diff --git a/doc/LectureNotes/_build/.doctrees/chapter1.doctree b/doc/LectureNotes/_build/.doctrees/chapter1.doctree index 94ea5642e..0df604ef1 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter1.doctree and b/doc/LectureNotes/_build/.doctrees/chapter1.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter10.doctree b/doc/LectureNotes/_build/.doctrees/chapter10.doctree index 4d0b21b72..761ae4bee 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter10.doctree and b/doc/LectureNotes/_build/.doctrees/chapter10.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter11.doctree b/doc/LectureNotes/_build/.doctrees/chapter11.doctree index 2888f1c03..c308f34a2 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter11.doctree and b/doc/LectureNotes/_build/.doctrees/chapter11.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter12.doctree b/doc/LectureNotes/_build/.doctrees/chapter12.doctree index 1878ff217..9d0fdb51a 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter12.doctree and b/doc/LectureNotes/_build/.doctrees/chapter12.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter13.doctree b/doc/LectureNotes/_build/.doctrees/chapter13.doctree index 827563280..6481503be 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter13.doctree and b/doc/LectureNotes/_build/.doctrees/chapter13.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter2.doctree b/doc/LectureNotes/_build/.doctrees/chapter2.doctree index d401ae5f7..7b62f34f9 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter2.doctree and b/doc/LectureNotes/_build/.doctrees/chapter2.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter3.doctree b/doc/LectureNotes/_build/.doctrees/chapter3.doctree index 97e466d69..39c66b93c 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter3.doctree and b/doc/LectureNotes/_build/.doctrees/chapter3.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter4.doctree b/doc/LectureNotes/_build/.doctrees/chapter4.doctree index a90937409..706b49562 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter4.doctree and b/doc/LectureNotes/_build/.doctrees/chapter4.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter5.doctree b/doc/LectureNotes/_build/.doctrees/chapter5.doctree index 63abe7851..3a996bbd2 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter5.doctree and b/doc/LectureNotes/_build/.doctrees/chapter5.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter6.doctree b/doc/LectureNotes/_build/.doctrees/chapter6.doctree index 409c7fd94..dc4e9a6d5 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter6.doctree and b/doc/LectureNotes/_build/.doctrees/chapter6.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter7.doctree b/doc/LectureNotes/_build/.doctrees/chapter7.doctree index 067ad271d..8f392b1d0 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter7.doctree and b/doc/LectureNotes/_build/.doctrees/chapter7.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter8.doctree b/doc/LectureNotes/_build/.doctrees/chapter8.doctree index b64b2890a..a01495e7a 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter8.doctree and b/doc/LectureNotes/_build/.doctrees/chapter8.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter9.doctree b/doc/LectureNotes/_build/.doctrees/chapter9.doctree index 15956465a..fb363dfaf 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter9.doctree and b/doc/LectureNotes/_build/.doctrees/chapter9.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapteroptimization.doctree b/doc/LectureNotes/_build/.doctrees/chapteroptimization.doctree index 601d894db..97d0a4a90 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapteroptimization.doctree and b/doc/LectureNotes/_build/.doctrees/chapteroptimization.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/clustering.doctree b/doc/LectureNotes/_build/.doctrees/clustering.doctree index 449148e45..69911a866 100644 Binary files a/doc/LectureNotes/_build/.doctrees/clustering.doctree and b/doc/LectureNotes/_build/.doctrees/clustering.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/environment.pickle b/doc/LectureNotes/_build/.doctrees/environment.pickle index d8c0d4231..1545778b9 100644 Binary files a/doc/LectureNotes/_build/.doctrees/environment.pickle and b/doc/LectureNotes/_build/.doctrees/environment.pickle differ diff --git a/doc/LectureNotes/_build/.doctrees/intro.doctree b/doc/LectureNotes/_build/.doctrees/intro.doctree index fdeb3b67a..6d9402c89 100644 Binary files a/doc/LectureNotes/_build/.doctrees/intro.doctree and b/doc/LectureNotes/_build/.doctrees/intro.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/linalg.doctree b/doc/LectureNotes/_build/.doctrees/linalg.doctree index 7d6519cfb..77ad5827f 100644 Binary files a/doc/LectureNotes/_build/.doctrees/linalg.doctree and b/doc/LectureNotes/_build/.doctrees/linalg.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/schedule.doctree b/doc/LectureNotes/_build/.doctrees/schedule.doctree index 496039e36..9e987195f 100644 Binary files a/doc/LectureNotes/_build/.doctrees/schedule.doctree and b/doc/LectureNotes/_build/.doctrees/schedule.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/statistics.doctree b/doc/LectureNotes/_build/.doctrees/statistics.doctree index 129516ac0..1a1d899f4 100644 Binary files a/doc/LectureNotes/_build/.doctrees/statistics.doctree and b/doc/LectureNotes/_build/.doctrees/statistics.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/teachers.doctree b/doc/LectureNotes/_build/.doctrees/teachers.doctree index 10781264b..d28563943 100644 Binary files a/doc/LectureNotes/_build/.doctrees/teachers.doctree and b/doc/LectureNotes/_build/.doctrees/teachers.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/textbooks.doctree b/doc/LectureNotes/_build/.doctrees/textbooks.doctree index cb9cbed7c..e877b54de 100644 Binary files a/doc/LectureNotes/_build/.doctrees/textbooks.doctree and b/doc/LectureNotes/_build/.doctrees/textbooks.doctree differ diff --git a/doc/LectureNotes/_build/html/.buildinfo b/doc/LectureNotes/_build/html/.buildinfo index 5b6492692..45ed82fee 100644 --- a/doc/LectureNotes/_build/html/.buildinfo +++ b/doc/LectureNotes/_build/html/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: a9e505bba12819eddbb16b6134269f44 +config: c810468e5ce15e612839c964bc8fee3e tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/doc/LectureNotes/_build/html/_images/chapter10_39_1.png b/doc/LectureNotes/_build/html/_images/chapter10_39_1.png index 379a0198a..51eceb2fa 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter10_39_1.png and b/doc/LectureNotes/_build/html/_images/chapter10_39_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter10_59_1.png b/doc/LectureNotes/_build/html/_images/chapter10_59_1.png index 44c9e3643..d8f678033 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter10_59_1.png and b/doc/LectureNotes/_build/html/_images/chapter10_59_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter10_59_2.png b/doc/LectureNotes/_build/html/_images/chapter10_59_2.png index 8bd0f3142..45a30c936 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter10_59_2.png and b/doc/LectureNotes/_build/html/_images/chapter10_59_2.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter10_63_0.png b/doc/LectureNotes/_build/html/_images/chapter10_63_0.png index 245832279..094f22b85 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter10_63_0.png and b/doc/LectureNotes/_build/html/_images/chapter10_63_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter10_63_1.png b/doc/LectureNotes/_build/html/_images/chapter10_63_1.png index 74f9c1c5c..63f89ad96 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter10_63_1.png and b/doc/LectureNotes/_build/html/_images/chapter10_63_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter11_50_2.png b/doc/LectureNotes/_build/html/_images/chapter11_50_2.png index b28d86a02..956ddd638 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter11_50_2.png and b/doc/LectureNotes/_build/html/_images/chapter11_50_2.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter11_52_3.png b/doc/LectureNotes/_build/html/_images/chapter11_52_3.png index 2b899f6a1..7db3d1d4b 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter11_52_3.png and b/doc/LectureNotes/_build/html/_images/chapter11_52_3.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter11_58_3.png b/doc/LectureNotes/_build/html/_images/chapter11_58_3.png index 927a7199c..293aa903e 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter11_58_3.png and b/doc/LectureNotes/_build/html/_images/chapter11_58_3.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter11_66_3.png b/doc/LectureNotes/_build/html/_images/chapter11_66_3.png index 927a7199c..293aa903e 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter11_66_3.png and b/doc/LectureNotes/_build/html/_images/chapter11_66_3.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter11_66_4.png b/doc/LectureNotes/_build/html/_images/chapter11_66_4.png index 27c5bfb18..ee57a0922 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter11_66_4.png and b/doc/LectureNotes/_build/html/_images/chapter11_66_4.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter11_79_3.png b/doc/LectureNotes/_build/html/_images/chapter11_79_3.png index 00efa2389..631cbe6f2 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter11_79_3.png and b/doc/LectureNotes/_build/html/_images/chapter11_79_3.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter11_91_3.png b/doc/LectureNotes/_build/html/_images/chapter11_91_3.png index 00efa2389..631cbe6f2 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter11_91_3.png and b/doc/LectureNotes/_build/html/_images/chapter11_91_3.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter11_91_4.png b/doc/LectureNotes/_build/html/_images/chapter11_91_4.png index 877808418..1501bfa50 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter11_91_4.png and b/doc/LectureNotes/_build/html/_images/chapter11_91_4.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter12_35_0.png b/doc/LectureNotes/_build/html/_images/chapter12_35_0.png index 1d404b058..717b85201 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter12_35_0.png and b/doc/LectureNotes/_build/html/_images/chapter12_35_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter12_51_0.png b/doc/LectureNotes/_build/html/_images/chapter12_51_0.png index dd32534b6..9e48fd308 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter12_51_0.png and b/doc/LectureNotes/_build/html/_images/chapter12_51_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter12_67_1.png b/doc/LectureNotes/_build/html/_images/chapter12_67_1.png index 379a0198a..51eceb2fa 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter12_67_1.png and b/doc/LectureNotes/_build/html/_images/chapter12_67_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter1_17_0.png b/doc/LectureNotes/_build/html/_images/chapter1_17_0.png index a06f1e3f9..3ef6ce168 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter1_17_0.png and b/doc/LectureNotes/_build/html/_images/chapter1_17_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter1_19_1.png b/doc/LectureNotes/_build/html/_images/chapter1_19_1.png index 1c9a4899a..294e0807a 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter1_19_1.png and b/doc/LectureNotes/_build/html/_images/chapter1_19_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter1_33_0.png b/doc/LectureNotes/_build/html/_images/chapter1_33_0.png index 37bbb1c40..58c2544fe 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter1_33_0.png and b/doc/LectureNotes/_build/html/_images/chapter1_33_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter1_9_0.png b/doc/LectureNotes/_build/html/_images/chapter1_9_0.png index 6b6183312..47c1974b9 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter1_9_0.png and b/doc/LectureNotes/_build/html/_images/chapter1_9_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter2_252_1.png b/doc/LectureNotes/_build/html/_images/chapter2_252_1.png index d8ec67fae..1523ad04e 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter2_252_1.png and b/doc/LectureNotes/_build/html/_images/chapter2_252_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter2_254_1.png b/doc/LectureNotes/_build/html/_images/chapter2_254_1.png index 866b6addf..d54160b06 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter2_254_1.png and b/doc/LectureNotes/_build/html/_images/chapter2_254_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter2_256_1.png b/doc/LectureNotes/_build/html/_images/chapter2_256_1.png index cf8636c6a..4cc8bc7af 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter2_256_1.png and b/doc/LectureNotes/_build/html/_images/chapter2_256_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter2_322_1.png b/doc/LectureNotes/_build/html/_images/chapter2_322_1.png index e184a69c3..39b8a1098 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter2_322_1.png and b/doc/LectureNotes/_build/html/_images/chapter2_322_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_107_1.png b/doc/LectureNotes/_build/html/_images/chapter3_107_1.png index b19ce68ff..a1fd46ceb 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_107_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_107_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_115_1.png b/doc/LectureNotes/_build/html/_images/chapter3_115_1.png index f0739f90b..3821ce9f2 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_115_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_115_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_117_1.png b/doc/LectureNotes/_build/html/_images/chapter3_117_1.png index 777ddf65d..d9db967e6 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_117_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_117_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_148_1.png b/doc/LectureNotes/_build/html/_images/chapter3_148_1.png index 725c516ea..1cd6fa01c 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_148_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_148_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_166_1.png b/doc/LectureNotes/_build/html/_images/chapter3_166_1.png index 65fecb046..a3695e94e 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_166_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_166_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_169_1.png b/doc/LectureNotes/_build/html/_images/chapter3_169_1.png index 4734554a7..488c7bbf2 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_169_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_169_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_173_1.png b/doc/LectureNotes/_build/html/_images/chapter3_173_1.png index 2bbd1309d..685fe5624 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_173_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_173_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_175_13.png b/doc/LectureNotes/_build/html/_images/chapter3_175_13.png index 12c31bd32..5e75c686c 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_175_13.png and b/doc/LectureNotes/_build/html/_images/chapter3_175_13.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_177_0.png b/doc/LectureNotes/_build/html/_images/chapter3_177_0.png index cb743e5e0..cda5e8387 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_177_0.png and b/doc/LectureNotes/_build/html/_images/chapter3_177_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_181_1.png b/doc/LectureNotes/_build/html/_images/chapter3_181_1.png index e8ce7f873..f87314e8e 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_181_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_181_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_47_0.png b/doc/LectureNotes/_build/html/_images/chapter3_47_0.png index 7c3e58057..ceae92705 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_47_0.png and b/doc/LectureNotes/_build/html/_images/chapter3_47_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_61_1.png b/doc/LectureNotes/_build/html/_images/chapter3_61_1.png index c514bcc01..733118952 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_61_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_61_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_62_2.png b/doc/LectureNotes/_build/html/_images/chapter3_62_2.png new file mode 100644 index 000000000..0a1c6cc0b Binary files /dev/null and b/doc/LectureNotes/_build/html/_images/chapter3_62_2.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_64_1.png b/doc/LectureNotes/_build/html/_images/chapter3_64_1.png index 3d8acee6a..235dc7cd4 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_64_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_64_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_65_7.png b/doc/LectureNotes/_build/html/_images/chapter3_65_7.png new file mode 100644 index 000000000..91df5a9db Binary files /dev/null and b/doc/LectureNotes/_build/html/_images/chapter3_65_7.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_71_0.png b/doc/LectureNotes/_build/html/_images/chapter3_71_0.png index 29304c20b..72bf297aa 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_71_0.png and b/doc/LectureNotes/_build/html/_images/chapter3_71_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter3_73_1.png b/doc/LectureNotes/_build/html/_images/chapter3_73_1.png index a7d3b8edd..9984ffd4f 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter3_73_1.png and b/doc/LectureNotes/_build/html/_images/chapter3_73_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter4_13_0.png b/doc/LectureNotes/_build/html/_images/chapter4_13_0.png index f3903fe23..c7e0a279a 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter4_13_0.png and b/doc/LectureNotes/_build/html/_images/chapter4_13_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter4_13_1.png b/doc/LectureNotes/_build/html/_images/chapter4_13_1.png index 20fa7e789..505614198 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter4_13_1.png and b/doc/LectureNotes/_build/html/_images/chapter4_13_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter4_13_2.png b/doc/LectureNotes/_build/html/_images/chapter4_13_2.png index 6e50bbc94..ba64b6f5e 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter4_13_2.png and b/doc/LectureNotes/_build/html/_images/chapter4_13_2.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter4_51_0.png b/doc/LectureNotes/_build/html/_images/chapter4_51_0.png index 6d4c264e5..62296f1c5 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter4_51_0.png and b/doc/LectureNotes/_build/html/_images/chapter4_51_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter4_51_1.png b/doc/LectureNotes/_build/html/_images/chapter4_51_1.png index ef508fd2d..0895d8274 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter4_51_1.png and b/doc/LectureNotes/_build/html/_images/chapter4_51_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter4_5_1.png b/doc/LectureNotes/_build/html/_images/chapter4_5_1.png index e58ecca7e..6203309bc 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter4_5_1.png and b/doc/LectureNotes/_build/html/_images/chapter4_5_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter4_7_0.png b/doc/LectureNotes/_build/html/_images/chapter4_7_0.png index d0c25887d..7478e65cc 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter4_7_0.png and b/doc/LectureNotes/_build/html/_images/chapter4_7_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter5_109_0.png b/doc/LectureNotes/_build/html/_images/chapter5_109_0.png index 569dd00ae..4e06450f3 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter5_109_0.png and b/doc/LectureNotes/_build/html/_images/chapter5_109_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter5_129_0.png b/doc/LectureNotes/_build/html/_images/chapter5_129_0.png index e9ebfd7a9..2b3dca701 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter5_129_0.png and b/doc/LectureNotes/_build/html/_images/chapter5_129_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter5_129_2.png b/doc/LectureNotes/_build/html/_images/chapter5_129_2.png index a8256c580..7a9c8ee0e 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter5_129_2.png and b/doc/LectureNotes/_build/html/_images/chapter5_129_2.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter5_129_3.png b/doc/LectureNotes/_build/html/_images/chapter5_129_3.png index 96cd47c3e..0fc11fa31 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter5_129_3.png and b/doc/LectureNotes/_build/html/_images/chapter5_129_3.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter5_129_4.png b/doc/LectureNotes/_build/html/_images/chapter5_129_4.png index 6055574a4..e3da208e6 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter5_129_4.png and b/doc/LectureNotes/_build/html/_images/chapter5_129_4.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter5_129_6.png b/doc/LectureNotes/_build/html/_images/chapter5_129_6.png index af6b6fb2b..298f5f34b 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter5_129_6.png and b/doc/LectureNotes/_build/html/_images/chapter5_129_6.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter5_1_1.png b/doc/LectureNotes/_build/html/_images/chapter5_1_1.png index bcdce0fad..d37963eea 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter5_1_1.png and b/doc/LectureNotes/_build/html/_images/chapter5_1_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter6_1_1.png b/doc/LectureNotes/_build/html/_images/chapter6_1_1.png index a0ff0d08b..e92d8c52d 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter6_1_1.png and b/doc/LectureNotes/_build/html/_images/chapter6_1_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter6_1_2.png b/doc/LectureNotes/_build/html/_images/chapter6_1_2.png index dae722ea5..ca1164933 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter6_1_2.png and b/doc/LectureNotes/_build/html/_images/chapter6_1_2.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter8_65_1.png b/doc/LectureNotes/_build/html/_images/chapter8_65_1.png index ca1e82024..b57eff150 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter8_65_1.png and b/doc/LectureNotes/_build/html/_images/chapter8_65_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter9_29_0.png b/doc/LectureNotes/_build/html/_images/chapter9_29_0.png index 85d5833f1..f3dd6651b 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter9_29_0.png and b/doc/LectureNotes/_build/html/_images/chapter9_29_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter9_29_1.png b/doc/LectureNotes/_build/html/_images/chapter9_29_1.png index 1ff7a7cdf..debd85581 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter9_29_1.png and b/doc/LectureNotes/_build/html/_images/chapter9_29_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter9_29_2.png b/doc/LectureNotes/_build/html/_images/chapter9_29_2.png index 2c15fba38..77871a467 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter9_29_2.png and b/doc/LectureNotes/_build/html/_images/chapter9_29_2.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapter9_29_3.png b/doc/LectureNotes/_build/html/_images/chapter9_29_3.png index 9cba34795..521d25e3d 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapter9_29_3.png and b/doc/LectureNotes/_build/html/_images/chapter9_29_3.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapteroptimization_123_1.png b/doc/LectureNotes/_build/html/_images/chapteroptimization_123_1.png index e251f6bf2..8d7f2cc1b 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapteroptimization_123_1.png and b/doc/LectureNotes/_build/html/_images/chapteroptimization_123_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapteroptimization_132_1.png b/doc/LectureNotes/_build/html/_images/chapteroptimization_132_1.png index d17d05102..7ccbd1ddc 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapteroptimization_132_1.png and b/doc/LectureNotes/_build/html/_images/chapteroptimization_132_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapteroptimization_148_1.png b/doc/LectureNotes/_build/html/_images/chapteroptimization_148_1.png index 080f91cdf..28a4321ed 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapteroptimization_148_1.png and b/doc/LectureNotes/_build/html/_images/chapteroptimization_148_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapteroptimization_188_0.png b/doc/LectureNotes/_build/html/_images/chapteroptimization_188_0.png index 8f75d66ca..c8dbe4ea0 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapteroptimization_188_0.png and b/doc/LectureNotes/_build/html/_images/chapteroptimization_188_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapteroptimization_61_2.png b/doc/LectureNotes/_build/html/_images/chapteroptimization_61_2.png index e41281b5a..c5f37a043 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapteroptimization_61_2.png and b/doc/LectureNotes/_build/html/_images/chapteroptimization_61_2.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapteroptimization_63_0.png b/doc/LectureNotes/_build/html/_images/chapteroptimization_63_0.png index 9a11d2377..6c46b1b9d 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapteroptimization_63_0.png and b/doc/LectureNotes/_build/html/_images/chapteroptimization_63_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/chapteroptimization_69_1.png b/doc/LectureNotes/_build/html/_images/chapteroptimization_69_1.png index 73667a769..b4ae90113 100644 Binary files a/doc/LectureNotes/_build/html/_images/chapteroptimization_69_1.png and b/doc/LectureNotes/_build/html/_images/chapteroptimization_69_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/linalg_44_1.png b/doc/LectureNotes/_build/html/_images/linalg_44_1.png index 4c77e42d9..2e80ecf77 100644 Binary files a/doc/LectureNotes/_build/html/_images/linalg_44_1.png and b/doc/LectureNotes/_build/html/_images/linalg_44_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/statistics_181_0.png b/doc/LectureNotes/_build/html/_images/statistics_181_0.png index 67f950c3a..9ebf1ec3e 100644 Binary files a/doc/LectureNotes/_build/html/_images/statistics_181_0.png and b/doc/LectureNotes/_build/html/_images/statistics_181_0.png differ diff --git a/doc/LectureNotes/_build/html/_images/statistics_188_1.png b/doc/LectureNotes/_build/html/_images/statistics_188_1.png index 9f8140fbe..8fe8c9418 100644 Binary files a/doc/LectureNotes/_build/html/_images/statistics_188_1.png and b/doc/LectureNotes/_build/html/_images/statistics_188_1.png differ diff --git a/doc/LectureNotes/_build/html/_images/statistics_32_0.png b/doc/LectureNotes/_build/html/_images/statistics_32_0.png index 5adbf9cac..02d4353f5 100644 Binary files a/doc/LectureNotes/_build/html/_images/statistics_32_0.png and b/doc/LectureNotes/_build/html/_images/statistics_32_0.png differ diff --git a/doc/LectureNotes/_build/html/_sources/schedule.md b/doc/LectureNotes/_build/html/_sources/schedule.md index 7a1bca191..f6cd147c1 100644 --- a/doc/LectureNotes/_build/html/_sources/schedule.md +++ b/doc/LectureNotes/_build/html/_sources/schedule.md @@ -93,7 +93,7 @@ For the reading assignments we use the following abbreviations: - Video of lecture at https://youtu.be/rDBj50Lv3Go * Friday: Stochastic Gradient descent with examples and automatic differentiation - + - Video of lecture at https://youtu.be/OH6I_oscwPc * Reading recommendations: - See lecture notes for week 39 at https://compphysics.github.io/MachineLearning/doc/web/course.html. - For a good discussion on gradient methods, see Goodfellow et al section 4.3-4.5 and chapter 8. We will come back to the latter chapter in our discussion of Neural networks as well. diff --git a/doc/LectureNotes/_build/html/_static/basic.css b/doc/LectureNotes/_build/html/_static/basic.css index 10301e15e..d54be8067 100644 --- a/doc/LectureNotes/_build/html/_static/basic.css +++ b/doc/LectureNotes/_build/html/_static/basic.css @@ -4,7 +4,7 @@ * * Sphinx stylesheet -- basic theme. * - * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -731,8 +731,9 @@ dl.glossary dt { .classifier:before { font-style: normal; - margin: 0.5em; + margin: 0 0.5em; content: ":"; + display: inline-block; } abbr, acronym { @@ -756,6 +757,7 @@ span.pre { -ms-hyphens: none; -webkit-hyphens: none; hyphens: none; + white-space: nowrap; } div[class*="highlight-"] { diff --git a/doc/LectureNotes/_build/html/_static/copy-button.svg b/doc/LectureNotes/_build/html/_static/copy-button.svg index b888a20df..9c074dae5 100644 --- a/doc/LectureNotes/_build/html/_static/copy-button.svg +++ b/doc/LectureNotes/_build/html/_static/copy-button.svg @@ -1,5 +1,5 @@ - + - - + + diff --git a/doc/LectureNotes/_build/html/_static/copybutton.css b/doc/LectureNotes/_build/html/_static/copybutton.css index 5d291490c..40eafe5fc 100644 --- a/doc/LectureNotes/_build/html/_static/copybutton.css +++ b/doc/LectureNotes/_build/html/_static/copybutton.css @@ -3,7 +3,7 @@ button.copybtn { position: absolute; display: flex; top: .3em; - right: .5em; + right: .3em; width: 1.7em; height: 1.7em; opacity: 0; @@ -13,17 +13,22 @@ button.copybtn { border: none; outline: none; border-radius: 0.4em; - border: #e1e1e1 1px solid; - background-color: rgb(245, 245, 245); + /* The colors that GitHub uses */ + border: #1b1f2426 1px solid; + background-color: #f6f8fa; + color: #57606a; } button.copybtn.success { border-color: #22863a; + color: #22863a; } -button.copybtn img { - width: 100%; - padding: .2em; +button.copybtn svg { + stroke: currentColor; + width: 1.5em; + height: 1.5em; + padding: 0.1em; } div.highlight { @@ -79,3 +84,10 @@ div.highlight { transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); transition-delay: .5s; } + +/* By default the copy button shouldn't show up when printing a page */ +@media print { + button.copybtn { + display: none; + } +} diff --git a/doc/LectureNotes/_build/html/_static/copybutton.js b/doc/LectureNotes/_build/html/_static/copybutton.js index 482bda03c..40ac33108 100644 --- a/doc/LectureNotes/_build/html/_static/copybutton.js +++ b/doc/LectureNotes/_build/html/_static/copybutton.js @@ -35,6 +35,12 @@ const messages = { 'copy_to_clipboard': '复制到剪贴板', 'copy_success': '复制成功!', 'copy_failure': '复制失败', + }, + 'it' : { + 'copy': 'Copiare', + 'copy_to_clipboard': 'Copiato negli appunti', + 'copy_success': 'Copiato!', + 'copy_failure': 'Errore durante la copia', } } @@ -49,7 +55,25 @@ if (doc_url_root == '#') { doc_url_root = ''; } -const path_static = `${doc_url_root}_static/`; +/** + * SVG files for our copy buttons + */ +let iconCheck = ` + ${messages[locale]['copy_success']} + + +` + +// If the user specified their own SVG use that, otherwise use the default +let iconCopy = ``; +if (!iconCopy) { + iconCopy = ` + ${messages[locale]['copy_to_clipboard']} + + + +` +} /** * Set up copy/paste for code blocks @@ -88,9 +112,8 @@ const temporarilyChangeTooltip = (el, oldText, newText) => { // Changes the copy button icon for two seconds, then changes it back const temporarilyChangeIcon = (el) => { - img = el.querySelector("img"); - img.setAttribute('src', `${path_static}check-solid.svg`) - setTimeout(() => img.setAttribute('src', `${path_static}copy-button.svg`), 2000) + el.innerHTML = iconCheck; + setTimeout(() => {el.innerHTML = iconCopy}, 2000) } const addCopyButtonToCodeCells = () => { @@ -109,7 +132,7 @@ const addCopyButtonToCodeCells = () => { const clipboardButton = id => `${messages[locale]['copy_to_clipboard']} + ${iconCopy} ` codeCell.insertAdjacentHTML('afterend', clipboardButton(id)) }) diff --git a/doc/LectureNotes/_build/html/_static/css/theme.css b/doc/LectureNotes/_build/html/_static/css/theme.css index 3f6e79dab..2e03fe372 100644 --- a/doc/LectureNotes/_build/html/_static/css/theme.css +++ b/doc/LectureNotes/_build/html/_static/css/theme.css @@ -1,3 +1,6 @@ +/* Provided by the Sphinx base theme template at build time */ +@import "../basic.css"; + :root { /***************************************************************************** * Theme config diff --git a/doc/LectureNotes/_build/html/_static/doctools.js b/doc/LectureNotes/_build/html/_static/doctools.js index 8cbf1b161..e509e4834 100644 --- a/doc/LectureNotes/_build/html/_static/doctools.js +++ b/doc/LectureNotes/_build/html/_static/doctools.js @@ -4,7 +4,7 @@ * * Sphinx JavaScript utilities for all documentation. * - * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -264,6 +264,9 @@ var Documentation = { hideSearchWords : function() { $('#searchbox .highlight-link').fadeOut(300); $('span.highlighted').removeClass('highlighted'); + var url = new URL(window.location); + url.searchParams.delete('highlight'); + window.history.replaceState({}, '', url); }, /** diff --git a/doc/LectureNotes/_build/html/_static/language_data.js b/doc/LectureNotes/_build/html/_static/language_data.js index 863704b31..ebe2f03bf 100644 --- a/doc/LectureNotes/_build/html/_static/language_data.js +++ b/doc/LectureNotes/_build/html/_static/language_data.js @@ -5,7 +5,7 @@ * This script contains the language-specific data used by searchtools.js, * namely the list of stopwords, stemmer, scorer and splitter. * - * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ diff --git a/doc/LectureNotes/_build/html/_static/mystnb.css b/doc/LectureNotes/_build/html/_static/mystnb.css index b44e2abdd..e0ca0e1b2 100644 --- a/doc/LectureNotes/_build/html/_static/mystnb.css +++ b/doc/LectureNotes/_build/html/_static/mystnb.css @@ -181,3 +181,1542 @@ div.highlight .-Color[class*=-BGCyan] { div.highlight .-Color[class*=-BGWhite] { background-color: #C5C1B4 } + +/* Font colors for 8-bit ANSI */ + +div.highlight .-Color[class*=-C0] { + color: #000000 +} +div.highlight .-Color[class*=-BGC0] { + background-color: #000000 +} +div.highlight .-Color[class*=-C1] { + color: #800000 +} +div.highlight .-Color[class*=-BGC1] { + background-color: #800000 +} +div.highlight .-Color[class*=-C2] { + color: #008000 +} +div.highlight .-Color[class*=-BGC2] { + background-color: #008000 +} +div.highlight .-Color[class*=-C3] { + color: #808000 +} +div.highlight .-Color[class*=-BGC3] { + background-color: #808000 +} +div.highlight .-Color[class*=-C4] { + color: #000080 +} +div.highlight .-Color[class*=-BGC4] { + background-color: #000080 +} +div.highlight .-Color[class*=-C5] { + color: #800080 +} +div.highlight .-Color[class*=-BGC5] { + background-color: #800080 +} +div.highlight .-Color[class*=-C6] { + color: #008080 +} +div.highlight .-Color[class*=-BGC6] { + background-color: #008080 +} +div.highlight .-Color[class*=-C7] { + color: #C0C0C0 +} +div.highlight .-Color[class*=-BGC7] { + background-color: #C0C0C0 +} +div.highlight .-Color[class*=-C8] { + color: #808080 +} +div.highlight .-Color[class*=-BGC8] { + background-color: #808080 +} +div.highlight .-Color[class*=-C9] { + color: #FF0000 +} +div.highlight .-Color[class*=-BGC9] { + background-color: #FF0000 +} +div.highlight .-Color[class*=-C10] { + color: #00FF00 +} +div.highlight .-Color[class*=-BGC10] { + background-color: #00FF00 +} +div.highlight .-Color[class*=-C11] { + color: #FFFF00 +} +div.highlight .-Color[class*=-BGC11] { + background-color: #FFFF00 +} +div.highlight .-Color[class*=-C12] { + color: #0000FF +} +div.highlight .-Color[class*=-BGC12] { + background-color: #0000FF +} +div.highlight .-Color[class*=-C13] { + color: #FF00FF +} +div.highlight .-Color[class*=-BGC13] { + background-color: #FF00FF +} +div.highlight .-Color[class*=-C14] { + color: #00FFFF +} +div.highlight .-Color[class*=-BGC14] { + background-color: #00FFFF +} +div.highlight .-Color[class*=-C15] { + color: #FFFFFF +} +div.highlight .-Color[class*=-BGC15] { + background-color: #FFFFFF +} +div.highlight .-Color[class*=-C16] { + color: #000000 +} +div.highlight .-Color[class*=-BGC16] { + background-color: #000000 +} +div.highlight .-Color[class*=-C17] { + color: #00005F +} +div.highlight .-Color[class*=-BGC17] { + background-color: #00005F +} +div.highlight .-Color[class*=-C18] { + color: #000087 +} +div.highlight .-Color[class*=-BGC18] { + background-color: #000087 +} +div.highlight .-Color[class*=-C19] { + color: #0000AF +} +div.highlight .-Color[class*=-BGC19] { + background-color: #0000AF +} +div.highlight .-Color[class*=-C20] { + color: #0000D7 +} +div.highlight .-Color[class*=-BGC20] { + background-color: #0000D7 +} +div.highlight .-Color[class*=-C21] { + color: #0000FF +} +div.highlight .-Color[class*=-BGC21] { + background-color: #0000FF +} +div.highlight .-Color[class*=-C22] { + color: #005F00 +} +div.highlight .-Color[class*=-BGC22] { + background-color: #005F00 +} +div.highlight .-Color[class*=-C23] { + color: #005F5F +} +div.highlight .-Color[class*=-BGC23] { + background-color: #005F5F +} +div.highlight .-Color[class*=-C24] { + color: #005F87 +} +div.highlight .-Color[class*=-BGC24] { + background-color: #005F87 +} +div.highlight .-Color[class*=-C25] { + color: #005FAF +} +div.highlight .-Color[class*=-BGC25] { + background-color: #005FAF +} +div.highlight .-Color[class*=-C26] { + color: #005FD7 +} +div.highlight .-Color[class*=-BGC26] { + background-color: #005FD7 +} +div.highlight .-Color[class*=-C27] { + color: #005FFF +} +div.highlight .-Color[class*=-BGC27] { + background-color: #005FFF +} +div.highlight .-Color[class*=-C28] { + color: #008700 +} +div.highlight .-Color[class*=-BGC28] { + background-color: #008700 +} +div.highlight .-Color[class*=-C29] { + color: #00875F +} +div.highlight .-Color[class*=-BGC29] { + background-color: #00875F +} +div.highlight .-Color[class*=-C30] { + color: #008787 +} +div.highlight .-Color[class*=-BGC30] { + background-color: #008787 +} +div.highlight .-Color[class*=-C31] { + color: #0087AF +} +div.highlight .-Color[class*=-BGC31] { + background-color: #0087AF +} +div.highlight .-Color[class*=-C32] { + color: #0087D7 +} +div.highlight .-Color[class*=-BGC32] { + background-color: #0087D7 +} +div.highlight .-Color[class*=-C33] { + color: #0087FF +} +div.highlight .-Color[class*=-BGC33] { + background-color: #0087FF +} +div.highlight .-Color[class*=-C34] { + color: #00AF00 +} +div.highlight .-Color[class*=-BGC34] { + background-color: #00AF00 +} +div.highlight .-Color[class*=-C35] { + color: #00AF5F +} +div.highlight .-Color[class*=-BGC35] { + background-color: #00AF5F +} +div.highlight .-Color[class*=-C36] { + color: #00AF87 +} +div.highlight .-Color[class*=-BGC36] { + background-color: #00AF87 +} +div.highlight .-Color[class*=-C37] { + color: #00AFAF +} +div.highlight .-Color[class*=-BGC37] { + background-color: #00AFAF +} +div.highlight .-Color[class*=-C38] { + color: #00AFD7 +} +div.highlight .-Color[class*=-BGC38] { + background-color: #00AFD7 +} +div.highlight .-Color[class*=-C39] { + color: #00AFFF +} +div.highlight .-Color[class*=-BGC39] { + background-color: #00AFFF +} +div.highlight .-Color[class*=-C40] { + color: #00D700 +} +div.highlight .-Color[class*=-BGC40] { + background-color: #00D700 +} +div.highlight .-Color[class*=-C41] { + color: #00D75F +} +div.highlight .-Color[class*=-BGC41] { + background-color: #00D75F +} +div.highlight .-Color[class*=-C42] { + color: #00D787 +} +div.highlight .-Color[class*=-BGC42] { + background-color: #00D787 +} +div.highlight .-Color[class*=-C43] { + color: #00D7AF +} +div.highlight .-Color[class*=-BGC43] { + background-color: #00D7AF +} +div.highlight .-Color[class*=-C44] { + color: #00D7D7 +} +div.highlight .-Color[class*=-BGC44] { + background-color: #00D7D7 +} +div.highlight .-Color[class*=-C45] { + color: #00D7FF +} +div.highlight .-Color[class*=-BGC45] { + background-color: #00D7FF +} +div.highlight .-Color[class*=-C46] { + color: #00FF00 +} +div.highlight .-Color[class*=-BGC46] { + background-color: #00FF00 +} +div.highlight .-Color[class*=-C47] { + color: #00FF5F +} +div.highlight .-Color[class*=-BGC47] { + background-color: #00FF5F +} +div.highlight .-Color[class*=-C48] { + color: #00FF87 +} +div.highlight .-Color[class*=-BGC48] { + background-color: #00FF87 +} +div.highlight .-Color[class*=-C49] { + color: #00FFAF +} +div.highlight .-Color[class*=-BGC49] { + background-color: #00FFAF +} +div.highlight .-Color[class*=-C50] { + color: #00FFD7 +} +div.highlight .-Color[class*=-BGC50] { + background-color: #00FFD7 +} +div.highlight .-Color[class*=-C51] { + color: #00FFFF +} +div.highlight .-Color[class*=-BGC51] { + background-color: #00FFFF +} +div.highlight .-Color[class*=-C52] { + color: #5F0000 +} +div.highlight .-Color[class*=-BGC52] { + background-color: #5F0000 +} +div.highlight .-Color[class*=-C53] { + color: #5F005F +} +div.highlight .-Color[class*=-BGC53] { + background-color: #5F005F +} +div.highlight .-Color[class*=-C54] { + color: #5F0087 +} +div.highlight .-Color[class*=-BGC54] { + background-color: #5F0087 +} +div.highlight .-Color[class*=-C55] { + color: #5F00AF +} +div.highlight .-Color[class*=-BGC55] { + background-color: #5F00AF +} +div.highlight .-Color[class*=-C56] { + color: #5F00D7 +} +div.highlight .-Color[class*=-BGC56] { + background-color: #5F00D7 +} +div.highlight .-Color[class*=-C57] { + color: #5F00FF +} +div.highlight .-Color[class*=-BGC57] { + background-color: #5F00FF +} +div.highlight .-Color[class*=-C58] { + color: #5F5F00 +} +div.highlight .-Color[class*=-BGC58] { + background-color: #5F5F00 +} +div.highlight .-Color[class*=-C59] { + color: #5F5F5F +} +div.highlight .-Color[class*=-BGC59] { + background-color: #5F5F5F +} +div.highlight .-Color[class*=-C60] { + color: #5F5F87 +} +div.highlight .-Color[class*=-BGC60] { + background-color: #5F5F87 +} +div.highlight .-Color[class*=-C61] { + color: #5F5FAF +} +div.highlight .-Color[class*=-BGC61] { + background-color: #5F5FAF +} +div.highlight .-Color[class*=-C62] { + color: #5F5FD7 +} +div.highlight .-Color[class*=-BGC62] { + background-color: #5F5FD7 +} +div.highlight .-Color[class*=-C63] { + color: #5F5FFF +} +div.highlight .-Color[class*=-BGC63] { + background-color: #5F5FFF +} +div.highlight .-Color[class*=-C64] { + color: #5F8700 +} +div.highlight .-Color[class*=-BGC64] { + background-color: #5F8700 +} +div.highlight .-Color[class*=-C65] { + color: #5F875F +} +div.highlight .-Color[class*=-BGC65] { + background-color: #5F875F +} +div.highlight .-Color[class*=-C66] { + color: #5F8787 +} +div.highlight .-Color[class*=-BGC66] { + background-color: #5F8787 +} +div.highlight .-Color[class*=-C67] { + color: #5F87AF +} +div.highlight .-Color[class*=-BGC67] { + background-color: #5F87AF +} +div.highlight .-Color[class*=-C68] { + color: #5F87D7 +} +div.highlight .-Color[class*=-BGC68] { + background-color: #5F87D7 +} +div.highlight .-Color[class*=-C69] { + color: #5F87FF +} +div.highlight .-Color[class*=-BGC69] { + background-color: #5F87FF +} +div.highlight .-Color[class*=-C70] { + color: #5FAF00 +} +div.highlight .-Color[class*=-BGC70] { + background-color: #5FAF00 +} +div.highlight .-Color[class*=-C71] { + color: #5FAF5F +} +div.highlight .-Color[class*=-BGC71] { + background-color: #5FAF5F +} +div.highlight .-Color[class*=-C72] { + color: #5FAF87 +} +div.highlight .-Color[class*=-BGC72] { + background-color: #5FAF87 +} +div.highlight .-Color[class*=-C73] { + color: #5FAFAF +} +div.highlight .-Color[class*=-BGC73] { + background-color: #5FAFAF +} +div.highlight .-Color[class*=-C74] { + color: #5FAFD7 +} +div.highlight .-Color[class*=-BGC74] { + background-color: #5FAFD7 +} +div.highlight .-Color[class*=-C75] { + color: #5FAFFF +} +div.highlight .-Color[class*=-BGC75] { + background-color: #5FAFFF +} +div.highlight .-Color[class*=-C76] { + color: #5FD700 +} +div.highlight .-Color[class*=-BGC76] { + background-color: #5FD700 +} +div.highlight .-Color[class*=-C77] { + color: #5FD75F +} +div.highlight .-Color[class*=-BGC77] { + background-color: #5FD75F +} +div.highlight .-Color[class*=-C78] { + color: #5FD787 +} +div.highlight .-Color[class*=-BGC78] { + background-color: #5FD787 +} +div.highlight .-Color[class*=-C79] { + color: #5FD7AF +} +div.highlight .-Color[class*=-BGC79] { + background-color: #5FD7AF +} +div.highlight .-Color[class*=-C80] { + color: #5FD7D7 +} +div.highlight .-Color[class*=-BGC80] { + background-color: #5FD7D7 +} +div.highlight .-Color[class*=-C81] { + color: #5FD7FF +} +div.highlight .-Color[class*=-BGC81] { + background-color: #5FD7FF +} +div.highlight .-Color[class*=-C82] { + color: #5FFF00 +} +div.highlight .-Color[class*=-BGC82] { + background-color: #5FFF00 +} +div.highlight .-Color[class*=-C83] { + color: #5FFF5F +} +div.highlight .-Color[class*=-BGC83] { + background-color: #5FFF5F +} +div.highlight .-Color[class*=-C84] { + color: #5FFF87 +} +div.highlight .-Color[class*=-BGC84] { + background-color: #5FFF87 +} +div.highlight .-Color[class*=-C85] { + color: #5FFFAF +} +div.highlight .-Color[class*=-BGC85] { + background-color: #5FFFAF +} +div.highlight .-Color[class*=-C86] { + color: #5FFFD7 +} +div.highlight .-Color[class*=-BGC86] { + background-color: #5FFFD7 +} +div.highlight .-Color[class*=-C87] { + color: #5FFFFF +} +div.highlight .-Color[class*=-BGC87] { + background-color: #5FFFFF +} +div.highlight .-Color[class*=-C88] { + color: #870000 +} +div.highlight .-Color[class*=-BGC88] { + background-color: #870000 +} +div.highlight .-Color[class*=-C89] { + color: #87005F +} +div.highlight .-Color[class*=-BGC89] { + background-color: #87005F +} +div.highlight .-Color[class*=-C90] { + color: #870087 +} +div.highlight .-Color[class*=-BGC90] { + background-color: #870087 +} +div.highlight .-Color[class*=-C91] { + color: #8700AF +} +div.highlight .-Color[class*=-BGC91] { + background-color: #8700AF +} +div.highlight .-Color[class*=-C92] { + color: #8700D7 +} +div.highlight .-Color[class*=-BGC92] { + background-color: #8700D7 +} +div.highlight .-Color[class*=-C93] { + color: #8700FF +} +div.highlight .-Color[class*=-BGC93] { + background-color: #8700FF +} +div.highlight .-Color[class*=-C94] { + color: #875F00 +} +div.highlight .-Color[class*=-BGC94] { + background-color: #875F00 +} +div.highlight .-Color[class*=-C95] { + color: #875F5F +} +div.highlight .-Color[class*=-BGC95] { + background-color: #875F5F +} +div.highlight .-Color[class*=-C96] { + color: #875F87 +} +div.highlight .-Color[class*=-BGC96] { + background-color: #875F87 +} +div.highlight .-Color[class*=-C97] { + color: #875FAF +} +div.highlight .-Color[class*=-BGC97] { + background-color: #875FAF +} +div.highlight .-Color[class*=-C98] { + color: #875FD7 +} +div.highlight .-Color[class*=-BGC98] { + background-color: #875FD7 +} +div.highlight .-Color[class*=-C99] { + color: #875FFF +} +div.highlight .-Color[class*=-BGC99] { + background-color: #875FFF +} +div.highlight .-Color[class*=-C100] { + color: #878700 +} +div.highlight .-Color[class*=-BGC100] { + background-color: #878700 +} +div.highlight .-Color[class*=-C101] { + color: #87875F +} +div.highlight .-Color[class*=-BGC101] { + background-color: #87875F +} +div.highlight .-Color[class*=-C102] { + color: #878787 +} +div.highlight .-Color[class*=-BGC102] { + background-color: #878787 +} +div.highlight .-Color[class*=-C103] { + color: #8787AF +} +div.highlight .-Color[class*=-BGC103] { + background-color: #8787AF +} +div.highlight .-Color[class*=-C104] { + color: #8787D7 +} +div.highlight .-Color[class*=-BGC104] { + background-color: #8787D7 +} +div.highlight .-Color[class*=-C105] { + color: #8787FF +} +div.highlight .-Color[class*=-BGC105] { + background-color: #8787FF +} +div.highlight .-Color[class*=-C106] { + color: #87AF00 +} +div.highlight .-Color[class*=-BGC106] { + background-color: #87AF00 +} +div.highlight .-Color[class*=-C107] { + color: #87AF5F +} +div.highlight .-Color[class*=-BGC107] { + background-color: #87AF5F +} +div.highlight .-Color[class*=-C108] { + color: #87AF87 +} +div.highlight .-Color[class*=-BGC108] { + background-color: #87AF87 +} +div.highlight .-Color[class*=-C109] { + color: #87AFAF +} +div.highlight .-Color[class*=-BGC109] { + background-color: #87AFAF +} +div.highlight .-Color[class*=-C110] { + color: #87AFD7 +} +div.highlight .-Color[class*=-BGC110] { + background-color: #87AFD7 +} +div.highlight .-Color[class*=-C111] { + color: #87AFFF +} +div.highlight .-Color[class*=-BGC111] { + background-color: #87AFFF +} +div.highlight .-Color[class*=-C112] { + color: #87D700 +} +div.highlight .-Color[class*=-BGC112] { + background-color: #87D700 +} +div.highlight .-Color[class*=-C113] { + color: #87D75F +} +div.highlight .-Color[class*=-BGC113] { + background-color: #87D75F +} +div.highlight .-Color[class*=-C114] { + color: #87D787 +} +div.highlight .-Color[class*=-BGC114] { + background-color: #87D787 +} +div.highlight .-Color[class*=-C115] { + color: #87D7AF +} +div.highlight .-Color[class*=-BGC115] { + background-color: #87D7AF +} +div.highlight .-Color[class*=-C116] { + color: #87D7D7 +} +div.highlight .-Color[class*=-BGC116] { + background-color: #87D7D7 +} +div.highlight .-Color[class*=-C117] { + color: #87D7FF +} +div.highlight .-Color[class*=-BGC117] { + background-color: #87D7FF +} +div.highlight .-Color[class*=-C118] { + color: #87FF00 +} +div.highlight .-Color[class*=-BGC118] { + background-color: #87FF00 +} +div.highlight .-Color[class*=-C119] { + color: #87FF5F +} +div.highlight .-Color[class*=-BGC119] { + background-color: #87FF5F +} +div.highlight .-Color[class*=-C120] { + color: #87FF87 +} +div.highlight .-Color[class*=-BGC120] { + background-color: #87FF87 +} +div.highlight .-Color[class*=-C121] { + color: #87FFAF +} +div.highlight .-Color[class*=-BGC121] { + background-color: #87FFAF +} +div.highlight .-Color[class*=-C122] { + color: #87FFD7 +} +div.highlight .-Color[class*=-BGC122] { + background-color: #87FFD7 +} +div.highlight .-Color[class*=-C123] { + color: #87FFFF +} +div.highlight .-Color[class*=-BGC123] { + background-color: #87FFFF +} +div.highlight .-Color[class*=-C124] { + color: #AF0000 +} +div.highlight .-Color[class*=-BGC124] { + background-color: #AF0000 +} +div.highlight .-Color[class*=-C125] { + color: #AF005F +} +div.highlight .-Color[class*=-BGC125] { + background-color: #AF005F +} +div.highlight .-Color[class*=-C126] { + color: #AF0087 +} +div.highlight .-Color[class*=-BGC126] { + background-color: #AF0087 +} +div.highlight .-Color[class*=-C127] { + color: #AF00AF +} +div.highlight .-Color[class*=-BGC127] { + background-color: #AF00AF +} +div.highlight .-Color[class*=-C128] { + color: #AF00D7 +} +div.highlight .-Color[class*=-BGC128] { + background-color: #AF00D7 +} +div.highlight .-Color[class*=-C129] { + color: #AF00FF +} +div.highlight .-Color[class*=-BGC129] { + background-color: #AF00FF +} +div.highlight .-Color[class*=-C130] { + color: #AF5F00 +} +div.highlight .-Color[class*=-BGC130] { + background-color: #AF5F00 +} +div.highlight .-Color[class*=-C131] { + color: #AF5F5F +} +div.highlight .-Color[class*=-BGC131] { + background-color: #AF5F5F +} +div.highlight .-Color[class*=-C132] { + color: #AF5F87 +} +div.highlight .-Color[class*=-BGC132] { + background-color: #AF5F87 +} +div.highlight .-Color[class*=-C133] { + color: #AF5FAF +} +div.highlight .-Color[class*=-BGC133] { + background-color: #AF5FAF +} +div.highlight .-Color[class*=-C134] { + color: #AF5FD7 +} +div.highlight .-Color[class*=-BGC134] { + background-color: #AF5FD7 +} +div.highlight .-Color[class*=-C135] { + color: #AF5FFF +} +div.highlight .-Color[class*=-BGC135] { + background-color: #AF5FFF +} +div.highlight .-Color[class*=-C136] { + color: #AF8700 +} +div.highlight .-Color[class*=-BGC136] { + background-color: #AF8700 +} +div.highlight .-Color[class*=-C137] { + color: #AF875F +} +div.highlight .-Color[class*=-BGC137] { + background-color: #AF875F +} +div.highlight .-Color[class*=-C138] { + color: #AF8787 +} +div.highlight .-Color[class*=-BGC138] { + background-color: #AF8787 +} +div.highlight .-Color[class*=-C139] { + color: #AF87AF +} +div.highlight .-Color[class*=-BGC139] { + background-color: #AF87AF +} +div.highlight .-Color[class*=-C140] { + color: #AF87D7 +} +div.highlight .-Color[class*=-BGC140] { + background-color: #AF87D7 +} +div.highlight .-Color[class*=-C141] { + color: #AF87FF +} +div.highlight .-Color[class*=-BGC141] { + background-color: #AF87FF +} +div.highlight .-Color[class*=-C142] { + color: #AFAF00 +} +div.highlight .-Color[class*=-BGC142] { + background-color: #AFAF00 +} +div.highlight .-Color[class*=-C143] { + color: #AFAF5F +} +div.highlight .-Color[class*=-BGC143] { + background-color: #AFAF5F +} +div.highlight .-Color[class*=-C144] { + color: #AFAF87 +} +div.highlight .-Color[class*=-BGC144] { + background-color: #AFAF87 +} +div.highlight .-Color[class*=-C145] { + color: #AFAFAF +} +div.highlight .-Color[class*=-BGC145] { + background-color: #AFAFAF +} +div.highlight .-Color[class*=-C146] { + color: #AFAFD7 +} +div.highlight .-Color[class*=-BGC146] { + background-color: #AFAFD7 +} +div.highlight .-Color[class*=-C147] { + color: #AFAFFF +} +div.highlight .-Color[class*=-BGC147] { + background-color: #AFAFFF +} +div.highlight .-Color[class*=-C148] { + color: #AFD700 +} +div.highlight .-Color[class*=-BGC148] { + background-color: #AFD700 +} +div.highlight .-Color[class*=-C149] { + color: #AFD75F +} +div.highlight .-Color[class*=-BGC149] { + background-color: #AFD75F +} +div.highlight .-Color[class*=-C150] { + color: #AFD787 +} +div.highlight .-Color[class*=-BGC150] { + background-color: #AFD787 +} +div.highlight .-Color[class*=-C151] { + color: #AFD7AF +} +div.highlight .-Color[class*=-BGC151] { + background-color: #AFD7AF +} +div.highlight .-Color[class*=-C152] { + color: #AFD7D7 +} +div.highlight .-Color[class*=-BGC152] { + background-color: #AFD7D7 +} +div.highlight .-Color[class*=-C153] { + color: #AFD7FF +} +div.highlight .-Color[class*=-BGC153] { + background-color: #AFD7FF +} +div.highlight .-Color[class*=-C154] { + color: #AFFF00 +} +div.highlight .-Color[class*=-BGC154] { + background-color: #AFFF00 +} +div.highlight .-Color[class*=-C155] { + color: #AFFF5F +} +div.highlight .-Color[class*=-BGC155] { + background-color: #AFFF5F +} +div.highlight .-Color[class*=-C156] { + color: #AFFF87 +} +div.highlight .-Color[class*=-BGC156] { + background-color: #AFFF87 +} +div.highlight .-Color[class*=-C157] { + color: #AFFFAF +} +div.highlight .-Color[class*=-BGC157] { + background-color: #AFFFAF +} +div.highlight .-Color[class*=-C158] { + color: #AFFFD7 +} +div.highlight .-Color[class*=-BGC158] { + background-color: #AFFFD7 +} +div.highlight .-Color[class*=-C159] { + color: #AFFFFF +} +div.highlight .-Color[class*=-BGC159] { + background-color: #AFFFFF +} +div.highlight .-Color[class*=-C160] { + color: #D70000 +} +div.highlight .-Color[class*=-BGC160] { + background-color: #D70000 +} +div.highlight .-Color[class*=-C161] { + color: #D7005F +} +div.highlight .-Color[class*=-BGC161] { + background-color: #D7005F +} +div.highlight .-Color[class*=-C162] { + color: #D70087 +} +div.highlight .-Color[class*=-BGC162] { + background-color: #D70087 +} +div.highlight .-Color[class*=-C163] { + color: #D700AF +} +div.highlight .-Color[class*=-BGC163] { + background-color: #D700AF +} +div.highlight .-Color[class*=-C164] { + color: #D700D7 +} +div.highlight .-Color[class*=-BGC164] { + background-color: #D700D7 +} +div.highlight .-Color[class*=-C165] { + color: #D700FF +} +div.highlight .-Color[class*=-BGC165] { + background-color: #D700FF +} +div.highlight .-Color[class*=-C166] { + color: #D75F00 +} +div.highlight .-Color[class*=-BGC166] { + background-color: #D75F00 +} +div.highlight .-Color[class*=-C167] { + color: #D75F5F +} +div.highlight .-Color[class*=-BGC167] { + background-color: #D75F5F +} +div.highlight .-Color[class*=-C168] { + color: #D75F87 +} +div.highlight .-Color[class*=-BGC168] { + background-color: #D75F87 +} +div.highlight .-Color[class*=-C169] { + color: #D75FAF +} +div.highlight .-Color[class*=-BGC169] { + background-color: #D75FAF +} +div.highlight .-Color[class*=-C170] { + color: #D75FD7 +} +div.highlight .-Color[class*=-BGC170] { + background-color: #D75FD7 +} +div.highlight .-Color[class*=-C171] { + color: #D75FFF +} +div.highlight .-Color[class*=-BGC171] { + background-color: #D75FFF +} +div.highlight .-Color[class*=-C172] { + color: #D78700 +} +div.highlight .-Color[class*=-BGC172] { + background-color: #D78700 +} +div.highlight .-Color[class*=-C173] { + color: #D7875F +} +div.highlight .-Color[class*=-BGC173] { + background-color: #D7875F +} +div.highlight .-Color[class*=-C174] { + color: #D78787 +} +div.highlight .-Color[class*=-BGC174] { + background-color: #D78787 +} +div.highlight .-Color[class*=-C175] { + color: #D787AF +} +div.highlight .-Color[class*=-BGC175] { + background-color: #D787AF +} +div.highlight .-Color[class*=-C176] { + color: #D787D7 +} +div.highlight .-Color[class*=-BGC176] { + background-color: #D787D7 +} +div.highlight .-Color[class*=-C177] { + color: #D787FF +} +div.highlight .-Color[class*=-BGC177] { + background-color: #D787FF +} +div.highlight .-Color[class*=-C178] { + color: #D7AF00 +} +div.highlight .-Color[class*=-BGC178] { + background-color: #D7AF00 +} +div.highlight .-Color[class*=-C179] { + color: #D7AF5F +} +div.highlight .-Color[class*=-BGC179] { + background-color: #D7AF5F +} +div.highlight .-Color[class*=-C180] { + color: #D7AF87 +} +div.highlight .-Color[class*=-BGC180] { + background-color: #D7AF87 +} +div.highlight .-Color[class*=-C181] { + color: #D7AFAF +} +div.highlight .-Color[class*=-BGC181] { + background-color: #D7AFAF +} +div.highlight .-Color[class*=-C182] { + color: #D7AFD7 +} +div.highlight .-Color[class*=-BGC182] { + background-color: #D7AFD7 +} +div.highlight .-Color[class*=-C183] { + color: #D7AFFF +} +div.highlight .-Color[class*=-BGC183] { + background-color: #D7AFFF +} +div.highlight .-Color[class*=-C184] { + color: #D7D700 +} +div.highlight .-Color[class*=-BGC184] { + background-color: #D7D700 +} +div.highlight .-Color[class*=-C185] { + color: #D7D75F +} +div.highlight .-Color[class*=-BGC185] { + background-color: #D7D75F +} +div.highlight .-Color[class*=-C186] { + color: #D7D787 +} +div.highlight .-Color[class*=-BGC186] { + background-color: #D7D787 +} +div.highlight .-Color[class*=-C187] { + color: #D7D7AF +} +div.highlight .-Color[class*=-BGC187] { + background-color: #D7D7AF +} +div.highlight .-Color[class*=-C188] { + color: #D7D7D7 +} +div.highlight .-Color[class*=-BGC188] { + background-color: #D7D7D7 +} +div.highlight .-Color[class*=-C189] { + color: #D7D7FF +} +div.highlight .-Color[class*=-BGC189] { + background-color: #D7D7FF +} +div.highlight .-Color[class*=-C190] { + color: #D7FF00 +} +div.highlight .-Color[class*=-BGC190] { + background-color: #D7FF00 +} +div.highlight .-Color[class*=-C191] { + color: #D7FF5F +} +div.highlight .-Color[class*=-BGC191] { + background-color: #D7FF5F +} +div.highlight .-Color[class*=-C192] { + color: #D7FF87 +} +div.highlight .-Color[class*=-BGC192] { + background-color: #D7FF87 +} +div.highlight .-Color[class*=-C193] { + color: #D7FFAF +} +div.highlight .-Color[class*=-BGC193] { + background-color: #D7FFAF +} +div.highlight .-Color[class*=-C194] { + color: #D7FFD7 +} +div.highlight .-Color[class*=-BGC194] { + background-color: #D7FFD7 +} +div.highlight .-Color[class*=-C195] { + color: #D7FFFF +} +div.highlight .-Color[class*=-BGC195] { + background-color: #D7FFFF +} +div.highlight .-Color[class*=-C196] { + color: #FF0000 +} +div.highlight .-Color[class*=-BGC196] { + background-color: #FF0000 +} +div.highlight .-Color[class*=-C197] { + color: #FF005F +} +div.highlight .-Color[class*=-BGC197] { + background-color: #FF005F +} +div.highlight .-Color[class*=-C198] { + color: #FF0087 +} +div.highlight .-Color[class*=-BGC198] { + background-color: #FF0087 +} +div.highlight .-Color[class*=-C199] { + color: #FF00AF +} +div.highlight .-Color[class*=-BGC199] { + background-color: #FF00AF +} +div.highlight .-Color[class*=-C200] { + color: #FF00D7 +} +div.highlight .-Color[class*=-BGC200] { + background-color: #FF00D7 +} +div.highlight .-Color[class*=-C201] { + color: #FF00FF +} +div.highlight .-Color[class*=-BGC201] { + background-color: #FF00FF +} +div.highlight .-Color[class*=-C202] { + color: #FF5F00 +} +div.highlight .-Color[class*=-BGC202] { + background-color: #FF5F00 +} +div.highlight .-Color[class*=-C203] { + color: #FF5F5F +} +div.highlight .-Color[class*=-BGC203] { + background-color: #FF5F5F +} +div.highlight .-Color[class*=-C204] { + color: #FF5F87 +} +div.highlight .-Color[class*=-BGC204] { + background-color: #FF5F87 +} +div.highlight .-Color[class*=-C205] { + color: #FF5FAF +} +div.highlight .-Color[class*=-BGC205] { + background-color: #FF5FAF +} +div.highlight .-Color[class*=-C206] { + color: #FF5FD7 +} +div.highlight .-Color[class*=-BGC206] { + background-color: #FF5FD7 +} +div.highlight .-Color[class*=-C207] { + color: #FF5FFF +} +div.highlight .-Color[class*=-BGC207] { + background-color: #FF5FFF +} +div.highlight .-Color[class*=-C208] { + color: #FF8700 +} +div.highlight .-Color[class*=-BGC208] { + background-color: #FF8700 +} +div.highlight .-Color[class*=-C209] { + color: #FF875F +} +div.highlight .-Color[class*=-BGC209] { + background-color: #FF875F +} +div.highlight .-Color[class*=-C210] { + color: #FF8787 +} +div.highlight .-Color[class*=-BGC210] { + background-color: #FF8787 +} +div.highlight .-Color[class*=-C211] { + color: #FF87AF +} +div.highlight .-Color[class*=-BGC211] { + background-color: #FF87AF +} +div.highlight .-Color[class*=-C212] { + color: #FF87D7 +} +div.highlight .-Color[class*=-BGC212] { + background-color: #FF87D7 +} +div.highlight .-Color[class*=-C213] { + color: #FF87FF +} +div.highlight .-Color[class*=-BGC213] { + background-color: #FF87FF +} +div.highlight .-Color[class*=-C214] { + color: #FFAF00 +} +div.highlight .-Color[class*=-BGC214] { + background-color: #FFAF00 +} +div.highlight .-Color[class*=-C215] { + color: #FFAF5F +} +div.highlight .-Color[class*=-BGC215] { + background-color: #FFAF5F +} +div.highlight .-Color[class*=-C216] { + color: #FFAF87 +} +div.highlight .-Color[class*=-BGC216] { + background-color: #FFAF87 +} +div.highlight .-Color[class*=-C217] { + color: #FFAFAF +} +div.highlight .-Color[class*=-BGC217] { + background-color: #FFAFAF +} +div.highlight .-Color[class*=-C218] { + color: #FFAFD7 +} +div.highlight .-Color[class*=-BGC218] { + background-color: #FFAFD7 +} +div.highlight .-Color[class*=-C219] { + color: #FFAFFF +} +div.highlight .-Color[class*=-BGC219] { + background-color: #FFAFFF +} +div.highlight .-Color[class*=-C220] { + color: #FFD700 +} +div.highlight .-Color[class*=-BGC220] { + background-color: #FFD700 +} +div.highlight .-Color[class*=-C221] { + color: #FFD75F +} +div.highlight .-Color[class*=-BGC221] { + background-color: #FFD75F +} +div.highlight .-Color[class*=-C222] { + color: #FFD787 +} +div.highlight .-Color[class*=-BGC222] { + background-color: #FFD787 +} +div.highlight .-Color[class*=-C223] { + color: #FFD7AF +} +div.highlight .-Color[class*=-BGC223] { + background-color: #FFD7AF +} +div.highlight .-Color[class*=-C224] { + color: #FFD7D7 +} +div.highlight .-Color[class*=-BGC224] { + background-color: #FFD7D7 +} +div.highlight .-Color[class*=-C225] { + color: #FFD7FF +} +div.highlight .-Color[class*=-BGC225] { + background-color: #FFD7FF +} +div.highlight .-Color[class*=-C226] { + color: #FFFF00 +} +div.highlight .-Color[class*=-BGC226] { + background-color: #FFFF00 +} +div.highlight .-Color[class*=-C227] { + color: #FFFF5F +} +div.highlight .-Color[class*=-BGC227] { + background-color: #FFFF5F +} +div.highlight .-Color[class*=-C228] { + color: #FFFF87 +} +div.highlight .-Color[class*=-BGC228] { + background-color: #FFFF87 +} +div.highlight .-Color[class*=-C229] { + color: #FFFFAF +} +div.highlight .-Color[class*=-BGC229] { + background-color: #FFFFAF +} +div.highlight .-Color[class*=-C230] { + color: #FFFFD7 +} +div.highlight .-Color[class*=-BGC230] { + background-color: #FFFFD7 +} +div.highlight .-Color[class*=-C231] { + color: #FFFFFF +} +div.highlight .-Color[class*=-BGC231] { + background-color: #FFFFFF +} +div.highlight .-Color[class*=-C232] { + color: #080808 +} +div.highlight .-Color[class*=-BGC232] { + background-color: #080808 +} +div.highlight .-Color[class*=-C233] { + color: #121212 +} +div.highlight .-Color[class*=-BGC233] { + background-color: #121212 +} +div.highlight .-Color[class*=-C234] { + color: #1C1C1C +} +div.highlight .-Color[class*=-BGC234] { + background-color: #1C1C1C +} +div.highlight .-Color[class*=-C235] { + color: #262626 +} +div.highlight .-Color[class*=-BGC235] { + background-color: #262626 +} +div.highlight .-Color[class*=-C236] { + color: #303030 +} +div.highlight .-Color[class*=-BGC236] { + background-color: #303030 +} +div.highlight .-Color[class*=-C237] { + color: #3A3A3A +} +div.highlight .-Color[class*=-BGC237] { + background-color: #3A3A3A +} +div.highlight .-Color[class*=-C238] { + color: #444444 +} +div.highlight .-Color[class*=-BGC238] { + background-color: #444444 +} +div.highlight .-Color[class*=-C239] { + color: #4E4E4E +} +div.highlight .-Color[class*=-BGC239] { + background-color: #4E4E4E +} +div.highlight .-Color[class*=-C240] { + color: #585858 +} +div.highlight .-Color[class*=-BGC240] { + background-color: #585858 +} +div.highlight .-Color[class*=-C241] { + color: #626262 +} +div.highlight .-Color[class*=-BGC241] { + background-color: #626262 +} +div.highlight .-Color[class*=-C242] { + color: #6C6C6C +} +div.highlight .-Color[class*=-BGC242] { + background-color: #6C6C6C +} +div.highlight .-Color[class*=-C243] { + color: #767676 +} +div.highlight .-Color[class*=-BGC243] { + background-color: #767676 +} +div.highlight .-Color[class*=-C244] { + color: #808080 +} +div.highlight .-Color[class*=-BGC244] { + background-color: #808080 +} +div.highlight .-Color[class*=-C245] { + color: #8A8A8A +} +div.highlight .-Color[class*=-BGC245] { + background-color: #8A8A8A +} +div.highlight .-Color[class*=-C246] { + color: #949494 +} +div.highlight .-Color[class*=-BGC246] { + background-color: #949494 +} +div.highlight .-Color[class*=-C247] { + color: #9E9E9E +} +div.highlight .-Color[class*=-BGC247] { + background-color: #9E9E9E +} +div.highlight .-Color[class*=-C248] { + color: #A8A8A8 +} +div.highlight .-Color[class*=-BGC248] { + background-color: #A8A8A8 +} +div.highlight .-Color[class*=-C249] { + color: #B2B2B2 +} +div.highlight .-Color[class*=-BGC249] { + background-color: #B2B2B2 +} +div.highlight .-Color[class*=-C250] { + color: #BCBCBC +} +div.highlight .-Color[class*=-BGC250] { + background-color: #BCBCBC +} +div.highlight .-Color[class*=-C251] { + color: #C6C6C6 +} +div.highlight .-Color[class*=-BGC251] { + background-color: #C6C6C6 +} +div.highlight .-Color[class*=-C252] { + color: #D0D0D0 +} +div.highlight .-Color[class*=-BGC252] { + background-color: #D0D0D0 +} +div.highlight .-Color[class*=-C253] { + color: #DADADA +} +div.highlight .-Color[class*=-BGC253] { + background-color: #DADADA +} +div.highlight .-Color[class*=-C254] { + color: #E4E4E4 +} +div.highlight .-Color[class*=-BGC254] { + background-color: #E4E4E4 +} +div.highlight .-Color[class*=-C255] { + color: #EEEEEE +} +div.highlight .-Color[class*=-BGC255] { + background-color: #EEEEEE +} diff --git a/doc/LectureNotes/_build/html/_static/searchtools.js b/doc/LectureNotes/_build/html/_static/searchtools.js index 58ff35c43..2d7785937 100644 --- a/doc/LectureNotes/_build/html/_static/searchtools.js +++ b/doc/LectureNotes/_build/html/_static/searchtools.js @@ -4,7 +4,7 @@ * * Sphinx JavaScript utilities for the full-text search. * - * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS. + * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ @@ -328,7 +328,9 @@ var Search = { var results = []; for (var prefix in objects) { - for (var name in objects[prefix]) { + for (var iMatch = 0; iMatch != objects[prefix].length; ++iMatch) { + var match = objects[prefix][iMatch]; + var name = match[4]; var fullname = (prefix ? prefix + '.' : '') + name; var fullnameLower = fullname.toLowerCase() if (fullnameLower.indexOf(object) > -1) { @@ -342,7 +344,6 @@ var Search = { } else if (parts[parts.length - 1].indexOf(object) > -1) { score += Scorer.objPartialMatch; } - var match = objects[prefix][name]; var objname = objnames[match[1]][2]; var title = titles[match[0]]; // If more than one term searched for, we require other words to be diff --git a/doc/LectureNotes/_build/html/_static/sphinx-book-theme.css b/doc/LectureNotes/_build/html/_static/sphinx-book-theme.css index b836961a1..13c614980 100644 --- a/doc/LectureNotes/_build/html/_static/sphinx-book-theme.css +++ b/doc/LectureNotes/_build/html/_static/sphinx-book-theme.css @@ -2,4 +2,4 @@ * BSD 3-Clause License * Copyright (c) 2020, EBP * All rights reserved. - */:root{--pst-font-size-base: none;--pst-color-primary: 87, 154, 202;--pst-color-admonition-note: var(--pst-color-primary);--pst-color-admonition-default: var(--pst-color-primary);--pst-color-info: 255, 193, 7;--pst-color-admonition-tip: var(--pst-color-info);--pst-color-admonition-hint: var(--pst-color-info);--pst-color-admonition-important: var(--pst-color-info);--pst-color-warning: 245, 162, 82;--pst-color-danger: 230, 101, 129;--pst-color-admonition-warning: var(--pst-color-danger);--pst-color-link: 0, 113, 188}body{padding-top:0px !important}body img{max-width:100%}code{font-size:87.5% !important}pre{border-radius:.4em}dt:target,span.highlighted{background-color:#fbe54e}main.bd-content{padding-top:3em !important;padding-bottom:0px !important}main.bd-content #main-content{padding-top:1.5em}main.bd-content #main-content a.headerlink{opacity:0;margin-left:.2em}main.bd-content #main-content a.headerlink:hover{background-color:transparent;color:rgba(var(--pst-color-link), 1);opacity:1 !important}main.bd-content #main-content a,main.bd-content #main-content a:visited{color:rgba(var(--pst-color-link), 1)}main.bd-content #main-content h1,main.bd-content #main-content h2,main.bd-content #main-content h3,main.bd-content #main-content h4,main.bd-content #main-content h5{color:black}main.bd-content #main-content h1:hover a.headerlink,main.bd-content #main-content h2:hover a.headerlink,main.bd-content #main-content h3:hover a.headerlink,main.bd-content #main-content h4:hover a.headerlink,main.bd-content #main-content h5:hover a.headerlink{opacity:.5}main.bd-content #main-content h1 a.toc-backref,main.bd-content #main-content h2 a.toc-backref,main.bd-content #main-content h3 a.toc-backref,main.bd-content #main-content h4 a.toc-backref,main.bd-content #main-content h5 a.toc-backref{color:inherit}main.bd-content #main-content>div>div>div.section,main.bd-content #main-content .prev-next-bottom{padding-right:1em}main.bd-content #main-content .prev-next-bottom{overflow:auto;margin-top:3em;margin-bottom:1em;padding:0}main.bd-content #main-content .prev-next-bottom .right-next,main.bd-content #main-content .prev-next-bottom .left-prev{border:none;display:flex;align-items:center}main.bd-content #main-content .prev-next-bottom .right-next .prevnext-info,main.bd-content #main-content .prev-next-bottom .left-prev .prevnext-info{flex-direction:column}main.bd-content #main-content .prev-next-bottom .right-next p,main.bd-content #main-content .prev-next-bottom .left-prev p{margin:0;line-height:1.3em}main.bd-content #main-content .prev-next-bottom .right-next .prevnext-label,main.bd-content #main-content .prev-next-bottom .left-prev .prevnext-label{color:#5a5a5a}main.bd-content #main-content .prev-next-bottom .right-next .prevnext-title,main.bd-content #main-content .prev-next-bottom .left-prev .prevnext-title{font-size:1.1em;color:rgba(var(--pst-color-link), 1);font-weight:500}main.bd-content #main-content .prev-next-bottom .right-next::after,main.bd-content #main-content .prev-next-bottom .left-prev::after{content:none}main.bd-content #main-content .prev-next-bottom .left-prev i{padding-right:.75rem}main.bd-content #main-content .prev-next-bottom .left-prev::before{content:none}main.bd-content #main-content .prev-next-bottom .right-next .prevnext-info{text-align:right}main.bd-content #main-content .prev-next-bottom .right-next i{padding-left:.75rem}main.bd-content #main-content div.section{overflow:visible !important}main.bd-content #main-content div.section ul p,main.bd-content #main-content div.section ol p{margin-bottom:0}main.bd-content #main-content span.eqno{position:absolute;right:.5em;top:50%;transform:translate(0, -50%);font-size:1.2em}main.bd-content #main-content div.math{overflow-x:auto;position:relative}main.bd-content #main-content p~div.math{margin-top:-1.15rem}main.bd-content #main-content img.align-center{margin-left:auto;margin-right:auto;display:block}main.bd-content #main-content img.align-left{clear:left;float:left;margin-right:1em}main.bd-content #main-content img.align-right{clear:right;float:right;margin-left:1em}main.bd-content #main-content div.figure{width:100%;margin-bottom:1em;text-align:center}main.bd-content #main-content div.figure.align-left{text-align:left}main.bd-content #main-content div.figure.align-left p.caption{margin-left:0}main.bd-content #main-content div.figure.align-right{text-align:right}main.bd-content #main-content div.figure.align-right p.caption{margin-right:0}main.bd-content #main-content div.figure p.caption{margin:.5em 10%}main.bd-content #main-content div.figure.margin p.caption,main.bd-content #main-content div.figure.margin-caption p.caption{margin:.5em 0}main.bd-content #main-content div.figure.margin-caption p.caption{text-align:left}main.bd-content #main-content div.figure span.caption-number{font-weight:bold}main.bd-content #main-content div.figure span{font-size:.9rem}main.bd-content #main-content div.contents{padding:1em}main.bd-content #main-content div.contents p.topic-title{font-size:1.5em;padding:.5em 0 0 1em}main.bd-content #main-content p.centered{text-align:center}main.bd-content #main-content div.sphinx-tabs>div.sphinx-menu{padding:0}main.bd-content #main-content div.sphinx-tabs>div.sphinx-menu>a.item{width:auto;margin:0px 0px -1px 0px}main.bd-content #main-content span.brackets:before,main.bd-content #main-content a.brackets:before{content:"["}main.bd-content #main-content span.brackets:after,main.bd-content #main-content a.brackets:after{content:"]"}main.bd-content #main-content .footnote-reference,main.bd-content #main-content a.bibtex.internal{font-size:1em}main.bd-content #main-content dl.simple dd,main.bd-content #main-content dl.field-list dd{margin-left:1.5em}main.bd-content #main-content dl.simple dd:not(:last-child),main.bd-content #main-content dl.field-list dd:not(:last-child){margin-bottom:0px}main.bd-content #main-content dl.simple dd:not(:last-child) p:last-child,main.bd-content #main-content dl.field-list dd:not(:last-child) p:last-child{margin-bottom:0px}main.bd-content #main-content dl.glossary dd{margin-left:1.5em}main.bd-content #main-content dl.footnote span.fn-backref{font-size:1em;padding-left:.1em}main.bd-content #main-content dl.footnote dd{font-size:.9em;margin-left:3em}main.bd-content #main-content dl.citation{margin-left:3em}main.bd-content #main-content dl.footnote dt.label{float:left}main.bd-content #main-content dl.footnote dd p{padding-left:1.5em}main.bd-content #main-content dl.module,main.bd-content #main-content dl.class,main.bd-content #main-content dl.exception,main.bd-content #main-content dl.function,main.bd-content #main-content dl.decorator,main.bd-content #main-content dl.data,main.bd-content #main-content dl.method,main.bd-content #main-content dl.attribute{margin-bottom:24px}main.bd-content #main-content dl.module dt,main.bd-content #main-content dl.class dt,main.bd-content #main-content dl.exception dt,main.bd-content #main-content dl.function dt,main.bd-content #main-content dl.decorator dt,main.bd-content #main-content dl.data dt,main.bd-content #main-content dl.method dt,main.bd-content #main-content dl.attribute dt{font-weight:bold}main.bd-content #main-content dl.module dt .headerlink,main.bd-content #main-content dl.class dt .headerlink,main.bd-content #main-content dl.exception dt .headerlink,main.bd-content #main-content dl.function dt .headerlink,main.bd-content #main-content dl.decorator dt .headerlink,main.bd-content #main-content dl.data dt .headerlink,main.bd-content #main-content dl.method dt .headerlink,main.bd-content #main-content dl.attribute dt .headerlink{display:inline-block;font:normal normal normal 14px/1 FontAwesome;font-size:inherit;text-rendering:auto;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale;font-family:inherit;visibility:hidden;font-size:14px}main.bd-content #main-content dl.module dt .headerlink:before,main.bd-content #main-content dl.class dt .headerlink:before,main.bd-content #main-content dl.exception dt .headerlink:before,main.bd-content #main-content dl.function dt .headerlink:before,main.bd-content #main-content dl.decorator dt .headerlink:before,main.bd-content #main-content dl.data dt .headerlink:before,main.bd-content #main-content dl.method dt .headerlink:before,main.bd-content #main-content dl.attribute dt .headerlink:before{-webkit-font-smoothing:antialiased;font-family:"FontAwesome";display:inline-block;font-style:normal;font-weight:normal;line-height:1;text-decoration:inherit}main.bd-content #main-content dl.module dt .headerlink:after,main.bd-content #main-content dl.class dt .headerlink:after,main.bd-content #main-content dl.exception dt .headerlink:after,main.bd-content #main-content dl.function dt .headerlink:after,main.bd-content #main-content dl.decorator dt .headerlink:after,main.bd-content #main-content dl.data dt .headerlink:after,main.bd-content #main-content dl.method dt .headerlink:after,main.bd-content #main-content dl.attribute dt .headerlink:after{content:"";font-family:FontAwesome}main.bd-content #main-content dl.module dt .fa-pull-left.headerlink,main.bd-content #main-content dl.class dt .fa-pull-left.headerlink,main.bd-content #main-content dl.exception dt .fa-pull-left.headerlink,main.bd-content #main-content dl.function dt .fa-pull-left.headerlink,main.bd-content #main-content dl.decorator dt .fa-pull-left.headerlink,main.bd-content #main-content dl.data dt .fa-pull-left.headerlink,main.bd-content #main-content dl.method dt .fa-pull-left.headerlink,main.bd-content #main-content dl.attribute dt .fa-pull-left.headerlink{margin-right:.3em}main.bd-content #main-content dl.module dt .fa-pull-right.headerlink,main.bd-content #main-content dl.class dt .fa-pull-right.headerlink,main.bd-content #main-content dl.exception dt .fa-pull-right.headerlink,main.bd-content #main-content dl.function dt .fa-pull-right.headerlink,main.bd-content #main-content dl.decorator dt .fa-pull-right.headerlink,main.bd-content #main-content dl.data dt .fa-pull-right.headerlink,main.bd-content #main-content dl.method dt .fa-pull-right.headerlink,main.bd-content #main-content dl.attribute dt .fa-pull-right.headerlink{margin-left:.3em}main.bd-content #main-content dl.module dt .pull-left.headerlink,main.bd-content #main-content dl.class dt .pull-left.headerlink,main.bd-content #main-content dl.exception dt .pull-left.headerlink,main.bd-content #main-content dl.function dt .pull-left.headerlink,main.bd-content #main-content dl.decorator dt .pull-left.headerlink,main.bd-content #main-content dl.data dt .pull-left.headerlink,main.bd-content #main-content dl.method dt .pull-left.headerlink,main.bd-content #main-content dl.attribute dt .pull-left.headerlink{margin-right:.3em}main.bd-content #main-content dl.module dt .pull-right.headerlink,main.bd-content #main-content dl.class dt .pull-right.headerlink,main.bd-content #main-content dl.exception dt .pull-right.headerlink,main.bd-content #main-content dl.function dt .pull-right.headerlink,main.bd-content #main-content dl.decorator dt .pull-right.headerlink,main.bd-content #main-content dl.data dt .pull-right.headerlink,main.bd-content #main-content dl.method dt .pull-right.headerlink,main.bd-content #main-content dl.attribute dt .pull-right.headerlink{margin-left:.3em}main.bd-content #main-content dl.module dt a .headerlink,main.bd-content #main-content dl.class dt a .headerlink,main.bd-content #main-content dl.exception dt a .headerlink,main.bd-content #main-content dl.function dt a .headerlink,main.bd-content #main-content dl.decorator dt a .headerlink,main.bd-content #main-content dl.data dt a .headerlink,main.bd-content #main-content dl.method dt a .headerlink,main.bd-content #main-content dl.attribute dt a .headerlink{display:inline-block;text-decoration:inherit}main.bd-content #main-content dl.module dt .btn .headerlink,main.bd-content #main-content dl.class dt .btn .headerlink,main.bd-content #main-content dl.exception dt .btn .headerlink,main.bd-content #main-content dl.function dt .btn .headerlink,main.bd-content #main-content dl.decorator dt .btn .headerlink,main.bd-content #main-content dl.data dt .btn .headerlink,main.bd-content #main-content dl.method dt .btn .headerlink,main.bd-content #main-content dl.attribute dt .btn .headerlink{display:inline}main.bd-content #main-content dl.module dt .btn .fa-large.headerlink,main.bd-content #main-content dl.class dt .btn .fa-large.headerlink,main.bd-content #main-content dl.exception dt .btn .fa-large.headerlink,main.bd-content #main-content dl.function dt .btn .fa-large.headerlink,main.bd-content #main-content dl.decorator dt .btn .fa-large.headerlink,main.bd-content #main-content dl.data dt .btn .fa-large.headerlink,main.bd-content #main-content dl.method dt .btn .fa-large.headerlink,main.bd-content #main-content dl.attribute dt .btn .fa-large.headerlink{line-height:.9em}main.bd-content #main-content dl.module dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.class dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.exception dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.function dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.decorator dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.data dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.method dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.attribute dt .btn .fa-spin.headerlink{display:inline-block}main.bd-content #main-content dl.module dt .nav .headerlink,main.bd-content #main-content dl.class dt .nav .headerlink,main.bd-content #main-content dl.exception dt .nav .headerlink,main.bd-content #main-content dl.function dt .nav .headerlink,main.bd-content #main-content dl.decorator dt .nav .headerlink,main.bd-content #main-content dl.data dt .nav .headerlink,main.bd-content #main-content dl.method dt .nav .headerlink,main.bd-content #main-content dl.attribute dt .nav .headerlink{display:inline}main.bd-content #main-content dl.module dt .nav .fa-large.headerlink,main.bd-content #main-content dl.class dt .nav .fa-large.headerlink,main.bd-content #main-content dl.exception dt .nav .fa-large.headerlink,main.bd-content #main-content dl.function dt .nav .fa-large.headerlink,main.bd-content #main-content dl.decorator dt .nav .fa-large.headerlink,main.bd-content #main-content dl.data dt .nav .fa-large.headerlink,main.bd-content #main-content dl.method dt .nav .fa-large.headerlink,main.bd-content #main-content dl.attribute dt .nav .fa-large.headerlink{line-height:.9em}main.bd-content #main-content dl.module dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.class dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.exception dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.function dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.decorator dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.data dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.method dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.attribute dt .nav .fa-spin.headerlink{display:inline-block}main.bd-content #main-content dl.module dt .btn.headerlink:before,main.bd-content #main-content dl.class dt .btn.headerlink:before,main.bd-content #main-content dl.exception dt .btn.headerlink:before,main.bd-content #main-content dl.function dt .btn.headerlink:before,main.bd-content #main-content dl.decorator dt .btn.headerlink:before,main.bd-content #main-content dl.data dt .btn.headerlink:before,main.bd-content #main-content dl.method dt .btn.headerlink:before,main.bd-content #main-content dl.attribute dt .btn.headerlink:before{opacity:.5;-webkit-transition:opacity .05s ease-in;-moz-transition:opacity .05s ease-in;transition:opacity .05s ease-in}main.bd-content #main-content dl.module dt .btn.headerlink:hover:before,main.bd-content #main-content dl.class dt .btn.headerlink:hover:before,main.bd-content #main-content dl.exception dt .btn.headerlink:hover:before,main.bd-content #main-content dl.function dt .btn.headerlink:hover:before,main.bd-content #main-content dl.decorator dt .btn.headerlink:hover:before,main.bd-content #main-content dl.data dt .btn.headerlink:hover:before,main.bd-content #main-content dl.method dt .btn.headerlink:hover:before,main.bd-content #main-content dl.attribute dt .btn.headerlink:hover:before{opacity:1}main.bd-content #main-content dl.module dt .btn-mini .headerlink:before,main.bd-content #main-content dl.class dt .btn-mini .headerlink:before,main.bd-content #main-content dl.exception dt .btn-mini .headerlink:before,main.bd-content #main-content dl.function dt .btn-mini .headerlink:before,main.bd-content #main-content dl.decorator dt .btn-mini .headerlink:before,main.bd-content #main-content dl.data dt .btn-mini .headerlink:before,main.bd-content #main-content dl.method dt .btn-mini .headerlink:before,main.bd-content #main-content dl.attribute dt .btn-mini .headerlink:before{font-size:14px;vertical-align:-15%}main.bd-content #main-content dl.module dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.class dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.exception dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.function dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.decorator dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.data dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.method dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.attribute dt .rst-versions .rst-current-version .headerlink{color:#fcfcfc}main.bd-content #main-content dl.module dt:hover .headerlink:after,main.bd-content #main-content dl.class dt:hover .headerlink:after,main.bd-content #main-content dl.exception dt:hover .headerlink:after,main.bd-content #main-content dl.function dt:hover .headerlink:after,main.bd-content #main-content dl.decorator dt:hover .headerlink:after,main.bd-content #main-content dl.data dt:hover .headerlink:after,main.bd-content #main-content dl.method dt:hover .headerlink:after,main.bd-content #main-content dl.attribute dt:hover .headerlink:after{visibility:visible}main.bd-content #main-content dl.module p,main.bd-content #main-content dl.class p,main.bd-content #main-content dl.exception p,main.bd-content #main-content dl.function p,main.bd-content #main-content dl.decorator p,main.bd-content #main-content dl.data p,main.bd-content #main-content dl.method p,main.bd-content #main-content dl.attribute p{margin-bottom:12px !important}main.bd-content #main-content dl.module table,main.bd-content #main-content dl.class table,main.bd-content #main-content dl.exception table,main.bd-content #main-content dl.function table,main.bd-content #main-content dl.decorator table,main.bd-content #main-content dl.data table,main.bd-content #main-content dl.method table,main.bd-content #main-content dl.attribute table{margin-bottom:12px !important}main.bd-content #main-content dl.module ul,main.bd-content #main-content dl.class ul,main.bd-content #main-content dl.exception ul,main.bd-content #main-content dl.function ul,main.bd-content #main-content dl.decorator ul,main.bd-content #main-content dl.data ul,main.bd-content #main-content dl.method ul,main.bd-content #main-content dl.attribute ul{margin-bottom:12px !important}main.bd-content #main-content dl.module ol,main.bd-content #main-content dl.class ol,main.bd-content #main-content dl.exception ol,main.bd-content #main-content dl.function ol,main.bd-content #main-content dl.decorator ol,main.bd-content #main-content dl.data ol,main.bd-content #main-content dl.method ol,main.bd-content #main-content dl.attribute ol{margin-bottom:12px !important}main.bd-content #main-content dl.module dd,main.bd-content #main-content dl.class dd,main.bd-content #main-content dl.exception dd,main.bd-content #main-content dl.function dd,main.bd-content #main-content dl.decorator dd,main.bd-content #main-content dl.data dd,main.bd-content #main-content dl.method dd,main.bd-content #main-content dl.attribute dd{margin:0 0 12px 24px}main.bd-content #main-content dl.module:not(.docutils),main.bd-content #main-content dl.class:not(.docutils),main.bd-content #main-content dl.exception:not(.docutils),main.bd-content #main-content dl.function:not(.docutils),main.bd-content #main-content dl.decorator:not(.docutils),main.bd-content #main-content dl.data:not(.docutils),main.bd-content #main-content dl.method:not(.docutils),main.bd-content #main-content dl.attribute:not(.docutils){margin-bottom:24px}main.bd-content #main-content dl.module:not(.docutils) dt,main.bd-content #main-content dl.class:not(.docutils) dt,main.bd-content #main-content dl.exception:not(.docutils) dt,main.bd-content #main-content dl.function:not(.docutils) dt,main.bd-content #main-content dl.decorator:not(.docutils) dt,main.bd-content #main-content dl.data:not(.docutils) dt,main.bd-content #main-content dl.method:not(.docutils) dt,main.bd-content #main-content dl.attribute:not(.docutils) dt{display:table;margin:6px 0;font-size:90%;line-height:normal;background:#e7f2fa;color:#2980B9;border-top:solid 3px #6ab0de;padding:6px;position:relative}main.bd-content #main-content dl.module:not(.docutils) dt:before,main.bd-content #main-content dl.class:not(.docutils) dt:before,main.bd-content #main-content dl.exception:not(.docutils) dt:before,main.bd-content #main-content dl.function:not(.docutils) dt:before,main.bd-content #main-content dl.decorator:not(.docutils) dt:before,main.bd-content #main-content dl.data:not(.docutils) dt:before,main.bd-content #main-content dl.method:not(.docutils) dt:before,main.bd-content #main-content dl.attribute:not(.docutils) dt:before{color:#6ab0de}main.bd-content #main-content dl.module:not(.docutils) dt .headerlink,main.bd-content #main-content dl.class:not(.docutils) dt .headerlink,main.bd-content #main-content dl.exception:not(.docutils) dt .headerlink,main.bd-content #main-content dl.function:not(.docutils) dt .headerlink,main.bd-content #main-content dl.decorator:not(.docutils) dt .headerlink,main.bd-content #main-content dl.data:not(.docutils) dt .headerlink,main.bd-content #main-content dl.method:not(.docutils) dt .headerlink,main.bd-content #main-content dl.attribute:not(.docutils) dt .headerlink{color:#404040;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) dt:first-child,main.bd-content #main-content dl.class:not(.docutils) dt:first-child,main.bd-content #main-content dl.exception:not(.docutils) dt:first-child,main.bd-content #main-content dl.function:not(.docutils) dt:first-child,main.bd-content #main-content dl.decorator:not(.docutils) dt:first-child,main.bd-content #main-content dl.data:not(.docutils) dt:first-child,main.bd-content #main-content dl.method:not(.docutils) dt:first-child,main.bd-content #main-content dl.attribute:not(.docutils) dt:first-child{margin-top:0}main.bd-content #main-content dl.module:not(.docutils) dl dt,main.bd-content #main-content dl.class:not(.docutils) dl dt,main.bd-content #main-content dl.exception:not(.docutils) dl dt,main.bd-content #main-content dl.function:not(.docutils) dl dt,main.bd-content #main-content dl.decorator:not(.docutils) dl dt,main.bd-content #main-content dl.data:not(.docutils) dl dt,main.bd-content #main-content dl.method:not(.docutils) dl dt,main.bd-content #main-content dl.attribute:not(.docutils) dl dt{margin-bottom:6px;border:none;border-left:solid 3px #ccc;background:#f0f0f0;color:#555}main.bd-content #main-content dl.module:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.class:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.exception:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.function:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.decorator:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.data:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.method:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.attribute:not(.docutils) dl dt .headerlink{color:#404040;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) tt,main.bd-content #main-content dl.class:not(.docutils) tt,main.bd-content #main-content dl.exception:not(.docutils) tt,main.bd-content #main-content dl.function:not(.docutils) tt,main.bd-content #main-content dl.decorator:not(.docutils) tt,main.bd-content #main-content dl.data:not(.docutils) tt,main.bd-content #main-content dl.method:not(.docutils) tt,main.bd-content #main-content dl.attribute:not(.docutils) tt{font-weight:bold;font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) code,main.bd-content #main-content dl.class:not(.docutils) code,main.bd-content #main-content dl.exception:not(.docutils) code,main.bd-content #main-content dl.function:not(.docutils) code,main.bd-content #main-content dl.decorator:not(.docutils) code,main.bd-content #main-content dl.data:not(.docutils) code,main.bd-content #main-content dl.method:not(.docutils) code,main.bd-content #main-content dl.attribute:not(.docutils) code{font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) tt.descname,main.bd-content #main-content dl.class:not(.docutils) tt.descname,main.bd-content #main-content dl.exception:not(.docutils) tt.descname,main.bd-content #main-content dl.function:not(.docutils) tt.descname,main.bd-content #main-content dl.decorator:not(.docutils) tt.descname,main.bd-content #main-content dl.data:not(.docutils) tt.descname,main.bd-content #main-content dl.method:not(.docutils) tt.descname,main.bd-content #main-content dl.attribute:not(.docutils) tt.descname{background-color:transparent;background-color:transparent;border:none;border:none;padding:0;padding:0;font-size:100% !important;font-size:100% !important;font-weight:bold;font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) tt.descclassname,main.bd-content #main-content dl.class:not(.docutils) tt.descclassname,main.bd-content #main-content dl.exception:not(.docutils) tt.descclassname,main.bd-content #main-content dl.function:not(.docutils) tt.descclassname,main.bd-content #main-content dl.decorator:not(.docutils) tt.descclassname,main.bd-content #main-content dl.data:not(.docutils) tt.descclassname,main.bd-content #main-content dl.method:not(.docutils) tt.descclassname,main.bd-content #main-content dl.attribute:not(.docutils) tt.descclassname{background-color:transparent;background-color:transparent;border:none;border:none;padding:0;padding:0;font-size:100% !important;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) code.descname,main.bd-content #main-content dl.class:not(.docutils) code.descname,main.bd-content #main-content dl.exception:not(.docutils) code.descname,main.bd-content #main-content dl.function:not(.docutils) code.descname,main.bd-content #main-content dl.decorator:not(.docutils) code.descname,main.bd-content #main-content dl.data:not(.docutils) code.descname,main.bd-content #main-content dl.method:not(.docutils) code.descname,main.bd-content #main-content dl.attribute:not(.docutils) code.descname{background-color:transparent;border:none;padding:0;font-size:100% !important;font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) code.descclassname,main.bd-content #main-content dl.class:not(.docutils) code.descclassname,main.bd-content #main-content dl.exception:not(.docutils) code.descclassname,main.bd-content #main-content dl.function:not(.docutils) code.descclassname,main.bd-content #main-content dl.decorator:not(.docutils) code.descclassname,main.bd-content #main-content dl.data:not(.docutils) code.descclassname,main.bd-content #main-content dl.method:not(.docutils) code.descclassname,main.bd-content #main-content dl.attribute:not(.docutils) code.descclassname{background-color:transparent;border:none;padding:0;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) .optional,main.bd-content #main-content dl.class:not(.docutils) .optional,main.bd-content #main-content dl.exception:not(.docutils) .optional,main.bd-content #main-content dl.function:not(.docutils) .optional,main.bd-content #main-content dl.decorator:not(.docutils) .optional,main.bd-content #main-content dl.data:not(.docutils) .optional,main.bd-content #main-content dl.method:not(.docutils) .optional,main.bd-content #main-content dl.attribute:not(.docutils) .optional{display:inline-block;padding:0 4px;color:#000;font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) .property,main.bd-content #main-content dl.class:not(.docutils) .property,main.bd-content #main-content dl.exception:not(.docutils) .property,main.bd-content #main-content dl.function:not(.docutils) .property,main.bd-content #main-content dl.decorator:not(.docutils) .property,main.bd-content #main-content dl.data:not(.docutils) .property,main.bd-content #main-content dl.method:not(.docutils) .property,main.bd-content #main-content dl.attribute:not(.docutils) .property{display:inline-block;padding-right:8px}main.bd-content #main-content dl.module .viewcode-link,main.bd-content #main-content dl.class .viewcode-link,main.bd-content #main-content dl.exception .viewcode-link,main.bd-content #main-content dl.function .viewcode-link,main.bd-content #main-content dl.decorator .viewcode-link,main.bd-content #main-content dl.data .viewcode-link,main.bd-content #main-content dl.method .viewcode-link,main.bd-content #main-content dl.attribute .viewcode-link{display:inline-block;color:#27AE60;font-size:80%;padding-left:24px}div.cell div.cell_output{padding-right:0}div.cell.tag_output_scroll div.cell_output,div.cell.tag_scroll-output div.cell_output{max-height:24em;overflow-y:auto}div.cell.tag_scroll-input div.cell_input{max-height:24em;overflow-y:auto}.highlighttable .linenos{vertical-align:baseline}.toggle.admonition button.toggle-button{top:0.5em !important}.admonition{border-radius:.4em;box-shadow:0 0.2rem 0.5rem rgba(0,0,0,0.05),0 0 0.0625rem rgba(0,0,0,0.1)}.admonition.seealso{border-color:#28a745}.admonition.seealso .admonition-title{background-color:rgba(40,167,70,0.1)}.admonition.seealso .admonition-title:before{color:#28a745;content:"\f064"}button.toggle-button-hidden:before{bottom:0.2em !important}div.sidebar,div.margin,div.margin-caption p.caption,.cell.tag_popout,.cell.tag_margin{width:40%;float:right;border-left:1px #a4a6a7 solid;margin-left:0.5em;padding:.2em 0 .2em 1em}div.sidebar p,div.margin p,div.margin-caption p.caption p,.cell.tag_popout p,.cell.tag_margin p{margin-bottom:0}div.sidebar p.sidebar-title,div.margin p.sidebar-title,div.margin-caption p.caption p.sidebar-title,.cell.tag_popout p.sidebar-title,.cell.tag_margin p.sidebar-title{font-weight:bold;font-size:1.2em}@media (min-width: 768px){div.cell.tag_popout,div.cell.tag_margin,div.margin,div.margin-caption p.caption{border:none;clear:right;width:31% !important;margin:0 -35% 0 0 !important;padding:0 !important;font-size:0.9rem;line-height:1.3;vertical-align:baseline;position:relative}div.cell.tag_popout p,div.cell.tag_margin p,div.margin p,div.margin-caption p.caption p{margin-bottom:.5em}div.cell.tag_popout p.sidebar-title,div.cell.tag_margin p.sidebar-title,div.margin p.sidebar-title,div.margin-caption p.caption p.sidebar-title{font-size:1em}div.cell.tag_margin .cell_output{padding-left:0}div.sidebar:not(.margin){width:60%;margin-left:1.5em;margin-right:-28%}}@media (min-width: 768px){div.cell.tag_full-width,div.cell.tag_full_width,div.full_width,div.full-width{width:134% !important}}blockquote{margin:1em;padding:.2em 1.5em;border-left:4px solid #ccc}blockquote.pull-quote,blockquote.epigraph,blockquote.highlights{font-size:1.25em;border-left:none}blockquote div>p{margin-bottom:.5em}blockquote div>p+p.attribution{font-style:normal;font-size:.9em;text-align:right;color:#6c757d;padding-right:2em}div.highlight{background:none;margin-bottom:1em}div.cell div.highlight{margin-bottom:0em}.thebelab-cell{border:none !important;margin-right:.5em !important}.thebelab-cell .thebelab-input{padding-left:10px !important}.cell.docutils.container{padding-right:0px !important}button.thebe-launch-button{height:2.5em;font-size:1em}div.tableofcontents-wrapper p.caption{font-weight:600 !important;margin-bottom:0em !important}.cm-s-default{font-family:var(--jp-code-font-family);font-size:var(--jp-code-font-size);line-height:var(--jp-code-line-height)}.CodeMirror-focused{background-color:var(--jp-cell-editor-active-background) !important;border:var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);margin:-1px}.topbar,.topbar-contents,.topbar-main{height:3em}.topbar{background-color:white;transition:left .2s}.scrolled .topbar{box-shadow:0 6px 6px -6px rgba(0,0,0,0.3)}.topbar .topbar-main{padding-top:0.25rem;padding-bottom:0.25rem;padding-right:0}.topbar .topbar-main>button,.topbar .topbar-main>div,.topbar .topbar-main>a{float:left;height:100%}.topbar .topbar-main button.topbarbtn{margin:0 .1em;background-color:white;color:#5a5a5a;border:none;padding-top:.1rem;padding-bottom:.1rem;font-size:1.4em}.topbar .topbar-main button.topbarbtn i.fab{vertical-align:baseline;line-height:1}.topbar .topbar-main div.dropdown-buttons-trigger,.topbar .topbar-main a.edit-button,.topbar .topbar-main a.full-screen-button{float:right}.bd-topbar-whitespace{width:275px;flex:auto;transition:flex 0.2s ease 0s}@media (max-width: 768px){.bd-topbar-whitespace{border-bottom:1px solid transparent}.bd-topbar-whitespace.show,.bd-topbar-whitespace.collapsing,body.scrolled .bd-topbar-whitespace{border-color:rgba(0,0,0,0.1);position:absolute;bottom:0;width:100%;display:block}}span.topbar-button-text{margin-left:0.4em}@media (max-width: 768px){span.topbar-button-text{display:none}}div.dropdown-buttons-trigger div.dropdown-buttons{display:none;position:absolute;max-width:130px;margin-top:.2em;z-index:1000;transform:translate(-60%)}div.dropdown-buttons-trigger div.dropdown-buttons.sourcebuttons .topbarbtn i{padding-right:6px;margin-left:-5px;font-size:.9em !important}div.dropdown-buttons-trigger div.dropdown-buttons button.topbarbtn{padding-top:.35rem;padding-bottom:.35rem;min-width:120px !important;border:1px white solid !important;background-color:#5a5a5a;color:white;font-size:1em}div.dropdown-buttons-trigger:hover div.dropdown-buttons{display:block}a.dropdown-buttons i{margin-right:.5em}button.topbarbtn img{height:1.15em;padding-right:6px;margin-left:-5px}#navbar-toggler{position:relative;margin-right:1em;margin-left:.5em;color:#5a5a5a}#navbar-toggler i{transition:opacity .3s, transform .3s;position:absolute;top:16%;left:0;display:block;font-size:1.2em}#navbar-toggler i.fa-bars{opacity:0;transform:rotate(180deg) scale(0.5)}#navbar-toggler i.fa-arrow-left,#navbar-toggler i.fa-arrow-up{opacity:1}#navbar-toggler.collapsed i.fa-bars{opacity:1;transform:rotate(0) scale(1)}#navbar-toggler.collapsed i.fa-arrow-left,#navbar-toggler.collapsed i.fa-arrow-up{opacity:0;transform:rotate(-180deg) scale(0.5)}@media (max-width: 768px){#navbar-toggler i.fa-arrow-up{display:none}}@media (min-width: 768px){#navbar-toggler i.fa-arrow-up{display:none}#navbar-toggler i.fa-arrow-left{display:inherit}}@media (min-width: 768px){.bd-topbar-whitespace{max-width:275px}}.bd-toc{padding:0px !important;right:-1em;z-index:999;height:auto}.bd-toc div.onthispage,.bd-toc .toc-entry a{color:#5a5a5a}.bd-toc nav{opacity:0;max-height:0;transition:opacity 0.2s ease, max-height .7s ease;overflow-y:hidden;background:white;scrollbar-width:thin}.bd-toc nav::-webkit-scrollbar{width:5px}.bd-toc nav::-webkit-scrollbar{background:#f1f1f1}.bd-toc nav::-webkit-scrollbar-thumb{background:#c1c1c1}.bd-toc nav::-webkit-scrollbar-thumb:hover{background:#a0a0a0}@media (min-width: 992px){.bd-toc nav:not(:hover){-ms-overflow-style:none}.bd-toc nav:not(:hover)::-webkit-scrollbar{background:#FFFFFF}.bd-toc nav:not(:hover)::-webkit-scrollbar-thumb{background:#FFFFFF}}.bd-toc nav a:hover,.bd-toc nav li.active>a.active{color:rgba(var(--pst-color-link), 1)}.bd-toc nav li.active>a.active{border-left:2px solid rgba(var(--pst-color-link), 1)}.bd-toc nav>.nav{border-left:1px solid #eee}.bd-toc nav>.nav .nav{border-left:none}.bd-toc:hover nav,.bd-toc.show nav{max-height:90vh;opacity:1;overflow-y:auto}.bd-toc:hover .tocsection:after,.bd-toc.show .tocsection:after{opacity:0}.bd-toc .tocsection{padding:.5rem 0 .5rem 1rem !important}.bd-toc .tocsection:after{content:"\f107";font-family:"Font Awesome 5 Free";font-weight:900;padding-left:.5em;transition:opacity .3s ease}.bd-toc .toc-entry a{padding:.125rem 1rem !important}.bd-toc div.editthispage{display:none}#site-navigation{height:100vh !important;width:275px;flex:auto;top:0px !important;margin-left:0;overflow-y:auto;background:white;transition:margin-left .2s ease 0s, opacity .2s ease 0s, visibility .2s ease 0s;z-index:2000 !important;scrollbar-width:thin}#site-navigation.collapse{visibility:hidden;margin-left:-275px;opacity:0;display:block}#site-navigation.collapse.show{visibility:visible;margin-left:0;opacity:1}#site-navigation::-webkit-scrollbar{width:5px}#site-navigation::-webkit-scrollbar{background:#f1f1f1}#site-navigation::-webkit-scrollbar-thumb{background:#c1c1c1}#site-navigation::-webkit-scrollbar-thumb:hover{background:#a0a0a0}@media (min-width: 992px){#site-navigation:not(:hover){-ms-overflow-style:none}#site-navigation:not(:hover)::-webkit-scrollbar{background:#FFFFFF}#site-navigation:not(:hover)::-webkit-scrollbar-thumb{background:#FFFFFF}}@media (max-width: 768px){#site-navigation{position:fixed;margin-top:3em;border-right:1px solid rgba(0,0,0,0.1)}#site-navigation.single-page{display:none}}#site-navigation nav ul.nav li a,#site-navigation nav ul.nav ul li a{color:#5a5a5a}#site-navigation nav ul.nav a:hover,#site-navigation nav ul.nav li.active>a,#site-navigation nav ul.nav li.active>a:hover{color:rgba(var(--pst-color-link), 1)}#site-navigation h1.site-logo{margin:.5em 0 0 0;font-size:1.1em;color:black;text-align:center}#site-navigation div.navbar_extra_footer{text-align:center;font-size:.9em;color:#5a5a5a;margin-bottom:3em}#site-navigation.single-page{border-right:0}@media (min-width: 768px){div.navbar-brand-box{padding-top:2em}}div.navbar-brand-box a.navbar-brand{width:100%;height:auto}div.navbar-brand-box a.navbar-brand img{display:block;height:auto;width:auto;max-height:10vh;max-width:100%;margin:0 auto}@media (min-width: 768px){div.navbar-brand-box a.navbar-brand img{max-height:15vh !important}}nav.bd-links{margin-left:0px;overflow-y:visible;max-height:none}nav.bd-links p.caption,nav.bd-links .toctree-l1 a{padding-left:0em}@media (min-width: 768px){.bd-sidebar{max-width:275px}}footer{padding-left:0}footer>div.container{padding-left:0}ul.ablog-archive{padding-left:0px}ul.postlist{padding-left:0}ul.postlist>li>p:first-child{font-size:1.5em}ul.postlist li+li{margin-top:2em}ul.postlist li>p>a{font-style:normal;font-size:1.3em}div.bd-sidebar h2{font-size:1.5em}div.bd-sidebar h3{font-size:1.4em}div.bd-sidebar>ul{list-style:none;padding-left:0}@media print{.tag_popout,div.margin{float:right;clear:right;width:50%;margin-right:-56%;margin-top:0;margin-bottom:0;padding-right:1em;font-size:0.9rem;line-height:1.3;vertical-align:baseline;position:relative;border-left:none;padding-left:0}.bd-content div#main-content>div{flex:0 0 75%;max-width:75%}h1,h2,h3,h4{break-after:avoid}table{break-inside:avoid}pre{word-wrap:break-word}a.copybtn,a.headerlink{display:none}.tag-fullwidth{width:145%;clear:both}div.toggle-hidden{visibility:inherit;opacity:1;height:auto}button.toggle-button{display:none}blockquote.epigraph{border:none}div.container{min-width:50% !important}div.bd-sidebar,div.prev-next-bottom{display:none}div.topbar{height:0;padding:0;position:inherit}div.topbar div.topbar-main{opacity:0}div.topbar div.bd-toc{flex:0 0 25%;max-width:25%;height:auto !important}div.topbar div.bd-toc nav,div.topbar div.bd-toc nav>ul.nav,div.topbar div.bd-toc nav>ul.nav>li>ul.nav{opacity:1;display:block}div.topbar div.bd-toc .nav-link.active{font-weight:inherit;color:inherit;background-color:inherit;border-left:inherit}} + */:root{--pst-font-size-base: none;--pst-color-primary: 87, 154, 202;--pst-color-admonition-note: var(--pst-color-primary);--pst-color-admonition-default: var(--pst-color-primary);--pst-color-info: 255, 193, 7;--pst-color-admonition-tip: var(--pst-color-info);--pst-color-admonition-hint: var(--pst-color-info);--pst-color-admonition-important: var(--pst-color-info);--pst-color-warning: 245, 162, 82;--pst-color-danger: 230, 101, 129;--pst-color-admonition-warning: var(--pst-color-danger);--pst-color-link: 0, 113, 188}body{padding-top:0px !important}body img{max-width:100%}code{font-size:87.5% !important}pre{border-radius:.4em}pre,div[class*="highlight-"]{clear:none}dt:target,span.highlighted{background-color:#fbe54e}.onlyprint{display:none}main.bd-content{padding-top:3em !important;padding-bottom:0px !important}main.bd-content #main-content,main.bd-content #print-main-content{padding-top:1.5em}main.bd-content #main-content a.headerlink,main.bd-content #print-main-content a.headerlink{opacity:0;margin-left:.2em}main.bd-content #main-content a.headerlink:hover,main.bd-content #print-main-content a.headerlink:hover{background-color:transparent;color:rgba(var(--pst-color-link), 1);opacity:1 !important}main.bd-content #main-content a,main.bd-content #main-content a:visited,main.bd-content #print-main-content a,main.bd-content #print-main-content a:visited{color:rgba(var(--pst-color-link), 1)}main.bd-content #main-content h1,main.bd-content #main-content h2,main.bd-content #main-content h3,main.bd-content #main-content h4,main.bd-content #main-content h5,main.bd-content #print-main-content h1,main.bd-content #print-main-content h2,main.bd-content #print-main-content h3,main.bd-content #print-main-content h4,main.bd-content #print-main-content h5{color:black}main.bd-content #main-content h1:hover a.headerlink,main.bd-content #main-content h2:hover a.headerlink,main.bd-content #main-content h3:hover a.headerlink,main.bd-content #main-content h4:hover a.headerlink,main.bd-content #main-content h5:hover a.headerlink,main.bd-content #print-main-content h1:hover a.headerlink,main.bd-content #print-main-content h2:hover a.headerlink,main.bd-content #print-main-content h3:hover a.headerlink,main.bd-content #print-main-content h4:hover a.headerlink,main.bd-content #print-main-content h5:hover a.headerlink{opacity:.5}main.bd-content #main-content h1 a.toc-backref,main.bd-content #main-content h2 a.toc-backref,main.bd-content #main-content h3 a.toc-backref,main.bd-content #main-content h4 a.toc-backref,main.bd-content #main-content h5 a.toc-backref,main.bd-content #print-main-content h1 a.toc-backref,main.bd-content #print-main-content h2 a.toc-backref,main.bd-content #print-main-content h3 a.toc-backref,main.bd-content #print-main-content h4 a.toc-backref,main.bd-content #print-main-content h5 a.toc-backref{color:inherit}main.bd-content #main-content>div>div>div.section,main.bd-content #main-content .prev-next-bottom,main.bd-content #print-main-content>div>div>div.section,main.bd-content #print-main-content .prev-next-bottom{padding-right:1em}main.bd-content #main-content .prev-next-bottom,main.bd-content #print-main-content .prev-next-bottom{overflow:auto;margin-top:3em;margin-bottom:1em;padding:0}main.bd-content #main-content .prev-next-bottom .right-next,main.bd-content #main-content .prev-next-bottom .left-prev,main.bd-content #print-main-content .prev-next-bottom .right-next,main.bd-content #print-main-content .prev-next-bottom .left-prev{border:none;display:flex;align-items:center}main.bd-content #main-content .prev-next-bottom .right-next .prevnext-info,main.bd-content #main-content .prev-next-bottom .left-prev .prevnext-info,main.bd-content #print-main-content .prev-next-bottom .right-next .prevnext-info,main.bd-content #print-main-content .prev-next-bottom .left-prev .prevnext-info{flex-direction:column}main.bd-content #main-content .prev-next-bottom .right-next p,main.bd-content #main-content .prev-next-bottom .left-prev p,main.bd-content #print-main-content .prev-next-bottom .right-next p,main.bd-content #print-main-content .prev-next-bottom .left-prev p{margin:0;line-height:1.3em}main.bd-content #main-content .prev-next-bottom .right-next .prevnext-label,main.bd-content #main-content .prev-next-bottom .left-prev .prevnext-label,main.bd-content #print-main-content .prev-next-bottom .right-next .prevnext-label,main.bd-content #print-main-content .prev-next-bottom .left-prev .prevnext-label{color:#5a5a5a}main.bd-content #main-content .prev-next-bottom .right-next .prevnext-title,main.bd-content #main-content .prev-next-bottom .left-prev .prevnext-title,main.bd-content #print-main-content .prev-next-bottom .right-next .prevnext-title,main.bd-content #print-main-content .prev-next-bottom .left-prev .prevnext-title{font-size:1.1em;color:rgba(var(--pst-color-link), 1);font-weight:500}main.bd-content #main-content .prev-next-bottom .right-next::after,main.bd-content #main-content .prev-next-bottom .left-prev::after,main.bd-content #print-main-content .prev-next-bottom .right-next::after,main.bd-content #print-main-content .prev-next-bottom .left-prev::after{content:none}main.bd-content #main-content .prev-next-bottom .left-prev i,main.bd-content #print-main-content .prev-next-bottom .left-prev i{padding-right:.75rem}main.bd-content #main-content .prev-next-bottom .left-prev::before,main.bd-content #print-main-content .prev-next-bottom .left-prev::before{content:none}main.bd-content #main-content .prev-next-bottom .right-next .prevnext-info,main.bd-content #print-main-content .prev-next-bottom .right-next .prevnext-info{text-align:right}main.bd-content #main-content .prev-next-bottom .right-next i,main.bd-content #print-main-content .prev-next-bottom .right-next i{padding-left:.75rem}main.bd-content #main-content div.section,main.bd-content #print-main-content div.section{overflow:visible !important}main.bd-content #main-content div.section ul p,main.bd-content #main-content div.section ol p,main.bd-content #print-main-content div.section ul p,main.bd-content #print-main-content div.section ol p{margin-bottom:0}main.bd-content #main-content span.eqno,main.bd-content #print-main-content span.eqno{position:absolute;right:1em;top:50%;transform:translate(0, -50%);font-size:1.2em}main.bd-content #main-content div.math,main.bd-content #print-main-content div.math{overflow-x:auto;position:relative}main.bd-content #main-content p~div.math,main.bd-content #print-main-content p~div.math{margin-top:-1.15rem}main.bd-content #main-content img.align-center,main.bd-content #print-main-content img.align-center{margin-left:auto;margin-right:auto;display:block}main.bd-content #main-content img.align-left,main.bd-content #print-main-content img.align-left{clear:left;float:left;margin-right:1em}main.bd-content #main-content img.align-right,main.bd-content #print-main-content img.align-right{clear:right;float:right;margin-left:1em}main.bd-content #main-content div.figure,main.bd-content #print-main-content div.figure{width:100%;margin-bottom:1em;text-align:center}main.bd-content #main-content div.figure.align-left,main.bd-content #print-main-content div.figure.align-left{text-align:left}main.bd-content #main-content div.figure.align-left p.caption,main.bd-content #print-main-content div.figure.align-left p.caption{margin-left:0}main.bd-content #main-content div.figure.align-right,main.bd-content #print-main-content div.figure.align-right{text-align:right}main.bd-content #main-content div.figure.align-right p.caption,main.bd-content #print-main-content div.figure.align-right p.caption{margin-right:0}main.bd-content #main-content div.figure p.caption,main.bd-content #print-main-content div.figure p.caption{margin:.5em 10%}main.bd-content #main-content div.figure.margin p.caption,main.bd-content #main-content div.figure.margin-caption p.caption,main.bd-content #print-main-content div.figure.margin p.caption,main.bd-content #print-main-content div.figure.margin-caption p.caption{margin:.5em 0}main.bd-content #main-content div.figure.margin-caption p.caption,main.bd-content #print-main-content div.figure.margin-caption p.caption{text-align:left}main.bd-content #main-content div.figure span.caption-number,main.bd-content #print-main-content div.figure span.caption-number{font-weight:bold}main.bd-content #main-content div.figure span,main.bd-content #print-main-content div.figure span{font-size:.9rem}main.bd-content #main-content div.contents,main.bd-content #print-main-content div.contents{padding:1em}main.bd-content #main-content div.contents p.topic-title,main.bd-content #print-main-content div.contents p.topic-title{font-size:1.5em;padding:.5em 0 0 1em}main.bd-content #main-content p.centered,main.bd-content #print-main-content p.centered{text-align:center}main.bd-content #main-content div.sphinx-tabs>div.sphinx-menu,main.bd-content #print-main-content div.sphinx-tabs>div.sphinx-menu{padding:0}main.bd-content #main-content div.sphinx-tabs>div.sphinx-menu>a.item,main.bd-content #print-main-content div.sphinx-tabs>div.sphinx-menu>a.item{width:auto;margin:0px 0px -1px 0px}main.bd-content #main-content .footnote-reference,main.bd-content #main-content a.bibtex.internal,main.bd-content #print-main-content .footnote-reference,main.bd-content #print-main-content a.bibtex.internal{font-size:1em}main.bd-content #main-content dl.simple dd,main.bd-content #main-content dl.field-list dd,main.bd-content #print-main-content dl.simple dd,main.bd-content #print-main-content dl.field-list dd{margin-left:1.5em}main.bd-content #main-content dl.simple dd:not(:last-child),main.bd-content #main-content dl.field-list dd:not(:last-child),main.bd-content #print-main-content dl.simple dd:not(:last-child),main.bd-content #print-main-content dl.field-list dd:not(:last-child){margin-bottom:0px}main.bd-content #main-content dl.simple dd:not(:last-child) p:last-child,main.bd-content #main-content dl.field-list dd:not(:last-child) p:last-child,main.bd-content #print-main-content dl.simple dd:not(:last-child) p:last-child,main.bd-content #print-main-content dl.field-list dd:not(:last-child) p:last-child{margin-bottom:0px}main.bd-content #main-content dl.glossary dd,main.bd-content #print-main-content dl.glossary dd{margin-left:1.5em}main.bd-content #main-content dl.footnote span.fn-backref,main.bd-content #print-main-content dl.footnote span.fn-backref{font-size:1em;padding-left:.1em}main.bd-content #main-content dl.footnote dd,main.bd-content #print-main-content dl.footnote dd{font-size:.9em;margin-left:3em}main.bd-content #main-content dl.module,main.bd-content #main-content dl.class,main.bd-content #main-content dl.exception,main.bd-content #main-content dl.function,main.bd-content #main-content dl.decorator,main.bd-content #main-content dl.data,main.bd-content #main-content dl.method,main.bd-content #main-content dl.attribute,main.bd-content #print-main-content dl.module,main.bd-content #print-main-content dl.class,main.bd-content #print-main-content dl.exception,main.bd-content #print-main-content dl.function,main.bd-content #print-main-content dl.decorator,main.bd-content #print-main-content dl.data,main.bd-content #print-main-content dl.method,main.bd-content #print-main-content dl.attribute{margin-bottom:24px}main.bd-content #main-content dl.module dt,main.bd-content #main-content dl.class dt,main.bd-content #main-content dl.exception dt,main.bd-content #main-content dl.function dt,main.bd-content #main-content dl.decorator dt,main.bd-content #main-content dl.data dt,main.bd-content #main-content dl.method dt,main.bd-content #main-content dl.attribute dt,main.bd-content #print-main-content dl.module dt,main.bd-content #print-main-content dl.class dt,main.bd-content #print-main-content dl.exception dt,main.bd-content #print-main-content dl.function dt,main.bd-content #print-main-content dl.decorator dt,main.bd-content #print-main-content dl.data dt,main.bd-content #print-main-content dl.method dt,main.bd-content #print-main-content dl.attribute dt{font-weight:bold}main.bd-content #main-content dl.module dt .headerlink,main.bd-content #main-content dl.class dt .headerlink,main.bd-content #main-content dl.exception dt .headerlink,main.bd-content #main-content dl.function dt .headerlink,main.bd-content #main-content dl.decorator dt .headerlink,main.bd-content #main-content dl.data dt .headerlink,main.bd-content #main-content dl.method dt .headerlink,main.bd-content #main-content dl.attribute dt .headerlink,main.bd-content #print-main-content dl.module dt .headerlink,main.bd-content #print-main-content dl.class dt .headerlink,main.bd-content #print-main-content dl.exception dt .headerlink,main.bd-content #print-main-content dl.function dt .headerlink,main.bd-content #print-main-content dl.decorator dt .headerlink,main.bd-content #print-main-content dl.data dt .headerlink,main.bd-content #print-main-content dl.method dt .headerlink,main.bd-content #print-main-content dl.attribute dt .headerlink{display:inline-block;font:normal normal normal 14px/1 FontAwesome;font-size:inherit;text-rendering:auto;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale;font-family:inherit;visibility:hidden;font-size:14px}main.bd-content #main-content dl.module dt .headerlink:before,main.bd-content #main-content dl.class dt .headerlink:before,main.bd-content #main-content dl.exception dt .headerlink:before,main.bd-content #main-content dl.function dt .headerlink:before,main.bd-content #main-content dl.decorator dt .headerlink:before,main.bd-content #main-content dl.data dt .headerlink:before,main.bd-content #main-content dl.method dt .headerlink:before,main.bd-content #main-content dl.attribute dt .headerlink:before,main.bd-content #print-main-content dl.module dt .headerlink:before,main.bd-content #print-main-content dl.class dt .headerlink:before,main.bd-content #print-main-content dl.exception dt .headerlink:before,main.bd-content #print-main-content dl.function dt .headerlink:before,main.bd-content #print-main-content dl.decorator dt .headerlink:before,main.bd-content #print-main-content dl.data dt .headerlink:before,main.bd-content #print-main-content dl.method dt .headerlink:before,main.bd-content #print-main-content dl.attribute dt .headerlink:before{-webkit-font-smoothing:antialiased;font-family:"FontAwesome";display:inline-block;font-style:normal;font-weight:normal;line-height:1;text-decoration:inherit}main.bd-content #main-content dl.module dt .headerlink:after,main.bd-content #main-content dl.class dt .headerlink:after,main.bd-content #main-content dl.exception dt .headerlink:after,main.bd-content #main-content dl.function dt .headerlink:after,main.bd-content #main-content dl.decorator dt .headerlink:after,main.bd-content #main-content dl.data dt .headerlink:after,main.bd-content #main-content dl.method dt .headerlink:after,main.bd-content #main-content dl.attribute dt .headerlink:after,main.bd-content #print-main-content dl.module dt .headerlink:after,main.bd-content #print-main-content dl.class dt .headerlink:after,main.bd-content #print-main-content dl.exception dt .headerlink:after,main.bd-content #print-main-content dl.function dt .headerlink:after,main.bd-content #print-main-content dl.decorator dt .headerlink:after,main.bd-content #print-main-content dl.data dt .headerlink:after,main.bd-content #print-main-content dl.method dt .headerlink:after,main.bd-content #print-main-content dl.attribute dt .headerlink:after{content:"";font-family:FontAwesome}main.bd-content #main-content dl.module dt .fa-pull-left.headerlink,main.bd-content #main-content dl.class dt .fa-pull-left.headerlink,main.bd-content #main-content dl.exception dt .fa-pull-left.headerlink,main.bd-content #main-content dl.function dt .fa-pull-left.headerlink,main.bd-content #main-content dl.decorator dt .fa-pull-left.headerlink,main.bd-content #main-content dl.data dt .fa-pull-left.headerlink,main.bd-content #main-content dl.method dt .fa-pull-left.headerlink,main.bd-content #main-content dl.attribute dt .fa-pull-left.headerlink,main.bd-content #print-main-content dl.module dt .fa-pull-left.headerlink,main.bd-content #print-main-content dl.class dt .fa-pull-left.headerlink,main.bd-content #print-main-content dl.exception dt .fa-pull-left.headerlink,main.bd-content #print-main-content dl.function dt .fa-pull-left.headerlink,main.bd-content #print-main-content dl.decorator dt .fa-pull-left.headerlink,main.bd-content #print-main-content dl.data dt .fa-pull-left.headerlink,main.bd-content #print-main-content dl.method dt .fa-pull-left.headerlink,main.bd-content #print-main-content dl.attribute dt .fa-pull-left.headerlink{margin-right:.3em}main.bd-content #main-content dl.module dt .fa-pull-right.headerlink,main.bd-content #main-content dl.class dt .fa-pull-right.headerlink,main.bd-content #main-content dl.exception dt .fa-pull-right.headerlink,main.bd-content #main-content dl.function dt .fa-pull-right.headerlink,main.bd-content #main-content dl.decorator dt .fa-pull-right.headerlink,main.bd-content #main-content dl.data dt .fa-pull-right.headerlink,main.bd-content #main-content dl.method dt .fa-pull-right.headerlink,main.bd-content #main-content dl.attribute dt .fa-pull-right.headerlink,main.bd-content #print-main-content dl.module dt .fa-pull-right.headerlink,main.bd-content #print-main-content dl.class dt .fa-pull-right.headerlink,main.bd-content #print-main-content dl.exception dt .fa-pull-right.headerlink,main.bd-content #print-main-content dl.function dt .fa-pull-right.headerlink,main.bd-content #print-main-content dl.decorator dt .fa-pull-right.headerlink,main.bd-content #print-main-content dl.data dt .fa-pull-right.headerlink,main.bd-content #print-main-content dl.method dt .fa-pull-right.headerlink,main.bd-content #print-main-content dl.attribute dt .fa-pull-right.headerlink{margin-left:.3em}main.bd-content #main-content dl.module dt .pull-left.headerlink,main.bd-content #main-content dl.class dt .pull-left.headerlink,main.bd-content #main-content dl.exception dt .pull-left.headerlink,main.bd-content #main-content dl.function dt .pull-left.headerlink,main.bd-content #main-content dl.decorator dt .pull-left.headerlink,main.bd-content #main-content dl.data dt .pull-left.headerlink,main.bd-content #main-content dl.method dt .pull-left.headerlink,main.bd-content #main-content dl.attribute dt .pull-left.headerlink,main.bd-content #print-main-content dl.module dt .pull-left.headerlink,main.bd-content #print-main-content dl.class dt .pull-left.headerlink,main.bd-content #print-main-content dl.exception dt .pull-left.headerlink,main.bd-content #print-main-content dl.function dt .pull-left.headerlink,main.bd-content #print-main-content dl.decorator dt .pull-left.headerlink,main.bd-content #print-main-content dl.data dt .pull-left.headerlink,main.bd-content #print-main-content dl.method dt .pull-left.headerlink,main.bd-content #print-main-content dl.attribute dt .pull-left.headerlink{margin-right:.3em}main.bd-content #main-content dl.module dt .pull-right.headerlink,main.bd-content #main-content dl.class dt .pull-right.headerlink,main.bd-content #main-content dl.exception dt .pull-right.headerlink,main.bd-content #main-content dl.function dt .pull-right.headerlink,main.bd-content #main-content dl.decorator dt .pull-right.headerlink,main.bd-content #main-content dl.data dt .pull-right.headerlink,main.bd-content #main-content dl.method dt .pull-right.headerlink,main.bd-content #main-content dl.attribute dt .pull-right.headerlink,main.bd-content #print-main-content dl.module dt .pull-right.headerlink,main.bd-content #print-main-content dl.class dt .pull-right.headerlink,main.bd-content #print-main-content dl.exception dt .pull-right.headerlink,main.bd-content #print-main-content dl.function dt .pull-right.headerlink,main.bd-content #print-main-content dl.decorator dt .pull-right.headerlink,main.bd-content #print-main-content dl.data dt .pull-right.headerlink,main.bd-content #print-main-content dl.method dt .pull-right.headerlink,main.bd-content #print-main-content dl.attribute dt .pull-right.headerlink{margin-left:.3em}main.bd-content #main-content dl.module dt a .headerlink,main.bd-content #main-content dl.class dt a .headerlink,main.bd-content #main-content dl.exception dt a .headerlink,main.bd-content #main-content dl.function dt a .headerlink,main.bd-content #main-content dl.decorator dt a .headerlink,main.bd-content #main-content dl.data dt a .headerlink,main.bd-content #main-content dl.method dt a .headerlink,main.bd-content #main-content dl.attribute dt a .headerlink,main.bd-content #print-main-content dl.module dt a .headerlink,main.bd-content #print-main-content dl.class dt a .headerlink,main.bd-content #print-main-content dl.exception dt a .headerlink,main.bd-content #print-main-content dl.function dt a .headerlink,main.bd-content #print-main-content dl.decorator dt a .headerlink,main.bd-content #print-main-content dl.data dt a .headerlink,main.bd-content #print-main-content dl.method dt a .headerlink,main.bd-content #print-main-content dl.attribute dt a .headerlink{display:inline-block;text-decoration:inherit}main.bd-content #main-content dl.module dt .btn .headerlink,main.bd-content #main-content dl.class dt .btn .headerlink,main.bd-content #main-content dl.exception dt .btn .headerlink,main.bd-content #main-content dl.function dt .btn .headerlink,main.bd-content #main-content dl.decorator dt .btn .headerlink,main.bd-content #main-content dl.data dt .btn .headerlink,main.bd-content #main-content dl.method dt .btn .headerlink,main.bd-content #main-content dl.attribute dt .btn .headerlink,main.bd-content #print-main-content dl.module dt .btn .headerlink,main.bd-content #print-main-content dl.class dt .btn .headerlink,main.bd-content #print-main-content dl.exception dt .btn .headerlink,main.bd-content #print-main-content dl.function dt .btn .headerlink,main.bd-content #print-main-content dl.decorator dt .btn .headerlink,main.bd-content #print-main-content dl.data dt .btn .headerlink,main.bd-content #print-main-content dl.method dt .btn .headerlink,main.bd-content #print-main-content dl.attribute dt .btn .headerlink{display:inline}main.bd-content #main-content dl.module dt .btn .fa-large.headerlink,main.bd-content #main-content dl.class dt .btn .fa-large.headerlink,main.bd-content #main-content dl.exception dt .btn .fa-large.headerlink,main.bd-content #main-content dl.function dt .btn .fa-large.headerlink,main.bd-content #main-content dl.decorator dt .btn .fa-large.headerlink,main.bd-content #main-content dl.data dt .btn .fa-large.headerlink,main.bd-content #main-content dl.method dt .btn .fa-large.headerlink,main.bd-content #main-content dl.attribute dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.module dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.class dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.exception dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.function dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.decorator dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.data dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.method dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.attribute dt .btn .fa-large.headerlink{line-height:.9em}main.bd-content #main-content dl.module dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.class dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.exception dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.function dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.decorator dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.data dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.method dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.attribute dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.module dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.class dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.exception dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.function dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.decorator dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.data dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.method dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.attribute dt .btn .fa-spin.headerlink{display:inline-block}main.bd-content #main-content dl.module dt .nav .headerlink,main.bd-content #main-content dl.class dt .nav .headerlink,main.bd-content #main-content dl.exception dt .nav .headerlink,main.bd-content #main-content dl.function dt .nav .headerlink,main.bd-content #main-content dl.decorator dt .nav .headerlink,main.bd-content #main-content dl.data dt .nav .headerlink,main.bd-content #main-content dl.method dt .nav .headerlink,main.bd-content #main-content dl.attribute dt .nav .headerlink,main.bd-content #print-main-content dl.module dt .nav .headerlink,main.bd-content #print-main-content dl.class dt .nav .headerlink,main.bd-content #print-main-content dl.exception dt .nav .headerlink,main.bd-content #print-main-content dl.function dt .nav .headerlink,main.bd-content #print-main-content dl.decorator dt .nav .headerlink,main.bd-content #print-main-content dl.data dt .nav .headerlink,main.bd-content #print-main-content dl.method dt .nav .headerlink,main.bd-content #print-main-content dl.attribute dt .nav .headerlink{display:inline}main.bd-content #main-content dl.module dt .nav .fa-large.headerlink,main.bd-content #main-content dl.class dt .nav .fa-large.headerlink,main.bd-content #main-content dl.exception dt .nav .fa-large.headerlink,main.bd-content #main-content dl.function dt .nav .fa-large.headerlink,main.bd-content #main-content dl.decorator dt .nav .fa-large.headerlink,main.bd-content #main-content dl.data dt .nav .fa-large.headerlink,main.bd-content #main-content dl.method dt .nav .fa-large.headerlink,main.bd-content #main-content dl.attribute dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.module dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.class dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.exception dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.function dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.decorator dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.data dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.method dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.attribute dt .nav .fa-large.headerlink{line-height:.9em}main.bd-content #main-content dl.module dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.class dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.exception dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.function dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.decorator dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.data dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.method dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.attribute dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.module dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.class dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.exception dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.function dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.decorator dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.data dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.method dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.attribute dt .nav .fa-spin.headerlink{display:inline-block}main.bd-content #main-content dl.module dt .btn.headerlink:before,main.bd-content #main-content dl.class dt .btn.headerlink:before,main.bd-content #main-content dl.exception dt .btn.headerlink:before,main.bd-content #main-content dl.function dt .btn.headerlink:before,main.bd-content #main-content dl.decorator dt .btn.headerlink:before,main.bd-content #main-content dl.data dt .btn.headerlink:before,main.bd-content #main-content dl.method dt .btn.headerlink:before,main.bd-content #main-content dl.attribute dt .btn.headerlink:before,main.bd-content #print-main-content dl.module dt .btn.headerlink:before,main.bd-content #print-main-content dl.class dt .btn.headerlink:before,main.bd-content #print-main-content dl.exception dt .btn.headerlink:before,main.bd-content #print-main-content dl.function dt .btn.headerlink:before,main.bd-content #print-main-content dl.decorator dt .btn.headerlink:before,main.bd-content #print-main-content dl.data dt .btn.headerlink:before,main.bd-content #print-main-content dl.method dt .btn.headerlink:before,main.bd-content #print-main-content dl.attribute dt .btn.headerlink:before{opacity:.5;-webkit-transition:opacity .05s ease-in;-moz-transition:opacity .05s ease-in;transition:opacity .05s ease-in}main.bd-content #main-content dl.module dt .btn.headerlink:hover:before,main.bd-content #main-content dl.class dt .btn.headerlink:hover:before,main.bd-content #main-content dl.exception dt .btn.headerlink:hover:before,main.bd-content #main-content dl.function dt .btn.headerlink:hover:before,main.bd-content #main-content dl.decorator dt .btn.headerlink:hover:before,main.bd-content #main-content dl.data dt .btn.headerlink:hover:before,main.bd-content #main-content dl.method dt .btn.headerlink:hover:before,main.bd-content #main-content dl.attribute dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.module dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.class dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.exception dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.function dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.decorator dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.data dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.method dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.attribute dt .btn.headerlink:hover:before{opacity:1}main.bd-content #main-content dl.module dt .btn-mini .headerlink:before,main.bd-content #main-content dl.class dt .btn-mini .headerlink:before,main.bd-content #main-content dl.exception dt .btn-mini .headerlink:before,main.bd-content #main-content dl.function dt .btn-mini .headerlink:before,main.bd-content #main-content dl.decorator dt .btn-mini .headerlink:before,main.bd-content #main-content dl.data dt .btn-mini .headerlink:before,main.bd-content #main-content dl.method dt .btn-mini .headerlink:before,main.bd-content #main-content dl.attribute dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.module dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.class dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.exception dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.function dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.decorator dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.data dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.method dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.attribute dt .btn-mini .headerlink:before{font-size:14px;vertical-align:-15%}main.bd-content #main-content dl.module dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.class dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.exception dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.function dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.decorator dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.data dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.method dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.attribute dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.module dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.class dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.exception dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.function dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.decorator dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.data dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.method dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.attribute dt .rst-versions .rst-current-version .headerlink{color:#fcfcfc}main.bd-content #main-content dl.module dt:hover .headerlink:after,main.bd-content #main-content dl.class dt:hover .headerlink:after,main.bd-content #main-content dl.exception dt:hover .headerlink:after,main.bd-content #main-content dl.function dt:hover .headerlink:after,main.bd-content #main-content dl.decorator dt:hover .headerlink:after,main.bd-content #main-content dl.data dt:hover .headerlink:after,main.bd-content #main-content dl.method dt:hover .headerlink:after,main.bd-content #main-content dl.attribute dt:hover .headerlink:after,main.bd-content #print-main-content dl.module dt:hover .headerlink:after,main.bd-content #print-main-content dl.class dt:hover .headerlink:after,main.bd-content #print-main-content dl.exception dt:hover .headerlink:after,main.bd-content #print-main-content dl.function dt:hover .headerlink:after,main.bd-content #print-main-content dl.decorator dt:hover .headerlink:after,main.bd-content #print-main-content dl.data dt:hover .headerlink:after,main.bd-content #print-main-content dl.method dt:hover .headerlink:after,main.bd-content #print-main-content dl.attribute dt:hover .headerlink:after{visibility:visible}main.bd-content #main-content dl.module p,main.bd-content #main-content dl.class p,main.bd-content #main-content dl.exception p,main.bd-content #main-content dl.function p,main.bd-content #main-content dl.decorator p,main.bd-content #main-content dl.data p,main.bd-content #main-content dl.method p,main.bd-content #main-content dl.attribute p,main.bd-content #print-main-content dl.module p,main.bd-content #print-main-content dl.class p,main.bd-content #print-main-content dl.exception p,main.bd-content #print-main-content dl.function p,main.bd-content #print-main-content dl.decorator p,main.bd-content #print-main-content dl.data p,main.bd-content #print-main-content dl.method p,main.bd-content #print-main-content dl.attribute p{margin-bottom:12px !important}main.bd-content #main-content dl.module table,main.bd-content #main-content dl.class table,main.bd-content #main-content dl.exception table,main.bd-content #main-content dl.function table,main.bd-content #main-content dl.decorator table,main.bd-content #main-content dl.data table,main.bd-content #main-content dl.method table,main.bd-content #main-content dl.attribute table,main.bd-content #print-main-content dl.module table,main.bd-content #print-main-content dl.class table,main.bd-content #print-main-content dl.exception table,main.bd-content #print-main-content dl.function table,main.bd-content #print-main-content dl.decorator table,main.bd-content #print-main-content dl.data table,main.bd-content #print-main-content dl.method table,main.bd-content #print-main-content dl.attribute table{margin-bottom:12px !important}main.bd-content #main-content dl.module ul,main.bd-content #main-content dl.class ul,main.bd-content #main-content dl.exception ul,main.bd-content #main-content dl.function ul,main.bd-content #main-content dl.decorator ul,main.bd-content #main-content dl.data ul,main.bd-content #main-content dl.method ul,main.bd-content #main-content dl.attribute ul,main.bd-content #print-main-content dl.module ul,main.bd-content #print-main-content dl.class ul,main.bd-content #print-main-content dl.exception ul,main.bd-content #print-main-content dl.function ul,main.bd-content #print-main-content dl.decorator ul,main.bd-content #print-main-content dl.data ul,main.bd-content #print-main-content dl.method ul,main.bd-content #print-main-content dl.attribute ul{margin-bottom:12px !important}main.bd-content #main-content dl.module ol,main.bd-content #main-content dl.class ol,main.bd-content #main-content dl.exception ol,main.bd-content #main-content dl.function ol,main.bd-content #main-content dl.decorator ol,main.bd-content #main-content dl.data ol,main.bd-content #main-content dl.method ol,main.bd-content #main-content dl.attribute ol,main.bd-content #print-main-content dl.module ol,main.bd-content #print-main-content dl.class ol,main.bd-content #print-main-content dl.exception ol,main.bd-content #print-main-content dl.function ol,main.bd-content #print-main-content dl.decorator ol,main.bd-content #print-main-content dl.data ol,main.bd-content #print-main-content dl.method ol,main.bd-content #print-main-content dl.attribute ol{margin-bottom:12px !important}main.bd-content #main-content dl.module dd,main.bd-content #main-content dl.class dd,main.bd-content #main-content dl.exception dd,main.bd-content #main-content dl.function dd,main.bd-content #main-content dl.decorator dd,main.bd-content #main-content dl.data dd,main.bd-content #main-content dl.method dd,main.bd-content #main-content dl.attribute dd,main.bd-content #print-main-content dl.module dd,main.bd-content #print-main-content dl.class dd,main.bd-content #print-main-content dl.exception dd,main.bd-content #print-main-content dl.function dd,main.bd-content #print-main-content dl.decorator dd,main.bd-content #print-main-content dl.data dd,main.bd-content #print-main-content dl.method dd,main.bd-content #print-main-content dl.attribute dd{margin:0 0 12px 24px}main.bd-content #main-content dl.module:not(.docutils),main.bd-content #main-content dl.class:not(.docutils),main.bd-content #main-content dl.exception:not(.docutils),main.bd-content #main-content dl.function:not(.docutils),main.bd-content #main-content dl.decorator:not(.docutils),main.bd-content #main-content dl.data:not(.docutils),main.bd-content #main-content dl.method:not(.docutils),main.bd-content #main-content dl.attribute:not(.docutils),main.bd-content #print-main-content dl.module:not(.docutils),main.bd-content #print-main-content dl.class:not(.docutils),main.bd-content #print-main-content dl.exception:not(.docutils),main.bd-content #print-main-content dl.function:not(.docutils),main.bd-content #print-main-content dl.decorator:not(.docutils),main.bd-content #print-main-content dl.data:not(.docutils),main.bd-content #print-main-content dl.method:not(.docutils),main.bd-content #print-main-content dl.attribute:not(.docutils){margin-bottom:24px}main.bd-content #main-content dl.module:not(.docutils) dt,main.bd-content #main-content dl.class:not(.docutils) dt,main.bd-content #main-content dl.exception:not(.docutils) dt,main.bd-content #main-content dl.function:not(.docutils) dt,main.bd-content #main-content dl.decorator:not(.docutils) dt,main.bd-content #main-content dl.data:not(.docutils) dt,main.bd-content #main-content dl.method:not(.docutils) dt,main.bd-content #main-content dl.attribute:not(.docutils) dt,main.bd-content #print-main-content dl.module:not(.docutils) dt,main.bd-content #print-main-content dl.class:not(.docutils) dt,main.bd-content #print-main-content dl.exception:not(.docutils) dt,main.bd-content #print-main-content dl.function:not(.docutils) dt,main.bd-content #print-main-content dl.decorator:not(.docutils) dt,main.bd-content #print-main-content dl.data:not(.docutils) dt,main.bd-content #print-main-content dl.method:not(.docutils) dt,main.bd-content #print-main-content dl.attribute:not(.docutils) dt{display:table;margin:6px 0;font-size:90%;line-height:normal;background:#e7f2fa;color:#2980B9;border-top:solid 3px #6ab0de;padding:6px;position:relative}main.bd-content #main-content dl.module:not(.docutils) dt:before,main.bd-content #main-content dl.class:not(.docutils) dt:before,main.bd-content #main-content dl.exception:not(.docutils) dt:before,main.bd-content #main-content dl.function:not(.docutils) dt:before,main.bd-content #main-content dl.decorator:not(.docutils) dt:before,main.bd-content #main-content dl.data:not(.docutils) dt:before,main.bd-content #main-content dl.method:not(.docutils) dt:before,main.bd-content #main-content dl.attribute:not(.docutils) dt:before,main.bd-content #print-main-content dl.module:not(.docutils) dt:before,main.bd-content #print-main-content dl.class:not(.docutils) dt:before,main.bd-content #print-main-content dl.exception:not(.docutils) dt:before,main.bd-content #print-main-content dl.function:not(.docutils) dt:before,main.bd-content #print-main-content dl.decorator:not(.docutils) dt:before,main.bd-content #print-main-content dl.data:not(.docutils) dt:before,main.bd-content #print-main-content dl.method:not(.docutils) dt:before,main.bd-content #print-main-content dl.attribute:not(.docutils) dt:before{color:#6ab0de}main.bd-content #main-content dl.module:not(.docutils) dt .headerlink,main.bd-content #main-content dl.class:not(.docutils) dt .headerlink,main.bd-content #main-content dl.exception:not(.docutils) dt .headerlink,main.bd-content #main-content dl.function:not(.docutils) dt .headerlink,main.bd-content #main-content dl.decorator:not(.docutils) dt .headerlink,main.bd-content #main-content dl.data:not(.docutils) dt .headerlink,main.bd-content #main-content dl.method:not(.docutils) dt .headerlink,main.bd-content #main-content dl.attribute:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.module:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.class:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.exception:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.function:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.decorator:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.data:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.method:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.attribute:not(.docutils) dt .headerlink{color:#404040;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) dt:first-child,main.bd-content #main-content dl.class:not(.docutils) dt:first-child,main.bd-content #main-content dl.exception:not(.docutils) dt:first-child,main.bd-content #main-content dl.function:not(.docutils) dt:first-child,main.bd-content #main-content dl.decorator:not(.docutils) dt:first-child,main.bd-content #main-content dl.data:not(.docutils) dt:first-child,main.bd-content #main-content dl.method:not(.docutils) dt:first-child,main.bd-content #main-content dl.attribute:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.module:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.class:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.exception:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.function:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.decorator:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.data:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.method:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.attribute:not(.docutils) dt:first-child{margin-top:0}main.bd-content #main-content dl.module:not(.docutils) dl dt,main.bd-content #main-content dl.class:not(.docutils) dl dt,main.bd-content #main-content dl.exception:not(.docutils) dl dt,main.bd-content #main-content dl.function:not(.docutils) dl dt,main.bd-content #main-content dl.decorator:not(.docutils) dl dt,main.bd-content #main-content dl.data:not(.docutils) dl dt,main.bd-content #main-content dl.method:not(.docutils) dl dt,main.bd-content #main-content dl.attribute:not(.docutils) dl dt,main.bd-content #print-main-content dl.module:not(.docutils) dl dt,main.bd-content #print-main-content dl.class:not(.docutils) dl dt,main.bd-content #print-main-content dl.exception:not(.docutils) dl dt,main.bd-content #print-main-content dl.function:not(.docutils) dl dt,main.bd-content #print-main-content dl.decorator:not(.docutils) dl dt,main.bd-content #print-main-content dl.data:not(.docutils) dl dt,main.bd-content #print-main-content dl.method:not(.docutils) dl dt,main.bd-content #print-main-content dl.attribute:not(.docutils) dl dt{margin-bottom:6px;border:none;border-left:solid 3px #ccc;background:#f0f0f0;color:#555}main.bd-content #main-content dl.module:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.class:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.exception:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.function:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.decorator:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.data:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.method:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.attribute:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.module:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.class:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.exception:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.function:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.decorator:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.data:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.method:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.attribute:not(.docutils) dl dt .headerlink{color:#404040;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) tt,main.bd-content #main-content dl.class:not(.docutils) tt,main.bd-content #main-content dl.exception:not(.docutils) tt,main.bd-content #main-content dl.function:not(.docutils) tt,main.bd-content #main-content dl.decorator:not(.docutils) tt,main.bd-content #main-content dl.data:not(.docutils) tt,main.bd-content #main-content dl.method:not(.docutils) tt,main.bd-content #main-content dl.attribute:not(.docutils) tt,main.bd-content #print-main-content dl.module:not(.docutils) tt,main.bd-content #print-main-content dl.class:not(.docutils) tt,main.bd-content #print-main-content dl.exception:not(.docutils) tt,main.bd-content #print-main-content dl.function:not(.docutils) tt,main.bd-content #print-main-content dl.decorator:not(.docutils) tt,main.bd-content #print-main-content dl.data:not(.docutils) tt,main.bd-content #print-main-content dl.method:not(.docutils) tt,main.bd-content #print-main-content dl.attribute:not(.docutils) tt{font-weight:bold;font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) code,main.bd-content #main-content dl.class:not(.docutils) code,main.bd-content #main-content dl.exception:not(.docutils) code,main.bd-content #main-content dl.function:not(.docutils) code,main.bd-content #main-content dl.decorator:not(.docutils) code,main.bd-content #main-content dl.data:not(.docutils) code,main.bd-content #main-content dl.method:not(.docutils) code,main.bd-content #main-content dl.attribute:not(.docutils) code,main.bd-content #print-main-content dl.module:not(.docutils) code,main.bd-content #print-main-content dl.class:not(.docutils) code,main.bd-content #print-main-content dl.exception:not(.docutils) code,main.bd-content #print-main-content dl.function:not(.docutils) code,main.bd-content #print-main-content dl.decorator:not(.docutils) code,main.bd-content #print-main-content dl.data:not(.docutils) code,main.bd-content #print-main-content dl.method:not(.docutils) code,main.bd-content #print-main-content dl.attribute:not(.docutils) code{font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) tt.descname,main.bd-content #main-content dl.class:not(.docutils) tt.descname,main.bd-content #main-content dl.exception:not(.docutils) tt.descname,main.bd-content #main-content dl.function:not(.docutils) tt.descname,main.bd-content #main-content dl.decorator:not(.docutils) tt.descname,main.bd-content #main-content dl.data:not(.docutils) tt.descname,main.bd-content #main-content dl.method:not(.docutils) tt.descname,main.bd-content #main-content dl.attribute:not(.docutils) tt.descname,main.bd-content #print-main-content dl.module:not(.docutils) tt.descname,main.bd-content #print-main-content dl.class:not(.docutils) tt.descname,main.bd-content #print-main-content dl.exception:not(.docutils) tt.descname,main.bd-content #print-main-content dl.function:not(.docutils) tt.descname,main.bd-content #print-main-content dl.decorator:not(.docutils) tt.descname,main.bd-content #print-main-content dl.data:not(.docutils) tt.descname,main.bd-content #print-main-content dl.method:not(.docutils) tt.descname,main.bd-content #print-main-content dl.attribute:not(.docutils) tt.descname{background-color:transparent;background-color:transparent;border:none;border:none;padding:0;padding:0;font-size:100% !important;font-size:100% !important;font-weight:bold;font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) tt.descclassname,main.bd-content #main-content dl.class:not(.docutils) tt.descclassname,main.bd-content #main-content dl.exception:not(.docutils) tt.descclassname,main.bd-content #main-content dl.function:not(.docutils) tt.descclassname,main.bd-content #main-content dl.decorator:not(.docutils) tt.descclassname,main.bd-content #main-content dl.data:not(.docutils) tt.descclassname,main.bd-content #main-content dl.method:not(.docutils) tt.descclassname,main.bd-content #main-content dl.attribute:not(.docutils) tt.descclassname,main.bd-content #print-main-content dl.module:not(.docutils) tt.descclassname,main.bd-content #print-main-content dl.class:not(.docutils) tt.descclassname,main.bd-content #print-main-content dl.exception:not(.docutils) tt.descclassname,main.bd-content #print-main-content dl.function:not(.docutils) tt.descclassname,main.bd-content #print-main-content dl.decorator:not(.docutils) tt.descclassname,main.bd-content #print-main-content dl.data:not(.docutils) tt.descclassname,main.bd-content #print-main-content dl.method:not(.docutils) tt.descclassname,main.bd-content #print-main-content dl.attribute:not(.docutils) tt.descclassname{background-color:transparent;background-color:transparent;border:none;border:none;padding:0;padding:0;font-size:100% !important;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) code.descname,main.bd-content #main-content dl.class:not(.docutils) code.descname,main.bd-content #main-content dl.exception:not(.docutils) code.descname,main.bd-content #main-content dl.function:not(.docutils) code.descname,main.bd-content #main-content dl.decorator:not(.docutils) code.descname,main.bd-content #main-content dl.data:not(.docutils) code.descname,main.bd-content #main-content dl.method:not(.docutils) code.descname,main.bd-content #main-content dl.attribute:not(.docutils) code.descname,main.bd-content #print-main-content dl.module:not(.docutils) code.descname,main.bd-content #print-main-content dl.class:not(.docutils) code.descname,main.bd-content #print-main-content dl.exception:not(.docutils) code.descname,main.bd-content #print-main-content dl.function:not(.docutils) code.descname,main.bd-content #print-main-content dl.decorator:not(.docutils) code.descname,main.bd-content #print-main-content dl.data:not(.docutils) code.descname,main.bd-content #print-main-content dl.method:not(.docutils) code.descname,main.bd-content #print-main-content dl.attribute:not(.docutils) code.descname{background-color:transparent;border:none;padding:0;font-size:100% !important;font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) code.descclassname,main.bd-content #main-content dl.class:not(.docutils) code.descclassname,main.bd-content #main-content dl.exception:not(.docutils) code.descclassname,main.bd-content #main-content dl.function:not(.docutils) code.descclassname,main.bd-content #main-content dl.decorator:not(.docutils) code.descclassname,main.bd-content #main-content dl.data:not(.docutils) code.descclassname,main.bd-content #main-content dl.method:not(.docutils) code.descclassname,main.bd-content #main-content dl.attribute:not(.docutils) code.descclassname,main.bd-content #print-main-content dl.module:not(.docutils) code.descclassname,main.bd-content #print-main-content dl.class:not(.docutils) code.descclassname,main.bd-content #print-main-content dl.exception:not(.docutils) code.descclassname,main.bd-content #print-main-content dl.function:not(.docutils) code.descclassname,main.bd-content #print-main-content dl.decorator:not(.docutils) code.descclassname,main.bd-content #print-main-content dl.data:not(.docutils) code.descclassname,main.bd-content #print-main-content dl.method:not(.docutils) code.descclassname,main.bd-content #print-main-content dl.attribute:not(.docutils) code.descclassname{background-color:transparent;border:none;padding:0;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) .optional,main.bd-content #main-content dl.class:not(.docutils) .optional,main.bd-content #main-content dl.exception:not(.docutils) .optional,main.bd-content #main-content dl.function:not(.docutils) .optional,main.bd-content #main-content dl.decorator:not(.docutils) .optional,main.bd-content #main-content dl.data:not(.docutils) .optional,main.bd-content #main-content dl.method:not(.docutils) .optional,main.bd-content #main-content dl.attribute:not(.docutils) .optional,main.bd-content #print-main-content dl.module:not(.docutils) .optional,main.bd-content #print-main-content dl.class:not(.docutils) .optional,main.bd-content #print-main-content dl.exception:not(.docutils) .optional,main.bd-content #print-main-content dl.function:not(.docutils) .optional,main.bd-content #print-main-content dl.decorator:not(.docutils) .optional,main.bd-content #print-main-content dl.data:not(.docutils) .optional,main.bd-content #print-main-content dl.method:not(.docutils) .optional,main.bd-content #print-main-content dl.attribute:not(.docutils) .optional{display:inline-block;padding:0 4px;color:#000;font-weight:bold}main.bd-content #main-content dl.module:not(.docutils) .property,main.bd-content #main-content dl.class:not(.docutils) .property,main.bd-content #main-content dl.exception:not(.docutils) .property,main.bd-content #main-content dl.function:not(.docutils) .property,main.bd-content #main-content dl.decorator:not(.docutils) .property,main.bd-content #main-content dl.data:not(.docutils) .property,main.bd-content #main-content dl.method:not(.docutils) .property,main.bd-content #main-content dl.attribute:not(.docutils) .property,main.bd-content #print-main-content dl.module:not(.docutils) .property,main.bd-content #print-main-content dl.class:not(.docutils) .property,main.bd-content #print-main-content dl.exception:not(.docutils) .property,main.bd-content #print-main-content dl.function:not(.docutils) .property,main.bd-content #print-main-content dl.decorator:not(.docutils) .property,main.bd-content #print-main-content dl.data:not(.docutils) .property,main.bd-content #print-main-content dl.method:not(.docutils) .property,main.bd-content #print-main-content dl.attribute:not(.docutils) .property{display:inline-block;padding-right:8px}main.bd-content #main-content dl.module .viewcode-link,main.bd-content #main-content dl.class .viewcode-link,main.bd-content #main-content dl.exception .viewcode-link,main.bd-content #main-content dl.function .viewcode-link,main.bd-content #main-content dl.decorator .viewcode-link,main.bd-content #main-content dl.data .viewcode-link,main.bd-content #main-content dl.method .viewcode-link,main.bd-content #main-content dl.attribute .viewcode-link,main.bd-content #print-main-content dl.module .viewcode-link,main.bd-content #print-main-content dl.class .viewcode-link,main.bd-content #print-main-content dl.exception .viewcode-link,main.bd-content #print-main-content dl.function .viewcode-link,main.bd-content #print-main-content dl.decorator .viewcode-link,main.bd-content #print-main-content dl.data .viewcode-link,main.bd-content #print-main-content dl.method .viewcode-link,main.bd-content #print-main-content dl.attribute .viewcode-link{display:inline-block;color:#27AE60;font-size:80%;padding-left:24px}div.cell div.cell_output{padding-right:0}div.cell.tag_output_scroll div.cell_output,div.cell.tag_scroll-output div.cell_output{max-height:24em;overflow-y:auto}div.cell.tag_scroll-input div.cell_input{max-height:24em;overflow-y:auto}.highlighttable .linenos{vertical-align:baseline}.toggle.admonition button.toggle-button{top:0.5em !important}.admonition{border-radius:.4em;box-shadow:0 0.2rem 0.5rem rgba(0,0,0,0.05),0 0 0.0625rem rgba(0,0,0,0.1)}.admonition.seealso{border-color:#28a745}.admonition.seealso .admonition-title{background-color:rgba(40,167,70,0.1)}.admonition.seealso .admonition-title:before{color:#28a745;content:"\f064"}button.toggle-button-hidden:before{bottom:0.2em !important}div.sidebar,div.margin,div.margin-caption p.caption,.cell.tag_popout,.cell.tag_margin{width:40%;float:right;background-color:unset;border-left:1px #a4a6a7 solid;margin-left:0.5em;padding:.2em 0 .2em 1em}div.sidebar p,div.margin p,div.margin-caption p.caption p,.cell.tag_popout p,.cell.tag_margin p{margin-bottom:0}div.sidebar p.sidebar-title,div.margin p.sidebar-title,div.margin-caption p.caption p.sidebar-title,.cell.tag_popout p.sidebar-title,.cell.tag_margin p.sidebar-title{font-weight:bold;font-size:1.2em}div.sidebar:not(.margin){background-color:#eeebee;padding:1em !important}@media (min-width: 768px){div.cell.tag_popout,div.cell.tag_margin,div.margin,div.margin-caption p.caption{border:none;clear:right;width:31% !important;margin:0 -35% 0 0 !important;padding:0 !important;font-size:0.9rem;line-height:1.3;vertical-align:baseline;position:relative}div.cell.tag_popout p,div.cell.tag_margin p,div.margin p,div.margin-caption p.caption p{margin-bottom:.5em}div.cell.tag_popout p.sidebar-title,div.cell.tag_margin p.sidebar-title,div.margin p.sidebar-title,div.margin-caption p.caption p.sidebar-title{font-size:1em}div.cell.tag_margin .cell_output{padding-left:0}div.sidebar:not(.margin){width:60%;margin-left:1.5em;margin-right:-28%}}@media (min-width: 768px){div.cell.tag_full-width,div.cell.tag_full_width,div.full_width,div.full-width{width:134% !important}}blockquote{margin:1em;padding:.2em 1.5em;border-left:4px solid #ccc}blockquote.pull-quote,blockquote.epigraph,blockquote.highlights{font-size:1.25em;border-left:none}blockquote div>p{margin-bottom:.5em}blockquote div>p+p.attribution{font-style:normal;font-size:.9em;text-align:right;color:#6c757d;padding-right:2em}div.highlight{background:none;margin-bottom:1em}div.cell div.highlight{margin-bottom:0em}.thebelab-cell{border:none !important;margin-right:.5em !important}.thebelab-cell .thebelab-input{padding-left:10px !important}.cell.docutils.container{padding-right:0px !important}button.thebe-launch-button{height:2.5em;font-size:1em}div.tableofcontents-wrapper p.caption{font-weight:600 !important;margin-bottom:0em !important}.cm-s-default{font-family:var(--jp-code-font-family);font-size:var(--jp-code-font-size);line-height:var(--jp-code-line-height)}.CodeMirror-focused{background-color:var(--jp-cell-editor-active-background) !important;border:var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);margin:-1px}.topbar,.topbar-contents,.topbar-main{height:3em}.topbar{background-color:white;transition:left .2s}.scrolled .topbar{box-shadow:0 6px 6px -6px rgba(0,0,0,0.3)}.topbar .topbar-main{padding-top:0.25rem;padding-bottom:0.25rem;padding-right:0}.topbar .topbar-main>button,.topbar .topbar-main>div,.topbar .topbar-main>a{float:left;height:100%}.topbar .topbar-main button.topbarbtn{margin:0 .1em;background-color:white;color:#5a5a5a;border:none;padding-top:.1rem;padding-bottom:.1rem;font-size:1.4em}.topbar .topbar-main button.topbarbtn i.fab{vertical-align:baseline;line-height:1}.topbar .topbar-main div.dropdown-buttons-trigger,.topbar .topbar-main a.edit-button,.topbar .topbar-main a.full-screen-button{float:right}.bd-topbar-whitespace{width:275px;flex:auto;transition:flex 0.2s ease 0s}@media (max-width: 768px){.bd-topbar-whitespace{border-bottom:1px solid transparent}.bd-topbar-whitespace.show,.bd-topbar-whitespace.collapsing,body.scrolled .bd-topbar-whitespace{border-color:rgba(0,0,0,0.1);position:absolute;bottom:0;width:100%;display:block}}span.topbar-button-text{margin-left:0.4em}@media (max-width: 768px){span.topbar-button-text{display:none}}div.dropdown-buttons-trigger div.dropdown-buttons{display:none;position:absolute;max-width:130px;margin-top:.2em;z-index:1000;transform:translate(-60%)}div.dropdown-buttons-trigger div.dropdown-buttons.sourcebuttons .topbarbtn i{padding-right:6px;margin-left:-5px;font-size:.9em !important}div.dropdown-buttons-trigger div.dropdown-buttons button.topbarbtn{padding-top:.35rem;padding-bottom:.35rem;min-width:120px !important;border:1px white solid !important;background-color:#5a5a5a;color:white;font-size:1em}div.dropdown-buttons-trigger:hover div.dropdown-buttons{display:block}a.dropdown-buttons i{margin-right:.5em}button.topbarbtn img{height:1.15em;padding-right:6px;margin-left:-5px}#navbar-toggler{position:relative;margin-right:1em;margin-left:.5em;color:#5a5a5a}#navbar-toggler i{transition:opacity .3s, transform .3s;position:absolute;top:16%;left:0;display:block;font-size:1.2em}#navbar-toggler i.fa-bars{opacity:0;transform:rotate(180deg) scale(0.5)}#navbar-toggler i.fa-arrow-left,#navbar-toggler i.fa-arrow-up{opacity:1}#navbar-toggler.collapsed i.fa-bars{opacity:1;transform:rotate(0) scale(1)}#navbar-toggler.collapsed i.fa-arrow-left,#navbar-toggler.collapsed i.fa-arrow-up{opacity:0;transform:rotate(-180deg) scale(0.5)}@media (max-width: 768px){#navbar-toggler i.fa-arrow-up{display:none}}@media (min-width: 768px){#navbar-toggler i.fa-arrow-up{display:none}#navbar-toggler i.fa-arrow-left{display:inherit}}@media (min-width: 768px){.bd-topbar-whitespace{max-width:275px}}.bd-toc{padding:0px !important;right:-1em;z-index:999;height:auto}.bd-toc div.onthispage,.bd-toc .toc-entry a{color:#5a5a5a}.bd-toc nav{opacity:0;max-height:0;transition:opacity 0.2s ease, max-height .7s ease;overflow-y:hidden;background:white;scrollbar-width:thin}.bd-toc nav::-webkit-scrollbar{width:5px}.bd-toc nav::-webkit-scrollbar{background:#f1f1f1}.bd-toc nav::-webkit-scrollbar-thumb{background:#c1c1c1}.bd-toc nav::-webkit-scrollbar-thumb:hover{background:#a0a0a0}@media (min-width: 992px){.bd-toc nav:not(:hover){-ms-overflow-style:none}.bd-toc nav:not(:hover)::-webkit-scrollbar{background:#FFFFFF}.bd-toc nav:not(:hover)::-webkit-scrollbar-thumb{background:#FFFFFF}}.bd-toc nav a:hover,.bd-toc nav li.active>a.active{color:rgba(var(--pst-color-link), 1)}.bd-toc nav li.active>a.active{border-left:2px solid rgba(var(--pst-color-link), 1)}.bd-toc nav>.nav{border-left:1px solid #eee}.bd-toc nav>.nav .nav{border-left:none}.bd-toc:hover nav,.bd-toc.show nav{max-height:90vh;opacity:1;overflow-y:auto}.bd-toc:hover .tocsection:after,.bd-toc.show .tocsection:after{opacity:0}.bd-toc .tocsection{padding:.5rem 0 .5rem 1rem !important}.bd-toc .tocsection:after{content:"\f107";font-family:"Font Awesome 5 Free";font-weight:900;padding-left:.5em;transition:opacity .3s ease}.bd-toc .toc-entry a{padding:.125rem 1rem !important}.bd-toc div.editthispage{display:none}#site-navigation{height:100vh !important;width:275px;flex:auto;top:0px !important;margin-left:0;overflow-y:auto;background:white;transition:margin-left .2s ease 0s, opacity .2s ease 0s, visibility .2s ease 0s;z-index:2000 !important;scrollbar-width:thin}#site-navigation.collapse{visibility:hidden;margin-left:-275px;opacity:0;display:block}#site-navigation.collapse.show{visibility:visible;margin-left:0;opacity:1}#site-navigation::-webkit-scrollbar{width:5px}#site-navigation::-webkit-scrollbar{background:#f1f1f1}#site-navigation::-webkit-scrollbar-thumb{background:#c1c1c1}#site-navigation::-webkit-scrollbar-thumb:hover{background:#a0a0a0}@media (min-width: 992px){#site-navigation:not(:hover){-ms-overflow-style:none}#site-navigation:not(:hover)::-webkit-scrollbar{background:#FFFFFF}#site-navigation:not(:hover)::-webkit-scrollbar-thumb{background:#FFFFFF}}@media (max-width: 768px){#site-navigation{position:fixed;margin-top:3em;border-right:1px solid rgba(0,0,0,0.1)}#site-navigation.single-page{display:none}}#site-navigation nav ul.nav li a,#site-navigation nav ul.nav ul li a{color:#5a5a5a}#site-navigation nav ul.nav a:hover,#site-navigation nav ul.nav li.active>a,#site-navigation nav ul.nav li.active>a:hover{color:rgba(var(--pst-color-link), 1)}#site-navigation h1.site-logo{margin:.5em 0 0 0;font-size:1.1em;color:black;text-align:center}#site-navigation div.navbar_extra_footer{text-align:center;font-size:.9em;color:#5a5a5a;margin-bottom:3em}#site-navigation.single-page{border-right:0}@media (min-width: 768px){div.navbar-brand-box{padding-top:2em}}div.navbar-brand-box a.navbar-brand{width:100%;height:auto}div.navbar-brand-box a.navbar-brand img{display:block;height:auto;width:auto;max-height:10vh;max-width:100%;margin:0 auto}@media (min-width: 768px){div.navbar-brand-box a.navbar-brand img{max-height:15vh !important}}nav.bd-links{margin-left:0px;overflow-y:visible;max-height:none}nav.bd-links p.caption,nav.bd-links .toctree-l1 a{padding-left:0em}@media (min-width: 768px){.bd-sidebar{max-width:275px}}footer{padding-left:0}footer>div.container{padding-left:0}ul.ablog-archive{padding-left:0px}ul.postlist{padding-left:0}ul.postlist>li>p:first-child{font-size:1.5em}ul.postlist li+li{margin-top:2em}ul.postlist li>p>a{font-style:normal;font-size:1.3em}div.bd-sidebar h2{font-size:1.5em}div.bd-sidebar h3{font-size:1.4em}div.bd-sidebar>ul{list-style:none;padding-left:0}@media print{.noprint{display:none !important}.onlyprint{display:block !important}.tag_popout,div.margin{float:none;margin:2em 0 2em auto !important;border:1px solid #a4a6a7;padding:1em !important;border-radius:5px;width:50%;margin-top:0;margin-bottom:0;padding-right:1em;font-size:0.9rem;line-height:1.3;background-color:#ffe !important;vertical-align:baseline;position:relative;padding-left:0}.tag_popout p,div.margin p{margin:0px}.bd-content div#main-content>div{flex:0 0 100%;max-width:100%;overflow-x:hidden}h1{text-align:center;margin-top:1em;margin-bottom:0}h1,h2,h3,h4{break-after:avoid;color:black}#jb-print-docs-body+div h1:first-of-type,div.prev-next-area{display:none}table{break-inside:avoid}pre{word-wrap:break-word}a.copybtn,a.headerlink{display:none}.tag-fullwidth{width:145%;clear:both}div.toggle-hidden{visibility:inherit;opacity:1;height:auto}button.toggle-button{display:none}blockquote.epigraph{border:none}div.container{min-width:50% !important}div.bd-sidebar,div.prev-next-bottom{display:none}div.topbar{height:0;padding:0;position:inherit}div.topbar div.topbar-main{opacity:0}.section-nav{border-left:0px;list-style-type:disc;margin-left:3em}.section-nav a{text-decoration:none;padding-left:0px}.section-nav li{display:list-item !important}.section-nav .nav{display:none}#jb-print-toc{margin-bottom:1.5rem}.footer{margin-top:1em}} diff --git a/doc/LectureNotes/_build/html/_static/togglebutton.css b/doc/LectureNotes/_build/html/_static/togglebutton.css index d55b5ca01..54a678790 100644 --- a/doc/LectureNotes/_build/html/_static/togglebutton.css +++ b/doc/LectureNotes/_build/html/_static/togglebutton.css @@ -1,90 +1,160 @@ +/** + * Admonition-based toggles + */ + /* Visibility of the target */ -.toggle, div.admonition.toggle .admonition-title ~ * { - transition: opacity .5s, height .5s; -} - -.toggle-hidden:not(.admonition) { - visibility: hidden; - opacity: 0; - height: 1.5em; - margin: 0px; - padding: 0px; -} - -/* Overrides for admonition toggles */ - -/* Titles should cut off earlier to avoid overlapping w/ button */ -div.admonition.toggle p.admonition-title { - padding-right: 25%; -} - -/* hides all the content of a page until de-toggled */ -div.admonition.toggle-hidden .admonition-title ~ * { - height: 0; - margin: 0; - float: left; /* so they overlap when hidden */ - opacity: 0; - visibility: hidden; +.admonition.toggle .admonition-title ~ * { + transition: opacity .3s, height .3s; } /* Toggle buttons inside admonitions so we see the title */ -.toggle.admonition { +.admonition.toggle { position: relative; } -.toggle.admonition.admonition-title:after { - content: "" !important; +/* Titles should cut off earlier to avoid overlapping w/ button */ +.admonition.toggle .admonition-title { + padding-right: 25%; + cursor: pointer; } -/* Note, we'll over-ride this in sphinx-book-theme */ -.toggle.admonition button.toggle-button { - margin-right: 0.5em; - right: 0em; - position: absolute; - top: .2em; +/* Hovering will cause a slight shift in color to make it feel interactive */ +.admonition.toggle .admonition-title:hover { + box-shadow: inset 0 0 0px 20px rgb(0 0 0 / 1%); } -/* General button style */ +/* Hovering will cause a slight shift in color to make it feel interactive */ +.admonition.toggle .admonition-title:active { + box-shadow: inset 0 0 0px 20px rgb(0 0 0 / 3%); +} + +/* Remove extra whitespace below the admonition title when hidden */ +.admonition.toggle-hidden { + padding-bottom: 0; +} + +.admonition.toggle-hidden .admonition-title { + margin-bottom: 0; +} + +/* hides all the content of a page until de-toggled */ +.admonition.toggle-hidden .admonition-title ~ * { + height: 0; + margin: 0; + opacity: 0; + visibility: hidden; +} + +/* General button style and position*/ button.toggle-button { - background: #999; + /** + * Background and shape. By default there's no background + * but users can style as they wish + */ + background: none; border: none; - z-index: 100; - right: -2.5em; - margin-left: -2.5em; /* A hack to keep code blocks from being pushed left */ - position: relative; - float: right; - border-radius: 100%; - width: 1.5em; - height: 1.5em; + outline: none; + + /* Positioning just inside the admonition title */ + position: absolute; + right: 0.5em; padding: 0px; + border: none; + outline: none; } +/* Display the toggle hint on wide screens */ @media (min-width: 768px) { button.toggle-button.toggle-button-hidden:before { - content: "Click to show"; - position: absolute; + content: attr(data-toggle-hint); /* This will be filled in by JS */ font-size: .8em; - left: -6.5em; - bottom: .4em; + align-self: center; } } - -/* Plus / minus toggles */ -.toggle-button .bar { - background-color: white; - position: absolute; - left: 15%; - top: 43%; - width: 16px; - height: 3px; +/* Icon behavior */ +.tb-icon { + transition: transform .2s ease-out; + height: 1.5em; + width: 1.5em; + stroke: currentColor; /* So that we inherit the color of other text */ } -.toggle-button .vertical { - transition: all 0.25s ease-in-out; - transform-origin: center; +/* The icon should point right when closed, down when open. */ +/* Open */ +.admonition.toggle button .tb-icon { + transform: rotate(90deg); } -.toggle-button-hidden .vertical { - transform: rotate(-90deg); +/* Closed */ +.admonition.toggle button.toggle-button-hidden .tb-icon { + transform: rotate(0deg); +} + +/* With details toggles, we don't rotate the icon so it points right */ +details.toggle-details .tb-icon { + height: 1.4em; + width: 1.4em; + margin-top: 0.1em; /* To center the button vertically */ +} + + +/** + * Details-based toggles. + * In this case, we wrap elements with `.toggle` in a details block. + */ + +/* Details blocks */ +details.toggle-details { + margin: 1em 0; +} + + +details.toggle-details summary { + display: flex; + align-items: center; + cursor: pointer; + list-style: none; + border-radius: .2em; + border-left: 3px solid #1976d2; + background-color: rgb(204 204 204 / 10%); + padding: 0.2em 0.7em 0.3em 0.5em; /* Less padding on left because the SVG has left margin */ + font-size: 0.9em; +} + +details.toggle-details summary:hover { + background-color: rgb(204 204 204 / 20%); +} + +details.toggle-details summary:active { + background: rgb(204 204 204 / 28%); +} + +.toggle-details__summary-text { + margin-left: 0.2em; +} + +details.toggle-details[open] summary { + margin-bottom: .5em; +} + +details.toggle-details[open] summary .tb-icon { + transform: rotate(90deg); +} + +details.toggle-details[open] summary ~ * { + animation: toggle-fade-in .3s ease-out; +} + +@keyframes toggle-fade-in { + from {opacity: 0%;} + to {opacity: 100%;} +} + +/* Print rules - we hide all toggle button elements at print */ +@media print { + /* Always hide the summary so the button doesn't show up */ + details.toggle-details summary { + display: none; + } } \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/_static/togglebutton.js b/doc/LectureNotes/_build/html/_static/togglebutton.js index 19d38c1ae..215a7eef4 100644 --- a/doc/LectureNotes/_build/html/_static/togglebutton.js +++ b/doc/LectureNotes/_build/html/_static/togglebutton.js @@ -1,33 +1,94 @@ +/** + * Add Toggle Buttons to elements + */ + +let toggleChevron = ` + + + +`; + var initToggleItems = () => { var itemsToToggle = document.querySelectorAll(togglebuttonSelector); - console.log(itemsToToggle, togglebuttonSelector) + console.log(`[togglebutton]: Adding toggle buttons to ${itemsToToggle.length} items`) // Add the button to each admonition and hook up a callback to toggle visibility itemsToToggle.forEach((item, index) => { - var toggleID = `toggle-${index}`; - var buttonID = `button-${toggleID}`; - var collapseButton = ` - `; - - item.setAttribute('id', toggleID); - - if (!item.classList.contains("toggle")){ - item.classList.add("toggle"); - } - - // If it's an admonition block, then we'll add the button inside if (item.classList.contains("admonition")) { - item.insertAdjacentHTML("afterbegin", collapseButton); - } else { - item.insertAdjacentHTML('beforebegin', collapseButton); - } + // If it's an admonition block, then we'll add a button inside + // Generate unique IDs for this item + var toggleID = `toggle-${index}`; + var buttonID = `button-${toggleID}`; - thisButton = $(`#${buttonID}`); - thisButton.on('click', toggleClickHandler); - if (!item.classList.contains("toggle-shown")) { - toggleHidden(thisButton[0]); + item.setAttribute('id', toggleID); + if (!item.classList.contains("toggle")){ + item.classList.add("toggle"); + } + // This is the button that will be added to each item to trigger the toggle + var collapseButton = ` + `; + + title = item.querySelector(".admonition-title") + title.insertAdjacentHTML("beforeend", collapseButton); + thisButton = document.getElementById(buttonID); + + // Add click handlers for the button + admonition title (if admonition) + admonitionTitle = document.querySelector(`#${toggleID} > .admonition-title`) + if (admonitionTitle) { + // If an admonition, then make the whole title block clickable + admonitionTitle.addEventListener('click', toggleClickHandler); + admonitionTitle.dataset.target = toggleID + admonitionTitle.dataset.button = buttonID + } else { + // If not an admonition then we'll listen for the button click + thisButton.addEventListener('click', toggleClickHandler); + } + + // Now hide the item for this toggle button unless explicitly noted to show + if (!item.classList.contains("toggle-shown")) { + toggleHidden(thisButton); + } + } else { + // If not an admonition, wrap the block in a
block + // Define the structure of the details block and insert it as a sibling + var detailsBlock = ` +
+ + ${toggleChevron} + ${toggleHintShow} + +
`; + item.insertAdjacentHTML("beforebegin", detailsBlock); + + // Now move the toggle-able content inside of the details block + details = item.previousElementSibling + details.appendChild(item) + item.classList.add("toggle-details__container") + + // Set up a click trigger to change the text as needed + details.addEventListener('click', (click) => { + let parent = click.target.parentElement; + if (parent.tagName.toLowerCase() == "details") { + summary = parent.querySelector("summary"); + details = parent; + } else { + summary = parent; + details = parent.parentElement; + } + // Update the inner text for the proper hint + if (details.open) { + summary.querySelector("span.toggle-details__summary-text").innerText = toggleHintShow; + } else { + summary.querySelector("span.toggle-details__summary-text").innerText = toggleHintHide; + } + + }); + + // If we have a toggle-shown class, open details block should be open + if (item.classList.contains("toggle-shown")) { + details.click(); + } } }) }; @@ -46,8 +107,25 @@ var toggleHidden = (button) => { } var toggleClickHandler = (click) => { - button = document.getElementById(click.target.dataset['button']); - toggleHidden(button); + // Be cause the admonition title is clickable and extends to the whole admonition + // We only look for a click event on this title to trigger the toggle. + + if (click.target.classList.contains("admonition-title")) { + button = click.target.querySelector(".toggle-button"); + } else if (click.target.classList.contains("tb-icon")) { + // We've clicked the icon and need to search up one parent for the button + button = click.target.parentElement; + } else if (click.target.tagName == "polyline") { + // We've clicked the SVG elements inside the button, need to up 2 layers + button = click.target.parentElement.parentElement; + } else if (click.target.classList.contains("toggle-button")) { + // We've clicked the button itself and so don't need to do anything + button = click.target; + } else { + console.log(`[togglebutton]: Couldn't find button for ${click.target}`) + } + target = document.getElementById(button.dataset['button']); + toggleHidden(target); } // If we want to blanket-add toggle classes to certain cells @@ -74,3 +152,36 @@ const sphinxToggleRunWhenDOMLoaded = cb => { } sphinxToggleRunWhenDOMLoaded(addToggleToSelector) sphinxToggleRunWhenDOMLoaded(initToggleItems) + +/** Toggle details blocks to be open when printing */ +if (toggleOpenOnPrint == "true") { + window.addEventListener("beforeprint", () => { + // Open the details + document.querySelectorAll("details.toggle-details").forEach((el) => { + el.dataset["togglestatus"] = el.open; + el.open = true; + }); + + // Open the admonitions + document.querySelectorAll(".admonition.toggle.toggle-hidden").forEach((el) => { + console.log(el); + el.querySelector("button.toggle-button").click(); + el.dataset["toggle_after_print"] = "true"; + }); + }); + window.addEventListener("afterprint", () => { + // Re-close the details that were closed + document.querySelectorAll("details.toggle-details").forEach((el) => { + el.open = el.dataset["togglestatus"] == "true"; + delete el.dataset["togglestatus"]; + }); + + // Re-close the admonition toggle buttons + document.querySelectorAll(".admonition.toggle").forEach((el) => { + if (el.dataset["toggle_after_print"] == "true") { + el.querySelector("button.toggle-button").click(); + delete el.dataset["toggle_after_print"]; + } + }); + }); +} diff --git a/doc/LectureNotes/_build/html/_static/webpack-macros.html b/doc/LectureNotes/_build/html/_static/webpack-macros.html index 144f18859..748f33e6b 100644 --- a/doc/LectureNotes/_build/html/_static/webpack-macros.html +++ b/doc/LectureNotes/_build/html/_static/webpack-macros.html @@ -12,14 +12,14 @@ {% endmacro %} {% macro head_pre_bootstrap() %} - - + + {% endmacro %} {% macro head_js_preload() %} - + {% endmacro %} {% macro body_post() %} - + {% endmacro %} \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/chapter1.html b/doc/LectureNotes/_build/html/chapter1.html index a0d43af12..054812bfc 100644 --- a/doc/LectureNotes/_build/html/chapter1.html +++ b/doc/LectureNotes/_build/html/chapter1.html @@ -7,8 +7,8 @@ 3. Linear Regression — Applied Data Analysis and Machine Learning - - + + - + - + + + + - + - + - + + + + @@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

About the course @@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Review of Statistics with Resampling Techniques and Linear Algebra @@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

From Regression to Support Vector Machines @@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Decision Trees, Ensemble Methods and Boosting @@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Dimensionality Reduction @@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Deep Learning Methods @@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output" data-placement="left">.ipynb + onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf @@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output" -

+
Contents @@ -427,7 +433,138 @@ const thebe_selector_output = ".output, .cell_output"
- + +
+

Linear Regression

+ +
+ +
+
+
-
-

- - By Morten Hjorth-Jensen
- - © Copyright 2021.
-

-
-
+

+ + By Morten Hjorth-Jensen
+ + © Copyright 2021.
+

+
- + - \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/chapter10.html b/doc/LectureNotes/_build/html/chapter10.html index 10424c36c..2f4af6bb2 100644 --- a/doc/LectureNotes/_build/html/chapter10.html +++ b/doc/LectureNotes/_build/html/chapter10.html @@ -7,8 +7,8 @@ 14. Building a Feed Forward Neural Network — Applied Data Analysis and Machine Learning - - + + - + - + + + + - + - + - + + + + @@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

About the course @@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Review of Statistics with Resampling Techniques and Linear Algebra @@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

From Regression to Support Vector Machines @@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Decision Trees, Ensemble Methods and Boosting @@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Dimensionality Reduction @@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Deep Learning Methods @@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output" data-placement="left">.ipynb + onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf

@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output" -
+
Contents @@ -463,7 +469,174 @@ const thebe_selector_output = ".output, .cell_output"
- + +
+

Building a Feed Forward Neural Network

+ +
+ +
+
+
-
-

- - By Morten Hjorth-Jensen
- - © Copyright 2021.
-

-
-
+

+ + By Morten Hjorth-Jensen
+ + © Copyright 2021.
+

+
- + - \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/chapter11.html b/doc/LectureNotes/_build/html/chapter11.html index e4f10e2e7..9361d8bea 100644 --- a/doc/LectureNotes/_build/html/chapter11.html +++ b/doc/LectureNotes/_build/html/chapter11.html @@ -7,8 +7,8 @@ 15. Solving Differential Equations with Deep Learning — Applied Data Analysis and Machine Learning - - + + - + - + + + + - + - + - + + + + @@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

About the course @@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Review of Statistics with Resampling Techniques and Linear Algebra @@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

From Regression to Support Vector Machines @@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Decision Trees, Ensemble Methods and Boosting @@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Dimensionality Reduction @@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Deep Learning Methods @@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output" data-placement="left">.ipynb + onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf

@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output" -
+
Contents @@ -402,7 +408,113 @@ const thebe_selector_output = ".output, .cell_output"
- + +
+

Solving Differential Equations with Deep Learning

+ +
+ +
+
+
-
-

- - By Morten Hjorth-Jensen
- - © Copyright 2021.
-

-
-
+

+ + By Morten Hjorth-Jensen
+ + © Copyright 2021.
+

+
- + - \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/chapter12.html b/doc/LectureNotes/_build/html/chapter12.html index b5652d3e2..0bd3d3e60 100644 --- a/doc/LectureNotes/_build/html/chapter12.html +++ b/doc/LectureNotes/_build/html/chapter12.html @@ -7,8 +7,8 @@ 16. Convolutional Neural Networks — Applied Data Analysis and Machine Learning - - + + - + - + + + + - + - + - + + + + @@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

About the course @@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Review of Statistics with Resampling Techniques and Linear Algebra @@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

From Regression to Support Vector Machines @@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Decision Trees, Ensemble Methods and Boosting @@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Dimensionality Reduction @@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Deep Learning Methods @@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output" data-placement="left">.ipynb + onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf

@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output" -
+
Contents @@ -383,7 +389,94 @@ const thebe_selector_output = ".output, .cell_output"
- + +
+

Convolutional Neural Networks

+ +
+ +
+
+
-
-

- - By Morten Hjorth-Jensen
- - © Copyright 2021.
-

-
-
+

+ + By Morten Hjorth-Jensen
+ + © Copyright 2021.
+

+
- + - \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/chapter13.html b/doc/LectureNotes/_build/html/chapter13.html index 66481abd9..42d4fab6a 100644 --- a/doc/LectureNotes/_build/html/chapter13.html +++ b/doc/LectureNotes/_build/html/chapter13.html @@ -7,8 +7,8 @@ 17. Recurrent neural networks: Overarching view — Applied Data Analysis and Machine Learning - - + + - + - + + + + - + - + - + + + + @@ -93,7 +99,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

About the course @@ -115,7 +121,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Review of Statistics with Resampling Techniques and Linear Algebra @@ -132,7 +138,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

From Regression to Support Vector Machines @@ -169,7 +175,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Decision Trees, Ensemble Methods and Boosting @@ -186,7 +192,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Dimensionality Reduction @@ -203,7 +209,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Deep Learning Methods @@ -280,7 +286,7 @@ const thebe_selector_output = ".output, .cell_output" data-placement="left">.ipynb + onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf

@@ -298,7 +304,7 @@ const thebe_selector_output = ".output, .cell_output" -
+
Contents @@ -364,7 +370,76 @@ const thebe_selector_output = ".output, .cell_output"
- + +
+

Recurrent neural networks: Overarching view

+ +
+ +
+
+
-
-

- - By Morten Hjorth-Jensen
- - © Copyright 2021.
-

-
-
+

+ + By Morten Hjorth-Jensen
+ + © Copyright 2021.
+

+
- + - \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/chapter2.html b/doc/LectureNotes/_build/html/chapter2.html index 8a7b8b427..31107dea7 100644 --- a/doc/LectureNotes/_build/html/chapter2.html +++ b/doc/LectureNotes/_build/html/chapter2.html @@ -7,8 +7,8 @@ 4. Ridge and Lasso Regression — Applied Data Analysis and Machine Learning - - + + - + - + + + + - + - + - + + + + @@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

About the course @@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Review of Statistics with Resampling Techniques and Linear Algebra @@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

From Regression to Support Vector Machines @@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Decision Trees, Ensemble Methods and Boosting @@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Dimensionality Reduction @@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Deep Learning Methods @@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output" data-placement="left">.ipynb + onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf

@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output" -
+
Contents @@ -384,7 +390,95 @@ const thebe_selector_output = ".output, .cell_output"
- + +
+

Ridge and Lasso Regression

+ +
+ +
+
+
-
-

- - By Morten Hjorth-Jensen
- - © Copyright 2021.
-

-
-
+

+ + By Morten Hjorth-Jensen
+ + © Copyright 2021.
+

+
- + - \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/chapter3.html b/doc/LectureNotes/_build/html/chapter3.html index 00caa630a..93fc20e67 100644 --- a/doc/LectureNotes/_build/html/chapter3.html +++ b/doc/LectureNotes/_build/html/chapter3.html @@ -7,8 +7,8 @@ 5. Resampling Methods — Applied Data Analysis and Machine Learning - - + + - + - + + + + - + - + - + + + + @@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

About the course @@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Review of Statistics with Resampling Techniques and Linear Algebra @@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

From Regression to Support Vector Machines @@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Decision Trees, Ensemble Methods and Boosting @@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Dimensionality Reduction @@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output" -

+

Deep Learning Methods @@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output" data-placement="left">.ipynb + onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf

@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output" -
+
Contents @@ -393,7 +399,104 @@ const thebe_selector_output = ".output, .cell_output"
- + +
+

Resampling Methods

+ +
+ +
+
+
@@ -657,10 +760,10 @@ number \(i\) is left out. Usin
-
Runtime: 0.0896981 sec
+
Runtime: 0.0903549 sec
 Jackknife Statistics :
 original           bias      std. error
- 100.213        100.203        0.148564
+ 100.107        100.097        0.150184
@@ -879,7 +982,7 @@ theorem.

Bootstrap Statistics :
 original           bias      std. error
- 99.8879  15.0782        99.8894        0.149213
+ 99.9033  14.9678         99.904        0.151348
@@ -1015,10 +1118,10 @@ We use a more compact notation in terms of the expectation value

-
Error: 0.013121574061370796
-Bias^2: 0.012073649472576395
-Var: 0.0010479245887943952
-0.013121574061370796 >= 0.012073649472576395 + 0.0010479245887943952 = 0.01312157406137079
+
Error: 0.013121574062587286
+Bias^2: 0.012073649469946107
+Var: 0.0010479245926411787
+0.013121574062587286 >= 0.012073649469946107 + 0.0010479245926411787 = 0.013121574062587286
 

 

 _images/chapter3_61_1.png
@@ -1089,71 +1192,68 @@ Var: 0.004579219539673834
 Polynomial degree: 2
 Error: 0.10398646080125037
 Bias^2: 0.10077114273548984
-Var: 0.0032153180657605125
-0.10398646080125037 >= 0.10077114273548984 + 0.0032153180657605125 = 0.10398646080125036
+Var: 0.0032153180657605116
+0.10398646080125037 >= 0.10077114273548984 + 0.0032153180657605116 = 0.10398646080125036
 Polynomial degree: 3
 Error: 0.06547790180152352
-Bias^2: 0.06208238634231944
-Var: 0.003395515459204093
-0.06547790180152352 >= 0.06208238634231944 + 0.003395515459204093 = 0.06547790180152353
+Bias^2: 0.062082386342319454
+Var: 0.0033955154592040923
+0.06547790180152352 >= 0.062082386342319454 + 0.0033955154592040923 = 0.06547790180152355
 Polynomial degree: 4
-Error: 0.06844519414009442
+Error: 0.06844519414009445
 Bias^2: 0.06453579006728322
-Var: 0.003909404072811217
-0.06844519414009442 >= 0.06453579006728322 + 0.003909404072811217 = 0.06844519414009444
-Polynomial degree: 5
-Error: 0.052279218012057004
-Bias^2: 0.048187277304303056
-Var: 0.004091940707753948
-0.052279218012057004 >= 0.048187277304303056 + 0.004091940707753948 = 0.052279218012057004
+Var: 0.003909404072811221
+0.06844519414009445 >= 0.06453579006728322 + 0.003909404072811221 = 0.06844519414009444
-
Polynomial degree: 6
-Error: 0.037813671417388985
-Bias^2: 0.033657685071527624
-Var: 0.004155986345861364
-0.037813671417388985 >= 0.033657685071527624 + 0.004155986345861364 = 0.03781367141738899
+
Polynomial degree: 5
+Error: 0.05227921801205679
+Bias^2: 0.04818727730430286
+Var: 0.004091940707753925
+0.05227921801205679 >= 0.04818727730430286 + 0.004091940707753925 = 0.05227921801205679
+Polynomial degree: 6
+Error: 0.03781367141738902
+Bias^2: 0.03365768507152769
+Var: 0.0041559863458613296
+0.03781367141738902 >= 0.03365768507152769 + 0.0041559863458613296 = 0.03781367141738902
 Polynomial degree: 7
-Error: 0.027609773491022407
-Bias^2: 0.0229994982603662
-Var: 0.004610275230656187
-0.027609773491022407 >= 0.0229994982603662 + 0.004610275230656187 = 0.027609773491022387
+Error: 0.027609773491022394
+Bias^2: 0.022999498260366198
+Var: 0.004610275230656182
+0.027609773491022394 >= 0.022999498260366198 + 0.004610275230656182 = 0.02760977349102238
 Polynomial degree: 8
-Error: 0.017355848195593354
-Bias^2: 0.010331721306655144
-Var: 0.0070241268889382116
-0.017355848195593354 >= 0.010331721306655144 + 0.0070241268889382116 = 0.017355848195593354
-Polynomial degree:
-

-

-
 9
-Error: 0.026605727637184613
-Bias^2: 0.010018312644139205
-Var: 0.016587414993045405
-0.026605727637184613 >= 0.010018312644139205 + 0.016587414993045405 = 0.02660572763718461
+Error: 0.017355848195593312
+Bias^2: 0.010331721306655165
+Var: 0.007024126888938144
+0.017355848195593312 >= 0.010331721306655165 + 0.007024126888938144 = 0.01735584819559331
+Polynomial degree: 9
+Error: 0.026605727637184558
+Bias^2: 0.010018312644139219
+Var: 0.016587414993045335
+0.026605727637184558 >= 0.010018312644139219 + 0.016587414993045335 = 0.026605727637184554
 Polynomial degree: 10
-Error: 0.021592704588021167
-Bias^2: 0.010516485576646513
-Var: 0.01107621901137465
-0.021592704588021167 >= 0.010516485576646513 + 0.01107621901137465 = 0.021592704588021164
+Error: 0.021592704588021178
+Bias^2: 0.010516485576646504
+Var: 0.01107621901137467
+0.021592704588021178 >= 0.010516485576646504 + 0.01107621901137467 = 0.021592704588021174
 Polynomial degree: 11
-Error: 0.07160048164232467
-Bias^2: 0.014436800088896274
-Var: 0.057163681553428394
-0.07160048164232467 >= 0.014436800088896274 + 0.057163681553428394 = 0.07160048164232467
+Error: 0.07160048164232538
+Bias^2: 0.014436800088896381
+Var: 0.05716368155342902
+0.07160048164232538 >= 0.014436800088896381 + 0.05716368155342902 = 0.0716004816423254
 Polynomial degree: 12
-Error: 0.11547777218875695
-Bias^2: 0.016285782696017055
-Var: 0.0991919894927399
-0.11547777218875695 >= 0.016285782696017055 + 0.0991919894927399 = 0.11547777218875696
+Error: 0.11547777218876518
+Bias^2: 0.016285782696017142
+Var: 0.09919198949274803
+0.11547777218876518 >= 0.016285782696017142 + 0.09919198949274803 = 0.11547777218876518
 Polynomial degree: 13
-Error: 0.2284246870217459
-Bias^2: 0.019754165271682844
-Var: 0.20867052175006306
-0.2284246870217459 >= 0.019754165271682844 + 0.20867052175006306 = 0.2284246870217459
+Error: 0.2284246870217162
+Bias^2: 0.01975416527168255
+Var: 0.20867052175003364
+0.2284246870217162 >= 0.01975416527168255 + 0.20867052175003364 = 0.2284246870217162
 

 

-_images/chapter3_62_3.png
+_images/chapter3_62_2.png

The bias-variance tradeoff summarizes the fundamental tension in @@ -1366,7 +1466,9 @@ training data. 

Degree of polynomial:   1
-Mean squared error on training data: 439230.69504801
+
+
+
Mean squared error on training data: 439230.69504801
 Mean squared error on test data: 481979.17861098
 Degree of polynomial:   2
 Mean squared error on training data: 115822.95008046
@@ -1383,12 +1485,12 @@ Mean squared error on test data: 5.98822371
 Degree of polynomial:   6
 Mean squared error on training data: 3.66204648
 Mean squared error on test data: 8.14812206
-
-
-
Degree of polynomial:   7
+Degree of polynomial:   7
 Mean squared error on training data: 0.47075725
 Mean squared error on test data: 2.00607783
-Degree of polynomial:   8
+
+
+
Degree of polynomial:   8
 Mean squared error on training data: 0.04912436
 Mean squared error on test data: 0.21596432
 Degree of polynomial:   9
@@ -1403,72 +1505,72 @@ Mean squared error on test data: 1.35533773
 Degree of polynomial:  12
 Mean squared error on training data: 0.00813803
 Mean squared error on test data: 0.17446471
-
-
-
Degree of polynomial:  13
+Degree of polynomial:  13
 Mean squared error on training data: 0.00759119
 Mean squared error on test data: 1.08131003
 Degree of polynomial:  14
 Mean squared error on training data: 0.00472199
 Mean squared error on test data: 0.81333804
-Degree of polynomial:  15
+
+
+
Degree of polynomial:  15
 Mean squared error on training data: 0.00410478
-Mean squared error on test data: 92.09172408
+Mean squared error on test data: 92.09172409
 Degree of polynomial:  16
 Mean squared error on training data: 0.00315593
-Mean squared error on test data: 234.38533184
+Mean squared error on test data: 234.38533185
 Degree of polynomial:  17
 Mean squared error on training data: 0.00242999
-Mean squared error on test data: 1271.35771842
+Mean squared error on test data: 1271.35771826
 Degree of polynomial:  18
-Mean squared error on training data: 0.00228741
-Mean squared error on test data: 108.27092897
-
-
-
Degree of polynomial:  19
-Mean squared error on training data: 0.00156382
-Mean squared error on test data: 1371.99049330
+Mean squared error on training data: 0.00228742
+Mean squared error on test data: 108.27092910
+Degree of polynomial:  19
+Mean squared error on training data: 0.00156376
+Mean squared error on test data: 1371.99051150
 Degree of polynomial:  20
-Mean squared error on training data: 0.00137823
-Mean squared error on test data: 1887.85953586
-Degree of polynomial:  21
-Mean squared error on training data: 0.00118504
-Mean squared error on test data: 14859.70127680
+Mean squared error on training data: 0.00137818
+Mean squared error on test data: 1887.86252988
+
+
+
Degree of polynomial:  21
+Mean squared error on training data: 0.00118508
+Mean squared error on test data: 14859.69908626
 Degree of polynomial:  22
-Mean squared error on training data: 0.00092645
-Mean squared error on test data: 876.51214899
+Mean squared error on training data: 0.00092647
+Mean squared error on test data: 876.51191552
 Degree of polynomial:  23
-Mean squared error on training data: 0.00085883
-Mean squared error on test data: 5594.60685864
+Mean squared error on training data: 0.00085889
+Mean squared error on test data: 5594.60815105
 Degree of polynomial:  24
-Mean squared error on training data: 0.00084711
-Mean squared error on test data: 1277.60619654
-
-
-
Degree of polynomial:  25
-Mean squared error on training data: 0.00079130
-Mean squared error on test data: 128664.09744272
+Mean squared error on training data: 0.00084705
+Mean squared error on test data: 1277.61702282
+Degree of polynomial:  25
+Mean squared error on training data: 0.00079129
+Mean squared error on test data: 128664.31650694
 Degree of polynomial:  26
-Mean squared error on training data: 0.00076919
-Mean squared error on test data: 19003.95079764
-Degree of polynomial:  27
-Mean squared error on training data: 0.00068941
-Mean squared error on test data: 2379.66226149
-Degree of polynomial:  28
-Mean squared error on training data: 0.00062582
-Mean squared error on test data: 4082.19994371
-Degree of polynomial:  29
-Mean squared error on training data: 0.00060708
-Mean squared error on test data: 3250.24770094
+Mean squared error on training data: 0.00076905
+Mean squared error on test data: 19003.94822514
-
<ipython-input-7-40a38ad763f1>:73: RuntimeWarning: divide by zero encountered in log10
+
Degree of polynomial:  27
+Mean squared error on training data: 0.00068946
+Mean squared error on test data: 2379.66219404
+Degree of polynomial:  28
+Mean squared error on training data: 0.00062595
+Mean squared error on test data: 4082.19983530
+Degree of polynomial:  29
+Mean squared error on training data: 0.00060705
+Mean squared error on test data: 3250.17647619
+

+

+
/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/626635268.py:73: RuntimeWarning: divide by zero encountered in log10
   plt.plot(polynomial, np.log10(trainingerror), label='Training Error')
-<ipython-input-7-40a38ad763f1>:74: RuntimeWarning: divide by zero encountered in log10
+/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/626635268.py:74: RuntimeWarning: divide by zero encountered in log10
   plt.plot(polynomial, np.log10(testerror), label='Test Error')
 

 

-_images/chapter3_65_6.png
+_images/chapter3_65_7.png
@@ -1698,7 +1800,7 @@ cross-validation (LOOCV).

-
<ipython-input-9-6e75736fdab1>:63: RuntimeWarning: divide by zero encountered in log10
+
/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3817475779.py:63: RuntimeWarning: divide by zero encountered in log10
   plt.plot(polynomial, np.log10(estimated_mse_sklearn), label='Test Error')
 

 

@@ -1962,9 +2064,9 @@ Note also that we do not split the data into training and test.

 Fitted beta: [2.08376632 0.19569961 3.97898392]
 Sklearn fitted beta: [2.08376632 0.19569961 3.97898392]
 MSE with intercept column
-0.00411363461744314
+0.004113634617443139
 MSE with intercept column from SKL
-0.004113634617443116
+0.004113634617443147
 Manual intercept: 2.083766322923899
 Fitted beta (wiothout intercept): [0.19569961 3.97898392]
 Sklearn intercept: 2.0837663229239043
@@ -2083,9 +2185,9 @@ intercept.

 
Beta values for own Ridge implementation
 [ 1.03032441e+00  6.28336218e-02 -6.24175744e-01  5.21169159e-02
   2.80847477e-01  2.12552073e-01  8.13220608e-02 -1.69634577e-02
- -6.50846111e-02 -7.38962192e-02 -5.94226022e-02 -3.50227564e-02
- -9.80609616e-03  1.08299273e-02  2.41882036e-02  2.93492130e-02
-  2.64742912e-02  1.63249532e-02 -5.01831036e-05 -2.15098090e-02]
+ -6.50846112e-02 -7.38962192e-02 -5.94226022e-02 -3.50227564e-02
+ -9.80609616e-03  1.08299273e-02  2.41882037e-02  2.93492130e-02
+  2.64742912e-02  1.63249532e-02 -5.01831251e-05 -2.15098090e-02]
 Beta values for Scikit-Learn Ridge implementation
 [ 1.03032441e+00  6.28336218e-02 -6.24175744e-01  5.21169159e-02
   2.80847477e-01  2.12552073e-01  8.13220608e-02 -1.69634577e-02
@@ -2093,7 +2195,7 @@ Beta values for Scikit-Learn Ridge implementation
  -9.80609615e-03  1.08299273e-02  2.41882037e-02  2.93492130e-02
   2.64742912e-02  1.63249532e-02 -5.01831207e-05 -2.15098090e-02]
 MSE values for own Ridge implementation
-4.363295924430451e-07
+4.3632959215700067e-07
 MSE values for Scikit-Learn Ridge implementation
 4.363295916323784e-07
 Beta values for own Ridge implementation
@@ -2107,7 +2209,7 @@ Beta values for Scikit-Learn Ridge implementation
  -0.05009826 -0.04389027 -0.03279636 -0.01866537 -0.00289724  0.01348565
   0.02976145  0.04543942]
 MSE values for own Ridge implementation
-5.19404282648955e-06
+5.194042827197027e-06
 MSE values for Scikit-Learn Ridge implementation
 5.1940428268204826e-06
 Beta values for own Ridge implementation
@@ -2121,7 +2223,7 @@ Beta values for Scikit-Learn Ridge implementation
   0.00107405 -0.00526348 -0.00992331 -0.01318643 -0.01531845 -0.01655318
  -0.01708852 -0.01708781]
 MSE values for own Ridge implementation
-2.094082198966615e-05
+2.0940821989643363e-05
 MSE values for Scikit-Learn Ridge implementation
 2.094082198961999e-05
 Beta values for own Ridge implementation
@@ -2135,7 +2237,7 @@ Beta values for Scikit-Learn Ridge implementation
   0.01458337  0.01223198  0.00996754  0.00784393  0.00588657  0.00410387
   0.00249435  0.00105081]
 MSE values for own Ridge implementation
-0.0003153514830958235
+0.0003153514830957865
 MSE values for Scikit-Learn Ridge implementation
 0.00031535148309580783
 Beta values for own Ridge implementation
@@ -2151,7 +2253,7 @@ Beta values for Scikit-Learn Ridge implementation
  -1.84923989e-03 -8.13661243e-04  7.46984697e-06  6.56636616e-04
   1.16805821e-03  1.56912044e-03  1.88168312e-03  2.12318726e-03]
 MSE values for own Ridge implementation
-0.015072388895177239
+0.015072388895177157
 MSE values for Scikit-Learn Ridge implementation
 0.0150723888951771
 Beta values for own Ridge implementation
@@ -2165,7 +2267,7 @@ Beta values for Scikit-Learn Ridge implementation
  0.00719176 0.00630331 0.00556826 0.0049544  0.00443743 0.0039987
  0.0036237  0.003301  ]
 MSE values for own Ridge implementation
-0.26409315307910053
+0.26409315307910036
 MSE values for Scikit-Learn Ridge implementation
 0.26409315307910025
 

@@ -2266,7 +2368,7 @@ Let us see how we can change this code by zero centering.

   2.18613217e-01  1.02054837e-01 -4.25617658e-04 -5.90475506e-02
  -7.68534263e-02 -6.68929213e-02 -4.24906604e-02 -1.40927184e-02
   1.11482289e-02  2.88529063e-02  3.67047975e-02  3.38135733e-02
-  2.02198702e-02 -3.46383925e-03 -3.63025821e-02]
+  2.02198703e-02 -3.46383925e-03 -3.63025821e-02]
 Beta values for Scikit-Learn Ridge implementation
 [ 3.43579948e-02 -5.43330971e-01 -3.10141413e-03  2.47116868e-01
   2.18613217e-01  1.02054837e-01 -4.25617654e-04 -5.90475506e-02
@@ -2274,11 +2376,11 @@ Beta values for Scikit-Learn Ridge implementation
   1.11482289e-02  2.88529063e-02  3.67047975e-02  3.38135733e-02
   2.02198702e-02 -3.46383925e-03 -3.63025821e-02]
 Intercept from own implementation:
-1.0330308045190182
+1.0330308045188872
 Intercept from Scikit-Learn Ridge implementation
 1.0330308045183219
 MSE values for own Ridge implementation
-3.13925595925919e-06
+3.1392559591206444e-06
 MSE values for Scikit-Learn Ridge implementation
 3.1392559585048734e-06
 Beta values for own Ridge implementation
@@ -2292,11 +2394,11 @@ Beta values for Scikit-Learn Ridge implementation
  -0.04355837 -0.03562355 -0.02348765 -0.00848904  0.00831018  0.0260906
   0.04423486]
 Intercept from own implementation:
-1.041148729430502
+1.041148729430595
 Intercept from Scikit-Learn Ridge implementation
 1.041148729430523
 MSE values for own Ridge implementation
-1.9601304850018328e-05
+1.96013048502692e-05
 MSE values for Scikit-Learn Ridge implementation
 1.960130485007504e-05
 Beta values for own Ridge implementation
@@ -2310,11 +2412,11 @@ Beta values for Scikit-Learn Ridge implementation
  -0.00440346 -0.00917248 -0.01231917 -0.01405935 -0.0146081  -0.01416528
  -0.01290947]
 Intercept from own implementation:
-1.0495569966278238
+1.0495569966278295
 Intercept from Scikit-Learn Ridge implementation
 1.0495569966278269
 MSE values for own Ridge implementation
-5.4959161509356135e-05
+5.4959161509377256e-05
 MSE values for Scikit-Learn Ridge implementation
 5.495916150936645e-05
 Beta values for own Ridge implementation
@@ -2328,11 +2430,11 @@ Beta values for Scikit-Learn Ridge implementation
   0.00817631  0.00472512  0.00149311 -0.00149956 -0.00424967 -0.00676387
  -0.00905423]
 Intercept from own implementation:
-1.0399676689527968
+1.0399676689527966
 Intercept from Scikit-Learn Ridge implementation
 1.0399676689527975
 MSE values for own Ridge implementation
-7.571105947979336e-05
+7.571105947979352e-05
 MSE values for Scikit-Learn Ridge implementation
 7.571105947979394e-05
 Beta values for own Ridge implementation
@@ -2346,7 +2448,7 @@ Beta values for Scikit-Learn Ridge implementation
   0.00579953  0.006162    0.00642221  0.00660427  0.00672607  0.0068011
   0.00683964]
 Intercept from own implementation:
-0.9999555851685968
+0.999955585168597
 Intercept from Scikit-Learn Ridge implementation
 0.999955585168597
 MSE values for own Ridge implementation
@@ -2587,9 +2689,9 @@ linear system as an equation would reduce this down to
-
<ipython-input-20-6f7a6bd7d79f>:6: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
+
/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/4162706317.py:6: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
   cb = fig.colorbar(im)
-<ipython-input-20-6f7a6bd7d79f>:7: UserWarning: FixedFormatter should only be used together with FixedLocator
+/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/4162706317.py:7: UserWarning: FixedFormatter should only be used together with FixedLocator
   cb.ax.set_yticklabels(cb.ax.get_yticklabels(), fontsize=18)
 

 

@@ -2733,9 +2835,9 @@ with the form utilized in linear regression, viz.
-
<ipython-input-25-5dd54edf2138>:6: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
+
/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3777801602.py:6: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
   cb = fig.colorbar(im)
-<ipython-input-25-5dd54edf2138>:7: UserWarning: FixedFormatter should only be used together with FixedLocator
+/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3777801602.py:7: UserWarning: FixedFormatter should only be used together with FixedLocator
   cb.ax.set_yticklabels(cb.ax.get_yticklabels(), fontsize=18)
 

 

@@ -2783,9 +2885,9 @@ K
-
<ipython-input-26-fe5b9d300cc0>:9: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
+
/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/438060758.py:9: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
   cb = fig.colorbar(im)
-<ipython-input-26-fe5b9d300cc0>:10: UserWarning: FixedFormatter should only be used together with FixedLocator
+/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/438060758.py:10: UserWarning: FixedFormatter should only be used together with FixedLocator
   cb.ax.set_yticklabels(cb.ax.get_yticklabels(), fontsize=18)
 

 

@@ -2820,9 +2922,9 @@ K
-
<ipython-input-27-25845e8df859>:8: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
+
/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3544313922.py:8: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
   cb = fig.colorbar(im)
-<ipython-input-27-25845e8df859>:9: UserWarning: FixedFormatter should only be used together with FixedLocator
+/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3544313922.py:9: UserWarning: FixedFormatter should only be used together with FixedLocator
   cb.ax.set_yticklabels(cb.ax.get_yticklabels(), fontsize=18)
 

 

@@ -2875,43 +2977,43 @@ constant as opposed to ridge and OLS. We get a sparse solution with
-
  0%|          | 0/10 [00:00<?, ?it/s]
+
  0%|                                                                                                                              | 0/10 [00:00<?, ?it/s]
 

 

 
/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.924e+00, tolerance: 1.797e+00
   model = cd_fast.enet_coordinate_descent(
 
- 10%|█         | 1/10 [00:00<00:06,  1.50it/s]
+ 10%|███████████▊                                                                                                          | 1/10 [00:00<00:06,  1.32it/s]
 

 

-
 20%|██        | 2/10 [00:01<00:03,  2.11it/s]
+
 20%|███████████████████████▌                                                                                              | 2/10 [00:01<00:05,  1.39it/s]
 

 

-
 30%|███       | 3/10 [00:01<00:02,  3.06it/s]
+
 30%|███████████████████████████████████▍                                                                                  | 3/10 [00:01<00:03,  1.83it/s]
 

 

-
 40%|████      | 4/10 [00:01<00:01,  4.00it/s]
+
 40%|███████████████████████████████████████████████▏                                                                      | 4/10 [00:01<00:02,  2.44it/s]
 

 

-
 50%|█████     | 5/10 [00:01<00:01,  4.87it/s]
+
 50%|███████████████████████████████████████████████████████████                                                           | 5/10 [00:02<00:01,  3.02it/s]
 

 

-
 60%|██████    | 6/10 [00:01<00:00,  5.73it/s]
+
 60%|██████████████████████████████████████████████████████████████████████▊                                               | 6/10 [00:02<00:01,  3.70it/s]
 

 

-
 70%|███████   | 7/10 [00:01<00:00,  6.34it/s]
+
 70%|██████████████████████████████████████████████████████████████████████████████████▌                                   | 7/10 [00:02<00:00,  4.31it/s]
 

 

-
 80%|████████  | 8/10 [00:01<00:00,  6.22it/s]
+
 80%|██████████████████████████████████████████████████████████████████████████████████████████████▍                       | 8/10 [00:02<00:00,  4.48it/s]
 

 

-
 90%|█████████ | 9/10 [00:01<00:00,  6.41it/s]
+
 90%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▏           | 9/10 [00:02<00:00,  4.92it/s]
 

 

-
100%|██████████| 10/10 [00:02<00:00,  6.14it/s]
+
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:02<00:00,  5.65it/s]
 

 

-
100%|██████████| 10/10 [00:02<00:00,  4.66it/s]
+
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:02<00:00,  3.37it/s]
 

 

 

@@ -3058,9 +3160,9 @@ which polynomial fits the data best.

 

 

 

-
<ipython-input-30-bc298b802fe2>:9: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
+
/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3980313467.py:9: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
   ax = fig.gca(projection='3d')
-<ipython-input-30-bc298b802fe2>:37: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
+/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3980313467.py:37: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.
   fig.colorbar(surf, shrink=0.5, aspect=5)
 

 

@@ -3221,7 +3323,7 @@ Python program using

 

 
---------------------------------------------------------------------------
 NameError                                 Traceback (most recent call last)
-<ipython-input-31-d985fb40c43d> in <module>
+Input In [31], in <cell line: 1>()
 ----> 1 scipy.misc.imread
 
 NameError: name 'scipy' is not defined
@@ -3293,54 +3395,42 @@ of data presented here (either the terrain data we propose or other data sets).<
 
               

               
-        
             
-
-
-
-

-    
-    
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/chapter4.html b/doc/LectureNotes/_build/html/chapter4.html
index 13316222e..c72d38972 100644
--- a/doc/LectureNotes/_build/html/chapter4.html
+++ b/doc/LectureNotes/_build/html/chapter4.html
@@ -7,8 +7,8 @@
     
     6. Logistic Regression — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -339,7 +345,50 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Logistic Regression

+                
+                

+                    
+                

+            

+            
               

                 
   

@@ -1052,9 +1101,9 @@ Please also refer to the documentation for alternative solver options:
 

 
---------------------------------------------------------------------------
 ModuleNotFoundError                       Traceback (most recent call last)
-<ipython-input-8-12adb44b1c20> in <module>
-     34 
-     35 
+Input In [8], in <cell line: 36>()
+     32 print(accuracy)
+     33 print("Test set accuracy with Logistic Regression  and scaled data: {:.2f}".format(logreg.score(X_test_scaled,y_test)))
 ---> 36 import scikitplot as skplt
      37 y_pred = logreg.predict(X_test_scaled)
      38 skplt.metrics.plot_confusion_matrix(y_test, y_pred, normalize=True)
@@ -1089,54 +1138,42 @@ Please also refer to the documentation for alternative solver options:
 
               

               
-        
             
-
-
-
-

-    
-    
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/chapter5.html b/doc/LectureNotes/_build/html/chapter5.html
index 80e5afcd2..76d73571c 100644
--- a/doc/LectureNotes/_build/html/chapter5.html
+++ b/doc/LectureNotes/_build/html/chapter5.html
@@ -7,8 +7,8 @@
     
     8. Support Vector Machines, overarching aims — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -361,7 +367,72 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Support Vector Machines, overarching aims

+                
+                

+                    
+                

+            

+            
               

                 
   

@@ -1277,7 +1348,7 @@ converge. So, welcome to the promised land of quadratic programming.

 

 
---------------------------------------------------------------------------
 ModuleNotFoundError                       Traceback (most recent call last)
-<ipython-input-4-703716d317a7> in <module>
+Input In [4], in <cell line: 2>()
       1 import numpy
 ----> 2 import cvxopt
 
@@ -1388,54 +1459,42 @@ With  the slack constants this leads to the additional constraint 
-        
-            
-            

-                
previous

-                
7. Optimization, the central part of any Machine Learning algortithm

-            

-        
+                
+
 
+    
+        
+        

+            
previous

+            
7. Optimization, the central part of any Machine Learning algortithm

+        

+    
+    
+    

+        
next

+        
9. Decision trees, overarching aims

     

-     
-
+    
+    
 

-        
+            
         

     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/chapter6.html b/doc/LectureNotes/_build/html/chapter6.html
index d8b307c4f..3f80fa6dd 100644
--- a/doc/LectureNotes/_build/html/chapter6.html
+++ b/doc/LectureNotes/_build/html/chapter6.html
@@ -7,8 +7,8 @@
     
     9. Decision trees, overarching aims — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -414,7 +420,125 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Decision trees, overarching aims

+                
+                

+                    
+                

+            

+            
               

                 
   

@@ -564,9 +688,9 @@ predicting the target features of query instances is as follows:

 

 

 
2nd degree coefficients:
-zero power:  3.975510299261579
-first power:  -0.12345260617257443
-second power:  -0.0003043256065368937
+zero power:  0.18790439176058887
+first power:  -0.014599964106338128
+second power:  0.00010403373827253124
 

 

 _images/chapter6_1_1.png
@@ -801,9 +925,9 @@ s = -\sum_{k=1}^K p_{mk}\log{p_{mk}}.
 

 
---------------------------------------------------------------------------
 ModuleNotFoundError                       Traceback (most recent call last)
-<ipython-input-2-7c394b1e8b71> in <module>
-      7 
-      8 from IPython.display import Image
+Input In [2], in <cell line: 9>()
+      6 from sklearn.tree import export_graphviz
+      8 from IPython.display import Image 
 ----> 9 from pydot import graph_from_dot_data
      10 import pandas as pd
      11 import numpy as np
@@ -1435,54 +1559,42 @@ trees can be substantially improved.

 
               

               
-        
             
-
-
-
-

-    
-    
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/chapter7.html b/doc/LectureNotes/_build/html/chapter7.html
index ab0d971ae..a4134fde8 100644
--- a/doc/LectureNotes/_build/html/chapter7.html
+++ b/doc/LectureNotes/_build/html/chapter7.html
@@ -7,8 +7,8 @@
     
     10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -395,7 +401,106 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods

+                
+                

+                    
+                

+            

+            
               

                 
   

@@ -473,12 +578,11 @@ predictor, averaged over all \(B\)
 
---------------------------------------------------------------------------
 NameError                                 Traceback (most recent call last)
-<ipython-input-1-eface79dac2c> in <module>
+Input In [1], in <cell line: 2>()
       1 heads_proba = 0.51
 ----> 2 coin_tosses = (np.random.rand(10000, 10) < heads_proba).astype(np.int32)
       3 cumulative_heads_ratio = np.cumsum(coin_tosses, axis=0) / np.arange(1, 10001).reshape(-1, 1)
       4 plt.figure(figsize=(8,3.5))
-      5 plt.plot(cumulative_heads_ratio)
 
 NameError: name 'np' is not defined
 

@@ -1445,54 +1549,42 @@ sketch for efficient proposal calculation. It introduces a novel sparsity-aware
 
               

               
-        
             
-
-
-
-

-    
-    
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/chapter8.html b/doc/LectureNotes/_build/html/chapter8.html
index 6f28965d2..3356d10f5 100644
--- a/doc/LectureNotes/_build/html/chapter8.html
+++ b/doc/LectureNotes/_build/html/chapter8.html
@@ -7,8 +7,8 @@
     
     11. Basic ideas of the Principal Component Analysis (PCA) — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -388,7 +394,99 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Basic ideas of the Principal Component Analysis (PCA)

+                
+                

+                    
+                

+            

+            
               

                 
   

@@ -544,10 +642,10 @@ covariance matrix through the np.linalg.eig() function.

 

 

 

-
0.03382304823545749
-4.021250026482402
-[[0.9252772  2.69061276]
- [2.69061276 8.90540529]]
+
0.046785461905835435
+4.240670854503034
+[[0.94986593 2.88137798]
+ [2.88137798 9.93586895]]
 

 

 

@@ -587,10 +685,10 @@ a more brute force way. Here we scale the mean values for each column of the des
 

 

 

-
0.08328216846752691
-2.094472507965532
-[[1.         0.67697934]
- [0.67697934 1.        ]]
+
0.08271198519070039
+1.7306310662842432
+[[1.         0.58084359]
+ [0.58084359 1.        ]]
 

 

 

@@ -619,30 +717,30 @@ this matrix we easily see that it is a positive definite matrix.

 

 

 

-
[[ 2.38295101  5.51289697]
- [ 0.51803019  2.61399851]
- [-1.09849763 -1.02255619]
- [-0.54016188 -0.53794784]
- [ 0.28634473  1.32721178]
- [-1.66619972 -6.88017651]
- [ 1.52811546  4.29512284]
- [ 0.427017    2.43493232]
- [-0.80842254 -4.37964744]
- [-1.02917662 -3.36383443]]
+
[[-0.50488131 -2.2493023 ]
+ [-0.26115367 -1.92631966]
+ [-1.43556723 -2.99992698]
+ [ 0.64528459  2.57643113]
+ [-0.55273102 -2.09964817]
+ [ 0.31681097  1.26466619]
+ [-0.04673082 -0.56607416]
+ [ 1.53394148  5.38629412]
+ [ 0.15092012 -0.22014758]
+ [ 0.15410688  0.83402742]]
           0         1
-0  2.382951  5.512897
-1  0.518030  2.613999
-2 -1.098498 -1.022556
-3 -0.540162 -0.537948
-4  0.286345  1.327212
-5 -1.666200 -6.880177
-6  1.528115  4.295123
-7  0.427017  2.434932
-8 -0.808423 -4.379647
-9 -1.029177 -3.363834
-          0         1
-0  1.000000  0.930583
-1  0.930583  1.000000
+0 -0.504881 -2.249302
+1 -0.261154 -1.926320
+2 -1.435567 -2.999927
+3  0.645285  2.576431
+4 -0.552731 -2.099648
+5  0.316811  1.264666
+6 -0.046731 -0.566074
+7  1.533941  5.386294
+8  0.150920 -0.220148
+9  0.154107  0.834027
+         0        1
+0  1.00000  0.95302
+1  0.95302  1.00000
 

 

 

@@ -699,37 +797,37 @@ this matrix we easily see that it is a positive definite matrix.

 

 
     0         1         2         3         4         5         6         7   \
 0   0.0  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   
-1   0.0  0.086074  0.080593  0.088526  0.083276  0.078269  0.081046  0.076604   
-2   0.0  0.080593  0.076130  0.082896  0.078254  0.073810  0.076216  0.072216   
-3   0.0  0.088526  0.082896  0.096472  0.091051  0.085879  0.091696  0.086956   
-4   0.0  0.083276  0.078254  0.091051  0.086112  0.081388  0.086890  0.082536   
-5   0.0  0.078269  0.073810  0.085879  0.081388  0.077083  0.082295  0.078299   
-6   0.0  0.081046  0.076216  0.091696  0.086890  0.082295  0.089501  0.085163   
-7   0.0  0.076604  0.072216  0.086956  0.082536  0.078299  0.085163  0.081144   
-8   0.0  0.072442  0.068461  0.082503  0.078436  0.074530  0.081072  0.077349   
-9   0.0  0.068538  0.064931  0.078314  0.074573  0.070972  0.077211  0.073761   
-10  0.0  0.073062  0.069085  0.084862  0.080738  0.076780  0.084484  0.080647   
-11  0.0  0.069275  0.065641  0.080706  0.076895  0.073230  0.080582  0.077013   
-12  0.0  0.065730  0.062411  0.076804  0.073280  0.069884  0.076905  0.073583   
-13  0.0  0.062409  0.059378  0.073136  0.069877  0.066729  0.073436  0.070343   
-14  0.0  0.059294  0.056528  0.069685  0.066670  0.063752  0.070163  0.067282   
+1   0.0  0.088104  0.081216  0.088760  0.086997  0.085010  0.080343  0.079306   
+2   0.0  0.081216  0.075612  0.080764  0.079618  0.078300  0.072530  0.071897   
+3   0.0  0.088760  0.080764  0.094925  0.092249  0.089310  0.089233  0.087615   
+4   0.0  0.086997  0.079618  0.092249  0.089982  0.087470  0.086257  0.084927   
+5   0.0  0.085010  0.078300  0.089310  0.087470  0.085410  0.083021  0.081989   
+6   0.0  0.080343  0.072530  0.089233  0.086257  0.083021  0.086109  0.084269   
+7   0.0  0.079306  0.071897  0.087615  0.084927  0.081989  0.084269  0.082642   
+8   0.0  0.078323  0.071329  0.086021  0.083629  0.080998  0.082431  0.081022   
+9   0.0  0.077372  0.070810  0.084426  0.082339  0.080026  0.080571  0.079383   
+10  0.0  0.071946  0.064637  0.081990  0.079001  0.075770  0.080642  0.078768   
+11  0.0  0.071044  0.064041  0.080699  0.077930  0.074922  0.079218  0.077511   
+12  0.0  0.070222  0.063524  0.079476  0.076927  0.074144  0.077846  0.076306   
+13  0.0  0.069475  0.063084  0.078314  0.075987  0.073433  0.076518  0.075145   
+14  0.0  0.068799  0.062719  0.077203  0.075102  0.072783  0.075222  0.074019   
 
           8         9         10        11        12        13        14  
 0   0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  
-1   0.072442  0.068538  0.073062  0.069275  0.065730  0.062409  0.059294  
-2   0.068461  0.064931  0.069085  0.065641  0.062411  0.059378  0.056528  
-3   0.082503  0.078314  0.084862  0.080706  0.076804  0.073136  0.069685  
-4   0.078436  0.074573  0.080738  0.076895  0.073280  0.069877  0.066670  
-5   0.074530  0.070972  0.076780  0.073230  0.069884  0.066729  0.063752  
-6   0.081072  0.077211  0.084484  0.080582  0.076905  0.073436  0.070163  
-7   0.077349  0.073761  0.080647  0.077013  0.073583  0.070343  0.067282  
-8   0.073827  0.070492  0.077015  0.073629  0.070429  0.067402  0.064538  
-9   0.070492  0.067392  0.073575  0.070419  0.067432  0.064604  0.061923  
-10  0.077015  0.073575  0.080984  0.077452  0.074111  0.070950  0.067956  
-11  0.073629  0.070419  0.077452  0.074149  0.071022  0.068059  0.065249  
-12  0.070429  0.067432  0.074111  0.071022  0.068093  0.065314  0.062676  
-13  0.067402  0.064604  0.070950  0.068059  0.065314  0.062706  0.060228  
-14  0.064538  0.061923  0.067956  0.065249  0.062676  0.060228  0.057899  
+1   0.078323  0.077372  0.071946  0.071044  0.070222  0.069475  0.068799  
+2   0.071329  0.070810  0.064637  0.064041  0.063524  0.063084  0.062719  
+3   0.086021  0.084426  0.081990  0.080699  0.079476  0.078314  0.077203  
+4   0.083629  0.082339  0.079001  0.077930  0.076927  0.075987  0.075102  
+5   0.080998  0.080026  0.075770  0.074922  0.074144  0.073433  0.072783  
+6   0.082431  0.080571  0.080642  0.079218  0.077846  0.076518  0.075222  
+7   0.081022  0.079383  0.078768  0.077511  0.076306  0.075145  0.074019  
+8   0.079622  0.078211  0.076886  0.075797  0.074760  0.073768  0.072813  
+9   0.078211  0.077033  0.074969  0.074050  0.073183  0.072364  0.071585  
+10  0.076886  0.074969  0.076632  0.075201  0.073811  0.072452  0.071115  
+11  0.075797  0.074050  0.075201  0.073904  0.072647  0.071421  0.070216  
+12  0.074760  0.073183  0.073811  0.072647  0.071523  0.070428  0.069355  
+13  0.073768  0.072364  0.072452  0.071421  0.070428  0.069465  0.068525  
+14  0.072813  0.071585  0.071115  0.070216  0.069355  0.068525  0.067719  
 

 

 

@@ -918,10 +1016,10 @@ We can write our own code or simply use either the functionaly of numpy<
 

 

 
          0         1
-0  4.038506  2.027865
-1  2.027865  2.037559
-[[4.03850557 2.02786488]
- [2.02786488 2.03755944]]
+0  3.967536  1.983164
+1  1.983164  2.000755
+[[3.9675364  1.98316352]
+ [1.98316352 2.00075534]]
 

 

 

@@ -948,8 +1046,8 @@ Our own code here is not very elegant and asks for obvious improvements. It is t
 

 

 
Centered covariance using own code
-[[4.03850557 2.02786488]
- [2.02786488 2.03755944]]
+[[3.9675364  1.98316352]
+ [1.98316352 2.00075534]]
 

 

 _images/chapter8_65_1.png
@@ -1009,16 +1107,16 @@ questions.

 

 

 
Eigenvalues of Covariance matrix
-5.299267190588216
-0.7767978193240488
+5.197738983259782
+0.7705527590466072
 First eigenvector
-[0.84924834 0.52799362]
+[0.84977962 0.52713812]
 Second eigenvector
-[-0.52799362  0.84924834]
+[-0.52713812  0.84977962]
 

 

 
Eigenvector of largest eigenvalue
-[0.84924834 0.52799362]
+[-0.84977962 -0.52713812]
 

 

 

@@ -1242,16 +1340,16 @@ training set, then extracts the first two principal components. First we center
 7  0.0  0.0  0.0  0.0  0.0
 8  0.0  0.0  0.0  0.0  0.0
 9  0.0  0.0  0.0  0.0  0.0
-[[-1.5378811  -0.94639099]
- [ 0.86145244  0.89288636]
- [-0.00445655  0.81633628]
- [ 0.07145103 -1.00433417]
- [ 2.03707133 -0.48476997]
- [ 0.72174172 -1.4557763 ]
- [-0.55854694  1.60673226]
- [ 1.6999536   0.43766686]
- [-1.10405456  0.31718909]
- [-2.18673098 -0.17953942]]
+[[-1.5378811   0.94639099]
+ [ 0.86145244 -0.89288636]
+ [-0.00445655 -0.81633628]
+ [ 0.07145103  1.00433417]
+ [ 2.03707133  0.48476997]
+ [ 0.72174172  1.4557763 ]
+ [-0.55854694 -1.60673226]
+ [ 1.6999536  -0.43766686]
+ [-1.10405456 -0.31718909]
+ [-2.18673098  0.17953942]]
 

 

 

@@ -1475,54 +1573,42 @@ For example, the following code uses Scikit-Learn’s KernelPCA class to perform
 
               

               
-        
             
-
-
-
-

-    
-    
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/chapter9.html b/doc/LectureNotes/_build/html/chapter9.html
index 615bc8b45..5b5e72cac 100644
--- a/doc/LectureNotes/_build/html/chapter9.html
+++ b/doc/LectureNotes/_build/html/chapter9.html
@@ -7,8 +7,8 @@
     
     13. Neural networks — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -390,7 +396,101 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Neural networks

+                
+                

+                    
+                

+            

+            
               

                 
   

@@ -1140,54 +1240,42 @@ Here it is convenient to use stochastic gradient descent (see the examples below
 
               

               
-        
             
-
-
-
-

-    
-    
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/chapteroptimization.html b/doc/LectureNotes/_build/html/chapteroptimization.html
index a3fa38c97..d0ce220cc 100644
--- a/doc/LectureNotes/_build/html/chapteroptimization.html
+++ b/doc/LectureNotes/_build/html/chapteroptimization.html
@@ -7,8 +7,8 @@
     
     7. Optimization, the central part of any Machine Learning algortithm — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -407,7 +413,118 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Optimization, the central part of any Machine Learning algortithm

+                
+                

+                    
+                

+            

+            
               
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/clustering.html b/doc/LectureNotes/_build/html/clustering.html
index f639c62b2..68212adf7 100644
--- a/doc/LectureNotes/_build/html/clustering.html
+++ b/doc/LectureNotes/_build/html/clustering.html
@@ -7,8 +7,8 @@
     
     12. Clustering and Unsupervised Learning — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -319,7 +325,30 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Clustering and Unsupervised Learning

+                
+                

+                    

+                        
+                        

+                            
 Contents 

+                        

+                        
+                    

+                

+            

+            
               
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/genindex.html b/doc/LectureNotes/_build/html/genindex.html
index dccfddf20..321feeb59 100644
--- a/doc/LectureNotes/_build/html/genindex.html
+++ b/doc/LectureNotes/_build/html/genindex.html
@@ -7,8 +7,8 @@
     
     Index — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/intro.html b/doc/LectureNotes/_build/html/intro.html
index 3b5c6f4f1..cca8a66a4 100644
--- a/doc/LectureNotes/_build/html/intro.html
+++ b/doc/LectureNotes/_build/html/intro.html
@@ -7,8 +7,8 @@
     
     Applied Data Analysis and Machine Learning — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/linalg.html b/doc/LectureNotes/_build/html/linalg.html
index 4ba860b3f..045b24805 100644
--- a/doc/LectureNotes/_build/html/linalg.html
+++ b/doc/LectureNotes/_build/html/linalg.html
@@ -7,8 +7,8 @@
     
     2. Linear Algebra, Handling of Arrays and more Python Features — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -358,7 +364,69 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Linear Algebra, Handling of Arrays and more Python Features

+                
+                

+                    
+                

+            

+            
               
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/schedule.html b/doc/LectureNotes/_build/html/schedule.html
index 6bc064e95..5241e6711 100644
--- a/doc/LectureNotes/_build/html/schedule.html
+++ b/doc/LectureNotes/_build/html/schedule.html
@@ -7,8 +7,8 @@
     
     Teaching schedule with links to material — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/search.html b/doc/LectureNotes/_build/html/search.html
index c4c7b68e9..e90fb65a4 100644
--- a/doc/LectureNotes/_build/html/search.html
+++ b/doc/LectureNotes/_build/html/search.html
@@ -7,8 +7,8 @@
     
     Search — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
   
     
-    
+    
+    
+
+    
     
 
   
@@ -96,7 +102,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -118,7 +124,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -135,7 +141,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -172,7 +178,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -189,7 +195,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -206,7 +212,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -284,14 +290,24 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
         

     

 

     

         

-        
+            
+            

+                

+                
+                

+                    

+                        
+                    

+                

+            

+            
               

                 
   
Search

@@ -327,36 +343,28 @@ const thebe_selector_output = ".output, .cell_output"
 
               

               
-        
             
-
-
-
-

-    
-
+                
+

 

