Katon Minhas
23af15306b
Feature/new model testing * rename and set up * Setup * Get dynamic primary crosswalked answers * Generate stats for one file * Update dynamic primary evaluation * Multithreading * Set up reimbursement primary evaluation * UPdate output report generation * Update TN calculation * update poetry lock * reorder reimb primary * evaluate 3 models * Configure 4.5 * switch to debug logging * update type checking * Fix mypy * Resolve mypy * Merged main into feature/new-model-testing Approved-by: Karan Desai
5965 lines
509 KiB
TOML
5965 lines
509 KiB
TOML
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[[package]]
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version = "2.0.0"
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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 = {version = "*", markers = "implementation_name != \"PyPy\""}
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[[package]]
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name = "charset-normalizer"
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version = "3.4.3"
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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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groups = ["main", "dev"]
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files = [
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]
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[[package]]
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name = "click"
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version = "8.2.1"
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|
description = "Composable command line interface toolkit"
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|
optional = false
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python-versions = ">=3.10"
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groups = ["main", "dev"]
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files = [
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]
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[package.dependencies]
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colorama = {version = "*", markers = "platform_system == \"Windows\""}
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[[package]]
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|
name = "colorama"
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version = "0.4.6"
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description = "Cross-platform colored terminal text."
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optional = false
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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groups = ["main", "dev", "test"]
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files = [
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]
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markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\"", test = "sys_platform == \"win32\""}
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[[package]]
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name = "comm"
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version = "0.2.3"
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description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
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optional = false
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python-versions = ">=3.8"
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groups = ["dev"]
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files = [
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{file = "comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417"},
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]
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[package.extras]
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test = ["pytest"]
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[[package]]
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name = "coverage"
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version = "7.10.5"
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description = "Code coverage measurement for Python"
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optional = false
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python-versions = ">=3.9"
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groups = ["test"]
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files = [
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[[package]]
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name = "fastjsonschema"
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version = "2.21.2"
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description = "Fastest Python implementation of JSON schema"
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traitlets = ">=5.3"
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python-json-logger = ">=2.0.4"
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pyyaml = ">=5.3"
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referencing = "*"
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rfc3339-validator = "*"
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argon2-cffi = ">=21.1"
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jinja2 = ">=3.0.3"
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jupyter-events = ">=0.11.0"
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jupyter-server-terminals = ">=0.4.4"
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nbconvert = ">=6.4.4"
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nbformat = ">=5.3.0"
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packaging = ">=22.0"
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prometheus-client = ">=0.9"
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pywinpty = {version = ">=2.0.1", markers = "os_name == \"nt\""}
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pyzmq = ">=24"
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send2trash = ">=1.8.2"
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terminado = ">=0.8.3"
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traitlets = ">=5.6.0"
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websocket-client = ">=1.7"
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docs = ["ipykernel", "jinja2", "jupyter-client", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"]
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test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.7)", "pytest-timeout", "requests"]
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name = "jupyter-server-terminals"
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python-versions = ">=3.8"
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terminado = ">=0.8.3"
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docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
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test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"]
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[[package]]
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name = "jupyterlab"
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version = "4.4.6"
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description = "JupyterLab computational environment"
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python-versions = ">=3.9"
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groups = ["dev"]
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files = [
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httpx = ">=0.25.0,<1"
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jinja2 = ">=3.0.3"
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jupyter-core = "*"
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jupyter-lsp = ">=2.0.0"
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jupyterlab-server = ">=2.27.1,<3"
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notebook-shim = ">=0.2"
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packaging = "*"
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setuptools = ">=41.1.0"
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tornado = ">=6.2.0"
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traitlets = "*"
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[package.extras]
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dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.11.4)"]
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docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<8.2.0)", "sphinx-copybutton"]
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test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
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upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"]
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python-versions = ">=3.8"
