diff --git a/.github/actions/poetry_setup/action.yml b/.github/actions/poetry_setup/action.yml index 5aef4970ba706..68b099f0e5592 100644 --- a/.github/actions/poetry_setup/action.yml +++ b/.github/actions/poetry_setup/action.yml @@ -32,7 +32,7 @@ runs: with: python-version: ${{ inputs.python-version }} - - uses: actions/cache@v3 + - uses: actions/cache@v4 id: cache-bin-poetry name: Cache Poetry binary - Python ${{ inputs.python-version }} env: @@ -79,7 +79,7 @@ runs: run: pipx install "poetry==$POETRY_VERSION" --python '${{ steps.setup-python.outputs.python-path }}' --verbose - name: Restore pip and poetry cached dependencies - uses: actions/cache@v3 + uses: actions/cache@v4 env: SEGMENT_DOWNLOAD_TIMEOUT_MIN: "4" WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }} diff --git a/.github/scripts/get_min_versions.py b/.github/scripts/get_min_versions.py new file mode 100644 index 0000000000000..fb68755ac2876 --- /dev/null +++ b/.github/scripts/get_min_versions.py @@ -0,0 +1,65 @@ +import sys + +import tomllib +from packaging.version import parse as parse_version +import re + +MIN_VERSION_LIBS = ["langchain-core", "langchain-community", "langchain"] + + +def get_min_version(version: str) -> str: + # case ^x.x.x + _match = re.match(r"^\^(\d+(?:\.\d+){0,2})$", version) + if _match: + return _match.group(1) + + # case >=x.x.x,=(\d+(?:\.\d+){0,2}),<(\d+(?:\.\d+){0,2})$", version) + if _match: + _min = _match.group(1) + _max = _match.group(2) + assert parse_version(_min) < parse_version(_max) + return _min + + # case x.x.x + _match = re.match(r"^(\d+(?:\.\d+){0,2})$", version) + if _match: + return _match.group(1) + + raise ValueError(f"Unrecognized version format: {version}") + + +def get_min_version_from_toml(toml_path: str): + # Parse the TOML file + with open(toml_path, "rb") as file: + toml_data = tomllib.load(file) + + # Get the dependencies from tool.poetry.dependencies + dependencies = toml_data["tool"]["poetry"]["dependencies"] + + # Initialize a dictionary to store the minimum versions + min_versions = {} + + # Iterate over the libs in MIN_VERSION_LIBS + for lib in MIN_VERSION_LIBS: + # Check if the lib is present in the dependencies + if lib in dependencies: + # Get the version string + version_string = dependencies[lib] + + # Use parse_version to get the minimum supported version from version_string + min_version = get_min_version(version_string) + + # Store the minimum version in the min_versions dictionary + min_versions[lib] = min_version + + return min_versions + + +# Get the TOML file path from the command line argument +toml_file = sys.argv[1] + +# Call the function to get the minimum versions +min_versions = get_min_version_from_toml(toml_file) + +print(" ".join([f"{lib}=={version}" for lib, version in min_versions.items()])) diff --git a/.github/workflows/_integration_test.yml b/.github/workflows/_integration_test.yml index e0dcf25c13569..8f64e2bfd47e6 100644 --- a/.github/workflows/_integration_test.yml +++ b/.github/workflows/_integration_test.yml @@ -57,6 +57,8 @@ jobs: GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }} EXA_API_KEY: ${{ secrets.EXA_API_KEY }} NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }} + PINECONE_API_KEY: ${{ secrets.PINECONE_API_KEY }} + PINECONE_ENVIRONMENT: ${{ secrets.PINECONE_ENVIRONMENT }} run: | make integration_tests diff --git a/.github/workflows/_lint.yml b/.github/workflows/_lint.yml index e2e3877c5542c..e2e25fb8ebc5e 100644 --- a/.github/workflows/_lint.yml +++ b/.github/workflows/_lint.yml @@ -80,7 +80,7 @@ jobs: poetry run pip install -e "$LANGCHAIN_LOCATION" - name: Get .mypy_cache to speed up mypy - uses: actions/cache@v3 + uses: actions/cache@v4 env: SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2" with: @@ -94,7 +94,7 @@ jobs: run: | make lint_package - - name: Install test dependencies + - name: Install unit test dependencies # Also installs dev/lint/test/typing dependencies, to ensure we have # type hints for as many of our libraries as possible. # This helps catch errors that require dependencies to be spotted, for example: @@ -103,12 +103,18 @@ jobs: # If you change this configuration, make sure to change the `cache-key` # in the `poetry_setup` action above to stop using the old cache. # It doesn't matter how you change it, any change will cause a cache-bust. + if: ${{ ! startsWith(inputs.working-directory, 'libs/partners/') }} working-directory: ${{ inputs.working-directory }} run: | poetry install --with test + - name: Install unit+integration test dependencies + if: ${{ startsWith(inputs.working-directory, 'libs/partners/') }} + working-directory: ${{ inputs.working-directory }} + run: | + poetry install --with test,test_integration - name: Get .mypy_cache_test to speed up mypy - uses: actions/cache@v3 + uses: actions/cache@v4 env: SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2" with: diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml index c37d87e0ad124..4fe5cdaf5030a 100644 --- a/.github/workflows/_release.yml +++ b/.github/workflows/_release.yml @@ -15,7 +15,7 @@ on: default: 'libs/langchain' env: - PYTHON_VERSION: "3.10" + PYTHON_VERSION: "3.11" POETRY_VERSION: "1.7.1" jobs: @@ -176,13 +176,25 @@ jobs: GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }} EXA_API_KEY: ${{ secrets.EXA_API_KEY }} NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }} + PINECONE_API_KEY: ${{ secrets.PINECONE_API_KEY }} + PINECONE_ENVIRONMENT: ${{ secrets.PINECONE_ENVIRONMENT }} run: make integration_tests working-directory: ${{ inputs.working-directory }} + - name: Get minimum versions + working-directory: ${{ inputs.working-directory }} + id: min-version + run: | + poetry run pip install packaging + min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml)" + echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT" + echo "min-versions=$min_versions" + - name: Run unit tests with minimum dependency versions - if: ${{ (inputs.working-directory == 'libs/langchain') || (inputs.working-directory == 'libs/community') || (inputs.working-directory == 'libs/experimental') }} + env: + MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }} run: | - poetry run pip install -r _test_minimum_requirements.txt + poetry run pip install $MIN_VERSIONS make tests working-directory: ${{ inputs.working-directory }} diff --git a/docs/api_reference/conf.py b/docs/api_reference/conf.py index 2a3defb19117b..e993048fc57f4 100644 --- a/docs/api_reference/conf.py +++ b/docs/api_reference/conf.py @@ -146,6 +146,7 @@ def setup(app): (p.name, p.name.replace("-", "_") + "_api_reference") for p in partners_dir.iterdir() ] +partners = sorted(partners) html_context = { "display_github": True, # Integrate GitHub diff --git a/docs/docs/additional_resources/tutorials.mdx b/docs/docs/additional_resources/tutorials.mdx index 3a68017f9fcd2..49d3b4fda012f 100644 --- a/docs/docs/additional_resources/tutorials.mdx +++ b/docs/docs/additional_resources/tutorials.mdx @@ -2,7 +2,7 @@ Below are links to tutorials and courses on LangChain. For written guides on common use cases for LangChain, check out the [use cases guides](/docs/use_cases). -⛓ icon marks a new addition [last update 2023-09-21] +⛓ icon marks a new addition [last update 2024-02-06] --------------------- @@ -10,18 +10,20 @@ Below are links to tutorials and courses on LangChain. For written guides on com ### Books -#### ⛓[Generative AI with LangChain](https://www.amazon.com/Generative-AI-LangChain-language-ChatGPT/dp/1835083463/ref=sr_1_1?crid=1GMOMH0G7GLR&keywords=generative+ai+with+langchain&qid=1703247181&sprefix=%2Caps%2C298&sr=8-1) by [Ben Auffrath](https://www.amazon.com/stores/Ben-Auffarth/author/B08JQKSZ7D?ref=ap_rdr&store_ref=ap_rdr&isDramIntegrated=true&shoppingPortalEnabled=true), ©️ 2023 Packt Publishing +#### [Generative AI with LangChain](https://www.amazon.com/Generative-AI-LangChain-language-ChatGPT/dp/1835083463/ref=sr_1_1?crid=1GMOMH0G7GLR&keywords=generative+ai+with+langchain&qid=1703247181&sprefix=%2Caps%2C298&sr=8-1) by [Ben Auffrath](https://www.amazon.com/stores/Ben-Auffarth/author/B08JQKSZ7D?ref=ap_rdr&store_ref=ap_rdr&isDramIntegrated=true&shoppingPortalEnabled=true), ©️ 2023 Packt Publishing ### DeepLearning.AI courses by [Harrison Chase](https://en.wikipedia.org/wiki/LangChain) and [Andrew Ng](https://en.wikipedia.org/wiki/Andrew_Ng) - [LangChain for LLM Application Development](https://learn.deeplearning.ai/langchain) - [LangChain Chat with Your Data](https://learn.deeplearning.ai/langchain-chat-with-your-data) -- ⛓ [Functions, Tools and Agents with LangChain](https://learn.deeplearning.ai/functions-tools-agents-langchain) +- [Functions, Tools and Agents with LangChain](https://learn.deeplearning.ai/functions-tools-agents-langchain) ### Handbook [LangChain AI Handbook](https://www.pinecone.io/learn/langchain/) By **James Briggs** and **Francisco Ingham** +⛓ [LangChain Cheatsheet](https://pub.towardsai.net/langchain-cheatsheet-all-secrets-on-a-single-page-8be26b721cde) by **Ivan Reznikov** + ### Short Tutorials [LangChain Explained in 13 Minutes | QuickStart Tutorial for Beginners](https://youtu.be/aywZrzNaKjs) by [Rabbitmetrics](https://www.youtube.com/@rabbitmetrics) @@ -29,6 +31,8 @@ Below are links to tutorials and courses on LangChain. For written guides on com [LangChain Crash Course - Build apps with language models](https://youtu.be/LbT1yp6quS8) by [Patrick Loeber](https://www.youtube.com/@patloeber) +⛓ [LangChain 101 Course](https://medium.com/@ivanreznikov/langchain-101-course-updated-668f7b41d6cb) by **Ivan Reznikov** + ## Tutorials ### [LangChain for Gen AI and LLMs](https://www.youtube.com/playlist?list=PLIUOU7oqGTLieV9uTIFMm6_4PXg-hlN6F) by [James Briggs](https://www.youtube.com/@jamesbriggs) @@ -44,8 +48,8 @@ Below are links to tutorials and courses on LangChain. For written guides on com - #9 [Build Conversational Agents with Vector DBs](https://youtu.be/H6bCqqw9xyI) - [Using NEW `MPT-7B` in Hugging Face and LangChain](https://youtu.be/DXpk9K7DgMo) - [`MPT-30B` Chatbot with LangChain](https://youtu.be/pnem-EhT6VI) -- ⛓ [Fine-tuning OpenAI's `GPT 3.5` for LangChain Agents](https://youtu.be/boHXgQ5eQic?si=OOOfK-GhsgZGBqSr) -- ⛓ [Chatbots with `RAG`: LangChain Full Walkthrough](https://youtu.be/LhnCsygAvzY?si=N7k6xy4RQksbWwsQ) +- [Fine-tuning OpenAI's `GPT 3.5` for LangChain Agents](https://youtu.be/boHXgQ5eQic?si=OOOfK-GhsgZGBqSr) +- [Chatbots with `RAG`: LangChain Full Walkthrough](https://youtu.be/LhnCsygAvzY?si=N7k6xy4RQksbWwsQ) ### [LangChain 101](https://www.youtube.com/playlist?list=PLqZXAkvF1bPNQER9mLmDbntNfSpzdDIU5) by [Greg Kamradt (Data Indy)](https://www.youtube.com/@DataIndependent) @@ -109,16 +113,16 @@ Below are links to tutorials and courses on LangChain. For written guides on com - [What can you do with 16K tokens in LangChain?](https://youtu.be/z2aCZBAtWXs) - [Tagging and Extraction - Classification using `OpenAI Functions`](https://youtu.be/a8hMgIcUEnE) - [HOW to Make Conversational Form with LangChain](https://youtu.be/IT93On2LB5k) -- ⛓ [`Claude-2` meets LangChain!](https://youtu.be/Hb_D3p0bK2U?si=j96Kc7oJoeRI5-iC) -- ⛓ [`PaLM 2` Meets LangChain](https://youtu.be/orPwLibLqm4?si=KgJjpEbAD9YBPqT4) -- ⛓ [`LLaMA2` with LangChain - Basics | LangChain TUTORIAL](https://youtu.be/cIRzwSXB4Rc?si=v3Hwxk1m3fksBIHN) -- ⛓ [Serving `LLaMA2` with `Replicate`](https://youtu.be/JIF4nNi26DE?si=dSazFyC4UQmaR-rJ) -- ⛓ [NEW LangChain Expression Language](https://youtu.be/ud7HJ2p3gp0?si=8pJ9O6hGbXrCX5G9) -- ⛓ [Building a RCI Chain for Agents with LangChain Expression Language](https://youtu.be/QaKM5s0TnsY?si=0miEj-o17AHcGfLG) -- ⛓ [How to Run `LLaMA-2-70B` on the `Together AI`](https://youtu.be/Tc2DHfzHeYE?si=Xku3S9dlBxWQukpe) -- ⛓ [`RetrievalQA` with `LLaMA 2 70b` & `Chroma` DB](https://youtu.be/93yueQQnqpM?si=ZMwj-eS_CGLnNMXZ) -- ⛓ [How to use `BGE Embeddings` for LangChain](https://youtu.be/sWRvSG7vL4g?si=85jnvnmTCF9YIWXI) -- ⛓ [How to use Custom Prompts for `RetrievalQA` on `LLaMA-2 7B`](https://youtu.be/PDwUKves9GY?si=sMF99TWU0p4eiK80) +- [`Claude-2` meets LangChain!](https://youtu.be/Hb_D3p0bK2U?si=j96Kc7oJoeRI5-iC) +- [`PaLM 2` Meets LangChain](https://youtu.be/orPwLibLqm4?si=KgJjpEbAD9YBPqT4) +- [`LLaMA2` with LangChain - Basics | LangChain TUTORIAL](https://youtu.be/cIRzwSXB4Rc?si=v3Hwxk1m3fksBIHN) +- [Serving `LLaMA2` with `Replicate`](https://youtu.be/JIF4nNi26DE?si=dSazFyC4UQmaR-rJ) +- [NEW LangChain Expression Language](https://youtu.be/ud7HJ2p3gp0?si=8pJ9O6hGbXrCX5G9) +- [Building a RCI Chain for Agents with LangChain Expression Language](https://youtu.be/QaKM5s0TnsY?si=0miEj-o17AHcGfLG) +- [How to Run `LLaMA-2-70B` on the `Together AI`](https://youtu.be/Tc2DHfzHeYE?si=Xku3S9dlBxWQukpe) +- [`RetrievalQA` with `LLaMA 2 70b` & `Chroma` DB](https://youtu.be/93yueQQnqpM?si=ZMwj-eS_CGLnNMXZ) +- [How to use `BGE Embeddings` for LangChain](https://youtu.be/sWRvSG7vL4g?si=85jnvnmTCF9YIWXI) +- [How to use Custom Prompts for `RetrievalQA` on `LLaMA-2 7B`](https://youtu.be/PDwUKves9GY?si=sMF99TWU0p4eiK80) ### [LangChain](https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr) by [Prompt Engineering](https://www.youtube.com/@engineerprompt) @@ -131,8 +135,8 @@ Below are links to tutorials and courses on LangChain. For written guides on com - [LangChain: Giving Memory to LLMs](https://youtu.be/dxO6pzlgJiY) - [BEST OPEN Alternative to `OPENAI's EMBEDDINGs` for Retrieval QA: LangChain](https://youtu.be/ogEalPMUCSY) - [LangChain: Run Language Models Locally - `Hugging Face Models`](https://youtu.be/Xxxuw4_iCzw) -- ⛓ [Slash API Costs: Mastering Caching for LLM Applications](https://youtu.be/EQOznhaJWR0?si=AXoI7f3-SVFRvQUl) -- ⛓ [Avoid PROMPT INJECTION with `Constitutional AI` - LangChain](https://youtu.be/tyKSkPFHVX8?si=9mgcB5Y1kkotkBGB) +- [Slash API Costs: Mastering Caching for LLM Applications](https://youtu.be/EQOznhaJWR0?si=AXoI7f3-SVFRvQUl) +- [Avoid PROMPT INJECTION with `Constitutional AI` - LangChain](https://youtu.be/tyKSkPFHVX8?si=9mgcB5Y1kkotkBGB) ### LangChain by [Chat with data](https://www.youtube.com/@chatwithdata) @@ -148,4 +152,4 @@ Below are links to tutorials and courses on LangChain. For written guides on com --------------------- -⛓ icon marks a new addition [last update 2023-09-21] +⛓ icon marks a new addition [last update 2024-02-061] diff --git a/docs/docs/integrations/chat/anthropic.ipynb b/docs/docs/integrations/chat/anthropic.ipynb index f8aa35142de11..008d290fa3c82 100644 --- a/docs/docs/integrations/chat/anthropic.ipynb +++ b/docs/docs/integrations/chat/anthropic.ipynb @@ -90,16 +90,20 @@ } ], "source": [ - "system = \"You are a helpful assistant that translates {input_language} to {output_language}.\"\n", + "system = (\n", + " \"You are a helpful assistant that translates {input_language} to {output_language}.\"\n", + ")\n", "human = \"{text}\"\n", "prompt = ChatPromptTemplate.from_messages([(\"system\", system), (\"human\", human)])\n", "\n", "chain = prompt | chat\n", - "chain.invoke({\n", - " \"input_language\": \"English\",\n", - " \"output_language\": \"Korean\",\n", - " \"text\": \"I love Python\",\n", - "})" + "chain.invoke(\n", + " {\n", + " \"input_language\": \"English\",\n", + " \"output_language\": \"Korean\",\n", + " \"text\": \"I love Python\",\n", + " }\n", + ")" ] }, { diff --git a/docs/docs/integrations/chat/google_vertex_ai_palm.ipynb b/docs/docs/integrations/chat/google_vertex_ai_palm.ipynb index 885174f4a1b52..ecc7a653a0d92 100644 --- a/docs/docs/integrations/chat/google_vertex_ai_palm.ipynb +++ b/docs/docs/integrations/chat/google_vertex_ai_palm.ipynb @@ -424,9 +424,7 @@ "human = \"{text}\"\n", "prompt = ChatPromptTemplate.from_messages([(\"system\", system), (\"human\", human)])\n", "\n", - "chat = ChatVertexAI(\n", - " model_name=\"chat-bison\", max_output_tokens=1000, temperature=0.5\n", - ")\n", + "chat = ChatVertexAI(model_name=\"chat-bison\", max_output_tokens=1000, temperature=0.5)\n", "chain = prompt | chat\n", "\n", "asyncio.run(\n", diff --git a/docs/docs/integrations/document_loaders/github.ipynb b/docs/docs/integrations/document_loaders/github.ipynb index 3d9f57243f0cd..4b7bb7cdb2823 100644 --- a/docs/docs/integrations/document_loaders/github.ipynb +++ b/docs/docs/integrations/document_loaders/github.ipynb @@ -6,7 +6,7 @@ "source": [ "# GitHub\n", "\n", - "This notebooks shows how you can load issues and pull requests (PRs) for a given repository on [GitHub](https://github.com/). We will use the LangChain Python repository as an example." + "This notebooks shows how you can load issues and pull requests (PRs) for a given repository on [GitHub](https://github.com/). Also shows how you can load github files for agiven repository on [GitHub](https://github.com/). We will use the LangChain Python repository as an example." ] }, { @@ -46,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": { "tags": [] }, @@ -57,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -91,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -100,27 +100,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# Creates GitHubLoader (#5257)\r\n", - "\r\n", - "GitHubLoader is a DocumentLoader that loads issues and PRs from GitHub.\r\n", - "\r\n", - "Fixes #5257\r\n", - "\r\n", - "Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested:\r\n", - "DataLoaders\r\n", - "- @eyurtsev\r\n", - "\n", - "{'url': 'https://github.com/langchain-ai/langchain/pull/5408', 'title': 'DocumentLoader for GitHub', 'creator': 'UmerHA', 'created_at': '2023-05-29T14:50:53Z', 'comments': 0, 'state': 'open', 'labels': ['enhancement', 'lgtm', 'doc loader'], 'assignee': None, 'milestone': None, 'locked': False, 'number': 5408, 'is_pull_request': True}\n" - ] - } - ], + "outputs": [], "source": [ "print(docs[0].page_content)\n", "print(docs[0].metadata)" @@ -142,7 +124,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -157,84 +139,68 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "### System Info\n", - "\n", - "LangChain version = 0.0.167\r\n", - "Python version = 3.11.0\r\n", - "System = Windows 11 (using Jupyter)\n", - "\n", - "### Who can help?\n", - "\n", - "- @hwchase17\r\n", - "- @agola11\r\n", - "- @UmerHA (I have a fix ready, will submit a PR)\n", - "\n", - "### Information\n", - "\n", - "- [ ] The official example notebooks/scripts\n", - "- [X] My own modified scripts\n", - "\n", - "### Related Components\n", - "\n", - "- [X] LLMs/Chat Models\n", - "- [ ] Embedding Models\n", - "- [X] Prompts / Prompt Templates / Prompt Selectors\n", - "- [ ] Output Parsers\n", - "- [ ] Document Loaders\n", - "- [ ] Vector Stores / Retrievers\n", - "- [ ] Memory\n", - "- [ ] Agents / Agent Executors\n", - "- [ ] Tools / Toolkits\n", - "- [ ] Chains\n", - "- [ ] Callbacks/Tracing\n", - "- [ ] Async\n", - "\n", - "### Reproduction\n", - "\n", - "```\r\n", - "import os\r\n", - "os.environ[\"OPENAI_API_KEY\"] = \"...\"\r\n", - "\r\n", - "from langchain.chains import LLMChain\r\n", - "from langchain_openai import ChatOpenAI\r\n", - "from langchain.prompts import PromptTemplate\r\n", - "from langchain.prompts.chat import ChatPromptTemplate\r\n", - "from langchain.schema import messages_from_dict\r\n", - "\r\n", - "role_strings = [\r\n", - " (\"system\", \"you are a bird expert\"), \r\n", - " (\"human\", \"which bird has a point beak?