-        
+            
         

     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/searchindex.js b/doc/LectureNotes/_build/html/searchindex.js
index 2370480f8..5b7744572 100644
--- a/doc/LectureNotes/_build/html/searchindex.js
+++ b/doc/LectureNotes/_build/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({docnames:["chapter1","chapter10","chapter11","chapter12","chapter13","chapter2","chapter3","chapter4","chapter5","chapter6","chapter7","chapter8","chapter9","chapteroptimization","clustering","intro","linalg","schedule","statistics","teachers","textbooks"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.intersphinx":1,sphinx:56},filenames:["chapter1.ipynb","chapter10.ipynb","chapter11.ipynb","chapter12.ipynb","chapter13.ipynb","chapter2.ipynb","chapter3.ipynb","chapter4.ipynb","chapter5.ipynb","chapter6.ipynb","chapter7.ipynb","chapter8.ipynb","chapter9.ipynb","chapteroptimization.ipynb","clustering.ipynb","intro.md","linalg.ipynb","schedule.md","statistics.ipynb","teachers.md","textbooks.md"],objects:{},objnames:{},objtypes:{},terms:{"0":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,19],"00":[0,1,3,5,6,11,18],"000":[1,3],"0000":[],"00000":[],"000000":[5,11],"00000000e":5,"0000e":3,"0001":[1,3],"000148":[],"00019998":5,"00024087":5,"00028369228101198006":[],"00029012":5,"0003043256065368937":9,"00031535148309580783":6,"0003153514830958081":[],"0003153514830958126":[],"0003153514830958235":6,"00034944":5,"000417932":2,"00042089":5,"000464088":2,"00050694":5,"00058016":6,"000599":[],"00060705":[],"00060708":6,"00061058":5,"00062582":6,"00062595":[],"00066668":6,"00068734":6,"00068941":6,"00069103":[],"00073541":5,"00076495":6,"00076919":6,"00076925":[],"0007698473260556325":6,"0007698473260556334":[],"0007698473260556339":[],"0007698473260556344":6,"00079123":[],"00079130":6,"00079968":5,"00084705":[],"00084711":6,"00085883":6,"00085884":[],"00087697":6,"00088573":5,"00092645":6,"00092646":[],"00096314":5,"001":[1,2,8,13],"00100519":6,"0010479245355337968":[],"0010479245887943952":6,"00105081":6,"00106677":5,"00107405":6,"00111756":6,"0011526":6,"00115999":5,"0011828302640124":[],"00118504":6,"00118527":[],"001263":[],"00128479":5,"001323":6,"00137823":6,"00137835":[],"00139705":5,"00149311":6,"00149956":6,"00152117":6,"00154733":5,"00156379":[],"00156382":6,"00168251":5,"00174276":6,"00175331":6,"00186347":5,"001880":5,"001988":[],"00198806":[],"00200":8,"00202624":5,"00202756":6,"00217499":6,"00224413":5,"00228741":6,"00233155":[],"0023548":6,"002381316302584885":[],"002381316302584886":6,"0023813163025848865":6,"00242999":6,"00243186":6,"0024401":5,"00249435":6,"002526":[],"00266858":2,"00270244":5,"00274989":6,"00275135":[],"00289724":6,"00293838":5,"002948":[],"0030828":[],"003083":[],"00310113":2,"00312361":6,"00315593":6,"003215318065760509":[],"0032153180657605125":6,"00323332":6,"0032542":5,"003301":6,"003395515459204093":6,"0033955154592040944":[],"00353823":5,"0036237":6,"0036367":6,"00369758":6,"003704":[],"003717":[],"003759":[],"003774":[],"003788":[],"0038335":6,"00390021":[],"003909404072811217":6,"003909404072811231":[],"00391839":5,"0039987":6,"004":5,"004091940707753948":6,"0040919407077539514":[],"00410387":6,"00410478":6,"004113634617443116":6,"0041136346174431284":[],"004113634617443131":6,"004113634617443135":[],"00411363461744314":6,"004113634617443141":[],"004155986345861364":6,"004155986345861374":[],"00415763":[],"00424909":2,"00424967":6,"00426027":5,"00433417":11,"00440346":6,"00443743":6,"00445655":11,"004579219539673834":6,"004579219539673836":[],"00458878":6,"004610275230656187":6,"004610275230656294":[],"00462287":6,"00471782":5,"00472199":6,"00472512":6,"0049544":6,"004999999999999984":[],"004999999999999994":[],"004999999999999996":[],"005000000000000011":0,"00512927":5,"00517114":6,"00526348":6,"0053018":6,"00554552":6,"00556826":6,"0056799":5,"00577441":[],"00579953":6,"00588657":6,"00607783":6,"006162":6,"00617499":5,"00630331":6,"00642221":6,"00660427":6,"00672607":6,"00673393":13,"00673407":6,"00676387":6,"0068011":6,"00683748":5,"00683964":6,"007012403613997257":[],"007024126888936694":[],"0070241268889382116":6,"00719176":6,"00727646693":0,"007315":[],"0074331":5,"00751823":[],"00759119":6,"00784393":6,"00803064":6,"0080866254785146":[],"00813803":6,"00817631":6,"00823002":5,"00827728":6,"00831018":6,"00834567":6,"00848904":6,"0086649156":0,"008675369724975977":5,"008675369724976501":[],"00894639":5,"00905423":6,"009163470508352211":[],"009163470508352218":5,"009164545680330616":6,"00917248":6,"00934499":6,"009450756365829578":[],"0096208":6,"00990475":5,"00992331":6,"00996754":6,"009981":[],"00998135":[],"00it":6,"01":[0,1,2,5,6,9,11,13,18,20],"010018312644139205":6,"010018312644139347":[],"0100706":6,"01023891":[],"010239":[],"010331721306655144":6,"01033172130665515":[],"010516485576646513":6,"010516485576652856":[],"010530":[],"01053024":[],"01066519":6,"01076611":5,"0110":18,"0110407067093945":[],"01104071":[],"011076219011339788":[],"01107621901137465":6,"011225":2,"0113104":6,"01179792":6,"01191824":5,"01199624e":18,"012073649439965807":[],"012073649472576395":6,"01212754811385597":18,"01219292":6,"01223198":6,"01231917":6,"01257962":[],"012580":[],"012633802944855959":[],"01290947":6,"01295356":5,"013121573975499602":[],"013121573975499604":[],"01312157406137079":6,"013121574061370796":6,"01318643":6,"01347916":6,"01348565":6,"01367553":6,"01397146":6,"01405935":6,"01416528":6,"014209325470380275":[],"01433809":5,"014436800088896274":6,"014436800088969727":[],"01449782":6,"01458337":6,"0146081":6,"01463049":6,"015072388895177088":[],"0150723888951771":6,"015072388895177109":[],"015072388895177239":6,"01509543":13,"01530715721129232":[],"01531845":6,"01538461538462":[],"01549377":6,"01558197":5,"01591355407242949":[],"016285782696017055":6,"016285782696075054":[],"01633913":6,"01640891":6,"01655318":6,"016587414993037307":[],"016587414993045405":6,"01691985":6,"0169643":5,"01708781":6,"01708852":6,"01713366":6,"01724499":5,"01735584819559184":[],"017355848195591845":[],"017355848195593354":6,"01756972":[],"017665":5,"01799917e":18,"01817152":[],"018232":[],"01831036e":6,"01831130e":[],"01831200e":[],"01831207e":6,"01866537":6,"01869785e":18,"01873344":11,"01873869":5,"01898855":6,"01905883":6,"01908936":6,"019587":[],"01963611":6,"01969145":6,"019754165271682844":6,"01975416527179247":[],"01975848":6,"02":[0,4,6,7,12,18],"0202458":[],"020246":[],"02024962":6,"02054837e":6,"02068067":6,"02073509":5,"0209518407597062":18,"02098261":6,"02123176":6,"021250026482402":11,"02159270458799264":[],"021592704587992645":[],"021592704588021164":6,"021592704588021167":6,"02198702e":6,"022022882954618364":[],"022075":[],"02207532":[],"02208512":6,"02228115":6,"02229529":6,"02252765":5,"022556":11,"02255619":11,"02299949826036602":[],"0229994982603662":6,"02348765":6,"02354476":[],"023545":[],"02365049":6,"024023115996453476":[],"0245528":6,"02492265":5,"02493054":[],"02498832":6,"02503753":6,"02511518":6,"02522069":6,"025709":11,"02586427":6,"0260906":6,"02625193":8,"02625928":13,"026408391362671896":[],"02642055e":18,"026605727637176654":[],"02660572763718461":6,"026605727637184613":6,"02697521163514974":5,"026986":[],"02698605":[],"02707227":5,"02723445":6,"027609773491022314":[],"027609773491022387":6,"027609773491022407":6,"02762405215108776":[],"02786488":11,"027865":11,"02857":4,"02917662":11,"029177":11,"02926396":[],"029483":5,"029613363972682966":[],"029733":[],"02976145":6,"02994311":5,"02f":6,"03":[1,6],"03032441e":6,"030407120354722424":[],"03056589":[],"030566":[],"030693":[],"03069324":[],"03071040e":18,"03076923076924":[],"03077640549":4,"03099776":5,"031":5,"031846":[],"03184647":[],"03187339273559067":[],"03196357":6,"03251863":5,"03256632e":1,"03267527":6,"03278964":[],"032790":[],"03279636":6,"0330308045180234":[],"0330308045183163":[],"0330308045183219":6,"0330308045190182":6,"03308408":5,"03326365":[],"033264":[],"033657685071527485":[],"033657685071527624":6,"03382304823545749":11,"03447512":6,"03562355":6,"03568439":6,"03570747":0,"0358909447132981":[],"0359565":5,"03630548":6,"03707133":11,"037559":11,"03755944":11,"03761519":[],"03781367141738885":[],"03781367141738886":[],"037813671417388985":6,"03781367141738899":6,"03794112":16,"03814292":6,"03815288":6,"038300":11,"03850557":11,"038506":11,"039039":5,"03981057":16,"0399676689527968":6,"0399676689527975":6,"04":[1,6,11,18],"040102":5,"04010697":6,"04063602":6,"041":[],"041148729430502":6,"041148729430523":6,"0411487294305246":[],"0411487294305746":[],"04179719":[],"041797190646905":[],"04220758":6,"042708":[],"04279651270127165":[],"04284519":[],"043":[],"04315108":5,"0433816":[],"04346721":5,"04355837":6,"04362":[],"04368707":16,"0437499":2,"04389027":6,"043927769551648":[],"04423486":6,"044334":[],"0444119":[],"044613":6,"04483457":[],"04537385":6,"04543942":6,"045603":[],"04566964":6,"0458":9,"04615384615386":[],"04621521":[],"04648335":5,"046491":[],"04649105":[],"0466":[],"04683565":5,"047737":[],"04775904":16,"04784395":6,"047953":[],"04818727730430296":[],"048187277304303056":6,"048653428302840175":16,"048762":[],"048818":[],"04892055":6,"04909093":6,"04912436":6,"04930820e":18,"0495569966278238":6,"0495569966278269":6,"0495569966278315":[],"049747":[],"049858":[],"04it":[],"05":[1,3,4,6,13],"05009826":6,"05087958":[],"050910":[],"05100875":6,"051043":[],"051391":[],"051418":5,"051451":[],"051649":11,"051662":[],"0517473":5,"052206":[],"05227921801205691":[],"05227921801205692":[],"052279218012057004":6,"052330":[],"052372":[],"05255759":[],"05263":[],"05290417684691035":[],"05302":[],"05364854":8,"053678":[],"05383795":6,"053849":5,"054182":[],"054305":[],"054335":[],"054340":[],"05434571":16,"054411":[],"05447415":6,"054491":[],"054582":[],"054585":[],"054650":[],"054774":[],"054785":[],"054963":[],"05505310046362":[],"05505310046363":2,"055137":[],"055153":[],"055302":[],"055320":[],"05533":[],"055344":[],"055676":[],"055684":[],"055859":[],"055958":[],"05614483":5,"056165":[],"056169":[],"05623":[],"056233":[],"056235":[],"056468":[],"05648":[],"05651951":6,"056528":11,"05667":[],"057088709963182":[],"057163681553428394":6,"05716368155351588":[],"0572":[],"057469":[],"05756733":[],"057587":[],"057588":[],"05785343":6,"057877":[],"05789007":6,"057899":11,"05796251":6,"058033":[],"058035":[],"058038":[],"058040":[],"058058":[],"05807125":6,"058088":[],"058416":[],"058585":[],"058596":[],"058715":[],"058740":[],"058816":[],"05883":[],"05884":[],"058890":[],"058948":[],"058955":[],"058957":[],"058974":[],"059013":[],"059180":[],"059272":[],"059278":[],"059294":11,"059378":11,"059437":[],"059601":[],"059783":[],"059795":[],"059824":[],"059933":[],"05999":[],"06":[6,13],"060016":[],"060080":[],"060146":[],"060183":[],"06020587":6,"06021285":[],"060213":[],"060228":11,"060288":[],"060309":[],"060349":[],"06043581":6,"060502":[],"060507":[],"060550":[],"060649":[],"060655":[],"060781":[],"060841":[],"060875":[],"060963":[],"061025":[],"061028":[],"061048":[],"061144":[],"061149":[],"061297":[],"061321":[],"061390":[],"061505":[],"061509":[],"061538":[],"061604":[],"06160438":[],"061646":[],"061685":[],"061701":[],"061716":[],"061725":[],"061745":[],"061765":[],"061821":[],"061898":[],"061917":[],"061923":11,"06200174":5,"062061":[],"062062":[],"062064":[],"06208238634231944":6,"06208238634231953":[],"062097":[],"062136":[],"062142":[],"062195":[],"062292565":4,"062294":[],"062305":[],"062391":[],"062409":11,"062411":11,"062435":[],"062451":[],"062498":[],"062517":[],"062534":[],"062551":[],"062563":[],"062640":[],"062665":[],"062676":11,"062706":11,"062773":[],"062827":[],"062834":[],"062874":[],"062881":[],"062884":[],"062888":[],"062983":[],"063014":[],"063024":[],"063052":[],"063078":[],"063125":[],"063173":[],"063192":[],"063241":[],"063250":[],"063287":[],"063343":[],"063364":[],"063371":[],"063375":[],"063401":[],"063493":[],"063513":[],"063612":[],"063619":[],"063631":[],"063657":[],"063752":11,"063781":[],"063851":[],"063857":[],"063872":[],"063874":[],"06388888888888888":[],"063977":[],"063979":[],"064052":[],"064062":[],"064108":[],"064110":[],"064184":[],"064274":[],"064329":[],"064384":[],"064388":[],"064431":[],"06444":[],"064442":[],"064459":[],"064461":[],"064469":[],"064483":[],"06453579006728315":[],"06453579006728322":6,"064538":11,"064573":[],"064604":11,"064609":[],"064618":[],"064623":[],"064634":[],"064648":[],"064658":[],"064681":[],"064838":[],"064859":[],"064880":[],"064896":[],"06491736":6,"064918":[],"064931":11,"064937":[],"064964":[],"06497046":[],"065020":[],"065032":[],"065106":[],"065110":5,"065168":[],"065183":[],"065249":11,"065252":[],"065282":[],"065314":11,"065348":[],"06547790180152352":6,"06547790180152353":6,"06547790180152357":[],"06547790180152363":[],"065514":[],"065537":[],"065557":[],"065575":[],"065641":11,"065657":[],"065680":[],"065730":11,"065796":[],"065826":[],"065846":[],"065869":[],"065892":[],"065942":[],"065974":[],"06602663":[],"066051":[],"066056":[],"066064":[],"066093":[],"066110":[],"066194":[],"066220":[],"066223":[],"066228":[],"066241":[],"066309":[],"066340":[],"066348":[],"066356":[],"06637":[],"066449":[],"066528":[],"066553":[],"066558":[],"066580":[],"066590":[],"066609":[],"066651":[],"066654":[],"066670":11,"066675":[],"0666807":2,"066714":[],"066729":11,"066741":[],"066753":[],"066789":[],"066828":[],"066837":11,"066850":5,"066870":[],"066873":[],"066919":[],"066934":[],"066954":[],"067011":[],"067079":[],"067141":[],"067162":[],"067191":[],"067213":[],"067236":[],"067240":[],"06724062":5,"067282":11,"067392":11,"067402":11,"067432":11,"067437":[],"067449":[],"067484":[],"067506":[],"067525":[],"067527":[],"067544":[],"067560":[],"067585":[],"067597":[],"067599":[],"067612":[],"067615":[],"067620":[],"067622":[],"067675":[],"067693":[],"067710":[],"067714":[],"067720":[],"067723":[],"067767":[],"067769":[],"067775":[],"067787":[],"067854":[],"067856":[],"067864":[],"067908":[],"067934":[],"067956":11,"068019":[],"068059":11,"068087":[],"068093":11,"068094":[],"068098":[],"068103":[],"068104":[],"068110":[],"068120":[],"068136":[],"068197":[],"068210":[],"068261":[],"068318":[],"068345":[],"068358":[],"068363":[],"068376":[],"068391":[],"068417":[],"06844519414009438":[],"06844519414009442":6,"06844519414009444":6,"068461":11,"068500":[],"068505":[],"068538":11,"068573":[],"06858699":[],"068593":[],"068608":[],"068619":[],"068642":[],"068654":[],"068659":[],"068664":5,"068724":[],"068735":[],"068799":[],"068806":[],"068809":[],"068831":[],"068852":[],"068920":[],"068937":[],"068953":[],"068965":[],"068991":[],"068992":[],"069010":[],"069015":[],"069036":[],"069044":[],"069085":11,"069091":[],"069181":[],"069231":[],"069275":11,"069276":[],"069281":[],"069285":[],"069386":[],"069408":[],"069409":[],"069421":[],"06942103":[],"069436":[],"069441":[],"069454":[],"069455":[],"069476":[],"069494":[],"069578":[],"069584":[],"069626":[],"069651":[],"069654":[],"069667":[],"069672":[],"069685":11,"069748":[],"069754":[],"069796":[],"069838":[],"069847":[],"069877":11,"069884":11,"069888":[],"069903":[],"069907":[],"069912":[],"06it":6,"07":6,"070018":[],"070028":[],"070034":[],"070043":[],"070071":[],"070074":[],"070105":[],"070150":[],"07016":[],"070163":11,"07017":[],"070276":[],"070339":[],"070343":11,"070379":[],"07039":[],"070419":11,"070429":11,"070453":[],"070491":[],"070492":11,"070518":[],"070562":5,"070576":[],"070585":5,"070612":[],"07062318":6,"070630":[],"070635":[],"070775":[],"070835":[],"070860":[],"070871":[],"070874":[],"070889":11,"070911":[],"070950":11,"070959":[],"070972":11,"07099747918547346":[],"071003":[],"071009":[],"071022":11,"071086":[],"071112":[],"071120":[],"071136":[],"07115":[],"071239":[],"071243":[],"07129539":[],"0712953943627344":[],"0713":0,"071326":[],"071387":[],"071441":[],"07145103":11,"071467":[],"071476":[],"071480":[],"0714956":16,"071515":[],"071529":[],"071547":[],"071552":[],"071569":[],"07160048164232467":6,"07160048164248561":[],"071604":[],"071614":[],"071632":[],"071641":[],"071698":[],"071705":[],"071741":[],"071767":[],"071836":[],"071852":[],"071901":[],"071906":[],"071921":[],"071935":[],"071949":[],"072008":[],"072011":[],"07201957":[],"072021":[],"072041":[],"072084":[],"072091":[],"07212695":[],"072127":[],"072145":[],"072147":[],"072184":[],"072198":[],"072216":11,"072222":[],"072240":[],"072242":[],"072290":[],"072342":[],"072348":[],"072352":[],"072361":[],"072370":[],"072435":[],"072442":11,"072471":[],"072483":[],"072492":[],"072521":[],"072523":[],"072529":[],"072530":[],"072554":5,"072558":[],"072569":5,"072575":5,"072597":[],"072598":[],"072611":[],"072617":[],"072620":[],"072651":[],"072652":[],"072750":[],"072751":[],"072798":[],"072824":[],"072828":[],"072839":[],"07285":3,"0728785":[],"072898":[],"07291729":18,"072918":[],"072928":[],"072958":[],"072970":[],"072974":[],"072994":5,"073013":[],"073016":[],"073045":[],"073052":[],"073062":11,"073105":[],"073120":[],"073134":[],"073136":11,"073206":[],"073225":[],"073230":11,"073238":[],"073280":11,"073303":[],"073320":[],"073362":[],"073368":[],"073369":[],"073380":[],"073391":[],"073423":[],"073436":11,"073449":[],"07345504":[],"073489":[],"073506":[],"073531":[],"073548":[],"073575":11,"073583":11,"073598":11,"073629":11,"073647":[],"073668":[],"073695":[],"073699":[],"073719":[],"073761":11,"073777":[],"073810":11,"073816":[],"073827":11,"073907":[],"073925":[],"073949":[],"073959":[],"074034":[],"074067":11,"074111":11,"07413172":[],"074149":11,"07421084":5,"074237":[],"074276":[],"074336":[],"074346":[],"074375":[],"074401":[],"074480":5,"074488":[],"074513":[],"074530":11,"074552":[],"07456491":5,"074569":[],"074573":11,"074592":5,"074666":[],"074684":5,"074693":[],"074708":[],"074715":5,"074743":[],"074763":[],"074773":[],"074833":[],"074838":[],"074839":[],"074881":[],"074905":[],"07490892":6,"074945":[],"074980":[],"074986":[],"074992":[],"075012":[],"075017":[],"075058":[],"075061":[],"075136":[],"075138":[],"075181":[],"075188":5,"075192":[],"075195":[],"075228":[],"075241":[],"075262":[],"075302":[],"075335":[],"075356":5,"07535606":5,"075389":5,"075433":[],"075498":[],"075573":[],"075586":[],"075594":[],"075618":[],"075629":[],"075728":[],"075760":[],"075820":[],"075840":[],"075899":[],"075959":[],"076055":[],"076096":[],"076121":[],"076130":11,"076173":[],"076204":[],"076216":11,"076248":[],"076270":[],"076282":[],"076329":[],"076338":[],"076389":[],"0764924":6,"076518":[],"076525":[],"076532":[],"07656896":[],"076588":5,"076589":[],"076604":11,"076628":[],"076637":[],"076665":5,"076697":[],"076726":[],"076760":[],"07678":[],"076780":11,"076783":[],"076795":[],"076804":11,"076821":[],"076843":5,"076862":[],"076866":[],"076895":11,"076905":11,"076938":11,"076942":5,"076955":[],"076958":[],"076990":5,"077003":[],"077009":[],"077013":11,"077015":11,"077022":[],"077062":[],"077083":11,"077108":[],"077131":[],"077158":[],"077164":[],"077211":11,"077228":[],"077291":[],"077338":[],"077349":11,"07735703":16,"077359":[],"077375":[],"077402":[],"077419":5,"077425":[],"077452":11,"077467":[],"077499":5,"077607":[],"077620":[],"077706":[],"077711":[],"077724":[],"07777777777777778":1,"077785":[],"077793":[],"077822":[],"077921":[],"077948":[],"077978":[],"078040":[],"078042":[],"078101":[],"078157":[],"078167":[],"0782":6,"07820":[],"078253":[],"078254":11,"078269":11,"078299":11,"078314":11,"078432":[],"078436":11,"07844310540708652":[],"078508":[],"078548":[],"078609":[],"07864":[],"078646":[],"078651":[],"078667":[],"078672":[],"078697":[],"078704":[],"07871":[],"078710":[],"078719":[],"078725":[],"078749":5,"078771":[],"078776":[],"07878641":16,"078795":5,"078812":[],"078845":[],"078860":[],"078899":[],"078911":[],"078942":[],"07897647347778382":[],"07898165660100093":5,"078992":[],"078999":[],"07903849":16,"079056":5,"079110":5,"079142":5,"079157":[],"079158":[],"079179":[],"079214":[],"079225":[],"079242":5,"079260":[],"079268":5,"079273":5,"079278":[],"079281":[],"079347":[],"079383":[],"079389":[],"079405":[],"079406":[],"07944154":16,"079443":[],"079447":[],"079483":[],"079489":[],"079493":5,"079495":[],"079558":[],"079609":[],"079631":[],"079676":5,"07968918676726029":[],"0796891867672603":6,"079719":5,"079729":[],"079741":5,"079819":[],"079839":[],"079847":[],"079893":[],"07989327":[],"079901":[],"079991":[],"07999999999998":[],"07e":17,"08":[13,18],"080056":[],"080106":[],"080137":[],"080200":[],"080256":[],"080288":[],"080297":[],"080312":[],"080319":[],"080332":[],"080334":[],"080347":[],"080370":[],"080406":[],"080407":[],"080410":[],"08041015":[],"08043851":5,"080455":[],"080479":5,"080502":[],"080517":[],"080555":[],"080582":11,"080593":11,"080630":[],"080647":11,"080706":11,"080738":11,"080801":[],"080821":[],"080847":[],"08085812":[],"080916":[],"080922":[],"080973":5,"080984":11,"081046":11,"081072":11,"081140":[],"081144":11,"081163":[],"081198":[],"081211":[],"081233":[],"081253":[],"081262":[],"08131003":6,"081311":[],"081321":[],"081334":5,"081343":5,"081357":[],"081388":11,"081396":[],"081431":[],"081468":5,"081483":[],"081503":5,"081520":[],"081533":[],"081540":[],"081547":[],"08156108":6,"081576":[],"081613":5,"081637":[],"081707":5,"081773":[],"081837":[],"081848":[],"08188077":[],"081881":[],"081932":5,"081953":5,"082014":5,"082122":[],"082174":[],"082183":[],"082189":[],"082204":[],"082267":[],"082286":5,"082295":11,"0823185":[],"082426":5,"082451":[],"082503":11,"08251519":6,"082536":11,"082620":5,"082683":[],"082716":[],"082786":[],"082846":[],"082852":[],"082874":[],"082896":11,"082900":[],"082921":[],"082939":[],"08299273e":6,"083000":[],"083015":[],"083026":[],"083053":[],"083087":[],"083151":[],"083152":[],"08318298e":1,"083217":[],"083220":[],"08322642264994606":[],"083227":[],"083242":[],"083251":[],"083272":5,"083276":11,"08328216846752691":11,"083300":[],"083320":[],"08333333333333333":1,"083361":[],"08336233266":4,"083399":[],"083404":[],"08343519179767796":[],"083441":[],"083495":[],"083506":[],"083527":[],"08356774001062162":[],"083573":[],"083579":[],"083600":[],"083648":[],"083681":[],"083692":[],"083694":[],"08376632":6,"083766322923899":6,"0837663229239016":[],"0837663229239025":[],"0837663229239043":6,"083799":[],"083829":[],"083832":5,"083849":[],"083899":5,"083913":[],"083935":5,"083977":[],"084000":[],"084017":5,"084018":[],"084019":[],"084024":5,"084032":[],"084096":5,"084101":[],"084147":[],"084151":[],"084184":[],"084223":[],"084224":[],"084226":[],"08426840630693411":[],"08426840630693412":6,"08426840630693413":6,"084277":[],"084278":5,"08428156":16,"084282":[],"084364":[],"084391":[],"084400":[],"084408":[],"084414":[],"084434":[],"084444":[],"084476":[],"084477":5,"084484":11,"084536":[],"084549":[],"08455":[],"084570":[],"084604":[],"084629":[],"084645":[],"08464758160254343":[],"084657":5,"084670":[],"084683":[],"084702":[],"084728":[],"08474":[],"084777":[],"084846":[],"084862":11,"084904":[],"084909":[],"084912":[],"084920":[],"084936":[],"084965":[],"084979":5,"085018":[],"085027":[],"085044":[],"085113":5,"085163":11,"085165":[],"085167":[],"085184":[],"085185":[],"085224":5,"085249":[],"085264":[],"085345":5,"085361":[],"085368":[],"085405":[],"085416":[],"08551306":6,"085764":[],"08576932":6,"085879":11,"08593216":6,"085936":[],"086074":11,"086076":[],"08611111111111111":1,"086112":11,"08612280083325631":[],"086154":[],"086174":[],"086178":[],"086203":[],"086249":[],"086262":[],"086303":[],"08630331":[],"086322":5,"086409":[],"086420":5,"086518":5,"086567":[],"086608":[],"086610":5,"086679":[],"086705":[],"08673755293381497":[],"086802":[],"086807":[],"086809":[],"086841":[],"086872":[],"086877":[],"086888":5,"086890":11,"08690":[],"086951":5,"086956":11,"086994":5,"087081":5,"087208":5,"087224":[],"087235":[],"087372":5,"087387":[],"087501":[],"08758":[],"08759":[],"087689":5,"087833":5,"087834":[],"087891":[],"087894":[],"087910":5,"088029":[],"088119":[],"08816688":[],"088176":[],"0881981":5,"088212":[],"088261":[],"088271":5,"088460":[],"088476":[],"088519":[],"088526":11,"088560":[],"088606":[],"088611":[],"088631":[],"08871404":5,"088765":[],"088809":[],"088816":[],"088825":[],"088853":[],"08888888888888889":1,"088926":[],"088946":[],"08902":[],"089041":5,"089059":[],"08917679":[],"089177":[],"089206":[],"089212":[],"089246":[],"089306":[],"089329":[],"089355":5,"089369":5,"089374":5,"089425":[],"089501":11,"089505":[],"089524":[],"089551":[],"089614":[],"089683":[],"0896981":6,"089758":5,"089775":5,"08996":[],"09":1,"090014704675496":[],"090028":[],"090039":[],"090128":5,"090174":5,"090229":[],"09023660662586945":[],"090270":[],"090337":[],"090356":[],"090358":[],"090451":5,"090503":[],"090630":[],"090694":5,"090730":[],"090755":[],"090830":[],"090849":[],"09085624":16,"090929":[],"091031":[],"091051":11,"091060":[],"09117221":[],"091224":[],"091236":5,"091266":[],"091311":[],"091315":5,"091340":[],"091349":[],"091363":[],"091414":[],"091416":[],"091426":[],"091440":5,"091477":[],"09149881":[],"091620":[],"091630":[],"09166666666666666":1,"091696":11,"0917":9,"09170751":[],"09172408":6,"091891":[],"092066":16,"092126":[],"09216046":[],"0923":[],"092409":5,"09251":[],"09252364":[],"092524":[],"092621":[],"092769":[],"092879":[],"09297039":[],"092998":[],"093078":5,"093247":[],"0934597075922044":[],"093497":5,"093593":5,"093624":5,"0938":[],"093844":[],"093930":[],"093979":[],"094082198961999e":6,"0940821989624095e":[],"094082198966615e":6,"0940821989673748e":[],"094362":[],"09440475":18,"094404754965417":18,"09444444444444444":1,"094472507965532":11,"094477":[],"094619":[],"094657":5,"094722":[],"094848":[],"094867":[],"095171":[],"095184":5,"095313":[],"095510":[],"095522":5,"095617":[],"095702":[],"095871":[],"095902":[],"095935":5,"09609807":5,"096173":[],"096472":11,"096516":5,"096623":[],"09672929714683368":[],"09677394":[],"096893":5,"096894":[],"097360":[],"097396":[],"09744":[],"09744272":6,"097602":[],"097634":5,"097710":[],"09780":[],"09791":[],"098135":5,"09849763":11,"098498":11,"09856879":16,"09861229":16,"098802859381565":16,"099":[],"09903804":8,"0991919894927399":6,"099191989493334":[],"09951287404314545":1,"099777":[],"0n":0,"0s":[3,4],"0x11da42d90":13,"0x11e031e50":13,"0x7fad10f9a280":[],"0x7fad20f69be0":[],"0x7fd098df3280":[],"0x7fd0a9063be0":[],"1":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18,19,20],"10":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,18],"100":[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16,18,19],"1000":[0,1,2,4,5,8,11,13,14,15,18],"10000":[2,5,6,10,11,18],"100000":8,"10001":10,"1001":18,"1002":18,"1003":18,"10030":[],"100303":5,"100358":5,"10044225464078282":[],"1005":18,"100670":[],"10077114273548984":6,"1009":18,"1011":18,"1013":18,"1013904243":18,"10141413e":6,"1015":18,"102":3,"1022233262115424":[],"10222333":[],"1023":18,"10230":[],"1023111":16,"1024":3,"102401":[],"102449":[],"1026":18,"1027":18,"1028":[],"103":1,"1030":18,"10302062":16,"103257":[],"10340":[],"1037":18,"10378326e":1,"1038":18,"103822":[],"10391807":6,"10398646080125035":[],"10398646080125036":6,"10398646080125037":6,"1040":18,"10405456":11,"10430":[],"104411":[],"10455924":[],"1047":18,"10505137":16,"105161":5,"105169":[],"10516924":[],"10520":[],"10555555555555556":1,"1056":[],"10589577":5,"106":[],"106095":11,"10620135":16,"108":6,"109":[],"10913":6,"10931453":6,"10960":[],"1096767776832326":18,"10967678":18,"10th":9,"10x":0,"11":[0,2,3,4,5,6,7,8,9,10,11,12,13,16,18,20],"110":[],"1100":18,"1101":18,"11022302e":5,"11046771":16,"111":[1,7,12],"11100":[],"1122558214":[],"112319":[],"11231934":[],"112383":11,"1124":[],"1125":3,"11283168":5,"11297834":[],"1136":3,"11362930e":[],"11388888888888889":1,"1139":3,"11390":[],"114":3,"11402309":16,"114437":[],"11462415":5,"11482289e":6,"11499517":[],"11507992e":1,"11547777218875695":6,"11547777218875696":6,"11547777218940905":[],"11547777218940906":[],"115822":6,"11590":[],"11598862":18,"11598862273198":18,"11604844":[],"116048442683864":[],"11660":[],"11666666666666667":1,"11674401539815678":18,"117":8,"11744554e":6,"11780":[],"11790868":[],"117986":[],"118":2,"1182":[],"1183":[],"118318":[],"1184":4,"11840":[],"1185":[],"1186":[],"11890":[],"119":2,"119625":[],"11962537":[],"1199":[],"119936":2,"119999999999976":[],"11it":6,"12":[0,1,2,3,4,5,6,8,9,11,12,13,16,18,20],"120":[2,3],"1203":[],"1203284":8,"1206":8,"12069773":16,"121":[2,8,9,10],"12182967":6,"12196674":[],"122":[2,8,9,10],"12222222222222222":1,"122439":[],"1224392":[],"12288563":[],"122886":[],"123":[],"12318726e":6,"12333649":6,"12345260617257443":9,"123459876":[],"123711":6,"12380":[],"124":0,"12400":[],"125":[],"1250":[],"125000":[],"12552073e":6,"126":[],"1261":[],"12618549":5,"1265":[],"127":4,"1270":[],"127043":[],"1271":6,"1277":6,"127773":[],"12777777777777777":1,"12788968":[],"12790":[],"128":[3,4,13],"128664":6,"12898627064868978":[],"12937662":[],"12945452":[],"1297":[],"1298":9,"12adb44b1c20":7,"12m":3,"13":[0,2,4,5,6,9,11,12,13,16,18],"130":[],"13003291":6,"13055555555555556":1,"131":[],"13117061":[],"1314":[],"132":[],"13220608e":6,"13229545716505003":16,"132360":[],"1323603":[],"1326":[],"13280":[],"133":7,"13333333333333333":[],"135":[],"13519106":[],"13535942":6,"136":[],"1360":[],"13609760e":18,"1361":[],"1362":[],"1363":[],"1364":[],"13646574":5,"13661243e":6,"13679863":6,"1371":6,"13740":[],"137400784702911":[],"137652":11,"1378":[],"1382":[3,4],"1383":[3,4],"1384":[3,4],"1385":[3,4],"1386":[3,4],"13865173":5,"13876586436927824":[],"138775":11,"1388888888888889":1,"13890":[],"1392559581788775e":[],"1392559584983597e":[],"1392559585048734e":6,"13925595925919e":6,"14":[0,2,4,5,6,8,9,10,11,12,13,16,18,20],"140":[],"14021063":6,"1404":[],"14042769":[],"140428":[],"141":2,"14100":[],"1416398":6,"14174745":6,"1418":[],"142":2,"14250":[],"142857":[],"143":[2,7],"1435666":[],"14360598":[],"1437":1,"144":2,"14400":[],"1440501043841336":1,"14440":[],"14451625":[],"1446729567":4,"14484695":16,"145":2,"146":[],"147":[],"14710":[],"14722222222222223":1,"147400":11,"14741468":[],"147420":11,"14783702":[],"1479":[],"148":[3,4],"14812206":6,"14818":[],"1484256":[],"148564":6,"14859":6,"148768":[],"149":[3,4],"149213":6,"14932651":[],"14988578":[],"149886":[],"14995486":[],"149955":[],"14g":6,"14it":6,"15":[0,2,4,6,7,8,9,12,13,16,18],"150":[3,4,8],"15005476":5,"15098090e":6,"151":[3,4],"15130074e":6,"151986":[],"152":[3,4],"15200":[],"15258907":[],"152696":5,"15269628":5,"1527777777777778":1,"153036":[],"153106":[],"1533795":[],"153760":[],"15384615384616":[],"154":[],"15454301":[],"154720":[],"15483121":[],"154911":[],"155":[],"155491":[],"155687":[],"155883":[],"156":[],"1562":[],"15629539":[],"15680777":16,"156956":5,"157":[],"15717291":16,"1575":[],"158":[],"1583767":16,"15843769515580663":18,"1586300629904382":[],"1587":[],"15891336":16,"159":[],"1590":[],"15990":[],"15g":6,"15it":[],"16":[1,2,3,4,5,6,8,9,10,13,18],"160":[],"1603":3,"1604":[],"1605":[],"160539":[],"1606":[],"1607":[],"16111111111111112":1,"1612":[],"16211139":5,"16220":[],"162246":5,"16231451":4,"1625":[],"1628":[],"163":[],"1630775253":[],"16342407":5,"16343471":6,"16384":3,"16500":[],"166":[],"16660817":[],"166667":[],"167":[],"16740002":16,"167787":5,"168":[],"168044":[],"16804444":[],"16805821e":6,"16807":[],"16827044":[],"16832385":[],"16b8e3cda33a":1,"17":[1,2,4,5,6,8,13,18],"17084902":[],"1709":[],"17174962e":1,"17222222222222222":1,"172405":[],"17240522":[],"1726":[],"17300":[],"1731":[],"17339342":[],"17446471":6,"1752":[],"175300":[],"17641709":6,"176880142835407":[],"17777777777777778":1,"17801022":5,"17861098":6,"17917768":5,"17930649":16,"17949575":5,"17953942":11,"1797":[1,3],"18":[2,4,6,7,8,9,10,13,18],"180":[],"18029127":5,"1807":4,"1809":[],"181":[],"1810":4,"1812":[],"18156717":16,"1821":[],"18276924":[],"18327677":[],"18333333333333332":1,"18393678":[],"184":[],"184519":[],"184895":[],"185":[],"1851":[3,4],"1852":[3,4],"18526":[],"185278747229417":[],"1853":[3,4],"1854":[3,4],"1855":[3,4],"186":[],"1860":[],"1861":[],"18611111111111112":1,"18613217e":6,"18660":[],"18673098":11,"18682538":[],"18826299":[],"188263":[],"1887":6,"18912963":16,"189496":[],"189622":[],"18it":[],"19":[2,4,6,13,18],"19003":6,"19096968":[],"190970":[],"191262820314401":[],"19166666666666668":1,"19207979":5,"19213479":[],"19220":[],"193":[],"19354258":[],"19379506":[],"19394283":[],"194":[],"1940":0,"19404282648955e":6,"194042826653172e":[],"194042826815498e":[],"1940428268204826e":6,"1943":12,"1944":[],"19444444444444445":[],"19466812":[],"1950915150":[],"1954":[],"1956":[],"19569961":6,"1961":[],"1962":[],"1963":[],"1964":[],"1965":[],"1970":16,"1973":9,"197370":11,"19740":[],"1979":6,"19800":[],"19853775e":18,"1989":[],"199":[],"19937":[],"19994371":6,"1_1":12,"1_2":12,"1_3":12,"1cm":[0,8,10,18],"1d":[1,2,3],"1e":[1,2,3,4,14],"1e10":14,"1e4":6,"1f":1,"1k":16,"1n":0,"1s":3,"1x":0,"2":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],"20":[0,1,2,4,6,7,8,13,18],"200":[0,2,3,4,8,9,10],"2000":0,"200000":[],"20015436":6,"2004":13,"2006":20,"2010":1,"2011":1,"2014":4,"2015":1,"2016":0,"20174121":16,"2018":[0,6],"2018906331":[],"2019":[],"2021":[6,14],"2022":17,"2027":[],"20277777777777778":1,"203":6,"20320502":[],"20375361":[],"203753611274545":[],"20500":[],"20509391":[],"206":[],"2060":[],"20609082":[],"206091":[],"20661216":[],"206640":[],"20664007":[],"2069":[],"207545":11,"20756638":[],"20833333333333334":1,"20867052175006306":6,"20867052175109335":[],"20980":[],"21":[0,1,2,4,5,6,7,9,12,13,16,18],"210151":[],"2101511":[],"210340":11,"21058097":5,"21130":[],"2116753732":4,"21169159e":6,"21265216":[],"213":6,"213103":11,"213743":11,"21472683":16,"2147483647":[],"21519063":16,"21596432":6,"216290":11,"216683":11,"21786964":16,"2188":[],"21919813":[],"219249":5,"21924917":5,"21944444444444444":[],"2195":3,"21985165":13,"21997099":16,"22":[0,1,2,4,5,6,12,13,16],"22044605e":5,"220506557673408":18,"22094791":[],"221":8,"221180":[],"22134069":[],"2216":[],"2218":[],"221805":2,"221921":5,"222400":[],"2225":3,"225":4,"2259440937":[],"226124657522696":[],"22612466":[],"226856":[],"22685646":[],"22690428":5,"2284246870217459":6,"22842468702288576":[],"22842468702288582":[],"22847924":5,"22929905e":18,"2299":3,"22it":6,"23":[1,2,4,6,7,12,13,16],"23002365e":6,"23014274e":18,"231":[],"23103285":[],"231224729143838":[],"2315033":[],"23167717":5,"23168292":5,"231683":5,"2321528":[],"232153":[],"232435":[],"23297056":[],"23333333333333334":1,"233528":[],"234":6,"23522201":[],"2357089093":[],"2360682191515046":[],"2361111111111111":[],"2364":[],"237038":[],"23703839":[],"2379":6,"23792491":[],"237925":[],"23816792":[],"238168":[],"2397":[],"24":[0,1,2,4,6,13,16],"24140":[],"2416":[],"24175744e":6,"2419":[],"24276315":16,"2430":[],"24390":[],"24444444444444444":1,"244858":[],"24485843":[],"24512498":16,"246":2,"2470":[],"2476536":[],"247654":[],"24770094":6,"24829908":5,"24906604e":6,"24924624":[],"2495":[],"25":[2,3,4,5,6,7,8,9,11,13],"250":[2,4,7,9],"2500":[],"25000":0,"250000":[],"250154":[],"2517560119":[],"251879":[],"252436":[],"25259666":16,"2526":3,"252866":[],"25286618":[],"253775":[],"255":3,"255001":[],"256":[2,4],"25617654e":6,"25617657e":[],"25617658e":6,"256962":[],"257":[],"2572":[],"2572495066":[],"2572e3a4b38d":1,"2575":[],"25792767":16,"25845e8df859":6,"259153":11,"2597":[],"25976336":[],"26":[2,4,6,13],"26079358":[],"26153846153846":[],"26186844":16,"2619":[],"26290036":[],"26291585":5,"262916":5,"26294938":[],"2629493813057833":[],"26301436":5,"26306244":[],"264":4,"26409315307910025":6,"2640931530791003":[],"2640931530791005":[],"26409315307910053":6,"265":[],"2650":[],"265109911":4,"26531223e":18,"2654":[],"266":[],"26610075":[],"26666667":13,"26710969":5,"26780278":5,"268":[],"268227":[],"26822717":[],"268484":[],"26848435":[],"269":[],"27":[0,1,2,4,6,13],"270":[],"2703":3,"27092897":6,"2750":[],"275341":[],"27562809e":18,"27621662e":18,"276263":11,"27692307692308":[],"27700":[],"2772":3,"2775623201":[],"27760":[],"278036":[],"27803645":[],"27924636":5,"27n_":18,"28":[1,3,4,6],"28001319":[],"28047021":16,"280573":5,"280647":11,"28067036":16,"28097861":[],"280979":[],"2812":[],"282727":11,"283":[],"2830637392":4,"28336218e":6,"2836":[],"28390":[],"28475098":8,"28590743":[],"2861":18,"28634473":11,"286345":11,"2871":[],"2873":9,"2882":18,"2886":18,"2886847885377843":[],"28868479":[],"28875373":16,"2890":0,"2892":18,"28967287":16,"29":[4,6,7],"29082851":[],"290829":[],"29149329":[],"2915":18,"29167186":5,"29229741":13,"2923076923077":[],"294277":[],"2942772":[],"29512284":11,"295123":11,"2954":[3,4],"2955":[3,4],"2956":[3,4],"2957":[3,4],"2958":[3,4],"29588901":13,"29592539":[],"296247":[],"297":[],"2971492148":[],"2972":[],"29822833":6,"298273":[],"298375":[],"298836":5,"29883607":5,"299267190588216":11,"299748":[],"2_":12,"2_1":12,"2_2":12,"2_3":12,"2_i":12,"2_m":[6,18],"2_t":13,"2_x":18,"2b":18,"2cm":8,"2d":[1,3,11,12,15],"2e":6,"2f":[0,7,9,10,11,12],"2ff97f4bf03b":[],"2g":2,"2g_i":2,"2k":3,"2m":6,"2n":[0,2,3],"2nd":9,"2p":18,"2pt":4,"2s":4,"2x":[0,3,8,13],"2x_ix_jy_iy_j":8,"2x_j":8,"2y_i":10,"2y_j":8,"3":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19],"30":[0,1,4,6,7,10,13],"30000":0,"30010":[],"30119421":8,"301475":5,"3014751":5,"3017":[],"3018":[],"3019":[],"301927":[],"3020":[],"3021":[],"30258509":16,"302m":4,"303":6,"3037":[],"3038":[],"30384239":16,"3039":[],"303m":4,"3040":[],"3041":[],"30466214e":6,"304m":4,"30535506":[],"30552077":16,"30559547":[],"305m":4,"3063":[],"306m":4,"3072":3,"30761405e":18,"30787294":6,"307m":4,"30891693":[],"308917":[],"308m":4,"309":0,"30936179":[],"309362":[],"30940":[],"30b53504a633":0,"31":[4,6,12,16,18],"310":0,"311":0,"31120247":[],"311m":4,"312":0,"3120271598582915":18,"3123314713548606":6,"31276579e":6,"312m":4,"313":0,"31318084":5,"314":[],"31424359":5,"314244":5,"31457796":5,"315":6,"3155":[0,5,6],"315746":[],"31574634":[],"315977":[],"31597731":[],"316":[],"31605061":16,"31614188e":18,"31644071":[],"317":[],"31718909":11,"317367":11,"317m":4,"31866499":13,"31896852":8,"319m":4,"32":[3,4,6,12,13,16,18],"3200":1,"32039227e":18,"32047562":[],"3208":2,"320m":4,"32149601703519115":6,"3214960170351912":6,"3215":[],"32179365":[],"32309075":[],"32320052":16,"324":2,"32458459":[],"324m":4,"3250":[1,6],"32512":[],"326238":[],"326m":4,"32721178":11,"327212":11,"32750531e":18,"32816737":[],"32903042":[],"3297":[],"32992274":[],"329923":[],"33":[3,4,12,14,16],"3303":[],"33066907e":5,"3310":[],"33166055e":5,"331939":[],"331m":4,"332331":[],"333":7,"3331":[],"33327369":[],"333274":[],"33333333":13,"3337":[],"33611111111111114":[],"336801":[],"33680101":[],"33711888":[],"3384":[],"33900713":[],"33m":4,"34":[4,7,16],"3403":[],"34040204e":18,"340782":11,"34114547":5,"341m":4,"342680":[],"34305928":[],"3436":0,"3437":0,"3456":[],"34568872":16,"34569596":5,"3457":[],"3458":[],"34585355":16,"3459":[],"3460":[],"346810":[],"3469819128513336":[],"34740615":[],"3498":[],"34it":6,"35":[0,2,4,6,7],"35074881":[],"350749":[],"3514":[],"35140":[],"35147135":16,"351636":11,"35182854":5,"35203688":16,"35207264":[],"352073":[],"3522":[],"3525":[],"3528556":[],"352856":[],"3529":[],"3530606977":[],"3538":[],"35396404e":18,"35401056e":18,"3543":[],"3544313922":[],"3546":[],"35470445e":5,"3548":[],"355":[],"3551":[],"35533773":6,"35533774":[],"3556":[],"35562617e":18,"3558":[],"3560":[],"356399":[],"3567":[],"3572":[],"35724288e":18,"3575":[],"357508":[],"3576":[],"3577":[],"35771842":6,"3581341341":4,"3585":[],"3587":[],"35892474":16,"359":5,"3593":[],"3594821":13,"3595":[],"3598":[],"359999999999985":[],"36":[0,2,4,5,6,7,18],"360":1,"3604":[],"3605":[],"3606":[],"360688":[],"3609":[],"36102113":[],"36117602":[],"3613":[],"3615":[],"361556":[],"3617":[],"3621311":5,"3624":[],"3627":[],"3628":[],"363295916323784e":6,"363295916414895e":[],"3632959170548605e":[],"363295924430451e":6,"363834":11,"36383443":11,"363936":[],"36393643":[],"3643":[],"3644017":[],"364402":[],"364418e97433":1,"3645":[],"3646":[],"3647":[],"365350":[],"36535019":[],"3655":[],"3655222":5,"3659":[],"3668":[],"36689784":[],"366898":[],"3669":[],"367":2,"3672":[],"3673":[],"3674":[],"3679":[],"3684":[],"3687":[],"3688":[],"368m":4,"369139":11,"36it":[],"37":[2,4,6,7],"3704":[],"370782966":4,"3711":[],"3713":[],"3718":[],"3721":[],"3722":[],"3725":[],"3729":[],"37307168":16,"3739":[],"37396662":6,"37415316":16,"374291":[],"37429133":[],"3748":[],"3749":[],"3753":[],"3759":[],"3760":[],"3765":[],"376559":[],"37655936":[],"376834":5,"37683438":5,"37692363":[],"37703055":[],"3772":[],"3773":[],"37732":[],"3776":[],"3777801602":[],"3779":[],"37835429e":[],"3784":[],"378664":[],"37866422":[],"37900111":6,"3791":[],"379203":[],"3794":[],"379647":11,"37964744":11,"37992857":[],"38":[2,4,7,18],"380":[],"3802":[],"3803":[],"3804":[],"3805":[],"380739":[],"38073947":[],"3811":[],"38135733e":6,"3815":4,"381627865854956":[],"38162787":[],"3817475779":[],"3818":[],"3819":[],"3820":[],"3823886":5,"382389":5,"38246359":[],"382672":[],"38267217":[],"3827":[],"382951":11,"38295101":11,"3830":4,"3833":[],"38336316":16,"3834":4,"3837":4,"3838":4,"3839":4,"3842":[],"3850":[],"3851":4,"38533184":6,"3854":[],"3858":4,"386":[],"38605872":5,"386059":5,"3861":4,"3862":4,"38629436":16,"3864":4,"3867":[],"3869":4,"387":[],"3871":4,"3872":4,"387482":[],"38748219":[],"3876":[],"388":[],"3881":4,"3882":[],"3885":[],"38868469":16,"3888":4,"3889":4,"389":[],"38901478":[],"38906684":[],"389067":[],"3891":4,"38916861e":6,"38962192e":6,"3898":[],"39":[0,2,4,13,19],"390":[],"3906":4,"39095416":[],"3914":4,"3915":4,"3916":4,"391602":[],"3917":4,"3922":4,"3925515884752442":[],"3928":4,"3931":[],"39311435":16,"3943":4,"3944":4,"39456996":16,"3950":4,"3955":4,"39560937":16,"39579407":5,"3958":[],"3960":4,"3962":4,"3970":4,"39706038":5,"39724390e":18,"3975":4,"397700":11,"39789527":16,"3979":4,"39794864e":18,"3980313467":[],"3983":4,"39924562":[],"399246":[],"3994":4,"3996":4,"399836":[],"3d":[2,3,4,6,13],"3f":[1,3,9],"3n":16,"3x":[2,8],"3x_i":2,"3y":8,"4":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],"40":[1,4,6,19],"400":4,"4000":20,"4005":4,"4011":4,"40116777":[],"401168":[],"4012":4,"4017":4,"401842":11,"40214433":16,"4022":[],"40236901e":18,"4027":4,"4030":4,"40340043":[],"4034668048":[],"4038":4,"4039":4,"404":[],"4045":4,"4048":4,"4055":4,"405890":11,"4059":4,"40599799":[],"4068":4,"4069":4,"4075":4,"4077":[],"408":2,"4082":[4,6],"40829683":[],"408297":[],"4084":4,"4087":[],"4087793":5,"4088":4,"4089":4,"409":2,"40927184e":6,"40a38ad763f1":6,"41":[2,4,16],"410":2,"4100":4,"4107":[],"410815":[],"41081513":[],"411":2,"4115":4,"4117":4,"412":2,"41211579":[],"412116":[],"4128":4,"4131":4,"41351287":[],"413513":[],"41357064":[],"4143":4,"41433969":5,"4144":4,"4146":4,"41511965e":1,"4155":2,"415534701258823":[],"4162706317":[],"4167":4,"4176":4,"4177":4,"418506":11,"4186":4,"41876267":[],"418763":[],"41882036e":6,"41882037e":6,"4192423635":[],"41958102e":18,"4198":4,"41990268":[],"41it":6,"42":[0,1,2,4,8,9,10,16],"420":[],"42037468e":18,"42078103":[],"421":2,"4212":4,"422":2,"4224":4,"422480":[],"4224801":[],"423":2,"42340403e":18,"42394972":16,"424":2,"42441033":5,"42449643":[],"42450":[],"425":2,"4255":[],"4258989918":[],"426":[6,7],"42615374e":18,"42631342":[],"427017":11,"4275":4,"43":[0,1,2,4,7,16],"43054282":5,"43135183":16,"43294696e":18,"43330971e":6,"434932":11,"43493232":11,"435163":[],"43552433":16,"43579948e":6,"436462435":4,"43761347":[],"43766686":11,"4379":4,"438060758":[],"438136":[],"43876695":[],"438767":[],"439230":6,"4399427":[],"439943":[],"44":[0,1,2,4,16],"44089210e":5,"4410":[],"4411":[],"442600":11,"442701":5,"44270138":5,"443217":[],"444":[],"44688507e":18,"44970586e":1,"45":[2,4,19],"450":[],"450257":11,"4504":[],"45290829":16,"45393214e":18,"454027":[],"45402701":[],"4543859":[],"4557763":11,"455947":[],"456":[],"456418966187335":[],"457":[2,4],"457770268480242":[],"458027":[],"458078":11,"45960079":5,"45985488":[],"459855":[],"46":[2,4,19],"4601":[],"461":[],"461175":16,"462":7,"46383925e":6,"464424":[],"4644244":[],"46508305":16,"46567887":16,"466":[],"46602982":[],"46696223":[],"469":[],"46932688":[],"4694":[],"46984697e":6,"469868":[],"46986815":[],"47":[4,19],"4703":4,"47042744":5,"470714":[],"47075725":6,"47116868e":6,"47125748":5,"47132891":5,"47245463":[],"472455":[],"47387858":[],"47400238":[],"47432993":[],"4744":[],"4744219":[],"47478057":[],"47485224":[],"475311":[],"47531107":[],"47610036":6,"47815203":11,"47920156":[],"47942814":[],"479465113":4,"48":4,"48089797":[],"48133064":[],"481979":6,"48212873":16,"48257387":19,"48316523e":18,"483257001":[],"4837":[],"48420165":[],"48476997":11,"48574149":16,"486873":[],"48687342":[],"489":[],"489522":[],"48952201":[],"48994188":5,"49":[4,5,6,11,13],"490":[],"491":[],"49152":3,"492":[],"493":[],"49385454e":18,"4940954":0,"4959161509356135e":6,"495916150936645e":6,"495916150936654e":[],"495916150938325e":[],"49614357":18,"49636583":[],"497":[3,4],"498":[3,4],"499":[3,4],"4990":18,"499012":5,"49901244":5,"4992":18,"4997":18,"49992743e":18,"4c4c7f":[9,10],"4d":3,"4f":6,"4y":8,"4y_i":10,"5":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],"50":[1,2,3,4,6,7,8,10,13],"500":[1,3,4,6,9,10,13],"500000":[],"50000455":5,"50000553":5,"50000718":5,"50000855":5,"50000969":5,"50001063":5,"50001142":5,"50001207":5,"50001261":5,"50001306":5,"50001343":5,"50001374":5,"500014":5,"50001414":5,"50001422":5,"50001439":5,"50001454":5,"50001466":5,"50001476":5,"50001485":5,"50001492":5,"50001498":5,"50001502":5,"50001506":5,"5000151":5,"50001512":5,"50001515":5,"50001517":5,"50001518":5,"50001519":5,"50001521":5,"50001522":5,"50001523":5,"50001524":5,"50001525":5,"501":[3,4],"50105159":[],"5018":18,"50227564e":6,"5031474174499113":18,"50314742":18,"50321091":5,"504167":[],"50416731":[],"506":0,"50680321e":18,"50727059":16,"50769230769231":[],"507d50":[9,10],"50846111e":6,"50846112e":6,"50it":6,"50j":13,"50x10":1,"51":[4,10],"510":1,"51004249":16,"51126895e":18,"51131471":[],"511315":[],"511888":5,"511977":[],"51197747":[],"512132":[],"51214899":6,"51265232":16,"51289697":11,"512897":11,"5138":[],"51389553":16,"514219":[],"51561271":16,"517350858882083":[],"5177783846":4,"517823":[],"51782322":[],"518030":11,"51803019":11,"519842":[],"52":[3,4,13],"520931":5,"52093124":5,"5216048821598704":[],"521719":[],"52171908":[],"5222222222222223":1,"522758":[],"52307692307693":[],"5260627":[],"526744":11,"52723079":[],"52773051":[],"52799362":11,"528115":11,"52811546":11,"52874252":5,"529":[],"52911941":[],"52945798e":[],"53":[3,4,9],"5303329":11,"5305555555555556":1,"5312":[],"531280":[],"53189647":[],"53312754":16,"53423784":16,"53479276":[],"534793":[],"53603432":[],"53611562":[],"53697476":[],"53703498":6,"5378811":11,"53794784":11,"537948":11,"53815559":[],"53846153846155":[],"539261":11,"53952479":[],"539525":[],"54":[3,4,6,18],"540":[],"54016188":11,"540162":11,"54039921":5,"54041041e":5,"541605":[],"54163136":13,"544439":[],"546166676":[],"546712":[],"54671213":[],"54780216":[],"54845458":[],"548455":[],"54886137":[],"54it":[],"55":[1,3,4],"5501":[3,4,14],"55026099":[],"550321":[],"5539":[],"55505907":16,"555187":[],"55518724":[],"555496":[],"5554964":[],"5555555555555556":1,"55578041":[],"5566":[],"557795":11,"558080":[],"55808001":[],"558241":[],"55824107":[],"55854694":11,"5594":6,"56":[1,3,4],"56033697":5,"561":[],"5611":[],"5615":[],"56198284":5,"5625":[],"56302854":16,"5639":[],"564":[],"564374":11,"56437897":[],"564379":[],"565":[],"565006":[],"56500639":[],"56536":0,"565651":5,"56565106":5,"566":[],"56636616e":6,"567":[],"568":[],"569":1,"56912044e":6,"56939714":5,"56992937":[],"57":[0,4,8,19],"570":[],"5700":[],"571":5,"571105947979336e":6,"571105947979394e":6,"571105947979395e":[],"571105947979439e":[],"57154252":[],"57174058":[],"57201944e":6,"57266138":[],"57361898":[],"574465":11,"57673618":16,"57842073e":18,"578889":[],"57888946":[],"57it":[],"58":[4,10,19],"583595":[],"58395707":[],"58428804":[],"584804":[],"5888888888888889":1,"589":[],"58986647":[],"59":[2,4],"590":[],"591":[],"591317992":4,"591594":[],"59159438":[],"59182949":[],"592":[],"593":[],"593040":[],"59304008":[],"5944444444444444":1,"59591979":[],"595920":[],"59592669":[],"59616454":[],"596165":[],"59766":[],"597660":[],"59833875":13,"598392":[],"59839245":[],"59955801":13,"5cm":18,"5dd54edf2138":6,"5f":8,"5x":8,"5y":8,"6":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,17,18],"60":[1,2,3,4,6],"60000":4,"6019067271":4,"60236938":16,"60293962":5,"603494":[],"60349429":[],"60420593":5,"60538875":16,"60619654":6,"6063219":[],"606439":[],"60673226":11,"606760":5,"60685864":6,"60791699":[],"6079169911277265":[],"608028":[],"60802823":[],"60943791":16,"61":[2,4,7],"61033524":[],"6111111111111112":1,"612939":[],"613579":[],"61399851":11,"613999":11,"61406871":[],"61463451":16,"614808":11,"6149274949460215":[],"61576236e":18,"617572":[],"61757228":[],"618":[],"61808351":[],"618982":[],"6199381169260247":[],"62":[2,3,4],"62168613":[],"62364974":[],"62373464":11,"625":7,"626635268":[],"62767384":[],"62894215":5,"62896882":[],"629961":[],"63":[0,1,2,3,4,6,7],"6300745149331701":[],"630224":[],"63025821e":6,"63207808":18,"63249532e":6,"63270833":[],"63367582":5,"633676":5,"63395187":[],"63498144":5,"63675140":[],"6371293350711955":[],"637545":[],"63754524":[],"63860687":16,"63862189":5,"63901111":[],"63it":[],"64":[1,3,4,7,13,16],"64012627":5,"64113381e":18,"64141716e":18,"642380":[],"64238022":[],"64293754":[],"64425009":[],"645":[],"64615384615385":[],"646283":11,"647":6,"64742912e":6,"647473":11,"649339":[],"64933923":[],"649382":11,"64x50":1,"65":[1,2,3,4,7,8,9],"65136857":[],"6530742540053943":[],"6562":[],"65626043":[],"65628853":16,"65885453":5,"659306":[],"66":[2,3,4],"66054752":[],"66087937":[],"66204648":6,"66226149":6,"66247212":[],"662854":[],"66285434":[],"6628996975186953":[],"66292841":[],"66295776":5,"662958":5,"66310422":[],"6638":[],"66410989":[],"66560":[],"66619972":11,"666200":11,"6669838269597004":[],"667":[],"668172":[],"668186":[],"66818635":[],"66934291":[],"66it":6,"67":[2,4],"67047975e":6,"671089":[],"672721":[],"67314874e":5,"67588315":[],"67591616":[],"67697934":11,"67838309":[],"67882608":[],"67970864":[],"679709":[],"68":[2,4],"6808538439837775":[],"68176047e":18,"68192193":5,"68246089":16,"68279358":16,"6834195":[],"68534263e":6,"68542204":5,"68545647e":[],"6869":[],"6887363571":4,"689230294669661":[],"68929213e":6,"68944595":[],"689519":11,"68965135":5,"69":[2,4,7,18],"690":[],"69023787":[],"690569639355314":[],"69061276":11,"690617":[],"69069n_":18,"692":1,"69295955":[],"69484813e":5,"69493539":16,"69504801":6,"6960326":[],"69634577e":6,"69695259":5,"6984511994530214":5,"69985355":[],"6999536":11,"69it":[],"6e75736fdab1":6,"6f7a6bd7d79f":6,"6m":[3,4],"6n_":18,"7":[0,1,2,3,4,5,6,7,8,9,11,12,13,16,18,20],"70":[1,2,4,6,7],"70127680":6,"701370":5,"70179437":[],"70205195":16,"70354373":[],"703716d317a7":8,"70434005":[],"7050":[],"70598996":[],"70653767":4,"70710678":5,"70721787":[],"707218":[],"70769586":[],"70831425":[],"70832814":5,"70980493":16,"71":[1,2,4],"71131626":16,"7119":[],"712018":11,"7134":[],"713487":[],"71348713":[],"71350226":[],"7151":[],"71721168":[],"718165":5,"718697":[],"71869727":[],"72":[2,4],"72174172":11,"722047011333792":[],"72271878e":6,"72347283":[],"7236674":5,"72373129":[],"724":3,"72522848":[],"72859758":5,"7293182":[],"72981762":8,"73":[4,6],"731000":[],"73174557":[],"73287103e":18,"733096":[],"73406033e":18,"73484667":[],"735738558766299":[],"73573856":[],"73752910":[],"73it":6,"74":[4,6,13],"740":[],"74081822":8,"741264":[],"74126425":[],"742975":[],"74297504":[],"74368436":16,"743u":[],"7448615806559786":[],"7469898175164704":[],"74840212":5,"7484669886413582":[],"749765":[],"75":[4,5,6,8,11],"7501749450963715":[],"750445":[],"750u":[],"75106135":16,"75118364":[],"751699":11,"75170092":5,"753846153846155":[],"7546383166870465":[],"75517445":[],"756232":[],"75623206":[],"756352":[],"75703965":[],"757040":[],"758193":[],"75819326":[],"75838233":[],"75it":[],"76":[2,4,19],"76060096":[],"76066069":16,"763u":[],"7643536":13,"765":7,"76529528":[],"76674796":16,"76731400e":18,"76802186":[],"768813":[],"76881337":[],"76923076923077":[],"76936315":5,"7694444444444445":1,"77":[2,4,13,19],"77034458":[],"770345":[],"77152076":5,"7718":9,"773329728649545":[],"77332973":[],"77333117e":18,"774300":[],"775":[],"77618224":[],"77627886":13,"77632220e":18,"77636e":13,"77662945":[],"7767978193240488":11,"77714169":8,"77754132e":18,"7782028952":4,"77865169":[],"78":[2,4],"78011544":[],"78156479e":5,"78184120e":6,"7843182645426894":[],"7846153846154":[],"787349":[],"7873493":[],"78941903":5,"78988962e":18,"79":[2,4],"79009329":16,"79093776":[],"79111643":5,"791123":[],"79145214e":18,"793167":[],"79394867":[],"7939646":[],"794282":11,"79449156":[],"79602861":[],"79754246":[],"797e":6,"79856831e":18,"798761":[],"79876149":[],"7bsq":17,"7c394b1e8b71":9,"7d7d58":[9,10],"7f2b3a6174c2":13,"7m":4,"7odqolophta":17,"8":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18],"80":[0,1,2,4,5,6,8],"800":[4,7],"802796":[],"80279641":[],"80315282":[],"803153":[],"80354994":6,"80469739":5,"8055555555555556":1,"80561191":[],"80609615e":6,"80609616e":6,"8064":[],"80661365":[],"806614":[],"80734875":[],"807349":[],"80738685":16,"80747253":16,"80842254":11,"808423":11,"80847477e":6,"81":[1,2,4],"81048318e":6,"8108619":[],"81160425":5,"81187794":16,"81333804":6,"81333805":[],"81388724e":18,"814":[7,11],"815563":[],"81633628":11,"816454":[],"81671821":[],"816847":[],"8175":[],"81974332":[],"82":[2,4],"8219235992494145":[],"8219236":[],"82198978":5,"82650876":[],"826509":[],"8265786":5,"82747653":[],"827477":[],"82773778":[],"829648415811072":18,"82964842":18,"83":4,"8305555555555556":1,"83512277":5,"836874":[],"83687444":[],"83698677":16,"83999999999999":[],"84":4,"84062065":[],"84203538":[],"84228957e":[],"84232163":16,"842436":[],"84292394":[],"842u":[],"84355903e":1,"84443254e":1,"84569271":13,"84780262":6,"84854738":[],"84886051":[],"848861":[],"84923989e":6,"84924834":11,"84994524":5,"85":[1,4],"850164":5,"8503720991789538":[],"85091337":[],"85263220":6,"8527777777777777":[],"85278920e":5,"853241":[],"85324115":[],"853u":[],"85601992":5,"85758696":16,"858":[],"8583333333333333":1,"85953586":6,"85959007":[],"86":2,"8608479":[],"860848":[],"861":[],"86117291":5,"86134827":5,"86145244":11,"86171505":[],"8638888888888889":1,"86425056":[],"864251":[],"86478158":[],"86546962":[],"86623151":13,"86630":[],"8666666666666667":1,"86810":[],"86879198":5,"868792":5,"869":0,"86905621":[],"86925797":[],"869258":[],"87":2,"870":0,"8702784034":4,"871":0,"87191952":[],"871920":[],"872":0,"8722222222222222":1,"873":0,"87327414":[],"87381451":5,"875":1,"8759":13,"876":6,"87625493":[],"87647541":[],"876664":[],"87666423":[],"8768":[],"878297":[],"87836018":[],"879271":[],"87927126":[],"87940752":16,"87it":6,"88":[0,2,13],"88017651":11,"880177":11,"88031314":[],"88046261":5,"8805555555555555":1,"88118231":[],"88168312e":6,"881788":[],"883":[],"88336879":5,"884":[],"88477619":[],"885":[],"88512489":[],"88529063e":6,"8855417382991412":[],"88554174":[],"886":[],"88679947":[],"887":[],"887366":[],"88736621":[],"8879":6,"88871662":16,"8888888888888888":1,"889080":[],"88908038":[],"8894":6,"889686":[],"89":2,"8916666666666667":[],"89274639":16,"89288636":11,"89335182":[],"893352":[],"893489":[],"89348922":[],"89410423":5,"8944444444444445":1,"89550839":16,"89565264":[],"8962476":[],"896248":[],"89873772":16,"89876748":[],"8991514":16,"89944994":[],"899450":[],"8f":6,"8g":6,"8n":16,"8x8":1,"9":[0,1,2,3,4,5,6,7,8,9,11,12,13,14,16,18],"90":[1,2,6],"900449":[],"9005135872087155":[],"90054363":[],"90075537":5,"9011":6,"90220243":5,"90266948":5,"90268858":[],"9027777777777778":1,"903824":[],"90382431":[],"9040":9,"90475506e":6,"90540529":11,"9055555555555556":1,"90559087":[],"905591":[],"906747":5,"9083333333333333":[],"90884627":16,"90895045":16,"90940378":16,"90999452e":18,"91":19,"910":[],"9111111111111111":1,"91128596":5,"912u":[],"913":[3,4],"91379157":[],"913791573406831":[],"91383439":16,"91396388":[],"914":[3,4],"91416375":[],"91479093":[],"91492986e":6,"915":[3,4],"91549644":[],"916":[3,4],"91616374":[],"916164":[],"9166666666666666":[],"917":[3,4],"91760278":5,"918":[],"91812702":5,"918992":[],"919":[],"92":[6,19],"9212905":[],"921291":[],"92143477":[],"921435":[],"92208477":[],"922085":[],"92272314":[],"922u":[],"92343595":[],"924018":[],"92477093":[],"924e":6,"925":1,"92507116e":1,"9252772":11,"92578916":5,"92603747":16,"92626212":16,"926583":[],"92658312":[],"92754397":[],"927544":[],"9277777777777778":1,"92819235":[],"92857143":7,"93":[],"93037171":[],"930372":[],"9305555555555556":1,"930583":11,"930683":[],"931":0,"93155188":5,"93158979":5,"93188452":5,"931885":5,"93248252":[],"932483":[],"932u":[],"933":5,"93414191":[],"93492130e":6,"93579127":16,"935u":[],"9361111111111111":[],"936762":[],"93676229":[],"936856":5,"93685631":5,"937":18,"937082":[],"93799826":5,"938":18,"9387":[],"939":[0,18],"94":[7,18],"9400":[],"940776":[],"94077605":[],"941866404575299":[],"94226022e":6,"94284104":5,"94320205":5,"9444444444444444":1,"945":[3,4],"94548496":[],"94591015":16,"946":[3,4],"94639099":11,"946393":5,"94659383":[],"946957":5,"947":[3,4],"9472222222222222":1,"94735055":[],"947903":[],"94790323":[],"948":[3,4],"9482527":5,"948641":[],"949":[3,4],"95":[1,7,11],"95008046":6,"95079764":6,"95231424":5,"9527777777777777":1,"95284275":5,"953065564":[],"95351665":5,"954":18,"9549351910143222":[],"954988":[],"954u":[],"9555555555555556":1,"95569422":[],"955820c21e8b":4,"956563":11,"95684892":5,"95703":13,"95714723":[],"957147232685324":[],"958228616652075":5,"958476":[],"95it":[],"96":[6,7,11],"960":18,"9601304850018328e":6,"960130485007504e":6,"960130485007934e":[],"9601304850213484e":[],"96024953":5,"96032148":16,"96084663":5,"961":18,"962":18,"9637117593816477":6,"96390357":[],"9640435":5,"964268":[],"96426825":[],"964735":[],"96473528":[],"96489434":[],"9649652536":4,"96527903":16,"96551427e":18,"965548":[],"96601782":[],"96606158":16,"96653373":[],"96686324e":18,"96688672":5,"9674916":5,"967809":11,"96863851":[],"96987657":[],"96992454":[],"97":7,"97005689":5,"970057":[],"97065296":[],"97108e":13,"97202":[],"9722222222222222":1,"97230501":[],"97243128":5,"97300836":5,"97497404e":6,"975":1,"97507735":5,"97547354":18,"97547354476579":18,"975510299261579":9,"9760832":[],"97705827":5,"977418":[],"97758848":5,"9777777777777777":1,"977880":[],"97788031":[],"9780387310732":20,"9780387848570":20,"9781492032632":20,"978553":5,"97898392":6,"97926491":5,"98":[0,1,7],"980":[],"98017611":13,"98036405":[],"9805555555555555":1,"98091621":5,"981321":[],"98139097":5,"98249059":[],"982491":[],"98266587":16,"98275501":5,"982758":[],"98275836":[],"983310":[],"98346748":[],"9835443722554817":5,"98399675":[],"98413059":5,"98454786":5,"98467494":5,"985":18,"98566191":5,"986":18,"9861111111111112":1,"986699":5,"98680716":5,"98716878":5,"98756882":13,"98794823":16,"9879924":[],"98808176":5,"98822371":6,"9888888888888889":1,"989":18,"9890348":5,"9893149172528393":[],"9893447":5,"9898254753574576":[],"98982548":[],"9898ff":[9,10],"99":[6,7,11,13],"990":[],"99009525":5,"9902552771282336":[],"99049330":6,"99088801":5,"991":18,"99115119":5,"99157584":[],"99176998":5,"992":18,"99242921":5,"99265097":5,"99274513":0,"993":18,"99316252":5,"99353454":[],"993535":[],"993537":[],"99353748":[],"99371056":5,"993865":[],"99389612":5,"993972":[],"99397245":[],"9943201":5,"99435648":[],"9947756":5,"99492986":5,"99519225":13,"99528218":5,"99539415":5,"9955282554647219":[],"99566069":5,"99578809":5,"99594988":[],"995950":[],"996":5,"99608161":5,"9963961":5,"99650061":5,"9967458":5,"99700706":5,"99709215":5,"99724883":[],"99729756":5,"99751458":5,"99758326":5,"99775587":5,"99775949":[],"99793613":5,"99799099":5,"99813653":5,"99828624":5,"99829953":[],"9983295":5,"99845267":5,"998577":5,"99861053":5,"99871521":5,"99881845":5,"99884384":5,"99893323":5,"999":[9,18],"99901896":5,"99903755":5,"99911427":5,"99918546":5,"99919837":5,"99926459":5,"9993237":5,"99933188":5,"99938942":5,"9994385":5,"99944272":5,"99949306":5,"99953381":5,"99953475":5,"99957911":5,"99961294":5,"99965056":5,"99967865":5,"99970988":5,"9997332":5,"99975913":5,"99977416":[],"99977849":5,"99980002":5,"9998161":5,"99984732":5,"99987324":5,"99989476":5,"99991263":5,"99992746":5,"99993978":5,"99995":5,"9999555851685968":6,"999955585168597":6,"9999840939906267":[],"9999858320366368":[],"9x":6,"9y":6,"\u00f8yvind":[6,19],"abstract":1,"boolean":4,"break":[0,4,6,11,14],"byte":16,"case":[0,1,2,3,4,5,6,7,11,12,13,14,15,16,17],"catch":0,"char":[],"class":[0,1,3,4,6,7,8,9,11,12,13,18],"const":[],"default":[0,1,2,4,6,7,13,16],"do":[0,2,3,4,5,6,8,9,10,11,12,13,14,16],"ekstr\u00f8m":4,"eng\u00f8i":19,"export":9,"f\u00f8470":19,"final":[0,1,2,3,4,5,6,7,8,9,10,11,13,14,17,18,19],"float":[0,3,4,5,9,11,13,14,16],"function":[2,3,4,5,9,14,15,16],"import":[0,1,2,3,4,6,7,8,9,10,11,12,13,14,18],"int":[0,1,2,3,4,5,6,11,13,14,16,18],"long":[0,1,3,4,12,13],"m\u00f8svatn":6,"new":[0,1,2,3,5,6,7,8,9,10,11,13,14,16],"null":[],"public":[0,15],"return":[0,1,2,3,4,5,6,7,8,9,11,13,14,16,18],"s\u00f8rli":[],"s\u00f8rlie":19,"sch\u00f8yen":[6,19],"short":[4,5],"steinsv\u00e5g":[],"super":[3,5],"switch":0,"throw":[3,6,18],"true":[0,1,2,3,4,5,6,7,8,9,10,12,13,14,16,18],"try":[0,1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,18],"var":[5,6,10,11,18],"while":[0,1,3,4,5,6,7,8,9,11,12,13,18],A:[2,3,5,6,7,10,11,12,13,15,16,17,18,19,20],AND:2,And:[0,3,4,5,6,9,15,18],As:[0,1,2,3,4,5,6,8,10,12,13,16,18],At:[0,4,6,13],BE:0,Be:[2,15],Being:13,But:[0,1,2,3,5,6,9,10,18],By:[0,3,5,6,12,13,16],For:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],IF:6,IN:20,If:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,16,18],In:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],Is:11,Ising:[5,12],It:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],Its:[1,2,4,11],NO:[7,11],No:[3,4,6,7,8,9],Not:[0,1,5,6,17],OR:18,Of:18,On:[0,3,17,18,20],One:[0,1,3,4,5,6,7,8,11,12,13,18],Or:[0,1,6],Such:[0,6,12,18],That:[0,5,7,10,11,12,14,18],The:[4,10,13,14,16,17,18,19,20],Then:[0,1,6,8,9,10,11,12,13,14,16],There:[0,3,4,5,6,8,9,11,12,14,16,17,18,19],These:[0,3,4,5,8,9,10,11,12,13,14,16,18],To:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,18],With:[0,5,6,8,9,10,11,12,14,16,18],_0:[5,8,10,11,13],_1:[2,5,6,8,10,11,12,13,14,16],_2:[2,5,8,11,12,13,16],_3:16,_4:16,_9:13,_:[0,1,2,4,5,6,7,8,9,10,11,12,13,16],_________________________________________________________________:4,__call__:[3,4],__class__:10,__doc__:6,__future__:[8,9],__getitem__:[],__init__:[1,3,4,14],__main__:2,__mosek:[],__name__:[2,10],__traceback__:[3,4],_asarrai:[],_auto10:[6,12],_auto12:6,_auto1:[2,3,4,5,6,7,12,13,16,18],_auto2:[2,3,4,5,6,12,13,16,18],_auto3:[3,4,5,6,12,13,16],_auto4:[4,6,12,13,16],_auto5:[4,6,12,13,16],_auto6:[4,6,12,16],_auto7:[4,6,12,16],_auto8:[6,12],_auto9:[6,12],_ax:[],_base:8,_build:[0,15,17,20],_build_call_output:[3,4],_c:1,_call:[3,4],_call_flat:[3,4],_check_1d:[],_check_optimize_result:[7,11],_compon:11,_coordinate_desc:6,_copy_docstring_and_deprec:[],_cpgg0jyh8m:17,_decor:0,_depth:9,_fraction:9,_get_lin:[],_getitem_multilevel:[],_handl:[3,4],_i:[0,1,2,5,6,8,11,12,13],_inference_funct:[3,4],_interpolatefunctionerror:[3,4],_is_primit:[],_j:[0,1,2,3,5,6,8,13],_jit_compil:[3,4],_k:13,_l:12,_lambda:6,_leaf:9,_logist:[7,11],_m:10,_make_vjp:[2,13],_maybe_define_funct:[3,4],_multilayer_perceptron:1,_n:[2,5,8,11,13],_node:[2,9,13],_notokstatusexcept:[3,4],_np:[],_num_output:[3,4],_p:[5,8],_plot_arg:[],_process_traceback_fram:[3,4],_r:[3,4],_ratio:11,_sampl:9,_select_forward_and_backward_funct:[3,4],_split:[6,9],_src:[3,4,14],_stateful_fn:[3,4],_stateless_fn:[3,4],_t:13,_test:6,_trace:[2,13],_valu:[2,13],_varianc:11,_weight:9,a0:3,a0faa0:[9,10],a1:0,a2:0,a3:0,a4:0,a_0:0,a_1a:0,a_2a:0,a_3:0,a_3a:0,a_4:0,a_4a:0,a_:[0,1,16],a_h:1,a_i:[0,1,2,12],a_j:[1,12],a_k:[0,1,12],a_ndim:2,aaron:20,ab:[0,2,5,13,14],ab_channel:15,abandon:1,abbrevi:17,abid:18,abil:[0,10],abl:[0,1,4,5,6,7,10,12,13],abort:[],about:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,16,20],abov:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,16,18],abovement:6,abscissa:13,absolut:[0,2,5,6,13],acceler:13,accept:[0,3,6,9],access:[0,3,4,11,18],accid:[4,6],accmod:[],accompani:0,accomplish:[8,9,13],accord:[0,1,2,5,6,9,12,13,14,18],accordingli:11,account:[0,3,5,13,18],accumul:[12,18],accur:[0,3,4,6,10,13],accuraci:[0,1,3,4,5,6,7,9,10,11,12],accuracy_scor:[0,1,10],accuracy_score_numpi:1,achiev:[0,1,5,6,8,12,16],aco:18,acquaint:15,acquir:[1,15],acr:0,across:[1,3,6,9,15],act:[1,3,16],action:18,activ:[0,2,3,4,9,17],actual:[0,1,4,5,6,8,11,16,18],ad:[1,3,4,5,8,13,16],ada_clf:10,adaboostclassifi:10,adadelta:13,adagrad:13,adam:[1,3,4],adapt:[4,6,13,20],add:[0,1,2,3,4,5,6,8,10,11,12,18],add_lin:[],add_outgrad:2,add_subplot:[1,7,12,14],addendum:5,addit:[0,2,3,5,6,7,8,9,10,12,13,15,16,18,19,20],addition:[12,13],address:[1,9,11,13,20],adjac:[3,12],adjoint:5,adjust:[0,5,12,13],admir:0,advanc:[4,6,12,20],advantag:[1,3,5,6,10,13,16],affect:3,affin:[0,3,8,11],afford:3,aforement:14,african:0,after:[0,1,2,4,5,6,9,11,12,13,15,16,18],afterward:0,ag:[0,7,17],ag_0:2,again:[0,1,4,5,6,7,8,10,11,12,13,18],against:[1,4,7,10],agegroup:7,agegroupmean:7,aggreg:[9,10],agorithm:10,agre:[5,6,18],ahead:9,ai:[0,20],aid:11,aim:[0,1,4,6,7,11,14,15,16],ainv:5,airplan:3,aka:5,al:[0,2,4,17,20],alarm:5,algebra:[0,3,5,13,15,17],algo:[],algorithm:[0,1,2,4,5,6,7,8,13,14,15,16,17,18,20],align:[0,2,5,6,7,8,13,18],all:[0,1,2,3,4,5,6,7,9,10,11,12,13,14,15,16,17,18,19,20],allevi:[1,13],alloc:[3,16],allow:[0,1,2,3,5,6,8,10,13,15,16],almost:[0,1,6,8,11,13,18],alon:[2,9],along:[2,3,4,5,6,9,10,11,15,16],alpha:[0,1,2,3,4,6,7,8,9,10,13,14,18],alpha_0:3,alpha_1:3,alpha_2:3,alpha_:10,alpha_i:[3,13],alpha_k:13,alpha_m:10,alpha_n:3,alpha_opt:13,alreadi:[2,3,4,5,6,10,12,15,16,18],also:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],alter:1,altern:[0,1,4,5,6,7,8,9,11,13,16],although:[0,1,5,6,8,10,13],alwai:[0,3,5,6,12,13,18],am:4,ame2016:0,american:0,among:[0,3,5,9,10,12,16],amongst:5,amount:[0,1,3,4,6,8,10,14,15],an:[1,2,3,5,6,7,8,9,11,12,13,14,15,16,18,19,20],an_:18,anaconda3:[],anaconda:[0,1,15],analog:13,analys:6,analysi:[1,3,4,7,14,16,17,20],analyt:[2,3,5,6,7,12,13,15],analyz:[0,1,3,4,5,6,18],andrew:1,angl:[0,3,9],anharmon:3,ani:[0,1,2,3,4,5,6,7,8,9,10,12,14,18],anim:[4,12],ann:12,annot:[0,1,3,7,8],anoth:[0,1,3,4,5,6,7,8,10,11,12,13,16,18],anp:2,ans_vspac:2,ansatz:0,answer:[0,1,3,5,6,16],antialias:[2,6],anticip:4,anymor:[1,8],anyon:[4,8],anyth:[1,18],anytim:19,apach:1,apart:[11,13],api:[1,15],appar:2,appear:[0,1,3,13,16,18],append:[1,3,4,8,9,13],appendcon:[],appendvar:[],appli:[0,1,2,3,4,6,7,8,9,10,11,12,13,18,20],applic:[0,1,3,4,5,6,7,9,12,13,16,17,18,20],apply_gradi:4,approach:[1,2,4,5,6,9,10,11,12,13,15,18,20],appropri:[2,6,9,12,13,15,18],approx:[0,2,3,6,10,11,13,18],approxim:[0,1,2,3,4,5,6,7,10,11,13,18],apt:[0,15],aq:18,ar:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20],arang:[1,3,4,6,7,9,10,12],arbitrari:[1,4,6,8,12,13,18],arbitrarili:[0,1,11],arc:6,architectur:[3,4,12,20],area:[0,3,6,20],arg:[0,2,3,4,13],argc:[],argmax:[1,11],argmin:[4,10,14],argnum:[2,13],argnum_0:2,argnum_1:2,argsort:11,argu:[1,13],argument:[0,2,3,5,6,11,12,13],argv:[],argval:2,aris:[0,6,12,13,18],arithmet:[0,13,16],arm:[3,4,6,14],arma:[],armadillo:16,around:[0,1,4,5,6,11,18],arr:2,arrai:[0,1,2,3,4,5,6,7,8,9,11,12,13,14,15,18],arrang:3,arraybox:13,arriv:[0,6,9,11,16,18],arrow:12,arrowprop:8,art3d:13,art:[0,1,15],articl:[0,3,4,6,10],artifici:[0,2,7,12,20],artificialneuron:12,arug:13,arxiv:[3,4],as_fram:[],asarrai:[0,2,6,9],asc:[],ascii:[],ashrafi:19,ask:[5,6,11,12],aspect:[0,6,15],assembl:[0,3],assert:4,assess:[0,6],assici:4,assign:[0,7,8,9,12,13,14,17,20],associ:[0,6,9,12,14,18],assum:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],assumpt:[0,3,5,6,9,11,18],ast:[0,5,6],astyp:[4,9,10],asymmetri:0,asymptot:[4,6],async_wait:[3,4],atoi:[],atom:0,attempt:[0,4,6,7,8,10],attend:17,attent:[0,16],attr:[3,4],attract:[0,10],attribut:[0,9],attributeerror:[],audi:0,audio:[3,4],aurelien:[0,17,20],austfjel:6,author:[0,1,10,18],authour:0,auto:[6,9,10,18],autocor:18,autocorrelation_tim:18,autocorrelform:18,autocovari:18,autoencod:[4,15],autoencond:15,autograd:15,autom:[0,15],automac:16,automat:[0,1,2,3,4,11,15,16,17],automobil:3,autonom:[4,20],avail:[0,1,4,6,10,11,15,16,17,20],averag:[0,1,3,6,9,10,13,14,18,19],avg:[],avoid:[0,4,5,6,9,11,13,16],avx2:[],avx:[],awai:[2,3,6],awar:[2,10],award:19,ax:[0,1,2,3,4,6,7,8,9,10,11,12,13,14,16],axes3d:[2,6,13],axes_grid1:6,axessubplot:[],axhlin:8,axi:[0,1,2,3,4,6,7,8,9,10,11,12,13,14,16,18],axiom:5,axlabel:0,axvlin:[4,8],axvspan:4,b1:8,b2:8,b3:8,b:[0,1,2,3,4,5,6,8,9,10,12,13,14,18,19],b_0:0,b_1:[0,2,12,13],b_2:[0,13],b_5:13,b_:[0,1,16],b_group:9,b_i:[0,1,2,12],b_ia_:0,b_ia_i:0,b_index:9,b_is_vec:2,b_j:[1,12],b_k:[0,1,12,13],b_m:12,b_meta:2,b_score:9,b_valu:9,bachelor:17,back:[0,3,4,5,6,8,9,10,16,17,18],backbon:16,backend:[1,4],background:[17,20],backpropag:1,backtrack:9,backup:16,backward:[1,2,4,12,16],backward_pass:2,bad:6,badli:18,bag:[9,15,17],bag_clf:10,baggingboot:10,baggingclassifi:10,baggingtre:10,balanc:6,band:16,bandwidth:16,bar:[0,6,11],barber:20,bare:[4,10],base:[0,1,3,4,5,7,8,9,10,14,15,18,19,20],basi:[5,7,8,10,11,12,13,16],basic:[6,8,12,13,14,15,17,18],batch:[3,4,11,12,13],batch_shap:4,batch_siz:[1,3,4],batchnorm:4,bay:7,bayesian:[5,15,20],bc298b802fe2:6,becaus:[0,1,2,3,4,5,6,8,9,12,13,14],becom:[0,1,2,5,6,7,9,12,13,18],been:[0,1,2,3,4,5,6,11,12,13,15,16],befor:[0,1,2,3,4,5,6,7,8,12,13,14,16,18],beforehand:[0,18],begin:[0,1,2,3,4,5,6,7,8,9,11,12,13,14,16,18],behav:[1,6,13],behavior:[0,1,13],behaviour:12,behind:[0,1,6,8,13],behnoosh:19,being:[0,1,2,3,4,5,7,8,10,11,12,13,18],believ:[9,16],belong:[7,8,9,13,14],below:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,18],benchmark:10,bendik:[],benefici:[1,13],benefit:[0,1,4,11,13,15],bengio:[1,17,20],benign:[1,7],bennosh:19,besid:[4,5],bessel:5,best:[0,1,2,3,4,5,6,7,8,9,10,12,13,19],beta:[0,1,3,5,6,7,10,11,13],beta_0:[0,1,3,5,6,7,13],beta_0x_:0,beta_1:[0,1,3,5,6,7,10,13],beta_1x_0:0,beta_1x_1:[0,7],beta_1x_2:0,beta_1x_:0,beta_1x_i:[7,13],beta_2:[0,3,13],beta_2x_0:0,beta_2x_1:0,beta_2x_2:[0,7],beta_2x_:0,beta_3:3,beta_:[0,3,6,7,13],beta_i:[0,3,5],beta_j:[0,5,6,13],beta_k:13,beta_linreg:13,beta_m:10,beta_mg_m:10,beta_n:3,beta_p:7,beta_px_p:7,betavalu:5,better:[0,1,2,3,4,6,9,10,11,12,13],between:[0,1,2,3,4,5,6,7,8,9,11,12,13,14,18],beyond:[0,1,5,6,8,13],bf:[13,14,16,18],bgd:13,bia:[0,1,2,3,5,8,9,10,12,13,17],bias:[1,2,3,5,6,9,12],big:[0,1,2,5,6,14],bigger:[1,6],bigr:12,bike:9,bilek:19,billion:[3,12,15],bin:[0,7,18],binari:[0,3,5,7,9,10,12,17],binarycrossentropi:4,bind:0,binomi:[15,18],binsboot:6,bioinformat:0,biolog:[1,12,20],bios1100:15,bird:[0,3],bishop:[17,20],bit:[1,4,16,18],bitwis:18,bivari:2,bk:[0,13],bla:16,black:[8,9,14],blob:17,block:[6,10,15,16,18],blockingavg:[],blockingstd:[],blockingvar:[],blocksiz:[],blocksizemax:[],blocksizemin:[],blogpost:4,blue:[0,3],bmatrix:[0,1,3,5,7,8,11,13,16],bmi:1,bodi:[0,1,4,12],bold:1,boldfac:[0,5],boldsymbol:[0,1,2,3,5,6,7,8,10,11,13,14],boltzmann:[12,15],book:[17,20],boost:[1,9,15,17],boostrap:10,bootavg:[],bootstd:[],bootstrap:[1,13,15,17],bootvar:[],bootvec:[],boston_dataset:0,bot:8,both:[0,1,4,5,6,8,9,10,13,14,15,16,18,19],bottl:7,bound:[0,8,12],boundari:[2,4,8,11,12],boundkei:[],box:[2,4,9],boxed_arg:2,boyd:[8,13],bracket:[4,18],brain:[1,7,12],branch:9,breast:[5,7,11],breviti:13,brew:[0,15],brg:8,briefli:0,bring:[0,5,6,10],broad:[0,3,4],brought:15,brownle:4,brute:[3,5,11],bs:[8,9,10],buffer_s:4,bui:4,build:[0,4,5,6,10,13,16,18],built:[0,1,3,4,6],bunch:11,busi:0,bx:[],bzl:[],c1:[8,11],c2:[8,11],c95af3df0cdd:3,c:[0,1,2,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20],c_0:18,c_1:12,c_2:12,c_3:12,c_4:12,c_:[0,8,9,10,13,18],c_i:[12,13],c_k:18,ca:1,cabc613b8702:13,cach:10,cal:[0,8,10,12,13],calcul:[0,1,2,4,5,6,8,9,10,11,12,13,14,16,18],california:[],call:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],callabl:[3,4],callback:[3,4],calor:0,cambridg:[13,20],can:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],cancel:[0,13],cancellation_manag:[3,4],cancer:[5,10],cancerpd:7,candid:[8,9,10],cannot:[0,1,4,5,6,7,8,9,17,18],canopi:[0,15],cap:5,capabl:[0,1,8,13,15],capac:2,capita:0,captur:[4,11,12],captured_input:[3,4],car:[3,4],card:[0,7],cardin:1,care:11,carefulli:13,carlo:[0,6,15,18,20],carri:[2,6,7],cart:10,carvalho:19,casella:20,cast:1,cat:[3,4],categor:[0,1,3,9,11],categori:[0,1,3,7,10,12,14,17],categorical_crossentropi:[1,3],caus:[0,5,6,18],causal:0,causat:0,cax:1,cb:6,cbar:1,cbook:[],cc:[0,1,5,13],ccc:[5,12],cd_fast:6,cdf:18,cdot:[0,2,6,12,13,14,16,18],celebr:13,cell:4,center:[0,1,6,7,8,9,11,14,18],centr:20,central:[0,3,5,6,8,16],centroid:[14,18],centroid_differ:14,centuri:3,certain:[0,3,6,7,9,18],cg:13,cha:0,chain:[0,1,13,15,18],chanc:[1,5,13,18],chang:[0,1,2,3,4,5,6,8,9,11,12,13,14,16,18],channel:3,chapter3:0,chapter:[0,6,10,11,16,17,20],charact:[0,3,5],character:[8,9,10,12,18],characterist:[0,1,3,10,13],charg:0,charl:0,chase:4,chd:7,chddata:7,cheap:5,cheaper:[1,13],check:[0,1,3,4,5,6,11,13,16],checkmark:3,checkpoint:4,checkpoint_dir:4,checkpoint_prefix:4,chemic:[],chen:10,chiaramont:2,choic:[0,1,2,3,4,6,9,12,13,14,16],choleski:[5,16],choos:[2,3,6,9,10,11,13,14],chosen:[0,1,2,6,8,9,10,13,18],chosen_datapoint:1,christian:20,christoph:[17,20],cifar10:3,cifar:3,cin:[],circ:[1,12],circl:[0,8,12],circuit:3,circumfer:9,circumv:[1,5,13],ckpt:4,clariti:18,class_nam:[3,9],class_val:9,class_valu:9,class_weight:[3,4],classic:[7,9,13],classif:[0,3,5,6,7,8,11,12,15,17,20],classifi:[0,1,4,7,9,10,11],classificaton:1,classifii:10,clean:1,clear:[1,5,10,12,13],clearli:[0,3,5,6,7,8,18],clever:[1,10],clf3:0,clf:[0,6,8,9,10],clf_lasso:6,clf_ridg:6,clip:[3,18],close:[0,1,2,4,6,8,9,11,12,13,14,18,20],closer:[3,5,13],closest:[8,11,13,14],closur:15,cloud:15,cluster:[0,1,4,6,11,15,17],cluster_label:14,cm:[1,2,3,6,8,13],cmap:[0,1,2,3,4,6,8,9,10],cmap_arg:6,cmath:[],cmb:17,cmd:9,cmu:[],cn_:18,cnn:[12,17],cnn_kera:3,cntk:15,co:[0,2,3,6,9,13],code:[3,4,6,7,8,13,15,16,17,18,20],coef0:8,coef:0,coef_:[0,5,6,8,9,13],coeff:5,coeffici:[0,3,5,6,7,8,9,13,16],coerc:[0,6],coin:[10,18],coin_toss:10,col:[0,11],colab:15,cold:9,colinear:0,collaps:8,collect:[0,2,6,10,11,15,18,20],collinear:5,color:[0,3,4,6,8,9,10,18],color_channel:3,color_cod:6,colorbar:[1,6],colsample_bytre:10,colsaobject:10,colspec:0,column:[0,1,2,5,6,7,8,9,11,12,16],columntransform:9,com:[3,4,6,14,15,17,20],combin:[1,2,5,6,7,10,18],come:[0,1,3,4,5,12,13,14,17],command:[0,1],comment:[0,4,5,6],commerci:[0,15],commod:0,common:[0,1,3,5,6,7,9,11,13,14,18],commonli:[0,1,4,6,7,9,13,14],commun:[0,12],commut:3,commutatitav:3,compact:[0,1,3,5,6,7,9,11,12,13,14],compair:0,compar:[0,3,4,5,6,11,13,16],comparison:[2,4,13],compat:7,compet:0,competit:10,compil:[0,1,3,4,15,16],complet:[0,2,3,4,9,12],completenn:12,complex:[1,5,8,9,11,12,13],complic:[0,1,9,13],compon:[0,1,3,4,5,6,7,9,14,15,17],components_:11,compos:[9,12,14,15],compphys:[0,6,15,17,20],compress:0,compris:6,compromis:5,compulsori:15,comput:[0,1,2,3,4,5,6,7,8,10,11,12,13,15,16,17,18,20],computation:[0,3,6,9,13,18],con:[],concaten:[2,4,6,14],concav:[1,13],concentr:[0,10],concept:[0,2,15],conceptu:[12,13],concern:[0,1,4,7],conclud:[0,5,13],conclus:1,cond:2,conda:[0,1,15],condit:[0,2,4,5,6,8,9,11,13,18],conduct:15,condwav:2,coneqp:[],confid:[0,5,6,7,8],configur:3,confirm:[5,12],confus:[5,6,10,16],confusion_matrix:9,congruenti:18,conjug:[4,8],conjugaci:13,conjunct:3,connect:[0,1,3,4,9,11,12,13,16],consequ:[5,6,8,10,12,13],conserv:[5,14],consid:[0,1,2,3,5,6,7,8,9,10,12,13,16,18],consider:[0,1,5,13],consist:[0,1,2,3,4,6,12,13,18],constant:[0,2,4,5,6,8,12,13,18],constitu:0,constitut:[2,6],constrain:[1,3,5,7,11],constraint:[5,6,8,13],construct:[0,1,2,3,5,6,7,8,9,10,11,16,18,20],contact:0,contain:[0,2,3,4,5,6,7,8,9,11,12,13,16,18,20],contemporari:20,content:[1,15,16],context:[3,4,6,10,13],contigu:16,continu:[0,1,2,3,4,5,6,7,8,9,10,12,13,16,18],contour:[9,10,13],contourf:[8,9,10],contrast:[1,4,9,10,12],contribut:[0,3,5,13,18],contributor:0,control:[0,1,3,9,13,15],conv2d:[3,4],conv2dtranspos:4,conv:[3,4],conveni:[0,5,6,12,13,16],convent:12,converg:[1,2,4,5,6,7,8,11,13,14],convergencewarn:[1,6,7,8,11],convert:[0,1,4,5,9,11,13,16],converttomatrix:4,convex:[4,5,7],convinc:13,convolut:[1,4,15,17],cool:[4,9],coolwarm:6,coordin:[5,12,14],coorel:0,copi:[0,1,14],core:[2,3,4,10,13],corel:0,coronari:7,corr:[0,5,7,11],correalt:[11,15],correct:[0,1,2,3,4,5,13,16,18],correctli:[1,2,6,10],correl:[0,1,3,5,6,7,10,12,13,15,18],correlation_matrix:[0,5,7,11],correspond:[0,3,5,6,8,9,11,12,15,16,18],cortex:12,cosin:[3,6],cost:[0,2,3,5,6,7,8,9,12,13],cost_deep_grad:2,cost_funct:2,cost_function_deep:2,cost_function_deep_grad:2,cost_function_grad:2,cost_grad:2,cost_sum:2,costol:13,could:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,18],coulomb:0,count:[0,9,17,18,19],countor:13,coupl:[4,5,6],cours:[0,1,3,5,11,17],courvil:[17,20],cout:[],cov:[5,6,11,16,18],cov_xi:[5,11],cov_xx:[5,11],cov_yi:[5,11],covari:[0,7,15,16],covariance_matrix:[5,11,14],cover:[0,5,15,17,20],covert:0,covxi:18,covxx:18,covxz:18,covyi:18,covyz:18,covzz:18,cpu:1,cpu_feature_guard:[],craft:3,creat:[1,2,3,4,5,6,9,10,11,12,13,15],create_biases_and_weight:1,create_convolutional_neural_network_kera:3,create_neural_network_kera:1,create_x:[5,11],credit:[0,7],crim:0,crime:0,criteria:[0,4,9,10,14,18],criterion:[9,10,13],critic:6,cross:[0,1,3,7,9,10,13,15,17,18],cross_entropi:4,cross_val_scor:6,cross_valid:[7,10],crossvalid:6,crucial:[1,18],cs231:3,cs:17,csr_matrix:16,cstdlib:[],csv:[0,4,6,7,9],ctnk:1,ctx:[3,4],cubic:0,cumbersom:5,cumsum:[10,11],cumul:[10,18],cumulative_heads_ratio:10,cup:5,current:[1,2,3,4,6,13,14],curs:0,curv:[6,7,10,12],curvatur:13,custom:[6,14],custom_cmap2:[9,10],custom_cmap:[9,10],cutpoint:9,cv:[6,7,10],cvxbook:13,cvxopt:[5,8],cyber:20,cycl:[1,12],d1:[],d2:[],d2_g_t:2,d3:[],d670a873ab0c:[],d985fb40c43d:6,d:[1,2,3,4,5,6,7,8,9,10,11,13,14,16,18,19],d_f:13,d_g_t:2,d_net_out:2,da:3,dagger:[5,16],dai:[1,9,15],dalen:[],damp:3,darget:9,darkr:18,dat:0,dat_id:[0,6,7,9],data1:14,data2:14,data3:14,data4:14,data:[2,4,5,8,10,12,13,14,16,20],data_handl:[3,4],data_id:[0,6,7,9],data_indic:1,data_modul:[],data_path:[0,6,7,9],data_url:[],databas:1,datafil:[0,6,7,9],datafram:[0,4,5,7,9,11],datapoint:[1,5,6,7,11,13],dataset:[0,4,6,7,8,9,10,11,13,14],datatyp:4,date:0,daughter:10,david:20,dbh:1,dbo:1,dcomposit:16,ddot:2,dead:1,deadlin:17,deal:[0,1,3,5,6,8,11,13,14,16,18],dealt:0,debt:7,debug:[0,5,6],decad:[0,3],decai:[0,13,18],decemb:17,decent:10,decid:[0,2,3,5,6,9],decim:0,decis:[0,1,8,11,15,17,20],decision_funct:8,decision_tre:9,decisiontreeclassifi:[9,10],decisiontreeregressor:[0,9,10],declar:[0,4,16],decompos:[5,6,16],decomposit:[0,6,12,17],decompost:5,deconvolut:3,decorrel:[10,13],decreas:[1,2,4,5,6,10,11,13],deduc:0,deep:[3,7,12,13,15,17,20],deep_neural_network:2,deep_param:2,deep_tree_clf1:9,deep_tree_clf2:9,deep_tree_clf:[9,10],deepen:[5,15],deeper:[0,3,4],deeplearningbook:20,deer:3,def:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,18],def_covari:18,def_funct:[3,4],default_tim:4,defect:5,defici:5,defin:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],definit:[1,2,5,6,8,10,11,12,13,16,18],defint:18,defun:[3,4],defvjp:2,degre:[3,5,6,8,9,10,11,18],del:1,delet:6,delimit:4,deliv:17,delta:[0,2,3,6,8,12,13,14],delta_0:3,delta_1:3,delta_2:3,delta_3:3,delta_4:3,delta_5:3,delta_:[1,16],delta_h:[0,1],delta_j:[3,12],delta_k:12,delta_l:[1,3],delta_n:[0,3],delug:15,delv:0,demand:13,demonstr:[0,3,5,6,7,11,12,15],den:4,denomin:[1,5],denot:[1,2,6,7,13,18],dens:[1,3,4],dense_1:4,densiti:[0,2,6,18],depart:19,depend:[0,1,2,4,5,6,7,8,11,12,13,15,16,18],depict:18,deploy:[0,15],deprec:[2,3,6,13],depth:[0,3,9,10,16],deriv:[0,1,2,6,7,8,10,11,13,15],derivati:13,descend:[5,9,11],descent:[0,1,3,7,8,12,17],descr:[],describ:[0,2,4,5,6,8,10,11,12,13,16],descript:[0,8,9],design:[0,1,3,4,5,6,7,10,11,12,13],designmatrix:0,desir:[0,2,4,5,13,14],despit:[1,12],destroi:16,det:[5,16],detail:[0,6,11,13,14,16],detect:[3,8,12],determin:[0,2,3,4,5,6,8,9,10,11,12,13,16,18],determinist:[7,13,18],dev:1,develop:[0,3,5,8,10,11,12,15,16,17],deviat:[0,1,2,4,5,6,18],device_nam:[3,4],devis:12,df:[4,8,11,13],di:0,diag:[5,8],diagnost:[1,10],diagon:[0,5,7,13,16,18],diagonaliz:5,diagram:10,diagsvd:6,dice:[6,18],dict:[6,8],dict_kei:[],dictionari:0,did:[0,1,5,6,7,10,11,14],die:1,diff1:2,diff2:2,diff:2,diff_ag:2,diffeent:8,differ:[0,1,2,3,4,5,6,9,10,11,12,13,14,15,16,18,20],differenti:[0,3,15,16,17],differential_oper:[2,13],difficult:[0,1,6,10,13,18],difficulti:[0,1,13],diffonedim:2,digit:[0,1,3,4,6,17,19],dilemma:13,dilut:1,dim:[4,11,14,16],dimens:[0,1,2,3,4,5,8,11,14,16],dimension:[0,4,5,6,9,11,13,14,15,16],dimensionless:[0,3],diment:16,dimnsion:4,diod:3,direct:[0,1,2,4,11,12,13,14],directli:[1,4,5,6,18],directori:[],disabl:[3,4],disadvantag:0,disappear:[3,6],disc_loss:4,disc_tap:4,discard:[6,11],disciplin:[0,3,12],disclaim:18,discourag:13,discov:0,discover:5,discret:[1,3,5,7,13],discrimin:[4,7,10,11],discriminator_loss:4,discriminator_loss_list:4,discriminator_model:4,discriminator_optim:4,discuss:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],diseas:7,disguis:6,disord:[1,7],displai:[0,1,3,4,5,6,7,8,9,10,11,12,14,18],displaystyl:[0,5],displot:[],disregard:0,dissimilar:[11,14],dist:14,distanc:[0,8,9,11,14,18],distance_list:9,distinct:[3,7,8,9,10,14],distinctli:8,distinguish:[0,4,7,8,18],distplot:0,distribut:[0,1,4,6,7,10,11,13,14,15,16],distrubut:[0,15],div:[],dive:[0,8,16],diverg:[1,13],divid:[0,1,3,5,6,8,9,11,12,18],divis:[6,8,9,13,16,18],dna:7,dnn1:4,dnn2_gru2:4,dnn:[0,1,2,4,12],dnn_kera:1,dnn_model:1,dnn_numpi:1,dnn_scikit:[0,1],doc:[0,6,15,17,20],document:[4,7,11,13],doe:[0,1,2,3,4,5,6,8,10,11,12,13,16,18],doesn:[3,9,12],dog:[1,3,4],domain:[5,8,13],domin:0,don:[0,1,3,5,6,8,11,13,15],done:[0,2,3,4,5,6,9,10,11,13,16],dot:[0,2,3,5,6,7,8,9,10,11,12,13,16,18],doubl:[3,4,16],doubli:1,down:[0,3,6,9,11,12,13],download:[0,1,3,5,6,16,20],downsampl:3,dozen:1,dq:6,drag:13,dramat:11,drastic:4,draw:[4,6,10,13],drawback:[0,1,3,13],drawn:[1,4,6,7,11,18],drive:[3,4],driven:3,drop:[0,1,5,6,11,13,18],dropna:[0,6],dropout:4,ds:[],dt:[2,3,13,18],dtype:[0,1,2,3,4,14,16],dualiti:6,dub:0,due:[1,2,5,6,8,10,12,13],dummi:0,dure:[0,1,3,4,8,9,11,15],dwell:0,dwh:1,dwo:1,dx:[2,3,8,18],dx_1:18,dx_1p:6,dx_2p:6,dx_mp:6,dx_n:18,dxp:6,dy:[1,8,18],dynam:4,dysth:19,dz:8,e:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,19],e_:[0,2],each:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19],eager:[3,4],eapprox:0,earli:[1,3,4,13],earlier:[0,5,7,8,9,11,12,13],earthexplor:6,eas:[6,9,14],easi:[0,5,6,7,8,9,10,11,12,13,15,16],easier:[5,6,8,9,13,18],easiest:13,easili:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16],eastern:19,ebind:0,eblock:9,economi:5,ecosystem:15,ect:17,edg:3,edgecolor:6,edu:13,educ:0,eface79dac2c:10,eff:18,effect:[1,4,10,13,18],effic:1,effici:[0,3,10,13,15,16,18],efron:6,egrad:13,eig:[5,11,13,16,18],eigen:18,eigenpair:[5,11],eigenvalu:[0,5,8,11,13,16],eigenvector:[5,11,13],eight:16,eigval:[16,18],eigvalu:[11,13],eigvec:[16,18],eigvector:[11,13],eispack:16,either:[1,5,6,7,8,9,10,11,13,18],ekstrom:[],elabor:18,elarn:3,electr:[0,3,12],electur:20,eleg:11,element:[1,2,3,4,5,6,7,8,11,12,13,15,16,17,20],elementari:[10,13,16],elementwis:[3,13],elementwise_grad:[2,13],elif:[2,3,4,14],elim:16,elimin:[3,8],els:[1,2,3,4,7,9,12,13,16],elu:1,elus:0,email:[17,19],embed:[0,11],embodi:6,emit:18,emner:[17,20],emphas:[0,10,15],emphasi:[0,15,20],empir:[1,11,18],emploi:[0,1,5,6,11,13,18],employ:0,empti:[6,10],emul:12,en:[15,20],enabl:11,enbodi:6,encod:[0,3,5,9,11,14],encompass:[0,18],encount:[0,1,5,6,7,13,18],end:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],end_box:[2,13],end_nod:[2,13],end_valu:[2,13],endl:[],endpoint:[3,6],energi:[0,4,6],enet_coordinate_desc:6,enforc:12,eng:20,engin:[0,1,3,4,15],english:20,enorm:3,enough:[0,6,13],ensembl:[1,9,17],ensur:[0,1,2,3,5,6,11,13,18],ensure_initi:[3,4],enter:[5,6],enthought:[0,15],entir:[1,3,7,9,15,18],entiti:[9,12,16],entri:[0,5,8,11,12,16],entropi:[1,3,7,10,13],enumer:[0,1,2,3,4,6,8],env:[0,1,2,3,4,6,7,8,11,13,14,18],environ:[2,15,20],eo:[0,6],eol:0,eosfit:0,epoch:[0,1,3,4,12,13],epsilon:[0,5,6,7,13],epsilon_0:0,epsilon_1:0,epsilon_2:0,epsilon_:0,epsilon_i:0,eq:[3,13,14,16,18],eqnarrai:[3,5,6],equal:[0,1,2,3,4,5,6,8,9,11,12,13,14,16,18],equat:[1,3,4,5,6,7,8,9,10,11,13,14,16,17,18],equilibrium:[2,12],equiv:[3,13,16,18],equival:[0,1,5,8,11,13,15,16],erf:18,err:[0,10],err_:6,err_sqr:2,errat:13,errno:[],erron:2,error:[1,2,4,5,6,7,9,11,12,13,15,16,18],error_estimate_corr_tim:18,error_handl:[3,4],error_hidden:1,error_output:1,escap:13,especi:[1,3,9,12,13],essenti:[0,5,6,9,10,12,14,17,18],establish:[0,6,10,11],estim:[0,1,5,6,7,10,11,13,15,18],estimated_mse_fold:6,estimated_mse_kfold:6,estimated_mse_sklearn:6,et:[0,2,4,17,20],eta0:[8,13],eta:[0,1,3,8,12,13],eta_:13,eta_t:13,eta_v:[0,1,3],etc:[0,1,3,5,7,8,9,11,12,13,14,15,16,18],ethic:15,etsim:6,euclidean:[0,14],evalu:[0,2,3,4,5,6,9,13,18],evalut:13,even:[0,1,3,4,5,6,8,9,10,11,12,13,14,15,16,18],evenli:4,event:[3,4,5,7,10,14,18],eventu:[0,5,6,11,12,13,19],everi:[0,1,2,3,4,5,6,9,10,11,12,13,14,15,18],everyth:[4,12],everywher:[4,13],evolv:0,exact:[0,2,5,11,12,13,16,18],exactli:[0,3,4,6,12,15],examin:6,exampl:[5,11,12,13,15,16,17,18,20],exce:[1,12,13],excel:[0,1,4,5,10,20],except:[3,4,6,8,9,16],excess:0,excit:0,exclud:[1,6,12],exclus:[0,1,3,6,18],execut:[2,3,4,5,13],executing_eagerli:[3,4],exemplifi:13,exercis:[5,15,17],exhaust:6,exhibit:[0,5,6,8],exist:[0,1,2,3,5,6,7,8,9,13,16,20],exit:[5,16],exp:[0,1,2,5,6,7,8,10,11,12,13,18],exp_term:1,expand:[5,7,11,13],expans:[0,3,5,8,10,12,13],expect:[0,1,5,6,7,11,12,13,15],expectation_value_of_h_wrt_p:18,expens:[6,10,13],experi:[0,1,6,8,13,15],experiment:[0,3,4,6,9,14,18],experimental_get_tracing_count:[3,4],expert:[1,9],explain:[0,6,9,10,11,13],explained_variance_ratio_:11,explanatori:0,explicit:[0,3,6,13,16],explicitli:[0,4],explod:1,exploit:[0,3,12,13],explor:[1,4,6,8,13,15],expon:1,exponenti:[0,1,5,6,10,13,18],export_graphviz:9,export_text:9,exporttext:9,expos:15,express:[0,2,3,5,6,7,10,12,13,16,18],exptmean:18,exptvari:18,extend:[0,2,7,11,13,15],extens:[0,12,15],extent:[0,1,6,20],extern:[3,6,9],extra:[1,3,5],extract:[0,3,5,6,7,8,11,13,16],extrapol:0,extrem:[0,1,4,5,6,7,8,9,13,16],extremum:13,extrins:11,ey:[0,5,6,13,14,16],f11:0,f12:0,f13:0,f1:13,f1_grad:13,f1d:13,f2:13,f2_grad_x1:13,f2_grad_x1_analyt:13,f2_grad_x2:13,f2_grad_x2_analyt:13,f3:13,f3_grad:13,f3_grad_analyt:13,f4:13,f4_grad:13,f4_grad_analyt:13,f5:13,f5_grad:13,f6:13,f6_for:13,f6_for_grad:13,f6_grad_analyt:13,f6_while:13,f6_while_grad:13,f6d7a289d493:[],f7:13,f7_grad:13,f7_grad_analyt:13,f8:13,f8_grad:13,f9:[0,13],f9_altern:13,f9_alternative_grad:13,f9_grad:13,f:[0,1,2,3,4,5,6,7,8,10,12,13,14,16,18,19],f_0:[3,10],f_1:[10,13],f_2:[12,13],f_3:12,f_:10,f_d:18,f_grad:13,f_grad_analyt:13,f_i:[0,6,12],f_m:[3,10],f_n:3,f_raw:2,f_vec:2,f_wrap:2,face:13,facecolor:[6,8,18],facil:[0,15],facilit:12,fact:[0,1,3,5,9,11,12,13],factor:[0,1,3,5,6,9,10,11,13,16,18],factori:13,fade:6,fafab0:[9,10],fail:[0,6,7,8,11,13,19],failur:7,fairli:[1,2,18],fake:4,fake_loss:4,fake_output:4,fall:[8,9,17],fals:[0,1,2,3,4,5,6,7,9,10,13,14,16],famili:[0,7,8,18],familiar:[0,3,5,6,8,15,16,18],famou:[6,12],far:[0,3,4,5,6,8,11,12,13,14],fashion:[0,9,10],fast:[1,3,6,10,12,13,15,18],faster:[1,11,13],fastest:[13,16],favor:7,favorit:18,fc:3,fdf8a5d7c717:2,fdfcc778e1f8:4,fe5b9d300cc0:6,featur:[0,1,3,5,6,7,8,10,11,12,13,15,18],feature_nam:[0,1,7,9],feautur:9,fed:1,feed:[0,2,3,11,15,17],feed_forward:1,feed_forward_out:1,feed_forward_train:1,feedback:4,feeddorward:4,feedforward:[1,4,12],feel:[0,5,6,11,13,15,19],feet:0,fetch:6,fetch_california_h:[],fetch_openml:[],few:[1,3,4,5,9,18],fewer:[0,9,11],ffnn:[1,12],field:[0,3,6,12,15],fifth:[0,6],fig:[0,1,2,3,4,6,7,12,13,14],fig_id:[0,6,7,9],figaxi:18,figsiz:[0,1,2,3,4,6,7,8,9,10],figur:[0,1,2,3,4,5,6,7,8,9,10,12,13,14,15],figure_id:[0,6,7,9],figurefil:[0,6,7,9],file:[0,1,2,4,5,6,7,9],file_prefix:4,filenam:[],filenotfounderror:[],fileout:[],filepath_or_buff:0,fill:[5,9],filter:[3,4],filtered_flat_arg:[3,4],filtered_tb:[3,4],financ:0,find:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,15,18],find_top_boxed_arg:2,fine:[0,14],finish:2,finit:[3,5,6,12,13,18],first:[0,1,2,3,5,6,7,8,9,10,11,13,14,16,17,18,20],firsteigvector:11,fit:[1,3,4,5,6,7,8,9,11,12,13,18],fit_beta:6,fit_intercept:[0,5,6],fit_mod:9,fit_transform:[0,6,8,9,11],fiti:0,five:[0,9],fix:[0,3,4,6,10,11,12,13],fixedformatt:6,fixedloc:6,fkkt:[],flag:4,flat:[12,13],flatten:[1,3,4,5,16],flexibl:[1,6,8,10,12],float32:[4,9],float64:[4,16],flop:[5,16],flow:[1,4,12],fluctuat:5,fly:11,flyvbjerg:[],fm:0,fma:[],fmax:3,fmesh:13,fn:[3,4],focu:[0,3,4,5,6,15,20],focus:[1,6,7,16],fold:[6,9],folder:[0,4,6],follow:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20],font:[0,7,18],fontdict:18,fontsiz:[1,6,8,9,10,18],fontweight:1,footprint:3,foral:8,forc:[0,5,6,10,11],forcast:4,forecast:[4,12],forelesningsvideo:17,forest:[0,1,9,15,17],forget:11,form:[0,3,4,5,6,7,8,9,11,12,13,15,16,18],formal:[3,4,14,18],format:[0,1,2,3,4,6,7,8,9,10,11,15,18,20],format_data:4,formatstrformatt:[6,13],formul:[4,6,11,14],formula:[3,13,18],forth:[4,12],fortran2003:15,fortran90:18,fortran:[0,15,16],fortun:[0,11],forward:[0,3,6,15,16,17],forward_backward:[3,4],found:[1,2,4,5,6,12,13],foundat:15,four:[4,5,6,8,12,16,17],fourier:0,fourierdef1:3,fourierdef2:3,fourierseriessign:3,fourth:12,fr:[],frac:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,16,18],fractal:[],fraction:9,frame:7,framework:[1,8,10,18],frank:[5,11],frankefunct:[5,6,11],free:[0,6,11,13,15,16,18,19,20],freecodecamp:15,freedom:5,freeli:0,frequenc:[3,6,7,18],frequent:[0,8,9,13],frequentist:15,fresh:10,frida:19,fridai:17,friedman:[6,17,20],friendli:4,frog:3,from:[0,1,2,3,4,6,7,8,9,11,13,14,15,16,17,18,19,20],from_cod:9,from_logit:[3,4],from_tensor_slic:4,fromnumer:2,front:[0,4,5],fstream:[],fulfil:[2,5,12],full:[0,1,3,5,7,9,10,13,18],full_matric:5,fulli:[3,6,12,17,18],fun:[2,13,15],fun_nam:[],func:[0,2],functionali:11,fundament:[0,6,15],funtion:2,further:[2,9],furthermor:[0,3,5,6,7,11,12,13,15],futur:[0,4,8,9],futurewarn:[],fx:[],fy:[17,19],g0:2,g42mrgv128v34gnnhxwk9nrc0000gp:[],g:[0,1,2,3,4,6,8,9,10,11,13,18],g_0:2,g_1:[2,10],g_2:[2,10],g_:[2,9,10],g_analyt:2,g_dnn_ag:2,g_euler:2,g_i:2,g_m:[3,10],g_n:3,g_re:2,g_t:2,g_t_d2t:2,g_t_d2x:2,g_t_dt:2,g_t_hessian:2,g_t_hessian_func:2,g_t_jacobian:2,g_t_jacobian_func:2,g_trial:2,g_trial_deep:2,g_vec:2,gain:[1,5,9,10,13],galleri:0,game:4,gamma1:8,gamma2:8,gamma:[0,2,8,9,10,11,13],gamma_0:10,gamma_1:10,gamma_1x:10,gamma_:0,gamma_i:[0,8,18],gamma_j:13,gamma_k:13,gamma_m:10,gamma_x:0,gap:[6,8],gate:[4,12],gather:[0,1,12],gaug:12,gaussbacksub:16,gaussian:[4,5,6,8,14,18],gaussian_point:14,gaussian_rbf:8,gave:13,gbc:17,gca:[2,6,8,13],gd:1,gd_clf:10,gdclassiffiercgain:10,gdclassiffierconfus:10,gdclassiffierroc:10,gdm:13,gdregress:10,ge:[1,5,7,18],gemv:[],gen:[],gen_loss:4,gen_tap:4,gender:0,genener:4,gener:[0,1,2,3,5,6,8,10,11,12,13,14,16,18,20],generallay:12,generate_and_save_imag:4,generate_imag:4,generate_latent_point:4,generate_simple_clustering_dataset:14,generated_imag:4,generator_loss:4,generator_loss_list:4,generator_model:4,generator_optim:4,genexpr:[],genom:15,geodes:11,geometr:[0,13],geometri:5,georg:20,geotif:6,geq:[2,5,8,9,13],geron:[0,17,20],get:[0,1,2,3,4,5,6,7,9,10,11,13,15,16,18],get_dummi:9,get_loc:[],get_next_color:[],get_paramet:2,get_split:9,get_yaxi:8,get_yticklabel:6,getsolutionslic:[],getval:[],gg:[],gibb:15,gif:4,gini:10,gini_index:9,git:[0,15],github:[0,3,4,6,14,15,17,20],gitlab:[0,15],give:[0,1,2,3,5,6,7,8,9,10,12,13,14,15,17,18,20],given:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18],global:[6,7,13],glorot:1,gmail:[],go:[0,1,3,5,6,8,9,11,12,13],goal:[0,7,9],goe:[0,1,2,5,6,13,14,16],golden:13,gone:5,gong:1,good:[1,3,4,5,6,9,10,11,13,15,17,18,20],goodfellow:[4,17,20],googl:[1,3,4,14,15],got:[1,6],gov:6,gp:20,gpu:[1,15],grad:[2,13],grad_analyt:13,grade:17,gradient:[0,3,4,7,8,9,12,15,17],gradient_desc:3,gradientboostingclassifi:10,gradientboostingregressor:10,gradients_of_discrimin:4,gradients_of_gener:4,gradienttap:4,gradual:[1,14],grai:[4,6],graph:[1,9,11,12,13],graph_from_dot_data:9,graph_funct:[3,4],graphic:[0,1,9],grasp:0,gray_r:[1,3],grayscal:3,great:[5,13],greater:[1,7,18],greatli:13,greedi:9,green:[0,3,9,18],grei:4,grid:[1,3,6,7,8,12,18],grossli:13,ground:0,group:[0,6,7,9,14,15,17],groupbi:0,grow:[1,3,9,10],growth:0,gru:4,guarante:[0,3,4,13,18],guess:[1,4,10,13,14],guestrin:10,guid:1,guilherm:19,h1:2,h21:17,h:[0,1,5,6,8,13,18,20],h_1:[2,13],h_2:[2,13],h_:[0,13],h_m:10,ha:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],habit:0,had:[0,1,6,7,13],hadamard:[1,12],half:[1,8,9],halv:10,hand:[0,1,2,3,5,11,12,13,15,16,17,18,20],handi:3,handl:[0,1,2,5,9,11,15],handle_unknown:9,handsid:12,handwrit:12,handwritten:[1,5],happen:[1,2,3,4,5,6,10,13,18],hard:[1,7,8,10,13],hardcopi:15,harder:[0,1],harmon:3,hasn:1,hassl:[0,15],hast:15,hasti:[0,6,17,20],hat:[0,1,5,6,7,9,10,11,12,13,16],have:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],haven:1,he:7,head:[0,4,10,18],header:0,heads_proba:10,health:0,hear:[0,13],heart:[0,7],heatmap:[0,1,3,7],heavili:0,heavisid:1,height:[1,3,6],held:13,help:[0,1,4,12,13],helper:[4,14],henc:[0,5,6,8,9,10,12,13],her:7,here:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],hereaft:[0,8,12],hermitian:16,hessenberg:16,hessian:[0,2,5,13],heterogen:[9,10],hi:7,hidden:[1,3,4,12],hidden_bia:1,hidden_bias_gradi:1,hidden_layer_s:[0,1],hidden_neuron:4,hidden_weight:1,hidden_weights_gradi:1,hierarch:5,high:[0,1,2,3,4,5,6,9,10,11,13,14,15,16],higher:[0,1,3,5,6,8,13],highest:[1,2],highli:[0,3,4,10,15,16,20],highwai:0,hing:8,hint:13,hip:15,hire:0,hist:[4,6,7,18],histogram:[0,6,7,18],histor:[7,11],histori:[3,4,12],histplot:[],hit:[],hitherto:5,hjorth:19,hobbi:18,hoc:5,hoff:20,hold:[1,3,6,13,14],holder:0,home:0,homework:[6,13],homogen:[1,3,9,10,13],honchar:2,hopefulli:[0,11,18],horizont:11,hors:[3,7],hot:[1,9],hour:[1,15,17,18,19],house_pric:[],how:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],howev:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],hs:[],hspace:[0,4,8,10,18],hstack:1,htf:17,html:[0,7,11,15,17,20],http:[0,3,4,6,7,11,13,14,15,16,17,20],huang:0,huber:0,huge:[1,3,4,15],human:[0,1,3,6,9,12],humid:9,hundr:1,hungri:1,hybrid:17,hydrogen:0,hyperbol:[1,4,12],hyperparam:8,hyperparamet:[3,4,5,6,9,13],hyperplan:11,i0:0,i1:[0,6,8,12],i2:[0,8,12],i3:[0,12],i5:0,i:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,19],i_1:[5,6],i_2:[5,6],i_:13,ian:20,ic:1,id:[7,13],ida:19,idea:[0,1,2,3,4,6,9,10,12,13,16],ideal:[0,2,6,8,13,18],idem:6,ident:[5,6,12,13,16],identical:5,identifi:[0,1,7,9,11,12,13,14],idum:[],ieor:18,ifi:20,ifs:15,ignor:[0,1,3,9],ii:[16,18],iii:16,ij:[0,1,3,6,8,12,14,16,18],ik:[0,16],illustr:[5,7,10,12,13,14,15],im:6,imag:[1,3,4,6,9,11,12,14,20],image_at_epoch_:4,image_batch:4,image_height:3,image_path:[0,6,7,9],image_width:3,imageio:6,images_from_seed_imag:4,imagin:1,immedi:[0,3,4,6,15],implement:[0,2,3,4,5,6,8,9,10,11,12,13,14,17,18],impli:[3,5,6,7,13,16],implicit:3,implicitli:[11,18],importantli:3,impos:[0,6,11,12],imposs:[0,5],impress:[0,12],improv:[0,4,5,9,10,11,13],impur:9,imread:6,imshow:[1,3,4,6],in3050:20,in4080:20,in4300:20,in5400:[3,20],in_out_neuron:4,inaccur:13,inacio:19,inact:12,inadequ:0,inch:6,includ:[0,1,2,3,4,5,6,7,11,12,15,18,19,20],include_bia:[6,9],incom:12,incorrect:1,incoveni:8,increas:[0,1,3,4,5,6,7,8,9,11,12,13,18],increasingli:18,ind:6,inde:[0,2,4,5,6],indefinit:4,indent:[],indentationerror:[],independ:[0,5,6,7,8,12,13,18],index:[0,1,3,4,10,14,15,16,18,20],index_col:0,index_of:[],indic:[0,1,3,4,5,6,9,10,11,13],indispens:6,individu:[1,6,7,10,12,18],indu:0,indx1:2,indx2:2,indx3:2,indx:16,ineffici:[3,13],inequ:8,inequaltii:13,inertia:13,inf1000:15,inf1100:15,inf1100l:15,inf1110:15,inf3000:20,inf4490:20,inf5860:20,infeas:9,infer:[0,1,4,6,20],infer_nrow:0,inferenc:1,infil:[0,6,7,9],infin:[5,6,7,11],infinit:3,infinitesim:18,influenc:[6,10],influenti:1,inform:[0,1,3,4,6,9,11,12,13,14,16,20],infti:[3,6,13,18],ingeni:13,ingrad:2,ingredi:[0,9],inher:6,inherit:16,initi:[0,1,2,6,10,13,14,16,18],initial_epoch:[3,4],initialis:[],initialize_root:[],inject:14,inlin:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],inner:[0,13],innov:20,inp:4,inplac:13,input:[0,1,3,4,5,6,7,8,9,10,12,13,14,18],input_dim:1,input_shap:[3,4],inputs:1,inputs_shuffl:[0,1],insert:[3,5,6,8,10,18],insid:[0,4,7],insight:[0,1,5,15,20],insist:[6,13],inspir:[0,1,12,20],instabl:2,instal:[0,1,5,6,9],instanc:[0,1,2,4,6,9,11,13],instanti:10,instead:[0,1,2,3,4,5,6,8,9,11,13,14,16,18],institut:1,instruct:[0,1],int32:10,int64:[],int_0:18,int_:[3,6,18],int_a:18,intak:0,integ:[1,2,13,14,16,18],integer_vector:1,integr:[3,6,18],intellig:[0,14,20],intend:10,intens:1,intention:14,interact:[0,6,9,12,15],intercept:[0,6,8,11,13],intercept_:[0,6,8,9,13],interchang:[5,12,16],interconnect:1,interest:[0,1,2,3,4,5,6,7,8,9,12,15,17,18],interfac:[0,1,16],interior:[0,9],intermedi:16,intern:[1,10,12],interpol:[1,3,4,6,12],interpr:5,interpret:[0,1,6,9,10,12,13,16,18],interv:[0,3,5,6,7,13,18],intial:13,intract:[0,4],intrins:[3,11,16,18],intro:[15,20],introduc:[0,1,5,6,8,10,12,13,16,18],introduct:[1,2,4,13,17,20],introductori:[0,4,16,20],intuit:[0,5,6,8,12,13],inv:[0,5,13],invalid:1,invalu:[0,13,15],invari:1,invd:5,inver:8,invers:[0,3,6,13],invers_period:[],inverse_transform:8,invert:[0,5,7,10],invok:[0,8],involv:[0,2,6,7,11,12],io:[0,15,17,20],iomanip:[],iostream:[],ip:[0,8,18],ipca:11,ipykernel_42331:[],ipykernel_42376:[],ipykernel_42449:[],ipykernel_42456:[],ipykernel_42530:[],ipykernel_42541:[],ipykernel_42553:[],ipykernel_42573:[],ipykernel_42580:[],ipykernel_42586:[],ipykernel_47411:[],ipykernel_47448:[],ipykernel_47647:[],ipykernel_47724:[],ipykernel_47735:[],ipynb:15,ipython:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,15],iq:6,iri:[8,9],irreduc:6,irrelev:5,irrespect:0,is_integ:[],isbox:[2,13],iscomplexobj:[],isinst:[2,13],isn:5,isnul:0,isomap:11,issu:[1,3,4,9,14,16],it_arrai:13,item:[0,13],items:16,iter:[1,2,3,4,6,7,8,11,13,14,18],itr:[],its:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],itself:[5,6,12,18],ix:[],j1:16,j:[0,1,2,3,4,5,6,8,9,11,12,13,14,16,18,20],j_:6,j_lasso_sk:6,j_ridge_sk:6,j_sk:6,jackknavg:[],jackknif:[6,15],jackknstd:[],jackknvar:[],jackknvec:[],jacobian:[2,13],jacobian_shap:2,jargon:[],jason:4,jax:[3,4,14,15],jensen:19,jerom:20,ji:[12,16],jj:[0,5,6],jk:[0,1,6,12,16],jl:0,jm:16,joao:19,joaogca:19,job:[2,8,10],join:[0,4,6,7,9],joint:[4,5],journal:[],judg:13,judgement:6,julia:[15,16],jump:18,junk:4,jupyt:[0,15,17,20],just:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,18],justif:0,justifi:[3,10],jy:[],jydg2xzka5:17,k0:7,k1:7,k:[0,1,3,5,6,7,8,9,10,11,12,13,14,15,16,18],kaggl:6,kappa_d:18,karim:[],karlsen:[],karush:8,keep:[0,1,4,5,6,11,13,14,16],keepdim:[1,6,10,16],kei:[0,1,3,6,12,20],kept:[4,6,14],kera:[0,4,15],kernel:[0,1,3,15],kernel_regular:[1,3],kernel_s:4,kernelpca:11,kev:0,kevin:20,keyboardinterrupt:[2,3,4],keyerror:[],keyword:[6,13,16],kfold:6,kg:1,ki:16,kick:[1,13],kiener:2,kilomet:6,kind:[0,2,3,4,8,12,13,14],kj:[6,12,16],kjm:15,kkt:8,kktsolver:[],kl0m3:17,kl:18,km:12,kmean:14,kmeanspoint:14,kn_k:14,know:[0,1,2,5,6,8,13,15],knowledg:[0,15],known:[1,3,4,5,6,7,8,9,12,16,18,20],kondev:0,kp:18,kpca:11,kroneck:14,kuhn:8,kwarg:[0,2,3,4,13],kwd:[0,3,4],kwown:0,l0:7,l1:[0,1,3,7],l1_l2:[1,3],l1regl:5,l1regls_mosek2:[],l1regls_mosek:[],l2:[1,3],l:[0,1,2,3,5,6,7,8,10,11,12,13,16,18],l_1:7,l_2:[7,13],l_:16,l_j:12,la:13,la_i:12,la_k:12,lab:[15,17],label:[0,1,2,3,4,5,6,7,8,9,10,12,13,14,15,16,18],label_prob:13,labelencod:[7,10],labels:[6,8,9],labels_shuffl:[0,1],laboratori:17,lack:0,lagari:2,lagrang:[8,11],lambda:[0,1,2,3,5,6,7,8,10,12,13,18],lambda_0:11,lambda_1:[5,8,11],lambda_2:[8,11],lambda_:11,lambda_i:[8,11],lambda_iy_i:8,lambda_jy_iy_j:8,lambda_k:8,lambda_n:[5,8],lamda:1,lamdbda:[],land:[0,8],landmark:8,landscap:13,langl:[0,6,11,18],languag:[0,1,4,8,15,16,20],lapack:16,laplac:5,laptop:15,larg:[0,1,2,4,5,6,8,9,10,11,13,15,16,18,20],larger:[0,3,5,6,8,10,11,13,18],largest:[4,8,11],lasso:[0,7,15,17],lasso_sk:6,last:[0,1,2,3,4,5,6,7,8,9,10,12,13,16,17,18],latent:4,latent_dim:4,latent_point:4,latent_space_value_rang:4,later:[0,1,4,6,7,8,12,13,14,15],latest:[4,15],latest_checkpoint:4,latter:[0,3,6,7,8,11,13,16,17,18],lattic:12,law:0,layer:[0,4,13],lbfg:[7,9,10,11],lcc:[5,6],lda:11,ldot:[0,6,11],le:[5,7,10,13,18],lead:[0,1,3,5,6,7,8,9,10,11,12,13,16,18],leaf:9,leaki:1,leakyrelu:4,lear:13,learn:[3,4,5,6,7,8,9,10,12,16,17,20],learnabl:3,learner:10,learning_r:[3,8,10],learning_rate_init:[0,1],learning_schedul:13,least:[0,2,7,8,10,11,15,16,17,18],leat:13,leav:[0,1,3,5,6,9,11],lectur:[0,1,5,10,11,12,13,15,16,17,20],lecturenot:[0,15,17,20],lecturenovember11:[],lecturenovember12:[],lecturenovember19:[],lecturenovember25:[],lecturenovember26:[],lecturenovember4:[],lecturenovember5:[],lectureoctober14:17,lectureoctober15:17,lectureoctober1:[],lectureoctober21:[],lectureoctober22:[],lectureoctober28:[],lectureoctober29:[],lectureoctober7:[],lectureoctober8:[],lectureseptember10:[],lectureseptember16firstpart:[],lectureseptember16secondpart:[],lectureseptember17:[],lectureseptember23:[],lectureseptember24:[],lectureseptember2:[],lectureseptember30:[],lectureseptember3:[],lectureseptember9:[],lecturethursdayaugust26:[],lecturethursdayaugust27:[],left:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,16,18],leftarrow:[8,12],legend:[0,2,3,4,5,6,7,8,9,10,13],len:[0,1,2,3,4,5,6,8,9,10,11,12,16],len_index:0,length:[0,1,2,3,4,8,9,13,15],length_of_sequ:4,leq:[0,5,7,8,13,14,18],less:[0,1,3,4,5,6,8,9,13,15,18],lessen:1,let:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],letter:[0,16,18],level:[0,1,5,6,9,15,16,17],li:[8,11],lib:[0,1,2,3,4,6,7,8,11,13,14],liblinear:[8,10],librari:[0,1,2,3,4,5,6,9,10,11,16,18,20],licens:[0,1,15],lie:[0,6,11,18],life:[0,1,8,12],lifetim:13,like:[0,1,2,3,4,5,6,7,9,10,11,12,13,15,16,18],likelihood:[0,1,5,9,13],lim_:18,limit:[0,5,6,7,8,11,12,16],lin_clf:8,lin_model:0,lin_reg:9,linalg:[0,2,5,6,8,11,13,16,18],line1:8,line2:8,line2d:13,line3:8,line:[0,1,3,6,8,11,13],linear:[1,3,5,6,7,9,10,11,12,15,17,18],linear_model:[0,5,6,7,8,9,10,11,13],linear_regress:6,linearli:5,linearloc:[6,13],linearregress:[0,6,7,9],linearsvc:8,liner:[1,3],linerar:10,linewidth:[0,2,4,6,8,9,10],link:[0,4,9,12,15],linlag:5,linpack:16,linreg:0,linspac:[0,2,3,4,6,8,9,10,13,16,18],linu:4,linuek:[],linux:[0,1,15],liquid:0,list:[0,1,2,3,4,9,15],listcomp:2,listedcolormap:[9,10],literatur:[1,7,14,20],littl:[1,3,9,12],live:8,ll:[0,18],lle:0,lloyd:[4,14],lmb:[0,2,5,6],lmbd:[0,1,3],lmbd_val:[0,1,3],lmbda:13,ln:[1,13],lo:[],load:[0,1,4,6,7,9,10],load_boston:0,load_breast_canc:[1,7,9,10,11],load_data:[3,4],load_digit:[1,3],load_iri:[8,9],loc:[0,3,6,7,8,9,10],local:[0,1,3,7,12,13],locat:[2,3,8],lock:[3,4],log10:[0,5,6],log:[0,1,2,4,5,6,7,9,10,11,13,16],log_:0,log_clf:10,logarithm:[0,5,7,16],logic:[0,1,9],logist:[0,1,2,8,9,10,11,12,15,17],logistic_predict:13,logisticregress:[7,9,10,11],logit:7,logreg:[7,9,10,11],logspac:[0,1,3,5,6],longer:[2,3,8,10,14,16,18],loocv:6,look:[0,1,2,3,4,5,6,7,8,9,10,11,13,16,18],loop:[1,4,6,10,12,14,15,16],lose:1,loss:[0,1,3,4,5,6,7,8,10,11,13,16],loss_fil:4,lossfil:4,lost:4,lot:[0,1,4,6],low:[0,6,9,10,11],lower:[0,1,3,6,9,10,16],lowercas:16,lowest:[9,13,18],lr:[1,3,4,10],lstat:0,lstm:4,lstm_2layer:4,lstsq:0,lt:6,lu:[0,5],lubksb:16,luckili:2,ludcmp:16,lux:16,lvert:1,lw:0,m:[0,1,2,3,5,6,8,9,10,11,12,13,16,17,18,19,20],m_1:14,m_:[9,12],m_h:0,m_k:14,m_l:12,m_n:0,m_p:0,m_t:13,ma:11,mac:[3,4,14],machin:[1,3,4,5,6,7,9,10,11,12,14,16,17,20],machinelearn:[0,6,15,17,20],machinelearningmurphi:17,mackai:20,made:[0,1,3,4,5,6,7,9,11,12],mae:0,magic:4,magnitud:[1,6,7,13],mai:[0,1,2,3,5,6,7,8,9,11,12,13,15,16,18],mail:17,main:[0,1,3,4,5,6,7,9,16,20],mainli:[0,5,6,7,9],maintain:6,major:[1,6,9,10,13,16],make:[1,2,3,4,5,6,7,8,11,12,13,15,16,18,20],make_axes_locat:6,make_moon:[8,9,10],make_pipelin:[0,6,10],make_vjp:[2,13],makedir:[0,6,7,9],makeplot:0,malcondit:16,malign:[1,7,9],mammographi:5,manag:[0,2,3,15],mani:[0,1,3,4,5,6,7,8,9,11,13,14,15,16,18,20],manifold:11,manner:3,manual:6,map:[0,1,2,6,7,8,11,12,14,18],margin:[0,5,8],mari:19,marit:0,marker:[0,7,16],markov:15,marsaglia:18,mask:[],mass:[0,1,5,13],massag:0,masses2016:0,masses2016ol:0,masses2016tre:0,masseval2016:0,master:[6,17],mat1100:15,mat1110:15,mat1120:15,mat3155:[],mat4155:[],mat:15,match:[0,1,4,5,13,14],materi:[4,5,7,13,16],math:[3,7,12,13,16,18,20],mathbb:[0,4,5,6,7,8,11,12,13,14,16,18],mathbf:[0,5,6,7,8,13,16],mathcal:[1,5,6,7,13],matheemat:3,mathemat:[0,6,11,12,13,15,16,17,18,20],mathrm:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,18],matmul:[1,2,5],matmul_adjoint_1:2,matmul_vjp_0:2,matmul_vjp_1:2,matnat:[17,19,20],matplotlib:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],matplotlibdeprecationwarn:[6,13],matric:[0,1,3,4,6,7,8,11,13,15],matrix:[0,2,3,4,6,7,8,10,13,18],matshow:1,matter:[2,3,13],max:[0,1,2,3,4,9,10,12,13],max_depth:[0,9,10],max_diff1:2,max_diff2:2,max_diff:2,max_it:[0,1,7,8,11,13],max_iter:14,max_leaf_nod:10,max_queue_s:[3,4],max_sampl:10,maxdegre:[0,6,10],maxdepth:10,maxim:[1,4,5,7,8,11],maximum:[0,1,2,3,5,7,8,9,10,13,14],maxpolydegre:[5,6],maxpooling2d:3,mbox:[5,6],mc:[],mcculloch:12,mcint:[],mcintsqr2:[],md:11,mdoel:4,mean:[1,2,3,4,5,6,7,9,10,11,12,13,14,15,16,18],mean_absolute_error:0,mean_divisor:14,mean_i:18,mean_matrix:14,mean_squared_error:[0,4,6,7,10],mean_squared_log_error:0,mean_vector:14,mean_x:18,meaning:[0,4,7],meansquarederror:0,meant:[2,3,7,10,13],meantempvec:[],meanvec:[],measur:[0,1,2,5,6,9,11,12,14,18],mechan:[0,4,18],median:0,medicin:12,medium:[4,8,13],medv:0,meet:[0,19],mehta:0,memori:[3,4,11,12,13,16],mention:[0,12,13,18],mere:0,mersienn:[],meshgrid:[2,5,6,8,9,10,11],messag:[5,13],messi:2,met:[0,3,8],metadata:2,meteorolog:9,meter:6,method:[0,1,2,3,4,5,7,8,11,12,14,15,16,17,18,20],metion:6,metric:[0,1,3,6,7,9,10,14],metropoli:15,mev:[0,18],mgd:13,mglearn:15,mgrid:13,mhjensen:[1,2,3,4,6,7,8,11,14],mi:10,microsoft:20,mid:1,midel:4,midpoint:9,might:[0,1,2,4,6,9,13],mild:9,miller:[],millimet:6,million:0,mimic:12,min:[0,2,5,8,9],min_:[0,2,5,14],min_samples_leaf:9,mind:[0,6,13],mindboard:4,mine:15,mini:[1,11,12,13],minibatch:[1,11,13],minibathc:13,miniforge3:[0,1,2,3,4,6,7,8,11,13,14],minim:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14],minima:[0,1,7,13],minimum:[0,1,2,6,8,9,11,13],minmaxscal:0,minor:[6,13,18],minst:1,minu:7,mirror:9,misc:6,misclassif:[8,9,10],misclassifi:[8,10],miser:0,mismatch:1,miss:[0,10],mistak:4,mit:20,mix:[1,2],mixtur:13,mk:[9,16],mkdir:[0,6,7,9],ml:[0,1,10,13,16],mlab:18,mle:[5,7],mline:[],mlir:[],mlir_graph_optimization_pass:[],mlp:1,mlpclassifi:1,mlpregressor:0,mm:16,mn:[12,18,20],mnist:[1,11],mod:18,mode:17,model:[2,3,5,7,8,9,10,11,13,14,15,18,20],model_select:[0,1,3,5,6,7,9,10,11],moder:10,modern:[0,6,7,15],modif:[2,12,13],modifi:[0,1,3,5,7,8,10,12,13],modul:[0,2,3,4,6,7,8,9,10,11,13,16],modular:18,modulenotfounderror:[7,8,9],modulo:18,moe:[5,11],moment:[5,6,13,18],monitor:13,monoton:[5,12,18],mont:[0,6,15,18,20],montecarlocycl:[],moor:[5,6],more:[0,1,2,4,5,7,8,9,10,11,12,13,14,15,17,18],moreov:[0,3],morten:19,mortenimac:[],mosek:[],most:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,17,18],mostli:[1,11],motion:[0,13],motiv:[1,4],move:[0,4,5,6,7,9,12,13,14,18],mp4:17,mpl:[0,7],mpl_toolkit:[2,6,13],mplot3d:[2,6,13],mplregressor:1,mse:[0,4,5,6,9,10],mse_simpletre:10,mselassopredict:5,mselassotrain:5,mseownridgepredict:6,msepredict:5,mseridgepredict:[0,5,6],msetrain:5,msg:[],msle:0,mt19937_64:[],mt:[7,12],mu0:18,mu1:18,mu2:18,mu:[0,6,11,13,18],mu_:[6,18],mu_i:6,mu_n:11,mu_x:18,much:[0,1,2,3,4,5,6,8,9,10,11,12,13,16,18],mul:[],multi:[0,1,3,7,15],multiclass:[1,7],multidimension:[11,12],multilay:1,multinomi:7,multipl:[2,4,5,6,7,12,13,18],multipli:[3,5,6,11,13,16,18],multiplum:8,multivari:[0,2,10,11,15,18],multivariate_norm:[11,14],murphi:[11,17,20],must:[0,1,2,5,6,8,10,12,13,14,18],mutat:7,mutual:[1,3,6,13],mx_:18,myenv:[0,1,2,3,4,6,7,8,11,13,14],myriad:[0,15],mz1:18,mz2:18,n1:16,n2:16,n:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,16,18],n_0:[12,18],n_:[1,2,3,8,12,18],n_b:[],n_boostrap:[6,10],n_bootstrap:6,n_categori:[1,3],n_cluster:14,n_compon:11,n_epoch:13,n_estim:10,n_examples_to_gener:4,n_featur:1,n_filter:3,n_hidden:2,n_hidden_neuron:[0,1],n_i:18,n_input:[0,1,3],n_instanc:9,n_iter_i:[7,11],n_job:10,n_k:14,n_l:[12,18],n_layer:1,n_m:9,n_neuron:1,n_neurons_connect:3,n_neurons_layer1:1,n_neurons_layer2:1,n_point:14,n_sampl:[6,8,9,10,14],n_split:6,n_step:4,n_t:2,n_x:2,nabla:[1,13],nabla_:[2,13],nabla_w:13,nag:13,naimi:0,naiv:7,naive_kmean:14,nall:0,name:[0,1,3,4,5,6,7,8,9,10,12,13,14,15,16,18,19],nameerror:[6,10],namespac:[],narrow:13,nary_f:[2,13],nary_op_arg:[2,13],nary_op_kwarg:[2,13],nary_oper:[2,13],nation:[1,5],nativ:15,natur:[0,1,4,8,9,12,13,18,20],navier:12,nb:18,nb_:16,nboot:[],nd:14,ndarrai:[2,6],ndim:2,ne:[9,10,16,18],ne_xcl2ctm0:17,nearest:[1,3,6,11],nearli:13,neccesari:6,necess:2,necessari:[0,1,3,4,8,14],necessarili:[0,4,11,18],necesserali:5,neck:7,need:[0,1,2,3,4,5,6,8,9,10,11,12,13,14,16,18],neg:[0,1,3,5,6,7,10,13,16,18],neg_mean_squared_error:6,neglect:18,neglig:18,neighbor:[3,6,11],neither:[4,13],neq:[13,14,18],nervou:12,nest:[2,9,12],nesterov:13,net:[2,4,12],netlib:16,network:[0,9,13,15,17,20],neural:[0,7,13,15,17,20],neural_network:[0,1,2],neuralnetwork:1,neuron:[1,2,3,4,12],neutral:0,neutron:0,never:[1,3,4,6,9,18],new_box:[2,13],new_root:[2,13],new_trac:[2,13],new_tracing_count:[3,4],newaxi:[0,3,6,9],newli:0,newton:[1,7,8,13,18],next:[0,1,2,3,4,5,6,8,9,13,14],next_guess:13,next_input:4,ng:1,ngini:[],ni:14,nian:[],nice:[0,1,5,11],nichola:[],nicholaskarlsen1102:[],niter:13,nitric:0,nlambda:[0,5,6],nlevel:[],nm:18,nm_n:0,nmse:6,nn:[2,5,6,12,16],nn_model:1,nnmin:2,node:[1,2,3,9,10,12],node_constructor:2,nois:[0,4,5,6,8,9,10,13],noise_dimens:4,noisi:[1,6],non:[0,1,3,4,5,6,7,9,10,11,12,13,14,16,18],none:[0,1,2,3,4,5,9,10,13,18],nonlinear:[3,6,8,9,11,12],nonneg:[6,9,13],nonparametr:6,nonsens:18,nonsingular:16,nonumb:[3,7,8,13,16],nor:[1,4,13],norm:[0,1,5,6,8,11,13],normal:[3,4,5,6,7,8,9,10,11,12,13,15,16,18],normali:16,normalize_kwarg:[],norwai:6,notat:[0,2,5,6,13,14,18],note:[0,1,2,3,4,5,6,7,8,11,12,13,14,15,16,17,18,20],notebook:[0,1,3,9,15],noth:[1,2,5,8,12,14,18],notic:[4,5,12,13,16,18],notimplementederror:[],notion:3,notrace_primit:[],novel:[3,6,10],novemb:1,now:[0,2,4,5,6,7,8,10,11,12,13,14,15,16,18],nowadai:[0,1,3,9,15],nox:0,np:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16,18],npr:2,nsampl:6,nspin:[],nt:2,nthi:0,ntrained_model:6,nu:18,nuclear:5,nuclei:[0,18],nucleon:0,nucleu:0,num:4,num_coordin:2,num_hidden_neuron:2,num_it:2,num_neuron:2,num_neurons_hidden:2,num_output:[3,4],num_point:2,num_tre:10,num_valu:2,number:[1,3,4,5,6,7,8,9,10,11,12,13,14,16,17,19],numberid:7,numberparamet:3,numer:[0,5,6,9,10,11,12,13,15,16,20],numpi:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,18],numpy_vjp:2,numpy_wrapp:2,nunmpi:5,nvalu:[],nx:2,nx_test:6,nx_train:6,nx_train_mean:6,ny:18,ny_pr:6,ny_train:6,ny_train_mean:6,o:[0,6,7,8,9,11,16,20],obei:[6,11,13],object:[0,1,2,4,6,8,10,13,16],objsens:[],obliqu:5,observ:[0,1,3,5,6,7,8,9,10,11,12,13,14,18],obtain:[0,1,5,6,7,8,9,10,12,13,14,16,18],obviou:[5,6,11,18],obviouli:0,obvious:[0,4,5,6,16],oc:5,occupi:0,occur:[0,6,8,9,16,18],od:0,odd:[0,3,7],odenum:2,odesi:2,oen:0,off:[1,3,4,5,9,13,18],offer:[6,11,15,16,17],offic:19,offici:17,ofil:[],ofstream:[],often:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],ofter:16,ol:0,old:[1,5,10,13],ols_sk:6,ols_svd:6,olsbeta:[0,5],omega:[2,3,6],omega_0:3,omit:[0,5],on_train_batch_begin:[3,4],onc:[1,6,9,11,13],one:[0,1,3,4,5,6,7,8,9,10,11,13,14,15,16,18],oneapi:[],onednn:[],onehot:1,onehot_vector:1,onehotencod:9,ones:[0,2,5,6,8,9,10,11,13,16,17],ones_lik:4,onl:3,onli:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],onlin:[11,17],onto:[5,11],op_nam:[3,4],open:[0,1,4,6,7,9,15,17],oper:[0,1,3,5,6,10,11,12,13,15,18],operation:18,oplu:18,opmiz:13,opportun:0,oppos:[6,13],opposit:[1,5,8],opt:[1,5],optim:[0,2,3,4,5,6,7,9,10,11,14,17],optimis:[1,3],optimizer_v2:3,option:[0,1,3,5,6,7,8,11,16],optionalxlacontext:[3,4],optmiz:[1,8,13,17],orang:0,order:[0,1,2,3,5,6,7,8,9,10,11,12,13,16,18],ordinari:[0,2,3,7,11,13,15,17],oreilli:20,org:[0,3,4,7,11,15,16,20],organ:[6,7,10,16],orient:[1,5,18],origin:[0,3,5,6,8,11,12,13,16],orthogn:5,orthogon:[0,5,6,8,11,13,16],orthonorm:5,os:[0,1,4,5,6,7,8,9],oscar:1,oscil:[3,13],oslo:[0,15,17,19],osx:[0,15],other:[0,1,2,3,5,6,7,8,10,13,14,15,17,18,20],otherwis:[0,1,4,7,13,16],ouput:[5,7,12],our:[1,2,3,6,7,8,9,10,12,14,15,16,17,18],ourmodel:0,ourselv:[0,5,6,8,11,13],out:[0,1,2,4,5,6,7,8,9,10,11,12,13,15,16,18],out_fil:9,outcom:[0,7,9,10,12,18],outdoor:9,outer:[6,12],outfil:4,outfilenam:[],outgrad:2,outlier:[0,8],outlin:[6,10,11],outlook:9,outperform:10,output:[0,1,3,4,5,6,7,8,9,10,12,13,16,18],output_bia:1,output_bias_gradi:1,output_shap:4,output_weight:1,output_weights_gradi:1,outputlayer1:12,outputlayer2:12,outsid:4,over1:13,over:[0,1,3,4,5,6,9,10,12,13,16],overal:[1,10],overcast:9,overcom:[12,13],overdetermin:0,overfit:[0,1,3,6,9,10,13],overflow:[1,5],overhead:12,overlap:[3,7,8,9],overlin:[0,5,6,9,10,11,14,16],overst:0,overtrain:4,overview:[3,20],own:[4,5,6,8,12,13,15,16],owner:0,ownmsepredict:0,ownmsetrain:0,ownridgebeta:[0,6],ownypredictridg:0,ownytilderidg:0,oxid:0,oyvinssc:19,p0:2,p1:2,p:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16,18],p_:[2,4,8,9],p_hidden:2,p_i:[5,18],p_j:18,p_n:18,p_output:2,p_x:18,pack:0,packag:[0,1,2,3,4,5,6,7,8,11,13,14,15,18],pad:[3,4],page:[0,15],pai:[0,1,9,13],pair:[0,2,3,9,15,18],panda:[0,4,5,6,7,9,11,15],paper:1,paradigm:0,parallel:[10,15,16],param:[2,4],paramat:2,paramet:[0,1,2,3,4,5,6,7,8,9,10,12,13,18],parameter:[0,6,10],parametr:[0,6],paramt:[3,5],parent:2,parent_argnum:[],park:[],parser:0,part:[0,1,3,5,6,10,16,17,18,20],partial:[0,1,5,6,7,8,10,11,12,13,18],particip:[15,17],particl:[0,4,13,18],particular:[0,1,2,3,5,6,9,10,11,12,13,18,20],particularli:[5,6,8,11,13,18],partit:[1,4,9],partli:6,pass:[2,3,12,14],past:[10,18],patch:[6,18],path:[0,4,6,7,9,15],patient:7,patter:4,pattern:[0,3,4,12,17,20],pauli:0,pc:[11,15],pca:[0,7,15,17],pcolor:6,pcolormesh:6,pd:[0,4,5,6,7,9,11],pde:2,pdf:[0,3,4,5,6,9,17,20],pedagog:0,penal:6,penalti:[6,13],penros:[5,6],pentagon:13,peopl:[0,1,9,13,15],per:[0,1,6,17],percentag:[0,10,11],perceptron:[0,1,7],perfect:[0,1],perfectli:[4,6],perform:[0,2,3,4,5,6,8,10,11,12,13,14,15,16,18],performac:4,perhap:[0,5,13],perimet:1,period:[1,4,18],permut:11,persist:13,person:[5,6,7,17,19],perspect:20,pertin:12,petal:[8,9],peter:20,petersen:[],phantom:18,phase:[6,12],phenomena:18,phi:8,phi_k:8,philip:[],philosophi:13,phone:19,photo:4,phrase:0,physic:[0,1,4,7,12,13,18,19,20],pi:[2,3,5,6,7,9,12,13,18],pick:[1,9,10,11,13,14],pickl:1,pictur:0,pie:15,piec:[11,14],pillow:[0,15],pinv:[5,6,13],pip3:[0,1],pip:[0,1,15],pipelin:[0,6,8,10],pit:4,pitfal:6,pitt:12,pixel:[1,3,4],pixel_height:[1,3],pixel_width:[1,3],place:[0,4,6,8,13,16],plai:[0,3,4,5,6,8,11,15],plain:[8,10,12,13,14],plan:[6,9,19,20],plane:[8,9],plateau:5,platform:15,plausibl:12,pleas:[3,4,6,7,11,13,14],plenti:1,plethora:[3,12],plot:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],plot_confusion_matrix:[7,10],plot_count:6,plot_cumulative_gain:[7,10],plot_data:1,plot_dataset:8,plot_decision_boundari:[9,10],plot_import:10,plot_max:4,plot_min:4,plot_model:4,plot_numb:4,plot_predict:8,plot_regression_predict:9,plot_result:4,plot_roc:[7,10],plot_surfac:[2,6,13],plot_train:9,plot_tre:[9,10],plt:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],plu:[0,3,5,7],pm:8,pmatrix:2,pn:3,png:[0,4,6,7,9],point:[0,1,2,3,5,6,7,8,9,10,11,13,14,16,18,19],point_1:4,point_2:4,poisson:[15,18],poli:[6,8],poly100_kernel_svm_clf:8,poly3:0,poly3_plot:0,poly3dcollect:13,poly_featur:[8,9],poly_features10:9,poly_fit10:9,poly_fit:9,poly_kernel_svm_clf:8,polydegre:[0,5,6,10],polygon:13,polym:12,polynomi:[0,5,6,7,8,9,10,11],polynomial_featur:6,polynomial_svm_clf:8,polynomialfeatur:[0,6,8,9],polytrop:[0,6],pool:3,pool_siz:3,poor:[1,13],poorli:0,pop:2,popul:[0,5],popular:[0,1,3,6,7,8,9,11,12,15,16,18],popularli:0,portabl:10,portion:[11,13],pose:[0,4,5,6,11,18],posit:[0,1,2,3,5,7,8,10,11,13,14,16,18],possibl:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,16,18,19],posterior:5,postpon:0,postul:5,potenti:[0,3,5,6,12,13],potr:[],potrf:[],pott:12,power:[0,1,5,6,8,9,12,13],pp:[5,6],practic:[0,5,6,7,8,17,18],practition:[0,1,3],preced:[1,11,12,18],preceed:4,preceq:8,precis:[0,2,5,11,13,16,18],pred:[6,13],predicit:0,predict:[0,1,5,6,7,8,9,10,15,20],predict_prob:1,predict_proba:[7,10],predictor:[0,5,6,7,9,10,11],prefer:[0,1,6,8,9,11,15],prepar:[0,6,16],preprocess:[0,4,6,7,8,9,10,11],prerequisit:0,presenc:13,present:[0,5,6,9,12,13,16,17,18],preserv:[3,11,16],press:[13,20],pretrain:[1,4],pretti:[0,4,8,9,15],prev_centroid:14,prevent:[13,18],previou:[0,1,2,3,4,5,6,8,10,11,12,13,16,18],previous:[2,3,9,10,18],price:[0,4,9,13],primal:8,primari:[0,7],prime:18,primit:2,princip:[0,5,7,15,17],principl:[0,6,7,8,14],print:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16,18],print_funct:[8,9],printout:0,prior:[0,5,6],privat:0,prob:[1,18],probabilist:[0,20],probabl:[0,1,3,4,6,7,10,13,15,17],problem:[0,3,4,5,6,7,8,9,10,11,12,14,15,16,17,18],proce:[0,5,6,8,9,10,11,13,16],procedur:[2,4,5,6,8,10,11,13],proceed:16,process:[0,2,4,6,9,10,12,13,15,16,18,20],prod:20,prod_:[1,5,7],produc:[0,3,4,5,6,9,10,11,12,13,15,16,18],product:[0,1,3,5,6,7,8,12,13,15,16],profess:0,program:[0,1,4,5,6,8,12,14,15,16,17,18],programm:16,progress:[1,4,14],prohibit:6,project1:6,project:[0,1,2,3,5,11,13,15,17,19],project_root_dir:[0,6,7,9],promin:12,promis:8,prone:9,pronounc:[13,15],proof:[0,11,12,13],propag:[2,3,13,17],proper:[0,2,6],properli:[1,6,8,10,13],properti:[0,1,3,12,13,16],proport:[0,1,5,9,11,13,18],propos:[1,4,6,10],propto:[5,13],protect:[3,4],proton:0,prove:[3,13],provid:[0,1,3,4,5,6,8,9,10,12,13,15,16,18,20],proxi:[1,13],prune:9,pseudo:[16,18],pseudoinv:5,pseudoinvers:[5,6],pseudorandom:[6,18],psycholog:0,pt:13,ptratio:[],punish:[0,1],pure:[3,9,18],purest:9,puriti:9,purpos:[0,3,10,12,14],put:1,putarow:[],putboundslic:[],putclist:[],putobjsens:[],putqobj:[],py:[0,1,2,3,4,5,6,7,8,11,13,14],pydata:15,pydot:9,pylab:[0,7],pylint:[3,4],pypi:15,pyplot:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],pythagora:5,python2:0,python3:[0,1,2,3,4,6,7,8,11,13,14,15],python:[1,2,3,4,5,6,8,11,12,13,14,17,18],pytorch:[0,15],pywrap_tf:[3,4],q:[5,6,8,11,18],qn_bavhmd8u:17,qp:8,qquad:[2,11,13,16],qr:[5,6,16],quad:[1,13,16],quadrat:[0,8,9,13],qualit:[4,9,18],qualiti:[0,9,15],quantifi:1,quantil:10,quantit:[0,6,9],quantiti:[0,2,5,6,7,9,10,11,12,14,16,18],quantum:[4,12],quartil:0,quench:5,queri:9,question:[0,5,6,9,11,12,13],qugan:4,quick:[4,18],quick_execut:[3,4],quickli:[1,3,9,11,13],quit:[1,5,6,9,10,12],quot:4,r2:[0,5,6],r2_score:0,r2score:0,r:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],r_1:9,r_2:9,r_j:9,r_m:9,rad:0,radial:[0,8,12],radioact:18,radiu:[0,1],rag:2,rain:9,rais:[0,2,13],ramp:1,ran0:18,ran1:18,ran2:18,ran3:18,rand:[0,4,5,6,9,10,13,16],rand_max:[],randint:[6,9,13],randn:[0,1,2,5,6,9,11,13],random:[0,1,2,3,4,5,6,8,9,13,14,15,16,17],random_devic:[],random_forest_model:10,random_index:13,random_indic:[1,3],random_st:[0,7,8,9,10,11],randomforestclassifi:10,randomli:[1,6,9,13,14],randomnumbergener:[],rang:[0,1,2,3,4,5,6,7,9,10,11,12,13,14,16,18],rangl:[0,6,11,18],rangle_x:18,rank:5,rankdir:4,raphson:[1,8,13],rapidli:0,rare:[1,13],rate:[0,1,2,3,4,8,9,10,12,13],rather:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,18],ratio:[4,7,9,10,11],rational:0,ravel:[5,6,7,8,9,10,11,13,16],raw:3,raw_df:[],rbahrf:17,rbf:[8,11,12],rbf_kernel_svm_clf:8,rbf_pca:11,rc:[0,18],rcond:0,rcparam:[0,1,3,7,8,9,10,18],rd:[],rdbj50lv3go:17,re:[2,4,13],reach:[1,4,5,6,7,9,10,11,12,13,14],read:[0,2,3,4,5,6,7,8,11,12,16,17,18,20],read_csv:[0,6,7,9],read_fwf:0,reader:[0,6,16,18],readi:[0,1,5,6,8,10,11,12,16],readili:1,readthedoc:15,real:[0,1,2,4,7,10,11,12,13,16],real_loss:4,real_output:4,realist:8,realiti:18,realiz:[1,12],realli:[0,1],rearrang:13,reason:[0,1,3,4,10,13,20],reassign:1,rebuild:[],recal:[5,6,9,10,11,12,16,18],recalcul:[],recast:3,receiv:[1,3,10,12,18],recent:[0,2,3,4,6,7,8,9,10,13],recept:[3,12],receptive_field:3,recip:[0,6,7,16],reciproc:5,recogn:[0,4,5,10],recognit:[0,1,3,12,17,20],recommend:[0,2,3,4,5,6,8,13,15,16,17,20],reconsid:9,reconstruct:11,record:[10,17],recreat:[],rectangl:[9,13],rectangular:5,rectifi:[1,3,12],recur:[0,15],recurr:[0,1,15,17],recurs:[9,15,16],recycl:[],red:[0,3,4,6,8,9],redefin:[0,10],reduc:[1,3,5,6,9,10,11,13],reduct:[0,10,11,15,18],refer:[0,1,2,3,5,6,7,11,12,13,14,16,20],referenc:2,refin:12,refit:6,reflect:[0,1,4,5,18],refresh:[15,17],reg:[10,11],regard:[1,9,13],regardless:12,region:[3,4,6,9,12],regist:[6,18],reglasso:5,regr_1:[0,9],regr_2:[0,9],regr_3:[0,9],regress:[1,8,11,12,15,16,17],regressor:[0,7,10],regridg:[0,5,6],regular:[0,3,4,5,6,7,9,13],regularis:6,reilli:[0,20],reinforc:[0,8,15],reiter:1,rel:[0,4,6,7,9,12,13,18],relat:[0,1,3,4,5,11,13,14,16,18],relationship:[0,4,9],relativeerror:0,releas:[1,3,4,6,13,15],relev:[0,1,5,7,11,15,17,18],reli:[0,6,8],reliabl:[7,18],relu:[3,4],remain:[1,2,4,6,12,16,18],remaind:18,reman:2,remark:1,rememb:[0,8,13,16],remind:[0,5,11,13,16,17,18],remov:[0,4,5,6],render:0,reorder:[5,7],reorgan:0,repeat:[0,1,3,4,5,6,9,10,11,13,14,16,18],repeated:0,repeatedli:[6,10,13],repet:3,repetit:[6,17],rephras:13,replac:[0,1,3,4,5,6,10,12,13,14,15],replica:6,repositori:[0,4],repres:[0,1,2,3,4,5,6,7,8,9,10,12,13,18],represent:[0,1,3,6,18],representd:3,reproduc:[0,5,6,9,12,15,18],repuls:0,request:[0,13],requir:[0,1,3,4,5,6,8,9,11,12,13,16],res1:2,res2:2,res3:2,res_analyt:2,res_analytical1:2,res_analytical2:2,res_analytical3:2,resaml:6,resampl:[0,7,10,15,17],rescal:[0,11,12],rescu:5,reseach:6,research:[0,4,15,20],resembl:[6,18],reserv:[1,5,6,18],reset:[],reshap:[0,1,2,3,4,6,8,9,10,16],residenti:0,residu:[0,5,13],resiz:5,respect:[0,1,2,3,5,6,7,8,10,11,12,13,14,18],respond:12,respons:[0,7,9,12],rest:[0,5],restat:[0,12],restor:4,restored_discrimin:4,restored_gener:4,restrict:[0,3,9,12],result:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],result_typ:[],retail:0,retain:[5,6],return_data:14,return_kwarg:[],return_sequ:4,return_x_i:9,reus:[1,3,6],reveal:[0,12],revers:[1,16],review:[15,16,17],revisit:14,reward:[0,4],rewrit:[0,3,5,6,7,8,10,11,12,13,16,18],rewritten:[2,6,8,10,18],rewrot:13,rf:10,rgb:3,rgoj5yh7evk:15,rh:6,rho:[0,10],rho_1:10,rho_2:10,rho_m:10,rich:0,ride:9,rideclass:9,ridedata:9,ridg:[7,11,13,15,17],ridge_sk:6,ridgebeta:5,right:[0,1,2,3,5,6,7,8,9,10,12,13,14,16,18],right_sid:2,rightarrow:[0,1,5,6,8,11,12,13,18],rigor:0,ring:6,rise:0,risk:[0,13],rival:4,river:0,rm:[0,18],rmse:0,rmsporp:13,rmsprop:[1,3,4,13],rnd_clf:10,rng:18,rnn1:4,rnn2:4,rnn:[4,12,17],rnn_2layer:4,rnn_input:4,rnn_output:4,rnn_train:4,rntrick1:18,rntrick2:18,rntrick3:18,rntrick4:18,ro:[0,13],robert:20,robust:0,robustscal:0,roc:10,role:[0,2,5,6,8,15],roll:6,room:[0,19],root:[0,5,9,13,18],rotat:[1,8,9,10],rotation_matrix:9,roughli:[1,3],round:[0,7,9,13],routin:[13,16],row:[0,1,2,5,6,7,9,11,16],rr:5,rrr:5,rthe:5,rug:13,rule:[0,1,5,6,13],run:[0,1,2,3,4,5,6,8,9,11,13,15],runtim:[1,6,14],runtimewarn:[1,6],rust:[0,15,16],rustad:19,rvert:1,rvert_2:1,s:[0,1,2,3,4,5,6,7,9,11,12,13,15,16,17,18,19],s_1:6,s_:[3,6],s_i:[6,7],s_j:6,s_k:6,saddl:13,safe:[],sai:[0,1,2,3,4,5,6,7,8,9,10,11,12,16,18],said:[6,9,13],sake:[0,5,7,11],sale:0,same:[0,1,2,3,4,5,6,8,9,11,12,13,14,16,18],samm:10,sampl:[0,1,2,3,4,5,6,7,8,9,10,13,14,15,16,18],sample_vari:14,sample_weight:[3,4],sampleexptvari:18,sastri:11,satisfactori:0,satisfi:[1,2,3,6,8,13,16,18],satur:[1,6],save:[0,4,6,7,9],save_fig:[0,6,7,9,10],savefig:[0,4,6,7,9,18],savetxt:4,saw:5,scalabl:10,scalar:[2,5,6,10,13],scale:[0,1,3,5,6,7,8,9,10,11,12,13,15,16,19],scale_mean:4,scale_std:4,scalei:[],scaler:[0,7,8,9,10,11],scalex:[],scan:[5,7],scari:5,scatter:[0,1,6,7,8,9,14],scenario:[6,13],schedul:13,scheme:[1,13],schrage:18,scienc:[0,1,10,12,13,15,17,18,20],scientif:[0,15],scientist:0,scikit:[3,5,6,7,8,9,10,13,15,16,17,20],scikit_learn:0,scikitplot:[7,10],scipi:[0,3,5,6,13,15,16],scl:6,score:[0,1,3,6,7,9,10,11,19],scores_kfold:6,scratch:1,sdg:13,sdt_bfla8ua:17,seaborn:[0,1,3,6,7],seamless:[0,15],search:[0,1,3,5,9,13],sec:6,second:[0,2,3,4,5,6,7,8,9,11,12,13,14,15,16,18],secondeigvector:11,secondli:12,section:[4,11,16,17,18],sector:0,see:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,15,16,17,18],seed:[0,1,2,3,4,5,6,8,9,11,13,14,18],seed_imag:4,seek:[1,2,8],seem:[1,3,4],seemingli:0,seen:[0,1,3,5,10,12,18],segment:13,seismic:6,seldomli:0,select:[1,5,6,8,9,10,11,17,18,20],self:[1,3,4,5,20],sell:4,semest:[7,17],semi:[8,13],semilogx:6,send:[5,12,13,19],senior:17,sens:[0,4,6,8],sensibl:3,sensit:[0,5,6,9,13],sent:2,sentenc:[4,12],sep:[],separ:[0,1,2,4,6,8,9,12,14,15,18],sequenc:[2,3,4,7,9,10,12,13,15,16,18],sequenti:[1,3,4,10,12,18],seri:[0,1,2,3,4,5,6,10,11,12,13,16,17],serif:[0,7,18],serv:[0,1,2,3,5,7,13,20],session:[1,17],set:[1,4,5,6,7,8,10,11,13,14,15,16,18],set_major_formatt:6,set_major_loc:6,set_stream:[],set_tick:[1,8],set_ticklabel:1,set_titl:[0,1,2,3,7,12,14],set_xlabel:[0,1,2,3,7,12],set_xlim:[7,12],set_xticklabel:1,set_ylabel:[0,1,2,3,7],set_ylim:[7,12],set_ytick:7,set_yticklabel:[1,6],set_zlim:6,seth:4,setiosflag:[],setminu:6,setosa:[8,9],setosa_or_versicolor:8,setp:6,setprecis:[],setse:[],setup:[1,4,6,8,15],setw:[],sever:[0,3,5,6,7,8,9,11,12,13,15,16,17,18],sgd:[1,3],sgd_clf:8,sgdclassifi:8,sgdreg:13,sgdregressor:13,sgn:5,sh:[],shallow:13,shape:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16],share:[1,3],she:7,shift:[1,6,12,18],ship:3,shortcom:13,shorten:4,shorter:18,shortli:16,should:[0,2,3,5,6,8,9,11,12,13,16,18],should_sync:[3,4],show:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],show_shap:4,shown:[0,4,5,7,8,11,12,13,16],showpoint:[],shrink:[3,5,6,8,11],shrinkag:[5,6],shrunk:11,shuffl:[0,1,3,4,6,13],side:[0,2,5,8,12,13,16],sigh:15,sigma0:18,sigma1:18,sigma2:18,sigma:[0,1,5,6,7,10,11,12,13,16,18],sigma_0:5,sigma_1:5,sigma_2:5,sigma_:[5,16],sigma_fn:[7,12],sigma_i:[0,5],sigma_j:5,sigma_m:[6,18],sigma_n:[11,18],sigma_t:13,sigma_x:18,sigmoid:[1,2,4,7,8,10,12,13],sigmundson:[6,19],sign:[1,2,7,8,10,18],signal:[1,3,10,12],signatur:[3,4],signifi:4,signific:1,significantli:[1,13,18],sigurd:19,sim:[4,5,6,13,18],similar:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,15,16],similarli:[0,1,3,5,8,10,18],simpl:[1,2,3,5,6,7,8,10,11,12,14,15,16,18],simple_rnn:4,simplepredict:10,simpler:[0,1,5,6,13,15],simplernn:4,simplest:[0,1,3,4,9,10,12,14],simpletre:10,simpli:[0,1,2,4,5,6,8,9,10,11,12,15,16,18],simplic:[2,5,6,7,8,9,10,11,12,14],simplicti:5,simplifi:[0,6,9,15],simplist:[3,6,18],simul:6,simultan:6,sin:[0,1,2,3,4,9,12,13,16],sinc:[0,1,2,3,5,6,7,8,9,10,11,13,16,18,20],sine:[3,12],singl:[0,1,2,3,5,6,7,8,9,12,13,16,18],singular:[0,6,13,16,17],sinusoid:3,site:[0,1,2,3,4,6,7,8,11,13,14,17],situat:[0,4,5,7,13,18],six:[3,18],size:[0,1,2,3,4,5,6,8,9,10,11,13,16,18],sketch:10,ski:9,skill:0,skip:[3,4,11],skiprow:[],skl:[0,6],sklearn:[0,1,3,5,6,7,8,9,10,11,13,14],skplt:[7,10],sl:6,slack:8,slice:[2,16],slide:[0,3,18],slight:[6,13],slightli:[1,2,3,5,6,7,10,18],slope:[8,11,12],slow:[0,2,8,13],slower:[5,16],slowest:16,slowli:12,slp:1,small:[0,1,2,3,5,6,8,9,10,11,12,13,15,16,18],smaller:[0,1,2,5,6,8,9,11,13,18],smallest:[0,4,14],smallest_row_index:14,smooth:[0,3,6,13],sn:[0,1,3,6,7],sne:11,so:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],soar:6,social:0,soft:[1,7,10,12],soften:8,softmax:[3,7],softwar:[0,8,15,16,17],sol:8,sole:[0,6],solid:[0,7],solitem:[],soltyp:[],solut:[0,1,2,3,5,6,8,10,11,13,16,18],solutionsummari:[],soluton:2,solv:[0,1,3,5,6,8,10,11,12,13,16,17],solve_expdec:2,solve_ode_deep_neural_network:2,solve_ode_neural_network:2,solve_pde_deep_neural_network:2,solveod:2,solveode_popul:2,solver:[2,7,8,9,10,11,16],some:[0,1,2,3,4,5,6,7,8,9,10,11,12,14,17,18],some_model:6,somehow:4,someth:[0,1,3,4,7,9,11,18],sometim:[0,1,11,12,13,14],soon:16,sophist:0,sopt:13,sort:[5,6,9,11,18],sound:[3,5],sourc:[0,1,3,6,15,16,18],space:[0,1,4,5,8,9,11,12,13,14,18],span:[0,3,5,9,11,16],spare:1,spars:[3,6,16],sparse_mtx:16,sparsecategoricalcrossentropi:3,sparsiti:10,spatial:[1,2,3,12],spdiag:[],speak:18,special:[6,7,10,12,13,16,18],specif:[0,1,2,3,4,5,6,7,8,9,11,12,15,16,18],specifi:[0,3,5,6,7,9,11,13,14,18],specifici:[0,10],spectacular:3,spectral:1,speech:[0,1,3,4,12],speed:[1,2,4,13],spend:18,sphere:0,spin:6,spite:0,spline:8,split:[1,3,4,5,6,8,9,10,11,14,18],splite:0,splitter:[1,10],spmatrix:[],spontan:18,spot:3,spread:[0,11,18],springer:20,spuriou:13,sqquar:5,sqrsignal:3,sqrt:[0,3,4,5,6,8,10,11,13,18],squar:[1,2,3,4,7,8,9,11,13,14,15,16,17,18],squarederror:10,squaredeuclidean:14,squash:12,squeez:2,srand:[],srtm:6,srtm_data_norway_1:6,sse4:[],stabil:5,stabl:[0,4,5,6,7,9,11,15],stack:[2,3,4],stacklevel:0,stage:[5,13],stai:[0,2,4,5,11],stand:[0,5,9,12],standard:[0,1,4,5,6,7,8,10,12,16,18],standard_basi:2,standardscal:[0,6,7,8,9,10,11],stanford:13,start:[0,1,2,3,4,5,6,8,9,10,11,12,13,14,16,17,18],start_box:[2,13],start_nod:[2,13],start_tim:14,startpoint:[],stat:6,state:[1,2,4,5,6,7,8,10,11,12,13,15,18],statement:[0,7,16],statist:[0,1,3,4,7,9,10,11,12,13,14,16,17,20],statu:[0,7,11],stavang:6,std:[0,4,6],stdev:[],stdout:[],steep:13,step:[0,1,2,3,4,6,7,9,10,11,12,13,14,16],step_fn:[7,12],step_length:13,steps_list:9,steps_per_epoch:[3,4],stereo:3,stian:19,still:[0,2,3,5,6,11,13,18],stimuli:12,stk2100:20,stk3155:17,stk4021:20,stk4051:20,stk4155:17,stk5000:20,stk:20,stochast:[0,1,5,6,8,11,12,17],stock:4,stoke:12,stone:[0,7],stop:[1,4,7,9,11,13,14],storag:5,store:[0,1,2,3,6,11,13,18],storehaug:19,str:[1,3,4],straight:[0,6,8,13],straightforward:[0,2,3,5,6,8,9,10,13,16],strategi:[0,1,9],stratifi:6,streamtyp:[],strength:[0,5,14],stretch:11,strict:[8,13],strictli:[8,13],stride:[4,16],strike:6,string:1,stroke:7,strong:[3,6,9,10,12,16,18],strongli:[0,8,15,16],stronli:0,structur:[0,1,2,3,6,9,10,12,15],stuck:[1,13],student:[0,17,19,20],studi:[0,3,4,5,6,7,8,11,12,13,15,20],studier:[17,20],style:[0,7,9,16],sub:[9,12],subarg:[2,13],subdivid:[0,16],subfield:0,subject:[6,8,18],subplot:[0,1,3,4,6,7,8,9,10,13,14],subplots_adjust:[8,18],subprogram:16,subract:0,subroutin:0,subscript:1,subsequ:[1,4,5,6,12,16,18],subset:[1,6,9,12,13,15],subspac:[0,8,11],substanti:[9,10],substep:11,substitut:[3,6,12,16],subsubset:9,subtask:6,subtl:1,subtract:[0,4,5,6,11,13,16,18],subtre:9,subval:[2,13],succeed:[0,4],success:[3,7,9,13,18],successfulli:[4,9],sucess:[],sudo:[0,15],suffer:[0,1,2,5,10],suffici:[1,6,8,11,13],suggest:[1,13,20],suit:[8,12],suitabl:[0,18],sum:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],sum_:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,16,18],sum_i:[0,2,5,6,8,13],sum_j:6,sum_ja_:0,sum_k:[6,8,12,16],sum_m:3,sum_n:3,sum_nx_:3,summar:[5,6,9],summari:[1,3,4,10,17],summat:[0,3],sunni:9,superfici:3,superscript:[1,12],supervis:[0,5,6,7,9,12,15],supplement:7,support:[0,1,9,10,11,13,15,17],suppos:[0,5,6,7,8,10,11,12,13,16],suppress:[5,13],sure:[0,1,4,6],surf:6,surfac:[0,6],surpass:6,surpris:0,surround:[3,15],survei:[0,5,6],suyrzm0:17,svc:[8,9,10],svd:[0,6,11,17],svdinv:5,svm:[8,9,10,11],svm_clf:[8,10],swap:2,swapax:2,swath:5,sy:13,symbol:[1,5,11,13,15,18],symmeteri:1,symmetr:[0,5,8,11,12,13,16],symmetri:6,sympi:[0,15],synonim:18,syntax:[1,13],syntaxerror:1,syrk:[],system:[0,1,3,4,6,7,9,10,12,13,15,16,20],systemat:[4,6],t0:[3,6,13],t1:[2,13],t2:2,t3:2,t:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19],t_0:[2,9,13],t_1:13,t_:2,t_b:10,t_i:[1,2,5,12],t_j:12,t_k:9,tabl:[9,18,19],tabul:0,tackl:4,tag:[2,3,4,5,6,7,12,13,14,16,18],taht:0,tail:18,tailor:[2,8,11],taiwan:0,take:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,16,18],taken:[0,1,3,6,10,13,16],tan:3,tangent:[1,4,12,13],tanh:[1,4,7,8,12,13],tape:[3,4],target:[0,1,3,4,5,6,7,8,9,10,11,12,13],target_nam:9,task:[0,1,3,6,9,11,12,14],tau:[3,5,18],tax:0,taylor:[2,13],taylornr:13,tc:8,team:1,teaser:0,technic:[0,5,6,13],techniqu:[0,1,8,10,13,15,17,18,20],technolog:[0,1],tek5040:20,tell:[0,4,6,10,11,13,18],temp1:1,temp2:1,temp:1,temperatur:[0,9],temporarili:1,ten:3,tend:[3,5,6,8,9,10,12,13,14],tendenc:0,tension:6,tensor:[3,4],tensorflow:[0,2,4,8,14,15,16,17,20],term1:[5,6,11],term2:[5,6,11],term3:[5,6,11],term4:[5,6,11],term:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18],termin:[0,4,5,9,10,13],terrain1:6,terrain:6,test:[3,4,5,6,7,8,9,10,13,14,16,18],test_acc:3,test_accuraci:[1,3],test_error:6,test_imag:[3,4],test_ind:6,test_input:4,test_label:[3,4],test_loss:3,test_pr:1,test_predict:1,test_rnn:4,test_scor:[7,10],test_siz:[0,1,3,5,6,10],test_split:9,testerror:[0,6],testi:4,testpredict:4,testx:4,text:[0,1,2,4,5,8,9,11,13,16,17,18,20],textbook:17,textual:9,textur:1,tf:[1,3,4,13,14],tfe_py_execut:[3,4],th:[0,1,2,5,6,7,9,12,13,14,16,18],than:[0,1,2,3,4,5,6,7,9,10,11,12,13,15,18],thank:[4,6],theano:[1,15],thei:[0,1,2,3,4,5,6,7,8,9,11,12,13,16,18],them:[0,1,3,4,6,8,9,10,11,12,13,16],theme:0,themselv:[0,18],thenc:6,theorem:[2,6,7],theoret:[0,4,10],theori:[0,1,3,8,9,12,13,15,17,20],thereaft:[0,5,6,11,12,16],therebi:[0,5,7,11],therefor:[0,1,2,3,4,6,7,8,11,13,18],therein:11,thereof:[0,6,13],theta:[1,4,13,18],theta_:[1,13],theta_i:1,theta_k:[],theta_linreg:13,theta_t:13,thi:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],thing:[0,1,2,4,5,7,9,18],think:[0,1,3,4,6,9,12,13,14,18],third:[0,3,6,13],thirti:7,those:[0,3,5,6,8,9,10,11,16,17],though:[1,2,3,4,13,16,18],thought:[6,14,18],thousand:[0,1],thread:[3,4],three:[0,1,3,5,6,8,9,12,16,17,18,19],threshold:[1,3,9,10,11,12,13],through:[0,1,2,3,4,5,6,8,11,12,13,14,15,16,18],throughout:[0,4,5,14,15,16,18],thu:[0,1,2,5,6,7,8,10,11,12,13,19],thumb:[0,6],thursdai:17,tibshirani:[6,17,20],tick_param:6,ticker:[6,13,18],tif:6,tight_layout:[1,7],tightli:11,tild:[0,5,6,11,18],till:[0,4,7,8,9,10,12,16],time:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18],timefunct:[],timeit:4,timer:4,tini:1,tip:3,titl:[0,1,2,3,4,6,7,8,9,10,13,18],tmp:13,tmp_log:[3,4],tn:[2,3],to_categor:[1,3,4],to_categorical_numpi:1,to_numer:[0,6],to_str:[],todai:3,togeth:[0,3,6,8,11,15],toi:[13,14],told:13,toler:[2,6,14],tolist:4,tomographi:12,too:[0,2,4,5,6,9,11,13,18,20],took:8,tool:[0,1,3,6,13,15],toolbox:8,top:[0,3,5,6,9,10,15],top_node_typ:2,top_trac:2,topic:[0,5,6,7,8,15,17,20],topolog:[1,3,12],toposort:2,torkjellsdatt:19,toss:[10,18],total:[0,1,2,3,4,6,7,8,10,11,12,13,14,16,18,19],total_loss:4,totalclustervari:14,totalscatt:14,totalvari:[],toward:[1,2,7,12,13],town:0,tp:4,tpng:9,tpu:15,tqdm:6,tr:[],trace:[2,13],trace_stack:[2,13],traceback:[0,2,3,4,6,7,8,9,10,13],traceback_util:[3,4],tracer:[2,13],track:[3,13,14,16],tract:0,tractabl:0,trade:[5,9],tradeoff:[0,5,17],tradit:[0,1,4,6],train:[2,3,5,6,8,9,10,11,12,13],train_accuraci:[0,1,3],train_dataset:4,train_end:[0,1],train_error:6,train_funct:[3,4],train_imag:[3,4],train_ind:6,train_label:[3,4],train_pr:1,train_siz:[0,1,3],train_step:4,train_test_split:[0,1,3,5,6,7,9,10,11],train_test_split_numpi:[0,1],trainabl:4,trainable_vari:4,trained_model:6,trainerror:0,traini:4,training_checkpoint:4,training_dataset:4,training_gradi:13,training_gradient_fun:13,training_loss:13,trainingerror:6,trainpredict:4,trainscor:4,trainx:4,trait:0,trajectori:4,tran:[],transfer:9,transform:[0,5,6,7,8,9,10,11,12,13,15,16],transit:[6,12],translat:[1,4,6,10],transpos:[1,5,11,16],travers:[0,5],treat:[0,1,3,6,12,13,18],tree:[0,1,6,15,17],tree_clf:[9,10],tree_clf_:9,tree_clf_sr:9,tree_reg1:9,tree_reg2:9,tree_reg:9,trend:18,trevor:20,tri:[2,3,4,9,13],triain:0,trial:[0,2,4,6,13,18],triangl:13,triangular:16,trick:[3,4,8,11,13,18],trickier:18,tridiagon:16,trillion:15,trivial:[0,1,5,11,18],troubl:[0,8,12],truck:3,true_beta:6,true_divid:1,true_fun:6,tucker:8,tumor:[7,9],tumour:7,tunabl:1,tune:[4,9,13,16],tup:[],tupl:[2,13],turn:[0,1,5,6,7,8,9,10,11,12,13,16,18],tutori:[1,4],tv:2,tveito:2,tweak:[1,4,10,18],twice:13,twist:11,twister:[],two:[0,1,2,4,5,6,7,9,10,11,12,13,16,17,18,20],tx:13,tx_1:13,txt:4,ty:13,type:[0,1,3,6,8,10,13,16,18],typeerror:[2,13],typic:[0,1,2,3,4,5,7,9,10,12,13,18],u:[0,2,5,6,10,11,12,16],u_:16,u_i:12,u_m:10,ua:0,ubuntu:[0,15],uci:0,uio:[17,19,20],un:14,unari:16,unary_f:[2,13],unary_oper:[2,13],unary_to_nari:2,unbalanc:[6,9],unbias:[0,5,6],uncent:6,uncertainti:[0,5],uncertitud:18,unchang:[1,3],uncorrel:[10,18],undefin:5,under:[0,1,5,6,10,13,15],underdetermin:0,underfit:[1,6],underflowproblem:5,undergo:5,undergradu:17,underli:[0,1,9,13,18],underset:[4,14],understand:[0,1,3,5,6,10,13,14,15],understood:[8,13],undesir:8,undetermin:[5,8],undo:4,unexpect:6,unexpected:18,unfair:6,unfortun:[1,8,9,10],unicode_liter:[8,9],uniform:[0,1,5,6,11,13,18],uniform_real_distribut:[],uniformli:[13,18],unifrompdf:18,unimport:13,union:[5,6],uniqu:[0,2,6,13,14,16],unique_cluster_label:14,unit:[0,1,3,4,5,10,12,18],unitari:[5,6,16],unitarili:16,uniti:18,univari:18,univers:[0,1,2,13,15,17,19],unix:1,unknow:[0,16],unknown:[0,1,3,4,5,6,8,10,16],unknowwn:12,unlabel:1,unless:[0,3,6,11,13],unlik:[1,3,8,13],unnecessarili:9,unord:3,unravel:1,unrol:[3,11],unseen:[0,7,9],unstabl:1,unsupervis:[0,1,4,12,15,17],unsymmetr:16,until:[1,2,4,9,12,13,14],untouch:0,unusu:12,up:[1,3,4,5,6,8,10,11,13,14,15,16,17,18],updat:[1,2,10,12,13,14],upload:[15,20],upon:[0,1,6,11,16],upper:[0,8,9,16],uppercas:16,upsampl:4,upscal:4,us:[4,5,6,8,9,10,11,12,14,16,17,18,20],usag:[0,8,15],usd10000:0,usd:0,use_bia:4,use_multiprocess:[3,4],usecol:0,useless:1,user:[0,1,2,3,4,6,7,8,11,14,15,16],userwarn:[3,4,6,14],usetex:18,usg:6,usr:18,usual:[0,3,4,7,12,13,14],ut:5,util:[0,1,3,4,6,7,10,14],ux:16,v0:18,v1:18,v2:18,v:[2,4,5,6,11,13,15],v_0:11,va:1,val:13,val_accuraci:3,val_loss:4,vale:2,valid:[0,1,4,7,9,10,13,15,17,18],validation_batch_s:[3,4],validation_data:[3,4],validation_freq:[3,4],validation_split:[3,4],validation_step:[3,4],valu:[0,1,2,3,4,6,7,8,9,10,12,13,14,15,16,17],valuat:9,valueerror:[0,2],valy:4,van:0,vandenbergh:[8,13],vandermond:0,vanilla:[0,6,11,14],vanish:[1,4,13,18],var_x:18,varabl:8,varepsilon:[5,6],varepsilon_:[5,6],varepsilon_i:[5,6],vari:[0,1,3,5,6,10],variabl:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,16],varianc:[0,1,5,7,9,10,11,13,14,15,16,17,18],variance_i:[5,11],variance_x:[5,11],variant:[0,1,6,8,12,13],variat:[3,4,11],varieti:[0,3,12,15],variou:[1,3,5,6,7,8,9,11,12,13,15,16,18],vartempvec:[],varvec:[],varydimens:4,vastli:3,vaue:1,vault:0,vdot:[2,13],vec:6,vector:[0,1,2,3,4,5,6,7,9,10,11,13,14,15,17],vector_mean:14,ventur:[0,8,15],verbos:[1,3,4],veri:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20],verifi:[3,11,16],versatil:8,versicolor:[8,9],version:[0,3,4,10,13,14,15,16,18],versu:1,vert:[0,1,5,6,7,8,9,11,13],vert_1:[5,6],vert_2:[5,6,11],via:[0,5,6,7,8,9,10,11,12,15,16,17,18],vidal:11,video:[0,1,12,15,17],view:[1,3,5,6,12,13,17,18,20],violat:8,virginica:9,viridi:[0,1,2,3],virtual:1,viscos:13,viscou:13,visibledeprecationwarn:2,vision:[0,3],visual:[0,3,11,12,15],visualis:1,viz:[6,8,18],vjp:[2,13],vjp_0:[],vjp_0_fun:[],vjp_1:[],vjp_1_fun:[],vjp_argnum:[],vjpfun:2,vjpmaker:[],vjpnode:[2,13],vmax:[1,6],vmc:[],vmin:[1,6],voic:3,volum:[0,3],vote:10,voting_clf:10,votingclassifi:10,votingsimpl:10,vrtx:17,vs:[0,4,6],vspace:[2,13],vstack:[5,11,16,18],vt:5,w1:8,w2:[8,11],w3:8,w:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,16,18],w_1:[8,16],w_1x_1:8,w_1x_:8,w_2:[8,16],w_2x_2:8,w_2x_:8,w_3:16,w_4:16,w_:[1,12],w_hidden:2,w_i:[1,2,10],w_ix_i:12,w_j:16,w_m:16,w_output:2,w_px_:8,w_px_p:8,wa:[0,1,3,4,5,6,7,10,11,12,13,14,16],wai:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,16,18],walk:9,walker:18,wang:0,want:[0,1,2,3,4,5,6,8,9,10,11,12,13,14,15,18],warn:[1,3,4,8,14],warrant:6,wast:3,watch:[3,4,15],wave:3,wavelet:8,we:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],weak:[9,10,14],weather:[1,12],web:[15,17],webpag:17,websit:[6,16,17],wedg:[8,18],wednesdai:17,wee:11,week:[0,5,6,7],weekli:[15,20],weight:[0,1,2,3,6,7,9,10,12,13,18],weigth:2,welcom:[8,15],well:[0,1,2,3,4,5,6,7,8,9,10,12,13,15,16,17,18,20],went:8,were:[0,1,3,4,5,6,7,8,10,11,12,14,18],wessel:0,westbi:19,westby:19,what:[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18],whatev:3,when:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],whenev:[13,18],where:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19],wherea:[6,18],wherein:[1,12],whether:[0,3,5,7,9,18],which:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19],whichev:[1,3],white:9,who:[0,17],whole:[1,3,4,5,9,11,13],whose:[0,6,10,18],whow:[5,11],why:[0,1,3,6,13],wide:[0,1,3,6,7,12,15,16],widehat:6,width:[0,3,8,9],wieringen:0,win:10,wind:9,wing:19,winther:2,wiothout:6,wiscons:7,wisconsin:10,wisdom:6,wise:[0,1,5,12,13],wish:[0,2,5,7,8,11,13,14,16],with_std:0,wither:6,within:[0,2,3,4,7,9,12,13,14,18,20],withinclust:14,without:[0,1,5,6,8,9,11,12,13],won:0,wonder:8,word:[0,1,3,4,5,6,14,18],work:[0,1,4,6,7,8,9,13,15,17,18],worker:[3,4],workshop:17,world:[0,8],worldwid:0,wors:[0,1,3,4,6],worst:[],worth:9,would:[0,1,3,5,6,7,8,9,10,11,12,13,16,18],wrap:[2,6,16,17],wrap_util:[2,13],wrapper:0,write:[0,1,2,3,5,6,7,8,12,13,16],written:[0,2,3,5,11,12,13,15,16,18],wrong:[1,8],wrongli:10,wrote:[5,11],wrt:[2,10,13],wth:10,www:[15,16,17,20],wx_1:8,x0:8,x1:[4,8,9,10,13],x1_exampl:8,x1d:8,x2:[8,9,10,13],x2d:[8,11],x2d_train:11,x2dsl:11,x3:8,x:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],x_0:[0,5,11,16],x_1:[0,2,5,6,7,8,9,10,11,13,16,18],x_2:[0,2,5,6,7,8,9,10,11,13,16,18],x_3:[8,16,18],x_4:16,x_:[0,2,3,5,6,8,10,11,13,14,16,18],x_center:11,x_data:1,x_data_ful:1,x_hidden:2,x_i:[0,1,2,5,6,7,8,9,10,11,12,13,14,16,18],x_input:2,x_ix_:0,x_iy_i:8,x_j:[0,2,8,9,12,18],x_jy_j:8,x_k:[12,14,16,18],x_l:18,x_m:[6,12,16,18],x_n:[0,2,3,6,8,11,12,13,16,18],x_new:[9,10],x_offset:6,x_output:2,x_p:[3,7,9],x_poli:9,x_poly10:9,x_pred:4,x_prev:2,x_reduc:11,x_scale:8,x_test:[0,1,3,5,6,7,9,10,11],x_test_own:6,x_test_scal:[0,6,7,9,10,11],x_tot:4,x_train:[0,1,3,4,5,6,7,9,10,11],x_train_mean:6,x_train_own:6,x_train_scal:[0,6,7,9,10,11],x_val:1,xarrai:15,xavier:1,xbnew:13,xcode:[0,15],xdclassiffierconfus:10,xdclassiffierroc:10,xg_clf:10,xgb:10,xgbclassifi:10,xgboost:9,xgboot:10,xgbregressor:10,xgparam:10,xgtree:10,xi:[8,13],xi_1:8,xi_:8,xi_i:8,xk:8,xla:15,xlabel:[0,1,2,3,4,5,6,7,8,9,10,13,18],xlim:[6,10],xm:9,xmesh:13,xnew:[0,13],xp:18,xpanda:0,xpd:[5,11],xplot:0,xs:9,xscale:0,xsr:9,xt_x:13,xtest:6,xtick:[3,6,8,9],xtrain:6,xu:0,xx:[0,16],xy:[0,6,8,16],xytext:8,xz:16,y1:4,y2:4,y3:4,y:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,16,18],y_0:[0,5,11,16],y_1:[0,5,8,9,11,13,16],y_1y_1:8,y_1y_1k:8,y_1y_2:8,y_1y_2k:8,y_1y_n:8,y_1y_nk:8,y_2:[0,5,8,9,11,16],y_2y_1:8,y_2y_1k:8,y_2y_2:8,y_2y_2k:8,y_3:[0,9,16],y_4:16,y_:[0,1,5,6,10,11,16],y_data:[0,1,5,6],y_data_ful:1,y_decis:8,y_fit:0,y_i:[0,1,5,6,7,8,9,10,11,12,13,16],y_if_:10,y_ix_:0,y_ix_i:[7,8,13],y_iy_jk:8,y_j:[6,8,12],y_k:12,y_m:16,y_model:[0,4,5,6],y_n:[8,13],y_ny_1:8,y_ny_1k:8,y_ny_2:8,y_ny_2k:8,y_ny_n:8,y_ny_nk:8,y_offset:6,y_plot:9,y_pred1:9,y_pred2:9,y_pred:[0,1,4,6,7,8,9,10],y_pred_rf:10,y_pred_tre:10,y_proba:[7,10],y_scaler:6,y_test:[0,1,3,4,5,6,7,9,10,11],y_test_onehot:1,y_test_predict:0,y_tot:4,y_train:[0,1,3,4,5,6,7,9,10,11],y_train_mean:6,y_train_onehot:1,y_train_predict:0,y_train_scal:6,y_val:1,ye:[3,6,7],year:[0,15],yet:[0,1,6,8,11,13],yhd5w:17,yi:13,yield:[0,2,5,6,8,10,12,13,14,16,18],yk:8,ylabel:[0,1,2,3,4,5,6,7,8,9,10,13,18],ylim:[3,6],ym:9,ymesh:13,yn:0,yo:[8,9,10],yoshua:[1,20],you:[0,1,2,3,4,5,6,8,9,10,11,13,15,16,18,20],young:0,your:[1,2,4,5,6,8,11,13,15,16],yourself:[11,13],youtu:17,youtub:15,ypred:6,ypredict2:13,ypredict:[0,13],ypredictlasso:5,ypredictol:[0,5],ypredictown:6,ypredictownridg:6,ypredictridg:[0,5,6],ypredictskl:6,ys:9,ytest:6,ytick:[3,6,8,9],ytild:[0,6],ytildelasso:5,ytildenp:0,ytildeol:[0,5],ytildeownridg:6,ytilderidg:[5,6],ytrain:6,yvqgvcsovpw:17,yx:16,yy:16,yz:16,z:[0,1,2,3,4,5,6,7,8,9,11,12,13,16,18],z_0:16,z_1:16,z_2:16,z_:[1,2,12,16],z_c:1,z_h:1,z_hidden:2,z_i:[1,12],z_j:[1,12],z_k:12,z_m:1,z_mod:9,z_o:1,z_output:2,zaman:18,zaxi:6,zero:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],zeros_lik:4,zfill:4,zip:[2,4,6,13],zl:[],zm_h:0,zn:0,zone:0,zx:16,zy:16,zz:16},titles:["3. Linear Regression","14. Building a Feed Forward Neural Network","15. Solving Differential Equations  with Deep Learning","16. Convolutional Neural Networks","17. Recurrent neural networks: Overarching view","4. Ridge and Lasso Regression","5. Resampling Methods","6. Logistic Regression","8. Support Vector Machines, overarching aims","9. Decision trees, overarching aims","10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods","11. Basic ideas of the Principal Component Analysis (PCA)","13. Neural networks","7. Optimization, the central part of any Machine Learning algortithm","12. Clustering and Unsupervised Learning","Applied Data Analysis and Machine Learning","2. Linear Algebra, Handling of Arrays and more Python Features","Teaching schedule with links to material","1. Elements of Probability Theory and Statistical Data Analysis","Teachers and Grading","Textbooks"],titleterms:{"1":0,"10":17,"11":17,"12":17,"13":[],"14":17,"15":[],"16":17,"17":17,"18":17,"19":17,"2":[0,17],"20":[],"2021":[],"2022":19,"21":17,"22":17,"23":17,"24":17,"25":17,"26":17,"27":[],"28":17,"29":17,"3":[0,17],"30":17,"31":17,"34":17,"35":17,"36":17,"37":17,"38":17,"39":17,"4":[0,17],"40":17,"41":17,"4155":[],"42":17,"43":17,"44":17,"45":17,"46":17,"47":17,"5":[0,17],"6":[],"7":17,"8":[],"9":17,"case":[8,10,18],"do":1,"final":12,"function":[0,1,6,7,8,10,11,12,13,18],"import":[5,16],"new":4,A:[0,1,4,8,9],And:13,Ising:6,The:[0,1,2,3,5,6,7,8,9,11,12,15],With:4,activ:[1,12],actual:[],ad:[0,6],adaboost:10,adam:13,adapt:10,adjust:1,adversari:4,again:[3,9],aim:[8,9],algebra:16,algorithm:[9,10,11,12],algortithm:13,all:8,an:[0,4,10],analys:5,analysi:[0,5,6,11,15,18],analyt:0,ani:13,anoth:9,appli:15,approach:[0,8,14],approxim:12,architectur:1,arrai:16,assist:19,august:17,autocorrel:18,autograd:[2,13],automat:13,back:[1,11,12],background:15,bag:10,base:13,basic:[0,5,7,9,10,11,16],batch:1,bay:5,befor:11,better:8,bia:6,binari:1,binomi:[],bird:10,block:[],boost:10,bootstrap:[6,10],boston:0,breast:1,bring:12,build:[1,3,9],calcul:[],cancer:[1,7,9,11],cart:9,central:[13,15,18],chain:12,chang:10,chi:0,choos:1,cifar01:3,classic:11,classif:[1,9,10],classifi:8,clip:1,cluster:14,cnn:3,code:[0,1,2,5,9,11,12,14],collect:[1,3],compar:[2,10],complex:[0,6],complic:6,compon:11,comput:9,con:9,concept:18,conjug:13,continu:[],convex:[8,13],convolut:[3,12],correl:11,cost:[1,10],cours:[15,20],covari:[5,11,18],cross:6,cumul:[],data:[0,1,3,6,7,9,11,15,18],dataset:[1,3],decai:2,decis:[9,10],decomposit:[5,11,16],deep:[1,2],defin:1,definit:[],degre:0,demonstr:[],dens:0,deriv:[5,12],descent:[2,10,13],detail:3,develop:1,deviat:[],diagon:11,dice:[],differ:8,differenti:[2,13],diffus:2,dimension:[2,3,8],disadvantag:9,discret:18,disguis:[],distribut:[5,18],domain:18,down:1,dropout:1,element:[0,18],elimin:16,ensembl:10,entropi:9,environ:0,equat:[0,2,12],error:[0,10],euler:2,evalu:1,event:[],exampl:[0,1,2,3,4,6,7,8,9,10],exercis:[0,6],expect:18,experi:18,explor:0,exponenti:2,extrapol:4,extrem:10,ey:10,fall:19,famili:1,famou:16,featur:[9,16],feed:[1,12],fine:1,first:[4,12],fit:[0,10],forc:3,forest:10,forward:[1,2,12],fourier:3,frank:6,freedom:0,frequentist:0,from:[5,10,12],full:2,further:[3,5],fy:[],gan:4,gaussian:16,gd:13,gener:[4,9],geometr:11,gini:9,good:0,grade:19,gradient:[1,2,10,13],growth:2,ha:15,handl:16,hidden:2,hous:0,how:[],hyperparamet:1,hyperplan:8,i:1,id3:9,idea:11,implement:1,implic:5,improv:1,includ:13,increment:11,index:9,inform:19,input:2,instal:15,instructor:19,interpret:[5,11],introduc:11,introduct:[0,6,15,16],invers:[5,16],iter:10,its:[],jackknif:[],jungl:10,kera:[1,3],kernel:[8,11],lagrangian:8,lasso:[5,6],later:5,layer:[1,2,3,12],learn:[0,1,2,11,13,14,15],least:[5,6],level:10,librari:15,likelihood:7,limit:[1,13,18],linear:[0,8,13,16],link:[5,11,17,20],logist:[7,13],lu:16,machin:[0,8,13,15],main:18,make:[0,9,10],mani:[10,12],materi:17,math:5,mathemat:[3,5,8],matric:[5,16],matrix:[1,5,11,12,16],matter:0,mean:0,meet:[5,10,18],mercer:8,mersenn:[],method:[6,9,10,13],mlp:12,mnist:[3,4],model:[0,1,4,6,12],moment:[],momentum:13,moon:[8,9],more:[3,6,16],multilay:12,multipl:[1,3],multipli:8,name:[],network:[1,2,3,4,7,12],neural:[1,2,3,4,12],non:8,normal:[0,1],norwai:[],notat:12,novemb:17,now:[1,9],nuclear:0,nueral:7,number:[0,2,18],numer:[2,18],numpi:16,object:3,observ:[],obtain:11,octob:17,od:2,off:6,ol:[5,6,13],one:[2,12],oper:16,optim:[1,8,13,15],ordinari:[5,6],organ:0,oslo:20,other:[4,9,11,12,16],our:[0,4,5,11,13],outcom:15,output:2,overarch:[0,4,8,9],overview:10,own:[0,10,11],packag:16,part:[13,15],partial:2,pass:1,pca:11,pdf:18,perceptron:12,perform:[1,9],period:3,perspect:1,point:4,poisson:2,polynomi:3,popul:2,practic:13,pre:[1,3],predict:4,prerequisit:[3,15],princip:11,principl:3,pro:9,probabl:[5,18],problem:[1,2,13],procedur:9,process:[1,3],program:[2,13],project:6,prop:13,propag:[1,12],properti:[5,18],pseudo:[],python:[0,9,15,16],quick:8,ran0:[],random:[10,11,18],read:9,real:6,recip:[],recurr:[4,12],reduc:0,reduct:3,reformul:2,regress:[0,5,6,7,9,10,13],regular:1,relev:20,relu:1,remark:3,remind:[6,8],requir:[2,15],resampl:6,rescal:6,resourc:2,revisit:13,ridg:[0,5,6],rm:13,rng:[],rule:12,s:[8,10],sampl:11,schedul:17,schemat:9,scheme:2,scikit:[0,1,11],select:[],semest:19,septemb:17,set:[0,2,3,9,12],sgd:13,should:1,simpl:[0,4,9,13],singl:10,singular:[5,11],situat:[],soft:8,softmax:1,solv:2,solver:13,some:[13,16],specifi:2,split:0,squar:[0,5,6,10],standard:13,state:0,statist:[5,6,15,18],steepest:[10,13],stk3155:[],stochast:[13,18],superposit:3,supervis:1,support:8,svd:5,systemat:3,teach:[17,19],teacher:19,techniqu:[6,11],technolog:15,tensorflow:[1,3],test:[0,1],textbook:20,theorem:[5,8,11,12,18],theori:18,three:[],tip:13,togeth:12,top:1,toss:[],toward:11,trade:6,tradeoff:6,train:[0,1,4],transform:3,tree:[9,10],tune:1,two:[3,8,15],type:[2,4,12],uncorrel:[],uniform:[],univers:[12,20],unsupervis:14,up:[0,2,9,12],us:[0,1,2,3,7,13,15],valid:6,valu:[5,11,18],variabl:18,varianc:6,variou:0,vector:[8,12,16],view:[0,4,10],visual:[1,9],vs:3,wai:9,wave:2,week:17,weekli:17,what:0,which:1,why:[],wisconsin:7,write:[4,11],xgboost:10,your:[0,10]}})
\ No newline at end of file
+Search.setIndex({docnames:["chapter1","chapter10","chapter11","chapter12","chapter13","chapter2","chapter3","chapter4","chapter5","chapter6","chapter7","chapter8","chapter9","chapteroptimization","clustering","intro","linalg","schedule","statistics","teachers","textbooks"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.intersphinx":1,sphinx:56},filenames:["chapter1.ipynb","chapter10.ipynb","chapter11.ipynb","chapter12.ipynb","chapter13.ipynb","chapter2.ipynb","chapter3.ipynb","chapter4.ipynb","chapter5.ipynb","chapter6.ipynb","chapter7.ipynb","chapter8.ipynb","chapter9.ipynb","chapteroptimization.ipynb","clustering.ipynb","intro.md","linalg.ipynb","schedule.md","statistics.ipynb","teachers.md","textbooks.md"],objects:{},objnames:{},objtypes:{},terms:{"0":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,19],"00":[0,1,5,6,11],"000":[1,3],"0000":[],"00000":11,"000000":[5,11],"00000000e":5,"0000e":[],"0001":1,"00010403373827253124":9,"000148":[],"00019998":5,"00024087":5,"00028369228101198006":[],"00029012":5,"0003043256065368937":[],"0003153514830957865":6,"00031535148309580783":6,"0003153514830958081":[],"0003153514830958126":[],"0003153514830958235":[],"00034944":5,"000417932":2,"00042089":5,"000464088":2,"00050694":5,"00058016":6,"000599":[],"00060705":6,"00060708":[],"00061058":5,"00062582":[],"00062595":6,"00066668":6,"00068734":6,"00068941":[],"00068946":6,"00069103":[],"00073541":5,"000755":11,"00075534":11,"00076495":6,"00076905":6,"00076919":[],"00076925":[],"0007698473260556325":6,"0007698473260556334":[],"0007698473260556339":[],"0007698473260556344":6,"00079123":[],"00079129":6,"00079130":[],"00079968":5,"00084705":6,"00084711":[],"00085883":[],"00085884":[],"00085889":6,"00087697":6,"00088573":5,"00092645":[],"00092646":[],"00092647":6,"00096314":5,"001":[1,2,8,13],"00100519":6,"0010479245355337968":[],"0010479245887943952":[],"0010479245926411787":6,"00105081":6,"00106677":5,"00107405":6,"00111756":6,"0011526":6,"00115999":5,"0011828302640124":[],"00118504":[],"00118508":6,"00118527":[],"001263":[],"00128479":5,"001323":6,"00137818":6,"00137823":[],"00137835":[],"00139705":5,"00149311":6,"00149956":6,"00152117":6,"00152188":16,"00154733":5,"00156376":6,"00156379":[],"00156382":[],"00168251":5,"00174276":6,"00175331":6,"00186347":5,"001880":5,"001988":[],"00198806":[],"00200":8,"00202624":5,"00202756":6,"00217499":6,"00224413":5,"00228741":[],"00228742":6,"00233155":[],"0023548":6,"002381316302584885":[],"002381316302584886":6,"0023813163025848865":6,"00242999":6,"00243186":6,"0024401":5,"00249435":6,"002526":[],"00266858":2,"00270244":5,"00274989":6,"00275135":[],"00289724":6,"00293838":5,"002948":[],"0030828":[],"003083":[],"00310113":2,"00312361":6,"00315593":6,"003215318065760509":[],"0032153180657605116":6,"0032153180657605125":[],"00323332":6,"0032542":5,"003301":6,"0033955154592040923":6,"003395515459204093":[],"0033955154592040944":[],"00353823":5,"00355118":16,"0036237":6,"0036367":6,"00369758":6,"003704":[],"003717":[],"003759":[],"003774":[],"003788":[],"0038335":6,"00390021":[],"003909404072811217":[],"003909404072811221":6,"003909404072811231":[],"00391839":5,"0039987":6,"004":5,"004091940707753925":6,"004091940707753948":[],"0040919407077539514":[],"00410387":6,"00410478":6,"004113634617443116":[],"0041136346174431284":[],"004113634617443131":6,"004113634617443135":[],"004113634617443139":6,"00411363461744314":6,"004113634617443141":[],"004113634617443147":6,"0041559863458613296":6,"004155986345861364":[],"004155986345861374":[],"00415763":[],"00424909":2,"00424967":6,"00426027":5,"00433417":11,"00440346":6,"00443743":6,"00445655":11,"004579219539673834":6,"004579219539673836":[],"00458878":6,"004610275230656182":6,"004610275230656187":[],"004610275230656294":[],"00462287":6,"00471782":5,"00472199":6,"00472512":6,"0049544":6,"004999999999999984":[],"004999999999999994":[],"004999999999999996":[],"005":0,"005000000000000011":[],"00512927":5,"00517114":6,"00526348":6,"0053018":6,"00554552":6,"00556826":6,"0056799":5,"00577441":[],"00579953":6,"00588657":6,"00607783":6,"006162":6,"00617499":5,"00630331":6,"00642221":6,"00660427":6,"00672607":6,"00673393":[],"00673407":6,"00676387":6,"0068011":6,"00683748":5,"00683964":6,"007012403613997257":[],"007024126888936694":[],"007024126888938144":6,"0070241268889382116":[],"00719176":6,"00727646693":0,"007315":[],"0074331":5,"00751823":[],"00759119":6,"00784393":6,"00803064":6,"0080866254785146":[],"00813803":6,"00817631":6,"00823002":5,"00827728":6,"00831018":6,"00834567":6,"00848904":6,"0086649156":0,"008675369724975977":5,"008675369724976501":[],"008818897251043893":18,"00894639":5,"00905423":6,"009163470508352211":[],"009163470508352218":5,"009164545680330616":6,"00917248":6,"00934499":6,"009450756365829578":[],"0096208":6,"00990475":5,"00992331":6,"00996754":6,"009981":[],"00998135":[],"00it":[],"01":[0,1,2,5,6,9,11,13,20],"010018312644139205":[],"010018312644139219":6,"010018312644139347":[],"0100706":6,"01023891":[],"010239":[],"010331721306655144":[],"01033172130665515":[],"010331721306655165":6,"010516485576646504":6,"010516485576646513":[],"010516485576652856":[],"010530":[],"01053024":[],"01066519":6,"01076611":5,"0110":18,"0110407067093945":[],"01104071":[],"011076219011339788":[],"01107621901137465":[],"01107621901137467":6,"011225":2,"0113104":6,"01179792":6,"01191824":5,"01199624e":[],"012073649439965807":[],"012073649469946107":6,"012073649472576395":[],"01212754811385597":[],"01219292":6,"01223198":6,"01231917":6,"01257962":[],"012580":[],"012633802944855959":[],"01290947":6,"01295356":5,"013121573975499602":[],"013121573975499604":[],"01312157406137079":[],"013121574061370796":[],"013121574062587286":6,"01318643":6,"01347916":6,"01348565":6,"01367553":6,"01397146":6,"01405935":6,"01416528":6,"014209325470380275":[],"01433809":5,"014436800088896274":[],"014436800088896381":6,"014436800088969727":[],"01449782":6,"01458337":6,"014599964106338128":9,"0146081":6,"01463049":6,"015072388895177088":[],"0150723888951771":6,"015072388895177109":[],"015072388895177157":6,"015072388895177239":[],"01509543":[],"01530715721129232":[],"01531845":6,"01538461538462":[],"01549377":6,"01558197":5,"01591355407242949":[],"016285782696017055":[],"016285782696017142":6,"016285782696075054":[],"01633913":6,"01640891":6,"01655318":6,"016587414993037307":[],"016587414993045335":6,"016587414993045405":[],"01691985":6,"0169643":5,"01708781":6,"01708852":6,"01713366":6,"01724499":5,"01735584819559184":[],"017355848195591845":[],"01735584819559331":6,"017355848195593312":6,"017355848195593354":[],"01756972":[],"017665":5,"01799917e":[],"01817152":[],"018232":[],"01831036e":[],"01831130e":[],"01831200e":[],"01831207e":6,"01831251e":6,"01866537":6,"01869785e":[],"01873344":11,"01873869":5,"01898855":6,"01905883":6,"01908936":6,"019587":[],"01963611":6,"01969145":6,"01975416527168255":6,"019754165271682844":[],"01975416527179247":[],"01975848":6,"02":[0,4,6,7,12],"0202458":[],"020246":[],"02024962":6,"02054837e":6,"02068067":6,"02073509":5,"0209518407597062":[],"02098261":6,"02123176":6,"021250026482402":[],"02159270458799264":[],"021592704587992645":[],"021592704588021164":[],"021592704588021167":[],"021592704588021174":6,"021592704588021178":6,"02198702e":6,"02198703e":6,"022022882954618364":[],"022075":[],"02207532":[],"02208512":6,"02228115":6,"02229529":6,"02252765":5,"022556":[],"02255619":[],"02299949826036602":[],"022999498260366198":6,"0229994982603662":[],"02348765":6,"02354476":[],"023545":[],"02365049":6,"024023115996453476":[],"02408959":0,"0245528":6,"02492265":5,"02493054":[],"02498832":6,"02503753":6,"02511518":6,"02522069":6,"025709":11,"02586427":6,"0260906":6,"02625193":8,"02625928":[],"026408391362671896":[],"02642055e":[],"026605727637176654":[],"026605727637184554":6,"026605727637184558":6,"02660572763718461":[],"026605727637184613":[],"02697521163514974":[],"026986":[],"02698605":[],"02707227":5,"02723445":6,"027609773491022314":[],"02760977349102238":6,"027609773491022387":[],"027609773491022394":6,"027609773491022407":[],"02762405215108776":[],"02786488":[],"027865":[],"02857":4,"02917662":[],"029177":[],"02926396":[],"029483":5,"029613363972682966":[],"029733":[],"02976145":6,"02994311":5,"02f":6,"02it":6,"03":[1,6],"03032441e":6,"030407120354722424":[],"03056589":[],"030566":[],"030693":[],"03069324":[],"03071040e":[],"03076923076924":[],"03077640549":4,"03099776":5,"031":5,"03168642":18,"031846":[],"03184647":[],"03187339273559067":[],"03196357":6,"03251863":5,"03256632e":1,"03267527":6,"03278964":[],"032790":[],"03279636":6,"0330308045180234":[],"0330308045183163":[],"0330308045183219":6,"0330308045188872":6,"0330308045190182":[],"03308408":5,"03326365":[],"033264":[],"033657685071527485":[],"033657685071527624":[],"03365768507152769":6,"03382304823545749":[],"03447512":6,"03562355":6,"03568439":6,"03570747":[],"0358909447132981":[],"0359565":5,"03630548":6,"03707133":11,"037559":[],"03755944":[],"03761519":[],"03781367141738885":[],"03781367141738886":[],"037813671417388985":[],"03781367141738899":[],"03781367141738902":6,"03794112":[],"03814292":6,"03815288":6,"038300":11,"03850557":[],"038506":[],"039039":5,"03981057":[],"0399676689527966":6,"0399676689527968":[],"0399676689527975":6,"04":[1,6,11],"040102":5,"04010697":6,"04063602":6,"041":[],"041148729430502":[],"041148729430523":6,"0411487294305246":[],"0411487294305746":[],"041148729430595":6,"04179719":[],"041797190646905":[],"04220758":6,"042708":[],"04279651270127165":[],"04284519":[],"043":[],"04315108":5,"0433816":[],"04346721":5,"04355837":6,"04362":[],"04368707":[],"0437499":2,"04389027":6,"043927769551648":[],"04413933503955871":5,"04423486":6,"044334":[],"0444119":[],"044613":6,"04483457":[],"04537385":6,"04543942":6,"045603":[],"04566964":6,"0458":9,"04615384615386":[],"04621521":[],"04648335":5,"046491":[],"04649105":[],"0466":[],"04673082":11,"046731":11,"046785461905835435":11,"04683565":5,"047737":[],"04775904":[],"04784395":6,"047953":[],"04818727730430286":6,"04818727730430296":[],"048187277304303056":[],"048653428302840175":[],"048762":[],"048818":[],"04892055":6,"04909093":6,"04912436":6,"04930820e":[],"0495569966278238":[],"0495569966278269":6,"0495569966278295":6,"0495569966278315":[],"049747":[],"049858":[],"049960":5,"04996008":5,"04it":[],"05":[1,4,6,13],"05009826":6,"05087958":[],"050910":[],"05100875":6,"051043":[],"051391":[],"051418":5,"051451":[],"051649":11,"051662":[],"0517473":5,"052206":[],"05227921801205679":6,"05227921801205691":[],"05227921801205692":[],"052279218012057004":[],"052330":[],"052372":[],"05255759":[],"05263":[],"05268304":16,"05290417684691035":[],"05302":[],"0536097":16,"05364854":8,"05367466":18,"053678":[],"05383795":6,"053849":5,"054182":[],"054305":[],"054335":[],"054340":[],"05434571":[],"054411":[],"05447415":6,"054491":[],"054582":[],"054585":[],"054650":[],"054774":[],"054785":[],"054963":[],"05505310046362":[],"05505310046363":2,"055137":[],"055153":[],"055302":[],"055320":[],"05533":[],"055344":[],"055676":[],"055684":[],"055859":[],"055958":[],"05614483":5,"056165":[],"056169":[],"05623":[],"056233":[],"056235":[],"056468":[],"05648":[],"05651951":6,"056528":[],"05667":[],"057088709963182":[],"057163681553428394":[],"05716368155342902":6,"05716368155351588":[],"0572":[],"057469":[],"05756733":[],"057587":[],"057588":[],"05785343":6,"057877":[],"05789007":6,"057899":[],"05796251":6,"058033":[],"058035":[],"058038":[],"058040":[],"058058":[],"05807125":6,"058088":[],"058416":[],"05850532":16,"058585":[],"058596":[],"058715":[],"058740":[],"058816":[],"05883":[],"05884":[],"058890":[],"058948":[],"058955":[],"058957":[],"058974":[],"059013":[],"059180":[],"059272":[],"059278":[],"059294":[],"059378":[],"059437":[],"059601":[],"059783":[],"059795":[],"059824":[],"059933":[],"05999":[],"06":[6,13],"060016":[],"060080":[],"060146":[],"060183":[],"06020587":6,"06021285":[],"060213":[],"060228":[],"060288":[],"060309":[],"060349":[],"06043581":6,"060502":[],"060507":[],"060550":[],"060649":[],"060655":[],"060781":[],"060841":[],"060875":[],"060963":[],"061025":[],"061028":[],"061048":[],"061144":[],"061149":[],"061188":5,"061297":[],"061308":5,"061321":[],"061390":[],"061505":[],"061509":[],"061538":[],"061604":5,"06160438":[],"061646":[],"061685":[],"061701":[],"061716":[],"061725":[],"061745":[],"061765":[],"061821":[],"061898":[],"061917":[],"061923":[],"06200174":5,"062061":[],"062062":[],"062064":[],"06208238634231944":[],"062082386342319454":6,"06208238634231953":[],"062089":5,"062097":[],"062136":[],"062142":[],"062195":[],"062292565":4,"062294":[],"062305":[],"062391":[],"062409":[],"062411":[],"062435":[],"062451":[],"062498":[],"062517":[],"062534":[],"062551":[],"062563":[],"062640":[],"062665":[],"062676":[],"062706":[],"062719":11,"062773":[],"062777":5,"062827":[],"062834":[],"062874":[],"062881":[],"062884":[],"062888":[],"062983":[],"063014":[],"063024":[],"063052":[],"063078":[],"063084":11,"063125":[],"063173":[],"063192":[],"06319374":16,"063241":[],"063250":[],"063287":[],"063343":[],"063364":[],"063371":[],"063375":[],"063401":[],"063493":[],"063513":[],"063524":11,"063612":[],"063619":[],"063631":[],"063657":[],"063752":[],"063781":[],"063851":[],"063857":[],"063872":[],"063874":[],"06388888888888888":[],"063977":[],"063979":[],"064041":11,"064052":[],"064062":[],"064108":[],"064110":[],"064184":[],"064274":[],"064329":[],"064384":[],"064388":[],"064431":[],"06444":[],"064442":[],"064459":[],"064461":[],"064469":[],"064483":[],"06453579006728315":[],"06453579006728322":6,"064538":[],"064573":[],"064604":[],"064609":[],"064618":[],"064623":[],"064634":[],"064637":11,"064648":[],"064658":[],"064681":[],"064787":5,"064838":[],"064859":[],"064880":[],"064896":[],"06491736":6,"064918":[],"064931":[],"064937":[],"064964":[],"06497046":[],"065020":[],"065032":[],"065106":[],"065110":[],"065168":[],"065183":[],"065228":5,"065249":[],"065252":[],"065282":[],"065314":[],"065348":[],"06547790180152352":6,"06547790180152353":[],"06547790180152355":6,"06547790180152357":[],"06547790180152363":[],"065514":[],"065537":[],"065557":[],"065575":[],"065641":[],"065657":[],"065680":[],"065730":[],"065761":5,"065796":[],"065826":[],"065846":[],"065869":[],"065892":[],"065942":[],"065974":[],"065983":5,"06602663":[],"066051":[],"066056":[],"066064":[],"066093":[],"066110":[],"066194":[],"066220":[],"066223":[],"066228":[],"066241":[],"066309":[],"066340":[],"066348":[],"066356":[],"06637":[],"066388":5,"066449":[],"066528":[],"066553":[],"066558":[],"066580":[],"066590":[],"066609":[],"066651":[],"066654":[],"066670":[],"066675":[],"0666807":2,"066714":[],"066729":[],"066741":[],"066753":[],"066789":[],"066808":5,"066828":[],"066837":11,"066850":[],"066870":[],"066873":[],"066919":[],"066934":[],"06695337":16,"066954":[],"067011":[],"067079":[],"067110":5,"067141":[],"067162":[],"067191":[],"067213":[],"067236":[],"067240":[],"06724062":5,"067282":[],"067392":[],"067402":[],"067432":[],"067437":[],"067443":5,"067449":[],"067484":[],"067499":5,"067506":[],"067525":[],"067527":[],"067544":[],"067547":5,"067560":[],"067585":[],"067597":[],"067599":[],"067612":[],"067615":[],"067620":[],"067622":[],"067675":[],"067693":[],"067709":5,"067710":[],"067712":5,"067714":[],"067719":11,"067720":[],"067723":[],"067767":[],"067769":[],"067775":[],"067787":[],"067854":[],"067856":[],"067864":[],"06786925114666595":5,"067907":5,"067908":[],"067934":[],"067956":[],"068019":[],"068059":[],"068075":5,"068087":[],"068093":[],"068094":[],"068098":[],"068103":[],"068104":[],"068110":[],"068120":[],"068136":[],"068197":[],"068210":[],"068261":[],"068318":[],"068345":[],"068358":[],"068363":[],"068376":[],"068391":[],"068417":[],"06844519414009438":[],"06844519414009442":[],"06844519414009444":6,"06844519414009445":6,"068461":[],"068500":[],"068505":[],"068525":11,"068538":[],"068573":[],"06858699":[],"068593":[],"068608":[],"068619":[],"068642":[],"068654":[],"068659":[],"068664":[],"068689":5,"068724":[],"068735":[],"068799":11,"068806":[],"068809":[],"068831":[],"068852":[],"068920":[],"068937":[],"068953":[],"068965":[],"068991":[],"068992":[],"069010":[],"069015":[],"069036":[],"069044":[],"069065":5,"069085":[],"069091":[],"069181":[],"069231":[],"069275":[],"069276":[],"069281":[],"069285":[],"069355":11,"069386":[],"069408":[],"069409":[],"069421":[],"06942103":[],"069436":[],"069441":[],"069454":[],"069455":[],"069465":11,"069475":11,"069476":[],"069494":[],"069534":5,"069578":[],"069584":[],"069626":[],"069651":[],"069654":[],"069667":[],"069672":[],"069681":5,"069685":[],"06969872":16,"069748":[],"069754":[],"069796":[],"069801":5,"069838":[],"069847":[],"069877":[],"069884":[],"069888":[],"069903":[],"069907":[],"069912":[],"069977":5,"06it":[],"07":6,"070018":[],"070028":[],"070034":[],"070043":[],"070056":5,"070071":[],"070074":[],"070105":[],"070150":[],"07016":[],"070163":[],"07017":[],"070216":11,"070222":11,"070276":[],"070288":5,"070339":[],"070343":[],"070370":5,"070379":[],"07039":[],"070419":[],"070428":11,"070429":[],"070443":5,"070453":[],"070466":5,"070491":[],"070492":[],"070518":[],"070562":[],"070576":[],"070585":[],"070612":[],"070618":5,"07062318":6,"070630":[],"070635":[],"070775":[],"070810":11,"070835":[],"070860":[],"070871":[],"070874":[],"070887":5,"070889":11,"070911":[],"070950":[],"070959":[],"070961":5,"070972":[],"07099747918547346":[],"071003":[],"071009":[],"071022":[],"071044":11,"071086":[],"071106":5,"071112":[],"071115":11,"071120":[],"071136":[],"07115":[],"071239":[],"071243":[],"07129539":[],"0712953943627344":[],"0713":0,"071326":[],"071329":11,"071387":[],"071388":5,"071421":11,"071441":[],"071445":5,"07145103":11,"071460":5,"071467":[],"071476":[],"071480":[],"0714956":[],"071505":5,"071510":5,"071515":[],"071523":11,"071529":[],"071547":[],"071552":[],"071569":[],"071585":11,"07160048164232467":[],"07160048164232538":6,"0716004816423254":6,"07160048164248561":[],"071604":[],"071614":[],"071632":[],"071641":[],"071666":5,"071698":[],"071705":[],"071741":[],"071767":[],"071804":5,"071836":[],"071852":[],"071897":11,"071901":[],"071906":[],"071908":5,"071921":[],"071922":5,"071935":[],"071946":11,"071949":[],"071991":5,"072008":[],"072011":[],"07201957":[],"072021":[],"072041":[],"072084":[],"072091":[],"07212695":[],"072127":[],"072145":[],"072147":[],"072184":[],"072198":[],"072216":[],"072222":[],"072240":5,"072242":[],"072290":[],"072342":[],"072348":[],"072352":[],"072361":[],"072364":11,"072370":[],"072435":[],"072442":[],"072452":11,"072471":[],"072483":[],"072492":[],"072521":[],"072523":[],"072529":[],"072530":11,"072554":[],"072558":[],"072569":[],"072575":[],"072597":[],"072598":[],"072611":[],"072617":[],"072620":[],"072647":11,"072651":[],"072652":[],"072750":[],"072751":[],"072783":11,"072798":[],"072813":11,"072824":[],"072828":[],"072839":[],"07285":3,"0728785":[],"072898":[],"07291729":[],"072918":[],"072928":[],"072955":5,"072958":[],"072970":[],"072974":[],"072994":[],"073013":[],"073016":[],"073045":[],"073052":[],"073062":[],"073080":5,"073105":[],"073120":[],"073134":5,"073136":[],"073183":11,"07319349":16,"073206":[],"073225":[],"073230":[],"073238":[],"073280":[],"073303":[],"073320":[],"073362":[],"073368":[],"073369":[],"073380":[],"073391":[],"073400":5,"073423":[],"073433":11,"073436":[],"073449":[],"07345504":[],"073489":[],"073506":[],"073531":[],"073548":[],"073575":[],"073583":[],"073597":5,"073598":11,"073601":5,"073629":[],"073647":[],"073668":[],"073695":[],"073699":[],"073719":[],"073761":[],"073768":11,"073777":[],"073810":[],"073811":11,"073816":[],"073827":[],"073904":11,"073907":[],"073925":[],"073938":5,"073949":[],"073959":[],"074006":5,"074019":11,"074034":[],"074050":11,"074067":11,"074111":[],"07413172":[],"074144":11,"074149":[],"07421084":5,"074237":[],"074276":[],"074336":[],"074346":[],"074375":[],"074401":[],"074418":5,"074420":5,"074480":[],"074488":[],"074513":[],"074530":[],"074552":[],"07456491":5,"074569":[],"074573":[],"074592":[],"074666":[],"074684":[],"074693":[],"074708":[],"074715":[],"074743":[],"074760":11,"074763":[],"074773":[],"074833":[],"074838":[],"074839":[],"074845":5,"074881":[],"074905":[],"07490892":6,"074922":11,"074945":[],"074969":11,"074980":[],"074986":[],"074992":[],"075012":[],"075017":[],"075043":5,"075058":[],"075061":[],"075102":11,"075136":[],"075138":[],"075145":11,"075149":5,"075181":[],"075188":[],"075192":[],"075195":[],"075201":11,"075222":11,"075228":[],"075241":[],"075262":[],"075302":[],"07532297":18,"075335":[],"075356":[],"07535606":[],"075389":[],"075433":[],"075498":5,"075573":[],"075586":[],"075594":[],"075612":11,"075618":[],"075629":[],"075728":[],"075760":[],"075770":[5,11],"075797":11,"075820":[],"075840":[],"075899":[],"075959":[],"075987":11,"076022":5,"076055":[],"076066":5,"076079":5,"076096":[],"076097":5,"076121":[],"076130":[],"076173":[],"076204":[],"076216":[],"076248":[],"076264":5,"076270":[],"076282":[],"076306":11,"076315":5,"076329":[],"076338":[],"076349":5,"076389":[],"0764924":6,"076518":11,"076525":[],"076532":[],"07656896":[],"076588":[],"076589":[],"076604":[],"076628":[],"076632":11,"076637":[],"076665":[],"076697":[],"076726":[],"076729":5,"076760":[],"07678":[],"076780":[],"076783":[],"076795":[],"076804":[],"076821":[],"076843":[],"076862":[],"076866":[],"076886":11,"076895":[],"076905":[],"076927":11,"076938":11,"076942":[],"076955":[],"076958":[],"076990":[],"077003":[],"077009":[],"077013":[],"077015":[],"077022":[],"077033":11,"077062":[],"077083":[],"077108":[],"077131":[],"077140":5,"077144":5,"077158":[],"077164":[],"077200":5,"077203":11,"077211":[],"077219":5,"077228":[],"077291":[],"077338":[],"077349":[],"07735703":[],"077359":[],"077372":11,"077375":[],"077402":[],"077419":[],"077425":[],"077452":[],"077467":[],"077499":[],"077511":11,"077607":[],"077620":[],"077644":5,"077706":[],"077711":[],"077724":[],"07777777777777778":1,"077785":[],"077793":[],"077822":[],"077846":11,"077921":[],"077930":11,"077948":[],"077978":[],"077986":5,"078040":[],"078042":[],"078101":[],"078143":5,"078157":[],"078167":[],"0782":[],"07820":[],"078211":11,"078253":[],"078254":[],"078269":[],"078299":[],"078300":11,"078314":11,"078323":11,"078432":[],"078436":[],"07844310540708652":[],"078508":[],"078542":5,"078548":[],"078609":[],"07864":[],"078646":[],"078651":[],"078667":[],"078672":[],"078697":[],"078704":[],"07871":[],"078710":[],"078719":[],"078725":[],"078749":[],"078768":11,"078771":[],"078776":[],"07878641":[],"078795":[],"078812":[],"078845":[],"078860":[],"078899":[],"078908":5,"078911":[],"078942":[],"078962":5,"07897647347778382":[],"07898165660100093":[],"078992":[],"078999":[],"079001":11,"07903849":[],"079056":[],"079110":[],"079142":[],"079157":[],"079158":[],"079179":[],"079214":[],"079218":11,"079225":[],"079242":[],"079260":[],"079264":5,"079268":[],"079273":[],"079278":[],"079281":[],"079306":11,"079347":[],"079383":11,"079389":[],"079405":[],"079406":[],"079424":5,"079438":5,"07944154":16,"079443":[],"079447":[],"079476":11,"079483":[],"079486":5,"079489":[],"079493":[],"079495":[],"079553":5,"079558":[],"079609":[],"079618":11,"079622":11,"079631":[],"079676":[],"07968918676726029":[],"0796891867672603":6,"079719":[],"079729":[],"079741":[],"079819":[],"079823":5,"079839":[],"079847":[],"079882":5,"079893":[],"07989327":[],"079901":[],"079991":[],"07999999999998":[],"07e":17,"08":[13,18],"080026":11,"080056":[],"080106":[],"080137":[],"080200":[],"080256":[],"080288":[],"080297":[],"080312":[],"080319":[],"080332":[],"080334":[],"080343":11,"080347":[],"080370":[],"080406":[],"080407":[],"080410":[],"08041015":[],"08043851":5,"080455":[],"080479":[],"080502":[],"080517":[],"080555":[],"080571":11,"080582":[],"080588":5,"080593":[],"080630":[],"080642":11,"080647":[],"080699":11,"080706":[],"080738":[],"080764":11,"080801":[],"080821":[],"080847":[],"08085812":[],"080916":[],"080922":[],"080973":[],"080984":5,"080998":11,"081022":11,"081046":[],"081072":[],"081140":[],"081144":[],"081163":[],"081198":[],"081211":[],"081216":11,"081233":[],"081253":[],"081262":[],"08131003":6,"081311":[],"081321":[],"081334":[],"081343":[],"081357":5,"081388":[],"081396":[],"081431":[],"081468":[],"081483":[],"081503":[],"081520":[],"081533":[],"081540":[],"081547":[],"08156108":6,"081576":[],"081613":[],"081637":[],"081707":[],"081773":[],"081832":5,"081837":[],"081848":[],"08188077":[],"081881":[],"081932":[],"081953":[],"081989":11,"081990":11,"082014":[],"082027":5,"082122":[],"082174":[],"082183":[],"082189":[],"082204":[],"082267":[],"082286":[],"082288":5,"082295":[],"0823185":[],"082339":11,"082424":5,"082426":[],"082431":11,"082451":[],"082503":[],"08251519":6,"082536":[],"082620":[],"082642":11,"082683":[],"08271198519070039":11,"082716":[],"082786":[],"082846":[],"082852":[],"082874":[],"082896":[],"082900":[],"082921":[],"082939":[],"082990":5,"08299273e":6,"083000":[],"083015":[],"083021":11,"083026":[],"083053":[],"083087":[],"083151":[],"083152":[],"08318298e":1,"083217":[],"083220":[],"08322642264994606":[],"083227":[],"083242":[],"083251":[],"083272":[],"083276":[],"08328216846752691":[],"083300":[],"083320":[],"08333333333333333":1,"083361":[],"08336233266":4,"083399":[],"083404":[],"083417":5,"08343519179767796":[],"083441":[],"083495":[],"083506":[],"083527":[],"08356774001062162":[],"083573":[],"083579":[],"083600":[],"083629":11,"083648":[],"083681":[],"083692":[],"083694":[],"08376632":6,"083766322923899":6,"0837663229239016":[],"0837663229239025":[],"0837663229239043":6,"083799":[],"083829":[],"083832":[],"083849":[],"083899":[],"083913":[],"083935":[],"083977":[],"084000":[],"084006":5,"084008":5,"084017":[],"084018":[],"084019":[],"084024":[],"084032":[],"084092":5,"084096":[],"084101":[],"084147":[],"084151":[],"084184":[],"084223":[],"084224":[],"084226":[],"08426840630693411":[],"08426840630693412":6,"08426840630693413":6,"084269":11,"084277":[],"084278":[],"08428156":[],"084282":[],"084364":[],"084391":[],"084400":[],"084408":[],"084414":[],"084426":11,"084434":[],"084444":[],"084476":[],"084477":[],"084484":[],"084536":[],"084549":[],"08455":[],"084570":[],"084604":[],"084629":[],"084645":[],"08464758160254343":[],"084657":[],"084670":[],"084682":5,"084683":[],"084702":[],"084728":[],"08474":[],"084777":[],"084846":[],"084862":[],"084904":[],"084909":[],"084912":[],"084920":[],"084927":11,"084936":[],"084965":[],"084979":[],"085010":11,"085018":[],"085027":[],"085044":[],"085105":5,"085113":[],"085163":[],"085165":[],"085167":[],"085184":[],"085185":[],"085224":[],"085249":[],"085264":[],"085345":[],"085361":[],"085368":[],"085405":[],"085410":11,"085416":[],"08551306":6,"085764":[],"08576932":6,"085776":5,"085879":[],"08593216":6,"085936":[],"086021":11,"086074":[],"086076":[],"086109":11,"08611111111111111":1,"086112":[],"08612280083325631":[],"086154":[],"086174":[],"086178":[],"086203":[],"086249":[],"086250":5,"086257":11,"086262":[],"086303":[],"08630331":[],"086322":[],"086409":[],"086420":[],"086518":[],"086567":[],"086608":[],"086610":[],"086665":5,"086679":[],"086705":[],"08673755293381497":[],"086802":[],"086807":[],"086809":[],"086841":[],"086872":[],"086877":[],"086888":[],"086890":[],"08690":[],"086951":[],"086956":[],"086994":[],"086997":11,"087081":[],"087208":[],"087224":[],"087235":[],"087372":[],"087387":[],"087470":11,"087501":[],"087573":5,"08758":[],"08759":[],"087615":11,"087689":[],"087833":[],"087834":[],"087891":[],"087894":[],"087910":[],"088029":[],"088104":11,"088119":[],"08816688":[],"088176":[],"0881981":5,"088212":[],"088261":[],"088271":[],"088460":[],"088476":[],"088519":[],"088526":[],"088560":[],"088606":[],"088611":[],"088631":[],"08871404":5,"088758":5,"088760":11,"088765":[],"088809":[],"088816":[],"088825":[],"088853":[],"08888888888888889":1,"088926":[],"088946":[],"08902":[],"089041":[],"089059":[],"08917679":[],"089177":[],"08918584":18,"089206":[],"089212":[],"089233":11,"089246":[],"089306":[],"089310":11,"089329":[],"089355":[],"089369":[],"089374":[],"089425":[],"089501":[],"089505":[],"089524":[],"089551":[],"089614":[],"089683":[],"0896981":[],"089758":[],"089775":[],"08996":[],"089982":11,"09":1,"090014704675496":[],"090028":[],"090039":[],"090128":[],"090174":[],"090229":[],"09023660662586945":[],"090270":[],"090337":[],"090349":5,"09034902":5,"0903549":6,"090356":[],"090358":[],"090451":[],"090503":[],"090630":[],"090649":5,"090694":[],"090730":[],"090755":[],"090830":[],"09083636328656121":18,"090849":[],"09085624":[],"090929":[],"091031":[],"091051":[],"091060":[],"09117221":[],"091224":[],"091236":[],"091266":[],"091311":[],"091315":[],"091340":[],"091349":[],"091363":[],"091414":[],"091416":[],"091426":[],"091440":[],"091477":[],"09149881":[],"091620":[],"091630":[],"09166666666666666":1,"091696":[],"0917":9,"09170751":[],"09172408":[],"09172409":6,"091891":[],"092066":[],"092126":[],"09216046":[],"092249":11,"0923":[],"092409":[],"09251":[],"09252364":[],"092524":[],"092621":[],"092769":[],"092879":[],"09297039":[],"092998":[],"093078":[],"093247":[],"0934597075922044":[],"093497":[],"093593":[],"093624":[],"0938":[],"093844":[],"093930":[],"093979":[],"094082198961999e":6,"0940821989624095e":[],"0940821989643363e":6,"094082198966615e":[],"0940821989673748e":[],"094362":[],"09440475":[],"094404754965417":[],"09444444444444444":1,"094472507965532":[],"094477":[],"094619":[],"094657":[],"094722":[],"094848":[],"094867":[],"094925":11,"095171":[],"095184":[],"095313":[],"095510":[],"095522":[],"095617":[],"095702":[],"095871":[],"095902":[],"095935":[],"09609807":5,"096173":[],"096472":[],"096516":[],"096623":[],"09672929714683368":[],"09677394":[],"096893":[],"096894":[],"097":6,"097360":[],"097396":[],"09744":[],"09744272":[],"097602":[],"097634":[],"097710":[],"09780":[],"09791":[],"098135":[],"09849763":[],"098498":[],"09856879":[],"09861229":16,"098802859381565":[],"099":[],"09903804":8,"0991919894927399":[],"09919198949274803":6,"099191989493334":[],"09951287404314545":1,"099648":11,"09964817":11,"099777":[],"0n":0,"0s":[],"0x11da42d90":[],"0x11e031e50":[],"0x128ee8850":13,"0x12946f2e0":13,"0x7fad10f9a280":[],"0x7fad20f69be0":[],"0x7fd098df3280":[],"0x7fd0a9063be0":[],"1":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18,19,20],"10":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],"100":[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16,18,19],"1000":[0,1,2,4,5,8,11,13,14,15,18],"10000":[2,5,6,10,11,18],"100000":8,"10001":10,"1001":18,"1002":18,"1003":18,"10030":[],"100303":[],"100358":[],"10044225464078282":[],"1005":18,"100670":[],"10077114273548984":6,"1009":18,"1011":18,"1013":18,"1013904243":18,"10141413e":6,"1015":18,"102":[],"1022233262115424":[],"10222333":[],"1023":18,"10230":[],"1023111":[],"1023858":18,"1024":3,"102401":[],"102449":[],"1026":18,"1027":18,"1028":[],"103":1,"1030":18,"10302062":[],"103257":[],"10340":[],"1037":18,"10378326e":1,"1038":18,"103822":[],"10391807":6,"10398646080125035":[],"10398646080125036":6,"10398646080125037":6,"1040":18,"10405456":11,"10430":[],"104411":[],"10455924":[],"1047":18,"10505137":[],"105161":[],"105169":[],"10516924":[],"10520":[],"10555555555555556":1,"1056":[],"10589577":5,"106":[],"106095":11,"10620135":[],"107":6,"108":6,"108359":5,"10835935":5,"109":[],"10913":6,"10931453":6,"10960":[],"1096767776832326":[],"10967678":[],"10th":9,"10x":0,"11":[0,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,20],"110":[],"1100":18,"1101":18,"11022302e":[],"11046771":[],"111":[1,7,12],"11100":[],"1122558214":[],"112319":[],"11231934":[],"112383":11,"1124":[],"1125":[],"11283168":[],"11297834":[],"1136":[],"11362930e":[],"11388888888888889":1,"1139":[],"11390":[],"114":[],"11402309":[],"114437":[],"11462415":5,"11481199":18,"11482289e":6,"11499517":[],"11507992e":1,"11547777218875695":[],"11547777218875696":[],"11547777218876518":6,"11547777218940905":[],"11547777218940906":[],"115822":6,"11590":[],"11598862":[],"11598862273198":[],"11604844":[],"116048442683864":[],"11660":[],"11666666666666667":1,"11674401539815678":[],"117":8,"11744554e":6,"11780":[],"11790868":[],"117986":[],"118":2,"1182":[],"1183":[],"118318":[],"1184":[],"11840":[],"1185":[],"11850274":13,"1186":[],"11890":[],"119":2,"119625":[],"11962537":[],"1199":[],"119936":2,"119999999999976":[],"11it":[],"12":[0,1,2,3,4,5,6,8,9,11,12,13,16,18,20],"120":[2,3],"1203":[],"1203284":8,"1206":8,"12069773":[],"121":[8,9,10],"12152272":16,"12167821":5,"12182967":6,"12196674":[],"122":[2,8,9,10],"12222222222222222":1,"122439":[],"1224392":[],"12288563":[],"122886":[],"123":2,"12318726e":6,"12330280229368":5,"12333649":6,"12345260617257443":[],"123459876":[],"123711":6,"12380":[],"124":0,"12400":[],"125":[],"1250":[],"125000":[],"12552073e":6,"126":[],"1261":[],"12618549":5,"12630042":16,"1265":[],"127":4,"1270":[],"127043":[],"1271":6,"1277":6,"127773":[],"12777777777777777":1,"12788968":[],"12790":[],"128":[3,4,13],"128664":6,"12898627064868978":[],"129":2,"12937662":[],"12945452":[],"1297":[],"1297300314822336":18,"1298":9,"12adb44b1c20":[],"12m":[],"13":[0,2,5,6,9,11,12,13,16,18],"130":[],"13003291":6,"13055555555555556":1,"131":[],"13117061":[],"13131825":16,"1314":[],"132":[],"13220608e":6,"13229545716505003":[],"132360":[],"1323603":[],"1326":[],"13280":[],"133":7,"13333333333333333":[],"135":[],"13519106":[],"13535942":6,"136":[],"1360":[],"13609760e":[],"1361":[],"1362":[],"1363":[],"1364":[],"13646574":5,"13655438":13,"13661243e":6,"13679863":6,"1371":6,"13734823":16,"13740":[],"137400784702911":[],"137652":11,"1378":[],"1382":[],"1383":[],"1384":[],"1385":[],"1386":[],"13865173":5,"13876586436927824":[],"138775":11,"1388888888888889":1,"13890":[],"1392559581788775e":[],"1392559584983597e":[],"1392559585048734e":6,"1392559591206444e":6,"13925595925919e":[],"14":[0,2,4,5,6,8,9,10,11,12,13,16,18,20],"140":2,"14021063":6,"1404":[],"14042769":[],"140428":[],"141":2,"14100":[],"1416398":6,"14174745":6,"1418":[],"142":[],"14231548":18,"14250":[],"142857":[],"14298603":18,"143":[2,7],"1435666":[],"14360598":[],"1437":1,"144":[],"14400":[],"1440501043841336":1,"14440":[],"14451625":[],"1446729567":4,"14484695":[],"145":2,"1457774":18,"146":2,"147":[],"14710":[],"1472032":16,"14722222222222223":1,"147400":11,"14741468":[],"147420":11,"14783702":[],"1479":[],"148":[],"14812206":6,"14818":[],"1484256":[],"148564":[],"14859":6,"148768":[],"149":[],"149213":[],"14932651":[],"14988578":[],"149886":[],"14995486":[],"149955":[],"14g":6,"14it":[],"15":[0,2,4,6,7,8,9,12,13,16,18],"150":[4,8],"15005476":5,"150184":6,"15089627":16,"150920":11,"15092012":11,"15098090e":6,"151":[],"15130074e":6,"151348":6,"151986":[],"152":[],"15200":[],"15258907":[],"152696":[],"15269628":[],"1527777777777778":1,"153036":[],"153106":[],"1533795":[],"153760":[],"15384615384616":[],"154":[],"15410688":11,"154107":11,"15442554":16,"15454301":[],"154720":[],"15483121":[],"154911":[],"155":[],"155491":[],"155687":[],"155883":[],"156":[],"1562":[],"15629539":[],"15680777":[],"156956":5,"157":[],"15717291":[],"1575":[],"158":[],"1583767":[],"15843769515580663":[],"1586300629904382":[],"1587":[],"15891336":[],"159":[],"1590":[],"15990":[],"15g":6,"15it":[],"16":[1,2,3,4,5,6,8,9,10,18],"160":[],"1603":3,"1604":[],"1605":[],"160539":[],"1606":[],"1607":[],"16111111111111112":1,"1612":[],"1614891":16,"16211139":5,"16220":[],"162246":5,"16231451":4,"1625":[],"1628":[],"163":[],"1630775253":1,"16342407":5,"16343471":6,"16384":3,"16500":[],"166":[],"16660817":[],"166667":[],"167":[],"16740002":[],"167787":5,"168":[],"168044":[],"16804444":[],"16805821e":6,"16807":[],"16827044":[],"16832385":[],"16961682":13,"16b8e3cda33a":[],"17":[1,2,5,6,8,18],"17084902":[],"1709":[],"17174962e":1,"17222222222222222":1,"172405":[],"17240522":[],"1726":[],"17300":[],"1731":[],"17339342":[],"17446471":6,"1752":[],"175300":[],"17641709":6,"17647619":6,"176880142835407":[],"17709473":16,"17777777777777778":1,"17801022":5,"17861098":6,"17897671":18,"17917768":5,"17930649":[],"17949575":5,"17953942":11,"1797":[1,3],"18":[2,6,7,8,9,10,13,18],"180":[],"18029127":5,"1807":4,"1809":[],"181":[],"1810":[],"1812":[],"18156717":[],"18166474":18,"1821":[],"18276924":[],"18327677":[],"18333333333333332":1,"18393678":[],"184":[],"184519":[],"184895":[],"185":[],"1851":[],"1852":[],"18526":[],"185278747229417":[],"1853":[],"1854":[],"1855":[],"186":[],"1860":[],"1861":[],"18611111111111112":1,"18613217e":6,"18660":[],"18673098":11,"18682538":[],"18695705":16,"18790439176058887":9,"18826299":[],"188263":[],"1887":6,"18912963":[],"189496":[],"189622":[],"18998208":18,"18it":[],"19":[2,6,13,18],"19003":6,"19096968":[],"190970":[],"191262820314401":[],"19144544":16,"19158446":16,"19166666666666668":1,"19207979":5,"19213479":[],"19220":[],"193":[],"19354258":[],"19379506":[],"19394283":[],"194":[],"1940":0,"19404282648955e":[],"194042826653172e":[],"194042826815498e":[],"1940428268204826e":6,"194042827197027e":6,"1943":12,"194325":5,"19432526":5,"1944":[],"19444444444444445":[],"19466812":[],"1950915150":[],"1954":[],"1956":[],"19569961":6,"1961":[],"1962":[],"1963":[],"1964":[],"1965":[],"1970":16,"197104":5,"19710439":5,"1973":9,"197370":11,"19740":[],"197738983259782":11,"1979":6,"19800":[],"19853775e":[],"1989":[],"199":[],"19937":[],"19983530":6,"19994371":[],"1_1":12,"1_2":12,"1_3":12,"1cm":[0,8,10,18],"1d":[1,2,3],"1e":[1,2,4,14],"1e10":14,"1e4":6,"1f":1,"1k":16,"1n":0,"1s":[],"1x":0,"2":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],"20":[0,1,2,6,7,8,13,18],"200":[0,2,3,4,8,9,10],"2000":0,"200000":[],"20015436":6,"2004":13,"2006":20,"2010":1,"2011":1,"2014":4,"2015":1,"2016":0,"20174121":[],"2018":[0,6],"2018906331":[],"2019":[],"2021":[6,14],"2022":17,"2027":[],"20277777777777778":1,"20299677":16,"203":[],"20316225":16,"20320502":[],"20375361":[],"203753611274545":[],"20500":[],"20509391":[],"206":[],"2060":[],"20609082":[],"206091":[],"20661216":[],"206640":[],"20664007":[],"2069":[],"207545":11,"20756638":[],"20833333333333334":1,"20867052175003364":6,"20867052175006306":[],"20867052175109335":[],"20980":[],"21":[0,1,2,5,6,7,9,12,13,16],"210151":[],"2101511":[],"210340":11,"21058097":5,"21130":[],"2116753732":4,"21169159e":6,"21265216":[],"213":[],"213103":11,"213743":11,"21472683":[],"2147483647":[],"21519063":[],"21596432":6,"216290":11,"21654926":16,"216683":11,"21786964":[],"2188":[],"21919813":[],"219249":[],"21924917":[],"21944444444444444":[],"2195":[],"21985165":[],"21997099":[],"22":[0,1,2,5,6,12,13,16],"22014758":11,"220148":11,"22044605e":5,"220506557673408":[],"22094791":[],"221":8,"221180":[],"22134069":[],"2216":[],"2218":[],"221805":2,"221921":5,"222400":[],"2225":[],"2246674023625205":16,"225":4,"22567203":16,"2259440937":[],"226124657522696":[],"22612466":[],"226856":[],"22685646":[],"22690428":5,"22821344":16,"2284246870217162":6,"2284246870217459":[],"22842468702288576":[],"22842468702288582":[],"22847924":5,"22929905e":[],"2299":[],"22it":[],"23":[1,2,3,4,6,7,12,13,14,16],"23002365e":6,"23014274e":[],"231":[],"23103285":[],"231224729143838":[],"2315033":[],"23167717":5,"23168292":[],"231683":[],"2321528":[],"232153":[],"232435":[],"23297056":[],"23333333333333334":1,"233528":[],"234":6,"23408962e":5,"23483916":18,"23522201":[],"2357089093":[],"2360682191515046":[],"2361111111111111":[],"2364":[],"23659936":16,"237038":[],"23703839":[],"2379":6,"23792491":[],"237925":[],"23816792":[],"238168":[],"238574":5,"23857423":5,"23962594":16,"2397":[],"24":[0,1,2,3,4,6,13,14,16],"240670854503034":11,"24140":[],"2416":[],"24175744e":6,"2419":[],"24276315":[],"2430":[],"24390":[],"24444444444444444":1,"244858":[],"24485843":[],"24512498":[],"246":2,"2470":[],"2476536":[],"247654":[],"24770094":[],"24829908":5,"24906604e":6,"24924624":[],"249302":11,"2493023":11,"2495":[],"25":[0,2,3,4,5,6,7,8,9,11,13,18],"250":[2,4,7,9],"2500":[],"25000":0,"250000":[],"250154":[],"2517560119":[],"251879":[],"252436":[],"25259666":[],"2526":[],"252866":[],"25286618":[],"253775":[],"255":3,"255001":[],"256":[2,4],"25617654e":6,"25617657e":[],"25617658e":6,"256962":[],"257":[],"2572":[],"2572495066":[],"2572e3a4b38d":[],"2575":[],"25792767":[],"25845e8df859":[],"25902112":16,"259153":11,"2597":[],"25976336":[],"26":[2,3,4,6,13,14,16,18],"26079358":[],"26115367":11,"261154":11,"26153846153846":[],"26185107":16,"26186844":[],"2619":[],"26290036":[],"26291585":[],"262916":[],"26294938":[],"2629493813057833":[],"26301436":5,"26306244":[],"264":[],"26409315307910025":6,"2640931530791003":[],"26409315307910036":6,"2640931530791005":[],"26409315307910053":[],"264666":11,"26466619":11,"265":[],"2650":[],"265109911":4,"26531223e":[],"2654":[],"26549135":16,"266":[],"26610075":[],"26666667":13,"26710969":5,"26780278":5,"268":[],"268227":[],"26822717":[],"268484":[],"26848435":[],"269":[],"27":[0,1,2,3,4,6,13,14],"270":[],"2703":[],"27050214":18,"27091656":5,"270917":5,"27092897":[],"27092910":6,"2750":[],"275341":[],"27562809e":[],"27621662e":[],"276263":11,"27692307692308":[],"27700":[],"2772":[],"2775623201":[],"27760":[],"278036":[],"27803645":[],"27924636":5,"27n_":18,"28":[1,2,3,4,6,13,14],"28001319":[],"28047021":[],"280573":5,"280647":11,"28065343":18,"28067036":[],"28097861":[],"280979":[],"2812":[],"282727":11,"283":[],"2830637392":4,"28336218e":6,"2836":[],"28390":[],"28475098":8,"28590743":[],"2861":18,"28634473":[],"286345":[],"2871":[],"2873":9,"2882":18,"2886":18,"2886847885377843":[],"28868479":[],"28875373":[],"2890":0,"2892":18,"28967287":[],"29":[3,4,6,7,14],"29082851":[],"290829":[],"29083183":5,"290832":5,"29149329":[],"2915":18,"29167186":5,"29229741":[],"2923076923077":[],"29276615":16,"294277":[],"2942772":[],"29512284":[],"295123":[],"2954":[],"2955":[],"2956":[],"2957":[],"2958":[],"29588901":[],"29592539":[],"296247":[],"29661191":16,"297":[],"2971492148":[],"2972":[],"29822833":6,"298273":[],"298375":[],"298836":[],"29883607":[],"299267190588216":[],"299748":[],"2_":12,"2_1":12,"2_2":12,"2_3":12,"2_i":12,"2_m":[6,18],"2_t":13,"2_x":18,"2b":18,"2cm":8,"2d":[1,3,11,12,15],"2e":6,"2f":[0,7,9,10,11,12],"2ff97f4bf03b":[],"2g":2,"2g_i":2,"2k":3,"2m":6,"2n":[0,2,3],"2nd":9,"2p":18,"2pt":4,"2s":[],"2x":[0,3,8,13],"2x_ix_jy_iy_j":8,"2x_j":8,"2y_i":10,"2y_j":8,"3":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19],"30":[0,1,3,4,6,7,10,13,14],"30000":0,"30010":[],"30119421":8,"301475":[],"3014751":[],"3017":[],"3018":[],"3019":[],"301927":[],"3020":[],"3021":[],"30258509":16,"302m":[],"303":6,"3037":[],"3038":[],"30384239":[],"3039":[],"303m":[],"3040":[],"3041":[],"30466214e":6,"304m":[],"305":0,"30535506":[],"30552077":[],"30559547":[],"305m":[],"306":0,"3063":[],"306m":[],"307":0,"3072":3,"30761405e":[],"30787294":6,"3079975":18,"307m":[],"308":0,"30813073":16,"30839676":18,"30891693":[],"308917":[],"308m":[],"309":0,"30936179":[],"309362":[],"30940":[],"30b53504a633":[],"31":[3,4,6,12,14,16,18],"310":0,"311":0,"31120247":[],"311m":[],"312":[],"3120271598582915":[],"31211671":16,"31229747":16,"3123314713548606":6,"31276579e":6,"312m":[],"313":[],"31311243":16,"31318084":5,"31377492":16,"314":[],"31424359":[],"314244":[],"31447174":13,"31457796":5,"315":6,"3155":[0,5,6],"315746":[],"31574634":[],"315977":[],"31597731":[],"316":[],"31605061":[],"31614188e":[],"31644071":[],"31650694":6,"31681097":11,"316811":11,"317":[],"31718909":11,"317367":11,"317m":[],"31835835":18,"31866499":[],"31896852":8,"319803":5,"31980301":5,"319m":[],"31it":6,"32":[3,4,6,7,12,13,14,16,18],"3200":1,"32039227e":[],"32047562":[],"32066545e":5,"32068012":18,"3208":2,"320m":[],"32149601703519115":6,"3214960170351912":6,"3215":[],"32179365":[],"32309075":[],"32320052":[],"324":2,"32458459":[],"32459186":13,"324m":[],"3250":[1,6],"32512":[],"326238":[],"3263505":16,"326m":[],"32714903e":5,"32721178":[],"327212":[],"32750531e":[],"32816737":[],"32903042":[],"3297":[],"32992274":[],"329923":[],"32it":6,"33":[3,4,7,12,14,16],"3303":[],"33066907e":5,"3310":[],"33166055e":[],"331939":[],"331m":[],"332331":[],"333":7,"3331":[],"33327369":[],"333274":[],"33333333":13,"3337":[],"33611111111111114":[],"336801":[],"33680101":[],"33711888":[],"3384":[],"33900713":[],"33956555":16,"33m":[],"34":16,"3403":[],"34040204e":[],"340782":11,"34114547":5,"34158665":13,"341m":[],"342680":[],"34305928":[],"3436":0,"3437":0,"34498451":16,"3456":[],"345687771875474":16,"34568872":[],"34569596":5,"3457":[],"3458":[],"34585355":[],"3459":[],"3460":[],"34678929":16,"346810":[],"3469819128513336":[],"34740615":[],"3498":[],"34it":[],"35":[0,2,3,4,6,14],"35030572":18,"35074881":[],"350749":[],"3514":[],"35140":[],"35147135":[],"351636":11,"35182854":5,"35203688":[],"35207264":[],"352073":[],"3522":[],"3525":[],"3528556":[],"352856":[],"3529":[],"3530606977":[],"35319678":16,"35346808":16,"3538":[],"35396404e":[],"35401056e":[],"3543":[],"3544313922":6,"3546":[],"35470445e":5,"3548":[],"355":[],"3551":[],"35533773":6,"35533774":[],"3556":[],"35562617e":[],"3558":[],"355906":5,"35590603":5,"3560":[],"356399":[],"3567":[],"3572":[],"35724288e":[],"3575":[],"357508":[],"3576":[],"3577":[],"35771826":6,"35771842":[],"35793003441520066":18,"3581341341":4,"35821426":16,"3585":[],"3587":[],"35892474":[],"35894575":16,"359":5,"3593":[],"3594821":[],"3595":[],"3598":[],"359999999999985":[],"36":[0,2,5,6,7,18],"360":1,"3604":[],"3605":[],"3606":[],"360688":[],"3609":[],"36102113":[],"36117602":[],"3613":[],"3615":[],"361556":[],"3617":[],"3621311":5,"3624":[],"3627":[],"3628":[],"363295916323784e":6,"363295916414895e":[],"3632959170548605e":[],"3632959215700067e":6,"363295924430451e":[],"363834":[],"36383443":[],"363936":[],"36393643":[],"3643":[],"3644017":[],"364402":[],"364418e97433":[],"3645":[],"3646":[],"3647":[],"365350":[],"36535019":[],"3655":[],"3655222":5,"3659":[],"3665263":18,"3668":[],"36689784":[],"366898":[],"3669":[],"367":2,"3672":[],"3673":[],"3674":[],"3679":[],"3684":[],"3687":[],"3688":[],"368m":[],"369139":11,"36it":[],"37":[2,3,4,6,7,14],"3704":[],"370782966":4,"3711":[],"3713":[],"3718":[],"3721":[],"3722":[],"3725":[],"3729":[],"37307168":[],"3739":[],"37396662":6,"37415316":[],"374291":[],"37429133":[],"3748":[],"3749":[],"3753":[],"3759":[],"3760":[],"3765":[],"376559":[],"37655936":[],"376834":[],"37683438":[],"37692363":[],"37703055":[],"37713991":13,"3772":[],"3773":[],"37732":[],"3776":[],"3777801602":6,"3779":[],"37835429e":[],"3784":[],"378664":[],"37866422":[],"37900111":6,"3791":[],"379203":[],"3794":[],"379647":[],"37964744":[],"37992857":[],"37it":6,"38":[2,3,4,7,14,18],"380":[],"38019139":16,"3802":[],"3803":[],"3804":[],"3805":[],"380739":[],"38073947":[],"3811":[],"38135733e":6,"3815":[],"381627865854956":[],"38162787":[],"38168549":18,"3817475779":6,"3818":[],"3819":[],"3820":[],"38222896":5,"3823886":[],"382389":[],"38246359":[],"382672":[],"38267217":[],"3827":[],"382951":[],"38295101":[],"3830":[],"38302314":18,"3833":[],"38336316":[],"3834":[],"3837":[],"3838":[],"3839":[],"3842":[],"3850":[],"3851":[],"38533184":[],"38533185":6,"3854":[],"3858":[],"386":[],"38605872":[],"386059":[],"3861":[],"3862":[],"386294":11,"38629412":11,"38629436":16,"38629844":16,"38637915":16,"3864":[],"3867":[],"3869":[],"387":[],"3871":[],"3872":[],"387482":[],"38748219":[],"3876":[],"388":[],"3881":[],"3882":[],"3885":[],"38868469":[],"3888":[],"3889":[],"389":[],"38901478":[],"38906684":[],"389067":[],"3891":[],"38916861e":6,"38962192e":6,"3898":[],"39":[0,2,3,4,13,14,19],"390":[],"3906":[],"39095416":[],"3914":[],"3915":[],"3916":[],"391602":[],"3917":[],"3922":[],"3925515884752442":[],"3928":[],"3931":[],"39311435":[],"3943":[],"3944":[],"39456996":[],"3950":[],"3955":[],"39560937":[],"39579407":5,"3958":[],"3960":[],"3962":[],"3970":[],"39706038":5,"39724390e":[],"3975":[],"397700":11,"39789527":16,"3979":[],"39794864e":[],"3980313467":6,"3983":[],"39924562":[],"399246":[],"3994":[],"3996":[],"399836":[],"39it":6,"3d":[2,3,4,6,13],"3f":[1,3,9],"3n":16,"3x":[2,8],"3x_i":2,"3y":8,"3yk470mj5p931p9dtkk0y6jw0000gn":[1,6,13],"4":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],"40":[1,6,19],"400":4,"4000":20,"4005":[],"4011":[],"40116777":[],"401168":[],"4012":[],"4017":[],"40183706":16,"401842":11,"40214433":[],"4022":[],"40236901e":[],"4027":[],"4030":[],"40340043":[],"4034668048":[],"4038":[],"4039":[],"404":[],"4045":[],"4048":[],"4055":[],"405890":11,"4059":[],"40599799":[],"4068":[],"4069":[],"4075":[],"40754621":13,"4077":[],"408":[],"4082":6,"40829683":[],"408297":[],"4084":[],"4087":[],"4087793":5,"4088":[],"4089":[],"409":[],"40927184e":6,"40a38ad763f1":[],"41":[2,16],"410":[],"4100":[],"4107":[],"410815":[],"41081513":[],"411":[],"4115":[],"4117":[],"412":[],"41211579":[],"412116":[],"4128":[],"4131":[],"41351287":[],"413513":[],"41357064":[],"4143":[],"41433969":5,"4144":[],"41446721":18,"4146":[],"41511965e":1,"41542567":18,"4155":2,"415534701258823":[],"41566661":16,"4162706317":6,"4167":[],"4176":[],"4177":[],"418506":11,"4186":[],"41876267":[],"418763":[],"41882036e":[],"41882037e":6,"4192423635":[],"41958102e":[],"4198":[],"41990268":[],"41it":[],"42":[1,3,4,8,9,10,14,16],"420":[],"42028578":16,"42037468e":[],"42078103":[],"421":[],"4212":[],"422":[],"422275":16,"4224":[],"422480":[],"4224801":[],"423":[],"42340403e":[],"42394972":[],"424":[],"42441033":5,"42449643":[],"42450":[],"425":[],"4255":[],"4258989918":[],"426":[6,7],"42615374e":[],"42631342":[],"427017":[],"42732954":18,"4275":[],"4284066":16,"43":[0,1,3,4,7,14,16],"43054282":5,"43135183":[],"43294696e":[],"43330971e":6,"43333886":16,"43482628":18,"434932":[],"43493232":[],"435163":[],"43552433":[],"435567":11,"43556723":11,"43560678":16,"43579948e":6,"436462435":4,"43761347":[],"43766686":11,"4379":[],"438060758":6,"438136":[],"43876695":[],"438767":[],"439230":6,"4399427":[],"439943":[],"44":[0,1,3,4,14,16],"44089210e":5,"4410":[],"4411":[],"44152248":16,"442600":11,"442701":[],"44270138":[],"443217":[],"444":[],"44688507e":[],"44830642":16,"44970586e":1,"44it":6,"45":[3,4,14,19],"450":[],"450257":11,"4504":[],"45290829":[],"45393214e":[],"454027":[],"45402701":[],"4543859":[],"4557763":11,"455947":[],"456":[],"456418966187335":[],"457":2,"45741697":16,"457770268480242":[],"458027":[],"458078":11,"45960079":5,"45985488":[],"459855":[],"46":[3,4,14,19],"4601":[],"461":[],"461175":[],"462":7,"46284227":18,"46383925e":6,"464424":[],"4644244":[],"46508305":[],"46567887":[],"466":[],"46602982":[],"46696223":[],"469":[],"46932688":[],"4694":[],"46984697e":6,"469868":[],"46986815":[],"47":[3,4,14,19],"4703":[],"47042744":5,"470714":[],"47075725":6,"47116868e":6,"47125748":5,"47132891":5,"47245463":[],"472455":[],"47387858":[],"47400238":[],"47432993":[],"4744":[],"4744219":[],"47478057":[],"47482507":18,"47485224":[],"475311":[],"47531107":[],"47610036":6,"47815203":11,"47920156":[],"47942814":[],"479465113":4,"48":[3,4,14],"48089797":[],"48133064":[],"481979":6,"48212873":[],"48257387":19,"48316523e":[],"483257001":13,"4837":[],"48420165":[],"48476997":11,"48574149":[],"486873":[],"48687342":[],"48739546":16,"489":[],"489522":[],"48952201":[],"48971452":18,"48994188":5,"48it":6,"49":[3,4,5,6,11,13,14],"490":[],"491":[],"49152":3,"492":[],"49282737":16,"493":[],"49385454e":[],"4940954":0,"4959161509356135e":[],"495916150936645e":6,"495916150936654e":[],"4959161509377256e":6,"495916150938325e":[],"49614357":[],"496337":5,"49633743":5,"49636583":[],"49672291":16,"497":[],"498":[],"499":[],"4990":18,"499012":[],"49901244":[],"4992":18,"49932427e":5,"4997":18,"49992743e":[],"4c4c7f":[9,10],"4d":3,"4f":6,"4y":8,"4y_i":10,"5":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],"50":[1,2,3,4,6,7,8,10,13,14],"500":[1,3,4,6,9,10,13],"500000":[],"50000455":5,"50000553":5,"50000718":5,"50000855":5,"50000969":5,"50001063":5,"50001142":5,"50001207":5,"50001261":5,"50001306":5,"50001343":5,"50001374":5,"500014":5,"50001414":5,"50001422":5,"50001439":5,"50001454":5,"50001466":5,"50001476":5,"50001485":5,"50001492":5,"50001498":5,"50001502":5,"50001506":5,"5000151":5,"50001512":5,"50001515":5,"50001517":5,"50001518":5,"50001519":5,"50001521":5,"50001522":5,"50001523":5,"50001524":5,"50001525":5,"501":[],"501049":5,"50104946":5,"50105159":[],"5018":18,"50227564e":6,"5031474174499113":[],"50314742":[],"50321091":5,"504167":[],"50416731":[],"504881":11,"50488131":11,"506":0,"50680321e":[],"50727059":[],"50754416":18,"50769230769231":[],"507d50":[9,10],"50846111e":[],"50846112e":6,"50it":[],"50j":13,"50x10":1,"51":[3,4,10,14],"510":1,"51004249":[],"51126895e":[],"51131471":[],"511315":[],"51150176":16,"51174395":16,"511888":5,"51191552":6,"511977":[],"51197747":[],"512132":[],"51214899":[],"51265232":[],"51289697":[],"512897":[],"5138":[],"51389553":[],"514219":[],"51561271":[],"51664729":18,"51732028":16,"517350858882083":[],"5177783846":4,"517823":[],"51782322":[],"518030":[],"51803019":[],"5188328":5,"518833":5,"519842":[],"52":[3,4,13,14],"520931":[],"52093124":[],"5216048821598704":[],"521719":[],"52171908":[],"5222222222222223":1,"522758":[],"52307692307693":[],"5260627":[],"526744":11,"52713812":11,"52723079":[],"52773051":[],"52799362":[],"528115":[],"52811546":[],"52874252":5,"529":[],"52911941":[],"52945798e":[],"53":[3,4,9,14],"5303329":11,"5305555555555556":1,"5312":[],"531280":[],"53189647":[],"53312754":[],"533941":11,"53394148":11,"53423784":[],"53479276":[],"534793":[],"53603432":[],"53611562":[],"53697476":[],"53703498":6,"5378811":11,"53794784":[],"537948":[],"53815559":[],"53846153846155":[],"539261":11,"53952479":[],"539525":[],"54":[6,18],"540":[],"54016188":[],"540162":[],"54039921":5,"54041041e":[],"541605":[],"54163136":[],"544439":[],"54537329":18,"546166676":[],"546712":[],"54671213":[],"5472246386316972":18,"54722464":18,"54780216":[],"54845458":[],"548455":[],"54886137":[],"54it":[],"55":1,"5501":[],"55026099":[],"550321":[],"55202922":16,"552731":11,"55273102":11,"5539":[],"55505907":[],"555187":[],"55518724":[],"555496":[],"5554964":[],"5555555555555556":1,"55578041":[],"5566":[],"557795":11,"558080":[],"55808001":[],"558241":[],"55824107":[],"55854694":11,"5594":6,"56":1,"56033697":5,"561":[],"5611":[],"5615":[],"56183518":18,"56198284":5,"5625":[],"56302854":[],"5639":[],"564":[],"564374":11,"56437897":[],"564379":[],"565":[],"565006":[],"56500639":[],"56536":0,"56556315":16,"565651":[],"56565106":[],"566":[],"566074":11,"56607416":11,"56636616e":6,"567":[],"568":[],"569":1,"56912044e":6,"56939714":5,"56992937":[],"57":[0,8,19],"570":[],"5700":[],"571":5,"571105947979336e":[],"571105947979352e":6,"571105947979394e":6,"571105947979395e":[],"571105947979439e":[],"57154252":[],"57174058":[],"57201944e":6,"57266138":[],"57361898":[],"574465":11,"576431":11,"57643113":11,"57673618":[],"57810065":16,"57842073e":[],"578889":[],"57888946":[],"57it":[],"58":[10,19],"58084359":11,"58171189":18,"58187347":16,"583595":[],"58395707":[],"58428804":[],"58474054":16,"584804":[],"58671946":16,"5888888888888889":1,"589":[],"58986647":[],"59":2,"590":[],"591":[],"591317992":4,"591594":[],"59159438":[],"59182949":[],"59190877":16,"592":[],"593":[],"593040":[],"59304008":[],"5944444444444444":1,"59591979":[],"595920":[],"59592669":[],"59616454":[],"596165":[],"59766":[],"597660":[],"59833875":[],"598392":[],"59839245":[],"59955801":[],"5cm":18,"5dd54edf2138":[],"5f":8,"5x":8,"5y":8,"6":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18],"60":[1,2,3,6],"60000":4,"6019067271":4,"60236938":[],"60293962":5,"603494":[],"60349429":[],"60420593":5,"6052136":18,"60538875":[],"60619654":[],"6063219":[],"606439":[],"60673226":11,"606760":5,"60685864":[],"60791699":[],"6079169911277265":[],"608028":[],"60802823":[],"60815105":6,"6084611325305795":16,"60943791":16,"60980325":16,"61":[2,7],"61033524":[],"6111111111111112":1,"61123608":16,"612939":[],"613579":[],"61399851":[],"613999":[],"61406871":[],"614133":5,"61413333":5,"61463451":[],"614808":11,"6149274949460215":[],"61576236e":[],"61702282":6,"617572":[],"61757228":[],"618":[],"61808351":[],"618982":[],"6199381169260247":[],"62":[],"62168613":[],"62170669":5,"621707":5,"62249103":16,"62364974":[],"62373464":11,"625":7,"62620724":16,"626635268":6,"62683307":16,"62767384":[],"62894215":5,"62896882":[],"629961":[],"63":[0,1,6,7],"6300745149331701":[],"630224":[],"63025821e":6,"63207808":[],"63249532e":6,"63270833":[],"63367582":[],"633676":[],"63395187":[],"63498144":5,"63675140":[],"6371293350711955":[],"637545":[],"63754524":[],"63860687":[],"63862189":[],"63901111":[],"63it":[],"64":[1,2,3,4,7,13,16],"64012627":5,"64064128":16,"64113381e":[],"64141716e":[],"642380":[],"64238022":[],"64293754":[],"64425009":[],"645":[],"64528459":11,"645285":11,"64615384615385":[],"646283":11,"647":6,"64742912e":6,"647473":11,"6489862":16,"649339":[],"64933923":[],"649382":11,"64x50":1,"65":[1,2,7,8,9],"65136857":[],"6530742540053943":[],"65444431":16,"65522261":5,"65578316":18,"6562":[],"65626043":[],"65628853":[],"65885453":5,"659306":[],"65it":6,"66":2,"66054752":[],"66087937":[],"66204648":6,"66219404":6,"66226149":[],"66247212":[],"662854":[],"66285434":[],"6628996975186953":[],"66292841":[],"66295776":[],"662958":[],"66310422":[],"6638":[],"66410989":[],"66560":[],"66619972":[],"666200":[],"66620847":18,"6669838269597004":[],"667":[],"668172":[],"668186":[],"66818635":[],"66934291":[],"66981186":16,"66it":[],"67":2,"67047975e":6,"671089":[],"67258699":16,"672721":[],"67314874e":[],"67588315":[],"67591616":[],"67697934":[],"67838309":[],"67882608":[],"67970864":[],"679709":[],"68":2,"6808538439837775":[],"68176047e":[],"68192193":5,"68246089":[],"68279358":[],"6834195":[],"68485505":16,"68534263e":6,"68542204":5,"68545647e":[],"6869":[],"68719389":5,"687194":5,"6887363571":4,"689230294669661":[],"68929213e":6,"68944595":[],"689519":11,"68965135":[],"69":[2,7,18],"690":[],"69023787":[],"690569639355314":[],"69061276":[],"690617":[],"69069n_":18,"69115646":16,"692":1,"69295955":[],"6943316601792833":18,"69481746":16,"69484813e":[],"69493539":[],"69504801":6,"6960326":[],"69634577e":6,"69695259":5,"6984511994530214":[],"69908626":6,"69985355":[],"6999536":11,"69it":[],"6e75736fdab1":[],"6f7a6bd7d79f":[],"6m":[],"6n_":18,"7":[0,1,2,3,4,5,6,7,8,9,11,12,13,14,16,18,20],"70":[1,2,6,7],"70127680":[],"701370":5,"70179437":[],"70205195":[],"70354373":[],"703716d317a7":[],"70434005":[],"7050":[],"70598996":[],"70653767":4,"70710678":5,"70721787":[],"707218":[],"70769586":[],"70831425":[],"70832814":5,"70980493":[],"70it":6,"71":[1,2],"71131626":[],"7119":[],"712018":11,"7134":[],"713487":[],"71348713":[],"71350226":[],"7151":[],"71721168":[],"71760245":16,"718165":5,"718697":[],"71869727":[],"72":2,"72174172":11,"722047011333792":[],"72271878e":6,"72347283":[],"7236674":5,"72373129":[],"72394787":16,"724":3,"72509099":16,"72522848":[],"72594302":16,"72671218":18,"72859758":5,"7293182":[],"72981762":8,"73":6,"73005463":18,"7306310662842432":11,"731000":[],"73174557":[],"73287103e":[],"733096":[],"73406033e":[],"73484667":[],"735738558766299":[],"73573856":[],"73752910":[],"7386068":16,"73it":[],"74":[6,13],"740":[],"74081822":8,"741264":[],"74126425":[],"742975":[],"74297504":[],"74368436":[],"743u":[],"7448615806559786":[],"7469898175164704":[],"74840212":5,"7484669886413582":[],"749765":[],"75":[2,5,6,8,11],"7501749450963715":[],"750445":[],"750u":[],"75106135":[],"75118364":[],"751699":11,"75170092":5,"75350216":16,"75361646":18,"753846153846155":[],"7546383166870465":[],"75517445":[],"756232":[],"75623206":[],"756352":[],"75703965":[],"757040":[],"758193":[],"75819326":[],"75838233":[],"75it":[],"76":[2,19],"76060096":[],"76063234":18,"76066069":[],"763u":[],"7643536":[],"765":7,"76529528":[],"76674796":[],"76731400e":[],"76802186":[],"768813":[],"76881337":[],"76923076923077":[],"76936315":5,"7694444444444445":1,"77":[2,13,19],"77034458":[],"770345":[],"7705527590466072":11,"77085375":18,"77152076":5,"7718":9,"773329728649545":[],"77332973":[],"77333117e":[],"774300":[],"775":[],"77559332":18,"77618224":[],"77627886":[],"77632220e":[],"77636e":13,"77662945":[],"7767978193240488":[],"77711437":13,"77714169":8,"77754132e":[],"7782028952":4,"77865169":[],"77954956e":5,"78":2,"78011544":[],"78156479e":[],"78184120e":6,"78286771":16,"7843182645426894":[],"7846153846154":[],"787349":[],"7873493":[],"78752269":13,"78941903":5,"78988962e":[],"79":2,"79009329":[],"79093776":[],"79111643":5,"791123":[],"79135075":16,"79145214e":[],"7923086060375724":18,"79230861":18,"793167":[],"79394867":[],"7939646":[],"794282":11,"79449156":[],"79602861":[],"79754246":[],"797e":6,"79856831e":[],"798761":[],"79876149":[],"7bsq":17,"7c394b1e8b71":[],"7d7d58":[9,10],"7f2b3a6174c2":[],"7m":[],"7odqolophta":17,"8":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18],"80":[0,1,2,5,6,8],"800":[4,7],"800615":5,"80162359":5,"802796":[],"80279641":[],"80315282":[],"803153":[],"80354994":6,"803804":5,"80380438":5,"80469739":5,"8049181":16,"8055555555555556":1,"80561191":[],"80609615e":6,"80609616e":6,"8064":[],"80661365":[],"806614":[],"80728853":18,"80734875":[],"807349":[],"80738685":[],"80747253":[],"80842254":[],"808423":[],"80847477e":6,"81":[1,2],"81048318e":6,"8108619":[],"81160425":5,"81187794":[],"81333804":6,"81333805":[],"81388724e":[],"814":[7,11],"815563":[],"81592628":16,"81633628":11,"816454":[],"81671821":[],"816847":[],"8175":[],"8192798":16,"81974332":[],"82":2,"82073684":16,"8219235992494145":[],"8219236":[],"82198978":5,"82358522":18,"823585220707946":18,"82454365":16,"82650876":[],"826509":[],"8265786":5,"82747653":[],"827477":[],"82773778":[],"828190347382744":18,"82819035":18,"829648415811072":[],"82964842":[],"82997013e":5,"83":2,"8305555555555556":1,"834027":11,"83402742":11,"83512277":5,"836874":[],"83687444":[],"83698677":[],"83999999999999":[],"83it":6,"84":2,"84062065":[],"84203538":[],"84228957e":[],"84232163":[],"842436":[],"84292394":[],"842u":[],"84310736":18,"84355903e":1,"84443254e":1,"84569271":[],"84653115":16,"84780262":6,"84854738":[],"84886051":[],"848861":[],"84923989e":6,"84924834":[],"84977962":11,"84994524":5,"85":[1,2],"850164":5,"8503720991789538":[],"85065653":18,"85086629":16,"85091337":[],"85120833":16,"85263220":6,"8527777777777777":[],"85278920e":[],"853241":[],"85324115":[],"853u":[],"8548082":16,"8557822":16,"85601992":5,"85758696":[],"858":[],"8583333333333333":1,"85953586":[],"85959007":[],"86":2,"8608479":[],"860848":[],"861":[],"86117291":5,"86134827":5,"86145244":11,"86171505":[],"86252988":6,"8638888888888889":1,"86425056":[],"864251":[],"86478158":[],"86546962":[],"86550074":18,"86623151":[],"86630":[],"8666666666666667":1,"86810":[],"86879198":[],"868792":[],"869":0,"86905621":[],"86925797":[],"869258":[],"87":[],"870":0,"8702784034":4,"8705211":16,"871":0,"87191952":[],"871920":[],"872":[],"8722222222222222":1,"87243817":18,"873":0,"87327414":[],"87381451":5,"874":0,"874951":5,"87495119":5,"875":1,"8759":13,"876":6,"87625493":[],"87647541":[],"876664":[],"87666423":[],"87667593906086":18,"87667594":18,"8768":[],"878297":[],"87836018":[],"8792323":16,"879271":[],"87927126":[],"87940752":[],"87it":[],"88":[2,13],"88001352":16,"88017651":[],"880177":[],"88031314":[],"88046261":5,"8805555555555555":1,"88063413":16,"88118231":[],"88137798":11,"88168312e":6,"881788":[],"8826033":18,"883":[],"88336879":5,"884":[],"88477619":[],"885":[],"88512489":[],"88529063e":6,"8855417382991412":[],"88554174":[],"88560514":18,"886":[],"8866190885623907":18,"88661909":18,"88679947":[],"887":[],"887366":[],"88736621":[],"88746795":18,"8879":[],"88871662":[],"8888888888888888":1,"889080":[],"88908038":[],"8894":[],"889686":[],"89":[0,2],"89045167":16,"8916666666666667":[],"89274639":[],"89288636":11,"89335182":[],"893352":[],"893489":[],"89348922":[],"89410423":5,"8944444444444445":1,"89550839":[],"89565264":[],"89582298":18,"8962476":[],"896248":[],"89873772":[],"89876748":[],"8991514":[],"89944994":[],"899450":[],"8f":6,"8g":6,"8n":16,"8x8":1,"9":[0,1,2,3,4,5,6,7,8,9,11,12,13,14,16,18],"90":[1,2,6],"900449":[],"9005135872087155":[],"90054363":[],"90066122":16,"9007164":16,"90075537":5,"9011":6,"90220243":5,"90266948":5,"90268858":[],"9027777777777778":1,"9033":6,"903824":[],"90382431":[],"904":6,"9040":9,"90475506e":6,"90540529":[],"9055555555555556":1,"90559087":[],"905591":[],"90595152":16,"906747":5,"90694878":16,"9083333333333333":[],"90884627":[],"90895045":[],"90940378":[],"90999452e":[],"91":19,"910":[],"9111111111111111":1,"91124889":18,"91128596":5,"912u":[],"913":[],"91379157":[],"913791573406831":[],"91383439":[],"91396388":[],"914":[],"91416375":[],"91479093":[],"91492986e":6,"915":[],"91549644":[],"916":[],"91616374":[],"916164":[],"9166666666666666":[],"91682433":13,"917":[],"91760278":5,"918":[],"91812702":5,"918992":[],"919":[],"92":[6,19],"92087142":18,"9212905":[],"921291":[],"92143477":[],"921435":[],"92208477":[],"922085":[],"92272314":[],"922u":[],"92343595":[],"924018":[],"92477093":[],"924e":6,"925":1,"92507116e":1,"9252772":[],"92578916":5,"92603747":[],"92626212":[],"92631966":11,"926320":11,"926583":[],"92658312":[],"92754397":[],"927544":[],"9277777777777778":1,"92811987":0,"92819235":[],"92857143":7,"92921648":18,"92968793":16,"92it":6,"93":[],"93037171":[],"930372":[],"9305555555555556":1,"930583":[],"930683":[],"931":0,"93155188":5,"93158979":5,"93188452":[],"931885":[],"93248252":[],"932483":[],"932u":[],"933":5,"93414191":[],"93492130e":6,"93579127":[],"93586895":11,"935u":[],"9361111111111111":[],"936762":[],"93676229":[],"936856":[],"93685631":[],"937":18,"937082":[],"93799826":5,"938":18,"9387":[],"939":[0,18],"94":[7,18],"9400":[],"94054854":5,"940549":5,"940776":[],"94077605":[],"94107596":13,"941866404575299":[],"94212937":13,"94226022e":6,"94284104":5,"94320205":5,"94321297":16,"9444444444444444":1,"945":[],"94548496":[],"94591015":16,"946":[],"94639099":11,"946393":[],"94659383":[],"946957":5,"947":[],"9472222222222222":1,"94735055":[],"947903":[],"94790323":[],"948":[],"94822514":6,"9482527":5,"948641":[],"949":[],"94905663":18,"94915262":13,"94986593":11,"95":[1,7,11],"95008046":6,"95079764":[],"95231424":5,"9527777777777777":1,"95284275":5,"95302":11,"953065564":1,"95351665":5,"954":18,"95446837":13,"9549351910143222":[],"954988":[],"954u":[],"9555555555555556":1,"95569422":[],"955820c21e8b":4,"956563":11,"95684892":5,"95703":13,"95714723":[],"957147232685324":[],"957421":5,"95742107":5,"958228616652075":[],"9582286166520774":5,"958476":[],"95it":[],"96":[6,7,11],"960":18,"9601304850018328e":[],"960130485007504e":6,"960130485007934e":[],"9601304850213484e":[],"96013048502692e":6,"96024953":5,"96032148":[],"96084663":5,"961":18,"962":18,"9626883":16,"9635449873404844":5,"9637117593816477":6,"96390357":[],"9640435":5,"964268":[],"96426825":[],"964735":[],"96473528":[],"96489434":[],"9649652536":4,"96527903":[],"96551427e":[],"965548":[],"96601782":[],"96606158":[],"96620033":13,"96653373":[],"96670977":13,"96686324e":[],"96688672":5,"9674916":5,"967536":11,"9675364":11,"9678":6,"967809":11,"96812218":16,"96863851":[],"96987657":[],"96992454":[],"97":7,"97005689":5,"970057":[],"97065296":[],"97108e":13,"97117751":13,"97202":[],"9722222222222222":1,"97230501":[],"97243128":5,"97300836":5,"97434186":16,"97497404e":6,"975":1,"97507735":5,"97547354":[],"97547354476579":[],"975510299261579":[],"9760832":[],"97705827":5,"977418":[],"97758848":5,"9777777777777777":1,"977880":[],"97788031":[],"9780387310732":20,"9780387848570":20,"9781492032632":20,"978553":5,"97898392":6,"97926491":5,"98":[0,1,7],"980":[],"98017611":[],"98036405":[],"9805555555555555":1,"98091621":5,"981321":[],"98139097":5,"98153145":16,"98249059":[],"982491":[],"98266587":[],"98275501":5,"982758":[],"98275836":[],"98316352":11,"983164":11,"983310":[],"98346748":[],"9835443722554817":[],"98399675":[],"98413059":5,"98454786":5,"98467494":[],"985":18,"98566191":5,"986":18,"9861111111111112":1,"986699":5,"98680716":5,"98699753":16,"98716878":5,"98740124":18,"98756882":[],"98794823":[],"9879924":[],"98808176":5,"98822371":6,"9888888888888889":1,"989":18,"9890348":5,"9893149172528393":[],"9893447":5,"9898254753574576":[],"98982548":[],"9898ff":[9,10],"99":[6,7,11,13],"990":[],"99009525":5,"9902552771282336":[],"99049330":[],"99051150":6,"99088801":5,"991":18,"99115119":5,"99157584":[],"99176998":5,"992":18,"99242921":5,"99265097":5,"99274513":[],"993":18,"99316252":5,"99353454":[],"993535":[],"993537":[],"99353748":[],"99371056":5,"993865":[],"99389612":5,"993972":[],"99397245":[],"9940672992288855":18,"9943201":5,"99435648":[],"9947756":5,"99492986":5,"99519225":[],"99528218":5,"99539415":5,"9955282554647219":[],"99566069":5,"99578809":5,"99594988":[],"995950":[],"996":5,"99608161":5,"9963961":5,"99650061":5,"9967458":5,"99700706":5,"99709215":5,"99724883":[],"99729756":5,"99751458":5,"99758326":5,"99775587":5,"99775949":[],"99793613":5,"99799099":5,"99813653":5,"99828624":5,"99829953":[],"9983295":5,"99845267":5,"998577":5,"99861053":5,"99871521":5,"99881845":5,"99884384":5,"99893323":5,"999":[9,18],"99901896":5,"99903755":5,"99911427":5,"99918546":5,"99919837":5,"99926459":5,"9993237":5,"99933188":5,"99938942":5,"9994385":5,"99944272":5,"99949306":5,"99953381":5,"99953475":5,"99957911":5,"99961294":5,"99965056":5,"99967865":5,"99970988":5,"9997332":5,"99975913":5,"99977416":[],"99977849":5,"99980002":5,"9998161":5,"99984732":5,"99987324":5,"99989476":5,"99991263":5,"99992698":11,"999927":11,"99992746":5,"99993978":5,"99995":5,"9999555851685968":[],"999955585168597":6,"9999840939906267":[],"9999858320366368":[],"9x":6,"9y":6,"\u00f8yvind":[6,19],"abstract":1,"boolean":4,"break":[0,4,6,11,14],"byte":16,"case":[0,1,2,3,4,5,6,7,11,12,13,14,15,16,17],"catch":0,"char":[],"class":[0,1,3,4,6,7,8,9,11,12,13,18],"const":[],"default":[0,1,2,4,6,7,13,16],"do":[0,2,3,4,5,6,8,9,10,11,12,13,14,16],"ekstr\u00f8m":4,"eng\u00f8i":19,"export":9,"f\u00f8470":19,"final":[0,1,2,3,4,5,6,7,8,9,10,11,13,14,17,18,19],"float":[0,3,4,5,9,11,13,14,16],"function":[2,3,4,5,9,14,15,16],"import":[0,1,2,3,4,6,7,8,9,10,11,12,13,14,18],"int":[0,1,2,3,4,5,6,11,13,14,16,18],"long":[0,1,3,4,12,13],"m\u00f8svatn":6,"new":[0,1,2,3,5,6,7,8,9,10,11,13,14,16],"null":[],"public":[0,3,4,14,15],"return":[0,1,2,3,4,5,6,7,8,9,11,13,14,16,18],"s\u00f8rli":[],"s\u00f8rlie":19,"sch\u00f8yen":[6,19],"short":[4,5],"steinsv\u00e5g":[],"super":5,"switch":0,"throw":[3,6,18],"true":[0,1,2,3,4,5,6,7,8,9,10,12,13,14,16,18],"try":[0,1,2,4,5,6,7,8,9,10,11,13,14,15,16,18],"var":[1,5,6,10,11,13,18],"while":[0,1,3,4,5,6,7,8,9,11,12,13,18],A:[2,3,5,6,7,10,11,12,13,15,16,17,18,19,20],AND:2,And:[0,3,4,5,6,9,15,18],As:[0,1,2,3,4,5,6,8,10,12,13,16,18],At:[0,4,6,13],BE:0,Be:[2,15],Being:13,But:[0,1,2,3,5,6,9,10,18],By:[0,3,5,6,12,13,16],For:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],IF:6,IN:20,If:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,16,18],In:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],Is:11,Ising:[5,12],It:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],Its:[1,2,4,11],NO:[7,11],No:[3,4,6,7,8,9,14],Not:[0,1,5,6,17],OR:18,Of:18,On:[0,3,17,18,20],One:[0,1,3,4,5,6,7,8,11,12,13,18],Or:[0,1,6],Such:[0,6,12,18],That:[0,5,7,10,11,12,14,18],The:[4,10,13,14,16,17,18,19,20],Then:[0,1,6,8,9,10,11,12,13,14,16],There:[0,3,4,5,6,8,9,11,12,14,16,17,18,19],These:[0,3,4,5,8,9,10,11,12,13,14,16,18],To:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,18],With:[0,5,6,8,9,10,11,12,14,16,18],_0:[5,8,10,11,13],_1:[2,5,6,8,10,11,12,13,14,16],_2:[2,5,8,11,12,13,16],_3:16,_4:16,_9:13,_:[0,1,2,4,5,6,7,8,9,10,11,12,13,16],_________________________________________________________________:[],__call__:[],__class__:10,__doc__:6,__future__:[8,9],__getitem__:[],__init__:[1,3,4,14],__main__:2,__mosek:[],__name__:[2,10],__traceback__:[],_api:[3,4,14],_asarrai:[],_auto10:[6,12],_auto12:6,_auto1:[2,3,4,5,6,7,12,13,16,18],_auto2:[2,3,4,5,6,12,13,16,18],_auto3:[3,4,5,6,12,13,16],_auto4:[4,6,12,13,16],_auto5:[4,6,12,13,16],_auto6:[4,6,12,16],_auto7:[4,6,12,16],_auto8:[6,12],_auto9:[6,12],_ax:[],_base:8,_build:[0,15,17,20],_build_call_output:[],_c:1,_call:[],_call_flat:[],_check_1d:[],_check_optimize_result:[7,11],_compon:11,_config_pb2:[3,4,14],_coordinate_desc:6,_copy_docstring_and_deprec:[],_cpgg0jyh8m:17,_decor:0,_depth:9,_fraction:9,_get_lin:[],_getitem_multilevel:[],_handl:[],_i:[0,1,2,5,6,8,11,12,13],_inference_funct:[],_interpolatefunctionerror:[],_is_primit:[],_j:[0,1,2,3,5,6,8,13],_jit_compil:[],_k:13,_l:12,_lambda:6,_leaf:9,_logist:[7,11],_m:10,_make_vjp:[2,13],_maybe_define_funct:[],_multilayer_perceptron:1,_n:[2,5,8,11,13],_node:[2,9,13],_notokstatusexcept:[],_np:[],_num_output:[],_p:[5,8],_plot_arg:[],_process_traceback_fram:[],_r:[],_ratio:11,_sampl:9,_select_forward_and_backward_funct:[],_split:[6,9],_src:[],_stateful_fn:[],_stateless_fn:[],_sy:[3,4,14],_t:13,_test:6,_trace:[2,13],_valu:[2,13],_varianc:11,_weight:9,a0:3,a0faa0:[9,10],a1:0,a2:0,a3:0,a4:0,a_0:0,a_1a:0,a_2a:0,a_3:0,a_3a:0,a_4:0,a_4a:0,a_:[0,1,16],a_h:1,a_i:[0,1,2,12],a_j:[1,12],a_k:[0,1,12],a_ndim:[],aaron:20,ab:[0,2,5,13,14],ab_channel:15,abandon:1,abbrevi:17,abid:18,abil:[0,10],abl:[0,1,4,5,6,7,10,12,13],abort:[],about:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,16,20],abov:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,16,18],abovement:6,abscissa:13,absolut:[0,2,5,6,13],acceler:13,accept:[0,3,6,9],access:[0,3,11,18],accid:[4,6],accmod:[],accompani:0,accomplish:[8,9,13],accord:[0,1,2,5,6,9,12,13,14,18],accordingli:11,account:[0,3,5,13,18],accumul:[12,18],accur:[0,3,4,6,10,13],accuraci:[0,1,3,4,5,6,7,9,10,11,12],accuracy_scor:[0,1,10],accuracy_score_numpi:1,achiev:[0,1,5,6,8,12,16],aco:18,acquaint:15,acquir:[1,15],acr:0,across:[1,3,6,9,15],act:[1,3,16],action:18,activ:[0,2,3,4,9,17],actual:[0,1,4,5,6,8,11,16,18],ad:[1,3,4,5,8,13,16],ada_clf:10,adaboostclassifi:10,adadelta:13,adagrad:13,adam:[1,3,4],adapt:[4,6,13,20],add:[0,1,2,3,4,5,6,8,10,11,12,18],add_lin:[],add_outgrad:2,add_subplot:[1,7,12,14],addendum:5,addit:[0,2,3,5,6,7,8,9,10,12,13,15,16,18,19,20],addition:[12,13],address:[1,9,11,13,20],adjac:[3,12],adjoint:5,adjust:[0,5,12,13],admir:0,advanc:[4,6,12,20],advantag:[1,3,5,6,10,13,16],affect:3,affin:[0,3,8,11],afford:3,aforement:14,african:0,after:[0,1,2,4,5,6,9,11,12,13,15,16,18],afterward:0,ag:[0,7,17],ag_0:2,again:[0,1,4,5,6,7,8,10,11,12,13,18],against:[1,4,7,10],agegroup:7,agegroupmean:7,aggreg:[9,10],agorithm:10,agre:[5,6,18],ahead:9,ai:[0,20],aid:11,aim:[0,1,4,6,7,11,14,15,16],ainv:5,airplan:3,aka:5,al:[0,2,4,17,20],alarm:5,algebra:[0,3,5,13,15,17],algo:[],algorithm:[0,1,2,4,5,6,7,8,13,14,15,16,17,18,20],align:[0,2,5,6,7,8,13,18],all:[0,1,2,3,4,5,6,7,9,10,11,12,13,14,15,16,17,18,19,20],allevi:[1,13],alloc:[3,16],allow:[0,1,2,3,5,6,8,10,13,15,16],almost:[0,1,6,8,11,13,18],alon:[2,9],along:[2,3,4,5,6,9,10,11,15,16],alpha:[0,1,2,3,4,6,7,8,9,10,13,14,18],alpha_0:3,alpha_1:3,alpha_2:3,alpha_:10,alpha_i:[3,13],alpha_k:13,alpha_m:10,alpha_n:3,alpha_opt:13,alreadi:[2,3,4,5,6,10,12,15,16,18],also:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],alter:1,altern:[0,1,4,5,6,7,8,9,11,13,16],although:[0,1,5,6,8,10,13],alwai:[0,3,5,6,12,13,18],am:4,ame2016:0,american:0,among:[0,3,5,9,10,12,16],amongst:5,amount:[0,1,3,4,6,8,10,14,15],an:[1,2,3,5,6,7,8,9,11,12,13,14,15,16,18,19,20],an_:18,anaconda3:[],anaconda:[0,1,15],analog:13,analys:6,analysi:[1,3,4,7,14,16,17,20],analyt:[2,3,5,6,7,12,13,15],analyz:[0,1,3,4,5,6,14,18],andrew:1,angl:[0,3,9],anharmon:3,ani:[0,1,2,3,4,5,6,7,8,9,10,12,14,18],anim:[4,12],ann:12,annot:[0,1,3,7,8],anoth:[0,1,3,4,5,6,7,8,10,11,12,13,16,18],anp:2,ans_vspac:2,ansatz:0,answer:[0,1,3,5,6,16],antialias:[2,6],anticip:4,anymor:[1,8],anyon:[4,8],anyth:[1,18],anytim:19,apach:1,apart:[11,13],api:[1,3,4,14,15],appar:2,appear:[0,1,3,13,16,18],append:[1,3,4,8,9,13],appendcon:[],appendvar:[],appli:[0,1,2,3,4,6,7,8,9,10,11,12,13,18,20],applic:[0,1,3,4,5,6,7,9,12,13,16,17,18,20],apply_gradi:4,approach:[1,2,4,5,6,9,10,11,12,13,15,18,20],appropri:[2,6,9,12,13,15,18],approx:[0,2,3,6,10,11,13,18],approxim:[0,1,2,3,4,5,6,7,10,11,13,18],apt:[0,15],aq:18,ar:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20],arang:[1,3,4,6,7,9,10,12],arbitrari:[1,4,6,8,12,13,18],arbitrarili:[0,1,11],arc:6,architectur:[3,4,12,20],area:[0,3,6,20],arg:[0,2,13],argc:[],argmax:[1,11],argmin:[4,10,14],argnum:[2,13],argnum_0:2,argnum_1:2,argsort:11,argu:[1,13],argument:[0,2,3,5,6,11,12,13],argv:[],argval:2,aris:[0,6,12,13,18],arithmet:[0,13,16],arm:6,arma:[],armadillo:16,around:[0,1,4,5,6,11,18],arr:2,arrai:[0,1,2,3,4,5,6,7,8,9,11,12,13,14,15,18],arrang:3,arraybox:13,arriv:[0,6,9,11,16,18],arrow:12,arrowprop:8,art3d:13,art:[0,1,15],articl:[0,3,4,6,10],artifici:[0,2,7,12,20],artificialneuron:12,arug:13,arxiv:[3,4],as_fram:[],asarrai:[0,2,6,9],asc:[],ascii:[],ashrafi:19,ask:[5,6,11,12],aspect:[0,6,15],assembl:[0,3],assert:4,assess:[0,6],assici:4,assign:[0,7,8,9,12,13,14,17,20],associ:[0,6,9,12,14,18],assum:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],assumpt:[0,3,5,6,9,11,18],ast:[0,5,6],astyp:[4,9,10],asymmetri:0,asymptot:[4,6],async_wait:[],atoi:[],atom:0,attempt:[0,4,6,7,8,10],attend:17,attent:[0,16],attr:[],attract:[0,10],attribut:[0,9],attributeerror:[],audi:0,audio:[3,4],aurelien:[0,17,20],austfjel:6,author:[0,1,3,4,10,14,18],authour:0,auto:[6,9,10,18],autocor:18,autocorrelation_tim:18,autocorrelform:18,autocovari:18,autoencod:[4,15],autoencond:15,autograd:15,autograph:[3,4,14],autom:[0,15],automac:16,automat:[0,1,2,3,4,11,15,16,17],automobil:3,autonom:[4,20],avail:[0,1,4,6,10,11,15,16,17,20],averag:[0,1,3,6,9,10,13,14,18,19],avg:[],avoid:[0,4,5,6,9,11,13,16],avx2:[],avx:[],awai:[2,3,6],awar:[2,10],award:19,ax:[0,1,2,3,4,6,7,8,9,10,11,12,13,14,16],axes3d:[2,6,13],axes_grid1:6,axessubplot:[],axhlin:8,axi:[0,1,2,3,4,6,7,8,9,10,11,12,13,14,16,18],axiom:5,axlabel:0,axvlin:[4,8],axvspan:4,b1:8,b2:8,b3:8,b:[0,1,3,4,5,6,8,9,10,12,13,14,18,19],b_0:0,b_1:[0,2,12,13],b_2:[0,13],b_5:13,b_:[0,1,16],b_group:9,b_i:[0,1,2,12],b_ia_:0,b_ia_i:0,b_index:9,b_is_vec:[],b_j:[1,12],b_k:[0,1,12,13],b_m:12,b_meta:[],b_score:9,b_valu:9,bachelor:17,back:[0,3,4,5,6,8,9,10,16,17,18],backbon:16,backend:[1,4],background:[17,20],backpropag:1,backtrack:9,backup:16,backward:[1,2,4,12,16],backward_pass:2,bad:6,badli:18,bag:[9,15,17],bag_clf:10,baggingboot:10,baggingclassifi:10,baggingtre:10,balanc:6,band:16,bandwidth:16,bar:[0,6,11],barber:20,bare:[4,10],base:[0,1,3,4,5,7,8,9,10,14,15,18,19,20],basi:[5,7,8,10,11,12,13,16],basic:[2,6,8,12,13,14,15,17,18],batch:[3,4,11,12,13],batch_shap:4,batch_siz:[1,3,4],batchnorm:4,bay:7,bayesian:[5,15,20],bc298b802fe2:[],becaus:[0,1,2,3,4,5,6,8,9,12,13,14],becom:[0,1,2,5,6,7,9,12,13,18],been:[0,1,2,3,4,5,6,11,12,13,15,16],befor:[0,1,2,3,4,5,6,7,8,12,13,14,16,18],beforehand:[0,18],begin:[0,1,2,3,4,5,6,7,8,9,11,12,13,14,16,18],behav:[1,6,13],behavior:[0,1,13],behaviour:12,behind:[0,1,6,8,13],behnoosh:19,being:[0,1,2,3,4,5,7,8,10,11,12,13,18],believ:[9,16],belong:[7,8,9,13,14],below:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,18],benchmark:10,bendik:[],benefici:[1,13],benefit:[0,1,4,11,13,15],bengio:[1,17,20],benign:[1,7],bennosh:19,besid:[4,5],bessel:5,best:[0,1,2,3,4,5,6,7,8,9,10,12,13,19],beta:[0,1,3,5,6,7,10,11,13],beta_0:[0,1,3,5,6,7,13],beta_0x_:0,beta_1:[0,1,3,5,6,7,10,13],beta_1x_0:0,beta_1x_1:[0,7],beta_1x_2:0,beta_1x_:0,beta_1x_i:[7,13],beta_2:[0,3,13],beta_2x_0:0,beta_2x_1:0,beta_2x_2:[0,7],beta_2x_:0,beta_3:3,beta_:[0,3,6,7,13],beta_i:[0,3,5],beta_j:[0,5,6,13],beta_k:13,beta_linreg:13,beta_m:10,beta_mg_m:10,beta_n:3,beta_p:7,beta_px_p:7,betavalu:5,better:[0,1,2,3,4,6,9,10,11,12,13],between:[0,1,2,3,4,5,6,7,8,9,11,12,13,14,18],beyond:[0,1,5,6,8,13],bf:[13,14,16,18],bgd:13,bia:[0,1,2,3,5,8,9,10,12,13,17],bias:[1,2,3,5,6,9,12],big:[0,1,2,5,6,14],bigger:[1,6],bigr:12,bike:9,bilek:19,billion:[3,12,15],bin:[0,7,18],binari:[0,3,5,7,9,10,12,17],binarycrossentropi:4,bind:0,binomi:[15,18],binsboot:6,bioinformat:0,biolog:[1,12,20],bios1100:15,bird:[0,3],bishop:[17,20],bit:[1,4,16,18],bitwis:[3,4,14,18],bivari:2,bk:[0,13],bla:16,black:[8,9,14],blob:17,block:[6,10,15,16,18],blockingavg:[],blockingstd:[],blockingvar:[],blocksiz:[],blocksizemax:[],blocksizemin:[],blogpost:4,blue:[0,3],bmatrix:[0,1,3,5,7,8,11,13,16],bmi:1,bodi:[0,1,4,12],bold:1,boldfac:[0,5],boldsymbol:[0,1,2,3,5,6,7,8,10,11,13,14],boltzmann:[12,15],book:[17,20],boost:[1,9,15,17],boostrap:10,bootavg:[],bootstd:[],bootstrap:[1,13,15,17],bootvar:[],bootvec:[],boston_dataset:0,bot:8,both:[0,1,4,5,6,8,9,10,13,14,15,16,18,19],bottl:7,bound:[0,8,12],boundari:[2,4,8,11,12],boundkei:[],box:[2,4,9],boxed_arg:2,boyd:[8,13],bracket:[4,18],brain:[1,7,12],branch:9,breast:[5,7,11],breviti:13,brew:[0,15],brg:8,briefli:0,bring:[0,5,6,10],broad:0,brought:15,brownle:4,brute:[3,5,11],bs:[8,9,10],buffer_s:4,bui:4,build:[0,4,5,6,10,13,16,18],built:[0,1,3,4,6],bunch:11,busi:0,bx:[],bzl:[],c1:[8,11],c2:[8,11],c95af3df0cdd:[],c:[0,1,2,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20],c_0:18,c_1:12,c_2:12,c_3:12,c_4:12,c_:[0,8,9,10,13,18],c_i:[12,13],c_k:18,ca:1,cabc613b8702:[],cach:10,cal:[0,8,10,12,13],calcul:[0,1,2,4,5,6,8,9,10,11,12,13,14,16,18],california:[],call:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],callabl:[],callback:[],calor:0,cambridg:[13,20],can:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],cancel:[0,13],cancellation_manag:[],cancer:[5,10],cancerpd:7,candid:[8,9,10],cannot:[0,1,4,5,6,7,8,9,17,18],canopi:[0,15],cap:5,capabl:[0,1,8,13,15],capac:2,capita:0,captur:[4,11,12],captured_input:[],car:[3,4],card:[0,7],cardin:1,care:11,carefulli:13,carlo:[0,6,15,18,20],carri:[2,6,7],cart:10,carvalho:19,casella:20,cast:1,cat:[3,4],categor:[0,1,3,9,11],categori:[0,1,3,7,10,12,14,17],categorical_crossentropi:[1,3],caus:[0,5,6,18],causal:0,causat:0,cax:1,cb:6,cbar:1,cbook:[],cc:[0,1,5,13],ccc:[5,12],cd_fast:6,cdf:18,cdot:[0,2,6,12,13,14,16,18],celebr:13,cell:[0,2,3,4,6,7,8,9,10,13,14],center:[0,1,6,7,8,9,11,14,18],centr:20,central:[0,3,5,6,8,16],centroid:[14,18],centroid_differ:14,centuri:3,certain:[0,3,6,7,9,18],cg:13,cha:0,chain:[0,1,13,15,18],chanc:[1,5,13,18],chang:[0,1,2,3,4,5,6,8,9,11,12,13,14,16,18],channel:3,chapter3:0,chapter:[0,6,10,11,16,17,20],charact:[0,3,5],character:[8,9,10,12,18],characterist:[0,1,3,10,13],charg:0,charl:0,chase:4,chd:7,chddata:7,cheap:5,cheaper:[1,13],check:[0,1,3,4,5,6,11,13,16],checkmark:3,checkpoint:4,checkpoint_dir:4,checkpoint_prefix:4,chemic:[],chen:10,chiaramont:2,choic:[0,1,2,3,4,6,9,12,13,14,16],choleski:[5,16],choos:[2,3,6,9,10,11,13,14],chosen:[0,1,2,6,8,9,10,13,18],chosen_datapoint:1,christian:20,christoph:[17,20],cifar10:3,cifar:3,cin:[],circ:[1,12],circl:[0,8,12],circuit:3,circumfer:9,circumv:[1,5,13],ckpt:4,clariti:18,class_nam:[3,9],class_val:9,class_valu:9,class_weight:[],classic:[7,9,13],classif:[0,3,5,6,7,8,11,12,15,17,20],classifi:[0,1,4,7,9,10,11],classificaton:1,classifii:10,clean:1,clear:[1,5,10,12,13],clearli:[0,3,5,6,7,8,18],clever:[1,10],clf3:0,clf:[0,6,8,9,10],clf_lasso:6,clf_ridg:6,clip:[3,18],close:[0,1,2,4,6,8,9,11,12,13,14,18,20],closer:[3,5,13],closest:[8,11,13,14],closur:15,cloud:15,cluster:[0,1,4,6,11,15,17],cluster_label:14,cm:[1,2,3,6,8,13],cmap:[0,1,2,3,4,6,8,9,10],cmap_arg:6,cmath:[],cmb:17,cmd:9,cmu:[],cn_:18,cnn:[12,17],cnn_kera:3,cntk:15,co:[0,2,3,6,9,13],code:[3,4,6,7,8,13,15,16,17,18,20],coef0:8,coef:0,coef_:[0,5,6,8,9,13],coeff:5,coeffici:[0,3,5,6,7,8,9,13,16],coerc:[0,6],coin:[10,18],coin_toss:10,col:[0,11],colab:15,cold:9,colinear:0,collaps:8,collect:[0,2,6,10,11,15,18,20],collinear:5,color:[0,3,4,6,8,9,10,18],color_channel:3,color_cod:6,colorbar:[1,6],colsample_bytre:10,colsaobject:10,colspec:0,column:[0,1,2,5,6,7,8,9,11,12,16],columntransform:9,com:[4,6,15,17,20],combin:[1,2,5,6,7,10,18],come:[0,1,3,4,5,12,13,14,17],command:[0,1],comment:[0,4,5,6],commerci:[0,15],commod:0,common:[0,1,3,5,6,7,9,11,13,14,18],commonli:[0,1,4,6,7,9,13,14],commun:[0,12],commut:3,commutatitav:3,compact:[0,1,3,5,6,7,9,11,12,13,14],compair:0,compar:[0,3,4,5,6,11,13,16],comparison:[2,4,13],compat:[3,4,7,14],compet:0,competit:10,compil:[0,1,3,4,15,16],complet:[0,2,3,4,9,12],completenn:12,complex:[1,5,8,9,11,12,13],complic:[0,1,9,13],compon:[0,1,3,4,5,6,7,9,14,15,17],components_:11,compos:[9,12,14,15],compphys:[0,6,15,17,20],compress:0,compris:6,compromis:5,compulsori:15,comput:[0,1,2,3,4,5,6,7,8,10,11,12,13,15,16,17,18,20],computation:[0,3,6,9,13,18],con:[],concaten:[2,4,6,14],concav:[1,13],concentr:[0,10],concept:[0,2,15],conceptu:[12,13],concern:[0,1,4,7],conclud:[0,5,13],conclus:1,cond:2,conda:[0,1,15],condit:[0,2,4,5,6,8,9,11,13,18],conduct:15,condwav:2,coneqp:[],confid:[0,5,6,7,8],config:[3,4,14],config_pb2:[3,4,14],configur:3,confirm:[5,12],confus:[5,6,10,16],confusion_matrix:9,congruenti:18,conjug:[4,8],conjugaci:13,conjunct:3,connect:[0,1,3,4,9,11,12,13,16],consequ:[5,6,8,10,12,13],conserv:[5,14],consid:[0,1,2,3,5,6,7,8,9,10,12,13,16,18],consider:[0,1,5,13],consist:[0,1,2,3,4,6,12,13,18],constant:[0,2,3,4,5,6,8,12,13,14,18],constitu:0,constitut:[2,6],constrain:[1,3,5,7,11],constraint:[5,6,8,13],construct:[0,1,2,3,5,6,7,8,9,10,11,16,18,20],contact:0,contain:[0,2,3,4,5,6,7,8,9,11,12,13,14,16,18,20],contemporari:20,content:[1,15,16],context:[6,10,13],contigu:16,continu:[0,1,2,3,4,5,6,7,8,9,10,12,13,16,18],contour:[9,10,13],contourf:[8,9,10],contrast:[1,4,9,10,12],contribut:[0,3,5,13,18],contributor:0,control:[0,1,3,9,13,15],conv2d:[3,4],conv2dtranspos:4,conv:[3,4],conveni:[0,5,6,12,13,16],convent:12,converg:[1,2,4,5,6,7,8,11,13,14],convergencewarn:[1,6,7,8,11],convert:[0,1,3,4,5,9,11,13,14,16],convert_phas:[3,4,14],converter_error_data_pb2:[3,4,14],converttomatrix:4,convex:[4,5,7],convinc:13,convolut:[1,4,15,17],cool:[4,9],coolwarm:6,coordin:[5,12,14],coorel:0,copi:[0,1,2,14],core:[2,3,4,10,13,14],corel:0,coronari:7,corr:[0,5,7,11],correalt:[11,15],correct:[0,1,2,3,4,5,13,16,18],correctli:[1,2,6,10],correl:[0,1,3,5,6,7,10,12,13,15,18],correlation_matrix:[0,5,7,11],correspond:[0,3,5,6,8,9,11,12,15,16,18],cortex:12,cosin:[3,6],cost:[0,2,3,5,6,7,8,9,12,13],cost_deep_grad:2,cost_funct:2,cost_function_deep:2,cost_function_deep_grad:2,cost_function_grad:2,cost_grad:2,cost_sum:2,costol:13,could:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,18],coulomb:0,count:[0,9,17,18,19],countor:13,coupl:[4,5,6],cours:[0,1,3,5,11,17],courvil:[17,20],cout:[],cov:[5,6,11,16,18],cov_xi:[5,11],cov_xx:[5,11],cov_yi:[5,11],covari:[0,7,15,16],covariance_matrix:[5,11,14],cover:[0,5,15,17,20],covert:0,covxi:18,covxx:18,covxz:18,covyi:18,covyz:18,covzz:18,cpu:1,cpu_feature_guard:[],craft:3,creat:[1,2,3,4,5,6,9,10,11,12,13,15],create_biases_and_weight:1,create_convolutional_neural_network_kera:3,create_neural_network_kera:1,create_x:[5,11],credit:[0,7],crim:0,crime:0,criteria:[0,4,9,10,14,18],criterion:[9,10,13],critic:6,cross:[0,1,3,7,9,10,13,15,17,18],cross_entropi:4,cross_val_scor:6,cross_valid:[7,10],crossvalid:6,crucial:[1,18],cs231:3,cs:17,csr_matrix:16,cstdlib:[],csv:[0,4,6,7,9],ctnk:1,ctx:[],cubic:0,cumbersom:5,cumsum:[10,11],cumul:[10,18],cumulative_heads_ratio:10,cup:5,current:[1,2,3,4,6,13,14],curs:0,curv:[6,7,10,12],curvatur:13,custom:[6,14],custom_cmap2:[9,10],custom_cmap:[9,10],cutpoint:9,cv:[6,7,10],cvxbook:13,cvxopt:[5,8],cyber:20,cycl:[1,12],d1:[],d2:[],d2_g_t:2,d3:[],d670a873ab0c:[],d985fb40c43d:[],d:[1,2,3,4,5,6,7,8,9,10,11,13,14,16,18,19],d_f:13,d_g_t:2,d_net_out:2,da:3,dagger:[5,16],dai:[1,9,15],dalen:[],damp:3,darget:9,darkr:18,dat:0,dat_id:[0,6,7,9],data1:14,data2:14,data3:14,data4:14,data:[2,4,5,8,10,12,13,14,16,20],data_handl:[],data_id:[0,6,7,9],data_indic:1,data_modul:[],data_path:[0,6,7,9],data_url:[],databas:1,datafil:[0,6,7,9],datafram:[0,4,5,7,9,11],datapoint:[1,5,6,7,11,13],dataset:[0,4,6,7,8,9,10,11,13,14],datatyp:4,date:0,daughter:10,david:20,dbh:1,dbo:1,dcomposit:16,ddot:2,dead:1,deadlin:17,deal:[0,1,3,5,6,8,11,13,14,16,18],dealt:0,debt:7,debug:[0,5,6],decad:[0,3],decai:[0,13,18],decemb:17,decent:10,decid:[0,2,3,5,6,9],decim:0,decis:[0,1,8,11,15,17,20],decision_funct:8,decision_tre:9,decisiontreeclassifi:[9,10],decisiontreeregressor:[0,9,10],declar:[0,4,16],decompos:[5,6,16],decomposit:[0,6,12,17],decompost:5,deconvolut:3,decor:0,decorrel:[10,13],decreas:[1,2,4,5,6,10,11,13],deduc:0,deep:[3,7,12,13,15,17,20],deep_neural_network:2,deep_param:2,deep_tree_clf1:9,deep_tree_clf2:9,deep_tree_clf:[9,10],deepen:[5,15],deeper:[0,3,4],deeplearningbook:20,deer:3,def:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,18],def_covari:18,def_funct:[],default_tim:4,defect:5,defici:5,defin:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],definit:[1,2,5,6,8,10,11,12,13,16,18],defint:18,defun:[],defvjp:2,degre:[3,5,6,8,9,10,11,18],del:1,delet:6,delimit:4,deliv:17,delta:[0,2,3,6,8,12,13,14],delta_0:3,delta_1:3,delta_2:3,delta_3:3,delta_4:3,delta_5:3,delta_:[1,16],delta_h:[0,1],delta_j:[3,12],delta_k:12,delta_l:[1,3],delta_n:[0,3],delug:15,delv:0,demand:13,demonstr:[0,3,5,6,7,11,12,15],den:4,denomin:[1,5],denot:[1,2,6,7,13,18],dens:[1,3,4],dense_1:[],densiti:[0,2,6,18],depart:19,depend:[0,1,2,4,5,6,7,8,11,12,13,15,16,18],depict:18,deploy:[0,15],deprec:[2,6,13],deprecate_nonkeyword_argu:0,depth:[0,3,9,10,16],deriv:[0,1,2,6,7,8,10,11,13,15],derivati:13,descend:[5,9,11],descent:[0,1,3,7,8,12,17],descr:[],describ:[0,2,4,5,6,8,10,11,12,13,16],descript:[0,8,9],design:[0,1,3,4,5,6,7,10,11,12,13],designmatrix:0,desir:[0,2,4,5,13,14],despit:[1,12],destroi:16,det:[5,16],detail:[0,6,11,13,14,16],detect:[3,8,12],determin:[0,2,3,4,5,6,8,9,10,11,12,13,16,18],determinist:[7,13,18],dev:1,develop:[0,3,5,8,10,11,12,15,16,17],deviat:[0,1,2,4,5,6,18],device_nam:[],devis:12,df:[4,8,11,13],di:0,diag:[5,8],diagnost:[1,10],diagon:[0,5,7,13,16,18],diagonaliz:5,diagram:10,diagsvd:6,dice:[6,18],dict:[6,8],dict_kei:[],dictionari:0,did:[0,1,5,6,7,10,11,14],die:1,diff1:2,diff2:2,diff:2,diff_ag:2,diffeent:8,differ:[0,1,2,3,4,5,6,9,10,11,12,13,14,15,16,18,20],differenti:[0,3,15,16,17],differential_oper:[2,13],difficult:[0,1,6,10,13,18],difficulti:[0,1,13],diffonedim:2,digit:[0,1,3,4,6,17,19],dilemma:13,dilut:1,dim:[4,11,14,16],dimens:[0,1,2,3,4,5,8,11,14,16],dimension:[0,4,5,6,9,11,13,14,15,16],dimensionless:[0,3],diment:16,dimnsion:4,diod:3,direct:[0,1,2,4,11,12,13,14],directli:[1,4,5,6,18],directori:[],disabl:[3,4,14],disadvantag:0,disappear:[3,6],disc_loss:4,disc_tap:4,discard:[6,11],disciplin:[0,3,12],disclaim:18,discourag:13,discov:0,discover:5,discret:[1,3,5,7,13],discrimin:[4,7,10,11],discriminator_loss:4,discriminator_loss_list:4,discriminator_model:4,discriminator_optim:4,discuss:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],diseas:7,disguis:6,disord:[1,7],displai:[0,1,3,4,5,6,7,8,9,10,11,12,14,18],displaystyl:[0,5],displot:[],disregard:0,dissimilar:[11,14],dist:14,distanc:[0,8,9,11,14,18],distance_list:9,distinct:[3,7,8,9,10,14],distinctli:8,distinguish:[0,4,7,8,18],distplot:0,distribut:[0,1,4,6,7,10,11,13,14,15,16],distrubut:[0,15],div:[],dive:[0,8,16],diverg:[1,13],divid:[0,1,3,5,6,8,9,11,12,18],divis:[6,8,9,13,16,18],dna:7,dnn1:4,dnn2_gru2:4,dnn:[0,1,2,4,12],dnn_kera:1,dnn_model:1,dnn_numpi:1,dnn_scikit:[0,1],doc:[0,6,15,17,20],document:[4,7,11,13],doe:[0,1,2,3,4,5,6,8,10,11,12,13,16,18],doesn:[3,9,12],dog:[1,3,4],domain:[5,8,13],domin:0,don:[0,1,3,5,6,8,11,13,15],done:[0,2,3,4,5,6,9,10,11,13,16],dot:[0,2,3,5,6,7,8,9,10,11,12,13,16,18],doubl:[3,4,16],doubli:1,down:[0,3,6,9,11,12,13],download:[0,1,3,5,6,16,20],downsampl:3,dozen:1,dq:6,drag:13,dramat:11,drastic:4,draw:[4,6,10,13],drawback:[0,1,3,13],drawn:[1,4,6,7,11,18],drive:[3,4],driven:3,drop:[0,1,5,6,11,13,18],dropna:[0,6],dropout:4,ds:[],dt:[2,3,13,18],dtype:[0,1,2,3,4,14,16],dualiti:6,dub:0,due:[1,2,5,6,8,10,12,13],dummi:0,dure:[0,1,3,4,8,9,11,15],dwell:0,dwh:1,dwo:1,dx:[2,3,8,18],dx_1:18,dx_1p:6,dx_2p:6,dx_mp:6,dx_n:18,dxp:6,dy:[1,8,18],dynam:4,dysth:19,dz:8,e:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,19],e_:[0,2],each:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19],eager:[],eapprox:0,earli:[1,13],earlier:[0,5,7,8,9,11,12,13],earthexplor:6,eas:[6,9,14],easi:[0,5,6,7,8,9,10,11,12,13,15,16],easier:[5,6,8,9,13,18],easiest:13,easili:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16],eastern:19,ebind:0,eblock:9,economi:5,ecosystem:15,ect:17,edg:3,edgecolor:6,edu:13,educ:0,eface79dac2c:[],eff:18,effect:[1,4,10,13,18],effic:1,effici:[0,3,10,13,15,16,18],efron:6,egrad:13,eig:[5,11,13,16,18],eigen:18,eigenpair:[5,11],eigenvalu:[0,5,8,11,13,16],eigenvector:[5,11,13],eight:16,eigval:[16,18],eigvalu:[11,13],eigvec:[16,18],eigvector:[11,13],eispack:16,either:[1,5,6,7,8,9,10,11,13,18],ekstrom:[],elabor:18,elarn:3,electr:[0,3,12],electur:20,eleg:11,element:[1,2,3,4,5,6,7,8,11,12,13,15,16,17,20],elementari:[10,13,16],elementwis:[3,13],elementwise_grad:[2,13],elif:[2,14],elim:16,elimin:[3,8],els:[1,2,3,4,7,9,12,13,16],elu:1,elus:0,email:[17,19],embed:[0,11],embodi:6,emit:18,emner:[17,20],emphas:[0,10,15],emphasi:[0,15,20],empir:[1,11,18],emploi:[0,1,5,6,11,13,18],employ:0,empti:[6,10],emul:12,en:[15,20],enabl:11,enbodi:6,encod:[0,3,5,9,11,14],encompass:[0,18],encount:[0,1,5,6,7,13,18],end:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],end_box:[2,13],end_nod:[2,13],end_valu:[2,13],endl:[],endpoint:[3,6],energi:[0,4,6],enet_coordinate_desc:6,enforc:12,eng:20,engin:[0,1,3,4,15],english:20,enorm:3,enough:[0,6,13],ensembl:[1,9,17],ensur:[0,1,2,3,5,6,11,13,18],ensure_initi:[],enter:[5,6],enthought:[0,15],entir:[1,3,7,9,15,18],entiti:[9,12,16],entri:[0,5,8,11,12,16],entropi:[1,3,7,10,13],enumer:[0,1,2,3,4,6,8],env:[0,1,2,3,4,6,7,8,11,13,14,18],environ:[2,15,20],eo:[0,6],eol:0,eosfit:0,epoch:[0,1,3,4,12,13],epsilon:[0,5,6,7,13],epsilon_0:0,epsilon_1:0,epsilon_2:0,epsilon_:0,epsilon_i:0,eq:[3,13,14,16,18],eqnarrai:[3,5,6],equal:[0,1,2,3,4,5,6,8,9,11,12,13,14,16,18],equat:[1,3,4,5,6,7,8,9,10,11,13,14,16,17,18],equilibrium:[2,12],equiv:[3,13,16,18],equival:[0,1,5,8,11,13,15,16],erf:18,err:[0,10],err_:6,err_sqr:2,errat:13,errno:[],erron:2,error:[1,2,4,5,6,7,9,11,12,13,15,16,18],error_estimate_corr_tim:18,error_handl:[],error_hidden:1,error_output:1,escap:13,especi:[1,3,9,12,13],essenti:[0,5,6,9,10,12,14,17,18],establish:[0,6,10,11],estim:[0,1,5,6,7,10,11,13,15,18],estimated_mse_fold:6,estimated_mse_kfold:6,estimated_mse_sklearn:6,et:[0,2,4,17,20],eta0:[8,13],eta:[0,1,3,8,12,13],eta_:13,eta_t:13,eta_v:[0,1,3],etc:[0,1,3,5,7,8,9,11,12,13,14,15,16,18],ethic:15,etsim:6,euclidean:[0,14],evalu:[0,2,3,4,5,6,9,13,18],evalut:13,even:[0,1,3,4,5,6,8,9,10,11,12,13,14,15,16,18],evenli:4,event:[5,7,10,18],eventu:[0,5,6,11,12,13,19],everi:[0,1,2,3,4,5,6,9,10,11,12,13,14,15,18],everyth:[4,12],everywher:[4,13],evolv:0,exact:[0,2,5,11,12,13,16,18],exactli:[0,3,4,6,12,15],examin:6,exampl:[5,11,12,13,15,16,17,18,20],exce:[1,12,13],excel:[0,1,4,5,10,20],except:[3,4,6,8,9,16],excess:0,excit:0,exclud:[1,6,12],exclus:[0,1,3,6,18],execut:[2,5,13],executing_eagerli:[],exemplifi:13,exercis:[5,15,17],exhaust:6,exhibit:[0,5,6,8],exist:[0,1,2,3,5,6,7,8,9,13,16,20],exit:[5,16],exp:[0,1,2,5,6,7,8,10,11,12,13,18],exp_term:1,expand:[5,7,11,13],expans:[0,3,5,8,10,12,13],expect:[0,1,5,6,7,11,12,13,15],expectation_value_of_h_wrt_p:18,expens:[6,10,13],experi:[0,1,6,8,13,15],experiment:[0,3,4,6,9,14,18],experimental_get_tracing_count:[],expert:[1,9],explain:[0,6,9,10,11,13],explained_variance_ratio_:11,explanatori:0,explicit:[0,3,6,13,16],explicitli:[0,4],explod:1,exploit:[0,3,12,13],explor:[1,4,6,8,13,15],expon:1,exponenti:[0,1,5,6,10,13,18],export_graphviz:9,export_text:9,exporttext:9,expos:15,express:[0,2,3,5,6,7,10,12,13,16,18],exptmean:18,exptvari:18,extend:[0,2,7,11,13,15],extens:[0,12,15],extent:[0,1,6,20],extern:[3,6,9],extra:[1,3,5],extract:[0,3,5,6,7,8,11,13,16],extrapol:0,extrem:[0,1,4,5,6,7,8,9,13,16],extremum:13,extrins:11,ey:[0,5,6,13,14,16],f11:0,f12:0,f13:0,f1:13,f1_grad:13,f1d:13,f2:13,f2_grad_x1:13,f2_grad_x1_analyt:13,f2_grad_x2:13,f2_grad_x2_analyt:13,f3:13,f3_grad:13,f3_grad_analyt:13,f4:13,f4_grad:13,f4_grad_analyt:13,f5:13,f5_grad:13,f6:13,f6_for:13,f6_for_grad:13,f6_grad_analyt:13,f6_while:13,f6_while_grad:13,f6d7a289d493:[],f7:13,f7_grad:13,f7_grad_analyt:13,f8:13,f8_grad:13,f9:[0,13],f9_altern:13,f9_alternative_grad:13,f9_grad:13,f:[0,1,2,3,4,5,6,7,8,10,12,13,14,16,18,19],f_0:[3,10],f_1:[10,13],f_2:[12,13],f_3:12,f_:10,f_d:18,f_grad:13,f_grad_analyt:13,f_i:[0,6,12],f_m:[3,10],f_n:3,f_raw:2,f_vec:2,f_wrap:2,face:13,facecolor:[6,8,18],facil:[0,15],facilit:12,fact:[0,1,3,5,9,11,12,13],factor:[0,1,3,5,6,9,10,11,13,16,18],factori:13,fade:6,fafab0:[9,10],fail:[0,6,7,8,11,13,19],failur:7,fairli:[1,2,18],fake:4,fake_loss:4,fake_output:4,fall:[8,9,17],fals:[0,1,2,3,4,5,6,7,9,10,13,14,16],famili:[0,7,8,18],familiar:[0,3,5,6,8,15,16,18],famou:[6,12],far:[0,3,4,5,6,8,11,12,13,14],fashion:[0,9,10],fast:[1,3,6,10,12,13,15,18],faster:[1,11,13],fastest:[13,16],favor:7,favorit:18,fc:3,fdf8a5d7c717:[],fdfcc778e1f8:[],fe5b9d300cc0:[],featur:[0,1,3,5,6,7,8,10,11,12,13,15,18],feature_nam:[0,1,7,9],feautur:9,fed:1,feed:[0,2,3,11,15,17],feed_forward:1,feed_forward_out:1,feed_forward_train:1,feedback:4,feeddorward:4,feedforward:[1,4,12],feel:[0,5,6,11,13,15,19],feet:0,fetch:6,fetch_california_h:[],fetch_openml:[],few:[1,3,4,5,9,18],fewer:[0,9,11],ffnn:[1,12],field:[0,3,6,12,15],fifth:[0,6],fig:[0,1,2,3,4,6,7,12,13,14],fig_id:[0,6,7,9],figaxi:18,figsiz:[0,1,2,3,4,6,7,8,9,10],figur:[0,1,2,3,4,5,6,7,8,9,10,12,13,14,15],figure_id:[0,6,7,9],figurefil:[0,6,7,9],file:[0,2,3,4,5,6,7,9,13,14],file_prefix:4,filenam:[],filenotfounderror:[],fileout:[],filepath_or_buff:0,fill:[5,9],filter:[3,4],filtered_flat_arg:[],filtered_tb:[],financ:0,find:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,15,18],find_top_boxed_arg:2,fine:[0,14],finish:2,finit:[3,5,6,12,13,18],first:[0,1,2,3,5,6,7,8,9,10,11,13,14,16,17,18,20],firsteigvector:11,fit:[1,3,4,5,6,7,8,9,11,12,13,18],fit_beta:6,fit_intercept:[0,5,6],fit_mod:9,fit_transform:[0,6,8,9,11],fiti:0,five:[0,9],fix:[0,3,4,6,10,11,12,13],fixedformatt:6,fixedloc:6,fkkt:[],flag:4,flat:[12,13],flatbuff:[3,4,14],flatten:[1,3,4,5,16],flexibl:[1,6,8,10,12],float32:[4,9],float64:[4,16],flop:[5,16],flow:[1,4,12],fluctuat:5,fly:11,flyvbjerg:[],fm:0,fma:[],fmax:3,fmesh:13,fn:[],focu:[0,3,4,5,6,15,20],focus:[1,6,7,16],fold:[6,9],folder:[0,1,4,6,13],follow:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20],font:[0,7,18],fontdict:18,fontsiz:[1,6,8,9,10,18],fontweight:1,footprint:3,foral:8,forc:[0,5,6,10,11],forcast:4,forecast:[4,12],forelesningsvideo:17,forest:[0,1,9,15,17],forget:11,form:[0,3,4,5,6,7,8,9,11,12,13,15,16,18],formal:[3,4,14,18],format:[0,1,2,3,4,6,7,8,9,10,11,15,18,20],format_data:4,formatstrformatt:[6,13],formul:[4,6,11,14],formula:[3,13,18],forth:[4,12],fortran2003:15,fortran90:18,fortran:[0,15,16],fortun:[0,11],forward:[0,3,6,15,16,17],forward_backward:[],forward_compatibility_horizon:[3,4,14],found:[1,2,4,5,6,12,13],foundat:15,four:[4,5,6,8,12,16,17],fourier:0,fourierdef1:3,fourierdef2:3,fourierseriessign:3,fourth:12,fr:[],frac:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,16,18],fractal:[],fraction:9,frame:7,framework:[1,8,10,18],frank:[5,11],frankefunct:[5,6,11],free:[0,6,11,13,15,16,18,19,20],freecodecamp:15,freedom:5,freeli:0,frequenc:[3,6,7,18],frequent:[0,8,9,13],frequentist:15,fresh:10,frida:19,fridai:17,friedman:[6,17,20],friendli:4,frog:3,from:[0,1,2,3,4,6,7,8,9,11,13,14,15,16,17,18,19,20],from_cod:9,from_logit:[3,4],from_tensor_slic:4,fromnumer:2,front:[0,4,5],fstream:[],fulfil:[2,5,12],full:[0,1,3,5,7,9,10,13,18],full_matric:5,fulli:[3,6,12,17,18],fun:[2,13,15],fun_nam:[],func:[0,2],functionali:11,functool:[3,4,14],fundament:[0,6,15],funtion:2,further:[2,9],furthermor:[0,3,5,6,7,11,12,13,15],futur:[0,4,8,9],futurewarn:0,fx:[],fy:[17,19],g0:2,g42mrgv128v34gnnhxwk9nrc0000gp:[],g:[0,1,2,3,4,6,8,9,10,11,13,14,18],g_0:2,g_1:[2,10],g_2:[2,10],g_:[2,9,10],g_analyt:2,g_dnn_ag:2,g_euler:2,g_i:2,g_m:[3,10],g_n:3,g_re:2,g_t:2,g_t_d2t:2,g_t_d2x:2,g_t_dt:2,g_t_hessian:2,g_t_hessian_func:2,g_t_jacobian:2,g_t_jacobian_func:2,g_trial:2,g_trial_deep:2,g_vec:2,gain:[1,5,9,10,13],galleri:0,game:4,gamma1:8,gamma2:8,gamma:[0,2,8,9,10,11,13],gamma_0:10,gamma_1:10,gamma_1x:10,gamma_:0,gamma_i:[0,8,18],gamma_j:13,gamma_k:13,gamma_m:10,gamma_x:0,gap:[6,8],gate:[4,12],gather:[0,1,12],gaug:12,gaussbacksub:16,gaussian:[4,5,6,8,14,18],gaussian_point:14,gaussian_rbf:8,gave:13,gbc:17,gca:[2,6,8,13],gd:1,gd_clf:10,gdclassiffiercgain:10,gdclassiffierconfus:10,gdclassiffierroc:10,gdm:13,gdregress:10,ge:[1,5,7,18],gemv:[],gen:[],gen_loss:4,gen_tap:4,gender:0,genener:4,gener:[0,1,2,3,5,6,8,10,11,12,13,14,16,18,20],generallay:12,generate_and_save_imag:4,generate_imag:4,generate_latent_point:4,generate_simple_clustering_dataset:14,generated_imag:4,generator_loss:4,generator_loss_list:4,generator_model:4,generator_optim:4,genexpr:[],genom:15,geodes:11,geometr:[0,13],geometri:5,georg:20,geotif:6,geq:[2,5,8,9,13],geron:[0,17,20],get:[0,1,2,3,4,5,6,7,9,10,11,13,15,16,18],get_dummi:9,get_loc:[],get_next_color:[],get_paramet:2,get_split:9,get_yaxi:8,get_yticklabel:6,getsolutionslic:[],getval:[],gg:[],gibb:15,gif:4,gini:10,gini_index:9,git:[0,15],github:[0,6,15,17,20],gitlab:[0,15],give:[0,1,2,3,5,6,7,8,9,10,12,13,14,15,17,18,20],given:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18],global:[6,7,13],glorot:1,gmail:[],go:[0,1,3,5,6,8,9,11,12,13],goal:[0,7,9],goe:[0,1,2,5,6,13,14,16],golden:13,gone:5,gong:1,good:[1,3,4,5,6,9,10,11,13,15,17,18,20],goodfellow:[4,17,20],googl:[1,4,15],got:[1,6],gov:6,gp:20,gpu:[1,15],grad:[2,13],grad_analyt:13,grade:17,gradient:[0,3,4,7,8,9,12,15,17],gradient_desc:[],gradientboostingclassifi:10,gradientboostingregressor:10,gradients_of_discrimin:4,gradients_of_gener:4,gradienttap:4,gradual:[1,14],grai:[4,6],graph:[1,9,11,12,13],graph_debug_info_pb2:[3,4,14],graph_from_dot_data:9,graph_funct:[],graphic:[0,1,9],grasp:0,gray_r:[1,3],grayscal:3,great:[5,13],greater:[1,7,18],greatli:13,greedi:9,green:[0,3,9,18],grei:4,grid:[1,3,6,7,8,12,18],grossli:13,ground:0,group:[0,6,7,9,14,15,17],groupbi:0,grow:[1,3,9,10],growth:0,gru:4,guarante:[0,4,13,18],guess:[1,4,10,13,14],guestrin:10,guid:1,guilherm:19,h1:2,h21:17,h:[0,1,5,6,8,13,18,20],h_1:[2,13],h_2:[2,13],h_:[0,13],h_m:10,ha:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],habit:0,had:[0,1,6,7,13],hadamard:[1,12],half:[1,8,9],halv:10,hand:[0,1,2,3,5,11,12,13,15,16,17,18,20],handi:3,handl:[0,1,2,5,9,11,15],handle_unknown:9,handsid:12,handwrit:12,handwritten:[1,5],happen:[1,2,3,4,5,6,10,13,18],hard:[1,7,8,10,13],hardcopi:15,harder:[0,1],harmon:3,hasn:1,hassl:[0,15],hast:15,hasti:[0,6,17,20],hat:[0,1,5,6,7,9,10,11,12,13,16],have:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],haven:1,he:7,head:[0,4,10,18],header:0,heads_proba:10,health:0,hear:[0,13],heart:[0,7],heatmap:[0,1,3,7],heavili:0,heavisid:1,height:[1,3,6],held:13,help:[0,1,4,12,13],helper:[4,14],henc:[0,5,6,8,9,10,12,13],her:7,here:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],hereaft:[0,8,12],hermitian:16,hessenberg:16,hessian:[0,2,5,13],heterogen:[9,10],hi:7,hidden:[1,3,4,12],hidden_bia:1,hidden_bias_gradi:1,hidden_layer_s:[0,1],hidden_neuron:4,hidden_weight:1,hidden_weights_gradi:1,hierarch:5,high:[0,1,2,3,4,5,6,9,10,11,13,14,15,16],higher:[0,1,3,5,6,8,13],highest:[1,2],highli:[0,3,4,10,15,16,20],highwai:0,hing:8,hint:13,hip:15,hire:0,hist:[4,6,7,18],histogram:[0,6,7,18],histor:[7,11],histori:[3,4,12],histplot:[],hit:[],hitherto:5,hjorth:19,hobbi:18,hoc:5,hoff:20,hold:[1,3,6,13,14],holder:0,holomorphic_grad:[2,13],home:0,homework:[6,13],homogen:[1,3,9,10,13],honchar:2,hopefulli:[0,11,18],horizont:11,hors:[3,7],hot:[1,9],hour:[1,15,17,18,19],house_pric:[],how:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],howev:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],hs:[],hspace:[0,4,8,10,18],hstack:1,htf:17,html:[0,7,11,15,17,20],http:[0,3,4,6,7,11,13,15,16,17,20],huang:0,huber:0,huge:[1,3,4,15],human:[0,1,3,6,9,12],humid:9,hundr:1,hungri:1,hybrid:17,hydrogen:0,hyperbol:[1,4,12],hyperparam:8,hyperparamet:[3,4,5,6,9,13],hyperplan:11,i0:0,i1:[0,6,8,12],i2:[0,8,12],i3:[0,12],i5:0,i:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,19],i_1:[5,6],i_2:[5,6],i_:13,ian:20,ic:1,id:[7,13],ida:19,idea:[0,1,2,3,4,6,9,10,12,13,16],ideal:[0,2,6,8,13,18],idem:6,ident:[5,6,12,13,16],identical:5,identifi:[0,1,7,9,11,12,13,14],idum:[],ieor:18,ifi:20,ifs:15,ignor:[0,1,3,9],ii:[16,18],iii:16,ij:[0,1,3,6,8,12,14,16,18],ik:[0,16],illustr:[5,7,10,12,13,14,15],im:6,imag:[1,3,4,6,9,11,12,14,20],image_at_epoch_:4,image_batch:4,image_height:3,image_path:[0,6,7,9],image_width:3,imageio:6,images_from_seed_imag:4,imagin:1,immedi:[0,3,4,6,15],implement:[0,2,3,4,5,6,8,9,10,11,12,13,14,17,18],impli:[3,5,6,7,13,16],implicit:3,implicitli:[11,18],importantli:3,impos:[0,6,11,12],imposs:[0,5],impress:[0,12],improv:[0,4,5,9,10,11,13],impur:9,imread:6,imshow:[1,3,4,6],in3050:20,in4080:20,in4300:20,in5400:[3,20],in_out_neuron:4,inaccur:13,inacio:19,inact:12,inadequ:0,inch:6,includ:[0,1,2,3,4,5,6,7,11,12,15,18,19,20],include_bia:[6,9],incom:12,incorrect:1,incoveni:8,increas:[0,1,3,4,5,6,7,8,9,11,12,13,18],increasingli:18,ind:6,inde:[0,2,4,5,6],indefinit:4,indent:[],indentationerror:[],independ:[0,5,6,7,8,12,13,18],index:[0,1,3,4,10,14,15,16,18,20],index_col:0,index_of:[],indic:[0,1,3,4,5,6,9,10,11,13],indispens:6,individu:[1,6,7,10,12,18],indu:0,indx1:2,indx2:2,indx3:2,indx:16,ineffici:[3,13],inequ:8,inequaltii:13,inertia:13,inf1000:15,inf1100:15,inf1100l:15,inf1110:15,inf3000:20,inf4490:20,inf5860:20,infeas:9,infer:[0,1,4,6,20],infer_nrow:0,inferenc:1,infil:[0,6,7,9],infin:[5,6,7,11],infinit:3,infinitesim:18,influenc:[6,10],influenti:1,inform:[0,1,3,4,6,9,11,12,13,14,16,20],infti:[3,6,13,18],ingeni:13,ingrad:2,ingredi:[0,9],inher:6,inherit:16,initi:[0,1,2,6,10,13,14,16,18],initial_epoch:[],initialis:[],initialize_root:[],inject:14,inlin:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],inner:[0,13],innov:20,inp:4,inplac:13,input:[0,1,3,4,5,6,7,8,9,10,12,13,14,18],input_dim:1,input_shap:[3,4],inputs:1,inputs_shuffl:[0,1],insert:[3,5,6,8,10,18],insid:[0,4,7],insight:[0,1,5,15,20],insist:[6,13],inspir:[0,1,12,20],instabl:2,instal:[0,1,5,6,9],instanc:[0,1,2,4,6,9,11,13],instanti:10,instead:[0,1,2,3,4,5,6,8,9,11,13,14,16,18],institut:1,instruct:[0,1],int32:10,int64:[],int_0:18,int_:[3,6,18],int_a:18,intak:0,integ:[1,2,13,14,16,18],integer_vector:1,integr:[3,6,18],intellig:[0,14,20],intend:10,intens:1,intention:14,interact:[0,6,9,12,15],intercept:[0,6,8,11,13],intercept_:[0,6,8,9,13],interchang:[5,12,16],interconnect:1,interest:[0,1,2,3,4,5,6,7,8,9,12,15,17,18],interfac:[0,1,16],interior:[0,9],intermedi:16,intern:[1,10,12],interpol:[1,3,4,6,12],interpr:5,interpret:[0,1,3,4,6,9,10,12,13,14,16,18],interv:[0,3,5,6,7,13,18],intial:13,intract:[0,4],intrins:[3,11,16,18],intro:[15,20],introduc:[0,1,5,6,8,10,12,13,16,18],introduct:[1,2,4,13,17,20],introductori:[0,4,16,20],intuit:[0,5,6,8,12,13],inv:[0,5,13],invalid:1,invalu:[0,13,15],invari:1,invd:5,inver:8,invers:[0,3,6,13],invers_period:[],inverse_transform:8,invert:[0,5,7,10],invok:[0,8],involv:[0,2,6,7,11,12],io:[0,15,17,20],iomanip:[],iostream:[],ip:[0,8,18],ipca:11,ipykernel_42331:[],ipykernel_42376:[],ipykernel_42449:[],ipykernel_42456:[],ipykernel_42530:[],ipykernel_42541:[],ipykernel_42553:[],ipykernel_42573:[],ipykernel_42580:[],ipykernel_42586:[],ipykernel_47411:[],ipykernel_47448:[],ipykernel_47647:[],ipykernel_47724:[],ipykernel_47735:[],ipykernel_94478:1,ipykernel_94529:6,ipykernel_94582:13,ipynb:15,ipython:[0,5,7,9,11,14,15],iq:6,iri:[8,9],irreduc:6,irrelev:5,irrespect:0,is_integ:[],isbox:[2,13],iscomplexobj:[],isinst:[],isn:5,isnul:0,isomap:11,issu:[1,9,16],it_arrai:13,item:[0,13],items:16,iter:[1,2,4,6,7,8,11,13,14,18],itr:[],its:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20],itself:[5,6,12,18],ix:[],j1:16,j:[0,1,2,3,4,5,6,8,9,11,12,13,14,16,18,20],j_:6,j_lasso_sk:6,j_ridge_sk:6,j_sk:6,jackknavg:[],jackknif:[6,15],jackknstd:[],jackknvar:[],jackknvec:[],jacobian:[2,13],jacobian_shap:2,jargon:[],jason:4,jax:15,jensen:19,jerom:20,ji:[12,16],jj:[0,5,6],jk:[0,1,6,12,16],jl:0,jm:16,joao:19,joaogca:19,job:[2,8,10],join:[0,4,6,7,9],joint:[4,5],journal:[],judg:13,judgement:6,julia:[15,16],jump:18,junk:4,jupyt:[0,15,17,20],just:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,18],justif:0,justifi:[3,10],jy:[],jydg2xzka5:17,k0:7,k1:7,k:[0,1,3,5,6,7,8,9,10,11,12,13,14,15,16,18],kaggl:6,kappa_d:18,karim:[],karlsen:[],karush:8,keep:[0,1,4,5,6,11,13,14,16],keepdim:[1,6,10,16],kei:[0,1,3,6,12,20],kept:[4,6,14],kera:[0,4,15],kernel:[0,1,3,15],kernel_regular:[1,3],kernel_s:4,kernelpca:11,kev:0,kevin:20,keyboardinterrupt:2,keyerror:[],keyword:[6,13,16],kfold:6,kg:1,ki:16,kick:[1,13],kiener:2,kilomet:6,kind:[0,2,3,4,8,12,13,14],kj:[6,12,16],kjm:15,kkt:8,kktsolver:[],kl0m3:17,kl:18,km:12,kmean:14,kmeanspoint:14,kn_k:14,know:[0,1,2,5,6,8,13,15],knowledg:[0,15],known:[1,3,4,5,6,7,8,9,12,16,18,20],kondev:0,kp:18,kpca:11,kroneck:14,kuhn:8,kwarg:[0,2,13],kwd:0,kwown:0,l0:7,l1:[0,1,3,7],l1_l2:[1,3],l1regl:5,l1regls_mosek2:[],l1regls_mosek:[],l2:[1,3],l:[0,1,2,3,5,6,7,8,10,11,12,13,16,18],l_1:7,l_2:[7,13],l_:16,l_j:12,la:13,la_i:12,la_k:12,lab:[15,17],label:[0,1,2,3,4,5,6,7,8,9,10,12,13,14,15,16,18],label_prob:13,labelencod:[7,10],labels:[6,8,9],labels_shuffl:[0,1],laboratori:17,lack:0,lagari:2,lagrang:[8,11],lambda:[0,1,2,3,5,6,7,8,10,12,13,18],lambda_0:11,lambda_1:[5,8,11],lambda_2:[8,11],lambda_:11,lambda_i:[8,11],lambda_iy_i:8,lambda_jy_iy_j:8,lambda_k:8,lambda_n:[5,8],lamda:1,lamdbda:[],land:[0,8],landmark:8,landscap:13,langl:[0,6,11,18],languag:[0,1,4,8,15,16,20],lapack:16,laplac:5,laptop:15,larg:[0,1,2,4,5,6,8,9,10,11,13,15,16,18,20],larger:[0,3,5,6,8,10,11,13,18],largest:[4,8,11],lasso:[0,7,15,17],lasso_sk:6,last:[0,1,2,3,4,5,6,7,8,9,10,12,13,14,16,17,18],latent:4,latent_dim:4,latent_point:4,latent_space_value_rang:4,later:[0,1,4,6,7,8,12,13,14,15],latest:[4,15],latest_checkpoint:4,latter:[0,3,6,7,8,11,13,16,17,18],lattic:12,law:0,layer:[0,4,13,14],lbfg:[7,9,10,11],lcc:[5,6],lda:11,ldot:[0,6,11],le:[5,7,10,13,18],lead:[0,1,3,5,6,7,8,9,10,11,12,13,16,18],leaf:9,leaki:1,leakyrelu:4,lear:13,learn:[3,4,5,6,7,8,9,10,12,16,17,20],learnabl:3,learner:10,learning_r:[8,10],learning_rate_init:[0,1],learning_schedul:13,least:[0,2,7,8,10,11,15,16,17,18],leat:13,leav:[0,1,3,5,6,9,11],lectur:[0,1,5,10,11,12,13,15,16,17,20],lecturenot:[0,15,17,20],lecturenovember11:[],lecturenovember12:[],lecturenovember19:[],lecturenovember25:[],lecturenovember26:[],lecturenovember4:[],lecturenovember5:[],lectureoctober14:17,lectureoctober15:17,lectureoctober1:[],lectureoctober21:[],lectureoctober22:[],lectureoctober28:[],lectureoctober29:[],lectureoctober7:[],lectureoctober8:[],lectureseptember10:[],lectureseptember16firstpart:[],lectureseptember16secondpart:[],lectureseptember17:[],lectureseptember23:[],lectureseptember24:[],lectureseptember2:[],lectureseptember30:[],lectureseptember3:[],lectureseptember9:[],lecturethursdayaugust26:[],lecturethursdayaugust27:[],left:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,16,18],leftarrow:[8,12],legend:[0,2,3,4,5,6,7,8,9,10,13],len:[0,1,2,3,4,5,6,8,9,10,11,12,16],len_index:0,length:[0,1,2,3,4,8,9,13,15],length_of_sequ:4,leq:[0,5,7,8,13,14,18],less:[0,1,3,4,5,6,8,9,13,15,18],lessen:1,let:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],letter:[0,16,18],level:[0,1,5,6,9,15,16,17],li:[8,11],lib:[0,1,2,3,4,6,7,8,11,13,14],liblinear:[8,10],librari:[0,1,2,3,4,5,6,9,10,11,16,18,20],licens:[0,1,15],lie:[0,6,11,18],life:[0,1,8,12],lifetim:13,like:[0,1,2,3,4,5,6,7,9,10,11,12,13,15,16,18],likelihood:[0,1,5,9,13],lim_:18,limit:[0,5,6,7,8,11,12,16],lin_clf:8,lin_model:0,lin_reg:9,linalg:[0,2,3,4,5,6,8,11,13,14,16,18],line1:8,line2:8,line2d:13,line3:8,line:[0,2,3,4,6,7,8,9,10,11,13,14],linear:[1,3,5,6,7,9,10,11,12,15,17,18],linear_model:[0,5,6,7,8,9,10,11,13],linear_regress:6,linearli:5,linearloc:[6,13],linearregress:[0,6,7,9],linearsvc:8,liner:[1,3],linerar:10,linewidth:[0,2,4,6,8,9,10],link:[0,4,9,12,15],linlag:5,linpack:16,linreg:0,linspac:[0,2,3,4,6,8,9,10,13,16,18],linu:4,linuek:[],linux:[0,1,15],liquid:0,list:[0,1,2,3,4,9,15],listcomp:2,listedcolormap:[9,10],lite:[3,4,14],lite_const:[3,4,14],literatur:[1,7,14,20],littl:[1,3,9,12],live:8,ll:[0,18],lle:0,lloyd:[4,14],lmb:[0,2,5,6],lmbd:[0,1,3],lmbd_val:[0,1,3],lmbda:13,ln:[1,13],lo:[],load:[0,1,4,6,7,9,10],load_boston:0,load_breast_canc:[1,7,9,10,11],load_data:[3,4],load_digit:[1,3],load_iri:[8,9],loc:[0,3,6,7,8,9,10],local:[0,1,2,3,7,12,13],locat:[2,3,8],lock:[],log10:[0,2,5,6],log1p:2,log:[0,1,2,3,4,5,6,7,9,10,11,13,14,16],log_:0,log_clf:10,logarithm:[0,5,7,16],logic:[0,1,9],logist:[0,1,2,8,9,10,11,12,15,17],logistic_predict:13,logisticregress:[7,9,10,11],logit:7,logreg:[7,9,10,11],logspac:[0,1,3,5,6],longer:[2,3,8,10,14,16,18],loocv:6,look:[0,1,2,3,4,5,6,7,8,9,10,11,13,16,18],lookup:[3,4,14],loop:[1,4,6,10,12,14,15,16],lose:1,loss:[0,1,3,4,5,6,7,8,10,11,13,16],loss_fil:4,lossfil:4,lost:4,lot:[0,1,4,6],low:[0,6,9,10,11],lower:[0,1,3,6,9,10,16],lowercas:16,lowest:[9,13,18],lr:[1,3,4,10],lstat:0,lstm:4,lstm_2layer:4,lstsq:0,lt:6,lu:[0,5],lubksb:16,luckili:2,ludcmp:16,lux:16,lvert:1,lw:0,m:[0,1,2,3,5,6,8,9,10,11,12,13,16,17,18,19,20],m_1:14,m_:[9,12],m_h:0,m_k:14,m_l:12,m_n:0,m_p:0,m_t:13,ma:11,mac:[],machin:[1,3,4,5,6,7,9,10,11,12,16,17,20],machinelearn:[0,6,15,17,20],machinelearningmurphi:17,mackai:20,made:[0,1,3,4,5,6,7,9,11,12],mae:0,magic:4,magnitud:[1,6,7,13],mai:[0,1,2,3,5,6,7,8,9,11,12,13,15,16,18],mail:17,main:[0,1,3,4,5,6,7,9,16,20],mainli:[0,5,6,7,9],maintain:6,major:[1,6,9,10,13,16],make:[1,2,3,4,5,6,7,8,11,12,13,15,16,18,20],make_axes_locat:6,make_moon:[8,9,10],make_pipelin:[0,6,10],make_vjp:[2,13],makedir:[0,6,7,9],makeplot:0,malcondit:16,malign:[1,7,9],mammographi:5,manag:[0,2,3,15],mani:[0,1,3,4,5,6,7,8,9,11,13,14,15,16,18,20],manifold:11,manner:3,manual:6,map:[0,1,2,6,7,8,11,12,14,18],margin:[0,5,8],mari:19,marit:0,marker:[0,7,16],markov:15,marsaglia:18,mask:[],mass:[0,1,5,13],massag:0,masses2016:0,masses2016ol:0,masses2016tre:0,masseval2016:0,master:[6,17],mat1100:15,mat1110:15,mat1120:15,mat3155:[],mat4155:[],mat:15,match:[0,1,4,5,13,14],materi:[4,5,7,13,16],math:[3,7,12,13,16,18,20],mathbb:[0,4,5,6,7,8,11,12,13,14,16,18],mathbf:[0,5,6,7,8,13,16],mathcal:[1,5,6,7,13],matheemat:3,mathemat:[0,6,11,12,13,15,16,17,18,20],mathrm:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,18],matmul:[1,2,5],matmul_adjoint_1:[],matmul_vjp_0:[],matmul_vjp_1:[],matnat:[17,19,20],matplotlib:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],matplotlibdeprecationwarn:[6,13],matric:[0,1,3,4,6,7,8,11,13,15],matrix:[0,2,3,4,6,7,8,10,13,18],matshow:1,matter:[2,3,13],max:[0,1,2,3,4,9,10,12,13],max_depth:[0,9,10],max_diff1:2,max_diff2:2,max_diff:2,max_it:[0,1,7,8,11,13],max_iter:14,max_leaf_nod:10,max_queue_s:[],max_sampl:10,maxdegre:[0,6,10],maxdepth:10,maxim:[1,4,5,7,8,11],maximum:[0,1,2,3,5,7,8,9,10,13,14],maxpolydegre:[5,6],maxpooling2d:3,mbox:[5,6],mc:[],mcculloch:12,mcint:[],mcintsqr2:[],md:11,mdoel:4,mean:[1,2,3,4,5,6,7,9,10,11,12,13,14,15,16,18],mean_absolute_error:0,mean_divisor:14,mean_i:18,mean_matrix:14,mean_squared_error:[0,4,6,7,10],mean_squared_log_error:0,mean_vector:14,mean_x:18,meaning:[0,4,7],meansquarederror:0,meant:[2,3,7,10,13],meantempvec:[],meanvec:[],measur:[0,1,2,5,6,9,11,12,14,18],mechan:[0,4,18],median:0,medicin:12,medium:[4,8,13],medv:0,meet:[0,19],mehta:0,memori:[3,4,11,12,13,16],mention:[0,12,13,18],mere:0,mersienn:[],meshgrid:[2,5,6,8,9,10,11],messag:[5,13],messi:2,met:[0,3,8],metadata:[],meteorolog:9,meter:6,method:[0,1,2,3,4,5,7,8,11,12,14,15,16,17,18,20],metion:6,metric:[0,1,3,4,6,7,9,10,14],metropoli:15,mev:[0,18],mgd:13,mglearn:15,mgrid:13,mhjensen:[1,2,6,7,8,11],mi:10,microsoft:20,mid:1,midel:4,midpoint:9,might:[0,1,2,4,6,9,13],mild:9,miller:[],millimet:6,million:0,mimic:12,min:[0,2,5,8,9],min_:[0,2,5,14],min_samples_leaf:9,mind:[0,6,13],mindboard:4,mine:15,mini:[1,11,12,13],minibatch:[1,11,13],minibathc:13,miniforge3:[0,1,2,3,4,6,7,8,11,13,14],minim:[0,1,2,3,5,6,7,8,9,10,11,12,13,14],minima:[0,1,7,13],minimum:[0,1,2,6,8,9,11,13],minmaxscal:0,minor:[6,13,18],minst:1,minu:7,mirror:9,misc:6,misclassif:[8,9,10],misclassifi:[8,10],miser:0,mismatch:1,miss:[0,10],mistak:4,mit:20,mix:[1,2],mixtur:13,mk:[9,16],mkdir:[0,6,7,9],ml:[0,1,10,13,16],mlab:18,mle:[5,7],mline:[],mlir:[],mlir_graph_optimization_pass:[],mlp:1,mlpclassifi:1,mlpregressor:0,mm:16,mn:[12,18,20],mnist:[1,11],mod:18,mode:17,model:[2,3,5,7,8,9,10,11,13,14,15,18,20],model_select:[0,1,3,5,6,7,9,10,11],modelanalyz:[3,4,14],moder:10,modern:[0,6,7,15],modif:[2,12,13],modifi:[0,1,3,5,7,8,10,12,13],modul:[0,3,4,7,8,9,11,14,16],modular:18,modulenotfounderror:[3,4,7,8,9,14],modulo:18,moe:[5,11],moment:[5,6,13,18],monitor:13,monoton:[5,12,18],mont:[0,6,15,18,20],montecarlocycl:[],moor:[5,6],more:[0,1,2,4,5,7,8,9,10,11,12,13,14,15,17,18],moreov:[0,3],morten:19,mortenimac:[],mosek:[],most:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,17,18],mostli:[1,11],motion:[0,13],motiv:[1,4],move:[0,3,4,5,6,7,9,12,13,14,18],mp4:17,mpl:[0,7],mpl_toolkit:[2,6,13],mplot3d:[2,6,13],mplregressor:1,mse:[0,4,5,6,9,10],mse_simpletre:10,mselassopredict:5,mselassotrain:5,mseownridgepredict:6,msepredict:5,mseridgepredict:[0,5,6],msetrain:5,msg:0,msle:0,mt19937_64:[],mt:[7,12],mu0:18,mu1:18,mu2:18,mu:[0,6,11,13,18],mu_:[6,18],mu_i:6,mu_n:11,mu_x:18,much:[0,1,2,3,4,5,6,8,9,10,11,12,13,16,18],mul:[],multi:[0,1,3,7,15],multiclass:[1,7],multidimension:[11,12],multilay:1,multinomi:7,multipl:[2,4,5,6,7,12,13,18],multipli:[3,5,6,11,13,16,18],multiplum:8,multivari:[0,2,10,11,15,18],multivariate_norm:[11,14],murphi:[11,17,20],must:[0,1,2,5,6,8,10,12,13,14,18],mutat:7,mutual:[1,3,6,13],mx_:18,myenv:[0,1,2,3,4,6,7,8,11,13,14],myriad:[0,15],mz1:18,mz2:18,n1:16,n2:16,n:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,16,18],n_0:[12,18],n_:[1,2,3,8,12,18],n_b:[],n_boostrap:[6,10],n_bootstrap:6,n_categori:[1,3],n_cluster:14,n_compon:11,n_epoch:13,n_estim:10,n_examples_to_gener:4,n_featur:1,n_filter:3,n_hidden:2,n_hidden_neuron:[0,1],n_i:18,n_input:[0,1,3],n_instanc:9,n_iter_i:[7,11],n_job:10,n_k:14,n_l:[12,18],n_layer:1,n_m:9,n_neuron:1,n_neurons_connect:3,n_neurons_layer1:1,n_neurons_layer2:1,n_point:14,n_sampl:[6,8,9,10,14],n_split:6,n_step:4,n_t:2,n_x:2,nabla:[1,13],nabla_:[2,13],nabla_w:13,nag:13,naimi:0,naiv:7,naive_kmean:14,nall:0,name:[0,1,3,4,5,6,7,8,9,10,12,13,14,15,16,18,19],nameerror:[6,10],namespac:[3,4,14],narrow:13,nary_f:[2,13],nary_op_arg:[2,13],nary_op_kwarg:[2,13],nary_oper:[2,13],nation:[1,5],nativ:15,natur:[0,1,4,8,9,12,13,18,20],navier:12,nb:18,nb_:16,nboot:[],nd:14,ndarrai:[2,6],ndim:[],ne:[9,10,16,18],ne_xcl2ctm0:17,nearest:[1,3,6,11],nearli:13,neccesari:6,necess:2,necessari:[0,1,3,4,8,14],necessarili:[0,4,11,18],necesserali:5,neck:7,need:[0,1,2,3,4,5,6,8,9,10,11,12,13,14,16,18],neg:[0,1,3,5,6,7,10,13,16,18],neg_mean_squared_error:6,neglect:18,neglig:18,neighbor:[3,6,11],neither:[4,13],neq:[13,14,18],nervou:12,nest:[2,9,12],nesterov:13,net:[2,4,12],netlib:16,network:[0,9,13,15,17,20],neural:[0,7,13,15,17,20],neural_network:[0,1,2],neuralnetwork:1,neuron:[1,2,3,4,12],neutral:0,neutron:0,never:[1,4,6,9,18],new_box:[2,13],new_root:[2,13],new_trac:[2,13],new_tracing_count:[],newaxi:[0,3,6,9],newli:0,newton:[1,7,8,13,18],next:[0,1,2,3,4,5,6,8,9,13,14],next_guess:13,next_input:4,ng:1,ngini:[],ni:14,nian:[],nice:[0,1,5,11],nichola:[],nicholaskarlsen1102:[],niter:13,nitric:0,nlambda:[0,5,6],nlevel:[],nm:18,nm_n:0,nmse:6,nn:[2,5,6,12,16],nn_model:1,nnmin:2,node:[1,2,3,9,10,12],node_constructor:2,nois:[0,4,5,6,8,9,10,13],noise_dimens:4,noisi:[1,6],non:[0,1,3,5,6,7,9,10,11,12,13,14,16,18],none:[0,1,2,4,5,9,10,13,18],nonlinear:[3,6,8,9,11,12],nonneg:[6,9,13],nonparametr:6,nonsens:18,nonsingular:16,nonumb:[3,7,8,13,16],nor:[1,4,13],norm:[0,1,5,6,8,11,13],normal:[3,4,5,6,7,8,9,10,11,12,13,15,16,18],normali:16,normalize_kwarg:[],norwai:6,notat:[0,2,5,6,13,14,18],note:[0,1,2,3,4,5,6,7,8,11,12,13,14,15,16,17,18,20],notebook:[0,1,3,9,15],noth:[1,2,5,8,12,14,18],notic:[4,5,12,13,16,18],notimplementederror:2,notion:3,notrace_primit:[],novel:[3,6,10],novemb:1,now:[0,2,4,5,6,7,8,10,11,12,13,14,15,16,18],nowadai:[0,1,3,9,15],nox:0,np:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16,18],npr:2,nsampl:6,nspin:[],nt:2,nthi:0,ntrained_model:6,nu:18,nuclear:5,nuclei:[0,18],nucleon:0,nucleu:0,num:4,num_allow_arg:0,num_coordin:2,num_hidden_neuron:2,num_it:2,num_neuron:2,num_neurons_hidden:2,num_output:[],num_point:2,num_tre:10,num_valu:2,number:[1,3,4,5,6,7,8,9,10,11,12,13,14,16,17,19],numberid:7,numberparamet:3,numer:[0,5,6,9,10,11,12,13,15,16,20],numpi:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,18],numpy_vjp:2,numpy_wrapp:2,nunmpi:5,nvalu:[],nx:2,nx_test:6,nx_train:6,nx_train_mean:6,ny:18,ny_pr:6,ny_train:6,ny_train_mean:6,o:[0,6,7,8,9,11,16,20],obei:[6,11,13],object:[0,1,2,4,6,8,10,13,16],objsens:[],obliqu:5,observ:[0,1,3,5,6,7,8,9,10,11,12,13,14,18],obtain:[0,1,5,6,7,8,9,10,12,13,14,16,18],obviou:[5,6,11,18],obviouli:0,obvious:[0,4,5,6,16],oc:5,occupi:0,occur:[0,6,8,9,16,18],od:0,odd:[0,3,7],odenum:2,odesi:2,oen:0,off:[1,3,4,5,9,13,18],offer:[6,11,15,16,17],offic:19,offici:17,ofil:[],ofstream:[],often:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],ofter:16,oh6i_oscwpc:17,ol:0,old:[1,5,10,13],ols_sk:6,ols_svd:6,olsbeta:[0,5],omega:[2,3,6],omega_0:3,omit:[0,5],on_train_batch_begin:[],onc:[1,6,9,11,13],one:[0,1,3,4,5,6,7,8,9,10,11,13,14,15,16,18],oneapi:[],onednn:[],onehot:1,onehot_vector:1,onehotencod:9,ones:[0,2,5,6,8,9,10,11,13,16,17],ones_lik:4,onl:3,onli:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],onlin:[11,17],onto:[5,11],op_nam:[],open:[0,1,4,6,7,9,15,17],oper:[0,1,3,5,6,10,11,12,13,15,18],operation:18,ophint:[3,4,14],oplu:18,opmiz:13,opportun:0,oppos:[6,13],opposit:[1,5,8],opresolvertyp:[3,4,14],opt:[1,5],optim:[0,2,3,4,5,6,7,9,10,11,14,17],optimis:[1,3],optimizer_v2:[],option:[0,1,3,5,6,7,8,11,16],optionalxlacontext:[],optmiz:[1,8,13,17],orang:0,order:[0,1,2,3,5,6,7,8,9,10,11,12,13,16,18],ordinari:[0,2,3,7,11,13,15,17],oreilli:20,org:[0,3,4,7,11,15,16,20],organ:[6,7,10,16],orient:[1,5,18],origin:[0,3,5,6,8,11,12,13,16],orthogn:5,orthogon:[0,5,6,8,11,13,16],orthonorm:5,os:[0,1,4,5,6,7,8,9],oscar:1,oscil:[3,13],oslo:[0,15,17,19],osx:[0,15],other:[0,1,2,3,5,6,7,8,10,13,14,15,17,18,20],otherwis:[0,1,4,7,13,16],ouput:[5,7,12],our:[1,2,3,6,7,8,9,10,12,14,15,16,17,18],ourmodel:0,ourselv:[0,5,6,8,11,13],out:[0,1,2,4,5,6,7,8,9,10,11,12,13,15,16,18],out_fil:9,outcom:[0,7,9,10,12,18],outdoor:9,outer:[6,12],outfil:4,outfilenam:[],outgrad:2,outlier:[0,8],outlin:[6,10,11],outlook:9,outperform:10,output:[0,1,3,4,5,6,7,8,9,10,12,13,16,18],output_bia:1,output_bias_gradi:1,output_shap:4,output_weight:1,output_weights_gradi:1,outputlayer1:12,outputlayer2:12,outsid:4,over1:13,over:[0,1,3,4,5,6,9,10,12,13,16],overal:[1,10],overcast:9,overcom:[12,13],overdetermin:0,overfit:[0,1,3,6,9,10,13],overflow:[1,5],overhead:12,overlap:[3,7,8,9],overlin:[0,5,6,9,10,11,14,16],overst:0,overtrain:4,overview:[3,20],own:[4,5,6,8,12,13,15,16],owner:0,ownmsepredict:0,ownmsetrain:0,ownridgebeta:[0,6],ownypredictridg:0,ownytilderidg:0,oxid:0,oyvinssc:19,p0:2,p1:2,p:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16,18],p_:[2,4,8,9],p_hidden:2,p_i:[5,18],p_j:18,p_n:18,p_output:2,p_x:18,pack:0,packag:[0,1,2,3,4,5,6,7,8,11,13,14,15,18],pad:[3,4],page:[0,15],pai:[0,1,9,13],pair:[0,2,3,9,15,18],panda:[0,4,5,6,7,9,11,15],paper:1,paradigm:0,parallel:[10,15,16],param:2,paramat:2,paramet:[0,1,2,3,4,5,6,7,8,9,10,12,13,18],parameter:[0,6,10],parametr:[0,6],paramt:[3,5],parent:2,parent_argnum:[],park:[],parser:0,part:[0,1,3,5,6,10,16,17,18,20],partial:[0,1,5,6,7,8,10,11,12,13,18],particip:[15,17],particl:[0,4,13,18],particular:[0,1,2,3,5,6,9,10,11,12,13,18,20],particularli:[5,6,8,11,13,18],partit:[1,4,9],partli:6,pass:[2,3,12,14],past:[10,18],patch:[6,18],path:[0,4,6,7,9,15],patient:7,patter:4,pattern:[0,3,4,12,17,20],pauli:0,pc:[11,15],pca:[0,7,15,17],pcolor:6,pcolormesh:6,pd:[0,4,5,6,7,9,11],pde:2,pdf:[0,3,4,5,6,9,17,20],pedagog:0,penal:6,penalti:[6,13],penros:[5,6],pentagon:13,peopl:[0,1,9,13,15],per:[0,1,6,17],percentag:[0,10,11],perceptron:[0,1,7],perfect:[0,1],perfectli:[4,6],perform:[0,2,3,4,5,6,8,10,11,12,13,14,15,16,18],performac:4,perhap:[0,5,13],perimet:1,period:[1,4,18],permut:11,persist:13,person:[5,6,7,17,19],perspect:20,pertin:12,petal:[8,9],peter:20,petersen:[],phantom:18,phase:[6,12],phenomena:18,phi:8,phi_k:8,philip:[],philosophi:13,phone:19,photo:4,phrase:0,physic:[0,1,4,7,12,13,18,19,20],pi:[2,3,5,6,7,9,12,13,18],pick:[1,9,10,11,13,14],pickl:1,pictur:0,pie:15,piec:[11,14],pillow:[0,15],pinv:[5,6,13],pip3:[0,1],pip:[0,1,15],pipelin:[0,6,8,10],pit:4,pitfal:6,pitt:12,pixel:[1,3,4],pixel_height:[1,3],pixel_width:[1,3],place:[0,4,6,8,13,16],plai:[0,3,4,5,6,8,11,15],plain:[8,10,12,13,14],plan:[6,9,19,20],plane:[8,9],plateau:5,platform:15,plausibl:12,pleas:[6,7,11,13],plenti:1,plethora:[3,12],plot:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],plot_confusion_matrix:[7,10],plot_count:6,plot_cumulative_gain:[7,10],plot_data:1,plot_dataset:8,plot_decision_boundari:[9,10],plot_import:10,plot_max:4,plot_min:4,plot_model:4,plot_numb:4,plot_predict:8,plot_regression_predict:9,plot_result:4,plot_roc:[7,10],plot_surfac:[2,6,13],plot_train:9,plot_tre:[9,10],plt:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],plu:[0,3,5,7],pm:8,pmatrix:2,pn:3,png:[0,4,6,7,9],point:[0,1,2,3,5,6,7,8,9,10,11,13,14,16,18,19],point_1:4,point_2:4,poisson:[15,18],poli:[6,8],poly100_kernel_svm_clf:8,poly3:0,poly3_plot:0,poly3dcollect:13,poly_featur:[8,9],poly_features10:9,poly_fit10:9,poly_fit:9,poly_kernel_svm_clf:8,polydegre:[0,5,6,10],polygon:13,polym:12,polynomi:[0,5,6,7,8,9,10,11],polynomial_featur:6,polynomial_svm_clf:8,polynomialfeatur:[0,6,8,9],polytrop:[0,6],pool:3,pool_siz:3,poor:[1,13],poorli:0,pop:2,popul:[0,5],popular:[0,1,3,6,7,8,9,11,12,15,16,18],popularli:0,portabl:10,portion:[11,13],pose:[0,4,5,6,11,18],posit:[0,1,2,3,5,7,8,10,11,13,14,16,18],possibl:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,16,18,19],posterior:5,postpon:0,postul:5,potenti:[0,3,5,6,12,13],potr:[],potrf:[],pott:12,power:[0,1,5,6,8,9,12,13],pp:[5,6],practic:[0,5,6,7,8,17,18],practition:[0,1,3],preced:[1,11,12,18],preceed:4,preceq:8,precis:[0,2,5,11,13,16,18],pred:[6,13],predicit:0,predict:[0,1,5,6,7,8,9,10,15,20],predict_prob:1,predict_proba:[7,10],predictor:[0,5,6,7,9,10,11],prefer:[0,1,6,8,9,11,15],prepar:[0,6,16],preprocess:[0,4,6,7,8,9,10,11],prerequisit:0,presenc:13,present:[0,5,6,9,12,13,16,17,18],preserv:[3,11,16],press:[13,20],pretrain:[1,4],pretti:[0,4,8,9,15],prev_centroid:14,prevent:[13,18],previou:[0,1,2,3,4,5,6,8,10,11,12,13,16,18],previous:[2,3,9,10,18],price:[0,4,9,13],primal:8,primari:[0,7],prime:18,primit:2,princip:[0,5,7,15,17],principl:[0,6,7,8,14],print:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16,18],print_funct:[8,9],printout:0,prior:[0,5,6],privat:0,prob:[1,18],probabilist:[0,20],probabl:[0,1,3,4,6,7,10,13,15,17],problem:[0,3,4,5,6,7,8,9,10,11,12,15,16,17,18],proce:[0,5,6,8,9,10,11,13,16],procedur:[2,4,5,6,8,10,11,13],proceed:16,process:[0,2,4,6,9,10,12,13,15,16,18,20],prod:20,prod_:[1,5,7],produc:[0,3,4,5,6,9,10,11,12,13,15,16,18],product:[0,1,3,5,6,7,8,12,13,15,16],profess:0,program:[0,1,4,5,6,8,12,14,15,16,17,18],programm:16,progress:[1,4,14],prohibit:6,project1:6,project:[0,1,2,3,5,11,13,15,17,19],project_root_dir:[0,6,7,9],promin:12,promis:8,prone:9,pronounc:[13,15],proof:[0,11,12,13],propag:[2,3,13,17],proper:[0,2,6],properli:[1,6,8,10,13],properti:[0,1,3,12,13,16],proport:[0,1,5,9,11,13,18],propos:[1,4,6,10],propto:[5,13],protect:[],protobuf:[3,4,14],proton:0,prove:[3,13],provid:[0,1,3,4,5,6,8,9,10,12,13,15,16,18,20],proxi:[1,13],prune:9,pseudo:[16,18],pseudoinv:5,pseudoinvers:[5,6],pseudorandom:[6,18],psycholog:0,pt:13,ptratio:[],punish:[0,1],pure:[3,9,18],purest:9,puriti:9,purpos:[0,3,10,12,14],put:1,putarow:[],putboundslic:[],putclist:[],putobjsens:[],putqobj:[],py:[0,1,2,3,4,5,6,7,8,11,13,14],pydata:15,pydot:9,pylab:[0,7],pylint:[3,4,14],pypi:15,pyplot:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],pythagora:5,python2:0,python3:[0,1,2,3,4,6,7,8,11,13,14,15],python:[1,2,3,4,5,6,8,11,12,13,14,17,18],pytorch:[0,15],pywrap_tf:[],q:[5,6,8,11,18],qn_bavhmd8u:17,qp:8,qquad:[2,11,13,16],qr:[5,6,16],quad:[1,13,16],quadrat:[0,8,9,13],qualit:[4,9,18],qualiti:[0,9,15],quantifi:1,quantil:10,quantit:[0,6,9],quantiti:[0,2,5,6,7,9,10,11,12,14,16,18],quantum:[4,12],quartil:0,quench:5,queri:9,question:[0,5,6,9,11,12,13],qugan:4,quick:[4,18],quick_execut:[],quickli:[1,3,9,11,13],quit:[1,5,6,9,10,12],quot:4,r2:[0,5,6],r2_score:0,r2score:0,r:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],r_1:9,r_2:9,r_j:9,r_m:9,rad:0,radial:[0,8,12],radioact:18,radiu:[0,1],rag:2,rain:9,rais:[0,2,13],ramp:1,ran0:18,ran1:18,ran2:18,ran3:18,rand:[0,4,5,6,9,10,13,16],rand_max:[],randint:[6,9,13],randn:[0,1,2,5,6,9,11,13],random:[0,1,2,3,4,5,6,8,9,13,14,15,16,17],random_devic:[],random_forest_model:10,random_index:13,random_indic:[1,3],random_st:[0,7,8,9,10,11],randomforestclassifi:10,randomli:[1,6,9,13,14],randomnumbergener:[],rang:[0,1,2,3,4,5,6,7,9,10,11,12,13,14,16,18],rangl:[0,6,11,18],rangle_x:18,rank:5,rankdir:4,raphson:[1,8,13],rapidli:0,rare:[1,13],rate:[0,1,2,3,4,8,9,10,12,13],rather:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,16,18],ratio:[4,7,9,10,11],rational:0,ravel:[5,6,7,8,9,10,11,13,16],raw:3,raw_df:[],rbahrf:17,rbf:[8,11,12],rbf_kernel_svm_clf:8,rbf_pca:11,rc:[0,18],rcond:0,rcparam:[0,1,3,7,8,9,10,18],rd:[],rdbj50lv3go:17,re:[2,4,13],reach:[1,4,5,6,7,9,10,11,12,13,14],read:[0,2,3,4,5,6,7,8,11,12,16,17,18,20],read_csv:[0,6,7,9],read_fwf:0,reader:[0,6,16,18],readi:[0,1,5,6,8,10,11,12,16],readili:1,readthedoc:15,real:[0,1,2,4,7,10,11,12,13,16],real_loss:4,real_output:4,realist:8,realiti:18,realiz:[1,12],realli:[0,1],rearrang:13,reason:[0,1,3,4,10,13,20],reassign:1,rebuild:[],recal:[5,6,9,10,11,12,16,18],recalcul:[],recast:3,receiv:[1,3,10,12,18],recent:[0,2,3,4,6,7,8,9,10,13,14],recept:[3,12],receptive_field:3,recip:[0,6,7,16],reciproc:5,recogn:[0,4,5,10],recognit:[0,1,3,12,17,20],recommend:[0,2,3,4,5,6,8,13,15,16,17,20],reconsid:9,reconstruct:11,record:[10,17],recreat:[],rectangl:[9,13],rectangular:5,rectifi:[1,3,12],recur:[0,15],recurr:[0,1,15,17],recurs:[9,15,16],recycl:[],red:[0,3,4,6,8,9],redefin:[0,10],reduc:[1,3,5,6,9,10,11,13],reduct:[0,10,11,15,18],refer:[0,1,2,3,5,6,7,11,12,13,14,16,20],referenc:2,refin:12,refit:6,reflect:[0,1,4,5,18],refresh:[15,17],reg:[10,11],regard:[1,9,13],regardless:12,region:[3,4,6,9,12],regist:[6,18],reglasso:5,regr_1:[0,9],regr_2:[0,9],regr_3:[0,9],regress:[1,8,11,12,15,16,17],regressor:[0,7,10],regridg:[0,5,6],regular:[0,3,4,5,6,7,9,13],regularis:6,reilli:[0,20],reinforc:[0,8,15],reiter:1,rel:[0,4,6,7,9,12,13,18],relat:[0,1,3,4,5,11,13,14,16,18],relationship:[0,4,9],relativeerror:0,releas:[1,6,13,15],relev:[0,1,5,7,11,15,17,18],reli:[0,6,8],reliabl:[7,18],relu:[3,4],remain:[1,2,4,6,12,16,18],remaind:18,reman:2,remark:1,rememb:[0,8,13,16],remind:[0,5,11,13,16,17,18],remov:[0,4,5,6],render:0,reorder:[5,7],reorgan:0,repeat:[0,1,3,4,5,6,9,10,11,13,14,16,18],repeated:0,repeatedli:[6,10,13],repet:3,repetit:[6,17],rephras:13,replac:[0,1,3,4,5,6,10,12,13,14,15],replica:6,repositori:[0,4],repres:[0,1,2,3,4,5,6,7,8,9,10,12,13,18],represent:[0,1,3,6,18],representd:3,reproduc:[0,5,6,9,12,15,18],repuls:0,request:[0,13],requir:[0,1,3,4,5,6,8,9,11,12,13,16],res1:2,res2:2,res3:2,res_analyt:2,res_analytical1:2,res_analytical2:2,res_analytical3:2,resaml:6,resampl:[0,7,10,15,17],rescal:[0,11,12],rescu:5,reseach:6,research:[0,4,15,20],resembl:[6,18],reserv:[1,5,6,18],reset:[],reshap:[0,1,2,3,4,6,8,9,10,16],residenti:0,residu:[0,5,13],resiz:5,respect:[0,1,2,3,5,6,7,8,10,11,12,13,14,18],respond:12,respons:[0,7,9,12],rest:[0,5],restat:[0,12],restor:4,restored_discrimin:4,restored_gener:4,restrict:[0,3,9,12],result:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],result_typ:[],retail:0,retain:[5,6],return_data:14,return_kwarg:[],return_sequ:4,return_x_i:9,reus:[1,3,6],reveal:[0,12],revers:[1,16],review:[15,16,17],revisit:14,reward:[0,4],rewrit:[0,3,5,6,7,8,10,11,12,13,16,18],rewritten:[2,6,8,10,18],rewrot:13,rf:10,rgb:3,rgoj5yh7evk:15,rh:6,rho:[0,10],rho_1:10,rho_2:10,rho_m:10,rich:0,ride:9,rideclass:9,ridedata:9,ridg:[7,11,13,15,17],ridge_sk:6,ridgebeta:5,right:[0,1,2,3,5,6,7,8,9,10,12,13,14,16,18],right_sid:2,rightarrow:[0,1,5,6,8,11,12,13,18],rigor:0,ring:6,rise:0,risk:[0,13],rival:4,river:0,rm:[0,18],rmse:0,rmsporp:13,rmsprop:[1,3,4,13],rnd_clf:10,rng:18,rnn1:4,rnn2:4,rnn:[4,12,17],rnn_2layer:4,rnn_input:4,rnn_output:4,rnn_train:4,rntrick1:18,rntrick2:18,rntrick3:18,rntrick4:18,ro:[0,13],robert:20,robust:0,robustscal:0,roc:10,role:[0,2,5,6,8,15],roll:6,room:[0,19],root:[0,5,9,13,18],rotat:[1,8,9,10],rotation_matrix:9,roughli:[1,3],round:[0,7,9,13],routin:[13,16],row:[0,1,2,5,6,7,9,11,16],rr:5,rrr:5,rthe:5,rug:13,rule:[0,1,5,6,13],run:[0,1,2,4,5,6,8,9,11,13,15],runtim:[1,6,14],runtimewarn:[1,6],rust:[0,15,16],rustad:19,rvert:1,rvert_2:1,s:[0,1,2,3,4,5,6,7,9,11,12,13,15,16,17,18,19],s_1:6,s_:[3,6],s_i:[6,7],s_j:6,s_k:6,saddl:13,safe:[],sai:[0,1,2,3,4,5,6,7,8,9,10,11,12,16,18],said:[6,9,13],sake:[0,5,7,11],sale:0,same:[0,1,2,3,4,5,6,8,9,11,12,13,14,16,18],samm:10,sampl:[0,1,2,3,4,5,6,7,8,9,10,13,14,15,16,18],sample_vari:14,sample_weight:[],sampleexptvari:18,sastri:11,satisfactori:0,satisfi:[1,2,3,6,8,13,16,18],satur:[1,6],save:[0,4,6,7,9],save_fig:[0,6,7,9,10],savefig:[0,4,6,7,9,18],savetxt:4,saw:5,scalabl:10,scalar:[2,5,6,10,13],scale:[0,1,3,5,6,7,8,9,10,11,12,13,15,16,19],scale_mean:4,scale_std:4,scalei:[],scaler:[0,7,8,9,10,11],scalex:[],scan:[5,7],scari:5,scatter:[0,1,6,7,8,9,14],scenario:[6,13],schedul:13,scheme:[1,13],schrage:18,scienc:[0,1,10,12,13,15,17,18,20],scientif:[0,15],scientist:0,scikit:[3,5,6,7,8,9,10,13,15,16,17,20],scikit_learn:0,scikitplot:[7,10],scipi:[0,3,5,6,13,15,16],scl:6,score:[0,1,3,6,7,9,10,11,19],scores_kfold:6,scratch:1,sdg:13,sdt_bfla8ua:17,seaborn:[0,1,3,6,7],seamless:[0,15],search:[0,1,3,5,9,13],sec:6,second:[0,2,3,4,5,6,7,8,9,11,12,13,14,15,16,18],secondeigvector:11,secondli:12,section:[4,11,16,17,18],sector:0,see:[0,1,2,3,4,5,6,7,8,10,11,12,13,15,16,17,18],seed:[0,1,2,3,4,5,6,8,9,11,13,14,18],seed_imag:4,seek:[1,2,8],seem:[1,3,4],seemingli:0,seen:[0,1,3,5,10,12,18],segment:13,seismic:6,seldomli:0,select:[1,5,6,8,9,10,11,17,18,20],self:[1,5,20],sell:4,semest:[7,17],semi:[8,13],semilogx:6,send:[5,12,13,19],senior:17,sens:[0,4,6,8],sensibl:3,sensit:[0,5,6,9,13],sent:2,sentenc:[4,12],sep:[],separ:[0,1,2,4,6,8,9,12,14,15,18],sequenc:[2,3,4,7,9,10,12,13,15,16,18],sequenti:[1,3,4,10,12,18],seri:[0,1,2,3,4,5,6,10,11,12,13,16,17],serif:[0,7,18],serv:[0,1,2,3,5,7,13,20],session:[1,17],set:[1,4,5,6,7,8,10,11,13,14,15,16,18],set_major_formatt:6,set_major_loc:6,set_stream:[],set_tick:[1,8],set_ticklabel:1,set_titl:[0,1,2,3,7,12,14],set_xlabel:[0,1,2,3,7,12],set_xlim:[7,12],set_xticklabel:1,set_ylabel:[0,1,2,3,7],set_ylim:[7,12],set_ytick:7,set_yticklabel:[1,6],set_zlim:6,seth:4,setiosflag:[],setminu:6,setosa:[8,9],setosa_or_versicolor:8,setp:6,setprecis:[],setse:[],setup:[1,4,6,8,15],setw:[],sever:[0,3,5,6,7,8,9,11,12,13,15,16,17,18],sgd:[1,3],sgd_clf:8,sgdclassifi:8,sgdreg:13,sgdregressor:13,sgn:5,sh:[],shallow:13,shape:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16],shape_bas:2,share:[1,3],she:7,shift:[1,6,12,18],ship:3,shortcom:13,shorten:4,shorter:18,shortli:16,should:[0,2,3,5,6,8,9,11,12,13,16,18],should_sync:[],show:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],show_shap:4,shown:[0,4,5,7,8,11,12,13,16],showpoint:[],shrink:[3,5,6,8,11],shrinkag:[5,6],shrunk:11,shuffl:[0,1,4,6,13],side:[0,2,5,8,12,13,16],sigh:15,sigma0:18,sigma1:18,sigma2:18,sigma:[0,1,5,6,7,10,11,12,13,16,18],sigma_0:5,sigma_1:5,sigma_2:5,sigma_:[5,16],sigma_fn:[7,12],sigma_i:[0,5],sigma_j:5,sigma_m:[6,18],sigma_n:[11,18],sigma_t:13,sigma_x:18,sigmoid:[1,2,4,7,8,10,12,13],sigmundson:[6,19],sign:[1,2,7,8,10,18],signal:[1,3,10,12],signatur:[],signifi:4,signific:1,significantli:[1,13,18],sigurd:19,sim:[4,5,6,13,18],similar:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,15,16],similarli:[0,1,3,5,8,10,18],simpl:[1,2,3,5,6,7,8,10,11,12,14,15,16,18],simple_rnn:[],simplepredict:10,simpler:[0,1,5,6,13,15],simplernn:4,simplest:[0,1,3,4,9,10,12,14],simpletre:10,simpli:[0,1,2,4,5,6,8,9,10,11,12,15,16,18],simplic:[2,5,6,7,8,9,10,11,12,14],simplicti:5,simplifi:[0,6,9,15],simplist:[3,6,18],simul:6,simultan:6,sin:[0,1,2,3,4,9,12,13,16],sinc:[0,1,2,3,5,6,7,8,9,10,11,13,16,18,20],sine:[3,12],singl:[0,1,2,3,5,6,7,8,9,12,13,16,18],singular:[0,6,13,16,17],sinusoid:3,site:[0,1,2,3,4,6,7,8,11,13,14,17],situat:[0,4,5,7,13,18],six:[3,4,14,18],size:[0,1,2,3,4,5,6,8,9,10,11,13,16,18],sketch:10,ski:9,skill:0,skip:11,skiprow:[],skl:[0,6],sklearn:[0,1,3,5,6,7,8,9,10,11,13,14],skplt:[7,10],sl:6,slack:8,slice:[2,16],slide:[0,3,18],slight:[6,13],slightli:[1,2,3,5,6,7,10,18],slope:[8,11,12],slow:[0,2,8,13],slower:[5,16],slowest:16,slowli:12,slp:1,small:[0,1,2,3,5,6,8,9,10,11,12,13,15,16,18],smaller:[0,1,2,5,6,8,9,11,13,18],smallest:[0,4,14],smallest_row_index:14,smooth:[0,3,6,13],sn:[0,1,3,6,7],sne:11,so:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18],soar:6,social:0,soft:[1,7,10,12],soften:8,softmax:[3,7],softwar:[0,8,15,16,17],sol:8,sole:[0,6],solid:[0,7],solitem:[],soltyp:[],solut:[0,1,2,3,5,6,8,10,11,13,16,18],solutionsummari:[],soluton:2,solv:[0,1,3,5,6,8,10,11,12,13,16,17],solve_expdec:2,solve_ode_deep_neural_network:2,solve_ode_neural_network:2,solve_pde_deep_neural_network:2,solveod:2,solveode_popul:2,solver:[2,7,8,9,10,11,16],some:[0,1,2,3,4,5,6,7,8,9,10,11,12,14,17,18],some_model:6,somehow:4,someth:[0,1,3,4,7,9,11,18],sometim:[0,1,11,12,13,14],soon:16,sophist:0,sopt:13,sort:[5,6,9,11,18],sound:[3,5],sourc:[0,1,3,6,15,16,18],space:[0,1,4,5,8,9,11,12,13,14,18],span:[0,3,5,9,11,16],spare:1,spars:[3,6,16],sparse_mtx:16,sparsecategoricalcrossentropi:3,sparsiti:10,spatial:[1,2,3,12],spdiag:[],speak:18,special:[6,7,10,12,13,16,18],specif:[0,1,2,3,4,5,6,7,8,9,11,12,15,16,18],specifi:[0,3,5,6,7,9,11,13,14,18],specifici:[0,10],spectacular:3,spectral:1,speech:[0,1,3,4,12],speed:[1,2,4,13],spend:18,sphere:0,spin:6,spite:0,spline:8,split:[1,3,4,5,6,8,9,10,11,14,18],splite:0,splitter:[1,10],spmatrix:[],spontan:18,spot:3,spread:[0,11,18],springer:20,spuriou:13,sqquar:5,sqrsignal:3,sqrt:[0,3,4,5,6,8,10,11,13,18],squar:[1,2,3,4,7,8,9,11,13,14,15,16,17,18],squarederror:10,squaredeuclidean:14,squash:12,squeez:[],srand:[],srtm:6,srtm_data_norway_1:6,sse4:[],stabil:5,stabl:[0,4,5,6,7,9,11,15],stack:[2,3,4],stacklevel:0,stage:[5,13],stai:[0,2,4,5,11],stand:[0,5,9,12],standard:[0,1,4,5,6,7,8,10,12,16,18],standard_basi:2,standardscal:[0,6,7,8,9,10,11],stanford:13,start:[0,1,2,3,4,5,6,8,9,10,11,12,13,14,16,17,18],start_box:[2,13],start_nod:[2,13],start_tim:14,startpoint:[],stat:6,state:[1,2,4,5,6,7,8,10,11,12,13,15,18],statement:[0,7,16],statist:[0,1,3,4,7,9,10,11,12,13,14,16,17,20],statu:[0,7,11],stavang:6,std:[0,4,6],stdev:[],stdout:[],steep:13,step:[0,1,2,4,6,7,9,10,11,12,13,14,16],step_fn:[7,12],step_length:13,steps_list:9,steps_per_epoch:[],stereo:3,stian:19,still:[0,2,3,5,6,11,13,18],stimuli:12,stk2100:20,stk3155:17,stk4021:20,stk4051:20,stk4155:17,stk5000:20,stk:20,stochast:[0,1,5,6,8,11,12,17],stock:4,stoke:12,stone:[0,7],stop:[1,4,7,9,11,13,14],storag:5,store:[0,1,2,3,6,11,13,18],storehaug:19,str:[1,3,4],straight:[0,6,8,13],straightforward:[0,2,3,5,6,8,9,10,13,16],strategi:[0,1,9],stratifi:6,streamtyp:[],strength:[0,5,14],stretch:11,strict:[8,13],strictli:[8,13],stride:[4,16],strike:6,string:1,stroke:7,strong:[3,6,9,10,12,16,18],strongli:[0,8,15,16],stronli:0,structur:[0,1,2,3,6,9,10,12,15],stuck:[1,13],student:[0,17,19,20],studi:[0,3,4,5,6,7,8,11,12,13,15,20],studier:[17,20],style:[0,7,9,16],sub:[9,12],subarg:[2,13],subdivid:[0,16],subfield:0,subject:[6,8,18],subplot:[0,1,3,4,6,7,8,9,10,13,14],subplots_adjust:[8,18],subprogram:16,subract:0,subroutin:0,subscript:1,subsequ:[1,4,5,6,12,16,18],subset:[1,6,9,12,13,15],subspac:[0,8,11],substanti:[9,10],substep:11,substitut:[3,6,12,16],subsubset:9,subtask:6,subtl:1,subtract:[0,4,5,6,11,13,16,18],subtre:9,subval:[2,13],succeed:[0,4],success:[3,7,9,13,18],successfulli:[4,9],sucess:[],sudo:[0,15],suffer:[0,1,2,5,10],suffici:[1,6,8,11,13],suggest:[1,13,20],suit:[8,12],suitabl:[0,18],sum:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],sum_:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,16,18],sum_i:[0,2,5,6,8,13],sum_j:6,sum_ja_:0,sum_k:[6,8,12,16],sum_m:3,sum_n:3,sum_nx_:3,summar:[5,6,9],summari:[1,3,4,10,17],summat:[0,3],sunni:9,superfici:3,superscript:[1,12],supervis:[0,5,6,7,9,12,15],supplement:7,support:[0,1,9,10,11,13,15,17],suppos:[0,5,6,7,8,10,11,12,13,16],suppress:[5,13],sure:[0,1,4,6],surf:6,surfac:[0,6],surpass:6,surpris:0,surround:[3,15],survei:[0,5,6],suyrzm0:17,svc:[8,9,10],svd:[0,6,11,17],svdinv:5,svm:[8,9,10,11],svm_clf:[8,10],swap:[],swapax:[],swath:5,sy:[3,4,13,14],symbol:[1,5,11,13,15,18],symmeteri:1,symmetr:[0,5,8,11,12,13,16],symmetri:6,sympi:[0,15],synonim:18,syntax:[1,13],syntaxerror:1,syrk:[],system:[0,1,3,4,6,7,9,10,12,13,15,16,20],systemat:[4,6],t0:[3,6,13],t1:[2,13],t2:2,t3:2,t:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19],t_0:[2,9,13],t_1:13,t_:2,t_b:10,t_i:[1,2,5,12],t_j:12,t_k:9,tabl:[9,18,19],tabul:0,tackl:4,tag:[2,3,4,5,6,7,12,13,14,16,18],taht:0,tail:18,tailor:[2,8,11],taiwan:0,take:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,16,18],taken:[0,1,3,6,10,13,16],tan:[2,3],tangent:[1,4,12,13],tanh:[1,4,7,8,12,13],tape:[],target:[0,1,3,4,5,6,7,8,9,10,11,12,13],target_nam:9,task:[0,1,3,6,9,11,12,14],tau:[3,5,18],tax:0,taylor:[2,13],taylornr:13,tc:8,td:[1,6,13],team:1,teaser:0,technic:[0,5,6,13],techniqu:[0,1,8,10,13,15,17,18,20],technolog:[0,1],tek5040:20,tell:[0,4,6,10,11,13,18],temp1:1,temp2:1,temp:1,temperatur:[0,9],temporarili:1,ten:3,tend:[3,5,6,8,9,10,12,13,14],tendenc:0,tension:6,tensor:3,tensorflow:[0,2,4,8,14,15,16,17,20],term1:[5,6,11],term2:[5,6,11],term3:[5,6,11],term4:[5,6,11],term:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18],termin:[0,4,5,9,10,13],terrain1:6,terrain:6,test:[3,4,5,6,7,8,9,10,13,16,18],test_acc:3,test_accuraci:[1,3],test_error:6,test_imag:[3,4],test_ind:6,test_input:4,test_label:[3,4],test_loss:3,test_pr:1,test_predict:1,test_rnn:4,test_scor:[7,10],test_siz:[0,1,3,5,6,10],test_split:9,testerror:[0,6],testi:4,testpredict:4,testx:4,text:[0,1,2,4,5,8,9,11,13,16,17,18,20],textbook:17,textual:9,textur:1,tf:[1,3,4,13,14],tfe_py_execut:[],th:[0,1,2,5,6,7,9,12,13,14,16,18],than:[0,1,2,3,4,5,6,7,9,10,11,12,13,15,18],thank:[4,6],theano:[1,15],thei:[0,1,2,3,4,5,6,7,8,9,11,12,13,16,18],them:[0,1,3,4,6,8,9,10,11,12,13,16],theme:0,themselv:[0,18],thenc:6,theorem:[2,6,7],theoret:[0,4,10],theori:[0,1,3,8,9,12,13,15,17,20],thereaft:[0,5,6,11,12,16],therebi:[0,5,7,11],therefor:[0,1,2,3,4,6,7,8,11,13,18],therein:11,thereof:[0,6,13],theta:[1,4,13,18],theta_:[1,13],theta_i:1,theta_k:[],theta_linreg:13,theta_t:13,thi:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],thing:[0,1,2,4,5,7,9,18],think:[0,1,3,4,6,9,12,13,14,18],third:[0,3,6,13],thirti:7,those:[0,3,5,6,8,9,10,11,16,17],though:[1,2,3,4,13,16,18],thought:[6,14,18],thousand:[0,1],thread:[],three:[0,1,3,5,6,8,9,12,16,17,18,19],threshold:[1,3,9,10,11,12,13],through:[0,1,2,3,4,5,6,8,11,12,13,14,15,16,18],throughout:[0,4,5,14,15,16,18],thu:[0,1,2,5,6,7,8,10,11,12,13,19],thumb:[0,6],thursdai:17,tibshirani:[6,17,20],tick_param:6,ticker:[6,13,18],tif:6,tight_layout:[1,7],tightli:11,tild:[0,5,6,11,18],till:[0,4,7,8,9,10,12,16],time:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18],timefunct:[],timeit:4,timer:4,tini:1,tip:3,titl:[0,1,2,3,4,6,7,8,9,10,13,18],tmp:13,tmp_log:[],tn:[2,3],to_categor:[1,3,4],to_categorical_numpi:1,to_numer:[0,6],to_str:[],todai:3,togeth:[0,3,6,8,11,15],toi:[13,14],told:13,toler:[2,6,14],tolist:4,tomographi:12,too:[0,2,4,5,6,9,11,13,18,20],took:8,tool:[0,1,3,6,13,15],toolbox:8,top:[0,3,4,5,6,9,10,14,15],top_node_typ:2,top_trac:2,topic:[0,5,6,7,8,15,17,20],topolog:[1,3,12],toposort:2,torkjellsdatt:19,toss:[10,18],total:[0,1,2,3,4,6,7,8,10,11,12,13,14,16,18,19],total_loss:4,totalclustervari:14,totalscatt:14,totalvari:[],toward:[1,2,7,12,13],town:0,tp:4,tpng:9,tpu:15,tqdm:6,tr:[],trace:[2,13],trace_stack:[2,13],traceback:[0,2,3,4,6,7,8,9,10,13,14],traceback_util:[],tracer:[2,13],track:[3,13,14,16],tract:0,tractabl:0,trade:[5,9],tradeoff:[0,5,17],tradit:[0,1,4,6],train:[2,3,5,6,8,9,10,11,12,13],train_accuraci:[0,1,3],train_dataset:4,train_end:[0,1],train_error:6,train_funct:[],train_imag:[3,4],train_ind:6,train_label:[3,4],train_pr:1,train_siz:[0,1,3],train_step:4,train_test_split:[0,1,3,5,6,7,9,10,11],train_test_split_numpi:[0,1],trainabl:[],trainable_vari:4,trained_model:6,trainerror:0,traini:4,training_checkpoint:4,training_dataset:4,training_gradi:13,training_gradient_fun:13,training_loss:13,trainingerror:6,trainpredict:4,trainscor:4,trainx:4,trait:0,trajectori:4,tran:[],transfer:9,transform:[0,5,6,7,8,9,10,11,12,13,15,16],transit:[6,12],translat:[1,4,6,10],transpos:[1,5,11,16],travers:[0,5],treat:[0,1,3,6,12,13,18],tree:[0,1,6,15,17],tree_clf:[9,10],tree_clf_:9,tree_clf_sr:9,tree_reg1:9,tree_reg2:9,tree_reg:9,trend:18,trevor:20,tri:[2,3,4,9,13],triain:0,trial:[0,2,4,6,13,18],triangl:13,triangular:16,trick:[3,4,8,11,13,18],trickier:18,tridiagon:16,trillion:15,trivial:[0,1,5,11,18],troubl:[0,8,12],truck:3,true_beta:6,true_divid:1,true_fun:6,tucker:8,tumor:[7,9],tumour:7,tunabl:1,tune:[4,9,13,16],tup:[],tupl:[2,13],turn:[0,1,5,6,7,8,9,10,11,12,13,16,18],tutori:[1,4],tv:2,tveito:2,tweak:[1,4,10,18],twice:13,twist:11,twister:[],two:[0,1,2,4,5,6,7,9,10,11,12,13,14,16,17,18,20],tx:13,tx_1:13,txt:4,ty:13,type:[0,1,3,6,8,10,13,16,18],typeerror:[2,13],typic:[0,1,2,3,4,5,7,9,10,12,13,18],u:[0,2,5,6,10,11,12,16],u_:16,u_i:12,u_m:10,ua:0,ubuntu:[0,15],uci:0,uio:[17,19,20],un:14,unari:16,unary_f:[2,13],unary_oper:[2,13],unary_to_nari:[2,13],unbalanc:[6,9],unbias:[0,5,6],uncent:6,uncertainti:[0,5],uncertitud:18,unchang:[1,3],uncorrel:[10,18],undefin:5,under:[0,1,5,6,10,13,15],underdetermin:0,underfit:[1,6],underflowproblem:5,undergo:5,undergradu:17,underli:[0,1,9,13,18],underset:[4,14],understand:[0,1,3,5,6,10,13,14,15],understood:[8,13],undesir:8,undetermin:[5,8],undo:4,unexpect:6,unexpected:18,unfair:6,unfortun:[1,8,9,10],unicode_liter:[8,9],uniform:[0,1,5,6,11,13,18],uniform_real_distribut:[],uniformli:[13,18],unifrompdf:18,unimport:13,union:[5,6],uniqu:[0,2,6,13,14,16],unique_cluster_label:14,unit:[0,1,3,4,5,10,12,18],unitari:[5,6,16],unitarili:16,uniti:18,univari:18,univers:[0,1,2,13,15,17,19],unix:1,unknow:[0,16],unknown:[0,1,3,4,5,6,8,10,16],unknowwn:12,unlabel:1,unless:[0,3,6,11,13],unlik:[1,3,8,13],unnecessarili:9,unord:3,unravel:1,unrol:[3,11],unseen:[0,7,9],unstabl:1,unsupervis:[0,1,4,12,15,17],unsymmetr:16,until:[1,2,4,9,12,13,14],untouch:0,unusu:12,up:[1,3,4,5,6,8,10,11,13,14,15,16,17,18],updat:[1,2,10,12,13,14],upload:[15,20],upon:[0,1,6,11,16],upper:[0,8,9,16],uppercas:16,upsampl:4,upscal:4,us:[4,5,6,8,9,10,11,12,14,16,17,18,20],usag:[0,8,15],usd10000:0,usd:0,use_bia:4,use_multiprocess:[],usecol:0,useless:1,user:[0,1,2,4,6,7,8,11,15,16],userwarn:6,usetex:18,usg:6,usr:18,usual:[0,3,4,7,12,13,14],ut:5,util:[0,1,3,4,6,7,10,14],ux:16,v0:18,v1:[3,4,14,18],v2:[3,4,14,18],v:[2,4,5,6,11,13,15],v_0:11,va:1,val:13,val_accuraci:3,val_loss:4,vale:2,valid:[0,1,4,7,9,10,13,15,17,18],validation_batch_s:[],validation_data:3,validation_freq:[],validation_split:4,validation_step:[],valu:[0,1,2,3,4,6,7,8,9,10,12,13,14,15,16,17],valuat:9,valueerror:[0,2],valy:4,van:0,vandenbergh:[8,13],vandermond:0,vanilla:[0,6,11,14],vanish:[1,4,13,18],var_x:18,varabl:8,varepsilon:[5,6],varepsilon_:[5,6],varepsilon_i:[5,6],vari:[0,1,3,5,6,10],variabl:[0,1,2,5,6,7,8,10,11,12,13,14,16],varianc:[0,1,5,7,9,10,11,13,14,15,16,17,18],variance_i:[5,11],variance_x:[5,11],variant:[0,1,6,8,12,13],variat:[3,4,11],varieti:[0,3,12,15],variou:[1,3,5,6,7,8,9,11,12,13,15,16,18],vartempvec:[],varvec:[],varydimens:4,vastli:3,vaue:1,vault:0,vdot:[2,13],vec:6,vector:[0,1,2,3,4,5,6,7,9,10,11,13,14,15,17],vector_mean:14,ventur:[0,8,15],verbos:[1,3,4],veri:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20],verifi:[3,11,16],versatil:8,versicolor:[8,9],version:[0,3,10,13,14,15,16,18],versu:1,vert:[0,1,5,6,7,8,9,11,13],vert_1:[5,6],vert_2:[5,6,11],via:[0,5,6,7,8,9,10,11,12,15,16,17,18],vidal:11,video:[0,1,12,15,17],view:[1,3,5,6,12,13,17,18,20],violat:8,virginica:9,viridi:[0,1,2,3],virtual:1,viscos:13,viscou:13,visibledeprecationwarn:2,vision:[0,3],visual:[0,3,11,12,15],visualis:1,viz:[6,8,18],vjp:[2,13],vjp_0:[],vjp_0_fun:[],vjp_1:[],vjp_1_fun:[],vjp_argnum:2,vjpfun:2,vjpmaker:[],vjpnode:[2,13],vmax:[1,6],vmc:[],vmin:[1,6],voic:3,volum:[0,3],vote:10,voting_clf:10,votingclassifi:10,votingsimpl:10,vrtx:17,vs:[0,4,6],vspace:[2,13],vstack:[5,11,16,18],vt:5,w1:8,w2:[8,11],w3:8,w:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,16,18],w_1:[8,16],w_1x_1:8,w_1x_:8,w_2:[8,16],w_2x_2:8,w_2x_:8,w_3:16,w_4:16,w_:[1,12],w_hidden:2,w_i:[1,2,10],w_ix_i:12,w_j:16,w_m:16,w_output:2,w_px_:8,w_px_p:8,wa:[0,1,3,4,5,6,7,10,11,12,13,14,16],wai:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,16,18],walk:9,walker:18,wang:0,want:[0,1,2,3,4,5,6,8,9,10,11,12,13,14,15,18],warn:[0,1,4,8],warrant:6,wast:3,watch:15,wave:3,wavelet:8,we:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],weak:[9,10,14],weather:[1,12],web:[15,17],webpag:17,websit:[6,16,17],wedg:[8,18],wednesdai:17,wee:11,week:[0,5,6,7],weekli:[15,20],weight:[0,1,2,3,6,7,9,10,12,13,18],weigth:2,welcom:[8,15],well:[0,1,2,3,4,5,6,7,8,9,10,12,13,15,16,17,18,20],went:8,were:[0,1,3,4,5,6,7,8,10,11,12,14,18],wessel:0,westbi:19,westby:19,what:[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18],whatev:3,when:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],whenev:[13,18],where:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19],wherea:[6,18],wherein:[1,12],whether:[0,3,5,7,9,18],which:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19],whichev:[1,3],white:9,who:[0,17],whole:[1,3,4,5,9,11,13],whose:[0,6,10,18],whow:[5,11],why:[0,1,3,6,13],wide:[0,1,3,6,7,12,15,16],widehat:6,width:[0,3,8,9],wieringen:0,win:10,wind:9,wing:19,winther:2,wiothout:6,wiscons:7,wisconsin:10,wisdom:6,wise:[0,1,5,12,13],wish:[0,2,5,7,8,11,13,14,16],with_std:0,wither:6,within:[0,2,3,4,7,9,12,13,14,18,20],withinclust:14,without:[0,1,5,6,8,9,11,12,13],won:0,wonder:8,word:[0,1,3,4,5,6,14,18],work:[0,1,4,6,7,8,9,13,15,17,18],worker:[],workshop:17,world:[0,8],worldwid:0,wors:[0,1,3,4,6],worst:[],worth:9,would:[0,1,3,5,6,7,8,9,10,11,12,13,16,18],wrap:[2,6,16,17],wrap_toco:[3,4,14],wrap_util:[2,13],wrapper:0,write:[0,1,2,3,5,6,7,8,12,13,16],written:[0,2,3,5,11,12,13,15,16,18],wrong:[1,8],wrongli:10,wrote:[5,11],wrt:[2,10,13],wth:10,www:[15,16,17,20],wx_1:8,x0:8,x1:[4,8,9,10,13],x1_exampl:8,x1d:8,x2:[8,9,10,13],x2d:[8,11],x2d_train:11,x2dsl:11,x3:8,x:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],x_0:[0,5,11,16],x_1:[0,2,5,6,7,8,9,10,11,13,16,18],x_2:[0,2,5,6,7,8,9,10,11,13,16,18],x_3:[8,16,18],x_4:16,x_:[0,2,3,5,6,8,10,11,13,14,16,18],x_center:11,x_data:1,x_data_ful:1,x_hidden:2,x_i:[0,1,2,5,6,7,8,9,10,11,12,13,14,16,18],x_input:2,x_ix_:0,x_iy_i:8,x_j:[0,2,8,9,12,18],x_jy_j:8,x_k:[12,14,16,18],x_l:18,x_m:[6,12,16,18],x_n:[0,2,3,6,8,11,12,13,16,18],x_new:[9,10],x_offset:6,x_output:2,x_p:[3,7,9],x_poli:9,x_poly10:9,x_pred:4,x_prev:2,x_reduc:11,x_scale:8,x_test:[0,1,3,5,6,7,9,10,11],x_test_own:6,x_test_scal:[0,6,7,9,10,11],x_tot:4,x_train:[0,1,3,4,5,6,7,9,10,11],x_train_mean:6,x_train_own:6,x_train_scal:[0,6,7,9,10,11],x_val:1,xarrai:15,xavier:1,xbnew:13,xcode:[0,15],xdclassiffierconfus:10,xdclassiffierroc:10,xg_clf:10,xgb:10,xgbclassifi:10,xgboost:9,xgboot:10,xgbregressor:10,xgparam:10,xgtree:10,xi:[8,13],xi_1:8,xi_:8,xi_i:8,xk:8,xla:15,xlabel:[0,1,2,3,4,5,6,7,8,9,10,13,18],xlim:[6,10],xm:9,xmesh:13,xnew:[0,13],xp:18,xpanda:0,xpd:[5,11],xplot:0,xs:9,xscale:0,xsr:9,xt_x:13,xtest:6,xtick:[3,6,8,9],xtrain:6,xu:0,xx:[0,16],xy:[0,6,8,16],xytext:8,xz:16,y1:4,y2:4,y3:4,y:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,16,18],y_0:[0,5,11,16],y_1:[0,5,8,9,11,13,16],y_1y_1:8,y_1y_1k:8,y_1y_2:8,y_1y_2k:8,y_1y_n:8,y_1y_nk:8,y_2:[0,5,8,9,11,16],y_2y_1:8,y_2y_1k:8,y_2y_2:8,y_2y_2k:8,y_3:[0,9,16],y_4:16,y_:[0,1,5,6,10,11,16],y_data:[0,1,5,6],y_data_ful:1,y_decis:8,y_fit:0,y_i:[0,1,5,6,7,8,9,10,11,12,13,16],y_if_:10,y_ix_:0,y_ix_i:[7,8,13],y_iy_jk:8,y_j:[6,8,12],y_k:12,y_m:16,y_model:[0,4,5,6],y_n:[8,13],y_ny_1:8,y_ny_1k:8,y_ny_2:8,y_ny_2k:8,y_ny_n:8,y_ny_nk:8,y_offset:6,y_plot:9,y_pred1:9,y_pred2:9,y_pred:[0,1,4,6,7,8,9,10],y_pred_rf:10,y_pred_tre:10,y_proba:[7,10],y_scaler:6,y_test:[0,1,3,4,5,6,7,9,10,11],y_test_onehot:1,y_test_predict:0,y_tot:4,y_train:[0,1,3,4,5,6,7,9,10,11],y_train_mean:6,y_train_onehot:1,y_train_predict:0,y_train_scal:6,y_val:1,ye:[3,6,7],year:[0,15],yet:[0,1,6,8,11,13],yhd5w:17,yi:13,yield:[0,2,5,6,8,10,12,13,14,16,18],yk:8,ylabel:[0,1,2,3,4,5,6,7,8,9,10,13,18],ylim:[3,6],ym:9,ymesh:13,yn:0,yo:[8,9,10],yoshua:[1,20],you:[0,1,2,3,4,5,6,8,9,10,11,13,15,16,18,20],young:0,your:[1,2,4,5,6,8,11,13,15,16],yourself:[11,13],youtu:17,youtub:15,ypred:6,ypredict2:13,ypredict:[0,13],ypredictlasso:5,ypredictol:[0,5],ypredictown:6,ypredictownridg:6,ypredictridg:[0,5,6],ypredictskl:6,ys:9,ytest:6,ytick:[3,6,8,9],ytild:[0,6],ytildelasso:5,ytildenp:0,ytildeol:[0,5],ytildeownridg:6,ytilderidg:[5,6],ytrain:6,yvqgvcsovpw:17,yx:16,yy:16,yz:16,z:[0,1,2,3,4,5,6,7,8,9,11,12,13,16,18],z_0:16,z_1:16,z_2:16,z_:[1,2,12,16],z_c:1,z_h:1,z_hidden:2,z_i:[1,12],z_j:[1,12],z_k:12,z_m:1,z_mod:9,z_o:1,z_output:2,zaman:18,zaxi:6,zero:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18],zeros_lik:4,zfill:4,zip:[2,4,6,13],zl:[],zm_h:0,zn:0,zone:0,zx:16,zy:16,zz:16},titles:["3. Linear Regression","14. Building a Feed Forward Neural Network","15. Solving Differential Equations  with Deep Learning","16. Convolutional Neural Networks","17. Recurrent neural networks: Overarching view","4. Ridge and Lasso Regression","5. Resampling Methods","6. Logistic Regression","8. Support Vector Machines, overarching aims","9. Decision trees, overarching aims","10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods","11. Basic ideas of the Principal Component Analysis (PCA)","13. Neural networks","7. Optimization, the central part of any Machine Learning algortithm","12. Clustering and Unsupervised Learning","Applied Data Analysis and Machine Learning","2. Linear Algebra, Handling of Arrays and more Python Features","Teaching schedule with links to material","1. Elements of Probability Theory and Statistical Data Analysis","Teachers and Grading","Textbooks"],titleterms:{"1":0,"10":17,"11":17,"12":17,"13":[],"14":17,"15":[],"16":17,"17":17,"18":17,"19":17,"2":[0,17],"20":[],"2021":[],"2022":19,"21":17,"22":17,"23":17,"24":17,"25":17,"26":17,"27":[],"28":17,"29":17,"3":[0,17],"30":17,"31":17,"34":17,"35":17,"36":17,"37":17,"38":17,"39":17,"4":[0,17],"40":17,"41":17,"4155":[],"42":17,"43":17,"44":17,"45":17,"46":17,"47":17,"5":[0,17],"6":[],"7":17,"8":[],"9":17,"case":[8,10,18],"do":1,"final":12,"function":[0,1,6,7,8,10,11,12,13,18],"import":[5,16],"new":4,A:[0,1,4,8,9],And:13,Ising:6,The:[0,1,2,3,5,6,7,8,9,11,12,15],With:4,activ:[1,12],actual:[],ad:[0,6],adaboost:10,adam:13,adapt:10,adjust:1,adversari:4,again:[3,9],aim:[8,9],algebra:16,algorithm:[9,10,11,12],algortithm:13,all:8,an:[0,4,10],analys:5,analysi:[0,5,6,11,15,18],analyt:0,ani:13,anoth:9,appli:15,approach:[0,8,14],approxim:12,architectur:1,arrai:16,assist:19,august:17,autocorrel:18,autograd:[2,13],automat:13,back:[1,11,12],background:15,bag:10,base:13,basic:[0,5,7,9,10,11,16],batch:1,bay:5,befor:11,better:8,bia:6,binari:1,binomi:[],bird:10,block:[],boost:10,bootstrap:[6,10],boston:0,breast:1,bring:12,build:[1,3,9],calcul:[],cancer:[1,7,9,11],cart:9,central:[13,15,18],chain:12,chang:10,chi:0,choos:1,cifar01:3,classic:11,classif:[1,9,10],classifi:8,clip:1,cluster:14,cnn:3,code:[0,1,2,5,9,11,12,14],collect:[1,3],compar:[2,10],complex:[0,6],complic:6,compon:11,comput:9,con:9,concept:18,conjug:13,continu:[],convex:[8,13],convolut:[3,12],correl:11,cost:[1,10],cours:[15,20],covari:[5,11,18],cross:6,cumul:[],data:[0,1,3,6,7,9,11,15,18],dataset:[1,3],decai:2,decis:[9,10],decomposit:[5,11,16],deep:[1,2],defin:1,definit:[],degre:0,demonstr:[],dens:0,deriv:[5,12],descent:[2,10,13],detail:3,develop:1,deviat:[],diagon:11,dice:[],differ:8,differenti:[2,13],diffus:2,dimension:[2,3,8],disadvantag:9,discret:18,disguis:[],distribut:[5,18],domain:18,down:1,dropout:1,element:[0,18],elimin:16,ensembl:10,entropi:9,environ:0,equat:[0,2,12],error:[0,10],euler:2,evalu:1,event:[],exampl:[0,1,2,3,4,6,7,8,9,10],exercis:[0,6],expect:18,experi:18,explor:0,exponenti:2,extrapol:4,extrem:10,ey:10,fall:19,famili:1,famou:16,featur:[9,16],feed:[1,12],fine:1,first:[4,12],fit:[0,10],forc:3,forest:10,forward:[1,2,12],fourier:3,frank:6,freedom:0,frequentist:0,from:[5,10,12],full:2,further:[3,5],fy:[],gan:4,gaussian:16,gd:13,gener:[4,9],geometr:11,gini:9,good:0,grade:19,gradient:[1,2,10,13],growth:2,ha:15,handl:16,hidden:2,hous:0,how:[],hyperparamet:1,hyperplan:8,i:1,id3:9,idea:11,implement:1,implic:5,improv:1,includ:13,increment:11,index:9,inform:19,input:2,instal:15,instructor:19,interpret:[5,11],introduc:11,introduct:[0,6,15,16],invers:[5,16],iter:10,its:[],jackknif:[],jungl:10,kera:[1,3],kernel:[8,11],lagrangian:8,lasso:[5,6],later:5,layer:[1,2,3,12],learn:[0,1,2,11,13,14,15],least:[5,6],level:10,librari:15,likelihood:7,limit:[1,13,18],linear:[0,8,13,16],link:[5,11,17,20],logist:[7,13],lu:16,machin:[0,8,13,15],main:18,make:[0,9,10],mani:[10,12],materi:17,math:5,mathemat:[3,5,8],matric:[5,16],matrix:[1,5,11,12,16],matter:0,mean:0,meet:[5,10,18],mercer:8,mersenn:[],method:[6,9,10,13],mlp:12,mnist:[3,4],model:[0,1,4,6,12],moment:[],momentum:13,moon:[8,9],more:[3,6,16],multilay:12,multipl:[1,3],multipli:8,name:[],network:[1,2,3,4,7,12],neural:[1,2,3,4,12],non:8,normal:[0,1],norwai:[],notat:12,novemb:17,now:[1,9],nuclear:0,nueral:7,number:[0,2,18],numer:[2,18],numpi:16,object:3,observ:[],obtain:11,octob:17,od:2,off:6,ol:[5,6,13],one:[2,12],oper:16,optim:[1,8,13,15],ordinari:[5,6],organ:0,oslo:20,other:[4,9,11,12,16],our:[0,4,5,11,13],outcom:15,output:2,overarch:[0,4,8,9],overview:10,own:[0,10,11],packag:16,part:[13,15],partial:2,pass:1,pca:11,pdf:18,perceptron:12,perform:[1,9],period:3,perspect:1,point:4,poisson:2,polynomi:3,popul:2,practic:13,pre:[1,3],predict:4,prerequisit:[3,15],princip:11,principl:3,pro:9,probabl:[5,18],problem:[1,2,13],procedur:9,process:[1,3],program:[2,13],project:6,prop:13,propag:[1,12],properti:[5,18],pseudo:[],python:[0,9,15,16],quick:8,ran0:[],random:[10,11,18],read:9,real:6,recip:[],recurr:[4,12],reduc:0,reduct:3,reformul:2,regress:[0,5,6,7,9,10,13],regular:1,relev:20,relu:1,remark:3,remind:[6,8],requir:[2,15],resampl:6,rescal:6,resourc:2,revisit:13,ridg:[0,5,6],rm:13,rng:[],rule:12,s:[8,10],sampl:11,schedul:17,schemat:9,scheme:2,scikit:[0,1,11],select:[],semest:19,septemb:17,set:[0,2,3,9,12],sgd:13,should:1,simpl:[0,4,9,13],singl:10,singular:[5,11],situat:[],soft:8,softmax:1,solv:2,solver:13,some:[13,16],specifi:2,split:0,squar:[0,5,6,10],standard:13,state:0,statist:[5,6,15,18],steepest:[10,13],stk3155:[],stochast:[13,18],superposit:3,supervis:1,support:8,svd:5,systemat:3,teach:[17,19],teacher:19,techniqu:[6,11],technolog:15,tensorflow:[1,3],test:[0,1],textbook:20,theorem:[5,8,11,12,18],theori:18,three:[],tip:13,togeth:12,top:1,toss:[],toward:11,trade:6,tradeoff:6,train:[0,1,4],transform:3,tree:[9,10],tune:1,two:[3,8,15],type:[2,4,12],uncorrel:[],uniform:[],univers:[12,20],unsupervis:14,up:[0,2,9,12],us:[0,1,2,3,7,13,15],valid:6,valu:[5,11,18],variabl:18,varianc:6,variou:0,vector:[8,12,16],view:[0,4,10],visual:[1,9],vs:3,wai:9,wave:2,week:17,weekli:17,what:0,which:1,why:[],wisconsin:7,write:[4,11],xgboost:10,your:[0,10]}})
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/statistics.html b/doc/LectureNotes/_build/html/statistics.html
index 7920500f5..a88abd420 100644
--- a/doc/LectureNotes/_build/html/statistics.html
+++ b/doc/LectureNotes/_build/html/statistics.html
@@ -7,8 +7,8 @@
     
     1. Elements of Probability Theory and Statistical Data Analysis — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
     
-    
     
+    
     
     
     
     
     
-    
+    
+    
+
+    
     
   
   
@@ -94,7 +100,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   About the course
  
@@ -116,7 +122,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Review of Statistics with Resampling Techniques and Linear Algebra
  
@@ -133,7 +139,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   From Regression to Support Vector Machines
  
@@ -170,7 +176,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Decision Trees, Ensemble Methods and Boosting
  
@@ -187,7 +193,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Dimensionality Reduction
  
@@ -204,7 +210,7 @@ const thebe_selector_output = ".output, .cell_output"
   
  
 
-

+

  
   Deep Learning Methods
  
@@ -281,7 +287,7 @@ const thebe_selector_output = ".output, .cell_output"
                 data-placement="left">.ipynb
         
         
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf
     

 

 
@@ -299,7 +305,7 @@ const thebe_selector_output = ".output, .cell_output"
         

 
         
-        

+        

             
             

                  Contents
@@ -361,7 +367,72 @@ const thebe_selector_output = ".output, .cell_output"
 

     

         

-        
+            
+            

+                
Elements of Probability Theory and Statistical Data Analysis

+                
+                

+                    
+                

+            

+            
               
     

     

-    

-      

-        
-          By Morten Hjorth-Jensen

-        
-            © Copyright 2021.

