mirror of
https://gitflic.ru/project/alt-gnome/karkas.git
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Merged with feat/add-ai-spam-detection
This commit is contained in:
commit
c9afdf46ca
684
src/altlinux/poetry.lock
generated
684
src/altlinux/poetry.lock
generated
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]
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||||
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||||
[package.dependencies]
|
||||
huggingface-hub = ">=0.16.4,<1.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["tokenizers[testing]"]
|
||||
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
|
||||
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.0.1"
|
||||
@ -1767,6 +2324,131 @@ files = [
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||||
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "torch"
|
||||
version = "2.4.1+cpu"
|
||||
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
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|
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{file = "torch-2.4.1+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:1dd062d296fb78aa7cfab8690bf03704995a821b5ef69cfc807af5c0831b4202"},
|
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{file = "torch-2.4.1+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:2b03e20f37557d211d14e3fb3f71709325336402db132a1e0dd8b47392185baf"},
|
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{file = "torch-2.4.1+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:76a6fe7b10491b650c630bc9ae328df40f79a948296b41d3b087b29a8a63cbad"},
|
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{file = "torch-2.4.1+cpu-cp312-cp312-linux_x86_64.whl", hash = "sha256:8800deef0026011d502c0c256cc4b67d002347f63c3a38cd8e45f1f445c61364"},
|
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{file = "torch-2.4.1+cpu-cp312-cp312-win_amd64.whl", hash = "sha256:3a570e5c553415cdbddfe679207327b3a3806b21c6adea14fba77684d1619e97"},
|
||||
{file = "torch-2.4.1+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:0c0a7cc4f7c74ff024d5a5e21230a01289b65346b27a626f6c815d94b4b8c955"},
|
||||
{file = "torch-2.4.1+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:330e780f478707478f797fdc82c2a96e9b8c5f60b6f1f57bb6ad1dd5b1e7e97e"},
|
||||
{file = "torch-2.4.1+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:3c99506980a2fb4b634008ccb758f42dd82f93ae2830c1e41f64536e310bf562"},
|
||||
{file = "torch-2.4.1+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:c4f2c3c026e876d4dad7629170ec14fff48c076d6c2ae0e354ab3fdc09024f00"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
fsspec = "*"
|
||||
jinja2 = "*"
|
||||
networkx = "*"
|
||||
sympy = "*"
|
||||
typing-extensions = ">=4.8.0"
|
||||
|
||||
[package.extras]
|
||||
opt-einsum = ["opt-einsum (>=3.3)"]
|
||||
optree = ["optree (>=0.11.0)"]
|
||||
|
||||
[package.source]
|
||||
type = "legacy"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
reference = "pytorch-cpu"
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.66.5"
|
||||
description = "Fast, Extensible Progress Meter"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
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{file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
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{file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
|
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]
|
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|
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[package.dependencies]
|
||||
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||
|
||||
[package.extras]
|
||||
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
|
||||
notebook = ["ipywidgets (>=6)"]
|
||||
slack = ["slack-sdk"]
|
||||
telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.45.2"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
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{file = "transformers-4.45.2-py3-none-any.whl", hash = "sha256:c551b33660cfc815bae1f9f097ecfd1e65be623f13c6ee0dda372bd881460210"},
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{file = "transformers-4.45.2.tar.gz", hash = "sha256:72bc390f6b203892561f05f86bbfaa0e234aab8e927a83e62b9d92ea7e3ae101"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
huggingface-hub = ">=0.23.2,<1.0"
|
||||
numpy = ">=1.17"
|
||||
packaging = ">=20.0"
|
||||
pyyaml = ">=5.1"
|
||||
regex = "!=2019.12.17"
|
||||
requests = "*"
|
||||
safetensors = ">=0.4.1"
|
||||
tokenizers = ">=0.20,<0.21"
|
||||
tqdm = ">=4.27"
|
||||
|
||||
[package.extras]
|
||||
accelerate = ["accelerate (>=0.26.0)"]
|
||||
agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
|
||||
all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision"]
|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
benchmark = ["optimum-benchmark (>=0.3.0)"]
|
||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.20,<0.21)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
|
||||
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
ftfy = ["ftfy"]
|
||||
integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
|
||||
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)"]
|
||||
modelcreation = ["cookiecutter (==1.7.3)"]
|
||||
natten = ["natten (>=0.14.6,<0.15.0)"]
|
||||
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
||||
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
||||
optuna = ["optuna"]
|
||||
quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
|
||||
ray = ["ray[tune] (>=2.7.0)"]
|
||||
retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
|
||||
ruff = ["ruff (==0.5.1)"]
|
||||
sagemaker = ["sagemaker (>=2.31.0)"]
|
||||
sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
|
||||
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
