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2948 lines
236 KiB
TOML
2948 lines
236 KiB
TOML
# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
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[[package]]
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name = "accelerate"
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version = "0.17.1"
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description = "Accelerate"
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category = "dev"
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optional = false
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python-versions = ">=3.7.0"
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files = [
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{file = "accelerate-0.17.1-py3-none-any.whl", hash = "sha256:4d1f049c32498694c764cfe657cb4ead523e0eda90ed95e21bb1806ac06ab80b"},
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{file = "accelerate-0.17.1.tar.gz", hash = "sha256:f8ad36e1ce186960bb975bd1627dcb0962c2046658d3ec1617583ebdc598f599"},
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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 = ">=1.4.0"
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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"]
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quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)"]
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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 = "3.8.4"
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description = "Async http client/server framework (asyncio)"
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category = "main"
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optional = false
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python-versions = ">=3.6"
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files = [
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pytz = ">=2021.3"
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|
vine = ">=5.0.0,<6.0"
|
|
|
|
[package.extras]
|
|
arangodb = ["pyArango (>=1.3.2)"]
|
|
auth = ["cryptography"]
|
|
azureblockblob = ["azure-storage-blob (==12.9.0)"]
|
|
brotli = ["brotli (>=1.0.0)", "brotlipy (>=0.7.0)"]
|
|
cassandra = ["cassandra-driver (<3.21.0)"]
|
|
consul = ["python-consul2"]
|
|
cosmosdbsql = ["pydocumentdb (==2.3.2)"]
|
|
couchbase = ["couchbase (>=3.0.0)"]
|
|
couchdb = ["pycouchdb"]
|
|
django = ["Django (>=1.11)"]
|
|
dynamodb = ["boto3 (>=1.9.178)"]
|
|
elasticsearch = ["elasticsearch"]
|
|
eventlet = ["eventlet (>=0.32.0)"]
|
|
gevent = ["gevent (>=1.5.0)"]
|
|
librabbitmq = ["librabbitmq (>=1.5.0)"]
|
|
memcache = ["pylibmc"]
|
|
mongodb = ["pymongo[srv] (>=3.11.1)"]
|
|
msgpack = ["msgpack"]
|
|
pymemcache = ["python-memcached"]
|
|
pyro = ["pyro4"]
|
|
pytest = ["pytest-celery"]
|
|
redis = ["redis (>=3.4.1,!=4.0.0,!=4.0.1)"]
|
|
s3 = ["boto3 (>=1.9.125)"]
|
|
slmq = ["softlayer-messaging (>=1.0.3)"]
|
|
solar = ["ephem"]
|
|
sqlalchemy = ["sqlalchemy"]
|
|
sqs = ["kombu[sqs]"]
|
|
tblib = ["tblib (>=1.3.0)", "tblib (>=1.5.0)"]
|
|
yaml = ["PyYAML (>=3.10)"]
|
|
zookeeper = ["kazoo (>=1.3.1)"]
|
|
zstd = ["zstandard"]
|
|
|
|
[[package]]
|
|
name = "certifi"
|
|
version = "2022.12.7"
|
|
description = "Python package for providing Mozilla's CA Bundle."
|
|
category = "main"
|
|
optional = false
|
|
python-versions = ">=3.6"
|
|
files = [
|
|
{file = "certifi-2022.12.7-py3-none-any.whl", hash = "sha256:4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18"},
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|
{file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "charset-normalizer"
|
|
version = "3.1.0"
|
|
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
|
category = "main"
|
|
optional = false
|
|
python-versions = ">=3.7.0"
|
|
files = [
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|
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[[package]]
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[[package]]
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name = "google-search-results"
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version = "2.4.2"
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description = "Scrape and search localized results from Google, Bing, Baidu, Yahoo, Yandex, Ebay, Homedepot, youtube at scale using SerpApi.com"
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category = "dev"
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optional = false
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[package.dependencies]
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requests = "*"
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[[package]]
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name = "gptcache"
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version = "0.1.11"
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description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."
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category = "main"
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optional = false
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[package.dependencies]
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numpy = "*"
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openai = "*"
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name = "greenlet"
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version = "2.0.2"
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description = "Lightweight in-process concurrent programming"
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category = "main"
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name = "lit"
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description = "A Software Testing Tool"
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]
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[package.dependencies]
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idna = ">=2.0"
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multidict = ">=4.0"
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[[package]]
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name = "zipp"
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version = "3.15.0"
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description = "Backport of pathlib-compatible object wrapper for zip files"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
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{file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
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]
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[package.extras]
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docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
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testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
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[metadata]
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lock-version = "2.0"
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python-versions = "^3.10"
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content-hash = "96765b45b2463979bb11ff352f382da9a54abfc662f4f042f3ea35afc6ac4830"
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