Rajat Sen
6551 lines
502 KiB
TOML
6551 lines
502 KiB
TOML
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[[package]]
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name = "charset-normalizer"
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version = "3.4.0"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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docs = ["etils[all,dev]", "sphinx-apitree[ext]"]
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edc = ["etils[epy]"]
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enp = ["etils[epy]", "numpy"]
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dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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|
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
|
|
hf-transfer = ["hf-transfer (>=0.1.4)"]
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|
inference = ["aiohttp"]
|
|
quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
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|
tensorflow = ["graphviz", "pydot", "tensorflow"]
|
|
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
|
|
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
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|
torch = ["safetensors[torch]", "torch"]
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typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
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[[package]]
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name = "idna"
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version = "3.10"
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description = "Internationalized Domain Names in Applications (IDNA)"
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|
optional = false
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python-versions = ">=3.6"
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files = [
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{file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
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{file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
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[package.extras]
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all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
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[[package]]
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name = "immutabledict"
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version = "4.2.0"
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description = "Immutable wrapper around dictionaries (a fork of frozendict)"
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|
optional = false
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python-versions = ">=3.8,<4.0"
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files = [
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{file = "immutabledict-4.2.0-py3-none-any.whl", hash = "sha256:d728b2c2410d698d95e6200237feb50a695584d20289ad3379a439aa3d90baba"},
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{file = "immutabledict-4.2.0.tar.gz", hash = "sha256:e003fd81aad2377a5a758bf7e1086cf3b70b63e9a5cc2f46bce8d0a2b4727c5f"},
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]
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[[package]]
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name = "importlib-resources"
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version = "6.4.5"
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description = "Read resources from Python packages"
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|
optional = false
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python-versions = ">=3.8"
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files = [
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{file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
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]
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[package.extras]
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check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
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cover = ["pytest-cov"]
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|
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
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enabler = ["pytest-enabler (>=2.2)"]
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test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
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|
type = ["pytest-mypy"]
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|
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[[package]]
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|
name = "iniconfig"
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|
version = "2.0.0"
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|
description = "brain-dead simple config-ini parsing"
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|
optional = false
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python-versions = ">=3.7"
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files = [
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{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
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{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
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]
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[[package]]
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|
name = "inquirerpy"
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|
version = "0.3.4"
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|
description = "Python port of Inquirer.js (A collection of common interactive command-line user interfaces)"
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|
optional = false
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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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[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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[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)"]
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[[package]]
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name = "ipykernel"
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version = "6.29.5"
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description = "IPython Kernel for Jupyter"
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|
optional = false
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python-versions = ">=3.8"
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files = [
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{file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"},
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{file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"},
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]
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[package.dependencies]
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appnope = {version = "*", markers = "platform_system == \"Darwin\""}
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comm = ">=0.1.1"
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debugpy = ">=1.6.5"
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ipython = ">=7.23.1"
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jupyter-client = ">=6.1.12"
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jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
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matplotlib-inline = ">=0.1"
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nest-asyncio = "*"
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packaging = "*"
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psutil = "*"
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pyzmq = ">=24"
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tornado = ">=6.1"
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traitlets = ">=5.4.0"
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[package.extras]
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cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
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docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
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pyqt5 = ["pyqt5"]
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pyside6 = ["pyside6"]
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test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"]
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[[package]]
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name = "ipython"
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version = "8.29.0"
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description = "IPython: Productive Interactive Computing"
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optional = false
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python-versions = ">=3.10"