|
||||
sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
tiktoken = ["blobfile", "tiktoken"]
|
||||
timm = ["timm (<=0.9.16)"]
|
||||
tokenizers = ["tokenizers (>=0.20,<0.21)"]
|
||||
torch = ["accelerate (>=0.26.0)", "torch"]
|
||||
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
|
||||
video = ["av (==9.2.0)", "decord (==0.6.0)"]
|
||||
vision = ["Pillow (>=10.0.1,<=15.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "typer"
|
||||
version = "0.12.3"
|
||||
@ -2217,4 +2899,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<3.13"
|
||||
content-hash = "d9a8013e760cfe29900565540b9638ba421dc0f63ae288e785f42d62de17e88c"
|
||||
content-hash = "7f6109c0854917f9ab1a856123c5b73171bbb3ad779f871adc825f2437a0247f"
|
||||
|
||||
@ -15,3 +15,8 @@ karkas-blocks = { path = "../karkas_blocks", develop = true }
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[[tool.poetry.source]]
|
||||
name = "pytorch-cpu"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
priority = "explicit"
|
||||
|
||||
684
src/gnomik/poetry.lock
generated
684
src/gnomik/poetry.lock
generated
@ -712,6 +712,22 @@ uvicorn = {version = ">=0.15.0", extras = ["standard"]}
|
||||
[package.extras]
|
||||
standard = ["uvicorn[standard] (>=0.15.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "filelock"
|
||||
version = "3.16.1"
|
||||
description = "A platform independent file lock."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
|
||||
{file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
|
||||
testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
|
||||
typing = ["typing-extensions (>=4.12.2)"]
|
||||
|
||||
[[package]]
|
||||
name = "flask"
|
||||
version = "3.0.3"
|
||||
@ -835,6 +851,45 @@ files = [
|
||||
{file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "fsspec"
|
||||
version = "2024.9.0"
|
||||
description = "File-system specification"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"},
|
||||
{file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
abfs = ["adlfs"]
|
||||
adl = ["adlfs"]
|
||||
arrow = ["pyarrow (>=1)"]
|
||||
dask = ["dask", "distributed"]
|
||||
dev = ["pre-commit", "ruff"]
|
||||
doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
|
||||
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)"]
|
||||
libarchive = ["libarchive-c"]
|
||||
oci = ["ocifs"]
|
||||
s3 = ["s3fs"]
|
||||
sftp = ["paramiko"]
|
||||
smb = ["smbprotocol"]
|
||||
ssh = ["paramiko"]
|
||||
test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
|
||||
test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
|
||||
test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
|
||||
tqdm = ["tqdm"]
|
||||
|
||||
[[package]]
|
||||
name = "h11"
|
||||
version = "0.14.0"
|
||||
@ -965,6 +1020,40 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
|
||||
http2 = ["h2 (>=3,<5)"]
|
||||
socks = ["socksio (==1.*)"]
|
||||
|
||||
[[package]]
|
||||
name = "huggingface-hub"
|
||||
version = "0.25.1"
|
||||
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
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||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
fsspec = ">=2023.5.0"
|
||||
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", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "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)"]
|
||||
cli = ["InquirerPy (==0.3.4)"]
|
||||
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "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)"]
|
||||
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
|
||||
hf-transfer = ["hf-transfer (>=0.1.4)"]
|
||||
inference = ["aiohttp", "minijinja (>=1.0)"]
|
||||
quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
|
||||
tensorflow = ["graphviz", "pydot", "tensorflow"]
|
||||
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
|
||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "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)"]
|
||||
torch = ["safetensors[torch]", "torch"]
|
||||
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "hypercorn"
|
||||
version = "0.17.3"
|
||||
@ -1102,6 +1191,8 @@ dash-extensions = "^1.0.18"
|
||||
karkas-core = {path = "../karkas_core", develop = true}
|
||||
peewee = "^3.17.6"
|
||||
pyyaml = "^6.0.1"
|
||||
torch = "^2.0"
|
||||
transformers = "^4.45.2"
|
||||
|
||||
[package.source]
|
||||
type = "directory"
|
||||
@ -1297,6 +1388,23 @@ files = [
|
||||
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "mpmath"
|
||||
version = "1.3.0"
|
||||
description = "Python library for arbitrary-precision floating-point arithmetic"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
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||||
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|
||||
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|
||||
|
||||
[package.extras]
|
||||
develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
|
||||
docs = ["sphinx"]
|
||||
gmpy = ["gmpy2 (>=2.1.0a4)"]
|
||||
tests = ["pytest (>=4.6)"]
|
||||
|
||||
[[package]]
|
||||
name = "multidict"
|
||||
version = "6.0.5"
|
||||
@ -1418,6 +1526,86 @@ files = [
|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "networkx"
|
||||
version = "3.3"
|
||||
description = "Python package for creating and manipulating graphs and networks"
|
||||
optional = false
|
||||
python-versions = ">=3.10"
|
||||
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|
||||
[package.extras]
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
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|
||||
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|
||||
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|
||||
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[[package]]
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@ -1746,6 +1934,109 @@ files = [
