Restoring environment*.yml's, adding new dependencies, remove the [cli] option
This commit is contained in:
Justin Guese
@@ -21,9 +21,9 @@ jobs:
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python -m pip install --upgrade pip
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pip install poetry
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# use the hardcoded version number for now. if this is merged to the main repo, you can uncomment these lines to automatically tag the version number with the github run number
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# - name: Set Version number
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# run: |
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# poetry version 0.0.${{ github.run_number }}
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- name: Set Version number
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run: |
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poetry version 0.1.${{ github.run_number }}
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- name: Build and Publish to PyPI
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run: |
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poetry config pypi-token.pypi ${{ secrets.PYPI_API_TOKEN }}
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@@ -0,0 +1,18 @@
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name: tfm_env
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channels:
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- conda-forge
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- defaults
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- anaconda
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dependencies:
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- jupyterlab
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- pip
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- python=3.10
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- pip:
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- huggingface_hub[cli]
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- utilsforecast
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- praxis
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- paxml
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- jax[cuda12]==0.4.26
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- einshape
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- scikit-learn
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@@ -0,0 +1,18 @@
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name: tfm_env
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channels:
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- conda-forge
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- defaults
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- anaconda
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dependencies:
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- jupyterlab
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- pip
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- python=3.10
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- pip:
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- huggingface_hub[cli]
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- utilsforecast
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- praxis
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- paxml
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- jax[cpu]==0.4.26
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- einshape
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- scikit-learn
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Generated
+153
-304
@@ -1267,61 +1267,61 @@ test = ["coverage", "mock (>=4)", "pytest (>=7)", "pytest-cov", "pytest-mock (>=
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[[package]]
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name = "grpcio"
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version = "1.65.0"
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version = "1.64.1"
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description = "HTTP/2-based RPC framework"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "grpcio-1.65.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:66ea0ca6108fcb391444bb7b37d04eac85bfaea1cfaf16db675d3734fc74ca1b"},
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{file = "grpcio-1.65.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:45d371dc4436fdcc31677f75b3ebe6175fbf0712ced49e0e4dfc18bbaf50f5a7"},
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{file = "grpcio-1.65.0-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:02dbbe113ec48581da07b7ddf52bfd49f5772374c4b5e36ea25131ce00b4f4f3"},
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{file = "grpcio-1.65.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5c9ee7b8f1ac82cc24f223cd7ec803c17079f90e63022d3e66c5e53fff0afb99"},
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{file = "grpcio-1.65.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da927f8a44e42837ae0027a3a063c85e2b26491d2babd4554e116f66fd46045d"},
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{file = "grpcio-1.65.0-cp310-cp310-win32.whl", hash = "sha256:1362d94ac9c05b202736180d23296840e00f495859b206261e6ed03a6d41978b"},
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{file = "grpcio-1.65.0-cp310-cp310-win_amd64.whl", hash = "sha256:00ed0828980009ce852d98230cdd2d5a22a4bcb946b5a0f6334dfd8258374cd7"},
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{file = "grpcio-1.65.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:2a2b368717dd8e0f6cb7e412d3b3bfb0012f61c04b2f76dbed669b0f5cf3fb0c"},
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{file = "grpcio-1.65.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:52347f21d6ec77d7e7e4d5037f5e8ac0a0c851856d9459f9f95b009c2c740b4a"},