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files = [
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{file = "ipython-8.29.0-py3-none-any.whl", hash = "sha256:0188a1bd83267192123ccea7f4a8ed0a78910535dbaa3f37671dca76ebd429c8"},
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{file = "ipython-8.29.0.tar.gz", hash = "sha256:40b60e15b22591450eef73e40a027cf77bd652e757523eebc5bd7c7c498290eb"},
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[package.dependencies]
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colorama = {version = "*", markers = "sys_platform == \"win32\""}
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decorator = "*"
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exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
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jedi = ">=0.16"
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matplotlib-inline = "*"
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pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
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prompt-toolkit = ">=3.0.41,<3.1.0"
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pygments = ">=2.4.0"
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stack-data = "*"
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traitlets = ">=5.13.0"
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typing-extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
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[package.extras]
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all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
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|
black = ["black"]
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|
doc = ["docrepr", "exceptiongroup", "intersphinx-registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing-extensions"]
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kernel = ["ipykernel"]
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matplotlib = ["matplotlib"]
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nbconvert = ["nbconvert"]
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|
nbformat = ["nbformat"]
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notebook = ["ipywidgets", "notebook"]
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|
parallel = ["ipyparallel"]
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|
qtconsole = ["qtconsole"]
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test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
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test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
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|
|
|
[[package]]
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|
name = "ipywidgets"
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version = "8.1.5"
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|
description = "Jupyter interactive widgets"
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|
optional = false
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python-versions = ">=3.7"
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files = [
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{file = "ipywidgets-8.1.5.tar.gz", hash = "sha256:870e43b1a35656a80c18c9503bbf2d16802db1cb487eec6fab27d683381dde17"},
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[package.dependencies]
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comm = ">=0.1.3"
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ipython = ">=6.1.0"
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jupyterlab-widgets = ">=3.0.12,<3.1.0"
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traitlets = ">=4.3.1"
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widgetsnbextension = ">=4.0.12,<4.1.0"
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|
|
[package.extras]
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test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
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|
|
|
[[package]]
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|
name = "isoduration"
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|
version = "20.11.0"
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|
description = "Operations with ISO 8601 durations"
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|
optional = false
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|
python-versions = ">=3.7"
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files = [
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{file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"},
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{file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"},
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[package.dependencies]
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arrow = ">=0.15.0"
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[[package]]
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|
name = "jax"
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|
version = "0.4.26"
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|
description = "Differentiate, compile, and transform Numpy code."
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|
optional = false
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python-versions = ">=3.9"
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files = [
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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\""}
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ml-dtypes = ">=0.2.0"
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numpy = [
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{version = ">=1.22", markers = "python_version < \"3.11\""},
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{version = ">=1.23.2", markers = "python_version >= \"3.11\""},
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]
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nvidia-cublas-cu12 = {version = ">=12.1.3.1", optional = true, markers = "extra == \"cuda12\""}
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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\""}
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nvidia-cuda-runtime-cu12 = {version = ">=12.1.105", optional = true, markers = "extra == \"cuda12\""}
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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\""}
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nvidia-nccl-cu12 = {version = ">=2.18.1", optional = true, markers = "extra == \"cuda12\""}
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nvidia-nvjitlink-cu12 = {version = ">=12.1.105", optional = true, markers = "extra == \"cuda12\""}
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opt-einsum = "*"
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|
scipy = ">=1.9"
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|
|
[package.extras]
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australis = ["protobuf (>=3.13,<4)"]
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ci = ["jaxlib (==0.4.25)"]
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|
cpu = ["jaxlib (==0.4.26)"]
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|
cuda = ["jaxlib (==0.4.26+cuda12.cudnn89)"]
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|
cuda12 = ["jax-cuda12-plugin (==0.4.26)", "jaxlib (==0.4.26)", "nvidia-cublas-cu12 (>=12.1.3.1)", "nvidia-cuda-cupti-cu12 (>=12.1.105)", "nvidia-cuda-nvcc-cu12 (>=12.1.105)", "nvidia-cuda-runtime-cu12 (>=12.1.105)", "nvidia-cudnn-cu12 (>=8.9.2.26,<9.0)", "nvidia-cufft-cu12 (>=11.0.2.54)", "nvidia-cusolver-cu12 (>=11.4.5.107)", "nvidia-cusparse-cu12 (>=12.1.0.106)", "nvidia-nccl-cu12 (>=2.18.1)", "nvidia-nvjitlink-cu12 (>=12.1.105)"]
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|
cuda12-cudnn89 = ["jaxlib (==0.4.26+cuda12.cudnn89)"]
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|
cuda12-local = ["jaxlib (==0.4.26+cuda12.cudnn89)"]
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|
cuda12-pip = ["jaxlib (==0.4.26+cuda12.cudnn89)", "nvidia-cublas-cu12 (>=12.1.3.1)", "nvidia-cuda-cupti-cu12 (>=12.1.105)", "nvidia-cuda-nvcc-cu12 (>=12.1.105)", "nvidia-cuda-runtime-cu12 (>=12.1.105)", "nvidia-cudnn-cu12 (>=8.9.2.26,<9.0)", "nvidia-cufft-cu12 (>=11.0.2.54)", "nvidia-cusolver-cu12 (>=11.4.5.107)", "nvidia-cusparse-cu12 (>=12.1.0.106)", "nvidia-nccl-cu12 (>=2.18.1)", "nvidia-nvjitlink-cu12 (>=12.1.105)"]
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|
minimum-jaxlib = ["jaxlib (==0.4.20)"]
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|
tpu = ["jaxlib (==0.4.26)", "libtpu-nightly (==0.1.dev20240403)", "requests"]
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|
|
|
[[package]]
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|
name = "jax-bitempered-loss"
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|
version = "0.0.2"
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|
description = "BiTempered Loss for training under noisy labels."
