2786 lines
258 KiB
TOML
2786 lines
258 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 = "0.20.3"
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description = "Accelerate"
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optional = true
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python-versions = ">=3.7.0"
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files = [
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{file = "accelerate-0.20.3-py3-none-any.whl", hash = "sha256:147183e7a2215f7bd45a7af3b986a963daa8a61fa58b0912b9473049e011ad15"},
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{file = "accelerate-0.20.3.tar.gz", hash = "sha256:79a896978c20dac270083d42bf033f4c9a80dcdd6b946f1ca92d8d6d0f0f5ba9"},
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]
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[package.dependencies]
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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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torch = ">=1.6.0"
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[package.extras]
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dev = ["black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.0.241)", "scikit-learn", "scipy", "tqdm", "transformers", "urllib3 (<2.0.0)"]
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quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"]
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rich = ["rich"]
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sagemaker = ["sagemaker"]
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test-dev = ["datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "tqdm", "transformers"]
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test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
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test-trackers = ["comet-ml", "tensorboard", "wandb"]
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testing = ["datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "tqdm", "transformers"]
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[[package]]
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name = "aiohttp"
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version = "3.9.0"
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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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yarl = ">=1.0,<2.0"
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[package.extras]
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speedups = ["Brotli", "aiodns", "brotlicffi"]
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[[package]]
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name = "aiosignal"
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version = "1.3.1"
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description = "aiosignal: a list of registered asynchronous callbacks"
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|
optional = true
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|
python-versions = ">=3.7"
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files = [
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{file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
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]
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[package.dependencies]
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frozenlist = ">=1.1.0"
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[[package]]
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|
name = "async-timeout"
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|
version = "4.0.3"
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|
description = "Timeout context manager for asyncio programs"
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|
optional = true
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python-versions = ">=3.7"
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files = [
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{file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
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]
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[[package]]
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|
name = "attrs"
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|
version = "23.1.0"
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|
description = "Classes Without Boilerplate"
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|
optional = true
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python-versions = ">=3.7"
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files = [
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{file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
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[package.extras]
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|
cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
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|
dev = ["attrs[docs,tests]", "pre-commit"]
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|
docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
|
|
tests = ["attrs[tests-no-zope]", "zope-interface"]
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|
tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
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[[package]]
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|
name = "backoff"
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|
version = "2.2.1"
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|
description = "Function decoration for backoff and retry"
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|
optional = false
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python-versions = ">=3.7,<4.0"
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files = [
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[[package]]
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|
name = "bitsandbytes"
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|
version = "0.41.2.post2"
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|
description = "k-bit optimizers and matrix multiplication routines."
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|
optional = true
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python-versions = "*"
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files = [
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[[package]]
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|
name = "certifi"
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|
version = "2023.11.17"
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|
description = "Python package for providing Mozilla's CA Bundle."
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|
optional = false
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|
python-versions = ">=3.6"
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|
files = [
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{file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
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[[package]]
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|
name = "charset-normalizer"
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|
version = "3.3.2"
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|
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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|
optional = false
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|
python-versions = ">=3.7.0"
