feat: add AssemblyAI components (#3829)
* Add AssemblyAI components * add icons * [autofix.ci] apply automated fixes * Add ruff fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
This commit is contained in:
Patrick Loeber
GitHub
parent
381348456d
commit
c567323413
14 changed files with 1416 additions and 2030 deletions
502
poetry.lock
generated
502
poetry.lock
generated
|
|
@ -242,13 +242,13 @@ vertex = ["google-auth (>=2,<3)"]
|
|||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.4.0"
|
||||
version = "4.5.0"
|
||||
description = "High level compatibility layer for multiple asynchronous event loop implementations"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
|
||||
{file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
|
||||
{file = "anyio-4.5.0-py3-none-any.whl", hash = "sha256:fdeb095b7cc5a5563175eedd926ec4ae55413bb4be5770c424af0ba46ccb4a78"},
|
||||
{file = "anyio-4.5.0.tar.gz", hash = "sha256:c5a275fe5ca0afd788001f58fca1e69e29ce706d746e317d660e21f70c530ef9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -258,9 +258,9 @@ sniffio = ">=1.1"
|
|||
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
|
||||
|
||||
[package.extras]
|
||||
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
|
||||
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
|
||||
trio = ["trio (>=0.23)"]
|
||||
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
|
||||
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
|
||||
trio = ["trio (>=0.26.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "appdirs"
|
||||
|
|
@ -303,13 +303,13 @@ tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
|
|||
|
||||
[[package]]
|
||||
name = "assemblyai"
|
||||
version = "0.26.0"
|
||||
version = "0.33.0"
|
||||
description = "AssemblyAI Python SDK"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "assemblyai-0.26.0-py3-none-any.whl", hash = "sha256:46689abfe1bf9bccd595f65314aab7deec3b4859630f6882099165862d305421"},
|
||||
{file = "assemblyai-0.26.0.tar.gz", hash = "sha256:7cd7cf3231333e9ea14a130b7a72bf710c66c5d1877bbfd68ab13ff546920e33"},
|
||||
{file = "assemblyai-0.33.0-py3-none-any.whl", hash = "sha256:7f5ae220eb33924768c2bbe7312c42bcef59323f9b17c8c82ba083c4e35d1774"},
|
||||
{file = "assemblyai-0.33.0.tar.gz", hash = "sha256:782a53707851c0e4485496d307b7270084146a0e9f6b86b027c17f4f63a8fbf0"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -1295,13 +1295,13 @@ types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency
|
|||
|
||||
[[package]]
|
||||
name = "cohere"
|
||||
version = "5.9.2"
|
||||
version = "5.9.4"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8"
|
||||
files = [
|
||||
{file = "cohere-5.9.2-py3-none-any.whl", hash = "sha256:169ee06b0a54f8a913d42b19123bd72c1a72833275d544a52606d307f5547a7b"},
|
||||
{file = "cohere-5.9.2.tar.gz", hash = "sha256:1860c527b2a8a5593873a342b0bf572220b6db7966c0782076b3f2740ab3d94d"},
|
||||
{file = "cohere-5.9.4-py3-none-any.whl", hash = "sha256:d1b31d8ba32e338b3aa91737aa98dc74de8778ed8e397ab799739b5f060f44e7"},
|
||||
{file = "cohere-5.9.4.tar.gz", hash = "sha256:ed0fa256c51423175c208650dffcb534ae112dc3ab7703de352e2adaf99dd50b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2265,13 +2265,13 @@ weaviate = ["weaviate-client (>=3.24.1,<4.0.0)"]
|
|||
|
||||
[[package]]
|
||||
name = "emoji"
|
||||
version = "2.12.1"
|
||||
version = "2.13.0"
|
||||
description = "Emoji for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "emoji-2.12.1-py3-none-any.whl", hash = "sha256:a00d62173bdadc2510967a381810101624a2f0986145b8da0cffa42e29430235"},
|
||||
{file = "emoji-2.12.1.tar.gz", hash = "sha256:4aa0488817691aa58d83764b6c209f8a27c0b3ab3f89d1b8dceca1a62e4973eb"},
|
||||
{file = "emoji-2.13.0-py3-none-any.whl", hash = "sha256:6c8027f02c448731fd5f13e38521e14594e48e9c5d2c3862f95d086d8aa84a7c"},
|
||||
{file = "emoji-2.13.0.tar.gz", hash = "sha256:e32e46a1b4445dffbc37cc82ea2d0dacb9323b857f14297eba7decaadfb4890e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2525,13 +2525,13 @@ requests = "*"
|
|||
|
||||
[[package]]
|
||||
name = "flaml"
|
||||
version = "2.2.0"
|
||||
version = "2.3.0"
|
||||
description = "A fast library for automated machine learning and tuning"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "FLAML-2.2.0-py3-none-any.whl", hash = "sha256:eb7429801879f66901ec13892ea21a914e3a5a094151b621a924e554637ec4a4"},
|
||||
{file = "flaml-2.2.0.tar.gz", hash = "sha256:edf6bc2b5dda66e035d26048e8e181af8f5a827feffa138e67e712989c939359"},
|
||||
{file = "FLAML-2.3.0-py3-none-any.whl", hash = "sha256:0a2e62d874eab70fcf1321a2a327cd93827b90708f79cbbd1a2cff9f53ad4015"},
|
||||
{file = "flaml-2.3.0.tar.gz", hash = "sha256:2e9bfb66ac328972c4018e588dd6e54ad48a3d4b70d6ee5c3aa721d6bf381215"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2546,9 +2546,9 @@ benchmark = ["catboost (>=0.26)", "pandas (==1.1.4)", "psutil (==5.8.0)", "xgboo
|
|||
blendsearch = ["optuna (>=2.8.0,<=3.6.1)", "packaging"]
|
||||
catboost = ["catboost (>=0.26,<1.2)", "catboost (>=0.26,<=1.2.5)"]
|
||||
forecast = ["hcrystalball (==0.1.10)", "holidays (<0.14)", "prophet (>=1.0.1)", "pytorch-forecasting (>=0.9.0)", "pytorch-lightning (==1.9.0)", "statsmodels (>=0.12.2)", "tensorboardX (==2.6)"]
|
||||
hf = ["datasets", "nltk", "rouge-score", "seqeval", "transformers[torch] (==4.26)"]
|
||||
hf = ["datasets", "nltk (<=3.8.1)", "rouge-score", "seqeval", "transformers[torch] (==4.26)"]
|
||||
mathchat = ["diskcache", "openai (==0.27.8)", "pydantic (==1.10.9)", "sympy", "termcolor", "wolframalpha"]
|
||||
nlp = ["datasets", "nltk", "rouge-score", "seqeval", "transformers[torch] (==4.26)"]
|
||||
nlp = ["datasets", "nltk (<=3.8.1)", "rouge-score", "seqeval", "transformers[torch] (==4.26)"]
|
||||
nni = ["nni"]
|
||||
notebook = ["jupyter"]
|
||||
openai = ["diskcache", "openai (==0.27.8)"]
|
||||
|
|
@ -2556,7 +2556,7 @@ ray = ["ray[tune] (>=1.13,<2.0)"]
|
|||
retrievechat = ["chromadb", "diskcache", "openai (==0.27.8)", "sentence-transformers", "termcolor", "tiktoken"]
|
||||
spark = ["joblib (<=1.3.2)", "joblibspark (>=0.5.0)", "pyspark (>=3.2.0)"]
|
||||
synapse = ["joblibspark (>=0.5.0)", "optuna (>=2.8.0,<=3.6.1)", "pyspark (>=3.2.0)"]
|
||||
test = ["catboost (>=0.26)", "catboost (>=0.26,<1.2)", "coverage (>=5.3)", "dataclasses", "datasets", "hcrystalball (==0.1.10)", "ipykernel", "joblib (<=1.3.2)", "joblibspark (>=0.5.0)", "jupyter", "lightgbm (>=2.3.1)", "mlflow", "nbconvert", "nbformat", "nltk", "openml", "optuna (>=2.8.0,<=3.6.1)", "packaging", "pandas (>=1.1.4)", "pre-commit", "psutil (==5.8.0)", "pydantic (==1.10.9)", "pyspark (>=3.2.0)", "pytest (>=6.1.1)", "pytorch-forecasting (>=0.9.0,<=0.10.1)", "pytorch-lightning (<1.9.1)", "requests (<2.29.0)", "rgf-python", "rouge-score", "scikit-learn (>=1.0.0)", "scipy (>=1.4.1)", "seqeval", "statsmodels (>=0.12.2)", "sympy", "tensorboardX (==2.6)", "thop", "torch", "torchvision", "transformers[torch] (==4.26)", "wolframalpha", "xgboost (>=0.90,<2.0.0)"]
|
||||
test = ["catboost (>=0.26)", "catboost (>=0.26,<1.2)", "coverage (>=5.3)", "dataclasses", "datasets", "dill", "hcrystalball (==0.1.10)", "ipykernel", "joblib (<=1.3.2)", "joblibspark (>=0.5.0)", "jupyter", "lightgbm (>=2.3.1)", "mlflow (==2.15.1)", "nbconvert", "nbformat", "nltk (<=3.8.1)", "openml", "optuna (>=2.8.0,<=3.6.1)", "packaging", "pandas (>=1.1.4)", "pandas (>=1.1.4,<2.0.0)", "pre-commit", "psutil (==5.8.0)", "pydantic (==1.10.9)", "pytest (>=6.1.1)", "pytorch-forecasting (>=0.9.0,<=0.10.1)", "pytorch-lightning (<1.9.1)", "requests (<2.29.0)", "rgf-python", "rouge-score", "scikit-learn (>=1.0.0)", "scipy (>=1.4.1)", "seqeval", "statsmodels (>=0.12.2)", "sympy", "tensorboardX (==2.6)", "thop", "torch", "torchvision", "transformers[torch] (==4.26)", "wolframalpha", "xgboost (>=0.90,<2.0.0)"]
|
||||
ts-forecast = ["hcrystalball (==0.1.10)", "holidays (<0.14)", "prophet (>=1.0.1)", "statsmodels (>=0.12.2)"]
|
||||
vw = ["scikit-learn", "vowpalwabbit (>=8.10.0,<9.0.0)"]
|
||||
|
||||
|
|
@ -2832,13 +2832,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
|
|||
|
||||
[[package]]
|
||||
name = "google-api-core"
|
||||
version = "2.19.2"
|
||||
version = "2.20.0"
|
||||
description = "Google API client core library"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google_api_core-2.19.2-py3-none-any.whl", hash = "sha256:53ec0258f2837dd53bbd3d3df50f5359281b3cc13f800c941dd15a9b5a415af4"},
|
||||
{file = "google_api_core-2.19.2.tar.gz", hash = "sha256:ca07de7e8aa1c98a8bfca9321890ad2340ef7f2eb136e558cee68f24b94b0a8f"},
|
||||
{file = "google_api_core-2.20.0-py3-none-any.whl", hash = "sha256:ef0591ef03c30bb83f79b3d0575c3f31219001fc9c5cf37024d08310aeffed8a"},
|
||||
{file = "google_api_core-2.20.0.tar.gz", hash = "sha256:f74dff1889ba291a4b76c5079df0711810e2d9da81abfdc99957bc961c1eb28f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2881,13 +2881,13 @@ uritemplate = ">=3.0.1,<5"
|
|||
|
||||
[[package]]
|
||||
name = "google-auth"
|
||||
version = "2.34.0"
|
||||
version = "2.35.0"
|
||||
description = "Google Authentication Library"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google_auth-2.34.0-py2.py3-none-any.whl", hash = "sha256:72fd4733b80b6d777dcde515628a9eb4a577339437012874ea286bca7261ee65"},
|
||||
{file = "google_auth-2.34.0.tar.gz", hash = "sha256:8eb87396435c19b20d32abd2f984e31c191a15284af72eb922f10e5bde9c04cc"},
|
||||
{file = "google_auth-2.35.0-py2.py3-none-any.whl", hash = "sha256:25df55f327ef021de8be50bad0dfd4a916ad0de96da86cd05661c9297723ad3f"},
|
||||
{file = "google_auth-2.35.0.tar.gz", hash = "sha256:f4c64ed4e01e8e8b646ef34c018f8bf3338df0c8e37d8b3bba40e7f574a3278a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2937,13 +2937,13 @@ tool = ["click (>=6.0.0)"]
|
|||
|
||||
[[package]]
|
||||
name = "google-cloud-aiplatform"
|
||||
version = "1.66.0"
|
||||
version = "1.67.1"
|
||||
description = "Vertex AI API client library"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "google-cloud-aiplatform-1.66.0.tar.gz", hash = "sha256:e95a2b45087e0e2cbfed9ffaf3f10aa8ef3fa2e5642f067246181b5c7b9b2b04"},
|
||||
{file = "google_cloud_aiplatform-1.66.0-py2.py3-none-any.whl", hash = "sha256:3f7de6aab42f67b933a36bfb1354e36a5256f45780df92ac8b1b6361a145af49"},
|
||||
{file = "google-cloud-aiplatform-1.67.1.tar.gz", hash = "sha256:701a19061c8c670baa93464ca0b8a1a8720494f802187cef06bc9fcf952db315"},
|
||||
{file = "google_cloud_aiplatform-1.67.1-py2.py3-none-any.whl", hash = "sha256:2ff0e1794839fcf74d644f3f54ff2de5d8099b3e388edecc48f6d620c1f3582c"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2960,12 +2960,12 @@ pydantic = "<3"
|
|||
shapely = "<3.0.0dev"
|
||||
|
||||
[package.extras]
|
||||
autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
|
||||
autologging = ["mlflow (>=1.27.0,<=2.16.0)"]
|
||||
cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
|
||||
datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
|
||||
endpoint = ["requests (>=2.28.1)"]
|
||||
evaluation = ["pandas (>=1.0.0,<2.2.0)", "tqdm (>=4.23.0)"]
|
||||
full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
|
||||
full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"]
|
||||
langchain = ["langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "orjson (<=3.10.6)", "tenacity (<=8.3)"]
|
||||
langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "orjson (<=3.10.6)", "pydantic (>=2.6.3,<3)", "pytest-xdist", "tenacity (<=8.3)"]
|
||||
lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
|
||||
|
|
@ -2973,11 +2973,11 @@ metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
|
|||
pipelines = ["pyyaml (>=5.3.1,<7)"]
|
||||
prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.114.0)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
|
||||
private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
|
||||
ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "setuptools (<70.0.0)"]
|
||||
ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train] (==2.9.3)", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
|
||||
ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "setuptools (<70.0.0)"]
|
||||
ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train] (==2.9.3)", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
|
||||
reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"]
|
||||
tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
|
||||
testing = ["bigframes", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
|
||||
testing = ["bigframes", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"]
|
||||
tokenization = ["sentencepiece (>=0.2.0)"]
|
||||
vizier = ["google-vizier (>=0.1.6)"]
|
||||
xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
|
||||
|
|
@ -4513,17 +4513,18 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
|
|||
|
||||
[[package]]
|
||||
name = "kombu"
|
||||
version = "5.4.1"
|
||||
version = "5.4.2"
|
||||
description = "Messaging library for Python."
