Split torch into cpu/cuda extras and pin dependency version bounds
Pins torch to 2.3.x via mutually-exclusive cpu/cuda uv extras (newer torch requires newer NVIDIA drivers), and adds upper bounds to the other dependencies based on current PyPI releases. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -5,12 +5,16 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
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## Commands
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```bash
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uv sync # install dependencies (including dev extras: uv sync --extra dev)
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uv sync --extra cpu # install dependencies with CPU-only torch (standard/default)
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uv sync --extra cuda # install dependencies with CUDA 11.8 torch
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uv sync --extra cpu --extra dev # add dev extras (pytest, etc.)
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pytest # run tests
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python scripts/train.py --data path/to/steps.parquet --mode flow # train (flow matching)
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python scripts/train.py --data path/to/steps.parquet --mode ddpm # train (DDPM baseline)
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```
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`cpu` and `cuda` are mutually exclusive — pick one to select the torch build (pinned to 2.3.x; newer torch requires newer NVIDIA drivers). Plain `uv sync` with no extra will not install torch at all; uv has no concept of a "default extra", so `--extra cpu` should always be included unless you need GPU support.
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## Architecture
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GIANT is a conditional generative surrogate for the Geant4 step function. It replaces the stochastic physics engine: given a pre-step particle state (conditioning), it samples a post-step outcome.
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+40
-11
@@ -5,25 +5,30 @@ description = "Geant4 step-function surrogate via conditional flow matching"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"torch>=2.3",
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"numpy>=1.26",
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"pandas>=2.2",
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"pyarrow>=16",
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"typer>=0.12",
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"numpy>=1.26,<3",
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"pandas>=2.2,<4",
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"pyarrow>=16,<25",
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"typer>=0.12,<1",
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]
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[project.optional-dependencies]
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cpu = [
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"torch>=2.3,<2.4",
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]
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cuda = [
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"torch>=2.3,<2.4",
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]
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dev = [
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"pytest>=8",
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"pytest>=8,<10",
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]
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convert = [
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"uproot>=5.3",
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"awkward>=2.6",
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"polars>=1.0",
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"uproot>=5.3,<6",
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"awkward>=2.6,<3",
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"polars>=1.0,<2",
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]
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analysis = [
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"matplotlib>=3.8",
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"polars>=1.0",
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"matplotlib>=3.8,<4",
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"polars>=1.0,<2",
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]
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[project.scripts]
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@@ -35,3 +40,27 @@ build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["giant"]
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[tool.uv]
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conflicts = [
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[
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{ extra = "cpu" },
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{ extra = "cuda" },
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],
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]
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[tool.uv.sources]
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torch = [
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{ index = "pytorch-cpu", extra = "cpu" },
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{ index = "pytorch-cu118", extra = "cuda" },
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]
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[[tool.uv.index]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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explicit = true
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[[tool.uv.index]]
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name = "pytorch-cu118"
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url = "https://download.pytorch.org/whl/cu118"
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explicit = true
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@@ -2,13 +2,30 @@ version = 1
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revision = 3
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requires-python = ">=3.12"
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resolution-markers = [
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"python_full_version >= '3.14' and sys_platform == 'win32'",
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"python_full_version >= '3.14' and sys_platform == 'emscripten'",
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"python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