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|
optional = false
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python-versions = ">=3.6"
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files = [
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[[package]]
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name = "jax-cuda12-pjrt"
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version = "0.4.26"
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description = "JAX XLA PJRT Plugin for NVIDIA GPUs"
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|
optional = false
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python-versions = "*"
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files = [
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[[package]]
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name = "jax-cuda12-plugin"
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version = "0.4.26"
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description = "JAX Plugin for NVIDIA GPUs"
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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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[package.dependencies]
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jax-cuda12-pjrt = "0.4.26"
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|
[[package]]
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|
name = "jaxlib"
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version = "0.4.26"
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description = "XLA library for JAX"
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python-versions = ">=3.9"
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optional = false
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example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=1.9)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
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description = "Natural Language Toolkit"
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tgrep = ["pyparsing"]
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[package.extras]
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nvidia-cusparse-cu12 = "*"
|
|
nvidia-nvjitlink-cu12 = "*"
|
|
|
|
[[package]]
|
|
name = "nvidia-cusparse-cu12"
|
|
version = "12.5.4.2"
|
|
description = "CUSPARSE native runtime libraries"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1"},
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{file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:23749a6571191a215cb74d1cdbff4a86e7b19f1200c071b3fcf844a5bea23a2f"},
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{file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-win_amd64.whl", hash = "sha256:4acb8c08855a26d737398cba8fb6f8f5045d93f82612b4cfd84645a2332ccf20"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
nvidia-nvjitlink-cu12 = "*"
|
|
|
|
[[package]]
|
|
name = "nvidia-nccl-cu12"
|
|
version = "2.23.4"
|
|
description = "NVIDIA Collective Communication Library (NCCL) Runtime"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_nccl_cu12-2.23.4-py3-none-manylinux2014_aarch64.whl", hash = "sha256:aa946c8327e22ced28e7cef508a334673abc42064ec85f02d005ba1785ea4cec"},
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|
{file = "nvidia_nccl_cu12-2.23.4-py3-none-manylinux2014_x86_64.whl", hash = "sha256:b097258d9aab2fa9f686e33c6fe40ae57b27df60cedbd15d139701bb5509e0c1"},
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|
]
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|
|
|
[[package]]
|
|
name = "nvidia-nvjitlink-cu12"
|
|
version = "12.6.77"
|
|
description = "Nvidia JIT LTO Library"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_nvjitlink_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:3bf10d85bb1801e9c894c6e197e44dd137d2a0a9e43f8450e9ad13f2df0dd52d"},
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{file = "nvidia_nvjitlink_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:9ae346d16203ae4ea513be416495167a0101d33d2d14935aa9c1829a3fb45142"},
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{file = "nvidia_nvjitlink_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:410718cd44962bed862a31dd0318620f6f9a8b28a6291967bcfcb446a6516771"},
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|
]
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|
|
[[package]]
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|
name = "oauthlib"
|
|
version = "3.2.2"
|
|
description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
|
|
optional = false
|
|
python-versions = ">=3.6"
|
|
files = [
|
|
{file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