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|
files = [
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name = "nvidia-cufft-cu12"
|
|
version = "11.0.2.54"
|
|
description = "CUFFT native runtime libraries"
|
|
optional = true
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
|
|
{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "nvidia-curand-cu12"
|
|
version = "10.3.2.106"
|
|
description = "CURAND native runtime libraries"
|
|
optional = true
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
|
|
{file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "nvidia-cusolver-cu12"
|
|
version = "11.4.5.107"
|
|
description = "CUDA solver native runtime libraries"
|
|
optional = true
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
|
|
{file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
nvidia-cublas-cu12 = "*"
|
|
nvidia-cusparse-cu12 = "*"
|
|
nvidia-nvjitlink-cu12 = "*"
|
|
|
|
[[package]]
|
|
name = "nvidia-cusparse-cu12"
|
|
version = "12.1.0.106"
|
|
description = "CUSPARSE native runtime libraries"
|
|
optional = true
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
|
|
{file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
nvidia-nvjitlink-cu12 = "*"
|
|
|
|
[[package]]
|
|
name = "nvidia-nccl-cu12"
|
|
version = "2.18.1"
|
|
description = "NVIDIA Collective Communication Library (NCCL) Runtime"
|
|
optional = true
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:1a6c4acefcbebfa6de320f412bf7866de856e786e0462326ba1bac40de0b5e71"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "nvidia-nvjitlink-cu12"
|
|
version = "12.3.101"
|
|
description = "Nvidia JIT LTO Library"
|
|
optional = true
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:64335a8088e2b9d196ae8665430bc6a2b7e6ef2eb877a9c735c804bd4ff6467c"},
|
|
{file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-win_amd64.whl", hash = "sha256:1b2e317e437433753530792f13eece58f0aec21a2b05903be7bffe58a606cbd1"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "nvidia-nvtx-cu12"
|
|
version = "12.1.105"
|
|
description = "NVIDIA Tools Extension"
|
|
optional = true
|
|
python-versions = ">=3"
|
|
files = [
|
|
{file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
|
|
{file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "opentelemetry-api"
|
|
version = "1.15.0"
|
|
description = "OpenTelemetry Python API"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "opentelemetry_api-1.15.0-py3-none-any.whl", hash = "sha256:e6c2d2e42140fd396e96edf75a7ceb11073f4efb4db87565a431cc9d0f93f2e0"},
|
|
{file = "opentelemetry_api-1.15.0.tar.gz", hash = "sha256:79ab791b4aaad27acc3dc3ba01596db5b5aac2ef75c70622c6038051d6c2cded"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
deprecated = ">=1.2.6"
|
|
setuptools = ">=16.0"
|
|
|
|
[[package]]
|
|
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"},
|
|
{file = "opentelemetry_exporter_otlp-1.15.0.tar.gz", hash = "sha256:4f7c49751d9720e2e726e13b0bb958ccade4e29122c305d92c033da432c8d2c5"},
|
|
]
|
|
|
|
[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"},
|
|
{file = "opentelemetry_exporter_otlp_proto_grpc-1.15.0.tar.gz", hash = "sha256:844f2a4bb9bcda34e4eb6fe36765e5031aacb36dc60ed88c90fc246942ea26e7"},
|
|
]
|
|
|
|
[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"},
|
|
{file = "opentelemetry_exporter_otlp_proto_http-1.15.0.tar.gz", hash = "sha256:11b2c814249a49b22f6cca7a06b05701f561d577b747f3660dfd67b6eb9daf9c"},
|
|
]
|
|
|
|
[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"},
|
|
{file = "opentelemetry_instrumentation-0.36b0.tar.gz", hash = "sha256:e3ddac9b3b93408ef26c8ecbf38f717042977e16381bb4cd329a5b4cf16998cf"},
|
|
]
|
|
|
|
[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"},
|
|
{file = "opentelemetry_instrumentation_grpc-0.36b0.tar.gz", hash = "sha256:dc89447c9eb6ea868970f6c13b4ffdac182cdd5a41dd215a0f5393ca6375be55"},
|
|
]
|
|
|
|
[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"},
|
|
{file = "opentelemetry_proto-1.15.0.tar.gz", hash = "sha256:9c4008e40ac8cab359daac283fbe7002c5c29c77ea2674ad5626a249e64e0101"},
|
|
]
|
|
|
|
[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"},
|
|
{file = "opentelemetry_sdk-1.15.0.tar.gz", hash = "sha256:98dbffcfeebcbff12c0c974292d6ea603180a145904cf838b1fe4d5c99078425"},
|
|
]
|
|
|
|
[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"},
|
|
{file = "opentelemetry_semantic_conventions-0.36b0.tar.gz", hash = "sha256:829dc221795467d98b773c04096e29be038d77526dc8d6ac76f546fb6279bf01"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "packaging"
|
|
version = "23.2"
|
|
description = "Core utilities for Python packages"
|
|
optional = false
|
|
python-versions = ">=3.7"
|
|
files = [
|
|
{file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
|
|
{file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "pandas"
|
|
version = "2.1.3"
|
|
description = "Powerful data structures for data analysis, time series, and statistics"
|
|
optional = true
|
|
python-versions = ">=3.9"
|
|
files = [
|
|
{file = "pandas-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:acf08a73b5022b479c1be155d4988b72f3020f308f7a87c527702c5f8966d34f"},
|
|
{file = "pandas-2.1.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3cc4469ff0cf9aa3a005870cb49ab8969942b7156e0a46cc3f5abd6b11051dfb"},
|
|
{file = "pandas-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:35172bff95f598cc5866c047f43c7f4df2c893acd8e10e6653a4b792ed7f19bb"},
|
|
{file = "pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59dfe0e65a2f3988e940224e2a70932edc964df79f3356e5f2997c7d63e758b4"},
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|
{file = "pandas-2.1.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0296a66200dee556850d99b24c54c7dfa53a3264b1ca6f440e42bad424caea03"},
|
|
{file = "pandas-2.1.3-cp310-cp310-win_amd64.whl", hash = "sha256:465571472267a2d6e00657900afadbe6097c8e1dc43746917db4dfc862e8863e"},
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{file = "pandas-2.1.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:04d4c58e1f112a74689da707be31cf689db086949c71828ef5da86727cfe3f82"},
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{file = "pandas-2.1.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7fa2ad4ff196768ae63a33f8062e6838efed3a319cf938fdf8b95e956c813042"},
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{file = "pandas-2.1.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4441ac94a2a2613e3982e502ccec3bdedefe871e8cea54b8775992485c5660ef"},
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{file = "pandas-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d5ded6ff28abbf0ea7689f251754d3789e1edb0c4d0d91028f0b980598418a58"},
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{file = "pandas-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:fca5680368a5139d4920ae3dc993eb5106d49f814ff24018b64d8850a52c6ed2"},
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{file = "pandas-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:de21e12bf1511190fc1e9ebc067f14ca09fccfb189a813b38d63211d54832f5f"},
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{file = "pandas-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a5d53c725832e5f1645e7674989f4c106e4b7249c1d57549023ed5462d73b140"},
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{file = "pandas-2.1.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7cf4cf26042476e39394f1f86868d25b265ff787c9b2f0d367280f11afbdee6d"},
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{file = "pandas-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:72c84ec1b1d8e5efcbff5312abe92bfb9d5b558f11e0cf077f5496c4f4a3c99e"},