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requests = ">=2.31"
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docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi (>0.8)"]
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openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"]
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test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0,<8)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"]
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[[package]]
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name = "jupyterlab-widgets"
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version = "3.0.15"
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optional = false
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python-versions = ">=3.7"
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[[package]]
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name = "langchain"
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version = "0.3.27"
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|
description = "Building applications with LLMs through composability"
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|
optional = false
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python-versions = "<4.0,>=3.9"
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groups = ["main"]
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files = [
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langchain-core = ">=0.3.72,<1.0.0"
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langchain-text-splitters = ">=0.3.9,<1.0.0"
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langsmith = ">=0.1.17"
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pydantic = ">=2.7.4,<3.0.0"
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PyYAML = ">=5.3"
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requests = ">=2,<3"
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SQLAlchemy = ">=1.4,<3"
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[package.extras]
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|
anthropic = ["langchain-anthropic"]
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aws = ["langchain-aws"]
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|
azure-ai = ["langchain-azure-ai"]
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|
cohere = ["langchain-cohere"]
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|
community = ["langchain-community"]
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|
deepseek = ["langchain-deepseek"]
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|
fireworks = ["langchain-fireworks"]
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|
google-genai = ["langchain-google-genai"]
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|
google-vertexai = ["langchain-google-vertexai"]
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|
groq = ["langchain-groq"]
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|
huggingface = ["langchain-huggingface"]
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|
mistralai = ["langchain-mistralai"]
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|
ollama = ["langchain-ollama"]
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|
openai = ["langchain-openai"]
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|
perplexity = ["langchain-perplexity"]
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together = ["langchain-together"]
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xai = ["langchain-xai"]
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[[package]]
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|
name = "langchain-aws"
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|
version = "0.2.31"
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|
description = "An integration package connecting AWS and LangChain"
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|
optional = false
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|
python-versions = ">=3.9"
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|
groups = ["main"]
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files = [
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[package.dependencies]
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boto3 = ">=1.39.7"
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langchain-core = ">=0.3.74,<0.4.0"
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numpy = {version = ">=1.26.0,<3", markers = "python_version >= \"3.12\""}
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pydantic = ">=2.10.0,<3"
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tools = ["beautifulsoup4 (>=4.13.4)", "bedrock-agentcore (>=0.1.0)", "playwright (>=1.53.0)"]
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[[package]]
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|
name = "langchain-community"
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version = "0.3.28"
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|
description = "Community contributed LangChain integrations."
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|
optional = false
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|
python-versions = ">=3.9"
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|
groups = ["main"]
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files = [
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aiohttp = ">=3.8.3,<4.0.0"
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dataclasses-json = ">=0.6.7,<0.7"
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httpx-sse = ">=0.4.0,<1.0.0"
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langchain = ">=0.3.27,<1.0.0"
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|
langchain-core = ">=0.3.74,<1.0.0"
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langsmith = ">=0.1.125"
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|
numpy = [
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{version = ">=1.26.2", markers = "python_version < \"3.13\""},
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{version = ">=2.1.0", markers = "python_version >= \"3.13\""},
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]
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pydantic-settings = ">=2.10.1,<3.0.0"
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|
PyYAML = ">=5.3"
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requests = ">=2.32.5,<3"
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SQLAlchemy = ">=1.4,<3"
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|
tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
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|
|
|
[[package]]
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|
name = "langchain-core"
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|
version = "0.3.75"
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|
description = "Building applications with LLMs through composability"
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|
optional = false
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|
python-versions = ">=3.9"
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|
groups = ["main"]
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files = [
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{file = "langchain_core-0.3.75.tar.gz", hash = "sha256:ab0eb95a06ed6043f76162e6086b45037690cb70b7f090bd83b5ebb8a05b70ed"},
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]
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|
[package.dependencies]
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|
jsonpatch = ">=1.33,<2.0"
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|
langsmith = ">=0.3.45"
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|
packaging = ">=23.2"
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pydantic = ">=2.7.4"
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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-text-splitters"
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|
version = "0.3.9"
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|
description = "LangChain text splitting utilities"
|
|
optional = false
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|
python-versions = ">=3.9"
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|
groups = ["main"]
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|
files = [
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{file = "langchain_text_splitters-0.3.9-py3-none-any.whl", hash = "sha256:cee0bb816211584ea79cc79927317c358543f40404bcfdd69e69ba3ccde54401"},
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{file = "langchain_text_splitters-0.3.9.tar.gz", hash = "sha256:7cd1e5a3aaf609979583eeca2eb34177622570b8fa8f586a605c6b1c34e7ebdb"},
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]
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[package.dependencies]