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{file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
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|
]
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|
|
|
[package.extras]
|
|
rsa = ["cryptography (>=3.0.0)"]
|
|
signals = ["blinker (>=1.4.0)"]
|
|
signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
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|
|
|
[[package]]
|
|
name = "opt-einsum"
|
|
version = "3.3.0"
|
|
description = "Optimizing numpys einsum function"
|
|
optional = false
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|
python-versions = ">=3.5"
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|
files = [
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{file = "opt_einsum-3.3.0-py3-none-any.whl", hash = "sha256:2455e59e3947d3c275477df7f5205b30635e266fe6dc300e3d9f9646bfcea147"},
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{file = "opt_einsum-3.3.0.tar.gz", hash = "sha256:59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549"},
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]
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|
[package.dependencies]
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|
numpy = ">=1.7"
|
|
|
|
[package.extras]
|
|
docs = ["numpydoc", "sphinx (==1.2.3)", "sphinx-rtd-theme", "sphinxcontrib-napoleon"]
|
|
tests = ["pytest", "pytest-cov", "pytest-pep8"]
|
|
|
|
[[package]]
|
|
name = "optax"
|
|
version = "0.2.2"
|
|
description = "A gradient processing and optimisation library in JAX."
|
|
optional = false
|
|
python-versions = ">=3.9"
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|
files = [
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|
{file = "optax-0.2.2-py3-none-any.whl", hash = "sha256:411c414a76aae259f4191a60b712663968741a5163ca92fc250b5d5c7d36fb57"},
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{file = "optax-0.2.2.tar.gz", hash = "sha256:f09bf790ef4b09fb9c35f79a07594c6196a719919985f542dc84b0bf97812e0e"},
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]
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|
[package.dependencies]
|
|
absl-py = ">=0.7.1"
|
|
chex = ">=0.1.86"
|
|
jax = ">=0.1.55"
|
|
jaxlib = ">=0.1.37"
|
|
numpy = ">=1.18.0"
|
|
|
|
[package.extras]
|
|
docs = ["flax", "ipython (>=8.8.0)", "matplotlib (>=3.5.0)", "myst-nb (>=1.0.0)", "sphinx (>=6.0.0)", "sphinx-autodoc-typehints", "sphinx-book-theme (>=1.0.1)", "sphinx-collections (>=0.0.1)", "sphinx-gallery (>=0.14.0)", "sphinx_contributors", "sphinxcontrib-katex", "tensorflow (>=2.4.0)", "tensorflow-datasets (>=4.2.0)"]
|
|
dp-accounting = ["absl-py (>=1.0.0)", "attrs (>=21.4.0)", "mpmath (>=1.2.1)", "numpy (>=1.21.4)", "scipy (>=1.7.1)"]
|
|
examples = ["dp_accounting (>=0.4)", "flax", "tensorflow (>=2.4.0)", "tensorflow-datasets (>=4.2.0)"]
|
|
test = ["dm-tree (>=0.1.7)", "flax (>=0.5.3)"]
|
|
|
|
[[package]]
|
|
name = "optax-shampoo"
|
|
version = "0.0.6"
|
|
description = "Distributed Shampoo (Second order Optimizer for Deep Learning) Optax Optimizer"
|
|
optional = false
|
|
python-versions = ">=3.6"
|
|
files = [
|
|
{file = "optax_shampoo-0.0.6-py3-none-any.whl", hash = "sha256:935bf236149365e6afbaef5de2384008c78cb5a7d2ac74b0c75181fadf14c6aa"},
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{file = "optax_shampoo-0.0.6.tar.gz", hash = "sha256:0aa9ae859c7be2f29cc3e260931bf7c9560c4357a1fd3675478b20c6d099e3bb"},
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|
]
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|
|
|
[[package]]
|
|
name = "orbax-checkpoint"
|
|
version = "0.5.9"
|
|
description = "Orbax Checkpoint"
|
|
optional = false
|
|
python-versions = ">=3.9"
|
|
files = [
|
|
{file = "orbax_checkpoint-0.5.9-py3-none-any.whl", hash = "sha256:75ccc929122a0511c3e1b5233233f26f2c7fbd1d0734459cf6cf9972447cf2cf"},
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{file = "orbax_checkpoint-0.5.9.tar.gz", hash = "sha256:1fde8891433723157bf6e75d341094d1dabed1dbcfc7cfcfb381de088b468b60"},
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]
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|
|
|
[package.dependencies]
|
|
absl-py = "*"
|
|
etils = {version = "*", extras = ["epath", "epy"]}
|
|
jax = ">=0.4.9"
|
|
jaxlib = "*"
|
|
msgpack = "*"
|
|
nest_asyncio = "*"
|
|
numpy = "*"
|
|
protobuf = "*"
|
|
pyyaml = "*"
|
|
tensorstore = ">=0.1.51"
|
|
typing_extensions = "*"
|
|
|
|
[package.extras]
|
|
testing = ["flax", "pytest", "pytest-xdist"]
|
|
|
|
[[package]]
|
|
name = "overrides"
|
|
version = "7.7.0"
|
|
description = "A decorator to automatically detect mismatch when overriding a method."