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{file = "grpcio-1.65.0-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:b16e1cd9b9cb9ac942cb20b7a2b1c5d35b9e61017e2998bf242a6f7748071795"},
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{file = "grpcio-1.65.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:89bc9c8c6743a48f115fea8f3fada76be269d1914bf636e5fdb7cec9cdf192bc"},
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|
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|
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|
||||
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|
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||||
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|
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||||
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||||
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|
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
{file = "grpcio-1.64.1-cp38-cp38-win32.whl", hash = "sha256:1257b76748612aca0f89beec7fa0615727fd6f2a1ad580a9638816a4b2eb18fd"},
|
||||
{file = "grpcio-1.64.1-cp38-cp38-win_amd64.whl", hash = "sha256:0a12ddb1678ebc6a84ec6b0487feac020ee2b1659cbe69b80f06dbffdb249122"},
|
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{file = "grpcio-1.64.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:75dbbf415026d2862192fe1b28d71f209e2fd87079d98470db90bebe57b33179"},
|
||||
{file = "grpcio-1.64.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e3d9f8d1221baa0ced7ec7322a981e28deb23749c76eeeb3d33e18b72935ab62"},
|
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{file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:5f8b75f64d5d324c565b263c67dbe4f0af595635bbdd93bb1a88189fc62ed2e5"},
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{file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c84ad903d0d94311a2b7eea608da163dace97c5fe9412ea311e72c3684925602"},
|
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{file = "grpcio-1.64.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:940e3ec884520155f68a3b712d045e077d61c520a195d1a5932c531f11883489"},
|
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{file = "grpcio-1.64.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:f10193c69fc9d3d726e83bbf0f3d316f1847c3071c8c93d8090cf5f326b14309"},
|
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{file = "grpcio-1.64.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ac15b6c2c80a4d1338b04d42a02d376a53395ddf0ec9ab157cbaf44191f3ffdd"},
|
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{file = "grpcio-1.64.1-cp39-cp39-win32.whl", hash = "sha256:03b43d0ccf99c557ec671c7dede64f023c7da9bb632ac65dbc57f166e4970040"},
|
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{file = "grpcio-1.64.1-cp39-cp39-win_amd64.whl", hash = "sha256:ed6091fa0adcc7e4ff944090cf203a52da35c37a130efa564ded02b7aff63bcd"},
|
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{file = "grpcio-1.64.1.tar.gz", hash = "sha256:8d51dd1c59d5fa0f34266b80a3805ec29a1f26425c2a54736133f6d87fc4968a"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
protobuf = ["grpcio-tools (>=1.65.0)"]
|
||||
protobuf = ["grpcio-tools (>=1.64.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "h11"
|
||||
@@ -1414,18 +1414,19 @@ socks = ["socksio (==1.*)"]
|
||||
|
||||
[[package]]
|
||||
name = "huggingface-hub"
|
||||
version = "0.23.4"
|
||||
version = "0.23.0"
|
||||
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
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{file = "huggingface_hub-0.23.4-py3-none-any.whl", hash = "sha256:3a0b957aa87150addf0cc7bd71b4d954b78e749850e1e7fb29ebbd2db64ca037"},
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{file = "huggingface_hub-0.23.4.tar.gz", hash = "sha256:35d99016433900e44ae7efe1c209164a5a81dbbcd53a52f99c281dcd7ce22431"},
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{file = "huggingface_hub-0.23.0-py3-none-any.whl", hash = "sha256:075c30d48ee7db2bba779190dc526d2c11d422aed6f9044c5e2fdc2c432fdb91"},
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{file = "huggingface_hub-0.23.0.tar.gz", hash = "sha256:7126dedd10a4c6fac796ced4d87a8cf004efc722a5125c2c09299017fa366fa9"},
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]
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|
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[package.dependencies]
|
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filelock = "*"
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||||
fsspec = ">=2023.5.0"
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InquirerPy = {version = "0.3.4", optional = true, markers = "extra == \"cli\""}
|
||||
packaging = ">=20.9"
|
||||
pyyaml = ">=5.1"
|
||||
requests = "*"
|
||||
@@ -1483,6 +1484,24 @@ files = [
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docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
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||||
testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
|
||||
|
||||
[[package]]
|
||||
name = "inquirerpy"
|
||||
version = "0.3.4"
|
||||
description = "Python port of Inquirer.js (A collection of common interactive command-line user interfaces)"
|
||||
optional = false
|
||||
python-versions = ">=3.7,<4.0"
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files = [
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{file = "InquirerPy-0.3.4-py3-none-any.whl", hash = "sha256:c65fdfbac1fa00e3ee4fb10679f4d3ed7a012abf4833910e63c295827fe2a7d4"},
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{file = "InquirerPy-0.3.4.tar.gz", hash = "sha256:89d2ada0111f337483cb41ae31073108b2ec1e618a49d7110b0d7ade89fc197e"},
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]
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|
