3476 lines
335 KiB
TOML
3476 lines
335 KiB
TOML
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
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[[package]]
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name = "accelerate"
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version = "0.28.0"
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description = "Accelerate"
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optional = true
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python-versions = ">=3.8.0"
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files = [
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{file = "accelerate-0.28.0-py3-none-any.whl", hash = "sha256:8ae25f8a8dc4cf12283842c469113836300545fb0dfa46fef331fb0a2ac8b421"},
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{file = "accelerate-0.28.0.tar.gz", hash = "sha256:32019a49f4b3a85cc179ac4e38e9e2971f1a997dee026be0512816499464c4d5"},
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]
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[package.dependencies]
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huggingface-hub = "*"
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numpy = ">=1.17"
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packaging = ">=20.0"
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psutil = "*"
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pyyaml = "*"
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safetensors = ">=0.3.1"
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torch = ">=1.10.0"
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[package.extras]
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dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed (<0.13.0)", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
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rich = ["rich"]
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sagemaker = ["sagemaker"]
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test-dev = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
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test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
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testing = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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[[package]]
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name = "aiohttp"
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version = "3.9.3"
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description = "Async http client/server framework (asyncio)"
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optional = true
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python-versions = ">=3.8"
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files = [
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]
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[package.dependencies]
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aiosignal = ">=1.1.2"
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async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
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attrs = ">=17.3.0"
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frozenlist = ">=1.1.1"
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multidict = ">=4.5,<7.0"
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]
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[package.dependencies]
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grpcio = ">=1.62.1"
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protobuf = ">=4.21.6,<5.0dev"
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setuptools = "*"
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[[package]]
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name = "hf-transfer"
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version = "0.1.6"
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description = ""
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optional = false
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python-versions = ">=3.7"
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name = "opentelemetry-exporter-otlp"
|
|
version = "1.15.0"
|
|
description = "OpenTelemetry Collector Exporters"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "opentelemetry_exporter_otlp-1.15.0-py3-none-any.whl", hash = "sha256:79f22748b6a54808a0448093dfa189c8490e729f67c134d4c992533d9393b33e"},
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|
{file = "opentelemetry_exporter_otlp-1.15.0.tar.gz", hash = "sha256:4f7c49751d9720e2e726e13b0bb958ccade4e29122c305d92c033da432c8d2c5"},
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|
]
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|
|
|
[package.dependencies]
|
|
opentelemetry-exporter-otlp-proto-grpc = "1.15.0"
|
|
opentelemetry-exporter-otlp-proto-http = "1.15.0"
|
|
|
|
[[package]]
|
|
name = "opentelemetry-exporter-otlp-proto-grpc"
|
|
version = "1.15.0"
|
|
description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "opentelemetry_exporter_otlp_proto_grpc-1.15.0-py3-none-any.whl", hash = "sha256:c2a5492ba7d140109968135d641d06ce3c5bd73c50665f787526065d57d7fd1d"},
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{file = "opentelemetry_exporter_otlp_proto_grpc-1.15.0.tar.gz", hash = "sha256:844f2a4bb9bcda34e4eb6fe36765e5031aacb36dc60ed88c90fc246942ea26e7"},
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]
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|
[package.dependencies]
|
|
backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
|
|
googleapis-common-protos = ">=1.52,<2.0"
|
|
grpcio = ">=1.0.0,<2.0.0"
|
|
opentelemetry-api = ">=1.12,<2.0"
|
|
opentelemetry-proto = "1.15.0"
|
|
opentelemetry-sdk = ">=1.12,<2.0"
|
|
|
|
[package.extras]
|
|
test = ["pytest-grpc"]
|
|
|
|
[[package]]
|
|
name = "opentelemetry-exporter-otlp-proto-http"
|
|
version = "1.15.0"
|
|
description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "opentelemetry_exporter_otlp_proto_http-1.15.0-py3-none-any.whl", hash = "sha256:3ec2a02196c8a54bf5cbf7fe623a5238625638e83b6047a983bdf96e2bbb74c0"},
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{file = "opentelemetry_exporter_otlp_proto_http-1.15.0.tar.gz", hash = "sha256:11b2c814249a49b22f6cca7a06b05701f561d577b747f3660dfd67b6eb9daf9c"},
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]