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description = "Alternative regular expression module, to replace re."
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optional = false
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|
||||
{file = "transformers-4.45.2.tar.gz", hash = "sha256:72bc390f6b203892561f05f86bbfaa0e234aab8e927a83e62b9d92ea7e3ae101"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
huggingface-hub = ">=0.23.2,<1.0"
|
||||
numpy = ">=1.17"
|
||||
packaging = ">=20.0"
|
||||
pyyaml = ">=5.1"
|
||||
regex = "!=2019.12.17"
|
||||
requests = "*"
|
||||
safetensors = ">=0.4.1"
|
||||
tokenizers = ">=0.20,<0.21"
|
||||
tqdm = ">=4.27"
|
||||
|
||||
[package.extras]
|
||||
accelerate = ["accelerate (>=0.26.0)"]
|
||||
agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
|
||||
all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision"]
|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
benchmark = ["optimum-benchmark (>=0.3.0)"]
|
||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.20,<0.21)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
|
||||
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
ftfy = ["ftfy"]
|
||||
integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
|
||||
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)"]
|
||||
modelcreation = ["cookiecutter (==1.7.3)"]
|
||||
natten = ["natten (>=0.14.6,<0.15.0)"]
|
||||
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
||||
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
||||
optuna = ["optuna"]
|
||||
quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
|
||||
ray = ["ray[tune] (>=2.7.0)"]
|
||||
retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
|
||||
ruff = ["ruff (==0.5.1)"]
|
||||
sagemaker = ["sagemaker (>=2.31.0)"]
|
||||
sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
|
||||
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
|
||||
sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
tiktoken = ["blobfile", "tiktoken"]
|
||||
timm = ["timm (<=0.9.16)"]
|
||||
tokenizers = ["tokenizers (>=0.20,<0.21)"]
|
||||
torch = ["accelerate (>=0.26.0)", "torch"]
|
||||
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
|
||||
video = ["av (==9.2.0)", "decord (==0.6.0)"]
|
||||
vision = ["Pillow (>=10.0.1,<=15.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "typer"
|
||||
version = "0.12.4"
|
||||
@ -2434,4 +3116,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<3.13"
|
||||
content-hash = "3b9ac09252888d4a9c90b7e5189783f155a8934a84a6f0ee440ca3eecbe28616"
|
||||
content-hash = "8a15338b9083a814a02c722029363e8e9d0865e91834d64ab602152e19a72890"
|
||||
|
||||
@ -14,3 +14,8 @@ karkas-piccolo = { path = "../karkas_piccolo", develop = true }
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[[tool.poetry.source]]
|
||||
name = "pytorch-cpu"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
priority = "explicit"
|
||||
|
||||
@ -1 +1 @@
|
||||
from .main import module_init
|
||||
from .main import module_init, module_late_init
|
||||
|
||||
@ -2,14 +2,14 @@ import os
|
||||
|
||||
from karkas_piccolo.conf.apps import AppConfig
|
||||
|
||||
from .tables import SpamLog
|
||||
from .tables import SpamLog, VerifiedUsers
|
||||
|
||||
CURRENT_DIRECTORY = os.path.dirname(os.path.abspath(__file__))
|
||||
|
||||
APP_CONFIG = AppConfig(
|
||||
app_name="standard.spam",
|
||||
migrations_folder_path=os.path.join(CURRENT_DIRECTORY, "piccolo_migrations"),
|
||||
table_classes=[SpamLog],
|
||||
table_classes=[SpamLog, VerifiedUsers],
|
||||
migration_dependencies=[],
|
||||
commands=[],
|
||||
)
|
||||
|
||||
@ -0,0 +1,64 @@
|
||||
from piccolo.apps.migrations.auto.migration_manager import MigrationManager
|
||||
from piccolo.columns.column_types import Boolean, Text
|
||||
from piccolo.columns.indexes import IndexMethod
|
||||
|
||||
ID = "2024-10-08T18:31:17:058814"
|
||||
VERSION = "1.20.0"
|
||||
DESCRIPTION = ""
|
||||
|
||||
|
||||
async def forwards():
|
||||
manager = MigrationManager(
|
||||
migration_id=ID, app_name="standard.spam", description=DESCRIPTION
|
||||
)
|
||||
|
||||
manager.add_table(
|
||||
class_name="VerifiedUsers",
|
||||
tablename="verified_users",
|
||||
schema=None,
|
||||
columns=None,
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="VerifiedUsers",
|
||||
tablename="verified_users",
|
||||
column_name="key",
|
||||
db_column_name="key",
|
||||
column_class_name="Text",
|
||||
column_class=Text,
|
||||
params={
|
||||
"default": "",
|
||||
"null": False,
|
||||
"primary_key": True,
|
||||
"unique": False,
|
||||
"index": False,
|
||||
"index_method": IndexMethod.btree,
|
||||
"choices": None,
|
||||
"db_column_name": None,
|
||||
"secret": False,
|
||||
},
|
||||
schema=None,
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="VerifiedUsers",
|
||||
tablename="verified_users",
|
||||
column_name="verified",
|
||||
db_column_name="verified",
|
||||
column_class_name="Boolean",
|
||||
column_class=Boolean,
|
||||
params={
|
||||
"default": False,
|
||||
"null": False,
|
||||
"primary_key": False,
|
||||
"unique": False,
|
||||
"index": False,
|
||||
"index_method": IndexMethod.btree,
|
||||
"choices": None,
|
||||
"db_column_name": None,
|
||||
"secret": False,
|
||||
},
|
||||
schema=None,
|
||||
)
|
||||
|
||||
return manager
|
||||
@ -1,4 +1,4 @@
|
||||
from piccolo.columns import JSON, Date, Text
|
||||
from piccolo.columns import JSON, Boolean, Date, Text
|
||||
from piccolo.table import Table
|
||||
|
||||
|
||||
@ -6,3 +6,9 @@ class SpamLog(Table):
|
||||
message_text = Text(null=True)
|
||||
attachments = JSON()
|
||||
created_at = Date()
|
||||
|
||||
|
||||
class VerifiedUsers(Table):
|
||||
# Key format: `{message_chat_id}-{message_id}`
|
||||
key = Text(primary_key=True)