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[package.dependencies]
|
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pfzy = ">=0.3.1,<0.4.0"
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||||
prompt-toolkit = ">=3.0.1,<4.0.0"
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|
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[package.extras]
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docs = ["Sphinx (>=4.1.2,<5.0.0)", "furo (>=2021.8.17-beta.43,<2022.0.0)", "myst-parser (>=0.15.1,<0.16.0)", "sphinx-autobuild (>=2021.3.14,<2022.0.0)", "sphinx-copybutton (>=0.4.0,<0.5.0)"]
|
||||
|
||||
[[package]]
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||||
name = "ipykernel"
|
||||
version = "6.29.5"
|
||||
@@ -1601,20 +1620,8 @@ files = [
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||||
]
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[package.dependencies]
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||||
jax-cuda12-plugin = {version = "0.4.26", optional = true, markers = "extra == \"cuda12\""}
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||||
jaxlib = {version = "0.4.26", optional = true, markers = "extra == \"cuda12\""}
|
||||
ml-dtypes = ">=0.2.0"
|
||||
numpy = ">=1.22"
|
||||
nvidia-cublas-cu12 = {version = ">=12.1.3.1", optional = true, markers = "extra == \"cuda12\""}
|
||||
nvidia-cuda-cupti-cu12 = {version = ">=12.1.105", optional = true, markers = "extra == \"cuda12\""}
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||||
nvidia-cuda-nvcc-cu12 = {version = ">=12.1.105", optional = true, markers = "extra == \"cuda12\""}
|
||||
nvidia-cuda-runtime-cu12 = {version = ">=12.1.105", optional = true, markers = "extra == \"cuda12\""}
|
||||
nvidia-cudnn-cu12 = {version = ">=8.9.2.26,<9.0", optional = true, markers = "extra == \"cuda12\""}
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||||
nvidia-cufft-cu12 = {version = ">=11.0.2.54", optional = true, markers = "extra == \"cuda12\""}
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||||
nvidia-cusolver-cu12 = {version = ">=11.4.5.107", optional = true, markers = "extra == \"cuda12\""}
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||||
nvidia-cusparse-cu12 = {version = ">=12.1.0.106", optional = true, markers = "extra == \"cuda12\""}
|
||||
nvidia-nccl-cu12 = {version = ">=2.18.1", optional = true, markers = "extra == \"cuda12\""}
|
||||
nvidia-nvjitlink-cu12 = {version = ">=12.1.105", optional = true, markers = "extra == \"cuda12\""}
|
||||
opt-einsum = "*"
|
||||
scipy = ">=1.9"
|
||||
|
||||
@@ -1641,32 +1648,6 @@ files = [
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{file = "jax_bitempered_loss-0.0.2-py3-none-any.whl", hash = "sha256:480c8b80abcb00883b001fbdd6f3f70b27681bd5e204fba6669818c0f9a326f1"},
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "jax-cuda12-pjrt"
|
||||
version = "0.4.26"
|
||||
description = "JAX XLA PJRT Plugin for NVIDIA GPUs"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "jax_cuda12_pjrt-0.4.26-py3-none-manylinux2014_x86_64.whl", hash = "sha256:05e4cca6bc0159ea931a560481b573f4cfbaa700e4e0db8f9a851ffc8e60f450"},
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]
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||||
|
||||
[[package]]
|
||||
name = "jax-cuda12-plugin"
|
||||
version = "0.4.26"
|
||||
description = "JAX Plugin for NVIDIA GPUs"
|
||||
optional = false
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||||
python-versions = ">=3.9"
|
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files = [
|
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{file = "jax_cuda12_plugin-0.4.26-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:50c958cea070dc9598d4bc4b514c674b6e08123fc70ffeeb3dac0fbed9270322"},
|
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{file = "jax_cuda12_plugin-0.4.26-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:9a857dd23758a06630355d616388e1b74fc8083e55f14473555422ead65ba3c4"},
|
||||
{file = "jax_cuda12_plugin-0.4.26-cp312-cp312-manylinux2014_x86_64.whl", hash = "sha256:7bf1c1044f72c6ad80cb4347bf3c959b1b409fba21e669a1fe3ae4b58c19a6ba"},
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||||
{file = "jax_cuda12_plugin-0.4.26-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:79d4fd24b817d507cc6c0c14e88f483038335ef024202a29eb3dd6df583741bc"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
jax-cuda12-pjrt = "0.4.26"
|
||||
|
||||
[[package]]
|
||||
name = "jaxlib"
|
||||
version = "0.4.26"
|
||||
@@ -2258,7 +2239,6 @@ description = "Clang Python Bindings, mirrored from the official LLVM repo: http
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
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{file = "libclang-18.1.1-1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:0b2e143f0fac830156feb56f9231ff8338c20aecfe72b4ffe96f19e5a1dbb69a"},
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{file = "libclang-18.1.1-py2.py3-none-manylinux2010_x86_64.whl", hash = "sha256:c533091d8a3bbf7460a00cb6c1a71da93bffe148f172c7d03b1c31fbf8aa2a0b"},
|
||||
@@ -3061,141 +3041,6 @@ files = [
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||||
{file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cublas-cu12"
|
||||
version = "12.5.3.2"
|
||||
description = "CUBLAS native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cublas_cu12-12.5.3.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ca070ad70e9fa6654084575d01bd001f30cc4665e33d4bb9fc8e0f321caa034b"},
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||||
{file = "nvidia_cublas_cu12-12.5.3.2-py3-none-win_amd64.whl", hash = "sha256:4960f3dc5f39699acadf76fa6d94b10a2a00f2956c2c442efa299fb22b0748f3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-cupti-cu12"
|
||||
version = "12.5.82"
|
||||
description = "CUDA profiling tools runtime libs."