-      

-    

-  

+  

+    
+      By Morten Hjorth-Jensen

+    
+        © Copyright 2021.

+  

+
 
 
 
       

     

   
-  
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/teachers.html b/doc/LectureNotes/_build/html/teachers.html
index d4152f0ba..154486556 100644
--- a/doc/LectureNotes/_build/html/teachers.html
+++ b/doc/LectureNotes/_build/html/teachers.html
@@ -7,8 +7,8 @@
     
     Teachers and Grading — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/textbooks.html b/doc/LectureNotes/_build/html/textbooks.html
index 2f7d5d686..d54cefaf9 100644
--- a/doc/LectureNotes/_build/html/textbooks.html
+++ b/doc/LectureNotes/_build/html/textbooks.html
@@ -7,8 +7,8 @@
     
     Textbooks — Applied Data Analysis and Machine Learning
     
-  
-  
+  
+  
 
     
   
     
     
-  
+  
 
     
     
     
     
-    
     
     
+    
+    
+    
+    
     
-    
+    
     
+  
 
-  
   
 
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter1.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter1.ipynb
index ff5ff0bcf..6596a4b79 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter1.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter1.ipynb
@@ -343,16 +343,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter1_9_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -516,16 +515,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEWCAYAAAB1xKBvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAY/ElEQVR4nO3dfbQcd33f8fdHsgXIEAySCCBbkgMGxwkmwRcDLWmcAAfbbWLTwqlBQJvAUe3WaZpTEhucQFrwAdq0oZzCcRTq0sQCtwmEmsTgBlICOYbWVwkYDDVRjCUrLiDzDKIY2d/+Matotd5772/33t37oPfrnDl352Fnvvu7s/PZmdmZTVUhSdJC1i13AZKk1cHAkCQ1MTAkSU0MDElSEwNDktTEwJAkNTEwdMJJ8pEkrxzzuduSfDvJ+qWuS1rpDAytSknuSvLd3sb7i0nemeThE1rOc4/2V9WBqnp4Vd2/1MuSVjoDQ6vZz1TVw4EfA34cePXyljMdSU5qGTbqPKSFGBha9arqi8DNdMEBQJJnJrklydeTfCrJ+cOem+QJSf4kyVeS3JtkT5JTe+N+F9gGvL+3J/MrSXYkqSQnJbk0yezA/H4pyY29xw9J8htJDiT5UpJrkzxsrteR5OeTfC7J15LcnGR737hK8s+S/CXwl0nOT3IwyZVJvgj8597y3pLknl73liQP6T3/QdOP0dQ6wRkYWvWSnAZcCOzr9W8F/gh4A/Bo4FXAe5JsGfZ04I3A44EfBk4Hfh2gql4GHKC3J1NV/2bguTcCT05yZt+wlwDv6j1+M/AkuiB7IrAVeO0cr+ES4DXA3we2AB8D3j0w2SXAM4Cze/2P7b2+7cAu4Grgmb3lPRU4D/jVvucPTi+Npqrs7FZdB9wFfBv4FlDAh4FTe+OuBH53YPqbgX/Ue/wR4JVzzPcS4C8GlvPcvv4dveWd1Ou/Hnht7/GZvXo20gXRd4An9D33WcAX5ljuB4BX9PWvAw4D23v9Bfx03/jzgfuAh/YN+yvgor7+5wN3zTW9nd2onXsYWs0uqapH0G0MzwI294ZvB17UOxz19SRfB54NPG5wBkkek+SGJH+d5Jt0AbB5cLp5vAt4ce/xS4D3VdVhur2EjcDevho+2Bs+zHbgP/RN+1W60NnaN83dA885VFX/r6//8cD+vv79vWFzTS+NxMDQqldVfwq8E/iN3qC76fYwTu3rTqmqNw15+hvpPr2fU1U/ALyUbkP9N7NfYPH/A9ic5MfoguPo4ah7ge8CP9JXwyOrO0k/zN3APxmo+WFVdcs8tQz230MXPEdt6w1rfS3SvAwMrRVvAZ7X23BfD/xMkucnWZ/kob2TvqcNed4j6A5tfb137uOXB8Z/CfihuRZaVUeA3wf+Ld35gT/uDX8A+G3gN5M8BrpzK0meP8esrgVeneRHetM+MsmLGl53v3cDv5pkS5LNdOdLrh9xHtKcDAytCVV1CPgd4Neq6m7gYrqTyIfoPr3/MsPX938FPA34Bt2J8vcOjH8j3Ub460leNcfi3wU8F/i9XoAcdSXdifhP9A53fQh48hz1/wHdSfIbetN+hu5E/ijeAMwCtwGfBv68N0xaEqlyL1WStDD3MCRJTaYSGEkuSHJHkn1Jrhoy/vwk30jyyV439LvqkqTlM/HbA/Ru0vY24HnAQeDWJDdW1WcHJv1YVf29SdcjSRrPNPYwzgP2VdWdVXUfcAPdCUlJ0ioyjRuQbeX4C44O0t3eYNCzknyK7nvjr6qq2wcnSLKL3i0NTjnllHPPOuusCZQrSWvX3r17762quS4gndc0AiNDhg1+NevP6W6B8O0kFwHvo7vNwvFPqtoN7AaYmZmp2dnZwUkkSfNIsn/hqYabxiGpg3Q3dDvqNI6/+pSq+mZVfbv3+Cbg5N6FR5KkFWIagXErcGaSM5JsAC6lu8vn30jy2CTpPT6vV9dXplCbJKnRxA9JVdWRJFfQ3S10PXBdVd2e5LLe+GuBFwKXJzlCd/+dS8srCiVpRVm1V3p7DkOSRpdkb1XNjPNcr/SWJDUxMCRJTQwMSVITA0OS1MTAkCQ1MTAkSU0MDElSEwNDktTEwJAkNTEwJElNDAxJUhMDQ5LUxMCQJDUxMCRJTQwMSVITA0OS1MTAkCQ1MTAkSU0MDElSEwNDktTEwJAkNTEwJElNDAxJUhMDQ5LUxMCQJDUxMCRJTQwMSVITA0OS1MTAkCQ1MTAkSU0MDElSEwNDktTEwJAkNTEwJElNDAxJUpOpBEaSC5LckWRfkqvmme7pSe5P8sJp1CVJajfxwEiyHngbcCFwNvDiJGfPMd2bgZsnXZMkaXTT2MM4D9hXVXdW1X3ADcDFQ6b7BeA9wJenUJMkaUTTCIytwN19/Qd7w/5Gkq3AC4Br55tRkl1JZpPMHjp0aMkLlSTNbRqBkSHDaqD/LcCVVXX/fDOqqt1VNVNVM1u2bFmq+iRJDU6awjIOAqf39Z8G3DMwzQxwQxKAzcBFSY5U1fumUJ8kqcE0AuNW4MwkZwB/DVwKvKR/gqo64+jjJO8E/tCwkKSVZeKBUVVHklxB9+2n9cB1VXV7kst64+c9byFJWhmmsYdBVd0E3DQwbGhQVNU/nkZNkqTReKW3JKmJgSFJamJgSJKaGBiSpCYGhiSpiYEhSWpiYEiSmhgYkqQmqzcwPv1pWLcOduyAPXuWuxpJWvOmcqX3RNx3X/d3/37Ytat7vHPn8tUjSWvc6t3D6Hf4MFx99XJXIUlr2toIDIADB5a7Akla09ZOYGzbttwVSNKatjYCY+NGuOaa5a5Ckta01RsYGzZAAtu3w+7dnvCWpAlbvd+SespTYHZ2uauQpBPG6t3DkCRNlYEhSWpiYEiSmhgYkqQmBoYkqYmBIUlqYmBIkpoYGJKkJgaGJKmJgSFJamJgSJKaGBiSpCYGhiSpiYEhSWpiYEiSmhgYkqQmBoYkqYmBIUlqMpXASHJBkjuS7Ety1ZDxFye5Lcknk8wmefY06pIktZv4b3onWQ+8DXgecBC4NcmNVfXZvsk+DNxYVZXkHOC/AWdNujZJUrtp7GGcB+yrqjur6j7gBuDi/gmq6ttVVb3eU4BCkrSiTCMwtgJ39/Uf7A07TpIXJPk/wB8BPz9sRkl29Q5ZzR46dGgixUqShptGYGTIsAftQVTVH1TVWcAlwOuHzaiqdlfVTFXNbNmyZWmrlCTNaxqBcRA4va//NOCeuSauqo8CT0iyedKFSZLaTSMwbgXOTHJGkg3ApcCN/RMkeWKS9B4/DdgAfGUKtUmSGk38W1JVdSTJFcDNwHrguqq6PcllvfHXAv8AeHmS7wPfBf5h30lwSdIKkNW6XZ6ZmanZ2dnlLkOSVpUke6tqZpzneqW3JKmJgSFJamJgSJKajBQYSX4xyW/3Hv/aZEqSJK1Eo+5hPIFjV20/YolrkSStYKMGRgEPS/KjwOMnUI8kaYUaNTD+Hd2tPl4GvGbpy5EkrVSjXrj3Jrpbkf9eVX1zAvVIklaoUfcwdgJ3AW9M8s4lr0aStGKNGhinAmcCm4AvLnk1kqQVa9RDUm8E/ivwW97rSZJOLM17GEn+NvB+4GHAhUkumlhVkqQVZ5RDUo+mOxS1pdetjN+r2LMHduyAdeu6v3v2LHdFkrQmNR+Sqqr3J7moqm4CSPKzkyur0Z49sGsXHD7c9e/f3/UD7Ny5fHVJ0ho0yiGpvwu8JMlFRx9PrqxGV199LCyOOny4Gy5JWlKjnPTeTPfjRpuBB4BrJlLRKA4cGG24JGlszXsYVfVfgP8EPAN4DvBLkyqq2bZtow2XJI1t1OswXgl8DXgd8IWlL2dE11wDGzceP2zjxm64JGlJjRoYXwIeSndI6geXvpwR7dwJu3fD9u2QdH937/aEtyRNwKgX7u0Bvgf8CvChpS9nDDt3GhCSNAXNgTFwod7NdLc6lySdIEbZw9jCsZAIBoYknVBG/ZbUo4Cf6D3ePrGqJEkrjj/RKklq4k+0SpKa+BOtkqQmo3xLKsAlVXXVBOuRJK1Qo9yttpI8PcmLgW/0ht00scokSSvKqBfufQjYwPFfsZUknQAWDIwkH6+qZ0H31dokjwCeWFV/MfHqJEkrRstJ74cAJPn3AFX1LeDtkyxKkrTytARGkjwGeGnvxDd0v+stSTqBtJzDeDXwZ8C7gN9M8nlG/zquJGmVWzAwquqDwJMAkjwLeBHwignXJUlaYUb6llRVfRz4+IRqkSStYFM5tJTkgiR3JNmX5EEX/iXZmeS2XndLkqdOoy5JUruJB0aS9cDbgAuBs4EXJzl7YLIvAD9ZVecArwd2T7ouSdJoprGHcR6wr6rurKr7gBuAi/snqKpbquprvd5PAKdNoS5J0gimERhbOXZLdICDvWFzeQXwgWEjkuxKMptk9tChQ0tYoiRpIdMIjAwZNvS2Ikl+ii4wrhw2vqp2V9VMVc1s2bJlCUuUJC1k1HtJjeMgcHpf/2nAPYMTJTkHeAdwYVV9ZQp1SZJGMI09jFuBM5OckWQDcClwY/8ESbYB7wVeVlWfn0JNkqQRTXwPo6qOJLkCuBlYD1xXVbcnuaw3/lrgtcAm4O29u48cqaqZSdcmSWqXqtV5l/KZmZmanZ1d7jIkaVVJsnfcD+TeE0qS1MTAkCQ1MTAkSU0MDElSEwNDktTEwJAkNTEwJElNDAxJUhMDQ5LUxMCQJDUxMCRJTQwMSVITA0OS1MTAkCQ1MTAkSU0MDElSEwNDktTEwJAkNTEwJElNDAxJUhMDQ5LUxMCQJDUxMCRJTQwMSVITA0OS1MTAkCQ1MTAkSU0MDElSEwNDktTEwJAkNTEwJElNDAxJUhMDQ5LUxMCQJDWZSmAkuSDJHUn2JblqyPizknw8yfeSvGrsBe3ZAzt2wLp13d89exZRtSSp30mTXkCS9cDbgOcBB4Fbk9xYVZ/tm+yrwD8HLhl7QXv2wK5dcPhw179/f9cPsHPn2LOVJHWmsYdxHrCvqu6sqvuAG4CL+yeoqi9X1a3A98deytVXHwuLow4f7oZLkhZtGoGxFbi7r/9gb9jIkuxKMptk9tChQ8ePPHBg+JPmGi5JGsk0AiNDhtU4M6qq3VU1U1UzW7ZsOX7ktm3DnzTXcEnSSKYRGAeB0/v6TwPuWfKlXHMNbNx4/LCNG7vhkqRFm0Zg3AqcmeSMJBuAS4Ebl3wpO3fC7t2wfTsk3d/duz3hLUlLZOLfkqqqI0muAG4G1gPXVdXtSS7rjb82yWOBWeAHgAeS/Avg7Kr65kgL27nTgJCkCZl4YABU1U3ATQPDru17/EW6Q1WSpBXKK70lSU0MDElSEwNDktTEwJAkNTEwJElNDAxJUhMDQ5LUxMCQJDUxMCRJTQwMSVITA0OS1MTAkCQ1MTAkSU0MDElSEwNDktRk7QXGnj2wYwesW9f93bNnuSuSpDVhbQXGnj2waxfs3w9V3d9du46FhmEiSWObyi/uTc3VV8Phw8cPO3y4Gw5deBwdfzRMwJ91laQGa2sP48CBuYcvFCaL4Z6LpBPA2gqMbdvmHj5fmCzGQofBJGmNWFuBcc01sHHj8cM2buyGzxcmizHJPRdJWkHWVmDs3Am7d8P27ZB0f3fv7obPFyaLMak9F0laYdZWYEAXDnfdBQ880P09ekJ7vjBZjEntuUjSCrP2AmM+c4XJQuY7qT2pPRdJWmFOrMAY1PLtpoVOak9qz0WSVphU1XLXMJaZmZmanZ0dfwZHg6D/hPXGjQ/e2O/Y0YXEoO3bu70USVpFkuytqplxnnvi7mG0frvJk9qSBJzIgdEaBJ7UliTgRA6M1iDwpLYkASdyYLQGwWo7qT3p25R4GxTphLV2A2OhDdt8QTD4XBjv67jTNuwbXS99Kaxf373GxW7gvQ2KdGKrqlXZnXvuuTWn66+v2rixqtusdd3Gjd3w/mm2b69Kur9Hx7U8d3BZw+azHDZtOr7uYd18r2Uh27cPn+f27Q+ediW1S389ULV+/bG6l6qulfZ6pTkAszXmdnfZN/zjdvMGxkIbtvlCYdSN4nzhcv31x2/EN22a3Abq8ssXDov5XkuLZPj8kgfXNtguULVu3dJvqFvMVQ9UbdjQ/V8Ws6Ef9UPGXPMwcDRoAuuFgfHgFpl/wzZfKCy0Uez/Bx79pDpsPtdf322M5ttoj/vPH7aBmqvulg18q/naraVdWjaoo7xB5pt21HoWswc2V7ts2tT2Wi6/fO7/36ZNowWawXO85WiPpVrmUnwQGcLAqJp/72Dwk/V8obDQRnGuT6qD3bgbzZaVbaHXuVC3adOQ1ajBXCvw5Ze3t8uw/8dC8x/WBs95zvB5nnLK+PXMVddCWsM66WobfM2jhv3gPFrab9ge6VJt1CYx3/mWN9dee38tmzZ168Kw99xCNba8By+//Nh7fP36Y/+Tufb0j9a50Lz759uyLvRvm+abR980Kz4wgAuAO4B9wFVDxgd4a2/8bcDTFprncYHRsiFPjjXqqKGw0OGqxXT9G6fWDeYoG5hh3cknL90GYjHtMrin03o4cJTDb+PWNex1zvVmH+X196+Hoz53rnksNK9NmxZ+f4zzybXlfbcEn4iPW96wvfaTT17ch4QNG0Y7hznX+jfXh5jW9hnn+cPWjQXGnQPfq1qhgQGsB/4K+CFgA/Ap4OyBaS4CPtALjmcC/2uh+R4XGK1vuv4Vb6FzD8M2DIvdUM/1T1zodQxuMJciuMY9jzHMuO0yWEPrOZJRDjGN0w3bwG7Y0G2Yhq0zo+x5Dr7upWq7xcxr3HWidT1cqnVtvuUtdp04utfd8h5c6vXv6DZmkut0X3cuVNXKDYxnATf39b8aePXANL8FvLiv/w7gcfPN97jAaHmjDDv8Mequ81wr02JWoJaNR+tJ5VG6cc9jjNIuR09yz9UNtnlrYI77mvsPIczXLi3fNhusbZQ3fMuHhHH+f4v9IDHqOjHKobilMIkPbP3dfMvofw1Lvdz5DoVPoFtMYEz85oNJXghcUFWv7PW/DHhGVV3RN80fAm+qqj/r9X8YuLKqZgfmtQvY1ev9UeAzAOfAU07u9l6GKnjgAOy/F766mNeyGR69Dban7/qVo/N+PGydr4aWuuZ6Hd+H+26DTw/WMs4y55vnuOZrl9Pg9PVw0uBz7ocjn+z2Npvm0/+/OxfOHbXGwfmMM4+57IW9sPB6eFR/22+GR2+HM0Zd5lzrxLD2ewAeGPY/aJnnfMZ5vYvRurxx7YW9Le/BpVx3js57kq9r0F3AvVUZ57kLrkRLYFhhgynVMg1VtRvYDZBktsa84+JaY1scY1scY1scY1sck2Ts23xP40rvg8Dpff2nAfeMMY0kaRlNIzBuBc5MckaSDcClwI0D09wIvDydZwLfqKr/O4XaJEmNJn5IqqqOJLkCuJnuG1PXVdXtSS7rjb8WuInum1L7gMPAzzXMeveESl6NbItjbItjbItjbItjxm6LVfuLe5Kk6Vq7d6uVJC0pA0OS1GTFB0aSC5LckWRfkquGjE+St/bG35bkactR5zQ0tMXOXhvcluSWJE9djjqnYaG26Jvu6Unu710PtCa1tEWS85N8MsntSf502jVOQ8P745FJ3p/kU712aDlXuioluS7Jl5N8Zo7x4203x73ibxodE7qtyGrsGtvibwGP6j2+8ERui77p/oTuSxUvXO66l3G9OBX4LLCt1/+Y5a57mdrhNcCbe4+30F3EuWG5a59Qe/wd4GnAZ+YYP9Z2c6XvYZwH7KuqO6vqPuAG4OKBaS4Gfqc6nwBOTfK4aRc6BQu2RVXdUlVf6/V+gu56lrWoZb0A+AXgPcCXp1nclLW0xUuA91bVAYCqWovt0dIOBTwiSYCH0wXGkemWOR1V9VHmv7PFWNvNlR4YW4G7+/oP9oaNOs1aMOrrfAXdJ4i1aMG2SLIVeAFw7RTrWg4t68WTgEcl+UiSvUlePrXqpqelHf4j8MN0FwV/GvjFqnpgOuWtOGNtN6dxa5DFWLLbiqwBza8zyU/RBcazJ1rR8mlpi7fQ3Y/s/u4D5ZrV0hYn0d3/6DnAw4CPJ/lEVX1+0sVNUUs7PB/4JPDTwBOAP07ysar65oRrW4nG2m6u9MDwtiLHNL3OJOcA7wAurKqvTKm2aWtpixnghl5YbAYuSnKkqt43lQqnp/U9cm9VfQf4TpKPAk8F1lJgtLTDz9Hd5LSAfUm+AJwF/O/plLiijLXdXOmHpLytyDELtkWSbcB7gZetsU+PgxZsi6o6o6p2VNUO4PeBf7oGwwLa3iP/HfiJJCcl2Qg8A/jclOuctJZ2OEC3l0WSHwSeDNw51SpXjrG2myt6D6Mmd1uRVaexLV4LbALe3vtkfaTW4B06G9vihNDSFlX1uSQfpPs1yweAd1TV0K9brlaN68TrgXcm+TTdIZkrq+reZSt6gpK8Gzgf2JzkIPA64GRY3HbTW4NIkpqs9ENSkqQVwsCQJDUxMCRJTQwMSVITA0OS1MTAkCQ1MTAkSU0MDGmJJPmfSZ7Xe/yGJG9d7pqkpbSir/SWVpnXAf86yWOAHwd+dpnrkZaUV3pLS6j3a3YPB86vqm8tdz3SUvKQlLREkjwFeBzwPcNCa5GBIS2B3q+V7aH7JbPvJHn+MpckLTkDQ1qk3i3D3wv8y6r6HN1dUX99WYuSJsBzGJKkJu5hSJKaGBiSpCYGhiSpiYEhSWpiYEiSmhgYkqQmBoYkqcn/Bw2dTuFZsrmBAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkIAAAHFCAYAAAAe+pb9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAAA1jUlEQVR4nO3dfVxUdd7/8fcIAuoKJRChKFJ576YCadJF3mS4ZqW5bphlWdu10c1ekuu6ml15c1m0bm3arlp2o5eV5nrTzbZcJZUUZlup2K9HWtuahhqmaILdLMT4/f0xy8TAADPD3ADn9Xw8zkP5zjlnPmfOMOfN95w5X5sxxggAAMCC2oW6AAAAgFAhCAEAAMsiCAEAAMsiCAEAAMsiCAEAAMsiCAEAAMsiCAEAAMsiCAEAAMsiCAEAAMsiCAEWtGbNGtlsNucUHh6uxMRETZkyRZ999plP6ywsLJTNZlNhYaHXy+7du1cLFizQwYMH6z02ffp09ezZ06eaAKApBCHAwlavXq13331Xr7/+uu666y69/PLL+o//+A99/fXXQa1j7969Wrhwodsg9N///d964YUXgloPAOsID3UBAEJn4MCBSk9PlySNHDlSdrtd8+fP14svvqibb745xNU5nH/++aEuwWvff/+9oqKiZLPZ6j323XffqWPHjj6v2263q7q6WpGRkc0pEcC/0SMEwKkmFH311Vcu7Tt37tTVV1+tLl26KCoqSkOGDNFf/vKXJte3c+dOTZkyRT179lSHDh3Us2dPXXfddfriiy+c86xZs0a/+MUvJEmjRo1ynq5bs2aNpPqnxoYMGaLMzMx6z2W329WtWzdNmjTJ2VZVVaXFixerb9++ioyMVHx8vG6++WYdP37co9fDk+2uOc24detW3XLLLYqPj1fHjh1VWVmpkSNHauDAgXr77beVkZGhjh076pZbbpEklZSU6IYbbtA555yjyMhI9evXTw8//LDOnDnjXPfBgwdls9m0ZMkSLV68WCkpKYqMjNS2bds8qh9A0+gRAuB04MABSVLv3r2dbdu2bdPPfvYzDRs2TI899phiYmL0/PPPKzs7W999952mT5/e4PoOHjyoPn36aMqUKerSpYtKS0u1cuVKXXTRRdq7d6/i4uI0fvx4PfDAA7rnnnu0fPlypaamSmq4J+jmm2/WjBkz9Nlnn6lXr17O9q1bt+rLL7909mSdOXNGEyZMUFFRkWbPnq2MjAx98cUXmj9/vkaOHKmdO3eqQ4cODdbu7XbfcsstGj9+vJ555hl9++23at++vSSptLRUN9xwg2bPnq0HHnhA7dq10/Hjx5WRkaGqqir9z//8j3r27KlXXnlFs2bN0v79+7VixQqXdT/66KPq3bu3HnroIUVHR7tsN4BmMgAsZ/Xq1UaS+fvf/25++OEHc/r0afPqq6+ac88911x66aXmhx9+cM7bt29fM2TIEJc2Y4y58sorTWJiorHb7cYYY7Zt22YkmW3btjX4vNXV1eabb74xnTp1MsuWLXO2b9y4scFlb7rpJpOcnOz8uayszERERJh77rnHZb5rr73WJCQkOOtcv369kWQ2b97sMt8HH3xgJJkVK1Y0+hp5ut01r+WNN95Ybx0jRowwkswbb7zh0j5nzhwjybz33nsu7bfffrux2Wzm008/NcYYc+DAASPJnH/++aaqqqrRegH4hlNjgIVdfPHFat++vTp37qyf/exnOvvss/XSSy8pPNzRWfzPf/5Tn3zyia6//npJUnV1tXO64oorVFpaqk8//bTB9X/zzTf63e9+pwsuuEDh4eEKDw/XT37yE3377bfat2+fTzXHxsbqqquu0v/+7/86TyN9/fXXeumll3TjjTc6a3/llVd01lln6aqrrnKpe/DgwTr33HMb/XabL9v985//3O26zj77bI0ePdql7c0331T//v01dOhQl/bp06fLGKM333zTpf3qq6929jAB8C+CEGBha9eu1QcffKA333xTt912m/bt26frrrvO+XjNtUKzZs1S+/btXaY77rhDklRWVtbg+qdOnao///nPuvXWW/Xaa6/p/fff1wcffKD4+Hh9//33Ptd9yy236MiRIyooKJAkrV+/XpWVlS6nq7766iudOnVKERER9Wo/evRoo3X7st2JiYlu1+Wu/cSJE27bu3bt6nzck3UDaD6uEQIsrF+/fs4LpEeNGiW73a4nn3xSmzZt0uTJkxUXFydJmjt3rstFyLX16dPHbXt5ebleeeUVzZ8/X3PmzHG2V1ZW6uTJk82qe+zYseratatWr16tsWPHavXq1Ro2bJj69+/vnCcuLk6xsbF69dVX3a6jc+fODa7fl+129w2xhtpjY2NVWlpar/3LL790ef6m1g2g+QhCAJyWLFmizZs367777tOkSZPUp08f9erVSx9++KEeeOABr9Zls9lkjKn3Ne8nn3xSdrvdpa1mHk97icLCwjRt2jQtXbpURUVF2rlzpx5//HGXea688ko9//zzstvtGjZsmFe1N2e7PXHZZZcpLy9Pu3fvdl4cLjl66Gw2m0aNGuX35wTgHkEIgNPZZ5+tuXPnavbs2Vq3bp1uuOEGPf744xo3bpzGjh2r6dOnq1u3bjp58qT27dun3bt3a+PGjW7XFR0drUsvvVR/+MMfFBcXp549e+qtt97SU089pbPOOstl3oEDB0qSVq1apc6dOysqKkopKSmKjY1tsNZbbrlFv//97zV16lR16NBB2dnZLo9PmTJFzz33nK644grNmDFDQ4cOVfv27XX48GFt27ZNEyZM0DXXXNPg+n3dbk/cfffdWrt2rcaPH69FixYpOTlZf/vb37RixQrdfvvtLt/aAxBYXCMEwMWvf/1r9ejRQ4sWLZLdbteoUaP0/vvv66yzzlJubq7GjBmj22+/Xa+//rrGjBnT6LrWrVunUaNGafbs2Zo0aZJ27typgoICxcTEuMyXkpKipUuX6sMPP9TIkSN10UUX6a9//Wuj6+7du7cyMjJ0+PBhTZo0qd46w8LC9PLLL+uee+7Rli1bdM0112jixIl68MEHFRUVpZ/+9KeNrr85292U+Ph47dixQ6NHj9bcuXN15ZVX6rXXXtOSJUv0pz/9qVnrBuAdmzHGhLoIAACAUKBHCAAAWBZBCAAAWBZBCAAAWFaLCEIrVqxQSkqKoqKilJaWpqKiogbnLSwsdA7KWHv65JNPglgxAABoC0IehDZs2KDc3FzNmzdPxcXFyszM1Lhx41RSUtLocp9++qlKS0udE4MQAgAAb4X8W2PDhg1TamqqVq5c6Wzr16+fJk6cqLy8vHrzFxYWatSoUfr666/r3YsEAADAGyG9oWJVVZV27drlcvt9ScrKytKOHTsaXXbIkCH617/+pf79++vee+9t9E6slZWVqqysdP585swZnTx5UrGxsdy6HgCAVsIYo9OnT6tr165q184/J7VCGoTKyspkt9uVkJDg0p6QkKCjR4+6XSYxMVGrVq1SWlqaKisr9cwzz+iyyy5TYWGhLr30UrfL5OXlaeHChX6vHwAABN+hQ4eUlJTkl3W1iCE26vbKGGMa7Knp06ePy2CHw4cP16FDh/TQQw81GITmzp2rmTNnOn8uLy9Xjx49dOjQIUVHR/thCwAAQKBVVFSoe/fujQ6a7K2QBqG4uDiFhYXV6/05duxYvV6ixlx88cV69tlnG3w8MjKy3sCPkmMsJIIQAACtiz8vawnpt8YiIiKUlpamgoICl/aCggJlZGR4vJ7i4mIlJib6uzwAANDGhfzU2MyZMzVt2jSlp6dr+PDhWrVqlUpKSpSTkyPJcVrryJEjWrt2rSRp6dKl6tmzpwYMGKCqqio9++yz2rx5szZv3hzKzQAAAK1QyINQdna2Tpw4oUWLFqm0tFQDBw5Ufn6+kpOTJUmlpaUu9xSqqqrSrFmzdOTIEXXo0EEDBgzQ3/72N11xxRWh2gQAANBKhfw+QqFQUVGhmJgYlZeXc40QAACtRCCO3yG/szQAAECoEIQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBlEYQAAIBltYggtGLFCqWkpCgqKkppaWkqKiryaLl33nlH4eHhGjx4cGALBAAAbVLIg9CGDRuUm5urefPmqbi4WJmZmRo3bpxKSkoaXa68vFw33nijLrvssiBVCgAA2hqbMcaEsoBhw4YpNTVVK1eudLb169dPEydOVF5eXoPLTZkyRb169VJYWJhefPFF7dmzx+PnrKioUExMjMrLyxUdHd2c8gEAQJAE4vgd0h6hqqoq7dq1S1lZWS7tWVlZ2rFjR4PLrV69Wvv379f8+fM9ep7KykpVVFS4TAAAACENQmVlZbLb7UpISHBpT0hI0NGjR90u89lnn2nOnDl67rnnFB4e7tHz5OXlKSYmxjl179692bUDAIDWL+TXCEmSzWZz+dkYU69Nkux2u6ZOnaqFCxeqd+/eHq9/7ty5Ki8vd06HDh1qds0AAKD186xLJUDi4uIUFhZWr/fn2LFj9XqJJOn06dPauXOniouLddddd0mSzpw5I2OMwsPDtXXrVo0ePbrecpGRkYqMjAzMRgAAgFYrpD1CERERSktLU0FBgUt7QUGBMjIy6s0fHR2tjz76SHv27HFOOTk56tOnj/bs2aNhw4YFq3QAANAGhLRHSJJmzpypadOmKT09XcOHD9eqVatUUlKinJwcSY7TWkeOHNHatWvVrl07DRw40GX5c845R1FRUfXaAQAAmhLyIJSdna0TJ05o0aJFKi0t1cCBA5Wfn6/k5GRJUmlpaZP3FAIAAPBFyO8jFArcRwgAgNanzd1HCAAAIJQIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLJaRBBasWKFUlJSFBUVpbS0NBUVFTU47/bt23XJJZcoNjZWHTp0UN++ffXII48EsVoAANBWhIe6gA0bNig3N1crVqzQJZdcoscff1zjxo3T3r171aNHj3rzd+rUSXfddZcuvPBCderUSdu3b9dtt92mTp066Ve/+lUItgAAALRWNmOMCWUBw4YNU2pqqlauXOls69evnyZOnKi8vDyP1jFp0iR16tRJzzzzjEfzV1RUKCYmRuXl5YqOjvapbgAAEFyBOH6H9NRYVVWVdu3apaysLJf2rKws7dixw6N1FBcXa8eOHRoxYkSD81RWVqqiosJlAgAACGkQKisrk91uV0JCgkt7QkKCjh492uiySUlJioyMVHp6uu68807deuutDc6bl5enmJgY59S9e3e/1A8AAFq3FnGxtM1mc/nZGFOvra6ioiLt3LlTjz32mJYuXar169c3OO/cuXNVXl7unA4dOuSXugEAQOsW0oul4+LiFBYWVq/359ixY/V6iepKSUmRJP30pz/VV199pQULFui6665zO29kZKQiIyP9UzQAAGgzQtojFBERobS0NBUUFLi0FxQUKCMjw+P1GGNUWVnp7/IAAEAbF/Kvz8+cOVPTpk1Tenq6hg8frlWrVqmkpEQ5OTmSHKe1jhw5orVr10qSli9frh49eqhv376SHPcVeuihh/TrX/86ZNsAAABap5AHoezsbJ04cUKLFi1SaWmpBg4cqPz8fCUnJ0uSSktLVVJS4pz/zJkzmjt3rg4cOKDw8HCdf/75evDBB3XbbbeFahMAAEArFfL7CIUC9xECAKD1aXP3EQIAAAglghAAALAsghAAALAsghAAALAsghAAALAsghAAALAsghAAALAsghAAALAsghAAALCsZgWh9957T+vWrZMknTx5UocPH/ZLUQAAAMHg81hjCxYs0O7du/XJJ59o6tSp+v777zVlyhRt377dn/UBAAAEjM89Qi+++KJeeuklderUSZLUrVs3nT592m+FAQAABJrPQSgyMlKSZLPZJEmnTp1y/h8AAKA18DkI3X777crOzlZZWZkWL16szMxMzZo1y5+1AQAABJTNGGN8XXjfvn164403ZIzR6NGjNWDAAH/WFjAVFRWKiYlReXm5oqOjQ10OAADwQCCO3z5fLJ2fn6+srCz169fPL4UAAAAEm8+nxjZt2qQ+ffpo+vTpys/PV3V1tT/rAgAACDifg9DTTz+tTz/9VFOmTNHmzZvVt29f3Xzzzf6sDQAAIKB8PjUmSeHh4crIyNDx48f15ZdfqrCw0E9lAQAABJ7PPUJr1qzR+PHjNXToUH300UdauHChDhw44M/aAAAAAsrnHqF9+/Zp4cKFSk9P92c9AAAAQdOsr8+3Vnx9HgCA1qdFfH1+2rRpeuaZZ3TRRRe53EnaGCObzab333/fL4UBAAAEmtdBaMmSJZKka665Rtdff72z3RjjHIkeAACgNfD51Fhqaqp2797t0jZo0CB9+OGHfikskDg1BgBA69MiTo098cQTWrVqlT799FMNHTrU2X769GkNGTLEL0UBAAAEg9c9QuXl5fr6669177336v7773e2d+7cWV26dPF7gYFAjxAAAK1PII7fzf7W2FdffaXKykrnzz169Gh2UYFGEAIAoPUJxPHb5xsqvvjii+rXr5/OP/98jR07VikpKZowYYJfigIAAAgGn4PQfffdp/fee08XXHCB9u3bp3fffVeDBw/2Y2kAAACB5XMQioyMdHZLVVVVaejQoa3iG2MAAAA1fB5iIzExUadOndJVV12lK664QrGxsYqPj/dnbQAAAAHllyE2CgsLVVFRobFjxyoyMtIfdQUUF0sDAND6tIj7CLkzcuRIf6wGAAAgqLwOQnXHGKuLscYAAEBr4XUQ2rRpUyDqAAAACDqvvzWWnJzsnI4ePap33nlHycnJio6OVlhYWCBqBAAACAifrxFasGCBdu/erU8++URTp07Vd999pylTpmj79u3+rA8AACBgmnVn6ZdeekmdOnWSJHXr1k0VFRV+KwwAACDQmnVDRUnOC6dPnTqldu18Xh0AAEDQ+Zxcbr/9dmVnZ6usrEyLFy9WZmamZs2a5c/aAAAAAsrnGyr+8MMP+uc//6k33nhDxhiNHj1aAwYM8Hd9AcENFQEAaH1azA0Vz5w5o4suukh79uxRv379/FIIAABAsPl0aqxdu3YaOnSoPv74Y3/XAwAAEDQ+f33+/fff15AhQ9S7d2917NhRxhjZbDbuLA0AAFoNn4PQSy+95M86AAAAgs7jIDRmzBj95je/0bhx4yQ57jAtSXa7nTtKAwCAVsnja4R27typnj17SpIOHDjgbH/qqac0bdo0vxcGAAAQaB4HoaqqKnXu3FmSNGjQIH3++eeSpIyMDL3xxhuBqQ4AACCAPD41dsEFF+i9995T586d9e233+rUqVOSpM6dO+vkyZOBqg8AACBgPO4RuuOOO3TrrbdqxIgRGjRokFatWiVJKioqUkJCQsAKBAAACBSPe4RycnIUHx+vzz77TP/5n/+pKVOm6LzzzlNpaanuuuuuQNYIAAAQED4PsVFdXa0XXnhBVVVVmjJlSqv65hhDbAAA0Pq0mCE2JCk8PFy/+MUv/FIEAABAKPg8+jwAAEBrRxACAACWRRACAACWRRACAACWRRACAACWRRACAACWRRACAACWRRACAACWRRACAACW1SKC0IoVK5SSkqKoqCilpaWpqKiowXm3bNmiyy+/XPHx8YqOjtbw4cP12muvBbFaAADQVoQ8CG3YsEG5ubmaN2+eiouLlZmZqXHjxqmkpMTt/G+//bYuv/xy5efna9euXRo1apSuuuoqFRcXB7lyAADQ2vk86Kq/DBs2TKmpqVq5cqWzrV+/fpo4caLy8vI8WseAAQOUnZ2t++67z6P5GXQVAIDWJxDH75D2CFVVVWnXrl3Kyspyac/KytKOHTs8WseZM2d0+vRpdenSpcF5KisrVVFR4TIBAACENAiVlZXJbrcrISHBpT0hIUFHjx71aB0PP/ywvv32W1177bUNzpOXl6eYmBjn1L1792bVDQAA2oaQXyMkSTabzeVnY0y9NnfWr1+vBQsWaMOGDTrnnHManG/u3LkqLy93TocOHWp2zQAAoPULD+WTx8XFKSwsrF7vz7Fjx+r1EtW1YcMG/fKXv9TGjRs1ZsyYRueNjIxUZGRks+sFAABtS0h7hCIiIpSWlqaCggKX9oKCAmVkZDS43Pr16zV9+nStW7dO48ePD3SZAACgjQppj5AkzZw5U9OmTVN6erqGDx+uVatWqaSkRDk5OZIcp7WOHDmitWvXSnKEoBtvvFHLli3TxRdf7OxN6tChg2JiYkK2HQAAoPUJeRDKzs7WiRMntGjRIpWWlmrgwIHKz89XcnKyJKm0tNTlnkKPP/64qqurdeedd+rOO+90tt90001as2ZNsMsHAACtWMjvIxQK3EcIAIDWp83dRwgAACCUCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCyCEIAAMCywkNdQItgt0tFRVJpqZSYKGVmSmFhoa4KAAAEGEFoyxZpxgzp8OEf25KSpGXLpEmTQlcXAAAIOGufGnv5ZWnyZNcQJElHjjjat2wJTV0AACAorB2Efvc7yZj67TVtubmO02YAAKBNsnYQ+vLLhh8zRjp0yHHtEAAAaJOsHYQ8UVoa6goAAECAEISakpgY6goAAECAWDsIde0q2WzuH7PZpO7dHV+lBwAAbZK1g9Dvf+/4t24Yqvl56VLuJwQAQBtm7SB09dXSpk1St26u7UlJjnbuIwQAQJvGDRUnTZImTODO0gAAWBBBSHKEnpEjQ10FAAAIMmufGgMAAJZGEAIAAJZFEAIAAJZFEAIAAJZFEAIAAJZFEAIAAJZFEAIAAJZFEAIAAJbFDRUbY7dzx2kAANowglBDtmyRZsyQDh/+sS0pSVq2jDHIAABoIzg15s6WLdLkya4hSHL8PHmy43EAANDqEYTqstsdPUHGuH/cGCk31zEfAABo1QhCdRUV1e8JquvQIcd8AACgVSMI1XXkiH/nAwAALRZBqK7jx/07HwAAaLEIQnXFx/t3PgAA0GIRhOrq1s2/8wEAgBaLIFRXZqbjfkGN6d7dMR8AAGjVWkQQWrFihVJSUhQVFaW0tDQVNfKNrNLSUk2dOlV9+vRRu3btlJub699iwsIcN0202RxTbTVtS5dyh2kAANqAkAehDRs2KDc3V/PmzVNxcbEyMzM1btw4lZSUuJ2/srJS8fHxmjdvngYNGhSYoiZNkjZtqn/6KynJ0c6dpQEAaBNsxjR058DgGDZsmFJTU7Vy5UpnW79+/TRx4kTl5eU1uuzIkSM1ePBgLV261KvnrKioUExMjMrLyxUdHd3wjIw1BgBAi+Hx8dsLIR1rrKqqSrt27dKcOXNc2rOysrRjxw6/PU9lZaUqKyudP1dUVHi2YFiYNHKk3+oAAAAtS0hPjZWVlclutyshIcGlPSEhQUePHvXb8+Tl5SkmJsY5de/e3W/rBgAArVfIrxGSJFudi5KNMfXammPu3LkqLy93TocOHfLbugEAQOsV0lNjcXFxCgsLq9f7c+zYsXq9RM0RGRmpyMhIv60PAAC0DSHtEYqIiFBaWpoKCgpc2gsKCpSRkRGiqgAAgFWEtEdIkmbOnKlp06YpPT1dw4cP16pVq1RSUqKcnBxJjtNaR44c0dq1a53L7NmzR5L0zTff6Pjx49qzZ48iIiLUv3//UGwCAABopUIehLKzs3XixAktWrRIpaWlGjhwoPLz85WcnCzJcQPFuvcUGjJkiPP/u3bt0rp165ScnKyDBw8Gs3QAANDKhfw+QqEQiPsQAACAwArE8btFfGsMAAAgFAhCAADAsghCAADAsghCAADAsghCAADAsghCAADAsghCAADAsghCAADAsghCAADAsghCAADAsghCAADAsghCAADAsghCAADAssJDXUCrYbdLRUVSaamUmChlZkphYaGuCgAANANByBNbtkgzZkiHD//YlpQkLVsmTZoUuroAAECzcGqsKVu2SJMnu4YgSTpyxNG+ZUto6gIAAM1GEGqM3e7oCTKm/mM1bbm5jvkAAECrQxBqTFFR/Z6g2oyRDh1yzNcUu10qLJTWr3f8S3gCACDkuEaoMaWl/pmPa4wAAGiR6BFqTGKiZ/Odc07DvT1cYwQAQItlM8bdBTBtW0VFhWJiYlReXq7o6OiGZ7TbpZ49HaHF3ctks0ldukgdOrjv7ZkwwbF8Q6fXbDbHvAcO8FV8AACa4PHx2wv0CDUmLMwRaCRHaKnNZnOEoxMnGu7tuf9+/11jBAAA/I4g1JRJk6RNm6Ru3Vzbu3WTYmPdL1PTe1QTopri6bVIAADAr7hY2hOTJjlOc9W+s7TdLo0Z0/AyxkgnT3q2fk+vRQIAAH5FEPJUWJg0cuSPP69f79lyXbpIX3/d8DVGSUmO4ToAAEDQcWrMV5724syY4fjX3TVGkrR0KRdKAwAQIgQhX2VmOnpz6gacGjab1L27NG+e+2uMkpIc7dxHCACAkOHUmK9qvlE2efKP3yCrUbe3x901RoxeDwBAyBGEmqPmG2Xu7hq9dKlrb0/da4wAAEDIEYSaw253XAz94IPS8eNSfLzjFBi9PQAAtAoEIV+5Gz8sLk664QbH/wlDAAC0eFws7YuGxg8rK3OcEhs1yjG0BuOIAQDQohGEvGW3O3qCmhqijUFVAQBo8QhC3ioqanz8sBo1QSk313U0egAA0GIQhLzlzbhgDKoKAECLRhDyli/jgjGoKgAALRJByFtN3VHaHQZVBQCgRSIIeavmjtKeqBlmg0FVAQBokQhCvqi5o3RSUsPzMKgqAAAtHkHIV5MmSQcPStu2Ob4ZFh/v+jiDqgIA0OLZjGnqhjhtT0VFhWJiYlReXq7o6Gj/rNRuZ1BVAAACKBDHb4bY8BcGVQUAoNXh1BgAALAseoSsjNN5AACLIwhZ1ZYtjjHTag8XkpTkuDUAF3gDACyCU2NWtGWLY0DYumOmMVAsAMBiCEKhYLdLhYXS+vWOf4M5KKvd7ugJcvdlQQaKBQBYDEEo2LZskXr2lEaNkqZOdfzbs2fwemGKiur3BNXGQLEAAAshCAVTSzgl5ekAsAwUCwCwAIJQsLSUU1KeDgDLQLEAAAsgCAVLSzkllZnp+HZYzVhodXk6UGwor3MCAMBPCELB0lJOSYWFOb4iL9UPQ54OFBvq65wAAPATglCwtKRTUpMmOQaE7dbNtd2TgWJbwnVOAAD4CYOuNmfQNm/uzGy3O3pNjhxxf52QzeYIIgcOBO/uzt7eWbpmGxo6xReKbWhLuNM3ADSKQVdbEm/vzFxzSmryZEdgqB2GPD0l5W/eDhTrzXVODEDrHe70DQAhwakxX/h6esiTU1LBugjZl+cJ1nVOwbwQuyVc9M3pRgAIGU6Nedu15o/TQw2dAglWr4Cvz1NY6LgwuinbtvneI+RLbU2dUgr1690YTjf6V2s8vdgaawZCJBCnxmQsqLy83Egy5eXl3i+8bZsxjpNAjU/btnm33s2bjbHZ6q/HZnNMmzd7X6s3z1PzXI09T3W1MUlJjS/fvbtjPn/W1thrsHmzo6ba8ycl/ThvQ4//9reeP1d1tWN/rlvn+Neb7Wtq2UC8n5pTb7D5s9am3gstUbBqbk3vCaARzTp+N4Ag5K116zw7cK1b5/k6awJGQ+tqbsDw9Hmkpp+nJqzUDRHNDWy+vAZNBaeGwk5TU+3nas6BypNlvXk/1RzMnn3WmEcecfxb96AWijDg60HWn7UG6w+JhvjyGgTzj59AvSe83e6WHshaen0gCPlLi+sRClQvk7+ep+6Hw1/+Uv+DtXv35n2welrbvfc65q2sbDo4hYV5H4JqTwsX+n6g8vQg5+l2L1zY8PbWHNT8cWCtva9ff90x1T0o1J7HXV2eHGT9GQKC9YdEQ8+9cKExXbp49xoEq2ZvX2dvgoC3Aasl9Ng1tn3u6ouLc3zewTsBDJQEIT9p1gsZiNNDvvYyeftme/ZZz57n2Wd/XKahD6+NG/37Rvf0Naj9AdWckOPJVPfg5ul+9uQgl5TkCBnPPtv4tthsxsTGetazFRvbvAPr5s3GdOvW8DqSkoyZNcuY+PjG62gqzFRXN/48tV+fmvdXZWXD77dg/SHh7vVq6DVv6jUIZM21ew6bem/Vfk+4+13v0sUR9Kqr6wdgb7bb00AWyB6ZxoJYY5cMSMZkZ9d/LzbWM+sPvrwWnixTXe343brnHmNuuMHx7+uv+69+TwJvM7at/MknDUHID5qdKP19esiXD0Vf/rp65BHPnueRR1y309sPeV94+hq0tOn11wO3LTWvfWMBx9uppket7gfP5s3+fV0aC14NHUQbm9q1a/i9npvr2Tq8OV1dm7sP7Y0bm/caeBr877rL+9ONjYVMd9O2bU0HgZ/8xLv3YWzsjwdXT3u/Nm5s/DOtOSGpqc+yn/zE821rqKfZX7UaY8zzzxsTE9Pw+t09h7ue+rrLNBbeY2Mdv5tr1xpz553G3HGH41hQWdn817lm+stfGu55y81tvOf53+/rcsm0ySC0fPly07NnTxMZGWlSU1PN22+/3ej8hYWFJjU11URGRpqUlBSzcuVKr57PL11r7namr6eHvO1l8jWgeNMjFOzTDU29Bi116tKl/uvtbe9WQ1PNB1Mg6q77oe3PsFV7qtuj4e/A9dvf+l6LJ9z9nkdHe/c+dfe83oZlT083+vIaPvts09cONud91pz3cO3r/Xw9rebJtZH+mppbqzHGTJjQ+PoXLnSEhqZ6Zmu/fjW9Xr5sU1iYY5s8eZ2b+hyp+wdNQ+8Zd6/hv6c2GYSef/550759e/PEE0+YvXv3mhkzZphOnTqZL774wu38n3/+uenYsaOZMWOG2bt3r3niiSdM+/btzaZNmzx+Tr+dY/T3N1486WVqTkDxpucpFKcbGnoNfP1Aau41Qt48V+0POX/2bnna2+FLzTV1v/564F6b2r0wgTggefLBKjneC978ZVv7/ejP16Dua+Hp+j053ehrmPW0p9jX91kg1+1Jz3RL6G32tNbf/CYwz52U5H1PYd2pqTAUqD/a6kxtMggNHTrU5OTkuLT17dvXzJkzx+38s2fPNn379nVpu+2228zFF1/s8XMG4mIrv/Ckl6k5AcWbb40F4ttxvr4Gvn7o1HxrzF249PcHTe3w2dQ1MN6s15O/+ppb95w5gXuO2u/DUB+QvL0Fgb9CW0PP623wb+yPHF/CbM361q4N7X5pzuRJz7S/emgDXWtlpefBPhRTY39MVFc3fk2lH6dABKGQ3lm6qqpKu3btUlZWlkt7VlaWduzY4XaZd999t978Y8eO1c6dO/XDDz8ErNagmDRJOnjQcUPCdesc/x444Hpzv+bc3blmmA+bzf3I8zbbj8N8hGqQ2Nqvwb33erZMfLzrzzV36l6ypOE7eS9c6JdyJTl+PWuGFpEcr9+vfuWf9R4/7ti+uvvLndhY9/u2sfUfOiTt2tW8Ot2x2aTu3R03B6zR3DuON5c3z9/UcDKeqvsa1NbQneYbUvd9VlthoXd11R7W58QJ75ZtSRp7TWoEYyBrTzRV64oV0pkzwa3JG3a7o0Z3ioqkkyeDW48fhXSssbKyMtntdiUkJLi0JyQk6OjRo26XOXr0qNv5q6urVVZWpkQ3b/rKykpVVlY6fy4vL5fkuENli5Sa+uP/v/3W9TFP76QZHS25274xY6S1a6Xf/U768ssf27t2lR580PF4RYU0aJCjrfY8dXXr5pgvEK9jaqpj3U8/3XQNe/ZI770nHT0qnXuulJHhCCMVFY7t+X//T9qxw/VxSXr88abXff/90t13S19/3XTN+/f/uO88Pbh5YvJkaeXKpudbutTxb91925T27X0qq1HGSA884Pr+9dddYH3V0O+EO/v3++c5674GddV+f778srRqlWe11f6MkKRan28eqf37vmGDd8u2RO5ekxqefJYFU0O17tsX/Fq8tW+f+98hf/2+eKDm2Y0x/lup3/qWfHDkyBEjyezYscOlffHixaZPnz5ul+nVq5d54IEHXNq2b99uJJnS0lK3y8yfP9/o391pTExMTExMTK172r9/v3+CiDEmpD1CcXFxCgsLq9f7c+zYsXq9PjXOPfdct/OHh4crNjbW7TJz587VzJkznT+fOnVKycnJKikpUUxMTDO3As1RUVGh7t2769ChQ/4bNwY+YV+0HOyLloX90XKUl5erR48e6tKli9/WGdIgFBERobS0NBUUFOiaa65xthcUFGjChAlulxk+fLj++te/urRt3bpV6enpat9AF39kZKQiIyPrtcfExPCmbiGio6PZFy0E+6LlYF+0LOyPlqNdO/9d4hzSi6UlaebMmXryySf19NNPa9++fbr77rtVUlKinJwcSY7enBtvvNE5f05Ojr744gvNnDlT+/bt09NPP62nnnpKs2bNCtUmAACAViqkPUKSlJ2drRMnTmjRokUqLS3VwIEDlZ+fr+TkZElSaWmpSkpKnPOnpKQoPz9fd999t5YvX66uXbvq0Ucf1c9//vNQbQIAAGilQh6EJOmOO+7QHXfc4faxNWvW1GsbMWKEdu/e7fPzRUZGav78+W5PlyG42BctB/ui5WBftCzsj5YjEPvCZow/v4MGAADQeoT8GiEAAIBQIQgBAADLIggBAADLIggBAADLarNBaMWKFUpJSVFUVJTS0tJU1NigfJLeeustpaWlKSoqSuedd54ee+yxIFXa9nmzL7Zs2aLLL79c8fHxio6O1vDhw/Xaa68Fsdq2zdvfixrvvPOOwsPDNXjw4MAWaCHe7ovKykrNmzdPycnJioyM1Pnnn6+nn346SNW2bd7ui+eee06DBg1Sx44dlZiYqJtvvlknWvPgtS3E22+/rauuukpdu3aVzWbTiy++2OQyfjl2+22wjhbk+eefN+3btzdPPPGE2bt3r5kxY4bp1KmT+eKLL9zO//nnn5uOHTuaGTNmmL1795onnnjCtG/f3mzatCnIlbc93u6LGTNmmN///vfm/fffN//4xz/M3LlzTfv27c3u3buDXHnb4+2+qHHq1Clz3nnnmaysLDNo0KDgFNvG+bIvrr76ajNs2DBTUFBgDhw4YN577z3zzjvvBLHqtsnbfVFUVGTatWtnli1bZj7//HNTVFRkBgwYYCZOnBjkytue/Px8M2/ePLN582YjybzwwguNzu+vY3ebDEJDhw41OTk5Lm19+/Y1c+bMcTv/7NmzTd++fV3abrvtNnPxxRcHrEar8HZfuNO/f3+zcOFCf5dmOb7ui+zsbHPvvfea+fPnE4T8xNt98X//938mJibGnDhxIhjlWYq3++IPf/iDOe+881zaHn30UZOUlBSwGq3IkyDkr2N3mzs1VlVVpV27dikrK8ulPSsrSzt27HC7zLvvvltv/rFjx2rnzp364YcfAlZrW+fLvqjrzJkzOn36tF8H2LMiX/fF6tWrtX//fs2fPz/QJVqGL/vi5ZdfVnp6upYsWaJu3bqpd+/emjVrlr7//vtglNxm+bIvMjIydPjwYeXn58sYo6+++kqbNm3S+PHjg1EyavHXsbtF3Fnan8rKymS32+uNXp+QkFBv1PoaR48edTt/dXW1ysrKlJiYGLB62zJf9kVdDz/8sL799ltde+21gSjRMnzZF5999pnmzJmjoqIihYe3uY+KkPFlX3z++efavn27oqKi9MILL6isrEx33HGHTp48yXVCzeDLvsjIyNBzzz2n7Oxs/etf/1J1dbWuvvpq/elPfwpGyajFX8fuNtcjVMNms7n8bIyp19bU/O7a4T1v90WN9evXa8GCBdqwYYPOOeecQJVnKZ7uC7vdrqlTp2rhwoXq3bt3sMqzFG9+L86cOSObzabnnntOQ4cO1RVXXKE//vGPWrNmDb1CfuDNvti7d6/+67/+S/fdd5927dqlV199VQcOHHAOFI7g8sexu839mRcXF6ewsLB6af7YsWP1kmONc8891+384eHhio2NDVitbZ0v+6LGhg0b9Mtf/lIbN27UmDFjAlmmJXi7L06fPq2dO3equLhYd911lyTHwdgYo/DwcG3dulWjR48OSu1tjS+/F4mJierWrZtiYmKcbf369ZMxRocPH1avXr0CWnNb5cu+yMvL0yWXXKLf/va3kqQLL7xQnTp1UmZmphYvXswZhCDy17G7zfUIRUREKC0tTQUFBS7tBQUFysjIcLvM8OHD682/detWpaenq3379gGrta3zZV9Ijp6g6dOna926dZx39xNv90V0dLQ++ugj7dmzxznl5OSoT58+2rNnj4YNGxas0tscX34vLrnkEn355Zf65ptvnG3/+Mc/1K5dOyUlJQW03rbMl33x3XffqV0710NnWFiYpB97IxAcfjt2e3VpdStR83XIp556yuzdu9fk5uaaTp06mYMHDxpjjJkzZ46ZNm2ac/6ar+DdfffdZu/eveapp57i6/N+4u2+WLdunQkPDzfLly83paWlzunUqVOh2oQ2w9t9URffGvMfb/fF6dOnTVJSkpk8ebL5+OOPzVtvvWV69eplbr311lBtQpvh7b5YvXq1CQ8PNytWrDD79+8327dvN+np6Wbo0KGh2oQ24/Tp06a4uNgUFxcbSeaPf/yjKS4udt7KIFDH7jYZhIwxZvny5SY5OdlERESY1NRU89Zbbzkfu+mmm8yIESNc5i8sLDRDhgwxERERpmfPnmblypVBrrjt8mZfjBgxwkiqN910003BL7wN8vb3ojaCkH95uy/27dtnxowZYzp06GCSkpLMzJkzzXfffRfkqtsmb/fFo48+avr37286dOhgEhMTzfXXX28OHz4c5Krbnm3btjX6+R+oY7fNGPryAACANbW5a4QAAAA8RRACAACWRRACAACWRRACAACWRRACAACWRRACAACWRRACAACWRRACAACWRRACAACWRRACAACWRRAC0OqtX79eUVFROnLkiLPt1ltv1YUXXqjy8vIQVgagpWOsMQCtnjFGgwcPVmZmpv785z9r4cKFevLJJ/X3v/9d3bp1C3V5AFqw8FAXAADNZbPZdP/992vy5Mnq2rWrli1bpqKiIkIQgCbRIwSgzUhNTdXHH3+srVu3asSIEaEuB0ArwDVCANqE1157TZ988onsdrsSEhJCXQ6AVoIeIQCt3u7duzVy5EgtX75czz//vDp27KiNGzeGuiwArQDXCAFo1Q4ePKjx48drzpw5mjZtmvr376+LLrpIu3btUlpaWqjLA9DC0SMEoNU6efKkLrnkEl166aV6/PHHne0TJkxQZWWlXn311RBWB6A1IAgBAADL4mJpAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWf8fCEVbuI4i/XEAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter1_17_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -585,27 +583,26 @@
      "output_type": "stream",
      "text": [
       "The intercept alpha: \n",
-      " [1.99274513]\n",
+      " [2.02408959]\n",
       "Coefficient beta : \n",
-      " [[5.03570747]]\n",
-      "Mean squared error: 0.27\n",
-      "Variance score: 0.88\n",
+      " [[4.92811987]]\n",
+      "Mean squared error: 0.25\n",
+      "Variance score: 0.89\n",
       "Mean squared log error: 0.01\n",
-      "Mean absolute error: 0.42\n"
+      "Mean absolute error: 0.39\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter1_19_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -825,16 +822,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter1_33_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
@@ -842,7 +838,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.005000000000000011\n"
+      "0.005\n"
      ]
     }
    ],
@@ -1246,9 +1242,9 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Read the experimental data with Pandas\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m Masses = pd.read_fwf(infile, usecols=(2,3,4,6,11),\n\u001b[0m\u001b[1;32m      3\u001b[0m               \u001b[0mnames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'N'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Z'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'A'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Element'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Ebinding'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m               \u001b[0mwidths\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m13\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m9\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m9\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m12\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m               \u001b[0mheader\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m39\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m                     \u001b[0mstacklevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstacklevel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    310\u001b[0m                 )\n\u001b[0;32m--> 311\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    312\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36mread_fwf\u001b[0;34m(filepath_or_buffer, colspecs, widths, infer_nrows, **kwds)\u001b[0m\n\u001b[1;32m    869\u001b[0m                         \u001b[0mlen_index\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex_col\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    870\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnames\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mlen_index\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolspecs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 871\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Length of colspecs must match length of names\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    872\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    873\u001b[0m     \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"colspecs\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcolspecs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "Input \u001b[0;32mIn [8]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Read the experimental data with Pandas\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m Masses \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_fwf\u001b[49m\u001b[43m(\u001b[49m\u001b[43minfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43musecols\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m4\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m6\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m11\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m              \u001b[49m\u001b[43mnames\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mN\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mZ\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mA\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mElement\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mEbinding\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      4\u001b[0m \u001b[43m              \u001b[49m\u001b[43mwidths\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m4\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m13\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m11\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m11\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m9\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m11\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m9\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m12\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m11\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m              \u001b[49m\u001b[43mheader\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m39\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[43m              \u001b[49m\u001b[43mindex_col\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;66;03m# Extrapolated values are indicated by '#' in place of the decimal place, so\u001b[39;00m\n\u001b[1;32m      9\u001b[0m \u001b[38;5;66;03m# the Ebinding column won't be numeric. Coerce to float and drop these entries.\u001b[39;00m\n\u001b[1;32m     10\u001b[0m Masses[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mEbinding\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mto_numeric(Masses[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mEbinding\u001b[39m\u001b[38;5;124m'\u001b[39m], errors\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcoerce\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/pandas/util/_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments..decorate..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    305\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[1;32m    306\u001b[0m     warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m    307\u001b[0m         msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39marguments),\n\u001b[1;32m    308\u001b[0m         \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[1;32m    309\u001b[0m         stacklevel\u001b[38;5;241m=\u001b[39mstacklevel,\n\u001b[1;32m    310\u001b[0m     )\n\u001b[0;32m--> 311\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/pandas/io/parsers/readers.py:871\u001b[0m, in \u001b[0;36mread_fwf\u001b[0;34m(filepath_or_buffer, colspecs, widths, infer_nrows, **kwds)\u001b[0m\n\u001b[1;32m    869\u001b[0m                     len_index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(index_col)\n\u001b[1;32m    870\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(names) \u001b[38;5;241m+\u001b[39m len_index \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(colspecs):\n\u001b[0;32m--> 871\u001b[0m             \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLength of colspecs must match length of names\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    873\u001b[0m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolspecs\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m colspecs\n\u001b[1;32m    874\u001b[0m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minfer_nrows\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m infer_nrows\n",
       "\u001b[0;31mValueError\u001b[0m: Length of colspecs must match length of names"
      ]
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter10.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter10.ipynb
index 467a3cf09..966db3dc9 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter10.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter10.ipynb
@@ -547,16 +547,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter10_39_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1078,7 +1077,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
@@ -1656,7 +1655,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
@@ -1674,7 +1673,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
@@ -1692,7 +1691,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
@@ -1710,7 +1709,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
@@ -1728,7 +1727,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
@@ -1746,7 +1745,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
@@ -1764,7 +1763,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
@@ -1782,11 +1781,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -1804,11 +1803,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -1826,11 +1825,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -1848,11 +1847,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -1870,11 +1869,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -1892,7 +1891,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
@@ -1910,11 +1909,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -1932,11 +1931,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -1954,11 +1953,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -1976,11 +1975,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -1998,11 +1997,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -2020,11 +2019,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -2042,11 +2041,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -2064,11 +2063,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":43: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:43: RuntimeWarning: overflow encountered in exp\n",
       "  exp_term = np.exp(self.z_o)\n",
-      ":44: RuntimeWarning: invalid value encountered in true_divide\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/1630775253.py:44: RuntimeWarning: invalid value encountered in true_divide\n",
       "  self.probabilities = exp_term / np.sum(exp_term, axis=1, keepdims=True)\n"
      ]
     },
@@ -2129,23 +2128,23 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n",
-      ":4: RuntimeWarning: overflow encountered in exp\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94478/953065564.py:4: RuntimeWarning: overflow encountered in exp\n",
       "  return 1/(1 + np.exp(-x))\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -2157,9 +2156,9 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkIAAAJgCAYAAABmwww9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAABrhklEQVR4nO3deZyN5f/H8dc5sw9mxjKLNVlCMras2WUnFL+kIkpUCJVUpFJSyuRLyZKtUMmeLIWkTAnVIGv2ZRYGY8wwy7l/fxwdbjMymDnHzHk/H4/z4L7Pde77+sx1ls/53Nd9H4thGAYiIiIibsjq6g6IiIiIuIoSIREREXFbSoRERETEbSkREhEREbelREhERETclhIhERERcVtKhERuU2+//TYdO3akY8eO3HPPPbRq1cqxfOHChRvaVlRUFK+//vo179+9ezcVKlRgypQpt9ptEZFcxaLrCInc/po1a8b48eOpUqXKTT1+4cKFrFq1ismTJ2d6/8iRIzl//jy///47a9aswdPT81a6KyKSa+jdTiQXmj9/PvPmzcNmsxEUFMSIESMoW7YsmzdvZsyYMdhsNgD69u1LeHg4//vf/zh37hyvvPIK7777rmlbiYmJLFu2jPnz57Nr1y5WrVpFu3btAEhLS2Ps2LH8+OOPeHh4UL16dUaOHInVas10/eTJkzl9+rSj+jRhwgTH8uOPP05gYCD79+/nkUceoUqVKowdO5aUlBTi4uKoX78+o0ePBmDdunV89NFH2Gw2/P39efPNN1m3bh379u3jww8/BGDz5s28/fbbLF682El/dRHJi5QIieQymzZtYvHixcyZMwc/Pz9+/vln+vfvz4oVK5gwYQK9evWiXbt27Nq1i6+++opWrVoxcOBAVq1alSEJAliyZAmlS5embNmydOrUiZkzZzoSoblz57Jjxw6WLFmCt7c3Q4YM4bvvviMhISHT9dcTEBDgaDdkyBAGDhxInTp1OH/+PM2bN2f79u2EhYXx0ksvMXv2bO6++25Wr17NBx98wHvvvUfLli05c+YMQUFBfP3113Tr1i17/7gi4naUCInkMj/++COHDh0yJQEJCQmcOXOGNm3a8NZbb7F27Vrq16/PkCFDrru9L7/8kv/7v/8D4IEHHmDcuHH88ccfVK9enY0bN9KxY0d8fX0B+OijjwDo169fpusnTJjwn/u69957Hf8fM2YMP/30E59++in79+/n4sWLJCUlsXXrVsqXL8/dd98NQMuWLWnZsiUATZo0YcmSJXTq1Imff/6ZkSNHZuEvJiJybUqERHIZm81Gx44deemllxzLsbGxBAYG0q1bN5o2bcovv/zChg0bmDhxIitXrrzmtjZv3szevXuZNm0aM2bMAMDLy4uZM2dSvXr1DHOFTp48ic1mu+Z6i8XCldMOU1NTTe38/f0d/3/ssceoUKECDRs2pE2bNvz1118YhoGHhwcWi8XRzjAMdu/eTcWKFXn00Ud544038PT0pGXLluTLl+8G/3oiImY6a0wkl2nQoAHLly8nNjYWgHnz5tGzZ08AunXrxs6dO3nwwQcZNWoUCQkJxMXF4eHhQVpaWoZtzZs3j44dO7J+/XrWrl3L2rVr+fTTT/n+++85fvw49erV49tvvyUlJQWbzcYbb7zB8uXLr7m+YMGC7NixA8MwSExMZN26dZnGkJCQwLZt23jxxRdp2bIl0dHRHD58GJvNRtWqVfnnn3/Yu3cvAGvWrHEkfTVq1MBqtfLZZ5/psJiIZAtVhERymQYNGtCnTx969+6NxWIhf/78TJw4EYvFwosvvsjo0aP56KOPsFgs9O/fnxIlSpCens7HH39M//79mThxIgDx8fGsXr2aBQsWmLZfr149qlWrxueff86LL77IsWPHePDBBzEMg9q1a/P4449jsVgyXZ+cnMyGDRto2bIloaGh1K5dm8xOTA0ICODpp5+mc+fO+Pv7ExoaSo0aNTh06BD16tXjgw8+4OWXXyY9PZ38+fMTERHheOyDDz7Id999R8WKFXP2Dy0ibkGnz4tIrpGWlkb//v154IEHaNu2rau7IyJ5gA6NiUiusG/fPurVq0fBggVp3bq1q7sjInmEKkIiIiLitlQREhEREbelREhERETclhIhERERcVu58vT51oX6uLoLLmOULeHqLriU5cAxV3fBpSxXXJDQLeV38/hTUq/fJo+yBbr32K/a8qZT92eLvstp+7KG7XHavjLdv0v3LiIiIuJCubIiJCIiIjnHhs1p+3J1RcbV+xcRERFxGVWERERExCTdcF5FyNWJiCpCIiIi4rZcnYiJiIjIbcaG+/zohCpCIiIi4rZUERIRERETZ5415mqqCImIiIjbUkVIRERETNINzRESERERyfNUERIRERETnTUmIiIi4gaUCImIiIjb0qExERERMUnXoTERERGRvE8VIRERETHRZGkRERERN6CKkIiIiJjogooiIiIibkAVIRERETFxn59cVUVIRERE3JgqQiIiImKi6wiJiIiIuAFVhERERMQk3X0KQqoIiYiIiPtSRUhERERMdNaYiIiIiBtQRUhERERM0rG4ugtOo4qQiIiIuC0lQiIiIpIrLFu2jLZt29KyZUvmzJmT4f7169fToUMHOnTowAsvvMD58+evu00lQiIiImJiM5x3y6qYmBgiIiKYO3cuixcv5quvvmLfvn2O+xMSEhg2bBgREREsW7aMihUrEhERcd3tKhESERERl0lISODo0aMZbgkJCaZ2GzdupG7dugQFBeHv70+rVq1YuXKl4/6DBw9SrFgxypUrB0DTpk354Ycfrrt/TZa+pHaLKvR6/UG8vD058PdRIgbOIunchUzbvvBxLw7uPMaCiasB8Pb14rmx3alQ404sFgu7tuzn45fmknIh1Zkh3JLa95Wn13PN8fL24MDeGCLeXkrS+RRTm2ZtqtD1sfoYwMULqXzywQr27jzhuD84NICPpj/JM90/JeFsspMjuDW1W1Sh1/DOePl4cmDHMSKen0VS4jXGf+IT9vH/+Hvg0vi/150KNUpfGv8DfPxy7hr/Ws3uptfL7e3P/13H+eileSQlXsy07QvjunNw1wkWTFnnWPfln29z8sRZx/KCyWtZt3hLjvc7u9RqVIFeg1va498TzUfDF5J0/hrxj+7Cwb3RLJjxMwBWq4Vnhz9AlVp3AvD7T7uZNnaF0/p+q2o1qUivF9vaX/u7T/DRK/OvPfbvP8zB3dEs+Gy9Y127R+vR+v9q4+3jxb4dx/jola9JTUl3VvezVe0G5enV/368vDw5sC+GiLeWZHgeNGsTTtce92EYhv19cOwK9u487qIe5xxnTpaeNWsWEydOzLC+f//+DBgwwLEcGxtLcHCwYzkkJISoqCjHcunSpYmOjmbXrl1UrFiRFStWcPLkyevuXxUhILBwfoZMfIJRPSfxVJ0RnDh4kl6vP5ihXcm7whiz+AUaPlDTtP6RIe3w8PDgmQZv8kyDN/Dx9ebhwW2c1f1bFhjkzwuvd2TUy1/zVJePiT52ht797ze1KXFHYZ4a2ILXBs7h2UcnM/ezn3j9/Ycd99/fNpwPJj9BkZAAZ3f/lgUWzs+Q//VkVK9Pearu65w4FJf5+JcPY8yiITTscNX4D26Lh6eVZxq9xTON3sTHz4uHB+Wi8S+UjyEfPMLbfafTp+loog+fotewDhnalSwXyrvznqVB26qm9cXLhHDuTBL924x13HJTEhRYMB9D3nmItwfNpU+7CKKPxNNrSKsM7UqWCebd6U/SoOU9pvXNHqhO8dJFeKbjeJ7t/D+q3HsnDVrdk+Hxt6PAQvkY8t7DvP3cbPq0HEv04Xh6vdQ2Q7uSZUN49/O+NGgdblpfv+U9PPD4fbzSYwr92nyIt48XnXo1clb3s1VgkD8vjOzEqJe+4qmHJhB99DS9B2TyPjioJa8N+Jxnu39qfx/84OFrbFGyqmfPnqxZsybDrWfPnqZ2NpsNi+VygmYYhmk5ICCA9957jxEjRvDQQw8REhKCl5fXdfevRAio0bQye/44yPH9sQAsn/4jzbrWydCuw5NNWfn5BjYsMb/Jb4vcw7wPl2MYBjabwb6ow4SUKOyUvmeHGnXLsvvvYxw/Eg/Atwt+p1nrKqY2qSlpfPT2MuJPJQKwZ+dxChbOj6enlUJF8lOvSUVeHfiF0/ueHWo0vZs9fx66PP4z1tOsyzXG/4uf2bD06vHfy7xxV4z/tiOElCjklL5nhxqNKrLnr8McP2j/5vTt57/QtFPNDO3a92jAqi9/ZcPyv0zr765ZGlu6wdhvBvDJqqF0f74VVmvuOfW2xn3l2LP9KMcPnQLg2y9/o2n7ahnatX+kLqsWbGbDqm2m9VarBV9/b7y8PfHy9sTTy4PUi2nO6Potq9HgLvZEHeH4oUtjPzeSpg9Uz9Cu/WP1WfX1b2xYEWVa37xzTRZO/4nEs8kYhsHE1xewNhclwVeqUa8su/8+fvl98JvfadbGnPilpqTz0aglxJ+89D7497/vgx5O729OS8fitFtAQAAlSpTIcAsIMH+xDgsLIy4uzrEcFxdHSEjI5T6npxMWFsb8+fNZsGABlSpVomTJkteN1WmHxv755x9WrVpFdHQ0VquVkJAQGjZsSJUqVa7/4BwWXLwgccdOO5bjjp8mX4A//gV8TYfHPnl5HgA1m1Y2PX7rur8d/w8pUYjO/e5n/ODPc7jX2Sc4NICTMZePxcbFJpAvvy/++bwdh8diTpwl5opDH30Ht+LXn3aTlmYj/mQio4Z+7fR+Z5fgYoWIOxbvWLaPvx/++X1Nh8c+GXZp/JvcbXr81h+vGv++zRk/JPeMf5FiQcSdOONYPnnizKX4fUyHSCa9vgCwJ05X8vC08ufPu5k+5ls8vTx4c2YfkhIvsPiKwye3syJhgcRFX35un4xJIF8BX/zz+ZgOi0x6ZxkANeqXMz3+h8VbadiqCp+vG4aHp5Wtv+zltx93Oafzt6hI0avGPvos+QpkMvZvLgagRoMKpseXuDOYPVFHGDX9KQqHBLB98wE+e+9bZ3Q92wWHBnLyiufB5ffBy8+DmBNniLni79V3SCt+Xb+btLTceSgwt6lfvz4TJkwgPj4ePz8/Vq9ezahRoxz3WywWevfuzfz58wkJCWHmzJm0bZuxwnk1p1SE5syZw5AhQwCoUqUKlSvbE4kRI0Ywffp0Z3ThP1msVgwj49T19PQbu8h4uaql+OC7oSydto5Nq6Ou/4DbhNViIZPwSc/kV/d8fL147d0uFCtRiIi3lzqhdznPYrVkPv62mxj/b/8d/23Xf8BtwmqxQBbHPzMr5/3KpJELuZicwvmEZBZN/ZH6rVz/BSerrNZrxJ/F8X/02eacPX2e7o1G83jTMRQI9OfBJxpkcy9zxjVjz+J7n4enler3lefdgZ8zsPN4CgT68cSQ3HNY+EpWiyWzP0WmfwsfXy9ee+//KFayEBGj8sb74NVshsVpt6wKDQ1l8ODB9OjRg06dOtG+fXvCw8Pp06cP27Ztw2q18tZbb/HUU0/RunVrAgICePLJJ6+7XadUhGbPns3ixYvx8/Mzre/VqxedO3emd+/ezujGNcUdPUXFmnc6losUDeLc6fNcTEr5j0eZNX6wFv3HPsrHQ+fy44JNOdHNHBMbc5aK9xR3LBcJDuDc2WQuXjXZNzg0gLfGPcLhgycZ+swsUnJJ+f964o7F3/r4d65F//e78/Gweblv/I+fpkL1OxzLRcICOXfmPBeTsxZ/swfvZf/fxzi4yz5x3mKx5KpvyLEnzlIh/HL5vEhoAOfOJnExOWuT3eu3qMykd5aRlppOWmo6PyzZSoOW97Bw5s851eVsE3v8DBWqlnIsFwkN4NyZrMceH5vAxlXbHdWjtUu20r1/ixzpa06LjT5LxXtKOJaLBBewPw+ufh8MC+StiO4cPhDH0L4z88z7YG7x7zWCrjR16lTH/5s0aUKTJk1uaJtOqQh5enqSlpbxyXLhwoUsTWTKaVvW/U3Fe8tQrIz9WGO7Xo2JXPFnlh9fp1U4z7zbjVcfish1H4IAW379h4r3lKBYSfu8lnYP3UvkT+bSvp+/N2MnP8HP63bx7msL8tSLf8u6v6lY84rxf+Imxn/0w7za9aNcOf5bf9pNxeqlKVa6CABtH7uPyNXbs/z40hWK8vgLbbFaLXj7eNGhZ0N+WvZHTnU32239ZS8Vw0tR7A77vL62D9cmcu3OLD9+39/HaHRpTp2Hp5W6TSux668jOdLX7LZ1w24qVitFsTsujX33ekT+sCPLj/95xTYatg3H28f+nbpei3vYsy13xH61Lb/+Q8UqV7wPdqlF5PrdpjaO98G1O3n31W/y1Pvg1Zw5R8jVnFIR6tevH506daJevXoEBwdjsViIjY3l119/ZfDgwc7own86e/Ic4/rPYPjMfnh6e3LiQBxjn/mM8tXuYND4njzX+K3/fHyft7qCxcKg8ZdnuP/92z4+Hjo3p7ueLc6eTuLDt5YwYkxXPL08OHH0NGPfWET5SkUZPPwBnn10Mg/8X21CwgK5r2lF7mt6eY7Iy8/O5lwuO1X+amdPnmPcwJkMn97XPv4H4xj77HT7+Ef04Lmmo/7z8X3e7GIf/4gejnV/b9rHx5fmlN3uzp5KJOLFubz2aS88vTw5cfgkHwyaQ/nwkjz/Xjf6txn7n4+fE7GSZ0d1YdL3L+Ph6cGG5X+yct6vTur9rTsbf56I4d/wWkR3+/P/SDwfvDKf8pWL8/yozvR/MONpvVeaMmY5zw5/gCnfDsZms/Hnr//wzfSfnNT7W3M2/jwRL3/NaxMft8d++BQfvPQl5e8pwfOju9L/gf++GN23czaSP8ifCUsGYbVa2LfjGNPeXeak3mevs6fP8+Gbixnx/sOX3gfjGfv6IspXKsbgEQ/wbPdPeeDhOoQUDcr4PvjMrFz/PujOLEZmkyNyQExMDJGRkcTGxmKz2QgLC6NevXqEhobe8LZaF+qTAz3MHYyyJa7fKA+zHDjm6i64lMXf39VdcK38bh5/Su65NlV2swW699iv2vKmU/f3++HSTttXrVIHnbavzDjtrLHQ0FA6derkrN2JiIiIXJeuLC0iIiImN3I2V26nCyqKiIiI21JFSERERExuh7O5nEUVIREREXFbSoRERETEbenQmIiIiJikG+5TJ3GfSEVERESuooqQiIiImNjcqE7iPpGKiIiIXEUVIRERETHR6fMiIiIibkAVIRERETHRWWMiIiIibkAVIRERETGxaY6QiIiISN6nipCIiIiYpLtRncR9IhURERG5iipCIiIiYqKzxkRERETcgCpCIiIiYqLfGhMRERFxA0qERERExG3p0JiIiIiYpBu6oKKIiIhInqeKkIiIiJjogooiIiIibkAVIRERETGx6YKKIiIiInmfKkIiIiJiojlCIiIiIm5AFSEREREx0XWERERERNyAKkIiIiJi4k4/uporE6Fdoyq6ugsuYy140dVdcCnDuNPVXXApT+90V3fBpdKi/VzdBZey+dlc3QWXGXTf967uguRRuTIREhERkZyTrusIiYiIiOR9qgiJiIiIiQ2dNSYiIiKS5ykREhEREbelQ2MiIiJiosnSIiIiIm5AFSEREREx0Y+uioiIiLgBVYRERETExKYfXRURERHJ+1QREhERERPNERIRERFxA6oIiYiIiIlN1xESERERyfuUCImIiIhJOhan3W7EsmXLaNu2LS1btmTOnDkZ7t+xYwcPPfQQDzzwAH379iUhIeG621QiJCIiIre9mJgYIiIimDt3LosXL+arr75i3759pjbvvPMOAwcOZOnSpdx555189tln192u5giJiIiIiTPnCCUkJGRauQkICCAgIMCxvHHjRurWrUtQUBAArVq1YuXKlfTv39/Rxmazcf78eQCSk5MJDAy87v6VCImIiIjLzJo1i4kTJ2ZY379/fwYMGOBYjo2NJTg42LEcEhJCVFSU6THDhg2jd+/ejB49Gj8/P77++uvr7l+JkIiIiJjc6NydW9GzZ086d+6cYf2V1SCwV3sslsv9MgzDtHzhwgVee+01Zs6cSXh4ODNmzODll19mypQp/7l/JUIiIiLiMlcfAruWsLAwNm/e7FiOi4sjJCTEsbxnzx58fHwIDw8H4OGHH2b8+PHX3a4mS4uIiMhtr379+kRGRhIfH09ycjKrV6+mUaNGjvvvuOMOoqOj2b9/PwBr1qyhSpUq192uKkIiIiJicjteUDE0NJTBgwfTo0cPUlNT6dKlC+Hh4fTp04eBAwdSpUoV3n33XQYNGoRhGBQuXJjRo0dfd7tKhERERCRX6NChAx06dDCtmzp1quP/jRs3pnHjxje0TSVCIiIiYpJ+G1aEcor7RCoiIiJyFVWERERExMTmxNPnXU0VIREREXFbqgiJiIiIieYIiYiIiLgBVYRERETExGZojpCIiIhInqeKkIiIiJiku1GdxH0iFREREbmKKkKXNL3jTobWbYi3hwe7TsXx8trVJKammNq8dl9j2pa9i7MXLwCw//Rp+q/+lgLe3rzXtBVlCxbCarGwYNcOPv3jd1eEcdOaFivLS1Wb2uM/E8uwX5eTmGaO/9XqzWlbqiJnUi7Fn3CKgb8sJtDbl1G1WnN3wVCS0lL5Zn8Us/dszmw3t62mxcoytFoTe/ynY3n51+8yxP9ajWa0KVXx8vifO8WAn5cQ6O3L27VbXY7/nyhm7dniijBuWpOwcrxQpSneHp7sPhPDq5u/zRD/XQHBvF69NQW8fEg3bIzY8h07zkQ77g/zC2B+8yd4YPVUTqckOzuEW9K09J0MrXfp9X8yjpfXZPL6b9CYNuXu4uyFS+N/5jQDVn6Lj4cnbzVpTtXQMCzAnzHRvP7jGi6mp7kgkhvXrGQZhtZqhLfVg13xcQzdsDJD7MPrNKHtnRU48+9z/2w8/dcuA+DxStXoViEcX09Ptp2MYehPK0mxpTs9jpt1aHMSv31+hvRUg8KlvWnSvzDe/uYawYFfk/h93hksFvApYKXxs4UJLOrluD8xLo2FL0fT9aOi+AV4ODuEHOFOc4SUCAGFfP0Y26w1XRbO4+DZMwyr15CX6zVkxE9rTO1qhhVjwOrlbI0+blo/pM59RJ8/x7OrluHn6cn3jzzBpuNH2Rpzwplh3LRCPv68V7c9//f9bA6eO83L1ZoytFpTXt+8ytSuRnBxBv6ymK0nj5nWD69xP0lpKbRcPgUPi4XJjbpwNPEMa4/vc2YYN62Qjx/v12tH19WfX4q/CUOrN+X136+Kv0gJBv68JEP8I2rez/nUVFp8O9UR/5HzZ1l7LJfE7+3PmFodeHjdTA4lnualKs14sUoz3vhjpaONr4cnMxp159XN37I++h+aF7uLD+t0ovWqTwHodEcVBlZuTJhfgKvCuGmFfP14v3lrun5jf/2/XL8hQ+s35PX15td/jbBiDFyZ8fXfv1YdPK0W2sydhcViIaJlW569tzYRv210Zhg3pZCvH2MbteahZXM5mHCGYbUaMaxWI4Zv/MHUrmZIcQasXcaWWHPsrUuX54nKNXhw2VwSLl5gUvOOPHlPTSZFbXJmGDct+Ww66yacotO7YQQV8+LXWaf5dfZpGvUr7GiTdtHGmoiTdP2oKIFFvfhraQK/TDtN2xEhAOxel8jmeWdIis89yZ+Y6dAY0LDUHUTFRnPw7BkAvtj+Fx3vqmRq4231oHKREPpVr8XKbj2Y1LoDxfIXAODNDet455f1AITky4+3hwcJKRedGsOtaFj0TradOsHBc6cB+GLvVjqWrmxq4231oHLBMJ6uVJcVbZ/ikwYPUszf/qF3T6GiLDqwHZthkGqzse7YP7QuVdHpcdyshkXLEGWK/w86lr7b1Mbb6kHlQqH0vbsuK9o9yScNO18Rf5g5/uP7aFOygtPjuFkNwsqw7fRxDiXa45/7zxYeuOMec5vQMhw+f4b10f8AsOb4Hp7/dSEAIb75aVGsAr1/muvcjmeTDK//bX/RsUImr//gEPrWrMWKR3rwSZvLr/9Nx44y8fffMACbYfB3XCzFC+SOhLBR8dJExUVzMOEMAF/s/JOO5TI+9+8uHELf8NqsevAJPm3ekWL57LE/WK4yU7f9ztmLFzCAV39ZzcJ9fzs5ipt35M9kQsr5EFTMXt25u3UB9v10HsMwHG0MG2BAynkbAGnJNjy87NWS8/FpHPwtiXYjQ53e95xmw+q0m6u5vge3gWL5AziReM6xfCLxHAE+PuT38nasC8mXj43HDvPBbz/T+svZ/BFzgqltOznuTzcMIu5vw+puPfn12FH2nzntzBBuSVH/AE4kJTiWo5MSKODtS37PK+L3y09kzEHGRf1Em++m8cepY0xu1AWAv04do/Od9+BpseLv6UWrkhUI8cvv9DhuVlH/AhniD8gk/o3Rh/jwr/W0Wf4Zf548zpTGDwHw58njpvhb57L4w/yuGv/kBAp4meO/s0BhTl5IZPS97VnYvDczGz2Kh8X+9hF7IZHnIr/hYGK80/ueHYoWCODEucuv/+jMXv/587Hx6GE+jPyZNvNm82f0Caa07wTAhiOHOHDp9V68QAF6Va3Bd/v2ODWGm1U0XwGOn7/ive/8OQK8zbGH+ucn8sRhPtjyM60WzuSP2ONMa9EZgDKBBSns68+sVl1Y+eATDK5xX676Enj+ZDr5i1w+lJW/iAcpSQapyZcTIS8/Kw2fKcSiYdHM7nWU7d+do27PIADyFfKk1bAQgop7Xb1pyUWUCAEWCxgYGdanGzbH/4+eS6DXt4vYE38KgCl/bKZUYCAlrvjmN/iHFVSf/glBvr48X6teznc8m1ixZBK9Pbn719HzZ+n949fsORsHwNSdv1GqQEFK5Avkna1rMAxY1uZJJjfqwi/RB0jNRXMErBYLRiZ/gMzjPwnAlKviB4Nv2/ZmcqOH+Dn6YO6LP5P1V8bvabHSOKwcX+3fyoNrpvP5vt+Z1rAb3tbcPx/CmpXXf0ICvZdl8voPuPz6vyc4hK8e6sbsbX+w9uD+nO94NsjK2B9JPMsTqxaw57T9uT952++UCgiiZP5APK0eNCxemufWLqXD4tkE+vjy0r0NnNT7W2fYILOf1LJc8cl46mAKW746y8MTitFjRglqdA1k9XtxpqpRXpRuWJx2czWnJELHjx//z5urHT93jtB8l7/Bh+XPz5kLySSnXZ7sWLFwETpfdbjMgoU0m41GJe8gxD8fAEmpqSzdu4vKRUKc0/lscCzprKmCEepXgDMXk0lOT3WsqxgUTKfS5sMlFiDNZqOAlw9j/lxLm++m8vjaeViwcOhc7qmIHT+fQOgV8Yf5Zx5/5zuvHf+7f6yj9fJpPL72SyzgOMyWGxxPOkuI75XjH8CZFHP8sRcS+efcSf6Kt79e1xzfg4fFQsl8Qc7ubrbL8uu/Qiav/3R7stS+fAU+79SF9zdu4JPNuWN+DMDx8+cIvfTeBRCWr8Cl2K947hcKpvNVh8ssWEi1pROTlMjKg3tITE0h1WZj8b6/qRFSzGn9v1X5gz1Mc3vOn0rHJ78VL9/LH41H/kwmrJKPY3J05TYFiD+cyoVztgzbk9zJKYlQ3759adWqFY8//jiPPfaY6fb44487owv/acORg1QLLUrpwCAAHq1cle8P/GNqYzMM3mjYzFEBeuyequw6FUf0+UTalavAoNr2CpC31YN25e4i8thhp8ZwK34+cYDqhYtTukBBAB4tX4MfjppL+zYDRt7bghL5AgF4rHwNdp2JJTr5HN3LV2dweCMAivjm4//KVWXpwR3ODeIWbDhxgOpFLsffvXx1vj+619TGZhiMrHn/VfHHOeIf4ojfn4fLVmXpwdwzT+LnmP1UK1ycO/Lb43+kTA3WHDOP//oT+yiRL4jKQWEA1CpSCsOAI+fPOLu72W7D4YNUD7v8+u9+T1W+35/x9T+yUTNHBeixKlXZddL++m9eugwjGzWjx5IFLN2zy9ndvyU/HT1I9ZBilA4IAuDRilVZfdg8yd9mGLxZrzkl89uf+49Xqsau03FEJyWy4sBu2pWpiI+H/byblneUIyoumtyiZDU/YnZf5Mxxe+L396pzlK7tZ2oTXMab49svkHTGnjAd/C2JAiGeeebsMAGL4YT6XmJiIt27d2fkyJHUrFnzlrdX+uMPs6FXZk3uuJOX6zbAy+rBoYQzDPlhJaUCAnmvWUvafvU5AJ3uqsQzNWrjYbFw4nwiL69dxfFE+zH1d5rcz12FigCwav9eIjZtzLTkfKusBXPm+HuTYmV5qWoTvKweHE48zQuRyyiVP4h367Sj/YrPAOhYujL97q6Ph8VCdNI5hv22nONJCeTz9ObDeh24o0AhLMCkvzeyJIcSISOHyqhNipVlaLXG9vFPPMMLG+3xj6nTlnYrpgPQqXRl+lWu54j/5V+/c8Q/rn4H7ihQ0B7/jkgW51D8nt45c8itcVhZXqjSDO9L4//SpiWUzF+Q0fe244HvpwH25Ofl8Ob4eXqRYkvn7T9Ws+XUEdN29nYdTu0lH+bY6fNp0X7Xb3QTmtxxJ0PrX3r9nz3DC9+vpFRgIGOataTdl5de/xUq0a+m/fUfnZjIy2vsr/81j/Ui0NeXmMREx/a2nDie4ayz7GDzy/4qRNMSd9pPn/ewv/cNXv8dpQoE8l7D1rRdNAuAzuXu5pnw2nhYrZw4f46hP63k+PlzWC0WBlSrR4cyFbBarGw/FcOrP2e89EB2GHTf99m+TYBDm5PZ9MVp0tMMAsK8aPZ8YRJi0lg/8RRdP7JXt7Z/d47t3yXg4WnBJ7+VBk8XolApb9N2Pu10iJ6zS+RYgjS40uoc2e61PP/HI07b1/jq85y2r8w4JRECiIqKYv78+YwaNeqWt5UTiVBukVOJUG6RU4lQbpFTiVBukVOJUG6RE4lQbpFTiVBuoUQo5zjtOkLh4eGEh4c7a3ciIiJyk2yG+5xL5T6RioiIiFxFV5YWERERk/TMriuQR6kiJCIiIm5LFSERERExcacfXVVFSERERNyWKkIiIiJiorPGRERERNyAKkIiIiJiYtNZYyIiIiJ5nypCIiIiYpKus8ZERERE8j5VhERERMREZ42JiIiIuAElQiIiIuK2dGhMRERETPQTGyIiIiJuQBUhERERMdEFFUVERETcgCpCIiIiYqI5QiIiIiJuQBUhERERMdEFFUVERETcgCpCIiIiYqI5QiIiIiJuQBUhERERMdF1hERERETcgCpCIiIiYqI5QiIiIiJuQBUhERERMVFFSERERMQNKBESERERt6VDYyIiImKiQ2MiIiIibiBXVoTGt/nc1V0QFylkTXR1F1wqFQ9Xd8Gl0t3ohyAz09wv3dVdcJlTtvOu7oJbuV0rQsuWLWPSpEmkpaXRs2dPHn30Ucd9O3fuZNiwYY7l+Ph4AgMD+fbbb/9zm7kyERIRERH3EhMTQ0REBAsXLsTb25tu3bpRp04dypUrB0ClSpVYsmQJAMnJyXTt2pU33njjuttVIiQiIiImzvyJjYSEBBISEjKsDwgIICAgwLG8ceNG6tatS1BQEACtWrVi5cqV9O/fP8NjJ0+eTK1atbj33nuvu38lQiIiIuIys2bNYuLEiRnW9+/fnwEDBjiWY2NjCQ4OdiyHhIQQFRWV4XHnzp3j66+/ZtmyZVnavxIhERERMXHmHKGePXvSuXPnDOuvrAYB2Gw2LJbL/TIMw7T8r6VLl3L//fdTuHDhLO1fiZCIiIi4zNWHwK4lLCyMzZs3O5bj4uIICQnJ0O6HH36gb9++Wd6/e5+CISIiIhnYDIvTbllVv359IiMjiY+PJzk5mdWrV9OoUSNTG8Mw2LFjB9WrV8/ydpUIiYiIyG0vNDSUwYMH06NHDzp16kT79u0JDw+nT58+bNu2DbCfMu/l5YWPj0+Wt2sxDMPIqU7nlCX7q7m6C+Iiuo6QriPkznQdIfcVXOyYU/fXfN0Qp+1rTdNxTttXZtz7XUVERETcmiZLi4iIiMntemXpnKCKkIiIiLgtVYRERETExFBFSERERCTvUyIkIiIibkuHxkRERMTEmT+66mqqCImIiIjbUkVIRERETHT6vIiIiIgbUEVIRERETHT6vIiIiIgbUEVIRERETDRHSERERMQNqCIkIiIiJpojJCIiIuIGVBESERERE80REhEREXEDqgiJiIiIiWG4ugfOo4qQiIiIuC1VhERERMREvz4vIiIi4gaUCImIiIjb0qExERERMdEFFUVERETcgCpCl+zclM6KGamkpULROy10HeSNbz5zRrz9l3RWf5GKxQr+BSx0GehF4WL2XPKNh5MJLHK5feOHPKnRLPf8ed09/qjfYMEMK2mpUOJOeGKwDb985jZbf4Eln1uxWiBfAegxyEZIMbClw5yPLezZZo+/Si2Drn0MLLnoC9W232DJDEi9FP9jg8kQ/5+/wLefg8UC/gXgsUEQXAymjIK445fbnYyG8uHw7JtODeGWbP/NYOkMg7RUKH4ndB9swe+q5/9fvxgs/9zAYrWP/yPPWwguZm/z0zKDjSsNUlOgVDn74728c8cT4MdIiJgCKalQoQy8/TLkv2rsv1gAcxaBrw+UKQUjBkNQgP2+uYvgm+Vw8SJUrgBvDwVvb+fHcbM2RnoweZo3KakWypax8cpLF8h3VfzfLPRiwWIvfLwN7rjDxgvPXyQgABITYcxYXw4dtmAYFlq3SuWxR1JdE0g20wUV3UziGYOvx6Xw+HBvhk7zpXCYlRUzzE/m1IsG88am0GOEN4M/9qVSHQ+WfGpvE3vUhn8BC4M/9nXcclMS4O7xnzsDMz608uwIG+98ZiM4zGDBdPObQMpFmPaevc3ISTbC6xrMm2R/+USusRBz1MKbn9rv27PNwpYNLgjkJp07A7M/hKdHwJufQZEwWDzd3CblIsx4z97mtUkQXhe+nmS/7991r02CRweBf37o9pyzo7h5584YfDHO4KkRFl7/zErhorB0hvkiKikXDWa9b9DndQuvfGLlnjoWvplkb/PnzwbrlxoMGGPhtckWUlJg3SJXRHLj4s/Aa2Ng/ChY8QWUKAYfTja3+W0rTJsHM8bBos+gUV0Y+YH9vtU/wZyFMH0cLJsFFy7CrPlOD+OmnT4Do9/34e03LzBvdhLFitqYNMXH1GbrHx7MmefF+A+TmTktmXp10nn/Q18Apk33JjjYxuczkpk6KYnFS7zYvkMfq7mNRgzYszWdkndZCS5u/3PUbe/BH+vSMa64opTNZv/3wnn7vynJBp6XvvUc+tuG1QqfvHiRcc9c4Ps5qdjSc8/VqNw9/h1bLZSuAKHF7ctN2hv8ttZiuqDYv/EnJ9n/vZgMXl6X77t4wV5NSbt088xF34h3boXSFSDkUvyN2sOmtWSI38Acv6eXeTtpqTDrA+jaDwqFOKXr2WLXVrjjLggpbk9+G7az8PtaTM9/49/4Lz3/LyZfHuNNawyaP2ghXwELVquFbgMs1G7u5CBu0i+/wz0VoXQJ+/IjHeHbH8xjv2MP1KsJYZfGtEUjWLfRXkFaugqeeNheHbJa4Y0X4IGWzo/jZv3+uyeVKtgoWcIecOeOqXy/xtMU/649Vu6tmU5IsH1l44Zp/BLpQWoqPD8gheeeSQHgVLyF1FTIly/3vPf9F8Nw3s3VnPa1/YcffuDEiRM0btyYUqVKOdZ/9dVXPPzww87qRqbOnjQIDL5cAQgsYuFCElxMAt9LJVIfPwsP9vfi4yEX8Q+wvzE++6H9m4MtHcpVs9K2txfpaTB9ZAq+/uk07Jw7qiLuHn98HBQqcvnVWDAYkpPsf4N/Dw/5+sFjAwzGDLaSr4A9MRg2zp4d3dfCYPNPFl561Ep6OlSuAdXquiKSm3M6DgoWubwcFAwXksgQf/cB8MFgHPG/OM68nV9WQmAhqHaf8/qeHU7H2WP+V2bx+/hZ6DYAxg0x8C9gYNhgyDj7ayb2GJw7Cx+/ZuPsKSh7D3R6KnccVoiOhaJXJK2hwZB43sL5JMNxeCy8kv3Q2LFoKB4Gi1ZAaqqFMwkGB49AlYrQ5yWIPQk1w+HFfq6J5WbExFkICbn82g8ONjh/3kJSEo7DY5UrpfPNQi+ioy2EhRl8t9KL1FQLZxMsFCls4OkBb73jw4/rPWnYMI1SJW+DT3a5IU6pCH3wwQd88cUXHDx4kEceeYQlS5Y47vvyyy+d0YX/ZNjI9NJRVo/L/z9xwMYPc9N4cbIPI+b40aybF5+/nYJhGNRp40mnZ73x9rXgl99Co86ebN+Y7rT+3yrFT6Z/gCvjP3oAls2x8NYUGx/Os9HuEYNJo6wYBiz9wkKBIINxX9oYO8fG+XOw6pvc8UEIl6pd14n/2AH4bg68PgXGzIPWj9jnBl35bW7tImjbPce7m+0Mg0znc5njN1gxx+C1yRZGz7XSqpuFaaMMDMMgPQ12bTXo/aqFoRMsJJ2DZTNzx4fhv5XOq1mv+GS4tyo8+wQMGA5dnrb/rQIDDLw8ITUNNm6GiDdg/hQ4mwAfTXNGz7OHYbvG2F8Rf9VwG717pPDq67482dcPi8UgIMDAy/PyGL/+2kW+XXKecwkWZs7OReXg/2AYFqfdXM0pidD69euZNm0aI0aMYM6cOYwfP54VK1YA5vKzqwSFWEiIv9yPhJMGfvnB2/fyAO3Zkk7pu62OycH123sQfcggKQG2rEnjxIHL7yiGAR65oxgCKP5CIXD21OVYz5wE//wGPr6X2+zYbKFcZYOQYvblZh0Mjh2CxATY+ouFBi0NPL3APx/Ub2Gw+y/Xv7izyh7/5WV7/Jji/3szlKlsnxwN0KQDHD8E5xPsy0f2QXq6fZJ0blMw2Bz/WUf8l8dw55Z/47eva3RF/IGFoep99snVnl4WajWzcGCns6O4OUVDIe6K2GNOQmABA3+/y+vOJ0GtqrBwGnwzBZo3sK8PCoCQIvZDZfnzgbcXdGgJf+1wbgy3IjTU4OTJy+N8Ms5CgQIGflfEn5QE1aqlM31KMp9NTqbhffYveQEB8NsmD8fj/f3g/uZp7N6rGSe5jVNGzDAMLJfS7tKlSzN58mTeeecdfvvtN8d6V7qrhgeHd9mIO2b/MP/1u3Qq1/MwtSlezsr+bTbOnbYnDDsibRQKtZAv0ELMQYPVn9vnxaReNNi4LI2qjTwy7Od25e7xV65p8M8uiDlmX/5xuYVq9cwJeqnyBnu2WTh72r78x0YoEgoFAuGOcga//2R/HqelwZ+/WihTyfUJflZVqgkHdtkP8QBsWA5V65nblCwPe7dBwqX4/7wUf/5A+/KeKKhQLfNv17e7SjXh4C6IPWYfsw3LDapcHX852BcFCZee/39FQuFQyB9ooVoDC3/8ZJBy0V4hioo0uOMuZ0dxc+6rBX/9DQeP2pe/WgrNrjq0GXsSeg6CxEvzoz79HNo1t491q8awcp19krRhwJoN9jlHuUXte9PZsdPKkaP2J+7iZV40vC/N1ObkSQsDBvlx/lL8s77w5v5mqVgssPZHT6bP8sYwICXFvlyzeu6phv8Xd6oIWQwnlGQmTpzIxo0bGTZsGOHh9q+MW7ZsoX///qSkpLBly5Yb2t6S/dWyvY87N6WzcmYq6WlQqKiFbi96c+qEwTfjUxj8sf2r8cZlaWxcloaHJ/gVsNDpWS/C7rCScsFg8SepHN5lIz0dwht60Lqn522R5GVVbom/kDUx27cJELUJFk63kpYGIUWh90s2TkbDrAgrIyfZE8S1Sy2sXWrB09M+T6b7czaKl7ZXheZ+bOHwPgtWK1SsbvB/fYwMk4mzQyo5k2Bu32Q/Uyw9DYoUhSdesp8G/0WE/WwwgB+Xwvql9mpfvgLw8HNQrLT9vnkT7fODcvrQWLqRM9/ddmy6dPr8pfh7vGTh5AmY+5HBK5/Y97l+qcFPyww8Pe2XD/i/Zy0ULW3Blm6wch5s/cnAlm5PmroNzHj6fXZo7pf9H7Lrf7WfPp+aCiWLw5hX4ehxGDHWfpYY2M8Mm7sIbAbUqAIjBtlPpU9PtydGK9ZCug3uLg9vvpjx9PvscMp2Pvs3CkT+6sGnU71JS7NQvJiN4a9c4PgJK2PG+jBzWjIACxZ5sXCxFzYDwu9JZ8jzF/HxgXOJ8ME4H/YfsD9HGjVM58knUkyH1rJLcLFj2b/R/1Bl6Uin7WvbA6691oZTEiGAyMhIQkJCKFu2rGPdiRMnmD59Oq+99toNbSsnEiHJHXIqEcotcioRyi1yKhHKLXIiEcotcioRyi2cnQhVXvKG0/a1o6Pz9pUZp83kqFevXoZ1RYsWveEkSERERCS75KIprSIiIuIMt8F5TE7j3nVmERERcWuqCImIiIjJ7XA2l7OoIiQiIiJuS4mQiIiIuC0dGhMRERETHRoTERERcQOqCImIiIiJG509r4qQiIiIuC9VhERERMREc4RERERE3IAqQiIiImLmRpOEVBESERERt6WKkIiIiJhojpCIiIiIG1BFSEREREwMzRESERERyfuUCImIiIiJYVicdrsRy5Yto23btrRs2ZI5c+ZkuH///v08/vjjPPDAAzz55JOcPXv2uttUIiQiIiK3vZiYGCIiIpg7dy6LFy/mq6++Yt++fY77DcPgmWeeoU+fPixdupRKlSoxZcqU625XiZCIiIiYGRbn3bJo48aN1K1bl6CgIPz9/WnVqhUrV6503L9jxw78/f1p1KgRAP369ePRRx+97nY1WVpERERcJiEhgYSEhAzrAwICCAgIcCzHxsYSHBzsWA4JCSEqKsqxfPjwYYoUKcKrr77Kzp07KVOmDCNGjLju/lUREhEREZeZNWsWzZs3z3CbNWuWqZ3NZsNiuVxBMgzDtJyWlsamTZt45JFHWLRoESVLlmTMmDHX3b8qQiIiImLizNPne/bsSefOnTOsv7IaBBAWFsbmzZsdy3FxcYSEhDiWg4ODueOOO6hSpQoA7du3Z+DAgdfdvypCIiIi4jIBAQGUKFEiw+3qRKh+/fpERkYSHx9PcnIyq1evdswHAqhevTrx8fHs2rULgLVr11K5cuXr7l8VIRERETG7DS+oGBoayuDBg+nRowepqal06dKF8PBw+vTpw8CBA6lSpQoff/wxw4cPJzk5mbCwMN5///3rbtdiGLnv+pFL9ldzdRfERQpZE13dBZdKxcPVXXCpdMO9i9jN/dJd3QWXOWU77+ouuFRwsWNO3V+ZuaOdtq/93V912r4yo4qQiIiImOhHV0VERETcgCpCIiIiYpbrJs3cPFWERERExG2pIiQiIiImmiMkIiIi4gZUERIREREzzRESERERyftyZUWotV/GX6l1FwnGRVd3waUCLD6u7oJLJRoXXN0Flypo9Xd1F1xqaEx1V3fBZbb3uMvVXXCplX85e4+aIyQiIiKS5+XKipCIiIjkIM0REhEREcn7lAiJiIiI29KhMRERETHToTERERGRvE8VIRERETHTT2yIiIiI5H2qCImIiIiJoTlCIiIiInmfKkIiIiJipoqQiIiISN6nipCIiIiY6awxERERkbxPFSERERExsWiOkIiIiEjep4qQiIiImKkiJCIiIpL3qSIkIiIiZjprTERERCTvUyIkIiIibkuHxkRERMRMk6VFRERE8j5VhERERMRMFSERERGRvE8VIRERETFTRUhEREQk71NFSERERMx0QUURERGRvE8VIRERETGxaI6QiIiISN6nipCIiIiYqSIkIiIikvepInTJT5EWxk/1ICUV7ipj8ObQdPLnM7eZu9DKvEVWfL3hzjsMXhuUTmCA/b5GD3gSGny57RPd0mnXIvek1BsjPZg8zZuUVAtly9h45aUL5Lsq/m8WerFgsRc+3gZ33GHjhecvEhAAiYkwZqwvhw5bMAwLrVul8tgjqa4J5Ca5+/j/EunBp9O8SU2FsmVsvPrSxQzjP3+h5xXjb/DiFeM/eqwPhw5bMQxo0yqNx3PZ+P8YCRFTICUVKpSBt18mw/h/sQDmLAJfHyhTCkYMhqBL4z93EXyzHC5ehMoV4O2h4O3t/DhuRszWs+ycewJbqkHAHb5U7VcKL38Px/1H1sez/9tYx3Jqko0L8Sm0mFSZbZ8d5Xz0Rcd9SbEpFL47P7VfLuPUGG5F7YZ30WtgC7y8PTmwJ5qINxaTdP5ipm1fGPUgB/fGsGD2LwDkD/BjwPAOlK1QlAvJKaxespWl835zZvclG6giBMSfgRHveTDurTSWfZ5GiWIGH00x/2k2/WFh+lwrUz9MY/5naTSsa+PND+xvFgcOQ2AAzP8szXHLTR+Cp8/A6Pd9ePvNC8ybnUSxojYmTfExtdn6hwdz5nkx/sNkZk5Lpl6ddN7/0BeAadO9CQ628fmMZKZOSmLxEi+278g9Ty2NP7zzvg+j37zAl7OTKVbUxidTzJ/iW/6w8sU8L/734QVmTbtAvTrpjPnQ/hyZMt2bkGCDOTOS+WxSMouWeLItl43/a2Ng/ChY8QWUKAYfTja3+W0rTJsHM8bBos+gUV0Y+YH9vtU/wZyFMH0cLJsFFy7CrPlOD+OmXExI489PjnDvC3fSbHwl/EN82Dn3uKlNycaFaDy2Io3HVqThuxXwDfLknt4l8Any4t4X7nTcV7VvKbzyeVDlyRIuiubGBRb0Z8hbnRn1wjye6jieE8dO0+v5FhnalbwzmDFTe9GwRWXT+r4vteFCUgpPd/4fgx6bwr333UXtRnc5q/uSTXLPu1UOivzdwj0VDe649Pr9vwdsfPeD/dvtv/7ebaFuTYOwEPty84YG6yMtpKbCXzssWK3Qc4AHD/X25NNZVtLTnR/Hzfr9d08qVbBRsoQ94M4dU/l+jacp/l17rNxbM52QYPvKxg3T+CXSg9RUeH5ACs89kwLAqXj73yRfvtyTCLj7+G/63YNKFdId4/9gxzRWXzX+u/dYqXXF+De5YvwHD0ih/1Xjnz8Xjf8vv8M9FaH0pfF/pCN8+wOm+HfsgXo1cYx/i0awbqO9grR0FTzxsL06ZLXCGy/AAy2dH8fNiPsrgaCy/uQvak9qS7cszLENpzGMzMdv35IYvAM9Kd2iiGm9Lc3GHx8fovITxfErkktKYUCNeuXYs/0Yxw/HA7D86000a1s1Q7sO3WqzcuEWNqzeblpf/u5irPn2T2w2g7S0dH7fsJuG91fO8PjcyGI47+Zq102Epk+fTo0aNahatSpt27Zl0KBBTJo0ibVr13L06NEs7+jgwYPExMQAMH/+fN5++22+++67m+95NoqOtRAWfHk0QoMh8byF80mX21S522DTHxaOR9uXl6ywkppq4UwCpKVD3Zo2Jr2fzozxaWz83cLchbknx4yJsxAScjn+4GCD8+ctJF0Rf+VK6Wz5w4PoaPtFtr5b6UVqqoWzCRYsFvD0gLfe8aFHL3+qVUunVMnb4NmdRRp/K6HXGf+7K9nY8ocHJy6N//KVnhnG/413fHislx/Vq9ly2fhD0ZDLy5mNf3gle1Xo2KXxX7QCx/gfPALxp6HPS9CxF0ycAQXyOzeGm5V8KhW/wl6OZd/C3qQl20hLtmVoezEhjf3fxlG5Z/EM9x1eG49vIS+K1g7Kye5mu+CwQOJizjqW42ISyFfAF/985or4J+8u58cVURkev3vbUZq3r4aHpxVfP2/uu78yhYIL5Hi/JXtdd47Q5MmTef/99wkPD+fIkSPs2bOH3bt389NPP7F3714Aypcvz7x58665jZkzZ/L5559js9moW7cuJ06coEWLFixYsIADBw7w3HPPZV9EN8FmAJlcRNN6xWdZzXCDfj3TGTTCE6vFoFNbg8AAAy9P6NLe4Mop9o93tTF3oZXHu+Z417OFYQPLdeKvGm6jd48UXn3dF4sF2rVJJSDAwMvzctyvv3aRF4dcZPjrvsyc7c2TvVKc0Ptbp/G//vhXC7fRu0cqr7zug9UC7dqkZRj/N167SNIQePV1H2bM9uKpXrljnpAt42c+YI7/3qrw7BMwYLh9/YNtcIx/ahps3Awfj7bPC3plNHw0DV4d4JTu3xobmT73LZnk8Yd/OEXovQHkC/XJcN/+5XGEP517Don9y2KxkFnxK/1aT4qrTPlwJX2GtOLjr57l9MlE/oj8h0rVSmZzL13Eja4sfd1EKH/+/DRp0gRPT09CQkKoWbOm6f6jR486EqJrWbBgAd999x0nT56kffv2/Prrr/j4+NC1a1e6dOni8kSoaIjBtp2XX/mxJyGggIG/3+U255Pg3qoGD7ZLAyAmDj6ebiUwAJattlChrMFdZe1tDcP+DTm3CA01+Hvn5Sf9yTgLBQoY+F0Rf1ISVKuWTvtL8cfFWZg2AwIC4LdNHpQtY6NIEfvf7P7mafz4U+6Zh6/xt7Fj5+Xxistk/M8nQfVq6XS4YvynXhr/Xy+Nf/Cl8W/RPJ0ff8o9f4CioRC18/JyzEkIzGT8a1WFLu0utYmD/023Hw4LKWI/VPbv5OoOLWHSLOf1/1b4FfHi9L7zjuUL8al45fPA0zfj+B2PPE3lXhmTnbMHkjDSDQrfnUvKYFeIiz5LxSqXYyoSUoBzZ5O4mJy1JN4/nw/TIlaTmJAMwMNPNnIcZpPc47r1+6effpr58689869EiRI0bdr0P7dhs9nw9vamePHi9O7dGx+fy98o0m+DyRT1ahlE/W3h0KUjffOXWml6n/lrQuxJ6D3Ik8RL7xlTv7DSppkNiwX2HbDw8XQP0tPtEyW/XGSlVbOsfaO4HdS+N50dO60cOWpPhhYv86LhfWmmNidPWhgwyI/zl+Kf9YU39zdLxWKBtT96Mn2WN4YBKSn25ZrVXT+uWaXxT2fHTo8rxt8z0/F/bpCvY/xnfuFFi2Zpl8bfg+mzvK4Yf49cNf731YK//oaDl8b/q6XQ7D5zm9iT0HMQjvH/9HNo19xeSWvVGFaus4+9YcCaDfY5R7lBcNUCnN6bROIJ+1lSh74/SVitwAztUhLTOB+dQqG78mW479TfiRS5Jz+WzMqKt7ktkfuoGF6SYqUKAdCua20if9yV5ce361qLHs81AyCoUD5aP1gz00NocnuzGNeaFXdJ9erVSU1NpVGjRjRs2JBKlSpRoUIF/K78ungd48ePZ9OmTcyePRsPD/s3jV27djF8+HCaNGlC//79b6jTF09k/6mZG361nz6dmgolixm882o6R49beGOsB/M/s38ozFto5cvFVmwG1Khi8Mrz6fj6QPIFeHe8B1F/W0hLgxZNbAx8ypbp4YZblWBkflrnrYr81YNPp3qTlmaheDEbw1+5wPETVsaM9WHmNPu3nQWLvFi42AubAeH3pDPk+Yv4+MC5RPhgnA/7D9jz6kYN03nyiRTToYXsEmDJWJbPDrll/BONnDncuPFXDz6d6kXqpfF//ZWLHDthZcxYb2ZNuwDAN4vsp88bl8b/hedTHOP//hXj37hhGk89kZoj41/Q6p/9GwXW/2o/fT41FUoWhzGvwtHjMGKs/SwxsJ8ZNncRl8YfRgyyn0qfnm5PjFashXQb3F0e3nwx4+n32WFoTPVs32bM1gR2zTuOLc3AP9SH6v1LkRSTwl+fHqbxWHtGd2ZfElvGH6T5hLszPH7btKP4FPTkrofCsr1vV9reI2fOxqrVoDy9BrbE08uDE0fjGfvaAoqWKMigkZ147uFPTG1feKszB/fFOk6f9/P35qV3ulCsVCEsFgtfffYTa5f/lSP9XPnXqBzZ7rWU+Wic0/a1f9AQp+0rM9dNhA4fPszu3bsdt127dnH8+HFKlCjBqlWrsryj33//nVq1ajmW9+/fz5EjR2jcuPENdzonEqHcIqcSodwipxKh3CKnEqHcIqcSodwiJxKh3CKnEqHcQolQzrnuRI5SpUpRqlQpWrS4fG2FpKQk9uzZc0M7ujIJAihTpgxlyrhvQiMiInLbyj0nft6ymype+/v7U61atWzuioiIiIhz5Z6LnYiIiIhT3K4XVFy2bBlt27alZcuWzJkzJ8P9EydOpGnTpnTs2JGOHTtm2uZqueccZxEREXFbMTExREREsHDhQry9venWrRt16tShXLlyjjbbt29n3LhxVK+e9fl0qgiJiIiImeHEWxZt3LiRunXrEhQUhL+/P61atWLlypWmNtu3b2fy5Ml06NCBt956i4sXr3+CkRIhERERcZmEhASOHj2a4ZaQkGBqFxsbS3BwsGM5JCTE8dNdAOfPn6dSpUq89NJLLFq0iISEBD75xHwJhMwoERIREREzJ1aEZs2aRfPmzTPcZs0yX6LdZrOZLtxpGIZpOV++fEydOpWyZcvi6elJ7969Wb9+/XVD1RwhERERcZmePXvSuXPnDOsDAgJMy2FhYWzevNmxHBcXR0jI5V9MPn78OBs3bqRLly6APVHy9Lx+mqOKkIiIiJg486yxgIAASpQokeF2dSJUv359IiMjiY+PJzk5mdWrV9OoUSPH/b6+vowdO5YjR45gGAZz5swxXQPxWpQIiYiIyG0vNDSUwYMH06NHDzp16kT79u0JDw+nT58+bNu2jUKFCvHWW2/xzDPP0Lp1awzDoFevXtfdrg6NiYiIiJlxe/6IbocOHejQoYNp3dSpUx3/b9WqFa1atbqhbaoiJCIiIm5LFSEREREx02+NiYiIiOR9SoRERETEbenQmIiIiJjc6I+h5maqCImIiIjbUkVIREREzFQREhEREcn7VBESERERE80REhEREXEDqgiJiIiImSpCIiIiInmfKkIiIiJipoqQiIiISN6nipCIiIiY6KwxERERETegREhERETclhIhERERcVuaIyQiIiJmmiMkIiIikvcpERIRERG3pUNjIiIiYqLT50VERETcQK6sCHWs0NjVXXAZW3Kyq7vgUlY/P1d3waVsFy66uguuZdhc3QPXsrjvd1eLdb+ru+BeVBESERERyftyZUVIREREcpAqQiIiIiJ5nypCIiIiYqKzxkRERETcgCpCIiIiYqaKkIiIiEjep4qQiIiImGiOkIiIiIgbUEVIREREzFQREhEREcn7VBESERERM1WERERERPI+JUIiIiLitnRoTEREREx0+ryIiIiIG1BFSERERMxUERIRERHJ+1QREhERETNVhERERETyPlWERERExERnjYmIiIi4AVWERERExEwVIREREZG8TxUhERERMdEcIRERERE3oIqQiIiImKkiJCIiIpL3qSIkIiIiZqoIiYiIiNxeli1bRtu2bWnZsiVz5sy5Zrsff/yRZs2aZWmbqgiJiIjIbS8mJoaIiAgWLlyIt7c33bp1o06dOpQrV87U7uTJk7z33ntZ3q4qQiIiImJiceItqzZu3EjdunUJCgrC39+fVq1asXLlygzthg8fTv/+/bO8XVWERERExGUSEhJISEjIsD4gIICAgADHcmxsLMHBwY7lkJAQoqKiTI+ZPXs2d999N1WrVs3y/pUIiYiIiJkTJ0vPmjWLiRMnZljfv39/BgwY4Fi22WxYLJdrSIZhmJb37NnD6tWrmTlzJtHR0VnevxKhK9RuFU6vkV3w8vHkwPajRPSfTtK5C5m2feHTpzi44ygLJlwuy+UL9OODFa8w7rnp7P3joJN6ffNqt6lO73e64eXtxYFthxn39GSSziVnqY3VauG5//UmvGElADat/JOpL38BQIGC+XhufC9KVSqOj683c8csZs2cDU6P70a439hXo/fb3ezxbjvCuKenZDL2mbexWi08N74X4Y0qArBpxZ9MHTYXgKqN7+bp9x/Fw9ODhFPn+PTFz9kfddjp8V2Puz/33X78W1ej16iHHbFF9JuaMf5rtClQMB8D/tebMlVLceH8RVbP/omlk1YDcFfNMvT74HF8/X2welj5+sNlrJ33iytCzFV69uxJ586dM6y/shoEEBYWxubNmx3LcXFxhISEOJZXrlxJXFwcDz30EKmpqcTGxtK9e3fmzp37n/vXHKFLAgsXYMgnTzLq8Y95quarnDgYR683u2ZoV/KuooxZNpSGHe81ra/VMpzxa0dQvHyYs7p8SwKLFODFaf146/8iePKeIZw4EMuTox/JcpvmjzWi5F1F6Vv9JfrVfJnwRpVo+FAdAF787BnijsbzbK1XeLn1Ozwb0ZMixQs5Pcascsuxn9qXtx7+iCfveZETB2J48p1uWW7T/NGGl8b+ZfrVfMUx9v4Bfrz+9WCmDptLv5rDmDBgBq/NHYiX9+31fcvdn/sa/wK8MOVpRnX7iKfCXyL6QCy93344y236jn2M5PMXeLraUAY1GkmtVlWp06Y6ACO+fJ7PR33Ds3VeZXjH9+n73qMUKxvq9Bizg8Vw3i0gIIASJUpkuF2dCNWvX5/IyEji4+NJTk5m9erVNGrUyHH/wIEDWbVqFUuWLGHKlCmEhIRcNwkCJUIONZpXZs/WAxz/JwaA5Z+tpVnXuhnadXi6OStn/8SGxb+b1nfsdz/v95nK6eizTunvrarZIpzdm//h+D57+fDbyd/T7JEGWW7j4WHFN58vXj5eePl44untSeqFVAoUzEeN+8P5YtQ3AJw8Fs/A+0ZwLj7RidHdGPcc+/1XjOsPNHvkviy3sY+9T4axL14ujPNnk/hz3Q4Ajuw+TlJCMpXqlndidNfn7s99dx//GvdXYfeW/Y7X+7dTf6BZt/uy3KZ89TtZM/dnbDaDtNR0Nq34kwYP1sbLx4sv3lnIH2vt8Z88Fs/Zk+cILlHYidHlbaGhoQwePJgePXrQqVMn2rdvT3h4OH369GHbtm03vV2XpOpjxoxh2LBhrtj1NQUXL0Tc0XjHctyx0+QL9Me/gK/pEMknL9pL4DWbVTY9fviD45zT0WwSXKIwcUdPOZbjjp66FK+fo0T8X21Wz/qRhg/VYe6hT/Dw9GDL91H8unwrFWqVJf7EaR4a1I5aravh5ePJN+O+5djeE06PMavcb+wLXTWu8ZmM/bXbrJ693j72Bz/Gw9PKlh+28evyrfgX8MM3nw8176/Clh+2cVfNMtxxdwkKFQ1ydoj/yd2f+xr/wpy88vWeafzXbrPr939o3r0BOzbuwcvHkwada5GWmk7qxVRWzVzveEybJ5viV8CXnb/tdV5w2ek2vaBihw4d6NChg2nd1KlTM7QrUaIEa9euzdI2czwReuWVVzKsW7t2LWfP2r89v/vuuzndhSyxWC0YRsaRT0+3uaA3Oc9itZJJuNiuiPe/2jw2ogtnT57j4eJ98fbz5o0FL/LQoHbs3LSXomVCSTqXzODGIylWNpQP173BsX3R7N16IAcjunkae7usj/1DnD2ZwMMl+tnH/pshPDSoLQs++o43uoyj11v/x1NjurNtwy7+XLeDtJS0HIzmxrn7c9/dx9+ahdf7f7WZ8vIc+ozpzie/vcPpmLNsXbOdu6+qev3fix3o9Fwrhj/wPikXUrM/CMlWOX5oLCgoiB9//JGKFStSu3Ztateujb+/v+P/t4u4o/EULlrQsVykWEHOnU7kYlKKC3uVc+KOnDTHW7wQCfGJXEi6mKU2DTrVZtWMdaSlppOUkMz3n/9E1SaViT9+GoBVM38E4Pg/Mez4ZTcVapkveHU7ccuxLxbkWL7m2F+jTYNOtVg1c/0VY7+Bqo3vxmKxcOH8BV5q8TbP3PsKnwyeRYm7ijoOL9wu3P257+7jH3vkVIaxPRefyMUr4v+vNv4Bfnz26jz61hzGsLbvYrHgiNHL25Nhs5+j6f/VY3CTN9i/7fabKJ5lhhNvLpbjidDLL7/MuHHj+O677yhWrBidO3cmMDCQzp07ZzpL3FW2rNlOxVplHBPb2vVuSuTyP1zcq5yz5fsoKtUpR7Fy9gm+7Z++n8hlm7PcZu+fB2jUtR4AHp4e1Gtfk12/7SX6YBx7t+6nRY/GAASFBHJ3vbvYs+UfZ4V2w9xv7LdRqXb5K8a1OZHLtmS5zd4/DtKoi30OlYenB/U61GDXpn0YhsHbS4ZSvsadADTuWpeUC6m33VlD7v7cd/vx/2EbFWuXu/x679OcyG+3ZLlN+z7N6fF6FwCCQgJo3asp677aCMDQGc/iX8CPQU3eJObQSWeFJLfIYmRW/8sBZ86cYeTIkRQrVoyff/6ZZcuW3fS2Wgf0ysaeXVarZTi9Rj6Ep7cnJw7EMrbvNIqWDmbQhF4812Ckqe0Lk57k4N/HTKdQA8zaNpa3e3ycY6dQ25KTr98oi2q1rkbvdx7By8uT4/tjGNvrY8LKhDJk8tM8c++wa7Y5d/o8BQrlp//4XpSrVpr0dBt/rtvOlKFfkJaaTnDJwgz4X2/C7gzBarWyaMJ3LJ+6Jlv6bPXzy5btXC03jD2A7cLF6zfKglqtq9H77Yfx8vbk+D8xjO09ibA7QxgyuQ/P1Hr1mm0uj/0Tl8d+7XamvDyHtNR0qjSsyDMf9sDT25P4E2f46NlpRB+IzZY+A2Bkz+HK3PjcB8CSPd9dc+P4W6w3cg3i/1arVVV6j3rY/nrfH8vYJ+3xD57Uh2frvHrNNudOn8cvvy9Dpz9DsbKhWCwWvhy7lLXzfqFSnXJ8tP5Njuw5Tkry5cNhn702jy0/3PxE3n+tunDt39XKCdUGRDhtX39OGOy0fWXGaYnQv+bPn8+KFSuYPn36TW8jpxKh3CA7E6HcKKcSodwiuxKhXCubEqFcK5sSodwoOxOh3EiJUM5x+lljXbt2pWvXjNdoERERkdvEbTB3x1nc9+uFiIiIuL3b65KfIiIi4nIWVYRERERE8j4lQiIiIuK2dGhMREREzHRoTERERCTvU0VIRERETDRZWkRERMQNqCIkIiIiZqoIiYiIiOR9qgiJiIiImSpCIiIiInmfKkIiIiJiorPGRERERNyAKkIiIiJipoqQiIiISN6nipCIiIiYWAz3KQmpIiQiIiJuSxUhERERMXOfgpAqQiIiIuK+lAiJiIiI29KhMRERETHRBRVFRERE3IAqQiIiImKmipCIiIhI3qeKkIiIiJhojpCIiIiIG1BFSERERMxUERIRERHJ+1QREhERERPNERIRERFxA6oIiYiIiJkqQiIiIiJ5X66sCKUnJrq6C+IiGntxZx75/VzdBZfRa9+5NEdIRERExA3kyoqQiIiI5CDDfUpCqgiJiIiI21IiJCIiIm5Lh8ZERETERJOlRURERNyAKkIiIiJipoqQiIiISN6nipCIiIiYWGyu7oHzqCIkIiIibksVIRERETHTHCERERGRvE8VIRERETHRdYREREREbjPLli2jbdu2tGzZkjlz5mS4//vvv6dDhw60a9eOYcOGkZKSct1tKhESERERM8Nw3i2LYmJiiIiIYO7cuSxevJivvvqKffv2Oe5PSkrirbfeYsaMGSxfvpyLFy+yaNGi625XiZCIiIjc9jZu3EjdunUJCgrC39+fVq1asXLlSsf9/v7+rF27liJFipCcnMypU6cICAi47nY1R0hERERMnDlHKCEhgYSEhAzrAwICTIlMbGwswcHBjuWQkBCioqJMj/Hy8mL9+vUMHTqUkJAQGjRocN39qyIkIiIiLjNr1iyaN2+e4TZr1ixTO5vNhsVicSwbhmFa/lfjxo357bffaNq0KW+88cZ196+KkIiIiJg5sSLUs2dPOnfunGH91Ye1wsLC2Lx5s2M5Li6OkJAQx/KZM2fYvn27owrUoUMHBg8efN39qyIkIiIiLhMQEECJEiUy3K5OhOrXr09kZCTx8fEkJyezevVqGjVq5LjfMAxeeukljh8/DsDKlSupUaPGdfevipCIiIjc9kJDQxk8eDA9evQgNTWVLl26EB4eTp8+fRg4cCBVqlRh1KhR9O3bF4vFQrly5XjzzTevu12LYdzAuWu3iRbWrq7ugoiI03nkz+/qLrhMemKiq7vgUt/b5jt1fw07f+C0fW1Y9KLT9pUZHRoTERERt6VDYyIiImKW+w4W3TRVhERERMRtqSIkIiIiJvrRVRERERE3oIqQiIiImKkiJCIiIpL3qSIkIiIiJpojJCIiIuIGVBESERERM5v7lIRUERIRERG35dYVodpta/Dk6O54+XhxIOoQHz41iaRzyVlqM+LrFyheLszRLuzOEKLW/83rnd6jVKUSDJ7cF7/8vhiGwWevzGHz6r+cHd51KX73jd+dYwfFf7XarcLpNbILXj6eHNh+lIj+00k6dyHTti98+hQHdxxlwYSVjnX5Av34YMUrjHtuOnv/OOikXt88jX8WuE9ByH1/dDWwSABTt49jcIPhHNsXzVNjHsWvgB8Tnpt2Q20A7rq3LK/Pf4HBDUcQd/QUH6x9g+8/X8+qGesoW600H657kweL9MKWbrvlfmcXxe++8btz7JC748+JH10NLFyAyZveZkjL0Rz/J4beb3bFr4AvHw/53NSu5F1Fee7Dx6l4bxk+H73YkQjVahlO33e7EVKqCC+0HJ1jiVB2/ehqbh1/Z//oauO27zttX+u/G+q0fWXGbQ+N1WwZzp7f/+HYvmgAlk1aTfPuDW+4jaeXJ0Nn9mfS4JnEHT0FgNXDSoGC+QDwL+BHyoWUnA7nhil+943fnWMHxX+1Gs0rs2frAY7/EwPA8s/W0qxr3QztOjzdnJWzf2LD4t9N6zv2u5/3+0zldPRZp/T3Vmn8s8ZiOO/mak45NBYVFUV4eDgAkZGRrF+/Hk9PT1q0aEHVqlWd0YUMgksWIe7oScdy3NFT5Av0x7+An6NEmpU2rZ9sxqnj8fyyeJOj3YT+0xi7ZiQPDmpPUEggox+JuK2+EYPid+f43Tl2UPxXCy5eiLij8Y7luGOnL8Xqazo89smLXwBQs1ll0+OHPzjOOR3NJhp/uZpTKkIjR44EYM6cOYwePZqwsDCKFCnC66+/zhdffOGMLmRgtVoy/XHdK5+0WWnz0KB2zHlngWPZy8eL4V8OZmyvj+leqh8vNH6d5z/tS3CJwtna/1ul+N03fneOHRT/1SxWC5nNkEjPox/gGn+5mlMPjX399dfMnj2bJ554gieeeII5c+a4LBGKPXySwkULOpaLFC9EQnwiF5IuZrlN2Wql8fD0IGr93442d95TEh9/H35bvhWAnb/t5dCOI1SsUz6nQ7ohit9943fn2EHxXy3uaLw51mIFOXc6kYtJufewzn/R+GeRYTjv5mJOSYTS0tKw2WwEBQXh7e3tWO/t7Y3V6pppSltW/0WluuUds//b92tJ5JLfb6hNeOO7+XPddtNjju2LJl+gP3fXuwuAomVCKXV3Cfb9cSAnw7lhit9943fn2EHxX23Lmu1UrFWGYmVDAWjXuymRy/9wca9yjsZfruaUOUJBQUE0adIEgFGjRjFmzBgiIyMZO3YsrVu3dkYXMjgTl8AHvT9hxPwX8PL25Pg/MbzfcyJ31SzDkKnP0K/GS9ds868S5YsSfTDWtN3zZ5N448GxPPtRL7x9vUlPS+ejvpM5sT/G2SH+J8XvvvG7c+yg+K929uQ5xj07neGzn8XT25MTB2IZ23ca5auXZtCEXjzXYKSru5itNP5ZcztMYnYWp54+v3//fhISEqhWrRpbtmzh3LlzjgTpRmTH6fMiIrlNTpw+n1tk1+nzuZWzT59v2uo9p+1r3aqXnbavzDj1goplypRx/L9mzZrO3LWIiIhklRtVhNz2OkIiIiIibv0TGyIiIpKR5TY4m8tZVBESERERt6WKkIiIiJjlzetpZkoVIREREXFbqgiJiIiIieYIiYiIiLgBVYRERETEzH0KQqoIiYiIiPtSRUhERETMNEdIREREJO9TRUhERERM3OnX51UREhEREbelREhERETclg6NiYiIiJkmS4uIiIjkfaoIiYiIiIlFP7oqIiIikvepIiQiIiJmmiMkIiIikvepIiQiIiJm7lMQUkVIRERE3JcqQiIiImJi0RwhERERkbxPFSERERExU0VIREREJO9TRUhERETMdGVpERERkbxPFSEREREx0VljIiIiIm5AiZCIiIi4LR0aExERETMdGhMRERG5vSxbtoy2bdvSsmVL5syZk+H+H374gY4dO/LAAw/w7LPPcvbs2etuU4mQiIiImBmG825ZFBMTQ0REBHPnzmXx4sV89dVX7Nu3z3F/YmIib7zxBlOmTGHp0qVUqFCBCRMmXHe7OjQmIpJLpCcmuroLIi6zceNG6tatS1BQEACtWrVi5cqV9O/fH4DU1FRGjhxJaGgoABUqVGDZsmXX3a4SIRERETFz4gUVExISSEhIyLA+ICCAgIAAx3JsbCzBwcGO5ZCQEKKiohzLBQsWpEWLFgBcuHCBKVOm8Pjjj193/0qERERExGVmzZrFxIkTM6zv378/AwYMcCzbbDYsFotj2TAM0/K/zp07x3PPPUfFihXp3LnzdfevREhERERMnHlBxZ49e2aasFxZDQIICwtj8+bNjuW4uDhCQkJMbWJjY3nyySepW7cur776apb2r0RIREREXObqQ2DXUr9+fSZMmEB8fDx+fn6sXr2aUaNGOe5PT0+nX79+tGnThmeffTbL+1ciJCIiIma34XWEQkNDGTx4MD169CA1NZUuXboQHh5Onz59GDhwINHR0fz999+kp6ezatUqAO655x7eeeed/9yuxTBuw2ivo4W1q6u7ICIi4jTf2+Y7dX+tq45w2r5W/jXq+o1ykCpCIiIiYpb7aiQ3TRdUFBEREbelipCIiIiYqSIkIiIikvepIiQiIiJmTryytKupIiQiIiJuS4mQiIiIuC0dGhMRERETZ/7EhqupIiQiIiJuSxUhERERMVNFSERERCTvU0VIREREzGyqCImIiIjkeaoIiYiIiJnmCImIiIjkfaoIiYiIiJkqQiIiIiJ5nypCIiIiYqaKkIiIiEjep4qQiIiImOk6QiIiIiJ5nypCIiIiYmbYXN0Dp1FFSERERNyWEiERERFxWzo0JiIiImY6fV5EREQk71NFSERERMzc6PR5t06EaretwZOju+Pl48WBqEN8+NQkks4lZ6nNiK9foHi5MEe7sDtDiFr/N693eo9SlUoweHJf/PL7YhgGn70yh82r/3J2eNel+N03fneOHRS/4nfv+MXMYhi570BgC2vXW95GYJEApm4fx+AGwzm2L5qnxjyKXwE/Jjw37YbaANx1b1len/8CgxuOIO7oKT5Y+wbff76eVTPWUbZaaT5c9yYPFumFLf32OR1R8btv/O4cOyh+xZ874//eNv+Wt3Ej2pR83mn7WnFkvNP2lRm3nSNUs2U4e37/h2P7ogFYNmk1zbs3vOE2nl6eDJ3Zn0mDZxJ39BQAVg8rBQrmA8C/gB8pF1JyOpwbpvjdN353jh0Uv+J37/glI6cdGtuwYQNVq1YlICCAxYsXExUVReXKlXnooYec1QWT4JJFiDt60rEcd/QU+QL98S/g5yiRZqVN6yebcep4PL8s3uRoN6H/NMauGcmDg9oTFBLI6EcibqtvRKD43Tl+d44dFL/id+/4syz3HSy6aU5JhN555x127txJREQEH330EVFRUdx///18//337Ny5k+HDhzujGyZWqyXTcb7ySZuVNg8NakdE38mOZS8fL4Z/OZixvT7mt+VbqVSnPG8tHcbu3/9xfGu4HSh+943fnWMHxa/43Tt+ycgph8Y2btzIrFmzCA4OZv369Xz66ad0796djz/+mF9++cUZXcgg9vBJChct6FguUrwQCfGJXEi6mOU2ZauVxsPTg6j1fzva3HlPSXz8ffht+VYAdv62l0M7jlCxTvmcDumGKH73jd+dYwfFr/jdO/4sMwzn3VzMKYmQr68vp07ZM+KwsDCSkpIASE5OxtPTNSeubVn9F5XqlnfM/m/fryWRS36/oTbhje/mz3XbTY85ti+afIH+3F3vLgCKlgml1N0l2PfHgZwM54YpfveN351jB8Wv+N07fsnIKVnIc889R5cuXWjXrh0lSpTg8ccfp169evz888889dRTzuhCBmfiEvig9yeMmP8CXt6eHP8nhvd7TuSummUYMvUZ+tV46Zpt/lWifFGiD8aatnv+bBJvPDiWZz/qhbevN+lp6XzUdzIn9sc4O8T/pPjdN353jh0Uv+J37/izzJZL5zbdBKedPn/kyBF++OEHDh06RHp6OkWKFKFp06aEh4ff8Lay4/R5ERGR3MLpp88Xfc5p+1px4mOn7SszTjsuVbJkSXr16uWs3YmIiMjNug3m7jiL215HSERERMStf2JDREREMqGKkIiIiEjep0RIRERE3JYOjYmIiIiZTYfGRERERPI8VYRERETExDDc54KKqgiJiIiI21JFSERERMw0R0hEREQk71NFSERERMx0QUURERGRvE8VIRERETGz6awxERERkTxPFSEREREx0xwhERERkbxPiZCIiIiYGDab0243YtmyZbRt25aWLVsyZ86ca7YbOnQoCxcuzNI2lQiJiIjIbS8mJoaIiAjmzp3L4sWL+eqrr9i3b1+GNv369WPVqlVZ3q4SIRERETEzDOfdsmjjxo3UrVuXoKAg/P39adWqFStXrjS1WbZsGc2bN6dNmzZZ3q4mS4uIiIjLJCQkkJCQkGF9QEAAAQEBjuXY2FiCg4MdyyEhIURFRZke89RTTwGwZcuWLO9fiZCIiIi4zKxZs5g4cWKG9f3792fAgAGOZZvNhsVicSwbhmFavllKhERERMTMiT+62rNnTzp37pxh/ZXVIICwsDA2b97sWI6LiyMkJOSW969ESERERFzm6kNg11K/fn0mTJhAfHw8fn5+rF69mlGjRt3y/jVZWkRERMwMm/NuWRQaGsrgwYPp0aMHnTp1on379oSHh9OnTx+2bdt206FaDCP3XT6yhbWrq7sgIiLiNN/b5jt1f618H3XavlZduPb1gJxBh8ZERETExHDiHCFX06ExERERcVuqCImIiIjZDczdye1UERIRERG3pYqQiIiImGiOkIiIiIgbUEVIREREzDRHSERERCTvy5UXVBQRERHJDqoIiYiIiNtSIiQiIiJuS4mQiIiIuC0lQiIiIuK2lAiJiIiI21IiJCIiIm5LiZCIiIi4LSVCIiIi4raUCImIiIjbUiJ0A5YtW0bbtm1p2bIlc+bMcXV3nC4xMZH27dtz9OhRV3fF6SZOnEi7du1o164d77//vqu743Tjx4+nbdu2tGvXjhkzZri6Oy7z3nvvMWzYMFd3w+kef/xx2rVrR8eOHenYsSN//fWXq7vkVGvXruXBBx+kTZs2vP32267ujmQz/ehqFsXExBAREcHChQvx9vamW7du1KlTh3Llyrm6a07x119/MXz4cA4ePOjqrjjdxo0b+fnnn1m0aBEWi4WnnnqK77//nhYtWri6a06xadMmfv31V5YuXUpaWhpt27alcePGlClTxtVdc6rIyEgWLVpEkyZNXN0VpzIMg4MHD7Ju3To8Pd3vI+PIkSOMHDmS+fPnU7hwYXr27Mn69etp3Lixq7sm2UQVoSzauHEjdevWJSgoCH9/f1q1asXKlStd3S2n+frrrxk5ciQhISGu7orTBQcHM2zYMLy9vfHy8qJs2bIcP37c1d1ymtq1azN79mw8PT05deoU6enp+Pv7u7pbTnXmzBkiIiLo16+fq7vidPv37wegd+/ePPDAA3zxxRcu7pFzff/997Rt25awsDC8vLyIiIigatWqru6WZCP3S+9vUmxsLMHBwY7lkJAQoqKiXNgj53rnnXdc3QWXKV++vOP/Bw8eZMWKFcybN8+FPXI+Ly8v/ve//zF9+nRat25NaGioq7vkVK+//jqDBw/mxIkTru6K0yUkJFCvXj1GjBhBamoqPXr04M477+S+++5zddec4tChQ3h5edGvXz9OnDhBkyZNGDRokKu7JdlIFaEsstlsWCwWx7JhGKZlyfv27t1L7969GTp0KKVLl3Z1d5xu4MCBREZGcuLECb7++mtXd8dp5s+fT9GiRalXr56ru+IS1atX5/3336dAgQIUKlSILl26sH79eld3y2nS09OJjIxk9OjRfPXVV0RFRbFo0SJXd0uykRKhLAoLCyMuLs6xHBcX55aHidzVli1beOKJJ3jhhRfo3Lmzq7vjVP/88w87d+4EwM/Pj5YtW7J7924X98p5vvvuO3755Rc6duzI//73P9auXcvo0aNd3S2n2bx5M5GRkY5lwzDcaq5QkSJFqFevHoUKFcLX15f777/frY4GuAMlQllUv359IiMjiY+PJzk5mdWrV9OoUSNXd0uc4MSJEzz33HN88MEHtGvXztXdcbqjR48yfPhwUlJSSElJYc2aNdSsWdPV3XKaGTNm8O2337JkyRIGDhxIs2bNePXVV13dLac5d+4c77//PhcvXiQxMZFFixa5zYkCAE2bNuXnn38mISGB9PR0NmzYQOXKlV3dLclG7pPW36LQ0FAGDx5Mjx49SE1NpUuXLoSHh7u6W+IEn332GRcvXmTMmDGOdd26deORRx5xYa+cp3HjxkRFRdGpUyc8PDxo2bKlWyaE7qpp06b89ddfdOrUCZvNRvfu3alevbqru+U0VatW5amnnqJ79+6kpqZy33338dBDD7m6W5KNLIZhGK7uhIiIiIgr6NCYiIiIuC0lQiIiIuK2lAiJiIiI21IiJCIiIm5LiZCIiIi4LSVCIiIi4raUCImIiIjbUiIkIlnSpk0bGjVqxN69e13dFRGRbKNESESy5Ntvv6V06dKsWrXK1V0REck2SoREJEs8PDyoWbOmW/3gqojkffqtMRHJkgsXLvDdd9+hX+URkbxEFSERyZKIiAhCQkI4fPgw58+fd3V3RESyhRIhEbmuP/74gxUrVjBhwgQKFCigCdMikmcoERKR/3Tx4kVeffVV3nzzTYKCgqhYsSK7du1ydbdERLKFEiER+U/jx4+nWrVqNG3aFICKFStqwrSI5BlKhETkmqKioli5ciWvvvqqY12lSpVUERKRPMNi6BQQERERcVOqCImIiIjbUiIkIiIibkuJkIiIiLgtJUIiIiLitpQIiYiIiNtSIiQiIiJuS4mQiIiIuC0lQiIiIuK2/h/cCxVKVMNttQAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -2716,10 +2715,6 @@
       "Learning rate  =  0.1\n",
       "Lambda =  0.1\n",
       "Accuracy score on test set:  0.8805555555555555\n",
-      "\n",
-      "Learning rate  =  0.1\n",
-      "Lambda =  1.0\n",
-      "Accuracy score on test set:  0.8722222222222222\n",
       "\n"
      ]
     },
@@ -2727,6 +2722,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Learning rate  =  0.1\n",
+      "Lambda =  1.0\n",
+      "Accuracy score on test set:  0.8722222222222222\n",
+      "\n",
       "Learning rate  =  0.1\n",
       "Lambda =  10.0\n",
       "Accuracy score on test set:  0.8666666666666667\n",
@@ -2734,10 +2733,6 @@
       "Learning rate  =  1.0\n",
       "Lambda =  1e-05\n",
       "Accuracy score on test set:  0.08611111111111111\n",
-      "\n",
-      "Learning rate  =  1.0\n",
-      "Lambda =  0.0001\n",
-      "Accuracy score on test set:  0.10555555555555556\n",
       "\n"
      ]
     },
@@ -2745,6 +2740,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Learning rate  =  1.0\n",
+      "Lambda =  0.0001\n",
+      "Accuracy score on test set:  0.10555555555555556\n",
+      "\n",
       "Learning rate  =  1.0\n",
       "Lambda =  0.001\n",
       "Accuracy score on test set:  0.10555555555555556\n",
@@ -2752,14 +2751,6 @@
       "Learning rate  =  1.0\n",
       "Lambda =  0.01\n",
       "Accuracy score on test set:  0.17777777777777778\n",
-      "\n",
-      "Learning rate  =  1.0\n",
-      "Lambda =  0.1\n",
-      "Accuracy score on test set:  0.08333333333333333\n",
-      "\n",
-      "Learning rate  =  1.0\n",
-      "Lambda =  1.0\n",
-      "Accuracy score on test set:  0.08888888888888889\n",
       "\n"
      ]
     },
@@ -2767,10 +2758,24 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Learning rate  =  1.0\n",
+      "Lambda =  0.1\n",
+      "Accuracy score on test set:  0.08333333333333333\n",
+      "\n",
+      "Learning rate  =  1.0\n",
+      "Lambda =  1.0\n",
+      "Accuracy score on test set:  0.08888888888888889\n",
+      "\n",
       "Learning rate  =  1.0\n",
       "Lambda =  10.0\n",
       "Accuracy score on test set:  0.09444444444444444\n",
-      "\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "Learning rate  =  10.0\n",
       "Lambda =  1e-05\n",
       "Accuracy score on test set:  0.17222222222222222\n",
@@ -2782,20 +2787,10 @@
       "Learning rate  =  10.0\n",
       "Lambda =  0.001\n",
       "Accuracy score on test set:  0.10555555555555556\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "\n",
       "Learning rate  =  10.0\n",
       "Lambda =  0.01\n",
       "Accuracy score on test set:  0.1388888888888889\n",
-      "\n",
-      "Learning rate  =  10.0\n",
-      "Lambda =  0.1\n",
-      "Accuracy score on test set:  0.11388888888888889\n",
       "\n"
      ]
     },
@@ -2803,10 +2798,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Learning rate  =  10.0\n",
+      "Lambda =  0.1\n",
+      "Accuracy score on test set:  0.11388888888888889\n",
+      "\n",
       "Learning rate  =  10.0\n",
       "Lambda =  1.0\n",
       "Accuracy score on test set:  0.10555555555555556\n",
-      "\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "Learning rate  =  10.0\n",
       "Lambda =  10.0\n",
       "Accuracy score on test set:  0.09444444444444444\n",
@@ -2854,9 +2859,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkIAAAJgCAYAAABmwww9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAABfFElEQVR4nO3deZxN9R/H8fe5s5nBWGeMPcqWjC1CyBKyZClKChElWySlUopEEooSQogsP/uSLSUyKArJVhGyzRCDMcu99/z+uBpOM0LN3GvmvJ6Pxzw4937vOZ/Pveee+72f7/eca5imaQoAAMCGHL4OAAAAwFfoCAEAANuiIwQAAGyLjhAAALAtOkIAAMC26AgBAADb8vd1AIDdvPXWW/ruu+8kSb/++qsKFiyoLFmySJLmzJmT/P/r6dq1q1566SXdcccd12zz/vvvq2jRomrZsuV/jvsvvXr10tatW/X1118rODg4zdYLAL5gcB0hwHfq1aun999/X+XKlfN1KDfk5MmTatGihcqXL686deroscce83VIAPCfMDQG3ELGjh2rp556Sg8++KBeeOEFxcTEqHv37nr00UdVr149tW/fXqdPn5bk6UTt2rVLW7ZsUdu2bdW/f3+1bNlSzZo107Zt2yRJAwYM0OTJkyVJ5cqV09ixY9W2bVvVq1dPs2bNkiS5XC4NGzZMDRo00EMPPaQ33nhD7du3TzW+uXPnqnr16mrVqpWmT5+uq79H7dixQ23atFGzZs3UqlUrRUVF/ePtpUqV0pkzZ5If/9fyli1b1Lx5c7Vt21YPPvigEhMT9dZbb6lNmzZq0qSJGjdunJzfxYsX9fLLL6tRo0Zq0qSJRo0apbi4OFWpUkUHDx5MXveTTz6ptWvXpslrBCBzoSME3GL++OMPLVy4UCNHjtTy5ctVoUIFzZkzR19++aWyZMmixYsXp3jMzp071blzZy1atEgPPfSQRo8enaJNYmKicuXKpdmzZ+uDDz7QsGHDlJCQoHnz5mn37t1atmyZZs+erSNHjqQal9Pp1Ny5c9W8eXPVq1dPp0+f1jfffCNJSkpKUo8ePdSjRw8tW7ZMQ4YM0dtvv63ExMRUb3e73f/4HBw4cEDvvfeeli5dqt27d+vUqVOaM2eOVqxYoVatWmnSpEmSpA8++EAJCQlasWKFFi1apO3bt2vXrl1q2bKl5s2bJ0k6fPiwDh06pLp1697U6wDAHpgjBNxiKlSoIH9/z1uzY8eO+v777zV16lQdOnRIBw4cUPny5VM8pkCBAipTpowk6c4779TChQtTXXf9+vUlSWXLllViYqLi4uK0fv16tWjRQkFBQZKkRx99VDNmzEjx2C+//FJut1u1atWSv7+/mjRpounTp+u+++7T/v375XA4VKdOHUnSXXfdldyJSe3268mfP78KFiwoSapYsaJy5MiR3EnbsmWLsmbNKknatGmTXn75Zfn5+cnPz0+fffaZJCk8PFxPPPGE+vbtqzlz5qh169by8/O77nYB2A8dIeAWExISkvz/d999Vzt37tTDDz+se+65R06nU6lN67t6grVhGKm2kZTc2TEMQ5JkmmZyp+svDkfqheJZs2YpPj5eDRs2lOSpMEVHR+vAgQPy8/NLXudf9u/ff83bixcvbrktMTHRsnz1c/D1119r6NCh6tSpk+rXr6/ixYtryZIlkiR/f3/L+o8fP64sWbKoWLFiKlWqlL788kstW7ZMc+fOTTUnAGBoDLiFbdy4UR07dlTLli2VJ08ebdq0SS6XK023cd9992nJkiVKTEyU0+lMtZp08OBBfffdd1qwYIHWrVundevWaePGjapSpYqmT5+u4sWLyzAMffvtt5Kk3bt3q2PHjte83e12K3fu3Nq1a5ckadmyZdeM79tvv1XdunXVrl073XXXXVq7dm3yc1C9enUtXLhQbrdbiYmJ6t27d/IZee3atdOIESMUGRmpfPnypelzBiDzoCME3MJ69OihESNG6MEHH9Szzz6rSpUq6fDhw2m6jYceekiRkZFq2bKl2rZtq4CAgBSnxX/++ee6//77VbRo0RTxLV68WBcuXNDYsWM1btw4tWjRQoMGDdLYsWMVGBh4zdsHDhyowYMHq1WrVvr1118VFhaWanxt27bV1q1b9eCDD6pVq1YqXLiwjh49KrfbrZ49eyogIEAtWrRQy5Ytdd999yVXrOrWrau4uDi1bds2TZ8vAJkLp88DNrdx40adPn1aLVq0kOS5zlFQUJD69+/v48j+mx9++EEDBw7UsmXLUgzPAcBf6AgBNnfy5EkNGDBAMTExcrvdKl26tN544w1lz57d16H9ay+99JK2bt2q0aNHq0KFCr4OB8AtjI4QAADIMC5cuKC2bdvq448/VqFChSz37dmzR6+++qouXryou+++W2+++WaKE0L+jjlCAAAgQ9ixY4cee+wxHTp0KNX7+/fvr9dff12rVq2SaZo3dMYoHSEAAJAhzJ07V4MGDVJ4eHiK+/744w/Fx8cnD4c/9NBDWrly5XXXyXWEAACAz8TGxio2NjbF7aGhoQoNDbXcNnTo0Guu59SpU5azT8PCwnTy5Mnrbj9DdoQeqPC6r0PwGeNivK9D8K0LF30dgU8lliro6xB8KuC0vV9/1+79vg7BZ/yLFvZ1CD71xcFRXt2e+0RJr21r2rxeGjduXIrbe/bsqV69et3wetxut+UMUdM0b+iM0QzZEQIAAJlDx44d1apVqxS3/70adD0RERGKjo5OXo6JiUl1CO3v6AgBAAALt/75h5HTUmpDYP9GwYIFFRQUpG3btqly5cpavHixateufd3HMVkaAABkWF27dk3+uZ6RI0dq2LBheuCBBxQXF6cOHTpc9/FUhAAAgIXL9F5F6N90RNatW5f8/0mTJiX/v3Tp0vrf//53U+uiIgQAAGyLihAAALBwyz4/OkFFCAAA2BYVIQAAYOHNs8Z8jYoQAACwLSpCAADAwmUyRwgAACDToyIEAAAsOGsMAADABugIAQAA22JoDAAAWLgYGgMAAMj8qAgBAAALJksDAADYABUhAABgwQUVAQAAbICKEAAAsLDPT65SEQIAADZGRQgAAFhwHSEAAAAboCIEAAAsXPYpCFERAgAA9kVFCAAAWHDWGAAAgA1QEQIAABYuGb4OwWuoCAEAANuiIwQAAGyLoTEAAGDh5vR5AACAzI+K0GVVa5VUp173KyDQXwcPnNDoNxYr7mKCpU29JpFq3bGmTJlKiE/S+HdW6MDPx5Lvz5svVGNmPK3uj3yk2LNx3k7hP6lSp7Q69WvsyX/fcY15ZZ7iLiSk2rbfO4/o0P4Tmj/5G0nSq2OfUP6ieZPvjyiUS7u2HtSb3T71Ruhpokr9sur0SgtP/nv+0JjnZyruQnyqbfu9316H9hzT/I+/THHfwMlddfrEOY1/dW56h5ym7ql2u7p0rauAAD/99tspjRyxXHFxiZY29zcoq0cerSZTUkJ8ksaNXa39+05Ikpq3qKQmTSsoMMhfB/af0MgRy5WU5PJBJv9d1Vql1KlPQwUE+HmOBa8vTHksaFZerZ+sJdOUEuITNX7Ych34+Q8fRXzzqjappKfebqeAoAAd3Pm73usyXnHnL91QG4fDoZ7jnlJk7TslSVu/2K6J/WdIkqo1q6z+n/ZU9OGY5PX0rf2aLl3jvXQrqFK3jDq92NTz3t97TGNemnPtY9/Ix3Ro33HNn/R18m1Nn6ihBx6tpsAsAfrlp6Ma89JsJSVmzH3/akyWtpkcuUL0/JstNeSF2erS8gMdP/qnOj3XwNKmUNE86tK3kQb2mK4ej47X55PW67X32ibfX79ZeY2c8pTyhod6O/z/LEfurHp++CN6q+cMdW30rk4cOa1OLzRO0a7w7eEaNv1p1Xwg0nL70F6fqWfzMerZfIw+ePV/uhAbrw/fWOit8P+zHHmy6fkx7fVWl0nqWmuwTvweo06vtkjRrnCJfBo2r7dqNquY6npad79fd91ze3qHm+Zy5AhR/5ea6Y3X5+vJDhN0/NhZdXm6rqVNocK59XS3+hrw4mw902WyPpvxrd4Y/LAkqWatUmr50N3q32+WnnpyogID/fVwm6q+SOU/y5ErRM8PeUhD+s5Sl+ZjPMeCPo0sbQrdllddnm+sgd2mqUebcfp84td6bUw7H0V883LkDdULU7prcOuR6lzmOR0/eFJPDX/8htvc3762CpUsoKcj++mZCi8osvadqt26miTpzhql9L/3lqhbpf7Jf7dyJyhH7qx6fkRbvfXsp+paf7hOHD6jTi82S9Gu8O3hGjbzWdVsbD321WhUTs071tLLT3ysbg1HKDAoQC073+et8JFG6AhJqlT9Du3ffUzHDp+RJC2f953q/W2HT0pyaczgxToTc0GStH/3MeXKm03+/n7KHZZdNeqW0avPTvd67GmhUs2S2r/riI797vkWt2zWZtVtnvLDvtnj1bVq3lZtWLkz1fX4B/ip34hHNXHoEsWcOJeuMaelSveV0f4ff9exg9GSpGXTNqjuQ1VStGv25H1aNWuTNiz9IcV95aqXUOW6d2r59I3pHm9au7tKMe3be1x//PGnJGnJku2qf39ZS5ukJJfee3e5zpy5KEnav++4cufOJn9/hxo2ukv/m7tF58/HyzSlMaNWau3qXV7PIy1UqlFC+3f/oWOHT0uSls/ZonpNy1vaJCU6NWbQQp2JOS9J2r/7j+RjQUZQuWGk9n/3q/74xVPNWzp+teq3q3XDbRx+DmXJGqSAIH8FBAXIP9BfifFJkqSy1UupQt279PEP72rU+sEqV6uMFzO7eZVqldL+nUd07NDlY99n36pui0op2jXrUFOr5mzRhhU7LLfXf+huLfjka104FyfTNDVu4DytW7jNK7GnN5cMr/35mteGxn799VetWrVKJ06ckMPhUHh4uGrVqqVy5cp5K4RrCsuXQ9FXfXBHn4xV1uxZFJI1KLkkfvLYWZ08dja5zTMvPKDNX++T0+nSmejzGtJvtrfDTjN5I3Io+viV/GNOnFPW7MEKyRZkKRGPH7xYkqfjlJpGbaro9MlYbVqzO30DTmN5C+RU9LE/k5djjp9V1tBghWTLYhke+2u4q9J91oN77nw51G1Iaw1s96GatK/pnaDTUFh4qKKjY5OXo6NjlS1bFoWEBCYPj508cU4nr3qPPNvjfkVtOiCn061ChfIoZ87jGjbiUeXNk127dh7RxAnrvJ5HWgiL+BfHgv5NtPmrvXI6M8ZwSFjhvIo+emXoKvroaWXNEaKQ7MHJw2P/1Gb1p1+rduvq+vzoBPn5+2nb6h3avMzz4R97+rzWfb5RG+ZvVtl7S2vwohf1TIUXFPPHGe8meYPy5s+p6ONnk5djTpy7/N7/27Fv0AJJUqVa1mNfoWJh2p8nm4Z8+rTy5AvVT9/9psnDlnkldqQdr1SEZs6cqeeff16SVK5cOZUt6/m2+dprr2nKlCneCOEfGQ5DpplyirzLlfIi40FZAvTqu48of+HcGnO5Y5DRORyGdIP5/5OWT9bS5x+lnDdzq3M4HFIqZ0jcSP5+/g4NGN9JEwfN15+nYq/b/lbkMIzUXn65UzltJEuWAL3+RisVKJhLI99dLsnzHFS+u5iGvLFQzz4zRdlDs6hzl4w5PGAY1zgWuFM5FgQH6NX32nqOBRloKNjhuMbrfdX+/k9t2g9qo3PRsXokoqseK9xN2XNnU+vnPcNJb7YeqQ3zN0uSdn+7V7s37VPlBpEpV3SLuPax78ZOmfLz91PFmqU0rOc09W4+WtlzhOjJF5qkdZg+4TYNr/35mlc6QtOnT9fs2bPVvXt3tWnTRm3atFH37t31+eefa+5c308qjT5+VnnCsicv5w3PrvPn4pRwudz7l7CIHBo9ratcLlMvdZ2qi+dv3bHvm3Hq2FnlvmpuU958oTp/Nk4Jl5L+4VFWt99ZQH7+Du3a+lt6hJiuTv1xRrnz5Uhezps/p87/eVEJlxL/4VEeJcoXVUSRvOr6xsMat+ZlNelQS/e1qKTnRmacOSOnTp1TnjzZkpfz5s2u2NhLiv/b/h8eHqoPxnWQ222qX5+Zunj5G/PpmAva8M0+xcUlyul0a+2an3TnnQW9mkNaiT5xVnmufi+Eh3qOBZdSORbMeMZzLHhqcoY6Fpw6HKM8+XMlL+ctmFuxZy4oPi7hhtrc26qqVk5dJ2eSU3GxcVozfb3K17lLWXOE6LGXW1m2ZRiGnLfwpPlTx85a3/sROS4f+67/3pekM6ditWnVTsVdSJAzyaV1i7apdKWi6RUu0olXOkL+/v5yOp0pbo+Pj1dAQIA3QvhH26J+VenIwipQJLckqWnrKor6eq+lTXBIoEZ80knfrvtZwwfMU2JCynwyqu0b96t0hSIqcPnMryaPVVPUlzc3vFWuanHtiPo1PcJLd9u/3qPSlW9TgWJhkqQmHWoqalXq86D+bu+2g+pw90D1bDBMPRsM04rpG7R+8Xa9/8Ks9Aw5TX3/3UHdeWdBFSzo+eB7sHklbfp2v6VNcHCg3hvzuDZs2Ke3Bi9SYuKV/f+b9XtVp24ZBQZ6RtrvrVlS+/Yd914CaWjbpl8uHwvySJKaPlJVUV/tsbQJDgnUiKld9O3anzX8xTkZ7liwbfUOlalWQgXviJAkNevWUFGLv7vhNr9sP6j7HqkhyVMRqf7g3dqzZb8unY9X8+4PqOZD90iSbq9wm0pVvUPfrfzRS5ndvO0b9ql0xaIqcNvlY1+7Gopa89MNP37jFztUq2kFBQZ5PseqNyyn/TuPpEus3sYcoTTWrVs3tWzZUtWrV1dYWJgMw9CpU6e0efNm9e3b1xsh/KNzf17UqEELNfDdtvIP8NPxo2f07sAFKnFnAfUZ1EI9Hh2v5m3vUXj+nKpRr4xq1LsyR2TA05/q/LlL/7D2W9+5Mxc1esA8vTr2CfkH+un44TMa2X+2StxVSM+93Vo9m4+57joKFM2rk7foPIDrOXf6gkb3+UyvTuoi/0B/HT8UrZG9p6tE+SJ6buTj6tlgmK9DTFdnz8ZpxDvLNOjNhzz7/7E/NfztpSpZKkL9+jfVM10mq2WrysqXL4dq1iqlmrVKJT+2//OztGTxNmUPzaKPJ3aWw2HowIET+vijL3yY0b937sxFjXptvgaOeszzXBw5o3df+Z9K3FlQfd5spR5txqn5Y9U8x4L6d6pG/TuTHzugy+QMcSw4Gx2rkZ0/0mvz+ikg0F/Hfj2pER3HqWTl4np+0rPqVqn/NdtI0vjnP1WvsU9p8s9j5Ha59cO6XZo7YoncbrcGtXxHPT54Sh3eeERup1tD245W7OnzPs742s6dvqDR/Wfr1Y+e9Lzev8doZL/PVaJcIT03/FH1bPrePz5+2YxvlS1HiMYu7SuHn0O//HRUnwzNHFMm7MQwUxsQTwcnT55UVFSUTp06JbfbrYiICFWvXl358uW76XU9UOH1dIgwYzAuZpwSfLq4cNHXEfhUYqmMOeSUVgJO2/v1d+3ef/1GmZR/0cK+DsGnvjg4yqvb++7wbV7bVpUih7y2rdR47ayxfPnyqWXLlt7aHAAAwHVxZWkAAGBxK5zN5S1cUBEAANgWFSEAAGBxK5zN5S1UhAAAgG3REQIAALbF0BgAALBwmfapk9gnUwAAgL+hIgQAACzcNqqT2CdTAACAv6EiBAAALDh9HgAAwAaoCAEAAAvOGgMAALABKkIAAMDCzRwhAACAzI+KEAAAsHDZqE5in0wBAAD+hooQAACw4KwxAAAAG6AiBAAALPitMQAAABugIwQAAGyLoTEAAGDhMrmgIgAAQKZHRQgAAFhwQUUAAAAboCIEAAAs3FxQEQAAIPOjIgQAACyYIwQAAGADVIQAAIAF1xECAACwASpCAADAwk4/upohO0IvL5rt6xB8Jt7MkC9Zmok3A30dgk/FuwN8HYJPFQ447esQfOq8O4uvQ/AZl/b4OgRkUvb+VAUAACm4uI4QAABA5kdFCAAAWLjFWWMAAACZHh0hAABgWwyNAQAACyZLAwAA2AAVIQAAYMGPrgIAANgAFSEAAGDh5kdXAQAAMj8qQgAAwII5QgAAADZARQgAAFi4uY4QAABA5kdFCAAAWLj40VUAAIDMj4oQAACwYI4QAACADVARAgAAFswRAgAAsAE6QgAAwLYYGgMAABZMlgYAALABKkIAAMDCRUUIAAAg86MiBAAALNycPg8AAJD5URECAAAWzBECAACwASpCAADAwm0yRwgAACDToyIEAAAsXDaqk9gnUwAAgL+hInTZzi3SwqmSM0kqWEzq2FcKzmpts26x9NUSKSBQyl9EatdDyhp65f4zp6ThfaTXxkvZc3g1/DS3e4uppVPdciZJBYpJj/V1KDirdcx4/WK3NiwxFRAk5StsqE1PQ1mzZ8xx5T1bXfpiapKcSVL+Yoba9AlUlr/l+9O3Lq3+LEmGQwrJbqh17wDlKeBQ3HlTC8Yl6divbgVmkao08Ne9LTLWW2vf1iStnZYgZ5IUcZtDLfoEK0uINf+fNyXpq5kJMgwpOLuhFr2DlTu/Q26XqeUfx+vQLpckqcTd/mr0VJAMI+PsCzu2GPrfFD85k6RCxUx1ft6V4v2/dpFDXy5xKCBQKlDE1BM9XcoWKiUmSDPG+engXkOmpOKlTbXv6VJgkE9S+c/s9t6/2u4tbi2f6rqcu6G2ff1SHAe+WezSxiXu5Nwf7umXKXL/O+YI2cz5s9K096Rur0lDJkthEdKCKdY2e3+UVs6Vnh8uvT5euquKNOP9K/dHrZHefUE6ezrj7zznz5qaOcqtzq85NHCyn/LkN7R0qmlps3+HqbXzTPUY7tBLH/npzirS7PfdPor4v7lw1tTcUYlqPzBQL36SRXkiHPpiapKlTVKCqc/fTVSH1wLV98MsKnOPnxZ/7GmzdEKSgrJIL0wIUs/RQdr7vUs/b3H5IpV/5eI5txaNiVfbV4L13MRsyhXh0Jqp8ZY2SQmm5o+8pLavhqj7uGwqVdVfyz/2tNmxLkkxR93q8WFWdR+XVYd+cmr3RqcvUvlXYs9Kk0f6qcfrTg2b4lRYflPzJlsPjXt+NLRirkP933Fq8MdORVZ1a9oYP0nS0lkOuV3S4AlODfnYqaQEafnsjHlotdt7/2oXzpqaPcqlTq/565XJAcqT39Cyqda8Duxwa908t7oP91f/jwJUpopDc9/POO91pC5jvlvT2M/bpaKlpHwFPcv3NZO2rJPMq97/hw9IZSpKucI8y5VqeqpIziTp7Gnpxyipz9vejz097N1uqkhJKbygp1NXs6mh79eZMq96Qo4cMFWqgqFcYZ425Wsa+mmL5EwyU13nrWz/dpcKl3QorKDn7VCtmZ9++Mplydd9+XgYf9Hzb+IlU/6Bnv8f/cWtSvX95PAz5B9gqExVP+3amHEOjr9sd6lACT/lKej5YK/SNFA7v05KNf+Ei57bEuM9ldG/7kuMN+VM8rwfXE4lPzcZwe5thoqVMhVx+f1fr5lbm9c5LO//QwcM3VnRVO7L7//K95r6cYshZ5JUqpypB9u55HBIDj+pyB2mYk5mzC9EdnvvX23fdlOFSxoKu5z7vU0d2rbObcn96AFTJSsYynk598iahnZvMTN87qlxy+G1P1/zfQS3gDPRUu68V5ZzhUnxcYbi467cVqy0pyp0+qRn+dtVkjPJ0IVYKWce6dnXpXyFvBp2ujkbreSDnCTlDJPi42R5Pm4rbejADlNnTnoOAFtWm3IlSRdjvR3tf3cuxlSOq/LNkdfz2idclW9QsKGHegbow+cTNOTxS9q01KkmnQMkSUVKObT9S5dcTlMJl0zt+tal82cyzoHxXLTbkn9oXkMJcVLCpSttgoINPdgjiya9cFHvtj+vLcsS1aBTFklSxfsDFJzN0MgO5/Vu+/PKk9+h0vcEeDuNf+1MtKHcYVder1xh0qW/vf9vL21qz4+GYi6//zesdiS//++621TE5fd+zElpzQKHqtTOmBUSu733r/ZntJncwZGkHJdzv/o4UORvuW9d7c4UuWckS5cuVZMmTdSwYUPNnDkzxf27d+/Www8/rObNm+uZZ55RbOz1Xxw6QpJMt5TadAaH35X/lygnPfiE9NFgaWhPyeGQsmY35Z9xjvc3zDSl1H5m5urn4/a7DD3wuKFPBrv1bi+XDEMKya4M+XyY7lTTteR7/KBba2c59cKEIL02M1j12gZoxluJMk1TzboGSIY0pmeCpg1OVImKDvlloClCpnmN/f+qo8PJQy59/XmCen2cTf1nZNd9jwZq9ttxMk1TX81KUNYcDr04M7temJZdcedNfbsgwXsJ/Ec3kn/JcqZaPOHS2Df99WYPPzmMlO//Q/ulYc/7q34LtypUyzgd4avZ7b1/tWvtB4Yld4caPe6nKYOdeq+XM9PknhqXaXjt70adPHlSo0eP1qxZs7Ro0SLNmTNHv/zyi6XN0KFD1bt3by1ZskTFihXT5MmTr7terxyujx079o/3FyhQwBthXFPucOng3ivLZ2OkkGymgrJcuS0+TipZTqr5gGf5zxhp8TQpa3bvxuoNucKkQ3uvHMjPxUgh2aSgLFd22Pg4U3dEGqr+gOfT4myMqeXTTYVkwOcjZ7ihw/uufIOPjTEVnE0KvCrf/dtcuu1Oh/IU8ORbo5mflk5MUlyslJhgqulTAQq5PGFy3ewk5SmQcYZGcoYZ+mPfldf7/OmU+R/Y5lSRO/2VO78n/6pNA/XFpATFxZraE+VUk2eyyD/AkH+AVLF+gHZ/69S9D3k9lX8ld5ipX/de6fX8GePp5AQFX2lzKU4qFWmqdmNncpsF0xzJ7/8tXxmaMc5Pj/dwqXq9jNkJkuz33r9arjBDh/deOQ5cK/fbIw1Ve8DT8zkbY+qL6e4Mn3tGsWnTJlWrVk05c+aUJDVq1EgrV65Uz549k9u43W5dvOiZw3Dp0iXlyHH9M5e8UhF65pln1KhRI7Vv315PPPGE5a99+/beCOEf3VlZ+m2vdPIPz/L65VKF6tY2Z09LI1+ULl2eI7Lic6lKndS/QWR0pSsb+n2vdOoPzwFx43JT5apbEz13WvrgRbcuXZ4zsnq2qcp1jAx1ptBfSlby0+G9bkX/4TkIbl7hUtnqfpY2Be9w6Lddbp3/05Pv7ii3cuczlDWHoc0rXFo9wzNx+vyfpraucqlinYxTErq9kr+O7HPp9B+eeU3frUhU6WrWr7gF7vDToV1OXfjT8xzt2exUrnyGsuZwKP/tftq90ZO/y2lq7xanCpW2Pn+3srsqm/ptj6ETl9//Xy1zqGJ1a2fm7Gnpnf7+ye//pbMcuqeuW4Yh/RhlaOZHfuo3LGN3giT7vfevVqqyoUN7TUVfzn3Tcrfu+lvusaelD190Kv5y7mtnu1WpjiPD5+5rsbGxOnr0aIq/vw9rnTp1SmFhYcnL4eHhOnnypKXNgAEDNHDgQNWsWVObNm1S27Ztr7t9w7x6Jlg6uXDhgtq1a6dBgwapcuXK/3l96w+VTIOorHZtlRZOkZxOKSy/1Lm/FH1Cmj7ac5aY5Dl9/uulnhLqHWWlx3ooxSmyTzcy9N5cM91On483vfMBu3ur5xRal1PKm196or9Dp49Ln49x66WPPB9y3yxxa8NSU6ZbKl7WUOsehgKD0veAEG+mzyzcPVtdWvlpklxOKXd+Q21fCNTp46b+936i+n7oKQ1uWurUpqVO+fl7Th9v2T1AEUUdio8zNWdkomKOmZIp1X3UX5Xqpc/rFO9Onxr8/u+StGZaglxJUu78Dj3UL1h/nnBr8fuX1H1cNknSlmWJ2rI0UX4BUnA2Q82ezaLwon6Ki3Vr+fh4Hf/NLcMhFS/vOX3ePyDt94XCAafTfJ2StGOrofmXT58PL2CqS3+Xok8YmjrKT4M/9lSB1i52aN0SzyTqEmU9p88HBkkvd/bXhfNSrjxX1leirFvte6X9PKHz7izXb/Qf3arvfW9c4O/nrZdPn3dKefMbatffT6ePm5ozxqX+H3neexuWuLRxqTs594d6+KV77pLUpNhP6b6Nqz33w2Ne29YdG2to3LhxKW7v2bOnevXqlbw8fvx4JSQkqE+fPpKkuXPn6qefftLgwYMlSfHx8Xr44Yc1bNgwRUZGaurUqYqKitLEiRP/cfte6QhJ0s6dOzVv3jwNGTLkP68rPTpCGYW3OkK3qvTqCGUU6dURyijSqyOUUXijI3SrstOVjlOTmTtCQ26fkOqk5tDQUIWGXrlY38KFC/X9999r6NChkqQPP/xQpmkmD43t3LlTb7zxhhYsWCBJiouLU40aNfTjjz/+4/a99qkaGRmpyMhIb20OAAD8S27Tex3Pv3d4rqVGjRoaO3aszpw5o+DgYK1evdpSXClatKhOnDih3377TcWLF9eXX36pcuXKXXe99i4vAACADCFfvnzq27evOnTooKSkJLVu3VqRkZHq2rWrevfurXLlymnYsGHq06ePTNNUnjx59Pbb17/An9eGxtISQ2P2xdAYQ2N2xtCYfXl7aKz79ie8tq2PKn3mtW2lxt57FgAAsDV7lxcAAEAK/OgqAACADVARAgAAFt48a8zX7JMpAADA31ARAgAAFu5Uf4o6c6IiBAAAbIuKEAAAsHBx1hgAAEDmR0UIAABYcNYYAACADdARAgAAtsXQGAAAsOAnNgAAAGyAihAAALDggooAAAA2QEUIAABYMEcIAADABqgIAQAACy6oCAAAYANUhAAAgAVzhAAAAGyAihAAALDgOkIAAAA2QEUIAABYMEcIAADABqgIAQAACypCAAAANkBHCAAA2BZDYwAAwIKhMQAAABvIkBWhe7O4fR2CDyX6OgCfcsjp6xDgUxnykJVmksx4X4fgM3+67Zu7L1ARAgAAsAF7f70CAAAp8BMbAAAANkBFCAAAWDBHCAAAwAaoCAEAAAsqQgAAADZARQgAAFhQEQIAALABKkIAAMCCihAAAIANUBECAAAWJhUhAACAzI+OEAAAsC2GxgAAgAU/ugoAAGADVIQAAIAFp88DAADYABUhAABgwenzAAAANkBFCAAAWDBHCAAAwAaoCAEAAAvmCAEAANgAFSEAAGDBHCEAAAAboCIEAAAsTNPXEXgPFSEAAGBbVIQAAIAFvz4PAABgA3SEAACAbTE0BgAALLigIgAAgA1QEbpJpim9MsxQyeJSp7Y2Or9Q9s5d8uT/8jCpZHGpc1tfR+N95J858/8mytD7k/yUmCSVLG7qzRddypbV2mbWAoc+X+hQlkCpWFFTr/ZxKUeodC5Wemu0n/b+Yig4i9SysVvtHnL7JpF/KWqznyZ+EqSkREPFi7v0Uv94Zf1b/vMXBGjhokAFBZkqUsStvs/FKzTUc9/CxQFavjxACYlSqZJuvfhCvAIDvZ9HWuOCikjVr4ekzn0dWrPePjvIX+ycu+TJv1NfafV6X0fiG+SfOfM/c1Z67R0/jRrs1NIZThUqYGrMROvHwtYfDE2Z5dCk95yaN9mpWtXcenOknyRpxId+CgmWFn3q1MyPnNq4xdD6TRnnGHH2rKHhI7JoyBuX9Nn0iypQwK0Jk4Isbbb/4KfPZwdq1HtxmjwpTtXucWrkqCySpG++8deChQEaNTJO06bEKSFBmve/TNALshk6Qjfh80WGHm5qqmEd+1VD7Jy7JM1aJLVuKjWq4+tIfIP8M2f+Ud8Zuqu0qaKFPMuPNHdrxVqH5WJ6P+8zVK2yqYhwz3L9WqbWRxlKSvLc16yBW35+UkCAVLuaqTXrM87Hynff+6l0KbcKFfIk3KJ5ktZ+GWDJf/9+hypXdik8zHNj7VpObYryV1KStGqNvx5tk6TQUMnhkPr1TVDDBkm+SCXNmab3/nzNa3vs2rVrNWPGDB0+fNhy+5w5c7wVwn82sI+pZg1ugVfNB+ycuyS91kdq1sDXUfgO+WfO/E+cMhQRduV9nS9MunDR0MW4K23K3Wlq6w+Gjp3wLC/+wqGkJENnY6XIO00tW+NQklOKi5PWfGMo5oyXk/gPTp1yKDz8ylBeWJipixcNxV2Vf5kybm3/wU8nTngqXV+sDFBSkqHYWENHjjr051lD/V8KVqcuIZo6LVDZstn3OJlReaUjNHLkSH322Wc6dOiQHnvsMS1evDj5vtmzZ3sjBADA37hNKbXr5jmu+mSoHGmqW0eX+rzmr7ZP+8lwSDlCTQX4S/2edUmSHunir+cG+qn63ab8M9DMU/c1+ixX518+0qUnOyRq4OvBerpbiAyHFBpqyt/flNNp6Pttfnrj9UuaOD5OsbGGPpkclPpKMxjTNLz252te2WXXr1+vhQsXyt/fX+3bt1fnzp0VGBioxo0by7wV6mIAYEP5w03t2nPlU/9UjBSa3VRI8JU2F+Oku8ubeqipU5J0Mlr6cIpDOUKlE6ek57t5Jk5L0qTPHCpSMOMc0/OFu7Vnz5WPwZhoQ9mzmwq+Kv+4OKl8eaeaNvEMeUVHG5oyNUihoVLePG7VrulMnlzdsEGSpk3PHB0hO/FKRcg0TRmGp9d32223acKECRo6dKi2bNmSfDsAwLuqVzG182dDvx/1LM9b4lDde60dmVMxUuc+/rpw0bM86TOHGtdzyzCkuUsc+nCK52Pk9BlpwXKHmtyfcTpCVe526ec9fjp61PM5tGRpgO6t4bS0iYkx1KdviC5ezn/GzEDVr5skw5Duq+3UV+v9lZDgmeuyYaO/SpdyeTuNdGGnipBXOkIPPPCA2rdvr507d0qSSpQooffff199+vRJMWcIAOAdeXJJQ15yqd8gf7Xo4K8Dvxl6obtLu/caavOUp1JSrIj0VDu3Hn/WXw+291dSkqHnn/XMq+nyuFsnow21etJfXZ73V49OLt1VOuN0hHLlMjWgf7xefyNY7Z8M0W8H/dTj2Xjt3efQU11DJElFiphq91iiuvUI0RMdsiopSXq2W4IkqWWLJN1dyaWu3ULUvmNWXbpkqGuXBF+mhH/BML00NhUVFaXw8HDdfvvtybcdP35cU6ZM0auvvnpT63KeuCOtw0MG4eBER9hYkum8fqNM6k93vK9D8KmIgse8ur2yi9/w2rZ2t/DetlLjtWlt1atXT3Fb/vz5b7oTBAAAkFYy0Px+AADgDXY6j4lxBgAAYFtUhAAAgMWtcDaXt1ARAgAAtkVHCAAA2BZDYwAAwIKhMQAAABugIgQAACxsdPY8FSEAAGBfVIQAAIAFc4QAAABsgIoQAACwstEkISpCAADAtqgIAQAAC+YIAQAA2AAVIQAAYGEyRwgAACDzoyIEAAAsmCMEAABgA1SEAACAFRUhAACAzI+OEAAAsC2GxgAAgAWnzwMAANgAFSEAAGBFRQgAACDzoyIEAAAsuKAiAACADVARAgAAVswRAgAAyPyoCAEAAAvmCAEAANgAFSEAAGDFHCEAAIDML0NWhBz03wDYkJ9h32Nfkp1KFLcE5ggBAADcUpYuXaomTZqoYcOGmjlzZor7f/vtN7Vv317NmzfXU089pXPnzl13nXSEAACAlenFvxt08uRJjR49WrNmzdKiRYs0Z84c/fLLL1dCNk09++yz6tq1q5YsWaIyZcpo4sSJ111vhhwaAwAAmUNsbKxiY2NT3B4aGqrQ0NDk5U2bNqlatWrKmTOnJKlRo0ZauXKlevbsKUnavXu3QkJCVLt2bUlSt27dUl3v39ERAgAAPjNt2jSNGzcuxe09e/ZUr169kpdPnTqlsLCw5OXw8HDt3Lkzefnw4cPKmzevXnnlFe3Zs0fFixfXa6+9dt3t0xECAABWXpyb3rFjR7Vq1SrF7VdXgyTJ7XbLMK5M4jZN07LsdDq1detWffbZZypXrpzGjBmj4cOHa/jw4f+4fTpCAADAZ/4+BHYtERER+v7775OXo6OjFR4enrwcFhamokWLqly5cpKkZs2aqXfv3tddL5OlAQCAlWl47+8G1ahRQ1FRUTpz5owuXbqk1atXJ88HkqSKFSvqzJkz2rt3ryRp3bp1Klu27HXXS0UIAADc8vLly6e+ffuqQ4cOSkpKUuvWrRUZGamuXbuqd+/eKleunD788EMNHDhQly5dUkREhEaMGHHd9RqmaWa4q1S5T5T0dQgA4HVuuX0dgs8cd130dQg+Vbjgca9ur+iU63cg0srvnV/02rZSw9AYAACwLYbGAACAVYYbK/r3qAgBAADboiIEAACsbuJsroyOihAAALAtKkIAAMDCYI4QAABA5kdFCAAAWFERAgAAyPyoCAEAACvOGgMAAMj86AgBAADbYmgMAABYMVkaAAAg86MiBAAArKgIAQAAZH5UhAAAgBUVIQAAgMyPihAAALDigooAAACZHxUhAABgYTBHCAAAIPOjIgQAAKyoCAEAAGR+VIRukmlKLw+TShaXOrf1dTTeZefcJfIn/8yZ//ooacxEhxKTPLkNecmtbFmtbWbONzRroaGgIKl4EVMD+5rKGSqdjZWGjDK09xdDwVmkVo1NPf5wxiolbN7sr8mfBCkpUSpe3K1+/S8p69/yX7ggQIsXBSooSCpSxK1ez11SaKjnvsWLA/TF8kAlJkolSrrU74V4BQZ6Pw/8e1SEbsKvh6ROfaXV630diffZOXeJ/Mk/c+Z/5qw0cLhDY4a4tfwztwoVMDVqgvW06S3bpcmfG5o8yq0Fk92qXU16Y6Tno+OdcYZCgqUl09yaNd6tDVsMfb3JB4n8S2fPGho5IosGvXFJn06/qPwF3PpkUhZLmx9/8NOc2UF69704TZh0UVXvcWr0qGBJ0oZv/LV4YaBGjLyoT6ZcVEKCofn/oxeU0dARugmzFkmtm0qN6vg6Eu+zc+4S+ZN/5sx/03eG7iotFS3kWW7bwtTytYbMq4o6P+83VK2yqYhwz/L9tU19vUlKTPLc92BDU35+UmCAVLu6qdXrM871Z7Z976eSpVwqVMgtSXqweaK+/DLAkv/+/X6qVNmpsDDPjTVrJWlzlL+SkqQ1awLUuk2iQkMlh0Pq0zdeDRok+SKVNGeY3vvztesOjU2ZMkXjxo2Ty+VSwYIFVbJkSZUqVUqlSpVSyZIlVahQoRva0KFDhxQcHKx8+fJp3rx52rdvnypVqqQmTZr85yS85bU+nn+//d6nYfiEnXOXyJ/8Pf9mtvyPn5Iiwq98EuULky5cNHQxTsnDY5FlTH0236FjJ0wViJAWfmEoKcnQuVjPfUtXG6pYzlRiorRmvSF/fymjzLQ9dcqh8KvyDwszFXfRUFyckofHypRxaeHCQJ08YShfhKlVKwOUlGQoNtbQ0aMOnT1raMBLITp92lC5ci51fTreR9ng37puR2jChAkaMWKEIiMjdeTIEe3fv1/79u3TN998owMHDkiSSpQooc8///ya6/j00081Y8YMud1uVatWTcePH1eDBg00f/58HTx4UD169Ei7jAAAN8R0S6nVbxxXjRVULi91f9JU74EOORyeeUA5Qk0F+Ev9u5saOd5Q6y4O5c0t1bjb1A8/ZZyKkHmN/trV+ZeLdKlDhwQNej1EDofUqHGisoe65e8vuZzStm3+GjwkToGB0ojhwZo6OUjdeyZ4J4H0ZKMrS1+3I5QtWzbVqVNH/v7+Cg8PV+XKlS33Hz16NLlDdC3z58/XihUrFBMTo2bNmmnz5s0KCgpSmzZt1Lp1azpCAOAD+fNJO/cY+quCcypGCs1uKiT4SpuLcdLd5U093NTT5mS0NHaKoRyhnorS891M5Qz13DdxhqEihTJGNUiSwsNN7dlz5QM/JtpQ9uymgq/KPy5OiizvVOMmScltPp0apNBQU3nymKpZMym5elS/QZI+mx4kKRN0hGzkunOEnn76ac2bN++a9xcqVEh169b9x3W43W4FBgaqYMGC6ty5s4KCgpLvc7lcNxEuACCt1KhiaufP0u9HPctzlhiqd6+1I3MqRurUx6ELFz3LE2YYalLflGFIcxcbGjfF05GIOSPNX26oaf2M0xGqfLdTe/b46ehRz0fh0qWBqlHDOsfndIxD/fpm1cXL+c+cGaR6dZ0yDKlW7SStXx+ghARPdenbjf4qVYrPtIzmuhWh4cOHKykpSRs2bFCtWrVUpkwZlSpVSsFXd5mvo2HDhnriiSc0ffp09erVS5K0d+9eDRw4UI0bN/730QMA/rU8uaS3BrjV53WHnElS4YLS26+49dNe6fV3HVow2a1iRaSn2pl6rJtDblOqVM7Uq308nZ2uT5gaMNShFk96Jlj37GyqXBkfJ3UTcuUy1b9/vAa/ESynU8pfwK2XBlzSvn0OjRoZrAmTLqpwEbfaPpagXj2yyu2W7irnUq/ennlAzVsk6fx5Q892yyq3SypRwq1uz17ycVZpJOP0Z/8zwzSvNUrqcfjwYe3bty/5b+/evTp27JgKFSqkVatW3fCGvvvuO1WpUiV5+bffftORI0d033333XTQ7hMlb/oxAJDRueX2dQg+c9x10dch+FThgse9ur3iY0Z5bVu/9Xnea9tKzXUrQkWKFFGRIkXUoEGD5Nvi4uK0f//+m9rQ1Z0gSSpevLiKFy9+U+sAAABeYKOK0L+6jlBISIgqVKiQxqEAAAB4Fz+xAQAALG6FCx16C1eWBgAAtkVFCAAAWFERAgAAyPyoCAEAACsqQgAAAJkfFSEAAGDBWWMAAAA2QEUIAABYmYavI/AaKkIAAMC2qAgBAAAr5ggBAABkfnSEAACAbTE0BgAALDh9HgAAwAaoCAEAACsqQgAAAJkfFSEAAGDBHCEAAAAboCIEAACsqAgBAABkflSEAACAFRUhAACAzI+KEAAAsOCsMQAAABugIwQAAGyLjhAAALAt5ggBAAAr5ggBAABkfnSEAACAbTE0BgAALDh9HgAAwAYyZEVoc4LT1yH4zAlnDl+H4FNZHQm+DsGnsjvifR0CfMhl2ve7666E0r4Owae6e3uDVIQAAAAyvwxZEQIAAOmIihAAAEDmR0UIAABYcNYYAACADVARAgAAVlSEAAAAMj8qQgAAwII5QgAAADZARQgAAFhREQIAAMj8qAgBAAArKkIAAACZHx0hAABgWwyNAQAAC06fBwAAsAEqQgAAwIqKEAAAQOZHRQgAAFhREQIAAMj8qAgBAAALzhoDAACwASpCAADAiooQAABA5kdFCAAAWDBHCAAAwAaoCAEAACsqQgAAAJkfFSEAAGBFRQgAACDzoyMEAABsi6ExAABgYfg6AC+iIgQAAGyLihAAALCy0WRpOkKX7dhi6H9T/ORMkgoVM9X5eZeCs1rbrF3k0JdLHAoIlAoUMfVET5eyhUqJCdKMcX46uNeQKal4aVPte7oUGOSTVP6VvVtdWvVpopxJUkQxhx7uE6gsIdbi6O5NTq39LEmGQwrOZuih5wKVJ79DcedNLRqXqOO/uRWYRarcwF81mgf4KJP/bvcWU0unuuVMkgoUkx7r61BwVutzsX6xWxuWmAoIkvIVNtSmp6Gs2TNuMdnu+7+d89+5RZo/1XE5d+nJvu4UuX+52NC6JYYCA6X8RUy162EqW+iV+8+ckt7u49Cg8W5lz+Hd+P+rg9/F69vpsXI5TeUtGqD7e+dUUIh1sOSXqEvaPOu8DIeUJZtD9XvmVM78no/PCY+fULa8V9pXbpVNpeuEeDUH/DcMjUmKPStNHumnHq87NWyKU2H5Tc2bbH1q9vxoaMVch/q/49Tgj52KrOrWtDF+kqSlsxxyu6TBE5wa8rFTSQnS8tkZ56m9cM7U/0Yn6PFXg9RvUrByRxhaOTXJ0iYpwdScdxP1+MAg9R4XrDL3+Gnpx4mSpGUTExUULPX9OIueHZVF+753ac8Wly9S+c/OnzU1c5RbnV9zaOBkP+XJb2jpVOtXo/07TK2dZ6rHcIde+shPd1aRZr/v9lHE/53d938753/+rDT1PYe6v+bW0MluhUWYmj/F2qHf+6O0cq6hfsPdGjTerXJVpBnvX8lv0xpDI15w6OzpjPdFIO6cS2s+OKumL+dWx/H5lCPCX99Oi7W0cSaYWjXqrJq9nFuPvx+uYlWzaP2kc5KkP486lSW7ocffD0/+yyydIMP03p+vZYx3azrbvc1QsVKmIgp6lus1c2vzOofMq16gQwcM3VnRVO4wz3Lle039uMWQM0kqVc7Ug+1ccjgkh59U5A5TMSczzkHhwHaXCpV0KG9Bz+5Qram/fvzKKfOqJ8B9+XM+4eLlfy9J/gGeHI/94lbFev5y+BnyDzBUuoqffvrW6dUc0sre7aaKlJTCC3pyq9nU0PfrTMtzceSAqVIVDOUK87QpX9PQT1skZ9It8I7+F+y+/9s5/93bDd1WSsp3Ofc6zUxtWWdYcv/9gKEyV+VeqaapHVskZ5J09rT0Q5ShPm9nzC8Ch39IUL4SAcpVwFPdiWwcon3rL/3t2GdKppQQ58kx6ZIpv7+OfXsTZTgMzRsQo896ndKW2efldmXM44Cd+aQjNHz4cF9s9prORBvKHXZl580VJl2KMxQfd6XN7aVN7fnRUMxJz/KG1Q45kwxdiJXuuttURCHP7TEnpTULHKpSO+McGM5Fm8pxVWk3NK+hhDhPZ+cvQcGGWvYM1Ph+8Xr7iUvavCxJD3T2DH8VLuXQD+uccjlNJVwy9dO3Lp0/kzEPBmejldzBkaScYVJ8nCz7wm2lDR3YYerMSU+OW1abciVJF2P/vraMwe77v53zPxMt5c77z7kXK21q74+GTl/O/dtVRnLuOfNIPV53J+ef0ZyPcSlbXr/k5Wx5/ZQYZyrx0pXnJDDYoXrdc2jeizH65MkT2rH8omp29IwLmi5TRcoHqeUbudVmWF79vj1eO5Zd9Hoe6cL04p+PpfscoZdffjnFbevWrdO5c57S4rBhw9I7hOsyTclI5Quc46puYslyplo84dLYN/3lMEzVamQqa3ZT/ldNhTm0Xxr7pr/qt3CrQrVb4NW9QTeS/4mDbn05K0l9J2RRnvwOfbs4STOHJqj3uCxq0iVQKz5J1Nhe8cqWy1CJin76fU/GHBozTaV63qjjyrFSt99l6IHHDX0y2C3DIVVraCgkuyz7QkbC/m/f/E23rru/lywnPfiEqQ8HO2QYUs1Ucs+oTHfqp4lf/drHHErSltnn9cSH4cqZ318/Lr2g5cPPqN37YbqrkXUyVcWW2bRj6UVVbJEtfQNHmkr3jlDOnDm1aNEidevWTaGhnl705s2bVbVq1fTe9A3LHWbq171X9vw/Y6Ss2U0FBV9pcylOKhVpqnZjZ3KbBdMcyprdc/+WrwzNGOenx3u4VL1exjgI/iVnmKEj+658g42NMRWcTQrMcuUQsX+7S0XvdChPfs/zVL2Zv5ZPSlJcrGf+UOOnAhVyebLwV3OSlKdAxhx1zRUmHdp75fU7FyOFZJOCrnou4uNM3RFpqPoDnhzPxphaPt1USHavh5sm7L7/2zn/3OHSwb2G/vpafjZGCslmKijLlTbxcZ6OYK0HPG3+jJEWTTOSc8/IQsP8dHL/lfmQF067FJTNUECWK/vD7z8kqECZwOTJ0ZFNsuqbybGKP+/WoW0JyntbgMKKXe4VmpIjs5yClHF24/8s3T+tXnrpJY0aNUorVqxQgQIF1KpVK+XIkUOtWrVSq1at0nvzN+SuyqZ+22PoxB+e5a+WOVSxunUvOHtaeqe/vy5drnouneXQPXXdMgzpxyhDMz/yU79hGesg+JcSlfx0ZK9LMX94OkNbVjh1ZzU/S5uCtzt0cJdb5//05PdzlEu58hnKmsPQlhVOrZnhOZic/9PUd6ucKl/H+viMonRlQ7/vlU794clz43JT5apbvzOeOy198KJbly562qyebapyHUNGamWFDMDu+7+d8y9b2dSve6WTl3P/ermhCqnkPvJFR3Luyz83VLWOmWoVLaMpUjFIx/cl6s9jng7uri/iVPyeLJY24cUDdHR3oi7+6aly/7olXqHhfgoO9dPp353aPMszL8iZYGrH8osqWTM4xXZwazPMq2eFpaOzZ89q0KBBKlCggDZu3KilS5f+63Vt+r14GkbmsWOrofmXT58NL2CqS3+Xok8YmjrKT4M/9rxJ1i52aN0SzyTKEmU9p88GBkkvd/bXhfNSrjxX1leirFvte6X9PIETzvQ5N3Xvd57T511OKXeEoUdeCNKZ424t+CBRvcd53thRS5MUtcwpP38pJLuh5s8GKl9RhxLiTM0dmajTx90yTanOIwGqWC99vhZldSSky3qvtnur5/R5l1PKm196or9Dp49Ln49x66WPPB28b5a4tWGpKdMtFS9rqHUPQ4FB6f/JkN0Rny7rzSj7f3rJKPm7zLT/7rpzq7RgikNOpxSeX+rc362YE9K00Z7T4SVp3WJD65Yaybm362GmuDxAl0Z+Gj3XlW6nz+9KKJwu6z34fbw2TY+VyynliPBTo765dO6EU2vHndXj74dLknYsv6gdyy/Kz1/Kkt2hOs/kUJ4iAUpKcOvrj8/pxP4kuZymStwbrBrts6fLl6Lupb5K83X+kwq9RnttWz+O7eu1baXGax2hv8ybN09ffPGFpkyZ8q/XkR4doYwivTpCGYU3OkK3svTqCCFjSI+OUEaRXh2hjIKOkMfSpUs1fvx4OZ1OdezYUY8//niq7b7++msNHjxY69atu+46vT6a2aZNG7Vp08bbmwUAADfqFhzlPXnypEaPHq0FCxYoMDBQbdu21T333KM77rjD0i4mJkbvvPPODa/Xvl8vAACAz8XGxuro0aMp/mJjrdck2bRpk6pVq6acOXMqJCREjRo10sqVK1Osb+DAgerZs+cNbz+zzG8HAABpxJtXfJ42bZrGjRuX4vaePXuqV69eycunTp1SWFhY8nJ4eLh27txpecz06dN15513qnz58je8fTpCAADAZzp27JjqWeR/XXLnL2632zIR3TRNy/L+/fu1evVqffrppzpx4sQNb5+OEAAA8JnQ0NAUnZ7URERE6Pvvv09ejo6OVnh4ePLyypUrFR0drYcfflhJSUk6deqU2rVrp1mzZv3jepkjBAAArG7Bn9ioUaOGoqKidObMGV26dEmrV69W7dq1k+/v3bu3Vq1apcWLF2vixIkKDw+/bidIoiMEAAAygHz58qlv377q0KGDWrZsqWbNmikyMlJdu3bVrl27/vV6vX4dobTAdYTsi+sIcR0hO+M6Qvbl7esIVXrWe9cR2j7etxdUtO+7CgAA2B6TpQEAgFWGGyv696gIAQAA26IiBAAArKgIAQAAZH5UhAAAgIU3f2LD16gIAQAA26IiBAAArKgIAQAAZH5UhAAAgIWR8X504l+jIgQAAGyLihAAALCyT0GIihAAALAvOkIAAMC2GBoDAAAWXFARAADABqgIAQAAKypCAAAAmR8VIQAAYMEcIQAAABugIgQAAKyoCAEAAGR+VIQAAIAFc4QAAABsgIoQAACwoiIEAACQ+WXIitCbpar7OgTAJxz58/k6BJ9yHz/p6xB8y7Dvd1cjIEN+XKWZ7rHe3R5zhAAAAGzA3l1sAACQkmmfkhAVIQAAYFt0hAAAgG0xNAYAACyYLA0AAGADVIQAAIAVFSEAAIDMj4oQAACwMNy+jsB7qAgBAADboiIEAACsmCMEAACQ+VERAgAAFlxHCAAAwAaoCAEAACt+dBUAACDzoyIEAAAsmCMEAABgA1SEAACAFRUhAACAzI+OEAAAsC2GxgAAgAWTpQEAAGyAihAAALDigooAAACZHxUhAABgwRwhAAAAG6AiBAAArKgIAQAAZH5UhAAAgAVzhAAAAGyAihAAALBy26ckREUIAADYFhWha6j6QAV1GvKoAoL8dXDXEY3uNklx5y+l2vaFT57RoZ+O6H9jVng5yvRj5/ztmHuVumXU6cWmCgj018G9xzTmpTmKu5CQatt+Ix/ToX3HNX/S15KkVz/qqPxF8ybfH1Eot3Zt/VVvdp3ijdDTnB1f/6tVfaC8Og1+RAFBATr401/5x6fa9oVJT+vQ7qMZOv+qjSLVaVBrz+v901GN7jnlmvn2+7iLDu0+qvljV0qSArMEqMd77VWqcjEZhqG93/+mD/vNUGJ8kjdTSB/2KQhREUpNjrzZ1W/i0xrSdoy6RPbXiYOn1PmtR1O0K1yqgN5Z+YpqtarqgyjTj53zt2PuOXJn1fMj2uqtZz9V1/rDdeLwGXV6sVmKdoVvD9ewmc+qZuNIy+1Du09Tz6bvqWfT9/TBy3N14fwlffj6Am+Fn6bs+PpfLUfe7Oo34WkNeewDdSn/oif/IdfI/4uXM3z+OfJk1/MfPaUh7T9Ul8qv6PihaHV6s02KdoVL5tfwpS+qVou7Lbc/1v9B+fk79Gz11/Vs9dcUFBygR/s19Vb4SCN0hFJR6f5y2rftNx379aQkadmktarX9t4U7Zp3a6CVU7/WNwu2ejvEdGXn/O2Ye6VapbR/5xEdOxQjSVr22beq26JSinbNOtTUqjlbtGHFjlTX4x/gp34jH9PEwYsVc/xseoacbuz4+l8tRf4Tv1S9tjVStGve7X6t/DTj51+pflnt334wOd/lk9epXptqKdo9+HR9rZz+jTYs+s5y+65v9+nzd5fKNE253aZ+2XFY4YXzpnh8RmSY3vvzNa8Mje3cuVORkZ5vkVFRUVq/fr38/f3VoEEDlS9f3hsh3JSwQnkUc/RM8nL00TPKmiNEIdmDLSXyD/tOk+Q5eGQmds7fjrnnzZ9T0Vd1XGJOnFPW0GCFZAuyDI+NH+Sp8lSqVTLV9TR65B6dPhmrTat3pWu86cmOr//VwgrlVszR08nL0X/8lX8Wy3DRh32nS5Iq1c/Y+YcVzK3oq1/vP/5MNd+PXvhMklS5XlnL47ev2538//DCedSqewO9/9y0dI4aac0rFaFBgwZJkmbOnKm3335bERERyps3r15//XV99tln3gjhpjgchsxUfnnX5XL7IBrvs3P+dszd4TBS/aVpl+vmvqq1fKq2Ph+3Jq3C8gk7vv5XcxhGqj86frP7QkZhpNHrfUeFohq58mUtmfiltq5MvWKKW5dXh8bmzp2r6dOn68knn9STTz6pmTNn3pIdoVNHTitP/lzJy3kL5tb5MxeUEJf65NHMxs752zH3U8fOKne+HMnLeSNy6PzZOCVcSrzhddx+Z0H5+flp15Zf0yNEr7Hj6381T/45k5fzFsyVqfOPPnrG+noXyKXzf15QQtyN7/v3PVxVwxa/oClv/E9z3lueHmH6hml678/HvNIRcjqdcrvdypkzpwIDA5NvDwwMlMNx601T2rZ2l0pXvUMFbs8nSWratb6ilm3zcVTeY+f87Zj79g37VLpiURW4zTO3oUm7Gopa89NNraPcPbdrR9SB9AjPq+z4+l9t25c/WfPvUl9Ry7b7OKr0s+3Ln1S6SvEr+Xauq6jlP9zw4+95oLyeHfG4Xmn5nr6etzm9wkQ680ovJGfOnKpTp44OHjyoIUOGSPLMFWrbtq0eeOABb4RwU85Fx+q9pyfotc+f06QfR6hY2cKa+NJMlahUTB9tedvX4aU7O+dvx9zPnb6g0f1n69WPntSENS/ptlIRmjR0iUqUK6Rxy/vd0DoKFMurk1fNtcio7Pj6X+1cdKzee2aSXpvVW5N+GK5iZQtp4oBZnvw3v+Xr8NLcuZjzGtV9igZO766J3w3VbWULauKrc1Si4m36cOOb131816GPSoahPmM76cONb+rDjW+qx3tPeCHy9GenydKGmdoAaTr57bffFBsbqwoVKmjbtm06f/686tSpc9PraZTl8bQPDsgAHPnz+ToEn3IfP+nrEHzLuPUq6N5iBNj7sncrY6d6dXt1G73jtW19teolr20rNV7ds4oXL578/8qVK3tz0wAA4EbdApUab7Hv1wsAAGB79q41AgCAFIxb4Gwub6EiBAAAbIuKEAAAsLLHNUQlURECAAA2RkUIAABYMEcIAADABqgIAQAAK/sUhKgIAQAA+6IiBAAArJgjBAAAkPlREQIAABa3wq/CewsVIQAAYFt0hAAAgG0xNAYAAKyYLA0AAJD5URECAAAWBj+6CgAAkPlREQIAAFbMEQIAAMj8qAgBAAAr+xSEqAgBAAD7oiIEAAAsDOYIAQAAZH5UhAAAgBUVIQAAgMyPihAAALDiytIAAACZHxUhAABgwVljAAAANkBHCAAA2BZDYwAAwIqhMQAAgMyPihAAALCyUUUoQ3aEHMWK+DoEn3H9ctDXIfiU4efn6xB8y+b5O3KE+joEn3Kfi/V1CD5jJjl9HQIyqQzZEQIAAOmICyoCAABkflSEAACABRdUBAAAsAE6QgAAwMo0vfd3E5YuXaomTZqoYcOGmjlzZor7165dqxYtWqh58+bq3r27zp07d9110hECAAC3vJMnT2r06NGaNWuWFi1apDlz5uiXX35Jvv/ChQt64403NHHiRC1ZskSlSpXS2LFjr7teOkIAAMDqFqwIbdq0SdWqVVPOnDkVEhKiRo0aaeXKlcn3JyUladCgQcqXL58kqVSpUjp+/Ph118tkaQAA4DOxsbGKjU15jazQ0FCFhl65dtipU6cUFhaWvBweHq6dO3cmL+fKlUsNGjSQJMXHx2vixIlq3779dbdPRwgAAFh58ayxadOmady4cSlu79mzp3r16pW87Ha7ZRhG8rJpmpblv5w/f149evRQ6dKl1apVq+tun44QAADwmY4dO6baYbm6GiRJERER+v7775OXo6OjFR4ebmlz6tQpPfXUU6pWrZpeeeWVG9o+HSEAAGDlxStL/30I7Fpq1KihsWPH6syZMwoODtbq1as1ZMiQ5PtdLpe6deumxo0bq3v37je8fTpCAADglpcvXz717dtXHTp0UFJSklq3bq3IyEh17dpVvXv31okTJ/Tzzz/L5XJp1apVkqS77rpLQ4cO/cf10hECAAAZwoMPPqgHH3zQctukSZMkSeXKldPevXtvep10hAAAgAU/sQEAAGADVIQAAIAVFSEAAIDMj4oQAACwclMRAgAAyPSoCAEAACvmCAEAAGR+VIQAAIAVFSEAAIDMj4oQAACwoiIEAACQ+VERAgAAVlxHCAAAIPOjIgQAAKxMt68j8BoqQgAAwLboCAEAANtiaAwAAFhx+jwAAEDmR0UIAABY2ej0eTpCl1W5r5Q69W2kgEB/Hdx3QmMGzlfcxYRU2/Yb1kaH9p/Q/KkbJEnZcgSr56CWur10fsVfStSaBdu0ZGaUN8P/V6o2rqjOQ9sqIDBAB3cd1qinJyju/KUbapM9V1b1GtdFt5cvqvi4BK2e9rUWf7jK8tiI28I0bsswvdzkbR3Y9ps3U/tPqj5QQZ2GPKqAIH8d3HVEo7tNSvG8/OWFT57RoZ+O6H9jVng5yrRVpU5pdXqhiQIC/XRw33GNeXme4i5cY/8f8agO7Tuh+ZPXS5JeHdde+YvkTb4/onAu7dr6m9585lNvhJ4mqtx/lzq92sKzn/98VGP6fqa4C/Gptu33QUcd2vOH5o9fm+K+gVOe1ukT5zT+lTnpHXK6seP+/5eqD5RXp8GPKCAoQAd/+iv31PeDFyY9rUO7j2aa3O2MoTFJOXJl1fNDW+ut52aqa5NROnH0jDr1eyBFu8LFwzRsahfVbHiX5fZnBjRTfFyCnmk2Wn3bjtfdtUupap3S3gr/X8mRN7te+KSbBj8yWk/d9byOHzylp95+7IbbdHuvg+IvxqtrZD89d+9AVWlUQfc0qZT82ICgAL00racCAjNWXztH3uzqN/FpDWk7Rl0i++vEwVPq/NajKdoVLlVA76x8RbVaVfVBlGkrR+6sev6dR/VWj+nq2vBdnTh8Rp36N0nRrvDt4Ro24xnVfCDScvvQnjPUs/lo9Ww+Wh+8Ok8XYuP14RsLvRX+f5YjTzY9/34HvdV5orre+4ZO/B6jTgNbpmhXuESEhs3vo5oPVkx1Pa17NNBd99yRztGmLzvu/3/JkTe7+k14WkMe+0Bdyr/oyX3INXL/4uVMlXuqTNN7fz5GR0hSpXtLaP9PR3Xs99OSpGWfb1bdZhVStGvWrrpW/e87bVi1y3L7HWUL6MvFP8jtNuVMcmnr+r0pOku3msoNIrXv+1917JcTkqRlE9ao3mM1b7hNiYrFtfazDck5b/niB9V6+J7kx/Ya21mrp6/XuZjzXsoobVS6v5z2bftNx349KUlaNmmt6rW9N0W75t0aaOXUr/XNgq3eDjHNVapZUvt3HtGx32MkSctmRalu85Qf9s2eqKFVc7dowxc7U12Pf4Cf+r3bVhPfWqKY4+fSNea0VKlOGe3/4ZCOHYyWJC2b9o3qPpzyQ65Zp/u0aua32rBke4r7ytUoocr1ymr59A3pHm96suP+/5cUuU/8UvXa1kjRrnm3+7Xy08yVu915rSO0YcMGxcbGSpIWLVqkwYMHa/78+d7a/D/KG5FD0VcduGNOxipr9iwKyRpkaTf+rSX6evmOFI/ft/OI6reoKD9/h7KEBOreBncpd1j2dI/7vwgrlEfRR08nL0cfPa2sOUIUkj34htrs/e4X3f9ELfn5+ylL1iDValVVuSNySpIe6FxXfgF++mLyOq/lk1bCCuVRzNEzycvRR8+keF4k6cO+0/TVnE3eDi9d5M2fU9HHzyYvx5w4p6zZgxWS7W/7/5uL9PXSH6+5nkZtqur0yVhtWvNTOkWaPvIWyKXoY38mL8ccO6usocEKyZbF0m78K3P09YLvUjw+d74c6vbWIxrx7BS5XRn7InR23P//ElYot2KuPt798Vfu1v3gw77T9dWcW3/qw39GRShtDR06VBMmTFBCQoLGjBmjJUuW6I477tCaNWv01ltveSOEf+RwGJJSvhgu940d1Ca9s0KmKY1b0Euvj2uvHzYdkDPJlcZRpi3D4Uh1/7v6QP5PbSb0nyHTNDX+u+F6Y/4L2r52l5yJTt1R8TY1e/p+fdD9k3SMPv04HIbMVJJ2ZfAPuH/icBip7f43nXPLTrX0+Ucp583c6hwOR+r538D738/foQEfd9bE1/+nP0/FpkN03mXH/f8vDsNI9Xjncvn+gxrpyysTODZt2qQlS5bIz89P69ev15w5cxQYGKhHH31UzZo180YI/+jU8bMqFVk4eTlvvlCdPxunhEtJN/T4kGxBmjzyC10455lQ+OjTdXTs8OnrPMq3oo/EqHTVK/MZ8hbMrdgzFxQfl3BDbcIK59EnA2bq/J8XJUltX2qpY7+e1P1P1FZI9hCN2TBYkpSnQC4NmNZTkwbM1OZl27yU3b936shpla5izfn8mQtKiEt94nBmcOrYWZUqXyR5+Wb3f0m6/c4C8vNzaNeWjDMp/i+njp5RqUq3JS/nzZ9T5/+8qIS4xOs+tkSFoooomldd33xYkpQrPFR+DocCswTo/ec/S6+Q040d9/+/eHK/PXk5b8Fctsk9VbdApcZbvFIRypIli06f9nQMIiIiFBcXJ0m6dOmS/P19P5l2+7cHVLp8YRUomkeS1OTRexS17ucbfnyTR+9R+14NJEk582RTo9ZV9PWylENot5Jta3aqzD13qMAdEZKkZk/fr6il399wm2ZPN1CHNx6RJOUMz6HGnetq3eyN+rjfdHUu21fP3j1Az949QKeP/anhHcdliE6QJG1bu0ulq96hArfnkyQ17VpfURkk9n9r+4Z9Kl2hiAoU9Zz51aRddUWt3X1T6yhXtbh2bP4lPcJLd9vX71HpysVUoFiYJKlJx1qKWnlj79+93x9Uh0qvqmf9t9Wz/ttaMW2D1i/eliE7QZI99/+/bPvyJ2vuXeoralnK+WDIfLzSC+nRo4dat26tpk2bqlChQmrfvr2qV6+ujRs3qkuXLt4I4R+dO3NRo1+dr1fHPC7/AD8dP3JGIwfMVYmyBfXckIfU86Gx//j4uRO/1gvvPKLxS56TYRiaMXaN9v901EvR/ztno2M1ssvHem1OXwUE+OvYbyf1bqcPVaJycT0/4Wk9e/eAa7aRpNnvLNJLn/bQxB/elQxp+pvztP/7jFcN+Ltz0bF67+kJeu3z5+Qf6K/jv53Su0+NV4lKxdR3fFd1v+cVX4eY5s6duajRL83Vq+Pae/b/w6c1sv9slbirkJ57u416Nh993XUUuC1MJ4/+ed12t6JzMec1+rnpenXy0578f4/RyJ6fqkT5Inpu1BPqWf9tX4foNXbc//9yLjpW7z0zSa/N6i3/QD9P7l0meHL/6Cl1rzbQ1yF61w1ODckMDDO1AeF0cOTIEa1du1a///67XC6X8ubNq7p16yoyMvL6D/6bxmVeTocIMwbXLwd9HYJPGX5+vg7BpxyFCvg6BN86f8HXEfiU+1zGn4f0rxn2Psl51aUZXt1e4/w9vLatL45/6LVtpcZr41KFCxdWp06dvLU5AADwbzFHCAAAIPPz/UxlAABwa6EiBAAAkPnREQIAALbF0BgAALByMzQGAACQ6VERAgAAFqZpnwsqUhECAAC2RUUIAABYMUcIAAAg86MiBAAArLigIgAAQOZHRQgAAFi5OWsMAAAg06MiBAAArJgjBAAAkPlREQIAABYmc4QAAAAyPypCAADAijlCAAAAmR8dIQAAYFsMjQEAACt+dBUAACDzoyIEAACsTE6fBwAAyPSoCAEAAAuTOUIAAACZHxUhAABgxRwhAACAzI+KEAAAsGCOEAAAgA1QEQIAAFbMEQIAAMj8DNM07TMQCAAAcBUqQgAAwLboCAEAANuiIwQAAGyLjhAAALAtOkIAAMC26AgBAADboiMEAABsi44QAACwLTpCAADAtugI3YSlS5eqSZMmatiwoWbOnOnrcLzuwoULatasmY4ePerrULxu3Lhxatq0qZo2baoRI0b4Ohyve//999WkSRM1bdpUU6dO9XU4PvPOO+9owIABvg7D69q3b6+mTZuqRYsWatGihXbs2OHrkLxq3bp1euihh9S4cWO99dZbvg4HaYwfXb1BJ0+e1OjRo7VgwQIFBgaqbdu2uueee3THHXf4OjSv2LFjhwYOHKhDhw75OhSv27RpkzZu3KiFCxfKMAx16dJFa9asUYMGDXwdmlds3bpVmzdv1pIlS+R0OtWkSRPdd999Kl68uK9D86qoqCgtXLhQderU8XUoXmWapg4dOqSvvvpK/v72+8g4cuSIBg0apHnz5ilPnjzq2LGj1q9fr/vuu8/XoSGNUBG6QZs2bVK1atWUM2dOhYSEqFGjRlq5cqWvw/KauXPnatCgQQoPD/d1KF4XFhamAQMGKDAwUAEBAbr99tt17NgxX4flNVWrVtX06dPl7++v06dPy+VyKSQkxNdhedXZs2c1evRodevWzdeheN1vv/0mSercubOaN2+uzz77zMcRedeaNWvUpEkTRUREKCAgQKNHj1b58uV9HRbSkP269//SqVOnFBYWlrwcHh6unTt3+jAi7xo6dKivQ/CZEiVKJP//0KFD+uKLL/T555/7MCLvCwgI0AcffKApU6bogQceUL58+Xwdkle9/vrr6tu3r44fP+7rULwuNjZW1atX12uvvaakpCR16NBBxYoV07333uvr0Lzi999/V0BAgLp166bjx4+rTp066tOnj6/DQhqiInSD3G63DMNIXjZN07KMzO/AgQPq3LmzXnzxRd12222+DsfrevfuraioKB0/flxz5871dTheM2/ePOXPn1/Vq1f3dSg+UbFiRY0YMULZs2dX7ty51bp1a61fv97XYXmNy+VSVFSU3n77bc2ZM0c7d+7UwoULfR0W0hAdoRsUERGh6Ojo5OXo6GhbDhPZ1bZt2/Tkk0+qX79+atWqla/D8apff/1Ve/bskSQFBwerYcOG2rdvn4+j8p4VK1bo22+/VYsWLfTBBx9o3bp1evvtt30dltd8//33ioqKSl42TdNWc4Xy5s2r6tWrK3fu3MqSJYvuv/9+W40G2AEdoRtUo0YNRUVF6cyZM7p06ZJWr16t2rVr+zoseMHx48fVo0cPjRw5Uk2bNvV1OF539OhRDRw4UImJiUpMTNSXX36pypUr+zosr5k6daqWLVumxYsXq3fv3qpXr55eeeUVX4flNefPn9eIESOUkJCgCxcuaOHChbY5UUCS6tatq40bNyo2NlYul0sbNmxQ2bJlfR0W0pB9uvX/Ub58+dS3b1916NBBSUlJat26tSIjI30dFrxg8uTJSkhI0PDhw5Nva9u2rR577DEfRuU99913n3bu3KmWLVvKz89PDRs2tGWH0K7q1q2rHTt2qGXLlnK73WrXrp0qVqzo67C8pnz58urSpYvatWunpKQk3XvvvXr44Yd9HRbSkGGapunrIAAAAHyBoTEAAGBbdIQAAIBt0RECAAC2RUcIAADYFh0hAABgW3SEAACAbdERAgAAtkVHCMANady4sWrXrq0DBw74OhQASDN0hADckGXLlum2227TqlWrfB0KAKQZOkIAboifn58qV65sqx9cBZD58VtjAG5IfHy8VqxYIX6VB0BmQkUIwA0ZPXq0wsPDdfjwYV28eNHX4QBAmqAjBOC6fvjhB33xxRcaO3assmfPzoRpAJkGHSEA/yghIUGvvPKK3nzzTeXMmVOlS5fW3r17fR0WAKQJOkIA/tH777+vChUqqG7dupKk0qVLM2EaQKZBRwjANe3cuVMrV67UK6+8knxbmTJlqAgByDQMk1NAAACATVERAgAAtkVHCAAA2BYdIQAAYFt0hAAAgG3REQIAALZFRwgAANgWHSEAAGBbdIQAAIBt/R/zt3JfH05HlwAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -2868,9 +2873,9 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -2973,10 +2978,10 @@
    "outputs": [
     {
      "ename": "SyntaxError",
-     "evalue": "invalid syntax (, line 1)",
+     "evalue": "invalid syntax (2259440937.py, line 1)",
      "output_type": "error",
      "traceback": [
-      "\u001b[0;36m  File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    conda create -n tf tensorflow\u001b[0m\n\u001b[0m          ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+      "\u001b[0;36m  Input \u001b[0;32mIn [12]\u001b[0;36m\u001b[0m\n\u001b[0;31m    conda create -n tf tensorflow\u001b[0m\n\u001b[0m          ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
      ]
     }
    ],
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter10_39_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter10_39_1.png
index 379a0198a..51eceb2fa 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter10_39_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter10_39_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter10_59_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter10_59_1.png
index 44c9e3643..d8f678033 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter10_59_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter10_59_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter10_59_2.png b/doc/LectureNotes/_build/jupyter_execute/chapter10_59_2.png
index 8bd0f3142..45a30c936 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter10_59_2.png and b/doc/LectureNotes/_build/jupyter_execute/chapter10_59_2.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter10_63_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter10_63_0.png
index 245832279..094f22b85 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter10_63_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter10_63_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter10_63_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter10_63_1.png
index 74f9c1c5c..63f89ad96 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter10_63_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter10_63_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter11.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter11.ipynb
index e036b6549..44f6fad75 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter11.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter11.ipynb
@@ -798,16 +798,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0oAAANVCAYAAABGWg6jAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAACgVElEQVR4nOzdd3QUZcPG4Xt20ys1hBI6UqSKgjQBkSJFRFFBAQHbixWV14YCooKCYgcLSlGaSpEivQlIr9JBeg01CenJPt8ffMlrSIAACbNJftc5ew6ZnZm9d3Z3Njcz88QyxhgBAAAAAFI57A4AAAAAAO6GogQAAAAAl6AoAQAAAMAlKEoAAAAAcAmKEgAAAABcgqIEAAAAAJegKAEAAADAJShKAAAAAHAJihIAAAAAXIKi5GZGjx4ty7JSbx4eHipRooR69Oiho0ePZuljJSQk6D//+Y+KFi0qp9OpmjVrZun6cXmTJk3SrbfeKl9fX1mWpU2bNtkdKduULl1a3bt3v+mPe+zYMQ0YMMDttq1lWXr++eftjiHLsjRgwIBrXi5lH3XgwIEsz+RuVq1apYceekhFixaVl5eXQkND1bFjR61cuTLdvJfuu318fBQaGqqmTZtq8ODBCg8PT7fMgAED0ixz6S0vbGO7NGnSRE2aNLnqfIMGDdK0adOy/PEvt96U99G6deuy/DHdxZIlS2RZlpYsWXLNy44fP16fffZZhvdd7z4ts+z4LruR5zR8+HCNHj063fQDBw7IsqwM70N6HnYHQMZGjRqlSpUqKTY2Vn/++acGDx6spUuX6u+//5a/v3+WPMaIESP07bff6ssvv1Tt2rUVEBCQJevFlZ06dUpdu3ZVq1atNHz4cHl7e+uWW26xO1auc+zYMb377rsqXbo0/wmQhdq0aaOVK1eqaNGidkfJVl9++aV69+6tOnXqaMiQISpVqpQOHTqkr7/+Wg0bNtTnn3+eYeFN2XcnJiYqPDxcy5cv10cffaSPP/5YkyZN0j333JNumTlz5ig4ODjd9Ny+jXOCQYMGqWPHjrr//vtzxHpzu/Hjx2vr1q3q3bt3uvtWrlypEiVK3PxQbmr48OEqVKhQunJXtGhRrVy5UuXKlbMnWA5DUXJTVatW1e233y5Jatq0qZKTk/Xee+9p2rRpeuyxx25o3TExMfLz89PWrVvl6+ubpf+7HRsbK19f3yxbX260e/duJSYmqkuXLmrcuLHdca5JcnKykpKS5O3tbXeUHCe3fDYKFy6swoUL2x0jW61YsUK9e/dW69atNXXqVHl4/O+rslOnTurQoYNeeukl1apVSw0aNEiz7L/33ZL04IMP6uWXX1bDhg31wAMPaM+ePSpSpEiaZWrXrq1ChQpl75PKJVK+v4BL3XnnnXZHyBG8vb3ZVteAU+9yiJQ39cGDByVJxhgNHz5cNWvWlK+vr/Lnz6+OHTtq3759aZZr0qSJqlatqj///FP169eXn5+fevbsKcuyNHLkSMXGxqae5pFyGDYuLk5vvvmmypQpIy8vLxUvXlzPPfeczp8/n2bdpUuXVtu2bTVlyhTVqlVLPj4+evfdd1MPq48fP16vv/66ihYtqoCAALVr104nT55UVFSUnn76aRUqVEiFChVSjx49dOHChTTr/vrrr3XXXXcpJCRE/v7+qlatmoYMGaLExMQMn9/atWvVqFEj+fn5qWzZsvrwww/lcrnSzHv+/Hm9+uqrKlu2rLy9vRUSEqLWrVtr586dqfMkJCTo/fffV6VKleTt7a3ChQurR48eOnXqVKZep+nTp6tevXry8/NTYGCgmjdvnuY0ne7du6thw4aSpEceeUSWZV3x9I+U0zAWL16sXr16qVChQipYsKAeeOABHTt2LN38kyZNUr169eTv76+AgAC1bNlSGzduTLfNMnrM7t27q3Tp0qk/pxyeHzJkiN5//32VKVNG3t7eWrx4seLi4vTqq6+qZs2aCg4OVoECBVSvXj39/vvvmdpOGUk5Je2nn35S5cqV5efnpxo1amjmzJnp5t2zZ48effRRhYSEyNvbW5UrV9bXX3+dev+SJUt0xx13SJJ69OiR+h4fMGCAZs2aJcuytHbt2tT5J0+eLMuy1KZNmzSPU716dT344IOpP9/oZyMjxhi99dZb8vT01Pfff3/FbfTrr7+qbt26Cg4OTn2v9+zZM808hw4dUpcuXdJsm08++STd5+HfNm/eLMuy9MMPP6S7b/bs2bIsS9OnT5eU8al31/I53LZtm1q0aCE/Pz8VLlxYzz33XOprcrVTcfbu3asePXqoQoUK8vPzU/HixdWuXTv9/fffaeZL2QdNmDBBffv2VbFixRQUFKR77rlHu3btuuJjSNLgwYNlWZZGjBiRpiRJkoeHh4YPHy7LsvThhx9edV2SVLJkSX3yySeKiorSt99+m6llMmv8+PGqV6+eAgICFBAQoJo1a6Z7HX/88UfVqFFDPj4+KlCggDp06KAdO3akmad79+4KCAjQzp071bJlS/n7+6to0aKpz3HVqlVq2LCh/P39dcstt2jMmDFplk95X8yfP189evRQgQIF5O/vr3bt2qX7Xpo/f77at2+vEiVKyMfHR+XLl9czzzyj06dPp5kv5dTEDRs2qGPHjsqfP3/q/4Jn9jvQGJN6RNDHx0e33XabZs+enalta1mWoqOjNWbMmNR9yL/3nVu3blX79u2VP39++fj4qGbNmum2y/WsV5KioqKybJ+fkVOnTunZZ59VlSpVFBAQoJCQEN19991atmxZmvlSvgc+/vhjDRs2TGXKlFFAQIDq1aunVatWpZl33bp16tSpk0qXLi1fX1+VLl1anTt3Tv295XJ++uknWZaV4SmtAwcOlKenp44dO6YmTZpo1qxZOnjwYJpTVFNkdJra0aNH9fTTTyssLExeXl4qVqyYOnbsqJMnT0pStnyXZdd+WvrfZ+JSl+6XS5curW3btmnp0qWp2ynl+/1yp94tX75czZo1U2BgoPz8/FS/fn3NmjUrw8fJ7O8kuYKBWxk1apSRZNauXZtm+ueff24kme+++84YY8xTTz1lPD09zauvvmrmzJljxo8fbypVqmSKFCliTpw4kbpc48aNTYECBUxYWJj58ssvzeLFi83SpUvNypUrTevWrY2vr69ZuXKlWblypQkPDzcul8u0bNnSeHh4mHfeecfMmzfPfPzxx8bf39/UqlXLxMXFpa67VKlSpmjRoqZs2bLmxx9/NIsXLzZr1qwxixcvNpJMqVKlTPfu3c2cOXPMN998YwICAkzTpk1N8+bNTZ8+fcy8efPMRx99ZJxOp3nhhRfSPN+XX37ZjBgxwsyZM8csWrTIfPrpp6ZQoUKmR48eaeZr3LixKViwoKlQoYL55ptvzPz5882zzz5rJJkxY8akzhcZGWluvfVW4+/vbwYOHGjmzp1rJk+ebF566SWzaNEiY4wxycnJplWrVsbf39+8++67Zv78+WbkyJGmePHipkqVKiYmJuaKr924ceOMJNOiRQszbdo0M2nSJFO7dm3j5eVlli1bZowxZu/evebrr782ksygQYPMypUrzbZt2676fihbtqx54YUXzNy5c83IkSNN/vz5TdOmTdPM+8EHHxjLskzPnj3NzJkzzZQpU0y9evWMv79/msdo3Lixady4cbrHevzxx02pUqVSf96/f7+RZIoXL26aNm1qfvvtNzNv3jyzf/9+c/78edO9e3fz008/mUWLFpk5c+aYPn36GIfDkWa7G3PxffL4449fcdsZY4wkU7p0aVOnTh3zyy+/mD/++MM0adLEeHh4mH/++Sd1vm3btpng4GBTrVo1M3bsWDNv3jzz6quvGofDYQYMGGCMMSYiIiJ127399tup7/HDhw+bqKgo4+npaQYNGpS6zv/85z/G19fX+Pv7m4SEBGOMMSdPnjSWZZnhw4cbY0yWfDZSnudzzz1njDEmLi7OdOrUyQQGBprZs2dfcfv89ddfxrIs06lTJ/PHH3+YRYsWmVGjRpmuXbumzhMeHm6KFy9uChcubL755hszZ84c8/zzzxtJplevXum2d//+/VN/rlWrlmnQoEG6x3344YdNSEiISUxMNMb87z25f//+1Hky+zk8duyYKViwoClZsqQZPXq0+eOPP0zXrl1N6dKljSSzePHiK26DpUuXmldffdX89ttvZunSpWbq1Knm/vvvN76+vmbnzp2p86Xsg0qXLm0ee+wxM2vWLDNhwgRTsmRJU6FCBZOUlHTZx0hKSjJ+fn6mbt26V8xSp04d4+fnl7quy+27U1y4cME4nU7TrFmz1Gn9+/c3ksyJEydMYmJimtuVMqZ45513jCTzwAMPmF9//dXMmzfPDBs2zLzzzjup8wwaNMhIMp07dzazZs0yY8eONWXLljXBwcFm9+7dqfM9/vjjxsvLy1SuXNl8/vnnZv78+aZHjx5GknnzzTfNLbfcYn744Qczd+5c07ZtWyPJrFu3LnX5lOcfFhZmevbsaWbPnm2+++47ExISYsLCwsy5c+dS5x0xYoQZPHiwmT59ulm6dKkZM2aMqVGjhqlYsWLq5+/f26dUqVLm9ddfN/PnzzfTpk0zxmT+OzBlHU888URqpuLFi5vQ0NAM94P/tnLlSuPr62tat26dug9J2Zfu3LnTBAYGmnLlypmxY8eaWbNmmc6dOxtJ5qOPPrru9WbHPj8jO3fuNL169TITJ040S5YsMTNnzjRPPPGEcTgcaT6HKd8DpUuXNq1atTLTpk0z06ZNM9WqVTP58+c358+fT533119/Nf369TNTp041S5cuNRMnTjSNGzc2hQsXNqdOnUqdL+XzmfI48fHxJjQ01Dz22GNpMiYmJppixYqZhx56yBhzcd/foEEDExoamrrdVq5cmTr/pfu0I0eOmKJFi5pChQqZYcOGmQULFphJkyaZnj17mh07dhhjTJZ/l2X3fjrl/XypS/fLGzZsMGXLljW1atVK3U4bNmwwxvzvNR01alTq8kuWLDGenp6mdu3aZtKkSWbatGmmRYsWxrIsM3HixHSPk5n3Z25BUXIzKW/CVatWmcTERBMVFWVmzpxpChcubAIDA82JEyfMypUrjSTzySefpFn28OHDxtfX17z22mup0xo3bmwkmYULF6Z7rMcff9z4+/unmTZnzhwjyQwZMiTN9EmTJqUpasZc3Gk4nU6za9euNPOm7ATbtWuXZnrv3r2NJPPiiy+mmX7//febAgUKXHabJCcnm8TERDN27FjjdDrN2bNn0z2/1atXp1mmSpUqpmXLlqk/Dxw40Egy8+fPv+zjTJgwwUgykydPTjN97dq1RlLqL8yXy1isWDFTrVo1k5ycnDo9KirKhISEmPr166dOS9k+v/7662XXlyLl/fDss8+mmT5kyBAjyRw/ftwYY8yhQ4eMh4dHusIZFRVlQkNDzcMPP5w67VqLUrly5dL88pKRpKQkk5iYaJ544glTq1atNPddS1EqUqSIiYyMTJ124sQJ43A4zODBg1OntWzZ0pQoUcJERESkWf755583Pj4+qe+PlNft318GKRo2bGjuvvvu1J/Lly9v/vvf/xqHw2GWLl1qjPlf8U35ZTIrPhspz/O5554zZ86cMQ0bNjTFixc3mzZtuur2+fjjj42kNL+YXOqNN97I8PPQq1cvY1lWmjyXfgF/8cUXRlKaec6ePWu8vb3Nq6++mjrtckUpM5/D//73v8ayrHS/xLVs2TJTRelSSUlJJiEhwVSoUMG8/PLLqdNTPmOtW7dOM/8vv/xiJKX55epSJ06cMJJMp06drvjYjzzyiJFkTp48aYy5elEyxpgiRYqYypUrp/6c8ktPRrdy5cpd8fH37dtnnE5nul8u/+3cuXOpv5D/26FDh4y3t7d59NFHU6c9/vjj6fZ/iYmJpnDhwkZS6i9Zxhhz5swZ43Q6zSuvvJI6LeX5d+jQIc1jrVixwkgy77//foYZXS6XSUxMNAcPHjSSzO+//55u+/Tr1y/NMpn9Djx37pzx8fG5bKarFSVjjPH3989w/9WpUyfj7e1tDh06lGb6vffea/z8/K74Ob3SerNjn58ZKfvwZs2apdleKd8D1apVS1Pe16xZYySZCRMmXHGdFy5cMP7+/ubzzz9PnX5pUTLm4mvt5eWV+nky5n/71pR9sjHGtGnTJs331L9duk/r2bOn8fT0NNu3b8/MJkjNfCPfZdm9n85sUTLGmFtvvTXD93hGRenOO+80ISEhJioqKnVaUlKSqVq1qilRooRxuVxpHudq78/chFPv3NSdd94pT09PBQYGqm3btgoNDdXs2bNVpEgRzZw5U5ZlqUuXLkpKSkq9hYaGqkaNGulOX8mfP7/uvvvuTD3uokWLJCndxX8PPfSQ/P39tXDhwjTTq1evftmBCNq2bZvm58qVK0tSutObKleurLNnz6Y5/W7jxo267777VLBgQTmdTnl6eqpbt25KTk7W7t270ywfGhqqOnXqpMv178P9s2fP1i233JLhhdQpZs6cqXz58qldu3ZptmvNmjUVGhp6xdOCdu3apWPHjqlr165yOP73sQoICNCDDz6oVatWKSYm5rLLX819992X7vlJ/zsVc+7cuUpKSlK3bt3SZPfx8VHjxo2va3Shfz+2p6dnuum//vqrGjRooICAAHl4eMjT01M//PBDulN6rkXTpk0VGBiY+nORIkUUEhKS+jzj4uK0cOFCdejQQX5+fmmea+vWrRUXF5fudJCMNGvWTCtWrFBsbKwOHjyovXv3qlOnTqpZs6bmz58vSVqwYIFKliypChUqSMraz8b+/ftVr149RUZGatWqVapRo8ZVM6ecSvjwww/rl19+yXAUzEWLFqlKlSrpPg/du3eXMSb1OWTksccek7e3d5rTMSZMmKD4+Hj16NHjqvky8zlcunSpqlatqipVqqSZr3PnzlddvyQlJSVp0KBBqlKliry8vOTh4SEvLy/t2bMnw/fd1T43N8IYI0kZngZztWUutWDBAq1duzbN7Wojrc2fP1/Jycl67rnnLjvPypUrFRsbm+49GxYWprvvvjvde9ayLLVu3Tr1Zw8PD5UvX15FixZVrVq1UqcXKFAgzefy3y69hrZ+/foqVaqUFi9enDotPDxc//nPfxQWFpa67yhVqpQkZfg6/vv0V0mZ/g5cuXKl4uLiLpvpRixatEjNmjVTWFhYmundu3dXTExMhqeRXYubsc//5ptvdNttt8nHxyf1dVi4cGGGr0GbNm3kdDovm0eSLly4oNdff13ly5eXh4eHPDw8FBAQoOjo6Kt+L/Tq1UuS0px+/NVXX6latWq66667rvpcMjJ79mw1bdo09XePy8nK77Ls3k9nh+joaK1evVodO3ZMM6iX0+lU165ddeTIkXSnLGfnvtXdUJTc1NixY7V27Vpt3LhRx44d05YtW1IvGj558qSMMSpSpIg8PT3T3FatWpXuPO9rGTnpzJkz8vDwSHextmVZCg0N1ZkzZzK97gIFCqT52cvL64rT4+LiJF08d7dRo0Y6evSoPv/8cy1btkxr165NvQYlNjY2zfIFCxZM99je3t5p5jt16tRVR8M5efKkzp8/Ly8vr3Tb9cSJE+m267+lbJeMtkexYsXkcrl07ty5Kz7+lVz6HFMGU0h5jinnW99xxx3psk+aNOmK2a8mo+c0ZcoUPfzwwypevLh+/vlnrVy5UmvXrlXPnj1TX8frcbXX8syZM0pKStKXX36Z7nmm/IKXmed6zz33KD4+XsuXL9f8+fNVqFAh1apVS/fcc48WLFggSVq4cGGaYp2Vn401a9Zo9+7deuSRRzI9StNdd92ladOmpf5yVKJECVWtWlUTJkxIk/Fy78GU+y+nQIECuu+++zR27FglJydLung+ep06dXTrrbdeNV9mPodnzpxJN5CBpAynZeSVV17RO++8o/vvv18zZszQ6tWrtXbtWtWoUSPdfiGjTJd+bjJSqFAh+fn5af/+/VfMcuDAAfn5+aXbn11OdHS0zpw5k/pa/FuNGjV0++23p7lVrVr1iutLuW7ySu+fq+2XLn0/+Pn5ycfHJ800Ly+vDJ+jl5dXhp/10NDQDKelPJbL5VKLFi00ZcoUvfbaa1q4cKHWrFmT+h8cGb02l+bP7HdgymNeLtONuJHPWmZk9z5/2LBh6tWrl+rWravJkydr1apVWrt2rVq1anXdn6VHH31UX331lZ588knNnTtXa9as0dq1a1W4cOErfuaki/uARx55RN9++62Sk5O1ZcsWLVu27IYGm8rM935Wf5dl9346O5w7d07GmGvKdD371pyKUe/cVOXKldOMnPRvhQoVkmVZWrZsWYajj1067Vr+x7NgwYJKSkrSqVOn0vxCaIzRiRMnUv+35HrWnVnTpk1TdHS0pkyZkuZ//W7k7+EULlxYR44cueI8KRclzpkzJ8P7/32k41IpO43jx4+nu+/YsWNyOBzKnz//NSS+NikjZv32229X/Z9SHx8fRUREpJt+uS/WjF7jn3/+WWXKlNGkSZPS3B8fH38tsa9Z/vz5U/+X63L/k16mTJmrrqdu3boKCAjQggULdODAATVr1kyWZalZs2b65JNPtHbtWh06dChNUcrKz8Yjjzyi0NBQ9e3bVy6XS2+//fZVM0tS+/bt1b59e8XHx2vVqlUaPHiwHn30UZUuXVr16tVTwYIFL/selHTVkdV69OihX3/9VfPnz1fJkiW1du1ajRgxIlPZMqNgwYKpv+D924kTJzK1/M8//6xu3bpp0KBBaaafPn1a+fLly4qIcjqdatq0qebMmaMjR45k+IvWkSNHtH79et17771p/pf9SmbNmqXk5ORM/e2ezEh5Dx45ciTdUY0UV9svZcdIexm9lidOnFD58uUlXRwAYfPmzRo9erQef/zx1Hn27t172XVe+lnK7HdgyvO/XKZ/D15zrW70s3ajrmWfn5Gff/5ZTZo0Sff5joqKuq48ERERmjlzpvr376833ngjdXp8fLzOnj2bqXW89NJL+umnn/T7779rzpw5ypcv3w2N8puZ7/3s+C7Lzv10yn9kxMfHp3nv38h/hubPn18Oh8PW97M744hSDtS2bVsZY3T06NF0/wt5++23q1q1ate97mbNmkm6uPP4t8mTJys6Ojr1/uyUsrP6907AGHPVEcGu5N5779Xu3buveEi7bdu2OnPmjJKTkzPcrhUrVrzsshUrVlTx4sU1fvz4NKfXREdHa/Lkyakj4WWXli1bysPDQ//880+G2f9dukuXLq3du3en+SI4c+aM/vrrr0w/nmVZ8vLySvPFcuLEiRsaKSgz/Pz81LRpU23cuFHVq1fP8Hmm/HJ0pf/h8vT01F133aX58+dr0aJFat68uSSpUaNG8vDw0Ntvv51anFJk9Wfj7bff1meffaZ+/frpzTffvKZlvb291bhxY3300UeSlDrKVbNmzbR9+3Zt2LAhzfxjx46VZVlq2rTpFdfbokULFS9eXKNGjdKoUaPk4+OT6dPiMqNx48baunWrtm/fnmb6xIkTM7W8ZVnpfjGeNWtWlv8x7jfffFPGGD377LOpR9dSJCcnq1evXjLGZPp1O3TokPr06aPg4GA988wzWZKxRYsWcjqdVyyy9erVk6+vb7r37JEjR1JPHctq48aNS/PzX3/9pYMHD6YWxIz275KuaTTAzH4H3nnnnfLx8blspsy49KhoimbNmmnRokXpRvoaO3as/Pz8rjr88uXWm1nXss/PSEafpS1btlz3KYOWZckYk26dI0eOTPcZupzatWurfv36+uijjzRu3Dh179493d+NvJbtdu+992rx4sVXHOkyO7/LsmM/nVLut2zZkmb6jBkzMnz8zGwrf39/1a1bV1OmTEkzv8vl0s8//6wSJUrk6b/1yBGlHKhBgwZ6+umn1aNHD61bt0533XWX/P39dfz4cS1fvlzVqlVLPd/3WjVv3lwtW7bU66+/rsjISDVo0EBbtmxR//79VatWLXXt2jWLn03GGby8vNS5c2e99tpriouL04gRI27o1LXevXtr0qRJat++vd544w3VqVNHsbGxWrp0qdq2baumTZuqU6dOGjdunFq3bq2XXnpJderUkaenp44cOaLFixerffv26tChQ4brdzgcGjJkiB577DG1bdtWzzzzjOLj4zV06FCdP38+08MIX6/SpUtr4MCB6tu3r/bt26dWrVopf/78OnnypNasWSN/f//U4am7du2qb7/9Vl26dNFTTz2lM2fOaMiQIQoKCsr046UMff3ss8+qY8eOOnz4sN577z0VLVpUe/bsya6nKUn6/PPP1bBhQzVq1Ei9evVS6dKlFRUVpb1792rGjBmpZbhcuXLy9fXVuHHjVLlyZQUEBKhYsWKppxI0a9ZMr776qiSlHjny9fVV/fr1NW/ePFWvXl0hISGpj5sdn42XXnpJAQEBevrpp3XhwgV98cUXlz0S1a9fPx05ckTNmjVTiRIldP78eX3++efy9PRM/XtcL7/8ssaOHas2bdpo4MCBKlWqlGbNmqXhw4erV69eV/2yczqd6tatm4YNG6agoCA98MADGf4h1OvVu3dv/fjjj7r33ns1cOBAFSlSROPHj08dov/f1/dlpG3btho9erQqVaqk6tWra/369Ro6dGiW/5HJBg0a6LPPPlPv3r3VsGFDPf/88ypZsmTqH5xdvXq1PvvsM9WvXz/dslu3bk29XiQ8PFzLli3TqFGj5HQ6NXXq1Az/BtX69esz3M5VqlS57OeydOnSeuutt/Tee+8pNjZWnTt3VnBwsLZv367Tp0/r3XffVb58+fTOO+/orbfeUrdu3dS5c2edOXNG7777rnx8fNS/f/8b31iXWLdunZ588kk99NBDOnz4sPr27avixYvr2WeflSRVqlRJ5cqV0xtvvCFjjAoUKKAZM2akXhuYGZn9DsyfP7/69Omj999/P02mAQMGZPrUu2rVqmnJkiWaMWOGihYtqsDAQFWsWFH9+/fXzJkz1bRpU/Xr108FChTQuHHjNGvWLA0ZMuSqn5vLrTezrmWfn5G2bdvqvffeU//+/dW4cWPt2rVLAwcOVJkyZZSUlJTpHCmCgoJ01113aejQoSpUqJBKly6tpUuX6ocffrimo70vvfRS6p/OSHnP/Fu1atU0ZcoUjRgxQrVr15bD4bhsKRw4cKBmz56tu+66S2+99ZaqVaum8+fPa86cOXrllVdUqVKlLP8uy+79dOvWrVWgQAE98cQTGjhwoDw8PDR69GgdPnw4w201ceJETZo0SWXLlpWPj89l/yN98ODBat68uZo2bao+ffrIy8tLw4cP19atWzVhwoRsOXsox7jpw0fgijIzclKKH3/80dStW9f4+/sbX19fU65cOdOtW7c0Q7Y2btzY3HrrrRkun9God8YYExsba15//XVTqlQp4+npaYoWLWp69eqVZnhXYy6OANOmTZt0y19uVLfLPbeUUVz+PXzojBkzTI0aNYyPj48pXry4+e9//2tmz56dbqScyz2/S0dwM+biCEgvvfSSKVmypPH09DQhISGmTZs2aYYVTkxMNB9//HHqYwcEBJhKlSqZZ555xuzZsyfd41xq2rRppm7dusbHx8f4+/ubZs2amRUrVmRq+2Tkctsso1GDUh6/adOmJigoyHh7e5tSpUqZjh07mgULFqSZb8yYMaZy5crGx8fHVKlSxUyaNOmyo94NHTo0w2wffvihKV26tPH29jaVK1c233//fYYj8lzLqHcpw2Zfbfn9+/ebnj17muLFixtPT09TuHBhU79+/XQja02YMMFUqlTJeHp6phs9aPPmzUaSqVChQpplPvjgAyMpzYheKW70s3G55zlhwgTj4eFhevTokWbUxH+bOXOmuffee03x4sWNl5eXCQkJMa1bt04dej7FwYMHzaOPPmoKFixoPD09TcWKFc3QoUPTrffS7ZFi9+7dqSOvZTRK5OVGvcvs53Dr1q3mnnvuMT4+PqZAgQLmiSeeMGPGjDGSzObNmzN87inOnTtnnnjiCRMSEmL8/PxMw4YNzbJly9KN5Hi5z1hGoz1dycqVK03Hjh1NkSJFjIeHhwkJCTEPPPCA+euvv9LNm7JdUm4pr1Hjxo3NoEGDTHh4eLplrjTq3eW2/6XGjh1r7rjjjtT9Va1atdI9v5EjR5rq1asbLy8vExwcbNq3b59u5MHLfR9c7rW99D2e8vznzZtnunbtavLly5c64t6l+87t27eb5s2bm8DAQJM/f37z0EMPmUOHDl12hK9/fzf8W2a+A10ulxk8eLAJCwszXl5epnr16mbGjBmXHf3zUps2bTINGjQwfn5+6UbK+/vvv027du1McHCw8fLyMjVq1Mj0e+ty682uff6l4uPjTZ8+fUzx4sWNj4+Pue2228y0adOu6Xvg0tfryJEj5sEHHzT58+c3gYGBplWrVmbr1q3p9uGXey4puby9vU2rVq0yzH327FnTsWNHky9fPmNZVprvm4z2aYcPHzY9e/Y0oaGhxtPT0xQrVsw8/PDDaUbXy8rvspuxn16zZo2pX7++8ff3N8WLFzf9+/c3I0eOTLdfPnDggGnRooUJDAw0klJf18vtB5ctW2buvvvu1M/TnXfeaWbMmJFmnmt9f+YGljGXGYYHAICb4Omnn9aECRN05syZ1MFdkLOMHj1aPXr00Nq1a6962hdwOTNmzNB9992nWbNmpRmBEbALp94BAG6agQMHqlixYipbtqwuXLigmTNnauTIkXr77bcpSUAetX37dh08eFCvvvqqatasqXvvvdfuSIAkihIA4Cby9PTU0KFDdeTIESUlJalChQoaNmyYXnrpJbujAbDJs88+qxUrVui2227TmDFj8vY1MXArnHoHAAAAAJdgeHAAAAAAuARFCQAAAAAuQVECAAAAgEvk+sEcXC6Xjh07psDAQC4OBAAAAPIwY4yioqJUrFixq/6h81xflI4dO6awsDC7YwAAAABwE4cPH1aJEiWuOE+uL0qBgYGSLm6MoKAgm9MAAAAAsEtkZKTCwsJSO8KV5PqilHK6XVBQEEUJAAAAQKYuyWEwBwAAAAC4BEUJAAAAAC5BUQIAAACAS+T6a5QAAACAKzHGKCkpScnJyXZHwQ1yOp3y8PDIkj8LRFECAABAnpWQkKDjx48rJibG7ijIIn5+fipatKi8vLxuaD0UJQAAAORJLpdL+/fvl9PpVLFixeTl5ZUlRyJgD2OMEhISdOrUKe3fv18VKlS46h+VvRKKEgAAAPKkhIQEuVwuhYWFyc/Pz+44yAK+vr7y9PTUwYMHlZCQIB8fn+teF4M5AAAAIE+7kaMOcD9Z9XryrgAAAACAS1CUAAAAAOASFCUAAAAAGWrSpIl69+59Q+s4cOCALMvSpk2bsiSTJFmWpWnTpmXZ+jLCYA4AAAAAskT37t11/vz5NCUmLCxMx48fV6FChewLdh0oSgAAAACyjdPpVGhoqN0xrhmn3gEAAAD/zxijmIQkW27GmGvKOmfOHDVs2FD58uVTwYIF1bZtW/3zzz+S/ne625QpU9S0aVP5+fmpRo0aWrlyZeryZ86cUefOnVWiRAn5+fmpWrVqmjBhwmUfb+DAgapWrVq66bVr11a/fv00YMAAjRkzRr///rssy5JlWVqyZEmGp95t27ZNbdq0UVBQkAIDA9WoUaPU7GvXrlXz5s1VqFAhBQcHq3HjxtqwYcM1bZuswBElAAAA4P/FJiarSr+5tjz29oEt5eeV+V/Po6Oj9corr6hatWqKjo5Wv3791KFDhzSFpG/fvvr4449VoUIF9e3bV507d9bevXvl4eGhuLg41a5dW6+//rqCgoI0a9Ysde3aVWXLllXdunXTPV7Pnj317rvvau3atbrjjjskSVu2bNHGjRv166+/KiQkRDt27FBkZKRGjRolSSpQoICOHTuWZj1Hjx7VXXfdpSZNmmjRokUKCgrSihUrlJSUJEmKiorS448/ri+++EKS9Mknn6h169bas2ePAgMDr2mb3giKEgAAAJADPfjgg2l+/uGHHxQSEqLt27crICBAktSnTx+1adNGkvTuu+/q1ltv1d69e1WpUiUVL15cffr0SV3+hRde0Jw5c/Trr79mWJRKlCihli1batSoUalFadSoUWrcuLHKli0r6eIffI2Pj7/iqXZff/21goODNXHiRHl6ekqSbrnlltT777777jTzf/vtt8qfP7+WLl2qtm3bZnr73CiKEgAAAPD/fD2d2j6wpW2PfS3++ecfvfPOO1q1apVOnz4tl8slSTp06JCqVKkiSapevXrq/EWLFpUkhYeHq1KlSkpOTtaHH36oSZMm6ejRo4qPj1d8fLz8/f0v+5hPPfWUevbsqWHDhsnpdGrcuHH65JNPrin3pk2b1KhRo9SSdKnw8HD169dPixYt0smTJ5WcnKyYmBgdOnTomh7nRlGUAAAAgP9nWdY1nf5mp3bt2iksLEzff/+9ihUrJpfLpapVqyohISF1nn+XEcuyJCm1UH3yySf69NNP9dlnn6latWry9/dX79690yyf0WN6e3tr6tSp8vb2Vnx8fLojW1fj6+t7xfu7d++uU6dO6bPPPlOpUqXk7e2tevXqXTFXdsgZ7wIAAAAAqc6cOaMdO3bo22+/VaNGjSRJy5cvv6Z1LFu2TO3bt1eXLl0kXSxQe/bsUeXKlS+7jIeHhx5//HGNGjVK3t7e6tSpk/z8/FLv9/LyUnJy8hUft3r16hozZowSExMzPKq0bNkyDR8+XK1bt5YkHT58WKdPn76m55YVGPUOAAAAyGHy58+vggUL6rvvvtPevXu1aNEivfLKK9e0jvLly2v+/Pn666+/tGPHDj3zzDM6ceLEVZd78skntWjRIs2ePVs9e/ZMc1/p0qW1ZcsW7dq1S6dPn1ZiYmK65Z9//nlFRkaqU6dOWrdunfbs2aOffvpJu3btSs31008/aceOHVq9erUee+yxqx6Fyg4UJQAAACCHcTgcmjhxotavX6+qVavq5Zdf1tChQ69pHe+8845uu+02tWzZUk2aNFFoaKjuv//+qy5XoUIF1a9fXxUrVkw36MNTTz2lihUr6vbbb1fhwoW1YsWKdMsXLFhQixYt0oULF9S4cWPVrl1b33//ferRpR9//FHnzp1TrVq11LVrV7344osKCQm5pueWFSxzrQO25zCRkZEKDg5WRESEgoKC7I4DAAAANxEXF6f9+/erTJky8vHxsTtOjmGMUaVKlfTMM89c81Gsm+FKr+u1dAOuUQIAAACQKeHh4frpp5909OhR9ejRw+442YqiBAAAACBTihQpokKFCum7775T/vz57Y6TrShKAAAAADIll1+1kwaDOQAAAADAJShKAAAAAHAJihIAAAAAXMLWovTnn3+qXbt2KlasmCzL0rRp09Lcb4zRgAEDVKxYMfn6+qpJkybatm2bPWEBAAAA5Bm2FqXo6GjVqFFDX331VYb3DxkyRMOGDdNXX32ltWvXKjQ0VM2bN1dUVNRNTgoAAAAgL7G1KN177716//339cADD6S7zxijzz77TH379tUDDzygqlWrasyYMYqJidH48eNtSHvjTh3dr5Vj+sqV7LI7CgAAAIArcNtrlPbv368TJ06oRYsWqdO8vb3VuHFj/fXXX5ddLj4+XpGRkWlu7iA+LkYe39+levu/0pZFE+2OAwAAAOAK3LYonThxQtLFP2r1b0WKFEm9LyODBw9WcHBw6i0sLCxbc2aWt4+fdha7X5Lkv3qYjIujSgAAAIC7ctuilMKyrDQ/G2PSTfu3N998UxEREam3w4cPZ3fETLvl/jcUY7xVIWmPtv45xe44AAAAAC7DbYtSaGioJKU7ehQeHp7uKNO/eXt7KygoKM3NXRQMKa7NRS5ej+W54hOOKgEAALgbY6SEaHtuxmQ6ZpMmTfTiiy/qtddeU4ECBRQaGqoBAwak3m9ZlkaOHKkOHTrIz89PFSpU0PTp07Nhg+VeHnYHuJwyZcooNDRU8+fPV61atSRJCQkJWrp0qT766COb012/8ve/qfhvf1OlxO3avnKWqjRoZ3ckAAAApEiMkQYVs+ex3zomeflnevYxY8bolVde0erVq7Vy5Up1795dDRo0UPPmzSVJ7777roYMGaKhQ4fqyy+/1GOPPaaDBw+qQIEC2fUMchVbjyhduHBBmzZt0qZNmyRdHMBh06ZNOnTokCzLUu/evTVo0CBNnTpVW7duVffu3eXn56dHH33Uztg3pHCxUtpQ+L6LP/w51N4wAAAAyLGqV6+u/v37q0KFCurWrZtuv/12LVy4MPX+7t27q3PnzipfvrwGDRqk6OhorVmzxsbEOYutR5TWrVunpk2bpv78yiuvSJIef/xxjR49Wq+99ppiY2P17LPP6ty5c6pbt67mzZunwMBAuyJnidL3vamEH6apSvxm7VozTxXrtLj6QgAAAMh+nn4Xj+zY9djXoHr16ml+Llq0qMLDwzO839/fX4GBgWnux5XZWpSaNGkic4VzMS3L0oABA9Kcb5kbFC1ZQasKtNad52YocdGHEkUJAADAPVjWNZ3+ZidPT880P1uWJde/roG/2v24MrcdzCG3K96ur5KMQ1Xj1uufjUvtjgMAAADgXyhKNgkrW1nr8108khQ9f5DNaQAAAAD8G0XJRkVav6VkY6l6zCod3LrS7jgAAAAA/p/bDg+eF5SuWENrAu9WnQsLdX7OIJWqOsPuSAAAAMgBlixZkm7atGnTUv+d0TgA58+fz75AuRBHlGyWv9WbchlLNS78qSO71tsdBwAAAIAoSrarUPUObfBvJEk6NesDm9MAAAAAkChKbsG/+RuSpBoRi3T8ny02pwEAAABAUXIDlWs10HqfenJYRsdnclQJAAAAsBtFyU143/26JKn62Xk6dXCnzWkAAADyjowGPkDOlVWvJ0XJTVSt01QbvW6Xh+XS4RkcVQIAAMhunp6ekqSYmBibkyArpbyeKa/v9WJ4cDdiNX5Nmv+wqp6apbPH/lGBYuXsjgQAAJBrOZ1O5cuXT+Hh4ZIkPz8/WZZlcypcL2OMYmJiFB4ernz58snpdN7Q+ihKbqRG/RbavKSGaiRu1v5pH6jAsz/aHQkAACBXCw0NlaTUsoScL1++fKmv642gKLkRy7KU1KCPtKSrqp6croiThxRcpKTdsQAAAHIty7JUtGhRhYSEKDEx0e44uEGenp43fCQpBUXJzdx2V1ttXV5FVZO2a+u0Qar9zDd2RwIAAMj1nE5nlv2CjdyBwRzcjOVwKLruK5KkKscnK+rMMZsTAQAAAHkPRckN3XH3g9rhuEW+StCeaR/aHQcAAADIcyhKbsjhdOj8HS9KkiodnqSY81xcCAAAANxMFCU3dUfzR7XHUUZ+itOuaR/ZHQcAAADIUyhKbsrDw6nwmi9IkiocGK+4qLM2JwIAAADyDoqSG7vj3se1zwpTgGK08/ehdscBAAAA8gyKkhvz8vTQkWrPSZLK7B2rhOgImxMBAAAAeQNFyc3VafOEDqqYgnVBO2YMszsOAAAAkCdQlNycj7eXDlR5RpJUcucoJcVG2ZwIAAAAyP0oSjnAHe2e0RGFKL8itH3WF3bHAQAAAHI9ilIO4Ofrqz23PCVJKrbte7kSYm1OBAAAAORuFKUc4vb2z+m4CqqQOaftfwy3Ow4AAACQq1GUcohAf39tL9tTkhSyeYRMUrzNiQAAAIDci6KUg9S+/0WFm/wKMae0Y853dscBAAAAci2KUg6SLyhIf5d6XJKUf8NXMsmJNicCAAAAcieKUg5To0NvnTFBKuo6oV3zR9kdBwAAAMiVKEo5TKH8+bWxRBdJUtDazyRXsr2BAAAAgFyIopQDVbv/VZ0zASqWfFR7Fv9kdxwAAAAg16Eo5UBFChfS+qKdJEk+K4dJLpfNiQAAAIDchaKUQ1Vq30dRxldhSQe1b/kku+MAAAAAuQpFKYcqUbSoVhd+SJLkXP6xZIzNiQAAAIDcg6KUg1Vo/5ouGB+VStirgyun2B0HAAAAyDUoSjlYqbAwrSrYQZLkWjqEo0oAAABAFqEo5XBl2r2uWOOlMvE7dWT9LLvjAAAAALkCRSmHK1emjP7K106SFL/wQ44qAQAAAFmAopQLFG/zuuKNp8rF/q3jmxfYHQcAAADI8ShKuUClWypqRdC9kqQL8wfZnAYAAADI+ShKuUShVq8rwThVIXqDwrcttTsOAAAAkKNRlHKJ6rdW1YqA5pKk83M+sDkNAAAAkLNRlHKRfC3eUJJx6Jao1Tqze6XdcQAAAIAci6KUi9SsXlPLfZtKkk7/wVElAAAA4HpRlHIRy7Lkd8/rchlLFc8v07l96+2OBAAAAORIFKVc5o7adbTcu5Ek6eTM921OAwAAAORMFKVcxrIseTR9TZJ0y5nFijz0t82JAAAAgJyHopQL1buzoZZ71pPDMjo6/T274wAAAAA5DkUpF7IsS6ZhH0nSLafn6cKxnTYnAgAAAHIWilIuVb9RM61y3i6njA5P51olAAAA4FpQlHIpp8NSbP1XJUkVTsxSbPg/NicCAAAAcg6KUi7WqEkrrXXUkIdcOjCNv6sEAAAAZBZFKRfzcDoUWedlSVL5Y78r7sxBmxMBAAAAOQNFKZdrdE97bbBulaeSdOD3QXbHAQAAAHIEilIu5+Xh0OnaL0mSyhyarIRzx2xOBAAAALg/ilIecFeLB7XFqihvJWr/9A/tjgMAAAC4PYpSHuDj5aGj1Z+XJJXcP1FJkeE2JwIAAADcG0Upj2jcurO2qZx8Fa99Mz6yOw4AAADg1ihKeYSft6cO3vqsJKnEnnFyRZ+1OREAAADgvihKeUjDtt20S6Xkp1j9M/Nju+MAAAAAbouilIcE+Xppd8X/SJJCd46WiYuwOREAAADgnihKeUzDdj31jymuQBOtf2Z9anccAAAAwC1RlPKY/AE+2lb+KUlSyNYfZOKjbE4EAAAAuB+KUh5Uv/3TOmBCFWQitX/OV3bHAQAAANwORSkPKhTkr82le0qSCmz+VkqMtTkRAAAA4F4oSnlUnfa9dNgUVj7XOR2YN9zuOAAAAIBboSjlUUULBGl92OOSpKANw6WkeJsTAQAAAO6DopSH1b7veR03BVQg+bQOLfrO7jgAAACA26Ao5WFhIfm1qmhXSZLfmi+l5ESbEwEAAADugaKUx9Vs/4JOmWAVSjqpo0tH2R0HAAAAcAsUpTyuTNHCWh7yqCTJc+WnUnKSzYkAAAAA+1GUoFvve1lnTKBCEo/pxF8/2x0HAAAAsB1FCbolrIj+LPiwJMla9onkSrY5EQAAAGAvihIkSRXbvaLzxl9FEg4pfPUvdscBAAAAbEVRgiSpSpkSWpLvQUlS8pIhkstlcyIAAADAPhQlpCrd5lVFGV8Vjd+nMxum2R0HAAAAsA1FCalq3lJaC4PaS5LiFn4oGWNzIgAAAMAeFCWkUbxVH0UbbxWP3aVzm2fZHQcAAACwBUUJadxepbwW+LeVJEXPH8xRJQAAAORJFCWkYVmWCrfsozjjqRLRWxW5fb7dkQAAAICbjqKEdOpVr6z5vq0kSRFzBtmcBgAAALj5KEpIx7IsBTXro3jjobCojbqwa6ndkQAAAICbiqKEDDWqXUMLvO+RJJ2Z/b7NaQAAAICbi6KEDDkclnya9lGicarU+TWK/mel3ZEAAACAm4aihMtqUvd2LfBsIkk6PYujSgAAAMg7KEq4LKfDkuOuV5VsLJU6u1yxB9fZHQkAAAC4KShKuKJmDeppoUcjSdLJmRxVAgAAQN5AUcIVeTgdSmzwqlzGUulTixV/ZIvdkQAAAIBsR1HCVTW/6y4tdtaTJB3nqBIAAADyAIoSrsrLw6Houi9LkkqemKfEEztsTgQAAABkL4oSMqXF3c20xLpDDhkdncFRJQAAAORuFCVkio+nU2drvyRJCjv6h5JO7bU5EQAAAJB9KErItJbN79Vy1ZJTLh2dOcjuOAAAAEC2oSgh0/y9PXSi5guSpOIHp8l19qDNiQAAAIDsQVHCNWnR6j6tUjV5KFmHZw62Ow4AAACQLShKuCZBPp46dOtzkqRi+36ViThqcyIAAAAg61GUcM2at35Q60wleSpJR2Z9ZHccAAAAIMtRlHDN8vt7aU+lXpKkkN0TZKJO2pwIAAAAyFoUJVyXe9p00iZTXt5K0NE/htodBwAAAMhSFCVcl8JBPtpW/hlJUqGdP0nRZ2xOBAAAAGQdihKu293tumirKSMfE6ejcz6xOw4AAACQZShKuG5F8/lpU5knJUn5t46SYs/bGwgAAADIIhQl3JDG7bprlytMfiZGx+d/bnccAAAAIEtQlHBDwgoGaE1YT0lS0KbvpbhImxMBAAAAN46ihBvW4L4n9I+rqPxdUTq56Gu74wAAAAA3jKKEG1a2SLBWFOshSfJbP0JKiLY5EQAAAHBjKErIEnXue0oHXEUUmByh00u+sTsOAAAAcEMoSsgSlYoV0J9FukiSvFZ/JSXG2pwIAAAAuH4UJWSZ29r20hFTSEHJZ3V22Ui74wAAAADXjaKELFO1VGEtLPioJMmx8gspKd7mRAAAAMD1oSghS1Vr86xOmPzKlxiucyvH2B0HAAAAuC4UJWSp28oV1bx8j1z8YdkwKTnR3kAAAADAdaAoIcvd0vp5nTJByp9wXJFrxtkdBwAAALhmFCVkubq3lNCcwI6SpMQlH0uuZJsTAQAAANeGooQsZ1mWSrd6QedMgArGH1bU+kl2RwIAAACuCUUJ2aLhrWU0y7+DJCl+0RDJ5bI5EQAAAJB5FCVkC8uyVKzFS4o0fioUu1/Rm6faHQkAAADINIoSsk2T6uU1w6edJClmwYeSMTYnAgAAADKHooRs43BYKnhPb10wPiocvVux22baHQkAAADIFIoSslXz2pU1w7u1JClq7iCOKgEAACBHoCghWzkdlgKb9Fas8VJI1HbF75xndyQAAADgqihKyHYt61bTdM+WkqTzcz7gqBIAAADcHkUJ2c7T6ZBno5cVbzxVJGKzEvYusTsSAAAAcEUUJdwUbRrU1AznPZKks7M/sDkNAAAAcGUUJdwU3h5OuRq8pATjVOjZtUrav8LuSAAAAMBlUZRw09x3Vx3NdDSVJJ3+432b0wAAAACXR1HCTePj6VT8nS8qyTgUeuovJR9eZ3ckAAAAIEMUJdxU9zVpoD+sRpKk8FkcVQIAAIB7oijhpvL39lBE7ReVbCwVPbFYrmOb7Y4EAAAApENRwk3XvnljzbXqS+KoEgAAANwTRQk3XZCPp8JrPi9JCj06T+bkdpsTAQAAAGlRlGCL+5rfo7mmriQpfBZ/VwkAAADuhaIEWxTw99KRqs9Jkgod+kPm9B6bEwEAAAD/Q1GCbdq1aqlFrtpyyqXwPwbZHQcAAABIRVGCbUICfbS3ci9JUqF906Sz++0NBAAAAPw/ihJs1a51W/3pqn7xqNKcD+2OAwAAAEiiKMFmRYN9tb3CfyRJBXb/Jp0/bHMiAAAAgKIEN9C6dQetdFWRh5J0eu4Qu+MAAAAAFCXYr2RBP20s87QkKXjnBCnqhM2JAAAAkNdRlOAWWrbpqLWuW+RpEnVm3lC74wAAACCPoyjBLZQLCdSasCckSYFbf5IunLI5EQAAAPIyihLcRrO2nbXJVVZeJl7nFn5qdxwAAADkYRQluI1KRYO1vGgPSZLv5h+lmLM2JwIAAEBeRVGCW2nctpu2u0rJxxWr84s/tzsOAAAA8iiKEtxKtbB8WhTSTZLkvX6kFBdhcyIAAADkRRQluJ16bbtrt6u4fF0XFLn0a7vjAAAAIA+iKMHt1C5dSHMLdJEkeawZIcVH2ZwIAAAAeQ1FCW6pdusntM8VKr/kSF1Y/q3dcQAAAJDHUJTglupVCNEf+R69+MPKr6SEGHsDAQAAIE+hKMEtWZalqvc+qcOuwgpIOqfolSPtjgQAAIA8xK2LUlJSkt5++22VKVNGvr6+Klu2rAYOHCiXy2V3NNwEjSsV0++Bj0iSzPLPpcQ4mxMBAAAgr3DrovTRRx/pm2++0VdffaUdO3ZoyJAhGjp0qL788ku7o+EmsCxLt7R8RsdMAQUknlbs6lF2RwIAAEAe4dZFaeXKlWrfvr3atGmj0qVLq2PHjmrRooXWrVtndzTcJPdUDdNk34tHlbRkkBRz1t5AAAAAyBPcuig1bNhQCxcu1O7duyVJmzdv1vLly9W6devLLhMfH6/IyMg0N+RcDoelW1o/px2uMPkmRSrqj/52RwIAAEAe4NZF6fXXX1fnzp1VqVIleXp6qlatWurdu7c6d+582WUGDx6s4ODg1FtYWNhNTIzs0KJaCU0p8pIkyX/rTzLHNtqcCAAAALmdWxelSZMm6eeff9b48eO1YcMGjRkzRh9//LHGjBlz2WXefPNNRUREpN4OHz58ExMjO1iWpc4Pd9YMV305ZHT+t5clBvQAAABANrKMMcbuEJcTFhamN954Q88991zqtPfff18///yzdu7cmal1REZGKjg4WBEREQoKCsquqLgJvpm+TF3XPyh/K17x7b6Wd+0udkcCAABADnIt3cCtjyjFxMTI4Ugb0el0Mjx4HvV4q/oa43lxYIfEOe9IcRE2JwIAAEBu5dZFqV27dvrggw80a9YsHThwQFOnTtWwYcPUoUMHu6PBBr5eTlVs/5r+cRVVQOJZnZ/9nt2RAAAAkEu5dVH68ssv1bFjRz377LOqXLmy+vTpo2eeeUbvvccvyHlVs2phml70RUlS4OYfZE5utzkRAAAAciO3vkYpK3CNUu5z+GyMdn52n5o71upUoboq/NxcybLsjgUAAAA3l2uuUQIyElbAT8fqvq0446nCp1crZvNkuyMBAAAgl6EoIUfq1LKRJnp3lCQlznpTSoi2OREAAAByE4oSciRvD6cqdOirw67CCk4M16k/BtkdCQAAALkIRQk5VoPKYfqj+MWBHfJt+kau0//YnAgAAAC5BUUJOVr7R57SclNDnkrSiV962x0HAAAAuQRFCTlaaD5fHbtzgBKMU8XC/9SFLTPtjgQAAIBcgKKEHK9Diyaa4nO/JCl+5n+lxDh7AwEAACDHoyghx/N0OlTugQE6YfKrYMIxHZ8z1O5IAAAAyOEoSsgV7qhYUvNLPC9Jyr/+SyWfO2RzIgAAAORkFCXkGq0eeV7rVFk+iteRia/YHQcAAAA5GEUJuUbhIB8dqz9QScahUifn6/zWeXZHAgAAQA5FUUKu0uae5vrDt40kKW56Hyk50eZEAAAAyIkoSshVnA5LpR98X6dNkEITDurQ7E/tjgQAAIAciKKEXKd6hdJaEvasJKngumFKPH/M5kQAAADIaShKyJWadXpZf6u8/BWrAxP72B0HAAAAOQxFCblS/gAfnWjwnlzGUoUTs3Rm+1K7IwEAACAHoSgh12rW7F4t8G0pSYr5/RXJlWxzIgAAAOQUFCXkWg6HpZIPDVaE8VNY/F7tnf2V3ZEAAACQQ1CUkKtVKldWy0v2kiSFrB2i+MhwmxMBAAAgJ6AoIddr1Pm/2q3SCtIF7Rn/mt1xAAAAkANQlJDrBfn56mSj9yRJVY5P04kdf9mcCAAAAO6OooQ8oeHd7bTMt5kcllH0tFckl8vuSAAAAHBjFCXkCZZlqfhDQ3TB+Khc/A5tm/2t3ZEAAADgxihKyDPKli2v1aWekiQVXTtYsZFnbU4EAAAAd0VRQp5yZ6e3dMAqrgKK0PYJb9odBwAAAG6KooQ8xd/PT6caDpQk1Tj2i47sXGdzIgAAALgjihLynNvvflBrfRvJw3IpaurLMgzsAAAAgEtQlJDnWJal0Ic+UazxUuX4Ldo4Z5TdkQAAAOBmKErIk8LKVtTGUj0kSSXWvK8LUeftDQQAAAC3QlFCnnVb5/46ahVRiM5qy/h37I4DAAAAN0JRQp7l4+uvMw3flSTdfmyc9u3cbHMiAAAAuAuKEvK06nd30t9+deVlJSti6isM7AAAAABJFCXkdZalwg99qgTjoVrx67Rqzs92JwIAAIAboCghzwstc6v+LtVVkhS25j1FREbanAgAAAB2oygBkqp1ek/hVkGVULjWjx9gdxwAAADYjKIESPLyC9S5hv0lSfWPj9WunVttTgQAAAA7UZSA/1fx7m7a7VdLPlaizk75r1wuY3ckAAAA2ISiBKSwLBXs+JmSjEP1Ev7S0tmT7E4EAAAAm1CUgH8pWLamdpbsLEkqvfZdnY28YHMiAAAA2IGiBFyiUqcPdM7KpzI6ppXj3rc7DgAAAGxAUQIu4eGfX+cbvC1JanxilLZs32FzIgAAANxsFCUgA2XufkIHfG9VgBWnM9NeV1Kyy+5IAAAAuIkoSkBGHA7l6/i5XLLUNGGp5s2eYnciAAAA3EQUJeAy8pW7Q/+EdZQklVs7UOHnGdgBAAAgr6AoAVdQ9pGPFGkFqqJ1UH9O+MjuOAAAALhJKErAFTgDCiqy/huSpOYnRmrt1l02JwIAAMDNQFECrqJEs1465nuLgq0Ynfq9rxKSGNgBAAAgt6MoAVfjcCrogc8kSa0SFmjm7Bn25gEAAEC2oygBmRBQoYEOlLhPDsuo/Lp3dexctN2RAAAAkI0oSkAmlXpkqGIsX1W3/tHCCcPsjgMAAIBsRFECMskKDFXUnf+VJLU++a2W/73H5kQAAADILhQl4BoUuedFnfIpo4JWlMJ/76e4xGS7IwEAACAbUJSAa+H0VECHi6fdtU+crcl/zLU5EAAAALIDRQm4Rr4V79ax4q3ktIxu2fCuDp6+YHckAAAAZDGKEnAdij40VHGWt+6wdmrOxK9kjLE7EgAAALIQRQm4Dla+koqu01uSdP+pEVq4+R97AwEAACBLUZSA61Sw+as651NCRazzOjnjPcUkJNkdCQAAAFmEogRcLw9v+d33sSTpoaQZGj9rgc2BAAAAkFUoSsAN8K5yr04VbSovK1mVNr6vvSej7I4EAACALEBRAm5QoY7DlChPNXT8remTvmNgBwAAgFyAogTcIKtgWcXc8Zwk6eEzw/XHhn02JwIAAMCNoigBWSC4+euK9A5VCeu0js36UFFxiXZHAgAAwA2gKAFZwctPPm0GS5K6JU/VqJlL7M0DAACAG0JRArKIV7UOOlekvrytRFXe8qF2HI+0OxIAAACuE0UJyCqWpfwPfqpkOdXcsU5TJo2Sy8XADgAAADkRRQnISiGVFFv7KUlS57PDNXUtAzsAAADkRBQlIIsFNO+raK9CKus4oSNzPtH5mAS7IwEAAOAaUZSArOYTJO9735MkPen6Td/OWGZzIAAAAFwrihKQDTxqdlZk4dryt+JVeetQbT583u5IAAAAuAYUJSA7WJaCHvhMLjl0n3OlJv06XskM7AAAAJBjUJSA7FK0uuJqPC5J6nZ+uCasYmAHAACAnIKiBGQjv5b9FOeZT5Uch3Vk3hc6fSHe7kgAAADIBIoSkJ38CsirxQBJ0rNmkr6a8Ze9eQAAAJApFCUgmzlqd1N0wWoKsmJVZdunWnvgrN2RAAAAcBUUJSC7OZzyv/9TSdLDHks17rfflJTssjkUAAAAroSiBNwMYXcovmpnSVLPyOEas+IfmwMBAADgSihKwE3i3WqgEjwCVd2xX4cWfKcTEXF2RwIAAMBlUJSAmyUgRB7N3pIkvWSN17Dpq2wOBAAAgMuhKAE3kaPO04rLX1EFrAuquusrrdh72u5IAAAAyABFCbiZnB7yue8TSdJjzgUaM2W64pOSbQ4FAACAS1GUgJutTCMlVu4gp2X01IURGvnnPrsTAQAA4BIUJcAGnq0+UJLTV3c4duvAklE6fDbG7kgAAAD4F4oSYIfg4nI2eU2S9F9rnIZMX2tzIAAAAPwbRQmwiVXvOSUEl1GIdV7V9n6rRTtP2h0JAAAA/4+iBNjFw1tebT+WJPVwztGoaXMUl8jADgAAAO6AogTYqcI9SqpwrzytZD0T/a2GL9pjdyIAAACIogTYzqP1h0p2eKmhc5v2LZuo/aej7Y4EAACQ51GUALvlLy1Hw96SpDedY/XBtPUyxtibCQAAII+jKAFuwGr4shIDS6i4dUbVD/ygOVtP2B0JAAAgT6MoAe7Ay0+erT+UJD3jnKkfpi9UdHySzaEAAADyLooS4C4qtVVy2abytpL0n7iR+mIhAzsAAADYhaIEuAvLkrP1ULkcnrrHuVH/rJis3Sej7E4FAACQJ1GUAHdSqIIcd/aSJL3tHKuBUzcwsAMAAIANKEqAu2n8mpL9i6i046SqH/5Z0zYdtTsRAABAnkNRAtyNd6CcLT+QJL3gMU0jZy5TRGyizaEAAADyFooS4I6qdZQrrJ58rQT1ShilT+fvtjsRAABAnkJRAtyRZcnR5mMZy6G2ztXas2qWth6NsDsVAABAnkFRAtxVaFVZdzwpServMVr9p26Sy8XADgAAADcDRQlwZ03fksu3oG5xHFXN47/ol3WH7U4EAACQJ1CUAHfmm1+O5gMkSb09Jmvk7JU6F51gbyYAAIA8gKIEuLuaXWSK3aZAK1a9kn7SkLk77U4EAACQ61GUAHfncMhq87GMLD3oXKZdaxdqw6FzdqcCAADI1ShKQE5QvLasWl0kSQM9R6v/1M1KZmAHAACAbENRAnKKewbI5R2sqo4Dqh7+u35eddDuRAAAALkWRQnIKfwLyXH325KkPh6/6Pt56xQeFWdzKAAAgNyJogTkJLf3lClyq/JbF9QrabwG/8HADgAAANmBogTkJE4PWa0/liR1di7S7k3LtWrfGZtDAQAA5D4UJSCnKVVfqvaQHJbRQM/R6jd1ixKTXXanAgAAyFUoSkBO1Pw9GU9/1XbsUbUzc/Tj8v12JwIAAMhVKEpAThRUVFaT1yVJb3iO1w8LN+t4RKy9mQAAAHIRihKQU9XtJVOwggpbkXra9Yvem7nd7kQAAAC5BkUJyKk8vGTd+5EkqbtzrvZsXaelu0/ZHAoAACB3oCgBOVn5ZlKltvKwXHrXY7T6T/tbcYnJdqcCAADI8ShKQE7XcpCMh4/qO7fr1vOL9d2f++xOBAAAkONRlICcLn8pWQ1fkST19fxZPy7eqsNnY2wOBQAAkLNRlIDcoMGLMvlKqZh1Vk9qqvpP3yZjjN2pAAAAciyKEpAbePrKavWhJOlp5yzt27VZ87eftDkUAABAzkVRAnKLivdK5e+Rl5Wk/h5j9e70bYpNYGAHAACA60FRAnILy5JafSTj8FRT52ZVilqhrxbvsTsVAABAjkRRAnKTQuVl1X9ektTP4yeN/nOn/jl1weZQAAAAOQ9FCchtGvWRCSymUo5w9dBMvTXlbyW7GNgBAADgWlCUgNzGO0BWy/clSc95/K4j+3fpi4WcggcAAHAtKEpAbnTrA1LpRvK1EjTAc6y+WLRby/acsjsVAABAjkFRAnIjy5LuHSI5PNXcuV5dHPPVe+ImnYiIszsZAABAjkBRAnKrIlWk5gMlSf08f1ZozC69MGGDkpJdNgcDAABwfxQlIDe7s5dUsY08laQRXl9ox4Gj+njebrtTAQAAuD2KEpCbWZbU/ispOEwlrZMa7DlS3yzdq4U7TtqdDAAAwK1RlIDczq+A1HGU5PBQO+cqPeZcqFd+2awj52LsTgYAAOC2KEpAXhB2h3TPAElSf8+fVDxuj54bv1EJSVyvBAAAkBGKEpBX1HteuqWVvJSoEd5fau/h4/pw9k67UwEAALglihKQV1iWdP8IKaiESum4PvD8QT+u2Kc5W4/bnQwAAMDtUJSAvMSvgNTxR8ly6n7nX3rEuUT//XWLDp6JtjsZAACAW6EoAXlNybpSs36SpPc8x6h4wj49O26D4hKTbQ4GAADgPihKQF5U/0WpfHN5KUEjvL/Q/mPhem/mdrtTAQAAuA2KEpAXORxSh2+lwGIqo2N63/NHjVt9UL9vOmp3MgAAALdAUQLyKv+CUscfJMupB5zL9ZBzqd6c8rf2hl+wOxkAAIDtKEpAXlaqvnR3X0nS+15jVDzxoJ4dt16xCVyvBAAA8jaKEpDXNXhZKtdM3iZe33p/ocMnT+ud37fanQoAAMBWFCUgr0u5XikgVGV1RO95jtZv64/ol3WH7U4GAABgG4oSACmg8P9fr+RQR+efesDxp/r9vlU7T0TanQwAAMAWFCUAF5VuKDV5U5I02Hu0iicd1rPjNuhCfJLNwQAAAG4+ihKA/2n0qlS2ibxNnL7z+ULHTp3Vm1P+ljHG7mQAAAA3FUUJwP84nNID30sBRVTOHNZAz7GasfmYxq0+ZHcyAACAm4qiBCCtgJCLZUmWHnYuVnvHcg2csV1bj0bYnQwAAOCmoSgBSK9sY6nx65Kkj7x/VAnXET07boMiYhNtDgYAAHBzUJQAZKzxa1LpRvIxcfrO50udPHter/22meuVAABAnkBRApAxh1N68AfJv7DKm4N61/Mnzd12Uj+uOGB3MgAAgGxHUQJweYFFUq9X6uRcqHaOvzT4jx3acOic3ckAAACyFUUJwJWVayrd1UeSNNT7B5Uwx/TC+I06F51gczAAAIDsQ1ECcHWN35BKNZSPidVI3690+nyEXvllk1wurlcCAAC5k9sXpaNHj6pLly4qWLCg/Pz8VLNmTa1fv97uWEDe4vSQHhwp+RVSedd+9fcap8W7TunbP/fZnQwAACBbuHVROnfunBo0aCBPT0/Nnj1b27dv1yeffKJ8+fLZHQ3Ie4KKSg98K0l61DFfbRyr9PG8XVq974zNwQAAALKeZdx4rN833nhDK1as0LJly657HZGRkQoODlZERISCgoKyMB2QRy14V1o+THEOP7WI/UBxASX1x0uNVCjA2+5kAAAAV3Qt3cCtjyhNnz5dt99+ux566CGFhISoVq1a+v7776+4THx8vCIjI9PcAGShpn2lkvXk44rRSN+vdD7qgnpP3KRkrlcCAAC5iFsXpX379mnEiBGqUKGC5s6dq//85z968cUXNXbs2MsuM3jwYAUHB6fewsLCbmJiIA9welz8+0q+BXSL6x/18xqv5XtP68tFe+xOBgAAkGXc+tQ7Ly8v3X777frrr79Sp7344otau3atVq5cmeEy8fHxio+PT/05MjJSYWFhnHoHZLU986VxHSVJ/0norbmmjn7qWVcNKxSyORgAAEDGcs2pd0WLFlWVKlXSTKtcubIOHTp02WW8vb0VFBSU5gYgG1RoLjV4SZL0qc9IldBJvTRxo05GxtkcDAAA4Ma5dVFq0KCBdu3alWba7t27VapUKZsSAUjj7neksLrydV3QSL/hioyO0QsTNiop2WV3MgAAgBvi1kXp5Zdf1qpVqzRo0CDt3btX48eP13fffafnnnvO7mgAJMnp+f/XK+VXxeQ96uc9UWv2n9Ww+bvtTgYAAHBD3Loo3XHHHZo6daomTJigqlWr6r333tNnn32mxx57zO5oAFLkC5Pu/0aS1NX6Qy0cazV8yT9avDPc5mAAAADXz60Hc8gK/B0l4CaZ21da+ZVinYFqHvO+LvgW06wXG6l4Pl+7kwEAAEjKRYM5AMhB7hkgFb9dvslR+sF/uKJjYvX8+A1KSOJ6JQAAkPNQlABkDaen1PFHySdYFZN26W2fX7Tx0Hl9NGen3ckAAACuGUUJQNbJX0q6f4Qk6XHNVDPHev2wfL/mbD1hczAAAIBrQ1ECkLUqtZHufFaS9JXv9yqm0/rvb5t18Ey0zcEAAAAyj6IEIOvd865U7Db5Jkfqx8ARio2L03PjNyguMdnuZAAAAJlCUQKQ9Ty8pIdGSd7BqpS4Q319Jmvr0Uh9MGuH3ckAAAAyhaIEIHvkLy21/0qS1EO/627nRv206qCmbz5mby4AAIBMoCgByD5V7pPqPCNJ+tr3O4XqjN6cvEX/nLpgczAAAIAroygByF4t3pOK1pRvUoRGB32juIQEPTdug2ITuF4JAAC4L49rXSAiIkJTp07VsmXLdODAAcXExKhw4cKqVauWWrZsqfr162dHTgA5lYf3xeuVvm2sSvHb1Nd3qgae6Kj+07dqSMcadqcDAADIUKaPKB0/flxPPfWUihYtqoEDByo6Olo1a9ZUs2bNVKJECS1evFjNmzdXlSpVNGnSpOzMDCCnKVBWuu8LSVJPM0WNHZv1y7oj+nXdYZuDAQAAZCzTR5Rq1Kihbt26ac2aNapatWqG88TGxmratGkaNmyYDh8+rD59+mRZUAA53K0dpAPLpbUj9Y3ft2py4X298/tWVS+RTxVDA+1OBwAAkIZljDGZmfHUqVMqXLhwpld8rfNnl8jISAUHBysiIkJBQUF2xwHytsQ46Yd7pBN/a6d3NbWJeE2lCgdpxvMN5e99zWcCAwAAXJNr6QaZPvUus6UnpXe5Q0kC4GY8faSHxkheAaoU/7f6+v2ufaei9dbUv5XJ/7MBAAC4Ka5r1LuuXbvqwoX0w/seOHBAd9111w2HApCLFSwntftcktTDNVl3Of/W75uOacIarlcCAADu47qK0vbt21WtWjWtWLEiddqYMWNUo0YNFSlSJMvCAcilqnWUaveQJaNv/b5RYZ3TgBnbtPVohN3JAAAAJF1nUVq9erUeeeQR3X333Xrrrbf00EMP6fnnn9enn36q3377LaszAsiNWg2WilSVb+I5jc33vZKSkvTc+A2KjEu0OxkAAEDmB3PISP/+/fXee+/Jw8NDS5cuVb169bIyW5ZgMAfAjZ3eI33bWEqM1o8ej2jghfa6t2qohj92myzLsjsdAADIZbJlMId/S0xM1KuvvqqPPvpIb775purVq6cOHTrojz/+uK7AAPKoQhWkdp9Jknok/aJGHts0e+sJjf7rgK2xAAAArqso3X777Zo+fbqWLFmiDz74QEuWLNHLL7+sBx54QM8++2xWZwSQm1V/WLqtmywZfef3jQrrvAb9sUMbD52zOxkAAMjDrrsobdq0SXfeeackybIsvf7661q1apX+/PPPLA0IIA9o9ZEUUkW+CWf0U/6RSk5O1vPjN+p8TILdyQAAQB51Q9coZSQ+Pl7e3t5ZucobwjVKQA5xapf0XRMpMUY/eHbWe1Ht1KxSiL7vdrscDq5XAgAANy5brlGKjo7O1HwpJSmz8wOAJKlwRanNMElSz6RJauCxUwt3huu7ZftsDgYAAPKiTBel8uXLa9CgQTp27Nhl5zHGaP78+br33nv1xRdfZElAAHlIzc5SzS6yjEvf+49QQUVo6NxdWnvgrN3JAABAHpPpU+927dqlt99+W9OnT1fNmjV1++23q1ixYvLx8dG5c+e0fft2rVy5Up6ennrzzTf19NNPy+l0Znf+q+LUOyCHSYiWvr9bOrVTO/3v0L1nXlJIkK/+eLGRCga4z2m9AAAg57mWbnDN1ygdOXJEv/zyi5YtW6YDBw4oNjZWhQoVUq1atdSyZUu1bt1aDsd1jRGRLShKQA4UvkP6rqmUFKsfvLvovYjWalShkEb3qCMn1ysBAIDrlK1FKaehKAE51Mafpd+fk7Ec6prUT8sTb9ErzW/Ri80q2J0MAADkUNfSDTyu5wFeeeWVDKdbliUfHx+VL19e7du3V4ECBa5n9QAg1XxM2r9M1paJ+t5/hBqcf1efLtit2qXyq0H5QnanAwAAudx1HVFq2rSpNmzYoOTkZFWsWFHGGO3Zs0dOp1OVKlXSrl27ZFmWli9fripVqmRH7kzjiBKQg8VfkL5vKp3erV0BddXq9AsqGOCjP15spJAgH7vTAQCAHCZbhgf/t/bt2+uee+7RsWPHtH79em3YsEFHjx5V8+bN1blzZx09elR33XWXXn755et6AgAgSfIOkB4aLXn4qOKF1Xo733ydvpCgFyZsVFKyy+50AAAgF7uuI0rFixfX/Pnz0x0t2rZtm1q0aKGjR49qw4YNatGihU6fPp1lYa8HR5SAXGD9GGnGizKWU12T+2l5QgU917Sc/tuykt3JAABADpLtR5QiIiIUHh6ebvqpU6cUGRkpScqXL58SEhKuZ/UAkNZt3aRqD8kyyfref4TyKUpfL/5Hi3el3w8BAABkhes+9a5nz56aOnWqjhw5oqNHj2rq1Kl64okndP/990uS1qxZo1tuuSUrswLIqyxLavupVLC8fGNPaFLIGFly6ZVJm3TsfKzd6QAAQC50XUXp22+/VbNmzdSpUyeVKlVKJUuWVKdOndSsWTN98803kqRKlSpp5MiRWRoWQB7mHXjxeiWntypG/qV3CizSuZhEPT9+gxK5XgkAAGSxG/o7ShcuXNC+fftkjFG5cuUUEBCQldmyBNcoAbnMuh+lmS/LODzUxTVAK+LK6qlGZdS3jb0jbAIAAPeX7dcopQgICFD16tVVo0YNtyxJAHKh2j2kWx+Q5UrSSL/hCtYFfb9sv+ZtO2F3MgAAkIvcUFECgJvOsqR2n0sFyso35ph+Df1JktGrv27WoTMxdqcDAAC5BEUJQM7jE/T/1yt56Zbzy9Sv0BJFxSXpufEbFJ+UbHc6AACQC1CUAORMRWtILQdJknrEjFZD3wP6+2iEPpi1w+ZgAAAgN6AoAci57nhSqtJelitR3/sNV5CiNXblQc3YfMzuZAAAIIejKAHIuSxLuu9LKX9p+UYf0W/FxkkyemPyFu07dcHudAAAIAejKAHI2XyC/3e90tkl6h+yTNEJyXp23AbFJXK9EgAAuD4UJQA5X7FaUov3JUndL/ygRv6HtPNElAZM32ZzMAAAkFNRlADkDnWeliq3u3i9ku9wBVkxmrj2sCavP2J3MgAAkANRlADkDpYl3feVlK+kfC4c0uTiEyQZvT1tq3afjLI7HQAAyGEoSgByD998UsfRksNTFU4v1IDQlYpNvHi9UnR8kt3pAABADkJRApC7lKgtNR8oSXo86js1DjiqveEX1Hfq3zLG2BwOAADkFBQlALnPnb2kim1kJSfoW9+vFOyI1bRNxzRx7WG7kwEAgByCogQg97Esqf1XUnCYfKIOanKJSZKM+k/fpm3HIuxOBwAAcgCKEoDcya+A1HGU5PBQ+fB5Glh8rRKSXHpu3AZFxiXanQ4AALg5ihKA3CvsDumeAZKkrudHqEnQCR04E6M3Jm/heiUAAHBFFCUAuVu956VbWslKjtc3Pl8qnzNOf/x9QmNXHrQ7GQAAcGMUJQC5m2VJ94+QgkrIJ3K/Jof9Ksno/VnbtfnwebvTAQAAN0VRApD7+RWQOv4oWU6VOzFb74dtUGKy0bPjNigihuuVAABAehQlAHlDybpSs36SpMfOfa2m+cN19HysXv11E9crAQCAdChKAPKO+i9K5ZvLSorTN15fKp9HghbsCNf3y/bZnQwAALgZihKAvMPhkDp8KwUWk3fEP5pacrIko4/m7NK6A2ftTgcAANwIRQlA3uJfUOr4g2Q5VebYDA0qvUXJLqPnx2/UmQvxdqcDAABugqIEIO8pVV+6u68kqfPpL3R3gTM6ERmn3pM2yeXieiUAAEBRApBXNXhZKtdMVlKsRnh/ofyeCVq257S+XrzX7mQAAMANUJQA5E0p1ysFhMr73B5NLT1NkvTpgt3665/T9mYDAAC2oygByLsCCv//9UoOlT48TR+W2yqXkV6csEnhUXF2pwMAADaiKAHI20o3lJq8KUl6JPwzNS98XqcvxOvFCRuVkOSyORwAALALRQkAGr0qlW0iKzFGX3l+oYJeSVq176xe+WWTkhncAQCAPImiBAAOp/TA91JAEXmf3amZ5WfI02lp5pbjemvK3zKGsgQAQF5DUQIASQoIuViWZKnovl/1W/0jcljSpHWH9d7MHZQlAADyGIoSAKQo21hq/LokqcamARrZzJIk/bhivz5dsMfOZAAA4CajKAHAvzV+TSp3t5QYrbvX/UdfNPWQJH2xcI+++/Mfm8MBAICbhaIEAP/mcEoP/ySF1ZXiInTf5mc1qKGXJGnQHzs1fvUhmwMCAICbgaIEAJfyDpAe+1UqWkOKOa1Hd72gN+70kST1nfa3ft901OaAAAAgu1GUACAjPsFSl6lS4cpS1HE9c6C3nq/tI2OkV37ZrHnbTtidEAAAZCOKEgBcjn9BqdvvUoGyss4f0qsnXlO36r5Kdhk9P36jlu85bXdCAACQTShKAHAlgUWkbtOl4DBZZ/bq3fN99WAlXyUku/TU2HVaf/Cs3QkBAEA2oCgBwNXkC7t4ZCkgVFb4dg2NH6gW5f0Um5is7qPWauvRCLsTAgCALEZRAoDMKFjuYlnyKyjH8Y0aoQ/VqKSfouKS1O3HNdobHmV3QgAAkIUoSgCQWSGVpK5TJe9gOY+s0ii/z3RbMV+djU5Ql5FrdPhsjN0JAQBAFqEoAcC1KFpD6vKb5OkvjwNLNDH/N6pU2EcnIuP02MjVOhkZZ3dCAACQBShKAHCtwupIj06SPHzk9c9cTSs2RmUKeOvQ2Rh1GblaZ6MT7E4IAABuEEUJAK5HmUbSIz9LDk/57PpdM0r/qqKBXtoTfkGP/7hGkXGJdicEAAA3gKIEANerQnOp44+S5VTA9omaXXGmCvp56u+jEXpi9FrFJCTZnRAAAFwnihIA3Igq90n3j5BkKd/W0ZpbbaECfZxae+CcnvlpveKTku1OCAAArgNFCQBuVI1HpLafSpIKbf5Gc2qtlp+XU8v2nNaLEzYqKdllc0AAAHCtKEoAkBVu7yG1HCRJKr5xmGbdvlleTofmbjup137bIpfL2BwQAABcC4oSAGSVes9JTd+WJJXZMEjT7twtp8PSlI1H1X/6NhlDWQIAIKegKAFAVrqrj9SgtySpyvr++uXOg7Is6adVBzVk7i57swEAgEyjKAFAVrIs6Z4BUp2nJRnV3viWxt55QpI0Ysk/+nrxXlvjAQCAzKEoAUBWsyyp1UdSzS6ScanR5tf1Td3TkqShc3dp9Ir9NgcEAABXQ1ECgOzgcEj3fSFVfVByJarVttc0tHaEJGnAjO36dd1hmwMCAIAroSgBQHZxOKUO30oVW0tJceq4u4/61bwgSXp98hb98fdxmwMCAIDLoSgBQHZyekodR0llm8pKjFaP/X30StUYuYz00sSNWrwr3O6EAAAgAxQlAMhunj5Sp/FSyfqy4iP1wtHX9GTFOCUmG/3np/Vate+M3QkBAMAlKEoAcDN4+UmPTpKK3SYr9qz6nnlLncslKj7JpSfHrNPmw+ftTggAAP6FogQAN4tPkNRlshRyq6wLJzQoqq/alUrWhfgkPT5qjXadiLI7IQAA+H8UJQC4mfwKSN2mSQUryIo8os8T+uvu4i6dj0lUlx9W68DpaLsTAgAAUZQA4OYLCJG6/S7lKynHuX363npfdUJcOhUVr8dGrtax87F2JwQAIM+jKAGAHYKLS92mS4HF5Dy9U+N8hqhaQaOj52PVZeRqnYqKtzshAAB5GkUJAOxSoMzFI0t+heQZvkWTgz5V+WBp3+lodf1htSJiEu1OCABAnkVRAgA7Fb7l4jVLPvnkdXydZhT6WiUCpJ0novT4qDW6EJ9kd0IAAPIkihIA2C20mtRliuQVIN+jKzSn2EgV8pU2HT6vp8asU1xist0JAQDIcyhKAOAOStSWHv1F8vBVwKFFWlDqZwV7W1q574yeG7dBickuuxMCAJCnUJQAwF2UbiB1+llyeinfgT+0oNwv8vGQFu4M1yu/bFayy9idEACAPIOiBADupPw90kOjJcupwvumamGlGfJ0SjM2H1PfqX/LGMoSAAA3A0UJANxNpTbSA99JslR87wTNrTJfDsto4trDem/mDsoSAAA3AUUJANxRtY7SfV9IksruGaUZVZdLkn5csV+fLdhjZzIAAPIEihIAuKvbukmtPpIk3bpnhH6ttkaS9PnCPfr+z312JgMAINejKAGAO7vzP1KzfpKkO/Z8pjFVN0uSPvhjh8avPmRnMgAAcjWKEgC4u0avSo36SJIa7/1IX1fZIUnqO+1v/b7pqJ3JAADItShKAJAT3P22VLeXJKn1/g/0UcW9MkZ65ZfNmr/9pM3hAADIfShKAJATWJbUarB0WzdZxqWHDw/U2+UPKNll9Nz4DVqx97TdCQEAyFUoSgCQU1iW1PYzqdpDslxJeuL4u3qpzBElJLn05Jh1Wn/wrN0JAQDINShKAJCTOJzS/d9IldrKSo5X79MD9ETJE4pNTFb3UWu17ViE3QkBAMgVKEoAkNM4PaSOP0rl75GVGKO3I/rrkeKnFBWXpG4/rNHe8At2JwQAIMejKAFATuThLT38k1Sqoaz4KA2OHqA2Rc7qTHSCuoxcrcNnY+xOCABAjkZRAoCcystPenSiVPx2OeLO6cvEd9WkYIRORMbpsZGrdTIyzu6EAADkWBQlAMjJvAOlLr9JodXkiDmlH6z3VCdflA6djVGXkat1NjrB7oQAAORIFCUAyOl880tdp0mFKsp54ZjGew1StcBo7Qm/oMd/XKPIuES7EwIAkONQlAAgN/AvJHWbJuUvLY/Ig5rs/5HK+sXq76MRemL0WsUmJNudEACAHIWiBAC5RVAxqdt0Kai4vM7v1ax8n6i4T5zWHjinp39ap/gkyhIAAJlFUQKA3CR/qYtlyT9Evme3a27hL1TQM0HL9pzWSxM2KSnZZXdCAAByBIoSAOQ2hcpfPA3PN78CTm3SoqIjFORM1JxtJ/Ta5C1yuYzdCQEAcHsUJQDIjYrcKnWZInkHKTh8tRaFjZSvI0lTNhzVgBnbZAxlCQCAK6EoAUBuVfw26dFfJE8/FTqxTAtLjZWHlayxKw9q6NxddqcDAMCtUZQAIDcrVU/qNF5yeqvY8QVaUHqCHHJp+JJ/9PXivXanAwDAbVGUACC3K9dUeniM5PBQ6eN/aFbZKZKMhs7dpTF/HbA7HQAAbomiBAB5QcV7pQe+lyyHKh+boillZkgy6j99m35bf8TudAAAuB2KEgDkFVUfkO77SpJ02/GJ+qn0fEnSa79t1uy/j9uZDAAAt0NRAoC8pNZjUuuPJUmNTozWiFJL5DLSixM3asmucJvDAQDgPihKAJDX1HlKaj5QknTvye80NOwvJSYb/efn9Vq974zN4QAAcA8UJQDIixq8JDV+XZL00Kmv1L/4esUluvTEmHXacuS8vdkAAHADFCUAyKuavCnVe16S1P3MML0aukUX4pPU7cc12nUiyuZwAADYi6IEAHmVZUkt3pdu7ylLRs9HDNUzIdt1PiZRXX5YrQOno+1OCACAbShKAJCXWZbU+hOpeidZJllvRA/RYwX36FRUvB4buVrHzsfanRAAAFtQlAAgr3M4pPZfS1Xay0pO0PvxH6p9/gM6ej5WXUau1ukL8XYnBADgpqMoAQAkp4f0wEipQgtZSbH6NOkD3RN0WPtOR6vrD2sUEZNod0IAAG4qihIA4CIPL+nhsVKZu+RIjNa31iDV8z+uHccj1X30GkXHJ9mdEACAm4aiBAD4H09fqdMEqUQdOeMj9JPnINX0DdfGQ+f11Nh1iktMtjshAAA3BUUJAJCWd4D02K9S0RryiDujX30Hq6LXaf31zxk9P36DEpNddicEACDbUZQAAOn55pO6TJUKV5JnzEn9HjREJT3OacGOcL3yy2Ylu4zdCQEAyFYUJQBAxvwLSt1+lwqUlc+FI5qT/2OFOiM0Y/Mx9Z36t4yhLAEAci+KEgDg8gJDpW7TpeAw+UXt17yCnyq/dUET1x7W+7N2UJYAALkWRQkAcGX5wi4eWQoooqDI3VoQ8oUCFKMflu/X5wv32J0OAIBsQVECAFxdwXIXy5JvARWM2KqFoV/LV3H6bMEejVy2z+50AABkOYoSACBzQipLXadK3sEqcn6j5hb9Vt5K0PuzdmjCmkN2pwMAIEtRlAAAmVesptTlN8nTXyXPrdbM0B/koSS9NfVvTd98zO50AABkGYoSAODahNWRHp0oefiowvllmhI6RpZx6ZVJm7Rg+0m70wEAkCUoSgCAa1fmLunhnySHp6qfX6gJRcYp2ZWsZ8dv0LxtJ+xOBwDADaMoAQCuzy0tpI4/SJZDdSNm68eQ35SQlKxnfl6v7//cx9DhAIAcjaIEALh+VdpL94+QZKlp5DSNLfmHjDH64I8demvq30pMdtmdEACA60JRAgDcmBqdpLbDJEl3hY/T7ArT5WUlacKaw3r8xzWKiEm0OSAAANeOogQAuHG395RafShJqnx4klaVHKFiXrH6658z6jBihQ6cjrY5IAAA14aiBADIGnf2kh4ZJ3n6q8DJlVqS7z3VDzqtfaeidf/wFVq974zdCQEAyLQcVZQGDx4sy7LUu3dvu6MAADJSua30xDwpuKS8Ig/oZ/VVz5A9Oh+TqC4/rNZv64/YnRAAgEzJMUVp7dq1+u6771S9enW7owAAriS0qvT0YqlkfTkSovRO5AANK/GnEpNd6vPrZg2Zs1MuFyPiAQDcW44oShcuXNBjjz2m77//Xvnz57c7DgDgavwLSd1+l27rJktGD5z+RjPDxstLiRq+5B89N36DYhOS7U4JAMBl5Yii9Nxzz6lNmza65557rjpvfHy8IiMj09wAADbw8JLafSHdO0SynKp6apZWFv1UxZyRmr31hB75bqXCI+PsTgkAQIbcvihNnDhRGzZs0ODBgzM1/+DBgxUcHJx6CwsLy+aEAIDLsiyp7jNSl98kn2AVPLdJS4LfVT2/I9pyJELtv16hbcci7E4JAEA6bl2UDh8+rJdeekk///yzfHx8MrXMm2++qYiIiNTb4cOHszklAOCqyt0tPblIKlhBXjHHNc7RTz3ybdLxiDg99M1KLdh+0u6EAACkYRlj3PaK2mnTpqlDhw5yOp2p05KTk2VZlhwOh+Lj49Pcl5HIyEgFBwcrIiJCQUFB2R0ZAHAlseelyU9IexdIkqYEddGr4a0ky6G+rSvriYZlZFmWvRkBALnWtXQDty5KUVFROnjwYJppPXr0UKVKlfT666+ratWqV10HRQkA3IwrWZrfT1r5lSRpa3ATPXSym2Llo851Smpg+1vl6XTrEx4AADnUtXQDj5uU6boEBgamK0P+/v4qWLBgpkoSAMANOZxSyw+kkMrSjN6qGrFEywsd131nntOENdKhs9Ea/mhtBft52p0UAJCH8V92AAB71OoidZ8p+RdWwQu7tDjoXTX02qMVe8+ow4gVOngm2u6EAIA8zK1PvcsKnHoHAG7u/GFpQmfp5N8yDk8Ncjyt7y80UH4/T33b9XbVKVPA7oQAgFziWroBR5QAAPbKFyY9MVeqfJ8sV6L6Jn2tz/P9osiYOD02cpUmrz9id0IAQB5EUQIA2M/LX3pojNT4DUlS+7hpml7gC/kmX9Crv27W0Lk75XLl6hMgAABuhqIEAHAPDofU9E3podGSh69ujVmrxfneV2nruL5e/I+en7BBsQnJdqcEAOQRFCUAgHu5tYPUc44UVFwF4w5qXsC7auLxt/74+4Q6fbdS4ZFxdicEAOQBFCUAgPspVlN6arFUoo68EiM1ynOInvWdr81Hzuv+r1do+7FIuxMCAHI5ihIAwD0FFrk4fHiNR2WZZL1mRumrwDE6FXFBD33zlxbuOGl3QgBALkZRAgC4Lw9v6f7hUov3JVlqmzhPM4KGyDvhnJ4cu04jl+1TLv8rFwAAm1CUAADuzbKk+i9Ij/4ieQepUsJWLQwcoIo6pPdn7VDfaVuVmOyyOyUAIJehKAEAcoZbWkhPLpDyl1H+xBOa4feuWjjXafzqQ+oxaq0iYhPtTggAyEUoSgCAnKNwRempRVKZxvJMjtV3nsP0stfvWr73lB4YvkIHz0TbnRAAkEtQlAAAOYtfAanLZKnO05KklxyT9J3fCB05dU73f71Caw+ctTkgACA3oCgBAHIep6fUeqjU9lPJ4aEWruWaGfCBvGJO6rHvV2vKhiN2JwQA5HAUJQBAznV7T6nrNMm3gCok7dFc//6q7NqtV37ZrI/n7pLLxYh4AIDrQ1ECAORsZRpdvG4ppIryJZ/RZJ/31d6xXF8t3qsXJmxUXGKy3QkBADkQRQkAkPMVKCM9MU+65V55mAR97jVcb3hO1B9/H9Uj361SeFSc3QkBADkMRQkAkDt4B0qdxksNX5Ek/cc5XaN8PtU/h4/p/q9WaMfxSJsDAgByEooSACD3cDike/pLD3wvOb3VROs1w2+gnJEH1XHEX1q086TdCQEAOQRFCQCQ+1R/WOoxWwoIVRnXIf3h21/Vkv7Wk2PW6cfl+2UMgzwAAK6MogQAyJ1K1JaeXiwVq6VAV6TGeQ1WZ8cCDZy5XW9P26rEZJfdCQEAboyiBADIvYKKXTyyVLWjnErWB54/6j3PUZq0ep96jl6riNhEuxMCANwURQkAkLt5+koPjpSa9ZMkdXXO18/eQ7RlzwE9OOIvHToTY3NAAIA7oigBAHI/y5IavXpxVDxPf91pbdVMn37SqZ26f/gKrTtw1u6EAAA3Q1ECAOQdldpIT86X8pVUmE5ouk9/VY9drUe/X62pG4/YnQ4A4EYoSgCAvKXIrdJTi6VSDeRnYvWj18d6XNP18qRN+mTeLrlcjIgHAKAoAQDyIv9CUtdp0m2PyyGjvp7j9YnnN/pu0Xa9MHGj4hKT7U4IALAZRQkAkDd5eEntPpfuHSJZTj3oXKaJXh9ozZYd6vTdKoVHxdmdEABgI4oSACDvsiyp7jNSl8mST7BqOfZohs87SjyyUR2+/ks7T0TanRAAYBOKEgAA5ZpevG6pYAWF6owme7+rmpGL9eDwv7R4Z7jd6QAANqAoAQAgSQXLSU8tlMrfIx8l6GuvL/S0a6KeHLNao1bslzEM8gAAeQlFCQCAFD7B0qO/SPWelyS95DFVX3l8riEzNqjf79uUlOyyOSAA4GahKAEA8G8Op9TyA6n9cBmnl+51rtVkr3e1aNU69Ri9VpFxiXYnBADcBBQlAAAyUusxWY/PlPwLq4rjoKZ7v6OYvSv04PC/dPhsjN3pAADZjKIEAMDllKx7cZCH0GoqaEVqovcHqnlmpu7/eoXWHzxrdzoAQDaiKAEAcCX5wqSec6XK98lTSRrq+Z16xf+gLt/9pWkbj9qdDgCQTShKAABcjZe/9NAYqcmbkqQnPWbrG8dH6jdphYbN382IeACQC1GUAADIDIdDavKG9NAYGQ9fNXZu0VSvfpqx6E+9MGGj4hKT7U4IAMhCFCUAAK7FrffLemKuFFRC5RzHNc2rnyK2zlXn71fpVFS83ekAAFmEogQAwLUqWkN6erFUoo6CrWiN9vpINY9O0P1fLdeuE1F2pwMAZAGKEgAA1yMgROo+U6r5mJwy6u/5k56P/lKPjPhTi3eF250OAHCDKEoAAFwvD2+p/ddSiw9kLIc6eyzWt2ag/jt6oUav2G93OgDADaAoAQBwIyxLqv+8rEd/kfEOVF3HTk3zelsTZ85Rv9+3KinZZXdCAMB1oCgBAJAVKjSX9eRCmQJlVcI6rcle/XVy9W96Ysw6RcYl2p0OAHCNKEoAAPxfe/cdHVWdgH38uTOTCkkgIQmBIE0goBK6dESqIMpawLb2VQRRdHVfd9lXdFfFVUFEig1xRUAWEFDpIC00SQxIUTqhhAAJaaQnc98/eM2OI7oEk9zJ5Ps5hz+4M+E8nPM7OfPlkpnyEt5CxqNrpSY3qIZRoPd939Z1hz/QHdM268T5XKvXAQDKgFACAKA8BYZK9y6UOj0uSXrOZ76eTH9dd035RglJ6RaPAwBcLkIJAIDyZndIg96Qbp4k0+bQLfatml78d435cKmW7Dxl9ToAwGUglAAAqCgdHpJx/xKZAaFqbTuqhfaxmjlvgd5efUCmaVq9DgDwGwglAAAqUqPuMh5bJzOilSKMDM3z/aeS1s3U05/vVH5RidXrAAC/glACAKCi1W4k45FVUotB8jOKNMl3mlrtnaD7Ptisc9kFVq8DAFwCoQQAQGXwC5KGz5Z6/FmSNMLxlZ5IeVH3TFmt/SnZFo8DALgjlAAAqCw2m9TnRem2j+S0+6uPPVFT8/6ip6cv0qq9KVavAwC4IJQAAKhsre+U7eFlctaIVHPbKc3VX/XZ7I/13PxdfDgtAHgIQgkAACvUby/b4xvkrNdOtY0L+tT3X2q/a5xum7hcGw+cs3odAFR7hBIAAFYJjpLtoWWlH057t2OdPi14Wh9/8oHGLtqtnIJiiwcCQPVFKAEAYCWfgIsfTvvgMjlrN1Y947w+8X1DsQljdeek5dp+JM3qhQBQLRFKAAB4gkbdZHtii9R5pEwZGubYoI9zR+uDGdP0z6/38ZlLAFDJCCUAADyFb6A0cLyMh1fIWbuJ6hrpmuHzllptf17D31mmxOPpVi8EgGqDUAIAwNNc1Vm2kVukrqNlGjbdbo/Th9lPavr7k/XGih9VUMzdJQCoaIQSAACeyCdA6v+KjIdXqSS0mSKMDH3gM1HNNz+j+yYv197kTKsXAoBXI5QAAPBkDTrK/kSc1G2MTNk01L5F0zKf0NSpb2vy2oMqKnFavRAAvBKhBACAp/Pxl/q9LOPRNSoOa6FwI0vTfN5W4/VP6qGpy3XwTLbVCwHA6xBKAABUFdHt5Xhik8zuf5bTsGuIfZsmpY3Qu1Pe0gcbD6vEaVq9EAC8BqEEAEBV4vCT0fdF2f60VkVhMapjZGmyfZKiV4/QY9OW6VhqjtULAcArEEoAAFRF9drK54lNMnv+RU7DoUH2b/Xmucf07uTX9e/NR+Xk7hIA/C6EEgAAVZXDV8aNY2V77BsV1rlGocYFTbBNVt0Vj2rUB8t1Mj3X6oUAUGURSgAAVHVRsfIdsV7OXn+V03BogD1e408/qimTXtW8b5NkmtxdAoCyIpQAAPAGDl/Zer8g2+MbVBB+nWoZOXrdmKLQrx7Usx8t15msfKsXAkCVQigBAOBN6l4rvxHr5Oz9d5UYDvWzf6eXTj6idyf+Q0sST3J3CQAuE6EEAIC3sfvI1ut52UdsUn54rEKMXL2iqQr+4h799ZOVSr1QYPVCAPB4hBIAAN4qspX8R3yjkhvHqcTwUW/7Lv3t2IOaNmGcVuxOtnodAHg0QgkAAG9md8je81nZR25WbkRbBRt5etGcrsD/DNNLs1YoM7fI6oUA4JEIJQAAqoPwFgocsVbFfV5WkeGnnvbd+vOhBzV1wlit++GM1esAwOMQSgAAVBc2uxw9xshn1GZdiGivICNPfyt5X445t+n1OSuVnc/dJQD4CaEEAEB1U6eZao5YraJ+r6rI5qce9j16cv/9eu+tsdpy8KzV6wDAIxBKAABURza7fLo9KZ9RW5UV0VE1jXw9X/y+jE9v1aT/rFRuYbHVCwHAUoQSAADVWVhTBY9YpYJ+41Vo81cX+z49tveP+vCt/6P4o6lWrwMAyxBKAABUdzab/LqNlO+TW5UReb0CjQI9XfiRSmYO1ntfrFJ+UYnVCwGg0hFKAADgotAmqvX4CuX1e0MFtgBdb/tRD+y6Vx+/9by+P55m9ToAqFSEEgAA+C+bTQHdHpff6G06H9FZAUahRhbMUNFHAzVzySoVFjutXggAlYJQAgAAv1S7kUKfWKGc/hOUbwSove2A7v7uHv17wp/1Y3K61esAoMIRSgAA4NIMQzW6Pir/p7/VuYiu8jeK9Ke8j5X3Xj/N+Xq1iku4uwTAexFKAADgt9W6SuFPLFN2/7eVa9RQW9tB3b7jbs2e+KwOpWRYvQ4AKgShBAAA/jfDUFDXhxXw9HalRPSQn1GkB3JmKnf6jVqwfLWcTtPqhQBQrgglAABw2YxaDVT3ia+U0X+Scowaam0c1pBtd2ne22N0/FyW1fMAoNwQSgAAoGwMQ7W6PqTAMTt0KryX/Ixi3Z39ibKn9NTXq1fLNLm7BKDqI5QAAMAVMULqq/7IJUrt964uGDV1jXFU/eOGa+HbTyk5jbtLAKo2QgkAAFw5w1CdbvcrcEy8ksJvkK9RojuyPlXm5B5atZa7SwCqLkIJAAD8braQKDUcuVhn+k1VthGklsYx9d44XF+9M1pnM7i7BKDqIZQAAED5MAxFdrtPAWPidbjOjfIxSnRLxiylT+qujRtWW70OAMqEUAIAAOXKEVJXTUd9oVN9pynTCFYLJanrN8O0fPIonc/MtnoeAFwWQgkAAJQ/w1D97vcq8JkE7Q/rK4fh1E3nP1P62120PY67SwA8H6EEAAAqjE9whFqMXqikPu8p3QhRU51Qh9V3au27I5WZzd0lAJ6LUAIAABWuYY+7FTAmXnvD+stumOqTNlvnJ3TWd1tWWT0NAC6JUAIAAJXCPyRC14yer0M3vq/zRi011knFrhymjVNH6MIF7i4B8CyEEgAAqFRX97xLAWMStCt0gOyGqZ7n5ur8hE7as427SwA8B6EEAAAqXUBIHcU+9R/9cMMHSlVtXWUmq9XyYdo67THl5XB3CYD1CCUAAGCZljcMl9+YHYqvfZNshqkuZ+cp7a2O2v/tSqunAajmCCUAAGCpoFrh6vD059rV6yOdVaiizdNqtnS44t/7kwpys6yeB6CaIpQAAIBHiO19p/yejtfWWoNlM0x1SPmP0t7qqKM7Vlg9DUA1RCgBAACPEVI7TF3GzFF894+Uojqq50xR46XDtev9R1WUx90lAJWHUAIAAB6nQ9875Tt6uzYGD5EkxZ6er/NvdtCJhOUWLwNQXRBKAADAI4WG1VGPZ2Zpc7cZOqVwRTrPqMFXd2nfBw+rJC/T6nkAvByhBAAAPJZhGOrW7w75PLlN3wTdIklqlbxQ599sr5Tvllq8DoA3I5QAAIDHi6hTR72f/VTrOn+sE2aEwp3nVPfLe3Tg/ftUeP6E1fMAeCFCCQAAVAmGYaj3wNtlG7VVK2veKklqfvormZPb6eCc5+TMTbd4IQBvQigBAIAqpX5EHfV79t9a3eUzJRot5adCNTvwoXLevFbHvnxdKsq3eiIAL2CYpmlaPaIiZWVlKSQkRJmZmQoODrZ6DgAAKEc5+UVa++Ustdw7Qc2Mk5KkNHu4Cnr8VfV6PijZ7NYOBOBRytIGhBIAAKjyUrNytWnBu+qc9J6ijPOSpGS/JvId+A/VaXOzZBgWLwTgCQglF4QSAADVR1JKqr5b8IZuPDdLIUbuxWtBbRV26+uqeXVni9cBsBqh5IJQAgCg+tlzKElHFv9TA7IXy88okiQdDu+r6Ntfk1/dFhavA2AVQskFoQQAQPVkmqa2fve9slf8Q30L18pumCqWTUkN71Sj216WPSTK6okAKhmh5IJQAgCgeitxmlqzfp0C415VD2e8JClffkq55hE1HPKCDP8QixcCqCyEkgtCCQAASFJ+UYlWLluoRolvKFYHJUlZthBld3pG9fuOlBx+Fi8EUNEIJReEEgAAcJWRU6A1iz5Wu4OT1cRIliSl+kTJ7D1W4Z3vlWx8zCTgrQglF4QSAAC4lJNpWdqy4B31Sv5IkUaGJCk5oLlqDH5FIdcOsHYcgApBKLkglAAAwG/54fgZ7Vk4XgMyPlewkSdJOl6rk8L/MF4BDTtYvA5AeSKUXBBKAADgcny754CSv35VN+V9LT+jWJJ0LGqgom97TY7wphavA1AeCCUXhBIAALhcTqeptdvi5Vz7T/Ur3iibYapIDiVffbeuGvqijJoRVk8E8DsQSi4IJQAAUFaFxU4tX7NSdba9rm7aKUnKMwJ0PnaE6t/0nORX09qBAK4IoeSCUAIAAFcqO79Iy76cp2v2TtC1xhFJUqa9tgq6Pa+IXo9Jdh+LFwIoC0LJBaEEAAB+rzOZuVq78AN1TZqmRsYZSVKqb7Qc/cepVvs7JcOweCGAy0EouSCUAABAeTl0Ok3bF0xS/9RPFG5kSZJO12ilkFteVWCLGy1eB+B/IZRcEEoAAKC8fXfwhA4sHq+bLyxUTSNfknQyrJsibxsvn/qxFq8D8GsIJReEEgAAqAimaWpdwl5lrnxNNxeukI9RIqcMnWowRPX/8E/ZQhtZPRGAG0LJBaEEAAAqUnGJU0s3bFbApvHqb26WJBXJobMx96v+Lf9XCgy1eCGAnxBKLgglAABQGXILi/XlsqVqlPiGOht7Ll4zApXdYbQi+42RfAOtHQiAUHJFKAEAgMqUmp2v5UvmqP2BSWplS5IkZTrC5Oz1gmp3fViyOyxeCFRfhJILQgkAAFghKTVb6xZMU5/kD9XAdk6SlOp/lQIG/kM1YofyluKABQglF4QSAACw0vfHzijxi4kakvmZQo0LkqSU4NaqPfR1+TXpZvE6oHohlFwQSgAAwGqmaWrTniM6+fW/NDR/sQKNAklScuQNivzDeNnrtrJ4IVA9EEouCCUAAOApSpymlm/dqaK1r2lIyRo5DKdKZNOZxrcp6taXZNRqYPVEwKsRSi4IJQAA4Gnyi0q0eM16hW3/l/ppuySpUL7KuO5hRQx6QQqobfFCwDsRSi4IJQAA4Kkycgu1+OslumbvW+po/ChJyrXVVH7nMQrtPVry8bd4IeBdCCUXhBIAAPB0p9JzteyLf6tH0lTF2E5IkjJ8ImXvM1ZBne6TbHaLFwLegVByQSgBAICqYt/JdMV9MVWD0z5WfSNNkpQW2EQ1Br8i/1aDeEtx4HcilFwQSgAAoKrZuv+Ufljylm7LmadaRo4k6Uzt9gobOl6OhtdbvA6ougglF4QSAACoipxOUysTftT5lW/o9qKv5G8USZJS6vdX5NBXZYQ3t3ghUPUQSi4IJQAAUJUVFju1eMN2+ca9oSHOdbIbpkpk0/nmwxV+8zgpOMrqiUCVQSi5IJQAAIA3yM4v0sIVq9Ug8S31MRIkSQWGn3LaPa7Qfs9J/iEWLwQ8H6HkglACAADe5ExWvhYtWaCOB99Re9sBSVKOPUTOHn9WUPcRksPP4oWA5yKUXBBKAADAGx06k61VX8xQ/9Pv62pbsiQpwy9Kfv3+rwLa3S3ZbBYvBDwPoeSCUAIAAN4s/shZfbtoim7L+lR1jXRJUlrN5goa8qp8m/fjLcUBF4SSC0IJAAB4O9M0teb7Yzq2dIKGFyxQsJEnSTpX53qFDX1dtuh2Fi8EPAOh5IJQAgAA1UVxiVOLt+xRwbo3dEfJcvkZxZKk1IaDVOeWV6SwphYvBKxFKLkglAAAQHWTW1is/6zeotBv39TN2iSbYapYdmW1uk+hg/4u1YyweiJgCULJBaEEAACqq7QLBfrP18vVct/busG2U5JUYASooOMTCu71pFQjzNqBQCUjlFwQSgAAoLpLSsvR4kWfq9fxKWpjOyJJKjR8daH57QrtM0aKiLF2IFBJCCUXhBIAAMBFu46na93ij9Qn9TNdZztWev1sRHeF9R0je7O+vEsevBqh5IJQAgAA+Lldx9O1Yc0SxRz7TH2NeNmMiy8Hzwc2ln/3JxXY8V7JJ8DilUD5I5RcEEoAAACXdjYrX1+t36KAxI90i3Otahr5kqQce4gKYh9QaO9RUlBdi1cC5YdQckEoAQAA/Lb8ohItj9+vsxtnaFDOEjWwnZMkFcuh1IaDFdH/Gdnqt7V4JfD7EUouCCUAAIDLY5qmth8+q52rZqt9ylx1tB0ofSyldnvVuvFp+V9zs2SzW7gSuHJlaQNbJW26IuPHj1fHjh0VFBSkiIgIDR06VPv377d6FgAAgFcyDEOdr47UiJHPqu6YDZrRcoaWmt1VZNpVNz1B/gvvV/q/rlP6N+9IBdlWzwUqlEffURo4cKDuuusudezYUcXFxRo7dqx2796tffv2qUaNGpf1Z3BHCQAA4MpdKCjW8s0JKtz6vgYXrlAtI0eSlGerofSYuxTV7ykZtRtZOxK4TF77X+/OnTuniIgIbdiwQT179rysryGUAAAAfj+n09SmfUk6snaGeqbNV1PbaUlSiWxKjuqriH5j5Ne4K28vDo/mtaF06NAhNWvWTLt379a11157yecUFBSooKCg9PdZWVlq0KABoQQAAFBODqZkavPKeWp25FN1M3aXXk+p2UoBPUcrpP2dkt3HwoXApXllKJmmqVtvvVXp6enatGnTrz7vpZde0ssvv/yL64QSAABA+crILdTKb75RwHcfaEDJRvkZRRevO8KV1/ZhRfUeIQWGWrwS+C+vDKVRo0Zp6dKliouLU3R09K8+jztKAAAAlau4xKl1CfuUtmG6+lz4SuFGpiQpX35KafwHRQ98Vo7IFhavBLwwlEaPHq3Fixdr48aNaty4cZm+lp9RAgAAqDy7k85o94qP1TZ5jloax0uvJ4V2V1jfMarZsi8/xwTLeE0omaap0aNHa9GiRVq/fr2aNWtW5j+DUAIAAKh8ZzPztGHVIkXsnaEeZoJsxsWXnKf9m8rW+QlFdvuj5ONv8UpUN14TSiNHjtScOXO0ZMkStWjx39u1ISEhCggIuKw/g1ACAACwTn5RidZt3qqirdPVJ3+1ahgXf0QiyxaitJb3qeGAp2ULjrR4JaoLrwkl41duy86cOVMPPvjgZf0ZhBIAAID1TNNUwo9HlbR6urqkLVQ9I02SVCiHjtcbpHoD/6zAq9pYOxJez2tCqTwQSgAAAJ7lRGqWdiz/RE0Pf6pYHSy9fjSovWr2ekrh7W6RbDYLF8JbEUouCCUAAADPlFNQrA3fLFNAwnvqUbRVDsMpSTrjU185bf+kxn0eleEXZPFKeBNCyQWhBAAA4NmcTlPbdu5S+rop6pG1VMFGriQp26ihU02Gq9GgMfIPa2jxSngDQskFoQQAAFB1HD6Von3L3lPrk3PV0EiRJBXLpkNhfRTe/xmFtehm8UJUZYSSC0IJAACg6snIydfWFXMUsWeG2pt7Sq8fDbhGRpdRatRtuGR3WLgQVRGh5IJQAgAAqLqKS5zaumW9SjZPVZe89fIziiVJ52zhOtfqQTW7aZR8atS2eCWqCkLJBaEEAADgHX44cFDHV72rDucWKczIkiTlyl+H6t+qhjc9q5DoGIsXwtMRSi4IJQAAAO9yNj1DO5d+qKaH/q2mOiFJcpqGfgzppqAbnlKDtv2lX/k8TlRvhJILQgkAAMA7FRQVa/vaLxSQ8L46FsWXXj/m01Q5bR9Ty74Pyubrb+FCeBpCyQWhBAAA4N1M09T3O3coY91kdcpcqQCjUJKUZtRWUpO71fzmp1Wzdl2LV8ITEEouCCUAAIDq41TyKR1YNkWtTn6uSJ2XJBWYPtpbZ6CiBjyrqObtLF4IKxFKLgglAACA6icnN0/fLZ+p8L0zFOM8VHp9b0B7GV1GqmX3P8iw2S1cCCsQSi4IJQAAgOrLWeLUzq0rVbx5qtrnxsluXHzpe9wWrXOtHtI1gx6Xf2CQxStRWQglF4QSAAAAJOnYob06tfIdxZ79UjWNPElShmrqx/p3qOmgMQqv39jihahohJILQgkAAACuMtPPa8/SqWp0eJbqm2ckSUWmXbtCeivohqfVol1PixeiohBKLgglAAAAXEpxUZF2rZ2rgIT31apoT+n1fT7XKKftY2rT7175+PhYuBDljVByQSgBAADgfzm4c5Myv3lHsZnfyMcokSSdUqSONL1P1w4epdqhYRYvRHkglFwQSgAAALhcqaeP6fDSSWpxcr5q6YIk6YIZoJ3hN6te/2fUpPk1Fi/E70EouSCUAAAAUFYFednas+xDReydoQbOk5KkEtPQbt9YZTX7g1r2vlfh4eEWr0RZEUouCCUAAABcKdNZogNbvlTJ5ilqlRdfer3A9FFiQGcVtrpdrW+4Q7WCeYvxqoBQckEoAQAAoDykndivpPX/VsSxLxVdcqL0eqZZQ7uCesoeO0xte96sQD9fC1fitxBKLgglAAAAlCvTVMr+b3V68yxFn1ymcDOt9KEUM1R7Q/uqRod71LZTD/n5OCwcCneEkgtCCQAAABXGWaKTO9fo/LbZanx2jYKUU/rQYdXXoYibFNblXrWNbSu7zbBwKCRC6WcIJQAAAFQGsyhfx7YtUV7CXDXNiJOfikof+95orpP1b1Z0j3t0XfOrZRhEkxUIJReEEgAAACpbSW6GjsR9Ln2/QE0uxMuuiy+5i02b4u2xSmtyi5r1vFvNr4qyeGn1Qii5IJQAAABgpcL0ZB3b+Jn8fliohvk/ll7PM3213fd65TS/Tdf1uk1XRdSybmQ1QSi5IJQAAADgKfJO/6jjG2ap1uFFiiw6VXo93ayp7QE9VHLNnerY8yZFhARauNJ7EUouCCUAAAB4HNPUhSM7lBz3qcKTlqq283zpQ6fMOkoIulG+bYepS5cbFBLoY+FQ70IouSCUAAAA4NGcJUrft0apWz5T/dOrFWjmlT6032ygPaH9FdzpbnVr31aBvrzd+O9BKLkglAAAAFBlFOUp9buvlLljjhqkbpKviksfSjBb6HDkIEV2Ga4u17WQr8Nm4dCqiVByQSgBAACgSspLV8q2+SpI/FwNsr6T7f+/c16RaddWI1anGgxR4253qGPzBnxG02UilFwQSgAAAKjqzMyTSo6bI9ue+YrKO1B6Pcf000bb9Upveqta9bhVsVfV4TOafgOh5IJQAgAAgDcpOfOjkjd9qsADixRWmFx6Pc0M0kaf7sqLuV0dug9Q87q89nVHKLkglAAAAOCVTFNFSd/qdNws1Tr6tYJL0ksfOuEMV1zADTKvG6YeXburQShvNy4RSj9DKAEAAMDrlRQr/+A3Ord5lsJPrpa/yzvn7XM21I6gPgpoN0y9O7VTeJCfhUOtRSi5IJQAAABQrRTmKmf3V8rYPkeRZzfJoRJJktM09K0Zo72h/RXWcZh6t2uhkIDq9RlNhJILQgkAAADVVu55ZX23QDnxnysqI6H0cqFp10azrQ7XvUnRnW/Tjdc2VICv3cKhlYNQckEoAQAAAJIyTij9289Vsmue6uQcLL18wfTXGnVS8lVDFNN5sLq3iPLaz2gilFwQSgAAAICbM/uUuu0z+ez9QiGFp0svnzNDtNroqoyrh6pt577q1CTMqz6jiVByQSgBAAAAv8LplHliu1K3fqYaB79SYElm6UNHnZFa6+ipwla3q9v1XdQ6OqTKf0YToeSCUAIAAAAuQ0mRSg6u1fltsxWStEq+Zn7pQ987G2uT/w2yt75DfTrGqllkkIVDrxyh5IJQAgAAAMqo4IKKfliqjG2zFZqySXY5JV1857ytzlbaXrOPgtvdpgHtW1Spz2gilFwQSgAAAMDvkJOqgl0LdSF+rsLOJ5ZeLjB99I2zjXaHDlBUh1s0sE0jj/+MJkLJBaEEAAAAlJP0Y8r7bp4KE+cp5MLh0stZZqBWODvpcN2bdHWngep/bX2P/IwmQskFoQQAAACUM9OUzuxRTvznMnfPV82CM6UPnTFraZmzq05dNURtOvVSn5Z1PeYzmgglF4QSAAAAUIGcTun4VmXvmCOf/V/Kvzir9KHDzigtV3dlXH2rnr9nkPwc1gYToeSCUAIAAAAqSXGBzENrlP3tHAUcXS0fs0CSlKsABf49SXJY+zNMZWkDRyVtAgAAAODtHH4yYgYrOGawVJAt84evlLVjrvL9IxVocSSVFaEEAAAAoPz5Bcloc49C2tyjEKfT6jVlZrN6AAAAAAAvZ6t62VH1FgMAAABABSOUAAAAAMANoQQAAAAAbgglAAAAAHBDKAEAAACAG0IJAAAAANwQSgAAAADghlACAAAAADeEEgAAAAC4IZQAAAAAwA2hBAAAAABuCCUAAAAAcEMoAQAAAIAbQgkAAAAA3BBKAAAAAOCGUAIAAAAAN4QSAAAAALghlAAAAADADaEEAAAAAG4IJQAAAABwQygBAAAAgBtCCQAAAADcEEoAAAAA4IZQAgAAAAA3hBIAAAAAuCGUAAAAAMANoQQAAAAAbgglAAAAAHBDKAEAAACAG0IJAAAAANwQSgAAAADgxmH1gIpmmqYkKSsry+IlAAAAAKz0UxP81Ai/xetDKTs7W5LUoEEDi5cAAAAA8ATZ2dkKCQn5zecY5uXkVBXmdDqVnJysoKAgGYZh6ZasrCw1aNBAJ06cUHBwsKVbUDVwZlBWnBmUFWcGZcWZQVl50pkxTVPZ2dmqV6+ebLbf/ikkr7+jZLPZFB0dbfWMnwkODrb8kKBq4cygrDgzKCvODMqKM4Oy8pQz87/uJP2EN3MAAAAAADeEEgAAAAC4IZQqkZ+fn8aNGyc/Pz+rp6CK4MygrDgzKCvODMqKM4OyqqpnxuvfzAEAAAAAyoo7SgAAAADghlACAAAAADeEEgAAAAC4IZQAAAAAwA2hVM6mTZumxo0by9/fX+3bt9emTZt+8/kbNmxQ+/bt5e/vryZNmui9996rpKXwFGU5M1988YX69eun8PBwBQcHq0uXLlq5cmUlroUnKOv3mZ9s3rxZDodDbdq0qdiB8DhlPTMFBQUaO3asGjZsKD8/PzVt2lQff/xxJa2FJyjrmZk9e7ZiY2MVGBioqKgoPfTQQ0pLS6uktbDSxo0bNWTIENWrV0+GYWjx4sX/82uqyutfQqkczZs3T2PGjNHYsWOVmJioHj166KabbtLx48cv+fyjR49q0KBB6tGjhxITE/W3v/1NTz31lBYuXFjJy2GVsp6ZjRs3ql+/flq2bJkSEhLUu3dvDRkyRImJiZW8HFYp65n5SWZmpu6//3716dOnkpbCU1zJmRk2bJjWrl2rGTNmaP/+/Zo7d65iYmIqcTWsVNYzExcXp/vvv1+PPPKI9u7dq/nz52vHjh169NFHK3k5rJCTk6PY2FhNmTLlsp5fpV7/mig3nTp1MkeMGPGzazExMeYLL7xwyef/5S9/MWNiYn527fHHHzc7d+5cYRvhWcp6Zi6lVatW5ssvv1ze0+ChrvTMDB8+3Pz73/9ujhs3zoyNja3AhfA0ZT0zy5cvN0NCQsy0tLTKmAcPVNYz8+abb5pNmjT52bXJkyeb0dHRFbYRnkmSuWjRot98TlV6/csdpXJSWFiohIQE9e/f/2fX+/fvry1btlzya7Zu3fqL5w8YMEDx8fEqKiqqsK3wDFdyZtw5nU5lZ2crNDS0IibCw1zpmZk5c6YOHz6scePGVfREeJgrOTNffvmlOnTooDfeeEP169dX8+bN9dxzzykvL68yJsNiV3JmunbtqpMnT2rZsmUyTVNnzpzRggULNHjw4MqYjCqmKr3+dVg9wFukpqaqpKREkZGRP7seGRmplJSUS35NSkrKJZ9fXFys1NRURUVFVdheWO9Kzoy7CRMmKCcnR8OGDauIifAwV3JmDh48qBdeeEGbNm2Sw8G3/OrmSs7MkSNHFBcXJ39/fy1atEipqakaOXKkzp8/z88pVQNXcma6du2q2bNna/jw4crPz1dxcbFuueUWvfvuu5UxGVVMVXr9yx2lcmYYxs9+b5rmL679r+df6jq8V1nPzE/mzp2rl156SfPmzVNERERFzYMHutwzU1JSonvuuUcvv/yymjdvXlnz4IHK8n3G6XTKMAzNnj1bnTp10qBBgzRx4kR98skn3FWqRspyZvbt26ennnpKL774ohISErRixQodPXpUI0aMqIypqIKqyutf/nmxnNSpU0d2u/0X/9py9uzZX1TzT+rWrXvJ5zscDoWFhVXYVniGKzkzP5k3b54eeeQRzZ8/X3379q3ImfAgZT0z2dnZio+PV2Jiop588klJF18Em6Yph8OhVatW6cYbb6yU7bDGlXyfiYqKUv369RUSElJ6rWXLljJNUydPnlSzZs0qdDOsdSVnZvz48erWrZuef/55SVLr1q1Vo0YN9ejRQ6+88opH3SGA9arS61/uKJUTX19ftW/fXqtXr/7Z9dWrV6tr166X/JouXbr84vmrVq1Shw4d5OPjU2Fb4Rmu5MxIF+8kPfjgg5ozZw7//7uaKeuZCQ4O1u7du7Vz587SXyNGjFCLFi20c+dOXX/99ZU1HRa5ku8z3bp1U3Jysi5cuFB67cCBA7LZbIqOjq7QvbDelZyZ3Nxc2Ww/f0lpt9sl/fdOAfCTKvX616I3kfBKn3/+uenj42POmDHD3LdvnzlmzBizRo0a5rFjx0zTNM0XXnjB/OMf/1j6/CNHjpiBgYHmM888Y+7bt8+cMWOG6ePjYy5YsMCqvwIqWVnPzJw5c0yHw2FOnTrVPH36dOmvjIwMq/4KqGRlPTPueNe76qesZyY7O9uMjo4277jjDnPv3r3mhg0bzGbNmpmPPvqoVX8FVLKynpmZM2eaDofDnDZtmnn48GEzLi7O7NChg9mpUyer/gqoRNnZ2WZiYqKZmJhoSjInTpxoJiYmmklJSaZpVu3Xv4RSOZs6darZsGFD09fX12zXrp25YcOG0sceeOABs1evXj97/vr16822bduavr6+ZqNGjczp06dX8mJYrSxnplevXqakX/x64IEHKn84LFPW7zOuCKXqqaxn5ocffjD79u1rBgQEmNHR0eazzz5r5ubmVvJqWKmsZ2by5Mlmq1atzICAADMqKsq89957zZMnT1byalhh3bp1v/napCq//jVMk3uiAAAAAOCKn1ECAAAAADeEEgAAAAC4IZQAAAAAwA2hBAAAAABuCCUAAAAAcEMoAQAAAIAbQgkAAAAA3BBKAAAAAOCGUAIAAAAAN4QSAAAAALghlAAAAADADaEEAPBa586dU926dfXaa6+VXtu+fbt8fX21atUqC5cBADydYZqmafUIAAAqyrJlyzR06FBt2bJFMTExatu2rQYPHqxJkyZZPQ0A4MEIJQCA1xs1apTWrFmjjh07ateuXdqxY4f8/f2tngUA8GCEEgDA6+Xl5enaa6/ViRMnFB8fr9atW1s9CQDg4fgZJQCA1zty5IiSk5PldDqVlJRk9RwAQBXAHSUAgFcrLCxUp06d1KZNG8XExGjixInavXu3IiMjrZ4GAPBghBIAwKs9//zzWrBggXbt2qWaNWuqd+/eCgoK0tdff231NACAB+O/3gEAvNb69es1adIkzZo1S8HBwbLZbJo1a5bi4uI0ffp0q+cBADwYd5QAAAAAwA13lAAAAADADaEEAAAAAG4IJQAAAABwQygBAAAAgBtCCQAAAADcEEoAAAAA4IZQAgAAAAA3hBIAAAAAuCGUAAAAAMANoQQAAAAAbgglAAAAAHDz/wA7GnFKe8aZWAAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter11_50_2.