|
||||
verified = Boolean()
|
||||
|
||||
@ -7,7 +7,8 @@
|
||||
"privileged": true,
|
||||
"dependencies": {
|
||||
"required": {
|
||||
"standard.config": "^1.0.0"
|
||||
"standard.config": "^1.0.0",
|
||||
"standard.database": "^1.0.0"
|
||||
},
|
||||
"optional": {
|
||||
"standard.command_helper": "^1.0.0",
|
||||
|
||||
@ -1,11 +1,22 @@
|
||||
from typing import TYPE_CHECKING, Type
|
||||
from typing import TYPE_CHECKING, Any, Awaitable, Callable, Dict, Type
|
||||
|
||||
from aiogram import Bot, Router
|
||||
from aiogram.filters import Command
|
||||
from aiogram import BaseMiddleware, Bot, Router
|
||||
from aiogram.filters import JOIN_TRANSITION, ChatMemberUpdatedFilter, Command
|
||||
|
||||
from karkas_core.modules_system.public_api import get_module, register_router
|
||||
from karkas_core.modules_system.public_api import (
|
||||
get_module,
|
||||
log,
|
||||
register_outer_chat_member_middleware,
|
||||
register_outer_message_middleware,
|
||||
register_router,
|
||||
)
|
||||
|
||||
from .db.tables import SpamLog
|
||||
if TYPE_CHECKING:
|
||||
from karkas_blocks.standard.config import IConfig
|
||||
from aiogram.types import ChatMemberUpdated, Message, TelegramObject
|
||||
from karkas_blocks.standard.filters import SimpleAdminFilter as ISimpleAdminFilter
|
||||
|
||||
from .db.tables import SpamLog, VerifiedUsers
|
||||
|
||||
try:
|
||||
register_command = get_module("standard.command_helper", "register_command")
|
||||
@ -14,23 +25,9 @@ except Exception:
|
||||
COMMAND_HELPER_MODULE_LOADED = False
|
||||
pass
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from aiogram.types import Message
|
||||
|
||||
from karkas_blocks.standard.filters import SimpleAdminFilter as ISimpleAdminFilter
|
||||
|
||||
|
||||
async def spam(message: "Message", bot: "Bot"):
|
||||
if not message.reply_to_message:
|
||||
return
|
||||
|
||||
if message.reply_to_message.from_user.id in (message.from_user.id, bot.id):
|
||||
return
|
||||
|
||||
spam_message = message.reply_to_message
|
||||
chat_id = message.chat.id
|
||||
|
||||
message.reply_to_message.media_group_id
|
||||
async def delete_spam(spam_message: "Message", bot: "Bot"):
|
||||
chat_id = spam_message.chat.id
|
||||
|
||||
attachments = {
|
||||
"version": 1,
|
||||
@ -52,11 +49,6 @@ async def spam(message: "Message", bot: "Bot"):
|
||||
message_id=spam_message.message_id,
|
||||
)
|
||||
|
||||
await bot.delete_message(
|
||||
chat_id=chat_id,
|
||||
message_id=message.message_id,
|
||||
)
|
||||
|
||||
await bot.ban_chat_member(
|
||||
chat_id=chat_id,
|
||||
user_id=spam_message.from_user.id,
|
||||
@ -65,18 +57,172 @@ async def spam(message: "Message", bot: "Bot"):
|
||||
await SpamLog.insert(spam_log)
|
||||
|
||||
|
||||
async def delete_spam_by_request(message: "Message", bot: "Bot"):
|
||||
if not message.reply_to_message:
|
||||
return
|
||||
|
||||
if message.reply_to_message.from_user.id in (message.from_user.id, bot.id):
|
||||
return
|
||||
|
||||
await delete_spam(message.reply_to_message)
|
||||
|
||||
await bot.delete_message(
|
||||
chat_id=message.chat.id,
|
||||
message_id=message.message_id,
|
||||
)
|
||||
|
||||
|
||||
config: "IConfig" = get_module("standard.config", "config")
|
||||
|
||||
try:
|
||||
get_user_stats = get_module("standard.statistics", "get_user_stats")
|
||||
|
||||
import torch
|
||||
import torch.nn.functional as F
|
||||
from transformers import AutoModelForSequenceClassification, AutoTokenizer
|
||||
|
||||
USER_STATS_AVAILABLE = True
|
||||
except Exception:
|
||||
log("User stats not available, so Spam detection not will work")
|
||||
USER_STATS_AVAILABLE = False
|
||||
pass
|
||||
|
||||
tokenizer = None
|
||||
model = None
|
||||
|
||||
|
||||
def spam_detection_init():
|
||||
if not USER_STATS_AVAILABLE:
|
||||
return
|
||||
|
||||
# Загрузка модели и токенизатора
|
||||
model_path = config.get("spam::spam_detection::model")
|
||||
|
||||
global tokenizer, model
|
||||
|
||||
tokenizer = AutoTokenizer.from_pretrained(model_path)
|
||||
model = AutoModelForSequenceClassification.from_pretrained(model_path)
|
||||
|
||||
|
||||
def spam_predict(text):
|
||||
if not USER_STATS_AVAILABLE:
|
||||
return
|
||||
|
||||
# Токенизация текста
|
||||
inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=256)
|
||||
|
||||
# Отключаем градиенты для ускорения и экономии памяти
|
||||
with torch.no_grad():
|
||||
outputs = model(**inputs)
|
||||
logits = outputs.logits
|
||||
|
||||
# Преобразование логитов в вероятности с помощью softmax
|
||||
probabilities = F.softmax(logits, dim=1)
|
||||
# Находим индекс класса с максимальной вероятностью
|
||||
predicted_class = torch.argmax(probabilities, dim=1).item()
|
||||
# Извлекаем вероятность предсказанного класса
|
||||
confidence = probabilities[0, predicted_class].item()
|
||||
# Возвращаем предсказанную метку и уверенность
|
||||
return (predicted_class == 1, confidence)
|
||||
|
||||
|
||||
class SpamDetectionMiddleware(BaseMiddleware):
|
||||
async def __call__(
|
||||
self,
|
||||
handler: Callable[["TelegramObject", Dict[str, Any]], Awaitable[Any]],
|
||||
event: "Message",
|
||||
data: Dict[str, Any],
|
||||
) -> Any:
|
||||
if USER_STATS_AVAILABLE and event.text:
|
||||
stats = await get_user_stats(event.chat.id, event.from_user.id)
|
||||
|
||||
verified_users_row = (
|
||||
await VerifiedUsers.select(VerifiedUsers.verified)
|
||||
.where(
|
||||
VerifiedUsers.key == f"{event.chat.id}-{event.from_user.id}",
|
||||
)
|
||||
.first()
|
||||
)
|
||||
|
||||
if verified_users_row:
|
||||
if not verified_users_row["verified"]:
|
||||
if event.text:
|
||||
is_spam, confidence = spam_predict(event.text)
|
||||
log(f"{event.text} is {is_spam} with confidence {confidence}")
|
||||
if is_spam:
|
||||
if confidence >= config.get(
|
||||