|
|
optional = false
|
|
python-versions = ">=3.6"
|
|
files = [
|
|
{file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
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{file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"},
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|
]
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|
|
|
[[package]]
|
|
name = "packaging"
|
|
version = "24.1"
|
|
description = "Core utilities for Python packages"
|
|
optional = false
|
|
python-versions = ">=3.8"
|
|
files = [
|
|
{file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
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{file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
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|
]
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|
|
|
[[package]]
|
|
name = "pandas"
|
|
version = "2.2.3"
|
|
description = "Powerful data structures for data analysis, time series, and statistics"
|
|
optional = false
|
|
python-versions = ">=3.9"
|
|
files = [
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|
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]
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[package.dependencies]
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|
numpy = [
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|
{version = ">=1.22.4", markers = "python_version < \"3.11\""},
|
|
{version = ">=1.23.2", markers = "python_version == \"3.11\""},
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]
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|
python-dateutil = ">=2.8.2"
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|
pytz = ">=2020.1"
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|
tzdata = ">=2022.7"
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|
[package.extras]
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asyncpg = ["asyncpg (>=0.23)"]
|
|
beam = ["apache-beam (>=2.12)"]
|
|
bottle = ["bottle (>=0.12.13)"]
|
|
celery = ["celery (>=3)"]
|
|
celery-redbeat = ["celery-redbeat (>=2)"]
|
|
chalice = ["chalice (>=1.16.0)"]
|
|
clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
|
|
django = ["django (>=1.8)"]
|
|
falcon = ["falcon (>=1.4)"]
|
|
fastapi = ["fastapi (>=0.79.0)"]
|
|
flask = ["blinker (>=1.1)", "flask (>=0.11)", "markupsafe"]
|
|
grpcio = ["grpcio (>=1.21.1)", "protobuf (>=3.8.0)"]
|
|
http2 = ["httpcore[http2] (==1.*)"]
|
|
httpx = ["httpx (>=0.16.0)"]
|
|
huey = ["huey (>=2)"]
|
|
huggingface-hub = ["huggingface-hub (>=0.22)"]
|
|
langchain = ["langchain (>=0.0.210)"]
|
|
launchdarkly = ["launchdarkly-server-sdk (>=9.8.0)"]
|
|
litestar = ["litestar (>=2.0.0)"]
|
|
loguru = ["loguru (>=0.5)"]
|
|
openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"]
|
|
openfeature = ["openfeature-sdk (>=0.7.1)"]
|
|
opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
|
|
opentelemetry-experimental = ["opentelemetry-distro"]
|
|
pure-eval = ["asttokens", "executing", "pure-eval"]
|
|
pymongo = ["pymongo (>=3.1)"]
|
|
pyspark = ["pyspark (>=2.4.4)"]
|
|
quart = ["blinker (>=1.1)", "quart (>=0.16.1)"]
|
|
rq = ["rq (>=0.6)"]
|
|
sanic = ["sanic (>=0.8)"]
|
|
sqlalchemy = ["sqlalchemy (>=1.2)"]
|
|
starlette = ["starlette (>=0.19.1)"]
|
|
starlite = ["starlite (>=1.48)"]
|
|
tornado = ["tornado (>=6)"]
|
|
|
|
[[package]]
|
|
name = "seqio-nightly"
|
|
version = "0.0.17.dev20231010"
|
|
description = "SeqIO: Task-based datasets, preprocessing, and evaluation for sequence models."