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{file = "pandas-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f539e113739a3e0cc15176bf1231a553db0239bfa47a2c870283fd93ba4f683"},
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{file = "pandas-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:fc77309da3b55732059e484a1efc0897f6149183c522390772d3561f9bf96c00"},
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{file = "pandas-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:08637041279b8981a062899da0ef47828df52a1838204d2b3761fbd3e9fcb549"},
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{file = "pandas-2.1.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b99c4e51ef2ed98f69099c72c75ec904dd610eb41a32847c4fcbc1a975f2d2b8"},
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{file = "pandas-2.1.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f7ea8ae8004de0381a2376662c0505bb0a4f679f4c61fbfd122aa3d1b0e5f09d"},
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{file = "pandas-2.1.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcd76d67ca2d48f56e2db45833cf9d58f548f97f61eecd3fdc74268417632b8a"},
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{file = "pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1329dbe93a880a3d7893149979caa82d6ba64a25e471682637f846d9dbc10dd2"},
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networkx = "*"
|
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nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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|
nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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|
nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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|
nvidia-nccl-cu12 = {version = "2.18.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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|
nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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|
sympy = "*"
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triton = {version = "2.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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|
typing-extensions = "*"
|
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|
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[package.extras]
|
|
dynamo = ["jinja2"]
|
|
opt-einsum = ["opt-einsum (>=3.3)"]
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|
|
|
[[package]]
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|
name = "tqdm"
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|
version = "4.66.1"
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|
description = "Fast, Extensible Progress Meter"
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|
optional = false
|
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python-versions = ">=3.7"
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files = [
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{file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
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{file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
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]
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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 = "4.33.3"
|
|
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
|
optional = false
|
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python-versions = ">=3.8.0"
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files = [
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{file = "transformers-4.33.3-py3-none-any.whl", hash = "sha256:7150bbf6781ddb3338ce7d74f4d6f557e6c236a0a1dd3de57412214caae7fd71"},
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{file = "transformers-4.33.3.tar.gz", hash = "sha256:8ea7c92310dee7c63b14766ce928218f7a9177960b2487ac018c91ae621af03e"},
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]
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[package.dependencies]
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filelock = "*"
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|
huggingface-hub = ">=0.15.1,<1.0"
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|
numpy = ">=1.17"
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|
packaging = ">=20.0"
|
|
pyyaml = ">=5.1"
|
|
regex = "!=2019.12.17"
|
|
requests = "*"
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|
safetensors = ">=0.3.1"
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|
tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
|
|
tqdm = ">=4.27"
|
|
|
|
[package.extras]
|
|
accelerate = ["accelerate (>=0.20.3)"]
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|
agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.10,!=1.12.0)"]
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all = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
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audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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codecarbon = ["codecarbon (==1.2.0)"]
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deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"]
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deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
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dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
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dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
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dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
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docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
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docs-specific = ["hf-doc-builder"]
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fairscale = ["fairscale (>0.3)"]
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flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
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flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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ftfy = ["ftfy"]
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integrations = ["optuna", "ray[tune]", "sigopt"]
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ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
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modelcreation = ["cookiecutter (==1.7.3)"]
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natten = ["natten (>=0.14.6)"]
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onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
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onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
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optuna = ["optuna"]
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quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (>=0.0.241,<=0.0.259)", "urllib3 (<2.0.0)"]
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ray = ["ray[tune]"]
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retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
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sagemaker = ["sagemaker (>=2.31.0)"]
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sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
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serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"]
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sigopt = ["sigopt"]