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"python_full_version < '3.14' and sys_platform == 'win32'",
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"python_full_version < '3.14' and sys_platform == 'emscripten'",
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"python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
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"python_full_version >= '3.14' and sys_platform == 'win32' and extra != 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda'",
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"python_full_version >= '3.14' and sys_platform == 'emscripten' and extra != 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda'",
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||||
"python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32' and extra != 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda'",
|
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"python_full_version < '3.14' and sys_platform == 'win32' and extra != 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda'",
|
||||
"python_full_version < '3.14' and sys_platform == 'emscripten' and extra != 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda'",
|
||||
"python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32' and extra != 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda'",
|
||||
"python_full_version >= '3.14' and sys_platform == 'win32' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
|
||||
"python_full_version >= '3.14' and sys_platform == 'emscripten' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
|
||||
"python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
|
||||
"python_full_version < '3.14' and sys_platform == 'win32' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
|
||||
"python_full_version < '3.14' and sys_platform == 'emscripten' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
|
||||
"(python_full_version == '3.13.*' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda') or (python_full_version < '3.14' and platform_machine != 'aarch64' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda') or (python_full_version < '3.14' and platform_python_implementation != 'CPython' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda') or (python_full_version < '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda')",
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||||
"(python_full_version < '3.13' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda') or (python_full_version < '3.14' and sys_platform == 'darwin' and extra == 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda')",
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||||
"python_full_version >= '3.14' and sys_platform == 'win32' and extra != 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
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||||
"python_full_version >= '3.14' and sys_platform == 'emscripten' and extra != 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
|
||||
"python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32' and extra != 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
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||||
"python_full_version < '3.14' and sys_platform == 'win32' and extra != 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
|
||||
"python_full_version < '3.14' and sys_platform == 'emscripten' and extra != 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
|
||||
"python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32' and extra != 'extra-5-giant-cpu' and extra != 'extra-5-giant-cuda'",
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||||
]
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conflicts = [[
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{ package = "giant", extra = "cpu" },
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||||
{ package = "giant", extra = "cuda" },
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||||
]]
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||||
|
||||
[[package]]
|
||||
name = "annotated-doc"
|
||||
@@ -224,72 +241,6 @@ wheels = [
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||||
{ url = "https://files.pythonhosted.org/packages/ce/c6/c71e82e041c95ffe6a92ac707785500aa2a515a4339c2c7dd67e3c449249/cramjam-2.11.0-cp314-cp314t-win_amd64.whl", hash = "sha256:028400d699442d40dbda02f74158c73d05cb76587a12490d0bfedd958fd49188", size = 1713108, upload-time = "2025-07-27T21:24:10.147Z" },
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]
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||||
|
||||
[[package]]
|
||||
name = "cuda-bindings"
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||||
version = "13.3.1"
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||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
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{ name = "cuda-pathfinder", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
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]
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/ce/67/5e7dba1ba576dd73da5dee894ca076ca5e959450dfff66d6d510a255d1f7/cuda_bindings-13.3.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c7855c4868aabc0cfae28abbe83d56734bdfbd08f08fc234ac1912a12858bf49", size = 6025351, upload-time = "2026-05-29T23:11:49.685Z" },
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{ url = "https://files.pythonhosted.org/packages/39/2a/6d2e9047d1fb243dbaa364b01e0297534b9ed7fd27dba1c9f361519cf69b/cuda_bindings-13.3.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e32d08f71ebcdf00f0f41eab2eb37e8da94c8ed411cc9f7f7a019ce6b34abe3a", size = 6657965, upload-time = "2026-05-29T23:11:52.227Z" },
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{ url = "https://files.pythonhosted.org/packages/cc/6e/2394f8163360f8391f8f1b7e72d300a82724edb81a7b7084c799fbd4c91f/cuda_bindings-13.3.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9efb21c1ee64981e184b9e0ba5eb3179e5ba3d4b51665a6cb52b8ef3d01a7cbf", size = 5920504, upload-time = "2026-05-29T23:11:56.883Z" },
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{ url = "https://files.pythonhosted.org/packages/34/c2/ef9b6a63f7dc432712a462c816662e662e00d38caa9b861c8c2588195d03/cuda_bindings-13.3.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2732904099e0a4d4db774a5fc6d91ee95fae065b4d2ecabb4968c5fe2406c9d7", size = 6476660, upload-time = "2026-05-29T23:11:59.188Z" },
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{ url = "https://files.pythonhosted.org/packages/b1/81/bff68ce829999c1e4209c761bbf903b1c06ec570416ddb25020864ad5907/cuda_bindings-13.3.1-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1ab2f74ed65bfef4163ba07a8db16f1085e0729291db12a2423aff84ee8278b8", size = 6013639, upload-time = "2026-05-29T23:12:03.509Z" },