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1008,16 +1007,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter11_52_3.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1314,16 +1312,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter11_58_3.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1640,31 +1637,29 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter11_66_3.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter11_66_4.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1926,16 +1921,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter11_79_3.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -2309,31 +2303,29 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter11_91_3.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter11_91_4.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -3026,28 +3018,26 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m    141\u001b[0m     \u001b[0mlmb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.01\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 143\u001b[0;31m     \u001b[0mP\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msolve_pde_deep_neural_network\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_hidden_neurons\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_iter\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlmb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    144\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    145\u001b[0m     \u001b[0;31m## Store the results\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36msolve_pde_deep_neural_network\u001b[0;34m(x, t, num_neurons, num_iter, lmb)\u001b[0m\n\u001b[1;32m    118\u001b[0m     \u001b[0;31m# Let the update be done num_iter times\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    119\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_iter\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m         \u001b[0mcost_grad\u001b[0m \u001b[0;34m=\u001b[0m  \u001b[0mcost_function_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mP\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m,\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    121\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    122\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ml\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mN_hidden\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py\u001b[0m in \u001b[0;36mnary_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     18\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m                 \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0margnum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0munary_operator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0munary_f\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mnary_op_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mnary_op_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     21\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mnary_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnary_operator\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py\u001b[0m in \u001b[0;36mgrad\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m     23\u001b[0m     \u001b[0marguments\u001b[0m \u001b[0;32mas\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbut\u001b[0m \u001b[0mreturns\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mgradient\u001b[0m \u001b[0minstead\u001b[0m\u001b[0;34m.\u001b[0m \u001b[0mThe\u001b[0m \u001b[0mfunction\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     24\u001b[0m     should be scalar-valued. The gradient has the same type as the argument.\"\"\"\n\u001b[0;32m---> 25\u001b[0;31m     \u001b[0mvjp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mans\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_make_vjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     26\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mvspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mans\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     27\u001b[0m         raise TypeError(\"Grad only applies to real scalar-output functions. \"\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py\u001b[0m in \u001b[0;36mmake_vjp\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmake_vjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m     \u001b[0mstart_node\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mVJPNode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnew_root\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m     \u001b[0mend_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_node\u001b[0m \u001b[0;34m=\u001b[0m  \u001b[0mtrace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstart_node\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mend_node\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mvjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mvspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py\u001b[0m in \u001b[0;36mtrace\u001b[0;34m(start_node, fun, x)\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mtrace_stack\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnew_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m         \u001b[0mstart_box\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_box\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart_node\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m         \u001b[0mend_box\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstart_box\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misbox\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mend_box\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mend_box\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_trace\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mstart_box\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_trace\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mend_box\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_box\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_node\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py\u001b[0m in \u001b[0;36munary_f\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m     13\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m                     \u001b[0msubargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msubvals\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margnum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0msubargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     16\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margnum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m                 \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0margnum\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36mcost_function\u001b[0;34m(P, x, t)\u001b[0m\n\u001b[1;32m     78\u001b[0m             \u001b[0mg_t\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mg_trial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mP\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     79\u001b[0m             \u001b[0mg_t_jacobian\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mg_t_jacobian_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mP\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 80\u001b[0;31m             \u001b[0mg_t_hessian\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mg_t_hessian_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mP\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     81\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     82\u001b[0m             \u001b[0mg_t_dt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mg_t_jacobian\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py\u001b[0m in \u001b[0;36mnary_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     18\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m                 \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0margnum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0munary_operator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0munary_f\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mnary_op_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mnary_op_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     21\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mnary_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnary_operator\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py\u001b[0m in \u001b[0;36mhessian\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m     76\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mhessian\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m     \u001b[0;34m\"Returns a function that computes the exact Hessian.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mjacobian\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjacobian\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0munary_to_nary\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py\u001b[0m in \u001b[0;36mnary_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     18\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m                 \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0margnum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0munary_operator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0munary_f\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mnary_op_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mnary_op_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     21\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mnary_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnary_operator\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py\u001b[0m in \u001b[0;36mjacobian\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m     59\u001b[0m     \u001b[0mjacobian_shape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mans_vspace\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mvspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     60\u001b[0m     \u001b[0mgrads\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvjp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mans_vspace\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstandard_basis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 61\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgrads\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjacobian_shape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     62\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0munary_to_nary\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/numpy/numpy_wrapper.py\u001b[0m in \u001b[0;36mstack\u001b[0;34m(arrays, axis)\u001b[0m\n\u001b[1;32m     86\u001b[0m     \u001b[0;31m# primitives defined in this file\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     87\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 88\u001b[0;31m     \u001b[0marrays\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0marr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0marrays\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     89\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0marrays\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'need at least one array to stack'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/numpy/numpy_wrapper.py\u001b[0m in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m     86\u001b[0m     \u001b[0;31m# primitives defined in this file\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     87\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 88\u001b[0;31m     \u001b[0marrays\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0marr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0marrays\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     89\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0marrays\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'need at least one array to stack'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py\u001b[0m in \u001b[0;36mvjp\u001b[0;34m(g)\u001b[0m\n\u001b[1;32m     12\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mvjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mvspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m         \u001b[0;32mdef\u001b[0m \u001b[0mvjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mbackward_pass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_node\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     15\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mvjp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py\u001b[0m in \u001b[0;36mbackward_pass\u001b[0;34m(g, end_node)\u001b[0m\n\u001b[1;32m     19\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mnode\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtoposort\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mend_node\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     20\u001b[0m         \u001b[0moutgrad\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moutgrads\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 21\u001b[0;31m         \u001b[0mingrads\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutgrad\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     22\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mparent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mingrad\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparents\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mingrads\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     23\u001b[0m             \u001b[0moutgrads\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mparent\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0madd_outgrads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutgrads\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mingrad\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py\u001b[0m in \u001b[0;36m\u001b[0;34m(g)\u001b[0m\n\u001b[1;32m     65\u001b[0m                     \"VJP of {} wrt argnum 0 not defined\".format(fun.__name__))\n\u001b[1;32m     66\u001b[0m             \u001b[0mvjp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvjpfun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mans\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mg\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mvjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mL\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m             \u001b[0margnum_0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margnum_1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0margnums\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/numpy/numpy_vjps.py\u001b[0m in \u001b[0;36m\u001b[0;34m(g)\u001b[0m\n\u001b[1;32m    421\u001b[0m     \u001b[0mA_ndim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    422\u001b[0m     \u001b[0mB_meta\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mB\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 423\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mg\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mmatmul_adjoint_1\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mA_ndim\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mB_meta\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    424\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    425\u001b[0m \u001b[0mdefvjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0manp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatmul\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmatmul_vjp_0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmatmul_vjp_1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/numpy/numpy_vjps.py\u001b[0m in \u001b[0;36mmatmul_adjoint_1\u001b[0;34m(A, G, A_ndim, B_meta)\u001b[0m\n\u001b[1;32m    408\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# We need to swap the last two axes of A\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    409\u001b[0m         \u001b[0mA\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mswapaxes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mA_ndim\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mA_ndim\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 410\u001b[0;31m     \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatmul\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mG\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    411\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mB_is_vec\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    412\u001b[0m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0manp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0manp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mG\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py\u001b[0m in \u001b[0;36mf_wrapped\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     42\u001b[0m             \u001b[0mparents\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_node\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0m_\u001b[0m     \u001b[0;34m,\u001b[0m \u001b[0mbox\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mboxed_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0margnums\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margnum\u001b[0m    \u001b[0;32mfor\u001b[0m \u001b[0margnum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m   \u001b[0;32min\u001b[0m \u001b[0mboxed_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 44\u001b[0;31m             \u001b[0mans\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mf_wrapped\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margvals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     45\u001b[0m             \u001b[0mnode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnode_constructor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mans\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf_wrapped\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margvals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margnums\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparents\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     46\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mnew_box\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mans\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrace\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py\u001b[0m in \u001b[0;36mf_wrapped\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     35\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mwraps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf_raw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mf_wrapped\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 37\u001b[0;31m         \u001b[0mboxed_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrace\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnode_constructor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfind_top_boxed_args\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     38\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mboxed_args\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     39\u001b[0m             \u001b[0margvals\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msubvals\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margnum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0margnum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbox\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mboxed_args\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py\u001b[0m in \u001b[0;36mfind_top_boxed_args\u001b[0;34m(args)\u001b[0m\n\u001b[1;32m     68\u001b[0m     \u001b[0mtop_node_type\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0margnum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 70\u001b[0;31m         \u001b[0;32mif\u001b[0m \u001b[0misbox\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     71\u001b[0m             \u001b[0mtrace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_trace\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     72\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mtrace\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mtop_trace\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "Input \u001b[0;32mIn [9]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m    140\u001b[0m num_iter \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m250\u001b[39m\n\u001b[1;32m    141\u001b[0m lmb \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.01\u001b[39m\n\u001b[0;32m--> 143\u001b[0m P \u001b[38;5;241m=\u001b[39m \u001b[43msolve_pde_deep_neural_network\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_hidden_neurons\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_iter\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlmb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    145\u001b[0m \u001b[38;5;66;03m## Store the results\u001b[39;00m\n\u001b[1;32m    146\u001b[0m g_dnn_ag \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mzeros((Nx, Nt))\n",
+      "Input \u001b[0;32mIn [9]\u001b[0m, in \u001b[0;36msolve_pde_deep_neural_network\u001b[0;34m(x, t, num_neurons, num_iter, lmb)\u001b[0m\n\u001b[1;32m    118\u001b[0m \u001b[38;5;66;03m# Let the update be done num_iter times\u001b[39;00m\n\u001b[1;32m    119\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(num_iter):\n\u001b[0;32m--> 120\u001b[0m     cost_grad \u001b[38;5;241m=\u001b[39m  \u001b[43mcost_function_grad\u001b[49m\u001b[43m(\u001b[49m\u001b[43mP\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    122\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m l \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(N_hidden\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m1\u001b[39m):\n\u001b[1;32m    123\u001b[0m         P[l] \u001b[38;5;241m=\u001b[39m P[l] \u001b[38;5;241m-\u001b[39m lmb \u001b[38;5;241m*\u001b[39m cost_grad[l]\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:20\u001b[0m, in \u001b[0;36munary_to_nary..nary_operator..nary_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     19\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(args[i] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m argnum)\n\u001b[0;32m---> 20\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43munary_operator\u001b[49m\u001b[43m(\u001b[49m\u001b[43munary_f\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mnary_op_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mnary_op_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py:25\u001b[0m, in \u001b[0;36mgrad\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;129m@unary_to_nary\u001b[39m\n\u001b[1;32m     19\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgrad\u001b[39m(fun, x):\n\u001b[1;32m     20\u001b[0m     \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;124;03m    Returns a function which computes the gradient of `fun` with respect to\u001b[39;00m\n\u001b[1;32m     22\u001b[0m \u001b[38;5;124;03m    positional argument number `argnum`. The returned function takes the same\u001b[39;00m\n\u001b[1;32m     23\u001b[0m \u001b[38;5;124;03m    arguments as `fun`, but returns the gradient instead. The function `fun`\u001b[39;00m\n\u001b[1;32m     24\u001b[0m \u001b[38;5;124;03m    should be scalar-valued. The gradient has the same type as the argument.\"\"\"\u001b[39;00m\n\u001b[0;32m---> 25\u001b[0m     vjp, ans \u001b[38;5;241m=\u001b[39m \u001b[43m_make_vjp\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfun\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     26\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m vspace(ans)\u001b[38;5;241m.\u001b[39msize \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m     27\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGrad only applies to real scalar-output functions. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     28\u001b[0m                         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTry jacobian, elementwise_grad or holomorphic_grad.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py:10\u001b[0m, in \u001b[0;36mmake_vjp\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmake_vjp\u001b[39m(fun, x):\n\u001b[1;32m      9\u001b[0m     start_node \u001b[38;5;241m=\u001b[39m VJPNode\u001b[38;5;241m.\u001b[39mnew_root()\n\u001b[0;32m---> 10\u001b[0m     end_value, end_node \u001b[38;5;241m=\u001b[39m  \u001b[43mtrace\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstart_node\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfun\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m end_node \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     12\u001b[0m         \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mvjp\u001b[39m(g): \u001b[38;5;28;01mreturn\u001b[39;00m vspace(x)\u001b[38;5;241m.\u001b[39mzeros()\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py:10\u001b[0m, in \u001b[0;36mtrace\u001b[0;34m(start_node, fun, x)\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m trace_stack\u001b[38;5;241m.\u001b[39mnew_trace() \u001b[38;5;28;01mas\u001b[39;00m t:\n\u001b[1;32m      9\u001b[0m     start_box \u001b[38;5;241m=\u001b[39m new_box(x, t, start_node)\n\u001b[0;32m---> 10\u001b[0m     end_box \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstart_box\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m isbox(end_box) \u001b[38;5;129;01mand\u001b[39;00m end_box\u001b[38;5;241m.\u001b[39m_trace \u001b[38;5;241m==\u001b[39m start_box\u001b[38;5;241m.\u001b[39m_trace:\n\u001b[1;32m     12\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m end_box\u001b[38;5;241m.\u001b[39m_value, end_box\u001b[38;5;241m.\u001b[39m_node\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:15\u001b[0m, in \u001b[0;36munary_to_nary..nary_operator..nary_f..unary_f\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     14\u001b[0m     subargs \u001b[38;5;241m=\u001b[39m subvals(args, \u001b[38;5;28mzip\u001b[39m(argnum, x))\n\u001b[0;32m---> 15\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msubargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "Input \u001b[0;32mIn [9]\u001b[0m, in \u001b[0;36mcost_function\u001b[0;34m(P, x, t)\u001b[0m\n\u001b[1;32m     78\u001b[0m g_t \u001b[38;5;241m=\u001b[39m g_trial(point,P)\n\u001b[1;32m     79\u001b[0m g_t_jacobian \u001b[38;5;241m=\u001b[39m g_t_jacobian_func(point,P)\n\u001b[0;32m---> 80\u001b[0m g_t_hessian \u001b[38;5;241m=\u001b[39m \u001b[43mg_t_hessian_func\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpoint\u001b[49m\u001b[43m,\u001b[49m\u001b[43mP\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     82\u001b[0m g_t_dt \u001b[38;5;241m=\u001b[39m g_t_jacobian[\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m     83\u001b[0m g_t_d2x \u001b[38;5;241m=\u001b[39m g_t_hessian[\u001b[38;5;241m0\u001b[39m][\u001b[38;5;241m0\u001b[39m]\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:20\u001b[0m, in \u001b[0;36munary_to_nary..nary_operator..nary_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     19\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(args[i] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m argnum)\n\u001b[0;32m---> 20\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43munary_operator\u001b[49m\u001b[43m(\u001b[49m\u001b[43munary_f\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mnary_op_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mnary_op_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py:78\u001b[0m, in \u001b[0;36mhessian\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m     75\u001b[0m \u001b[38;5;129m@unary_to_nary\u001b[39m\n\u001b[1;32m     76\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mhessian\u001b[39m(fun, x):\n\u001b[1;32m     77\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mReturns a function that computes the exact Hessian.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 78\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mjacobian\u001b[49m\u001b[43m(\u001b[49m\u001b[43mjacobian\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfun\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:20\u001b[0m, in \u001b[0;36munary_to_nary..nary_operator..nary_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     19\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(args[i] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m argnum)\n\u001b[0;32m---> 20\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43munary_operator\u001b[49m\u001b[43m(\u001b[49m\u001b[43munary_f\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mnary_op_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mnary_op_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py:61\u001b[0m, in \u001b[0;36mjacobian\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m     59\u001b[0m jacobian_shape \u001b[38;5;241m=\u001b[39m ans_vspace\u001b[38;5;241m.\u001b[39mshape \u001b[38;5;241m+\u001b[39m vspace(x)\u001b[38;5;241m.\u001b[39mshape\n\u001b[1;32m     60\u001b[0m grads \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmap\u001b[39m(vjp, ans_vspace\u001b[38;5;241m.\u001b[39mstandard_basis())\n\u001b[0;32m---> 61\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39mreshape(\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstack\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgrads\u001b[49m\u001b[43m)\u001b[49m, jacobian_shape)\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/numpy/numpy_wrapper.py:88\u001b[0m, in \u001b[0;36mstack\u001b[0;34m(arrays, axis)\u001b[0m\n\u001b[1;32m     83\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstack\u001b[39m(arrays, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m):\n\u001b[1;32m     84\u001b[0m     \u001b[38;5;66;03m# this code is basically copied from numpy/core/shape_base.py's stack\u001b[39;00m\n\u001b[1;32m     85\u001b[0m     \u001b[38;5;66;03m# we need it here because we want to re-implement stack in terms of the\u001b[39;00m\n\u001b[1;32m     86\u001b[0m     \u001b[38;5;66;03m# primitives defined in this file\u001b[39;00m\n\u001b[0;32m---> 88\u001b[0m     arrays \u001b[38;5;241m=\u001b[39m [array(arr) \u001b[38;5;28;01mfor\u001b[39;00m arr \u001b[38;5;129;01min\u001b[39;00m arrays]\n\u001b[1;32m     89\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m arrays:\n\u001b[1;32m     90\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mneed at least one array to stack\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/numpy/numpy_wrapper.py:88\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m     83\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstack\u001b[39m(arrays, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m):\n\u001b[1;32m     84\u001b[0m     \u001b[38;5;66;03m# this code is basically copied from numpy/core/shape_base.py's stack\u001b[39;00m\n\u001b[1;32m     85\u001b[0m     \u001b[38;5;66;03m# we need it here because we want to re-implement stack in terms of the\u001b[39;00m\n\u001b[1;32m     86\u001b[0m     \u001b[38;5;66;03m# primitives defined in this file\u001b[39;00m\n\u001b[0;32m---> 88\u001b[0m     arrays \u001b[38;5;241m=\u001b[39m [array(arr) \u001b[38;5;28;01mfor\u001b[39;00m arr \u001b[38;5;129;01min\u001b[39;00m arrays]\n\u001b[1;32m     89\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m arrays:\n\u001b[1;32m     90\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mneed at least one array to stack\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py:14\u001b[0m, in \u001b[0;36mmake_vjp..vjp\u001b[0;34m(g)\u001b[0m\n\u001b[0;32m---> 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mvjp\u001b[39m(g): \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbackward_pass\u001b[49m\u001b[43m(\u001b[49m\u001b[43mg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend_node\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py:21\u001b[0m, in \u001b[0;36mbackward_pass\u001b[0;34m(g, end_node)\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m node \u001b[38;5;129;01min\u001b[39;00m toposort(end_node):\n\u001b[1;32m     20\u001b[0m     outgrad \u001b[38;5;241m=\u001b[39m outgrads\u001b[38;5;241m.\u001b[39mpop(node)\n\u001b[0;32m---> 21\u001b[0m     ingrads \u001b[38;5;241m=\u001b[39m \u001b[43mnode\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvjp\u001b[49m\u001b[43m(\u001b[49m\u001b[43moutgrad\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     22\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m parent, ingrad \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(node\u001b[38;5;241m.\u001b[39mparents, ingrads):\n\u001b[1;32m     23\u001b[0m         outgrads[parent] \u001b[38;5;241m=\u001b[39m add_outgrads(outgrads\u001b[38;5;241m.\u001b[39mget(parent), ingrad)\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py:67\u001b[0m, in \u001b[0;36mdefvjp..vjp_argnums..\u001b[0;34m(g)\u001b[0m\n\u001b[1;32m     64\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m(\n\u001b[1;32m     65\u001b[0m             \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mVJP of \u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m wrt argnum 0 not defined\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(fun\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m))\n\u001b[1;32m     66\u001b[0m     vjp \u001b[38;5;241m=\u001b[39m vjpfun(ans, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m---> 67\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mlambda\u001b[39;00m g: (\u001b[43mvjp\u001b[49m\u001b[43m(\u001b[49m\u001b[43mg\u001b[49m\u001b[43m)\u001b[49m,)\n\u001b[1;32m     68\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m L \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m2\u001b[39m:\n\u001b[1;32m     69\u001b[0m     argnum_0, argnum_1 \u001b[38;5;241m=\u001b[39m argnums\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/numpy/numpy_vjps.py:82\u001b[0m, in \u001b[0;36m\u001b[0;34m(g)\u001b[0m\n\u001b[1;32m     80\u001b[0m defvjp(anp\u001b[38;5;241m.\u001b[39mlog10,  \u001b[38;5;28;01mlambda\u001b[39;00m ans, x : \u001b[38;5;28;01mlambda\u001b[39;00m g: g \u001b[38;5;241m/\u001b[39m x \u001b[38;5;241m/\u001b[39m anp\u001b[38;5;241m.\u001b[39mlog(\u001b[38;5;241m10\u001b[39m))\n\u001b[1;32m     81\u001b[0m defvjp(anp\u001b[38;5;241m.\u001b[39mlog1p,  \u001b[38;5;28;01mlambda\u001b[39;00m ans, x : \u001b[38;5;28;01mlambda\u001b[39;00m g: g \u001b[38;5;241m/\u001b[39m (x \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m))\n\u001b[0;32m---> 82\u001b[0m defvjp(anp\u001b[38;5;241m.\u001b[39msin,    \u001b[38;5;28;01mlambda\u001b[39;00m ans, x : \u001b[38;5;28;01mlambda\u001b[39;00m g: g \u001b[38;5;241m*\u001b[39m \u001b[43manp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcos\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m     83\u001b[0m defvjp(anp\u001b[38;5;241m.\u001b[39mcos,    \u001b[38;5;28;01mlambda\u001b[39;00m ans, x : \u001b[38;5;28;01mlambda\u001b[39;00m g: \u001b[38;5;241m-\u001b[39m g \u001b[38;5;241m*\u001b[39m anp\u001b[38;5;241m.\u001b[39msin(x))\n\u001b[1;32m     84\u001b[0m defvjp(anp\u001b[38;5;241m.\u001b[39mtan,    \u001b[38;5;28;01mlambda\u001b[39;00m ans, x : \u001b[38;5;28;01mlambda\u001b[39;00m g: g \u001b[38;5;241m/\u001b[39m anp\u001b[38;5;241m.\u001b[39mcos(x) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py:37\u001b[0m, in \u001b[0;36mprimitive..f_wrapped\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(f_raw)\n\u001b[1;32m     36\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mf_wrapped\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 37\u001b[0m     boxed_args, trace, node_constructor \u001b[38;5;241m=\u001b[39m \u001b[43mfind_top_boxed_args\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     38\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m boxed_args:\n\u001b[1;32m     39\u001b[0m         argvals \u001b[38;5;241m=\u001b[39m subvals(args, [(argnum, box\u001b[38;5;241m.\u001b[39m_value) \u001b[38;5;28;01mfor\u001b[39;00m argnum, box \u001b[38;5;129;01min\u001b[39;00m boxed_args])\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py:70\u001b[0m, in \u001b[0;36mfind_top_boxed_args\u001b[0;34m(args)\u001b[0m\n\u001b[1;32m     68\u001b[0m top_node_type \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m     69\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m argnum, arg \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(args):\n\u001b[0;32m---> 70\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[43misbox\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m     71\u001b[0m         trace \u001b[38;5;241m=\u001b[39m arg\u001b[38;5;241m.\u001b[39m_trace\n\u001b[1;32m     72\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m trace \u001b[38;5;241m>\u001b[39m top_trace:\n",
       "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
      ]
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter11_50_2.png b/doc/LectureNotes/_build/jupyter_execute/chapter11_50_2.png
index b28d86a02..956ddd638 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter11_50_2.png and b/doc/LectureNotes/_build/jupyter_execute/chapter11_50_2.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter11_52_3.png b/doc/LectureNotes/_build/jupyter_execute/chapter11_52_3.png
index 2b899f6a1..7db3d1d4b 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter11_52_3.png and b/doc/LectureNotes/_build/jupyter_execute/chapter11_52_3.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter11_58_3.png b/doc/LectureNotes/_build/jupyter_execute/chapter11_58_3.png
index 927a7199c..293aa903e 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter11_58_3.png and b/doc/LectureNotes/_build/jupyter_execute/chapter11_58_3.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter11_66_3.png b/doc/LectureNotes/_build/jupyter_execute/chapter11_66_3.png
index 927a7199c..293aa903e 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter11_66_3.png and b/doc/LectureNotes/_build/jupyter_execute/chapter11_66_3.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter11_66_4.png b/doc/LectureNotes/_build/jupyter_execute/chapter11_66_4.png
index 27c5bfb18..ee57a0922 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter11_66_4.png and b/doc/LectureNotes/_build/jupyter_execute/chapter11_66_4.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter11_79_3.png b/doc/LectureNotes/_build/jupyter_execute/chapter11_79_3.png
index 00efa2389..631cbe6f2 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter11_79_3.png and b/doc/LectureNotes/_build/jupyter_execute/chapter11_79_3.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter11_91_3.png b/doc/LectureNotes/_build/jupyter_execute/chapter11_91_3.png
index 00efa2389..631cbe6f2 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter11_91_3.png and b/doc/LectureNotes/_build/jupyter_execute/chapter11_91_3.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter11_91_4.png b/doc/LectureNotes/_build/jupyter_execute/chapter11_91_4.png
index 877808418..1501bfa50 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter11_91_4.png and b/doc/LectureNotes/_build/jupyter_execute/chapter11_91_4.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter12.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter12.ipynb
index eec0fec32..a0e2d2c34 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter12.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter12.ipynb
@@ -625,16 +625,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter12_35_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -911,16 +910,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter12_51_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1234,16 +1232,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter12_67_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1301,11 +1298,25 @@
    },
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/jax/_src/lib/__init__.py:33: UserWarning: JAX on Mac ARM machines is experimental and minimally tested. Please see https://github.com/google/jax/issues/5501 in the event of problems.\n",
-      "  warnings.warn(\"JAX on Mac ARM machines is experimental and minimally tested. \"\n"
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'flatbuffers'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Input \u001b[0;32mIn [4]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mkeras\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m datasets, layers, models\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mkeras\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlayers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Input\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mkeras\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodels\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Sequential      \u001b[38;5;66;03m#This allows appending layers to existing models\u001b[39;00m\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/__init__.py:51\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     49\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m autograph\n\u001b[1;32m     50\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m bitwise\n\u001b[0;32m---> 51\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compat\n\u001b[1;32m     52\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config\n\u001b[1;32m     53\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m data\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/__init__.py:37\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Compatibility functions.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \n\u001b[1;32m      5\u001b[0m \u001b[38;5;124;03mThe `tf.compat` module contains two sets of compatibility functions.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     32\u001b[0m \n\u001b[1;32m     33\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     35\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m---> 37\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v1\n\u001b[1;32m     38\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v2\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m forward_compatibility_horizon\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/__init__.py:30\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m autograph\n\u001b[1;32m     29\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m bitwise\n\u001b[0;32m---> 30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compat\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config\n\u001b[1;32m     32\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m data\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/compat/__init__.py:37\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Compatibility functions.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \n\u001b[1;32m      5\u001b[0m \u001b[38;5;124;03mThe `tf.compat` module contains two sets of compatibility functions.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     32\u001b[0m \n\u001b[1;32m     33\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     35\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m---> 37\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v1\n\u001b[1;32m     38\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v2\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m forward_compatibility_horizon\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/compat/v1/__init__.py:47\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     45\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m layers\n\u001b[1;32m     46\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m linalg\n\u001b[0;32m---> 47\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lite\n\u001b[1;32m     48\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m logging\n\u001b[1;32m     49\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lookup\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/lite/__init__.py:9\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m constants\n\u001b[0;32m----> 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m experimental\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Interpreter\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m OpHint\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/lite/experimental/__init__.py:8\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Public API for tf.lite.experimental namespace.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m authoring\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01manalyzer\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m ModelAnalyzer \u001b[38;5;28;01mas\u001b[39;00m Analyzer\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m OpResolverType\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/lite/experimental/authoring/__init__.py:8\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Public API for tf.lite.experimental.authoring namespace.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mauthoring\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mauthoring\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compatible\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/lite/python/authoring/authoring.py:43\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mfunctools\u001b[39;00m\n\u001b[1;32m     42\u001b[0m \u001b[38;5;66;03m# pylint: disable=g-import-not-at-top\u001b[39;00m\n\u001b[0;32m---> 43\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m convert\n\u001b[1;32m     44\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lite\n\u001b[1;32m     45\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m converter_error_data_pb2\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/lite/python/convert.py:29\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\n\u001b[1;32m     28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lite_constants\n\u001b[0;32m---> 29\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m util\n\u001b[1;32m     30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m wrap_toco\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mconvert_phase\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Component\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/lite/python/util.py:26\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     23\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\n\u001b[1;32m     24\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmoves\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;28mrange\u001b[39m\n\u001b[0;32m---> 26\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mflatbuffers\u001b[39;00m\n\u001b[1;32m     27\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprotobuf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config_pb2 \u001b[38;5;28;01mas\u001b[39;00m _config_pb2\n\u001b[1;32m     28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprotobuf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m graph_debug_info_pb2\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'flatbuffers'"
      ]
     }
    ],
@@ -1380,112 +1391,7 @@
     "collapsed": false,
     "editable": true
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/keras/optimizer_v2/gradient_descent.py:102: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n",
-      "  super(SGD, self).__init__(name, **kwargs)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r",
-      " 1/12 [=>............................] - ETA: 1s - loss: 3.2703 - accuracy: 0.0000e+00"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
-      "10/12 [========================>.....] - ETA: 0s - loss: 3.2526 - accuracy: 0.1125    "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
-      "12/12 [==============================] - ETA: 0s - loss: 3.2225 - accuracy: 0.1139"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
-      "12/12 [==============================] - 0s 12ms/step - loss: 3.2225 - accuracy: 0.1139\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Learning rate =  1e-05\n",
-      "Lambda =  1e-05\n",
-      "Test accuracy: 0.114\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r",
-      " 1/12 [=>............................] - ETA: 0s - loss: 3.2772 - accuracy: 0.0000e+00"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
-      "11/12 [==========================>...] - ETA: 0s - loss: 3.2195 - accuracy: 0.1136    "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
-      "12/12 [==============================] - 0s 6ms/step - loss: 3.2299 - accuracy: 0.1139\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Learning rate =  1e-05\n",
-      "Lambda =  0.0001\n",
-      "Test accuracy: 0.114\n",
-      "\n"
-     ]
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m                                               \u001b[0mn_filters\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_neurons_connected\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_categories\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m                                               eta, lmbd)\n\u001b[0;32m----> 8\u001b[0;31m         \u001b[0mCNN\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mY_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mepochs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m         \u001b[0mscores\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCNN\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mY_test\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/keras/utils/traceback_utils.py\u001b[0m in \u001b[0;36merror_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     62\u001b[0m     \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     65\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# pylint: disable=broad-except\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m       \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_process_traceback_frames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__traceback__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/keras/engine/training.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[1;32m   1382\u001b[0m                 _r=1):\n\u001b[1;32m   1383\u001b[0m               \u001b[0mcallbacks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_train_batch_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1384\u001b[0;31m               \u001b[0mtmp_logs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1385\u001b[0m               \u001b[0;32mif\u001b[0m \u001b[0mdata_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshould_sync\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1386\u001b[0m                 \u001b[0mcontext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masync_wait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/util/traceback_utils.py\u001b[0m in \u001b[0;36merror_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    148\u001b[0m     \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    149\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 150\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    151\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    152\u001b[0m       \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_process_traceback_frames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__traceback__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/def_function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m    913\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m       \u001b[0;32mwith\u001b[0m \u001b[0mOptionalXlaContext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_jit_compile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 915\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    917\u001b[0m       \u001b[0mnew_tracing_count\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexperimental_get_tracing_count\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/def_function.py\u001b[0m in \u001b[0;36m_call\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m    945\u001b[0m       \u001b[0;31m# In this case we have created variables on the first call, so we run the\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    946\u001b[0m       \u001b[0;31m# defunned version which is guaranteed to never create variables.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 947\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stateless_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pylint: disable=not-callable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    948\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stateful_fn\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    949\u001b[0m       \u001b[0;31m# Release the lock early so that multiple threads can perform the call\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   2954\u001b[0m       (graph_function,\n\u001b[1;32m   2955\u001b[0m        filtered_flat_args) = self._maybe_define_function(args, kwargs)\n\u001b[0;32m-> 2956\u001b[0;31m     return graph_function._call_flat(\n\u001b[0m\u001b[1;32m   2957\u001b[0m         filtered_flat_args, captured_inputs=graph_function.captured_inputs)  # pylint: disable=protected-access\n\u001b[1;32m   2958\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36m_call_flat\u001b[0;34m(self, args, captured_inputs, cancellation_manager)\u001b[0m\n\u001b[1;32m   1851\u001b[0m         and executing_eagerly):\n\u001b[1;32m   1852\u001b[0m       \u001b[0;31m# No tape is watching; skip to running the function.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1853\u001b[0;31m       return self._build_call_outputs(self._inference_function.call(\n\u001b[0m\u001b[1;32m   1854\u001b[0m           ctx, args, cancellation_manager=cancellation_manager))\n\u001b[1;32m   1855\u001b[0m     forward_backward = self._select_forward_and_backward_functions(\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self, ctx, args, cancellation_manager)\u001b[0m\n\u001b[1;32m    497\u001b[0m       \u001b[0;32mwith\u001b[0m \u001b[0m_InterpolateFunctionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    498\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcancellation_manager\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 499\u001b[0;31m           outputs = execute.execute(\n\u001b[0m\u001b[1;32m    500\u001b[0m               \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msignature\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    501\u001b[0m               \u001b[0mnum_outputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_num_outputs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/execute.py\u001b[0m in \u001b[0;36mquick_execute\u001b[0;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[1;32m     52\u001b[0m   \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     53\u001b[0m     \u001b[0mctx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mensure_initialized\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 54\u001b[0;31m     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,\n\u001b[0m\u001b[1;32m     55\u001b[0m                                         inputs, attrs, num_outputs)\n\u001b[1;32m     56\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_NotOkStatusException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "CNN_keras = np.zeros((len(eta_vals), len(lmbd_vals)), dtype=object)\n",
     "        \n",
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter12_35_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter12_35_0.png
index 1d404b058..717b85201 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter12_35_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter12_35_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter12_51_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter12_51_0.png
index dd32534b6..9e48fd308 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter12_51_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter12_51_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter12_67_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter12_67_1.png
index 379a0198a..51eceb2fa 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter12_67_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter12_67_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter13.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter13.ipynb
index 934336e1d..21ef5b16b 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter13.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter13.ipynb
@@ -60,1334 +60,25 @@
    },
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/jax/_src/lib/__init__.py:33: UserWarning: JAX on Mac ARM machines is experimental and minimally tested. Please see https://github.com/google/jax/issues/5501 in the event of problems.\n",
-      "  warnings.warn(\"JAX on Mac ARM machines is experimental and minimally tested. \"\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "filenames": {
-       "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter13_3_1.png"
-      },
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Model: \"sequential\"\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "_________________________________________________________________\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " Layer (type)                Output Shape              Param #   \n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "=================================================================\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " simple_rnn (SimpleRNN)      (None, 32)                1184      \n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                                                                 \n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " dense (Dense)               (None, 8)                 264       \n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                                                                 \n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " dense_1 (Dense)             (None, 1)                 9         \n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                                                                 \n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "=================================================================\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Total params: 1,457\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Trainable params: 1,457\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Non-trainable params: 0\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "_________________________________________________________________\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 1/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 2s - loss: 1.1810 - 2s/epoch - 33ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 2/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4703 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 3/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4379 - 303ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 4/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4275 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 5/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4224 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 6/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4224 - 308ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 7/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4212 - 308ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 8/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4198 - 308ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 9/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4198 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 10/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4177 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 11/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4186 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 12/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4176 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 13/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4167 - 303ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 14/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4143 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 15/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4128 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 16/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4144 - 324ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 17/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4146 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 18/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4131 - 303ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 19/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4117 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 20/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4115 - 319ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 21/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4100 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 22/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4088 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 23/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4089 - 303ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 24/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4082 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 25/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4084 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 26/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4068 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 27/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4075 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 28/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4055 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 29/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4069 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 30/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4048 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 31/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4038 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 32/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4059 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 33/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4039 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 34/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4045 - 320ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 35/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4030 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 36/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4012 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 37/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3994 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 38/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4027 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 39/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4011 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 40/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4017 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 41/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3996 - 303ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 42/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3996 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 43/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.4005 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 44/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3994 - 303ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 45/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3979 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 46/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3983 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 47/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3979 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 48/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3955 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 49/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3970 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 50/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3962 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 51/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3943 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 52/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3975 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 53/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3944 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 54/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3950 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 55/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3960 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 56/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3922 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 57/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3922 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 58/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3928 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 59/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3915 - 317ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 60/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3916 - 304ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 61/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3889 - 308ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 62/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3917 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 63/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3891 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 64/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3906 - 308ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 65/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3914 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 66/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3889 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 67/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3872 - 302ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 68/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3881 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 69/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3869 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 70/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3888 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 71/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3864 - 305ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 72/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3871 - 302ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 73/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3862 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 74/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3861 - 303ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 75/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3858 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 76/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3864 - 326ms/epoch - 7ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 77/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3851 - 331ms/epoch - 7ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 78/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3862 - 312ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 79/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3837 - 324ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 80/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3815 - 341ms/epoch - 7ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 81/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3838 - 306ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 82/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3834 - 307ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 83/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3830 - 311ms/epoch - 6ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 84/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "50/50 - 0s - loss: 0.3839 - 368ms/epoch - 7ms/step\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 85/100\n"
-     ]
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'flatbuffers'",
      "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     56\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msummary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     57\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 58\u001b[0;31m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainX\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mtrainY\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m16\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     59\u001b[0m \u001b[0mtrainPredict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     60\u001b[0m \u001b[0mtestPredict\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtestX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/keras/utils/traceback_utils.py\u001b[0m in \u001b[0;36merror_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     62\u001b[0m     \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     65\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# pylint: disable=broad-except\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m       \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_process_traceback_frames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__traceback__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/keras/engine/training.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[1;32m   1382\u001b[0m                 _r=1):\n\u001b[1;32m   1383\u001b[0m               \u001b[0mcallbacks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_train_batch_begin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1384\u001b[0;31m               \u001b[0mtmp_logs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1385\u001b[0m               \u001b[0;32mif\u001b[0m \u001b[0mdata_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshould_sync\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1386\u001b[0m                 \u001b[0mcontext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masync_wait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/util/traceback_utils.py\u001b[0m in \u001b[0;36merror_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    148\u001b[0m     \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    149\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 150\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    151\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    152\u001b[0m       \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_process_traceback_frames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__traceback__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/def_function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m    913\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    914\u001b[0m       \u001b[0;32mwith\u001b[0m \u001b[0mOptionalXlaContext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_jit_compile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 915\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    917\u001b[0m       \u001b[0mnew_tracing_count\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexperimental_get_tracing_count\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/def_function.py\u001b[0m in \u001b[0;36m_call\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m    945\u001b[0m       \u001b[0;31m# In this case we have created variables on the first call, so we run the\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    946\u001b[0m       \u001b[0;31m# defunned version which is guaranteed to never create variables.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 947\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stateless_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pylint: disable=not-callable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    948\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stateful_fn\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    949\u001b[0m       \u001b[0;31m# Release the lock early so that multiple threads can perform the call\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   2954\u001b[0m       (graph_function,\n\u001b[1;32m   2955\u001b[0m        filtered_flat_args) = self._maybe_define_function(args, kwargs)\n\u001b[0;32m-> 2956\u001b[0;31m     return graph_function._call_flat(\n\u001b[0m\u001b[1;32m   2957\u001b[0m         filtered_flat_args, captured_inputs=graph_function.captured_inputs)  # pylint: disable=protected-access\n\u001b[1;32m   2958\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36m_call_flat\u001b[0;34m(self, args, captured_inputs, cancellation_manager)\u001b[0m\n\u001b[1;32m   1851\u001b[0m         and executing_eagerly):\n\u001b[1;32m   1852\u001b[0m       \u001b[0;31m# No tape is watching; skip to running the function.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1853\u001b[0;31m       return self._build_call_outputs(self._inference_function.call(\n\u001b[0m\u001b[1;32m   1854\u001b[0m           ctx, args, cancellation_manager=cancellation_manager))\n\u001b[1;32m   1855\u001b[0m     forward_backward = self._select_forward_and_backward_functions(\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self, ctx, args, cancellation_manager)\u001b[0m\n\u001b[1;32m    497\u001b[0m       \u001b[0;32mwith\u001b[0m \u001b[0m_InterpolateFunctionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    498\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcancellation_manager\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 499\u001b[0;31m           outputs = execute.execute(\n\u001b[0m\u001b[1;32m    500\u001b[0m               \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msignature\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    501\u001b[0m               \u001b[0mnum_outputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_num_outputs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/python/eager/execute.py\u001b[0m in \u001b[0;36mquick_execute\u001b[0;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[1;32m     52\u001b[0m   \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     53\u001b[0m     \u001b[0mctx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mensure_initialized\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 54\u001b[0;31m     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,\n\u001b[0m\u001b[1;32m     55\u001b[0m                                         inputs, attrs, num_outputs)\n\u001b[1;32m     56\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_NotOkStatusException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Input \u001b[0;32mIn [1]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[0;32m----> 7\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mtf\u001b[39;00m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mkeras\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m datasets, layers, models\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mkeras\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlayers\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Input\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/__init__.py:51\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     49\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m autograph\n\u001b[1;32m     50\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m bitwise\n\u001b[0;32m---> 51\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compat\n\u001b[1;32m     52\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config\n\u001b[1;32m     53\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m data\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/__init__.py:37\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Compatibility functions.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \n\u001b[1;32m      5\u001b[0m \u001b[38;5;124;03mThe `tf.compat` module contains two sets of compatibility functions.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     32\u001b[0m \n\u001b[1;32m     33\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     35\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m---> 37\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v1\n\u001b[1;32m     38\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v2\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m forward_compatibility_horizon\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/__init__.py:30\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m autograph\n\u001b[1;32m     29\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m bitwise\n\u001b[0;32m---> 30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compat\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config\n\u001b[1;32m     32\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m data\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/compat/__init__.py:37\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Compatibility functions.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \n\u001b[1;32m      5\u001b[0m \u001b[38;5;124;03mThe `tf.compat` module contains two sets of compatibility functions.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     32\u001b[0m \n\u001b[1;32m     33\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     35\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m---> 37\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v1\n\u001b[1;32m     38\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v2\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m forward_compatibility_horizon\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/compat/v1/__init__.py:47\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     45\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m layers\n\u001b[1;32m     46\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m linalg\n\u001b[0;32m---> 47\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lite\n\u001b[1;32m     48\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m logging\n\u001b[1;32m     49\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lookup\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/lite/__init__.py:9\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m constants\n\u001b[0;32m----> 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m experimental\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Interpreter\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m OpHint\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/lite/experimental/__init__.py:8\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Public API for tf.lite.experimental namespace.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m authoring\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01manalyzer\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m ModelAnalyzer \u001b[38;5;28;01mas\u001b[39;00m Analyzer\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m OpResolverType\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/lite/experimental/authoring/__init__.py:8\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Public API for tf.lite.experimental.authoring namespace.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mauthoring\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mauthoring\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compatible\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/lite/python/authoring/authoring.py:43\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mfunctools\u001b[39;00m\n\u001b[1;32m     42\u001b[0m \u001b[38;5;66;03m# pylint: disable=g-import-not-at-top\u001b[39;00m\n\u001b[0;32m---> 43\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m convert\n\u001b[1;32m     44\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lite\n\u001b[1;32m     45\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m converter_error_data_pb2\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/lite/python/convert.py:29\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\n\u001b[1;32m     28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lite_constants\n\u001b[0;32m---> 29\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m util\n\u001b[1;32m     30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m wrap_toco\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mconvert_phase\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Component\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/lite/python/util.py:26\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     23\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\n\u001b[1;32m     24\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmoves\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;28mrange\u001b[39m\n\u001b[0;32m---> 26\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mflatbuffers\u001b[39;00m\n\u001b[1;32m     27\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprotobuf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config_pb2 \u001b[38;5;28;01mas\u001b[39;00m _config_pb2\n\u001b[1;32m     28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprotobuf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m graph_debug_info_pb2\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'flatbuffers'"
      ]
     }
    ],
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter1_17_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter1_17_0.png
index a06f1e3f9..3ef6ce168 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter1_17_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter1_17_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter1_19_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter1_19_1.png
index 1c9a4899a..294e0807a 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter1_19_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter1_19_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter1_33_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter1_33_0.png
index 37bbb1c40..58c2544fe 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter1_33_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter1_33_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter1_9_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter1_9_0.png
index 6b6183312..47c1974b9 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter1_9_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter1_9_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter2.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter2.ipynb
index 74ffd0a09..09a18df1c 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter2.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter2.ipynb
@@ -748,13 +748,13 @@
       " [2 4 5]\n",
       " [3 5 6]]\n",
       "test U\n",
-      "[[ 4.44089210e-16 -4.69484813e-16 -6.67314874e-16]\n",
-      " [-4.69484813e-16 -4.44089210e-16 -1.54041041e-16]\n",
-      " [-6.67314874e-16 -1.54041041e-16  1.11022302e-16]]\n",
+      "[[-2.22044605e-16 -7.49932427e-16 -8.23408962e-16]\n",
+      " [-7.49932427e-16  0.00000000e+00  4.77954956e-17]\n",
+      " [-8.23408962e-16  4.77954956e-17  2.22044605e-16]]\n",
       "test VT\n",
-      "[[ 2.22044605e-16  3.78156479e-17  1.85278920e-16]\n",
-      " [ 3.78156479e-17  0.00000000e+00 -6.33166055e-17]\n",
-      " [ 1.85278920e-16 -6.33166055e-17 -1.11022302e-16]]\n",
+      "[[ 3.33066907e-16 -7.32066545e-17  3.32714903e-16]\n",
+      " [-7.32066545e-17  0.00000000e+00 -1.82997013e-16]\n",
+      " [ 3.32714903e-16 -1.82997013e-16 -3.33066907e-16]]\n",
       "[[0. 0. 0.]\n",
       " [0. 0. 0.]\n",
       " [0. 0. 0.]]\n"
@@ -1799,10 +1799,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-0.02697521163514974\n",
-      "3.9835443722554817\n",
-      "[[ 0.98467494  3.11283168]\n",
-      " [ 3.11283168 10.68965135]]\n"
+      "0.04413933503955871\n",
+      "4.12330280229368\n",
+      "[[0.80162359 2.38222896]\n",
+      " [2.38222896 8.12167821]]\n"
      ]
     }
    ],
@@ -1846,10 +1846,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.07898165660100093\n",
-      "1.6984511994530214\n",
-      "[[1.         0.63862189]\n",
-      " [0.63862189 1.        ]]\n"
+      "0.06786925114666595\n",
+      "1.9635449873404844\n",
+      "[[1.         0.65522261]\n",
+      " [0.65522261 1.        ]]\n"
      ]
     }
    ],
@@ -1906,30 +1906,30 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 1.49901244  6.93685631]\n",
-      " [-1.07535606 -4.3823886 ]\n",
-      " [-1.23168292 -4.3014751 ]\n",
-      " [ 1.37683438  3.52093124]\n",
-      " [ 1.31424359  3.63367582]\n",
-      " [-1.15269628 -1.86879198]\n",
-      " [-0.93188452 -4.26291585]\n",
-      " [-0.66295776 -1.21924917]\n",
-      " [ 0.29883607 -0.44270138]\n",
-      " [ 0.56565106  2.38605872]]\n",
+      "[[-0.27091656 -1.29083183]\n",
+      " [ 0.31980301  0.87495119]\n",
+      " [-0.10835935  1.61413333]\n",
+      " [ 0.5188328   2.80380438]\n",
+      " [-0.04996008 -1.95742107]\n",
+      " [ 1.19432526  2.68719389]\n",
+      " [ 0.19710439  1.35590603]\n",
+      " [-0.23857423 -2.50104946]\n",
+      " [-0.94054854 -2.09034902]\n",
+      " [-0.62170669 -1.49633743]]\n",
       "          0         1\n",
-      "0  1.499012  6.936856\n",
-      "1 -1.075356 -4.382389\n",
-      "2 -1.231683 -4.301475\n",
-      "3  1.376834  3.520931\n",
-      "4  1.314244  3.633676\n",
-      "5 -1.152696 -1.868792\n",
-      "6 -0.931885 -4.262916\n",
-      "7 -0.662958 -1.219249\n",
-      "8  0.298836 -0.442701\n",
-      "9  0.565651  2.386059\n",
+      "0 -0.270917 -1.290832\n",
+      "1  0.319803  0.874951\n",
+      "2 -0.108359  1.614133\n",
+      "3  0.518833  2.803804\n",
+      "4 -0.049960 -1.957421\n",
+      "5  1.194325  2.687194\n",
+      "6  0.197104  1.355906\n",
+      "7 -0.238574 -2.501049\n",
+      "8 -0.940549 -2.090349\n",
+      "9 -0.621707 -1.496337\n",
       "          0         1\n",
-      "0  1.000000  0.946393\n",
-      "1  0.946393  1.000000\n"
+      "0  1.000000  0.800615\n",
+      "1  0.800615  1.000000\n"
      ]
     }
    ],
@@ -1975,37 +1975,37 @@
      "text": [
       "     0         1         2         3         4         5         6         7   \\\n",
       "0   0.0  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
-      "1   0.0  0.096516  0.086951  0.097634  0.093624  0.089369  0.089758  0.086888   \n",
-      "2   0.0  0.086951  0.079242  0.086994  0.083832  0.080479  0.079719  0.077419   \n",
-      "3   0.0  0.097634  0.086994  0.105161  0.100303  0.095184  0.100358  0.096893   \n",
-      "4   0.0  0.093624  0.083832  0.100303  0.095935  0.091315  0.095522  0.092409   \n",
-      "5   0.0  0.089369  0.080479  0.095184  0.091315  0.087208  0.090451  0.087689   \n",
-      "6   0.0  0.089758  0.079719  0.100358  0.095522  0.090451  0.098135  0.094657   \n",
-      "7   0.0  0.086888  0.077419  0.096893  0.092409  0.087689  0.094657  0.091440   \n",
-      "8   0.0  0.084096  0.075188  0.093497  0.089355  0.084979  0.091236  0.088271   \n",
-      "9   0.0  0.081343  0.072994  0.090128  0.086322  0.082286  0.087833  0.085113   \n",
-      "10  0.0  0.081707  0.072554  0.093593  0.089041  0.084278  0.093078  0.089775   \n",
-      "11  0.0  0.079268  0.070562  0.090694  0.086420  0.081932  0.090174  0.087081   \n",
-      "12  0.0  0.076942  0.068664  0.087910  0.083899  0.079676  0.087372  0.084477   \n",
-      "13  0.0  0.074715  0.066850  0.085224  0.081468  0.077499  0.084657  0.081953   \n",
-      "14  0.0  0.072575  0.065110  0.082620  0.079110  0.075389  0.082014  0.079493   \n",
+      "1   0.0  0.084006  0.079882  0.084682  0.084092  0.083417  0.076315  0.076097   \n",
+      "2   0.0  0.079882  0.077644  0.078542  0.078962  0.079424  0.069534  0.069977   \n",
+      "3   0.0  0.084682  0.078542  0.090649  0.088758  0.086665  0.085105  0.084008   \n",
+      "4   0.0  0.084092  0.078962  0.088758  0.087573  0.086250  0.082424  0.081832   \n",
+      "5   0.0  0.083417  0.079424  0.086665  0.086250  0.085776  0.079486  0.079438   \n",
+      "6   0.0  0.076315  0.069534  0.085105  0.082424  0.079486  0.082288  0.080588   \n",
+      "7   0.0  0.076097  0.069977  0.084008  0.081832  0.079438  0.080588  0.079264   \n",
+      "8   0.0  0.076022  0.070618  0.082990  0.081357  0.079553  0.078908  0.077986   \n",
+      "9   0.0  0.076079  0.071460  0.082027  0.080984  0.079823  0.077219  0.076729   \n",
+      "10  0.0  0.068075  0.061188  0.078143  0.075043  0.071666  0.077200  0.075149   \n",
+      "11  0.0  0.067712  0.061308  0.077144  0.074420  0.071445  0.075770  0.074006   \n",
+      "12  0.0  0.067499  0.061604  0.076264  0.073938  0.071388  0.074418  0.072955   \n",
+      "13  0.0  0.067443  0.062089  0.075498  0.073597  0.071505  0.073134  0.071991   \n",
+      "14  0.0  0.067547  0.062777  0.074845  0.073400  0.071804  0.071908  0.071106   \n",
       "\n",
       "          8         9         10        11        12        13        14  \n",
       "0   0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  \n",
-      "1   0.084096  0.081343  0.081707  0.079268  0.076942  0.074715  0.072575  \n",
-      "2   0.075188  0.072994  0.072554  0.070562  0.068664  0.066850  0.065110  \n",
-      "3   0.093497  0.090128  0.093593  0.090694  0.087910  0.085224  0.082620  \n",
-      "4   0.089355  0.086322  0.089041  0.086420  0.083899  0.081468  0.079110  \n",
-      "5   0.084979  0.082286  0.084278  0.081932  0.079676  0.077499  0.075389  \n",
-      "6   0.091236  0.087833  0.093078  0.090174  0.087372  0.084657  0.082014  \n",
-      "7   0.088271  0.085113  0.089775  0.087081  0.084477  0.081953  0.079493  \n",
-      "8   0.085345  0.082426  0.086518  0.084024  0.081613  0.079273  0.076990  \n",
-      "9   0.082426  0.079741  0.083272  0.080973  0.078749  0.076588  0.074480  \n",
-      "10  0.086518  0.083272  0.089374  0.086610  0.083935  0.081334  0.078795  \n",
-      "11  0.084024  0.080973  0.086610  0.084017  0.081503  0.079056  0.076665  \n",
-      "12  0.081613  0.078749  0.083935  0.081503  0.079142  0.076843  0.074592  \n",
-      "13  0.079273  0.076588  0.081334  0.079056  0.076843  0.074684  0.072569  \n",
-      "14  0.076990  0.074480  0.078795  0.076665  0.074592  0.072569  0.070585  \n"
+      "1   0.076022  0.076079  0.068075  0.067712  0.067499  0.067443  0.067547  \n",
+      "2   0.070618  0.071460  0.061188  0.061308  0.061604  0.062089  0.062777  \n",
+      "3   0.082990  0.082027  0.078143  0.077144  0.076264  0.075498  0.074845  \n",
+      "4   0.081357  0.080984  0.075043  0.074420  0.073938  0.073597  0.073400  \n",
+      "5   0.079553  0.079823  0.071666  0.071445  0.071388  0.071505  0.071804  \n",
+      "6   0.078908  0.077219  0.077200  0.075770  0.074418  0.073134  0.071908  \n",
+      "7   0.077986  0.076729  0.075149  0.074006  0.072955  0.071991  0.071106  \n",
+      "8   0.077140  0.076349  0.073080  0.072240  0.071510  0.070887  0.070370  \n",
+      "9   0.076349  0.076066  0.070961  0.070443  0.070056  0.069801  0.069681  \n",
+      "10  0.073080  0.070961  0.073601  0.071922  0.070288  0.068689  0.067110  \n",
+      "11  0.072240  0.070443  0.071922  0.070466  0.069065  0.067709  0.066388  \n",
+      "12  0.071510  0.070056  0.070288  0.069065  0.067907  0.066808  0.065761  \n",
+      "13  0.070887  0.069801  0.068689  0.067709  0.066808  0.065983  0.065228  \n",
+      "14  0.070370  0.069681  0.067110  0.066388  0.065761  0.065228  0.064787  \n"
      ]
     }
    ],
@@ -3565,16 +3565,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAioAAAGwCAYAAACHJU4LAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAABB20lEQVR4nO3deZzN9eLH8feZMftmGWsGQ91EWUO2K9m3pFJXspYSiaSkbpKrO3FLXXWLUihl0qLSL2shRbYQspTIFCLLzNhmzMz398e3mXHMYmacmc9ZXs/H4/s4y3zOOe8zxpz3fJfP12FZliUAAAA35Gc6AAAAQF4oKgAAwG1RVAAAgNuiqAAAALdFUQEAAG6LogIAANwWRQUAALitUqYDXI6MjAwdPHhQERERcjgcpuMAAIACsCxLycnJqlKlivz88l9n4tFF5eDBg4qJiTEdAwAAFEFCQoKqVq2a7xiPLioRERGS7DcaGRlpOA0AACiIpKQkxcTEZH2O58eji0rm5p7IyEiKCgAAHqYgu22wMy0AAHBbFBUAAOC2KCoAAMBtefQ+KgWVnp6u8+fPm44BHxMQECB/f3/TMQDAo3l1UbEsS4cPH9bJkydNR4GPKl26tCpVqsQ8PwBQRF5dVDJLSoUKFRQaGsqHBUqMZVk6c+aMjhw5IkmqXLmy4UQA4Jm8tqikp6dnlZRy5cqZjgMfFBISIkk6cuSIKlSowGYgACgCr92ZNnOflNDQUMNJ4Msyf/7YRwoAisZri0omNvfAJH7+AODyeH1RAQAAnouiAgAA3BZFBZdl//79cjgc2rJlS55jVq5cKYfD4ZGHiQ8cOFC33HKL6RgA4LMoKm5o4MCBcjgcGjp0aI6vDRs2TA6HQwMHDsy678iRI7r//vtVrVo1BQUFqVKlSurUqZPWrl2bNaZGjRpyOBw5lueeey7PHDfeeGPWuMDAQNWqVUvjxo1TSkpK1piYmBgdOnRI1157rWvefBHl9f4ylxtvvLFIz/vf//5Xs2fPdmlWADDOsqTz56Vz56TTp6XEROn4cenoUSk11XmcYV57eLKni4mJUXx8vF588cWsw1zPnTunefPmqVq1ak5jb7vtNp0/f15z5sxRzZo19ccff+jLL7/U8ePHncZNnDhRQ4YMcbrvUqfYHjJkiCZOnKjU1FRt2LBBgwYNkiTFxcVJkvz9/VWpUqXLeq+usGHDBqWnp0uS1qxZo9tuu027d+/OOqt2YGCg0/jz588rICDgks8bFRXl+rAAfNv581JSkr2cOmUXhVOn7KVTJ+mv3/lavlxavdouExcvKSnSK69IVavaY2fMkKZPt0vG+fM5ly+/lBo2tMdOmSKNHZt3vhUrpMw/7tLSpAL8rixOvllUTp/O+2v+/lJwcMHG+vll/0DlNTYsrPD5JDVq1Ei//PKLPv74Y/Xt21eS9PHHHysmJkY1a9bMGnfy5El98803Wrlypdq0aSNJql69upo2bZrjOSMiIgpdKkJDQ7MeU61aNb333ntaunRpVlHZv3+/YmNjtXnzZjVo0ECS9MUXX2jUqFFKSEjQDTfcoAEDBuR43jfeeEMTJ07UsWPH1KlTJ7Vu3VoTJ0502jy0cOFCTZgwQTt27FCVKlU0YMAAPfnkkypVKuePbfny5bOuly1bVpJUoUIFlS5dWpJ99M1rr72mRYsWafny5RozZozGjx+v++67T1999ZUOHz6satWqadiwYRo5cmTWcw0cOFAnT57UJ598Isley1SvXj0FBwdr5syZCgwM1NChQzVhwoRCfV8BeJG9e+3l6FHpzz+zlxMn7OWDD6S//mjSiBF2wcjLL79IsbH29eXLpcmT8x47cWJ2UTlyRMpnE7zOncu+fqk5nf76o0+S5AZHLvpmUQkPz/trXbtK//d/2bcrVJDOnMl9bJs20sqV2bdr1LB/OC90GavNBg0apFmzZmUVlbfeekuDBw/WygteMzw8XOHh4frkk090ww03KCgoqMivdylbt27Vt99+qxo1auQ5JiEhQbfeequGDh2qBx54QBs3btQjjzziNObbb7/V0KFDNXnyZN18881avny5nnrqKacxS5Ys0d13361p06apdevW2rt3r+677z5J0tNPP12k/E8//bTi4uL04osvyt/fXxkZGapatarmz5+v6OhorVmzRvfdd58qV66sO+64I8/nmTNnjkaPHq1169Zp7dq1GjhwoFq2bKkOHToUKRcAN5SRIR06ZBeQX3+VEhKyl99+k775JvuzJC5OevPNvJ/r2LHsonLh3F4hIVJEhP0HbXh4zj9smzeXHnjAHhccnL0EBdlLlSrZY/v0kZo2lQID7TUgFy6lStmfT5mGDpUGDLALS26L3wV7heTyh2GJszxYYmKiJclKTEzM8bWzZ89aP/74o3X27NmcD7TrQ+5L167OY0ND8x7bpo3z2OjonGOKYMCAAVbPnj2to0ePWkFBQda+ffus/fv3W8HBwdbRo0etnj17WgMGDMga/+GHH1plypSxgoODrRYtWljjxo2ztm7d6vSc1atXtwIDA62wsDCnZcWKFXnmaNOmjRUQEGCFhYVZgYGBliTLz8/P+vDDD7PG7Nu3z5Jkbd682bIsyxo3bpx1zTXXWBkZGVljxo4da0myTpw4YVmWZd15551Wt27dnF6rb9++VlRUVNbt1q1bW//+97+dxrzzzjtW5cqVL/n9W7FihdPrWZZlSbJGjRp1yccOGzbMuu2227JuZ/5bZGrTpo3VqlUrp8c0adLEGjt2bK7Pl+/PIQDzEhMt67vvLOuttyzr/Pns+wcPzv+z4uefs8dOmWJZ9epZVrt2lnXnnZY1fLhljR9vWS+9ZFmzZ1vWyZPOr3f8uPNr+aD8Pr8v5gZVyYBTp/L+2sWrxP46V0uu/C7aF3n//iJHyk10dLS6deumOXPmyLIsdevWTdHR0TnG3XbbberWrZtWr16ttWvXavHixZoyZYpmzpzptNPto48+6nRbkq644op8M/Tt21dPPvmkkpKSNHnyZEVGRuq2227Lc/zOnTt1ww03OE101rx5c6cxu3fvVq9evZzua9q0qT7//POs25s2bdKGDRv07LPPZt2Xnp6uc+fO6cyZM0Wacfj666/Pcd/06dM1c+ZM/frrrzp79qxSU1OzNmHlpV69ek63K1eunHVOHwBu7MgRaf16adMm6fvvpc2b7TUkmVq1kq66yr5evbr9eVC9ur02olo1KSbGXqpWlSpWzH7co4/aS0FkrllBgflmUSnMfiPFNbaABg8erAcffFCS9L///S/PccHBwerQoYM6dOig8ePH695779XTTz/tVEyio6N15ZVXFur1o6Kish4zd+5c1a1bV2+++abuueeeXMdbBdjUZVlWjhlbL35cRkaGnnnmGd166605Hh984T5EhRB20b/P/Pnz9fDDD+uFF15Q8+bNFRERof/85z9at25dvs9z8U64DodDGRkZRcoEoJhkZEjbt0u1amX/bp42Tbrgj58sVapIdeo478cxZoz0xBPusenDx/Ev4OY6d+6s1L8OFevUqVOBH1enTp2sHUBdJSAgQE888YTGjRunPn365LpWI7fX/e6775xu165dW+vXr3e6b+PGjU63GzVqpN27dxe6WBXG6tWr1aJFCw0bNizrvr179xbb6wEoZr//Li1ZIi1ebO+IeuKEtGiR1Lmz/fWmTaW6daVGjaTGje3L666T/trp3gnniXMbFBU35+/vr507d2Zdv9ixY8fUu3dvDR48WPXq1VNERIQ2btyoKVOmqGfPnk5jk5OTdfjwYaf7QkNDsw7hLYi77rpLTzzxhF599VWNGTMmx9eHDh2qF154QaNHj9b999+vTZs25ZiHZMSIEfr73/+uqVOnqkePHvrqq6+0aNEip7Us48ePV/fu3RUTE6PevXvLz89PP/zwg7Zt26ZJkyYVOG9+rrzySr399ttasmSJYmNj9c4772jDhg2KzdzjHoD7S0iQXntN+vxzads256+FhUkHD2bfvvlme4FHYcI3DxAZGZlnmQgPD1ezZs304osv6u9//7uuvfZaPfXUUxoyZIheuegQuPHjx6ty5cpOy2OPPVaoLIGBgXrwwQc1ZcoUncplX59q1arpo48+0sKFC1W/fn1Nnz5d//73v53GtGzZUtOnT9fUqVNVv359LV68WA8//LDTJp1OnTrp888/17Jly9SkSRPdcMMNmjp1qqpXr16ovPkZOnSobr31Vt15551q1qyZjh075rR2BYCbOns2+/qxY/ZRN9u22YfSNmsmTZggrV0rnTwpDR5sKiVcxGEVZKcCN5WUlKSoqCglJibm+CA/d+6c9u3bp9jY2CLv04CSM2TIEO3atUurV682HcWl+DkEXOTUKSk+3p7UrE4d6e237fstS3rwQallS3uytHLlzOZEgeT3+X0xNv3AiOeff14dOnRQWFiYFi1apDlz5ujVV181HQuAu9m2zd60M3eulJxs33fggD0pmb+/vRYlnwMN4PkoKjBi/fr1mjJlipKTk1WzZk1NmzZN9957r+lYANzFunXSv/7lPAHnVVdJ990nDRx46dlV4TUoKjBi/vz5piMAcGcLF9olxc9PuvVWe4bWtm3dYkp3lCyvLyoevAsOvAA/f0ABbd1qryXJPBP7qFH2uXPGjMmehA0+yWuP+smclOtMXufpAUpA5s9fQc7UDPikI0fszTkNG9rnoMks99HR9hmBKSk+z2vXqPj7+6t06dJZU5uHhobmmA0VKC6WZenMmTM6cuSISpcunescOIBPS0uTXnrJPgNw5k6yV1xhn4U+vxPHwud4bVGRpEqVKkkS52GBMaVLl876OQTwl5077bP3bthg327c2C4trVoZjQX35NVFxeFwqHLlyqpQoYLOnz9vOg58TEBAAGtSgIutWye1aSOlpEhRUdLUqfZRPBef5BX4i1cXlUz+/v58YACAO2jc2D6/TnS0NHOmvbkHyIdPFBUAgEFr10pNmthnIi5Vyj5xYJkyHGqMAmFdGwCgeFiW9Nxz9vT2jz+efX/ZspQUFBhrVAAArnf6tH1CwMzJHRMTpYwM9kVBoVFUAACu9dtvUrdu0g8/SAEB0rRp0v33sxYFRUJRAQC4zs8/S+3bS7/+KlWsKH30kb3pBygiigoAwDVSUqQOHeySctVV0rJlUvXqplPBw7GxEADgGkFB9sRtjRpJq1dTUuASFBUAwOW58OSbPXtK69fbm30AF6CoAACK7vvv7Unc9u7Nvo8JNuFCFBUAQNHs3St16SJt3iw9+aTpNPBSFBUAQOEdOSJ17mxf1q8vvf666UTwUhQVAEDhJCdLXbvahyLXqCEtWiRFRppOBS9ltKgkJydr1KhRql69ukJCQtSiRQttyDztNwDA/aSmSrffLm3aZJ9YcMkSqXJl06ngxYwWlXvvvVfLli3TO++8o23btqljx45q3769fv/9d5OxAAB5mTBBWrpUCg2VvvhC+tvfTCeCl3NY1oXHlZWcs2fPKiIiQp9++qm6deuWdX+DBg3UvXt3TZo0KcdjUlJSlJKSknU7KSlJMTExSkxMVCSrHQGg+B0+LN11l/Tww1KPHqbTwEMlJSUpKiqqQJ/fxtaopKWlKT09XcHBwU73h4SE6Jtvvsn1MXFxcYqKispaYmJiSiIqACBTpUrSl19SUlBijBWViIgINW/eXP/617908OBBpaena+7cuVq3bp0OHTqU62PGjRunxMTErCUhIaGEUwOAD0pOlj75JPs2JxdECTK6j8o777wjy7J0xRVXKCgoSNOmTdNdd90l/zwmCwoKClJkZKTTAgAoRpYl3XOP1KuXNHGi6TTwQUaLSq1atbRq1SqdOnVKCQkJWr9+vc6fP6/Y2FiTsQAAmaZNkz74QCpVyj7hIFDC3GIelbCwMFWuXFknTpzQkiVL1LNnT9ORAADbt0uPPmpff+EFqXlzs3ngk0qZfPElS5bIsixdffXV+vnnn/Xoo4/q6quv1qBBg0zGAgCkpUkDB0rnz9s7zo4YYToRfJTRNSqJiYkaPny4ateurf79+6tVq1ZaunSpAgICTMYCAPznP/akbqVLSzNmsAMtjDE2j4orFOY4bABAAf3+u1Szpj0L7dtvS/36mU4EL1OYz2+jm34AAG7oiiukDz+UPvtMuvtu02ng4ygqAICcevRgUje4Bbc46gcA4AZ++UXKY8JNwBSKCgDAnthtyBCpTh17inzATbDpBwAgffqp9NVXUlCQVKuW6TRAFtaoAICvS0mRHnnEvj5mjFSjhtE4wIUoKgDg6156yd4/pXJl6fHHTacBnFBUAMCXHTokTZpkX3/uOSk83Gwe4CIUFQDwZU8+KZ06JTVtypwpcEsUFQDwVZYlhYZK/v725h8/PhLgfvipBABf5XBIr7wi7d/PmZHhtigqAODrqlY1nQDIE0UFAHyNZUljx0rbtplOAlwSRQUAfM3nn0tTpkgtW0rJyabTAPmiqACAL7EsacIE+/qwYVJEhNE4wKVQVADAlyxcKH3/vRQWZs9CC7g5igoA+IoL16aMGCFFRxuNAxQERQUAfMWnn0qbN9uzz7I2BR6CogIAvsCypGeesa8/9JBUrpzZPEABlTIdAABQAtLS7CnyT53KPlMy4AFYowIAviAgwC4ou3dLZcuaTgMUGEUFAHwJ5/OBh+EnFgC83fjx0gcf2Jt/AA/DPioA4M327ZOefVbKyJB27JDq1DGdCCgU1qgAgDebNs0uKZ06UVLgkSgqAOCtEhOlmTPt6w8/bDYLUEQUFQDwVm++aR+OXKeO1LGj6TRAkVBUAMAbpaVJ//2vff3hhyWHw2weoIgoKgDgjRYskA4ckMqXl/r2NZ0GKDKO+gEAbxQdLbVoIbVvL4WEmE4DFBlFBQC8Udu20rffMncKPB6bfgDAm5Xi71F4NooKAHiTU6ekqVOlo0dNJwFcgqICAN4kPt4++eBNN5lOArgERQUAvMkbb9iX/fubzQG4CEUFALzF1q3S+vVSQIA0YIDpNIBLUFQAwFtkrk255RapQgWjUQBXoagAgDc4c0aaO9e+PmSI2SyAC1FUAMAbfPihfRLC2FipXTvTaQCXMVpU0tLS9M9//lOxsbEKCQlRzZo1NXHiRGVkZJiMBQCe59df7X1T7rlH8uNvUHgPozMBTZ48WdOnT9ecOXNUt25dbdy4UYMGDVJUVJRGjhxpMhoAeJannpIeeEDy9zedBHApo0Vl7dq16tmzp7p16yZJqlGjhubNm6eNGzeajAUAnik62nQCwOWMrh9s1aqVvvzyS+3Zs0eStHXrVn3zzTfq2rVrruNTUlKUlJTktACAT0tLk37+2XQKoNgYLSpjx45Vnz59VLt2bQUEBKhhw4YaNWqU+vTpk+v4uLg4RUVFZS0xMTElnBgA3MyXX0pXXSX16GE6CVAsjBaV999/X3PnztV7772n77//XnPmzNHzzz+vOXPm5Dp+3LhxSkxMzFoSEhJKODEAuJl337Uvq1UzmwMoJg7LsixTLx4TE6PHH39cw4cPz7pv0qRJmjt3rnbt2nXJxyclJSkqKkqJiYmKjIwszqgA4H5On5YqVbJPRPjtt1KLFqYTAQVSmM9vo2tUzpw5I7+LDqPz9/fn8GQAKIjPPrNLSmys1Ly56TRAsTB61E+PHj307LPPqlq1aqpbt642b96sqVOnavDgwSZjAYBnyNzs07ev5HCYzQIUE6ObfpKTk/XUU09pwYIFOnLkiKpUqaI+ffpo/PjxCgwMvOTj2fQDwGf9+adUubJ91M/OnVLt2qYTAQVWmM9vo0XlclFUAPis116Thg2TGjWSNm0ynQYolMJ8fhvd9AMAKKKBA6Vy5aTgYNNJgGJFUQEATxQSIt1xh+kUQLHjzFUAAMBtUVQAwJNYltSzpzRpknTypOk0QLGjqACAJ9m82Z4/5dlnOSQZPoGiAgCe5IMP7Mtu3aSoKLNZgBJAUQEAT2FZ0kcf2ddvv91sFqCEUFQAwFNs3y799JMUFGSvUQF8AEUFADzFhx/al506SRERZrMAJYSiAgCeInOzz223mc0BlCCKCgB4gnPnpIYNpehoqUcP02mAEsPMtADgCYKDpXfekdLTJX9/02mAEsMaFQDwJJQU+BiKCgC4uyNHpK1b7cOTAR9DUQEAd/f221KDBlL//qaTACWOogIA7i7zsOTmzc3mAAygqACAO/vtN2ndOvu8Pr16mU4DlDiKCgC4s48/ti9btpQqVzabBTCAogIA7oxJ3uDjKCoA4K6OHZO++ca+zmYf+CiKCgC4q0WLpIwMqV49qXp102kAI5iZFgDcVe/eUoUKUmqq6SSAMRQVAHBXQUFSx46mUwBGsekHAAC4LYoKALijyZOlMWOknTtNJwGMYtMPALgby5KmT5f275dat5auucZ0IsAY1qgAgLvZscMuKUFBUvv2ptMARlFUAMDdfPaZfdmunRQWZjYLYBhFBQDczcKF9uXNN5vNAbgBigoAuJMjR+yTEEpS9+5mswBugKICAO7k//7P3pm2USPpiitMpwGMo6gAgDtJSbHPktyjh+kkgFtwWJZlmQ5RVElJSYqKilJiYqIiIyNNxwEA18jIsAtLSIjpJECxKMznN2tUAMDd+PlRUoC/UFQAwF389pu9NgVAFooKALiLG2+UKlaUNm0ynQRwG0yhDwDu4KefpL17pYAA6W9/M50GcBusUQEAd7BokX3ZurUUEWE2C+BGKCoA4A4yi0rnzmZzAG6GogIApp09K61caV/v0sVoFMDdGC0qNWrUkMPhyLEMHz7cZCwAKFmrVknnzklVq0p165pOA7gVozvTbtiwQenp6Vm3t2/frg4dOqh3794GUwFACcvc7NOli+RwmM0CuBmjRaV8+fJOt5977jnVqlVLbdq0yXV8SkqKUlJSsm4nJSUVaz4AKBH9+klhYVKHDqaTAG7HbQ5PTk1N1dy5czV69Gg58viLIi4uTs8880wJJwOAYnb99fYCIAe3OdfP/Pnzddddd+nAgQOqUqVKrmNyW6MSExPDuX4AAPAghTnXj9usUXnzzTfVpUuXPEuKJAUFBSkoKKgEUwFAMXvtNSkmRmrXjvP7ALlwi6Ly66+/avny5fr4449NRwGAknPunPTII/bhyVu2SPXrm04EuB23mEdl1qxZqlChgrp162Y6CgCUnK+/tktKlSpSvXqm0wBuyXhRycjI0KxZszRgwACVKuUWK3gAoGRcOBsthyUDuTJeVJYvX64DBw5o8ODBpqMAQMm6cP4UALkyvgqjY8eOcpMDjwCg5Pz6q7R7t+TvL7VvbzoN4LaMr1EBAJ+0bJl92ayZVLq00SiAO6OoAIAJGzfalx07ms0BuDnjm34AwCe99pp9aHJYmOkkgFujqACACQ6HdNVVplMAbo9NPwAAwG1RVACgpPXsKd1+u/Tjj6aTAG6PogIAJSk5WfriC+mjj6TgYNNpALdHUQGAkrRypZSWJtWqJdWsaToN4PYoKgBQkpYutS85LBkoEIoKAJQkigpQKBQVACgp+/dLe/bY0+a3bWs6DeARKCoAUFIyp82/4QYpKspsFsBDUFQAoKSULi01b87ZkoFCYGZaACgpvXvbC2eMBwqMNSoAUNIcDtMJAI9BUQGAkrBnj3TypOkUgMcpVFGZMmWKzp49m3X766+/VkpKStbt5ORkDRs2zHXpAMBbDBkilStnz0gLoMAcllXwjaX+/v46dOiQKlSoIEmKjIzUli1bVPOv2RX/+OMPValSRenp6cWT9iJJSUmKiopSYmKiIiMjS+Q1AaDQTp2SypaVzp+Xfv7ZnpUW8GGF+fwu1BqViztNIToOAPiu1avtklKjBtPmA4XEPioAUNwy50/p0IEdaYFCoqgAQHFbvty+bN/ebA7AAxV6HpWZM2cqPDxckpSWlqbZs2crOjpakr0zLQDgAocPS9u22WtSbrrJdBrA4xSqqFSrVk1vvPFG1u1KlSrpnXfeyTEGAPCXL7+0Lxs2lP76ow5AwRWqqOzfv7+YYgCAl2rbVpo+XfprTTSAwmEKfQAoTlWqSPffbzoF4LEKtTPtunXrtGjRIqf73n77bcXGxqpChQq67777nCaAAwAAuByFKioTJkzQDz/8kHV727Ztuueee9S+fXs9/vjjWrhwoeLi4lweEgA80hdfSP/7n8Rmc6DIClVUtmzZonbt2mXdjo+PV7NmzfTGG29o9OjRmjZtmubPn+/ykADgkWbMkB58UIqPN50E8FiFKionTpxQxYoVs26vWrVKnTt3zrrdpEkTJSQkuC4dAHiq8+elFSvs6x06mM0CeLBCFZWKFStq3759kqTU1FR9//33at68edbXk5OTFRAQ4NqEAOCJNmyQkpPtc/w0aGA6DeCxClVUOnfurMcff1yrV6/WuHHjFBoaqtatW2d9/YcfflAtTrYFANmz0d50k+TvbzYL4MEKdXjypEmTdOutt6pNmzYKDw/X7NmzFRgYmPX1t956Sx07dnR5SADwOBee3wdAkTmsIpwCOTExUeHh4fK/6K+E48ePKyIiosQ2/xTmNNEAUGIyN/mkpUl793LGZOAihfn8LtQalcGDBxdo3FtvvVWYpwUA75I5jUNsLCUFuEyFKiqzZ89W9erV1bBhQxVhRQwA+IaWLaXjx5k/BXCBQhWVoUOHKj4+Xr/88osGDx6su+++W2XLli2ubADguSIipOuuM50C8HiFOurn1Vdf1aFDhzR27FgtXLhQMTExuuOOO7RkyRLWsAAAAJcrVFGRpKCgIPXp00fLli3Tjz/+qLp162rYsGGqXr26Tp06VRwZAcBzzJsnNW1qnzEZwGUrdFG5kMPhkMPhkGVZysjIcFUmAPBcS5bYk72xfwrgEoUuKikpKZo3b546dOigq6++Wtu2bdMrr7yiAwcOKDw8vNABfv/9d919990qV66cQkND1aBBA23atKnQzwMAxllW9kRv7dubzQJ4iULtTDts2DDFx8erWrVqGjRokOLj41WuXLkiv/iJEyfUsmVLtW3bVosWLVKFChW0d+9elS5dusjPCQDG7N4t/f67FBRkH/kD4LIVqqhMnz5d1apVU2xsrFatWqVVq1blOu7jjz8u0PNNnjxZMTExmjVrVtZ9NWrUKEwkAHAfmWtTWrWSQkLMZgG8RKGKSv/+/eVwOFz24p999pk6deqk3r17a9WqVbriiis0bNgwDRkyJNfxKSkpSklJybqdlJTksiwAcNkyiwrT5gMuU6Qp9F0lODhYkjR69Gj17t1b69ev16hRozRjxgz1798/x/gJEybomWeeyXE/U+gDMC4tTSpXTkpKkjZulBo3Np0IcFuFmULfaFEJDAzU9ddfrzVr1mTd99BDD2nDhg1au3ZtjvG5rVGJiYmhqAAw788/pQcflLZskXbs4IzJQD6K7Vw/rla5cmXVqVPH6b5rrrlGH330Ua7jg4KCFBQUVBLRAKBwoqOl+Hj7yB8XbiIHfN1lzaNyuVq2bKndu3c73bdnzx5Vr17dUCIAuEyUFMCljBaVhx9+WN99953+/e9/6+eff9Z7772n119/XcOHDzcZCwAK5+xZ6ccf7bUpAFzKaFFp0qSJFixYoHnz5unaa6/Vv/71L7300kvq27evyVgAUDgrVkh16zJ3ClAMjO6jIkndu3dX9+7dTccAgKJbtsy+rFvXbA7ACxldowIAXiGzqDBtPuByFBUAuBwHD9qHIzscFBWgGFBUAOByZK5NadzYnvANgEtRVADgcmQWFabNB4oFRQUAiiojI/v8Ph07ms0CeCnjR/0AgMeyLGn2bLusNG9uOg3glSgqAFBU/v5S5872AqBYsOkHAAC4LYoKABTFuXPS44/bO9NmZJhOA3gtigoAFMU330iTJ0sDB3IiQqAYUVQAoCguPCyZogIUG4oKABTF0qX2JYclA8WKogIAhXXkiLRli32dafOBYkVRAYDCypzkrUEDqUIFo1EAb0dRAYDCYtp8oMRQVACgsLZtsy/ZPwUodsxMCwCFtWGDXVb+9jfTSQCvR1EBgMJyOKR69UynAHwCm34AoDAsy3QCwKdQVACgoE6flqpXl/r1s68DKHYUFQAoqJUrpYQEafVqKTTUdBrAJ1BUAKCgFi+2Lzt3Ztp8oIRQVACgoC4sKgBKBEUFAAri55/tpVQp6aabTKcBfAZFBQAKYskS+7JlSyky0mwWwIdQVACgIDI3+3TpYjYH4GOY8A0ACqJpU/uIH/ZPAUqUw7I8d/aipKQkRUVFKTExUZGsigUAwCMU5vObTT8AAMBtUVQA4FK++oqZaAFDKCoAkJ+EBKldO6lCBenUKdNpAJ9DUQGA/GQellyvnhQebjYL4IMoKgCQH2ajBYyiqABAXlJTpaVL7evMnwIYQVEBgLx8/bWUnCxVqiRdf73pNIBPoqgAQF4+/9y+7NZN8uPXJWAC//MAIDeWJS1caF/v3t1sFsCHMYU+AOTG4ZAWLbLXqrRvbzoN4LMoKgCQl7/9TRo92nQKwKcZ3fQzYcIEORwOp6VSpUomIwEAADdifB+VunXr6tChQ1nLtm3bTEcC4OuOH5duv12aPdveVwWAMcY3/ZQqVYq1KADcy6JF0kcfSXv2SAMHmk4D+DTja1R++uknValSRbGxsfrHP/6hX375Jc+xKSkpSkpKcloAwOUyD0vmaB/AOKNFpVmzZnr77be1ZMkSvfHGGzp8+LBatGihY8eO5To+Li5OUVFRWUtMTEwJJwbg9c6fz542v0cPs1kAyGFZ7rMB9vTp06pVq5Yee+wxjc5lT/uUlBSlpKRk3U5KSlJMTIwSExMVGRlZklEBeKuVK6W2baXoaOnwYcnf33QiwOskJSUpKiqqQJ/fxvdRuVBYWJiuu+46/fTTT7l+PSgoSEFBQSWcCoBPydzs07UrJQVwA8b3UblQSkqKdu7cqcqVK5uOAsBXZRYVNvsAbsFoURkzZoxWrVqlffv2ad26dbr99tuVlJSkAQMGmIwFwFclJ0tly0pBQVLHjqbTAJDhTT+//fab+vTpoz///FPly5fXDTfcoO+++07Vq1c3GQuAr4qIkNaskZKSJPZ7A9yC0aISHx9v8uUBIHeUFMBtuNU+KgBgTFKSlMfUCADMoagAgCTNmSNVrMhJCAE3Q1EBAMmeMj89XWIiScCtUFQA4MgRafVq+3qvXmazAHBCUQGATz+VMjKkxo2lGjVMpwFwAYoKAHz8sX15661mcwDIgaICwLedPCl9+aV9/bbbjEYBkBNFBYBv+/xz+4zJdepIV19tOg2Ai7jVSQkBoMR16iTNmCGFhppOAiAXFBUAvq18eem++0ynAJAHNv0AAAC3xRoVAL4rLs4+EeE//iFFR5tOAyAXFBUAvun0aenZZ+3Lxo0pKoCbYtMPAN+0cKFdUmJjpRtuMJ0GQB4oKgB807vv2pd33SU5HGazAMgTRQWA7zl2TFq82L7et6/ZLADyRVEB4Hs++EBKS5MaNJCuucZ0GgD5oKgA8D2Zm31YmwK4PYoKAN9y/rxUpowUGGgflgzArXF4MgDfEhAgffaZlJQkRUaaTgPgElijAsA3UVIAj0BRAeA7Dh6U9u0znQJAIVBUAPiOadOkmjWlceNMJwFQQBQVAL4hI0N67z37euPGZrMAKDCKCgDf8M03UkKCvW9K9+6m0wAoIIoKAN/w1lv25e23S8HBZrMAKDCKCgDvd/KkNH++ff3ee41GAVA4FBUA3u/dd6WzZ6Vrr+VMyYCHoagA8H6Za1OGDOFMyYCHYWZaAN5v0SLpww/ZiRbwQBQVAN4vNFTq3990CgBFwKYfAN4rLU2yLNMpAFwGigoA7/XWW1KdOtI775hOAqCIKCoAvNcbb0i7dklHjphOAqCIKCoAvNP330sbN0oBAeyfAngwigoA7/TGG/blrbdK5cubzQKgyCgqALxPYqI9yZtkz50CwGNRVAB4n5kzpeRk6ZprpLZtTacBcBkoKgC8S1qa9N//2tdHj5b8+DUHeDL+BwPwLv7+9maffv2ku+82nQbAZXKbohIXFyeHw6FRo0aZjgLAkzkcUuvW0ttvS8HBptMAuExuUVQ2bNig119/XfXq1TMdBQAAuBHjReXUqVPq27ev3njjDZUpUybfsSkpKUpKSnJaACBL377Sww9Lhw6ZTgLARYwXleHDh6tbt25q3779JcfGxcUpKioqa4mJiSmBhAA8wq5d0nvv2TvS8kcM4DWMFpX4+Hh9//33iouLK9D4cePGKTExMWtJSEgo5oQAPMaLL9qXPXpIV19tNgsAlyll6oUTEhI0cuRILV26VMEF3OEtKChIQUFBxZwMgMc5etTeeVaSHnnEbBYALmWsqGzatElHjhxR48aNs+5LT0/X119/rVdeeUUpKSny9/c3FQ+AJ5k2TTp3TmrSxD7iB4DXMFZU2rVrp23btjndN2jQINWuXVtjx46lpAAomKNHpZdesq8//rh9eDIAr2GsqEREROjaa691ui8sLEzlypXLcT8A5On556VTp6TGjaVevUynAeBixooKALjEww/bm326dWNtCuCFHJZlWaZDFFVSUpKioqKUmJioyMhI03EAAEABFObz2/g8KgBQJKmpphMAKAEUFQCe6f77pc6dpe3bTScBUIwoKgA8z65d9rwpS5ZIZ86YTgOgGFFUAHiep5+WMjKkm2+WmjY1nQZAMaKoAPAsa9ZI8+fb1ydONJsFQLGjqADwHGlp0gMP2NcHDZLq1zebB0Cxo6gA8Bz/+5/0ww9SmTLS5Mmm0wAoARQVAJ7BsqT337evx8VJ5cubzQOgRDAzLQDP4HBIK1dKc+dKAwaYTgOghFBUAHiOwEBp8GDTKQCUIDb9AHBvqanSa68xEy3goygqANzb889Lw4ZJHTva+6kA8CkUFQDua8MGe3I3SbrnHs6ODPggigoA95ScLN11lz13Su/e0t13m04EwACKCgD39NBD0s8/SzEx0owZrE0BfBRFBYD7iY+XZs+W/Pykd9+1J3gD4JMoKgDcS2qq9Nhj9vUnn5RatzabB4BRFBUA7iUwUFqxwj6nz/jxptMAMIwJ3wC4n1q1pFdfNZ0CgBtgjQoA9/DCC9Lnn5tOAcDNsEYFgHnz5kljxtg7z27dKl17relEANwEa1QAmPXNN9LAgfb1UaMoKQCcUFQAmPPTT1LPnvaRPr16Sf/5j+lEANwMRQWAGbt2SW3bSsePS02bSnPn2pt+AOAC7KMCoOT9/rv0979LR49K11wjffaZFBpqOhUAN8SfLwBKXpUq0u23S40aSV9/LVWsaDoRADfFGhUAJc/hkF55RTpzRgoPN50GgBtjjQqAkvHWW/ZZkM+ft2/7+VFSAFwSa1QAFK8zZ6Thw+2TDEr2uXseeshoJACeg6ICoPjs2WPvi7Jtm70GZdIk6cEHTacC4EEoKgBcz7Kk996zTyyYnCxVqCDFx9uHIwNAIbCPCgDXe/JJ6e677ZLSurW0eTMlBUCRUFQAuF7//lJkpDRxovTVV/bhyABQBGz6AXB5UlPtWWUPHpT++U/7vtq1pYQEu6wAwGWgqAAomjNnpJkz7fPz/PabPTdKly5S48b21ykpAFyAogKgcH75RZozR3r1VenPP+37KleWxoyx16QAgAtRVAAU3P/9n9S9e/bt2Fhp7FhpwAApONhcLgBei6ICICfLsudAWbxYKlPG3jlWktq0kSIipBtukAYNsmeaLcWvEQDFh98wAKS0NGnHDmn9emndOunLL6X9++2vNWqUXVTCw+39Udj/BEAJMXp48muvvaZ69eopMjJSkZGRat68uRYtWmQyEuDdLMs+Gue775zvr19fatBAuu8+6c037ZISGCi1by/17Ws/LhMlBUAJMrpGpWrVqnruued05ZVXSpLmzJmjnj17avPmzapbt67JaIBnSUuzJ1crUyb7vk8/tSdaO3DAXhIS7Mtz5+zNN4mJ9pE6knTttfaakiZNpKZNpZYtpRtvlMLCjLwdAMjksKwL/1Qyr2zZsvrPf/6je+6555Jjk5KSFBUVpcTEREW6+q+8M2eko0fz/nrZsvYve0k6e1Y6ciTvsWXKZP8VmpIiHT6c99ioKKl0aft6aqp06FDeYyMjsz+Yzp+357HIS0SEnVmS0tPtD6W8hIVJ0dH29YwM+wMuL6GhUvny9nXLsj8I8xISYk+lnunXX/MeGxwsVayYfTshwc6dm6Ag+6iTC8empWVnulBAgBQTk337wAH7+5w5NnO8Zdlja9bMHvvLL/a/dea4zCUjw95P47rrssdu3y6dPGl/LT09+zI93T7nTadO2WOXL8/OkZpq/1umpNiFIj1devbZ7LETJkjffCOdPm0Xk5Mn7cJx6pSdNyUlu3zcequ0YEHO71epUtKVV0pr1mT//Jw8af88+TEHJIDiV6jPb8tNpKWlWfPmzbMCAwOtHTt25Drm3LlzVmJiYtaSkJBgSbISExNdH+izzy7+OHJeXnste+zy5fmPff757LFr1+Y/duLE7LE//JD/2LFjs8f+/HP+Yx98MHvsoUP5jx08OHtsUlL+Y++8M3tsWlr+Y7t3d/4eBwXlPfamm5zHli2b99hmzZzHVq2a99hrr3Uee/XVeY+tWdN5bMOGeY+tWNF5bMuWeY+NjHQe27Fj3mP9/Z3H9uqV//f45Mnssa+9Zln33WdZkyZZ1ttvW9aKFZa1d69lpaZaAGBSYmJigT+/je9Mu23bNjVv3lznzp1TeHi4FixYoDp16uQ6Ni4uTs8880zJBPPzy/9wS3//go+98KgIh8PM2IAA59smxgYGOt8OCcn7L/igoJxjQ0JyjsvtfYeGOm+yyFzDkPm1C4WF2WubMsdcOPbill+mjL2myeHIXvz87MvMtUqZYmKkq66yv+bv77xcvDmlaVP7exMQYF9mLsHB9pKRkf19GjFCuu02+znCw+1MmWvhoqKc/z2GDs35/QIAD2N8009qaqoOHDigkydP6qOPPtLMmTO1atWqXMtKSkqKUlJSsm4nJSUpJiameDb9AACAYlGYTT/Gi8rF2rdvr1q1amnGjBmXHFus+6gAAIBiUZjPb7fbc86yLKe1JgAAwHcZ3UfliSeeUJcuXRQTE6Pk5GTFx8dr5cqVWrx4sclYAADATRgtKn/88Yf69eunQ4cOKSoqSvXq1dPixYvVoUMHk7EAAICbMFpU3nzzTZMvDwAA3Jzb7aMCAACQiaICAADcFkUFAAC4LYoKAABwWxQVAADgtigqAADAbVFUAACA26KoAAAAt0VRAQAAbsvozLSXK/PEz0lJSYaTAACAgsr83M78HM+PRxeV5ORkSVJMTIzhJAAAoLCSk5MVFRWV7xiHVZA646YyMjJ08OBBRUREyOFwuPS5k5KSFBMTo4SEBEVGRrr0ud0B78/zeft79Pb3J3n/e+T9eb7ieo+WZSk5OVlVqlSRn1/+e6F49BoVPz8/Va1atVhfIzIy0mt/ACXenzfw9vfo7e9P8v73yPvzfMXxHi+1JiUTO9MCAAC3RVEBAABui6KSh6CgID399NMKCgoyHaVY8P48n7e/R29/f5L3v0fen+dzh/fo0TvTAgAA78YaFQAA4LYoKgAAwG1RVAAAgNuiqAAAALdFUSmElJQUNWjQQA6HQ1u2bDEdx2VuvvlmVatWTcHBwapcubL69eungwcPmo7lMvv379c999yj2NhYhYSEqFatWnr66aeVmppqOprLPPvss2rRooVCQ0NVunRp03Fc4tVXX1VsbKyCg4PVuHFjrV692nQkl/n666/Vo0cPValSRQ6HQ5988onpSC4TFxenJk2aKCIiQhUqVNAtt9yi3bt3m47lUq+99prq1auXNQla8+bNtWjRItOxik1cXJwcDodGjRpl5PUpKoXw2GOPqUqVKqZjuFzbtm01f/587d69Wx999JH27t2r22+/3XQsl9m1a5cyMjI0Y8YM7dixQy+++KKmT5+uJ554wnQ0l0lNTVXv3r31wAMPmI7iEu+//75GjRqlJ598Ups3b1br1q3VpUsXHThwwHQ0lzh9+rTq16+vV155xXQUl1u1apWGDx+u7777TsuWLVNaWpo6duyo06dPm47mMlWrVtVzzz2njRs3auPGjbrpppvUs2dP7dixw3Q0l9uwYYNef/111atXz1wICwXyxRdfWLVr17Z27NhhSbI2b95sOlKx+fTTTy2Hw2GlpqaajlJspkyZYsXGxpqO4XKzZs2yoqKiTMe4bE2bNrWGDh3qdF/t2rWtxx9/3FCi4iPJWrBggekYxebIkSOWJGvVqlWmoxSrMmXKWDNnzjQdw6WSk5Otq666ylq2bJnVpk0ba+TIkUZysEalAP744w8NGTJE77zzjkJDQ03HKVbHjx/Xu+++qxYtWiggIMB0nGKTmJiosmXLmo6BXKSmpmrTpk3q2LGj0/0dO3bUmjVrDKVCUSUmJkqS1/5/S09PV3x8vE6fPq3mzZubjuNSw4cPV7du3dS+fXujOSgql2BZlgYOHKihQ4fq+uuvNx2n2IwdO1ZhYWEqV66cDhw4oE8//dR0pGKzd+9evfzyyxo6dKjpKMjFn3/+qfT0dFWsWNHp/ooVK+rw4cOGUqEoLMvS6NGj1apVK1177bWm47jUtm3bFB4erqCgIA0dOlQLFixQnTp1TMdymfj4eH3//feKi4szHcV3i8qECRPkcDjyXTZu3KiXX35ZSUlJGjdunOnIhVLQ95fp0Ucf1ebNm7V06VL5+/urf//+stx80uLCvkdJOnjwoDp37qzevXvr3nvvNZS8YIry/ryJw+Fwum1ZVo774N4efPBB/fDDD5o3b57pKC539dVXa8uWLfruu+/0wAMPaMCAAfrxxx9Nx3KJhIQEjRw5UnPnzlVwcLDpOL47hf6ff/6pP//8M98xNWrU0D/+8Q8tXLjQ6Rdkenq6/P391bdvX82ZM6e4oxZJQd9fbj+Ev/32m2JiYrRmzRq3XpVZ2Pd48OBBtW3bVs2aNdPs2bPl5+fePb0o/4azZ8/WqFGjdPLkyWJOV3xSU1MVGhqqDz74QL169cq6f+TIkdqyZYtWrVplMJ3rORwOLViwQLfccovpKC41YsQIffLJJ/r6668VGxtrOk6xa9++vWrVqqUZM2aYjnLZPvnkE/Xq1Uv+/v5Z96Wnp8vhcMjPz08pKSlOXytupUrsldxMdHS0oqOjLzlu2rRpmjRpUtbtgwcPqlOnTnr//ffVrFmz4ox4WQr6/nKT2V1TUlJcGcnlCvMef//9d7Vt21aNGzfWrFmz3L6kSJf3b+jJAgMD1bhxYy1btsypqCxbtkw9e/Y0mAwFYVmWRowYoQULFmjlypU+UVIk+327++/MgmrXrp22bdvmdN+gQYNUu3ZtjR07tkRLiuTDRaWgqlWr5nQ7PDxcklSrVi1VrVrVRCSXWr9+vdavX69WrVqpTJky+uWXXzR+/HjVqlXLrdemFMbBgwd14403qlq1anr++ed19OjRrK9VqlTJYDLXOXDggI4fP64DBw4oPT09a56fK6+8Mutn1pOMHj1a/fr10/XXX6/mzZvr9ddf14EDB7xmv6JTp07p559/zrq9b98+bdmyRWXLls3xO8fTDB8+XO+9954+/fRTRUREZO1XFBUVpZCQEMPpXOOJJ55Qly5dFBMTo+TkZMXHx2vlypVavHix6WguERERkWOfosx9GI3sa2TkWCMPtm/fPq86PPmHH36w2rZta5UtW9YKCgqyatSoYQ0dOtT67bffTEdzmVmzZlmScl28xYABA3J9fytWrDAdrcj+97//WdWrV7cCAwOtRo0aedXhrStWrMj132vAgAGmo122vP6vzZo1y3Q0lxk8eHDWz2b58uWtdu3aWUuXLjUdq1iZPDzZZ/dRAQAA7s/9N9QDAACfRVEBAABui6ICAADcFkUFAAC4LYoKAABwWxQVAADgtigqAADAbVFUAACA26KoAF7oxhtv1KhRo0zHyNWxY8dUoUIF7d+/X5K0cuVKORyOYj+RYlFfZ/bs2SpdunShHtOkSRN9/PHHhXoMgNxRVABc0qFDh3TXXXfp6quvlp+fX54l6KOPPlKdOnUUFBSkOnXqaMGCBTnGxMXFqUePHqpRo0bxhjboqaee0uOPP66MjAzTUQCPR1EBcEkpKSkqX768nnzySdWvXz/XMWvXrtWdd96pfv36aevWrerXr5/uuOMOrVu3LmvM2bNn9eabb+ree+8tqehGdOvWTYmJiVqyZInpKIDHo6gAXu7EiRPq37+/ypQpo9DQUHXp0kU//fST05g33nhDMTExCg0NVa9evTR16lSnzR01atTQf//7X/Xv319RUVG5vs5LL72kDh06aNy4capdu7bGjRundu3a6aWXXsoas2jRIpUqVSrfM3MfO3ZMffr0UdWqVRUaGqrrrrtO8+bNcxpz4403asSIERo1apTKlCmjihUr6vXXX9fp06c1aNAgRUREqFatWlq0aFGO5//2229Vv359BQcHq1mzZjlOZz979mxVq1Yt63tx7Ngxp6/v3btXPXv2VMWKFRUeHq4mTZpo+fLlTmP8/f3VtWvXHLkBFB5FBfByAwcO1MaNG/XZZ59p7dq1sixLXbt21fnz5yXZH9xDhw7VyJEjtWXLFnXo0EHPPvtsoV9n7dq16tixo9N9nTp10po1a7Juf/3117r++uvzfZ5z586pcePG+vzzz7V9+3bdd9996tevn9OaGUmaM2eOoqOjtX79eo0YMUIPPPCAevfurRYtWuj7779Xp06d1K9fP505c8bpcY8++qief/55bdiwQRUqVNDNN9+c9b1Yt26dBg8erGHDhmnLli1q27atJk2a5PT4U6dOqWvXrlq+fLk2b96sTp06qUePHjpw4IDTuKZNm2r16tUF++YByJuRczYDKFaZp2Tfs2ePJcn69ttvs772559/WiEhIdb8+fMty7KsO++80+rWrZvT4/v27WtFRUXl+9wXCwgIsN59912n+959910rMDAw63bPnj2twYMHO41ZsWKFJck6ceJEnu+na9eu1iOPPOKUoVWrVlm309LSrLCwMKtfv35Z9x06dMiSZK1du9bpdeLj47PGHDt2zAoJCbHef/99y7Isq0+fPlbnzp2dXvvOO+/M83uRqU6dOtbLL7/sdN+nn35q+fn5Wenp6fk+FkD+WKMCeLGdO3eqVKlSatasWdZ95cqV09VXX62dO3dKknbv3q2mTZs6Pe7i2wXlcDicbluW5XTf2bNnFRwcnO9zpKen69lnn1W9evVUrlw5hYeHa+nSpTnWWNSrVy/rur+/v8qVK6frrrsu676KFStKko4cOeL0uAs3O5UtW9bpe7Fz584cm6Uuvn369Gk99thjqlOnjkqXLq3w8HDt2rUrR76QkBBlZGQoJSUl3/cLIH+lTAcAUHwsy8rz/swCcXGZyO9x+alUqZIOHz7sdN+RI0eyCoMkRUdH68SJE/k+zwsvvKAXX3xRL730kq677jqFhYVp1KhRSk1NdRoXEBDgdNvhcDjdl/meCnLkzYXfi0t59NFHtWTJEj3//PO68sorFRISottvvz1HvuPHjys0NFQhISGXfE4AeWONCuDF6tSpo7S0NKf9O44dO6Y9e/bommuukSTVrl1b69evd3rcxo0bC/1azZs317Jly5zuW7p0qVq0aJF1u2HDhvrxxx/zfZ7Vq1erZ8+euvvuu1W/fn3VrFkzx86/l+O7777Lun7ixAnt2bNHtWvXlmR/vy78+sXjM/MNHDhQvXr10nXXXadKlSplzQlzoe3bt6tRo0Yuyw34KooK4MWuuuoq9ezZU0OGDNE333yjrVu36u6779YVV1yhnj17SpJGjBihL774QlOnTtVPP/2kGTNmaNGiRTnWsmzZskVbtmzRqVOndPToUW3ZssWpdIwcOVJLly7V5MmTtWvXLk2ePFnLly93mnOlU6dO2rFjR75rVa688kotW7ZMa9as0c6dO3X//ffnWFNzOSZOnKgvv/xS27dv18CBAxUdHa1bbrlFkvTQQw9p8eLFmjJlivbs2aNXXnlFixcvzpHv448/1pYtW7R161bdddddua61Wb16dY6diwEUHkUF8HKzZs1S48aN1b17dzVv3lyWZemLL77I2kzSsmVLTZ8+XVOnTlX9+vW1ePFiPfzwwzn2JWnYsKEaNmyoTZs26b333lPDhg3VtWvXrK+3aNFC8fHxmjVrlurVq6fZs2fr/fffd9o/5rrrrtP111+v+fPn55n3qaeeUqNGjdSpUyfdeOONqlSpUlaRcIXnnntOI0eOVOPGjXXo0CF99tlnCgwMlCTdcMMNmjlzpl5++WU1aNBAS5cu1T//+U+nx7/44osqU6aMWrRooR49eqhTp0451pz8/vvvWrNmjQYNGuSy3ICvclhF2RgNwKsNGTJEu3btKpbDa7/44guNGTNG27dvl5+fd/6t9OijjyoxMVGvv/666SiAx2NnWgB6/vnn1aFDB4WFhWnRokWaM2eOXn311WJ5ra5du+qnn37S77//rpiYmGJ5DdMqVKigMWPGmI4BeAXWqADQHXfcoZUrVyo5OVk1a9bUiBEjNHToUNOxAICiAgAA3Jd3biAGAABegaICAADcFkUFAAC4LYoKAABwWxQVAADgtigqAADAbVFUAACA26KoAAAAt/X/J+Yjt6Z/fRcAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter2_252_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -3869,16 +3868,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter2_254_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -3982,16 +3980,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter2_256_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -5030,21 +5027,20 @@
      "text": [
       "[ 1.0169643   0.27924636 -1.4087793   1.03308408  0.        ]\n",
       "Test MSE OLS\n",
-      "0.958228616652075\n"
+      "0.9582286166520774\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter2_322_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter2_252_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter2_252_1.png
index d8ec67fae..1523ad04e 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter2_252_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter2_252_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter2_254_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter2_254_1.png
index 866b6addf..d54160b06 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter2_254_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter2_254_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter2_256_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter2_256_1.png
index cf8636c6a..4cc8bc7af 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter2_256_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter2_256_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter2_322_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter2_322_1.png
index e184a69c3..39b8a1098 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter2_322_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter2_322_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter3.ipynb
index 4c235882d..3a25f8c1a 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter3.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter3.ipynb
@@ -397,10 +397,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.0896981 sec\n",
+      "Runtime: 0.0903549 sec\n",
       "Jackknife Statistics :\n",
       "original           bias      std. error\n",
-      " 100.213        100.203        0.148564\n"
+      " 100.107        100.097        0.150184\n"
      ]
     }
    ],
@@ -774,7 +774,7 @@
      "text": [
       "Bootstrap Statistics :\n",
       "original           bias      std. error\n",
-      " 99.8879  15.0782        99.8894        0.149213\n"
+      " 99.9033  14.9678         99.904        0.151348\n"
      ]
     }
    ],
@@ -828,16 +828,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_47_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -992,24 +991,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Error: 0.013121574061370796\n",
-      "Bias^2: 0.012073649472576395\n",
-      "Var: 0.0010479245887943952\n",
-      "0.013121574061370796 >= 0.012073649472576395 + 0.0010479245887943952 = 0.01312157406137079\n"
+      "Error: 0.013121574062587286\n",
+      "Bias^2: 0.012073649469946107\n",
+      "Var: 0.0010479245926411787\n",
+      "0.013121574062587286 >= 0.012073649469946107 + 0.0010479245926411787 = 0.013121574062587286\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAABahklEQVR4nO29d5xU1f3//zzTdmc72yuwVOlFVCJYUbEiFuxfNRZCjDExiZGYfBRJfglqotEYo8SYnigxiliJwQpIaAvLAtJX2N5n++6U8/vjzsxO31mY7ef5ePhw594z9565zLzu+77PuwgpJQqFQqEY/Oj6ewIKhUKhiAxK0BUKhWKIoARdoVAohghK0BUKhWKIoARdoVAohgiG/jpxamqqHD16dH+dXqFQKAYlO3bsqJFSpgXa12+CPnr0aLZv395fp1coFIpBiRDiq2D7lMtFoVAohghK0BUKhWKIoARdoVAohgj95kMPhNVqpaSkhPb29v6eyrAhOjqa3NxcjEZjf09FoVCcIgNK0EtKSoiPj2f06NEIIfp7OkMeKSW1tbWUlJSQn5/f39NRKBSnyIAS9Pb2diXmfYgQgpSUFKqrq/t7KoohytqCUp5af4Cyhjayk8w8tHAii2fl9Pe0hiwDStABJeZ9jLreit5ibUEpP3pjD21WOwClDW386I09AErUewm1KKpQKHqFp9YfcIu5izarnafWH+inGQ19BpyFrlAoBg6n4jIpa2jr0XbFqaMsdB+ee+45Jk2axK233sratWtZuXJlyPE/+MEP+Oijj/podgpF3+FymZQ2tCHpcpmsLSgN6/3ZSeYebVecOkrQfXjhhRd47733+Pvf/86TTz7JfffdF3L8t7/9bVatWtVHs1Mo+o5TdZk8tHAiZqPea5vZqOehhRMjNkeFNwPW5fL423vZV9YY0WNOzk7gsaumBN2/bNkyjh49yqJFi7jtttuIiooiNTUVgKuvvprrrruO22+/nZdeeonPPvuMv//974waNYra2loqKirIzMyM6HwViv7kVF0mLteMinLpOwasoPcHL774Ih988AEff/wxb7/9NrNnz3bvW716NfPmzSM/P59f/epXbNmyxb1v9uzZbNq0ieuuu64/pq1Q9ArZSWZKA4h3T1wmi2flKAHvQwasoIeypPuC8vJy0tK6KlRmZGSwcuVKLrjgAt58802Sk5Pd+9LT0ykrK+uPaSoUvcZDCyfyw9cL6bQ73NuUy2RgM2AFvb8xm81YLBavbXv27CElJcVPvNvb2zGb1UKPYmixeFYOH31Zxbrd2vc9KyGahy87LaTFrRKJ+he1KBqESZMmcfjwYffrrVu38v7771NQUMAvf/lLjh075t538OBBpk6d2h/TVCh6FYOuK/Hs93fM6VbMTyUqRnHqKEEPwrnnnktBQQFSSjo6Orj33nt55ZVXyM7O5le/+hV33XUXUkqsViuHDx9mzpw5/T1lhSLi7K9oIj0+CoATda0hx6pEov5HCboPxcXFpKamEhMTw0UXXcSGDRuIiopi9+7d7kXSRYsW8fHHHyOE4J133uH666/HYFDeK8XQwmp3cKSqmYsnZwBwvBtBV4lE/U+3gi6EeEUIUSWEKAox5nwhxC4hxF4hxKeRnWL/8cgjj9DaGvpLbLPZ+P73v99HM1Io+o5jNS102h2cMTqZpBhjt4KuEon6n3As9D8BlwbbKYRIAl4AFkkppwBLIjKzAUBGRgaLFi0KOWbJkiUkJSX1zYQUij5kf7mWB3JaVjx5I2I4UR/a0laJRP1Pt34CKeVnQojRIYbcArwhpTzuHF8VobkpFIp+5EBFEwadYExqHCOTY9hXHjrRTyUS9T+RcPxOAIxCiE+AeOBZKeVfInBchULRj3xZ0cS49DhMBh15yTH8Z18FdodEr/MuuaxCFQcOkRB0A3A6sAAwA18IIbZIKQ/6DhRCLAWWAowcOTICp1YoFL3Fl+WNnJmvJdCNTI7BapdUNLaT4+ETVzXPBxaRiHIpAT6QUrZIKWuAz4AZgQZKKVdLKedIKed4ZmEOJPR6PTNnzmTKlCnMmDGDp59+GofDEfI9xcXF/OMf/+j1ud1zzz3s27cv5Ji1a9d2O0ah6A5Lm5UySzsTMxMATdDBP3Tx8bf3qlDFAUQkBP0t4BwhhEEIEQOcBeyPwHH7BbPZzK5du9i7dy8ffvgh7733Ho8//njI9/SVoL/88stMnjw55Bgl6IpIcKCiCdAWRAHykjWr3DPSZW1BKfWt1oDvV6GK/UM4YYv/BL4AJgohSoQQdwshlgkhlgFIKfcDHwCFwFbgZSll0BDHSLK2oJR5qz4if/m7zFv1UcQz0tLT01m9ejXPP/88UkqKi4s555xzmD17NrNnz2bz5s0ALF++nM8//5yZM2fyzDPPBB3nSXFxMaeddhp33HEH06dP5/rrr3eHSG7YsIFZs2Yxbdo07rrrLjo6OgA4//zz2b59OwBxcXH8+Mc/ZsaMGcydO5fKyko2b97MunXreOihh5g5cyZHjhzhueeeY/LkyUyfPp2bbropotdHMXTw/S29tu04AKdlaoKenWRGJ7wt9FBWeE9CFb+saOSOV7bS2mk7ydkrXHQr6FLKm6WUWVJKo5QyV0r5Bynli1LKFz3GPCWlnCylnCql/HWvzthJX6UZjxkzBofDQVVVFenp6Xz44Yfs3LmT1157jQceeACAVatWcc4557Br1y4efPDBoON8OXDgAEuXLqWwsJCEhAReeOEF2tvbufPOO3nttdfYs2cPNpuN3/3ud37vbWlpYe7cuezevZtzzz2X3//+95x99tksWrSIp556il27djF27FhWrVpFQUEBhYWFvPjiiwFmoRjuBPotrd1VRoxJT2ZCNABGvY7sJLOXhR7KCu9JqOJ7eyr49GA1u443nOxHUDgZtJmifZlmLKUEwGq1cu+99zJt2jSWLFkS1LUR7ri8vDzmzZsHwG233cbGjRs5cOAA+fn5TJgwAYA77riDzz77zO+9JpOJK6+8EoDTTz+d4uLigOeYPn06t956K3/7299UNusw5nBVEw6HDLgv0G/J7pDY7NKrifjI5BgvCz2YFW7QaccM98l5X5lWBG9vhPsfDEcGraD3VZrx0aNH0ev1pKen88wzz5CRkcHu3bvZvn07nZ2dAd8T7jjPH4vrtevm0R1Go9H9fr1ej80W+HH13Xff5Vvf+hY7duzg9NNPDzpOMXR5p7CMi57+jE8PVgfcH+w341k2FyBvRAzH67rGPrRwIia9t4QIwOagR0/ORaWakHcX567onkEr6H2RZlxdXc2yZcu4//77EUJgsVjIyspCp9Px17/+Fbtds2ri4+Npampyvy/YOF+OHz/OF198AcA///lP5s+fz2mnnUZxcbG70uNf//pXzjvvvLDn7DkXh8PBiRMnuOCCC3jyySdpaGigubn5pK6FYnBS39LJY2/tBaCkPnDqfrDfTEK09xPdyJQYapo73L7uxbNyOC+1kWg62GP6Oluiv8Nlpt1+xwn15Fzd1EFFYzsAe8ssAccowmfQCnpvpRm3tbW5wxYvuugiLrnkEh577DEA7rvvPv785z8zd+5cDh48SGxsLKC5NQwGAzNmzOCZZ54JOs6XSZMm8ec//5np06dTV1fHN7/5TaKjo/njH//IkiVLmDZtGjqdjmXLloU9/5tuuomnnnqKWbNmcejQIW677TamTZvGrFmzePDBB1WZgmHGT9/dh6VNi0SpaQ78pBjotwSa28XTss5zhy5qVnpHwRq2VgoW6rYTr+sgk2p+K57gEt02sqnhWNQt7DAtZZFuY9CnAJeInzk6mSPVLbRbAxs/ivAYtE7V3kozDmZNA4wfP57CwkL361/84heA5v7YsGGD19hA43zR6XQBFyoXLFhAQUGB3/ZPPvnE/benpX399ddz/fXXAzBv3jwvn/3GjRuDfh7F4CdUluanB6t5Y2cp918wjn9sPU5Nc0fAY7jGr1i3l4a2rjDElk47G998gUv+829i2ioYGTMX+DYn6lqZmBnPJx+8joU7WKzf5H6PEJAvKvjEmYqSomvmKeNLJBtNwBV+53b5zZfMyWVrcR1fVjQxMy8pAldmeDJoBR1Uv0LF8CZUlubZ41J45I09jEmL5f4Lx7F+bwW1QSx00H5LT60/4CXol4itrBSriWnT3pfXokUjHy/axN6kBTzbeB4pWJiv2+N1rCTRTCcm2ogihg6ihJ3HbL+GZ/4NCx6F6Te4xxaVWhidEsPcMSkA7CtrVIJ+CgxqQR/MjB49mqKiPgnXVwxRgkV6rVi3F4eUtNsc/OOes4g26kmNiwpqobvwdYv8xPB3YkTXTSCZJmJp46Vdnfy0YCOJpPEz48sYhfccktHWcOqIJwbtnALAcgLedobwOkW9qMzC9NwkckeYiY82ePnRLa1Wfr3hIN+7eALx0cawr8twZtD60BWK4U4wv3RDm5VJWQm8/51zmDNaq8WSEmeitiW4hQ7a4ugi3UYu0W0jjyrydN5RMULABFFCvcPM0nPH8Ol1cKV+q99xkoTmDmyQcf4nsbbBhpWAJtgn6toQwPwnPqap3caa7Sfcfvu/b/2KP24qZsvRupDzVnShLHSFYpCSnWSmNICoJ5qNvLp0rldYbGpcFDVNISz0d77HxvZXwCi5sfP/yBY1+ETVAvCS6WmIzyb9si3AJKjYAttfAbrCbZOFZqHXBxJ0AEsJ0LUg+p+9le4QSatdsvzfhUgpWbPtBIA7CkbRPcpCVygGKcGiU1ZcNdkvxyE1zkRThy1wFMk734Ptf0AgEQJKZSrZojbgOdNNnaRf8r2uDVc+DdeuhsQ85wbBCA+XiyeHHDm8YLsKR4I2tsgp6L7x7u02B//fe/sprtXCLCstStDDRVnoCsUgxTfSS68TjEuP45rZuX5jU+K0Rs91LZ3+cec7/uT+0y4FFSQHEHQBibl+i5qA9tpjW1JzB/zsvzRMXwoHd2luFuB1+zm8ZF9E3MhruZ2uhKJA1DR3Eh9lwGjQKQu9BygL3QdX+dypU6eyZMmSbnuKhuLOO+/k9ddfj+DsFApvFs/KYdPyCyl6fCEOKblkSmbAcalOQQ+4MCq7rPYqRmBHT7ao6dqfmAcrGuDBIn8xD0CSWVvArEuaClc957TeBTXGbAB+vtvMsZoW9pZZiDYEliABLJqZTd4IM5VK0MNGCboPrvK5RUVFmEwmvzjxUHHqCkV/safUgkPCrCAhfylxJoDAoYuiy21TJrXwQbeFbjRrVnkPMOh1JEQbaGjt1G4ADxbBigaqR15GXrKZKIOe77xawNGaFs4/LT2g20gCN56RR0ZCNBXK5RI2g1vQC9fAM1NhRZL2/8I1ET38Oeecw+HDh/nkk0+44IILuOWWW5g2bRp2u52HHnqIM844g+nTp/PSSy8BWhGv+++/n8mTJ3PFFVdQVaXaqyr6hl0nGgCYnpsYcH9qrGahVwey0E+/0/1nqUwFIEfUgDFWs7DDsMp9SY41+dVKr2nqYEJ6PCuvnkJhiQUpYcnpufzi2mnkJJkRQIxJE/dJWQlMy0kkKzFauVx6wOD1oReu0WJanf65QDGup4LNZuP999/n0ksvBWDr1q0UFRWRn5/P6tWrSUxMZNu2bXR0dDBv3jwuueQSCgoKOHDgAHv27KGyspLJkydz1113nfJcFIru2HW8gZHJMW5fuS+p8SEs9Cuf1v6/409uCz1r9hWw+KmTnk9SjIn6Vu9z1TR3MC0nkUUzslm/t4L3iyqYlpNIevE6FkethOgS/mq8nv/rvIYb5+QihCAjMZqmdhutnTZiTINXrvqKwXuFNqzsEnMXrhjXUxB0Vy0X0Cz0u+++m82bN3PmmWeSn58PwH/+8x8KCwvd/nGLxcKhQ4f47LPPuPnmm9Hr9WRnZ3PhhRee9DwUip6wu6TBHXMeiBiTAbNRT22w5KIrn4Yrn6bsrSISCkqJPwUxBxgRY/R6GnA4JLUtnaTGmxBC8MslM7hrXj7pxeu8DLOFnR+y15jCddEtQL67HnuFpZ0xaUHCIBVuBq+gO2NZw94eJi4fui+eBbaklPzmN79h4cKFXmPee+89v3AxhaK3qWxsp9zSHjxlvnANvP8wqbZHqdn8Kex9FS57IqDhU9bQHpGKpSNiTRys7Ko3VN/aid0hSXM+QcSYDNoN6BlvwyxdNLBK/yJ8lgen39Al6I1K0MNh8PrQE/1Ds0JujyALFy7kd7/7HVar5iM8ePAgLS0tnHvuubz66qvY7XbKy8v5+OOPe30uCkWBs9NPQEEvXANr74O2OlKwUEsCtNXBW98KuObkKvJ1qozwcbm4Kj2mxvu4hLoxzDISNUFXkS7hMXgt9AWPevvQ4aRW5E+Ge+65h+LiYmbPno2UkrS0NNauXcs111zDRx99xLRp05gwYUKP6pgrFOHiW2HxtKx4DDrBlOwE/8EbVoJDMzxShYUSmaZtt3cGdE+WWdqYPSrplOeYHGuitdNOu9VOtFHvDpdM9fXxJ+Zq61++OA2zLpdL6Do0Co1uBV0I8QpwJVAlpZwaYtwZwBbgRill7wdfu76IG1Zqd/NgSQ89JFADiPPPP5/zzz/f/Vqn0/Hzn/+cn//8535jn3/++VM6v0IRikAVFsstbeQkmYkOEP7naQGnikZ2O8YG3AfQ0mGjodUaEQs9KUaLRW9otZKZqKe6KYigd2OYxUYZiI8yKAs9TMKx0P8EPA/8JdgAIYQeeAJYH5lphYlPhppCMdgJVd8cAldYdEgtAzQgHhZwCo3UkYBDCnRC+rknyy2aqOZEyOUCmu88MzHabaGn+bpcwjDMMhJVLHq4dCvoUsrPhBCjuxn2beDfwBmRmJRCMRwJVd/cJerBKiy2dAZJeFvwqOZDd1hJFRbs6GkgjkTRjt7HPVnaoIlmpHzogNuPXt3cgcmZcORHN4ZZZoKKRQ+XU14UFULkANcA/q13/McuFUJsF0Jsr64O3LA23CbJisigrvfAIVh9c89+nMHENt3X8nUx/Qa2zfz/qJNxpKDVTjnqyORh+zdYa5/nNdR1s4hMlIvmcqlvcba/a+okNc50UlFgGQnRyuUSJpGIcvk18LCUstuceCnlainlHCnlnLS0NL/90dHR1NbWKpHpI6SU1NbWEh0d3d9TURDc+vbcHqjCok7AI5dPCnrc7+4bz+yO1Txg+zYA11sf5/XOs/0aN5c1tKETkBHs5tADAlnofhEuYZKZGEVVUwd2h9KF7ohElMsc4FXnnTcVuFwIYZNSru3pgXJzcykpKSGY9a6IPNHR0eTm9n6op6J7gtU397SYPSssusbe/rXRIVsxhrpRFJY0MCollkSzkdKGNjITojHoT93Ocy2K1jt9+zVNHWQlnpzhkJkQjd0hqWnuICNBGR+hOGVBl1Lmu/4WQvwJeOdkxBy0ZsuubEyFYrjx0MKJXj50ALNRz0MLJ3qNc/XSXfLiZsot7fzkiuDWOQS/UaQnRHH1bzeRnWhmyem5vFNYTqfNwbxVH51yw/Uog55Yk95dz8WV9n8yZCZqN7QKS7sS9G7o9lYshPgn8AUwUQhRIoS4WwixTAixrPenp1AMHxbPyvEqVJWTZOYX107zEta1BaXMW/URo5e/y7bieuaMGoFh7+shi9QFctOYjXrOn5COlNDUbuXXGw7RadMaTbgWY12t4E6WEbEmGlo7vdL+TwbPbFFFaMKJcrk53INJKe88pdkoFMMcl/UdCN8oGAC5901sh17CYHeKXZAidVEGnft9Jr3gF9dOY/3eCjITohFAY7vN61yuxdhTsdJHxJioa+10p/37xaCHSUai9j61MNo9gzf1X6EYZgSKgnlU/KFLzF14NGJ23QQa2rpK2docErtDsvFwDedOSA1q+QbzvYdLUoyR+larO+3fLwY9TFJjozDohIpFDwMl6ArFIMFXYBeIbSQL/8xmwJ0FGiwR6Rfv76ep3ca5E9KChimeavhicqyJ+pbO4Gn/YaLTCdLjo5TLJQyUoCsUgwRfgX3c+FeChnU7s0CDWdk1zZ3oBMwflxrUx+67GNtTXAW6gqb994CMRBWLHg5K0BWKQYKv8Hr1/fTFmQUazMo26gXTc5NIijGFtRh7MoyIMdHUbnNb1mmnIOiZqhVdWAzeaosKxTBj8awcmjts/GRtEQBVIo1MAuRsmJPdC6KBQiEBbHbJueNTvY59qgLuiytb9HBVs5b2bz55uclIiObzQyFuYApACbpCMajIS44B4B8jXiKzrRoQaC2VnRjNWvMKJ56JSGUNbSSajTS0WZHAuRP8s7UjSZIzW/RQZdNJp/27yEyMprnDRnOHjbgoQ7dFzIYrStAVikFE4X//CYxlWutWTcuRuEU9MS9gCWlP6/ujLyu560/biY82BO9wdJL4iuyiGdkAHKpqZlz6qXUb8mxFV1Rq6baI2XBFCbpCMUDo1uosXENhST1jRBnxwnOx0ynmDxZ1ew7XwuS8sakRSfH3nLuvyL6y6RgArZ32U1oQBdwZouWWtpBFzIa7oKtFUYViALC2oJSH/rWb0oY2JJogPvSv3d7ZmhtWUugYw3Rx1P8AYfbSzUkyY9LrWDg1IzITdxJIZDucmadwaguiAJOy4jEb9by5s5SyhjYW6Tay0fQAR6NuYaPpARbpNp5y3PxQQFnoCsUAYMW6vVh9qglaHZIV6/a6rc7KhmYqSWa6LoCgh9lLNyUuik3LLyQ17uTS8IPRnZiebNq/i6QYE7fNHckfNh7jmpjd/Mz+MjFCS1jKFTWsMr5MstEEXHFK5xnsKAtdoRgAeGZyBtteGK31j/EXdNGjXrpp8VGntEAZiO6SkE7V5QKw9NyxmAw67LZOt5i7iBGd/ND4WljHWVtQyscHqk55PgMRJegKxSBhT94t6HAwRRR7bBUw565+b8UYLDkpyayFLkZC0NPio7jtrFG80zmbYoe/yyimrSKs4zzz34O89OkR92tXwbP85e8yb9VHp1yUrD9Rgq5QDABGOOuHh9peaM1hQhKYkzIAoS2EXrsarny6byYZgmDJSVlOy/1k67j4svS8MRhw8Lx9sf/OMNxOUkoqG9s5Uae5iFyLuZ5rF5GoNNlfKB+6QjEAeOyqKfzgX7vwWEcE4AeXaOn3UkoKSyxcNGkkXN99NEt/ECg5ac12rUF1JCx0gPT4aG6dCH8+MJ9v699klM7pOjGaw3I7NbbZaLc6KLO00WlzDLmIGWWhKxQDgMWzcnh80VT36/T4KPRCsun9f1D12ChKf3UOdS2dTMtN8nvvQHYZjIjVFkNPNcrFk6XXXoodPe+YLsX9pHLVc2G5nSqbtPIBUmrWeDht/wYTykJXKAYIs0aOAOCFW2dzufycZ1//kGc6FrOe3zC+UxPpGW3bgFHu9wSK/x5ISTYpsSZMhlNL+/clMzGaiRnxbEm4jW/d/ZsevdezwNeJutaw2v4NJpSFrlAMECoaNWHJSoyGDSv5jm4N/zX9gG/o36FRxpBMIxMLfur1nlAug4HAnWeP5tkbZ0Y8quasMcns+Koeq93poypcE7Jrk4vKxg7338frWnut0mR/oSx0hWKAUO6sJpiVaHYnCo3TlfFD3Wv8wLCGTgxENXp3FhroLoMxaXGMSTu1tP9AnJWfwl+++IqiUguzGj7UujRZnZ85SNcm6LLQjXrBibpWfnS51o91qNSF6VbQhRCvAFcCVVLKqQH23wo87HzZDHxTSrk7orNUKIYB5Q3t6HVCiwhJzNWEyYlOSKKxav5iD4aayyBczsxPBmDL0TpmFazsEnMXrq5NPoJe1dhOotlISpyJ43WtQO9UmuwvwnG5/Am4NMT+Y8B5UsrpwE+B1RGYl2IAMpAX34YC5ZZ2MqLt6J+d5hRzHzdFgEiOoeYyCJe0+CjGpsXyv2O1wcseBNhe2dhBRkIUI5Nj3II+lOhW0KWUnwF1IfZvllLWO19uAcLLQVYMKoZavO5ApOJIIZlthz0sc4kDLSKjgjS2TXs8YCXF3mhOMRiYOyaF7cX1NEZnB9zfas7021bZ1E5GQjQjk2M4MRwFvYfcDbwfbKcQYqkQYrsQYnt1dYDC/IoBy0BffBsMrHx7H8/+91DgnYVrKG9sJ0t42046oFSmMrf9WW7fNirgDXTxrBw2Lb+QY6uuYNPyC4eFmAOcNSaF5g4bj3TcSav0rhXTKk3c0PwDPj3orTNVjR2kx2uC3thuw9IauOTCYCVigi6EuABN0B8ONkZKuVpKOUdKOSctrXeL6ysiy0BffBsMbPiykrd2B36ike89TLlMJkvU+u3Ldm5TN1Bv5jr96O+0TWG59R5KHKk4pKDEkcp3O79JkTWLf23vWodwOLQs0YyEKHJHaI1Cjte1DilXYkSiXIQQ04GXgcuklP7fSEW/EonuLsNh8a23u+DUNnfS0mmjtdNGjMn7p9fY1kEb0WQKf+9mmUzp+lvdQN2kJ0STnxpLeUMb62zzWdc532/MB0UVrC0oZfGsHOpaO7E5pNvlAvDvnSW8tu3EgI3j7ymnbKELIUYCbwD/T0p58NSnpIgkkfJ9D/XFt95eI2i32mnusCEl7C9v8ttfLjVr09flIiU8aevymw+lG2gkmDsmGQREG7qkbJFuI9frPgFA5+jk8zdeYG1BqTtkMSMhirxk7Tq+sbNkSLkSuxV0IcQ/gS+AiUKIEiHE3UKIZUKIZc4hjwIpwAtCiF1CiO29OF9FD4mU73uoL7719hpBXUtXudd95Y1++8tNWvanr4XeQjTrHJrlOZRuoJHirPwU2q0O7r9wHDlJZhbpNrLK+DL7pXY9OzFyr3iTXe+upsqZVJSeEE18tJHkWBON7baAxx2sT0LdulyklDd3s/8e4J6IzUgRUSLp+x5K8bq+BLsepQ1tXPvCJp68fsYp9cWsbfYQ9LIAgj75btja5S8HsAsjvzQsQ3Qw6BNeeouzxmhPNnqdjk3LL6Tk0XuxoWe/HMU5ukI+d0ynVKZzT+ff2Nh4N9DVzi4vOYaWDptXZyUXg/VJSGWKDnEGg++7srGdpBgjUQZ994N7iWDXKSXWxM7jDRQcrz8pQXf55V3HjjLoAlroFXFT0IlDpCXGQ2M9JOaiX/AoK6bfwIoen3X4kJVoZvbIJN4sKGHZeWPI1tXyqX06DnTcrP+Izx3TOSxzuEC/y5327yoUNjI5htL6VnQddq+ns8H8JKRquQxxTtX33dsRAFJKLv31Z7zw8ZHuB/ciwa7TuRO0aCxLkI5CofD0y7uw2h3sK7Ngs3tbhWWWdtLjzRi+VwgrGrSGz/3ctGKwcP3peRysbGZPqYV2cybbHKdhwMb5ut2k0sBhmU27OZPKpnZ3sTCAvBFmGlqt/Gzx1CHjSlQW+hCl3WpHrxPuL+bJRG/0RSU/S5uV+lYrO76q735wLxLsOm0r1nzajSch6IH88g4JDrvkWE0L4zPi3dsrLO1kJUWfwicYvlwxPYvH397L6ztKWHnZSra+WsoUUUyM6GCcrpRDMpeYy1ZSVdDudreAZqHbHJIz85PZtPzCfvwEkUMJ+hDllt9vITk2it/ffvpJ+777ovh/TbP2GLy3zIKUMuJV+XpCoOv02jYtjjnY4lkoQq1T7Ctv9BL0cksbEzPjg45XBCfRbGThlEze2lXGDxZeQyHrudP8GTgE46Iaecs2FzntCio/3URGQldddlfo4om6VvKcfw92lMtlCCKlZF95I//dX8mG/T1rhuvpYgnkU4bIRgBUN2mLhfWtVne1wYHE0Zpm4ORcLqHWKX78ZpHbfSWlpNzSTmbCwFnXGGxcd3ouljYrT//nIJ0OwRnXfx9WNDDuortpsgqqmzqcSUVdFrpLxIdSTRcl6EOQmuZO2q2aj3blO/to97Gyg+Ebix2MSC6ouix0gL0Boj+647Vtx1n6l+294udvare6F9JORtAD+eVdNHfY3HHuje02WjvtZCuXy0kzf1wqGQlR/OWLYgDOGK01CxmXrj31fPnCzdQ0tZG+74/uWulZidEYdIIT9UrQFQOYEucX9M6zR3O8rpU/bDwWcJzvgufjb+/1c7H4EukIAG9Bt/T4/a9sLObDfZW9khB0rKYFACFOTtA9Y/cB0qljo+kBlug+JokmLrJ9ylPrD1DhfDLJTFSCfrLodYJrZ+fikDAxI56kGK22y7jajwHY0pSGAx0ZHcVarfTCNRj0OrKTzByvG5wx54FQgj4EKanXvqA3nzmShVMyeP6jw35ukkCZkfUhChX1VgRATXMHep1gTGrsSVnoR6qb/Z4mIpUQdKRac7eMS4s7KUGHrsJZZtqZp9tLrq6GqbqvaCCeh4yvcXrjh5RbPDoVKU6a62ZrhV7PyB/h3pax+XHiaGWTY4r2WjR01UoHxqXHUVQa2pAYTLVelKAPQVyCnjvCzE+umIxDSn76zj6vMYEWPIORk2TutUp+NU2dpMSamJKTGDDhpjtsjsDOoUj4+d/fUwHAoapmjlY3h/1D/sPGY2wv7sr4lFLiQEe6aABgsu4rAA7LPFYY/+LdqUhx0oxLj+M3N8/im+ePc28TjSWMFWXskWMAyBDOaCpnrfRzx6dyrKaFr2pbAh5zsJWNVoI+AIi0BVBS30pyrInYKAN5yTE8sGA87xdV8G5huXtMuIIXZdD1apJFTXMHqXFRTMlO0J4SPFLku6MzQIafi1P1868tKPVaUHZIwvohOxySVe/v569bvnJva+m004GJFKHdsE4TxwHYJ0cxgmbKLe3ohNa0QXFqXDUj2+3iAiAxl7GiDIdT6tyCnqhZ8+dPTAfgkwOBy3kPtrLRStD7kbUFpcx8/D9897VdEbUATtS3kTui60v9jXPHMD03kR/+ezdzf76B/OXvogsSHphkNqLz2HX6qBG9mmRR09xBarwm6BC4zkmo9wYiEn7+p9YfwC69rf9wfsg1LR1Y7ZLi2q6FtlrnPF2CHi/aGCUq+KftQr5p/Q5v7SolLT4Ko179HCPOgkcZZ9BuzDocpGDx6vw0OjWW/NRYPj4QOBpssJWNVt+gfsL1KNcQwDd7qhZASX2rl6Ab9Doum5pJS4edisZ2JPiJFWhC+JMrJuGQ8L2LJ3DjnDx2Hq+noTV8q7mn1DR3khpnYkp2ItCzhdGqpi5Bz4iPiqif/2RDNssaNPeJ+xG+cA01Ly8BIJmum9Wt+g3EizaOkotJr2PxzMGZmTjgmX4DjDkfgDQaqBapfp2fzp+YxhdHamnr9HdBBnvSG0ilMzxRgt5PdOfDDiUcJfWtWO2B3Q1SSkrr29wF/F38bcvxgOP1QngJ4VljtNrbmQnRfH3+aNqtDv659UTA954qUkqqmztIi4siOdZEdmJ0jxZGqxq74tZf+foZEfXzZwRxf3T3Qy53/rs1tFpp2LYG3n6A2mZtnqmi67MtNbzLu9H/x39uSuLD753n7j6viCxrC0p59rDmVqkkOWDnpwsmptNhc7DlqH8rh8FWNloJej/RnaXnKxy1zR38YeMxLnv2c+Y/8TF/3lwc8H3VzR102BxeFnqo8zmk9BLCClfN6MRoTstM4OyxKfzli2K/2iORoKnDRqfNQaqzWNLk7MRuIw48qfZwuTSfRCZnKALdFEz67tcTyjySo4rfeRKsbdRJLRY6RXh8tsQ89Ne8oOq19DJPrT/gV03xYvunzH3rPFiRBM9M5cyWjzEb9XwSwO0y2MpGq9T/fiJYdT/wtwAa261c8sxn1LZ0Mj03kbT4KL44Uss954zpelPhGtiwkpL6KGAlue/dAVtq3b7CL6IfIV1W0yhjeN6+mD/aL0OHg/iYWK9zu2OinRl1t39tFMv+tpPPD9dwgXMBKVLUOF0mqfFazPCU7AQ2fFkZsKNPIFz1rQFaOiMr6K6MwsyEaPdN7o6zR3X7Q/a8cX7lSGOm/hC1aO6kZFyNLYRWfEvR6/gaMq566TE43YiWE0S/9wBnp73ExweqWRGg/MRgKhutLPR+IlgW4YgYo58F8GV5E7UtnTx700zW3T+fCyamUXCiASmlJuRP5MMb94LlBCekVh0wT1Rr3ePX3gdvfYtMqtEJSNK18hPjP3jP9CPGiHJMbRXuzDnA3dXFJegXnJZOUoyRf+8oifg1qHHWCHdZ6FOyE4J29AmEpw+9KYSFvuOren70RmGPnjKOVDeTaDbyxY8u5OMfnA/ApKyEbt9XbmkjR1ePwEGxzACgRiYQTyvRwrle4oywUPQ+vk+6PzSsIUb4rAlZ25jXsJbjda3k/+i9AR9rHgol6P2E61FO77QGYkx6fn3jTB67agpPrT/gFcJ4sFITuDmjtWL+s0aOoK6lk682v65lvbV1xTyXOAU9R9RoGxxWsPsvak7UlXCV/gsqZDKt/75fuykUrqGysZ1oo44Es2YhRxn0TMtO5J3Cckb3MKyyucPGsr/uCBrj64pScQt6jmbJ7gtzYbS6qYOUWJP7XMF4fccJ/rn1BOt2l4V1XICj1S2MSYtFCEGi2QiEly1a1tBOPiVkUcdXjkwAamWCO8LFM8JC0fv4Gk7Zrt+FDxfZPnf/PdBjzUOhBL0fuWhyhjvaZPZILbstUBLD+r0VxJr0ZDszCV1jd366Tst686BEppGChRgROKTPk9FCS5wplhnaTeHtB6g4fojMhGj3Y+faglK2Huu6YfTky/7pgWo+2FvBx18GDgnzFfTsxGgSzUb2V4RnoVc3tZOfqrmMQvnQ9zj98r/56HDYVvrRmmbGpGoNLRKitZtbeILeRpapnVG6SreFXkuiFuEi9HDVc8pv3of4+sArRGrAcTp6HqI6EFGC3o8cqdJSy6ONOioa24MmMWw9Vse4jHi3yI5LjyMuykBBS4rfMUtkGrlBrBBf8p2CfkxmaRusbVSWFpPeWOReMNr17mo6fEQw3C/75iPaPFw1UXypaepACEh2Wtlv7SqjtdPGP/53PKwngaqmDkalxCIEtHTYAiZoddjsHKho4rTMeI7VtIRlpbuKco1N124WBr2OuChDt4LeaXNQ3dxB1rgZjNbX8JVL0GU8KfoWuOZFJeb9gKv8wrFVV7DacBut0uS1v1WavBpxuxioseahCKdJ9CtCiCohRMBVHKHxnBDisBCiUAgxO/LTHJocdgr6GaOTqbS0B/0CddgcjPdof6bXCWbmJbFTTPYbWypTyRUeWW86I+hNfuPA00LPdG+rsMeTaS8HJFhO8EPrCyzSbfQ/T0Nbt6K7+YgWBnY0iKBXN3eSHGNCrxPuuHyrXbqPH+pJwOGQ1DR3kJEQRVyUgV0nGgI+3az+9ChWu+RbF4xjUlZCWFa66wbkstBBq7kdVNAL18AzU6lcOQEpISdWMnrK16glkUYZQ60YQeqoqUrMBwB/bj6T5dZ7KHGk4pCCEkcqy633uBtxezJQY81DEY6F/ifg0hD7LwPGO/9bCvzu1Kc1PDhU1YxBJ5g7JoWmDlvIanvjffpZzhqZxJf2bFoNie5tDik0C13ntNAT82DxC3D1b7W/AUTXP3ms6CCDOo46fb1SQoUcQaYrPRqIEZ08bXyRL0z3ocPBeLri2Usb2njwtV38ZO0ev/mWNbRxrKYFvU5QHMKH7nK39DTFuqHNitUuSYvXBH37V/UB3++qNDkjN4nvLBgflpXuqo89OrUrlj/BbKSxLYBbp1CLNcdygjK0J6aswt8yKl67aRTfu586EkkZqeLMBwLZSWbWOeYzv/M5xnT8nfmdzwGw0fQAvzK8AMCFYseAjjUPRbeCLqX8DKgLMeRq4C9SYwuQJITIitQEhzKHq5oZnRrrjhm/8+zRfpEvJmc6+IQM7242s0eOwC4FhWc97RRrQXX8JDoxknvlclhh6epLOf0G7e8VFnisHq79PZi1BdZ8XbnbQm8gjk5MZAjvf26DcJCla+AcXSHNxPCY/hX3Pgn8fctxP0vaZZ0vOC2d0vo2Omz+SVRa2r/29NDTFOuqJi0aJz0+mrgoA60BsvxAE/5Es5G8ZDOXTM5wW+n2IEW9oEvQ8zySsxLNBv82dIVr4M1l7nWMcqkJera9jNF7Nbtm94kG7A5JSlzgpyRF3+K7SLpIt5FfGl8iV1fDSJ32ZHurYQN/OeOrQROq6EkkfOg5gGcqYYlzmx9CiKVCiO1CiO3V1YGL4QwnjlQ3Mz49zh3zPCU70S+JYfGsbAC/jvMz85IAKDDOcop1AyVL3gXwSyryY/oN8PAxuPb35Ec1az70xDwqTKMBvCx0T67Vb6ScVKbpvuJY1C0ci7qFnVFLuUq30c+S3nykhuRYE5dOzcQhtTZfvnha6D1NsXbFoKcnRBEXbSDKEPirbNQLpuYkIIRApxPcNnckx2pa3DXjA3GirpUUZ3EzFwnRPi4Xl2Uuu24kZVK7SWaJWka2aE8trl6prnUCRf/iu0i60vRXTEL7N3S5KstlCmfsebwfZ3nyRCKxKFCVp4Dmj5RyNbAaYM6cOaGa4gx5Omx2vqpt4crpWe6Y74rGdq4/PdfLMnj87b2YjXrvCnLAiFgTY1Jj2Xm8S3xdZXPzuhN0F9NvIL/hdOre+xLLNwqo+GwdfAKZIvAD2QW6AozY+NAxhzn6QwAk08zTxhf5fiOA1mhXSsnmw7V8bWwKY9K0G9HR6haKShu9mjBXN3UJ+kMLJ3o1pIbQKdbVzhj0tDjN5ZKZGE1VY4fX+6MNOqwOybScJPe20SnaQmdpQxujUryTqlwcD9Bj0s+HvmGlX4RRmUwlkWZiRQck5pHRFsXO4w1AVySPov/xShRa0RVRlUE9JqxaLoe1RbtpD7J1j0hY6CVAnsfrXCD8gN9hSnFNKw6pWd4u33mlR20S10LboS/eZrwsRlf0L79jzByZRMFxZ4IRXYKekxR+w9t858LfsdoWqlLOAFxZkkILs/MgQbQxV7eP/zjm4FnbyyAc/Nr0AjwzFQrXcKymhYrGds4em0K+UzTfKSz3W7TstDvcn9llOblCM+OiDCFTrF1JRekJUcRHGzDpdX5PN/ddMA67QzItp2udwXVjLK0PHsFwoq7N3UDYRaLZiKWlTfuMK5K0pC0fymUKWaLWHWs+KiXW7b5RLpeBj05IckQNJdKZEe1sgjGYiISgrwNud0a7zAUsUsry7t403HFFuIxNiyPaqCcpxujuXMM734M3loLlBIccOYxzHHO3zfJk9sgR1DR3MPfnGxi9/F1+6XR7XPT0p2EnRbjiuI/VNFNhcYrkdz+DFQ1amJ3PA9gluu0ck1kckdle2wVoIvfGUjY9ewcA82xbSYwxkhxr4r/7KwMWI9t4qCvEcvGsHDb/aAH5qbGcNzEtpA+zqqmduCgDMSYDsSYDzR02Fs/K4aGFE8lOMlPW0MYrzgVRT0F33TxdVRF9sdkdlDa0kZfs/ZST2HiANrugs6GMIA+glMlkckSdO9Z8dErXTSElVlnoAxLnWpKLXFHtzrZ2NcEYTIQTtvhP4AtgohCiRAhxtxBimRBimXPIe8BR4DDwe+C+XpvtEOJQVRNCaIIOzpohlg5NtLe/AkgsMoZKkhmvK/Vqm+XCVda20mmtumSmJ8k/I5Nj0Ak4Vq1Z1alxJkwuf/T0G2DOXXiK+kX6nQCsd8wJckTJZscUsqlh1MffhsI15KfGYu6sY2fUUrfv/V/GxwB4xvozd5aqi7zkmIA+d0+qmzrcDSHiog00t9v8usu4ShPv+KrLhRRt1JMWH0VpQ+Djl1vasTukv4V+7D0ALAR20wCUyTSyxnaFJ7pcOkJoJR0UA5DLnvB6mSeq3NnWg7FEQzhRLjdLKbOklEYpZa6U8g9SyhellC8690sp5beklGOllNOklNt7f9qDn8NVzeSOMGM2aW6NzMRoKhrb4P2HcUnzYalZqBOE01LwsRj+8b/AJXEh/OQfk0FH7ogYjtW2UtnY7l6gdXPl03DtarclkyXqmCGO8KH99IDHc0jBF47JnK3fi7BpN6HRuir02EkWzQihCZyrYFWazqJlqa69T3syeWYqI4/8g+OlZX5PJJ5UeQh6fJSB5k4bT37wZcCngF/+56DX65wQhdFcN5K8hq3ajWZFIqxIJLFdu/YW2bU4/bl9Ko3SDAhaE8ZgIZasMVPd+13++hExJgyqecXAZPoNMOduXEZLrqimjgRaDEmDskSD+pb1E4ermhmX1iUOWYnRVNQ2eNVlOeTQBH28cFraPhZDuSWw28BFuJlu+amxTpdLu3uB1guPqBiMsVyi384uOZ5KmeQ39IDMpYF4vqZz9jC1lDCmegNVJNMiu9wONVIT9FRXSVmHVXsysZxgpKiiQcZiWfdwUFGvbuog3cNCl9K7dG2o65CTZA7scilcw/HXHgIg7/OHvf4tEtBi6V0Weo1M4Hbrcp7S3Q0rGii77XP3sV244thVhMsAx2W0JOaR58yyPnHuLwfdgigoQe9z1haUcvYvNvBlRRPbiuvdbpGMhGhq2nV0yq6FyEMyl2g6nOFUws9i6C6TLdxMt/zUWI5Vt1DZ2E56IEF3Mf0G+HEZWVPPA+BD++n45ly6ygi4+maSmMvoDu1JwTMjtcZpoad4dPFxPZmMFFrtlxOdCUEXpqoa290Wemz1bgC2RN3HkahbORZ1C28ZfwzA84Zn+SL6O143hpwRmoXucHhUq1yRCG/cy/FWIwZsZPlE+iQKTdAbpSbSBx25SHS82nYWo5e/yyVPfwrAz97d5/43dblcUpSgD3ycuRp5S18F4ETquf08oZNDCXof4vLxuizJ5g4bP3pjD9vWvUTm5hUAVDHCPf6gzGWcKEMgOTLqRj+LIVgJXuhZV5X81FhaOu3UtnQGttB9PsMjRdqC6E9sd/PdzvsolalOKRaUSq34Ua6ocUd75Mdre495CrpMJIkmjMLfRZLnFPTjMj3gwlRLh42WTjvp8dFQuIa4PX8CoFnGoBcSIXB3eZ+hO0om1doi84pEeGYqOS376bQ5qH1ihlZ22MMSPyHTyBE1GIT3rSrRaaE3EgsI9himAGBFu/6u0TXNne71i7goA2nxUaSq5s+DBlfIb3drOAMVJeh9SKD09ovtnzJj5yNkWrUwuErZJeiHHTmMFyXUyThur7zR73ieSRKAuxRvT7uquCJdADITQ4vPU+sP0O7RAWadYz7zOp5jfvSbbJv9BAdlHnG00kqMu3fj6IvuBXwsdJnY5W4BPBM3R3oKeoCFKVcMenp8FGxYSbxdO04LXTejwzKHWNo86to4T2A5QXaRlsVZ2uafhnFcprvP70mC00K3ROfCigaetV8f+AKhrV+sWLeXeas+orqpg23H6gZlKdbhSHKsiRiT3h0C7AofdhWrC7WuMxBQHYv6kEA+7R8a1mDC5s7OLHdmGzZJM+WkMFpU8Ljt9qD+cN9uKmsLSnlq/QEefG0XT60/wEMLJ3Yr7J6C7rcoGsZnAC2y5vZto2izawL8tY5nMW/T84u8UhbPvoHMt9/mqH00oNWMqZaJpGJBSqiTcbzjmMsS/WfEiE7iRRvJNHJcZMOCq/3O5RmDjqWEOKG5QZpll4upSo4gQ9QjAqS95UitKFmpTGUmR7z2nZDpLNRt83uPy0K35F8OELTUgIuGNqs7yqaqqYMfvaFljg7GdPLhhBCC3BFmTtS3dmUDuxLILCe01zBg/evKQu9DfH3ai3Qb3Y0oXD7bCqegb3Jo0RJfOCaxzjE/LH+4b9heuOGL2Ulmd82YUAXCAn0GF3ohQhbXys9K41jmQlhhYb75TXbIiWyRU8jv+Aend67mMdtdPGm8z12XJs/QwImUcwL+cNxZovFRkJhLHNoPrglPQU8iPUgJgxyh1Zkpk97lh5tlNHUkBLTQTVHRmPUSS8JEpJQB06NDMVjraw9H8kY4w2YDZANjdUWiDUyUoPchDy2cSLQzxnskFawyvuy2IBNoIZoOt6C/bj+XFCxskVPD9of3tGKhC71OMMqZBNOdDz1YF3S7DJJs47ToR6fGUuwsSxvos5iNemZesdRdl2bklLkct8b7jQPvwlwseJQ4o3buZk9BJ4k0Anc+SqCFOFrd/n4X7vZ9VGGXzn+YxDwtuueRMhJjzVjarFQ0tiMBo65nsj4Y62sPR/KSYyipb0M2BEksaqsbsK4XJeh9yOJZOTx48QQAbtZ/7NXbUAjNSq+QyVTLBD52zGQETT3yh/e0YqEno1NjiTLo3O3WQn0GT7+92aj3eu2Ly6Jv7bBR32pl9PJ3eeytvYDWCShYJ/WRyWZK69sC1i6vaurAqBckmY0w/QbiFmrRPy3SDEKHlJqFniYakBK/SBxhMJEjainxEHQp4bhDa0ixxn4e55rf8K5YSVc9lwPOjkrLzhvr97lzksxBk4gGY33t4UjuCDPNHTYaEiYEHzRAywIoH3of4yrSdKF+l9++DFFHpRzBW7qLsaPndw/ewviMwFZqILKDJMyEIyTXzc5199DsDpff/v/94X9Y2qxuIX7434V0eCyYup4s1haU8n5RhXu7pd2KTsCPLpvEzWeNDHiOkckx2ByScku7X6EsV1EvndNCjp19HbzxAc0LfgEX/IvXth6n/Y09vGK/nFfsl7NIt5GHjWvIFrWIxFxY8CjZn0RRVqVDIiiTKTxhvcHd5GAzM4nvtJG//F2yk8zudQiXoB+q1Mo23DU/n+87nzbe2FnCnFHJjEyJcbu+wi00phhYuL5vJaf/kBGf3B1wjMNSwrqC0gG3JqIEvY/ZdaKBWJOecUkCrxBsIJN6tovJvJ54BjNSdD0Scwi/YqFr4dRV9dAlWJdOzfQ9ZEhGp8SydlcpUkoWz8qhqNTCy876KTkex5236iM6fSxth4QfvbmH5z8+HHDh1vWjOuGsfHioson3iyrYfKSGnV81MCUnwT02yqDHZNDR5Owr+vSH3pmh6xzzWdcxn5wkM5se1CpC5hzdw856M+KxBrYVlLJj/QFw3QwF1LdqC5qudQiA1k4bX1Y08b9jdegEfHqw2j3va2d3ReO4tgW6xoqBj6v89ImUeUwwJhFlbfAb45CCjW++ANw3oP5dlaD3MbsOHmW6PIa+8ThaunGX7znT0EhJZzJUNPHTq6f0+NjhCImv9egpWD39Yo5KiaGp3UZDq5URsSZynD+E7T+5yKtcbCiXT7Dzu2qpHK5uZsuxOl74+DB2KZmclcAdZ4/imlne4YxxUQaaO7qiSgLhOY+cpBgsbVZ3Ua/Fs3L4+h+3svFwjbsNnos2q51H3iikwybdawUOScjr5ht9pBg8uIyJD4oq+KjjNlaK1W73aLEjg2aimar7ipWs5sl3DSyeNXBqpytB70Pad65hf10U9+r3ouWjSNyinphHZu4C2KF1KbpqRnbogwWhOyEJtXDaUwFy1Soprm1hRKyJ0vo2oo06v8zIYK6gUOfPSjRj0Al++s4+rHbJtbNyeOSKSUHrisdFaQW6QCuE5bKwfefR9ber6mKbuxvU8bpWPzF30Wr19+Wf7HVTDGwSoo0kmo1s2F9JS+fZWISBmbqjvO84iyKZjwkrBVFLiRUd3NP5N2DgCLpaFO1Dij78MzYMzNR5xj5rYs6DRWROOhuAiyankxTTO+nip7Jw6ourVslXtVpWXWlDm1aP3McPHyqjNdj59TrBpKwERsSYePn2OTx948yQTSI0C127UZ07Ic1vv6/ryfVY7aqL7nBISurbiIvqmY2jIleGJnnJZlqcuQYfyjN5yn4TBmws0X9CJ0b2yHwAsnW1/ThLf5SF3ofsatL8vrN0h713ONPbJ2TEodcJbj1rVK/N4VQWTn3JHRGDELibQJfUt5EzIsZvnKcrKJilHuj8f7vnLEx6nbsiZSjiortcLhkJ0Rh0gvT4KMot7QFdT64mIK75VDd30GFzcNX0bF7fGX4dbBW5MjQZmRxDUWnXItdrxsc5S3+AWhnPv+zns9sxjrm6L2k3ZxJ+O5neR1nofUiBfho5VJMuGrx3ONPbx6TFsWfFJcwbl+r/5ggRLI78ZCIwoo16shPNXhZ6sH6mi2flsGn5hfz6xplhnz/RbAxLzMFloWsul+qmDjISotn8owUcW3UFm5Zf6OcWSYuPwqATbkE/Wq3dlK6ckRV27XIVuTJ0eWDBeG6ck+fOG/m7fQGt0kSKaCJPVLHLMRYJxLSVD6iSAErQ+5BdhmnMNBR7b3QWsHIRY+rdhybfJrk9rfviy6iUGIprW2jttFHX0hk0Hr23zu/C04de1dSulQUIgV4nyEqKprReq7r47IaDxEcZmJ6bxGNXTQl40zl/YpcrJ1LzVgxMTstM4Inrp7PquunkJJl52zGfJ4330WrOYqY4zG7H2K5sYVdJgAEg6srl0kdUNbVT2qLjzlnToSxPc7M4Y6L7ui5EJCMwRqXE8kFRudsXHcxC763zu9BcLprPs6qxgzFpwTsLuchxtqr7x9bjbDlax6prp5EcawoaLZQ7wswnB6q5YGIaf/z6mRGdv2Jg4v1dvQJ4nBk/W8bbzanO8hIN2i5XR7F+rvGiBL2P2OXs/j7rrPNhdFG/ziWS5KfGUN9qZV+55m8MR9B7g3ifsMWzxiSHHL+2oJTdJyy0We3s+KqeCRlx3HhGV6/zQDedQ5VahuiEHuYHKIYWszp3AFexyzGWS/Q73NsHQrJRWC4XIcSlQogDQojDQojlAfYnCiHeFkLsFkLsFUJ8PfJTHVjUt3QGXOBrt9oDRj6s31tJfJSBqR4Ni4cCriYOmw9rq/2uxca+Ji7KQLvVQUuHDUubVavzEgTfWHyJFqnz1q6ykOfISjKTHh/Vq2scioHPlCQrBmzsdoz12l7mSAm7l29vEU6TaD3wW+AyYDJwsxBiss+wbwH7pJQzgPOBXwkhhnSblp+sLeLq5zfR7hPT/bN393HR059S29yV3NLaaeP9onKumJ5FdDfhey7WFpQyb9VH5C9/l3mrPhqw9bRdsegbD9dg1At3W7i+JtYZbnjMWQAs1DwCxeJ32BzdFjGLizKw9ccXBQyLVAwfoi96hNN0JeyS49zbpAQz7Vxs/5QnP/jS/TTX14RjoZ8JHJZSHpVSdgKvAr5FqiUQL7QA5DigDrBFdKYDCIdDsvlIDTXNHby1q0toa5o7WLO9hNZOO3/3aOC8fm8FrZ12r/TwUJxsGdz+wJXRWer0Net6WIEwUsRF+wh6iEXRSMbiK4Yh029gxpgcdjvGYndo33chIEXXzCrjy2Q3FnDxM5+x46vA5Zt7k3AEPQc44fG6xLnNk+eBSUAZsAf4jpTSL7VOCLFUCLFdCLG9urrad/eg4Uh1M/WtVvQ6wcufH0M608H/+sVXdNocTMpK4C9fFLut93/vKCUv2cycUSNCHdbNyZbB7Q/MJr275G5/+c9B86FDV/hhKJdLsNhxFVOuCJcZM0+nGTPHyPLaHiM6ydBp60nrdvW9ARaOoAcyuXzzoxcCu4BsYCbwvBAiwWcMUsrVUso5Uso5aWmD97F1a7HWjOJbF4zjUFUznxyspt1q569bvmLBaen85IpJ1DR38tauUsotbWw6UsO1s3JDWq+eLpZgyTcD1YJ01VLvLmSxN3FZ6EdrtEqIoVwukYzFVwxPZuUlAbBLevvRpYSdds0V82ZBKXZH4FISvUU4gl4C5Hm8zkWzxD35OvCG1DgMHANOi8wUBx5bj9WRFh/FyBFmhICv/3Ebp/3fB9S1dDIpK4Gzx6YwKSuBlz8/xhs7S5ESrp0dfOXb18USjIFoQa4tKGVPqdZI4v2iin5zC3n60IXQekMGo7di4RXDhz0lFmJoZ5djnNf2IzKbcrROWI3tNp7+sG+fqsMJW9wGjBdC5AOlwE3ALT5jjgMLgM+FEBnAROBoJCc6UJBSsvVYHTlJZn705h58G/W8+MlhxqXHce85+XxvzW5e+PgwZ4we4Y4GCUQgF4svA9GC9I0WaWq39VvvTE+XS0psFAZ9aFtFVUNUnCxrC0r58doiYmmnwEfQP3bM8Hr9p03FPLSw72zbbi10KaUNuB9YD+wH1kgp9wohlgkhljmH/RQ4WwixB9gAPCylrOmtSfcnJfVtlFvaOVbTErAyn01qAn3l9GwyEqJoCWMxNJQrZSBbkAPJ1+9yuTR32Pot0kYxPHB972tIYp8cxX57Hg4pqHXEsckxjTyq2Gh6gGyqaem0Y7M7+ixqLazEIinle8B7Ptte9Pi7DLgkslMbmGxz+s8tzo7ui3QbSaSVLXIyvzf8kqft1/N2w3xMBh3LzhvLcxsOcfm0rFCHDFowKyfJzKblF0b+Q0SIgRQt4lklsbu0f4XiVPD8fkt0XGZ9gkW6jfzM8Ao7HBO4Ur+FXF0NDxte5Tu2b/Or/xzkT5uLI9KDoDtUpmgP2VZcR0K0gbgoA3Oa/ssq48tevUFX6V4m2WgCruDOs0dz61mjMBlCPwiF22looBHJyo2nSqxHDZyeWOjBujcpFMEI9L2/T7+OQ+TRRAzzdZpYL9RvJ8bWzp+/KI5YD4LuUMW5usH3UWnD/irOGJ3MDy89jRXGv3iJOWhhSz80vgaAEKJbMYfBu0g3kKJFdDpBrLMyY1qYgj6Y4v0VA4dA3/v1jjPY6JiKwMHZOq0JerSwcoluO62dgdfHeuNJVlnoIQjUrg0gxqRnsX4TUjQHfF9MW0XA7aEYjIt0A613Zly0gZZOe8gYdE8i2b1JMXzw/d5HGXT8wX4FeVQyVRQzwkMXLo8/wlrL/IDH6Y0nWSXoIQgWfbLlaB1UrgwYoA+465sPBwbSjSguykAlHWG7XAbSGoBicOH5vS8qtXDlbzayl3yW6dd1DTKamXbBElgLRp3A6hGT3ltPssrlEoJgP+zq5g53l6GAeNQ3V/QdcdFaY4pwF0VVxqgiEkzNSeTiyRkAnBNfAQitreRVz5F51vXEmPR8bWxKn7hUlYUeglDRJ0TlaoXtfTEn93tN5OFKXJTm1/R1uQRb+Bysi9GKgcePL59ETpKZMy5/EzzWzQQwJi0WIUSfRKwpCz0EgRY/THqd9oNf8KjWbcgToxkue6IPZ6jwxBW66LkoGmrhc7AuRisGHqNTY1mxaErAIIixaXEcqQ683hZplIUeAtcP+8kPvqTM0o5RL3jiOtcP3mmFb1jZr92HFF3ERRmJjzZ4lSjubuFzIK0BKIYmY9PiWLe7jLZOe9g9ck8WJejdsHhWDmaTnm/8dQe/umEmi2Zkd+2cfoMS8AHE1+eN5twJ3s0n1MKnor8ZkxaLlFqdocnZfjULI4oS9G6QUvLip0fISzZz+dTM/p6OIgRTcxL9OkINpOQnxfBh27qXyNv5FOmymkQ5A3iYozXNvS7oyocegNrmDvaWWaht7mDrhn9TcLyBext/h+G56QOis7cifAZS8pNieLBt3UtM3fETMqlGJ+AMsQ+Bg88+/6TXz60sdB+KSi3c8vstNLa7Gi6ZSaaRJfpPwNIJbz+gbVaulkHBQEt+Ugx98nY+hdkjgzxaWMkVNTSUBoiKizBK0OkKayttaEMISDIbefammdS9+ziVrYK5un1d/0DWNm0hVAn6oEEtfCr6knRZ7dcWaIwoo1Qm9/q5h72g+3WAl9DaaUdK+Lp1DRgDtJwIlVSkUCiGNVUijUy8W2yOFWX8zzEJh0P2at/dYe9DDxTWttDxGXPfOg//TntOhlFqv0Kh6BknZj9Em/TumDVSVNFOFBWN7b167mEv6L7ha4t0G1llfNnvDuvGaFap/QqFIihnLPoGRaf/jArScEhBBWkw8QqAXk8wGvYuF9+wth8a1viVxHWTmKeShxQKRbecsegbsOgbAGQClze1s2LvBo5UNXPO+LReO++wt9AfWjgRg4dPK1sE65wn4MEiJeYKhaLHpMVFER9t4Eh1S6+eJyxBF0JcKoQ4IIQ4LIRYHmTM+UKIXUKIvUKITyM7zd5j8awcpuYkotcJBNqCRkCU31yhUJwE29a9ROXj4xnbsZ/9Wz9k27qXeu1c3bpchBB64LfAxUAJsE0IsU5Kuc9jTBLwAnCplPK4ECK9l+YLRL5tmKXNysWTMnjx/50OhS1arLnVw7eu/OYKheIkcCUZmUUnY0Q5mx1TOH3Ht3l15wair36mX1rQnQkcllIelVJ2Aq8CV/uMuQV4Q0p5HEBKWRXRWXoQ6bZhTe1WjtW0MMWVkjv9BrjqOc1f7lHXWLlaFApFT/FMMhqrK6OCFFqJ5ka5npY3vxPxdofhCHoO4JniVOLc5skEYIQQ4hMhxA4hxO2RmqAvoarnnQz7yhoBmLptOaxIgmemajseLIIVDcpvrlAoTpp02RUtN1aUAXBUZiEE3CI+xL7uexE9XziCHigK3jdA2wCcDlwBLAT+Twgxwe9AQiwVQmwXQmyvrg4SFtgNka6et3e75u6f0rYNkFrTircfUDVbFArFKeO5JjdWlGPERoUzY1QIuMbxQUS1JhxBLwHyPF7nAmUBxnwgpWyRUtYAnwEzfA8kpVwtpZwjpZyTlnZyoTuRbhtWtK+IdOpJF5aujdY2Kt54hPzl7zJv1UeqC7xCoTgpTsx+CFcr0bGijP1Rd3KJfod7v06glRKJEOEI+jZgvBAiXwhhAm4C1vmMeQs4RwhhEELEAGcB+yM2Sw8iXT1vb0c6U3TFftvTZU1EfPQKhWL4csaib3Bs9E1IQCckBuHwHxTBUiLdCrqU0gbcD6xHE+k1Usq9QohlQohlzjH7gQ+AQmAr8LKUsihis/QgnLZhVY3tzP7ph2zYXxnyWO1WO4dlNlNFsd++Mpni/vtUfPQKhWJ4M/brLyHm3B2skAit5sj1WQgrU1RK+R7wns+2F31ePwU8FbGZhaC76nmfHaqhrqWTp9Yf4IKJ6UGL4XxZ0YQdPVOM3tZ3qzTxpM17IVR1uFEoFCfNlU/zxo5SrnF8gKcctUoTT1pvZEWETjMkM0W3HK0FNMH+bwgrvahU85tPueQud5hiBWkst97DOsd8r7Gqw41CoTgVftB2O9+13keJIxWHFJQ4UlluvYc/N58ZsXMMyVouXxyp5aJJGRyqauI3Hx3m4skZCOFvpe8ts5BoNpL7tevh7CUAbCko5cM39oCjKzRSdbhRKBSnSnaSmXUN81nX6W0s5kTQWBxyFvqJulZKG9qYPy6Fb50/jj2lFj45qIVISikpOF7Pf/dV8p+9FWw9VsfUnAQvsQ/HR69QKBQ9pS/aIQ45C/0Lp7vla2NTGZMWy7MbDvHchkPojn3Os5sq2Wkd5TX+imlZfsdQHW4UCkWk6Yt2iENO0LccrSU51sT49Dh0OsE3zx/LT9YWccfxaHKI4aeGV5ipO4IwmNCf9xDj5o/v7ykrFIphQm8bi0NK0KWUbDlSy9wxye7IliVzctm7/g9Ms+7hev2nmITTN+4Adj4O5y3pvwkrFApFBBlSgn6iro0ySzvLxnTFkEcZ9PxcPocw+EeBSktJwLoGCoVCMRgZtIIeqIRuh02zvr82JgXe+R7s+BNIe9BjVJJK5EL6FQqFon8ZlILuKqHrqrroSs+fkp1AapyJce/fCsVdPTYEIKVWDMdFqzTxC+sSnu3juSsUCkVvMSgFPVgJ3YLjDVyaZ0UU+zdMEkITdYmgTKbwpO0GdiRc3FdTVigUil5nUAp6sDR8u5TMLf8b6APuBmBMx98BLf7zFypZSKFQDCEGpaBnJ5kp9RH100QxZ+gOcZVuU9D32YUO4Xx/pOM/FQqFor8ZlIL+0MKJXj50gD+YniZH1IR8n2HO1zl25RW9PT2FQqHoFwZl6r8rPd+k16afk2QmW9QGHS+BypS5cOXTfTRDhUKh6HsGpaCDJupx0QZuPnMkm5ZfiEjMDTjOJnV8p/M+zq96UDWpUCgUQ5pBK+h1LZ3UtXQyNi1W27DgUTB6Vy1rlSa+Z13GOsd81aRCoVAMeQalDx3gaHUzAGPT4rQN050NKTasxNFQ4g5N9KxrrppUKBSKocygFfQjvoIOmqhPv4FzVn3kFwUDqkmFQqEY2gxal8uRfTswYSXnuRx4ZioUrnHv64u6wwqFQjHQCEvQhRCXCiEOCCEOCyGWhxh3hhDCLoS4PnJTDEDhGo4c3McYUY5eOMByAt5+wC3qqkmFQqEYjnTrchFC6IHfAhcDJcA2IcQ6KeW+AOOeANb3xkS92LCSI44HmSKKu7ZZ22DDSrcvXTWpUCgUw41wLPQzgcNSyqNSyk7gVeDqAOO+DfwbqIrg/ALS0VDBcZnOWFHmvcNS0tunVigUigFLOIuiOcAJj9clwFmeA4QQOcA1wIXAGcEOJIRYCiwFGDlyZE/n6uaruBk4OnSM1fkIukcseqDyuspiVygUQ5lwLPRAPSB8u0X8GnhYyhDFxwEp5Wop5Rwp5Zy0tLQwp+jP0cn3AXhb6EazFotOV3nd0oY2JF3ldVVikUKhGMqEI+glQJ7H61zAxzRmDvCqEKIYuB54QQixOBITDMSRmBkA5CfqAQGJeXDVc27/ebDyuiqxSKFQDGXCcblsA8YLIfKBUuAm4BbPAVLKfNffQog/Ae9IKddGbpreHKlqJjsxmtjv7wy4P1gCkUosUigUQ5luLXQppQ24Hy16ZT+wRkq5VwixTAixrLcnGIgj1c2MTY8Luj8pxhhwu0osUigUQ5mwMkWllO8B7/lsezHI2DtPfVqBWVtQypMffEmZpZ1Yk561BaV+C51rC0ppbrf5vdeoFyqxSKFQDGkGTaaoa6GzzNIOwDfs/2TR2im0PnGaV5boU+sPYHX4rtlCrMmgolwUCsWQZtAIumuh82tiDwBzdAfRCUlMW7lXlmgwP7mlzdpnc1UoFIr+YNAIukuol+g/Z5Io9o5Bd2WJEtxPrvznCoViqDNoBN0lyIv1G3k/6hEyRIP3AGeWqCrMpVAohiuDRtBdQl0mUwMPSMx1Z4e2We3ohZYPpQpzKRSK4cKgEXRXBcWXTbfRKk3eO41mto39tjs7FMAupdsyV2KuUCiGA4NG0EET9RU/eZyY636rZYd6ZIl+d994lR2qUCiGNYOzY5GzM5EnZf94N+BQlR2qUCiGC4PKQg+Fim5RKBTDnSEj6Cq6RaFQDHcGp8slAK6FT1UDXaFQDFcGl6AXrtESiCwlWjOLBY96+dJV2zmFQjGcGTyCXrhGS/G3Ohc5XY2hwW+BVKFQKIYjg8eHvmFll5i78Ej5VygUiuHO4BH0YA2gVWNohUKhAAaToHs0gA5ru0KhUAwzBo+gL3hUawTtiUdjaIVCoRjuDB5Bn36D1gjaJ+VfLYgqFAqFRlhRLkKIS4FnAT3wspRylc/+W4GHnS+bgW9KKXdHcqJAwJR/hUKhUGh0a6ELIfTAb4HLgMnAzUKIyT7DjgHnSSmnAz8FVkd6ogqFQqEITTgulzOBw1LKo1LKTuBV4GrPAVLKzVLKeufLLYBaqVQoFIo+JhxBzwFOeLwucW4Lxt3A+4F2CCGWCiG2CyG2V1dXhz9LhUKhUHRLOIIuAmyTAQcKcQGaoD8caL+UcrWUco6Uck5aWlr4s1QoFApFt4SzKFoC5Hm8zgXKfAcJIaYDLwOXSSlrIzM9hUKhUISLkDKgsd01QAgDcBBYAJQC24BbpJR7PcaMBD4CbpdSbg7rxEJUA1+d5LxTgZqTfG9vM1DnpubVM9S8es5AndtQm9coKWVAF0e3FrqU0iaEuB9Yjxa2+IqUcq8QYplz/4vAo0AK8ILQmjPbpJRzujnuSftchBDbuzt+fzFQ56bm1TPUvHrOQJ3bcJpXWHHoUsr3gPd8tr3o8fc9wD2RnJhCoVAoesbgyRRVKBQKRUgGq6AP5MSlgTo3Na+eoebVcwbq3IbNvLpdFFUoFArF4GCwWugKhUKh8EEJukKhUAwRBoWgCyGWCCH2CiEcQoigYT5CiEuFEAeEEIeFEMv7aG7JQogPhRCHnP8fEWRcsRBijxBilxBiey/NJeTnFxrPOfcXCiFm98Y8TnJu5wshLM7rs0sI0euF7oUQrwghqoQQRUH29+f16m5u/XG98oQQHwsh9jt/j98JMKZfrlmYc+uPaxYthNgqhNjtnNfjAcZE7ppJKQf8f8AkYCLwCTAnyBg9cAQYA5iA3cDkPpjbk8By59/LgSeCjCsGUntxHt1+fuBytDo7ApgL/K+P/v3Cmdv5wDt9/L06F5gNFAXZ3y/XK8y59cf1ygJmO/+OR0s4HCjfsXDm1h/XTABxzr+NwP+Aub11zQaFhS6l3C+lPNDNsG6rQvYSVwN/dv79Z2BxH5wzEOF8/quBv0iNLUCSECJrgMytz5FSfgbUhRjSX9crnLn1OVLKcinlTuffTcB+/Av19cs1C3NufY7zOjQ7Xxqd//lGokTsmg0KQQ+TnlaFjBQZUspy0L5UQHqQcRL4jxBihxBiaS/MI5zP31/XKNzzfs35aPq+EGJKH8yrO/rreoVLv10vIcRoYBaaxelJv1+zEHODfrhmQgi9EGIXUAV8KKXstWsWVqZoXyCE+C+QGWDXj6WUb4VziADbIhKTGWpuPTjMPCllmRAiHfhQCPGl0wqLFOF8/l67Rt0Qznl3otWoaBZCXA6sBcb39sS6ob+uVzj02/USQsQB/wa+K6Vs9N0d4C19ds26mVu/XDMppR2YKYRIAt4UQkyVUnqujUTsmg0YQZdSXnSKhwirKuTJEGpuQohKIUSWlLLc+ZhUFeQYZc7/Vwkh3kRzQ0RS0MP5/L12jbqh2/N6/viklO8JIV4QQqRKKfuzqFJ/Xa9u6a/rJYQwognm36WUbwQY0m/XrLu59fd3TErZIIT4BLgU8BT0iF2zoeRy2QaMF0LkCyFMwE3Auj447zrgDuffdwB+TxNCiFghRLzrb+ASvP9BI0E4n38dcLtzVX0uYHG5i3qZbucmhMgUQqvsJoQ4E+272d9lmPvrenVLf1wv5/n+AOyXUj4dZFi/XLNw5tZP1yzNaZkjhDADFwFf+gyL3DXryxXfk/0PuAbtLtYBVALrnduzgfc8xl2Otrp9BM1V0xdzSwE2AIec/0/2nRtadMdu5397e2tugT4/sAxYJrtW3H/r3L+HIBFD/TS3+53XZjdaG8Oz+2BO/wTKAavz+3X3ALpe3c2tP67XfDRXQCGwy/nf5QPhmoU5t/64ZtOBAue8ioBHndt75Zqp1H+FQqEYIgwll4tCoVAMa5SgKxQKxRBBCbpCoVAMEZSgKxQKxRBBCbpCoVAMEZSgKxQKxRBBCbpCoVAMEf5/S4gyLa2OqUoAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_61_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1096,90 +1094,82 @@
       "Polynomial degree: 2\n",
       "Error: 0.10398646080125037\n",
       "Bias^2: 0.10077114273548984\n",
-      "Var: 0.0032153180657605125\n",
-      "0.10398646080125037 >= 0.10077114273548984 + 0.0032153180657605125 = 0.10398646080125036\n",
+      "Var: 0.0032153180657605116\n",
+      "0.10398646080125037 >= 0.10077114273548984 + 0.0032153180657605116 = 0.10398646080125036\n",
       "Polynomial degree: 3\n",
       "Error: 0.06547790180152352\n",
-      "Bias^2: 0.06208238634231944\n",
-      "Var: 0.003395515459204093\n",
-      "0.06547790180152352 >= 0.06208238634231944 + 0.003395515459204093 = 0.06547790180152353\n",
+      "Bias^2: 0.062082386342319454\n",
+      "Var: 0.0033955154592040923\n",
+      "0.06547790180152352 >= 0.062082386342319454 + 0.0033955154592040923 = 0.06547790180152355\n",
       "Polynomial degree: 4\n",
-      "Error: 0.06844519414009442\n",
+      "Error: 0.06844519414009445\n",
       "Bias^2: 0.06453579006728322\n",
-      "Var: 0.003909404072811217\n",
-      "0.06844519414009442 >= 0.06453579006728322 + 0.003909404072811217 = 0.06844519414009444\n",
+      "Var: 0.003909404072811221\n",
+      "0.06844519414009445 >= 0.06453579006728322 + 0.003909404072811221 = 0.06844519414009444\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "Polynomial degree: 5\n",
-      "Error: 0.052279218012057004\n",
-      "Bias^2: 0.048187277304303056\n",
-      "Var: 0.004091940707753948\n",
-      "0.052279218012057004 >= 0.048187277304303056 + 0.004091940707753948 = 0.052279218012057004\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Error: 0.05227921801205679\n",
+      "Bias^2: 0.04818727730430286\n",
+      "Var: 0.004091940707753925\n",
+      "0.05227921801205679 >= 0.04818727730430286 + 0.004091940707753925 = 0.05227921801205679\n",
       "Polynomial degree: 6\n",
-      "Error: 0.037813671417388985\n",
-      "Bias^2: 0.033657685071527624\n",
-      "Var: 0.004155986345861364\n",
-      "0.037813671417388985 >= 0.033657685071527624 + 0.004155986345861364 = 0.03781367141738899\n",
+      "Error: 0.03781367141738902\n",
+      "Bias^2: 0.03365768507152769\n",
+      "Var: 0.0041559863458613296\n",
+      "0.03781367141738902 >= 0.03365768507152769 + 0.0041559863458613296 = 0.03781367141738902\n",
       "Polynomial degree: 7\n",
-      "Error: 0.027609773491022407\n",
-      "Bias^2: 0.0229994982603662\n",
-      "Var: 0.004610275230656187\n",
-      "0.027609773491022407 >= 0.0229994982603662 + 0.004610275230656187 = 0.027609773491022387\n",
+      "Error: 0.027609773491022394\n",
+      "Bias^2: 0.022999498260366198\n",
+      "Var: 0.004610275230656182\n",
+      "0.027609773491022394 >= 0.022999498260366198 + 0.004610275230656182 = 0.02760977349102238\n",
       "Polynomial degree: 8\n",
-      "Error: 0.017355848195593354\n",
-      "Bias^2: 0.010331721306655144\n",
-      "Var: 0.0070241268889382116\n",
-      "0.017355848195593354 >= 0.010331721306655144 + 0.0070241268889382116 = 0.017355848195593354\n",
-      "Polynomial degree:"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " 9\n",
-      "Error: 0.026605727637184613\n",
-      "Bias^2: 0.010018312644139205\n",
-      "Var: 0.016587414993045405\n",
-      "0.026605727637184613 >= 0.010018312644139205 + 0.016587414993045405 = 0.02660572763718461\n",
+      "Error: 0.017355848195593312\n",
+      "Bias^2: 0.010331721306655165\n",
+      "Var: 0.007024126888938144\n",
+      "0.017355848195593312 >= 0.010331721306655165 + 0.007024126888938144 = 0.01735584819559331\n",
+      "Polynomial degree: 9\n",
+      "Error: 0.026605727637184558\n",
+      "Bias^2: 0.010018312644139219\n",
+      "Var: 0.016587414993045335\n",
+      "0.026605727637184558 >= 0.010018312644139219 + 0.016587414993045335 = 0.026605727637184554\n",
       "Polynomial degree: 10\n",
-      "Error: 0.021592704588021167\n",
-      "Bias^2: 0.010516485576646513\n",
-      "Var: 0.01107621901137465\n",
-      "0.021592704588021167 >= 0.010516485576646513 + 0.01107621901137465 = 0.021592704588021164\n",
+      "Error: 0.021592704588021178\n",
+      "Bias^2: 0.010516485576646504\n",
+      "Var: 0.01107621901137467\n",
+      "0.021592704588021178 >= 0.010516485576646504 + 0.01107621901137467 = 0.021592704588021174\n",
       "Polynomial degree: 11\n",
-      "Error: 0.07160048164232467\n",
-      "Bias^2: 0.014436800088896274\n",
-      "Var: 0.057163681553428394\n",
-      "0.07160048164232467 >= 0.014436800088896274 + 0.057163681553428394 = 0.07160048164232467\n",
+      "Error: 0.07160048164232538\n",
+      "Bias^2: 0.014436800088896381\n",
+      "Var: 0.05716368155342902\n",
+      "0.07160048164232538 >= 0.014436800088896381 + 0.05716368155342902 = 0.0716004816423254\n",
       "Polynomial degree: 12\n",
-      "Error: 0.11547777218875695\n",
-      "Bias^2: 0.016285782696017055\n",
-      "Var: 0.0991919894927399\n",
-      "0.11547777218875695 >= 0.016285782696017055 + 0.0991919894927399 = 0.11547777218875696\n",
+      "Error: 0.11547777218876518\n",
+      "Bias^2: 0.016285782696017142\n",
+      "Var: 0.09919198949274803\n",
+      "0.11547777218876518 >= 0.016285782696017142 + 0.09919198949274803 = 0.11547777218876518\n",
       "Polynomial degree: 13\n",
-      "Error: 0.2284246870217459\n",
-      "Bias^2: 0.019754165271682844\n",
-      "Var: 0.20867052175006306\n",
-      "0.2284246870217459 >= 0.019754165271682844 + 0.20867052175006306 = 0.2284246870217459\n"
+      "Error: 0.2284246870217162\n",
+      "Bias^2: 0.01975416527168255\n",
+      "Var: 0.20867052175003364\n",
+      "0.2284246870217162 >= 0.01975416527168255 + 0.20867052175003364 = 0.2284246870217162\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
-       "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_62_3.png"
-      },
-      "needs_background": "light"
+       "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_62_2.png"
+      }
      },
      "output_type": "display_data"
     }
@@ -1307,9 +1297,9 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -1406,7 +1396,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Degree of polynomial:   1\n",
+      "Degree of polynomial:   1"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
       "Mean squared error on training data: 439230.69504801\n",
       "Mean squared error on test data: 481979.17861098\n",
       "Degree of polynomial:   2\n",
@@ -1423,16 +1420,16 @@
       "Mean squared error on test data: 5.98822371\n",
       "Degree of polynomial:   6\n",
       "Mean squared error on training data: 3.66204648\n",
-      "Mean squared error on test data: 8.14812206\n"
+      "Mean squared error on test data: 8.14812206\n",
+      "Degree of polynomial:   7\n",
+      "Mean squared error on training data: 0.47075725\n",
+      "Mean squared error on test data: 2.00607783\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Degree of polynomial:   7\n",
-      "Mean squared error on training data: 0.47075725\n",
-      "Mean squared error on test data: 2.00607783\n",
       "Degree of polynomial:   8\n",
       "Mean squared error on training data: 0.04912436\n",
       "Mean squared error on test data: 0.21596432\n",
@@ -1447,100 +1444,99 @@
       "Mean squared error on test data: 1.35533773\n",
       "Degree of polynomial:  12\n",
       "Mean squared error on training data: 0.00813803\n",
-      "Mean squared error on test data: 0.17446471\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Mean squared error on test data: 0.17446471\n",
       "Degree of polynomial:  13\n",
       "Mean squared error on training data: 0.00759119\n",
       "Mean squared error on test data: 1.08131003\n",
       "Degree of polynomial:  14\n",
       "Mean squared error on training data: 0.00472199\n",
-      "Mean squared error on test data: 0.81333804\n",
+      "Mean squared error on test data: 0.81333804\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "Degree of polynomial:  15\n",
       "Mean squared error on training data: 0.00410478\n",
-      "Mean squared error on test data: 92.09172408\n",
+      "Mean squared error on test data: 92.09172409\n",
       "Degree of polynomial:  16\n",
       "Mean squared error on training data: 0.00315593\n",
-      "Mean squared error on test data: 234.38533184\n",
+      "Mean squared error on test data: 234.38533185\n",
       "Degree of polynomial:  17\n",
       "Mean squared error on training data: 0.00242999\n",
-      "Mean squared error on test data: 1271.35771842\n",
+      "Mean squared error on test data: 1271.35771826\n",
       "Degree of polynomial:  18\n",
-      "Mean squared error on training data: 0.00228741\n",
-      "Mean squared error on test data: 108.27092897\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "Mean squared error on training data: 0.00228742\n",
+      "Mean squared error on test data: 108.27092910\n",
       "Degree of polynomial:  19\n",
-      "Mean squared error on training data: 0.00156382\n",
-      "Mean squared error on test data: 1371.99049330\n",
+      "Mean squared error on training data: 0.00156376\n",
+      "Mean squared error on test data: 1371.99051150\n",
       "Degree of polynomial:  20\n",
-      "Mean squared error on training data: 0.00137823\n",
-      "Mean squared error on test data: 1887.85953586\n",
-      "Degree of polynomial:  21\n",
-      "Mean squared error on training data: 0.00118504\n",
-      "Mean squared error on test data: 14859.70127680\n",
-      "Degree of polynomial:  22\n",
-      "Mean squared error on training data: 0.00092645\n",
-      "Mean squared error on test data: 876.51214899\n",
-      "Degree of polynomial:  23\n",
-      "Mean squared error on training data: 0.00085883\n",
-      "Mean squared error on test data: 5594.60685864\n",
-      "Degree of polynomial:  24\n",
-      "Mean squared error on training data: 0.00084711\n",
-      "Mean squared error on test data: 1277.60619654\n"
+      "Mean squared error on training data: 0.00137818\n",
+      "Mean squared error on test data: 1887.86252988\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Degree of polynomial:  21\n",
+      "Mean squared error on training data: 0.00118508\n",
+      "Mean squared error on test data: 14859.69908626\n",
+      "Degree of polynomial:  22\n",
+      "Mean squared error on training data: 0.00092647\n",
+      "Mean squared error on test data: 876.51191552\n",
+      "Degree of polynomial:  23\n",
+      "Mean squared error on training data: 0.00085889\n",
+      "Mean squared error on test data: 5594.60815105\n",
+      "Degree of polynomial:  24\n",
+      "Mean squared error on training data: 0.00084705\n",
+      "Mean squared error on test data: 1277.61702282\n",
       "Degree of polynomial:  25\n",
-      "Mean squared error on training data: 0.00079130\n",
-      "Mean squared error on test data: 128664.09744272\n",
+      "Mean squared error on training data: 0.00079129\n",
+      "Mean squared error on test data: 128664.31650694\n",
       "Degree of polynomial:  26\n",
-      "Mean squared error on training data: 0.00076919\n",
-      "Mean squared error on test data: 19003.95079764\n",
+      "Mean squared error on training data: 0.00076905\n",
+      "Mean squared error on test data: 19003.94822514\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "Degree of polynomial:  27\n",
-      "Mean squared error on training data: 0.00068941\n",
-      "Mean squared error on test data: 2379.66226149\n",
