mirror of
https://github.com/finegrain-ai/refiners.git
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3442 lines
311 KiB
TOML
3442 lines
311 KiB
TOML
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
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[[package]]
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name = "aiohttp"
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version = "3.8.5"
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description = "Async http client/server framework (asyncio)"
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optional = true
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python-versions = ">=3.6"
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files = [
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]
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[package.dependencies]
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pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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version = "3.3.0"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = true
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python-versions = ">=3.7.0"
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files = [
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abfs = ["adlfs"]
|
|
adl = ["adlfs"]
|
|
arrow = ["pyarrow (>=1)"]
|
|
dask = ["dask", "distributed"]
|
|
devel = ["pytest", "pytest-cov"]
|
|
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
|
|
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
|
|
fuse = ["fusepy"]
|
|
gcs = ["gcsfs"]
|
|
git = ["pygit2"]
|
|
github = ["requests"]
|
|
gs = ["gcsfs"]
|
|
gui = ["panel"]
|
|
hdfs = ["pyarrow (>=1)"]
|
|
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
|
|
libarchive = ["libarchive-c"]
|
|
oci = ["ocifs"]
|
|
s3 = ["s3fs"]
|
|
sftp = ["paramiko"]
|
|
smb = ["smbprotocol"]
|
|
ssh = ["paramiko"]
|
|
tqdm = ["tqdm"]
|
|
|
|
[[package]]
|
|
name = "gitdb"
|
|
version = "4.0.10"
|
|
description = "Git Object Database"
|
|
optional = true
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "gitdb-4.0.10-py3-none-any.whl", hash = "sha256:c286cf298426064079ed96a9e4a9d39e7f3e9bf15ba60701e95f5492f28415c7"},
|
|
{file = "gitdb-4.0.10.tar.gz", hash = "sha256:6eb990b69df4e15bad899ea868dc46572c3f75339735663b81de79b06f17eb9a"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
smmap = ">=3.0.1,<6"
|
|
|
|
[[package]]
|
|
name = "gitpython"
|
|
version = "3.1.37"
|
|
description = "GitPython is a Python library used to interact with Git repositories"
|
|
optional = true
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "GitPython-3.1.37-py3-none-any.whl", hash = "sha256:5f4c4187de49616d710a77e98ddf17b4782060a1788df441846bddefbb89ab33"},
|
|
{file = "GitPython-3.1.37.tar.gz", hash = "sha256:f9b9ddc0761c125d5780eab2d64be4873fc6817c2899cbcb34b02344bdc7bc54"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
gitdb = ">=4.0.1,<5"
|
|
|
|
[package.extras]
|
|
test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-sugar"]
|
|
|
|
[[package]]
|
|
name = "huggingface-hub"
|
|
version = "0.16.4"
|
|
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
|
optional = true
|
|
python-versions = ">=3.7.0"
|
|
files = [
|
|
{file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
|
|
{file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
filelock = "*"
|
|
fsspec = "*"
|
|
packaging = ">=20.9"
|
|
pyyaml = ">=5.1"
|
|
requests = "*"
|
|
tqdm = ">=4.42.1"
|
|
typing-extensions = ">=3.7.4.3"
|
|
|
|
[package.extras]
|
|
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
|
|
cli = ["InquirerPy (==0.3.4)"]
|
|
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
|
|
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
|
|
inference = ["aiohttp", "pydantic"]
|
|
quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
|
|
tensorflow = ["graphviz", "pydot", "tensorflow"]
|
|
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
|
|
torch = ["torch"]
|
|
typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
|
|
|
|
[[package]]
|
|
name = "idna"
|
|
version = "3.4"
|
|
description = "Internationalized Domain Names in Applications (IDNA)"
|
|
optional = true
|
|
python-versions = ">=3.5"
|
|
files = [
|
|
{file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
|
|
{file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "importlib-metadata"
|
|
version = "6.8.0"
|
|
description = "Read metadata from Python packages"
|
|
optional = true
|
|
python-versions = ">=3.8"
|
|
files = [
|
|