|
|
optional = false
|
|
python-versions = "*"
|
|
files = [
|
|
{file = "seqio-nightly-0.0.17.dev20231010.tar.gz", hash = "sha256:9d2951b09f7139037717be2934161a66b105970dc6aa0733808395c3e4b1e2f7"},
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{file = "seqio_nightly-0.0.17.dev20231010-py3-none-any.whl", hash = "sha256:0c051fbf086110c0d0f79585688c0c7f1c6668d7401f1cb329ae627cdb0a9c37"},
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|
]
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|
[package.dependencies]
|
|
absl-py = "*"
|
|
clu = "*"
|
|
editdistance = "*"
|
|
jax = "*"
|
|
jaxlib = "*"
|
|
numpy = "*"
|
|
packaging = "*"
|
|
protobuf = "<=3.20.3"
|
|
pyglove = "*"
|
|
sentencepiece = "*"
|
|
tensorflow-text = "*"
|
|
tfds-nightly = "*"
|
|
|
|
[package.extras]
|
|
cache-tasks = ["apache-beam"]
|
|
gcp = ["gevent", "google-api-python-client", "google-cloud-storage", "google-compute-engine", "oauth2client"]
|
|
test = ["pytest"]
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|
|
|
[[package]]
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|
name = "setproctitle"
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|
version = "1.3.3"
|
|
description = "A Python module to customize the process title"
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|
optional = false
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|
python-versions = ">=3.7"
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|
files = [
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[package.dependencies]
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absl-py = ">=1.0.0"
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astunparse = ">=1.6.0"
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flatbuffers = ">=1.12,<2"
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gast = ">=0.2.1,<=0.4.0"
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google-pasta = ">=0.1.1"
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grpcio = ">=1.24.3,<2.0"
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h5py = ">=2.9.0"
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keras = ">=2.9.0rc0,<2.10.0"
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keras-preprocessing = ">=1.1.1"
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libclang = ">=13.0.0"
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numpy = ">=1.20"
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opt-einsum = ">=2.3.2"
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packaging = "*"
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protobuf = ">=3.9.2,<3.20"
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setuptools = "*"
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six = ">=1.12.0"
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tensorboard = ">=2.9,<2.10"
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tensorflow-estimator = ">=2.9.0rc0,<2.10.0"
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tensorflow-io-gcs-filesystem = ">=0.23.1"
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termcolor = ">=1.1.0"
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typing-extensions = ">=3.6.6"
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wrapt = ">=1.11.0"
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name = "tensorflow-datasets"
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version = "4.8.3"
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description = "tensorflow/datasets is a library of datasets ready to use with TensorFlow."