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cuda_cupti_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl", hash = "sha256:bde77a5feb66752ec61db2adfe47f56b941842825b4c7e2068aff27c9d107953"},
|
||||
{file = "nvidia_cuda_cupti_cu12-12.5.82-py3-none-win_amd64.whl", hash = "sha256:4f835281cf492e2bedd153f5c3de9da8f1d775a419468305e64ce73b3b0c6dc3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-nvcc-cu12"
|
||||
version = "12.5.82"
|
||||
description = "CUDA nvcc"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cuda_nvcc_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl", hash = "sha256:b03e545b8e8c3ce7ebcd7fc44063180ff52ff01d064ece2127ed90a04ef12cd0"},
|
||||
{file = "nvidia_cuda_nvcc_cu12-12.5.82-py3-none-win_amd64.whl", hash = "sha256:6eaa264da57a893ae7606dd80b169d9783444af941697822cb82c8379ffc4957"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-nvrtc-cu12"
|
||||
version = "12.5.82"
|
||||
description = "NVRTC native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cuda_nvrtc_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl", hash = "sha256:3dbd97b0104b4bfbc3c4f8c79cd2496307c89c43c29a9f83125f1d76296ff3fd"},
|
||||
{file = "nvidia_cuda_nvrtc_cu12-12.5.82-py3-none-win_amd64.whl", hash = "sha256:e5db37e990056c70953b7772dd778336ef9da0a0b5bb28f9f2a61c2e42b51d78"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-runtime-cu12"
|
||||
version = "12.5.82"
|
||||
description = "CUDA Runtime native Libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cuda_runtime_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl", hash = "sha256:3e79a060e126df40fd3a068f3f787eb000fa51b251ec6cd97d09579632687115"},
|
||||
{file = "nvidia_cuda_runtime_cu12-12.5.82-py3-none-win_amd64.whl", hash = "sha256:0fd5fbca289bceb9f0690aa9858f06187b554fdeb7e2711dfd5bb3ce58900b46"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cudnn-cu12"
|
||||
version = "8.9.7.29"
|
||||
description = "cuDNN runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cudnn_cu12-8.9.7.29-py3-none-manylinux1_x86_64.whl", hash = "sha256:adf4f59ed7a1341103822ed8df6e144f4d47ea8b10d9bf0ea0047ba738fd7b02"},
|
||||
{file = "nvidia_cudnn_cu12-8.9.7.29-py3-none-win_amd64.whl", hash = "sha256:4447321a2bdc8bd965084c1824575eb04f47a03ab62bbeb6cce7e9f74c3657f3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
nvidia-cublas-cu12 = "*"
|
||||
nvidia-cuda-nvrtc-cu12 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cufft-cu12"
|
||||
version = "11.2.3.61"
|
||||
description = "CUFFT native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cufft_cu12-11.2.3.61-py3-none-manylinux2014_x86_64.whl", hash = "sha256:9a6e8df162585750f61983a638104a48c756aa13f9f48e19ab079b38e3c828b8"},
|
||||
{file = "nvidia_cufft_cu12-11.2.3.61-py3-none-win_amd64.whl", hash = "sha256:4a8f6f0ce93c52a50ee83422a80472b5f376054a63f38532d0eab4007e7ef28b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
nvidia-nvjitlink-cu12 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cusolver-cu12"
|
||||
version = "11.6.3.83"
|
||||
description = "CUDA solver native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cusolver_cu12-11.6.3.83-py3-none-manylinux2014_x86_64.whl", hash = "sha256:93cfafacde4428b71778eeb092ec615a02a3d05404da1bcf91c53e3fa1bce42b"},
|
||||
{file = "nvidia_cusolver_cu12-11.6.3.83-py3-none-win_amd64.whl", hash = "sha256:6224732963cba312a84c78114b9a38c4ffabb2e2a6a120923ac99ba6f895c8cf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
nvidia-cublas-cu12 = "*"
|
||||
nvidia-cusparse-cu12 = "*"
|
||||
nvidia-nvjitlink-cu12 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cusparse-cu12"
|
||||
version = "12.5.1.3"
|
||||
description = "CUSPARSE native runtime libraries"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_cusparse_cu12-12.5.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:016df8e993c437e8301e62739f01775cba988fd5253cd4c64173f8e8d2f8e752"},
