1883 lines
161 KiB
TOML
1883 lines
161 KiB
TOML
# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
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[[package]]
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name = "annotated-types"
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version = "0.7.0"
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description = "Reusable constraint types to use with typing.Annotated"
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optional = false
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python-versions = ">=3.8"
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files = [
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]
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[[package]]
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name = "anyio"
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version = "4.7.0"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
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optional = false
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python-versions = ">=3.9"
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files = [
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{file = "anyio-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"},
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{file = "anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48"},
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]
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[package.dependencies]
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idna = ">=2.8"
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sniffio = ">=1.1"
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typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
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[package.extras]
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doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
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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", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
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trio = ["trio (>=0.26.1)"]
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[[package]]
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name = "audioop-lts"
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version = "0.2.1"
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description = "LTS Port of Python audioop"
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optional = false
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python-versions = ">=3.13"
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files = [
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[[package]]
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name = "certifi"
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version = "2024.12.14"
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description = "Python package for providing Mozilla's CA Bundle."
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optional = false
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python-versions = ">=3.6"
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files = [
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[[package]]
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name = "cffi"
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version = "1.17.1"
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description = "Foreign Function Interface for Python calling C code."
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optional = false
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]
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[package.dependencies]
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pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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version = "3.4.1"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7"
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files = [
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[[package]]
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|
name = "langchain-core"
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|
version = "0.3.29"
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|
description = "Building applications with LLMs through composability"
|
|
optional = false
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|
python-versions = "<4.0,>=3.9"
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|
files = [
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{file = "langchain_core-0.3.29-py3-none-any.whl", hash = "sha256:817db1474871611a81105594a3e4d11704949661008e455a10e38ca9ff601a1a"},
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]
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[package.dependencies]
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|
jsonpatch = ">=1.33,<2.0"
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langsmith = ">=0.1.125,<0.3"
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|
packaging = ">=23.2,<25"
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pydantic = [
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{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
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{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
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]
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PyYAML = ">=5.3"
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tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
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|
typing-extensions = ">=4.7"
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[[package]]
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|
name = "langchain-gigachat"
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|
version = "0.3.2"
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|
description = "An integration package connecting GigaChat and LangChain"
|
|
optional = false
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|
python-versions = "<4.0,>=3.9"
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files = [
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]
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[package.dependencies]
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gigachat = ">=0.1.36,<0.2.0"
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|
langchain-core = ">=0.3,<0.4"
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|
types-requests = ">=2.32,<3.0"
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[[package]]
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|
name = "langsmith"
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|
version = "0.2.10"
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|
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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|
optional = false
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|
python-versions = "<4.0,>=3.9"
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files = [
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[package.dependencies]
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httpx = ">=0.23.0,<1"
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orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
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pydantic = [
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{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
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]
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requests = ">=2,<3"
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requests-toolbelt = ">=1.0.0,<2.0.0"
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[package.extras]
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|
compression = ["zstandard (>=0.23.0,<0.24.0)"]
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|
langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
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[[package]]
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|
name = "llvmlite"
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version = "0.43.0"
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|
description = "lightweight wrapper around basic LLVM functionality"
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optional = false
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|
python-versions = ">=3.9"
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files = [
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version = "3.0.2"
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description = "Safely add untrusted strings to HTML/XML markup."
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files = [
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torch = "*"
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[package.extras]
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]
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[package.dependencies]
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|
cffi = ">=1.0"
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|
numpy = "*"
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|
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|
[[package]]
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|
name = "speechrecognition"
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|
version = "3.13.0"
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|
description = "Library for performing speech recognition, with support for several engines and APIs, online and offline."
|
|
optional = false
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|
python-versions = ">=3.9"
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|
files = [
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{file = "SpeechRecognition-3.13.0-py3-none-any.whl", hash = "sha256:44ca68ffbc55910ec0d26f009632a67367e2c81934934babe52456a896e983e1"},
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{file = "speechrecognition-3.13.0.tar.gz", hash = "sha256:fdf42f4ad3cc05df7dd4a651ae090f313e34a5f6389f09134594e4ada9d28b19"},
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]
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[package.dependencies]
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|
audioop-lts = {version = "*", markers = "python_version >= \"3.13\""}
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|
standard-aifc = {version = "*", markers = "python_version >= \"3.13\""}
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|
typing-extensions = "*"
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|
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|
[package.extras]
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|
assemblyai = ["requests"]
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|
audio = ["PyAudio (>=0.2.11)"]
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|
dev = ["pytest", "pytest-randomly", "respx"]
|
|
google-cloud = ["google-cloud-speech"]
|
|
groq = ["groq", "httpx (<0.28)"]
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|
openai = ["httpx (<0.28)", "openai"]
|
|
pocketsphinx = ["pocketsphinx (<5)"]
|
|
whisper-local = ["openai-whisper", "soundfile"]
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|
|
|
[[package]]
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|
name = "standard-aifc"
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|
version = "3.13.0"
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|
description = "Standard library aifc redistribution. \"dead battery\"."
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|
optional = false
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|
python-versions = "*"
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|
files = [
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{file = "standard_aifc-3.13.0-py3-none-any.whl", hash = "sha256:f7ae09cc57de1224a0dd8e3eb8f73830be7c3d0bc485de4c1f82b4a7f645ac66"},
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]
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[package.dependencies]
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|
audioop-lts = {version = "*", markers = "python_version >= \"3.13\""}
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|
standard-chunk = {version = "*", markers = "python_version >= \"3.13\""}
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|
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|
[[package]]
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|
name = "standard-chunk"
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|
version = "3.13.0"
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|
description = "Standard library chunk redistribution. \"dead battery\"."
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|
optional = false
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|
python-versions = "*"
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|
files = [
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{file = "standard_chunk-3.13.0-py3-none-any.whl", hash = "sha256:17880a26c285189c644bd5bd8f8ed2bdb795d216e3293e6dbe55bbd848e2982c"},
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[[package]]
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|
name = "sympy"
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|
version = "1.13.1"
|
|
description = "Computer algebra system (CAS) in Python"
|
|
optional = false
|
|
python-versions = ">=3.8"
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|
files = [
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|
{file = "sympy-1.13.1-py3-none-any.whl", hash = "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8"},
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{file = "sympy-1.13.1.tar.gz", hash = "sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f"},
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]
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[package.dependencies]
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|
mpmath = ">=1.1.0,<1.4"
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|
[package.extras]
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|
dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
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|
[[package]]
|
|
name = "tenacity"
|
|
version = "9.0.0"
|
|
description = "Retry code until it succeeds"
|
|
optional = false
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|
python-versions = ">=3.8"
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|
files = [
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{file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
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{file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
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[package.extras]
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|
doc = ["reno", "sphinx"]
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|
test = ["pytest", "tornado (>=4.5)", "typeguard"]
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|
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[[package]]
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|
name = "tgcrypto"
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|
version = "1.2.5"
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|
description = "Fast and Portable Cryptography Extension Library for Pyrogram"
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|
optional = false
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|
python-versions = "~=3.7"
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files = [
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[[package]]
|
|
name = "tiktoken"
|
|
version = "0.8.0"
|
|
description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
|
|
optional = false
|
|
python-versions = ">=3.9"
|
|
files = [
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{file = "tiktoken-0.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b07e33283463089c81ef1467180e3e00ab00d46c2c4bbcef0acab5f771d6695e"},
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