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{ url = "https://files.pythonhosted.org/packages/d4/e0/c8a1f0c8f9ffdea4f5fe6dbab89b326cef4d85caf489dad39e209da89416/cuda_bindings-13.3.1-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:efd4c814d311ec08c981f6dded1dbe7d4b371067ee4f6c14cccec4bde9590f80", size = 6534419, upload-time = "2026-05-29T23:12:05.633Z" },
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{ url = "https://files.pythonhosted.org/packages/52/b8/83b1f563925b290f2d11a01a77a84013ba56052fe3653a5bef3ccfbb43d6/cuda_bindings-13.3.1-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c3c772dfff49681541d59630c90f858e173ac926b9c593a2b7123f2a1043cc76", size = 5809771, upload-time = "2026-05-29T23:12:10.422Z" },
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{ url = "https://files.pythonhosted.org/packages/12/20/e79b4bfe98f075195afb6343d41c498f9dbd2d161d7021d4d28bceb83581/cuda_bindings-13.3.1-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:36febb7c1079d68a981dbbd8d5a67235b399802b82075c9388624719607e52b9", size = 6358584, upload-time = "2026-05-29T23:12:12.767Z" },
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]
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[[package]]
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name = "cuda-pathfinder"
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version = "1.5.5"
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source = { registry = "https://pypi.org/simple" }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/11/c8/26f2e4aae92f11522a96043892ba39a90eac610d5242523aa863212bc1c7/cuda_pathfinder-1.5.5-py3-none-any.whl", hash = "sha256:0228c023f95d1480f143ef5c8922d27a2ab052087a942e81dc289c9eb8f91689", size = 51671, upload-time = "2026-05-27T01:21:25.413Z" },
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]
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[[package]]
|
||||
name = "cuda-toolkit"
|
||||
version = "13.0.2"
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source = { registry = "https://pypi.org/simple" }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/57/b2/453099f5f3b698d7d0eab38916aac44c7f76229f451709e2eb9db6615dcd/cuda_toolkit-13.0.2-py2.py3-none-any.whl", hash = "sha256:b198824cf2f54003f50d64ada3a0f184b42ca0846c1c94192fa269ecd97a66eb", size = 2364, upload-time = "2025-12-19T23:24:07.328Z" },
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]
|
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|
||||
[package.optional-dependencies]
|
||||
cudart = [
|
||||
{ name = "nvidia-cuda-runtime", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
cufft = [
|
||||
{ name = "nvidia-cufft", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
cufile = [
|
||||
{ name = "nvidia-cufile", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
cupti = [
|
||||
{ name = "nvidia-cuda-cupti", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
curand = [
|
||||
{ name = "nvidia-curand", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
cusolver = [
|
||||
{ name = "nvidia-cusolver", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
cusparse = [
|
||||
{ name = "nvidia-cusparse", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
nvjitlink = [
|
||||
{ name = "nvidia-nvjitlink", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
nvrtc = [
|
||||
{ name = "nvidia-cuda-nvrtc", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
nvtx = [
|
||||
{ name = "nvidia-nvtx", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "cycler"
|
||||
version = "0.12.1"
|
||||
@@ -366,7 +317,6 @@ dependencies = [
|
||||
{ name = "numpy" },
|
||||
{ name = "pandas" },
|
||||
{ name = "pyarrow" },
|
||||
{ name = "torch" },
|
||||
{ name = "typer" },
|
||||
]
|
||||
|
||||
@@ -380,25 +330,33 @@ convert = [
|
||||
{ name = "polars" },
|
||||
{ name = "uproot" },
|
||||
]
|
||||
cpu = [
|
||||
{ name = "torch", version = "2.3.1", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version < '3.13' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu') or (python_full_version < '3.14' and sys_platform == 'darwin' and extra == 'extra-5-giant-cpu') or (python_full_version >= '3.13' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda') or (platform_machine != 'aarch64' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda') or (platform_python_implementation != 'CPython' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda') or (sys_platform == 'darwin' and extra == 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda')" },
|
||||
{ name = "torch", version = "2.3.1+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version >= '3.14' and sys_platform == 'darwin' and extra == 'extra-5-giant-cpu') or (python_full_version >= '3.13' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu') or (python_full_version < '3.13' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda') or (platform_machine != 'aarch64' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu') or (platform_python_implementation != 'CPython' and sys_platform == 'linux' and extra == 'extra-5-giant-cpu') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-5-giant-cpu') or (sys_platform == 'darwin' and extra == 'extra-5-giant-cpu' and extra == 'extra-5-giant-cuda')" },
|
||||
]
|
||||
cuda = [
|
||||
{ name = "torch", version = "2.3.1+cu118", source = { registry = "https://download.pytorch.org/whl/cu118" } },
|
||||
]
|
||||
dev = [
|
||||
{ name = "pytest" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "awkward", marker = "extra == 'convert'", specifier = ">=2.6" },
|
||||
{ name = "matplotlib", marker = "extra == 'analysis'", specifier = ">=3.8" },
|
||||
{ name = "numpy", specifier = ">=1.26" },
|
||||
{ name = "pandas", specifier = ">=2.2" },
|
||||
{ name = "polars", marker = "extra == 'analysis'", specifier = ">=1.0" },
|
||||
{ name = "polars", marker = "extra == 'convert'", specifier = ">=1.0" },
|
||||
{ name = "pyarrow", specifier = ">=16" },
|
||||
{ name = "pytest", marker = "extra == 'dev'", specifier = ">=8" },
|
||||
{ name = "torch", specifier = ">=2.3" },
|
||||
{ name = "typer", specifier = ">=0.12" },
|
||||
{ name = "uproot", marker = "extra == 'convert'", specifier = ">=5.3" },
|
||||
{ name = "awkward", marker = "extra == 'convert'", specifier = ">=2.6,<3" },
|
||||
{ name = "matplotlib", marker = "extra == 'analysis'", specifier = ">=3.8,<4" },
|
||||
{ name = "numpy", specifier = ">=1.26,<3" },
|
||||
{ name = "pandas", specifier = ">=2.2,<4" },
|
||||
{ name = "polars", marker = "extra == 'analysis'", specifier = ">=1.0,<2" },
|
||||
{ name = "polars", marker = "extra == 'convert'", specifier = ">=1.0,<2" },
|
||||
{ name = "pyarrow", specifier = ">=16,<25" },
|
||||
{ name = "pytest", marker = "extra == 'dev'", specifier = ">=8,<10" },
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Reference in New Issue
Block a user