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "kombu-5.4.1-py3-none-any.whl", hash = "sha256:621d365f234e4c089596f3a2510f1ade07026efc28caca426161d8f458786cab"},
|
||||
{file = "kombu-5.4.1.tar.gz", hash = "sha256:1c05178826dab811f8cab5b0a154d42a7a33d8bcdde9fa3d7b4582e43c3c03db"},
|
||||
{file = "kombu-5.4.2-py3-none-any.whl", hash = "sha256:14212f5ccf022fc0a70453bb025a1dcc32782a588c49ea866884047d66e14763"},
|
||||
{file = "kombu-5.4.2.tar.gz", hash = "sha256:eef572dd2fd9fc614b37580e3caeafdd5af46c1eff31e7fba89138cdb406f2cf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
amqp = ">=5.1.1,<6.0.0"
|
||||
tzdata = {version = "*", markers = "python_version >= \"3.9\""}
|
||||
vine = "5.1.0"
|
||||
|
||||
[package.extras]
|
||||
|
|
@ -4752,13 +4753,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
|
|||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "0.2.40"
|
||||
version = "0.2.41"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langchain_core-0.2.40-py3-none-any.whl", hash = "sha256:71fff5cafa4b9c82a3a716e985f071383be452c35d8cc3169b3a393e6857fc99"},
|
||||
{file = "langchain_core-0.2.40.tar.gz", hash = "sha256:c838ea0c0b73475a8e58ced3e306b6d926ef063721abd164f237c8664916f502"},
|
||||
{file = "langchain_core-0.2.41-py3-none-any.whl", hash = "sha256:3278fda5ba9a05defae8bb19f1226032add6aab21917db7b3bc74e750e263e84"},
|
||||
{file = "langchain_core-0.2.41.tar.gz", hash = "sha256:bc12032c5a298d85be754ccb129bc13ea21ccb1d6e22f8d7ba18b8da64315bb5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -5139,13 +5140,13 @@ url = "src/backend/base"
|
|||
|
||||
[[package]]
|
||||
name = "langfuse"
|
||||
version = "2.49.0"
|
||||
version = "2.50.2"
|
||||
description = "A client library for accessing langfuse"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langfuse-2.49.0-py3-none-any.whl", hash = "sha256:dec6bb3808e1296c28a485047d5cc4e39cbf15122c14f345d9db1fe56921a1d5"},
|
||||
{file = "langfuse-2.49.0.tar.gz", hash = "sha256:b016a751d12d91e33e5a5fca92ffd2d19b0cf16c495cc81697dfc71555793cd3"},
|
||||
{file = "langfuse-2.50.2-py3-none-any.whl", hash = "sha256:27ab9a3d88adf781f3b2f780da7e2de5b57114defa52d55e7c12f44bb89d414d"},
|
||||
{file = "langfuse-2.50.2.tar.gz", hash = "sha256:d2e3584116773612e19eef244bc70bb8024b9490736cc57873bba30b207714f1"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -5164,13 +5165,13 @@ openai = ["openai (>=0.27.8)"]
|
|||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.1.121"
|
||||
version = "0.1.125"
|
||||
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langsmith-0.1.121-py3-none-any.whl", hash = "sha256:fdb1ac8a671d3904201bfeea197d87bded46a10d08f1034af464211872e29893"},
|
||||
{file = "langsmith-0.1.121.tar.gz", hash = "sha256:e9381b82a5bd484af9a51c3e96faea572746b8d617b070c1cda40cbbe48e33df"},
|
||||
{file = "langsmith-0.1.125-py3-none-any.whl", hash = "sha256:74ce8eb2663e1ed20bfcfc88d41e0712879306956c9938d1cdbab7d60458bdca"},
|
||||
{file = "langsmith-0.1.125.tar.gz", hash = "sha256:2c0eb0c3cbf22cff55bf519b8e889041f9a591bcf97af5152c8e130333c5940e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -5229,13 +5230,13 @@ regex = ["regex"]
|
|||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "1.46.2"
|
||||
version = "1.46.8"
|
||||
description = "Library to easily interface with LLM API providers"
|
||||
optional = false
|
||||
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
|
||||
files = [
|
||||
{file = "litellm-1.46.2-py3-none-any.whl", hash = "sha256:eeab985ad8e92bf00befc04f7eb2f160e91c1494b40061d9dea0cff1dde315c8"},
|
||||
{file = "litellm-1.46.2.tar.gz", hash = "sha256:9f9402dca6a03615ac3b30ef47b0d56ae7155b42e44e84053a371c45695b4f1a"},
|
||||
{file = "litellm-1.46.8-py3-none-any.whl", hash = "sha256:112acc854d67ced573dc5d60bbf8b493dea1e61244013685dace8c2d912aa1b3"},
|
||||
{file = "litellm-1.46.8.tar.gz", hash = "sha256:443c67d33e1a264641b80bf170cad1ba42d6fa9816f86df5eaaaf10c1e21b551"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -5778,95 +5779,116 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "mmh3"
|
||||
version = "4.1.0"
|
||||
version = "5.0.0"
|
||||
description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "mmh3-4.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be5ac76a8b0cd8095784e51e4c1c9c318c19edcd1709a06eb14979c8d850c31a"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:98a49121afdfab67cd80e912b36404139d7deceb6773a83620137aaa0da5714c"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5259ac0535874366e7d1a5423ef746e0d36a9e3c14509ce6511614bdc5a7ef5b"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5950827ca0453a2be357696da509ab39646044e3fa15cad364eb65d78797437"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1dd0f652ae99585b9dd26de458e5f08571522f0402155809fd1dc8852a613a39"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99d25548070942fab1e4a6f04d1626d67e66d0b81ed6571ecfca511f3edf07e6"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:53db8d9bad3cb66c8f35cbc894f336273f63489ce4ac416634932e3cbe79eb5b"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75da0f615eb55295a437264cc0b736753f830b09d102aa4c2a7d719bc445ec05"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b926b07fd678ea84b3a2afc1fa22ce50aeb627839c44382f3d0291e945621e1a"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c5b053334f9b0af8559d6da9dc72cef0a65b325ebb3e630c680012323c950bb6"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:5bf33dc43cd6de2cb86e0aa73a1cc6530f557854bbbe5d59f41ef6de2e353d7b"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:fa7eacd2b830727ba3dd65a365bed8a5c992ecd0c8348cf39a05cc77d22f4970"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:42dfd6742b9e3eec599f85270617debfa0bbb913c545bb980c8a4fa7b2d047da"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-win32.whl", hash = "sha256:2974ad343f0d39dcc88e93ee6afa96cedc35a9883bc067febd7ff736e207fa47"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:74699a8984ded645c1a24d6078351a056f5a5f1fe5838870412a68ac5e28d865"},
|
||||
{file = "mmh3-4.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:f0dc874cedc23d46fc488a987faa6ad08ffa79e44fb08e3cd4d4cf2877c00a00"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3280a463855b0eae64b681cd5b9ddd9464b73f81151e87bb7c91a811d25619e6"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:97ac57c6c3301769e757d444fa7c973ceb002cb66534b39cbab5e38de61cd896"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a7b6502cdb4dbd880244818ab363c8770a48cdccecf6d729ade0241b736b5ec0"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:52ba2da04671a9621580ddabf72f06f0e72c1c9c3b7b608849b58b11080d8f14"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5a5fef4c4ecc782e6e43fbeab09cff1bac82c998a1773d3a5ee6a3605cde343e"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5135358a7e00991f73b88cdc8eda5203bf9de22120d10a834c5761dbeb07dd13"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cff9ae76a54f7c6fe0167c9c4028c12c1f6de52d68a31d11b6790bb2ae685560"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6f02576a4d106d7830ca90278868bf0983554dd69183b7bbe09f2fcd51cf54f"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:073d57425a23721730d3ff5485e2da489dd3c90b04e86243dd7211f889898106"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:71e32ddec7f573a1a0feb8d2cf2af474c50ec21e7a8263026e8d3b4b629805db"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:7cbb20b29d57e76a58b40fd8b13a9130db495a12d678d651b459bf61c0714cea"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:a42ad267e131d7847076bb7e31050f6c4378cd38e8f1bf7a0edd32f30224d5c9"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4a013979fc9390abadc445ea2527426a0e7a4495c19b74589204f9b71bcaafeb"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-win32.whl", hash = "sha256:1d3b1cdad7c71b7b88966301789a478af142bddcb3a2bee563f7a7d40519a00f"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:0dc6dc32eb03727467da8e17deffe004fbb65e8b5ee2b502d36250d7a3f4e2ec"},
|
||||
{file = "mmh3-4.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:9ae3a5c1b32dda121c7dc26f9597ef7b01b4c56a98319a7fe86c35b8bc459ae6"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0033d60c7939168ef65ddc396611077a7268bde024f2c23bdc283a19123f9e9c"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d6af3e2287644b2b08b5924ed3a88c97b87b44ad08e79ca9f93d3470a54a41c5"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d82eb4defa245e02bb0b0dc4f1e7ee284f8d212633389c91f7fba99ba993f0a2"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba245e94b8d54765e14c2d7b6214e832557e7856d5183bc522e17884cab2f45d"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bb04e2feeabaad6231e89cd43b3d01a4403579aa792c9ab6fdeef45cc58d4ec0"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1e3b1a27def545ce11e36158ba5d5390cdbc300cfe456a942cc89d649cf7e3b2"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce0ab79ff736d7044e5e9b3bfe73958a55f79a4ae672e6213e92492ad5e734d5"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b02268be6e0a8eeb8a924d7db85f28e47344f35c438c1e149878bb1c47b1cd3"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:deb887f5fcdaf57cf646b1e062d56b06ef2f23421c80885fce18b37143cba828"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:99dd564e9e2b512eb117bd0cbf0f79a50c45d961c2a02402787d581cec5448d5"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:08373082dfaa38fe97aa78753d1efd21a1969e51079056ff552e687764eafdfe"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:54b9c6a2ea571b714e4fe28d3e4e2db37abfd03c787a58074ea21ee9a8fd1740"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a7b1edf24c69e3513f879722b97ca85e52f9032f24a52284746877f6a7304086"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-win32.whl", hash = "sha256:411da64b951f635e1e2284b71d81a5a83580cea24994b328f8910d40bed67276"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:bebc3ecb6ba18292e3d40c8712482b4477abd6981c2ebf0e60869bd90f8ac3a9"},
|
||||
{file = "mmh3-4.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:168473dd608ade6a8d2ba069600b35199a9af837d96177d3088ca91f2b3798e3"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:372f4b7e1dcde175507640679a2a8790185bb71f3640fc28a4690f73da986a3b"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:438584b97f6fe13e944faf590c90fc127682b57ae969f73334040d9fa1c7ffa5"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6e27931b232fc676675fac8641c6ec6b596daa64d82170e8597f5a5b8bdcd3b6"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:571a92bad859d7b0330e47cfd1850b76c39b615a8d8e7aa5853c1f971fd0c4b1"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4a69d6afe3190fa08f9e3a58e5145549f71f1f3fff27bd0800313426929c7068"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:afb127be0be946b7630220908dbea0cee0d9d3c583fa9114a07156f98566dc28"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:940d86522f36348ef1a494cbf7248ab3f4a1638b84b59e6c9e90408bd11ad729"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3dcccc4935686619a8e3d1f7b6e97e3bd89a4a796247930ee97d35ea1a39341"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:01bb9b90d61854dfc2407c5e5192bfb47222d74f29d140cb2dd2a69f2353f7cc"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:bcb1b8b951a2c0b0fb8a5426c62a22557e2ffc52539e0a7cc46eb667b5d606a9"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:6477a05d5e5ab3168e82e8b106e316210ac954134f46ec529356607900aea82a"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:da5892287e5bea6977364b15712a2573c16d134bc5fdcdd4cf460006cf849278"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:99180d7fd2327a6fffbaff270f760576839dc6ee66d045fa3a450f3490fda7f5"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-win32.whl", hash = "sha256:9b0d4f3949913a9f9a8fb1bb4cc6ecd52879730aab5ff8c5a3d8f5b593594b73"},