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|
[package.dependencies]
|
|
backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
|
|
googleapis-common-protos = ">=1.52,<2.0"
|
|
opentelemetry-api = ">=1.12,<2.0"
|
|
opentelemetry-proto = "1.15.0"
|
|
opentelemetry-sdk = ">=1.12,<2.0"
|
|
requests = ">=2.7,<3.0"
|
|
|
|
[package.extras]
|
|
test = ["responses (==0.22.0)"]
|
|
|
|
[[package]]
|
|
name = "opentelemetry-instrumentation"
|
|
version = "0.36b0"
|
|
description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "opentelemetry_instrumentation-0.36b0-py3-none-any.whl", hash = "sha256:83ba4ae7d5292b5b33e0f851cc5c76d8f91196b9b3527800fc13855c33383ac2"},
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|
{file = "opentelemetry_instrumentation-0.36b0.tar.gz", hash = "sha256:e3ddac9b3b93408ef26c8ecbf38f717042977e16381bb4cd329a5b4cf16998cf"},
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|
]
|
|
|
|
[package.dependencies]
|
|
opentelemetry-api = ">=1.4,<2.0"
|
|
setuptools = ">=16.0"
|
|
wrapt = ">=1.0.0,<2.0.0"
|
|
|
|
[[package]]
|
|
name = "opentelemetry-instrumentation-grpc"
|
|
version = "0.36b0"
|
|
description = "OpenTelemetry gRPC instrumentation"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "opentelemetry_instrumentation_grpc-0.36b0-py3-none-any.whl", hash = "sha256:eaa246ed2083c97b13bab2555cb9d170e8433230a31476c4cab8a17fa03380a4"},
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|
{file = "opentelemetry_instrumentation_grpc-0.36b0.tar.gz", hash = "sha256:dc89447c9eb6ea868970f6c13b4ffdac182cdd5a41dd215a0f5393ca6375be55"},
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|
]
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|
|
|
[package.dependencies]
|
|
opentelemetry-api = ">=1.12,<2.0"
|
|
opentelemetry-instrumentation = "0.36b0"
|
|
opentelemetry-sdk = ">=1.12,<2.0"
|
|
opentelemetry-semantic-conventions = "0.36b0"
|
|
wrapt = ">=1.0.0,<2.0.0"
|
|
|
|
[package.extras]
|
|
instruments = ["grpcio (>=1.27,<2.0)"]
|
|
test = ["opentelemetry-instrumentation-grpc[instruments]", "opentelemetry-sdk (>=1.12,<2.0)", "opentelemetry-test-utils (==0.36b0)", "protobuf (>=3.13,<4.0)"]
|
|
|
|
[[package]]
|
|
name = "opentelemetry-proto"
|
|
version = "1.15.0"
|
|
description = "OpenTelemetry Python Proto"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "opentelemetry_proto-1.15.0-py3-none-any.whl", hash = "sha256:044b6d044b4d10530f250856f933442b8753a17f94ae37c207607f733fb9a844"},
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{file = "opentelemetry_proto-1.15.0.tar.gz", hash = "sha256:9c4008e40ac8cab359daac283fbe7002c5c29c77ea2674ad5626a249e64e0101"},
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|
]
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|
|
[package.dependencies]
|
|
protobuf = ">=3.19,<5.0"
|
|
|
|
[[package]]
|
|
name = "opentelemetry-sdk"
|
|
version = "1.15.0"
|
|
description = "OpenTelemetry Python SDK"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "opentelemetry_sdk-1.15.0-py3-none-any.whl", hash = "sha256:555c533e9837766119bbccc7a80458c9971d853a6f1da683a2246cd5e53b4645"},
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{file = "opentelemetry_sdk-1.15.0.tar.gz", hash = "sha256:98dbffcfeebcbff12c0c974292d6ea603180a145904cf838b1fe4d5c99078425"},
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|
]
|
|
|
|
[package.dependencies]
|
|
opentelemetry-api = "1.15.0"
|
|
opentelemetry-semantic-conventions = "0.36b0"
|
|
setuptools = ">=16.0"
|
|
typing-extensions = ">=3.7.4"
|
|
|
|
[[package]]
|
|
name = "opentelemetry-semantic-conventions"
|
|
version = "0.36b0"
|
|
description = "OpenTelemetry Semantic Conventions"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "opentelemetry_semantic_conventions-0.36b0-py3-none-any.whl", hash = "sha256:adc05635e87b9d3e007c9f530eed487fc3ef2177d02f82f674f28ebf9aff8243"},
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{file = "opentelemetry_semantic_conventions-0.36b0.tar.gz", hash = "sha256:829dc221795467d98b773c04096e29be038d77526dc8d6ac76f546fb6279bf01"},
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|
]
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|
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|
[[package]]
|
|
name = "outlines"
|
|
version = "0.0.36"
|
|
description = "Probabilistic Generative Model Programming"
|
|
optional = true
|
|
python-versions = ">=3.8"
|
|
files = [
|
|
{file = "outlines-0.0.36-py3-none-any.whl", hash = "sha256:afa02ca5c449c47731fa06af66d13c2f5ee8b30f8b82b4db90e08215d6f111d1"},
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{file = "outlines-0.0.36.tar.gz", hash = "sha256:3cffb43143548cd78c6061990feb461cffd5479999391b8390471ea839c2d46e"},
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|
]
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|
|
|
[package.dependencies]
|
|
cloudpickle = "*"
|
|
diskcache = "*"
|
|
interegular = "*"
|
|
jinja2 = "*"
|
|
joblib = "*"
|
|
jsonschema = "*"
|
|
lark = "*"
|
|
nest-asyncio = "*"
|
|
numba = "*"
|
|
numpy = "*"
|
|
pydantic = ">=2.0"
|
|
referencing = "*"
|
|
requests = "*"
|
|
scipy = "*"
|
|
torch = ">=2.1.0"
|
|
transformers = "*"
|
|
|
|
[package.extras]
|
|
serve = ["fastapi", "pydantic (>=2.0)", "ray (==2.9.0)", "uvicorn", "vllm (>=0.3.0)"]
|
|
test = ["accelerate", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "huggingface-hub", "llama-cpp-python", "openai (>=1.0.0)", "pre-commit", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "responses", "transformers"]
|
|
|
|
[[package]]
|
|
name = "packaging"
|
|
version = "24.0"
|
|
description = "Core utilities for Python packages"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "packaging-24.0-py3-none-any.whl", hash = "sha256:2ddfb553fdf02fb784c234c7ba6ccc288296ceabec964ad2eae3777778130bc5"},
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{file = "packaging-24.0.tar.gz", hash = "sha256:eb82c5e3e56209074766e6885bb04b8c38a0c015d0a30036ebe7ece34c9989e9"},
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|
]
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|
|
|
[[package]]
|
|
name = "pandas"
|
|
version = "2.2.1"
|
|
description = "Powerful data structures for data analysis, time series, and statistics"
|
|
optional = true
|
|
python-versions = ">=3.9"
|
|
files = [
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|
{file = "pandas-2.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8df8612be9cd1c7797c93e1c5df861b2ddda0b48b08f2c3eaa0702cf88fb5f88"},