\")\r\n", - "]\r\n", - "prompt = ChatPromptTemplate.from_role_strings(role_strings)\r\n", - "chain = LLMChain(llm=ChatOpenAI(), prompt=prompt)\r\n", - "chain.run({})\r\n", - "```\n", - "\n", - "### Expected behavior\n", - "\n", - "Chain should run\n", - "{'url': 'https://github.com/langchain-ai/langchain/issues/5027', 'title': \"ChatOpenAI models don't work with prompts created via ChatPromptTemplate.from_role_strings\", 'creator': 'UmerHA', 'created_at': '2023-05-20T10:39:18Z', 'comments': 1, 'state': 'open', 'labels': [], 'assignee': None, 'milestone': None, 'locked': False, 'number': 5027, 'is_pull_request': False}\n" - ] - } - ], + "outputs": [], "source": [ "print(docs[0].page_content)\n", "print(docs[0].metadata)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load Github File Content\n", + "\n", + "For below code, loads all markdown file in rpeo `langchain-ai/langchain`" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from langchain.document_loaders import GithubFileLoader" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "loader = GithubFileLoader(\n", + " repo=\"langchain-ai/langchain\", # the repo name\n", + " access_token=ACCESS_TOKEN,\n", + " github_api_url=\"https://api.github.com\",\n", + " file_filter=lambda file_path: file_path.endswith(\n", + " \".md\"\n", + " ), # load all markdowns files.\n", + ")\n", + "documents = loader.load()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "example output of one of document: \n", + "\n", + "```json\n", + "documents.metadata: \n", + " {\n", + " \"path\": \"README.md\",\n", + " \"sha\": \"82f1c4ea88ecf8d2dfsfx06a700e84be4\",\n", + " \"source\": \"https://github.com/langchain-ai/langchain/blob/master/README.md\"\n", + " }\n", + "documents.content:\n", + " mock content\n", + "```" + ] } ], "metadata": { @@ -253,7 +219,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.3" + "version": "3.9.1" } }, "nbformat": 4, diff --git a/docs/docs/integrations/llms/ollama.ipynb b/docs/docs/integrations/llms/ollama.ipynb index 79ea75898789d..51462902aec74 100644 --- a/docs/docs/integrations/llms/ollama.ipynb +++ b/docs/docs/integrations/llms/ollama.ipynb @@ -244,7 +244,7 @@ "\n", "def plt_img_base64(img_base64):\n", " \"\"\"\n", - " Disply base64 encoded string as image\n", + " Display base64 encoded string as image\n", "\n", " :param img_base64: Base64 string\n", " \"\"\"\n", diff --git a/docs/docs/integrations/platforms/index.mdx b/docs/docs/integrations/platforms/index.mdx index 9a5fcdf57c982..ee66df3324ae7 100644 --- a/docs/docs/integrations/platforms/index.mdx +++ b/docs/docs/integrations/platforms/index.mdx @@ -1,3 +1,8 @@ +--- +sidebar_position: 0 +sidebar_class_name: hidden +--- + # Providers LangChain integrates with many providers diff --git a/docs/docs/integrations/retrievers/self_query/pgvector_self_query.ipynb b/docs/docs/integrations/retrievers/self_query/pgvector_self_query.ipynb new file mode 100644 index 0000000000000..b647510936277 --- /dev/null +++ b/docs/docs/integrations/retrievers/self_query/pgvector_self_query.ipynb @@ -0,0 +1,308 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "13afcae7", + "metadata": {}, + "source": [ + "# PGVector\n", + "\n", + ">[PGVector](https://github.com/pgvector/pgvector) is a vector similarity search for Postgres.\n", + "\n", + "In the notebook, we'll demo the `SelfQueryRetriever` wrapped around a `PGVector` vector store." + ] + }, + { + "cell_type": "markdown", + "id": "68e75fb9", + "metadata": {}, + "source": [ + "## Creating a PGVector vector store\n", + "First we'll want to create a PGVector vector store and seed it with some data. We've created a small demo set of documents that contain summaries of movies.\n", + "\n", + "**Note:** The self-query retriever requires you to have `lark` installed (`pip install lark`). We also need the `` package." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "63a8af5b", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "%pip install --upgrade --quiet lark pgvector psycopg2-binary" + ] + }, + { + "cell_type": "markdown", + "id": "83811610-7df3-4ede-b268-68a6a83ba9e2", + "metadata": {}, + "source": [ + "We want to use `OpenAIEmbeddings` so we have to get the OpenAI API Key." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dd01b61b-7d32-4a55-85d6-b2d2d4f18840", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import getpass\n", + "import os\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb4a5787", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from langchain.schema import Document\n", + "from langchain_community.vectorstores import PGVector\n", + "from langchain_openai import OpenAIEmbeddings\n", + "\n", + "collection = \"Name of your collection\"\n", + "embeddings = OpenAIEmbeddings()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bcbe04d9", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "docs = [\n", + " Document(\n", + " page_content=\"A bunch of scientists bring back dinosaurs and mayhem breaks loose\",\n", + " metadata={\"year\": 1993, \"rating\": 7.7, \"genre\": \"science fiction\"},\n", + " ),\n", + " Document(\n", + " page_content=\"Leo DiCaprio gets lost in a dream within a dream within a dream within a ...\",\n", + " metadata={\"year\": 2010, \"director\": \"Christopher Nolan\", \"rating\": 8.2},\n", + " ),\n", + " Document(\n", + " page_content=\"A psychologist / detective gets lost in a series of dreams within dreams within dreams and Inception reused the idea\",\n", + " metadata={\"year\": 2006, \"director\": \"Satoshi Kon\", \"rating\": 8.6},\n", + " ),\n", + " Document(\n", + " page_content=\"A bunch of normal-sized women are supremely wholesome and some men pine after them\",\n", + " metadata={\"year\": 2019, \"director\": \"Greta Gerwig\", \"rating\": 8.3},\n", + " ),\n", + " Document(\n", + " page_content=\"Toys come alive and have a blast doing so\",\n", + " metadata={\"year\": 1995, \"genre\": \"animated\"},\n", + " ),\n", + " Document(\n", + " page_content=\"Three men walk into the Zone, three men walk out of the Zone\",\n", + " metadata={\n", + " \"year\": 1979,\n", + " \"director\": \"Andrei Tarkovsky\",\n", + " \"genre\": \"science fiction\",\n", + " \"rating\": 9.9,\n", + " },\n", + " ),\n", + "]\n", + "vectorstore = PGVector.from_documents(\n", + " docs,\n", + " embeddings,\n", + " collection_name=collection,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "5ecaab6d", + "metadata": {}, + "source": [ + "## Creating our self-querying retriever\n", + "Now we can instantiate our retriever. To do this we'll need to provide some information upfront about the metadata fields that our documents support and a short description of the document contents." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "86e34dbf", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from langchain.chains.query_constructor.base import AttributeInfo\n", + "from langchain.retrievers.self_query.base import SelfQueryRetriever\n", + "from langchain_openai import OpenAI\n", + "\n", + "metadata_field_info = [\n", + " AttributeInfo(\n", + " name=\"genre\",\n", + " description=\"The genre of the movie\",\n", + " type=\"string or list[string]\",\n", + " ),\n", + " AttributeInfo(\n", + " name=\"year\",\n", + " description=\"The year the movie was released\",\n", + " type=\"integer\",\n", + " ),\n", + " AttributeInfo(\n", + " name=\"director\",\n", + " description=\"The name of the movie director\",\n", + " type=\"string\",\n", + " ),\n", + " AttributeInfo(\n", + " name=\"rating\", description=\"A 1-10 rating for the movie\", type=\"float\"\n", + " ),\n", + "]\n", + "document_content_description = \"Brief summary of a movie\"\n", + "llm = OpenAI(temperature=0)\n", + "retriever = SelfQueryRetriever.from_llm(\n", + " llm, vectorstore, document_content_description, metadata_field_info, verbose=True\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "ea9df8d4", + "metadata": {}, + "source": [ + "## Testing it out\n", + "And now we can try actually using our retriever!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38a126e9", + "metadata": {}, + "outputs": [], + "source": [ + "# This example only specifies a relevant query\n", + "retriever.get_relevant_documents(\"What are some movies about dinosaurs\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fc3f1e6e", + "metadata": {}, + "outputs": [], + "source": [ + "# This example only specifies a filter\n", + "retriever.get_relevant_documents(\"I want to watch a movie rated higher than 8.5\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b19d4da0", + "metadata": {}, + "outputs": [], + "source": [ + "# This example specifies a query and a filter\n", + "retriever.get_relevant_documents(\"Has Greta Gerwig directed any movies about women\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f900e40e", + "metadata": {}, + "outputs": [], + "source": [ + "# This example specifies a composite filter\n", + "retriever.get_relevant_documents(\n", + " \"What's a highly rated (above 8.5) science fiction film?\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12a51522", + "metadata": {}, + "outputs": [], + "source": [ + "# This example specifies a query and composite filter\n", + "retriever.get_relevant_documents(\n", + " \"What's a movie after 1990 but before 2005 that's all about toys, and preferably is animated\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "39bd1de1-b9fe-4a98-89da-58d8a7a6ae51", + "metadata": {}, + "source": [ + "## Filter k\n", + "\n", + "We can also use the self query retriever to specify `k`: the number of documents to fetch.\n", + "\n", + "We can do this by passing `enable_limit=True` to the constructor." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "bff36b88-b506-4877-9c63-e5a1a8d78e64", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "retriever = SelfQueryRetriever.from_llm(\n", + " llm,\n", + " vectorstore,\n", + " document_content_description,\n", + " metadata_field_info,\n", + " enable_limit=True,\n", + " verbose=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2758d229-4f97-499c-819f-888acaf8ee10", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "# This example only specifies a relevant query\n", + "retriever.get_relevant_documents(\"what are two movies about dinosaurs\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/docs/integrations/toolkits/amadeus.ipynb b/docs/docs/integrations/toolkits/amadeus.ipynb index e97067c0f60de..787bd3dfbfcc5 100644 --- a/docs/docs/integrations/toolkits/amadeus.ipynb +++ b/docs/docs/integrations/toolkits/amadeus.ipynb @@ -12,7 +12,7 @@ "\n", "To use this toolkit, you will need to have your Amadeus API keys ready, explained in the [Get started Amadeus Self-Service APIs](https://developers.amadeus.com/get-started/get-started-with-self-service-apis-335). Once you've received a AMADEUS_CLIENT_ID and AMADEUS_CLIENT_SECRET, you can input them as environmental variables below.\n", "\n", - "Note: Amadeus Self-Service APIs offers a test enviornment with [free limited data](https://amadeus4dev.github.io/developer-guides/test-data/). This allows developers to build and test their applications before deploying them to production. To access real-time data, you will need to [move to the production environment](https://amadeus4dev.github.io/developer-guides/API-Keys/moving-to-production/)." + "Note: Amadeus Self-Service APIs offers a test environment with [free limited data](https://amadeus4dev.github.io/developer-guides/test-data/). This allows developers to build and test their applications before deploying them to production. To access real-time data, you will need to [move to the production environment](https://amadeus4dev.github.io/developer-guides/API-Keys/moving-to-production/)." ] }, { diff --git a/docs/docs/use_cases/csv.ipynb b/docs/docs/use_cases/csv.ipynb index 7ef34f8412f49..589faa169506a 100644 --- a/docs/docs/use_cases/csv.ipynb +++ b/docs/docs/use_cases/csv.ipynb @@ -460,9 +460,7 @@ "Given a user question, write the Python code to answer it. \\\n", "Return ONLY the valid Python code and nothing else. \\\n", "Don't assume you have access to any libraries other than built-in Python ones and pandas.\"\"\"\n", - "prompt = ChatPromptTemplate.from_messages(\n", - " [(\"system\", system), (\"human\", \"{question}\")]\n", - ")\n", + "prompt = ChatPromptTemplate.from_messages([(\"system\", system), (\"human\", \"{question}\")])\n", "code_chain = prompt | llm_with_tools | parser\n", "code_chain.invoke({\"question\": \"What's the correlation between age and fare\"})" ] diff --git a/docs/docs/use_cases/sql/agents.ipynb b/docs/docs/use_cases/sql/agents.ipynb index 9b013f8996301..9a91a34a8ccc0 100644 --- a/docs/docs/use_cases/sql/agents.ipynb +++ b/docs/docs/use_cases/sql/agents.ipynb @@ -721,7 +721,9 @@ "\n", "If the question does not seem related to the database, just return \"I don't know\" as the answer.\"\"\"\n", "\n", - "prompt = ChatPromptTemplate.from_messages([(\"system\", system), (\"human\", \"{input}\"), MessagesPlaceholder(\"agent_scratchpad\")])\n", + "prompt = ChatPromptTemplate.from_messages(\n", + " [(\"system\", system), (\"human\", \"{input}\"), MessagesPlaceholder(\"agent_scratchpad\")]\n", + ")\n", "agent = create_sql_agent(\n", " llm=llm,\n", " db=db,\n", diff --git a/docs/docs/use_cases/sql/query_checking.ipynb b/docs/docs/use_cases/sql/query_checking.ipynb index fcb5d44a2ba30..238776d0e6cca 100644 --- a/docs/docs/use_cases/sql/query_checking.ipynb +++ b/docs/docs/use_cases/sql/query_checking.ipynb @@ -294,11 +294,15 @@ "First draft: <>\n", "Final answer: <>\n", "\"\"\"\n", - "prompt = ChatPromptTemplate.from_messages([(\"system\", system), (\"human\", \"{input}\")]).partial(dialect=db.dialect)\n", + "prompt = ChatPromptTemplate.from_messages(\n", + " [(\"system\", system), (\"human\", \"{input}\")]\n", + ").partial(dialect=db.dialect)\n", + "\n", "\n", "def parse_final_answer(output: str) -> str:\n", " return output.split(\"Final answer: \")[1]\n", - " \n", + "\n", + "\n", "chain = create_sql_query_chain(llm, db, prompt=prompt) | parse_final_answer\n", "prompt.pretty_print()" ] diff --git a/docs/sidebars.js b/docs/sidebars.js index ba924e5a38a5c..3918fe92795ff 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -101,9 +101,9 @@ module.exports = { items: [ { type: "category", label: "LLMs", collapsed: true, items: [{type:"autogenerated", dirName: "integrations/llms" }], link: { type: 'doc', id: "integrations/llms/index"}}, { type: "category", label: "Chat models", collapsed: true, items: [{type:"autogenerated", dirName: "integrations/chat" }], link: { type: 'doc', id: "integrations/chat/index"}}, + { type: "category", label: "Embedding models", collapsed: true, items: [{type: "autogenerated", dirName: "integrations/text_embedding" }], link: {type: "generated-index", slug: "integrations/text_embedding" }}, { type: "category", label: "Document loaders", collapsed: true, items: [{type:"autogenerated", dirName: "integrations/document_loaders" }], link: {type: "generated-index", slug: "integrations/document_loaders" }}, { type: "category", label: "Document transformers", collapsed: true, items: [{type: "autogenerated", dirName: "integrations/document_transformers" }], link: {type: "generated-index", slug: "integrations/document_transformers" }}, - { type: "category", label: "Text embedding models", collapsed: true, items: [{type: "autogenerated", dirName: "integrations/text_embedding" }], link: {type: "generated-index", slug: "integrations/text_embedding" }}, { type: "category", label: "Vector stores", collapsed: true, items: [{type: "autogenerated", dirName: "integrations/vectorstores" }], link: {type: "generated-index", slug: "integrations/vectorstores" }}, { type: "category", label: "Retrievers", collapsed: true, items: [{type: "autogenerated", dirName: "integrations/retrievers" }], link: {type: "generated-index", slug: "integrations/retrievers" }}, { type: "category", label: "Tools", collapsed: true, items: [{type: "autogenerated", dirName: "integrations/tools" }], link: {type: "generated-index", slug: "integrations/tools" }}, diff --git a/libs/community/_test_minimum_requirements.txt b/libs/community/_test_minimum_requirements.txt deleted file mode 100644 index 1918982f0d841..0000000000000 --- a/libs/community/_test_minimum_requirements.txt +++ /dev/null @@ -1 +0,0 @@ -langchain-core==0.1.16 diff --git a/libs/community/langchain_community/document_loaders/__init__.py b/libs/community/langchain_community/document_loaders/__init__.py index b06f416d4daad..869b0dca0329b 100644 --- a/libs/community/langchain_community/document_loaders/__init__.py +++ b/libs/community/langchain_community/document_loaders/__init__.py @@ -102,7 +102,10 @@ from langchain_community.document_loaders.geodataframe import GeoDataFrameLoader from langchain_community.document_loaders.git import GitLoader from langchain_community.document_loaders.gitbook import GitbookLoader -from langchain_community.document_loaders.github import GitHubIssuesLoader +from langchain_community.document_loaders.github import ( + GithubFileLoader, + GitHubIssuesLoader, +) from langchain_community.document_loaders.google_speech_to_text import ( GoogleSpeechToTextLoader, ) @@ -296,6 +299,7 @@ "GCSDirectoryLoader", "GCSFileLoader", "GeoDataFrameLoader", + "GithubFileLoader", "GitHubIssuesLoader", "GitLoader", "GitbookLoader", diff --git a/libs/community/langchain_community/document_loaders/github.py b/libs/community/langchain_community/document_loaders/github.py index 77bdf7da6c76e..8a361a46e2b13 100644 --- a/libs/community/langchain_community/document_loaders/github.py +++ b/libs/community/langchain_community/document_loaders/github.py @@ -1,6 +1,7 @@ +import base64 from abc import ABC from datetime import datetime -from typing import Dict, Iterator, List, Literal, Optional, Union +from typing import Callable, Dict, Iterator, List, Literal, Optional, Union import requests from langchain_core.documents import Document @@ -20,7 +21,7 @@ class BaseGitHubLoader(BaseLoader, BaseModel, ABC): github_api_url: str = "https://api.github.com" """URL of GitHub API""" - @root_validator(pre=True) + @root_validator(pre=True, allow_reuse=True) def validate_environment(cls, values: Dict) -> Dict: """Validate that access token exists in environment.""" values["access_token"] = get_from_dict_or_env( @@ -65,7 +66,7 @@ class GitHubIssuesLoader(BaseGitHubLoader): """Only show notifications updated after the given time. This is a timestamp in ISO 8601 format: YYYY-MM-DDTHH:MM:SSZ.""" - @validator("since") + @validator("since", allow_reuse=True) def validate_since(cls, v: Optional[str]) -> Optional[str]: if v: try: @@ -186,3 +187,59 @@ def query_params(self) -> str: def url(self) -> str: """Create URL for GitHub API.""" return f"{self.github_api_url}/repos/{self.repo}/issues?