|
||||
{file = "mmh3-4.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:598c352da1d945108aee0c3c3cfdd0e9b3edef74108f53b49d481d3990402169"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:475d6d1445dd080f18f0f766277e1237fa2914e5fe3307a3b2a3044f30892103"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5ca07c41e6a2880991431ac717c2a049056fff497651a76e26fc22224e8b5732"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0ebe052fef4bbe30c0548d12ee46d09f1b69035ca5208a7075e55adfe091be44"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eaefd42e85afb70f2b855a011f7b4d8a3c7e19c3f2681fa13118e4d8627378c5"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac0ae43caae5a47afe1b63a1ae3f0986dde54b5fb2d6c29786adbfb8edc9edfb"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6218666f74c8c013c221e7f5f8a693ac9cf68e5ac9a03f2373b32d77c48904de"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ac59294a536ba447b5037f62d8367d7d93b696f80671c2c45645fa9f1109413c"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:086844830fcd1e5c84fec7017ea1ee8491487cfc877847d96f86f68881569d2e"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e42b38fad664f56f77f6fbca22d08450f2464baa68acdbf24841bf900eb98e87"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:d08b790a63a9a1cde3b5d7d733ed97d4eb884bfbc92f075a091652d6bfd7709a"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:73ea4cc55e8aea28c86799ecacebca09e5f86500414870a8abaedfcbaf74d288"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:f90938ff137130e47bcec8dc1f4ceb02f10178c766e2ef58a9f657ff1f62d124"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:aa1f13e94b8631c8cd53259250556edcf1de71738936b60febba95750d9632bd"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-win32.whl", hash = "sha256:a3b680b471c181490cf82da2142029edb4298e1bdfcb67c76922dedef789868d"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:fefef92e9c544a8dbc08f77a8d1b6d48006a750c4375bbcd5ff8199d761e263b"},
|
||||
{file = "mmh3-4.1.0-cp39-cp39-win_arm64.whl", hash = "sha256:8e2c1f6a2b41723a4f82bd5a762a777836d29d664fc0095f17910bea0adfd4a6"},
|
||||
{file = "mmh3-4.1.0.tar.gz", hash = "sha256:a1cf25348b9acd229dda464a094d6170f47d2850a1fcb762a3b6172d2ce6ca4a"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e65e16c9de793bfa334355c60fccc859faf1c0b707d847252841cee72b5309df"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:66d5423c65aebe94f244e8204cc8b39a4b970e342fb619621376af90c5f9a421"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5bfc15d11bcc5ce96254f5399582104c566a1eeeb91072ff0a0de92b24f704ff"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1616cb621cab3bc5b58dba9605311c346b45e732818f12f943a803b9a641f09c"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d3e3d94553b321b26952d507dace15509463604ead98fece710237ca8cb5983d"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b46b6d5c0fcd2620ebc699099fed6fda0101805d7d4c274fa2b2c384e8b9e8b9"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5a2a9cd368f2a15f06f2749db764e410b7dc260822319f169a52c649da078bf6"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:903cdb66f8d8de26a0a6c737a13664388b5ed14813f84793bccbba44ffa09fa2"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7653d8177e4241a5f7913a675636ccc701722741b153b0a43c82464a4a865752"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:a9154a0a32de54b812d178541468cce4c73b112fbd8b5b0a4add92cfda69c390"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:5f814a621fd0e567a121ace724ad57f28fb9972acfd54c854749ee91d5c4905c"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:333057bcf12804a8cae12adb2a5cef3bc50fc8de044ad6a01ae1918a342d6f0e"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e713afe276481af7ea0330f40214c71c11486b28754aa2d1cb286b5ee9571dee"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-win32.whl", hash = "sha256:917b72bc8b238286d7e2c586c19d604b3b3e5a93f054020cd15530324b868e6e"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:9a8bcaa5c0fd9c4679639c830b46e52fcc3b84502faa2aa5f3ca1dacb7cdbb1f"},
|
||||
{file = "mmh3-5.0.0-cp310-cp310-win_arm64.whl", hash = "sha256:341ad4f902ebb7fc14751fab67fb4eedf800a1744bc9dc214a56e11b62d0bfdd"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:690cb4b36ed7c863680029c2370b4f3a0c3dc8900320eb5ce79a867eb8b37151"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5580c7bf9570458d8096a016f7012453306a14d2e3e4ef1267b9c9c9f506d8a4"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f271a043545c86cce51c35e5bb6f52dceb535dcd2d46c2129a9c869b80ec2eaa"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2400e805018e04718c9367e85d694c036d21a41b37024d5b0dc8ef80cb984cf0"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b3d75183b7d5df178bf01f0d9ac366525fd54e828d799fe3892882b83c13454b"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ec24039151e67c5fc026ce5be8788e3e8093d9ce3e114d7a6175f453521bacc9"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:88513eb686937b26d33fe7ded7ed1a68ede490d326eea2344447c0cc42fb7f97"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a015a90951b31d45a01c8f92703c028d8d759f71dc31727581c916f31cacbade"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:337f747eaf6ab78d0be9cbbb763781ae76eb2e4c0e6523e74582877fe827ec51"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:01636d74df6371f192dc5a112f4afc43cb4119a9ea6de704469161fd4ab9e86b"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:3d969f1813b27bd4caac359e0ea0f6b711d252e872c0723124b58d7ac275cb0e"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:9f699f2232efe3907a6a05d9661edd2f4045a0e05161dc1087f72957d752a47a"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:16f46dc1774bf3e8305fa33207a502317cd7a592cb79b0d65c84f0fbcf9d9ffa"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-win32.whl", hash = "sha256:2d039b32f4194ac345c0f52441b7ff0a55735a896303a3eb9054e5f8512d84c8"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:47b3823a88c5f7859580688016bff13437fd866f6132e4770b306f0c6edb01a7"},
|
||||
{file = "mmh3-5.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:2ee87816b838709bd0fc623e3277736e9465a941d27b14f35d0df1c2006e4438"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:ed23a89a6daeb9b0d4db9fa865b125300516e8d6961f771b2dd97965bf888bce"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b020012e30ba0e4b002a150ca1c1d590a7387fac50dfd9b6b5dc66d9d0e61257"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e86246d036da05d54e833cdc342ad9c62f38f2507b14f2c58ce2c271f22d7251"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f50535009c1aaa44f9702ad14551d12d1755b537fc25a5bd7d46c493ec4bcfaa"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a567a87026f103778b70f2b19637fb490d9c29dc7d3af9cd46185d48efbd49dc"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ff4405f231032b8f8ae93d9a558ddc04b9aa94a59c309cb265ebe1e79ced920e"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d630fe75ef7d4ab1a95eb824d81dee15ed73020703bf030515f03283cb8f086f"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:361f9d611debc10992888cbace09dbc47391ae8b84b50c995a6d97e6314bb422"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:11e29156edb1990600cb4b91bcb371a2adf20a0fcb818837fb78408be19e9117"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e70c4fc340509f6554a1748fe6f539a846fbacf147255048d1702def820a1520"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:aa790a46370eeedb474c462820be78597452f54c5fffe1f810fc8e847faf42a1"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:ce678ac7d31e83fecc817ab630cc7254c7826de11fd2b3e8c31a8a5b0b762884"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ee22cd4cad4fc7d4e5282b2729899460b03c388cde0290d411e877249f78a373"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-win32.whl", hash = "sha256:cb1a96488dc8fccf843ccdbdd10faf1939e6e18cd928c2beff17e70c2ab09ec1"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:897ebafa83bbbbb1958ee30cda78c7ad4b12f2b9360f96b22e488eb127b2cb4f"},
|
||||
{file = "mmh3-5.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:e6e3334985865ec3bdfcc4ae8df4a1939be048c5ae3ce1c8c309744400f8e4de"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:05b09d98cbdb6ad03eb9c701e87cea005ececd4fd7d2968ff0f5a86af1ef340d"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:d4ac0b8d48ce1e7561cf330ec73b9582f6773e40aaf8a771dd51a0bb483ec94f"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5a1c056b65be3077496ed655731eff1f65ee67f2b31f40a027f3171ba0ac20d1"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a572adb41cf831d79b3b38c7994e5a5bc1a8ea8d7b574ce0c24272fc5abb52df"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0be4d14ab3a690bac6c127733490493b8698f84eadb9d667be7eb952281c51e4"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2b65b6eabd9e78e2b8eee2b8d4db34d4d2f5b540f2ac06ec0a76a1f1566f0ff7"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8b433656f371af5edf44cf00862e288e08327bb9e90c8aaa5e4e60dfebc62039"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1b12073a58be5e6408c6bd8366bbf6253defe042cdec25ee51f123c944e5a8f"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:29b2c8eb7a473f6f235c2d9905912a76350dd11b42058364de984264fa4f74ca"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b178b744685de956ff84b3b2531271824a2e4372aff199ab805e1fdd7f996f5c"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:fcac7a75846aec7bd168c05576dc8c9448a9705165dfa0986d0f48952eca62a4"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:cc0caa0d2800d54384cc048e49e6c2b4a90cba1afff0597d7c2a5006c42b5536"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:05b10476fd5cfb0fd63ceebf7430612423e7f79e9732e0b344225aa642e12be4"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-win32.whl", hash = "sha256:7101a12a2a4b39d7748d2d83310d5e0415950ccf6b9ec8da1d35af3f50b3ef0e"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:47d9a9c1c48accaf78ddb77669c40c837e90be2ecddd39bf7ef2f8dacff85ca6"},
|
||||
{file = "mmh3-5.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:9126155ad1a9418920360497a0b44906dce32f0732cb44378ace08c62751dd1e"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:9d8ac8b3f53d2146680a2e16908620f209778bfb6c7a5d1e64b10f496f3c87f7"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:17c0af11c1c4217b30635d3b3ad03dc61388f14b19a4f74bfcd6f29cfac3a59e"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8df414110fdbcf689812bf0ecab83611f97191dea2ab378bd384a6166bf0849b"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bd7a88b40c5c715c9afe6af4034f23a2222045d17215ffdde357733d976fde2"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:157159c3306e11225111e7d2db6bee1ff81d2286df53d6a305728656cf694076"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1d1ac511ad1775f793b4c34fe40e43e213bc59620fcf7d3046ee7d73dd629f82"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cb92b0e27775b078d469d948341f20a071943b4dacb4950d708a04722a8d6fee"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e326d9e1756ccacb2a8047d924101c3ed44bb2ac6aa6fc92efbbd1f2858f7b5"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:566ab00f7bc779d6d887b2d2ec96345483ed7091796d303f5df20cb06b4327ba"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:8971c3bc630cd3d3f2ba7b0a98b6eb3b5a83089f76e53500c53d3b3132d3437c"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:493479781554a98492a20bd659dd470608a9ceb5b229efcc4ce03ea4c849e81e"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:1424a9ffa472d4a9f5581f4eeac118d2c746e1980cbb48b7c1ddd1155e8d0d11"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:8f1c6c36135635c418b3e4e39f9bd3d0ef4afaf3c328c727f94cba0c146abba1"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-win32.whl", hash = "sha256:1d96e0ec13acf1c725b3ba5c932f0f4153238598880d4b32260dd552a34d6576"},