{file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"},
|
|
{file = "importlib_metadata-6.8.0.tar.gz", hash = "sha256:dbace7892d8c0c4ac1ad096662232f831d4e64f4c4545bd53016a3e9d4654743"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
zipp = ">=0.5"
|
|
|
|
[package.extras]
|
|
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
|
|
perf = ["ipython"]
|
|
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
|
|
|
|
[[package]]
|
|
name = "iniconfig"
|
|
version = "2.0.0"
|
|
description = "brain-dead simple config-ini parsing"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
|
|
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "invisible-watermark"
|
|
version = "0.2.0"
|
|
description = "The library for creating and decoding invisible image watermarks"
|
|
optional = true
|
|
python-versions = ">=3.6"
|
|
files = [
|
|
{file = "invisible_watermark-0.2.0-py3-none-any.whl", hash = "sha256:644311beed9cfe4a9a5a4a46c740f47800cef184fe2e1297f3f4542e2d992f8b"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
numpy = ">=1.17.0"
|
|
opencv-python = ">=4.1.0.25"
|
|
Pillow = ">=6.0.0"
|
|
PyWavelets = ">=1.1.1"
|
|
torch = "*"
|
|
|
|
[[package]]
|
|
name = "ipykernel"
|
|
version = "6.25.2"
|
|
description = "IPython Kernel for Jupyter"
|
|
optional = false
|
|
python-versions = ">=3.8"
|
|
files = [
|
|
{file = "ipykernel-6.25.2-py3-none-any.whl", hash = "sha256:2e2ee359baba19f10251b99415bb39de1e97d04e1fab385646f24f0596510b77"},
|
|
{file = "ipykernel-6.25.2.tar.gz", hash = "sha256:f468ddd1f17acb48c8ce67fcfa49ba6d46d4f9ac0438c1f441be7c3d1372230b"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
appnope = {version = "*", markers = "platform_system == \"Darwin\""}
|
|
comm = ">=0.1.1"
|
|
debugpy = ">=1.6.5"
|
|
ipython = ">=7.23.1"
|
|
jupyter-client = ">=6.1.12"
|
|
jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
|
|
matplotlib-inline = ">=0.1"
|
|
nest-asyncio = "*"
|
|
packaging = "*"
|
|
psutil = "*"
|
|
pyzmq = ">=20"
|
|
tornado = ">=6.1"
|
|
traitlets = ">=5.4.0"
|
|
|
|
[package.extras]
|
|
cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
|
|
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
|
|
pyqt5 = ["pyqt5"]
|
|
pyside6 = ["pyside6"]
|
|
test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov", "pytest-timeout"]
|
|
|
|
[[package]]
|
|
name = "ipython"
|
|
version = "8.16.1"
|
|
description = "IPython: Productive Interactive Computing"
|
|
optional = false
|
|
python-versions = ">=3.9"
|
|
files = [
|
|
{file = "ipython-8.16.1-py3-none-any.whl", hash = "sha256:0852469d4d579d9cd613c220af7bf0c9cc251813e12be647cb9d463939db9b1e"},
|
|
{file = "ipython-8.16.1.tar.gz", hash = "sha256:ad52f58fca8f9f848e256c629eff888efc0528c12fe0f8ec14f33205f23ef938"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
appnope = {version = "*", markers = "sys_platform == \"darwin\""}
|
|
backcall = "*"
|
|
colorama = {version = "*", markers = "sys_platform == \"win32\""}
|
|
decorator = "*"
|
|
exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
|
|
jedi = ">=0.16"
|
|
matplotlib-inline = "*"
|
|
pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
|
|
pickleshare = "*"
|
|
prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
|
|
pygments = ">=2.4.0"
|
|
stack-data = "*"
|
|
traitlets = ">=5"
|
|
|
|
[package.extras]
|
|
all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
|
|
black = ["black"]
|
|
doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
|
|
kernel = ["ipykernel"]
|
|
nbconvert = ["nbconvert"]
|
|
nbformat = ["nbformat"]
|
|
notebook = ["ipywidgets", "notebook"]
|
|
parallel = ["ipyparallel"]
|
|
qtconsole = ["qtconsole"]
|
|
test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
|
|
test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
|
|
|
|
[[package]]
|
|
name = "isort"
|
|
version = "5.12.0"
|
|
description = "A Python utility / library to sort Python imports."
|
|
optional = false
|
|
python-versions = ">=3.8.0"
|
|
files = [
|
|
{file = "isort-5.12.0-py3-none-any.whl", hash = "sha256:f84c2818376e66cf843d497486ea8fed8700b340f308f076c6fb1229dff318b6"},
|
|
{file = "isort-5.12.0.tar.gz", hash = "sha256:8bef7dde241278824a6d83f44a544709b065191b95b6e50894bdc722fcba0504"},
|
|
]
|
|
|
|
[package.extras]
|
|
colors = ["colorama (>=0.4.3)"]
|
|
pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"]
|
|
plugins = ["setuptools"]
|
|
requirements-deprecated-finder = ["pip-api", "pipreqs"]
|
|
|
|
[[package]]
|
|
name = "jaxtyping"
|
|
version = "0.2.22"
|
|
description = "Type annotations and runtime checking for shape and dtype of JAX arrays, and PyTrees."