{self.query_params}" + + +class GithubFileLoader(BaseGitHubLoader, ABC): + """Load GitHub File""" + + file_extension: str = ".md" + branch: str = "main" + + file_filter: Optional[Callable[[str], bool]] + + def get_file_paths(self) -> List[Dict]: + base_url = ( + f"{self.github_api_url}/api/v3/repos/{self.repo}/git/trees/" + f"{self.branch}?recursive=1" + ) + response = requests.get(base_url, headers=self.headers) + response.raise_for_status() + all_files = response.json()["tree"] + """ one element in all_files + { + 'path': '.github', + 'mode': '040000', + 'type': 'tree', + 'sha': '89a2ae046e8b59eb96531f123c0c6d4913885df1', + 'url': 'https://github.com/api/v3/repos/shufanhao/langchain/git/trees/89a2ae046e8b59eb96531f123c0c6d4913885dxxx' + } + """ + return [ + f + for f in all_files + if not (self.file_filter and not self.file_filter(f["path"])) + ] + + def get_file_content_by_path(self, path: str) -> str: + base_url = f"{self.github_api_url}/api/v3/repos/{self.repo}/contents/{path}" + response = requests.get(base_url, headers=self.headers) + response.raise_for_status() + + content_encoded = response.json()["content"] + return base64.b64decode(content_encoded).decode("utf-8") + + def load(self) -> List[Document]: + documents = [] + + files = self.get_file_paths() + for file in files: + content = self.get_file_content_by_path(file["path"]) + metadata = { + "path": file["path"], + "sha": file["sha"], + "source": f"{self.github_api_url}/{self.repo}/{file['type']}/" + f"{self.branch}/{file['path']}", + } + documents.append(Document(page_content=content, metadata=metadata)) + + return documents diff --git a/libs/community/poetry.lock b/libs/community/poetry.lock index 620a23816d5fe..207f139f811e9 100644 --- a/libs/community/poetry.lock +++ b/libs/community/poetry.lock @@ -258,13 +258,13 @@ trio = ["trio (<0.22)"] [[package]] name = "appnope" -version = "0.1.3" +version = "0.1.4" description = "Disable App Nap on macOS >= 10.9" optional = false -python-versions = "*" +python-versions = ">=3.6" files = [ - {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"}, - {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"}, + {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, + {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, ] [[package]] @@ -702,17 +702,17 @@ files = [ [[package]] name = "boto3" -version = "1.34.35" +version = "1.34.36" description = "The AWS SDK for Python" optional = false python-versions = ">= 3.8" files = [ - {file = "boto3-1.34.35-py3-none-any.whl", hash = "sha256:53897701ab4f307fbcfdade673eae809dfc5eabb6102053c84907aa27de66e53"}, - {file = "boto3-1.34.35.tar.gz", hash = "sha256:4052031f9ac18924e94be7c30a5f0af5843a4752b8c8cb9034cd978be252b61b"}, + {file = "boto3-1.34.36-py3-none-any.whl", hash = "sha256:1e38a4ea4bb8bc66fbb858abb411820709fda5d6c5604c2da0f696653d49c684"}, + {file = "boto3-1.34.36.tar.gz", hash = "sha256:7ec36deb7ccc9c4943510692303cf93883ef61dc2c79f8bd4d75ee42209559d3"}, ] [package.dependencies] -botocore = ">=1.34.35,<1.35.0" +botocore = ">=1.34.36,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -721,13 +721,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.35" +version = "1.34.36" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">= 3.8" files = [ - {file = "botocore-1.34.35-py3-none-any.whl", hash = "sha256:b67b8c865973202dc655a493317ae14b33d115e49ed6960874eb05d950167b37"}, - {file = "botocore-1.34.35.tar.gz", hash = "sha256:8a2b53ab772584a5f7e2fe1e4a59028b0602cfef8e39d622db7c6b670e4b1ee6"}, + {file = "botocore-1.34.36-py3-none-any.whl", hash = "sha256:3f39ae0165f1a27f621fc91a46fb59f87e819671fad106c230dadcc724892f70"}, + {file = "botocore-1.34.36.tar.gz", hash = "sha256:89c3dc15b6ffae146029df636d51b9952740051204c444ec765286b081c917bc"}, ] [package.dependencies] @@ -2058,60 +2058,60 @@ files = [ [[package]] name = "fonttools" -version = "4.47.2" +version = "4.48.1" description = "Tools to manipulate font files" optional = true python-versions = ">=3.8" files = [ - {file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3b629108351d25512d4ea1a8393a2dba325b7b7d7308116b605ea3f8e1be88df"}, - {file = "fonttools-4.47.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c19044256c44fe299d9a73456aabee4b4d06c6b930287be93b533b4737d70aa1"}, - {file = "fonttools-4.47.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b8be28c036b9f186e8c7eaf8a11b42373e7e4949f9e9f370202b9da4c4c3f56c"}, - {file = "fonttools-4.47.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f83a4daef6d2a202acb9bf572958f91cfde5b10c8ee7fb1d09a4c81e5d851fd8"}, - {file = "fonttools-4.47.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:4a5a5318ba5365d992666ac4fe35365f93004109d18858a3e18ae46f67907670"}, - {file = "fonttools-4.47.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8f57ecd742545362a0f7186774b2d1c53423ed9ece67689c93a1055b236f638c"}, - {file = "fonttools-4.47.2-cp310-cp310-win32.whl", hash = "sha256:a1c154bb85dc9a4cf145250c88d112d88eb414bad81d4cb524d06258dea1bdc0"}, - {file = "fonttools-4.47.2-cp310-cp310-win_amd64.whl", hash = "sha256:3e2b95dce2ead58fb12524d0ca7d63a63459dd489e7e5838c3cd53557f8933e1"}, - {file = "fonttools-4.47.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:29495d6d109cdbabe73cfb6f419ce67080c3ef9ea1e08d5750240fd4b0c4763b"}, - {file = "fonttools-4.47.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0a1d313a415eaaba2b35d6cd33536560deeebd2ed758b9bfb89ab5d97dc5deac"}, - {file = "fonttools-4.47.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:90f898cdd67f52f18049250a6474185ef6544c91f27a7bee70d87d77a8daf89c"}, - {file = "fonttools-4.47.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3480eeb52770ff75140fe7d9a2ec33fb67b07efea0ab5129c7e0c6a639c40c70"}, - {file = "fonttools-4.47.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0255dbc128fee75fb9be364806b940ed450dd6838672a150d501ee86523ac61e"}, - {file = "fonttools-4.47.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f791446ff297fd5f1e2247c188de53c1bfb9dd7f0549eba55b73a3c2087a2703"}, - {file = "fonttools-4.47.2-cp311-cp311-win32.whl", hash = "sha256:740947906590a878a4bde7dd748e85fefa4d470a268b964748403b3ab2aeed6c"}, - {file = "fonttools-4.47.2-cp311-cp311-win_amd64.whl", hash = "sha256:63fbed184979f09a65aa9c88b395ca539c94287ba3a364517698462e13e457c9"}, - {file = "fonttools-4.47.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:4ec558c543609e71b2275c4894e93493f65d2f41c15fe1d089080c1d0bb4d635"}, - {file = "fonttools-4.47.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e040f905d542362e07e72e03612a6270c33d38281fd573160e1003e43718d68d"}, - {file = "fonttools-4.47.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6dd58cc03016b281bd2c74c84cdaa6bd3ce54c5a7f47478b7657b930ac3ed8eb"}, - {file = "fonttools-4.47.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:32ab2e9702dff0dd4510c7bb958f265a8d3dd5c0e2547e7b5f7a3df4979abb07"}, - {file = "fonttools-4.47.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3a808f3c1d1df1f5bf39be869b6e0c263570cdafb5bdb2df66087733f566ea71"}, - {file = "fonttools-4.47.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ac71e2e201df041a2891067dc36256755b1229ae167edbdc419b16da78732c2f"}, - {file = "fonttools-4.47.2-cp312-cp312-win32.whl", hash = "sha256:69731e8bea0578b3c28fdb43dbf95b9386e2d49a399e9a4ad736b8e479b08085"}, - {file = "fonttools-4.47.2-cp312-cp312-win_amd64.whl", hash = "sha256:b3e1304e5f19ca861d86a72218ecce68f391646d85c851742d265787f55457a4"}, - {file = "fonttools-4.47.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:254d9a6f7be00212bf0c3159e0a420eb19c63793b2c05e049eb337f3023c5ecc"}, - {file = "fonttools-4.47.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:eabae77a07c41ae0b35184894202305c3ad211a93b2eb53837c2a1143c8bc952"}, - {file = "fonttools-4.47.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a86a5ab2873ed2575d0fcdf1828143cfc6b977ac448e3dc616bb1e3d20efbafa"}, - {file = "fonttools-4.47.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:13819db8445a0cec8c3ff5f243af6418ab19175072a9a92f6cc8ca7d1452754b"}, - {file = "fonttools-4.47.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:4e743935139aa485fe3253fc33fe467eab6ea42583fa681223ea3f1a93dd01e6"}, - {file = "fonttools-4.47.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d49ce3ea7b7173faebc5664872243b40cf88814ca3eb135c4a3cdff66af71946"}, - {file = "fonttools-4.47.2-cp38-cp38-win32.whl", hash = "sha256:94208ea750e3f96e267f394d5588579bb64cc628e321dbb1d4243ffbc291b18b"}, - {file = "fonttools-4.47.2-cp38-cp38-win_amd64.whl", hash = "sha256:0f750037e02beb8b3569fbff701a572e62a685d2a0e840d75816592280e5feae"}, - {file = "fonttools-4.47.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3d71606c9321f6701642bd4746f99b6089e53d7e9817fc6b964e90d9c5f0ecc6"}, - {file = "fonttools-4.47.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:86e0427864c6c91cf77f16d1fb9bf1bbf7453e824589e8fb8461b6ee1144f506"}, - {file = "fonttools-4.47.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a00bd0e68e88987dcc047ea31c26d40a3c61185153b03457956a87e39d43c37"}, - {file = "fonttools-4.47.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5d77479fb885ef38a16a253a2f4096bc3d14e63a56d6246bfdb56365a12b20c"}, - {file = "fonttools-4.47.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5465df494f20a7d01712b072ae3ee9ad2887004701b95cb2cc6dcb9c2c97a899"}, - {file = "fonttools-4.47.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4c811d3c73b6abac275babb8aa439206288f56fdb2c6f8835e3d7b70de8937a7"}, - {file = "fonttools-4.47.2-cp39-cp39-win32.whl", hash = "sha256:5b60e3afa9635e3dfd3ace2757039593e3bd3cf128be0ddb7a1ff4ac45fa5a50"}, - {file = "fonttools-4.47.2-cp39-cp39-win_amd64.whl", hash = "sha256:7ee48bd9d6b7e8f66866c9090807e3a4a56cf43ffad48962725a190e0dd774c8"}, - {file = "fonttools-4.47.2-py3-none-any.whl", hash = "sha256:7eb7ad665258fba68fd22228a09f347469d95a97fb88198e133595947a20a184"}, - {file = "fonttools-4.47.2.tar.gz", hash = "sha256:7df26dd3650e98ca45f1e29883c96a0b9f5bb6af8d632a6a108bc744fa0bd9b3"}, -] - -[package.extras] -all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"] + {file = "fonttools-4.48.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:702ae93058c81f46461dc4b2c79f11d3c3d8fd7296eaf8f75b4ba5bbf813cd5f"}, + {file = "fonttools-4.48.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97f0a49fa6aa2d6205c6f72f4f98b74ef4b9bfdcb06fd78e6fe6c7af4989b63e"}, + {file = "fonttools-4.48.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3260db55f1843e57115256e91247ad9f68cb02a434b51262fe0019e95a98738"}, + {file = "fonttools-4.48.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e740a7602c2bb71e1091269b5dbe89549749a8817dc294b34628ffd8b2bf7124"}, + {file = "fonttools-4.48.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:4108b1d247953dd7c90ec8f457a2dec5fceb373485973cc852b14200118a51ee"}, + {file = "fonttools-4.48.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:56339ec557f0c342bddd7c175f5e41c45fc21282bee58a86bd9aa322bec715f2"}, + {file = "fonttools-4.48.1-cp310-cp310-win32.whl", hash = "sha256:bff5b38d0e76eb18e0b8abbf35d384e60b3371be92f7be36128ee3e67483b3ec"}, + {file = "fonttools-4.48.1-cp310-cp310-win_amd64.whl", hash = "sha256:f7449493886da6a17472004d3818cc050ba3f4a0aa03fb47972e4fa5578e6703"}, + {file = "fonttools-4.48.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:18b35fd1a850ed7233a99bbd6774485271756f717dac8b594958224b54118b61"}, + {file = "fonttools-4.48.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cad5cfd044ea2e306fda44482b3dd32ee47830fa82dfa4679374b41baa294f5f"}, + {file = "fonttools-4.48.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f30e605c7565d0da6f0aec75a30ec372072d016957cd8fc4469721a36ea59b7"}, + {file = "fonttools-4.48.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aee76fd81a8571c68841d6ef0da750d5ff08ff2c5f025576473016f16ac3bcf7"}, + {file = "fonttools-4.48.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:5057ade278e67923000041e2b195c9ea53e87f227690d499b6a4edd3702f7f01"}, + {file = "fonttools-4.48.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:b10633aafc5932995a391ec07eba5e79f52af0003a1735b2306b3dab8a056d48"}, + {file = "fonttools-4.48.1-cp311-cp311-win32.whl", hash = "sha256:0d533f89819f9b3ee2dbedf0fed3825c425850e32bdda24c558563c71be0064e"}, + {file = "fonttools-4.48.1-cp311-cp311-win_amd64.whl", hash = "sha256:d20588466367f05025bb1efdf4e5d498ca6d14bde07b6928b79199c588800f0a"}, + {file = "fonttools-4.48.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0a2417547462e468edf35b32e3dd06a6215ac26aa6316b41e03b8eeaf9f079ea"}, + {file = "fonttools-4.48.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cf5a0cd974f85a80b74785db2d5c3c1fd6cc09a2ba3c837359b2b5da629ee1b0"}, + {file = "fonttools-4.48.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0452fcbfbce752ba596737a7c5ec5cf76bc5f83847ce1781f4f90eab14ece252"}, + {file = "fonttools-4.48.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:578c00f93868f64a4102ecc5aa600a03b49162c654676c3fadc33de2ddb88a81"}, + {file = "fonttools-4.48.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:63dc592a16cd08388d8c4c7502b59ac74190b23e16dfc863c69fe1ea74605b68"}, + {file = "fonttools-4.48.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9b58638d8a85e3a1b32ec0a91d9f8171a877b4b81c408d4cb3257d0dee63e092"}, + {file = "fonttools-4.48.1-cp312-cp312-win32.whl", hash = "sha256:d10979ef14a8beaaa32f613bb698743f7241d92f437a3b5e32356dfb9769c65d"}, + {file = "fonttools-4.48.1-cp312-cp312-win_amd64.whl", hash = "sha256:cdfd7557d1bd294a200bd211aa665ca3b02998dcc18f8211a5532da5b8fad5c5"}, + {file = "fonttools-4.48.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:3cdb9a92521b81bf717ebccf592bd0292e853244d84115bfb4db0c426de58348"}, + {file = "fonttools-4.48.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9b4ec6d42a7555f5ae35f3b805482f0aad0f1baeeef54859492ea3b782959d4a"}, + {file = "fonttools-4.48.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:902e9c4e9928301912f34a6638741b8ae0b64824112b42aaf240e06b735774b1"}, + {file = "fonttools-4.48.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8c8b54bd1420c184a995f980f1a8076f87363e2bb24239ef8c171a369d85a31"}, + {file = "fonttools-4.48.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:12ee86abca46193359ea69216b3a724e90c66ab05ab220d39e3fc068c1eb72ac"}, + {file = "fonttools-4.48.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6978bade7b6c0335095bdd0bd97f8f3d590d2877b370f17e03e0865241694eb5"}, + {file = "fonttools-4.48.1-cp38-cp38-win32.whl", hash = "sha256:bcd77f89fc1a6b18428e7a55dde8ef56dae95640293bfb8f4e929929eba5e2a2"}, + {file = "fonttools-4.48.1-cp38-cp38-win_amd64.whl", hash = "sha256:f40441437b039930428e04fb05ac3a132e77458fb57666c808d74a556779e784"}, + {file = "fonttools-4.48.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:0d2b01428f7da26f229a5656defc824427b741e454b4e210ad2b25ed6ea2aed4"}, + {file = "fonttools-4.48.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:df48798f9a4fc4c315ab46e17873436c8746f5df6eddd02fad91299b2af7af95"}, + {file = "fonttools-4.48.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2eb4167bde04e172a93cf22c875d8b0cff76a2491f67f5eb069566215302d45d"}, + {file = "fonttools-4.48.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c900508c46274d32d308ae8e82335117f11aaee1f7d369ac16502c9a78930b0a"}, + {file = "fonttools-4.48.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:594206b31c95fcfa65f484385171fabb4ec69f7d2d7f56d27f17db26b7a31814"}, + {file = "fonttools-4.48.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:292922dc356d7f11f5063b4111a8b719efb8faea92a2a88ed296408d449d8c2e"}, + {file = "fonttools-4.48.1-cp39-cp39-win32.whl", hash = "sha256:4709c5bf123ba10eac210d2d5c9027d3f472591d9f1a04262122710fa3d23199"}, + {file = "fonttools-4.48.1-cp39-cp39-win_amd64.whl", hash = "sha256:63c73b9dd56a94a3cbd2f90544b5fca83666948a9e03370888994143b8d7c070"}, + {file = "fonttools-4.48.1-py3-none-any.whl", hash = "sha256:e3e33862fc5261d46d9aae3544acb36203b1a337d00bdb5d3753aae50dac860e"}, + {file = "fonttools-4.48.1.tar.gz", hash = "sha256:8b8a45254218679c7f1127812761e7854ed5c8e34349aebf581e8c9204e7495a"}, +] + +[package.extras] +all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"] graphite = ["lz4 (>=1.7.4.2)"] interpolatable = ["munkres", "pycairo", "scipy"] -lxml = ["lxml (>=4.0,<5)"] +lxml = ["lxml (>=4.0)"] pathops = ["skia-pathops (>=0.5.0)"] plot = ["matplotlib"] repacker = ["uharfbuzz (>=0.23.0)"] @@ -2430,13 +2430,13 @@ xai = ["tensorflow (>=2.3.0,<3.0.0dev)"] [[package]] name = "google-cloud-bigquery" -version = "3.17.1" +version = "3.17.2" description = "Google BigQuery API client library" optional = false python-versions = ">=3.7" files = [ - {file = "google-cloud-bigquery-3.17.1.tar.gz", hash = "sha256:0ae07b90d5052ba3a296a2210a2144c28469300d71f6f455881f94c2df543057"}, - {file = "google_cloud_bigquery-3.17.1-py2.py3-none-any.whl", hash = "sha256:7a9a92c7b1f6a6bf8b4c05c150e49f4ad1a03dd591dbd4522381b3f23bf07c73"}, + {file = "google-cloud-bigquery-3.17.2.tar.gz", hash = "sha256:6e1cf669a40e567ab3289c7b5f2056363da9fcb85d9a4736ee90240d4a7d84ea"}, + {file = "google_cloud_bigquery-3.17.2-py2.py3-none-any.whl", hash = "sha256:cdadf5283dca55a1a350bacf8c8a7466169d3cf46c5a0a3abc5e9aa0b0a51dee"}, ] [package.dependencies] @@ -3174,13 +3174,13 @@ files = [ [[package]] name = "ipykernel" -version = "6.29.0" +version = "6.29.1" description = "IPython Kernel for Jupyter" optional = false python-versions = ">=3.8" files = [ - {file = "ipykernel-6.29.0-py3-none-any.whl", hash = "sha256:076663ca68492576f051e4af7720d33f34383e655f2be0d544c8b1c9de915b2f"}, - {file = "ipykernel-6.29.0.tar.gz", hash = "sha256:b5dd3013cab7b330df712891c96cd1ab868c27a7159e606f762015e9bf8ceb3f"}, + {file = "ipykernel-6.29.1-py3-none-any.whl", hash = "sha256:e5dfba210fc9da74a5dae8fa6c41f816e11bd18d10381b2517d9a0d57cc987c4"}, + {file = "ipykernel-6.29.1.tar.gz", hash = "sha256:1547352b32da95a2761011a8dac2af930c26a0703dfa07690d16b7d74dac0ba1"}, ] [package.dependencies] @@ -3203,7 +3203,7 @@ cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"] docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"] pyqt5 = ["pyqt5"] pyside6 = ["pyside6"] -test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (==0.23.2)", "pytest-cov", "pytest-timeout"] +test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (==0.23.4)", "pytest-cov", "pytest-timeout"] [[package]] name = "ipython" @@ -3932,7 +3932,7 @@ files = [ [[package]] name = "langchain-core" -version = "0.1.18" +version = "0.1.19" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.8.1,<4.0" @@ -4348,13 +4348,13 @@ files = [ [[package]] name = "mlflow-skinny" -version = "2.10.0" +version = "2.10.1" description = "MLflow: A Platform for ML Development and Productionization" optional = true python-versions = ">=3.8" files = [ - {file = "mlflow-skinny-2.10.0.tar.gz", hash = "sha256:cff77342a163a2dda34ba9bd0442dee68638a4a6eff4ca0425a35aff19726758"}, - {file = "mlflow_skinny-2.10.0-py3-none-any.whl", hash = "sha256:214a4b56afa6df8867540d4f9dfb8e8601d34690045e86fe4db1d1994beb665c"}, + {file = "mlflow-skinny-2.10.1.tar.gz", hash = "sha256:34f761ced930f25dd9d593842cc46efc3736e3bef88c1bdf33c25c3e37a355d5"}, + {file = "mlflow_skinny-2.10.1-py3-none-any.whl", hash = "sha256:cd092c76ad25cc71cfc9a1dde1d45ddfbae2e1271c4baef3e7f9ee8e43985f88"}, ] [package.dependencies] @@ -4749,13 +4749,13 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>= [[package]] name = "nbconvert" -version = "7.14.2" +version = "7.15.0" description = "Converting Jupyter Notebooks" optional = false python-versions = ">=3.8" files = [ - {file = "nbconvert-7.14.2-py3-none-any.whl", hash = "sha256:db28590cef90f7faf2ebbc71acd402cbecf13d29176df728c0a9025a49345ea1"}, - {file = "nbconvert-7.14.2.tar.gz", hash = "sha256:a7f8808fd4e082431673ac538400218dd45efd076fbeb07cc6e5aa5a3a4e949e"}, + {file = "nbconvert-7.15.0-py3-none-any.whl", hash = "sha256:0efd3ca74fd1525560e0312cec235e57dfbf3c5c775c7e61e04c532b28f8da6f"}, + {file = "nbconvert-7.15.0.tar.gz", hash = "sha256:ff3f54a1a5e1e024beb9fde8946d05b6d0bf68cd14b5f2f9dc5b545c8bc71055"}, ] [package.dependencies] @@ -9324,4 +9324,4 @@ extended-testing = ["aiosqlite", "aleph-alpha-client", "anthropic", "arxiv", "as [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "0b962fcc5239d0c57ce7c17fec359e236fdff47970b4863286fd8ae82a9a2079" +content-hash = "d9be7110a6f92c4ba724d671b82d89f3776b096ba4c9b2ad97c9765f35bdba05" diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml index 976653eb21900..cf34ca4aac64f 100644 --- a/libs/community/pyproject.toml +++ b/libs/community/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langchain-community" -version = "0.0.17" +version = "0.0.18" description = "Community contributed LangChain integrations." authors = [] license = "MIT" @@ -9,7 +9,7 @@ repository = "https://github.com/langchain-ai/langchain" [tool.poetry.dependencies] python = ">=3.8.1,<4.0" -langchain-core = ">=0.1.16,<0.2" +langchain-core = ">=0.1.19,<0.2" SQLAlchemy = ">=1.4,<3" requests = "^2" PyYAML = ">=5.3" diff --git a/libs/community/tests/unit_tests/document_loaders/test_github.py b/libs/community/tests/unit_tests/document_loaders/test_github.py index 5641836dcd654..f9f74be69758b 100644 --- a/libs/community/tests/unit_tests/document_loaders/test_github.py +++ b/libs/community/tests/unit_tests/document_loaders/test_github.py @@ -1,8 +1,13 @@ +import base64 + import pytest from langchain_core.documents import Document from pytest_mock import MockerFixture -from langchain_community.document_loaders.github import GitHubIssuesLoader +from langchain_community.document_loaders.github import ( + GithubFileLoader, + GitHubIssuesLoader, +) def test_initialization() -> None: @@ -48,7 +53,7 @@ def test_invalid_initialization() -> None: GitHubIssuesLoader(since="not_a_date") -def test_load(mocker: MockerFixture) -> None: +def test_load_github_issue(mocker: MockerFixture) -> None: mocker.patch( "requests.get", return_value=mocker.MagicMock(json=lambda: [], links=None) ) @@ -127,3 +132,103 @@ def test_url() -> None: "&assignee=user1&creator=user2&mentioned=user3&labels=bug,ui,@high" "&sort=comments&direction=asc&since=2023-05-26T00:00:00Z" ) + + +def test_github_file_content_get_file_paths(mocker: MockerFixture) -> None: + # Mock the requests.get method to simulate the API response + mocker.patch( + "requests.get", + return_value=mocker.MagicMock( + json=lambda: { + "tree": [ + { + "path": "readme.md", + "mode": "100644", + "type": "blob", + "sha": "789", + "size": 37, + "url": "https://github.com/api/v3/repos/shufanhao/langchain/git/blobs/789", + } + ] + }, + status_code=200, + ), + ) + + # case1: add file_filter + loader = GithubFileLoader( + repo="shufanhao/langchain", + access_token="access_token", + github_api_url="https://github.com", + file_filter=lambda file_path: file_path.endswith(".md"), + ) + + # Call the load method + files = loader.get_file_paths() + + # Assert the results + assert len(files) == 1 + assert files[0]["path"] == "readme.md" + + # case2: didn't add file_filter + loader = GithubFileLoader( + repo="shufanhao/langchain", + access_token="access_token", + github_api_url="https://github.com", + ) + + # Call the load method + files = loader.get_file_paths() + assert len(files) == 1 + assert files[0]["path"] == "readme.md" + + # case3: add file_filter with a non-exist file path + loader = GithubFileLoader( + repo="shufanhao/langchain", + access_token="access_token", + github_api_url="https://github.com", + file_filter=lambda file_path: file_path.endswith(".py"), + ) + + # Call the load method + files = loader.get_file_paths() + assert len(files) == 0 + + +def test_github_file_content_loader(mocker: MockerFixture) -> None: + # Mock the requests.get method to simulate the API response + file_path_res = mocker.MagicMock( + json=lambda: { + "tree": [ + { + "path": "readme.md", + "mode": "100644", + "type": "blob", + "sha": "789", + "size": 37, + "url": "https://github.com/api/v3/repos/shufanhao/langchain/git/blobs/789", + } + ] + }, + status_code=200, + ) + file_content_res = mocker.MagicMock( + json=lambda: {"content": base64.b64encode("Mocked content".encode("utf-8"))}, + status_code=200, + ) + + mocker.patch("requests.get", side_effect=[file_path_res, file_content_res]) + + # case1: file_extension=".md" + loader = GithubFileLoader( + repo="shufanhao/langchain", + access_token="access_token", + github_api_url="https://github.com", + ) + + # Call the load method + docs = loader.load() + + assert len(docs) == 1 + assert docs[0].page_content == "Mocked content" + assert docs[0].metadata["sha"] == "789" diff --git a/libs/community/tests/unit_tests/document_loaders/test_imports.py b/libs/community/tests/unit_tests/document_loaders/test_imports.py index f4511686f7a52..d22f81aa19ba3 100644 --- a/libs/community/tests/unit_tests/document_loaders/test_imports.py +++ b/libs/community/tests/unit_tests/document_loaders/test_imports.py @@ -65,6 +65,7 @@ "GCSDirectoryLoader", "GCSFileLoader", "GeoDataFrameLoader", + "GithubFileLoader", "GitHubIssuesLoader", "GitLoader", "GitbookLoader", diff --git a/libs/core/pyproject.toml b/libs/core/pyproject.toml index 37b06c857f0e9..5b61e7f192a44 100644 --- a/libs/core/pyproject.toml +++ b/libs/core/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langchain-core" -version = "0.1.18" +version = "0.1.19" description = "Building applications with LLMs through composability" authors = [] license = "MIT" diff --git a/libs/experimental/_test_minimum_requirements.txt b/libs/experimental/_test_minimum_requirements.txt deleted file mode 100644 index 078f131ef8dcd..0000000000000 --- a/libs/experimental/_test_minimum_requirements.txt +++ /dev/null @@ -1,2 +0,0 @@ -langchain-core==0.1.16 -langchain==0.1.5 diff --git a/libs/experimental/tests/integration_tests/chains/test_sql_database.py b/libs/experimental/tests/integration_tests/chains/test_sql_database.py index da099f3bad298..b5cd3043c0d25 100644 --- a/libs/experimental/tests/integration_tests/chains/test_sql_database.py +++ b/libs/experimental/tests/integration_tests/chains/test_sql_database.py @@ -28,7 +28,7 @@ def test_sql_database_run() -> None: conn.execute(stmt) db = SQLDatabase(engine) db_chain = SQLDatabaseChain.from_llm(OpenAI(temperature=0), db) - output = db_chain.run("What company does Harrison work at?") + output = db_chain.invoke("What company does Harrison work at?") expected_output = " Harrison works at Foo." assert output == expected_output @@ -42,10 +42,10 @@ def test_sql_database_run_update() -> None: conn.execute(stmt) db = SQLDatabase(engine) db_chain = SQLDatabaseChain.from_llm(OpenAI(temperature=0), db) - output = db_chain.run("Update Harrison's workplace to Bar") + output = db_chain.invoke("Update Harrison's workplace to Bar") expected_output = " Harrison's workplace has been updated to Bar." assert output == expected_output - output = db_chain.run("What company does Harrison work at?") + output = db_chain.invoke("What company does Harrison work at?") expected_output = " Harrison works at Bar." assert output == expected_output @@ -60,7 +60,7 @@ def test_sql_database_sequential_chain_run() -> None: conn.execute(stmt) db = SQLDatabase(engine) db_chain = SQLDatabaseSequentialChain.from_llm(OpenAI(temperature=0), db) - output = db_chain.run("What company does Harrison work at?") + output = db_chain.invoke("What company does Harrison work at?") expected_output = " Harrison works at Foo." assert output == expected_output @@ -77,7 +77,7 @@ def test_sql_database_sequential_chain_intermediate_steps() -> None: db_chain = SQLDatabaseSequentialChain.from_llm( OpenAI(temperature=0), db, return_intermediate_steps=True ) - output = db_chain.run("What company does Harrison work at?") + output = db_chain.invoke("What company does Harrison work at?") expected_output = " Harrison works at Foo." assert output["result"] == expected_output diff --git a/libs/langchain/_test_minimum_requirements.txt b/libs/langchain/_test_minimum_requirements.txt deleted file mode 100644 index 84c789c84d7ee..0000000000000 --- a/libs/langchain/_test_minimum_requirements.txt +++ /dev/null @@ -1,2 +0,0 @@ -langchain-core==0.1.16 -langchain-community==0.0.17 diff --git a/libs/langchain/langchain/agents/conversational_chat/output_parser.py b/libs/langchain/langchain/agents/conversational_chat/output_parser.py index 46ccce6d57189..ea3a380f4bc92 100644 --- a/libs/langchain/langchain/agents/conversational_chat/output_parser.py +++ b/libs/langchain/langchain/agents/conversational_chat/output_parser.py @@ -4,19 +4,21 @@ from langchain_core.agents import AgentAction, AgentFinish from langchain_core.exceptions import OutputParserException -from langchain_core.output_parsers.json import parse_json_markdown from langchain.agents import AgentOutputParser from langchain.agents.conversational_chat.prompt import FORMAT_INSTRUCTIONS +from langchain.output_parsers.json import parse_json_markdown # Define a class that parses output for conversational agents class ConvoOutputParser(AgentOutputParser): """Output parser for the conversational agent.""" + format_instructions: str = FORMAT_INSTRUCTIONS + def get_format_instructions(self) -> str: """Returns formatting instructions for the given output parser.""" - return FORMAT_INSTRUCTIONS + return self.format_instructions def parse(self, text: str) -> Union[AgentAction, AgentFinish]: """Attempts to parse the given text into an AgentAction or AgentFinish. diff --git a/libs/langchain/langchain/retrievers/self_query/base.py b/libs/langchain/langchain/retrievers/self_query/base.py index 9c6a584a6e174..d54120ccfc3d8 100644 --- a/libs/langchain/langchain/retrievers/self_query/base.py +++ b/libs/langchain/langchain/retrievers/self_query/base.py @@ -12,6 +12,7 @@ MongoDBAtlasVectorSearch, MyScale, OpenSearchVectorSearch, + PGVector, Pinecone, Qdrant, Redis, @@ -43,6 +44,7 @@ from langchain.retrievers.self_query.mongodb_atlas import MongoDBAtlasTranslator from langchain.retrievers.self_query.myscale import MyScaleTranslator from langchain.retrievers.self_query.opensearch import OpenSearchTranslator +from langchain.retrievers.self_query.pgvector import PGVectorTranslator from langchain.retrievers.self_query.pinecone import PineconeTranslator from langchain.retrievers.self_query.qdrant import QdrantTranslator from langchain.retrievers.self_query.redis import RedisTranslator @@ -58,6 +60,7 @@ def _get_builtin_translator(vectorstore: VectorStore) -> Visitor: """Get the translator class corresponding to the vector store class.""" BUILTIN_TRANSLATORS: Dict[Type[VectorStore], Type[Visitor]] = { AstraDB: AstraDBTranslator, + PGVector: PGVectorTranslator, Pinecone: PineconeTranslator, Chroma: ChromaTranslator, DashVector: DashvectorTranslator, diff --git a/libs/langchain/langchain/retrievers/self_query/pgvector.py b/libs/langchain/langchain/retrievers/self_query/pgvector.py new file mode 100644 index 0000000000000..ebe5bf42ffc43 --- /dev/null +++ b/libs/langchain/langchain/retrievers/self_query/pgvector.py @@ -0,0 +1,52 @@ +from typing import Dict, Tuple, Union + +from langchain.chains.query_constructor.ir import ( + Comparator, + Comparison, + Operation, + Operator, + StructuredQuery, + Visitor, +) + + +class PGVectorTranslator(Visitor): + """Translate `PGVector` internal query language elements to valid filters.""" + + allowed_operators = [Operator.AND, Operator.OR] + """Subset of allowed logical operators.""" + allowed_comparators = [ + Comparator.EQ, + Comparator.NE, + Comparator.GT, + Comparator.LT, + Comparator.IN, + Comparator.NIN, + Comparator.CONTAIN, + Comparator.LIKE, + ] + """Subset of allowed logical comparators.""" + + def _format_func(self, func: Union[Operator, Comparator]) -> str: + self._validate_func(func) + return f"{func.value}" + + def visit_operation(self, operation: Operation) -> Dict: + args = [arg.accept(self) for arg in operation.arguments] + return {self._format_func(operation.operator): args} + + def visit_comparison(self, comparison: Comparison) -> Dict: + return { + comparison.attribute: { + self._format_func(comparison.comparator): comparison.value + } + } + + def visit_structured_query( + self, structured_query: StructuredQuery + ) -> Tuple[str, dict]: + if structured_query.filter is None: + kwargs = {} + else: + kwargs = {"filter": structured_query.filter.accept(self)} + return structured_query.query, kwargs diff --git a/libs/langchain/tests/unit_tests/retrievers/self_query/test_pgvector.py b/libs/langchain/tests/unit_tests/retrievers/self_query/test_pgvector.py new file mode 100644 index 0000000000000..451508bdab3d1 --- /dev/null +++ b/libs/langchain/tests/unit_tests/retrievers/self_query/test_pgvector.py @@ -0,0 +1,87 @@ +from typing import Dict, Tuple + +import pytest as pytest + +from langchain.chains.query_constructor.ir import ( + Comparator, + Comparison, + Operation, + Operator, + StructuredQuery, +) +from langchain.retrievers.self_query.pgvector import PGVectorTranslator + +DEFAULT_TRANSLATOR = PGVectorTranslator() + + +def test_visit_comparison() -> None: + comp = Comparison(comparator=Comparator.LT, attribute="foo", value=1) + expected = {"foo": {"lt": 1}} + actual = DEFAULT_TRANSLATOR.visit_comparison(comp) + assert expected == actual + + +@pytest.mark.skip("Not implemented") +def test_visit_operation() -> None: + op = Operation( + operator=Operator.AND, + arguments=[ + Comparison(comparator=Comparator.LT, attribute="foo", value=2), + Comparison(comparator=Comparator.EQ, attribute="bar", value="baz"), + Comparison(comparator=Comparator.GT, attribute="abc", value=2.0), + ], + ) + expected = { + "foo": {"lt": 2}, + "bar": {"eq": "baz"}, + "abc": {"gt": 2.0}, + } + actual = DEFAULT_TRANSLATOR.visit_operation(op) + assert expected == actual + + +def test_visit_structured_query() -> None: + query = "What is the capital of France?" + structured_query = StructuredQuery( + query=query, + filter=None, + ) + expected: Tuple[str, Dict] = (query, {}) + actual = DEFAULT_TRANSLATOR.visit_structured_query(structured_query) + assert expected == actual + + comp = Comparison(comparator=Comparator.LT, attribute="foo", value=1) + structured_query = StructuredQuery( + query=query, + filter=comp, + ) + expected = (query, {"filter": {"foo": {"lt": 1}}}) + actual = DEFAULT_TRANSLATOR.visit_structured_query(structured_query) + assert expected == actual + + op = Operation( + operator=Operator.AND, + arguments=[ + Comparison(comparator=Comparator.LT, attribute="foo", value=2), + Comparison(comparator=Comparator.EQ, attribute="bar", value="baz"), + Comparison(comparator=Comparator.GT, attribute="abc", value=2.0), + ], + ) + structured_query = StructuredQuery( + query=query, + filter=op, + ) + expected = ( + query, + { + "filter": { + "and": [ + {"foo": {"lt": 2}}, + {"bar": {"eq": "baz"}}, + {"abc": {"gt": 2.0}}, + ] + } + }, + ) + actual = DEFAULT_TRANSLATOR.visit_structured_query(structured_query) + assert expected == actual diff --git a/libs/partners/mistralai/langchain_mistralai/embeddings.py b/libs/partners/mistralai/langchain_mistralai/embeddings.py index de9c440626216..977dbdf95908d 100644 --- a/libs/partners/mistralai/langchain_mistralai/embeddings.py +++ b/libs/partners/mistralai/langchain_mistralai/embeddings.py @@ -1,5 +1,6 @@ +import asyncio import logging -from typing import Dict, List, Optional +from typing import Dict, Iterable, List, Optional from langchain_core.embeddings import Embeddings from langchain_core.pydantic_v1 import ( @@ -16,9 +17,12 @@ ENDPOINT as DEFAULT_MISTRAL_ENDPOINT, ) from mistralai.exceptions import MistralException +from tokenizers import Tokenizer # type: ignore logger = logging.getLogger(__name__) +MAX_TOKENS = 16_000 + class MistralAIEmbeddings(BaseModel, Embeddings): """MistralAI embedding models. @@ -43,6 +47,7 @@ class MistralAIEmbeddings(BaseModel, Embeddings): max_retries: int = 5 timeout: int = 120 max_concurrent_requests: int = 64 + tokenizer: Tokenizer = Field(default=None) model: str = "mistral-embed" @@ -72,8 +77,33 @@ def validate_environment(cls, values: Dict) -> Dict: timeout=values["timeout"], max_concurrent_requests=values["max_concurrent_requests"], ) + if values["tokenizer"] is None: + values["tokenizer"] = Tokenizer.from_pretrained( + "mistralai/Mixtral-8x7B-v0.1" + ) return values + def _get_batches(self, texts: List[str]) -> Iterable[List[str]]: + """Split a list of texts into batches of less than 16k tokens + for Mistral API.""" + batch: List[str] = [] + batch_tokens = 0 + + text_token_lengths = [ + len(encoded) for encoded in self.tokenizer.encode_batch(texts) + ] + + for text, text_tokens in zip(texts, text_token_lengths): + if batch_tokens + text_tokens > MAX_TOKENS: + yield batch + batch = [text] + batch_tokens = text_tokens + else: + batch.append(text) + batch_tokens += text_tokens + if batch: + yield batch + def embed_documents(self, texts: List[str]) -> List[List[float]]: """Embed a list of document texts. @@ -84,13 +114,17 @@ def embed_documents(self, texts: List[str]) -> List[List[float]]: List of embeddings, one for each text. """ try: - embeddings_batch_response = self.client.embeddings( - model=self.model, - input=texts, + batch_responses = ( + self.client.embeddings( + model=self.model, + input=batch, + ) + for batch in self._get_batches(texts) ) return [ list(map(float, embedding_obj.embedding)) - for embedding_obj in embeddings_batch_response.data + for response in batch_responses + for embedding_obj in response.data ] except MistralException as e: logger.error(f"An error occurred with MistralAI: {e}") @@ -106,13 +140,19 @@ async def aembed_documents(self, texts: List[str]) -> List[List[float]]: List of embeddings, one for each text. """ try: - embeddings_batch_response = await self.async_client.embeddings( - model=self.model, - input=texts, + batch_responses = await asyncio.gather( + *[ + self.async_client.embeddings( + model=self.model, + input=batch, + ) + for batch in self._get_batches(texts) + ] ) return [ list(map(float, embedding_obj.embedding)) - for embedding_obj in embeddings_batch_response.data + for response in batch_responses + for embedding_obj in response.data ] except MistralException as e: logger.error(f"An error occurred with MistralAI: {e}") diff --git a/libs/partners/mistralai/poetry.lock b/libs/partners/mistralai/poetry.lock index 8d406846bf2bf..ea414d7b199a1 100644 --- a/libs/partners/mistralai/poetry.lock +++ b/libs/partners/mistralai/poetry.lock @@ -16,19 +16,20 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} [[package]] name = "anyio" -version = "4.1.0" +version = "4.2.