lyangas
commited on
Commit
•
9638727
1
Parent(s):
75d7fb5
fix versions in poetry lock
Browse files- poetry.lock +209 -76
- pyproject.toml +0 -5
poetry.lock
CHANGED
@@ -317,6 +317,16 @@ files = [
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{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"},
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{file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
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{file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
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{file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"},
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{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"},
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{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"},
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@@ -386,33 +396,47 @@ test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
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[[package]]
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name = "numpy"
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version = "1.
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description = "
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optional = false
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python-versions = ">=3.
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files = [
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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{file = "numpy-1.
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]
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[[package]]
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@@ -426,6 +450,103 @@ files = [
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{file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
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[[package]]
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name = "pyyaml"
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version = "6.0.1"
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@@ -451,6 +572,7 @@ files = [
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{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
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{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
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{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
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{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
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{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
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{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
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@@ -647,41 +769,56 @@ tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (
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[[package]]
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name = "scipy"
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version = "1.
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description = "Fundamental algorithms for scientific computing in Python"
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optional = false
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python-versions = "
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files = [
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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{file = "scipy-1.
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]
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[package.dependencies]
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numpy = ">=1.
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[package.extras]
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dev = ["
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doc = ["matplotlib (
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test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
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[[package]]
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name = "sympy"
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@@ -764,31 +901,12 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
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[[package]]
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name = "torch"
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version = "2.0.1"
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description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "torch-2.0.1-
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{file = "torch-2.0.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:359bfaad94d1cda02ab775dc1cc386d585712329bb47b8741607ef6ef4950747"},
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{file = "torch-2.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:7c84e44d9002182edd859f3400deaa7410f5ec948a519cc7ef512c2f9b34d2c4"},
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{file = "torch-2.0.1-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:567f84d657edc5582d716900543e6e62353dbe275e61cdc36eda4929e46df9e7"},
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{file = "torch-2.0.1-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:1bcffc16b89e296826b33b98db5166f990e3b72654a2b90673e817b16c50e32b"},
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{file = "torch-2.0.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:e10e1597f2175365285db1b24019eb6f04d53dcd626c735fc502f1e8b6be9875"},
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{file = "torch-2.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:8742bdc62946c93f75ff92da00e3803216c6cce9b132fbca69664ca38cfb3e18"},
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]
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[package.dependencies]
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[package.extras]
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opt-einsum = ["opt-einsum (>=3.3)"]
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[[package]]
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name = "tqdm"
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version = "4.66.1"
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{file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
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[[package]]
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name = "urllib3"
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version = "2.0.7"
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[metadata]
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lock-version = "2.0"
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python-versions = "3.
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content-hash = "
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{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"},
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{file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
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{file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
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{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"},
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[[package]]
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name = "numpy"
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version = "1.26.3"
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description = "Fundamental package for array computing in Python"
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optional = false
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python-versions = ">=3.9"
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files = [
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{file = "numpy-1.26.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:806dd64230dbbfaca8a27faa64e2f414bf1c6622ab78cc4264f7f5f028fee3bf"},
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{file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
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550 |
[[package]]
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551 |
name = "pyyaml"
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version = "6.0.1"
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{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
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{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
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576 |
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
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{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