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|
langchain-core = ">=0.3.72,<1.0.0"
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|
|
|
[[package]]
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|
name = "langchainhub"
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|
version = "0.1.21"
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|
description = "The LangChain Hub API client"
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|
optional = false
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|
python-versions = "<4.0,>=3.8.1"
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|
groups = ["main"]
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files = [
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{file = "langchainhub-0.1.21.tar.gz", hash = "sha256:723383b3964a47dbaea6ad5d0ef728accefbc9d2c07480e800bdec43510a8c10"},
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packaging = ">=23.2,<25"
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|
requests = ">=2,<3"
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|
types-requests = ">=2.31.0.2,<3.0.0.0"
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|
|
|
[[package]]
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|
name = "langsmith"
|
|
version = "0.4.18"
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|
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
|
optional = false
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|
python-versions = ">=3.9"
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|
groups = ["main"]
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version = "6.6.4"
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description = "multidict implementation"
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optional = false
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python-versions = ">=3.9"
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groups = ["main"]
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[package.dependencies]
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nvidia-nvjitlink-cu12 = "*"
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[[package]]
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name = "nvidia-cufile-cu12"
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version = "1.11.1.6"
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description = "cuFile GPUDirect libraries"
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version = "10.3.7.77"
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description = "CURAND native runtime libraries"
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[[package]]
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name = "nvidia-cusolver-cu12"
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version = "11.7.1.2"
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description = "CUDA solver native runtime libraries"
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optional = false
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[package.dependencies]
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nvidia-cublas-cu12 = "*"
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nvidia-nvjitlink-cu12 = "*"
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[[package]]
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name = "nvidia-cusparse-cu12"
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version = "12.5.4.2"
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optional = false
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[package.dependencies]
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nvidia-nvjitlink-cu12 = "*"
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[[package]]
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name = "nvidia-cusparselt-cu12"
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version = "0.6.3"
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|
description = "NVIDIA cuSPARSELt"
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optional = false
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python-versions = "*"
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groups = ["main"]
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markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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[[package]]
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name = "nvidia-nccl-cu12"
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|
version = "2.26.2"
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description = "NVIDIA Collective Communication Library (NCCL) Runtime"
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optional = false
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python-versions = ">=3"
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groups = ["main"]
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|
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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files = [
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[[package]]
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|
name = "nvidia-nvjitlink-cu12"
|
|
version = "12.6.85"
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|
description = "Nvidia JIT LTO Library"
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|
optional = false
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python-versions = ">=3"
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|
groups = ["main"]
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nvidia-cublas-cu12 = {version = "12.6.4.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cuda-cupti-cu12 = {version = "12.6.80", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cuda-nvrtc-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cuda-runtime-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cudnn-cu12 = {version = "9.5.1.17", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cufft-cu12 = {version = "11.3.0.4", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cufile-cu12 = {version = "1.11.1.6", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-curand-cu12 = {version = "10.3.7.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cusolver-cu12 = {version = "11.7.1.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cusparse-cu12 = {version = "12.5.4.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-cusparselt-cu12 = {version = "0.6.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-nccl-cu12 = {version = "2.26.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-nvjitlink-cu12 = {version = "12.6.85", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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nvidia-nvtx-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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setuptools = {version = "*", markers = "python_version >= \"3.12\""}
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sympy = ">=1.13.3"
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triton = {version = "3.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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typing-extensions = ">=4.10.0"
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[package.extras]
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opt-einsum = ["opt-einsum (>=3.3)"]
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optree = ["optree (>=0.13.0)"]
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[[package]]
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name = "tornado"
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version = "6.5.2"
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description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
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|
optional = false
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python-versions = ">=3.9"
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groups = ["dev"]
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files = [
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{file = "tornado-6.5.2-cp39-abi3-win32.whl", hash = "sha256:c6f29e94d9b37a95013bb669616352ddb82e3bfe8326fccee50583caebc8a5f0"},
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{file = "tornado-6.5.2-cp39-abi3-win_amd64.whl", hash = "sha256:e56a5af51cc30dd2cae649429af65ca2f6571da29504a07995175df14c18f35f"},
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{file = "tornado-6.5.2-cp39-abi3-win_arm64.whl", hash = "sha256:d6c33dc3672e3a1f3618eb63b7ef4683a7688e7b9e6e8f0d9aa5726360a004af"},
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{file = "tornado-6.5.2.tar.gz", hash = "sha256:ab53c8f9a0fa351e2c0741284e06c7a45da86afb544133201c5cc8578eb076a0"},
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]
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[[package]]
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name = "tqdm"