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.8" files = [ - {file = "anyio-4.1.0-py3-none-any.whl", hash = "sha256:56a415fbc462291813a94528a779597226619c8e78af7de0507333f700011e5f"}, - {file = "anyio-4.1.0.tar.gz", hash = "sha256:5a0bec7085176715be77df87fc66d6c9d70626bd752fcc85f57cdbee5b3760da"}, + {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"}, + {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"}, ] [package.dependencies] exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} idna = ">=2.8" 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"] @@ -37,13 +38,13 @@ trio = ["trio (>=0.23)"] [[package]] name = "certifi" -version = "2023.11.17" +version = "2024.2.2" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.6" files = [ - {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"}, - {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"}, + {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"}, + {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"}, ] [[package]] @@ -187,6 +188,57 @@ files = [ [package.extras] test = ["pytest (>=6)"] +[[package]] +name = "filelock" +version = "3.13.1" +description = "A platform independent file lock." +optional = false +python-versions = ">=3.8" +files = [ + {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"}, + {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"}, +] + +[package.extras] +docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"] +typing = ["typing-extensions (>=4.8)"] + +[[package]] +name = "fsspec" +version = "2024.2.0" +description = "File-system specification" +optional = false +python-versions = ">=3.8" +files = [ + {file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"}, + {file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"}, +] + +[package.extras] +abfs = ["adlfs"] +adl = ["adlfs"] +arrow = ["pyarrow (>=1)"] +dask = ["dask", "distributed"] +devel = ["pytest", "pytest-cov"] +dropbox = ["dropbox", "dropboxdrivefs", "requests"] +full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"] +fuse = ["fusepy"] +gcs = ["gcsfs"] +git = ["pygit2"] +github = ["requests"] +gs = ["gcsfs"] +gui = ["panel"] +hdfs = ["pyarrow (>=1)"] +http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"] +libarchive = ["libarchive-c"] +oci = ["ocifs"] +s3 = ["s3fs"] +sftp = ["paramiko"] +smb = ["smbprotocol"] +ssh = ["paramiko"] +tqdm = ["tqdm"] + [[package]] name = "h11" version = "0.14.0" @@ -243,6 +295,38 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] +[[package]] +name = "huggingface-hub" +version = "0.20.3" +description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" +optional = false +python-versions = ">=3.8.0" +files = [ + {file = "huggingface_hub-0.20.3-py3-none-any.whl", hash = "sha256:d988ae4f00d3e307b0c80c6a05ca6dbb7edba8bba3079f74cda7d9c2e562a7b6"}, + {file = "huggingface_hub-0.20.3.tar.gz", hash = "sha256:94e7f8e074475fbc67d6a71957b678e1b4a74ff1b64a644fd6cbb83da962d05d"}, +] + +[package.dependencies] +filelock = "*" +fsspec = ">=2023.5.0" +packaging = ">=20.9" +pyyaml = ">=5.1" +requests = "*" +tqdm = ">=4.42.1" +typing-extensions = ">=3.7.4.3" + +[package.extras] +all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +cli = ["InquirerPy (==0.3.4)"] +dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"] +fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"] +inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"] +quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"] +tensorflow = ["graphviz", "pydot", "tensorflow"] +testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"] +torch = ["torch"] +typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"] + [[package]] name = "idna" version = "3.6" @@ -292,7 +376,7 @@ files = [ [[package]] name = "langchain-core" -version = "0.1.9" +version = "0.1.19" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.8.1,<4.0" @@ -302,7 +386,7 @@ develop = true [package.dependencies] anyio = ">=3,<5" jsonpatch = "^1.33" -langsmith = "~0.0.63" +langsmith = ">=0.0.83,<0.1" packaging = "^23.2" pydantic = ">=1,<3" PyYAML = ">=5.3" @@ -318,13 +402,13 @@ url = "../../core" [[package]] name = "langsmith" -version = "0.0.71" +version = "0.0.86" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = ">=3.8.1,<4.0" files = [ - {file = "langsmith-0.0.71-py3-none-any.whl", hash = "sha256:dccc8522acbe64723ee6d54cb043f5c8d55512782b5eb3031add6691a00a28e1"}, - {file = "langsmith-0.0.71.tar.gz", hash = "sha256:1c6147563d7d658f5514299526a18d4e69e0e8ed59b99ad87abaf894eed1477a"}, + {file = "langsmith-0.0.86-py3-none-any.whl", hash = "sha256:7af15c36edb8c9fd9ae5c6d4fb940eb1da668b630a703d63c90c91e9be53aefb"}, + {file = "langsmith-0.0.86.tar.gz", hash = "sha256:c1572824664810c4425b17f2d1e9a59d53992e6898df22a37236c62d3c80f59e"}, ] [package.dependencies] @@ -410,61 +494,61 @@ files = [ [[package]] name = "orjson" -version = "3.9.10" +version = "3.9.13" description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" optional = false python-versions = ">=3.8" files = [ - {file = "orjson-3.9.10-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c18a4da2f50050a03d1da5317388ef84a16013302a5281d6f64e4a3f406aabc4"}, - {file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5148bab4d71f58948c7c39d12b14a9005b6ab35a0bdf317a8ade9a9e4d9d0bd5"}, - {file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4cf7837c3b11a2dfb589f8530b3cff2bd0307ace4c301e8997e95c7468c1378e"}, - {file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c62b6fa2961a1dcc51ebe88771be5319a93fd89bd247c9ddf732bc250507bc2b"}, - {file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:deeb3922a7a804755bbe6b5be9b312e746137a03600f488290318936c1a2d4dc"}, - {file = "orjson-3.9.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1234dc92d011d3554d929b6cf058ac4a24d188d97be5e04355f1b9223e98bbe9"}, - {file = "orjson-3.9.10-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:06ad5543217e0e46fd7ab7ea45d506c76f878b87b1b4e369006bdb01acc05a83"}, - {file = "orjson-3.9.10-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4fd72fab7bddce46c6826994ce1e7de145ae1e9e106ebb8eb9ce1393ca01444d"}, - {file = "orjson-3.9.10-cp310-none-win32.whl", hash = "sha256:b5b7d4a44cc0e6ff98da5d56cde794385bdd212a86563ac321ca64d7f80c80d1"}, - {file = "orjson-3.9.10-cp310-none-win_amd64.whl", hash = "sha256:61804231099214e2f84998316f3238c4c2c4aaec302df12b21a64d72e2a135c7"}, - {file = "orjson-3.9.10-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:cff7570d492bcf4b64cc862a6e2fb77edd5e5748ad715f487628f102815165e9"}, - {file = "orjson-3.9.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ed8bc367f725dfc5cabeed1ae079d00369900231fbb5a5280cf0736c30e2adf7"}, - {file = "orjson-3.9.10-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c812312847867b6335cfb264772f2a7e85b3b502d3a6b0586aa35e1858528ab1"}, - {file = "orjson-3.9.10-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9edd2856611e5050004f4722922b7b1cd6268da34102667bd49d2a2b18bafb81"}, - {file = "orjson-3.9.10-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:674eb520f02422546c40401f4efaf8207b5e29e420c17051cddf6c02783ff5ca"}, - {file = "orjson-3.9.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d0dc4310da8b5f6415949bd5ef937e60aeb0eb6b16f95041b5e43e6200821fb"}, - {file = "orjson-3.9.10-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e99c625b8c95d7741fe057585176b1b8783d46ed4b8932cf98ee145c4facf499"}, - {file = "orjson-3.9.10-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:ec6f18f96b47299c11203edfbdc34e1b69085070d9a3d1f302810cc23ad36bf3"}, - {file = "orjson-3.9.10-cp311-none-win32.whl", hash = "sha256:ce0a29c28dfb8eccd0f16219360530bc3cfdf6bf70ca384dacd36e6c650ef8e8"}, - {file = "orjson-3.9.10-cp311-none-win_amd64.whl", hash = "sha256:cf80b550092cc480a0cbd0750e8189247ff45457e5a023305f7ef1bcec811616"}, - {file = "orjson-3.9.10-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:602a8001bdf60e1a7d544be29c82560a7b49319a0b31d62586548835bbe2c862"}, - {file = "orjson-3.9.10-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f295efcd47b6124b01255d1491f9e46f17ef40d3d7eabf7364099e463fb45f0f"}, - {file = "orjson-3.9.10-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:92af0d00091e744587221e79f68d617b432425a7e59328ca4c496f774a356071"}, - {file = "orjson-3.9.10-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c5a02360e73e7208a872bf65a7554c9f15df5fe063dc047f79738998b0506a14"}, - {file = "orjson-3.9.10-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:858379cbb08d84fe7583231077d9a36a1a20eb72f8c9076a45df8b083724ad1d"}, - {file = "orjson-3.9.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666c6fdcaac1f13eb982b649e1c311c08d7097cbda24f32612dae43648d8db8d"}, - {file = "orjson-3.9.10-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3fb205ab52a2e30354640780ce4587157a9563a68c9beaf52153e1cea9aa0921"}, - {file = "orjson-3.9.10-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:7ec960b1b942ee3c69323b8721df2a3ce28ff40e7ca47873ae35bfafeb4555ca"}, - {file = "orjson-3.9.10-cp312-none-win_amd64.whl", hash = "sha256:3e892621434392199efb54e69edfff9f699f6cc36dd9553c5bf796058b14b20d"}, - {file = "orjson-3.9.10-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:8b9ba0ccd5a7f4219e67fbbe25e6b4a46ceef783c42af7dbc1da548eb28b6531"}, - {file = "orjson-3.9.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e2ecd1d349e62e3960695214f40939bbfdcaeaaa62ccc638f8e651cf0970e5f"}, - {file = "orjson-3.9.10-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7f433be3b3f4c66016d5a20e5b4444ef833a1f802ced13a2d852c637f69729c1"}, - {file = "orjson-3.9.10-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4689270c35d4bb3102e103ac43c3f0b76b169760aff8bcf2d401a3e0e58cdb7f"}, - {file = "orjson-3.9.10-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4bd176f528a8151a6efc5359b853ba3cc0e82d4cd1fab9c1300c5d957dc8f48c"}, - {file = "orjson-3.9.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a2ce5ea4f71681623f04e2b7dadede3c7435dfb5e5e2d1d0ec25b35530e277b"}, - {file = "orjson-3.9.10-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:49f8ad582da6e8d2cf663c4ba5bf9f83cc052570a3a767487fec6af839b0e777"}, - {file = "orjson-3.9.10-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2a11b4b1a8415f105d989876a19b173f6cdc89ca13855ccc67c18efbd7cbd1f8"}, - {file = "orjson-3.9.10-cp38-none-win32.whl", hash = "sha256:a353bf1f565ed27ba71a419b2cd3db9d6151da426b61b289b6ba1422a702e643"}, - {file = "orjson-3.9.10-cp38-none-win_amd64.whl", hash = "sha256:e28a50b5be854e18d54f75ef1bb13e1abf4bc650ab9d635e4258c58e71eb6ad5"}, - {file = "orjson-3.9.10-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:ee5926746232f627a3be1cc175b2cfad24d0170d520361f4ce3fa2fd83f09e1d"}, - {file = "orjson-3.9.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a73160e823151f33cdc05fe2cea557c5ef12fdf276ce29bb4f1c571c8368a60"}, - {file = "orjson-3.9.10-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c338ed69ad0b8f8f8920c13f529889fe0771abbb46550013e3c3d01e5174deef"}, - {file = "orjson-3.9.10-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5869e8e130e99687d9e4be835116c4ebd83ca92e52e55810962446d841aba8de"}, - {file = "orjson-3.9.10-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d2c1e559d96a7f94a4f581e2a32d6d610df5840881a8cba8f25e446f4d792df3"}, - {file = "orjson-3.9.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:81a3a3a72c9811b56adf8bcc829b010163bb2fc308877e50e9910c9357e78521"}, - {file = "orjson-3.9.10-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7f8fb7f5ecf4f6355683ac6881fd64b5bb2b8a60e3ccde6ff799e48791d8f864"}, - {file = "orjson-3.9.10-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c943b35ecdf7123b2d81d225397efddf0bce2e81db2f3ae633ead38e85cd5ade"}, - {file = "orjson-3.9.10-cp39-none-win32.whl", hash = "sha256:fb0b361d73f6b8eeceba47cd37070b5e6c9de5beaeaa63a1cb35c7e1a73ef088"}, - {file = "orjson-3.9.10-cp39-none-win_amd64.whl", hash = "sha256:b90f340cb6397ec7a854157fac03f0c82b744abdd1c0941a024c3c29d1340aff"}, - {file = "orjson-3.9.10.tar.gz", hash = "sha256:9ebbdbd6a046c304b1845e96fbcc5559cd296b4dfd3ad2509e33c4d9ce07d6a1"}, + {file = "orjson-3.9.13-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:fa6b67f8bef277c2a4aadd548d58796854e7d760964126c3209b19bccc6a74f1"}, + {file = "orjson-3.9.13-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b812417199eeb169c25f67815cfb66fd8de7ff098bf57d065e8c1943a7ba5c8f"}, + {file = "orjson-3.9.13-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7ccd5bd222e5041069ad9d9868ab59e6dbc53ecde8d8c82b919954fbba43b46b"}, + {file = "orjson-3.9.13-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eaaf80957c38e9d3f796f355a80fad945e72cd745e6b64c210e635b7043b673e"}, + {file = "orjson-3.9.13-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:60da7316131185d0110a1848e9ad15311e6c8938ee0b5be8cbd7261e1d80ee8f"}, + {file = "orjson-3.9.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5b98cd948372f0eb219bc309dee4633db1278687161e3280d9e693b6076951d2"}, + {file = "orjson-3.9.13-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:3869d65561f10071d3e7f35ae58fd377056f67d7aaed5222f318390c3ad30339"}, + {file = "orjson-3.9.13-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:43fd6036b16bb6742d03dae62f7bdf8214d06dea47e4353cde7e2bd1358d186f"}, + {file = "orjson-3.9.13-cp310-none-win32.whl", hash = "sha256:0d3ba9d88e20765335260d7b25547d7c571eee2b698200f97afa7d8c7cd668fc"}, + {file = "orjson-3.9.13-cp310-none-win_amd64.whl", hash = "sha256:6e47153db080f5e87e8ba638f1a8b18995eede6b0abb93964d58cf11bcea362f"}, + {file = "orjson-3.9.13-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4584e8eb727bc431baaf1bf97e35a1d8a0109c924ec847395673dfd5f4ef6d6f"}, + {file = "orjson-3.9.13-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f37f0cdd026ef777a4336e599d8194c8357fc14760c2a5ddcfdf1965d45504b"}, + {file = "orjson-3.9.13-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d714595d81efab11b42bccd119977d94b25d12d3a806851ff6bfd286a4bce960"}, + {file = "orjson-3.9.13-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9171e8e1a1f221953e38e84ae0abffe8759002fd8968106ee379febbb5358b33"}, + {file = "orjson-3.9.13-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1ab9dbdec3f13f3ea6f937564ce21651844cfbf2725099f2f490426acf683c23"}, + {file = "orjson-3.9.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:811ac076855e33e931549340288e0761873baf29276ad00f221709933c644330"}, + {file = "orjson-3.9.13-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:860d0f5b42d0c0afd73fa4177709f6e1b966ba691fcd72175affa902052a81d6"}, + {file = "orjson-3.9.13-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:838b898e8c1f26eb6b8d81b180981273f6f5110c76c22c384979aca854194f1b"}, + {file = "orjson-3.9.13-cp311-none-win32.whl", hash = "sha256:d3222db9df629ef3c3673124f2e05fb72bc4a320c117e953fec0d69dde82e36d"}, + {file = "orjson-3.9.13-cp311-none-win_amd64.whl", hash = "sha256:978117122ca4cc59b28af5322253017f6c5fc03dbdda78c7f4b94ae984c8dd43"}, + {file = "orjson-3.9.13-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:031df1026c7ea8303332d78711f180231e3ae8b564271fb748a03926587c5546"}, + {file = "orjson-3.9.13-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fd9a2101d04e85086ea6198786a3f016e45475f800712e6833e14bf9ce2832f"}, + {file = "orjson-3.9.13-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:446d9ad04204e79229ae19502daeea56479e55cbc32634655d886f5a39e91b44"}, + {file = "orjson-3.9.13-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b57c0954a9fdd2b05b9cec0f5a12a0bdce5bf021a5b3b09323041613972481ab"}, + {file = "orjson-3.9.13-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:266e55c83f81248f63cc93d11c5e3a53df49a5d2598fa9e9db5f99837a802d5d"}, + {file = "orjson-3.9.13-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31372ba3a9fe8ad118e7d22fba46bbc18e89039e3bfa89db7bc8c18ee722dca8"}, + {file = "orjson-3.9.13-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:e3b0c4da61f39899561e08e571f54472a09fa71717d9797928af558175ae5243"}, + {file = "orjson-3.9.13-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2cc03a35bfc71c8ebf96ce49b82c2a7be6af4b3cd3ac34166fdb42ac510bbfff"}, + {file = "orjson-3.9.13-cp312-none-win_amd64.whl", hash = "sha256:49b7e3fe861cb246361825d1a238f2584ed8ea21e714bf6bb17cebb86772e61c"}, + {file = "orjson-3.9.13-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:62e9a99879c4d5a04926ac2518a992134bfa00d546ea5a4cae4b9be454d35a22"}, + {file = "orjson-3.9.13-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d92a3e835a5100f1d5b566fff79217eab92223ca31900dba733902a182a35ab0"}, + {file = "orjson-3.9.13-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:23f21faf072ed3b60b5954686f98157e073f6a8068eaa58dbde83e87212eda84"}, + {file = "orjson-3.9.13-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:828c502bb261588f7de897e06cb23c4b122997cb039d2014cb78e7dabe92ef0c"}, + {file = "orjson-3.9.13-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:16946d095212a3dec552572c5d9bca7afa40f3116ad49695a397be07d529f1fa"}, + {file = "orjson-3.9.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3deadd8dc0e9ff844b5b656fa30a48dbee1c3b332d8278302dd9637f6b09f627"}, + {file = "orjson-3.9.13-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:9b1b5adc5adf596c59dca57156b71ad301d73956f5bab4039b0e34dbf50b9fa0"}, + {file = "orjson-3.9.13-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:ddc089315d030c54f0f03fb38286e2667c05009a78d659f108a8efcfbdf2e585"}, + {file = "orjson-3.9.13-cp38-none-win32.whl", hash = "sha256:ae77275a28667d9c82d4522b681504642055efa0368d73108511647c6499b31c"}, + {file = "orjson-3.9.13-cp38-none-win_amd64.whl", hash = "sha256:730385fdb99a21fce9bb84bb7fcbda72c88626facd74956bda712834b480729d"}, + {file = "orjson-3.9.13-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:7e8e4a571d958910272af8d53a9cbe6599f9f5fd496a1bc51211183bb2072cbd"}, + {file = "orjson-3.9.13-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfad553a36548262e7da0f3a7464270e13900b898800fb571a5d4b298c3f8356"}, + {file = "orjson-3.9.13-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0d691c44604941945b00e0a13b19a7d9c1a19511abadf0080f373e98fdeb6b31"}, + {file = "orjson-3.9.13-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a8c83718346de08d68b3cb1105c5d91e5fc39885d8610fdda16613d4e3941459"}, + {file = "orjson-3.9.13-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:63ef57a53bfc2091a7cd50a640d9ae866bd7d92a5225a1bab6baa60ef62583f2"}, + {file = "orjson-3.9.