|
||||
{file = "mmh3-5.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:4ac9de75f3782a5c4dae1c60ed69f2a487439398ef694fc2b77c0a4e61268307"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:175037381e94d65553631b301c5c6f0cd69c7f8519e634221e7361595c7de0c3"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:aa6393cd40c3687b1d0bd3fbac8f9e81bbeb949bab63268e3756f9061c19d75c"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2e818d949829aeb25898db76d5a88411c2cc899c00e1c1c1a30916254f8762e2"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:072dda5e7e27a01c9c393c0558a210051d49750cd27807b443ba3285793f31bb"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bf6fa9d615f782a4626b0f99ec0a2d755e72b4e01a34503129bcc05488f4c404"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:03c2feef9fa839899065dc29cec2f921b1194bddaa9999e5460f9ab903e0ef24"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d67a7671b847ad934fea80702665b0903a5e19339713ea7a46f7e8eea21299d0"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f632b8962474ce3db9fec0d9e2c0038bc1339295796b0e76ac1d27b47bb60f9c"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:a1a2b2dc334a27a5d129cfbe848dbbbc22f1a744dcebab70b406528bca874009"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:4ea987eeb860723a0a0217b2e84c327ba5fd143cd8e7e289f008ae95280d30bb"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:d5904ef1621c9ef680fd2ff3c1e433205e05093d26aa42840337630ac20912f1"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:cad6c32ab86e48ac73af45bcd118b931e677e038167c36186ac0d640f76c8b1e"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:3672b5ea6d7c9c5feeb3f75a695b622ee6a82d22897fa0aa4bf1d8ca99ac9c87"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-win32.whl", hash = "sha256:29b311d4f8dc277c8ef716c68b8020fe0e702807ba7f631fe57ad037d35713aa"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:8fbe4112955b33e1b4893b144bee9cc5bc476159d1d1cad9b8c0451047b6abde"},
|
||||
{file = "mmh3-5.0.0-cp39-cp39-win_arm64.whl", hash = "sha256:4e66a0f85c8a2f54025f3d477a141458b0338f1b519ad0286c704865513c814f"},
|
||||
{file = "mmh3-5.0.0.tar.gz", hash = "sha256:60d1713457789c70292f1f04ca984e3175fc66e6c3545582fd2b4af7f5a61c73"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
test = ["mypy (>=1.0)", "pytest (>=7.0.0)"]
|
||||
benchmark = ["pymmh3 (==0.0.5)", "pyperf (==2.7.0)", "xxhash (==3.5.0)"]
|
||||
docs = ["myst-parser (==4.0.0)", "shibuya (==2024.8.30)", "sphinx (==8.0.2)", "sphinx-copybutton (==0.5.2)"]
|
||||
lint = ["black (==24.8.0)", "clang-format (==18.1.8)", "isort (==5.13.2)", "pylint (==3.2.7)"]
|
||||
plot = ["matplotlib (==3.9.2)", "pandas (==2.2.2)"]
|
||||
test = ["pytest (==8.3.3)", "pytest-sugar (==1.0.0)"]
|
||||
type = ["mypy (==1.11.2)"]
|
||||
|
||||
[[package]]
|
||||
name = "monotonic"
|
||||
|
|
@ -6470,13 +6492,13 @@ sympy = "*"
|
|||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "1.46.0"
|
||||
version = "1.46.1"
|
||||
description = "The official Python library for the openai API"
|
||||
optional = false
|
||||
python-versions = ">=3.7.1"
|
||||
files = [
|
||||
{file = "openai-1.46.0-py3-none-any.whl", hash = "sha256:8e423690b121d0268c7bb83b552e14f339b0ba250e1d0f70d145c194e79c4e1b"},
|
||||
{file = "openai-1.46.0.tar.gz", hash = "sha256:0c5a783530d7cd90e2370dbd52d9239d2d53dc7a0badf9ee1e2e23d3f148969b"},
|
||||
{file = "openai-1.46.1-py3-none-any.whl", hash = "sha256:7517f07117cf66012bbc55c49fd6b983eaac0f3d2a09c90cba1140d4455e4290"},
|
||||
{file = "openai-1.46.1.tar.gz", hash = "sha256:e5cf7f268bf516de23686d496c9dae7f0dcdcd0e87af4d288deeab8329fcbbaf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -7338,22 +7360,22 @@ testing = ["google-api-core (>=1.31.5)"]
|
|||
|
||||
[[package]]
|
||||
name = "protobuf"
|
||||
version = "4.25.4"
|
||||
version = "4.25.5"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "protobuf-4.25.4-cp310-abi3-win32.whl", hash = "sha256:db9fd45183e1a67722cafa5c1da3e85c6492a5383f127c86c4c4aa4845867dc4"},
|
||||
{file = "protobuf-4.25.4-cp310-abi3-win_amd64.whl", hash = "sha256:ba3d8504116a921af46499471c63a85260c1a5fc23333154a427a310e015d26d"},
|
||||
{file = "protobuf-4.25.4-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:eecd41bfc0e4b1bd3fa7909ed93dd14dd5567b98c941d6c1ad08fdcab3d6884b"},
|
||||
{file = "protobuf-4.25.4-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:4c8a70fdcb995dcf6c8966cfa3a29101916f7225e9afe3ced4395359955d3835"},
|
||||
{file = "protobuf-4.25.4-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:3319e073562e2515c6ddc643eb92ce20809f5d8f10fead3332f71c63be6a7040"},
|
||||
{file = "protobuf-4.25.4-cp38-cp38-win32.whl", hash = "sha256:7e372cbbda66a63ebca18f8ffaa6948455dfecc4e9c1029312f6c2edcd86c4e1"},
|
||||
{file = "protobuf-4.25.4-cp38-cp38-win_amd64.whl", hash = "sha256:051e97ce9fa6067a4546e75cb14f90cf0232dcb3e3d508c448b8d0e4265b61c1"},
|
||||
{file = "protobuf-4.25.4-cp39-cp39-win32.whl", hash = "sha256:90bf6fd378494eb698805bbbe7afe6c5d12c8e17fca817a646cd6a1818c696ca"},
|
||||
{file = "protobuf-4.25.4-cp39-cp39-win_amd64.whl", hash = "sha256:ac79a48d6b99dfed2729ccccee547b34a1d3d63289c71cef056653a846a2240f"},
|
||||
{file = "protobuf-4.25.4-py3-none-any.whl", hash = "sha256:bfbebc1c8e4793cfd58589acfb8a1026be0003e852b9da7db5a4285bde996978"},
|
||||
{file = "protobuf-4.25.4.tar.gz", hash = "sha256:0dc4a62cc4052a036ee2204d26fe4d835c62827c855c8a03f29fe6da146b380d"},
|
||||
{file = "protobuf-4.25.5-cp310-abi3-win32.whl", hash = "sha256:5e61fd921603f58d2f5acb2806a929b4675f8874ff5f330b7d6f7e2e784bbcd8"},
|
||||
{file = "protobuf-4.25.5-cp310-abi3-win_amd64.whl", hash = "sha256:4be0571adcbe712b282a330c6e89eae24281344429ae95c6d85e79e84780f5ea"},
|
||||
{file = "protobuf-4.25.5-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:b2fde3d805354df675ea4c7c6338c1aecd254dfc9925e88c6d31a2bcb97eb173"},
|
||||
{file = "protobuf-4.25.5-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:919ad92d9b0310070f8356c24b855c98df2b8bd207ebc1c0c6fcc9ab1e007f3d"},
|
||||
{file = "protobuf-4.25.5-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:fe14e16c22be926d3abfcb500e60cab068baf10b542b8c858fa27e098123e331"},
|
||||
{file = "protobuf-4.25.5-cp38-cp38-win32.whl", hash = "sha256:98d8d8aa50de6a2747efd9cceba361c9034050ecce3e09136f90de37ddba66e1"},
|
||||
{file = "protobuf-4.25.5-cp38-cp38-win_amd64.whl", hash = "sha256:b0234dd5a03049e4ddd94b93400b67803c823cfc405689688f59b34e0742381a"},
|
||||
{file = "protobuf-4.25.5-cp39-cp39-win32.whl", hash = "sha256:abe32aad8561aa7cc94fc7ba4fdef646e576983edb94a73381b03c53728a626f"},
|
||||
{file = "protobuf-4.25.5-cp39-cp39-win_amd64.whl", hash = "sha256:7a183f592dc80aa7c8da7ad9e55091c4ffc9497b3054452d629bb85fa27c2a45"},
|
||||
{file = "protobuf-4.25.5-py3-none-any.whl", hash = "sha256:0aebecb809cae990f8129ada5ca273d9d670b76d9bfc9b1809f0a9c02b7dbf41"},
|
||||
{file = "protobuf-4.25.5.tar.gz", hash = "sha256:7f8249476b4a9473645db7f8ab42b02fe1488cbe5fb72fddd445e0665afd8584"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -7974,61 +7996,70 @@ model = ["milvus-model (>=0.1.0)"]
|
|||
|
||||
[[package]]
|
||||
name = "pymongo"
|
||||
version = "4.8.0"
|
||||
version = "4.9.1"
|
||||
description = "Python driver for MongoDB <http://www.mongodb.org>"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pymongo-4.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f2b7bec27e047e84947fbd41c782f07c54c30c76d14f3b8bf0c89f7413fac67a"},
|
||||
{file = "pymongo-4.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3c68fe128a171493018ca5c8020fc08675be130d012b7ab3efe9e22698c612a1"},
|
||||
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:920d4f8f157a71b3cb3f39bc09ce070693d6e9648fb0e30d00e2657d1dca4e49"},
|
||||
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:52b4108ac9469febba18cea50db972605cc43978bedaa9fea413378877560ef8"},
|
||||
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:180d5eb1dc28b62853e2f88017775c4500b07548ed28c0bd9c005c3d7bc52526"},
|
||||
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aec2b9088cdbceb87e6ca9c639d0ff9b9d083594dda5ca5d3c4f6774f4c81b33"},
|
||||
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d0cf61450feadca81deb1a1489cb1a3ae1e4266efd51adafecec0e503a8dcd84"},
|
||||
{file = "pymongo-4.8.0-cp310-cp310-win32.whl", hash = "sha256:8b18c8324809539c79bd6544d00e0607e98ff833ca21953df001510ca25915d1"},
|
||||
{file = "pymongo-4.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:e5df28f74002e37bcbdfdc5109799f670e4dfef0fb527c391ff84f078050e7b5"},
|
||||
{file = "pymongo-4.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6b50040d9767197b77ed420ada29b3bf18a638f9552d80f2da817b7c4a4c9c68"},
|
||||
{file = "pymongo-4.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:417369ce39af2b7c2a9c7152c1ed2393edfd1cbaf2a356ba31eb8bcbd5c98dd7"},
|
||||
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf821bd3befb993a6db17229a2c60c1550e957de02a6ff4dd0af9476637b2e4d"},
|
||||
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9365166aa801c63dff1a3cb96e650be270da06e3464ab106727223123405510f"},
|
||||
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cc8b8582f4209c2459b04b049ac03c72c618e011d3caa5391ff86d1bda0cc486"},
|
||||
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:16e5019f75f6827bb5354b6fef8dfc9d6c7446894a27346e03134d290eb9e758"},
|
||||
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b5802151fc2b51cd45492c80ed22b441d20090fb76d1fd53cd7760b340ff554"},
|
||||
{file = "pymongo-4.8.0-cp311-cp311-win32.whl", hash = "sha256:4bf58e6825b93da63e499d1a58de7de563c31e575908d4e24876234ccb910eba"},
|
||||
{file = "pymongo-4.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:b747c0e257b9d3e6495a018309b9e0c93b7f0d65271d1d62e572747f4ffafc88"},
|
||||
{file = "pymongo-4.8.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e6a720a3d22b54183352dc65f08cd1547204d263e0651b213a0a2e577e838526"},
|
||||
{file = "pymongo-4.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:31e4d21201bdf15064cf47ce7b74722d3e1aea2597c6785882244a3bb58c7eab"},
|
||||
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6b804bb4f2d9dc389cc9e827d579fa327272cdb0629a99bfe5b83cb3e269ebf"},
|
||||
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f2fbdb87fe5075c8beb17a5c16348a1ea3c8b282a5cb72d173330be2fecf22f5"},
|
||||
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd39455b7ee70aabee46f7399b32ab38b86b236c069ae559e22be6b46b2bbfc4"},
|
||||
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:940d456774b17814bac5ea7fc28188c7a1338d4a233efbb6ba01de957bded2e8"},
|
||||
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:236bbd7d0aef62e64caf4b24ca200f8c8670d1a6f5ea828c39eccdae423bc2b2"},
|
||||
{file = "pymongo-4.8.0-cp312-cp312-win32.whl", hash = "sha256:47ec8c3f0a7b2212dbc9be08d3bf17bc89abd211901093e3ef3f2adea7de7a69"},
|
||||
