3505 lines
331 KiB
TOML
3505 lines
331 KiB
TOML
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
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[[package]]
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name = "accelerate"
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version = "0.29.3"
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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-0.29.3-py3-none-any.whl", hash = "sha256:99d633d4b6126817c5e554487406748be95c8d1d1e659dd2fd60657e35f532dd"},
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{file = "accelerate-0.29.3.tar.gz", hash = "sha256:1a5a845b06b24b41736b219b2b20fd021ca5dff4070a252445fd6de736e347ac"},
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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", "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", "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", "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 = "3.9.5"
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description = "Async http client/server framework (asyncio)"
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optional = true
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python-versions = ">=3.8"
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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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name = "annotated-types"
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version = "0.6.0"
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description = "Reusable constraint types to use with typing.Annotated"
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python-versions = ">=3.8"
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name = "attrs"
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description = "Classes Without Boilerplate"
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tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
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[[package]]
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torch = "*"
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[package.extras]
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name = "certifi"
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version = "2024.2.2"
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description = "Python package for providing Mozilla's CA Bundle."
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[[package]]
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name = "huggingface-hub"
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description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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[package.dependencies]
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requests = "*"
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[[package]]
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name = "mkl"
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version = "2021.4.0"
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description = "Intel® oneAPI Math Kernel Library"
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optional = true
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[package.dependencies]
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intel-openmp = "==2021.*"
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tbb = "==2021.*"
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[[package]]
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name = "mpmath"
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version = "1.3.0"
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python-versions = ">=3.7"
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files = [
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{file = "opentelemetry_api-1.15.0-py3-none-any.whl", hash = "sha256:e6c2d2e42140fd396e96edf75a7ceb11073f4efb4db87565a431cc9d0f93f2e0"},
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{file = "opentelemetry_api-1.15.0.tar.gz", hash = "sha256:79ab791b4aaad27acc3dc3ba01596db5b5aac2ef75c70622c6038051d6c2cded"},
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]
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[package.dependencies]
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deprecated = ">=1.2.6"
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|
setuptools = ">=16.0"
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|
[[package]]
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|
name = "opentelemetry-exporter-otlp"
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|
version = "1.15.0"
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|
description = "OpenTelemetry Collector Exporters"
|
|
optional = false
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|
python-versions = ">=3.7"
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|
files = [
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{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]
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opentelemetry-exporter-otlp-proto-grpc = "1.15.0"
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|
opentelemetry-exporter-otlp-proto-http = "1.15.0"
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|
|
|
[[package]]
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|
name = "opentelemetry-exporter-otlp-proto-grpc"
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|
version = "1.15.0"
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|
description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
|
|
optional = false
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|
python-versions = ">=3.7"
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|
files = [
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{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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[package.dependencies]
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backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
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googleapis-common-protos = ">=1.52,<2.0"
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grpcio = ">=1.0.0,<2.0.0"
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|
opentelemetry-api = ">=1.12,<2.0"
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|
opentelemetry-proto = "1.15.0"
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|
opentelemetry-sdk = ">=1.12,<2.0"
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|
[package.extras]
|
|
test = ["pytest-grpc"]
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|
|
|
[[package]]
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|
name = "opentelemetry-exporter-otlp-proto-http"
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|
version = "1.15.0"
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|
description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
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|
optional = false
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python-versions = ">=3.7"
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files = [
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{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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[package.dependencies]
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backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
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|
googleapis-common-protos = ">=1.52,<2.0"
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|
opentelemetry-api = ">=1.12,<2.0"
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|
opentelemetry-proto = "1.15.0"
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|
opentelemetry-sdk = ">=1.12,<2.0"
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|
requests = ">=2.7,<3.0"
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|
[package.extras]
|
|
test = ["responses (==0.22.0)"]
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|
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|
[[package]]
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|
name = "opentelemetry-instrumentation"
|
|
version = "0.36b0"
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|
description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
|
|
optional = false
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|
python-versions = ">=3.7"
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|
files = [
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{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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]
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[package.dependencies]
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|
opentelemetry-api = ">=1.4,<2.0"
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|
setuptools = ">=16.0"
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|
wrapt = ">=1.0.0,<2.0.0"
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|
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|
[[package]]
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|
name = "opentelemetry-instrumentation-grpc"
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|
version = "0.36b0"