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9156b96afa38db71344522f5517077eaedf62fcd2c9148392ff93d801128809c"}, + {file = "orjson-3.9.13-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:31fb66b41fb2c4c817d9610f0bc7d31345728d7b5295ac78b63603407432a2b2"}, + {file = "orjson-3.9.13-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:8a730bf07feacb0863974e67b206b7c503a62199de1cece2eb0d4c233ec29c11"}, + {file = "orjson-3.9.13-cp39-none-win32.whl", hash = "sha256:5ef58869f3399acbbe013518d8b374ee9558659eef14bca0984f67cb1fbd3c37"}, + {file = "orjson-3.9.13-cp39-none-win_amd64.whl", hash = "sha256:9bcf56efdb83244cde070e82a69c0f03c47c235f0a5cb6c81d9da23af7fbaae4"}, + {file = "orjson-3.9.13.tar.gz", hash = "sha256:fc6bc65b0cf524ee042e0bc2912b9206ef242edfba7426cf95763e4af01f527a"}, ] [[package]] @@ -480,13 +564,13 @@ files = [ [[package]] name = "pluggy" -version = "1.3.0" +version = "1.4.0" description = "plugin and hook calling mechanisms for python" optional = false python-versions = ">=3.8" files = [ - {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"}, - {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"}, + {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"}, + {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"}, ] [package.extras] @@ -495,18 +579,18 @@ testing = ["pytest", "pytest-benchmark"] [[package]] name = "pydantic" -version = "2.5.2" +version = "2.6.1" description = "Data validation using Python type hints" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pydantic-2.5.2-py3-none-any.whl", hash = "sha256:80c50fb8e3dcecfddae1adbcc00ec5822918490c99ab31f6cf6140ca1c1429f0"}, - {file = "pydantic-2.5.2.tar.gz", hash = "sha256:ff177ba64c6faf73d7afa2e8cad38fd456c0dbe01c9954e71038001cd15a6edd"}, + {file = "pydantic-2.6.1-py3-none-any.whl", hash = "sha256:0b6a909df3192245cb736509a92ff69e4fef76116feffec68e93a567347bae6f"}, + {file = "pydantic-2.6.1.tar.gz", hash = "sha256:4fd5c182a2488dc63e6d32737ff19937888001e2a6d86e94b3f233104a5d1fa9"}, ] [package.dependencies] annotated-types = ">=0.4.0" -pydantic-core = "2.14.5" +pydantic-core = "2.16.2" typing-extensions = ">=4.6.1" [package.extras] @@ -514,116 +598,90 @@ email = ["email-validator (>=2.0.0)"] [[package]] name = "pydantic-core" -version = "2.14.5" +version = "2.16.2" description = "" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pydantic_core-2.14.5-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:7e88f5696153dc516ba6e79f82cc4747e87027205f0e02390c21f7cb3bd8abfd"}, - {file = "pydantic_core-2.14.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4641e8ad4efb697f38a9b64ca0523b557c7931c5f84e0fd377a9a3b05121f0de"}, - {file = "pydantic_core-2.14.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:774de879d212db5ce02dfbf5b0da9a0ea386aeba12b0b95674a4ce0593df3d07"}, - {file = "pydantic_core-2.14.5-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ebb4e035e28f49b6f1a7032920bb9a0c064aedbbabe52c543343d39341a5b2a3"}, - {file = "pydantic_core-2.14.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b53e9ad053cd064f7e473a5f29b37fc4cc9dc6d35f341e6afc0155ea257fc911"}, - {file = "pydantic_core-2.14.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8aa1768c151cf562a9992462239dfc356b3d1037cc5a3ac829bb7f3bda7cc1f9"}, - {file = "pydantic_core-2.14.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eac5c82fc632c599f4639a5886f96867ffced74458c7db61bc9a66ccb8ee3113"}, - {file = "pydantic_core-2.14.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d2ae91f50ccc5810b2f1b6b858257c9ad2e08da70bf890dee02de1775a387c66"}, - {file = "pydantic_core-2.14.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6b9ff467ffbab9110e80e8c8de3bcfce8e8b0fd5661ac44a09ae5901668ba997"}, - {file = "pydantic_core-2.14.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:61ea96a78378e3bd5a0be99b0e5ed00057b71f66115f5404d0dae4819f495093"}, - {file = "pydantic_core-2.14.5-cp310-none-win32.whl", hash = "sha256:bb4c2eda937a5e74c38a41b33d8c77220380a388d689bcdb9b187cf6224c9720"}, - {file = "pydantic_core-2.14.5-cp310-none-win_amd64.whl", hash = "sha256:b7851992faf25eac90bfcb7bfd19e1f5ffa00afd57daec8a0042e63c74a4551b"}, - {file = "pydantic_core-2.14.5-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:4e40f2bd0d57dac3feb3a3aed50f17d83436c9e6b09b16af271b6230a2915459"}, - {file = "pydantic_core-2.14.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ab1cdb0f14dc161ebc268c09db04d2c9e6f70027f3b42446fa11c153521c0e88"}, - {file = "pydantic_core-2.14.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aae7ea3a1c5bb40c93cad361b3e869b180ac174656120c42b9fadebf685d121b"}, - {file = "pydantic_core-2.14.5-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:60b7607753ba62cf0739177913b858140f11b8af72f22860c28eabb2f0a61937"}, - {file = "pydantic_core-2.14.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2248485b0322c75aee7565d95ad0e16f1c67403a470d02f94da7344184be770f"}, - {file = "pydantic_core-2.14.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:823fcc638f67035137a5cd3f1584a4542d35a951c3cc68c6ead1df7dac825c26"}, - {file = "pydantic_core-2.14.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96581cfefa9123accc465a5fd0cc833ac4d75d55cc30b633b402e00e7ced00a6"}, - {file = "pydantic_core-2.14.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a33324437018bf6ba1bb0f921788788641439e0ed654b233285b9c69704c27b4"}, - {file = "pydantic_core-2.14.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:9bd18fee0923ca10f9a3ff67d4851c9d3e22b7bc63d1eddc12f439f436f2aada"}, - {file = "pydantic_core-2.14.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:853a2295c00f1d4429db4c0fb9475958543ee80cfd310814b5c0ef502de24dda"}, - {file = "pydantic_core-2.14.5-cp311-none-win32.whl", hash = "sha256:cb774298da62aea5c80a89bd58c40205ab4c2abf4834453b5de207d59d2e1651"}, - {file = "pydantic_core-2.14.5-cp311-none-win_amd64.whl", hash = "sha256:e87fc540c6cac7f29ede02e0f989d4233f88ad439c5cdee56f693cc9c1c78077"}, - {file = "pydantic_core-2.14.5-cp311-none-win_arm64.whl", hash = "sha256:57d52fa717ff445cb0a5ab5237db502e6be50809b43a596fb569630c665abddf"}, - {file = "pydantic_core-2.14.5-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:e60f112ac88db9261ad3a52032ea46388378034f3279c643499edb982536a093"}, - {file = "pydantic_core-2.14.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6e227c40c02fd873c2a73a98c1280c10315cbebe26734c196ef4514776120aeb"}, - {file = "pydantic_core-2.14.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0cbc7fff06a90bbd875cc201f94ef0ee3929dfbd5c55a06674b60857b8b85ed"}, - {file = "pydantic_core-2.14.5-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:103ef8d5b58596a731b690112819501ba1db7a36f4ee99f7892c40da02c3e189"}, - {file = "pydantic_core-2.14.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c949f04ecad823f81b1ba94e7d189d9dfb81edbb94ed3f8acfce41e682e48cef"}, - {file = "pydantic_core-2.14.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c1452a1acdf914d194159439eb21e56b89aa903f2e1c65c60b9d874f9b950e5d"}, - {file = "pydantic_core-2.14.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cb4679d4c2b089e5ef89756bc73e1926745e995d76e11925e3e96a76d5fa51fc"}, - {file = "pydantic_core-2.14.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:cf9d3fe53b1ee360e2421be95e62ca9b3296bf3f2fb2d3b83ca49ad3f925835e"}, - {file = "pydantic_core-2.14.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:70f4b4851dbb500129681d04cc955be2a90b2248d69273a787dda120d5cf1f69"}, - {file = "pydantic_core-2.14.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:59986de5710ad9613ff61dd9b02bdd2f615f1a7052304b79cc8fa2eb4e336d2d"}, - {file = "pydantic_core-2.14.5-cp312-none-win32.whl", hash = "sha256:699156034181e2ce106c89ddb4b6504c30db8caa86e0c30de47b3e0654543260"}, - {file = "pydantic_core-2.14.5-cp312-none-win_amd64.whl", hash = "sha256:5baab5455c7a538ac7e8bf1feec4278a66436197592a9bed538160a2e7d11e36"}, - {file = "pydantic_core-2.14.5-cp312-none-win_arm64.whl", hash = "sha256:e47e9a08bcc04d20975b6434cc50bf82665fbc751bcce739d04a3120428f3e27"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:af36f36538418f3806048f3b242a1777e2540ff9efaa667c27da63d2749dbce0"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:45e95333b8418ded64745f14574aa9bfc212cb4fbeed7a687b0c6e53b5e188cd"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e47a76848f92529879ecfc417ff88a2806438f57be4a6a8bf2961e8f9ca9ec7"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d81e6987b27bc7d101c8597e1cd2bcaa2fee5e8e0f356735c7ed34368c471550"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:34708cc82c330e303f4ce87758828ef6e457681b58ce0e921b6e97937dd1e2a3"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:652c1988019752138b974c28f43751528116bcceadad85f33a258869e641d753"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e4d090e73e0725b2904fdbdd8d73b8802ddd691ef9254577b708d413bf3006e"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5c7d5b5005f177764e96bd584d7bf28d6e26e96f2a541fdddb934c486e36fd59"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:a71891847f0a73b1b9eb86d089baee301477abef45f7eaf303495cd1473613e4"}, - {file = "pydantic_core-2.14.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:a717aef6971208f0851a2420b075338e33083111d92041157bbe0e2713b37325"}, - {file = "pydantic_core-2.14.5-cp37-none-win32.whl", hash = "sha256:de790a3b5aa2124b8b78ae5faa033937a72da8efe74b9231698b5a1dd9be3405"}, - {file = "pydantic_core-2.14.5-cp37-none-win_amd64.whl", hash = "sha256:6c327e9cd849b564b234da821236e6bcbe4f359a42ee05050dc79d8ed2a91588"}, - {file = "pydantic_core-2.14.5-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:ef98ca7d5995a82f43ec0ab39c4caf6a9b994cb0b53648ff61716370eadc43cf"}, - {file = "pydantic_core-2.14.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c6eae413494a1c3f89055da7a5515f32e05ebc1a234c27674a6956755fb2236f"}, - {file = "pydantic_core-2.14.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcf4e6d85614f7a4956c2de5a56531f44efb973d2fe4a444d7251df5d5c4dcfd"}, - {file = "pydantic_core-2.14.5-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6637560562134b0e17de333d18e69e312e0458ee4455bdad12c37100b7cad706"}, - {file = "pydantic_core-2.14.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:77fa384d8e118b3077cccfcaf91bf83c31fe4dc850b5e6ee3dc14dc3d61bdba1"}, - {file = "pydantic_core-2.14.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:16e29bad40bcf97aac682a58861249ca9dcc57c3f6be22f506501833ddb8939c"}, - {file = "pydantic_core-2.14.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:531f4b4252fac6ca476fbe0e6f60f16f5b65d3e6b583bc4d87645e4e5ddde331"}, - {file = "pydantic_core-2.14.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:074f3d86f081ce61414d2dc44901f4f83617329c6f3ab49d2bc6c96948b2c26b"}, - {file = "pydantic_core-2.14.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:c2adbe22ab4babbca99c75c5d07aaf74f43c3195384ec07ccbd2f9e3bddaecec"}, - {file = "pydantic_core-2.14.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0f6116a558fd06d1b7c2902d1c4cf64a5bd49d67c3540e61eccca93f41418124"}, - {file = "pydantic_core-2.14.5-cp38-none-win32.whl", hash = "sha256:fe0a5a1025eb797752136ac8b4fa21aa891e3d74fd340f864ff982d649691867"}, - {file = "pydantic_core-2.14.5-cp38-none-win_amd64.whl", hash = "sha256:079206491c435b60778cf2b0ee5fd645e61ffd6e70c47806c9ed51fc75af078d"}, - {file = "pydantic_core-2.14.5-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:a6a16f4a527aae4f49c875da3cdc9508ac7eef26e7977952608610104244e1b7"}, - {file = "pydantic_core-2.14.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:abf058be9517dc877227ec3223f0300034bd0e9f53aebd63cf4456c8cb1e0863"}, - {file = "pydantic_core-2.14.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:49b08aae5013640a3bfa25a8eebbd95638ec3f4b2eaf6ed82cf0c7047133f03b"}, - {file = "pydantic_core-2.14.5-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c2d97e906b4ff36eb464d52a3bc7d720bd6261f64bc4bcdbcd2c557c02081ed2"}, - {file = "pydantic_core-2.14.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3128e0bbc8c091ec4375a1828d6118bc20404883169ac95ffa8d983b293611e6"}, - {file = "pydantic_core-2.14.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:88e74ab0cdd84ad0614e2750f903bb0d610cc8af2cc17f72c28163acfcf372a4"}, - {file = "pydantic_core-2.14.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c339dabd8ee15f8259ee0f202679b6324926e5bc9e9a40bf981ce77c038553db"}, - {file = "pydantic_core-2.14.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3387277f1bf659caf1724e1afe8ee7dbc9952a82d90f858ebb931880216ea955"}, - {file = "pydantic_core-2.14.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ba6b6b3846cfc10fdb4c971980a954e49d447cd215ed5a77ec8190bc93dd7bc5"}, - {file = "pydantic_core-2.14.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ca61d858e4107ce5e1330a74724fe757fc7135190eb5ce5c9d0191729f033209"}, - {file = "pydantic_core-2.14.5-cp39-none-win32.whl", hash = "sha256:ec1e72d6412f7126eb7b2e3bfca42b15e6e389e1bc88ea0069d0cc1742f477c6"}, - {file = "pydantic_core-2.14.5-cp39-none-win_amd64.whl", hash = "sha256:c0b97ec434041827935044bbbe52b03d6018c2897349670ff8fe11ed24d1d4ab"}, - {file = "pydantic_core-2.14.5-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:79e0a2cdbdc7af3f4aee3210b1172ab53d7ddb6a2d8c24119b5706e622b346d0"}, - {file = "pydantic_core-2.14.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:678265f7b14e138d9a541ddabbe033012a2953315739f8cfa6d754cc8063e8ca"}, - {file = "pydantic_core-2.14.5-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:95b15e855ae44f0c6341ceb74df61b606e11f1087e87dcb7482377374aac6abe"}, - {file = "pydantic_core-2.14.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:09b0e985fbaf13e6b06a56d21694d12ebca6ce5414b9211edf6f17738d82b0f8"}, - {file = "pydantic_core-2.14.5-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3ad873900297bb36e4b6b3f7029d88ff9829ecdc15d5cf20161775ce12306f8a"}, - {file = "pydantic_core-2.14.5-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:2d0ae0d8670164e10accbeb31d5ad45adb71292032d0fdb9079912907f0085f4"}, - {file = "pydantic_core-2.14.5-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:d37f8ec982ead9ba0a22a996129594938138a1503237b87318392a48882d50b7"}, - {file = "pydantic_core-2.14.5-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:35613015f0ba7e14c29ac6c2483a657ec740e5ac5758d993fdd5870b07a61d8b"}, - {file = "pydantic_core-2.14.5-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:ab4ea451082e684198636565224bbb179575efc1658c48281b2c866bfd4ddf04"}, - {file = "pydantic_core-2.14.5-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ce601907e99ea5b4adb807ded3570ea62186b17f88e271569144e8cca4409c7"}, - {file = "pydantic_core-2.14.5-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fb2ed8b3fe4bf4506d6dab3b93b83bbc22237e230cba03866d561c3577517d18"}, - {file = "pydantic_core-2.14.5-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:70f947628e074bb2526ba1b151cee10e4c3b9670af4dbb4d73bc8a89445916b5"}, - {file = "pydantic_core-2.14.5-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:4bc536201426451f06f044dfbf341c09f540b4ebdb9fd8d2c6164d733de5e634"}, - {file = "pydantic_core-2.14.5-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f4791cf0f8c3104ac668797d8c514afb3431bc3305f5638add0ba1a5a37e0d88"}, - {file = "pydantic_core-2.14.5-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:038c9f763e650712b899f983076ce783175397c848da04985658e7628cbe873b"}, - {file = "pydantic_core-2.14.5-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:27548e16c79702f1e03f5628589c6057c9ae17c95b4c449de3c66b589ead0520"}, - {file = "pydantic_core-2.14.5-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c97bee68898f3f4344eb02fec316db93d9700fb1e6a5b760ffa20d71d9a46ce3"}, - {file = "pydantic_core-2.14.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b9b759b77f5337b4ea024f03abc6464c9f35d9718de01cfe6bae9f2e139c397e"}, - {file = "pydantic_core-2.14.5-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:439c9afe34638ace43a49bf72d201e0ffc1a800295bed8420c2a9ca8d5e3dbb3"}, - {file = "pydantic_core-2.14.5-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:ba39688799094c75ea8a16a6b544eb57b5b0f3328697084f3f2790892510d144"}, - {file = "pydantic_core-2.14.5-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ccd4d5702bb90b84df13bd491be8d900b92016c5a455b7e14630ad7449eb03f8"}, - {file = "pydantic_core-2.14.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:81982d78a45d1e5396819bbb4ece1fadfe5f079335dd28c4ab3427cd95389944"}, - {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:7f8210297b04e53bc3da35db08b7302a6a1f4889c79173af69b72ec9754796b8"}, - {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:8c8a8812fe6f43a3a5b054af6ac2d7b8605c7bcab2804a8a7d68b53f3cd86e00"}, - {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:206ed23aecd67c71daf5c02c3cd19c0501b01ef3cbf7782db9e4e051426b3d0d"}, - {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2027d05c8aebe61d898d4cffd774840a9cb82ed356ba47a90d99ad768f39789"}, - {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:40180930807ce806aa71eda5a5a5447abb6b6a3c0b4b3b1b1962651906484d68"}, - {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:615a0a4bff11c45eb3c1996ceed5bdaa2f7b432425253a7c2eed33bb86d80abc"}, - {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f5e412d717366e0677ef767eac93566582518fe8be923361a5c204c1a62eaafe"}, - {file = "pydantic_core-2.14.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:513b07e99c0a267b1d954243845d8a833758a6726a3b5d8948306e3fe14675e3"}, - {file = "pydantic_core-2.14.5.tar.gz", hash = "sha256:6d30226dfc816dd0fdf120cae611dd2215117e4f9b124af8c60ab9093b6e8e71"}, + {file = "pydantic_core-2.16.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3fab4e75b8c525a4776e7630b9ee48aea50107fea6ca9f593c98da3f4d11bf7c"}, + {file = "pydantic_core-2.16.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8bde5b48c65b8e807409e6f20baee5d2cd880e0fad00b1a811ebc43e39a00ab2"}, + {file = "pydantic_core-2.16.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2924b89b16420712e9bb8192396026a8fbd6d8726224f918353ac19c4c043d2a"}, + {file = "pydantic_core-2.16.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:16aa02e7a0f539098e215fc193c8926c897175d64c7926d00a36188917717a05"}, + {file = "pydantic_core-2.16.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:936a787f83db1f2115ee829dd615c4f684ee48ac4de5779ab4300994d8af325b"}, + {file = "pydantic_core-2.16.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:459d6be6134ce3b38e0ef76f8a672924460c455d45f1ad8fdade36796df1ddc8"}, + {file = "pydantic_core-2.16.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f9ee4febb249c591d07b2d4dd36ebcad0ccd128962aaa1801508320896575ef"}, + {file = "pydantic_core-2.16.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:40a0bd0bed96dae5712dab2aba7d334a6c67cbcac2ddfca7dbcc4a8176445990"}, + {file = "pydantic_core-2.16.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:870dbfa94de9b8866b37b867a2cb37a60c401d9deb4a9ea392abf11a1f98037b"}, + {file = "pydantic_core-2.16.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:308974fdf98046db28440eb3377abba274808bf66262e042c412eb2adf852731"}, + {file = "pydantic_core-2.16.2-cp310-none-win32.whl", hash = "sha256:a477932664d9611d7a0816cc3c0eb1f8856f8a42435488280dfbf4395e141485"}, + {file = "pydantic_core-2.16.2-cp310-none-win_amd64.whl", hash = "sha256:8f9142a6ed83d90c94a3efd7af8873bf7cefed2d3d44387bf848888482e2d25f"}, + {file = "pydantic_core-2.16.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:406fac1d09edc613020ce9cf3f2ccf1a1b2f57ab00552b4c18e3d5276c67eb11"}, + {file = "pydantic_core-2.16.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ce232a6170dd6532096cadbf6185271e4e8c70fc9217ebe105923ac105da9978"}, + {file = "pydantic_core-2.16.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a90fec23b4b05a09ad988e7a4f4e081711a90eb2a55b9c984d8b74597599180f"}, + {file = "pydantic_core-2.16.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8aafeedb6597a163a9c9727d8a8bd363a93277701b7bfd2749fbefee2396469e"}, + {file = "pydantic_core-2.16.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9957433c3a1b67bdd4c63717eaf174ebb749510d5ea612cd4e83f2d9142f3fc8"}, + {file = "pydantic_core-2.16.