{file = "pymongo-4.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:e84bc7707492f06fbc37a9f215374d2977d21b72e10a67f1b31893ec5a140ad8"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:519d1bab2b5e5218c64340b57d555d89c3f6c9d717cecbf826fb9d42415e7750"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:87075a1feb1e602e539bdb1ef8f4324a3427eb0d64208c3182e677d2c0718b6f"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77f53429515d2b3e86dcc83dadecf7ff881e538c168d575f3688698a8707b80a"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fdc20cd1e1141b04696ffcdb7c71e8a4a665db31fe72e51ec706b3bdd2d09f36"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:284d0717d1a7707744018b0b6ee7801b1b1ff044c42f7be7a01bb013de639470"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5bf0eb8b6ef40fa22479f09375468c33bebb7fe49d14d9c96c8fd50355188b0"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2ecd71b9226bd1d49416dc9f999772038e56f415a713be51bf18d8676a0841c8"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e0061af6e8c5e68b13f1ec9ad5251247726653c5af3c0bbdfbca6cf931e99216"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:658d0170f27984e0d89c09fe5c42296613b711a3ffd847eb373b0dbb5b648d5f"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-win32.whl", hash = "sha256:3ed1c316718a2836f7efc3d75b4b0ffdd47894090bc697de8385acd13c513a70"},
|
||||
{file = "pymongo-4.8.0-cp38-cp38-win_amd64.whl", hash = "sha256:7148419eedfea9ecb940961cfe465efaba90595568a1fb97585fb535ea63fe2b"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e8400587d594761e5136a3423111f499574be5fd53cf0aefa0d0f05b180710b0"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:af3e98dd9702b73e4e6fd780f6925352237f5dce8d99405ff1543f3771201704"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de3a860f037bb51f968de320baef85090ff0bbb42ec4f28ec6a5ddf88be61871"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0fc18b3a093f3db008c5fea0e980dbd3b743449eee29b5718bc2dc15ab5088bb"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18c9d8f975dd7194c37193583fd7d1eb9aea0c21ee58955ecf35362239ff31ac"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:408b2f8fdbeca3c19e4156f28fff1ab11c3efb0407b60687162d49f68075e63c"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b6564780cafd6abeea49759fe661792bd5a67e4f51bca62b88faab497ab5fe89"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d18d86bc9e103f4d3d4f18b85a0471c0e13ce5b79194e4a0389a224bb70edd53"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:9097c331577cecf8034422956daaba7ec74c26f7b255d718c584faddd7fa2e3c"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-win32.whl", hash = "sha256:d5428dbcd43d02f6306e1c3c95f692f68b284e6ee5390292242f509004c9e3a8"},
|
||||
{file = "pymongo-4.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:ef7225755ed27bfdb18730c68f6cb023d06c28f2b734597480fb4c0e500feb6f"},
|
||||
{file = "pymongo-4.8.0.tar.gz", hash = "sha256:454f2295875744dc70f1881e4b2eb99cdad008a33574bc8aaf120530f66c0cde"},
|
||||
{file = "pymongo-4.9.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dc3d070d746ab79e9b393a5c236df20e56607389af2b79bf1bfe9a841117558e"},
|
||||
{file = "pymongo-4.9.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fe709d05654c12fc513617c8d5c8d05b7e9cf1d5d94ada68add4e89530c867d2"},
|
||||
{file = "pymongo-4.9.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aa4493f304b33c5d2ecee3055c98889ac6724d56f5f922d47420a45d0d4099c9"},
|
||||
{file = "pymongo-4.9.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f8e8b8deba6a4bff3dd5421071083219521c74d2acae0322de5c06f1a66c56af"},
|
||||
{file = "pymongo-4.9.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e3645aff8419ca60f9ccd08966b2f6b0d78053f9f98a814d025426f1d874c19a"},
|
||||
{file = "pymongo-4.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51dbc6251c6783dfcc7d657c346986d8bad7210989b2fe15de16db5204a8e7ae"},
|
||||
{file = "pymongo-4.9.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1d7aa9cc2d92e73bdb036c578ba019da94ea165eb147e691cd910a6fab7ce3b7"},
|
||||
{file = "pymongo-4.9.1-cp310-cp310-win32.whl", hash = "sha256:8b632e01617f2608880f7b9926f54a5f5ebb51631996e0540fff7fc7980663c9"},
|
||||
{file = "pymongo-4.9.1-cp310-cp310-win_amd64.whl", hash = "sha256:f05e34d401be871d7c87cb10727d49315444e4ded07ff876a595e4c23b7436da"},
|
||||
{file = "pymongo-4.9.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6bb3d5282278594753089dc7da48bfae4a7f337a2dd4d397eabb591c649e58d0"},
|
||||
{file = "pymongo-4.9.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8f0d5258bc85a4e6b5bcae8160628168e71ec4625a58ceb53327c3280a0b6914"},
|
||||
{file = "pymongo-4.9.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:96462fb2175f740701d229f52018ea6e4adc4148c4112e6628bb359dd534a3df"},
|
||||
{file = "pymongo-4.9.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:286fb275267f0293364ba579f6354452599161f1902ad411061c7f744ab88328"},
|
||||
{file = "pymongo-4.9.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4cddb51cead9700c4dccc916952bc0321b8d766bf782d374bfa0e93ef47c1d20"},
|
||||
{file = "pymongo-4.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d79f20f9c7cbc1c708fb80b648b6fbd3220fd3437a9bd6017c1eb592e03b361"},
|
||||
{file = "pymongo-4.9.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dd3352eaf578f8e9bdea7a5692910eedad1e8680f60726fc70e99c8af51a5449"},
|
||||
{file = "pymongo-4.9.1-cp311-cp311-win32.whl", hash = "sha256:ea3f0196e7c311b9944a609ac175bd91ab97952164a1246716fdd38d53ca3bcc"},
|
||||
{file = "pymongo-4.9.1-cp311-cp311-win_amd64.whl", hash = "sha256:b4c793db8457c856f333f396798470b9bfe405e17c307d581532c74cec70150c"},
|
||||
{file = "pymongo-4.9.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:47b4896544095d172c366dd4d4ea1da6b0ab1a77d8416897cc1801e2421b1e67"},
|
||||
{file = "pymongo-4.9.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fbb1c7dfcf6c44e9e1928290631c7603817991cdf570691c9e15fca594918435"},
|
||||
{file = "pymongo-4.9.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a7689da1d1b444284e4ea9ab2eb64a15307b6b795918c0f3cd7774dd1d8a7556"},
|
||||
{file = "pymongo-4.9.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7f962d74201c772555f7a78792fed820a5ea76db5c7ee6cf43748e411b44e430"},
|
||||
{file = "pymongo-4.9.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08fbab69f3fb6f8088c81f4c4a8abd84a99c132034f5e27e47f894bbcb6bf439"},
|
||||
{file = "pymongo-4.9.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4327c0d9bd616b8289691360f2d4a09a72fe35479795832eae0d4ff78af53923"},
|
||||
{file = "pymongo-4.9.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:34e4993ae78be56f9e27a141168a1ab78253576fa3e893fa335a719ce204c3ef"},
|
||||
{file = "pymongo-4.9.1-cp312-cp312-win32.whl", hash = "sha256:e1f346811d4a2369f88ab7a6f886fa9c3bbc9ed4e4f4a3becca8717a73d465cb"},
|
||||
{file = "pymongo-4.9.1-cp312-cp312-win_amd64.whl", hash = "sha256:a2b12c74cfd90147babb77f9728646bcedfdbd2bd2a5b4130a00e3a0af1a3d34"},
|
||||
{file = "pymongo-4.9.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a40ea8bc9cffb61c5c9c426c430d22235e085e610ee81ae075ddf51f12f76236"},
|
||||
{file = "pymongo-4.9.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:75d5974f874acdb2f125bdbe785045b23a39ecce1d3143dd5712800c7b6d25eb"},
|
||||
{file = "pymongo-4.9.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f23a046531030318622414f21198e232cf93c5640da9a80b45596a059c8cc090"},
|
||||
{file = "pymongo-4.9.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:91b1a92214c3912af5467f77c2f6435cd76f6de64c70cba7bb4ee43eba7f459e"},
|
||||
{file = "pymongo-4.9.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3a846423c4535428f69a90a1451df3718bc59f0c4ab685b9e96d3071951e0be4"},
|
||||
{file = "pymongo-4.9.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d476d91a5c9e6c37bc8ec3fb294e1c01d95736ccf01a59bb1540fe2f710f826e"},
|
||||
{file = "pymongo-4.9.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:172d8ba0f567e351a18765db23dab7dbcfdffd91a8788d90d46b350f80a40781"},
|
||||
{file = "pymongo-4.9.1-cp313-cp313-win32.whl", hash = "sha256:95418e334629440f70fe5ceeefc6cbbd50defb566901c8d68179ffbaec8d5f01"},
|
||||
{file = "pymongo-4.9.1-cp313-cp313-win_amd64.whl", hash = "sha256:1dfd2aa30174d36a3ef1dae4ee4c89710c2d65cac52ce6e13f17c710edbd61cf"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c4204fad54830a3173a5c939cd052d0561fba03dba7e0ff6852fd631f3314aa4"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:375765ec81b1f0a26d08928afea0c3dff897c36080a090be53fc7b70cc51d497"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d1b959a3dda0775d9111622ee47ad47772aed3a9da2e7d5f2f513fa68175dea"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:42c19d2b094cdd0ead7dbb38860bbe8268c140334ce55d8b39204ddb4ebd4904"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1fac1def9e9073f1c80198c99f0ec39c2528236c8912d96d7fd3b0237f4c523a"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b347052d510989d1f52b8553b31297f21cf74bd9f6aed71ee84e563492f4ff17"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1b4b961fce213f2bcdc92268f85111a3668c61b9b4d4e7ece27dce3a137cfcbd"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a0b10cf51ec14a487c94709d294c00e1fb6a0a4c38cdc3acfb2ced5ef60972a0"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:679b8d55854da7c7fdb82aa5e092ab4de0144daf6758defed8ab00ff9ce05360"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-win32.whl", hash = "sha256:432ad395d2233056b042ccc73234e7136aa65d944d6bd8b5138394bd38aaff79"},
|
||||
{file = "pymongo-4.9.1-cp38-cp38-win_amd64.whl", hash = "sha256:9fbe9fad27619ac4cfda5df0ade26a99906da7dfe7b01deddc25997eb1804e4c"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:99b611ff75b5d9e17183dcf9584a7b04f9db07e51a162f23ea05e485e0735c0a"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8089003a99127f917bdbeec177d41cef019cda8ec70534c1018cb60aacd23c2a"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d78adf25967c06298c7e488f4cfab79a390fc32c2b1d428613976f99031603d"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:56877cfcdf7dfc5c6408e4551ec0d6d65ebbca4d744a0bc90400f09ef6bbcc8a"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:16d2efe559d0d96bc0b74b3ff76701ad6f6e1a65f6581b573dcacc29158131c8"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f838f613e74b4dad8ace0d90f42346005bece4eda5bf6d389cfadb8322d39316"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:db5b299e11284f8d82ce2983d8e19fcc28f98f902a179709ef1982b4cca6f8b8"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b23211c031b45d0f32de83ab7d77f9c26f1025c2d2c91463a5d8594a16103655"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:687cf70e096381bc65b4273a6a9319617618f7ace65caffc356e1099c4a68511"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-win32.whl", hash = "sha256:e02b03e3815b80a63e773e4c32aed3cf5633d406f376477be74550295c211256"},
|
||||
{file = "pymongo-4.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:0492ef43f3342354cf581712e431621c221f60c877ebded84e3f3e53b71bbbe0"},
|
||||
{file = "pymongo-4.9.1.tar.gz", hash = "sha256:b7f2d34390acf60e229c30037d1473fcf69f4536cd7f48f6f78c0c931c61c505"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -8036,12 +8067,12 @@ dnspython = ">=1.16.0,<3.0.0"
|
|||
|
||||
[package.extras]
|
||||
aws = ["pymongo-auth-aws (>=1.1.0,<2.0.0)"]
|
||||
docs = ["furo (==2023.9.10)", "readthedocs-sphinx-search (>=0.3,<1.0)", "sphinx (>=5.3,<8)", "sphinx-rtd-theme (>=2,<3)", "sphinxcontrib-shellcheck (>=1,<2)"]
|
||||
encryption = ["certifi", "pymongo-auth-aws (>=1.1.0,<2.0.0)", "pymongocrypt (>=1.6.0,<2.0.0)"]
|
||||
docs = ["furo (==2023.9.10)", "readthedocs-sphinx-search (>=0.3,<1.0)", "sphinx (>=5.3,<8)", "sphinx-autobuild (>=2020.9.1)", "sphinx-rtd-theme (>=2,<3)", "sphinxcontrib-shellcheck (>=1,<2)"]
|
||||
encryption = ["certifi", "pymongo-auth-aws (>=1.1.0,<2.0.0)", "pymongocrypt (>=1.10.0,<2.0.0)"]
|
||||
gssapi = ["pykerberos", "winkerberos (>=0.5.0)"]
|
||||
ocsp = ["certifi", "cryptography (>=2.5)", "pyopenssl (>=17.2.0)", "requests (<3.0.0)", "service-identity (>=18.1.0)"]
|
||||
snappy = ["python-snappy"]
|
||||
test = ["pytest (>=7)"]
|
||||