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|
description = "OpenTelemetry gRPC instrumentation"
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|
optional = false
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|
python-versions = ">=3.7"
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|
files = [
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{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]
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|
opentelemetry-api = ">=1.12,<2.0"
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|
opentelemetry-instrumentation = "0.36b0"
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|
opentelemetry-sdk = ">=1.12,<2.0"
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|
opentelemetry-semantic-conventions = "0.36b0"
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|
wrapt = ">=1.0.0,<2.0.0"
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|
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|
[package.extras]
|
|
instruments = ["grpcio (>=1.27,<2.0)"]
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|
test = ["opentelemetry-instrumentation-grpc[instruments]", "opentelemetry-sdk (>=1.12,<2.0)", "opentelemetry-test-utils (==0.36b0)", "protobuf (>=3.13,<4.0)"]
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[[package]]
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|
name = "opentelemetry-proto"
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|
version = "1.15.0"
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|
description = "OpenTelemetry Python Proto"
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|
optional = false
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|
python-versions = ">=3.7"
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files = [
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{file = "opentelemetry_proto-1.15.0-py3-none-any.whl", hash = "sha256:044b6d044b4d10530f250856f933442b8753a17f94ae37c207607f733fb9a844"},
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[package.dependencies]
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protobuf = ">=3.19,<5.0"
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[[package]]
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|
name = "opentelemetry-sdk"
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|
version = "1.15.0"
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|
description = "OpenTelemetry Python SDK"
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|
optional = false
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python-versions = ">=3.7"
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files = [
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{file = "opentelemetry_sdk-1.15.0-py3-none-any.whl", hash = "sha256:555c533e9837766119bbccc7a80458c9971d853a6f1da683a2246cd5e53b4645"},
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[package.dependencies]
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opentelemetry-api = "1.15.0"
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opentelemetry-semantic-conventions = "0.36b0"
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|
setuptools = ">=16.0"
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|
typing-extensions = ">=3.7.4"
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|
[[package]]
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|
name = "opentelemetry-semantic-conventions"
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|
version = "0.36b0"
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|
description = "OpenTelemetry Semantic Conventions"
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|
optional = false
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|
python-versions = ">=3.7"
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files = [
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{file = "opentelemetry_semantic_conventions-0.36b0-py3-none-any.whl", hash = "sha256:adc05635e87b9d3e007c9f530eed487fc3ef2177d02f82f674f28ebf9aff8243"},
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[[package]]
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name = "outlines"
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|
version = "0.0.36"
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|
description = "Probabilistic Generative Model Programming"
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|
optional = true
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python-versions = ">=3.8"
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files = [
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{file = "outlines-0.0.36-py3-none-any.whl", hash = "sha256:afa02ca5c449c47731fa06af66d13c2f5ee8b30f8b82b4db90e08215d6f111d1"},
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[package.dependencies]
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cloudpickle = "*"
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diskcache = "*"
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interegular = "*"
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jinja2 = "*"
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joblib = "*"
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jsonschema = "*"
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lark = "*"
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nest-asyncio = "*"
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numba = "*"
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numpy = "*"
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pydantic = ">=2.0"
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referencing = "*"
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requests = "*"
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scipy = "*"
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torch = ">=2.1.0"
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transformers = "*"
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[package.extras]
|
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serve = ["fastapi", "pydantic (>=2.0)", "ray (==2.9.0)", "uvicorn", "vllm (>=0.3.0)"]
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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"]
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|
[[package]]
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|
name = "packaging"
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|
version = "24.0"
|
|
description = "Core utilities for Python packages"
|
|
optional = false
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python-versions = ">=3.7"
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files = [
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[[package]]
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|
name = "pandas"
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|
version = "2.2.2"
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description = "Powerful data structures for data analysis, time series, and statistics"
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|
optional = true
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|
python-versions = ">=3.9"
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files = [
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[package.dependencies]
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numpy = [
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{version = ">=1.23.2", markers = "python_version == \"3.11\""},
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{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
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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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name = "peft"
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pyyaml = "*"
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torch = ">=1.13.0"
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name = "referencing"
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description = "JSON Referencing + Python"
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[package.extras]
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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 = "1.13.0"
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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]]
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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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python-versions = ">=3.7"
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]
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[package.dependencies]
|
|
idna = ">=2.0"
|
|
multidict = ">=4.0"
|
|
|
|
[extras]
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|
accelerate = ["accelerate"]
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|
bnb = ["bitsandbytes"]
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|
outlines = ["outlines"]
|
|
peft = ["peft"]
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|
quantize = ["accelerate", "datasets", "texttable"]
|
|
torch = ["torch"]
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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 = "b2a29b0b6e32d0e7043e94b984c5731f2c27c5d95feccbeb80bd890db22d6c4a"
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