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b0d7a9165167269758145756db43a133608a531b1e5bb6a626b9ee24bc38a8f7"}, + {file = "pydantic_core-2.16.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dffaf740fe2e147fedcb6b561353a16243e654f7fe8e701b1b9db148242e1272"}, + {file = "pydantic_core-2.16.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f8ed79883b4328b7f0bd142733d99c8e6b22703e908ec63d930b06be3a0e7113"}, + {file = "pydantic_core-2.16.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:cf903310a34e14651c9de056fcc12ce090560864d5a2bb0174b971685684e1d8"}, + {file = "pydantic_core-2.16.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:46b0d5520dbcafea9a8645a8164658777686c5c524d381d983317d29687cce97"}, + {file = "pydantic_core-2.16.2-cp311-none-win32.whl", hash = "sha256:70651ff6e663428cea902dac297066d5c6e5423fda345a4ca62430575364d62b"}, + {file = "pydantic_core-2.16.2-cp311-none-win_amd64.whl", hash = "sha256:98dc6f4f2095fc7ad277782a7c2c88296badcad92316b5a6e530930b1d475ebc"}, + {file = "pydantic_core-2.16.2-cp311-none-win_arm64.whl", hash = "sha256:ef6113cd31411eaf9b39fc5a8848e71c72656fd418882488598758b2c8c6dfa0"}, + {file = "pydantic_core-2.16.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:88646cae28eb1dd5cd1e09605680c2b043b64d7481cdad7f5003ebef401a3039"}, + {file = "pydantic_core-2.16.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7b883af50eaa6bb3299780651e5be921e88050ccf00e3e583b1e92020333304b"}, + {file = "pydantic_core-2.16.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7bf26c2e2ea59d32807081ad51968133af3025c4ba5753e6a794683d2c91bf6e"}, + {file = "pydantic_core-2.16.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:99af961d72ac731aae2a1b55ccbdae0733d816f8bfb97b41909e143de735f522"}, + {file = "pydantic_core-2.16.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:02906e7306cb8c5901a1feb61f9ab5e5c690dbbeaa04d84c1b9ae2a01ebe9379"}, + {file = "pydantic_core-2.16.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d5362d099c244a2d2f9659fb3c9db7c735f0004765bbe06b99be69fbd87c3f15"}, + {file = "pydantic_core-2.16.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ac426704840877a285d03a445e162eb258924f014e2f074e209d9b4ff7bf380"}, + {file = "pydantic_core-2.16.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b94cbda27267423411c928208e89adddf2ea5dd5f74b9528513f0358bba019cb"}, + {file = "pydantic_core-2.16.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:6db58c22ac6c81aeac33912fb1af0e930bc9774166cdd56eade913d5f2fff35e"}, + {file = "pydantic_core-2.16.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:396fdf88b1b503c9c59c84a08b6833ec0c3b5ad1a83230252a9e17b7dfb4cffc"}, + {file = "pydantic_core-2.16.2-cp312-none-win32.whl", hash = "sha256:7c31669e0c8cc68400ef0c730c3a1e11317ba76b892deeefaf52dcb41d56ed5d"}, + {file = "pydantic_core-2.16.2-cp312-none-win_amd64.whl", hash = "sha256:a3b7352b48fbc8b446b75f3069124e87f599d25afb8baa96a550256c031bb890"}, + {file = "pydantic_core-2.16.2-cp312-none-win_arm64.whl", hash = "sha256:a9e523474998fb33f7c1a4d55f5504c908d57add624599e095c20fa575b8d943"}, + {file = "pydantic_core-2.16.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:ae34418b6b389d601b31153b84dce480351a352e0bb763684a1b993d6be30f17"}, + {file = "pydantic_core-2.16.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:732bd062c9e5d9582a30e8751461c1917dd1ccbdd6cafb032f02c86b20d2e7ec"}, + {file = "pydantic_core-2.16.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4b52776a2e3230f4854907a1e0946eec04d41b1fc64069ee774876bbe0eab55"}, + {file = "pydantic_core-2.16.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ef551c053692b1e39e3f7950ce2296536728871110e7d75c4e7753fb30ca87f4"}, + {file = "pydantic_core-2.16.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ebb892ed8599b23fa8f1799e13a12c87a97a6c9d0f497525ce9858564c4575a4"}, + {file = "pydantic_core-2.16.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa6c8c582036275997a733427b88031a32ffa5dfc3124dc25a730658c47a572f"}, + {file = "pydantic_core-2.16.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4ba0884a91f1aecce75202473ab138724aa4fb26d7707f2e1fa6c3e68c84fbf"}, + {file = "pydantic_core-2.16.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7924e54f7ce5d253d6160090ddc6df25ed2feea25bfb3339b424a9dd591688bc"}, + {file = "pydantic_core-2.16.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:69a7b96b59322a81c2203be537957313b07dd333105b73db0b69212c7d867b4b"}, + {file = "pydantic_core-2.16.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:7e6231aa5bdacda78e96ad7b07d0c312f34ba35d717115f4b4bff6cb87224f0f"}, + {file = "pydantic_core-2.16.2-cp38-none-win32.whl", hash = "sha256:41dac3b9fce187a25c6253ec79a3f9e2a7e761eb08690e90415069ea4a68ff7a"}, + {file = "pydantic_core-2.16.2-cp38-none-win_amd64.whl", hash = "sha256:f685dbc1fdadb1dcd5b5e51e0a378d4685a891b2ddaf8e2bba89bd3a7144e44a"}, + {file = "pydantic_core-2.16.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:55749f745ebf154c0d63d46c8c58594d8894b161928aa41adbb0709c1fe78b77"}, + {file = "pydantic_core-2.16.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b30b0dd58a4509c3bd7eefddf6338565c4905406aee0c6e4a5293841411a1286"}, + {file = "pydantic_core-2.16.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18de31781cdc7e7b28678df7c2d7882f9692ad060bc6ee3c94eb15a5d733f8f7"}, + {file = "pydantic_core-2.16.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5864b0242f74b9dd0b78fd39db1768bc3f00d1ffc14e596fd3e3f2ce43436a33"}, + {file = "pydantic_core-2.16.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8f9186ca45aee030dc8234118b9c0784ad91a0bb27fc4e7d9d6608a5e3d386c"}, + {file = "pydantic_core-2.16.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cc6f6c9be0ab6da37bc77c2dda5f14b1d532d5dbef00311ee6e13357a418e646"}, + {file = "pydantic_core-2.16.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa057095f621dad24a1e906747179a69780ef45cc8f69e97463692adbcdae878"}, + {file = "pydantic_core-2.16.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6ad84731a26bcfb299f9eab56c7932d46f9cad51c52768cace09e92a19e4cf55"}, + {file = "pydantic_core-2.16.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:3b052c753c4babf2d1edc034c97851f867c87d6f3ea63a12e2700f159f5c41c3"}, + {file = "pydantic_core-2.16.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:e0f686549e32ccdb02ae6f25eee40cc33900910085de6aa3790effd391ae10c2"}, + {file = "pydantic_core-2.16.2-cp39-none-win32.whl", hash = "sha256:7afb844041e707ac9ad9acad2188a90bffce2c770e6dc2318be0c9916aef1469"}, + {file = "pydantic_core-2.16.2-cp39-none-win_amd64.whl", hash = "sha256:9da90d393a8227d717c19f5397688a38635afec89f2e2d7af0df037f3249c39a"}, + {file = "pydantic_core-2.16.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5f60f920691a620b03082692c378661947d09415743e437a7478c309eb0e4f82"}, + {file = "pydantic_core-2.16.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:47924039e785a04d4a4fa49455e51b4eb3422d6eaacfde9fc9abf8fdef164e8a"}, + {file = "pydantic_core-2.16.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e6294e76b0380bb7a61eb8a39273c40b20beb35e8c87ee101062834ced19c545"}, + {file = "pydantic_core-2.16.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe56851c3f1d6f5384b3051c536cc81b3a93a73faf931f404fef95217cf1e10d"}, + {file = "pydantic_core-2.16.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9d776d30cde7e541b8180103c3f294ef7c1862fd45d81738d156d00551005784"}, + {file = "pydantic_core-2.16.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:72f7919af5de5ecfaf1eba47bf9a5d8aa089a3340277276e5636d16ee97614d7"}, + {file = "pydantic_core-2.16.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:4bfcbde6e06c56b30668a0c872d75a7ef3025dc3c1823a13cf29a0e9b33f67e8"}, + {file = "pydantic_core-2.16.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ff7c97eb7a29aba230389a2661edf2e9e06ce616c7e35aa764879b6894a44b25"}, + {file = "pydantic_core-2.16.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:9b5f13857da99325dcabe1cc4e9e6a3d7b2e2c726248ba5dd4be3e8e4a0b6d0e"}, + {file = "pydantic_core-2.16.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:a7e41e3ada4cca5f22b478c08e973c930e5e6c7ba3588fb8e35f2398cdcc1545"}, + {file = "pydantic_core-2.16.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:60eb8ceaa40a41540b9acae6ae7c1f0a67d233c40dc4359c256ad2ad85bdf5e5"}, + {file = "pydantic_core-2.16.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7beec26729d496a12fd23cf8da9944ee338c8b8a17035a560b585c36fe81af20"}, + {file = "pydantic_core-2.16.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:22c5f022799f3cd6741e24f0443ead92ef42be93ffda0d29b2597208c94c3753"}, + {file = "pydantic_core-2.16.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:eca58e319f4fd6df004762419612122b2c7e7d95ffafc37e890252f869f3fb2a"}, + {file = "pydantic_core-2.16.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ed957db4c33bc99895f3a1672eca7e80e8cda8bd1e29a80536b4ec2153fa9804"}, + {file = "pydantic_core-2.16.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:459c0d338cc55d099798618f714b21b7ece17eb1a87879f2da20a3ff4c7628e2"}, + {file = "pydantic_core-2.16.2.tar.gz", hash = "sha256:0ba503850d8b8dcc18391f10de896ae51d37fe5fe43dbfb6a35c5c5cad271a06"}, ] [package.dependencies] @@ -631,13 +689,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0" [[package]] name = "pytest" -version = "7.4.3" +version = "7.4.4" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.7" files = [ - {file = "pytest-7.4.3-py3-none-any.whl", hash = "sha256:0d009c083ea859a71b76adf7c1d502e4bc170b80a8ef002da5806527b9591fac"}, - {file = "pytest-7.4.3.tar.gz", hash = "sha256:d989d136982de4e3b29dabcc838ad581c64e8ed52c11fbe86ddebd9da0818cd5"}, + {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"}, + {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"}, ] [package.dependencies] @@ -681,6 +739,7 @@ files = [ {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"}, {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"}, {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"}, + {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"}, {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"}, {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"}, @@ -688,8 +747,16 @@ files = [ {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"}, {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"}, {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"}, + {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"}, {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"}, + {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, + {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, + {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"}, + {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, + {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, + {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, + {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, {file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"}, {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"}, {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"}, @@ -706,6 +773,7 @@ files = [ {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"}, {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"}, {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"}, + {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, {file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"}, {file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"}, {file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"}, @@ -713,6 +781,7 @@ files = [ {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"}, {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"}, {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"}, + {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, {file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"}, {file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"}, {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"}, @@ -741,28 +810,28 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "ruff" -version = "0.1.8" +version = "0.1.15" description = "An extremely fast Python linter and code formatter, written in Rust." optional = false python-versions = ">=3.7" files = [ - {file = "ruff-0.1.8-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:7de792582f6e490ae6aef36a58d85df9f7a0cfd1b0d4fe6b4fb51803a3ac96fa"}, - {file = "ruff-0.1.8-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:c8e3255afd186c142eef4ec400d7826134f028a85da2146102a1172ecc7c3696"}, - {file = "ruff-0.1.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff78a7583020da124dd0deb835ece1d87bb91762d40c514ee9b67a087940528b"}, - {file = "ruff-0.1.8-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bd8ee69b02e7bdefe1e5da2d5b6eaaddcf4f90859f00281b2333c0e3a0cc9cd6"}, - {file = "ruff-0.1.8-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a05b0ddd7ea25495e4115a43125e8a7ebed0aa043c3d432de7e7d6e8e8cd6448"}, - {file = "ruff-0.1.8-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:e6f08ca730f4dc1b76b473bdf30b1b37d42da379202a059eae54ec7fc1fbcfed"}, - {file = "ruff-0.1.8-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f35960b02df6b827c1b903091bb14f4b003f6cf102705efc4ce78132a0aa5af3"}, - {file = "ruff-0.1.8-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7d076717c67b34c162da7c1a5bda16ffc205e0e0072c03745275e7eab888719f"}, - {file = "ruff-0.1.8-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b6a21ab023124eafb7cef6d038f835cb1155cd5ea798edd8d9eb2f8b84be07d9"}, - {file = "ruff-0.1.8-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:ce697c463458555027dfb194cb96d26608abab920fa85213deb5edf26e026664"}, - {file = "ruff-0.1.8-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:db6cedd9ffed55548ab313ad718bc34582d394e27a7875b4b952c2d29c001b26"}, - {file = "ruff-0.1.8-py3-none-musllinux_1_2_i686.whl", hash = "sha256:05ffe9dbd278965271252704eddb97b4384bf58b971054d517decfbf8c523f05"}, - {file = "ruff-0.1.8-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:5daaeaf00ae3c1efec9742ff294b06c3a2a9db8d3db51ee4851c12ad385cda30"}, - {file = "ruff-0.1.8-py3-none-win32.whl", hash = "sha256:e49fbdfe257fa41e5c9e13c79b9e79a23a79bd0e40b9314bc53840f520c2c0b3"}, - {file = "ruff-0.1.8-py3-none-win_amd64.whl", hash = "sha256:f41f692f1691ad87f51708b823af4bb2c5c87c9248ddd3191c8f088e66ce590a"}, - {file = "ruff-0.1.8-py3-none-win_arm64.whl", hash = "sha256:aa8ee4f8440023b0a6c3707f76cadce8657553655dcbb5fc9b2f9bb9bee389f6"}, - {file = "ruff-0.1.8.tar.gz", hash = "sha256:f7ee467677467526cfe135eab86a40a0e8db43117936ac4f9b469ce9cdb3fb62"}, + {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:5fe8d54df166ecc24106db7dd6a68d44852d14eb0729ea4672bb4d96c320b7df"}, + {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6f0bfbb53c4b4de117ac4d6ddfd33aa5fc31beeaa21d23c45c6dd249faf9126f"}, + {file = "ruff-0.1.15-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e0d432aec35bfc0d800d4f70eba26e23a352386be3a6cf157083d18f6f5881c8"}, + {file = "ruff-0.1.15-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9405fa9ac0e97f35aaddf185a1be194a589424b8713e3b97b762336ec79ff807"}, + {file = "ruff-0.1.15-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c66ec24fe36841636e814b8f90f572a8c0cb0e54d8b5c2d0e300d28a0d7bffec"}, + {file = "ruff-0.1.15-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:6f8ad828f01e8dd32cc58bc28375150171d198491fc901f6f98d2a39ba8e3ff5"}, + {file = "ruff-0.1.15-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86811954eec63e9ea162af0ffa9f8d09088bab51b7438e8b6488b9401863c25e"}, + {file = "ruff-0.1.15-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd4025ac5e87d9b80e1f300207eb2fd099ff8200fa2320d7dc066a3f4622dc6b"}, + {file = "ruff-0.1.15-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b17b93c02cdb6aeb696effecea1095ac93f3884a49a554a9afa76bb125c114c1"}, + {file = "ruff-0.1.15-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:ddb87643be40f034e97e97f5bc2ef7ce39de20e34608f3f829db727a93fb82c5"}, + {file = "ruff-0.1.15-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:abf4822129ed3a5ce54383d5f0e964e7fef74a41e48eb1dfad404151efc130a2"}, + {file = "ruff-0.1.15-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6c629cf64bacfd136c07c78ac10a54578ec9d1bd2a9d395efbee0935868bf852"}, + {file = "ruff-0.1.15-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1bab866aafb53da39c2cadfb8e1c4550ac5340bb40300083eb8967ba25481447"}, + {file = "ruff-0.1.15-py3-none-win32.whl", hash = "sha256:2417e1cb6e2068389b07e6fa74c306b2810fe3ee3476d5b8a96616633f40d14f"}, + {file = "ruff-0.1.15-py3-none-win_amd64.whl", hash = "sha256:3837ac73d869efc4182d9036b1405ef4c73d9b1f88da2413875e34e0d6919587"}, + {file = "ruff-0.1.15-py3-none-win_arm64.whl", hash = "sha256:9a933dfb1c14ec7a33cceb1e49ec4a16b51ce3c20fd42663198746efc0427360"}, + {file = "ruff-0.1.15.tar.gz", hash = "sha256:f6dfa8c1b21c913c326919056c390966648b680966febcb796cc9d1aaab8564e"}, ] [[package]] @@ -790,6 +859,133 @@ files = [ [package.extras] doc = ["reno", "sphinx", "tornado (>=4.5)"] +[[package]] +name = "tokenizers" +version = "0.15.1" +description = "" +optional = false +python-versions = ">=3.7" +files = [ + {file = "tokenizers-0.15.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:32c9491dd1bcb33172c26b454dbd607276af959b9e78fa766e2694cafab3103c"}, + {file = "tokenizers-0.15.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29a1b784b870a097e7768f8c20c2dd851e2c75dad3efdae69a79d3e7f1d614d5"}, + {file = "tokenizers-0.15.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0049fbe648af04148b08cb211994ce8365ee628ce49724b56aaefd09a3007a78"}, + {file = "tokenizers-0.15.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e84b3c235219e75e24de6b71e6073cd2c8d740b14d88e4c6d131b90134e3a338"}, + {file = "tokenizers-0.15.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8cc575769ea11d074308c6d71cb10b036cdaec941562c07fc7431d956c502f0e"}, + {file = "tokenizers-0.15.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:22bf28f299c4158e6d0b5eaebddfd500c4973d947ffeaca8bcbe2e8c137dff0b"}, + {file = "tokenizers-0.15.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:506555f98361db9c74e1323a862d77dcd7d64c2058829a368bf4159d986e339f"}, + {file = "tokenizers-0.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7061b0a28ade15906f5b2ec8c48d3bdd6e24eca6b427979af34954fbe31d5cef"}, + {file = "tokenizers-0.15.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7ed5e35507b7a0e2aac3285c4f5e37d4ec5cfc0e5825b862b68a0aaf2757af52"}, + {file = "tokenizers-0.15.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1c9df9247df0de6509dd751b1c086e5f124b220133b5c883bb691cb6fb3d786f"}, + {file = "tokenizers-0.15.1-cp310-none-win32.whl", hash = "sha256:dd999af1b4848bef1b11d289f04edaf189c269d5e6afa7a95fa1058644c3f021"}, + {file = "tokenizers-0.15.1-cp310-none-win_amd64.whl", hash = "sha256:39d06a57f7c06940d602fad98702cf7024c4eee7f6b9fe76b9f2197d5a4cc7e2"}, + {file = "tokenizers-0.15.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:8ad034eb48bf728af06915e9294871f72fcc5254911eddec81d6df8dba1ce055"}, + {file = "tokenizers-0.15.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ea9ede7c42f8fa90f31bfc40376fd91a7d83a4aa6ad38e6076de961d48585b26"}, + {file = "tokenizers-0.15.