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{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
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|
|
769 |
|
770 |
[[package]]
|
771 |
name = "scipy"
|
772 |
+
version = "1.13.1"
|
773 |
description = "Fundamental algorithms for scientific computing in Python"
|
774 |
optional = false
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775 |
+
python-versions = ">=3.9"
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776 |
+
files = [
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777 |
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{file = "scipy-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:20335853b85e9a49ff7572ab453794298bcf0354d8068c5f6775a0eabf350aca"},
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{file = "scipy-1.13.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d605e9c23906d1994f55ace80e0125c587f96c020037ea6aa98d01b4bd2e222f"},
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779 |
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{file = "scipy-1.13.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfa31f1def5c819b19ecc3a8b52d28ffdcc7ed52bb20c9a7589669dd3c250989"},
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780 |
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{file = "scipy-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26264b282b9da0952a024ae34710c2aff7d27480ee91a2e82b7b7073c24722f"},
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{file = "scipy-1.13.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:eccfa1906eacc02de42d70ef4aecea45415f5be17e72b61bafcfd329bdc52e94"},
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{file = "scipy-1.13.1-cp310-cp310-win_amd64.whl", hash = "sha256:2831f0dc9c5ea9edd6e51e6e769b655f08ec6db6e2e10f86ef39bd32eb11da54"},
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{file = "scipy-1.13.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:27e52b09c0d3a1d5b63e1105f24177e544a222b43611aaf5bc44d4a0979e32f9"},
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784 |
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{file = "scipy-1.13.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:54f430b00f0133e2224c3ba42b805bfd0086fe488835effa33fa291561932326"},
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{file = "scipy-1.13.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e89369d27f9e7b0884ae559a3a956e77c02114cc60a6058b4e5011572eea9299"},
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786 |
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{file = "scipy-1.13.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:45484bee6d65633752c490404513b9ef02475b4284c4cfab0ef946def50b3f59"},
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788 |
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{file = "scipy-1.13.1-cp311-cp311-win_amd64.whl", hash = "sha256:5713f62f781eebd8d597eb3f88b8bf9274e79eeabf63afb4a737abc6c84ad37b"},
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789 |
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{file = "scipy-1.13.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5d72782f39716b2b3509cd7c33cdc08c96f2f4d2b06d51e52fb45a19ca0c86a1"},
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{file = "scipy-1.13.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:017367484ce5498445aade74b1d5ab377acdc65e27095155e448c88497755a5d"},
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791 |
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{file = "scipy-1.13.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:949ae67db5fa78a86e8fa644b9a6b07252f449dcf74247108c50e1d20d2b4627"},
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792 |
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{file = "scipy-1.13.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de3ade0e53bc1f21358aa74ff4830235d716211d7d077e340c7349bc3542e884"},
|
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{file = "scipy-1.13.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2ac65fb503dad64218c228e2dc2d0a0193f7904747db43014645ae139c8fad16"},
|
794 |
+
{file = "scipy-1.13.1-cp312-cp312-win_amd64.whl", hash = "sha256:cdd7dacfb95fea358916410ec61bbc20440f7860333aee6d882bb8046264e949"},
|
795 |
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{file = "scipy-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:436bbb42a94a8aeef855d755ce5a465479c721e9d684de76bf61a62e7c2b81d5"},
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796 |
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{file = "scipy-1.13.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:8335549ebbca860c52bf3d02f80784e91a004b71b059e3eea9678ba994796a24"},
|
797 |
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{file = "scipy-1.13.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d533654b7d221a6a97304ab63c41c96473ff04459e404b83275b60aa8f4b7004"},
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798 |
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{file = "scipy-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637e98dcf185ba7f8e663e122ebf908c4702420477ae52a04f9908707456ba4d"},
|
799 |
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{file = "scipy-1.13.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a014c2b3697bde71724244f63de2476925596c24285c7a637364761f8710891c"},
|
800 |
+
{file = "scipy-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:392e4ec766654852c25ebad4f64e4e584cf19820b980bc04960bca0b0cd6eaa2"},
|
801 |
+
{file = "scipy-1.13.1.tar.gz", hash = "sha256:095a87a0312b08dfd6a6155cbbd310a8c51800fc931b8c0b84003014b874ed3c"},
|
802 |
]
|
803 |
|
804 |
[package.dependencies]
|
805 |
+
numpy = ">=1.22.4,<2.3"
|
806 |
|
807 |
[package.extras]
|
808 |
+
dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
|
809 |
+
doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.12.0)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
|
810 |
+
test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
|
811 |
+
|
812 |
+
[[package]]
|
813 |
+
name = "six"
|
814 |
+
version = "1.16.0"
|
815 |
+
description = "Python 2 and 3 compatibility utilities"
|
816 |
+
optional = false
|
817 |
+
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
|
818 |
+
files = [
|
819 |
+
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
|
820 |
+
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
|
821 |
+
]
|
822 |
|
823 |
[[package]]
|
824 |
name = "sympy"
|
|
|
901 |
|
902 |
[[package]]
|
903 |
name = "torch"
|
904 |
+
version = "2.0.1+cpu.cxx11.abi"
|
905 |
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
|
906 |
optional = false
|
907 |
python-versions = ">=3.8.0"
|
908 |
files = [
|
909 |
+
{file = "torch-2.0.1+cpu.cxx11.abi-cp38-cp38-linux_x86_64.whl", hash = "sha256:fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"},
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
910 |
]
|
911 |
|
912 |
[package.dependencies]
|
|
|
919 |
[package.extras]
|
920 |
opt-einsum = ["opt-einsum (>=3.3)"]
|
921 |
|
922 |
+
[package.source]
|
923 |
+
type = "url"
|
924 |
+
url = "https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.0.1%2Bcpu.cxx11.abi-cp38-cp38-linux_x86_64.whl#sha256=fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"
|
925 |
+
|
926 |
[[package]]
|
927 |
name = "tqdm"
|
928 |
version = "4.66.1"
|
|
|
1022 |
{file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
|
1023 |
]
|
1024 |
|
1025 |
+
[[package]]
|
1026 |
+
name = "tzdata"
|
1027 |
+
version = "2024.1"
|
1028 |
+
description = "Provider of IANA time zone data"
|
1029 |
+
optional = false
|
1030 |
+
python-versions = ">=2"
|
1031 |
+
files = [
|
1032 |
+
{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
|
1033 |
+
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
|
1034 |
+
]
|
1035 |
+
|
1036 |
[[package]]
|
1037 |
name = "urllib3"
|
1038 |
version = "2.0.7"
|
|
|
1096 |
|
1097 |
[metadata]
|
1098 |
lock-version = "2.0"
|
1099 |
+
python-versions = "^3.9"
|
1100 |
+
content-hash = "6a849f1d84f420de55ee25844893805317668aac2f8420b65caac9d7edd30e60"
|
pyproject.toml
CHANGED
@@ -14,11 +14,6 @@ werkzeug = "2.2.2"
|
|
14 |
torch = {url = "https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.0.1%2Bcpu.cxx11.abi-cp38-cp38-linux_x86_64.whl#sha256=fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"}
|
15 |
numpy = "1.26.3"
|
16 |
pandas = "2.2.0"
|
17 |
-
accelerate = "^0.25.0"
|
18 |
-
experiments = "0.1.0"
|
19 |
-
matplotlib = "3.8.2"
|
20 |
-
plotly = "5.18.0"
|
21 |
-
protobuf = "4.25.2"
|
22 |
tqdm = "4.66.1"
|
23 |
|
24 |
[tool.poetry.dev-dependencies]
|
|
|
14 |
torch = {url = "https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.0.1%2Bcpu.cxx11.abi-cp38-cp38-linux_x86_64.whl#sha256=fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"}
|
15 |
numpy = "1.26.3"
|
16 |
pandas = "2.2.0"
|
|
|
|
|
|
|
|
|
|
|
17 |
tqdm = "4.66.1"
|
18 |
|
19 |
[tool.poetry.dev-dependencies]
|