1590 lines
138 KiB
TOML
1590 lines
138 KiB
TOML
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
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[[package]]
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name = "accelerate"
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version = "0.19.0"
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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-0.19.0-py3-none-any.whl", hash = "sha256:2866b0bf9fff08f51e6384c95fa96725838b70f1988d1cce42e56b820d8a91dd"},
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{file = "accelerate-0.19.0.tar.gz", hash = "sha256:84920226b9e642e453ef37593ee55b956b08d8200dea4087c546c34e26157e76"},
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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 = "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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{file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
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{file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
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]
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[[package]]
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name = "bitsandbytes"
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version = "0.38.1"
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description = "8-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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{file = "bitsandbytes-0.38.1-py3-none-any.whl", hash = "sha256:5f532e7b1353eb7049ae831da2eb62ed8a1e0444116bd51b9e088a6e0bc7a34a"},
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{file = "bitsandbytes-0.38.1.tar.gz", hash = "sha256:ba95a806b5065ea3263558e188f07eacb32ad691842932fb0d36a879883167ce"},
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]
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[[package]]
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name = "certifi"
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version = "2023.5.7"
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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-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
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{file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
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]
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[[package]]
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name = "charset-normalizer"
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version = "3.1.0"
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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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[extras]
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accelerate = ["accelerate"]
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bnb = ["bitsandbytes"]
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[metadata]
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lock-version = "2.0"
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python-versions = "^3.9"
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content-hash = "54ecacb32d699cb1298c237c4661c1b707f119cf2c27bd54bad7a1ea2ffb8b10"
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