test = ["pytest (>=8.2)", "pytest-asyncio (>=0.24.0)"]
|
||||
zstd = ["zstandard"]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -8138,27 +8169,27 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "pyreadline3"
|
||||
version = "3.5.2"
|
||||
version = "3.5.4"
|
||||
description = "A python implementation of GNU readline."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pyreadline3-3.5.2-py3-none-any.whl", hash = "sha256:a87d56791e2965b2b187e2ea33dcf664600842c997c0623c95cf8ef07db83de9"},
|
||||
{file = "pyreadline3-3.5.2.tar.gz", hash = "sha256:ba82292e52c5a3bb256b291af0c40b457c1e8699cac9a873abbcaac8aef3a1bb"},
|
||||
{file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"},
|
||||
{file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
dev = ["build", "flake8", "pytest", "twine"]
|
||||
dev = ["build", "flake8", "mypy", "pytest", "twine"]
|
||||
|
||||
[[package]]
|
||||
name = "pyright"
|
||||
version = "1.1.380"
|
||||
version = "1.1.381"
|
||||
description = "Command line wrapper for pyright"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "pyright-1.1.380-py3-none-any.whl", hash = "sha256:a6404392053d8848bacc7aebcbd9d318bb46baf1a1a000359305481920f43879"},
|
||||
{file = "pyright-1.1.380.tar.gz", hash = "sha256:e6ceb1a5f7e9f03106e0aa1d6fbb4d97735a5e7ffb59f3de6b2db590baf935b2"},
|
||||
{file = "pyright-1.1.381-py3-none-any.whl", hash = "sha256:5dc0aa80a265675d36abab59c674ae01dbe476714f91845b61b841d34aa99081"},
|
||||
{file = "pyright-1.1.381.tar.gz", hash = "sha256:314cf0c1351c189524fb10c7ac20688ecd470e8cc505c394d642c9c80bf7c3a5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -9334,29 +9365,29 @@ pyasn1 = ">=0.1.3"
|
|||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.6.5"
|
||||
version = "0.6.6"
|
||||
description = "An extremely fast Python linter and code formatter, written in Rust."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "ruff-0.6.5-py3-none-linux_armv6l.whl", hash = "sha256:7e4e308f16e07c95fc7753fc1aaac690a323b2bb9f4ec5e844a97bb7fbebd748"},
|
||||
{file = "ruff-0.6.5-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:932cd69eefe4daf8c7d92bd6689f7e8182571cb934ea720af218929da7bd7d69"},
|
||||
{file = "ruff-0.6.5-py3-none-macosx_11_0_arm64.whl", hash = "sha256:3a8d42d11fff8d3143ff4da41742a98f8f233bf8890e9fe23077826818f8d680"},
|
||||
{file = "ruff-0.6.5-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a50af6e828ee692fb10ff2dfe53f05caecf077f4210fae9677e06a808275754f"},
|
||||
{file = "ruff-0.6.5-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:794ada3400a0d0b89e3015f1a7e01f4c97320ac665b7bc3ade24b50b54cb2972"},
|
||||
{file = "ruff-0.6.5-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:381413ec47f71ce1d1c614f7779d88886f406f1fd53d289c77e4e533dc6ea200"},
|
||||
{file = "ruff-0.6.5-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:52e75a82bbc9b42e63c08d22ad0ac525117e72aee9729a069d7c4f235fc4d276"},
|
||||
{file = "ruff-0.6.5-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:09c72a833fd3551135ceddcba5ebdb68ff89225d30758027280968c9acdc7810"},
|
||||
{file = "ruff-0.6.5-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:800c50371bdcb99b3c1551d5691e14d16d6f07063a518770254227f7f6e8c178"},
|
||||
{file = "ruff-0.6.5-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e25ddd9cd63ba1f3bd51c1f09903904a6adf8429df34f17d728a8fa11174253"},
|
||||
{file = "ruff-0.6.5-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:7291e64d7129f24d1b0c947ec3ec4c0076e958d1475c61202497c6aced35dd19"},
|
||||
{file = "ruff-0.6.5-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:9ad7dfbd138d09d9a7e6931e6a7e797651ce29becd688be8a0d4d5f8177b4b0c"},
|
||||
{file = "ruff-0.6.5-py3-none-musllinux_1_2_i686.whl", hash = "sha256:005256d977021790cc52aa23d78f06bb5090dc0bfbd42de46d49c201533982ae"},
|
||||
{file = "ruff-0.6.5-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:482c1e6bfeb615eafc5899127b805d28e387bd87db38b2c0c41d271f5e58d8cc"},
|
||||
{file = "ruff-0.6.5-py3-none-win32.whl", hash = "sha256:cf4d3fa53644137f6a4a27a2b397381d16454a1566ae5335855c187fbf67e4f5"},
|
||||
{file = "ruff-0.6.5-py3-none-win_amd64.whl", hash = "sha256:3e42a57b58e3612051a636bc1ac4e6b838679530235520e8f095f7c44f706ff9"},
|
||||
{file = "ruff-0.6.5-py3-none-win_arm64.whl", hash = "sha256:51935067740773afdf97493ba9b8231279e9beef0f2a8079188c4776c25688e0"},
|
||||
{file = "ruff-0.6.5.tar.gz", hash = "sha256:4d32d87fab433c0cf285c3683dd4dae63be05fd7a1d65b3f5bf7cdd05a6b96fb"},
|
||||
{file = "ruff-0.6.6-py3-none-linux_armv6l.whl", hash = "sha256:f5bc5398457484fc0374425b43b030e4668ed4d2da8ee7fdda0e926c9f11ccfb"},
|
||||
{file = "ruff-0.6.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:515a698254c9c47bb84335281a170213b3ee5eb47feebe903e1be10087a167ce"},
|
||||
{file = "ruff-0.6.6-py3-none-macosx_11_0_arm64.whl", hash = "sha256:6bb1b4995775f1837ab70f26698dd73852bbb82e8f70b175d2713c0354fe9182"},
|
||||
{file = "ruff-0.6.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69c546f412dfae8bb9cc4f27f0e45cdd554e42fecbb34f03312b93368e1cd0a6"},
|
||||
{file = "ruff-0.6.6-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:59627e97364329e4eae7d86fa7980c10e2b129e2293d25c478ebcb861b3e3fd6"},
|
||||
{file = "ruff-0.6.6-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:94c3f78c3d32190aafbb6bc5410c96cfed0a88aadb49c3f852bbc2aa9783a7d8"},
|
||||
{file = "ruff-0.6.6-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:704da526c1e137f38c8a067a4a975fe6834b9f8ba7dbc5fd7503d58148851b8f"},
|
||||
{file = "ruff-0.6.6-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:efeede5815a24104579a0f6320660536c5ffc1c91ae94f8c65659af915fb9de9"},
|
||||
{file = "ruff-0.6.6-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e368aef0cc02ca3593eae2fb8186b81c9c2b3f39acaaa1108eb6b4d04617e61f"},
|
||||
{file = "ruff-0.6.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2653fc3b2a9315bd809725c88dd2446550099728d077a04191febb5ea79a4f79"},
|
||||
{file = "ruff-0.6.6-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:bb858cd9ce2d062503337c5b9784d7b583bcf9d1a43c4df6ccb5eab774fbafcb"},
|
||||
{file = "ruff-0.6.6-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:488f8e15c01ea9afb8c0ba35d55bd951f484d0c1b7c5fd746ce3c47ccdedce68"},
|
||||
{file = "ruff-0.6.6-py3-none-musllinux_1_2_i686.whl", hash = "sha256:aefb0bd15f1cfa4c9c227b6120573bb3d6c4ee3b29fb54a5ad58f03859bc43c6"},
|
||||
{file = "ruff-0.6.6-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:a4c0698cc780bcb2c61496cbd56b6a3ac0ad858c966652f7dbf4ceb029252fbe"},
|
||||
{file = "ruff-0.6.6-py3-none-win32.whl", hash = "sha256:aadf81ddc8ab5b62da7aae78a91ec933cbae9f8f1663ec0325dae2c364e4ad84"},
|
||||
{file = "ruff-0.6.6-py3-none-win_amd64.whl", hash = "sha256:0adb801771bc1f1b8cf4e0a6fdc30776e7c1894810ff3b344e50da82ef50eeb1"},
|
||||
{file = "ruff-0.6.6-py3-none-win_arm64.whl", hash = "sha256:4b4d32c137bc781c298964dd4e52f07d6f7d57c03eae97a72d97856844aa510a"},
|
||||
{file = "ruff-0.6.6.tar.gz", hash = "sha256:0fc030b6fd14814d69ac0196396f6761921bd20831725c7361e1b8100b818034"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -10100,13 +10131,13 @@ httpx = {version = ">=0.24,<0.28", extras = ["http2"]}
|
|||
|
||||
[[package]]
|
||||
name = "sympy"
|
||||
version = "1.13.2"
|
||||
version = "1.13.3"
|
||||
description = "Computer algebra system (CAS) in Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "sympy-1.13.2-py3-none-any.whl", hash = "sha256:c51d75517712f1aed280d4ce58506a4a88d635d6b5dd48b39102a7ae1f3fcfe9"},
|
||||
{file = "sympy-1.13.2.tar.gz", hash = "sha256:401449d84d07be9d0c7a46a64bd54fe097667d5e7181bfe67ec777be9e01cb13"},
|
||||
{file = "sympy-1.13.3-py3-none-any.whl", hash = "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73"},
|
||||
{file = "sympy-1.13.3.tar.gz", hash = "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -10651,11 +10682,6 @@ files = [
|
|||
{file = "triton-3.0.0-1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb"},
|
||||
{file = "triton-3.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bcbf3b1c48af6a28011a5c40a5b3b9b5330530c3827716b5fbf6d7adcc1e53e9"},
|
||||
{file = "triton-3.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6e5727202f7078c56f91ff13ad0c1abab14a0e7f2c87e91b12b6f64f3e8ae609"},
|
||||
{file = "triton-3.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39b052da883351fdf6be3d93cedae6db3b8e3988d3b09ed221bccecfa9612230"},
|
||||
{file = "triton-3.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd34f19a8582af96e6291d4afce25dac08cb2a5d218c599163761e8e0827208e"},
|
||||
{file = "triton-3.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d5e10de8c011adeb7c878c6ce0dd6073b14367749e34467f1cff2bde1b78253"},
|
||||
{file = "triton-3.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8903767951bf86ec960b4fe4e21bc970055afc65e9d57e916d79ae3c93665e3"},
|
||||
{file = "triton-3.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41004fb1ae9a53fcb3e970745feb87f0e3c94c6ce1ba86e95fa3b8537894bef7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -12160,4 +12186,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<3.13"
|
||||
content-hash = "3cb7a5173540e80d07a4b3aa53d4c9ca298402ddc1275cbe977d4ddf0bf691ab"
|
||||
content-hash = "5476d8752c1b91c0e8bec1952b468fe08c04905e393bf6a1aa2304297ca8983d"
|
||||
|
|
|
|||
|
|
@ -68,7 +68,7 @@ langchain-cohere = "^0.1.5"
|
|||
elasticsearch = "^8.12.0"
|
||||
pytube = "^15.0.0"
|
||||
dspy-ai = "^2.4.0"
|
||||
assemblyai = "^0.26.0"
|
||||
assemblyai = "^0.33.0"
|
||||
litellm = "^1.44.0"
|
||||
chromadb = "^0.4"
|
||||
langchain-anthropic = "^0.1.23"
|
||||
|
|
|
|||
|
|
@ -0,0 +1,63 @@
|
|||
import datetime
|
||||
from typing import Dict, List
|
||||
|
||||
from langflow.custom import Component
|
||||
from langflow.io import DataInput, Output
|
||||
from langflow.schema import Data
|
||||
|
||||
|
||||
class AssemblyAITranscriptionParser(Component):
|
||||
display_name = "AssemblyAI Parse Transcript"
|
||||
description = "Parse AssemblyAI transcription result. If Speaker Labels was enabled, format utterances with speakers and timestamps"
|
||||
documentation = "https://www.assemblyai.com/docs"
|
||||
icon = "AssemblyAI"
|
||||
|
||||
inputs = [
|
||||
DataInput(
|
||||
name="transcription_result",
|
||||
display_name="Transcription Result",
|
||||
info="The transcription result from AssemblyAI",
|
||||
),
|
||||
]
|
||||
|
||||
outputs = [
|
||||
Output(display_name="Parsed Transcription", name="parsed_transcription", method="parse_transcription"),
|
||||
]
|
||||
|
||||
def parse_transcription(self) -> Data:
|
||||
# check if it's an error message from the previous step
|
||||
if self.transcription_result.data.get("error"):
|
||||
self.status = self.transcription_result.data["error"]
|
||||
return self.transcription_result
|
||||
|
||||
try:
|
||||
transcription_data = self.transcription_result.data
|
||||
|
||||
if transcription_data.get("utterances"):
|
||||
# If speaker diarization was enabled
|
||||
parsed_result = self.parse_with_speakers(transcription_data["utterances"])
|
||||
elif transcription_data.get("text"):
|
||||
# If speaker diarization was not enabled
|
||||
parsed_result = transcription_data["text"]
|
||||
else:
|
||||
raise ValueError("Unexpected transcription format")
|
||||
|
||||
self.status = parsed_result
|
||||
return Data(data={"text": parsed_result})
|
||||
except Exception as e:
|
||||
error_message = f"Error parsing transcription: {str(e)}"
|
||||
self.status = error_message
|
||||
return Data(data={"error": error_message})
|
||||
|
||||
def parse_with_speakers(self, utterances: List[Dict]) -> str:
|
||||
