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use extras instead of groups

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This commit is contained in:
Pierre Chapuis 2023-09-13 15:15:50 +02:00
parent c421cfd56c
commit 0dfdd0d419
3 changed files with 226 additions and 231 deletions
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2
.github/workflows/ci.yml vendored
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@ -22,7 +22,7 @@ jobs:
installer-parallel: true
- name: poetry install
run: poetry install --no-interaction --extras=training
run: poetry install --no-interaction --all-extras
- name: black
run: poetry run black --check .

440
poetry.lock generated
View file

@ -157,17 +157,17 @@ files = [
[[package]]
name = "asttokens"
version = "2.2.1"
version = "2.4.0"
description = "Annotate AST trees with source code positions"
optional = false
python-versions = "*"
files = [
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]
[package.dependencies]
six = "*"
six = ">=1.12.0"
[package.extras]
test = ["astroid", "pytest"]
@ -225,33 +225,33 @@ files = [
[[package]]
name = "black"
version = "23.7.0"
version = "23.9.1"
description = "The uncompromising code formatter."
optional = false
python-versions = ">=3.8"
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[package.dependencies]
@ -261,6 +261,7 @@ packaging = ">=22.0"
pathspec = ">=0.9.0"
platformdirs = ">=2"
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
[package.extras]
colorama = ["colorama (>=0.4.3)"]
@ -272,7 +273,7 @@ uvloop = ["uvloop (>=0.15.2)"]
name = "certifi"
version = "2023.7.22"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
optional = true
python-versions = ">=3.6"
files = [
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@ -359,7 +360,7 @@ pycparser = "*"
name = "charset-normalizer"
version = "3.2.0"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
optional = true
python-versions = ">=3.7.0"
files = [
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@ -485,19 +486,19 @@ typing = ["mypy (>=0.990)"]
[[package]]
name = "datasets"
version = "2.14.4"
version = "2.14.5"
description = "HuggingFace community-driven open-source library of datasets"
optional = true
python-versions = ">=3.8.0"
files = [
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[package.dependencies]
aiohttp = "*"
dill = ">=0.3.0,<0.3.8"
fsspec = {version = ">=2021.11.1", extras = ["http"]}
fsspec = {version = ">=2023.1.0,<2023.9.0", extras = ["http"]}
huggingface-hub = ">=0.14.0,<1.0.0"
multiprocess = "*"
numpy = ">=1.17"
@ -527,29 +528,29 @@ vision = ["Pillow (>=6.2.1)"]
[[package]]
name = "debugpy"
version = "1.6.7.post1"
version = "1.8.0"
description = "An implementation of the Debug Adapter Protocol for Python"
optional = false
python-versions = ">=3.7"
python-versions = ">=3.8"
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optional = true
python-versions = ">=3.7.0"
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@ -650,18 +651,21 @@ tests = ["asttokens", "littleutils", "pytest", "rich"]
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python-versions = ">=3.8"
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name = "frozenlist"
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description = "File-system specification"
optional = false
optional = true
python-versions = ">=3.8"
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python-versions = ">=3.7"
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[[package]]
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python-versions = ">=3.7.0"
optional = true
python-versions = ">=3.8.0"
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inference = ["aiohttp", "pydantic (<2.0)"]
quality = ["black (==23.7)", "mypy (==1.5.1)", "ruff (>=0.0.241)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
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torch = ["torch"]
typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
typing = ["pydantic (<2.0)", "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)"
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optional = true
python-versions = ">=3.5"
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version = "6.8.0"
description = "Read metadata from Python packages"
optional = false
optional = true
python-versions = ">=3.8"
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optional = false
optional = true
python-versions = ">=3.6"
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[[package]]
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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\""}
@ -949,9 +958,9 @@ stack-data = "*"
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nbconvert = ["nbconvert"]
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[[package]]
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description = "Alternative regular expression module, to replace re."
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optional = true
python-versions = ">=3.6"
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version = "1.29.2"
version = "1.31.0"
description = "Python client for Sentry (https://sentry.io)"
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arq = ["arq (>=0.23)"]
asyncpg = ["asyncpg (>=0.23)"]
beam = ["apache-beam (>=2.12)"]
bottle = ["bottle (>=0.12.13)"]
celery = ["celery (>=3)"]
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)"]
@ -2544,6 +2540,7 @@ httpx = ["httpx (>=0.16.0)"]
huey = ["huey (>=2)"]
loguru = ["loguru (>=0.5)"]
opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
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pymongo = ["pymongo (>=3.1)"]
pyspark = ["pyspark (>=2.4.4)"]
@ -2641,19 +2638,19 @@ test = ["pytest"]
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@ -2714,7 +2711,7 @@ mpmath = ">=0.19"
name = "tokenizers"
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description = "Fast and Customizable Tokenizers"
optional = false
optional = true
python-versions = "*"
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optional = true
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@ -2909,13 +2906,13 @@ test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
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audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
codecarbon = ["codecarbon (==1.2.0)"]
deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"]