|
|
optional = false
|
|
python-versions = "~=3.9"
|
|
files = [
|
|
{file = "jaxtyping-0.2.22-py3-none-any.whl", hash = "sha256:7b68a8d34bfb823ff5537b94552850a2e7f2687d61afeaee0689c0615bfcea98"},
|
|
{file = "jaxtyping-0.2.22.tar.gz", hash = "sha256:adf0a6b3098ec7a20165adbdc019e90f1b52494462367b5d12c0a5ea2555d223"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
numpy = ">=1.20.0"
|
|
typeguard = ">=2.13.3"
|
|
typing-extensions = ">=3.7.4.1"
|
|
|
|
[[package]]
|
|
name = "jedi"
|
|
version = "0.19.1"
|
|
description = "An autocompletion tool for Python that can be used for text editors."
|
|
optional = false
|
|
python-versions = ">=3.6"
|
|
files = [
|
|
{file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
|
|
{file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
parso = ">=0.8.3,<0.9.0"
|
|
|
|
[package.extras]
|
|
docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
|
|
qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
|
|
testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
|
|
|
|
[[package]]
|
|
name = "jinja2"
|
|
version = "3.1.2"
|
|
description = "A very fast and expressive template engine."
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
|
|
{file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
MarkupSafe = ">=2.0"
|
|
|
|
[package.extras]
|
|
i18n = ["Babel (>=2.7)"]
|
|
|
|
[[package]]
|
|
name = "jupyter-client"
|
|
version = "8.3.1"
|
|
description = "Jupyter protocol implementation and client libraries"
|
|
optional = false
|
|
python-versions = ">=3.8"
|
|
files = [
|
|
{file = "jupyter_client-8.3.1-py3-none-any.whl", hash = "sha256:5eb9f55eb0650e81de6b7e34308d8b92d04fe4ec41cd8193a913979e33d8e1a5"},
|
|
{file = "jupyter_client-8.3.1.tar.gz", hash = "sha256:60294b2d5b869356c893f57b1a877ea6510d60d45cf4b38057f1672d85699ac9"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
|
|
python-dateutil = ">=2.8.2"
|
|
pyzmq = ">=23.0"
|
|
tornado = ">=6.2"
|
|
traitlets = ">=5.3"
|
|
|
|
[package.extras]
|
|
docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
|
|
test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
|
|
|
|
[[package]]
|
|
name = "jupyter-core"
|
|
version = "5.3.2"
|
|
description = "Jupyter core package. A base package on which Jupyter projects rely."
|
|
optional = false
|
|
python-versions = ">=3.8"
|
|
files = [
|
|
{file = "jupyter_core-5.3.2-py3-none-any.whl", hash = "sha256:a4af53c3fa3f6330cebb0d9f658e148725d15652811d1c32dc0f63bb96f2e6d6"},
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[package.dependencies]
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cffi = {version = "*", markers = "implementation_name == \"pypy\""}
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[[package]]
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name = "regex"
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version = "2023.10.3"
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description = "Alternative regular expression module, to replace re."
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optional = true
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python-versions = ">=3.7"
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{file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
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{file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
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[package.dependencies]
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colorama = {version = "*", markers = "platform_system == \"Windows\""}
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[package.extras]
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dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
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notebook = ["ipywidgets (>=6)"]
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slack = ["slack-sdk"]
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|
telegram = ["requests"]
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[[package]]
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|
name = "traitlets"
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|
version = "5.11.2"
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|
description = "Traitlets Python configuration system"
|
|
optional = false
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|
python-versions = ">=3.8"
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files = [
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{file = "traitlets-5.11.2-py3-none-any.whl", hash = "sha256:98277f247f18b2c5cabaf4af369187754f4fb0e85911d473f72329db8a7f4fae"},
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{file = "traitlets-5.11.2.tar.gz", hash = "sha256:7564b5bf8d38c40fa45498072bf4dc5e8346eb087bbf1e2ae2d8774f6a0f078e"},
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]
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[package.extras]
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docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
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test = ["argcomplete (>=3.0.3)", "mypy (>=1.5.1)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
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|
|
[[package]]
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|
name = "transformers"
|
|
version = "4.34.0"
|
|
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
|
optional = true
|
|
python-versions = ">=3.8.0"
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|
files = [
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{file = "transformers-4.34.0-py3-none-any.whl", hash = "sha256:3f0187183a7f22c51ecbbc9eac5145df666c5b86bec6feed10e11f0363f3a1f9"},
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{file = "transformers-4.34.0.tar.gz", hash = "sha256:cc2ae61bfbfaa45337fd9017326669fc60e4f55125f589d50da47819e3d6f504"},
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[package.dependencies]
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filelock = "*"
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huggingface-hub = ">=0.16.4,<1.0"
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numpy = ">=1.17"
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|
packaging = ">=20.0"
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|
pyyaml = ">=5.1"
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|
regex = "!=2019.12.17"
|
|
requests = "*"
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safetensors = ">=0.3.1"
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tokenizers = ">=0.14,<0.15"
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tqdm = ">=4.27"
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[package.extras]
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accelerate = ["accelerate (>=0.20.3)"]
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agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.10,!=1.12.0)"]
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all = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "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]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
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audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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codecarbon = ["codecarbon (==1.2.0)"]
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deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"]
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docs-specific = ["hf-doc-builder"]
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fairscale = ["fairscale (>0.3)"]