|
||||
{file = "nvidia_cusparse_cu12-12.5.1.3-py3-none-win_amd64.whl", hash = "sha256:33520db374e2f5ebc976d6faa1852b98c398a57e6f71150fe59705928596ffd1"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
nvidia-nvjitlink-cu12 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nccl-cu12"
|
||||
version = "2.22.3"
|
||||
description = "NVIDIA Collective Communication Library (NCCL) Runtime"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
|
||||
{file = "nvidia_nccl_cu12-2.22.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f9f5e03c00269dee2cd1aa57019f9a024478a74ae6e9b32d5341c849fe6f6302"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nvjitlink-cu12"
|
||||
version = "12.5.82"
|
||||
description = "Nvidia JIT LTO Library"
|
||||
optional = false
|
||||
python-versions = ">=3"
|
||||
files = [
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python-dateutil = ">=2.8.2"
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[package.extras]
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xml = ["lxml (>=4.8.0)"]
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[[package]]
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@@ -3458,6 +3298,20 @@ files = [
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[package.dependencies]
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||||
ptyprocess = ">=0.5"
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||||
|
||||
[[package]]
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||||
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||||
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||||
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||||
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|
||||
{file = "pfzy-0.3.4.tar.gz", hash = "sha256:717ea765dd10b63618e7298b2d98efd819e0b30cd5905c9707223dceeb94b3f1"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["Sphinx (>=4.1.2,<5.0.0)", "furo (>=2021.8.17-beta.43,<2022.0.0)", "myst-parser (>=0.15.1,<0.16.0)", "sphinx-autobuild (>=2021.3.14,<2022.0.0)", "sphinx-copybutton (>=0.4.0,<0.5.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "pillow"
|
||||
version = "10.4.0"
|
||||
@@ -5571,19 +5425,19 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.42.4"
|
||||
version = "4.41.2"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "transformers-4.42.4-py3-none-any.whl", hash = "sha256:6d59061392d0f1da312af29c962df9017ff3c0108c681a56d1bc981004d16d24"},
|
||||
{file = "transformers-4.42.4.tar.gz", hash = "sha256:f956e25e24df851f650cb2c158b6f4352dfae9d702f04c113ed24fc36ce7ae2d"},
|
||||
{file = "transformers-4.41.2-py3-none-any.whl", hash = "sha256:05555d20e43f808de1ef211ab64803cdb513170cef70d29a888b589caebefc67"},
|
||||
{file = "transformers-4.41.2.tar.gz", hash = "sha256:80a4db216533d573e9cc7388646c31ed9480918feb7c55eb211249cb23567f87"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
huggingface-hub = ">=0.23.2,<1.0"
|
||||
numpy = ">=1.17,<2.0"
|
||||
huggingface-hub = ">=0.23.0,<1.0"
|
||||
numpy = ">=1.17"
|
||||
packaging = ">=20.0"
|
||||
pyyaml = ">=5.1"
|
||||
regex = "!=2019.12.17"
|
||||
@@ -5595,15 +5449,14 @@ tqdm = ">=4.27"
|
||||
[package.extras]
|
||||
accelerate = ["accelerate (>=0.21.0)"]
|
||||
agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
|
||||
all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"]
|
||||
all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"]
|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
benchmark = ["optimum-benchmark (>=0.2.0)"]
|
||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
|
||||
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
ftfy = ["ftfy"]
|
||||
@@ -5614,26 +5467,25 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
|
||||
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