"spam::spam_detection::confidence"
|
||||
):
|
||||
await delete_spam(event, event.bot)
|
||||
return
|
||||
if stats["messages_count"] > config.get(
|
||||
"spam::spam_detection::check_messages_count"
|
||||
):
|
||||
await VerifiedUsers.update(
|
||||
{VerifiedUsers.verified: True}
|
||||
).where(
|
||||
VerifiedUsers.key
|
||||
== f"{event.chat.id}-{event.from_user.id}",
|
||||
)
|
||||
|
||||
result = await handler(event, data)
|
||||
|
||||
return result
|
||||
|
||||
|
||||
joinFilter = ChatMemberUpdatedFilter(JOIN_TRANSITION)
|
||||
|
||||
|
||||
class ChatMemberMiddleware(BaseMiddleware):
|
||||
async def __call__(
|
||||
self,
|
||||
handler: Callable[["TelegramObject", Dict[str, Any]], Awaitable[Any]],
|
||||
event: "ChatMemberUpdated",
|
||||
data: Dict[str, Any],
|
||||
) -> Any:
|
||||
|
||||
if await joinFilter(event):
|
||||
await VerifiedUsers.insert(
|
||||
VerifiedUsers(
|
||||
key=f"{event.chat.id}-{event.new_chat_member.user.id}",
|
||||
verified=False,
|
||||
)
|
||||
)
|
||||
|
||||
result = await handler(event, data)
|
||||
return result
|
||||
|
||||
|
||||
def module_init():
|
||||
config.register("spam::spam_detection::enabled", "boolean", default_value=True)
|
||||
|
||||
config.register(
|
||||
"spam::spam_detection::check_messages_count", "int", default_value=5
|
||||
)
|
||||
|
||||
config.register("spam::spam_detection::confidence", "float", default_value=0.9)
|
||||
|
||||
config.register(
|
||||
"spam::spam_detection::model", "string", default_value="RUSpam/spam_deberta_v4"
|
||||
)
|
||||
|
||||
register_outer_message_middleware(SpamDetectionMiddleware())
|
||||
register_outer_chat_member_middleware(ChatMemberMiddleware())
|
||||
|
||||
register_app_config = get_module("standard.database", "register_app_config")
|
||||
SimpleAdminFilter: "Type[ISimpleAdminFilter]" = get_module(
|
||||
"standard.filters", "SimpleAdminFilter"
|
||||
)
|
||||
|
||||
from .db import APP_CONFIG
|
||||
|
||||
register_app_config(APP_CONFIG)
|
||||
|
||||
router = Router()
|
||||
|
||||
router.message.register(spam, SimpleAdminFilter(), Command("spam"))
|
||||
router.message.register(
|
||||
delete_spam_by_request, SimpleAdminFilter(), Command("spam")
|
||||
)
|
||||
|
||||
register_router(router)
|
||||
|
||||
@ -87,3 +233,7 @@ def module_init():
|
||||
long_description="Удалить спам и забанить пользователя. "
|
||||
"Собирает обезличенные данные для дальнейшего создания алгоритма",
|
||||
)
|
||||
|
||||
|
||||
def module_late_init():
|
||||
spam_detection_init()
|
||||
|
||||
@ -1,12 +1,21 @@
|
||||
from typing import TYPE_CHECKING
|
||||
|
||||
from karkas_core.modules_system.public_api import (
|
||||
get_module,
|
||||
register_outer_message_middleware,
|
||||
)
|
||||
|
||||
from .main import StatisticsMiddleware
|
||||
from .main import StatisticsMiddleware, get_user_stats
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from karkas_blocks.standard.config import IConfig
|
||||
|
||||
config: "IConfig" = get_module("standard.config", "config")
|
||||
|
||||
|
||||
def module_init():
|
||||
config.register("statistics::save_messages", "boolean", default_value=False)
|
||||
|
||||
register_app_config = get_module("standard.database", "register_app_config")
|
||||
from .db import APP_CONFIG
|
||||
|
||||
|
||||
@ -1,9 +1,9 @@
|
||||
from piccolo.apps.migrations.auto.migration_manager import MigrationManager
|
||||
from piccolo.columns.column_types import Date, Integer, Text
|
||||
from piccolo.columns.defaults.date import DateNow
|
||||
from piccolo.columns.column_types import Integer, Text, Timestamptz
|
||||
from piccolo.columns.defaults.timestamptz import TimestamptzNow
|
||||
from piccolo.columns.indexes import IndexMethod
|
||||
|
||||
ID = "2024-08-20T16:28:38:371951"
|
||||
ID = "2024-10-08T16:38:25:584922"
|
||||
VERSION = "1.16.0"
|
||||
DESCRIPTION = ""
|
||||
|
||||
@ -13,18 +13,81 @@ async def forwards():
|
||||
migration_id=ID, app_name="standard.statistics", description=DESCRIPTION
|
||||
)
|
||||
|
||||
manager.add_table(
|
||||
class_name="Messages", tablename="messages", schema=None, columns=None
|
||||
)
|
||||
|
||||
manager.add_table(
|
||||
class_name="ChatStats", tablename="chat_stats", schema=None, columns=None
|
||||
)
|
||||
|
||||
manager.add_table(
|
||||
class_name="Messages", tablename="messages", schema=None, columns=None
|
||||
)
|
||||
|
||||
manager.add_table(
|
||||
class_name="UserStats", tablename="user_stats", schema=None, columns=None
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="ChatStats",
|
||||
tablename="chat_stats",
|
||||
column_name="chat_id",
|
||||
db_column_name="chat_id",
|
||||
column_class_name="Integer",
|
||||
column_class=Integer,
|
||||
params={
|
||||
"default": 0,
|
||||
"null": False,
|
||||
"primary_key": True,
|
||||
"unique": False,
|
||||
"index": False,
|
||||
"index_method": IndexMethod.btree,
|
||||
"choices": None,
|
||||
"db_column_name": None,
|
||||
"secret": False,
|
||||
},
|
||||
schema=None,
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="ChatStats",
|
||||
tablename="chat_stats",
|
||||
column_name="date",
|
||||
db_column_name="date",
|
||||
column_class_name="Timestamptz",
|
||||
column_class=Timestamptz,
|
||||
params={
|
||||
"default": TimestamptzNow(),
|
||||
"null": False,
|
||||
"primary_key": False,
|
||||
"unique": False,
|
||||
"index": False,
|
||||
"index_method": IndexMethod.btree,
|
||||
"choices": None,
|
||||
"db_column_name": None,
|
||||
"secret": False,
|
||||
},
|
||||
schema=None,
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="ChatStats",
|
||||
tablename="chat_stats",
|
||||
column_name="messages_count",
|
||||
db_column_name="messages_count",
|
||||
column_class_name="Integer",
|
||||
column_class=Integer,
|
||||
params={
|
||||
"default": 0,
|
||||
"null": False,