+      "Mean squared error on training data: 0.00068946\n",
+      "Mean squared error on test data: 2379.66219404\n",
       "Degree of polynomial:  28\n",
-      "Mean squared error on training data: 0.00062582\n",
-      "Mean squared error on test data: 4082.19994371\n",
+      "Mean squared error on training data: 0.00062595\n",
+      "Mean squared error on test data: 4082.19983530\n",
       "Degree of polynomial:  29\n",
-      "Mean squared error on training data: 0.00060708\n",
-      "Mean squared error on test data: 3250.24770094\n"
+      "Mean squared error on training data: 0.00060705\n",
+      "Mean squared error on test data: 3250.17647619\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":73: RuntimeWarning: divide by zero encountered in log10\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/626635268.py:73: RuntimeWarning: divide by zero encountered in log10\n",
       "  plt.plot(polynomial, np.log10(trainingerror), label='Training Error')\n",
-      ":74: RuntimeWarning: divide by zero encountered in log10\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/626635268.py:74: RuntimeWarning: divide by zero encountered in log10\n",
       "  plt.plot(polynomial, np.log10(testerror), label='Test Error')\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
-       "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_65_6.png"
-      },
-      "needs_background": "light"
+       "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_65_7.png"
+      }
      },
      "output_type": "display_data"
     }
@@ -1726,16 +1722,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_71_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1851,22 +1846,21 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":63: RuntimeWarning: divide by zero encountered in log10\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3817475779.py:63: RuntimeWarning: divide by zero encountered in log10\n",
       "  plt.plot(polynomial, np.log10(estimated_mse_sklearn), label='Test Error')\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_73_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -2325,9 +2319,9 @@
       "Fitted beta: [2.08376632 0.19569961 3.97898392]\n",
       "Sklearn fitted beta: [2.08376632 0.19569961 3.97898392]\n",
       "MSE with intercept column\n",
-      "0.00411363461744314\n",
+      "0.004113634617443139\n",
       "MSE with intercept column from SKL\n",
-      "0.004113634617443116\n",
+      "0.004113634617443147\n",
       "Manual intercept: 2.083766322923899\n",
       "Fitted beta (wiothout intercept): [0.19569961 3.97898392]\n",
       "Sklearn intercept: 2.0837663229239043\n",
@@ -2340,16 +2334,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_107_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -2532,9 +2525,9 @@
       "Beta values for own Ridge implementation\n",
       "[ 1.03032441e+00  6.28336218e-02 -6.24175744e-01  5.21169159e-02\n",
       "  2.80847477e-01  2.12552073e-01  8.13220608e-02 -1.69634577e-02\n",
-      " -6.50846111e-02 -7.38962192e-02 -5.94226022e-02 -3.50227564e-02\n",
-      " -9.80609616e-03  1.08299273e-02  2.41882036e-02  2.93492130e-02\n",
-      "  2.64742912e-02  1.63249532e-02 -5.01831036e-05 -2.15098090e-02]\n",
+      " -6.50846112e-02 -7.38962192e-02 -5.94226022e-02 -3.50227564e-02\n",
+      " -9.80609616e-03  1.08299273e-02  2.41882037e-02  2.93492130e-02\n",
+      "  2.64742912e-02  1.63249532e-02 -5.01831251e-05 -2.15098090e-02]\n",
       "Beta values for Scikit-Learn Ridge implementation\n",
       "[ 1.03032441e+00  6.28336218e-02 -6.24175744e-01  5.21169159e-02\n",
       "  2.80847477e-01  2.12552073e-01  8.13220608e-02 -1.69634577e-02\n",
@@ -2542,7 +2535,7 @@
       " -9.80609615e-03  1.08299273e-02  2.41882037e-02  2.93492130e-02\n",
       "  2.64742912e-02  1.63249532e-02 -5.01831207e-05 -2.15098090e-02]\n",
       "MSE values for own Ridge implementation\n",
-      "4.363295924430451e-07\n",
+      "4.3632959215700067e-07\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "4.363295916323784e-07\n",
       "Beta values for own Ridge implementation\n",
@@ -2556,7 +2549,7 @@
       " -0.05009826 -0.04389027 -0.03279636 -0.01866537 -0.00289724  0.01348565\n",
       "  0.02976145  0.04543942]\n",
       "MSE values for own Ridge implementation\n",
-      "5.19404282648955e-06\n",
+      "5.194042827197027e-06\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "5.1940428268204826e-06\n",
       "Beta values for own Ridge implementation\n",
@@ -2570,7 +2563,7 @@
       "  0.00107405 -0.00526348 -0.00992331 -0.01318643 -0.01531845 -0.01655318\n",
       " -0.01708852 -0.01708781]\n",
       "MSE values for own Ridge implementation\n",
-      "2.094082198966615e-05\n",
+      "2.0940821989643363e-05\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "2.094082198961999e-05\n",
       "Beta values for own Ridge implementation\n",
@@ -2584,7 +2577,7 @@
       "  0.01458337  0.01223198  0.00996754  0.00784393  0.00588657  0.00410387\n",
       "  0.00249435  0.00105081]\n",
       "MSE values for own Ridge implementation\n",
-      "0.0003153514830958235\n",
+      "0.0003153514830957865\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "0.00031535148309580783\n",
       "Beta values for own Ridge implementation\n",
@@ -2600,7 +2593,7 @@
       " -1.84923989e-03 -8.13661243e-04  7.46984697e-06  6.56636616e-04\n",
       "  1.16805821e-03  1.56912044e-03  1.88168312e-03  2.12318726e-03]\n",
       "MSE values for own Ridge implementation\n",
-      "0.015072388895177239\n",
+      "0.015072388895177157\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "0.0150723888951771\n",
       "Beta values for own Ridge implementation\n",
@@ -2614,23 +2607,22 @@
       " 0.00719176 0.00630331 0.00556826 0.0049544  0.00443743 0.0039987\n",
       " 0.0036237  0.003301  ]\n",
       "MSE values for own Ridge implementation\n",
-      "0.26409315307910053\n",
+      "0.26409315307910036\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "0.26409315307910025\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_115_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -2730,7 +2722,7 @@
       "  2.18613217e-01  1.02054837e-01 -4.25617658e-04 -5.90475506e-02\n",
       " -7.68534263e-02 -6.68929213e-02 -4.24906604e-02 -1.40927184e-02\n",
       "  1.11482289e-02  2.88529063e-02  3.67047975e-02  3.38135733e-02\n",
-      "  2.02198702e-02 -3.46383925e-03 -3.63025821e-02]\n",
+      "  2.02198703e-02 -3.46383925e-03 -3.63025821e-02]\n",
       "Beta values for Scikit-Learn Ridge implementation\n",
       "[ 3.43579948e-02 -5.43330971e-01 -3.10141413e-03  2.47116868e-01\n",
       "  2.18613217e-01  1.02054837e-01 -4.25617654e-04 -5.90475506e-02\n",
@@ -2738,11 +2730,11 @@
       "  1.11482289e-02  2.88529063e-02  3.67047975e-02  3.38135733e-02\n",
       "  2.02198702e-02 -3.46383925e-03 -3.63025821e-02]\n",
       "Intercept from own implementation:\n",
-      "1.0330308045190182\n",
+      "1.0330308045188872\n",
       "Intercept from Scikit-Learn Ridge implementation\n",
       "1.0330308045183219\n",
       "MSE values for own Ridge implementation\n",
-      "3.13925595925919e-06\n",
+      "3.1392559591206444e-06\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "3.1392559585048734e-06\n",
       "Beta values for own Ridge implementation\n",
@@ -2756,11 +2748,11 @@
       " -0.04355837 -0.03562355 -0.02348765 -0.00848904  0.00831018  0.0260906\n",
       "  0.04423486]\n",
       "Intercept from own implementation:\n",
-      "1.041148729430502\n",
+      "1.041148729430595\n",
       "Intercept from Scikit-Learn Ridge implementation\n",
       "1.041148729430523\n",
       "MSE values for own Ridge implementation\n",
-      "1.9601304850018328e-05\n",
+      "1.96013048502692e-05\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "1.960130485007504e-05\n",
       "Beta values for own Ridge implementation\n",
@@ -2774,11 +2766,11 @@
       " -0.00440346 -0.00917248 -0.01231917 -0.01405935 -0.0146081  -0.01416528\n",
       " -0.01290947]\n",
       "Intercept from own implementation:\n",
-      "1.0495569966278238\n",
+      "1.0495569966278295\n",
       "Intercept from Scikit-Learn Ridge implementation\n",
       "1.0495569966278269\n",
       "MSE values for own Ridge implementation\n",
-      "5.4959161509356135e-05\n",
+      "5.4959161509377256e-05\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "5.495916150936645e-05\n",
       "Beta values for own Ridge implementation\n",
@@ -2792,11 +2784,11 @@
       "  0.00817631  0.00472512  0.00149311 -0.00149956 -0.00424967 -0.00676387\n",
       " -0.00905423]\n",
       "Intercept from own implementation:\n",
-      "1.0399676689527968\n",
+      "1.0399676689527966\n",
       "Intercept from Scikit-Learn Ridge implementation\n",
       "1.0399676689527975\n",
       "MSE values for own Ridge implementation\n",
-      "7.571105947979336e-05\n",
+      "7.571105947979352e-05\n",
       "MSE values for Scikit-Learn Ridge implementation\n",
       "7.571105947979394e-05\n",
       "Beta values for own Ridge implementation\n",
@@ -2810,7 +2802,7 @@
       "  0.00579953  0.006162    0.00642221  0.00660427  0.00672607  0.0068011\n",
       "  0.00683964]\n",
       "Intercept from own implementation:\n",
-      "0.9999555851685968\n",
+      "0.999955585168597\n",
       "Intercept from Scikit-Learn Ridge implementation\n",
       "0.999955585168597\n",
       "MSE values for own Ridge implementation\n",
@@ -2839,16 +2831,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter3_117_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -3317,17 +3308,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":6: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/4162706317.py:6: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
       "  cb = fig.colorbar(im)\n",
-      ":7: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/4162706317.py:7: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
       "  cb.ax.set_yticklabels(cb.ax.get_yticklabels(), fontsize=18)\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -3589,17 +3580,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":6: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3777801602.py:6: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
       "  cb = fig.colorbar(im)\n",
-      ":7: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3777801602.py:7: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
       "  cb.ax.set_yticklabels(cb.ax.get_yticklabels(), fontsize=18)\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -3671,17 +3662,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":9: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/438060758.py:9: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
       "  cb = fig.colorbar(im)\n",
-      ":10: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/438060758.py:10: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
       "  cb.ax.set_yticklabels(cb.ax.get_yticklabels(), fontsize=18)\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -3748,17 +3739,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":8: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3544313922.py:8: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
       "  cb = fig.colorbar(im)\n",
-      ":9: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3544313922.py:9: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
       "  cb.ax.set_yticklabels(cb.ax.get_yticklabels(), fontsize=18)\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPYAAASICAYAAACQrEHoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAAB5lElEQVR4nOzdeZRdVZk34N+tygAJMwoYxiRQDCIkIQ4MyiSiIIizgIgoUcZWxAFtPkUcQBrUFgQEFNBWZBBk6FaUqIjQHUgnQKNCmAIkAQJkIAFCkqrz/YEpiaRi3Uq4xb73edaqtWKdfWrvU7Up4Zd3v6dWVVUVAAAAAKAobf29AAAAAACgfoI9AAAAACiQYA8AAAAACiTYAwAAAIACCfYAAAAAoECCPQAAAAAokGAPAAAAAAok2AMAAACAAgn2AAAAAKBAgj0A6INp06Zlyy23zJZbbpkJEyb093Je0ebPn5+vfvWrefOb35xtt902u+yySy6//PL+XtbLYuLEiTnxxBOz9957Z/To0Rk1alT22GOPHHPMMbnqqquyePHilTLPhAkTuvffi7/mCSeckC233DKf/exne/V1XryPH3rooZdcnzNnTp544omVsjYAAFY+wR4A8LL67Gc/m5/97Gd54oknMnz48Ky99trZcMMN+3tZK1VXV1f+9V//NQcffHAuv/zyzJkzJ8OHD88WW2yRhQsX5re//W1OOOGEvOtd78q0adP6e7m9ctFFF+Vtb3tb7r333v5eCgAAPRjQ3wsAAJrXs88+mz/84Q9JkpNOOikf+tCH+ndBL5OzzjorV1xxRV796lfn3/7t3/KmN70ptVqt+/rtt9+eL3zhC7nvvvvy8Y9/PNdee20GDRrU5/m22267/Nd//VeSZMCAvv/r3Prrr9/9dYYNG7bUtVNOOaXPXxcAgMZQsQcAvGzmzp2bqqqSJG94wxv6eTUvj+eeey4XXXRRkuSb3/xmdtxxx6VCvSQZNWpUzjnnnAwePDhTp07N1VdfvUJzrrrqqhk5cmRGjhy5Ql9n4MCB3V9n4MCBK/S1AABoPMEeAPCy6ezs7P7zilSovZI9+OCDeeaZZ5Ik22+/fY/jRowYkde//vVJkjvvvLMhawMAoLk5igsA/eDWW2/N5ZdfnsmTJ+fJJ5/M4sWLs/baa2fUqFE56KCDsuOOO77knvvvvz8XXHBB7rzzzkyfPj3t7e3ZeOONs+uuu+YjH/lI1l133aXGd3Z25tJLL82vfvWrPPjgg5kzZ07WWmutbL/99nnf+96X3XfffZlre/DBB3PRRRfllltuyaOPPprBgwdn5MiR2WefffKhD30oq6yySq+eccstt1zqf++5555Jkne/+9059dRTc8IJJ+Sqq67KSSedlLa2tpxzzjl56qmn8prXvCZf+9rX8sY3vjHJC1V/P/nJT3LDDTfkoYceSldXV4YNG5bddtsthx12WNZbb72l5rnyyivzxS9+Mfvtt19OOumknHPOOfn1r3+dmTNnZp111smee+6Zz3zmM1lttdVy99135+yzz86tt96a+fPnZ+ONN84HP/jBHHrooS+puuvJiyvdfv/73+eAAw7ocezJJ5+cBQsWvGTNS0ycODGXXHJJJk2alCeeeCKrrbZaRo0alUMPPXSpPTFhwoR85CMfSZL8+c9//qfHcTs7O/P5z38+1113XVZfffVccMEFGTVqVKZNm9b9c/nNb36TTTfdtPvnssRhhx2W5IWjue95z3uW/83ohbvvvjsXXnhhJkyYkCeffDJDhw7Ntttumw984APZe++9l3nPggUL8otf/CI33HBD7rnnnjz99NMZNGhQhg0bll122SWHHXZY1l9//aXu2WOPPTJ9+vRcffXVueKKK3L11Vdn8eLFGT58eH70ox/lJz/5Sc4666yMGzcuH/vYx3L22Wfnd7/7XWbOnJk11lgjb3zjG3PEEUe8ZB8DALySCPYAoMHOOOOMnHfeeUmSddZZJyNGjMj8+fMzffr0/OY3v8lvfvObnHzyyfngBz/Yfc/kyZPzsY99LM8++2zWWGONDB8+PM8//3ymTJmSv/71r7nqqqty6aWX5jWveU2SpKqqHHfccbn++uuTJJtuumnWX3/9zJgxIzfccENuuOGGHHXUUfnUpz611Nquueaa/Ou//msWLlyYVVZZJR0dHXnmmWdyxx135I477sgvfvGLnH/++dlggw3+6XOOGTMmCxcuzF133ZUk2XbbbTNo0KBsttlmL5lz0qRJ2WCDDbLZZptl2rRp2XrrrZMk99xzTw4//PDMnDkzbW1tGTlyZAYMGJB77703P/rRj/KLX/wiZ555ZncI+GKzZ8/Oe9/73kydOjUjRozIsGHDMnXq1Pz0pz/NX/7yl4wbNy6f+tSn0tbWluHDh6etrS0PPPBATjnllDz11FM5/vjje/XzHDFiRDbccMNMnz49J554Yu666668613vyrbbbvuScHB5Lw359re/nfPOOy9VVWWttdbKlltumUcffTS///3v8/vf//4le6K3urq68sUvfjHXXXdd1lxzzfzwhz/M6173uh7Hb7bZZhkzZkwmTZqUJOno6Mhqq632kuC4L37605/mG9/4Rjo7OzNkyJBsscUWmTNnTv70pz/lT3/6U975znfmtNNOS3t7e/c9s2bNyqGHHpopU6akVqtlk002yWte85o8/vjjuffee3PvvffmmmuuyZVXXrnMffnVr341kyZNyuabb57nnnsugwYNylprrdV9fcaMGTnggAMyc+bMDBs2LCNHjsyUKVPyX//1X/n973+fn/70p3nta1+7ws8OAPCyqACAuj3yyCNVR0dH1dHRUf3P//xPr+/7n//5n6qjo6PaaqutqiuuuKLq7Ozsvvboo49WH/7wh6uOjo5qp512Wura+9///qqjo6P62te+Vj3//PPdn3/44Yert73tbVVHR0f1//7f/+v+/I033lh1dHRUb3rTm6q77767+/OLFy+uzj333Kqjo6PaZpttqkcffbT72u23315ts802VUdHR3XiiSdW8+bN6772l7/8pXued7/73dWiRYvq/j498sgjS137whe+0H3t5JNPrhYvXlxVVVU99dRTVVVV1bx586pddtml6ujoqD74wQ9WDz/8cPe9TzzxRPXJT36y6ujoqHbYYYelrv3iF7/o/ro777xzdccdd3Rfu+KKK7qvbbXVVtVnPvOZ7udctGhR9cUvfrHq6Oiotttuu+q5557r1TNW1Qvf7yXfuyUfb3zjG6tjjjmmuvDCC6u//vWvy73/uuuuqzo6Oqqtt966uuiii7q/F4sXL67OPvvs7mv33XdfVVV/30cdHR1L/SyWfE+PP/74qqqqqqurqzrhhBO61/OP63jxz2fq1KlLXVvy+ZtvvrnX34flre3GG2+sttxyy+q1r31tdfHFF3c/Y1VV1S233FLtuOOOVUdHR/Wd73xnqa+35Jn22muv6sEHH1zq2h//+Mdq++23rzo6OqpTTz11qWu777579zr+8z//s/vzS/bX9773ve7re++9d3XnnXd2j7n//vurt7zlLVVHR0d15JFH1vX8AACNpMceADTQTTfdlEGDBmWvvfbKe9/73rS1/f3/ijfYYIPuCronn3wyTz31VPe1u+++O0ny3ve+d6ledRtvvHG+8IUvZPfdd1+qGmzJ+NGjRy91lLC9vT2f/OQn8/a3vz377rtv5s6d233te9/7XhYvXpxddtklX/va17Laaqt1X9t6661zwQUXZJVVVsmf//zn/Od//ufK+pZk8ODBOf7447urtNZZZ50kyc9+9rPMnDkzr3rVq/KDH/wgG2+8cfc9r3rVq/K9730vHR0dmTdvXs4999xlfu0vfelL2W677br/93ve857uY7AbbrhhTjvttO7nHDBgQI4++ugkLxz9fOCBB3r9DG95y1vyk5/8JB0dHd2fmz17dn7zm9/klFNOybve9a7sscceufDCC7N48eKX3H/WWWcleeHY66GHHtr9vWhvb8+RRx6ZnXfeOZ2dnfnlL3/Z6zVVVZUvf/nLufLKK/OqV70qP/7xj7PVVlv1+v6V7dvf/naqqspnP/vZfOQjH1mqKm/HHXfsfgvvhRdemNmzZydJFi9enIkTJ6ZWq+WLX/ziS6o93/zmN2efffZJkkyZMmWZ844dO7Z7TPL3/fViZ5xxxlJVjCNGjMhHP/rRJOmuXAQAeCUS7AFAA332s5/NnXfemX/7t39b5vUX969bsGBB95833XTTJMlXvvKV/Pd//3cWLVrUfW2PPfbIueeem09+8pPdn1sSgNx44435wQ9+kEcffXSpef793/89p512Wnfo9+yzz2bChAlJ0t277R9tvPHGeetb35okGT9+fK+etze22WabDBky5CWf/93vfpckOeCAA7Lmmmu+5PqgQYNyyCGHdI+t/vb23SVqtVre8pa3vORzSwLQnXfeealwKclSve/mz59f13OMGTMm11xzTS655JJ8/OMfz2tf+9qlgtvp06fn1FNPzYc+9KHMmzev+/MPPfRQd4j4oQ99aJlf+xvf+EZuuOGGHHfccb1ez1e/+tVcdtllWWuttfLjH/94qdCx0aZNm5a//vWvSZL9999/mWN23XXXrL322lmwYEH++7//O8kLYesNN9yQO+64I7vttttL7qmqqnvvvPiflxfbYYcdlru29dZbb5lHbUeMGJEkS/2sAABeafTYA4AGq9VqaWtry8SJE3PfffflkUceycMPP5x77rknDz30UPe4rq6u7j9/7nOfy5FHHpk77rgjH/3oRzNkyJC8/vWvz0477ZTddtvtJZVMe+yxR97whjfk1ltvzbe//e18+9vfzogRI7LTTjvlzW9+c3bccccMHjy4e/wjjzzSHRZuu+22Pa592223zXXXXZcHH3xwJX03kle/+tXL/PySOZbX32zJtVmzZmXOnDlZe+21u6+tvvrqS1UdLrHkZRfLqtx68Ysw/jEo7I1arZYxY8ZkzJgxSV4IhW677bb88Y9/zLXXXpv58+fn//7v//KVr3wl3/72t5Ok+2c+ZMiQpaoSX2xJ78Te+u1vf9sddD3zzDNZuHBh3c+yMt17773df15SFbkszz//fJK8pFpy8ODBeeqpp3L77bdn6tSpmTZtWh544IH89a9/7a46ffE/Ly/W0/5a4h9furHEkpB9WRWWAACvFII9AGigqqpy8cUX54c//GFmzpzZ/flarZbhw4fnXe96V66++uqX3PeWt7wlV1xxRc4///z84Q9/yDPPPJMbb7wxN954Y0455ZTssMMOOfnkk7P55psneaHS6Yc//GF++tOf5sorr8yUKVPywAMP5IEHHsh//Md/ZLXVVsvhhx+eI444IrVabanqtNVXX73H9S8Jyp555pmV9S1ZKmB8sSVr6s16lqzpxcHeqquuutx5X1xN93JZffXVs8cee2SPPfbIcccdl2OOOSa33nprfvWrX+XEE0/MOuuskzlz5iRJhg4dutLmXbBgQTbYYIMMGzYskyZNygknnJArrrhiqeCyL2688cYejz0fccQR2XXXXZd57cVVb7052vri8U888US+9a1v5de//vVSlaqrrrpqXve616WzszP/+7//2+PX+mdvcV7R7wkAQH8S7AFAA33/+9/PmWeemSTZZ5998pa3vCWbb755RowYkaFDh2bq1KnLDPaSF/rcffvb386iRYtyxx13ZMKECbnlllsyadKk/O///m8++tGP5je/+U330cRBgwblsMMOy2GHHZbHHnss//M//5MJEybkj3/8Y5588sl897vfzSqrrJLDDjtsqVBp3rx5Pb4BdUl11MoMoXoydOjQzJ07d7lHIV/cI7ARa1qWI444Ivfee2+OPfbYHHDAAT2OW3PNNXPyySfn7W9/e7q6uvLQQw9lnXXW6f55rcywdNiwYfnxj3+ctra2vPOd78zdd9+dc889N8cee+wKfd2nnnqqx2DuxT0h/9GSZ1xrrbW6j3z3xvPPP59DDz00999/f9Zaa60ceOCB2XbbbTNy5MhssskmaW9vz3e+853lBnsAAM1Mjz0AaJBFixblhz/8YZIXjiN+5zvfybvf/e687nWv6w6lHnvssZfc19nZmYceeii33XZbkhcqjMaOHZujjz46P/3pT/PTn/40tVotTzzxRG655ZYkLwRet99+e3dvvQ022CAHHHBATjnllPzhD3/I7rvvniTdIeImm2zSXbl011139fgMS64t6fn3clrS4+zPf/7zP13PmmuuuVS1XiPNnz8/06ZN6+4JuDwvPha65CjwkmPUzz77bKZNm7bM+8aPH59DDjkkp512Wq/WtMMOO2TjjTfOhhtumE9/+tNJkh/84Afdfe766j3veU/uueeeZX685z3v6fG+4cOHJ0nmzJmTJ554osdxEydOzP333999jPiGG27I/fffnwEDBuTSSy/Npz/96bz1rW/N8OHDu/sjLuufGQCAViHYA4AGmT17dp599tkkPfeNu/zyy7v/vKS317333pu3ve1tOfTQQ5cZiowePbo7GFzSZ+xLX/pSPvjBD+b8889/yfiBAwfmDW94Q5IXQsPkhYqqN77xjUmSH//4x8tc2yOPPNIdXv3jSyleDkvCx1/+8pdLVeYtsXDhwlxyySVJXng7an9Z8jKI3/72t90vfejJkrcJjxgxoruf3siRI7tf6PGLX/ximfddddVVufXWWzNr1qy613fIIYdk1KhRWbRoUU444YSljrMuT61WS9K3XoP/aOTIkd1h8H/8x38sc8z//u//5uCDD84+++yT22+/PUm6g86hQ4e+pI9k8sLbo//whz8k+fteBgBoJYI9AFhB8+bNy6xZs5b7UVVV1llnnay11lpJkosuumipsGrWrFk56aSTct1113V/bknV0lZbbZWOjo50dnbmM5/5zFIVSgsXLsx3vvOdzJ8/P0OGDMnYsWOTJO9617uSJJdeeml++ctfLhXO3HvvvfnJT36SJEv1RDvmmGMyYMCA/OlPf8r/+3//b6m+e3fffXfGjRuX559/PltttdVyj5yuLAceeGDWX3/9PPnkk/nkJz+ZRx55pPvaU089lU996lOZMmVKhg4dusJHTFfEAQcckNGjR6erqytHHHFEzjrrrJcEsPPnz8+PfvSjfO1rX0tbW1u+8IUvdPf4q9VqOeqoo5Ik559/fi6//PLun1dnZ2fOO++8/Pa3v82AAQPy0Y9+tO71tbW15etf/3oGDhzYfSS3N5Ycn50xY0bdcy7Lpz71qSTJeeedl/PPP3+pF3pMnDix+/qoUaPypje9Kcnfqzbnzp2biy++eKl9fPvtt+ewww7r7lH43HPPrZR1AgCURI89AFhBy3vL5xK33XZb1lhjjXzqU5/KV7/61dx6663Zdddds9lmm2XhwoV56KGHsnjx4myzzTZ59NFHM3v27Dz22GPdlX3f+c538qEPfSi33npr3vrWt2ajjTbKqquummnTpuXpp59Oe3t7Tj755O7jnW9729vygQ98IJdddlm+8IUv5Fvf+lZe85rXZP78+Xn44YdTVVW22267HHHEEd1rHD16dL7xjW/kxBNPzGWXXZZrrrkmI0eOzLPPPtv9htqOjo6cddZZGTRo0MvwnVzaGmuskXPPPTef+MQnMnny5LztbW/L5ptvngEDBuTee+/NokWLstZaa+X0009fZjVXowwaNCjnnXdePvvZz+bGG2/MmWeembPOOisbbbRR1l577TzzzDPdP98hQ4bk61//enbbbbelvsb73ve+3Hfffbnwwgtz4okn5rvf/W422GCDTJs2LXPmzEl7e3tOOumkbLXVVn1a4xZbbJFPfvKTOeuss/KDH/wgb33rW7P11lsv955tttkmt912W04++eRccsklOeigg/K+972vT/Mnyb777pupU6fmzDPPzOmnn54f/OAH2WyzzTJr1qxMnz49yQtHds8+++zue/bYY4+MHj06kydPzje/+c2cf/75WX/99fPEE0/k8ccfT61Wy0477ZRbbrklM2fOTFVV3ZWGAACtQMUeADTQQQcdlIsuuig777xzVl999dx777156qmnsv322+fLX/5yLrvssu4qut///vfd922++ea56qqrcuCBB2bDDTfMjBkzct9992WNNdbIe9/73lx99dXZb7/9lprrq1/9ak455ZS88Y1vTFdXV+65557MmTMnO+ywQ7785S/nZz/72VJvlU1eqD67+uqr84EPfCCvetWrcu+992b27NkZM2ZMvvzlL+eKK67oPkLaCNtss02uu+66HHXUUdliiy3yyCOPZOrUqRk+fHiOOOKIXHPNNf16DHeJNdZYI+edd14uvvjiHHTQQdliiy3yzDPP5K9//WueeuqpbLXVVjnmmGPy61//usdqxxNOOCEXXnhh9txzz1RVlbvvvjvt7e15+9vfnksvvTTvf//7V2iNn/zkJ7PFFlv0+kjuN7/5zey8884ZMGBAHnzwwUydOnWF5k9eCMEvvfTS7LfffllttdVy9913Z/bs2dlmm23yqU99Kr/4xS+WenFLe3t7Lrroonz2s5/N1ltvneeeey5TpkzJgAEDss8+++Q//uM/cvbZZ2fw4MGZM2dOr964CwDQTGrVymicAgAAAAA0lIo9AAAAACiQYA8AAAAACiTYAwAAAIACCfYAAAAAoECCPQAAAAAokGAPAAAAAAo0oL8XAAAAAAD83R133JHPfOYzPV4fP358kmYL9qqqYVM98ODchs01YviaDZsLAAAA+LtG/ff/xhuvnoED2xsyVzPpWrw4cx9+uL+XsVKtuckmefWrX92rsbWqamAa9nKrqvrDvba2pKur7qlq7afVfU9fVZ2fb9hcvEgf9wYtwN6gJ/YGy2Jf0BN7g57YG/TE3ugXtfYzGjLP/fePy4gRazVkrmYy+4EH8r2RI/t7GSvVv9x/f9YeMaJXY/XYAwAAAIACCfYAAAAAoEDN1WMPAAAAgJbSylVrDQ32nnvuuVxwwQX5z//8z0ybNi1Dhw7Ntttum4985CPZddddG7kUAAAAAChaw4K9Z599Nh/96Edzxx13ZODAgdliiy0yZ86c/OlPf8qf/vSnHHvssTnmmGMatRwAAAAAKFrDqhVPPvnk3HHHHdl6663z29/+NldddVV+//vf51vf+lYGDBiQM888M7fcckujlgMAAAAARWtIsPfwww/nmmuuSVtbW04//fS85jWv6b52wAEH5PDDD0+SnHnmmY1YDgAAAABNoq3JPup99pfd1Vdfnc7OzowaNSqbb775S64fdNBBSZJJkyZlxowZjVgSAAAAABStIcHe7bffniTZYYcdlnl9/fXXz4YbbpgkufXWWxuxJAAAAAAoWkOCvYceeihJsskmm/Q4ZkmwN3Xq1EYsCQAAAACK1pC34j711FNJknXWWafHMWuttVaSZPbs2Y1Y0gobPXr9/l4CAAAA8DIbPXq9hswzaFB7Q+ZpRg17M+wrUEOCvQULFiRJBg0a1OOYwYMHLzW2z9r68OPswz2TJh1W/zyUpy/7idZgb9ATe4NlsS/oib1BT+wNemJvNNykSYf29xKgRw0J9trb29PV1ZVardbjmKqqkiRtK/pLqqurvvFtbfXfk2TM2IvrvqevJk30S6Rf9HFv0ALsDXpib7As9gU9sTfoib1BT+yNfjFm7E8aMs8117wnG220ekPmonk0JNgbMmRI5s6dm+eff77HMQsXLkzy98q9V7rJkx/v7yUAAAAAL7PJk2c2ZJ6FCzsbMg/NpSE1vGuvvXaSZM6cOT2OWdJbb911123EkgAAAACgaA2p2BsxYkSmTp2aadOm9Thm+vTpSZLNNtusEUsCAAAAoHC1NN/LM3puZPdSDXn27bffPkly++23L/P6448/nhkzZiRJRo8e3YglAQAAAEDRGhLsvf3tb0+S3HrrrXnggQdecv1nP/tZkuQNb3hDNtpoo0YsCQAAAACK1pBgb7PNNss73/nOdHZ25thjj81DDz3Ufe3qq6/OBRdckCQ58sgjG7EcAAAAACheQ3rsJcmJJ56YKVOmZMqUKXnHO96Rjo6OPP3009299Y477rjstNNOjVoOAAAAAE2g2Xrs1aNhwd7aa6+dSy+9ND/84Q/zq1/9Kvfff38GDBiQN7zhDfnwhz+cvffeu1FLAQAAAIDiNSzYS5IhQ4bk2GOPzbHHHtvIaQEAAACg6bRytSIAAAAAFKuhFXsAAAAAsDK1ctVaKz87AAAAABSrqSr2uqpa5s+v9Xp8W1uy2mrJ/Gfb0tVV31xV5+frXF3f1dpPadhcVecXGzYXAAAAvNJVncc3ZqJa7/MMWELFHgAAAAAUqKkq9gAAAABoHbU0X9VaPbWbzfbsAAAAANASBHsAAAAAUCDBHgAAAAAUSI89AAAAAIrVylVrrfzsAAAAAFAswR4AAAAAFEiwBwAAAAAFEuwBAAAAQIG8PAMAAACAYrVy1VorPzsAAAAAFEuwBwAAAAAFEuwBAAAAQIH02AMAAACgWLX+XkA/UrEHAAAAAAUS7AEAAABAgQR7AAAAAFAgPfYAAAAAKFItSXt/L2Ilq6dnoIo9AAAAACiQYA8AAAAACiTYAwAAAIAC6bEHAAAAQLFauWqtlZ8dAAAAAIol2AMAAACAAgn2AAAAAKBATdVjr61WZY3VqnrvympDuuqea8ZjjctEq84vNmyuWvvnGzZX1Xlaw+YCAAAAaDZNFewBAAAA0Fpa+ThqKz87AAAAABRLsAcAAAAABRLsAQAAAECB9NgDAAAAoFitXLXWys8OAAAAAMUS7AEAAABAgQR7AAAAAFAgPfYAAAAAKFItzVe1VqtjbLM9OwAAAAC0BMEeAAAAABRIsAcAAAAABdJjDwAAAIBitXLVWis/OwAAAAAUS7AHAAAAAAUS7AEAAABAgfTYAwAAAKBYrVy11srPDgAAAADFEuwBAAAAQIEEewAAAABQIMEeAAAAABTIyzMAAAAAKFatvxfQj1TsAQAAAECBBHsAAAAAUCDBHgAAAAAUSI89AAAAAIpUS9Le34tYyerpGSjY66NhG3Q1bK6uBhZWVp2nNWyuWvu/NGyuqvN7DZsLAAAAoBEcxQUAAACAAgn2AAAAAKBAjuICAAAAUKxWrlpr5WcHAAAAgGIJ9gAAAACgQII9AAAAACiQHnsAAAAAFKuVq9Za+dkBAAAAoFiCPQAAAAAokGAPAAAAAAqkxx4AAAAARaql+arWanWMbbZnBwAAAICWINgDAAAAgAIJ9gAAAACgQII9AAAAACiQl2cAAAAAUKxWrlpr5WcHAAAAgGIJ9gAAAACgQII9AAAAACiQHnsAAAAAFKuVq9Za+dkBAAAAoFiCPQAAAAAokGAPAAAAAAqkxx4AAAAAxWrlqrVWfnYAAAAAKJZgDwAAAAAK5ChuAdrS1bC5nl3QuKy36vxew+aqtR9d1/jRozfOpElfypixp2by5Efqurfq/H5d4wEAAAD6QrAHAAAAQLFq/b2AfuQoLgAAAAAUSLAHAAAAAAUS7AEAAABAgQR7AAAAAFAgL88AAAAAoEi1JO39vYiVrJ6XgajYAwAAAIACCfYAAAAAoECCPQAAAAAokB57AAAAABSrlavWWvnZAQAAAKBYgj0AAAAAKJBgDwAAAAAKpMceAAAAAMVq5aq1Vn52AAAAACiWYA8AAAAACiTYAwAAAIAC6bEHAAAAQJFqab6qtVodY5vt2QEAAACgJQj2AAAAAKBAgj0AAAAAKJAeewAAAAAUq5Wr1lr52QEAAACgWII9AAAAACiQYA8AAAAACqTHHgAAAAC8gsyYMSOHHHJIj9fHjx+fRLDHPxiySlfD5nr8icYVjFad3+/TfZMmnlD3PbX2z/dprr6oOk9r2FwAAADwStTKx1EFewAAAADwCjJs2LDuqrzlaeVQEwAAAACKJdgDAAAAgAI5igsAAABAsVq5aq2hwd4ee+yR6dOnL3fMbbfdljXWWKNBKwIAAACAMjUs2Js3b16mT5+e9vb2bL/99j2Oa29vb9SSAAAAAKBYDQv27r777iTJpptumksuuaRR0wIAAABAU2p4sNfR0dGoKQEAAABoYrW/fTSTep6nYf0FlwR7W2yxRaOmBAAAAICm1fBgb8stt2zUlAAAAADQtBpyFLezszP33XdfkmS99dbLRRddlIkTJ2bevHlZf/31s9tuu+Xtb3972tpa+QXFAAAAANB7DQn2pk6dmgULFiRJDjvssDzzzDNLXb/66qtz4YUX5vvf/37WW2+9RiyJV4ABDevw2FijR2/Y30sAAACAltHe3wvoRw2JVpYcw02S173udTn22GPz2te+Ns8//3z++Mc/5rTTTsudd96ZT3ziE7nssssyaNCgvk/Wl6o/lYL9Yt11GzlbH3/GfdgbkyYd17e5KIvfG/TE3mBZ7At6Ym/QE3uDntgbwIs0JNh7zWtek0MOOSRtbW054YQTuo/crrrqqtl///3zute9Lu9+97vz17/+NVdccUUOOuigvk/W1VXf+La2+u9hpXhqduP+D2ndtfvwM+7j3hgz9t/rn6uPJk38VMPm4kX83qAn9gbLYl/QE3uDntgb9MTeaG612gsfUIeGBHtjxozJmDFjerw+fPjw7Lfffrnssstyww03rFiwRzEWL+7vFbw8Jk+e3t9LAAAAAFrAK6bL2dZbb50kmTZtWj+vBAAAAIBStPIB9YY9e1dXVxYuXNjj9aqqkiQDmvWNCgAAAACwEjUk2Dv44IOz7bbb5rTTTutxzJ///Ockyeabb96IJQEAAABA0RoS7G2xxRbp7OzMb37zm8yfP/8l16dPn55f/epXSZJ99tmnEUsCAAAAgKI1JNj76Ec/mkGDBuXxxx/PcccdlyeeeKL72t13352Pf/zjefbZZ/P6178+b3vb2xqxJAAAAAAoWkMa2m222WY5/fTT87nPfS5//OMfs/vuu2f48OFZvHhxHnjggSTJtttum7POOittba3c8hAAAACAerRyktSwN1Xsvffe2WKLLXLhhRfm5ptvzoMPPphVVlklo0ePzjvf+c586EMf8uIMAAAAAOilhiZpI0aMyNe+9rVGTgkAAAAATamVqxUBAAAAoFjOvgIAAABQpFqar2qtVsfYZnt2AAAAAGgJKvboN+u/uqthc82aU1+G3d6erLlmMndeWzo765ur6jytvhtWQK396IbNVXV+v2FzAQAAAP+cij0AAAAAKJCKPQAAAACK1cpVa6387AAAAABQLMEeAAAAABRIsAcAAAAABdJjDwAAAIBitXLVWis/OwAAAAAUS7AHAAAAAAUS7AEAAABAgfTYAwAAAKBItTRf1VqtjrHN9uwAAAAA0BIEewAAAABQIMEeAAAAABRIsAcAAAAABfLyDAAAAACKVc/LJpqNij0AAAAAKJBgDwAAAAAKJNgDAAAAgALpsQcAAABAsdr7ewH9SMUeAAAAABRIsAcAAAAABRLsAQAAAECB9NgDAAAAoFitXLXWys8OAAAAAMUS7AEAAABAgQR7AAAAAFAgPfZoCeus1dWHu9qy5ur137dwcePy8qrz+w2bq9Z+YkPmqTq/3pB5AAAAKF8tzVe1VqtjbLM9OwAAAAC0BMEeAAAAABRIsAcAAAAABRLsAQAAAECBvDwDAAAAgGK1ctVaKz87AAAAABRLsAcAAAAABRLsAQAAAECB9NgDAAAAoFitXLXWys8OAAAAAMUS7AEAAABAgQR7AAAAAFAgPfYAAAAAKFYrV6218rMDAAAAQLEEewAAAABQIMEeAAAAABRIjz0AAAAAilRL81Wt1eoY22zPDgAAAAAtQbAHAAAAAAUS7AEAAABAgfTYAwAAAKBY9fSkazYq9gAAAACgQII9AAAAACiQYA8AAAAACiTYAwAAAIACeXkGAAAAAMVq7+8F9CPBHqxkgwZ0NWyux59oXNFt1fn1hsxTaz+iIfMkSdV5bsPmAgAAgJXNUVwAAAAAKJBgDwAAAAAK5CguAAAAAMVq5aq1Vn52AAAAACiWYA8AAAAACiTYAwAAAIAC6bEHAAAAQJFqab6qtVodY5vt2QEAAACgJQj2AAAAAKBAgj0AAAAAKJAeewAAAAAUq5Wr1lr52QEAAACgWII9AAAAACiQYA8AAAAACqTHHgAAAADFauWqtVZ+dgAAAAAolmAPAAAAAAok2AMAAACAAgn2AAAAAKBAXp4BAAAAQJFqab6qtVodY5vt2QEAAACgJQj2AAAAAKBAgj0AAAAAKJAeewAAAAAUq5Wr1lr52QEAAACgWCr2oGDrv7qrYXN1NejvAarOcxsyT5LU2o+v+57RozfKpEnHZ8zY72Ty5Gm9vq/qPKPuuQAAAGB5VOwBAAAAQIFU7AEAAABQrFauWmvlZwcAAACAYgn2AAAAAKBAgj0AAAAAKJAeewAAAAAUq5Wr1lr52QEAAACgWII9AAAAACiQYA8AAAAACqTHHgAAAABFqqX5qtZqdYxttmcHAAAAgJYg2AMAAACAAgn2AAAAAKBAgj0AAAAAKJCXZwAAAABQrFauWmvlZwcAAACAYgn2AAAAAKBAgj0AAAAAKJAeewAAAAAUq5Wr1lr52QEAAACgWII9AAAAACiQYA8AAAAACqTHHgAAAADFauWqtVZ+dgAAAAAolmAPAAAAAArkKC4AAAAAvILMmDEjhxxySI/Xx48fn0SwB/RSW7oaMs/CxY0rJK46z+jzvZMmHlfX+Fp7feNXRNX5nYbNBQAA0J9qSVKr9fcy+o1gDwAAAABeQYYNG9Zdlbc8euwBAAAAQIEEewAAAABQIMEeAAAAABRopQV7P//5z7Plllvm8ssv73HM7Nmz881vfjN77rlntt122+y000455phjcvvtt6+sZQAAAADQSgYMaK6POqyUYO/OO+/MaaedttwxTz75ZD7wgQ/k4osvzlNPPZWOjo7UarX89re/zUEHHZQrrrhiZSwFAAAAAFrCCgd7EyZMyOGHH55nnnlmueOOO+64PPzww9l5551z44035sorr8xNN92U448/Pp2dnTnppJNy//33r+hyAAAAAKAl9DnYe/7553PmmWfmsMMOy9y5c5c7dsKECbn11lszZMiQnH766VlzzTVfmLytLZ/4xCey3377ZdGiRTnnnHP6uhwAAAAAaCn1Hdz9m4ceeiiHHnpoHn300bS3t+fTn/50Lr/88kyfPn2Z46+66qokyZ577pl11lnnJdcPPPDAXHvttRk/fnwWLFiQVVZZpS/LAgAAAKCV1Gp196V7xavVej20TxV7jz32WB599NGMGjUql112WY488sjljp88eXKSZIcddljm9e222y4DBgzIs88+m7vuuqsvSwIAAACAltKnYG+DDTbIeeedl0svvTTbbrvtcsd2dXVl2rRpSZJNNtlkmWMGDhyY9ddfP0ny4IMP9mVJAAAAANBS+lSruOmmm2bTTTft1di5c+dm8eLFSbLMY7hLrLXWWpk+fXpmz57dlyUBAAAAQEt52Q8hL1iwoPvPgwYN6nHc4MGDXzIeaD11tBIoyujRG/X3EgAAAJpTs/XYq8PL/uRtbX8/7Vtbzn+xV1X1kvF9nLAx99Aa7I2GG9jQb/kKTFbn3pg06XN9n4uy+L3BstgX9MTeoCf2Bj2xN4AXedmDvaFDh3b/eeHChT2OW3JtSeVen3V11Te+ra3+e2gN9ka/WNTZuH9RGdjex59vH/bGmLFn9G2uPpg08fiGzcU/8HuDZbEv6Im9QU/sDXpibzS3Wq15jzDxsnnZg70hQ4Zk0KBBWbhw4XL75y25tu66677cSwJewf5WvNt0Jk+e1t9LAAAAoMk05Cju8OHDc88993S/HfcfLVq0KDNnzkySbLbZZi/3kgAAAABoBrVa8/XYq6NysyFn3rbffvskye23377M63feeWcWL16cwYMHZ5tttmnEkgAAAACgaA0J9t7xjnckSa6//vrMmTPnJdcvueSSJMk+++yTVVZZpRFLAgAAAICiNSTY23HHHbPDDjtk3rx5Ofroo/Pkk08mSbq6unL++efn2muvzcCBAzNu3LhGLAcAAAAAiteQQ8i1Wi3f+ta3cvDBB2fixInZfffds8UWW2TmzJl54oknUqvV8s1vfjMjR45sxHIAAAAAaAZ67DXGxhtvnF/+8pc59NBDs/7662fKlCl5/vnn8+Y3vzkXXXRR9t9//0YtBQAAAACKV6uqqurvRaw0VfXCRz3a2pKurpdnPZTN3ugXCxc37O8bMmhAH3++fdgbtfbj+jZXH1Sd32nYXPwDvzdYFvuCntgb9MTeoCf2RnOr1eqq1OJvHnooef3r+3sVK9dttyWbbtqroY37L2gAAAAAYKUR7AEAAABAgZqsuyAAAAAALaXZXp5Rh9Z9cuAVqc997/qgq49Fy219uLeRfe9q7cc3bK6q84yGzQUAAMDSHMUFAAAAgAIJ9gAAAACgQI7iAgAAAFCmWq35euzVar0eqmIPAAAAAAok2AMAAACAAgn2AAAAAKBATXYIGQAAAICW0mw99uqgYg8AAAAACiTYAwAAAIACCfYAAAAAoECtewgZAAAAgLLVas3XY69W6/VQFXsAAAAAUCDBHgAAAAAUSLAHAAAAAAVqskPIAAAAALSUZuuxVwcVewAAAABQIMEeAAAAABRIsAcAAAAABRLsAQAAAECBWre7IAAAAABlq9Wa7+UZtVqvh6rYAwAAAIACCfYAAAAAoECCPQAAAAAoUJMdQgYAAACgpTRbj706qNgDAAAAgAIJ9gAAAACgQK1bqwi0vLZ09fnOeu/tauDfo1SdZzRsrlr7Fxs2V9V5SsPmAgAAKIFgDwAAAIAy1WrN12OvVuv1UEdxAQAAAKBAgj0AAAAAKJBgDwAAAAAK1GSHkAEAAABoKc3WY68OKvYAAAAAoECCPQAAAAAokGAPAAAAAArUuoeQAQAAAChbrdZ8PfZqtV4PVbEHAAAAAAUS7AEAAABAgQR7AAAAAFAgwR4AAAAAFKjJugsCAAAA0FKa7eUZdVCxBwAAAAAFEuwBAAAAQIEEewAAAABQoNY9hAwAAABA2Wq15uuxV6v1eqiKPQAAAAAokGAPAAAAAAok2AMAAACAAjXZIWQAAAAAWkqz9dirg4o9AAAAACiQYA8AAAAACiTYAwAAAIACte4hZAAAAADKVqs1X4+9Wq3XQ5vsyQFemdrS1bC5uhpYjF11ntKwuWrthzRsrqrzJw2bCwAAoK8cxQUAAACAAgn2AAAAAKBAgj0AAAAAKJAeewAAAACUq9lenlEHFXsAAAAAUCDBHgAAAAAUSLAHAAAAAAVq3UPIAAAAAJStVmu+Hnu1Wq+HqtgDAAAAgAIJ9gAAAACgQII9AAAAAChQkx1CBgAAAKBl6LEHAAAAAJRGsAcAAAAABRLsAQAAAECBmuwQMgAAAAAtpdl67NVBxR4AAAAAFEiwBwAAAAAFEuwBAAAAQIFa9xAyAAAAAGWr1Zqvx16t1uuhKvYAAAAAoECCPQAAAAAokGAPAAAAAAok2AMAAACAAjVZd0EAAAAAWkqzvTyjDir2AAAAAKBArRtpAjSptnT19xJeFlXnTxo2V63963XfM3r0Bpk06RMZM/aCTJ78WK/vqzpPrHsuAACARMUeAAAAABRJxR4AAAAAZarVmq/HXq3W66Eq9gAAAACgQII9AAAAACiQYA8AAAAACtRkh5ABAAAAaCnN1mOvDir2AAAAAKBAgj0AAAAAKJBgDwAAAAAK1LqHkAEAAAAoW63WfD32arVeD1WxBwAAAAAFEuwBAAAAQIEEewAAAABQoCY7hAwAAABAS2m2Hnt1ULEHAAAAAAUS7AEAAABAgQR7AAAAAFAgwR4AAAAAFKh1uwsCAAAAULZarflenlGr9Xqoij0AAAAAKJBgDwAAAAAKJNgDAAAAgAI12SFkAAAAAFpKs/XYq4OKPQAAAAAokGAPAAAAAArUurWKAAAAAPAKNGPGjBxyyCE9Xh8/fnwSwR4AhehqYJF51Xlin++dNPHwusbX2r/Y57nqVXWe0rC5AACgIWq15uuxV6v1emiTPTkAAAAAlG3YsGHdVXnLo8ceAAAAABRIsAcAAAAABXIUFwAAAIByNVuPvTqstCf/+c9/nq985Sv5+te/nve///0vub5o0aKMHj06ixYt6vFrrL766pk4ceLKWhIAAAAANK2VEuzdeeedOe2005Y75v7778+iRYuy6qqrZuutt17mmKFDh66M5QAAAABA01vhYG/ChAk59thj88wzzyx33N13350kGTt2bC644IIVnRYAAAAAWlqfg73nn38+5513Xs4555x0dnb+0/FLgr2Ojo6+TgkAAAAAf1erNV+PvVqt10P79Fbchx56KHvvvXfOOuusJMmnP/3pbLjhhsu9R7AHAAAAACtPn4K9xx57LI8++mhGjRqVyy67LEceeeQ/vUewBwAAAAArT59qFTfYYIOcd9552XXXXXs1/vHHH8/s2bPT3t6eoUOH5pxzzskdd9yRBQsWZKONNspee+3V668FAAAAAPQx2Nt0002z6aab9nr8kmq9Wq2W/fbbL88///xS1y+//PLstttuOeOMM7Laaqv1ZUkAAAAA0FIa0l3wnnvuSZIsXrw4b33rWzNu3LhsscUWmTdvXq6//vqcccYZ+cMf/pDjjjsu559/fiOWBACvCKNHD+vvJQAAQNma7eUZdWjIk2+55ZY58MAD86pXvSrHHHNM9+cHDx6cgw8+OFtuuWU+/OEP549//GNuvPHGFTuW29aHtoF9uYfWYG/QE3uj4Rr7HV+B2ercG5Mmfarvc1EOvzPoib1BT+wNemJvAC/SkGBv1113XW5YN3bs2Oy00065+eabc8MNN6xYsNfVVd/4trb676E12Bv0xN7oF10NjPba0sefbx/2xpixZ/Ztrj6YNPHYhs3Fi/idQU/sDXpib9ATe6O51WovfEAdXjG1iltvvXVuvvnmTJs2rb+XAgANM3nyjP5eAgAAUKiGBXudnZ2pqioDejj33PW3v3Xo6ToAAAAALKVWa74ee3VUbjbkXNMee+yR1772tfnJT37S45i//OUvSZLNN9+8EUsCAAAAgKI1JNgbOXJkqqrKNddck8WLF7/k+p133pkJEyYkSfbZZ59GLAkAAAAAitaQYG/cuHGp1Wr5y1/+khNPPDHz58/vvjZhwoQcddRRqaoq+++/f173utc1YkkAAAAAULSGHEJ+wxvekC996Us59dRTc9VVV+VXv/pVhg8fnnnz5nW/LGPXXXfN17/+9UYsBwAAAIBm0Ww99urQsCf/yEc+klGjRuXiiy/Obbfdlvvuuy9Dhw7Nm970prznPe/J/vvvn5rXOgMAAABAr6y0YO93v/vdPx2z3Xbb5YwzzlhZUwIAAABAy2pIjz0AAAAAYOVq3UPIAAAAAJStVmu+Hnt1tKpTsQcAAAAABWqySBOAZtWWrobN9fT8+v/eq60tWW21ZP6zbemqY6lV5yl1z9VXtfYvNmyuRj4XAAC0KhV7AAAAAFAgwR4AAAAAFMhRXAAAAADK5OUZAAAAAEBpBHsAAAAAUCDBHgAAAAAUqMkOIQMAAADQUpqtx14dVOwBAAAAQIEEewAAAABQIMEeAAAAABSodQ8hAwAAAFC2Wq35euzVar0eqmIPAAAAAAok2AMAAACAAgn2AAAAAKBATXYIGQAAAICW0mw99uqgYg8AAAAACiTYAwAAAIACCfYAAAAAoECtewgZAAAAgLLVas3XY69W6/VQFXsAAAAAUCDBHgAAAAAUSLAHAAAAAAUS7AEAAABAgZqsuyAAAAAALaXZXp5RBxV7AAAAAFAgwR4AAAAAFKh1axUBoAdrrNbVxzvbstqQ+u5duLhxf8dWdZ7SsLlq7f/SsLmqzu81bC4AAHglEewBAAAAUKZarfl67NVqvR7qKC4AAAAAFEiwBwAAAAAFEuwBAAAAQIGa7BAyAAAAAC2l2Xrs1UHFHgAAAAAUSLAHAAAAAAUS7AEAAABAgVr3EDIAAAAAZavVmq/HXq3W66Eq9gAAAACgQII9AAAAACiQYA8AAAAACtRkh5ABAAAAaCnN1mOvDir2AAAAAKBAgj0AAAAAKJBgDwAAAAAKJNgDAAAAgAK1bndBAAAAAMpWqzXfyzNqtV4PVbEHAAAAAAUS7AEAAABAgQR7AAAAAFCgJjuEDAAAAEBLabYee3VQsQcAAAAABRLsAQAAAECBBHsAAAAAUKDWPYQMAAAAQNlqtebrsVer9Xpokz05AJRl0ICuhs01a07jCvWrzu81bK5a+1cbNlfV+ZWGzQUAAP+Mo7gAAAAAUCDBHgAAAAAUyFFcAAAAAMrVbD326qBiDwAAAAAKJNgDAAAAgAIJ9gAAAACgQK17CBkAAACAstVqzddjr1br9VAVewAAAABQIMEeAAAAABRIsAcAAAAABRLsAQAAAECBmqy7IAAAAAAtpdlenlEHFXsAAAAAUCDBHgAAAAAUSLAHAAAAAAVq3UPIAAAAAJStVmu+Hnu1Wq+HqtgDAAAAgAIJ9gAAAACgQII9AAAAAChQkx1CBgAAAKBl6LEHAAAAAJRGsAcAAAAABRLsAQAAAECBmuwQMgAAAAAtpdl67NVBxR4AAAAAFEiwBwAAAAAFat1aRQBoMeus1dWwuRYubtzfHVadX2nYXLX2E+saP3r0sEyadEzGjD07kyfPqOveqvPrdY0HAKD1qNgDAAAAgAKp2AMAAACgTLVa8708o1br9VAVewAAAABQIMEeAAAAABRIsAcAAAAABWqyQ8gAAAAAtJRm67FXBxV7AAAAAFAgwR4AAAAAFEiwBwAAAAAFat1DyAAAAACUrVZrvh57tVqvh6rYAwAAAIACCfYAAAAAoECCPQAAAAAoUJMdQgYAAACgpTRbj706qNgDAAAAgAIJ9gAAAACgQII9AAAAAChQ6x5CBgAAAKBstVrz9dir1Xo9VMUeAAAAABRIsAcAAAAABRLsAQAAAECBBHsAAAAAUKAm6y4IAAAAQEtptpdn1EHFHgAAAAAUSLAHAAAAAAVq3VpFAAAAAHgFmjFjRg455JAer48fPz6JYA8AeBkMGtDVsLmeXdC4AwhV59f7dN+kiUfVfU+t/cQ+zdUXfX0uAID+VqWWKrX+XsZKVc/TCPYAAAAA4BVk2LBh3VV5y6PHHgAAAAAUSLAHAAAAAAVyFBcAAACAYi1e3N8rWLkGDuz92D4He4899lh+9KMf5aabbsqMGTOSJBtttFF22223fOxjH8u66677kntmz56dc845J+PHj8/jjz+eNdZYI2PGjMnhhx+eUaNG9XUpAAAAANByalVVVfXeNHHixBx55JF5+umn097enk022SRdXV2ZNm1aOjs78+pXvzoXXHBBttpqq+57nnzyyRx44IF5+OGHs+qqq2bEiBF5/PHH8+STT6a9vT0nn3xy3ve+963Y01TVCx/1aGtLuhr35j4KYm/QE3uDntgb/aKRb8Udskoffr593BfeitsC/M6gJ/YGPbE3mlut9sIHdamqZNGi/l7FyjVwYO+3Qt3/Jvz000/n2GOPzdNPP503v/nN+cMf/pBf//rX+c1vfpPrr78+Y8aMyRNPPJGjjz46zz//fPd9xx13XB5++OHsvPPOufHGG3PllVfmpptuyvHHH5/Ozs6cdNJJuf/+++tdDgAAAAC0pLqDvSuvvDKzZs3Keuutl+9+97tZb731uq9tvPHG+f73v58111wz06ZNy69//eskyYQJE3LrrbdmyJAhOf3007Pmmmu+MHlbWz7xiU9kv/32y6JFi3LOOeespMcCAAAAoNlV1Qs99prpo57DqHUHexMmTEiS7L777llttdVecn2dddbJ6NGjkyT/93//lyS56qqrkiR77rln1llnnZfcc+CBByZJxo8fnwULFtS7JAAAAABoOXW/POPII4/M3nvvneHDh/c4Zknbvq6/nf2fPHlykmSHHXZY5vjtttsuAwYMyLPPPpu77rorY8eOrXdZAAAAANBS6g72tttuu2y33XY9Xp81a1ZuvfXWJMnmm2/e/VKNJNlkk02Wec/AgQOz/vrrZ/r06XnwwQcFewAAAADwT9Qd7P0z3/jGN/Lcc89l1VVXzd577525c+dm8eLFSbLMY7hLrLXWWpk+fXpmz569spcEADSxZn153OjRw/p7CQAARfhb7NSSVmqwd/bZZ+e6665Lkhx11FFZd9118+ijj3ZfHzRoUI/3Dh48OElWvMdeW91tA/t2D63B3qAn9gY9sTcabtVVGzlbH3++fdgXkyYd07e5KIvfGfTE3qAn9gbwIist2DvrrLNy5plnJkn22GOPjBs3LskLb75doracv1Jf0pevbUV/Sf2tr1+vtbXVfw+twd6gJ/YGPbE3+sVzzzfuP3BWHdyHn28f98WYsWfXP1cfTZp4VMPm4kX8zqAn9gY9sTeaW63WvEcReNmscLC3ePHinHzyybn00kuTJLvssku++93vdod4Q4cO7R67cOHCHr/OkmtLKvcAAHrjb3832HQmT57R30sAAOAVboWCvfnz5+df/uVfcvPNNydJ9tlnn3zrW99a6sjtkCFDMmjQoCxcuHC5/fOWXFt33XVXZEkAAAAA0BL6HOw99thjGTduXKZMmZIk+fjHP57Pfe5zLzlu29bWluHDh+eee+7pfjvuP1q0aFFmzpyZJNlss836uiQAAAAAWkhVNd/LM+o5kdKnpjQzZ87MIYcckilTpqS9vT0nnXRSPv/5z/fYQ2/77bdPktx+++3LvH7nnXdm8eLFGTx4cLbZZpu+LAkAAAAAWkrdwd7ChQtzxBFH5OGHH87AgQPz7//+7znwwAOXe8873vGOJMn111+fOXPmvOT6JZdckuSFo7yrrLJKvUsCAAAAgJZTd7B3/vnn589//nOS5Ctf+Ur22muvf3rPjjvumB122CHz5s3L0UcfnSeffDJJ0tXVlfPPPz/XXnttBg4c2P0mXQAAAABg+WpV1fuTuwsXLswuu+ySuXPnZsCAAdluu+2WO37XXXfNEUcckSR55JFHcvDBB+fxxx/PoEGDssUWW2TmzJl54oknUqvVctppp2X//fdfsaepqvpfjed14fTE3qAn9gY9sTf6xbML+tRZpE+GrNKHn28f90Wt/cT65+qjqvPrDZuLF/E7g57YG/TE3mhutdoLH9SlszN56qn+XsXKte66SXt778bW9fKMKVOmZO7cuUmSxYsXZ9KkScsdv+mmm3b/eeONN84vf/nLnHvuufnd736XKVOmZNVVV82b3/zmHH744XnTm95Uz1IAAAAAoKXVVbH3iqdij5XJ3qAn9gY9sTf6hYq9Fadir5/4nUFP7A16Ym80NxV7fdLqFXuN+zdhAAAAAGClqesoLgAAAAC8UlRVsnhxf69i5arnMKqKPQAAAAAokIo9AKBofep710ddffg70bY+3tfIvne19iMaNlfVeW7D5gIAaHYq9gAAAACgQCr2AAAAAChWs/XYq4eKPQAAAAAokGAPAAAAAAok2AMAAACAAumxBwAAAECRqqr5euxVVe/HqtgDAAAAgAIJ9gAAAACgQII9AAAAACiQYA8AAAAACuTlGQAAAAAUycszAAAAAIDiCPYAAAAAoECCPQAAAAAokB57AAAAABSr2Xrs1UPFHgAAAAAUSLAHAAAAAAUS7AEAAABAgfTYAwAAAKBIVdV8PfaqqvdjVewBAAAAQIEEewAAAABQIMEeAAAAABRIjz0AAAAAitVsPfbqoWIPAAAAAAok2AMAAACAAgn2AAAAAKBAeuwBAPRSW7r6dFff7mucqvPchs1Vaz+xYXNVnV9v2FwAAP1BsAcAAABAkaqq+V6eUVW9H+soLgAAAAAUSLAHAAAAAAUS7AEAAABAgfTYAwAAAKBYzdZjrx4q9gAAAACgQII9AAAAACiQYA8AAAAACqTHHgAAAABFqqrm67FXVb0fq2IPAAAAAAok2AMAAACAAgn2AAAAAKBAeuwBAAAAUKxm67FXDxV7AAAAAFAgwR4AAAAAFEiwBwAAAAAF0mMPAAAAgCJVVfP12Kuq3o9VsQcAAAAABRLsAQAAAECBBHsAAAAAUCDBHgAAAAAUyMszAAAAAChWs708ox4q9gAAAACgQII9AAAAACiQYA8AAAAACqTHHgAAAABFqqrm67FXVb0fK9gDAGhxCxc37hBH1fn1hs1Va/94w+aqOn/YsLkAAJZwFBcAAAAACiTYAwAAAIACOYoLAAAAQLGarcdePVTsAQAAAECBBHsAAAAAUCDBHgAAAAAUSI89AAAAAIpUVc3XY6+qej9WxR4AAAAAFEiwBwAAAAAFEuwBAAAAQIH02AMAAACgWM3WY68eKvYAAAAAoECCPQAAAAAokGAPAAAAAAok2AMAAACAAnl5BgAAAABFqqrme3lGVfV+rIo9AAAAACiQYA8AAAAACiTYAwAAAIAC6bEHAAAAQLGarcdePVTsAQAAAECBBHsAAAAAUCDBHgAAAAAUSI89AAAAAIpUVc3XY6+qej9WxR4AAAAAFEiwBwAAAAAFchQXAKDFDRrQ1bC5uhr498pV5w8bNlet/fN1jR89esNMmnRcxoz990yePL2ue6vO0+oaDwA0L8EeAAAAAEXSYw8AAAAAKI5gDwAAAAAKJNgDAAAAgAIJ9gAAAACgQF6eAQAAAECxmu3lGfVQsQcAAAAABRLsAQAAAECBBHsAAAAAUCA99gAAAAAoUlU1X4+9qur9WBV7AAAAAFAgwR4AAAAAFEiwBwAAAAAF0mMPAAAAgGI1W4+9eqjYAwAAAIACCfYAAAAAoECCPQAAAAAokB57AAAAABSpqpqvx15V9X6sij0AAAAAKJBgDwAAAAAKJNgDAAAAgALpsQcAAABAsZqtx149VOwBAAAAQIEEewAAAABQIMEeAAAAABRIjz0AAAAAeAWZMWNGDjnkkB6vjx8/PolgDwCABmpLV38v4WVRdZ7Wp/smTfxU3ffU2r/ep7n6ouo8sWFzAUBfVFXzvTyjqno/VrAHAAAAAK8gw4YN667KWx499gAAAACgQII9AAAAACiQo7gAAAAAFKvZeuzVo8/B3mOPPZYf/ehHuemmmzJjxowkyUYbbZTddtstH/vYx7LuuusuNX7RokUZPXp0Fi1a1OPXXH311TNx4sS+LgkAAAAAWkafgr2JEyfmyCOPzNNPP5329vZssskm6erqyoMPPpj77rsvV199dS644IJstdVW3ffcf//9WbRoUVZdddVsvfXWy/y6Q4cO7dtTAAAAAECLqTvYe/rpp3Psscfm6aefzpvf/OZ885vfzHrrrZckeeSRR/L5z38+kyZNytFHH53/+q//yuDBg5Mkd999d5Jk7NixueCCC1biIwAAAABA66k72Lvyyisza9asrLfeevnud7+b1VZbrfvaxhtvnO9///t5+9vfnmnTpuXXv/513vWudyX5e7DX0dGxkpYOAAAAQCurqubrsVdVvR9b91txJ0yYkCTZfffdlwr1llhnnXUyevToJMn//d//dX9esAcAAAAAK0/dFXtHHnlk9t577wwfPrzHMdXfosWurq7uzwn2AAAAAGDlqTvY22677bLddtv1eH3WrFm59dZbkySbb755kuTxxx/P7Nmz097enqFDh+acc87JHXfckQULFmSjjTbKXnvtlV133bWPjwAAAAAAradPb8Vdnm984xt57rnnsuqqq2bvvfdO8vdqvVqtlv322y/PP//8Uvdcfvnl2W233XLGGWcs83gvAADwgtGjN+jvJQDAK0qz9dirx0oN9s4+++xcd911SZKjjjoq6667bpLknnvuSZIsXrw4b33rWzNu3LhsscUWmTdvXq6//vqcccYZ+cMf/pDjjjsu559//ootoq3utoF9u4fWYG/QE3uDntgbLIt9QU/6sDcmTfrEy7AQXnH83qAn9gbwIist2DvrrLNy5plnJkn22GOPjBs3rvvalltumQMPPDCvetWrcswxx3R/fvDgwTn44IOz5ZZb5sMf/nD++Mc/5sYbb1yxY7kv6uvXK21t9d9Da7A36Im9QU/sDZbFvqAnfdwbY8Ze8DIsZtkmTTy8YXPxIn5v0BN7o7nVai98QB1WONhbvHhxTj755Fx66aVJkl122SXf/e53U3vRZtx1112XG9aNHTs2O+20U26++ebccMMN+u0BAEAPJk9+rL+XAAC8QqxQsDd//vz8y7/8S26++eYkyT777JNvfetbGTRoUN1fa+utt87NN9+cadOmrciSAAAAAGgRVdV8Pfaqqvdj+xzsPfbYYxk3blymTJmSJPn4xz+ez33uc0tV6r1YZ2dnqqrKgAHLnrLrb+XEPV0HAAAAAP6uT103Z86cmUMOOSRTpkxJe3t7TjrppHz+85/vMdTbY4898trXvjY/+clPevyaf/nLX5Ikm2++eV+WBAAAAAAtpe5gb+HChTniiCPy8MMPZ+DAgfn3f//3HHjggcu9Z+TIkamqKtdcc00WL6M+8s4778yECROSvHCcFwAAAABYvrqDvfPPPz9//vOfkyRf+cpXstdee/3Te8aNG5darZa//OUvOfHEEzN//vzuaxMmTMhRRx2Vqqqy//7753Wve129SwIAAACAllOrqt635Fu4cGF22WWXzJ07NwMGDMh222233PG77rprjjjiiCTJj3/845x66qnp7OzMKquskuHDh2fevHndL8vYddddc+aZZ2bw4MF9f5qqqq/DYOJ14fTM3qAn9gY9sTdYFvuCnvRxb9Tav/4yLGbZqs4TGzYXL+L3Bj2xN5pbrfbCB3V58snky1/u71WsXCefnLzqVb0bW9ebKqZMmZK5c+cmSRYvXpxJkyYtd/ymm27a/eePfOQjGTVqVC6++OLcdtttue+++zJ06NC86U1vynve857sv//+PfboAwAAAACWVlewt+222+aee+7p82TbbbddzjjjjD7fDwAAAAC8oE9vxQUAAAAA+lddFXsAAAAA8EpRVcnixf29ipWrntdHqNgDAAAAgAKp2AMAgBW0cHF9f19eqyUD25JFnW11/a180tg31dba/6Vhc1Wd32vYXADQLFTsAQAAAECBVOwBAAAAUKxm67FXDxV7AAAAAFAgwR4AAAAAFEiwBwAAAAAF0mMPAAAAgCJVVfP12Kuq3o9VsQcAAAAABRLsAQAAAECBBHsAAAAAUCA99gAAAAAoVrP12KuHij0AAAAAKJBgDwAAAAAKJNgDAAAAgAIJ9gAAAACgQF6eAQAAAECRqqr5Xp5RVb0fq2IPAAAAAAok2AMAAACAAgn2AAAAAKBAeuwBAAAAUCQ99gAAAACA4gj2AAAAAKBAgj0AAAAAKJAeewAAAAAUq9l67NVDxR4AAAAAFEiwBwAAAAAFEuwBAAAAQIH02AMAgBU0aEBXH+5qy8D2+u/rauDfzVed32vYXLX2jzdknqrzhw2ZB4DGqKrm67FXVb0fq2IPAAAAAAok2AMAAACAAgn2AAAAAKBAgj0AAAAAKJCXZwAAAABQrGZ7eUY9VOwBAAAAQIEEewAAAABQIMEeAAAAABRIjz0AAAAAilRVzddjr6p6P1bFHgAAAAAUSLAHAAAAAAUS7AEAAABAgfTYAwAAAKBYzdZjrx4q9gAAAACgQII9AAAAACiQYA8AAAAACqTHHgAAAABFqqrm67FXVb0fq2IPAAAAAAok2AMAAACAAgn2AAAAAKBAeuwBAAAAUKxm67FXDxV7AAAAAFAgwR4AAAAAFEiwBwAAAAAFEuwBAAAAQIG8PAMAAACAIlVV8708o6p6P1awBwAABWlLV8Pm6mrgAZ+q84cNmafWfkZD5kmSqvP4hs0FQGtyFBcAAAAACiTYAwAAAIACOYoLAAAAQLGarcdePVTsAQAAAECBBHsAAAAAUCDBHgAAAAAUSI89AAAAAIpUVc3XY6+qej9WxR4AAAAAFEiwBwAAAAAFEuwBAAAAQIH02AMAAACgWM3WY68eKvYAAAAAoECCPQAAAAAokGAPAAAAAAqkxx4AAAAARaqq5uuxV1W9H6tiDwAAAAAKJNgDAAAAgAIJ9gAAAACgQII9AAAAACiQl2cAAAAAUKxme3lGPVTsAQAAAECBBHsAAAAAUCDBHgAAAAAUSI89AAAAAIpUVc3XY6+qej9WxR4AAAAAFEjFHgAAsExt6WrYXM8uaEzNQdV5fEPmSZJa+9F13zN69MaZNOlLGTP21Eye/Eiv76s6v1/3XACUT8UeAAAAABRIxR4AAAAAxWq2Hnv1ULEHAAAAAAUS7AEAAABAgQR7AAAAAFAgPfYAAAAAKFJVNV+Pvarq/VgVewAAAABQIMEeAAAAABRIsAcAAAAABdJjDwAAAIAi6bEHAAAAABRHsAcAAAAABRLsAQAAAECBBHsAAAAAUCAvzwAAAACgWM328ox6qNgDAAAAgAIJ9gAAAACgQII9AAAAACiQHnsAAAAAFKmqmq/HXlX1fqyKPQAAAAAokGAPAAAAAAok2AMAAACAAumxBwAAAECxmq3HXj1U7AEAAABAgQR7AAAAAFAgR3EBAAAA4BVkxowZOeSQQ3q8Pn78+CSCPQAA4BVgyCpdDZmnq4GHlqrO7/f53kkTT6hrfK39iD7PVa+q89yGzQXwz1Wpqqq/F7GS1Xo9UrAHAAAAAK8gw4YN667KWx499gAAAACgQII9AAAAACiQYA8AAAAACtSnHntTp07Neeedl1tuuSVPPvlk1lxzzWy//fY5+OCDs/POOy/zntmzZ+ecc87J+PHj8/jjj2eNNdbImDFjcvjhh2fUqFEr8gwAAAAAtKzO/l7AStb7uK7uir2bbrop73rXu/KLX/wic+bMyciRI9PW1pbx48fnYx/7WL71rW+95J4nn3wyH/jAB3LxxRfnqaeeSkdHR2q1Wn7729/moIMOyhVXXFHvMgAAAACgpdUV7M2aNSvHH398FixYkH333Tc33XRTrr766tx00005/fTT097enh/96Ee5/vrrl7rvuOOOy8MPP5ydd945N954Y6688srcdNNNOf7449PZ2ZmTTjop999//0p9MAAAAABoZnUFe1dccUXmzp2bDTfcMKeeempWX3317mv77bdf3v/+9ydJfv7zn3d/fsKECbn11lszZMiQnH766VlzzTVfmLitLZ/4xCey3377ZdGiRTnnnHNWxvMAAAAAQEuoq8fehhtumHe+853ZeuutM2jQoJdc33LLLZMkM2bM6P7cVVddlSTZc889s84667zkngMPPDDXXnttxo8fnwULFmSVVVap6wEAAAAAaFVVmq/HXnuSWq9G1hXs7bvvvtl33317vH7XXXclSTbddNPuz02ePDlJssMOOyzznu222y4DBgzIs88+m7vuuitjx46tZ0kAAAAA0JLqfnnGsjz99NM566yzcuWVV2bAgAEZN25ckqSrqyvTpk1LkmyyySbLvHfgwIFZf/31kyQPPvjgylgOAAAAADS9uir2/tH111+fM888Mw899FAWLlyY17zmNTnppJPy+te/Pkkyd+7cLF68OEmWeQx3ibXWWivTp0/P7NmzV2Q5AAAAANAyVijYu/POO3Pvvfd2/++5c+fmd7/7XcaOHZvVVlstCxYs6L62rJ58SwwePDhJlhoPAABA74wevewTUgCtodl67PXeCgV7hxxySI4++ujMnz8/N998c0477bRceuml+fOf/5xLL700bW1/P+lbq/Xc9K+qqiRZanyf9eVrrIx5aU72Bj2xN+iJvcGy2Bf0xN5ouMZ+x1dgtjr3xqRJJ/Z9Lsri9wbwIisU7G2wwQZJkiFDhuTd7353tt9++xxwwAG56667cs011+Rtb3tb99iFCxf2+HWWXFtSubdCurrqG9/WVv89tAZ7g57YG/TE3mBZ7At6Ym/0i64GRntt6ePPtw97Y8zYb/Ztrj6YNPFLDZuLf+D3RnOr1V74gDqsULD3j0aMGJG99tor1113XW699dYccMABGTRoUBYuXLjc/nlLrq277rorczkAAAAtYfLkh/t7CQD0g7r+umrOnDm56667MmvWrB7HbLjhhkmSJ554Im1tbRk+fHiSdL8d9x8tWrQoM2fOTJJsttlm9SwHAAAAgJbX1WQfvVdXsPe+970v733ve3PllVf2OGb69OlJkvXXXz9Jsv322ydJbr/99mWOv/POO7N48eIMHjw422yzTT3LAQAAAICWVVewt/POOydJLr/88ixatOgl16dNm5YbbrghSbLHHnskSd7xjnckSa6//vrMmTPnJfdccsklSZJ99tknq6yySj3LAQAAAICWVVewd/jhh2eVVVbJ1KlTc/zxxy91JPcvf/lLPv7xj2fBggV5/etfnz333DNJsuOOO2aHHXbIvHnzcvTRR+fJJ59MknR1deX888/Ptddem4EDB2bcuHEr8bEAAAAAoLnVqqqq6rnh97//fY477rg899xzGTRoUIYPH57nn38+U6dOTZKMGjUq55xzTtZZZ53uex555JEcfPDBefzxxzNo0KBsscUWmTlzZp544onUarWcdtpp2X///Vf8aarqhY96eKsQPbE36Im9QU/sDZbFvqAn9ka/aNa34tbaj+jbXH1QdZ7bsLn4B35vNDdvxe2TBx7ozMiR8/p7GSvV/fevnhEj2ns1tu5gL0keeuih/PCHP8yf/vSnzJw5M6ussko6Ojqy//77573vfW8GDhz4kntmzZqVc889N7/73e/y2GOPZdVVV83222+fww8/PG9605vqXcKyCfZYmewNemJv0BN7g2WxL+iJvdEvBHsrTrDXj/zeaG6CvT4R7PUh2HvFEuyxMtkb9MTeoCf2BstiX9ATe6NfCPZWnGCvH/m90dwEe33S6sFe4/5fDQAAAABYaQR7AAAAAFCgAf29AAAAAADou87+XkC/EewBAAAto8997/qgr/382vpwbyP73tXaj2/YXFXnGQ2bC6BEjuICAAAAQIEEewAAAABQIEdxAQAAAChY6/bYU7EHAAAAAAUS7AEAAABAgQR7AAAAAFAgPfYAAAAAKFSV5uuxV/V6pIo9AAAAACiQYA8AAAAACiTYAwAAAIAC6bEHAAAAQMG6+nsB/UbFHgAAAAAUSLAHAAAAAAUS7AEAAABAgfTYAwAAAKBgnf29gH6jYg8AAAAACiTYAwAAAIACCfYAAAAAoECCPQAAAAAokJdnAAAAAFCoKs338oyq1yNV7AEAAABAgQR7AAAAAFAgwR4AAAAAFEiPPQAAAAAK1mw99npPxR4AAAAAFEiwBwAAAAAFchQXAADgZdCWrj7fWe+9zy5oXM1G1XlGw+aqtR/RsLmqznMbNhfAyiLYAwAAAKBQVZqvx17V65GO4gIAAABAgQR7AAAAAFAgwR4AAAAAFEiPPQAAAAAK1teXFZVPxR4AAAAAFEiwBwAAAAAFEuwBAAAAQIH02AMAAACgYJ39vYB+o2IPAAAAAAok2AMAAACAAgn2AAAAAKBAgj0AAAAAKJCXZwAAAABQqCrN9/KMqtcjVewBAAAAQIEEewAAAABQIMEeAAAAABRIjz0AAAAACtZsPfZ6T8UeAAAAABRIsAcAAAAABRLsAQAAAECB9NgDAAAAoFBVmq/HXtXrkSr2AAAAAKBAgj0AAAAAKJBgDwAAAAAKpMceAAAAAAXr6u8F9BvBHgAAQOGGrNK4/6jtauDBr6rz3IbNVWs/vmFzVZ1nNGwuoLk5igsAAAAABRLsAQAAAECBBHsAAAAAUCA99gAAAAAoWGd/L6DfqNgDAAAAgAIJ9gAAAACgQII9AAAAACiQHnsAAAAAFKpK8/XYq3o9UsUeAAAAABRIsAcAAAAABRLsAQAAAECB9NgDAAAAoGDN1mOv91TsAQAAAECBBHsAAAAAUCDBHgAAAAAUSI89AAAAAAqmxx4AAAAAUBDBHgAAAAAUSLAHAAAAAAXSYw8AAACAQlVJuvp7EStZ1euRKvYAAAAAoECCPQAAAAAokGAPAAAAAAok2AMAAACAAnl5BgAAAAAF6+zvBfQbFXsAAAAAUCAVewAAAPRaW7oaNldXA2tRqs4zGjZXrf24uu8ZPXqjTJr0uYwZe0YmT57W6/uqzu/UPRdQDhV7AAAAAFAgFXsAAAAAFEyPPQAAAACgIII9AAAAACiQYA8AAAAACqTHHgAAAACFqtJ8PfaqXo9UsQcAAAAABRLsAQAAAECBBHsAAAAAUCA99gAAAAAoWFd/L6DfqNgDAAAAgAIJ9gAAAACgQII9AAAAACiQHnsAAAAAFKyzvxfQb1TsAQAAAECBBHsAAAAAUCDBHgAAAAAUSLAHAAAAAAXy8gwAAAAAClWl+V6eUfV6pIo9AAAAACiQYA8AAAAACiTYAwAAAIAC6bEHAAAAQMGarcde76nYAwAAAIACCfYAAAAAoECO4gIAAADAK8iMGTNyyCGH9Hh9/PjxSQR7AAAAvEK1pathc3U18EBb1fmdPt87aeLxdY2vtR/d57nqVXV+v2Fzwd9Vab4ee1WvRwr2AAAAAOAVZNiwYd1Vecujxx4AAAAAFEiwBwAAAAAFchQXAAAAgII1rh/nK02fgr2pU6fmvPPOyy233JInn3wya665ZrbffvscfPDB2XnnnV8yftGiRRk9enQWLVrU49dcffXVM3HixL4sBwAAAABaTt3B3k033ZRjjjkmCxYsyKqrrpqRI0dm1qxZGT9+fMaPH5+Pfexj+cIXvrDUPffff38WLVqUVVddNVtvvfUyv+7QoUP79gQAAAAA0ILqCvZmzZqV448/PgsWLMi+++6br371q1l99dWTJNdee22+8IUv5Ec/+lFGjRqVvffeu/u+u+++O0kyduzYXHDBBStx+QAAAADQmup6ecYVV1yRuXPnZsMNN8ypp57aHeolyX777Zf3v//9SZKf//znS923JNjr6OhY0fUCAAAAwIt0NtlH79VVsbfhhhvmne98Z7beeusMGjToJde33HLLJMmMGTOW+rxgDwAAAABWrrqCvX333Tf77rtvj9fvuuuuJMmmm2661OcFewAAAACwcvXprbj/6Omnn86Pf/zjXHnllRkwYEDGjRvXfe3xxx/P7Nmz097enqFDh+acc87JHXfckQULFmSjjTbKXnvtlV133XVlLAPg/7d390Fa1vX+wN8LC4KUdrREw0yeVk0UNGk62QyGmZ4Sjoo1EdqkoJMP/SbG6eEPOzk9TAwnz3QOGeVDnWx6UDo6cjpTnER7cJtApmwjelICZA3QVhZIedjd6/eHP+6fCLfuLnjfXvf9es04I3t9r70+u3z47L2f+3t9LgAAAGgaB9XYW7ZsWRYtWpT169dn9+7dOe6443LTTTdl6tSplTV7d+u1tLRkxowZ2bVr1z6fY8mSJTnnnHNy880351WvetXBhAMAAAAATeOgGnsdHR3585//XPlzd3d3HnjggZx11lmVJt0f//jHJElPT0/e+c535qqrrsrEiROzffv2LFu2LDfffHN+8pOfZP78+bntttsOJhwAAADgec444w31DgFeZkUG+sCJV76i3ytbiqLo/+oX2LRpU4444ojs2LEj7e3tWbhwYbq6ujJp0qTcddddaW1tzU9/+tM8+OCDee1rX5vrr79+v8+xatWqXHbZZSmKIrfeeuvB3ZZbFElLy+DPBwAAAKA01q7dlvHj7653GIfUY4+9L+PGHdGvtQfV2HuhtWvX5qKLLsquXbvyhS98IZdcckm/zrvyyivT3t6e973vffnsZz87+ACK4rn/BmLIkKSvb/DXpHHJDaqRG1QjNzgQeUE1coNq5EZd9GVIza41JIP8+x1Ebpx51oLBXWsQfrXqkzW7VkNqabFZaRCavbF3SB6esde4ceNy3nnn5Qc/+EFWrlzZ78beKaeckvb29mzcuPFQhgMAAABN7de/frzeIQAvowE19rZu3ZqNGzfm9a9/fY466qgDrhkzZkyS5Mknn6x8rLe3N0VRpLX1wJfr+3/vOFQ7DgAAAAAH1mgz9vpvQHuNL7300syaNSv33HNP1TWdnZ1JktGjRydJpk+fnlNPPTXf+ta3qp6zZs2aJMmECRMGEg4AAAAANK0BNfbOPvvsJMmSJUuyZ8+e/Y5v3Lgx999/f5LnGnpJMn78+BRFkaVLl6anp2e/czo6OrJixYokybvf/e6BRQ8AAAAATWpAjb158+ZlxIgRWbduXW644YZ0dXVVjq1ZsyZz587Nzp07M3Xq1Jx77rlJkquuuiotLS1Zs2ZNbrzxxuzYsaNyzooVK3LttdemKIrMnDkzp5122iH6sgAAAACgsQ34qbgPPvhg5s+fn2effTbDhw/P2LFjs2vXrqxbty5JMmXKlCxevHifGXx33nlnFixYkN7e3owYMSJjx47N9u3bKw/LmDZtWhYtWpTDDjvs4L4aT8XlUJIbVCM3qEZucCDygmrkBtXIjbpo1Kfitgy9bnDXGoSi95aaXasheSruoKxd253x479d7zAOqccem5Nx447s19oBN/aSZP369bnjjjvy0EMPZcuWLRkxYkTa2toyc+bMzJo1K8OGDdvvnI6Ojnzzm9/Mww8/nK6urowaNSonn3xyLrnkksycOTMthyJ5NfY4lOQG1cgNqpEbHIi8oBq5QTVyoy409g6ext5B0tgbFI29QTT2XrE09jiU5AbVyA2qkRsciLygGrlBNXKjLjT2Dp7G3kHS2BuUZm/s1a5yAQAAAACHTGu9AwAAAACAwWveXc527AEAAABACdmxBwAAQNMb9Ny7QRjsPL8hgzi3lnPvWoZ+vGbXKnoX1uxa8Epmxx4AAAAAlJDGHgAAAACUkFtxAQAAACix3noHUDd27AEAAABACWnsAQAAAEAJaewBAAAAQAmZsQcAAABASRVpvBl7Rb9X2rEHAAAAACWksQcAAAAAJaSxBwAAAAAlZMYeAAAAACXWaDP2+s+OPQAAAAAoIY09AAAAACghjT0AAAAAKCEz9gAAAAAoMTP2AAAAAIAS0dgDAAAAgBLS2AMAAACAEjJjDwAAAICSKtJ4M/aKfq+0Yw8AAAAASkhjDwAAAABKSGMPAAAAAEpIYw8AAAAASsjDMwAAAAAosb56B1A3duwBAAAAQAlp7AEAAABACbkVFwAAAGpoyKBvGxwy4HP7arifp+hdWLNrtQz9PzW7VtH7HzW7FgyUxh4AAAAAJdZb7wDqxq24AAAAAFBCGnsAAAAAUEIaewAAAABQQmbsAQAAAFBSRRpvxl7R75V27AEAAABACWnsAQAAAEAJaewBAAAAQAmZsQcAAABAiTXajL3+s2MPAAAAAEpIYw8AAAAASkhjDwAAAABKyIw9AAAAAEqqSNJX7yAOsaLfK+3YAwAAAIAS0tgDAAAAgBLS2AMAAACAEtLYAwAAAIAS8vAMAAAAAEqst94B1I0dewAAAABQQhp7AAAAAFBCGnsAAAAAUEJm7AEAAABQYmbsAQAAAAAlorEHAAAAACWksQcAAAAAJWTGHgAAAAAlVaTxZuwV/V6psQcAAAANakj6anatvhreFFj0/kfNrtUy9IaaXOexx27MuHFH1+RaNA634gIAAABACWnsAQAAAEAJuRUXAAAAgBJrtBl7/WfHHgAAAACUkMYeAAAAAJSQxh4AAAAAlJAZewAAAACUWF+9A6gbO/YAAAAAoIQ09gAAAACghDT2AAAAAKCENPYAAAAAoIQ8PAMAAACAkiqS9NY7iEOs6PdKO/YAAAAAoIQ09gAAAACghDT2AAAAAKCEzNgDAAAAoMQabcZe/9mxBwAAAAAlpLEHAAAAACWksQcAAAAAJWTGHgAAAAAlVaTxZuwV/V5pxx4AAAAAlJDGHgAAAACUkMYeAAAAAJSQGXsAAAAAlFijzdjrPzv2AAAAAKCENPYAAAAAoIQa6lbcPT0tefzxln6vHz48Of74ZOMTQ7J798CuNe7EvgFGBwAAAI1rSGr3e3JfDfcpFb031+ZCLf3vZ8BeduwBAAAAQAk11I49AAAAAJqNh2cAAAAAACWisQcAAAAAJaSxBwAAAAAlZMYeAAAAACVVJDV8InNtFP1eacceAAAAAJSQxh4AAAAAlJDGHgAAAACUkBl7AAAAAJRYb70DqBs79gAAAACghDT2AAAAAKCENPYAAAAAoITM2AMAAACgxMzYAwAAAABKRGMPAAAAAEpIYw8AAAAASsiMPQAAAABKqkjjzdgr+r3Sjj0AAAAAKCGNPQAAAAAoIY09AAAAACghjT0AAAAAKCEPzwAAAACgxPrqHUDd2LEHAAAAACWksQcAAAAAJdRSFEVR7yAOlaJIenr6v76lJWltfe6cgX4XhrU2zLeNalpaBp4YNAe5QTVygwORF1QjN6hGblCN3Kgo0lKza7Wkht/zltp9XY2ip6c3GzY8We8wDqkTTnhdtmzZnMsvv7zqmuXLlydpsBl7LS3JsGEDP691UN8F/9iagqJKNXKDauQGByIvqEZuUI3coBq5kaTWv5H7nr+StbYOzbhxx9Y7jEPuySf716xsqB17AAAAANAszNgDAAAAgBLS2AMAAACAEtLYAwAAAIAS0tgDAAAAgBLS2AMAAACAEtLYAwAAAIAS0tgDAAAAgBLS2AMAAACAEtLYAwAAAIAS0tgDAAAAgBLS2AMAAACAEtLYAwAAAIASaq13ALX27LPP5vbbb8///M//ZOPGjRk1alQmTZqUD37wg5k2bVq9w6OOpk+fns7Ozhdd8/DDD+eII46oUUTU2/e+9718+tOfzuc+97m8973vPeCap59+OosXL87y5cuzefPmHHHEETnzzDMzb968TJkypbYBUzMvlRt79uzJGWeckT179lT9HK9+9auzatWqlzNMXmabNm3K17/+9fz85z/PE088kSQ5/vjjc8455+TKK6/M0Ucfvd85akZzGGhuqBnNYd26dbn11lvzi1/8Ik899VSOPPLITJ48OXPmzMnZZ599wHPUjOYw0NxQM4Dna6rG3jPPPJMPfehD+c1vfpNhw4Zl4sSJ2bp1ax566KE89NBD+chHPpLrr7++3mFSB9u3b09nZ2eGDh2ayZMnV103dOjQGkZFPXV0dGThwoUvuuapp57K7Nmzs2HDhowcOTJtbW3ZvHlzfvzjH+eBBx7IZz7zmVx66aU1ipha6U9uPPbYY9mzZ09GjhyZU0455YBrRo0a9XKER42sWrUq11xzTbZt25ahQ4fmhBNOSF9fX/7yl7/k0UcfzX333Zfbb789J598cuUcNaM5DCY31IzG9/Of/zzXX399du7cmZEjR2b8+PHp6urK8uXLs3z58lx55ZX5xCc+sc85akZzGExuqBnAPoom8olPfKJoa2sr/vmf/7l44oknKh+/9957ize96U1FW1tb0d7eXscIqZeVK1cWbW1txQUXXFDvUHgF+OUvf1lMnTq1aGtrK9ra2oq77777gOsuu+yyoq2trbjiiiuKrVu3FkVRFL29vcXXvva1oq2trTj11FOLRx99tJah8zLrb27ce++9RVtbWzF37twaR0gtdHd3F29961srf8ebN2+uHNuwYUPx/ve/v2hrayumT59e7Ny5s3JMzWh8g80NNaOx/e1vf6v87Jg/f36xbdu2yrGlS5cWp5xyStHW1lb86Ec/2uc8NaPxDTY31Azg+Zpmxt6GDRuydOnSDBkyJF/84hdz3HHHVY5ddNFFmTdvXpJk0aJF9QqROvrDH/6QJGlra6tzJNTTrl27smjRolxxxRXp7u5+0bUrVqzIypUrc/jhh+eLX/xijjzyyCTJkCFDcvXVV2fGjBnZs2dPFi9eXIvQeZkNJDcSNaXR3XPPPenq6soxxxyTL33pSznmmGMqx97whjfklltuyZFHHpmNGzfmRz/6URI1o1kMJjcSNaPRff/73093d3fGjBmTBQsW5NWvfnXl2IwZMyojHb73ve9VPq5mNIfB5EaiZgD7aprG3n333Zfe3t5MmTIlEyZM2O/4Bz7wgSTJr371q8osFJrH3h+OEydOrHMk1Mv69etz/vnn58tf/nKS5KMf/WjGjBlTdf29996bJDn33HNz1FFH7Xd89uzZSZLly5dn586dL0PE1MpAcyPxgrvRrVixIknyjne8I6961av2O37UUUfljDPOSJL89re/TaJmNIvB5EaiZjS6MWPG5MILL8wHPvCBDB8+fL/jJ510UpLs8zuImtEcBpMbiZoB7KtpZuw98sgjSZI3v/nNBzw+evTojBkzJp2dnVm5cmUuuuii2gVH3e394bj3hyfNZ9OmTfnrX/+aKVOm5FOf+lQmTZqUJUuWVF3/61//Okn1mnL66aentbU1zzzzTFavXp2zzjrrZYmbl99AcyPxgrvRXXPNNTn//PMzduzYqmuKokiS9PX1JVEzmsVgciNRMxrde97znrznPe+penz16tVJkje+8Y2Vj6kZzWEwuZGoGcC+mqaxt379+iTJCSecUHXN3sbeunXrahQVrwS9vb159NFHkyTHHHNM/vM//zOrVq3K9u3bM3r06Jxzzjm54IILMmRI02xwbUrHHntsbr311n49Hbuvry8bN25MUr2mDBs2LKNHj05nZ2f+8pe/eMFdYgPJjSTZvHlznn766QwdOjSjRo3K4sWL85vf/CY7d+7M8ccfn/POO89T2Evu9NNPz+mnn171eFdXV1auXJkkmTBhgprRRAaaG4ma0cy2bduWO++8M/fcc09aW1tz1VVXJfE6g+q5kagZwP6aprH3t7/9LUkOuJV9r9e85jVJnnusPM1j3bp1lVsYrrjiivz973/f5/h9992Xb3zjG7nlllv2mZVDY3njG9+437uh1XR3d6enpyfJS9eUzs5ONaXkBpIbyf9/F72lpSUzZszIrl279jm+ZMmSnHPOObn55psPeKse5ff5z38+zz77bEaOHJnzzz9fzaDihbmRqBnNaNmyZVm0aFHWr1+f3bt357jjjstNN92UqVOnJvE6o5m9VG4kagawv6bZgrS3cXOg2QV7HXbYYfuspTns/eGYJKeddlq+/e1v55FHHsmKFSvyr//6r3nd616Xjo6OXH311dm9e3cdI+WV4vk1Qk3hhf74xz8mSXp6evKOd7wj//Vf/5WOjo60t7fnX/7lXzJq1Kj85Cc/yfz58+scKS+Hr3zlK/nBD36QJLn22mtz9NFHqxkkOXBuJGpGM+ro6Mif//znyuvK7u7uPPDAA9mxY0cSrzOa2UvlRqJmAPtrmh17Q4cOTV9fX1paWqqu2TvzxC2XzeW4447L5ZdfniFDhuSTn/xk5e9/5MiRmTlzZk477bRcfPHF+f3vf5/vf//7lQet0LyeXyPUFF7opJNOyuzZs/Pa1742119/feXjhx12WObMmZOTTjopl112WX72s5/lpz/9qdtlGsiXv/zlLFq0KEkyffr0yq1TagbVciNRM5rR5Zdfnuuuuy47duxIe3t7Fi5cmLvuuiu/+93vctddd6kZTeylcqO1tVXNAPbTNI29ww8/PN3d3fttVX6+ve+M7H33i+Zw5pln5swzz6x6fOzYsZkxY0buvvvu3H///Rp7ZNSoUZX/f7FdnGpKc5o2bdqLvog+66yz8ra3vS3t7e25//77veBuAD09PfnMZz6Tu+66K0ny9re/PV/60pcqv5CrGc3rpXIjUTOa0bHHHpvkud9PLr744kyePDkXXXRRVq9enaVLl+Zd73pXZa2a0VxeKjcuueQSNQPYT9O8vfMP//APSZKtW7dWXbN3PsXeWyNgr1NOOSVJKoOMaW6HH3545daYF5tro6ZQjZrSOHbs2JGrr7660rh597vfncWLF+/zi7aa0Zz6kxv9pWY0tnHjxuW8885LkqxcuVLNoOKFudFfagY0l6Zp7I0bNy7Jixe3zs7OJMmJJ55Yi5B4Benr63vRd0T33urQ2to0m1x5EUOGDMnYsWOTVK8pe/bsyZYtW5KoKc2ot7e3Mvj8QPr6+pKoKWW3adOmzJ49O+3t7UmSuXPn5t/+7d/2m4mlZjSf/ubGXmpGY9u6dWtWr16drq6uqmvGjBmTJHnyySfVjCYy0NzYS80Anq9pGnuTJ09OkjzyyCMHPL558+Y88cQTSZIzzjijVmHxCjBnzpxMmjQpCxcurLrmd7/7XZJkwoQJtQqLV7iXqikdHR3p6enJYYcdlje96U01jIx6mz59ek499dR861vfqrpmzZo1SdSUMtuyZUsuv/zy/OlPf8rQoUNz00035eMf/3jVeVhqRvMYaG6oGY3v0ksvzaxZs3LPPfdUXbN3g8Ho0aOTqBnNYjC5oWYAL9Q0jb0LLrggyXNbmNeuXbvf8e985ztJkre85S05/vjjaxob9TVx4sT09vbmf//3f/d54tRenZ2d+eEPf5jkudtoIEn+6Z/+KUmybNmyA97i/93vfjfJczkzYsSIWoZGnY0fPz5FUWTp0qUHfDe9o6MjK1asSKKmlNXu3bvz4Q9/OBs2bMiwYcPy7//+75k9e/aLnqNmNIfB5Iaa0fjOPvvsJMmSJUuyZ8+e/Y5v3Lgx999/f5LnmjaJmtEsBpMbagbwQk3T2DvxxBNz4YUXpre3Nx/5yEeyfv36yrH77rsvt99+e5LkmmuuqVeI1MmHPvShDB8+PJs3b878+fP32eb+hz/8IXPnzs0zzzyTqVOn7jPMmOb2j//4j3nzm9+c7du357rrrstTTz2V5LlbH2677bb893//d4YNG7bPkw9pDldddVVaWlqyZs2a3Hjjjfu8YbBixYpce+21KYqi8tRtyue2226r7OT+9Kc/XZl/9GLUjOYwmNxQMxrfvHnzMmLEiKxbty433HDDPrddrlmzJnPnzs3OnTszderUnHvuuUnUjGYxmNxQM4AXain2Dg9rAk8//XQ++MEPVm6NaGtry7Zt2yrbm+fPn58Pf/jDdY6Seli2bFk+9rGPZdeuXRk2bFjGjh2bnp6eyu7OSZMm5Y477shrXvOa+gZKTU2fPj2dnZ353Oc+l/e+9737HX/88cczZ86cbN68OcOHD8/EiROzZcuWPPnkk2lpacnChQszc+bMOkTOy+2lcuPOO+/MggUL0tvbmxEjRmTs2LHZvn17ZVbStGnTsmjRIk8yLKHdu3fn7W9/e7q7u9Pa2prTTz/9RddPmzat8tpCzWhsB5Mbakbje/DBBzN//vw8++yzGT58eMaOHZtdu3Zl3bp1SZIpU6Zk8eLFOeqooyrnqBnNYTC5oWYAz9dUjb0keeaZZ3LHHXfkhz/8YR5//PG0trZm0qRJueyyy3L++efXOzzqaO3atfnGN76R9vb2bNmyJSNGjMiECRNy4YUX5v3vf7/hs03opZo3SdLV1ZWvfvWreeCBB7Jp06aMHDkykydPzrx58/LWt761xhFTK/3JjY6Ojnzzm9/Mww8/nK6urowaNSonn3xyLrnkksycObPqvC1e2VavXp1Zs2b1e/3FF1+cBQsWVP6sZjSug80NNaPxrV+/PnfccUceeuihymvNtra2zJw5M7NmzcqwYcP2O0fNaA6DyQ01A9ir6Rp7AAAAANAImmbGHgAAAAA0Eo09AAAAACghjT0AAAAAKCGNPQAAAAAoIY09AAAAACghjT0AAAAAKCGNPQAAAAAoIY09AAAAACghjT0AAAAAKCGNPQAAAAAoIY09AAAAACghjT0AAAAAKCGNPQAAAAAoof8LH7cCuepCJqQAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -3810,7 +3801,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "  0%|          | 0/10 [00:00"
+       "
"
       ]
      },
      "metadata": {
@@ -3992,9 +3983,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAABKUAAANBCAYAAAAxzw1RAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOz9e5ycZ33f/7/v+57zYWeP2pW0B8myJINMIAYEdg4QjoEQ3FBDmlAwJsZtU5r2Sx5xkkeT/PJND2lS+mhD0pIaO5iEpKRAgRBDyYGSQ034mhAgtrEkS9rdWUm7Wu15zof7/v2x0uze98xK2tXu3HN4PR8h8n3dM+OPPDsze7/nuj6X4TiOIwAAAAAAAKCJTL8LAAAAAAAAQPchlAIAAAAAAEDTEUoBAAAAAACg6QilAAAAAAAA0HSEUgAAAAAAAGg6QikAAAAAAAA0HaEUAAAAAAAAmi7gdwGtZGkpK9t2/C4DXW5gIKGFhYzfZQBdjdch4C9eg4D/eB0C/uqU16BpGurri295nlBqE9t2CKXQEvg5BPzH6xDwF69BwH+8DgF/dcNrkOV7AAAAAAAAaDpCKQAAAAAAADQdoRQAAAAAAACajlAKAAAAAAAATUcoBQAAAAAAgKYjlAIAAAAAAEDTEUoBAAAAAACg6QilAAAAAAAA0HSEUgAAAAAAAGg6QikAAAAAAAA0HaEUAAAAAAAAmo5QCgAAAAAAAE1HKAUAAAAAAICmI5QCAAAAAABA0xFKAQAAAAAAoOkIpQAAAAAAANB0hFIAAAAAAABoOkIpAAAAAAAANB2hFAAAAAAAAJqOUAoAAAAAAABNRygFAAAAAACApiOUAgAAAAAAQNMRSgEAAAAAAKDpCKUAAAAAAADQdIRSAAAAAAAAaLqWDKV+4Rd+Qe9617tu6rbpdFrvf//7dfLkSZ08eVIPP/ywFhcX97hCAAAAAAAA3IqA3wV4ffKTn9QnP/lJnTx58oa3XVpa0v33369SqaQHH3xQ1WpVjz32mE6dOqVPfvKTCoVCTagYAAAAAAAA29UyoVS1WtWHP/xh/dZv/dZN3+fxxx/X7OysPv/5z+vIkSOSpBe/+MV64IEH9NnPflbveMc79qpcAAAAAAAA3IKWWL5XLBb1Iz/yI/rN3/xN3XvvvRoeHr6p+z3xxBM6efJkLZCSpHvuuUeHDx/WE088sVflAgAAAAAA4Ba1xEypYrGoTCaj//yf/7Pe/OY36zWvec0N77OysqJ0Oq03vvGNdedOnDihr3zlK3tQaWu7tHJZT1++qLJd9bsU3ILguYDK5YokyXakmdL2lqEaV/8MG46GQ+WGt7lUCqrsGHXj9SP158fCpYbnFssBZe2d5dz7Q2WFTKdufK1qaqliNazjRvoDFSUsu268aBu6XA7e8P6N/h0Jq6q+QP3ry3akC5uep4DhKGLaipqOomZVcctW3LSVsKqKmbbCpiPjZv4S8E15Naxctuh3Gdhru/pCbM3HMlry73jjx7FzUWWzFRmmJcMIyDADMoz1f5ZrLLBxm83neJMFAKAttEQolUgk9Cd/8icKBG6+nLm5OUlqOKtqaGhImUxGa2trSiaTu1ZnK5tdndeHT19RRXG/S0ELOV2I7vpjni9G2uIxz+76I+42R4YcBVRRShmFjLKCKiuoikJX/ywoJFO2IioqopJiKihq5BVWSWFj/TZBlWXJJuTaZSt+FwB0ueVbvL9TdaRr/6s4cuyNf1bVcZ+vesa2uE3dfSo3cZv670aAtnHa7wKALpcePaiBf/SPFbvjBX6XsqdaIpQyTVOmub0ZFtlsVpIUjdZfdIfDYUlSLpfrmlDq3OKcKgr7XQaAm2bIkaGyQrqifql+olhjDW/nyJQtU7Ys2Qqool6tuoKroCoKGWWZjq2QSooYpfVzRlmhTbcJqiLTuNliAKA1GZYhWRtpvV+5fS0Mu05w5WwKwq4bhtXdRlLVlqqSc/VPVa4e2+7bq8r7OgC0m/zMBc393uM6/O9+ze9S9lRLhFI7Yds3/uppu0HXwEBip+X47rs1of89P6NK+z6lAHbMuBpHWapIKiqsrOL1AZazxT83fLSqLFVrQVVIZcWVU9gor8/kMiqemV1lherGKrJUZRYXgK5lmIZkGtKmVeO+BWSNZo9dJwy7mRlm3sfcPOYsl9fHAAA7ZlmmhoY6e6JN2yYY8fj6MrVisb7nx7Wxa7e5WQsLGdl2e354RpXUA9GMvjV1VuUqc8XbTdkMyDZMhaol1y+rjgxdShzYGNjGb7LBakmD+Suux7pmPrZPFXM7L/9r93W0P3Op7qxjSMvhPuWDWy0X3LpwR9Jg7rKCdqXuXDYY12o4dcPHavSq7S0uKVrJ142XzJAWYkNb1nM9sXJWqeJK3b/PlqG5Tc9T1bRUMQOqGAHZpqWqYcoxzPXnoA0SGkemKjJVUVB177CO588bPpgty64oYFcVtEsK2mWFKiWF7KLClaJCdknBallBu6xgtaTQ1T+Drj/L6/etlmXe9L8Y2CWt2JLpZh+oeS2gdv+xjKsznSxjY9ZT4OqxufHPrvOWIVmSEWiJfXxaTrNnjzklW5W/XVL1GyyIBoCdiI6OauAfvVPz82t+l3JLTNO47gSgtg2lDhxYvwCcn5+vO3f58mX19PQoFos1uyxfHb7z5Tp858v9LgM78FezS/pi+ooSAUu3DyT0op6YXtDbvjP3sLWK7ShfqWq1XNFauSo5UjxoqWjbKlVtFau2ivb6n9+4sqpS1VHZsVWxHVUdp/1WYBimqlZIVUsq6tZ7nFmGFDJNhS1TEcv9Z9gyFTZNhTaNX7vt+jlDYevqedNU0DS2bIY8NJRs+18AgHZ2K69Bx3EkpyrHqcixr/1ZkXN1THbFc+7qn1f/WbXbXzu3+TEqkuf2m//Upn+PY1d08wl+5zFCpoJ3Dyj5xldoYOIfyAp01+/lnYDPQsBf3fIabNtQqqenR6Ojo3rmmWfqzj377LO68847fagK2Jl0piBJylSq+ubcikbD29txD+0jYBpKhgJKhm789vuq/f0Nx8u2rULVVqGy/me2sh5w5cpVZSvruwMe6Yk1CLocfWthVavl9t2hs+pI+aqt/C7MCDUkha4GVRHLuhpeGQpblu7KF3U8EpLZBjPbALgZhiEZARkKSPUbuDaV49gbAZdTbRCIbT7nGWsQftXdxqk2CMuqdY8hx7/3/cLq85p97hENHvqHCifGfKsDANCa2jaUkqQ3vOEN+t3f/V2dPXtWR44ckSQ9+eSTOn/+vH7iJ37C5+qAm3ctlLpmPL77u9GhcwRNU0HTVDJ449t6vWlsUI7jqGw768FW1VahWq39c76yHmxly1XlKuvHhaqtkm3r+0b6NgVdTm387GpOy6X65ZetzpFUtB0V7WpdUPfMUkY/NDao7xnp86c4AB3BMEwZVkiSv182bT17bCPE0pazx9ZDrfqwrFEgtn77cnFBTnVjAXi1vKq5Mx9T74HXKLnv7i1nqQIAuk/bhFLpdFrf+MY3dNddd2lsbP1blve973363Oc+p/e85z1673vfq2KxqEcffVQnTpzQvffe63PFwM1ZKZW1Ut64oA+ahkZi7KSIvWMYhkKWoZBlqmcXHm+pWNZqqXKdkGv9z/y1WVtXw6yy7ejVI30KWObG+NVZXXP5ohaL/gZdfzW7RCgFoCM0e/ZYpbSiK5OfVik7s2nU1vLFP1MxO62B8XtlBm59STcAoP21TSj11FNP6ed//uf1q7/6q7VQqr+/Xx//+Mf1q7/6q/rQhz6kSCSi173udXr44YcVCrH8Ce1h2jNLaiIVU8DkG0S0j75wUH3h7U/bsp319vuNvjFPZwo6u5pzB10V++rSvfV/Ll4NtrxO9CaUCgdcAVixamu1VNHSNmZ0rZarKlZthS2aJgPAdgRCKQ0fvV/LF/9ca5f/xnUuv3Jal049osFD9ykcP+hThQCAVmE4jtO9HRg92nn3PbSvL0zP66/nlmvHbzi8T68e9O44B6AR23FUrAVX6/8bigSVCNZ/55LOFPRnFxbqZnQ1CrauedftI3pBX2dvwwu0om5p7toNciuntDD1OTlV95dwMkz1HXi9EkMnWc7XongdAv7qlNdgx+6+B3SKdNb9S9ptvXGfKgHaj2kYigYsRQM3Xo8ylojogeP138pXbUdFe71x/G8+M6XippDqmaUsoRQA3IJY6rhCxx/SlclPqZS7uHHCsbV04UsqZKc1MP7DMi36aQJAN2JNAuCjiu3oQrboGjtMKAU0lWUaigUs9UeCGo66+7lNZvI+VQUAnSMQ7tXw0QeUGDpZdy6//B3NPvcRlXKXfKgMAOA3QinAR7P5oiqbVtD2BAPqj9IPDfDLkR53493lUkVVlnUDwC0zTEv9oz+owcNvl2G6vwColJY0e/p3tDb/lOgsAgDdhVAK8JG3yflYgqnrgJ9eNtSj6KbG5rYjXcoVr3MPAMB2xHpfoJE73qdgdMR9wqlqaeaLWpj8X7KrvO8CQLcglAJ8lPaEUuOEUoCv+sIhHemJucZYwgcAuysY7tfIsfcqMfiyunO55Wc0e+ojKuVmfagMANBshFKAj7xNzsfjhFKA3yY84fAUoRQA7DrDDKh/7M0aOPQ2Gaa7dUGluKi507+jzJVvsJwPADocoRTgk0y5osViuXZsGtKBePg69wDQDIeS7r5Sk2sFLooAYI/E++7UyPH3KRgZdo07TkWL6T/WwtRnZVdLPlUHANhrhFKAT7yzpPZHwwqavCQBv43Ewgpv6iuVrVS1sClABgDsrmBkQMPH36v4wHfXncst/b1mTz2qUv6yD5UBAPYaV8CAT0bjEd13eFgnh1LaHwtrwjM7A4A/LMPQkb64a2xyNedTNQDQHUwzqIHxH9bAxD+QYQZd5yrFK5o79agyC9/yqToAwF4J+F0A0K2SwYDuGuzRXYM9ksTyIKCFRAKW6/g7Kzm9bF+vP8UAQBeJ93+XQtH9ujL5KZUL87Vxx6locfpzKmam1Df2Jpme4AoA0J6YKQW0CMMw/C4BwFXLBfdyvWnPTpkAgL0TjA5p+NhPKN7/4rpz2cVvau7UYyoXrvhQGQBgtxFKAQDg8cLBpOs4W6lqrVzxqRoA6D6mFdLAxL3qH3+rDMO9uKNcuKzZUx9RdvHvfaoOALBbCKUAAPA42p+oG5taY7YUADRbYuAlGj7+EwqEB1zjjl3WwtRntDj9x3JsvjQAgHZFKAUAgMehVLxu7CzNzgHAF6HosEaOP6hY35115zIL39Ds6d9RubjoQ2UAgFtFKAX44K9nl/Sd5YwyLAcCWlIsaKkn6F4ucnaNUAoA/GJaYQ1M/Ij6xn5IMtybUZTzs5p97hHllp71qToAwE6x+x7QZPlKVV9IbzTnHAgH9a/unJBl0ugcaCWHkhF9ezFTO14olFWq2gpZfJ8DAH4wDEPJwZcqHDugK5OfVmXT7CjHLunK5KeUyLxcfQdfL8PkMgcA2gG/WQNNls66+9IETYNACmhBh5Mx17Gj+tcvAKD5QrH9Gjn+PsV6X1h3LnPlKc2d/qgqxSUfKgMAbBehFNBkac/W8mOJiE+VALieRq/N8/SVAoCWYFphDRz6h+obfVPdcr5S/pIunXpEueXnfKoOAHCzCKWAJvPOtBiPE0oBrWg4GpLlmcR4di3vTzEAgDqGYSg59HINH3tAVqjXdc6pFnXl/P/U0syX5NhVfwoEANwQoRTQRLbjNJgpFfWpGgDXYxmGRmJh19hMtqCq4/hUEQCgkXDsgPYff0jR1PG6c2vzX9PcmcdVKS03vzAAwA0RSgFNtFAoK1+1a8cRy9RgJOhjRQCu5zZPaFx1pNlc0adqAABbMQMRDR5+h3oPvkHeS5xS7oJmn3tE+ZXT/hQHANgSoRTQRN6le2PxiEyDJudAq2rUV2oqQ7NzAGhFhmGoZ98rNXzsPbKCKdc5u1rQ/LlPaOnCn8pxWM4HAK2CUApoommanANtpdHy2nM0OweAlhaOj2rkjocU6Tlad27t8ld1+czvqlJa9aEyAIAXoRTQRI1mSgFoXalQQPGAe1en6UxeDn2lAKClWYGohm77R+o98FpJ7lnpxWxas6ceUX71eX+KAwDUEEoBTVKq2nW9aJgpBbS+f3liXEFz44ImU7G1VKz4WBEA4GYYhqGe4e/RvqP3ywomXefsSk7zZ/9Ayxe/LMext3gEAMBeI5QCmmQmW9DmuRWDkaBinhkYAFpPIhSom9U4mcn7VA0AYLsiiXGNHH9IkeSRunOrc3+ty8//nqrlNR8qAwAQSgFNwtI9oH1NJN29paYIpQCgrVjBuIaO/LhS+39Adcv5MlO69NwjKqyd86c4AOhihFJAk3ibnI+zdA9oG4c8r9fJNXbgA4B2YxiGUiPfp323v0tmIOE6Z1eyuvz8x7V86Sss5wOAJiKUAppkNu/tJ1W/qxeA1jSeiLq+V58vlJQts6U4ALSjSPKQ9t/xkMKJw3XnVmf/Upef/31VyxkfKgOA7kMoBTTJB+48pH/+wjG9dWJIdw0mNRwN+V0SgJsUtkztj4VdYyzhA4D2ZQUT2nf7O5UaeVXduWLm/NXlfJPNLwwAugyhFNAklmnoYDyiV+7r1X2HR2QZxo3vBKAlpDMFrZbcO+4RSgFAezMMU6n9r9K+I/9YZiDuOmdXMrr8/O9pZfav5DjOFo8AALhVhFIAANxAyDKUqbiX651fJZQCgE4Q6blNI3c8pHBiwnPG0cql/6P5s3+gaiXnS20A0OkIpQAAuIGhSEhh0z278WKuqFKVZrgA0AkCwaT23f4u9Qx/b925wtpZzT7331XMTPtQGQB0NkIpAABuwDQMjXl24LMlzWTZhQ8AOoVhmOo98BoNHflxmZZ7Q5pqeU1zZz6m1bknWc4HALuIUAoAgJswGo/UjU1lCKUAoNNEe27XyB0PKRQf9ZxxtHzxzzR/7hOqVljCDQC7gVAK2GNfn1/R7525qK9cXNTZ1ZyKLPcB2tJ4olEoxUUJAHSiQCil4aP3K7nv7rpzhdUzmn3uERWzMz5UBgCdhVAK2GNnVnL6znJWf3JhQY+duqCvz6/4XRKAHWg0U2pyLS+bZRwA0JEMw1Lfwddr8LYflWm5PwOq5RXNnXlcq5f/huV8AHALCKWAPZb29JwZT0S3uCWAVpYIBtQXCrjGSrajuXzJp4oAAM0QSx1fX84XO+A+4dhavvAnunL+k7IrLOcGgJ0glAL20GqpouVSpXZsGYb2x0I+VgTgVnibnUvrs6UAAJ0tEOrV8NEHlBx6Rd25/MpzunTqERVzF32oDADaG6EUsIemPU2QD8TCCpi87IB2Ndaw2TmhFAB0A8O01Df6Rg0efocMK+w6Vy0ta+70R7U2/xTL+QBgG7g6BvZQ/dK9+gtaAO2j8UypAhcgANBFYr13aP/xhxSK7nefcKpamvmiFiY/Lbta9Kc4AGgzhFLAHkp7ZlA0mmUBoH3sj4VlGe6x1bJ7mS4AoPMFwn0aPvaAEoMvrzuXW35Ws6c+olJu1ofKAKC9EEoBe6RqO7qQc39LxkwpoL0FTVP7Y+G6cZbwAUD3McyA+sfepIFD/1CG6e4ZWikuavb0Y8pc+Vtm0wLAdRBKAXtkNl9U2d74JSQZtJTy7NwFoP00mvE4ucauSwDQreJ9JzRy/H0KRofdJ5yqFtNPaGHqM7Kr7NQKAI0QSgF7xNtPaiwekWEYW9waQLu4rSemg57ZUsyUAoDuFowMaPjYe5UYuKvuXG7pac2eelSl/GUfKgOA1kYoBewR7857LN0DOsOJvoTee/ygNkfMc/mS8pWqbzUBAPxnmkH1j79FAxM/IsMMus5Vilc0d+pRZRa+6U9xANCiCKWAPZL2hFJjiahPlQDYbdGApZGou3/IVIYlfAAAKd7/ovXlfJEh17jjVLQ4/UdamPqcbLvsU3UA0FoIpYA9kC1XtVDc+GXDlOqW+wBobxNJd9A8tcYSPgDAumBkUMPHH1S8/yV157KL39LcqUdVLsw3vzAAaDGEUsAe8PaTGomFFbJ4uQGdZMIz+3GSvlIAgE1MM6iBibeqf/ytMgz3ZjflwrxmTz2q7OK3faoOAFoDV8nAHnDk6EAsXHuBjdFPCug4h5Lu1/VMtqiybftUDQCgVSUGXqLh4w8qEB50jTt2WQtTn9XC9B+znA9A12J/emAPvKA3oRf0JlSq2rqQKyrKLCmg4ySDASUDltauNjivOo4uZIs6lKR/HADALRTdp5HjD2ox/YRyS3/vOpdd+IZK2QsaPHyfgpEBnyoEAH9wpQzsoZBl6nAyqhH6SQEd5789m64FUtdMsYQPALAF0wppYOIfqH/sLZJhuc6VC3OaPfURZZee8ak6APAHoRQAADvg3X1PkiZpdg4AuA7DMJQYvEsjx35CgXC/65xjl7Qw+Wktpr8gx674VCEANBehFAAAOzDaoFfcVKYg23F8qAYA0E5CsRGNHH+fYr0n6s5lrnxds6c/qnJx0YfKAKC5CKUAANiBsXh9KFWo2rqcL/lQDQCg3ZhWWAOH3qa+0TfVL+fLX9Lscx9Rbvk7PlUHAM1BKAXsspynxwyAzjQSDStoGnXj9JUCANwswzCUHHq5Ro49oECoz3XOsYu6cv6TWpr5khyb3y8BdCZCKWAXFSpV/bu/O6cPfntSf3h2Vl+dW5bDUh6gI1mmoQMNNjGYWiv4UA0AoJ2FYgc0cvx9iqbuqDu3Nv81zZ35qCrF5eYXBgB7jFAK2EUz2aIcSYvFsr61uKavza/IMOpnUgDoDI2W8E0yUwoAsANmIKLBw29X78E3Sob7Mq2Uu6hLpx5RbuWUT9UBwN4glAJ20XTWPUNivMEFK4DOMdag2flyqaLlYtmHagAA7c4wDPXse4WGjz4gK5RynXOqBV0594dauvCnchyW8wHoDIRSwC5Ke2ZINLpgBdA5Gs2UktZ34QMAYKfC8YMaOf6Qoj3H6s6tXf6q5s58TJXSig+VAcDuIpQCdonjOEp7ZkptdcEKoDOkQgElg1bdOM3OAQC3ygpENXjbj6r3wOsludtBlLIzmn3uEeVXzvhTHADsEkIpYJcsFMvKVezacdg0tS8a8rEiAHvNMIyG4fPUGqEUAODWGYahnuG7NXz0PbKCPa5zdjWv+XP/Q8sX/1yOY2/xCADQ2gilgF2S9izXGUuEZdLkHOh4jZbpzuZLKlTo9wEA2B3hxJhG7nhIkZ7b686tzv1fXX7+d1Upr/lQGQDcGkIpYJd4m5yPxaM+VQKgmRrNlHJU/54AAMCtsAIxDd32Y0rtf428y/mKmWnNPvfflV89609xALBDhFLALqmfKUU/KaAbHIxH1GhO5CRL+AAAu8wwDKVGvlf7jr5bViDhOmdXcpo/+/tavvQVlvMBaBuEUsAuKFVtzeaKrjGanAPdIWyZ+sGxQd0z7N66mx34AAB7JZKY0Mgd/0SR5OG6c6uzf6nLz39c1XLGh8oAYHsIpYBdcCFX1ObvowbCQcUb7MgFoDN930ifvme4zzWWzhRUsR2fKgIAdDorGNfQkXcqNfKqunPFzKQuPfeICmvnfagMAG4eoRSwC1i6B6A3FFAqGKgdVxxHF3PMlgIA7B3DMJXa/yrtu/0fywzEXefsSkaXn/+4Vmb/Uo7DlyQAWhOhFLAL0ll37xiW7gHdxzAMTSTdr/3JNUIpAMDeiyRv0/47HlI4MeE542jl0lc0f/b3VS1nfakNAK6HUAq4RY7jaNozU2qcmVJAV5pIuHfdnMrQ7BwA0BxWMKl9t79LPcPfV3eusHZOs6ceUSEz7UNlALA1QingFjmSfuBAv757IKnBSFBB09BINOx3WQB8cChZH0rZLJkAADSJYZjqPfADGjry4zIDMde5anlNl898TKtz/5flfABaRuDGNwFwPaZh6JX7evXKfevHxaoty2y0QTyATpYpVzSbK8oypOrV3/VzFVtXCmXti4b8LQ4A0FWiPbdr5PhDWpj8tIrZ9KYzjpYv/rkKmWkNTNwryxNcAUCzMVMK2GVhi5cV0I3SmYI+eX6uFkhdwxI+AIAfAqEe7Tt6v3r23VN3rrB6RrPPPaJidsaHygBgA1fPAADsgtEteslNrhFKAQD8YRimeg++TkO3/SOZlnuJebW8qrnTj2v18ldZzgfAN4RSAADsgmQwoN5Q/ar4qQw78AEA/BVNHdPIHQ8pFDvoOWNr+cKf6sr5/ym7wpcoAJqPUAoAgF0yFq+fLbVYLGu1VPGhGgAANgRCKQ0ffY+SQ6+sO5dfOaVLpz6iYvaCD5UB6GaEUsAtmMkUdHY1p2LV9rsUAC1gbIslfPSVAgC0AsO01Df6Bg0efocMy71bdLW0rLkzH9Xa/P/Hcj4ATcPue8At+Ou5JX17MSND0nA0pDeNDepoKu53WQB80mimlCRNrhX0ov5kk6sBAKCxWO8dCkWHdWXy0yrlLm6ccGwtzfxvFTJTGuj7Mf8KBNA1mCkF3IL01V4xjqTZfImd94AudyAelmnUjzNTCgDQagLhPg0ffY8SQyfrzuWXv6PvfO03ZVfoiwhgb3EFDezQWrmipU19YixD2h8LX+ceADpd0DS1P1r/PnApV2SZLwCg5RhmQP2jP6jBQ/fJMEOuc8XcvFZm/8KnygB0C0IpYIfSnh219sfCCpq8pIBu16ivlCNpmtlSAIAWFet7oUbueEjB6IhrPLf8HP2lAOwprqCBHfKGUmPxqE+VAGglW/WVmsqwBAIA0LqC4X4NH32PDGOj7XC1vKJyfs7HqgB0OkIpYIems+4LzPEtdt0C0F222oFvco2ZUgCA1mZaIUWSt7nG8qunfaoGQDcglAJ2oOo4mvGEUltdiALoLgPhoKINNj1IZwuq2iyBAAC0tmjqmOs4v0IoBWDvEEoBOzCXL6m86eIyEbDUFwpc5x4AuoVhGA1D6rLt6FKu6ENFAADcPG8oVcpdVKW85lM1ADodoRSwA2lPw+KxRESG0WAfeABdafRqXynL87YwSbNzAECLs4IJhWIHXGOFlTM+VQOg0xFKATvgbXJOPykAm718KKUPvGhCPzg66BqnrxQAoB1EU8ddx7mVUz5VAqDTEUoBO+Btcr7VblsAulMqFNBgJKRDSfeunFOZAltrAwBanncJX3HtvGy77FM1ADoZoRSwTblKVVcKGx/KhqSDhFIAGhiJhRUyN9bwZStVLRT5pR4A0NqCkX0KRfpqx45TUWHtnI8VAehUhFLANnmX7o1EQwo32GkLACzD0HjCPVuKJXwAgFZnGIZS+17oGmMXPgB7gStpYJvS3qV7ngtOANhswtNzbsoTbAMA0Ip6h+pDKZagA9ht7GEPbNP3j/TpSE9M6UxB6Wxet/cQSgHYmrevFDOlAADtINF3mwwzLMcuSpLsSlal3AWF46M+VwagkxBKAdsUskwdTkZ1OBmV1HfD2wPoXn9+YUFnV3OusYViWWvlipJBPoIBAK3LNAOK9hxRbvnZ2lh+5TShFIBdxfI9AAD2yJmVnCYbLNebWmMJHwCg9UVTx13H9JUCsNsIpQAA2CNjicY7c05lWMIHAGh9kZ7btb7X9Lpy4bIqxSX/CgLQcQilAADYI2NxQikAQPuyAlGFE+OuMWZLAdhNhFIAAOyRrWZKXcwWVaraTa4GAIDti6aOuY5zhFIAdhGhFHCTilVbnzh7Sf93dknpTEEVmwtKANfXGwooHrDqxm1J6Sx9pQAArS/a4w6lipkp2VU+wwDsDkIp4CbNZAv69mJGT6Sv6MPfSeu/PZv2uyQALc4wDI1vMVtqco0lfACA1heMDCgQHtw0Yiu/eta3egB0FkIp4CalPTtoHYiHfaoEQDvZuq8U3zIDANqDdwlffuWUT5UA6DSEUsBNmvYstRmLR32qBEA7Gd1iptR0Jq+q4zS5GgAAtq8ulFp9Xo5T9akaAJ2EUAq4CY7j1M2U2mpJDgBsNhoPb9pMe0PJdjSbKza9HgAAtiscH5VpbXwh61QLKmZoZQHg1hFKATdhqVhRtrLxbVDINLQvGvKxIgDtImJZGtri/YIlfACAdmAYJkv4AOwJQingJkxn3Q2JR+MRWUajuQ8AUG+rvlI0OwcAtIv6UOq0HJahA7hFhFLATfAu3Rtj6R6Abdhque9UJs8v9ACAthBJ3iYZVu24UlpSpXjFx4oAdAJCKeAmTHv7SW0x6wEAGhnd4j1jrVzVYrHc5GoAANg+0workjjkGsuvnPanGAAdg1AKuIGybetS3t2MeKvdtACgkeFoSImApUPJqFKhgOscfaUAAO2i0RI+ALgVhFLADVzMFmVvWl3TFw4oGQxsfQcA8DANQz/3ksN66I5RvXSwx3WOvlIAgHbhDaWK2bSq5axP1QDoBIRSwA1MZz39pFi6B2AHzKubI0x4ZlpOZQilAADtIRBKKRgdcY3lV5/3qRoAnYBQCrgBb5Pz8UTUp0oAdILxRFSb9+6cL5SVKVd8qwcAgO2oX8J3yqdKAHQCQingBupCKWZKAbgFYcvU/ljYNebdTAEAgFYV84RShbWzcmy+XAGwM4RSwHUUqlUFrY05DQHD0IjnYhIAtmvCM+OSJXwAgHYRjO6XFUzWjh27rEJm0r+CALQ1ujUD1xGxLH3gRYeUq1Q1ky1opVRRwDRufEcA2ILjOBqMuD9+J9eYKQUAaA+GYSjac0yZhb+tjeVXTivac7uPVQFoV4RSwE2IBSwdS8X9LgNAm3t6MaPPTV1WtlJ1jV/MFVSq2gpZTGAGALS+aKo+lHJG3yTD4MtbANvDb78AADRJPGjVBVKSVHWkmSyzpQAA7SGSPCzDDNaOq+VVlfOzPlYEoF0RSgEA0CQHY+EtP3inaHYOAGgThhlQJHmbayy/ctqnagC0M0IpAACaJGSZW26WQLNzAEA7iaaOu45zhFIAdoBQCtiC7Th+lwCgA43GIw3HpzIF3ncAAG0j2nPUdVzOX1KltOpTNQDaFaEUsIVPn5/Tbzw9pf91fk5fn19RplzxuyQAHWA80TiUKlZtzeVLTa4GAICdsYJxheKjrrH8KrOlAGwPoRSwhalMQXP5kr5+ZVX/a/KyrhTKfpcEoANsNVNKkibXWMIHAGgf0Z5jrmP6SgHYLkIpoIFMuaLF4kYIZRrSgS36wADAdgxGgopYjT9+6SsFAGgn0ZQ7lCqsnZddZdYvgJtHKAU0kPZszb4/GlZoi4tIANgO0zA0tsVsqcm1ghz6SgEA2kQwMqRAqG9jwKmqsHbOv4IAtJ2WucpOp9N6//vfr5MnT+rkyZN6+OGHtbi4eMP7Pf3003rggQf0kpe8RHfddZf+6T/9pzp3jjdC3Jq0Z2v2sS16wADAToxu8Z6yWq5ouUT/OgBAezAMo262VH7llE/VAGhHAb8LkKSlpSXdf//9KpVKevDBB1WtVvXYY4/p1KlT+uQnP6lQKNTwfufOndO73vUuRaNR/eRP/qQk6aMf/ah+/Md/XJ/73Oc0PDzczL8GOsi0N5S6Tg8YANiu672nTK7l1RcONrEaAAB2Lpo6prX5r9WO86tn5Di2DKNl5j8AaGEtEUo9/vjjmp2d1ec//3kdOXJEkvTiF79YDzzwgD772c/qHe94R8P7fexjH1Mul9Pv//7v64UvfKEk6ZWvfKXe/va36/HHH9fP/uzPNu3vgM5hO45mPMv3ttotCwB24nqh1FQmr+8e7GliNQAA7Fw4MS7DCsupFiVJdiWnUvaCwokxnysD0A5aIr5+4okndPLkyVogJUn33HOPDh8+rCeeeGLL+83MzKivr68WSEnSd33Xd6m3t1enT7PzA3bmcr6kkr3R0yUWsNTPrAUAuyge3Pp9ZdIzUxMAgFZmGJaiPUddYyzhA3CzfA+lVlZWlE6ndeLEibpzJ06c0NNPP73lfScmJrSysuLqPbW8vKy1tTXt27dvT+pF5/Mu3RuPR2QYhk/VAOhUW82WupwvKVepNrkaAAB2Ltrj6Su1esanSgC0G99Dqbm5OUlq2P9paGhImUxGa2trDe/74IMPamRkRB/4wAf03HPP6dSpU/rpn/5pBYNBvetd79rTutG5vDvv0eQcwF54YV9cr9yX0tsPD2vIM2tqOpP3qSoAALYv2nNEmy8ty4V5lYs33rQKAHzvKZXNZiVJ0Wi07lw4HJYk5XI5JZPJuvMHDhzQP/kn/0T/5t/8G917772SJMuy9KEPfci1pA/Yjrom54RSAPbAi/qTelH/+mdbOlvQ/OWV2rnJtYLu6E34VRoAANtiBqIKJ8ZVzEzWxvIrpxXc90r/igLQFnwPpWzbvuFtTLPxhK7/8l/+iz784Q/r5MmTesc73qFqtapPfOIT+lf/6l/pQx/6kF7zmtdsq5aBAS4Aul2uXNF8oVQ7NiS9ZHxQ0aDV1DqGhupDWADN1czX4YvKZf3NplDqYrHE+wC6Hq8BwH/beR3aue/SzKnJ2nE1d1ZDQ6/fg6qA7tENn4W+h1LxeFySVCwW685dG7t2m81WV1f12GOP6c4779Tjjz8uy1oPDX7oh35I9913n37xF39R3/u936tQKHTTtSwsZGRvanCN7nNmJes63hcNKbOcU6aJNQwNJTU/33jJKoDmaPbrsN/z0XN+OaeLcysKbvGlDNDp+CwE/Lfd12HVGncdry2d09ylyzID9StiANxYp3wWmqZx3QlAvv+2e+DAAUnS/Px83bnLly+rp6dHsVis7tzk5KRKpZLe8pa31AIpSQoGg/rhH/5hXblyRefOndu7wtGR6pbuXWfbdgDYLalQUL2hje+Jqo6jC9n6L2sAAGhVwXC/gpGhTSOO8qtnfasHQHvwPZTq6enR6Oionnnmmbpzzz77rO68886G97s2A6pard+h6NqSwJtZGghsNhwN60RfQj1Xl+uN008KQJMcSri/SZ6i2TkAoM1EU55d+FZO+VQJgHbheyglSW94wxv01a9+VWfPbiTpTz75pM6fP683v/nNDe9z9OhR7du3T5/5zGdcS/+KxaI++9nPqq+vT0ePHt3z2tFZ7uxP6J2379fPveQ2/eyLD+lEH33GAOyttXJFzy5llK1UXOOTa4RSAID2UhdKrT0vx6mfRAAA1/jeU0qS3ve+9+lzn/uc3vOe9+i9732visWiHn30UZ04caK2q146ndY3vvEN3XXXXRobG5NlWfqlX/ol/dRP/ZTuu+8+3XfffbJtW5/+9Kd17tw5/fqv/7qCweAN/s3A1lIhfn4A7C3HcfShp6eVrdT/wj6VKch2HJmG4UNlAABsXyh2UGYgJruSkyQ51aKKmWlFkod9rgxAq2qJmVL9/f36+Mc/rjvuuEMf+tCH9LGPfUyve93r9Oijj9aW6T311FN6+OGH9dRTT9Xu9/rXv16/8zu/o97eXv3n//yf9Ru/8Rvq6enRI488ore+9a1+/XUAALgphmFs2buuULV1OV9qeA4AgFZkGKaiPd4lfKd9qgZAOzAcx2G7uavYfQ+toFN2WQDaWTNfh1++uKg/u7DQ8Ny9E0N6xb7eptQBtBI+CwH/7fR1mFt+TlfO/8/asRXq1YEX/gsZzPwFtqVTPgtbfvc9AAC62Vg8vOW5qbXClucAAGhFkeRtkrGxO3q1tKxyoX6ndQCQCKUASVLZtpXOFFRhx0YATTa6xfI9SZpkBz4AQJsxrVBdDymW8AHYSks0Ogf8ls4U9OipC7IMQwdiYb2wL65X7e/3uywAXSAasDQUCWm+UN8/arlU0XKxrN4wGy8AANpHNHVchdXna8f5lVNKjXyvjxUBaFXMlAIkpbPrS2SqjqN0tkBzYQBNNZa4zhK+DEv4AADtJdpz1HVcyl1QtZzxqRoArYxQCpA07bnoG0tsvZwGAHbbVjvwSdIUS/gAAG0mEOpRKLrfNZZfPeNTNQBaGaEUup7jOEp7Qqnx61wgAsBuu14oNblGKAUAaD/R1DHXMX2lADRCKIWut1yqKFOp1o6DpqHh2NZLaQBgtw3HwgqajbfKnsuXlN/0HgUAQDvwhlKFtXOy7bJP1QBoVYRS6HrepXsH4xFZRuOLQwDYC5Zh6OAWYbij+vcpAABaXTA6IivYUzt27LKKa+d9rAhAKyKUQte71uT8GpbuAfDD9XrZ0VcKANBuDMNgCR+AGyKUQtfz9pOiyTkAP4xer68UM6UAAG2oLpRaPSPHcXyqBkArIpRCV6vYti7miq6x6zUcBoC9Mr4pEA96lhDPZAqq2HazSwIA4JZEEodkmKHacbW8plL+ko8VAWg1hFLoahdzRVU3fVvTGwqoJxTwsSIA3SoVCuofHtqn958Y1y/edZtSwY33oorj1AXoAAC0OsMMKJK8zTWWXznlUzUAWhGhFLqat3kwS/cA+OmlQykdiIUVME1NJN3vR5NrLOEDALSfaOq46zi/csanSgC0IkIpdDVvPymanANoFROJqOuYZucAgHYU7bld0say9HJ+VpXSin8FAWgphFLoat6d95gpBaBVHErWh1I2zWEBAG3GCsYVjo+6xtiFD8A1hFLoWqulipZLldqxZRg6EAv7WBEAbBiOhhS2Nj6mcxVbVwplHysCAGBn6nbhI5QCcBWhFLpWNGDqPccO6LUH+nUsFdORnqgCJi8JAK3BNAyNx91BOUv4AADtyNtXqpA5L7vKBh4AJLYZQ9cKmqaOpeI6lor7XQoA1Mzli3pmKauZTEGTnr53k2t5vXwo5VNlAADsTCA8oEC4X5Xi4vqAY6uwelaxvhf6WxgA3zEtBACAFpLOFPRnFxb03EpWZdvdQ2oqww58AID2YxiGoj2eJXyrLOEDQCgFAEBLud6GC4vFslY39cIDAKBd1PeVOiPHsX2qBkCrIJQCAKCFDEVCCl+nvx19pQAA7SicGJdpbXzxYlfzKmZnfKwIQCsglAIAoIWYhqHRxNY7gU6usYQPANB+DMNUpOeoayy/csqnagC0CkIpdKWvz6/oqfkVzeaKsh3nxncAgCYai2+9hI+ZUgCAdlW/hI++UkC3Y/c9dKW/uLSkhWJZkhQ2TT30glHtj209MwEAmul6odSlXFHFqq2wxfdKAID2Eu05ovV5Eeu9pCrFBZULCwpGBnytC4B/+I0WXSdXqdYCKUkq27YGwkEfKwIAt9HrNDt3JE0zWwoA0IZMK6JIcsI1xmwpoLsRSqHrpD1bqo/Ewgox4wBAC0kGA+oLbT2ZeTJDXykAQHuKpo67jvOr9JUCuhlX4ug601n3xdz1lskAgF+uN1tqao2ZUgCA9hTtcfeVKmbSqlZyPlUDwG+EUug6ac+yl7HrXPgBgF/GrxOYp7MFVW02aQAAtJ9AuFfByL5NI44Kq8/7Vg8AfxFKoavYjqN0pugaGyeUAtCCvIG5semfy7ajizn3exkAAO2CXfgAXEMoha4yXyipaNu146hl0uQcQEvaHwvL2pREeedFTdHsHADQpupCqdXn5dhVn6oB4CdCKXQVb5PzsUREhmFscWsA8E/QNLU/Ft7y/CR9pQAAbSoUOygzEK8dO3ZJhcykfwUB8A2hFLrKtCeUYukegFY2Go/INKSDsbDu7Eu4zk1lCnIc+koBANqPYRgs4QMgSdp6v2mgA6XZeQ9AG3ndwQG9aWxQQdNU1XF0+htnVbra4DxbqWqhWNZgJORzlQAAbF80dUzZhb+rHedXT8txfpBVDECXYaYUukahUtXlfKl2bIhQCkBriwUsBc31j2rLMDSeiLrOs4QPANCuIsnbZBgbcySqpRWVC5d9rAiAHwil0DVmskVXo+ChSEiRgOVbPQCwXROeJcdTniXJAAC0C9MMKpw87BrLr5zyqRoAfiGUQteY9i7do58UgDZzKMlMKQBA54iljruO6SsFdB9CKXSNhULJdUyTcwDtZiwecX1wLxTLWitXfKsHAIBbEU0ddR2XchdVLa/5VA0AP9DoHF3j7beN6A2jA0pnCkpnCzrsmXEAAK2uaNvqjwR1pVCujU2tFXRnf+I69wIAoDVZwaRCsQMq5S7WxvIrZ5QYvMvHqgA0E6EUukoqFFSqP6g7+5N+lwIAN8V2HP3huVmlMwUtl+pnRU1l8oRSAIC2FU0d84RSpwmlgC7C8j0AAFqYaRi6lCs2DKSk9VAKAIB2FfX0lSqsnZNtl7e4NYBOQygFAECLG4tv3QPvYraoUtVuYjUAAOyeYGSfrGCqduw4FRXWzvlYEYBmIpQCAKDFeXcLDZlG7Z9tSWnP7qIAALQLwzAUTR1zjbELH9A9CKUAAGhx3plSjuf85BpL+AAA7atRKOU43k87AJ2IRufoeFNreX0hfUVjiYjG4hFNJCLqDQf9LgsAbtpINKyAYahy9Rf0su3+RZ2+UgCAdhZJHJJhhuTYJUmSXcmqlLugcHzU58oA7DVmSqHjTWUKSmcLenJuWX94blZ/MrPgd0kAsC2WaehgPLzl+elMQVW+UQYAtCnDtBTtud01xhI+oDsQSqHjpbPuGQTe3iwA0A68S/iCxkZfqZLtaDZXbHZJAADsGvpKAd2JUAodzXEcTWfcDYDHCaUAtKFRz3tX0DJcx/SVAgC0s0jP7ZI2PtvKhcuqFJd9qwdAcxBKoaOtlCpaK1drxwHD0Eh06yUwANCqxj0zpQpV23U8lWEHPgBA+7ICMYUTY66x/CqzpYBORyiFjjbt2Sb9YDwsyzS2uDUAtK5UKKBk0Kode3qdayqTZ6ciAEBbi/Ycdx3nV075VAmAZiGUQkdLs3QPQIcwDEOjntlSmzP2tXJVi8Vyk6sCAGD3ePtKFTJTsqvMBAY6GaEUOpo3lPI2CgaAduIN1mOW5TpmCR8AoJ0FIwMKhAc2Bhxb+dWz/hUEYM8RSqFjVWxbFz27UY0loj5VAwC3zjtTypZ7uR7NzgEA7Y5d+IDuEvC7AGCvXMqVVNnUXyUVCigV4kceQPsajUe0LxLSaCKssXhEjiP90fR87fxUhlAKANDeoqljWrv81dpxYfWMHMeWYTCfAuhEXKGjY6WzLN0D0FnClql/9aKJ2nGxauvz0/O1+VLzhbIy5YoSQT7eAQDtKRwfk2lFZVfXv2ixqwUVM9OKJA/5WxiAPUHcjI417ZkxQJNzAJ0mbJnaHwu7xqbpKwUAaGOGYSqaOuoaYwkf0LkIpdCxmCkFoBtMeHrlsYQPANDuoj2evlKrp+U4zha3BtDOCKXQkdbKFS0VK7Vjy5AOxMPXuQcAtKdDSXfgPrnGTCkAQHuL9ByRjI0dZivFRVWKCz5WBGCvEEqhIxWrto6lYopa6z/i+2NhBU1+3AF0Hu9MqYu5gkpV26dqAAC4daYVViQx4RrLr5zyqRoAe4lOqOhIg5GQ3nPsoBzH0UKxrHyFCzQAnaVQqWomW9R0tqBk0NJauSpJqjrSTLag23piPlcIAMDORVPHVVg7VzvOr5xWz/D3+FgRgL1AKIWOZhiGBiMhv8sAgF31V7NL+t/pK7Vd94YiwVooJUlTGUIpAEB7i6aOaWnmi7XjYnZG1XJWVjDuY1UAdhvrmQAAaDMD4aA2t3ut2O7mrzQ7BwC0u0AopWB0eNOIo/zq877VA2BvEEoBANBmxhLu5uar5YrreCpTkM0uRQCANhdN1e/CB6CzEEoBANBmksGAekMbK/CrjhS2jNpxsWprNl/yozQAAHZNNHXcdVxYfV6OXdni1gDaEaEUOs5KqcIMAQAdbzTuni3VGwq6jqfWWMIHAGhvoeh+WYFE7dixyypkJv0rCMCuI5RCx3ns1Ix+5Rtn9ehzM/qTmSvKVao3vhMAtBnvEj5Thut4kr5SAIA2ZxhG/RK+FZbwAZ2EUAodJVep6kqhrJLt6NxaXn9xaUmWYdz4jgDQZsY9M6WyFU9fqbW8HGaNAgDaXKNQis83oHMQSqGjzGQLruORaEhhix9zAJ3nQDwsc1PmvlquypL7eLlE3w0AQHsLJw/LMDb1USyvqpyf9bEiALuJq3V0lOmMO5TyLm8BgE4RNE2NRMOuscFoyHU8SV8pAECbM82gIj1HXGMs4QM6B6EUOkq6LpSK+lQJAOy9Mc8SvohnZugUfaUAAB2AvlJA5yKUQsewHUdpz/I97wUbAHQS72zQsu3usTHpCeoBAGhH0Z6jruNS/pIqpVWfqgGwmwil0DGuFMoqVO3accQyNRgJXuceANDevMH7QrHsOr6cL7EDKQCg7VnBhEKxg66x/OoZn6oBsJsIpdAx0p5lKmPxiEx23gPQwQYiQdeSvWLV1lDYHcZPs4QPANABoqnjruP8yimfKgGwmwil0DGmvUv3aHIOoMOZhuGaLWUaUp9nhujkGkv4AADtz9tXqrB2Xna15FM1AHZL4MY3AdqDt8n5OKEUgC7wsqEeHU3FNBaP6EA8rGeXsjq9kqudp9k5AKATBCNDskK9qpaW1wecqgpr5xTrvcPXugDcGmZKoSMUq7bm8u5vSmhyDqAbvKg/qe8d6dNEMqqgaepQ0v3eN5MtqmzbW9wbAID2YBiGYnVL+NiFD2h3hFLoCDPZgjbvOTUUCSoasHyrBwD8kgoF1RvamAhddRxdyBZ9rAgAgN0RTbl34cuvnpbj8MUL0M4IpdARvEv36CcFoJsdSkZdxyzhAwB0gnBiQoYVrh3blZxKuQs+VgTgVhFKoSPUNTmPR7e4JQB0vomE+z1wco1QCgDQ/gzDUjR5u2uMJXxAeyOUQkd45b6Uvm+kT4cSEQVNgybnALqat6/UVKYg23G2uDUAAO3DuwsfoRTQ3th9Dx3hWCquY6m4JKlqOzIMnwsCgCayHUfpTEHp7Pr/VooVRS1T+ep6n41C1dblfEkjsfANHgkAgNYW7bldkiFd7ShbLsyrXFxUMNzva10AdoaZUug4lmnIJJUC0EVsR3rs1AV9IX1Ff7+Y0XS2oAOeAGqSvlIAgA5gBqIKJ8ZdY8yWAtoXoRQAAG0uYBra7wmhkiH3DqRTa+7eewAAtKto6rjrmFAKaF+EUgAAdADvrqPeFlLswAcA6BTevlLFzJTsCp9zQDsilAIAoAOMxd2h1EqposCmpczLpYqWi+VmlwUAwK4LhvsViAxuGnGUXz3rWz0Ado5QCm1toVDStxbWtFgsy2FnKQBdzDtT6mKuqAOxkGtsKsMSPgBAZ4j1eHbhW2UJH9CO2H0Pbe3Z5ay+mL4iSYoHLH3//j5930ifz1UBQPP1hQKKByxlK1VJUsl2NBQJaTpbrN1mMpPXiweSfpUIAMCuiaaOa/Xyk7Xj/OoZOU5VhmFd514AWg0zpdDW0pu+9c9WqrLYdQ9AlzIMo262VNByf8xPrdFvAwDQGULxgzIDsdqxUy2qmJn2sSIAO0EohbaW9ixF8fZUAYBu4n0PLFRs1/FcvqT81ZlUAAC0M8MwFe056hpjFz6g/RBKoW2tlMpaKVdqxwGjfkt0AOgm3lDqYr6o4ehGXylH0jR9pQAAHSKaOu46zq2cos8s0GYIpdC2vLOkDsTCCpgs3wPQvUbjYW1+F5zPlzQacwdVUxmW8AEAOkMkeZu0qYdUtbSscmHex4oAbBehFNpWOusOpcYTLN0D0N0iAUtDEffMqETI/VE/yUwpAECHMK2QIsnDrjGW8AHthVAKbcu7BMXb4BcAupH3vdD2rGKYyRRUsd29pgAAaFfR1DHXcX6VUApoJ4RSaEsV29GFTducSzQ5BwBJGvW8F87nS0oFA7XjiuPoYq7ovRsAAG0p2uMOpUrZGVXLWZ+qAbBdhFJoS7P5oiqbmhj2BC2lQoHr3AMAusPmpcxDkaAGIyFNJN1B1eQaS/gAAJ0hEOpRMLrfNZZfPeNTNQC2i6t4tCVvk/OxRESGQZNzANgXDemBYwc0Go8oGlhv/vo3l5f17cVM7Tbrzc77fKoQAIDdFUsd00r+Uu04v3JKiYGX+FcQgJvGTCm0pbpQKh71qRIAaC2WYehoKl4LpCRpIuF+j5zK5GWzZTYAoEN4+0oV1s7JsSs+VQNgOwil0Jam2XkPAG7acDSkiLXxkZ+r2LpSKPtYEQAAuycYHZEVTNaOHbuswtp5HysCcLMIpdB2MuWKFosbF1OmIR2IhX2sCABam2kYdeH9+hI+AADan2EYiqaOu8byK+zCB7QDQim0nRnPrnv7o2GFLH6UAeB6DnmW8E2uEUoBADpHtOeo6zi/eloOS9WBlkejc7Sd46mYPvCiCaUzBU1nCuoLB/0uCQBaWqFS1X7PjNJJZkoBADpIJHlYhhmUY6+vqKiW11TOX1IodsDnygBcD6EU2o5hGBqMhDQYCem7B3v8LgcAWtKZlay+vZhROlPQfKGkN40NyjKk6tUvjZeKFa2UKkqF+FUAAND+DDOgSPKI8ivP1cZyK6cJpYAWx5onAAA60KVcSX97ZVWXCyU5ki7mijoYo68UAKBzeXfho68U0PoIpQAA6EBjnsbm6UxBE0l3X6kp+koBADqIt69UOT+rSmnFp2oA3AxCKQAAOtDBWNj1Ib9QLGt/NOS6zVSm0NyiAADYQ1YwrlB81DXGbCmgtRFKAQDQgUKWqWFPc3PDMFzHl3JFFarVZpYFAMCeiqWOu44JpYDWRiiFtvKp87P60swVfWc5o0y54nc5ANDSxuLuUGq+UNJQZGO2lKP1ZX0AAHQKb1+pQmZSdrXoUzUAboRQCm0jX6nqG1fW9BeXlvR7Zy7pV795XsWq7XdZANCyxhLuHlLpTEGHku5eU5OEUgCADhIIDyoQ6tsYcKoqrJ3zryAA10UohbYxk3VfOO2LhhS2+BEGgK2Mxd0B1Ey2oHHPGM3OAQCdxDAMduED2ghX9Ggb055v870XWwAAt8FIUJFN4X2+aisVCrpuk84WVLWdZpcGAMCeiTboK+U4rLAAWhGhFNpG2jNTajxBKAUA12MahkY9faVWS2Ulg1btuGw7upij1wYAoHOEE2MyrI1rBbuaVzE742NFALZCKIW24DhOXTPeMUIpALihsbinr1SuqAlPr6mpDEv4AACdwzAsRXtud42xhA9oTYRSaAsLxbLym5qahy3TtYMUAKCxsYR7ptR6s3N3KDVJXykAQIdptIQPQOshlEJbaNRPyjQMn6oBgPYx6um/N5sv6mDMHepPZQpyHPpKAQA6R7TniDZf7laKV1QuLPhXEICGCKXQFupCKZbuAcBNSQQD6g9vNDe3HanqSGFz41eAbKWqhWLZj/IAANgTphVRODHhGsuvMlsKaDWEUmgLdU3O2XkPAG7aaDys3lBAd/Yl9OaxQQ1EgnWbRbCEDwDQaWKpY65jlvABrSfgdwHAjZSqtmY9O0MxUwoAbt59h4cVMN3fQ00kIzqzmqsdT2UKetlQqtmlAQCwZ6KpY1q68KXacTEzrWolLysQvc69ADQTM6XQ8mayBW3udDIQDioWsLa8PQDAzRtISarbgY+ZUgCAThMI9ykY2bdpxFFh9Xnf6gFQj1AKLa9u6R6zpADglq1vGLFxvFAsa61c8a8gAAD2QLRuCd8pnyoB0AihFFpemibnALDrQpapA7Gwa2yK2VIAgA5TF0qtPi/HrvpUDQAvQim0PNMwFNz0df4YTc4BYFcc8izhm/J8CQAAQLsLxQ7KDMRrx45dUjEz5WNFADaj0Tla3o/fvl9V29FcvqjpbEEj0fCN7wQAaKhs27qUK2qlVNFEMqq/nluunaOvFACg0xiGoWjPUWUXv1kby62eVqTnNv+KAlBDKIW2YJmGDsQjOsAsKQDYkXylqt85dUGz+aKqjhQyDX3gRROu21zKFVWs2gpbTKQGAHSOaOq4K5TKr5yWc/CNMgxj6zsBaIqW+a0znU7r/e9/v06ePKmTJ0/q4Ycf1uLi4g3vt7i4qF/4hV/QPffco7vuukvvete79M1vfnPvCwYAoI1ELFNLpYqqV7czLdmOchVbg5Fg7Ta26jeXAACg3UWSh2UYG/MxqqVllQuXfawIwDUtEUotLS3p/vvv1ze/+U09+OCDeuCBB/TlL39ZDzzwgEql0pb3y2Qyeuc736kvfvGL+rEf+zH9y3/5LzU3N6f7779fp0+fbuLfAACA1mYYhsbi7uXP6WxBE96+UizhAwB0GNMKKZw87BrLr3C9CLSClli+9/jjj2t2dlaf//zndeTIEUnSi1/8Yj3wwAP67Gc/q3e84x0N7/eRj3xE58+f1+/93u/p5S9/uSTpzW9+s173utfp0Ucf1a//+q837e8AAECrG0tEdGolVztOZwo6lIjob6+s1samMoRSAIDOE0sdU2H1TO04v3JaqZHv87EiAFKLzJR64okndPLkyVogJUn33HOPDh8+rCeeeKLhfRzH0Wc+8xm9+tWvrgVSkjQ0NKSHH35YL3vZy/a8buytqu3IcRy/ywCAjuHdvXQmW9BE0j1TajpTUJX3XgBAh4mkjrmOS7kLqpYzPlUD4BrfQ6mVlRWl02mdOHGi7tyJEyf09NNPN7zfzMyM5ubmdM8990haD6my2awk6Z3vfOeWs6vQPv7m8rL+/TfP63fPXNRXLi5qNlf0uyQAaGujnlBqLl9SImApHrBqYyXb4f0WANBxAsGkQrEDrjGW8AH+8z2UmpubkyQNDw/XnRsaGlImk9Ha2lrduampKUnSwMCAfu3Xfk0ve9nLdNddd+n1r3+9vvzlL+9t0WiK6WxB2UpVzy1n9ScXFnR2NXfjOwEAthQNWBra1NjckXQhV9ShpDusmqSvFACgA0U9s6Xyq4RSgN98D6WuzW6KRqN158Lh9YasuVx9GLG6ut7/4jd+4zf0F3/xF/rX//pf69d+7dcUiUT0z//5P9eTTz65h1WjGdIZ9w5QY4nIFrcEANyshkv4vM3OM+zABwDoPNEedyhVWD0n2y77VA0AqQUandu2fcPbmGZ9dnZtV77V1VV96UtfUiqVkiS95jWv0etf/3r9p//0n2pL+27WwEBiW7fH3lkulLVcqtSOA6ah7xofVNDyPUdtiqGhpN8lAF2vU1+HL8gV9I2FjRnIc+WK3nxkRF9IX6mNpXMFDQ4mZBiGHyUCkjr3NQi0k057HTpOQgtTvSoXlq8eVxQ2ZtU79EJ/CwO20GmvwUZ8D6Xi8bgkqVis719xbezabTaLxWKSpDe84Q21QEqSenp69JrXvEaf+cxnlM1mG953KwsLGdk2zV1bwbNL7qaD+6NhLS9mfaqmuYaGkpqfr1+yCqB5Ovl12Ov5mDu7mFHkYEVB01D56mfgSrGiUzOLGoiEfKgQ6OzXINAuOvV1GE4cVbnwVO14Nv0tlY0xHysCGuuU16BpGtedAOT7tJMDB9abzc3Pz9edu3z5snp6emoB1GbXelD19/fXnevv75fjOA2X/aE9TLN0DwD2xEg0rMCmGVBr5aoylWrdsj6W8AEAOlFdX6mV0+z4DfjI91Cqp6dHo6OjeuaZZ+rOPfvss7rzzjsb3u/o0aMKhUJ6/vnn687NzMwoHA43DKzQHqaznlAqTigFALvBMg0djIddY+lsQYeS7r5SNDsHAHSiSGJChrkxE9iuZFTKXfSxIqC7+R5KSetL8L761a/q7NmztbEnn3xS58+f15vf/OaG94nFYnrNa16jr3zlKzpz5kxtPJ1O68tf/rJe+9rXyrKshvdFa6s6ji54QqlxZkoBwK7xBv3pTEGH6pqdE0oBADqPYQYU6TniGsuvsAsf4JeWCKXe9773KZVK6T3veY8++tGP6rd/+7f1Uz/1Uzpx4oTuvfdeSeth0+c+9zml0+na/X7mZ35GyWRS7373u/XhD39Yjz76qN75zncqEonoAx/4gF9/HdyiuVyx1tdEkpJBS70h39ufAUDH8C6JTmcLGktEXL8UzBfKypQrAgCg08RSx13HhFKAf1oilOrv79fHP/5x3XHHHfrQhz6kj33sY3rd616nRx99VKHQ+tTKp556Sg8//LCeemqjKd3o6Kj+5//8n3r5y1+uxx57TB/+8If1ghe8QJ/4xCc0NkazunbVaOkeO0ABwO4ZT0R0PBXT6w7264FjB/TuowcUtkztj7mX9Xn7+wEA0AkiPbdL2ri+KBfmVCkt+1YP0M0Mh65uNey+1xo+eW5Wf7dpu/I3jg7oVfu7pz9Yp+yyALSzbn0d/vH0vJ6cW64df99Ir940NuRfQeha3foaBFpJp78O504/rmJ2unbcN/qDSg6d9LEiwK1TXoMtv/se4FW38x5NzgGgKSY8y/om15gpBQDoTI124QPQfIRSaCm5SlULxXLt2JQ0SigFAE0x4Wl2fiFXUKlq+1QNAAB7xxtKFTKTsqtFn6oBuhehFFpK2jNLaiQWVsjixxQAmqEnFFB/OFg7th1pJstsKQBA5wlGBhUID2wMOLYKq2e3vgOAPcHVPlpKMhTQK/eldDAWlimW7gFAsx3yLuGj2TkAoEN5Z0vlVk75VAnQvQJ+FwBsdiAW1lsn9kmSSlVbJZtlIwCwV6qOo8v5ktKZgtLZgl422KOJZFTf2LTZxNRa3scKAQDYO9HUMa1d/mrtuLB6Ro5jyzCYuwE0C6EUWlbIMlm6BwB76PNT8/r/5ldqx72hgF7Un3TdZjpTkO04Mg3De3cAANpaOD4m04rKrq5/AWNXCypm04okJnyuDOgeXPEDANClRuNh1/FMtqChSFCxwMavB0Xb1my+1OzSAADYc4ZhKtJzu2sszxI+oKkIpQAA6FLe3U3TV5uae3fhYwkfAKBTxVLHXcf5ldM+VQJ0J0IpAAC61L5oSCFzY1lermJrsVjWIU8oNZkhlAIAdKZIzxFpUw+pSnFR5cIVHysCuguhFFrG8ys5rZUrfpcBAF3DNIyGs6Umku6xqbW8HMdpZmkAADSFaYUVSRxyjTFbCmgeGp2jJRSqVX309AU5kvrCAY3Ho3r7bcM01gWAPTaWiOjcpuV56UxBd/YlFTAMVa4GUavlqpZLFfWFg36VCQDAnommjqmwdq52nF85rZ7he3ysCOgezJRCS5jJFnXtO/ilYkWXckUCKQBogrEGM6UCpqGxhHt8kr5SAIAOFU0dcx0Xs2lVKzmfqgG6C6EUWkI6U3Adey+GAAB7w/t+eylXVNm2NeEZn6KvFACgQwVCvQpGhjeNOMqvnPGtHqCbEEqhJXhDqXFCKQBoimQwoN7Qxmr+qrMeTB1KepudF7x3BQCgY3hnS+VX6SsFNAOhFHznOI6ms56ZUnFCKQBolrolfJmCxhMRbV5EfTlfUq5SbW5hAAA0iTeUKqyelWOzCROw1wil4LvFYtl1oRMyDe2LhnysCAC6i3cJXzpbUMSyNBILu8anWcIHAOhQodgBmYFE7dixSypkJv0rCOgShFLw3bRnSchoPEKTcwBookbNziXV9ZWaXGMJHwCgMxmGUb+Ej75SwJ4jlILv0ln6SQGAnw7EwzI3fRewVKwoU67oUMLdV4pm5wCATharC6VOyXGcLW4NYDcQSsF3NDkHAH8FTVP7oxtL9XpDAa2UKppIut+PZ7LrO/MBANCJwsnDMoxNm3+UV1XOz/lYEdD5Aje+CbB3SlVbl/JF19goTc4BoOl+4EC/pPX34J5Nu/H1hQJaKq03eq06jmayRR327MwHAEAnMM2gIj23Kb+ysfNefvW0QrERH6sCOhszpeCri7mi7E0zYvvDQSWCZKUA0Gwv7EvohX0JVyAlSROeAGpqjSV8AIDOFU0ddx1vDqgA7D5CKfiqbukes6QAoKVM0FcKANBFoj1HXcel3EVVyms+VQN0PkIp+Gra0+Tcuy05AMBfhzx9paYyBdk0fQUAdCgrmFAodtA1VmC2FLBnCKXgK+9MKUIpAGgtQ5GQotbGrwuFqq3L+ZKPFQEAsLeinl34coRSwJ4hlIJvHMfR/ccO6N6JId01kNRINKSRTbs/AQD8ZTuOTMOoW8I3yRI+AEAH84ZShbVzsqt8IQPsBTpKwzeGYWh/LKz9sbBesc/vagAAxaqt7yxnNJ0paObq8uqffOG4JpIRPbeSrd1uaq2gV/K+DQDoUMHIPlmhXlVLy+sDTlWFtfOK9R6/7v0AbJ/hODSGuGZhISPbbv//HKcffM+O7hcen9DEL/2/Dc9N/cr/T8XpqR097rFHH284Pve7H9XKX/7Fjh5z/Bd+WZFDh+rGl//iK7r8e43/fTey713vUe+rXl03Xpic1PS//eUdPWbq+1+l4Xc/0PAcz1Pjf9+N8Dw93nCc5+k9O3rMrZ6noaGkvv4vPtB1z1OuUtW//btztWPDtvXjH/2ggpXyTT8mrydeT43wPP3yjh6T54nnqRGep1/e0WPyPPE8NdLKz9PQUFLz8+3fZN80DQ0MJLY8z0ypDrM2/5RC7xrb2Z2/03i4kJmSXmsqVNn+41afXm04blfyKh6/qNDE9h/TuVTY8lw29s2d/f2L9pan1nJ/s+P/ps7FSuPH5HnieeJ52rZmPk9rS+ek1+zweXrmOs/TsYsKje/28/Qthf7x7jxPsYClgXBQC8X1EMoxTa3+2Hdpv315G7Vu8Txd+bpC7xzdfp2S9Fzj4UJmWvoBU6HyDR7Xqf/n6rNbPE/Vgkq3zyo0cnDjfo2+v3M8f0qyLxe3LCEX/Y6C9+73PIazZX01pa1fT9nC0wq+abhBTZ4HafD4TqXa8DHzK6cVfO3Qxu28tTaq8drxYuM6y4Ur0glDgYmBBv/dGjyuI8l25BRtOfNb/zcFAADtj1Cqw9jVosye4I7u61iNf0F17IqMmCFD239cO9y4bZkjRwpVZYa2/5jV5a2/sbfNnf39nUJV2mKZuG0XdvzfVBe3eEyeJ54nnqfta+bzVC3LiO/B8xSuygzv4Hlaud7zVJCZ2r3naSwRqYVSknQ5MaKD5tLNP/Bs42G7UpDZG9pmleucwFavp7KMhCFD239cO2Y1fkzHlhMty9xBj0OnsnWAVLVWZY1Gtzy/5WNe5/VUqVyRdVt8248pSXqu8czwUn5O1h3JHT2k8/XGz1OltCLjNlMBpbb9mJUtwnjHcVR8wYX1kLdQlVOypaItp2hLBVtOsbpxXPQcXyfoAwAAzUUoBQAAasbiEX1zYWOq+GVnwMdq2kz7dwDYI7fwH6a4VSBZlAL2eiC7zVDWvs7Mw2JoRtZLe9eDrqJdH2yVbIlMCwCAXUMohZqh+3501x+z/81vaTh+aiWvU/YLNawF7TMWFDIaL/doJH7izobroSXJjERVLW1/qr8VT6j37lc3fsx4XFre9kNKkgbfdt/O7ngdzXyebgXPE89Tw8fkedqR6z9PkV19nsYSEdfxdkOpwbe9fdu13EhHPE/hiKrlXX49xWLSyrYfUtIePU9v/0e7/piDP9z4dW9Xtg6WbiR2fOvnqZJcUPCV/de9v2GGZFoRmVZUZiAi04rICibVO/bqhrcPHhzQkQ//lkwrIsPcvV+9t+plciu26rlyK4bf/cCW/WF2qvdVr27Yx+ZWRA4d2pP/pu38PN1qP5tOeJ6yi3+vhanP1I6DkSHtf8E/u6nH5PX0+K4+ptTerydsjUbnm3RCo3O7UpBd3dlW3WYgLtOqXwJh22XZ5cyOHtOwIrIC9csV/vDsJX1rcf0xDUn3jiZ0V3+k7nYNH9MMygo2bpRWKa1Izg6+wjQMBUK9DU9Vyxk59s03+d3MCvXIMOqXiFzveervT2hxcev/3s18nhzHVrW0syueTn+eboTnqbfhqXZ5ngb6w5q7tMU6tBu43vNUubaLz3Yf0wwqEGy8pKpSXJazg6kbhgwFwn31j2c7+pVvPK/Kpo/DD9zRq7Ap/bdn067b/uQLxxSx3MsVA+Hehs9TtZKXXcltu05JsoIJmVb9cjq7WlK13Hh51wbn6v+5GytZgXjDn33HsVXOz6l2D6dBQ6ZNj3vtnx1JphVRKNp4W8JiJi3HqWw8RoOa1OjfZ1iK9hxp/JjZGVVr7yf19697fGfjdtHU8YY/+6X8nEq5S/V1uR7bcf//q8PRniONf6ZKy8ovn3Ldq1FNmx87GrWUWV1RNHVckeSh+jpzlzR76iN14zcj1nenBg+9reG59Lf+gxx7+9u+W8GkDt75/zQ8d/ns/1Bh9YwkyTACMgPRq6HWRrBlbD62IlfDrqjCsYMyzMZLTYG91ilNlm9FtZLXhb//oDa/Tx144b9o+F4H7LZOeQ3S6LzLmIH1X2R29THNoMxdfuOdzm58w+lIGk70KhDefq8Nr0Bo+/0qbmSrC/Zbcb3nKRxLKpDdfn+YvXieDMPckw/dTniedvyYPE+7/ph78jxZoV3/b2oYpoLh68/A2IlAuHd3H880dCAe0XRm4316thzRnf1JRaM5zeY3LtgvlmM6Hr+5nkZWINowrLsVphWSaQ3u6mMahqlQbP+Nb7hN4cQOm/Ff7zHjO2wcfx2h6LBC0eEb33AbAqFeJfe9Ylv3udEv4sHosA7e+dOyq3nZ1YLsytU/a//LXw2sC5tus35sWo1/Dh3H3lEgJWnLx5Qkp7rpdx6nomp5TdXyzV1kHHzRz8gy6x87c+VvlVs55QmxNoVaVmRT+BWVYQZlGMb2/2JAl7MCUYUT4ypmNnZny62cVs8239MAbI1QCk23Vq5oqbixXM8ypAPx7TeUBQDsjTFPKJXOFnVnf1ITiagrlJrK5HW8d4eNtoFbYBimrGBcVnD7P39bLhJwbKX2v+a6wdbmgGkz09o6GLe3uM/NaDRDUFqf0VZYfX47j1QLrgYPvU2h2IG6W1SKSyrlZ+tncZlhAi10tWjqmCuUyq+cIpQCdhGhFJpuJuP+5Wx/LKyg2Xi3KgBA843F3RfY6cz68siJZERfm99YKjqZ2fnFNuCXrQIWwwwoNfK9172v4zhyqsWN2VdXgytji/BIUi3gWQ+nbr5NhGGFZRiNfz+yK9tdsmzLruSuLqFt/Jj5tbNaSn+hUSUyrXDd0sLNM7IiPUe3XLoKtLtozzEtX/jT2nExM72+o+wuz9IGuhWhFJpu89I9qf7iBwDgL2+z8wu5oqqOo0MJ9zKimUxBFdtWgC8W0CUMw5CxzSXDw8fWm906jiPHLjVYbpiv9cazNwVehrH1r+m3NPtqi2W0WzePd2q1bmUgmCSUQscKRgYUCA+qUrxydcRWfu15xfvu9LUuoFMQSqHp0p5v1r0XPwAAf/WGAkoELGUqVUlS2XY0ly/pQCysVCigldL6EuyK4+hirqjxxO72igI6kWEYMqzw+pK8W+zZ13vgtaqUX7YpzCq4wi7He+xstE3YaqnhrS0z3Pp3uezi32/ZWB9oF9HUMa1dvlI7zq+cJpQCdgmhFJqq6jia8cyUGo9zMQMArcQwDI0lIvrOcrY2ls7kdSAW1kQiom9v2iF0ci1PKAU0WSg2opBGbvr2jl3ZmIFlNg6HgpFBRVPHXE3h7Wr+pnZM3SqUyi1/RwtTn1EgPKjBw/cxmwptK5Y6prXLT9aO86vPy3GqDXebBbA9hFJoqsv5kkr2Rj+FeMBSX5gfQwBoNWNxTyiVLegVkg4lo+5QKlPQ9/tQH4CbZ5gBWWZSVjC55W0SAy9RYuAldeOOXXXvYlgLrTb6almh3rr7lYuLWpj6I0lSpXhFc6ceVd/YDykx8OLd+msBTROKj8oMxK72ZVvfVbOYmVYkedjnyoD2RxqAppr2LN0bT0TY0QUAWtC1pdWxgKmxeKQ2q3XCMytqai0v23Fk8l4OdCTDtGSZ29/pcOXSV+TYxdqx41S0OP05FTNT6ht7k0wzuNulAnvGMExFe44qu/it2lh+5TShFLALCKXQVOmse7cYmpwDQGsaT0T00y+aUH846PryYDgaUsQyVajakqR81dZ8oaTh6Na7jwHoPv1jb5FhWK6LeEnKLn5TpdxFDR6+T8HIoE/VAdsXTR2rC6V6D76BL9iBW8R2OWgqmpwDQHsImqYGIqG6X7ZNw9C45717am3nDZIBdCbTCmlg4l71j7+1bifBcuGyZk99RNnFv/epOmD7Iskj0qYeUpXSkiqFK9e5B4CbQSiFpslXqpovbDTLNCSNMlMKANrOIe8Svkx+i1sC6HaJgZdo+PhPKBAecI07dlkLU5/R4vQTcuzKFvcGWodphRRJHHKN5VdP+1MM0EEIpdA0ac+ue8PRkMIWP4IA0G4mku5QapJQCsB1hKLDGjn+oGJ9d9adyyz8rWZP/47KxUUfKgO2J5o67jrOrZzyqRKgc5AIoGmWimWZm1aBsHQPANrTaDwsa9P7+VKxopUSMx0AbM20whqY+BH1jf2QawmUJJXzs5p97hHllp71qTrg5kRTR13HpeyMquXsFrcGcDNodI6mecW+Xt012KML2aLSmYIOxGmKCwDtwnYczeVL6g0FFA1YOhiLaHrTDNipTF7f1b/1dvMAYBiGkoMvVTh2QFcmP63KptlRjl3Slan/pQPxgwqEUj5WCWwtEEopGB1ROT9bG8uvnlFi4CX+FQW0OUIpNFXQNHUoGdUhz9IPAEBremp+Rd9cWNOFbEEl29GP3jaiFw8kNZGMukOpNUIpADcnFNuvkeMPamH688ovf6c23nfg9QRSaHnR1DF3KLVymlAKuAUs3wMAAFtaKJR1fi2vku1I2ugPeMi7A1+GHfgA3DzTimjw0H3qG/1ByTAV7X2BEkMn/S4LuKFY6pjruLB2lmb9wC1gphQAANiSt/9f+mr4NO7Zge9SrqhCtaqI5e4VAwBbMQxDyaGTCsdHFQj3yzCMG98J8Fkwul9WMKlqeU3S+k6ShbXzdf2mANwcZkoBAIAtjcXdodTFXFEV21Y8aGkoEqqNO9oIrABgO0KxAzKtxhvgOHZFi9NPqFJaaXJVQGOGYSja454tlV897VM1QPsjlAIAAFvqCQWUCm1MrK46ji7lSpKkQ0n3ReQkoRSAXbZ04U+VWfhbzT73iPIrZ/wuB5C03ldqs/zKaTmO41M1QHsjlMKeK1ZtffDbk/rE2Uv6v7NLfJMOAG3GO1tqo6+Uewnf1Fq+aTUB6Hy5pWeVufKUJMmu5jV/7n9o+eKfy3FsnytDt4skD8swg7XjannN1fwcwM0jlMKem8kWtFgs69uLGT2RvqJPnecNGwDaSV0odfXLhQnPTqrpbEFVm2+KAeyO3Kad+a5Znfu/uvz876pytZ8P4AfDDCiSvM01lls55VM1QHsjlMKe886M8jbNBQC0tlFvs/OrM6X6QgH1BDcam5dtRxdzxabWBqBzDRx6m1L7XyPJ3QC9mJnW7HP/XYXVc/4UBkiKpo67jvMr9JUCdoJQCnvu2sXLNWPx6Ba3BAC0ooOxsOsXhsViWdlyVYZhaMK7hC/DEj4Au8MwDKVGvlf7jr5bViDhOmdXcrp89uNavvQVlvPBF9Ee92575fysKqVVn6oB2teWodQXv/hF/bt/9+/06U9/WpVKxXXuoYce2vPC0Bkcx9G0Z6bUODOlAKCthCxTI7Gwa2wm23gJ3yR9pQDsskhiQiN3/BNFkofrzq3O/qUuP//7qpYzPlSGbmYF4wrFR11jzJYCtq9hKPWxj31M//bf/ltls1k98sgj+rEf+zEtLy/Xzn/9619vVn1oc0ulirKVau04ZBraFw1d5x4AgFY06ukrNV1rdu4en8oU2IEIwK6zgnENHXmnUiOvqjtXzJzXpeceUWFtsvmFoatFe7y78NFXCtiuhqHUH/zBH+ixxx7Tv//3/15f+MIXdOLECd1///21YIpfNnGzvP2kDsYjsgxji1sDAFqVtx/gzNX39+FYWGFz49eJbKWqK4VyU2sD0B0Mw1Rq/6u07/Z/LDMQd52zKxldfv73tDL7V1yroGlinr5Shcyk7GrJp2qA9tQwlJqfn9cdd9whSbIsS7/8y7+su+++W+9+97u1tLQkg1ABN6lu6V6cpXsA0I7qduDLFmQ7jizDqFuWTV8pAHspkrxN++94SOHEhOeMo8zC38mx2XABzRGIDCoQ6tsYcKoqrJ31ryCgDTUMpfr7+5VOp11jP/dzP6dXvOIVeve7361qtdrobkCddNZ9YcLOewDQngYjQUWsjV8bClVbC1dnRE0k3e/tk4RSAPaYFUxq3+3vUs/w920MGpYGD98n0+L3TTSHYRiKprxL+OgrBWxHw1Dq7rvv1mc+85m68X/9r/+1XvGKV6hY5NsH3FjZtnXJszU4oRQAtCfTMHSkJ6rDyai+f6RP77x9v3pCAUmq34FvrdDoIQBgVxmGqd4DP6ChIz8uMxBT38HXKxw74HdZ6DJ1odTqGXaEBLYh0GjwF3/xF7ecDfULv/ALeu9737unRaEzXMwWVd20pL8vHFAy2PBHDgDQBt55e+OLvbF4RKYh2Vff8xeKZa2VK7znA2iKaM/t2n/HP5MZiG15G8dxaEGCPRFOjMuwwnKq61/G25WcStkZhRPjPlcGtIeGM6VCoZCi0WijU5KkAwf4BgI3ls66vyn39iMBAHSGkGXqQCzsGptaYwkfgOaxgvEtQ6dKcUmzpx5RMTvT5KrQDQzDUrTnqGuMJXzAzWsYSgG7oa7JeWLroBMA0N4OeZfwZVjCB8B/jl3R/PlPqZyf09yZx7V6+Wvszodd513Cl1sllAJu1k2FUn/2Z3+mn/qpn9J73/te/dZv/ZYymUzdbRzH0de//nX9h//wH3a9SLQnZkoBQPeYSLpDqUlmSgFoAUsX/kTl/KX1A8fW8oUv6cr5T8quEJxj90STt2vzpXWlcEXl4qJ/BQFt5IbNHr7whS/op3/6p2vfKDz55JP64he/qE984hNKJpP6m7/5Gz3xxBP68pe/rMXF9Rfez/3cz+1t1Wh5FdvRkZ6o0pmC5gtlBQxD+z1LOwAAnWPCs5HFpVxRxaqtsMWkbAD+WO8jZdWN51ee0+ypOQ0evk+h2H4fKkOnMQMRhRPjKmYma2P5ldMK7nulf0UBbeKGodRHP/pRDQ4O6oMf/KDGx8f15S9/Wf/xP/5HPfLII/rmN7+pr3/963IcR8PDw3r729+uV7/61U0oG60uYBq67/CIJClfqWq+UFLApLkkAHQCx3G0WCwrnS2oYjt62VBKiWBAg5GgrhTKkiRb6zNmb+/ZuvEwAOwlwzDUN/pGhRPjWpj+o1ojakmqlJY0e/p31HfwjUoMvpQm6Lhl0dRxTyh1Sj2EUsAN3TCUOn/+vB566CG94hWvkCS9853vVDab1Yc+9CHZtq23v/3tesc73qE777xzz4tFe4oGLPpJAUCHuFIo6be/k1ausr7ddSoU0MuGUpKkiUS0FkpJ683OCaUA+C3W+wKFoiNXe0td2jjhVLU08wUVM1PqH3+LTItZ/di5WOqYli98qXZczEzLruRlBrgOAq7nhnPqM5mMRkZGXGOvfe1rValU9OCDD+pXfuVXCKQAAOgSvaGAitWNJsErpYpWSxVJ0iHPEr6pDH2lALSGQLhPI8ceUGLwZXXncsvPaPbUoyrl53yoDJ0iEO5TMDK0acRRfvV53+oB2sVNNXrwTmft7++XJL30pS/d/YoAAEDLCpimDnh6BM5c3djikKfZ+XSmoCq7XAFoEYYZUP/YmzVw6B/KMEOuc5XiguZOPabMlW+wOx92zLsLX36FXfiAG7mpUOorX/mK/s//+T+am3N/exAKhba4BwAA6FSjnt1UpzProVR/OKhEYKOpcMl2NJsrCgBaSbzvhEaOv0/ByLBr3HEqWkz/sRamPifHrvhUHdpZXSi1+rwcu+pTNUB7uGFPKUl64okn9IUvfEHS+iypI0eOyDAMPfvss7rttts0PDx8g0dAN1kpVRQ2DUUC9budAADa31girK9e3jhOX50pZRiGJpJRPbOUqZ2bXMvroCfEAgC/BSMDGj7+Xi3N/G9lF/7Odc6xS1KDXfuAGwnFDsoMxGVXspIkxy6qmJ1SJHmbz5UBreuGodTXv/51Pfvss3r22Wf19NNP69lnn63tuPfBD35QH/zgB9Xb26sXvOAFuuOOO/TCF75Qb3nLW5pRO1rUl2au6FsLaxqKhjQej+ju4V7tj9E4EgA6xXjcvUzvQrYg23FkGoYOJSKuUGoqU9D3NLtAALgJphnUwPgPK5KY0GL6CTl2WVaoVwPjb2U3PuyIYZiK9hxVdvGbtbHcymlCKeA6bhhKJRIJnTx5UidPnqyN5XI5fec739EzzzyjZ599Vs8884y+9rWv6cknn5RhGIRSXS6dKciRdDlf0uV8Sd892ON3SQCAXdQXDigWsJSrrC9JKNmO5vIl7Y+FNeHpKzWVyctxHC7wALSseP93KRTdrytTn9XA+A/JDDC7EzsXTR1zhVL5ldNyDr6Rz0FgCze1fM8rFovppS99qavRebFYrAVV6F7ZclULxY3twE1JB5klBQAdxTAMjcXDOrWSq43NZAvaHwtrfyyskGmoZK83Cl4rV7VYLGsgQh9KAK0rGB3SyPEHrxscVCs5WYFYE6tCO4okb1tf/umsf3FTLS2rXJhXKLrP58qA1nRTjc5vRjgc1kte8hK9853v3K2HRBtKZ93bf4/EwgpZu/ZjBgBoEWMJ94yo9NVm55ZhaCzhnmUwefUcALSy6wVSueXv6OIzH1J26ekmVoR2ZFohRZKHXWP5lVM+VQO0PtIC7Kppz4XHeILpzwDQicbi7lmw15qdS9KEJ7CaWnN/YQEA7aRcXNTC1B/JsUtamPxfWkx/gd35cF3R1HHXcX7ltE+VAK2PUAq7avNFiSSNseMSAHSkUc/7++V8SYXq+lKFQ55QajJDKAWgPTl2VVfOf0qOXayNZa58XbOnf0fl4qKPlaGVRXuOuo5LuQuqljNb3BroboRS2DW242gmU3SNMVMKADpTNGBpaFOfKEfShez6Z8BYIuL6BeNKoaxMmVkFANqQYSoxeNd6j6BNyvlZzT73EeWWv+NTYWhlgVCPQtH9rrH86hmfqgFaG6EUds3lfElF264dxwKm+sNBHysCAOylsYRnCd/VJdxhy9R+zyYX3uXdANAODMNQcvBlGjn2XgVCfa5zjl3UlfOf1NLMl+TYVZ8qRKuKpo65jukrBTRGKIVd02jpHlufAkDn8i7Rns1vzJadSHqW8NFXCkAbC8X2a+SO9yna+4K6c2vzX9PcmY+qUlxufmFoWd6+UoXVc7Lt8ha3BroXoRR2jfdbcO/OTACAznI4GdPd+1J6x23D+ukXTehHbxupnZvwLN+eYqYUgDZnWhENHrpPfaM/KBnuy6hS7qIunXpEOWbD4KpgdFhWsKd27DgVFdfO+1gR0JoIpbBr0uy8BwBdZV80pB+e2KeXDPRoIBJyzY717sB3IVdQqWp7HwIA2ophGEoOndTw0QdkhVKuc061oCvn/lBLF/5UjsNyvm5nGEbdEr4cu/ABdQilsCvylaouF0q1Y0PSqGe7cABA9+gJBVx9BW1HmskyWwpAZwjHD2rk+EOK9hyrO7d2+au6/PzH5TiOD5WhlXhDqcLKaX4uAA9CKewK74XGvmhIEcva4tYAgG5wyDNjdpIlfAA6iBWIavC2H1Xvgddr/SvZDbHUHfRWhSKJQzLMjZ1qq5WMSrmLPlYEtB5CKeyKRk3OAQDdzdvsfIpm5wA6jGEY6hm+W8NH31PrHxTtfYESQyd9rgytwDADivQccY3lV1nCB2xGKIVdcaIvoTePDerOvoRSwQD9pAAAdX2lpjMF2SxbANCBwokxjdzxkBIDd2lg/IeZJYUa7xLPPH2lAJeA3wWgMwxHwxqObvSQ4qIDALrHWrmidKag6UxB6WxBPzQ+pAOxsIYiQcUClnKV9Ya/RdvWbL6kAzF6DgLoPFYgpv7xt2x53rErKuUuKpwYb2JV8Fs0dVTryzvXr4/K+TlVSssKhHr9LAtoGcyUwp4w+XYIALrGH01d1sefv6S/nF3S+bV8bZmeYRh1faVYwgegWy1d+FPNnXlcK5f+Qo7DbqTdwgrEFI6PusbyK2d8qgZoPYRSAADglnj7CG7e/MLbV2oyQygFoPvklp5V5spTkqSV2b/Q/NnfV7Wc8bkqNEs0ddx1nF855VMlQOshlAIAALdk1BNKTW/aZe9Qor7ZOdthA+gmdrWghfQfu8YKa+c1+9wjKqxN+lMUmiqacveVKmQmZVeLPlUDtBZCKQAAcEsOxiOuzdAXiuVaH6n9sbCC5sbZ1XJVy6VKkysEAP+YVkRDh+6TGYi7xquVjC4//3tamf0rwvoOFwgPKBDu3xhwbBVWz/pXENBCCKVwS0pVW389u6TpTF4Vm7XxANCNwpapkWjINXZtCV/ANOpmUk3SVwpAl4n03KaROx5SODHhOeNo5dL/0fzZP1C1kvOlNuw9wzDqZkvl2IUPkEQohVt0IVfUF9JX9NvfmdH/+41z+h9nL/ldEgDAB6OJbSzho68UgC4UCCa17/Z3qWf4e+vOFdbOava5R1TMpH2oDM0Q7fEs4Vs9Q8N7QIRSuEXTmy4sqo6jALvuAUBXun6zc+9MqYIAoBsZhqneA6/R0JEfl2m5A/tqeVVzZz6m1bknWc7XgcKJcZnWxuehXc2rmCWEBAilcEvSGfeFxZjnm3IAQHfwvv+nM4XaRdV4wt1z6nKhVOs5BQDdKNpzu0bueEih+KjnjK3li3+mK+f/UHaFWaWdxDBMRXqOusbyLOEDCKWwc47jKJ11h1LjcUIpAOhGQ5GQwtbGrxX5qq2FYlmSFLEsjcTCrtuzhA9AtwuEUho+er+S++6uO5dfOa3585/0oSrsJW9fKUIpgFAKt2C5VNFaeeOb7qBpaNhz0QEA6A6mYWg07v4M2DybdsIzk2qKJXwAIMOw1Hfw9Rq87UddS7tkmOo98Fr/CsOeiPYckYyNS/BKcUHlwhUfKwL8RyiFHfMu3TsYj8iipxQAdC1vX6nNs2m9zc4nmSkFADWx1HGNHH9IodgBSVLfwTcoHD/oc1XYbaYVUcSzAyOzpdDtCKWwYyzdAwBs1qiv1DXeZucXsgWVbXYdAoBrAuFeDR99QP3jb1Vi8OV+l4M9Ek0ddx0TSqHbEUphx6Zpcg4A2MQ7U+pSvlgLnlKhoPpCgdq5qiPNZItNrQ8AWp1hWkoMvETGFqsPKsUlZa78LbvztbFoj7uvVDGbVrWS86kawH+EUtiRim3rYs59MeG9GAEAdJdEMKC+8HrwFDINTSSiym7qPTiRdC/hm1pjCR8A3CzHrujK+U9pMf2EFqY+I7tKsN+OAuFeBSP7No04Kqw+71s9gN8CN74JUO9SrqTqpm9oekMB9YT4cQKAbvcjh4YVD1jaFw3V9RmcSET1zYW12jE78AHAzVu68Kcq5S9JknJLT6uUu6TBw/cpFB32uTJsVzR1TOXC5dpxbuWU4v3f5WNFgH+YKYUdmfZcSDBLCgAgSbf3xLQ/Fm648cUhT1+pqUxBNktQAOCGKqVVZRe/5R4rLmju1GPKLPwdy/najLevVGH1rBy74lM1gL8IpbAj01n6SQEAtmcoElLU2vjVo1C1dTlf8rEiAGgPgVCPRo4/6Fn2JTlORYvTn9fi9OdkV3k/bReh2AGZgUTt2LFLKmSmfKwI8A+hFHYk7WlyPk4oBQC4AdNY7zO12SRL+ADgpgQjgxo+/hOKD3x33bns4rc1d/oxlfPzPlSG7TIMQ9HUUdcYu/ChWxFKYdsy5YqWSxvTSy3D0IFY2MeKAADtom4J31phi1sCALxMM6iB8R9W//i9Msyg61y5MK/Z048qu/htn6rDdkRT7l348iunWYaJrkRnamxbIhjQL373bZrJFjSdKahQtRUwyTcBAPUcx1GxaisSsCSpbqYUzc4BYPsSAy9WKLZfVyY/pUrhSm3csctamPqsCpkp9Y3+oExPcIXWEUneJsMIyHHWv+yvlldUzs8pFBvxuTKguQilsCPRgKWjqbiOpuJ+lwIAaDGrpYqeml/RTLagdLagkWhYD94xKkk6GA8rYBiqXP02eLlU0XKxrN4wF04AsB2h6D6NHHtQi+kvKLfknh2VXfg7lbIXNXj4PgUjAz5ViOsxzaAiyduUX91YtpdfPU0oha7D9BYAALCryratP7+4qFMrOeUqti5ki7Vd9gKmqdG4e8n3VIYlfACwE6YV0sDEveofe4sMwz3foFyY08rsX/pUGW5GoyV8QLchlAIAALuqPxxULLDxK0bRdu+yN5Gk2TkA7BbDMJQYvEvDx39CgXB/bdwK9ap/9E0+VoYb8TY7L+UuqlJe86kawB+EUgAAYFcZhqHRuLuh+Ux2YzbUIW9fqTVCKQC4VaHosEaOv0+x3hOSYWno8H0yA+yQ3cqsYFKh2AHXWGHljE/VAP4glAIAALtuzBNKpTeFUuOJiIxN5+byJeUr1SZVBgCdy7TCGjj0No0cf19d2IHWFE0ddx3nVk75VAngD0IpbMufzizo0+fn9NT8imZzGz1CAADYbCzhCaU29Y2KBiwNR0O1Y0fSNH2lAGBXGIahUHTfludzy9/R0syX5Nh8GdAKvH2limvnZdtln6oBmo9QCtvy90tr+tsrq/rM5GV96JlpTbLkAgDQgHem1Fy+pGLVrh1PJOgrBQDNVi4uamHqj7Q2/zXNnXlcldKy3yV1vWBkn6xQqnbsOBUV1s75WBHQXIRSuGm5SlVXChupvSHV9QwBAEBanw01GAnWjh1JFzYt4ZtIuj8/6CsFAHvLsSu6cv5TcuyiJKmUu6DZ5x5hxzefGYahaA+78KF7EUrhpqU9SytGYmGFLH6EAACNXa+vlLfZ+Uy2qIptCwCwNyrlVdlV9xcAdrWg+XOf0NKFP5XjsJzPL94lfPmV03Jok4IuQaKAmzaddYdS3osNAAA2u15fqd5wUKlQoHZccRxdyBabVhsAdJtguF8jxx9SpOdo3bm1y1/V5TO/q0pp1YfKEEkckmFu9Fq0K1mVchd8rAhoHkIp3DTvTKnxBKEUAGBrjWZKbf7md8LzOTJFXykA2FNWIKqh2/6Reg+8TnLtgyoVs2nNnnpE+dXn/SmuixmmpWjP7a4xlvChWxBK4abYjuNadiExUwoAcH0j0bACxsZFz1q5qpVSpXZ8KOltds4OfACw1wzDUM/wPRo+er+sYNJ1zq7kNH/2D7R88f/IcVhS3UyNlvAB3YBQCjdlvuDeNSlqma4GtgAAeFmmoQPxsGts8xcc3h34ptbysumhAQBNEU6Mry/nSx6pO7c691c68/VHZFdLPlTWndaXVW58kVMuXFaluORfQUCTEErhpniX7o0lIjIMY4tbAwCwbtwzq3ZmUyg1HA0psmnDjHzV1nyBCyAAaBYrGNfQkR9Xav8PyLucb23prJYv/qk/hXUhKxBVODHmGmO2FLpBy4RS6XRa73//+3Xy5EmdPHlSDz/8sBYXF7f1GM8995zuvPNO/eZv/uYeVdm9WLoHANiJ0UREliGNxsN65b6Ubu+J1c6ZhlHXn3BqjSV8ANBMhmEoNfJ92nf7u2QGEq5zmSvfUCk/51Nl3Sfac9x1nCOUQhcI3Pgme29paUn333+/SqWSHnzwQVWrVT322GM6deqUPvnJTyoUCt3wMSqVin7+539e5XK5CRV3n2manAMAduAFvXH90l1HFDQbfw92KBHV6ZVc7Xgqk9fJfalmlQcAuCqSPKT9dzykudMfVaW0vmwsEO6TXWVn1GaJpo65ZqcVM1OyqwWZFtde6FwtEUo9/vjjmp2d1ec//3kdObK+pvnFL36xHnjgAX32s5/VO97xjhs+xn//7/9dZ86c2etSu1KhWtXlvHs5xSgzpQAAN2GrMOqaibpm5+zABwB+sYIJ9Y6+QQuTn9GBI6+XGXuxDLMlLhm7QjAyoEB4QJXiwtURW/nVs4r3nfC1LmAvtcTyvSeeeEInT56sBVKSdM899+jw4cN64oknbnj/U6dO6cMf/rB+8id/ci/L7Foz2aI2t50dioQUDVi+1QMA6Byj8bCsTT0Kl4oV1w59AIDmivYc04ET/1Ijh19NIOWD+l34TvlUCdAcvodSKysrSqfTOnGiPv09ceKEnn766eve/9qyvXvuuUdvfetb96rMruZtcs7SPQDAbgmapg56duibYrYUAPjGMAxZgeiNb4g9EU25+0rlV5+X41R9qgbYe76HUnNz643zhoeH684NDQ0pk8lobW1ty/t/5CMf0dTUlH7lV35lz2rsdpYhpUIb35IQSgEAdtOhhPviZ2qNUAoA0J3C8VGZ1sbnolMtqJhJ+1gRsLd8n4+ZzWYlSdFofRofDq9/c5rL5ZRMJuvOnzlzRv/1v/5X/dIv/ZJGRkY0MzOzt8V2qe/f36/v39+vlVJF6UxBY4nwje8EAEADq6WKZrIFHemJKWytfzc2kYxIsxu3mcqwAx8AtCK7WpRpcS2wlwzDVDR1VNnFb9fG8iunFEke8q8oYA/5HkrZtn3D25gNmqRWq1X9/M//vF760pfeVCP0mzEwkLjxjbrYkKTb/S6iSwwN1YewAJqL1+Hu+tRzM3rq4pIWC+u75P4/L79dL7z63ziaiur3zlyq3fZSrqhEb0zRIP0LuxmvQcB/116Htl3R5am/0qXzX9axlz6keGrM58o6W8B+sc5tCqVKmec1OPgPZWzqwYju0A2fhb6HUvF4XJJULNZvNXpt7NptNnvsscf03HPP6Q/+4A+0uLgoSVpdXZUk5fN5LS4uqre3t2GgtZWFhYxs27nxDYE9NDSU1Pz81ktWAew9Xoe7b2G1UAukJOnvLy5qSBu/XO+LhHS5sL7TqyPp76bmdTRV//mP7sBrEPDftddhYe2cFqefUKW0JEk6//RntO/oewhI9pDtHJAMS7raS6qYX9ClmfMKRoZ8rgzN1CmfhaZpXHcCkO89pQ4cOCBJmp+frzt3+fJl9fT0KBaL1Z37q7/6K5XLZb397W/X3Xffrbvvvls/8iM/Imk9sLr77rt18eLFvS0eAADclDFPP0LvJhoTSff5yTWW8AFAK3AcpxZISVIxm1Zu+RkfK+p8phVWJHHINZZfOe1PMcAe832mVE9Pj0ZHR/XMM/VvbM8++6zuvPPOhvf72Z/92drMqGuuXLmin/mZn9G9996rf/AP/oGGhkiSAQBoBWNxTyiVLcpxnNo37YcSUT01v/G5PskOfADQEqI9RxTtOab86kYosnzhzxRNHZdpBn2srLNFU8dUWDtbO86vnFbP8Pf4WBGwN3wPpSTpDW94g373d39XZ8+e1ZEjRyRJTz75pM6fP6+f+ImfaHifRmHVtUbnY2Njuueee/au4C5RdRzZjqPgNpZAAgDQyL5oSCHTUOnqMvlcparFYlkDkZAkaSLp3vBkJltQxXYUMFkeAgB+6z34euXXnpec9X7A1fKq1uaeVGr/q3yurHNFU8e0NPPF2nExm1a1nJUVZGk7OktLpA3ve9/7lEql9J73vEcf/ehH9du//dv6qZ/6KZ04cUL33nuvJCmdTutzn/uc0mm2w2yWdKagX/nGWf23Z6f1+al5Pbec9bskAECbMg1Do3WzpTaW6PWFAurZ1Ni8bDu6lKvvNwkAaL5gZEDJoVe4xlbn/q8qpRWfKup8gVBKweiIayy/esanaoC90xKhVH9/vz7+8Y/rjjvu0Ic+9CF97GMf0+te9zo9+uijCoXWv0F96qmn9PDDD+upp57yudrukc4UVHWkmWxRX728rG8ttH+TNQCAf+qW8GU2QifDMDSRcM+WYgkfALSO1Mj3yQxs9Pp1nIqWL/65jxV1vmjqmOuYvlLoRC2xfE+SbrvtNn3kIx/Z8vzb3vY2ve1tb7vuY4yOjurUqVO7XVrXms66m8x6m9QCALAddc3Os+7QaSIZ1d8vZWrHU2t5fd9IX1NqAwBcn2lF1Lv/NVpM/3FtLLf0tIqDL1M4Me5jZZ0rmjqm1dm/rB0X1s7KsSsyzJa5jAduWUvMlEJr8u6MNB4nlAIA7Jx3+d6lXEkV264dH/KEVpOZghzHaUptAIAbiw+8pG5J2dLMl3iv3iOh6H5ZwWTt2LHLKmQm/SsI2AOEUmhopVTWarlSOw4YhkZiYR8rAgC0u55QQL2hjW93q46jS7lS7Xg4FlZ40+YauUpVVwrlptYIANiaYZjqG32ja6yUv6Ts4rd8qqizGYahaM9R1xhL+NBpCKXQ0LRnltTBeJgdkAAAt+x6zc4tw9C4Z7bUFH2lAKClRBITivW+0DW2fPHLsqtsTrEXGvWVYmYaOgmhFBryLt3zNqcFAGAnvH2lpjPevlLeJXyEUgDQanoPvE6GsTHz1a5ktDr31z5W1LnCycMyzGDtuFpeVTk/62NFwO4ilEJDNDkHAOwFb3/Cmaz7m3XvDnxTa+7PIwCA/wLhXiX33e0ayyx8U7bNkuvdZppBRZK3ucZYwodOQiiFOhXb0UXPRYJ3OQUAADtxIB7W5tXgi8WyMpt6GI7FI67zC8Wy1jadBwC0hp7h77nahNtQYvBl2v+CfyZz04we7B7vEr4coRQ6CHtJos5srqjKpnXKPcGAUiE+YAAAty5omjrRm1DIMjUaj2g8EVEsYNXOhyxTB2MRV6+pqbW87uxPNno4AIBPTCukgfF7ZQbjCkWH/S6no3mbnZfzl1QprSoQ6vGpImD3EEqhjnfpHrOkAAC76cdu33/d8xMJTyiVKRBKAUALivTcduMb4ZZZwYRCsYMq5S7UxvKrp5UcfJmPVQG7g+V7qFPX5JxQCgDQRIeS7r5Sk2s0OwcAdLdo6rjrmL5S6BSEUqiT9s6UYuc9AEATeWfoXsoVVazaPlUDAID/vH2lCmvnZVdLPlUD7B5CKbhkyhUtFjd2zTCN9aa0AAA0SyIY0GBko5ehrfovTAAArclxHOWWntXK7F/7XUpHCUaGZIV6Nwacqgpr53yrB9gthFKo87qD/TqeiilqmdofDSto8mMCAGiuQwn3Er4plvABQMsr5S7p8pmP6crkp7Ry6SsqF+b9LqljGIahWN0SvlM+VQPsHhqdwyURDOg1BwYkrX/LkWe5BABgj+QrVc1kC0pnC4oFLL1yX2/t3EQyqq9fWa0dT2UIpQCglTmOrSvnP6VKaenqiK2lmT/Rvtvf6WtdnSSaOqa1+a/VjvOrZ+Q4tgyDSQRoX4RS2JJhGK5tugEA2C1nV3N67NTGLkL7Y2FXKHXI01dqOlNQ1XFkGUazSgQAbINhmOo98FpdmfxUbaywdlb5lTOKpo76WFnnCCfGZVhhOdWiJMmu5FTKXlA4MeZzZcDOEakCAICm2x9z9yucyxVV2jQ7tz8cVGLTFyMl29GlXLFp9QEAti/a+wKFExOusaULfyLHrvpUUWcxDEvR5O2uMZbwod0RSgEAgKaLBSwNhN3NzC9sCp0Mw9BEkr5SANBODMNQ38E3usYqxQWtXXnKp4r+/+zdd5hTZfo38O9JTybJJNMrDFWaIEoTEJCOoqzYXXtXXFdlbavr6vrD8mLHtbui6LIKSlMEFAVEOggCMnSmZ2qSSSa9vH+MZjhTYIYpZzLz/VyXl9e5T7vJEJK5z/PcT8ejrd1XqvKwRJkQtQwWpYiIiEgSmTHiKXp5TvEKe7Wn8J1wcgU+IqL2TqVLgT7+XFHMblmPoL9Koow6Fq2xB4Caqex+Tyn83grpEiJqJhalKOJYpQtFLi9C4bDUqRARUSeQWavolFclLjrVN1IqzM8oIqJ2Lzb1Qgiymmna4aAX9qJ10iXUgcgU2jpTJN32QxJlQ9R8LEpRxLKcEszbn4t/7TqKD7LzUeH1S50SERF1YLVHSuXXGgmVqlNDJat5GuwMBPnZREQUBeTKGMSmjBHFnOW74HNZJMqoY9HG9hZtsyhF0YxFKQJQvSx3qaf6i74vFMZxhxsxXHmPiIhaUYpODcVJq+nZ/QHYfYHItlwQ6oym4hQ+IqLoYEgcBoU67qRIGNaC1Rzx2gJqF6W8zhyEAuy7SNGJRSkCUHfKRLJWBbWcfz2IiKj1KGRCnVX4aveV6qpns3MiomgkyOQwp08WxbzOHLjt2RJl1HEo1XFQahJPioThrjwiWT5EzcGqAwGo+0tA7SfTREREraFLrc+b/Krazc7FRakTThaliIiihcbYCxpDD1HMWvAdwqFAA2dQY3EKH3UULEoRgLojpbrEsChFREStL6PW501uVd2HJCd/WSnz+OH085cZIqJoIAjC76OlaqZqB302VJZsli6pDkJrrFWUchxBOBSUKBuiM8eiFCEUDtczUkrbwNFEREQtp/bI3IIqD4In9RtRy2V1pvjlsq8UEVHUUGoToU8cGtnWGHpAZ+ojYUYdgyomHTKFLrIdDnrhrcqRMCOiM8OiFKHM44c7GIpsa+QyJGiUEmZERESdhVmlEC2s4Q+FUeL2iY7paqg1hY99pYiIokpsylioYjKQ2P0aJPa4rlY/JDoTgiCD1thLFHPbD0uUDdGZY1GK6kzdy4zRQHbSakhEREStRahnhb3ao3ezau3P4UgpIqKoIldokdL7Vmhje0Pg7xktRht7lmjbZT/I1Q0p6rAoRcir1TSWTc6JiKgtZZ7UV0ouAI5aPaNqj5QqcHngO2mELxERUWekMXQHhJrRxkGfDX5PqYQZETWdQuoESHp1+kmxyTkREbWhPqYYKGUCuug1SNWpoZSJn5kZlArEq5Uo9/oBAKFw9Sp93Y26+i5HRETUKcjkKmgM3eCpPBKJue2HoNImSZgVUdNwpFQn5w2GYKnVu4MjpYiIqC2l6tQYnWJGF722TkHqD10N4s+mE5zCR0TUIXirChAK+k5/INVLG1trFT77QYkyITozLEp1cgVVHpw86zhBo4TupIazRERE7UFWrVVhc9jsnIgoqgX8DpTnLEXxoQ9RWbJJ6nSiltYoLkr5XAUI+p0SZUPUdCxKdXK1l9Xuwql7RETUDnWtVZTKdXoQYjNXIqKo5HEcR9Fvb6Kq4lcAgKN4EwI+m7RJRSmFygilNlUUc1dyFT6KHixKdXJ1Vt7j1D0iImqHao/k9YbqTj8nIqLooNKlQZCpItvhcAC2grUSZhTddHWm8B2SKBOipmNRqpOb0TUJf+6ZijEpZmQZtOhS60k0ERFReyAIArJqPTg5wSl8RERRSSZXw5Q2XhRz2fbD48yRKKPoVruvlMdxDKGQX6JsiJqGRalOzqhSoL9Zj6mZCbizTwZSdWqpUyIiok4qz+nBRosV/z1ShP+35zgqvOIv1F0N7CtFRNRRxMQNglKbIopZ81cjHA5JlFH0UmpTIFcaI9vhkB9ex3EJMyJqPBaliIiIqF1YlV+GlXll2Gd1wuYLIK9W38M6zc6dboTZV4qIKCoJggzmjCmimN9tQVXFHokyil6CINSzCh+n8FF0YFGKiIiI2oXMWott5Nfqe5iqU0MpEyLblf4grL5Am+RGREQtT6PvCp2pnyhmK/wBoaBXooyiV52iVOVhPrihqMCiFBEREbULGbWKUrVXiFXIhDrHcAofEVF0M6VPhCAoItuhQBXslg0SZhSdNPosCDJlZDvod8DnLpIwI6LGYVGKiIiI2oUutRqZF7m8CITET3lrT+E74WRRiogomilUJhiSzxfFHKVb4feUS5RRdBJkCmgMPUQxt/2gRNkQNR6LUp1UkcuL5Tkl2F1eiQqPn0M7iYhIckaVArHKmqflgXAYFpd4CkdXQ+2RUuLRVEREFH2MSaMgVxpqAuEQbIXfSZdQlNLGniXadtsPS5QJUeOxKNVJHa10YUuJHV8cK8ZLe09gyYkSqVMiIiJCRq3RUnm1+kp10WsgnLRd4vHBFQi2QWZERNRaZHIVTGkTRTG3/RA8lcckyig6aY09Rdt+twUBr02aZIgaiUWpTqp2n45krUqiTIiIiGp0qdUzqvYKfBq5HCk6tSiWwyl8RERRT2ceAFVMhihmLViNcDgkUUbRR66MgTomUxSzW9ZLlA1R47Ao1UnVffKsbeBIIiKitnO6kVIA0FXPKXxERB2NIAgwp0+pEw/6KyXIJnrFxA0UbVdV7IG3qkCibIhOj0WpTsjuC8B+0hLackFAqo4jpYiISHrpOrXoy0m5119neh6bnRMRdUzqmHTExA2CTK6FOWMaUvrcBYXKJHVaUSUmfjCUmkRRzJq/ij2Eqd1iUaoTqj0VIk2nhkLGvwpERCQ9lVyG5FrT82p/bnU1iItSBVUe+EOc3kFE1BGY0iYitd99MCQOhSDwd5SmEgRZnRFnPlcBXNZ9EmVEdGp8l3dC9TWNJSIiai8ya/eVqvW5FatSwKyuWaUvGAbyq8Sr9BERUXSSK2MgV7C1SHNojN3rrMRnK/weoaBPooyIGsaiVCeUW2uaQyaLUkRE1I7U/lyqPVIKqDuFL8fBKXxERER/MKVPAgR5ZDvod6Cy5GcJMyKqH4tSnUwwFEZBrafJtVc6IiIiklLtkVL5VZ46vTC61i5Ksa8UEVGHx5X4Gk+pjoMxcbgo5ijejIDXJk1CRA1gUaqTsbi9CJz0xd6glCNWpTjFGURERG0rQaOERi6DACBJo0I/sx6+UK2ilKHWCnxOD0Js4kpE1CGFQn7YitbBcvADhEPB059AAABjygWQKfSR7XA4AFvh9xJmRFQXqxGdTG6tKRCZMRoIgiBRNkRERHXJBAG3nZWOeLUSGoW83mMSNSpo5TK4g9VPzT3BEErcPqTUapJORETRrcq6H7aC7xD0VwIAHGXbYEw6X+KsooNMroYpbTwqcpdHYi7bb/A4TkBjyJIuMaKTcKRUJ8Mm50REFA3SYzQNFqSA6sJV7VX4TnAKHxFRh+N1nIgUpADAXrQBQX+VhBlFl5i4QVDp0kQxa8FqToWkdoNFqU6mdrPYTD1XtiAiouiUVevBSo6jbkN0IiKKbrGp4yDIa0bBhkNe2It+lDCj6CIIAszpU0Qxv7sYVeW/SJQRkRiLUp1IlT+Icq8/si0DkM5pDkREFKVqNzvnSCkioo5HroxBbMpYUcxZvgs+l0WijKKPWp8JnXmAKGYr+hGhAB/mkPRYlOpEKrx+6BQ1P/IUnRoqOf8KEBFRdEqPUUNxUl9Euy8A20kPX4iIqGMwJAyFQh0vilVPQeMCF41lSpsIQaaMbIcCLtgt6yXMiKgaKxKdSKZegyfO6Y7ZZ3fFld2SMSbFLHVKREREjeIOBOsUnBQyGTJixCN+OVqKiKjjEWRymNMni2JeZw7c9myJMoo+CpURxuRRopijdDv8njKJMiKqxqJUJyMIAuI1KgxOMGJgvEHqdIiIiBpkcXmx+LgFr+49gWd/OYZv8+p+ca7d7Jx9pYiIOiZtbC9oDD1EMWvBdwiHAhJlFH0MSedDrow9KRKCtWCNZPkQASxKERERUTvlC4Wwq8yBUk/1CKnaK8gCQFatvlI5HClFRNRhmTMm4+RfYYM+GypLNkuXUJSRyZQwp08SxTyVR+C2H5YoIyIWpYiIiKidStWpIa9pGQWbLwCHX/xEvIteg5MOQbHbB3cg2DYJEhFRm1JqEmFIHCqKVRZvRMDvkCij6KM19YVa30UUsxasQTjEz06SBotSRERE1C4pZTKk1lolNs8pHi2lVciRrFVFtsMAcp2cwkdE1FHFpoyBTF4zSjYc8sNeuFbCjKKLIAgwp08VxQLecjjKtkuUEXV2LEp1ElyZgoiIolFmjEa0Xd8Uvq61pvCx2TkRUcclU2gRm3qhKFZV8Su8VfkSZRR9VLoU6OPPFcXslvUI+qskyog6MxalOol3DuTj/ex8rM4rw29WJ/yhkNQpERERnVamvlZRqp5RUF0N4mNyHCxKERF1ZPqEc6HUJIlidstPEmUTnWJTL4QgqxmNHA56YS/6UcKMqLNiUaoT8ASCyK/y4LjDjfUWKz47UoRgiCOniIio/as9Uiq/yoNQrdG/tZud51d5EeDDFyKiDksQZL83PQcAGQxJI5CQdZmkOUUbuTIGsaljRDFn+S74XBaJMqLOikWpTiCvyoOTv74nalXQKOSS5UNERNRYcWoldCd9ZvlCYZS4faJjTGolYlWKyHYgHEZBlbfNciQioranMXRHbOp4pPa9G+b0yZDJNac/iUQMCcOgUMeLYtaCVWz9Qm2KRalOoHb/jS4x/AebiIiigyAIyIyp1ey8nr5StUdL5bCvFBFRhxebMhpKTYLUaUQtQSaHOX2yKOZ15sJtOyBRRtQZsSjVCdTuv1G7PwcREVF7diZ9pU5wBT4iIqLT0sb2gsbYUxSzFnyHUMgvUUbU2bAo1cGFw+E6S2PX7s9BRETUntXXV6q2OiOlHO46vaeIiIiorurRUjWlgaDfDkfJZukSok6FRakOrtzrhztY0+xVLZchSauSMCMiIqKmyahVlCp2++ANihuZJ2lV0Mhrvta4gyGUesS9p4iIqOMLh8Nwlu+B15kndSpRQ6lJgCFxqChWWfwzAr5KiTKizoRFqQ6uztS9GDVkgiBRNkRERE2nVciRqFFGtsOoO1pKJgjoWmua3+5yR1ukR0RE7YS3Kg/Fhz5ERe4yVOR/i3CYK7E2VmzKWMgUush2OOSHrXCthBlRZ8GiVAdXd+qetoEjiYiI2q/GTOHradSJtn+22GD1sicGEVFn4PeUo/jQR/C5Cqu33RZUle+WNqkoIlNoYEq9UBRzWfdyxBm1OhalOrjaKxSxyTkREUWjDL0GZpUCZ8fpcVFmAvqYYuocMyQxFgalPLIdCIexOr+sLdMkIiKJKDXx0Jn6i2K2oh8RCnLhi8aKiR8MpTZZFLMWrEaYPRqpFbEo1YH5giFYXF5RjE3OiYgoGg1LjMXDg7rh2h6pGJ1iRrJWXecYtVyGyenxotivFU7kOt1tlSYREUnIlD4RgqCIbIcCVbBbfpIwo+giCDKY06eIYj5XIaoq9kiUEXUGLEp1YAUuL06eRR2vViLmpCfIRERE0aKx/RAHJxiRqhMXrL7JLeNTXiKiTkChioUheaQo5ijdCr+nXKKMoo/GkAWtqa8oZitci1DQ28AZRM3DolQHllfryTCn7hERUUcnEwRcnJkgiuVVefBrhVOijIiIqC0Zk0ZCrjTWBMIh2Aq+ky6hKGROmwQINYMZQoEqVHLEGbUSFqU6sLpNzlmUIiKijq+7UYd+tXpOrc4vgz/EVZiIiDo6mVwFU9oEUcxdeQjuyqMSZRR9FGoTjEniEWeVpVvh91ZIlBF1ZCxKdWBd9Bp0M2ihlAmRbSIios5gamYC5CfN+LP5AvjZYpMsHyIiajs68wCoYjJEMVvBGoTDfDjRWMbkUZArDTWBcJAjzqhVsCjVgY1JjcMdfTLw1Lk9cF//LkippyksERFRtPGHQshxuLHRYkUwVH+vqASNCiOSTKLYuqIKOPyBNsiQiIikJAhCnYbdfk8pnGU7JMoo+lSPOJsoirntB+GpPCZRRtRRsSjVCcgFAWk6NeSyxjWJJSIiaq8+OVSIZ3YdxbvZ+ViZVwaLu+HGq+PT4qCV13zV8YXC+L6AzW6JiDoDdUw6YuIGiWL2onUIBlwSZRR96htxZi1YzRFn1KJYlCIiIqKoIROAkwdH5VV5GjxWq5BjQnq8KLajtBJFLq4gRETUGZjSxkOQqSLboaAH9qL1EmYUXRoecbZTooyoI2JRioiIiKJG7ZVk85wNF6UAYHhiLBI0ysh2GMDKvFKEw/VP+yMioo5DrjTAmDxaFHOW7YDPXSJRRtGn/hFnP3LEGbUYFqWIiIgoatReSfZUI6UAQC4TcFFmgih2tNKNg/aqFs+NiIjaH2PSCMhVpsi2NvYsyOSqhk+gOjjijFoTi1IdkNMfQLnHx6fARETU4aTHaHByh8Qyjx/uQPCU55wVG4MeRq0otjKvrMEm6URE1HEIMgXM6ZOh1CQhqecNSOx+FRQnFano9DjijFoTi1Id0J5yB17em4M5u4/jk0OF2G91Sp0SERFRi1DLZUjWip9wn260lCAIuCgzsU4xa2upvRUyJCKi9kYbexZS+twJjaGb1KlELWPSCChU5pMiYVjzV3MgBDUbi1IdUO7vX85dgSCy7VWwev0SZ0RERNRymtpXCgBSdWoMSTSKYmsLyk87yoqIiKKfIAgQBP7q2xyCTAFT+iRRzOs8Drf9kEQZUUfBd2YHVPvLeZdaX96JiIiiWVP7Sv1hYno8VLKa8VLuYAg/FFa0aG5EREQdlTb2LKj14tFmtoI1CIcCEmVEHQGLUh1MpS8Am6/mHwW5UP10mIiIqKOoPVIqv8rTqOkDBqUC41LjRLEtJTaUeXwtmh8REUUPv5cPJxpLEASYM6YAJ02ID/iscJRulS4pinosSnUw+bWeFqfq1FDK+GMmIqKOI1GjgvqkzzZXIISKRk5VH5VigkmliGwHw8CqvLIWz5GIiNq3gNeGsuOLUfTbv+FzFUmdTtRQaZOgTxgiitktPyHoZx9jOjOsVnQwubWm7mXGaBs4koiIKDrJBAHpMeJRwLU//xqilMkwJSNBFPvNVoWjla4Wy4+IiNo3R+l2FB74N1y23wCEYS1gw+6miE0dC5m8ZtRyOOSDrfAHCTOiaMaiVAdTu68G+0kREVFHVPvzrbF9pQBgYJy+Tl+qlXllCPEXEiKiTkGhMgHhmoUuvM5cuG0HpEsoysgVOsSmjhPFqip2w1tVIE1CFNVYlOpAguFwnel7LEoREVFHVLuoVPvz71QEQcDFXcSjpYpcXvxSVtkiuRERUfumje0FjbGnKGYt/A6hEFctbyx9wnlQahJFMY44ozPBolQHUuz2wR+q+UdAr5CL+mYQERF1FBm1HrpYXD4EQo3/ItxFr8XAOL0otqagHN5gqEXyIyKi9s2cPhkn/zoc9NnhKNksXUJRRhDkMKVPFsV8VflwWfdJlBFFKxalOpA8p1u0nanXQBCEBo4mIiKKXgalAuclGDEpPR639k7H38/pBoWsaZ95UzISoDjpc9LhD2KDxdrSqRIRUTuk1CTAkDhUFKss/hkBH0fNNpbW2APa2N6imK3we4SCXNWWGo9FqQ4kz8mpe0RE1Hlc3i0ZF6bFoWesDhqFvMnnm9VKjEoxiWIbLVbYGrmSHxERRbfYlDGQKXSR7XDIz4bdTWRKnwwIJ4048ztQWfKzhBlRtGFRqgPJraq98h6LUkRERKcyLjUO+pMKWv5QGGsKyiXMiIiI2opMoa3TsNtl/RXeqnxpEopCSnUcDIkjRDFH8WYEvDZpEqKow6JUB+EKBFHmqXmyKwBIZ1GKiIjolNRyGSZlxItiu8sddUYfExFRx6SPPxdKTbIoZs1nw+6miE25ADJFTGQ7HA7AVvi9hBlRNGFRqoOo/eU5RaeGWs4fLxER0emcl2BEilYliq3MK+UvJEREnYAgyGDOqNWw21UAl3WvRBlFH5lcDVPaBFHMZfsNHmeORBlRNGHVooNIj1Hjqu7JGJEUi3SdGlnsJ0VERNQoMkHARZniZa1znB7sszolyoiIiNqSxtAN2tg+opitcC0bdjdBTNwgqLSpolj1iDOuakunxqJUB6FXKnBOvBGXdk3CrP5dML1L4ulPIiIiinLBcBiFLi+2ltix+LgFm4ttZ3SdnrE69ImNEcVW5ZfBH+KXaSKizsCcPgkQanoMBv0OVBZvlDCj6CIIAswZU0Uxv9uCqvLd0iREUYNFqQ5KEJq2LDYREVE0+rXcgTf352JZTgl2lTnwm+3MRzdNy0yA7KSPT6s3cMZFLiIiii4KtRnGJHHDbo/zBKdyN4FanwmdeYAoZiv6AaEA+zRSw1iUIiIioqiVWWu6en6VF6Ez/AUiUavC8MRYUezHIiuc/sAZ50dERNHDmDwaMoUeMkUM4rpcguReN/NhfxOZ0iZAEBSR7VDABbtlg4QZUXvHohQRERFFrXi1EtqTFvbwBkMo9Zx5D5AJ6fHQ1Lre9wUVzcqRiIiig0yuRmL3q5HW7z7o4wdDEPjrclMpVLEwJo8SxRyl2+D3lEmUEbV3fJcRERFR1BIEoc5oqdor0jaFTiHH+LQ4UWx7qR3Fbu8ZX5OIiKKHOiYdMrla6jSimiF5JOTKk0ceh2AtWCNZPtS+sShFREREUS0jplZRqqp5vStGJJkQr1ZGtsMAVubyCS8REVFjyGRKmNInimKeyiNw2w9LlBG1ZyxKERERUVTrUruvVDNGSgGAQiZgWmaCKHa40oWDtqpmXZeIiKiz0Jn6QR3TRRSzFqxBOBSUKCNqr1iUIiIioqhWe6SUxe2DLxhq1jX7mmLQzaAVxVbmlSHIVZiIiDqdUNALa8H3sBX+IHUqUUMQBJgzpohiAW85HGXbJcqI2isWpYiIiCiq6RTyOtPt8ps5hU8QBFycmYCT11wq9fiwvdTerOsSEVH0CIfDcJb/gsLf3oSjZBMqSzbB7ymXOq2oodKlIib+XFHMblmPoJ8jj6kGi1JEREQU9Wo3O29uUQoA0mI0ODfBKIp9X1ABd4BTD4iIOoNwOAB70XqEAr8XUcJs2N1UptQLIchqGseHg17Yi9ZJlxC1OyxKERERUdTLbOFm53+YlB4PlaxmvJQrEMS6oooWuTYREbVv9TfsPgx35RGJMoo+cmUMYlPGiGLO8p3wuSwSZUTtDYtSREREFPVqj5TKc3pb5LpGlQJjUs2i2KZiO8o9vha5PhERtW86U3+oYzJFMWvBGoTDHDXbWIbEYVCo40Qxa8FqhNmnkcCiFBEREXUAKVo1FELNiKZKfwB2n79Frj062YxYpSKyHQyHsSqfPUWIiDqDeht2e8rgLNspUUbRR5DJYU6fLIp5nTlw2w5IlBG1JyxKERERUdRTyASk6dSi2CG7q0WurZLLMDkjXhTbb3XiuMPdItcnIqL2TaVLQ0zcOaKYvWgdgoGW+ZzpDDTGXtAYeohi1sLvEAq1zAMkil4sShEREVGH0NVQPYVPADAmxYzB8YYWu/ageAMyYsRFr5W5pQhx6gERUadgShsPQaaKbIeCHtiL1kuYUXSpHnE2GSeXIII+Oxwlm6VLitoFFqWIiIioQxiWGIskjQp39MnA1MwEKGQt9zVHJgi4KDNRFCtwebG73NFi9yAiovZLrtQjNuUCUcxZtgM+d4lEGUUfpSYRhsSholhl8c8I+ColyojaAxaliIiIqEOI16hw/4AuyDJoW+X6WQYtBpj1otia/HL4gqFWuR8REbUvhsThUKhOXvwiDGs+G3Y3RWzKGMgUush2OOSHrXCthBmR1FiUIiIiog5DdlKz89YwNTMB8loN1X+yWFv1nkRE1D4IMgVM6ZNEMa/zONz2QxJlFH1kCi1iUy8UxVzWvfBW5UmUEUmNRSkiIiKiRopTKzEq2SSKbbBYYfcFpEmIiIjalDb2LKj1WaKYrWANwiF+DjSWPn4wlJpkUYwjzjovFqWIiIioQwuFw/ipyIofCita5HrjUs2IUcgj2/5QGN/ll7XItYmIqH2rbtg9BdXLalQL+KxwlO2ULqkoIwiy31/DGj5XIaoqfpUoI5ISi1JERETUYVm9fnxwsADf5pfhh4Jy5Dk9zb6mRiHHxPQ4UWxXuQMFVc2/NhERtX8qbTL0CedVbwhyGJNHQx8/WNqkoozGkAWtqa8oZitci1DQK1FGJBUWpYiIiKhDCoXD+OhQAU443NXbAL44ZmmRxuRDEmORpFWJYt/klXHqARFRJxGbOg4xcYOQ1ncWTGnjIZOrTn8SiZjTJgJCzcjjUMCJyuKNEmZEUmBRioiIiDokmSDg4sxEUazc68e3LTDVTi4IuCgzQRQ74XDjN1tVs69NRETtn1yhQ3zXGVCoTVKnErUUajOMSeeLYpUlW+D3tsx0e4oOLEoRERFRh3WWKQbDEmNFsa0ldhyyN7941Ds2Br1jdaLYt3llCISaPxKLiIioMzAmj4ZcaagJhIOwFXwnXULU5liUIiIiog7toswExKmVotiXx4vhCgSbfe1pmQmiL1MVXj82l9ibfV0iIqLOQCZXwZQ2QRRz2w/CU3lMooyorbEoRURERB2aSi7DVd2TT1onCXD4g1iWU9Lsaydr1RiaJB6J9WNhBar8zS94ERFR9AmHQ3CW70Yo5Jc6laihM58NlS5dFLMWrEY4zJHHnQGLUkRERNThddFrMTbVLIrtrXBiT7mj2deekBYHjbzmK5UnGMLawvJmX5eIiKKLx3Ecluz3UJG7HI6SzVKnEzUEQYA5Y6oo5veUwlm2U6KMqC2xKEVERESdwvi0eKTp1KLYspwS2H3Ne5qtVypwYWqcKLatxI4St69Z1yUioujhLN+NkiML4PdUj8KtLP4ZAV+lxFlFD3VMOmLiBoli9qJ1CAbcEmVEbaXdFKXy8vJw3333YdiwYRg2bBgeeeQRVFScvuv+Tz/9hOuuuw6DBg3C4MGDcfPNN2P37t2tnzARERFFFYVMwJXdk6EQaibyeYIhfHm8BKFwuFnXPj85VtS3KgTg27zSZl2TiIiihy62D2SKmsUvwiE/bIVrJcwo+pjSxkOQqSLboaAbdst6CTOittAuilJWqxU33XQTdu/ejdtvvx233HILfvjhB9xyyy3w+Rp+yrht2zbccccdcDgcePDBBzFr1izk5ubi+uuvx6+//tqGfwIiIiKKBslaNSZnxItiRypd2NrM5uQKmQxTa133oN2Fwy2wyh8REbV/MoUGsakXimIu6154q/Ikyij6yJUGGJNHi2LO0u3wuZvfA5Lar3ZRlJo/fz4sFgs+/vhj3HnnnbjnnnvwxhtvIDs7G0uXLm3wvOeeew6pqan44osvcPPNN+P222/HF198AZ1Oh1dffbXt/gBEREQUNUYmm9DNoBXFVuWXobSZ0+36m/XI0mtEsZV5ZQg2cxQWERFFB338YCg1yaKYNX81wvwcaDRj0gjIVaaTImHYCtbwNezA2kVR6ptvvsGwYcPQo0ePSGzkyJHo1q0bvvnmm3rPsdvtyM7OxtSpU6HV1nyxTEhIwNChQ/HLL7+0et5EREQUfWSCgCu6JUMtq/kapJQJsPsDzbquIAi4qEuiKFbs9mFnKXuKEBF1BoIggzljiijmcxWiqoKzeBpLkClgTp8sinkcx+CuPCRRRtTaJC9K2e125OXloX///nX29e/fH/v27av3PL1ej1WrVuHmm2+us89qtUIul7d0qkRERNRBmNVKTO9aXUDqExuDvw7oip5G3WnOOr2MGA0GxxtEse8KyuEJBpt9bSIiav80hixoTX1FMXvhWoSCXPyisbSxZ0GtzxLFbPlrEA417+ERtU+SF6WKi4sBAMnJyXX2JSYmwul0wuGou1yzXC5HVlZWnfOys7Oxa9cuDB48uHUSJiIiog7h3HgDbu6dhht6pcKgVLTYdSdnxEMpq2mmXhUIYn2htcWuT0RE7Zs5bSIg1AySCAacqCzeKGFG0UUQhN9HnNV8lgZ8VjhKt0qXFLWalvsGdoaqqqobgJ48Be8PanX1ss0ulwsGg6HO/vqu9eijjwIA7rzzzibnEh+vP+0xNpsNpaVlp2zATtQcJa3cx08ul8NoNCA+Pj7yHiOiuhITT/+5Q9EvKcnY4tdMBDC1yoMVRyyR2M8lNkztk4YEHf/dbSy+B4mkx/fhmTIg5B4Ly/EfIhFH6RZ06XUB1Lo4CfOKJgYEq0agNG9zJFJZvBFdeo2EUt3yn93tVWd4D0pelAqFQqc9RiY7/YAut9uNe+65B9nZ2bjrrrswbNiwJudSXu5EKNRwAzW/3wertQQmUwJiY9UQTlpSmqilKBQyBAKnf1+ciXA4jGAwCI+nCkeOHENcXDIUCuXpTyTqZBITDSgtrTtKl6ixzjPGYL1Sjkp/9bS9QCiM/+7JwbU9UyXOLDrwPUgkPb4Pm0dhGAa5YhuCAScAIBwK4Oi+pUjsdqXEmUUPlWkUZIW/IBT0AABCQS+O7l2B+K6XSpxZ2+go70GZTDjlACDJp+/FxMQAALxeb519f8T+OKYhlZWVuPXWW7F161ZcfvnlePDBB1s+UQAOhw16fSxUKg0LUhSVBEGAQqGAXh8Lnc6Aqio23yUiqo8rEERhleeMz1fJZZickSCK7bU6keNwNzc1IiKKAjK5CrFpE0Qxt+0API4T0iQUheQKHWJTx4liVRW74XUVSpMQtQrJi1JpaWkAgNLS0jr7SkpKYDQaodM13Hi0vLwcN954I3bt2oWrr74ac+bMabWCUSDgg1pdd5ohUTTSaGLg9fKXIyKi2g7aqvD6vhwsOFwEd+DMG5SfE29AWq3pet/klSLEZa2JiDqFmLiBUOnSRDFrwWqEw60zK6Ij0iecB6VGvLKtNX8Vwvws7TAkL0oZjUZkZGRg//79dfb99ttvGDBgQIPnOp1O3HbbbThw4ABuvvlm/Otf/2rVEUyhUBAyGVf1o45BLpcjFOJqUEREfwiHw1h2ogQfHy6Ewx+E3R/Aity6D80aSyYIuLiL+It0fpUXv1ZE/1B8IiI6vZqG3TWUmkSEQ36JMoo+giCHKX2yKOaryofLWrd+QNFJ8qIUAEyePBmbN2/G0aNHI7FNmzbh+PHjuOiiixo871//+hcOHDiAG2+8EY8//nhbpMppe9Rh8O8yEZGYIAhQy8VfjXaXO7C3GUWkbgYt+pvFbQhW55fDF+RTciKizkAdkwmd+WyodGlI7n0LErJmQibnohdNoTX2gNbYWxSzFX6PUJCLj3UEkjc6B4A77rgDy5Ytw80334xbb70VXq8XH3zwAfr3748ZM2YAAPLy8rBr1y6ce+65yMzMxNGjR7Fs2TIYDAb07dsXy5Ytq3PdP84lIiIiaoyJ6XE4ZK+CxV3zRXfpiRJ01WthVJ3Z16apGQnItlUh+PtMA7svgJ+LbbgwjSswERF1BnGZF0GQqfhQuBlM6ZPgdhwBfp/6GPRXorJkE0y1ek5R9GkXRam4uDh8+umneP755/HGG29Ao9Fg4sSJeOSRR6BSqQAA27dvx+OPP47nn38emZmZ2LZtGwDA4XA0OEqKRSkiIiJqCoVMhiu7p+Ct3/IQ/L1fhTsYwlcninFTr7Qz+oUiXqPC+UkmbCy2RWLriypwXoLxjAtdREQUPTgyqvmUmngYEofDUbI5EnMUb4I+/hwoVCbpEqNmE8LsEBZRXu5EKNTwy2Gx5CAlpWsbZtT25sx5Gt9++/Vpj5s2bTqeeOLpZt1r5coVeO65Z/DGG+/g3HOHNOta7fmetV1xxSVISUnFm2++V+9+hUKGQKBtpnV0hr/TRGeioyzBS2duQ1EFVuWXi2IzuiZheFLsGV3PHQji5b0n4Drp3/chCUbM7JbcrDw7Kr4HiaTH9yG1N6GgF4W/vYlQoCoS05n6IaHbFRJm1Xo6yntQJhMQH69vcD8fz5HIjBkzMWTIsMj2nj2/YPnyJbj00sswaNDgSDw9PaPZ9xo0aDD+8Y9/ISurW7OvRURE1JJGp5hxwFaFHKcnEluZV4qeRi3iNaomX0+rkGNCWryocfrOskqMSDbVWaGPiIg6j1DADZmCK7w3hkyuhiltPCpyV0RiLttv8DhzoNHzQXu0YlGKRAYMGIgBAwZGtoPBIJYvX4IBAwZiypSGm86fifT0jBYpbhEREbU0mSDgym4peGN/Dny/j6L2h8JYdKwYd/TNgPwMpvENS4zFlhIbSj3Vqy6FAazMLcVtZ6WzzwgRUSfj95TDWrAGAa8VqX3vgiBwlffGiIk7B87SHfC5iyIxa/5qpJx1OwShXazjRk3EnxoRERFRPeI0SlzcJVEUy63y4Kci6xldTy4TcFGm+HrHHG5k26oaOIOIiDqacDgMa8F3KMp+G57Kwwh4y+Ao3SF1WlFDEASYM6aIYn63BVXlu6VJiJqNRSk6Yx9++C7Gjx+J9et/xKWXTsGkSWPw9ddLAQAHD2bjiScexiWXTMbYscMxffokPP30EygpKY6cv3LlCowePQS7du0QbR8+fAhPP/0Epk69EJMmjcHjj/8NRUWFp83H4/HgnXfexBVXXIJx40bgiisuwdtvz4PH4znleevWrcXtt9+ISZPGYMqUsXjggXvx66+7z+g1OXr0CB566D5Mnz4REyaMwq23/hlff113ZciTlZeX4aqrZuCSSyYjN/fEGd2XiIhax5AEI/qYYkSxtYXlKHR5z+h6vWN16GXUiWIr88oQOEVPSyIi6jgEQUAo6ImsIgcAdst6BAMuCbOKLmp9F+jMA0QxW9EP1a8rRR1O32smV/YBlHz6CXyWotMf3IZUKalIuv5G6Pr0bdX7BAIBvPji/+G6626Az+fDwIHn4OjRI7j33tuQkdEFN9xwM9RqDfbu3YPVq1eivLwM8+a9e8prPvbYQ8jK6o677pqFgoJ8LFq0EGVlJXj//U8aPMfv9+PBB+/Fvn17cdFFl6BPn3747bd9+Oyzj/Hrr7sxb967UCjq/nX/5Zed+Oc//44RI0Zi+vQZ8Hjc+PLLRXjggVlYsODzJk0vtNlseOihWYiNNeHGG2+DSqXC99+vxgsvPAuVSo3Jk6fWOcfhcOChh/4Cp9OJefPeRZcuWY2+HxERtT5BEHBZVhJe35cLVyAIAAiGgS+OWTCrXyaUsqY93xMEAdMyE3Bkfy7+KEOVe/3YWmLDqBRzC2dPRETtkSn1Qris+xEO+QAA4aAH9qJ1iMts2XYpHZkpbQLctmyEwwEAQCjggt2yAeb0yRJnRk3FolQzFS+YD39x8ekPbGM+SxGKF8xHtzkvtup9QqEQLr/8Klx//c2R2EsvPQ9BEDBv3jswGqtXKZoxYyb8fj/Wrl2Dykp7JF6fPn36Ys6cuZFtj8eNpUu/RF5eLjIzu9R7zjffLMPevb/i/vsfwlVXXQcAuOyyK9CtW3e89dYbWLFiKS67rO6qDGvXfge1WoMXXngl0s9j6NARePLJR3DoUHaTilI7d25HeXk5XnzxVfTp0w8AcPHFl+Kuu27BsWNH6hzv9XrwyCMPoLi4CK+99jZ69OjZ6HsREVHbMSgVuCwrCZ8dqXkAVeL2YVuJ/YwKSSk6NYYmGrGttDIS+6GwAoMTjNAp2FOEiKijkyv1iE0ZA1vh95GYs2wn9AnnQaXlqqyNoVDFwpg8CnbL+kjMUbIN+vhzodQkSJgZNRWn71GzDR9+vmh79uzHsGjRClHhqarKCbW6enUhl8t9yuuNHz9JtN2zZ28AQEVFeX2HAwA2btyAmJgYzJx5lSh+5ZXXIiYmBj/9tK7e85KSkuByVeG11+bixInjAIAePXpi4cKvcOGFE0+ZZ33XAoC3334Te/b8gmAwCKVSif/851Pcffd9omODwQCefPJR7N27B88//zL6tPKINiIiap7+Zj3OjTcAAGQCMDE9DiOSTWd8vQnp8VCfNMrKHQzhh8KK5qZJRERRwpA4DArVyQ82wrDmr0Y4zOncjWVIHgm50nhSJARrwXeS5UNnhiOlmin5hptR8tkC+BrR86gtqVLTkPTnG9rkXmZznGhbEARUVtrx6acf4ciRIygszIfFUhT5BzZ80vzp+phM4qfOKlX10tvBYLDBc4qKCpGWll5nip5SqURaWjosDUyvvPzyq7Bt2xZ8+eUX+PLLL5Camo5Ro0bj4otnoFev3qfMs7azzx6EK664Bl9++Tl27twGozEWw4aNwOTJ0zBy5GjRsXv3/grZ77+M7N27B4MHn9ekexERUdub3iURzkAQE9PjkRGjada1DEoFxqWZsTq/5oHLlhIbhifGIlGram6qRETUzgkyBUwZk1F27PNIzOs8Abf9IHSmPhJmFj1kMiVM6ZNQfuLLSMxTeRhu+2FoY3tJmBk1BYtSzaTr0xdZzz4ndRqSktXqp7Fp00Y8/vhsxMcn4LzzhmLEiJHo06cvtm3bggULPjrt9c5kWexTPVEIhcJQKpX17ouJ0ePNN9/Dvn178dNP67BlyyYsXvw5vvpqEZ588l/19oE6lQce+BuuvPIarFu3Flu2bMK6dWvx/ferMWPGTDz88N8jxymVSjz77Iv43/8+xccff4gJEyY3aaogERG1PY1Cjpt7p7fY9UYmm7CtxA6r7/d+GGFgVX4ZbuiV1mL3ICKi9ktr7A2NoRs8juORmK3gO2iNPSHI+Kt6Y+hM/eCM2QZvVV4kZi1YA42xOwSBU+KjAafvUYt79dW5yMjIxGefLcYTTzyNa6+9HoMHnwebzdZq90xJSUNhYQECgYAo7vf7UVRUiKSk+udm5+bm4MCB/Rgw4Gzcc89f8PHHC7FgwRcwGAz43/8+bVIOFRXl2LlzO9LTM/DnP9+EefPexbJlqzBw4DlYvnwJnE5n5Nj+/c/G6NFj8NBDjyAQCODll19o+h+aiIiimlImw5RMcd+LA7YqHK3kCkxERJ2BIAgwpU8BUPNQPuCzwlG6VbqkoowgCDBniAcSBLzlcJRulygjaioWpajFVVbakJycCq1WG4kVF1uwYcMPAE49De9MjRp1AaqqqvDVV1+I4kuWLILLVYWRIy+o97zXXnsJjz32EFyuml8AunbNgl5vgFzetLfHN9+swF//eg+ys3+LxGJjTcjIyIQgCHVGlAFA9+49ccUVV2Pbti347rtVTbofERG1L2fSB+Rssx5d9OKpgN/kliLEniJERJ2CSpsEfcIQUcxu+QlBv7OBM6g2lS4VMfGDRTG7ZT2C/iqJMqKm4JhAanEjRozE2rXfYe7c59C3bz8UFBRgxYqlcLs9AACXq+X/cbjkkj9h1aqvMW/eqzh69Aj69OmH7OzfsHLlCvTrNwCXXPKnes+75po/429/ux+zZt2OadOmQ6VSYcOG9SgoyMcttzzTpBymTZuOzz//DI888iAuu+wKJCQk4uDBA1i16htMmzYdOp2u3vNuu+0ufP/9Gsyb9ypGjBgFs7nhlQmJiKj9CYbC+LGoAsVuL67rkdqkaeiCIODizES8faBm2oHF7cOuskoMSeTnARFRZxCbOhYu616EgtW/L4VDPtgKf0B810slzix6mFIvhMv6G8IhLwAgHPTCXrQOcV0uljgzOh2OlKIWN3v245g+fQY2blyPV1+di3Xr1mLq1Ivx+utvAQB27tzR4vdUqVR4/fW3cfXVf8b27Vvxxhsv45dfduKGG27BvHnv1GmA/odhw0bghRdegUajxUcffYB5816Fw2HH00/PwdSpTfsHLCEhAW+88Q7OPnsgli79Eq+88iJ27NiOW2+9E3/72+MNnqfTxeC++x5ARUU53nlnXpPuSURE0ipx+/DOgTz8UFiB/dYq7CyrbPI1MvUaDIoziGJr8svhDZ56YRAiIuoY5AodYlPHiWJVFbvhdbWvxbTaM7lSj9iUMaKYs3wXfC6LRBlRYwlhrjkZUV7uRCjU8MthseQgJaVrG2ZEnZFCIUMg0Da/iPDvNFH9EhMNKC11SJ0GRYEPsvNxzOGObKtkAu7v3xVxmvoX2GiIzevHK3tzEDjpa9m4VDMmZySc4qyOi+9BIunxfdi2wuEgLNnvwe8pjcT0CUMRlzlNwqyiSzgURFH22wh4KyIxtb4rknreeEaLaUmto7wHZTIB8fH6hve3YS5EREREHcplWUlQymq+6PpCYSw6bmlyTyiTWokLUsyi2EaLDTavv0XyJCKi9k0Q5DClTwYAyJVGxHedWaeBN52aIJPD/Ptr+AevMwdue7ZEGVFjsKcU0Sk4nU54vZ7THieTyWE2m097HBERdSzxGhUuykzAspyaJ9s5Tg82WqwYkxrXpGuNSTVjR5kdDn/1giCBcBir88txdY+UFs2ZiIjaJ62xB+K7/gna2D6QyVVSpxOVNMZe0Bh6wOM4GolZC76DxtgTMlnTRjFT22BRiugUXn/9JXz77denPS4lJRWLF69og4yIiKi9GZYYiwO2Khyy16zk+l1BBXrFxiBVp270ddRyGSalx+OrEyWR2J4KB0Ymm5BZa4U+IiLqmGLiBkqdQlQTBAHmjMkoOvAOgOpRy0GfDY6SLYhNqX9FdpIWi1JEp3DddTdi8uTTz+NWqxv/SwcREXUsgiBgZlYyXt+XA/fvzcmD4TAWHbPg3n6ZUMga3y3h3AQjNpfYUeTyRmLf5Jbirr4ZUdkPg4iIqK0pNYkwJA6Do3RrJFZZvBExcYOgUBklzIzqw6IU0Sl069Yd3bp1lzoNIiJq54wqBWZkJeF/R2tW+bG4ffi+oAJTMxvfrFwmCLgoMwEfHiyIxHKrPNhb4cTAeMMpziQiIqI/xKaMQVXFrwgFqxcjCYf8sBWuRULWZRJnRrWx0TkRERFRCxgYZ8CgOHHh6CeLFSdOWp2vMXoYdehrihHFVuWXwR9qm5VZiYiofQkG3KjIXwWvM1fqVKKGTKFFbNqFopjLuhfeqjyJMqKGsChFRERE1EIu7ZoIo7JmIHoYwKLjFniDTSsoTctMwEmL+sHmC2BTsa1lkiQioqgQDofgKN2Oot/ehLN0G6z5qxFu4uqunZk+/lwoNcmiGF/D9odFKSIiIqIWolXIcUW3Wl+AvQF8k1vawBn1S9CoMCLJJIqtK7TC4Q80N0UiIooSvqoCWPO/jUxB87mLUFWxR+KsoocgyGDOmCyK+VyFqKr4VaKMqD4sShERERG1oJ6xOpyfFCuK7SirxAGbs0nXGZ8WB6285quaNxTC9wXlLZIjERG1f2p9JrSmvqKYrfAHhILeBs6g2jSGbvW8hmv5GrYjLEoRERERtbApGQlI0Cgj2walHEqhaV+7dAo5JqTHi2I7SithcfGLNBFRZ2FOmwQI8sh2KOBEZfFGCTOKPua0iXwN2zEWpYiIiIhamEouw1XdUiADcLZZj78O6IqesbomX2d4YqyouBUGsDKvlP0wiIg6CYXaBGPS+aJYZckW+L0VEmUUfRRqc72vYcBrlSgjOhmLUkREREStIEOvwV8GdMG1PVOhU8hPf0I95DIB0zITRLEjlW4ctLtaIkUiIooCxuTRkCv0NYFwELaC76VLKArV9xpaC76TLiGKYFGKRObMeRqjRw857X9z5jzd7HutXLkCo0cPwa5dO5qfeAN27dqB0aOHYOXKFS1yXHtx33134oorLpE6DSIiOo1krbrZ1+gTG4PuBq0o9m1eKYIhjpYiIuoMZHIVTOkTRTG3PRsex3GJMoo+Db+GxyTKiP6gOP0h1JnMmDETQ4YMi2zv2fMLli9fgksvvQyDBg2OxNPTM5p9r0GDBuMf//gXsrK6NftaDcnK6oZ//ONfGDBgYKvdg4iIqDUJgoCLuyTizf25+KMMVerxY1upHecnm6RMjYiI2ojOfDYcpdvgcxVGYtb81UjpcyeEJvYs7KyqX8Pt8LkKIjFr/hq+hhJjUYpEBgwYKCrgBINBLF++BAMGDMSUKRe16L3S0zNapLh1KnFx8S2eNxERUXNV+gLIr/Kgn1l/+oMBpOrUOC/BiB1llZHY2sJynBNvgPYMpwYSEVH0EAQB5oypKD70n0jM7ymBs3wXDAlDJMwselS/hlPqvoZlO2FIHCphZp0by4FEREREbWhvhQOv78vB/45aUOxu/Ep6kzLioZIJkW1XIIQfC9noloios1DHZEBnPlsUsxf+iFDALVFG0Ucdk4GYOPEsGnvROgT5GkqGRSk6Yx9++C7Gjx+J9et/xKWXTsGkSWPw9ddLAQAHD2bjiScexiWXTMbYscMxffokPP30EygpKY6cX7un1B/bhw8fwtNPP4GpUy/EpElj8Pjjf0NRUWF9KdS51rp1a3HllZdiwoRR+PDDd+vtFeV2u/H66y9jxoypmDhxNJ588hE4nc461wwEAnj//bcxc+bFmDBhFO67704cPnwIY8cOx4cfvlvn/rfcch3Gjx+J6dMnYs6cp1FWVnZGr6vFUoQnnngYM2ZMwfjxI3H99Vfis88+RigUavAcl8uFO+64CZMmXYBff919RvclIqLWtzynBAuPWuAOhhAIh7HoWDECjewNZVAqMDY1ThTbXGJDmcfXGqkSEVE7ZEqbAEFWsyprKOiG3bJBwoyiT2y9r+F6CTPq3Dh9r5k8juOoyPsWAe+ZFSBai0KdgLjMadAYWq9fE1BduHnxxf/DddfdAJ/Ph4EDz8HRo0dw7723ISOjC2644Wao1Rrs3bsHq1evRHl5GebNe/eU13zssYeQldUdd901CwUF+Vi0aCHKykrw/vufnDaf5577F6644mro9Xr07z8QwWBAtD8cDuPRRx/E7t27cOmll6Fbt+748ce1eO65p+tc65lnnsSPP36PadOmo0+ffti0aSPuv//uOsWh//znPfznP+9h3LgJuPTSmSgpKcZXX32BX37ZiQ8+WACTyXTavP8QCATwwAP3wePx4Oqr/wy93oDNm3/G22/PQzAYxI033lrnHL/fj7///W84evQI5s59DQMHntPo+xERUdvqqtdiS4k9sl3o8uKHwnJMzkg4xVk1RqeYsK3UDruv+vMtGAZW5ZXh+l5prZIvERG1LwqVEcbkUbAXrYvEHKXboU84D0pN4z5LOjuF0gBj8gWwF/0QiTlLt0Mffy5U2iQJM+ucWJRqpoq8bxDwtr+h8wFvGSryvkFav/ta9T6hUAiXX34Vrr/+5kjspZeehyAImDfvHRiNsQCqG6j7/X6sXbsGlZX2SLw+ffr0xZw5cyPbHo8bS5d+iby8XGRmdjllPmPHXog777w3sl17Zb9NmzZi164duP/+h3DVVdf9ntvlmD37fuzcuS1y3J49v+DHH7/HjTfeGrnezJlX4oknHsGGDT9GjisoyMf8+R/g+utvxt1317zWkyZNwa23Xo9PPvkQ998/+5Q5n+zQoWycOHEczz77Ai68sHp1iEsu+RNmz74fubk5dY4PhUJ45pknsWfPL3juubk47zzOhSYias8Gxunxm1WPvdaaEbrri6zoY4pBF732FGdWU8pkmJIRjy+O1Yw8/s1WhWOVLnQ36lolZyIial8MSefDWf4Lgj47BJkSxuTRUKhMUqcVVYxJI+As34Wgz/Z7JAxbwRok9vgzBEE41anUwjh9j5pt+PDzRduzZz+GRYtWiApPVVVOqNXVy2K7XKeerzt+/CTRds+evQEAFRXlp81l2LARp9y/ZcsmyGQyTJ/+p0hMoVBg5swrRcf9UXi65po/R2KCIODPf76p1nHrEAqFMHr0GNhstsh/cXEJ6NXrLGzatPG0OZ8sISERgiBgwYKPsHXrZvj9fgiCgFdemYcnn3ymzvFz5z6PdevW4pFHnsD5549u0r2IiKjtCYKAGVlJMChrmpOHASw6VgxfsOFp2icbFGdAZoxGFFuZV4ZQuHHTAImIKLrJZEqY0yYhJm4gUvvdh9iUCyDION6kKQSZAuZ08e+dHscxuCsPSZRR58W/uc0Ul3kxKvK/RcDTzqbvaRIQlzGtTe5lNov7WwiCgMpKOz799CMcOXIEhYX5sFiKEP79y3I4fOov3SaTWbStUqkAVK8E2NRcarNYCmE2x0GnEz9N7to1S7Sdl5cHozG2zoiu2scVFOQDAO6+u+60OgBQKpX1xhuSlJSM++77K956ax5mz/4LtFodhgwZivHjJ2H8+EmQy2t+ibFYiiI9vH79dQ+mTZvepHsREZE0dAo5Lu+WjPmHavollnv9+DavDDOyTj9tQBAEXNwlAe8cyI/ECl1e/FLuwHkJxlbJmYiI2heduR905n5SpxHVtLF9oNZnwes8EYnZCr6D1tCDRb42xFe6mTSGbkjre+/pD+zAZDLxgLtNmzbi8cdnIz4+AeedNxQjRoxEnz59sW3bFixY8NFpr9ec4ZK1c6nv2j5f3YawtftEBQKBegtKfxTIas6rLpS98MIrkZFgzfXnP9+ICROmYP36H7B588/Ytm0LfvppPVatWomXX34jcpwgCJg9+zHs3bsHX3+9FNOmXcx+UkREUaJ3bAyGJ8Zia2lNf6mtpXb0Ncegd2zMac/votfi7Dg99lbUTANck1+Gs816qOQcCE9ERHQ6giDAnDEFluz3UD1uGQh4K+Ao3QZj8khpk+tE+K2FWtyrr85FRkYmPvtsMZ544mlce+31GDz4PNhsNqlTQ1paOhyOyjq5FBYW1DnOaq1AVZV4Vb78/FzRdmpqdWPZ5ORkDB06XPRfIOBvcqGqstKOnTu3w2iMxeWXX42XXnoDX3/9PcaNm4CtWzfh6NEjkWOTk1Pwpz9djlmz/oqYmBjMnfscAoHAKa5ORETtybTMBMSrxQ9AvjxeDFfg9CODAWBqRgIUJz3IcfiD2GCxtmiOREREHZlKmwx9wnmimN2yAUF/3dXZqXWwKEUtrrLShuTkVGi1NQ1bi4st2LChenWDxkzDay1jxlwIAFi4cEEkFg6HsWTJYtFxY8eOQygUqhP/6qtFou1Roy4AACxYMD8yPREADh8+iMcem40vvljYpPy2bduCWbPuws8/1yzrqtVq0b17DwD1jwSLi4vHbbfdjePHj4n+XERE1L6p5DJc2T0ZJ48PdviDWHaiRPSZ0hCzWolRySZR7CeLFXafv2UTJSKiqBEOBeFxHJM6jagSmzoOgrymV2M45IOt8IdTnEEtidP3qMWNGDESa9d+h7lzn0Pfvv1QUFCAFSuWwu32AABcrirJcjv33CEYP34SPvvsY5SXl6FfvwHYuHEDDh06IDpu6NARGDXqArzzzpvIzc1B3779sX37VmzduglAzRTD7t174oorrsHixf+D3W7HmDFjUVlZiS+//BxarQ533HFPk/IbNWoMunbNwgsvPIuDB7ORkZGBnJwcfPnlFzjvvKHo1q17vefNnHklvvlmOebP/wATJkxGWlr6Gbw6RETU1rrotRibasa6opoRTnutTvStcOCc+NP3hxqbZsaOskpU/T66yh8KY01+Oa7sntJqORMRUfvkth+GtWANAt4KpPS5EyptstQpRQW5QgdTylhYC1ZHYlUVu6FPHAK1Lk3CzDoHjpSiFjd79uOYPn0GNm5cj1dfnYt169Zi6tSL8frrbwEAdu7cIWl+Tz31LG6++Xbs2rUDb775GsLhEP75zzl1jnvmmedx1VXXYsuWTZg37xU4nQ4888xzAAClsqa31F//OhuzZz8Gm82Kf//7dXz11SIMHDgYb731QZ3G6Kej1Wrx+uv/xpgxF2LNmm/x8ssv4ocfvsNll12B556b2+B5crkcs2c/Cp/Ph5dffrFJ9yQiImmNT4tHmk483Xt5TmmjRjxp5HJMSo8XxX4pdyDf6WnRHImIqH2ryFuJ0mMLEfCWAwjDmr+6UaNuqZo+cQgUmgRRzJq/iq9hGxDCfJUjysudCIUafjkslhykpHRtw4xIKk6nE0qlsk5PqOzsA7j99hvw2GP/wPTpM1rl3gqFDIFA45YFby7+nSaqX2KiAaWlDqnToE6k2O3Fv/fnIXDS17IxKWZMzUw4xVnVQuEw3tyfC4u7ZiGPrnoN7uyT0azFQ6TE9yCR9Pg+jC4u+0GUHftcFEvodhV0pj4SZRR93JVHUHr0v6JYfNeZiIkbIEk+HeU9KJMJiI/XN7y/DXMhihrr1/+ASZMuwN69e0TxtWvXAAD69esvRVpERNRBJWvVmJxRPeJJIQi4KDMhsn06MkHAtFrFqxynB/usbNJKRNRZaI29oTGIW31Y81fD7ymTKKPoozX2hMbYSxSzFX6PULDu6u3UcthTiqgeI0degJgYPf75z7/jssuuRGxsLPbv34uVK1dgypRp6N69Z6Ov5XK54Ha7GnVsfPzpn4gTEVHHNDLZhAqvH8OTYpGsbdrqrb1iY3BWrA4H7TWfN6vyy9DXFANFPYtkEBFRxyIIAszpU1CU/Q6A6lG3Qb8dluz3YMqYDH38eVE7erYtmdMno8hxFAhXz1wJ+itRWbIJptRx0ibWgbEoRVQPs9mMt9/+EP/5z3tYvPh/cDgcSE1NxV13zcK1197QpGstXLgAH330fqOO3bhR2n5bREQkHZkg4NKuSWd8/rTMRBy25+CPCeBWbwCbiu0Yk2pumQSJiKhdU2oToU8cCmfptkgsHA7AmrcSHvsRxHW5BHJljIQZtn9KTTwMicPhKNkciTmKN0EfPxgKVayEmXVcLEoRNSArqxv+9a/nm32dqVMvxsCB5zQ/ISIiolNI0qowLCkWW0rskdiPRRU4N8EAvZJf+YiIOgNz2kSE/E64bL+J4u7KQyjKfgfxXS6FNrZXA2cTAMSmXICqil8RClSvGh8OB2Ar+B4J3S6XOLOOid9QiFpZenoG0tMzpE6DiIiinD8UgvI0U/Empsdjd7kDnmD1eClvMIS1BRWYkXXmI7CIiCh6CDIF4rMuh6aiZ/XqcaGafkihQBVKjy2EPmEITOmTIJMpJcy0/ZLJNTCljUdF7opIzGXbD49zCDR6LhLV0thkgIiIiKgd84dCWJlbijf358EXPPXqrDqFHOPT4kSxbaV2FLu9rZkiERG1I4IgQB9/DlL63AlVTN2H486yHbAcfB8+d4kE2UWHmLhBUGpTRTFr/mqEw22zSnpnwqIUERERUTtV6PLird/ysLHYhlKPD6vzT7+K0ogkE+LVNU+/wwC+zePqS0REnY1SHYfkXjcjNmUsAHGT86DPAZlMJU1iUUAQZDBnTBHF/G4Lqsp3S5NQB8aiFBEREVE7ta3EhmJ3zdSLzSV2HLZXnfIchUzA1Ezxaq6H7C4cOs15RETU8QiCDLGpY5Hc+xYoVDULX8RlToNCbZIusSig0XeBztRfFLMV/YBQ0CNRRh0Ti1JERERE7dS0zESY1eIWoF8eL4E7EDzlef1MMehm0IpiK3PLEAyHWzxHIiJq/9QxGUjpcydi4s6BztQfOvPZUqcUFUzpEyEINZ/DoYALdssGCTPqeFiUIiIiImqn1HIZruyWIpp0UekPYEVO6SnPEwQBF2UmiM4r8fiwvdTe4DlERNSxyeRqxHe9FPFZl0EQhHqP8blLOBLoJApVLAzJI0UxR8k2+D2cFt9SWJQiIiIiaseyDFpckGIWxXZXOLC3wnHK89JjNBicYBDFvi+ogOc0o6yIiKhjE4T6ywChoAelxxaiKPtdeJy5bZxV+2VMHgW50nhSJARrwXeS5dPRsChFRERE1M5NTI9DilbckHbpiRJU+gKnPG9yegKUspqn4a5AED8WWVslRyIiim4Ved8i6LMj6LOj5PDHsBX+gHCYDzJkMiVM6RNFMU/lYbgrj0iUUcfCohSJzJnzNEaPHnLa/+bMebrZ91q5cgVGjx6CXbt2tKtrRZP77rsTV1xxidRpEBFRK1PIZLiqewrkJ023cAdD+OpEMcKn6BNlVCkwptYoq03FNlR4/K2WKxERRR+X/SBc1r0nRcKoLN6I4kMfwe8plyyv9kJn6g91TKYoZs1fw6JdC1Cc/hDqTGbMmIkhQ4ZFtvfs+QXLly/BpZdehkGDBkfi6ekZzb7XoEGD8Y9//AtZWd2afS0iIqKOLkWnxqT0eKzKr+ljccjuwrZSO4YnmRo874IUM7aXVqLSXz2qKhgOY1V+Ga7rmdraKRMRUZTQGnrAkDgcjtKtorjPVQjLwfdgTp+CmPjBDfai6ugEQYA5YwosBz+IxALeMjhKd8CYNFzCzKIfi1IkMmDAQAwYMDCyHQwGsXz5EgwYMBBTplzUovdKT89okeIWERFRZzE6xYRsmxMnnDVNaFfmlaGHUYcEjarec1RyGaZkxGPR8eJIbJ/ViRMON7JqrdBHRESdkyBTwJwxBRpjT5TnLEMo4IzsC4f8qMj7Gu7Kw4jrcgnkCp2EmUpHpUtDTPxgVJX/EonZLesQYx4AuTJGwsyiG6fvEREREUUJmSDgiu4pUJ3UJ8ofCmPRsWIETzGNb1C8Aek6tSj2TW4pQqc4h4iIOh+tsQdS+94NbexZdfa57QdRdOCdTt1LyZR6IQRZzUOgcNALu2WddAl1ACxK0Rn78MN3MX78SKxf/yMuvXQKJk0ag6+/XgoAOHgwG0888TAuuWQyxo4djunTJ+Hpp59ASUnNU9rafaD+2D58+BCefvoJTJ16ISZNGoPHH/8biooKm5xffn4e/u///onLLrsI48aNwLRp4/HIIw/i2LGjouPWrVuL22+/EZMmjcGUKWPxwAP34tdfd4uO+eWXnZg16w5MnToOkyZdgHvuuRUbN26oc8+vv16Km2++DuPHj8T06RPxzDNPnlHuAGCxWPDEEw9jxowpGD9+JK6//kp89tnHCIVCDZ7jcrlwxx03YdKkC+r8GYiIqGOIUysxvUuiKJZX5cGGUzQwlwkCLqp1ToHLiz3lp17Bj4iIOh+5QoeEblchrsslEGRK0b5QwInSo/9FRf4qhEKdrz+hXKlHbMoYUcxZtgs+l0WijKIfp+8109FKF5bnlKC0nTUMTdQocWnXJPQwtu7QykAggBdf/D9cd90N8Pl8GDjwHBw9egT33nsbMjK64IYbboZarcHevXuwevVKlJeXYd68d095zcceewhZWd1x112zUFCQj0WLFqKsrATvv/9Jo/OqqCjHXXfdDJ1Oj8svvwqxsSYcPnwQK1YsRU7OcSxc+BVkMhl++WUn/vnPv2PEiJGYPn0GPB43vvxyER54YBYWLPgc6ekZyM09gUceeQC9ep2FO++chXA4jBUrluLxx2fjzTffx6BB5wAA/v3v17Fw4QKcd94w3Hvv/SgrK8OXX36O7du34v33P0ZqalqTXte//e0v8Hg8uPrqP0OvN2Dz5p/x9tvzEAwGceONt9Y5x+/34+9//xuOHj2CuXNfw8CB5zT6fkREFF3OSzDigK0KB2xVAACzSnHaqXjdDFoMMOuxz1ozJWNNfjn6m/VQyfmckoiIagiCAH38YKhjuqA8Zwl8LvGDdmfpNngdxxGfNRMqbbJEWUrDkDgczvJdCHgrfo+EYS1YjaSeN3banlvNwaJUMy09UYJyb/sqSAFAqcePpSdKMHtgVqveJxQK4fLLr8L1198cib300vMQBAHz5r0DozEWQHUDdb/fj7Vr16Cy0h6J16dPn76YM2duZNvjcWPp0i+Rl5eLzMwujcpr5coVsNvteOutD9G1a1YkrtPF4NNP5+Pw4UM466w+WLv2O6jVGrzwwiuRf0CGDh2BJ598BIcOZSM9PQM//bQebrcbzz33EkwmEwBg4sTJuPvuW3H4cDYGDToHJ04cx//+9ynGjLkQc+b8v8i1LrhgHO6++xa8/fY8/OtfzzcqdwA4dCgbJ04cx7PPvoALL6xefvSSS/6E2bPvR25uTp3jQ6EQnnnmSezZ8wuee24uzjtvaKPvRURE0UcQBFyWlYTcfbnoa4rBRV0SoJHLT3ve1IwEHLBVRab62f0B/GSxYkJ6fGunTEREUUipiUdy71tgt2xApWUjgJpp335PKaoq9kKV3rmKUoJMDnP6ZJQe+18k5nXmwG3Phs7UV8LMohMfi1GzDR9+vmh79uzHsGjRClHhqarKCbW6upeFy+U+5fXGj58k2u7ZszeA6tFPjXX99TdjxYo1ooKU1+uBTFb9V97tdgEAkpKS4HJV4bXX5uLEieMAgB49emLhwq8ixaDExOp/ZF999UVkZx8AAMTGmrBw4Ve44oprAAA//7wB4XAY119/k6g63r//AAwdOgKbNv2EQCDQ6PwTEhIhCAIWLPgIW7duht/vhyAIeOWVeXjyyWfqHD937vNYt24tHnnkCZx//uhG34eIiKKXXqnAXwd0wcxuyY0qSAFAnEaJkckmUWyDxYpKX+M/o4iIqHMRBDlMqRciuddNkKtMkbhSmwJT6jjJ8pKSxtgLGkN3Ucxa8F2nnNLYXBwp1Ux/ykrC8pxSlHp8UqcikqhR4dKuiac/sAWYzXGibUEQUFlpx6effoQjR46gsDAfFksRwr8/lQ2HG+6JBAAmk1m0rVJVN5ILBoNNysvv9+O9997CwYPZKCjIQ1FRYeQaf/Rluvzyq7Bt2xZ8+eUX+PLLL5Camo5Ro0bj4otnoFev6mLY+PETsWHDj1i79jusXfsd4uMTcP75ozBt2nQMGjQYACJ9o7p0yaqTR1ZWFrZt2wy73Yb4+IRG5Z6UlIx77rkf7777JmbP/gu0Wh2GDBmK8eMnYfz4SZCf9MuHxVIU6eX16697MG3a9Ca9TkREFL30yqZ/lbsw1YydZZVwBao/E/2hMNYUlOGKbiktnR4REXUgan0XpPa5C9b8b+Gy/oaErpdBkHXOkoIgCDCnT0FR9jv4Y/RY0GeDo2QLYlMukDa5KNM5/wa1oB5GHR48u6vUaUjqj9FHf9i0aSMef3w24uMTcN55QzFixEj06dMX27ZtwYIFH532ei0xDzc7+wD+8pc7oVZrMGTIMFx88aXo3bsPCgry8corL0aOi4nR480338O+fXvx00/rsGXLJixe/Dm++moRnnzyX5g8eSoUCgX+7/9exNGjR7B+/Q/YsmUTVq5cga+/Xoa77roPN9xwc6TgVp9QqHqfUqls8Jj6XHfdDZg8eSrWr/8Bmzf/jG3btuCnn9Zj1aqVePnlNyLHCYKA2bMfw969e/D110sxbdrF7CdFREQN0ijkmJgeh+U5pZHYL2UOnJ9kQnqMRsLMiIiovZPJ1Yjv+ifEpoyFQm2u95hwOIxwyA+ZXFXv/o5CqU2EPnEonKXbIrHK4o2IiRsEhcooYWbRhdP3qMW9+upcZGRk4rPPFuOJJ57Gtddej8GDz4PNZmuzHN5663UolSosWPAFnn56Dm644RYMH34+nE7xKkO5uTk4cGA/Bgw4G/fc8xd8/PFCLFjwBQwGA/73v08BVK+Ct2fPbvTo0RO33non3ntvPhYvXoGMjC5YuHABACAlpbqJeU7OiTq55ObmQKvVwmBo/D9MlZV27Nq1A0ZjLC6//Gq89NIb+Prr7zFu3ARs3boJR4/WLMOanJyCP/3pcsya9VfExMRg7tznmjRVkIiIOh6r14+fTrEa39DEWCRpTlrSGsDKvLJTPmQhIiL6Q0MFKQBwlGyGJftdeJ15bZiRNEwpYyGT1yw0Eg75YSv8QcKMog+LUtTiKittSE5OhVZb8+YsLrZgw4bqN2dTp+GdCbvdDrPZDLO55h9Lp9OJlSu/FuXw2msv4bHHHoLL5Yoc17VrFvR6A+S/r0S0YMF/8MAD96C0tCRyTFJSMpKSkiKjxEaNqh6i+dlnH4u+0B88mI0dO7bi/PNHN2kE2LZtW3D//Xfj5583RGJarRbdu/cAUHd0GgDExcXjttvuxvHjxyLFMiIi6lzC4TB2llXijX25+Da/DPsqnPUeJxcEXNRFPKX8uMMdWc2PiIjoTPhcFtiKfkDAZ0Xx4fmwFa07bfuWaCZTaBGbeqEo5rL+Cm9VvkQZRR9O36MWN2LESKxd+x3mzn0Offv2Q0FBAVasWAq32wMAcLla/wvviBEj8dlnH+Mf/3gMw4aNQHl5Gb7+ehkqKip+z6G6CHXNNX/G3/52P2bNuh3Tpk2HSqXChg3rUVCQj1tuqW4oPnPmVVi16hvMmnUHZsyYCYPBiJ07t2PXrh24/fa7AQDdu/fAFVdcg8WL/4cHHpiFMWPGoqysDF9+WT3q6u6772tS/qNGjUGXLl3xwgvP4uDBbGRkZCAnJwdffvkFzjtvKLp1617veTNnXolvvlmO+fM/wIQJk5GWln6mLyEREUWhVfll+Mlii2wvzSlBV4MGhnp6T/WOjUHvWB0O2WsezHybV4besTFQyLikNRERNU0o5EdZzldApAgVRqVlAzyVRxGfdRmU6rhTnh+t9Annwlm2A35PzSAGa/4qJPe+rUVa03R0HClFLW727McxffoMbNy4Hq++Ohfr1q3F1KkX4/XX3wIA7Ny5o9VzuPXWO3HttTdg//69ePXVuVi5cgWGDh2O+fM/g0wmw65d2wEAw4aNwAsvvAKNRouPPvoA8+a9CofDjqefnoOpUy8GUL0a32uvvYWMjEwsXPjp7yv1HcODDz6Mm266LXLPv/51Nh566FFYreV4883X8M03yzFmzDh8+OGnTS4OabVavPLKvzFmzIVYs+ZbvPzyi/jhh+9w2WVX4Lnn5jZ4nlwux+zZj8Ln8+Hll19s8DgiIuqYBsUZID/p+68rEMSS4yUNTsublpkg+jJY7vVjS4mtVXMkIqKOSYBQZ0U6APC5CmDJfhfO8l865DRxQZDBnDFFFPO5ClFV8atEGUUXIdwR/1acofJyZ6QpdX0slhykpHTupubU+hQKGQKBthniyr/TRPVLTDSgtNRx+gOJ2qF1hRVYU1Auil2WlYShibH1Hr/sRAm2ltoj2xq5DH8bmAWdQl7v8W2B70Ei6fF9SGfKbT+M8tzlCAXqzpDRxvZBXJfpkCt0EmTWukqPfQG3PTuyLVfokdpvFmRy9Rldr6O8B2UyAfHx+ob3t2EuRERERNTKLkg1o0utVfS+yS1Fhcdf7/ET0uOgltd8JfQEQ/i+VlGLiIiosbSxvZDa525oY3vX2ee2Z8Ny4B24K49KkFnrMqdPAoSaBzrBgBOVxRslzCg6sChF1EZcLhfKy8sa9R8REdGZkgsCruyeDNVJfaF8oTAWHbcgVM8Aeb1SgQtTxX0+tpXYUeL2tXquRETUMcmVMUjodjXiMi+GIFOK9gUDTpQe/QzW/NUIhzrOquEKtRnGpBGiWGXJFgS8Da+GS2x0TtRmFi5cgI8+er9Rx27c2Pp9t4iIqOOK16gwLTMRy3Jqmq7mOD3YaLFiTGrdRrMjk2OxtdQGq7f6l4MQgG/zSnFTby6YQUREZ0YQBOgTzoNan4XynCXwuQpF+x2lW+FxHEd81mVQaZMlyrJlGZNHo6p8D4KB31e/DQdhLfgOid2vkjaxdoxFKaI2MnXqxRg48JzTHieXcwAjERE137BEI7JtThw8aXW97woq0Cs2Bqk6cX8LhUyGqRkJWHjUEokdtLtw2F6FXrExbZYzERF1PEpNPJJ73wJ70XpUFv8MoGbUrt9TgtKj/0Vav79AkEV/eUImVyM2bQIqcpdFYm57NjyO49AYukmYWfsV/T91oiiRnp6B9PSM0x7Xlo3OiYio4xIEAZdlJeON/Tlw/f65EgyHseiYBff2y4RCJn4IMsCsR1e9BjlOTyT2bV4Zehh1kHFJayIiagZBkMOUNh4aYw+U5yxF0FezwIY5Y1qHKEj9ISZuIJxl20Ujw6z5q5HS504IAgcg1MZXhIiIiKiDMqoUmNE1SRSzuH34vqCizrGCIODizMQ6x+4sq2zVHImIqPPQ6Lsitc9d0JnPBgDExA+GztRH4qxaliAIMGdMFcX8nhI4y3ZJlFH7xqIUERERUQd2dpwB58QbRLGfLFYcd7jrHJuh12BwrWPX5JfDEwy2ao5ERNR5yOQaJGRdhoRuV8KcPkXqdFqFOiYDOvNAUcxe9COCgbqfvZ0di1JEREREHdwlXRIRq6yZGhEGsKfcUe+xkzPioTxp5b6qQBDri7hyEBERtSydqS9kclW9+4IBF4oPz4e3Kr+Ns2o5prTxopUHQ0E37Jb1EmbUPrEoRURERNTBaRVyXN69emUjlUzAn7omYUbXxHqPjVUpcUGKWRT72WKD1etv9TyJiIjC4TAqcr+G15mL4kMfwV60HuFw9PXcVaiMMCaPFsWcpdvhd5dKlFH7xKIUERERUSfQ06jDJV0S8Zf+XTAsKRbCKZqXX5BihkEpj2wHwmGszi9rizSJiKiTq6rYDbc9+/etMOyW9Sg+PB8Bb/SN2jUmnQ+5ynRSJAxrwWqEw+GGTul0WJQiIiIi6iTOTzYhXlP/VImTqeUyTM5IEMV+rXAi18leGERE1Lr8nroPQXxV+SjKfhfO8j1RVdARZAqY0yeJYh7HMbgrD0mUUfvDohQRERER1TE43oA0nVoU+ya3DKEo+mWAiIiijzl9EhK7XwOZIkYUD4d8qMhdhrITi6OqYbg2tg/U+q6imK3gO4RDAYkyal9YlCIiIiIiOPziL8cyQcBFmeLRUnlVHuytcLZlWkRE1AlpY3sjtc/d0Bh71dnnth2AJfsdeBzHJcis6QRB+H2VwZpp8wFvBRyl26RLqh1hUYpE5sx5GqNHDzntf3PmPN2i93W5qmC1tswc4T/+DFIpKirE6NFD8OGH70qWAxERUWN5gyEsPVGMV/bm1Glm3t2oQz+T+En1qvwy+EPR13CWiIiii1wZg8Tu18CccREEQSHaF/Q7UHJkAawFa6JixJFKlwJ9wrmimN2yAUE/H/QoTn8IdSYzZszEkCHDItt79vyC5cuX4NJLL8OgQYMj8fT0jBa7Z3b2ATz22EN46qlnYTZLV0wiIiLqbHKdbnxxrBgVvxejFh8vxm1npUN2UhP0aZkJOGivQvD3WXt2XwA/W2wYlxYnRcpERNSJCIIAQ+IQaAxZKDuxBH53kWi/o2QLPI7jiO96GVTaJImybJzYlHGosu5HOOgBUD0d0Vb0I+K7XCJxZtJiUYpEBgwYiAEDBka2g8Egli9fggEDBmLKlIta5Z7Hjh1BWRmXxSQiImprBVXeSEEKAI473Pi52IYLUsyRWLxGhfOTTNhYbIvE1hVV4LxEIwxKfpUkIqLWp9QkIKX3rbBb1qGy+GfRPr+7GMUHP0BSrxuhjmm5wRMtTa6MQWzKWNgKVkdiVeW/wJBwHlS6NAkzkxan7xERERF1UsOTYtHTqBPF1uSXw+LyimIXpsVBp6j52ugLhfFdfnmb5EhERAQAgkwOU9oEJPW8EXKlUbRPqU2OisKOIXEIFGpxv0Zr/uqoWlGwpbEoRWds375f8cAD92LSpDGYNGkMHnxwFn77bZ/omMrKSsyZ8zRmzrwYF154Pq66agbeeedNeL3VX3Y//PBdPPfcMwCA+++/G1dcceqhixZLEZ599h+YPn0ixo8fiZtuuhbLly855TnhcBgfffQ+rr12JsaPH4lLLpmMZ5/9B4qLLWf05163bi1uv/1GTJo0BlOmjMUDD9yLX3/dfcpzdu/ehfHjR+Gee26F2x09K0UQEVHHJhMEXN4tGRp5zVfCYDiMRccsCIRqviBrFXJMSIsXnbuzrBJFtYpXRERErU1jyEJqn7uhMw8AAAgyFeKzLoMgtP/yhiDIYc6YLIp5q/Lgsu2XKCPpccx1Czl0+81ndJ66S1d0feqZevfl/Ouf8ObmnNF1e38w/4zOa6zt27fg4YcfQK9evXHHHXfD5/Nh5coVuO++O/Hqq/+O9J966qnHcPjwQVx55bWIj0/Avn2/4tNP58Nut+PRR5/A2LHjUV5ehuXLl+CGG25B3779G7xnYWEB7rzzZvh8Plx++VWIj4/H+vU/4v/9vznIz8/Fvff+td7zPvnkP/joo/cxc+ZV6NmzJwoLC7Fo0f+QnX0An3zyOeRyeaP/3L/8shP//OffMWLESEyfPgMejxtffrkIDzwwCwsWfF5vr61Dh7Lx6KMPonv3HnjppTeg1WobfT8iIqLWFqtSYEbXJHx+rOZhTZHbh7WF5ZiSUfM0d1hiLLaU2FDqqZ7uFwbwTW4pbjsrHcJJPaiIiIham0yhQULWTFT9vjqfUh09fQ61xp7QGHvBU3k4ErMVfA9t7FmQyZQSZiYNFqWoyUKhEObOfR59+/bHm2++FynqXH751bjlluvw2mtz8dFH/4XVWoEdO7bh3nv/iuuuuwEAcMklf0I4HEZhYQEAoGfPXhgwYCCWL1+CoUOH49xzG250/u67b6Ky0o733/8EZ53VBwAwc+ZVeOyx2Vi48FNMnTod3bv3qHPed9+twogRI/HAA3+LxJKSkrF06ZewWIqa1LR97drvoFZr8MILr0S+gA8dOgJPPvkIDh3KrnOtvLxczJ59P1JS0vDKK/MQE6Nv9L2IiIjayqB4A36zObG3omYVoA1FVvSJjUFXQ/XDFLlMwLTMRHxyuDByzDGHG9n2KvQ18fONiIjaXkzc2afc7yjbAZU2FeqY9DbKqHHM6ZNR5DgKhKtXsw36K1FZ/DNMqeOkTUwC7X98G7U7hw4dRGFhAS64YBwcDgdsNhtsNhu8Xi9GjboAhw8fQklJMWJi9NBqdViyZDHWrVsbmbb297//E6+//laT7hkMBrFp088YNmxEpCAFADKZDDfeeCvC4TB+/nlDvecmJiZh164d+OKLhaioqO5/8ac/XY758//b5FUEk5KS4HJV4bXX5uLEieMAgB49emLhwq9w4YUTRceWlZXioYfuAwC89tq/YTTGNuleREREbWlG1yQYlTWjh8MAFh0vhjcYisTOitWhp1E84vfbvDLRVD8iIqL2wFuVD2vetyg+9BHslp8QDodOf1IbUWriYUgcJoo5ijch4LNLlJF0WJSiJisoyAcAvPXW65g+faLov88//y8AoKSkGCqVCg8//HdYreV48slHcfHFE/DQQ/dh2bKvIj2lGstut8HtdqFLl6519mVldQNQ3W+qPrNmPYDYWBPeeONlzJgxFbfffiPmz/8A5eVlTcoBAC6//Cqcc865+PLLL3D99Vfiyitn4LXX5uLw4UN1jl2xYimKiy2w2azIy8tt8r2IiIjakk4hx8xuyaJYhdePlXk1K+QKgoCLMhNx8mS9Mo8f20o735doIiJqv0JBH8pPLEH1I5YQ7EU/ouTwxwh4rVKnFhGbMgYyRc1iI+FwALaC7yXMSBqcvtdCWqOHU0O9pqQWCgUBALfffjf6969/uGSXLlkAgMmTp2LEiPOxYcM6bN68ETt2bMO2bVuwZMlivPfefKhUqkbd81SrEYRC1RVvpbL++bc9e/bC//63BFu3bsLPP/+ErVs344MP3sH//vcZ3n33I3TtmtWoHAAgJkaPN998D/v27cVPP63Dli2bsHjx5/jqq0V48sl/YfLkqZFjk5KS8eyzL+Lhh/+KuXOfw0cf/RcKBd9yRETUfvWOjcHwpFhsLakpMm0vrUQ/kx5nmWIAACk6NYYkGrG9tDJyzNqCcpwTb4BO0fg+jURERK3FbT+IgE9cgPJW5aEo+13EZV4EnflsyfshyuQamFLHoyLv60jMZdsPj3MINPq6gzE6Ko6UoiZLTa1ealOn02Ho0OGi//R6PUKhENRqNVwuF/bs2Q1AwPTpMzBnzlx8/fX3uPLKa3HkyCFs27al0fc0mczQarXIyanb+D3392bwSUnJdfYFg0EcPJiN4mILRo8ei0cffRJfffUNnnnmeTidjtOu3FffvQ4c2I8BA87GPff8BR9/vBALFnwBg8GA//3vU9GxF198Kfr3H4A777wHx48fw8KFC5p0LyIiIilMy0hAvFr8oOerE8Wo8gcj2xPT46GS1XyZdwdD+LGwos1yJCIiOpWYuLOR0P1q0UgkAAiHfCjPWYryE18hFJB+VfSY+HOg1KaIYtb81e1qqmFrY1GKmqxPn36Ij0/AokWfw+VyReJVVU489dTjeO65ZyCXy3Hs2FHMmnU7vv56WeQYpVKJ3r3PAgDIf19+Wiar/v+pRkPJ5XIMHz4S27dvwcGD2ZF4OBzGZ599DEEQcP75o+ucFwqFcP/9d+GNN14Wxfv3HyDKobFee+0lPPbYQ6I/d9euWdDrDQ1e69JLZ6JPn36YP/+DyNRHIiKi9koll+HK7smiKXoOfxDLc0si2walAuNSxSsdbS6xoczja6MsiYiITk0XexZS+9wNjbFnnX0u234UZb8Lj+NE2yd2EkGQwZwxRRTzuy2oqtgjUUZtj3OJqMkUCgUefPBhPPXU47j11utxySUzoFKpsWLFElgsRXjqqWehUCjQv/8ADBo0GO+//xZKSizo0aMXSkqKsXjx5+jaNQtDhgwHUD0KCgCWLFmM8vJy0RS4k91zz1+wa9cO/OUvd+Hyy69CQkICNmxYh507t+Pqq/+Mbt261zlHqVTiiiuuwccff4jHH/8bhg8/H16vB8uXL4FGo8HFF89o0p/9mmv+jL/97X7MmnU7pk2bDpVKhQ0b1qOgIB+33FL/dEuZTIbZsx/FXXfdgpdffhGvvDKvSfckIiJqa130WoxLjcOPRdWjnxI1SlyQYhYdMyrFhG2ldth8AQBAKFzd9PyGXmltni8REVF95Eo9ErtfC2fZDtgKvkM4HIjsC/orUXLkExiSRsKUeiEEmTRT0DX6rtCZ+sNl2x+J2Qp/QLDHUEnyaWssStEZGTduAl555U188sl/MH/+h5DJBHTv3gMvvPAKRo26AEB1M9Tnn38J//nP+/j555+wfPkSGAwGjBs3HrfffnekB9SQIcMwfvwk/PzzBuzcuR1jx14ItVpd557p6Rl47735eP/9t35vlu5B167d8Nhj/8D06Q0Xl2677S4YjUZ8881y/PvfWyGXy3H22YPwj38826R+UgAwbNgIvPDCK1iw4CN89NEH8Pm86N69B55+eg4mTpzS4Hl9+/bH9OkzsHz5Enz//epTHktERNQejE+LwyF7FbrotZiaGQ+lTDwiWCmTYWpGAv53zBKJHbBV4WilCz2MutqXIyIikoQgCDAkDoVGn4WynCXwuy2i/Y6STfA4jiEh6zIoNYmS5GhKnwi3/WCkaBYKVKHo2Fqo48ZKkk9bEsKnmjPVyZSXOxE6xZLGFksOUlI6T8MxkoZCIUMg0DZziPl3mqh+iYkGlJY6pE6DSHL+UKhOMepk4XAY7x7IR26VJxJL1akxq18mZM1oIMv3IJH0+D6kjigcCsBW9CMcJZvr7BMEBcyZF0MfP0iCzABb0TpUWjaclI8cKX3uhlITL0k+LUUmExAfr294fxvmQkRERERR5FQFKaD66fNFXRJEsSKXF7vKKhs4g4iISDqCTAFz+iQk9bwBcqVRtC8cDkCujJEoM8CYPEqUUzgchK3we8nyaSucvkedntVqRSgUPO1xarUGen3DFV4iIqLOqItei4Fxevxa4YzEvisox9lxBqibuKAIERFRW9AYuiG1z12oyPsGLttvAAB94jBo62mK3lZkMiVMaRNRnvNVJOapPIpwOARB6LifpyxKUad3xx03wmIpOu1x06ZNxxNPPN36CREREbVzJW4fNlqsmNE1CXKZgKkZCfjNWoXA710hHP4gNhRZMSkjuqccEBFRxyVTaBGfdTm01t5wlO2AKW2C1ClBZ+4PZ/kueJ0nAABKbRKAM58OHw1YlKJO76mnnoXX6z3tcQkJ0jS9IyIiai9C4TC2lNixKq8MgXAYRpUCE9PjYVIrMTrFhHVF1sixP1msGJpohEmtlDBjIiKihgmCgJi4gdCZz4bQQC/EoN+JoL8SKl3rry4rCAISu1+DypKfoVELUBjOazCvjoJFKer0Bg48R+oUiIiIosKGIivWFJRHttcVVuCs2Bhk6jUYmxqHHaWVcAaqp8QHwmGsyS/HVT1SpEqXiIioURoq/ITDYZTnLIPHcRyxqeNgTB7Z6lPpZHIVTKkXdprFBjruxEQiIiIialHDkmJhUMoj2yEAi45b4AuGoJbL6kzX213hQJ7TAyIiomjkLNsOj+MogBDsRT+g5MgnCPhsUqfVobAoRURERESNolPIMTMrWRQr8/ixKr8MAHBeghEpWpVo/zd5pQj/3muKiIgoWgT9DtgKxKvfeZ25KMp+F1UVeyXKquNhUYqIiIiIGu0sUwyGJYqX0d5SYsdhexVkgoCLuoh7MOY6PdhrdYKIiCiayJUGxGfNhEyuFcXDQS/Kc5ag7MRXCAU4Gri5WJQiIiIioiaZlpmIuFoNzL88XgxXIIieRh36mGJE+1bnlcEfCrVlikRERM2mM/VBat+7oTH0qLPPZd2Houx34XHmSJBZx8GiFBERERE1iVouw5XdkkWLVFf6g1ieUwIAmJaRANlJO62+ADYV29o0RyIiopYgVxqQ2OM6mNOnAIJctC/ot6Pk8MewFa5FOBSUKMPoxqIUERERETVZV4MWY1LNotivFU7sKXcgUavC8ESTaN+6Qiuc/kAbZkhERNQyBEGAIWk4Us66A0pNcp39lcU/o/jQf+D3lEmQXXRjUYqIiIiIzsiEtHik6tSi2PKcEth9AUxIj4NWXvNV0xsK4fuC8rZOkYiIqMWotElIOes2GJJG1NnncxfBkv0eHGU7uMBHE7AoRSJz5jyN0aOHnPa/OXOebtH7ulxVsFqtZ3Tuhx++i9Gjh6CoqLBFjmsvWuN1JiIiakkKmYAruyVDLtTM1XMHQ/jqeDG0chnGp8WJjt9eWgmLy9vWaRIREbUYQaaAOX0yknpeD7nSINoXDgfgsu6XKLPopJA6AWpfZsyYiSFDhkW29+z5BcuXL8Gll16GQYMGR+Lp6Rktds/s7AN47LGH8NRTz8JsHtLk88eOHY+MjEyYTObTH0xEREQtKkWnxuSMeHybVzNl4XClC1tL7RieZMKWEjvKvX4AQBjAyrwy3NI7DYIgNHBFIiKi9k9j6I6UPnfDmvcNXLbfAACCXIP4rn/iZ1wTsChFIgMGDMSAAQMj28FgEMuXL8GAAQMxZcpFrXLPY8eOoKys9IzP79mzF3r27NWCGREREVFTjEo2IdtWheMOdyRWUOXFiCQB0zIT8OmRokj8SKULh+wunFVrhT4iIqJoI1doEZ91OTQVvWDN/xZxmRdDoYqVOq2owul7RERERNQsMkHAFd2SoZbJoJHLcHX3FFzerboRbF9TDLobtKLjV+aVIhhivw0iIop+giBAHz8Iaf3+ghhz/waPC/qdbZhV9OBIKTpj+/b9ig8+eAf79+8DAAwYcDbuuOMe9Os3IHJMZWUl5s17BTt3bofVWoHExCSMHz8Jt9xyB9RqNT788F189NH7AID7778bKSmpWLx4Rb33mzPnaezfvxdXXHEN3nvvLQDA00/Pwf79e/HRR+9j0aLlSE1NAwAUFOTjrbdex86dOyCXy3DppTOhUNT9615WVoq3334DW7duht/vx+jRYzBu3AQ8/vjf8MYb7+Dcc6unE3q9Xnz88Yf47rtVKC0tQWJiMqZMmYabbroNSqWyya/dL7/sxAcfvIOjRw8jGAyiZ89e+POfb8bo0WMaPOfEieOYNet2GI2x+Pe/30dcXHyT70tERNRazGolru2ZgmStCrGqms9GQRBwUZdE/Ht/Lv4oQ5V6/NhWasf5ySZJciUiImppcmXDI4A9jhMoOfoZTKnjYEg6H4LA8UF/YFGqheT+8q8zOk+pTUVqnzvq3VeU/T787qJ6951Ol8FPndF5jbV9+xY8/PAD6NWrN+644274fD6sXLkC9913J1599d+R/lNPPfUYDh8+iCuvvBbx8QnYt+9XfPrpfNjtdjz66BMYO3Y8ysvLsHz5Etxwwy3o27fhyjIAFBdb8NFH7+PWW+9EWVkp+vUbgP3794qOqagox9133wq/34+rr74OarUaS5YshsNRKTrO5arCrFl3oLy8DFdeeS1MJhNWrFiGzZs3iY4LBoN45JEHsXfvHlx66WXIyspCdvYBfPLJf3Do0EG8+OIrTZoznJt7Ao888gB69ToLd945C+FwGCtWLMXjj8/Gm2++j/POO7fOORaLBQ89dB90Oj1ef/1tFqSIiKhd6h1b/xfyNJ0a5yYYsbOs5rN4bWE5zok3QKuQt1V6REREbS4UcKM8ZykQDsJWuBbuyiOI7/onTvP7HYtS1GShUAhz5z6Pvn37480334NcXv1l8vLLr8Ytt1yH116bi48++i+s1grs2LEN9977V1x33Q0AgEsu+RPC4TAKCwsAVPeDGjBgIJYvX4KhQ4dHRiY1xOv1Yvbsx3DRRZc0eMx//7sANpsVH3ywAGed1QcAMG3adNxww9Wi4774YiEKCvLx6qv/xtChwyP53XDD1aistEeOW716JXbu3IaXX56H4cPPj8T79u2PuXOfw8aN63HBBeMa+eoBP/20Hm63G8899xJMJhMAYOLEybj77ltx+HB2naKU1WrFgw/eCwB44423kZSU3Oh7ERERtReT0uOxt8IB3+/T9lyBEH4srMBFXRIlzoyIiKj1VOR/i6C/5qGM15mDoux3EZd58Smn+3UWHDNGTXbo0EEUFhbgggvGweFwwGazwWazwev1YtSoC3D48CGUlBQjJkYPrVaHJUsWY926tXC7q5uf/v3v/8Trr791xvcfNuz8U+7fsmUT+vTpFylIAYDZHIeJE6eIjtuw4Uf06NEzUpACAJ0uBpdddoXouHXrfoDJZMZZZ/WN/FltNhvOP38U5HI5Nm3a2KT8ExOri0qvvvoisrMPAABiY01YuPArXHHFNaJjXa4q/O1v98NiKcJrr70VmZ5IREQUbaoCQYxJjRPFNpfYUO7xSZQRERFR69OZ+kImF/dWDAc9KD/xJcpOLEUo6JEos/aBI6WoyQoK8gEAb731Ot566/V6jykpKUZSUjIefvjv+H//7//w5JOPQqVS4ZxzzsXYseMxderFUKvVZ3R/s9l8yv0WSyFGjx5bJ961a5ZoOy8vD8OGDT/tcYWF+bDZrJg+fWK99ysutpw64VrGj5+IDRt+xNq132Ht2u8QH5+A888fhWnTpkemPf5h/fofIZPJEAqFkJ19AF26dG3SvYiIiKTmDgSxIqcUuyscuKlXKmJVCth9AQBAMAysyi/Dn3vyoQsREXVMOlNfqHTpqMhdBo/juGify/orvFU5iO96GTT6LhJlKC0WpVpIa/RwaqjXlNRCoSAA4Pbb70b//mfXe0yXLlkAgMmTp2LEiPOxYcM6bN68ETt2bMO2bVuwZMlivPfefKhUqibf/4/pgg0RBAE+X92nrqFQSLQdDAagVNa9v0qlrnVcEBkZXTB79qP13s9gMJ4uZRGFQoH/+78XcfToEaxf/wO2bNmElStX4Ouvl+Guu+7DLbfcGjlWr9fjxRdfw/PPP4M333wVI0aMhNHYtPsRERFJ5bjDjS+OWmD3Vxehlp4oxYVpZizNKY0cs99ahWOVLnQ36qRKk4iIqFUpVEYk9rgejtKtsBWuBcLByL6gz46Swx/DmDwKsaljIQidq9cip+9Rk/0xhUyn02Ho0OGi//R6PUKhENRqNVwuF/bs2Q1AwPTpMzBnzlx8/fX3uPLKa3HkyCFs27alVfJLS0tHXl5OnfgffazEx+XWOS4/XxxLTU1DZaUd5503VPRnHTz4PFRW2qHTaetc41QsFgv27NmNHj164tZb78R7783H4sUrkJHRBQsXLhAde8EF4zBo0Dl44IGHUVFRjnfemdekexEREUmt8veCFADY/QEcd3iQESN+ALQyrwyhcLj2qURERB2GIAgwJo1Aylm3Q6lJqrU3jMrijSg+9BH8nnJJ8pMKi1LUZH369EN8fAIWLfocLpcrEq+qcuKppx7Hc889A7lcjmPHjmLWrNvx9dfLIscolUr07n0WAEAur/7rJ5NV/z/cQl9Gx4y5EMePH8OWLTWr6DmdTqxevVJ03AUXjMOhQ9nYt69m9T6fzyfKFwBGjRqDyko7lixZLIovXboY//zn37F9+7Ym5bdgwX/wwAP3oLS0JBJLSkpGUlJS5LWobcSIkRgz5kKsWLEUe/fuadL9iIiIpNLNoMXoFPG0+z0VDvSttUpfocuL3eWOtkyNiIhIEiptMlLOuh2GxLqtZHyuQlgOvgdn2a4W+/24veP0PWoyhUKBBx98GE899ThuvfV6XHLJDKhUaqxYsQQWSxGeeupZKBQK9O8/AIMGDcb777+FkhILevTohZKSYixe/Dm6ds3CkCHVb0KTqfrL6pIli1FeXo7Jk6c2K79rr70ea9Z8iyeeeBhXXXUdzGYzli37CkC41nE3YPXqlXjwwVm48sprYDKZsWrVN8jNrR5lJQgCgOoV+Vat+hqvvTYXhw5lo2/f/jh27AiWLfsKvXv3wcUXX9qk/GbOvAqrVn2DWbPuwIwZM2EwGLFz53bs2rUDt99+d4Pn3X//bGzbthlz5z6H//znMygUfPsSEVH7Nyk9DofsVSh210yt/7nEhj6xOmTbax5urckvwwCzHio5n5kSEVHHJsgUMGdMgcbYExU5yxAMOCP7wiE/KvK+RnJGLwAG6ZJsI/zUpzMybtwEvPLKm0hKSsL8+R/igw/eRkxMDF544RVMmlRdVBIEAc8//xJmzLgcP/+8Ea+++v+wfPlXGDduPN544x0olUoAPXMlLgAAHQJJREFUwJAhwzB+/CRs3lx9jNfrbVZuOl0M3nrrA4wbNwHLln2F//znPQwaNBg333y76Dij0Yh///t9DB06HIsXf44PP3wHPXv2wu233wMAkX5TKpUKr7/+Nq655nrs3Lkdr7/+EjZt2ojLLrsCr776JjQaTZPy69GjJ1577S1kZGRi4cJP8dprc3HixDE8+ODDuOmm2xo8LyUlBTfddBuOHTuKhQs/beKrQkREJA2FTIaruqdALtTEXIEQvKGw6ItopT+IDRZrm+dHREQkFa2xB1L63g1tbB9R3Jg8CjpD51gERAi3kzFheXl5ePHFF7FtW/VUqHHjxuGxxx5DXFxcq5xXn/JyJ0Khhl8OiyUHKSlc/ayjsNlsMBgMdRqnL1z4Kf7979fw+edLkZ6e0eZ5KRQyBAKh0x/YAvh3mqh+iYkGlJZyKhFRS1pfVIHV+eI+Gb2MOhyurBktpZQJeOjsLPRMN/M9SCQxfhYStZ1wOIyqit2w5q+CQp2AlN63IinZ1CHegzKZgPh4fYP728X8H6vViptuugk+nw+33347gsEgPvzwQxw8eBCLFi1qcIW2Mz2PCADefPNV/PzzT1i6dCXU6urRTsFgED/++D1MJnOkoTsRERE13wUpZmTbqpDj9ERiJ5xuaOUyuIPVD2P8oTDW5JehZ7q5ocsQERF1OIIgQB8/GGp9VyAchiDrPCvwtYui1Pz582GxWLBixQr06NEDADBo0CDccsstWLp0Ka666qoWPY8IAKZMmYbVq1fiL3+5G1OmTAMgYP36H/Dbb/vw6KNPNth0vD6VlXb4/f7THqdUKmE0xjYjayIiougkEwRc0S0Z8/bnwvf7yHR/KAyDWhEpSgHAL+UOnLBVIaahCxEREXVQSnXTZ3xFu3YxfW/ixInIyMjA/PnzRfGpU6ciOTkZH3/8cYue1xBO3+t8tmzZhE8/nY+jR48gEAigR4+euPba6zF27PgmXee+++7E7t27TnvcOeecizfffO+Ux3D6HpH0OGWBqPVsL7VjyYkSUUyvkMMZCEa2e5n1uLlHSmTRESJqe/wsJJJWR3kPtvvpe3a7HXl5eZgyZUqdff3798e6deta9Dyik40YMRIjRoxs9nXuu+9BOByVpz3OYDA2+15ERETRbEiCEQesVci2V0VirpMKUgBw2OrE8txSGJSSf1Ul6rRi7E5UVflOfyARtYosvx8ZMnmHX5VW8k/64uJiAEBycnKdfYmJiXA6nXA4HDAYDC1yHlFr6NOnr9QpEBERRQVBEHBZtyS8vi8Hrt9HBocAaOQyeE6axre1xC5RhkRERO1AQTn6mmJwQ6+O3etY8pJbVVX1UzKtVltnn1qtBgC4XK46+870PCIiIiKSlkGpwJ+61jxYTNOpcWW3ZOm/mBIREbUjh04aVdxRST5SKhQ6fe+c+hpOn+l5p3KqeY4AUFIig0LBr0vU+trq75lMJkNiIkcTEtWH7w2i1nVhogE5Xh9i1Upc0isFCpkMZaEQvj1WLHVqRERE7UK/BGOH/04qeVEqJqZ6bRWv11tn3x+xP45pifNO5XSNzkOhUJs1oKbOqy0bnYdCoQ7RPI+opXWUxpJE7d1FKWYIggBrefWT4NFxBpgEAXYALlfd73hE1HZ0OjXfh0QSyko0oqtCEfXfSdt9o/O0tOr5kaWlpXX2lZSUwGg0QqfTtdh5RERERNQ+1F5dTxAEnB1nYGGYqB3g+5BIWp3lPSh5UcpoNCIjIwP79++vs++3337DgAEDWvQ8IiIiImrf8ipd+PZEMfynGMFen2StCmNT4+rd901uKapqrfLXGCqZgD9l1V1YBwA2FduQX+Vp8jUB4KLMBOjrWV3wgNWJvVbnGV3z/CQTMvWaOnGLy4sNFusZXbOPKQYD4+pOHfEGQ1iWU3JG1+TPKTp+Tt0rqzDEWP/ME/6c2s/Pie+njvtzus3cOQbZSF6UAoDJkyfjk08+wdGjR9GjRw8AwKZNm3D8+HHcdtttLX4eEREREbVfYQDHKt0o9/qbdF5Pow5jU+vf95vVCasv0ORctHJZg7+cHXe4sf8Mf5GamB5fb7zY7cPu8jN7Mt7XFINM1P3lzOEPnPE1Y5WKen85C4bDZ3xN/pyi4+fkE9BgUYo/p/bzc+L7qeP+nAJNfDATrdpFUeqOO+7AsmXLcPPNN+PWW2+F1+vFBx98gP79+2PGjBkAgLy8POzatQvnnnsuMjMzG30eEREREUWHUDiMDUVWrC2sQDDcOb6MExERdWbtoigVFxeHTz/9FM8//zzeeOMNaDQaTJw4EY888ghUKhUAYPv27Xj88cfx/PPPR4pSjTmPmmbOnKfx7bdfn/a4adOm44knnm6x+7pcVfB6fTCbzafNbePGHS1232gwevSQFn+9iYiI2qP9VifWFJRLnQYRERG1kXZRlAKA7t274/33329w/8yZMzFz5swmn0dNM2PGTAwZMiyyvWfPL1i+fAkuvfQyDBo0OBJPT89osXtmZx/AY489hKeeehZm85AWuy4RERFFl7PjDEjQqFClEOCobHrPEkM9vUr+MC0zEf5Q01e3lddqxn6y85Ni0c/UtNWe/xCjkNcb72OKQazqzL6iZ8TUncICAMlaNa7sVv9UnNNJ0tb/oFclE874mvw5RcfPKSPRUD2Xth78ObWfnxPfTx3356SWy+A+o7tFl3ZTlKL2YcCAgRgwYGBkOxgMYvnyJRgwYCCmTLmoVe557NgRlJXVXUWRiIiIOp9Unbp6xSFVy644NCCu4eWoz1R3Y8s3oU3RqZGiU7foNY0qBQYnGFv0mgqZrMWvCfDn1J5+TokJDa/8xZ9T+/k5nQp/TtH9c1LKZS1+r/aoc/wpiYiIiIiIiIioXeFIKTpj+/b9ig8+eAf79+8DAAwYcDbuuOMe9Os3IHJMZWUl5s17BTt3bofVWoHExCSMHz8Jt9xyB9RqNT788F189FH19Mv7778bKSmpWLx4RaNz2LlzO/773wU4cGA/qqqcMJvjMHLkaNxzz/0wGKpXTAiHw5g//wOsWfMtiostiInRY9iw4bjzzllITk6JXGvp0sVYsmQx8vPzoFZrMGjQYNxxxz3o3r1H5BiPx4P58z/A99+vRllZKRISEjFhwmTccssd0GjqHzp6Kr/8shMffPAOjh49jGAwiJ49e+HGG2/B+edf8P/bu/eoqOv8j+MvZgZIB8jVQFcT74JCefkpmtZ6WfV0LI8X0m09uYWZVrqkbmq56m9dK7MUFRFNEEkpr4mCqEez9VJ5SU1NjSSxrUTUH14SUWCY+f3hiT0saII434F5Ps6ZY858hnnL4eX5+ur7/Xxv+54ffjij0aNHyM/vQS1cGKfatcu+iwUAAAAAAK6MUqqSTP4qo0Lvq1/TW2NCAst8LebEj8rKy6/Q132nY4sKve9uffXVPk2YMFYtWrTUSy+9rIKCAm3enKoxY0Zq7tyFxftPTZv2hjIyvtPgwX9WnToP6fjxY0pKStTVq1c1adLf1a1bT+Xk/J9SUpI1bFiEWrUKuesZDhzYp9dfj9Qjj7TRiy+Okslk0oED+5SSkiybzabJk/9XkrR8eYKWLYvToEFD1Lx5c2VlZWnt2lVKT/9Wy5evltls1rZtWzR79rt68smnFB7+J125cllr1qxUZOQorVq1QT4+PiosLNS4ca/q+PFv1LdvPwUHt9bJk8f10Ucf6tixI1qw4ANZLHcfqR9//EETJ45VixZBGjlytBwOh1JTN2jixPGKiYlTmzZtS70nOztb48ePUc2aPpo/fxGFFAAAAACgyqKUQrnZ7Xa9//5MtWoVopiYJTKbb21YFx7+J0VEDNW8ee9r2bKPdfnyJR08eECvvvqahg4dJknq12+AHA6HsrLOSpKaN2+h0NBHlZKSrI4dO6l9+7vf6Hz16o8VEFBX8+bFytPTU5I0cOAzGjUqQjt3flZcSm3fvlWdO3fR2LGvF783IKCuNmz4RNnZ59SgwcPatm2LmjRpqilTphevadGipRYujFZm5vd69NG2SkvbqG++OabIyPEaMmRo8ec1adJUsbHRSk3doIEDn7nr+ffs2aUbN27onXdmq1atWpKkXr366JVXXlRGRnqpUury5csaN+5VSVJ09CIFBFRskz0AAAAAAFwBe0qh3E6d+k5ZWWf1xBPdde3aNV25ckVXrlxRfn6+unZ9QhkZp3ThwnlZrT6qUaOmkpPXaefOHbpx49a9AyZP/l/Nnx97z3O8995cLV26oriQkqSrV6/IarXqxo284uf8/QN0+PBBrVmzUpcu3brN9IAB4UpM/Lj4LoL+/nX144//VkLCEp07lyVJeuyxx5WUtEaPPtpWkvT557tltVo1aNCQEnMMHvxnWa1W7dmzs1zz+/vfKpXmzp2l9PRvJUkPPlhLa9Yk65lnni2xNi/vul5/PVLZ2ec0b16sfv/7+uX6LAAAAAAAXA1nSqHczp79WZIUGztfsbHzy1xz4cJ5BQTU1YQJk/Xee29pypRJ8vLyUtu27dWtW089+eRT8va+tzssmM1mZWWdVVzcYv3wQ6bOnv1ZFy9eKLVu9OixmjRpnKKj52jBgigFBbXS44//Qf36DVCdOg9JkiIiRujEiWNKSFiihIQlaty4afGaX4urc+eyVL9+g1KX6Hl6eqp+/QbKzj5Xrvl79uyl3bv/pR07tmvHju2qU+chPfZYVz39dD+FhrYtsXbXrn/JZDLJbrcrPf1bBQY2KtdnAQAAAADgaiilKsn92MPpdntNGc1uL5IkjRjxskJCHilzTWBgY0lSnz5PqnPnx7R7907t3fu5Dh48oAMH9ik5eZ2WLEmUl5dXhefYsOETzZ49U4GBjdSmTTt169ZTrVuH6pNPVmvbti3F65o3b6FVq5K1f/+X+uKLPdq/f6/i4xdr1aqP9MEHy9SoUWMFBNRVYuJKHT58UJ9/vkv79u1VUlKiVq/+SFFRMWrX7n/kcDju8D1xlDhj625YLBa99dYsnT79vXbt+kz79n2pzZtTtWnTRo0aNUbDhr1QvNbHx0ezZs3TzJnTFRMzV507d5GfX+XfjhQAAAAAAGfh8j2U26+XjtWsWVMdO3Yq8fDx8ZHdbpe3t7fy8vJ09OgRSR56+un+evvt97Vp06caPPjP+v77UzpwYF+FZ8jPz1dMzFy1b99By5ev1qRJUzR48LMKCQnV5cuXitcVFRXpu+/Sdf58th5/vJsmTZqi9evTNH36TOXmXlNKSrIk6fTp73XmTKY6dAjT2LETtGrVesXGxsvhcGjdulWSpHr16isr66xsNluJWQoLC3XuXFa593jKzs7W0aNH1KxZcw0fPlJLliRq3bpUNWwYqJUrV5RY+8QT3dWmTVuNHTtBly7laPHiBRX5tgEAAAAA4DIopVBuwcGtVafOQ1q7drXy8v6zd9P167maNu1NvfPOdJnNZmVmntbo0SO0adPG4jWenp5q2TJIkmQ23/rxM5lu/XqnM5H+W35+vm7evKmGDQNLXE6XkfGdjhw5LEmy2Wyy2+2KjByl6Og5Jd4fEhJaYoapUydpxoxpKioqKl7TsmWwPD09ZTLd2si9a9cndP36da1fv6bE10pOXqu8vOvq0uWJu55fklasSNDYsa+UuOQwIKCuAgICir8n/61z5y76wx96KDV1g7755mi5Pg8AAAAAAFfC5XsoN4vFonHjJmjatDc1fPhz6tevv7y8vJWamqzs7HOaNm2GLBaLQkJC1aZNO8XFxerChWw1a9ZCFy6c17p1q9WoUWN16NBJklSr1u8kScnJ65STk6M+fZ78zRn8/PzUunWo0tJSZLVaFRjYSJmZp5WaulEeHrcKnby8PPn5+emZZ57Vhx8u1Ztvvq5OnR5Tfv5NpaQk64EHHtBTT/WXJA0dOkzvvvuWXnvtFfXo0UuSQ1u3blZBQUHxHfX69RugrVs3acGCuTp9+nsFB7dWevpJbd6cqtatQ9Wv34ByfR8HDRqirVvTNHr0S+rff5B8ff106NBXOnTooEaMePm274uM/JsOHNir999/RwkJH5Xa4woAAAAAgKqAf82iQrp3/6OiomK0fHmCEhOXymTyUNOmzfTuu1Hq2vXWGUMeHh6aOXO2EhLi9MUXe5SSkixfX191795TI0a8XLwHU4cOYerZs7e++GK3Dh36St269birTdBnzHhXCxbMVVpaigoKClWvXj0999zzaty4if7+94k6fPgrde/+R7344ij5+fkpLS1FCxful9ls1iOPtNHUqTPUqFFjSdLTTw+Q2WzRunWrtWTJQtntdgUFtdLs2fPVvn0HSZKXl5fmz1+khIQ4ffbZdm3btkX+/gEaNixCzz8/vNzlULNmzTVvXqyWLYvTypVJysu7roYNA/W3v03UgAGDb/u+evXq6fnnX9QHHyzUypVJJfaeAgAAAACgqvBwlOeaqWouJydXdvvtvx3Z2f9WvXrc9Qz3l8Viks1md8pn8TMNlM3f31cXL14zegzAbZFBwHjkEDBWdcmgyeShOnV8bv+6E2cBAAAAAAAAJHH5HlCpfvnlqgoLC39znaenp/z8HnTCRAAAAAAAuCZKKaASTZ48ofjuf3fStm17xcQsccJEAAAAAAC4JkopoBKNGTNO16798pvrfH39nDANAAAAAACui1IKqETBwa2MHgEAAAAAgCqBjc4BAAAAAADgdJRS5eRwOIweAagU/CwDAAAAAIxEKVUOJpNZdnuR0WMAlaKoqEgmk9noMQAAAAAAbopSqhwsFi/l598wegygUty8eV3e3jWMHgMAAAAA4KYopcrB17eWcnOvqqDgJpc+oUpyOByy2WzKzb2qvLxrslq5CyAAAAAAwBjcfa8cPD295Ov7O/3yyyXZbIVGj4NqymQyyW6338evb5a3dw3Vrl1XFovnffscAAAAAADuhFKqnGrUsKpGDavRY6Aa8/f31cWL14weAwAAAACA+4rL9wAAAAAAAOB0lFIAAAAAAABwOkopAAAAAAAAOB2lFAAAAAAAAJyOUgoAAAAAAABORykFAAAAAAAAp7MYPYArMZk8jB4BkMTPIuAKyCFgLDIIGI8cAsaqDhn8rT+Dh8PhcDhpFgAAAAAAAEASl+8BAAAAAADAAJRSAAAAAAAAcDpKKQAAAAAAADgdpRQAAAAAAACcjlIKAAAAAAAATkcpBQAAAAAAAKejlAIAAAAAAIDTUUoBAAAAAADA6SilgCosJSVFffr0Ubt27RQeHq5Dhw4ZPRLgtrZs2aKhQ4caPQbgdsge4HwcgwLGW7p0qUJDQ9WuXbvix/nz540eq9wopYAqKjMzU//4xz8UFRWlr7/+WkOGDNFrr71m9FiA2ykqKlJCQoImTJggh8Nh9DiA2yB7gDE4BgVcw7fffqtJkybp66+/Ln7UrVvX6LHKjVIKqKKaNm2qPXv2KDQ0VAUFBbp69apq1apl9FiA25k9e7Z27NihkSNHGj0K4FbIHmAMjkEB15Cenq7g4GCjx7hnFqMHAFBxVqtVJ0+eVHh4uMxmsxYvXmz0SIDbiYiIUEBAgNavX2/0KIBbIXuAcTgGBYyVn5+vM2fOKD4+XpGRkfL399f48ePVvXt3o0crN86UAlzY1q1bFRQUVOrxxhtvFK9p0aKFjh07punTpysyMlI5OTkGTgxUP7+Vw4CAAIMnBNwT2QOMxTEoYJycnBy1a9dOzz33nHbt2qVx48Zp3LhxOn36tNGjlRtnSgEurHfv3jp8+HCp5z09PUv9d3h4uBITE7V//3717dvXaTMC1d3d5BAAAHfDMShgnPr16yspKan49z169FCnTp20e/duNWvWzMDJyo8zpQAXZjabZbVaSz28vLy0c+fOUvtoFBQUyNfX16BpgerpTjkEAMDdcAwKGC89PV1xcXElnisoKKiSx6eUUkAVFRISosOHD2vr1q2y2WxKSkqSzWZTx44djR4NAAAA1RTHoIDxrFarFi5cqB07dshut2vLli06cuSIevfubfRo5UYpBdxnU6ZM0bBhw8p87aefftKYMWMUFhamsLAwTZw4UZcuXbqrr+vv76+YmBjFxsaqU6dO2r59u+Li4vTAAw9U5vhAtXC/cgig4sglYJx7yR/HoEDluJccNmzYUHPmzFFUVJTat2+vxYsXa9GiRVVyv0UPh8PhMHoIoLpau3atpkyZorCwMK1YsaLEa5cvX1Z4eLgKCgr0l7/8RUVFRVq6dKkaNGigtWvXVslTLwFXRA4B10MuAeOQP8B45PA/2OgcuA+Kioq0aNEixcTE3HZNYmKisrOzlZqaWrwZXZs2bRQREaENGzZoyJAhzhoXqJbIIeB6yCVgHPIHGI8clsble0Aly8/P18CBA7VgwQL1799fdevWLXNdWlqawsLCStwdoUuXLmrSpInS0tKcNS5QLZFDwPWQS8A45A8wHjksG6UUUMny8/OVm5uruXPnatasWbJYSp+QePXqVf30008KCQkp9VpISIiOHz/ujFGBaoscAq6HXALGIX+A8chh2bh8D6hkPj4+2rZtW5l/yfzq/PnzklRmO+7v76/c3Fxdu3aNW+sCFUQOAddDLgHjkD/AeOSwbJwpBVQyk8l0x79oJOn69euSpBo1apR6zdvbW5KUl5dX+cMBboIcAq6HXALGIX+A8chh2SilAAPY7fbfXGMyEU/gfiKHgOshl4BxyB9gPHfMYfX60wBVhNVqlXTruuL/9utzv64BcH+QQ8D1kEvAOOQPMJ475pBSCjBA/fr1JUkXL14s9dqFCxfk5+enmjVrOnsswK2QQ8D1kEvAOOQPMJ475pBSCjCAn5+fHn74YZ04caLUaydPnlRoaKgBUwHuhRwCrodcAsYhf4Dx3DGHlFKAQfr06aO9e/fq9OnTxc99+eWXOnPmjPr27WvgZID7IIeA6yGXgHHIH2A8d8vhnbd+B3DfvPTSS9q4caNeeOEFDR8+XPn5+YqPj1dISIj69+9v9HiAWyCHgOshl4BxyB9gPHfLIWdKAQapXbu2kpKSFBwcrOjoaH344Yfq1auX4uPj5eXlZfR4gFsgh4DrIZeAccgfYDx3y6GHw+FwGD0EAAAAAAAA3AtnSgEAAAAAAMDpKKUAAAAAAADgdJRSAAAAAAAAcDpKKQAAAAAAADgdpRQAAAAAAACcjlIKAAAAAAAATkcpBQAAAAAAAKejlAIAAAAAAIDTUUoBAABUEc8++6xCQ0M1ZMgQ/fzzz0aPAwAAcE8opQAAAKqIiIgIDRgwQEePHlVCQoLR4wAAANwTD4fD4TB6CAAAANwdm82mjh07qmXLllq9erXR4wAAAFQYZ0oBAABUIRaLRS1bttSpU6fE/1sEAABVGaUUAABAFeJwOFRYWKi8vDz2lQIAAFUapRQAAEAV8vHHH+vEiROSpFOnThk8DQAAQMVRSgEAAFQR58+fV1RUlPz9/SVRSgEAgKqNUgoAAKCKmDFjhmw2m6KjoyVRSgEAgKqNUgoAAKAK+PTTT7V9+3b99a9/Vfv27VWnTh1lZGQYPRYAAECFUUoBAAC4uNzcXP3zn/9USEiIIiIiJElBQUE6c+aMCgoKDJ4OAACgYiilAAAAXNycOXOUk5Ojt99+W2azWdKtUspmsykzM9Pg6QAAACqGUgoAAMCFHTlyRKtWrdLw4cPVqlWr4ueDgoIksa8UAACouiilAAAAXFRhYaGmTp2qwMBAjRkzpsRrlFIAAKCqsxg9AAAAAMoWHx+vjIwMLV++XN7e3iVea968uSwWC6UUAACosjwcDofD6CEAAAAAAADgXrh8DwAAAAAAAE5HKQUAAAAAAACno5QCAAAAAACA01FKAQAAAAAAwOkopQAAAAAAAOB0lFIAAAAAAABwOkopAAAAAAAAOB2lFAAAAAAAAJyOUgoAAAAAAABORykFAAAAAAAAp/t/6mrqSW2xS0kAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -4125,17 +4116,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":9: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3980313467.py:9: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
       "  ax = fig.gca(projection='3d')\n",
-      ":37: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94529/3980313467.py:37: MatplotlibDeprecationWarning: Auto-removal of grids by pcolor() and pcolormesh() is deprecated since 3.5 and will be removed two minor releases later; please call grid(False) first.\n",
       "  fig.colorbar(surf, shrink=0.5, aspect=5)\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -4444,7 +4435,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mscipy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmisc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "Input \u001b[0;32mIn [31]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mscipy\u001b[49m\u001b[38;5;241m.\u001b[39mmisc\u001b[38;5;241m.\u001b[39mimread\n",
       "\u001b[0;31mNameError\u001b[0m: name 'scipy' is not defined"
      ]
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_107_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_107_1.png
index b19ce68ff..a1fd46ceb 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_107_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_107_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_115_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_115_1.png
index f0739f90b..3821ce9f2 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_115_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_115_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_117_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_117_1.png
index 777ddf65d..d9db967e6 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_117_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_117_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_148_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_148_1.png
index 725c516ea..1cd6fa01c 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_148_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_148_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_166_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_166_1.png
index 65fecb046..a3695e94e 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_166_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_166_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_169_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_169_1.png
index 4734554a7..488c7bbf2 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_169_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_169_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_173_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_173_1.png
index 2bbd1309d..685fe5624 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_173_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_173_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_175_13.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_175_13.png
index 12c31bd32..5e75c686c 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_175_13.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_175_13.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_177_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_177_0.png
index cb743e5e0..cda5e8387 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_177_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_177_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_181_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_181_1.png
index e8ce7f873..f87314e8e 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_181_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_181_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_47_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_47_0.png
index 7c3e58057..ceae92705 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_47_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_47_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_61_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_61_1.png
index c514bcc01..733118952 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_61_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_61_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_62_2.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_62_2.png
new file mode 100644
index 000000000..0a1c6cc0b
Binary files /dev/null and b/doc/LectureNotes/_build/jupyter_execute/chapter3_62_2.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_64_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_64_1.png
index 3d8acee6a..235dc7cd4 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_64_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_64_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_65_7.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_65_7.png
new file mode 100644
index 000000000..91df5a9db
Binary files /dev/null and b/doc/LectureNotes/_build/jupyter_execute/chapter3_65_7.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_71_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_71_0.png
index 29304c20b..72bf297aa 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_71_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_71_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter3_73_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter3_73_1.png
index a7d3b8edd..9984ffd4f 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter3_73_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter3_73_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter4.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter4.ipynb
index f1e01fe12..d9e89993b 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter4.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter4.ipynb