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sklearn = ["scikit-learn"]
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speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"]
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tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
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tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
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tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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timm = ["timm"]
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tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
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torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
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torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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torch-vision = ["Pillow (<10.0.0)", "torchvision"]
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torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
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video = ["av (==9.2.0)", "decord (==0.6.0)"]
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vision = ["Pillow (<10.0.0)"]
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[[package]]
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name = "triton"
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version = "2.1.0"
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description = "A language and compiler for custom Deep Learning operations"
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optional = true
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python-versions = "*"
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files = [
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[package.dependencies]
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filelock = "*"
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[package.extras]
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build = ["cmake (>=3.18)", "lit"]
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tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
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tutorials = ["matplotlib", "pandas", "tabulate"]
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[[package]]
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name = "typer"
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version = "0.6.1"
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|
description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
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|
optional = false
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python-versions = ">=3.6"
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files = [
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{file = "typer-0.6.1-py3-none-any.whl", hash = "sha256:54b19e5df18654070a82f8c2aa1da456a4ac16a2a83e6dcd9f170e291c56338e"},
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all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<13.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
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doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)"]
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test = ["black (>=22.3.0,<23.0.0)", "coverage (>=5.2,<6.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<5.4.0)", "pytest-cov (>=2.10.0,<3.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<2.0.0)", "rich (>=10.11.0,<13.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
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[[package]]
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|
name = "typing-extensions"
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version = "4.8.0"
|
|
description = "Backported and Experimental Type Hints for Python 3.8+"
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|
optional = false
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python-versions = ">=3.8"
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files = [
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{file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
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[[package]]
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name = "tzdata"
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|
version = "2023.3"
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description = "Provider of IANA time zone data"
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|
optional = true
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python-versions = ">=2"
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files = [
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{file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
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[[package]]
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name = "yarl"
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version = "1.9.3"
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description = "Yet another URL library"
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optional = true
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python-versions = ">=3.7"
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{file = "yarl-1.9.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b9f9cafaf031c34d95c1528c16b2fa07b710e6056b3c4e2e34e9317072da5d1a"},
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{file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ca6b66f69e30f6e180d52f14d91ac854b8119553b524e0e28d5291a724f0f423"},
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{file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:e0e7e83f31e23c5d00ff618045ddc5e916f9e613d33c5a5823bc0b0a0feb522f"},
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{file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:af52725c7c39b0ee655befbbab5b9a1b209e01bb39128dce0db226a10014aacc"},
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{file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:0ab5baaea8450f4a3e241ef17e3d129b2143e38a685036b075976b9c415ea3eb"},
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{file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6d350388ba1129bc867c6af1cd17da2b197dff0d2801036d2d7d83c2d771a682"},
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{file = "yarl-1.9.3-cp39-cp39-win32.whl", hash = "sha256:e2a16ef5fa2382af83bef4a18c1b3bcb4284c4732906aa69422cf09df9c59f1f"},
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{file = "yarl-1.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:d92d897cb4b4bf915fbeb5e604c7911021a8456f0964f3b8ebbe7f9188b9eabb"},
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{file = "yarl-1.9.3-py3-none-any.whl", hash = "sha256:271d63396460b6607b588555ea27a1a02b717ca2e3f2cf53bdde4013d7790929"},
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{file = "yarl-1.9.3.tar.gz", hash = "sha256:4a14907b597ec55740f63e52d7fee0e9ee09d5b9d57a4f399a7423268e457b57"},
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]
|
|
|
|
[package.dependencies]
|
|
idna = ">=2.0"
|
|
multidict = ">=4.0"
|
|
|
|
[extras]
|
|
accelerate = ["accelerate"]
|
|
bnb = ["bitsandbytes"]
|
|
peft = ["peft"]
|
|
quantize = ["accelerate", "datasets", "texttable"]
|
|
torch = ["torch"]
|
|
|
|
[metadata]
|
|
lock-version = "2.0"
|
|
python-versions = ">=3.9,<3.13"
|
|
content-hash = "cd3fb4b4e4aaf100f6015afa8c9adc28c22e6c0b48752452892dc3d004c1562a"
|