updating text

doc/src/LectureNotes/_build/latex/reports/gettingstarted.log

@@ -1,4 +1,5 @@
 Traceback (most recent call last):
+<<<<<<< HEAD
   File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/jupyter_cache/executors/utils.py", line 56, in single_nb_execution
     record_timing=False,
   File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 1082, in execute
@@ -14,6 +15,23 @@ Traceback (most recent call last):
   File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 827, in async_execute_cell
     self._check_raise_for_error(cell, exec_reply)
   File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 735, in _check_raise_for_error
+=======
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution
+    executenb(
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 1082, in execute
+    return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
+    return just_run(coro(*args, **kwargs))
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
+    return loop.run_until_complete(coro)
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
+    return future.result()
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 535, in async_execute
+    await self.async_execute_cell(
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 827, in async_execute_cell
+    self._check_raise_for_error(cell, exec_reply)
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 735, in _check_raise_for_error
+>>>>>>> 490fdaaefb7f465badc10b38c531979d063d6c64
     raise CellExecutionError.from_cell_and_msg(cell, exec_reply['content'])
 nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
 ------------------

doc/src/LectureNotes/_build/latex/reports/regression.log

@@ -0,0 +1,116 @@
+Traceback (most recent call last):
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution
+    executenb(
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 1082, in execute
+    return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
+    return just_run(coro(*args, **kwargs))
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
+    return loop.run_until_complete(coro)
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
+    return future.result()
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 535, in async_execute
+    await self.async_execute_cell(
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 827, in async_execute_cell
+    self._check_raise_for_error(cell, exec_reply)
+  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 735, in _check_raise_for_error
+    raise CellExecutionError.from_cell_and_msg(cell, exec_reply['content'])
+nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
+------------------
+from numpy import *
+from numpy.random import randint, randn
+from time import time
+import matplotlib.mlab as mlab
+import matplotlib.pyplot as plt
+
+# Returns mean of bootstrap samples                                                                                                                                                
+def stat(data):
+    return mean(data)
+
+# Bootstrap algorithm
+def bootstrap(data, statistic, R):
+    t = zeros(R); n = len(data); inds = arange(n); t0 = time()
+    # non-parametric bootstrap         
+    for i in range(R):
+        t[i] = statistic(data[randint(0,n,n)])
+
+    # analysis    
+    print("Runtime: %g sec" % (time()-t0)); print("Bootstrap Statistics :")
+    print("original           bias      std. error")
+    print("%8g %8g %14g %15g" % (statistic(data), std(data),mean(t),std(t)))
+    return t
+
+
+mu, sigma = 100, 15
+datapoints = 10000
+x = mu + sigma*random.randn(datapoints)
+# bootstrap returns the data sample                                    
+t = bootstrap(x, stat, datapoints)
+# the histogram of the bootstrapped  data                                                                                                    
+n, binsboot, patches = plt.hist(t, 50, normed=1, facecolor='red', alpha=0.75)
+
+# add a 'best fit' line  
+y = mlab.normpdf( binsboot, mean(t), std(t))
+lt = plt.plot(binsboot, y, 'r--', linewidth=1)
+plt.xlabel('Smarts')
+plt.ylabel('Probability')
+plt.axis([99.5, 100.6, 0, 3.0])
+plt.grid(True)
+
+plt.show()
+------------------
+
+---------------------------------------------------------------------------
+AttributeError                            Traceback (most recent call last)
+<ipython-input-29-53990135e988> in <module>
+     29 t = bootstrap(x, stat, datapoints)
+     30 # the histogram of the bootstrapped  data
+---> 31 n, binsboot, patches = plt.hist(t, 50, normed=1, facecolor='red', alpha=0.75)
+     32 
+     33 # add a 'best fit' line
+
+~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/pyplot.py in hist(x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, data, **kwargs)
+   2603         orientation='vertical', rwidth=None, log=False, color=None,
+   2604         label=None, stacked=False, *, data=None, **kwargs):
+-> 2605     return gca().hist(
+   2606         x, bins=bins, range=range, density=density, weights=weights,
+   2607         cumulative=cumulative, bottom=bottom, histtype=histtype,
+
+~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
+   1563     def inner(ax, *args, data=None, **kwargs):
+   1564         if data is None:
+-> 1565             return func(ax, *map(sanitize_sequence, args), **kwargs)
+   1566 
+   1567         bound = new_sig.bind(ax, *args, **kwargs)
+
+~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_axes.py in hist(self, x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)
+   6817             if patch:
+   6818                 p = patch[0]
+-> 6819                 p.update(kwargs)
+   6820                 if lbl is not None:
+   6821                     p.set_label(lbl)
+
+~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in update(self, props)
+   1004 
+   1005         with cbook._setattr_cm(self, eventson=False):
+-> 1006             ret = [_update_property(self, k, v) for k, v in props.items()]
+   1007 
+   1008         if len(ret):
+
+~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in <listcomp>(.0)
+   1004 
+   1005         with cbook._setattr_cm(self, eventson=False):
+-> 1006             ret = [_update_property(self, k, v) for k, v in props.items()]
+   1007 
+   1008         if len(ret):
+
+~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in _update_property(self, k, v)
+    999                 func = getattr(self, 'set_' + k, None)
+   1000                 if not callable(func):
+-> 1001                     raise AttributeError('{!r} object has no property {!r}'
+   1002                                          .format(type(self).__name__, k))
+   1003                 return func(v)
+
+AttributeError: 'Rectangle' object has no property 'normed'
+AttributeError: 'Rectangle' object has no property 'normed'
+