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poetry.lock
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# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "accelerate"
version = "0.23.0"
description = "Accelerate"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "accelerate-0.23.0-py3-none-any.whl", hash = "sha256:fba5065ff4e7c8f0a39df50785023703cd9bf8388073aa13c6457920f3bc5225"},
{file = "accelerate-0.23.0.tar.gz", hash = "sha256:2139d219fa9a37773c4279c9afebe9f681f2f29e85a29b0be8d76257bd8e4abe"},
]
[package.dependencies]
huggingface-hub = "*"
numpy = ">=1.17"
packaging = ">=20.0"
psutil = "*"
pyyaml = "*"
torch = ">=1.10.0"
[package.extras]
dev = ["bitsandbytes", "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", "timm", "tqdm", "transformers", "urllib3 (<2.0.0)"]
quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"]
rich = ["rich"]
sagemaker = ["sagemaker"]
test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
test-trackers = ["comet-ml", "tensorboard", "wandb"]
testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
[[package]]
name = "aiofiles"
version = "23.2.1"
description = "File support for asyncio."
optional = false
python-versions = ">=3.7"
files = [
{file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"},
{file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
]
[[package]]
name = "aiohttp"
version = "3.8.6"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.6"
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description = "LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data."
optional = false
python-versions = ">=3.8"
files = [
{file = "farm_haystack-1.21.2-py3-none-any.whl", hash = "sha256:26a09e2563fd9bd5c4deb19bad91d44bcd215459b454d84ccacf8307a85250f8"},
{file = "farm_haystack-1.21.2.tar.gz", hash = "sha256:ebd33c118585435212b5e421e1b5d0e763659db3993f5d505b4f06ccb9ef2f11"},
]
[package.dependencies]
boilerpy3 = "*"
events = "*"
faiss-cpu = {version = ">=1.6.3,<=1.7.2", optional = true, markers = "extra == \"only-faiss\""}
httpx = "*"
huggingface-hub = {version = ">=0.5.0", optional = true, markers = "extra == \"inference\""}
jsonschema = "*"
lazy-imports = "0.3.1"
more-itertools = "*"
networkx = "*"
pandas = "*"
pillow = "*"
platformdirs = "*"
posthog = "*"
prompthub-py = "4.0.0"
psycopg2-binary = {version = "*", optional = true, markers = "platform_system != \"Windows\" and extra == \"sql\""}
pydantic = "<2"
quantulum3 = "*"
rank-bm25 = "*"
requests = "*"
requests-cache = "<1.0.0"
scikit-learn = ">=1.3.0"