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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)"]
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flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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ftfy = ["ftfy"]
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integrations = ["optuna", "ray[tune]", "sigopt"]
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ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
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modelcreation = ["cookiecutter (==1.7.3)"]
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natten = ["natten (>=0.14.6)"]
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onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
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onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
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optuna = ["optuna"]
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quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (>=0.0.241,<=0.0.259)", "urllib3 (<2.0.0)"]
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ray = ["ray[tune]"]
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retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
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sagemaker = ["sagemaker (>=2.31.0)"]
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sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
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|
serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"]
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|
sigopt = ["sigopt"]
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|
sklearn = ["scikit-learn"]
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|
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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|
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"]
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tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
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tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
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tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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timm = ["timm"]
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tokenizers = ["tokenizers (>=0.14,<0.15)"]
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torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
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torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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torch-vision = ["Pillow (<10.0.0)", "torchvision"]
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torchhub = ["filelock", "huggingface-hub (>=0.16.4,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
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video = ["av (==9.2.0)", "decord (==0.6.0)"]
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vision = ["Pillow (<10.0.0)"]
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[[package]]
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|
name = "typeguard"
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|
version = "4.1.5"
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|
description = "Run-time type checker for Python"
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|
optional = false
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|
python-versions = ">=3.8"
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|
files = [
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{file = "typeguard-4.1.5-py3-none-any.whl", hash = "sha256:8923e55f8873caec136c892c3bed1f676eae7be57cdb94819281b3d3bc9c0953"},
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{file = "typeguard-4.1.5.tar.gz", hash = "sha256:ea0a113bbc111bcffc90789ebb215625c963411f7096a7e9062d4e4630c155fd"},
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]
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|
[package.dependencies]
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|
typing-extensions = {version = ">=4.7.0", markers = "python_version < \"3.12\""}
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|
|
|
[package.extras]
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doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"]
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test = ["coverage[toml] (>=7)", "mypy (>=1.2.0)", "pytest (>=7)"]
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|
|
[[package]]
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|
name = "typing-extensions"
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|
version = "4.8.0"
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|
description = "Backported and Experimental Type Hints for Python 3.8+"
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|
optional = false
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python-versions = ">=3.8"
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files = [
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{file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
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{file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
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[[package]]
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|
name = "tzdata"
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|
version = "2023.3"
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|
description = "Provider of IANA time zone data"
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|
optional = true
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|
python-versions = ">=2"
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files = [
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{file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
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{file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
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[[package]]
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name = "urllib3"
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version = "2.0.6"
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description = "HTTP library with thread-safe connection pooling, file post, and more."
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optional = true
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python-versions = ">=3.7"
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|
files = [
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{file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"},
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{file = "urllib3-2.0.6.tar.gz", hash = "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"},
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brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
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secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
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socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
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zstd = ["zstandard (>=0.18.0)"]
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|
|
[[package]]
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|
name = "wandb"
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|
version = "0.15.12"
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|
description = "A CLI and library for interacting with the Weights & Biases API."