@@ -278,9 +278,9 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -367,9 +367,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -470,9 +470,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -484,9 +484,9 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -498,9 +498,9 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -983,9 +983,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAscAAAWYCAYAAABaiWuCAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOzdd1gUV9sG8HtZiggoUgQrigVbEI2xd1M0xsabxEpiSaxoTCzYsSQqxhaskBhj1LwxUcGa2BLLq4JGBcUWRRRQQaSI9Ha+P1jmE2Vxga1w/67L63JnZ2eec3Z49tkzZ2ZlQggBIiIiIiKCka4DICIiIiLSFyyOiYiIiIgUWBwTERERESmwOCYiIiIiUmBxTERERESkwOKYiIiIiEiBxTHRa2zatAmdOnXCunXrpGX9+vXDgwcPdBgVERERaQKLY6LXmDBhArp06VJo2c6dO+Hk5KSjiIiI9M+6deswa9YstWyrZ8+eCA4OVsu2iEqKxTFRKVSpUkXXIRAREZEGGOs6ACo/du3aBT8/P7Rs2RJWVla4fPkymjRpAk9PT6xevRo3b97EyJEjMXz4cABAdnY2Vq9ejStXrkAmk6FTp06YNGkSZDIZ7ty5Ax8fH2RkZCA7Oxvu7u4YPHgwAMDT0xOnTp3C5MmTERISgjt37hTa7ouuXr2K+fPn4/nz5xg2bBiOHz+OK1eu4Pbt29iwYQNOnz4NMzMzmJubY/HixXBwcAAAREZGYtasWcjNzYWzszMyMjKkbS5fvhy7d+/GnDlz0LNnT4wdOxahoaG4ffs2oqKi4OnpiefPn+Ovv/4CABw/fhzff/89KlWqBCMjI0yZMgWtWrXS9NtBROWUPubaw4cPIyAgAJmZmfDw8EDHjh0xYcIEREZGYuHChcjKykJeXh6mT5+O1q1bY/ny5fjll19Qo0YN7N27F1OmTMGdO3fw1VdfITg4GHFxcVi6dCmqVKkCLy8vLF68WGmeffToEaZOnYrQ0FAsW7YMgYGB+Oeff3D06FGYm5vD29sbiYmJyM3NxWeffYa3335bq+8XGSBBpEa+vr6ia9euIjk5WWRmZooOHTqIuXPniry8PBEWFibc3NxEdna2EEKIjRs3Cg8PD5GTkyOysrLE4MGDRWBgoBBCiJCQEBESEiKEECIrK0v07t1bRERESPvp0aOH8Pb2FkIIERoaWmi7LwsKChLNmzcXZ8+eFUIIsXz5ciGEED///LPIy8sTQgixZ88eMX36dOk1H374odi8ebMQQoiYmBjx1ltvCV9fX+n5ESNGiD179gghhIiKihKNGzcutL8ePXpIj9u3by/i4uKEEEIcO3as0HaIiEpDH3Otr6+v8PLykh7n5OSI3r17i99//10IIcTNmzdF27ZtxfPnz4UQQvj5+Ql3d3eRk5Mjli1bJm7evFlov0FBQdLj1+XZgucDAgKEEEJs2bJFxMbGilGjRom1a9cKIYSIjY0Vbdu2FVFRUap3NFVInFZBaufq6gorKyuYmprCyckJLi4ukMlkcHFxQVpaGuLj4wEAAQEBGDRoEORyOUxMTNC7d2/s378fAODk5ITdu3djyJAhGD16NOLi4nDjxo1C+ymYB/zydotibm6Ojh07AgC8vLwAADVq1MAnn3yC4cOHY9u2bbh+/ToA4OHDh7h69Sr69+8PAHBwcEDr1q1L3R9Vq1bFb7/9huTkZGmkmYiorPQx174oJCQEUVFRGDBgAACgSZMmcHBwwMmTJwEAY8aMAQBMmzYNlpaWaNKkSZn7pFevXgCA0aNHQwiBs2fP4sMPPwQAVK9eHa1bt8ahQ4fKvB8q3zitgtTOwsJC+r+xsbH02Ng4/3DLzs4GAMTExGDr1q3Yu3cvACA1NVWay7t8+XIkJydj586dkMvl8PDwKDS1AQAsLS0BAGZmZoW2WxQrK6tCj+/fv4+pU6fil19+gaurK4KDgzF79mwAQFxcHACgWrVq0vrW1tYl6IHCtm7dis2bN6NPnz548803MWPGDNSpU6fU2yMiAvQz174oNjYWQH6hWiArKwvPnz8HAMjlcsyePRvDhw+XivWyejHXx8TEAMgfEJHJZACAxMRENG7cWC37ovKLxTHpTI0aNTBhwgT06dMHAJCXl4fk5GQA+XOFhw0bBrlcDkD1ZKyqGzduwMLCAq6urgCAnJwc6Tl7e3sAQEJCAmrWrAkASEpKQq1atYrclomJCYD8pG9qaiol/gJyuRyLFi3C7Nmz4ePjg9mzZ2PHjh1qbQ8RkTK6yrWOjo4wMTHB9u3bpWVpaWkwMvr/k9YHDhzARx99BG9vb/zyyy+FnnvR6/Kssv0DgK+vL2xsbAAAmZmZhfI9UVFUmlZx69YtTcdBFdCgQYNw8OBB5ObmAsg/9bd582YAQN26dREaGgoAePLkCW7fvq3WfTs5OSE5ORkREREAgDNnzkjP1apVC66urti3bx+A/NGPCxcuKN2Wra0tzM3N8e+//wIATp8+Xej58ePHIzc3F5UqVYKrq6vUXiIibdBWrrWwsEB6ejqEEJg0aRJatmyJGjVq4OjRowDyByEmTZqE+/fvAwBOnTqF+vXrw9vbG+np6fj5558LbSsjIwNBQUHYtm3ba/NsURwcHNC5c2cplwOAt7c3bxFHryUTQojXrdSvXz9MmzYN3bt310JIZKgOHDiANWvWIDMzE5MmTUJCQgJ++ukn2NnZYdmyZdiyZQuOHTuGli1bwt/fHxYWFvjuu+9w4cIFmJmZwdHREYsXL4a5uTnCw8MxY8YMmJiYwNnZGWFhYcjOzoa3tzcCAgLwxx9/wNnZGevXr4ePj0+h7b44BeLu3buYNm0a7t27Bzc3N6xbt056fu3atdi/fz9cXFxgb2+PgIAA9OnTBytWrEBkZCS8vLyQm5uL2rVrIysrCzdu3MC4ceMQERGB3bt3w87ODrNmzUL37t2xY8cObNu2DQ0bNkTr1q3h6+uLHj16wNfXF8uWLUNoaChMTEyQm5uLBQsWqGVuHRFVTPqYawHgwYMHmDhxIiwtLfHOO+/gs88+Q2RkJBYtWoTMzEzk5eXB3d0dH374IX744Qd8//336NevH8aNG4fhw4cjNjYWH3/8MebOnYsdO3bgl19+gaWlJb755hs0atRIaZ5dvHixdNegtm3bwtvbGw0bNgQAxMfHY9GiRXj69CkAoGvXrhg/fry23zIyMCoVxxs2bICTkxP+/vtvNGnSBB9++GGh+ZhEREREROWBSsXxi86dOwcvLy906NABw4cPR8uWLTUVGxERERGRVqlUHO/cuRNvvPEGdu7ciZMnT+Ldd9+Fu7s7QkNDER0djXnz5mkjViIiIiIijVKpOHZzc0ONGjUwZMgQuLu7S7dKEULA09MTGzZs0HigRERERESaptKt3D788MMiR4cfPXqEt956S+1BERERERHpgkojx//88w9u374t/Z7677//jn79+qFSpUpFrh8X9/r7Dxq6atUqIzExTddh6CX2TdHYL0WrSP1ib2/1+pVKSV15t7y8H+WlHUD5aQvboV8qSjtKk3dVus+xn58fateuLT2uXr06vvnmmxLvrDwxNpbrOgS9xb4pGvulaOwX/VJe3o/y0g6g/LSF7dAvbEcx21RlpcaNG6Nbt27S427duiEoKEjtwVQ0h+4dLXJ5X+d3tRwJEVHFwdxLRMVRqTiOiYlBTk5Ood9rL/jNdFI/ZYlbGSZ0IiIiIvVQqTju1asXevXqhaZNm0Imk+HmzZuYOXOmpmMjIiLSuZKMNHNUmsjwqVQcv//++3BxccH58+cBADNmzICzs7NGAyMiIiIi0jaVimMAaNCgARo0aCA93r59Ozw8PDQSFBERERGRLqhUHP/999/w8/NDfHw88vLyIIRAcnIyi2M9wdN4RET6jXmayHCoVBz7+Phg/vz5qFu3LoyMjCCEgL+/v6ZjIyItCjxzT63bG9iFU6+IiMjwqHSf40aNGqFTp06oU6cOatWqhdq1a2P8+PGajo2IyrGQkMvw9ByLHj16IDs7u9BzGzf6YsCA3jhwILDI14aGhmD06OG4fPkfAMAPP2zG//53StMhF/Lbb79odX+k3KF7R1/591vYQV2HRUQGSqWR4xo1amD27Nlo1aoVTE1NAQD79+/Hjz/+qNHgqGx4Go/0mZtba7Rq9Sb++ScIBw4Ewt39IwBAYmIibt68Djs7e/TrN7DI17Zs6YYGDRpJj8eMGQeZTKaNsCW//fZffPzxMK3uk4iINE+l4viPP/5A586dceXKFWkZ73NMROowadIkLFjgjQ8+GABTU1Ps3fsbBg36CDt3bgMA+Ph8DTs7e6Snp8PW1g5Dh44o9PqYmBh89923aNiwMcaMGYdHjx7iu+9WomHDxrCwsMDPP/+IL76Yjry8PPj5bcDHHw/Fo0cP8eDBfaxYsQYWFpYICNiNiIhw2NjYIibmMaZPn420tDQsXDgXcrkRGjRohOvXr+Gdd3qjf/9BOHHiGFJSnmPLFj84OdXD22+/p4uuIyIiDVCpOJ44cSKGDh1aaNnJkyc1EQ9pAUeUSZ80atQILVq4Yv/+vejZ8x0YGRnB2tpaer5jx87o0qU7AGDkyGEYMGAQKle2kJ53dHREly7d8fjxIwD5UzLefbcPevV6F9HRUdi793f06fMBAOCPPw6iUSMXjBgxEqtW+eDixWB0794L9vbVMWCAO4yMjLB27be4cCEIHTt2xogRn8LPbwPGj/dEYmIivvhiPPr3H4Revd7Bpk2+GDNmnNb6iYiItEOl4njo0KF48OABHj58iHbt2uHJkyfo3r27hkMjoopi1KjPMW3aZMTGxmL48E9x795d6bn4+Kfw89uAypUtkJqaimfPnhUqjl92//491K49CgBQs2atV56vU6cuAMDa2hppaWkAgEqVKmHjRl9UrWqNiIgING7c5JX1q1WrJq1PBJT810yJyDCoVBzv3bsXGzduRK1atdCmTRssW7YMvXr1woABAzQdHxFVAPXrO6Nly1YwNjYuNGp8586/2LlzO37/fR8A4OzZ06/dVr169REV9QAuLk3w6NHDV54vam7yvHle+Omn/8LR0RFpaamvXR+AdOeeO3duFyqmifSJsrvQ8G4yRMqpVBz/888/OHr0KBYtWgRTU1P4+vpi0aJFLI6JyhFtf1jeunUDoaFXIJPl4pNPxsLb+2sA+RfkHTlyGPHxTxEREY569eph+fIlqFu3HuLinuDQof146632CA+/gyNHDqNmzVo4e/Y0nj9/joiIe5gwYQrWrFmB8PC7cHBwkIrbixeDEBsbg0OH9qNPnw8QGnoF9+7dRYcOnTFw4H+werUPXF1bIizsKiIj76N9+444cuQwwsPv4NatG7h3LxwpKSk4efIEunfvhY4dO2P9+rXIy8tjcVxKnOKl3ItFrYWFGVJTMwGwqCXSBpWKY3t7exgZFb7r28uPiYhKokmTZvD13Qx7eyvExT2XllerVg2zZy+QHr/7bh/p/8OG/f8PD/34407p/9988630/6ioSMybtxjW1taIiYnB33//BQB46632+P33/dJ6vr6bpf+PH+8p/X/EiJHS/1+Mo0mTZnj//X7S46lTZ6jeWCIiMhgqFccJCQk4cOAAnj9/jqtXr+Ls2bNISkrScGjlB+elEWlPTMxjbNnih8aNXRAdHYXJk7/UdUikI8y9RFQaKhXH06dPxzfffINz587h3Llz6Nq1K+bNm6fp2IiISuytt9rhrbfa6ToM0gBNF7sspokIULE4rlq1KlasWFFoWVZWlkYCIiIiIiLSFZWK40ePHr2ybN26dVi2bJnaAyIiIqoolI9WN9RqHET0/1Qqjvv16wdra2sIIZCTk4P4+Hg4OjpqOjbSc8qS+kj7/2g5EiIiIiL1UKk4njFjBoYMGSI9fvLkCY4cOaKxoPRJRSoAeVulik3d8y153BBpj7L7GZd0fd4qjkjF4vjFwhgAqlevjlu3bmkkICKqGG7cCMPGjb6QyQTc3NogISEez549g7f31zAxMSnRtlJTU+Dl9RXWr/fXULRE2hWee1H6v0m6MbJzcwAAgWd0FRFRxaFScTx79mzp/0IIxMXF8T7HRFQmzZq1QKtWb0Imy8Xo0eMAAJMnj0Nw8Dl07tytRNuysLDEunV+mgiTdKA83jXiVmSiRrf/YjH9ogbyt0q0HY4oE6lYHMfExKB///4A8n9K1c7ODu3a8VZJFUV5/KAi/ZOXl4fk5Gewtq6G0NArOHRoP+rVq4/IyAcYP34ynj9PxtKli1CjRk3Y2tohLCwUHh6j0bFjZ/zxx0F8991K/PnnSQDA9u0/4f79cNStWw/XroXCxMQEX3wxHStWLIVcboQGDRrh+vVreOed3ujff5BuG05ERHpFpeJ44sSJeOutor99xsTE8OK8F7CQVI4jElSUq1evYvv2n3Dnzm00bNgIjRs3wccfD8D332+DvX11HD58AD//vAVTpkxDv34DERx8HpMmfYGbN69j69Yf0LFjZ/Tp8wG2bMkfOb537y6OHDmEHTt+BwAsXjwfbdq0haNjDYwY8Sn8/DZg/HhPJCYm4osvxrM4JiKiQlQqjn/++WfIZDIIIV55buvWrdi4caPaA9N3v4UdRJrit+6JVMUvCK9ydXWFh8dIAMD27Vuxbt0aJCcn488/DwMAnj9/BiMjubR+3bpOAABr62pIS0t9ZXsRERGoVau29LhmzVqFnq9Tpy6A/J+pTktLU2tbiDRN2fSJkq5f0ukWRBWJSsXxw4cPMW7cODRq1AgAcOfOHTRq1AgmJiZ48OCBRgMkw/PLkVtI5RcHKgVbWzvcvn0L1tbWGDDAHVWqVMGzZ0kIC7um8jbq1auP6Ogo6fGjRw8LFcgymUytMRNVZCW5S4aFhRneaV3r9SsS6ZhKxXGbNm2wdetWVK1aFQCQnJyMzZs3Y+bMmfj11181GiCVf+oaTS1qO8q2UdJ9lvQ2SYY4EqztW6/dunUDoaFXAORh27YtyM3Nxb17dzFmzHikpDzHpk3r4ODggNjYGAwePBwJCfE4e/Y0nj9/jujoKBw5chixsTH4558LSEiIR0pKCgIDd2PgwA/x7rt94O09Bw0bNkJWVhZkMhmysrJw5MhhhIffwa1bN3DvXjhSUlJw8uQJdO/eS6ttJ8Oi7GK6JnWrqbyuvjGUEWWebSNdUKk4Tk5OlgpjAKhSpQoSE/MTwMu3eTNUnCusXEk+GIhU1aRJM/j6boa9vRXi4p6/8vwbb7R8Zdk333wr/X/MmHEYM2ac9Pjdd/tI/2/dug0+/XQMAGDp0kWoWbM2TE1NMXv2gkL7f//9fmppCxERlR8qFcdxcXH46aef8NZbb0EmkyE4OBhPnjzRdGyk55QVza5VtByIGpV0hFjT++XoSOns3v0rLl26iLy8PNjZ2aNlSzddh0TlkKGMEquDunIjcx0ZApWK46VLl+Kbb77Bpk2bAADt27fH0qVLNRqYpnCEmCPBVP4tWrRM1yHQC5h3y6+STs9QfkEhi2PSHyoVxw4ODvD19dV0LKRjhjIKUpIRDH0aCbawMNNBJEREFZuyL2f8iXtSRqWfuYuPj4eXlxemTp2K9PR0LFiwAM+ePdN0bEREREREWqXSyPGKFSvQpk0bXLhwAebm5hgyZAi+/fZbfP3115qOr9R4Gs9wRoKV0dWoryHgvD2i1zP0HEhEuqHytIqPPvoIYWFhAIBmzZrByspKo4GR4bqZHoTs3JxXluvbLYIMgT5NCwFYfFc0JR1k4GlqKlDU3GKTdJVKDpWsOrlL5XVLej0Np2GQSkdqUlISgP+/eX5aWhqioqKKeYX6VaSDlaMdRGSINH3GjhcTa56h3P+4JJQdN32VfNcv6fpU/qhUHLdv3x4ffPABsrKyMHbsWISFhWHevHmajk0lhjB9ggk9X0l/9lQZQ07SREREpN9kQgihyooRERE4d+4chBDo2LEjnJ2Vf4Uq6ob+qjKEYhcAKluYIU3Fn0iuaCPBJibGyM5+dVqFphVVNOvTKIiFhZne/ay2un4RsCz7LPgREE3/CqG62lSWqSX29pqbjqauvPtibivpF3tNDwSUZPuVLcxw+WaMWvara7rKqepWXDtKmpPVNdhSEgXH2cuf/8qOS2VtUtcvtyqbWjKt++Ail79M2Q8w6VJppvS9rh2lybsqFcft27fHlClTMGzYsBLvgIiIiIjIUKh0K7fGjRu/UhgnJCRoJCAiIiIiIl1RqTh+//33cerUKWRnZ0vLNm7cqLGgiIiIiIh0QaVpFU2aNPn/F8hkEEJAJpPh5s2bGg2OiIiIiEibir1bxaNHj2BsbIxevXphw4YNhZ777rvvNBoYEREREZG2FTty/J///AcffvghunXrBgCoVKkSbGxstBYcEREREZE2FTvnuEWLFhg6dCj27t2LcePG4cyZM9qKi4iIiIhI64otjgt+Ec/T0xONGjXCgAEDpOeysrI0GxkRERERkZap/EPnBYVygRUrVujNr+RpWlxcHNauXYtbt25hz549APJ/UnvVqlWoU6cO7t+/j6+++gp2dnY6jlT7iuqbdevW4cKFC9I648ePR6dOnXQVotZFRkZi7dq1aNasGWJiYmBtbQ1PT08eM1DeNxX9mNGV8pLbykseKi+5o7z8nefl5WH8+PFwdXVFdnY2oqKisHTpUmRkZBjU+wEob8v3339vUO8JAGRkZOCjjz5C586d4eXlpZG/j2KL42PHjuHWrVsAgPv372PIkCHSc9HR0RWmOL506RJ69epV6O4cq1evRocOHfD+++/jr7/+go+PD7799lsdRqkbRfUNAGzfvl1HEeleUlIS3n//fbz99tsA8m+F2L17d/z2228V/phR1jdAxT5mdKW85LbykofKS+4oT3/nbm5umDhxIgBgwoQJOHr0KP755x+Dej8KFNUWwPDek4IvXgU0kbOKLY4bNGiAQYMGFfnc/v37y7RjQ9K7d28EBwcXWnbq1ClMmDABANC6dWvMmjVLF6HpXFF9AwCbNm2CqakpcnNz4eHhAXNzcx1Epxuurq6FHufl5cHc3JzHDJT3DVCxjxldKS+5rbzkofKSO8rL37mRkZFUTObk5CA2Nhb169fHqlWrDOr9AJS35cGDBwb1ngQGBqJ169a4ffs20tLSAGgmZxVbHE+dOhWtW7cu8rn69euXeeeGLD4+HhYWFgAAS0tLPHv2DDk5OTA2VnmmSrnVu3dv1KpVC5UrV8bOnTuxZMkSLF26VNdh6cSxY8fQuXNnNGjQgMfMS17sGx4z+qO8HKeGfkyVl9xRHv7Oz5w5g59++gndu3fHG2+8YdDvx8ttqVSpksG8J3fv3sW9e/fw1Vdf4fbt29JyTbwfxV6Qp6wwBvKH5ysyW1tbpKamAgBSUlJQtWpVg/jD0IZGjRqhcuXKAID27dsjKChIxxHpRlBQEIKDgzFnzhwAPGZe9HLf8JjRH+XlODXkY6q85I7y8nfepUsXbNmyBdHR0di5c6fBvh/Aq20xpPfk2LFjMDU1hb+/Py5duoSrV6/ip59+0sj7odLPR9OrunXrhitXrgAALl++LN0LmgAfHx/p/w8ePICTk5MOo9GNkydP4n//+x/mzp2LuLg4XLlyhceMQlF9w2NGf5SX49RQj6nykjvKw9/53bt3cfLkSelx7dq1ER0dbZDvh7K2GNJ7MmHCBHh6emLs2LF488034erqipEjR2rk/VDp56MrugsXLiAwMBBnzpzB0KFDMXr0aGRkZGDlypWoWbMmoqKiMG3aNL2/WlUTiuqbDRs2ID09Hba2tvj3338xZcqUCjUNJywsDB4eHmjRogUAIC0tDcOHD0fPnj0r/DGjrG8iIiIq9DGjK+Ult5WXPFReckd5+TuPjIzEihUr0KxZM+Tk5CA8PBzz5s2DiYmJQb0fgPK2/Pzzzwb1ngDAkSNHsHPnTmRnZ2P48OHo3Lmz2t8PFsdERERERAqcVkFEREREpMDimIiIiIhIgcUxEREREZECi2MiIiIiIgUWx0RERERECiyOSXLp0iV4eHigY8eOWLBggfTP3d0d0dHRpdqmh4dHkT/rWt58+eWXOH36NAAgODgYHh4eJd5GTEwMxo8fX6rXEhERkXoYxk+6kFa8+eabGDRoEH799VcsXrxYWr5z506YmJjoMDL9N2vWLFSrVq1M23B0dMSoUaOwfv16NUVFREREJcXimIq1bt06DBo0CA4ODjh8+DDOnTsHa2trxMbGYubMmbC3t8ehQ4dw/Phx1KpVC48ePcLEiRPRsGFD7Nu3D/fv38fPP/+MI0eOYMCAAVizZg0cHR2xfPly/Pe//8W3336L/fv3w8bGBmPGjEFsbCzc3d1x+vRpZGVlITAwED///DPu378PMzMzPH/+HLNnz5Z+R72Ar68vtm/fjk8++QQ3btzA/fv3sXDhQvzxxx+4evUqXFxcsGzZMgBQGi8A/Pnnn9i2bRtcXFxgZWWFnTt3YuzYsXB2doaPjw/atWuH9PR03Lx5E59++imGDh2K4OBgfPvtt+jWrRs8PDykeBcvXoxWrVohPj4evr6+2L9/P4yMjDBnzhypDwBg+/btOHLkCJydnV9pl7I+JyIiIg0RRC/Ys2ePaNu2rZg6daqYOnWq6Nu3r4iKihLh4eHi/fffF7m5uUIIIX777TcxY8YMIYQQJ0+eFM+fPxdCCBEaGirGjBkjbW/EiBEiKCio0Pa9vLykxz169BBRUVFCCCGioqJE06ZNxY0bN4QQQuzYsUOcO3dOfPrpp9L6q1evFmvXri0y9hEjRojvvvtOiq9Tp04iKSlJ5Obmim7duomIiIhi43369Klo06aNiI2NlbbRo0cPafu+vr5ixIgRIi8vT9y7d0906tSp0HO+vr5CCCGCgoLEiBEjCsX2Yjtf7INbt26Jjh07ivT0dKl9Ba8trs+JiIhIMzhyTK9wcnLCmjVrAACBgYGoVKkSTp48iczMTCxcuBAAkJqaiuzsbAD5v9G+bNkymJubIzU1Fffv3y/1vm1sbNC0aVMAwPDhw+Hj44PExEQsWLAAAJCUlFTsyGmrVq0AAHXq1EGtWrVQtWpVKca4uDjUq1dPabwhISFwcHBA9erVAeRPM3mZm5sbZDIZ6tati6dPn5a6nQWCg4PRokULVKpUCQDQpk0bXL58GQBw7tw5pX1OREREmsHimIo1cOBAAIAQAvXq1Ss0Fzk1NRUAMHHiRHz11Vd47733EB0djU8++UTp9mQyGfLy8qTHLxd7pqamhR4LIeDm5oZFixZJj9PT05Vuv+D1Mpms0LZe3K+yeIUQkMlkSrf94vblcjlECX95vWD9nJycQsuU7bO4PiciIiLN4N0qSCUdO3ZEWFgYUlJSAAA3btyQ5vAmJSXB2toaAPD48eNCrzM1NUVeXh7CwsJw+/Zt2NnZIS4uDgDw5MkTxMfHF7vfrl27Ijg4WCoojx8/jm3btpWpLcribdWqFR4/fownT54AyL97R2mYmZkhNzcXALBnzx4AgL29vbTdmzdvSuu2a9cO165dQ0ZGxiv7LK7PiYiISDM4ckySK1euYP/+/Xj48CEWL16MmTNnSqf7GzRogPnz52PmzJmoW7cukpOTMWPGDADAnDlz4OPjgzZt2iAzMxNJSUnYtm0bPv30U/Tu3Rs//PADTExMsGjRItSvXx8//fQTZs+ejaZNm8LR0RHr1q2Dt7c31q1bh6SkJCxevBhz5syBsbExOnbsiCFDhmDatGmoUaMGMjMzMWvWrFdiDwwMlC7+c3BwkC6K27dvHwBIzzVq1KjYeL/++mt88cUXaNasGapWrSrdpePKlSs4deoUAKBnz544c+YMgPwLAdu1ayc917ZtW7i6ukIIgdmzZ6N27doAgM8//xwrV65Eq1atYGZmhqCgIBw5cgTvvfcexo8fj88++wyNGzeGkZER7t+/j//+978YOnSo0j4nIiIizZCJkp4bJirHTp06hW7dugEATp48iYCAAHz33Xc6joqIiIi0hSPHRC/466+/cOLECZibm+PJkyfw8vLSdUhERESkRRw5JiIiIiJS4AV5REREREQKLI6JiIiIiBRYHBMRERERKbA4JiIiIiJSYHFMRERERKTA4piIiIiISIHFMRERERGRAotjIiIiIiIFFsdERERERAosjokU+vXrhwcPHug6DCIiItIh/nw0kUJycjKqVKmi9u3OmjULtWrVwuTJk9W+bSIiIlIvjhwTKWiiMCYiIiLDYqzrAEi/7dq1C35+fmjZsiWsrKxw+fJlNGnSBJ6enli9ejVu3ryJkSNHYvjw4QCA7OxsrF69GleuXIFMJkOnTp0wadIkyGQy3LlzBz4+PsjIyEB2djbc3d0xePBgAICnpydOnTqFyZMnIyQkBHfu3Cm03RedOHEC3377LapVq4ZGjRrh33//RVZWFpYsWYLmzZsDACIjI7Fw4UJkZWUhLy8P06dPR+vWraXX2tnZ4Y033sD58+eRnJyMd999F7t378acOXPg7u5eKJ7Lly/jzp07mD59OjIzM7F3714kJiZi3bp1qFevXrH727ZtG86cOQMzMzNcuHAB/fv3x0cffYSwsDAsW7YMMpkMcrkcCxYsQIMGDQr1t4WFBS5dugQ7Ozts375dO284EZUL+pi7AeDYsWPYunUr5HI58vLy8NVXX+HNN9/Eo0ePMHXqVISGhmLZsmUIDAzEP//8g6NHj8Lc3Bze3t5ITExEbm4uPvvsM7z99tvFbo+oTATRa/j6+oquXbuK5ORkkZmZKTp06CDmzp0r8vLyRFhYmHBzcxPZ2dlCCCE2btwoPDw8RE5OjsjKyhKDBw8WgYGBQgghQkJCREhIiBBCiKysLNG7d28REREh7adHjx7C29tbCCFEaGhooe2+bM+ePaJp06bi1q1bQggh9u/fL3r06CGysrJETk6O6N27t/j999+FEELcvHlTtG3bVjx//lx6raurq7h7964QQojly5cLIYQYMWKE2LNnT6F4lixZIoQQ4tixY6J9+/bi6NGjQgghlixZIubPny+EEK/dn5eXl/D19ZW2m5ycLNq1ayfOnTsnhBDi77//Fu+++67Izc2V+rtjx44iPj5e5OTkiBUrVqj6VhERSfQxdwcGBorExEQhhBBRUVGiW7du0nNRUVGicePGIiAgQAghxJYtW0RsbKwYNWqUWLt2rRBCiNjYWNG2bVsRFRX12u0RlRanVZBKXF1dYWVlBVNTUzg5OcHFxQUymQwuLi5IS0tDfHw8ACAgIACDBg2CXC6HiYkJevfujf379wMAnJycsHv3bgwZMgSjR49GXFwcbty4UWg/Xbp0AYBXtluUhg0bwsXFBQDw/vvv48mTJwgJCUFISAiioqIwYMAAAECTJk3g4OCAkydPSq+tX78+GjRoAADw8vJSuo+OHTsCABo1aoSEhAR06NBBii86OhoAVNrfi/7++29UrlxZ2lb37t3x9OlThIaGSuu4ubnBxsYGcrkcM2bMUBofEVFx9C13N2nSBLNnz8bQoUMxe/ZsPH78+JV1e/XqBQAYPXo0hBA4e/YsPvzwQwBA9erV0bp1axw6dEjl7RGVFKdVkEosLCyk/xsbG0uPjY3zD6Hs7GwAQExMDLZu3Yq9e/cCAFJTU6W5vMuXL0dycjJ27twJuVwODw8PZGRkFNqPpaUlAMDMzKzQdotStWpV6f9yuRxWVlaIi4uTlo0ePVr6f1ZWFp4/fy49trKyKlG75XJ5ofjkcrkUW2xs7Gv396KYmBg8e/YMHh4e0jIbGxskJSWVOD4iouLoW+6eMGEChg8fjjFjxgDIL6bT09MLrfNi/ouJiQGQP4ghk8kAAImJiWjcuLHK2yMqKRbHpFY1atTAhAkT0KdPHwBAXl4ekpOTAQBXr17FsGHDpEKzuMJXFS8Wkzk5OXj+/Dns7e2lkY8X5+mmpaXByEgzJ0ocHR1LtL8aNWrA0dGx0PopKSkwNTXVSHxERK+jjdwdHx+Phw8fSqPMqmzH0dERAODr6wsbGxsAQGZmJnJyckq1PSJVcFoFqdWgQYNw8OBB5ObmAsg/Vbd582YAQN26daWpA0+ePMHt27fLtK/79+9L2zh06BCqV68ONzc3tGzZEjVq1MDRo0cB5BfOkyZNwv3798u0P2Vetz8LCwukp6cjLS0N06ZNQ48ePZCUlISrV68CyC+kP/nkE6SkpGgkPiKi19FG7ra2tkaVKlWkbZ05c+a1r3FwcEDnzp2xb98+aZm3tzeCg4NLtT0iVfA+x1SsAwcOYM2aNcjMzMSkSZOQkJCAn376CXZ2dli2bBm2bNmCY8eOoWXLlvD394eFhQW+++47XLhwAWZmZnB0dMTixYthbm6O8PBwzJgxAyYmJnB2dkZYWBiys7Ph7e2NgIAA/PHHH3B2dsb69evh4+NTaLvW1taF4tq7dy/27t2Lpk2bIiwsDJmZmVi8eDFatGgBIP/uEYsWLUJmZiby8vLg7u6ODz/8EOfPn8eiRYvw9OlTuLq64scffwSQf9pw9+7dsLOzw6xZs3D48GEpnjVr1mDWrFkIDQ1Fz549MWHCBMycORNPnz7Fxx9/jJkzZyrdHwBcuXIFs2fPhqWlJT799FP069cPYWFh8PHxgRACQgh89tln6NGjR6H+7tSpE1asWKHV95uIygd9zd3Hjx/HsmXLUK9ePbRo0QKbN2+W1h07dixCQ0PRtm1beHt7o2HDhgDyR5wL8jYAdO3aFePHj3/t9l7eN5GqWByTQdq7dy8CAgJ4izMiIiJSK06rICIiIiJSYHFMBufEiRPw9/fHzZs3sWTJEl2HQ0REROUIp1UQERERESlw5JiIiIiISIHFMRERERGRgkZ+BCQuruhfBgOAatUqIzExTRO7VRvGqB6MUT0Yo3roQ4z29pr75cPi8m55pA/vp66w7Wx7RVOWtpcm72r9F/KMjeXa3mWJaSvGQ/eOFrm8r/O7r30t+1E9GKN6MEYqjfKeAzWFba+Y2Hbt4bQKIiIiIiIFrY8cExERFacsI8pERGXF4lgPlfSDgR8kREREROrBaRVERERERAocOSYiIoPw4lmyyrFmSEvNBMCzZESkXhw5JiIiIiJSYHFMRERERKTAaRUVEC/gIyIiIioai2MDomy+HRERERGpB6dVEBEREREpsDgmIiIiIlLgtAotUDbHl4iIiIj0C0eOiYiIiIgUWBwTERERESlwWkU5xukcRERERCXD4piIiAwa791OROrEaRVERERERAocOSYiIrXQt6lcHFEmotLgyDERERERkQKLYyIiIiIiBU6rKCWeriMiIiIqf1gcK7xY7FaONUNaaiYAFrtEREREFQmLY3otdY2SB565V+TygV2cSxwTERERkSawOH4Nfbv6moiIiIg0h8WxmlWkYprzrjkaThWToec55i4iKg6LYyIiIrBoJqJ8LI5Jb5XHUdny2CYiIqLyhMUxvdatyMQilzepW03LkRSvqMKTRScRlRW/1BJVLCyOqdSUFc19Dfjzgh+CROWHoXyxJyL9wuKYJKtO7tJ1CGqnrNgtYGFhhlTFPa21uV8iMnzqOFvFL+RE+qfcFse8sEI5ZaMp6lKQ7FUtPEtaSOqi8GSxS1T+KcuNDeSqb0Ndxa6mi2ZN5zQW92TIym1xTEREZWPot2xTRtMDBLrAL/BE6sPiuBwrjx8A5RVPrRK93os5zcTEGNnZOTqMRjcCz9zT2HQwIsrH4rgcYBFcfpX0g1DfTt0SEREZGoMpjtU1h7i8niY0BOG5F0u0fgP5WxqKhIhexLyoeRVt2kNJ26vsC/nL2ykYLFDHF3gODpAyBlMcl0dlGfGtqKcUqXiGkOwNIUbAcOIsj/TtbFhJvtjzSz2R4dO74rikIxiGMOKhb4le0wo+SEzSjZGdW/oCXtkHkrIPn6LW5wdV6ZR01Odz95YaikR9I1C/HLlV5PQUFruaV5FyoLrOkJU0/xk6ddy1SNN/yyX9wqzuO5e8PMVO39qryX1q8jOmKDIhhNDqHomIiIiI9JSRrgMgIiIiItIXLI6JiIiIiBRYHBMRERERKbA4JiIiIiJSYHFMRERERKTA4piIiIiISIHFMRERERGRgsZ/BCQjIwMfffQROnfuDC8vLyQlJWHVqlWoU6cO7t+/j6+++gp2dnaaDqNY9+7dw6FDh2BmZoaLFy9i8uTJqFu3rl7F+cMPP+Dhw4eoVq0aHjx4gG+++QYZGRk6jTEuLg5r167FrVu3sGfPHgAo9v394YcfkJKSguTkZHTq1Am9evXSSYxLly6Fubk5KleujFu3bmHOnDmwt7fXqxgLbNy4Edu2bUNwcLC0TF9izMrKwtatW2Fubo67d++iWrVq+PLLL/UqxrCwMPj7+6NFixa4evUqxowZg1atWuksRlLdxx9/DDMzMwCAkZERtm3bpnf5RZ3UlU9v3ryJnTt3onbt2oiPj4eXlxeMjfXu974KKart69atw4ULF6R1xo8fj06dOgEoP22PjIzE2rVr0axZM8TExMDa2hqenp4V4n1X1na9ed+Fhi1btkzMnDlTLF++XAghxPz588WhQ4eEEEKcOHFCTJ8+XdMhFCsnJ0d8/vnnIjc3VwghRGxsrIiPj9erOJ88eSLeeustKcbx48eLffv26TzGP/74Q5w4cUIMGjRIWqYsppCQEPHZZ58JIYTIysoS77zzjnj27JlOYly9erX0fz8/P7F48WK9i1EIIYKCgsSyZctE27ZtpWX6FOP69evFhQsXpMc3b97UuxjHjBkjjh49KoQQ4ujRo2LkyJE6jZFU5+vr+8oyfcsv6qSOfJqXlyf69u0rnjx5IoTI//z97bfftNySkiuq7UW9/0KUr7aHhoaKY8eOSY/79Okjrl27ViHed2Vt15f3XaPTKgIDA9G6dWvUrl1bWnbq1Clp5KZ169Y4deqUJkN4rWvXrkEIge3bt8PPzw9///03qlWrpldxmpubw8TEBCkpKQCAtLQ0NGrUSOcx9u7dGxYWFoWWKYvp77//hpubGwDAxMQEzs7OuHixZD+zqq4YC0Y3AUAIgcqVK+tdjE+fPsWhQ4cwYsSIQsv1KcaDBw8iOjoaP/30E9auXSuNvutTjHZ2dkhISAAAJCQkoHnz5jqNkVT377//wt/fH+vWrcPJkycB6F9+USd15NOoqChkZGRIf4u6/uxSVVFtB4BNmzZhy5Yt8Pf3R3p6OoDy1XZXV1e8/fbb0uO8vDyYm5tXiPddWdsB/XjfNVYc3717F/fu3cO7775baHl8fLz0R2BpaYlnz54hJydHU2G81qNHjxASEgJ3d3eMGzcOFy9eREBAgF7FaWlpiRkzZuDLL7/ErFmz4OjoiLp16+pVjAWUxZSQkFAo+VlaWkpFi64kJyfjf//7H8aMGQMAehNjXl4eVq9ejWnTpr3ynL7ECAAPHz6ETCbDyJEj0bZtW0ydOlXvYpw6dSoCAwPh4+ODgIAA9O7dW+9ipKJ9/vnnGDt2LCZOnIjNmzfj4sWLBpVf1KGk7X1x/YLl8fHxWo9bHXr37o1PP/0UY8aMgYWFBZYsWQJA+d+uobf92LFj6Ny5Mxo0aFDh3vcX264v77vGJqQcO3YMpqam8Pf3x6VLl5CdnY2ffvoJtra2SE1NRZUqVZCSkoKqVavqdF6MhYUFnJ2dYWVlBQB48803ceHCBb2K8+bNm9iyZQsCAgJgbGyM5cuXY8OGDXoVYwFlMdnY2CA1NVVaLyUlBTY2NjqL8/nz51i0aBGWLl0Ka2trANCbGK9fvw5jY2Ps2rULz549Q2ZmJvz9/fHuu+/qTYxAfhJydXUFkP93888//yA3N1evYpwwYQIWLFiAVq1a4fbt2xg1ahTOnj2rVzFS0QqOLblcjjZt2iA4ONhg8ou6lLS9Beu/uNzW1lYXoZdZo0aNpP+3b98eW7ZsAaA8Txty24OCghAcHIw5c+YAqFjv+8tt15f3XWMjxxMmTICnpyfGjh2LN998E66urhg5ciS6deuGK1euAAAuX76Mbt26aSoElbRs2RJJSUnIzc0FkD+SXK9ePb2KMzY2FtbW1lLha29vj6ysLL2KsYCymHr06IGQkBAAQE5ODsLDw/HWW2/pJMaEhAQsWrQIM2fORJ06dXDkyBG9ivGNN97A4sWLMXbsWAwdOhRmZmYYO3Ys6tWrpzcxAkCHDh0QFRUFIH8UuW7dupDL5XoV4+PHj6XTbQV/N4D+vNdUtPDwcPz+++/S4wcPHqBu3boGkV/UqaTtrVOnDipVqoS4uLhXXmNofHx8pP8/ePAATk5OAMpf20+ePIn//e9/mDt3LuLi4nDlypUK874X1XZ9ed9lQghR5q0U48iRI9i5cyeys7MxfPhwdO7cGStXrkTNmjURFRWFadOm6fxuFceOHUNQUBCqVauGx48fY/78+cjIyNCbOHNzc/H111/DzMwMVlZWuHPnDubMmQNTU1OdxnjhwgUEBgbizJkzGDp0KEaPHl1sv/3www9ITk7Gs2fP0LVrV61cTV5UjEOHDkVOTo40YmxhYYHNmzfrVYyVKlXCgwcP8Ouvv+K///0vxo4di5EjR6Jy5cp6E+OzZ8/g6+uLunXrIjw8HCNGjJBG+/QlxjNnzuCPP/6Ai4sL7t69i3fffRfvvPOOzmIk1cTGxmLx4sVo1qwZUlJSkJOTg9mzZyM5OVmv8os6qSuf3rx5E9u3b0fNmjXx7Nkzvb9rAVB02zds2ID09HTY2tri33//xZQpU1C/fn0A5aftYWFh8PDwQIsWLQDkX080fPhw9OzZs9y/78raHhERoRfvu8aLYyIiIiIiQ8EfASEiIiIiUmBxTERERESkwOKYiIiIiEiBxTERERERkQKLYyIiIiIiBRbHREREREQKLI6JiIiIiBRYHBMRERERKbA4JiIiIiJSYHFMRERERKTA4piIiIiISIHFMRERERGRAotjIiIiIiIFFsdERERERAosjomIiIiIFFgcExEREREpsDgmIiIiIlJgcUxEREREpMDimIiIiIhIgcUxEREREZECi2MiIiIiIgUWx0RERERECiyOiYiIiIgUWBwTERERESmwOCYiIiIiUmBxTERERESkwOKYqAR27dqFnj17YtasWboOhYiIiDSAxTFRMdatW1eoEB48eDAGDRqkw4iIiOhFL+dporJicUxEREREpCATQghdB0G6t2vXLvj5+aFly5awsrLC5cuX0aRJE3h6emL16tW4efMmRo4cieHDhwMAsrOzsXr1aly5cgUymQydOnXCpEmTIJPJcOfOHfj4+CAjIwPZ2dlwd3fH4MGDAQCenp44deoUJk+ejJCQENy5c6fQdouKa8+ePTA3N0elSpUwc+ZMmJubY+rUqQgNDcWyZcsQGBiI+Ph4rF27Fvv27cO5c+dga2uL9evXw8zMDABw+vRpbNy4EXK5HJUqVcKCBQvg5OQEALh//z6WLFmCjIwM5ObmYuLEiejatSsOHz6MlStXIjMzE87OzujYsSMmTJiAdevW4d69e7CyssK1a9dgZ2cn7WvhwoU4ePAgRowYgXv37uH27dt477338NVXX0lt+uGHH3D06FEYGxujadOm8PLygqmpKcLDw7Fo0SIAQE5ODj788EO4u7vj6dOnmDVrFjIzM5GTk4MePXpg7NixGjsWiEhz9DXXpqamYtmyZQgPDwcA1K9fH9OnT4eNjY3SHHn16lXMnz8fz58/x7Bhw3D8+HHk5ORg7dq18Pf3x5UrV9CsWTP4+PggKysLY8aMwYULF/DVV18hODgYsbGxGDBggJTP/vnnH/j6+kIIgezsbHz22Wd4++23pRh//PFH/PnnnzAzM0OlSpUwdepUPHjw4JU8bWNjU6iPX87TAHDmzBmsX78epqamsLCwwKJFi+Dg4ID09HTMmjUL8fHxyM3NhaurK2bPno28vDwsWrQI//77L+RyOZycnDB37lxUrlxZY8cK6ZAgUvD19RVdu3YVycnJIjMzU3To0EHMnTtX5OXlibCwMOHm5iays7OFEEJs3LhReHh4iJycHJGVlSUGDx4sAgMDhRBChISEiJCQECGEEFlZWaJ3794iIiJC2k+PHj2Et7e3EEKI0NDQQtt9UUpKimjbtq3IzMwUQgjx008/iT179gghhIiKihKNGzcWR44cEUII8fXXX4tevXqJhw8firy8PNG/f39x8OBBIYQQkZGRws3NTdy7d08IIURgYKB47733RHZ2tsjOzhbvvfeetN0HDx6IVq1aiQcPHkh94uXl9Uo/de7cWSQlJYnc3FzxwQcfiAMHDkjPjxgxQnz++eciLy9PxMbGimbNmomYmBghhBD79u0TvXv3FmlpaSIvL09MmTJFbNiwQQghxJQpU8ShQ4eEEEI8efJEjBkzRgghhI+Pj/Dz8xNCCJGamiqGDBmi6ltKRHpI33KtEELMmzdPzJo1SwghRG5urhg3bpwICgp6bY4MCgoSzZs3F1euXBFCCDFhwgQxaNAgqW3t27eXnhNCiMaNG4sVK1YIIYRITEwUnTp1EmfOnBFCCHHy5Elx//59IYQQz58/F507dxbJyclCCCH2798v+vbtK9LS0oQQQvzwww/C19dX6s/X5em+fftKebrgMyE8PFwIIcSOHTvEp59+Kv1/wYIFQgghcnJyhLu7uxRbQU4WQoiJEyeKqKioIvuSDB+nVVAhrq6usLKygqmpKZycnODi4gKZTAYXFxekpaUhPj4eABAQEIBBgwZBLpfDxMQEvXv3xv79+wEATk5O2L17N4YMGYLRo0cjLi4ON27cKLSfLl26AMAr232RXC4HAAQGBiI9PR3Dhw/HBx98UGidjh07AgAaN26MKlWqoGbNmpDJZGjUqBGioqIAAAcPHsQbb7yB+vXrAwA++OADPHr0CFeuXEFoaCiio6PRv39/AEDdunXRsmVLqS3KtGzZElWrVoWRkREaNWqE6OjoQs937twZMpkM1atXh7W1NR4+fCj1W9++fWFubg6ZTIYPPvgA+/btAwBUrVoVf/75J6Kjo2Fvb49169YBAKytrXHmzBncuXMHlStXxo8//lhsbESk//Qp1+bl5SEwMBDu7u4AACMjI8yaNQsNGzZUKUdaWFjAzc0NANCoUSPUqlVLalu9evWkXFygb9++APJzW9euXXHo0CHptd999x2GDBmCCRMmICkpCREREQCAvXv3onfv3jA3NwcAfPzxx3jvvfeK7WNlefrgwYNo0aIFnJ2dAeR/Jpw/fx5PnjyBtbU1Ll26hJCQEMjlcuzYsQMAUKVKFfz77784e/Ys8vLysHr1atSsWbPY/ZPhMtZ1AKRfLCwspP8bGxtLj42N8w+V7OxsAEBMTAy2bt2KvXv3Asg/JVelShUAwPLly5GcnIydO3dCLpfDw8MDGRkZhfZjaWkJANIproLtvqhSpUrYsWMH/Pz8sHbtWnTv3l06zffyduRy+Suxvxjri6+Ry+WoUqUKYmJipP8XtA8AbGxsEBsbW2w/FewXAExNTV+J/8XnzczMCsVy4MABBAcHAwAyMzNhZJT/HXXOnDn48ccf8emnn6J69eqYMmUKOnTogDFjxsDc3Bxffvkl5HI5xo8fjz59+hQbHxHpN33KtQkJCcjKyiqUJ+vVqwcACA4Ofm2OVNaWgscv77MgfiC/QP73338BAF5eXmjcuDFWr14NAOjZsyfS09OlfngxPisrK1hZWb3SlqLaXtD+F/s0PDwcHh4e0vO1atVCfHw8+vbti5ycHCxduhRJSUkYOXIkhg0bhlatWmHJkiX4/vvvMWfOHAwePBjjxo0rdv9kuFgcU6nUqFEDEyZMkIq0vLw8JCcnAwCuXr2KYcOGSSO/RSVjVWRnZ8PW1hYrV67E8+fPMWvWLPj4+MDHx6fEsRaMPgBAbm4ukpOT4ejoCLlcjuTkZOTk5EjJPyEhQRplVrcaNWqgY8eO+Oyzz6RlCQkJAIDk5GRMnDgREyZMwL59+zBhwgScO3cOKSkp8PDwgIeHB86dO4dx48ahefPmqFu3rkZiJCL9oY1ca2NjA1NTUyQkJKBBgwYAgNjYWBgZGcHR0VHtOfLZs2eoXbs2ACAxMRH29vZSe0aPHi2t92J7atSoIeVKAEhLS0NMTIw0+lsSNWrUQIsWLeDv718oJktLSyQkJOD999/HgAEDcOPGDYwaNQrOzs5o3rw52rZti27duiEyMhKfffYZHBwc8J///KfE+yf9x2kVVCqDBg3CwYMHkZubCyD/1N/mzZsB5J92Cw0NBQA8efIEt2/fLtU+YmNjMX/+fAD5owRNmzaV9lcSffv2RVhYGB48eAAAOHz4MGrWrIlWrVqhZcuWqFu3Lg4ePAgAiIqKQmhoqHQK0cLCAunp6RBCYNKkSaVqx4sGDRqEP//8E5mZmQDyR2W8vb0BALNnz8bTp08hk8nw1ltvIScnBzKZTLpIB8g/FWtiYgLB62iJKgRt5FojIyMMHDhQGp3Oy8vD3LlzERcX99ocWRpHjhwBkF8Ynz59Wppm8WJ7bt26hbi4OOk1BbmzYCR527ZtOHPmDICS5+m+ffsiNDRUmu4WHx+PESNGIC8vDzt37sSpU6cA5E/Xq1q1KvLy8nDs2DHs2rVLitPBwQF5eXml7gPSb7xbBQEADhw4gDVr1iAzMxOTJk1CQkICfvrpJ9jZ2WHZsmXYsmULjh07hpYtW8Lf3x8WFhb47rvvcOHCBZiZmcHR0RGLFy+Gubk5wsPDMWPGDJiYmMDZ2RlhYWHIzs6Gt7c3AgIC8Mcff8DZ2Rnr16+Hj49Poe1aW1tLMaWlpeHrr79GREQEjIyMYGZmhq+//hqVK1fG2LFjERoaip49e2LChAmYOXMmnj59ik8++QQODg7w9fWFmZkZvvzyS/Tr1w//+9//sH79euluFfPnz5dOG0ZGRmLx4sVIT09Hbm4uJkyYgG7dugEAHjx4gIkTJ8LS0hLvvPMOHBwcCvWTXC4vtK+bN2/it99+k/pt37592LNnD5ydnbFq1So0bNgQP/74I/744w+Ym5vD0tISixcvhp2dHQICArBr1y6YmpoiJSUFn332Gd5//32cPHkS33//PeRyOVJSUjBw4EB88sknOjhKiKis9DHXAvnTNZYuXYp79+5BCIF+/fpJd7ZQliPv3r2LadOm4d69exg0aBC6deuGb775psi2eXt7o0OHDnBxccGcOXNw+vRpPH78GAMGDJCmJ1y6dAnz5s2DnZ0dXFxc8Oeff8LW1rZQ7vzzzz9hYmKC+vXrY+HChTA2Ni5xnn7xM8HExAQymQxfffUV3NzcEBISgjVr1kAIgZSUFHTq1Elq4/Lly5GRkYG0tDS4uLjA29sbpqam2j6ESAtYHBMREZFWuLi44MSJE9K0CiJ9xGkVREREREQKLI6JiIhIo7KysqS7Q3z11VevvSMQkS5xWgURERERkQJHjomIiIiIFDRyn+O4uOea2GypVKtWGYmJaboOQ63KY5sAtsuQlMc2AZpvl7198T9aUBb6lHdfx1CPH0OM2xBjBgwzbkOMGTDMuEsSc2nybrkfOTY2lus6BLUrj20C2C5DUh7bBJTfdukbQ+1nQ4zbEGMGDDNuQ4wZMMy4NR0zfyGvAjp072iRy/s6v6vlSIiIyo45jYjUicWxASn4AKgca4a01ExpOT8AiIiIiNSDxTEREekER3yJSB+V+znHRERERESqYnFMRERERKTAaRXlmLJTlkRERERUNBbHRESkVzgXmYh0idMqiIiIiIgUWBwTERERESlwWgXpHO/fTESawOkZRFQaHDkmIiIiIlLgyDERERkE3oGHiLSBI8dERERERAocOabXKum8PWXr34pMLHJ5k7rVShcYERERkZqxOCZJSU9Z8hQnERERlTecVkFEREREpMCRYyIi0qiXzzK9fNtGbdPkLd54+zgiw8fiuBzQ1fQGfZtDXFQ/8AOJiFTFwpaIABbHRERUQrzegIjKMxbHZHBWndxV5HLe9YKIiIjKisUxvZay6RPq3r6JiTGys3Ok5X2dS7edF5V0G0RE+iDwzL0ilw/swqRGpGksjklvKRshJiIiItIUFsdEREQ6omyEmIh0h8WxFvAKaN3hqUki0iZl09A4xYvIcLA41kO8Elx9wnMvKnmmZJ9ULLKJKq6CnPzy/Zk5wEFUPrE4pgpJXcUui2YiIqLyhcWxDunbCLGm70pBRGSIlN1R51ak6hcNa3pusbLtf+7eUi3b4Rd+qkhYHBMREekZdU0J++XILaQW8VPdLHaJlGNxXEq8yK584pXjREREFRuL43JM2TQJ/pKccspHa4rWQP6WhiIhIk3RRW5UlluYQ4j0D4vjckDf5grrWzxERPqqpF/I1UVXc6A5nYMMAYvjCojFq/7hNB2i1+PZMN1hsUsVCYtjIi1S9gFjUkvLgRDpMXV9gedAgOapawT65e1YWJghNTVTafFd1H5ZqJO6sDgmIqIi6dvtJqnkxejN9CBk5+a8slxXc5150TMZAhbHREREMOyRZmVzl02MSvYxr28XDqqjmC7plBB9m0JS0j7gCHrZsThWUNecT460VCzKPkgCz/z//wtODxa3PiKLXpz9kL/kR5qn6bz1ctH58o9pqHv7VDEpy3Oq5OmybJ95tPzRu+JY0xcmlfRDQB0fGupO3Or+YKmINH2F+IvbN0k3LvK0ZlmsOln0L3Opa3RH2XGf/bAhgMIFf0kZygcJL5IkfaSu3KWr7SjLUS9vpyBvliSn6erOH8oY+oivLr4M6MsXEJkQQmh1j0REREREespI1wEQEREREekLFsdERERERAosjomIiIiIFFgcExEREREpsDgmIiIiIlJgcUxEREREpMDimIiIiIhIQe9+BERV586dw9GjR2FrawuZTAZPT89Cz2dmZsLHxwcODg64f/8+xo4di/r16wMAQkJCcPbsWRgZGSE4OBjLli1DjRo1dNGMV5SlXcuWLYOxsTHy8vKQkZGB+fPnw8hI999/XtcmADh8+DBWr16NuXPnokePHtLyffv24ebNmzAyMkLdunUxZMgQbYZerNK26+rVq9i2bRuaNWuGiIgIuLq64uOPP9Z2+EqV5f0CgPj4eAwcOBDjxo3DiBEjtBV2scrSJn3OF/qoLDmsZ8+eqFWrFgCgevXqWLVqlV7EDOhnjipL3Pra1/7+/nj69Cns7Oxw/fp1TJkyBQ0aNACg331dXNz62teHDx/GiRMn0KRJE1y7dg0DBw5Ez549Aeh3XxcXt9r6WhigtLQ08fbbb4vMzEwhhBCenp7i3Llzhdbx8/MT/v7+Qgghbt26JYYOHSqEEOL58+fC09NTWi8yMlKkpqZqKfLilaVdISEhol+/ftJ6/fr1E//884+WIldOlTZFRkaK8+fPixEjRoi//vpLWv748WPRv39/kZeXJ4QQwt3dXURERGgt9uKUpV3Hjx8XoaGhQgghsrKyRJs2bUR8fLz2gi9GWdolhBC5ubli7ty5Yvz48WL79u1ai7s4ZWmTPucLfVSWHCaEEL6+vtoLVsFQc1RZ/1b1ta/XrFkj9eehQ4fEuHHjhBD639fK4hZCf/t6z5494uHDh0IIIa5fvy7eeecdIYT+97WyuIVQX1/rflixFEJCQlCzZk2YmpoCAFq3bo2TJ08WWufkyZNo1aoVAMDFxQW3bt1CSkoKTp06hcqVK2Pr1q1Yv349rl+/jsqVK2u7CUUqS7usra2RlpaGnJwc5OTkQCaToXbt2tpuwitUaVOdOnXQvn37V1575swZNG/eHDKZDADQqlUrnD59WuMxq6Is7erVqxdcXV2lx3K5HCYmJhqNV1VlaRcAfP/99/joo49QtWpVTYeqsrK0SZ/zhT4qSw4DgIsXL+L777/H2rVrcfnyZb2JWR9zVFn/VvW1r6dOnSr1Z15envT3pu99rSxuQH/72t3dHTVr1gQAPHjwQBrp1ve+VhY3oL6+NshpFfHx8bCwsJAeW1paIj4+XqV1Hj58iNDQUHz99deQy+X45JNPYG1trTSBaFNZ2uXk5ISPP/4YX3zxBYyMjNCxY0fY2NhoLXZlVGmTMgkJCYVea2FhofJrNa0s7XrRzp07MX78eFhZWakzvFIrS7uCgoJQqVIltGzZEv/97381FWKJlaVN+pwv9FFZcpilpSWmT58OV1dXpKenY9CgQfDz84OTk5POY1ZGlzmqrDlI3/s6KysLAQEB8Pb2BmA4ff1y3IB+93VGRgbWrVuHCxcuYOXKlQAMo6+LihtQX18b5Mixra0tUlNTpccpKSmwtbVVaR1LS0s0a9YMJiYmMDIygpubGy5evKi12ItTlnadOHECwcHB2LBhA9atW4fo6Gj89ttvWotdGVXapIyNjU2h16ampqr8Wk0rS7sKHDhwAGlpaRg5cqSaoyu9srTrxIkTyMzMhL+/P/7991+cPXsWe/bs0VSoKitLm/Q5X+ijsuQwANIZFXNzczRt2lQro2yGmqPKmoP0ua+zsrKwcOFCfPnll6hbty4Aw+jrouIG9LuvK1WqhBkzZmDlypX45JNPkJ2dbRB9XVTcgPr62iCLYzc3Nzx69AhZWVkAgMuXL6N79+5ISkqSTs91794dV65cAQDcvn0bTZo0gaWlJdq1a4eHDx9K23r06BHq1aun9TYUpSztiomJgb29vbQte3t7aTu6pEqblOnSpQuuX78OIQQA4MqVK+jatavGY1ZFWdoFAL///jvi4+MxceJE3L59GxEREZoOWSVladfcuXMxduxYjB07Fo0bN0anTp3wn//8RxthF6ssbdLnfKGPypLDzp8/X+jU7YMHD1CnTh29iFkZXeaossStz32dkZEBb29vjBo1Ci1atMCRI0cA6H9fK4tbn/t6y5YtUn86OjoiMTERmZmZet/XyuJWZ1/LRMEeDMzZs2dx5MgRVKtWDSYmJvD09MSKFStgbW2NsWPHIiMjAz4+PrC3t0dkZCTGjRsnXRG9c+dOPHz4ECYmJsjIyICXl5de3NUBKH270tLSsGDBAtSqVQtGRkaIjo7GokWL9GJ+5OvaJITApk2bsHv3brz55pvo378/unTpAiD/itmwsDDI5XLUq1dPr+5WUdp2HT9+HF5eXmjWrBkAICkpCfPmzUO7du103KJ8ZXm/AGD37t3YuXMnHBwcMHToUHTr1k2HrclXljbpc77QR6XNYbdv38b69evRvHlzPHnyBA4ODhg3bpxexKyvOaq0cetzX3t6euLOnTuoXr06ACAtLU06A6XPfa0sbn3u602bNiE2NhY1a9ZEeHg4WrdujcGDBwPQ775WFrc6+9pgi2MiIiIiInXj8AcRERERkQKLYyIiIiIiBRbHREREREQKLI6JiIiIiBRYHBMRERERKbA4JiIiIiJSYHFMRERERKTA4piIiIiISIHFMRERERGRAotjIiIiIiIFFsdERERERAosjomIiIiIFFgcExEREREpsDgmIiIiIlJgcUxEREREpMDimIiIiIhIgcUxEREREZECi2MiIiIiIgUWx0RERERECiyOiYiIiIgUWBwTERERESmwOCYiIiIiUmBxTERERESkwOKYiIiIiEiBxTERERERkQKLYyIiIiIiBRbHRBoWHR2N999/X9dhEBHRS5ifqSgyIYTQdRBE5V1ycjKqVKkCANi7dy8CAgKwfft2HUdFREQv5ufXmTVrFmrVqoXJkydrOCrSJY4cE2mBqomXiIi0i/mZXsaRY3qtXbt2wc/PDy1btoSVlRUuX76MJk2awNPTE6tXr8bNmzcxcuRIDB8+HACQnZ2N1atX48qVK5DJZOjUqRMmTZoEmUyGO3fuwMfHBxkZGcjOzoa7uzsGDx4MAPD09MSpU6cwefJkhISE4M6dO4W2+7LU1FQsW7YM4eHhAID69etj+vTpsLGxwf3797FkyRJkZGQgNzcXEydORNeuXXH16lXMnz8fz58/x7Bhw3Dy5Ek8e/YMvr6+qF+/PgAgMjISixcvlmLs3LkzJk+ejNTUVCxcuBDR0dGQyWRo1KgR5s+fjydPnmDUqFFISEjAkCFDMG3aNKxYsQJ79uzBmDFjcPbsWQQFBeHEiRN49OgRFixYgKdPn6Jp06Zo3LgxwsPDcf78eXTv3h1+fn4IDAzEypUr0bp1a/j6+mrhHSYidWPeLFveHDt2LAIDA/HLL7/A1NQUDg4OWLRoESwtLQu1JysrC2PGjMGFCxfw1VdfITg4GLGxsRgwYADGjh37St8CQKtWrfDVV1/BxMQEn376qZSfjYyMMHXqVISGhmL58uXYt28fHj9+jGXLlqF169bYtm0b/P39YWZmhlq1aqF///744IMPMGvWLMTHxyM3Nxeurq6YPXu2+g8o0i5BpAJfX1/RtWtXkZycLDIzM0WHDh3E3LlzRV5enggLCxNubm4iOztbCCHExo0bhYeHh8jJyRFZWVli8ODBIjAwUAghREhIiAgJCRFCCJGVlSV69+4tIiIipP306NFDeHt7CyGECA0NLbTdl82bN0/MmjVLCCFEbm6uGDdunAgKChLZ2dnivffeE3v27BFCCPHgwQPRqlUr8eDBAyGEEEFBQaJ58+bi4sWLQgghvL29xfz584UQQuTk5Ig+ffqIvXv3CiGESE5OFl26dBFCCJGYmCi1QwghvLy8xG+//SaEEOLWrVuidevWIj09XQghRHx8vBSbEEI0btxYREVFCSGE2LNnjxgxYoT0XFZWlmjbtq24dOmStGzcuHEiLy/vdW8LEekx5s3S581//vlHtG3bVsTHxwshhFi+fLmYM2eO0r5u3LixWLFihbTPTp06iTNnzgghhFi/fr349NNPRU5OjsjJyRGjR48W69evL/TagvwcFRUlGjduLA4dOiSEEMLf31+MHj26UPy+vr7S4x07dogFCxZI/eDu7q40RjIcnFZBKnN1dYWVlRVMTU3h5OQEFxcXyGQyuLi4IC0tDfHx8QCAgIAADBo0CHK5HCYmJujduzf2798PAHBycsLu3bsxZMgQjB49GnFxcbhx40ah/XTp0gUAXtnui/Ly8hAYGAh3d3cAgJGREWbNmoWGDRsiNDQU0dHR6N+/PwCgbt26aNmypRQDAFSuXBlt2rSR9hMdHQ0ACAkJQWRkJPr16wcAsLKywpo1awAAVatWxaNHjzB06FB4eHjgwoULuH79urSN2rVr4/jx4wCAw4cPq3yRh4mJCfr27YvAwEAAwI0bN6S+JSLDxrxZurwZEBCAnj17wsbGBgDQr18/HDhwAKKYk919+/YFAFhbW6Nr1644dOgQAGDfvn0YOHAg5HI55HI5BgwYgL179xb7vnXt2vWVdhbF2toaly5dQkhICORyOXbs2FHsdskwGOs6ADIcFhYW0v+NjY2lx8bG+YdRdnY2ACAmJgZbt26Vkk9qaqo0p2v58uVITk7Gzp07IZfL4eHhgYyMjEL7KThtZmZmVmi7L0pISEBWVpaUOAGgXr16AIDg4GBUqVJFigsAbGxsEBsb+8o+CvZTsI/Y2NhXXvvmm28CyE/Wu3btQmBgIKytrbFu3To8fPhQWm/gwIEIDAzEBx98gHPnzmHo0KHKuvIVAwcOxGeffYZ58+Zh3759+Pjjj1V+LRHpL+bN0uXNmJgYhIeHw8PDAwCQk5MDOzs7JCYmFor/RS/OHba2tsa///4rbatatWpK21WUF/uzqL4s0LdvX+Tk5GDp0qVISkrCyJEjMWzYsGK3TfqPxTGpXY0aNTBhwgT06dMHQP5oRXJyMgDg6tWrGDZsGORyOYCiE7gqbGxsYGpqioSEBDRo0ABAfoI2MjKCo6MjkpOTkZOTIyXrhIQEaW5ccYp6bXh4OGrVqoWrV6/C1dUV1tbWAPKT9Yv69euH1atXIygoCPXq1ZPaqApXV1fY2tri2LFjuH//vtQmIqoYmDcL580aNWqgTp068Pb2ltZNSEhQWhgDwLNnz1C7dm0AQGJiIuzt7aVtJSYmFtqOg4PDa9ulioSEBLz//vsYMGAAbty4gVGjRsHZ2Rnt27dXy/ZJNzitgtRu0KBBOHjwIHJzcwHkjxxs3rwZQP6putDQUADAkydPcPv27VLtw8jICAMHDpRGWfLy8jB37lzExcWhZcuWqFu3Lg4ePAgAiIqKQmhoqHS6sDgvvzYpKQlTp06FXC6Hk5MTbt26haysLOTk5OD8+fOFXmtnZ4f27dtjxowZGDBggNJ9WFhYID09HQAwefJk6cNiwIABWLZsGTp16lTyDiEig8a8WThvDho0CKdOncKzZ88AAPfu3cOECROKjePIkSMA8gvj06dPS9MsBg0ahP379yM3Nxd5eXnYv3+/NLWkpAryd1paGqZNm4adO3fi1KlTAIDGjRujatWqyMvLK9W2SX/wbhX0WgcOHMCaNWuQmZmJSZMmISEhAT/99BPs7OywbNkybNmyBceOHUPLli3h7+8PCwsLfPfdd7hw4QLMzMzg6OiIxYsXw9zcHOHh4ZgxYwZMTEzg7OyMsLAwZGdnw9vbGwEBAfjjjz/g7OyM9evXw8fHp9B2C0YeCqSmpmLp0qW4d+8ehBDo16+fdIV2wZXT6enpyM3NxYQJE9CtWzfcvXsX06ZNw7179zBo0CB8+OGHmDlzJp4+fYqPP/4YM2fOLHTVdV5eHqZOnYq2bdsiLS0NM2bMwL1799CoUSPk5uYiJCQEn332GUaNGgUgf86cv7+/NH8YgHQ1dMuWLbFu3TpUqlQJI0eOhJmZGVq0aIF58+YBAB4/fox33nkHp06dgq2trVbeWyLSDObNsuVNIH+u8M6dO1GpUiWYmJhg3rx5SkeyXVxcMGfOHJw+fRqPHz/GgAEDMG7cOAD5I+1r167FpUuXABR9t4qC/Dx58mSEhoaiZ8+emD9/PiZMmIB79+6hT58+WLFiBa5cuYLZs2fD0tISn376KerUqYM1a9ZACIGUlBR06tQJ06ZNU+ORRLrA4phITyQnJ2POnDlYv369rkMhIjIoLi4uOHHihDStgqgsOK2CSMdOnTqFhIQEHDx4kD9jSkREpGMsjol0LDIyEsOGDcPp06fx7rvv6jocIiKDkZWVJd3R4quvvnrtXSiIVMFpFUREREREChw5JiIiIiJS0Mh9juPinpf6tdWqVUZiYpoaoykf2C+vYp8Ujf3yKn3pE3t7K41tu7zlXcakGsakGsakGn2LSR3xlCbv6t3IsbGx6j+cUJGwX17FPika++VV7JPi6WP/MCbVMCbVMCbV6FtMuorH4H8h79C9oyVav68zL3giItIHyvI38zQR6ZLejRwTEREREemKwY8clxRHKoiIiIhIGY4cExEREREpsDgmIiIiIlKocNMqiIhIu0p64TQRkS7pXXH8W9hBpKVmvrKcc4KJiIiISNM4rYKIiIiISEHvRo6JiKhiO3TvKCrHmhV5FrEoPLNIROrEkWMiIiIiIgUWx0RERERECiyOiYiIiIgUDGbOMW8FRERERESaZjDFsabxZ6WJiIiIiMUxERGpBc/wEVF5wDnHREREREQKLI6JiIiIiBQ4reI1OBeZiIiIqOLgyDERERERkQJHjomIqER44R0RlWccOSYiIiIiUuDIcSlxLjIRlRe/hR1EWmrmK8uZz8qvwDP3ilw+sIuzliMh0j8sjomIqEiGMn2CgxVEpE4sjkntOCJBREREhopzjomIiIiIFDhyXA5oeqSWI8FEZIg43YKISoPFsRYwQRMREREZBhbHREREpVDUWbWSnlHTtzNz+hYPkS6wOFYzQ7m6m4ioouLZPCIqDotjHVKWoG9FJr6yzMTEGHXzWpVo+xwBICJSnTqKZl3lXX3ar4WFGd5pXUuj+yXSJBbHVG6o4xQnEZGqwnMvvrKsgfwtHUSiecqKb6LyiMWxDhU1QqwNTHJERIbp5fxtYWGG1CJ+3VDZ+kT0eiyOqdTUlXRLuh2OBhMREZGmsDh+DWWju03qVivR+upQ1Cm84pT303uvGzF5cV1VKSu8OX+bqOIqmItcOdYMaa/JOcpUtBHckuZMTebYwDP3ivy8YP4mZcptcVzSopY0rzx+OBh60Wzo8VPFUtLBB3Xl+4L9mpgYIzs7p9h1lQ1iKBusULZ+4JkSBGhANPk5oG+fMa+L5+WCnXlXf5Tb4piUK2nyrkj0LbkSkfbo05k/5ul8+pSTOZhQcVS44lhXF8EZAnWNeFS05K0OhpJ0SxKnobRJGUOP3xAUl49VGaXVxH4NFfNxyRnK37i+xVkR7gwlE0IIXQdBRERERKQPjHQdABERERGRvmBxTERERESkwOKYiIiIiEiBxTERERERkQKLYyIiIiIiBRbHREREREQKLI6JiIiIiBR09iMg586dw9GjR2FrawuZTAZPT89Cz2dmZsLHxwcODg64f/8+xo4di/r16+soWu14XZ8AwOHDh7F69WrMnTsXPXr00EGU2ve6fvH398fTp09hZ2eH69evY8qUKWjQoIGOotWO1/XJ4cOHceLECTRp0gTXrl3DwIED0bNnTx1Fqz2q/A0BwP79+zFjxgxcvnwZFhYWWo5S88qSX/ft24ebN2/CyMgIdevWxZAhQwAA0dHR2LhxI5ycnPDw4UN4eXmVqO9KG9PVq1exbds2NGvWDBEREXB1dcXHH38MAFiwYAEiIiKkbcybNw8uLi4a76OePXuiVq1aAIDq1atj1apVOu2j4OBgLF68GDY2NgCA+Ph49OnTB5MnTy5TH6kSE6D8c0lXx5KymDR1LJUlJkB3x5OymHR5PBX3ea6p46lIQgfS0tLE22+/LTIzM4UQQnh6eopz584VWsfPz0/4+/sLIYS4deuWGDp0qNbj1CZV+iQyMlKcP39ejBgxQvz111+6CFPrVOmXNWvWiLy8PCGEEIcOHRLjxo3TepzapEqf7NmzRzx8+FAIIcT169fFO++8o/U4tU2VfhFCiLt374rVq1eLxo0bi5SUFG2HqXFlya+PHz8W/fv3l/6e3N3dRUREhBBCiNGjR4vQ0FAhhBA///yzWLNmjVZiOn78uLTfrKws0aZNGxEfHy+EEMLX11flGNQVT3H71VUf3bt3T1y/fl1ab/bs2SI6OrrYWNUVk7LPJV0eS8pi0sSxVNaYitu3rvpJl8eTss9zTR1PyuhkWkVISAhq1qwJU1NTAEDr1q1x8uTJQuucPHkSrVq1AgC4uLjg1q1bSElJ0XaoWqNKn9SpUwft27fXQXS6o0q/TJ06FTKZDACQl5eHypUraztMrVKlT9zd3VGzZk0AwIMHD8r9SDqgWr+kp6fjhx9+wKRJk3QQoXaUJb+eOXMGzZs3l/6eWrVqhdOnTyM7OxvBwcF44403pG2eOnVKKzH16tULrq6u0npyuRwmJiYAgNTUVGzatAn+/v7YsWMHcnJU+7npsn4GXbx4Ed9//z3Wrl2Ly5cvA4BO+6h+/fpo1qwZAODp06fIysqSRiJL20eqxqTsc0mXx5KymDRxLJU1JkB3x5OymHR5PCn7PNfU8aSMTqZVxMfHFxrytrS0RHx8vErrWFpaai1ObVKlTyqikvRLVlYWAgIC4O3tra3wdELVPsnIyMC6detw4cIFrFy5Upsh6oQq/bJmzRpMnDhRSs7lUVnya0JCQqHlFhYWiI+PR2JiIipVqiR9MJU0P6kr5+/cuRPjx4+HlZUVAKBfv35wcXGBsbExVqxYAT8/P5W++JQ1nunTp8PV1RXp6ekYNGgQ/Pz8YG5urhd99Msvv0inm4HS95GqMSmjy2NJFeo6ltQRk66OJ1Xo6nh6+fNcU8eTMjoZOba1tUVqaqr0OCUlBba2tiVepzypaO1Vlar9kpWVhYULF+LLL79E3bp1tRmi1qnaJ5UqVcKMGTOwcuVKfPLJJ8jOztZmmFr3un55/PgxkpOT8ccff8Df3x8AsHXrVly7dk3rsWpSWfKrjY1NoeWpqamwtbVFtWrVkJGRASGE0m1qKqYCBw4cQFpaGkaOHCkta968OYyN88d42rdvj6CgIK3EUzD6aG5ujqZNm+Ly5ct60UdZWVkICwtDmzZtpGWl7SNVY1JGl8fS66jzWFJHTLo6nl5HV8dTUZ/nmjqelNFJcezm5oZHjx4hKysLAHD58mV0794dSUlJ0mmr7t2748qVKwCA27dvo0mTJuV21BhQrU8qIlX6JSMjA97e3hg1ahRatGiBI0eO6DJkjVOlT7Zs2SIlC0dHRyQmJiIzM1NnMWvD6/qlRo0aWL58OcaOHYuxY8cCAEaNGiWdjisvypJfu3TpguvXr0vHzpUrV9C1a1eYmJigXbt20heJy5cvo1u3blqJCQB+//13xMfHY+LEibh9+7Z0QZCPj4+0jwcPHsDJyUnj8Zw/fx6nT58utN86derovI+A/KKvb9++hbZb2j5SNSZldHksFUfdx1JZY9Ll8fQ6ujielH2ea+p4UkYmCvakZWfPnsWRI0dQrVo1mJiYwNPTEytWrIC1tTXGjh2LjIwM+Pj4wN7eHpGRkRg3bly5v1vF6/pECIFNmzZh9+7dePPNN9G/f3906dJF12Fr3Ov6xdPTE3fu3EH16tUBAGlpadizZ4+Oo9as1/XJpk2bEBsbi5o1ayI8PBytW7fG4MGDdR22xr2uX4D803O//vorvvvuO0ycOBFDhgyBg4ODjiNXr7Lk13379iEsLAxyuRz16tUrdEX4hg0bUKdOHTx+/BizZs0q0RXhpY3p+PHj8PLykuZAJiUlYd68eWjXrh1mzZoFOzs7VKpUCREREZg9ezbs7Ow0Gs/t27exfv16NG/eHE+ePIGDgwPGjRun0z4q8Pnnn2Pjxo3SPFoAZeojVWIq7nNJV8eSspg0dSyVJSZdHk+vqyl0cTwV93muqeOpKDorjomIiIiI9A1/BISIiIiISIHFMRERERGRAotjIiIiIiIFFsdERERERAosjomIiIiIFFgcExEREREpsDgmIiIiIlJgcUxEREREpMDimIiIiIhIgcUxEREREZECi2MiIiIiIgUWx0RERERECiyOiYiIiIgUWBwTERERESmwOCYiIiIiUmBxTERERESkwOKYiIiIiEiBxTERERERkQKLYyIiIiIiBRbHREREREQKLI6JiIiIiBRYHBMRERERKbA4JiIiIiJSYHFMRERERKTA4piIiIiISIHFMRERERGRAotjIiKicmTlypVwd3dHv379cOLECZ3FceLECfTu3RseHh4qrb9kyRK0adMGe/fuBQBkZmaiW7duSE9P12SYJdKvXz88ePBA12GQhrE4JtIwDw8PKdkTEWlSZGQkdu7ciV9//RXr1q2Dubm5Wre/d+9elYvdXr16YezYsSpve/78+WjatKn02MzMDAcOHFB7G8pi586dcHJy0nUYpGHGug6AiIiI1CMmJgbVqlWDqakp6tWrh3r16uk6pDKpUqWKrkMoRN/iIc1gcUzF2rVrF/z8/NCyZUtYWVnh8uXLaNKkCTw9PbF69WrcvHkTI0eOxPDhwwEA2dnZWL16Na5cuQKZTIZOnTph0qRJkMlkuHPnDnx8fJCRkYHs7Gy4u7tj8ODBAABPT0+cOnUKkydPRkhICO7cuVNou0XFtWfPHpibm6NSpUqYOXMmDh06BD8/PzRq1AjfffcdMjIy8OWXX0IIgbFjx8LPzw92dnZwdXVFUFAQqlWrhiVLlmDNmjW4du0a3nvvPXz55ZfIysrCmDFjcOHCBSxYsAB//fUXoqKi8M033+DatWs4evQohBDYtGkTbGxsAABhYWFYtmwZZDIZ5HI5FixYgAYNGmDVqlW4efMm4uLiEBAQgDFjxuDkyZM4ePAgRowYgbt37+LSpUuQyWRIT0+Ho6MjlixZAmdnZ4wZMwbPnj3Dpk2b4OLiop03nIhUoo+58erVq/jmm28QFxcHDw8PvP3224iIiHgl3wwbNgy9e/dWuk8A2L9/P3bs2IFKlSoBACZMmAC5XA5/f388ffoUHh4eaNy4MebPn49du3YhICAApqamkMlkmD9/Pho2bKhSP167dg3e3t4wMzPDG2+8ASGE9Ny0adNw9OhR/PDDD2jVqpXa8vLL7921a9dgZ2eH9evXw8zMDE+fPsWsWbOQmZmJnJwc9OjRA2PHjsXy5cuxe/duzJkzB+7u7gCAwMBA/PLLLzAxMYGNjQ28vb2lbf33v//Fe++9h+TkZNy6dQvNmzeHj49PKY420jpB9Bq+vr6ia9euIjk5WWRmZooOHTqIuXPniry8PBEWFibc3NxEdna2EEKIjRs3Cg8PD5GTkyOysrLE4MGDRWBgoBBCiJCQEBESEiKEECIrK0v07t1bRERESPvp0aOH8Pb2FkIIERoaWmi7L0pJSRFt27YVmZmZQgghfvrpJ7Fnzx4hhBDjxo0TmzZtktZdsmSJiIyMFEIIsWfPHuHm5iYePnwo8vLyxIABA8Tnn38uMjMzxdOnT0Xz5s1FbGys9NrGjRuLH3/8UQghxNatW0XXrl3FlStXpP34+fkJIYRITk4W7dq1E+fOnRNCCPH333+Ld999V+Tm5gohhBgxYoQUX4ERI0aIUaNGiZycHHH37l3x22+/iSVLloh58+ZJ62zZskWcP39epfeIiLRP33KjEEIEBQWJHj16FFpWVL4pbp+XLl0SHTt2FPHx8UIIIf744w/h5eUlhMjPoyNGjCi0/f/+979SPg4KChJDhw6Vnitq/QKZmZmia9eu4sCBA0IIIW7cuCFatGhRKF/26NFDBAUFSY/VlZd9fX1F586dRVJSksjNzRV9+/aV4vDx8ZG2k5qaKoYMGVKoLwviu3jxomjfvr3UTxs2bBCffPKJtK6Xl5cYMGCAyMzMFBkZGaJt27bi8uXLRfYF6RfOOSaVuLq6wsrKCqampnBycoKLiwtkMhlcXFyQlpaG+Ph4AEBAQAAGDRoEuVwOExMT9O7dG/v37wcAODk5Yffu3RgyZAhGjx6NuLg43Lhxo9B+unTpAgCvbPdFcrkcQP439vT0dAwfPhwffPABAGDgwIHYt28fgPyRmkePHqFOnTrSa+vXr4+aNWtCJpOhYcOGcHZ2hqmpKWxtbWFjY4Po6OhC++rYsSMAoHHjxsjIyICbm5sUX1RUFADg77//RuXKldGhQwcAQPfu3fH06VOEhoYW26fdunWDXC5HgwYN8NFHH2HAgAH4888/kZmZCQAIDg5G27Zti90GEemWPuXG4rycb4rb5969e9G1a1dpBPbtt9/G0KFDlW67YcOGGD9+PIYNG4ZVq1bh+vXrKsUUEhKC+Ph49OnTBwDQtGlTlaaBqCsvt2zZElWrVoWRkREaNWok5X9ra2ucOXMGd+7cQeXKlfHjjz8WGUdgYCC6d+8u9dN//vMfBAUF4dGjR9I67dq1g6mpKczMzODk5PTKZwzpJ06rIJVYWFhI/zc2NpYeGxvnH0LZ2dkA8ue7bd26VboALTU1VZqjtXz5ciQnJ2Pnzp2Qy+Xw8PBARkZGof1YWloCyL8Q48XtvqhSpUrYsWMH/Pz8sHbtWnTv3h3Tp0+HjY0NevbsiQULFuDq1at48uSJ9IHyunYUPH55fwXPy+VypevGxMTg2bNnhS5SsbGxQVJSUhE9+f+srKwKPX7jjTdQvXp1nDhxAs7OzmjUqBGMjPj9lUif6VNuLM7L+aa4fcbExBSaymVsbIyWLVsWud3nz59j3Lhx+Oabb9C7d29ER0ejV69eKsUUFxeHKlWqSAMeQH5h+jrqyssFfQrk92vBa8eMGQNzc3N8+eWXkMvlGD9+vFTAv+jlfqpWrZq0vGbNmsXug/Qbi2NSqxo1amDChAlSIsnLy0NycjKA/Plww4YNkxJhaZNEdnY2bG1tsXLlSjx//hyzZs2Cj48PfHx8YGpqit69eyMwMBDPnj3D/Pnz1dOwYtSoUQOOjo7Yvn27tCwlJQWmpqYl3taAAQOwb98+ODs7S3PaiMjwaSM3lkRx+6xRowYSEhKkxzk5Obh79y6aNGnyynYiIiKQkpIiDUTk5OSoHIO9vT2Sk5ORk5MjfZl43aCCqsqSl+Pj4+Hh4QEPDw+cO3cO48aNQ/PmzVG3bt1X9vFiPyUmJgIAHB0d1dIG0h0OS5FaDRo0CAcPHkRubi6A/FOJmzdvBgDUrVtXOqX15MkT3L59u1T7iI2NlYpeKysrNG3aVNofkD+14tChQxBCqDQKUVY9evRAUlISrl69CgBIS0vDJ598gpSUFAD5oxzp6em4f//+ay/G6N+/P86ePYt///0XjRo10njsRKQd2siNJVHcPgcNGoTTp09Lhd/hw4elEe+CfAYAkydPRs2aNWFsbCzlvzNnzqgcg5ubG2xtbXH48GEAwM2bNxEeHl72xuH1ebk4BRdUAvnTZkxMTApdKFjg5X4KCAhA+/btpVFjMlwcOaZiHThwAAEBAcjMzMQvv/yChIQE6e4L9evXx5YtWwAAX331Ffz9/TFmzBh89913GDp0KMzMzODo6IjFixcDAGbMmIEZM2Zg8ODBcHZ2Ru3ateHv748aNWogICAAcXFxWLp0KdavXy8VkQXbfbHItbGxQdWqVTF06FAYGRnBzMwMX3/9tfR869atUbVq1UKnwc6fPy9dZe3r6wsHBwecOXMGZmZmaNKkCc6ePSvtf9WqVVi6dKm0/+XLl2Pp0qWIi4vDggUL0K1bN6lPtm7dilGjRsHPzw8+Pj4QQkAIgcmTJxeah7Zy5UoEBARg+vTpWLFihdSHz549w6hRo6Q4HR0d0aZNm1emgxCRftHH3Hj16lUpV3l4eGDevHnYt29fkfmmuH126NABM2fOxIQJE2Bqaopq1apJObF9+/bYvHkzhgwZghYtWsDOzg7z5s3D3Llz0ahRI+kewKNHj8bw4cOlvLtkyZJXzuSZmppi3bp1WLhwIX755Rc0atQILVu2hL+/P6pWrYrDhw9Lbf/mm2+wevVqqe1lycsvv3dyuVz6PKhXrx569+6Nr7/+GnK5HCkpKZg6dSqcnJywfPlyqS9tbGzQvXt3zJw5E+PHj4eJiQmqVauGVatWAQC2bt1a6DPm9u3b0msL+pj0l0wU9XWIyMCNGTMGmzZtKtXUBl2bNm0aZs2aBXt7e12HQkREVOFw5JjKjfv37yMxMRFWVlaoW7euQRXGSUlJCAkJQcuWLZGdnc3CmIiISEdYHFO58fz5c0ybNg329vbSqS1DkZWVhYULF8LW1hbe3t66DoeIiKjC4rQKIiIiIiIF3q2CiIiIiEhBI9Mq4uKeF7m8WrXKSExM08Quy0Qf42JMqtPHuPQxJkA/49LHmADNxGVvb/X6lUpJWd5Vlb6+D5pWUdsNVNy2V9R2AxWz7aXJu1odOTY2lr9+JR3Qx7gYk+r0MS59jAnQz7j0MSZAf+PSlIrW3gIVtd1AxW17RW03ULHbXhK8IK8cO3TvaJHL+zq/q+VIiIi0jzmQiEqDc46JiIiIiBRYHBMRERERKXBaBUl4CpKIiIgqOo4cExEREREpcOSYiIgIPHtGRPk4ckxEREREpMDimIiIiIhIgcUxEREREZEC5xxXQMrm1RER6TPOCSYibWBxXA7oqtjlBxURERGVNyyOSWtYTBMREZG+45xjIiIiIiIFjhyT2nFOMxERERkqFsektzgNg4gMDfMWkeFjcayHDt07isqxZkhLzSy0vLwm18Az94pcblJLy4EQUYXwYgFbVK4tbn0iKv9YHBsQfUvQtyITi1zepG61Em0nPPdi0dtBybZDREREVFYsjomIiDSM0y2IDAeLYyIi0iv6dpaMiCoWFsc6ZCgfAAVxqjI3z1Aom+c8sIuzliMhIn2hrqliJcERZSL9w+KY9JayD6q+rF+JiIhIQ1gck0QXoyZERERE+oTFMRERGTRDmaJGRIaBxTEREekVfTuLpSyeovBMG5HhY3FMr1XwwWBiYozs7ByV19eUl0eJirtQkBe1EOmvVSd36ToEvcUL9Yh0h8VxKZXkNB6TmeHgXSyIiIgqNhbHWqCu+XAlPdWob6cm1eXldhWMaBt6u4ioeMyBynGkmUh9WBwTEZFGKTsjQ5rHopmo5FgclwOanuNLRFSevJgzVb2WgogqDhbHVK4pu+CngfytEm2Hc5GJSBNKPrjB29YRaRqLY6qQwnMvFrm8pEWzprEoJ6IXVaR51ES6wuKYyg19ml7yy5FbSC3i9nIsaqk849xiwyleA8/cg4WF2St5SlmOKuncZX6xJ0PG4piIqIJTV6EENCxyqbIzNRWJpr+8l7QoD8+9CJN0Y2TnFp5vfeje3RLtV11T10qqqGOQFxmSurA4roD0aYSViMoPFsH6h/meqORYHOuhW5GJvILaQCgbQTNF8yKXl/RUo/JiQz2nJnmbJyqOsuPVpJaWA3kNFoCap+k+5jQM0ifltjhW14e+On7Ag4nbcJR05KsJ1DOPUF0/FKNMwQfPy6fOlRU5Jf2gKmp9fqgREZEh0rviuKRFbUmLiqLWrxxrhrQiLp4CDOfiCtINZceHaxX1bEcZ5SN6yuYLFj0XVPl+NTdi/fLfYMHfn7pGq9U1AsWLKpXjF/7yS13vrbKBhsAzJduOsjnNRelbwj9NnjkjZfSuOCYiIv3AOcSkLeo41pR9MX5526+btpj9ULXtFJjWfXCRyzV9Brukg4bqKvpLcjFkSQcwsx8WPZCj7UEJmRBCaHWPRERERER6ykjXARARERER6QsWx0RERERECiyOiYiIiIgUWBwTERERESmwOCYiIiIiUmBxTERERESkUOr7HJ87dw5Hjx6Fra0tZDIZPD09X1nn8OHDWL16NebOnYsePXpIy/ft24ebN2/CyMgIdevWxZAhQwAA0dHR2LhxI5ycnPDw4UN4eXnBwsJCK3FdvXoV27ZtQ7NmzRAREQFXV1d8/PHHAIAFCxYgIiJCev28efPg4uKi8ZgAoGfPnqhVK/9nzKpXr45Vq1YB0G1fBQcHY/HixbCxsQEAxMfHo0+fPpg8ebLG+8rf3x9Pnz6FnZ0drl+/jilTpqBBgwYAdHtcKYtLl8dVcX2ly+NKWVy6PK4OHz6MEydOoEmTJrh27RoGDhyInj17AtDscaUNr2t7ZmYmfHx84ODggPv372Ps2LGoX78+AOXHiaEoS9tDQkJw9uxZGBkZITg4GMuWLUONGjV00YwSK227i/sbNBRlec+XLVsGY2Nj5OXlISMjA/Pnz4eRkWGMIZal3StXroSJiQkyMzNhb2+PUaNG6aIJ+kWUQlpamnj77bdFZmamEEIIT09Pce7cuULrREZGivPnz4sRI0aIv/76S1r++PFj0b9/f5GXlyeEEMLd3V1EREQIIYQYPXq0CA0NFUII8fPPP4s1a9ZoLa7jx49L+87KyhJt2rQR8fHxQgghfH19SxSHumIqbt+67Kt79+6J69evS49nz54toqOji41XXTGtWbNGOnYOHTokxo0bJ4TQ/XGlLC5dHlfKYipu37rsK10eV3v27BEPHz4UQghx/fp18c477wghNHtcaYMqbffz8xP+/v5CCCFu3bolhg4dKj1Xln7XtbK0/fnz58LT01NaLzIyUqSmpmop8rIpS7uL+xs0BGVpe0hIiOjXr5+0Xr9+/cQ///yjpcjLpiztPnbsmBg/fry03qBBg0RYWJiWItdfpfpKFBISgpo1a8LU1BQA0Lp1a5w8ebLQOnXq1EH79u1fee2ZM2fQvHlzyGQyAECrVq1w+vRpZGdnIzg4GG+88Ya0zVOnTmktrl69esHV1VV6LJfLYWJiAgBITU3Fpk2b4O/vjx07diAnR/kv66gzJgC4ePEivv/+e6xduxaXL18GAJ33Vf369dGsWTMAwNOnT5GVlSWNLmm6r6ZOnSodO3l5eahcuTIA3R9XyuLS5XGlLCZAt8eVsrh0eVy5u7ujZs2aAIAHDx5II+yaPK60QZW2nzx5Eq1atQIAuLi44NatW0hJSQFQ9HFiKMrS9lOnTqFy5crYunUr1q9fj+vXrxf6+9FnZWl3cX+DhqAsbbe2tkZaWhpycnKQk5MDmUyG2rVra7sJpVKWdt+/f1/KfQBQu3ZtBAUFaS12fVWqaRXx8fGFTh9aWloiPj5epdcmJCQUeq2FhQXi4+ORmJiISpUqSR9CJdmmOuJ60c6dOzF+/HhYWVkBAPr16wcXFxcYGxtjxYoV8PPzw6RJk7QS0/Tp0+Hq6or09HQMGjQIfn5+MDc315u++uWXX6TTzID2+iorKwsBAQHw9vYGoD/H1ctxvUhXx1VRMenDcVVcX+niuMrIyMC6detw4cIFrFy5EoBmjyttUKXtytaxtLQs8jhxcnLSWvxlUZa2P3z4EKGhofj6668hl8vxySefwNraWukghj4p63te4OW/QUNQlrY7OTnh448/xhdffAEjIyN07NhRml6i78rS7tatW2P58uXIy8tDbm4ubt26JQ0OVGSlGjm2tbVFamqq9DglJQW2trYqvdbGxqbQa1NTU2Fra4tq1aohIyMDQvFr1iXZpjriKnDgwAGkpaVh5MiR0rLmzZvD2Dj/e0T79u1L9K2qrDEVjDqam5ujadOmuHz5st70VVZWFsLCwtCmTRtpmTb6KisrCwsXLsSXX36JunXrAtCP46qouAro6rhSFpOuj6vi+kpXx1WlSpUwY8YMrFy5Ep988gmys7M1elxpgyptL26doo4TQ1GWtltaWqJZs2YwMTGBkZER3NzccPHiRa3FXhZlfc+Bov8GDUFZ2n7ixAkEBwdjw4YNWLduHaKjo/Hbb79pLfayKEu7W7dujVGjRmHDhg3YuXMn3njjjUIjyRVVqYpjNzc3PHr0CFlZWQCAy5cvo3v37khKSpJOxynTpUsXXL9+XfpQuXLlCrp27QoTExO0a9cO165dk7bZrVs3rcUFAL///jvi4+MxceJE3L59W7oAyMfHR1rnwYMHJRo5KUtM58+fx+nTpwvtu06dOnrRV0B+wde3b99CyzTdVxkZGfD29saoUaPQokULHDlyBIDujytlcQG6O66UxaTr46q4vgJ0c1xt2bJFOnYcHR2RmJiIzMxMjR5X2qBK27t3744rV64AAG7fvo0mTZrA0tJS6XFiKMrS9nbt2uHhw4fSth49eoR69eppvQ2lUZZ2Fyjqb9AQlKXtMTExsLe3l7Zlb28vbUfflaXdmZmZaNy4MSZPnoyRI0ciKSkJb7/9ts7aoi9koiDrl9DZs2dx5MgRVKtWDSYmJvD09MSKFStgbW2NsWPHQgiBTZs2Yffu3XjzzTfRv39/dOnSBUD+1d9hYWGQy+WoV69eoau/N2zYgDp16uDx48eYNWtWia/+Lm1cx48fh5eXlzTfKikpCfPmzUO7du0wa9Ys2NnZoVKlSoiIiMDs2bNhZ2en8Zhu376N9evXo3nz5njy5AkcHBwwbtw4nfdVgc8//xwbN26U5tAC0HhfeXp64s6dO6hevToAIC0tDXv27AGg2+NKWVy6PK6UxaTr46q49xDQzXG1adMmxMbGombNmggPD0fr1q0xePBgAJo9rrThdW3PyMiAj48P7O3tERkZiXHjxqF+/frFHieGorRtB/KnQT18+BAmJibIyMiAl5eXwdy5oCztBor+GzQUpW17WloaFixYgFq1asHIyAjR0dFYtGiRwcw1L227ExISMGXKFLRr1w45OTno2LEj2rVrp+vm6Fypi2MiIiIiovLGML4GExERERFpAYtjIiIiIiIFFsdERERERAosjomIiIiIFFgcExEREREpsDgmIiIiIlJgcUxEREREpMDimIiIiIhIgcUxEREREZECi2MiIiIiIgUWx0RERERECiyOiYiIiIgUWBwTERERESmwOCYiIiIiUmBxTERERESkwOKYiIiIiEiBxTERERERkQKLYyIiIiIiBRbHREREREQKLI6JiIiIiBRYHBMRERERKbA4JiIiIiJSYHFMRERERKTA4piIiIiISIHFMRERERGRAotjIiIiIiIFFsekd6ZMmYI33ngDwcHBAIDo6Gi8//77Oo6KiIiIKgIWx6R3fH19YW9vLz2uXbs2fv31Vx1GRESkfzw8PLB3794ybyc6OhouLi5qiIiofGBxTAahSpUqug6BiIiIKgBjXQdA5cuuXbvg5+eHli1bwsLCApcuXYKdnR02b96MhQsXIjo6GjKZDI0aNcL8+fNhbJx/CJ46dQorV66EtbU1OnXqVGibn376KYKCgnDixAlERUVh0aJFsLe3x/bt23Hs2DEsW7YMbdu2xfLlywEA69evx5kzZ2BqagpbW1vMmTMH1atXfyXW+Ph4eHt7IzExEbm5ufjss8/w9ttv4+rVq5g/fz6eP3+OYcOG4fjx47hy5QoWL15cZNu2b9+O06dPY+PGjZDL5ahUqRIWLFgAJycnpf2xfft2zb8ZRFRurVq1Cjdv3kRcXBwCAgIwZswYdO/eHWfOnMH69ethamoKCwsLLFq0CA4ODhg6dCguX76MDz74ANOmTcOoUaNgYmKClStXYsGCBQDyR6IBYOLEicXm2RMnTuDbb7+FnZ0d3njjDZw/fx7Jycn466+/EBYWhmXLlkEmk0Eul2PBggVo0KBBkW1Qtq6yvNmgQQMcPHgQI0aMwN27d3Hp0iUMGzYMnp6e2LJlC44ePQq5XI569eph7ty5sLS0xMKFC4t8zeTJk7X2XpEBEkRq5uvrKzp27Cji4+NFTk6OWLFihUhMTBSBgYHSOl5eXuK3334TQggRHx8v3NzcxKVLl4QQQhw/flw0a9ZMBAUFSes3btxYREVFCSGE2LNnjxgxYkSh/Xl5eQkhhLhz547o06ePyMvLE0II8c033xTazotGjRol1q5dK4QQIjY2VrRt21baR1BQkGjevLk4e/asEEKI5cuXK21bZGSkcHNzE/fu3RNCCBEYGCjee+89kZ2drfQ1RERlNWLECLFnzx7pcUEuCg8PF0IIsWPHDvHpp59Kz3/22Wfim2++EdnZ2WLy5MkiNTVVCCFEVFSUaNy4caFtF5dnC553dXUVd+/eFULk58jk5GTRrl07ce7cOSGEEH///bd49913RW5u7iuxv25dZXlzxIgRYtSoUSInJ0fcvXtX/PbbbyIgIEC8//77Ii0tTQghxJw5c8Ts2bML9dPLryEqDqdVkEa4ubnBxsYGcrkcM2bMQNWqVfHo0SMMHToUHh4euHDhAq5fvw4gf9TY1tYWrVu3BgD06tULZmZmpdqvhYUFnj59iqNHjyI7OxvTp0/Hm2+++cp6sbGxOHv2LD788EMAQPXq1dG6dWscOnRIWsfc3BwdO3YEAHh5eSlt28GDB/HGG2+gfv36AIAPPvgAjx49wpUrV5S+hohI3Q4ePIgWLVrA2dkZQH4uOn/+PJ48eQIAWLx4MQICAjB9+nQMHToUlStXLtP+6tevL40Ke3l54e+//0blypXRoUMHAED37t3x9OlThIaGvvJaVdZVlje7desGuVyOBg0a4KOPPsK+ffvQp08fmJubAwDc3d2xf/9+5OTkKH0NUXE4rYI0wsrKqtDjgIAA7Nq1C4GBgbC2tsa6devw8OFDAEBcXByqVatWaH1ra+tS7bdGjRrw8/PD999/j8WLF6Nfv3744osvpOkbBWJiYgDkJ3SZTAYASExMROPGjZW2QdnymJgY2NjYSI/lcjmqVKki7aO4bRERqUtMTAzCw8Ol6REAUKtWLcTHx6N69eqoUaMGRo4ciV9//RUrVqwo8/6KyoXPnj0rtH8bGxskJSUVGevr1i1tDraxsUF2djbi4+Ph4OBQ7LaIisLimLTi6tWrcHV1lYreF7/R29vbIyEhodD6RSXTAiYmJsjKypIeJycnS/9PT09Hw4YNsXHjRsTFxWHy5Mn4/vvvMWXKlELbcHR0BJB/Z4yCpJqZmVkoLlXVqFEDERER0uPc3FwkJydL+yAi0oYaNWqgRYsW8Pf3l5Y9e/YMlpaWAPJz3O3bt9GgQQOsW7cO06ZNU7qt4vJscft3dHQsdE1FSkoKTE1Ny7SuKvt98TMk4f/Yu/OwqMr2D+BfGAYQcAMU97XUXBC1XHJD8y339bUyUXNfQlMzEXftTcUyfREzUTMrLS0FXN5yS4hUwBWkXFJRUAN1ABGQZeD5/eFwfqIzyMAMc2b4fq6rK+fMmXPu5zkz99w85zlnkpOhVCrh6uqq97aIAN6tgspI/fr1cfnyZeTk5ECtVuPUqVPSc927d0dycjLOnj0LADh69CgyMzN1bqtOnTq4efMmcnJykJ2dLd0PGXhShPv7+wN4UnQ3bNgQeXl5z23Dzc0NXbp0QUhIiLRsyZIlhbZVXP369UNsbCxu3boFAPjf//6HWrVqoU2bNnpvi4iouBwdHfH48WPcvHkTfn5+6NevH6Kjo6WzciqVCl5eXsjPzwcAbNiwARMmTMAnn3yCH374ARcvXpS2AzwZXAgMDMSFCxeKzLO69OjRA6mpqYiJiQEAZGZmYvTo0UhPTy/Vui8yZMgQ/Prrr8jKygIABAcHY+DAgVAoFHpviwgArIQQwtRBkOXYv38/1q5di+zsbHTu3Fk6dZeZmYmPP/4YN27cwMsvv4y8vDxcuHABEyZMwNixY6W7VVSqVAnt2rXDgQMHULFiRXzyySdYs2YNIiIi0Lp1a6xfvx5ubm74+OOPcenSJTRr1gyVK1fGr7/+Ci8vL/z73//Gf/7zH6hUKqjVari6umLFihVabwWnUqmwbNkyPHjwAADQrVs3TJkyBdeuXcNHH32EGzduwMPDA+vXr0eVKlV0tg0A/vjjDwQEBEh3q1i0aBEaNGhQ5GuIiErjyJEj+Pzzz1GxYkXMmTMHHTt2lHKRUqmElZUVZs+eDQ8PD3z00UcIDw/HvHnz4Orqirlz58LGxgazZ8/G0KFD8dFHHyEuLg6VK1fGxo0bYW9vrzPPenh4SLnT3d0dX3/9tRRTbGws/Pz8IISAEAITJkxAjx49tMava11deXP16tXYvXs3XF1d8c4772Ds2LHStgruVmFtbV3obhVFvYZIFxbHREREREQanFZBRERERKTB4piIiIiISIPFMRERERGRBotjIiIiIiINo9zn+P79R9K/q1Z1QEqK7ttymSu2y3xYYpsAtsvcVK3qABsb491a6um8a6ks9b2hL/bDE+wH9kGBovqhWjX9fwDG6CPHxvwyMCW2y3xYYpsAtsvcWGq7yhL78An2wxPsB/ZBAUP3g9n/Qt7BG4e1Lu/X6M0yjoSIiIxpd+wBZGZkP7ec+Z6IDIlzjomIiIiINMx+5JiIiMqHi9ceIDdX/dzyfo1MEAwRWSyzKY51TZ8gIiIiIjIUTqsgIiIiItIwm5FjIiIyT/peOM0zhURkShw5JiIiIiLSYHFMRERERKTBaRVERGQQnA5BRJaAI8dERERERBocOSYiIpMw9kgzf0GViEqCI8dERERERBocOSYionKFI8pEVBSOHBMRERERaVjsyDFHBoiI5O1yfIpe6yuV2r+yOHeZiAzJYotjIiIiffBWdEQElMPimCMARETlg66R6Wb1qpZxJERkTspdcUxERMXDwQQiKo94QR4RERERkQZHjomIqFzhdAsiKgqLYyIi0gsvXDM+TmkhMh1OqyAiIiIi0uDIMRERGZW+9zOWG13x92tUxoEQUZmQXXHM03VERObJUotgfXA6BJH547QKIiIiIiIN2Y0cExERWRqOKBOZDxbHGsHhN7QuH9yVk8qIiOh5nAZIZJlYHGtczzut4xkWx0Rk2VjklYy2Ocq8VzKR+WNxTEREepHbhXdyi4eIzBuLYyIiIhPRNaVPWbuMAyEiicUWx6b6eVBtiY7zlomIiIjMg8UWx4ai66/6iUNbl3EkRERU3h28cRgOSXbIzMgutJx3vSAyHLMvjk0112xR8DfIzVU/t7yx4rXnlvFOGEREJCe8tRyRbmZfHOvLHC7cYDFNRGSe5DSlD+D3BlFJmE1xbA5Frb50JTNDbUdXUmQSJSIqW7q+wxor9Ftf3yLbVLfp48g0mTOzKY5NRdf9j5XWZd91hiqmjY3FN5FlsMRBCbnRfY99wzBUkb0mdJdBtqMvFtlkCiyOLZi+xXRw+A04Otoh45kLPXRhsUtERESWhsWxgRl7FEAf2i4ONCRjTwvRRZ+iXFfBz8LefJjqTER5OgPCEWLzp+93j+5jbtxpGLpGgvV9D/bT8jGUW65Q1r6mdbm+o97lafRcLm21EkKIMt0jEREREZFMWZs6ACIiIiIiuWBxTERERESkweKYiIiIiEiDxTERERERkQaLYyIiIiIiDRbHREREREQaLI6JiIiIiDQM9iMgJ0+exOHDh+Hi4gIrKyt4e3sXej47Oxt+fn5wc3PDzZs3MWnSJDRs2NBQuzeKF7Vp7969+PHHH2FnZwcAGDZsGAYPHmyCSPVz//59rFu3DpcvX8aePXuee94cjxXw4naZ4/GKj4/HunXr0Lx5cyQmJqJKlSoW8dkqTrvM7Xjl5+djypQpcHd3R25uLhISErBixQrY29tL65jjsZKDF322y4PifGbKg+J8zsqLrKwsDB8+HF26dIGPj4+pwzGJt99+W/qOsLa2xvbt2w2zYWEAmZmZolevXiI7O1sIIYS3t7c4efJkoXU2bdokAgMDhRBCXL58WYwYMcIQuzaa4rRpz549IiEhwRThlcovv/wijh07JoYMGaL1eXM7VgVe1C5zPF7R0dHiyJEj0uM+ffqIixcvFlrHHI9XcdplbscrLy9PbNiwQXo8ZcoUERISUmgdczxWcvCiz3Z5UJzPTHlQnM9ZebFy5Uoxd+5csWrVKlOHYjL+/v5G2a5BplVcuHABtWrVgq2tLQCgbdu2CA0NLbROaGgo2rRpAwBo2rQpLl++jPT0dEPs3iiK0yYA2LFjB7Zu3YqAgACkpqaWbZAl1Lt3bzg6Oup83tyOVYEXtQswv+Pl7u6OXr16SY/z8/NRoUKFQuuY4/EqTrsA8zpe1tbWmDZtGgBArVYjKSnpuVFhczxWclCcz7alK+5nxtIV53NWHgQHB6Nt27aoU6eOqUMxqatXryIwMBDr16/XWqOVlEGmVahUqkKJy8nJCSqVqljrODk5GSIEgytOm1577TV4enrC2dkZYWFh+PDDDw03pG9C5nasisvcj9eRI0fQpUsXNG7cuNBycz9eutplrscrPDwc33zzDTw9PdGqVatCz5n7sSJ50PWZKU+K+pxZumvXruHGjRuYPXs2rly5YupwTGrixIlwd3dHXl4eRo4cCUdHR7z22mul3q5BRo5dXFyQkZEhPU5PT4eLi4ve68hJceKtW7cunJ2dAQAdO3bE6dOnkZeXV6ZxGoO5HaviMufjFRERgcjISMyfP/+558z5eBXVLnM9Xl27dsXWrVtx+/Zt7Nixo9Bz5nysSB6K+syUJ0V9zizdkSNHYGtri8DAQJw9exYxMTH45ptvTB2WSbi7uwMAFAoFXn31VURGRhpkuwYpjj08PHD37l3k5OQAAM6dOwdPT0+kpqZKpww9PT1x/vx5AMCVK1fQrFkzWY+WFKdNa9asgVqtBgDcvHkTderUgUKhMFnMpWHOx6oolnC8QkND8ccff2DBggW4f/8+zp8/bxHH60XtMrfjde3atUKn9erUqYPbt29bxLEiedD2mSlvdH3OypOpU6fC29sbkyZNQrt27eDu7o7333/f1GGVuevXr+Onn36SHt+6dQv16tUzyLathBDCEBs6ceIEDh06hKpVq0KpVMLb2xurV69GlSpVMGnSJGRlZcHPzw/VqlVDfHw8Jk+eLPt5Qi9q0/bt2/H333+jTp06uHr1KkaPHg0PDw9Th/1CUVFRCA4ORnh4OEaMGIFx48bB39/frI8V8OJ2mePxio2NxahRo9CyZUsAQGZmJkaOHIlr166Z9fEqTrvM7XjFx8dj9erVaN68OdRqNa5fv46FCxdi27ZtZn2s5EDbZ7u83Z1A12dm6NChJo6sbOn6nFWrVs3UoZW5Q4cOYceOHcjNzcXIkSPRv39/U4dUppKSkrB8+XI0b94c6enpUKvV8PX1hbV16cd9DVYcExERERGZO/4ICBERERGRBotjIiIiIiINFsdERERERBosjomIiIiINFgcExERERFpsDgmIiIiItJgcUxEREREpMHimIiIiIhIg8UxEREREZEGi2MiIiIiIg0Wx0REREREGiyOiYiIiIg0WBwTEREREWmwOCYiIiIi0mBxTERERESkweKYiIiIiEiDxTERERERkQaLYyIiIiIiDRbHREREREQaLI6JiIiIiDRYHBMRERERabA4JiIiIiLSYHFMRERERKTB4piIiIiISIPFMRERERGRBotjKnO3b99G3759TR0GERER0XNYHFOZq1OnDn788UejbLtnz56IjIw0yraJiIjI8rE4JpOoVKmSqUMgIiIieo6VEEKYOgiSr4CAAPzwww/w9PRESkoKkpKS4OLiglWrVsHZ2RkAEB4ejoCAANja2sLR0RHLli2Dm5ub9NrevXsjNTUV58+fR/v27fHPP/8gIiICx44dg7W1NWbOnIno6GisXLkSwcHBUKlUWLduHUJCQnDy5Em4uLggICAAdnZ2Re7P19cXBw4cQKNGjVCpUiX4+PigZcuWCA4Oxs6dO2Fraws3NzcsW7YMTk5OWLp0KQ4cOAAvLy9cu3YNZ8+exXvvvYfp06cX6oPc3Fx88cUXOH/+PKysrNC5c2d88MEHyM3Nxfjx4xEVFYXFixfj+PHjiIyMxIwZM3DgwAE8evQI7733Ho4ePYrz58/jypUruHnzJj755BNkZWUhLy8P06ZNQ7du3RATE4NFixZpfQ0RUUls2LABv//+O+zs7FChQgUsX74cbm5uOHbsGD777DO4urqiVatWOHXqFNLS0vDbb78hNjYWK1euhJWVFRQKBRYvXozGjRsXuT1t4uPjsXTpUuTk5CA/Px9z5sxB27Ztde576NChWr8vVq1aJeVwpVIJZ2dnLFmyBK6urjq/Y1atWlWW3UyWSBC9gI+Pj+jVq5d49OiREEKIhQsXitmzZwshhIiPjxceHh7i+vXrQgghvv/+ezFmzJhCr+3fv7/IzMwUaWlpYsOGDUIIIZo0aSISEhKEEEIkJCSIJk2aiEOHDgkhhPjPf/4j3njjDXHnzh2Rn58vBg4cKA4cOFCs/fXo0UNERERIj8+cOSPat28vVCqVEEKIVatWifnz50vPe3l5ibFjxwq1Wi2uXbsmdu/e/Vz7v/zySzFq1CihVqtFTk6OeOedd0RwcLD0fJMmTcT69euFEELs27dPxMbGioiICNGiRQtx4sQJab+5ubnirbfeEnv27BFCCHHr1i3Rpk0bcevWLSGE0PoaIqKS+vbbb0V+fr4QQog9e/aIOXPmSM/t2bNHuLu7i2vXrgkhnuSbtLQ00aFDB3Hy5EkhhBDHjx8Xb775psjLy3vh9p6mVqtF7969xU8//SSEEOLSpUuiffv20neItn0Lof374vTp06Jjx45SDt+wYYMYPXq0tC9d3zFEpcFpFVQs3bt3h5OTEwBg0KBBOHToEPLy8nDgwAG0bNkSjRo1AgD0798fp06dwr1796TXdurUCRUqVEDFihUxbdo0nft4/fXXAQBNmjRBpUqVUKtWLVhZWeHll19GQkICABRrf08LCgpCz549pVHuAQMGYP/+/RBPnTDp3r07FAoFGjdujOHDh2vdxpAhQ6BQKKBUKtG7d2/s27ev0Dq9evWStt+iRQsAQIUKFaQ2+fj4IDo6Grdv38bAgQMBAPXq1UPr1q0LbevZ1xARlVTNmjUxevRojBw5Etu3b8eff/5Z6PmGDRtKo8I+Pj44fvw4HBwc0KlTJwCAp6cnHjx4gOjo6GJtr8CFCxeQkJCAQYMGAQCaNWsGNzc3hIaG6tx3gWe/L4KDg+Hp6Snl8GHDhiEiIgJ3797V+Rqi0rIxdQBkHipXriz9u0qVKsjNzUVKSgoSExNx/fp1jBo1Snq+du3aUKlUqF69OgCgYsWKxdpHQfGtUCjg6OgoLbexsUFubi4AFGt/T3t2fbVaDVdXV6SkpEjJ9kXxJSYmYtu2bdi7dy8AICMj47k50wWxP+3Z7SYlJaFSpUqwsfn/j52zszOSkpJ0voaIqCRu3ryJmTNnYufOnXB3d0dkZCR8fX0LrfNsvklMTMTDhw8L5VdnZ2ekpqYWa3sFCnLauHHjpGU5OTl49OiRzn0XFVPTpk2lx1WrVpWW16pVq8htEZUUi2MqlocPH0r/TklJgVKpRNWqVVGzZk20bNkSgYGBhdbVViwagr77q1mzJurWrYslS5ZIy5KTk6XCuLj7nDp1Kvr06QMAyM/PR1pamt6x16hRA2lpaVCr1VKBnJycjIYNG+q9LSKiovz1119wdHSEu7s7gCcDAy9Ss2ZN1KhRA9999520LD09Hba2tjh69Gixt1ejRg0olcpC28nMzIS1tf4nq2vWrInk5GTpcUpKirQPImPhtAoqlj/++APp6ekAgODgYLz11ltQKBTo168foqOjcefOHQCASqWCl5cX8vPzjRLHi/bn6OiIrKwsREREYPv27RgyZAjCwsKk4v7GjRuYOnWqXvscMmQIDhw4gLy8PABPpll89dVXesfeunVr1KtXDwcOHAAAJCQkIDo6WppmQURkKPXr10daWhri4uIAPLmQ+UV69OiB1NRUxMTEAHhS0I4ePRrp6el6ba9169aoWbMmDh8+DOBJIf3BBx/g5s2berdjyJAh+P3336UCOSgoCB07dpRGjYmMgXeroBeaN28eKlSoAJVKhTt37sDZ2Rl+fn7S6Osff/yBgIAAKJVKWFlZYfbs2fDw8MC2bduwZcsW2NnZoXfv3pg7dy4AYMyYMYiIiEDr1q2xfv16TJ8+HdHR0ejZsyemTp2KuXPn4sGDBxg9ejTc3Nzg7+8POzs7zJo1CwMGDNC5PwD4/vvvsXPnTjg5OeHTTz/Fyy+/jJCQEOzYsQP29vZQKpVYuHAhGjZsiNWrV2P37t1wdXXFO++8g7Fjx2ptf25uLv773/8iKioKdnZ2qFGjBpYvX44KFSpg3LhxOHHiBFq3bo1Zs2ahU6dOuHbtGj766CPcuHEDHh4eWL9+PapUqQLgyRXcy5cvx+PHj5GXl4epU6eie/fuRb6GiKgk1q1bh3379qFp06aoVq0agoKC0KdPHwwZMgTLli3DgwcP4O7ujq+//lp6TWxsLPz8/CCEgBACEyZMQI8ePYrc3urVq5/bd3x8PJYtW4bs7Gzk5+dj6NCh+Pe//41Tp05p3beu7wsAUg4vOGO5dOlSuLq6FvkaotJgcUwvNG/ePNSuXfu5W5wRERERWRpOqyAiIiIi0uAFeVSkgIAAhIeHS9MJtN3qjIiIiMhScFoFEREREZEGp1UQEREREWmwOCYiIiIi0jDKnOP79x8Vely1qgNSUjKNsSuzxn7Rjv2iHftFO3Pql2rVjPdLXs/m3Rcxp37TF9tmviy5fZbcNkC+7StJ3i2TkWMbG0VZ7MbssF+0Y79ox37Rjv1SMpbcb2yb+bLk9lly2wDLap/Z3K3i4I3DWpf3a/RmGUdCRFQ+MO8SUXnEOcdERERERBosjomIiIiINFgcExERERFpsDgmIiIiItJgcUxEREREpMHimIiIiIhIg8UxEREREZGG2dznmIiIjEPX/YyJiMojsy+OeZN6IiIiIjIUTqsgIiIiItJgcUxEREREpGH20yp04XQLIiIiItIXR46JiIiIiDRYHBMRERERabA4JiIiIiLSYHFMRERERKTB4piIiIiISIPFMRERERGRBotjIiIiIiINi73PsS68/zERERER6cKRYyIiIiIiDdmNHOsa2SUiIiIiMjaOHBMRERERabA4JiIiIiLSYHFMRERERKQhuznHphIcfkPr8sFdG5VxJERERERkKiyOiYhIL7wlJhFZMostji/Hp2hd3qxe1TKOhIiIiIjMhcUWx7roKpobK8o4ECIiIiKSnXJXHOtyPe+01uXB4fpth3OUiai84rUbRGQJWBwTEZFWus606cIzcERkCcy+ONY3eRubrpETbSYObW3ESIiI5EGfvAhwpJmITMvsi2NLxFOTRETF92zOdHS0Q0ZGNnMmEZWI2RTHphoh1jUXWZfGiteKve7OQ5eRkZGtb0ilxuKbiIxBV77UJy8CzFFEZFpmUxyT8fELiYjkTN/pGZzOQUQlweLYwPQZaVY+tkFunvq55bpGWfRN9MZmrHh4SpSobBn7zJyhRpSNzZg5lvmMyHxYCSGEqYMgIiIiIpIDa1MHQEREREQkFyyOiYiIiIg0WBwTEREREWmwOCYiIiIi0mBxTERERESkweKYiIiIiEiDxTERERERkYbRfwTk5MmTOHz4MFxcXGBlZQVvb29j79IsvP3227CzswMAWFtbY/v27SaOyDTu37+PdevW4fLly9izZw8AIDU1FWvWrEHdunVx8+ZNzJ49G66uriaOtGxp65f169cjKipKWmfKlCno3LmzqUI0ifj4eKxbtw7NmzdHYmIiqlSpAm9vb75n9GAJOVnfvLFlyxakp6cjLS0NnTt3xhtvvGHK8ItUkve4ubQvPz8fU6ZMgbu7O3Jzc5GQkIAVK1YgKyvL7NtWICsrC8OHD0eXLl3g4+NjEcetgLa6xZLaV4gwoszMTNGrVy+RnZ0thBDC29tbnDx50pi7NBv+/v6mDkEWfvnlF3Hs2DExZMgQadmiRYvEwYMHhRBCHDt2TMyZM8dU4ZmMtn7he0aI6OhoceTIEelxnz59xMWLF/meKSZLycn65I0LFy6ICRMmCCGEyMnJEf/617/Ew4cPyz7oYtL3PW5O7cvLyxMbNmyQHk+ZMkWEhIRYRNsKrFy5UsydO1esWrVKCGE570shtH8HWVL7nmbUaRUXLlxArVq1YGtrCwBo27YtQkNDjblLs3H16lUEBgZi/fr15bpPevfuDUdHx0LLwsLC0KZNGwBP3jNhYWGmCM2ktPULAGzcuBFbt25FYGAgHj9+bILITMvd3R29evWSHufn56NChQp8zxSTpeRkffLG8ePH4eHhAQBQKpVo1KgRTp/W/nPWcqDve9yc2mdtbY1p06YBANRqNZKSktCwYUOLaBsABAcHo23btqhTp460zFLaBmivWyypfU8z6rQKlUpVKIE5OTlBpVIZc5dmY+LEiXB3d0deXh5GjhwJR0dHvPbaa6YOSxaeft84OTnh4cOHUKvVsLEx+iwgWevduzdq164NBwcH7NixA5988glWrFhh6rBM5siRI+jSpQsaN27M90wxWXJO1vUeSE5ORqNGjaT1nJyckJycbKow9VKc97g5ti88PBzffPMNPD090apVK4to27Vr13Djxg3Mnj0bV65ckZZbQtsKaKtbLKl9TzPqyLGLiwsyMjKkx+np6XBxcTHmLs2Gu7s7AEChUODVV19FZGSkiSOSj6ffN+np6ahcuTKLHAAvv/wyHBwcAAAdO3ZERESEiSMynYiICERGRmL+/PkA+J4pLkvOybreA87Ozs+12dnZ2VRhFltx3+Pm2L6uXbti69atuH37Nnbs2GERbTty5AhsbW0RGBiIs2fPIiYmBt98841FtK2AtrrFktr3NKMWxx4eHrh79y5ycnIAAOfOnYOnp6cxd2kWrl+/jp9++kl6fOvWLdSrV8+EEclL9+7dcf78eQBP3jPdu3c3cUTy4OfnJ/371q1bqF+/vgmjMZ3Q0FD88ccfWLBgAe7fv4/z58/zPVNMlpyTdb0HevTogQsXLgB4cir/+vXrsj9Lp8973Jzad+3atULTeOrUqYPbt29bRNumTp0Kb29vTJo0Ce3atYO7uzvef/99i2gboLtusZT2PctKCCGMuYMTJ07g0KFDqFq1KpRKpVleGW1oSUlJWL58OZo3b4709HSo1Wr4+vrC2rr83VkvKioKwcHBCA8Px4gRIzBu3DhkZWXh888/R61atZCQkICPPvqo3N15QFu/bNiwAY8fP4aLiwuuXr2KGTNmoGHDhqYOtUzFxsZi1KhRaNmyJQAgMzMTI0eORM+ePcv9e6a4LCEn65s3tmzZgrS0NDx8+BDdunWT9VXzJXmPm0v74uPjsXr1ajRv3lwqmBYuXAilUmn2bStw6NAh7NixA7m5uRg5ciS6dOliEW3TVbekpaVZRPueZfTimIiIiIjIXJS/oUoiIiIiIh1YHBMRERERabA4JiIiIiLSYHFMRERERKTB4piIiIiISIPFMRERERGRBotjIiIiIiINFsdERERERBosjomIiIiINFgcExERERFpsDgmIiIiItJgcUxEREREpMHimIiIiIhIg8UxEREREZEGi2MiIiIiIg0Wx0REREREGiyOiYiIiIg0WBwTEREREWmwOCYiIiIi0mBxTERERESkweKYiIiIiEiDxTERERERkQaLYyIiIiIiDRbHREREREQaLI6JiIiIiDRYHBMRERERabA4JllbunQpXn31Vezdu9fUoRAREVE5wOKYZGXUqFGFCuGlS5filVdeMWFERET0tGfzNJGlYXFMRERERKRhY+oASD7y8/OxbNkyXL16FQqFAvXr18eCBQtw6tQpfPbZZ3B1dYW7uzsiIiJQtWpVfPLJJ1i7di0uXryIt956C7NmzQIACCGwdetWHD58GAqFAg0aNMCCBQvg5OQEAPj999/x5ZdfQqFQwN7eHosXL0b9+vWxZs0aXLp0Cffv30dQUBDGjx8PT09PAEB8fDxmzJiBK1eu4K233sLs2bORk5OD8ePHIyoqCosXL0ZoaCji4uLg4+ODf/3rXwCAjIwM/Oc//8HNmzchhMCgQYMwYsQIAMDRo0exefNm2Nvbw9raGjNmzECbNm1w7tw5fPbZZ1AqlRBCYNy4cejRo4fWPtuyZQsOHz4MGxsbvPLKK/Dx8YGtrS28vb0RFhaGDz/8EGfOnEFUVBTGjRuH33//HdHR0Vi5ciWCg4Nx5swZHD58GPb29li2bBmSk5ORm5uLESNGYMiQIbh79y5mzpyp9TV16tQx8juCiIwlPj4ey5cvR1ZWFnJzc9GlSxdMnz4dgO4cuWvXLmzatAmtW7dGxYoVce7cOTRr1gze3t744osvcOnSJbz//vsYOXIkYmJisGjRIjx69AgDBgzA2bNn8fDhQ8ydOxddu3YFAOzatQtBQUGwtbWFlZUVFi1ahJdeegnAk9y5cuVKXL9+HQDQsGFDzJkzB9u2bXsuT4eGhuLAgQPw8vLCjRs3CuXpArpy5fXr17Fs2TIAgFqtxr///W8MHToUDx48wLx585CdnQ21Wo0ePXpg0qRJWvsyPDwcAQEBsLW1haOjI5YtWwY3NzcEBATghx9+QO/evZGamorz58+jffv2SE9Pfy4/L1y4EAMGDMAXX3yB8+fPAwDatGmD2bNnQ6lUas3pCxcuxNChQ43zBiHTEkQaoaGhYvz48dLjadOmiYSEBCGEEHv27BEeHh7izp07Ij8/XwwaNEhMnDhRZGdniwcPHogWLVqIpKQkIYQQQUFBom/fviIzM1MIIcT8+fOFr6+vEEKI+Ph44eHhIW7cuCGEECI4OFi89dZbIjc3VwghhJeXl9izZ0+huLy8vMSkSZNEfn6+SEpKEs2bNxeJiYnS802aNBGBgYFCCCEOHjwo3nzzTem5BQsWiI8//lgIIcSjR49Ez549xenTp4UQQnTs2FHcv39fCCHEkSNHhL+/vxBCiGHDhokLFy4IIYS4dOmS8PHx0dpfISEhonfv3iIzM1Pk5+eLGTNmiA0bNkjP9+jRQ8ybN08IIcSpU6fE8ePHRUJCgmjSpIkICgoSQgixdetWkZSUJMaMGSPtX6VSic6dO4uoqCghhND5GiIyT2q1WvTp00fs3btXCCFEWlqa6Nq1qxDixTnS399fdOvWTaSlpYns7GzRqVMnsWDBApGfny9iY2OFh4eHtG5ERIRo2rSpOH78uBBCiLNnzwoPDw+RnJwshBDihx9+ENnZ2dK6I0aMkGJcuHChlL/y8vLE5MmTRUREhBBCd56eOHGi1jxdVK6cMWOGOHjwoBBCiHv37knfQX5+fmLTpk1CCCEyMjLEu+++q7UvC/rr+vXrQgghvv/+ezFmzBjpeR8fH9G/f3+RmZkp0tLSpP1qy88BAQFizJgxQq1WC7VaLcaNGycCAgKkbWl7DVkmTqsgSaVKlXD16lWcOHEC+fn5+OKLL1CrVi3p+YYNG6JWrVqwsrLCSy+9hEaNGsHW1hYuLi5wdnbG7du3AQAhISHo06cPKlSoAAAYOnQo9u3bB7VajQMHDqBVq1Zo2LAhAKB///64e/eu9Je6Lp07d4aVlRWqV6+OqlWr4s6dO4WeLxgJadq0qfRcfn4+QkJC8O9//xsA4OTkhB49emDfvn0AgMqVK2P37t1IS0tDz549pVGJypUrIyQkBA8ePECzZs2wZMkSrTEFBQWhX79+qFChAqysrNC/f3+EhIQUWueNN94AAHTs2FEaBX96+bhx4yCEwKlTpzBs2DAAgLOzMzw9PZ+b0/f0a6pXr15kfxGRfF24cAHx8fEYMGAAAKBixYpYu3YtABQrR7q7u6NixYqwtbVF/fr10bRpU1hZWaFp06bIzMyESqWS1nV0dJRyT9u2beHi4oKwsDAAwEsvvYQpU6bgvffew5o1a/Dnn38CeJI7g4ODpVFRa2trzJs3TxpV1qVLly5Snq5SpYqUi4vKlZUrV8avv/6K27dvo1q1ali/fj0AoEqVKggPD8fff/8NBwcHfP3111r3eeDAAbRs2RKNGjWS+uvUqVO4d++etE6nTp1QoUIFVKxYEdOmTZOWP5ufQ0JCMHjwYCgUCigUCgwaNEhnHn42p5Nl4bQKkrRp0waffPIJNm/ejPnz5+Odd97B5MmTpecdHR2lf9vY2Dz3ODc3FwCQmJgIZ2dn6TlnZ2fk5uZCpVI995xCoUClSpWQmJhYZGwFUzIAwNbWVtrXs8/b2dlJzyUnJyMnJwefffYZ7O3tAQBpaWnSBX7btm3DV199hT59+qBdu3b4+OOPUbduXaxZswaBgYEYMmQImjRpgjlz5mi9KDAxMRH79+9HZGQkACA7OxvW1oX/3qxYsaLW9jy9vKDtz/ZZbGxssbZFROYlKSkJlSpVgo3N/38Ft2vXDsDz+VNbjtSViwu293R+rFy5cqF9V6lSBffu3cOjR48wefJkfPrpp+jduzdu374tFX4FufPpOBo0aPDCdj2dp5/OxUXlyvnz5+Prr7/GmDFjUL16dcyYMQOdOnXC+PHjUaFCBcyaNQsKhQJTpkxBnz59nttnYmIirl+/jlGjRknLateuDZVKJQ0iFCcPF2yratWq0mNnZ2ckJSUV+RqyTCyOSfLo0SO0b98e3bt3R3x8PCZMmAA3NzdpRLO4atasieTkZOlxcnIylEolXF1dUbNmTcTFxUnP5eXlIS0tDTVq1DBYOwo4OzvD1tYWixYtgru7O4AnXxpZWVkAnnzpLFu2DL6+vvDz84Ovry++//575OTkYO7cuZg9eza2bNmCadOm4fjx41rb+frrr2PChAmF2qqvgrYnJydLI/XJyclwc3PTe1tEJH81atRAWloa1Gq1VNBev34dtWvXNniOfPjwYaHHKSkpqF69OuLi4pCeni6ddVOr1dI6BbkzOTkZjRs3BvCkoLe2tka1atX0jqGoXJmWloZp06Zh6tSpCAkJwdSpU3Hy5Emkp6dj1KhRGDVqFE6ePInJkyejRYsWqFev3nPbbtmyJQIDAwu1+elCXZ84U1JSCsXIPFw+cVoFSY4cOYJdu3YBAOrVqwc3Nzfk5+frvZ0hQ4bg119/lYrQ4OBgDBw4EAqFAv369UNsbCxu3boFAPjf//6HWrVqoU2bNgCejIg8fvwYN2/ehJ+fX6naY21tjcGDB0vTKABg48aNCA4OBgBMmTIFeXl5sLe3h7u7O/Ly8gAAM2bMwOPHj2FjY4O2bdtKy3W1Mzs7GwAQGRmpcwpGUdzc3NClSxfp9F1KSgpCQ0P1/qOEiMxD69atUa9ePRw4cAAAkJqaipkzZxYrR+orKysLoaGhAIAzZ84gOTkZ3bt3R61atWBjY4OYmBgATy5qK1CQOwtyUn5+PhYsWID79+8D0D9PF5UrfX198eDBA1hZWeG1116DWq2GlZWVdIEh8GQaScEF0s/q168foqOjpSkcKpUKXl5eJf7u2rdvH/Ly8pCfn499+/bxgrtyykpoe7dRuXTjxg2sWrUKWVlZyMzMRNOmTbFkyRKcPXsWy5Ytw4MHDzB69Gi4ubnB398fdnZ28PX1xYkTJ7Bnzx40atQIa9aswUsvvSTdrcLa2vq5u1X88ccfCAgIkK7EXrRokXTK7siRI/j8889RsWJFzJkzB7///jt2794NV1dXrFy5EiEhIYX2tWLFCpw4cQKtW7fG1q1bMX78eERHR6Nz5874+uuvkZGRgRUrVuD69evSVdLz5s2DQqHAypUrER0dDaVSiby8PCxevBjNmjXD5s2bcezYMSiVSmRlZWH27Nno1KmT1j77+uuv8csvv6BChQpwcnLC8uXL4erqirlz5+KXX35Bo0aNMGHCBAwYMACpqamYNGkSoqOj0b59eyxZskSaw6dSqbBs2TKoVCrk5ubi3XffxdChQ4t8DRGZr6fvVpGfn4+ZM2eiffv2AHTnyP3792Pt2rXIzs7GBx98gOTkZHzzzTdSfty6dSuOHDmC1q1bIzAwEFeuXIGvry+GDx+OkydPIjU1FR9//DG6desGAPjhhx+wefNmvPzyy6hfvz62b9/+XO68ceMGhBAYMGAARo4cCUD/PP3SSy/pzJVBQUHYtWsXbG1tkZ6ejgkTJqBv374IDQ3F5s2boVAokJ6ejsGDB2P06NFa+7Kgv5RKJaysrDB79mx4eHhg27Zt2LJlC+zs7NC7d2/MnTsXALTmZ+DJmcV169bh7NmzAArfrULXa8gysTgmIiKyQJGRkfD19cVvv/1m6lCIzAqnVRARERERabA4JiIisjAxMTFYsWIF7t+/jxkzZpg6HCKzwmkVREREREQaHDkmIiIiItIwyn2O799/ZIzNlpmqVR2QkpJp6jAMwlLaYintACynLZbSDqDs2lKtmvF+QKC4edccj5u5xWxu8QKMuSyYW7yA+cWsLd6S5F2OHGthY6MwdQgGYyltsZR2AJbTFktpB2BZbXkRc2yrucVsbvECjLksmFu8gPnFbKh4+Qt5L3DwxmGty/s1erOMIyEikjfmSyKyBBw5JiIiIiLSYHFMRERERKTB4piIiIiISINzjkuIc+uIiIqH+ZKIzAlHjomIiIiINDhyXAY4akJERERkHjhyTERERESkUe5Gjo09iqtr+0RElsJQeY5n1YhIjspdcayvy/EpWpc3q1e1jCMhIiIiImPjtAoiIiIiIg0Wx0REREREGpxWofH03DeHJDtkZmSbMBoiIiIiMgWOHBMRERERaXDkuIR4oR4RERGR5eHIMRERERGRBkeONZ4eCVYqbZCbqy71dgpwNJmIiIjIPHDkmIiIiIhIg8UxEREREZEGi2MiIiIiIg3OOSYiIrPw9P3on9av0ZtlHAkRWTKOHBMRERERaVjsyLGuEQZd9yc2heDwG1qXK2tf07qcoyNEVB48m7/5q6VEVJYstjg2B9fzTmtd3gy89RsRERGRKbA4JiIirXSdgSMismQsji0AL1IhIkvy7PS3gh9m0vWDSrqmqOlrcNdGBtkOEZk3FsdlwFDznPUdxTl447DWuXosmomIiIi0Y3FMRERmQddAQ2OFYbavawRa14iytvU5+kxk/lgcExGRQeh7lkzXNAlT0XWRNMCCl6g8MfviuDxdMKLri0duXzBERMVhqltr6i6CiYgsoDjWRU73MyYiIuNhsUtEhmSxxbE507ew54gyEZVGeToDR0T0IiyOqcR4CzkiKg90XainbcQ6OBxwdLRDxjN3CdJ1oZ6uPJp75yWty3nBH5HxsTi2YJfjU6T7gxZevkvr+rpGmlnsElF5xmkbROWL2RfHnFtsfCW5v7I2hiqyOWJNZFrMu7pdzzsN5WMb5OYVHpRYE6pfga3v7elKexu6gtFujkwTmVFxbKhfQCL5YbFLRFSYrtHq4PAyDuQFDJW/+T1AciK74ljXB+R6HkcqjM3Yo0H6Tud4+r2g7Zf+ilq/gK7Eqm8ilttouL7r6zuqROwzkiddRXNjxWtalxd3vnTBaLeu4ltZ+1rxgyxiv6b4/MgpFjIPVkIIYeogiIiIiIjkwNrUARARERERyQWLYyIiIiIiDRbHREREREQaLI6JiIiIiDRYHBMRERERabA4JiIiIiLSYHFMRERERKQhux8BMYaTJ0/i8OHDcHFxgZWVFby9vQs9n52dDT8/P7i5ueHmzZuYNGkSGjZsCAAICQnBpUuXYG1tjXr16uHdd98FACxevBhxcXHSNhYuXIimTZvKth23bt2Cn58fbGxs4O/vL73m9u3b+PLLL1G/fn3cuXMHPj4+cHR0NLt2mOJ4lKYtMTEx2L59O5o3b464uDi4u7vj7bffBmBex6SodpjbMVGpVPD19UW7du2gUqmQm5uLRYsWwdra2iTHpCSMkevkGG9R7zu5xlxApVJh8ODBmDx5Mry8vGQf84ULF3DixAlYW1sjMjISK1euRM2aNWUb78qVK2FjY4P8/HxkZWVJn2Fje1HMAPC///0PX3zxBRYsWIAePXpIy+X42dMVr5w/e7piLqDXZ09YuMzMTNGrVy+RnZ0thBDC29tbnDx5stA6mzZtEoGBgUIIIS5fvixGjBghhBDin3/+EQMHDhT5+flCCCGGDh0q4uLihBBC+Pv7l1ELnihNO4QQIiQkRPz4449i+vTphV4zbtw4ER0dLYQQ4ttvvxVr1641YiuM146yPh5ClK4tR48elfo9JydHvPrqq0KlUgkhzOuYFNUOczsmiYmJYteuXdJ6AwYMEGfOnBFClP0xKQlj5To5xlvU+06uMQshRF5enliwYIGYMmWK+O6774web2ljfvTokfD29pbWi4+PFxkZGbKN98KFC2LAgAHSek9/hk0dc3x8vDh16pTw8vISv/32m7Rcrp89XfHK+bOnK2Yh9P/sWfy0igsXLqBWrVqwtbUFALRt2xahoaGF1gkNDUWbNm0AAE2bNsXly5eRnp6O8PBwtGjRAlZWVgCANm3a4PfffwcAZGRkYOPGjQgMDMT3338PtVot23YAwMCBA6FUKgutn5ubi8jISLRq1UraZlhYmNm1Ayj74wGUri1vvPEG3N3dpfUUCgWUSqXZHRNd7QDM75i4ublJIyAZGRnIzMxE7dq1TXJMSsJYuU6O8Rb1vpNrzACwefNmDB8+HJUrVzZ6rIaIOSwsDA4ODti2bRsCAgLw559/wsHBQbbxVqlSBZmZmVCr1VCr1bCyskKdOnWMGm9xY65bty46duz43Gvl+tnTFa+cP3u6Ygb0/+xZfHGsUqkKnf50cnKCSqUq1jrJycmFljs6OkqvHTBgACZOnIhJkybh7t272LRpk2zboUtKSgrs7e2lD+WL1jcEY7QDKPvjARiuLTt27MCUKVNQsWJFsz4mT7cDMN9jcvDgQUyePBkTJkxAjRo1THJMSsJYuU6O8T7t2fedMZUm5oiICNjb26N169ZGj7M48RRnnTt37iA6OhpeXl6YNm0avv/+e0RERMg23vr16+Ptt9/Ghx9+iFmzZuH111+Hs7OzUeMtbsy6yPWzVxxy++zpUpLPnsUXxy4uLsjIyJAep6enw8XFpVjrODs7F1qekZEhvbZFixawsXkyZbtjx45GTxilaYcuVatWRVZWFoQQxVrfEIzRDqDsjwdgmLbs378fmZmZeP/99wGY7zF5th2A+R6Tfv364dtvv8XBgwcRFhZmkmNSEsbKdXKMt4C2950xlSbmY8eOITs7G4GBgbh69SpOnDiBPXv2yDpmJycnNG/eHEqlEtbW1vDw8MDp06dlG++xY8cQGRmJDRs2YP369bh9+zZ2795t1HiLG7Mucv3svYgcP3u6lOSzZ/HFsYeHB+7evYucnBwAwLlz5+Dp6YnU1FTpVJenpyfOnz8PALhy5QqaNWsGJycndO3aFX/++af0pXj+/Hl069YNAODn5yft49atW6hfv75s26GLUqlEhw4dcPHiRWmb3bt3N7t2AGV/PIDSt+Wnn36CSqXCtGnTcOXKFcTFxZnlMdHWDsD8jklUVBRiYmIAANbW1qhVqxYSEhJMckxKwli5To7xArrfd3KNecGCBZg0aRImTZqEJk2aoHPnzhg2bJisY+7QoQPu3Lkjbevu3bto0KCBbONNTExEtWrVpG1Vq1ZN2o6pY9ZFrp+9osj1s6dLST57VqLgiFiwEydO4NChQ6hatSqUSiW8vb2xevVqVKlSBZMmTUJWVhb8/PxQrVo1xMfHY/LkyYWu4I6NjYVCoUCDBg2kq0jnzZsHV1dX2NvbIy4uDr6+vnB1dZVtO44ePYqQkBDExcVh0KBBmDhxIoAnd0bYsGED6tati3/++Qfz5s0z+lX4xmiHKY5Hadpy9OhR+Pj4oHnz5gCA1NRULFy4EB06dDCrY1JUO8ztmERHR2Pr1q1o3rw5MjIykJSUhKVLl8LBwcEkx6QkjJHr5BhvUe87ucZc4Oeff8aOHTvg5uaGESNGlMkfWqWJeceOHbhz5w6USiWysrLg4+Nj9Ls/lDTezMxMLF68GLVr15buMrNs2TKjz5MuTsxCCGzcuBE///wz2rVrh4EDB6Jr164A5PnZ0xWvnD97RfUxoN9nr1wUx0RERERExWHx0yqIiIiIiIqLxTERERERkQaLYyIiIiIiDRbHREREREQaLI6JiIiIiDRYHBMRERERabA4JiIiIiLSYHFMRERERKTB4piIiIiISIPFMRERERGRBotjIiIiIiINFsdERERERBosjomIiIiINFgcExERERFpsDgmIiIiItJgcUxEREREpMHimIiIiIhIg8UxEREREZEGi2MiIiIiIg0Wx0REREREGiyOiYiIiIg0WBwTEREREWmwOCYiIiIi0mBxTERERESkweKYiIiIiEiDxTERERERkQaLY7I4+/fvx4IFC0wdBhERPYP5mcyBlRBCmDoIIkPKy8tDVlYWHB0dAQDz5s1D7dq1MX36dBNHRkRUvj2bn1+kZ8+eWLlyJTp06GDkyIj+H0eOyeIoFIpiJ14iIio7zM9kDjhyTMUWHx+P5cuXIysrC7m5uejSpYs0Gvv777/jyy+/hEKhgL29PRYvXoz69etj165d2LRpE1q3bo2KFSvi4sWLcHV1RUBAAOzs7AAAJ06cwPr166FUKpGfnw8vLy/06dMHf//9N/z8/KT9DR06FO+88w6OHTuGhQsXokKFCpgzZw769u2LUaNG4caNG5gyZQp+/vlnPHr0CL/99hu2b9+OwMBA2NnZoXbt2hg4cCA2b96MlJQUvPfee5g1axZWrVqFoKAgTJw4ERMmTHiu3Vu2bMHhw4dhY2ODV155BT4+PrC1tYW3tzfCwsLw4Ycf4syZM4iKisK4cePw+++/Izo6GitXrkRwcDDOnDmDw4cPw97eHsuWLUNycjJyc3MxYsQIDBkyBHfv3sXMmTO1vqZOnTpleoyJyLDMIW+uXLkSnTp1whdffIHz58/DysoKnTt3xgcffAArK6tC7YmJicGiRYvw6NEjDBgwAGfPnsXDhw8xd+5cdO3aFQDw4MEDrbnuypUrmDt3rpSfjx07hs8++wyurq5o3bo1Tp8+DWtra2zYsAEuLi7w9fXFgQMH0KhRI1SqVAk+Pj6oUKECli1bBgBQq9X497//jaFDh2rt++DgYOzcuRO2trZwc3PDsmXL4OTkhKVLl+LAgQPw8vLCtWvXcPbsWQwfPhznz59HVFQUFi9ejOPHjyMyMhJbtmxBixYtsGLFCsTFxSE/Px+9evXChAkTkJubi/Hjx2t9DUe6zZwgKga1Wi369Okj9u7dK4QQIi0tTXTt2lUIIUR8fLzw8PAQN27cEEIIERwcLN566y2Rm5srhBDC399fdOnSRaSmpoq8vDzRr18/sX//fum1bdq0EXFxcUIIIaKjo4WXl5cQQogLFy6ICxcuCCGEyMnJEb1795bW2759uxg7dqwU35EjR8SuXbuEEEJERESIHj16SM/5+PgIf39/6XFsbKxo27atePz4sRBCiAcPHghfX1+t7Q4JCRG9e/cWmZmZIj8/X8yYMUNs2LBBer5Hjx5i3rx5QgghTp06JY4fPy4SEhJEkyZNRFBQkBBCiK1bt4qkpCQxZswYKQ6VSiU6d+4soqKihBBC52uIyHyZU9788ssvxahRo4RarRY5OTninXfeEcHBwVrbFRERIZo2bSqOHz8uhBDi7NmzwsPDQyQnJwshRJG57tn8vGfPHtG6dWsRHx8vhBBiwoQJ4quvvpKe79Gjh4iIiJAez5gxQxw8eFAIIcS9e/fE+PHjtcZ45swZ0b59e6FSqYQQQqxatUrMnz9fet7Ly0uMHTtWqNVqce3aNbF7924hhBBNmjQR69evF0IIsW/fPhEbGyt8fX2Fj4+PEEKIx48fi/79+0u5WtdryLxxWgUVy4ULFxAfH48BAwYAACpWrIi1a9cCAA4cOIBWrVqhYcOGAID+/fvj7t27OH/+vPT61q1bo3LlyrC2tsbLL7+M27dvS69t2bIlGjRoAABwd3fHzJkzAQD169fHzz//jHfffRfjxo3D/fv38ddff0n7OH36NJKSkgAAv/76K/r06VOstrRo0QK1atXCsWPHADy5QKRfv35a1w0KCkK/fv1QoUIFWFlZoX///ggJCSm0zhtvvAEA6NixIzw9PZ9bPm7cOAghcOrUKQwbNgwA4OzsDE9PT+zdu1frtsaNG4fq1asXqz1EJE/mlDeDgoIwZMgQKBQKKJVK9O7dG/v27dPZNkdHRynftW3bFi4uLggLC0NSUlKxct3TGjZsiLp16wIAmjZtKrVTm8qVK+PXX3/F7du3Ua1aNaxfv17rekFBQejZsyecnZ0BAAMGDMD+/fshnjpZ3r17dygUCjRu3BjDhw+Xlvfq1Ut6zSuvvIL9+/dL7bG3t0ffvn2fa8/Tr2nRooXO+Mk82Jg6ADIPSUlJqFSpEmxs/v8t065dOwBAYmKilICAJ3PKKlWqhMTERGmZk5OT9G87Ozvk5uZqfe3T2121ahXS0tKwY8cOKBQKjBo1CllZWQCeJNzOnTsjJCQE77zzDhQKBSpWrFjs9gwcOBDBwcHo168fTp06hdGjR2tdLzExEfv370dkZCQAIDs7G9bWhf+m1LXfp5cX9MXTbXV2dkZsbGyxtkVE5sec8mZiYiK2bdsmFX0ZGRmoVKmSzrZVrly50OMqVarg3r17xc51T9PVTm3mz5+Pr7/+GmPGjEH16tUxY8YMdOrU6bn1EhMTcf36dYwaNQrAkykYrq6uSElJkWLTlW+fjic5ORk5OTnPtafgDwxtryHzx+KYiqVGjRpIS0uDWq2WEv3169dRu3Zt1KxZE3FxcdK6eXl5SEtLQ40aNV643WdfCwCxsbFo2bIlYmJi8N5770GhUADAcwlz8ODB8Pf3R8WKFYs9alxg4MCB+O9//4uTJ0+iUaNGzxW8T8f3+uuvF5qLnJycrNe+AEh9kZycjFq1akn/dnNz03tbRGQezClv1qxZE1OnTpWW5efnIy0tTWcMDx8+LPQ4JSUF1atXN3quS0tLw7Rp0zB16lSEhIRg6tSpOHnyJBwcHAqtV7NmTdStWxdLliyRliUnJz/3R8WLODs7w9bWFsnJyWjcuLG0HeZuy8ZpFVQsrVu3Rr169XDgwAEAQGpqKmbOnAmFQoF+/fohNjYWt27dAgD873//Q61atdCmTZsXbvfZ1549exYbN24EANSrVw/R0dEAgHv37uHKlSuFXtuzZ088ePAAu3fvRpcuXXTuw9HREY8fP0ZmZiY++ugjAICbmxvat2+PuXPnYtCgQTpfO2TIEPz666/Izs4GAERGRhZKtsXl5uaGLl26SKMyKSkpCA0NlU7VEZHlMae8OWTIEBw4cAB5eXkAnkxL+Oqrr3TGkJWVhdDQUADAmTNnkJycjO7duxs81zk6OiIrKwsRERHYvn07fH198eDBA1hZWeG1116DWq1+7qLBgvaEhYVJRfyNGzcwdepUvfdvbW2NwYMHS+3JysrCL7/8ovMiQLIMvFsFFdvTV13n5+dj5syZaN++PQDgjz/+QEBAgHTV9aJFi9CgQQPs378fa9euRXZ2Nj744AMoFAr4+/vDzs4Os2bNwoABA6TXKpVK2Nvb45NPPkGNGjVw/fp1fPzxx1AqlWjUqBFiY2ORm5uLJUuWSKfRlixZAjs7O8yfPx8ApKuhb9y4gR49esDf3x/nz5+Hr68vnJycMGbMGGn+X0hICLZs2YL9+/cX2e6vv/4av/zyCypUqAAnJycsX74crq6umDt3Ln755Rc0atQIEyZMwIABA5CamopJkyYhOjoa7du3x5IlS/DSSy8BAFQqFZYtWwaVSoXc3Fy8++67GDp0aJGvISLzZg55E3gywvzf//4XUVFRsLOzQ40aNbB8+XJUqFDhuTZFRkbC19cXw4cPx8mTJ5GamoqPP/4Y3bp1A6A71z2bn0eMGIFly5bhwYMHGD16NFq0aIFPP/0U2dnZmDBhAsaOHYvvv/8eO3fuhJOTEz799FPExsZi165dsLW1RXp6OiZMmIC+fftq7fuQkBDs2LED9vb2UCqVWLhwIRo2bIjVq1dj9+7dcHV1xTvvvIOxY8cCeHKtx4kTJ9C6dWvMmjVL6q+MjAysWLECN27cQF5eHnr16oWJEyfCyspK52vIvLE4pnIrLCwMf//9t9bbtxERkXYFxfFvv/1m6lCIjILTKqjcCQ4OBgDs27dPGkUmIiIiAlgcUzl0/PhxDB48GPXq1eNFFUREeoiJicGKFStw//59zJgxw9ThEBkFp1UQEREREWlw5JiIiIiISMMo9zm+f/9RiV9btaoDUlIyDRiNYcgxLsZUfHKMS44xAfKMS44xAfrHVa2a8X7kxRLzriFZehvZPvNm6e0DTNfGkuRd2Y0c29goTB2CVnKMizEVnxzjkmNMgDzjkmNMgHzj0peltKMolt5Gts+8WXr7APNqo9n/Qt7BG4e1Lu/X6M0yjoSIiEyB3wNEZEhmUxzrSn5ERERERIZiNsUxERGVDxwJJiJTkt2cYyIiIiIiU+HIMRERmQVOryOissCRYyIiIiIiDY4cExGRSXAkmIjkiCPHREREREQaHDkmIiKL9PTItEOSHTIzsgHwrhdEVDSOHBMRERERaXDkmIiIyhXeR5mIisKRYyIiIiIiDdmNHO+OPSDNCyMiIiIiKkuyK46JiIjkJDj8htblg7s2KuNIiKgscFoFEREREZEGi2MiIiIiIg1OqyAiIirC9bzTOp7htAoiS8SRYyIiIiIiDRbHREREREQaFjutglcXExGRMWn7nuF3DJH5s9jimHPEiIhIH7p+OY+IyheLLY514YgyEREREelS7opjIiIibS7Hp5g6BCKSARbHRERkEHKblvB0satU2iA3V230feo6O6mLrrOWPMtJZDosjjWYiIiIiIjI7ItjngYjIiqd3bEHkJmR/dzyfo3eNEE0+pPT94Cui8EbK14r40iIqKR4n2MiIiIiIg0Wx0REREREGmY/rYKIiMhc6XsBHxEZX7krjnX/OIh2weFP/u/oaIeMp+bk8UI9IiIqLc5RJpKfclccExERGYK+gy1EZB5YHJcQb/1GREREZHlYHL9AwciA8rENcvP+/wbyPOVFRETFZahRZl0DMxOHtjbI9omIxTEREenJ2L+Ep+u+xc3qVTXqfs3ZzkOXC10X8yKGOsvJs6hkicymOJbTTd6JiKjs8XvAcNaE7tK6/CPPd8o4EiL5MZviWG50nSIruLtFcfAvayIi0kbfaRju6GKkSJ4w1C3nONJM5oDFsYHpk9DWhGpfV9epw9w7LxV6XHB7OSYVIjJHHAk2H8a+5ZyuqTrm8hPmZFlYHMuQ7i+Mwsmp4CJBXaPVupJZcYvvArqKb22n5ZRKGzSuWVHr+kxy5oNfVOwDwHBzi1kEG9+lxxGFLhovKUONEOt671zP0zGfHNq/lwriKc1vDeiKRdd3nrL2Na3LDfXZ19bHz7bvaeVpAEwueddKCCHKdI9ERERERDJlbeoAiIiIiIjkgsUxEREREZEGi2MiIiIiIg0Wx0REREREGiyOiYiIiIg0WBwTEREREWmU6X2OT548icOHD8PFxQVWVlbw9vYu9Hx2djb8/Pzg5uaGmzdvYtKkSWjYsCEAICQkBJcuXYK1tTXq1auHd9991+Qx9ezZE7Vr1wYAVK9eHWvWrDFITMWJCwD+97//4YsvvsCCBQvQo0cPabmp+qqomIzVVy+KKTAwEA8ePICrqyv+/PNPzJgxA40bNwZgvH4qbVym6qv//e9/OHbsGJo1a4aLFy9i8ODB6NmzJwDT9lVRcZmqrwrs27cPH3/8Mc6dOwdHR0cAxu2rkpBj3jWk0rTv1q1b8PPzg42NDfz9/U0R/guVtH0xMTHYvn07mjdvjri4OLi7u+Ptt982USuKVtI2qlQq+Pr6ol27dlCpVMjNzcWiRYtgbS2vcb/SvEcBQKVSYfDgwZg8eTK8vLzKOvwXkmsdVSqijGRmZopevXqJ7OxsIYQQ3t7e4uTJk4XW2bRpkwgMDBRCCHH58mUxYsQIIYQQ//zzjxg4cKDIz88XQggxdOhQERcXZ9KYhBDC39+/1DGUNK74+Hhx6tQp4eXlJX777TdpuSn7SldMQhinr4oT09q1a6W+OHjwoJg8ebIQwnj9VNq4hDBdX+3Zs0fcuXNHCCHEn3/+Kf71r38JIUzfV7riEsJ0fSWEENeuXRNffPGFaNKkiUhPTxdCGLevSkKOedeQSpvDQ0JCxI8//iimT59edkHroTTtO3r0qIiOjhZCCJGTkyNeffVVoVKpyjD64ilNGxMTE8WuXbuk9QYMGCDOnDlTRpEXT2nfo3l5eWLBggViypQp4rvvviu7wItJrnVUaZXZn1cXLlxArVq1YGtrCwBo27YtQkNDC60TGhqKNm3aAACaNm2Ky5cvIz09HeHh4WjRogWsrKwAAG3atMHvv/9u0pgA4PTp09i8eTPWrVuHc+fOlToefeKqW7cuOnbs+NxrTdlXumICjNNXxYlp5syZUl/k5+fDwcEBgPH6qbRxAabrq6FDh6JWrVoAnoyoFYxkm7qvdMUFmK6vHj9+jC1btuCDDz4otNyYfVUScsy7hlTaHD5w4EAolcoyjVkfpWnfG2+8AXd3d2k9hUIhy7aWpo1ubm7SaHhGRgYyMzOlUUi5KO17dPPmzRg+fDgqV65cpnEXl1zrqNIqs2kVKpVKOu0IAE5OTlCpVMVaJzk5udByR0fH515b1jE5OTlhzpw5cHd3x+PHjzFkyBBs2rQJ9evXL5O4dDFlXxXFGH2lT0w5OTkICgrCkiVLABivn0obF2DavsrKysL69esRFRWFzz//HIA8+kpbXIDp+mrt2rWYNm2a9IVQwJh9VRJyzLuGVNocLneGat+OHTswZcoUVKxY0fhB68kQbTx48CB++OEHTJgwATVq1CibwIupNO2LjY2Fvb09WrdujR9++KHMYtaHXOuo0iqzkWMXFxdkZGRIj9PT0+Hi4lKsdZydnQstz8jIeO61ZR0TAOmv8goVKuCVV14x2F89xYlLF1P2VVGM0VfFjSknJwdLly7FrFmzUK9ePQDG66fSxgWYtq/s7e3x8ccf4/PPP8fo0aORm5sri77SFhdgmr76559/kJaWhl9++QWBgYEAgG3btuHixYtG7auSkGPeNaTS5nC5M0T79u/fj8zMTLz//vtGj7ckDNHGfv364dtvv8XBgwcRFhZm/KD1UJr2HTt2DNnZ2QgMDMTVq1dx4sQJ7Nmzp8xiLw651lGlVWbFsYeHB+7evYucnBwAwLlz5+Dp6YnU1FRpeN3T0xPnz58HAFy5cgXNmjWDk5MTunbtij///BNCCADA+fPn0a1bN5PGdOrUqUKnGG/duoW6deuWOqbixqWLKftKF2P1VXFiysrKwpIlSzB27Fi0bNkShw4dAmC8fiptXKbsq61bt0r9UaNGDaSkpCA7O9vkfaUrLlP1Vc2aNbFq1SpMmjQJkyZNAgCMHTsWrVq1MmpfGaMtQNnnXUMqTfvMQWnb99NPP0GlUmHatGm4cuUK4uLiTNOQIpSmjVFRUYiJiQEAWFtbo1atWkhISDBNQ3QoTfsWLFgg5ZkmTZqgc+fOGDZsmMnaoo1c66jSshIFma8MnDhxAocOHULVqlWhVCrh7e2N1atXo0qVKpg0aRKysrLg5+eHatWqIT4+HpMnTy501XRsbCwUCgUaNGhgsKumSxrTlStXEBAQgBYtWuDevXtwc3PD5MmTDRJTceISQmDjxo34+eef0a5dOwwcOBBdu3YFYLq+0hWTMfvqRTF5e3vj77//RvXq1QEAmZmZ0l/exuqn0sRlyr7auHEjkpKSUKtWLVy/fh1t27bFO++8A8C0faUrLlP2FfBkCsWPP/6I//73v5g2bRreffdduLm5GbWvjNEWU+RdQypN+44ePYqQkBDExcVh0KBBmDhxoolb87yStu/o0aPw8fFB8+bNAQCpqalYuHAhOnToYOIWPa+kbYyOjsbWrVvRvHlzZGRkICkpCUuXLi10DYcclOY9CgA///wzduzYATc3N4wYMQLdu3c3YWueJ9c6qjTKtDgmIiIiIpIzed0MkIiIiIjIhFgcExERERFpsDgmIiIiItJgcUxEREREpMHimIiIiIhIg8UxEREREZEGi2MiIiIiIg0Wx0REREREGiyOiYiIiIg0WBwTEREREWmwOCYiIiIi0mBxTERERESkweKYiIiIiEiDxTERERERkQaLYyIiIiIiDRbHREREREQaLI6JiIiIiDRYHBMRERERabA4JiIiIiLSYHFMRERERKTB4piIiIiISIPFMRERERGRBotjIiIiIiINFsdERERERBosjomIiIiINFgcExERERFpsDgmIiIqoczMTEyaNAnvvvsuBg0ahDt37pgsloCAAHTu3Bnr169/4bp5eXkYNWoUmjZtitu3bwMAzpw5g3Hjxhk7zGK7ffs2+vbta+owqBxicUwW5+lkT0RkTAcPHoRarcaPP/6ImTNnwtrasF+r8+bNK1axCwDe3t7o2rVrsdZVKBT47rvvCi1r164d/vvf/+odo7HUqVMHP/74o6nDoHLIxtQBEBERmaukpCRUr14dANCjRw8TR1M6VlZWqFixoqnDKKRSpUqmDoHKIRbH9EL5+flYtmwZrl69CoVCgfr162PBggWYNm0aTp06BU9PT2zatAnBwcH4/PPP0bZtWzRp0gQ//PAD3nrrLaSlpeHixYvo1asX3nrrLXz11Ve4evUq5s2bh169eiEmJgaLFi3Co0eP8N577+Ho0aNQq9VYt24dAgMDcf78eTRv3hx+fn5STMHBwdi5cydsbW3h5uaGZcuWwcnJCRMmTAAAzJ49G3Z2dli1ahXmzZuHqKgoLF68GMePH0dkZCRq1KiB+Ph4eHh44Ouvv8aFCxewePFiVK5cGXv37n2uD2JjY7Fy5UpYWVlBoVBg8eLFaNy4MXbt2oVNmzahdevWcHR0xNmzZ+Hq6orGjRvjwIED8PLywrVr13D27Fm899578Pb2xtatW3H48GEoFAo0aNAACxYsgJOTE5YuXar1NdOnTy+zY01Exbdr1y7s3bsX2dnZGDVqFKZPn47169c/l2+2bNmCtLQ0bNu2DQqFAvn5+Zg9ezbatWsHAFK+O3PmDGxsbODi4oI5c+bgt99+Q3h4OOzs7BAVFYWBAwdi+PDhWLp0KS5fvgylUolq1aph+fLlcHJyKlbMe/bswbZt2+Dq6op+/fpJy5OTkzFlyhRER0fjypUrBs3LT+e2Gzdu4MqVK3jrrbcwe/ZsAMC5c+fw2WefQalUQgiBcePGoUePHhgzZgwiIiJw7Ngx1KlTB7m5ufjiiy9w/vx5AECbNm0we/ZsKJVKeHt7IywsDNOnT8eFCxfw999/4/3338fIkSO19kNGRgb+85//4ObNmxBCYNCgQRgxYgTu3r2LmTNnIjo6GitXrkRwcDDOnDmDefPmYefOnXB1dUWrVq1w6tQppKWl4bfffkNMTAxWr14NIQSsrKwwd+5cuLu749ixY/jss8+0voZkThC9QGhoqBg/frz0eNq0aSIhIUHk5OSI9u3bi7Nnz0rPTZ48WeTn5wshhPDx8RFDhgwR2dnZQqVSiRYtWogNGzYIIYQ4dOiQeOutt6TXRUREiBYtWojz588LIYSYOnWqGDJkiEhLSxPZ2dmiY8eO0nNnzpwR7du3FyqVSgghxKpVq8T8+fOlbTVp0kQkJCQUakOTJk3E+vXrhRBC7Nu3T8TGxooBAwaIffv2SevMnDlTpKenP9f+tLQ00aFDB3Hy5EkhhBDHjx8Xb775psjLyxNCCOHv7y9ef/11oVKphFqtFqtXrxZCCOHl5SXGjh0r1Gq1uHbtmti9e7cICgoSffv2FZmZmUIIIebPny98fX2lfWl7DRHJl7+/v/Dx8Sm0TFu+CQ4OFikpKUIIIRISEkT37t2l9Tdu3Cjef/99oVarhRBCLFu2TOzZs0cI8SSP+vv7F9r+N998U2j/a9eulR5rW7/A1atXhbu7u4iPjxdCCLFjx45C+TIhIUE0adJEWt+QednLy0tMnDhR5Ofni6SkJNG8eXORmJgohBBi2LBh4sKFC0IIIS5dulSoP5+OLyAgQIwZM0ao1WqhVqvFuHHjREBAgLRujx49xJIlS4QQQkRHRwsPDw+Rm5urtS8WLFggPv74YyGEEI8ePRI9e/YUp0+fLtQPQUFBQgghtm7dKpKSksSePXuEu7u7uHbtmtTGtLQ00b59exERESGEEOL06dOiffv24uHDh0IIofU1JH+cc0wvVKlSJVy9ehUnTpxAfn4+vvjiC9SqVQtKpRL9+vVDcHAwAOCvv/5C06ZNYWVlJb22ffv2sLW1hbOzM5ydndGsWTMA2ucFOzo6wsPDAwDw8ssvo3bt2qhYsSJsbW3RoEEDJCQkAACCgoLQs2dPODs7AwAGDBiA/fv3QwhRZDt69eolrd+iRQsMGjRIij05ORl2dnZwdHR87nXHjx+Hg4MDOnXqBADw9PTEgwcPEB0dLa3j4eEBZ2dnKBQKfPzxx9Ly7t27Q6FQoHHjxhg+fDhCQkLQp08fVKhQAQAwdOhQ7Nu3D2q1WudriMj8PJtvmjVrBl9fX4wYMQK+vr74559/oFKpAAB79+7FoEGDoFAoAACTJ0/Ga6+9pnPb9vb2eO+99+Dl5YWDBw/izz//LFZMhw4dgoeHB+rWrQsAxbrYzZB5uUuXLrCyskL16tVRpUoV6eLFypUrIyQkBA8ePECzZs2wZMkSrbGEhIRg8ODBUCgUUCgUGDRo0HNn+grmXDdt2hSZmZlSHz8tPz8fISEh+Pe//w0AcHJyQo8ePbBv375C673xxhsAgHHjxklTZxo2bIjGjRsDAHx8fHD8+HE4OTmhQ4cOAIBXX30VlStXLjQ6/OxrSP44rYJeqE2bNvjkk0+wefNmzJ8/H++88w4mT54MABg8eDAmTJiAhQsXIiQkBG+//Xah1z5dbNrY2EiPFQoFcnNzi7VuweOC9RMTE3H9+nWMGjUKwJNTkq6urkhJSZESszbPnnYcMGAA1q5di3v37uGXX37R+UWRmJiIhw8fSvsDAGdnZ6SmpkqPdc3Te3Z5YmJioRidnZ2Rm5sLlUoFNze3IrdFRObj2XwzdepUjBw5EuPHjwfwpHh7/PgxgCd5oWrVqtK6BblAm8jISKxatQr79+9HnTp1sHfvXgQFBRUrpnv37hXaT5UqVV74GkPm5af7xM7OTnrtmjVrEBgYiCFDhqBJkyaYM2cOXnnllediebafnJ2dkZSUVGidgn3Y2dkBwHPfM8CTwZCcnBx89tlnsLe3BwCkpaU9t09tufhFOb0grsTExCK3Q/LG4phe6NGjR2jfvj26d++O+Ph4TJgwAW5ubhg2bBjc3d3h4uKCI0eO4ObNm9Jfx8ZUs2ZN1K1bt9DoQnJycpGFsTbVq1dHhw4dsH//fkRGRsLLy0vn/mrUqFHoyu709HTY2tqWKPbk5ORCcSuVSri6uuq9LSIyDyqVCnfu3JFGNZ8t2GrWrImUlBTpcUpKCjIyMlCnTp3nthUTE4OGDRtKzz191ulFqlevjps3bxbaj6GUJi/n5ORg7ty5mD17NrZs2YJp06bh+PHjWvfxdMzJyclF/iGhi7OzM2xtbbFo0SK4u7sDeHJMsrKy9N7Wszm9IK4aNWrovS2SD06roBc6cuQIdu3aBQCoV68e3NzckJ+fLz0/aNAgrFy5Ep07dy6TeIYMGYKwsDA8fPgQAHDjxg1MnTpVet7BwQFZWVkICQnBr7/+WuS2Bg8ejG3btqFhw4bSKc1n9ejRA6mpqYiJiQHw5L6mo0ePRnp6eoli//XXX6UkHBwcjIEDB+rcNxGZvypVqqBSpUrSVKzw8PBCzw8ZMgQhISHIy8sD8GQk9fLlywCejNw+fvwYmZmZ+Oijj1C/fn3Ex8dLReIff/xR7DjeeustXLhwQZoKceDAgVK37ek2FJWXizJjxgw8fvwYNjY2aNu2rdQP2vaxb98+5OXlIT8/H/v27cPQoUP1jtXa2hqDBw8uNI1i48aN0jQ7ffTo0QMZGRk4ffo0gCcXFz58+BA9e/bUe1skHxw5phfy8PDAqlWr8NtvvyEzMxNNmzbFoEGDpOcHDRqEgICAQlc+b9u2TbrKulmzZjhx4gTu37+PFStWYO3atZg3bx6AJ3O55s+fjxUrVuD+/ftYvHgxunfvjqCgIGRnZ2Pnzp1ITk7GpUuXcP/+fdSsWROdOnXChx9+iIkTJ8Le3h5KpRKrVq2S9j1y5EjMmjULTk5O8Pf3l25qP3v2bMyaNUuaOwwA//rXv7BkyZJC7XmWk5MTNm3aBD8/PwghIITA9OnT4ezsjP3790uxzp07F6tXrwYArF69Wor54cOHGDt2LIAnUznu3buHMWPGwNraWrpbRVGvISJ52rVrl/T5HzNmDLZv36413ygUCqxcuRIrV67Er7/+ipYtW0rrBAYGYvz48UhPT8d7770Ha2trtG/fXpqz3L9/f/j6+iIqKgpjxoxBr169EBYWhrfffhtNmzaFg4MDLl26hNWrV8PBwUHKuzVq1HjumoWXX34ZS5YswZQpU+Di4iIVcLNnz8batWulu0eMGjUKixcvNlhefjq3NWzYECEhIdL3wZo1a/DGG29g7NixUCqVyMrKku6AMWbMGCm+9evXY/z48Xj06JF0B4o2bdpg0qRJAIC5c+dK2wwICJC2UdDHz04hmTdvHlasWIF3330XNjY2eOWVV/DBBx8gNTW1UD8sWbIEL730Ek6dOoXAwEA8ePAA48aNw9dffw3gyffDli1b4Ofnh/z8fFhZWWHz5s2oVKmSzteQ/FmJF13FRPQCaWlpmD9/PgICAkwdit7y8/Mxbtw4fPPNN6YOhYiIiGSAI8dUYmFhYWjVqhV+/fVXs/uJz+joaFSqVAnx8fFlNh2EiIiI5I/FMZVYfHw8Vq5ciQYNGpjdqPH9+/cxZ84c1KhRA19++aWpwyEiIiKZ4LQKIiIiIiIN3q2CiIiIiEjDKNMq7t9/ZIzNSqpWdUBKSqZR92EI5hCnOcQIME5DY5yGo0+M1aoZ78cAdOVdc+jD4rKktgCW1R62Rb4sqT0laUtJ8q5Zjhzb2JjHPWHNIU5ziBFgnIbGOA1H7jHKPT59WFJbAMtqD9siX5bUnrJqCy/IK6GDNw5rXd6v0ZtlHAkRUdli/iMiS2aWI8dERERERMbA4piIiIiISIPFMRERERGRBucca3AOHRFRYbryIhGRJePIMRERERGRBotjIiIiIiINFsdERERERBosjomIiIiINFgcExERERFp8G4VBvb01d0OSXbIzMjmHS+IiIiIzES5K46Dw29oXa6sXcaBEBEREZHscFoFEREREZFGuRs5JiIi4+CPKRGRJbDY4lhXkr6el6J1eTNUNWY4RERERGQGLLY4NhT+fCoRUelwRJmIzAmLY43L8TpGlOuVfkSZXwxERERE5oEX5BERERERabA4JiIiIiLSYHFMRERERKTB4piIiIiISIMX5L2AMS/UMxRe8EdEcqYrj/ZrVMaBEBEVA4vjEtKV7J+mVNogN1ets5BmUUtEREQkLyyOiYjIIIozaEBEJHcsjs0If5CEiCxJcPgNrcuVta9pXf5+tWHGDIeICIAFF8ccwSAikrfreae1Lm8G+VzTQUTlj8UWx3JiDhf1EVH5peusFAcZiKg8Mvvi2BKnGlhim4iIiktnUd6hbOMgovKJ9zkmIiIiItIw+5FjnvYjIiIiIkMx++KYTIf3aSaisrTz0GVkZGQ/t3xwV/6aCBEZDotjE9J31FvXBXz89SkiKs/WhO7Suvwjz3fKOBIisgQsji1YcS7sc0iyQ6aWkZincSSYiIiIyguzKY6fHhko+FlmMiyOQBORJdH1IyOchkFERTGb4phMR263luNcZ6Ly6dLjCOTmlX5ghDmEiIrC4tiCFWdOszFG4XV98eTeeUnrclOM4nBEiYiexaKZiAAWx2bF3G9bp+unYg/euKZ1uTl/IbH4JnNi7rlFF105B/H6bqn4RTMLbCLzJ7viWFdRQeWPrnnmuu7aoe1LyVBfSMV9Xzo62mm91dSLtqOraNb381Dc7RTEqaxteX+YGAr/wKECuv54uByv/S4ZxV23qDN3jRWvaV2uq+DX925G5n4nD2Pme0PRd0qi3OI3Bbn8cWklhBBlukciIiIiIpniz0cTEREREWmwOCYiIiIi0mBxTERERESkweKYiIiIiEiDxTERERERkQaLYyIiIiIiDRbHREREREQasvoRkJMnT+Lw4cNwcXGBlZUVvL29Cz2fnZ0NPz8/uLm54ebNm5g0aRIaNmwIALh16xb8/PxgY2MDf39/WcYZExOD7du3o3nz5oiLi4O7uzvefvtt2cWpUqng6+uLdu3aQaVSITc3F4sWLYK1tXH+lirNcQcAlUqFwYMHY/LkyfDy8pJdjD179kTt2rUBANWrV8eaNWuMEmNp47xw4QJOnDgBa2trREZGYuXKlahZs6as4oyMjMTy5cvh7OwM4Mmx79OnD6ZPny6rOAFg5cqVsLGxQX5+PrKysgzyGSpNPCEhIbh06RKsra1Rr149vPvuuwCA27dv48svv0T9+vVx584d+Pj4wNHRsVRxmrI9ixcvRlxcnLSNhQsXomnTprJui67vL1MdG2O0xVTHpTTtKeo729yOTVFtMbfPTFE1isGOi5CJzMxM0atXL5GdnS2EEMLb21ucPHmy0DqbNm0SgYGBQgghLl++LEaMGCE9FxISIn788Ucxffp02cZ59OhRER0dLYQQIicnR7z66qtCpVLJLs7ExESxa9cuab0BAwaIM2fOyC5OIYTIy8sTCxYsEFOmTBHfffedLGP09/c3SlyGjPPRo0fC29tbWi8+Pl5kZGTILs4bN26IP//8U1rP19dX3L59W3ZxXrhwQQwYMEBazxCfodLE888//4iBAweK/Px8IYQQQ4cOFXFxcUIIIcaNGyflpW+//VasXbu2VHEWl7HaU1aft6cZ6/vLFMfGWG0xxXERwnjf2eZ2bIpqi7l9ZoqqUQx1XGQzreLChQuoVasWbG1tAQBt27ZFaGhooXVCQ0PRpk0bAEDTpk1x+fJlpKenAwAGDhwIpVIp6zjfeOMNuLu7S+spFAqjxVyaON3c3KS/KDMyMpCZmSmNfMopTgDYvHkzhg8fjsqVKxslPkPEePr0aWzevBnr1q3DuXPnZBlnWFgYHBwcsG3bNgQEBODPP/+Eg4OD7OJs2LAhmjdvDgB48OABcnJyZPnerFKlCjIzM6FWq6FWq2FlZYU6deqYLJ7w8HC0aNECVlZWAIA2bdrg999/R25uLiIjI9GqVStpm2FhYaWK05TtAZ7krI0bNyIwMBDff/891GrtP88sl7YA2r+/THVsjPVdbIrjAhjnO9scj01R9Ye5fWZ01SiGPC6yKY5VKlWhoW8nJyeoVCq91zE2Q8W5Y8cOTJkyBRUrVpRtnAcPHsTkyZMxYcIE1KhRQ3ZxRkREwN7eHq1btzZKbIaIEQDmzJmDiRMnYvLkyZg/fz5u3boluzjv3LmD6OhoeHl5Ydq0afj+++8REREhuziftnPnTulUutzirF+/Pt5++218+OGHmDVrFl5//XVpKogp4klOTi603NHRESqVCikpKbC3t5eKzLLMqcZoDwAMGDAAEydOxKRJk3D37l1s2rTJyC0xzveXqY6Nsb6LTXFcAON8Z5v7sXm2/jDXz8yzNYohj4tsimMXFxdkZGRIj9PT0+Hi4qL3OsZmiDj379+PzMxMvP/++7KOs1+/fvj2229x8OBBo/1VXJo4jx07huzsbAQGBuLq1as4ceIE9uzZI6sYAUh/rVeoUAGvvPKK0UaPSxOnk5MTmjdvDqVSCWtra3h4eOD06dOyi7NATk4OYmNj8eqrrxolxtLGeezYMURGRmLDhg1Yv349bt++jd27d5ssHmdn50LLMzIy4OLigqpVqyIrKwtCCJ3bNBZjtAcAWrRoARubJ5fTdOzY0Wh/5BUnTn3XeZqpjo2xvotNcVwA43xnm/Ox0VZ/mOtn5tkaxZDHRTbFsYeHB+7evYucnBwAwLlz5+Dp6YnU1FTpdI2npyfOnz8PALhy5QqaNWsGJycns4rzp59+gkqlwrRp03DlypVCk+DlEmdUVBRiYmIAANbW1qhVqxYSEhJkF+eCBQswadIkTJo0CU2aNEHnzp0xbNgwWcV46tQp6XQv8ORilbp16xo8xtLG2aFDB9y5c0fa1t27d9GgQQPZxVlg//796Nevn1HiM0SciYmJqFatmrStatWqSdsxRTxdu3bFn3/+KX1pnD9/Ht26dYNSqUSHDh1w8eJFaZvdu3cvVZymbA8A+Pn5Sfu4desW6tevL+u26GKqY2Os72JTHBfAON/Z5npsdNUf5vaZ0VWjGPK4WImC7CIDJ06cwKFDh1C1alUolUp4e3tj9erVqFKlCiZNmoSsrCz4+fmhWrVqiI+Px+TJk6UrZI8ePYqQkBDExcVh0KBBmDhxouziPHr0KHx8fKQ5k6mpqVi4cCE6dOggqzijo6OxdetWNG/eHBkZGUhKSsLSpUuNNge1NMcdAH7++Wfs2LEDbm5uGDFihFGSVEljvHLlCgICAtCiRQvcu3cPbm5umDx5ssHjK22cwJNTbXfu3IFSqURWVhZ8fHyMdoeS0h7ziRMn4ssvvzT6dQYljTMzMxOLFy9G7dq1pSuoly1bVurPUGn6LSQkBLGxsVAoFGjQoEGhu1Vs2LABdevWxT///IN58+aV2d0qjNGeefPmwdXVFfb29oiLi4Ovry9cXV1l3RZd31+mOjbGaIupjktp2lPUd7a5HZui2mJun5miahRDHRdZFcdERERERKYkm2kVRERERESmxuKYiIiIiEiDxTERERERkQaLYyIiIiIiDRbHREREREQaLI6JiIiIiDRYHBMRERERabA4JiIiIiLSYHFMRERERKTB4piIiIiISIPFMRERERGRBotjIiIiIiINFsdERERERBosjomIiIiINFgcExERERFpsDgmIiIiItJgcUxEREREpMHimIiIiIhIg8UxEREREZEGi2MiIiIiIg0Wx0REREREGiyOiYiIiIg0WBwTEREREWmwOCYiIiIi0mBxTERERESkweKY6AVmzJiBVq1aITIyEgBw+/Zt9O3b18RRERERkTGwOCaztnfvXowaNcqo+/D390e1atWkx3Xq1MGPP/5o1H0SEclNcfLtqFGjsHfv3lLv6/bt22jatGmpt0NUEiyOiUqgUqVKpg6BiIiIjMDG1AGQZZg3bx6CgoLw6quv4ttvv0VCQgK8vLwQHh6Oe/fuYeLEicjJycHOnTtha2uLFStWIC4uDvn5+ejVqxcmTJiA3NxcjB8/HlFRUVi8eDGOHz+OyMhIbNmyBTdv3sSePXtQoUIF2NvbY+7cuVCpVAgMDMSDBw8watQoNGnSBIsWLSoU165du7Bp0ya0bt0ajo6OOHv2LFxdXfHVV19h6dKluH37NqysrPDyyy9j0aJFsLF58pEICwvD559/jipVqqBz586FtjlmzBhERETg2LFjSEhIwLJly1CtWjV89913OHLkCFauXIn27dtj1apVAICAgACEh4fD1tYWLi4umD9/PqpXr142B4aILI5c8+2aNWtw6dIl3L9/H0FBQRg/fjw8PT0RHh6OgIAA2NrawtHREcuWLYObmxtGjBiBc+fOoX///vjoo48wduxYKJVKfP7551i8eDEASCPV06ZNKzLXHjt2DJ999hlcXV3RqlUrnDp1Cmlpafjtt98QGxuLlStXwsrKCgqFAosXL0bjxo3L/LiRGRFEBtK9e3dx7tw5IYQQ27ZtE6+88oq4ePGiEEKIwMBA6d++vr7Cx8dHCCHE48ePRf/+/UVQUJC0nSZNmoj169cLIYTYt2+fiIqKEu3btxfZ2dlCCCG++eYbsWfPHiGEEHv27BFeXl5FxuXv7y9ef/11oVKphFqtFqtXrxYpKSkiODhYWsfHx0fs3r1bCCGESqUSHh4e4uzZs0IIIY4ePSqaN28uIiIiCsWYkJCgNQZ/f3+pfX///bfo06ePyM/PF0II8emnnxbaDhFRScg133p5eUnrCyFEfHy88PDwENevXxdCCPH999+LMWPGSM9PmDBBfPrppyI3N1dMnz5dZGRkCCGESEhIEE2aNCm07aJybcHz7u7u4tq1a0IIIVatWiXS0tJEhw4dxMmTJ4UQQhw/fly8+eabIi8vr8h2UPnGaRVkMN26dUNoaCgA4OLFi/jXv/6FsLAwAMBff/2FFi1aID8/H/v378ewYcMAAPb29ujbt+9zc9R69eoFABgwYABatWoFAAgODsbjx48xcuRI9O/fX6/YPDw84OzsDIVCgY8//hiVK1fG3bt3MWLECIwaNQpRUVH4888/ATwZNXZxcUHbtm0BAG+88Qbs7OxK1CeOjo548OABDh8+jNzcXMyZMwft2rUr0baIiArIOd8+7cCBA2jZsiUaNWoEAOjfvz9OnTqFe/fuAQCWL1+OoKAgzJkzByNGjICDg0OJ9wUADRs2lEaFfXx8cPz4cTg4OKBTp04AAE9PTzx48ADR0dGl2g9ZNhbHZDCenp44fvw4MjMz4eDggJ49eyIsLAwPHz5ExYoVYWVlheTkZOTk5MDZ2Vl6nbOzM5KSkgpty8nJSfq3vb09vv/+e0RFReGNN97A4sWLkZ6erldsFStWLPQ4KCgIu3btwsaNG/Hdd99hyJAhyMrKAgDcv38fVatWLbR+lSpV9NpfgZo1a2LTpk0ICQmBp6cnvvjiC+Tm5pZoW0REBeScb5+WmJiI69evY9SoURg1ahS8vb1Ru3ZtqFQqAE9y5Pvvv4+zZ88aZODg2VyfmJiIhw8fSvsfNWoUnJ2dkZqaWup9keVicUwG8/rrr+PWrVvYu3cvOnXqhG7duuGvv/5CSEgIunXrBuBJYra1tUVycrL0uuTkZLi5uencbm5uLlxcXPD555/j0KFDePjwIfz8/EoVa0xMDNzd3aWiV61WS89Vq1atUHwAikykSqUSOTk50uO0tDTp348fP8ZLL72EL7/8EsHBwbhw4QI2b95cqtiJiMwl39asWRMtW7bEd999J/0XFBSEJk2aAACys7Nx5coVNG7cGOvXry9yW0Xl2qL2X6NGjef2/+y1JERPY3FMBmNvb4/27dvjyy+/RNeuXVG1alW0bNkSgYGB0ikta2trDB48WDqtl5WVhV9++QVDhw7Vud2kpCTpwo+KFSvilVdeQV5eHoAn0xYeP34MAJg+fXqhIrco9evXx+XLl5GTkwO1Wo1Tp05Jz3Xv3h3Jyck4e/YsAODo0aPIzMzUua06derg5s2byMnJQXZ2tnQ/ZOBJEe7v7w/gSdHdsGFDKXYiopKSa74tWOfmzZvw8/NDv379EB0djTt37gAAVCoVvLy8kJ+fDwDYsGEDJkyYgE8++QQ//PADLl68KG0HeDLAEBgYiAsXLhSZa3Xp0aMHUlNTERMTAwDIzMzE6NGjSzUaTpaPxTEZlKenJ1566SXp1JanpyeaNm0qJTrgyZXW1tbWGDFiBEaPHo3+/ftj0KBBAIBx48YBAGbPni0VrM7OzqhcuTJGjBiBkSNH4ty5c5g9ezYAoGPHjsjLy8O7774LNzc36W4TBfbv34+goCCEh4dj7ty50vJ33nkHL7/8MgYNGoTZs2ejWrVqCA8Px7Zt2+Ds7Ix169Zh6dKlGDlyJGJiYlCrVi2sWLECMTExGDNmjBRjUlIS2rRpg27dumHo0KFYsGABXnvtNYSHh2Pjxo1o1KgR7t27By8vL7z77rt49OgRxo8fb6TeJ6LyRG75FgCGDRuGb7/9FnPmzEH37t1Rt25drFmzBh999BFGjRqFWbNm4ZNPPoFSqcRHH32EH3/8EdeuXUNcXBxsbGwwdepU7N27F1WrVkX//v0xcuRInDp1Cs2aNSsy1546dQqBgYG4dOmS1C7gyZSRTZs24bPPPoOXlxcmTpyI6dOnF5pqQvQsKyGEMHUQRERERERywJFjIiIiIiINFsdERERERBosjomIiIiINFgcExERERFpsDgmIiIiItJ4/j4sBnD//iNjbLZUqlZ1QEqK7nvVmiO2Sf4srT0A21Qa1apVfPFKJSTHvFtAzu8ZOccGML7SkHNsgLzjk3NsgH7xlSTvGqU4liMbG4XJ9n3wxmGty/s1erNU2zVlm4zF0tpkae0B2CbSn5z719CxGTrfy7nvAHnHJ+fYAHnHJ+fYAOPHx2kVREREREQaLI6JiIiIiDRYHBMRERERabA4JiIiIiLSKDcX5BEREQGFL5pzSLJDZka2CaMhIrnhyDERERERkQZHjomIiGSmYHT72ZHt0t4ClIhejCPHREREREQaHDk2IWP9OAgRERERlQyLYyIiski6BiCIiIrC4piIiMhM8IwjkfFxzjERERERkQZHjkuIf70TEZUtS8y7ppr6ERx+Q+vywV0blXEkRPLD4liGLPELgIiILM/OQ5eRoeVHVFhkkzljcWxGni2aC+5/yaKZiIiIyDBYHBsYr44mIqLSuhyfAgBQKm2Qm6uWljerV1Xr+vqecbyed1rHnjniS8QL8oiIiIiINDhyrMF5vkREZYtn2gynYKT5Wf30HAg29nchLwQkc8DimIiIzJo5FNmGilFXESw3uopgTucgc8BpFUREREREGhw5tgCcEkJERNroGsElIt1YHBMRkVHtjj2ATC33wiV6EX2Ke85bJkPhtAoiIiIiIg2OHBMREVko3RfA6UfXCK6jo51Btk8kJxw5JiIiIiLS4MixBeOFekRERET6YXH8AuZw/0xz9/TpOkdHO2RoLtzhxRVEZOnM5b7Fxsa7apCcsDguhziiTERERKRduSuOORKsP/7cJ/uAiErHXEaIdcXZWFHGgRCZULkrjkk3uZ3WYkFKRHJmLgWvMV16HIHcPPVzyxsrXjNBNNrxu4T0ZbHF8bMjxA5JdhZ7E3pDJWh9Rwb0TTiGKr712a/cCn4iIiKSN7MvjjlNggqYQyHMEQwiKg8MdX9lfTybX5++wLs02ynAPF1+mH1xTGRKTKJE8qXrrFqzelUNsh0yPl1Ftj7TNnRtIzhcv/UB/fI6vx/MF4tjM/JsglYqbZCb+/xcr5IyRBICzGME19gK+qC4IxdMokRERPLA4pjIgrDIppLQ9/aOxr4dpL4jtfqOBJP+dA2eKK0NU0boOw2jOOsrH9tovViwpPSfxvmSUffL268aj9kUx+Y8t9hQp/ZMRd+kJaerlM2doYpdQ26nuKPhhirIWfCbjr55V9f6Do52hghHJ32L6afXN/QZODIf+n636fs+0/ci9zWhu/Rav5+OFGiIi+WLyvP6XPxuqu+q0pJdcWzORTCg34eH89ieeDpBPf2XPots3Uxx5w9jb1tu03HkkqSJiKhsWQkhhKmDICIiIiKSA2tTB0BEREREJBcsjomIiIiINFgcExERERFpsDgmIiIiItJgcUxEREREpMHimIiIiIhIg8UxEREREZGG7H4ExBDu37+PdevW4fLly9izZw8AIDU1FWvWrEHdunVx8+ZNzJ49G66uriaOtPi0tWn9+vWIioqS1pkyZQo6d+5sqhD1Eh8fj3Xr1qF58+ZITExElSpV4O3tbdbHSVebzPk45efnY8qUKXB3d0dubi4SEhKwYsUKZGVlmeVx0tWezZs3m+0xkhs55yo55x255w+55wJz+GxnZWVh+PDh6NKlC3x8fGTxvtMVm1zedwDw9ttvw87uya9sWltbY/v27UbvO4ssjs+ePYs33ngDly5dkpZ98cUX6NSpE/r27YvffvsNfn5++Oyzz0wYpX60tQkAvvvuOxNFVDqpqano27cvevXqBQDo27cvPD09sXv3brM9TrraBJjvcQIADw8PTJs2DQAwdepUHD58GGfOnDHb46StPYB5HyM5kXOuknPeMYf8IfdcIPfPdsEfPwXkVJc8Gxsgn37r2rUrpk+fXmiZsfvOIqdV9O7dG46OjoWWhYWFoU2bNgCAtm3bIiwszBShlZi2NgHAxo0bsXXrVgQGBuLx48cmiKxk3N3dpS8B4Mlf/RUqVDDr46SrTYD5Hidra2vpy0atViMpKQkNGzY02+Okqz2A+R4juZFzrpJz3pF7/pB7LpD7Zzs4OBht27ZFnTp1pGVy6TttsQHy6DcAuHr1KgIDA7F+/XqEhoYCMH7fWWRxrI1KpZIStpOTEx4+fAi1Wm3iqEqnd+/eGDNmDMaPHw9HR0d88sknpg6pRI4cOYIuXbqgcePGFnOcnm6TJRyn8PBwTJ48GZ6enmjVqpXZH6dn22MJx0jO5Ni/cs47cs4fcs8FcvxsX7t2DTdu3MCbb75ZaLkc+k5XbHLotwITJ07EpEmTMG3aNHz11Vc4ffq00fuu3BTHLi4uyMjIAACkp6ejcuXKsLEx71klL7/8MhwcHAAAHTt2REREhIkj0l9ERAQiIyMxf/58AJZxnJ5tkyUcp65du2Lr1q24ffs2duzYYfbH6dn2WMIxkjO59a+c847c84fcc4EcP9tHjhyBra0tAgMDcfbsWcTExOCbb76RRd/pik0O/VbA3d0dAKBQKPDqq68iMjLS6H1Xborj7t274/z58wCAc+fOoXv37iaOqPT8/Pykf9+6dQv169c3YTT6Cw0NxR9//IEFCxbg/v37OH/+vNkfJ21tMufjdO3aNek0FgDUqVMHt2/fNtvjpKs95nyMzIGc+lfOeUfO+UPuuUDOn+2pU6fC29sbkyZNQrt27eDu7o73339fFn2nKzY59BsAXL9+HT/99FOhWOrVq2f0vrMSQgiDblEGoqKiEBwcjPDwcIwYMQLjxo1DVlYWPv/8c9SqVQsJCQn46KOPzOLq+gLaTjyySwAAX+NJREFU2rRhwwY8fvwYLi4uuHr1KmbMmCHNsZK72NhYjBo1Ci1btgQAZGZmYuTIkejZs6fZHiddbYqLizPb4xQfH4/Vq1ejefPmUKvVuH79OhYuXAilUmmWx0lXe7799luzPUZyI+dcJee8I/f8IfdcYA6f7UOHDmHHjh3Izc3FyJEj0aVLF1n0nbbYrly5Iot+S0pKwvLly9G8eXOkp6dDrVbD19cXaWlpRu07iyyOiYiIiIhKotxMqyAiIiIiehEWx0REREREGiyOiYiIiIg0WBwTEREREWmwOCYiIiIi0mBxTERERESkweKYiIiIiEiDxTERERERkQaLYyIiIiIiDRbHREREREQaLI6JiIiIiDRYHBMRERERabA4JiIiIiLSYHFMRERERKTB4piIiIiISIPFMRERERGRBotjIiIiIiINFsdERERERBosjomIiIiINFgcExERERFpsDgmIiIiItJgcUxEREREpMHimIiIiIhIg8UxEREREZEGi2MiIiIiIg0Wx0REREREGiyOiQDcvn0bffv2NXUYREREZGIsjkl29u7di1GjRpXpPuvUqYMff/zRKNvu2bMnIiMjjbJtIiK5MEXuJjIGFsdEGpUqVTJ1CERERGRiVkIIYeogSJ7mzZuHoKAgvPrqq/j222+RkJAALy8vhIeH4969e5g4cSJycnKwc+dO2NraYsWKFYiLi0N+fj569eqFCRMmIDc3F+PHj0dUVBQWL16M48ePIzIyElu2bMHNmzexZ88eVKhQAfb29pg7dy5UKhUWL16MBw8e4JVXXkGTJk2waNGiQnEFBATghx9+gKenJ1JSUpCUlAQXFxesWrUKzs7OAIDw8HAEBATA1tYWjo6OWLZsGdzc3KTX9u7dG6mpqTh//jzat2+Pf/75BxERETh27Bisra0xc+ZMREdHY+XKlQgODoZKpcK6desQEhKCkydPwsXFBQEBAbCzsytyf76+vjhw4AAaNWqESpUqwcfHBy1btkRwcLDUb25ubli2bBmcnJywdOlSHDhwAF5eXrh27RrOnj2L9957D9OnTy/z409E5kmuuRsANmzYgN9//x12dnaoUKECli9fDjc3Nxw7dgyfffYZXF1d0apVK5w6dQppaWn47bffEBsbi5UrV8LKygoKhQKLFy9G48aNi9weUakIoiJ0795dnDt3TgghxLZt28Qrr7wiLl68KIQQIjAwUPq3r6+v8PHxEUII8fjxY9G/f38RFBQkbadJkyZi/fr1Qggh9u3bJ6KiokT79u1Fdna2EEKIb775RuzZs0cIIcSePXuEl5dXkXH5+PiIXr16iUePHgkhhFi4cKGYPXu2EEKI+Ph44eHhIa5fvy6EEOL7778XY8aMKfTa/v37i8zMTJGWliY2bNggxZiQkCCEECIhIUE0adJEHDp0SAghxH/+8x/xxhtviDt37oj8/HwxcOBAceDAgWLtr0ePHiIiIkJ6fObMGdG+fXuhUqmEEEKsWrVKzJ8/X3rey8tLjB07VqjVanHt2jWxe/fuIvuCiOhZcs3d3377rcjPz5fWnzNnjvTcnj17hLu7u7h27ZoQ4kluTEtLEx06dBAnT54UQghx/Phx8eabb4q8vLwXbo+opDitgorUrVs3hIaGAgAuXryIf/3rXwgLCwMA/PXXX2jRogXy8/Oxf/9+DBs2DABgb2+Pvn37Yu/evYW21atXLwDAgAED0KpVKwBAcHAwHj9+jJEjR6J///56xda9e3c4OTkBAAYNGoRDhw4hLy8PBw4cQMuWLdGoUSMAQP/+/XHq1Cncu3dPem2nTp1QoUIFVKxYEdOmTdO5j9dffx0A0KRJE1SqVAm1atWClZUVXn75ZSQkJABAsfb3tKCgIPTs2VMa5R4wYAD2798P8dRJnO7du0OhUKBx48YYPny4Xv1CRCTX3F2zZk2MHj0aI0eOxPbt2/Hnn38Wer5hw4bSqLCPjw+OHz8OBwcHdOrUCQDg6emJBw8eIDo6uljbIyoJG1MHQPLm6emJdevWYfLkyXBwcMCrr76KHTt2wMvLCxUrVoSVlRVUKhVycnKkYg8AnJ2dkZSUVGhbBYUs8CQJf//999i0aRPWrVsHT09PzJkzp9A2XqRy5crSv6tUqYLc3FykpKQgMTER169fL3RhSO3ataFSqVC9enUAQMWKFYu1j4KYFQoFHB0dpeU2NjbIzc0FgGLt72nPrq9Wq+Hq6oqUlBSp/cWNj4hIGznm7ps3b2LmzJnYuXMn3N3dERkZCV9f30LrPJv7EhMT8fDhw0L51dnZGampqcXaHlFJsDimIr3++uuYNWsW9u7di06dOqFTp05YsGABQkJC0K1bNwBPEpWtrS2Sk5Olv/iTk5OLnPeVm5sLFxcXfP7553j06BHmzZsHPz8/+Pn5FTu2hw8fSv9OSUmBUqlE1apVUbNmTbRs2RKBgYGF1n06wRuSvvurWbMm6tatiyVLlkjLkpOT9frDgIioKHLM3X/99RccHR3h7u4O4MnAwIvUrFkTNWrUwHfffSctS09Ph62tLY4ePar39oiKg9MqqEj29vZo3749vvzyS3Tt2hVVq1aVCsGC01zW1tYYPHiwdCouKysLv/zyC4YOHapzu0lJSdLFGhUrVsQrr7yCvLw8AICjoyMeP34MAJg+fbrOhPfHH38gPT0dwJNTfG+99RYUCgX69euH6Oho3LlzBwCgUqng5eWF/Px8A/TI8160P0dHR2RlZSEiIgLbt2/HkCFDEBYWJhX3N27cwNSpU40SGxGVT3LM3fXr10daWhri4uIAPLmQ+UV69OiB1NRUxMTEAAAyMzMxevRopKenl2h7RMXBkWN6IU9PT2RnZ0unuzw9PXH69OlC0wzmzZuHFStWYMSIEcjLy0P//v0xaNAgAMC4ceMAALNnz8asWbPQqVMnODs7o3LlyhgxYgSsra1hZ2eH//znPwCAjh074quvvsK7776Lli1bwsZG+9u0U6dOmD9/Pu7cuQNnZ2dp5KJu3bpYs2YNPvroIyiVSlhZWeGTTz6BUqnEtm3bEB4eDjs7Ozx+/Bhz584FAIwZM0aKcf369Zg9ezYAYOrUqZg6dSoCAwPx4MED+Pv7w83NTdpGgwYNMGDAAJ37A4B33nkHfn5+cHJywqeffoqXX34ZH374ISZOnAh7e3solUqsWrUKALB69WpcunQJ9+/fx8OHDzF27FjDHUgiKlfklrtbtGiByZMnY/z48WjatCmqVauG+/fvY+7cuRgyZIiUZ8eNG4evv/4awJMpHZs2bYKfnx+EEBBCYPr06XB2doazs7PO7a1evdro/UuWi7dyI7M0b9481K5dm7c4IyIiIoPitAoiIiIiIg1OqyCzExAQIE1rqFGjBm91RkRERAbDaRVERERERBqcVkFEREREpGGUaRX37z8q0euqVnVASkqmgaMpHcZUPIypeBhT8VhqTNWqGe/HXQryrtz6Tm7xAPKLSW7xAPKLSW7xAPKLSW7xAPKIqSR5V1YjxzY2ClOH8BzGVDyMqXgYU/EwppKTW5xyiweQX0xyiweQX0xyiweQX0xyiweQZ0zFwQvyDOzgjcPPLevX6E0TREJEJA/a8iLA3EhE8sTiuAzwi4GIiIjIPMhqWgURERERkSmxOCYiIiIi0mBxTERERESkweKYiIiIiEiDxTERERERkQaLYyIiIiIiDRbHREREREQavM8xEREZhLZ7ujsk2ZkgEiKikuPIMRERERGRBkeOTYi/nEdEREQkLyyOZYhFMxEREZFpsDguIV0FLBERFQ8HAohIjjjnmIiIiIhIg8UxEREREZEGp1Vo6Dq99361YWUciW4FMTok2SEzI1tazlOQRERERIbB4piIiPRi7GsuOBeZiEyJ0yqIiIiIiDRYHBMRERERaXBaxQvsjj1QaH4vEREREVkujhwTEREREWmUu5Fj/ngHEREREelS7opjMr7g8Btalw/u2qiMIyEiIiLSD6dVEBERERFpcOSYiIi0kts0NN7/mIj+r737DIjqWr8GvmBoUiygolhJsaGINRobtmsSxXoTJUKMDQ0hXvUmAiFiNHlFjSWxREW9qMQk5oqAWBMLhmtDo9iCmigKNqSoiHRmvx8czl+UgRmYCuv3yRmmrH3OnGce9+wzowtsjqsBvmEQERERaQabY6q059cW29hY4qkBfuUd1z8TERGROtgcV2PVdUZZmw0vm2kiIqKardo2x4a2Vk6briQ/VPP228u8/lVZtzKv11djqKxRJaKaSVmtG6qn/7uWVaP4H2ki41dtm2PSHDapRGSMlNWuqaM76jgJERkTNsekd/povtnwE1Uf2j6eDalGcWaaSPvYHJPO6PoNzMbGUmuPXYJvVESkCk3VENYiIu0zmua4Jq0hpurrxwNXyvxWD76xEf0fdc+juF58uszrlZ1Hoew4JCICjKg5pv97wzA3N0NhYZGe0xCg/VkczhKRLnDyQXPU/YQsKu6GRr4KU9OfzL2YiTWHahI2x3qkbHakTfN6Ok7yjLqzL6ScsjcqZUs9DG0NtLpNOc/ap/Loq9Ypq2mu6K3V5yUi42ZwzbGxz2Co+3Ggth5Dk9Rtmtlka58mmtcSuv4BF01l13bzXdYa9qdP89n0VwOJuSdRWPzyp2+sUcpp6j/wlalRgGp1ylg+seMngobPRAgh9B2CiIiIiMgQmOo7ABERERGRoWBzTERERESkwOaYiIiIiEiBzTERERERkQKbYyIiIiIiBTbHREREREQKbI6JiIiIiBT0+iMg7733Hiwtn/1imKmpKbZs2YJHjx5h2bJlaNasGW7evInZs2ejfv36Oslz+/ZtfPjhh2jcuDEAIDs7G61bt0aTJk0QHx8v3W769Ono1auX1nKkpaXh22+/xZUrVxAREQEA5W6XjRs3Ijs7G1lZWejVqxcGDhyok0wLFy5ErVq1YG1tjStXruDzzz9HgwYNcPv2bUyZMgUNGjQAALi4uCAgIEAnmVatWqV0X+lrO/n4+CA3N1e6zdWrVxEXF4e0tDStb6fk5GR8++23aNeuHe7fv4+6devCz89Pr68nZZn0+XpSlknfryd1HD9+HL/++iscHBxgYmICPz8/nT23urVc09tOUzUzMTER27ZtQ9OmTZGRkQF/f3+YmVXubVJT9UlTmTRZCzSRSZPHnKa2kVwux/Tp0+Hq6orCwkKkpKRg4cKFyMvL08s2UpZnw4YNettGAJCXl4d3330XvXv3hr+/v96PNa0QerRy5cqXrps7d67Ys2ePEEKIQ4cOiU8//VRneTIzM8WxY8eky9999504ffp0mTm1ad++feLQoUNi1KhR0nXKtktCQoKYMmWKEEKIgoICMXjwYPH48WOdZFq+fLn07/Xr14sFCxYIIYRISUkRERERGs+gSiZl+0qf26lkvwkhRHJyspg7d64QQjfb6fz58+K3336TLr/99tvi4sWLen09Kcukz9eTskz6fj2pKicnRwwaNEjk5+cLIYTw8/MTx48f19nzq1PLtbHtNFEz5XK5GDp0qHjw4IEQQoiQkBDxyy+/aDSTuq8nTWbSVC3QVCZNHXOa3EbFxcVizZo10uXp06eL6OhovW0jZXn0uY1K7j9nzhyxaNEiIYT+jzVt0OuyimvXriE0NBSrVq1CbGwsAODo0aPo1KkTAKBz5844evSozvLUq1cPb775JgCgoKAAly5dQteuXQEAa9euxaZNmxAaGlpqFlAb3nrrLdjY2JS6Ttl2OXLkCNzc3AAA5ubmeOWVV3D6dNk/36zpTLNmzZL+LYSAtbW1dPnIkSPYuHEjvv32W/z9998az6MsE1D2vtLndnrnnXekf2/duhVeXl7SZW1vJ1dXVwwaNEi6LJfLUatWLb2+npRl0ufrSVkmQL+vJ1UlJCTAyckJFhYWAJ7t05Kaqgvq1HJtbDtN1MyUlBTk5eVJn1BU9f1HE/VJk5k0VQs0lUlTx5wmt5GpqSl8fX0BAEVFRUhNTYWzs7PetpGyPID+tlFUVBQ6d+6Mpk2bStfp+1jTBr3OYU+dOhWurq4oLi7G+PHjYWNjg4yMDKmg2Nra4vHjxygqKtL5dHtMTAyGDh0K4FmRa9KkCaytrbFt2zZ89dVXWLhwoU7zKNsumZmZeOWV//s9dltbW2RmZuo0W1ZWFv73v/9h1apVAAB7e3vMmDEDr7/+OtLT0/Hee+8hKioKtWvX1noWZfvKELZTdnY27t27h1atWgHQ/Xb67bff0Lt3b7z66qsG83p6PlMJfb+ens9kyK+n5z2/P0vyZGRk6Oz51anlutp26j6/Lrahuq8nbWWqSi3QRqaqHHPayBMXF4fNmzfD3d0dHTp00Ps2ejGPlZWVXrbR33//jRs3bmD27Nm4evWqdL2+t4826HXm2NXVFQAgk8nQtWtXnDp1Cg4ODnj69CmAZ81EnTp19LIOZf/+/dKM3+uvvy7NYvXo0QMnT57UeR5l28Xe3l66vuRv9vb2Osv15MkTzJ8/HwsXLkTdunUBANbW1nj99dcBAPXr10f9+vVx5coVneRRtq/0vZ0AYMeOHRgzZox0WZfb6eTJkzh16hQ+//xzAIbxenoxE6D/19OLmQz59fS85/dnSR4HBwedPb86tVxX207d59fFNlT39aSNTFWtBZrOVNVjThvbqE+fPti0aRNu376Nbdu26X0bvZhHX9vot99+g4WFBUJDQ/HHH3/gwoUL2Lx5s963jzborTm+fv06/vvf/0qXb926hebNm6Nfv344d+4cAODs2bPo16+fzrOdPHkSnTp1grm5OQBg8eLFpXK2aNFC55mUbZf+/fsjISEBwLOPXa5fv45u3brpJFNmZibmz5+POXPmoFmzZjhw4ACAZx+7lPyvsrCwEPfv30eTJk10kknZvtLndgKefWQYFxcHd3d36TpdbafY2Fj873//Q1BQENLS0nDu3Dm9v57KyqTv11NZmQz19fQiNzc33L17FwUFBQCe7dPnX2vapG4t19W2U/f5mzVrBisrK6Slpb10H01R9/Wk6UyaqAWazKSJY06Tef7+++9Sy5GaNm2K27dv620bKcujr2300Ucfwc/PDz4+PujSpQtcXV3x4YcfGuSxVlUmQgihjydOTU3FggUL0K5dO2RnZ6OoqAiBgYHIysrC0qVL4eTkhJSUFPz73//W2bdVlJg9eza++OILaTZj2bJlyM3NhYODA65du4YZM2ZI6360IT4+HlFRUYiLi4OnpycmTZqEvLw8pdtl48aNyMrKwuPHj9G3b1+tnDVfViZPT08UFRVJM3w2NjZYt24dTpw4ge3bt6Nt27a4desWunTpUmrGVJuZ1qxZo3Rf6Ws7WVlZ4eDBg7h//36p9ca62E6XLl2Ct7c32rdvDwDIycnB+PHjMWDAAL29npRlCg8P19vrSVmmpKQkvb6e1HHs2DEcOHAA9erVg7m5uc6+raIytVzT205TNTMxMRHh4eFwcnLC48ePq3QGvabqk6YyabIWaCKTJo85TW2j5ORkLFmyBO3atZOauS+++ALm5uZ62UbK8mzdulVv2wgADhw4gG3btqGwsBDjx49H79699XqsaYPemmMiIiIiIkPDHwEhIiIiIlJgc0xEREREpMDmmIiIiIhIgc0xEREREZECm2MiIiIiIgU2x0RERERECmyOiYiIiIgU2BwTERERESmwOSYiIiIiUmBzTERERESkwOaYiIiIiEiBzTERERERkQKbYyIiIiIiBTbHREREREQKbI6JiIiIiBTYHBMRERERKbA5JiIiIiJSYHNMRERERKTA5piIiIiISIHNMRERERGRAptjIiIiIiIFNsdERERERApsjomIiIiIFNgcExEREREpsDkmIiIiIlJgc0xEREREpMDmmEhNX375Jbp27YqdO3fqOwoRERFpGJtj0qudO3fC29tb3zHK5e3tXaoR/vLLL9G2bVs9JiIiUp0x1NmqeLFGE1UVm2MiIiIiIgUTIYTQdwjSv4CAAERGRqJr167YunUrUlJS4OXlhbi4ODx48ABTp05FQUEBfvzxR1hYWGDhwoVISkqCXC7HoEGDMGXKFBQWFmLy5MmIj49HcHAwjhw5glOnTmHjxo24efMmIiIiUKtWLVhZWWHOnDnIyMhAcHAw0tPT0bZtW7Rq1Qpz584tlUsul2P+/Pm4du0aZDIZWrRogaCgIJw4cQLffPMN6tevD1dXV5w8eRL16tXDV199hRUrVuDixYsYMmQIZs2aBQAQQmDTpk349ddfIZPJ0LJlSwQFBcHW1hYA8Pvvv+P777+HTCaDlZUVgoOD0aJFCyxbtgw//fQT6tevjwYNGmDy5Mlwd3eHt7c3unTpghs3buDq1asYMmQIZs+ejYKCglLbIDY2FklJSfD398fgwYMBAE+fPsXXX3+NmzdvQgiBESNGwNPTEwBw8OBBbNiwAVZWVjA1NcWMGTPQqVMnnD17Ft988w3Mzc0hhMCkSZPQv39/Hb5CiKiqDLXOAkBycjIWLFiAvLw8FBYWonfv3vjkk08AKK+P27dvx/r169GxY0fY2dnh7NmzaNOmDfz8/LB8+XIkJibiww8/xPjx43HhwgXMnTsXT548gYeHB/744w88fvwYc+bMQZ8+fQAA27dvR2RkJCwsLGBiYoK5c+fitddeA/CsboaEhOD69esAAGdnZ3z66acICwt7qUbHxsZi9+7d8PLyeqlGl9i4cSN+/fVXmJmZoW3btvD394eFhQWuX7+O+fPnAwCKiorwz3/+E6NHj0Z6ejoCAgKQn5+PoqIi9O/fHz4+Plp9vZAeCSKFfv36ibNnzwohhAgLCxNt27YVFy9eFEIIERoaKv07MDBQ+Pv7CyGEyM3NFcOGDRORkZHS47Rq1UqsWrVKCCHErl27RHx8vOjevbvIz88XQgixefNmERERIYQQIiIiQnh5eSnNFBsbKyZPnixd9vX1FSkpKdJ93dzcxJ07d4RcLhcjRowQU6dOFfn5+SI9PV24uLiI1NRUIYQQkZGR4p133hE5OTlCCCE+//xzERgYKIQQIjk5Wbi5uYkbN24IIYSIiooSQ4YMEYWFhUIIIby8vKS8Jby8vISPj4+Qy+UiNTVVtGvXTty/f7/UNggNDRVCCLFnzx7xj3/8Q/pbUFCQ+Oyzz4QQQjx58kQMGDBAnD59WgghRI8ePURaWpoQQojffvtNrFy5UgghxJgxY0RCQoIQQojExERp+xORcTHEOltUVCTefvttsXPnTiGEEFlZWaJPnz5CiIrr48qVK0Xfvn1FVlaWyM/PFz179hRBQUFCLpeLS5cuCTc3N+m2J0+eFK1btxZHjhwRQgjxxx9/CDc3N5GZmSmEEOKnn36S8p88eVJ4enpKGb/44gsREBAghBCiuLhYTJs2TZw8eVIIobxGT506tcwaHR0dLd566y2Rk5Mj5HK5mDFjhlizZo0QQogZM2aIPXv2CCGEePDggfT+s3jxYrF+/XohhBBPnz4V48aNU7o9yfhxWQVJ+vbti9jYWADAxYsXMXjwYBw9ehQA8Oeff8LFxQVyuRwxMTEYM2YMAMDKygrvvPPOS+u9Bg0aBADw8PBAhw4dAABRUVHIzc3F+PHjMWzYMJUy1a5dG9euXcOxY8cgl8uxfPlyODk5SX93dnaGk5MTTExM8Nprr+GVV16BhYUFHBwcYG9vj9u3bwMAoqOj8fbbb6NWrVoAgNGjR2PXrl0oKirC7t270aFDBzg7OwMAhg0bhrt37+LcuXPlZuvVqxdMTEzQsGFD1KtXD3fu3Cn195LZkNatW0t/k8vliI6Oxj//+U8AgK2tLfr3749du3YBAOrUqYNffvkFWVlZGDBggDQzUadOHURHRyM9PR1t2rTBvHnzVNp+RGRYDLHOJiQkIDk5GR4eHgAAOzs7rFixAgBUqo+urq6ws7ODhYUFWrRogdatW8PExAStW7dGTk4OMjIypNva2NjA3d0dANC5c2c4ODhI43/ttdcwffp0vP/++1i2bBkuX74M4FndjIqKwujRowEApqamCAgIkGaVlendu7dUo+vWrSvV4cjISAwdOhS1atWCiYkJhg0bhujoaADPau3+/ftx+/ZtNGjQAKtWrQIA1K1bF3Fxcfjrr79gbW2N//znPyptWzJObI5J4u7ujiNHjiAnJwfW1tYYMGAAjh49isePH8POzg4mJibIzMxEQUEB7O3tpfvZ29sjNTW11GOVLFcAnhX2H374AfHx8Rg4cCCCg4ORnZ2tUqZOnTrhq6++woYNG9C/f39s2rQJ4rmVQDY2NtK/zczMXrpcWFgIALh///5LmQsLC5GRkfHS32QyGWrXro379++Xm+35MVpYWEjP9eLfLS0tpb+VbL9vvvkG3t7e8Pb2xunTp1FQUAAACAsLQ2pqKt5++23MnDkTDx48AAAsW7YMVlZWGDVqFCZPnoybN29WvPGIyOAYYp1NTU1F7dq1YWZmJl3XpUsXAC/XzrLqo7I6XPJ4z9fGOnXqlHruunXr4sGDB3jy5AmmTZuG9957Dz/++COWL1+OvLw8AChze7Rs2RIODg7ljuv57fN8Hb5//z5iYmKkGrxhwwaYmj5rhz7//HO0adMGEyZMgKenJxISEgAAkydPxj/+8Q/MmjULI0aMkP6DQ9UTm2OSvPnmm7h16xZ27tyJnj17om/fvvjzzz8RHR2Nvn37AnhWoC0sLJCZmSndLzMzE46Ojkoft7CwEA4ODli6dCkOHDiAx48fY/HixSplevLkCbp3747NmzcjPDwcUVFRiIqKUntsjRs3fimzubk56tev/9LfiouLkZWVhUaNGqn9PBUp2X5z585FeHg4wsPDsWPHDgQFBQF49sYzf/58HDp0CA4ODggMDAQAFBQUYM6cOThy5Ai6desGX19fjWcjIu0zxDrbqFEjZGVloaioSLru+vXryMvL03h9fPz4canLDx8+RMOGDZGUlITs7GzpE7fns5S1PVJTU5GWllapDI0bN8a7774r1eBffvkF27ZtAwBkZWXB19cXBw8exNixY/HRRx9Js9/e3t7YvXs3/P39MWfOHCQnJ1fq+cnwsTkmiZWVFbp3747vv/8effr0Qb169dC+fXuEhoaiZ8+eAJ59nDVy5Ejp4728vDzs27dP+rirLKmpqdIJIHZ2dmjbti2Ki4sBPJtxyM3NBQB88sknpQoiAPz222/Yvn07AKB58+ZwdHSEXC5Xe2yjRo3C/v37pZmIqKgoDB8+HDKZDEOHDsWlS5dw69YtAMDevXvh5OSETp06lcp48+ZNld9slCnZfiXLKABg7dq1UsM/ffp0FBcXw8rKCq6urtJ2mjFjBnJzc2FmZobOnTtL1xORcTHEOtuxY0c0b94cu3fvBgA8evQIM2fOVKk+qisvL0+adT1z5gwyMzPRr18/ODk5wczMDBcuXAAAxMXFSfd5cXvI5XIEBQVJzbG6Nbrk/SA/Px8AcOrUKWmpWmBgINLT02FiYoJu3bqhqKgIJiYm0gmGwLNlJCUnR1P1ZFbxTagmcXd3R35+Puzs7KTLp0+fLvWxWUBAABYuXAhPT08UFxdj2LBhGDFiBABg0qRJAIDZs2dj1qxZ6NmzJ+zt7VGnTh14enrC1NQUlpaW+PrrrwEAPXr0wLp16zBu3Di0b9++1Md6AODm5oZFixbh8OHDyMnJQevWrTFixAicOHECoaGhSE9Px8qVK+Ho6Ii4uDhYWlqiTZs2OHbsGNLS0rBw4UIsW7YMHh4eePDgASZMmABTU1Pp2yoAoFmzZli5ciX8/f2ls7HXrVsnZRkzZgyWLl2KyMhIfPrpp1iyZAkSExORlpYGZ2dnREdHl3quhQsXSttg06ZN0hnSkyZNwn/+8x9p+40bN046U/rjjz8GAHTr1g3jx4+Hubk5iouLpYI9cOBATJw4Eebm5sjLy6tyk05E+mNodVYmk2HdunVYsGABduzYAblcjrlz58Lc3Lzc+hgTE4PIyEjk5+fjxx9/RGZmZqnauGnTJilnaGgoAMDR0RGJiYnYtGkTHj16hO+++w716tUDAHzxxRcICgrC66+/jhYtWkhjfb5uenp6QggBDw8PtGvXDoD6NdrDwwNpaWnw8vJCrVq1YGtriwULFgB4tqbaz88PFhYWyM7OxpIlS1CrVi289dZb+PrrryGTyZCdnY2ZM2dKGan64Ve5ERERkdadOnUKgYGBOHz4sL6jEJWLyyqIiIiIiBTYHBMREZFWXbhwAQsXLkRaWhpmzJih7zhE5eKyCiIiIiIiBc4cExEREREpaOXbKtLSnmjjYVVWr541Hj7M0WuG8hhyPmarHGarPEPOp+lsDRrYaeyxXlRe3TXkbaxJHGf1URPGCNSMcep7jJWpu9Vy5tjMTKbvCOUy5HzMVjnMVnmGnM+Qs6mjuoyjIhxn9VETxgjUjHEa4xj5PcekcXtu/Frm9UNf+YeOkxBRdcLaQkS6wOaYiIgMirImmIhIF9gck2TPjV9hnWqJnKf5pa7nrAwRERHVFNVyzTERERERUWVw5piIiDSCa4KJqDpgc0xERHrBtcVEZIi4rIKIiIiISIHNMRERERGRAptjIiIiIiIFNsdERERERAo8IY+IiLSKJ94RkTFhc0xERGoxtGa3JM+LP2LEr5AjosrgsgoiIiIiIgU2x0REREREClxWYUQM7den1P1oVVP5l8VuL/P6f7uPVetxiKh6M7SaSUTGgc0x6R3fwIiIiMhQsDmuxjTVdBrayTdERERE2sLmmAzWi8snzM3NUFhYpKc0RFRd8NMqIioPT8gjIiIiIlLgzHE1oKkT42qSqLgbZV4/ss8rOk5CREREhoTNcSVp4mM5frRHRIaM/5EmopqIzbEOvPgG8+KvOFV0e9IdzigTGZ8ryQ8BvHxeQpvm9fQViYiMGJtjqlDJG8+LjOGNR1mzS0RERFQWNsdERERGIiruBmxsLPH0hU8f+ekWkeawOaZqo+zlKK/pPAcRGSeeB0JEAJtjMgDKlm1o4nFelan3GNeLTyv5C2dliKjy1D2fgUvCiPSHzTFVmjGvRdY2nthHVH1o83hmE0xkeNgck8axaSYiQ6apGvXir3gCwL/dx1YqU1XxP+REmsPmmIiIqBzKl1sRUXXE5rgGqkkzuzXtTa2s2SMbG0sM7txED2mI9Evd8xk0cf4Dl0kQGT82xxrGH/Cg8qj7xsmPRKkm0tRJuoZE2X/UX5V103GSZ7gMg0g5NsckuZL88KVfmNL04xuriprasr53lIhqHnU/rdJ208yZbCL1sTmugDHMBBtz01ldGdoskTKcPSLAOOocEZGusDkmIiIycoY2A13V72+u6NO4sh6f/9knTalxzbExz5Bwhph0hW8yRDWTppZhcDkHGbMa1xwbEja7xqOidYTmuWYoLK78Wm1lj78stuzr9fVdqkSVwVqnvvJqTlXrDVWOoU0aGFqe6sTgmmNN/ba9ujPE6n69mTq3f/G22jzpjQybpr5arqwfH1DGPNcMT+M6qZVH2Uexyp5XnWb9xWPTOtUSOU/z1T7GNfXGUN4MV1kf7dakNx42tcZPUzVHU8szVM1T8h8AbZ6nYQiz5M/XGENrspXRZk5DafhNhBBCp89IRERERGSgTPUdgIiIiIjIULA5JiIiIiJSYHNMRERERKTA5piIiIiISIHNMRERERGRAptjIiIiIiIFNsdERERERAoG9yMgFTl+/Dh+/fVXODg4wMTEBH5+fqX+np+fj8WLF8PR0RE3b96Ej48PnJ2dAQAhISEwMzODXC5HXl4e5s6dC1NTzf3/oKJsALB3714sX74cQUFB6N+/v3R9dHQ0EhMTYWpqiubNm2PcuHEay1WVbBcuXMCWLVvQrl07JCUlwdXVFe+9955BZCuRkZGBkSNHYtq0afDy8tJotqrmS0hIwLFjx2BqaopTp04hJCQEjRs3Nohs+j4eQkNDkZ6ejvr16+Py5cuYMWMGXn31VQD6Px6UZdPF8VAVVamPxqQqry1jocqxDQC7du3CZ599hrNnz8LGxkbHKauuonEKIRAeHg4AuHPnDrKyshASEqKPqFVS0ThTUlKwZMkSdOjQAYmJiRg2bBgGDhyop7SVk5aWhm+//RZXrlxBRETES383qvojjEhOTo4YNGiQyM/PF0II4efnJ44fP17qNuvXrxehoaFCCCGuXLkiPD09hRBCJCQkCA8PD+l2Hh4e4syZMzrNlpycLE6cOCG8vLzE4cOHpevv3bsnhg8fLuRyuRBCiNGjR4ukpCSDyHbw4EFx/vx5IYQQBQUFomvXriIjI8MgsgkhRHFxsQgKChLTp08X4eHhGsuliXxPnjwRfn5+pW739OlTg8hmCMfDihUrpNf8nj17xLRp04QQhnE8KMum7eOhKqpSH41JVfafsVBljEII8ffff4vly5eLVq1aiezsbF3HrDJVxhkZGSkiIyOly4mJibqMqBGqjDM4OFiEhYUJIYS4fPmyGDx4sK5jVtm+ffvEoUOHxKhRo8r8uzHVH6NaVpGQkAAnJydYWFgAADp37ozY2NhSt4mNjUWnTs9+Krd169a4cuUKsrOzUbduXeTk5KCoqAhFRUUwMTFB06ZNdZqtWbNm6NGjx0v3jYuLg4uLC0xMTAAAnTp1wu+//24Q2QYOHAhXV1fpskwmg7m5uUFkA4ANGzbg3XffRZ06dTSWSVP5jh49Cmtra4SFhWH16tW4fPkyrK2tDSKbIRwPM2fOlF7zcrlc2jaGcDwoy6bt46EqqlIfjUlV9p+xUGWMubm52LhxIz7++GM9JNQMVcYZExODR48eYevWrVi+fLlRzo6rMs769esjMzMTAJCZmQkXFxddx6yyt956q9z9Y0z1x6iWVWRkZJTa8La2tsjIyFDpNi1atMB7772Hf/3rXzA1NcWbb74Je3t7nWZTJjMzs9R9bWxsVL6vtrM9b9u2bZg+fTrs7OwMItvJkydhZWWFjh074qefftJYJk3lu3PnDs6fP4+vv/4aMpkMH3zwAerWrau00ddlNkM6HgoKChAZGYl58+YBMKzj4cVsz9PG8VAVVamPtra2OstZVZraf4ZMlTGuWLECvr6+UsNljFQZ5927d5GdnQ0/Pz8kJSVhypQp2Lt3L2Qyma7jVpoq45w4cSI+/vhjhISE4MKFC/D19dV1TK0zpvpjVDPHDg4OePr0qXQ5OzsbDg4OKt3m0KFDOHXqFNasWYNVq1bh9u3b+OWXX3SaTRl7e/tS93369KnK99V2thIxMTHIycnBhx9+qLFcVc126NAh5OfnIzQ0FNeuXcOxY8fKXOekr3y2trZo164dzM3NYWpqCjc3N5w+fdogshnK8VBQUIAvv/wSs2bNQvPmzQEYzvFQVrYS2joeqqIq9dGYaGL/GbqKxnjv3j1kZWVh3759CA0NBQCEhYXh4sWLOs9aFarsS1tbW3Ts2BEA4OzsjOzsbNy7d0+nOatKlXEGBATg3XffRWBgINasWYNZs2bh0aNHOk6qXcZUf4yqOXZzc8Pdu3dRUFAAADh79izc3d3x6NEjaWre3d0d586dAwBcvXoVbdq0ga2tLe7fv48GDRpIj9WgQQPpcXSVTZk+ffrg8uXLEEIAAM6dO4e+ffsaRDYA+O9//4uMjAz4+vri6tWrSEpKMohsQUFB8PHxgY+PD1q1aoVevXphzJgxGstW1XxvvPEG7ty5I12+e/cuWrZsaRDZDOF4yMvLw7x58zBx4kS0b98eBw4cAGAYx4OybIB2j4eqqEp9NCZV3X/GoKIxNm7cGIsWLZLqH/Bs5rFDhw76jK02VfZlz549kZKSAuBZM1VcXFyqdhkDVcZ57949aVy1a9eGqakp5HK53jJrirHWHxNR8g5kJI4dO4YDBw6gXr16MDc3h5+fH5YsWYK6devCx8cHeXl5WLx4MRo0aIDk5GRMmzYNzs7OyMnJQXBwMJo0aQJTU1Pcvn0b8+fP1+hatIqyCSGwdu1a7NixA126dMHw4cPRp08fAM/Ozr906RJkMhlatmyp8bPzK5vt4MGD8Pf3R7t27QA8e6F/8cUXeOONN/SercSOHTuwbds2ODo6wtPTE/369dNYtqrm27ZtG+7cuQNzc3Pk5eXB399fo98IUdlshnA8+Pn54a+//kLDhg0BADk5OdLMv76PB2XZdHE8VEVl66Oxqcpry1hUNEbg2RKkn3/+Gd999x18fX0xbtw4ODo66jm5eioa55MnT/DNN9/AyckJycnJGDJkiMZrvC5UNM4zZ85g69ataNeuHW7fvg0XFxd4enrqO7Za4uPjERUVhbi4OHh6emLSpElYuXKlUdYfo2uOiYiIiIi0xaiWVRARERERaRObYyIiIiIiBTbHREREREQKbI6JiIiIiBTYHBMRERERKbA5JiIiIiJSYHNMRERERKTA5piIiIiISIHNMRERERGRAptjIiIiIiIFNsdERERERApsjomIiIiIFNgcExEREREpsDkmIiIiIlJgc0xEREREpMDmmIiIiIhIgc0xEREREZECm2MiIiIiIgU2x0RERERECmyOiYiIiIgU2BwTERERESmwOSYiIiIiUmBzTERERESkwOaYiIiIiEiBzTERERERkQKbYyIiIiIiBTbHRDoQExODoKAgfccgIqLnsDZTWUyEEELfIYjKsnPnTkRGRiI8PFzfUaqsuLgYeXl5sLGxAQAEBASgSZMm+OSTT/ScjIiqi+pUM3XlxdpckQEDBiAkJARvvPGGlpORPnHmmEgHZDKZysWXiIh0g7WZysKZY6pQQEAAIiMj0bVrV2zduhUpKSnw8vJCXFwcHjx4gKlTp6KgoAA//vgjLCwssHDhQiQlJUEul2PQoEGYMmUKCgsLMXnyZMTHxyM4OBhHjhzBqVOnsHHjRty8eRMRERGoVasWrKysMGfOHGRkZCA4OBjp6elo27YtWrVqhblz576ULTk5GQsWLEBeXh4KCwvRu3dvaTb2999/x/fffw+ZTAYrKysEBwejRYsW2L59O9avX4+OHTvCzs4OFy9eRP369bF69WpYWloCAI4dO4ZVq1bB3NwccrkcXl5eePvtt/HXX39h8eLF0vONHj0aY8eOxaFDh/DFF1+gVq1a+PTTT/HOO+/A29sbN27cwPTp07Fjxw48efIEhw8fxpYtWxAaGgpLS0s0adIEw4cPx4YNG/Dw4UO8//77mDVrFhYtWoTIyEhMnToVU6ZM0en+JqKqYc2sWs0MCQlBz549sXz5cpw7dw4mJibo1asXPv74Y5iYmJQaz4ULFzB37lw8efIEHh4e+OOPP/D48WPMmTMHffr0AQCkp6dj/vz5yMzMRGFhITw9PTFq1ChcvXoVc+bMkWrzoUOH8M0336B+/fro2LEjTp8+DVNTU6xZswYODg4IDAzE7t278corr6B27drw9/dHrVq1MH/+fABAUVER/vnPf2L06NHafHmRLggiFfTr10+cPXtWCCFEWFiYaNu2rbh48aIQQojQ0FDp34GBgcLf318IIURubq4YNmyYiIyMlB6nVatWYtWqVUIIIXbt2iXi4+NF9+7dRX5+vhBCiM2bN4uIiAghhBARERHCy8tLaaaioiLx9ttvi507dwohhMjKyhJ9+vQRQgiRnJws3NzcxI0bN4QQQkRFRYkhQ4aIwsJCIYQQK1euFL179xaPHj0SxcXFYujQoSImJka6b6dOnURSUpIQQojz589LORISEkRCQoIQQoiCggLx1ltvSbfbsmWLmDhxopTvt99+E9u3bxdCCHHy5EnRv39/6W/+/v5i5cqV0uVLly6Jzp07i9zcXCGEEOnp6SIwMFDp2InIsLFmVq1mfv/998Lb21sUFRWJgoICMXbsWBEVFVXmuE6ePClat24tjhw5IoQQ4o8//hBubm4iMzNTCCHEhAkTpHqbkZEhevXqJeLj46X7Pl+bIyIiRMeOHUVycrIQQogpU6aIdevWSX/v37+/OHnypHR5xowZYs+ePUIIIR48eCAmT56sdPuT8eCyClJJ3759ERsbCwC4ePEiBg8ejKNHjwIA/vzzT7i4uEAulyMmJgZjxowBAFhZWeGdd97Bzp07Sz3WoEGDAAAeHh7o0KEDACAqKgq5ubkYP348hg0bplKmhIQEJCcnw8PDAwBgZ2eHFStWAAB2796NDh06wNnZGQAwbNgw3L17F+fOnZPu37FjR9SpUwempqZ4/fXXcfv2bem+7du3R8uWLQEArq6umDlzJgCgRYsW2LFjB8aNG4dJkyYhLS0Nf/75p/Qcp0+fRmpqKgBg//79ePvtt1Uai4uLC5ycnHDo0CEAz04SGTp0qEr3JSLDw5o5E0Dla2ZkZCRGjRoFmUwGc3NzvPXWW9i1a5fSsdnY2MDd3R0A0LlzZzg4OODo0aNITU3FiRMnpG1sb28Pd3f3l7bx85ydndGsWTMAQOvWraVxlqVOnTrYv38/bt++jQYNGmDVqlVKb0vGg80xqcTd3R1HjhxBTk4OrK2tMWDAABw9ehSPHz+GnZ0dTExMkJmZiYKCAtjb20v3s7e3lwpfCVtbW+nfVlZW+OGHHxAfH4+BAwciODgY2dnZKmVKTU1F7dq1YWZmJl3XpUsXAMD9+/dL5ZDJZKhduzbu379fZg5LS0sUFhaWed/nH3fRokXIyMjAtm3bEB4ejrZt2yIvL08aa69evRAdHY3Hjx9DJpPBzs5OpbEAwPDhwxEVFQUAOHHiBHr27KnyfYnIsLBmVq1m3r9/H2FhYfD29oa3tzd27dqF4uJipWOrU6dOqct169bFgwcPpPwVbePnKRtnWT7//HO0adMGEyZMgKenJxISEpTelowHm2NSyZtvvolbt25h586d6NmzJ/r27Ys///wT0dHR6Nu3L4BnBcfCwgKZmZnS/TIzM+Ho6Kj0cQsLC+Hg4IClS5fiwIEDePz4MRYvXqxSpkaNGiErKwtFRUXSddevX0deXh4aN25cKkdxcTGysrLQqFGjCh/3xfsCwKVLlwA8W9/25ptvQiaTSfmfN3LkSERFRWHv3r0qzxqXGD58OE6cOIHjx4/jlVdegakpD08iY8WaWbWa2bhxY3z00UcIDw9HeHg4duzYgW+//VZphsePH5e6/PDhQzRs2FDKr842VkdWVhZ8fX1x8OBBjB07Fh999BFycnI08tikP3z3JZVYWVmhe/fu+P7779GnTx/Uq1cP7du3R2hoqDTDaWpqipEjR0ofV+Xl5WHfvn3lnpyQmpoqnTRiZ2eHtm3bSrMDNjY2yM3NBQB88sknpQo68OwjvubNm2P37t0AgEePHmHmzJmQyWQYOnQoLl26hFu3bgEA9u7dCycnJ3Tq1KnCsb543z/++ANr164FADRv3hznz58HADx48ABXr14tdd8BAwYgPT0dv/zyC3r37q30OUrGlpOTg3//+98AAEdHR3Tv3h1z5szBiBEjKsxJRIaLNbNqNXPUqFHYvXu3NLbIyEisW7dOaYa8vDxpGcuZM2eQmZmJfv36wdHREb1795a28cOHDxEbGysts1CXjY0N8vLycPLkSWzZsgWBgYFIT0+HiYkJunXrhqKiopdOGiTjY1bxTYiecXd3R35+vvSxl7u7O06fPl3qa3ACAgKwcOFCeHp6ori4GMOGDZMavUmTJgEAZs+ejVmzZqFnz56wt7dHnTp14OnpCVNTU1haWuLrr78GAPTo0QPr1q3DuHHj0L59+1IfBQLPPvZbt24dFixYgB07dkAul2Pu3LkwNzdHs2bNsHLlSvj7+0tnXq9btw5mZmaIiYlBZGQk8vPz8eOPP0ImkyEuLg6WlpZo2bIlPDw8pPuam5vDysoKX331FQDgs88+w2effYaxY8filVdeQdOmTREaGorGjRujZ8+esLCwwNtvvw1LS0sp79WrV7Fw4UKkpaVhxowZWLlyJYYNG4bAwEDEx8djwoQJ0phGjBiBjRs3ok2bNlrai0SkK6yZlauZADB58mR899138PT0hKWlJRo1aoQFCxYo3daOjo5ITEzEpk2b8OjRI3z33XeoV68eAGDJkiWYP38+xo8fj8LCQsyePRtdu3Z9qTZ7enoiNDQU6enpWLlyJVxcXKRxh4WFYeLEiRg7diwWL14MW1tb/L//9/9Qu3Zt+Pn5wcLCAtnZ2ViyZAlq1apV1ZcO6Rm/yo3IgBw9ehR//fUXv76NiEhFp06dQmBgIA4fPqzvKFRNcFkFkQEoORFv165d0pnkREREpHtsjokMwJEjRzBy5Eg0b95cYyeKEBFVdxcuXCi1NIJIE7isgoiIiIhIgTPHREREREQKWvm2irS0J5W+b7161nj40Di/I9CYswPGnd+YswPGnd+YswO6zd+ggeo/CqOumlp3X8SxGCaOxTDVhLFUpu4a3MyxmZlM3xEqzZizA8ad35izA8ad35izA8afXxOq0zbgWAwTx2KYOBYlj6WxR6ph9tz49aXrrFMt0d+xnx7SEBGRISjrvQEAhr7yDx0nIaLKMriZYyIiIiIifWFzTERERESkwOaYiIiIiEjB4NYc/3JpN3Ke5r90vbbXa3GdGBEREREZXHOsKWx2iYiIiEhdXFZBRERERKTA5piIiIiISKHaLqtQRtlyCyIiIiIizhwTERERESmwOSYiIiIiUqhxyyrUxWUYRERERDUHm2MiIqpR1J304FeAEtUsRtMc83uLiYiIiEjbjKY5VobLHoiIiIhIU4y+OSb1RcXdKPP6qaM76jgJEZH2aHvyhJMzRNUTv62CiIiIiEiBzTERERERkQKXVRARERkJnpxOpH1sjomIyKg93zBap1oi52m+1h6fiKo/NsdERERaxu9WJjIebI6JiIhIJ5R9W9LIPq9Uq+ck48bmWAe4RoyIajLWQCIyJmyOiYiIDMyeG79qZf00EVWMzbER4ewLEWnDL5d2l9mE6au2sNaRISpZnmFjY4mnzx0vXJ5R/bA51jB1TrrQ9huAsnVWyvx44EqpA74ED3wiIiKqKdgcG5EryQ/LvL7wjnpNMBGRMeJXqlVf6p40V9btOZFDmsLmWI+UNbtDeXwTEZERe7F5fXEpgi6eU1ePo+7t2cQbPjbHBkhTBzgREZE2KZ/Nf02nOaoDfuWc4WBzrAPKZoiVuV58WiO3f1XWTa3HUUZT/ys2hgPfGDISVRdcJqE5/JERIs1hc0x6p4m1ZjY2lhjcuYlGcxER1TSG9k0h/CSV9IHNMWmcvtZ9qfMYnAkm0jzOBFdf3LfVF98nX8bmuBrT9nILIqreDG0WkZRTtnyvTfN6Wn18ZV6VaeRptaq6zkqz2a06Nscapm4BIePAYkNExkjdb0Xie5j26aspV7YkUVuPDRjveySbY6o2qussAJGh4Ufsxm9Z7HatPv6Ln1ya55qhsLhI6e35iab6DKnJ1vZj67rJZnNcAylbbuGK3lp9fBY/9RlKoSAiIqop2BxThapjs6vtkwYNrXk1lpxExk7dZQnK1gRfSX4Ic3MzFBYqn20l0qaa/GmswTXHF/9OL7MYlFdAyqLu7TXB3NzgNqdaEnNPlvux14vU/T5mdR9H3ea7rMdR9hjqZlf3cZbFqjemOq1SkFPmr0dp94v0jeGXnTTxVX/l3V4ZnoymOdo+WUxTNNXYavM5qyt13wfUqeHGPJEDGHeTaqwTMyZCCKHvEEREREREhsBU3wGIiIiIiAwFm2MiIiIiIgU2x0RERERECmyOiYiIiIgU2BwTERERESmwOSYiIiIiUtDbF/MeP34cv/76KxwcHGBiYgI/P79Sf8/Pz8fixYvh6OiImzdvwsfHB87OznpKW1pF2UNDQ5Geno769evj8uXLmDFjBl599VU9pX1ZRflL7Nq1C5999hnOnj0LGxsbHacsW0XZhRAIDw8HANy5cwdZWVkICQnRR9SXVJQ9JSUFS5YsQYcOHZCYmIhhw4Zh4MCBekr7srS0NHz77be4cuUKIiIiXvq7IR+zFWU39GO2KqpSa6Ojo5GYmAhTU1M0b94c48aN08cQJFUZy4ABA9CkSRMAQMOGDbFs2TKd53+eKnV47969WL58OYKCgtC/f3/pemPbL4DysRjbfimvVhjbfilvLMa2X/bu3YtDhw6hTZs2uHjxIkaOHIkBAwYAqOR+EXqQk5MjBg0aJPLz84UQQvj5+Ynjx4+Xus369etFaGioEEKIK1euCE9PT53nLIsq2VesWCHkcrkQQog9e/aIadOm6TynMqrkF0KIv//+Wyxfvly0atVKZGdn6zpmmVTJHhkZKSIjI6XLiYmJuoyolCrZg4ODRVhYmBBCiMuXL4vBgwfrOma59u3bJw4dOiRGjRpV5t8N9ZgVouLshnzMVkVVau29e/fE8OHDpe0yevRokZSUpLvwL6jq+8bKlSt1F7YCqowlOTlZnDhxQnh5eYnDhw9L1xvjflE2FiGMb78oqxXGuF/Kq3vGtl8iIiLEnTt3hBCl3z8ru1/0sqwiISEBTk5OsLCwAAB07twZsbGxpW4TGxuLTp06AQBat26NK1euIDs7W9dRX6JK9pkzZ8LExAQAIJfLYW1treuYSqmSPzc3Fxs3bsTHH3+sh4TKqZI9JiYGjx49wtatW7F8+XKDmfFWJXv9+vWRmZkJAMjMzISLi4uuY5brrbfeKnd7GuoxC1Sc3ZCP2aqoSq2Ni4uDi4uLtF06deqE33//Xaf5n1fV943Tp09jw4YN+Pbbb3H27FmdZn+RKmNp1qwZevTo8dJ9jXG/KBsLYHz7RVmtMMb9Ul7dM7b9Mnr0aDg5OQEAbt26Jc2AV3a/6GVZRUZGRqk3KltbW2RkZKh0G1tbW53lLIsq2UsUFBQgMjIS8+bN01W8CqmSf8WKFfD19ZVeiIZClex3795FdnY2/Pz8kJSUhClTpmDv3r2QyWS6jluKKtknTpyIjz/+GCEhIbhw4QJ8fX11HbNKDPWYVYchHrNVUZVam5mZWep6GxsbpbVOF6r6vvHpp5/C1dUVubm5GDVqFNavX48WLVroLL8qOVVhjPulPMa6X16sFca8X8qqe8a4X/Ly8rBq1SrEx8dj6dKlACq/X/Qyc+zg4ICnT59Kl7Ozs+Hg4KD2bfRB1VwFBQX48ssvMWvWLDRv3lyXEctVUf579+4hKysL+/btQ2hoKAAgLCwMFy9e1HnWF6my7W1tbdGxY0cAgLOzM7Kzs3Hv3j2d5iyLKtkDAgLw7rvvIjAwEGvWrMGsWbPw6NEjHSetPEM9ZlVlqMdsVVSl1trb25e6/unTp3rdn1V933B1dQUA1KpVC23bttXrbFhVjhVj3C/lMcb9UlatMNb9oqzuGeN+sbKywmeffYalS5figw8+QGFhYaX3i16aYzc3N9y9excFBQUAgLNnz8Ld3R2PHj2SPgJzd3fHuXPnAABXr15FmzZtDGIGSpXseXl5mDdvHiZOnIj27dvjwIED+oxcSkX5GzdujEWLFsHHxwc+Pj4Ans1odujQQZ+xAai27Xv27ImUlBQAzw6g4uJiNGjQQG+ZS6iS/d69e1LW2rVrw9TUFHK5XG+ZVWEMx6wyxnLMVkVVam2fPn1w+fJlCCEAAOfOnUPfvn31MxBUbSwnTpwo9VHqrVu30KxZM90PQkGVsShjjPtFGWPcL8pqhTHuF2VjMcb9smnTJmnbN2rUCA8fPkR+fn6l94uJKLmHjh07dgwHDhxAvXr1YG5uDj8/PyxZsgR169aFj48P8vLysHjxYjRo0ADJycmYNm2awZz5XlF2Pz8//PXXX2jYsCEAICcnp8wz5PWlovzAs48ifv75Z3z33Xfw9fXFuHHj4OjoqOfkFWd/8uQJvvnmGzg5OSE5ORlDhgxBv3799B0bQMXZz5w5g61bt6Jdu3a4ffs2XFxc4Onpqe/Ykvj4eERFRSEuLg6enp6YNGkSVq5caRTHbEXZDf2YrYqq1Nro6GhcunQJMpkMLVu21PvZ95Udy9WrV7F69Wq4uLjgwYMHcHR0xLRp0wx6LEIIrF27Fjt27ECXLl0wfPhw9OnTB4Dx7RdlYzHG/VJerTC2/aJsLMa4X9auXYvU1FQ4OTnh+vXr6Ny5M8aOHQugcvtFb80xEREREZGh4Y+AEBEREREpsDkmIiIiIlJgc0xEREREpMDmmIiIiIhIgc0xEREREZECm2MiIiIiIgU2x0RERERECmyOiYiIiIgU2BwTERERESmwOSYiIiIiUmBzTERERESkwOaYiIiIiEiBzTERERERkQKbYyIiIiIiBTbHREREREQKbI6JiIiIiBTYHBMRERERKbA5JiIiIiJSYHNMRERERKTA5piIiIiISIHNMRERERGRAptjIiIiIiIFNsdERERERApsjomIiIiIFNgcExEREREpsDkmIiIiIlJgc0xERFSN5OTkwMfHB+PGjcOIESNw584dvWVZvXo1evXqhVWrVlV42+LiYnh7e6N169a4ffs2AODMmTOYNGmStmOq7Pbt23jnnXf0HYO0jM0xGZydO3fC29tb3zE05vlCT0RUFarUxz179qCoqAg///wzZs6cCVNTzb7VBwQEqNTsAoCfnx/69Omj0m1lMhnCw8NLXdelSxd89913amfUlqZNm+Lnn3/WdwzSMjN9ByAiIiLNSU1NRcOGDQEA/fv313OaqjExMYGdnZ2+Y5RSu3ZtfUcgLWNzTEoFBAQgMjISXbt2xdatW5GSkgIvLy/ExcXhwYMHmDp1KgoKCvDjjz/CwsICCxcuRFJSEuRyOQYNGoQpU6agsLAQkydPRnx8PIKDg3HkyBGcOnUKGzduxM2bNxEREYFatWrBysoKc+bMQUZGBkJDQ5Geng5vb2+0atUKc+fOLZVLLpdj/vz5uHbtGmQyGVq0aIGgoCD4+vrixIkTcHd3x/r16xEVFYWlS5eic+fOaNWqFX766ScMGTIEWVlZuHjxIgYNGoQhQ4Zg3bp1uHbtGgICAjBo0CBcuHABc+fOxZMnT/D+++/j4MGDKCoqwrfffovQ0FCcO3cO7dq1w+LFi6VMUVFR0nZwdHTE/PnzYWtriylTpgAAZs+eDUtLSyxatAgBAQEvbY9GjRohOTkZbm5u+M9//oOEhAQEBwejTp062Llzp073OxFVzFDr4/bt27Fz507k5+fD29sbn3zyCVatWlXmc2RlZSEsLAwymQxyuRyzZ89Gly5dAECqeWfOnIGZmRkcHBzw6aef4vDhw4iLi4OlpSXi4+MxfPhwvPvuu/jyyy9x5coVmJubo0GDBliwYAFsbW1V2pYREREICwtD/fr1MXToUOn6zMxMTJ8+HefPn8fVq1c1Wpu//PJL7N69G15eXrhx4wauXr2KIUOGYPbs2QCAs2fP4ptvvoG5uTmEEJg0aRL69++PCRMm4OTJkzh06BCaNm2KwsJCLF++HOfOnQMAdOrUCbNnz4a5uTn8/Pxw9OhRfPLJJ0hISMBff/2FDz/8EOPHj6/Sa490QBCVo1+/fuLs2bNCCCHCwsJE27ZtxcWLF4UQQoSGhkr/DgwMFP7+/kIIIXJzc8WwYcNEZGSk9DitWrUSq1atEkIIsWvXLhEfHy+6d+8u8vPzhRBCbN68WURERAghhIiIiBBeXl5KM8XGxorJkydLl319fUVKSoooKCgQ3bt3F3/88Yf0t2nTpgm5XC6EEMLf31+MGjVK5Ofni4yMDOHi4iLWrFkjhBDiwIEDYsiQIdL9Tp48KVxcXMS5c+eEEEJ89NFHYtSoUSIrK0vk5+eLHj16SH87c+aM6N69u8jIyBBCCLFo0SLx+eeflxp7SkpKqTG8uD0uXbokPDw8xK5du6TbzJw5U2RnZyvdDkSkX4ZYH4UQYuXKldLzKXuOS5cuiaioKPHw4UMhhBApKSmiX79+0u3Xrl0rPvzwQ1FUVCSEEGL+/PlSBn9/f7Fy5cpSj7958+ZSz79ixQrpclm3L3Ht2jXh6uoqkpOThRBCbNu2rVTNTElJEa1atZJur8na7OXlJaZOnSrkcrlITU0V7dq1E/fv3xdCCDFmzBiRkJAghBAiMTGx1PZ8Pt/q1avFhAkTRFFRkSgqKhKTJk0Sq1evlm7bv39/MW/ePCGEEOfPnxdubm6isLCwzG1BhoNrjqlcffv2RWxsLADg4sWLGDx4MI4ePQoA+PPPP+Hi4gK5XI6YmBiMGTMGAGBlZYV33nnnpRnPQYMGAQA8PDzQoUMHAM/+V5+bm4vx48dj2LBhKmWqXbs2rl27hmPHjkEul2P58uVwcnKCubk5hg4diqioKClf69atYWJiIt23e/fusLCwgL29Pezt7dGmTRsAZa8LtrGxgZubGwDg9ddfR5MmTWBnZwcLCwu0bNkSKSkpAIDIyEgMGDAA9vb20vhiYmIghCh3HM9vDxcXF4wYMULKnpmZCUtLS9jY2Ki0TYhI9wyxPpbnxZrTpk0bBAYGwtPTE4GBgbh37x4yMjIAPFvbPGLECMhkMgDAtGnT0K1bN6WPbWVlhffffx9eXl7Ys2cPLl++rFKmAwcOwM3NDc2aNQMAlU5202Rt7t27N0xMTNCwYUPUrVtXOnmxTp06iI6ORnp6Otq0aYN58+aVmSU6OhojR46ETCaDTCbDiBEjXtq3JWuuW7dujZycHGkbk+Fic0zlcnd3x5EjR5CTkwNra2sMGDAAR48exePHj2FnZwcTExNkZmaioKBAKkAAYG9vj9TU1FKP9fxHbFZWVvjhhx8QHx+PgQMHIjg4GNnZ2Spl6tSpE7766its2LAB/fv3x6ZNm6RiN3LkSOzfvx8FBQWIjo7G8OHDS933+WbTzMxMuiyTyVBYWKjSbUsul9z+/v37OHnyJLy9veHt7Y2vvvoK9evXx8OHD8sdx4sfOXp4eODUqVN48OABYmJieEY0kYEzxPpYnhdrzkcffYSuXbvip59+kk6Ey83NBfCsrtWrV0+6raOjo9TAvujUqVNYtGgRlixZgh9++AE+Pj7Iy8tTKdODBw9KPU/dunUrvI8ma/Pz28TS0lK677Jly2BlZYVRo0Zh8uTJuHnzZplZXtxO5e1bS0tLAHjpvYYMD5tjKtebb76JW7duYefOnejZsyf69u2LP//8E9HR0ejbty+AZ8XAwsICmZmZ0v0yMzPh6Oio9HELCwvh4OCApUuX4sCBA3j8+HGpdWLlefLkCbp3747NmzcjPDwcUVFR0oyrq6srHBwc8Ntvv+HmzZt49dVXKz94FTVu3Bju7u4IDw9HeHg4fvrpJ+zYsaPUm6EqGjZsiDfeeAMxMTE4duwYevXqpaXERKQJhlgfVZWRkYE7d+5Is5ovNmyNGzcu1UQ+fPhQ6bfuXLhwAc7OzmjatCmAZ+uVVdWwYcNS26aiSQV1VKU2FxQUYM6cOThy5Ai6desGX19fpc/xfOaK9i0ZBzbHVC4rKyt0794d33//Pfr06YN69eqhffv2CA0NRc+ePQEApqamGDlypPRRUl5eHvbt24fRo0crfdzU1FTpRBI7Ozu0bdsWxcXFAJ7NCpTMXnzyyScvFdrffvsN27dvBwA0b94cjo6OkMvl0t9HjBiBkJAQnTWXo0aNkmaLAODGjRv46KOPpL9bW1sjLy8P0dHR2L9/f7mPNXLkSISFhcHZ2Vn6OJOIDJMh1kdV1a1bF7Vr18b58+cBAHFxcaX+PmrUKERHR0vPu2zZMly5cqVUhpycHPz73/9GixYtkJycLDWJ//vf/1TOMWTIECQkJEhLIXbv3l2p8ZSlotpcnhkzZiA3NxdmZmbo3LmztB3Keo5du3ahuLgYcrkcu3btKnffknHgt1VQhdzd3ZGfny99nY67uztOnz5d6qOsgIAALFy4EJ6eniguLsawYcMwYsQIAJC+wH327NmYNWsWevbsCXt7e9SpUweenp4wNTWFpaUlvv76awBAjx49sG7dOowbNw7t27eHmVnpl6mbmxsWLVqEw4cPIycnB61bt5aeC3jWHK9evbrUWc9hYWHSGdZt2rTBsWPHkJaWhoULF2LFihUICAiQsn7++edYuHAh0tLSEBwcjH79+iEyMhL5+fn48ccfkZmZicTERKSlpaFx48bo2bMn/vWvf2Hq1KmwsrKCubk5Fi1aJD33+PHjMWvWLNja2mLlypVlbo8SgwcPxrx580qNh4gMl6HVx+3bt0v1asKECdiyZUuZzyGTyRASEoKQkBDs378f7du3l24TGhqKyZMnIzs7G++//z5MTU3RvXt3ac3ysGHDEBgYiPj4eEyYMAGDBg3C0aNH8d5776F169awtrZGYmIilixZAmtra6n2NmrUCO+++26pvK+//jrmzZuH6dOnw8HBAQMGDJByrFixQvr2CG9vbwQHB2usNi9ZskS6rbOzM6Kjo6X3hGXLlmHgwIGYOHEizM3NkZeXJ83cT5gwQcq3atUqTJ48GU+ePJG+gaJTp07w8fEBAMyZM0d6zNWrV0uPUbKNVVlCQvphIio6a4jIyGRlZeHzzz/H6tWr9R1FbXK5HJMmTcLmzZv1HYWIiKhG4swxVRtHjx5Fhw4dsH//fqM7me38+fOoXbs2kpOTudaYiIhIj9gcU7WRnJyMkJAQtGzZ0uhmjdPS0vDpp5+iUaNG+P777/Udh4iIqMbisgoiIiIiIgV+WwURERERkYJWllWkpT3RxsNqVL161nj4MEffMbSupowTqDljrSnjBKrfWBs0sNPaY+ui7hry/mC2ymG2ymG2ytFHtsrU3Ro7c2xmVjO+Q7amjBOoOWOtKeMEatZYjYEh7w9mqxxmqxxmqxxDzvY8npBngPbc+LXM64e+8g8dJyEiMhysjUSkC2yOiYhIq9jUEpExYXOsYWW9CfANgIiIiMg4sDnWI2WzKURENQFnlInIENXYE/KIiIiIiF7E5piIiIiISIHNMRERERGRAtccGxGuzyMiIiLSLjbHOsAT74iItGfPjV9hnWqJnKf5pa7nxAERVQaXVRARERERKbA5JiIiIiJS4LKKSuJSCSIi7WB9JSJ94swxEREREZECZ46rAX6LBREREZFmsDmuAD/eIyIyTpw4IKLKYHNcjSn7eiNl+IZBRFXByQQiqg7YHFdjV5IfwtzcDIWFRaWub9O8np4SERERERk2npBHRERERKTA5piIiIiISIHLKkgSFXejzOtH9nlFx0mIiIiI9IPNsRG5kvywzOu5hpiIiIhIM9gcExGRQVF3IoAnHxORJrE5Jsn14tNK/sJlFURERFQzsDkmIqIaRd0fB+GPiRDVLPy2CiIiIiIiBc4cGyBl6+309ficNSEiIqKags2xAn/2VPv4VXFE1YOx1Et1T+zT5rhY/4iMB5tjHdD2V7Bpe6aZiMgQsNYRkS6wOSYiojK9OJNqnWqJnKf5ekqjOZpqsodqYNKXM8pEhofNsR5xFoSIyHgpa2xfZGNjqeUkRKRJbI4rib9Wp5yqbxhEVDOwXhKRMWFzTBVS9sZWeMewmuAfD1zB0xc+8uVHk0RERKSOatsc8+vHiIh0S92lYsa+tKysXxV9VdZN5duWd3si0p9q2xwrU9I0a+vEEmMv9urQVLHnCSlExqUm1Tl1lVUXzXON562W9ZioGjTHxvJ9mzWJsqZZGU010+qc9MI3AKKKvdgEm5ubobCwSE9pqidl9XJZbNnX/9t9bJnXK6tp5k3+LvP6wjuvAXhWN19cjkZU0xlcc2xoTQtnSKgyNHVSIpt10gWeRGs81N1Xyt7DXpVpIo32GVpPQDWDwTXHymcdNXMglBSKF2dAeNa04dHHGzYLMdVE6n7aQzXPstjtZV6v7id/ymppWbWXX4FH+mJwzbEy2l4+wRliw6OJNc3KCroyyh7bWGbWNNXcqzvesh7f2P+jYez5qXrS1LkeJY9jnmuGwuLKL5VRN4/y9/LX1Hreso5PZUtIjOVEfNYcw9kGJkIIodNnJCIiIiIyUKb6DkBEREREZCjYHBMRERERKbA5JiIiIiJSYHNMRERERKTA5piIiIiISIHNMRERERGRAptjIiIiIiIFo/kRkMo4fvw4fv31Vzg4OMDExAR+fn6l/h4aGor09HTUr18fly9fxowZM/Dqq6/qKW3VVDTWvXv34tChQ2jTpg0uXryIkSNHYsCAAXpKW3kVjbPErl278Nlnn+Hs2bOwsbHRcUrNqGisO3fuxM8//wxLy2e/IjVmzBiMHDlSD0mrpqJxCiEQHh4OALhz5w6ysrIQEhKij6jVVkX7ID8/H4sXL4ajoyNu3rwJHx8fODs7AwASEhJw7NgxmJqa4tSpUwgJCUHjxo0NIltISAjMzMwgl8uRl5eHuXPnwtRUc3NCqtSjvXv3Yvny5QgKCkL//v2l66Ojo5GYmAhTU1M0b94c48aN01iuqmS7cOECtmzZgnbt2iEpKQmurq547733DCJbiYyMDIwcORLTpk2Dl5eXwWTT97FQXjZ9Hwvl9VvaPhYqRVRTOTk5YtCgQSI/P18IIYSfn584fvx4qdusWLFCyOVyIYQQe/bsEdOmTdN5Tk1QZawRERHizp07QgghLl++LAYPHqzznFWlyjiFEOLvv/8Wy5cvF61atRLZ2dm6jqkRqu7TlJQUfcTTGFXGGRkZKSIjI6XLiYmJuoxY7amyD9avXy9CQ0OFEEJcuXJFeHp6CiGEePLkifDz85Nul5ycLJ4+fWoQ2RISEoSHh4d0Ow8PD3HmzBmdZktOThYnTpwQXl5e4vDhw9L19+7dE8OHD5fef0aPHi2SkpIMItvBgwfF+fPnhRBCFBQUiK5du4qMjAyDyCaEEMXFxSIoKEhMnz5dhIeHayxXVbMZwrGgLJshHAvK+i1tHwuVVW2XVSQkJMDJyQkWFhYAgM6dOyM2NrbUbWbOnAkTExMAgFwuh7W1ta5jaoQqYx09ejScnJwAALdu3TLKGXJVxpmbm4uNGzfi448/1kNCzVFlrACwbds2bNq0CatXr8ajR490G1IDVBlnTEwMHj16hK1bt2L58uVG+0mAoVJlH8TGxqJTp04AgNatW+PKlSvIzs7G0aNHYW1tjbCwMKxevRqXL1/WaB2tSra6desiJycHRUVFKCoqgomJCZo2barTbM2aNUOPHj1eum9cXBxcXFyk959OnTrh999/N4hsAwcOhKurq3RZJpPB3NzcILIBwIYNG/Duu++iTp06GsukiWyGcCwoy2YIx4Kyfkvbx0JlVdtlFRkZGaXeRG1tbZGRkVHmbQsKChAZGYl58+bpKp5GqTrWvLw8rFq1CvHx8Vi6dKkuI2qEKuNcsWIFfH19pYPUWKky1m7dusHd3R329vY4evQo/vWvf2HLli26jlolqozz7t27yM7Ohp+fH5KSkjBlyhTs3bsXMplM13GrJVX2gbLb3LlzB+fPn8fXX38NmUyGDz74AHXr1lXa2OgyW4sWLfDee+/hX//6F0xNTfHmm2/C3t5eI7lUzaZMZmZmqfva2NiofF9tZ3vetm3bMH36dNjZ2RlEtpMnT8LKygodO3bETz/9pLFMmshmCMeCMoZ0LLzYb2n7WKisajtz7ODggKdPn0qXs7Oz4eDg8NLtCgoK8OWXX2LWrFlo3ry5LiNqjKpjtbKywmeffYalS5figw8+QGFhoS5jVllF47x37x6ysrKwb98+hIaGAgDCwsJw8eJFnWetKlX2abNmzaQC16NHD5w+fRrFxcU6zVlVqozT1tYWHTt2BAA4OzsjOzsb9+7d02nO6kyVfaDsNra2tmjXrh3Mzc1hamoKNzc3nD592iCyHTp0CKdOncKaNWuwatUq3L59G7/88otOsyljb29f6r5Pnz5V+b7azlYiJiYGOTk5+PDDDzWWq6rZDh06hPz8fISGhuLatWs4duwYIiIiDCKbIRwLyhjKsVBWv6XtY6Gyqm1z7Obmhrt376KgoAAAcPbsWbi7u+PRo0fIzs4G8Gwmdd68eZg4cSLat2+PAwcO6DNypaky1k2bNkEIAQBo1KgRHj58iPz8fL1lroyKxtm4cWMsWrQIPj4+8PHxAQBMnDgRHTp00GfsSlFlny5btgxFRUUAgJs3b6Jp06ZGN5uqyjh79uyJlJQUAM+KbnFxMRo0aKC3zNWNKvvA3d0d586dAwBcvXoVbdq0ga2tLd544w3cuXNHeqy7d++iZcuWBpHt/v37pV4nDRo0kB5HV9mU6dOnDy5fvizV5HPnzqFv374GkQ0A/vvf/yIjIwO+vr64evUqkpKSDCJbUFCQVN9btWqFXr16YcyYMQaRzRCOBWUM4VhQ1m9p+1ioLBNRkqgaOnbsGA4cOIB69erB3Nwcfn5+WLJkCerWrQsfHx/4+fnhr7/+QsOGDQEAOTk5Gv1fqC5VNNa1a9ciNTUVTk5OuH79Ojp37oyxY8fqO7baKhon8Oxjmp9//hnfffcdfH19MW7cODg6Ouo5ufoqGuuWLVvw119/oWnTprh27Ro++OADuLm56Tu22ioa55MnT/DNN9/AyckJycnJGDJkCPr166fv2NVKRfsgLy8PixcvRoMGDZCcnIxp06ZJ3wixbds23LlzB+bm5sjLy4O/v79Gz4KvbLacnBwEBwejSZMmMDU1xe3btzF//nyNrgOtKJsQAmvXrsWOHTvQpUsXDB8+HH369AHw7Az9S5cuQSaToWXLlho/Q7+y2Q4ePAh/f3+0a9cOAPDo0SN88cUXeOONN/SercSOHTuwbds2ODo6wtPTU6P1oCrZ9H0sKMtmCMdCef2Wto+FyqjWzTERERERkTqq7bIKIiIiIiJ1sTkmIiIiIlJgc0xEREREpMDmmIiIiIhIgc0xEREREZECm2MiIiIiIgU2x0RERERECv8fPzYFJ/Dhe9gAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -997,9 +997,9 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -1149,7 +1149,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     34\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 36\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mscikitplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mskplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     37\u001b[0m \u001b[0my_pred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlogreg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_test_scaled\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     38\u001b[0m \u001b[0mskplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_confusion_matrix\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_pred\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnormalize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "Input \u001b[0;32mIn [8]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m     32\u001b[0m \u001b[38;5;28mprint\u001b[39m(accuracy)\n\u001b[1;32m     33\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTest set accuracy with Logistic Regression  and scaled data: \u001b[39m\u001b[38;5;132;01m{:.2f}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(logreg\u001b[38;5;241m.\u001b[39mscore(X_test_scaled,y_test)))\n\u001b[0;32m---> 36\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mscikitplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mskplt\u001b[39;00m\n\u001b[1;32m     37\u001b[0m y_pred \u001b[38;5;241m=\u001b[39m logreg\u001b[38;5;241m.\u001b[39mpredict(X_test_scaled)\n\u001b[1;32m     38\u001b[0m skplt\u001b[38;5;241m.\u001b[39mmetrics\u001b[38;5;241m.\u001b[39mplot_confusion_matrix(y_test, y_pred, normalize\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
       "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'scikitplot'"
      ]
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter4_13_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter4_13_0.png
index f3903fe23..c7e0a279a 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter4_13_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter4_13_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter4_13_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter4_13_1.png
index 20fa7e789..505614198 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter4_13_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter4_13_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter4_13_2.png b/doc/LectureNotes/_build/jupyter_execute/chapter4_13_2.png
index 6e50bbc94..ba64b6f5e 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter4_13_2.png and b/doc/LectureNotes/_build/jupyter_execute/chapter4_13_2.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter4_51_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter4_51_0.png
index 6d4c264e5..62296f1c5 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter4_51_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter4_51_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter4_51_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter4_51_1.png
index ef508fd2d..0895d8274 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter4_51_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter4_51_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter4_5_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter4_5_1.png
index e58ecca7e..6203309bc 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter4_5_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter4_5_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter4_7_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter4_7_0.png
index d0c25887d..7478e65cc 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter4_7_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter4_7_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter5.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter5.ipynb
index 26d306cfe..32b5d42df 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter5.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter5.ipynb
@@ -64,16 +64,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA68AAAF/CAYAAACmOf/vAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAADBUElEQVR4nOzdd3zN1xvA8c/NkFEkkiAICWJvatWuWaN2bWK0dheK+hVVtbqoWTOpXas2bewtofYoMRIxIySIRMb398dpbnIlIsm9keF5v173xT3fcc5XhDz3nPM8Ok3TNIQQQgghhBBCiAzMLL0HIIQQQgghhBBCvI4Er0IIIYQQQgghMjwJXoUQQgghhBBCZHgSvAohhBBCCCGEyPAkeBVCCCGEEEIIkeFJ8CqEEEIIIYQQIsOT4FUIIYQQQgghRIYnwasQQgghhBBCiAxPglchhBBCCCGEEBlehgted+/eTZ8+fShZsiTvvPMOBQoUoHXr1pw4cSJZ19+/fx8PDw+cnJywtbWlZs2a7Nq1K9Fzvb29qVmzJra2tjg5OeHh4cH9+/dN+ThCCCGEEEIIIUwgwwWvc+fO5caNG3z22Wds27aNGTNmcP/+fWrUqMHu3buTvDYiIoKGDRuya9cuZsyYwcaNG8mbNy/NmjVj3759Bufu27ePDz74gLx587Jx40ZmzJiBt7c3DRs2JCIiIi0fUQghhBBCCCFECuk0TdPSexDx3b9/nzx58hi0PX36FHd3d8qWLYu3t/crr50zZw6DBw/m8OHD1KxZE4CoqCgqVKhA9uzZOXbsmP7catWq8ezZM06fPo2FhQUAhw8fplatWsyZM4eBAwemwdMJIYQQQgghhEiNDDfz+nLgCpA9e3ZKly5NQEBAktdu2LCBEiVK6ANXAAsLC7p3787x48cJDAwEIDAwEB8fH3r06KEPXAHee+89ihcvzoYNG0z0NEIIIYQQQgghTCHDBa+JCQkJ4eTJk5QpUybJ886dO0f58uUTtMe2nT9/Xn9e/PaXz409LoQQQgghhBAiY7B4/Snpb/DgwTx79owxY8Yked7Dhw9xcHBI0B7b9vDhQ4NfX3Vu7PHEREREGOyJjYmJITg4GEdHR3Q63esfRgghhBBCCCGEnqZpPHnyhPz582Nm9ur51QwfvH7zzTcsX76cmTNnUqVKldeen1QA+fKxV52b1D0mT57Mt99++9pxCCGEEEIIIYRIvoCAAFxcXF55PEMHr99++y0TJ07k+++/Z8iQIa8939HRMdFZ0+DgYCBuptXR0RHglecmNiMba/To0Xz55Zf69yEhIRQqVIiAgABy5sz52jEKIYQQQgghhIgTGhpKwYIFyZEjR5LnZdjg9dtvv2X8+PGMHz+er7/+OlnXlCtXjrNnzyZoj20rW7aswa9nz56lefPmCc6NPZ4YKysrrKysErTnzJlTglchhBBCCCGESKXXbcPMkAmbvvvuO8aPH8///vc/xo0bl+zr2rZty6VLlwxK4kRFRbFs2TKqV69O/vz5AShQoADVqlVj2bJlREdH6889evQoly9fpl27dqZ7GCGEEEIIIYQQRstwdV5/+uknhg8fTrNmzRINXGvUqAFA37598fLyws/PD1dXV0AlU6pSpQqhoaFMmTKFPHnyMGfOHDZv3oy3tzf16tXT32fv3r00btyYVq1aMWjQIO7fv8+oUaOws7PD19c30dnVxISGhmJnZ0dISIjMvAohhBBCCCFECiU3pspwy4Y3b94MwI4dO9ixY0eC47GxdnR0NNHR0cSPva2srNi1axdfffUVQ4cOJSwsjIoVK7J9+3aDwBWgfv36bNu2jbFjx9KqVStsbW1p2bIlP/zwQ7IDVyGEEEIIIYQQb0aGm3nNbGTmVQghhBBCCCFSL7kxVYbc8yqEEEIIIYQQQsSX4ZYNCyGEyFoiIyMNkuMJ8TaztLTE3Nw8vYchhBCZkgSvQggh0kRoaChBQUFERESk91CEyDB0Oh12dnY4Ozu/tiSEEEIIQxK8CiGEMLnQ0FACAwPJnj07Tk5OWFpayg/q4q2naRrPnj3jwYMH2NjYYG9vn95DEkKITEWCVyGEECYXFBRE9uzZcXFxkaBViHhsbGyIiIjg/v372NnZyfeHEEKkgCRsEkIIYVKRkZFERETID+ZCvELOnDn1Jf+EEEIknwSvQgghTCr2B3JLS8t0HokQGZOFhVr4FhUVlc4jEUKIzEWCVyGEEGlCZl2FSJx8bwghROpI8CqEEEIIIYQQIsOT4NVUgoPTewRCCCGEEEIIkWVJ8GoqJUtC795w/DhoWnqPRgghhBBCCCGyFAleTSUiAjw9oXp1qFoVFi2CsLD0HpUQQogMzNPTE51Oh6enZ3oPRQghhMjwJHg1FW9v6NEDsmWDEyegXz8oUAA+/xwuX07v0QkhhHiDbty4gU6no1mzZuk9lDfm0KFDdOzYkQIFCpAtWzZy5cpFyZIl6dq1K15eXvrzatasiU6n4+jRo0ne79y5c+h0OsqXL5/g2L///svQoUMpU6YMOXPmxMrKikKFCtGhQwfWrVtHTEyMyZ9PCCFE+pPg1VSqVoXff4fAQJg2DQoXhsePYcYMtaS4USNYtw4iI9N7pEIIITKItm3bcvHiRdq2bZveQzGKp6cnderUYePGjVStWpXPPvuMbt26UaRIEbZt28aYMWP05/bt2xeAJUuWJHnPRYsWGZwf66effqJ06dLMnj0bR0dH+vTpw7Bhw6hXrx6HDh2iQ4cOfPzxxyZ+QiGEEBmBTtNkg6YxQkNDsbOzIyQkhJw5c8YdiImBv/6COXNg61b1HiB/fvjkE/j4Y/V7IYTIYsLDw7l+/TqFCxfG2to6vYeTLm7cuEHhwoVp2rQpO3bsSO/hpKmwsDCcnZ3R6XQcOnSIsmXLGhyPjIxk7969NG7cGIAnT56QL18+zM3NuXv3LjY2NgnuGRkZSYECBQgJCeH27ds4OjoCMH/+fPr374+bmxvr1q2jcuXKBtdFRUXh5eXFgQMHMvRSbPkeEUIIQ6+MqV4iM69pxcwMmjWDTZvg2jX4+mvIkwdu34bx46FQIejQAXbtkgRPQgjxlnrVnledTkf9+vV58OABffr0IU+ePNjY2FCjRg327t2b6L2ePHnCuHHjKFOmDDY2Ntjb29OsWTMOHjyY4NwTJ04wZMgQypYti52dHTY2NpQrV44pU6YQmcgKITc3N9zc3Hj8+DGffvopBQsWxMLCAk9PT86dO8eTJ09o0KBBgsAVwNLSUh+4AuTIkYOPPvqI0NBQ1q1bl+izbNq0iQcPHtCmTRt94BoSEsKIESPIli0bW7duTRC4AlhYWNC3b19+++23RO8rhBAic5Pg9U1wdYXvv4eAAFi5EurUgehotYy4USMoVQqmT4dHj9J7pEII8UY8e/aMZ8+eEX/xz4sXL3j27BkRERGJnht/H2NkZCTPnj0jPDw81eeGhYXx7NkzoqOj9W1RUVEmeT5TePz4MbVq1eLMmTN069aNdu3a4evrS9OmTTl37pzBucHBwdSsWZMJEybg6OjIwIEDad++Pb6+vjRo0IA///zT4PwFCxawYcMGypUrR//+/enbty+apjF69Gg6d+6c6HgiIiJ4//332b59O61atWLIkCHkzZsXBwcHAK5fv57svaaxS4EXL16c6PHYJcXxlwyvWbOG0NBQOnToQOnSpZO8v5WVVbLGIYQQIpPRhFFCQkI0QAsMDEnZhWfPatqgQZqWI4emqblXTbOx0bS+fTXN1zdtBiuEEG/A8+fPtQsXLmjPnz9/5TmABmj379/Xt02cOFEDtH79+hmca2trqwHa9evX9W2//PKLBmhdu3Y1ONfJyUkDtHPnzunb5s+frwFa69atDc51dXXVAO348eP6tmXLlqXkUV/p+vXrGqA1bdo0yfOWLFmiAdqSJUsM2mP/fAYNGqRFR0fr2xcuXKgBWv/+/Q3O79q1qwZoixcvNmi/e/euVrBgQS137twGX48bN25oUVFRBufGxMRoffr00QDt4MGDBsdi/6yaNGmihYWFJbiucuXKGqDVq1dPW7JkiXbhwoUE939ZiRIlNJ1OZ/B11TRNu337tmZubq4VKlTI4Nk9PDw0QFu4cGGS980MkvM9IoQQb5PYmCokJOmYSmZeTaRUKfjiC7hyJZkXlC0Ls2erBE9z50K5cvD8uSqx8+67quSOp6dqE0II8dZ55513mDp1KmZmcf9V9+rVCwsLC3x8fPRtQUFBrF69moYNG9K7d2+De+TNm5cRI0bw4MEDvL299e2urq6Ym5sbnKvT6Rg8eDCAwbnx/fDDDwn2qOp0OtasWUPNmjXZt28fvXv3pnTp0uTMmZNGjRrh6elpMLsdq0+fPmialiBxk5eXF9HR0fTu3dvg2e/evQuAi4tLomMTQgiR9UnCJiPFbi6GEEBtLv7gAxgyRG15NUvuxwOaBocOqUB2zZq4rMS5ckGfPjBgALi7p8UjCCGESSUnGc2zZ88AsLW1RafTAWrZcGRkJBYWFgbLPmPPtbGx0QczkZGRvHjxAnNzc4M+UnJuWFgYmqZhbW2tD+SioqKwsLAw+s8guQmbPD096d27N0uWLMHDw0PfrtPpqFixIv/880+Ca1xcXLCyssLPzw+A7du307x5c2rVqkWjRo0SnH/lyhVWrFjBDz/8wPDhwwH1Zz1r1ixWrVrFpUuXePr0qcES7k8++cRg36ibmxv37t0jLCxM//VKzKlTp/D29sbHx4fDhw9z69YtABo0aMD27dsNvq737t3DxcWFAgUKcP36df19S5Ysyb///su1a9dwc3PTn//BBx+wY8cOduzYQdOmTV85hsxAEjYJYXr+/hAU9OrjTk4q5YzImJKbsMn4/6EFoMq7vnihfr99u3oVLQqDB0Pv3mBv/5ob6HRQu7Z6/fILLF4M8+bBzZvw00/q1aQJDBwILVuCCX64EkKI9PLOO+8kaMuWLRvZsmVL1rmWlpZYWloada6trW2CNlMErqaiPhhNyMLCwmAmMzg4GFB1Vg8dOvTK+8UG9gAdOnRg8+bNFC9enE6dOpEnTx4sLS15/PgxM2bMSLDvGCBPnjxJBq4AFStWpGLFivr3e/fupXv37uzZs4c5c+bwxRdf6I/lzZuXFi1asHHjRnbv3k3Dhg05ePAgly9fplGjRgaBK4CzszMAgYGBSY5BCPH28feHEiXgpdQGBqyt4fJlCWAzO1k2bCKXLsHUqSo3Uyw/P/jySyhQAM6eTcHN8uSBUaPUDTZvhubNVXD711/Qtq2qITtxIvy3hEoIIcTbK/YT6mHDhqFp2itf48aNA8DHx4fNmzfTtGlTLly4wIIFC/j+++8ZP378K5M1Aa8NXBNTv359vvvuOwB2796d4PjLiZsSS9QUq1atWgDs2rUrxeMQQmRtQUFJB66gjic1MysyBwleTcTREb76SsWbf/6pkgjHypsXXpMYMXHm5mqWdetWdeORI9Wah1u34JtvoGBB6NQJ9u2TcjtCCPGWqlq1KjqdjiNHjiTr/Njlxi1atEiw7/XAgQMmH19is+GxmjdvTr58+diwYQOBgYH88ccf5MqVi7Zt2yY4t0OHDuTMmZN169Zx6dKlJPtMbOZYCCFE5ifBq4mZm0Pr1vD333Dhgtr7Ony4ao+vd281eXr/fjJvXLgwTJmiAtdly+C99yAqCv74A+rXVwmgZs2CkBBTP5IQQogMzNnZmY8++ojDhw/zww8/kFgqi2PHjhEWFgaoZE1Agvqv58+fZ/LkySnu//r168yaNYsnT54kOPbs2TNmzJgBQO3atRMcNzc3p1evXjx//pxOnTrx9OlTunfvnmipG3t7e3744QciIiJo0aIFp06dSnBOdHQ0Xl5eDBgwIMXPIYQQIuPLOJt7sqBSpWDmzITtly+rRMIA330HH32kgtzq1ZNxUysr6NZNvU6fVgmeli1TkfLQoWq5cbduam9svH1HQggh3ryzZ88aJGKKr3LlykkmpUiJOXPmcPnyZb766iuWLl1KzZo1sbOzIyAggBMnTnDlyhXu3LmDra0t1apVo1q1avzxxx/cuXOHGjVq4O/vz6ZNm2jRogVr165NUd8hISEMHTqUESNGUKdOHcqUKYONjQ2BgYFs2bKF4OBgqlSpwtChQxO9vk+fPkyZMkW/X7dPnz6v7OuTTz4hNDSUUaNGUblyZerWrUulSpX0/e3atYvAwED69euXomcQQgiRSaRdtZ7UCQ0N1UaMGKE1btxYX69v3Lhxybq2Xr16+tp4ib3u3Lnz2nNfV5PvZcmtSRTfb79pmk4XV9419lW1qqZ5eWlaisu+PX6sabNmaVrp0oY3rFlT05YuTcUNhRAi9aSGZVyd16RerVu3TrLOa7169RK9t6urq+bq6pqgPSwsTJs2bZpWpUoV7Z133tFsbGy0woULa23atNF+//13LTIyUn/u/fv3tT59+mj58+fXrK2ttXLlymmzZ8/Wrl27pgFar169ktWnpmlaeHi4tm7dOu2TTz7RKlSooDk5OWnm5uZarly5tNq1a2s///zza/8u1K1bVwO0ypUrJ3lerMuXL2tDhgzRSpcurWXPnl2ztLTUChQooLVp00Zbu3atFhMTk6z7pBf5HhHCtE6cSPhzdWKvEyfSe6TiVZIbU2W4Ujk3btygYsWKVKhQgeLFi7Nw4ULGjRvH+PHjX3vthQsXCA0NNWgLCwujWbNmVKlSxWA/UP369QkICGD58uUG59vb21OyZMlkjze5aZ1fduOGmjRduBD+SxSp5+QEH3+sJk8LFkz2LdX35YEDMGcOrFunlhWD2pDbty/07w9FiqTghkIIkXJSBkSIpMn3iBCmdfIkVKny+vNOnIDKldN+PCLlMm2pHFdXVx49eoROpyMoKIiFCxcm+9rSiWRF8vLyIjIyMtElRDY2NtSoUcOo8aaWm5vKTjx+PKxapZYXx5bzCwqCyZPh6FFIJDnjq+l0ULeuet29C4sWwW+/QUAATJsGP/ygis8OHKgyGL+8EVcIIYQQQgghMqgMl7BJp9OlKh3/qyxatIjs2bPTqVMnk93TlGxsVPKmEyfg0CHo0iWuhOvgwYbnxsTA06fJvLGzM4wZA9euqfTHTZuqmdnt2+HDD1UR2smTU5AxSgghhBBCiIzHyUnVcU2KtbU6T2RuGS54NaUrV65w4MABOnfuTPbs2RMc9/Pzw8HBAQsLC4oWLcqYMWN4/vx5OoxUTZq+9x6sWKEKLU+dqrIWx+ftrWrGfv45/PtvMm9sYaFutGMHXLmiUh87OMDNm/D11+DiAl27quXGGWsFuRBCCCGEEK9VqJBKiHrixKtfly+r80TmluGWDZvSokWLgMSLndeuXZtOnTpRsmRJnj9/zvbt25k2bRoHDx5kz549mJklHtdHREQY1I97eY+tKeTLp2rGvmzWLAgNhRkz1KtZM5Wl+IMP4BXDNeTurpYOT5igSuzMnQvHjsHKlepVtiwMGgTdu0OOHCZ/LiGEEEIIIdJCoUISnL4NsuzMa1RUFF5eXpQpUybRfa0TJ05k4MCBNGjQgObNmzNz5kymTJnC/v372bhx4yvvO3nyZOzs7PSvginKqJR6MTEqqI2/JGLHDmjZEooVg59/hkePknkzGxvo1Uttqj1xAvr1U23nzqngNX9+9evZs2nyLEIIIYQQQgiRUlk2eN22bRt3795NUa237t27A3D06NFXnjN69GhCQkL0r4CAAKPHmhxmZir3UmCgmjx1c4s7du0aDBumlhR/8ol6n2yVK8OCBXD7NkyfDiVKqI21c+dC+fJQp46alY032yyEEEIIIYQQb1qWDV4XLVpEtmzZ6NGjR4qvfdWSYQArKyty5sxp8HqTHBzUttWrV2HTJmjSJO7Y8+cqDn38OBU3treHzz6Dixdh1y7o0EFlIz54UO2JLVhQ7ZG9edNETyKEEEIIIYQQyZclg9e7d++ybds22rRpg6OjY7Kv8/LyAki38jkpYW4OrVrBzp0q3hw6VG1Tfe+9hPWrTpxQlXOSRaeD99+HNWtU5qhvv1XLiB88UNmJCxdWHW/frtYyCyGEEEII8Rbz91e1Zl/18vdP7xFmHRkyYdP27dt59uwZT548AeDChQusXbsWgObNm2Nra0vfvn3x8vLCz88PV1dXg+u9vLyIiop65ZLhAwcO8P3339O2bVuKFClCeHg427dvZ/78+bz//vu0atUqbR/QxEqWhF9/he+/hzt3DI9pmtre+u+/8NFHKsFT9eoqRn2t/Plh7FgYPRo2b1ZLib29YcsW9SpcGAYMgD59JPe4EEIIIYR46/j7q1134eGvPsfaWrIdm4pO0zJefRQ3NzduvmJ56vXr13Fzc8PDwwMvLy/9+/hKlCjBixcvuHbtWqI1Y69evcpnn33G6dOnCQoKQqfTUaxYMTp37sywYcOwsrJK9lhDQ0Oxs7Njx44dNGrUCHNz8xQ9a1rbuxcaNDBsq1JFzdR26vT6mlgJXL4M8+aBp2fc+uRs2VRkPGgQ1KiRzMhYCJFVhYeHc/36dQoXLox1iv+RESLrk+8RIbKOkyfVz9avc+JEwtWRIk5sTBUSEpLktswMGbxmJrF/0ACurq5cvnw5RcFvWgsMVCV2FiyAhw8Njzk6wscfw8CBqfgkKCwMVq2COXPUd2OsChVUENu1KyRSW1cIkfXJD+ZCJE2+R4TIOiR4NY3kBq9Zcs9resiVKxcVK1Y0CFx37tzJw5cjxjesQAG1VTUgAJYsMfymefgQpkxRq387d1ZLjJPN1lYtF/b1hePHoXdvNY17+jT07686HjoULlww+TMJIYQQQggh3j4SvJrI5cuXmTt3rv59SEgIbdq0IV++fPj5+aXjyBQbG/DwULHm4cNqYtTSUh2LiQELCyNW+1atCosXq2nen34Cd3cIDVVTvmXKQP368Mcf8OKFiZ5GCCGEEEII8baR4NVErKysyJcvn/79rVu3KFWqFMWKFaNIkSL69h07dvDPP/+QXqu1dTqoWROWL49LJpwvn0rkFN/z5zBihNrimmwODvDll+qiv/6CNm1Ugdp9+9QG20KF4Jtv1DSwEEJkYWFhYUyaNInKlSuTPXt2rK2tcXFxoU6dOowePRo/Pz927tyJTqejWbNmr71f+/bt0el0rF+/3qA9KiqKJUuW0Lx5c5ydncmWLRt2dnZUrVqV//3vf6/MHyGEEEJkRrLn1UivW5/96NEjcuXKBUBMTAxFixblxo0b/Pnnn7Ru3fpNDzdRkZEJZ14XL4a+fdXvmzRRK4A/+ECV6EmRgAC14XbBgrh6PWZmqtzOoEHQqJF6L4TIMt72/XxPnjyhdu3anDlzBnd3dxo2bIi9vT0BAQGcP3+e06dPs2DBAvr06UPhwoW5desWN2/exMXFJdH7BQUFkT9/fuzt7QkMDMTyv2UzN2/epHXr1pw+fZq8efPSuHFjChYsyLNnzzh58iRHjhzBwsKCc+fO4e7u/ib/CMRrvO3fI0JkJbLn1TSSu+c1Q5bKyUpiA1dQX5Rq1aoRFhZG48aN9e179+7l/v37fPjhh+nyn1js8uH4Fi2K+/1ff6lX4cIq3uzTR02yJkvBgjBhgppx/fNPVW5nzx7YuFG93N1VuR0PD5VBSgghMrnp06dz5swZ+vbty4IFCxJkvb9+/ToRERGYmZnh4eHBhAkT8PLyYsyYMYneb+nSpURGRtKzZ0994PrkyROaNm3K5cuXGTFiBBMmTEjw/8fVq1f58ssvefr0ado8qBBCCPGGyZTXG2Rvb8/q1avx9/fH1tZW3z5p0iQ6derEjz/+mI6jM7R5M/z4owpYY12/rpYSu7ioLMWnT6fghpaW0LEj7N4N58+rqdycOeHqVRg+XN3Uw0Mlf5LFAEKITOzIkSMADBkyJNFybYULF6ZkyZIA9O7dG51Oh6en5yvvt2TJEgD69Omjb/vxxx+5fPky3bt3Z9q0aYl+8Onu7s6mTZsoXbq0MY8jhBAiCU5Ory89aW2tzhPGk+A1HcTPSKxpGjVq1KBQoUJ07dpV33769GkmTZqEv79/egwRBwcYNgyuXFGBbNOmcceeP4eFC6FiRfjtt1TcvHRp+PVXuH0b5s9XNwoPBy8vqF4d3n1XTf2GhZnoaYQQ4s1x+G9pytWrV197rpubGw0bNuTq1avs378/wXFfX1/Onj1LzZo1DYLQxYsXAzB27NjX9pEtW7bkDl0IIUQKFSqk0r2cOPHq1+XLqShLKRIlwWs60+l0TJgwgRs3bhgkdlqwYAFjxoxh9OjR6Tg6tce1ZUvYsUN94332mZowjT3WooURN3/nHTWFe/IkHDkCPXqAlZV636+fKrfz+ecpzBolhBDpq2PHjgD07duXUaNGsXv3bh49evTK8/v+l2AgdoY1vtggNfYcUHtdb926hYuLC8WKFTPl0IUQQqRCoUJqP+urXhK4mo4ErxnEy0vL6tWrR/369fHw8NC3PXjwgD59+rB37943O7j/FC8O06fDrVswZ46amX05v8h330G3bioWTfbqX50OatSA339XN582DYoUgcePYcYMKFkSGjaEdetUdikhRKb388/q34/XvT78MOG1H36YvGt//tnwuidPUnddSrVu3Zpp06YRExPD1KlTadiwIQ4ODri7uzNkyBCuXLlicH7btm3JlSsXa9asMdifGh4ezsqVK3nnnXfo1KmTvv3uf8nvXpXgSQghhMiqJGFTBtWxY0f9p/exVqxYwZIlSzh37hzHjx9Pp5FBjhwwcGDC9ogIVdr1/n1YsUJ90jR0qKqSY2OTzJs7OamNtcOGqSxRc+bA1q1qr+zu3aquzyefqBnbAgVM+lxCiDcnNFSVhn6dggUTtj14kLxrQ0MN32ta6q5LjREjRjBgwAB27NjB4cOH8fX15dixY8yePZtFixaxevVqPvwvMreysqJbt27MmjWLP/74Q7+3df369Tx+/JjevXuTPXt24wclhBBCZHIy85qJ1KlTh379+jEwXuQYFRVFmzZtWLBgAREREek4Orh0CWJi4t6fPAm9e6sfPkeNghSVGzQzg2bNYNMmuHYNvv4a8uSBO3dUcVpXV2jfHnbtkgRPQmRCOXOqz59e98qdO+G1uXMn79qXM+3rdKm7LrVy5MhBx44d+eWXXzhw4AAPHjxg0KBBhIeH07dvX168eKE/N7Glw4ktGQZwdnYGIDA5kbgQQgiRhUidVyMltyZRWtm2bRstWrTAycmJwMDAdE/MER4Oq1fDzJlqg3p8ZmZqud+QIfD++4Z1ZZPlxQtYv16V24mf2KRECVVup1cviFeaSAiRPqSG5atpmkbhwoW5efMmvr6+VIlXHLBKlSqcPHmSy5cvY21tjZubG8WLF+fSpUsJ7uPi4kJgYCD//vuv7HvNhOR7RGRk/v4QFPTq405OabeHMz37Tk9v63PHJ3Ve3xKVK1dm6tSpmJmZGQSuHTt2pHDhwnz55Zf6T+nfBGtrFUP27AnHjqllxH/8obaqxsSoUq/796utrcleShwrWzbo3Fm9zp1TQezSpSqh0xdfqNnZLl1UMdrkVIsWQog3TKfTGZRKi69v376cPHkST09PrKys0DQtwaxr/HMnTJjAxIkT8fLySrLPFy9epPsHm0KIzMHfX80JhIe/+hxr67TJnpuefaent/W5U0uWDWdyzs7OfPXVVwwfPlzfduXKFdauXctPP/1E/In1NznJHpuDadkyCAhQiZzy51fH+vVLGLjeu5fCDsqWhdmz1Qa2uXOhXDlVw2fxYlVqp3p18PRUbUII8Qb99ttv+Pj4JHps/fr1XLp0CXt7e8qWLWtwrGvXrlhbW/P777/j6emJhYUFPXv2TPQ+w4cPp0SJEvz+++98/fXXiW4buX79Om3atOHChQvGP5QQ4q0QFJR0EAXqeFKzhJmx7/T0tj53asnMaxZUqFAh1q9fz7lz58iXL5++fcCAATx48IBvvvmGSpUqvbHx5M0L//sfjBypZl6rVzc8fu+e+iSpXj21pLhFC1WGJ1ly5FBLhvv3h8OHVYKnNWvg+HH1+vJLtfF2wACQpXVCiDdg+/btDBgwAHd3d2rVqkX+/Pl5+vQpp06d4sCBA5iZmTFnzhyDmt8A9vb2tG/fnuXLlwPQpk0b8ubNm2gfOXLkYOfOnbRu3ZrJkyezZMkSmjRpgouLC2FhYfzzzz8cOnQICwsLfvzxxzR/ZiGEEOJNkD2vRkrvPa/JFRYWRp48eXj27BkHDx6kVq1agEr4ZG5unqBUz5s0cSJ8803cezc3tfK3Tx9wdEzFDe/fVzOw8+YZZolq0kSlSW7ZEizkcxsh0srbvp/v8uXLbNq0ib///purV69y584dAAoUKEDt2rUZOnSowV7X+Pbs2cP7778PwKZNm2jVqlWSfUVGRrJs2TL++OMP/vnnH4KDg7G2tqZYsWI0bdqUgQMHUjCxlM0iXb3t3yMi4zp5Mnk7r06cUFUlskrf6eltfe6XJTemkuDVSJkleAU4e/YsGzduZMyYMfpgddKkSaxcuZKxY8cmKM3zpixZogLYa9cM262tVc3YIUOgYsVU3Dg6GnbsULOx27fHZSV2cVHldvr1U6V3hBAmJT+YC5E0+R4RGZUEr2/e2/rcL0tuTCV7Xt8i5cqV43//+5/BLOvq1as5d+4cT58+1bdFRkYS/rrF9ybUuzdcuQJbtqjqOLHCw2HRIqhUCWrXhp07U3hjc3O1BnnrVvDzU+uWnZxUtqixY9Va5Y8+gr17pdyOEEIIIYQQGZwEr2+5vXv3Mm/ePDp06KBv27hxI87OzowbN+6NjcPMTMWZ27fDv//CZ58Z1lo8dAiuXzeig8KFYcoUFbguWwbvvQdRUWp/bIMGUKaMqu8TEmL0swghhBBCCCFMT4LXt1yuXLno378/OXLk0Ldt2bKFkJAQIiMjDc69ffv2GxlTsWIwfXpcIuEyZcDODrp3NzzvyhUV1KZo0tTKSq1FPnQITp1SiZ7eeQcuXoRPP1Upkfv3V8eEEEIIIYQQGYYEryKBxYsXs2vXLvr3769vO336NC4uLjRv3pyYmJg3Mo7s2VWS4LNn1X6A7NkNj0+erJYTV6mi8jOluCpOhQoqqdPt26ogbenSEBYG8+ertcrvvafqyL7BJdRCCCGEEOnFyUnlHEmKtbU6Lyv1nZ7e1udOLUnYZKTMlLDJGLNmzWLo0KG0b9+etWvX6tvPnz9PqVKlMDN7s5+DPHwIBQpA/NKGDg4qB9PAgSpjcYppGhw4oBI8rVunlhWDSnncp4+KpIsUMcXwhcjSJBmNEEmT7xGRkfn7J11T1MlJpQ3Jan2np7f1ueOTbMNvyNsSvALcvHmT8PBwSpQoAcCjR49wdnYmX758+Pj4kDt37jc2logIWL1abVP19TU8ptNBq1YwdCg0bKjep9jduypb1G+/QUBA3I2bNVPRcfPmKShGK8TbRX4wFyJp8j0ihBCGJNuwMDlXV1d94Apw5swZrK2tsbOzwyneWgZfX19C0jjxkZUV9OwJPj5w7JjaD5stmzqmabBpEzRurFYCBwamogNnZxgzRtXv2bgRmjZVN96+HT78EIoWhUmT4N49kz6XEEIIIYQQInESvIpUq1evHnfv3mXNmjX68jsxMTG0a9cOZ2dnjhw58kbGUa2a2prq76/qxRYoEHcsJsbIUq4WFipY3bFDZYgaPlytT755UwW3BQtC165qubEsYhBCCCGEECLNSPAqjGJjY0Px4sX172/fvk2OHDmwtramUqVK+nZfX1/Onz+fpmPJm1fFk9evqwo49erB4MGqDE98X32lJlOjo1PYgbs7/PCDKrfj5QXVq0NkJKxcCXXrQvnyar9saKjJnkkIIYQQQgihZLjg9cmTJ3z11Vc0adKE3Llzo9PpGD9+fLKu9fT0RKfTJfq6e/dugvO9vb2pWbMmtra2ODk54eHhwf379038RG8XFxcXzp07p19SHOurr76ibNmyzJ8/P83HYGkJHTrA3r1q32t8586p+LNNG7Xyd9o0lfwpRWxs1Jrlo0fhxAmVJcrGRt188GA19TtokEqTLIQQQgghhDAJi/QewMsePnzI/PnzqVChAm3atGHhwoUpvseSJUsoWbKkQZujo6PB+3379vHBBx/QokULNm7cyP379xk5ciQNGzbE19cXKysro57jbabT6ShYsKD+fVRUFPb29mTLlo1mzZrp28+fP8/Vq1dp3rw5lpaWaTQWw/crVsT9/uZNGDkSxo2DLl1UoBtvsjh5KleGBQtURPz772rm9fJlVaB27lxVy2fQIGjXTm3UFUIIIUSWl5mzx06Zoj6bf5UqVWDUqMSPGfvc6fnnduSISnXyKkWKQM2aadO3SAEtg4mJidFiYmI0TdO0Bw8eaIA2bty4ZF27ZMkSDdB8fHxee27VqlW10qVLa5GRkfq2Q4cOaYA2Z86cZI83JCREA7SQkJBkX/O2evz4scH7Tz75RAO0AQMGvLExREdr2tatmvbBB5qmNqkavt57T9NWrNC0iIhUdhATo2m7d2tahw6aZm4ed+PcuTVt9GhNu37dlI8jRIb0/Plz7cKFC9rz58/TeyhCZEjyPZK13bypadbWif+cEfuytlbnZTSTJyc97tjX5MkJrzX2udPzz+3w4eQ99+HDpu9bKMmNqTLcsuHYZb5pKTAwEB8fH3r06IGFRdzk83vvvUfx4sXZsGFDmvb/trKzszN47+LigrOzMx07dtS33b17lx9//JE7d+6kyRjMzFSVm23bVP6lL76A+MM6fFjlX+rZM5Ud6HTQoIHadOvvD99+C/nzw4MHMHmy+tiuVSs1gBRvuhVCCCFERhcUBOHhSZ8THp70DGN6SWrG9XXnGfvc6fnnltSMa2rOE2knwwWvptCyZUvMzc1xcHCgXbt2nDt3zuB47Pvy5csnuLZ8+fIJzhdp45tvviEgIID69evr25YvX86IESMMAtq04u4OP/+s8i/Nmwdly8Yd69bN8NzYz9xSJH9+GDtWrU9evx4aNVI32bIFWrSAYsXUptuM+L+XEEIk4saNG+h0Ojw8PNJ7KAbGjx+PTqdj7969CY798ssvlCpVChsbG3Q6HZ6enhn2OYQQQiQtSwWvzs7OjBkzhoULF7Jnzx6+++47fHx8qFGjBqdPn9af9/C/DD0ODg4J7uHg4KA/npiIiAhCQ0MNXiL1LCwsMIuXDrhIkSLUrFmTHj166NsiIyP5/PPPOXLkCFoalKPJnh3694czZ1SSpwED1OxsfFu3qu2tixZBWFgKO7CwgLZt4e+/1X7YL74Ae3uVFnnkSJXgqUcPNe0r5XaEyBLCwsKYNGkSlStXJnv27FhbW+Pi4kKdOnUYPXo0fn5+Ca55/PgxU6dOpW7duuTOnRtLS0vs7OyoUqUKn3/+OScSmerw8PAwSE5oYWFBrly5KF26NN26dWPt2rW8ePEiybE+evSIiRMnUrNmTRwdHbG0tCR37tw0atSImTNn8vTpU5P9ubxpK1as4Msvv8TW1pYvvviCcePGUbFixfQelhBCiFTKcAmbjNGsWTODhEB169alRYsWlCtXjrFjx7Jx40aD81+1PDmpZcuTJ0/m22+/Nc2ARQJt27albdu2BkHq9u3bmTFjBqtWreLWrVsGS71NSadT5XXq1Ut4bNYsOHVKJRYeMQL69lV5mAoXTmEnxYur6d6JE2H1apXgydcXli1TrwoVYOBANfWbPbspHksI8YY9efKE2rVrc+bMGdzd3enevTv29vYEBARw/vx5pkyZQtGiRSlatKj+mt27d9OpUyeCgoIoXrw4rVu3Jm/evDx9+pRz584xb948ZsyYwdy5cxkwYECCPvv27YuLiwuaphEaGsq///7L5s2bWbFiBaVKlWLVqlWJrjbatWsXH330EcHBwZQqVYqOHTvi6OjIw4cP2b9/P59++inTp09PNNjOSIYMGULnzp0p9FIml23btgGwdetWnJ2d9e2RkZFcvHgxwXYWIYQQGVuWCl4T4+bmRu3atTl69Ki+LTbzcGIzrMHBwYnOyMYaPXo0X375pf59aGioQWZdYRrxP0BwdXWlZ8+euLq6GgSuQ4YMoVq1anTs2BEbG5s0G0t4ODx+HPf+0SP48Uf46Sdo2RKGDFErgl+uJ5skW1vo3Vu9fHxUZuKVK+H0aTX1O2IE9OqlAtnSpU39SEKINDR9+nTOnDlD3759WbBgQYIPRK9fv05ERIT+/alTp2jZsiVmZmasWLGCLl26JLhnUFAQP//88ytX+/Tr148aNWoYtD158oSxY8cyffp0mjRpwsmTJ8mfP7/++OnTp2nVqhUAy5Yto9vL+yWAvXv3Mnr06OQ/fDpxcnLCyckpQfvt27cBDAJXAEtLywRVCYQQQmR8WWrZ8KtommawNLXsf5sbzyZSh/Ps2bP644mxsrIiZ86cBi+RtipUqICXlxcTJkzQt128eJHZs2fTt29fnjx5kqb9W1urkq7HjqlETtmyqXZNg82boWlTFV/OnAmpWkVetSosXgyBgSoiLlYMnjxR071lykD9+vDHH/CapX9CiIzhyJEjgPqALbGVPIULFzYInD799FOeP3/O3LlzEw1cQQVnkyZNMvjw9HVy5MjBL7/8Qu/evbl37x4TJ040OB7b78yZMxMNXAHq16+f6D7Sl504cYIhQ4ZQtmxZ7OzssLGxoVy5ckyZMoXIyMgE51+5coXevXtTuHBhrK2tcXJyonLlygwbNszgvDt37vDZZ59RrFgxbGxscHBwoFy5cgwaNMggkH95z2ts3fc9e/YAcckg3dzcgKT37j558oRx48ZRpkwZbGxssLe3p1mzZhw8eDDRPx+dTkdERARjx47F3d0dS0vLZNenF0IIkTJZPni9fv06hw4dMvhEukCBAlSrVo1ly5YRHS/j69GjR7l8+TLt2rVLj6GKFHB0dOS7775jwIAB5MmTR98+cuRIvvnmGwIDA03eZ7Vq4OWlEjxNmgTxJ9wvX4ZPP1W5mVLNwQG+/BIuXYK//lL7ZM3MYN8+6NRJFTb75hsICDD6WYQQaSd29c7Vq1dfe+6VK1c4cOAArq6urwwg40vNtolvvvkGgD/++EO/JePq1avs378fFxcXevfuneT1yal7vmDBAjZs2EC5cuXo378/ffv2RdM0Ro8eTefOnQ3OvX37NtWqVWP58uVUrFiRzz//nM6dO5M7d25mzpypPy8sLIxatWoxc+ZMihYtytChQ+nZsyeFCxfG09OT4ODgV46nYsWKjBs3DldXVwDGjRvHuHHj+Pzzz5N8juDgYGrWrMmECRNwdHRk4MCBtG/fHl9fXxo0aMCff/6Z6HXt2rVj8eLF1KtXj88//5wiRYq89s9MCCFEKqR50Z5U2LZtm7ZmzRpt8eLFGqB17NhRW7NmjbZmzRrt2bNnmqZpWp8+fTRzc3Ptxo0b+usaNmyoffvtt9qGDRu0Xbt2adOnT9fy58+v5ciRQzt79qxBH3v27NEsLCy0tm3ban///be2fPlyrWDBglrZsmW18PDwZI9V6rxmHCEhIZqNjY0GaEePHk3z/iIjNW3dOk1r0EDlIq5fP+E5166p81ItIEDTxo7VNGfnuCJjZmaa1rq1pu3cqQrXCpHBJFnDMiZG054+zfiv/+qNp8aff/6pAVrOnDm1kSNHart27dKCg4MTPdfLy0sDtJ49e6aqr169emmAduTIkSTPK1iwoAZofn5+mqZpmqenpwZo3bt3T1F/169f1wCtV69eBu03btzQoqKiDNpiYmK0Pn36aIB28OBBffuvv/6qAdqMGTMS3P/Bgwf632/atEkDtC+++CLBeaGhoVpEvILc48aN0wBtz549BufVq1dPS+xHnVc9R9euXTVAW7x4sUH73bt3tYIFC2q5c+c2+Hsde/+KFStqDx8+TNDPq0id16xN6rxKnVeRcsmNqTLknteBAwdyM94U1po1a1izZg2gZlLd3NyIjo4mOjraILFPuXLlWL16NT/++CPPnz8nT548vP/++3zzzTcUL17coI/69euzbds2xo4dS6tWrbC1taVly5b88MMPyfqUWWQ8VlZWLF68mF27dlGtWjV9+7Rp0zh58iRffPEF1atXN1l/FhbQrp16nT+fsDZZTAw0a6baBw5UyZ4S2ZKVNBcXVSv2f/+DP/9Ue2P37IGNG9WraFF1cw8P+G8vtxAZWlhY5khG9vQpvPNOqi5t3bo106ZNY8KECUydOpWpU6cCULRoUZo1a6ZfBguqtjVgsBc1VnBwML/++qtBm5OTE0OGDEnxmPLnz09AQABBQUEUKVJE36+Li0uK75WY2BnO+HQ6HYMHD2bx4sV4e3tTq1Ytg+OJ5SpIbN9qYuflyJHDiNEmLigoiNWrV9OwYcMEs9F58+ZlxIgRfPrpp3h7e9OyZUuD499++22S+TLE26VQIbUiK6lKeE5O6ryMZtQo9WtS9V6rVIk7Lz5jnzs9/9xq1lRFH5Kq41qkiDpPpK8MGbzeuHHjted4enri6elp0PbLL7+kqJ/GjRvTuHHjFF0jMi4rKys6d+5ssERN0zR+++03rl27RsuWLfXBq6ZpSWaVTqkyZRK2eXvDv/+q348eDePHQ5cuKsFTlSop7MDSEjp2VK+LF1VhWk9P8POD4cNhzBjo3FmlQK5aVaVOFkKkmxEjRjBgwAB27NjB4cOH8fX15dixY8yePZtFixaxevVqPvzwwyTLfwUHByfIbl+iRIlUBa9J9WMKL168YNasWaxatYpLly7x9OlTgz5jEyeBqsU+atQoBg8ezN9//02zZs2oXbt2gg+Z69ati7OzM5MnT+bUqVO0aNGC2rVrU65cOZP++x3Lx8eH6OhowsPDE92zeuXKFQAuXbqUIHiN/4GpEKACrIwYnCZHYoFpchn73On551azpgSnmUGGDF6FMKU//viDZcuW0bZtW33bqlWr+Omnn/jiiy+Stc8sNXLlghYtYNs2tdgkIkLFm56eUKOGCmI7doxLAJVspUrBjBlq4+2KFarczqlTakOul5cqSDtokIqUbW1N/2BCGMPWVs1qZnQm+N7JkSMHHTt2pGPHjgCEhITw9ddfM2fOHPr27UtgYCB58+YFSHSfvru7u0EAaEzAdufOHQBy584NxGXfNVV+gA4dOrB582aKFy9Op06dyJMnD5aWljx+/JgZM2YYZFcuXLgwR44c4dtvv2X79u36lVUlSpTgu+++0/952dnZceTIEcaNG8fmzZv1ZW9cXFwYPXo0gwYNMsnYY8XuoT106BCHDh165XnPnj1L0Bb7dRRCCJG2JHgVWZpOp6NKlSpUeWmqc9myZZw4cYLLly/r2zRNIyoqCktLS5P0XbUqbNkCV6+q1b6LF8eV3Dl6VL2GDVOJnr7+OhUdvPMOfPyxWo987JjqZPVqOHlStQ0bppYTDxgAUhJCZBQ6XaqX42Z2dnZ2zJo1i61bt3Lz5k3Onj3Le++9B8C+ffuIiYkxyIxvKteuXSMgIAAnJyd9tt3YJbx79+41ul8fHx82b95M06ZN2bp1K+bm5vpjR48eZcaMGQmuKV++POvWrSMyMpITJ06wfft2fv31Vzp16kT+/Pn143Nzc8PLy4vo6GjOnj3LX3/9xa+//srgwYPJlSvXK7Mzp0Zs9YBhw4bx448/pujatJgJFkIIkVCWzzYsRGI8PT2ZMWOGwb6m2BqII0eONGlf7u6qAs6tWzB/PpQrF3fs3j0V3BpFp1NTubGpkKdNUxszQkLUDG2pUtCwIaxbB4mUrBBCvDk6nQ7beLO6xYsXp1atWvj7+7Ns2bI06fO7774DoHPnzvogy93dnbp16xIQEICXl1eS18efNU2Mn58fAC1atDAIXAEOHDiQ5LWWlpbUqFGDb7/9ll9//RVN09iyZUuC88zNzalYsSJfffUVK1euBGDTpk1J3julqlatik6n05c6EkIIkfHIzKt4K+XOnZtPP/3UoO2PP/4gKCgIf39/g/aQkBDs7OyM7jP+ROnBg6ou7Pr1avlwfE+fqgnUVK36dXKCESPUrOtff6nZ2C1bYPdu9cqXDz75RA2kQAGjn0kIkdBvv/1G5cqVqVq1aoJj69ev59KlS9jb2+tris+YMYPatWszaNAgsmXLlqC0DKh/h1Iqtl6pp6cn+fLl4+uXlnj8+uuv1KxZkyFDhmBra0unTp0S3OPAgQOMGjUqyWW0scmaDh48yNChQ/Xt58+fZ/LkyQnO9/HxwdXV1aDMGcC9e/eAuARN586dI0eOHAmSQb18nqk4Ozvz0UcfsXr1an744QeGDx+eYEb12LFjlCtXzuADCJG2/P0zZ+Kj9HTkSPolHjL262XM2OXvyttBglch/vP9999Tv359g71LQUFBFCxYkPr167Nu3TqT/MCi00GdOup1/z689PMby5erlb7Dh0Pfvmr7aopLBpqZqVTHzZqpf83nz4cFC+DOHZW9eOJEaN1a3fz99yXBkxAmtH37dgYMGIC7uzu1atUif/78PH36lFOnTnHgwAHMzMyYM2eOPrN9lSpV2LRpE507d6ZLly6MGzeOunXrkidPHp48ecLNmzf566+/AKhdu3aifS5cuJAdO3agaRpPnjzh33//Zf/+/Tx58oQyZcqwatUq8uXLZ3BNhQoV2Lx5Mx999BGdO3dmwoQJ1K1bFwcHB4KDgzl06BBnz57F3d09yeetVq0a1apV448//uDOnTvUqFEDf39/Nm3aRIsWLVi7dq3B+cuXL2fOnDnUr18fd3d3cubMyYULF9i2bRtOTk706dMHAG9vb4YNG0atWrUoWbIkjo6OXLt2jU2bNmFjY5OqxFWvM2fOHC5fvsxXX33F0qVLqVmzJnZ2dgQEBHDixAmuXLnCnTt3JHh9Q/z9oUSJhNn847O2VhlqJShRjhyB/3YjJOnwYdMHsMZ+vYwZu/xdeYukacGet4DUec3aVq1apQFa5cqVDdr9/f21GCPqQL5KTIymlS1rWFNMp9O0li01bccOI8u6RkRo2sqVmla3rmEHxYtr2i+/aNor6lAKkVJvew3LS5cuadOmTdMaN26sFS5cWLO2ttasra21okWLar169dJ8fX0TvS44OFj7/vvvtVq1amkODg6ahYWFljNnTq1SpUra0KFDE70uts5r7Mvc3Fyzt7fXSpcurXXr1k1bs2aN9uLFiyTH+/DhQ+27777TatSooeXKlUuzsLDQHB0dtfr162szZszQnj59qj/3VfVR79+/r/Xp00fLnz+/Zm1trZUrV06bPXu2du3atQTnHz16VOvfv79WtmxZzd7eXrOxsdGKFSumffrpp5q/v7/+vAsXLmifffaZVqlSJc3R0VGzsrLSihQponl4eGgXLlww6N9UdV41TdPCwsK0adOmaVWqVNHeeecdzcbGRitcuLDWpk0b7ffff9ci4xXvftX9X+dt/x5JrhMnkld788SJ9B5pxrFsWfL+zJYtM33fxn69jBm7/F3J/JIbU+k0LY3z52dxoaGh2NnZERISok/2ILKWK1euEBQURM3/PuaLjo6mUKFCvPPOO2zZsiVBeQdj+fjA7NmwapXKUBxfsWIweLDKw2TUSuZz59SS4qVL4ckT1WZjo9YqDxqUilo+QsQJDw/n+vXrFC5cGGtr6/QejhAZjnyPJM/Jk8n77+jECZVoX6jVW927v/68ZcvA1MUWjP16GTN2+buS+SU3ppKETUK8RrFixfSBK8DFixcJCQnh4cOHBnuxrl69ylMTlACpWlWV0wkIgMmToWDBuGNXrsDnn6vtqv9VjUidsmVVhBwYqILYcuXg+XOVEvndd6FaNTWI58+NexghhBBCCCFMRIJXIVKobNmy3L17l23btun3rAH07t0bZ2fnRDNlpkbu3KpQ+LVrKrHT++/HHXvxwkSTozlyqA22p0+rLFJdu6rCsz4+0Lu3ipKHDVNRsxBCCCGEEOlIglchUiF79uxUr15d//7p06fcu3eP58+fU6lSJX27n58fV4wM/CwsoG1b2LULzp9Xq3r79IF4eaUAVY5n8mR48CAVneh0UKuWWrMTO+Xr5gaPHsHPP0Px4tCkCfz5J0RFGfU8QgghhBBCpIYEr0KYQPbs2bl8+TJnzpyhQLwSNN9//z3Fixdn0qRJJumndGm12nfePMP2589h0iT4+mu1zNjDA3x9U9lJnjxqyvfqVVVmp3lzFdz+/beKogsXhu++U5mLhRBCCCGEeEMkeBXCRHQ6HWXKlDFoCwsLw8zMjDp16ujb7t69y/bt24ky4QzmgQNqkhRUkicvL7V3tkYNldjg5cRPyWJuDi1awNat4OcHI0eqImm3bsHYsSrX/Ecfwd69KomfEEIIIYQQaUiCVyHS0KpVq7h16xa1atXSt3l6etK8eXM6duxosn6aNFETpcOHQ65cce3HjkGPHmo29n//U3FnqhQuDFOmqBssW6aWGEdFwZo10KABlCkDM2dCSIhJnkcIIYRwclK1OZNiba3OE0py68KnuH58Mhj79TJm7PJ35e0hpXKMJKVyREr9+OOPTJ06lSlTptC3b18AIiIiWLhwIZ06dcLJyH9Zw8JgxQqYNUvlYYovf35VyNvc3KgulNOnVabiZcvg2TPVZmur8tcPGgQVK5qgE5EZSRkQIZIm3yPJ5+8PQUGvPu7kpBYCiThHjqhkj69SpAjEK6JgUsZ+vYwZu/xdydySG1NJ8GokCV5Farx48QJN0/TZitevX0/79u1xc3Pj2rVr6HQ6o/vQNDh0SAWx69apidL//U9tV40vMhIsLY3oKDRU1YudO1dllIpVo4YKYjt2fP3HoSJLif3B3M3NDRsbm/QejhAZzvPnz7lx44YEr0II8R+p8ypEBpYtWzaDMjvW1tZUqVKFTp06GQSukydP5sSJE6TmMyadDmrXhlWr4OZNtU21f3/DcwID1Wzsl1+qZcepkjMnDB4MZ8/Cvn3QqZNKkXz0KPTsCS4u8NVXSX+UKrIUS0tLdDodz2Jn5IUQBsLCwgD1vSKEECL5ZObVSDLzKkwpKioKCwsLAM6ePUv58uWxtLTk7t27ODg4mLy/sWPjZmJ1OvjgAxgyBJo2BTNjPtq6excWLYLfflOld2I7aNpUzcY2b26itcsio7pz5w6PHz8mZ86c5MyZEwsLC5OsKBAiM9M0jbCwMO7fv4+9vT358uVL7yEJIUSGkNyYyuINjkkI8RqxgSuAubk5nTt3xszMzCBwnTp1Kq6urrRu3droJZnh4WBlpbIRaxps26Ze7u4qxuzdG+ztU3FjZ2cYM0ZlKN62DebMgZ07YccO9SpUSE0D9+2bsGCtyBKcnZ2xsbHh/v37hIaGpvdwhMhQ7O3tcXZ2Tu9hCCFEpiMzr0aSmVeR1jRN089YPXr0iHz58hEREcGJEyeoXLmy0fcPClKTpHPmqGQH8dnaqmzFn38OJUsa2dHVq2omdvFiCA5WbZaW0L69ipRr11azsyJL0TSN6Ohok5aGEiIzs7S0xFxWngghhIE0T9jk7e3Nzz//jI+PD48fPyYmJibhzXW6LP8DiwSv4k0KDg5m+vTpnDhxgi1btuiD2tmzZxMcHEzv3r1xcXFJ1b2jo2HLFlXxZtcuw2OLFkGfPsaO/j/Pn6sSO3PmqFo+scqWhYEDoXt3tY9WCCGESbytWVg3bDDMI/iyMmWgbdtXHzcm862xGX/TM+uuMde/rX/XhPHSNHhdt24dnTp1IiYmBldXV1xcXAyWO8a3Z8+elN4+U5HgVaS3mJgYChcujL+/PytXrqRz585G3/PiRZg9G7y8IFs2Vd41/grlmzfV+zx5jOzo5EmVpXjFClXjByB7dhXADhoE5coZ2YEQQrzd/P2hRAm1TeRVrK3h8uWsFVRs2ADt2r3+vPXrEw9gjxyB9957/fWHDycMIo251tjrjf16G3P92/p3TZhGmmYbnjBhAjY2Nnh7e3P9+nUOHDjAnj17En0JIdJWTEwM3333HS1btqR169b69jVr1tCrVy+OHDmS4nuWKqVK7AQGwubNhoErqO2sBQuqZMLHjxsx+MqVYcEC1dGMGep/vadPYd48KF8e6tRRgW1EhBGdCCHE2ysoKOlgAtTxpGbLMqOkZlyTc15yE+Qndp4x1xp7vbFfb2Ouf1v/rok3K1XB6+XLl+ncuTPvv/++qccjhEghCwsLevbsyebNmw0SOP3222/8/vvveHt7p/reOXMm/PT33j344w948UKVd61eHapVU79PdYxpbw+ffqqmfHfvhg4dVLmdgwehWzcVKY8eDTdupPpZhBBCCCFE5paq4NXJyQlbW1tTj0UIYUITJ06kf//+9OjRQ9927Ngx3nvvPby8vFJ9XzMzlcApV664Nh8fNQtbsKCalY2tjpNiOh00aKD2xN68Cd9+qwrRPngAU6aoTT6tWqkMxtHRqX4GIYQQQgiR+aQqeP3oo4/w9vbO8smYhMjMatSowbx583Bzc9O3eXp6cuTIkQSzsSnZ+p47N0ybpvbBLloEFSvGHXvwACZNgsKF1eSpURVS8udXhWhv3lSbkho1UvV8tmyBFi2gWDGYOlV1KoQQQgghsrxUBa8TJ04kV65cdOrUCf+Xa2sIITKssWPH8sMPPzB48GB9271793B1dWX48OEp+kDK1lZlID55Uq3u7dxZrfQFNSl66RLkyGGCQVtYqGwaf/+tsjx88YVaZnz9OowaBS4uKsHT4cMquBVCCCGEEFlSsoLXIkWKGLzKli3LzZs3+fPPPylcuDCOjo4JzilSpAhFixZN8YCePHnCV199RZMmTcidOzc6nY7x48cn69r169fTpUsX3N3dsbGxwc3NjW7dunHlypUE59avXx+dTpfg1axZsxSPWYjMIl++fAwfPpwaNWro21avXk1AQAAHDx40yBoekcwNrDod1KoFK1eqSdJx48DZGYYMSVi29ZdfIJFvx+QrXhx+/lkleFq8GN59V22+Xb5cDaJSJVVL9ulTIzoRQgghhBAZUbKC15iYGDRNM3hZWFhQqFAhChUqRM6cORMc1zQt0dqvr/Pw4UPmz59PREQEbdq0SdG1U6dOJSwsjDFjxrBjxw4mTpzIP//8Q+XKlTmfSDq5IkWKcOTIEYPX9OnTUzxmITKzAQMG8Oeff/Ltt9/q2yIjI3F3d6dNmzbcu3cv2ffKnx/Gj1dBbO/ehsdOnoQvv1Tx5wcfqG2rqfgnQrG1VR34+Kh0x717q/z7p0/DgAFqIEOHwoULqexACCGEEEJkNIkXZ33JjTeY4dPV1ZVHjx6h0+kICgpi4cKFyb528+bN5Hmp8OT777+Pm5sbv/zyS4J72djYGMxACfE2ypYtm0GJHYBDhw5x69YtIiIicHBw0Lc/evQIe3t7dC9PqSa4Z8K2uXPjfr9jh3oVLarKufbubZgAKkWqVlWvH39UhWnnzlXTu7NmqVe9ejBwoFp6nNjAhBAiC3NyUp/tva72ppPTmxvTm1CmjHHnFSmSvOsTO8+Ya4293tivtzHXv61/18SbpdNSkqnlDQsKCiJ37tyMGzcu2UuHE1OkSBGKFSvGzp079W3169cnKCiIc+fOGTXG5BbUFSKzOX/+PNeuXaNVq1b6tpo1axIaGoqnpydVq1ZN0f0ePlQrfefMSVjxxtZWbVsdPFiVdzVKTIwqtzNnDmzcGDe9mzcvfPwxfPKJSosshBBvCX//pGtrOjlBoUJvbjxvyoYNSdd7LVNGfa75KkeOJF1ztUgRqFnT9Ncae72xX29jrn9b/64J4yU3pkpV8FqkSBE+//xzPv3001eeM2/ePKZNm8a15FZaToQpgtdr165RrFgxPvvsM37++Wd9e/369Tl27Bg2NjaEhobi6upK586d+d///mdQK/NlERERBnsBQ0NDKViwoASvIsu7d+8ebm5uREZGcuvWLZydnfXtOXPmTPL7Jr7oaNi6VU2K/v13wuOjRsHkySYa9K1bsGABzJ8Pd++qNjMzVW5n4EBo3Fi9F0IIIYQQ6Sa5wWuqfmq7ceMGjx8/TvKckJAQbt68mZrbm0xUVBR9+/Yle/bsfPHFFwbHateuzc8//8y6devYtGkTzZs3Z9q0aTRr1izJvbqTJ0/Gzs5O/yooMzjiLZE3b17u3LnD5s2b9YErwFdffYWzszPLli1L1n3MzeHDD+Gvv+DiRZXYKXv2uOP165tw0C4uqlasv7+qHduggZqJ3bgRmjVTG3B/+klNCwshhBBCiAwtzaYcQkJCsLKySqvbv5amafTt25cDBw7w+++/JwgyJ06cyMCBA2nQoAHNmzdn5syZTJkyhf3797Nx48ZX3nf06NGEhIToXwEBAWn9KEJkGPb29nzwwQf69zExMZw4cYLQ0FCD7OJBQUHJ2itfsiTMnKmSB8+aBS1bqsnQ+DZuhB494NgxIyrhWFqqwrO7d6skTp9+Cjlzgp8fDB8OBQqAh4eRnQghhBBCiLSU7OB1//79+heo2df4bbGvPXv2sHTpUpYuXUrx4sXTbOBJ0TSNfv36sWzZMjw9PRMko3mV7t27A3D06NFXnmNlZUXOnDkNXkK8rczMzDhz5gwHDx40SH42b948ChcuzIgRI5J1n5w51X7XzZsTruKdPh2WLYMaNaBaNZWTKalkEK9VqhTMmAG3b6slxZUqQUSEunGNGqr8zsKF8OyZEZ0IIYQQQghTS1a2YYiriwqg0+nw8vLCy8sr0XM1TUOn0zFp0iTTjDIFYgPXJUuWsGjRIn1AmhJmsgdOiGQzMzOjVq1aBm03btxAp9NRrlw5fVt4eDiHDx+mfv36yf4ee/gQzp6Ne+/rqyZIhw9XuZcGDDAi8cM770C/ftC3ryq3M2cOrF6tavp8/LHqxMNDdVKyZCo7EUIIYYzMmjzobe3bWJl57OLNSHbwOnbsWHQ6HZqmMWHCBOrVq0f9RDanmZub4+DgQIMGDShVqpQpx/pamqbx8ccfs2TJEn777Td6v1xo8jVig3EpnyOEcRYuXMjYsWNxipcPf+PGjXTu3JnatWtz4MCBZN3H0RECAmDVKrW8+J9/VHtQkErqNHUqtGmj9s3Wrw+vqeCTOJ0OqldXr59+Ak9PVW7n2jU1QztjBrz/vkrw1Lq1WoIshBAizfn7Q4kSry+9cvlywoDGmGuN9bb2bazMPHbx5iQ7eI2f7Xffvn307t2bnj17psWY2L59O8+ePePJkycAXLhwgbVr1wLQvHlzbG1t6du3L15eXvj5+eHq6grAp59+yqJFi+jTpw/lypUzWP5rZWVFpUqVADhw4ADff/89bdu2pUiRIoSHh7N9+3bmz5/P+++/b1AaRAiROoVe+p/l4cOH2NvbU69ePX2bpmmsWrWKDz74AHt7+0TvY2Oj6sB6eMDRoyqIXbMGoqJU7qX169XryhVwdzdy0E5Oasb1yy9VKuQ5c2DLFrVXdvduyJdPldr5+GO1T1YIIUSaCQp6/TaR8HB13svBjDHXGutt7dtYmXns4s3JkHVe3dzcXpmp+Pr167i5ueHh4YGXl5f+/euuc3V11SeQuXr1Kp999hmnT58mKCgInU5HsWLF6Ny5M8OGDUtRoimp8ypE8oWHhxMREYGdnR0A//zzD5UrV8bOzo67d+9ibW2drPvcuaO2q86bp37fpAnEK+MMwNOnhlmMU83fX5XaWbAA7t9XbebmahZ24EBo2DCVU75CCCGScvIkVKny+vNOnIDKlU13rbHe1r6NlZnHLoyXpqVy0tqNGzfQNC3RV2yg6unpafD+ddfFz3zq7u7O1q1buXXrFuHh4Tx//pwzZ87w9ddfp2uGZCGyOmtra33gCvD48WPKlStH06ZNDQJXLy8vzsbf7PqSfPlg7Fi4eVMtKf7mG8Pj0dFQoYKqhrNli3qfaoUKwcSJav3yypVQt6664fr1KjVyyZIqq9SjR0Z0IoQQQgghXidZwauZmRnm5uYpfllYJHtVshDiLdSgQQNOnz7NkiVL9G3BwcF8/PHHlC9fnsuXLyd5vaUldOoEtWsbtm/frras7twJrVrFlXM1Kr7Mlg06d4Z9+1QWqcGDIUcO+Pdf+OILtYy4b1/1kbAQQgghhDC5ZAWvdevWTfAqV64cmqZhZmaGq6sr1apVw9XVFTMzMzRNo1y5ctSpUyetxy+EyOR0Oh22trb6948fP6ZVq1ZUr16dEiVK6NuXL1/Ohg0bePHixWvv+eIFxFuUwbVrceVcP/kEzpwxctBly6rCtIGBKrlT+fLw/DksXqxK7VSrphI/PX9uZEdCCCGEECJWsoLXvXv3smfPHv1r6dKlPHr0iK5du+Ln58e1a9c4cuQI165dw8/Pjy5duvD48WOWLl2a1uMXQmQxRYoUYd26dRw6dEjfFh0dzciRI2nXrh2bN29+7T3atYOrV2HTJrUfNtbz52rraoUKavXvn38aOdgcOVQpnVOn4OBB6NZNzdD6+KgsUwUKwLBhKpuUEEIIIYQwSqr2vA4fPpx8+fKxbNmyBBlFCxUqxPLly3F2dmbEiBEmGaQQ4u1jbm6u//3z58/p1q0bZcuWpWXLlvr2TZs2MW3aNG7fvp3I9WrJ8M6dcOkSDB2qYs1YBw7Ajh0mGqxOB7VqwbJlcOsWTJmipn4fPYKff1brlps0UdFyVJSJOhVCCCGEeLukKnj19vamYcOGSZ7z/vvv4+3tnapBCSFEfNmzZ2fq1KmcOXPGIKnaTz/9xMiRI/U1ml+lRAn49Ve1ynf2bIgtQT14sOF5oaFw5AgYlYM9d24YOVJN/W7ZAi1aqOD277+hbVsoXBi++06lSRZCCPFKTk6qrmdSrK3Veaa81lhva9/GysxjF29OqjIqhYeHc+c1P3jdvn2b57LfSwhhQrp4JWk0TaNHjx7ExMTQvXt3ffvRo0dZtGgRffv2pUaNGgbX58gBgwapCje+vlCunOH9PT3hs89Uqv4hQ1R+pmRW70nI3FwFri1awPXrqtzOwoVqZnbsWJgwQQWzgwZBvXpSbkcIIV5SqBBcvqzqer6Kk1PiNT+NudZYb2vfxsrMYxdvTqrqvNarVw8fHx927dpFzZo1Exw/fPgwDRs2pEaNGuzZs8ckA82opM6rEBnLxx9/zMKFC/Hw8DDIYvw6MTFqRvbff+PaHB3h44/VtlZXVxMMLiIC1q2DOXMg3p5eSpVSEXXPnhCvlJAQQgghxNsguTFVqoLXgwcP0rBhQ6Kjo2nVqhW1a9cmT5483L9/nwMHDrBlyxYsLCzYtWsXtWrVMupBMjoJXoXIWA4ePKifea39Xw2d27dv0717d3r27EmvXr0MZnBjRUWpLaszZ6pC6fGZmcGHH6p9sw0amGiS9MwZlal46VJ49ky12dqqpE8DB0KlSiboRAghhBAi40vT4BVg165dfPLJJ1y/fl3dSKcj9laFCxdm/vz5r90XmxVI8CpExjdt2jRGjhxJrVq1OHjwYJLnahocO6aC2DVrIDLS8HipUrB8uQljy9BQFcDOnQvnz8e116ihlhR37GjE2mUhhBBCiIwvzYNXUHvODh48yOnTpwkJCcHOzo4KFSpQu3btRGc2siIJXoXI+AICAli6dCklSpSgffv2ALx48YKaNWvSrFkzRo8eTfbs2RNcd/euKq0zbx7EJjS2tlbbVh0dTTxITVMpkOfMgfXr46JmR0fo0wf694eiRU3cqRBCCCFE+nsjwauQ4FWIzOrPP/+kbdu2ODs7ExAQgIWFyl8XExODmZlhIvbISNiwAWbNAnd3WLzY8F4LFoCzMzRvrvI0Ge3uXVi0CH77DQICVJtOB02bqtlYk3UkxJvn7y8JWd4mxn695e+LEG8HCV7fEAlehcicwsPD2bRpE2FhYXh4eOjb69SpQ758+ZgyZQpFihRJcN2LF5AtW9z7p0/BxQVCQlQVnEGD1ESpg4MJBhkdDVu3qiXF8YvSFiqkZmL79oW8eU3QkRBvhr+/Kl0VHv7qc6ytVcZRCUgyP2O/3vL3RYi3h0mD1wkTJqDT6Rg8eDAODg5MmDAhWYPQ6XR88803yR91JiTBqxBZx7///kuJEiWwsLDg9u3b5M6dG1CBrvUr9p16ekLv3oZt1tYq79LQoVChgokGd/WqmoldvBiCg1WbpSW0b68i5tq1pdyOyPBOnlSlqF7nxAmoXDntxyPSlrFfb/n7IsTbw6TBq5mZGTqdjosXL1K8ePEES+peeXOdjujo6OSPOhOS4FWIrEPTNE6dOsWJEyfo16+fvr1r165cunSJn3/+mfr16xtcEx0N27erJcU7dya8Z+3aqmZsu3Yq1jTa8+cqk9TcuXD0aFx7mTIqiO3eHeTfIpFBSTDydpHgVQiRXMmNqSySc7PYWq2F/luTkdVrtwoh3k46nY5KlSpRKV4q4YiICLZt20ZISAjvvPOOvv3Jkydky5YNKysrWraEli1Vjdg5c2DJEpVEGODgQfV6913w8THBIG1sVD3Ynj3hn39UELt8ucpUPHgwjBypAtiBA6F8eRN0KIQQQgiRMSQreK1Xr16S74UQIquysrLCz8+PLVu28O677+rbf/rpJ2bOnMnEiRMZOHAgAMWLw/Tp8N13qmbsrFlw4YI6/8MP02BwlSrB/PkwbRr8/rsKZC9dUumR582DWrXUbGz79mBllQYDEEIIIYR4c5K3/vclMTExph6HEEJkWI6OjvTq1cugBJi3tzfBwcHY2dnp254/f05gYCA5cqiJz3PnYPduFTt+/LHhPW/ehGrV1Czt8+dGDtDeHj79VEXKu3dDhw5gYQGHDqnNtwULwujRcOOGkR0JIYQQQqSfVAWvuXLlolWrVvz000+cOHECSVgshHjb7Nu3jx07dtCmTRt92/r16ylUqBAf/xep6nTQoAGsXatK6cQ3d65aRtynj4otR41SAa1RYjtcs0bd7NtvoUABePAApkyBIkXU+uZt29RmXSGEEEKITCRVwWvJkiXZuXMnI0aMoFq1ajg4ONCmTRumT5/OqVOnTDxEIYTIeMzNzWnatCm2trb6tn/++YeYmBgKFCigb9M0jWPHjiX4kO/06bjfP3wIU6eq2LJNG/D2BqM/E8yfH8aOVbOt69dD48bqplu3QosWqmDt1KkqsBVCCCGEyARSXef16dOnHDhwgN27d7N37179D206nQ57e3vq1atHgwYNGDp0qKnHnKFItmEhRHx+fn5kz56dvP/VXz1+/DjVq1enXLlynDp1Sp+tXdPg+HG1L3b1aoiMNLxPyZIqS3HPnpAjh4kG9++/ai/skiXw+LFqy5YNOnZUe2Nr1pRyOyJNSd3Ot4vUeRVCJJdJS+Ukt8P9+/ezZ88eli1bRlBQEICUyhFCvNWWLVvGwIED+fDDD1m+fLm+/e+//6ZGjRrkyJGDe/dgwQK1lPj2bcPrly5VyYNNKixMRcxz5oCvb1x7+fIqiO3WDbJnN3GnQij+/vDfjwiJcnKSQCQrMfbrLX9fhHg7vNHg9ebNm+zZs0f/unXrFgCurq5cv37d2NtnaBK8CiFe59mzZ4SEhJA/f34AHjx4QP78+cmWLRt+fn44/7chNjISNm6EmTNh/37Ik0f94BY/UXBwMNjZgbm5iQbn46Oi5pUr46Y3cuRQU74DB6r6sUIIIYQQaShNg9fbt2/rA9Xdu3dz8+ZNNE0jf/78NGjQQP8qXLiwUQ+RGUjwKoRIKV9fX7p3706OHDnwiVf8dfv27RQpUoQSJUpw5gxcvw6tWxte+9FHKt4cNEgle3J0NNGggoPBy0sFsleuxLXXq6eC2LZt1RJjIYQQQggTS9Pg1fy/j/zz5Mmj39vaoEEDihcvnvoRZ1ISvAohUkPTNB4+fIiTkxMAUVFRuLi4cO/ePXbv3k2DBg0SXBMYCK6ucYmCra2ha1e1N7ZSJRMNLCZGlduZMwc2bYrrLG9e6NcPPvlE1ugJIYQQwqSSG1OlKtuwpmlomkbevHnJnz8/+fPn1ycnEUII8Xo6nU4fuAI8fPiQd999F2dnZ2rVqqVv9/b2ZuvWrURFRfHkCTRpEneP8HBYvBgqV4batWHVKnjxwsiBmZlBo0YqQ/GNGypjsbMz3LsH338PhQur6eCdO1WgK4QQQgjxhqQqeD1+/DjTpk2jQIECLFq0iNatW+Pk5ETVqlUZOXIkO3bs4NmzZ6ka0JMnT/jqq69o0qQJuXPnRqfTMX78+GRff//+fTw8PHBycsLW1paaNWuya9euRM/19vamZs2a2Nra4uTkhIeHB/fv30/VuIUQwhh58+Zly5YtXLt2jWzxlueOGzeOli1bMmvWLEqWVCVa//0XPv8c4n8weegQdOkCbm6qvOvL2YtTxcVF3czfX9WObdBABaybNkGzZlC8OPz4o6r1I4QQQgiRxoxO2BQdHY2Pjw979uxh3759HDp0iLCwMMzNzalatSqHDh1K0f1u3LhBxYoVqVChAsWLF2fhwoWMGzcuWQFsREQE7777Lo8fP2bKlCnkyZOH2bNns3XrVry9valXr57+3H379tGoUSNatGjB4MGDuX//PiNHjiRXrlz4+vpiFT9DShJk2bAQIq1ER0czYsQIVq1axYkTJ8iXLx8APj4+HDp0iNatu7FzZ25mzYLz5+Ouq1QJTpxIo6o3Fy+qcjteXhASotqsrKBTJ7URt1o1KbcjsqwjR+DatVcfL1JEVZzKan1n1oy/kulYiMwj2TGVZiLR0dHa8ePHtQkTJmh58uTRdDqdZmZmluL7xMTEaDExMZqmadqDBw80QBs3blyyrp09e7YGaIcPH9a3RUZGaqVLl9aqVatmcG7VqlW10qVLa5GRkfq2Q4cOaYA2Z86cZI83JCREA7SQkJBkXyOEECkRHR1t8N7Dw0MDtI8//ljTNE2LidG0PXs0rV07TTMz07RFiwyvj4nRtLVrNS0szISDevpU0xYs0LRKlTRNla1Vr8qVVfvTpybsTIj0d/iw4V/1V73i/QiSJfq+eVPTrK2T7tfaWp2XkRg77sz63EJkVsmNqVK1bDjWqVOn+Pnnn2nVqhUODg7UqFGD8ePHExwcTLVq1fjqq69SfE+dToculZ/ab9iwgRIlSlAz3kePFhYWdO/enePHjxMYGAhAYGAgPj4+9OjRAwsLC/257733HsWLF2fDhg2p6l8IIdKCmZnhP9V169alatWq9OrVC1ATnUWLBuDsPJg//zxNly6G1x8/Dh06qFXAI0eqraxGe+cdlcDpxAk4elSV1rGygpMn4eOPoUAB+OwzuHTJBJ0Jkf6SmvVMzXmZpe+goLgqWq8SHp70DGV6MHbcmfW5hcjqUhW8tmvXDkdHR6pUqcLw4cPZvn07xYoVY9iwYWzevJng4GCOHj3K5MmTTT3eJJ07d47y5csnaI9tO//furpz584ZtL98buxxIYTIiHr37s3x48cNEjstXbqUOXPm8NNPn2FjY3j+zJnq1+BgmDZNLS9s3Rr+/lvNHxhFp4Pq1dUy4sBA+OEH1UFICPz6K5QqBQ0bwtq1JtqIK4QQQoi3VaqC102bNuHq6srnn3/Oxo0befjwIT4+PkybNo3mzZuTI0cOU48zWR4+fIiDg0OC9ti2h/8lFYn99VXnPkwi+UhERAShoaEGLyGESG/16tWja9eufPLJJ/q28PBw2rVrR4kSO+jWLUZfplXTVM6lJk1UbDlrFpjknzJHRxg+XNWJ3bEDPvxQZS/evRs6dlR1fsaNg1u3TNCZEEIIId42qQpeHzx4wMmTJ/npp59o1aoVdnZ2ph5XqiW15PjlY686N6l7TJ48GTs7O/2rYMGCqRuoEEKYUK1atVi+fDldu3bVt23evJkNGzYwf/7HeHlpBATAxIlqRW+sy5dh6FDVtnixiQZjZgZNm8LGjXD9OowZA3nywJ07MGGCSoncvj14e0u5HSGEEEIkW6qC11y5cpl6HCbh6OiY6KxpcHAwEDfT6ujoCPDKcxObkY01evRoQkJC9K+AgABTDF0IIUyuevXqjBs3juHDh2Nubk6ePCqOrFKlPR999Ae1a8ct4336VK32NblChVTEHBCgCtHWrQvR0aqObOPGaur3l1/g0aM06FwIIYQQWYlRCZsymnLlynH27NkE7bFtZcuWNfj1VefGHk+MlZUVOXPmNHgJIURGVKhQIcaPH89nn32mbzt16hSbNq3nzz97sHHjE86ehf791bbVeNXEANi6FaZONVEZ12zZVDmdffvg7FkYPBhy5FBFa7/8Uk399u0Lvr4m6EwIIYQQWVGWCl7btm3LpUuXOHbsmL4tKiqKZcuWUb16dfLnzw9AgQIFqFatGsuWLSM6Olp/7tGjR7l8+TLt2rV742MXQog3oXjx4ixdupSxY8fi4OBA2bKqbGuJEr3p0aM7Fy9e1J87aRKMGqWyFPfpoxIJm0TZsmqjbWCg6rx8eXj+XK1brlpV1YpdsgTCwkzUoRBCCCGyggwZvG7fvp21a9eyefNmAC5cuMDatWtZu3YtYf/9MNO3b18sLCy4efOm/ro+ffpQpkwZOnbsyIoVK/D29uajjz7i8uXLTJ061aCPqVOncunSJTp27Ii3tzcrVqzgo48+omzZsvTu3fvNPawQQrxBtra2dO/enTFjxujbHj16xKpVK1i+fDkREREAXL0Khw+r4+HhKpasUgXeew9WrIAXL0wwmBw51LTvqVNw6BB066ZmaH18VLTs4gLDhqkEUEKks+Quq0+L5ffp2beTE1hbJ32OtbU6LyMxdtyZ9bmFyOp0mmZ0oQSTc3NzMwhK47t+/Tpubm54eHjg5eWlfx/r3r17fPXVV2zZsoWwsDAqVqzId999R6NGjRLc6++//2bs2LGcOnUKW1tbWrZsyQ8//ECePHmSPdbQ0FDs7OwICQmRJcRCiExJ0zSOHz/Ozp07GTt2rL594MCf2LAhH0+fduTZM0uDa/LmVXFn//7w36IW03jwQM3AzptnWJC2cWMYOBBatYJ49bmFeJOOHEm6lmqRIhCv1HyW6dvfP+l6pk5Oant7RmPsuDPrcwuRGSU3psqQwWtmIsGrECIr0jQNd3d3rl27hpfXWsLD2zNzJrxcBjtbNlX5JnduEw8gOhp27oQ5c2DbtriCtAUKqIi5Xz/Il8/EnQohhBAiPSQ3psqQy4aFEEKkL51Ox+HDh5k+fToffdSCTz6BM2dg1KgdWFltwsxMlbhp0iRh4GqSj0TNzaF5c9iyBfz81OZbJye1T3bsWDXd8dFHsGePiToUQgghREYnM69GkplXIcTbpF27dmzYsIERI2ZgZfUpDRtCvXoaQUFB5M6dm6goePfduFW+Jt2DFxEB69ap2dhDh+LaS5WCAQOgZ0+wtzdhh0IIIYR4E0y6bNjMzAydTpfiQeh0OqKiolJ8XWYiwasQ4m0SGRnJjh07qFKlij6D+5EjR6hbty4dO3akffvldOig/r/Q6aBFCxg6FBo1AjNTrvU5cwbmzoWlS+HZM9Vma6uSPg0cCJUqmbAzIYQQQqSl5MZUycp6Ubdu3VQFr0IIIbIWS0tLWrVqZdC2e/duoqKisLS05No1HdmyqWzEmqZW/W7ZAsWLq9KuvXqBnZ0JBlK+vApep05VAezcuXD+PCxYoF41asCgQdCx4+tThgohhBAiU5Blw0aSmVchhICLFy9ibm5O8eLFefAAfvnlCZMnPwIMU3G+845a3TtkCJQubcIBaBocOKCC2HXrIDJStTs6qrI7/ftD0aIm7FAIIYQQpiIJm4QQQrwxpUqVonjx4oBK4FSr1n6srctQvPhoGjSIO+/ZMxVfzptn4gHodFC3LqxcCQEB8P33ULAgPHwIP/wA7u7wwQewebPKZCyEEEKITEeCVyGEECbXokUL7t0LZOPGXuzerUrs9O8fDaj9qY0aXTY4/8kTVeLVJPLmha+/huvXYeNGaNZMte/YAR9+qLJITZoE9+6ZqEMhhBBCvAlGLRs+cuQI3t7e3L59m4iIiIQ31+lYtGiRUQPM6GTZsBBCJM+VK1do3LgDjx+/S1DQb1hYqLQLPj4+bNhQhJ9/dqRzZ7Wk+N13Tdy5nx/89hssWgTBwarN0hLat1d7Y2vXVrO3QgghhHjjTJpt+GVRUVF06dKF9evXo2kaOp2O+LeJfa/T6YjO4suzJHgVQojki4mJwd/fHzc3N31btWo18fFZDsTV1aleXWUp7tABrKxMOIDwcFizRpXbOXo0rr1MGRXEdu8O8m+5EEII8Ual6Z7Xn376iXXr1tG7d298fX3RNI3PP/+cI0eOMHXqVOzt7enYsSN+fn6pfgAhhBBZj5mZmUHg+vz5c3LkyI2Z2Ubs7GL07ceOqTiyUCGNb76BwEATDcDaGnr0gCNH4ORJ+PhjVWLn/HmVDrlAAVVq58wZE3UohBBCCFNJ1cxr+fLlATjz33/uZmZmjB8/nrFjxwJw/vx5qlWrxs8//0z//v1NONyMR2ZehRDCeMHBwVhbO7BiBcycmTB2NDeHdu3gxx+hUKHE75Fqjx+rcjtz5sClS3HttWqp2dj27U08/SuEEEKI+NJ05vXq1avUr19f/16n0xEZW5YAKFOmDK1atWLu3Lmpub0QQoi3jIODA7a20K8fnDoFnTrNxtJyA+bm6vPV6GjYsiWGNWsWERy7Z9VU7O3VGuULF2D3blUb1sICDh2Cbt1U1uLRo+HGDdP2K4QQQogUSVXwmi1bNmxtbfXvs2fPzv379w3OcXV15cqVK8aNTgghxFtHp4NVqwbz5ElzbtyAb76BPHmgTJmTDB/ej27duunPXb9e5WIyWccNGsAff4C/P0yYoJYRP3gAU6aoLMUtW8LWrVJuRwghhEgHqQpeCxYsSEBAgP59yZIl2b9/v0HSpqNHj+Lg4GD8CIUQQryVrKyscHHRMWGCiiX79PGjQoUK+uA1JAR69tRwd4+hbt1QduyAmJjX3DS58uVTUfONGypCbtwYNE0Fri1bqrqxU6easL6PEEIIIV4nVcFrvXr1DILVTp06cfnyZVq2bMns2bPp0qULBw8epFlsbT0hhBDCCFZWMHBgJ06dOkXXrl0B8PKCZ890gBkHDuTkgw+gRAmYPl1tYzUJCwto2xb++gsuX4YvvoBcuVRQO2oUuLiozFKHD6vgVgghhBBpJlUJm06ePMmCBQv4+uuvKViwIJGRkbRv354tW7boz6lWrRpbt27F0dHRpAPOaCRhkxBCpI+gIBg79iZeXraEheU2OGZhEUGDBreYOrUQlSpZmrbjsDBYvRrmzgUfn7j28uVVgqdu3SB7dtP2KYQQQmRhaVrn9VV8fX3x8/PD1dWVatWqYWaWqondTEWCVyGESF9RUbBlC8yaBbt2JTzeowf8/nsade7rq4LYFStUDVmAHDmgZ09VcqdMmTTqWAghhMg60iV4fRtJ8CqEEBnHhQswdeoTVq7MRmSkKm8zZQqMHAnDhg3DycmJfv36kTt37tfcKYWCg9U65rlzIX6ywrp11Wxs27aQLZtp+xRCCCGyiDQtlWNubs53332X5DlTp07FwsIiNbcXQgghUqV0afDyysGDB1b8+itUqAB9+0JQUBAzZ87k66+/5vjxR/TqZbji12gODmo/7KVL8PffqiituTns3w+dO6vitP/7n8o8JYQQQohUSVXwqmkayZmwlUldIYQQ6cHOTpVuPXUKnJzA1taWefPm8cknn+DtXZzff4dq1aBgwUDq1VuAr+9Z03RsZgaNGsG6dSqp09ixKnPxvXvw/fdQuDC0bg07d5owNbIQQgjxdkizTakPHjzAxsYmrW4vhBBCJJutrS19+vRh7tzf2Lgxrv3WrQLs3/8xDRsW53//g1u3TPjBq4sLfPst3LwJa9bA+++rgHXTJmjWDIoXhx9/hIcPTdOfEEIIkcUle8/r7/GyXXh4eNCmTRvatGmT4Lzo6Ghu3brF9OnTKVasGEePHjXZYDMi2fMqhBCZS1gYrFwJM2dqnD6tMzhmbg4VK17nxYufmTChEW3atDZt5xcvwrx5an9sSIhqs7KCTp3U3thq1UCnS/oeQgghRBZj8oRNZmZm6JLxH2rs7WxsbFi3bl2Wr/UqwasQQmROmgaHDqksxevWqazF8fXqtRZPzw7/nasRExODubm5aTp/9kxF0HPmwD//xLVXqqSC2C5d4J13TNOXEEIIkcGZPHj18vIC1H/gffr0oU2bNrRunfATaXNzcxwcHKhZsya5cuVK5fAzDwlehRAi87t9G+bPh99+g7t3IWfOJ5w+HYqbWwEA9u/fT5cuPRg06BPGjBljuo41DY4fV0Hs6tUQEaHa7eygVy9VbqdkSdP1J4QQQmRAaVoqp3fv3rRt25YPP/zQqEFmBRK8CiFE1vHihZqFjYxUpVpjDRo0iLlzG+Hi4s78+eVp2lTlZnr69CnZs2c3TecPH8KSJWpZsZ9fXHuDBmo2tnVrsLQ0TV9CCCFEBpKmpXKWLFmSpoHr06dP+fzzz8mfPz/W1tZUrFiRVatWvfa6+vXro9PpXvm6e/fua8/N6suchRBCvFq2bGrFbvzAFeCzz35Bp2vLrVvlad5c5VoaP/4xuXMXo2PHjkRGRhrfuaMjDB8O//4LO3bAhx+qCHnPHujYEVxdYdw4lVVKCCGEeAulauY11oYNG1i5ciWXLl0iLCyMq1evAnDp0iU2bdpEt27dKFCgQIrv26RJE3x8fJgyZQrFixdnxYoVLFy4kOXLl9O1a9dXXnfhwgVCQ0MN2sLCwmjWrBlVqlThyJEj+vb69esTEBDA8uXLDc63t7enZAqWaMnMqxBCZH379qlVvDdvvnzkGc7O3vz1V2vKlVMtd+/exdnZ2TQd+/ur9cwLF6pyO6CySn34oZqNff99FeAKIYQQmViaLhuOiYmhS5curF27FlDJmZ4/f050dDQA9+7dw8XFhQkTJjB69OgU3Xvbtm20aNGCFStW0KVLF317kyZNOH/+PP7+/ilKmOHl5YWHhwcLFy6kb9+++vb69esTFBTEuXPnUjS+l0nwKoQQb4foaNiyRSV48vZOeLxePRgwIJJBg5wpWNCFLVu2ULBgQdN0/uIFbNig9sbu3x/XXrw4DBgAHh7wFuSZEEIIkTWl6bLhX375hTVr1tC/f38ePXrE8OHDDY7nzZuXOnXqsHXr1hTfe8OGDWTPnp2OHTsatPfu3Zvbt29z7NixFN1v0aJFZM+enU6dOqV4LEIIIUQsc3O17fTvv+HCBRg8GOJvd923DyZODOfZs6cEBQWRP39+/TE/Pz8iYpMxpUa2bKqczr59cO6c6jxHDrXE+MsvoUAB6NMHfH2NeEIhhBAiY0tV8Orp6cm7777LnDlzyJkzZ6IldNzd3bl+/XqK733u3DlKlSqFhYWFQXv58uX1x5PrypUrHDhwgM6dOyeaUMPPzw8HBwcsLCwoWrQoY8aM4fnz5ykesxBCiLdLqVJqBjYwEGbOhBIlVPuoUTm4c+cO69atw9zcHE2DU6egY8eO5MuXj3379hnfeZkyqvPbt1Vyp/Ll4flzleypalX1WrJEFbQVQgghspBUBa9Xr16lbt26SZ7j6OjIw4cPU3zvhw8f4uDgkKA9ti0l91y0aBGAwXLhWLVr1+bnn39m3bp1bNq0iebNmzNt2jSaNWtGTEzMK+8ZERFBaGiowUsIIcTbKWdOGDIELl5UM7IdO6r/r2rUqAHAgQOqdOu5c4sJDW2Du3tZ/bVXrlzhljHJl7Jnh/79VXR86BB066ZmaH191Sysi4ualf33XyOfUgghhMgYUhW82tjYvDZou3nzJvb29qm5faIzuck5Fl9UVBReXl6UKVNG/0NEfBMnTmTgwIE0aNCA5s2bM3PmTKZMmcL+/fvZuHHjK+87efJk7Ozs9C+T7WcSQgiRael00KgRWFkZts+apX6NjKxIdPRiKlVyZMwYCAiAb775hkKFCjF79mzjO3/vPVi2TGUinjIF3Nzg0SP45Rc1Ldy4sdozGxVlXF9CCCFEOkpV8FqpUiV27tz5yv07wcHB7NixI9Gg8XVeNWMbHBwMkOisbGK2bdvG3bt36devX7L77t69OwBHjx595TmjR48mJCRE/woICEj2/YUQQrxdWraEihXj3j94AJMmQeHCGnv3DkbT6lKjRk398Vu3brF///4kVwAlKXduGDkSrl6FrVuhRQsV3Hp7Q7t2KqidMAHu3DHquYQQQoj0kKrg9dNPPyUgIIAOHToQGBhocMzPz4+2bdsSEhLCp59+muJ7lytXjosXLxL10qfDZ8+eBaBs2bKJXZbAokWLyJYtGz169EjxGMySKDtgZWVFzpw5DV5CCCFEYnr2hJMn1arezp0hNp1DdLSOe/fqAHvp1auSPnvxb7/9Rr169RLd7pIi5ubQvLlKj+znB6NGqcA2MFDVii1USK1x3rMHUl8xTwghhHijUhW8tm7dmlGjRrF161YKFSrETz/9BECePHkoXrw4Bw4c4H//+x/vv/9+iu/dtm1bnj59yrp16wzavby8yJ8/P9WrV3/tPe7evcu2bdto06YNjo6Oye7by8sLIFUzxkIIIURiYlf1rlypyraOHw/xy8CeP6/D1jbufY4cOWjatKn+/bNnz1i0aFHqcywULgyTJ6u1ysuXQ61aavnw2rWqTmzp0vDrr/D4ceruL4QQQrwhqarzGuvvv/9m1qxZHDt2jODgYHLmzEn16tX59NNPDf7jTakmTZrg6+vL1KlTcXd3Z+XKlSxYsIBly5bRrVs3QCVh8vLyws/PD1dXV4Prp06dyqhRo/jrr79o3LhxgvsfOHCA77//nrZt21KkSBHCw8PZvn078+fPp169evz9999Jzr7GJ3VehRBCpNSLF7B+vdoTGxYGJ06oIBcgLCyMffssiYmx5IMPYPnypfTs2ZNy5cpx5swZ0wzgzBmYOxeWLoVnz1Sbra1K+jRwoMoyJYQQQrwhyY2pjApe08rTp08ZM2YMf/zxB8HBwZQsWZLRo0fTuXNn/TkeHh54eXlx/fp13NzcDK4vUaIEL1684Nq1a4kmeLp69SqfffYZp0+fJigoCJ1OR7FixejcuTPDhg3D6uWMG0mQ4FUIIYQxQkNV1uJYmqaq3Zw4AUWKQK1apzh2bADdujVn7Nix/52jMW3aND788ENKlSplXOfLlsGcOXD+fFx7jRoqiP3oI7C2Tv39hRBCiGRIk+D16NGjjBkzBh8fHwCqVavGpEmTqFatmvEjzqQkeBVCCGFKx4/DyztkbG01unSJ4dNPzSlfXv1/XLNmTWxtbbl//z7vvPOOcZ1qGhw8qILYdesgMlK1OzpC794wYAAULWpcH0IIIcQrmDx4PXv2LNWrVyc8PNyg3cbGhuPHj1OmTBnjRpxJSfAqhBDClKKjVaLgWbNU7diX1a0LzZtf48CBYeTJk4vFixfrj02ZMoUyZcrQrFkzLC0tUzeAe/dg0SL47Te1STdWs2ZqNrZFC5UQSgghhDARkwev3bp1Y+XKlYwZM4ahQ4ei0+mYMWMGkyZNonv37vz+++8mG3xmIsGrEEKItHLpkpoM9fSEJ08Mj7m6woULGra2anvMvXv3KFCgANHR0Vy8eJGSJUsa13l0NGzbpgawc2dcVuJCheCTT6BfP8ib17g+hBBCCNIgeC1UqBBubm7s37/foL1OnTr4+/tz8+ZN40acSUnwKoQQIq2FhqrcSrNmqYAWVNnW+In57969yw8//MDVq1fZuHGjvn3GjBlER0fTvXt38uTJk7oB+PmpmdhFi+C/uutYWkL79mo2tk6duIxTQgghRAolN6ZKdqmce/fuJVpCpkaNGty7dy91oxRCCCHEa+XMCYMHw4UL4O0NbdrA0KGG5zg4OHPp0k+0a7eR2B0+kZGRTJo0iWHDhnHs2LHUD6BoUZg2TdWJ/f13ldApMhJWrYJ69aBcOZg9W0XZQgghRBpJdvAaGRlJ9uzZE7Rnz56dyNjEDkIIIYRIMzodNGwIGzZA/fqGx9avV6t8PTygYEH4+mu4cSOGb7/9lg8++IBmzZrpz126dCkDBw7k1KlTKRuAtTX06AFHjsDJk/Dxx6rEzvnzMGQI5M+vZmJNVdJHCCGEiCfZwasQQgghMq5du+J+HxQEkydDyZJW/PXXAIYP34aFRVwCpzlz5jBv3jx2xb8opSpVgvnz1Wzsr79CyZKqZuy8eVChAtSuDcuXQ0SEEU8lhBBCxEn2nlczMzPc3d1xd3c3aL969Sp+fn40bdo04c11OrZu3WqakWZQsudVCCFERqBpcPQozJwJa9ZAVJTh8dKl1eRojx5w9Kg3Xl5e/PDDDzg7OwOwZ88evv/+ewYOHEj79u1TN4B9+1SCpw0b4gaQOzf06QP9+0PhwkY+pRBCiKzI5AmbzMxSPkmr0+mIjo5O8XWZiQSvQgghMpo7d2DBAjUJeueO4bGvvoKpUxNe07NnT5YuXUr//v2ZN2+evl3TNHQpTcZ05w4sXKiSPAUGqjadDpo3V8uKmzWTcjtCCCH0TB68pjabsKura6quyywkeBVCCJFRRUaqvbCzZsHBgyp+vHoVihSJOyc8XCUO9ve/ztKlS2nZsiWVK1cG1P/977//Pj179mTs2LEpD2KjomDzZpg717BorZsbDBigZmRz5zb+QYUQQmRqJg9eReIkeBVCCJEZnDoF+/fDp58atk+apCrgDBoEvXuDg0P8Y5MYM2YMDRo0YPfu3fr2yMhILC0tSZErV9RU8JIl8OiRasuWDTp2VLOx770n5XaEEOItJcHrGyLBqxBCiMwqKkptQ711S723sYFu3dTe2AoVICwsjD///JM8efLQqFEjAJ4/f07RokWpX78+s2fPJleuXCnr9PlzWL1a7Y318YlrL19eRdDdukEi1Q2EEEJkXRK8viESvAqRNWlaNI8fH+DFiztky5YPe/s66HSyR09kLXfvQq9e8NdfCY/VqaOC2LZt1bLiWJs2baJ169YUKlSI69ev63NihIaGpvz/QV9ftaR4xQr0xWlz5ICePdVsbJkyqXwyIYQQmYkEr2+IBK9CZD0PHqzn6tXPiIi4pW+zsnLB3X0GuXO3S8eRCZE2Ll9WE6FLlsCTJ4bH8udX21M/+wxy5lQJnHx9fbl37x4tW7YEVFuFChWwsrJiyZIllC1bNmUDePQIvLzUIK5ciWuvW1fNxrZtq5YYCyGEyJIkeH1DJHgVImt58GA95893AF7+p1HtxStTZq0EsCLLevIEli5VCZ4uXoxrz5FDJQ3OkSPx665fv07x4sUxNzfnzp07+qXE9+7dw8HBIfn7Y2NiYPduNRu7cSPEVizImxf69YNPPoFChYx4QiGEEBlRcmOqlNe/EUKILErTorl69TMSBq7o265e/RxNy9olwMTbK0cONdF5/jx4e0ObNmBmBh4eCQPXQ4fU9lWAwoULExgYyLp16wz2wA4ePJgCBQrw559/Jm8AZmbQqBGsWwc3b8K4cZAvH9y7B99/rzbotm4NO3aoQFcIIcRbRWZejSQzr0JkHY8e7eX06QavPa9ChT3kylU/zccjREZw8yZYWECBAnFtwcHg4gK2tmpCdOBAeLky3osXLyhWrBj+/v6cPn2a8uXLA2o2VtM0nJ2dkzeAyEjYtEktKY6X8ZiiRdV65t69wdHRyKcUQgiRnmTmVQghUujFizsmPU+IrMDV1TBwBVi8WM26PnwIU6equrFt28KuXRD7kXi2bNnw8/Nj9+7d+sAVYPr06bi4uPDdd98lbwCWltC+vbr5xYtq862dHfj5wYgRanC9esHRo3GdCyGEyJIkeBVCiP9ky5bPpOcJkVU1aKAq2sRuZY2JgT//VCt+y5RRk6RPnoCFhQUNGhiuZrhy5QrR0dGULl1a3/bkyROOHj3KaxeDlSwJ06erDbgLF0KlShARAb//DjVrQpUqqv3ZM9M+sBBCiAxBlg0bSZYNC5F1aFo0R4+6ERERSOL7XnVYWblQo8Z1KZsjBKrUzoIFMG8e3L5teCxnTvj6axg5MuF1ly9fxs3NDSsrKwAWL15M3759admyJZs3b07+ADQNjh9XCZ5WrVKBLKiZ2V691HrmkiVT+XRCCCHeFFk2LIQQKaTTmePuPiP23ctHAXB3ny6BqxD/cXaGb76BGzdg9WpVGzZWaCj8F5smUKJECX3gCvDgwQNsbW1577339G2aprFmzRqeJTWLqtNB9erg6almY3/4Qe2FDQmBX3+FUqXg/fdh7Vq1d1YIIUSmJjOvRpKZVyGynsTrvBbE3X26lMkR4jVOn1aldv78U5VstbePO3bpEmzZAn36gIOD4XVPnjwhJiYGOzs7AA4ePEidOnXIly8f/v7+WFhYJG8AMTHw999qNnbz5risxPnywccfq5eLi9HPKYQQwnSkzusbIsGrEFmTpkXz+PEBXry4Q7Zs+bC3ryMzrkKkQEREwpnXwYPVflhra7VndsgQqFgx8eu3bNnCZ599Rt26dVmyZIm+/ffff6dWrVoULVr09YPw94f589U+2Hv3VJu5OXz4oaoJ9P77qjyPEEKIdCXB6xsiwasQQgjxes+fQ968KpFTfLVrqyC2Xbu4BFCxNE3j6dOn5PivyOzt27cpWLAgMTExBAQE4JLcGdQXL2DDBjUbu29fXHuxYmpfrIcHxKtPK4QQ4s2SPa9CCCGEyDBsbMDXV1W6if9zycGD0LmzKskzYYJKAhVLp9PpA1eAx48f07hxY+rWrWsQuC5dupSdO3cSHR2deOfZskGnTrB3L5w7p6LlHDnUuuYvv4T8+dVaZl9fEz+1EEIIU5KZVyPJzKsQQgiRMk+fwtKlam/shQuGxywt4dAhqFr11ddHRkZi+d807YsXL8ifPz8PHz5k586dNGnSJPmDWL5crWM+cyau/d131ZLiTp3A1jaFTyaEECI1ZOZVCCGEEBlS9uxqte65c7B7N7RtG7f1NF8+Vb41KZbx1hc/e/aMzp07U65cORo2bKhvX7duHbNmzeLhw4evHkT//nDqlIqWu3dXM7S+vmoWtkABNSv7779GPq0QQghTyZDB69OnT/n888/Jnz8/1tbWVKxYkVWrVr32Ok9PT3Q6XaKvu/HXIf3H29ubmjVrYmtri5OTEx4eHty/fz8tHkkIIYQQL9HpoEEDWL8erl+H0aNh1Ch4ObFwjx6qXuyNGwnvkStXLmbNmsXp06cxN49LqjZ58mSGDh3K8uXLXz+I995TU8G3bsGUKeDmBo8fwy+/QIkS0Lix2jMbFWXsIwshhDBCMvPOv1nt2rXDx8eHKVOmULx4cVasWEGXLl2IiYmha9eur71+yZIllHypKLmjo6PB+3379vHBBx/QokULNm7cyP379xk5ciQNGzbE19fXoP6cEEKklGQrFiJlChWCSZMStl+9CsuWqd//8AO0agVDh0LDhirujKWL9yYmJoYePXpgbm5Oly5d9O379u1jw4YN9O7dmwoVKiTsLHduFSUPHw47d6oET1u3gre3ehUoAJ98Av36qX2yQggh3qgMt+d127ZttGjRQh+wxmrSpAnnz5/H39/f4JPV+Dw9Penduzc+Pj68++67SfZTrVo1nj17xunTp/W14w4fPkytWrWYM2cOAwcOTNZ4Zc+rEOJlideJdcHdfYbUiRUihZYvh969ITLSsL1kSVV6p2dPwwRQSenatSsrV65kyJAhzJw5M3kX3bgBv/0GixbBgweqzcIC2rRRe2Pr1zeMooUQQqRYpt3zumHDBrJnz07Hjh0N2nv37s3t27c5duyY0X0EBgbi4+NDjx49DIqev/feexQvXpwNGzYY3YcQ4u304MF6zp/vYBC4AkREBHL+fAcePFifTiMTInPq1g0CAmDiRDXxGevSJTUDW6CASh586dLr7+Xh4cFHH32Eh4eHvs3Pz48WLVqwbt26xC9yc4PJk9Ugli+HWrXU8uG1a1Wd2NKl4ddf1TJjIYQQaSrDBa/nzp2jVKlSBkElQPny5fXHX6dly5aYm5vj4OBAu3btElwT+z72ni/3k5w+hBDiZZoWzdWrnwGJLWhRbVevfo6mvaKchxAiUXnzwpgxal/smjVQr17csadPYfZstZr3dZo0acLq1aupUqWKvu33339n27ZtzJ8/P+mLrayga1dV2+f0aRgwQCV9unRJ1f8pUAA+/hhOnkzlUwohhHidDBe8Pnz4EAcHhwTtsW2vzBoIODs7M2bMGBYuXMiePXv47rvv8PHxoUaNGpw+fdqgj/j3fLmfpPqIiIggNDTU4CWEEACPHx9IMONqSCMiIoDHjw+8sTEJkZVYWkKHDqpc65kzKllwbDWboUMNz9U0CA5+/T27d+/O119/zZAhQ/RtYWFhVK1ale+//57w8PCEF5Uvr/bDBgaqyLlMGQgLg4ULoUoVqFEDfv8dErtWCCFEqmW44BUMky6k5FizZs2YOHEiLVu2pG7dugwePJgDBw6g0+kYO3Zssu+VVB+TJ0/Gzs5O/ypYsGASTyKEeJu8eHHHpOcJIV6tXDmYN08lCJ41S21BjW/3bjUZ2rcv/PPPq+9TrFgxvv/+e1q1aqVv27BhA76+vixatIhs2bLp2xOkCcmZU+17PXsW9u+Hzp1VhH3sGPTqBS4uMGIE+PmZ4ImFEEJkuODV0dEx0ZnP4P8+Pk1stjQpbm5u1K5dm6NHjxr0AYnP4gYHByfZx+jRowkJCdG/AgICUjQeIUTWlS1bPpOeJ4R4vVy5VOKmeKVfAZg5U018Ll4MlSurraqrVsGLF6+/54cffsiSJUv49ttvMfuvAK2madSoUQMPDw8CAwMNL9DpoE4dWLlS7Y39/nuVPvnhQ/jxR3B3h2bNYNMmiJZtA0IIkVoZLngtV64cFy9eJOqlWmpnz54FoGzZsim+p6Zp+v984t8j9p4v95NUH1ZWVuTMmdPgJYQQAPb2dbCycgFetXpDh5VVQezt67zJYQnx1tE0FS/a2cW1HT4MXbqAqyuMHw+3b7/6+hw5cuDh4UGPHj30bf/88w/Hjx/njz/+IEeOHPr2Fy9Hw3nzwtdfw7VrKlht1kwFtzt3QuvWULiwCm7v3TPR0wohxNsjwwWvbdu25enTpwmy/nl5eZE/f36qV6+eovtdv36dQ4cOUaNGDX1bgQIFqFatGsuWLSM63iegR48e5fLly7RrJ6UshBApp9OZ4+4+I/bdy0cBcHefLvVehUhjOp2a8Lx1Sy0tjv+Z9N278O23Kojt3BkuXEjePStVqsTBgweZOXOmwQfXH330EbVr105YDcHcXBWl3b4drlxRy4cdHdXM7P/+BwULqgHs36+ibSGEEK+V4eq8gsoG6Ovry9SpU3F3d2flypUsWLCAZcuW0a1bNwD69u2Ll5cXfn5+uLq6AtCoUSPq1q1L+fLlyZkzJ2fPnmXatGk8efKEw4cPG8yo7t27l8aNG9OqVSsGDRrE/fv3GTVqFHZ2dvj6+mJlZZWssUqdVyHEyxKv81oQd/fpUudViHSgaSpGnDkT/vzTcOWujw+8pjT8K4WGhpInTx4iIiI4f/48pUuXBuDJkyfY2tomrEsfHq7SJc+ZA/G2M1GmDAwcCD16JL9orRBCZCHJjakyZPD69OlTxowZwx//b+++46ou3z+Ovw4bJME9URRc4cDcOUL95qyvIy1xlCMrV5rftMhKm2pmP1eaaTly58jMlXummZaZiinOcKOoKEPg/P74BHpkyDwH8P18PHgU9+e+z30doOTyHteSJVy7do3KlSsTFBREly5dEvv07NmTOXPmcOrUKby9vQF44403+Pnnnzl37hyRkZEULVqUZs2a8d5771GxYsUk82zYsIH333+fP/74Azc3N5555hnGjRtH0aJF0xyrklcRSY7ZHEd4+A5iYi7g5FQCT8/GWnEVyQHOnYPp0+Hrr6F8ecscEoy7looWNXb3psX58+dZv349vXr1SmwbNmwYCxYsYOzYsXTv3j35gb//btxYPH++cVMxQL580L27kcjWqJGBdycikjvl6uQ1N1HyKiIikvtERxvnXu9PUs1m8Pc3Lg9+5hmj/E7z5mCXjkNWZrM5sWb8Dz/8QLt27QC4ffs2UVFRiZdGJrpxwyirM3WqUTM2wZNPGjcZd+pk1JgVEcnD0ppT5bgzryIiIiLZzdk56erqjh1G/VizGVatghYt4PHHje3GaS3rbjKZ2L9/PytWrKB169aJ7fPnz6dEiRIMGzbMcoCHh5ElHzkCW7ZA587g4GDcMNW9u1Fu5+234dSpTL5jEZHcT8mriIiICEai+sknRr6Y4NgxeP11o2bsgAFpu+DJycmJ9u3bW9SI/fXXX7l7967F0aT4+HgOHjxo1I81mSAgAJYsgbNn4cMPjUmvXoWxY8HHx1gOXr1a5XZE5JGlbcOZpG3DIiIieUtsrFHlZsoUYzH0QS1bwpo16dtODEY5vhIlSlC4cGEAtmzZQrNmzWjcuDHbtm3DZHrglvLYWPjpJ2NL8YYN99q9veHVV6F3b+OArohILqdtwyKSI5jNcVy/vpVLlxZy/fpWzGbrrRjExUXy998D+eOPlvz990Di4iLTPDazcdvyfdtybpG8wMEBOnaEzZuN86+vvQZubveeFyiQ/sQVjFr2CYkrQHBwMM7OzlSuXNkicd2yZQtRUVFGIO3bw88/w99/w9ChxuSnT0NQkFFup1s32LVL5XZE5JGglddM0sqrSMqSLxlTGl/fidleMubQofaEha1M0l6oUDuqVfsh1bGZjduW79uWc4vkZeHhMGeOsRo7ezY0bHjvWVSUkVf26QO1aqXvda9fv05kZCQlS5YE4Ny5c5QtWxZPT09OnTqFh4eH5YDISFi82FiN3bfvXnv16sYtxd26wWOPZeg9iojYim4bthIlryLJu3JlOYcPdwIe/F+Msbrg57c025KplBLXBKklsJmN25bv25Zzizwq4uON46n37/CdMwd69jT+vX594/6lTp3gviOvabZt2zZ69OhB+fLl2bp1a2L72rVr8fPzo0yZMvc6//abUW5nwQIjgwYjcX3xRSOR9fNLfwAiIjag5NVKlLyKJGU2x7Fnj7fF6p8lE87Opalf/1SW1z6Ni4tkxw63h/Zr3PgO9vauFm2ZjduW79uWc4s86v7zH9i0ybKtWDF45RVjy/G/i6ppFh8fz5UrVyhWrBgA0dHRFC9enBs3bvDrr79Su3ZtywHXrxsZ9LRpxvbiBE2aGElsx44Zy6RFRKxEZ15FxGbCw3ekkkQBmImOPkd4+I4snzskZNjDO6XQL7Nx2/J923JukUfdypXw9ddQrdq9tkuX4KOPoGxZeOEFowxPWpcL7OzsEhNX47Uu4e/vT+nSpalZs2Zi+88//8yWLVuI9/CAIUOMOrEbNxrJqr09bN8OgYHG2dgRI4xbjEVEcjElryKS5WJiLmRpv/S4c+d4hvtlNm5bvm9bzi3yqMuXD/r2hYMHjXyxc2cjdwTjwuAlS4xF0AkTMvb6ZcqUYcuWLRw5cgR7+3s7J4YPH06zZs2YPXu20WAyQfPmsGwZnDkDI0dCiRJw+TJ8+qlR2LZdO1i3ztj/LCKSyyh5FZEs5+RUIkv7pYebW4UM98ts3LZ837acW0QMJhM0bmwkq2fOwHvv3atkY2dnnIO9X3oPbrm7uyf+e3R0NHXr1qVo0aK0b98+sX3Xrl3MmDGDG+7uMGqUEcjSpdCsmZGw/vgjtG4NFSvCuHFGHVkRkVxCZ14zSWdeRZK6d/4ylKSXB0HOP/Oasbht+b5tObeIpCw62sgdg4ONbcT3+/BD+PVX44Knp5/OWPmd2NhYHBwcEj/v3LkzS5cu5Y033uCLL76w7BwcDF99ZVyXfOOG0ebsDM8/D/37Q716ljdRiYhYic68iojNmEz2+PpOTPjswacA+PpOyJYkyt7elUKF2qXap1ChdkkSV8h83LZ837acW0RS5uxsVK95MHGNiTHuV1q9Glq1gsqVYeLEezllWt2fuAI0atSIxx9/nBdffDGx7fjx4wwfPpzDcXHG3uXQUJg5E2rWNLLr776DBg2MOj8zZsDt2xl8tyIi2Usrr5mklVeRlCVfc9QLX98JubDOa9rjtuX7tuXcIpJ2wcHQogWcO2fZni+fUelmwICMV7oxm82Y7ltBHTFiBJ9++ilt2rRh9erV93c0ln6nTYNFi4xEFsDDA156ybgquUqVjAUhIpIOKpVjJUpeRVJnNscRHr6DmJgLODmVwNOzsdVW/+LiIgkJGcadO8dxc6uAj8+4ZFdck5PZuG35vm05t4ikXWwsrFoFU6bA5s1JnzdtCgMHwn//Cw8ssKbLhg0b+PLLL3nxxRfp2NH4S6yIiAj69OlDYGAg//3vf7G7ft3YTjxtGoSEWAbRv79x0ZOjY8aDEBFJhZJXK1HyKiIiIpl1+DB8+SXMnWu5a9fT09jl6/bwo/zpMnv2bHr16kWFChU4duzYvZXa+HjYsMFIYletuncrcYkSxpXKfftC6dJZG4yIPPJ05lVEREQkl/Dzg6lTjUR14kSo8O+F6H36JE1cz5zJ/HxPPvkkb775JkOGDElMXM1mM+06dODzQ4e49d13cOoUvPsuFCsGFy4YN0x5ext1ZDdsULkdEbE6rbxmklZeRUREJKslLIBWqQJlytxrv3LFWPisWdPYUty5s3EpVFbYvXs3DRs2JF++fFy8ePFeaZ6YGPjhByO73rbt3oAKFaBfP+jZEwoUyJogROSRpJVXERERkVzKzg5atrRMXMG4DDgmBvbuhR49jOfvvQf//JP866SHn58f06dPZ8SIERY1Zbv16sWrmzZxatYs+OsvI2t+7DE4fhyGDoWSJaF3b9i3L/NBiIikQiuvmaSVVxEREbGW77+Hjz+GP/+0bLe3N3bzDhwIjRtnXbnWixcvUrp0aeLi4jh27BgVK1YEIP7mTewWLTJWYw8evDegdm1jNbZLl6w/qCsieZYubLISJa8iqYuPjyE0dCqRkSG4uvpQqlR/7Oyc0jQ2M7cFg278FZG8yWyGnTuNW4qXLYO4OMvn1arBqFFGMptZ8fHxbN26lZ07d/L+++8ntg8dOpQ//viDke+/z1POzkYSu2SJsSwMxk1TvXoZ5Xb+TXhFRFKi5NVKlLyKpCwkZDjnzn0B3P+blT1eXkPx8fks1bGZqdMKKdU7LY2v70Qb1Vq1ztwi8mgJDYXp042Py5fvtX/5pVHhJjvExcVRqlQpLl26xE8//UTbtm0BiAkNxWHePOymTzcue0rwn/8Yq7GZrfkjInmWzryKiE0Zies4LBNXgDjOnRtHSMjwFMemlLgChIWt5NCh9qnOfeXKcg4f7mSRPAJER4dy+HAnrlxZnoZ3kDG2nFtEHj2lShmXAJ89C/PnQ/36xnHUHj0s+x07BmvXZs0Fwfb29uzdu5exY8fSsmXLxPaZK1dSbupUZgwfDqtXwzPPGPuXN26E554zbir+8EM4fz7zQYjII0nJq4hkufj4mH9XXFN27twXxMfHJGmPi4tMMXFNEBa2kri4yGSfmc1xnDgxGEhuU4nRduLEEMzmB5PqzLPl3CLyaHN2hq5d4Zdf4OhRI4G93+efQ5s2UKkSTJgA4eGZm69s2bIMHz4ch/tWUpcvX87Zs2eJiIw0Jlu1irjjx4kaMgSKFDGWiUeOhLJljWuSt2wx9kCLiKSRklcRyXKhoVNJuuL6oLh/+1kKCRmWpjlS6hceviPJqqclM9HR5wgP35GmedLDlnOLiCQoVcry82vXjFVZgBMn4I03jHI7/foZlwdnlVWrVrFw4UK6deuW2Lb55Ek8p01jUPv2RhCNGkFsLCxdCs2aweOPw6RJmc+mReSRoORVRLJcZGRIhvvduXM8TWNT6hcTcyFN49PaLz1sObeISEo8PGDBAmje/F7b7dvw1VfG5U5NmxoXP8XGZm4eV1dXunTpQtGiRRPbNmzYQHR0NHEODsbS8I4d8Oef3OzWDdzdITgYBg82Mu6+feHAgcwFISJ5mpJXEclyrq4+Ge7n5lYhTWNT6ufkVCJN49PaLz1sObeISErs7aF9e+Po6eHDxkVO+fLde751K3TqBOXKWd6zlBXGjh3Lb7/9xtChQxPbTrm74zF/Ps0qVeLuxIlQtSrcuQMzZ0KtWsbB3blzISoqa4MRkVwvRyavERERDBkyhJIlS+Li4oK/vz+LFi166Ljly5cTGBiIr68vrq6ueHt7061bN44fT7pCExAQgMlkSvLRqlWr7HhLIo+UUqX6Aw8rC2P/bz9LPj7j0jRHSv08PRvj7FwaSKnIoQlnZy88PRunaZ70sOXcIiJp8fjjxk3EoaHGbt37q9g4OxvHUbOSyWSiVq1a+Pr6Jrbt3bsXBwcH7AsUwPH1142itdu3c71VK8yOjrB3L7z0krEaO2wYhKRtN4+I5H05Mnnt2LEjc+bMYeTIkaxdu5Y6deoQGBjIggULUh03duxY7ty5w4gRI1i3bh0ff/wxv//+O0888QSHDx9O0r98+fL88ssvFh8TJkzIpncl8uiws3PCy2toqn28vIYmW+/V3t6VQoXapTq2UKF2KdZ7NZns8fWdmPDZg08B8PWdkC01V205t4hIenh4wKBBxuVOP/8Mzz5rfG73wG+GQ4bAd99BdHTWzd2lSxcuXLjA5MmTjQaTicjatfHevRu/xx4j7H//gzJljMO6n38Ovr7QqhX8+GPSorYi8kjJcXVe16xZQ9u2bVmwYAGBgYGJ7S1atODw4cOcPXsWe/vkf/G7fPmyxTkLgPPnz+Pt7c2LL77IzJkzE9sDAgK4evUqf2XypgLVeRVJWc6r8+qFr+8EG9V5tc7cIiIZZTYblW0SHD1qrNSCcVnwK6/Aa68Zlz1ltYMHD9K6dWucnJw4efIkdmYzrFlD+OjReOzZgynh11UvL3j1VejTB4oXz/pARMQm0ppT5bjktW/fvixatIjr169bXL++cOFCunbtyq5du3jyySfT9Zrly5enQoUKrF+/PrFNyauIdcTHxxAaOpXIyBBcXX0oVap/siuuyYmLiyQkZBh37hzHza0CPj7jUlxxTY7ZHEd4+A5iYi7g5FQCT8/GVlv1tOXcIiJZ4ZNP4N13LdsSzs8OHAhPPWWZ7GZWbGwsZ86cwcfHuA/BbDZTtWpVYo4eZV3Hjvhs3QphYUZnBwejdmz//tC4cdYGIiJWl9acKsdtG/7rr7+oUqWKReIKUL169cTn6XHy5EnOnDmDn59fkmchISEULFgQBwcHfHx8GDFiBJGRydeOTBAdHc3NmzctPkQkZcYW4iFUrDgZL68haU5cwdhCXLHiFPz911Ox4pR0Ja5gbOMtUCCAYsUCKVAgwKrJoy3nFhHJCu+8Azt3wgsvGLkiGLt2ly0zbiiuXh2mTzduLs4KCb+PJbhx4waenp784+xM4W++gX/+gblziahe3bgaefFiI4OuVs04yKvfyUTyvByXvIaFhVGwYMEk7QltYQl/45YGsbGx9OnTB3d3d9544w2LZ40aNeKLL75g2bJl/Pjjj7Rp04bPPvuMVq1aER8fn+Jrjh49Gg8Pj8QPLy+vNMcjIiIikluYTNCwISxaBGfOwMiRljt1//rL2EbctWv2zO/p6cmuXbs4c+YMHh4e4OICPXrQo3x5/IEDtWuDm5txhfLAgVCypBHQwYPZE5CI2FyOS17BuJkuI8/uZzab6dOnDzt27GDu3LlJksyPP/6Yfv360bRpU9q0acPkyZMZM2YM27dvZ+XKpOfsEgQFBXHjxo3Ej3PnzqXtTYmIiIjkUiVLwqhRRhK7YAHcf4KrVy/LvvHxxkdWuf8+E7PZTJEiRTiRLx9Os2bB+fMwaRLRPj7GEvD06eDvb2Td8+dn7U1TImJzOS55LVSoULKrq9euXQNIdlX2QWazmZdffpl58+Yxe/Zs2rVL/ebSBN27dwdgz549KfZxdnYmf/78Fh8iIiIijwInJwgMhF27YP9+eOMN46bi+61fb5Tg+b//g/DwrJ3fZDLx9ddfc/nyZapWrZp4bfJ7HToQAPxSurSxx3n3buje3bhd6u23s76ArYjYRI5LXqtVq8bRo0eJjY21aD906BCA8T+qVCQkrrNmzWLmzJmJCWl62D14T7yIjZnNcVy/vpVLlxZy/fpWzGbrlQqIj4/h3LkJ/P33IM6dm0B8fEy6xsfGRnDoUAd+/bU6hw51IDY2Is1jo6IusmtXcbZudWHXruJERV1M19zR0Vf45ZdybNvmzi+/lCM6+kqax969e4MDBxqxe3cZDhxoxN27N9I1ty2/Z7acW0QeHU88AV98YVzidL/Jk43SrEOHGqVaX30V/v01Lsu4ublZfO5drhyhvr5cnDQJzp6FDz8kvlQpuHoVxo4FHx9o2xZWr1a5HZFcLMfdNrx27VratGnDokWLeOGFFxLbW7duzZ9//plqqRyz2Uzfvn359ttvmT59On379k3X3J999hlvvfUWP/zwQ5pXa3XbsGS35MuulMbXd2K2l13JTKkbgN9+q0tExL4k7e7udahd+9dUx27fno/4+DtJ2u3s3GjS5OG3g+zY4UlcXNKE097eg8aNw1Mdu2ePL1FRIUnaXVx8qF//xEPntuX3zJZzi4jcvQvPPGPUjn3QU08ZR1Pbt793AVRWMpvNmM3mxEWIb6ZPZ9VrrzEsXz4a3n+rVNmyxtnY3r3hgRKLImIbubZUDhg1XX/77TfGjh2Lr68vCxcuZMaMGcybN49u3boB0KdPH+bMmUNISAhly5YFYNCgQUyZMoXevXsnSVydnZ2pWbMmADt27OCTTz6hQ4cOlC9fnqioKNauXcvXX3/NU089xYYNG9K8+qrkVbLTlSvLOXy4E/Dgf6bG2W8/v6XZlpAYieu4FJ97eQ1LNYFNKXFNkFoCm1LimuBhCWxKiWuC1BLYlBLXBA9LYG35PbPl3CIi9zt6FKZOhdmzIeKBDTelSxu546uvQuHC2RfD5s2b+fzzz2nevDn/++9/4auvMM+ahen6dQDMTk6YOnUyyu08+aTK7YjYUK5OXiMiIhgxYgRLlizh2rVrVK5cmaCgILp06ZLYp2fPnsyZM4dTp07h7e0NgLe3N2fOnEn2NcuWLcvp06cBOHHiBIMHD+bgwYNcvXoVk8lEhQoV6NKlC//73/9wdnZOc6xKXiW7mM1x7NnjbbGCZsmEs3Np6tc/leVlWOLjY9i+3Q3LFdcH2dOkyZ1kS9/Exkawc+djD52nUaNbODi4W7RFRV1kz54SDx1bv/4FXFySFqg3tgo//G/SGzS4jLNzEYu2u3dvsGuX50PHNmwYjqOjR5J2W37PbDm3iEhKbt6EuXNhyhQ4dszy2R9/QI0a1o1n54YNzGzRgkF2dtS6/1apatWMJLZbN3js4X9+iUjWytXJa26i5FWyy/XrWzl4sOlD+9WosYUCBQKydO5z5yYQEvLGQ/v5+PwfXl5DkrQfOtSBsLAfHjq+UKH2VKu2wqJt167i3L176aFjHR2L0bBh0jOwxtnW0w8d7+zsTYMGlhd4HDjQiJs3dz10bP78DXniiZ1J2m35PbPl3CIiD2M2w8aNRhK7ahU0agTbt1v2OXbM2NHr4pJ9cYSEhDBp0iScnZ357PnnYdo0WLgQIiONOB97DFOPHtCvHzzknhURyTppzal0M5FIDhUTcyFL+6VHZGTK22bT0i8z4+/eDU/T2JT6xcSk7VKm5PpFRZ1N09iU+tnye2bLuUVEHsZkgqefhpUrjcucJk2yfG42G2dhvbzgnXcguyoR+vj4MHHiRD777DOoXRu++YbQX3/lDeAYYLp1y9jvXK0aNGliFLmNSd9FhSKSfZS8iuRQTk4P3zqbnn7p4erqk6l+mRnv6OiZprEp9XNyKpJse1r6ubiUSdPYlPrZ8ntmy7lFRNKjXDmjFOv9Nm2C4GDjcuDRo8HbG557DrZsMRLb7OTu5UX5SZOY8OqrxvJwx47GFco7dkBgILElS8KIEcYtxiJiU9o2nEnaNizZ5d4ZxlCSXsADOvOak8+8Wv97Zsu5RUQy66+/4NNP4fvv4YFqifj5GbcUd+8O7u7Jj89q0SdPMsHPj+5RUZRKaLSzM8rt9O8PLVoYn4tIltC2YZFczmSyx9d3YsJnDz4FwNd3QrYkInZ2Tnh5DU21j5fX0GQTVwAHB3fc3eukOt7dvU6SxBXAxaU4dnZuyYy4Pz63ZBNXAGfnItjbJ00s72dv75EkcQVwdPTAxSX1VWMXF59kE1ew7ffMlnOLiGRW1aqwYIGxuDlqFBS/73/xhw8bR1BLl4agIOvE41C2LDVWrOCTl18mbskSaNYM4uONA7utW3OndGkYN85YKhYRq9HKayZp5VWyW/J1O73w9Z2gOq+pyHl1Xq3zPbPl3CIiWSUmBpYvNy542nXfPXovvWSU37GJ4GAWNGlCmytX8Exoc3bG3Lkz9O+PqX59ldsRySDdNmwlSl7FGszmOMLDdxATcwEnpxJ4eja22gpafHwMoaFTiYwMwdXVh1Kl+qe44pqc2NgIjh7tkTi+SpXvkl1xTU5U1EX27/fn7t1wHB09qVXrjxRXXJMTHX2FAwfqEhNzBSenIjzxxK/Jrrgm5+7dGxw61JaoqLO4uJShWrXVKa64JseW3zNbzi0iktV+/91IYhcsMI6h1q5979nt2zBjhpHUFiiQ/bEcP36chTNnMrRkSdznzoUDBxKfXS5dmqLvvw9du0K+fNkfjEgeouTVSpS8ioiIiGS/8HDw9LRsmzEDXnkFXF2NM7EDB0L16lYKyGyGffvYERhInZMnSazwkz8/vPQSUb164VKzppWCEcndlLxaiZJXEREREdvw94eDBy3bmjQxktj27cHRMftjiIiIYPXcuQScPk2x5cuNWkD/Olq8OJUmTMCuY0frBCOSSyl5tRIlryIiIiK2ERxslGWdPRtu3bJ8VqoUvPYa9O0LxYpZKaD4eNi4keNDh1L+8GESD2yUKAEvv8y1Tp0oaLWlYZHcQ8mrlSh5FREREbGtW7dg7lzjbGxwsOUzR0dYuNCoG2stZrOZAytXUvzHHym1Zg1cugRALLCzYEH8v/oKz+eeU7kdkX8pebUSJa+SG+TWC3wye1lUZseLiEjuYjbD5s1GEvvjj8ZCqIMDnDkDJUvaKKiYGPjhB65/8gkF/vzzXnuFCvDaa5xp2pRS1arh4OBgowBFbE/Jq5UoeZWcLvnSKaXx9Z2Yo0unZLZMT2bHi4hI7nb6NHz1lbEq++WXls/GjYNr14z6sWXKWC+mK1u3EvfllxT/+We4eROAKJOJH1xcqD5tGo+/9JL1ghHJQZS8WomSV8nJrlxZzuHDnYAH/zM36tD5+S3NkQmskXiOS/G5l9ewVBPQzI4XEZG8KyoKvLzg6lVj1267dsYFT02bWrFMa0QELFhAzMSJOB05cq+9dm3o148TtWvjUaIERYqkrbybSG6n5NVKlLxKTmU2x7Fnj7fFiqslE87Opalf/1SO2kIcHx/D9u1uWK6YPsieJk3uJLsFOLPjRUQkb9u+Hf7zH7h717L98ceNJLZHD3BPWznyzDObubtjBzfHjqXQxo3GFmMgwtGRb2JjKTNmDB2GD7dSMCK2k9acSqfERfKo8PAdqSSuAGaio88RHr7DajGlRWjoVFJPPAHi/u2X9eNFRCRva9IEzp6FDz4wLgFOcOQI9O9v3FI8eDD8/bcVgjGZcGzShEKrV8M//8DYsZjLlcP97l0Gm810eOstePppWL6c0ydO8Ntvv6F1J3mUKXkVyaNiYi5kaT9riYwMeXinVPpldryIiOR9xYvD++8bFzktXgyNGt17dvMmTJpktD24OputihSB4cMxHT8Oq1dzO2Ef88aN8NxzeNasyY916jCyb18rBiWSsyh5FcmjnJxKPLxTOvpZi6urT6b6ZXa8iIg8Ohwd4fnnYccO+P13ePllcHU1nr38svH8fpGRVgjK3h7atCHf5s1w8iQEBUGRInhGRPAhMGrWLOjcGTZv5vq1ayxatIhIqwQmYns685pJOvMqOdW9M6+hJL2wCXTmVWdeRUQkqWvX4NtvjaT2/puIL1yAypWN9oEDoUYNKwYVHQ3LlxM7eTIOv/yS2Hy9eHFGXrzI8fr1WXtfu0huozOvIo84k8keX9+JCZ89+BQAX98JOSpxBbCzc8LLa2iqfby8hqaYeGZ2vIiIPNoKFoQ330xaQmf6dGNL8cyZ4O9vnJ1dssRKW4udnSEwEIfdu+HPP40aP+7uFLh4kUnAjwcOQN++cOAA8fHxjB8/njNnzlghMBHrUvIqkocVKdIRP7+lODuXsmh3di6dY8vkAPj4fIaX1zDgwcTaPk1lbjI7XkRE5EH29vDYY/c+37EDXngBvL3ho4/g4kUrBVKtGkydCufPw9SpmKtWxTEmxsiqa9Xilp8ff775Jg38/blr1UO7ItlP24YzSduGJTcwm+MID99BTMwFnJxK4OnZOMetuCYnPj6G0NCpREaG4OrqQ6lS/dO1YprZ8SIiIve7dQvmzYMpU4zbie/n6GgcRX3zTahZ04pBmc2wa5eR0C5dmrgUHOHsjPugQfDaa+Djw+jRo6lXrx4BAQHY2Wn9SnIW1Xm1EiWvIiIiIo8Wsxm2boXJk2HlSoiPv/dsxgzjsiebuHTJOLD71VdGPaB/RTZpQpft21kNnDxzhjIP7okWsTElr1ai5FVERETk0XX2rJErzpgBsbEQGgpubveenzoFdnZQtqwVg4qLg7VrjdXYdeuMbBu44upKkREjoE8fKF6c8ePH4+7uzgsvvICnp6cVAxSxpOTVSpS8ioiIiEhUFPz1F9Subdn+0kvGVuP//te4pbhZM6N8q9WcPGncNvXNNxAWZrQ5OBDbvj3t1q5lze3bbNq0iWbNmlkxKBFLSl6tRMmriIiIiCTnyhUoXRpiYu61Va5sJLEvvmh5AVS2i4oyzsROnQr3ldU54+6O16efYvfii+DhwTfffMPRo0fp27cvlSpVsmKA8ijL1aVyIiIiGDJkCCVLlsTFxQV/f38WLVqUprGXL1+mZ8+eFC5cGDc3Nxo0aMCmTZuS7btx40YaNGiAm5sbhQsXpmfPnly+fDkr34qIiIiIPKIcHeHdd6FkyXttwcFG8lqqFAwaZHxuFS4u0L077N4Nv/8Or7wCbm6UjYjA7vXXoVQpzK++ytoxYxg/fjxbtmyxUmAiaZcjk9eOHTsyZ84cRo4cydq1a6lTpw6BgYEsWLAg1XHR0dE0b96cTZs2MXHiRFauXEmxYsVo1aoV27Zts+i7bds2WrduTbFixVi5ciUTJ05k48aNNG/enOjo6Ox8eyIiIiLyCPD0hPfeg9OnjZqwTZrce3brlnFrcZUq0KIFXLtmxcD8/Y2txOfPw6RJRhC3b2P6+muWnjjB0UKF6GFnB//+TrxmzRratWvHunXrrBikSFI5btvwmjVraNu2LQsWLCAwMDCxvUWLFhw+fJizZ89ib598iY+pU6cyYMAAdu/eTYMGDQCIjY2lRo0auLu7s3fv3sS+devW5fbt2xw8eBAHBwcAdu/eTcOGDZk6dSr9+vVLU7zaNiwiIiIiafXnn/Dll/DddxAZabRVrmyU3rHqWdj7mc2wbRtMmwbLlxs3TwEULgx9+tDvjz/4av16hg4dyvjx4+8bZsZks6AlL8m124ZXrFiBu7s7nTt3tmjv1asX58+ft0hAkxtbqVKlxMQVwMHBge7du/Prr78SGhoKQGhoKPv27aNHjx6JiSvAk08+ScWKFVmxYkUWvysREREREahe3Vj0DA2F8eOhfHljG/GDOeCYMfDHH1YKymSCgABYvNi4Pvmjj4zDulevwtixTP35Z46UL8/rPj7GTcZAcHAwVatW5f/+7/+sFKRIDkxe//rrL6pUqWKRVAJUr1498XlqYxP6JTf28OHDFq+RUt/U5hARERERyawCBWDoUDh+HPr2tXx28CAEBUHNmtCoESxaZHnpU7YqUcI4qHvqFKxYAS1aYDKbqXLyJGUHDAAfHxgzhmXTpnHkyBE2b95sMTzu3+RWJDs4PLyLdYWFhVG+fPkk7QULFkx8ntrYhH6pjU34Z0p9U5sjOjra4kzsjRs3AGOpW0REREQkI6Ki7v37lCn3/n3XLuOjWDHo1cv4KF7cSkE1a2Z8hITAt98aNX/OnIGgIAY6ONCmVi0iGjfm5o0bYDJx69YtatWqRcuWLRkzZgz58uWzUqCS2yXkUg870Zrjklcg1b3zD9tXn56xKfVN7TVGjx7NBx98kKTdy8sr1bhERERERDLq0iVjK/GYMbaO5F+xsbB/v/Hx1lsWj+bOncvcuXNtFJjkZrdu3cLDwyPF5zkueS1UqFCyK5/X/r2CLbnV0vSOLVSoEJD8Ku61a9dSnSMoKIihQ4cmfh4eHk7ZsmU5e/Zsql9okcy6efMmXl5enDt3TpeDSbbSz5pYi37WxFr0sybWop+1jDGbzdy6dYuS99eVSkaOS16rVavGwoULiY2NtTj3eujQIQCqVq2a6tiEfvd7cGzCPw8dOkSbNm2S9E1tDmdnZ5ydnZO0e3h46AdUrCJ//vz6WROr0M+aWIt+1sRa9LMm1qKftfRLy0JgjruwqUOHDkRERLBs2TKL9jlz5lCyZEnq1auX6tjg4GCLG4ljY2OZN28e9erVS8zkS5UqRd26dZk3b57FofI9e/Zw7NgxOnbsmMXvSkRERERERDIjxyWvrVu35umnn6Zfv37MmDGDLVu28Morr7Bu3To+++yzxBqvffr0wcHBgTNnziSO7d27N35+fnTu3JkFCxawceNGnn/+eY4dO8bYsWMt5hk7dizBwcF07tyZjRs3smDBAp5//nmqVq1Kr169rPqeRUREREREJHU5LnkFWL58OT169OD999+nVatW7N27l4ULF9KtW7fEPnFxccTFxVncSOXs7MymTZto2rQpgwYN4tlnn+XChQusXbuWp556ymKOgIAA1qxZw4ULF3j22WcZNGgQTZs2ZdOmTcluC06Js7MzI0eOTNcYkYzQz5pYi37WxFr0sybWop81sRb9rGUvk/lh9xGLiIiIiIiI2FiOXHkVERERERERuZ+SVxEREREREcnxlLyKiIiIiIhIjqfkNYMiIiIYMmQIJUuWxMXFBX9/fxYtWmTrsCQPunXrFsOHD6dFixYUKVIEk8nEqFGjbB2W5DGbN2+md+/eVK5cmXz58lGqVCnatWvH/v37bR2a5DF//PEHbdu2pUyZMri6ulKwYEEaNGjAvHnzbB2aPAJmzpyJyWTC3d3d1qFIHrJ161ZMJlOyH3v27LF1eHmKg60DyK06duzIvn37GDNmDBUrVmTBggUEBgYSHx9P165dbR2e5CFhYWF8/fXX1KhRg/bt2zNz5kxbhyR50LRp0wgLC2Pw4ME8/vjjXLlyhfHjx1O/fn3Wr19Ps2bNbB2i5BHh4eF4eXkRGBhIqVKluH37NvPnz6dHjx6cPn2ad99919YhSh4VGhrKm2++ScmSJblx44atw5E86NNPP6Vp06YWbVWrVrVRNHmTbhvOgDVr1tC2bdvEhDVBixYtOHz4MGfPnk2sRyuSWQn/iZpMJq5evUqRIkUYOXKkVl8lS12+fJmiRYtatEVERODr60vVqlXZuHGjjSKTR0X9+vU5f/48Z8+etXUokkc9++yzmEwmChYsyNKlS4mIiLB1SJJHbN26laZNm/L999/TqVMnW4eTp2nbcAasWLECd3d3OnfubNHeq1cvzp8/z969e20UmeRFCdtORLLTg4krgLu7O48//jjnzp2zQUTyqClcuDAODtoQJtlj3rx5bNu2jalTp9o6FBHJBCWvGfDXX39RpUqVJH/IVq9ePfG5iEhud+PGDQ4cOICfn5+tQ5E8KD4+ntjYWK5cucLUqVNZv349b731lq3Dkjzo8uXLDBkyhDFjxlC6dGlbhyN52IABA3BwcCB//vy0bNmSnTt32jqkPEd/xZkBYWFhlC9fPkl7wYIFE5+LiOR2AwYM4Pbt24wYMcLWoUge1L9/f6ZPnw6Ak5MTkyZN4tVXX7VxVJIX9e/fn0qVKtGvXz9bhyJ5lIeHB4MHDyYgIIBChQpx4sQJxo0bR0BAAKtXr6Zly5a2DjHPUPKaQalt49QWTxHJ7d577z3mz5/P5MmTqVWrlq3DkTzonXfe4eWXX+by5cusWrWKgQMHcvv2bd58801bhyZ5yLJly1i1ahW///67fj+TbFOzZk1q1qyZ+Hnjxo3p0KED1apVY/jw4Upes5CS1wwoVKhQsqur165dA+6twIqI5EYffPABH3/8MZ988gkDBw60dTiSR5UpU4YyZcoA0KZNGwCCgoJ46aWXKFKkiC1DkzwiIiKCAQMGMGjQIEqWLEl4eDgAMTExgHHztaOjI/ny5bNhlJJXeXp68swzz/DVV18RGRmJq6urrUPKE3TmNQOqVavG0aNHiY2NtWg/dOgQoCuxRST3+uCDDxg1ahSjRo3inXfesXU48gipW7cusbGxnDx50tahSB5x9epVLl26xPjx4ylQoEDix8KFC7l9+zYFChSgW7dutg5T8rD7K0ZI1tDKawZ06NCBGTNmsGzZMl544YXE9jlz5lCyZEnq1atnw+hERDLmo48+YtSoUbz77ruMHDnS1uHII2bLli3Y2dkle6eESEYUL16cLVu2JGkfM2YM27ZtY+3atRQuXNgGkcmj4Pr16/z000/4+/vj4uJi63DyDCWvGdC6dWuefvpp+vXrx82bN/H19WXhwoWsW7eOefPmqcarZLm1a9dy+/Ztbt26BcCRI0dYunQpYGy3c3Nzs2V4kgeMHz+e999/n1atWtG2bVv27Nlj8bx+/fo2ikzymldeeYX8+fNTt25dihUrxtWrV/n+++9ZvHgxw4YN05ZhyTIuLi4EBAQkaZ89ezb29vbJPhPJiK5du1KmTBlq165N4cKFOX78OOPHj+fSpUvMnj3b1uHlKSZzwnq2pEtERAQjRoxgyZIlXLt2jcqVKxMUFESXLl1sHZrkQd7e3pw5cybZZ6dOncLb29u6AUmeExAQwLZt21J8rj8qJKvMmjWLWbNmcfToUcLDw3F3d6dGjRq8/PLLdO/e3dbhySOgZ8+eLF26lIiICFuHInnEmDFjWLx4MadOnSIiIoKCBQvSqFEjgoKCqFOnjq3Dy1OUvIqIiIiIiEiOpwubREREREREJMdT8ioiIiIiIiI5npJXERERERERyfGUvIqIiIiIiEiOp+RVREREREREcjwlryIiIiIiIpLjKXkVERERERGRHE/Jq4iISC4SEBCAyWRKU9/Tp09jMpno2bNn9gaVzUaNGoXJZGLr1q22DkVERGxIyauIiDzyEpK8+z+cnJzw8vKia9eu/Pnnnxl+7dmzZ2MymZg9e3bWBZzH5JUkW0REspeDrQMQERHJKXx8fOjevTsAERER7Nmzh4ULF7J8+XI2b97Mk08+aeMIRUREHl1KXkVERP7l6+vLqFGjLNreffddPvnkE0aMGMGWLVtsE5iIiIho27CIiEhqBg0aBMC+ffss2leuXEnz5s0pUKAALi4uVK1alc8//5y4uLjEPj179qRXr14A9OrVy2JbcoL9+/czcOBAqlatioeHB66urlSrVo0xY8Zw9+7dbHtft27dYuTIkfj5+eHq6oqnpyetWrVi586dSfomnLONjY3lo48+oly5cjg7O1OxYkWmTp2a7OtfvXqVV155haJFi+Lm5kadOnVYsWJFkm3Us2fPply5cgDMmTPH4muU3BnXJUuW8MQTT+Dq6kqJEiV4/fXXiYyMzLKvi4iI5FxaeRUREUlFcpcjvfPOO4wePZrSpUvz3HPPkT9/frZv386wYcPYu3cv33//PQDt27cnPDyclStX0q5dO/z9/ZO81owZM1i1ahVNmjShTZs23Llzh61btxIUFMS+fftYtmxZlr+na9eu0aRJEw4fPkzjxo1p2bIlN27cYOXKlTRt2pTvv/+e9u3bJxkXGBjI3r17ad26Nfb29ixZsoQBAwbg6OhI3759E/tFRETw1FNPceTIERo1akSjRo0IDQ0lMDCQFi1aWLymv78/gwcPZuLEidSoUcNiXm9vb4u+X375JWvXrqVdu3YEBASwbt06Jk+eTFhYGPPnz8/KL5GIiOREZhERkUfcqVOnzIC5ZcuWSZ6NGDHCDJgDAgLMZrPZ/PPPP5sBc+vWrc23b99O7BcfH29+7bXXzIB56dKlie2zZs0yA+ZZs2YlO/fp06fNsbGxFm3x8fHm3r17mwHzzp07LZ499dRT5rT+8Z3wvl566SWL9q5du5oB87fffmvRfvHiRbOXl5e5SJEi5sjIyCRz1qtXz3zjxo3E9uDgYLODg4O5UqVKFq/z7rvvmgHzgAEDLNq3bNliBpJ8PVKKM8HIkSPNgNnDw8McHByc2H7nzh1zxYoVzSaTyRwaGpqWL4mIiORi2jYsIiLyrxMnTjBq1ChGjRrFm2++SaNGjfjkk09wcXHh008/BWDKlCkATJ8+HTc3t8SxJpOJMWPGYDKZWLhwYZrnLFu2LPb29hZtJpOJAQMGALBx48bMvi0LV69eZfHixTRv3jxxS3OCYsWKMWzYMK5cuZLsvKNHjyZ//vyJn1eqVImGDRty7Ngxbt26ldg+b948nJ2dGTlypMX4gIAAWrZsmeHYBw8eTKVKlRI/d3V1JTAwELPZzP79+zP8uiIikjto27CIiMi/QkJC+OCDDwBwdHSkWLFidO3albfffptq1aoBsGfPHvLly8c333yT7Gu4uroSHByc5jljYmKYMmUKixYtIjg4mIiICMxmc+Lz8+fPZ+IdJbVv3z7i4uKIiopKcjkVwPHjxwEIDg7mmWeesXj2xBNPJOlfunRpAMLDw3nssce4efMmp0+fxs/PjyJFiiTp/+STT7J+/foMxf6w+UVEJG9T8ioiIvKvli1bsm7dulT7XLt2jdjY2MQkNzm3b99O85ydOnVi1apVVKxYkRdeeIGiRYvi6OhIeHg4EydOJDo6Os2vlRbXrl0DYNeuXezatSvFfsm9Bw8PjyRtDg7GrxIJF1XdvHkTINnEFYzV3YxKy/wiIpJ3KXkVERFJh/z582Mymbh69WqmX2vfvn2sWrWKli1bsnr1aovtw3v27GHixImZnuNBCdt+//e///H5559n2+tfuXIl2eeXLl3K8jlFROTRoDOvIiIi6VCvXj3CwsISt9c+TEJCmtzKYEhICABt27ZNcu51x44dmYw0eXXq1MFkMvHLL79ky+vnz58fb29vTpw4kWwCu3v37iRtqX2NREREEih5FRERSYfXX38dgN69exMWFpbk+cWLFzl69Gji5wULFgTgn3/+SdK3bNmyAElqqx4+fJjRo0dnWcz3K168OM8//zy7d+9m3LhxFudrE+zdu5c7d+5keI5u3boRHR2dZGv11q1bkz3vWqBAAUwmU7JfIxERkQTaNiwiIpIOrVq14r333uOjjz7C19eXVq1aUbZsWcLCwjhx4gQ7duzg448/pkqVKgA0aNAAV1dXJkyYwM2bNxPPgr799tvUrVuXunXrsmTJEi5cuED9+vU5e/YsP/74I23btmXp0qXZ8h6mTp3KsWPHGD58ON999x0NGjTAw8ODc+fOsX//fo4fP86FCxcsblNOj7feeotly5bx5Zdf8ueff9KoUSP++ecflixZwrPPPsuqVauws7v39+fu7u7UqVOH7du306tXLypUqICdnR1du3alTJkyWfW2RUQkl1PyKiIikk4ffvghTZo0YdKkSWzatInw8HAKFSpEuXLlGDVqFN26dUvsW7BgQZYuXcqoUaOYNm0akZGRgJG82tvb89NPP/H222+zbt069u3bR4UKFfj8889p3bp1tiWvBQsWZPfu3UyZMoXFixczf/584uPjKV68ODVq1OC9996jcOHCGX79xx57jO3btxMUFMTKlSvZt28ffn5+LFy4kJMnT7Jq1SqLkjsA3333HW+88QY//PADN27cwGw2U79+fSWvIiKSyGRObr+QiIiISDbo3r078+fP58iRI4mr0yIiImmhM68iIiKS5S5cuJCkbdu2bSxatIhKlSopcRURkXTTtmERERHJcm3atMHV1RV/f3/y5cvHkSNHWLduHfb29kyePNnW4YmISC6kbcMiIiKS5SZMmMD8+fMJCQnh1q1beHp60rBhQ4KCgqhXr56twxMRkVxIyauIiIiIiIjkeDrzKiIiIiIiIjmeklcRERERERHJ8ZS8ioiIiIiISI6n5FVERERERERyPCWvIiIiIiIikuMpeRUREREREZEcT8mriIiIiIiI5HhKXkVERERERCTHU/IqIiIiIiIiOd7/A0NK6bq0KKGFAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter5_1_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1194,16 +1193,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter5_109_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1476,16 +1474,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter5_129_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