||||
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
||||
optuna = ["optuna"]
|
||||
quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.4.4)", "urllib3 (<2.0.0)"]
|
||||
quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<2.0.0)"]
|
||||
ray = ["ray[tune] (>=2.7.0)"]
|
||||
retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
|
||||
ruff = ["ruff (==0.4.4)"]
|
||||
sagemaker = ["sagemaker (>=2.31.0)"]
|
||||
sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
|
||||
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
|
||||
sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
timm = ["timm (<=0.9.16)"]
|
||||
timm = ["timm"]
|
||||
tokenizers = ["tokenizers (>=0.19,<0.20)"]
|
||||
torch = ["accelerate (>=0.21.0)", "torch"]
|
||||
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17,<2.0)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.23.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
|
||||
video = ["av (==9.2.0)", "decord (==0.6.0)"]
|
||||
vision = ["Pillow (>=10.0.1,<=15.0)"]
|
||||
|
||||
@@ -5718,13 +5570,13 @@ zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "utilsforecast"
|
||||
version = "0.1.12"
|
||||
version = "0.1.10"
|
||||
description = "Forecasting utilities"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "utilsforecast-0.1.12-py3-none-any.whl", hash = "sha256:728de990034b1fc27fe45be268e15154aa7bf32b62ab065646e11c4066da5e22"},
|
||||
{file = "utilsforecast-0.1.12.tar.gz", hash = "sha256:04f065158b70a343d60e197dc7973f24a22b82254a1b660e3f9b950d08e611ff"},
|
||||
{file = "utilsforecast-0.1.10-py3-none-any.whl", hash = "sha256:186cad81be70466a883a18c284ac1697118af6d896af1c0ab32fb4b124df7194"},
|
||||
{file = "utilsforecast-0.1.10.tar.gz", hash = "sha256:0f19ba507dcc642af190968268ea5407d31b7cfa7e4b9d81f9e9344c96069834"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -5733,9 +5585,9 @@ packaging = "*"
|
||||
pandas = ">=1.1.1"
|
||||
|
||||
[package.extras]
|
||||
dev = ["datasetsforecast (==0.0.8)", "nbdev", "numba", "numpy (<2)", "pandas[plot]", "plotly", "plotly-resampler", "polars", "pyarrow", "scipy"]
|
||||
dev = ["datasetsforecast (==0.0.8)", "nbdev", "numba", "pandas[plot]", "plotly", "plotly-resampler", "polars", "pyarrow", "scipy"]
|
||||
plotting = ["pandas[plot]", "plotly", "plotly-resampler"]
|
||||
polars = ["numpy (<2)", "polars"]
|
||||
polars = ["polars"]
|
||||
scalers = ["numba", "scipy"]
|
||||
|
||||
[[package]]
|
||||
@@ -5927,10 +5779,7 @@ files = [
|
||||
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
|
||||
test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
|
||||
|
||||
[extras]
|
||||
cpu = ["Jax", "jax"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<3.11"
|
||||
content-hash = "d792f3687131f21fc4929daa27c412fa6657b7c329ce3df5a6b92c3dbbc07b9f"
|
||||
content-hash = "5af00562d4d4673c273707e744e7cb7ab12b7cbb003233b5d434bc9aeafb4538"
|
||||
|
||||
+9
-12
@@ -30,19 +30,16 @@ include = [
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.10,<3.11"
|
||||
einshape = ">=1.0.0"
|
||||
numpy = ">=1.26.4"
|
||||
pandas = ">=2.1.4"
|
||||
einshape = "1.0.0"
|
||||
numpy = "1.26.4"
|
||||
pandas = "2.1.4"
|
||||
paxml = "1.4.0"
|
||||
utilsforecast = "^0.1.10"
|
||||
jax = {version = "0.4.26", extras = ["cuda12"]}
|
||||
# unfortunately we have to solve it using https://stackoverflow.com/questions/72037181/how-to-add-optional-dependencies-of-a-library-as-extra-in-poetry-and-pyproject
|
||||
Jax = {version = "0.4.26", extras = ["cpu"], optional = true}
|
||||
|
||||
[tool.poetry.extras]
|
||||
cpu = ['Jax']
|
||||
|
||||
utilsforecast = "0.1.10"
|
||||
jax = "0.4.26"
|
||||
jaxlib = "0.4.26"
|
||||
huggingface_hub = {version = "0.23.0", extras = ["cli"]}
|
||||
scikit-learn = "1.5.1"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
Reference in New Issue
Block a user