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optional = false
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python-versions = ">=3.8"
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files = [
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absl-py = "*"
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click = "*"
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dm-tree = "*"
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etils = {version = ">=0.9.0", extras = ["enp", "epath"]}
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numpy = "*"
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promise = "*"
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protobuf = ">=3.12.2"
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psutil = "*"
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requests = ">=2.19.0"
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tensorflow-metadata = "*"
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termcolor = "*"
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toml = "*"
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tqdm = "*"
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wrapt = "*"
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aflw2k3d = ["scipy"]
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beir = ["apache-beam"]
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ble-wind-field = ["gcsfs", "zarr"]
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c4 = ["apache-beam", "gcld3", "langdetect", "nltk", "tldextract"]
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c4-wsrs = ["apache-beam"]
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cats-vs-dogs = ["matplotlib"]
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colorectal-histology = ["Pillow"]
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common-voice = ["pydub"]
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dev = ["apache-beam", "conllu", "datasets", "dill", "jax[cpu]", "jupyter", "pandas", "pydub", "pylint (>=2.6.0)", "pytest", "pytest-shard", "pytest-xdist", "pyyaml", "tensorflow-io", "yapf"]
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duke-ultrasound = ["scipy"]
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eurosat = ["imagecodecs", "scikit-image", "tifffile"]
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groove = ["pretty-midi", "pydub"]
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gtzan = ["pydub"]
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huggingface = ["Pillow", "bs4", "conllu", "datasets", "dill", "envlogger", "gcld3", "gcsfs", "h5py", "imagecodecs", "jax[cpu]", "jupyter", "langdetect", "lxml", "matplotlib", "mwparserfromhell", "networkx", "nltk", "opencv-python", "pandas", "pretty-midi", "pycocotools", "pydub", "pytest", "pytest-shard", "pytest-xdist", "pyyaml", "scikit-image", "scipy", "tensorflow-io", "tifffile", "tldextract", "zarr"]
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imagenet2012-corrupted = ["opencv-python", "scikit-image", "scipy"]
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librispeech = ["pydub"]
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locomotion = ["envlogger"]
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lsun = ["tensorflow-io"]
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matplotlib = ["matplotlib"]
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nsynth = ["crepe (>=0.0.11)", "librosa", "scikit-learn (==0.20.3)"]
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ogbg-molpcba = ["networkx", "pandas"]
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pet-finder = ["pandas"]
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robonet = ["h5py"]
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robosuite-panda-pick-place-can = ["envlogger"]
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smartwatch-gestures = ["pandas"]
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svhn = ["scipy"]
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tensorflow = ["tensorflow (>=2.1)"]
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tensorflow-data-validation = ["tensorflow-data-validation"]
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the300w-lp = ["scipy"]
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wider-face = ["Pillow"]
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wiki-dialog = ["apache-beam"]
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wikipedia = ["apache-beam", "mwparserfromhell"]
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wsc273 = ["bs4", "lxml"]
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youtube-vis = ["pycocotools"]
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name = "tensorflow-estimator"
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version = "2.9.0"
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description = "TensorFlow Estimator."
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optional = false
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python-versions = ">=3.7"
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files = [
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name = "tensorflow-hub"
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version = "0.16.1"
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description = "TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models."
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optional = false
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python-versions = "*"
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files = [
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numpy = ">=1.12.0"
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protobuf = ">=3.19.6"
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tf-keras = ">=2.14.1"
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name = "tensorflow-io-gcs-filesystem"
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version = "0.37.1"
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description = "TensorFlow IO"
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optional = false
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python-versions = "<3.13,>=3.7"
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tensorflow-rocm = ["tensorflow-rocm (>=2.16.0,<2.17.0)"]
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[[package]]
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name = "tensorflow-macos"
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[package.dependencies]
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huggingface-hub = ">=0.16.4,<1.0"
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[package.extras]
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dev = ["tokenizers[testing]"]
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docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
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testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
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[[package]]
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name = "toml"
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version = "0.10.2"
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description = "Python Library for Tom's Obvious, Minimal Language"
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optional = false
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python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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name = "tomli"
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version = "2.0.2"
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description = "A lil' TOML parser"
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name = "toolz"
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version = "1.0.0"
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description = "List processing tools and functional utilities"
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[[package]]
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name = "torch"
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description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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[[package]]
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name = "zipp"
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version = "3.20.2"
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description = "Backport of pathlib-compatible object wrapper for zip files"
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optional = false
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python-versions = ">=3.8"
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files = [
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[package.extras]
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check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
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cover = ["pytest-cov"]
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doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
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enabler = ["pytest-enabler (>=2.2)"]
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test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
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type = ["pytest-mypy"]
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[extras]
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pax = ["jax", "jaxlib", "lingvo", "paxml"]
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torch = ["jax", "jaxlib", "torch"]
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[metadata]
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lock-version = "2.0"
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python-versions = ">=3.10,<3.12"
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content-hash = "affa762e8460d592cd9c293dcf52bf59b7b5636f3a989d7e523e4f2d8893a0b0"
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