@@ -1499,46 +1496,43 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter5_129_2.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter5_129_3.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter5_129_4.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
@@ -1552,16 +1546,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter5_129_6.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1820,7 +1813,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mcvxopt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "Input \u001b[0;32mIn [4]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mcvxopt\u001b[39;00m\n",
       "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'cvxopt'"
      ]
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter5_109_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter5_109_0.png
index 569dd00ae..4e06450f3 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter5_109_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter5_109_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_0.png
index e9ebfd7a9..2b3dca701 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_2.png b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_2.png
index a8256c580..7a9c8ee0e 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_2.png and b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_2.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_3.png b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_3.png
index 96cd47c3e..0fc11fa31 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_3.png and b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_3.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_4.png b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_4.png
index 6055574a4..e3da208e6 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_4.png and b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_4.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_6.png b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_6.png
index af6b6fb2b..298f5f34b 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter5_129_6.png and b/doc/LectureNotes/_build/jupyter_execute/chapter5_129_6.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter5_1_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter5_1_1.png
index bcdce0fad..d37963eea 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter5_1_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter5_1_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter6.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter6.ipynb
index 58849498c..1e59edd55 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter6.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter6.ipynb
@@ -86,38 +86,36 @@
      "output_type": "stream",
      "text": [
       "2nd degree coefficients:\n",
-      "zero power:  3.975510299261579\n",
-      "first power:  -0.12345260617257443\n",
-      "second power:  -0.0003043256065368937\n"
+      "zero power:  0.18790439176058887\n",
+      "first power:  -0.014599964106338128\n",
+      "second power:  0.00010403373827253124\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjUAAAHFCAYAAAAKbwgcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAAC+bklEQVR4nOydd3wU1fqHn81uyqY3QgtIIIh0pFlQEVGaIqhXsKGI5Spggfuz4LXrFfViL3gRxY6gYkGpUi2AiNJ7Dx3SyybZMr8/hhlmN7ub3c3W5Dx89kN26tk5c8585z3nfV+dJEkSAoFAIBAIBBFOVKgLIBAIBAKBQOAPhKgRCAQCgUBQLxCiRiAQCAQCQb1AiBqBQCAQCAT1AiFqBAKBQCAQ1AuEqBEIBAKBQFAvEKJGIBAIBAJBvUCIGoFAIBAIBPUCIWoEAoFAIBDUC4SoEQgCxEcffYROp1M/BoOB7Oxsbr/9dg4fPuz18S699FIuvfRS/xc0BCxfvhydTsfy5csDtq+ynfLR6/U0atSIoUOH8ueff/pW8AhEuQ/3798f6qIIBAHHEOoCCAT1nRkzZnDOOedgMplYuXIlkydPZsWKFWzatImEhIRQFy8kdO/enVWrVtGhQ4eAn+uFF16gX79+mM1m/v77b5555hn69u3L+vXradu2bcDPH2quvPJKVq1aRdOmTUNdFIEg4AhRIxAEmE6dOtGzZ08A+vXrh9Vq5bnnnuO7777j5ptvDnHpQkNycjLnn39+UM7Vtm1b9VwXX3wxqamp3HbbbXz22Wc888wzQSmDQkVFBfHx8UE9Z6NGjWjUqFFQzykQhAox/CQQBBnlAXvgwAEAKisrmTRpEjk5OcTExNC8eXPGjRtHUVGRy2NIkkTbtm0ZOHBgjXVlZWWkpKQwbtw44MwwzMyZM/n3v/9Ns2bNSE5O5vLLL2fHjh019v/www/p2rUrcXFxpKenc80117Bt2za7bUaPHk1iYiLbt29n4MCBJCQk0LRpU1588UUAVq9ezUUXXURCQgJnn302H3/8sd3+zoaQ/vzzT2644QZatWqF0WikVatW3Hjjjep18heKwDx+/Ljd8l27dnHTTTeRlZVFbGws7du355133qmx/5YtWxgwYADx8fE0atSIcePG8dNPP9X4PZdeeimdOnVi5cqVXHjhhcTHxzNmzBgASkpK+L//+z+7On/wwQcpLy+3O9dXX33FeeedR0pKCvHx8bRu3Vo9BoDNZuP555+nXbt2GI1GUlNT6dKlC2+88Ya6javhJ2/qeffu3QwZMoTExERatGjBv/71L6qqqjy/6AJBkBCiRiAIMrt37wbkN2hJkhg+fDhTpkxh1KhR/PTTT0ycOJGPP/6Yyy67zOWDQ6fTcd9997F48WJ27dplt+6TTz6hpKREFTUKjz32GAcOHGD69OlMmzaNXbt2MXToUKxWq7rN5MmTueOOO+jYsSNz5szhjTfeYOPGjVxwwQU1zmM2m7n22mu58sor+f777xk8eDCTJk3iscce47bbbmPMmDF8++23tGvXjtGjR7Nu3Tq312X//v20a9eO119/nYULF/LSSy9x9OhRevXqxalTpzy+vrWxb98+AM4++2x12datW+nVqxebN2/mlVde4ccff+TKK6/k/vvvt7PmHD16lL59+7Jjxw6mTp3KJ598QmlpKePHj3d6rqNHj3LLLbdw0003MW/ePMaOHUtFRQV9+/bl448/5v7772f+/Pk88sgjfPTRR1x99dVIkgTAqlWrGDlyJK1bt+bLL7/kp59+4sknn8RisajHf/nll3n66ae58cYb+emnn5g1axZ33HGHW0EM3tfz1VdfTf/+/fn+++8ZM2YMr732Gi+99JJX110gCAqSQCAICDNmzJAAafXq1ZLZbJZKS0ulH3/8UWrUqJGUlJQkHTt2TFqwYIEESC+//LLdvrNmzZIAadq0aeqyvn37Sn379lW/l5SUSElJSdIDDzxgt2+HDh2kfv36qd+XLVsmAdKQIUPstps9e7YESKtWrZIkSZIKCwslo9FYY7uDBw9KsbGx0k033aQuu+222yRA+uabb9RlZrNZatSokQRIf/31l7o8Pz9f0uv10sSJE2uUadmyZS6vn8VikcrKyqSEhATpjTfe8Gpf7XazZs2SzGazVFFRIf32229Su3btpA4dOkiFhYXqtgMHDpSys7Ol4uJiu2OMHz9eiouLkwoKCiRJkqSHHnpI0ul00pYtW+y2GzhwYI0y9e3bVwKkJUuW2G07efJkKSoqSlq7dq3d8q+//loCpHnz5kmSJElTpkyRAKmoqMjlb7zqqqukbt26ub0Oyn24b98+SZJ8q+fZs2fbbTtkyBCpXbt2bs8rEIQCYakRCALM+eefT3R0NElJSVx11VU0adKE+fPn07hxY5YuXQrIZn4t119/PQkJCSxZssTlcZOSkrj99tv56KOP1GGLpUuXsnXrVqeWg6uvvtrue5cuXYAzw2CrVq3CZDLVKEuLFi247LLLapRFp9MxZMgQ9bvBYCA3N5emTZty7rnnqsvT09PJysqqdRiprKyMRx55hNzcXAwGAwaDgcTERMrLy2sMi3jDyJEjiY6OJj4+nj59+lBSUsJPP/1EamoqIA//LVmyhGuuuYb4+HgsFov6GTJkCJWVlaxevRqAFStW0KlTpxoTnG+88Uan505LS+Oyyy6zW/bjjz/SqVMnunXrZneugQMH2g1h9erVC4ARI0Ywe/Zspx5zvXv3ZsOGDYwdO5aFCxdSUlJS6/XwpZ6HDh1qt6xLly5+HxYUCPyBEDUCQYD55JNPWLt2LX///TdHjhxh48aN9OnTB4D8/HwMBkONiZw6nY4mTZqQn5/v9tj33XcfpaWlfP755wC8/fbbZGdnM2zYsBrbZmRk2H2PjY0FwGQyqWUBnHrJNGvWrEZZ4uPjiYuLs1sWExNDenp6jf1jYmKorKx0+1tuuukm3n77be68804WLlzIH3/8wdq1a2nUqJFaRl946aWXWLt2LStWrODf//43x48fZ/jw4erQXn5+PhaLhbfeeovo6Gi7jyLalOGv/Px8GjduXOMczpaB82t5/PhxNm7cWONcSUlJSJKknuuSSy7hu+++w2KxcOutt5KdnU2nTp2YOXOmeqxJkyYxZcoUVq9ezeDBg8nIyKB///5uXdb9Uc+xsbG11qdAEAqE95NAEGDat2+vTk51JCMjA4vFwsmTJ+2EjSRJHDt2TH1bd0Vubi6DBw/mnXfeYfDgwfzwww8888wz6PV6r8upiJ6jR4/WWHfkyBEyMzO9PqanFBcX8+OPP/LUU0/x6KOPqsurqqooKCio07Fbt26tXv9LLrkEo9HI448/zltvvcX//d//kZaWhl6vZ9SoUTXmISnk5OQA8jVynGAMcOzYMaf76XS6GssyMzMxGo18+OGHTvfRXudhw4YxbNgwqqqqWL16NZMnT+amm26iVatWXHDBBRgMBiZOnMjEiRMpKiri559/5rHHHmPgwIHk5eU59bQKZT0LBIFGWGoEghDSv39/AD777DO75d988w3l5eXqenc88MADbNy4kdtuuw29Xs9dd93lU1kuuOACjEZjjbIcOnSIpUuXelQWX9HpdEiSpFqPFKZPn243kdkfPPzww+Tm5vLiiy9SWlpKfHw8/fr14++//6ZLly707NmzxkcRAn379mXz5s1s3brV7phffvmlx+e/6qqr2LNnDxkZGU7P1apVqxr7xMbG0rdvX3Vy7t9//11jm9TUVP7xj38wbtw4CgoKXAbbC2U9CwSBRlhqBIIQcsUVVzBw4EAeeeQRSkpK6NOnDxs3buSpp57i3HPPZdSoUR4do0OHDixbtoxbbrmFrKwsn8qSmprKE088wWOPPcatt97KjTfeSH5+Ps888wxxcXE89dRTPh3XE5KTk7nkkkv473//S2ZmJq1atWLFihV88MEH6twXfxEdHc0LL7zAiBEjeOONN3j88cd54403uOiii7j44ou59957adWqFaWlpezevZu5c+eqc58efPBBPvzwQwYPHsyzzz5L48aN+eKLL9i+fTsAUVG1vyc++OCDfPPNN1xyySVMmDCBLl26YLPZOHjwIIsWLeJf//oX5513Hk8++SSHDh2if//+ZGdnU1RUxBtvvEF0dDR9+/YFYOjQoWocpEaNGnHgwAFef/11zjrrLJeBBUNZzwJBoBGWGoEghOh0Or777jsmTpzIjBkzGDJkiOrevXTp0hqWC1eMGDECwKVrsadMmjSJ6dOns2HDBoYPH8748ePp2LEjv//+e8Cj737xxRf069ePhx9+mGuvvZY///yTxYsXk5KS4vdzXX/99Zx33nm8+uqrFBcX06FDB/766y86derE448/zoABA7jjjjv4+uuv7SwXzZo1Y8WKFZx99tncc8893HzzzcTExPDss88CeCTAEhIS+OWXXxg9ejTTpk3jyiuvZMSIEbz55ptkZ2erlprzzjuPY8eO8cgjjzBgwADuvvtujEYjS5cupWPHjoAczHHlypXcc889XHHFFTz++OP079+fFStWEB0d7bIMoaxngSCQ6CTpdFAEgUAQsfTs2ROdTsfatWtDXZQGyd13383MmTPJz88nJiYm1MURCBosYvhJIIhQSkpK2Lx5Mz/++CPr1q3j22+/DXWRGgTPPvsszZo1o3Xr1pSVlfHjjz8yffp0Hn/8cSFoBIIQI0SNQBCh/PXXX/Tr14+MjAyeeuophg8fHuoiNQiio6P573//y6FDh7BYLLRt25ZXX32VBx54INRFEwgaPGL4SSAQCAQCQb1ATBQWCAQCgUBQLxCiRiAQCAQCQb1AiBqBQCAQCAT1ggY1Udhms3HkyBGSkpKchi8XCAQCgUAQfkiSRGlpKc2aNXMb5LJBiZojR47QokWLUBdDIBAIBAKBD+Tl5ZGdne1yfYMSNUlJSYB8UZKTk0NcGoFAIBAIBJ5QUlJCixYt1Oe4KxqUqFGGnJKTk4WoEQgEAoEgwqht6oiYKCwQCAQCgaBeIESNQCAQCASCeoEQNQKBQCAQCOoFQtQIBAKBQCCoFwhRIxAIBAKBoF4gRI1AIBAIBIJ6gRA1AoFAIBAI6gVC1AgEAoFAIKgXCFEjEAgEAoGgXiBEjUAgEAgEgnqBEDUCgUAgEAjqBULUCAQCgUAgqBcIUSMQCAQCgQsqzBWhLoLAC4SoEQgEAoHACR+v/5ikyUl8teWrUBdF4CFC1AgEAoFA4IRfD/6KTbLxW95voS6KwEOEqBEIBAKBwAkFlQXy/6aCEJdE4ClC1AgEAoFA4ARFzAhREzkIUSMQCAQCgROEqIk8hKgRCAQCgcAJQtREHkLUCAQCgUDgBEXMFFYWhrgkAk8RokYgEAgEAgeqLFVqjJoCUwGSJIW4RAJPEKJGIBAIBAIHtNYZi81CWXVZCEsj8BQhagQCgUAgcMBxHo2YVxMZCFEjEAgEAoEDQtREJkLUCAQCgUDggBA1kYkQNQKBQCAQOCBETWQiRI1AIBAIBA44ihjh1h0ZCFEjEAgEAoEDwlITmQhRIxAIBAKBA0LURCZC1AgEAoFA4IAy3NQovhEgRE2kIESNQCAQCAQOKCKmTXobu++C8EaIGoFAIBAIHFBETG56rt13QXgjRI1AIBAIBA6ooiZNiJpIQogagUAgEAgccLTUCJfuyECIGoFAIBAINFhtVooqiwAx/BRpRJSoOXz4MLfccgsZGRnEx8fTrVs31q1bF+piCQQCgaAeoQgaODNRuMJcQaWlMkQlEniKIdQF8JTCwkL69OlDv379mD9/PllZWezZs4fU1NRQF00gEAgE9QjFKpMUk0S6MZ0oXRQ2yUahqZCmSU1DXDqBOyJG1Lz00ku0aNGCGTNmqMtatWoVugIJBAKBoF6iiBpF0KTFpZFvyqfAVCBETZgTMcNPP/zwAz179uT6668nKyuLc889l/fffz/UxRIIBAJBPWJv4V6W7lsKQJoxDZDFDQR2Xo1NsrHp+CasNqvd8kMlhzhZfjJg561vRIyo2bt3L1OnTqVt27YsXLiQe+65h/vvv59PPvnE5T5VVVWUlJTYfQQCgUAgcMaJ8hO0f6c9jy19DIAMYwYQHFHzwV8f0OW9Lkz5fYq6rLy6nI7vdqTX+72QJClg565PRMzwk81mo2fPnrzwwgsAnHvuuWzZsoWpU6dy6623Ot1n8uTJPPPMM8EspkAgEAgilN0Fu6m2VhOrj6VL4y48cN4DwBlRE0i37i0ntwCw9dRWddmhkkOUVJVQUlWCyWIiPjo+YOevL0SMpaZp06Z06NDBbln79u05ePCgy30mTZpEcXGx+snLywt0MQUCgUAQoSiWmM6NO/PHXX8wtN1QIDiWGuXY2nO4+lvgmoix1PTp04cdO3bYLdu5cydnnXWWy31iY2OJjY0NdNEEAoFAUA/QThDWEi6iJjs5O2Dnry9EjKVmwoQJrF69mhdeeIHdu3fzxRdfMG3aNMaNGxfqogkEAoGgHhAOoqbQVFhjWaDPXZ+IGFHTq1cvvv32W2bOnEmnTp147rnneP3117n55ptDXTSBQCAQ1AMUQZEWl2a3XPkeSGGhzNfRnkM7h0crdgSuiZjhJ4CrrrqKq666KtTFEAgEAkE9JBwsNQWmAiRJQqfTCUuND0SMpUYgEAgEgkBSUBkaUSNJknpss81Mubm8xvmEqPEMIWoEAoFAIKB2S02gXLrLqsuw2Cw1yiFEjfcIUSMQCAQCAaEbfnI8rhA1viNEjUAgEAgE1C5qiiqLaqQx8Od5Hb/biZpKIWo8QYgagUAgEAhwLWqUHFAgC5tAnVdB8XQSlhrvEaJGIBAIBA0em2RTBYujS7chykBSTBIQGHHhOFfHmaVGuHR7hhA1AoFAIGjwlFSVYJNsgL1lRiGQ82qcDT/ZJJud2BGWGs8QokYgEAgEDR5FNMRHxxNniKuxPtiiprSqVBVZgTpvfUSIGoFAIBA0eFzNp1EItqhxXFZaXYrZavb7uesbQtQIBAKBoMHjqagJRKwa5dzNkprJ3yvPiJomiU3U7QIVJ6c+IUSNQCAQCBo84WCpyU3PBeRJwcqyRvGNSI1LDdi56xtC1AgEAoGgwRMWoiYtV/2uLU8wck/VF4SoEQgEAkGDx1WGboVACgtlWKlNehv1HM5EjXDrrp2IytItEAgEAkEgqM1So4idYAw/OYoaZwkuBc4RokYgEAgEDR5XGboVgjH81CZNttSUm8s5WnZUPW9ZdVnAzl3fEKJGIBAIBA2eUM2pqbRUUmGuACAnLQcdOiQk9hTuUc8rRI3niDk1AoFAIGjwhMqlW5knE6WLIjUuVY1mvKdAFjVpcWliorAXCFEjEAgEggaPN5YaSZL8ft60uDSidFHq3B2tpUY9t8jUXStC1AiCzsbjG3lrzVu8teYttp7cGuriCLxk+f7lbD6x2em6rSe3snTf0iCXSBAITGYTX235iuLK4lAXJSh4KmosNos6HOSMLSe2qP3bpuObACivLuerLV9RWlVa63mV/5UUCcKl2zvEnBpB0Bnw6QCOlx8H5Nn+u+7bFeISCTzlWNkx+n/Sn+zkbA48eKDG+qEzh7KvcB95E/Jontw8BCUU+Itp66bx4MIHmXTRJF7o/0KoixNQJEmq1aXbGG0kzhBHpaWSAlMBSbFJTre78osrOVAst43s5GzyJuTx9h9v8+iSR3nm0md4su+Tdtsrw1mKcGmc2NhufVZClur9JFy6a0eIGkFQMZlNqqAB2Fe4D0mS0Ol0ISyVwFPyivOwSTYOFh/EYrNgiDrThdgkG/uL9iMhcbD4oBA1Ec6+on12/9dnTBYTVdYqwLWlBmTBc7TsKAWmAs5KPavGeqvNqgoagEMlhzBbzW6vpaOl5qm+T5Eal4rZaqZDow50yupEcVWx3bYC1whRIwgqjo3SKlkprS4lOTY5RCUSeIO2/ooqi8iMz1S/l1SVqCZz0flGPkodNoS6VH6jIcpAYkyiy+3SjemqqHFGUWWR02XurqWjqOnZrCefXvNpjfO62l9gj5hTIwgqiqk1Mz6TWH2svEyYVCMGreeHY71pv4vEe5GPUocNoX1qhYU7q3Ft4kK5ZokxiaTEpqjburuW2onCrlDWFVYWqi8OAucIUSMIKiKfSWSjrSvHenO3ThB5NERLjbuhJ+16V6LdVf/mjaXGGYqbt02yUVJV4raMDR0hagRBRYiayEaImoaDEDU1qa3PCpSoiTPEER8d7/bcAhkhagRBRYiayEaImoaDUodFlUVYbdYQlyawBFPUOMa48de5BTJC1AiCihA1kY0QNQ0DSZLUOpSQVO+b+kogRc2J8hPqkFGVtQqTxRSQcwtkhKgRBBW1AccJUROJCFHTMCirLsNis6jf63t91hajRqG2TN3O+re9hXudbqOe2yFOjSvU+TwNYOJ2XRCiRhBUlAYpLDWRibauHCdLClFTf3BXt/WRQFhqFAG0u3C30238fW6BjIhTIwgqSu6SNGOaGrhNuP9GDm4tNZWuBY8gsnBnhauPKPduXYWF1uoSpZNtBrsLXIsaq82qxrZRPJxcUZuVSCAjRI0gqGjfSqKjou2WCcIfMfzUMKgxRFLPhzz87dKdZkxDr9MDcKDIPp2I9lpqg/XVNvQlLDWeIUSNIKgIURO5SJJk15m7e/AVmAqwSTb1bVUQWTQ4S00Ahp8UUWOVrE630f6dFJNEtD7as3OLTN1uEaJGEFSEqIlcKswVVFur1e/uHnw2yUZpVSkpcSlBK5/AfwhR4xxlfYW5gkpLJXGGOJfHUUSNq3N5c17tNvW9LuqKeI0SBBXh0h251Paga2gPwvpMQ6tLT8VFcmyyKlbcpTzQ9m+utvHmvNpt6ntd1BUhagRBw2KzqPEahKiJPJR6UoaUtIHEtHFNtOsFkUmNuqzHQx5mq5my6jKg9nktOp1OndDreH9r24AzUeOsXXjqzq3dpr7Pb6orQtQIgoZ2UlxqXKraSE0WEyazycVegnBB6YxbprQE5LkCysPAZDFRZa2yWy9ETeSiPDgbQl1q54mlxqXWur0rLyRtbJ90Y3oNbyb1WlYKS00gEaJGEDSUxpgcm4whymBvyhUuwGGPUn/Nk5qrcwkcc9oYogwN4kFY31EevLnpufL3elyXym9LjUtFH+V8HowWV+JC6cNi9bEYDUbiDHEYDUZ1vbNrqXpL1WIh0m7jLNWC4AxC1AiChuNbiU6nU9+MhEk1/HEWWMxR1KQb08kwZgBCqEYySn22SWtj970+4o21RLudqwCF6cZ0dDpdjWPmprkWNd5YapylWhCcQYgaQdBw1oCFSTVycDfJ253gEUQeSt0p1oX6/NLhq6jxJDKwnahxY6nx5NyJMYlqwFLRtlwjRI0gaAhRE9l4KmpEnUY+ziw19XXIw9+iRjuXRnvMNunytXSM5+TpuXU6nWhbHiBEjSBoCFET2Sjm9rS4tBr1pk0IKOo08nG01JhtZsrN5aEsUsAIlqVGEYil1aWYrWa/nltwhogVNZMnT0an0/Hggw+GuigCD1EbcJwQNZGIM2uMInSEpab+UGWposJcAUB2cjYx+hig/tanpxm6FbwRNdpjtk5rfeacp9uNNy7d2u3q83BgXYlIUbN27VqmTZtGly5dQl0UgRdoM3QriAdg5ODpRGFRp5GN8qDVoSMlLqXe16e31hJXc8bcvbQZDUYSYhJUxwhn7cYT6ntd+IOIEzVlZWXcfPPNvP/++6SleaasBeGBs0y4opFGDmJOTcNAOzckShdV7+vT0wzdCi5dut28tDn+r8xRcjYPxx1iEn7tRFzup3HjxnHllVdy+eWX8/zzz7vdtqqqiqqqKvV7SUlJoIsncIOzBqw20nocsTTS2XBsAx/+/SF7C/cC9sJl+f7ljPtpHEv3L62xTrh0Rx4fr/+YuTvnAs4fxLWx8sBK1h9bz32971PdmsMdv7l0u3lp0/6/t3AvBaaCGsH6vDm3Uubl+5fz9dav1UncUbooRnUdRe/mvdmZv5OvtnzF/efdT1JskkfHrw9ElKj58ssv+euvv1i7dq1H20+ePJlnnnkmwKUSeIq7iXRijDh8eWjxQyzeuxiQhySaJzfnePlxAPYU7uHdP99Vt81Ozq73b/b1lRPlJxj9/Wj1e3ZyNuCdqLl77t3syN/BxS0v5tym5waknP4mkBOFW6S0AJxfS2V7JVifL+e+84c72VO4x26btUfWsvrO1Tyz4hm+2PQFjRMbc2f3Oz06fn0gYkRNXl4eDzzwAIsWLSIuLq72HYBJkyYxceJE9XtJSQktWrQIVBEFtSC8nyKTo2VHAbi1660MazeMZknNyErIYuqVUzlaelTdrkliE65se6UaGKzSUonJbMIY7VmHLQgtx8tkoZoYk8hDFz7EiI4jAO9ePJR75WjZUc6lfouaosoirDarGoXY2XEGtBnA+0Pf59JWl9qt04oabbA+T8+tWIWU6/3AeQ9gMpuY9te0M3VQav9/QyFiRM26des4ceIEPXr0UJdZrVZWrlzJ22+/TVVVFXq9fYjr2NhYYmNjg11UgQuEqIlMlLp54LwH6N60OyCnQ7in5z1OtzdEGdDr9FglKwWmAppHNw9aWQW+o02D8WTfJ9Xlns7jMFvNasLaSGrPXk8U1gyfF1UWkRGfYXcc7XpDlMHOSpJIIhTDgYMH2B+zHyTPz6stY4GpgEpLpeql9vSlT5Nfkc+0v6bVmOcWSXXhDyJG1PTv359NmzbZLbv99ts555xzeOSRR2oIGkF4IUmS8H6KULzt9JUgYScrTsqiJlmImkjAVT172ka1CWsjpT3bJJtabk9dupW8dSVVJRSYCmqIGjWdQVUVv/zyCwsXLuSPP/5g06ZNFBbKfeDrp/9hgP3N9jN281gGDRrEwIED3b6Ia61mSn8apYsiOTZZnVdTVl1GtbX6jKhpYPMVI0bUJCUl0alTJ7tlCQkJZGRk1FguCD9Kq0uxSlbAvvNQGmlxVTEWm0UNAy4ID0xmE5WWSsD7N0pF1Agig1pFTS0PR2fh/8OdkqoSbJIN8NwDCeRroogawM5qcnjXYV75+BW++OILioqKau4cBVFRUdgsNrBA+cFypk6dytSpU0lJSWHMmDFMmDDB6VQJZ8NXaXGyl1pKXAo6dEjIL5AN1VITcS7dgshEaVhGg9FujoWjKVcQXij1ptfpSYrx3INCWOAij7paaiJR1CjljI+OVzPPe4LjkFyhqRDygM/gkvMu4d1336WoqIjGjRtz++23M2PGDNavX887K9+BJ2DARwN49udn4T7o93A/xo8fT/PmzSkuLua1116jTZs2PPTQQzU8dl3NyQHZYqP0p0fLjqoRoCOlLvxFRIua5cuX8/rrr4e6GAIPcBWPQTHlarcRhA++TGZUtgfh1h1JNGRR440VUrt9YWUh+/fv57abboMPgN2yFWbEiBEsXryYI0eO8OGHHzJ69Gi6du1KdlY26OTzltpKIQPOvexc3nrrLQ4ePMj8+fPp168fZrOZKVOmcM4557B48WL1vIqYKq0uVT0QnQ3n7yk44xEVKXXhLyJa1AgiB3edh9JQhVt3+FHXTr+hdaiRjBA1npNuTAcbzJ42mw4dOrD4x8Wgg+Tzk9m1axezZs3i8ssvJyoqquZ+uLC0REUxaNAgli5dyk8//URubi5Hjx5lwIABTJo0CavVqkYkhjPCxVlaht0Fu2v8xoaCEDWCoOCu8xAPwPBFTWLpxXwDEJFPIxFXeYh8ETWRYqHzVdTElMfAx/D9299jMpno1KsT3APt72hP69atXe7nTtRoGTJkCBs2bOCee2QPwxdffJF//OMfVJoqVWGjCBdnlhqtqCk0FdbbDOvOEKJGEBSEqIlMhKWm4aCdeKpFqcsKcwVVlqoa+ylohUyk1Lsv9/ePP/7InAfmwAGINkbzwQcfMPF/E6Fx7cfRei/lm/Ldnjs+Pp6pU6fyxRdfEBsby3fffccVV1xBqi4VQA2658zxQhuQrz5nWHeGEDWCoOAs2ZuCeACGL0LUNBxc1XVybDI65PlU7iwwkTz85Ik7t9Vq5aGHHmLo0KGYSkzQFIb8dwhjxozxONu2ch4Jif1F+z3a58Ybb2TJkiWkpaWxatUqTk47CZVnhIvTOTUOUYYjpT78gRA1gqDgLEaNgngAhi/uxKg7RJ1GHq5Ejdarxl19OooaxVU6nHHXL2kpLy/nuuuuY8qUKQBcfuPlcAdY0uTcTZ6Ko1hDLPHR8QDkFed5dG6APn368PPPP5Oamkr5nnKYBQfzD9bYX/lbObZCQ2qHQtQIgoIYfopMhKWm4VDXNqpdZ5NslFaV+rmE/seTDN3Hjx+nX79+fP/998TGxvLll18y9omxYHCepb42lG0kJI/3AejevTuLFy/GEGeAfcCP1IhI7Hhs9Xc2oHYoRI0gKLjrPDwN7iUIPkLUNAzMVjOl1bII8YeoqW3bcKG2+3vHjh2cf/75rF27lvT0dH7++WdGjhxZI2SBp8NPzrbxZhJ+z549GfDIANAB64FVzkWNI5FQF/5CiBpBUHAVpwbEAzCc8UccD0H4ow18qXUbVmiIombr1q307duX/fv306ZNG1avXs1FF11kt31dLDVwJsWBN5x7ybkw6PSXn+HQ5kPqOlfDXw0pXIYQNYKgIOLURCbevIFqUbYvqSrBbDX7vVwC/6K0z9S4VDXrtBZvRE10VHSt24YLrvqlzZs3069fP44fP06XLl34/fffadu2rbpeez0kSfJZ1CgpDrwh3ZgOvYFOgA2eGv8U+fnOPakiqS78hRA1gqAg5tREJu4sbO7Qvu2L9BfhT20PZWWiuKs2apNsqgDOScsBIsNK5+x3b9y4kX79+nHixAm6devG0qVLycrKsttP2d5is1BWXeadqImrfbjI7f7GdHn4aSiQAcePHmf8+PFOj6fURUPqW4WoEQQFIWoiE1+Hn/RRelJiU+yOIQhfahU1tbRRbWLINmlt3G4bLjizsGzbto3LLruMU6dO0aNHD5YsWUJGRkaNfY3RRjVXVG2B9BzxZA6MR/vHAteCXq/nyy+/ZPbs2TWOFyl14U+EqBEEnNoyPTuacgXhgdlqpqSqBKhb59uQOtRIpTaXZMVS58r6ogwdGw1GmiY2tTtmuGKymKi2VgPy787Ly2PAgAHk5+fTo0cPFi9eTHq66/teub9PVpxUrZFBFTVAUk4Sjz32GABjx47FVmHvRq+KmgbkhCFEjSDgKB2hq0zPSiO1SlbVA0MQemqbPFobQtREDnW11Gj3j5R6V8pniDJQWVLJgAEDOHToEOeccw4LFiwgLc39kKvyO/cV7lOXedJOtEO5dRU16cZ0Hn/8cTp16kR+fj5PPf4UiTGJ6vrc9Fwg/OvCnwhRIwg4tWV6djTlCsIDpS5SYlMwRBm83j9SHm6Chi1qUqNSueqqq9i+fTvZ2dksXLiQzMzMWvdXrFpK9N6kmCSi9dG17ucsAaU3OKZFiImJYerUqQBMnz6d+GPx6vo26WL4SSDwO55MNo2UjrAh4et8GgXh1h051OblVm9FjRVMX5j4448/SE9PZ9GiRbRs2dKj/R2TR3raTuo6/OTM0nPRRRdx2223IUkSpd+Vgg0SYxJpktgEaFiepULUCAKOJw9H4dYdfvjqzq0QKQ83QQO21CyE8q3lGI1G5s2bR/v27T3eP1SiJs4Qp6Za0O7/8ssvk5SUhOmgCTbL65R+Ndzrwp8IUSMIOJ6ImkjpCBsSvrpzKzTEDjVS8VTUFFUWYbVZ3e4fKRa6rz/6Gv6Q//7ss88477zzvNo/VKJGu592/6ysLB555BH5yxJINaSq68vN5W4zrPuV6urgnMcFQtQIAo4nSeOEqAk//DX8JOo0/KmtrrXzOJzFHdLu70nyy1Azf/58vpzyJQDdR3Xn2muv9foYyrU6XHrY7run+3mzj6tjOO4/YcIEEjISoBgqfqsgJS7FowzrfqGoCB57DHJzobg4sOdygxA1goDjSaZn8QAMP3zN0K0g6jT8Wb5/OYM/H8ymE5sA1w/ZaH206rlYYCqg0lLJXT/cxffbv5eXVdY+/LT60Gpu/fZWjpYeDchv8ZQtW7YwcuRIJJsE3eCiGy/y6TiO18pTgZIQnaBG+vW3qImPj+eS0ZcAkDcvD1OFSRWZ1866lpd/e9mn87nFZIIpU6B1a5g8GfLy4PPP/X8eDxGiRhBwxPBTZCIsNfWfl357iQW7F1BhriBKF0VOao7LbbXDSkv3LWX639N5esXT8rLT1ti0uDR1u0pLJSazSd3/1VWv8unGT5m1ZVaAfk3tFBUVcc0111BaWkrTjk3hKsiIrxlczxPaprd1+90VOp2Othlt0ev0tEptVadzOzvn8BHDIQ2qSqqYOnUqZ2ecDcCqQ6t49OdH7eqkTpjNMG0anH02PPQQFBZChw7w3Xdw773+OYcPeO+nKRB4ibsM3QriARh+CFFT/zlVcQqAR/o8wvUdrqd5cnOX26YZ0zhQfIACU4G6n/K/9l5JiklCr9NjlawUmApoHt3cblvl/2Bjs9kYNWoUu3btomXLlnSd0JW5h+b6fH9flnMZS29dyrGyYyTGJDKgzQCP9114y0JOlp+kaVJTn879yoBXuKXLLVzUsqaVaUzPMeyZtIeXH36Z//73v6zauIo/Tv7BqG9HYbFZ7OrEJ6xWmDkTnn4a9sju7LRoAc8+C6NGgb5m7rBgIiw1goDjlaWmAUW+DHeEqKn/KHUzrN0wejTr4XZbbX06Zqd2jEXlrO4dtw02zz77LD/++COxsbHMmTOH8uhywPf7W6fT0S+nHzd2vpGh7YYSa4j1eN/s5GzObXquT+cFSIpN4pKzLnGaDNMQZeD5B58nJyeHEydO8MPMH7ih0w11b4+SBHPmQNeusnjZsweysuCNN2DnThg9OuSCBoSoEQQBEacmMvGXS3dhZaGaF0gQXviSs0grairMFVRaKmscJ9xEzdy5c3nmmWcAmDZtGj169KizaA9noqOjVU+o1157DYvF4nsfK0mwcCH07g3XXQdbtkBqKrzwAuzdC/ffD3Fxfv4FviNEjSDgiDg1kUldO31FxNokG6VVIv1FuGG1Wb3LWRRXU9Q4fncUNVqPm1CJmr179zJq1CgAxo8fz6233mpXjvooagBuvfVWGjVqxMGDB/n66699EzW//AJ9+8KgQfDnn5CQAP/+N+zbB5Mmyd/DDCFqBAFHuHRHJnWNUxNniMNoMNodSxA+aF2zPaljbRvVipXDJYepslbZbePo1l1trabcXG63LBhUVVUxcuRIiouLufDCC3n11VfVdfVd1BiNRsaPHw/Af//7X+/iRq1bJwuZSy6RhU1sLEyYIFtmnn9ettSEKULUCAKKxWahuEqOWSBETeRgk2x+6fRFvYYvSp0kxSR5lNvL2fATnAk+Z4gyqMkUHetda4ENZlC+hx9+mD///JP09HS+/PJLoqNlV2qz1UxZdRngW/6lSGHs2LEYjUb++usvzHvNQC1tcfNmeYipZ095yMlggH/+E3bvhldflefQhDlC1AgCiqeZnpVO0GQx+c/lUOAzpVWl6jyYunT6QtSEL96KVleiRknoqE1Yqx2q0v7v+HcgmTNnDm+++SYAn3zyCS1atFDXaYWVLxnoI4XMzEx16G3fYjmbuNPrv3kzjBgBnTvLk4F1OrjlFti+Hd57D7Kzg1nsOiFEjSCgeJrpOTk2Gb1Onjkf7uHVGwJKvRkNRozRRp+PI0RN+OLtRHDtPBlnosYxezQ4FzWuUi34k7179zJmzBgAHnroIa688kq79WqG7rhU9FGh99gJJGPHjgVgz297oNShf9WKma++kpddfz1s2gSffgpt2oSgxHVDiBpBQPH0bVCn00VEePWGgr/mGwhRE754W8fa9qkdTnKW+8idqAHnqRb8RXV1NTfccAPFxcVccMEF/Oc//6mxTX2fT6Ola9eu9OnTB5vVButO/3ZXYmbjRpg9Gzp2DG2h64AQNYKA4s1kU/EADB/q6s6tECnJDRsivg4/nao4ZVefvoiaQLbxhx9+mLVr15KWlmY3j8bZ+RuCqAEYN24cAIa18M+Xl7sWM507h66QfkJEFBYEFG86D5HVOXwQlpr6T11EjZZjZcdqHMdRzAZL1Pzwww+88cYbAHz88ce0bNnS6XYNTdRcd845pEcbKCi3UPnnSXnh9dfDE0/UCyGjRVhqBAHFE3duBbUjFLFqQo6/On0hVMMX1Yrq4UTw2u4F7XrHoeRgiJoTJ05w5513AjBx4kSGDh3qctsGI2o2bYIRI4jp3p3bzBYA/pOir1eWGUeEqBEEFG8yPYu3+vDB2weeK0Sdhi/ePtiNBiOxetepANwNPzkOP/p7OFKSJO666y5OnjxJ586deeGFF9xu76/7O2xZswauvhq6dFGHmUb2k/NErSq1crJJk1CWLqAIUSMIKL6GYReEFjH8VP/xto61OZ2c4UzUlFSVYLaaA26p+fDDD/nhhx+IiYnhs88+IzbWfR4mbyzIEYMkwbJlcPnlcP75MHeu7Jo9YgRs3Ejuj99BM8AGH3/ycahLGzCEqBEEFE8ydCuIB2D4IERN/ceXOtZuG2eIc7lOG/ulqLJIPZeyjz/vh7179/Lggw8C8Nxzz9GlS5da9/GmXwp7JAl++gn69IHLLoMlS+SgeaNHw7ZtMGsWdO4s18npHJofzvgwlCUOKELUCAKKT5Yakak75AhRU/+pq6hpndba5TpDlIGU2BT1PMq52qS1sTt3XbFardx6662UlZVx8cUX869//cuj/erFnBqrVR5a6t4drroKVq2S0xmMHStHAJ4xA9q1UzfXR+lJ7pEMeti2ZRubN28OYeEDhxA1goAihp8iE3+7dIs6DT98qWNtaIbc9Fz7dQ7zU5xFIG6T7l9RM2XKFH777TcSExP5+OOP0es9C6QX0aLGbIaPP5ZjyYwYAevXy4kl/+//5EST77wDZ53ldNfMjExoK//9xRdfBK/MQUSIGkFAEXFqIhN/W2qqrFUi/UUYIUlSnS01itXF2Tqw94BSzpWblqsuqyvr16/niSeeAODNN98kJyfH430jUtRUVMC770LbtvLQ0o4dcmLJJ5+EAwfgv/+Fpk3dHiLdmA6nHZ6++OILJEkKeLGDjRA1goDizYQ85U1PuHSHHn91+okxiWp6DCFWw4ey6jIsNtnF15ss7FovxsYJjUmKSTqzzuFeUb7nm/LVCMKKdaeu90JlZSWjRo3CbDYzbNgwRo8e7dX+ESVqTp2CZ56RrS/jxskCJisLXnxR/vuZZyAjw6NDpcWlwdkQFx/HgQMHWLVqVYALH3yEqBEEDG/fBoWlJnzwxsLmDp1OJ2LVhCFKXcTqYzEaPM/t5RiLxtXkYO22+wr3ISFbBJThp7q6dD/++ONs3ryZrKwspk2bpibS9ASbZIsM76d9++C++6BlS3j6aVnc5OTAW2/B/v3wyCOQnOzVIdON6RANnfvK5pr6OAQlRI0gYJRWl2KV5MR1nsSDUDqY4qpi9S1SEHxMZhOVlkrAP52+EKvhh/ZlwxtB4Oi2rXx3lhhSsersLpTTKCREJ9A0sand+X1h+fLlvPrqqwBMnz6drKwsr/YvqSpRRVZYxqlZtw5uuAFyc+Htt8FkkicDf/kl7NwJ48eD0bcks0p95V4iW8y++eYbbDab34oeDkSMqJk8eTK9evUiKSmJrKwshg8fzo4dO0JdLIEbvM30rLUKBDLhncA9Sr3pdXq74QVfEaIm/PB1+MWVqHF2HGWZNjeU9l7wZT5HcXExt912G5Ikceedd7qNGuwK5bfHR8cTa3AfzyZoSBIsWiTHmOnZU3bDttlg4EDZRfvPP2HkSNlVuw6oIrR9KikpKRw7dozff//dH78gbIgYUbNixQrGjRvH6tWrWbx4MRaLhQEDBlBeXh7qoglc4G3HaYgykBybbLevIPj4+hbvCiFqwo9QiRrlxcVis1BWXeZ1uR944AEOHjxITk6Oaq3xlrCaT2M2w+efw7nnnhEwej3cfLPs1bRggRx7xg/tEDTWcGsxV199NSBba+oTESNqFixYwOjRo+nYsSNdu3ZlxowZHDx4kHXr1oW6aAIX1MW7QjwAQ4e/O31Rp+FHMEWNkgAz3Zhul2rB2/thzpw5fPzxx0RFRfHpp5+SlOSbFTEsRE1Rkeyt1KYN3HILbNggu2U/+CDs2QOffQZdu/r9tNq2eN111wGyqKlPXlARI2ocKS4uBiA93fWNWVVVRUlJid2nPrP15FZ6v9+bn3b+VOu283bNI/fNXLJfzabPh30oqSrBZDZx2ceXMfmXyXUqR7W1mgGfDmDk1yMBL70rvHwA2iQbw78czr8WehZ0K1wY8/0Ybvvutlo7E5PZRP9P+vPCL+5z2fgTf8WoUXDM2CwIDp9u+JScN3LIfjWbwZ8PxmKzcLL8JL3f783DPz8MeD8RXLt9WlyaOifF2dwUx2OnGdPsUi14I2qOHTvG3XffDcAjjzxCnz59vCq3lpCKml275Dkx2dnw8MOQlyd7Mj3/PBw8CK+95jLGjD9Q6mnJ3iVM2DUBY7yRvLw81q5d65fjD/psEK1eb8WSvUv8cjxfiEhRI0kSEydO5KKLLqJTp04ut5s8eTIpKSnqp0WLFkEsZfD5bvt3rD2ylk82flLrtp9s+IQ9hXs4XHqY3/N+57eDv/HH4T9Ytn8Z76x9p07l2HBsA4v3LlY7jx5Ne3i8r7cd3s78nXy/43veWPNGxLxtFFUWMWP9DD7Z8Emtv3PtkbUs3be0znXiDcJSUz+Y/vd09hft53DpYRbsXsDmE5tZsm8Ja4+spaRKfsHzpm0CNE9qTuOExrRNb0tiTCI9mvVweZwujbuo7vzabby9HyRJ4o477iA/P59u3brx9NNPe1VmR4IuaiQJli6FoUPlCL/vvAPl5XKG7A8/lN2y//1vcPOC7i+UOjHbzOwr30dmt0wAvv32W78c/0DxAQ4UH6gxaTyY1G3WUYgYP348Gzdu5Ndff3W73aRJk5g4caL6vaSkpF4LG6WxetJZOEswp3i81PXho+zfLqMdX13/FR2zOnq8r7exapRzWSUrpdWl6pyccEZ7fQtMBWTEu44x4U2d+gt/d/rCpTs0OGvjyrLLci7j3SHvcnbG2V4dM9YQy47xOzBEGdDpdPyjwz84MvEITRJrZn1undaavAl5HCk9QpwhjvaZ7QHvRc20adOYN28esbGxfPrpp8TExHhVZkfU+zsuwCKishJmzoTXX4eNG88sv+oqmDAB+vXz21wZT8lJyyFvQh7T/5rOE8ueIKVLCnm/5zF37lwmT66bhR7CI1FoxIma++67jx9++IGVK1eSnZ3tdtvY2Nhas7XWJ3wRNfHR8VSYK+xEjcliwmQ2eeSx5O7YzZOb07lxZ6/29bbDcxQIkShqPNm20lJZpzrxBjVGjZ/cXYWlJjQ4a+PKstaprWmX2c7d7i5JiUux+940yXUU2yaJTWoIHm+GI3fv3q2+mL7wwgtuLfOeojx46xqDySXHj8N778nRf0+ckJfFx8Ptt8P998PZ3glJf9MksQnnNpEzW+rP1qPX69myZQt79+6ldevWteztGl+jVPubiBl+kiSJ8ePHM2fOHJYuXepVSOyGgi+iRonwWVhZaLdfXeY/1OXGrquoiQR8ETWebOsvxPBT/aBGGzcVhsVDR5s+wR0Wi4VRo0ZRUVFBv3791EzcdSVgGbrXrZOFixIs78QJee7MSy/BoUNyzJkQCxoF5beXRJVw8cUXAzB37tw6HbPcXI7ZZgZCG/8nYkTNuHHj+Oyzz/jiiy9ISkri2LFjHDt2DJNJ5JNRUDoJT4ZuFNGizZrrrwdoXd70vc3Urf2tkZJewRvxaPf7gjTRVoiayEcbQNFZGw+lqFGGfWq7H1566SVWr15NcnIyH330EVFR/nlc+fUaVFXJnkrnny/Hl/noI6iuhvPOk4Pl7d0rTwhOC68gf4qwLKwsVF276ypqlOsao48hPjq+bgWsAxEjaqZOnUpxcTGXXnopTZs2VT+zZs0KddHCBuWhV1tEXqvNqga3cyVq6iIQ6uI90xAsNdprKyw1gkCgtEG9Ts9ZKbI3jbaNB2zoxQM8uR/WrVunTgh+++23admypd/O75f7Oy9PntzbogWMGgVr1kB0tBxfZtUqWL1aDpYXHe2nUvsX5bcXVRYx5MohgBwLTvEq9gV/x7fylYiZUxMpni2hRNtJFFUWkRmf6XQ7bbReJRdLganATl37w1IjRI1zvBp+qgz+7wuUS3dpdSlmq5lofXh29PUJrXhRJqIXmAr8Xre+UFsbN5lMjBo1CovFwnXXXcctt9zi1/P73D8pXkzvvAPffy9H/AV5iOmee+DOO6FxY7+WNVBoreiZ2Zmcc845bN++nUWLFnH99df7dMxwsAJCBFlqBLXj6cNSWZcUk0TjhMbqMn8PPwVF1ITgoV9XGtqcGm2iQ5H+Ijho61A7pBsOD57a2vikSZPYtm0bTZo04b333vP7W7/X16CkRBYyHTvKaQy+/VYWNP36wTffyIkn//3viBE0ANH6aDUFSoGpgMGDBwOwcOFCn48ZDvcWCFFTb9COoYNnokbb4TlOFA6VqPHW/TciLTVeCLH6IGr0UXpSYlPsji0ILE7beJhMFHYnapYsWcIbb7wBwIcffkhmpnNrs6945aGzcSOMGwfNm8sB87Ztg8REGDsWNm+WrTbXXlvnfEyhQlsPgwYNAuTI/b6OioSDOzdE0PCTwD3OYlLUtq1jgjmjwVhjm7qUpS6WmkJTIZIk1fqWFpGiJowtNWarWQ3M5s95F+nGdIqriiOmjiIdZ20835QfVqLGceJ7UVERo0ePBuCee+5RrQf+xGQxUW2tBlw4MpSXw+zZMG2aPC9G4ZxzZIFz662QHP5hIzwh3ZjOgeIDFJgK6HdJP4xGI4cPH2bLli0+uc6Hw70FwlJTb/CHqMk35Xu0v6dlqYuoUYLpeXou8NxjKtSEs6jRDg9ph43qipgsHFyctfFDJYfUB3o4unSPHz+eQ4cOkZuby5QpUwJybuWchigDiTGJZ1Zs3ChbY5o1gzFjZEFjMMD118PPP8PWrfL6eiJowL5NxsXF0bdvX8D3ISj1ngt0UMNaEKKmnuDYQbjzXlLekNKMaS6z5voqELTmXV9cuo3RRuIMcXIZPHgA1meXbovNolpNHPcLFMo5UmJT7ELc1xUhaoKL9gHjOKQbHRVNQnRCyMqm3AsV5gp1yHz27Nl8/vnnarLKhITAlM/OQ6eiAmbMgAsukJNHvvOOPH+mdWt48UU5tszs2dC/f9Aj/wYDxzapHYLyhXDwrAM/DD9VVlYSFxfnj7II6oDjw9EjS03cmay5VdYqj/d3hzYAk69vg+nGdI6UHqHAVECr1FYut7NJNrvfHSkPTE+tL46TaoMRpyZQJmQhaoKLM0uNQqhdbpNjk4nSRcnt11SIrcTGPffcA8Bjjz3G+eefH7BzF5gK6HwMHtlaDc81k0UMyFaZa66Bu++Gyy4DP8XECWfUlDSn+xVF1KxcuZKKigri472LNROwoIZe4lPN2Ww2nnvuOZo3b05iYiJ79+4F4IknnuCDDz7wawEFnuHr8JM2a66n+3tSjroEYPL0AVhSVYJNstU4dzijtWSBXGZXE/O8qVN/ESiXXyFqgou2jafEpaDjjIgJ+UNHF6U+UPMr8rnjjjsoLCykR48ePPnkk4E5aXExTJtGl2F3s/E9uHllkXOrzOWXNwhBAzXb5Nlnn02LFi2orq6uNa+iMyJ6Ts3zzz/PRx99xMsvv2yXXKxz585Mnz7db4UTeE6NB6Cb4SPHm8/ZTejrUI52Bryvb4OePgBD8dCvK9qJilBz2E9LKH5foC01wYqK3NDRDjFH6aLshgRCPTwAZ+6HD9//kIULFxIXF8enn35KtD+D1dlssofSLbdA06bwz3+SvnEX5ij49bymsHgx7NoFjzwSUe7Y/sKxn9XpdPTv3x+QvdC8JaJFzSeffMK0adO4+eab0evPpBjv0qUL27dv91vhBJ6j3FDK5DdPLTXa/z3d35Ny1OXG9lbUKGVWEnGGM9qJirH6WLtlrrata534Uj5hqYls3LXxUD901DKcgnf+8w4gp0Ro3769fw6+fz888wy0aSPPh/n8czCZoEMHlo27kuyJ8P6jVzQoq4wznLXJuoiacHHp9qlGDx8+TG5ubo3lNpsNs9lc50IJvEe5MZXkdb6KGmX/2lIteHpsX1DHemuxFinnapXaiiidfCuHuyXAleeZu22VOimpKsFsDWz7CpSo8Tb+kKBuhLuoSY1OhW+hurKayy+/nPHjx9ftgBUVsnjp3x9ycuSEkvv3Q0qKHO13zRrYvJmFwztxIjG0CRfDBWf9z2WXXQbAX3/9RUGBd201oi01HTt25Jdffqmx/KuvvuLcc8+tc6EE3lMXUaM1Ryu5oMC36K918XxS8PStXhE9mfGZEfPQ9EbUKL+vdVprdVmgI/L6o/6cISw1waVGG9fUZ6hdbgEO/3QYDoMxyciMGTN8S1YpSbLr9T33yMNLt9wiDzfpdLIV5vPP4ehRmDoVevcGnS5srAnhgLM22axZM9q3b48kSSxfvtzjY1VZqig3l9sdN1T45P301FNPMWrUKA4fPozNZmPOnDns2LGDTz75hB9//NHfZRR4gCpq0mRR44lLt/oWp+nkshKySI5NpqSqhAJTgcv8UbWVI5jDT4pAyDflh71bt7bMep08dOvKuqRsmxWfRUpsihq8rlFCo6CUz58IURM8tAEUw9FSs2rVKrZ8swWAQQ8MIjs727sD7N4tC5bPPpP/VmjVCm6/HW67Dc46y+mu4eKhEw64apOXXXYZ27ZtY8mSJVx77bUeHUvpw6J0USTHhjaWj0+WmqFDhzJr1izmzZuHTqfjySefZNu2bcydO5crrrjC32UUeIAzS40zrxq7ODKnLTTaBp4Wl1anB5BfRU0tsXK0VoVIeWj6MvzkmM4iWOXzJ5FSP/UBZwEUw0XUlJaWcssttyDZJOgCTc5v4tmOp07Bu+/ChRdC27by8NLu3RAff8ZCs2cPPPmkS0ED4TNEEg5o+xTts0KZV7N06VKPj6Vc19S4VHUqQKjwOU7NwIEDGThwoD/LIqgDysNOybqtROR1VM1l1WXqXBlXb3HpxnT2F+0Pvajx0lLjyT6hxpmlxqWoqbT/ffuK9gX89wXapbuwshCbZAt5x1efcRZAMVxEzQMPPMDevXtJa5JG4ZBC9/ezyQQ//ihbZObNA8vpOX5RUXDFFbKYGT5czsfkIULUnMEx8GpSrJzgUoksvH37dk6cOEFWVlatxwqn6+pTz7J27VrWrFlTY/maNWv4888/61wogfcoN1XzpOZuI/Iqy2L1sWquJ2eixtX+tZbDD+Zdj0VNZQSLGieRXl1ua0x3GVo+YOXz90Th0+W3STZKq2pPfyHwHWd1GA6i5ptvvmHGjBnodDru/c+9EOfkfrbZYPlyuOMOaNIERoyAH36QBU337vDqq3D4MCxYIIsaLwQNhNfDN9QogVfBvh7S09Pp3LkzgNO5s84Ip+vqk6gZN24ceXl5NZYfPnyYcePG1blQAu9wTELo7gHvGHhP+VuhzqImRJaa+jhROBSWqEB1TnGGODUYY7jXUaQTjqLmyJEj3H333QA88sgjXHjRhcDpskqS7J00caI8dNSvH3z4oRwcr2VLeOwx2LIF1q2DCRNkseMj4fTwDTXawKuObVKx1qxYscKjY4XTdfVJ1GzdupXu3bvXWH7uueeydevWOhdK4B2OY+ieihoFx789dal2hj+8C+rz8JM2KJqnoibNmKZO5g7k77NJtoB2TpEiPCMd7T2mYDdvLsjB92w2G6NHj6agoIDu3bvzzDPPkB6XRrejcOfs3XJU3/PPh9dekyP7pqTAXXfBihWwbx/85z/QoUOdy2G2mtVAl+Hw8A0HXPVBl1xyCSCnTPCEcPIq82lOTWxsLMePH6d169Z2y48ePYrB4L8keALPcBxDd7xRlUlgOp3O6UPLMdqosu54+XHKq2U3vVhDrDo+7zgnospSpc7TUTJ918UlWNm30lJJfkW+OpzmSH7FmXM5m1xcaanEarNijDaGxRyOSkslJ8tPAq7n1Chl1i73t2gzW81UW6uJ1kcToz8TEby0qlRNOxGIB1+6MZ3DpYeFqAkgFpuFY2XHgJoOAArBfvC89dZbLF68GKPRyOdPP03M88/T4/NP+HsvQLH8SUiAq6+GkSNh4EDwcz5BSZI4XHpY/Z4Sm+LX40cqrvqViy++GICNGzdSWFhIWpr7/kA7rB5qfFIgV1xxBZMmTeL7778nJUW+OYqKinjssceE91MIcBVoq9AkT8q8eMbF2CQbv435zelEUFfDT1P/nMrUP6cC0Ci+EevvWU9CdAJd3uvCZTmXMWPYDL7Y9AW3fXdbjUB9dek4k2OT0ev0WCUrmf+t3aXczjvo9BvDy7+9zKM/P4qEROu01my8ZyMJMaHLTDxt3TTG/jQWq2RVy+zo0j3j7xncNfcudRsFf4qazSc20+fDPpRUlRCrj+Xbkd8yuO1gu2MbDUaXQrIuRIo1LVLZXbCb3u/3PtPG42q2cR26oD7QN2/ezCMPPwzAlNRUzrn6agBiAJMBfmoL1zw9C/1VV8meTAFi4GcDWbx3MSBbs/VR+lr2aBi4apNNmjShXbt27Nixg19//ZWhQ4e6PU7EDz+98sor5OXlcdZZZ9GvXz/69etHTk4Ox44d45VXXvF3GQW1UEPUaIYqCkwF/J73O6sPrSa/Ir+GOzfIby2XnHUJvZr1onFCYy5tdakaml/hZMVJ/jj8BxuPb+Rg8UHm7pgLwILdC2oImi6Nu9AypaXPv0en0zG0nftGpJCbnku7zHY1GudPu35CQrZQ7S3cy9aToR0Wnb97vipWmiQ2oUfTHjXKrN1GQakTf7l0rzywUp1/VWWt4ue9P6vrAt0xCVETWH49+Kt6f8ToYxjQZoC6rk16Gzo06sCVZ18Z+Ae6JMGWLVQ99RQ39+pFVXU1g4F7jx6FmBi4+mosn35M1kNw/Ugouqp/QAWNyWxSBQ3A0LM961saAu7apDIE5cm8GsVCHg55xXyy1DRv3pyNGzfy+eefs2HDBoxGI7fffjs33nijfxOSCTzC0fqi9ZTR3qza79q3OJ1Ox/Lblqt/92zWk4KHCzDb5JD8182+jgW7F1BgKlCz/Squucrx3hnyDqO7jQbkSaF1He75duS3VJgrat1OOZdj43RspKF+kCrn/2T4J9zU+Sb0UXpKq0vt1in/f3D1B9zQ6QZAtpq4m9DnaznU75rhukC5cysIURNYlOs6ouMIPr3mU7uhxRh9DJvv3Ry4k0uSPJH3m29gzhzYuZOHgY1AJvBhv37obr1VdsFOTcUA6CaPh+pSCkwFZMRnBKxo2sBwJY+WhNRiG26o8yedvCxdfPHFvP/++/z222+1HiecLDU+T4BJSEhQZ7MLQour4Se3osbh5nPMqB2tjyZaLwtUJaqwVtTYJBslVSVqY2iS2ET1bvEX3hzPlahJjUulqLIo5A9S5fxNEpuob8pKmSvMFVRaKtVtmiY2rfHb/eXS7e66CEtNZKNc16z4LDtBo+DYxuuM1Qq//SaLmDlzQOMR+4PBwJun48p89MUXNLnxxhq7pxvTKT0tagKJ9r4WgsYed22yT58+AKxbt47Kykri3MxzqheiZufOnSxfvpwTJ05gs9ns1j355JN1LpjAc1yKmsoCOw+mwspCn24+xapTaCq0s8AUmnw7XiBQzq8k4lR+d5u0Nqw7ui7kiS6deQckxyYTpYvCJtkoNBU69VpR8JcgUIM0KtdFc38ES9SEui7qK0pdBnQIoLoali2TRcx338GJE2fWJSTAkCHk9e3L7U88AYWFTJgwgSudCBqQ74cDxQcCH1BSuS4iiWUN3PUrOTk5NG7cmOPHj7Nu3TpV5DgjXJ4D4KOoef/997n33nvJzMykSZMmdm8AStoEQfBQ58nE2ac98MZS4w7t8bR17evxAoESDh7gWNkxTBYTIM+5WXd0XcitA86uU5QuirS4NPJN+bVeS20d1CUir3KONultalwXYamJbAKW1yg/X47oO3cuLFwox49RSEuTvZauvRauuAJLdDQ3X3YZBYWF9OjRgxdffNHlYYMlcsOljwpH3LVJnU7HhRdeyLfffsvvv//uVtREvEv3888/z3/+8x8eeeQRf5dH4APuvJ8cH1q+zJvQWn60okZ5GHt7vEAQrY8mKSaJ0upS9hTsAUCv03NWipwHJpQPUpPZpIosx+uUbpQTcZ4oP1EjCaEWRbAqEXlT4nzzYFGug5L4NJiiRsSpCSx+qz9Jgh07ZBEzd648xKS1xjduDNdcIwuZSy8FzTzKZ598kl9++YWkpCS+/PJLYmJqDoMpRHqU7PpAbS8aWlHjCqvNqsZKC4dr7JOoKSws5Prrr/d3WQQ+4o85Ne6ws9RwRtQcLD5YI49UKFHG6HcX7Fa/KxMQQ/kgVYSkXqevkYtLuW57C/eqy7RWJwVjtBGjwYjJYqLAVFB3UeOQ+FQbwyhQZnphqQksdXp4m83w669nhIw2+zVAly4wdKhslenZU86/5MCyZct4/vnnAfjf//5Hbm6u21MGI6Ck9vjh0EeFG7W1ScU689tvv6n9hCPFVcWqp2k4DPH5JGquv/56Fi1axD333OPv8gh8wBdR4824uytRo1hEtHmkQokyRq8VNeHwINVec8dOQSmfUmZtEkJHtMHrctJy6lQWRdRUWaswWUzER8eL4acIx+v6O3kSFi2Cn36C+fOhqOjMupgYOV3B0KFw1VVuM1/LhzrJzTffjCRJjBkzhhtdzKPREqz7QYga19RWB927dycmJoaTJ0+yZ88ep0JV2TcpJkl1LgklPoma3NxcnnjiCVavXk3nzp1ruHHff//9fimcwDMcG62ilk0Wk10UzSOlR1Q3aX9YanYXnhEPfves8AFVIBSGp6hxOqx0Wlxqy+wKRdT4OgdBkiS1LC1TWmKIMmCxWSgwFRAfHR9Ul25Xb30C36n14W2xwB9/yAJmwQLZBft0tHEAMjPhyitlITNgACQleXReq9XKqFGjOHr0KO3bt+fNN9/0aD8hakKPck1MFhOVlsoaQTdjY2Pp2bMnv//+O7/99ptbURMOMWrAR1Ezbdo0EhMTWbFiRY3APDqdToiaIOP4MNJG5N1TuEfdTvk7ShdVYxjEHdqxbztRc9q6EC43s6PVw5P8SsHAnfeFYoLXWpdcUdffYrKYqLZWA5ARn0G6MZ0T5ScoNBWSnZwdNEuN1jok8A8u5zUcOSILmAULYPFie2sMQLduMGiQLGTOOw/03gfme+6551i4cCFGo5FZs2aRkOCZ23TQRE2gJlDXA5Jik+w8MJsmNa2xzQUXXMDvv//OmjVruO2222qsDzfR6JOo2bdvn7/LIfARZ0kIdTodacY0TlWcUh+WoHnYx6V55T2jHLekqkTNS6Q9XrjczI6iJt0YHtm7PfFq8uRa1nVipbJfdFQ0CdEJqqhxjO0TqPpMjElUrUOFpkIhavxIcVUxADEWSF+1ARb/LAuZjRvtN0xPl60wgwbJ/zet+RDzhvnz5/Pss88C8jyazp07e7yvsNSEHkcPTGeipnfv3gD88ccfTo8RbtdXZJ+McFwlIUw3pnOq4pSalRbwOUOtduJqubm8zscLFEo51HLF2Q8/hWrIwxNR48m1rOvESm05nEUpDnTnpJxTEVLNk5sH5DwNCqsV/v4b29xZLPwMLsoDw/Nn0iOg00Hv3rKIGTQIevXyyRrjjP3796vzaO69915GjRrl1f7CpTs8UDwwXfUr5513HgAbNmxwGoQvnNy5oQ6i5tChQ/zwww8cPHiQ6upqu3WvvvpqnQsm8AzlRnRMQujJMIanGKIMpMSmqG+DdT1eoHDmLq0sM9vMVJgrQhJR1BNRo+DOe6Cub7aOY99aK5bJLI+puyqnv0iLS7OzDgm8RJJg505YskT+LFsGhYVkAqqUadLE3hqT4f8UBJWVlfzjH/+gsLCQ3r1789prr3l9jGC5dIvge+6prV9p2bIlWVlZnDhxgvXr13P++efbrVf7tzDI0A0+ipolS5Zw9dVXk5OTw44dO+jUqRP79+9HkiS6d+/u7zIK3ODqgelPUaPs41LUhMnN7NhppRvTiY+OJ0YfQ7W1mgJTQdiLmkDOqfHES84QZaiRzNSfhMMcp4jj8GFYuvSMkDl0yH59cjLHe3XgP9GrOdy7Hd88vU220ASQ+++/n3Xr1pGRkcFXX31FbGys18cIlhVVWGrcU1ub1Ol09O7dmx9//JE1a9a4FjVhcn19Cks6adIk/vWvf7F582bi4uL45ptvyMvLo2/fviJ+TZDxRdT4MrHX3yIpEDi7Bv5MBukr7iYqhpuoSYur6XbuT0JdF2GPJMG+ffDxxzBmDOTmQnY23HqrvOzQoTPu1s8/D6tWQX4+S167j7fOh6I2zQMuaGbMmMH777+PTqfjiy++oGXLlj4dR7kXLDaL3TC5P7HYLOrLWLj0U+GGJ21SGYJyNq8m3CZi+2Sp2bZtGzNnzpQPYDBgMplITEzk2WefZdiwYdx7771+LaTANa5EjdZqEWeIQ4fuTFRbHywrjvN1tA0g3LyfFJRypRvTOVZ2LHSixk1QO8dr54mo8XUOgjtRE2h3bgUhahxQoveuXCl/VqyoaYmJioLu3aF/f7j8cujTB4z2caGC9bb8xx9/MHbsWACeffZZBgwYUMserjEajMTqY6myVlFgKiAp1jMXcm9QPMIgfPqpcMOTNulusnC9cOlOSEigqqoKgGbNmrFnzx46duwIwKlTp/xXOkGtuHoYab+nG9PRoVNj1vg6/KSQm57LH4f/cLoulLi6BqF+kLqbSBdMS41ajjj76+JrolNfCHVdhByLBTZtkqP3KkJGmxQSwGCQJ/Recgn07QsXXggp7iNIO9ZtIDh8+DDDhw+nsrKSoUOH8thjj9XpeIoV9WjZUQpMBZyV6j7Any8o91lybLLLoJYNHeVly93LUq9evQDYvXs3+fn5ZGjmaYXb8JNPtXz++efz22+/0aFDB6688kr+9a9/sWnTJubMmVNjvE0QWDwZfvKLqNF0li1TWvLX0b/CKkUCuL4GoXbrdht8z8k8IFf4y6Xb3fCTEDV+5tQpWL1aHiZatUoOfldebr9NXBycf74sYC65RP473jt390C/LVdUVDBs2DCOHj1Kp06d+Pzzz4lykirBW7SiJhCE2wM3HPGkTaalpXH22Wezc+dO1q5dy6BBg9R14XaNfRI1r776KmVl8hjo008/TVlZGbNmzSI3N9enWfAC3/FG1Dhb5ynafTKMZwK3+Xq8QBCulhp3jV6biNPVNgp1nlNTGT6iJtBuvCHBaoUtW84ImFWrZE8lR5KT4YILzoiYnj3Bh4m2WgI5r0GSJG6//XbWrVtHZmYmP/zwA0keRhuujUDfD+H2wA1HPO1XevTowc6dO/nrr7/sRE29cOlu3bq1+nd8fDzvvvuu3woUkRw5IocU91ND94ZQiBrFVTrcRI0xWnZrV1yTlfg6vogBi8VCSUkJRUVF6qe0tJTKykqnHyWsgU6nIyoqCp1Oh06nQ0KieGUxGOC75O9okt6E+Ph4EhISSElJITMzkxRbCqW2UojyTNRUWioxmU0Yo73LtyUsNX5EkmSvpD//hLVrZQvMmjVQWlpz23POkUXMhRfK/7dv7zQhZF0IZP0999xzzJ49m+joaObMmUNOjm95x5wRaLduIWpqxxtRM3PmTNatW6cu06ZeCZdr7LOoWbt2rd24GkBRURHdu3dn7969filcxPB//wdffglnnw09esifnj3h3HMDLnRcTUK1EyFx9rmZ/CVq6nK8QJFuTOdI6RG7xJCpsalQDnt27mGZYRknTpxQP8ePH+fEiRPk5+fbCRjFEulPHl38qOuVOsAIl826jJYtWtKiRQtatmxJy5by37m5uWRnZ6vpLwpMBTSP9i54XTiImlAPBfrM8eOygFE+a9fKyxxJTJTTDSgi5rzzID3w7SNQ9ffVV1/x1FNPATB16lQuvvhivx4/0CI33B644Yg3ogawEzXl5nLMNrPdcUKNT6Jm//79WK3WGsurqqo4fPiwkz3qOUePnvFi2LEDvvhCXq7T2QudHj1koZPsed6l2vDEUpNmTPOrpSYtLk19OHmbR8pfWK1WTp06xfHjxzl27Jj6qVpYBSfle7HLF11k8XLyBNjgm9P/vEGxqKSmppKUlITRaCQuLq7GJyYmBpDfXCRJwmazIUkShaZCvtz0JdG2aIbmDKW8vJyKigrKy8spKiri1KlTlJSUgARUwPZt29m+bbvTshiNRnRpOkiH/5T9h369+9G9e3dat27tkRu2q+B7pdWlqtUt0AHKIsJSc+IErF9vL2Ly8mpup9dDp07ypN6ePWUh07Gj3yL2ekMgHt7r1q1Tc/1MmDCBO+64w2/HVqhrlOzaEIH3asfTNnnuuecCcODAAXWysLJPrD4Wo8E7y3Gg8ErU/PDDD+rfCxcuJEUzI99qtbJkyRJatWrlt8I549133+W///0vR48epWPHjrz++ut+f3vwmmXL5I5w3Tr7T15eTaEDstDp3h26dIGuXeX/m/sWX8ITl27H4SdfJhM6unQr50uNS/Uqj5Q7JEmiqKiIY8eO1RArjstOnDiBzWZzeaxKKtnEJrtlhgQDuS1yycrKonHjxmRlZamfzMxM0tLSVAGTmppKSkpKjQz03rLm0Bq+/OBLmqU045sHnQuq62Zex5x1c8jSZfHFoC/Iy8sjLy+PgwcPqp89e/ZgMpnABByBqZunMpWpAKSmptK9e3e6d+9Ojx49uPDCC53GDnEc+9amv9hbuNduXaAIK1FjtcpzXtavhw0b5M/69XDsWM1tdTp5GEkRMD17yskgjeHRkftb1Ozdu5chQ4ZgMpkYNGgQ//3vf/1yXEeEpSb0KNemuKoYq82KPsq5KE9JSaFt27bs2rWLdevWMWDAgBqpV8IBr0TN8OHDAXnegGO2zujoaFq1asUrr7zit8I5MmvWLB588EHeffdd+vTpw//+9z8GDx7M1q1bfQ4A5TeysmDwYPmjcOIE/PWX/KanFTo7d8qfL788s21amixutJ9OnWr1gnApaoxuRI0Pby2uhp9cdRY2m42SkhKKi4vJz88nPz+fU6dO1fpxTLnhDp1OR6NGjWjSpAmNGzemSZMmrCpcxe7q3XTM6cir175KVlYW20zbuGn+TXRs1pH196z3+rfXBU861czETEiCxlmN6d+/v9NtLBYL+/btY+ibQ9mxYwf9k/pTfLCYjRs3UlRUxNKlS1m6dKm6fcuWLbnkkku4+OKLueSSS2id27rGZGR9lJ7UuFSKKouClpxUOX5pdSlmq5lofd1Eo8cUF8uu1Ipw2bBB/l5ZWXNbnU4OeqcMI/fsKb+EhGDOnCcoFkHwT/2dOnWKQYMGceLECbp27cqsWbPQB8j6FHBRE2aB4cIR7bOiqLKIjHjXaTV69OjhVNSES4wa8FLUKG/GOTk5rF27lszMzIAUyhWvvvoqd9xxB3feeScAr7/+OgsXLmTq1KlMnjw5qGXxiKysM4nkFE6elMWN8ma4cSNs3w6FhXLgrRUrzmyr00HbtrLA6dhRnmDYvr1s6TmdVMxVnBpDlIHk2GRKqkrsRE1STBLR+mhsNhtms9nuU1VVhclkoqKiQv1f+ftwwWH4A7DAVxVfsf7getgFBVEFDJ43mOLiYlXEFBcXU+pswqSHpKam0qRJE/WjCBbH740aNcJgsL+Fx3w/ht3rd9OxY0c1MJj5sBn0wbcOHC87zt/H/gY8mwDsbhuDwUDbtm1pc0EbdmTu4Karb2LMuWMoKi9i0+ZN7Ny8k3Xr1rF27Vr+/vtvDh48yGeffcZnn30GQFpmGjQHcsFcagbjmXMXVRapiUoD3flrrUOFlYVkJWT59wRFRbB1q/zZsuXM/66GxRMSoHNn2erStav86dxZnhsTYkxmE9tObQOgQ6MOdrndrDYrJytO0iSxid28hroOs1RUVHDVVVexa9cuWrZsybx580j243C5I4ESNZIksf3UdvYX7bc7j6AmhiiD6oFZYCpwK2q6d+/Ol19+yV9//QWEpyXMpzk1+/btq7GsqKiI1NTUupbHJdXV1axbt45HH7WfbDlgwAB+//13p/tUVVWpQQIBee5CABk2bBiFhYVIkgScmV+h/bvGuvh4pG7dkCoqwGRCqqhAMpmQTCawWJB27kTauRO+/hoJ1A8xMUgxMSRbK4nVw4APL0EXG4t02gRos9moKKgAM/zzrX9itVjBBKW2UvSP690O3dTGO4veUf8uoIAFLHC5bWxsLBkZGWRmZpKZmWn3t7NPVlZWjSyw3qAKhLj0GsuCKWr2F+2n7VttPYrl44mocdxWyZfT+8PeFFcVc+DBA+qch7KyMlavXs3KlSv55ZdfWPHbCgpPFcIpYAM0ndOUXr16MWjQIGKtsXIvoLM/fqDQWocKTT6KGkmC/Hz5ZcBRwBw54nq/7Gx78dKtG7Rp43dPJH9xwQcXsOH4BgDOa34eq+9cra4b+9NY3v/rfdbetZZGCY0AiNHHEB/tXXwbLRaLhRtuuIE1a9aQlpbGggULaNasWd1+RC0ob/j+dul+ZdUrPLT4IfV7OD10w5F0Y7oqatzhOFk43Ny5wUdR89JLL9GqVStGjhwJwPXXX88333xD06ZNmTdvHl27dvVrIUE2iVqtVho3bmy3vHHjxhxzNgYOTJ48mWeeecbvZXHF77//HryIytXV8uc0xWUHXW5aRJHddxvOBU10dDTx8fHEx8djNBpr/L29eDs2g40rzr4CKUZiwaEFXNHhCvq260tycjIpKSk1Pr4kuqsLIzqOYOWBldzY+UZ1mdLgys3lVFmqiDUEvkybjm/CYrMQHRXNWalncVvX21xuO+ycYXyz7RtGdxtd63G1EyvLqsvYVbALgCOlR2idJodaSExM5PLLL+fyyy+n0lKJ8Rkj5EHiwUQSDiRwfO9x/vjjDzXkuT5Nj7GLkW6XdqNVSqu6/XAPUKxDtYrM4mLYtevMZ+fOM/8XFbneLztbtmx26CB/FCtnAF+6/I3FZlEFDcBfR/+yS/q47ug6JCTWH1tPj2byg6Yu8xpsNhujR49m7ty5xMbGMnfuXNq3b1/3H1ILgXrhWHdUfuimxqXSPrM9l7a61K/Hr2+kG9M5UHyg1npQElbv27ePwsLgRSL3Bp9Ezf/+9z/VrL148WJ+/vlnFixYwOzZs3nooYdYtGiRXwupxbHRusvuOmnSJCZOnKh+LykpoUWLFgEr2wcffEB1dbVaHiVWieP3Ov0tSeiKitAdPMipbX/x669fkFuqp2tlChQUoEN96Sba8dO0KdGtWhHdujXRbdoQffbZRLdtK/+fkhI2E73qQu/mvfnjLvv8JClxKeiQY8YUVhbSJLFJwMuhvHn2y+nHwlsWut327Iyz7d7C3aF9CGjfbgtNheBk5KHQVAgG0LfWUzKjBJ1Ox+HDh1m0aBE//vgjCxYsoKKwgrIVZfy64leyp2Zz7bXXcvPNN3PhhRf6JWqsI6pbd0W+PO9s3z7Yvx/27rUXMI7pAxxp2dJeuCh/B3C4JFhocxYBmG1mKswVapZ5pe79keJCkiTGjRvH559/jl6vZ/bs2fTp08f3wntBoESNYkF4feDr3NbN9QuFQMbTekhNTSUnJ4d9+/axYcMGCsyn770ApufwFp9EzdGjR1Vx8OOPPzJixAgGDBhAq1at1Gye/iYzMxO9Xl/DKnPixIka1huF2NjYoFoKrr766qCdC2DF/hW89fEXnJPZlm3jtslvr9u3w7ZtsGeP/HDYvVv+v7RUdj0/elSOdOpIo0Zw1llnPq1a2f9dS+6ZcCZKF0WaMU2NxxIMUROoNxhnsWW053NVjjTjmezbzZs35/bbb+f222+noqKCRYsWMWfOHObOncuJEyd47733eO+99zjrrLO48cYbufnmm+nUqZP3hZUkea6YIlpO///OrwdIPALtXrwOKmuZGN64sTyv7Oyz7f9v08brVAKRhFJvSTFJVFoqMdvMFJgKVFGjrK9rjCFJknjkkUd477330Ol0fPrpp0Htx5QyV5grqLRU2s0bqgvhaEEIZ7wRl127dmXfvn2sX7+egtbhd519EjVpaWnk5eXRokULFixYwPPPPw/IDcRZ/Bp/EBMTQ48ePVi8eDHXXHONunzx4sUMGzYsIOcMd2oE3ktNlfPGOObfkiQ5B40icpSP8lZcXCxPYD55UvbUckZKyhmR06IFNGsmu6E3a3bm79RUn9zSg0G6Uc4srrzBBRq1U/XzG4w2rLw3osZVpxMfH8/w4cMZPnw41dXVLFu2jJkzZzJnzhwOHDjAiy++yIsvvkjXrl0ZM2YMt9xyC+np6WCzyffU4cNyVulDh5z/7SSI4ZnXnmr5fmnWDHJyZPGcm3tGuLRtG9Fiui4o9ZYRn4HJbOJ4+XEKTAW0SGmB1WZVLTl1FTXPPvus6q49bdo0brzxxlr28C/JsclE6aKwSTYKTYU0TWrql+MKUeMd3oiabt268d1337F+/XpKm9We3iXY+CRqrr32Wm666Sbatm1Lfn4+g0+7Ma9fv57c3Fy/FlDLxIkTGTVqFD179uSCCy5g2rRpHDx4kHvuuSdg5wxnPG64Op1siWnUSI5y6khRkfwmfeCA/NH+feCA/PAqLpY9tTZudH0eo9Fe5Ch/Z2XJ51b+b9RI9d4KFsGeLBxulhpPyhETHc3APn0YmJvL1NtuY+68eXyxeDHzNm9mw4YNPPDAAzz84INcEx/PnVVV9LNY8GhwqnHjM6IlJ4fPS3/no+IVXHXFOB4Y8Uqd8x7VR7T1ZjKcETVgPzSlFere3GuSJPHUU0/x3HPPAbJnqeJVGkyidFGkxaWRb8qnwFQgRE2I8FbUAGzYsIHUfqlABLt0K7z22mu0atWKvLw8Xn75ZRJPuz8ePXqUsWPH+rWAWkaOHEl+fj7PPvusmi123rx5nHWW/1PWRwKu3Lm9JjVV9gQ5fbPWoKwMDh48I3IOH5Y/R46c+b+gAEwmedhrz57az5mUZC9ylL8zM+XypKXV/D852WdPlWCH5w9Up6rNleNW1FitUFyMecc2eh2CKyqsMHOmXE/Kp7BQ9iI6eVIO+X/8uFyHyB7fI05/CoCZwHRgvSTxZXk5XwI5wB0JCYxu3ZrmrVvLQjY7W/5o/3YYJtq29HF+/mUF52TohKBxgaOo0S5zrHdXqVJcIUkS//73v9UwGFOmTGHChAl+K7u3pBvTVVHjD7SWLCFqPMObxKKKI9CWLVtoV9rObv9wwCdREx0dzf/93//VWP7ggw/WtTy1Mnbs2IAKp0giaG8jiYlnJmG6orJSFjdaoXP4sDyH5+RJedKn8r/FIs/xKS31TAAp6HTycIRW6CQmyp+EBPv/HZZdsM/CySOg27wF4nfKD1PlExMj/2/wqTk4xaO6sdnk6+b4qaqy/24yycKytJQ2x/fx/HLIsBzh/IXT+Go/JFVDu1nvgP5L+ZoWF8sfSeIfwD8AWAvc5FnhjUbZunL6k56VxbjGjRnXuDF/lZczfc0aPl+yhH2lpTxeXs6TW7ZwdZs2jL/2Wi677LJaJ5x704E2VHwRNZ70A8ocGmXI6fXXX+eBBx7wa9m9xd9u3cVVxUhy4IuwsiCEM9689J111lmkpKRQXFzMyf0nISlCRc0PP/zA4MGDiY6OtkuX4IxgT5htqISViTUuDlq3lj/ukCT5gasVOcr/J07IFoSiItmKoP3fZJL3LSpy787rgqdOf5j2X8BFyPeoqJoiR6eTlzt+HJfrdLJ1xGIBq5UPi/KwmKHRuxNB94i8TvlYLGA2yx8vaQT8G4BqYB1d1DVHT3/sqTLGcDy6mqjMTLLP6iwnV1Q+aWnyJytLFjDK/24Cz3UH3gWmVFTwzTffMH36dFauXMl3333Hd999R/v27Rk/fjyjRo0iyUUE3rBKlRCmaOdkKaJG6/Gk3c7TqLlWq5WxY8cybdo0AN5++23GjRvn97J7i7/vB+U4iTGJxOhj/HLM+o43daDT6ejWrRsrVqyg8EAhdAqTZ9BpPBY1w4cP59ixY2RlZanpEpyh0+kCNllYYE9YiRpP0elkK0tqqjwh1FOqqpyLnbIy+VNebv+/w9+nTh7AVFJAqs5IkhQtx/ipqpKFkoLNJoun00MwdUENWVbiYUcdFSVbSOLian5iY2WhkZSELTGBt7d9QmkstGjenjUl2yiNgfatezFp8AvysF5ysipaHlz0AO+te4+n+o7j6UufrvPvUoiPj2fUqFGMGjWKrVu38s477/Dxxx+zbds2xo0bx6OPPsro0aMZN24c7dq1s9s3YjN1BxE1EaMxDaNFDv9cF0tNZWUlN910E99++y1RUVFMnTqVu+++O1DF9wp/ixqRxNJ7vK2Drl27smLFCqoPVUeuqNFGoK1LNFqB/4hIUeMrsbFnhkR84LPVrzNh4QRu6DSMmdfNlBdKkmw1qao6I3K0f1utstDRfiSp5jLlYzDIGZr1egZ8MZhCcymzR35NTmauulz9xMTYixgPh76igCdf/J7iqmI6NNKx9aS8/KKWsUy6/PIa2wcj902HDh145513eOGFF/jkk094++232blzJ2+99RZvvfUWV1xxBePHj+fKK69Er9cLS40HaOut0iLnp3ImakqrSzledlzd1hlFRUUMGzaMlStXEhMTw8yZM7n22msDWXyv8Hem7gbVL/oJb9ukMlmYY/Jk7+TY8IkN5fUkApvNxkcffcScOXPYv38/Op2O1q1bc9111zFq1Kh6EcAtUhCN13OcNlqdDqKj5Y8fsUk2fv65DAkwntcH/BwXJ92YTnFVsZpZG3Dpqh7MMOYpKSncd999jBs3jiVLlvD2228zd+5cFi9ezOLFi8nJyWH8+PFcMPQCQIgad9jNqTG7nlMDsK9on7qtI/v27ePqq69m8+bNJCcn88MPP9C3b99AFt1rAjX8JPpFz3FMv1Lbc1zNGnAcUmNTidKFT6oRr0oiSRJXX301d955J4cPH6Zz58507NiR/fv3M3r0aLv4MYLA463XQ0NGnZwahDg1xZWaiYoBqBvltyhv8OAfl25/ERUVxRVXXMH333/Pnj17eOihh0hLS2Pfvn3861//4vJzL4efoOBQATZJWH2doa03x4e+Y10r94FjHa9cuZLevXuzefNmmjZtysqVK8NO0IAQNeGAcq2skpXS6tqTEbdv316ONm6CFHN4xZLyStR89NFHrFy5kiVLlvD3338zc+ZMvvzySzZs2MDPP//M0qVL+eSTTwJVVoEDovF6TjCHPJRzJEQnBCTPlDOPDuUNy1VZQnWP5OTk8PLLL5OXl8f//vc/OnbsSEV5BawF6S2JAYMGsGDBAjGk7YA3okZBK6CnT59O//79OXXqFD169OCPP/4ISE4+fyBETegxRhvVaM6evPgZjUaatJQt0DH54TUZ2ytRM3PmTB577DH69etXY91ll13Go48+yueff+63wglcY7aaVUUtGm/tBHNyaqA7VWfHrbJWYbLUnOAcLh18QkICd999N5s2beLnn39Gf44egCWLljB48GB1Xk6ZkwjEDRFvRY0OHSlxKZhMJu655x7uuusuLBYLI0eOZOXKlWRnZwev8F7ib5fucLnnIw1v+8hmbU67Q9SSoi3YeCVqNm7cyKBBg1yuHzx4MBs2bHC5XuA/tFFFU+NSQ1aOSEHp4Ioqi7DaAuudF3BR4yL1gmNnZLFZKK4qBsJniFKn09G/f3+a3t0U7oMb77yRpKQkduzYwfjx42nevDkTJ05k7969tR+sniJJkt1cKMe4Ps4e/mnGNHbv2s0FF1zA//73P3Q6Hc8++ywzZ84kPsxzZPndUhOEyfH1EW/rIaNVBgDmo96HpggkXomagoICl8kjARo3bkxhoQioFQyUGy81LhV9lD7EpQl/lLdBCUl90AeKYFpqonRRZMZn2p1XQSt8wy0IWboxHTLg9kdv5/Dhw7z55pu0bduWkpISXnvtNXJzcxk+fDhLly51OqxWnymtLsUqycI7LS5Nre+y6jKqrdVqPWsTs0ZviaZHjx5s2LCBRo0asWDBAp544omIcNwQLt3hgbf1kJgtx7Mqzat9Dk4w8UrUWK1WDG5cT/V6PRaLpc6FEtSOMLF6R4w+hsQYuREGeggqmKImLS7NpahRvifHJmOI8l+0ZH+gNXUnJSVx3333sX37dn766ScGDBiAJEl8//339O/fn65duzJ9+nRMfogfFAko9RZniMMYbSQlLgUdsjgpNJ1JZNomrQ2UAbPh+CfHKSsro2/fvqxfv54BAwaEqvhe428rqugbfcNbURPbTJ4vWJhXGFax6bzq6SRJYvTo0cS6yNdSVVXll0IJakc0XO9JN6ZTVl1Wr0SNszkXwSpHXXBW5qioKIYMGcKQIUPYtm0bb731Fh9//DGbNm3irrvu4pFHHuHuu+9m7NixtGjRIlRFDziO9RaliyLNmEaBqcAuR5Jhm0EO71wBuigdTz7xJI8//rjbF89wRGtRKaosIiM+o07HC+f7PpzxVtRYUi1gAEuVhb1799K2bdtAFs9jvLLU3HbbbWRlZZGSkuL0k5WVxa233hqosgo0iIbrPcHygAq0q72dpcaY5nKCXzjfI7XVRfv27Xn33Xc5dOgQU6ZMoVWrVhQUFPDiiy+Sk5PDiBEj+Pnnn+ul15SzelPq+GDxQSynLDATVkxZARVAYxj40kCefvrpiBM0ANH6aJJi5JQa/mib4XzfhzPe9o9F1UVy3hZg06ZNASqV93jVAmbMmBGocgi8RMSo8Z5gxarxW/Z0F7iy1Dj+rmAG3vMWTzvQtLQ0/vWvf/Hggw8yd+5c3njjDZYvX85XX33FV199RatWrbj99tu5/fbb6431xtlDOd2Yzp5je3jtP6/Bp4AV9AY91j5WuBhyO+SGqLT+Id2YTml1aZ1FjSRJQtT4iLeipsBUAFnAUdi8eXPYRKkOnzCAAq8I9IOzPhIst+5Ad6raSb+eDD+Fo/BVy1zpWV3o9XqGDx/OsmXLWL9+Pffeey8pKSns37+fp556irPOOovBgwfz9ddfU11dHciiBxzH+6eqqory38vhbVj00SKwQszZMbz+7evQDzCE30Rwb/GXW3e5uRyzTfbGEX2jdzh62dVGoakQTvsNhZOlRoiaCEW8jXhPsIefgmKpiYvsOTW+WM26du3Ku+++y5EjR/j000+59NJLkSSJBQsWcP3119O8eXPGjRvHypUrI3J4Sqm3FH0K7733Hm3btmXrR1uhFOIbxcMN0Ob+NnTtfCaYXjjWsTf4q20q+8foY4iPDm9X9nDD25e+AlOBOvy0bdu2QBXLa4SoiVDC+YEVrtQXUaO1vNhZaiojT9TUpS7i4+O55ZZbWLZsGbt27eKxxx6jWbNmnDp1infffZe+ffvSokULHnzwQVatWhUxruF5h/NgOXxzzzfce++95OXlkZCRAIOhxWMt4BzIiM+oMTwVyfhb1KTFpUWEO3s44U0dWG1WOWTEaVGzc+dOzObwiFcjRE2EEs4PrHDF2yEPXwl03RijjRgNRvUcLi01YRyEzN9Dgbm5ufznP//hwIEDzJ8/n9GjR5OSksKRI0d44403uPDCC2nRogV33XUX3377LSUlJX45r78wm80sXLiQm266iWmjpsFyKMsvo1mzZrz55pvc//n9cB7sLZWDEmrrXfkeyfgrU3c4zyMLd7wRNcVVp/PbJcvRws1mM3v27Al0ET0i8qbKhzE/7PiBUxWnGNFxhBoTpTZ+z/udszPOVmONuMJis7BozyI1oNrugt2AaLzeoFyrzSc289327xjYZiDGaKPfjn+09CjL9y8PiuBMN6ZzuPSw3cNtb+Fevtj0hbrNlhNbAl4OX6mtAz1ccpijZUfp2awn4Fk7+e3gbxwoPkDcWXG8M+0d3nvvPRYtWsSsWbP4/vvvOXz4MNOnT2f69OkYDAYuuugiBg8ezKWXXsq5555LtJ+ztYOcsX3J3iWcrDipLmue1JxLzrqEqqoqfvvtN7766iu++eYbTp06dWbHFjDmn2OY+tBUYmJieH316wB280Uc51ZFMkr5Vx9azfxd87mizRW1xlY6WX6S3QW7uaDFBeoy8bLnO45t0mqzsnjvYqdt9ES5nBshKS6Jdu3b8eeff7J161bOOeec4BXYBULU+JHbvruNosoiLmxxIedk1l65fx75kz4f9mFI2yH8dNNPbrf9ZMMn3PHDHTWW1yaGBGdQrtVfR//imlnX8HTfp3nq0qf8dvzrZl/HqkOr1O+B7Fgz4zM5XHqYzPhM9XftL9rPzXNudrptuKHtQCVJqjFUMHTmUNYfW8/+B/dzquIUfT7sw+Dcwcy7eZ7T4208vpGLZlykfn/4wod56YqXGDp0KEOHDqWyspIVK1Ywb9485s+fz65du1i+fDnLly8H5KGs888/n/PPP59u3brRrVs32rRpI2cirgM/7fyJq7+8Wv5SCRwH8qB3VW82rt1IZeWZTOuZmZn84x//YE3jNfyt+5uBwwcSEyMnC3Ssw0xjJnGGOBJjEimrLgvLOvYGpfzzd89n/u75fHrNp9zS5Ra3+9w852YW713M+n+up2sTeX6REDW+o1wzk8WEyWzi2+3fOu1PtGTGZ9KhQwdV1ISDB5QQNX4k3ZhOUWWRxybUXfm77P73ZNuWKS1pmy4HOcpNz+W85uf5WNqGx4A2A7i1662sPrSanfk72VVQ+3X3BuV4F2RfwLB2w0iISfDr8bU8c+kzzN05l345/YjRxzCu1zi2n9peY7vs5Gwub315wMrhK6pnz+lEnI6TOncV7EJCYm/hXo6VHVOXucKxDTluGxcXx8CBAxk4cCBvvPEGu3btYv78+SxevJjffvuNwsJCli5dytKlS9V9EhISaNu2LW3atKF169a0atWKRo0akZmZSWZmJvHx8URHR2MwGIiKiqK8vJzS0lLKyso4ceIEBw8e5NvV38IG0J/UY80/E3X1D/4AoEmTJgwZMoQbbriBfv36YTAY6Dy1M5ywfzAPPXsoN3e+mWNlx0iKTeLO7ncC8MqAV9iVv0vtEyKVGzvfyJrDa1h9aDV5JXme9Ymn63hXwS4havxAcmwyep0eq2SlsLJQrYPs5GzaZbSrsb1Op2NMtzEcrDwIwNatW4NaXlcIUeNH0o3p7C3c693scTwbw1S2uePcO3iy75O+F7IBEx8dz8fDP2bG3zMY88MYv04Ytkk29Xhfj/iaZknN/HZsZww7ZxjDzhmmfn97yNsBPZ+/SYxJxBBlwGKzUGAqsBM11dZqyqrlbN0FpgKP2okrzy9XtG3blrZt23L//fdjs9nYtm0bv/76K+vWrWP9+vVs2rSJ8vJy1q9fz/r16338lWewIgsaY4YRU6aJa4dcy7N3PEuHDh1qWKmcPZhT4lL47NrPahz37h5317ls4UCzpGbMvn42jy99nP/88h+v+kTttkLU+I5OpyPNmMapilN26ThGdRnFC/1fcLnf3P1zASFq6iU+BS9Cjgtgk2xE6VybusN50mekEQgvqNKqUmyS7D4cjnFhwg2dTke6MZ0T5ScoMBWQnZytrtO6eWtFTaHJdTtRtmmW1IwjpUe8qtuoqCg6duxIx44d1WUWi4Xdu3eze/du9uzZw549e8jLyyM/P59Tp05x6tQpTCYTFosFs9mMzWYjISGBxMREkpKSSE9Pp2XLluw072RD5QZGXT6KV297lSdWP8F7696jc9/Odudz9lsaYlv3dDK/2WqmpEqe7C1Ejf9IN6ZzquKU3O48fOZ06NABgB07dmC1WtHrQ5tgWYgaP+Jt7A2lAdokGyVVJaTGpda6rWisdScQokY5ltFg9Ovk4/qMImoc24vjQ0r5LiFRXFnsNNCcsk1ueq7XosYZBoOBc845p84TH0d+PZINWzbQ86KeZGZm1nrvmcwmKi3yPJuG2NY9bZvaDPR294t4+asTWq9ET585rVq1Ii4ujsrKSvbv30+bNm0CXk53CJduP+KtW6L2baS2fYSo8R+BFDWifjyntqCByt/aCKeu6kwVNWm5brcLNo73RW33nvJb9Tq9mg+pIeFp23RmnYEzL5TCWuob2uvvqXu8Xq9XxX84DEEJUeNHlDdIb4efPNlHPDT9hzYcuDJkVFdE/XhPbYk4lb89aSfKC0JuuixqTJYzFo9Q4q2oUYPHGRtm8Li6ihrRDuuG9vp7k2alffv2AGzZsiVwhfMQIWr8iLfB3XwRNeINpO4o4tMm2SitKvXLMbUPI4FnuHqAOVpmPGknylvlWalnodfp7ZaFEkfLQW05jhr6Q9nToIx21hknlryGev3qijNR48m1VCw1O3bsCFzhPESIGj/i60RhcN8Bm61m1RtENNa6E2eIUyPy+muYQiQY9R5Ph588stScXp5hzFDnpoXDEJSvlpqGeh8pv7uossitFdXVkGRDv351Rblu+aZ8IWoE3osaRy8Pl9tpGrC7ycQCz/H3vBq1A4gTnamneCJqCisLXb6VO9vHXdqIYGOxWSiuKgaEqPEUrRVV8W5yhjMhU2WpotxcDjTc61dXlOt2sPggVslqt8wd7drJcWy2b98e8hxrQtT4EW86U0mSPB5+UtalxqWijwqtu1x9IWCiRnSmHlNbIk6A/Ip8j8R/OIoarYeO8rDWls2ZJaKh30dxhjg1ZpGncYm0oTEAdOhIiUsJYCnrL8p9t6dQzuMUZ4jzyJuzbVs5+GNhYaF9uo8QIESNH/GmMy03l6t5XGrbp6F3dIFAiJrQ4yoEgrZOjpUdo8pa5XSdguMberiIGuX8ybHJah4jZc6Iq/lcwuLnWdvUrqswV1BpqbSb1+Yu5pfANcr9ua9wH+B5fxYfH89ZZ50FhH4IStS8H/F0PBicmNzdTC4WD0z/I0RN6PFk+Ekr/J1tCzXf0MNN1GjvCW2Gdae/RZlY3IAnnHsrakC+bsKdu+4o116bONVTtENQoUSIGj+ifQtzNx4M7jtyV9uKB6b/EKIm9Hji0u2Is3WOb+hal/1Q4uqecHfvieBxPooazdyrhnzt6orjtfNGICqiRlhq6hGxhliPxoOdrReiJrh46jrqKaKOvMcTl25H3IqauJrzVkKJK8uBO7ducR/5Jmq8dUEWOMeVAPeEcPGAEqLGz3gbPEqHHGDLnUu3MKv6H3+/zSvHacjDBt6i1EFpdSlma835ZUrb0P7tbsjGUw+jYOGTpUY8mNV+zl2f6HiPCFHjHxz7LzH8JPBa1LRIaVHr9qKx+h8x/BR6tOEJFFFok2zqw0yb5FL52xMhIERNZOONpUZ7X4hrV3cMUQaSY5PV776Imr1791JdXe33snmKEDV+xltR0yatjfrdlX+/GGf3P/588DX0JIS+oo/S1wiUV1xZjITcDtqkn0mMp/xdWFlYo504Psz8PbToKy5FjZscceLBXHtkdptkU0Wwcl8IUeM/tNfPm2vZvHlzEhISsFqt7NmzJxBF8wghavyMpw9L5W1UETVV1ipMFpPTbUVj9T/+FDXKMRpqEsK64FgPyv8J0Qk0SWyibqckqqy2VlNhrrA7Rthaaly8jLgqn8VmUR0MGnJbr63+SqtKVe9S7UuhePnzD76KGp1OFxaThQ0hO3M9xZPxYDjTYFumtMQQZcBis1BgKlAnGjvbVjRW/xEIUZNuTG+QSQjrQroxnb2Fe9X2YhdETxOrpUVKC6KjojHbzBSYCkiISVDXha2o8XL4SRusryFHDvc06rLRYKR5UnN1mZh76B+018/bZ85jjz2G2WzmvPPO83exPEaIGj/j8fDT6beKjPgM0o3pnCg/QYGpwG4egbqtEDV+R1tPkiTVSYyI+vEdV5YabRA9kHM6pRvTOV5+nAJTgToXDWpaRJT/i6uKsdqsIYvC7a2ocRasryHiTSoJ7YR/0Q79g/b6eSsQr7vuOn8Xx2vE8JOfqW08WMFZw/SkEQv8gzLL392wn6eI+vEdx/kv2sSgdp2rMa1WMeCYCRvsrR/BxluXbnEfyXjTHyrXUsyp8R++Dj+FCxEhavbv388dd9xBTk4ORqORNm3a8NRTT4V0hrUrvJ0obPe24WTIyibZ1I5ZmFX9R1JMEnqd/AZf21BhbWiDvwm8w1NLjTvx7+jSrfXgCOUQlK+Wmkh8kPgT7RC+M+cJVy+E4vr5h0gXNRFh49y+fTs2m43//e9/5ObmsnnzZu666y7Ky8uZMmVKqItnR11EjbN9SqpK1Elx4qHpP3Q6HenGdE5WnKTAVEDz5OY+H0trXRB4hytRkxaX5rGocfYwSzemU1JVEjJRo01YK0SNdyi/X7GiOs4zdNZ3niw/qb78NfTrV1eEqAkCgwYNYtCgQer31q1bs2PHDqZOnVovRI07F1RlWXx0PHGGOH8WtcGjFTV1Qa3LBpyE0Fcch2t9sdS4EjX7i/aHTNSUVpdilaw1yqX9LkSNcxJjEt06Tzi7Rw4UH1DXi5e/uqFcU71ObxezJlKICFHjjOLiYtLTw6/xKzdEXnEez654lpEdR9Iusx37i/bz2cbPMFvN2CSb6pZam6VGdHSBw19eMqKOfMeb4Sd1WEIzF8Vqszp9Q1f+/uDvDzhZcZJRXUb51TPt842fszN/JzH6GEZ1HUXLlJZsPbmVNYfWMLrbaPV3xBniMEYbnf7mSkslJrMJfZSe99e9z7fbv5XXN3BxrFhRXTlPqNG7Hax5IAuiGH1M0MpaH1GuaZoxLSK9OSNS1OzZs4e33nqLV155xe12VVVVVFVVqd9LSkoCXTQ1tkZpdSlPLX+KlQdW8vOtP/PIz48we8tsu22NBiPJsclC1IQIIWpCj+N8Mu21bJzYGB06Yg2xpMQ6z75dXHUmWJ/2Db1pYlMAvtn2Dd9s+4YujbvQrUk3v5R5y4kt3PLtLer37fnb+fSaT7nnx3v45eAvtElvQ2JMot3v06LM57JKVgpMBaw6tIrx88efKXtSU7+UM5LRihpHHK3csfpYqqxyP6/Uu8B3lGsYqdcypKLm6aef5plnnnG7zdq1a+nZs6f6/ciRIwwaNIjrr7+eO++80+2+kydPrvX4/qZJYhNmDJvB3J1zmbNtDodKDgGy5QZgSNsh5KTmADCgzQC7rMLOPKbEAzNwCFETehzrwNH76ZNrPpFFQJTeaX0pfzu+oT/Z90kaxTfii81fcKzsGIdKDvlN1OSV5Nl9V9v46eWHSg7ROKGx3e/Top3PVVhZqPYN7TLacc0513BPz3v8Us5IxtMXvWh9NDOvm8mSfUvQoeMfHf4R1HLWR3o3781rA1+jV7NeoS6KT4RU1IwfP54bbrjB7TatWrVS/z5y5Aj9+vXjggsuYNq0abUef9KkSUycOFH9XlJSQosWLdzs4R9GdxtNj6Y9mLNtTg2z+sMXPkzfVn3ttheWmtAgRE3ocZxP5ngtb+lyxiLiTtQ4Xvvc9FxeGfgKW05u4VjZMb/OrXE1F0b7f3RUtNNyKWjncyn7Xd76ciZfPtlv5YxkvOkTr2l/Dde0vyZ4havn6HQ6Hjz/wVAXw2dCKmoyMzPJzMz0aNvDhw/Tr18/evTowYwZM4iKqt0bPTY2ltjY2LoW0ye0jdKdJ4R2mTPXYtVdtYGPswcCZ3M0fEGIGt/RBk+zSTaP2on2QVdbFFl/CVctyrFapbZSJyNrUxxoRY2rcon4Ku5x1yeK6yVwR0TMqTly5AiXXnopLVu2ZMqUKZw8eVJd16RJEzd7hg6lwVklKyVVJW7dfj15KxEz+v2Pvx546sRFUUdeo1wzm2SjuLLY7f3ujaXG3T51RTlWbnquKmq0Qf48tdQo24qcRTXxxCNUXC+BMyJC1CxatIjdu3eze/dusrPtZ8K7ymwdaozRRuIMcVRaKjlYfBCLzQI476zdNmDR4QUMfzzwzFazSEJYB+IMccRHx1NhruBQySGqrXJATU/Ff20PuEBk7FasB7lpufzMz1SYKzhSesSuTF6JGvGQroGrtlmb1VsgiIiIwqNHj0aSJKefcEbpUHcX7AYgVh+L0WCssZ3SOEurSzFbzXbrRAMOHP4QNSIJYd1R6kFpJ9FR0SREJ7jcrtxcTpVF9nbx1FJT1yFGLcqLRqvUVuiQXV73FOw5s94DoaIMJ2u3FRHDz+DKecJkMameTqJPFDgjIkRNpKI0uj2Fe9Tvzvz+tQ9DkQ8mePhD1Cj7psSmNOgkhHXB03aSEpeiigilnYRy+CkjPkO1vCplV8pWm4VVWy7HNA8C1/WmXCu9Tq+6zQsEWoSoCSCOb6CuOi19lF4VNiLKaPDwp6gR9eM7qqgp2GP33ZEoXZTaTtS4Nl6IB3/hLECg0saV9bUJFa0FSdxDNfEk6nIkBoYTBB4hagKIszfQ2rYVoiZ4uBv28xRRP3VHHaYtdC/+tetcuYDXtr0/cCZqtJYaj4afTi8XOYucI/pDga8IURNAPLXUaNdpXRglSRKm6QCiHfbTzo3xBtHJ1h1f2okarC+ELt3uLDX5pny35VKGrfYV7XMaEbmh48qlW7Q3QW0IURNAlIZ3sPgg4L7Tctb5aifFiUmE/kcfpSclNgXw/aEnMnTXnbq0E48nCpsK1Wz3dcHR+8ax7AAWm4VjZcc8Kpeyn8hZZI/S3zlaUYWoEdSGEDUBRGl4SmfqLoCeM9dT5W9DlEFMigsQdX2TF54rdcebduKtqFEEkoREcWVxnctabi5XwzOkG9PVsjoKJvW31CJqatuuoeLKeUKIGkFtCFETQBwbnrdzasSkuMDjL1EjOlnf8bWdeBKzJEYfo7qH+2MISjmGEp7BXVn1Oj3JsclO13nzmxsirpwnRHsT1IYQNQHEn6JGEBiEqAk9vraTcnM5ZpvZq33qiuOLhrvzphnTXL6MOMY0EvdPTUSfKPAFIWoCiOOQhEcdb6VowMFEiJrQ45OoqTzjYRSjjyE+Or7WffwRgM8xjYPj/B+9Tl/jvM4wRBnU+Vwghi+d4axtqilJxPUSuECImgAiLDXhjxA1ocebdqImITUVejw8GyhLjbOynpV6Vo3z1lYuT7ZtiIg+UeALQtQEECFqwp+6ZuoWdVR3fLJoagLc1fbWHkxRk5ueq/5dW7m0Vh5x/9RE9IkCXxCiJoA4NjxPXFW1cRnUGDVuvEEEdUNYakKPL+3Em0SQ/hQ1jnGjHM/dJq1NjfPWVi5Ptm2IKP2etk8U7U1QG0LUBJDk2GSPx9jdvZWIoFyBoy4PPJtkOzPGL+rIZxJjEu3yZnnaTkIhatRzxtUUNUaDkeZJzWuct7ZyebJtQ0RpU8JSI/AGIWoCiE6nUxtmlC7KpXsn2A+DKLErastrI6g7dXnglVaVqnUlJi76jtaLSIfObgKtI8p2RZVFnKw4abfMFc5iQPmK40NVW+9pxjSvhIrWAivaeE0cnSfMVjOl1aV26wQCR4SoCTDazi9K5/pyK+LHJtkoqSoBxFtJMKiLqFH2MRqMGKONfi1XQ0Oph9S4VPRRepfbaYPp7SvcZ7dvbcf2i6hxeNGI1keTFJOkLvNK1AhLjVsc6007783RJV4gUBCiJsC4Gnt3JM4Qp7qlehotVVB3/CFqRP3UHU/bSYw+Ro2u7UkCTO36QFhqtH8LUeNfHOtN+b824Sto2AhRE2A87ay12whREzy0MUy8zQ0k6sd/+NJO9hTs8WifQMSpEaIm8NSw1IjkvgIPEKImwChj7p5MJBWiJvhoh/1Kq0q92lfUj//wpp0o2+aV5Nl9d0UgLDXacip/p8el2y/3wqVbzMmqiav+UFwrgTuEqAkwvryBFpoKMVvNlFWXebyvwDfiDHEYDfJ8GG8fekLU+A9f2omr7662V/JFnSw/yYQFE9h8YnONbW2SjSeWPsG8XfPslv+892du+uYmjpcdr3FOdd6ctxOFT6+vLSJyQ0U7Kdwm2UR7E3iEEDUBJic1x+5/d9gFFtOYyt15gwjqjq9v8kodiU627njTThy3aZXayu32Sv1UW6upMFfw+abPeX3N67z020s1tl1zaA3P//I8ExZOsFv+0OKHmLl5JmabGaPBSOOExk7LnhybTLoxnVh9LE2TmrotV6vUVujQkZOaIxLWOkGxyCjOE0LUCDzBUPsmgrrwz57/pEVKCwa0GVDrtlrXUzEpLnikG9M5XHrYZ0uNMIfXnbt73E3z5OYetZOXrniJ3s17U22tpm1GW9pltnO7fXx0PNFR0ZhtZgpMBaq15UT5iRrbHi93vk7Z59E+j3J1u6tJiElQ1/374n/Tu3lvrjr7KqJ0Ufw86mcqzBVuQzgAtExpyeJRi2me3Nztdg2VWEMs8dHxVJgrvIpLJGjYCFETYOKj4/lHh394tK0vgcUEdcdXS42oI/9hjDZ63E4y4zP5Z89/enxsJQ7O8fLjdm3LWX0ry4oqi7DarOij9EiSpC6/t9e9tExpabdPSlyKXdnPbXqux2Xr37q/x9s2RNKN6ULUCLxCDD+FEdpgU6IBBw8hauo/zoZ2teH3FbTLiiqLADBZTFRZqwBhlQs2di96IhipwAOEqAkjhKUmNAhRU/9x1rbcWWqAGuLHEGVQY+QIgoPoEwXeIkRNGCEacGjwNY6JqKPIQVvHjkNMWpzlGdLWs5jQG1zsLGwiTo3AA4SoCSO0Lt0iQ3fw8DU3kBA1kYOzFwYJieKqYrvtlCEOZVvt/6Keg482U7eYmC/wBCFqwghhqQkNYvip/uOsbSnftdRmqREEF9EnCrxFiJowQmsxyDfly8s8iLAqqBu+iBqTWTN5VNRR2KO0rePlx9VMzyBETbijtK1TplMiLpTAI4SoCSOUxlplreJw6WG7ZYLA4YuoUbbV6/RqlmZB+KLU8d7CvXbLhagJb5Rrvr9ov5qbTbxECNwhRE0YkRiTiCFKDh20u8CzDMSCulMXUSMmj0YGSh0r7UrB0a1b+13kHAo9jvUWHx1PnCEulEUShDlC1IQRSpAwgCOlRwAhaoJBXUWNIPxxbFcK2jq32Cx2E4eFpSb0iP5Q4C1C1IQZ3ibrE9Qd7bCfyWzyaB/xoIssXNWTVtQowfYc14mgb6FD9IcCbxGiJswQjTj4JMYkotfJ+bU8tdYIURNZeCJqHOveMfieqOvgI/pDgbcIURNmODZaMY4feLTDfkLU1E9cihoncWkcv4u6Dh2iPxR4ixA1YYa2EcdHxxNriA1haRoO3ooa4V4aWaTEpaDjzITuGH0M4NxS47hOiJrQkRCdoDpPgKgDQe0IURNmaN9ERAMOHr5aasSbY2QQpYsiNS5V/d46rTXgXNRo12kzdIu6Dj5aKyqIPlFQO0LUhBmiAYcGMfxU/9HWVW56LmDvwq38rayz2CwUVhaqwfpEXYcG0ScKvEGImjBDNODQIERN/cdO1KTJwsWZpaZ5UnNi9fKw756CPep6raVHEDxEnyjwBiFqwgzRgEODt5m6haiJPLR11Sa9DXBmiEn5GyDDmFEj6FtqXCr6KH0wiys4jegTBd5gqH0TQTCxa8AiQ3fQ8DZTtxA1kYez4SezzUy5uZzEmETVEyrNmEa6MZ2jZUfDOrK31WrFbDaHuhgBp01SG85KOAuAzJhMKisrQ1wiQSCIjo5Gr6/7i4MQNWGGeCsJDWL4qf6jravs5Gyio6Ix28wUmApkUaOpU2XbPYV7auwbaiRJ4tixYxQVFYW6KEHh+mbXMyhjEABplWns27cvxCUSBIrU1FSaNGlSp9QzESdqqqqqOO+889iwYQN///033bp1C3WR/IoQNaHBG1FjtprF5NEIRFtXyhDT8fLjFJgKaJnS0k7UKEkTw1HUKIImKyuL+Pj4ep97LKE8gRPlJwDISc8hxhAT4hIJ/I0kSVRUVHDihFzPTZs29flYESdqHn74YZo1a8aGDRtCXZSAoHUbFdlog4c3okYbTl9MHo0cHNuWVtQATi01yvBTuLhzW61WVdBkZGSEujhBIc4aB1Xy3wnxCWJuUz3FaDQCcOLECbKysnweioqoicLz589n0aJFTJkyJdRFCRjah2Q4vR3Wd7wRNco2KbEpooONIJQ6NhqMxBnizkwON9VMh6DMZztWdsxu31CjzKGJj48PcUmCh5LCRIeOKF1EPbIEXqLc13WZKxYxd8jx48e56667+PTTTz1u0FVVVZSUlNh9wh19lF4VNuHSkTYEahM17/zxDiO/HonZahbzaSIUpb4c/3cMsqe11DjuGy7U9yEnLUpEYX2UvkH97oaIP+o3IkSNJEmMHj2ae+65h549e3q83+TJk0lJSVE/LVq0CGAp/UfHRh3R6/ScnXF2qIvSYFAeWqXVpZitNd8SXvj1BWZvmc3aI2uFqIlQ2jdqjw4dHRp1AOxFTWl1KVbJCshDTR2zOtrtq+wjCD5xhjhAtrAJBLURUlHz9NNPo9Pp3H7+/PNP3nrrLUpKSpg0aZJXx580aRLFxcXqJy8vL0C/xL/Mu3keO8bvIDs5O9RFaTBoh/20c2YU8ivy1f+FqIlMctNz2TF+B3NGzgHsRY1Sp3GGOIzRRoa1G8afd/3JwlsW8sedf3BjpxtDVu6GTqwhlk5ZnVQ3fF9p1aoVr7/+un8KFWL279+PTqdj/fr1ACxfvhydTtdgPOLcEVJRM378eLZt2+b206lTJ5YuXcrq1auJjY3FYDCQmyvf3D179uS2225zefzY2FiSk5PtPpFAcmyyGhxMEBz0UXpSYlOAmkNQJrOJKqs8U7GwslCImgimbUZbEmMSAeeiRlmm0+no0awHA9oMoFfzXmLYww+MHj1afVk1GAy0bNmSe++9l8LC2gNexhniInL+2oIFC9DpdBw7dsxueZMmTWqMHBw6dAidTseiRYuCUjZtfURHR9O4cWOuuOIKPvzwQ2w2m1fH+uijj0hNTQ1MQb0kpN5PmZmZZGZm1rrdm2++yfPPP69+P3LkCAMHDmTWrFmcd955gSyioAGRbkynuKq4hqhxDKWvnVAqiFzUgIuVNUWNIDAMGjSIGTNmYLFY2Lp1K2PGjKGoqIiZM2eGumgB4aKLLsJgMLB8+XJuuOEGALZt20ZlZSUmk4ndu3erL+nLli0jOjqaPn36BK18Sn1YrVaOHz/OggULeOCBB/j666/54YcfMBgizkE6MubUtGzZkk6dOqmfs8+W55q0adOG7GwxRCPwD64mC9cQNZVC1NQH3FlqIglJkiivLg/JR0kx4SmxsbE0adKE7OxsBgwYwMiRI+0sE1arlTvuuIOcnByMRiPt2rXjjTfesDvG6NGjGT58OFOmTKFp06ZkZGQwbtw4O4+ZEydOMHToUIxGIzk5OXz++ec1ynLw4EGGDRtGYmIiycnJjBgxguPHj6vrn376abp168aHH35Iy5YtSUxM5N5778VqtfLyyy/TpEkTsrKy+M9//uPy9yYmJtKrVy+WL1+uLlu+fDkXXXQRF110UY3lvXv3JiEhgQULFnDRRReRmppKRkYGV111FXv27Kl5AheYTCauvPJKzj//fAoKXHt0KvXRvHlzunfvzmOPPcb333/P/Pnz+eijj9TtXn31VTp37kxCQgItWrRg7NixlJWVqeW+/fbbKS4uVi0/Tz/9NACfffYZPXv2JCkpiSZNmnDTTTepsWgCReTJMIEgQHgqapQ5N+ESu0TgG1qX7ki2vlWYK0icnBiSc5dNKiMhJsGnfffu3cuCBQuIjo5Wl9lsNrKzs5k9ezaZmZn8/vvv3H333TRt2pQRI0ao2y1btoymTZuybNkydu/ezciRI+nWrRt33XUXIAufvLw8li5dSkxMDPfff7/dw1SSJIYPH05CQgIrVqzAYrEwduxYRo4caSc09uzZw/z581mwYAF79uzhH//4B/v27ePss89mxYoV/P7774wZM4b+/ftz/vnnO/2d/fr14+uvv7Yr+6WXXorNZmPZsmXceeed6vKbb74ZgPLyciZOnEjnzp0pLy/nySef5JprrmH9+vVERbm3RRQXF3PVVVcRFxfHkiVLSEjwrn4uu+wyunbtypw5c9SyRUVF8eabb9KqVSv27dvH2LFjefjhh3n33Xe58MILef3113nyySfZsWMHIIs5gOrqap577jnatWvHiRMnmDBhAqNHj2bevHlelckbIlLUtGrVyus3BIGgNrwVNZH4ABScwamlRuRbCyg//vgjiYmJWK1WNYfTq6++qq6Pjo7mmWeeUb/n5OTw+++/M3v2bDtRk5aWxttvv41er+ecc87hyiuvZMmSJdx1113s3LmT+fPns3r1anV6wgcffED79u3V/X/++Wc2btzIvn371Lktn376KR07dmTt2rX06tULkEXWhx9+SFJSEh06dKBfv37s2LGDefPmERUVRbt27XjppZdYvny5S1Fz6aWX8sILL3D06FGaNm3KihUreOihh7DZbKoVKi8vj3379tGvXz8ArrvuOrtjfPDBB2RlZbF161Y6derk8voeP36ckSNH0qZNG2bOnElMjG/Rl8855xw2btyofn/wwQfVv3Nycnjuuee49957effdd4mJiSElJQWdTkeTJk3sjjNmzBj179atW/Pmm2/Su3dvysrKVOHjbyJS1AgEgcBVpm6tqCmsjOy3esEZnImaSIziHR8dT9mkspCd2xv69evH1KlTqaioYPr06ezcuZP77rvPbpv33nuP6dOnc+DAAUwmE9XV1TXS4XTs2NEu4mzTpk3ZtGkTIM9ZMRgMduE/zjnnHLuJrNu2baNFixZ2k3U7dOhAamoq27ZtU0VNq1atSEpKUrdp3Lgxer3ezlrSuHFjt0Mqffr0ISYmhuXLl9O1a1dMJhPdu3dHkiRKSkrYtWsXq1atIjY2lgsvvBCQLURPPPEEq1ev5tSpU+rE3YMHD7oVNZdffjm9evVi9uzZdUoOKUmS3eT4ZcuW8cILL7B161ZKSkqwWCxUVlZSXl7u1hL0999/8/TTT7N+/XoKCgrsfkeHDoEJkxARc2oEgmDgqaUmkudfCM6g1F+5uZyjZUftlkUSOp2OhJiEkHy89QpLSEggNzeXLl268Oabb1JVVWVnmZk9ezYTJkxgzJgxLFq0iPXr13P77bdTXV1tdxztkJVyDZQHpmLFd1c2x4e2q+XOzuPu3M6Ij4+nd+/eLFu2jGXLlnHRRReh1+sxGAxceOGF6vILLriAuDg5Js/QoUPJz8/n/fffZ82aNaxZswagxnVw5Morr+SXX35h69atbrerjW3btpGTkwPAgQMHGDJkCJ06deKbb75h3bp1vPPOO4D7yL/l5eUMGDCAxMREPvvsM9auXcu3337r0e+oC8JSIxCcRvWGEd5PDYKUuBR06JCQwjJxZUPgqaeeYvDgwdx77700a9aMX375hQsvvJCxY8eq23gzQRagffv2WCwW/vzzT3r37g3Ajh077GK4dOjQgYMHD5KXl6daa7Zu3UpxcbHdMJW/6NevH19++SWFhYVceuml6vK+ffuyfPlyVq1axe233w5Afn4+27Zt43//+x8XX3wxAL/++qtH53nxxRdJTEykf//+LF++3CdryNKlS9m0aRMTJkwA4M8//8RisfDKK6+oFqrZs2fb7RMTE4PVarVbtn37dk6dOsWLL76oXuM///zT6/J4i7DUCASn8cRSk1+RL7yf6glRuqgz2bgLhKgJBZdeeikdO3bkhRdeACA3N5c///yThQsXsnPnTp544gnWrl3r1THbtWvHoEGDuOuuu1izZg3r1q3jzjvvVBMmgjxM06VLF26++Wb++usv/vjjD2699Vb69u3rVdR6T+nXrx+7du1iwYIF9O3bV13et29ffvzxR/bv36/Op0lLSyMjI4Np06axe/duli5dysSJEz0+15QpU7j55pu57LLL2L59u9ttq6qqOHbsGIcPH+avv/7ihRdeYNiwYVx11VXceuutgOxlbLFYeOutt9i7dy+ffvop7733nt1xWrVqRVlZGUuWLOHUqVNUVFTQsmVLYmJi1P1++OEHnnvuOY9/h68IUSMQnMaVqNHOsSmsLMQmyabmSJx/IbBHqfOTFSftvguCx8SJE3n//ffJy8vjnnvu4dprr2XkyJGcd9555Ofn21ltPGXGjBm0aNGCvn37cu2113L33XeTlZWlrtfpdHz33XekpaVxySWXcPnll9O6dWtmzZrlz5+mcsEFFxAbGwtAjx49/r+9O4+K4krbAP4U0DQNDY1GoBtFGmKiEiIILsEYMc64kNFxG0WNDo4eEh33JKPJpxGMifuS5GgY5SRAEoyOcYkZc9wVt3FEghHFoFFcohBGJYCsQt/vD0OFZleWptvnd04dqapbVbfeulIvtzZ5evfu3VFWVgaVSiXf1GxlZYXNmzcjKSkJvr6+mDNnDlauXPlI21u7di1Gjx6Nfv364dKlSzWW27NnD3Q6HfR6PQYNGoTDhw/j448/xjfffCPfk+Pv7481a9Zg+fLl8PX1RXx8PJYuXWq0nl69emHKlCkIDQ2Fi4sLVqxYARcXF8TGxmLr1q3w8fHBsmXLmuVj1JJ4gh4jys3NhUajQU5Ojtm8XZiaz7Hrx9Antg+eaf0MLs34/RfBHz//Iw6mHzQqa6+wR/7/5Td3FamR9YjugcTbv/cEJL2WhABdgAlrVLuioiKkp6fDy8tLvv+CyFLU1r7re/5mTw3Rb+pz+akc31FjGVr617iJ6NEwqSH6TcVHussvMQHVJzU8+VmGyseRySqReWNSQ/Sb8ntkDMKAvOI8eXp5UlPxnRxMaixDxeNoLVnDScnL0kTmjEkN0W/sbOygsnn4hER5IvOg7AHySh4mOB1ad5DLMqmxDBWPYytVK36Nm8jMMakhqqDyfTUVn3zycvaqUo7MW8XjyGNKZP6Y1BBVUDmpKf/X2c4ZLvYuVcqReWNSQ2RZmNQQVVClp+a3twe3smvFE6AF4jElsixMaogqqKmnprWqNU+AFqji0048pkTmj0kNUQX1TWr46K9l4DE1f9euXYMkSTh79qypq9Li6PV6fPjhh6auRrNiUkNUQcV31QDGSU3FzyLwr3rLwN635rN06VJ0794djo6OcHV1xbBhw5CWltYs2+7bty8kSYIkSVAqlWjbti2GDBmC7du3N8v2m1LFfas4lJaWIjExEa+99ppctvzzEJaMSQ1RBZW/1M3LT5aNiWrzSUhIwLRp03Dq1Cns378fpaWlGDBgAPLzm+dzI+Hh4cjIyMBPP/2Ebdu2wcfHB2PGjDE66TeVkpKSJl1/+b5VHGxsbODi4gJ7e/u6V2BBmNQQVcB7ap4stta2UNuqAfCYNrU9e/Zg4sSJeO655+Dn54eYmBjcuHEDSUlJchm9Xo8lS5Zg0qRJcHR0RPv27bFx40aj9Zw+fRpdu3aFnZ0dunXrhuTk5Hpt397eHlqtFh4eHnjhhRewfPlybNiwAdHR0Thw4IBc7tatWwgNDZW/lj106FBcu3ZNnl9aWoqZM2fC2dkZTz31FObNm4ewsDAMGzZMLtO3b19Mnz4db7zxBtq0aYP+/fsDAFJTU/HKK69ArVbDzc0NEyZMwJ07d+TlhBBYsWIFvL29oVKp4Ofnh6+//rre+1ZxKI9n+eUnvV4PABg+fDgkSZLHLQ2TGqIKqiQ1RUxqLF35sTTbYyoEkJ9vmqEB30POyckBALRubRz31atXy8nK3//+d0ydOhU//vgjACA/Px+DBw9Gx44dkZSUhMjISLz11luPXYewsDC0atVKvgxVUFCAl19+GWq1GkePHsXx48ehVqsxaNAgubdl+fLliI+PR0xMDE6cOIHc3NxqL+nExcXBxsYGJ06cwIYNG5CRkYHg4GD4+/vjzJkz2LNnD3755ReMHj1aXmbBggWIiYlBVFQULly4gDlz5mD8+PFISEh47H0sl5j48MOtMTExyMjIkMctjniC5OTkCAAiJyfH1FWhFurAlQMCkRDPrX9OCCHEoC8HCURCxCTHiJLSEtHh4w7C/5/+wmAwmLim1FgmbJ8gHJc4ilu5t0xdlToVFhaK1NRUUVhY+PvE+/eFeJheNP9w//5j7YfBYBBDhgwRvXv3Npru6ekpxo8fb1TO1dVVREVFCSGE2LBhg2jdurXIz8+Xy0RFRQkAIjk5ucbtBQcHi1mzZlU7r2fPniIkJEQIIcSnn34qOnbsaPT/u7i4WKhUKrF3714hhBBubm5i5cqV8vzS0lLRvn17MXToUKPt+fv7G23n3XffFQMGDDCadvPmTQFApKWlifv37ws7Oztx8uRJozKTJ08WY8eOrXXfFAqFcHBwkIc33nhDCPEwnmvXrpXLAhA7duyocV2mVm37/k19z982Js2oiFqY2t5To7BW4MLfL8BKsuLr9C1I3LA4FJUWQaVQmboqT4zp06fj3LlzOH78eJV5Xbp0kX+WJAlarRZZWVkAgIsXL8LPz8/oPpGgoKAG1UUIIf9/TkpKwk8//QRHR0ejMkVFRbhy5QpycnLwyy+/oEePHvI8a2trBAYGwmAwGC3TrVs3o/GkpCQcPnwYarW6Sh3K111UVCRfqipXUlKCrl271roPr776KubPny+POzs711rekjGpIaqgtntqgIf3YJBlkSTJvBMae3vg/n3TbfsRzZgxA7t27cLRo0fRrl27KvMVCoXRuCRJcsIgGnC5qzplZWW4fPkyunfvDgAwGAwIDAxEfHx8lbIuLr+/UbzyHzXV1cvBwcFo3GAwYMiQIVi+fHmVsjqdDufPnwcA7N69G23btjWar1Qqa90PjUaDDh061FrmScGkhqiC8uSluKwYhQ8KqyQ1RC2OJAGVTqAtkRACM2bMwI4dO3DkyBF4eXnVvVAlPj4++OKLL1BYWAiV6mEieurUqceuU1xcHLKzszFy5EgAQEBAALZs2QJXV1c4OVX/xXY3NzecPn0aL730EoCHiVFycjL8/f1r3VZAQAC2bdsGvV4PG5uqp14fHx8olUrcuHEDwcHBj71PtVEoFCgrK2uSdbcUvFGYqAK1rRrWkjUA4E7BHfl9NUxqiBpm2rRp+PLLL7Fp0yY4OjoiMzMTmZmZKCwsrPc6xo0bBysrK0yePBmpqan47rvvsGrVqnotW1BQgMzMTPz888/473//i3nz5mHKlCmYOnUqXn75ZQAPL+O0adMGQ4cOxbFjx5Ceno6EhATMmjULP//8M4CHPU1Lly7FN998g7S0NMyaNQvZ2dl1XpKeNm0a7t27h7Fjx+L06dO4evUq9u3bh0mTJqGsrAyOjo546623MGfOHMTFxeHKlStITk7G+vXrERcXV+8Y1Uav1+PgwYPIzMxEdnZ23QuYISY1RBVIkiQnMNd+vQaDeNjtXfF9JkT06KKiopCTk4O+fftCp9PJw5YtW+q9DrVajW+//Rapqano2rUr5s+fX+3lnOpER0dDp9Ph6aefxvDhw5GamootW7bgk08+kcvY29vj6NGjaN++PUaMGIHOnTtj0qRJKCwslHtu5s2bh7Fjx+Kvf/0rgoKCoFarMXDgQNjZ2dW6fXd3d5w4cQJlZWUYOHAgfH19MWvWLGg0GlhZPTwVL168GAsXLsTSpUvRuXNnDBw4EN9+++1j9WpVZ/Xq1di/fz88PDzqvE/HXEmisS9StmC5ubnQaDTIycmpsWuRqNO6Tki7m4bP/vwZJu2aBHuFPfL/r3leEEZUm6KiIqSnp8PLy6vOkyg1D4PBgM6dO2P06NFYvHixqatj1mpr3/U9f/OeGqJKyntqfrr3k9E4EdH169exb98+BAcHo7i4GOvWrUN6ejrGjRtn6qoRePmJqAo5qclmUkNExqysrBAbG4vu3bvjxRdfREpKCg4cOIDOnTubumoE9tQQVVGexFy5d8VonIjIw8MDJ06cMHU1qAbsqSGqpPLlp/KPXBIRUcvGpIaokvKkJqc4x2iciIhaNiY1RJVU7plhUkNEZB6Y1BBVUjmJYVJDRGQemNQQVcKkhojIPDGpIaqESQ0RkXliUkNUCZMaIvMSGRlZ5wcl6aHY2Fg4OzubuhpNhkkNUSVMaoga39GjRzFkyBC4u7tDkiTs3LmzShkhBCIjI+Hu7g6VSoW+ffviwoULRmVqWvZRHTlyBJIkQZIkWFlZQaPRoGvXrpg7dy4yMjIavH5TqrhvFYcFCxYgNDQUly5dkstaWkLIpIaoEmc7Z6NxvqeGqOHy8/Ph5+eHdevW1VhmxYoVWLNmDdatW4fExERotVr0798feXl5TVavtLQ03L59G4mJiZg3bx4OHDgAX19fpKSkNNk2gYcJXGlpaZNuIy0tDRkZGfLw9ttvQ6VSwdXVtUm3a0pMaogqsbayhkapkcfZU0PUcCEhIXj//fcxYsSIaucLIfDhhx9i/vz5GDFiBHx9fREXF4eCggJs2rQJAKDX6wEAw4cPhyRJ8ni5L774Anq9HhqNBmPGjKlXMuTq6gqtVotnn30WY8aMwYkTJ+Di4oKpU6calYuJiUHnzp1hZ2eHTp06GX3dGwBOnjwJf39/2NnZoVu3bti5cyckScLZs2cB/N57snfvXnTr1g1KpRLHjh2DEAIrVqyAt7c3VCoV/Pz88PXXXxutOzU1Fa+88grUajXc3NwwYcIE3Llzp977Vj6o1Wqjy0+xsbFYtGgRfvjhB7k3JzY2ts71tmT8TAJRNVqrWiOnOAc2VjZQ26pNXR2iGgkhUFBQYJJt29vbQ5KkRllXeno6MjMzMWDAAHmaUqlEcHAwTp48iddffx2JiYlwdXVFTEwMBg0aBGtra7nslStXsHPnTvz73/9GdnY2Ro8ejWXLluGDDz54pHqoVCpMmTIFc+bMQVZWFlxdXREdHY2IiAisW7cOXbt2RXJyMsLDw+Hg4ICwsDDk5eVhyJAheOWVV7Bp0yZcv34ds2fPrnb9c+fOxapVq+Dt7Q1nZ2csWLAA27dvR1RUFJ555hkcPXoU48ePh4uLC4KDg5GRkYHg4GCEh4djzZo1KCwsxLx58zB69GgcOnTosWJdLjQ0FOfPn8eePXtw4MABAIBGo6ljqZaNSQ1RNVqrWiP913S0VrVutF/aRE2hoKAAarVpEu/79+/DwcGhUdaVmZkJAHBzczOa7ubmhuvXrwMAXFxcAADOzs7QarVG5QwGA2JjY+Ho6AgAmDBhAg4ePPjISQ0AdOrUCQBw7do1uLq6YvHixVi9erXcy+Tl5YXU1FRs2LABYWFhiI+PhyRJiI6Ohp2dHXx8fHDr1i2Eh4dXWfd7772H/v37A3h4SW7NmjU4dOgQgoKCAADe3t44fvw4NmzYgODgYERFRSEgIABLliyR1/HZZ5/Bw8MDly5dwrPPPlvjfrRr185ovDyO5VQqFdRqNWxsbKrE01yZVVKze/duvPfeezh37hwcHBzQp08fbN++3dTVIgtUfsmJl56ImlflPyKEEPX6w0Kv18sJDQDodDpkZWU9Vh2EEHJd/ve//+HmzZuYPHmyUZJSWloq92qkpaWhS5cusLOzk+f36NGj2nV369ZN/jk1NRVFRUVyklOupKQEXbt2BQAkJSXh8OHD1SauV65cqTWpOXbsmFFMWrWy/PsDzSap2bZtG8LDw7FkyRL069cPQogmv5GLnlxMashc2Nvb4/79+ybbdmMp7ynIzMyETqeTp2dlZVXpvamOQqEwGpckCQaD4bHqcvHiRQAPE6XydURHR6Nnz55G5covf1WXeJUnRpVV7NkqX/fu3bvRtm1bo3JKpVIuM2TIECxfvrzKuirGqTpeXl4W/fh2dcwiqSktLcWsWbOwcuVKTJ48WZ7esWNHE9aKLBmTGjIXkiQ12iUgU/Ly8oJWq8X+/fvlXoqSkhIkJCQYndAVCgXKysqarB6FhYXYuHEj+vTpI1/uatu2La5evYpXX3212mU6deqE+Ph4FBcXy8nImTNn6tyWj48PlEolbty4geDg4GrLBAQEYNu2bdDr9bCxafxTtq2tbZPGs7mZxdNP33//PW7dugUrKyt07doVOp0OISEhVd5fUFlxcTFyc3ONBqL6KE9m+Dg3UeO4f/8+zp49Kz8NlJ6ejrNnz+LGjRsAHiZns2fPxpIlS7Bjxw6cP38eEydOhL29PcaNGyevR6/X4+DBg8jMzER2dnaD65WVlYXMzExcvnwZmzdvxosvvog7d+4gKipKLhMZGYmlS5fio48+wqVLl5CSkoKYmBisWbMGADBu3DgYDAa89tpruHjxIvbu3YtVq1bJ+1UTR0dHvPXWW5gzZw7i4uJw5coVJCcnY/369YiLiwMATJs2Dffu3cPYsWNx+vRpXL16Ffv27cOkSZMaJRnR6/Xysbhz5w6Ki4sbvE6TEmbgq6++EgBE+/btxddffy3OnDkjxo4dK5566ilx9+7dGpeLiIgQAKoMOTk5zVh7Mkcnb5wUXh96iR0Xd5i6KkSywsJCkZqaKgoLC01dlUd2+PDhan8fh4WFyWUMBoOIiIgQWq1WKJVK0adPH5GSkmK0nl27dokOHToIGxsb4enpKYR4+Lvez8/PqNzatWvl+XXVR5Ik4ejoKPz8/MQ//vEPkZGRUaV8fHy88Pf3F7a2tqJVq1aiT58+Yvv27fL8EydOiC5dughbW1sRGBgoNm3aJACIH3/80Wh72dnZRus1GAzio48+Eh07dhQKhUK4uLiIgQMHioSEBLnMpUuXxPDhw4Wzs7NQqVSiU6dOYvbs2cJgMNS6b5W3JYQQMTExQqPRyONFRUVi5MiRwtnZWQAQMTExNcasqdXWvnNycup1/paEqOHCXzOIjIzEokWLai2TmJiIS5cu4dVXX8WGDRvw2muvAXjYC9OuXTu8//77eP3116tdtri42CjrzM3NhYeHB3JycuDk5NR4O0JE1AyKioqQnp4OLy8vo5tSqeWJj4/H3/72N+Tk5EClUpm6Omahtvadm5sLjUZT5/nbpPfUTJ8+HWPGjKm1jF6vl1+g5OPjI09XKpXw9vaWuy6ro1Qq5eubRERETeXzzz+Ht7c32rZtix9++EF+lwwTmuZl0qSmTZs2aNOmTZ3lAgMDoVQqkZaWht69ewMAHjx4gGvXrsHT07Opq0lERFSrzMxMLFy4UH56a9SoUY/1jhxqGLN4+snJyQlTpkxBREQEPDw84OnpiZUrVwIARo0aZeLaERHRk27u3LmYO3euqavxxDOLpAYAVq5cCRsbG0yYMAGFhYXo2bMnDh069ES8TIiIiIjqZjZJjUKhwKpVq+TH5IiIiIgqMov31BAR0e9M+NAqUZNpjHbNpIaIyEyUfwrAVF/lJmpK5e268icvHoXZXH4iInrSWVtbw9nZWf5Qo729Pb8iT2ZPCIGCggJkZWXB2dlZ/qbW42BSQ0RkRso//Pi4X6AmaqmcnZ3l9v24mNQQEZkRSZKg0+ng6uqKBw8emLo6RI1CoVA0qIemHJMaIiIzZG1t3SgnASJLwhuFiYiIyCIwqSEiIiKLwKSGiIiILMITdU9N+Yt9cnNzTVwTIiIiqq/y83ZdL+h7opKavLw8AICHh4eJa0JERESPKi8vDxqNpsb5kniC3rdtMBhw+/ZtODo6NuoLq3Jzc+Hh4YGbN2/Cycmp0dZLVTHWzYNxbh6Mc/NgnJtHU8ZZCIG8vDy4u7vDyqrmO2eeqJ4aKysrtGvXrsnW7+TkxP8wzYSxbh6Mc/NgnJsH49w8mirOtfXQlOONwkRERGQRmNQQERGRRWBS0wiUSiUiIiKgVCpNXRWLx1g3D8a5eTDOzYNxbh4tIc5P1I3CREREZLnYU0NEREQWgUkNERERWQQmNURERGQRmNQQERGRRWBS0wg++eQTeHl5wc7ODoGBgTh27Jipq2TWIiMjIUmS0aDVauX5QghERkbC3d0dKpUKffv2xYULF0xYY/Nw9OhRDBkyBO7u7pAkCTt37jSaX5+4FhcXY8aMGWjTpg0cHBzw5z//GT///HMz7kXLV1ecJ06cWKV9v/DCC0ZlGOe6LV26FN27d4ejoyNcXV0xbNgwpKWlGZVhm264+sS5JbVpJjUNtGXLFsyePRvz589HcnIyXnrpJYSEhODGjRumrppZe+6555CRkSEPKSkp8rwVK1ZgzZo1WLduHRITE6HVatG/f3/5215Uvfz8fPj5+WHdunXVzq9PXGfPno0dO3Zg8+bNOH78OO7fv4/BgwejrKysuXajxasrzgAwaNAgo/b93XffGc1nnOuWkJCAadOm4dSpU9i/fz9KS0sxYMAA5Ofny2XYphuuPnEGWlCbFtQgPXr0EFOmTDGa1qlTJ/H222+bqEbmLyIiQvj5+VU7z2AwCK1WK5YtWyZPKyoqEhqNRvzzn/9sphqaPwBix44d8nh94vrrr78KhUIhNm/eLJe5deuWsLKyEnv27Gm2upuTynEWQoiwsDAxdOjQGpdhnB9PVlaWACASEhKEEGzTTaVynIVoWW2aPTUNUFJSgqSkJAwYMMBo+oABA3Dy5EkT1coyXL58Ge7u7vDy8sKYMWNw9epVAEB6ejoyMzONYq5UKhEcHMyYN0B94pqUlIQHDx4YlXF3d4evry9j/4iOHDkCV1dXPPvsswgPD0dWVpY8j3F+PDk5OQCA1q1bA2CbbiqV41yupbRpJjUNcOfOHZSVlcHNzc1oupubGzIzM01UK/PXs2dPfP7559i7dy+io6ORmZmJXr164e7du3JcGfPGVZ+4ZmZmwtbWFq1ataqxDNUtJCQE8fHxOHToEFavXo3ExET069cPxcXFABjnxyGEwBtvvIHevXvD19cXANt0U6guzkDLatNP1Fe6m4okSUbjQogq06j+QkJC5J+ff/55BAUF4emnn0ZcXJx88xlj3jQeJ66M/aMJDQ2Vf/b19UW3bt3g6emJ3bt3Y8SIETUuxzjXbPr06Th37hyOHz9eZR7bdOOpKc4tqU2zp6YB2rRpA2tr6yqZZlZWVpW/DujxOTg44Pnnn8fly5flp6AY88ZVn7hqtVqUlJQgOzu7xjL06HQ6HTw9PXH58mUAjPOjmjFjBnbt2oXDhw+jXbt28nS26cZVU5yrY8o2zaSmAWxtbREYGIj9+/cbTd+/fz969eplolpZnuLiYly8eBE6nQ5eXl7QarVGMS8pKUFCQgJj3gD1iWtgYCAUCoVRmYyMDJw/f56xb4C7d+/i5s2b0Ol0ABjn+hJCYPr06di+fTsOHToELy8vo/ls042jrjhXx6RtulFvO34Cbd68WSgUCvHpp5+K1NRUMXv2bOHg4CCuXbtm6qqZrTfffFMcOXJEXL16VZw6dUoMHjxYODo6yjFdtmyZ0Gg0Yvv27SIlJUWMHTtW6HQ6kZuba+Kat2x5eXkiOTlZJCcnCwBizZo1Ijk5WVy/fl0IUb+4TpkyRbRr104cOHBAfP/996Jfv37Cz89PlJaWmmq3Wpza4pyXlyfefPNNcfLkSZGeni4OHz4sgoKCRNu2bRnnRzR16lSh0WjEkSNHREZGhjwUFBTIZdimG66uOLe0Ns2kphGsX79eeHp6CltbWxEQEGD0qBs9utDQUKHT6YRCoRDu7u5ixIgR4sKFC/J8g8EgIiIihFarFUqlUvTp00ekpKSYsMbm4fDhwwJAlSEsLEwIUb+4FhYWiunTp4vWrVsLlUolBg8eLG7cuGGCvWm5aotzQUGBGDBggHBxcREKhUK0b99ehIWFVYkh41y36mIMQMTExMhl2KYbrq44t7Q2Lf1WaSIiIiKzxntqiIiIyCIwqSEiIiKLwKSGiIiILAKTGiIiIrIITGqIiIjIIjCpISIiIovApIaIiIgsApMaIiIisghMaojI5LKysvD666+jffv2UCqV0Gq1GDhwIP7zn/8AePil5Z07d5q2kkTU4tmYugJERCNHjsSDBw8QFxcHb29v/PLLLzh48CDu3btn6qoRkRlhTw0RmdSvv/6K48ePY/ny5Xj55Zfh6emJHj164J133sGf/vQn6PV6AMDw4cMhSZI8DgDffvstAgMDYWdnB29vbyxatAilpaXyfEmSEBUVhZCQEKhUKnh5eWHr1q3y/JKSEkyfPh06nQ52dnbQ6/VYunRpc+06ETUyJjVEZFJqtRpqtRo7d+5EcXFxlfmJiYkAgJiYGGRkZMjje/fuxfjx4zFz5kykpqZiw4YNiI2NxQcffGC0/LvvvouRI0fihx9+wPjx4zF27FhcvHgRAPDxxx9j165d+Ne//oW0tDR8+eWXRkkTEZkXftCSiExu27ZtCA8PR2FhIQICAhAcHIwxY8agS5cuAB72uOzYsQPDhg2Tl+nTpw9CQkLwzjvvyNO+/PJLzJ07F7dv35aXmzJlCqKiouQyL7zwAgICAvDJJ59g5syZuHDhAg4cOABJkppnZ4moybCnhohMbuTIkbh9+zZ27dqFgQMH4siRIwgICEBsbGyNyyQlJeG9996Te3rUajXCw8ORkZGBgoICuVxQUJDRckFBQXJPzcSJE3H27Fl07NgRM2fOxL59+5pk/4ioeTCpIaIWwc7ODv3798fChQtx8uRJTJw4ERERETWWNxgMWLRoEc6ePSsPKSkpuHz5Muzs7GrdVnmvTEBAANLT07F48WIUFhZi9OjR+Mtf/tKo+0VEzYdJDRG1SD4+PsjPzwcAKBQKlJWVGc0PCAhAWloaOnToUGWwsvr9V9upU6eMljt16hQ6deokjzs5OSE0NBTR0dHYsmULtm3bxqeuiMwUH+kmIpO6e/cuRo0ahUmTJqFLly5wdHTEmTNnsGLFCgwdOhQAoNfrcfDgQbz44otQKpVo1aoVFi5ciMGDB8PDwwOjRo2ClZUVzp07h5SUFLz//vvy+rdu3Ypu3bqhd+/eiI+Px+nTp/Hpp58CANauXQudTgd/f39YWVlh69at0Gq1cHZ2NkUoiKihBBGRCRUVFYm3335bBAQECI1GI+zt7UXHjh3FggULREFBgRBCiF27dokOHToIGxsb4enpKS+7Z88e0atXL6FSqYSTk5Po0aOH2LhxozwfgFi/fr3o37+/UCqVwtPTU3z11Vfy/I0bNwp/f3/h4OAgnJycxB/+8Afx/fffN9u+E1Hj4tNPRGSxqntqiogsF++pISIiIovApIaIiIgsAm8UJiKLxavrRE8W9tQQERGRRWBSQ0RERBaBSQ0RERFZBCY1REREZBGY1BAREZFFYFJDREREFoFJDREREVkEJjVERERkEZjUEBERkUX4f+esNVhgE6r2AAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter6_1_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter6_1_2.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -545,7 +543,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mIPython\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdisplay\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mImage\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mpydot\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mgraph_from_dot_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "Input \u001b[0;32mIn [2]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mtree\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m export_graphviz\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mIPython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdisplay\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Image \n\u001b[0;32m----> 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpydot\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m graph_from_dot_data\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n",
       "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pydot'"
      ]
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter6_1_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter6_1_1.png
index a0ff0d08b..e92d8c52d 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter6_1_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter6_1_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter6_1_2.png b/doc/LectureNotes/_build/jupyter_execute/chapter6_1_2.png
index dae722ea5..ca1164933 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter6_1_2.png and b/doc/LectureNotes/_build/jupyter_execute/chapter6_1_2.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter7.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter7.ipynb
index e240b1f9f..23bdfcee5 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter7.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter7.ipynb
@@ -86,7 +86,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mheads_proba\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.51\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mcoin_tosses\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrand\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mheads_proba\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mint32\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mcumulative_heads_ratio\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcumsum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcoin_tosses\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m10001\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3.5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcumulative_heads_ratio\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "Input \u001b[0;32mIn [1]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m heads_proba \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.51\u001b[39m\n\u001b[0;32m----> 2\u001b[0m coin_tosses \u001b[38;5;241m=\u001b[39m (\u001b[43mnp\u001b[49m\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mrand(\u001b[38;5;241m10000\u001b[39m, \u001b[38;5;241m10\u001b[39m) \u001b[38;5;241m<\u001b[39m heads_proba)\u001b[38;5;241m.\u001b[39mastype(np\u001b[38;5;241m.\u001b[39mint32)\n\u001b[1;32m      3\u001b[0m cumulative_heads_ratio \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mcumsum(coin_tosses, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m) \u001b[38;5;241m/\u001b[39m np\u001b[38;5;241m.\u001b[39marange(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m10001\u001b[39m)\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m      4\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m8\u001b[39m,\u001b[38;5;241m3.5\u001b[39m))\n",
       "\u001b[0;31mNameError\u001b[0m: name 'np' is not defined"
      ]
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter8.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter8.ipynb
index 0b32c6ec2..3f8c2bbea 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter8.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter8.ipynb
@@ -295,10 +295,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.03382304823545749\n",
-      "4.021250026482402\n",
-      "[[0.9252772  2.69061276]\n",
-      " [2.69061276 8.90540529]]\n"
+      "0.046785461905835435\n",
+      "4.240670854503034\n",
+      "[[0.94986593 2.88137798]\n",
+      " [2.88137798 9.93586895]]\n"
      ]
     }
    ],
@@ -340,10 +340,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.08328216846752691\n",
-      "2.094472507965532\n",
-      "[[1.         0.67697934]\n",
-      " [0.67697934 1.        ]]\n"
+      "0.08271198519070039\n",
+      "1.7306310662842432\n",
+      "[[1.         0.58084359]\n",
+      " [0.58084359 1.        ]]\n"
      ]
     }
    ],
@@ -397,30 +397,30 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[ 2.38295101  5.51289697]\n",
-      " [ 0.51803019  2.61399851]\n",
-      " [-1.09849763 -1.02255619]\n",
-      " [-0.54016188 -0.53794784]\n",
-      " [ 0.28634473  1.32721178]\n",
-      " [-1.66619972 -6.88017651]\n",
-      " [ 1.52811546  4.29512284]\n",
-      " [ 0.427017    2.43493232]\n",
-      " [-0.80842254 -4.37964744]\n",
-      " [-1.02917662 -3.36383443]]\n",
+      "[[-0.50488131 -2.2493023 ]\n",
+      " [-0.26115367 -1.92631966]\n",
+      " [-1.43556723 -2.99992698]\n",
+      " [ 0.64528459  2.57643113]\n",
+      " [-0.55273102 -2.09964817]\n",
+      " [ 0.31681097  1.26466619]\n",
+      " [-0.04673082 -0.56607416]\n",
+      " [ 1.53394148  5.38629412]\n",
+      " [ 0.15092012 -0.22014758]\n",
+      " [ 0.15410688  0.83402742]]\n",
       "          0         1\n",
-      "0  2.382951  5.512897\n",
-      "1  0.518030  2.613999\n",
-      "2 -1.098498 -1.022556\n",
-      "3 -0.540162 -0.537948\n",
-      "4  0.286345  1.327212\n",
-      "5 -1.666200 -6.880177\n",
-      "6  1.528115  4.295123\n",
-      "7  0.427017  2.434932\n",
-      "8 -0.808423 -4.379647\n",
-      "9 -1.029177 -3.363834\n",
-      "          0         1\n",
-      "0  1.000000  0.930583\n",
-      "1  0.930583  1.000000\n"
+      "0 -0.504881 -2.249302\n",
+      "1 -0.261154 -1.926320\n",
+      "2 -1.435567 -2.999927\n",
+      "3  0.645285  2.576431\n",
+      "4 -0.552731 -2.099648\n",
+      "5  0.316811  1.264666\n",
+      "6 -0.046731 -0.566074\n",
+      "7  1.533941  5.386294\n",
+      "8  0.150920 -0.220148\n",
+      "9  0.154107  0.834027\n",
+      "         0        1\n",
+      "0  1.00000  0.95302\n",
+      "1  0.95302  1.00000\n"
      ]
     }
    ],
@@ -461,37 +461,37 @@
      "text": [
       "     0         1         2         3         4         5         6         7   \\\n",
       "0   0.0  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
-      "1   0.0  0.086074  0.080593  0.088526  0.083276  0.078269  0.081046  0.076604   \n",
-      "2   0.0  0.080593  0.076130  0.082896  0.078254  0.073810  0.076216  0.072216   \n",
-      "3   0.0  0.088526  0.082896  0.096472  0.091051  0.085879  0.091696  0.086956   \n",
-      "4   0.0  0.083276  0.078254  0.091051  0.086112  0.081388  0.086890  0.082536   \n",
-      "5   0.0  0.078269  0.073810  0.085879  0.081388  0.077083  0.082295  0.078299   \n",
-      "6   0.0  0.081046  0.076216  0.091696  0.086890  0.082295  0.089501  0.085163   \n",
-      "7   0.0  0.076604  0.072216  0.086956  0.082536  0.078299  0.085163  0.081144   \n",
-      "8   0.0  0.072442  0.068461  0.082503  0.078436  0.074530  0.081072  0.077349   \n",
-      "9   0.0  0.068538  0.064931  0.078314  0.074573  0.070972  0.077211  0.073761   \n",
-      "10  0.0  0.073062  0.069085  0.084862  0.080738  0.076780  0.084484  0.080647   \n",
-      "11  0.0  0.069275  0.065641  0.080706  0.076895  0.073230  0.080582  0.077013   \n",
-      "12  0.0  0.065730  0.062411  0.076804  0.073280  0.069884  0.076905  0.073583   \n",
-      "13  0.0  0.062409  0.059378  0.073136  0.069877  0.066729  0.073436  0.070343   \n",
-      "14  0.0  0.059294  0.056528  0.069685  0.066670  0.063752  0.070163  0.067282   \n",
+      "1   0.0  0.088104  0.081216  0.088760  0.086997  0.085010  0.080343  0.079306   \n",
+      "2   0.0  0.081216  0.075612  0.080764  0.079618  0.078300  0.072530  0.071897   \n",
+      "3   0.0  0.088760  0.080764  0.094925  0.092249  0.089310  0.089233  0.087615   \n",
+      "4   0.0  0.086997  0.079618  0.092249  0.089982  0.087470  0.086257  0.084927   \n",
+      "5   0.0  0.085010  0.078300  0.089310  0.087470  0.085410  0.083021  0.081989   \n",
+      "6   0.0  0.080343  0.072530  0.089233  0.086257  0.083021  0.086109  0.084269   \n",
+      "7   0.0  0.079306  0.071897  0.087615  0.084927  0.081989  0.084269  0.082642   \n",
+      "8   0.0  0.078323  0.071329  0.086021  0.083629  0.080998  0.082431  0.081022   \n",
+      "9   0.0  0.077372  0.070810  0.084426  0.082339  0.080026  0.080571  0.079383   \n",
+      "10  0.0  0.071946  0.064637  0.081990  0.079001  0.075770  0.080642  0.078768   \n",
+      "11  0.0  0.071044  0.064041  0.080699  0.077930  0.074922  0.079218  0.077511   \n",
+      "12  0.0  0.070222  0.063524  0.079476  0.076927  0.074144  0.077846  0.076306   \n",
+      "13  0.0  0.069475  0.063084  0.078314  0.075987  0.073433  0.076518  0.075145   \n",
+      "14  0.0  0.068799  0.062719  0.077203  0.075102  0.072783  0.075222  0.074019   \n",
       "\n",
       "          8         9         10        11        12        13        14  \n",
       "0   0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  \n",
-      "1   0.072442  0.068538  0.073062  0.069275  0.065730  0.062409  0.059294  \n",
-      "2   0.068461  0.064931  0.069085  0.065641  0.062411  0.059378  0.056528  \n",
-      "3   0.082503  0.078314  0.084862  0.080706  0.076804  0.073136  0.069685  \n",
-      "4   0.078436  0.074573  0.080738  0.076895  0.073280  0.069877  0.066670  \n",
-      "5   0.074530  0.070972  0.076780  0.073230  0.069884  0.066729  0.063752  \n",
-      "6   0.081072  0.077211  0.084484  0.080582  0.076905  0.073436  0.070163  \n",
-      "7   0.077349  0.073761  0.080647  0.077013  0.073583  0.070343  0.067282  \n",
-      "8   0.073827  0.070492  0.077015  0.073629  0.070429  0.067402  0.064538  \n",
-      "9   0.070492  0.067392  0.073575  0.070419  0.067432  0.064604  0.061923  \n",
-      "10  0.077015  0.073575  0.080984  0.077452  0.074111  0.070950  0.067956  \n",
-      "11  0.073629  0.070419  0.077452  0.074149  0.071022  0.068059  0.065249  \n",
-      "12  0.070429  0.067432  0.074111  0.071022  0.068093  0.065314  0.062676  \n",
-      "13  0.067402  0.064604  0.070950  0.068059  0.065314  0.062706  0.060228  \n",
-      "14  0.064538  0.061923  0.067956  0.065249  0.062676  0.060228  0.057899  \n"
+      "1   0.078323  0.077372  0.071946  0.071044  0.070222  0.069475  0.068799  \n",
+      "2   0.071329  0.070810  0.064637  0.064041  0.063524  0.063084  0.062719  \n",
+      "3   0.086021  0.084426  0.081990  0.080699  0.079476  0.078314  0.077203  \n",
+      "4   0.083629  0.082339  0.079001  0.077930  0.076927  0.075987  0.075102  \n",
+      "5   0.080998  0.080026  0.075770  0.074922  0.074144  0.073433  0.072783  \n",
+      "6   0.082431  0.080571  0.080642  0.079218  0.077846  0.076518  0.075222  \n",
+      "7   0.081022  0.079383  0.078768  0.077511  0.076306  0.075145  0.074019  \n",
+      "8   0.079622  0.078211  0.076886  0.075797  0.074760  0.073768  0.072813  \n",
+      "9   0.078211  0.077033  0.074969  0.074050  0.073183  0.072364  0.071585  \n",
+      "10  0.076886  0.074969  0.076632  0.075201  0.073811  0.072452  0.071115  \n",
+      "11  0.075797  0.074050  0.075201  0.073904  0.072647  0.071421  0.070216  \n",
+      "12  0.074760  0.073183  0.073811  0.072647  0.071523  0.070428  0.069355  \n",
+      "13  0.073768  0.072364  0.072452  0.071421  0.070428  0.069465  0.068525  \n",
+      "14  0.072813  0.071585  0.071115  0.070216  0.069355  0.068525  0.067719  \n"
      ]
     }
    ],
@@ -916,10 +916,10 @@
      "output_type": "stream",
      "text": [
       "          0         1\n",
-      "0  4.038506  2.027865\n",
-      "1  2.027865  2.037559\n",
-      "[[4.03850557 2.02786488]\n",
-      " [2.02786488 2.03755944]]\n"
+      "0  3.967536  1.983164\n",
+      "1  1.983164  2.000755\n",
+      "[[3.9675364  1.98316352]\n",
+      " [1.98316352 2.00075534]]\n"
      ]
     }
    ],
@@ -949,22 +949,21 @@
      "output_type": "stream",
      "text": [
       "Centered covariance using own code\n",
-      "[[4.03850557 2.02786488]\n",
-      " [2.02786488 2.03755944]]\n"
+      "[[3.9675364  1.98316352]\n",
+      " [1.98316352 2.00075534]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter8_65_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1045,12 +1044,12 @@
      "output_type": "stream",
      "text": [
       "Eigenvalues of Covariance matrix\n",
-      "5.299267190588216\n",
-      "0.7767978193240488\n",
+      "5.197738983259782\n",
+      "0.7705527590466072\n",
       "First eigenvector\n",
-      "[0.84924834 0.52799362]\n",
+      "[0.84977962 0.52713812]\n",
       "Second eigenvector\n",
-      "[-0.52799362  0.84924834]\n"
+      "[-0.52713812  0.84977962]\n"
      ]
     },
     {
@@ -1058,7 +1057,7 @@
      "output_type": "stream",
      "text": [
       "Eigenvector of largest eigenvalue\n",
-      "[0.84924834 0.52799362]\n"
+      "[-0.84977962 -0.52713812]\n"
      ]
     }
    ],
@@ -1377,16 +1376,16 @@
       "7  0.0  0.0  0.0  0.0  0.0\n",
       "8  0.0  0.0  0.0  0.0  0.0\n",
       "9  0.0  0.0  0.0  0.0  0.0\n",
-      "[[-1.5378811  -0.94639099]\n",
-      " [ 0.86145244  0.89288636]\n",
-      " [-0.00445655  0.81633628]\n",
-      " [ 0.07145103 -1.00433417]\n",
-      " [ 2.03707133 -0.48476997]\n",
-      " [ 0.72174172 -1.4557763 ]\n",
-      " [-0.55854694  1.60673226]\n",
-      " [ 1.6999536   0.43766686]\n",
-      " [-1.10405456  0.31718909]\n",
-      " [-2.18673098 -0.17953942]]\n"
+      "[[-1.5378811   0.94639099]\n",
+      " [ 0.86145244 -0.89288636]\n",
+      " [-0.00445655 -0.81633628]\n",
+      " [ 0.07145103  1.00433417]\n",
+      " [ 2.03707133  0.48476997]\n",
+      " [ 0.72174172  1.4557763 ]\n",
+      " [-0.55854694 -1.60673226]\n",
+      " [ 1.6999536  -0.43766686]\n",
+      " [-1.10405456 -0.31718909]\n",
+      " [-2.18673098  0.17953942]]\n"
      ]
     }
    ],
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter8_65_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter8_65_1.png
index ca1e82024..b57eff150 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter8_65_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter8_65_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter9.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter9.ipynb
index 9a4720744..099f10d42 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapter9.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapter9.ipynb
@@ -578,61 +578,57 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter9_29_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter9_29_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter9_29_2.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapter9_29_3.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter9_29_0.png b/doc/LectureNotes/_build/jupyter_execute/chapter9_29_0.png
index 85d5833f1..f3dd6651b 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter9_29_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapter9_29_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter9_29_1.png b/doc/LectureNotes/_build/jupyter_execute/chapter9_29_1.png
index 1ff7a7cdf..debd85581 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter9_29_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapter9_29_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter9_29_2.png b/doc/LectureNotes/_build/jupyter_execute/chapter9_29_2.png
index 2c15fba38..77871a467 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter9_29_2.png and b/doc/LectureNotes/_build/jupyter_execute/chapter9_29_2.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter9_29_3.png b/doc/LectureNotes/_build/jupyter_execute/chapter9_29_3.png
index 9cba34795..521d25e3d 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapter9_29_3.png and b/doc/LectureNotes/_build/jupyter_execute/chapter9_29_3.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization.ipynb
index c7a51e50f..f5d9a4c5a 100644
--- a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization.ipynb
@@ -916,14 +916,14 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      ":18: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
+      "/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94582/483257001.py:18: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
       "  ax = fig.gca(projection=\"3d\")\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       ""
+       ""
       ]
      },
      "execution_count": 1,
@@ -932,16 +932,15 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPcAAADyCAYAAACRQVPgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAC8p0lEQVR4nOz9d5Rle3bXCX6Oud6buDcibnhvMiN95ntVqlLJCyEJAYIWDD0qdTPQGgTqFtDTAvWoZ9bQM4CYhtU0vZolYQcrSiABErKo7HvpM8N77831/rj545iMzJcmMl++V1WvYq9VK19F3HvuvXHP/u29v/u7v1swDINzO7dz++SZ+PV+A+d2buf20di5c5/buX1C7dy5z+3cPqF27tzndm6fUDt37nM7t0+onTv3uZ3bJ9TkV/z+vE92buf20ZvwUVz0PHKf27l9Qu3cuc/t3D6hdu7c53Zun1A7d+5zO7dPqJ0797md2yfUzp373M7tE2rnzn1u5/YJtXPnPrdz+4TauXOf27l9Qu3cuc/t3D6hdu7c53Zun1A7d+5zO7dPqJ0797md2yfUzp373M7tE2rnzn1u5/YJtXPn/jqYYRg0m01UVeVcWvrcPip7lVjDub1l03WdZrNJvV53fiZJEi6XC1mWkSQJQfhIZvfP7VvMhFdEjvOw8pbMMAxUVUVVVer1OqurqwSDQaLRKB6PB8MwHKduNBqEQiHcbve5s39r2EfyBZ8798dgdhqu6zqHh4esrKzQ3d1No9Egl8tRr9cJBoPEYjGi0SjLy8v09PTg9/uB88j+LWDnzv3NaKqqsr29jaIolEolms0m4+PjT0VqwzAolUrk83lyuRyFQoFYLEZLSwvRaBS3242u687jZVl2/nfu7J8IO3fubyY7nYavra2xtbVFX18fnZ2dADSbzRc65dTUFKlUilqtRi6XQ1EUwuGwE9ldLtdTQJwsy05kF0Xx3Nm/+ewj+cLOAbWPwHRdR1EUNE1jd3eX7e1tWltb6erqAnglQi6KIsFgkHQ6TU9PD7quUywWyeVy7O7uoqoqkUiEaDRKNBpFEARUVQVAEISnIvu5s3/r2rlzv0UzDANN01AUBUVRmJubQ5Zl+vv7aTabz328IAiomoYsSS+8riiKjiMDaJrmOPv29jaapjm/j0QiACiKApw7+7eynTv3WzLDMJxoXSgUmJ2dpa+vj7a2Nvb392k0Gs5jBUFAEAQngv/5//n/4Mf/0HfxzsSw8/uXRXdJkojFYsRiMQDnNXO5HJubmxiGce7s53bu3G/D7N61ruusr69zfHzMlStXHLT7Zc5qGAZfeTjLb3zlPn/jZ36CP/a9n37t15ckiXg8TjweB0wQz3b29fV1BEEgGo0Si8UIh8MoisLJyQnlcplMJuPU7JIknTv7J8jOnftD2GnQrNlsMj09TSgU4saNG4jiE/Lfy5z7KFcgVywD8A/+7W9ze2qB//P33vxQzDVZlkkkEiQSCcCM2oVCgZOTE1ZXVxFFEY/HA0BbW5tTRtjv1QbnZFl2soxz++azc+d+Qzvduz45OWFxcZHh4WGSyeQHHvsy515Y23H+e+8oy/TyBkfHx/zsn/7jjIZCb+W9ulwuksmk894URWFzc5NsNsvDhw+fSvNDoRDNZtMpI0RRxOVyOZH93Nm/eezcud/AbNBM0zSWl5cpl8tcv37diYbP2suce35tG4BIMMBJoQTA5v4JP/qX/gb/21/9ST53Y+Ktv3+Xy0UkEkEQBPr6+mg2m+RyOQ4ODlhaWkKWZcfZg8Gg4+yCICCK4gfS+HP7xrRz534NO52G12o1pqenaWlp4dq1ay+NZmdx7kw6TqFcAeCkUKZQrvJ3/8V/4L3H8/ylz/8RXPJH91W53W7S6TTpdBrAYc7t7u5SKpXweDwOQGdHdhv9P3f2b1w7d+4zmt271nWd/f191tbWGB8fd9pTL7NX1dwAQZ8PgFDQT65kOnm5Wud/+5f/ke2DE372T/8xOtIfTPk/CvN4PLS2ttLa2gpAvV4nl8uxs7NDuVzG6/U6AF0gEDh39m9QO3fuV5jdu15eXqajo4P5+Xk0TePmzZu4XK4zXeNFzq1pOvfmlrk2NoBhkQE7UnHmrAi+d5wDYP84x/f+X/5H/uZf/K/4g99+4619rrOa1+ulra2NtrY2DMNwnH1zc5NKpYLP53PYcz6f7yln1zQNSZIIBALnzv4x27lzv8RO9663t7fZ29ujq6uLTCbzWqDS85y7XC6zfZilWK5yf3aZz924iCgKhAJWBA/4OMkXzcdWaxQrVX7xV36T33n/If/Pn/ovncd9GHsTYEwQBHw+Hz6fj/b2dgzDcGiy6+vrVCoVAoGA4+zFYpF6ve6w82yAzubFnzv7R2fnzv0CO9273t7eplar8alPfYpgMPja1zrt3Lqus7i4SD6f5yuPF53HvP94npHeDkTL4dqSMUqVGmCi6PZ1fvm3vsLW/jF/8fN/hHcvjXzYj/mhTRAE/H4/fr+fTCaDYRhUKhXy+Tyrq6sUi0VcLpdTt3s8HhqNBo1GA8Mwnkrh7dbbub0dOz82nzEbNGs0GiiKwuTkJOVymWAwSCAQeKNr2s5dq9W4e/cuHo+HK1euUDPMs7U1GaXeVJhd2SJfKNKZiuHzmCl/NBQgWzD74OWq6ey6ofPH/+L/m7/29/8ltXrj+S/6dTJBEAgGg3R0dHDx4kV6e3uJx+NOaXP//n0WFhY4PDx0MIx6vU6lUqFQKFAqlajX6+cqNW/BziP3KTvdu87n88zNzdHf309rayvvv/8+uq4jvYQD/iITBIFarcaDBw8YGxsjFouZ3HMLKW9Nxtk/zgOwcZCl2VRoTUQBiAX95IsVwGD38MR6o+Z7/dL9aX7jy/f4m3/pv+bdS6Ov/Vk/LvN6vXR0dNDZ2fnUeOvi4qIjTGGn8YIgnKvUvCU7d27LTqfha2trnJyccPXqVXwWii2K4hs5hH29SqXCpz/9adxut/O7udUtALxWlG5Pxdk9NFPwk1KVK6P9eFwya7tHRIN+8haKfpy3EXYvM0sb/NT/6+/xXe9c5q/8mR8jGjp7dvFxOMrpuXX7NcPhMOFwmK6uLnRdp1QqkcvlmJub+8B4q30w2tc4d/az27e8c5/uXTcaDaanp4lGo8+lkOq6/lrXrtVqTE5OOj3i046dL1XoSCXYP85Rb5jUz1Q8ajm3we5hltXtAz5zZYzB7nY8Lpn88gaAE+ULBRNwi0eC/PP/+Pv83u3H/Nyf/RP8oe985xvmpjcM46WgmSiKRCIRIpHImcdbz539bPYt7dyne9fHx8csLS0xMjLicLJPmyiKr+Xch4eHLC0tMTY2hsfjYWFh4anfz65scnt6ifH+TgpWRPa6zQieikc5zOYBsx22tn3Ad96aYGZlk1Q8wsGJ+TvFejsel/U16ho/9df+Hv/43/0W//NP/zijAz1n/2N8RPZs5H6Vve5462ln39/fJ5PJnDu7Zd+Szn167lrXdZaWlqhWq9y4ceOp6HraXjWGaZuNhlcqFed6tVrtA8+dWdkEYH33kLDfR28mTb1h9oaTkSCH2TyCAJt7R2i6Tq5YYqSng2g4wMGJ+but/SMAJMn8GtvTLexni0wurvP9P/nz/MC7E/yZH/1eOtvbiEajyKdYbh9Xzf26zv2snXW8NRaLsb29TVtb21OR/VtZpeZbzrlPp+HVapXp6WlaW1sZGRl56Rd/lshtp+GpVIrh4WHnes87GGzn7mptYW51C4/bRWvSvIHdLhO060wn2dw7BuAkX2Jt54B3L41wfXyQ/eMc25ZzH+WK1vPMr7OrPcXixg6/9uWHPF7Z4Q9/7jqfnRhAlp84ymlNto/SdF1/q73sl4231mo1Hj58+NR4q6ZpDvJuz7J/qzj7t5Rzn07D9/b22NjYYHx83BE0eJm9KnKfTsPtKPOy59rOHQqYM98uSeK9x/PcujhEsWS2vlpiUTb3jpElka1908kbTYUHcyt8+7UL1BsNCqUKOwfm72pW5I+GzF58PBpkY/eQv/3Pf53HyxP8F9//GTo7gxweHnJycuK8r3g8TigU+khu9A8buV9lp8dbc7kcExMTHxhvtZ09FAo5zg6ffOGKbwnnPp2Ga5rG3NwcADdv3nwqVX2ZvQgtf14a/qw969xNRWVpY9d8b1Y20NlmRvDbU4tc6OsgFY/gkq0I3trC2s4+8ISL3lAUGk2VT10Z5Yt3pwGcWty+P9tbkmTz5kHxtUez/Oc7j/nD3/0p/vj3fZbB3l6q1Sper5ft7W2HM25H9kAg8FZu9I/auZ99reeNt+ZyOY6OjlheXv7AeKuqqp9YlZpPvHPbFNIHDx7Q19fHzMwM3d3dZDKZ17rO89DyF6Xhz3vuaedeXN9moKuNudVtZ8wzHHwyODK9uk3A58FtcdfjkRBrO/t43C62D8xed63RpFStUak2GOvvoqEorGzuAVCyyC5BvxeAjtakk8LfmVzg3/7O1/jhb7/Jd9+6yB/5/u+gtbX1uTRSW0s9Fos5LcHXtY/TuZ9nLpeLVCpFKpUCeOV467PCFd/MKjWfaOc+3bvO5/PMzs5y6dKlN2KaPVtzvywNf9aede7Hi+ssru9yc3yQh/Mr5nvVzN93ppPMljep1BrMrG5w8+IQomjeUJ2tLSxvmhF/3xoqkSSR2ZVNRno7eOfSCPdmlti20nRV0wBIxSNs7x/h9bjZsYgwc2tb/NoX7/ClRwv84Lff4rvfvfIBGmm5XCaXyz1FNonH48RisRcCj8/ax+ncZ3mds463vsjZn+XFfyM7+yfSuU+DZoqiMDMzg2EY3Lp1643BHdtBz5KGv+i5tj1eWEPTdY7yRa6M9vNgdoVja0gkbA2ERII+TvIlTvIlPnVphL6OVmJh81AKBXxOCl62+OfhoN/ip2dwuWQmF9fJWVmBA7S1tbC4biq/7B6Zh8Pa1j6f/yu/wB/47A2+590r/Mh3fRqP24UgCIRCIUKh0FNkk2w2y87ODpqmEYlEnKj3ovLm43LuN0X/XzTeerpUeXa8tdFosLu7Szqdxu/3f8NKUn3inPs0hTSXyzE/P8/g4CD1ev1DobaiKFKr1VhaWnplGv6sPevcU0trACSjYe5MLzHamyFn8ccV1Yy2bckYhXIVDJhZ3qRSq9PX0YogCHSkkya7zTCcNN2+vNvl4vHiGpeH+xxGm02SsYG2VCLKoXU42Gy3bKHEz/z1v8+//k9f5t3Lo/ypH/ouB723P79NNunt7f1ASwpwnCASiTg03Y/Lud8W+n/W8dbDw0NSqdRTKjV2ZP9GmWX/RDm3Haltymcul+PatWt4vV6Wl5c/1I1WrVbZ399nYmLilWn4s3bauVVVY3rZdIZy2Yys1VqDhqIw2tfpjHn6vWZGkEpEODwxHXD74Jih7naSsTAALfEIR1nzd3kLYfd5TamnXLHM9sExtyaGObIIMfZHb03EODzJWyi8WYvbGQAY/C//+Ff4D79/m8Hudv7UD30nn7l28QM36rMtKUVRyOfzHB8fs7Ky4tSyp3niH6W9ign3Jvay8dZarcbjx4+fGm89Pcv+Uz/1U/zcz/0cIyOvN7knCMI/AH4QODQM44L1s78J/BDQBFaAnzAMI/+qa30inPvZDZrT09PE43Fu3LjhOLNdM7/u4IedhpdKJQYGBl7bsZ99n7/71ds0mmYkVQ3zZowG/WzsHVGp1hnpaQdMRB2grSXuOPfm3hHVeoNoKMitiWHq9QZH2YJDdjn9vJZ4hI29Q2ZWNhAReOfSCMVyFQC/zzwA2lvizvPsdpqimJlDNBTg1790h/szS7hkiT/2fZ/lj37vZ+jtaH3uZ3O5XLS0tNDS0gI8qWX39/eZm5vD7/cTi8WIx+NvDYk/bW+7n/48Oz3euru7y7Vr16hWq854a7VaJRgMsrKyQjabxev1vsnL/CPg7wL/5NTPfhv4WcMwVEEQ/jrws8D/7VUX+qYf+bRBM1VVOTo64uHDhwwMDDAwMPDUDfS69FHgqRHN9vb2N5oIgyeR+8GDByxu7NDdnkIUBDb2DgEcYcWeTJrJ5S0GMilyRTOqY4FimVSCqjXeeZQrcHtygVgkRHd7io500jkw7FaZvcGkI52kWKnx/uN5ytU6Ny8OOw4cCZo99mQsfGooxcwcbBCvNRlje/+Y/+Nf/Uc+86d+hh/8b36Of/Krv8XO4fFLP7Ndy0YiES5cuMDQ0BCyLLO+vs6dO3eYnp5mZ2eHarX6VthyH4dzP2v22id7vPXmzZt0dXWxtbXFwsICP/RDP8TnP/958vn8ma9pGMaXgOwzP/stwzBU6/++D3Sc5VrftJH72d710tIS9Xr9hSDXh+GGx2Ix1tbWXvtwsK1QKFCpVBgYGGDny9McZYt8+vIYX344A+DolkfDZk28c5zD53Uz2teJqps3fsBrflWSKLJpHQqFUoXt/WO+4+aERUkVHKS8UjPT4UjQBOHakgk29w7Z3DtkYqiXy8M9zva5tpYEx7kiLllyWmalihnlfR7zb9nZ1sLC2jaP5leYWd7gZ/+//4Af/o53GRvo5vs+fZ3Bnuer09il0LPpbaVSIZfLsby8TL1ed8Y+Y7HYC1VkX2YftXOXKlWHcATPB/BsEPLP/bk/xxe+8AW++MUvMjc3R+gtSVRb9l8B/+osD/ymdO7T8keVSoXp6Wna29sZHR19Ybp3Vud+ERp+Vm75s+9za2uLnZ0d/H4/6XSaR/OrVOsN6o0Gty4OcX92mfVd01kNy5EzLXGWt/fJFsp85uoYsiQRi0Zgc59MKs6mxVbb3jtE03UK5QrJaJj+rja+dN8ktNhOrlvXTCej7B2f4HHJTC+vo+sGlwa7uTUxgiSZTtHZ2sLq9j5gOM+303z7kOhsbXEOly/fn+bX/vN7/OZX7nKUK/BHv+czjPZ38anLYyRiEedv8Ox3Ygs6BINBOjs70XWdcrlMNptldnbWmQQ7vdX0LN/b23Tu41yB9x/OML24yq/97lf5vs/c5Of/wk+c+fmKouDz+bh27dpbe0+CIPxVQAX+2Vke/03n3Kd713t7e2xubnLhwgXC4fBLn/dhuOFnff5pU1WV2dlZBEHg5s2b3L59m6aiOrRTQRK5PbXIu5eGmVxYR1FVslbryiafRIIBvvxgloHOtlNOGmNz/5iAz8NR3nx8Nl9g9yhLLORjvL8LRdVY3DBbXnZWYM+Md7WnLHacwerOPqVqnVsXh3nn0giSJLG6vU9LLMpRLg/gTKfZYT4Zi7C5d0g8GiJrvf5hNs/OwTFfezjD3/knv8KNi8OUylU+d+sSIY/E97h9jA30vvTgtWe8e3p6nEmwbDb7geGQaDT63PLowzi3qmosrG0yt7zB1x5O8WBmkbXtfZqKQl9HO2vbe1wY7nvqOR93y0sQhB/HBNq+yzhjlPmmce7ToJmmaczOziKK4pkppK9yzleRUl7HucvlMpOTk3R1ddHR8aQ8ml/bcmrjvOV0qqoRDQVoTcbYsCK4Zr1OV2uSqeUKy5t7pOIRbl0cxl6Z3tWaYm7VPChOCma97PF4eDC3Sl+mhfHeDOt7R06UtdthsbCZIiYiYU6sefD94zwbuwe8c2mUa2MDBP1evngvj8ftYsdqtdljqXbPPJNKks2X8HrcjkKMfZCIosj82hY+n4cHs0v84q/+Lpqqc2Gwh8ujA/R1tjHc20lvR6vzfk7bs5NgqqqSz+fJZrOsrq4+9ftwOOx8N69ybk3T2Ds6YXljh6X1bfaOTnj/4QzBgJ8v35vk+sVh7k3N09vRRlNRcMkSG7sm7ffiKed+lW+97fafIAjfjwmgfbthGNWzPu+bwrlP966LxSKzs7P09PTQ3t5+5mu8yDnPSko5q1jD3t4ea2trz80mHs2vAmbdvL5z6Fx35yjLQFcbl0d6uTez7FBS/T4zgtvtsMNsgc9cHaM9FXfoqi2xiAOiFStmnd2SiPP+5DwDnW343C5mVrfY2jsAQNNU55onhSJuWWZr33wvxXKF2ZVN3rk0Qm8mTXd7mvszS5QqNbYsVN0G9QLWezOJMdsmYm8dTmWrXvdY6XR7S4LppXUmF9f46oMZ53mbe4d8+41L5IolblwcQRCguz1N0O8jEQ0TCQUIBwIE/B58Hg+t7Rk6urpQFZVcLsfa+ga5fAEEAR2BSrXOYalBrlCiXK2xtXuAbhg8mlvGJUt85f4kXrfbOaiSsQjHuYITlW0QMhmPsLa9R3emleX1HXxeD/2dT+41W675ZfamDi4Iwr8APgckBUHYBn4eEx33AL9tXfN9wzD+m1dd6xveuTVNY21tjVgsxtHREQcHB1y+fNnZoHlWe55zn5UbDq+uuXVdZ2FhwQH1nlcnzq5uMTHYQ7XRcGiktiPHw0HuTC1y8+IQk4vmIdC0aI/tp9ph92aW0A2Dsd5ORFGgvSXOUa6AKAhOlLafFw0FuTezxEBnqymVXCg7fXTR+iydrS2sbJmcdLvn3VQU1nYOaIlHaTQVPnV1jHK5xvTyOntWlFasyaqIRYzpbE05zv3sQeC3WkId6SRz5U08bpfzWlv7h6xu7eH1uLkzOc+Ni8PcnZqnr6ON1a09kxgiyzQVheHeDhbWtrh1aZTbj+e4cXGEu1akXdvaQ7IQfk3XrcPjyIrGC7xzaZRGU2Ggu4NCaY14JMRxroABHwARRcHMAOKRMLDD+EDPU878KudWVfWNOyuGYfyJ5/z4l97kWt+wrTAbNLOJ/tPT0zQaDW7evPnajg3P54Y/ePCAoaEhentfXA++6PmnrV6vc/fuXbxeL5cvX34hAPS1R/NMr6zT12Hyms20z7yx7Jq6WK4SD4foSMWdpQReK5voam2h1mjSaCosb+3R19HmIOxd7SkH/DrNOweTT/1wfpW+zjaSlsKJfUx5rdnxZCTkSCnb7DUQaCoqtXqDycVVMqk4vR2tjPV3O4eE/VdrsQC0VDxK0XKSvWPzILA57mELlOtuT2MYBpIosmUdSPlTKT1AImpmPV1tKeewsg8PO/I6j7Veuz2VQNN1ZEl0OPQ71vWrFpkm6Dcznkyr2Y9PxaIWTddwspuitRTC/mwXh/s5bZqmvbQEsLXbv972Dencp3vX2WyWo6MjWlpaGBkZeWPQRJIkdF1H13Xm5+fZ2trixo0bZyalvGjk8/j4mPv37zM4OPjSQ6Jab7K4sYNhQL5Y5frYIINdbc6Nf2yl1pFggN2jHOVqna62Fuu5ZgRsiZs3scftYnP/iOWtPYrlCrcuDjtU0aDfy66lc247q73AoNFUuDe7RF9HK16rxRWwdNjbUqa0lMclO0h51qKm2ul1OBTkztQCy5s7lCpVblwYxut24fd6nF1mrS0mYy0c9DuHhM2Qsw9HW8Sxuz2NomoIAmzsPu1Y9sFkf+aO1hZq1ubRTeuxBYuVJ1n3RMw56FrRNB2XLHFoMfhOrL9v3vpMbmuctj1tfu7WZMIh+djXzxXLSJLIpdGBp77LV5Gh7Im6r7d9Qzn3ac1wVVVZXl5mbW2Ntra2V6LhrzKbG26TUq5evXrmySb4YM1tGIbz/q5fv+7QMF9kyzuHzuFwkM1zb3aZeCRMazKG12M6KzxJd1PxCHemFrkw0E3RclLZuuG721JOpN8+OOH21AKSJHJ1bIBO60DAwEnTNesAseWSD7N5Hsyv0p6M4fO4cckSAQuh7znFQLMFIk6yZibgtzTeuttSnORL3J1e4N7MIk1Fwe1y8c7lUZLRMKIo0NFqzlO7ZOnJYWGVIIKVPicsGm1nW8oCGg3HsUpl6zNbh0baeu8d6aRz2Nmfzxa3sIk3TtTPtKLpOh6Xy8mCqhawaOu9q4opcNESN5+TSSdpbYlz6/IYfp8Hj1tmfLDnqe/yVWn5eeR+xuw0XFEU6vU69+/fR5IkZzWufYO+qVWrVVZXV8+chj9rpyN3s9nk/v376LrOtWvXzkS6WNoyb9qAz+NQPmv1BpV6g1vjQ46z2tNefosjfpjNk82XuDra72wBjVrTYfFw0AHTTnJFHswuk45H6e9soz0Vp1w1U1Gbf25H1642c7Z59zjHncl5QgE/Qb+XWDjoRNXO1hYH2c+VzIhWqZkO55bN28ZmzamqztTSGu8/miNXKluSUXHeuTzGaG8HkaAfURQ+kILbETcZtdPqpEm+MXBAPpvzbpc6aStDyaSTVK3H2k5esj6v7eRxC4nvyqTRdR2vx+3U1wUrSgeCIcYHewgFvPR1pIkG/axs7LJ/cMyj2SU0TWe4r+up7/JVzm0vsfh62zeEc+u6TqPRQNM0Dg4OePjwIUNDQ/T39yMIgpNSv+m15+fnKRQK9PT0vDE33I7c+Xyeu3fv0tXVxdDQ0JnLhJOi6Zi9mVbnkNg/yVEqV6k3Fd6ZGCYSCji1ou1Y7S0JipUqD+ZWCAV8xMJB5yDInNr6abfRipUaK1t7jPR20BKLmODVgTUcUn06TW9viVNrNMkWSkwtblCu1ggF/Az3dpKy0uFYOOhQUit1M8rZwg0hv3kARUN+Z7z04DhHrd6kUK7w/iOTkJIvVRjr72G0v4t3Lo0SDQcZ7O5wZKHc7qcdN90Sc1Jk2xmrtWecPGFmSu3pBJVqndNLG+ya3M4QYuEgyViESyMD3Lg4wrtXxolFQsQiQTZ29phZWqNcbbK6fUDQirghqzbvbkuxu7NDsVh0vrdX1dzlcvkbInJ/XdHyZ1VIFxYWaDabH9igKYriG0Xu02i4vYjuTU0QBIrFIoVCgStXrrwWqGcYBl+bWuX6+KDTJw543exYCwjK1Sozq9t8amKYpc1djnJF9q061WPd+D3tKe5OLxENBZyfBawBEBsZhif1bbXepFiu8O7lMe7PLprtrGdEHBKRELuHWSLBAAcnZtq6vrPP8uYun7s+wa1LI2iaxr3pEh6X7CDcdoSMWmhyJt1CvrSBz+NyHOzASoMd4M7j4t7UIh3pFrYPzIMoHPATCvgQBYFLI/20xCK8e3kMv89LZ9rk31dqdVKJKAbQnUkjCgJd7SlCQT/9Xe20pxLEI2FkQQABvB43oihy4+IwsiTS0doCBhxnC/R3tnNnco7R/m5mV9aJBAPsF8zvwMkUrAMwYFFNb1waw+12s729TalUwu/3O1rpL2p32QMkX2/7ukVuu3etKAqVSoW7d+8SDoefizZLkvTazv0sGv5hor9d/zebTW7cuPHaaP3G7iGFSo17M8vomkos6KenPeX8/sAe2ywWqdYbTAx0krMivZ2W2mOe9WaT9x7PcXGoB00zP09LLAqYqfzmqRHOhqKaIJQBn7k2jmKh6ceWWqrd17XrdEkUHWDruFDk9uQ8siRxaaSfW5dGnbTerott/nrIQsF7O9oAs862MxA7AtsD56mk+V5bk3GKlSqlSo251U0ez69wcJzjvYezVKp17k0v0FAUZpbXzcxiYZWNnQPmVzfZ3D0kly+ysrGLqmhML66iqAqP5lfYtphy96YXeTCzyPb+oTOEo1vvIWwNzHRa30GLjZgbsLFzYH0X5nOujg/T1tbG2NgYN2/epL+/H8MwyOVy3Llzh5mZGXZ3d58abf0wNbcgCP9AEIRDQRCmT/0sLgjCbwuCsGT9e6b08+vi3KfT8O3tbaanp7lw4QKdnZ3PPQlfx7lfhIa/yVQYmCnWnTt3iMfjL6Q+vsruzixZ/2UwvbyJIAlOCpqIhji2aJyyy02l1qDeaDLS3YpLlhxhRHv7Z097Gl03mFpcZ/fohFsTI8jyE6DNehnHyXVdp1StUarUkWWZdy+PkrWYabZz2nTX7kzKEYt40vNWeTy/Qr2pIAgCn746zmh/Fz6Pm21HkdVMr+3Bih6rxhUEOLQOkqyV2itNE8hKW07eEos4Kf2OVT7Y+u32bHrGQrSTsYgJyhlP3p/9GeyDJ5000/WuthT1RtM8sKy/4bF1iKrWfRC0DumMBf61pxOUq6bm+br1nImRJ20we+QzHA7T2dnpTIGpqsrCwgJ37tzhV3/1V3n//ff5EPaPgO9/5mf/A/C7hmEMAr9r/f9X2sfq3DZoZm/QnJqaolgscvPmzZdOzpzVMV+Ghr+Jc+/u7jI5OcnFixdJp9NvHPlvT5rbRloTUcq1BrlihZNCiVsXh+i062bDcFLrYMDP/MYBwz0dTu1r3/geqy+diIbZOTzh9tQ8AjDe30XIYq21p+JOxLQBN6/HRbFc4SRfREDgynCv8xi7P26jzOlkzKlb7XQdw6DeaFKvN3kwu0w46KOjNcmtiRFU60CwabNRG8hqM1tdGHBgkXCsZAPN6grEIxY4GAk5GcWuVT48cXLz8LExhpb4qd60lU5X6raTm3+flIWud2fSNBUVt0tm0+pjHx6bqXjTwjW8FiDa2mIeIt3tabweD9cvjnwATIMngJo9BdbV1cWlS5e4fv06XV1d7O3t8c/+2T/j5s2b/M7v/M4Hnv8ye97IJ/CHgH9s/fc/Bn7kLNf62Jz7dO+6UChw9+5dWltbuXDhwiuj4Vki96tIKa/j3LquMzs7y+HhoXPwvOkiwHw+z8NZcw93p0WcMAxY2drn9tQSiUiIgM9LW0vcmakuW9HI63GzdXDCO5eGObEQZs0C02JB84YUBYFH86vMrGwS9HtpTcZIJ8yswON2OUhyxaqTY+EQxUqNvaM82ULJmu9WnWsBtFvRL+j3OiIOdhvL5XoSIacW1phZWmdqcY10MobP4+H6hSEHV7CJLe3phBVhn4BekmyWXiGrNo2HzCgaCvifrFI6Mh/7bCS3e9Mpx8lh39KEK1kH1hMyjPkeujNm79vn9ThR375+rV4nGYsQj4S5dXmM7kyaQqmMrutORnDaXgSoiaLIlStXuHz5Mj//8z/P7//+73Pjxo0PPO4NLG0Yxh6A9W/qFY8338/beOWX2enetU0lXVxc5MqVK44o3avsZY55VlLK60T/O3fu4Pf7uXTpktNnfd1FgIZhsLm5yf1Hj9k4yDGQaXFkjnozaadNtXucJRLyM9Tdbr0ObO2bN50oCGi6TrZQJtOSpKc9TdZy8qTVV29viVG3ItDM0jonuQLJWJiAz2ulx+ZhYKfpdnRNxEI0VY3ZlQ2mltaZGOrFZYn8eTw2I868h07X4jZF06aUdrWbbLtcocRXH85wd3qRw2yeeDREJBxkvK+D4Z4OkrEILfGoIwdlZyKqjRtY6HeH5bgBn8cB5XatxzasHrXt5G0pM5KnkzFHzvlZMoxNJY1FrGyiPUUyFuHySD/dmTSXRwcoliocZwvsHR5z+9GMc5hcGnmavGLbWUksfr//TAsvPir7SJ3bdmybRvrgwQM0TXttUOpFkft1SClnce6joyMePHjA8PAwPT09Hxj5PGvk1jSN6elpCoUChidMqVJjeefISf/slFESRVa3D9g9zNJQVG5eHKKnPe20iGzeeSwcYGV7n2K5SmdrCy5ZclDdthbzBg8FfBxkC6iazvL6NoJo7hxzyTKtp9JsG02309duyzmnl9a5O71AOhEl4PPQEos4wFN3Ju3U4s6UmUUCsVtGPRZhRBQF1ncOyOZL7B2cMLOyTa3e5DiXp7stxUhfJ5++eoGBrgxXxwcRBYFkLOK0/iJWSt/b0e58LjuSb1oTWlXrYPTZclGWk7e1xClXa0iiQLXeYKSvC5/XwzuXxwkF/Az1dpKIhjnK5lF1g/cfzbJ7cMyaNcNu1+Y2JnF5dPCF3+/HzFA7EAShDcD69/AsT/rIWmF2Gn7nzh36+vpYXFxkeHjY2QTxOvY8534d3XB4uXMbhsHS0hLFYvGlW0POErmr1SqTk5O0t7fT2dnJv/+lfwOYra8v3Z/h2tiAc0j0dqSdAZLjXJHlrT2+4/oFTvJF6o0m6xZyq6rm63a0Jrk9uUBXa9K5uezjp7u9hemlDQzgMF+iUqtTqtYI+X1kkmEOs3lc8pN2lp2m2z3v7kyate099o9zNBWVXLHExcEero0P4pIlVrf2ntofbqfXduSNWNTP7rY0azt7JvJsRVH7IJJdMvMzW0wMu5hcWCUSCjgUUrcsEY+EkCWJkb4uWltieNwykVCQcrWGSxZpNlW62lQMXWesrwNdUZgY6iUaCtDd1kJ7awuVWp1IyM/G9j6iKLC6tUejqdDX2cbq1i6hwDDwhGPenk5yeJKnsy3F1t4hsiSxvm06+aWx50fuVzn3R9AK+zXgx4H/j/Xvr57lSW89cp9Ow3Vdp1KpsLGxwfXr19/IsYGn2lgfhhv+POdsNBrcu3cPQRC4du3aC6P/WSL38fExDx8+ZGRkhK6uLgRB4M6UCaa1W+j4/dkVdF0nk0oQj5g3gNfjYm3HdoQ6kiQyMdjlpNC2I9msNd2Axwur3LgwdGq7iHmzdrUmHQQ5V6yQLZZxuX2kYlEuD/WYb/SUJHKjadbbdqstFTcRacOApY0d7s8sYQDXxgYZ7e3C43YRCwedaHp4CnA7fZ0Oy9HAcKJ9rWZNiTnjombaHw4E2D08IVsosbq1y/zqJtl8ifszi1Rrde5MzlEsV7k7tcDG7iGPFlaZXd1ieWuPycU1tnb3TYHJSpViuULKKlm6O1ppNBXcLtmZy7YBQhvh9znZ1JPnKKpKwO9loOv5W2k+ShKLNfL5HjAsCMK2IAj/NaZTf48gCEvA91j//5X2Vp37NIXUTpltp3kTXSzbbBLLh+GGP6/PncvluHfvHj09PQwODr5y5PNlkX9lZcXhmdu7peuNpjP15XGbSVI8EuT+7DLFSgWf9f77OlodR947zpErVmhaaXprIubwossWS8scEhGYXFxn7yjLzYtDTp1og2lBv9fhhpcqNfZPciBKtMQjfObaRef17FS3aT3fTnEDPq8T5bP5Evdnl6hYqfjEcB83LgyTSSWcx5w8I6xolx6JcMipf7ftVpfFdHNmwq1+cyjgdw6yfWuizJ4IC1isuA4LlGyJRR2Q79jSfG9Yj61bf6eQhQv0WmBa0O9zKLA2Im/zCOx2ok2FnRgeeGF0PkvN/aa6aYZh/AnDMNoMw3AZhtFhGMYvGYZxYhjGdxmGMWj9+yya/lx7a85tGIYDmu3v7/P48WNGRkbweDwfWpVCkiTq9fprjWg+a6cjt2EYrK+vs7i4yNWrVx053lc9/3mRW1EUHj58iKIoHzjEHi2soeo6/R2tDqurx6pxS5U6MyubvHNxmIjVH44E/U+0y1SNO1NLdLa2MNyTwawJD633Yn72vkwr+VKFO1OLaJrOWH+XE1GcnjewZjmwqmocHOep1et43C5ujPdjWIm9PaapNM33mUmZh4QsiU7Pt1St0WgqNJpN7k4vEPT76Ots453LowT9Pnwet4P4uy0gMhE1s5NkNOIcALuHTzaWwqmsw3LycDDgOPnu0dN0XDvqP5nmiltcdcNRjdGszyRaDmjN29ButbrikZAZwU+VDqVSlf6uDOFQwKSpTrxYb/wsaflbFkV8I3trzi0IApqmMTMzw9HRETdv3nQi2MvS2S/O7TmI7vPMVkppNBqvlYY/a3b0V1WVR48eUa1WuXHjxpkX3D1PrKFUKnH37l3a29ufO476tUdzHGYLnBRKBKwlA3abqD0V5zhf4v2pRQf0sh0fnqz7kSSBhY0dPnPtAoqFO5zk7eWB5qGQTkSZWtpgdsUUQuhsTTqEkq62FqpWOrxn9XclSaJUqVGqNqzRzSE8VhYhSmaLykbD0/HIEzDNcgQ78sYiIVa39jjJFXm8sIKqqQgCvHNpFK/XTSaddFpJNlHkdEq/94zjPnnPppNHggH2j+wa3+59m5/F7n3bo6otsYhDQNk4dRgBTopsk3VioQDxSIjLo32M9ndxcbiP3cNjVjZ3WF7f5vH8MheHntZMO22vknT6RE6FTU9PE4vFmJiYcFpIr0KpD4p1/uw//CrluvKB39lpuNfrxefzvVYa/qyJougAfK2trYyNjX0otcy9vT2mpqaYmJh4YUvvq4/mARMIm13f4+aFQWduu8O6KQEezK9QqdZIRM3TvjUZc8Y87emleqNJLBzk8nCvA7TZTmGTO9yyi689mmPn4ISAz0syFnZGJU9HQ3sqK+D1oKga+WKZ+bUtBrraCQb8+H0eJ+q1W+2wVDzizIfb0c4mv8Qs7CCTTjK/usX7j+a4N7XIzsExqqoy2t9NOhHj1sQIF4f6aE3GiEdC7FuHje3kTSeSm05o00Oj4aDTFnMGSSzSitfi2cdtQK89Ra3ewCVLbO0d0pqM45Jlbl0aJRaNMD7YS2uqhWy+hKpq3H48y0k2R75UxutxO1nK5bGh536n8GoJJU3Tzrwa+qO0t+rcV65coaOj46kP/ioCyvdcaOfLCwf8D//qLuvHZefnr6uU8irb29ujWq0yMTFBW1vbG19H13Xm5ubY39/n5s2bL0RFG02F+7PLgIVICzCzuonf5yUSCjxBzNtTlKt1StU62wfH3LgwSEfKBHfMVtn+k89wlKPeVLky2kc0FHBqWLut1duRRtU0dN3g0fwqpXKVaChILByk23IUURAcSmvdApXi1qFSrdd579Esum7g97i5MPhE27zTiqaJaNgRQrTrdTuatsSjAHS0tVgIucH2UZa5lQ32j7PcnpynqSjsH+fIpJO0JeNcHhmgvSXBrUujBAM+bk6MEPB7uTTSTzoeY6Svi/GBHga7M1wY7CEWCTHc24nbJXN5dACv18OtS6OEgz5uXRqjv6uDkf5uLg73m4Spcpn3Hs1w+/EcM0trzCytOb16ewKso83MmDKpBIZhEAsHUWplCoXCcwPTy+7Ft7Fg4W3ZW3Xu531oWZZRVfU5jzYtFvDwzkCKx5s5/ujf+V2+OLf3Rmj4i8zuOWezWfx+/4dqUei6zr179/B4PFy+fPmlp/PjhTUnEtt1aF8mzeTiOh6XTKFo1p9el/kVuCSJ1Z0D7s4s45Jletpa6O1IO9HZnvOOhgLcm1kmHPI7iwHzRXvO2/xs6WSUk3yRhqKyur1HrdGkrcWMlr0drU7EtafSbHCtreWJGstXHswwvbROvdHk1sSIUwJ0pO2+ut/hxNu1dKVsOn3CIoy0pRJUrJLABrLsHn7A52XvKIum6TyYXWJ+dZMv3X3Mnck5ZpbWeTy/QrZQZH5lE03TWdrYRpIklta3yZfK3Jta4NHcEvem5rn9eJbDbIHbj2bNQZSVDWRZQtN1ejvaLIe1MgUDJ223MxjbbMT8+sURZ2XQvXv3mJycZHt7+8zbUb5Rtn1+5M59FuroD1zqYK9QIxH08Ff/1W2+MJXlypUrHyoNBxPYuHPnDuFwmImJiQ/1B8/n81SrVfr6+ujr63vltb54f4ZCucbl4V5HgNDWQqvXm6ztnXDr4iA+G0xqSzgc7bUds7XT02YSVkIB/xOBBztKRsLcmV5koLvdQXqb1iGasRBvj9vF+s4B9UaT/aMc5UqN3o5W2lriJKNPVgjZckj2lJhNbPG4XUwvr3N7cp69oyyJaJhUIsrEcB99nW3OY2xZp6a1Y9ywDouwNe+dikedaG+n1Ta6byvA2JlFLBx00nWb+lqzUnCfhVtk0iYA2tGaolSpIggCexZGYQ+o2BHXXqZgM+na0wkKpQqiKLC2vWt9fqs9ZqHt1y6MkE6nGR0d5caNGwwMmP3ulZUV7t69S61WY39/n6aV+Txr3yjR+yOnn57Fub/3YobhdBCX3mC/rPLbS3n+239+h9Izdfjr/NEODw95+PAhY2NjTs/5Tcymkc7Pz+P3+8/cq//S/RlKlRqKonHV0uCyb9rB7gyqpnF7agmP203Q73XGNiNBP/snpirnxu4+8UiAkW67jDAcSWRZfkJimVne5OrYgENMsUGs0y229d0DmqpKoVhm/zjLQEea/s5WAr4nXGvb2e1+el9HK7puOKyzk3yRvaMskwur+LweLg718u6VcXoyrbhl2anFG4otiGjxxi3lmFg4YEZ5w2DbGviw5Y6c3rflhIlo2Dp0DEdN1f58boffbmZ1PRkzG3HJEmvb5kF68IzDPll+aH5/vZk2Gk0Fn9fDxu4B0XAQr8fDrUtjXLsw7HyP9iSYvQ/M5kLU63VmZma4e/cuS0tLnJycoGkazWbzTBtSzmKCIPx3giDMCIIwLQjCvxAE4bU2C37kzi3L8kudW9d19jdXCbo0ktagQSbq59cfbfOnf/HLzO/mgbOv87FFH+y0/sNwezVNcybXbty4cWYArlKr82DOlCcOB/28P7nAcGeao5w12inbS/oSvPfYbCkJ1rV7nTlvg+NChYOTIqqmcaGvg/Zk1JFastVRbFHAzd0j1rb3eGdixGGEnU6l7Qmw/eMchgG1psLK1j4TQ71cGx/E53FbNMwngoy2bHFPptWMtIbB5o6NmDeYWlyjVm+wurXHQE+Gsf5uEyn3uAn4vA5/3hR1MOWPwZSJsifAbATednIbBbdr/FQy7tBBn/DGzc9iYw32wdjb2Y6qaQR8Xue6dvS3DwZJlpAliUxrkpuXxnj38jgdrS1IosjX7k9y5/HsBwQRT5thGLjdbnp6erhy5QpXr14lHo+Ty+X48pe/zHd/93dTq9V47733XlqOvsoEQcgAfwG4bq3ylYAfe51rfF3T8tOklD/52Qt8deWYbx9Jc1y2vghR4Ef/19/jV+9vnCkDqNfr3Lt3D1mWX5vk8qzZKX0sFjvT5Nppe+/xvKN2cmit5TEwUfC2lrjTkmq3lEIPTwpML61za2IIj7X2J30qla01VKZXt+nuaGOsrxOPS3ZAsZIVbTvbEiiqxoPZJfaOs7xzacQRW7SVUcMB/yk1lZrzvu5NL9LdkebKaD9dbSnHMew0Pxl9wjqz++FbjqCj1cby+3i8sMrBSZ7H8ytU63XqjSbDPRkCfh9XxgaIRcN43C56MmYm8gScM1izSpeSdXjZJUzG6iq0pxIOGWbdis45i7xio34xh5fe6rxvj0vm0sgA4aCf6xeGrXvIoNZocufxLNV6g629QydjGO7remrh37P2bI9bkiQSiQQDAwN87nOf42//7b+N3+/nl37pl/iZn/mZF17njCYDPkEQZMAP7L7ukz9SkyTpuSfYs9zwdEbF53pAranhliU64gFylSZ1ReNfvr+KR6/zt4brJCLPT3my2Sxzc3OMjIyQSCSe+5iz2tHREYuLi4yPjzu9+texL96f5Z2JIaaWNhy02+vxsLi1RWc6QTwcYnPvyEmZ+7taWdrY5fbkIp++NEJbMkY85OMgm8clS6xsmddQFJXZ1S0+e+0Cc6ubHGUL7Fv1csNiZXW2JlnZPuD9x3P0dbRya+JJitmTSTG5sGbqhVvsNbuGjwQC3J6cpzUZpSUWYbi30wHKbDPX+R6RikedXrVDHNFtVZgIa1t7FlfdfN9bBydUa3XGB7tpNJsEAz6GezvJpE2qrEuWqDcaVGt1dF0lk4pTrVZJJ6L4vR5a4lG62lKomk5LPEK5UkOWJTweF1fGBvF5PIz3dxIM+rg2PkQkFCCdzdGeauHh7BK6bvB4bglZkhBFEVXTOLAOWLtjYLfUTqfkz7NXEVgCgQC9vb384i/+4kuv8yozDGNHEIRfADaBGvBbhmH81utc42OvuV/EDfe7Zb57vJ3VoxILewV6EgEMA1pCXop1ha9slPmrX3jI1NbTzDvDMFhdXWVpaYlr1659KMe2aaTr6+vcuHHjuY59ltLg9+5O8f7UEqPdrY7Cp40spxMxHi2s8s7FYUfJJGFFnIDPw3tT8+RKZYJWjdjf2eZE4D0buFIUytU6n7l2wYnATatjE7aiTiISYnV7n9uTC1TrDd6ZGHGYYH0drRYxxXCE/m3n7Ei3sLS5y9LGDqtbe1wY7MHr8RANBZyb+jQhxcYRHM006+9jp8qtyZipUgrOQEauUGJhbYtqrcHtx3NUaw3uTS+SK5aZW91m5+CE1e19Dk5y7B4ccZTNU63VOTzJ4fN4HJ745NwKs0vrfOneY6ZXtphb3uD+zALZQomDk7yjzW53AXo722kqiglQWtmJ/a+NN5zFuT8OAoslpfSHgF6gHQgIgvCnXucaH0srzHbuV3HD/+j1buJBD8NtETazFTZPyoy2R1ncKxD2SGyeVPjjf/f3+KdfMU9jm/ppa5t5va/GG17knPa1VFV94QDJWer+te09ljfNtFFyexjsztCXSbN7nAfAZI4K7B5liYYDpBNRp8btt7Z51hsKyztHjPd3OYIHiWjI0SUrV+vUGk2q9QapeJQro30OsQVrfrknY6amXreLmaUN3p+cp1gqcePCkANEtSZiTupvM8Hsw6irLYVuGKxt7/Pl+1MUyhVkUeSdS6OErHFduy4OBXxOmm4j7/atkLAXBbSlnIEWO6IXK08vF7R57R1tKQc3sFuA9t+oWjWfYx9+fV3t6LpBwO91ZsQ3956uzZ/omZuHqK3N3taSIJsvmtNjm+ZW1KuvcO6PcSHBdwNrhmEcGYahAL8CfOp1LvCxRG5VVc9ESnlnIEWpppAO+9g8qdAeC7BfqHKtN0ln1M3SQZmg18W/vL3Gj/2vv8Nv/P57L6R+Ps9exJY7TSMdHh5+4bVexbYrFov84y/8uvX/TNmkubVtUokoPW1JMAw2LOS3rSXO4sYuzabiqJn6rVZPazLKSaHMzMoWlWqdmxeHHa64IOCk+qIgsHN4Qr2pMNSToa+jlXUrEklWe6y/qx3dMBAEWNk+4O7MIkcnWUZ62ui0+NmRYMDhtNupuB31ejtMKWaXLHN7cp73H89xlMuTTsZIJ6NcGx9ixJIi8ns9zgSYPTduf88pa6Cluz39gUhug4Q20NhqKcH0drRRrTeQJenJHLnVo7fPWMHu0VsEGtthBUFgbcvax2ZtGbFbjc5KoXQSWZK4OjbE1fEh3r1y4YWTYLadRbP8LVFPN4F3BEHwC+Yf8buAude5wEfu3IIgcHh4eCZSiiyJfN9Ehgcbx9zqbyEd8bK4X2I7W0HRDFojXvpTYRb38iwfFPh7D8p8eePMG02fOxl2Fhrp6c/yosi9t7fHzMwMRUUgGQ3RkU4601yapplySRcHnUhkTzulkhHuzixxY3zQiaI20CYKAnNrW9yZXiAc9NGbSdPf2eZEMXsnWCQQYHZli3pToa+jlfZUwllEYM9r92ZaHQJJvlxjfn2Par1OVzrBQEcKlyybQN0zDmc7Qm9HK6qmWf3hfQ6Oc+wennB/ZhFREMikEtycGOHGxWGGezudEiJvK6JYd5rt5D2ZVqr1hjVzbTrhkxXA5oFgrxKyiTcmPdQ8vOyJMLeVrdlAZNimrra2UK038LhdTnts9+iETDqJz+vhXUvAQRIFZEnkvYcz+LyeVwKnH5dQg2EYt4F/AzwApjB99e+/zjU+Uueu1WosLS0hiuKZ0esfudpNsa5SVzWqDZWwz0VXIsDScR3DMNCbNQwEhtrjLB+W+Tu/OcOf/QdfYb/waic/HXnPSiN90fNtszGE/f19Ji5d5t/9/l0EQWSwy+pNGwYrW/toukFD1bg+PkjA62HZQodjoRAgML+2TbXWYKj7SeQY6GpzHHJ955CN3SN62tP4vR5i4YCTCtspbHsqwf3ZZcrVGsmoySu321F2m7ElFnEOmHK9yebBCbLbjcctc2mwm9ZExMwOrPdnt6iiVlust6PNIaDYGUSt3mTn4IR6vcmdyTkkUaCpKPR3thEO+Hn38hhet5u+zjYn7bepqj0Zc+baFEkwXzP7DJAXt9D63o42dF0nHAiwvX+EwRPmm93PjkYjuF0yLdEwA51tjA90cWGgh4nhPgrFMjsHR9ybmuO9R9Ns7x/SaCrOYMz1iy+eBLPt41RhMQzj5w3DGDEM44JhGP+lYRiN13n+W0XLT6faNhre09PDycnJmUkkFzpivDvQQqWhMrWT50ZPAgwBAwjLOo92K7w7kHJ2PnUlgvzuzC57+Sp/8lP9/Ng7/S+8tj0Z1mg0ePz4MclkkpGRkTO/t2cjd7PZZHJyklgsxvDwMF+6P0ulVqdSq5MvVbg+NkC+WHYcWWkqPFxd48poH9l8kVKl5kTI/s42Hi2sAgafvjSCLIlODzsaCrBuAV/HuSJ+r5dLwz387vuPnkrT7Q0A9gIDtyzRZzHSdN28gTtbWzjKFvC6XQ45pFipUa7WEWUXO0c5roz0matt9w5ZtmrRmpVKJ6NhVjZ36cmkzXac8SS9tpH3cDCArhvIksTs6hY+r5tGo4muG+iaQSjgx+91c3Gol9aWOC3xCD6Pl1qjjqZq6IbBxHA/kiQxPtCD3+flwlAvqWQMj9tFNBSgWmvgcrnQNJWuthTVmjmyWanWaTZVRFlmeWuXW5dGeTA7x0hvB5VanbZkgr3jEzxul5Mx2Ky5l4152nYWQC2VOpN+4Udubz1yPw8Nf92FAt813o7XJRHxuUAQeLx5wmBMpomEboCi6RyX6wymw+Sr5g0V9Lj4uV++z3//L+6wflR67nVFUSSfz3Pv3j36+/vPRCN99vl25C6VSty7d4+uri5n7dFv334MmMoqMytb3Jtdpq/DRMxFUWDFYpd5XS72j3LcujjogG9uS8whk0rw1UfzJKMhGxujN/NkFHRla4/jfIFytc5IXwe3JkacNH3nyFZssYkgLbz3eJ6D4xwel4ueTNohfnS2JtGtNbrPRmm3282j+VXcHg+tyRhXR/ucPWHFkrVP3OKPd7bbvW/DEfS3B0nsfnFfhwkU+i02WKlSZX1nn6nFVXLFErcfz1Fr1Ln9aI5ytc6DmUVWt3Z57+EMM8vrLKxuML24SjZX5NHsEvWmwu1J8znvPZrhOJdnfm2brb0D5lc2ANh3xkntyTVLidXWKG+Jo2m6Odt9nEWSRK68ZBLMtrMAat8I457wlp1bUZQPoOGvYqg9z/7QlS4ebuS43BVnYTeLbpj7qUIemXTYS6WhsJOrEQ14iPrdJENeDovmzbeVLfMHf+G3+EdfWqShPnldwzCoVqusra1x9erVN2qZ2ZH7dJ1un9KGJV0kSyIjPRlrOENg6+CYkd4Oxnuf7MbKl8o0FJVsrshQVxuhgM+R5s1YbZujXJHJhXVuXRzGbdEZTdEHa4d2Ns/82g6GYXB9fJDB7vYnI51WW8eWPErGwnz10RzrOwe4ZJmLQz3OfHlfp0nDxDAcYowNPGVSCVa29tg5zLKytU8mnSAWiTDS20G9YUbyiA1OpZKOsqnNJKs/s6ygr9Mc4ggFfM5jbJTefk17yaG9vSQeCZmf69TAhy1fLDsMtYh1fZPWGwkGnHR9fccivDyzfDBt0VBt1txgVzuLC/Osr68/tRfsWfs6iCO+sb1V53a5XIyPjz+Fhr/JKqBYwMN3jqRZ3DkhGfRwoTPGXrHJ9F6FobYIxZpCMuihXFe4s3rCeCaKqhtkYn42Tso0VI1ff7TFH/yb/4mvLew7NFJVVRkdHT2zQMOzJggCq6ur7O3tfaBOn1/b4T997SGDXe2OfFIk6Gd+fYeZ1S08HhcDHWkCPg+L62Y6GAoGmF3bJuL3IAnmzWSntp3pBNV6k9tTi9QaDS4O9TjOGg74Hc21eqPJvZklQn4ftyaGnbQZnsxb23rpfq+Xrz2aZWpxHQS4Otbv1OJdbSmndWQvDrSZX/YkWK3R5KuPZplb26baUBjt66IlHmWou51I0MwWUvGI40g2JmBnBEFnI4kJXEbDQScldgZKrCk4Z6Ak82TgI1comSi4zVDLP70myC5jeq2hlo7WFPliGVmSWN0yywtHN10UuTExSqolRmd7C5+6fomxsTG8Xi/b29vcuXOH6enpD6wK+jqII76xvfU+97Mf7E2W+B0fHzMRqXNU1UGU0Q2DgEeiN+Fj87hCvtpgNBNlfq9AIuhhv1DnqFhjqDXCcbFOfyrEwn6BnVyVv/arD/mT/8t/pCGdfejjeaYoCtls1hGef3bc89e/+gCAubVtssUyA51tDHW3OxFg7yjP6s4RF/s6HMLIkcWvbksnWds75spQj8OF9rltmaIQk4vrTC2uE/B7ScUj9HWaziEIOBNnkiRye3KBtmSMa+OD+L0eB1m2b0a7j26i8Ds8mF1BVTVuXBiiv9OUEk7FI06v2ul929Ni1txzJBRgbXufudVNVrcPWNzYJRQM0p1JMdTTwcWBLoa62kzxBcNwBBDsFtiTSTDzesloxCLBPJEXtrngdpvQ7oH3dLZSqdXxuJ7UzPaQyJPlBRZ5JZUwxSZH+rg43M+nr14kFg4SDviZWljh7uQca1t7bO0e8s7lcTwejyPkcfPmTXp6elBVlfn5ee7evcvi4iLlcvmlXIdPbFoOHySyvE5NazPEVldX+fE/8Ck+PZSiNeJjajtHpaGR8MtsnFRIhX3s52pc7U0wkA6zsJcn7HOzeVJmIB2mPean0lDpbwmweFBkOafyF78wyz+5u0+p9vwxvZeZ3QcPhUJkMpnnfqbf+Mp9AEZ6Mixs7LJ1eOKwxdqSMXaOcuiGQa1pyvEOdrc5WzfNhX4C5XoTn8/HYHe7sy63xVI5EUR4//E8xUqNllgElyzT39nmoOF22y3g9/H+43kyqQTDvR0E/V6HPWYLEg50tztz4subO9ydXqRUrdLR2sKl4T7aWuJEQk/QeGe/t3Xg9FjRNBTwO+n1wUmejZ1DmqrG1PIm4XCIWr1BT3uKRDjIaG8GWYRLw33IkkRrMn5qEsxMjdtTSWeDiB2d7RLDBrFSViu1t6sNVdMIhwLUG026Wltwu13cujSGz+vhytigSSk1wO1ycX9qnkqtxtTCKvFomGK5is/rcQ6Im5fGnvo+7UDV1dXF5cuXuXr1Kslkknq9zvLyMg8ePHhuCv+20nJBEKKCIPwbQRDmBUGYEwTh3de9xtdfC8ayZrPJ1NQUwWCQ69evI4oiN/ta+OdfWyUTC5D0y0zvFbnZl0QU4P2VIzIxPxGfzEA6TDzg4c7qEe1RP9VGkYvtQRRFwQAGWyPcWzvma2s6v/O/f42/+Acv8aM3e5GlV59t+/v7rK6uMjExwebm5nNP7Y29IzweDx6X7KSGmqbx/vQStyaG0TXNmjc22D7KcZIv8alLI7hlmZmVTZYt7ngiEmJpc5eQ30tXKobX7SJozSP3ZdKsbJmONLW4SjwcoDOdZHljl0Q05DiinVrHIkHefzxPW4s5rFKu1RyNcHvAoj2VeCJEeHjC7uEJ7akEe0dZvu3aOKqqsX904kTerJUG+zxPVFsfz68SCvidx9iz0fZqonDQz+TiOp1tKebWthEwo3G9qRD0efB7PQR8Xno72+huT5GIhYkEA1TrdSRBRDcMro4NmVjBcJ9Z3nS3k4rH2D04pq+jjUezpsDF7UczDn+8qSh0tafRdN3RfLOHUdKJOOvb+/R3tTO9uEpPR5uzQPBFJkkS8XicYDBIT08PLpeLbDbrrPYNBAKsr6+/TXHEvwP8J8MwflQQBDfm4Mhr2ddthe9ps3eHdXZ2PsUQ+9EbPRyW6rRH/ciSSE01UHWDw2KdTMxPJhZgdrdIXdHwuiUkUSAT87Gdq5GtKNR1mZG2iAOsJQIuclWFX769yvf/jd/gt6a2X5hiGYbB4uIiOzs73Lhxg2Aw+EKG2q998S7351bpbEs5kWasv5NKrc7tqSWa9TrxiCmcb4sbVmqm+unnrl9walKb8NHX0crM2q5zUMATrnYiGmL/pMBBtsDW7gHdrQl6rRW8bll2lhzYU2mtiTjvT87TaJic6u72lKPZnbZ6zS2xiOPkdkquqhrvP54jGPDT09HKO5dHka3ldzZwZs9921NYoYDPKQWcBYKWtVnEnJ7ONupNBVkS2dw7olprsL61w9rWLoVSmamFVRRV5cHMIsVKlfvTCyysbvLVB9NMLqyyuLbF8sYOhXKZYrni6I7bWnED3RmaikIkFDB544bhZAH26Kj9t7GBvpsTo8+9B55nds3tdrs/kMKvra0xNzfHD/zAD/DTP/3T1KwOw+uaIAhh4LPALwEYhtE0DCP/utf5yNNy257nRLYQwtzcHFeuXPlAfzAR9PCjN7o5qTS5t5HjSrufelNl9ahMOuzFbUXeTNzPlxYOuJiJOvJFmWSI9ZMKkijgdkkkgx5OKmYqKokC60cl/tGXFvjhv/WbfHHu6Uk6RVF48OABgiBw9epVZ/j+RQy1X/viPcBskxzlSgx3ZxxQzed2MbO+h6oZZKy1tR6XzPzaNiBQbzTpbE0w0tPB0ob5Pux2ldslc29miWtjAw7SbrfFZElk5yjHxv4Jqm4w2pthoCNlgWiGwzSzW2xd7SnuWKL+giAw2ptxPkuXdTiEg08isE1DDfp9rG3tUSxXmVvdIBkNEvCZWmf2fnBbCMFGuEMBv9MWs3EFwzAfm7IOlL7OdpqKaim5mAeBXT7Y32HYYtf1dZrYRSoedcQUbWqpncbbmULsmXVEXZlWCqWy2dfefNLXdskyLlnmnSvjfPbmlQ98py+y5wFqdgr/5//8nyeRSPDVr36VH/mRHznTrMMLrA84Av6hIAgPBUH4RUEQXruQ/1gi9/MinqqqTE5OOkIIL9od9kdv9BAPuOlOBKgqOrIk0h71oRvwlaUDPjfaylHRjHz1WoX1vMqnB1Ps5sxT0+92cX/tmP50mETQTSrkZnm/iCwKnJQazO3m+bu/NcMP/63f5Hdndpz6uqOj4wOLCp73OVa3D1i3yCDpeISTQom13UNHGH+8vwtV0ylWamwf5Xj30gijfZ1OzXuUL7K2c4jP4+LGhUEEAUdSyYx2ArMrW2zsHXLr4pOhhsGujOPw+yd55td2iUTCXB3rZ7S344mskdUSsnd69XW28XBuhbm1HSq1Gu9cGnWin+2cPq/b6X0XLH02Gz9IxqLcn1nk4ewSj+ZXiIb8eFwy714eoyUeIRwwtd3APCxsGqoNFNotr7gl4DDQ1Y6m64SC/lOtPLO0KJZsjTPzb56xUP+eTCvFchW3S2bFItnYGYf9N7G58a0tcURR5MJwH5fHBvnsjctEwwFkWeT24xnefzjD1fFX97dtexWJRdd1AoEA3/Ed3/FhZL1k4CrwvxuGcQWocMad3KftY3HuZ3vd9kL7ZDL5SiGEy11xGqpOa9jLTqHJxkmZ3pYQpbpCxO+mVFOo1Or0xjyUdZmmZqBoBl6XxFh7lOWDIpIoUFc1JndKdMV9dLcEGWqLsnJYpCXkZWm/wOJ+gZ//N3f5g7/wm2wZcRLJDy4qeN5igi/83m0iQT8dqThb1mxzeyLM45Udbo4Pohv2nHOIzf0T3nu8QDwcojUZIxENObPasizx/uQiV0b6nZrWBsuGetrJlyrcnpqnqaqM9nUSsVbetrfEHY55tlDmwdwKoVCQGxeGGO7OsGNHxSPTuWzudUsswtLmHu8/nmNz75DxgW5S8Qh+n4f+TtPh3C6ZFStC2iINNg11oMtMfyu1Ou89muO9R7PsHp5QrFQJBwNcGulnYqiXS8O9XB7tdyiedv/Z6YEHnxBdwETrbSHDAwvIa1q70pp2b92K6P1dGRRVIxL0s3t0gt/rQdM0ro4P4fN6uH5hGI/swiVLuGSZe1NzVOs1FlY36W43aa+tLXF6Os6uhvsyzfK3qJ22DWxb/HIwOeZXX/cibx1Qe5Eai6qquN1u9vb2WFtb4+LFi2cGHj7/bQP87L++RzogkWmJMb9XoKFoXO6Kcm/1CEMQ6UpFEDAXym3nKuzmqtzsb2HQG6bcUJjbyeNziRyVGmxk63xmKE1vS4hEyMu91SP6k36Wj6tkoj7+xy885B9+ZZU/cqOXH3u3n7DP7Xy205HbMAy+8Hvvs32YZaS3HdHZlxVlfT/L48V1+jvTtLXEaY+HOcoWAYPJpXVqjSa3Lgzwe3cmMQwcUM0ly+wcZbnQ1+70su12UE8mzeTCGgDffv0C7akEmVSC3aMsAZ/HqbcVReHh3ApXRvq5NjZgMcJsrXEzY4iH/BzlCkRDAWfiqtFUUFWNtmQct0tGVTUmF1aRRNFxcnulUTRkZokD3RnmVjatKGoJDmbzLKxucmW0n8cLa1wbH+QomyeTSqDrMNzbiUuWLRljH+9cHiMcMJVSwiE/2XwJj8dFvd6ku93A5XJx/eIwIb+XYDCA1+ViYrAHt0uiryNNyO9laVMllYwxtbiC1+NGUVQ0TSedjNNoKo7Ci+2YUYth9+6VC68VYV+lbPo2lE8Nw9gXBGFLEIRhwzAWMCfCZl/3Oh8LWi5JEoqiMDs7S7PZ5ObNm68l2v4HJjJ84d46x9k868dlWqM+RENnaTfHcFsEl0tmYa9Aralxqy/JymGRwXSYtcMSJ+U6N/qSDLaGEXSd6d0i6YiP2d08+UqdtoiXpF/G6zK/kEw8yE6uSsjr4q//+0f8zvQ2w21RPv+ZIcRnau57c6usW7vAfLLMo6UNboz3s7xpOup4fycP5lcJ+X3IaRNQGu7pYGF9GzAFHK6O9qOoKpOLJm2yVKmiajq1pkoiEqIjnXBUU9KJKOs7B4T8Pr78YAZREBjt6yQaCtDVluLx4iqCgOPkLpfMnakFxvq7TJVUUXJGQu2/f3syRr5YxucxU3HdMNjaP2R+dYt3Lo9yaaSfWDjIzPI6TUVxHNjRR3Miebu58cQls7Jhpsq2DJLzWqkkd6cWzO9rdRNBEPB5PVRrdYb7OllY3eTWxBiPZpe4eWmUR3PLDPd28mh+maDfR6VWx9B1UokYhyc5Lg71sbq9z/hAF9V6A7/TqmtlfmWT1mSC/eMTZEli2XpP9q7visX0e+fKhTPfh68ywzDeZvT+88A/s5DyVeAnXvcCHxtaPj09/YGF9mc1WRL57HArogCHxTqq0kRQGxxWNWoq1BSNeMDDeCbK9E6eSl2hI+7nqFRnqC3C3G6Bxf0iPrdIzC/TlQhyUm7Qlwrx/vIRqgFBv59U2EvB6oPbX5IoCPzzry3zc//mLv/dF2b43bkDR93zl3/nfW6ODyAAa7uHGIbJsOrtSOPzuBGs0UWXS+LuzAqXBruczZ4+j5v5tW0ezK0SCQSYGOoh6POysG7ehB5ZZnP/iHKlRkc6QSwUdBxqsNsUKNB0nTtTCzQVlXQyQsDnZaCz3dkMYrO+wgE/s8ub1OoNQn4fNy8Ok7NQfbvVNtBtzn27ZYklyxGy+SKP51eoN5ocZvNcGRtkYqiPieFeR6bIfk+2mOKApex6erbbbo/ZEa3NajsNdLVTtQgp9oFwcPK0lnrMirD9XSao1pZKcHiSM7n6Vr1dLJuf1+szU3yPJf4QCz+hvTaaTRKxCNv7R4iiQKFU5tqFYd59Ted+mfM2m80PtfDymdd5ZBjGdcMwJgzD+BHDMHKvftbT9pGj5UdHRxwfH5PJZD6w0P517L+41ctGXmGi1YtgGEweNvjUQIpYwM3MdgFBgKjfTb7apKclzMPNLBc7YiSDXoo1hZH2KI+3CxiGgc8t4ZIERK2JDvS3Rrm9ckQi6CHsddERD7C4l8cliWwcm2jsYaHG1E6Rf/TeBu/833+F/+nf3OELX53lzuwq74z3U6yYoJ7X7ebB3CpdrUln4f1QVxu6YfB4eRNF1ehqbWG0r8Ohh24fnjC1tMHNi0OmYINhsGcBRB2tSe5OLyPJEkG/F1EUHH70YJfpyNV6g7nVLSRJpDeTxu/z0N4Sd/TE7RVGiWiYncMTdo+yHGYLXB7pczaK2ISSoZ5ONE1HliQHcT88MbEEEXj/8Ry1uunsA13tBP1erl8YxrC+e7u9ZItEBP3eJ/PU9k5va0ItYVFfB3qecMLXt/cx+KAqqj0M02Fxwfu7OqjWG4QC9vJEgw2LR960Dt+A9V68Hpnuthb6O1q5ONTH5ZEBNnf22do9YKC74/VvxhfYNxI7DT7CyG0vtF9fXyeTybwxn9s2QWvy3d0ujmsGZVVkIBWioWpsnpTpT4VIhnx8aWGfd/pb8Lkl8pUmoiAwaQk/uCSRpmbQFvbwpfl9MmEX0XAYQXhyM4S9bu6tHdMW9TOSiXGxM85hsU5vS4j14zItQTcbJ1UkUeSffmUZIzWEr/8mu3qY/v5+UvEwsytb5rWCfvaP81wb63eIJZ2pBPdmlznMF4g7RJK4M86ZL1Vwu91825UxchZiXLYomx2pBLcnF+lMtzxR+7SiWjoRZWv/mGK5ag2vyIwP9BAO+gkFfA5F1b5WJhVH1TS29o64PTlPWzKOz+Ohs7WFYMB0osEeE6ySRNFpVeWtPrHP9WQP3HuPZnk4u8Tj2SU8LhlJELk5MUJbS5zh3g6GezsQRYF4NGxlEgZbu0948fCk39xrUWDbWxIcnuQRBIHlTbOEeVasMWHNeNttsvZUElXTGezpIBQM8O6VC8iSREc6iW4IbOwdoekGUwurNCz+/qWRvheuDHqevWoB4FtUYXkr9pHU3PaccyQS4fr166yvr782v/y02bPh3z0Q5hCBYk3B55YwDINSXaUrEUS0FDV0w2Bhr8CV7gSarlNsaDRUnVK9SXfCT9ViK6XiEW6vHPHpoTS5SoOg18XWiVkj1hWNqa0s13uTXOyMkwh6WDsq0R71cVRu0hnzkqs0kPUmmjvAYa2J6Osg3J4gUKtQ3V6joapU6g2290/oaU8hSyKJSICtwxN0zeC9yXkuDvUQDnjZPcwiSyIL6ztUanXzJu1M01B0FtbM1NNeNCCKInenl7g42INmIdBdbS3sn+Twez0sru+gahrH+QKKovLpK2NML62TzZdYtGp9G1TramvhJF+kUm/w+3fMcdVMOsE7l0Zxu1zMsclAdzvza1uIosDOoenkquUM1iYkuttTrG7t4ZIl7k4v0FQUs4Ze2+LqmKkBPtLbSTZeJBENo6o6fZ3tiJLAtQtDeNwuxgd6iIeDDHR30J5K4PV6iEfM3d4uWUR2ubg6NoTP4+bdy+P4/V5uTIwSDvhoS8boSCe5MzlPR7qFO49nrbo8iyxJHFsySwe2jp1k/i0/deUi+/v7LCws4Pf7icfjxOPxFwaib6aJMPgInLtYLPLw4UOGhoacvddvMhkGZvRfXl6mUChw48YN7t27x+WuMF9dPGQ7W0HVDK71JFnYy3NUavCZoRTrx2XKDRWXLCJokAx60DSdlYMSg3EZyS2SDHk5KppRrKnqzO7k+Y7RNtaOy/SlQszv5gl5XawelshXm3QnA/S0hPC7JdySQNYCijRNB9eTOqyuQtObJDEQZkUFV6ubWNLPnblZulIJhy8+3t/Jw/lVppY2mBjs5spIH01FYXp5EzB73yvbh1wb7aetJcbd6SVnHDOdiLK2s8/W/hGlcpXrFwYdNcKhng4eza0gCgJLGzvUGk0K5SoHJzm+/foE+yc5Fta2HMDNFncY6GrnwewSAZ+XO5Pz6LrBSG8nXW0tdLWlnRbg3Mqms30EQQLZ7CLYyHkmFWd99wiP+0kNnc2X0HUDVdWYX9nkxsQIdyfn6e1sY21rF5csIWDSRWuNJiubu0QjQVa3dkglxlhc3+LiUB+PZ5dIJaJORPf7vFSqNfq72tk7ytJqjcraixi6M2kOT7IM9nQwt7JBKh5le/8QWZJYXDOzqz/wnd9Gd6bVGQfOZrMsLCzQbDaJRqMkEgmi0ajj0N9Ms9zwETi31+vl6tWrT51+siw7qdBZTVEUJicnCYVCXLt2zanVf+IzA/zb+5u0Rf2EvS7m9vKkQl5aI362s1WqTYUr3Ql2slV281U+NZAiX64Scosgu5k/rPDpwRR1RUfTDZb3zT74UanO+lGJz421oWoGyZCH+2vHDLdFWNgr0Bb1cXutSMQrUm0q6M06gsuHYBi4/GF0w6CBCwydmiAjyuBKZNjRdAIj30ZRqVCvFBi5mEZTTQAoFY8wuWSi5N9x/QKx8AkuSXLSaIDbU4tcHeunVm9wnCuSK5oYwEBXG/eml3g4u0LQ7+XWxeEntXh3hoX1LXNDyO6BBfQ1mV/d4saFIQQBJhdW2bAAL5tjP9jdzqM5s5W0vLlrbu8I+Jhd2eDG5QsMjF9C8oY5VCREyc/antmdaVjYQbolyfruEd1tLSxu7OD3up3XsPdrG9Yu9lQ8ytrWLgPdHcwtbxAK+i3ijOFsD7XrbXvgpbu9lcOTPAPdGZbWt83nWAeVPcDiLCqwDq6Ivdo308bhSZ7Bng4MDLraW51FBIIgEAgECAQCdHZ2omkahUKBk5MTVldXkWWZRCKB3+9/KWb0jRa533rN7fF4PpDWvG7kLhaLDktsaGjI+YMKgkDU7+bz3zZA0CNzd+2InmQItyxRVzVkSSTi81BvqmTiAUbaIqzs55jZK3G1J8lxWSHuk9jNV7m/fkx3MkAq4mOkPcr8bp6I383CboGtkzI+t0xvS4iI1eOOuAx0QyAZ9JBtisgCuEUdtZxF0zT8ko4gyej1CiCi1soIgoiomhmCLItI0XY2q25W5W6CAzeQMhdwJbuRIykeLO+i6XBxqBswUXq7ZeaWZeZWt7g1Mewg4bpF/Rzp7aBQrnJ7aoGN/SNuTgzTkjDr0a62lKOXZhNdJEnkztQCLdEQPe0pRvu7HOVTj0Wz7e3pwQgm8GWGWVejBMe/kzUtyaG3kz0iNJERRJFwKsM7l0bxuF1OCg0Qjz6ZETcMw1w3bCH39hSWXW/bKHt/p42GJzk4zln19hPU/rTZM+j2c1qTUbL5onkobWxjKs8eIIoigiBw/eIIkXCA4b5OYpEQ8ysbJGORFzqqPSQyODjIjRs3GB0dRZZltra2yOVyzM3NcXBwgKI8vcvubdbcgiBIFvX0P7zpNT42EstZnXt3d5eNjQ0uXbr0gT+UfZ0/+ak+/unXVrjQYbZU3JLI9FGJ3kSQ9pifLy/sm5Fd0hAEgeG2CKvHZVTdYCDm4dF+me5kkIX9AsfFBp8eStES9pGJ+bm3dsxAOszt5UO8LomgW6Qz4kIVzD/VUd50XkPXUQQ3giiBKFEtF5Ddbvw+F1UA6/NqFjJca6rgMds1TQB3gJIg424bQDQMNEFCqxV5UHHRMngZn9vF7vYWkqSwmauC5ELVNI5yJW5dHHY44EGLrdXTnmZ994Cdg2OGutu5fmHQaUclo+EnqqHFEoLsJhBJ8HgnTyyRQA9GybRfZFPXCF7uYV808Pebjq6WTxA9fuqNihMJ9EYV0eWlpHso1avMLK3jcbs4yZcYH+zB63Vzc2IUEZ3WZIzOthR3J+edKTQBWFwzS5Cc5bgei4vf2drC3uExA90dLK1vEfB5HSe3W2t2+82e8kpGIwQDATLpFhpNBZcssXt4TK1W5/7kHE1FdXrjw33m4fmZG5fOdD+CmY22t7fj9/s5ODigtbWVk5MTtrfNwzcWi+H3+ykWi28zcv80ppRx+E0v8LGQWM4itWRrr9kLBp7XC7elif0eD3/he0b5J19bIeSWmd7Nc6u/BU3T+crCAZe74jRrFWaPGqQjPtqipsMPpEJs5isMt0VJhbx8aWGf0bYo99eOkQTwpUPEAm7iAQ/LB0V64j6mdgoMpENgCFxoDzO9k8MwNHB7MQwDTyCEiogu+1BlD6DiMRrUMEBTMKzUHXcAQ9doCi4MtYkgu9HrZURvAC91akhI6KiSj7pRpy5HCXcHaQpuCoZOIDLIgigjdcdYEIKoUT+pjjBLjSre3iso4SAeMYnX62O9UkKsBIgabloufQ5RduEvV5A8AbZqRYIXL7Gn1vEPDNEAtGoBRQyiVrPIQRkVENUmuuR2BMJFT8B534LzMz8+yUTsh3s7mVxYpVavM7eyjq4bZFoS7B/l6GpLkYxGGOrtpCURIxYOUqvVUVQFVVEZ6c2gKE0uDvYS9Pu4MjZIImry1MNBP9VaHbfLhaKq9GZaUVWN0f5uKrU6Xo+bpqKwvLFDSzzK+4+muXlpjJWNHS4O9zO1sExne5qt3QPzoNgw6+1vu3H5te9jTdOQZZlIJOIsmFQUhVwux6//+q/zC7/wC8TjcVKpFD/8wz/sYE6va4IgdAB/EPhrwBsvHPtYSCwv2hdmW71e5+7du/h8vpeSXE6ruvzha91kon5qisaVrjj5SpPp7RzDrSEq5QrbRY2LnXE64wG+unTAeCZGKuzlpKYhCgLT2zlu9bcQ8buoNjUGWiN8ZeGAoNeFLAkE3CJVK3WMB7wsHxY5ypdA1/AadSRRwGhUUZHwCiqi2wtKHRWZmqIjBuPoioKuNPHpVfRGFbfRBEFAb5htLl01a0o7vXO5zEgkeQJgGCiCGxkNQRAxGlUHOFNFD5orQFX00/QmcEdaKIpBRG8IPZhCCsRwRVspyxFqgpeq4Ta3eshuJNmMyLrsRVfM1zc0a1rOG3ScuVmzZreDTwKHRzC/Q8n9ZNpp31KUtvvQA10ZdN1weupgsLF7wHG+QLFc4fHcMvVGk9uP51AUnceL6xxki9yfXWJqcZX7U/M8nFlic2eX+9Pz1Op1bj+epaE0ef/RNIVKmXvT8xwcZ5laWKHRVJyywibLqBYGYNfqtorLYK/Zw78w1Oek9q9jz2uFuVwuUqkUn//85/kzf+bP8KM/+qMUCgXW1tZe+/qn7G8D/z32xMwb2sfm3C+K3Nlslvv37zMwMPDCTSTPu44oCnz+M4MUqk2OSnXqikZ72I3arBONBFER8Fijky5JwuuSuL18yFiLB59LIltpUm9qLO3nudHXgqob5ibOsI+vLR3SEfWRjIVJBr2sHZcQBDjIV0ByoxoiGiK62sBtNKiUTRAn6Db/nIZipY2ygeQNUq43Eb1BXJIZJSMBF6JSA9E8xJqYDqdIPtBUBNmN1rC40IpZY4es/rPgMv8VvUEkQzMPi/rTCwREy0kFUXJ+17AOKtwBBAttMpoV6w9rjbTKblxYB411wCqCG0E3f+aWRGRDxe+RoXIC9TLHlrzYYdZ0LHvE1J4wa7dqaIBla6TVFji05Zb6usz+dk9HKwVr2ssuI9atGt2WVo5aaW+f1RMf7DbJLNFw0GGsmXX3k/fUaDZpTyVpiUe5eWmMH/iO1xY1AV7dCqvVagwNDfEzP/Mz3Lx5841eQxCEHwQODcO4/0YXOGUfyzz389JywzBYX19/rQV+z45c3uxL8v0THcT8HoKSSqmhEgmH2czWuNKdoFRXeLB+wtXuBLphoCGgGwZHxTqj7RF0A04qCrphUK4pjLVH2DjMA6bwwJ2VIwbawvS2hIl5RXD7MNQmuuzF0HW8wQhN3CDKaNWCI6Pr9phOVlNNJ/L4zRuypklI/ghlw4sue5B9QVxqBb1ZQ6znTYe2HM5QTWesWfrsDcO8qSRvANQmgiA4YJ3P2rZR082/vSi7cVtO6nOZzxPd5nsSJNnMIICAFW1lXwgsbEDSrejs9ZkZRr1Ao3CMWs5RbqoogkwVD5oOeAL4E218+uo4Qb+PZCzCrhVF7bug3VrBO9CdoViu4HG5WFo3U2N7U6g9i22roQz1dtJUVBKxiLPF1Ga57eybdbfusNzMzKLfWgM02N1BPBLmxsQIqXiUS6OD7B4csXt4xOzyOrcfzXBj4mlJpbPaWVYJvYWa+9PADwuCsA78S+A7BUH4/73JhT6SyP2sgz+bltuz3JVK5cwL/OzrPHtI/J9udnCSK7BT1OhLx1EN6EuFWNgtcFSsc6u/he1chQcbJ3xmOE22prGdqxDyuvDIIq0RH6V6k7XjMnqzTiIc4EJHjPndPG5ZJFdpcmflkJNcAa1eJiDrGIjojRqqIOFCQfIF8foDKK4AWrWI3yWhNyqIngBoTVTBjRsNQ3KjNyogSGj1EggikigiB2P4vF4kb9AE4JQ6PrcLv1HD0DT0Sh6l2UCrlcAwMJpm5LPTeTvyCy6veX1Aa5qOL1hpuOjxozfNLEBpWNtbBAm9XkbW6riVEn69iq400WplVEM2PdQbRpTdSMEYuivwJJW30ndF9FBp6kwurCCJAvlimaHuDLIkmXx5v7lQIJNOEg4GGOwxabeRUMAaQnkioGjLITkrkKzoP9CdoVytEfB5OcoWScbC1Gp1Brva0VWF0d5OQn4fHekWkvEI6zt7GBi8/2iGpqJweJKjrSXB9t4hfp/3A3ppZ7VXzXK/DeVTwzB+1jCMDsMweoAfA37PMIzX2u5p28cCqJ2OuJVKhcnJSbq6ushkXr507Vl71rmPj49ZXVjg//o9o/zr+7sIgKLqzB6V6W0J4HPJbGUrJEMegl4Xu/kamg7XepNsHJc5KpnOX65USQVliprE7nGB671JBlsjSKLAvbVjfDLU3H5EQaCpq7iFJk1BB8OgXqsh+d240FCQkSWBkuHCJ6vogkq1kkdy+5E8EggSPlmgARjW5yjXGsgBH4ohgAAufxgNkSYuVEPHFUniNho0BA9GyRJUVBW8ehMV8Bp16o06arNBKBSiUC0SEA0qtRpiU0F0u/DKCqLkolAtIAkGTUVFchs0RQ+IOqrsQ61VkT0RDJeMJMggCHgEDQUQrBpbEAQkvYGOx/kZQFW0iCPtae5MzpOIabz3aMYim3ioVOuMD3RTLJUJDHQTDQcZH+xh7zhLKhahXK3TnkoiCHB5bBBBELk43EfQ72Oox2SslUoVOttT3JuapyURZW51E5/Xw9r2PqqmsnecJV8s47YyFafPbRFsOttb2T084duuTzg68K9rmqa9NBB9o5FYPpaa247kh4eHPHr0iPHx8dd2bHiClts7uVdXV7l+/To/eH2A8UyMUkMh6HUxlokS9LqZ3c2RCvvMCSpNRxZFfC6BUk2hMxHkYkeM2e0TZvfL9LfGiPo9jFgrg2d3cjRUjd6En0qpBKJEQNRRRTd11QBvGElvAjoSGmVrQbbLY3751aaGgotAKIzoDVCpNdEqeUQMJF1BdJsOIXlN8KwhuJDQ0AUZvVFBEEQUC9SSLVzF5/ODICD5I6iCC/xRFN0AX4RQIEhN8CG5fSiuIK5wEjkYQfeEqNSbVHHj9QUwZB9yMIZgXdMG9wSLbSZILmTNjPq2qonkCeDCPIzsXrjkDTpRfL9i/s4WZLBXBHe3tVCp1vF5PQ4r7OA4S65YptFUWNnYQTcwddMUhYczi2zs7PG1B1NMLawwubDM4voWhyd5Dk5yTtS0U/3h3i5UTaM1GSdfLBPweR15p4VVa/OIRZ5pKgr93Rm+/9vfrN6GszHU3pI4IgCGYfy+YRg/+KbP/1jScsMwqNfrbG5ucuPGDcLhN2vdiaKIoig8fvyYRqPB9evXnRG7v/C9oySDXhNQNgxmd3KMtseQRJAlga1cBVXXiXolNk7KnJTq5EslOmJ+LnYlmN7JsXZYIhH0EA14GMvEmNnKsZ2tILrNdFez6lFDbQACqqIgBWJmy0tToV4yU2S1ieQNYKgKDcGNjI7gCyF6/NSkAIqm4XZJuJoltFoZH3VAQLPAr4Dr6a/FPjgUyYdg6CbgVre2XArW7yzml+QPgaEjiBJezPfrsm5IVfKYaLggEpDM59nLGUVvCMH6fG7JvJbLH3HS72bVEhdExK3VCQkN/NQRdBXNl0AUBRatWtqelbbT66GeDhRVIxmLsGax0Owa2mahha3RU7t27u/MkM0X8fu81sFgsGlrmtee1jRPWAM0Q31daLpOf1eGYMDP5dFBouEgfZ3tLK1tsLKxzcRQ75kHRZ61j6nmfmv2kUfuZrPJ/fsm8PeipfZnNU3TWFlZoaWlhdHR0afqH59b5q/88AQRnwtJFOltCVFTNJqazsphmYnOOK0RH9NHTfqSAUKSwkZepaoKCIK55WSsI8adlSNKdQW/R0ISoVGvmaQPn4+64Uarl4lZqZ5uwUYeWUTyhQj43BiqgqzV8AoqetOMwFqjYgoTWK0kvVlDFVzUFRU5GDNrTU3D75VRy1lK5QoemsgePxgGoieA3qyDIKBa0TxgpZ+VhhktVZcPQ9fAqqMBdMWMvIIF8JmHgvk7RbHRc/M1hFPXrmvmgSwJBmrxGLdSRmnU0OsVmrioqzol3U25rmKIMqLHz40rV7g41MfNiREEBFLxqKMEa5NNbDmj3o52jnMF3JZoA+DMh9vWYqmZDvV0omoane1p9o+zeNwu8zkGHB7n6M604nG7eOfyOIlomOHeTtJJU/ZYliUezi7j83opV+sMdGeQ0bh7966zTeR1aNFn2TbyNiP3h7WPtOYuFotMT08zMDDA8vLyh7rW8fEx29vbpNPpF6b0nfEAP/HZIX7x9xeQJBelmoIkiQy1hlE1gzsrx1xocaE0G8ydNPi2oTSKpnN75YihdAivS8QjSwymI3x18RAXOiIgGDqKpiKIbiRBoKhKeGnQlER0XaViiAiCQU0XEGQXhuChjouA34dg1CkpTSS3gSGaN4ZspcBIZtZhuH0IokzVEJD8bgRBpKY0EV0e/DQo1xX8oka5VMFQFbxumVK1RiDsQfH40TUFQXKh1/NI/ii6qiACNUNCAjTB5QB8htoA3W+i8KpZo1ZLRcLhEGWtic+o0xRlBF1BlVwgCjRcQeSgC1EyFzMaSh3cPkTPE1HLnOZm8dF9Lo30M7W4Siwc5CRfIBWP0FRVLo8NEgkFeOfyGJFggFQiis/roViqIIoCiqpyaWQA2VrI5/N6uDkxSjQc5N0r5i7tdCJGwO9jc2cflySxuL6Fz+thZ/8AVdVoiUc5yuYZ6usC7GUPT1qE3/fZdxkZGcEwDCqVCtlsltnZWTRNIxaLEY/HiUQiLwTNXgWo1Wq1Dz3a/DbtI3PunZ0dNjc3HRrp2traK2uW55ndMjs6OqKvr++lZBiAaz0Jau8O8I+/ukRD1WjWNRJBL3u5ChPtfo6KZiQeaI3QUHVWDgpc60lgYPDVpUOudCUoVOpgQENpInr8eASVSkNFkEW8Hg8NoFJXkLxBPFqVakMh5LfIIjRpSl50pU5N9iChIQfjCFqTar0G1HAHQui6iuQNIGoNdMmNpNbRJC9is4ThCVoUT/Pml0JxJKGJ7HKB1qQpupBDfjTDjJwBVKqGjqEqoDVAFHEZphAF9SK66EJU6ghuL7LbC6KEFIhhKHWakhekMlXRB16o4QURxEYRXXIRDAapA6LLg1tv0MSNz2v+DUS3D71eQfQGOG6at5KdKg90Zbg7NY/H7eLBzCKiKOD3eihXa4z19zC7vM6ty6M8mFngxsVRHs8tM9jTweO5JYJ+H7VGA03TSCfjHBxnuTDUx/TiKrcujbG2tcs7l8cBM7I/nl+mryvD6uYO0XCQxbUtJFFkYW0TMNjaP8DrcfPdn74BPJEitjeKqKpKLpdzRot9Ph+JRIJ4PP4UgPaq+9cwjJc6/8dtH8k7WV5e5vj4mBs3bjjo4ZuMfWqaxuTkJLVajevXr+P1es90jW8bTvGT3zlCZzxAeyyASxKQDIWDkopLkgj7PAQ9MpJoitmJokBD0elOBsmWaywclJAxNbUFDBqqhuQN4Jeg2mjgETQkjx9D16nrIpI/TLneMFNetWmSRBSzF61UyyCIBN0iUiBqfi5DRK3kCQoNmpUChtrELVqUTgvmFcSn+9NlTTJ70VY7TRAEmhUzjTZ0HQQRbzgKkgc5EEPTDUSPH7ckmNeQXBiIGG4/kg3QiVZv2ybGuH3Impmm2lJFddwmngBIhvmvInkdJpvWqCDWi9SaCiA46i22TFKbxQ4b7u2iXK0RCvieOJ3FFbeXBCSsgZMhi0nW09HOwXEWn9djpeJP1FZKVRMIdFnv0+6RD3R3YhgGV8aGGBvo5ttvXcHndhP0+V7Y35ZlmZaWFoaHh7lx44YTROwdYcvLy+RyOVRVfaFzG1Zp841kH4lzd3V1MTEx8RSN9FUU1GetVqtx584dEokEY2NjiKL4wo0fz7OrPQl+8rtGkASdo5McyUiA7lSEsEei3FCQRIG9Qo2h1jC1hsZuroquaqwfFXCJmBLJyPglA003U3NDkpA8AWq1On5JR9LqCC4vLlRETxDJ7UWVfOiaiiyDx2iAJQxQsPaIBwIm4o3soWy48fhDCLKbSk1BreTwemS0WgnJ60c0dESPD5fRRBAls88NeC3Ay17gXdNN4QpVcDmMNLcFphmCdTN6gxiaaqLwFVO8wLC+fsEbdEgz9ar5Gg3D+p0golvgXalaR6vk0asFlMI+kqEQCAbQvSHkSIoLly6bqasgOLW0rUJjz3zbMk6dbSmzLpYkZ4jkxCK12A7UajnscF83iqrS09HG/lGWgM/LwsomAlCu1BjsasfrcXPj0iherxuvx4UsS9ydnKPRaLK8sc13fOqas/L3ZWaPf57eERaNRjk8PKRYLDI7O8vOzs5Tmz9t+7AOLghCpyAI/9naDTYjCMJPv/HF+IjSco/H84EI+zqR++TkhPn5ecbHx4lGo290DYCkS+F7WjX+fTOMjki1obJTUhhqj9FUDVJhL+snFeoNFUPX2Mo3kCQXjWaTaMBLsdakrBmILg8umtSa4JUlml4fFdW88b0olCtlJH+EoGxQ0WV0pYrgDVNv1nB5ffioUTRAV5vUJbPlheVQmuxFRkUNhBGbNSr4gAIIEo3SCYFAEBcqtVqZkFui0qhS1w0kF0j+MCI6uuxGrxWRfGF0pW623uoKUsCMsoKhYQgSei1vklEM063rggt0zaKplpGCcYLBAIpao1mvo6t5vF4vjWYdl09B8kcRBQNDkBC1YzRBRhUEREPHEEQqUpBsvsjE6ADH2TydrQkCfg/vXBrFJUumdHEgwNhAN6lEDEmUaElE2N0/pjWZoNZo0tHaQqPRZKSvC49L5tqFYeKRMO9eNuvueDRMOOhnbmmdcCjI3Mo6kaCfpc0dJFE095A1mmxYM+F5a/79+z/7Zi0wSZJIJpMkk0kKhQIDAwNks1nm5+dRFMURdXjRUo3XNBX4i4ZhPBAEIQTcFwThtw3DeG1ZY/iInPusFNRnzTAMNjY2ODg4eKrNZdtZnft0nf5D3/UpvlcT+Ml/+FUOijVcksBxqcFJqYkhGDQVjYai0tQMJARE0cBwuSnUVbyyhKrrSKKOqrsQJZAEFckACQ1V9lLXmrgCEQylSUVtYLgg5PNQtZxZcPvQdAHJG8JnVCnXaqiagjcUR1MbGLIbrV4Fb9gky4A5LioICJJMQ/JSq1eQAzHqhoZgCIiCYEZxQcQnayi6QNgnky2eoKtNxHoeVVPwG1WK5RoyOi6Pl6DfhaZXKWoqPq1CqVpHMDST2aZqSLpOzfAgSTpS0EuIOhW8uEUPuiAjCOBSKzTlAB5/EBWzfFAreaRAlLxmfl+CobNzcEzrhWHuTZnSR9v7h4iiQNDvp1iuYBg66zu7tCZj7BwccfPSKHcezzLc18XkwjLRcJCFVXPxYiwSJFcoMdzXxcLqJtcvjHBwnHU017raUkwtrTE22Mvk/DK9ne2sbe0Si4RYWN0knYzxuXdeW9P/A/Y8UYd8Ps/e3h4//uM/TqVS4e/9vb/HD/zAD9DT0/Pa1zcMYw/Ys/67JAjCHJDhDTTL4WOUNn5VWq5pGlNTUw4l9XkSsWdJy+3rVKtVrl+/jtvtJuRz8U9/8tv57FAr5YbGTr5OVVEpVJsIVgoecIsEfTKqLqBrGhGfTEMHUZRAN6/rk6Gmyyi6gKoZBGQdTWliYJJj8IUxNBVF05HVGpLVyqpaH9sQXEj+CC5vAMUwNdBDooKiNDE0lSbWoEsgDIaB5AuZqbk3AEodQ5DwCYqJWFu99HJDRXUHqRoyciiBO9pqZgPhJIqqI4cS+AIBFFeQsu6iKvhwRVIguZBDCQKBAKIvhByMmgqmoohLN0sIzf5Tu72IlnqMrdqiip4nVFRdBV0120qy21mHZNPEOttMxdLR/h6K5QqRUMCsu40nO7/qVkvKXjM0aNXOI/3d5Aol4tEwC6umzJNNULH3hjWt+8rrceP3eenJtPHO5XGuXxihtSXO5bFhAv63j2JLkkQikWB8fJzf+I3foLu7G13X+eVf/uUPfW1BEHqAK8DtVzz0hfaxOveLom6tVuPu3bvEYjHGx8dfiDi+KnLX63Xu3btHNBr9wHUEQeCv/fFr/NiVBH6XgFs2J8V03ZRErqk6hZqKYeiE/B6KdZ2QW0JTFZpIeN2y2T4ydIIuEVxeSjUFr9eHW687/eawz4UiemkoKoIo4tUqoGu4jAZ1XMiGOeNtKA3wRSgrBnIoiVuEZkNBLR7iQUWt5BEEEclyKr/FmKxaQFLAIkuInhCGrqMKbrPeFgSwOOS6re2G21zEJ3uc+rlcNv/VrHacILvQrZq+apFE6oLZtwdo1sxavqwKZu2uVPGqVQJGDZ/XB5iAYbp7kGyhhEuWmFteB3CkoWx9s6HeLnTdoL87w8FJDp/Xw/yKWXdv7ZkMM8Vy2GjY1kM3JYjH+nsoVir0dLThcctcHh3E5/FwZWyIk1yBarXG5s4e7z+c5uA4y97hCT/0XZ954T3ztqxcLpNMJvmpn/op/vJf/ssf6lqCIASBLwD/rWEYxVc9/kX2saXlL3LMbDbL3NwcY2NjxKzF6i+ylzl3oVBgenqakZGRl06Y/eBYim8b6+b/8R8WOCzUUHQDQQABAZcEPpebWlPF5zaBN0N0EXQLVOqqKQioKSDKuAwDBQMFCa+kIwoyRr1M1e1BEAwk2YMhSFRUk2JqNMtoSs2sWb0RAi4zBVfrVaSAG1lXkLwBJFGjJnhAqIIA9UadoCyhNptoSh2/z0ddVahLbiRNQZdduLUKTfwYah0IoBsCEqBKXrMeFmWMagHBF3ac1R4dVZDRakUknykA2cCs5bFaa1olj88foKkp+IwaZU3HJepobj/1SpMmPpBBVKvosg9CLYQDPno7UiiKTjgUQBQE3rk8jizLXB0fIuz3MT7YSzqZQJYk0pbwYdDvod5USETDuGWZ6xdHcEkSty6N4fV6GB/sJRYN4fW4SbfEef/hNJdGBng8t8zoQA8rG9u0p5OsbO4QDgaYWVrFJct872dvvfS+Oou9apPI2+KVC4LgwnTsf2YYxq98mGt9LIMjYNbcp9Nye33v/v4+165dO9Nk2IvSclua6cqVK68ENgRBYCQd4d/99HfzU//kPR5tngBmJFc0jZpqDuQ3VR2PW0bXDSpNDVGUUFSFkM9NRTHQmg3cLglJ0Kg2DUSXTCTop9AU0CoFwuEQiqpgeALIaKiyD5cL02k0hXKjhtejI7o96EBFBdENgjsAGI5wguSP0cBA93jxups0cKHXC8i+II1SFtHlAcnAJ4Ac9JErnYAAQr2AphkEfS6KNRWvoCMaDdweF6jV/397bx5mZ1nf/7+e/ayzL1kmy2TfV5CAgggKyJYAIiCuqPVrq+gXsdblstqqtGqt9tdW7e8CS/vT2iZhEYIU3BUQSEgmeybLJJlJZubMPmd9tvv+/fHMOU5CMplJZknCeV9XrouQM89zz3me931/1veHjGsTMyT96Ry69PA9h5TwiURUcr4gbGnYRoiS0hIyhDBKI+SEhxYysESaDKBGAjdE0XScbBo9HiajxejP2piGRcPevSyZO4Od+48wfXI1R48nCIcshBDYjksmk6WppZV4JMzeg0e4YtUSNu/Yx6rF83ll+25m1k3mcPNx4tEwWdvB9Xwqy0vI2U5BV00MlN3mG0RmTJ3E8fZO5s+eQVd3H1esXloobT0XCCHGXBxRCW7wMLBHSvmdc7oYE2SW+77Pzp07SSaT59TyKaVk3759tLe3DzkGeDDyG0TY0nn4o1fygSvnYBk6YVMnYhqYWiCqZ+kqAgXXl4QNDR8oi4ZI2x74LpZp4qFjux5RSyei+vQ5oCkQisbI+Bq5nE2J7uNlUqBqGNJFKDq69NCi5eQ8ga+HiZJFFTYy04PrC/xsCkUzsKSDoqqFRg4G0lXxSGAVqFYYLVqKrUfIyBBJIljRGHqsIhgoEC0j63ho4RKkFSWHiWOW4EoFPVYBiooer8SIl6PFKjFKaoKcvhVFDqiZZDGRItCiMwP1N1xlwEdQVEQ2IJmiW0GdeboPo6SKfQONIgyk4morg7TW9ElV2I7LlOpKmlpaMQ29YL7nS1DVgTFMkwcaRBbMqccdkFbq6umjpqqcxqajWGa+N1ySzdlcsnQBlmGyaM5MHNvh0NGWUZsFNpymkVHq5X4fQQ/3toE/N57txcbdLM/lcmzbto0pU6Ywbdq0EU9YzCMvfVxSUsKKFSuGfZ18Z1ke91+3hMtn1/D5/9lMW18GlIDcuqqSybnELB1XCGKWRn/WRVVVNEVBSoWYASlpYAsFU1VRpAeei2+EMfGwQ1FSnkAJRdGki+85iEJ2GZQB0vSlHfRoGSWqS7+nI1wXXe0nlcsRLVEKNexyoGw1I3QkPlq4BEO6uLqJaqcQZgw7nQwIqxtIQBjRwCdXjUK6zM2l0Y0wyZxACwdqK7pvB0EyJ4caimELbaDJRENku9Gi5WRyDlo0iquYiFw/KhAywCSHEwqBAjJWTk39Io5v/TXlJTF2HzgMUhZGCeUJMKmmguMdncyYXMP+I8eZXF3BwaPHMA09+Bng+MAARNtxiUbC1FZVYBg6tVUVpNIZwpbJngOHiUWradjTyJSaao63d1AWj5HMZAhZ5jl1gQ3GcAYSnKtZLqX8A3/SuThnjKtZnk6n2bJly7D866GQTqdpaGhg1qxZTJo0aUQ/e7JpL6Vk5YwKNnziah74r1fZ2dKLIwS25xML6bheQK2ULdA1FUMFV4CuK6RsD8vQUKVPxg+EFzQ9jOP6ZJxsULqZzYEZxVQ8MmYJqpNBNQycdA9mKAyIwAQXPv1CQUFilpQjfB89HsWREqEZWF4GIQRupodYNEIqk8GIlODYGZRoOWFLJy1BtwaaWswomvQRmk5U5shgoQxUmilGEDnWwjEUL4vUQ+TSSfS4RShWEggkWmFUN43rg3ByGGov3kAKLe0phFSJY5Tg+i6OUFFUFS3XB6FS0moUFIXF8+ppaU0wdVI1mUyOaZMDwcA1KxYTsgwuX7mYWCRCaUkcS9coL4kMlJ66xGJROrt7mTV9KgePNpPOZNnVeDCoHa+fTmPTURbOnk5rRxeXTV0MNDN9Si3H2zuYN2s6rzTs5p1Xv6kwA+1ccaF1hME4meVSSjo6Oujq6mL16tXnRGzP89i2bRtLliwZMbHhRHJLKfF9HyklsbDJ//vht3DfVbOJmjphQ0dRFGwvIHXYULAMjZwfjC3K2h7xcDAHOusrhDSFsDaQVrNU9HAsEFjUdGKaT3IgAh02dTyMoPJLC+GkeohoPnHVBSHws0kkQXGMomp4mWQQNVfBM6JEImFsPRY0cegWQjORrk0q62H6aWKWitubQLX7cfo68JKdKL6Nl+wiEjIIiQwRHbRsD16yk6ji4vV3Bjn9VBe5bAbsPoTnENIVVCtCqLwGESpFL6kmY9uoVjhQRgXQDEQ2qHizB/ZMoWho8Wq6e5IcbmlD+IKtuxvxfZ8/bttFa0cHv/nja7y2cx8vbNnO5h17Od7Zze6DR3E8yfZ9h0j2J2lsOko0bJJKZ1k8tz6Y8T2pmsamo4QHBieoqsL+w0FaLZXOsGLRPKKRMEvmzeKOG96G53m4rovv+2fd6glnbho53wYSwDic3EKIwlzuysrKYfvXJyNf4GLbNlddddVZj0rNK6hKKQsBvsEP7aNvW8hVC6bwuf9+lWM9GcKGiuv7gELOFUQsDeELDMMgZXuoqk5IAwVJ2tfQVB8EqFISMlRyUidj59BCUQw3Qw6QCpiRGL6UqGYk8GudDIoRIhYRJNNBHbMV1zGiURwg7SoohsQ3gpp2LVKKKjwIRTH8HG4oRi7dgxONYIWsgIxKEqwYKd9Di0BO0/EzvWiRUqSdQ49XYksHPR4PClIGpJbd/k70klLSrkBqA5rqmR60aDmqqiMJIvG67+CpA/LHUgbfhZ8ilc4Sq5nG7sZXAQqzsd2BeMnUmmqOtLSxZN5stuzcy8y6YLRQJBwaMMklXf1Ba2p+SKMYsDpqK8tJJlMsmD0DFI2SeIRERxfTJtXQsGc/U2qq2LZ7H5Vlpbz9ysswdB0hROGP53mBooymjajJ40w+dyaToaKiYtjXGw+Mqc+dy+VoaGhg0qRJVFVV0djYeFbXE0Kwa9eAbE8kck4zkBVFwff9wkM+la8+f3Ipj91/Df/333/Li4d7URQDBTC0YASRKwAkhqbiS/ClCET+fJeQpZPxQHg5hKIQDUnSngoo6KaJK3REphcjEsbNptAjcTRh45oRcLJkjTDhqIqLgWtnUDQDUyRRdRXhJXGkjnBttGg5TqoHPV6BoUhcwLICWURfs1CkRFoxLHwcTR/o8iopNIFIPdBTdxUTmUujWFHipkKawCQHwAhBph/CQS4dQJgxDOli57Lo0sVzA2EIhItqRdDJocerUBCsXraISMigs7uXitIYPX2B/ll3Xz9l8Ri6plJRGmfa5Bps12HWtKl0dPVSWR7Dtj1m1E1CkXD5yiXYjsP0KbW0tnfQn8rQ2d3LoeZWVi6ex/a9B1izaikAM+qmcDzRye3vvIbQwHsyeNaXEALf9wt/gMJkkqHIPh4+92hjzMzy3t5etmzZwty5c5kxYwaGYYyocSQP27Z59dVXKSkpKRSmnK15JaXENE2OHTvGsWPHTtuon4/m/8VbpvL/vPdyqkssFAWEDGquQqYajLFVFIQvCJk6ticpiYTIeUHZaSgUAt0kmbFB0ygzBWnHR/ouVqSUnDQCk3ZA0SWMXShUyQ0UqkSMoD8867jk1Ai6YYIZwbRM8HJIICwy9CdTKNk+dF1HcVJoWqDGqihKQUElP9HDiJUjxUBDykAlWv6+aU9BiiDtFyNHWOQoDav4yU50FbxUT1B842TRQnGUUAy9pAotVo430HDSnwuesY9KQ0svds5hz/7DlJXGOdLSRlV5OXsPHkYi2LJzH129fTQ2HeF4Wwd9yRT7Dh1G+LBlxx4Qkhe3bMd2XF7buS+YW97RTW11BYeaW4mELHY1BoMPd+07SDwaRlHgilVLec/a61/3XFVVRdd1LMvCNE0MwygEWH3fx3VdPM875fs1HJ/7fBJqgDE6ufM57MEDAc+m5fNUhSn5hzHSvlkpJUIIKioqWLZsGZ2dnezatQvf96mqqqK6uppYLFYYPzx58mTq6oKqqCfur+ZLG1/jd3tbsT0fiYIvJVJCJGRge0E0Pef6CCmJh0NkXB9cm1AohJCS7kxefMEllUsHSiehGKqXwzdjuNLDw0CXDuFImGS6h7Smo4cEerQMKXzSmCAcfC2CJl2IV2A7GfSSaiyRIYuJbyfRzBiRkIktfHwUFDtDFoHndhOORHBS/VjxUlTh4ng+tqrg+zk0wwo60sIl9PV3osWryAoVNRoCVSXmZ8mpIRRvQNpJMQcKYEoKAxPUUAzNy+J4HlZpDTsb9wDQ3RNsMqXxIF25cHY9L23dyZJ5s9nZeJCaynJ27juIoevs3n8IgLaB8tI82SrLSjl6vJ3Z0+sImSZzZtSRyeWIhELs2Lef0miUFzc3MG9mHaURa0jxhPz7o2kahmEUCJ6Pw+T/W9O0grV3JrP8DeFzK4rC8uXLT6jqGemJ29raSlNT0+sKU/I+8+mmkpwKgwNnedN++vTpTJ8+Hdd16ezspKmpiWQyieu6zJw5kylTphR+3jA0/v7uS/njgXb+9olttPVl0FUFfUCAP+v4GKqKIyTxkE7adoN0mWnhCAUTj7Ch4wuXDDpmSMPzXFTPRngOpmEgHAeMCNLzyOoRLMPBN2M4yS4UzaAiopPzFWw7A5HygZRXRdAVBri+BBWsaBxXSnKKFfRtR8oI45DFRHW7cFULX9WxMZEoKIaKUFQiIkdOUQutn0oo0GJDNRCpLrRYBalsFj0axtHCwWxy1SRiqAhhE46E0Mji+GDqEl+LgRkl3bKHmXWT2X+4Gcs02NkYELezJwjCRcKB6Tx7Rh2Jzm5WLJlP8/EEc+vr8DyfNSsWk06nuWTxPDwhmFpbxZGW4xxr7yBkGuw7dITli+aR6Oxh+pRAxum+u9YFI4f37MF1XSoqKqiqqhpSZSXfUgwURDgHB+Ecxym8w6e6xhvKLD/Zlx1uHlpKSWNjI62trbzpTW96XWHKSC2AfOAsr5Jx8joMw2Dy5MlMmTIFVVWZM2cO2WyWl19+mR07dtDW1lZwJ9bMqeXpz1zHuy6tJ2LpCCnwfEFpxETXNCxdJesINFUDRcHUVeKmgiN1PKmiqgaqcPDsLGgmlqHBAIl8VSeCjYJECh9fNQGJFYmjheP02JBTLMxoCQoCTTdQsn3kcllCIosvJKZ0gp7ubB+KquGkAgI59sAElIHRQFq0FOnaKLqB6QUugD9QlqpHy1CkQDUsQjIw28OhUKAMo2qIZCd+shPDy+Bnk7iahSM1skqY3v4UjhYi6akDAhIKWkUdk2sqKYlFuWTpAkqiEVYtnk/WDjTNjrd1UFEap629M8hOOC5tnZ0YmkHD7v2k0yl2NB5C1TS27W6koryUY+0dzJo2lX2HjjCpupLte/YzuaYaKSVXr1nNu2+9nunTp7Nq1SpWr15NaWkpra2tvPzyy2zfvp3jx4/jOM5p3xlVVdE0DdM0CYVCOI5DW1sbZWVlBfP95Aj8aCufjgbGLc89HOSHFcRiMVauXHlOE0PzZni+bHCozaW5uZn29vYTBByllCSTSRKJBEeOHMEwDKqrq6murubzt67grstm8uWNWznQ3ofjCbKORyxk4Kk+jucjBGiGRjLnEjVVNAX6bB9d1VBME+FmSfk+4UgUfBkorEgbT48SllmkppDq70KzwkQtyFgRdCeNY0Tws31okVJCMosMl+Lk+sAqRRNppGIQMjRU6SBUhZCfJWU7KHYHnmHg5DKUl5ejqC6e75LOpBFKFiNk4fYliITDZJL9QSrPc1DCGo4WxlB9fDOC5SaxjRgZO4sashCKgp/uQo9XFurVFd1Cs5N4WgijpIqd+xroT6Xp6unjeKKT6VMm0dKaYM2KJfxx646CaT65upLte/cTtix27DsASDoGzPnUQBwiZJnUT5vC7JlTqa2uIBqyEMJnZt0kXtyynT97z+3Eo386EHRdp6amhpqaYJxwKpWis7OThoYGACorK6mqqiIej5/yHUmn0+zatYtly5YRi8VOeap7nkd3d/cbwyw/G2QyGbZt20Z9fT2TJ08+7eeGY94Pl9hCCBobG/E8j1WrVr2ui6ykpISSkpLCad7R0XGCn/79913Cs7sS/Ntv99GXVvCFJOP6hA0NXUpStkfM0lGAftsnYijoqk5/1g0CjEY4yCurGiWmQ9qTSDw8zcSTCuF4Ka5ikMwmURSHsKXi+BlcNYjQp2wPLTQwTURKspggfFw9FowoilYANnpJFWGRIauG0YVPWoYQnkQ1LbTSKCHp4igGIV/gGjGUkIcSDppHFD8YXmj396CXVAc+uJSoVpiwzJHFIhaP4kiBaRmYIk3W8QIRRzTU0lrSx8PMrIuz5+BhwpbJzsaDICWJrqDc1BoYhzRrxlQUBebMrKO1rYOa6jkIIVk4eyYd3T0snD2TbTv3YVkm7R1deJ5HJByiP5UiX9j14bvXnfa9UBSFeDxOPB6nvr4ex3Ho6uriyJEjpFIpSktLqaqqoqKiolB0tX37dpYuXVog7mBfPf8Ovfjiixw8ePC80k+DMST36Qh1KimavPLKkiVLCqNRT4czndzDJbbneezYsYPS0lLmz59/RrchHA6f0k+vk2m+c/MMfrytmxcO9qBrCkJCJueiqwooCsmcR3lYJ+d69NuCWMjA9SQil8OyQngo9NtZVDNMieqTtR08O4caKQlECcNxLGmTxES4KdRQKZbM4WoafrKTHApl0RBZoWCpkgzBnC/VDJNKpdFjViCbJCVqpBzpBoUoMtODEilDE24QuTcCbTQ9UhYIPSomEcUjg4URLUF4Lgogkp2BClvIwLczeNEYnp1BhKJk+oPy19TA2CPFihKdOpdpsTS5nM38WdM5cKSFRXPqOdx8jFnTJrPv4BFMXWPP/kNBQ4gUHE90EY1G2LZrH5etXMLOfQe5YvUyXM/jkmWLeOm17Vy6fBHH2xIsXzQf23G44eormD3QGjocmKbJ5MmTmTx5MkII+vr6Cs9VVVUymQyLFi0a8kR+7bXX+Mu//Ev++Mc/nvXI3rHCuJ7c+Uh3ftcb3Bl2KuWVU2HwGN+TcXLg7HSEzWazbN++nRkzZpxVlVveT8+/FD09PXxglcoV1T4/3pnkUI9LJKSBVLA9H1MDV0qyrqAsHMyZdnxBJBwi50uEkyUWDuELn6SvIBWDcNTClRI3ZxOyBFIG4nyhkEEOyGZyaNFSIrpKDotkLokSiuFKBykFZqwEQ9r4qkbET9OfyaIKH1U38J0c5eXlCEvHdVOkMhkkKSLhEKn+bkpLS+jr7cUMRUkJH81UwLAIC5ucHkTqhVVCRkoUEWiwC6cXNRRFi5WjSR9f0QgpPtlsElU12LznENlUP5Zpcqytg0lVlSS6epgzo45DR49z6fJFvNqwi5lTazl8rJ2ptdU07G6kJBZj+5791FZVBAG2lUvRNJUFs2fS3dtPS1tiYHDBUb70yQ+P+Fnmoaoq5eXllJeXk8lk2Lp1K1OnTqWlpYWDBw9SXl5OVVUV5eXlhRN627ZtfPKTn+Sxxx5jxowZZ33vsYJyhj7VoZtYh4Dnea8j4ebNm1m6dCmWZRUq16SUQwo0nIwDBw4Qj8epra09caGnqTg7GX19fezevZtFixad0UoYKfJ++i9eO8gPX2gikQwEGyD4IqWUIAUZRxDSg5yy6w0UgSDxhYepamjSxfYVPNdGDcUwRQ5bsdD8HL6iEVM9BAr9qTSqGcHSVVzFxJLB5/xU0OjhJQNfOCIyZNQwlshhKyHwHKSqoqgaurBxVYuozJAmHBS7WHGk76EpCkLRMJx+XDOOnw6q1KSUGDIYcBj202S1KKpw0aWLikAnUIUVmhGouag6Wl8zs4wkR461UhKL4bgOqqJQUVaCPdDD3dnVzeTaGnKOQywSprW9g8qKMl54tYHVSxfyx607uGTZIjZv382KRfPYtruRxfNmc+hIM1dffgn/+b2vnfMzzGQybN++ncWLFxcCZL7v09PTQ2dnJz09PWzdupVEIsFTTz3Fk08+ybx58871tmMimzquTkLepLZtm82bNxOLxViyZMmIfJVTmeWDK86GulZbWxt79+5lxYoVo05s+JOffvvVK/nfL97O525ZRmXU/FM11IBFYWqBxJIrAE1HVRUUBBHTQEpBVprouoYaCmOIHJmsjYGPrmmgGmRdSQaLWDSKaoTIpVOBpprnoGR7KYuGMLygw02THmkZiEzYaigoXNFNlAFFllw6KPPMK6gKMw5OBkXTCRFEyxXDQvouoXAUr78DNddHrrcDt78D2/Pxs/0INNKpJFk1Qp+vBzlwdPxUMCPbi00i6/p0dvdQW1VGS2t7UCq6ax8qkj+8uo1kJstv/riFPfsP8ftXttLYdITte/bj+X5BoSXnOCycU09VeRmXrVhCJGxhuy4ffc9t5/z88hbdokWLToh850USFyxYwJo1a6ivr+cXv/gFpaWlfOADH+DQoUPnfO+xwLj63Jqm0dfXx6FDh5g/fz5VVVUjvu7gls3h+tdSSpqamujr62P16tUjypGfC+5+8wLuumI+//67vfzXiwdp70sH2oeAREHVtEBG2RVomgEDyi4xE2zbQ1F1NM1Ai4ZQ/Cw5oRHRsmiWTn+qDzsUQ7oZtFgFYcUlK3V8t48kYXy7Fz1WjiUz+GoIy8+QzTlI6eCJLNJ1ibgprEgYXWZI5mx8O4MRjmJnU8Q1lf6MgxFSsFUDxU7hhkuIRSNBtZwVR0PgKxp6pgepBCKQSIFqhAh5SdJZSdgySfe1Y0ViHOhXKI1H2ba7EUVRODqgUJodaKqZOqmG1kQnSxfMJdHZTd3kWtLZLPFImOPtHUyfUsNLr+1gyfw5/OKFl1k0bxa7Gw9xxSXLufJN5yaAmM1maWhoYOHChUPOstu/fz9f/epX+fGPf8zSpUvp6+sbLeXTUceYmeX503QwNm/eTDabZdWqVWed8G9pacH3faZPnz7siPju3bvRdZ158+ZNWERTCME3H3uBZ3e2028LJIFZ7rgCQ1dRlWAyaNTSEL5PxoOIDlnXw1AEQirBcCMp8KSCLlx8zQxaSFWws8FpWx4LkfR0fCeLYgYzxlTTDEiHgq+oiFwKNRTD6+9Ej1ei5frwQ6VYONgy2PhU30FoFpaXxNZjWCIbmPQyiBGoVgTd7sXVo8HGkskRDVu4dhasCL4EoehIRSXkpchpURThMdc9iO84VJSX0NXTB1KQzjmErRBHj7fhDzxT23YoL4vT0dXDtMm1HD3expyZ0zhwuJnLVi7FdV1K4zE6unv59pf+L5ecZuDAcJDXGFi4cOGQFl1TUxP33HMPjz76KCtXrjzr+50CF65ZLqVk//79pNNp5s6de06VPHmzPJ9nHIrYjuPw2muvUVJSwoIFCyaU2Hv37mXt4ip+9eXb+dQ7lzK1PIyua4QsA01TybiCqBmk+TIexC0VJKiKglQNXDQ0vECZ1Qg2BC/TjzCj6LqOFq8ibFn0+RZuNoVqRQiLNGEd1GwPXqqHiMjgJ7tQnQyWyFISCxPCwREK5JLkbBe3L4EhHez+Lkw/g+/5hEUGXZGE3T6iShaZ7cPwszhCA+mTVUJ4nkNaCZFTQ7gY+KpFSAYnskMw4FBm+9jTLWnYs5/texrZtruRVDpH46GjWJZJT18/S+bNIpXOcMmyBURDId62ZjVTJ9Xw9ivXoGsal61YwstbdwAKv35pM3Prp48KsRcsWDAksY8ePcp73vMeHn744dEm9phhzE5uIUShEH/Hjh1EIhFUVaWkpOR1wbCRoL29ndbWVubOnXvGQeg7duxgzpw5Z2X+jxbyI5HKysqYOXPmCRvRM1ubePR3+znSmcT1faQA2/UwtWBDzDg+pq4GQSnhoms6CoKsryA9F03XMRRBNpPC1INNTzfDqArkpIZ0bDTTRPhBpF1IJRgEaITw00Hrp0h1ocYqicosaUIY0sFFQ0pQhYPUQ0T8NBk1guamg5ZTKdA8B6GHiJIlRQhN+iAFGgLTz+GhoijgShVPCwXFL3oMpGABLSS7E1RVlJPO5lCkIJ3NYeg6/eksjuuSzdlkczlK4jF6evupriwn0dnN7Jl1mIZBZXk5juPy/a//FVMnn937NJjYg4dfnIxjx45x55138q//+q9cccUVZ3WvM+DCO7kzmQyvvvoqtbW1zJ8/H8MwRtw8Mhi+71NaWkosFmPHjh1s3ryZo0ePks1mT/hcV1cXO3bsYMmSJRNKbNu2ee2115g0aRL19fWvszBuXFnPf3/qOn70sbexZk4tEUsjZAWmrKoOnOqqgue5gRaZAllfQZU+JSEDUxFk0hnUUAmWaSGtElTpkZM6MtNLLKQRERlUN4OS6cFL9xHGRfECE1pBoIZiKNInRQiRS+EqJl6yK9Avl0EQ0FZNNN9G1XTc3jYi0ibb34lu99HX14/f34Hvutj9XTiKQZIQrmqSVSOF+WK2FsZPdSPSPezpgd0HjtDS1sGWHXtwhWTPwaAK8HDLcSpKApHIVUsWMGPqZN52+SXUVFbwlktX0njoKCWxGL/94xZufvuVZ01s27bZtm0b8+fPH5LYbW1t3HXXXXzve98bK2KPGcbs5O7v72fz5s0nFKY0NzcjpWT69OkjutbpAme5XI6Ojg46OjrwPI+qqiqEEHR3d7N8+fJz6vs+V+Qth7lz5w4ptTwYmZzDD57fxfM7jtKddnA8Pzgl1aAApT/noeIT0RSyvsR1HFQzREwVpGyHsA6O52MaBq5UcRwbRTfRpYenGFiKh40RpLQiZXjJTvRYBZrTjzBihBSXnFCRwkd4PopuYggbz4gEKS81iuLlEKoOqkZYZskSIopNGguQ6MJGogS15wI0Q8dzXDwzjuZm8PQwKAr1Wjdhu5tYJEw6myVsWbR3dmOZJrv3N1FZXkpHVzel8Sj9yTSV5WVUVpRSXlpKznGYXFPNvz30hRFPjYWA2Fu3bmX+/PlDqgIlEgnuuOMOvvnNb3LttdeO+D4jwJic3GMaUEun0ycQLD/svL6+ftjXyRM7L3MzlH+9c+dOUqkUhmFQWVlJTU0NpaWl4z59sbe3lz179rBkyZKzbiZ45UAbD/9qN7uPdQea6Uow7sjxvGDugOvhSpWI6pFxPMKGgS8kHiq6IrA9ULwcpqmh+C6eJ5DCw/YlJdEQrgi+S4mCIxVM4eJqIfyBDjA124sIlQb5bDQkEnJpdMMi09dFvKyMZF8P4VAY23FBeGiREjw7ix4pA0UhJHPklBC6n8OVKqrv4KR70a0wUlHxj2ylxFLp6O4ZqDdvZ/WyRWQyOaorK8jaOUDhcPNxwmGLltYEk2oqiIUj/PNXP8Oi+XNHTG7Hcdi6dStz584dUjmls7OTO+64g7/927/lhhtuOKtnOAJcWOSWUr6u8yY/KXHOnDnDvsZwKs7yI4RisRizZ89GCEFXVxcdHR309/dTVlZGdXU1FRUVYx5USyQSNDU1sXz58rOWlBoMz/f5/363l2e2HeZoRwqJxBeSdM7F1EBVwPMDhRhfKuh45ByPqKGCAq4TqJrqwsHVI8Q1l6RvQKYHwmUDhSllqH4OqeioCuC7+IqOn+5DjZRieikcswRT2thCCzTd/By+HiYiM2QIoxM8JxQIeRmEOjByGHAVHbwcrh6kykKqhytUSlSHePII1eUlbNu9j0VzZvHia9u5fNUyXnptB1ddtor+dIaq8lJ6+lOYpsHWXY088nefZ0ZtBd3d3ViWRXV1NVVVVWf8vvPEnjNnzpDWVE9PD7fffjtf+tKXuOWWW875GQ4DFz6584RbsGDBsH5+OMTO5XJs376durq6E3qw8xBC0NvbSyKRoKenh1gsRk1NDZWVlaOe725ubiaRSLBs2TIMwxjVawP0prL8x+/38MLeVlo6k2RcD0UGm5uiBvPLXMclamk4no/vebiqGQTJFIO45pG2PZxsmpJ4HNexMS0LTfpkXYGlBiOVDEUEAoieSygcRgiBoUo8AXg5FNUgm00TCYfpT2eJhQ3SroKGh7RKAInuZvGNCLqfwfYgaqr093RTUlpGKpvDDEXwFZ2ozDDZb6ckGsb1fMIhi6aWNipKS3htz37etGwhtuNRWV5GfzrDpz94J+948yWF7ySTydDR0UFnZye+71NZWUl1dfXruryGS+y+vj7uuOMOHnzwQW6//fZRf4anwYVFbuB1Mka9vb0cO3aMxYsXD/lzw0lzQeDX79q1iwULFgxLUXVwG2dXVxemaVJTU0N1dXWh1fNsIKXkwIED5HK5EZXSnguyjsdPf7+H3+w+xuFEbzAsAYHrCXzPxzQ0sp7Ad90gOKf6ZF0P3xeETRMJ+DKojLOlShiPHEaQz1ZDRGSONBaGl8FVQ+A7CCFRzRB+sjuQVkp1Y0RLwbPRpI+mqUjPRjctXNdF11Qy0iSquKSFgaJIyPaj6TqubaNrOp4RRvcyTFF6iFkGoVAI0zBo7eymNB4j0d3LjLrJKIrKX9xzK29ZffohA67r0tXVRWdnJ8lkktLS0oLCzo4dO5g1a9aQAdZkMsm73vUuPvGJT3DXXXeN/kM7PS58cieTSZqamli2bNmpbzaCHuxEIsGhQ4dYtmzZWVcIpdPpQkBOURSqq6upqak5rTTPqZAXbwyFQsyZM2fc/fs8Xj3QymMv7WXr/hb6HQXHF0gZkF1Vgu9WBbJOUNMNCkIGp7GpSRxfENMVXAGadJGKTibVj2ZYCM/GRyMSMvF8gaLp6NIli0VUcUhLEwMfIQUClbDM4UsV6buYhoYnVTTpkxKBNRPGRioKvusG9fWqhYnP1IhPZVgna9uUl8TpTmYoL4szd/oUPnr7dUypGV5gEih0ebW3t3Ps2DFisRhTp049rfmeTqd597vfzX333cf73ve+UXoqw8aFR27HcU6QWspms+zdu/eURQAjKSU9cuQI3d3dLF26dNTMX9u2SSQSJ0Tea2pqiEajp11LfupJdXX1iDMAo43e3l727t3L0qVLiUQivLr/OL9oOMzeY90c606SzDh4IhiwkE9HOp5AkUGQLWpoCAm6KkEqZHJZdF3HdRx0w8DSwBMSXVUQQiKkRAMcIbFUhZQnUFUN6Xv4iobhZVANE1UIFAWkoiB9iSAoTVaFi6oO6MIrSjA8UVHQVaivLmHhjBpWLpjJmiXzmFJ9djr3ruuydetW6uvriUajpzXfc7kcd911F/fccw8f/vDZd5adAy58cjuOQ0NDA5deeumJNxmmfy2EYM+ePcEwvzGsOMv3aycSCbLZLBUVFa+LvOdlm+vr66mpqRmTdQwXnZ2dHDx4cMggXs52+eX2JrY2tXPwWA+J/gzJrB2otAiB40k0RWB7AkMFRVFxPRfTCAY4aqoW6LVJGZz8UuD5oGvBJqGpCp7v40nQhYei62hSoChqIP2MRPgSVQVFSgwjGMtUGQ8xqTxO/ZRK3rRgFm9bPR9zFDZs13XZtm0bM2fOfF2f9WDz/f777yeVSnHVVVfxrW99a9R10Jqbm3n/+99PW1sbqqryZ3/2Z3zqU586+WMXPrl93+fVV19lzZo1f7rBMImdPyWrqqqYPn36uJm/vu/T3d1diPSXlpYSj8dpaWlh4cKFQxZAjAdaW1tpaWlh+fLlZxU3SGZtth1qZU9zB80d/SR603R099GfyZJzXFxfomoanh9os7u+j4ISzPseeLZCSFQkvueh6yqWqWNoKpahYuk60ZBBaTTMpLIYM2srWDRrMivmTMMyRz/oCEG78datW5kxY8aQG6/jOLz3ve9lzpw5GIZBY2MjTz755KiupbW1ldbWVlatWkUymWT16tU88cQTLFp0QsnsmLzMY9oepSjKkAqo+fx1/t9Oh3yP7axZs8b9lNQ0raCdJoSgubmZgwcPYhgGzc3N2LY9JpH34aC5uZmOjg5Wrlx51vePhy2uXDyTKxfPfN2/5QOQeXM2ryNXXl4Bmh5szEJg6jpNB/djmuaExh3gT8SePn36kO+K67rcd999XH311XzmM58ZszXnRT0A4vE4Cxcu5NixYyeTe0wwrm9k/gscSeCsp6eHvXv3snjx4iFb8cYD7e3ttLe3c/nll2OaZiHyfvjw4VGLvA8HUkoOHTpEKpVixYoVY+aeDNaRmz17dkFHbt++vQW/taqqigOHDhCNRpk1a9aEE3vbtm1Mnz59yP4Fz/P46Ec/yurVq8eU2Cfj8OHDbN26lcsuu2xc7jchAonDJfbx48dpaWlh5cqVo1IQcrbIB/F6enpYtWpV4ZQcLKCYyWRIJBI0NDScdeR9uGvZt28fQgiWLVs2rmQ6WUeuo6ODhoaGwiSX7u7uE2SIxhN5YtfV1Q1JbN/3+fM//3MWLlzIF77whXH7/lKpFHfccQff/e53x+2QGlOf+2SpJSklL774IjNmzKC6uvq0pqSUkoMHD5JOp1myZMlZ1Q+PFgaTabhBPNu26ejoIJFI4LpuIfIei8XO6WU6X9Ju8KeqwIqKCurq6ujp6aGjo6NQKFRdXU1lZeWYFPOcai35me9DKef6vs/9999PbW0tDz300Lh9f67rcvPNN3P99dfzwAMPnOojF15AbTC584GzVCpFW1sbXV1dhMNhampqqKqqKrwEvu+za9cuwuHwefEC79y5k1gsdtYmZz7y3tHRQTqdPuua93zraHl5OTNnzhzxOkYTvu/T0NBATU1NYeRSHoP99K6urhNiFqNtxeTXMhxiCyF44IEHiMVifPvb3x4360JKyQc+8AEqKir47ne/e7qPXbjkPpV4oZSSdDpNe3s7nZ2dmKZJRUUFbW1t1NXVMXXq1HO59Tkjn7abMmXKqK3lVJH3mpqaM9a8u65bWMupSmzHE57n0dDQUJjScibk/fSOjo4hy0PPBvlNZtKkSUOuRQjBX/3VXwHwT//0T+PqNvzhD3/gyiuvZOnSpYX7fuMb3+DGG28c/LELk9yO4wzLv+7o6GD37t0YhoFlWYUpERPRtpmPzo+l0IOUslDz3t3dTTQaLVgxg90V27ZpaGhg5syZE55Pz+eOp02bdlaS0Pn8ciKRIJ1OU15ePhB9H7mfnid2bW3tkJuvEIK//uu/JplM8oMf/OC8GxwwgAuP3I8++iizZs1ixYoVQ/rNHR0dHDx4kKVLlxKNRgu7fSKRABiz4NSpkJc+Hs/o/MkpJ9M0CzXRe/fuZd68eRM+2N1xnEJRyGhsMnm997yfnt/chuOnD5fYUkq+9rWv0draysMPPzyhsZsz4MIj9+OPP85PfvIT9u3bxzXXXMPatWu59NJLTzDN87napUuXnjKFlC8LTSQS+L5PdXU1tbW1Y6I42dHRUahXH4+N5HTIZDI0NzfT0tJCNBpl8uTJ47a5nQr5jqrZs2ePiSWTn+GVb+gZyk8XQtDQ0EB1dfXr/P2Tr/nNb36TAwcO8Oijj05IHcIIcOGRO49sNsuzzz7Lhg0baGho4K1vfSs33XQTTz/9NHfffffr5nSdDo7jFE50x3GoqqqitrZ2yPrv4aKlpYW2tjaWL18+LhHeoTC4TlzX9TGJvA8X+TLbM4kbjCay2WwhCJn/naurq4lGo4UqxWnTpp3256WUfO9732Pr1q385Cc/mfDnOQxcuOQeDNu2eeKJJ3jwwQepqalh5cqV3H777bz5zW8e0UM4uf67srKS2traEQdqBheETHTaDYauEz/ZZ83XvJeVlY0J0fNa3meSIxpLDP6dOzs7icfjzJo167R+upSS73//+/zhD3/gf/7nf8a8oGiUcHGQG+DLX/4yy5cv55ZbbuHXv/41Gzdu5IUXXuBNb3oT69at461vfeuIHorv+wWip1IpKioqqK2tPWO6Kd+Iktc0n8i0G4ysTvxUkfd8bnk0gkb5oOKZtLzHA0IIduzYQVlZGbFY7AQ/Pa/CYhgGUkoefvhhnnvuOTZu3DihGnojxMVD7lPB8zx+//vfs379en7729+ycuVK1q1bxzXXXDOi6rSTX/ry8vLC6Tb4pc/PAq+srDwvhrjlYw/Lli0bsX843Mj7cJEfXXs+lPwOJvbg53Syn/4f//Ef2LZNc3Mzzz333JhVNN533308/fTT1NTUsHPnztG67MVN7sHwfZ8XX3yRDRs28Ktf/YpFixaxbt063vGOd4wokJaPyLa3t9PX11fIK0ejUXbs2MH06dPPKqUzmsi7BflqvHM9dQe/9Plmj3zN+3BOsmQyyc6dO0+YST1REEKwc+dOSkpKzli48y//8i/893//N2VlZaRSKX75y1+OevsmwO9+9ztisRjvf//7i+Q+VwghePXVV1m/fj3PP/88c+bM4dZbb+WGG24YkbJo/nRraWkhkUhQXl5OXV0dlZWVE+ZnDy5tXbhw4Zi4Bfma946ODuBPacVTbZJ52aply5aNCTFGgjyx4/H4GdVy169fzyOPPMKmTZuIxWKkUqkx3ZgOHz7MzTffXCT3aEIIwbZt29iwYQM///nPmTZtGrfeeis33njjsPqqe3p62LdvH4sXL0YIUTDpIpHIOZmxZ4N8nXg4HGb27Nnj4u8PVfPe19fH3r17Wb58+YSmASHY9PJlv2ci9hNPPMH3v/99nn766XGLDRTJPcbIvwAbNmxg06ZNVFVVsW7dOm666aZTqlu2t7dz5MgRli1bdoI/ljdj82WwoVCoYMaOVQolXydeUVExYf6+53mFIGR/fz+e57Fw4UJqamomNLAopWTXrl1EIhFmzZo15Gc3bdrEP/7jP7Jp06ZxjeYXyT2OyJu3GzZs4KmnnqKkpIRbb72VW265herqal5++WVM0xxWsGpwvbuu64Uy2NFKqZxPdeIQyE3v37+fGTNm0NPTU4hNjGbkfbiQUrJ7925CoRCzZ88e8rPPPfccDz30EM8888ywJ7qMForkniDk20U3btzIE088QV9fH1OmTOH73/8+U6ZMGdGpNNhfVVW14K+ebSQ2P5/qfNBdg6Air6mpiRUrVhQ2r9GOvA8XeWJblnVGN+XXv/41X/nKV9i0adOEfI9Fck8wpJTce++9VFRUUF9fz5NPPokQgltuuYV169ZRV1c3IqLncrlCGayUslAGO1z/NJ83Ph/qxCFwU44ePcqKFStO636ca+R9uJBSsmfPHgzDOGOb7+9//3u+8IUvsGnTpgnJdNxzzz385je/obOzk9raWr761a+OhmJqkdwjxc6dO1myJBCxl1LS2trKxo0befzxx8lms9x0002sXbt2xL3ajuMUiO55XuFEP12EOZ9eOh/yxhAUyxw7dowVK1aM6DTOT/fo6OgobHCni7wPF1JK9u7di67rZyT2Sy+9xIMPPsjTTz894S3Bo4wiuUcTiUSCxx9/nMcee4zu7m5uvPFG1q1bN+JKtbzcUHt7O7ZtF174fO13fijg+ZBegmDWdL6G/lzM7PwG19HRUajzH2nNe57YmqYxd+7cIX9u8+bN3H///fzsZz+bcI34MUCR3GOFrq4unnzySTZu3EhbWxvXX389t912GwsXLhxRQGlwBDqTyRAOh0mn06xcuXLC00sQVMF1dnaybNmyUc3tD/69h1vzng+CKopyxg1127ZtfPzjH+fxxx8/YwT9AkWR3OOB3t5ennrqKR577DGampp4xzvewbp161i+fPmIiH7s2DEOHz5MLBYjk8mMeZPHmXD48GF6e3tZtmzZmEbA8/PRE4kEfX19lJSUFNRm8huKlJLGxkaklMyfP3/I72Pnzp185CMfYcOGDcybN2/M1j3BKJJ7vJFMJtm0aRMbN25k3759XHvttaxdu5ZLLrlkSIIcPXq0cELqul544dvb2wsjhWtqasZNKXRw19t4p7b6+voKxUL5Ro++vj6AMxJ7z549fOhDH+KnP/3puOh8TyCK5J5IDO5J3759O29961tZu3Yta9asOeFEOlOdeH6kcHt7O729vYWTbSxyyvm0YH766EQXp6RSKfbu3UsmkyEejw8ZeW9sbOT9738/P/7xj1m6dOkErHhccWGS+7Of/SxPPfUUpmkye/ZsfvSjH034CJ5zRS6X4/nnn2fDhg1s2bKFK664gltvvZVNmzZx1113cemllw6LSPmTrb29ne7u7sLs8KqqqnP2ifOmr+/7Y1a3PtL1HDhwANd1WbhwYSG1eKrIe1NTE+95z3v493//91MOjRwNPPvss3zqU5/C930+8pGPFAQUJwgXJrmfe+45rrnmGnRd53Of+xwAf//3f3+ulz1v4DgOzz//PJ/+9KeJRCKsWrWK2267jauuumpEVW1SSvr7+wsmbF72eSh996GutXfvXhRFOaPpOx7IWxC2bbNo0aLXrSevsNPQ0MAXv/hFXNflb/7mb7j33nvHZO2+7zNv3jyef/556urquPTSS/mv//qviTT9x+QBjbkDdt111xVezjVr1tDS0jLWtxxXmKbJgQMH+Iu/+Au2bNnC+973Pn7+85/zlre8hY997GP8/Oc/J5fLnfE6iqJQWlrK3Llzueyyy5g9ezaZTIYtW7awdetWjh8/juu6Z7xOvtJL1/XzgtgQ+PynIzYE3+HUqVNZvnw58XicD37wg2zatInPfvazY7KeV155hTlz5jBr1ixM0+Tuu+8e9QGA5wPGVTXukUce4a677hrPW44L7r///sJLe80113DNNdfg+z4vvPACGzdu5Ctf+QqLFy9m3bp1vP3tbz9j0YeiKMRiMWKxGLNnzyadTpNIJNi6dWuh3v1Uvmq+0yzfdHG+EDubzZ7R529ra+Ouu+7iu9/9LlddddWYrunYsWMnaLDV1dXx8ssvj+k9JwKjQu63v/3ttLW1ve7/f/3rX2ft2rWF/9Z1nXvvvXc0bnle4VQvraZpXHXVVVx11VUIIXjllVfYsGEDDz30EHPmzGHdunVcf/31w+o7jkaj1NfXU19fTzabJZFIsH37dhRFOaGxZceOHZSWlk74RJI8mpqaCsHFoYidSCS48847+da3vjXmxAY4lSt6PmyEo41RIfcvfvGLIf/90Ucf5emnn+aXv/zlRfklngmqqrJmzRrWrFlT6Elfv3493/nOd5g+fXqhJ304/cjhcJgZM2YwY8aMguzzzp07SSaThRTb+YCmpiaSyeQZid3Z2cmdd97J17/+da699tpxWVtdXR3Nzc2Fv7e0tJwXHXqjjTEPqD377LM88MAD/Pa3v6W6uvpcL3dRId+Tvn79ep555hmqq6tZu3YtN99887CbS/IC/RUVFRiGQXt7O67rnlAGO944fPgw/f39Z8yr9/T0cPvtt/OlL32JW265ZdzW53ke8+bN45e//CVTp07l0ksv5Sc/+QmLFy8etzWchAszWj5nzpzCgHoIgmo/+MEPzvWyFx3yEe4NGzYUVEVuvfVWbr75Zqqrq095+uXH1p7cG56XfW5vbyeXyxXqvkdjPteZcOTIEXp7e0+YjXUq9PX1cccdd/Dggw9y++23j+maToVnnnmGT3/60/i+z3333ccXv/jFcV/DIFyY5C5i5Bjck/7kk09iWRa33HILa9euZdKkSSiKMuy5XZ7n0dXVRXt7+zlNGR0Ojh49Sk9PzxmJnUwmede73sUnPvGJizLAehYoknsorF+/nq985Svs2bOHV155hUsuuWSilzQqkFJy9OjRQqsqwLXXXstzzz3HI488MqIOqbzsc3t7O8lksiD7XF5efs5EP3r0KN3d3WesXU+n07z73e/mvvvu433ve9853fMiQpHcQ2HPnj2oqsrHPvYxvv3tb1805B4MKSXbt2/n1ltvZcaMGYWh7mvXrqW+vn5EBD2V7HNtbe1Z1bvnu83O1FyTzWZ597vfzb333st99903ontc5BgTcp/X09FGgoULF070EsYciqLw0ksv8aMf/Yi3ve1thZ70Bx54gN7eXm688UbWrl07rJ50VVWprKyksrISKSU9PT0kEgkaGxuJx+PU1tae0Ml1OrS0tAyL2LlcjnvvvZc777yTD33oQ2f1+xcxMlw0J3ceV1999UV7cg+Frq4unnjiCR577DHa29tP6Ekf6ey0kzu5amtrT1nvnteAX758+ZCbgOM4vPe97+W6667jk5/85BsyHXoGFM3y4RTLvFHJPRi9vb387Gc/47HHHuPIkSOFnvSR9nLn54bnNdRCoVCB6IlEgvb29jMS23VdPvjBD/LmN7+Zz3zmM0VinxpFcg8HRXKfiME96Y2NjYWe9NWrV4/Yt86LJR4/fhzP85g9eza1tbWnbZDxPI8Pf/jDrFy5ks9//vNFYp8eF2bjSBETi3g8zt1338369et56aWXePOb38wPf/hDrrjiCj73uc/x4osv4vv+sK4Vi8UIh8OEw2FWr16N7/ts27aNLVu20NzcjG3bhc/6vs/HP/5xFi1aNG7EXr9+PYsXL0ZVVTZv3jzm9zvfcdGc3I8//jif/OQn6ejooKysjBUrVvC///u/E72s8xaDe9Jfe+01rrjiCm677TauuOKK07aYtra2cvz4cVasWHGCKT5Y9rmnp4cXX3yR5uZmZsyYwTe+8Y1xO7Ev4IxJ0SwvYmzgOA6/+tWv2LhxIy+99BKXXXYZ69at48orryyY3G1tbbS0tJxRDjmRSPCpT32KHTt2MGnSJD7ykY+Me9rrAnTNiqmwicR5ptwxqjBNkxtuuIEbbrgBz/P43e9+x/r16/n85z/PqlWrqK2tJZlM8s1vfnNIYgsh+Pa3v820adN4/PHH6e3t5fDhw+P3ixRxAoon9zBwHip3jAt83+ehhx7ihz/8IVVVVSxYsIC1a9eesiddCMGXv/xlUqkUP/jBD8ZMiPEizZgUT+6JwmDlDqCg3HGxkzsv+Jifk/3KK6+wfv16HnroIebOncu6deu47rrriEajfO1rX6O7u5uHH354TBVWz9ReXMSfUCT3MPBGUe44Gbqu88gjjxT+PrgnfevWraxfv55/+Id/wHEc5s2bx4YNG0Z12EER54ZiKmwYeKModwwXqqqyevVq/u7v/o4tW7bw0EMP8Z//+Z8TTuzHH3+curo6XnrpJW666Sauv/76CV3PRKN4cg8DbxTljrOBqqrceuutE70MAG677TZuu+22iV7GeYPiyT0MXHrppezfv5+mpiYcx+GnP/3pefNCF1HE6VA8uYcBXdf553/+Z66//vqCcscESvIUUcSwUEyFFVHExKNYW/5GwX333UdNTQ1LliyZ6KUUcQGjSO7zEB/84Ad59tlnJ3oZRVzgKJL7PMRVV101bGnjIoo4HYrkLqKIixRFchdxXuGzn/0sCxYsYNmyZdx222309vZO9JIuWBTJXcR5hXe84x3s3LmT7du3M2/ePB566KGJXtIFiyK5izivcLGPfB5PFMl9HuKee+7h8ssvZ9++fdTV1fHwww9P9JImBI888gjvfOc7J3oZFyyKRSxFjDuGO/J58+bNPPbYY2+EJp0JkVkq4iKHoijTgP8AJgEC+Dcp5fcmeE0fAP4PcK2UMjORa7mQUST3GxyKokwGJkspX1MUJQ5sAdZJKXdP0HpuAL4DvFVK2TERa7hYUCR3ESdAUZQngX+WUj4/Qfc/AFhA18D/+qOU8v9MxFoudBTJXUQBiqLMBH4HLJFS9k/wcoo4RxSj5UUAoChKDNgIfLpI7IsDRXIXgaIoBgGxfyylfGyi11PE6KBolr/BoQR5pkeBbinlpyd4OUWMIorkfoNDUZS3AL8HdhCkwgC+IKV8ZuJWVcRooEjuIoq4SFH0uYso4iJFkdxFFHGRokjuIoq4SFEkdxFFXKQokruIIi5SFMldRBEXKYrkLqKIixRFchdRxEWK/x85iTX/0M/NzgAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_61_2.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -992,16 +991,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_63_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1095,7 +1093,7 @@