parsed_result = []
|
||||
for utterance in utterances:
|
||||
speaker = utterance["speaker"]
|
||||
start_time = self.format_timestamp(utterance["start"])
|
||||
text = utterance["text"]
|
||||
parsed_result.append(f'Speaker {speaker} {start_time}\n"{text}"\n')
|
||||
|
||||
return "\n".join(parsed_result)
|
||||
|
||||
def format_timestamp(self, milliseconds: int) -> str:
|
||||
return str(datetime.timedelta(milliseconds=milliseconds)).split(".")[0]
|
||||
|
|
@ -0,0 +1,80 @@
|
|||
import assemblyai as aai
|
||||
|
||||
from langflow.custom import Component
|
||||
from langflow.io import DataInput, DropdownInput, IntInput, Output, SecretStrInput
|
||||
from langflow.schema import Data
|
||||
|
||||
|
||||
class AssemblyAIGetSubtitles(Component):
|
||||
display_name = "AssemblyAI Get Subtitles"
|
||||
description = "Export your transcript in SRT or VTT format for subtitles and closed captions"
|
||||
documentation = "https://www.assemblyai.com/docs"
|
||||
icon = "AssemblyAI"
|
||||
|
||||
inputs = [
|
||||
SecretStrInput(
|
||||
name="api_key",
|
||||
display_name="Assembly API Key",
|
||||
info="Your AssemblyAI API key. You can get one from https://www.assemblyai.com/",
|
||||
),
|
||||
DataInput(
|
||||
name="transcription_result",
|
||||
display_name="Transcription Result",
|
||||
info="The transcription result from AssemblyAI",
|
||||
),
|
||||
DropdownInput(
|
||||
name="subtitle_format",
|
||||
display_name="Subtitle Format",
|
||||
options=["srt", "vtt"],
|
||||
value="srt",
|
||||
info="The format of the captions (SRT or VTT)",
|
||||
),
|
||||
IntInput(
|
||||
name="chars_per_caption",
|
||||
display_name="Characters per Caption",
|
||||
info="The maximum number of characters per caption (0 for no limit)",
|
||||
value=0,
|
||||
advanced=True,
|
||||
),
|
||||
]
|
||||
|
||||
outputs = [
|
||||
Output(display_name="Subtitles", name="subtitles", method="get_subtitles"),
|
||||
]
|
||||
|
||||
def get_subtitles(self) -> Data:
|
||||
aai.settings.api_key = self.api_key
|
||||
|
||||
# check if it's an error message from the previous step
|
||||
if self.transcription_result.data.get("error"):
|
||||
self.status = self.transcription_result.data["error"]
|
||||
return self.transcription_result
|
||||
|
||||
try:
|
||||
transcript_id = self.transcription_result.data["id"]
|
||||
transcript = aai.Transcript.get_by_id(transcript_id)
|
||||
except Exception as e:
|
||||
error = f"Getting transcription failed: {str(e)}"
|
||||
self.status = error
|
||||
return Data(data={"error": error})
|
||||
|
||||
if transcript.status == aai.TranscriptStatus.completed:
|
||||
subtitles = None
|
||||
chars_per_caption = self.chars_per_caption if self.chars_per_caption > 0 else None
|
||||
if self.subtitle_format == "srt":
|
||||
subtitles = transcript.export_subtitles_srt(chars_per_caption)
|
||||
else:
|
||||
subtitles = transcript.export_subtitles_vtt(chars_per_caption)
|
||||
|
||||
result = Data(
|
||||
subtitles=subtitles,
|
||||
format=self.subtitle_format,
|
||||
transcript_id=transcript_id,
|
||||
chars_per_caption=chars_per_caption,
|
||||
)
|
||||
|
||||
self.status = result
|
||||
return result
|
||||
else:
|
||||
self.status = transcript.error
|
||||
return Data(data={"error": transcript.error})
|
||||
|
|
@ -0,0 +1,108 @@
|
|||
import assemblyai as aai
|
||||
|
||||
from langflow.custom import Component
|
||||
from langflow.io import DataInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, SecretStrInput
|
||||
from langflow.schema import Data
|
||||
|
||||
|
||||
class AssemblyAILeMUR(Component):
|
||||
display_name = "AssemblyAI LeMUR"
|
||||
description = "Apply Large Language Models to spoken data using the AssemblyAI LeMUR framework"
|
||||
documentation = "https://www.assemblyai.com/docs/lemur"
|
||||
icon = "AssemblyAI"
|
||||
|
||||
inputs = [
|
||||
SecretStrInput(
|
||||
name="api_key",
|
||||
display_name="Assembly API Key",
|
||||
info="Your AssemblyAI API key. You can get one from https://www.assemblyai.com/",
|
||||
advanced=False,
|
||||
),
|
||||
DataInput(
|
||||
name="transcription_result",
|
||||
display_name="Transcription Result",
|
||||
info="The transcription result from AssemblyAI",
|
||||
),
|
||||
MessageInput(
|
||||
name="prompt",
|
||||
display_name="Input Prompt",
|
||||
info="The text to prompt the model",
|
||||
),
|
||||
DropdownInput(
|
||||
name="final_model",
|
||||
display_name="Final Model",
|
||||
options=["claude3_5_sonnet", "claude3_opus", "claude3_haiku", "claude3_sonnet"],
|
||||
value="claude3_5_sonnet",
|
||||
info="The model that is used for the final prompt after compression is performed",
|
||||
),
|
||||
FloatInput(
|
||||
name="temperature",
|
||||
display_name="Temperature",
|
||||
advanced=True,
|
||||
value=0.0,
|
||||
info="The temperature to use for the model",
|
||||
),
|
||||
IntInput(
|
||||
name="max_output_size",
|
||||
display_name=" Max Output Size",
|
||||
advanced=True,
|
||||
value=2000,
|
||||
info="Max output size in tokens, up to 4000",
|
||||
),
|
||||
]
|
||||
|
||||
outputs = [
|
||||
Output(display_name="LeMUR Response", name="lemur_response", method="run_lemur"),
|
||||
]
|
||||
|
||||
def run_lemur(self) -> Data:
|
||||
"""Use the LeMUR task endpoint to input the LLM prompt."""
|
||||
aai.settings.api_key = self.api_key
|
||||
|
||||
# check if it's an error message from the previous step
|
||||
if self.transcription_result.data.get("error"):
|
||||
self.status = self.transcription_result.data["error"]
|
||||
return self.transcription_result
|
||||
|
||||
if not self.prompt or not self.prompt.text:
|
||||
self.status = "No prompt specified"
|
||||
return Data(data={"error": "No prompt specified"})
|
||||
|
||||
try:
|
||||
transcript = aai.Transcript.get_by_id(self.transcription_result.data["id"])
|
||||
except Exception as e:
|
||||
error = f"Getting transcription failed: {str(e)}"
|
||||
self.status = error
|
||||
return Data(data={"error": error})
|
||||
|
||||
if transcript.status == aai.TranscriptStatus.completed:
|
||||
try:
|
||||
result = transcript.lemur.task(
|
||||
prompt=self.prompt.text,
|
||||
final_model=self.get_final_model(self.final_model),
|
||||
temperature=self.temperature,
|
||||
max_output_size=self.max_output_size,
|
||||
)
|
||||
|
||||
result = Data(data=result.dict())
|
||||
self.status = result
|
||||
return result
|
||||
except Exception as e:
|
||||
error = f"An Exception happened while calling LeMUR: {str(e)}"
|
||||
self.status = error
|
||||
return Data(data={"error": error})
|
||||
else:
|
||||
self.status = transcript.error
|
||||
return Data(data={"error": transcript.error})
|
||||
|
||||
def get_final_model(self, model_name: str) -> aai.LemurModel:
|
||||
if model_name == "claude3_5_sonnet":
|
||||
return aai.LemurModel.claude3_5_sonnet
|
||||
elif model_name == "claude3_opus":
|
||||
return aai.LemurModel.claude3_opus
|
||||
elif model_name == "claude3_haiku":
|
||||
return aai.LemurModel.claude3_haiku
|
||||
elif model_name == "claude3_sonnet":
|
||||
return aai.LemurModel.claude3_sonnet
|
||||
else:
|
||||
raise ValueError(f"Model name not supported: {model_name}")
|
||||
|
|
@ -0,0 +1,90 @@
|
|||
from typing import List
|
||||
|
||||
import assemblyai as aai
|
||||
|
||||
from langflow.custom import Component
|
||||
from langflow.io import BoolInput, DropdownInput, IntInput, MessageTextInput, Output, SecretStrInput
|
||||
from langflow.schema import Data
|
||||
|
||||
|
||||
class AssemblyAIListTranscripts(Component):
|
||||
display_name = "AssemblyAI List Transcripts"
|
||||
description = "Retrieve a list of transcripts from AssemblyAI with filtering options"
|
||||
documentation = "https://www.assemblyai.com/docs"
|
||||
icon = "AssemblyAI"
|
||||
|
||||
inputs = [
|
||||
SecretStrInput(
|
||||
name="api_key",
|
||||
display_name="Assembly API Key",
|
||||
info="Your AssemblyAI API key. You can get one from https://www.assemblyai.com/",
|
||||
),
|
||||
IntInput(
|
||||
name="limit",
|
||||
display_name="Limit",
|
||||
info="Maximum number of transcripts to retrieve (default: 20, use 0 for all)",
|
||||
value=20,
|
||||
),
|
||||
DropdownInput(
|
||||
name="status_filter",
|
||||
display_name="Status Filter",
|
||||
options=["all", "queued", "processing", "completed", "error"],
|
||||
value="all",
|
||||
info="Filter by transcript status",
|
||||
),
|
||||
MessageTextInput(
|
||||
name="created_on",
|
||||
display_name="Created On",
|
||||
info="Only get transcripts created on this date (YYYY-MM-DD)",
|
||||
),
|
||||
BoolInput(
|
||||
name="throttled_only",
|
||||
display_name="Throttled Only",
|
||||
info="Only get throttled transcripts, overrides the status filter",
|
||||
),
|
||||
]
|
||||
|
||||
outputs = [
|
||||
Output(display_name="Transcript List", name="transcript_list", method="list_transcripts"),
|
||||
]
|
||||
|
||||
def list_transcripts(self) -> List[Data]:
|
||||
aai.settings.api_key = self.api_key
|
||||
|
||||
params = aai.ListTranscriptParameters()
|
||||
if self.limit:
|
||||
params.limit = self.limit
|
||||
if self.status_filter != "all":
|
||||
params.status = self.status_filter
|
||||
if self.created_on and self.created_on.text:
|
||||
params.created_on = self.created_on.text
|
||||
if self.throttled_only:
|
||||
params.throttled_only = True
|
||||
|
||||
try:
|
||||
transcriber = aai.Transcriber()
|
||||
|
||||
def convert_page_to_data_list(page):
|
||||
return [Data(**t.dict()) for t in page.transcripts]
|
||||
|
||||
if self.limit == 0:
|
||||
# paginate over all pages
|
||||
params.limit = 100
|
||||
page = transcriber.list_transcripts(params)
|
||||
transcripts = convert_page_to_data_list(page)
|
||||
|
||||
while page.page_details.before_id_of_prev_url is not None:
|
||||
params.before_id = page.page_details.before_id_of_prev_url
|
||||
page = transcriber.list_transcripts(params)
|
||||
transcripts.extend(convert_page_to_data_list(page))
|
||||
else:
|
||||
# just one page
|
||||
page = transcriber.list_transcripts(params)
|
||||
transcripts = convert_page_to_data_list(page)
|
||||
|
||||
self.status = transcripts
|
||||
return transcripts
|
||||
except Exception as e:
|
||||
error_data = Data(data={"error": f"An error occurred: {str(e)}"})
|
||||
self.status = [error_data]
|
||||
return [error_data]
|
||||
|
|
@ -0,0 +1,60 @@
|
|||
import assemblyai as aai
|
||||
|
||||
from langflow.custom import Component
|
||||
from langflow.io import DataInput, FloatInput, Output, SecretStrInput
|
||||
from langflow.schema import Data
|
||||
|
||||
|
||||
class AssemblyAITranscriptionJobPoller(Component):
|
||||
display_name = "AssemblyAI Poll Transcript"
|
||||
description = "Poll for the status of a transcription job using AssemblyAI"
|
||||
documentation = "https://www.assemblyai.com/docs"
|
||||
icon = "AssemblyAI"
|
||||
|
||||
inputs = [
|
||||
SecretStrInput(
|
||||
name="api_key",
|
||||
display_name="Assembly API Key",
|
||||
info="Your AssemblyAI API key. You can get one from https://www.assemblyai.com/",
|
||||
),
|
||||
DataInput(
|
||||
name="transcript_id",
|
||||
display_name="Transcript ID",
|
||||
info="The ID of the transcription job to poll",
|
||||
),
|
||||
FloatInput(
|
||||
name="polling_interval",
|
||||
display_name="Polling Interval",
|
||||
value=3.0,
|
||||
info="The polling interval in seconds",
|
||||
),
|
||||
]
|
||||
|
||||
outputs = [
|
||||
Output(display_name="Transcription Result", name="transcription_result", method="poll_transcription_job"),
|
||||
]
|
||||
|
||||
def poll_transcription_job(self) -> Data:
|
||||
"""Polls the transcription status until completion and returns the Data."""