|
||||
"primary_key": False,
|
||||
"unique": False,
|
||||
"index": False,
|
||||
"index_method": IndexMethod.btree,
|
||||
"choices": None,
|
||||
"db_column_name": None,
|
||||
"secret": False,
|
||||
},
|
||||
schema=None,
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="Messages",
|
||||
tablename="messages",
|
||||
@ -151,69 +214,6 @@ async def forwards():
|
||||
schema=None,
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="ChatStats",
|
||||
tablename="chat_stats",
|
||||
column_name="chat_id",
|
||||
db_column_name="chat_id",
|
||||
column_class_name="Integer",
|
||||
column_class=Integer,
|
||||
params={
|
||||
"default": 0,
|
||||
"null": False,
|
||||
"primary_key": True,
|
||||
"unique": False,
|
||||
"index": False,
|
||||
"index_method": IndexMethod.btree,
|
||||
"choices": None,
|
||||
"db_column_name": None,
|
||||
"secret": False,
|
||||
},
|
||||
schema=None,
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="ChatStats",
|
||||
tablename="chat_stats",
|
||||
column_name="date",
|
||||
db_column_name="date",
|
||||
column_class_name="Date",
|
||||
column_class=Date,
|
||||
params={
|
||||
"default": DateNow(),
|
||||
"null": False,
|
||||
"primary_key": False,
|
||||
"unique": False,
|
||||
"index": False,
|
||||
"index_method": IndexMethod.btree,
|
||||
"choices": None,
|
||||
"db_column_name": None,
|
||||
"secret": False,
|
||||
},
|
||||
schema=None,
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="ChatStats",
|
||||
tablename="chat_stats",
|
||||
column_name="messages_count",
|
||||
db_column_name="messages_count",
|
||||
column_class_name="Integer",
|
||||
column_class=Integer,
|
||||
params={
|
||||
"default": 0,
|
||||
"null": False,
|
||||
"primary_key": False,
|
||||
"unique": False,
|
||||
"index": False,
|
||||
"index_method": IndexMethod.btree,
|
||||
"choices": None,
|
||||
"db_column_name": None,
|
||||
"secret": False,
|
||||
},
|
||||
schema=None,
|
||||
)
|
||||
|
||||
manager.add_column(
|
||||
table_class_name="UserStats",
|
||||
tablename="user_stats",
|
||||
@ -282,10 +282,10 @@ async def forwards():
|
||||
tablename="user_stats",
|
||||
column_name="date",
|
||||
db_column_name="date",
|
||||
column_class_name="Date",
|
||||
column_class=Date,
|
||||
column_class_name="Timestamptz",
|
||||
column_class=Timestamptz,
|
||||
params={
|
||||
"default": DateNow(),
|
||||
"default": TimestamptzNow(),
|
||||
"null": False,
|
||||
"primary_key": False,
|
||||
"unique": False,
|
||||
@ -1,10 +1,10 @@
|
||||
from piccolo.columns import Date, Integer, Text
|
||||
from piccolo.columns import Integer, Text, Timestamptz
|
||||
from piccolo.table import Table
|
||||
|
||||
|
||||
class ChatStats(Table):
|
||||
chat_id = Integer(primary_key=True)
|
||||
date = Date()
|
||||
date = Timestamptz()
|
||||
messages_count = Integer(default=0)
|
||||
|
||||
|
||||
@ -29,5 +29,5 @@ class UserStats(Table):
|
||||
|
||||
chat_id = Integer()
|
||||
user_id = Integer()
|
||||
date = Date()
|
||||
date = Timestamptz()
|
||||
messages_count = Integer(default=0)
|
||||
|
||||
@ -7,6 +7,7 @@
|
||||
"privileged": true,
|
||||
"dependencies": {
|
||||
"required": {
|
||||
"standard.config": "^1.0.0",
|
||||
"standard.database": "^1.0.0"
|
||||
}
|
||||
},
|
||||
|
||||
@ -7,6 +7,12 @@ from .db.tables import ChatStats, Messages, UserStats
|
||||
if TYPE_CHECKING:
|
||||
from aiogram.types import Message, TelegramObject
|
||||
|
||||
from karkas_blocks.standard.config import IConfig
|
||||
|
||||
from karkas_core.modules_system.public_api import get_module
|
||||
|
||||
config: "IConfig" = get_module("standard.config", "config")
|
||||
|
||||
|
||||
async def update_chat_stats(event: "Message"):
|
||||
await ChatStats.insert(
|
||||
@ -53,6 +59,12 @@ async def save_messages(event: "Message"):
|
||||
)
|
||||
|
||||
|
||||
async def get_user_stats(chat_id: int, user_id: int):
|
||||
return (
|
||||
await UserStats.select().where(UserStats.key == f"{chat_id}-{user_id}").first()
|
||||
)
|
||||
|
||||
|
||||
class StatisticsMiddleware(BaseMiddleware):
|
||||
async def __call__(
|
||||
self,
|
||||
@ -63,7 +75,9 @@ class StatisticsMiddleware(BaseMiddleware):
|
||||
|
||||
await update_chat_stats(event)
|
||||
await update_user_stats(event)
|
||||
await save_messages(event)
|
||||
|
||||
if config.get("statistics::save_messages"):
|
||||
await save_messages(event)
|
||||
|
||||
result = await handler(event, data)
|
||||
|
||||
|
||||
1769
src/karkas_blocks/poetry.lock
generated
1769
src/karkas_blocks/poetry.lock
generated
File diff suppressed because it is too large
Load Diff
@ -17,9 +17,17 @@ dash = "^2.17.1"
|
||||
dash-extensions = "^1.0.18"
|
||||
dash-bootstrap-components = "^1.6.0"
|
||||
|
||||
torch = { version = "^2.0", source="pytorch-cpu" }
|
||||
transformers = "^4.45.2"
|
||||
|
||||
[tool.poetry-monorepo.deps]
|
||||
enabled = true
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[[tool.poetry.source]]
|
||||
name = "pytorch-cpu"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
priority = "explicit"
|
||||
|
||||
@ -43,6 +43,9 @@ class Karkas:
|
||||
for middleware in singleton.storage["_outer_message_middlewares"]:
|
||||
singleton.dp.message.outer_middleware.register(middleware)
|
||||
|
||||
for middleware in singleton.storage["_outer_chat_member_middlewares"]:
|
||||
singleton.dp.chat_member.outer_middleware.register(middleware)
|
||||
|
||||
await singleton.modules_manager.late_init()
|
||||
|
||||
except Exception:
|
||||
|
||||
@ -5,6 +5,7 @@ from .public_api import (
|
||||
get_fsm_context,
|
||||
get_metainfo,
|
||||
get_module,
|
||||
register_outer_chat_member_middleware,
|
||||
register_outer_message_middleware,
|
||||
register_router,
|
||||
set_chat_menu_button,
|
||||
|
||||
@ -28,6 +28,11 @@ def register_outer_message_middleware(middleware: "BaseMiddleware"):