     {
      "data": {
       "text/plain": [
-       "[]"
+       "[]"
       ]
      },
      "execution_count": 5,
@@ -1104,16 +1102,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_69_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1797,25 +1794,24 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[0.29588901 4.59955801]\n",
-      "[[4.21985165]\n",
-      " [2.77627886]]\n",
-      "[[4.21985165]\n",
-      " [2.77627886]]\n"
+      "[0.34158665 3.94915262]\n",
+      "[[3.97117751]\n",
+      " [3.11850274]]\n",
+      "[[3.97117751]\n",
+      " [3.11850274]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_123_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1892,9 +1888,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[3.54163136]\n",
-      " [3.31866499]]\n",
-      "[3.59833875] [3.3594821]\n"
+      "[[4.40754621]\n",
+      " [2.78752269]]\n",
+      "[4.37713991] [2.77711437]\n"
      ]
     }
    ],
@@ -1998,24 +1994,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[4.00673393]\n",
-      " [2.84569271]]\n",
-      "[[3.98017611]\n",
-      " [2.86623151]]\n"
+      "[[3.94107596]\n",
+      " [2.96620033]]\n",
+      "[[3.96670977]\n",
+      " [2.94212937]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_132_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -2386,29 +2381,28 @@
      "output_type": "stream",
      "text": [
       "Own inversion\n",
-      "[[3.99519225]\n",
-      " [3.01509543]]\n",
-      "Eigenvalues of Hessian Matrix:[0.29229741 4.7643536 ]\n",
+      "[[3.95446837]\n",
+      " [3.16961682]]\n",
+      "Eigenvalues of Hessian Matrix:[0.31447174 4.32459186]\n",
       "theta from own gd\n",
-      "[[3.99519225]\n",
-      " [3.01509543]]\n",
+      "[[3.95446837]\n",
+      " [3.16961682]]\n",
       "theta from own sdg\n",
-      "[[3.98756882]\n",
-      " [3.02625928]]\n"
+      "[[3.91682433]\n",
+      " [3.13655438]]\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEWCAYAAAB1xKBvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAqoklEQVR4nO3deZxU1Zn/8c/TzdogIM0iCN0IImBckaDGZZQeE+MWnSwTZYwaldH8YkzGyTI6UTMO+WVi9lVxN3TMapxfokk0DQ24EG1cUVAUoVmUHdmX7n5+f1Q1Fk0tt6pu1a3q/r5fr3rRdesuz711uU/dc849x9wdERGRTCqiDkBERMqDEoaIiASihCEiIoEoYYiISCBKGCIiEogShoiIBKKEIZ2Wmd1qZjOjjiNMZnaGma2MOg7pmpQwpKjMbJmZ7TSzbWb2rpndb2Z9o45LRDJTwpAonO/ufYHjgOOB/4g2nK7JzLpFHYOUFyUMiYy7vwv8lVjiAMDMvmZmb5nZVjN7zcwuSvjscjN70sy+Y2abzOxtM/towueHmdmc+LJPAIMSt2dmF5jZq2a22cwazWxCwmfLzOzLZvaymW03s3vMbKiZ/Tm+vr+Z2cHJ9qO9mMjMbjCztWb2jpldkfB5o5ld1XE/Et67mX3OzJbEt3WbmY0xs2fMbIuZ/cbMenTY5o1mtj4e99SE6T3jx6fZzNaY2R1m1rtDnF81s3eB+8xskJn9KX5MNprZPDPTdUGS0okhkTGzEcBHgTcTJr8FnAb0B74BzDSzYQmfnwi8TiwZfBu4x8ws/tkvgQXxz24DLkvY1hHAQ8AXgcHAY8AfO1yIPw6cBRwBnA/8Gbgxvr4K4AtpdueQeMyHAlcCP02VYFI4GzgBOAn4CjADmAqMBI4CLu6wrUHxbV0GzDCzcfHP/ice/3HA4fF5bu6w7ECgFpgG3ACsJHZMhsb3V/0FSVJKGBKFR8xsK7ACWAvc0v6Bu//W3Ve7e5u7/xpYAkxOWHa5u9/l7q3AA8AwYKiZ1QAfBL7u7rvdfS7wx4Tl/hl41N2fcPe9wHeA3sCHEub5sbuvcfdVwDzg7+7+grvvBv5ArPgslb3Af7n7Xnd/DNgGjEszf0f/4+5b3P1VYCHwuLsvdff3iCWujttu3885wKPAp+KJ82rgS+6+0d23At8EPp2wXBtwS3zZnfG4hwG18djnuTqYkxSUMCQKF7r7QcAZwHgSio7M7DNm9mK8iGQzsV/XiUVL77b/4e474n/2BYYDm9x9e8K8yxP+Hp743t3biCWsQxPmWZPw984k79NVzm9w95aE9zsyzN9RNttOtp/Did0lVAELEo7fX+LT261z910J728ndof3uJktNbOvZRGzdDFKGBKZ+K/j+4n92sfMaoG7gM8D1e4+gNivbUuxikTvAAebWZ+EaTUJf68mVgxDfFtGrLhnVe57ENh2Yhfydofkub5k+7kaWE8suXzA3QfEX/3jDQza7Xf34O5b3f0Gdx9NrBju38ysLs/4pJNSwpCo/QA4y8yOA/oQu6CtA4hXHB8VZCXuvhxoAr5hZj3M7FRiF8B2vwHONbM6M+tOrOx+N/B0SPuRzovAP5lZlZkdTqyOI1/t+3kacB7w2/hd013A981sCICZHWpmH0m1EjM7z8wOjyfQLUBr/CVyACUMiZS7rwMeJFYm/xrwXeAZYkUyRwNPZbG6S4hVim8kVi/yYMJ2Xgf+BfgxsV/i5xNr3rsnhN3I5PvAHmL79ABQn+f63gU2EburqAeucffF8c++SqyIab6ZbQH+Rvq6lLHxebYRO+4/c/fGPOOTTspUvyUiIkHoDkNERAJRwhARkUCUMEREJBAlDBERCaSsOh8bNGiQjxo1KuowRETKyoIFC9a7++DMc6ZXVglj1KhRNDU1RR2GiEhZMbPlmefKTEVSIiISiBKGiIgEooQhIiKBKGGIiEggShgiIhKIEoaIiASihCEiIoEoYYiISCBKGCIiEogShoiIBFLwhGFm95rZWjNbmOSzfzczN7NBhY5DRETyU4w7jPuBsztONLORwFlAcxFiEBGRPBU8Ybj7XGJjLHf0feArgMaIFREpA5HUYZjZBcAqd38pwLzTzKzJzJrWrVtXhOhERCSZoicMM6sCbgJuDjK/u89w90nuPmnw4Ly7cxcRkRxFcYcxBjgMeMnMlgEjgOfN7JAIYhERkYCKPoCSu78CDGl/H08ak9x9fbFjERGR4IrRrPYh4BlgnJmtNLMrC71NEREJX8HvMNz94gyfjyp0DCIikj896S0iIoEoYYiISCBKGCIiEogShoiIBKKEISIigShhiIhIIEoYIiISiBKGiIgEooQhIiKBKGGIiEggShgiIhKIEoaIiASihCEiIoEoYYiISCBKGCIiEogShoiIBKKEISIigShhiIhIIEoYIiISiBKGiIgEUvCEYWb3mtlaM1uYMO12M1tsZi+b2R/MbECh4xARkfwU4w7jfuDsDtOeAI5y92OAN4D/KEIcIiKSh4InDHefC2zsMO1xd2+Jv50PjCh0HCIikp9SqMP4LPDnVB+a2TQzazKzpnXr1hUxLBERSRRpwjCzm4AWoD7VPO4+w90nufukwYMHFy84ERHZT7eoNmxmlwHnAXXu7lHFISIiwUSSMMzsbOCrwD+4+44oYhARkewUo1ntQ8AzwDgzW2lmVwI/AQ4CnjCzF83sjkLHISIi+Sn4HYa7X5xk8j2F3q6IiISrFFpJiYhIGVDCEBGRQJQwREQkECUMEREJRAlDREQCUcIQEZFAlDBERCQQJQwRKb76ehg1CioqYv/Wp+xOTkpIZH1JiUgXVV8P06bBjnivQMuXx94DTJ0aXVySke4wRKS4brrp/WTRbseO2HQpaUoYIlJczc3ZTZfkIijWU8IQkdzlctGqqcluuhyovVhv+XJwf79Yr8BJQwlDRHKT60Vr+nSoqtp/WlVVbLq8L10yjqhYTwlDRHKT60Vr6lSYMQNqa8Es9u+MGarwTpQpGUdUrKeEISK5yeeiNXUqLFsGbW2xf0s9WRS7viBTMo6oWE8JQ0Ry01XqIqKoL8iUjCMq1lPCEJHcdJW6iCjqCzIl40zFeh3uiAbBwDDCUsIQkdx0lbqIKOoLgiTjVMV6Se6IaqA2jLDM3cNYT1FMmjTJm5qaog5DRLqSUaNiF9+OamtjF+pCqa+P3cU0N8fuLKZPD5aMk8Q7CWhyt3xD0h2GiHRNQSuyoyh6yzVZQEHvfAqeMMzsXjNba2YLE6YNNLMnzGxJ/N+DCx2HiMg+2VRkF7voLd9K9gI2OijGHcb9wNkdpn0NaHD3sUBD/L2ISHFkW5FdiGbAqe5w8q1kT3JH5NCWd7wUIWG4+1xgY4fJHwMeiP/9AHBhoeMQEdkn6v6s0t1FJKsvgdTTE7S1tPE8E/nj2C+xpuIQ2jCWUUszZF44gKJUepvZKOBP7n5U/P1mdx+Q8Pkmd09aLGVm04BpADU1NScsD3DQRETSiqoiu92gQbBhQ/Ltr1wJra0HflZZCS0t+03yNueNv75NwwMraJjXk8Z3jmCjx1rQTujxFnXjVlJ3bi8u+tZJC9x9Ur5hl/x4GO4+A5gBsVZSEYcjIp3B9On7j8kBxXuGpL4+ebKA2B1Oqh/x8SSy8rl3mHXXWzQ0QMOyMaxqGw2MpqZyJR87/FXq/rGCM68aw/CJY4AxsWW/FU7oUbWSWmNmwwDi/66NKA4RyUepjJyXbRyFqsgOEke6uoiamlgsSWzoPpRxPd5m5ORhXHbXqTz69gQ+NHwZd1wylyV/W86yPYdy7xunMfVnpzB84iH57Ucq7l7wFzAKWJjw/nbga/G/vwZ8O8h6TjjhBBeREjFzpntVlXvsN3HsVVUVm55s3tpad7PYv8nmKUYchRQ0jsTPO75mzvSdP7vH93bvtd/0bVT5Fdzt5wx+1r97wWx/8deLvXVva+DQgCYP41oexkrSbgAeAt4B9gIrgSuBamKto5bE/x0YZF1KGCIlpLY2+UWvtnb/+XK9oAdJMjNnuldWBouj0IIejxTxtmJ+Wr8XvTu7/WJm+jJqvBXzTT2H+uLLv+l7tu9Jvt0AxymshKEnvUUkNxUVycvbzWLNT9vlUsHccdxviNUxdOwvqeM86eIotIDHw81I9sh1GzC56lXqjlpL3YUHcerVE6gaVJVkzgRBjhNgZqFUeithiEhugiaCoIkl23WnmidVHIWWIh6vqWHJjEYa7l/BrHnd+d6qTzGSlQfM1zp8BJWrVoSyzY77HlbCUNcgIpKboF1m5NINepDnJNIli3QtngpVUZ/keOy2nly34suMO/swPver05n/bi2PDrmClm49D4i38ts5NGUq8vMkShgikpugLY1y6YspU5Kpr49tM5nKytQtngo0tsXGtzbx8EtjuG/gl1jF8H0PzF3nP2TN8BP4+cVzeePxZTTvGcY1a/6LbvffE04LrWKPSRJGRUixXqr0FilT2baSylRRnqqC2Sz9ulMtV12d1e5sX7fd//rNJv/K5Nl+QtWrbrQ6uPdhq3908LN++7mz/flfLsqqJVNaqY5fwAYFlEsrqTBfShgiXUi6JGOW/MIP6deZbrnEi3Didq+91ttG1nhbvMXSN3pP9+7sdnDvzm4/rd+LfusZs33eT1/y3Vt3F+Y4pEsKaiWVnCq9RQTIvWuPdBXltbVJnwB32K9V00568YfDbqD6ygs59eoJ9BnSJ/v4sxFCNyaq9BaRrivXMSrSfO7NzWyddsMBzXQ71pT0ZheXtM3kIzdNKnyygOg7SkyghCEi5SfXrj2mToXq6qQfLfca+uwI2EtRMS/Wxa7YTkMJQ0TKU5AxKhKa0LYeOpLnLvgG9/e+hp302m+2XdaTJSddSuuQYcG2XaiLdbImv1GM+JeCEoaIdEq777iP1iuu2teEtnL1So7847eZs3I0P+xzI+/1GopjeE0NvX5xD2c9cxvdv/ftAy/OyWzbFn5Hi6ma/EJxR/xLQ5XeItIp7N2xl+d+sZiG32xg1vP9uX/zhbGhgzrwkTVYc5qH/urr4frrU3dB3i5JFxx5KeAYHar0FpFohPmkdB7ramtp4+XfvcH3L2zkvKHPMrDPLk655mhumXU67+3uRQ3Ju9mwlRm635g6Ffr2zRxANsOmBlFClduplPwASiJSQjp2dpdYbJLtL+0s1+VtztLGZhruXU7D3G7MXjmWdX4EcARju7/Nvxz5AnVnd+fMa8ZRPXYCjKpJ/os9SP1D0It0mBfzmjziLZYwHuYo1ksP7olELGgX3iGt652X1vjMa5/0z46d67WVK/bNMrxitV86ep7ff9U8b56/Kvn68xknI1VshexCvYDjeqAnvUWk6FI9KW0W2rrawK87ptGP7Llk3+QBtskvGvaM/+STjb7o0be8rbUt2DZyHbgp2cW746sQgzQVaKCpsBKGiqREJLgwi01SrMsxtry8lBHVfbhsSiN1lwzluE8dQWWPkzKvs74+Vq/Q3Bxb//TpuVUYtxeJJa7rnHPgscf2X3fYLZWmTo2k9VNQaiUlIsEFHLAnlZZdLTTNXEzDr9fjTz3FjTu/TgUHXoMytmQqQGydmVpJiUjxZfmEtbc5zdd/ly1Vh9BmFazuPZofXf0S//m3M/idfwJLkiwgQEumZG666cDR98JuydTFKWGISHYyPGG9tLGZuz4zl4trn+bayjup/tHN9Nu5hgqcGlbwYLcree/2O3lx5zistjb5NnIp4krVYindQEuFVqjBmiKihCGSj052QcjFmoXreOi6p7lq3DwO676CMWfWMO0XpzNn5Whuq7yVPuz/q79by276/eT/xt6k6vbinHNSH9dUxzxVkjHL/XvJ5/st0GBNkQqj5jzXF/Al4FVgIfAQ0Cvd/GolJSWlgM0gS9nm5Zv9f2+c7184ttGP6vnGfi2ZLhz2jP/4E43+2h/fjLVkCtKqKsn4EymPa7pjPnNm6u3l0vw13+83zCbIeaLcx8Mws0OBJ4Ej3X2nmf0GeMzd70+1jCq9paQUsCuHUrJr8y6euus1Zj2yhYaXBvHc9gm0UUlvdnDqwEXUTd7KlE8PYeLF46jsUbn/wrkco3TLQPr1pRq21SxWhJaNfL/fiopYiggjljyFVekddbPabkBvM9sLVAGrI45HJLgy6MohFy27WlhQH2vJ1NDUj6c2HcluJlJJC5P7LuLGU+dR9/EBnPzZCfTsd0L6lSUZkOiAnlY7NoVNVeeQ7ri2f1ZbG16z33y/33J4cjtbYdym5PoCrge2AeuA+hTzTAOagKaamprQbtGkzBTogaa8lFCRQyApjmFba5u/8vAb/oOLGv38ofO9H5v37coxvRb7lybO9j/d8qy/t+K9ULe777OOxT7pipUyHfMwiwnz/X5DGFo1LJT7k97AwcAsYDDQHXgE+Jd0y6gOo4sqZF1BPv9py6kOI0mseyp7+o+rb/ahFWv2TR7TbZlfPX6O/+oLT/mahWsLH1eqi3LHpBGkDiNxX9vXW1n5/kU+2+8ljO831flV5HOnMySMTwL3JLz/DPCzdMsoYXRRhfolX8gLQolpGTYi6TFsZoRfUvuk33P5XF/25IpwNpbNMUl1N9H+/aa6K8m0/rAuyIX6fot8dxpWwoiy0vtE4F7gg8BO4P74Tv041TKq9O6iClV52Ikrrbes3MKcOxcz69GdNCwaxou7xid/otoMC7MCNtunrQv1HZT6d1vkCvGyf9Lb3f8O/A54HnglHsuMqOKRElaoMY07UaX1rs27mP29F/jPUxs5+aBXGDiyigv+ezJ3vDCZIb23sbXXkKTLWdgVsEGetk58tmHbNujRY//5wxh+tNS/2xIapzsrYdymFOulIqkuqlDlveVWaZ2gZXeL//3ehf7ND8/2fxzY5L3YESuyZ6+f1Pdlv+mU2T7ru8/7zk07YwskO4Y9erhXV4db3JLpuYtkcXTvHn4cpf7ddtY6DOBvwLFhbCzflxJGF1aIsuQyqrRua23zV/93if/o443+sUPme/+ElkxH93rdv3h8ozdd+A1vPXRk6mOUeAyrq2MX6mIn4WJdyMvhu+2MraSAicRaM90HDAtjo7m+lDAkdPmMl1Dg/+zLnlzh91w+1y+pfdIPqXh333XvsG7L/apxc/yh657yd19Z+3482Vwgo2pIEOZ4GkFiKYMGCcVQtISxb0b4OPAScAvQO4yNZ/tSwpCSUKBfr2tfW+e/+sJTPm38HB/Tbdm+VQ+tWOMX1z7pd18215fOaU6+cLYJoJAX7nQX6lIvKuqkipowAAOOAq4B1gMrgUvDCCCblxKGhCrXX6DpLnpZrHPLqi3+p1ue9S9NnO3H9Fq8bzX92OznD53vP7io0V95+I1go8tlmwCiunCXQ1FRJ1TMIqkniXXZ8QRwG3AecDjwY2BGGEEEfSlhSF46luH36JH9hWvmzOQX2sR1pFjnrvd2+ezvv+D/eepsP7nvy17JXgf3nuz0KQcv8Olnzfb5d7/ie3fuzX7fsk0AUV64VVRUdMVMGEcRH5kvyWeLwggi6EsJQ3IWZIzmTL+wM62j/aniDq/NvYb6WQObvDfbHdwraPET+7ziN35otv/t2wt8x4Ydhdm/TAlAF+4uI6yEkdeDe2Y22t2X5ryCLOnBPclZqge5Okr34FS6dVRV4Tt2kKyv1DaMY3q+Tt341dSd24t/+Nfx9K/pHzDwLCQbz7qLD00qMWE9uKcxvaVrSPVkbUfpngROsQ4Hfj7o65y//j5GsvKAz1uHjaBydQ5DjpYyJaeyUvZPeosAxRuxLsgTtJmeME6xjuXU8o0N1/HIwCvZW9nzgHVW3v6tLAItA51xJDkJJoxyrWK9VIfRyaTr2jrsMvUcnzDe+s5Wf/TWZ/3fTpjtX+t2u2/jwB5fl3/hO++3ZOoK9QJqGlt2KPfeanN5KWF0MqkuPIVqtRPgYr7rvV3e+IMX/ObTZ/spB73k3djj4N6DXX5b7//27d37eRt4G8SSTS7xlfDDgoEU8+E7CUVYCUN1GBKdIPUKBe5dtHVPKy/+5g0afrmGhmf7Mm/DkeykigpaOaHPYuqOXkfdRf04fcBL9PjS54P3wppKtr255rtcIZR6T7BygLDqMCK/a8jmpTuMTibTHUamX63JfnFn+BXe1trmix59y3/yyUa/aNgzfrBt3LepI3su8euOafRH/mO+b1q2OVis2RbD5LqeUioG0sN3ZQcVSUlOSqVYoz2WTM9GZPPgWffuSR/GW3/rj/3+q+b5paPn+fCK1e+vunKFf3bsXJ957ZO++oV308caVjFMrusptWKgUjqPJCMlDMleKf4yTBxOM9WwnMkEuTuJv96m1sF9kK3zT418yu+cOsffbFgWrMuNTNvrincYUnaUMCR7pX7RCWtozw6vNsxf+u3r3rq3Nb/YwhryM5f1lGKyl7KhhCHZC1qsUeLFDbu37vadBw8LnDBCS4hhHZdybyUlZUcJo5xF9R8/yB1GCf6Sbd3b6gtmvubfPme2f6T6Oa9im1/MzAOeiWhLUYfh116b+njrIixdgBJGKcnmohN1L6HJtp14QU3RgZ5XVhbtYtr2i5m+Z8hwb8N8TeVQv5o794Uxoceb/vmjG/3hrzzjW78/I3MrqWuvTX28SzA5ihSCEkapKJWRzrKJN9MFNdWrgBfTlc+t9geunuc/G/x1307v/ba7y3r6vLqbfdWCd7Lfv+rq1Akw1WelUqcjEpKwEkakD+6Z2QDgbmJdqDvwWXd/JtX8JfngXrYPMaV6WC1dL6mFFLQX13YhPZy18a1NzL5jMQ1/3susJSN4fc9oAJoZmbQDv0DbTfZwWy6i+i5ECqSzdD74Q+Av7j4eOBZYFHE82Wtuzm56qk7wgnSOl0y+nfelijOs+eO2r93OX6c38ZXJjZxQtYhBh/fnE985mQdfnciY/hv4znmNvPCr1xlhq3Lf7k035Z8sIPfvQqST6xbVhs2sH3A6cDmAu+8B9kQVT85qapL/Qk910Zk+PXkXD+l6SU2l4y/q9l5DIXh3EaniTzd/AHu27eHZBxfT8NuNNDx/MPO3TGAvk+jOHk7u/xq3njSXuk8OZPJlE+he9cH3F/xqlsczUY7JbD+5fhciXUEY5Vq5vIDjgGeB+4EXiBVN9Uky3zSgCWiqqakJr1AvLNnWYcycuX/ZeaYO7NJVqIdRH5KuIjyL/Wrd2+rP/3KR337ubP/o4Ge9D1tjLXZp9ROqXvWvTJ7tf/1mk29bsy23eILUnaQ6HtXVqSvzq6vVSko6Pcq90huYBLQAJ8bf/xC4Ld0yJVnp7R68lVQuySXd/GF1F5Eq/jT71dba5m88/rb//OI5/olDn/ZqW79v8+N7vOmfO6rRf//lZ3zDmxuziyXDdjMupxZRIgfoDAnjEGBZwvvTgEfTLVOyCSOobO8IMs1f5BZXqxa84w/+6zy/bMw8H1m5ct/mRlSu8svGzPMH/3Wer3xudUG2HVi6ZKNnLqSLCithRN1Kah5wlbu/bma3EiuS+nKq+UuylVQ2sm0hlWn+And5ventzcz++WJm/WU3Da+PYPGeMQAMtI1MGf46U07bS93lIxl71iisItlo1iJSCsJqJRVZpXfcdUC9mfUAlgJXRBxPYWVbQT5wIGzYkHw6vJ8UQhpbecf6HTx51yIaHtlKw8IhPL9jPM5JVLGd0we9xpUnrqBu6iEc+8kjqOh2ck7bKFkao1okIw2gVEzZ3hEMGpQ8YVRXw/r1eYezd8denn1gEQ2/3cis5wfwzHsT2ENPurOHk/otom7iplhLps+Mp0ffHnlvr2SV0uBEIgUQ1h2GEkaxZfNLNuSH/Npa2njl4SU01L9DwzN9mLtuPNs4CKON43u/Tt1Ra5hyQV9OmzaBPkP6ZL3+UETxS18jyEknpxH3ii2KCtM8K7XbWtt8yd+W+R2XzPFPjnjaB9m6fas4ovtSv/YDc/x3//60r39jQ+aVFWP/i9WSqeO+pOoKJZ/BiVTBLiWEcm8llcsrsoQRVZPMTM1Ek1yQVr/wrv/imif9irFzvaZyxb7FDq1Y7Z8ZPc8fuHqer3g2y5ZMhdj/ZPEXo9VXsn1J1Tw51+2qCa+UGCWMYgrzQpbtL89U41Z3uCDtsp7+75Xf2zfpYNvo/zT8Gf/pPzf64sfeym50uY7CvpCnuqAW4pd+0H3JZrS/XLehTg0lImElDNVhBBFWXUIIlas71u/Axo6h9+Z3D/hsTcUhPHj2Q9RdMpRjP3kElT0qg8eWTtgdJqaqM6ishNbWA6eHWZeQal/atxNG3UmpdTApXZ4qvYsprErRHNazd8denvvFYmb9dgMNC/rz9OYj2UlvKijiBSnsSuF0F+2qqsK2VipGBbcq0aXEdJbeasvD9OmxC1eiXDqpC9CzbVtLGy//7g2+f2Ej5w19luo+OznlmqP5esMZbN7dm+tOeIbd/YcmX0+helkNa//bpYqztjaWHGprY8mv/X2YraTC3peotiEShTDKtYr1KvtWUinKtvcMOdTvnDrH/3nkUz7Y1u77aGz3pX7NkXP8t//2tK9bvH7/WIpdqRpmq5+oK4WL1eJLraSkRKBKby+//5RJLpTb6e0XM9PBfXjFar909Dy/78p53jx/VeZ1ldO+d1Tu8YuUkbASRvnWYZTR07mbl7/HnDsX0/DoLnq+uoD/0/ojamhmJYfy+/5X0ePDZ1B3+UjGnX1Y9n0yqUsLEclAld4lXLG4c+NOnrp7EbMe2ULDy4No2j6BNirpzQ5Oq36NusnbmPLpIRz/6XH5tWQqo6QpItFRwgjSdLFIv75bdrXQNHMxDb9eT0NTf57ePIHd9KIbe5l80CLqjttI3ccHcNIVE+jZr2d4Gy7hpCkipaOz9Fabu0w9v4YxfGkK3uYs/MMSGma+Q8PTvZmzdjxbOQqAY3u9zv85YT515/fhtKvHc9DwY/LaVlrZjicuIpKH8r3DSFYcYxa766ithW3bkvf0muOv76WNzcy6bzkNjZXMWjGWtT4YgMO7L6Pu8GamfKQbZ047gsETBuWwZznSHYaIBKA7jMSxIJYvfz9ZQPKLaLuAv77XLFzHrDuX0PB4Kw1LR7GspQao4ZCKNZxV+wZ1Zy5mypWHUXvKKGBUHjuSh+nTk9dhqL2/iBRA+SWMZPUS7UkjiBQPjb3XHGvJNOuxXTQsGs7C3WOBwfTnPc4ctogbTllK3WUjGH/OaKwixYNzxRbyAEoiIumUV5HU6NHetGbNgb+oE9+nk9CCaNfmXTx9zyIaHn6PhpcG0bR9PK10oxc7OW3ga0z54FbqLh7CxIvzbMkkIhKxrtlKqmdPb9qz58APUnVaV10NfftCczM+YiRvfeRz/Gb5iTQ09eOpTUeym15U0sLkvouoO24DdR8fwMmfDbklk4hIxLpmHUayZAGxZNHhTsOrqlh56X/wh+ZJNOzuReOK8Wy5uz8Ax/R6nc9NnM+Uc6s4fdp4+o04uhjRh0MP6olIRDrHHUZtLUyfTssNX6VyzWrWVw7h5tZbuINrARjdbTl1hy+n7sPdOHPaWIZ8YHCRIw+JHtQTkRx0miIpM6sEmoBV7n5eunmT1WG0dOvJfYO+zLfWX8XSlloAhlaspW7kEurObGPKlYcx6tQRhdyF4lEzWhHJQWcqkroeWAT0yzRja9/+PH/s5Yx69GcM2LuWZmq4sWU6j757HmccspjrP7SMus8cypHnj8EqhhQ+8mLTg3oiEqFIx8MwsxHAucDdQeZ/8ZUKTnjkZg7d+zYfPriJhz58P1+89zg27OzD/75zIl/4/T/wgY8dnn0HfunU18d+2VdUxP6trw9v3dlKNY5EocbBEBFJEPUdxg+ArwAHpZrBzKYB0wCqex7Gb6a/wIeunECvARMLH10BuxfJiR7UE5EIRXaHYWbnAWvdfUG6+dx9hrtPcvdJo44ayJQbjqfXgF7FCfKmmw58xmPHjtj0RMW6C5k6tfAj0omIpBBlkdQpwAVmtgz4FTDFzGbmvLagF+1sLu5B6gza70KWL491TdJ+F1LIpLFsWaxH3mXLsk8WpVTEJiLlJYxRmPJ9AWcAf8o0X8ohWoMO+Znt0KAphlT12trs5ikVUQ+NKiKRIKQR9yKt9A5N0KKjoPO1mz49VkeQqGOdQTm1XMp2/0VEEpREwnD3Rs/wDEZaQS/a2V7cg9QZlFPLpXJKbiJSckoiYeQt6EV74MDslofMdQZB7kJKRTklNxEpOZ0jYQS5aNfXw9atBy7bvXt+F/dyarlUTslNREpO5F2DZGO/Efc6ytQpX6puNaqrYf36gsRbktR5oUiX02n6kspG2oSRSUXF+yPyJTKLFTeJiHRSYSWMzlEkFYTK70VE8tJ1EkY5ld/r4ToRKUFdJ2GUS+V0sZ8cFxEJqOvUYZQLjXkhIiFTHUZnpYfrRKREKWGUGlXOi0iJUsIoNeVUOS8iXYoSRqkpl8p5Eelyoh5xT5KZOlUJQkRKju4wREQkECUMEREJRAlDREQCUcIQEZFAlDBERCQQJQwREQlECUNERAKJLGGY2Ugzm21mi8zsVTO7PqpYREQksygf3GsBbnD3583sIGCBmT3h7q9FGJOIiKQQ2R2Gu7/j7s/H/94KLAIOjSoeERFJryTqMMxsFHA88Pckn00zsyYza1q3bl3RYxMRkZjIE4aZ9QV+D3zR3bd0/NzdZ7j7JHefNHjw4OIHKCIiQMQJw8y6E0sW9e7+cJSxiIhIelG2kjLgHmCRu38vqjhERCSYKO8wTgEuBaaY2Yvx1zkRxiMiImlE1qzW3Z8ELKrti4hIdiKv9BYRkfKghCEiIoEoYYiISCBKGCIiEogShoiIBKKEISIigShhiIhIIEoYIiISiBKGiIgEooQhIiKBKGGIiEggShgiIhKIEoaIiASihCEiIoEoYYiISCBKGCIiEogShoiIBKKEISIigShhiIhIIEoYIiISSKQJw8zONrPXzexNM/talLGIiEh6kSUMM6sEfgp8FDgSuNjMjowqHhERSS/KO4zJwJvuvtTd9wC/Aj4WYTwiIpJGtwi3fSiwIuH9SuDEjjOZ2TRgWvztbjNbWITY8jUIWB91EAEozvCUQ4ygOMNWLnGOC2MlUSYMSzLND5jgPgOYAWBmTe4+qdCB5Utxhqsc4iyHGEFxhq2c4gxjPVEWSa0ERia8HwGsjigWERHJIMqE8Rww1swOM7MewKeB/xdhPCIikkZkRVLu3mJmnwf+ClQC97r7qxkWm1H4yEKhOMNVDnGWQ4ygOMPWpeI09wOqDURERA6gJ71FRCQQJQwREQmkJBJGpi5CLOZH8c9fNrOJQZctcpxT4/G9bGZPm9mxCZ8tM7NXzOzFsJq45RHnGWb2XjyWF83s5qDLFjnOLyfEuNDMWs1sYPyzohxPM7vXzNamev6nhM7NTHGWyrmZKc5SOTczxVkK5+ZIM5ttZovM7FUzuz7JPOGen+4e6YtYhfdbwGigB/AScGSHec4B/kzs2Y2TgL8HXbbIcX4IODj+90fb44y/XwYMKpHjeQbwp1yWLWacHeY/H5gVwfE8HZgILEzxeeTnZsA4Iz83A8YZ+bkZJM4SOTeHARPjfx8EvFHoa2cp3GEE6SLkY8CDHjMfGGBmwwIuW7Q43f1pd98Ufzuf2LMlxZbPMSmp49nBxcBDBYolJXefC2xMM0spnJsZ4yyRczPI8UylpI5nB1Gdm++4+/Pxv7cCi4j1oJEo1POzFBJGsi5COu50qnmCLBuWbLd1JbHM3s6Bx81sgcW6OymUoHGebGYvmdmfzewDWS4bhsDbMrMq4Gzg9wmTi3U8MymFczNbUZ2bQUV9bgZWKuemmY0Cjgf+3uGjUM/PKLsGaReki5BU8wTqXiQkgbdlZmcS+095asLkU9x9tZkNAZ4ws8XxXzFRxPk8UOvu28zsHOARYGzAZcOSzbbOB55y98RffMU6npmUwrkZWMTnZhClcG5mI/Jz08z6EktYX3T3LR0/TrJIzudnKdxhBOkiJNU8xexeJNC2zOwY4G7gY+6+oX26u6+O/7sW+AOxW8JI4nT3Le6+Lf73Y0B3MxsUZNlixpng03S45S/i8cykFM7NQErg3MyoRM7NbER6bppZd2LJot7dH04yS7jnZ6ErZgJU3HQDlgKH8X7lywc6zHMu+1fcPBt02SLHWQO8CXyow/Q+wEEJfz8NnB1hnIfw/kObk4Hm+LEtqeMZn68/sbLkPlEcz/g2RpG6kjbyczNgnJGfmwHjjPzcDBJnKZyb8ePyIPCDNPOEen5GXiTlKboIMbNr4p/fATxGrLb/TWAHcEW6ZSOM82agGviZmQG0eKwny6HAH+LTugG/dPe/RBjnJ4BrzawF2Al82mNnUakdT4CLgMfdfXvC4kU7nmb2ELGWO4PMbCVwC9A9IcbIz82AcUZ+bgaMM/JzM2CcEPG5CZwCXAq8YmYvxqfdSOzHQUHOT3UNIiIigZRCHYaIiJQBJQwREQlECUNERAJRwhARkUCUMEREJBAlDBERCUQJQ0REAlHCEMlDfDyCs+J//7eZ/SjqmEQKJfInvUXK3C3Af8U7mjseuCDieEQKRk96i+TJzOYAfYEzPDYugUinpCIpkTyY2dHERj7brWQhnZ0ShkiO4iOX1RMbqWy7mX0k4pBECkoJQyQH8ZHWHgZucPdFwG3ArZEGJVJgqsMQEZFAdIchIiKBKGGIiEggShgiIhKIEoaIiASihCEiIoEoYYiISCBKGCIiEsj/B7cD8V/z/jEfAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_148_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -3101,16 +3095,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_188_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     },
@@ -3569,13 +3562,13 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m8.4\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"The derivative of f8 is:\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mf8_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py\u001b[0m in \u001b[0;36mnary_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     18\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m                 \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0margnum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0munary_operator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0munary_f\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mnary_op_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mnary_op_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     21\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mnary_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mnary_operator\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py\u001b[0m in \u001b[0;36mgrad\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m     23\u001b[0m     \u001b[0marguments\u001b[0m \u001b[0;32mas\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbut\u001b[0m \u001b[0mreturns\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mgradient\u001b[0m \u001b[0minstead\u001b[0m\u001b[0;34m.\u001b[0m \u001b[0mThe\u001b[0m \u001b[0mfunction\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     24\u001b[0m     should be scalar-valued. The gradient has the same type as the argument.\"\"\"\n\u001b[0;32m---> 25\u001b[0;31m     \u001b[0mvjp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mans\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_make_vjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     26\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mvspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mans\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     27\u001b[0m         raise TypeError(\"Grad only applies to real scalar-output functions. \"\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py\u001b[0m in \u001b[0;36mmake_vjp\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmake_vjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m     \u001b[0mstart_node\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mVJPNode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnew_root\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m     \u001b[0mend_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_node\u001b[0m \u001b[0;34m=\u001b[0m  \u001b[0mtrace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstart_node\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mend_node\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mvjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mvspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py\u001b[0m in \u001b[0;36mtrace\u001b[0;34m(start_node, fun, x)\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mtrace_stack\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnew_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m         \u001b[0mstart_box\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_box\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstart_node\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m         \u001b[0mend_box\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstart_box\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misbox\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mend_box\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mend_box\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_trace\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mstart_box\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_trace\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mend_box\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_box\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_node\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py\u001b[0m in \u001b[0;36munary_f\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m     13\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m                     \u001b[0msubargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msubvals\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margnum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0msubargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     16\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margnum\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m                 \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0margnum\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m\u001b[0m in \u001b[0;36mf8\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mautograd\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mgrad\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mf8\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# Assume x is an array\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "Input \u001b[0;32mIn [22]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m f8_grad \u001b[38;5;241m=\u001b[39m grad(f8)\n\u001b[1;32m      9\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m8.4\u001b[39m\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe derivative of f8 is:\u001b[39m\u001b[38;5;124m\"\u001b[39m,\u001b[43mf8_grad\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m)\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:20\u001b[0m, in \u001b[0;36munary_to_nary..nary_operator..nary_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     19\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(args[i] \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m argnum)\n\u001b[0;32m---> 20\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43munary_operator\u001b[49m\u001b[43m(\u001b[49m\u001b[43munary_f\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mnary_op_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mnary_op_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py:25\u001b[0m, in \u001b[0;36mgrad\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;129m@unary_to_nary\u001b[39m\n\u001b[1;32m     19\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgrad\u001b[39m(fun, x):\n\u001b[1;32m     20\u001b[0m     \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     21\u001b[0m \u001b[38;5;124;03m    Returns a function which computes the gradient of `fun` with respect to\u001b[39;00m\n\u001b[1;32m     22\u001b[0m \u001b[38;5;124;03m    positional argument number `argnum`. The returned function takes the same\u001b[39;00m\n\u001b[1;32m     23\u001b[0m \u001b[38;5;124;03m    arguments as `fun`, but returns the gradient instead. The function `fun`\u001b[39;00m\n\u001b[1;32m     24\u001b[0m \u001b[38;5;124;03m    should be scalar-valued. The gradient has the same type as the argument.\"\"\"\u001b[39;00m\n\u001b[0;32m---> 25\u001b[0m     vjp, ans \u001b[38;5;241m=\u001b[39m \u001b[43m_make_vjp\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfun\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     26\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m vspace(ans)\u001b[38;5;241m.\u001b[39msize \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m     27\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGrad only applies to real scalar-output functions. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     28\u001b[0m                         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTry jacobian, elementwise_grad or holomorphic_grad.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py:10\u001b[0m, in \u001b[0;36mmake_vjp\u001b[0;34m(fun, x)\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmake_vjp\u001b[39m(fun, x):\n\u001b[1;32m      9\u001b[0m     start_node \u001b[38;5;241m=\u001b[39m VJPNode\u001b[38;5;241m.\u001b[39mnew_root()\n\u001b[0;32m---> 10\u001b[0m     end_value, end_node \u001b[38;5;241m=\u001b[39m  \u001b[43mtrace\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstart_node\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfun\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m end_node \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     12\u001b[0m         \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mvjp\u001b[39m(g): \u001b[38;5;28;01mreturn\u001b[39;00m vspace(x)\u001b[38;5;241m.\u001b[39mzeros()\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py:10\u001b[0m, in \u001b[0;36mtrace\u001b[0;34m(start_node, fun, x)\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m trace_stack\u001b[38;5;241m.\u001b[39mnew_trace() \u001b[38;5;28;01mas\u001b[39;00m t:\n\u001b[1;32m      9\u001b[0m     start_box \u001b[38;5;241m=\u001b[39m new_box(x, t, start_node)\n\u001b[0;32m---> 10\u001b[0m     end_box \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstart_box\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     11\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m isbox(end_box) \u001b[38;5;129;01mand\u001b[39;00m end_box\u001b[38;5;241m.\u001b[39m_trace \u001b[38;5;241m==\u001b[39m start_box\u001b[38;5;241m.\u001b[39m_trace:\n\u001b[1;32m     12\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m end_box\u001b[38;5;241m.\u001b[39m_value, end_box\u001b[38;5;241m.\u001b[39m_node\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:15\u001b[0m, in \u001b[0;36munary_to_nary..nary_operator..nary_f..unary_f\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     14\u001b[0m     subargs \u001b[38;5;241m=\u001b[39m subvals(args, \u001b[38;5;28mzip\u001b[39m(argnum, x))\n\u001b[0;32m---> 15\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msubargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "Input \u001b[0;32mIn [22]\u001b[0m, in \u001b[0;36mf8\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mf8\u001b[39m(x): \u001b[38;5;66;03m# Assume x is an array\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m     x[\u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m3\u001b[39m\n\u001b[1;32m      5\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m x\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m\n",
       "\u001b[0;31mTypeError\u001b[0m: 'ArrayBox' object does not support item assignment"
      ]
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_123_1.png b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_123_1.png
index e251f6bf2..8d7f2cc1b 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_123_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_123_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_132_1.png b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_132_1.png
index d17d05102..7ccbd1ddc 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_132_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_132_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_148_1.png b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_148_1.png
index 080f91cdf..28a4321ed 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_148_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_148_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_188_0.png b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_188_0.png
index 8f75d66ca..c8dbe4ea0 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_188_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_188_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_61_2.png b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_61_2.png
index e41281b5a..c5f37a043 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_61_2.png and b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_61_2.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_63_0.png b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_63_0.png
index 9a11d2377..6c46b1b9d 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_63_0.png and b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_63_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_69_1.png b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_69_1.png
index 73667a769..b4ae90113 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_69_1.png and b/doc/LectureNotes/_build/jupyter_execute/chapteroptimization_69_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/clustering.ipynb b/doc/LectureNotes/_build/jupyter_execute/clustering.ipynb
index 02bf4223d..ea4fe7c2f 100644
--- a/doc/LectureNotes/_build/jupyter_execute/clustering.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/clustering.ipynb
@@ -283,11 +283,25 @@
    },
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/jax/_src/lib/__init__.py:33: UserWarning: JAX on Mac ARM machines is experimental and minimally tested. Please see https://github.com/google/jax/issues/5501 in the event of problems.\n",
-      "  warnings.warn(\"JAX on Mac ARM machines is experimental and minimally tested. \"\n"
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'flatbuffers'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Input \u001b[0;32mIn [1]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtime\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mtf\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m image\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/__init__.py:51\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     49\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m autograph\n\u001b[1;32m     50\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m bitwise\n\u001b[0;32m---> 51\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compat\n\u001b[1;32m     52\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config\n\u001b[1;32m     53\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m data\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/__init__.py:37\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Compatibility functions.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \n\u001b[1;32m      5\u001b[0m \u001b[38;5;124;03mThe `tf.compat` module contains two sets of compatibility functions.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     32\u001b[0m \n\u001b[1;32m     33\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     35\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m---> 37\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v1\n\u001b[1;32m     38\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v2\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m forward_compatibility_horizon\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/__init__.py:30\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m autograph\n\u001b[1;32m     29\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m bitwise\n\u001b[0;32m---> 30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compat\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config\n\u001b[1;32m     32\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m data\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/compat/__init__.py:37\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Compatibility functions.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \n\u001b[1;32m      5\u001b[0m \u001b[38;5;124;03mThe `tf.compat` module contains two sets of compatibility functions.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     32\u001b[0m \n\u001b[1;32m     33\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     35\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m---> 37\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v1\n\u001b[1;32m     38\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m v2\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m forward_compatibility_horizon\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/compat/v1/__init__.py:47\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     45\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m layers\n\u001b[1;32m     46\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m linalg\n\u001b[0;32m---> 47\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lite\n\u001b[1;32m     48\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m logging\n\u001b[1;32m     49\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_api\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcompat\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mv1\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lookup\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/lite/__init__.py:9\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m constants\n\u001b[0;32m----> 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m experimental\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Interpreter\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m OpHint\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/lite/experimental/__init__.py:8\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Public API for tf.lite.experimental namespace.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m authoring\n\u001b[1;32m      9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01manalyzer\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m ModelAnalyzer \u001b[38;5;28;01mas\u001b[39;00m Analyzer\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m OpResolverType\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/_api/v2/compat/v1/lite/experimental/authoring/__init__.py:8\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;124;03m\"\"\"Public API for tf.lite.experimental.authoring namespace.\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msys\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01m_sys\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mauthoring\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mauthoring\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m compatible\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/lite/python/authoring/authoring.py:43\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mfunctools\u001b[39;00m\n\u001b[1;32m     42\u001b[0m \u001b[38;5;66;03m# pylint: disable=g-import-not-at-top\u001b[39;00m\n\u001b[0;32m---> 43\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m convert\n\u001b[1;32m     44\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lite\n\u001b[1;32m     45\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m converter_error_data_pb2\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/lite/python/convert.py:29\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\n\u001b[1;32m     28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m lite_constants\n\u001b[0;32m---> 29\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m util\n\u001b[1;32m     30\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m wrap_toco\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mlite\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpython\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mconvert_phase\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Component\n",
+      "File \u001b[0;32m~/miniforge3/envs/myenv/lib/python3.9/site-packages/tensorflow/lite/python/util.py:26\u001b[0m, in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m     23\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\n\u001b[1;32m     24\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msix\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmoves\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;28mrange\u001b[39m\n\u001b[0;32m---> 26\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mflatbuffers\u001b[39;00m\n\u001b[1;32m     27\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprotobuf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m config_pb2 \u001b[38;5;28;01mas\u001b[39;00m _config_pb2\n\u001b[1;32m     28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mprotobuf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m graph_debug_info_pb2\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'flatbuffers'"
      ]
     }
    ],
@@ -324,23 +338,7 @@
     "collapsed": false,
     "editable": true
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "filenames": {
-       "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/clustering_17_0.png"
-      },
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "def gaussian_points(dim=2, n_points=1000, mean_vector=np.array([0, 0]),\n",
     "                    sample_variance=1):\n",
@@ -458,23 +456,7 @@
     "collapsed": false,
     "editable": true
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAEICAYAAABCnX+uAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOz9ebAkWXbeB/6u7x57vD1f7lmZWVt3VfUGNIAmFgIYcjgAuA5FmUAZQY3BOGZDyUTJKMqMHG7gaLRxyOFopMFQIoeLSHBAihAhDQEQQDe6AXR3dXVVZ61ZVbm/fYvdd793/jj+Xi6Va1VWVWZXfGbPMl+Eh/sNjxfHj3/nO99RxhimmGKKKaZ4fGF93AuYYoopppjig2EayKeYYoopHnNMA/kUU0wxxWOOaSCfYooppnjMMQ3kU0wxxRSPOaaBfIopppjiMcc0kH+MUEqNlVKnPu51fBRQSh2r3q/9MRz755RSO0qpjYe4z9+jlDr/sPb3ScW9zqNS6u8rpX7uo1zT44hpIP8IoJS6rJSKq0C2/7NsjGkYYy6+j/39sFJq5T62+7xS6peVUj2lVF8p9YZS6m8opbrv7528fxhjrlbvt/woj6uUOgr8R8Azxpil2zz/w0opXX0mI6XUeaXUz9xrv8aYrxpjnrzPNdzX5/WwX3vDPg4ppf57pdR69R7fUkr9VaVU/YPst9q3UUqdfr+vf5DzOMWdMQ3kHx1+sgpk+z9rd9v4g2auSqnvB74M/DbwlDGmA/x+oACev8NrnA9yzEcUx4FdY8zWXbZZM8Y0gBbwnwD/b6XUMx/J6j5kKKVmgN8FQuD7jDFN4MeBDvDER3D878a/qUcPxpjpz4f8A1wGfuw2jxvgdPX/vw/8t8D/CkyAHwP+APAGMAJWgf8YqAMxoIFx9bN8m31/Dfg791jXn0IC/f8N2AN+DmgD/wDYBq4AfxGwqu3/CvCPbnj9ieo9ONXvXwb+M+CbwAD4JWDmLtv+9er4I+BXgbkb9v3vVsffBf7Snc5hte1t11ydwxvP1d+/zWt/GFi55bFt4I8BPvC3gLXq528B/u1eV63vPwbOVe/9F4DgTp8X8D3At4AhsAn8zdus7U6vveO6brOPnwNe3f8M77DNU8CvVX8D54E/fsNzfx/4b4D/pfqcvgE8UT33W9VnOqnW9m/tnxfkgrgB/MMHPI+fAb5dHesXgH8K/Fz13Bzwy0C/WutX7/a+Pkk/H/sCPgk/dwpCvDeQD4AfqIJQAKwDv6d6vgt8tvr/TX/8t9lvHSiBH77Huv4UkqH/WcBBsrZ/gATgJhJ83wb+vWr7v8K9A/kq8KlqDf98f/s7bHsBOFsd98vA/7V67pkqMHwJ8ID/Cshvdw6r7e+25nudq4Pnq/P+h6tjPQn8NeDrwAIwD/wO8Ndvt9/qM/4mEmhngDeBP3OnNSBZ8p+s/t8Avniv9d3w2B3XdZvXfx34q/f4W7kG/Ez1N/BZYAd49oa/yz3kwuMA/xj4p7f7G75hvQXwnyMBPLzf81h91leA/xBwkYtpzvVA/p8B/131nAv8HkB93N/vR+FnSq18dPiXFU/dV0r9yzts80vGmN82xmhjTIL8ET+jlGoZY3rGmG/f57G6SFA6KO4ppf6L6tgTpdRfvGHbNWPM3zHGFECGZFX/qTFmZIy5DPzXwJ98gPf5D40xrxljJkgm/cfvQhP9PWPM28aYGPhnwAvV438M+FfGmK8ZYzLg/4wEjPeg2vcHXfOyUqqPBLC/jATY88C/A/w1Y8yWMWYb+Kv32O//3RizZozZA/7VDe/ndsiB00qpOWPM2Bjz9QdY74OsaxZJCO6EnwAuG2P+njGmqP7G/jnyGezjXxhjvln9jfxj7v6+QO4g/rIxJq0+2/td7xeRAP23jDG5MeYXgRdveD4HDgHHq+e/aqoI/0nHNJB/dPhDxphO9fOH7rDNtVt+/6MIvXJFKfUVpdT33eexesiX6dD+A8aYP2+EJ/+fkMzqdsec43pWtI8rwOH7PO6t+7uCfDHn7rDtjSqSCMlMQbLag/0YYyKEYrkdHsaa16rPZcYY84Ix5p/esI5b97t8l/3c6f3cDv8ecjfyllLqRaXUTzzAeh9kXbvc8HdwGxwHvveGJKOPBN4bC8MP8r4AtqtE5EHXuwys3hKcb3zdfwm8C/yqUuqiUuov3GMdnxhMA/mjhZuyC2PMi8aYP4jckv5LJGt9z3bv2Ylkw98A/sgDHnMHyXqO3/DYMYQuAeFCazc89x4VCHD0ltfm1X4fBOvAkf1flFIhklneDvda8wfB2m32e9ci9R3wns/LGPOOMebfRj7b/xz4xTuoSG73WT/Iuv4N8IeVUnf6rl8DvnJDktExUoz/P97pzdwHbl3z/a53HTislFK3bCs7lTuu/8gYcwr4SeDPKaV+9AOs87sG00D+iEIp5Sml/h2lVNsYkyNFsX3p3iYwq5Rq32UXfx7400qpv6CUWqj2eQQ4eacXGJEG/jPgbyilmkqp48CfA/5RtckrwA9WmvA28J/eZjc/rZR6RilVQ7jRXzQPLjn8ReAnlVLfr5TykFtxdbsN72PNHwT/BPiLSql5pdQcQvG8n/2+5/NSSv20UmreGKOR4h1c/3zv+toHXNffRNQ4/5/q3KCUOqyU+ptKqeeQ4uFZpdSfVEq51c8XlFJPP8B7u1cvxP2u93cRfv3fV0o5Sqk/gnDzVOv+CaXU6SrQ738fPlI566OKaSB/tPEngctKqSHwZ4CfBjDGvIV8OS5Wt8PvuU01xnwN+L3ADwJvV7fM/xopKv6duxzzzyKZ90VE+fI/Av9Dtc9fQ5QE54CXkCBwK/4hUiDbQAq2//4DvN/9tb9ereOfIlnaCNgC0gdd8wfEzyHKknOI8uPb1WMPhDt8Xr8feF0pNQb+NvAnbqEj7vba+15Xxdd/P3LX8g2l1Aj4daSw/q4xZgT8b4A/gWTJG1wvVN4P/gpykegrpf74Hba5r/VW9ZA/ghThe0jt41/csMkZ5A5jjAT9/6cx5sv3uc7vaqhprWCKhwWl1JcRlcrffcj7bSBZ6xljzKWHue8ppvhuwDQjn+KRhFLqJ5VStYo3/q+QTO7yx7uqKaZ4NDEN5FM8qviDXG8gOYNQD9PbxymmuA2m1MoUU0wxxWOOaUY+xRRTTPGY42MxtJmbmzMnTpz4OA49xRRTTPHY4qWXXtoxxszf+vjHEshPnDjBt771rY/j0FNMMcUUjy2UUldu9/iUWpliiimmeMwxDeRTTDHFFI85poF8iimmmOIxxzSQTzHFFFM85pgG8immmGKKxxzTeXpTTPEIoR9lXNqZMIxzWqHLybk6nZr3cS9rikcc04x8iikeEfSjjJev9sgKTbfmkRWal6/26EfZx720KR5xTAP5FFM8Iri0M6HmOdQ8B6XUwf8v7Uw+7qVN8YhjGsinmOIRwTDOCd2bx5uGrs0wzj+mFU3xuGAayKeY4hFBK3SJ85sH3sR5SSt0P6YVTfG4YBrIp5jiEcHJuTpRVhBlBcaYg/+fnLvdKM8ppriOaSCfYopHBJ2ax2eOdfEci16U4TkWnznWnapWprgnHor8UCn1HwL/B2R69qvAz9xu/uAUU0xxd0gwnwbuKR4MHzgjV0odRgbsft4Y8ynARga5TjHFFFNM8RHgYTUEOUColMqBGjKea4oppviIMG0k+mTjA2fkxphVZDjuVWAdGBhjfvWD7neKKaa4P0wbiab4wBm5UqqLDMo9CfSB/69S6qeNMf/olu1+FvhZgGPHjn3Qw04xxRQVbmwkAg7+vbQzeV98+6OS3T8q63gc8DBUKz8GXDLGbBtjcuBfAN9/60bGmJ83xnzeGPP5+fn3TCqaYoop3iceZiPRR53d7x/vK+e3bjrO9C7jwfAwOPKrwBeVUjUgBn4UmM5xm2KKjwj7jUT7mTjcu5HoTtnurdl9qQ2r/ZiLOxM+e6z7vrLiOx1rP1jXPIduzSPOS16+2uMzx7oP/S7jux0PgyP/BvCLwLcR6aEF/PwH3e8UU0xxf3jQRqIbs13HUry+OuAf/M5lfuvtLdb68UF2P0pyzm+MsFBY8L6y4rtl1nfzlpnaFTwYHopqxRjzl4G//DD2NcUUn3Q8KDe830h0aWdCL8pohS5PLt25kWg/gJba8PbmiMC1mWv4XN2LSPKSwLFZaAWs9WMC1wYMzcC9Z1Z8u3XfLbMexjndW9YYuvbBe3jQu4xPMqZ+5FNM8QjhbnTDvYP5/QXX/QC6H8QD18EYwzApODnb4NLuhEbgME4KPEeRFprjs5Ld7wfa+113lJUc7dZu2vZ+gvXJuTovX+0dbB/nJVFW8ORS957n75NYIJ226E8xxSOEh2lleydaQykJmOO0wHeEvkgLTcO3mW/6HGoHeI6FRqMNPLnUohlIJnynrPhO6x4nxR2NwE7O1dkaJXxnpcdLl/f4zkqPrVFyEHwf1K7gk1wgnWbkjxuiPdi7AMkAgjbMPAG1mY97VVPcJ+6VMd6NbnhQ3InWSAvJbrOi5J3NmLgw2Aq+9+QscV6y3An5TFXYfPlqD9tSGGPumhXfuO5RkrPWjxklOZOsoObbLDSD22bWCsCAwYBR8nuF291l3O38fZILpNOM/HFCtAer34Iig3BG/l39ljz+MeNOMrIpruN+MsaHaWV7p4KhMXBqvkFaaHYnKYGrWG4HXNgZH2TEcG8Trxs/841BwvYorQqkQ/JS4zs2nZqHQi4et+7j0s6E+WbA80e7fP7ELM8f7TLfDO5493Gv8/dJLpBOM/LHCXsXwK2DV3GO+//uXfhQs/J7ZZHvl9f9pOF+MsYbueGi1FzanbA3TnnhWJd+lD3Q+bwbB703yfiek7N87vgMa/2YcVrQdBXt6oLx8tXeXXnmWz/zojS8tton9G0ankOUlaz1Y2Yb/sFafujJhZv28aB3H/c6f5/kAuk0I3+ckAzADW9+zA3l8Q8J95NFfpJGlH2QO4/7yRj3s+C0KHnpSg8MfO74DL5j3/F4d1rT3WSJt1uL71hsDpP74plv/cwXWgGfOtxhYxDTj4VaWe6ELLUCLBSvXO2/Zx8Pevdxr/P3SfZznwbyxwXRHgzX4PJXYesNSIbyeB4LV/4h4X6C9ON2S/t+g/EHLabdb+Dq1Dyagcv3nhK6oRV6d7w43m1Nd6NGWqHL9ijl/MaQQZzTm2S8stLnK29tM4yLe16Ub/eZzzd9DnfrtEKX0wtNZuo+SimUgpm69559PGjgvdf5+yT7uU+plccB+9x4fQHSMSQjiF+HmZNg2bDw9Id26Pu5/X2cbmk/CA30QYtpDyKpu1/a4V5rupMs8eRcnZeu9MiKkr1xiqUsQtch9TXfvLjNIM7QRtHwbQ61A5JbAuidPvMzCw1eudpjruFjjATUtUHMbN3j21d7N9E0D6p/v5/z90n1c59m5I8D9rnx5iIsPgtBE8oCJttw+PMfKj9+P1nk43RL+0FooA965/EgGeP9Zu9r/ZiruxNeutLj/MaQUZLf15o6NY9D7YAoKykMhJ7Didk6szWXtUHCxiChFTjkpeHc6gClbn79nT7z5450eOFYF21gc5SwNohZbod0Qg/fsd5zB7N/Tn7oyYX71Mp/MjPue2GakT8OSAaiUgEIWhA8A/MG4r0PXXp4cq7Oq+9cop5co6bHRFaDLDjKk2dOHmzzoJnVR4E7FWg/iLzvQe887rSGh5W996OM9UGCo6AVeqSF5vzGiGMzNWYa9z7GcidkpRdxaq6BqiJ1VhpCzyY6uIgYFOY9r73bZ/7ckY54tPRi2oGDUhZJXvLkUhPbUg/UGXrr39AnNeO+F6aB/HFA0BYu3LuhQ+5D5sb30WHMZ6wLrCmLnmnSVDmfsS7QYB64fhF5lL5gd6NPPggNdK/gemMgUkoy+Plm8L6UPPdzcby0M+HkbJ2rexPSosR3bNK84NLumM+dOHpf7+elKz2GcXZwIcgKzdNLbbLSMExyGr7DybkG72yNMYabAuydPvPrax9jYdEIFMdnmzQDl2Gc8dra4IEMtKYZ970xDeSPA2aeEI4cRKWSx5BPPlRu/AB7F2g025ydveEikkUfuuTxg+BuvPH7bf2GuwfXWwPRudU+4yQ/KPi9n+aUGwPl9YtE/6ZW+/mmT+jZrPVjhklO3Xeo+c59Xyx+/JlFfu2NDbbHKTM1l+OzdbTRfO7EDM3AZX0Q89V3tlFAy3coSkM/yu6TBpkhK/TBex8lOa+u9mkE7j3dDvcz+ks7Yz5zbOYT02r/fjEN5I8DajPChe9dEDolaEsQ/ygC6Y20zj7cUNbxiOJu9MkHpYHulIXeGoiKElqBy1o/5skl96Y13A23oxeA22artqWI85Jm4B4cI8oKPOf+S1/HZ+v8sc8dPTjmYjtgGOfYlmIYZ3z1nW10qXlquU2h4epexLGZWnVR5K5UyK0XzYvbYwzqgMq5MVgbFE8tNgEOmop8x8LCOlDiTLPzO2MayB8X1GY+ngw4aMN4UwJ3Oga/IYG9PnfTZg/brOiD7O9e9Mn7oYEetLW+4dtkhWacFgePbY9SdsYpXzm/9UCNVbalbnuHsd9qDw9+d3Ejbj0f++/1tbUBCnhquU3Dv0497U1SdicpL13pUWrNTNUQ1I8yTs032JtkB+dp//delJGVJc8dbtMM3PcEa8dRvLra57kj3RtcFxWN4P3dzXzSMA3kjzP2fVf6K5CNwG9C+8jD9V8JZ+HdX4egA35L9Ov9a/DpP36wyQfhNx8kA73fjOyD0Cd3WuO91nPrxWO5E/KdlT5NX5wFt0cpr632+dThznv2ARKkXr66h2fbnJpvME4L1voxu5OUzUHKjz59c1dk6NokefmhFJn3A/taP6Y3ybiwPaYdeMw3fWqezdW9Cf04Y6EZkOaa9cEI2xpxer7Bhe0xn77hPV7cHt+kXd8bZ7y7vcdLV/YoS1ho+Zycq3NqrsF3Vvpc3B4ftPenRcnx2ebB+30/fjOfFEwD+eOKfW15PIDVl6BIwfWhLCHuPTxZYrwLh16Qf9ORSB+7J+R3TgEPpq++tSA4iHMWbikI3ikDvd+M7GGraO7Oucu/a/2Y9UHMydkGgWtxaXfCMMnxHcW1XsQ4KfjU4Q4LreCmfZxb6VNqQ81zsLBI8oJ/8fI1dicZdcdhuRMwyYqDbPVGF0Kl7k5t7J/rtX7MOCloBA7LnfC+7m72FTE1zybJCuKs4PJuwUzNpR/nYBRvrQ8PtOaeY/G1d7c5s9C84+c2U/f4ldfWGSYFZWlwbMXVvQkN3+H0QpPnDrc5vznEoNAYnlxq3tN1cQrBNJA/6riT2+HeBdAlrL0MlgPNDiQTCeqnfujhFSOTATQWRMO+D2Nu4sjvV9L3noLgSp9RWjB7S0HwtbUBXzg+c8/93Q0PU0Vzp/d3rRfRjzJqnsPRbo3AsXljfUiUFRzuhHzpiTkc2zqgPwLX4vzGkHFa0PAdDrUD3tka86nltgRyC97dmLCyF+M5irBmc3Uvwndt3lof8a3LuwSeQ913mKsHzDZcPMdmGBUMkoys1Bzthiy2QpqBwyDOqbkOl3cm7E0y4qxgsR3ytXe2WWwFGAONwKEZyHm/UZVyaWfCfMPn3Ip4isdZxiDOuWwpTszVuLYb4zo2rVAKoMMkZxDnFNq85zztf257k4yZhkdWGFaSEo1hJvQO7j6OztQOCpv367o4hWAayB9lRHtw8Tch7kOZg+1C/yqc+hEJsNEumFK05Sjw65KNRztgP6SP9j6kj/cr6XtPQVAb2rcpCCrMI9Upeqf3N04K5hr+weOhZzNOc+KsJHDtg4vTOCl46cou46RktuFzuBOSl5pXV/sUmpuajHZGGf0oJy9LBlGJYxl818GxFFFWMGfbjKKcYVxwrWdxdqFJP87Jcs1qf0JeaDCw2jeUWmxit4YJzcBFAec3hoSezUY/5sxik51xyjDJidKCQ50Qx7L42js79KMMYwwzDQ/bytkepQSuzemFBllhmKQFTUtRlKZam8YYcKybO4du/NyGcU5RgGWp6tgJSimu7EyIMgnmLxzrADxyfQmPOqaB/FHG2svQuwZhB4Ka0Ce9a/J40IbN1+XfIgfHgzKT3yd7MP/kw1nDzBNw4Tch6V+/mAQdeOJHDja5X076vQVBh6woGafXOxjjvOT0QpMoKxgnBXuTlL0ow7YsfvyZRT4O3On9NQLnPfMt01zj2Yq81JzfGHK4W2Nlb0KUloSeTVkaLu+MOdSpYVDUPevgIjFOS7KyJM1LlFJ4NkS5ZpgktEOX47MNjs/WyYqSb1/tMV+NZ1toBuxGKYU2XNgaSzExLXhmqcXXL+5ytBviOTY74xTLUmBgEBc4ts2b6302hzGH2yFKxSgURSlF2m7NYxDlWJbiqaUWWWFI8pIk1ySFpogyAs8mzjSWsjiz2KQRuERZcdu/g1boMkgyLBSN0MFzLFZ6E3pJTqvm8rnjXRzbOqgd7NcPprg3poH8o8L7GQixfV62dYVXxQ3AtOXx5/8EXPiytOmPt+U5vw2tw2Bbsv+HtSZ199/vl5O+XUHw3EqPRuDedAv9mWNdBnHOr72xQalhpuYxU/e5uD2mHbofeWZ2p/d3aWdy8H72lRY1TwJ74IqV66++sYnvWESZ5uR8gyjVDJKMfpTxxVOz9OP84KJ1cXskma9n0wpcmoFLMkzICk2caeabYglbGMMwzsjLEse2qHs2K7sRRSHt9lujhL1JxomZGuO0YGOYoA2s9SNC12EtycgKQ1SU7AwTAs/GdS3e2Rzz7HIbx7Z4a2PMKC3IS4jznBMzDSwLtFEsND2eXGzw9taYYZxzer5Ou+bhOTY//swie5OMtzaGvLUxYBCXfPWdLT5/YpZnl9tYlmKSFbiFwlKGONPM1Fxc22Z9kLDcCQ8sE6YKlfvHNJB/FNgvTLp1ke7lsfx+r4JkHsFoU/4tYnBCcGtScARoLsjztRnIE0iHYJbg7B+490Xidmu6+JuSbWOuB/a9C9BYgplT1197Q0PQraqT54927tv0yLYUR7o1WqFLL8pQCmxL8Z1rfTYGCSdnGwfFQRCN9I1f8DspXh72zMY7SQ9PznHwfvbnWzZ8B5RI9Nb6EbujmCfmm/gNj7V+wpmFJsdnawyTHMe2WO6EzNQ9/udXVtkapmRFietaFKUhKQqKssS2NL7rstKL8WyLrVHMqArQnm2xNUyxFLiWxUI7QGuFrRSvrg1AGcZJjm1bDOKcKCuJ0oK81IzSjCjVNAKHwLXZGqX0LuzgWgqFwbE8kixna5gCCmUUZxfrLHdrRFnBmYUmcVHy7vaEozOaP/rZo7RDlzfWhnzl/BZFqTncDbGVzW+8tcUwznnucIdrvQlbw5QkLymN5minRrfukpeG8xsjzi423mPSNcXdMQ3kHwXez0CIaE+qT5MtyGJwXEjG4IWi5V57GWZOQ+cEDFdE4205oiiZPXXzfu5ULL1xTboQ2iboyzbr54RSwYIjn795bVVD0IPKDm+X2X7pzPxNnZFaSxD89tU96p7Dpw93KI1hnJbUPYua7/CZasjC/rEdS/H66oBffX2DmufwzKEW803/A8sg76d1fP/9yHxLmxeOdRknBb/2xjo7kwwsC9+1KbTh6taIUZLzzKFmlbEL7XBupY9rKz51uH0w9KEfZXiuyzPLHVb6ETXXxhjNlZ0JV3sxrqPwHAsLxVo/ohm4HKqyWW00h9oh13oTPnN0hmu9CTvjjEPtkPVBTG4MJeCi0MDOOGV3nLHYCsjyAmybQmsGSc4kLal5NmmuwRh2JilpXtIMPPkMA4fZmsf3PTHH5d0JV3YnvLoyxLYUnuPSmxQsdVxmQp9LOxN+4HTImYUmzx/pcnV3gu/IuZlvhZV2HC7tTnh2+cO3n/huwjSQfxS4n+7IWwNuMoSlT8FoTbhpFDgOOIE8vn0ejn0RlBITLXiPmuQg69alFEY3X4dr34Sz/9v3rmm4Uh23D9tvSvZfm4feJVh7BQ5/piqqclDsfD+2rnfrjNQaru5NCFybpVbItV7EP3nxKqcXGsw3PKLMxkuKg6Bb8xxKbQ6mwWNgEKVc3ZsQevaBdO1+svg7Bev7tYk9OVfna+9s89pan8vbE4aJKFfaocdrq32Oz9Z5Yr7Old2Ib1/t8+xyi27l0X1uZcBMzaXhe4zSAgPMNz3yUlMLbF44KrrslV7E62tDXFvhOzaH2iGlNqSFJi8NncCj4TtYCsZZTl4aljsBTx9q8c3Lu1gokrxERZk08CQiAVXIrMykKNEG3Iqb39kY0go9Fls+llIURcn6IOE71/q0QxdtNL1RiW0ZVvsRSa6peTaTLMdSUvzdbxRabPnsjFKMuV7I3BwmHJ0J2RlnrPYjysJg2aCU4ieeW77z92mK92AayN8PHpTvvpfy47bUy0tw5HugfQzqsTzmhhJgG4sSYO+0z/31XXtRMu0yh9qs+JknA3j7f4X5p29+fTqW7XbfkcaisCOBvFYVnHbfheXP3OTzMrx2/06C99MZuTcRZUTgOjR8h9W9CaUBrQ1xVrI9SvniE3MH++nWvIMgHrgOhTZYyiJw7QMlzI3rud/OyVtbx490Qq7tRTfJBm9362+A3XGG59jUfbnIFNpwfLZOWmgsS3Fkpkbdd2jXPI52a8R5yWovInAazDYCnlxscW0vYqUXUZSGxWbAcjvg0k4EQN2zCWyLwHNohR55WdIOXfaijNxoTi/UWe0n2BY8c6jJJC3YHqUoINMaZVnUPIes1DQwhFURtCw1tqUILIWy1MFQ5FbgYFkWc3WPJC0Zphm7k4QXL+2SFCWNwOH4TIPfenubJC9Z6oQoA2lh8BxRtMS5Jko19cChVdU49i+se+OMKCsZJQUGQ15At/bgYelhdxY/bpgG8gfF++G772V6dTvqpTYrjzcXRJXiBsKDO660zBsFV35btpt5QtQk+QSah66vT1mSieexBGalqpb7bTlOPrm+piKF7beuq1LiEWy+Ja34c2dF1niLz0sr7JGNd+nE17CzAaXXph8epVWfuWPjj2MpXl8b8NW3t3jhWJfnjnQOuv7e2hgy3xBOfJIVNEJPbufHKQawFLy9McK2FM3A4dxKn7c2hszWfeZbAa6tAMlWh4n4cd8of7tTdn2jbn2U5PzuhV1W9iL6cUboOnzL7PL5k7P4jsWF7THfvLTLU4eanJirH7SjbwwS5ho+h9o1WoEUOt/ZGrK6F/HEQp1BUnB8poZlKVxLkZUcyBOX2iHfutJjqRXQDh0WWj6dusuzyy0macm/fnWNrDREackoK9mdxBxp1chKl72x8N+zdZc0K/nXr61TlgbbsTjardGPc7SGZiAdpr6t2I4zUIqwonxybXAsC1uBpSx8x6b0DHI2FXFSMFCKmmdRaljZiykxKKXIc/EdDxybQZKTFiVnF9vs7oojYzNwwCj24pTPH+/e5FG/775Yq+7A0kKT5OWBl8v9FjunzonTwRIPjhuDrlLyr1uXx++EfdMrx5Ng6Hg3B/7bzeKceUKCcDgjxc64L/9aHqx/R6YDHfke2Xblm1Akwplf+RpsvQn9yxLIiwS8hnDtIAG7PgOYm9dku9A6Ihn/zjuw/jJMduQ95pGoY9LR9fVFezwxepHu638ftfkdNA5pGuGsv8ScPblp/NjV3YiVXswgynl7c4ytLOYaPld3o4NBAyfn6tiWxTAW/XI/yql7DnPNgLrvMN8IWGwF9OKMS9tj1vpS8Gv6LlGa887GCNuyaPgOwzij7tnvGXBxp8EQ+7p1gHMrA95c75PrkoWWD8aw0ot4c33A5Z0xZeXXPUoK/uW3V9gbZ3RrHv0448reBEsJ1QEQODbb44TzGyMcS/HkUgtjAKQbEuTCYVscXOxeXxvy4uU9AsfiuSMdLm2P2Z5k9OIcg6bu2xgNa8OUtb0IbQx11+bUXJN23SXONSWw1AooSs3WKGMQZ0yyklMLTb731Cztmk9ayF2OMdDwbEpt6EU5WSnF0J1ximvb1Z2HodRyR5GVmvl2SCvwqLk2jqMYpzmrg4goyVkfJOxFKfNND0tBL85pBBa/96kFvu+JOc6t9Pnvv3aR/+FrFzi30sexYGeS8e2re6z1Iw53Quab/gONCfwkzYy9Ex5KRq6U6gB/F/gUcof5p40xv/sw9v3I4f26Ad7N9Op21IvtwuHPCS+dJ9e9VNKRtMzvd1oe/qyoSIoE9t6FqA/1eSgyCd79FYkSTiBeKcqC5kk55q1rymK48BvQu4Jw8r4UVaM94eWziez3wm+Cglbcx14+zs4kI9t8A2/xGY4dXmR1/W1qM8/f1PjjWopfe2Oduu/RqTnMNXyKqjV93172cCfkK29v4dkWnmNxfLbG+Y0RS+2Awmiu7cQkeYmjLDzH5vkjHd7dGkmTi2tT8yxsS/HW5ogj3RqL7eBAi/zy1R7vbo/xHYtTcw0Azl0b8J3VHkle8s7miC+emuf11T6+Y+FaNjP1gKxIONINeXtzzGePd2n7DkebNa7sRhzpBPSijIVWwGzdZ1zdBfQmGZujBM9WPH2oxSQrqFeeK46lGCQ5zx/pAPCdlT6vrgxYHybM1ISPbvrOgbb+ws4YZWCc5IzTAltZdAKXXpyzOU45Nefw1FIblMGzLbQ2ZIWc170oY2eU0q25+I5F3XOYpCWzDY+NYcI4yWkGHt2aR83TrPYi9rTBtSxavotSsNi+/jnlhRhkBa7NYJITeg55WdIbF2CE11fK4srOBGXBQjPg3/r8sQNlzqsrfVZ6Ea3ABRQvXelxZTfi7EKDU8dmSIuS1X6Eban7Goyxjw8yLOS7BQ+LWvnbwL82xvwxpZQH1O71gscWH8aQhztRL/tZ+5EvXN/23X8DypEBzPtuhM3DsHMelp6HxqwEW1PCaAswMNoB25bM/MQPgHUbnXnQlgA+exp6lyGdiJyxzORf5cDqy1W2f014+tYydb9J3RmA24foZZj/Etl4j3DxeuZrKbjWi+hFBYe7NYoS3tkac2q+flOr+0zd4yefW+bSzoTVfoznWJyar6O14d3NEZ5j87njXVb7CZd3xnzqcJvPHJvh9EKTdzaHfOdan88en+Enn1s+aI0fxDkXt8fUPIenFpu8utrn6xd3ibKCdzZHBK7Fydk6gyTnN89vsTVMODxTY7EVEro2gWuhjYNni3ROKXWQpe433oySnElW8PbmENexOdQKcWzpxDy71OJQK2RrnPDytR41T8awyZpsfufdbQZRgVKGjUHM9ijhB88s4DmKcyt9hlFOVmqMkTb4LDd4jmK2FlAPbGqew5NLDcZpSW+SolDsTRJWejFaa1KtK7mhYakVsDmSTs44KwgdhzTXbGQJnm1zfLbO9jgl9GwcS6G14fJ2RCNwcCxwLZtJItJFy4JJUmKqbN2xFYWGuYZLO3TYGiTsjTN2RrKW9UFEt+az0PQJXAk7eaFp+Da7k4xu3a8GY5Rc2p3wuRP33wz0OM2M/bDwgQO5UqoF/CDwpwCMMRnw3Xsp/DCGPNyP3/h+AXPtFdi7LAHccqQVf/O8ZOxYknGnI6FCJtsShMO26M/zibT4116AtW/fXKjd7+Dsr8oatBbaxa0JrXP5K+A2YPYJOUbvmmTotiMXiDySfUc97OB5Xl7tU5Ri5xqlmqLUNGsyA1IBWV6wsidKh0Gc87ljXf7t3/cDXHr3/MFbPvbEk/wX/+Ov8vragDNLTQ53atQ9h36Uk1kcFDSbgYttW3z2+AzPH705AHz9wi4n5uoHX/LnjnT5yvktXlsbSCGxWyN0bGqeS5LnlGVA6FjYSnw+6p7Dej9ioeWT5MXB2LJjMzVGSY6yFOc3hgSuzRPzTbZGKa+uDujWHZSleHdrxDubI9KiZHOU8rljXdqByztbI95YHWA5inFW0PRtHKUYpwX/y6vr/MEXljm3MmC26fP21ojdcYZtgWtbFKUGz7DcCVFKYSnFfMNjrReJXWxhKApNbjRJVjCKc/pJXnH+NpOsxLIUudHY1YWpKA22JaPeTFYyTqSJqB44nGiE+LZDzbeJ0pytQcI4LxglBUVp0Fp60LKixHctBnFBPylQccGvvr7Js4fbjJOS1V6fHzp73cUxLzWhazPT8MnLkgvbIzDQrT9YAH7YbpePIx5GRn4K2Ab+nlLqeeAl4D8wxtxEUCmlfhb4WYBjx449hMN+THgYQx5uVb2Es+ImeDsVTLQn9MbqS1LYzDMYrUMSynbpBHbfhs6xSma4IZn4zrugcylWLj4tGfVkS/jvY1+8fhG6sVA7dxbe+TdgB0BS7W9HsvLROhz5XjBaArlJJTtP+nJB8VvQWiLOMqzxO+TmGfzmHFmheXNjSJLl7Ixzzl3tM9vwONQKsewS1wLPVvz0H/gSG1fevek0Xb1wnr/07/5+/k//j3/JXMMnqKxbG4GDMQ67k5RhnHFpd8JLl/d44WiHUZIfyA5D12Z7lPD0odbBPpuBy6F2yNubQ07O1bGUlIlcW5EWisV2gGspkjwnLRRgODlX59nDbdb6MTMNv2pY0by22if0bRqeAygsy+Jzx2foxRtsDVOOztS4tidWtAa5KHz17W3qvsNTS018z2a7agLazEsCWy4g4zTnN97aZq7h8vnjUrDbHaUkuaHmWgSuQzNwyUrNybm6uBFiWBnEpEXJOM0xSNekUuBYFkZr1noxzdCh6bsopdBaE3gWeaFJtCYtSmyliEtpLtJGKLEL2xOOzTYIPQfXcchNSpSXuJaFaxsMBmMU2sCVnQna6IresbmyO2FzmBK4FvXQZXUQc3bBrc65RVaU1D2bUsMT802M0WjDQx+L992OhxHIHeCzwJ81xnxDKfW3gb8A/KUbNzLG/Dzw8wCf//zn3zvN9XHC7fju+5Uk3qp6GW+K3/ehF8Rl8MbgCvL//jWRAka7Ih1UrmTCuoT6rBQ5i0SC/WgT0j4MNmQdy88LRx7twNZ5KFO4+GXAVIXMFK58A2aOw17FjYczUExEuaIzyCpp4upLojH3WmDZsi6MBPfJHky2GM98jnqzy+cafd52Frm6F3F5Z8wgzjk2U2O+0eBaP+btrTFfONHlqUMSIG8N4vt45/ybvHCsw9W9iGFS0PBtXjjaJc5Kru7J9PiZusfzRzsYA+c3Rgf2p3FeMt8M3nPb7TiKVs0nSgsagXzZ89JgjOHMYosvPjHL1y/ssj1KmG8GfPGJWY7P1m9S4uxFKSs9KdZ6js2nDrf4sacPMUxyaq7NLrA1zNidSAfj3jjDAJ5jEaYloeeSZJrNUULoWGgDiTZkZUkr8MjyAtvyeGtjRKkNS+2Q3UmGZYkCxXds1gcxR7shGMMXTs6S5YbfGCbV7E2xuQ0dKQB6jhR1DTDJ5HyM4pyk0Pi2Ta5K8sLgeArLQG40WsMkLTHGMI5T2oHNa2sD0rwQcyxL0Qo8KZzmeWWzIMd2HIsok39LCqLMsD1J0EVJlJbUXBuNwbUtkTF6LiCF4ieXWncd0nw7PEy3y8cRDyOQrwArxphvVL//IhLIPzl4EEnirVLDeK+S++1KAfPGrk+QbXUhAXf9ZSklu67IEfuXJTDXFmCyCWUB+UiULbYDRSTrCDry3HhDaJatN2Sd8R4EXRivV86Ju9A9CZuvghcIFZMlUkx1PAnoRSqUitZgcvE/t31ZTziD03uL0K9j8k2W51/gzfUBoWcf6KiTUpQXpdb044y3N0fcYpj3HkxS0UovNIODW2fLgqV2iGuLWZRSQlHUXZvVXsSx2TpRVvDFJ2a5uD0GoCj1Af8+W3fZHCYYY3Adm0GVye0H7eOz9fesYz9YvLrS5xe+eZWsLDnSrZGUmvObY9rhHt26hzFwpC0F0jjXOJZikpdgoFNzybXmwrbIKI02xLlkr1FWYCtF4DvUPZGylNrgWYpaw8MoiBLZJi81MzUfjVAUpTbEeUHd9zjShbVhgoPCKEhyeb7m2oyzQigQ26bmVzJM32KcG5QyJLlGAWkJdrVvBby7PeFaLyEr5NwbhEoZpZLZ20qcELOypNRArrFcG2VkH5ZRBJ7NKC0odckkM8w3A374yXm+8vYWb+z0GSYlrZqDbSmemL9zm/4nXTN+O3zgQG6M2VBKXVNKPWmMOQ/8KPDGB1/aY4QHacG/VfWSjoWWuFHa54bQvwLD9UoLviNUiVuH1hIM1iSgOoF0gNouDFbldVaVrbcPyz4Hq2AsCcxuTTLrZAijDdGWD6tsv0zldzsRdcxoC+JtyFJRrzg+mEI07elQsvnarHDjuqyy9pTQWAySIVYmEsHSSIPNUsvHdywmmdx2a2NY78esNWMc++6R/JWrfSwLdpopC62A5U7IUrvBL728wlzDpxW4pEUpTSwKNocJpxebB7fX7dDl3EqfV672mGn4fOn0HEmueemq2AyorOT0YpPf+/TibQP4rfj/vbZBrjUGRWFEJeJZFm9vjnhqqYkGHEtMwWqxzUovli7UUhOlJfVAagXjpGCm7rMzSYkyg1FiWevbFjM1j7rrsNQJKbRhe5jgAq5jgREb2Zm6x/Y4o+7afGelz4XtMXvjmLQ0lHlJgXDetgWh7zHJcnSp8R1FoTVRkTNfDylLjcFGuYp+lJEV4Mph2LcXL0soyv0sX6GUhWVDXHmtNwKHuu8yjjPSUlMag9GQIRcCY2Cu5dOtuXRrAbMND8dSrPRijJHnj87UwIiD4+4k43PHb+a4+1FWfY59ZuoysejaXsRX397mhWOdg56EW19zp6D/3XRBeFiqlT8L/ONKsXIR+JmHtN/HAw8iSbxV9eI3JLDuG2EBjLdguCaBGgvCrihJZk6Jw6G1ARhwm1BGEqB1DpmW4Frm8tosEhomaAmP3W4IHZLFQsWUu9KaP3NGAvSRz8HoTUm3lJHM3sqva9zzVIK5Ri4M2UTuFrKJqGKMwXZDatuvMmic4c14wPYwJck1nZrLXCOgWZS80p/Qi3JagcdqLxL+ePEEk83L7zldneWTpGXJ2dkmGslcZ+oeX7+wy844I8k1y10pgvqOmGrZyuLlq3uMkvzgy90MXL731NwBxdIK4YfOLuA51n3bpe5/8b91eZdJnDPXCmj44vXSm6RE45Jm2OXUvDS6tEObUQL9SYalJKD24pzCGAJHkZclNd/ls0e7rA9jBrH4kDcDadQZphlmCHMNj7w0rPUjkqzA8T2avsNiy2d9kPDVd7ZJC43n2MzUXcapZpTkJHmJ60iD1CQtsSyL2bqHsix6cYpnKSZpTt13WKrXsJQ4E5ZGuPW0EKPLfR5UA76tyAuD5xocpRiVEvRtS3GoFbCpRI0yTHIUBsuyUMgFwUJTlpqdcYKlYBBnfPn8FmcWmji2jULhuhZ+qdmb3H4oyWo/Zq4hPjpfOb/FEwtN6UnYiyi1uYlXv1ujEHywcYKPGh5KIDfGvAJ8/l7bfdfiQSSJt6pewhkJrt0TkpbksejBZ56QTPfKbwuN4TWl4FiblbmcfltUKVkpKpY8kSzda0g3qNHCqbcPyWscTy4OxkgWbgzYYUW7xJD1pQ3frUHY4of+L1/mty6lB8v+kZMWv/GnFwElQd5tiCNjnoASnxOMxq3PkVkhauNVnKUfpRU0aAUOFzYnVban6UU57cBlpunyztaETt3hT//Xv8jf/XN/lHjrysExO8sn+bP/zS/hOxabw5jdSUaUFby2OsBzbM4sNHh3e8w7G0OWuyGXties9CK+9+Qs28OMt9bX+M61AT/1wvJ7tMajJGe1F7E5TADumY3dGBTqvsMoLQ48vW3Loqyi3XxDOPVJVnB5J6JT9+iGDmlpiLKCmdClVRP+vigL5hs+i+2QuZbPej9hfRgzSgo+c6wjA6CGMRe3ZDCEa1sYBYM0o8Dhxcs9ujWPUgt9kZaaKCsJHJszi002hwnDJCcvDGlRIjVZm6woaHouozSjsAwzdY+FKjj6roPWhQyKAELHwlKQlRpLyd2VpcBzbIrC4NnSIdvyPVqBg9YB68NIise5xlaG2ZqH41gME7HZfWN9yN44oxE4JHnBNy7tMFP3yEpDw3eZb7gYA+eu9WkG1ycW1TyHooRWYLM1Smj4DqNEPtdhUrzH/vZuPjn7v7/fcYKPGpQxH33d8fOf/7z51re+9ZEf90PDjRz57XTgt9v+dqqVwYrQIVtvSgt+2heaw/YkS994TYqX8Uh47dG6WMwqW143WgOvXnVoukKfzJ2W/ecRbLwqF4W4J/SL7cpFIZuIj3kRgeXzA3/t1/mdC8P3LPtHTtr8xs/MyfH8mlxchqsSxG0XmsugDAOrReGGXHziZ/if+qdxLMXmIOH81pi00NRchzNLdYyBtNBobYQLti1C32Z3nDJb9wg9F8uCcVpgjKEVuNR8m0mq+fThFq5tM0py3toYstqPcC2LpVZIt+7iOzYGSPOCpU7I2cUmviO66/0hEApD3XcO+PS7ZWP7nao1z+F/fmWVb1zaJctLPFeRl4as0BybafB9p2foTTIaVVPPvjTvdy/sMslKfFtRVo1BliW+5b5jUWrRpddci35FuVzcGjLJNXFaMM5yAtclzUuSrAQlTTr7Cp1RUuDa4mZYlBrXUoziHNtROMoiyguyEnwLCiNDPYpSU2iDQdEKHJbaAeO0ZBhn7EU5aKFyLAswoLUmL6Hui19LUpTSKasUrm0xVxMePy1KtDY4tsX2OJUgH1qMUs0oSunUPRQWgWuRFJo4LTnaDVnoBAyjgrgoODZT4/kjnYPPJspKjnZrvL05YhDnvLrar+4c4dOHO7RDl7OLTXpRxg89KRLHr5zfolvzUOo6dWeMOWgUutNz+69/FKGUeskY856keeq1cr+4myrlQSWJt1W9dCTAOgGYNyR7Vgr8jmTXs2ckCCcTCfr7AbRIIRuKkmTfEyXpC2Wz+GkxvRquiD5clxLAGwtyoVGWkJ/NQ0KR2D6EndsGcYDfvFQKVx62ZC21Obn3TsaS8VsanJDYnsNzHJoXfpnn/c+wWs4wVsvM1T3qvotGi9Al17gWXO1NyAvDcjvAsUXXvDpI8KwM1wGlpGPRs4Vvnqm5vLoyYJiI6mKu7hE40jm50o8YpS7dmk+n5mIp8QcBDmZnrvaiAwXH4W7ttsOU3+uOuIeFRSNwODoT4jlzvLoy4OL2mG7d49h85YW+HTGIZDZlu+by9uaIJJdsuVsTAyrfVgSeg2eLMsO2XPJSszNKybWmW/coSs1sIyDam7AzTklzQ+6LTNKump2yMhctOBZKCX3h2RbGWPSilNKAW0CiJYhroHIPoIjkXLiOZNlbo0yKpZ5DaQyqCpJZIZx66NtobWHSgsBzcG2FY7tove+5UvLu7hhHKRZaHs3QI3QdnjvSYZwUdOs+b6z3maQFru3gOoqiMOSlBkuzFaWUCiZpgTEaqN302WwNU2nyCVy+faWHMQrQYBQXtkb88JOL72kCulej0HdTE9E0kN8P7keVcrcW/PvZ/1u/LO312VAC5GC14rlHEsy3Xoflz0HvoqhbdCGNOulA+G9VrcHxxbMcSySCcQ/iYeXT4lbuiL3KGtdANhDFSpFB0BC+/G6oz8uFpRyDTmDxeTkXRYLQLja1coexmWczcWn4KfN1C2fvTYb2GSy3w+5E3O6y0pCkBZOspFvzMBgu70Z0ag5nF5q8sjJgMMg41A7wHIt3toZsDVPmmr4McEACDVosWKULUyRs2+OEi7tjFho+h7vBe+xTF1sBh7u1mzTnNw5T3udNv/rONgrwbBtLiUxxnErA+71PLXBmscGhdsg3L+1R823e3RwyTkve2Rqx0AowRlHqEqUMGpiveyhLXBID16IduviuLXM6tSZKpJ1/a5QSOBalUeLPoqpiIza5lnmctoKyNIzTHG04MBbzbeG3LUDZMpFe3/Ix7utBygJcJX8+carJi4yZZoDv2IyTHKUUvqOIUzngcidkvuUzSAtGUS77LjSTTLpHXVsxTEpm6hatwOHkXJ3LOxPOLta53Buz3PGpuS6+a7Hai0UFi8Vs3cdGkWRFVQeRaUjnN4YHnbM132YQ55yar7Paj7i0HXFyvs7hTsDWKMF11E1NQPdqFPpuaiKaBvL7wf2oUu6lI7/T89GedFRuvCrFxeGqcNqtQ1IETQbCY2dVV+beRZh/SvTjaIhLCOekaacsJOtOJ0LxmBIsX9br+HKRiLVw20UCWQaTAQw3hJJpLkpz0d0QdERRk41hewA7F6p9x/JTZnidDnnUx7dDGuM3GCQFjtXkuWCH3xiFciNRljIRp9R0Q5+ZusckK9FGE2cla8OEmm/jWKLM0EZ07+3AY70fc6gdMtf0CRybtCg4OiNOf3FeVs8HEhjykr0o56TiPfapa/2YcTqm4dt0a957hinXPJlEj4FT842qg1PRqSa/Fwa6dZ/tcSrzJ/di+lFBXhb04oLdKOdwxydKZAanS8lrqwMc26IV2ESp3BHsjFOaoUvTs1kfJuyOUkLfYWuQVzpsU9FQkJeldHhaUtvOC5mwvB/IlYHJDUXKJJfnbyxa3orcyPOuDfsSk3bgoEuNbVsYA92aTTP0mG/5rPVjNkcJeV7i2ja51lhK4dlKOkYLze5Y7AL+zVtb6FI6SecbPn4r5OLOhM1RwigW+wHXtjk2U8MYQ2lE8dKLsoOOWd+xcR0pmoqZms2zyx2+79Q8wyRnnBRkZfkeauxejULfTU1E00B+P7iXKuVeGfudnp85DW//Cmy+Jhl2OCPZ9HhT+OagKYEzrxwMMZJ9b75eSQ/Hcq9cZpIl2w7UlmX73mXhsuuhXBi234F4AMWO6NBRYDL5V7kS9KMecIEvnarztYvvdY770qlqDUUitEyeAqVk+24o6hqvRjC4SsPqsqwMF9QJyjzjdLjNWprjOSdEKmgUdc+hoYRjXunFlKVMmbdti3FaMklK+pOMrCypBQ5pXhJpUUIErkWclXRCF9dxKErDoVaAjcUwKcg1LLUDAtcidK+bfPajjI1Bwq+8vs5c3WO+GbCyN2ZnknG4W6NTcyvv8ZKGbx84JjYDlyeXWuK6mOTYtuLHnl7kyu6EX/jmVd5cH5IVIkmM8gIbuVtY76fUPRvPtdiLZbzbbF24bpTCQuiSY936AV/djzLJQvOSGuBailIZkXIaKErwLCn6lVWbvdaiNAkr3jnfT8Gr19yrEma4nsXvjUXxUvMcDndDruxM8FyhQ/bGqWysZb8uoI1Ba4NtiaKl5tlsj1K2xynLrRqfOtxkEGcoZVEYcXsEmG+K6sa24I21AcvtsOLeCy7vjjk+UwMUaVHy5FIT21JM0vImy4VDhERZgedYd5lK9WBDTh5HTAP5rbhd5nwvVcq9MvbbPZ8OpUuzd0UGPpSpZLqNRSCC0aoMchhtiqrk0KercW4ulCMJ6I1F4dKHK7KPuTNyEajNSOFzsi2NQnYghUyjkZtqv6JWqDpEkQuJKWGwylf/zBG+/+c3+d13+wdv94dO+nz5P/kCDK4JZVMUgK4UK1WHqOrL+ypyQh8cq+SpmRKKAmu8yWxymcNWg7R1And2jkGcsTfJyEqNLjTGsasACq7nMEhyxlmOZysw0hyTFyWhaxF6Dk3fq4p4BbvjlLm6T1ZqvufEDDXPJik0Td/l04c7FNocKE+u9SZ0ai5X9iK+fbXHU0stPrXc5tpezK+9ucnTSy26NY+00Kz3E47OivxSgrnL1jDhyt6YX3p5hcCzD46V5AVleX3Sjq1gXIqxVDqRocpPdVvMNn1W+zFpLhm670prfsN3WeoEOLZ0XwaOTVT5oBS3RGIDMoKtUNguFFUhcl9tsp+BP8jkyyo+iwImF0uBJNPEuWaSZygLkkyyZs+1hefWwsqp/T0oxTjJKY2iGdjMNFxmGyFmnACGzUGBMYqj3ZBW6DHb8OgnBXFWMk5Lnj7Uohk4vHKtx7lrAxbaPnP1gHe3pMNVnCRt5m9oDtsaJbRDl6+c3/pY9OCPgh59GshvxN0y572qhfx2Rln3ythvfD4ZSuBdf12030ZfH/jQOS70hxuI4iSLRJ998vdB54hM/MnGQp/Ee4Al2fbsCVh4VmiRUkNoSzFytHG9KxSq++eacOLJSJ7ThUQcpyFrySPwG/zOX/8pKWruXpSMP5sIhbNZ9XqVqRz/gH0t5BttWWA5uPmYOFjAyXo8Ve7yjm6ReLOEpmAxeYNXJmfIvBZZXrWAZ6KfznLNJINmaAgdi9iysG2Fays6NY9xklNzK8oDaPoOJeJfPskKjnRr+I58wRebAS8c68oEIN86GCd3ZWci2nLfJcpKLuxMcG2La/0YXZa8rg2frV43U3dJc02UFZV3SyoeK57NXMNnpZdgWxaBY5FmMrTYUpI1ayUqz5orBcU4LXl3Z0wvymgGDnllkgUOUV7K8Yx0sF7cGtGLUgaxxkG+qEV1pvf9ywPHJi8qd8Pqz8hWcpOmq49bITTM/mN3g0JeD1ILmKQFWanxHHl9Vhixy7UsslK8zItSvFE0lWOEL3dYWmtc25UbRgyzDTEdO7XgsjVKyKuJRM8d6fLG2gC7rjjcrXFirk5vIqPhUIqFhs8rK3ukpeFYp8ahblDdPZQytq6ijXzHPgjsH6Ue/FEZajEN5DfiTpl1vHt3VcqdMnYUrLwIO2+LIqSxKBmtE0pjjVuTYuZkR4qIfrNqsolh4ayoS4Zrwp8HLbl4lFrWMLgmx28sCyVy8TeF7vA7cO0bcvGotN0UEw6+1o5d+ZdnQFEpXyyhanQp+whmIN6ByYYUU4tMGob6l+ROII8Qp0Ulbfr70AkQgGvh5gmt8SWydI+B3cZeeIEZp0WyETAaFyy613i9PEu9GgThWhbt0MO2S5LKWU/a50XHnBYliy3JwrKiQBuYbbi0Ao9xWvL7P90ldB02BjFRVhC4NnXfxrbUQRHrO9f67E1SWjWPQZLz9vYICzmlr60NUErx7KEWu+OMN9eHnF1q8j0nZ+nHOZ5j0YsydsYpnzrc4VovojTiwJhrTWHk1DlKURpFYVWugArJ1DUEgUVeaq72IpZaIdoYAlceixIp8m0MUvqVRG+QlAR2RmVNjo0EccuCmi/t7jVfhlzsN92YKqhWHf4H8Co6I9XXaRabmzN235bGHvGdgaTURHlJ03fx7OuTjYaJ9Gt2Q7fiwmVfjg1xJufCteRCE7jiT24pw95EGp5KbQg9BwwMk5xelLE7zrjWj+lFKcsdUays9RNeWZGeAc9WbA5T5ls+tco07DPHurx8tScTjarZreNUfGBsS/GDNzgtflh4P3NrPwxMA/mNeL9DI25nbTvekG+ME8D8M7D+imSz3ZNy1m1bArVakEYcStGHR30OKIvBimTMw1WhM3pXYOstyeTDWYlA269Lpuw1pdGndwXhsXPZTot3NtgSy4tUKmIUSEZtgFza/veHT7ihnAutqx9ku3R4Az1jVf+/BTqHXINbw9UFbrSJrXao1btsnvgpDsUBl7OCjhL/kyQvCX2Hw+0Q21ZYUcZi02V9IAE39LVMdI+lAcdW8MzhNrZl8eyhFs3AZXucstiUEXG2pTi72Dxo9vEc66CItT9Orht6vHylh63AVhZJLkW3U3MN6TRVimSkyQpNJ/Q4Nls7aEp5daWPpUSqtjEQewHHtvAsCydwKY1hPCzwbEUhkgwsS9HwLPJCMlVtDHtjKWhiFIFrM8kKnqy3uLw9pubbzDdDdsc5ozg7CLb7Du/GQOg6tAMZGBFlJcO4oKoH4yn50yiAmitFSNG6X+dnFDcHcdeS0XOFNtf/KgqNMdIMVHeEI9dGnA49W/6vUHgO+K5Nkmtcx+BU+vO9KONwWWMQJQyqwmboynnoRTmlNpWjZUEzcFmsvMpfutrj+SNtjnRr9CYZCoXvKto1n27NZ2+SHtg6rPVjdkYJb2+OaIcehzohloJXrvZu27L/sPGoDLWw7r3JJwcD2+bc7hv89s45zvXfZZCPr2fWq9+SzDSckX9XvyVUDFzXkRcJXPu6jGIbbUmG7tXEqGr5M5KyDVelWedYNeDBqUlQ1lr03+lAsvLxltAwqtpm5VtyR5COhO/WBSQ9ScOysRhoJX0paMb9KntPqoy5CtYAlFUAtkVtolz5v7LlbsR2hUpx63K3kI1kH0kf0qgacedy5xt1Wy4IeSKZu8mxdI41uoZ75bc4bPf4/OEAtz5Dt+ahDTgo4lx45UGU89bGmDQXr+qlZoDRVFl6zqFWgGtbLDR9js3UeXKpxXzDJy3EhrXhS7Y2U/eZbwYM45xLO5ObxsltDhNagUszdIkyjWVZLDZ9JmnGa+tDelGG0SVbo5jffGuTOCsOGoIWWwGTtODi1pi1vnROrvdTfNfCd23y0mArC8uycGwlgbVqTqr7Dr5v4znWAY+tLOHULctimOToSoFiV+m0rSz2E+sSeU5rGMc5W8OkOp7CtsBzFI4l+7TtKivHMMk0eWnIzc3Z+P5+FXIBKLTIFE3lswJiMaygshGWQRRKGWq+I8VVT95nkpW0AoeGJ3JK17KYDX2u7I3Ft12JEsaxLKkJILLKjUFMruHUXAPbUlzZnZAXZTX42nB6ocHhTshcI6QTeviOxV4kXHQ/yri4PeFbl/sMooKtUcrbmyPiXDPT8D+SUW/7WvUb8XHo0aeBvMIgHXBOx2TZiDYOmc45t/MGg6gaVOzWGSjNucEFfnv4LufiLQab37l5J6aUKT3HvijFxL1LEoxBqJHl56X5ZuEZMbVqH5UuzvWXZZuTPyLBb38ocv+atOhvvS4qFNuH5hIor5IbpvKNi/fkAqD2v56a2wZaYzgoaTmhbOt6ku1bSu7b92WLjXmhe2xfiqz7PuR5Wh3jxtmX+yHBkX1ncUWzWGC5KDRetI0/vMAze1+mGGxwlSXmWz4N32ZnUhU9i5LZZoA2MhfTtmSyUD+W+Z0Nz2a26WNXroBvrA+JsoJD7YB+LLMpD7UDtoYJr632mWv4B8Oe/8HvXOLcSp/vPTlDlBW4tsViI+Dzx7vMN3xcR3F5N6YTuBgNq4OEnXGOMfCL315B64rnzku+fa3PuWt9dkaxTO/BEHqiNjFGpuQYgzTWUPHIWvy3666NY1skecHGMGFnnNCPcrTWbPRjbKXIcs3l3TFpqUkKjaOun+XCSJDGsnAsxdYoZm+SExfCa2elqE9Q4HsWjm0dSBX3YVU723edtACrunCUZdU3VrXe+66N71iM4pwrOxN2RilZXjJOCnqTnDgX6WFeitTRcSxmGj5L3ZDlboBjWTy12OT0QhOr6mY1wDAr8WxLOiuN3HHtVHcpLxztME5K1voxjqXYmaRc3B3Rm6S8vj4gK0pOztU5t9Kn0Jo4Lwg8G6Vge5hyaXvMydn6A839fL84ObffeSpU4K1zYj8qTKmVCleGVwgbC4RBFwYrhNkYvDpXmnM8lyYMKDnXv0jo+LTdBkmZcm77VZ5b/ixtv/1efr0xKwXF4QoEz8hjtVnJbEcboglfPycZ9pHvFZpl65wE0tEG7F6oaBCnqmw1xTsl6MDMMRjvCM++z3erfarjLiUtpeQioAspqCZD+d3xq4LmWAJ3NoTiSNV4pIXD1xpIhXrZlyCaEnDk9ViiT4dqDc6B2ZaLAnJa0QrG7HHa9EjcdV5Nvpcrow4YQ80LGSUFllI0PIdelOM5NqWRQONaEpTWhymWgnCU0qq5LDR9GoHDs8stQLLKfR479GzOb4wIXGnN/+13dqn7Nke7NfKWYWuU0ApdvnRmjq9f2KHUmvlWDYUiHZeEnnRM7owS3toYVrf4MgzBc8XJ8eiMS6frsjfJ8G2LzVFGUkjh1rFd4qwQWaIxFLrEGMUwLsirjLfU4LslSSaktjRKiZY6zsoqU5bLplVl6wroBi6jLGcUCz/uKpED7n/6CkhS8Udx7INL7MGPuSE7t5S4NRYlB9uHnnTKgiItNXmSUxgZ7FwWkOucwBGpo9bgOxB4FlkuLpSepdgYJjiWIgwcDoUuW4OE3TjHsSy01gyTkrzQ5I7F9ljuLrRJUAo6dZ/5hs/l3Qm2LUVPY0TSudCUZqF3t0YsNgOShZLdSUZRQt23UUrorpr/4eepj8pQi2kgrzDKRhKQnfAg8AbGMEhFhnhl7zyh4xPa8kcUGiCc4crwCs/NP8e13ru8GG2wkw+Yc9t8oXGUo/FAgmA8kEAf7Yqnycarkm2XuWTf2+clsGaRaMMnW3IRsH2wtXxzTFP2M9muCpOFZMplIt/KoCWvvZti2FTctrKFvrFsScEsU3WEdioevJSW/rAN0bZ0mu4/nlfe5EUKuPJ/ZQk3btmyrn29O6bazuBiUZqYgjpzasxneYP2aI8r2Q8St45jWTCMC5K8JMpK4qxkpu4SOoqe1ozGOYe7dXxHsT1OWU9KPnuiy4kqI7qRD9332Hh7U4J4aQwbw4RCG443aoxTadp5drnN2iDm4vaEnYmYOO2MMwmUNY/Qs1kfpRzt1tiLMnzbJisVjm1zpFtjpSdGXq6tpO3fgtPzDa7sRQTVIIcdpfBtzWLLZ3eSsTVKbvqENJDkYKtSLloWtDyHuDT0cmlGcuz9IqrBqgqa41y6LksNnkNlRaApRJ5OVkhwtizxFi9u/ku4aQ2+Ixw6VcHWd8VfJcsNyoGZ0Ecbw86opOnL+RQqS8voOaVphtKuL2oUGFc3i4e6If0oZ7buERUlaa5JlaY0wr83fBl8MUmLAwuF+abh7KEGNc/iUCeU4dvV2MDlTngwdMJUIsujMzLX1XdstBGJ4p26ND8MqeCjoEefUisVml6TpExueiwpE5peE2aeYJTsEZS6cihMoIgJuqcYZSOuDa/xy73XifMxi/4Msc745d1zXKu1pFtz5ZuywyPfU9nHVh2YtVnRhY/W4O1fhc23xAyrzMQoy/EltXJ8eU02BpRw88kIXF9Ms+wqy7ZtUb4c4Eb6o2rZ9wLxX7G9yia3okwsF5JtuUMIOtfdErWWi4XOJDgHHXlPUHm1ZBKsy1wuPEFTdOs6rzhyLa8zJRYZvioxjktoYup6wo853yHNS7RWZIUhykomacFCS3jvXpSjjcF3bYaR8N3jygp2d5JybS/i7c0xv/LaBv2qwNQKXbZHKW9tDLm4PebVlX5VuHQJXBvPsTkx1+CdzRHNwOHpQ006ocdiM6DuCfcbZcLJZ1nJDzwxS5zmRFnOJC1QxrAzSTncCXGUIi0047QgyTTNwGWpFcg+ck03cPns8S4zTZ9hWhxkvNUnAlzvwIwyMcRyHUsmCblCL1lGaBOQwKwU5NVcToC8kMesih/XlWqk5lry93LLTdqNX3rh6YVW8Vwp1Dm2Tc1xqXsOWismhShNtIJMi2zQVvsqGTEAq/sim7RtiAtDoTWnFhscnalhKbiwPakKzqLwsFHMNQIW2wGzdY+01BTGkOQlzy63Ody9bqv73OEOnzve5cklKW6HrjRqnVloMExybAXHZ+uURu7Gjs/Wbiv/25cKZoWmW/PICs3LV3sHfzePM6YZeYXjreOc2z4HQGAHJGVCnMecmT8Dfpvmoc+S9C8TpkPpspw5SeK4NC2PFzdepNU+Tmu8DTqn5dagzHhxdImjS99/PYMerkhXZjqWn6QvtEgylACqS8mWLUeUJbZddV0aKMZSiLSdSoqYSFu9HcBsR1QmyhFaBg+oAqiuCjHKFqojaMtrbFfeRzyQ1xaxBG3bk6DcvyLPt5ZFgbN/YTFVgLaDKsOvooRbg/qhSg6RyT7LTIrFZQZoclzqZkyYv0tsNelZdZ7Sl9mb5PQnPSxLTJ8sS+FW3iYxmqIwOLZhXGiiXAp7802f1V7CG2sDLCVGWHXf5ktn5nEsxa+9sc7mKMVoTT8u8R3FD5yeJ60mt2dFyVIn4PufmOf8xpDTC3XW+wkNH3YiGMUFhYbf+9QCpxeabI8TdkeZDEwwMFPzCT2bTt2lVUkoB3FBnIvpVVJ1bjZ9i7lGZbPq2lgIz+5ZVO3shpLrBUfXtlnpR6CEwjFGREAaUDJkSLxRlAZl8B3JvrU21HxXdPmIikQBpdK4lhQ890tyGnDUda5cl6J9T3OIKHHSktQvKwMuoUniTB9MM0ooD9bsWDJ6zq64bKMVgW1Vo+QKQseiMIYjnRpHuiGlNviOxTcu7VGUmqVWSFqU1HyHSZJXctScvUmKUjBX9+5obnVyTnjwfpSTl5rDnZBnl1t86cz8bbPsR0Uq+GFgGsgrtP02z80/x5XhFQbpgKbX5Mz8GaFbgOMLn+acMuCG7wn0X1/7Oov1RZEAjjchm9Bwm2zacutHmcusSyeUYcjjLQm4tlVluD44mdAYXltUKkUs37iwLZpuyxFHwzyVzNcxEqQ9G9rHwFqX9v54R1rl84lQNTgS4B1H1DGWLaoXrykBVnF9/qey5XhFxnUKZiw8eq0udIy/fxEJhG7x2zJertQy+HnuaUkNdQ7jqMrG5XcbsEgpgYYu+BTfYS9v8qS+yLvWKfETKQ0Nz6EfSROTUhZYMEk1vqdoBm5l6KTxbcNLV3viNwJc3h3zyrUeZQmtwKMf5WxHmfRIeQ5vbQxxbMULR7u8ujrAdyzObwx55VrvYHzaMCmZa3h0qok331MVR5fbIYfaITXX4dffXMe2xMBJoSiB5492SfKSjWHCKCmpeTZlknNlNyYrDJ89PsMTCw3e2RwzquxtS20OgqtC+GllQZIYLFWSl9wkPVRKip0oGfAwTg2OragHckHQSJG4U/NwHRmqnBYl/SiX8kjVberaEPo2ZSFj9EplDtwRq79YRqnGVRrXVmwMCqqa5G3MtwyWsrAQK11tDKEv3ii9KCXJCuJqwHLouQyijOVOyKeX21zcHbNTTTSKshJXKbphQGEke37haBfXUQeUy63mVp2ax5fOzN83VfKoSAU/DEwD+Q3YD+Z3e+52gX4unGOcj2l5LZniA4yzIXN2lQGvn5Mg7gbSFLQ/BDmYB2xp2HEDcOqS5TaXYLwt2xSxZORONYTCnlRFTSN0h3Kgd0HGtS08JUE2HctwiclO1dlZWdaaEiY9uUNYfFr2efV3pXCKEXol2quKoWE1daiUARS66txMh5XpVnp9/JvZbwb3INmT99Q4JPfeZUw5yUj3bKK+IRtZEi0aChZABfCnnV/h/2X9UTbUIUptKIxBaRlTptB4loW2DTXHYbbuUQI744zMUYzzgtC2UZbi2m5MPy44u9AgKzRHZmqcnG+y0ovYHib4DtQ9u/IEKYky4VXrnsOV3QnGwOFOQKfuE6U5x2drFNpQ8y2+dGYekOxtuVtjFBcc6oQsNH2WO6HMBVXwI08tcu7agK9f3GG+EfDUUpOrewmvrvSxFYzinLK83g4P0ojjOzZpUVZcuBQ4b+SxS8C+oUA6TnUVXA1pbvAci+cOdzg2E7Lai7nWi9kcJhSlRiklhVu4QRFkYTuWBHJTiZb2xUfmBhMupLFpvzi7H+hBMvrQtbEVxNWsT8+2qjqH3DGMjDgkXtqJaIUuhzuh3CkZTd216U1yWoFLt+YxSkrSsuBQ1dVpWfDckc7Beb+xmAjiXrgfwJ8/em/N+L1sbR9nTAP5A+BOgf4LS1/gly/+MgANt8E4HzNMh5xZOMO/2HuLndXfZK62wBdapznq1GD+jPDieSQBN5uR7LlzFNKeBNHajBQ2LUumB9XnxJK2KKTTVKlKJzYWU2llwfbb0Dkp/ipFIheN8WZFoAZVh2Yq/Pf2W+KRgpHfTdXVqQsJ4KmRTLp7WPTj0a5cONy6HLdMAV8yfNu73vyURhLgdUFpd4k3HOJrY0wuQbxUmnxiYdZtijdt0pbFoZktfmr2K/yjmZ/EUdDd2aRVpsR+yGhumcSvV0U7zeYw5cRsTaiWRGRneWmqvlVFnJU8tdgkLzXjpGC543F6vkHDt5mt+2IP605ICs0gkiBikNPgORat0CV0LaIUQs/mxFydK7sT/vm3V1DINPtT8w3e3RzRCh1xWbQUnZrLOC24uDPmjbUBdd9ituFzdqmFpca8vt5ne5Sy0A4q6iCXLBzhs33XwqAZZyU1T7LprHxvMIdKeWLAV+C6irIUAzLbUjRDD92LaQcO6wNNkhsMhqZvYVsKz3XkzicvSbIMxxa1iuMACG2VZOagM1RTfcTFQRuY2OUCoW9RaENaatquQzN0KbUmLQxpXuBaMujCc+TCOYgUe+M+nbqHZ0kNYLHpkWlwLMWxrk9pSl651ueHn1zg1Hzjpmx7P1i/37b4e9naPs6YBvKHgKOto/zEqZ/gxY0X2ZxsMhfOcWbhDC9tvUTLb7E49yzj0Sq/vPMtfmLusxw98Xsk+914nUE+4UrYYKTHNK2C47NnaBtLgubZH4fJrmT1ky1RmFBKQTGbSHBXVPryxcq/fAzHvx9WXxSfFOVUsz3jagZnVaB0ahKQ+9euF0qDTtXRWXV+ugFlrEnXRpTjEttV+M0Rds2W9e+rUpRVDayoJJdundJqEY00ybAgHQ+INn10oVBGimZiRKJQPYPtFJwwa3wpe53U8djTNotRjzO7PWprL/Py4lnePHSWkRfQCDzyUpMXorUzVcFNArkhKiCuCob9JOcQ4hlS82T82fY4PVC6dEOXtX7MMMk5PlcjyTVX9iKeXm7x6cNtdic5/+QbV/Bdm8WmT5yV/OZbmxxq13h2ucWVvQn/6twaR7shJ+cbKGB3nPL2xgDLttgapuSFYZCIsiXKSuabHnFlfePZ4CpFVhoCA45tYbSm5tokSpGUd7e8Kiv/E8eGpBQDrvVBzInZBhuDhOV2ja1xKl4spUytL4xmWLkwLrQcskKzF4kk0LJAelukMcit9Pqi/xYP9BKheTTXOz9jDE1fmoH2JikWSsbCGZkSVPdcskKRlwVZIWZgYcNiN0oPZp4mWclKLyLJSpqhy9EZucu5XbC+F9d9J2XKoyIV/DAwDeR3wSAdcGV4hVE2ouk1Od46fsCZ37pdL+2xWF/kdPc0x1vH+fUrv07LbwndMnuSljJgSl5UOUctB+ZOMwg7nFv7XUK7QRtDUmb8rmNomQLTnKWpY45binZ9Xjoso23hyWuz0r3ZmJfMO61GtelCmpDSiXiwjDeFStlv0S+rtvyiEOrmQC6IZOf7LfhuQDaG3tuKydU90Bo7sPHaHsoU2J7ClFUhrFXiL9XxnziLffKzlNurpHs50RvrYPvEm5piUgOlMYXG5GV18XHB1agCrF5BczTkx67+G3LLJQvrUKuz155jbBTPbb+Ll0bshh2ankVea7CnWuzYftWWLgHHGIPnWlzcmfDEfINRlHFtb4LvWCy0Ar5+cYeT8/WDsWp5qTm90OTi9gjbstgdJ8zUPQ53athKMUkjNoaJ9EIhdgLd0KcoDZvDBLdqdqn7DnvjjHe2RlzdjbAdaU4ZJgWvrPQ40qnh2xZJVrDel+DsO5IJp0rmXrYDh36SY1nScp8V+iajLLiZ1lDVc7qUC1lelmRKk+Yl/UmKNtJxaSslmXMuFzhtNL4t8pZCQ6klm08rEyytDZ4jShijjAiTqkEW+9hvKyu18O2OJZ2riy1fhlxoQ1bIDCbfluewNGVp0EZ4ecdWjLOS0LOZxAV7UYpjWXi2jdaGf/atFX7kyQXmGmK9sB+sz630eWdrjIW4US53wgMlSy/K7pmtPwpSwQ8D05mdd8AgHXBu+xzhLcXN5+afuymY32m7lzdf5nj7OJaqxF7ZBD3cYHOyxs+e/d/DzBOc232D7PJXCLMEHJ9x0ud1PcEa79DJM3quS0bJqbykZrk0ty9wXHm096fx1GYr7jqFpU+LZ0sWSXFVAW5I2euR9nLKRGPXPPyWwrYTeZ1XE1WJLsFvku1FTNYtop5DvONSFgrLUZW8EKl/YrAchfIMlKALD6sRoFwXd66N1WjiBhnpxMdYDeK33sSkEeWkhINZzjmiQYdcCc2e2j6qLCnDECcISZsdNoM2K0GXuXxEUGT0ghbl6bOM/AajVPNb9gI9J6DQwvHW4jHPTtY53V/htJdh2jOsLx5ncuIMR08cYhjneLbF+jCh7jlMsoJOIHa2BsPVnQnduodjWxzu1OhFOXGaY5QEkne3xrQCB9exqHsOzx/t0K15bI4S1noxL17ZxbNsljsBb22OAAhtC8+zcC2b7WHCIMulCaYwZNUFouErQtdhnBS0QnF2LPZ59BuafPaxLx+UrFlq5qURCwDXVoySHN8WDjzLSpLC4NoIjWRAKUPd96h5NuOsQJea3Ukq1gCWxUzNY1hNHbIsGMdy8THmOr1iK6gHDsdnQhlCbYGyLKIkJzdGgjbmgO7yHFm1Y0Pdk8BbaENaqWwWWwFKycDmhZaHa9ucWWzw+549dPC+h3HGS1d6zDQ8LMT+IMlLnlxqCW1UHWN/tuo+9v3KP3Pso9GVf5iYzux8QFwZXiF0Q0JHuhNDJ2Scjfn1K7/OYn3xIEO/3Xb7GOdjHMthJ94hKRJKVXJ46Xk48gUARj1F++SPHChaLvbeYWtvgyvZJk+qOu3aEpvjVXaKET9a2mR+g3PpgOeAtlMXRchkR75hF38Twg6lrpNuJpSTCB00yFZBq5AitSj7GUaDNxPgOBlFblHmLSwkSy5HHnbdkI5cdGlj0hJdGHQOlK5cIFy5sVYoVOCicxuiBKdtU5QxaivDPzqHPbdEvrpJMTGQcIsx9vXiktJgLBs38DHa4CsNOkOP+ywYTVsnmLygaLTwZluEMyG7O316nTk+HQ35ptsgyUpmTMIzvQs8Ee0wU8S0Z9sseRmd3hXS0HD8ucOcG8bsvPouS1mM3WpSWzrCly8OUCgpuNU96SYtJfNrhy7DpEAbzXJHxsjtTTJaNQcLWB/ExFlBr7LQNUahlGGUCn0wTAqyImfeC2iFDmt9qWCmpZE5INU5mKSGLM+ldT3OcZSF68MoudlbHK6rV/R+4dMI42ZbVHpukfFlhcbWEkxBto+yksV2wDiV2oLv2IBhZ1wSug71wOXzx7vERcnbGyPRtRcFliX2AqXWOIYDBUxRlmyNUhq+y+mFGt+51sdSFs1q7qejFDvjVPoAqi7QJCvxHQfXkjmgoWuz2o9Ick3oWTQDm7I0ZGXBSi+66Tt5aXfCTN3j1FzjoGPXdywubo853A0PHC7vV5nyqFjQPgxMA/kdcNDpWWGcjVkZrpCbnLMzZ0nKhHPb54iKiMONwze9NrADjrWOcWlwiVE2ouW10FozykaETsggHdD229KEpDPK7nEurn+Lr/ZeI1eKztyzWNmEN9MtZpWFsWw2tOFM2IV0yJWwyXOFvj7cIh0BFmUM442EMrLI4yaTtyKUDlGk6Cr9MxqSd0F5Hm7DwaqFpOMUZUpMDiqDdOKIWqXcN0/aD7xu5b1lYxwwMVUh1UWbALMbYXe7JOsJnmPIx5X8gsrLpby1v9DBKQsIXBEkBwF5FEGWE9gGb8YhzCZiplgmZNsrZNGQVq2J69l43UVeLy06ocunRzsseCWdFJY6DZwogrTEG8dYwyHEPWZjzTCYwczOMRpH+G+8Rqd5GL/bZbEVEJclaVYQpSVFqfEcRZLLbNFL2xPyvGRcdZzWfIei0JzfHPHC0a64BlqiShkkBbo0tELnYHLOMBZ71dCxsZTw5coY9v2WCg2Ba8mos4qMtqts+0bVyL4RpcXNbvChLYFca6GX4kzjoChLoUr2VSjjuCDXmr1JxmLTI85K8lJzbLZOKxRTLN+xxOJWa8pSTLOUMbi2hdGmeq9KRrNpwzDNGSUFvusSOELnlEqx0Y+xLOnIbHgO2uQEvi9KF1uJetaxmG8EtGsOtiUNTJ26S5SKlfHF7TFZUbJXZc4/8uRCNeCjKaP6EoNGHxRGL2yP8GybU/ONg3msd1KmfDfpyqeB/A7Y7/Tcz7DXJ+soSzHjzoicq3p8O9q+aTuQjtBTnVPU3Tqvbr/KbrILQDtoc2lwiV946xf44vIX6fpdXt99nbXxGgPXp9k5xep4laYb0nfrXNm4xqUiYdEo3HCOyG2wqjvEFIxzi2fdDu35Z+Hil8H2iFYVSc+gU4d4q0AnKYXxIQHbc7A84R9VzWDSnKxfYOcGo2qUaYYdOOgorSJEcdduf3muyimNQo8mYAxFf4TyUpS/hSkL4eO1vm7HV9wSzJUSycT+3Md6DRNFoBSuZ2OwKfb2yPe2sGo1bCug0W6g0iHq2HGex6a5s86pzbcJ+7vMp0OCQQpBCJ0m/rCPk+dQ9yib85zM+6zGdQbaYrlR53k14tt5k3YZM7++ymBnj9SvkQZdDAEn5xqs9iZsTXJavs1yzaPmSpFwZ5KxO04ZRBl5qal7NqO4wLVE5rc1jPEdm07NIc40jUAy/LqlqqHJpTTnVFyJwuDZFlppkkJufizLolQGB4nE+4HfIIH+Rs+UrNBYQN3z8O0SZSnsXKSqtlJiPW80CkOpNZNUaJejMzU+e6xT+ZUYklyzO8kZJvlB01BhDKFloS1F3bEpK0MvhTg1XtqJCVyLQVwwTFJsS8bQ+bZNt+bi2jYzjnjXGCNBM/BsZmoevYkE6eV2wGzTJ801rdDlmeUWL1/b41C7xkzNQ80pLu2MaQbuwbSmKCtIi/KgMPrkYotzqwPOrfT49OEOjm3dUZny3aQrnwbyO+DWTs9e0sNVLkv1pYNtirJgJ95hO9qmG3Q51jpGWqZcGV5hqb7EVrTF6e5p3tp9i7iM2Rpv0fJbTPIJe8kea+M1VkYrbMVbrI3W8GwPC4vteJsL2RCCGmlcEpQFv5vt8KTr0fVbNNMRb7k2Y+PymZUhwbqHHVhMVoaUuQbVgHKATjWmyCA38gUuJY+zO03KZIDc52uwCsw4pUgr2zvf5UBacTtYiDTRqbxa9n+UgijClCXZ1hbEMfjiTYPWEsQ9T/6t1ysjLqpOlwLd68k8Uc/Drtcx4zE6zyHPcI3GLXICF/LNIWbQ4+TJEzx7JGbHnxAEGSreIen1yZttyQDXVrC8ANOoU46GuIefII0SFuIe3qFjzNZcop092nlM49Xz1LKIZG/CUjPkTGfMtYYi3euxPBmxrTzKzjEWDs8wSXN6k5ynDzW5uDNmN8rZG6cc7dZpBi67o5T1YUrd81hqexgUpdGcmGtwcWdMkhVYlvh4K8QD3BiwbJumbzPJSlwjwygsJf7gvmOTlAZPaXzXZhCX5EY4cm0gypGBG6FNoyr+ztZ9lpqKtUFMURqUJTNCsSwcpXBsxROdGqHnUFRNVDXf5qvnt0iLQrJ+p/po4cDbRGgRF78wGG0wWjNMSwInAGUo9X6hU4qXoesyzsRky7Etap7NYsuvpgZp/uBnjvBb72yRVf4tx2ZqfOHEbOVmWePTh9us9WMKbVgfJFhWny+enDuQD9qWuimzfv5Ih4s7Y97aHPHZY907KlO+m3TlDy2QK6Vs4FvAqjHmJx7Wfj8u3NoA1PbazIazNLwGIFTLG7tv0PbbB1z5N9a/QeAEPDnzJHPhHOvjdX7lyq+wXF9GG/G97qd95sN51sZrJGXCVrTFqfYpdqNdNJonuk/wzbVvMipGLIaLeI0aaZmTRdu8HW9zxO9wxJ4h6I3It8ast0acPvEsZtgjHWfYbkExTMgnRrTjZSJEamowWQGWhU7yqttSo5WRwGpZ0uvt21CqajboLTagjiPplOtCmkrQ3x8+sW/2sZ+BZ5lEAFNVzOx9ekWCt/I9lO2g97c7MBHJ5fdGA+N7EtwnEYQhyrYxSYKrFE6jhrd2BScacPTkafbCOrnnUksnmDJDk6PimE49xFueZ5hk+JRErsuiVUDoEg3HKKX4A5vniN96i3G9id+YoVbzaGyvcCTe4cXWCTbdGm1T0tm+SO4UZFvbnCxi5opFzp59gmulSDHrrmSco7jg1HydI52wKiCKZ8goyVluh7QChws7Y/ET14ZJUhB4Fq6lKIzBdxS2ZZNkmrrvkBUlSdWuXw9ctJGWerXftKOu0zCebdMIHMpEpJB2Ne/UspAhFr5D4Mi0n0ElS7SUIteapYZPaUMvFufJmqdknqolw51tBYstMa3KSoNnGcZpgTIWjqWJ8gKtDc1QhmGH1cDmXItXS9138ByHJC+wbRvPtllshbRChz/4wmF8x74pqF7aHRNU3beBa7PUCvBsuLA95nCndmAN8I2Luygl9YH5hjRoPXe4Qy/Kblvg3Md3k678YWbk/wHwJtB6iPv8WHFjA9C+OiUuYgI74M3dN1kfr7PUWGIz2uRE+wQgGdZ8TboAXdtFa02UR2ijcS2XUpc4lsPqeBXf8jm3c44X11/EczzafpuaW8OzPdq0UUpxvH2c7WibYT6mRHOsfQJb2Yx31rFrEVGrjVr6AirpY397m2wnAlyU71BGaaVfq8hxZUsg740kKHueBFxjpAU/TTmYD2ZZEIbXJww4jgRZrSEIoFaToB0EkCTXg3EYosIQUxQS8Pcfj6rClVIQhtittsR+XcNuNCgHAwBMmlKOx+jJBEtrWROA1pgsw3Jd8H2KwQAuXsScPIlnXWTWUhTdJlm/TjEaYycTMCV2luKFHoeOH+Gw5xPnJbs6IDQ5xaDHgqNpXn6TzDOE2ZhDSckoXaQz3CXYnnDmU106zQ71mRmKnR3ct17knc5RGnNzHG971C6co1lC462LjJKSp54+y7dqS6RhjdJoHEsy0MAVT++5ukthIEpLunUfVykGXn4wACLOSmquRa4V3ZqHZysGRqbudGouBmlZ952KO6+afKX13qLpi+3xQtOrvLxz+lXjj+/YuLbCc2yiVI4Vug4zdRe04dzaiOV2gAXUPJdUaywDvm1RFDKUOXAV6wMpcDaqOsFOmlFzbVHEWDICrtAaYxS2rah5Uhc41Al54WiXKC14d2fC5jBmoeVzar5BO3TfE1RtyyItxIgscCVU1X2PZw93aAaOGHnpSlapDUnlcT5KCo7N1Jhp3J3n/m7SlT+UQK6UOgL874C/Afy5h7HPRw03Zuir41WuDK9wsn2STtBhkAw4v3ueUS6FzePt4zS8BgbDE+0n2Jhs4Npyu7bcWCYtU3pJj6ujqwRWgLbEr3pjvIE2GqMMC/UFurUuT3SeIC1Shn6L3ORsBTV82+ewnTA8dIha/QhQQusQ9tM/COcvYAYDysGWfMuVVUkabsimXRfl+xIcFSjXA2MwVeBWvo8xuhITVxm7bUMQYNXr2PUaRlkU29tY7TbU6yjbhjzHaI1OkipL53rWblly7P3jxjFlUWC5LqZex2400IlYvCqtUWUpFw6vamICMAZdlqgqazfGkK+voycTlBZ9hj07h9EaKwwxWkujUpphihJnqUuwvcOJw/OcOXSIfliyff4CeQlevcapmoc1GVP0rjAuc3IvYDawqI82qR1u49c0RcPCYcT8YEAt82B7nVqccHj5ODvjlCO9VWxvxHfcs1xMbE4u1HlirlHNpsyZaQTkWlcFUk2clgfFyUJnzDc9AtdhvR9Rak2mbBqBi1+zODVfp9Dw+vqAvNRoI5ax+8qWUktTUVKUjFO5A1xuB4SOxdowZpKmdIzHJMuZJCWWUsRZQezbHO6EWLYNxrDY9lnpReK/blsYY8Q9su7x9FKbo92C19aGbI9TPNuiE7hgif1BnGmZT+o6tAIX11Y0ApeiMDy73ObyzoTNUUy35vFTzx8hyTW/9sYGh9ohzcA5GKrcCl1+/JlFfunlVRq+aOXTQpPkJWcXG5zfHPLscodrexGHuzU2BjGKfd7b5dLumM+dOHrP7/V3i678YWXkfwv480DzThsopX4W+FmAY8eOPaTDfri4tSGo68st13a0TdNtgoI4j9mMNqUoVTkNvtt7l9Pd09TdOp2gg0ZzqH6IzckmaZliYbET7+DgcKR1hF7SY5SNyMqMvXiPszNnWR2uynxHrUnLlLiI6XpdbGySImHNGjKXWMRLS3wHQy0taPYGFL09dH9wnZMGCEMs10XnOaqS+alQGi2csIaxLBiPsWdn0UVB2e9LIu44qCDAJIlk1ArsVhN3+TBWrUbebKIsCx3HqHqdcmODcjQSbrxeR1kWyvfQu3sSwJXCqtXQ4zFlmkIcU4YhdhWETSre5Zbvo1y58NlKUY7HktnnQvUYy5J1LC5RDoeQZRTRBKMNlmVhNRooz5eiqda4R47IOpOE7h/+Q9idDgDRK69w5NgSORn52hqWbZEXBSqK6MzM4LRaOComSnsMX3uZJM4ITMGzZw6xlWrytWs4G6sU9RYEAc/OdxiPJnTGCWeLAS987jnSXBQXnmPzZ37oCb5xaQ9HUQ3PkKLa2WaTSaZpBTbpXo/k4gUWBiPysM5wdoEibDNMMq71Yg61fM7M13lna8I4yauJO4qy1DQrF8as0DiWohXIYOakkEKyrRT9OBN1S0X5GBS61AySkvmGy+YopRl6LBtR7OyOM8apuFz6jsU4K+jUPBqBw5xj0QocdkYZG6OYsO5zpO2RarlNcCxFPy7YGWecnq/j2hYzdVdoIFt8Xlb7MY5SRGnBXMMnyoqb5H8vHOtwdS9imBQ0fJvjs82DdYeuzTgt6dY8fFd0+ruTlCPdkJrvPHKZ9YepWf/AgVwp9RPAljHmJaXUD99pO2PMzwM/D9IQ9EGP+2Hjxkaftt9mN97lt1d/m6dnn0ahmKvNcbl/Gc/2DhQrlrLoBB1QsD5epxN0WB+v86nZT5HpjHE+ZpAOODtzlnf67zBXm0MpRcfvEOURtpLpJjPeDOvWOrvRLo5yUCie7D7JYmORQSLT3tWRZZxLA9xc42mL/OVX6V94kyDOUFY1UaBWk6CaZRjHQbkuptRYnod/7Dj5+jrlaCQ0RquFNzMjOpSyxDskjRjleEy+tgaeh9XpYrKc5DvfwW41wfMpRyNULcTs7uK021h5jq4Kn1atJoHWEfdFy3EkUy5LTJJIwPV98o11CcL1OspxsOzqAmLbmDzHCgKMpTBJKkE+CPDPPonl+1AUKMuitGxMPMFekmK0027D4cNQlrizs3hnzlD2ewdBfB8K8I4cQccxZjJBj4R28g8tkW9ukU0mWErRSRJ0mhJ+6lP4sy3qWcH2qibPS1yjOTlbJ/Qc6QwdDXnyUMD6TI1hnHN6sXnwpb26FxGlBVGuqaUTns16tKOYc0PN4WOHsKJ1vl4U0G6y0Nvic5dexApC1mozXD36JE8sHWb87mWW+n32LJ93vS7bBDLNR8lgh9Io8lxjWSVlnJEbGeXmOgqdy2Bk6bI0xHlBVwlNkRaG+YZHVhp8W3F1T6wOWko4dYNhtRexNUhpeDZJoQlcl1OLHqcXG7i2xXI3pBflrOxGbI9SLFu07KvDhPTyHjXPZqbucagd8upqn+VODd+ReaW3k/89d6RDqQ01z7mJxz6z0CDOSxq+TVpo8ZppBxydqXF0pnbQHPSo4MPWrD+MjPwHgJ9SSv0BIABaSql/ZIz56Yew748Ntzb69NM+Lb9FP+2jlGIv2sMYw4XBBU60TlB36zw79yynOqdYH69LEbNzip849RP0Usm4T3VOHbT5Xx1eZS/dQxlFQkLgBKRFSq5l8svTM0+zOdkkKRNOd07T9tsETkDLazHKRuzoHWaePkFZWuz99tewrqzjD4dklk291abo9STTTlOhIWwb23VBl9idDioM8Q4fJt/ZQXkedrOJqYKiyTKK0RCSFF0FXNz/P3v/FStbluZ3Yr+9tt/hI04c76636SpNdVd1k91dTTW7ORpSwKBHBoIECRhAbwIkQJh5lGZeRpAAUQ+EiBEgCKQkQCIHGHJopstXV2WZzKy89+b19tzjT3i7/V56WBFxz3WZt1yyM5mrkMisOGH2iTjxrW/9v78xwfeRUpLFMVm7g5ZX/iJZr49mmmg5D8M0SG2LtNEknZ4IbBtGI2S1StrtqtvSFC2nYtWM+QWy4VB1zUmCViwhwxA5GqnCXa+j53KAxJibI370CE1KDNdFnD2LliSIdptwawvn4kUyfwxhRBZFGMvLpOMxMgjQi0+Pb8zFRUY/+zmarquNY3K9hueRhKHagHQd+n1kFJENh/h37mCUSzilMgvVHOHAQy8p5gcAUYRmmhTrVepFjbCzT3rUR+8USTc2WC67REnG+axPuP0h/WFA185RN3OcvPsR3doiBhmndm9zcvcugWHR0w3MOOT3bv81rxdf58FcmetUsHsDXuvtcLu6ju/k6AeJwtgtZZAlM8koVlFwhm5gCH0S6KRYMmkqCdOU/jim4FiMI43T83l22mN2uwG2IVireDRHMeMwxjUNdF1nrxcgNLANwWFfsUkuLhV4Y73C37m4yC8fd7hbGHK/MaA3jslkiK0LGgNla3ByLk/Fs7h10EdoGr0gpmAbDIKYvG08Rf97GY4Nyv2w4llstUeEsbLQna/l/0YOLH/XnPXfuJBLKf9T4D8FmHTk/9svehGH5wVBo3hE3szT8BtIKfETn5Jdoh/1SWVK3sxzsnySvJVntbjKyfLJ2aB0jeexuj/d+FP+q2v/FQKBLnTG8ZhEJry7+C660HF1l7JTpuW3SGRC1alyv3efTGYUrALDeEhHJFynxalOHxbnoNFjLGPsKFRF2TCQc3PQ682ogHp9Dve111UxLBSwc54q0qMx1ulTxHv7CkpJTYTrkvUmMI1hICyLLElUgYsitDBEsyz1M9fFXFgkOThAGiZidVVh3lFE5vsT2mGssHkhQGhIP8Co17FOnEAOBkRHR2iTzSRLU2QcoedyWKsruK+/jrmwQLy3j2bbpO0OWqGAyDLMxUWMwQBRKIAQCMsibrVBSnWi2N/HqFbJf+P3Z+9/2u1CmqJXymRRRNbrER8e4Vw4jzFXJ/jkE6SuY1arZIMBxsoKcm+P9PCQ8ZWr2JsbmAsLZIk6XaRBoHDqfh9rZRmjXGZ85arivpcryCBgfOUqG2cvcPWwi/HXP8CyTEorZdxxwGtWRPtwTLnX5NSwRa61z9jxEIbJwqiNP7fAfGhSbO9z9vfP0YibHA1DbFtyKu7SmJ8jzsbYhpg4OkoO+0rJK4TAMjQMoVwVx0FKzjGxLEF7HND1Y+aTlNPzZTqjGMsQiipo6NhCw9AkhhD4cUZrOCJIUtJUuRoWHIP5vM1u1yedDMbDJOOjxx3COKXoWVQ8dftyyaXrR3TGIWGiwpW7oxDX0pnLFbl9MHjhkPJlOPa0wAeJCoPOOwbVvPU3Umb/u+asf8Ujf8l6VhCUM3MM4yF+7LOUW8LUTe607xCkAZmfMe/OkzNz+Ik/C5z4NNOtlcIKF6sX+eDwA7phF4GgYBVoB21SUnJmDs/w8AyPXtTjBzs/YK2wxmZpE0MzGMUjwjREPt4nMwRDOcb2NJyBJCTGsiyFEY/HUCxir66i6TpGuaxMsMplzOVlBWUUi8T7++iVKoMf/QitUJhxujXTRPo+jMeIuTmSRkM9p9CQxoQ+mGXIOCY+OkIKNRwzy2WFyQNJu6UUiIHCwEkSdNcjGY1Iw5Dk6Eh1w6pNJGm3MYpFtFoN4bozmCc+UGEcRqVCdPcufreL5qpO2j13jsIf/RGjDz9U/PMkQcYxaauJlmVEW4+I1taQW1uk/T7J4SF6bY78u+8S7e8T3L6Ds7mJubaGfeoU4d27aFGkNoHFRRiNFL4/HmPUaiSjEc5rr6NXKqDrxAcHSMC9eAH30iXCrS2E5yFc9fejTf7tHO1xMYvZl5Kx6eLqguXlCo5MsYZdejsPOZ/EGEf3yTSdxPMIy1Vq8YjlsgtD1dmtVjzMYIQ4apNrb/NQTzgZJXSHIbGTJ1pcIc1b9IMYpJxR8+43hpM4uIycbZKzPQxd0PUj7h0OqRdsJBqXlkvcb4xojWP6QYqpa+y0R+iTTUETymqgM4qJU5gvWKQp/Isre/ytM3UcXahufBRSdE2aw4iCI3FNganr3NjvU8vZoEnKrkXXjxFCe+UhJTwp8J9GMfybsn7XnPXfaiGXUn4f+P5v8zn/Xa1nBUFlu8zecA9d6MRZzP5wn6JZ5PX660RpxIPuA/aGeyzmFlU8HDyFsU8l/VPTrevN6wgh+NPNP8XSLR52H/Kdre9wNDriROkEqUxpjBuUrBJ1r06WZRjC4G77LsuFZWpujQ/3P8Q+6mBWdCqHPuFcgUKQER/2sKSO5nlIXcewrIkhh45ME/zr1zHn50k6bZxTp0EI3AsXGF+7hvQDRLmMbllqiGmayNFIFfVcDq3XQw6HoOnITkdBDxMsO7xxA61Swaor+qU1XwfTQnNssvEYzfNItndI4wB0XRVB3ycNAqTvIzxP4f+2jV6pqE6508a/fgNzcxP30iWybpfo8WPMxSWMxUWyCXQEahDrnDnN4Ic/hDRDWDbOu++hl8tEjx9z9I/+Ec7FC5jLyySHh6SjMc7ZszhnzirmSy6PHI3QCwVyX3uL4MFD5P4+chJ0rGka7vnz6IWCenyrSfFP//Q53B0gvXYNvfx0gdEch7TbwQXWTywj01Th/EA6ChGNQ9z7t1gDkpLHKErIwhEEBjUjxDJMsHMA5BOf5GgHYWiUV+qEe9vEcUpQWsXWM6y9+8QLJxCeTdmx8BydJFVYsyGEyhYtuaxWXBoDn16g3sO8axAOI4YT3ruUEltoygVSQsEWZJrGwE+wTBUikXcsDCEYRDGuoSv5f8mlMVLReKMomWDvikoohMZrKyXWqznGcUpzoE4F4zBlo/Y3r5v+bazfNWf9q478JetZQVDFqcw8x291buEZHkv5JTzDwxAGF2sXWcwtzuCUaRF/1kxrq7/F6/XXud+9T8EqYOs2O4Mdfrr3UxKZMApHHPlHlOwSpjAJ05CcmaMdtOmHfQbRgMfDx9TdOlKTHDAkyhlkecjHOsO8RaljEGsm+YUFjLU1hGGQHB2ShREiX8ByXDTPI9reRpMS6/x54nYLvVTC3FgnG40xymXV1W5vI1ZWIImfFG7TeJL4G07i0m1bFXR/TOb7WGtrWCsrRAcHiEIR3fUUHbBeRwQBabNJ6vtgGFjz84pho2lkSYIxN6ewet8n7XTQTQttdxcuXSJutciCEGt5GeeM2jCzMCQdDOh/93u4ly9jrq6SHh6RBgHCtpG+T7S1pdJuxj7xw0eEDx9izM0hdB33zTcRuRzZcDjB4sE+dYq43SYd9Ek7bUSxiFEp45w+BULHWF3BqNdfWMQB9GIRGQRorks6GJDs75N0OuilIsbSEpptE167hswyNNMkbbfJwhC9WECOfSwmuZq1MlLTYNSiVSyRLa5gNRtU73xCdnSI5tjoep2caxOMWlzevU5QW2TOhjeOrvBBbhmrvE5tqULQ7rK0t0vaH5CrVZjbOM1+kiGEzpureVIJ9bxDdxSz0/VZqbh0RhFHg0Bxy53JIBqJYwp0TcM0lErTNnWOBgEXlwr0/IiT9TzLY4ft1pihH7G+nqPkmZyZz6NNWCrTIWWulmddShrDQJ06XmF90VwLf9ec9a8K+aesFyUCFe0iDb9B1aliGzZhGhImIafKpxhEg9n9nsXYQXX2vVAJX7SJ8GZnuMN3Hn+HYTRUm4JrECYh2DCKRqRGyseHH1NxKxz6h4yTMd2gi2d4CASjxSL5R306S2XsNE84iBiv1kjn56l6y7PXyTKpus/Ll0l7PeLdXXTbJtzdU9LrJMY6eYrcm28xvnJlNviTSYJeLFL6839AvLdP8MknBOPxk0IOM+WmUasiCkWEaZL0uqSdDtHDh2iFAubSEmmnQzoaIaMIqWnopZIyXjo4IIsiTMtCE5rqxPt9Bc24Lka1StpqKVgnjjHm69NIm9k1+p98gu666OWSwtjDEN3zSBoN9R7EMVo+T7y9jX3yJMbKCsnBAf6NG5gnT2KUy/h7+5irq4oBohtYi0sIy2L8wQfIOMZYWQGhkwUB1trqc8PTtNslnEA3mhCkvT6a6xI9fqyYRIahYJm9PcLH2+i1GmkQEN25g0wSnJMn8KOIzFDKWU3XycKQZDDABNa+8Q6HbgX/ow/wRh3Onluja7gMb96irpvEpRwVDMKkQ68VMyhU+NuXS4T9PeKxznxwiH6+zpUHMNffI/+jO0TVDUpnzjNfrGLqGlutMdXMRxw9Yk6G9AwXzS3RL+TwojHu0SPysc/AcLhrVsCt4JiCOE2xDI1KzmatqoZ6J+byeKZOkmWs1TzOzOd5fbXM1Z0uu50xW60xJddkqeySphlRIhkEMT+4ffSpxXnKAMkyaI9Cbh0M+HCrzd+5uMhGLTe7z9+0Qv+75Kx/Vch/xVWyS7w29xo7gx2G0ZCcmWOtsoYudDzhze73LMYOykyrYCmq/cnSSX559Es+OvwIJOSMHON0jClMPNNjEA5IZIKhG5ypnKEX9TB0g/6wTyITGn6DnJnjEUds10IWO11Ca43F0zWG44ySU2RDVIm2txGWhSgU0ItF5U/+8KGCEqpV9MGAdDggGwxJen28d97GWl0levQQGYQYy0uYlSoyighu31ZdtMYTkY5hqGEpkIURekkjGQ3Jtrcx5+aQmoYMA8Jbt9BMUw1AswzdcRCVCmm7jcwy7OVltEIBGUWE29sYpRJ6Po8wlYTRvXABs1bDrNXw79xW4hUgG4+JHjxQqs/NDYgTsuEQ4phsqkadqkzDCN3zEJalIKNel2w0pPNP/gnm2iru2XNolkna7aihac7D29zEOnmS4U9/SvTgAdqFC9hrqyB07I2N2WebdrvPDTdBEm8/RiYxerWKtbSElBBsbZF1e2imge66mKurmAsLpIM+uuMoFtDEskAzDIxiEWtxEXvcZ2V3C+e918g6q2RJwrxtM2xuK4OyhTKd3QPMapm5aka5nKP+7mn6nT4HH13FlwK3s8ffHbfZsgsk+TlORj2y1iPiao7Tp5cJ2l2Mx/dJNI3cXI2TjkZ154BtabG0dRsnCSFJGMWwYVg0yu+QpCXqBZszuSJxkrGy4FEv2KxVPRoDl6KrfNALjknPj+n5MalUcENrGHJtp0u9YLNezWEb+gx6eBk972FzRJbB4/YYx9Sp5236fsRf3TjkP3p7FeBLY0/7quurQv5rrEtzl0hl+lyYxBQbh+cx9mfvc2nuEtea1wjTEEu3iCe+Jo7hYAiDXthjPjdP2S5j67bCyDHwM5+V3ApBGrDd3yZMQkTR5aEX0bJHvG4tsHDjgHFrm+qJJRarFxB7TQzTQFSr6JalONyTopkFAWa1CkVBvLPD+P2fYq6uos/V0Xo9RM5D5HL4N27OkmEIJlL+iUjnvz464h82GhylCTVd539Vn+d/fPo0UbOp+OujkYJVQBXUKCTL5ciaTVWAiwWYDFXtU6dIJ1REkcthLcwrZ8blZZLRCGt1FWEoY60sCIh3d8niGGNuDrNUQrNtjEoVdJ3w4SNFa9QFmuMQt1rYi4vqFNBuk3S6GPU6mutin1RQiuY65L/xDTWstGw1bHVdSn/6d4gePSKLQvRqFXtj4ylY5UXDTaM+T9xokHvv6yrFaDAgvHsXGYbqlLK4hAwC7NVVpGkikhjNcRRLyHURYUgaRQjbxlhcQAidYGcHkS/gnD5NePeuGiIbBvHODvpoTNkwMD0BwsAoqabB02Fu9z7WhYuE97bIBgMuiT791ZP0ZUqn26R+5Ufk9DeZ3z9kVMzx+wsVGoMQDJ05z6D0wfukxSpOHBJIiZApl1ZrLIh97i6eoYHFWxXByqhF/+YDBqZLtrKKNNynivNf3TjgRC3PG6tl9ro+hq6zUvWIkpTNudwr0fNU5mmIY+o4ptrQi65FYxjwsDmaPf7LYE/7quurQv5rrGfx84JV4Ez9zFNQyrP30dDQNZ1Pmp/MGCzz3jwlq0Qn6JDIhJpTA+BofIREspxbxhSKShZlEUf+EZaw6Md9un5XKS01HT/2KTtldKFzJb7PH3ztTYpbI7rNI6QdsvG3vsnciXOEj7YI791D6jpaHJN2uxhlhcGmjYbqbkcjosMDnDNnsNbXSIOQbNBXAz/bntH2lFOTzn/dbPJ/ODwgmFDPmmnKf3l4gAb8Dzc2FE0xl1MMmtEIikUwTLJuV4mG8nk0w1SiJNcFXeC+/hppp4N36RL63ByaJgjv3iEdDNFdh+Kf/Rlpv0dw7x5pv4999gzW4iLx3r4afk46f7NSQZw6CUlCfHiEWa+rFKJej6TbxVxcVJYDrotwVEJN0u/P4BF0g3h7m3Q8Rvc8zI0NSBO8N9547m8i7ffRyxWy4YBoahvgeUg/mGHlyf4+muMgXBdNgrBtMlAbar+PKBSwTpwE0yJ++JA0VPRM5/RpNMtCs21EtUr86BHOaTWkDm7cILxzBwA5GpH0eqTtNt677yI8D//jjxn+4hckzQbJYIg2GTKLIKD84Cb1+XnkqTM02wMG/THL+/fpnTxP3jFwLZ29no857LGe1xnndGI7z5LnUXcEUmj4ScqFrMefvXYO885NhOexeHYNGQTce3gb68xFvInRnGcZpBM45HyxxLlFdZKTUvLDO0e4pv7Ue/oyel7RNbl1MKCet2e3hUmqko181RB9WexpX3V9Vch/zfUi/Pxl93lRHNz7e+/TGDW4ULvAvc49mn5T4e2TDn09v04v7BGlETW3RnPc5GB4gKu7xMT0oh45M0feytOP+ti6ja3ZDJKBUml+4yJHMqVSPcehsFiob6CXSiSNI3TXIR2O0F2HLE2J79wh7vcRhoHUNLK+T7yzi1GtYm+sM/rxT9AKBQzbJjZNUtNUcEWS8H9tNmZFfLpCKfm/NRr8T86fJx2PFRJjmmSuiyYlwnVV1z2R6wvbRisWQdcJbtyk8Id/gKzP4775FjKJ8T+5jihX8L75Bwp/b7fx3nid/De/qfD8KEa4LiKXV0PFdhviGO/tr2HU5wHIhgPGN24QPXqEc/Eien2O5KihYJ65OXXhloUc9FURF4Lg+nX0UgmRz5NFEfH16zgXL7zws9aLRdJmg+DOHTUHmLhACssiaTQw6nWS0QgxsegFDRmGZHFM9PAhei6HsC3IUuzNTez1NYY/+CGahLTdQVQqRFtbZL0eyf4B4w8+QMvnSbpd5W0TRxhzc1j1OtH2NuOPPsK9eIHUD8hGQ9A0NfC1VYK9mBiVmSsreLbJ+vo8zpll/KiFH/Vo6HNEScLJuTy1jolZPIEcjtBLNTRtEirR62GfW8V0JfrRHvKZE8lQsygc7Slj9d0dGA5YDjSOSnVYetL0+HFKveC8Mj3vxFyOD7fa9P2IomvN/FnWq7nZ/b8s9rSvur4q5J/DelEc3MHogFbYIkkTKm4FP/UZjUaYmsnZ6lmqTpXD8SFpmvLR0UdU7AoFp4ChGfiJT97KYwubqlMlZ+UwNINW0KLu1FkrrmENQtzDHs79WwztjPTddfRymeKf/inC8wjuPyC4f5/43j0yf4xu20q1ORqpzrvTIbhzVw0cCwXSZgPQ1LHf82auhIfPBkVM1lGaMM2DneLiWBZ6tYK9vkF4+zYyTZURl2EgNE3BK3GEf/sO5uICwc0bZGMfvVTC2txELzyx8gm3tvDKZeyNDcZXFIQl8nnMtTX0Wo2k0SDudIh2dxVEs7RE7t33sJeXMZaWGH/8sYIs6nWEN5ltTFSZerGocHb1G7/w388ue2OD9k9+QnxwqJSzhkk2HoNngi7QLKWqlTKbdfTB/fuE128oNsxrl0mbLdL2DsnhEZrros/NkRwdET5+jOi04cRJNNNCX1pUvPUsVaeq+TrECUmrheXYWKsrJAeHRPsHWAvzZF4OGSeYy8uk3Q7xw4dqwFutoklJFgQ46wryMzc2SH76Pmu2oU5hpklGinXqFONrn6iT1YRPj66jWxbJ4SHBJ59gzC9gLi/PPqdcMUe0t4c96Kugj2KJctInfHSX8UoZt1qZ0fB+71SNBw31nn8WPa/sWfydi4v81Y1DGsOAqmexXs0hhCrywJfGnvZV11eF/HNYL4qNe9x/jCUszlTPcDA6IM5ihCYwNIPF3CIaGhWnQj/oo2kaFbvC5bnLdMMu+8N9MpnRDpTEf9VbpeE3EAjeXngbaxAibj2gNneSyLXwYsn4ylW8N15HL5fJf+Mbqjvf3SXOJhG5pokQgqzfR5MSaVlk/R7B9euYq2vKC6WQJ5MSprDIfJ15XecwTZ/7neu6rqh1loWMnhxpraUlrLU1jIUFghs30FyHtNdXXWy3g14oYpTLWKdOo2UZZCOMuRrxwT7h/XuIXA5zcZEs8Gcskcwfq5NGPo+xtIQ9v0H48CGariu1ZxQR3LmLtbaKsbSE98Yb2BsbDH/yPtHu7nOqTHtjg/G1a7iXLxE+eED04IG69tUV5cXygqVPICpRLM78YexTp0AI4oMDSn/2Z082nYmXjCZ0rBMnsE9sKsWq44Btk4XBDHqS4zFZHCGThLTUxjl/Hk1o6gSFBnFC3G6jFwoI00SzlDmZzDLlaWOaqoAP+mTDgbKHL+SRaYLwciT9HmYYEO/tYywBYQCuN/E619AkGHN1EALvtcuMrl0j290hC0L0Qp7uv/rXOCdPIk0DWi2y0Qj7zBn0QoElR+NBr48sV7BthzBJwXX42tkl+oe7dJwcxdjnxKiB2/BxLZfdXJ2O6X4mPW+jluM/env1pcyUL4s97auurwr557CmDJY0SzkYHXCnfYdhNKTm1siZOU6VT7GaX+Ve9x6NcYMkS3BMh9P50xyMDtjQN7BNm5JTwjZshtGQht/gawtfI0xDBvGAmlvj8txlgjTg3s2/xko1jvohK9ky7y69h0j0WRerl8u4ly7hX7mKVsgT/PJjkk6HLIrQpt22ZUE+B0Ig4xhrbZXw9h3MUolIShgMyIYj/hfz8/yfDg7UbZNlaRp/ubSEvbFB0m6jeS6aJpR/igS9VsM0DKIHD1Tnm6boC/PI8RiRy6MXCmhZSnDnDvHBIb1vfxujWFDwSbGEXqvhvfH6jCVirqwig4BsPMbe2CDc2sLa2CDe3kZGkbIRCEPCR1tU3noLYLKh/T7j69fV3IAnqky9XFZQSbsNaYZz8qQarg4GRAeHpN3uC/njwnXRK1V0x5ndlgbB7L/1chnvjdcVBt/tkEUh7uVLJPsHCju3lXAq7fUx5ufJhkPsjQ38CSSSRRHm4gLRoy2i+/cRXk51/62WEm/puqKVVioYi4toulDd98oKwvVIeqop0PMFtDSDKEQzTJJeH2mYxK0WMo5xLlzAnIi6ADLfV0PefB43DAlu3VaeNzs7mBPHTD2XI9rZwVpdJd7bQ1tfx8tiNjbmOfJcBkFMzjbYrOWUyrTbwXZ8+j/5HjJLiSsV3EqF08F41nB81vo0Ot+XxZ72VddXhfxzWBvFDd7fe5+94R4Fq0AiEzzTox/16QZdSk4JicQ1XM5VzpGzcxTMAlEa4egOlmUxTsbs9HdIZAIalO0yf7LxJ8y5czNGTM2p8W8f/VvKiUucd5AyY3+0zygakvMWFK1ussKtLfRKRaktd3ZJ+v1Jio/CT9E0NE2ZXWdxjDZxSBSOg1YqKafA0Yj/5coy/Z//nP/X3h6dLKMgBH++scH//r/8PxLcvUM6GqPn89hrq4h8ntHVq8T7+ziXLmK/dpno9h2MSeecmRYakmh3F//2bXW0F8r3PB0MEJ6LMRwR7+4ibIv8N775nAR+Oqg05uYQjkOyv086HCpGSc57qkDo5TKFb36Twje/+dxnZm9s0Pnol2iTAA45CeCwJhuF94JCY58+TXDjplKBTh6T9ftP4ep6uYxXLpN2u0QPH9L/zndIDg4xN9Zx1taQoxFazlP0RSkVrFSrIaXEWl4muHETUS6TjsYK408SslB56+j5PHq1glEuz3D/4M4d/AcPsKo1rOXlGaUxevQIvVJGr9aIHj6AR4+wL15ACKHESnfuzIa8+uIiZE8gIWt9skkGodICJAlakuCcOknc7cJRgn36FN6Z19G3tihNZhjTlfk+CEH/e99HMwz0QgWiiGh7RzUML3l/v1ovX18V8s9hlewSRatIz+wRZRF5M89KYQWkssvVhY6hGby7+C5rhTW+t/09WkGLil3hvaX3eH/vfQzNICMjTEKCJGC9sM7d9l12zB1OlpRB13e2vsN8bp76sokWpZBlxPt7PNj+NxSW38aoVBhfuULa7xM+eIC5tIw8OECfr6O328T7+0jfx1xZJh2OVCF1XbJOh7jVQq/XEZaFUShgrK4iFhYIPvqQ/+x/9j/nf+ePlaPi8grlv/cXWBsbDH70I/RyZSZKAtDr8/hXr5ANBmS9Hs6liyTdLvHDR2SDPplUwRIil8Ocm2N07RrCtpWVbZIqWXuhQPDJdQp/8i2AJ8rJ0UgNC0+fVm6HhcIMr818X+HUr7j0chlzaZFsNFaKT8/DOHNGDQmPbYjHl3fpElmvT9rrqY3HMJS3DTD40Y9ACAXhDAZEDx+SDYaKz2nbxFuPyfoDiGKs+QWiBw9UwY5j1Y2PfbIwVJ/ReETaHygYLJdDcxzMUol4bw/75Ans8+dwTp1SMIrn0vs3/5asUMRcX0cvFPCvXUNUq2RxhCEEuB7CcQiv3yDt9Rh857vKJqFaxVhYQN/ZwXv7a+q9nrBz0vFY0UYn5myp72OsrWEkKd47b8+Kvg2zGcbU2z5pNEiaDcJ79zDn55Xfj+chgLjTeUrs9arruBhLLxafo4d+1s+/6OurQv4rrE8zwfqsJZFcmruEpmkMoyF3O3exDRtd0zlbPYsf+1yau0TJLvH3T//9p17HEhb3u/cZJ2OqdhXHcKi4FXJGjtXiKn7sA9D0myzkFoiXDdxf3sU46qB7FgM5IDlqkOzsKtbEXB3Ntom2trA2NxF7eziXLmGUikS7uyStNlpe4aiEoRpKGgZJs4mwLKz5eZzLlxl9+IEyoGq3EZUK1soqMo7p/+AH2CdOkBweIpNUFYn794nu3SM6PIQkIff7v4dRqxHcvkM2CVmWQagKhOvO/MiJIigUMCoVsjhCL+QRhQLJ4YGCU5IE/+pV0uFQmXs5NrqXQ+RyiiM+KR7ZeIx35tNZRs8uc2lpxoiZrrjRIG011Sb1goIgSkXixhEAerU+83zJ4pjg+nV1H9dRUXVJqoaDjkPw4IGy7Z2fx6xUSPt9pJTIKMJcWcHJFxhfvUrSaGDOzSGiGE0DzVIhHOZ8Hb2QhyRVdggS9EIB7823FG3RtJBpStpqYczNET1+DFGkQkTSlCTwyfyANAoBDRHHSFBWwLkcyeoK4ytXCB88QLNtNA2MYpH44BCiCOE4an6gPy2U0stl7M0NRr/4BdH2tmLYSIlMM2XOFgREjx9jra8rO4NWE+fUqV/pc3qRGOv4TOizfv5lWF8V8ldczwZNPGuC9VmrYBX4+/+9v8+DXz6Y3bb+zjr/+f/jP1dDz2M89GepjYNowKnKKTRN427nLkmaYBkWw2j4lIfLnDvHMB5SLBTJ8g7ZwCYOx+RyJYxCFaQk6XYx6vM4m5uMr31CtL2NBJLdXZJeH2t5hTQIyAYD0n4fsz4HiUS4Dml/QDocKq71vbuMfv4LzHlF75OjEf7HHyNKRfReD+fMGdJ+n+Ff/1ipKDVN4b+Tbnb0gx+SjMdohkHcbKqYuDRB5AuqI9M0sn4fvVol9cfIOAahgyaQQYC1sko2HqsNYnsb6ftkUYS1tEh8sI999uxMpakXi+qY/yt+aY8zYjTHIWk2CW7cwL144bmCAMyKhfe1t5FBgP/JJ2qjdF3i7W30UgkNCB48UN15zoHxGPvsWYyVFaKtLYRtoVkWpb/7Z8SttvKcmQwuhedhLi9j1uukvR6iUFS8+Swj3t5BX1ok7XRJRyOSO3dUcRSC4t/+24SPlGDJv3ULbThU723OU1YCwyHx4aGaTWgCa2FBBW2EASLnoeVyjD/+GGttHfvMWfwPPyA6OIRMbdJkUsFBSULxT/74+U740RZ6bQ59NEbu7ZGlKUJXr5uZpoLAGg0F9T2jmH2V9TKnySlE81k//zKsrwr5K64XUQint38WnxzgL7/1lzy49uCp2x5/8Jj/4n/0X3Dr6q1Pfexxuf8oHs3w85ypqFZTD5d3F9/lXz74lwDYWUb7RIVRbPOHK38Adw/Q8nnFKQZEvoC9uUH/O99BSxLSIMCs11UgRZIgw1DR8MJIfQGCAPfCBbJQCYTGe3uY9TpGrUYWRch2W7E/2i2cs+cI795Dzxcw6nWie/dIowizWiETukoOGo0ULXE8VgNJXUdzXbQ0RZgmekltaubyMtnWFqnvIzxXFTrDJP/Hf4T3xusMvvtdklZTdX7LS2i6QdLtoT18SOnP/uzVP+AXrGeHk2mriXvxwoybfrwgAE8ViyxJiHZ2iA8OcM+dI242MSabHoCYwAdpEGACmmFgb27iXLwwG9hqhqHw/Xye+PAQ++TJWVerOQ6Z75MO+gjHxVxeViyWnKcshqN45s4IgKHj37hOtLtLFviYS4sIUw1Qs9EIJuEaYpLrajgOWRiilUqq6E8shUkTNMtGn3TTwlN5rbk335wNio+vaRGNt7fV4w0D3XHUpp1JJSxzHOKjI0Sx+NxG8CprCvccX1OnyVf5+ZdhfVXIX3F9lgnWZ63b127/SrcfX8fl/jkjx9H4iHbQpuYqJWjZLlNxKqwV12YOjU3dpxLn+drKH1DpS4bXryuf71oVa3ERY3FJ4d5zczjrG4g7txW0MRwqy9kJLp32uuA4k0LrYK+ukg76hHfuKK+Ufl8pPSfsliwMyXo9stGItNslPjwkSxMFjaSpSiKC2fBQxjHCtpWvSi5H3Ggotz9NU0V8MMA+cWLmS2JUq1ibm+S//nXF2HBsrM0TGJPw5qTZnKkbX8Yu+VXWdDgJzDD/4+t4QZj+bCrFF55L5iv4J2m1VBKT52GtrZKNRoQPHkKWMZ501e6FCzOoxiuX4ZiCdHzlCsGNmyqE+JNPkEFA3GwicjkV7GHbZFGEc+kyuuthnzxJcOcOw5/+lHj/AHtzA+9rb2Otb9D/1/8a6/RpogcPVR6qpmHMzSmf+GqVpNlEkxIsS/m9RzHeiU0Aon0V7KF7aiDrnDqFqFQQ+fyL7XyPY+r5PLrjqOQoKbFPnSTceoye87DffOOllsCf+Rkdc5qcruOJUJ/18y/D+qqQv+L6LBOs3+U6LveXSLYH26wV1mZQyoPuAy7PXebH0Y8pWAW+tfEt8vN/wvjKVdLGgOHPf67ENoaBphv0f/gj8u+9S9puqz9my1JfoCRFlMuMP/gAvVRSRT1OEGGIsbpK1usrZonQlJDGMIkaDfWFnxRloz4HlsXoFz9H5HIkRw3F8x6P0TUN69RpksNDFcys66pog4JTkgRRyCNME6KIwh//Ed6lSwAvHVQZlQpxo0kyGKgCNHFi1PK53xgHfXZApgnxqQXhWSm+WZsjOlB2BcbiovJRX1pSlMNWm+jePcX71nXM5SVEznvJlSiYJ7xzl/ToCHNjA63TUTi774NtgdDw3ngLvVojaRypTTqfJxsp+Cra3sFxXcx6Hfv8eeK9XfR8Di3nYa6vqc9pMFD/TGYKmm0jDB37wgWslRUAtVFOIB+9WlWb1OPHyDB4auOZLk0IRr/4BcH168g0xZybIx30FcQURWi2jbW0pLQNr/A5vWho+SwE9uxM5LN+/mVYXxXyV1yfZYL1u17HcfOKU6EbdhnGQzQ0bN2mHbQpWAVutW7x/u77vFZ/jQsXNon+6T9ThXduDmdzU2Hc7TbB3bt4771HtL0NUYQ5N0e49RhN0zAXF5UtbaWCdWKT5KihOrRSEevECZJ2G6c+T3j/vlJ5CoE2EcPotRrh/XvILMOIYzAMNNuBJCEajTCGQ/A8dNNAtjuKr5wkqqOMY8xyBS2Xo/T3/uIpWuDLsEzntdeQH/2SeGcHmabohoFWKOCcP4fwvF8bB33RgCzt9QGJUZ8ni2PirS3STgf3jdexVlcJHymIJWo2Z0XRWl0hiyM0Q8eYr+NevKCgq8Cn+Od/PoNpQDFrXna9KtFpCaOxSnTzJkmjibmyojjinqdUqULZ3sa9HkapjLW5SXj/vqJ2drsMf/5zjGoNYZrIwQDn8msz87S00yF8cJ/w4SOMUhGqFYx8HlGu4J49p+x7fV/BMBOvHbNeR0z8d4KbN5VvzbGNNu12iff2ie7eRZRKpO024aNHpIOBChXpdLHWlf/9r/uZTDfr4xDYszORZyGyX3dm8jd5fVXIX3G9ilHWp60Lly9w85ObL7z9V1mDaMCcO0fdU4KNe517mMKkH/W5372PbdhU3Srbg23SfMqmqZF7403ExHZWeC4ZkmRvT/1/XSea+IHL0ZC020VUKpgLi7gXzqPP1UmaTeXz0WljzM1hnzpJvLevKIFXPiZtttAXF3DWXoMkIW22SFotstEYa3MDMkncbGJ5Hkmng33iBPa5c+i2xegXH5BFITgOtm2DYeJeuED+619/pfdjSvlLul1M00SYJiKfxzl16jfCQV/sZlgni0KyKMS/cgW9WsV96000wyR8tIW9uUG4s0O8s43wPJxzZ0E31HB2bQ2jWpnR8qYwzbMmW4bnkU4w8qnniwbILCO4fgNN6BhLy2i5PNlwSPToEdbaGva5cySNI7RcDj2fx7l0SdEvPU/ROw8OIE0R6xtqk4liot1dZBBgVCrYFy+qWLs5VejT0Vhtwp5L3GhQ+NafKNxeSqSmYS0sKK/1vT3Gn3yCObkfScK425sVTpkk2OfOIQcDYiGIul3ltZ6mmGtrCNcl2t9nfP36C/n8n/WZTG/33njjUzfs4xDZl3F9Vch/hfUqRlkvWzeu3eDiaxefKuYXLl/gxrUbv9LzPAvxjOIRpjDxYx9LWByNjhgnYzKZsZBboJMDbziEYhHpjwm3HiOTBGNxCWHZMJF5M/ZB1xHzC+iei33qJJplkXY7GNUKubfexL9+nXB7m2ySnakXC7ivvUbS7WEuLaHncoobvLSk+NuapkKSXRfNMNTtxQLOmTMzOX3u618n2tkhuHcPUKIa7wVDs5etqUIzGyvnP2Pi+y3yBTLffwoHfVUucdrtMv74YxACPZ+fPZ/mOBCo58y9+95TtESApNtFz+cp/vEfE23voOkTMVEYEm1tkXvrzSfXXSwSbz1i/Ml1SFPlaeL7qit/+BDn/HmwnRll0b18iWQ4IG00yXo95WCYz0OzyfiXvyTtdDAXF5j7y78k6XaRkXIBNJaW8G/fVh45lkl0/z7R3p6aXYzHOJcuIYpFwhvXGV+9ShYE6DkPPZdXXPUgUHx3mG1CabtN0u2SNI4I797FqlYV1TNJnxL1pP2+Un2Wy2iVCiaQHB2RxTGiUMCoVpFxTNLr4V+79pmF/N+HoeWvu74q5J/jmhbt43z0q42rvxIf/VmIx9AMBvEATdM4GB9g6zamZpKJjJ3+Dum5Oou/VAPZuNOeKQG991QhytIEc2kJ+8QmwZ27igo2GuFfvYaey+G+8fqMDpb2+mSDIaJYnHmT2CdOUL50if73v08WRRN1YZX4/n3SJCH1xxi6roQjpokE9JqKcpsWUmtjg/xnfImfXc8W5dy77ypoI0sJ9/ZIOx00oVP8kz+e3f9VuMSz+1k2UgiIE4I7d3HOngHdUNL9FxQUmcT4N64jx+OJedQS6WBANhwoHNp7WlVqlMt0/r//P7UZWBbRY7XB6vU6Sa832QjEjLIYHxxglEpE2zuKihlFpI0GaRCgz80pTxndwL9+XYU/T2AekVeWB1GziTYcQiGPjEKMapWk2SDr9ZSR1u6eEoAZBpomyHwf4brKNmFt/WmTsm4Pa3UNKaWaHTgOIp8jPjpUFsHtFu758xhLS8pRc4KFA2S9Hpgm+jSf1bKU8Va7/Zmf+b8PQ8tfd31VyD/n9Zvy0Z+FeFYLq/SjPjeaN5gmP8QyZq2wRpIl9OZcyv/BHzD6xS9Ir+9hLC7hvffeLJlexjESjWh/H5llRFtbBI8fI3Qd/Y03CLe3kUkKhq4yKisVJXsfK+m9KJWwNjbw3nwTGcXIJCG8exdOnSL66U8hScnGY8yNDfRcDnNxgazTwVxb+63i1+GjLYxqldGHH0KaYpQr6NWq4jCXSq/MJZ7ez9rcVCEQjoNm2wSPHmEtLeOdmUAGxwpKNhzgf3JdDRd1neDuXRUYcfo09qnTqjg+oypNul1EuUTa7hDfvo1wHIyVFeRgAPkcYiISsjfWCXZ2iB8/RrNt5HikTkqNBjIIVJiG40AYYq+vk/QVzHQcEzYXFxR1M18gPTwk2dsnSxI00yLe2wOhKf/2+XmlgEXF52VRqLJK5+cVzMPTeHO8taV47JMMVmNuDlEqkzabRAeHOBcuIKOI0YcfziwEZJJMCn9euWMmifKQOebtMv2Mj2/URrlMNhziX7mKXqlgbmwoa+Qv2dDy111fFfLPeb2Mj369eZ28lX9ONfoiNenxlbfyrBXW2O5vsz/ax9RN1gpr6JpOnMXk3BzWxgbWxgb2mTPPKRU100STEG1vE209Jul0lKVsqURyeKhyOE95+Deu433tbYSmzWTvUsrZsXbqJhgfHCj4pd2GNMU5ewYZhhiLC1j1OjjKi9z6LePXAMHtW7iXLj3n6zErCK9wLJ/eT2ga9pkzT0n/p937s7Lz4NEjAPS5OdKHD9Tpw3VJDg5UEPXKCvlv/P5TrxPv7yPjGLNcVp1wlpE8fqzeG0MnW11DRiHBjZvER0dIQEhIDg4x5mpY6+sqHSkMEboAxyHp99Eie1Z0QQm1svGY8YcfoeVyZK0Wca+H0HVESUX/pZN8UKNSUXDH5NSWdlTknf/LX5K2msjRSLlLTpki5QqalyO4cwchpVL+Tuik1sYG/q1bapguJUmnozaNJMYqriOzjHQ8Ul4r5RLua5effAbPbNRJs8nwr3+sTM3eepNwawv/41/ivvHGl0qd+Zusrwr557xexEdP0oRrzWu8vfj2U136ZnGTR/1HT3Xv7++9D8CcNze77VH/EZfmLnG2epZu2KXpN/FjX+WIRh69sEfJLhEuVdj+2XcZGxlevsKCXsEpFslGY6J795C6AVKSZRkiTVW3Ph6rjo8n9LpnU+HTbhdAcaN3dxRDY30NLZ9Tfh3VKsJUCTfTUOTf5Ej8sqKcNBrY584/d/uUqfAqx/Lj95t6tZgTn5aXsSBkGOJcukR6cIBermAUi0SNBun+PsiMKE3wS0UVk5dl6MUiydERupcj3t5WBT8IFPyg62SDAYPvfx9hW2TDkRINLS+jWxb6/DzZoE/caiJKJbQgQDgO+twc8ePHJKOh+gwHA8gyRlevkQ0VNVOPIxVnp+sKvx4OScZjZBKjGSbmwoK6Dk1T1gujIaamkUTKcyd49AjXthl3e2Do2JsbRNs76DkPmUmVpnTjhvKD7/fJBn302pwSK9nKXjfp92e2vMZcTXXbxSLuhGYKz2/U8e4uWb/P8Gc/xzl3FmdzE06dfuoz+fd9fVXIP+f1Ij764/5jynb5uS79Fwe/YL20/tTt09i4teLaU/eNkgihCcp2mUE4wHEdZCaputUnm0K0hXt+k/xem6jb4YHT5/w7f4x5d1sVl15fBTXn8whdJ+12sRYXlPDj9GklsR8On0uFH1+5CoaOTBLcc+fVlxZUOMX2Y/RcjjRJ0cJQ0RLX15Xl7PzGzMTrVYyMpsftqd+Hs7mpJP2oomzU6y8t1se5xDKJVRFut3HfeOMp4dDLOMcvutbp8E8vFpFRTDQeK+vYVouk2VQmWLkc8dYW8VEDo1LGffsddd+dXeXJkmak/lgFLpumkqkbJlmnS9IM1PCxVET2e1Cr4V64oERTwwFps0k6HGIUCgQPH6rfXdPoP95WAh9dRy8USEcTOGYwxKxWFR4tJXGno9KKbBttCnEsLamQ7W4Xo1REM0wwTdKjI/woIu32sDY3yLpdct/8A6w0Jbh1k/jxNtH+PuYE9sj6ffyr18h94xvISVKSZppgGGTtNs6ZM8rG95gIavY5H9uo08GA8N49lSCVxGS9Pv1bt9FrVYRt/9bMr77oplpfFfLPeb2Ij7432mPenefK0RVyZo7F3CI5M0fTb3K2evapxyfZ84k8ju7Q8lsUzALv775PIhM2S5ucrp4mb+XxE58f7vwQQxgkMiG3kmNpcQNrr8H2z7/Pcktinz+PnaTEzQbR1mNkzkPYnjI2Go9nfiL9b3/7qVT4KTvEv3EdhI5+rIiKchkzCifBEjFRu6W6c8uc8a5f1choetyWWYYmdIKr1wjv3iP/e19XNL7x+MnAk+eFH9Muevizn6noOtPE3NxERvFTr/sizrE9v/HctQ5/8j56qag8yo+OVOEej5W1a7FI2p5YHRwcKvfGigrQiB8+wH3jTeWfMhph1Gro+YJSPx4cqE0ln0cvlVQKj5RKgj+/oARaW1vE7TbCdZDaZMh66xboAmE7MFG4Zs0mciKtBxR7ZqLaTZpNMHSEEJiTgp90OoQPHiiPlSzFWl9DE2pz1mybtNVSsM/CPJomiHb3sLYekbQ7OGfP4d9QbKy41UJev65OC/k8wf37uCdOPDnVJQlaIY9z+TJpt/OECXOskE7N1sx6nWR/H1EooCUJUgjiw0MlJOsPECvF34r51ZfBVOs3LuSapq0B/09gEciAfyyl/L/8ps/7ZV0vCmV2DRepSQqW8lC517nHamF15jV+vHuPs5i2336q6AdJwOHokNpcjZXCCpZuEaVPUnmSNOF68zpvLbxFwSiQdrsc3PqYpbkTxJ6OGCjjKmGZ2OsbmMsrapDl+9hra095aBgLC9jnzj9lTTv9kj7LUCCK1KBP6LiXLj1VXP1bt0jbHbLhQPmouK76whr6UwyW6Rd8/PHHkGbIOEavVHAuXyZ6/JjBD39E6e/+2ZNCPBlsvkz4Ee/tY585MxPCxNvbzw1ej3OO026X/re/rcIeKhWMyZA42t1FO9hXaT9CqLSdTpdkd1exPSazBDnpdIXnIU2TcHtHFfIkUYrOhUU03VCZoIeHCE1T4qzDg5mSNNrawsjnlfXAYIBeKSMHQyV7tx3lVDnJ/xSTXNBk0FeS+yQBIci6XVWkJ4wXhFCZnz1FVRTFIrphkDabJP0+qddDd111nUxmKWISDhL4SA3a/+//j/I0X1wk7XSUb72uk45GCu7J59VQdmNDvW6aIodD3AsX8K9/MvPz0YTO6IMPkFmKXqkoN8gbN+DiRZLRCKNaJXz4EN2x0VxPYe69HrnNTTTD+I3Nr74Mplq/jY48Af43UsqPNE0rAB9qmvZXUspfjSD979E6zke/2rjKueo57nbu0hg1SGRCJjOG8ZC/OPEXPOo/AlTX3fSbdIIOjuFgCpMojbjevE6SJpytncU1XHJWjsPxIY97j/ng4ANOlU+hC52iXWR3uEsqU+Yf9shbNgdJm00WIE2VrNxzVeJ9GGIsLlL8kz/GesaJ7mVYs7m4SHj/AfHODnqtilGtqSKQxFjnLzz1JcmGA4Y//jH2yZPErTZCCJKxj2mY+FeuzjaO450SQhA3WzDhhuu5HM758ySt5lM+H88KP9RzXJl1eul4hLWyqqhvkxT7tN1GM55OcH/y2KskvR56tUYWx4qRIwSiWCR6+BDn5EnFJklT5HiMubqqbHlHIwgCVdRHI2V+ZT1JrNF0HXN1DQwdzbGR/T4yCkklymxrdxejXFYziUaD4UcfKWtez1NQVZxgep7qUDP12ght5mfD4SHYtorQ0zQVVBEESpVZKMB4TBb4KqHJccAwkL4/g0GydptMqCGqJiVaTjFp0vGY4OZNMEylD8jlCa9dm/DPVWKRjCJlfSyl8jMvlwgfb2Pk85jr62SaBoOhmiu02/S/+z3M1VXMhQWIIpJhB3tjnbTVhCxFcx0Kf+sPGf7kJ6S7u5AkGMtLysb3t8Aj/zLw03/jQi6l3Af2J/890DTtJrACfOkK+W/iR/6yNYgGOPrk2KmCEjGFSZAEFO0im8VNZYLlNwmSgHOVc9S8mkr+iUfkzBy9rMecqxJhhCb4+ODjmTPiw95D7nTuMOfOYRs2NadGpTdgP2eQb/eopXnIlbEvXSJ68ADZH+C+8fpTxfRZGtiz8EXSOAI0rPV1FVpx7z6h9oDSt76FlvMUXntsxZ0O2oQ7rDuOwk6jiKTdxlpefqH9qJ7PEz/eRsvlSJtNxPo6RBH61LjrmZV2u4yvX58pMO2NDZUN2uuT5roYFfXF1SyLtNXCPv28B3a4pXjpcjgkPDhAL5XQCwXinT2sEyfUnSyLbDxWYcip6iizXg9tkraEZaGVSkRbigbpXL5E0jhSg8Zmg6RQxKjV1MwhScnSVFE+gbjXU9mdQqBNCm00Hqm/FSnVySeKyHzl8Y2mq0250QBdqFxVXVesG20SnG2aCMskS22IY/W4IFCRdFGEVq2qE9Y0m9T3FV+8XFb0xF4PSiUY+wjTxKhUFLupUiH1fbQgQLMssiRB+j7lf/APyP3e14n39ye/c+upMO3g7oF6r8JQnfJsGwHKLXNhgeJrr6mZRZaCaSnztSSBOKH3b/4t1rpStf4m68vAT/+tYuSapm0CbwE/e8HP/hPgPwFYX1//bb7s57KO8791TX/K02QaCPHrrIJV4GbrJhW7wmJuEYAwDcmyjOvN66QypebWEJrgo6OP8Js+7y6+y5mK8niRUvKTvZ9wo3mDRCbcbN1kPjePn/i0xi3mvDlMYTKMhlSdKkmWsK/1qQYF5kYGTsEimQg5jGIB58L5WYf7Mr62vblB0u3O4AtRKiGjmGR7G/vkSZzz58kGA5J+H2cyLD3+JUk7HezNTcJ796BURkipQgwGA8yNjVlhPt4pWUtLBLduq4IfxxhhSBYEWGurz33hptcd7+2h1+YQmoZ/9SpJt6s431ev4r3+OqJcfmEYwnQl+/tEh0eKG+0HZGOfZDCE0UgFNa+tqutpNJTAaXWFbDyeXVe8tw9xjFmtIkslVegdF//WbSXg6fdJWy2Ce/cQhoG9vk7m+yStFnI8IhurSDQMQ/HLJ3BI1GhAls0cKaf+7UTRLHgZCYQhmW2rYi2lKpK5HGalQhgdwngME+gF1wXHQfo+aRiq27NM/eN5kGWIfJ6s11MnLdPCqNWId3YUJz2fx8rnSINw8nvamBvr5H7v6woHn2DhvX/zb8hGykde9zx1oqpWSY+HWlvWLGBiOrPof/vbGIUCSbM5S4nKDINoZxdzcfE3crr8Mphq/dYKuaZpeeCfAf9rKeVzLZKU8h8D/xjgnXfekc/+/G/SelHnPeV/p1k68zRxTZef7v2Ua41rLyzor9LBV+wKt1q3sHSLol2kYBXQNZ1T5VNca1zD1E22B9tYwiJKIrpBl+bDJn/35N9lMbdIy28hpWSYDCmYBbphF01qdMMuutDZH+4DCls3dRNbtymcOoN9Z59yNyYc7CN0HXQDUSoTPt7GCkN4442XYodKcPLE6W7wox8peGISIAyoFJ9WU2mUxsoUafol0YSOubKq6GgHh0qEIgT26dMqCX7iAni8UxL5Arl332Hw/vtoaEhDV4X0BUEE0+uWaTrxUvdJGk3VoRaKSNkn3N/HGA0RXu6lHtjpcKhc/opFZQ7VbJLt7ZGGIfqgD7ogOWoQ3b9PBljLy5POeUwyGiEMHefyJZVzOvFRMZaWiA4PSRsN9b7n8yrkWdOwVldJmk1V1KII5FiFYKep+seyVGc6GoHnTcKspQrf6HRU5mqWqU7bVGwTzbFVmHYYqrAOTSNKEhgq2f0UViFWkn4m9sLouvpnYimcpSnJ3i6iWEL6Plom0ZIEY26OdDgg0zSEl8N5+x1021ZwVKlEfHDA0fvvq9OXlyM52EcKXV17miLTBGt1DU0I5X8+Cbk+HjChl8uz2Yx/5YoahqYpuuuiVSsY9fmX4tmvwkb5Mphq/VYKuaZpJqqI/1Mp5T//bTznv6v1MuXlOBmzkl/h/kAV8VSmHI2OSGTCnDnHD7Z/wF89+iuW88tcmrvEWmHtOQ74swrOXtjjUf8Rm6VN2kGbQTRgFI94Z+EdwjRkb7RHySphCYvGuEEsY3RNJ0gCfrL7E9YKa2z1ttgobbBWXGMQDdA1naPxEcNkSNkq0wt6+Ik/g1r6UZ/58mnSix75xhGEIXqtpmTenkfa7yuPal6MHWZxTHjj+tNfjGKR8M5d9FpNsSImYclaPkc2GOBeuMDoF78gaTQw6nVy77wzg1Fkks5ScMyVlRks0Pz44wlmK2fmXXqpTP7tdxQdb8LHftEXc3rduueRRZESquRyyCTBrNfJPA90HRlFWKdOKY+UUum55xH5POlorAqM6yKKBWTDxKzV0PIFxr/4gGRvDy2fU3g3UtH2FpeUb41hICwb5/Rp0A2SdovuP//njH7xAZrjYBSL6jrSFKlpxAcHSvE48V6Rtq02pGncXhAgwxBQxUeYJtlohO44ZBP8POl2mXZJ5tycKsJRrJhDuZyK7uv1nnTiqEGmHI+fFPPpIHsKxbiuYookKaJYhMAn7XZJBwPVncfxDB9PGw0yz8Oo1TCrVYLbd0h7PaSUjH7+c6U5yDLMtTUQgrTRINndo/Qf/odqUNpqga4/t7lON3UA65RKy5JhCKbxUjz7V2GjvMxU64tCS/xtsFY04P8O3JRS/p9/80v6d7teprxsjBsEacAoHpG38uwMdojSiEE8YLu/zTAecrZylmE85Fb7Ftea1zhfPT97fJql7A33eNR7xBvzbzzV5a8WVzkcHwJgCYvHg8cITbBR3OBgdICf+riWiytdgjTANmy2B9vkjBwrhRVyZo794T5nKmc4WznLve49un4XP/YRmvqySiRRGnG6dJqyUya1Uuqvb6DvNshGI5LtbYSuo+VyylOc57HDdDAguH4dUcg/9cWwNzcUhe3oiKTdVkZI3S76aMiw1VZ2rpsnsM+dV5h6uz2DZ6wwnKXgaJZJ2myQdHvqtR1X8Zdv3cY5EaIVCp9ZxI9ft7G0RHj3rrKfdV2VEC+Ecvrb20MmMcbK6ku/4ObSEiQJwYMHik4YhmgTOEYGAaJYxHIcsjBQalhAVCpKdj4aYU4GocGjRwjdUA6Sg6HiUvf7hO22Gg6mqaIeGgaiWlGxdzJDr9VUpx3HE4w7ncTdaWpOsLaKe/48cbOJWSiQjscKgtE0RTeMVa6nns+TSanmCa0WWZrOijRSqgKpT4a9E9k8k5xWdF3h4qMRVMrIhw/QbYek01GDVCEwF+bJfe0t0uEIvVRE93KYy0skk2vXDIPs4IC03VapQpZJtLWFubiIXp9Dxgnx7i7m21/DPn3qhZ/rFP7QdGXVKzRlK+Csn3kpnv2bslG+SLTE30ZH/k3gfwpc0zTt48lt/5mU8l/9Fp77c18vSwLKW3n82MfQDMIkpDFucDQ6Is5iumEXQxgcDA8wDZMwDTkaH1EwC8x5cxyMDvhw/0NSUnR01opr9ELVKRetIg+7D5FS0g26JFlCw2/wzuI7LOWWOBof0Q/6lOwSKSlJllDzaix4CyzkFtDQ2Bvu4Sc+B8MDjvwjkjTBEAZ+6qNJDc/w0KTGw+5DClYBQzf4ixN/Qb77mPHDXdXBTXBqokjhtzyPHUYTKbqzuYkcDYn290nabZLGEbm336bz3/w3JO02aaeDbllkgIaGf+s21tqaYoo8C888k4ITpSlGqTSjMGoLilWjFQqQpGieSnz/tC/V9LqF56kknKNDsmYT6+JF7FOnFENnEoxw/Jqe/YIb5TLDv/4xRqWKubZOcOVj4q0t5cOdz6P1+2j5/ASyKZC02hj1Oug6+T/8Q2Xd2mgQ7e2q0AtNIMNAsVr6/RlkISwLpFRJ9HGCMTmZCNtGep5iloQhJCkYmiq6YUh8eKRyO4NgRg3EMFS3GsfqdFCvw2iEKJcV3a9aVbzwwUAV7SxTcIquq8I9wdlnsMoEWyeOSfcPSIUgKRXRPE9BZaMR8fYOo5/+DHNhAaOQR3MdRj/+icLd41gNOft9dfrQNLJEbSRyGrSdz2MsLmAuLT0F2R1fU/hjbOj4V65AtYp9Rp10XoZnfxob5VU67S8SLfG3wVr5a0D7zDt+QdbLkoAWc4tsFDfQNZ1rzWv0w8lATqYAOIbD7nCXmlfjdOU0jXGDW51bLOQX+PDgQ4QmsHUbiWRnsMNqYZVhNGRvuEfDb5AzcxSdIqNoRJiGjOMxQRpQc2vcaN6gF/aouTUWvUWiNGI5t4yGxigeMU7GuLrL9mCbw9EhKSlL+SVM3aQX9OhEHQzdYMVboWgVCZJA4e7xCOG6GIuLKullf5/k4EBZna6uqmO6PyZqHKlBVxTiXlZS6qlTol6tKVvTdluZNjWbGPm84gfn88Q7O2i6TrS/j3NGbRAvPQr3+4pvXDjmBWNZM3Wfe/HSK32pjmOeBD6F3/99xQOv15WUv9MBw5gZh73smsKdHTTXVRLxKCIdDhWve2cHp1BATCxqRc5TKtd6HWtlBT2Xw1paIs3nCXd2VIHMJLiW4uePx2AakGZq4GgYCgcuFrGWlrCWloiOjogfPVQb2pQ2KLNZqAOGoVwRHz4EXcdaWUGMFQwkRyO1MU82Cpll2CsryHZbRfJNMjqZDjWnhdyyoFxW15RlT94I31evKYRKmhqNkZOTBaHykpdxTLy7S3D9OvbFi6R9pRKWvo+MIgVd5ZWHuowixT7yfYTvq5OSbb+UfXS84HqXLuFdujS7TXjeS/Hsl7FREOLVnDC/QLTEr5Sdz6xPSwIq2SW+sfINLs1d4h9+9A85Gh4hNIEudJrjJhJJkiYkWcK8N0+SJXx8+DFZlmGbNkmWsFpcRUenG3TRNI2f7f2MIFFwSdEuYhs2Jibf3/4+uqazml/lvaX3uNO+Qzfscr56fqbQNDEpO2UKdmHWlQdJgCZVgS+IArrQyRk5Za5VXKOeq9Met/nB9g842gl5/cRblA6HBHfuYpSKOJcvkXY6dP/lf4tz8SKiVCLudokfPFCYcatFeP8+6XCEUSyiFQoYlQrC80iaDYxSEWOuPhMMpY6jxCqj0ew9ftlRWC8WZ1REmaXEzaaCRWwLY+oHfmx92pfqhXzy69cJb1wnPjrEXFhAHhu5P3tNaberqIu1OcT6OtGDBwjPIwuUmVS0s4NZLqtAi0JBCZ9ch+DOnclzK9FK2u3ibKwzbrUI79xWv08UqaxNSygRjaahWeYTYZXjIAxdwShxrIptkgAqqHg6NJ6KimSvR9DtgpSqU544BTIek7bbaj7Q6ylTrwlvXKQpWZY9wcqlCkLWLEsxX8ZjtWkkidpAdFMV9/H4CQwzyd4kTUh2d5XtrxAE9+9jFAqEB/uQpKSDPnp9XqVMwQyD16Sc+ZITRS9lH704EejFnfvx9TI2imbo6mT3GU3BF4mW+FUhf2ZNxTrXm9e51bqFlJJT5VPP3WezuMm8O8+tzi38xCeTGY7uMIgHdPwOK4UVThRP8Ne7f41nKhZGzavRGrcYJ2P6UZ85e46UFEu3SKXC0P3IJ5YxcRZzsnSSo/ERQRbw+vzr6JqO0ASnyqc4GB1wq3MLS1gYmoEhDJbySwRJgGM6hFlIN+ySZikFs4ApTBa9RRqjBoYwsHSLrCD4uH2N37NOKtdA21YhCMMhWiYZ/uiHZH6gvgBhOEuHMcol9KVlUt8nbTQw//APnxRZ20aOx2RCkDWbJMOhOl5HEXKCx77sKGxvbKiu7v590m5PCVOyDMNSFLq02XgqGu1X/lIlKe7FSzhnz+J/ch3/k09UsMIL7FDDrS30ahWhaSStlvKfkTkUWCTJel2CkfIuiRsN9EoZy/PIf/090igi6XSIHm1hztWQaUrS7hB3uqoYahpZpwPFohr4ZhlJo4E5r1J3km6X8Qcfkvr+5LontgypOv3JKSc8SdQAUwjVNaPcDqVpPumgkwRzrkYaBGSHypxL+r76HIsFUiGQvj/rwOVwqIq54zx5jl5PbSiTa59dyySgGTSyOJ6xZdLxGN00MVxP5YqGEenuLvrcnNqodRUbJ0wTzXMxlpaQQfhS9tG04GZJQry3R+fRQ7w33/zMwePL2Cjja9cQr9AUfJFoieLf9QX8TV2pTDlfO89bC29hGRZXG1fphb3Zz0+VT9H0m6wWVnl78W0WC4tkZOTNPHkrz2v11yi5JV6rv8Z7S+/NBpKxjAmSgJ3+Dtfb1xXmnoWkWUon7NAKW6RZSs7MEaURmqZhCYtxPJ7h3qN4xPZgm37YZxgNkZqkG3ZZyC2Qt/KYwuRE8QSr+VXyZp6SU6LslLnXuUcn7BBmIY7pYK1vQBDQ3H+ITGKC+/fwf/mRSlcPAoLbt/GvXCHa2kKzLTXcmqgUZb+PcBzskyeRk+GftbaGe+oU0ePHjH/+c6J2G6NWw1hchDAk2d1Bs8yXDotU2s83ZmEKUkrcEyfIvfsu9vnzhI+UbYCUUqXpjMcv5H+/aD0lLioU8V67jCjkCe/eIYtCNENnfO2aUoF2uyo0Y2ODLAiIGw2SZpPw8WPSdpvCN7+JtbGBMExEpYL75puYi4vYk1SfZHuHeHtHwTDNFqMPPyQbDjE8JS8HhTvr+bwK6dB1rM1NRXFsNEiOjkjHYwWpZNkTOqCUT5glrqvgk2kRnt5PSlXUg0ANM9OU5OCQpNMh8wOyQBmXaYahRDtZ9qTDnnTgMooU3OL7qohP6Y9TuOU4kDot7NPNZvLveH9fbf5CIKpVlefpOGqjjyJ0z0Ovz6EJnbjVxDp1ElBzksGPfsT4yhXiSYg1TMyz7t6ddf1Tj5yp8+YLv8MvwcGPM2Cm64VOmJONQLNM0m7nU/92/10vTR4/X35O65133pEffPDBr/3434XC8vi62rhKlEVP4eR+oqLUptL67f42/+jKP5q5DuasHGEacr56Hl3TOVc7hx/71JwaHxx+wP3ufaJU3XcQDcjbeYbhkH7YJ5HJjM4YJiFzuTmW88vK7ztLibOYzdImtrDZGeyAgLpTBw1afovLc5dpBS0cXUn3D8eH+ImPQJDJjIyMiluh7/fRhU6QBpyrnSNIAugOufBhg3MtG29+iSxLSXZ2iPb2Vac5iWlD09RQzvPQZEb+D/4Ao1JFmiZZu419+jRGtcrghz8k3t0hajaRgyGarlP6e3+BffrM5Ivw2UfiaZ7lcT8XKSXx7g7m0tKvRQX7tOcUroeYDu8mXReGjrBssl6X7r/615DEaJ6HXiiCEBjVKsZ8HeeMMjUb/uynkGZEOzuKzhcECoba2SEbDtFrNTTTVFz08RhRrZIN+ghbiXDMEyew19chS4kePCR4+FApLXO5J/L66bUbivcPqIJrGArygCdDyomqlDiedM3M/luvVNAch6zTUaekiQ8KaaoePzHrQih16FO0RMN40pkbk2vwvCeCpMAHT50ShGGouL2asmsQuk4Wx2S+ihXUPU8FTlTK2CdOYq2uKLMt01TRd50O9vkLmPU64Z07SngEYBo4Z84q/cFL/qaOwzJPddMT87eX/exvYpE+vjRN+1BK+c6zt3/hoJXfNGHnVdbLmCvTjnzK/z5XOUc7aBOmIQLBWwtv4cc+URphCYuF4gLXW9fJZEY3UAKdTGZcmrtEIhOu+dfQNZ3F3CLbw21cw0VoAtd0yZt5doe7tP02ruHS9JuYwqTiVrjevM7B4IAz1TOUnTJ3u3cpWkX8zOeN5TeouTV2h7tESYQhDC7VL9ELe/x8/HOEJqg5Ne617zHnzrGyuEG6prNHB8vso996iHHYwWx2YRyQTQZaWRBgLi6gW5YqKmgk/R7xvsrvtM+fI+33VKDAjRsYuTxifkHR727fVkO3iXrvM4/EL/Nz+RRWw2etFz1n2myo9PdiUTFhfJ+42UImMWa9jrW2TtLv4bz2msKAAevECcI7d4hbrVlRANArFUY/+CH63BxZv68izKpV9OFA8aijSIVylMuKP91uQxRhrm8oz5fhkPGHH6qszkmnnh0cICfY94wOOKEMzgp7ls0gF/VLpU+69+l9fF/dLlTxlVGEZkz460kyKfwaJPLJ4HPafU87bXjCcnGcJ8PR6etP5PVaPo+cMHIkKJVmp6MomY6DmBb/0UidOibDWC3NSFot7LU17AsXEEInSVLCWzfR83klsLIssjDEWVeq5k+bkcxEYUlCfPcu6XiMpuuMDZ3CN785g1yS3Z0Z/TXc2sKG30kx/13z0b9whfxlPO+t/tavHYz8bIevoT3HXGn5LVp+ix/v/lg5Dbo1ztfOc69zD9uwkVLS9tsITbCQWwDgVvsWe6M9imaRs5Wz+InP1mCLYTRktbiKRKJpGpnMSLIEXeg4OASxYpWEaUiQBBia+phs3WZ3uEtGhp/67Ax3qLt1SnaJ9cI63bDL93e+zygeoUkNQzdIsoTqsErdq/Ot9W9xs3WTw/EhGho1t8bB6AAj7HLg9dh8dMCCNMiCkNAxsIOJ6ELTEKYJifIdMZcWkVmK//HHICXm4iLB7Ttk3a7qUk+dRBM6mmmSdDv4t+6RNFvYp0+TtDukk5T1l/0h/y6wyWefM2028G/cRDMtNMfFv3KFeHdXdau5HFlXBTmn3S4il8fa3Jyl2evlMpjGzAsdwKwoK12GQ9VRosRTRm1O4cG6oZgqEsTECEvUapgrK5CmBI0GGAb+nTvKd+V4cRbiCSY+LeZT2uB0TYv38cIK6t/ToaQwFId9Aknpc3XC27fVzxxHdfm+r55/Kt9/dk2pidMBrOcpM69qVYmTCgXCScc99ZuZ8dTDkGwK/Qgx2wzkxGfHLJWQcUzWaqGvr2POz6vsVctUnjcywzl75ikP+pfNSNJ+H3SD6N69WbRcFob4V67Mwr1tUP7qtbnZ39nvgif+efDRv3CF/LO65V91vajD70d9iFQKz9Tr+0brBhdqFyjZJe507jCOx5ypnuF05TQHowMa4wa7g13+aP2PqLk1gjTgJ3s/4UTpBLZhM+fNsT3YxjM8HvUeoQsdAwNd19kd7uLoDnWnziAecDA6QGYSXegs55dxTZcFb4EbrRu0/bZitgiTcTLmUe8RGoojjgZBHOAYDmgwikdYukXBLFB2yoRJyDuL7/DT/Z+SypRu2KVkl9jlHsbBYz5yJOcXz7KxDcKxiesmVl+pCeVkeGnMzyPabbr/4l+goZF77z1EqUSyt0fm+8SdNt7Fi0SPtyEICO7eUwMuVKfzItvYZ9dLPcG3tkivXfu1OppnnzNptXAuXiTrdAhu3iQ5OprYC0g11E0SksEAc24Oa2Pzqfi4uNEgevRIHe0nm0L4aAu9ViXa3cOs1aBYwFpaJNrbw1xYJD7YV6rHMHwCWZgmycEB5sKCgmPCUIlvdF1RBB3nScE8XqiPS+qn63jhhyf3OV7ss0x16bpO+OAB5toa9toa6IL44FCxWCxL8dCffT4NxaJJU0U5RPnNo+toWaYsGiYF3jl9mqTXQ9MF2WhEOgmU4Lh6FBTLZnLCyFAJU1mWqUQklF2M5jp4b7wx24hTPyDa3VPYuK5T/OM/evHnXSwS3Lj5tG2EpkG1+kJTNvjd8cQ/j9f5whXyl/G8C1bhUx718vWiDn/OmyNKFDzSC3u0/BYXaheoeyogtuJUGMUjDkYHM6Oro9EReSuPYziM4hH3u/e5373P495jTlVPYes2g2jAzmCHvdEeg3jAemGdlt+iaBd5b+k9dKHz4f6HhGlIySpxtnaWmlPjo8OPuN+9zzgZY+omqVTComEwJMoiNTBNQ3phD6EJhC6wsCjYBYIk4OOjj1ksLOLqLh8ffUycxliGRcku0fSbbOfHfG2Y0s1Jbozu4zgxcwOJpgllVKRpaqg2Uf1FRw0yf4xwXJKjI+xCYSaMiXZ3SQdDsihSAppWG2tlBWNxUTnXheFLbWPhBbzh114D+K10NMcpiVPMPE4S/Js3SQYD9HweLU0QroexsEB8eIS9vKw6bY57xQiKf/LHJN0uye4O0cEh1uYm5soKnX/+z5QCtLBClqTITKoCJ1Fyd10Vw8xxyPp9ZaaFYh1kaaogGcchngp2dB3NdWcS/ec68ZetMHwyxARVSOUEOrFtpRs4PEBzPUS5hHAdsiB4MkCFJ1398cdPIts0z1UWu/2+8m3J5dA8D9pt9GoVs1ZVcMW9+yqAI4qRxqTjn0I3E5hFFIuz30tLU8QkEjDr93EuXph9dvbmBv3vfm/mW25WKrNw7ReJwkY//onC5ye/dxYE2GdOv9CUbbp+Fzzxz+N1vnCF/NN43r/OelmHHybhDKr58e6Pn7rPUm6Ju+277A33GIQDNKGRyIRVb5WrjasEScAwGjLvzrM73OVm8yZ5K4+GxjAeMufMYWBwr3uPTGasFda42bpJ3atT9+qsF9aJZcxqYVWZYmVyZoY1587RC3q0ozZxGlO2ykRZxDAeMopHZGTo6GRkBGnAnDuHpmn86PGPKNpF5nPz/OHKH/KDnR9we3ybVKY0DJ+P62OW+hp2ktJYcNAIqJkltNTErlSI9nYBTdmnSglBCDmFK2bjMdbq6oya2P/Od1SQgRDo8/MqXGHCMtFcd2Yb+zKL3GcLdhb4SsSTJIiJ2EZ43m/U0ejFIkmzSbK/j14sKgx/PJ4NA4XjKOy0UECCSkACzMVFRD6Pf/PmxJa1iSiX0V0HUa9T/vM/p/+d7xLevq1UlYZKTZK+ryCGqdweYDwmePhQ+X4LoaL1VldVx95qqQ7W81ShS9OZB85ssPlpa4qrT9eULjjxmdFsG4SusPLReBaQIdPkyYnhWLElTZSoSUrI5dBzeaQ/flKYJ/mucrKpJ+0WdHtPvF6m7Jrp805PGICmaUpDMOHIa7YNaYq1soJ3LMsz6XZxL19+Ybj2i0Rh7huvK0vg4QCRyylsXTeUvz2fH0/883idL1whfzZhp2AVZmKdV1nH8XANjUe9R0RZRMWpsJRbIm/ln+vwNTQV4CATcmaOpdwSq8VVrh5dJTZiKmaFM5UzmLpJK2jRGDVYzC+SyISt/tZMxu+aLp7h4RgOtmWzaC+yN9zjYHTAqcopzlXO8aD7gKbfRNM0HnYe4poumZZRNIuEacgoGeFZHmEWMpIjhCZmvHNQnirT1Y26+IlP3szT1bqMEgW1aJrGhdoFfrjzQ/aGe4RpyPaKhUFMaKa05uEPO6ClitImkwS9VFYdW5IoYUwUKc6x65IFAel4TNJqoaHMmrKpgVK/j8znSba38QFzfR1h2xjl8nNddv9738feWH/qCJoOhypB/fJltHwBoojgzl3sM6fJAv/X/juyNzYY//JjFfCwuYnMMrXx1OtqOBmG6OXSTBHqfe1tkmaT4MYN7I11wp1d0m6X4JNPQNcZ6AL73Dnyb79N+b//HzD40V8rXvzRkWIfdbuqq57K3qWEfB6CgHh7W9E0FxZUunyvp/D0iQ+78uI2n6YiCvE8vAIzt8LZfY/fPn2crqObU7zcJx0MsNfXEY5DdHiAZqOYLNPNIAgUfu6YqnCPxyRCqNunTosTewBh26ALjEpVRdBNGTRTYZMQ6lTgOMp2IUvJxmP0QgHn8iSJKkvRTAP30sWnOu1kf1+FRY/Hsw1dy+Vf2tm6ly4po69n2SmTWcvnxRP/PF7nC1fI4emEnV9lPespfqN9gyAOMIXJKB5xt31XKS81fdbh98Ie/aivlJJWgTiNud66znJumXO1c6zkV9A0beancqdzh4PRAXfad/AzH1vY5M08URIRpzFFp4gpTDKZYQqFHUdpxOHwkLvmXZIsIc5iPMPDNuyZp0vVqTKfm+dx/zFhEpKkCbZuk3fydPvKIEvTNIQUoClqXUZGnMVoaERpRD/oc2gc8s/u/jPeXngbS1hoaEqdWiqxq4+ZayXI7gjfNWl4NkIWcHs+hlVQg75cTrkKBgEyUth5MrVQjWO0fB4t52E5Lmkup7i/aYo0TdJGAzSN6n/8H5N0u8/jhmlK3Ok8JfpJ2+2Z2vB48EC4tYV74cKv/Tekl8tYiwsk4zFGpUy2uIC2ME8y8Ro3F+YRnke8vz8z4Mo6Cq8f37iBjBRlLxkMlG9LuUyyu8dg7KMXC4hiAc22kEnM+BcfPKH1Tbtx20boOtbly8oIqttFlEpkvo9ZKqn3slJVwQ5CIEyTtFhUgQ+6ror7dFOYromb4VO3wZPiPh00ui7Z2EdzpIIZ0pRof1/lrcaJUvCmKUIIleYz8VrBMFSohO/DlL89LcyTjSMdjch2djDLSu2b9XpPfmfXVcV8IljSpEQYJvabb+KeO8uUoO689joyDOl/7/tYiwsYS0sY5TLRgcrr1Ayd8OFD/CtXMNfXcV8QLDE97R23mDCXlp6S839e9rWfx+t8IQv5q6xe2ON68zoPeg+eUmdO8fC7g7sUzSJFq0icxnimRzto0/bbfGvjW4Dik185uoKlW2yUNhhGCr7IG3mKVpG8lafpN9kb7nGvc49hNGS7v60GpvSpOBXiNEaaEs/y8Axv1lUDCCkI4gBDGJi6qdwVoxFSSg7Hh9ScGmEacrpymqPxEQ+7D9kf7ZO38kgklrDoB30MYSCRM+VnJhV1TJv8LyZGaIKEhCAOOEqPuNm+SSfoKDgmy9BMDfIe225EnA64csbmraGJPQhIWgd42BCESgVpWYhigWykKGxGpYK5tET08CFxu6WS2U1Lya7n58laLYxCAevkCdzXXkdm6YtxQ9siuH7jqY4r7XYxFxcI799X4QZFJYeP9/dVV89n0xlftoylJfQoRpw9RzoYqI6v0wHTwJyrE+3vKb73JOItC0P0uTnixypAI7p3D6NSQQ6HCF1XisZSieFP3sf52luq2Fy/QXxw8KQrnfK801TRAC2LbDxC5BT7I2k0lGipVEJzbES5jHXqFMGdO0+KqedCGEF6TNQy7diPwynTwAlQRdw0Z0yUbDRSxThJwHXVQHtqqzDZLDIpVactJRSLGMUiWRQp+f90TfnmjqNw6DBUm/n8ggqQbrdn1yIm2Lz6sDWkpqHl86QHBwRI8u99nXQ8ZvTDHyojMMdR0FRtjv73vo85VyPa2yM5aiByOTTXI97ZxVpceipY4jhLxFhZRZ90wC/1Iv8cuOO/69f5UhbyXtjj/b332RvtUTAVRHKrfYt+1Of3ln4PDMXoKJgF0FRHfLpyGinljP0y7dyFJgjTkO8//r5SUUrJSn4FUzdZK6zx490fM4gG2LrNtf41LNPCM70ZrOEZHrvDXVzTZRAOCLKAul2nYBfoRT2CJOBk5SRL+SUlzjAlW/0tOn6HIAko2AXSLJ1h3rGM6QU9clYOXdNBAxMTXehIKTE1k0hGZGRIJAKBq7uM4hFhEqKjU3EqHAwOyMioOTV0obM33MM1XTRNIx/C2IwoYGIMBoxKFvogwXNdBdxkKTKM0F0Xkcuprnpii6plGeGjRzP/b21SlJwLF5RKbnIUfhY3zIYDknZnUnAspdy79gnZoA+mhbW0pEKBG03ioyPsM2fIRmPGH3zI+JcfU/zjP3ouX/Sz1vEjr8jnMdfWlHDH0NEsmyxU0ME021N2OgpOcmykpiketGGgmQbJhO8d51SajmFaShQ1NZyKY9XZTuicBAGyMAlNDkJEpYKez2HMz6vUIsMgbjRxzp4luHeP6PHjJ6k9x5KDSCewi+MoFeZ0TTaLGXVxItfHdVVHPaUkgoJIkkRBPVPIZMIX1/I59Tv0eiRR9CQebrpBTIv4tOhPEopkmigfmVwOOXFvzMLwCT4+EU2J+XnSfp/46AhjcYlkf5/44ABzdRUhJaP3f4oc+ySHh0qklcsh3CEyjlVgd7WKUa8/hZN/kVwLf1vrS1nIp/h50VQmVKCUmQejA767/V0u1i7O4AY0ZqELU2z8OJNFaILrzes8HjwmZ+aou3UeDx7TDttKjm/m+eHOD2kHbYI4YCG/gJ/4ih4YjxU/HJ3l3DJHoyM84RHKEDuzmXfnGRgDRtGIOI2J05h73XsIIVjKLdEKW+y2dskbeaQmaQUtTM0k0zKFjWcxru7iWR6mYdIcNwky1aUJBAbK0nQYD8lkhiUsgjTgYHRA2SmzUdygMW6QZilFp0iURIySEaFrcq7rkUQRcr4KI5eB1aNsLaLlcmiA9/rr+HfuKm/uLEOfyMHTZhMtn1O+LeMxWb+P/bf+ED2fI7h3X2HS62vP4YbBo0cI18W5cAE5GKjudooPC2VyZJXLREmsuMaDgUqJqdXIBgP63/0elf/BP3jlzvzTjt5TLw5raUm5PIIqlrquIt6WlgkfPVKy9/EYa2EBzTDRTZPo7j3l+x0EpEdHiskxhVUmQ7YpfY/+ADkaqRCG+Xmy0RBNV/CIKBTQs4zx1atP3A+nTojP8sennfZxT/EpM2TaoU9ZJ9MOe9qtT/npx020prbBUiJH/hNIKIqeKECnz6frT1KFDEMJi7KMcP9AvW/HaZPT65tclyaU3S6OA3HM8HvfQ69WVdxco0E8GqFXq0SPHpGOx0R7uzgXLsyCJbIwRBjPB0t8kVwLf1vrS1nIB9GAJEtwLbUTj5MxR6MjHN0hSRJl/RqN6couju5wsXYRP/Fn7JdPmp88NTw9GB/g6qqoa0LDMR1yRo6/evRX9KM+eTMPEo7SI7a6WziGQ8kukcmMNEuZy81R82oM4yG2btMKWoRpSJzGZDKbGVxt9bZIZUrVrVJwCliGxeH4kGaghp9JmoCmpvydoKOm/ZqOqZuqs9Z0BGIGuxStIrGMidKINE3JtAxTNzGFiUBwMDogyRIs3SKMQmIZo0mNwUIebzchHfTQyZBkSNvC2jxB9OgRxnwdY3ER/eCAbDREIokPDtQUXtNIWy3S3V3M5SU0a570qEE8SQ9KDw7Qbt4k2T/AXFoki0IIfGQY4ly6pFJzJvayUkpGf/0jnNdeV8ELwyFZFKNVKmhx/Fys3K8TGDA9eieNI9LhkPG1a6r7SxKM+jzO2TME9+8T3r6NZui4Z88RbG2hmSaikCcLfKJeT9kBl0rIiTc5oKCgadesiycCm6kYJo5JOh2sUgkZ+CS7exgrK5ibJ4ju3ydtNp901dOiO8XBp2tayAeDp9kgxwehU+bJ9DmyTG0Kx4u8EMhuF83zFCY/iV4Dntz3eAzc9PmmbBhdVwZeE967HI1g4oU+U4lOrQImA1BNCNJOB1EqIWybuNFQg/VCgWhvjywI0EcjsuEQUSySdLr4H3wAhok5N6dmF2eeD5b4VVgiX5QEoM9aX8pCXrAKGMIgSiNsw1YsEKFRdsrMe/PkzJwynAqHmI7Jve49TpZOzmT+x7nqEknOzM3gDQOD5fwyaZry4dGHVOyK6pb9Fn7ik8qUKIlI7XTmlWIIg0E4QEpJkATITLI72GVvtEfFqqBrOi2/BRosuAuquKchmczwdI/D8FBtCjIlk5nqtidqzyANCFL1nEIX5PQcUkoiGZGQYGgGvvTJUBuGq7l4pkeSJfTj/iyEQgiBa7j4sc+99ACnkPG3Hkt0Y4wolagvnlQUuX4fvVxC5AsKp9QEUhPo+TwyjpFJohKGdANMi3Q0RPZ6yH4fY2MDLV9AGAb+3bsYtSoIXfHBi0U1QDy2ZBBg1Osqrf2s8jQROQ//ylX0avXJHaNIdcEv8LN+0Xr26C3ThGh3D73Xx7l8GZmk+DduYG+MiLtdwomwJPfOO8StFnqhgPtnf8Z4YoYV3r2LRAVReG+9RXpwoKiNg4HqOEGdKia+3Uy45JimSgdqtVSosJTIvb0ZZGXU60Q7Oypo2XWV9P3446dMlOHwSVGe5IAyHD5hiUyGxTMoZbqhTCX2xwImZjg5TCAU1GM9T3Xz02IuhHqdXk891nXRPQ+RzxMfHqr7jIaKpjoJbwbQCwU1iI8itEJRKYalJBv01e89yRBNJ3F0yYS2qQ8GWOfOIrs9go8+QnzjG1irq6pb73Rw33h9hpO/Kkvki5QA9FnrS1nIN4ob7A33FEZOgX7QJ0xDdKHPJPiGZlDP1Xl38d0ZF/3446dcdc/wMITBMFYp9Ggwika0/BbdsItAoOu6soWNMizdIpEJnu4hENiOja3bynRLs9gd7dKP+ti68h1vBS3VwZtKVdoO25wonyCTGfe692j5LaIsUs+fKgOsjAwpJUIKNDQSEkbpCE/zlCe6TNCkxjgez1gphm4gE/WYcTwmlrHySRe2+t01GIQDHMNBZpKtJcHRVoiuZZj4rHfGBI1rIATZ2Mf/4BfEj7dBZqSNFtr8gjJGcl3kaESW+aStlnLXM3SMWg05HmMuLytb150dhj/7Odbmhup0L1164Zcv9+67hI+2Zrcbk2g0bPspoYe1tvrKvNxnj97RhEsuJ97gZr1OtrHB6MoVhXdXq2rIuX+gYt2KJeRggHPurGJ5FAqgabjnzhHv7zHe3SVpt5Wb4RQSAZV7OYVJoki9l2FIOh6roe7yMmSZwsR3d9WJY9LRy+mgcxrDNk30OQ5tTIysRC43EzEhBKJQUIZd4/GTkIjp801FOlP1pa5PsPwA4uQJZHJcsj85IQhdJ5tsBpqtrIZFPg/NJvg+KcqOQBg6aaA2AWt9XcEkOzvKgyWfx1pbI5oMig3PIxmN0IsF0lYbwhCtUkEUCqSHRziXLqK7HsLQCe/dRa9Wcd96E80wZ0UYAEOfcf+d06efD43odul/+9uKXlqpqMH35CT1RcTSv3CF/FWcD0t2id9f/v0ZayXJEjKZcap4ipJT4kH3Af2wz+nKaUbxiP3RPp2gQ2Pc4Fsb33qKqw6go5R5g2jA0fiIbtClYlfYKGzQCToMogF+5mMIhUlXrAoXahcoO2Xe33ufIFFZn3EW0wpapChHQ4nE1mx0odOPFculF/a417lHwSioFCKNmegn4Yn3hZg4EE9FUTo6aZaSaAlaphFnMQmJ2rRQrBhDV14f43hMQoJEzjB1Tar7jeMxQhNEeYe7J8E71Hita9KNm+RrS2iaRnDnLpw6hVhaIn70SOVQVmtkgz5pFKvUHNNUOHmaqqI8HJL2+0oxuburcFGhoWkC/8pV3EuXXkrR0kulJ7dXq1T/8i8ZffABSauJXqlgVJXCzwzDGYsFeOmR+blB62gEpqVmkHfvkI1GxK2W8l0vlVVxCnzCvT2VLbm0TFYs4r3+mnovpEToKhk+6faw1tdIRyM1+ItisiAguHVLuf5NbWyntL00JZ38O97dVWZZo5EKhUhT8Fz0QkExSabd89Rv5XhnDjNcPGu1nsAwEx2A5rpPuvK5OQV5TDts150VdWEY6NWqSvKZPtdE8Tlbk9fMpqZc+Zzqokcj0rt3Z/xzvVJR4qM0VbL/STqTjCLszU2SbhejVFLvXy6n/j5qNbTJe8cE/zZqytOdiVOjcXKJdDgg9+57s1NVOhgQ3L9P/3vfRcsk1uYm9vnzM6/54yvtdhn+5H38m7cmfkBd9EYD9/XXFfXyC4ilf6EK+a/ifDhN8/nGyjf4ye5PuNW5pWT4EmVEJQyCJOBu5y6O7lB1qrSD9lPPN+Wqm7rJ+3vvsz/cJ4gDqk4VW7c5UTrBf/f4v0OTGlqq1J1BGlA0i3SDLo/7j9E1nYpbUf7hUZ9UHVpnrJJQhkRhNCvMQhM0xg1G5gjbsLEyizALVadomMhEqoKuMfudp2yWNE0xMGavoaNjG/bMPjdMQmJeICJBCYmmP/OERyITjlYKdJtDDs9tQD7HqXST8bVrWOvriq42GCiGhWkSPn6ssiwNUyXjjMfo9boyU+p2SUcjNMMg2d+fdb7JUQOhGwjHpv/tb2MsLMxk+U8lqL+AumWtrSr3uv39mUTemOCmw5+8D0iM+vwLj8zPHr0xDNKjQzTLxjAtRL5Adu8+2US4FD14gH/9ujIQEwJNQjYek12+jLW2OomA88myFKNaIW6k6K6HvbGhQjLu3kXLeWhpirQsBUdMO+ppTubESjabwhxT/DmKlQf3cVwa1P+fUhl1XRXm6XNOh5aT+8jJJjplFok0Vfzw4+KhyWOkZSnxUhCoa83nn3Tjx71eQBV4oQGaUoVOb5tg5lJKFePmuhhxrGyD223MahW9qIK0026PpN1GA8XYCQK0chk9y9ALRdUABIH6+cYGWRihV6ukw8FTXuX+1atE29uE29sYxaL6GxwMlBfQMyrg8fXrRLu76DkPJuHkcaOBfv8+9rlzfyMTgD5rfaEK+a/rfCiRXKxe5GB8wCAekDNzlOwSh6PDmalVmIZUnSqu6T71fINoQJzGvFl/k9fqr/HRwUeq2I4atPwWq94q++N9/MzH1E3qdp2MjI+PPmY+N8/luct0gy5Sk6prJkVO/geqoAOkpARpgK2rSLhBOCBv5RnGQ+IsVoVeU524iTkT8/TDvvIdJyOZ/C8v8piGuk+URSSZ6r6FJhBSzF7zZStOY0zdZJwThNUCTW1EdSiJ5izkaESSJGSDwRPmgGUhDQO9XCK6cVMVIM8jzTJ038dYXCQ6OMAsFkkmKe/CMLDqcyS9LtnOELF/gH3uHMIwiHf3yH/j9z87/WXCI9drc5AmhPfuko1G6rWqVRWcwfP0s2cFGvbaGuN2R0m3J258mm2jV6vE7Tajn/1MScdzORV6fHSEITPa//SfYK6skHv7bdzz50m6XUbv/5S010U4LtHuDvHujgpYdlw03UCG4ZPg4yl2PcnCfGqgaJpQLCr714l5l3PpEkm7TdzpkOzvP13w83n1/6fQyRR+Of7vycqOs16mToumsqmSUaSGnZNMUGnoSNdFN03SKSwET9SpxeITu9wJxVKzLGWX6/skE6dDa2UFI5/HWl3F3Nxk9P3vq9eewE4yDDHn59GyDISmkqVME3NtFTkcKfuHWg1zaQlNCJzTp2enqmR/n7TZJO31ZuIsGQTKGKxWw3njjae67PDePUSxiFHIE249Rtg2wvMIHj7EXFv7G5kA9FnrC1XIf13nw4JVIMoizlSUWnMYDbneuk6cqYIVpiFhErJWWXvOd/xwdMjHjY8pWkoib+gGQRyAgOut6zi6QypTyk6Zsl3GEAbdsEvZKVO0i+wMd2iOmsRpjCY09EyfQR4a2lNFtRf1MDGfyO6DmEQq+mKqKaMsQzfImTmG8ZBe0FNWuGiq+xZqE0hJKRpFNDQ6YQeBIMoiMvnEh+Vla8p6mQZaZPV5HscBRWuJrVs/px75ZPv7M1aEXqmo4hQEhLfvzFgTWpqQ9XoY+Txo4F04j/P66wT37yOHQ3TXIx2NSFptsn4fvV5Xg7AoItrdZXz9OoVvfvMz/ybSfh/NMAjv3lNZl/kCBFtEW49xL16cWZ4+Sz97LtNzMCAbjVUIhOfhvfMO8d4e4xvXFUQwiambDlXjdgfnzBmspWVGP/s5wfXrKjbOddEMU6UK7e4StdvottocZBCo33Fujmw4VF2slE/CI6Y+LNPiqmlohYI6wXgueq2KZipPFMN1lX9Nr6f0AyvLxHv7yhVwahs7VWVO4ZhjFEDhOApymHb0UkKUKHMvIdBXV0k7HXTPBTHB9odDdSKZFGthGOjz80R7e8rPPYqQgD7dEEcjtEKetD8gG43QNE1tRjs7M9sCJR4zlWNkkpBJiZb9/9v701+50jy/D/w8Zz8n9nvj7ivJe5NJMjOZWUtmZS2WqqvKkq2WyhYEQ7ZnYEgvBAGjGc9ggPHI+gcM2BiMAS+AINtvLNiD0djTrVa7u1XqUnd1VnVX1pJMJpmVXO/l3bfYI06c9fGLJ+LwksmdzGSSGd8CUXl5LyOeE3Hj9zzn9/suAuvUKZJWi7TRRFoW1tysSqVamMdeXkIvlZQPT6eNf+UT/MuXEaaJUakghsPhOCbY3LznKVsAwvWwlxaJDg9JG22Eob+Qg054wQr5g5wPH9Q7v9toS9cUr9vWbGr9GmPOGAuVBfJWnoPeATW/xh+u/SF73T2qbpW8kWens6N+EQ2Hvd4eRatIzsjhJz5hHJJzcyDVGh3dQZMaW+0t/MRXykkpiFPFIjGFSZRGWQtkiGF7Q5eq2IYyxBa24tsOGARjzhiaplE2y2x2NtVgU6hC7pkeruHSClrZoNMQRjYjkEhszVZWoSTZSf44TEwi1G2wq7scVk3e3sxz4lKdpNmgawncVisrCEmzedtRb1hAogi9WFWy/DBEB3LvvEPxBz+g++d/Tn9tjeRQKUCjYWjvIEtS8zxksUhw7dodaen3o4bpxSL+xx+jDc2WUCdwoeuEOzs4qw/3rgYwZ2aQYXSHIZMwDLrvvaeSaQa+62kYkvR6pO026dQkYZoqpkUq6bz/C+h2MRcXler0V78ibbUwpqdxVk4R7R+odCDXVTYKofIf0QoFpK4rut+wFz2IVpNRpAp+EKKZFilC+Xe3WkjkYN2hKpZRdJuqOEwHGg5Bh/31gStiOjxRpylUKrdbM1IqN8FCHqFrJK02wlCWu+Ry0G4jASlT9OKkmocMhrZ6qUTa6ZDGsQrX0HVEo4lRLGKdOYNZLBJtbhIdHGQ9fJmmyF6PeKBM1cslct/+DkQRSbOpGD3tNla1Su7b30YYJsHaOt75N5Qb4o//NTKKEYaBPui3J90OmmVn1gJ3M1aclRXlRS8EOK7KSrUd3LNnXsgiDi9YIb+f8+FUceqBvfN7GW29O/sucFvB6egO6811/mLnLyjbZXY6O3SjLqZmslhcpB/3sXSLht9gpbzCrdYtXNMlJqZoF3F1l3FvnCRVg53hpuJYqo83HC4CDP/PQEnrjw8x7/46ljFpkuLqLoZmECex4oTrihMuU3V6lkg6YYcoUZmgmtCwDVvRMNMQW7exdEuZaw1q971O5oZukDeUU2PVq4LpUQmmER9exE41jHqLKGdjSl2d/NptRLms1H/H6G5xr4ezvIyMY8xTpyj+4Afo5TLGzAxie1uxW+IYdAOjWFJhC4eHaIuLCCDx/UeihtlLS3Teew/Gq2hStQb0fB4pJXGt9tDA5+OPczdrRg7aQgCy1yMJAmUVICUi56medr2ONjdH7PuEV66gl8uIrS2cc+fUHUm1qjY7TcdaWCDa2iI+OkL3ckg7UZufppH2+2hTU6St1u2otQF/2yiXiTsdWr/7u4jBtWu2jYwizNlZwuvXVXEcKj+HXuTDgepwyDlMF4rj20XetpV03vezcGTn1Cn08XHCrS2wbISUBDdvQqwCmIXnoVeryiGy2VSvl+8jLAthGOp9DUNVpG0bEUdEazcRJ08SD5hMSadz28QrVndv5uwsSHU4sJeWsJaWCNfX0VqtAavk9kYcrCsignvuHM7p0zTjWKUuOY6idIZq4G4uLX7qd8aan8f/8EP8K5+AYWBOTmHNzeIec1p80fBCFfL7OR8+Su/8XkZbzaCJLnR+c/Qb/Mhnu7vNhDtBM2iy091RLoWGzVpzDYAkTWiGTRUckfZJkgRLWDi2OqU7hoNruNT9Ot24i6mbkJKZZ5XMErGM6cZdVcQTmXmj3K/dMTw5R0mkhppJxKQ3SUpK0S5S79eRQmYc8ziOM4FSlETkrTyGbtAKWoSJin67ZwHHwNIsNBQ9MW8qH5nxdJzN9ga5cZep/Qgt5xFbGkaokTq2uvXtdm+3BY5J0ZNWC3NhAfeVV7IP0rDwGvPzg2IUEt7aQJ+eJvZ9RL1OuLEBcURYLuMsLyOEuK/MWi+XsU+dwv/wImm3i1GpYJ89izAMkqPDRzYpupexkV4qkn/763R+/j56qUSyvZ3NBYY9cZkmJM2GupWXkiQISNbWsgKNYSgTrYEtrjE1hbm0iL2wSPcXv1AFeMANl1GINTuruOOWhWZZKjPVshB9nxTQ+n3SMEDLqTvAaGsTqWnoxQLS72fDZwYRfRnNEG7/t23f4aSY+j6YBkntCK1cIa7X0PJ5pZx1XaXOXVoirtWUlqBeR7aaCNfFfmVV+akUCoSfXGHAyclET1qhgBAaSa1OxE3CoyM0IVQOrGEg01T9TBwjdB1jckIJhQabetJuD+5gRMYoEp6H4XmIXA69XEETgvy3v037j/9YBZwEAc5rr+GePk3xB9//FO0wWFvHefVV9HpdJRAJgTtIDXpR8UIVcrh3QX5Q7/x+LZfjDJiV8grvbb3HVmcLP/RJRUrJLpGQKMVn7DNmjyGEYMwd42r9quKF6xZj7hhRGnGqdIqyXWajs4Gf+BSsAmmaEssY13BxhIOhG5iYzORnKJgFbrZu0g7bmKmpqIPHTuJDSCQJSeYzPvRXGbZqdKETEWVDVA3lDWNpFjkzR8WuKEEUSgU6pD1qKA66qamhqB/7aiCr6zjCoeyU1YbW22EjLVB2TCq1GtKy0fUcMo1u+4b4PtiWMsqCzNo07fdVSMLe/h2mRlo+T3jlCpgmeqGgmB5bW0pD2mxiTk8hLBshNHoXLij6n5TZB5hBbmfSaNC7dIng0iWVKbq0hOZ5hGtrWHNzFL///cf6cN7dN2//5CeYS8sUHAf/8mXY3MRaXUV2O5lxlBSaGn6OjaE7tmqd5PNIIYj395Wh2OIi+ti4Kk5jY8S1GuH2NrLXw5qeJhnwuNNGA5HPYy0uqsHqgAGShiEyjNBzOYSuo7keSbuD7PeJd3cxpqcwy2XitI6wLHUHMhx6Ds20hvFsx/jmWWtF0xTHXYZomkbS7RLcvKnaXN2u8ihPhJofFArYJ09mr1fcaCL6AebcPGJ5mTRJCK9fRxaLaGmKPuDCK4vcPXTHIe73sZaXSI5qJPU6aRiiT0wozvsgrCINQ7R+X9EO01SpO4eMonabsNXGXr098NTzeezlZWXsBdgnltFy3qfe4+NisKHLZur7xI3GY3v1fJHwTAq5EOKvAv8loAP/REr5nz2Lx31U3K933ot6/M613yGRCRW7QpzGbHe2KVpFrjeuY+kWVa/KTmeHKI2oOlX2untIIRl3xumEHY6CI6pOFV1TBVSLNfb9fVzDJaepoWMQB+TNPEIIClaBslmmHbdpRk3CfoglLHpxDyMxVAwbcKtzC0MYuIZLHMWf6pffjWHxTUk56B1kJlxyaM6PyNgwaZpiGIrTfuAfEMuYvJUnSiOiWNnaDh8rlbdFTEmSIDVJiGrFlOwSu51dLjg+juFSsLpU4ogpiiqabBjAG8eIQlF96IYJ6aWSoiN6HuHONnv/zX+DMTaGkBJrYQGk6luHW1sYU9OIfAHZ6yEsC+fMGdJWm6TdIj44ROt0sU6dyj7AycBCtXfhQ6LtbfS5eXTfJ9zZwaiOK5+SUvHpT1iaRv+jj5BJgj2/gDk2TtztEly9gvRV64V+X4U3j41BkqDpKqs0qtWQ3Q6JaZI/8Q0YMFbiw0OErtG/dg1jYgIRx0hdV38GBlPa+Diy3UYrqJN83GhAraY2iVyO1PfVXZBtIxyHuNNBCE1x0NtttEpFuQyaZubLIgYOh0PJv/BcZKebuTJqlQpibAzd81QnJk3RHJtgdxeZJIrBIgRpt6sUvaapiqGmqTsFw0B6HtbUFMng1K0liWLsDFhMmmFgrqygHx6iux76jE2YqsAMI6dSmcyFRcJNdUcm+z65d94mvHEDzctljCKkxFpaUrmoA454cP0a0e4O8cGhUhYnCZrrfuoO7mX1YXnqQi6E0IH/GvgBsAm8L4T4XSnl5ad97EfFvXrnh71D1lvr6JpOEAfsdfcyUU7JKqn0+vw0v9z5JdOFaQp2gSiNaEfKp6Xer+PqLr2oB47y/ShZJUzHpBk1afabdKKO6ss7JXphj6v1qyQywdVdbMMmZ+QI9ZBmv0koQ/JmnoJdoBf28EOfvJ0np+Xox/3sVD2EgZGpOHV0JTZCIFOJFJIgDkik+vlhARcITGFmQh9PeIp5IlNcy80GoKBaNpaw0DWdTtBB19VGFcURUki2u9v4ka+oj26Oj0+Z6LHLO5ciOjmLcZFHdpRLnz4zo3rK/f6ADqBOy8PBkzAtnFdPk3Z7xAcHxHv7GGMVwt1dGKjAi9/9LsH160qB2G5jzszgf/IJwjRVes+xD/CwP6p5XiYUGfKkU9/HOfeaOkU+AYbeG9HODsHNm6rHPzlFEkVEOztEm5uInIe5tKzUi7UawvOIdnfRPA/39CsEN9cwhUBMTaF5Hr2LH2FOT2HMzuCeO0v/N79BGIZKGDo6UgNN01RiGF3HrI4TRxHm5ATh/gH0ephjY0T1Okmvp1SeA4qgMTZGEoZopRK655LoOnoup07SQ4HQcdogKDYMQg2ZQbXBGg2MfJ6o10MkCXq1qix9BwNSKeVArS+ydodMEmVjPFbBefU0wc2bRFtbGOUScc9XdMWBXa0c+MoblQr67CxJo6E4466HoRvoE5Po4+MkR0dY0zO4X3krYy01/+AP7mAUGaurmXDHXl6i9Sd/QvuP/gipG9gnTqAVS4Q310jaHZzlpewODj6/VKDPG8/iRP42cE1KeQNACPE/Az8EPrdCfq/eedEqksiElt/CNpRM/krtChJJ0SpiGRZbnS0VuBC0yFt5Lh5cxBAGtaCGH/vkrBwls8RB9wDDUENDQ1MskH6qhD9lu4wpTA7iA3JGDkd3OAgOaPSUIVcv6hHKEFMzKTtlhBC0ohaGbhDGIUIIipZyHhz2rnX07IQNqqgbGGpgqinmyfCamsFtCuKQ6aKjkyQJISE5M0cv7tGPlYLTFGbWkxcI0iQlIsISFqZpqmuL+/SDfrYxRGnEptbg4DWbj2YEX725z19e65LLezilEiY68e6uUvu1WqpJqutIIDo8QrNt4oMDSKUKpBiIVcLtHdJ+n7iuONzx0RHSNDGKBczpGcUQqdXUaW92FvvYBxhAL1cQQP/GDfRcTp1IWy1FBTz7+KETQ8Vf0mzSX19Hk1L1Z2M1GBRInFdWSZNEUSYLBYxXX1X9XhSTI9jeznzGrYUF0lYTaegk7Q7mrEBzXXVKdV0S31cblCbQNDVfsF95Bc0wiHd3Sfw+RrVK6rrQ66mczVpNrcWybrecbEtx4M2Bo6Hj4H7jG/i/+pVKts/nkb0uiRBK8u44ylNl6GY4kODHw+Qey1J3VjVf9byTQcrOwNpWhiGpaQ6GuBpRq0X35++jjY1hTlQRS4t0/vQn6n0bPr5tY83PEW9vY7/zNtbJk/gXLqCbJubyEubcnKJ4ypS416X/4YeqXbK0dE9GUer7CE1T0YCmhTk3h4ziAeVRxc2l9TpJdfyO9/jzSgX6vPEsCvkcsHHs603gnbt/SAjx94C/B7C4uPgMnvZOlOwSS8WlrB9+o3GDbqC4q5Zusdffu12Ekz6zhVk2Djc47Bxyo36DhIRmv4lpmIrFYjoIKegmXQSCol7E1m1utm7SC3tIKfGFT7PdhBRythIZJTJR/fEkVXmeQuAZynfloHuApmnYuvLgsE2bSEbkzByGbqhiqpv0QuWFYmKSDP6HVKrPnJmDVPG9F0oLXDq6pOx4j7/Wg2zNnJmj6lRZa68hhQQJAUHGO5fITLZvaAY5K5d5q/vJwGhLBhiJ2kSiJKKTh0IBCuWYV7sFSv0Gxb6uhoCdzm22hGmqDMw4Vt7djabq846NkXa7+JubqsCYJtHeHp1f/Qr33DnSgwOCeg2ZpGi2hahWVStmYLp0/PQk+32VtK5+wVSLx3UGr8HjI1P8lUpZGlHS6aBPVPHefIuuVM+WX11R9raOgzRN0lpNqTgvfaRYHIUiMgzp/fznSCGwV1YQhk7SbNH65ArR5gYIsBfmCQYOiHHYRTgJSa1GnKakfh+9JNE9D3thnv6VK+jdHGkYqhbVYDNMkwRN11QI9okTlP7W3yLc20OmCUGxoDbOJEEUipiGQWJZqh/fbt92IxxK9aNIBSBXlS/OULglBt7yWqGgbBWKRdA1JWwaiI+GrSLr1EmE3yf3ztskjQZxq6XUu6Ui+tgY2rxQYrJcDi2fxz53DufECaVH8Hv019bB72OsrBLX6vR+/QFGIU/caiv+eHUiK74YenZXJvJ5aLaU+2ZdWTkk/b7a7I7h80oF+rzxLAr5vT4z8lN/IeU/Bv4xwNe+9rVPff9pcbd839ItjvpH5K08VmzRj/uZgZRAcNg7pGJV2Ig38FOfOI6ZcCc47B9iGzarlVW6YZc9f4+SVWK/u89aa40oiXBMhyhSLJI4jfEMj5XiCpGMWG+uM5ufxcRkO9lWroVJQiADpc6UEMQBCHCEQ8kose/vow3EIUGs5PhIRQ90DCdTdQqpboktyyKn59jp7CBTmZ2uTZQ97ZB3HiQBQhNMepPq5K5LFeGFhq6pU78QymOlbJWZKkyx0drgIDrI7gaGplwAkYzI+/DqusBMDZp+Ay+wCQ58zDhVhcB1Gaa1Zx9+XVd5no0GpKny2BgbwyiXiG7cRM/lMHI5og2VvBMd7BMfHOCcPEHS6apoOSkJ19YwZ2ez01PvwodKEXjiBMnuLmlbDcCskyfVqf8xMVT8abatApOTBHI5wo1NvPNvIkwTIUHLF3BeWSXc2SGpHWGUSpgzM1iLC3R+/nOitXW0UkmxMppN4p0dzKkp4r09xQlPJcJ2kHGCMAzMclnNJ/p9gps3McfHEbalhpyD3FNrbh5zZpacJujfukWypWxehWUp6mKhgDExQeF7v6WuZX1dzRRurqnNxTTVPMWykO0W0rZVIU8S1W+Hgauh4qCnbUUP1BcW0Ab8cmtxQXHhWy2Eo0K0tUHOqRaGJEdHiOkpcD2spWVYVq+VEOr3Me10sE6eJLh6BXt5OXM7jGt1ZBAQHhwon3LbRisWiTY2SIOAoFEHw6D905/hnj6NvbqS+cYLx1HtllwOaVoknY5q/VQq2Wn+bnxeqUCfJ55FId8EFo59PQ9sP4PHfSzcTUFcLi1zrXkNmUh0TbE1LNNS+ZlpiClMDqND8nae14uvK6WnjLB0C0uzCJKAVtii5tfQpIZneviJn2VllnIl2mEbXdPphsp4yzVcKk6FlJRO3KGf9ElkkvmOD7nkOjquoXJDwyQkSAIKRgHDNGj2m8RpjIlJTIypm0SJEgklMlGGV0lMX+sTJMovetgj19BAUzRJXehK/CR02lGbVKSU3XKWchSlERWnwkpphVvtW8q0K6ngGi62bkOC2oQGbJjh8yztJNh9nb6TcDCmM3srIY1D0G2E56lsycEgzvA8NSAbSN4T30drNEjqNZXE43pYExOga6QC6Hbxzr+Bf/UaIHHPv0naaRPu7CAHJk7HOcHe+TeID/aJm02skyewZmYUq2EgLHoSDE8lxsSESuVBzUdS31de6Qh1W5/LY80voNkOeqmI/+GHGJNTSqEYxej5PP2tTaRhKFFLrYa1sKBeh1YLa25O0fxcF31qCtNx6F+6pFpMnbZKKGq10MplwvU1NdjUNfTxcdxXXsHXddLrN9BLJeyJCfRKhbTdxr90ify3vpUVqrhWJ97aItjcVGlEvR79Tz5B9JRQTTMM1Ssf0AWF66LrhmpN+D7W+JhqB/k+yd4e1uISGhAPbAOi9XWSRkPF0rkucaeDUSzR/+QT5VsfK/MsGYbK5tY08d58E+/8+cxG1srlVP9/dw+Ry+F97WvIQWBJUq9DEuOce4201CbpdDJh2LDfbczMEB0eKO+eQgGjXEYrFjGnpzMDtZcdz6KQvw+sCiFOAFvA3wb+g2fwuI+FuymIeSvPN6a/wZ9t/Rme6fGVya/QCBpIJDW/Ri/p4Uc+84V5ql6V5XiZ3c4uBatAza/RCBrU+jVsQykrS3aJVlv5XQdJwHRuGsdwOOodIbTbhlmdoIMUkkbQwLM8lfwzCECWUma88JJTUuEPdhHHcKj1a+joOIajLGtlqvI7U4khBn7hwlXeKUmcBV0MJfwCoYpuKjFQPy+EYKerjL4kkm6q4t4qTgVN05jypig6RRZY4JPGJyotSCofdTEYiA3zP4eYP5TslBLmj3rM1nT0tk5qGCA0zNlZVcTbbTUgKxTUbe+AQ62bJlo+jzHgmYtcDlEoYFaranhn28rn3DCQwySxfAFnVRVnYamw6t6FC5nac2hzO0xKT33/iXuexxV/wnUxp6aUGdjkJMIyyX/zm+r9H9yWq5AHibBs9Kkp0m6PYGMTe2lRmWo1WyRHRxjVKuHODsHaGrLTwZid0/1xgwAAP/lJREFUUZveQPhjnTpFePVqRv3TNA3Ny6mBYBAgdUPJ3nUdrVQm2t1F9BVX2l5QZ6h00JfvvP8+0c6Oyv4ccM2FpXrIDAa23uuv0b9yNRsa47qqvZKmKkx74HOiOw56oYhRraJPTxN8fBn7xAlkGNJ/7z3EoPjLXk9ll8YxyVFNrdV20GyH/o0bWPPzyDRFWBbR7u4d3uHDNgeGgXjrTfTxKubEBL29PXXy1zS0vGp1aYUCydFRxkQZ9rs1z8N57XWC33xMcHMNY24W5+wZvBecG/44eOpCLqWMhRD/APhDFP3wv5dSXnrqld2Fh9nX3ouCWHJK/GDpB+StPO2wzTLLANxo3sDSLJaLy+z19oiSiDFnLDvhdkNV8BzdwTWV0KNiVTjSj+jFPQpWgZPlk1ypXcHUb/fUhxtAK2rhGi6WbqlgCaEcCaVUg8qcmSNKVYvG0i1mCjPKvTBVop5Wv6V606gBa87IUbAKlKwSQRLQC3oEMlDDUynoJ31CGWancku3kELSDJs4upPRCxFg6za9sEfZKdMO21xvXMczPM6Uz7DR2aDeq2cccylvG30dhxlLSl3Q4pQYsDUb4kT1PnVdFYaBdSmmqWxMSyWs2RnlPX1rg3BtDaTEPv2KotdFEfbp03T/4i+QYaiGfL5/x0DKnlz6lNozWFvHXl4ibjSynqc9qZgtycWLj5X64p47R9JsKvl7u6Ui7AY91t4HH5B0OnjnzuENWBC9CxfQLHUStWdnVd/cdYjrDcVAEepkL2xbqTdrtduxbGGohqRRhIxC7FdfJYlj0hs3EPm8yjyVkvDWLXWS1zSVylQukwYB3V//CqdaVUk6vq82n/Fxops3MMer6NMzRLdu4f/ql2iVCmi6yj9NUrw3Xsc5a5J0O8T1xh05mkIoCwAhBMbsLOQ8ws0NksuX0EsDBW6/j+55xJ0OSRAoVeiABqhXx9HyBYzpKWU/G0fER4eqXVUuYZ959Q7v8ONtjuEJPfV9RR2s1RCOg+Z5RLduqX57Lke0swPnz9+5EfR9vK9+lcrf/JtfmuJ9HM+ERy6l/H3g95/FY90Lj2Jfez/5/r0sbs9Vz/HhwYekMqUTdtjp7mBoBqcrpznyj5jOTRNEAZrQMHWTlFRlgNpFNKHyNOM0JkxCmkETW7NJ0kQ5EWoaeTOPozu0QuVMKIVESIGlWZSdMolMiNMYW9gU7AJhFDKXm+Pj2seqfy4Vu0RK1f/uxT3cyGUv3sPWbDXcCmJCoQIn/MS/PbwUBq7pMu6Mc7Nxkz59lcUIuKaLZVrUe3X1+sS+2kBkwqw3q9pPhkU36KrUIF1DExrtuA2ofvlO1eC7H8SEluBQS3E0E6uTYDmOGsRVKhgompe1sKCKQKeLNT6OXq6Q1BtKBn76NDg29AMEEq06ThoGSk2oG8SHB7cHaoC9skK4uXnPUN240ciK69OkvujlMvlvfvMO+iGmoVoDQP/yx6TNFu65s8rp8Kc/RZ+awp6dzfrmaIL+xY9UIMWkoh8GH3+MZhqkoKT9CJJWCy2fxzp9GmEaGOUKBEqxqedzKlmp10OzLLRiEXfQbkg6HeWEePYsyfYOmm0jBnzz/sWLaOUSnT/5E6LdXXW69zxEs4W9uEh8cIg5OUm4uYVz9gzhxgaJr/rsmuchdF35tcQRmpfDPHmC9PAImSSYMzMYs7P4Fy9iLSzgfvWr9H7xC9JaTSU9CZD9gVeMbSGkxFl9BXtlld6vfol79twdrBO4t0p3WJi1nKck/q0m3c1NdEf1zTXPI9rZJVxfV5v34M7sbuvjLxteCGXn40jw75bv313Ehz+7XFzm/d336cW97OSdM3OcKp8C4Fd7v6IRNvD7PhWnwkJhgbn8HNudbV4de1Xxs0mZzE2SyISt9hYIlBd50FAn5FQiNWU+lZDQR/m1LBQWiGWsWiNxrNomurq+ocHVUOmpSU0xaoImnuUhNEEvUaHOURRlA1wpJbZhq757GrLV2VLmV/GgTSIEYRzSC3sYmir2YRISRzEaGludLapelZyeoytVGLSuKyWpiWppCE2wv2ghLnQItBhdVwZgvpMSGimVdpsoDNGKBayTJ9ALBcT+Ppodo+dy6J5HtL1NGsdYi4t4b72Js/oKvY8ukvb8LEhXWBbx3h69X39A4bd+K/MZ773/Pu5bbwLHjK3uEnM8bYL6cXvcuNFA0/TbZlxCEO7uEu3t4b72Gsakaqf0r1zFeWVVFfPTr2KfOEH/2jXSJFYy+7EKpjdPdHRIcnik1Jmep9oFlkW4qzzapZTYKysqXHp7W/WUJyYQUhLv7GCvrmIA4doa2iAgQvc85TE+MN2Kr99Qp3ldGVml9bpyF5ycRCYJ4eYGerGkTro5D3t2VlkbTE+pEIyB7UDhe98jXFsnbTSUCZbfU66Cmk5Uq2HPz5H/9reINjeJj2pKmDU2huwHRNdvEHue4nSXytn7dBz3E+EMX/9kaYm03aH9k5+oOzvDREYxyBRzokrrx/96IKv/9Gb9suRwPg5eiEL+qPa195Lvw6fbMhW7wlprjcXSIrP5WdZb6zSCBtO5adphW9nQ2mU2Whv4sU/Db7DZ3sQxHP7NpX+TVtjil3u/pB/3qdgVdZLVLUxh0gpaWLqlvE3iEN3QsYRqdUxYEziGg2M4LBYWlSo0CfAMj/X2OpZuqeKeKjtRS7cIYxU6kchECYA0KGpFOmmHelDPckQFgn7cxzVdTGkSpoqSmJBkp/QkSTK3xFbQQhe6stZFJ0gCOlGHbthVDoyDvnuURjiGQ5yqjSfN57i5FFKqg+YU6HoeWhAytt2mZ5lUVlfQHJdo/RbmW2/hfvWrpHt7BLduKWEIykJVc12sYchyFBHv7WGfOpUFKqdhoE6I9TpiYkIN4SoVVZBfez17b+8WczxIufc4H/Ck1VLF1ZAEV9eJdvcU6yMIsF89jea6mLOz+Bc/JK7VCLa2sE8oiXj+m98c8K9Tolu3SOoN0HR010N6PvapU6Sp+p6VJBS/+12EYSL9PtHhATIMMefmMCoV5eSnK354/9o1JbqCLDIvvHoVYTuIcol0YB2ge57ipw8DJoBwexv6fZVGpBtqo2k0VJGvVhGOi2ZainpZLKDl8ko4Mz6OaDaR/T5JEKKPVZCtFs7KX0LLF4inpqj9f/+ZGjwO3i+Zphj5PPXf/ec4y0tKXHR4iDkxcd/37W4E6+tYy8u49bpqrQXBoF+ezxKVjm/WSadD60c/Qs/nVdDI0tLtA8ALmsP5OHghCvmD7Gvvxv2K9vG2zI83fsxicZEkTbjWuJYlBF08uIgf+ywUF+gnfabz06y11hAIZnIzTOYm+en2T1koLDCTmyFv5TOFJ0A36pKQ4OkDxoQAJHiWhyY0Kk4FUzfxTI/LtcuslFdIZUreypO38pwqn2Kns8Nme5OICM/wFMdbGOiajqZpWEL1u4MkwDM9ZCoJ0iCzqY3iiEQkyoVxQB1M05QoiDCEkTFc4iRGGIIoUa0VTSizLDjmSS4TxWCBjLbZjbv88gR8y9eICgaWq3HyBqSORW22yMyi6k/HjQad9/4MY2YWYRrYS4u37QQ0Qe7rX7vtFW6aKo5syGsGJbipVFTO5ADm0hL+B7/+VO/8+GDzfso9NO2xWi56sQhRhP+JMmrSHAcZx4QHB0qB2G6rsB4JwrTUfECqNz1pNkmbTUgSzKUl4qbaQMypKXLvvK08169cxZyfx3v9tex1cN98E/Gbj4mPjlQv3TSxKvM4p04RtVr0L1zAOXMGZ3mZ4Pp1pSCdniEJA0WFbKvA5TQI1H8PbXGlVEItITJapkwSsNTmIQYeLghB2uvhnDxJvLODsBVzRkiJcBzMiQlkmsDAe0Yrl+lfuqzeO9tG03X0uTmVQbq3h14qok1OYs3N4V++jFxaJAlDZVSl6RR/67t3vObHN9rgxg3s1Vcwq1XSOFYGa1KSdtok9bpqRQ3/XbtNeOsWMlZpSkLXiTY20Bznhc7hfBy8EIX8fv3v1YnVO37uXr30H2/8mKXi0h1tmUQmNPoNGkKpL23DRiLpxT1F1wvbGUd83B6nGTZpR23oQitoEeUiik4RQzOIEhX+kDNzXD5UYtYePUUB1HRKVok4janYFUzNxDXcbFhbdasEScC1+jVWy6sc+Af04z473R1M3SSRCZZhoQudcXecI/9IeYzrBqahVJhSyCzODbjdmiHBxLwjiSiSkXodUsUJT+NUuSamKZ7lESaq5z7kl4MSCvWTPnkzTyoUX32vEvLz123Ob6XE/Yi4WWd73CN2JP2aClRI01R5VM8K6HTp1+pomsBcWsY5dRK9VM4sZo1ikaRaVT4hhcIgmFjPOMJDaKaJe/48wjLvK+a4n3JPGLpiijxiy8VeWqLz058qat3gZ2UcqyGmJlRknUBJzisVNMPAfuUVUt+n+/77WEvLGGNjhDs7eGfPons5hOuilcqKlQPkvvFuVsSTdpukVlMn1VwO4kQVV00jbrfRLQsxsK4Nd3ZIfJ+03yeqHRFevYYxPq4EVlGk/gSDyLVBgn06cKfUczmsyUmEZZGEIXIQ/mHOz6vH3tpC0wSyUEDTdcJbtxCeh7O6qv7NwQH6zDTdn/0Mc2kJmSZYJ08Qb24pczDXVesTAnt1RUW0TUxiL3XpXvgQa3oao1xBHxsjWFtX3ueDdsjxjVbYNv1Ll7CWl5E7O0rzPAjIEFGMPjaWvVfxzo5KBhqIzbRBQEm8s6Paey+Bl8rD8EIU8kftf186vMROZycrrNO5aRKZUO/Xlbf2ABW7Qj2oY+kWBVN9kMIkpGyXld9K2KZoF9lobdANu2i6RtEu0uq36IZdav0aRbvIdndbuRFKaPRVKpClWez7+8rfRHez3rTQVFrPqcopTpZOYhkWnbDDVG6KP938UzbbmwRJwGH/kCRNSIRqiZStMgiVamRqJvv+PnkrT8FS3jC1Xg1SVag9wyMWcabKjLhtkHXcHVHTFW0xlakq3pqFoRnKwzuJydt5kjShYlXoJ31MYRLKkAlnIuOZH+gNfjJpUjAL/LudAMOPqPRT6kfXyZk6Gqa6FU5TksHJ0JhfpPDd7yJ9HxkGpH0ffdCKcM+do/XHP84Clb3XX1MxXJXKnZ7iD7lFvp9yr3fxogqAOIYHfcD1chn7xAnivX0VRBzHWLOzaJUK4cYt5UNimQhLUSmNVXWoSKOI3sWLJL6Pns8rbvvqKzivvUb/yhWlTiwWMRcX0Ew1e0jabYKrV0EI5eBo2XT+5E+wV1bQqxPE+/sE165hLi+r54ti5UsjNNKmCvkQloU5M0O8taWKt99TbpRDW+EoUmENSYJ16iRpr0d84waiXCb1e6oHrut4b57HrFZVDunenrIZ6PskjToyDMBxSGt1tLFxZU/brKuwacsi3tlBO3FCnf5NE6NQVBRIIAlDrOlpcu/cFn2nvp9tpHfPNpzlZXoXPyI5PMRaWVF89Xod9/wbWPPzBGvr2Z1ZXFeCIWtmhnBnRzGCLCUOgpfDS+VheCEKOdy//z1EM2hy8fAiY86YEv0kIRcPLlL366w11/BjH1CiljAJCZMQz/CU+lEIgjhgqbjE+3vvU+vVmC/MU+vVSEXKpD1JzsjR1/s4lsNme5NXzVdxNIetzhYH/gGz+VnmC/Ps9/YZk2OkaapogUkIAlphi5JVAqFOzZuNTY76R/zZ5p9xs3WTeq+OZVp4usdMfoZ21EZIgWM5GBi0gzaxVEyZNE0VuyTuYuiqXWLrNn7sZy0WuB0ckZJm4c5JmpC381nIRCtUvfI4jdF1nX7cV3mhZp5ABgRpgG3YpHGqfr7XwhAGkYwIA3UXsLZa4OyVPgWrTBgrlafbjzDmZlUQgeOgOQ72yROYExMZJ9w7ZmYEYL+ySnDtGmm7jbWyQvn11++gFT6qlPpeyr0nMUsyZ2YUu0bXs969DAJYUsU46XYRaYq1upol3fcvXVL+2oOCOxyECuO2EAZus2sANQDu94mPjpRhVs/HnJ8nDfqIwwNF1TQMZKdDahiISoXE7yPrdWSkqJp6oaBEMoP++ND7Bk+FPouiCjLGMPB/9WuskycRmq7uDgw1DEVomHPzygSrXCb6vX+Bffo00dERIk0Jt7exlhYJrl1XysxiEdKU/tVr2KdOEVy/Tnx4gNR17KVFldU5mIPc3Q6BOzfSu2cbWr6A+9o5+leuKEHQ2TN3zDT0Uun2Zl0qYowr2qM1A/0rVxUDyPOeSlfwIuGFKeQPw3prnbJdzrIwkzThwD/IeNxX61cxNIP5wjwpKTkjl3myVN0qK+UVDvwDpnPTLBWX2O3uIjRB0SziGi6dsIMhVEHV0Njr7WXCmYKp4t0qToXN9ia2ZtOIGyQyIW/ksQyLdtjGEAa3mrc46B6Qs3Ic9Y7Y7m7TDtrK8CoO0aRG0Sky5oyx390niiNiEVPNVelFPRzDwU98xvVxylaZVtSimTRxDVc9xqDQZ66Jwsjk/pZhZYPTsl2mF/eyNdaCGjKVWLpFEAfU+3WKskjBKuAnPiWrREpKN+4ipCCn50hQ/3bvdIlV08K+0kbGCamhYy7MYU5NEu7sgqZhz8xgVNVd0d3Dx2hnh2hnF3t5Ce8rX73tpfEM8SRmSfbSEtHWNuHWFrJYVMlFrRbW3GwmDupd+BBhGMStFt333iOp17FPnlDe4pVBi2BtDWtm9s5e/rE7h/DWOkm/jz07i7Asepcuk8YRZrGEtrSIls8hiiVkSwnSkmYT2Woiowh9ehqRpMp9sVxWNMGpKdUrjmOi/X2l4NR1zMHmkwSB2jTm5wnW1tCBYGeX/DvvIDQNe+Aw6Zw9q1gvQigqpGkSDhwq03YL3bHRKxXMOEKmCe7rr6nBqRDErTbWwjwipxSiMgxJmk16H3ygJPUzMyqebbCR3mujvXvzO4778c9FLo+1oE7sWs5TB4aXwEvlYXhpCnk7bLNUXOJa4xoAh71DlVcpY+YKc7TCFv24TzNocrZ6lvXWOkWryPcWv8eFgwv8/s3fZ7G4yDuz7zCdm6YTdnB1lwP/gDAJyVt5JnOTRDJiv7ufSeunclMkacJeb4+KU2G5tKyEQWEjo/lpmkbZKVN1q7SjNi4u7bDNQe9A5XkiFG9bqJDkRr/B16e/Ti9UxazqVElICNMQx3DIpTlSUqYL02hdLXsNJFJJ/xPFQtFQtESJVPRN3VXh0XGfbtQlTEOKVpFW2FJGXoOYOsuw1AYyUKsiyexwPd1TAc9pgqEZOJZD3zCov7NC22ujHzXI9Q1Ms4wxNo6MYpK+cvEbns7iw0OijVv0L36kpOWxylwMNzZxXFfJ7DvtB1LMHhdPYpakeOXvqvCKa9eQgHv2zB1pMt75N+hduoR/4QJpv4/z2jmEYaoUnTBUA940uee6h8UouHqV1O+jmQbB+i10x4FAKHWm56E5Nvi+8l/pdgi3ttEqFeW+mM8T3trAGBtD6sq8LD48pPSD7+P/+tdE9boS4wihZg4TVaKDQ6LNTYyJKvlvfwv6AfH+nip6g2tLLl7MaJea6yI8l7BWA9/HWl4m3t4m2NjEmJxEFIsYrsfY3/7b2TVmg8tGHaFpmNUJlagURcQ3btD9xS8wFxYo/9v/FvB0roSfem/Hxqi89dZLX7yP46Up5AWrQJiGrFZW2enuUAtq5M08K5UVJFL1yCW0o7ZitJgFWmGLKI1YLC0SJiG2YbPT2QFgp7ND1auy3lqn4lboRspYSCKZzE2yWFzMmCM3GjdwNIcgDZjJz9CJOhTMAprQKFpFOlGHilNhMjdJKSlxrnqOX+7+kkbYoGSXyMkc9aCehUIESUA/7jPujrPb26XqVZFCksqUzc4mRaOIqZksF5c58o8Yd8cJ0zCzzJWoAejQ48XWbRZyC+ia8muJjZgpb4pm2GTf31etFCsPGuS0nPItN5SyM0xUMEYqVKvIEAamZmLqJhW7Qpqm+JHPFXOH5is5XtkusTz5VZx6QHBzDWHo2KdOqfZCLk90cED/8mWkgKRWp3/lCvHuLva5c0pANAhMjur1T1HM4N7DyUelFT6JWZJeLlP41rcyb+x7fV/P58l9/W0ViBApBgeDAai5sICwzAdvGPk8SbdHsL2txDnlMvHGhvIN9zzSvj/oO1tq4+v11LCvH2Asn8CcmyPY3ibZ3yf/W99FttsYc/NKCXnjpkoLKhTQLEsNPQFrcRFreoa028OcmsKYn0PP52+vU9PoXxqoOfN5whvXEWGIZpoqiHpujmh3l2hrC+8rb+GcPn3HNR5/rXsXLmAtL2M0GyqgOk3Qx8fQbOuOgefTuBK+jEZYj4OXppAPmS3D6LYgDuhGXU6WT7Lb3VW9agk5M0c36qp4s8inZJewdaWwbIdtHN3h8uFlZnIzIFRvvhf1VOp9mrBaXuWjg4/Y7e4yk5vJTKyWyktEaUSYqFNurpLj0D8kSiPVy47USXg6N02YhriGm3mSDzniqUxVbz3q80ntE96YeANLU5z0TtzB0i1OFk/ixz6dqMOv939Nxang6A6f1D8hTmPFCxc6RatIM2qSJKqNEqIK8oQ7oYacaUg3UgpOQzPoxeoac0aOMFH+6Tkrh0AQJAGzziwJCbrU8VMf11An/MP+Yca2WZz/NoXpZfb2e+Rmpym//npmWjT8gCZHh9hLi7Tfe09ZtbouIp+nf/UqpCnm7AysvvLQnuoQT6PkPP4YTyMgGfZ3rZkZ5QPT7ZJGEbLdwdzbxT5xgh5kj3v382mFArZtE+3sIDUNI5dDe+014ltqqCp7PTTHVu2JRgOjXMYeDFeTZgN9fBxrbg77G98g/61vqTUcKidBa3mZaFOZdwVHRxiOQ9rtkk5OEh0eImybcGeHwl/+SyqcY/ha3/X/qe8jPA9rZkaFVkSRshc2dOxTKw8MLh6+PvFmG+fUKcW+Gbghkia0fvQjjKmpL41457PAS1PI72a2LBQW1CBP05nyprh8dBkEnC2czXjmrqn8UAAKdkGZVCFp9JU4KIxDSnaJkijhGR69uMdMfoYwCVlrrinxThIz5o5hYLBUXkIXOhPehHJE7Owwm5ulaBfpRT2uNq6yWlllrbFGJCMczeGgd6DcDjVTtTGESrJHwF5vj69OfZU/2/4zJRDSrMzvfLmkfGI0NHa7u+hCZ7m4TCfq0I7ayuFRM3F1F13T6UU95vPz6Oh80vyEsl0mFSmtoKWMspDqBJ6G2cC04lSIkxjP9JjwJuhFPfzYRyTKZjdIAlpBiwlvgpJdIk1T3u9+zOLMIrJS4Jtzt3ubw9NS6w/+AP83vyHe3kGYJjgOxvg40daW4hfbFr2PLhKurytWRLudcYHvNZx8WiXn8TCJNI7RDINoa5v8N9999NPgoL+rIBSfvNslabUwJifRiiVkGNG78CH28lJm8jXceJJmC5BYy0sIoSkf8H4f65136P3FX6BPVJFCoKGi1rx33lEndFvZNTinXyXt9bJiai8tUf/Vr9G8HN6b5/Edm+D6DUQQkKQp5uwsmpQkzSaaZWEuLSIM8w7HSJmmuK+dI9rdJe200fN5RLGEZpoYZ84QXL5MdHCAMT6mmDh3t1SOb4qD1yftdjO6pfJzgeDWBsQx9ulXvzTinc8CL00hh08zW4bioCAOeHXsVQASmWRFvhW0lP/3gKL31ZmvstHaoBk0uVa/xnJpWQ0XI5+6X6cVttjubBMnMfOFec5PnKcdtTnoHrDd3eawd6hoikGLG80brFRW0NDo9/v0YtXv/tH6jxh3xzn0DylaRfpxn1bQopf00NGxdRtP9zA1k4pTod6vM+1NY2omm53NLOjZj30cQ4Vf5K08rbBFM2wSpAEFu6DuPMJuVmhNzcSPfUzNzEIuLN2iaBXpRt2sraOhKRGRVMEYjuEw7U0rUdHA+jZIAmXROxgkx2lMrV9DIimbZT6pfUKz3+Rc9dwdFNGk0SDc3SPe20cK1StPmk3M6WmMyUnSTpt4bx97aZn8d75DuLaO/9FHOOfOoZnmPXumT5vBeDxMQnddJdbZ2qJ36dJ92yl3Y9jfDXe2VaulUiENQ3InTyE8j2R3F+OVVwAyjjlJTHDtKmm3C4aBUalgLyzgX/gQvVLJKHfG7CzmWIVgYxPNNDBPnkSkKfbqKuHa2sBV0PyUUZheLDC03M2df5PCd75D41/8PgQB5vyc6sv3ejA2psKOj722SaNBvLdH3GxijI3hrKzAygq9ix+RSpnJ8bVyGXtxIWuPAPe8OxpuXhgqt1QKoTY+XVP870olc5yEl1+881ngpSrkd+NBlMWN1gZ/uvmnXDq6xLgzzpuTb2IIAz/2+e7Sd6n7Sv7eCTvoQmezs0kqU8adcTxbiWd2u7tM56YhB924i63bqn+smVw4uMBCYUHxxeMOY+4Yfuhz4B9gGzYVS1nJCkRmrmVrtpLap30c6dAO2lTdKgvFBYI4yPr4APV+nWbYxI988maenJmjFbYQUhBGirlStstESaTMvNAYc8fIeTnKdpm1cE0Vb9JMOWvryplxOEuQQnm560Jn3BvHDm2Wi2qYm8iEg0DF23XjLp7ucegfoqPT7XXpx31+vvNzfrD8g+w1D9bXMapVuu+/jxAaxvg4SbNJsLaG+5W30McqOKdWcF9XEnyjUKC/tkZw9YpiL2SBErdtbNG0p8pgPB4mAajb/mKR4Nq1Ry7kWX937SZS0zFyORUCPTylDvjMwnGIDw5UT/vqNWVVkC+oUIXrNxj7D/59rPl5uu+/T//CB8SNBrmvfQ1zZhb71Cn6V64ibJu428U0DBWycf52yMYdp/xWG2t5GWcgi+9fvYJu2yRxRHxwiD5eVQX78FClEC3fbvv0Lnyovt/tkXa6+J9cwV5cwJqbJT48JI1U0tNx//fjOar3NjV7g7Tv03nvpwjTxF5eJq7XlU3usfCHL4N457PAS13I74dm0GSttcbp8dOcKp/iVusW1+rXyJk5zoyfYcKboOpW2enuULAL3KjfYCY/Q9EqIoSSteftPJePLhOnMZZukbfySClZqayQt/Jsd7c58o/QhIp2MzSDnJkjb+UxNEMVV6HRilSRFUJklEGBoNVvIRCUnTKT3iS3WrdUhFyasu/vU7JLmdd5O1ICppyZwzVcWkFLcePTgJnCDH7oZ4wX13CRQpIzVMGOkoh+3EfXdKpelTFrDMMwOOodZTFwQgh2u7ucLJ3kKDii6lXZ6+yhC51u0gUJuq6TRAnNsEnJKlF1qvx0+6e8PfN2dipPWi1kEOC+9hrBx0qKro+NqaHewHPbPBYEoOULuOdeI2nU7wgiOF6w0maTFKHsYp8wg/HuiKuB8v6xoJfLeG++mWVLyquolCTI1Kmy38eYmFDtIMfJWCFSCPRKBf/SJWScYC0tY59+lf5HH6nT7qC1JHRN8ap1DfvkiawF0btw4VMF1F5WJ3Q9n1cbSK2m2CW2rU7FUmJNTyuu9/Iy3fffJ7h1i3hvD2N8HHNiUqX37OyoKLqjI4rf/z69ixeV8lLcftWOF98H3R1pjkvxu39ZhUjU66TNFvbyiez6hq/Ryy7e+SygPfxHXj4cd1Ms2AXOTZzjqzNfBQFVV3Gd81ae1coqX5n8Co7hcNg7VKrRNGa+OE8cxxm98ah/RKOvjLV+vvNzOmGHt6ffRtd0cmaOmdwM/bhPFEecq57D0iwVXOHX2Ovu0U/6aFIjTVVv2jEc5XWSJIw74xlfvWSX2OvuYeqKseKaSm6fpAlCCs5PnGfcGWfMHSNv5HE0h9ncLNP5aZVpWlqi0W+gS52SXcLQDRWcIZQ5lilMxVF3xnl3/l2qbjV7HTzTox22CZJAtYRS5eQopVQy/riPoRmkacqJ8olsw1pvrQ8K8AWCGzfwL19GL5XIvfsu7vnz6J6Hns9hTk7gvfNOpnYc4vgH+3g/XAgVZGxMTKKXiplsXwmNHr3H6qysZBuMlBIZBCStlmonPCbspSUVKOH7mNPTxM0mSbOJPj2dCVNyX/86Sa1GKtVMIg0CZL+PubRE/9q1O67PWl4GoHf5Mv4nVxTPf3GR/LvfhPi2R3zSan3KXVCvTmBNT2Wvi1Eq4b3xBhIwJiexFhbQBnc0aRgSN5vKZrjZwv/kE3oXPiC4fg0pwDl7Rg0jj6Xy3Os90otF4sNDgitX6H3wAcGVK+rEXyxm750xMYn7ymny73yD/DffVSd8389SmNJe70uT6vMs8aU8kd/PTVFKeYc5VyfscLl2mTFnjKpbzWTtw9aDbahWyJF/hK7pGSf7av0q84V5fmvxt/j46GP2envkzbwy28rPECURFw4v0A27KnRCKFdCUzNxdIcwVoPKhcKCil6WCZPuJHu9PcI0REaSX+//mnbQpuJWqFgVamGN/d4+CJjJzWS8737Sx9IspnPT7Hf22evtYQnlsugaLmPGGLV+DQBd0wHYam/RiTqUrTLlkrojANXOsXWbelAnZ+YIkiD7WkpJ3skzm5/F1V26UZcTxRN0Dnfo7TdUissrrxDe2qD/ySc4p09jLy9jTk9jLcyjj409lEt8v3542vfvKRp5FNwdJiFME2tu9lMsjEdhthyn0KV9H/fsGXWyT2JEzsvodO7580S3NjKnQmN1VYVMcKfdq14o4Jw7R/tf/xhrahq9UsGYmUEvFO6Qt99PtWrMzHxKSWotLQ1Ow03QNMy5uUGLJ6c2R8dWBlTdHtapUxCG+B9dwj17Bngw3ztpNun82XvoxSIinyfpdAh3dij/9l8juHXrU++dXp3ACoIHeueM8Gj4Uhby426KnbDDbneXWr+GpVkc9g6pelUc3WGtuQYS3px8kxvNGxz4BxjCYLuzTcJtZ8CZ3Az7vf0sPUgIwa3WLX648kPennk7C7HYaG3QClv4ic+EO4Gru6QiZa+j2CdDqTwCymYZ13SZ8qYA+PjoY7Y72ziak9nfurqbmYh5uvK3dnWXnJHjVusWZafMtDuNn6jWysqYCogeKkBtzc5aIWPuGEW7SN7Is9Pd4VrtGo7hsDq2iqVZnB0/y/u777Pd2eZk+SQTzgQ3WzfRhMZ0bpqar4adfuzTi3tUvSqzhVny14/QcuOD236XwrvfoP3Tn+FfvowxUUXXlQimePLkQ7nETyKzfxiOh0ncr0g/DsXxUfjM3rlz9OIki6fLEpBWVj51fZppYs3NKcVrVxXG4Po1hOdheB6cP/9IYprhaysMXQ1UZ2cxl5YIPv4Ymaa3LYUBDIN0cOoetpjkXY9zr/coWF/HPXuGuNEg7XbQ8jms+TniRuORNpsRnhxfykI+5Jx3wy4brQ2EJjCFyVxhjn7cJ4zDbLh4dvysYoFYOW40brDR2qAdtnl39l0SmbDT3WHMGUMKyW5nF4Cd9g71oM4/v/7POVk6yXJxmXqgUnm6YRdHdyhaRapulSiNKNtlNtubNIMmpmYy5U4xk5vhram3lGe4EFnf+dA/pBE0iJOY1EqzHnw/7mNrym+ln/ap5qoqwShqMu6ME6URfuxzrnqOXtxTPi6mQyfsoAmNIFVeMwe9AxXxpuuUnBL9WH2gc1aO16uvs9Xeohf1KNpFprwpWmFL+dvYeRVaPeDvF+0it1q3WAryiPHbp0xjeobcu9+g85OfKAFKpYJZqdwpDLlPIXwa9d+D8LDi+7QUx3s+3z2KIXDP63NWVkgODwg3NrMBadpuE7ban8q+fNDJVi+XyX/rW7jnzt3euI75lAAgpXJCbLWyOwbz3DlI4oe+Xvdq8QjHIWm18F5//TN570ZQeKkK+cNyPYcYsln+1fq/IpIRFbOS+Yv7sY+lWbwx8UamFh3CMz0mchOUrBJvz7wNwL9a/1fU+jUqToW56TluNm5y5B9RdavYus1v6r+hFbZ4d/bdjEHz4cGHRGlEM2xyvXGdMFaDSFM3KdklFvOLKjRDqHCJq/WrbHVUAlFMTMEu0Oq3aIUtNtub/HD1h9xo3sDVXTzTy+Tz7bCNQNAIG6icMfAMj5KlBqW1fo2KXcExHXY7u7SCFgc95QMzV5jD0AwSmVCyS6w315nJz/DXV/469X6dWMb0oh6vjr2KLnQM3aBgFfjl7i/pRl3KVpkwDflp60NW0iYn8ouYhy3Sbpdwdxd7eZnc2/d2wrsfnlb996R4WorjvXC/Yni/Al//X///CMMgjWPijQ3iVkttbAOa5OMoG+/rU+I4YBjg9/HefjsbQioPE+8Bj6ggNA3/o0sYpZLaGI61ZZ7Xe/dlwUtTyB8l1/M4SnaJqdwUr4y9cscE/njy0P1O7mPuWPbY31v6Xva8m61N6v06pm4ym59VPG9EtsEMC/lScYkpb4pP6p+o9kqiZPRBErBSWskUoj/Z/AlL+SWkkBnTxQ99FaJs2IhUECYhe5094jimlypTrYPeAYZu4Okelm6RkmbeL92oy053h5ncDGW7jK7pXK9fJ0xC2mGb3e4upm7iGA6z3ixhrJwiJfKOjcg1XTzDoxt3idKI1aKyRpgrzKGhZYEZ2okT1H59FdG6xuz0Kq7pkdbqpAM/lSxc4hEK4/OK8PosWjr3fa77FGRzZprw1gb+h8qky5idRQqBf+HCU6XF311g7YUFkmYLYRh32gc/wsn5eBtGcJ+2zKhwfyZ4aVgrx5koQgglITdd1lvr9/03AsHlw8tc2L/Atfo1OmGHI/+Ive4e7229x3prPfMziWREzsyxOrbKhDeRPfbwdG9pFvu9faSUnCidwDPVCcbSLeI0ph22s+ct2SVOlk/ylcmvKEVp3GXcGWexsMhGa4O97p7yZRk4DpbMErrQ2ent3HYzTFMMYWDpVuYHk8qUVKoc0W7UZbuzzb6/TxAHBEnAuDOOozt0oy4/2/4ZW50t4iTGNVxutW9x+egyjaBBlEQc+odstDYyHxfP8LK1D6/XNV2SNGG+ME/OzFHv15Gp+tjahq1ol+UKQd7CLBSptffQTRPn7Fn0XE55Rw/wsMI4PDnKMFJ96oFSMmk0nubX5pFwnI3yvNgVWqFAtLuLtbiIvbKCZprEW1sIx8043E8KVczPU/jOd3DPnUMrFfEvX6L3q18iw+DRWUBpqsRbhkHa6aAZBs65cypyboTPFC/NifxRcz2HaAZNWqHyMCmYBcIk5Je7vyRIAt6aeis71a+11shb+Qee3I8Lj35z9Bs07fb+GCYhhmZ8KpZOIvn2/Lf5zsJ3+HD/Q/Z6e9xq3mI/3me5uIyt2aQixdRNik6R8XBcnd5JsbHRhHqOcXect6beoupWqQU1wjjET3zm8/P04h7X69d5dfxVcmaOWlCjG3SzBKKFwgKmZnJx8yKxjHF0B13XOfAPqAd19jv7FK0iFbvCuDt+xx3OGxNvsFRc4tLhJa43rrPZ3sTSLOYL82x1tjLrgzAJKWo25pnTdOIu9sQryrf7yhXiWu2RT33Puk/9OHjatsCzuJMQAEGAGHLKB7+LmmXe4ZHyJBiuL97ZyfIun8ROWC8WkWGUqVjh0dsyIzwdXppC/ji5nqBO8FWvSsWpsNPdoRspNeKYO8aEp9Rww8c66B080mMvFZfY7myz3dnOvteO2szmZlkq3nl6O77ek+WTmSReInF0xUyZyE1gaRYbrQ2CNOD02GkO/UMMzcDUzSxU+bXqa3SiDr2oR9krq9DmJFQhEWE7a3M4hsOFzgWlQk1tLh9dpt6vc9g/xNEcHNNBpMr1MEoiTMNUBVmAYzjomp61iI63st6aeot+0uewd4gf+xjCyKwP+kmfpeoCod/B8/KAotVZi4skR4ePXBg/iz714+BJ2wLPwtQLlPeJfeZVov19pN9Dc13sUydJe/5TtXiOry/u9Z4q7/KzGkY/CZ5XG+554aUp5I+a6znE8AQvDMGqpX7mA/nBp37O0R1yVg4/8h/62CW7xLnxcxz5R1w+vIxrqCJ3XN14r/XmzBzzhXk22hsUnSJlu0zFqXDUOwKhxEk5mQMHLEO5NhqaQcEsMOlNcq56jvXWOpauhEbtSA05YxkTxAF78R6mZlIP6kp6L6XixKNMs9IkpRW3lMBHSEzNpBW2OFU+xanyKYI4YKe7w7Q3zceHH9MO2+x19xh3x+/IQq16VcJYuT9ePLyIrdtYmsXHXoPitT3OL7ydncCFplH8/vcf25jq8+hTP0s8qzsJvVjEmpuDVKrIOksFPqPrT9XiOb4+2es9Vd7lF2Wg+aw2zxcJL00hf9RcT1Btlb3uHlfqV6g4txkrpnY7rHiIftJnJjfDUnHpoY99XPp/fvJ8VvAfZb0Vp8J/eOY/5NLRJba729R95U8+9HoZc8bY6+5hCIOKXaEW1PBjnxPlE8rmNuzwSU25Gk5706y310HCamWVg94Bu91dDnoH2JqNNKRyWRQGuqYjkVnocpiGaELD0Z2sSFu6xYF/QM2vkTNzlOwSV+pXssSivKVO2o7uEMQB35r7FguFBX688WOCNKBSnWWsuMzu9gHegUFhfPqxP+BfpNPe4+BZ3UnYS0v0Gk2shXklcT86zJLon6Y4HV+flss9Ud7lF+30+zzbcM8LT1XIhRD/OfDXgRC4DvwdKWXjGazrifAgk6whc2S3u8tud5eqU6UnenSjLldrV5kvzlO01S+sH/ufOnk/LDMU7hy4wu3WzHHGysPWW7SLXDq8xI/Wf5SJhJaLy5i6yX5vPwu8GLJOojTi9278HmfGz3B+4jy3Wrf441t/TMEqMOFNIJHMFefoRT1qfo2pwhQ73R1c082SiSSSKW8KoYksDWi5uIxtKCaNlJJmv0nZLbNcWkYIQcVRYRu73V1WLCVnP95uqgd1zlbP3tGO8quT7GkWUw95He8LQ8e/fAlQ0voX4YT1rO4kjp92MQycU6cwymXiRkOpJovF7OvHKajH12fNzDx23uUX8fT7vNtwzwNPy1r5l8BrUso3gCvAP3z6JT17DPu5wxQdXdOpB3Vm87PkzTyRjKj5Nd6dfZd3Z9/F0iyaQTPjk9/rVH+vx//z7T9ns7VJJ+xk33N05w7GysNQskt8c+6b/Dur/w6vjL3CmfEzlJ0yNb9GwSww5o4x6U3y6virVJwKNxo3KNpFGkGDgl1gqbSErik73Al3grJdZqejREunKqco2AXG7DHKVhnbsJnNz3J2/CwVp6LsfIWGYzisVFY4O3aWNE3Vc9sFzo6dzU7fM7kZZCqVfa1Uik4/8rNZwDCk4zge97UYIisWlo33la/inj2HPOY18kXGs2S8HGeX2EvKGnbI4klqNRq/9y+Ia/XHYvUcX98w71LG8e28y4cU5Hv532ie91AmzdB/p/2Tnyg3y2fIPnqQH8zLiqc6kUsp/+jYl38O/K2nW85ng+Mn5W7cVSyVNKQdtVUUnJQ0g2ZWsB928j6O40O/SW+Sbtzlal0FSOSt/AMHrg/CUnGJn239jDF3DClllnaft/JKxg9ZT3yhuEAnUpvHTneHiq08w4VQ7oknOcl+b58pb4qUlAl3goPeAY7hKEGQ4fCTrZ9wsnySaW8aieTQP8Q1XU6VT2VtpePiqLyVZ744T82v3bPd9LjD5wehd+kS0fY2Mkmy4N5hsfii3yp/Vn3ju9sHQxl8Wq8jJiYeuZ3wtHmXT3L6/axP8S9qG+5p8Cx75H8X+P/c75tCiL8H/D2AxcXFZ/i0D8aw0ApEFl0WJqHyCR+cnJ+0wMCdm8RMfoZr9WsIIbhev46u6TSCBq9XX79jo3gUlOwSr0+8zkZ7g3bUVr1pp0TNryEGxqthElK2y3SijvIRBw79Q4IkYKezo0IhctNZH/vfe/Xfy9a8292lE3bIWSqA4q8s/RV2ujs0ggZlu8w70+8wX5y/Q8R09zBZFzrfW/oeJbv0KVVtxa6w1lq74+cfNHy+H5JGA//CBfTxKprrkoYhwdWrWCsr0Pc/9bNfpF7tEJ+FEObuApp2u8qoqtvN/u5R2wlPs74naR3dr4ftX7qEls8/9fv3RRm6fp4QUj7YeVkI8SNg+h7f+kdSyt8Z/Mw/Ar4G/E35sAcEvva1r8lf/OIXT7Dcx8OwiO90dlQCCYJ6oH6xPdMjZ+SYL87jR/4jtVCGj3m8YO10d5jLz2W83k7Y4Xr9Oh8dfsSbk2+yWFzE0I3Heo671++aLnESc7l2mX7Ux9RMPMtDppIxd4z11jpnxs/g6A4/Wv8RqUxZLCzSCBu0wzaLhUVWK6t8c+6b93yeP1z7Qw66Bzimc5u6GPWZyE3wV5b/yj2vfbiZSGQWjjE0GxsW7aHHzMMsEx6E3oUL+B9/jKbpmX93GgSQJDhnz3zK3e9uI6oXoY/+JOhduJB5n4MKjkg7XfRcDnvA4059f9Ae+exMqZ7kdW//5Cef8jRP2i38X3+A9/WvfynevyeFEOKXUsqv3f33Dz2RSym//5AH/o+A3wa+9yhF/PPE8LS8VFriWv0atmFTtst0oy5JmqjMTs26L7vlbtzLBmCvu4ejO1S92z7muqbz5uSbnJu40wr1fkPP++E4syWIA16tqLi6dtSmG3bJu3mmc9O8Xn2delDnw4MPmS/ME6cxeTvPmDdGO2xndx7vbb33qYLaDJp8cvQJzaDJmKfsej3DI0gCumH3nus5/jo4usOlw0t0o67qsxsia6fUg/pjXe+9kAw8RYKr19RAx7JASpJ6/Y4+85eNqXB3+8Aol/G3d5Th1WNK658GT3L6vdcpPlhfR69UvjTv37PG07JW/irwnwB/SUr56BKwzwnHueIrlZWsnaALnb+x8jce+3R4L1bKYnGR9dY6OSuXnUYbQYPzE3eegh6kMn0QHoUtA7DAQna9QzZJJ+wgpFCOjmlIo9/gSv0KH+x/wHcXvkvRLvLhwYdZwIQf+twKbzGVn0KTGnk3/0ivQyxjClbhDgbLk17v3RiqBZ1XVgl3dkg7bTAM3LtOal82psK9etvl3/5rirXyObcTHrc1c68edlKr4b751h0/9zK/f88aT9sj/68AG/iXg9ukP5dS/v2nXtUzwvGBW97Ks2KtZO6Gj1vE4d42AFVX2cUOmS4CQd7M83HtY8acMaZz00819HwcDK93eK0Alw4uUbJLbLY3cXSHcWecdtTmxxs/ZqW8gmu6zOXnaAUt2mFbhTj3m7w+8TpjztgjvQ45M0eURHSj2yf4Z3W9ww+95nnYK6vZSfPu4IcXVTD0NLhXAbVegHSde53i3fPnH5gONcKD8VT0QynlipRyQUr55uDPF6aIgxrQ+ZGPH/v3pMg9LoaF8jj6SZ/p3DRvTLzBa9XXSGTCXGEOU5h0og5Xa1eVdP0pnvdRca/rrffrWJqFoztZrFvBKpDIhBvNGzi6GohqQmMyN8mZ8TOqPST0+6737tdhJjdDO2pjCOOZvM7HkQUiPCTK7YtgbDXCo+M4ldI7fx7v3LnR+/cUeGncD++F4059j8MLvx8etjEMWw4T3gSrY6vqpCojjvyjp3reR8W9rvf1idcJ0iAzsQLFdqnYlSzaLm/lWamsYGomtX6NklV64Hrvfh10TWc2N8t8Yf6ZvM534+4P/b3aBY9a8Ef4YmL0/j0dHspa+SzwebFWPgs8KLziva33VE/+2DS+HbS51rjGidKJx2Ju3I8hMqT2PSobpBk0+Z1rv4Ou6SooI1HpR/OFeUzNJJFJNrQcsk0eVQT1KCEeI4wwwrPD/Vgro0L+DDFUjx4Pb750dIm8keds9ewjF8pm0ORn2z+jGTSVQVVvj4pT4SuTX6Gf9Pn46GPOjp9l3B1/pMfcaG3w440fk8iEil2h4lTQhJYNUUcFeYQRXgw8Mf1whEfH3aKZYXjzUmkpC7uAh9MQLx0q46yiWcyS6pv9JjeaN/BML5PkV73qIz3mQnGBH6788L4F+1EpgqNT+AgjfDExKuTPEHc7Gg7Dm4f+JPBotLwbzRsUzAK2YdNP+uSsHGEcstneZK4wR97M38EQeZTHfFQa4/3wuFF6I4wwwueHUSF/xjheMO8Ob4ZHo+Udb3e5hkuURCBVKkzOzNGJOuTN25vD50FtfFxnxxFGGOHzw0vNWnneuJvdcdg75PLhZXa7u3x48OF9T9Gnyqdoh+0sZ7MbdWmGTeZyc5TtMq2gRdkuP3Oq34PwLN0MRxhhhGeLUSH/DHGcDrjV2WK9tc5icZHZ/CxhGt63mJ+rnmM2P0uapsRpzExuhmlvmqpXZcwZ47dP/jYVp/KZUP3uh/tx6D/rO4ERRhjh4Ri1Vj5jHG+13B2NBvduTZTsEu/OvvvAweICC5/TFSg8bpTeCCOM8PlhVMg/J9xL3v+gIeXTDiefNR4nSm+EEUb4fDEq5J8TnmXQwvPCF21zGWGEERRGPfLPCfeS9x/2DumEHd7beu+Bw88RRhhhhAdhVMg/J9ztgxLGipZoGcqJ8UHDzxFGGGGEB2HUWvkccbw18eHBh1iGNeJljzDCCE+N0Yn8OWHEyx5hhBGeFUaF/DlhxMseYYQRnhVGhfw54VmHXowwwghfXowK+XPCsw69GGGEEb68GA07nyNGvOwRRhjhWWB0Ih9hhBFGeMExKuQjjDDCCC84RoV8hBFGGOEFx6iQjzDCCCO84BgV8hFGGGGEFxzieKzY5/akQhwA65/7E9+JKnD4nNfwWWB0XS8WRtf14uCLcE1LUsqJu//yuRTyLwKEEL+QUn7tea/jWWN0XS8WRtf14uCLfE2j1soII4wwwguOUSEfYYQRRnjB8WUu5P/4eS/gM8Loul4sjK7rxcEX9pq+tD3yEUYYYYSXBV/mE/kII4wwwkuBUSEfYYQRRnjB8aUu5EKI/1wI8RshxIdCiP9VCFF+3mt6Uggh/qoQ4hMhxDUhxP/zea/nWUAIsSCE+LEQ4mMhxCUhxH/8vNf0LCGE0IUQvxZC/N7zXsuzghCiLIT4Z4PP1cdCiHef95qeBYQQ/7fB7+BHQoj/SQjhPPxffX74Uhdy4F8Cr0kp3wCuAP/wOa/niSCE0IH/Gvi3gLPAvy+EOPt8V/VMEAP/dynlGeAbwP/pJbmuIf5j4OPnvYhnjP8S+AMp5avAeV6C6xNCzAH/F+BrUsrXAB342893VXfiS13IpZR/JKWMB1/+OTD/PNfzFHgbuCalvCGlDIH/Gfjhc17TU0NKuSOl/NXgv9uoojD3fFf1bCCEmAf+GvBPnvdanhWEEEXg3wD+OwApZSilbDzXRT07GIArhDAAD9h+zuu5A1/qQn4X/i7wvz3vRTwh5oCNY19v8pIUvCGEEMvAW8BfPOelPCv8v4H/B5A+53U8S5wEDoD/YdAy+idCiNzzXtTTQkq5BfwXwC1gB2hKKf/o+a7qTrz0hVwI8aNBX+vuPz889jP/CHUb/0+f30qfCuIef/fS8EqFEHng/wf8X6WUree9nqeFEOK3gX0p5S+f91qeMQzgK8B/K6V8C+gCL/y8RghRQd3hngBmgZwQ4v/wfFd1J176qDcp5fcf9H0hxH8E/DbwPfnikuo3gYVjX8/zBbv1e1IIIUxUEf+nUsr/5Xmv5xnhW8DfEEL824ADFIUQ/6OU8gtVHJ4Am8CmlHJ41/TPeAkKOfB94KaU8gBACPG/AN8E/sfnuqpjeOlP5A+CEOKvAv8J8DeklL3nvZ6nwPvAqhDihBDCQg1ifvc5r+mpIYQQqH7rx1LK/9fzXs+zgpTyH0op56WUy6j36o9fgiKOlHIX2BBCnB781feAy89xSc8Kt4BvCCG8we/k9/iCDXFf+hP5Q/BfATbwL9X7w59LKf/+813S40NKGQsh/gHwh6iJ+n8vpbz0nJf1LPAt4P8IXBRCfDD4u/9USvn7z29JIzwE/2fgnw4OFDeAv/Oc1/PUkFL+hRDinwG/QrVgf80XTK4/kuiPMMIII7zg+FK3VkYYYYQRXgaMCvkII4wwwguOUSEfYYQRRnjBMSrkI4wwwggvOEaFfIQRRhjhBceokI8wwggjvOAYFfIRRhhhhBcc/zt9vcvRDA5RuQAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "filenames": {
-       "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/clustering_20_0.png"
-      },
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig = plt.figure()\n",
     "ax = fig.add_subplot()\n",
@@ -518,15 +500,7 @@
     "collapsed": false,
     "editable": true
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Converged at iteration 5\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "max_iterations = 100\n",
@@ -594,23 +568,7 @@
     "collapsed": false,
     "editable": true
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "filenames": {
-       "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/clustering_24_0.png"
-      },
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig = plt.figure()\n",
     "ax = fig.add_subplot()\n",
diff --git a/doc/LectureNotes/_build/jupyter_execute/linalg.ipynb b/doc/LectureNotes/_build/jupyter_execute/linalg.ipynb
index 1885bb463..29bbcb1f1 100644
--- a/doc/LectureNotes/_build/jupyter_execute/linalg.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/linalg.ipynb
@@ -225,8 +225,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[ 0.80738685 -0.37307168 -0.28967287 -0.1023111  -0.42394972 -0.04775904\n",
-      " -0.83698677  0.60538875 -0.61463451 -1.12069773]\n"
+      "[-1.25902112 -0.51174395 -0.29276615  1.6489862  -1.69115646  1.62620724\n",
+      "  0.65444431 -1.35346808 -0.20316225  1.12630042]\n"
      ]
     }
    ],
@@ -662,26 +662,26 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[0.40214433 0.46508305 0.10620135 0.26186844 0.28067036 0.092066\n",
-      "  0.30552077 0.51265232 0.57673618 0.76674796]\n",
-      " [0.92626212 0.11046771 0.14484695 0.03981057 0.09856879 0.81187794\n",
-      "  0.43135183 0.43552433 0.03794112 0.96606158]\n",
-      " [0.76066069 0.84232163 0.38336316 0.53312754 0.35147135 0.05434571\n",
-      "  0.21472683 0.96527903 0.18912963 0.56302854]\n",
-      " [0.21786964 0.08428156 0.90895045 0.70205195 0.70980493 0.90884627\n",
-      "  0.09085624 0.35892474 0.68246089 0.51561271]\n",
-      " [0.15891336 0.25259666 0.75106135 0.07878641 0.96032148 0.31605061\n",
-      "  0.60236938 0.04368707 0.34568872 0.24276315]\n",
-      " [0.98794823 0.88871662 0.16740002 0.21997099 0.18156717 0.11402309\n",
-      "  0.85758696 0.51389553 0.45290829 0.89274639]\n",
-      " [0.21519063 0.20174121 0.32320052 0.34585355 0.93579127 0.07735703\n",
-      "  0.63860687 0.10302062 0.28047021 0.48212873]\n",
-      " [0.50727059 0.89873772 0.28875373 0.65628853 0.87940752 0.68279358\n",
-      "  0.51004249 0.46567887 0.37415316 0.91383439]\n",
-      " [0.90940378 0.25792767 0.17930649 0.24512498 0.10505137 0.0714956\n",
-      "  0.69493539 0.35203688 0.1583767  0.80747253]\n",
-      " [0.98266587 0.39456996 0.48574149 0.461175   0.30384239 0.53423784\n",
-      "  0.79009329 0.38868469 0.8991514  0.39560937]]\n"
+      "[[0.26185107 0.82454365 0.97434186 0.56556315 0.58187347 0.72509099\n",
+      "  0.19158446 0.3263505  0.0536097  0.90066122]\n",
+      " [0.34678929 0.66981186 0.44152248 0.20299677 0.1614891  0.68485505\n",
+      "  0.43333886 0.45741697 0.31311243 0.88001352]\n",
+      " [0.29661191 0.05268304 0.98153145 0.9007164  0.69481746 0.35319678\n",
+      "  0.88063413 0.06319374 0.06695337 0.75350216]\n",
+      " [0.15089627 0.58671946 0.13734823 0.72394787 0.38019139 0.422275\n",
+      "  0.35821426 0.49282737 0.19144544 0.84653115]\n",
+      " [0.38637915 0.8049181  0.49672291 0.98699753 0.8192798  0.05850532\n",
+      "  0.00152188 0.13131825 0.31229747 0.40183706]\n",
+      " [0.8705211  0.1472032  0.22567203 0.55202922 0.62683307 0.41566661\n",
+      "  0.23659936 0.85086629 0.85120833 0.79135075]\n",
+      " [0.31377492 0.38629844 0.33956555 0.64064128 0.42028578 0.58474054\n",
+      "  0.71760245 0.51732028 0.31211671 0.35894575]\n",
+      " [0.78286771 0.72594302 0.22821344 0.23962594 0.48739546 0.59190877\n",
+      "  0.8557822  0.44830642 0.90595152 0.9626883 ]\n",
+      " [0.34498451 0.90694878 0.15442554 0.43560678 0.89045167 0.21654926\n",
+      "  0.00355118 0.18695705 0.61123608 0.7386068 ]\n",
+      " [0.30813073 0.26549135 0.96812218 0.94321297 0.81592628 0.60980325\n",
+      "  0.4284066  0.8792323  0.92968793 0.82073684]]\n"
      ]
     }
    ],
@@ -800,13 +800,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.048653428302840175\n",
-      "4.098802859381565\n",
-      "-0.13229545716505003\n",
-      "[[0.89550839 2.74368436 2.15717291]\n",
-      " [2.74368436 9.71131626 6.39311435]\n",
-      " [2.15717291 6.39311435 7.55505907]]\n",
-      "[15.92603747  0.07903849  2.15680777]\n"
+      "-0.2246674023625205\n",
+      "3.345687771875474\n",
+      "-0.6084611325305795\n",
+      "[[ 1.17709473  3.57810065  3.67258699]\n",
+      " [ 3.57810065 11.8548082  11.12152272]\n",
+      " [ 3.67258699 11.12152272 15.62249103]]\n",
+      "[26.06969872  0.07319349  2.51150176]\n"
      ]
     }
    ],
@@ -853,16 +853,15 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/linalg_44_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/linalg_44_1.png b/doc/LectureNotes/_build/jupyter_execute/linalg_44_1.png
index 4c77e42d9..2e80ecf77 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/linalg_44_1.png and b/doc/LectureNotes/_build/jupyter_execute/linalg_44_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/statistics.ipynb b/doc/LectureNotes/_build/jupyter_execute/statistics.ipynb
index 05a31c73f..63a8157e2 100644
--- a/doc/LectureNotes/_build/jupyter_execute/statistics.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/statistics.ipynb
@@ -416,16 +416,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/statistics_32_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -1345,37 +1344,27 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2.3120271598582915\n",
-      "[[1.64113381e+01 8.49992743e-02 5.43294696e+00 1.48316523e+01\n",
-      "  1.02642055e+01 1.44688507e+01 1.96551427e+01 7.03071040e+00\n",
-      "  7.32039227e+00 1.96686324e+01]\n",
-      " [8.49992743e-02 4.40236901e-04 2.81388724e-02 7.68176047e-02\n",
-      "  5.31614188e-02 7.49385454e-02 1.01799917e-01 3.64141716e-02\n",
-      "  3.79145214e-02 1.01869785e-01]\n",
-      " [5.43294696e+00 2.81388724e-02 1.79856831e+00 4.90999452e+00\n",
-      "  3.39794864e+00 4.78988962e+00 6.50680321e+00 2.32750531e+00\n",
-      "  2.42340403e+00 6.51126895e+00]\n",
-      " [1.48316523e+01 7.68176047e-02 4.90999452e+00 1.34040204e+01\n",
-      "  9.27621662e+00 1.30761405e+01 1.77632220e+01 6.35396404e+00\n",
-      "  6.61576236e+00 1.77754132e+01]\n",
-      " [1.02642055e+01 5.31614188e-02 3.39794864e+00 9.27621662e+00\n",
-      "  6.41958102e+00 9.04930820e+00 1.22929905e+01 4.39724390e+00\n",
-      "  4.57842073e+00 1.23014274e+01]\n",
-      " [1.44688507e+01 7.49385454e-02 4.78988962e+00 1.30761405e+01\n",
-      "  9.04930820e+00 1.27562809e+01 1.73287103e+01 6.19853775e+00\n",
-      "  6.45393214e+00 1.73406033e+01]\n",
-      " [1.96551427e+01 1.01799917e-01 6.50680321e+00 1.77632220e+01\n",
-      "  1.22929905e+01 1.73287103e+01 2.35401056e+01 8.42037468e+00\n",
-      "  8.76731400e+00 2.35562617e+01]\n",
-      " [7.03071040e+00 3.64141716e-02 2.32750531e+00 6.35396404e+00\n",
-      "  4.39724390e+00 6.19853775e+00 8.42037468e+00 3.01199624e+00\n",
-      "  3.13609760e+00 8.42615374e+00]\n",
-      " [7.32039227e+00 3.79145214e-02 2.42340403e+00 6.61576236e+00\n",
-      "  4.57842073e+00 6.45393214e+00 8.76731400e+00 3.13609760e+00\n",
-      "  3.26531223e+00 8.77333117e+00]\n",
-      " [1.96686324e+01 1.01869785e-01 6.51126895e+00 1.77754132e+01\n",
-      "  1.23014274e+01 1.73406033e+01 2.35562617e+01 8.42615374e+00\n",
-      "  8.77333117e+00 2.35724288e+01]]\n"
+      "1.1297300314822336\n",
+      "[[ 9.30839676 15.51664729 15.66620847  8.85065653 10.38302314  7.56183518\n",
+      "   8.50754416 10.88560514  9.76063234  3.03168642]\n",
+      " [15.51664729 25.86550074 26.11481199 14.75361646 17.3079975  12.6052136\n",
+      "  14.18166474 18.1457774  16.27050214  5.05367466]\n",
+      " [15.66620847 26.11481199 26.3665263  14.89582298 17.47482507 12.72671218\n",
+      "  14.31835835 18.32068012 16.42732954  5.1023858 ]\n",
+      " [ 8.85065653 14.75361646 14.89582298  8.41542567  9.87243817  7.18998208\n",
+      "   8.08918584 10.35030572  9.28065343  2.8826033 ]\n",
+      " [10.38302314 17.3079975  17.47482507  9.87243817 11.58171189  8.43482628\n",
+      "   9.48971452 12.14231548 10.88746795  3.38168549]\n",
+      " [ 7.56183518 12.6052136  12.72671218  7.18998208  8.43482628  6.14298603\n",
+      "   6.91124889  8.84310736  7.92921648  2.46284227]\n",
+      " [ 8.50754416 14.18166474 14.31835835  8.08918584  9.48971452  6.91124889\n",
+      "   7.77559332  9.94905663  8.92087142  2.77085375]\n",
+      " [10.88560514 18.1457774  18.32068012 10.35030572 12.14231548  8.84310736\n",
+      "   9.94905663 12.73005463 11.41446721  3.54537329]\n",
+      " [ 9.76063234 16.27050214 16.42732954  9.28065343 10.88746795  7.92921648\n",
+      "   8.92087142 11.41446721 10.23483916  3.17897671]\n",
+      " [ 3.03168642  5.05367466  5.1023858   2.8826033   3.38168549  2.46284227\n",
+      "   2.77085375  3.54537329  3.17897671  0.98740124]]\n"
      ]
     }
    ],
@@ -2012,15 +2001,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.11674401539815678\n",
-      "4.220506557673408\n",
-      "0.15843769515580663\n",
-      "1.1096767776832326 11.97547354476579 11.11598862273198\n",
-      "3.5031474174499113 2.829648415811072 9.094404754965417\n",
-      "[[ 1.10967678  3.50314742  2.82964842]\n",
-      " [ 3.50314742 11.97547354  9.09440475]\n",
-      " [ 2.82964842  9.09440475 11.11598862]]\n",
-      "[21.63207808  0.07291729  2.49614357]\n"
+      "-0.09083636328656121\n",
+      "3.6943316601792833\n",
+      "-0.35793003441520066\n",
+      "0.8866190885623907 9.823585220707946 13.828190347382744\n",
+      "2.7923086060375724 2.5472246386316972 7.87667593906086\n",
+      "[[ 0.88661909  2.79230861  2.54722464]\n",
+      " [ 2.79230861  9.82358522  7.87667594]\n",
+      " [ 2.54722464  7.87667594 13.82819035]]\n",
+      "[20.65578316  0.07532297  3.80728853]\n"
      ]
     }
    ],
@@ -2649,16 +2638,15 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/statistics_181_0.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
@@ -2776,21 +2764,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-0.01212754811385597 1.0209518407597062\n"
+      "0.008818897251043893 0.9940672992288855\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
       "filenames": {
        "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/statistics_188_1.png"
-      },
-      "needs_background": "light"
+      }
      },
      "output_type": "display_data"
     }
diff --git a/doc/LectureNotes/_build/jupyter_execute/statistics_181_0.png b/doc/LectureNotes/_build/jupyter_execute/statistics_181_0.png
index 67f950c3a..9ebf1ec3e 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/statistics_181_0.png and b/doc/LectureNotes/_build/jupyter_execute/statistics_181_0.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/statistics_188_1.png b/doc/LectureNotes/_build/jupyter_execute/statistics_188_1.png
index 9f8140fbe..8fe8c9418 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/statistics_188_1.png and b/doc/LectureNotes/_build/jupyter_execute/statistics_188_1.png differ
diff --git a/doc/LectureNotes/_build/jupyter_execute/statistics_32_0.png b/doc/LectureNotes/_build/jupyter_execute/statistics_32_0.png
index 5adbf9cac..02d4353f5 100644
Binary files a/doc/LectureNotes/_build/jupyter_execute/statistics_32_0.png and b/doc/LectureNotes/_build/jupyter_execute/statistics_32_0.png differ
diff --git a/doc/LectureNotes/gaussian.pdf b/doc/LectureNotes/gaussian.pdf
index 6bc7022ec..bced77758 100644
Binary files a/doc/LectureNotes/gaussian.pdf and b/doc/LectureNotes/gaussian.pdf differ