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:b85d6fe1a20d903877aa0ef32ef6b96e81e0e48b71c206d6046ce16094de6970"}, + {file = "tokenizers-0.15.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6a7d44f656320137c7d643b9c7dcc1814763385de737fb98fd2643880910f597"}, + {file = "tokenizers-0.15.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bd244bd0793cdacf27ee65ec3db88c21f5815460e8872bbeb32b040469d6774e"}, + {file = "tokenizers-0.15.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0f3f4a36e371b3cb1123adac8aeeeeab207ad32f15ed686d9d71686a093bb140"}, + {file = "tokenizers-0.15.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c2921a53966afb29444da98d56a6ccbef23feb3b0c0f294b4e502370a0a64f25"}, + {file = "tokenizers-0.15.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f49068cf51f49c231067f1a8c9fc075ff960573f6b2a956e8e1b0154fb638ea5"}, + {file = "tokenizers-0.15.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0ab1a22f20eaaab832ab3b00a0709ca44a0eb04721e580277579411b622c741c"}, + {file = "tokenizers-0.15.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:671268f24b607c4adc6fa2b5b580fd4211b9f84b16bd7f46d62f8e5be0aa7ba4"}, + {file = "tokenizers-0.15.1-cp311-none-win32.whl", hash = "sha256:a4f03e33d2bf7df39c8894032aba599bf90f6f6378e683a19d28871f09bb07fc"}, + {file = "tokenizers-0.15.1-cp311-none-win_amd64.whl", hash = "sha256:30f689537bcc7576d8bd4daeeaa2cb8f36446ba2f13f421b173e88f2d8289c4e"}, + {file = "tokenizers-0.15.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:0f3a379dd0898a82ea3125e8f9c481373f73bffce6430d4315f0b6cd5547e409"}, + {file = "tokenizers-0.15.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d870ae58bba347d38ac3fc8b1f662f51e9c95272d776dd89f30035c83ee0a4f"}, + {file = "tokenizers-0.15.1-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:d6d28e0143ec2e253a8a39e94bf1d24776dbe73804fa748675dbffff4a5cd6d8"}, + {file = "tokenizers-0.15.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61ae9ac9f44e2da128ee35db69489883b522f7abe033733fa54eb2de30dac23d"}, + {file = "tokenizers-0.15.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d8e322a47e29128300b3f7749a03c0ec2bce0a3dc8539ebff738d3f59e233542"}, + {file = "tokenizers-0.15.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:760334f475443bc13907b1a8e1cb0aeaf88aae489062546f9704dce6c498bfe2"}, + {file = "tokenizers-0.15.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1b173753d4aca1e7d0d4cb52b5e3ffecfb0ca014e070e40391b6bb4c1d6af3f2"}, + {file = "tokenizers-0.15.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82c1f13d457c8f0ab17e32e787d03470067fe8a3b4d012e7cc57cb3264529f4a"}, + {file = "tokenizers-0.15.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:425b46ceff4505f20191df54b50ac818055d9d55023d58ae32a5d895b6f15bb0"}, + {file = "tokenizers-0.15.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:681ac6ba3b4fdaf868ead8971221a061f580961c386e9732ea54d46c7b72f286"}, + {file = "tokenizers-0.15.1-cp312-none-win32.whl", hash = "sha256:f2272656063ccfba2044df2115095223960d80525d208e7a32f6c01c351a6f4a"}, + {file = "tokenizers-0.15.1-cp312-none-win_amd64.whl", hash = "sha256:9abe103203b1c6a2435d248d5ff4cceebcf46771bfbc4957a98a74da6ed37674"}, + {file = "tokenizers-0.15.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:2ce9ed5c8ef26b026a66110e3c7b73d93ec2d26a0b1d0ea55ddce61c0e5f446f"}, + {file = "tokenizers-0.15.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:89b24d366137986c3647baac29ef902d2d5445003d11c30df52f1bd304689aeb"}, + {file = "tokenizers-0.15.1-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0faebedd01b413ab777ca0ee85914ed8b031ea5762ab0ea60b707ce8b9be6842"}, + {file = "tokenizers-0.15.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdbd9dfcdad4f3b95d801f768e143165165055c18e44ca79a8a26de889cd8e85"}, + {file = "tokenizers-0.15.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:97194324c12565b07e9993ca9aa813b939541185682e859fb45bb8d7d99b3193"}, + {file = "tokenizers-0.15.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:485e43e2cc159580e0d83fc919ec3a45ae279097f634b1ffe371869ffda5802c"}, + {file = "tokenizers-0.15.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:191d084d60e3589d6420caeb3f9966168269315f8ec7fbc3883122dc9d99759d"}, + {file = "tokenizers-0.15.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01c28cc8d7220634a75b14c53f4fc9d1b485f99a5a29306a999c115921de2897"}, + {file = "tokenizers-0.15.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:325212027745d3f8d5d5006bb9e5409d674eb80a184f19873f4f83494e1fdd26"}, + {file = "tokenizers-0.15.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:3c5573603c36ce12dbe318bcfb490a94cad2d250f34deb2f06cb6937957bbb71"}, + {file = "tokenizers-0.15.1-cp37-cp37m-macosx_10_12_x86_64.whl", hash = "sha256:1441161adb6d71a15a630d5c1d8659d5ebe41b6b209586fbeea64738e58fcbb2"}, + {file = "tokenizers-0.15.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:382a8d0c31afcfb86571afbfefa37186df90865ce3f5b731842dab4460e53a38"}, + {file = "tokenizers-0.15.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:e76959783e3f4ec73b3f3d24d4eec5aa9225f0bee565c48e77f806ed1e048f12"}, + {file = "tokenizers-0.15.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:401df223e5eb927c5961a0fc6b171818a2bba01fb36ef18c3e1b69b8cd80e591"}, + {file = "tokenizers-0.15.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c52606c233c759561a16e81b2290a7738c3affac7a0b1f0a16fe58dc22e04c7d"}, + {file = "tokenizers-0.15.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b72c658bbe5a05ed8bc2ac5ad782385bfd743ffa4bc87d9b5026341e709c6f44"}, + {file = "tokenizers-0.15.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:25f5643a2f005c42f0737a326c6c6bdfedfdc9a994b10a1923d9c3e792e4d6a6"}, + {file = "tokenizers-0.15.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c5b6f633999d6b42466bbfe21be2e26ad1760b6f106967a591a41d8cbca980e"}, + {file = "tokenizers-0.15.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:ceb5c9ad11a015150b545c1a11210966a45b8c3d68a942e57cf8938c578a77ca"}, + {file = "tokenizers-0.15.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:bedd4ce0c4872db193444c395b11c7697260ce86a635ab6d48102d76be07d324"}, + {file = "tokenizers-0.15.1-cp37-none-win32.whl", hash = "sha256:cd6caef6c14f5ed6d35f0ddb78eab8ca6306d0cd9870330bccff72ad014a6f42"}, + {file = "tokenizers-0.15.1-cp37-none-win_amd64.whl", hash = "sha256:d2bd7af78f58d75a55e5df61efae164ab9200c04b76025f9cc6eeb7aff3219c2"}, + {file = "tokenizers-0.15.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:59b3ca6c02e0bd5704caee274978bd055de2dff2e2f39dadf536c21032dfd432"}, + {file = "tokenizers-0.15.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:48fe21b67c22583bed71933a025fd66b1f5cfae1baefa423c3d40379b5a6e74e"}, + {file = "tokenizers-0.15.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:3d190254c66a20fb1efbdf035e6333c5e1f1c73b1f7bfad88f9c31908ac2c2c4"}, + {file = "tokenizers-0.15.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fef90c8f5abf17d48d6635f5fd92ad258acd1d0c2d920935c8bf261782cfe7c8"}, + {file = "tokenizers-0.15.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fac011ef7da3357aa7eb19efeecf3d201ede9618f37ddedddc5eb809ea0963ca"}, + {file = "tokenizers-0.15.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:574ec5b3e71d1feda6b0ecac0e0445875729b4899806efbe2b329909ec75cb50"}, + {file = "tokenizers-0.15.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aca16c3c0637c051a59ea99c4253f16fbb43034fac849076a7e7913b2b9afd2d"}, + {file = "tokenizers-0.15.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a6f238fc2bbfd3e12e8529980ec1624c7e5b69d4e959edb3d902f36974f725a"}, + {file = "tokenizers-0.15.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:587e11a26835b73c31867a728f32ca8a93c9ded4a6cd746516e68b9d51418431"}, + {file = "tokenizers-0.15.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6456e7ad397352775e2efdf68a9ec5d6524bbc4543e926eef428d36de627aed4"}, + {file = "tokenizers-0.15.1-cp38-none-win32.whl", hash = "sha256:614f0da7dd73293214bd143e6221cafd3f7790d06b799f33a987e29d057ca658"}, + {file = "tokenizers-0.15.1-cp38-none-win_amd64.whl", hash = "sha256:a4fa0a20d9f69cc2bf1cfce41aa40588598e77ec1d6f56bf0eb99769969d1ede"}, + {file = "tokenizers-0.15.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:8d3f18a45e0cf03ce193d5900460dc2430eec4e14c786e5d79bddba7ea19034f"}, + {file = "tokenizers-0.15.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:38dbd6c38f88ad7d5dc5d70c764415d38fe3bcd99dc81638b572d093abc54170"}, + {file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:777286b1f7e52de92aa4af49fe31046cfd32885d1bbaae918fab3bba52794c33"}, + {file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58d4d550a3862a47dd249892d03a025e32286eb73cbd6bc887fb8fb64bc97165"}, + {file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4eda68ce0344f35042ae89220b40a0007f721776b727806b5c95497b35714bb7"}, + {file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0cd33d15f7a3a784c3b665cfe807b8de3c6779e060349bd5005bb4ae5bdcb437"}, + {file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0a1aa370f978ac0bfb50374c3a40daa93fd56d47c0c70f0c79607fdac2ccbb42"}, + {file = "tokenizers-0.15.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:241482b940340fff26a2708cb9ba383a5bb8a2996d67a0ff2c4367bf4b86cc3a"}, + {file = "tokenizers-0.15.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:68f30b05f46a4d9aba88489eadd021904afe90e10a7950e28370d6e71b9db021"}, + {file = "tokenizers-0.15.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5a3c5d8025529670462b881b7b2527aacb6257398c9ec8e170070432c3ae3a82"}, + {file = "tokenizers-0.15.1-cp39-none-win32.whl", hash = "sha256:74d1827830f60a9d78da8f6d49a1fbea5422ce0eea42e2617877d23380a7efbc"}, + {file = "tokenizers-0.15.1-cp39-none-win_amd64.whl", hash = "sha256:9ff499923e4d6876d6b6a63ea84a56805eb35e91dd89b933a7aee0c56a3838c6"}, + {file = "tokenizers-0.15.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b3aa007a0f4408f62a8471bdaa3faccad644cbf2622639f2906b4f9b5339e8b8"}, + {file = "tokenizers-0.15.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:f3d4176fa93d8b2070db8f3c70dc21106ae6624fcaaa334be6bdd3a0251e729e"}, + {file = "tokenizers-0.15.1-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:1d0e463655ef8b2064df07bd4a445ed7f76f6da3b286b4590812587d42f80e89"}, + {file = "tokenizers-0.15.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:089138fd0351b62215c462a501bd68b8df0e213edcf99ab9efd5dba7b4cb733e"}, + {file = "tokenizers-0.15.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e563ac628f5175ed08e950430e2580e544b3e4b606a0995bb6b52b3a3165728"}, + {file = "tokenizers-0.15.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:244dcc28c5fde221cb4373961b20da30097669005b122384d7f9f22752487a46"}, + {file = "tokenizers-0.15.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:d82951d46052dddae1369e68ff799a0e6e29befa9a0b46e387ae710fd4daefb0"}, + {file = "tokenizers-0.15.1-pp37-pypy37_pp73-macosx_10_12_x86_64.whl", hash = "sha256:7b14296bc9059849246ceb256ffbe97f8806a9b5d707e0095c22db312f4fc014"}, + {file = "tokenizers-0.15.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0309357bb9b6c8d86cdf456053479d7112074b470651a997a058cd7ad1c4ea57"}, + {file = "tokenizers-0.15.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:083f06e9d8d01b70b67bcbcb7751b38b6005512cce95808be6bf34803534a7e7"}, + {file = "tokenizers-0.15.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85288aea86ada579789447f0dcec108ebef8da4b450037eb4813d83e4da9371e"}, + {file = "tokenizers-0.15.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:385e6fcb01e8de90c1d157ae2a5338b23368d0b1c4cc25088cdca90147e35d17"}, + {file = "tokenizers-0.15.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:60067edfcbf7d6cd448ac47af41ec6e84377efbef7be0c06f15a7c1dd069e044"}, + {file = "tokenizers-0.15.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5f7e37f89acfe237d4eaf93c3b69b0f01f407a7a5d0b5a8f06ba91943ea3cf10"}, + {file = "tokenizers-0.15.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:6a63a15b523d42ebc1f4028e5a568013388c2aefa4053a263e511cb10aaa02f1"}, + {file = "tokenizers-0.15.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:2417d9e4958a6c2fbecc34c27269e74561c55d8823bf914b422e261a11fdd5fd"}, + {file = "tokenizers-0.15.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8550974bace6210e41ab04231e06408cf99ea4279e0862c02b8d47e7c2b2828"}, + {file = "tokenizers-0.15.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:194ba82129b171bcd29235a969e5859a93e491e9b0f8b2581f500f200c85cfdd"}, + {file = "tokenizers-0.15.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:1bfd95eef8b01e6c0805dbccc8eaf41d8c5a84f0cce72c0ab149fe76aae0bce6"}, + {file = "tokenizers-0.15.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b87a15dd72f8216b03c151e3dace00c75c3fe7b0ee9643c25943f31e582f1a34"}, + {file = "tokenizers-0.15.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:6ac22f358a0c2a6c685be49136ce7ea7054108986ad444f567712cf274b34cd8"}, + {file = "tokenizers-0.15.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1e9d1f046a9b9d9a95faa103f07db5921d2c1c50f0329ebba4359350ee02b18b"}, + {file = "tokenizers-0.15.1-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:2a0fd30a4b74485f6a7af89fffb5fb84d6d5f649b3e74f8d37f624cc9e9e97cf"}, + {file = "tokenizers-0.15.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:80e45dc206b9447fa48795a1247c69a1732d890b53e2cc51ba42bc2fefa22407"}, + {file = "tokenizers-0.15.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4eaff56ef3e218017fa1d72007184401f04cb3a289990d2b6a0a76ce71c95f96"}, + {file = "tokenizers-0.15.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:b41dc107e4a4e9c95934e79b025228bbdda37d9b153d8b084160e88d5e48ad6f"}, + {file = "tokenizers-0.15.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:1922b8582d0c33488764bcf32e80ef6054f515369e70092729c928aae2284bc2"}, + {file = "tokenizers-0.15.1.tar.gz", hash = "sha256:c0a331d6d5a3d6e97b7f99f562cee8d56797180797bc55f12070e495e717c980"}, +] + +[package.dependencies] +huggingface_hub = ">=0.16.4,<1.0" + +[package.extras] +dev = ["tokenizers[testing]"] +docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"] +testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"] + [[package]] name = "tomli" version = "2.0.1" @@ -801,6 +997,26 @@ files = [ {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, ] +[[package]] +name = "tqdm" +version = "4.66.1" +description = "Fast, Extensible Progress Meter" +optional = false +python-versions = ">=3.7" +files = [ + {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"}, + {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[package.extras] +dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"] +notebook = ["ipywidgets (>=6)"] +slack = ["slack-sdk"] +telegram = ["requests"] + [[package]] name = "typing-extensions" version = "4.9.0" @@ -814,21 +1030,22 @@ files = [ [[package]] name = "urllib3" -version = "2.1.0" +version = "2.2.0" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.8" files = [ - {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"}, - {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"}, + {file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"}, + {file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"}, ] [package.extras] brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "72f02f84025d4cda9edb7f7105aecf65cc6341541143c45e5f2885c30aea5a0d" +content-hash = "e3e1795eb1e3f7828f431e7882e2c841148a95e0c5ac84f2e6e8623c884eda21" diff --git a/libs/partners/mistralai/pyproject.toml b/libs/partners/mistralai/pyproject.toml index 75c87ec329d26..b49fdbb93c420 100644 --- a/libs/partners/mistralai/pyproject.toml +++ b/libs/partners/mistralai/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langchain-mistralai" -version = "0.0.3" +version = "0.0.4" description = "An integration package connecting Mistral and LangChain" authors = [] readme = "README.md" @@ -14,6 +14,7 @@ license = "MIT" python = ">=3.8.1,<4.0" langchain-core = "^0.1" mistralai = "^0.0.11" +tokenizers = "^0.15.1" [tool.poetry.group.test] optional = true diff --git a/libs/partners/mistralai/tests/integration_tests/test_embeddings.py b/libs/partners/mistralai/tests/integration_tests/test_embeddings.py index 166bf5c5c15be..345c29b355506 100644 --- a/libs/partners/mistralai/tests/integration_tests/test_embeddings.py +++ b/libs/partners/mistralai/tests/integration_tests/test_embeddings.py @@ -1,4 +1,5 @@ """Test MistralAI Embedding""" + from langchain_mistralai import MistralAIEmbeddings @@ -38,10 +39,10 @@ async def test_mistralai_embedding_query_async() -> None: def test_mistralai_embedding_documents_long() -> None: """Test MistralAI embeddings for documents.""" - documents = ["foo bar " * 1000, "test document " * 1000] + documents = ["foo bar " * 1000, "test document " * 1000] * 5 embedding = MistralAIEmbeddings() output = embedding.embed_documents(documents) - assert len(output) == 2 + assert len(output) == 10 assert len(output[0]) == 1024 diff --git a/libs/partners/nvidia-ai-endpoints/pyproject.toml b/libs/partners/nvidia-ai-endpoints/pyproject.toml index fe13960fd753e..e75e70c8c5435 100644 --- a/libs/partners/nvidia-ai-endpoints/pyproject.toml +++ b/libs/partners/nvidia-ai-endpoints/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langchain-nvidia-ai-endpoints" -version = "0.0.1.post2" +version = "0.0.2" description = "An integration package connecting NVIDIA AI Endpoints and LangChain" authors = [] readme = "README.md" diff --git a/libs/partners/nvidia-trt/langchain_nvidia_trt/llms.py b/libs/partners/nvidia-trt/langchain_nvidia_trt/llms.py index 36e1e6e5ca936..0ea1fca1df8f1 100644 --- a/libs/partners/nvidia-trt/langchain_nvidia_trt/llms.py +++ b/libs/partners/nvidia-trt/langchain_nvidia_trt/llms.py @@ -199,10 +199,13 @@ def _request( result_queue = self._invoke_triton(self.model_name, inputs, outputs, stop) result_str = "" - for token in result_queue: - result_str += token - - self.client.stop_stream() + try: + for token in result_queue: + if isinstance(token, Exception): + raise token + result_str += token + finally: + self.client.stop_stream() return result_str diff --git a/libs/partners/pinecone/tests/integration_tests/test_vectorstores.py b/libs/partners/pinecone/tests/integration_tests/test_vectorstores.py index 3abdabe256a8c..eb1f959839f15 100644 --- a/libs/partners/pinecone/tests/integration_tests/test_vectorstores.py +++ b/libs/partners/pinecone/tests/integration_tests/test_vectorstores.py @@ -100,15 +100,17 @@ def test_from_texts_with_metadatas( texts = [needs] + texts metadatas = [{"page": i} for i in range(len(texts))] + + namespace = f"{NAMESPACE_NAME}-md" docsearch = Pinecone.from_texts( texts, embedding_openai, index_name=INDEX_NAME, metadatas=metadatas, - namespace=NAMESPACE_NAME, + namespace=namespace, ) time.sleep(DEFAULT_SLEEP) # prevent race condition - output = docsearch.similarity_search(needs, k=1, namespace=NAMESPACE_NAME) + output = docsearch.similarity_search(needs, k=1, namespace=namespace) # TODO: why metadata={"page": 0.0}) instead of {"page": 0}? assert output == [Document(page_content=needs, metadata={"page": 0.0})]