|
||||
app.storage["_outer_message_middlewares"].append(middleware)
|
||||
|
||||
|
||||
def register_outer_chat_member_middleware(middleware: "BaseMiddleware"):
|
||||
app = Singleton()
|
||||
app.storage["_outer_chat_member_middlewares"].append(middleware)
|
||||
|
||||
|
||||
def get_metainfo():
|
||||
app = Singleton()
|
||||
return app.storage["metainfo"].copy()
|
||||
|
||||
@ -26,5 +26,6 @@ class Singleton(metaclass=SingletonMeta):
|
||||
"_fsm_storage": MemoryStorage(),
|
||||
"_routers": [],
|
||||
"_outer_message_middlewares": [],
|
||||
"_outer_chat_member_middlewares": [],
|
||||
"metainfo": {},
|
||||
}
|
||||
|
||||
684
src/karkas_core/poetry.lock
generated
684
src/karkas_core/poetry.lock
generated
@ -609,6 +609,22 @@ typer = ">=0.12.3"
|
||||
[package.extras]
|
||||
standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "filelock"
|
||||
version = "3.16.1"
|
||||
description = "A platform independent file lock."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
|
||||
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|
||||
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|
||||
|
||||
[package.extras]
|
||||
docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
|
||||
testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
|
||||
typing = ["typing-extensions (>=4.12.2)"]
|
||||
|
||||
[[package]]
|
||||
name = "flask"
|
||||
version = "3.0.3"
|
||||
@ -732,6 +748,45 @@ files = [
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||||
{file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "fsspec"
|
||||
version = "2024.9.0"
|
||||
description = "File-system specification"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
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{file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"},
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||||
]
|
||||
|
||||
[package.extras]
|
||||
abfs = ["adlfs"]
|
||||
adl = ["adlfs"]
|
||||
arrow = ["pyarrow (>=1)"]
|
||||
dask = ["dask", "distributed"]
|
||||
dev = ["pre-commit", "ruff"]
|
||||
doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
|
||||
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)"]
|
||||
libarchive = ["libarchive-c"]
|
||||
oci = ["ocifs"]
|
||||
s3 = ["s3fs"]
|
||||
sftp = ["paramiko"]
|
||||
smb = ["smbprotocol"]
|
||||
ssh = ["paramiko"]
|
||||
test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
|
||||
test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
|
||||
test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
|
||||
tqdm = ["tqdm"]
|
||||
|
||||
[[package]]
|
||||
name = "h11"
|
||||
version = "0.14.0"
|
||||
@ -862,6 +917,40 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
|
||||
http2 = ["h2 (>=3,<5)"]
|
||||
socks = ["socksio (==1.*)"]
|
||||
|
||||
[[package]]
|
||||
name = "huggingface-hub"
|
||||
version = "0.25.1"
|
||||
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
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|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
fsspec = ">=2023.5.0"
|
||||
packaging = ">=20.9"
|
||||
pyyaml = ">=5.1"
|
||||
requests = "*"
|
||||
tqdm = ">=4.42.1"
|
||||
typing-extensions = ">=3.7.4.3"
|
||||
|
||||
[package.extras]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
|
||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "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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||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
@ -988,6 +1077,8 @@ dash-extensions = "^1.0.18"
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||||
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|
||||
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|
||||
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|
||||
torch = "^2.0"
|
||||
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||||
|
||||
[package.source]
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@ -1141,6 +1232,23 @@ files = [
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||||
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|
||||
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|
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|
||||
|
||||
[[package]]
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|
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|
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|
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|
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||||
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||||
[package.dependencies]
|
||||
huggingface-hub = ">=0.16.4,<1.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["tokenizers[testing]"]
|
||||
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
|
||||
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.0.1"
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||||
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||||
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||||
|
||||
[[package]]
|
||||
name = "torch"
|
||||
version = "2.4.1+cpu"
|
||||
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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||||
optional = false
|
||||
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|
||||
{file = "torch-2.4.1+cpu-cp312-cp312-linux_x86_64.whl", hash = "sha256:8800deef0026011d502c0c256cc4b67d002347f63c3a38cd8e45f1f445c61364"},
|
||||
{file = "torch-2.4.1+cpu-cp312-cp312-win_amd64.whl", hash = "sha256:3a570e5c553415cdbddfe679207327b3a3806b21c6adea14fba77684d1619e97"},
|
||||
{file = "torch-2.4.1+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:0c0a7cc4f7c74ff024d5a5e21230a01289b65346b27a626f6c815d94b4b8c955"},
|
||||
