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poetry.lock
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poetry.lock
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# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "absl-py"
version = "2.1.0"
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
optional = false
python-versions = ">=3.7"
files = [
{file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
{file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
]
[[package]]
name = "accelerate"
version = "0.33.0"
description = "Accelerate"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "accelerate-0.33.0-py3-none-any.whl", hash = "sha256:0a7f33d60ba09afabd028d4f0856dd19c5a734b7a596d637d9dd6e3d0eadbaf3"},
{file = "accelerate-0.33.0.tar.gz", hash = "sha256:11ba481ed6ea09191775df55ce464aeeba67a024bd0261a44b77b30fb439e26a"},
]
[package.dependencies]
huggingface-hub = ">=0.21.0"
numpy = ">=1.17,<2.0.0"
packaging = ">=20.0"
psutil = "*"
pyyaml = "*"
safetensors = ">=0.3.1"
torch = ">=1.10.0"
[package.extras]
deepspeed = ["deepspeed (<=0.14.0)"]
dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "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"]
quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
rich = ["rich"]
sagemaker = ["sagemaker"]
test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
[[package]]
name = "adalflow"
version = "0.2.5"
description = "The Library to Build and Auto-optimize LLM Applications"
optional = false
python-versions = ">=3.9, <4.0"
files = []
develop = true
[package.dependencies]
backoff = "^2.2.1"
botocore = "^1.34.149"
colorama = "^0.4.6"
diskcache = "^5.6.3"
jinja2 = "^3.1.3"
jsonlines = "^4.0.0"
nest-asyncio = "^1.6.0"
numpy = "^1.26.4"
python-dotenv = "^1.0.1"
pyyaml = "^6.0.1"
tiktoken = "^0.7.0"
tqdm = "^4.66.4"
[package.extras]
anthropic = ["anthropic (>=0.31.1,<0.32.0)"]
cohere = ["cohere (>=5.5.8,<6.0.0)"]
datasets = []
faiss-cpu = ["faiss-cpu (>=1.8.0,<2.0.0)"]
google-generativeai = ["google-generativeai (>=0.7.2,<0.8.0)"]
groq = ["groq (>=0.9.0,<0.10.0)"]
ollama = ["ollama (>=0.2.1,<0.3.0)"]
openai = ["openai (>=1.12.0,<2.0.0)"]
pgvector = ["pgvector (>=0.3.1,<0.4.0)"]
sqlalchemy = ["sqlalchemy (>=2.0.30,<3.0.0)"]
torch = ["torch (>=2.3.1,<3.0.0)"]
[package.source]
type = "directory"
url = "adalflow"
[[package]]
name = "aiohappyeyeballs"
version = "2.3.5"
description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
files = [
{file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
{file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
]
[[package]]
name = "aiohttp"
version = "3.10.2"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
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