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version = "4.67.1"
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description = "Fast, Extensible Progress Meter"
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|
optional = false
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python-versions = ">=3.7"
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groups = ["main"]
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files = [
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{file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
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{file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
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]
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[package.dependencies]
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colorama = {version = "*", markers = "platform_system == \"Windows\""}
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[package.extras]
|
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dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
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|
discord = ["requests"]
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|
notebook = ["ipywidgets (>=6)"]
|
|
slack = ["slack-sdk"]
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|
telegram = ["requests"]
|
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|
|
[[package]]
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|
name = "traitlets"
|
|
version = "5.14.3"
|
|
description = "Traitlets Python configuration system"
|
|
optional = false
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|
python-versions = ">=3.8"
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groups = ["dev"]
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files = [
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{file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
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{file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
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]
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[package.extras]
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|
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
|
|
test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
|
|
|
|
[[package]]
|
|
name = "transformers"
|
|
version = "4.55.4"
|
|
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
|
optional = false
|
|
python-versions = ">=3.9.0"
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|
groups = ["main"]
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|
files = [
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{file = "transformers-4.55.4-py3-none-any.whl", hash = "sha256:df28f3849665faba4af5106f0db4510323277c4bb595055340544f7e59d06458"},
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{file = "transformers-4.55.4.tar.gz", hash = "sha256:574a30559bc273c7a4585599ff28ab6b676e96dc56ffd2025ecfce2fd0ab915d"},
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]
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[package.dependencies]
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filelock = "*"
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huggingface-hub = ">=0.34.0,<1.0"
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|
numpy = ">=1.17"
|
|
packaging = ">=20.0"
|
|
pyyaml = ">=5.1"
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|
regex = "!=2019.12.17"
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requests = "*"
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safetensors = ">=0.4.3"
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tokenizers = ">=0.21,<0.22"
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tqdm = ">=4.27"
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[package.extras]
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accelerate = ["accelerate (>=0.26.0)"]
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all = ["Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "av", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<=0.9)", "librosa", "mistral-common[opencv] (>=1.6.3)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision"]
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audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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benchmark = ["optimum-benchmark (>=0.3.0)"]
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codecarbon = ["codecarbon (>=2.8.1)"]
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deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
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deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "optuna", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
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dev = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "accelerate (>=0.26.0)", "av", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "kernels (>=0.6.1,<=0.9)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "num2words", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)"]
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|
dev-tensorflow = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "onnxconverter-common", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
|
|
dev-torch = ["GitPython (<3.1.19)", "GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "kenlm", "kernels (>=0.6.1,<=0.9)", "libcst", "libcst", "librosa", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.21,<0.22)", "torch (>=2.1)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
|
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
|
|
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
|
ftfy = ["ftfy"]
|
|
hf-xet = ["hf_xet"]
|
|
hub-kernels = ["kernels (>=0.6.1,<=0.9)"]
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|
integrations = ["kernels (>=0.6.1,<=0.9)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"]
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|
ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"]
|
|
mistral-common = ["mistral-common[opencv] (>=1.6.3)"]
|
|
modelcreation = ["cookiecutter (==1.7.3)"]
|
|
natten = ["natten (>=0.14.6,<0.15.0)"]
|
|
num2words = ["num2words"]
|
|
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
|
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
|
open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
|
|
optuna = ["optuna"]
|
|
quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"]
|
|
ray = ["ray[tune] (>=2.7.0)"]
|
|
retrieval = ["datasets (>=2.15.0)", "faiss-cpu"]
|
|
ruff = ["ruff (==0.11.2)"]
|
|
sagemaker = ["sagemaker (>=2.31.0)"]
|
|
sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
|
|
serving = ["accelerate (>=0.26.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "starlette", "torch (>=2.1)", "uvicorn"]
|
|
sigopt = ["sigopt"]
|
|
sklearn = ["scikit-learn"]
|
|
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
|
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
|
tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
|
|
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
|
|
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
|
tiktoken = ["blobfile", "tiktoken"]
|
|
timm = ["timm (!=1.0.18,<=1.0.19)"]
|
|
tokenizers = ["tokenizers (>=0.21,<0.22)"]
|
|
torch = ["accelerate (>=0.26.0)", "torch (>=2.1)"]
|
|
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
|
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
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[package.dependencies]
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idna = ">=2.0"
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multidict = ">=4.0"
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propcache = ">=0.2.1"
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[[package]]
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name = "zstandard"
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version = "0.24.0"
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description = "Zstandard bindings for Python"
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optional = false
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python-versions = ">=3.9"
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groups = ["main"]
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{file = "zstandard-0.24.0-cp39-cp39-win32.whl", hash = "sha256:1e133a9dd51ac0bcd5fd547ba7da45a58346dbc63def883f999857b0d0c003c4"},
|
|
{file = "zstandard-0.24.0-cp39-cp39-win_amd64.whl", hash = "sha256:8ecd3b1f7a601f79e0cd20c26057d770219c0dc2f572ea07390248da2def79a4"},
|
|
{file = "zstandard-0.24.0.tar.gz", hash = "sha256:fe3198b81c00032326342d973e526803f183f97aa9e9a98e3f897ebafe21178f"},
|
|
]
|
|
|
|
[package.extras]
|
|
cffi = ["cffi (>=1.17)"]
|
|
|
|
[metadata]
|
|
lock-version = "2.1"
|
|
python-versions = "^3.12"
|
|
content-hash = "3f82f89f27294f328c93d31edd8d64df332af6ac7f390b379d1a8f4a00cc9258"
|