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{file = "pandas-2.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0f573ab277252ed9aaf38240f3b54cfc90fff8e5cab70411ee1d03f5d51f3944"},
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{file = "pandas-2.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f02a3a6c83df4026e55b63c1f06476c9aa3ed6af3d89b4f04ea656ccdaaaa359"},
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[package.dependencies]
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|
numpy = [
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{version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
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{version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
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{version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
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]
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python-dateutil = ">=2.8.2"
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|
pytz = ">=2020.1"
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|
tzdata = ">=2022.7"
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[package.extras]
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all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"]
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|
aws = ["s3fs (>=2022.11.0)"]
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|
clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"]
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compression = ["zstandard (>=0.19.0)"]
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|
computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"]
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consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
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excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"]
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feather = ["pyarrow (>=10.0.1)"]
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fss = ["fsspec (>=2022.11.0)"]
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|
gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
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|
hdf5 = ["tables (>=3.8.0)"]
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|
html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
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mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
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|
output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
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parquet = ["pyarrow (>=10.0.1)"]
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all = ["safetensors[jax]", "safetensors[numpy]", "safetensors[paddlepaddle]", "safetensors[pinned-tf]", "safetensors[quality]", "safetensors[testing]", "safetensors[torch]"]
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dev = ["safetensors[all]"]
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jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "safetensors[numpy]"]
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mlx = ["mlx (>=0.0.9)"]
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numpy = ["numpy (>=1.21.6)"]
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paddlepaddle = ["paddlepaddle (>=2.4.1)", "safetensors[numpy]"]
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pinned-tf = ["safetensors[numpy]", "tensorflow (==2.11.0)"]
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quality = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
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tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"]
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testing = ["h5py (>=3.7.0)", "huggingface_hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools_rust (>=1.5.2)"]
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torch = ["safetensors[numpy]", "torch (>=1.10)"]
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[[package]]
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name = "scipy"
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version = "1.12.0"
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description = "Fundamental algorithms for scientific computing in Python"
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optional = false
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python-versions = ">=3.9"
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[package.dependencies]
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numpy = ">=1.22.4,<1.29.0"
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[package.extras]
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dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
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[[package]]
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name = "yarl"
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version = "1.9.4"
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description = "Yet another URL library"
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optional = true
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]
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[package.dependencies]
|
|
idna = ">=2.0"
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|
multidict = ">=4.0"
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|
|
|
[extras]
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accelerate = ["accelerate"]
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|
bnb = ["bitsandbytes"]
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|
outlines = ["outlines"]
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|
peft = ["peft"]
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|
quantize = ["accelerate", "datasets", "texttable"]
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|
torch = ["torch"]
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|
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[metadata]
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lock-version = "2.0"
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python-versions = ">=3.9,<3.13"
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content-hash = "b19c9b3f63778f3fc862907c9377d9389b8d0ea8aa02f69bdba628f4829bc62d"
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