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "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", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "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)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "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", "hf-doc-builder (>=0.3.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "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)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
docs = ["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)", "hf-doc-builder", "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,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "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)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "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", "hf-doc-builder (>=0.3.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "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)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "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)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "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)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
docs = ["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)", "hf-doc-builder", "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 (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
docs-specific = ["hf-doc-builder"]
fairscale = ["fairscale (>0.3)"]
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)"]
@ -2964,35 +2961,35 @@ sigopt = ["sigopt"]
sklearn = ["scikit-learn"]
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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"]
tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"]
tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"]
tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
timm = ["timm"]
tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
torch = ["accelerate (>=0.20.3)", "torch (>=1.9,!=1.12.0)"]
torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
torch-vision = ["Pillow (<10.0.0)", "torchvision"]
torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"]
torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
video = ["av (==9.2.0)", "decord (==0.6.0)"]
vision = ["Pillow (<10.0.0)"]
[[package]]
name = "typeguard"
version = "4.1.2"
version = "4.1.5"
description = "Run-time type checker for Python"
optional = false
python-versions = ">=3.7.4"
python-versions = ">=3.8"
files = [
{file = "typeguard-4.1.2-py3-none-any.whl", hash = "sha256:e00775920d4c91e93a0db0ed473ecda9cfaca578aed3ce0ed3ba7f3cc38eab9c"},
{file = "typeguard-4.1.2.tar.gz", hash = "sha256:3be187945f9ef5a9f6d7a926dfe54babb7dfd807085ce05f9a5e8735f2487990"},
{file = "typeguard-4.1.5-py3-none-any.whl", hash = "sha256:8923e55f8873caec136c892c3bed1f676eae7be57cdb94819281b3d3bc9c0953"},
{file = "typeguard-4.1.5.tar.gz", hash = "sha256:ea0a113bbc111bcffc90789ebb215625c963411f7096a7e9062d4e4630c155fd"},
]
[package.dependencies]
typing-extensions = {version = ">=4.7.0", markers = "python_version < \"3.12\""}
[package.extras]
doc = ["Sphinx (<7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["mypy (>=1.2.0)", "pytest (>=7)"]
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"]
test = ["coverage[toml] (>=7)", "mypy (>=1.2.0)", "pytest (>=7)"]
[[package]]
name = "typing-extensions"
@ -3020,7 +3017,7 @@ files = [
name = "urllib3"
version = "2.0.4"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
optional = true
python-versions = ">=3.7"
files = [
{file = "urllib3-2.0.4-py3-none-any.whl", hash = "sha256:de7df1803967d2c2a98e4b11bb7d6bd9210474c46e8a0401514e3a42a75ebde4"},
@ -3035,13 +3032,13 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "wandb"
version = "0.15.8"
description = "A CLI and library for interacting with the Weights and Biases API."
version = "0.15.10"
description = "A CLI and library for interacting with the Weights & Biases API."
optional = true
python-versions = ">=3.6"
files = [
{file = "wandb-0.15.8-py3-none-any.whl", hash = "sha256:0cff71d412a9e6bed0f60cc0dd77d2b9898d3baf0a4aa31c741d3653e84dbd6b"},
{file = "wandb-0.15.8.tar.gz", hash = "sha256:2c39e129fb8dc69c7ff813aa52c2ce7f98e3a0f25c12dd96b1de7528d9443a84"},
{file = "wandb-0.15.10-py3-none-any.whl", hash = "sha256:bc810879fecd1b62ccd498658e55ade3702939090a94b99418630e77e1f43d50"},
{file = "wandb-0.15.10.tar.gz", hash = "sha256:5ce6d2d6be904da726b591a19ac22d2e71aa4b6a9ed450d8cd817d1712969b13"},
]
[package.dependencies]
@ -3063,7 +3060,6 @@ async = ["httpx (>=0.22.0)"]
aws = ["boto3"]
azure = ["azure-identity", "azure-storage-blob"]
gcp = ["google-cloud-storage"]
grpc = ["grpcio (>=1.27.2)"]
kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
launch = ["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"]
media = ["bokeh", "moviepy", "numpy", "pillow", "plotly", "rdkit-pypi", "soundfile"]
@ -3281,7 +3277,7 @@ multidict = ">=4.0"
name = "zipp"
version = "3.16.2"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
optional = true
python-versions = ">=3.8"
files = [
{file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
@ -3293,9 +3289,11 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.link
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", "transformers"]
test = ["diffusers", "invisible-watermark", "piq", "transformers"]
training = ["bitsandbytes", "datasets", "loguru", "prodigyopt", "pydantic", "scipy", "tomli", "torchvision", "wandb"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
content-hash = "bab83a0008c4bb9d58d427e3e31777ce70af6f40a512fff5ad0b6f9996a9dbf1"
content-hash = "b2646e04015b05eba32e6556b4aa37d3c5c31218c09fd0ea53d7540af558b7de"

15
pyproject.toml
View file

@ -25,10 +25,15 @@ prodigyopt = {version = "^1.0", optional = true}
pydantic = {version = "~2.0.3", optional = true}
scipy = {version = "^1.11.1", optional = true}
torchvision = {version = "^0.15.2", optional = true}
diffusers = {version = "^0.18.0", optional = true}
transformers = {version = "^4.27.4", optional = true}
piq = {version = "^0.7.1", optional = true}
invisible-watermark = {version = "^0.2.0", optional = true}
[tool.poetry.extras]
training = ["datasets", "tomli", "wandb", "loguru", "bitsandbytes", "prodigyopt", "pydantic", "scipy", "torchvision"]
conversion = ["diffusers", "transformers"]
test = ["diffusers", "transformers", "piq", "invisible-watermark"]
[tool.poetry.group.dev.dependencies]
black = "^23.1.0"
@ -38,14 +43,6 @@ ipykernel = "^6.22.0"
pyright = "^1.1.318"
ruff = "^0.0.281"
[tool.poetry.group.test.dependencies]
diffusers = "^0.18.0"
transformers = "^4.27.4"
piq = "^0.7.1"
invisible-watermark = "^0.2.0"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"