{file = "torch-2.4.1+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:330e780f478707478f797fdc82c2a96e9b8c5f60b6f1f57bb6ad1dd5b1e7e97e"},
|
||||
{file = "torch-2.4.1+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:3c99506980a2fb4b634008ccb758f42dd82f93ae2830c1e41f64536e310bf562"},
|
||||
{file = "torch-2.4.1+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:c4f2c3c026e876d4dad7629170ec14fff48c076d6c2ae0e354ab3fdc09024f00"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
fsspec = "*"
|
||||
jinja2 = "*"
|
||||
networkx = "*"
|
||||
sympy = "*"
|
||||
typing-extensions = ">=4.8.0"
|
||||
|
||||
[package.extras]
|
||||
opt-einsum = ["opt-einsum (>=3.3)"]
|
||||
optree = ["optree (>=0.11.0)"]
|
||||
|
||||
[package.source]
|
||||
type = "legacy"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
reference = "pytorch-cpu"
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.66.5"
|
||||
description = "Fast, Extensible Progress Meter"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
|
||||
{file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||
|
||||
[package.extras]
|
||||
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
|
||||
notebook = ["ipywidgets (>=6)"]
|
||||
slack = ["slack-sdk"]
|
||||
telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.45.2"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "transformers-4.45.2-py3-none-any.whl", hash = "sha256:c551b33660cfc815bae1f9f097ecfd1e65be623f13c6ee0dda372bd881460210"},
|
||||
{file = "transformers-4.45.2.tar.gz", hash = "sha256:72bc390f6b203892561f05f86bbfaa0e234aab8e927a83e62b9d92ea7e3ae101"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
huggingface-hub = ">=0.23.2,<1.0"
|
||||
numpy = ">=1.17"
|
||||
packaging = ">=20.0"
|
||||
pyyaml = ">=5.1"
|
||||
regex = "!=2019.12.17"
|
||||
requests = "*"
|
||||
safetensors = ">=0.4.1"
|
||||
tokenizers = ">=0.20,<0.21"
|
||||
tqdm = ">=4.27"
|
||||
|
||||
[package.extras]
|
||||
accelerate = ["accelerate (>=0.26.0)"]
|
||||
agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
|
||||
all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision"]
|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
benchmark = ["optimum-benchmark (>=0.3.0)"]
|
||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.20,<0.21)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
|
||||
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
ftfy = ["ftfy"]
|
||||
integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
|
||||
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)"]
|
||||
modelcreation = ["cookiecutter (==1.7.3)"]
|
||||
natten = ["natten (>=0.14.6,<0.15.0)"]
|
||||
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
||||
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
||||
optuna = ["optuna"]
|
||||
quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
|
||||
ray = ["ray[tune] (>=2.7.0)"]
|
||||
retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
|
||||
ruff = ["ruff (==0.5.1)"]
|
||||
sagemaker = ["sagemaker (>=2.31.0)"]
|
||||
sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
|
||||
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
|
||||
sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
tiktoken = ["blobfile", "tiktoken"]
|
||||
timm = ["timm (<=0.9.16)"]
|
||||
tokenizers = ["tokenizers (>=0.20,<0.21)"]
|
||||
torch = ["accelerate (>=0.26.0)", "torch"]
|
||||
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
|
||||
video = ["av (==9.2.0)", "decord (==0.6.0)"]
|
||||
vision = ["Pillow (>=10.0.1,<=15.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "typer"
|
||||
version = "0.12.3"
|
||||
@ -2195,4 +2877,4 @@ webhook = ["fastapi", "hypercorn"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<3.13"
|
||||
content-hash = "e7b4aaf181c6631a67107a6287162313137c3b564222e33ef5cd1f10052bc3b8"
|
||||
content-hash = "affc5bb22f486c24c52da3f3e205cc45633e590035a6c67e640e5e8ee695078b"
|
||||
|
||||
@ -24,3 +24,8 @@ webhook = ["fastapi", "hypercorn"]
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[[tool.poetry.source]]
|
||||
name = "pytorch-cpu"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
priority = "explicit"
|
||||
|
||||
@ -11,6 +11,7 @@ async def main():
|
||||
block_loader("standard", "config", safe=False),
|
||||
block_loader("standard", "filters", safe=False),
|
||||
block_loader("standard", "database", safe=False),
|
||||
block_loader("standard", "statistics", safe=False),
|
||||
block_loader("standard", "command_helper"),
|
||||
block_loader("standard", "spam", safe=False),
|
||||
block_loader("standard", "report"),
|
||||
|
||||
1365
src/karkas_lite/poetry.lock
generated
1365
src/karkas_lite/poetry.lock
generated
File diff suppressed because it is too large
Load Diff
@ -13,6 +13,11 @@ karkas-core = { extras=["webhook"], path = "../karkas_core", develop = true }
|
||||
karkas-blocks = { path = "../karkas_blocks", develop = true }
|
||||
karkas-piccolo = { path = "../karkas_piccolo", develop = true }
|
||||
|
||||
[[tool.poetry.source]]
|
||||
name = "pytorch-cpu"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
priority = "explicit"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
2
src/karkas_piccolo/poetry.lock
generated
2
src/karkas_piccolo/poetry.lock
generated
@ -1128,4 +1128,4 @@ multidict = ">=4.0"
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<3.13"
|
||||
content-hash = "09dcede77970a369ffb693aa2ae315754a89f17aa8c73487b16b18c962396b58"
|
||||
content-hash = "477a00af04692ed173b408edb826b827a41a2733e9920eb7571d42de5d06c1dc"
|
||||
|
||||
@ -17,3 +17,8 @@ karkas-core = { path = "../karkas_core", develop = true }
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[[tool.poetry.source]]
|
||||
name = "pytorch-cpu"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
priority = "explicit"
|
||||
|
||||
Loading…
Reference in New Issue
Block a user