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|
optional = true
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|
python-versions = ">=3.6"
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|
files = [
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{file = "wandb-0.15.12-py3-none-any.whl", hash = "sha256:75c57b5bb8ddae21d45a02f644628585bdd112fea686de3177099a0996f1c41c"},
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{file = "wandb-0.15.12.tar.gz", hash = "sha256:c344d92fb8044b072a6138afd9adc5d3801ad050cf11378fe2af2fe899dcca84"},
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appdirs = ">=1.4.3"
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Click = ">=7.1,<8.0.0 || >8.0.0"
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|
docker-pycreds = ">=0.4.0"
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GitPython = ">=1.0.0,<3.1.29 || >3.1.29"
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pathtools = "*"
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|
protobuf = {version = ">=3.19.0,<4.21.0 || >4.21.0,<5", markers = "python_version > \"3.9\" or sys_platform != \"linux\""}
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|
psutil = ">=5.0.0"
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|
PyYAML = "*"
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|
requests = ">=2.0.0,<3"
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|
sentry-sdk = ">=1.0.0"
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|
setproctitle = "*"
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|
setuptools = "*"
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|
[package.extras]
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async = ["httpx (>=0.22.0)"]
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|
aws = ["boto3"]
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|
azure = ["azure-identity", "azure-storage-blob"]
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|
gcp = ["google-cloud-storage"]
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|
kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
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|
launch = ["PyYAML (>=6.0.0)", "awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "kubernetes", "nbconvert", "nbformat", "optuna", "typing-extensions"]
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|
media = ["bokeh", "moviepy", "numpy", "pillow", "plotly", "rdkit-pypi", "soundfile"]
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models = ["cloudpickle"]
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nexus = ["wandb-core (>=0.16.0b1)"]
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perf = ["orjson"]
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sweeps = ["sweeps (>=0.2.0)"]
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|
|
[[package]]
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|
name = "wcwidth"
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version = "0.2.8"
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|
description = "Measures the displayed width of unicode strings in a terminal"
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|
optional = false
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python-versions = "*"
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files = [
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{file = "wcwidth-0.2.8-py2.py3-none-any.whl", hash = "sha256:77f719e01648ed600dfa5402c347481c0992263b81a027344f3e1ba25493a704"},
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{file = "wcwidth-0.2.8.tar.gz", hash = "sha256:8705c569999ffbb4f6a87c6d1b80f324bd6db952f5eb0b95bc07517f4c1813d4"},
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[[package]]
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|
name = "win32-setctime"
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version = "1.1.0"
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|
description = "A small Python utility to set file creation time on Windows"
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|
optional = true
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|
python-versions = ">=3.5"
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|
files = [
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{file = "win32_setctime-1.1.0-py3-none-any.whl", hash = "sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad"},
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[[package]]
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[[package]]
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name = "yarl"
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version = "1.9.2"
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description = "Yet another URL library"
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optional = true
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python-versions = ">=3.7"
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{file = "yarl-1.9.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8c56986609b057b4839968ba901944af91b8e92f1725d1a2d77cbac6972b9ed1"},
|
|
{file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2c315df3293cd521033533d242d15eab26583360b58f7ee5d9565f15fee1bef4"},
|
|
{file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:b7232f8dfbd225d57340e441d8caf8652a6acd06b389ea2d3222b8bc89cbfca6"},
|
|
{file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:53338749febd28935d55b41bf0bcc79d634881195a39f6b2f767870b72514caf"},
|
|
{file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:066c163aec9d3d073dc9ffe5dd3ad05069bcb03fcaab8d221290ba99f9f69ee3"},
|
|
{file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8288d7cd28f8119b07dd49b7230d6b4562f9b61ee9a4ab02221060d21136be80"},
|
|
{file = "yarl-1.9.2-cp39-cp39-win32.whl", hash = "sha256:b124e2a6d223b65ba8768d5706d103280914d61f5cae3afbc50fc3dfcc016623"},
|
|
{file = "yarl-1.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:61016e7d582bc46a5378ffdd02cd0314fb8ba52f40f9cf4d9a5e7dbef88dee18"},
|
|
{file = "yarl-1.9.2.tar.gz", hash = "sha256:04ab9d4b9f587c06d801c2abfe9317b77cdf996c65a90d5e84ecc45010823571"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
idna = ">=2.0"
|
|
multidict = ">=4.0"
|
|
|
|
[[package]]
|
|
name = "zipp"
|
|
version = "3.17.0"
|
|
description = "Backport of pathlib-compatible object wrapper for zip files"
|
|
optional = true
|
|
python-versions = ">=3.8"
|
|
files = [
|
|
{file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
|
|
{file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
|
|
]
|
|
|
|
[package.extras]
|
|
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
|
|
testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
|
|
|
|
[extras]
|
|
conversion = ["diffusers", "segment-anything", "transformers"]
|
|
test = ["diffusers", "invisible-watermark", "piq", "segment-anything", "torchvision", "transformers"]
|
|
training = ["bitsandbytes", "datasets", "loguru", "prodigyopt", "pydantic", "scipy", "tomli", "torchvision", "wandb"]
|
|
|
|
[metadata]
|
|
lock-version = "2.0"
|
|
python-versions = ">=3.10,<3.12"
|
|
content-hash = "da0a1691de258bf73fc34b778fd08f5af9c36f8ebf7ee0cf867fc298bb971335"
|