|
||||
aai.settings.api_key = self.api_key
|
||||
aai.settings.polling_interval = self.polling_interval
|
||||
|
||||
# check if it's an error message from the previous step
|
||||
if self.transcript_id.data.get("error"):
|
||||
self.status = self.transcript_id.data["error"]
|
||||
return self.transcript_id
|
||||
|
||||
try:
|
||||
transcript = aai.Transcript.get_by_id(self.transcript_id.data["transcript_id"])
|
||||
except Exception as e:
|
||||
error = f"Getting transcription failed: {str(e)}"
|
||||
self.status = error
|
||||
return Data(data={"error": error})
|
||||
|
||||
if transcript.status == aai.TranscriptStatus.completed:
|
||||
data = Data(data=transcript.json_response)
|
||||
self.status = data
|
||||
return data
|
||||
else:
|
||||
self.status = transcript.error
|
||||
return Data(data={"error": transcript.error})
|
||||
|
|
@ -0,0 +1,181 @@
|
|||
import os
|
||||
|
||||
import assemblyai as aai
|
||||
from loguru import logger
|
||||
|
||||
from langflow.custom import Component
|
||||
from langflow.io import BoolInput, DropdownInput, FileInput, MessageTextInput, Output, SecretStrInput
|
||||
from langflow.schema import Data
|
||||
|
||||
|
||||
class AssemblyAITranscriptionJobCreator(Component):
|
||||
display_name = "AssemblyAI Start Transcript"
|
||||
description = "Create a transcription job for an audio file using AssemblyAI with advanced options"
|
||||
documentation = "https://www.assemblyai.com/docs"
|
||||
icon = "AssemblyAI"
|
||||
|
||||
inputs = [
|
||||
SecretStrInput(
|
||||
name="api_key",
|
||||
display_name="Assembly API Key",
|
||||
info="Your AssemblyAI API key. You can get one from https://www.assemblyai.com/",
|
||||
),
|
||||
FileInput(
|
||||
name="audio_file",
|
||||
display_name="Audio File",
|
||||
file_types=[
|
||||
"3ga",
|
||||
"8svx",
|
||||
"aac",
|
||||
"ac3",
|
||||
"aif",
|
||||
"aiff",
|
||||
"alac",
|
||||
"amr",
|
||||
"ape",
|
||||
"au",
|
||||
"dss",
|
||||
"flac",
|
||||
"flv",
|
||||
"m4a",
|
||||
"m4b",
|
||||
"m4p",
|
||||
"m4r",
|
||||
"mp3",
|
||||
"mpga",
|
||||
"ogg",
|
||||
"oga",
|
||||
"mogg",
|
||||
"opus",
|
||||
"qcp",
|
||||
"tta",
|
||||
"voc",
|
||||
"wav",
|
||||
"wma",
|
||||
"wv",
|
||||
"webm",
|
||||
"mts",
|
||||
"m2ts",
|
||||
"ts",
|
||||
"mov",
|
||||
"mp2",
|
||||
"mp4",
|
||||
"m4p",
|
||||
"m4v",
|
||||
"mxf",
|
||||
],
|
||||
info="The audio file to transcribe",
|
||||
),
|
||||
MessageTextInput(
|
||||
name="audio_file_url",
|
||||
display_name="Audio File URL",
|
||||
info="The URL of the audio file to transcribe (Can be used instead of a File)",
|
||||
advanced=True,
|
||||
),
|
||||
DropdownInput(
|
||||
name="speech_model",
|
||||
display_name="Speech Model",
|
||||
options=[
|
||||
"best",
|
||||
"nano",
|
||||
],
|
||||
value="best",
|
||||
info="The speech model to use for the transcription",
|
||||
),
|
||||
BoolInput(
|
||||
name="language_detection",
|
||||
display_name="Automatic Language Detection",
|
||||
info="Enable automatic language detection",
|
||||
),
|
||||
MessageTextInput(
|
||||
name="language_code",
|
||||
display_name="Language",
|
||||
info="""
|
||||
The language of the audio file. Can be set manually if automatic language detection is disabled.
|
||||
See https://www.assemblyai.com/docs/getting-started/supported-languages for a list of supported language codes.
|
||||
""",
|
||||
),
|
||||
BoolInput(
|
||||
name="speaker_labels",
|
||||
display_name="Enable Speaker Labels",
|
||||
info="Enable speaker diarization",
|
||||
),
|
||||
MessageTextInput(
|
||||
name="speakers_expected",
|
||||
display_name="Expected Number of Speakers",
|
||||
info="Set the expected number of speakers (optional, enter a number)",
|
||||
advanced=True,
|
||||
),
|
||||
BoolInput(
|
||||
name="punctuate",
|
||||
display_name="Punctuate",
|
||||
info="Enable automatic punctuation",
|
||||
advanced=True,
|
||||
value=True,
|
||||
),
|
||||
BoolInput(
|
||||
name="format_text",
|
||||
display_name="Format Text",
|
||||
info="Enable text formatting",
|
||||
advanced=True,
|
||||
value=True,
|
||||
),
|
||||
]
|
||||
|
||||
outputs = [
|
||||
Output(display_name="Transcript ID", name="transcript_id", method="create_transcription_job"),
|
||||
]
|
||||
|
||||
def create_transcription_job(self) -> Data:
|
||||
aai.settings.api_key = self.api_key
|
||||
|
||||
# Convert speakers_expected to int if it's not empty
|
||||
speakers_expected = None
|
||||
if self.speakers_expected and self.speakers_expected.strip():
|
||||
try:
|
||||
speakers_expected = int(self.speakers_expected)
|
||||
except ValueError:
|
||||
self.status = "Error: Expected Number of Speakers must be a valid integer"
|
||||
return Data(data={"error": "Error: Expected Number of Speakers must be a valid integer"})
|
||||
|
||||
language_code = self.language_code if self.language_code else None
|
||||
|
||||
config = aai.TranscriptionConfig(
|
||||
speech_model=self.speech_model,
|
||||
language_detection=self.language_detection,
|
||||
language_code=language_code,
|
||||
speaker_labels=self.speaker_labels,
|
||||
speakers_expected=speakers_expected,
|
||||
punctuate=self.punctuate,
|
||||
format_text=self.format_text,
|
||||
)
|
||||
|
||||
audio = None
|
||||
if self.audio_file:
|
||||
if self.audio_file_url:
|
||||
logger.warning("Both an audio file an audio URL were specified. The audio URL was ignored.")
|
||||
|
||||
# Check if the file exists
|
||||
if not os.path.exists(self.audio_file):
|
||||
self.status = "Error: Audio file not found"
|
||||
return Data(data={"error": "Error: Audio file not found"})
|
||||
audio = self.audio_file
|
||||
elif self.audio_file_url:
|
||||
audio = self.audio_file_url
|
||||
else:
|
||||
self.status = "Error: Either an audio file or an audio URL must be specified"
|
||||
return Data(data={"error": "Error: Either an audio file or an audio URL must be specified"})
|
||||
|
||||
try:
|
||||
transcript = aai.Transcriber().submit(audio, config=config)
|
||||
|
||||
if transcript.error:
|
||||
self.status = transcript.error
|
||||
return Data(data={"error": transcript.error})
|
||||
else:
|
||||
result = Data(data={"transcript_id": transcript.id})
|
||||
self.status = result
|
||||
return result
|
||||
except Exception as e:
|
||||
self.status = f"An error occurred: {str(e)}"
|
||||
return Data(data={"error": f"An error occurred: {str(e)}"})
|
||||
|
|
@ -1,12 +1,13 @@
|
|||
import re
|
||||
from typing import List
|
||||
|
||||
from langchain_core.prompts import HumanMessagePromptTemplate
|
||||
|
||||
from langflow.custom import Component
|
||||
from langflow.inputs import DefaultPromptField, SecretStrInput, StrInput
|
||||
from langflow.io import Output
|
||||
from langflow.schema.message import Message
|
||||
|
||||
from langchain_core.prompts import HumanMessagePromptTemplate
|
||||
|
||||
class LangChainHubPromptComponent(Component):
|
||||
display_name: str = "LangChain Hub"
|
||||
|
|
|
|||
2322
src/frontend/package-lock.json
generated
2322
src/frontend/package-lock.json
generated
File diff suppressed because it is too large
Load diff
20
src/frontend/src/icons/AssemblyAI/AssemblyAI.jsx
Normal file
20
src/frontend/src/icons/AssemblyAI/AssemblyAI.jsx
Normal file
|
|
@ -0,0 +1,20 @@
|
|||
const AssemblyAISVG = (props) => (
|
||||
<svg
|
||||
width="501"
|
||||
height="434"
|
||||
viewBox="0 0 501 434"
|
||||
fill="none"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
{...props}
|
||||
>
|
||||
<path
|
||||
d="M221.202 0.944641C189.435 0.944641 160.93 20.4579 149.437 50.0725L0.462402 433.945H113.632L230.894 131.791H230.943C233.886 124.427 241.085 119.224 249.5 119.224C257.915 119.224 265.114 124.427 268.057 131.791H283.681V70.5011H254.679L281.673 0.944641H221.202Z"
|
||||
fill="#213ED7"
|
||||
/>
|
||||
<path
|
||||
d="M149.445 50.0726C160.471 21.6619 187.153 2.54782 217.352 1.04075L217.315 0.944641H279.722C311.489 0.944641 339.993 20.4579 351.486 50.0725L500.461 433.945H385.356L240.893 61.6995C232.622 43.4564 214.251 30.7668 192.917 30.7668C171.53 30.7668 153.122 43.5188 144.88 61.834L149.445 50.0726Z"
|
||||
fill="#566DE8"
|
||||
/>
|
||||
</svg>
|
||||
);
|
||||
export default AssemblyAISVG;
|
||||
4
src/frontend/src/icons/AssemblyAI/AssemblyAI.svg
Normal file
4
src/frontend/src/icons/AssemblyAI/AssemblyAI.svg
Normal file
|
|
@ -0,0 +1,4 @@
|
|||
<svg width="501" height="434" viewBox="0 0 501 434" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M221.202 0.944641C189.435 0.944641 160.93 20.4579 149.437 50.0725L0.462402 433.945H113.632L230.894 131.791H230.943C233.886 124.427 241.085 119.224 249.5 119.224C257.915 119.224 265.114 124.427 268.057 131.791H283.681V70.5011H254.679L281.673 0.944641H221.202Z" fill="#213ED7"/>
|
||||
<path d="M149.445 50.0726C160.471 21.6619 187.153 2.54782 217.352 1.04075L217.315 0.944641H279.722C311.489 0.944641 339.993 20.4579 351.486 50.0725L500.461 433.945H385.356L240.893 61.6995C232.622 43.4564 214.251 30.7668 192.917 30.7668C171.53 30.7668 153.122 43.5188 144.88 61.834L149.445 50.0726Z" fill="#566DE8"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 709 B |
9
src/frontend/src/icons/AssemblyAI/index.tsx
Normal file
9
src/frontend/src/icons/AssemblyAI/index.tsx
Normal file
|
|
@ -0,0 +1,9 @@
|
|||
import React, { forwardRef } from "react";
|
||||
import AssemblyAISVG from "./AssemblyAI";
|
||||
|
||||
export const AssemblyAIIcon = forwardRef<
|
||||
SVGSVGElement,
|
||||
React.PropsWithChildren<{}>
|
||||
>((props, ref) => {
|
||||
return <AssemblyAISVG ref={ref} {...props} />;
|
||||
});
|
||||
|
|
@ -175,6 +175,7 @@ import { FaApple, FaDiscord, FaGithub } from "react-icons/fa";
|
|||
import { AWSIcon } from "../icons/AWS";
|
||||
import { AirbyteIcon } from "../icons/Airbyte";
|
||||
import { AnthropicIcon } from "../icons/Anthropic";
|
||||
import { AssemblyAIIcon } from "../icons/AssemblyAI";
|
||||
import { AstraDBIcon } from "../icons/AstraDB";
|
||||
import { AzureIcon } from "../icons/Azure";
|
||||
import { BingIcon } from "../icons/Bing";
|
||||
|
|
@ -389,6 +390,7 @@ export const nodeIconsLucide: iconsType = {
|
|||
Amazon: AWSIcon,
|
||||
Anthropic: AnthropicIcon,
|
||||
ChatAnthropic: AnthropicIcon,
|
||||
AssemblyAI: AssemblyAIIcon,
|
||||
AstraDB: AstraDBIcon,
|
||||
BingSearchAPIWrapper: BingIcon,
|
||||
BingSearchRun: BingIcon,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue