diff --git a/docs/docs/integrations/llms/oci_model_deployment_endpoint.ipynb b/docs/docs/integrations/llms/oci_model_deployment_endpoint.ipynb new file mode 100644 index 0000000000000..b7be0db497050 --- /dev/null +++ b/docs/docs/integrations/llms/oci_model_deployment_endpoint.ipynb @@ -0,0 +1,131 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# OCI Data Science Model Deployment Endpoint\n", + "\n", + "[OCI Data Science](https://docs.oracle.com/en-us/iaas/data-science/using/home.htm) is a fully managed and serverless platform for data science teams to build, train, and manage machine learning models in the Oracle Cloud Infrastructure.\n", + "\n", + "This notebooks goes over how to use an LLM hosted on a [OCI Data Science Model Deployment](https://docs.oracle.com/en-us/iaas/data-science/using/model-dep-about.htm).\n", + "\n", + "To authenticate, [oracle-ads](https://accelerated-data-science.readthedocs.io/en/latest/user_guide/cli/authentication.html) has been used to automatically load credentials for invoking endpoint." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip3 install oracle-ads" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prerequisite\n", + "\n", + "### Deploy model\n", + "Check [Oracle GitHub samples repository](https://github.com/oracle-samples/oci-data-science-ai-samples/tree/main/model-deployment/containers/llama2) on how to deploy your llm on OCI Data Science Model deployment.\n", + "\n", + "### Policies\n", + "Make sure to have the required [policies](https://docs.oracle.com/en-us/iaas/data-science/using/model-dep-policies-auth.htm#model_dep_policies_auth__predict-endpoint) to access the OCI Data Science Model Deployment endpoint.\n", + "\n", + "## Set up\n", + "\n", + "### vLLM\n", + "After having deployed model, you have to set up following required parameters of the `OCIModelDeploymentVLLM` call:\n", + "\n", + "- **`endpoint`**: The model HTTP endpoint from the deployed model, e.g. `https:///predict`. \n", + "- **`model`**: The location of the model.\n", + "\n", + "### Text generation inference (TGI)\n", + "You have to set up following required parameters of the `OCIModelDeploymentTGI` call:\n", + "\n", + "- **`endpoint`**: The model HTTP endpoint from the deployed model, e.g. `https:///predict`. \n", + "\n", + "### Authentication\n", + "\n", + "You can set authentication through either ads or environment variables. When you are working in OCI Data Science Notebook Session, you can leverage resource principal to access other OCI resources. Check out [here](https://accelerated-data-science.readthedocs.io/en/latest/user_guide/cli/authentication.html) to see more options. \n", + "\n", + "## Example" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import ads\n", + "from langchain_community.llms import OCIModelDeploymentVLLM\n", + "\n", + "# Set authentication through ads\n", + "# Use resource principal are operating within a\n", + "# OCI service that has resource principal based\n", + "# authentication configured\n", + "ads.set_auth(\"resource_principal\")\n", + "\n", + "# Create an instance of OCI Model Deployment Endpoint\n", + "# Replace the endpoint uri and model name with your own\n", + "llm = OCIModelDeploymentVLLM(endpoint=\"https:///predict\", model=\"model_name\")\n", + "\n", + "# Run the LLM\n", + "llm.invoke(\"Who is the first president of United States?\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "from langchain_community.llms import OCIModelDeploymentTGI\n", + "\n", + "# Set authentication through environment variables\n", + "# Use API Key setup when you are working from a local\n", + "# workstation or on platform which does not support\n", + "# resource principals.\n", + "os.environ[\"OCI_IAM_TYPE\"] = \"api_key\"\n", + "os.environ[\"OCI_CONFIG_PROFILE\"] = \"default\"\n", + "os.environ[\"OCI_CONFIG_LOCATION\"] = \"~/.oci\"\n", + "\n", + "# Set endpoint through environment variables\n", + "# Replace the endpoint uri with your own\n", + "os.environ[\"OCI_LLM_ENDPOINT\"] = \"https:///predict\"\n", + "\n", + "# Create an instance of OCI Model Deployment Endpoint\n", + "llm = OCIModelDeploymentTGI()\n", + "\n", + "# Run the LLM\n", + "llm.invoke(\"Who is the first president of United States?\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "langchain", + "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": "3.9.18" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/libs/community/langchain_community/llms/__init__.py b/libs/community/langchain_community/llms/__init__.py index dae051c95609d..d13d099dc1eca 100644 --- a/libs/community/langchain_community/llms/__init__.py +++ b/libs/community/langchain_community/llms/__init__.py @@ -324,6 +324,22 @@ def _import_nlpcloud() -> Any: return NLPCloud +def _import_oci_md_tgi() -> Any: + from langchain_community.llms.oci_data_science_model_deployment_endpoint import ( + OCIModelDeploymentTGI, + ) + + return OCIModelDeploymentTGI + + +def _import_oci_md_vllm() -> Any: + from langchain_community.llms.oci_data_science_model_deployment_endpoint import ( + OCIModelDeploymentVLLM, + ) + + return OCIModelDeploymentVLLM + + def _import_octoai_endpoint() -> Any: from langchain_community.llms.octoai_endpoint import OctoAIEndpoint @@ -639,6 +655,10 @@ def __getattr__(name: str) -> Any: return _import_mosaicml() elif name == "NLPCloud": return _import_nlpcloud() + elif name == "OCIModelDeploymentTGI": + return _import_oci_md_tgi() + elif name == "OCIModelDeploymentVLLM": + return _import_oci_md_vllm() elif name == "OctoAIEndpoint": return _import_octoai_endpoint() elif name == "Ollama": @@ -770,6 +790,8 @@ def __getattr__(name: str) -> Any: "Nebula", "NIBittensorLLM", "NLPCloud", + "OCIModelDeploymentTGI", + "OCIModelDeploymentVLLM", "Ollama", "OpenAI", "OpenAIChat", @@ -857,6 +879,8 @@ def get_type_to_cls_dict() -> Dict[str, Callable[[], Type[BaseLLM]]]: "nebula": _import_symblai_nebula, "nibittensor": _import_bittensor, "nlpcloud": _import_nlpcloud, + "oci_model_deployment_tgi_endpoint": _import_oci_md_tgi, + "oci_model_deployment_vllm_endpoint": _import_oci_md_vllm, "ollama": _import_ollama, "openai": _import_openai, "openlm": _import_openlm, diff --git a/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py b/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py new file mode 100644 index 0000000000000..630fa228c4d30 --- /dev/null +++ b/libs/community/langchain_community/llms/oci_data_science_model_deployment_endpoint.py @@ -0,0 +1,362 @@ +import logging +from typing import Any, Dict, List, Optional + +import requests +from langchain_core.callbacks import CallbackManagerForLLMRun +from langchain_core.language_models.llms import LLM +from langchain_core.pydantic_v1 import Field, root_validator +from langchain_core.utils import get_from_dict_or_env + +logger = logging.getLogger(__name__) + +DEFAULT_TIME_OUT = 300 +DEFAULT_CONTENT_TYPE_JSON = "application/json" + + +class OCIModelDeploymentLLM(LLM): + """Base class for LLM deployed on OCI Data Science Model Deployment.""" + + auth: dict = Field(default_factory=dict, exclude=True) + """ADS auth dictionary for OCI authentication: + https://accelerated-data-science.readthedocs.io/en/latest/user_guide/cli/authentication.html. + This can be generated by calling `ads.common.auth.api_keys()` + or `ads.common.auth.resource_principal()`. If this is not + provided then the `ads.common.default_signer()` will be used.""" + + max_tokens: int = 256 + """Denotes the number of tokens to predict per generation.""" + + temperature: float = 0.2 + """A non-negative float that tunes the degree of randomness in generation.""" + + k: int = 0 + """Number of most likely tokens to consider at each step.""" + + p: float = 0.75 + """Total probability mass of tokens to consider at each step.""" + + endpoint: str = "" + """The uri of the endpoint from the deployed Model Deployment model.""" + + best_of: int = 1 + """Generates best_of completions server-side and returns the "best" + (the one with the highest log probability per token). + """ + + stop: Optional[List[str]] = None + """Stop words to use when generating. Model output is cut off + at the first occurrence of any of these substrings.""" + + @root_validator() + def validate_environment( # pylint: disable=no-self-argument + cls, values: Dict + ) -> Dict: + """Validate that python package exists in environment.""" + try: + import ads + + except ImportError as ex: + raise ImportError( + "Could not import ads python package. " + "Please install it with `pip install oracle_ads`." + ) from ex + if not values.get("auth", None): + values["auth"] = ads.common.auth.default_signer() + values["endpoint"] = get_from_dict_or_env( + values, + "endpoint", + "OCI_LLM_ENDPOINT", + ) + return values + + @property + def _default_params(self) -> Dict[str, Any]: + """Default parameters for the model.""" + raise NotImplementedError + + @property + def _identifying_params(self) -> Dict[str, Any]: + """Get the identifying parameters.""" + return { + **{"endpoint": self.endpoint}, + **self._default_params, + } + + def _construct_json_body(self, prompt: str, params: dict) -> dict: + """Constructs the request body as a dictionary (JSON).""" + raise NotImplementedError + + def _invocation_params(self, stop: Optional[List[str]], **kwargs: Any) -> dict: + """Combines the invocation parameters with default parameters.""" + params = self._default_params + if self.stop is not None and stop is not None: + raise ValueError("`stop` found in both the input and default params.") + elif self.stop is not None: + params["stop"] = self.stop + elif stop is not None: + params["stop"] = stop + else: + # Don't set "stop" in param as None. It should be a list. + params["stop"] = [] + + return {**params, **kwargs} + + def _process_response(self, response_json: dict) -> str: + raise NotImplementedError + + def _call( + self, + prompt: str, + stop: Optional[List[str]] = None, + run_manager: Optional[CallbackManagerForLLMRun] = None, + **kwargs: Any, + ) -> str: + """Call out to OCI Data Science Model Deployment endpoint. + + Args: + prompt (str): + The prompt to pass into the model. + stop (List[str], Optional): + List of stop words to use when generating. + kwargs: + requests_kwargs: + Additional ``**kwargs`` to pass to requests.post + + Returns: + The string generated by the model. + + Example: + .. code-block:: python + + response = oci_md("Tell me a joke.") + + """ + requests_kwargs = kwargs.pop("requests_kwargs", {}) + params = self._invocation_params(stop, **kwargs) + body = self._construct_json_body(prompt, params) + logger.info(f"LLM API Request:\n{prompt}") + response = self._send_request( + data=body, endpoint=self.endpoint, **requests_kwargs + ) + completion = self._process_response(response) + logger.info(f"LLM API Completion:\n{completion}") + return completion + + def _send_request( + self, + data: Any, + endpoint: str, + header: Optional[dict] = {}, + **kwargs: Any, + ) -> Dict: + """Sends request to the oci data science model deployment endpoint. + + Args: + data (Json serializable): + data need to be sent to the endpoint. + endpoint (str): + The model HTTP endpoint. + header (dict, optional): + A dictionary of HTTP headers to send to the specified url. + Defaults to {}. + kwargs: + Additional ``**kwargs`` to pass to requests.post. + Raises: + Exception: + Raise when invoking fails. + + Returns: + A JSON representation of a requests.Response object. + """ + if not header: + header = {} + header["Content-Type"] = ( + header.pop("content_type", DEFAULT_CONTENT_TYPE_JSON) + or DEFAULT_CONTENT_TYPE_JSON + ) + request_kwargs = {"json": data} + request_kwargs["headers"] = header + timeout = kwargs.pop("timeout", DEFAULT_TIME_OUT) + + attempts = 0 + while attempts < 2: + request_kwargs["auth"] = self.auth.get("signer") + response = requests.post( + endpoint, timeout=timeout, **request_kwargs, **kwargs + ) + if response.status_code == 401: + self._refresh_signer() + attempts += 1 + continue + break + + try: + response.raise_for_status() + response_json = response.json() + + except Exception: + logger.error( + "DEBUG INFO: request_kwargs=%s, status_code=%s, content=%s", + request_kwargs, + response.status_code, + response.content, + ) + raise + + return response_json + + def _refresh_signer(self) -> None: + if self.auth.get("signer", None) and hasattr( + self.auth["signer"], "refresh_security_token" + ): + self.auth["signer"].refresh_security_token() + + +class OCIModelDeploymentTGI(OCIModelDeploymentLLM): + """OCI Data Science Model Deployment TGI Endpoint. + + To use, you must provide the model HTTP endpoint from your deployed + model, e.g. https:///predict. + + To authenticate, `oracle-ads` has been used to automatically load + credentials: https://accelerated-data-science.readthedocs.io/en/latest/user_guide/cli/authentication.html + + Make sure to have the required policies to access the OCI Data + Science Model Deployment endpoint. See: + https://docs.oracle.com/en-us/iaas/data-science/using/model-dep-policies-auth.htm#model_dep_policies_auth__predict-endpoint + + Example: + .. code-block:: python + + from langchain.llms import ModelDeploymentTGI + + oci_md = ModelDeploymentTGI(endpoint="https:///predict") + + """ + + do_sample: bool = True + """If set to True, this parameter enables decoding strategies such as + multi-nominal sampling, beam-search multi-nominal sampling, Top-K + sampling and Top-p sampling. + """ + + watermark = True + """Watermarking with `A Watermark for Large Language Models `_. + Defaults to True.""" + + return_full_text = False + """Whether to prepend the prompt to the generated text. Defaults to False.""" + + @property + def _llm_type(self) -> str: + """Return type of llm.""" + return "oci_model_deployment_tgi_endpoint" + + @property + def _default_params(self) -> Dict[str, Any]: + """Get the default parameters for invoking OCI model deployment TGI endpoint.""" + return { + "best_of": self.best_of, + "max_new_tokens": self.max_tokens, + "temperature": self.temperature, + "top_k": self.k + if self.k > 0 + else None, # `top_k` must be strictly positive' + "top_p": self.p, + "do_sample": self.do_sample, + "return_full_text": self.return_full_text, + "watermark": self.watermark, + } + + def _construct_json_body(self, prompt: str, params: dict) -> dict: + return { + "inputs": prompt, + "parameters": params, + } + + def _process_response(self, response_json: dict) -> str: + return str(response_json.get("generated_text", response_json)) + "\n" + + +class OCIModelDeploymentVLLM(OCIModelDeploymentLLM): + """VLLM deployed on OCI Data Science Model Deployment + + To use, you must provide the model HTTP endpoint from your deployed + model, e.g. https:///predict. + + To authenticate, `oracle-ads` has been used to automatically load + credentials: https://accelerated-data-science.readthedocs.io/en/latest/user_guide/cli/authentication.html + + Make sure to have the required policies to access the OCI Data + Science Model Deployment endpoint. See: + https://docs.oracle.com/en-us/iaas/data-science/using/model-dep-policies-auth.htm#model_dep_policies_auth__predict-endpoint + + Example: + .. code-block:: python + + from langchain.llms import OCIModelDeploymentVLLM + + oci_md = OCIModelDeploymentVLLM( + endpoint="https:///predict", + model="mymodel" + ) + + """ + + model: str + """The name of the model.""" + + n: int = 1 + """Number of output sequences to return for the given prompt.""" + + k: int = -1 + """Number of most likely tokens to consider at each step.""" + + frequency_penalty: float = 0.0 + """Penalizes repeated tokens according to frequency. Between 0 and 1.""" + + presence_penalty: float = 0.0 + """Penalizes repeated tokens. Between 0 and 1.""" + + use_beam_search: bool = False + """Whether to use beam search instead of sampling.""" + + ignore_eos: bool = False + """Whether to ignore the EOS token and continue generating tokens after + the EOS token is generated.""" + + logprobs: Optional[int] = None + """Number of log probabilities to return per output token.""" + + @property + def _llm_type(self) -> str: + """Return type of llm.""" + return "oci_model_deployment_vllm_endpoint" + + @property + def _default_params(self) -> Dict[str, Any]: + """Get the default parameters for calling vllm.""" + return { + "best_of": self.best_of, + "frequency_penalty": self.frequency_penalty, + "ignore_eos": self.ignore_eos, + "logprobs": self.logprobs, + "max_tokens": self.max_tokens, + "model": self.model, + "n": self.n, + "presence_penalty": self.presence_penalty, + "stop": self.stop, + "temperature": self.temperature, + "top_k": self.k, + "top_p": self.p, + "use_beam_search": self.use_beam_search, + } + + def _construct_json_body(self, prompt: str, params: dict) -> dict: + return { + "prompt": prompt, + **params, + } + + def _process_response(self, response_json: dict) -> str: + return response_json["choices"][0]["text"] diff --git a/libs/community/poetry.lock b/libs/community/poetry.lock index e4dffd10f5fa9..0f41b5941bed9 100644 --- a/libs/community/poetry.lock +++ b/libs/community/poetry.lock @@ -375,6 +375,23 @@ websockets = ">=11.0" [package.extras] extras = ["pyaudio (>=0.2.13)"] +[[package]] +name = "asteval" +version = "0.9.31" +description = "Safe, minimalistic evaluator of python expression using ast module" +optional = true +python-versions = ">=3.7" +files = [ + {file = "asteval-0.9.31-py3-none-any.whl", hash = "sha256:2761750c184d97707c292b62df3b10e330a809a2201721acc435a2b89a114263"}, + {file = "asteval-0.9.31.tar.gz", hash = "sha256:a2da066b6696dba9835c5f7dec63e0ffb5bd2b4e3bb5f0b9a604aeafb17d833d"}, +] + +[package.extras] +all = ["Sphinx", "build", "coverage", "pytest", "pytest-cov", "twine"] +dev = ["build", "twine"] +doc = ["Sphinx"] +test = ["coverage", "pytest", "pytest-cov"] + [[package]] name = "asttokens" version = "2.4.1" @@ -761,6 +778,17 @@ cassandra-driver = ">=3.28.0" numpy = ">=1.0" requests = ">=2" +[[package]] +name = "cerberus" +version = "1.3.5" +description = "Lightweight, extensible schema and data validation tool for Pythondictionaries." +optional = true +python-versions = "*" +files = [ + {file = "Cerberus-1.3.5-py3-none-any.whl", hash = "sha256:7649a5815024d18eb7c6aa5e7a95355c649a53aacfc9b050e9d0bf6bfa2af372"}, + {file = "Cerberus-1.3.5.tar.gz", hash = "sha256:81011e10266ef71b6ec6d50e60171258a5b134d69f8fb387d16e4936d0d47642"}, +] + [[package]] name = "certifi" version = "2023.11.17" @@ -946,6 +974,16 @@ files = [ {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"}, ] +[[package]] +name = "circuitbreaker" +version = "1.4.0" +description = "Python Circuit Breaker pattern implementation" +optional = true +python-versions = "*" +files = [ + {file = "circuitbreaker-1.4.0.tar.gz", hash = "sha256:80b7bda803d9a20e568453eb26f3530cd9bf602d6414f6ff6a74c611603396d2"}, +] + [[package]] name = "click" version = "8.1.7" @@ -1086,6 +1124,135 @@ traitlets = ">=4" [package.extras] test = ["pytest"] +[[package]] +name = "contourpy" +version = "1.1.0" +description = "Python library for calculating contours of 2D quadrilateral grids" +optional = true +python-versions = ">=3.8" +files = [ + {file = "contourpy-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:89f06eff3ce2f4b3eb24c1055a26981bffe4e7264acd86f15b97e40530b794bc"}, + {file = "contourpy-1.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dffcc2ddec1782dd2f2ce1ef16f070861af4fb78c69862ce0aab801495dda6a3"}, + {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25ae46595e22f93592d39a7eac3d638cda552c3e1160255258b695f7b58e5655"}, + {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:17cfaf5ec9862bc93af1ec1f302457371c34e688fbd381f4035a06cd47324f48"}, + {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18a64814ae7bce73925131381603fff0116e2df25230dfc80d6d690aa6e20b37"}, + {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90c81f22b4f572f8a2110b0b741bb64e5a6427e0a198b2cdc1fbaf85f352a3aa"}, + {file = "contourpy-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:53cc3a40635abedbec7f1bde60f8c189c49e84ac180c665f2cd7c162cc454baa"}, + {file = "contourpy-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:1f795597073b09d631782e7245016a4323cf1cf0b4e06eef7ea6627e06a37ff2"}, + {file = "contourpy-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0b7b04ed0961647691cfe5d82115dd072af7ce8846d31a5fac6c142dcce8b882"}, + {file = "contourpy-1.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27bc79200c742f9746d7dd51a734ee326a292d77e7d94c8af6e08d1e6c15d545"}, + {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:052cc634bf903c604ef1a00a5aa093c54f81a2612faedaa43295809ffdde885e"}, + {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9382a1c0bc46230fb881c36229bfa23d8c303b889b788b939365578d762b5c18"}, + {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5cec36c5090e75a9ac9dbd0ff4a8cf7cecd60f1b6dc23a374c7d980a1cd710e"}, + {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f0cbd657e9bde94cd0e33aa7df94fb73c1ab7799378d3b3f902eb8eb2e04a3a"}, + {file = "contourpy-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:181cbace49874f4358e2929aaf7ba84006acb76694102e88dd15af861996c16e"}, + {file = "contourpy-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:fb3b7d9e6243bfa1efb93ccfe64ec610d85cfe5aec2c25f97fbbd2e58b531256"}, + {file = "contourpy-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bcb41692aa09aeb19c7c213411854402f29f6613845ad2453d30bf421fe68fed"}, + {file = "contourpy-1.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5d123a5bc63cd34c27ff9c7ac1cd978909e9c71da12e05be0231c608048bb2ae"}, + {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62013a2cf68abc80dadfd2307299bfa8f5aa0dcaec5b2954caeb5fa094171103"}, + {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0b6616375d7de55797d7a66ee7d087efe27f03d336c27cf1f32c02b8c1a5ac70"}, + {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:317267d915490d1e84577924bd61ba71bf8681a30e0d6c545f577363157e5e94"}, + {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d551f3a442655f3dcc1285723f9acd646ca5858834efeab4598d706206b09c9f"}, + {file = "contourpy-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:e7a117ce7df5a938fe035cad481b0189049e8d92433b4b33aa7fc609344aafa1"}, + {file = "contourpy-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:d4f26b25b4f86087e7d75e63212756c38546e70f2a92d2be44f80114826e1cd4"}, + {file = "contourpy-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bc00bb4225d57bff7ebb634646c0ee2a1298402ec10a5fe7af79df9a51c1bfd9"}, + {file = "contourpy-1.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:189ceb1525eb0655ab8487a9a9c41f42a73ba52d6789754788d1883fb06b2d8a"}, + {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f2931ed4741f98f74b410b16e5213f71dcccee67518970c42f64153ea9313b9"}, + {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:30f511c05fab7f12e0b1b7730ebdc2ec8deedcfb505bc27eb570ff47c51a8f15"}, + {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:143dde50520a9f90e4a2703f367cf8ec96a73042b72e68fcd184e1279962eb6f"}, + {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e94bef2580e25b5fdb183bf98a2faa2adc5b638736b2c0a4da98691da641316a"}, + {file = "contourpy-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ed614aea8462735e7d70141374bd7650afd1c3f3cb0c2dbbcbe44e14331bf002"}, + {file = "contourpy-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:438ba416d02f82b692e371858143970ed2eb6337d9cdbbede0d8ad9f3d7dd17d"}, + {file = "contourpy-1.1.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a698c6a7a432789e587168573a864a7ea374c6be8d4f31f9d87c001d5a843493"}, + {file = "contourpy-1.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:397b0ac8a12880412da3551a8cb5a187d3298a72802b45a3bd1805e204ad8439"}, + {file = "contourpy-1.1.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:a67259c2b493b00e5a4d0f7bfae51fb4b3371395e47d079a4446e9b0f4d70e76"}, + {file = "contourpy-1.1.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2b836d22bd2c7bb2700348e4521b25e077255ebb6ab68e351ab5aa91ca27e027"}, + {file = "contourpy-1.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:084eaa568400cfaf7179b847ac871582199b1b44d5699198e9602ecbbb5f6104"}, + {file = "contourpy-1.1.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:911ff4fd53e26b019f898f32db0d4956c9d227d51338fb3b03ec72ff0084ee5f"}, + {file = "contourpy-1.1.0.tar.gz", hash = "sha256:e53046c3863828d21d531cc3b53786e6580eb1ba02477e8681009b6aa0870b21"}, +] + +[package.dependencies] +numpy = ">=1.16" + +[package.extras] +bokeh = ["bokeh", "selenium"] +docs = ["furo", "sphinx-copybutton"] +mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.2.0)", "types-Pillow"] +test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] +test-no-images = ["pytest", "pytest-cov", "wurlitzer"] + +[[package]] +name = "contourpy" +version = "1.1.1" +description = "Python library for calculating contours of 2D quadrilateral grids" +optional = true +python-versions = ">=3.8" +files = [ + {file = "contourpy-1.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:46e24f5412c948d81736509377e255f6040e94216bf1a9b5ea1eaa9d29f6ec1b"}, + {file = "contourpy-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e48694d6a9c5a26ee85b10130c77a011a4fedf50a7279fa0bdaf44bafb4299d"}, + {file = "contourpy-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a66045af6cf00e19d02191ab578a50cb93b2028c3eefed999793698e9ea768ae"}, + {file = "contourpy-1.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4ebf42695f75ee1a952f98ce9775c873e4971732a87334b099dde90b6af6a916"}, + {file = "contourpy-1.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f6aec19457617ef468ff091669cca01fa7ea557b12b59a7908b9474bb9674cf0"}, + {file = "contourpy-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:462c59914dc6d81e0b11f37e560b8a7c2dbab6aca4f38be31519d442d6cde1a1"}, + {file = "contourpy-1.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6d0a8efc258659edc5299f9ef32d8d81de8b53b45d67bf4bfa3067f31366764d"}, + {file = "contourpy-1.1.1-cp310-cp310-win32.whl", hash = "sha256:d6ab42f223e58b7dac1bb0af32194a7b9311065583cc75ff59dcf301afd8a431"}, + {file = "contourpy-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:549174b0713d49871c6dee90a4b499d3f12f5e5f69641cd23c50a4542e2ca1eb"}, + {file = "contourpy-1.1.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:407d864db716a067cc696d61fa1ef6637fedf03606e8417fe2aeed20a061e6b2"}, + {file = "contourpy-1.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe80c017973e6a4c367e037cb31601044dd55e6bfacd57370674867d15a899b"}, + {file = "contourpy-1.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e30aaf2b8a2bac57eb7e1650df1b3a4130e8d0c66fc2f861039d507a11760e1b"}, + {file = "contourpy-1.1.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3de23ca4f381c3770dee6d10ead6fff524d540c0f662e763ad1530bde5112532"}, + {file = "contourpy-1.1.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:566f0e41df06dfef2431defcfaa155f0acfa1ca4acbf8fd80895b1e7e2ada40e"}, + {file = "contourpy-1.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b04c2f0adaf255bf756cf08ebef1be132d3c7a06fe6f9877d55640c5e60c72c5"}, + {file = "contourpy-1.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d0c188ae66b772d9d61d43c6030500344c13e3f73a00d1dc241da896f379bb62"}, + {file = "contourpy-1.1.1-cp311-cp311-win32.whl", hash = "sha256:0683e1ae20dc038075d92e0e0148f09ffcefab120e57f6b4c9c0f477ec171f33"}, + {file = "contourpy-1.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:8636cd2fc5da0fb102a2504fa2c4bea3cbc149533b345d72cdf0e7a924decc45"}, + {file = "contourpy-1.1.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:560f1d68a33e89c62da5da4077ba98137a5e4d3a271b29f2f195d0fba2adcb6a"}, + {file = "contourpy-1.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:24216552104ae8f3b34120ef84825400b16eb6133af2e27a190fdc13529f023e"}, + {file = "contourpy-1.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56de98a2fb23025882a18b60c7f0ea2d2d70bbbcfcf878f9067234b1c4818442"}, + {file = "contourpy-1.1.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:07d6f11dfaf80a84c97f1a5ba50d129d9303c5b4206f776e94037332e298dda8"}, + {file = "contourpy-1.1.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f1eaac5257a8f8a047248d60e8f9315c6cff58f7803971170d952555ef6344a7"}, + {file = "contourpy-1.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19557fa407e70f20bfaba7d55b4d97b14f9480856c4fb65812e8a05fe1c6f9bf"}, + {file = "contourpy-1.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:081f3c0880712e40effc5f4c3b08feca6d064cb8cfbb372ca548105b86fd6c3d"}, + {file = "contourpy-1.1.1-cp312-cp312-win32.whl", hash = "sha256:059c3d2a94b930f4dafe8105bcdc1b21de99b30b51b5bce74c753686de858cb6"}, + {file = "contourpy-1.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:f44d78b61740e4e8c71db1cf1fd56d9050a4747681c59ec1094750a658ceb970"}, + {file = "contourpy-1.1.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:70e5a10f8093d228bb2b552beeb318b8928b8a94763ef03b858ef3612b29395d"}, + {file = "contourpy-1.1.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8394e652925a18ef0091115e3cc191fef350ab6dc3cc417f06da66bf98071ae9"}, + {file = "contourpy-1.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5bd5680f844c3ff0008523a71949a3ff5e4953eb7701b28760805bc9bcff217"}, + {file = "contourpy-1.1.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:66544f853bfa85c0d07a68f6c648b2ec81dafd30f272565c37ab47a33b220684"}, + {file = "contourpy-1.1.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0c02b75acfea5cab07585d25069207e478d12309557f90a61b5a3b4f77f46ce"}, + {file = "contourpy-1.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41339b24471c58dc1499e56783fedc1afa4bb018bcd035cfb0ee2ad2a7501ef8"}, + {file = "contourpy-1.1.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:f29fb0b3f1217dfe9362ec55440d0743fe868497359f2cf93293f4b2701b8251"}, + {file = "contourpy-1.1.1-cp38-cp38-win32.whl", hash = "sha256:f9dc7f933975367251c1b34da882c4f0e0b2e24bb35dc906d2f598a40b72bfc7"}, + {file = "contourpy-1.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:498e53573e8b94b1caeb9e62d7c2d053c263ebb6aa259c81050766beb50ff8d9"}, + {file = "contourpy-1.1.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ba42e3810999a0ddd0439e6e5dbf6d034055cdc72b7c5c839f37a7c274cb4eba"}, + {file = "contourpy-1.1.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6c06e4c6e234fcc65435223c7b2a90f286b7f1b2733058bdf1345d218cc59e34"}, + {file = "contourpy-1.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca6fab080484e419528e98624fb5c4282148b847e3602dc8dbe0cb0669469887"}, + {file = "contourpy-1.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:93df44ab351119d14cd1e6b52a5063d3336f0754b72736cc63db59307dabb718"}, + {file = "contourpy-1.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eafbef886566dc1047d7b3d4b14db0d5b7deb99638d8e1be4e23a7c7ac59ff0f"}, + {file = "contourpy-1.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efe0fab26d598e1ec07d72cf03eaeeba8e42b4ecf6b9ccb5a356fde60ff08b85"}, + {file = "contourpy-1.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f08e469821a5e4751c97fcd34bcb586bc243c39c2e39321822060ba902eac49e"}, + {file = "contourpy-1.1.1-cp39-cp39-win32.whl", hash = "sha256:bfc8a5e9238232a45ebc5cb3bfee71f1167064c8d382cadd6076f0d51cff1da0"}, + {file = "contourpy-1.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:c84fdf3da00c2827d634de4fcf17e3e067490c4aea82833625c4c8e6cdea0887"}, + {file = "contourpy-1.1.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:229a25f68046c5cf8067d6d6351c8b99e40da11b04d8416bf8d2b1d75922521e"}, + {file = "contourpy-1.1.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a10dab5ea1bd4401c9483450b5b0ba5416be799bbd50fc7a6cc5e2a15e03e8a3"}, + {file = "contourpy-1.1.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:4f9147051cb8fdb29a51dc2482d792b3b23e50f8f57e3720ca2e3d438b7adf23"}, + {file = "contourpy-1.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a75cc163a5f4531a256f2c523bd80db509a49fc23721b36dd1ef2f60ff41c3cb"}, + {file = "contourpy-1.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b53d5769aa1f2d4ea407c65f2d1d08002952fac1d9e9d307aa2e1023554a163"}, + {file = "contourpy-1.1.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:11b836b7dbfb74e049c302bbf74b4b8f6cb9d0b6ca1bf86cfa8ba144aedadd9c"}, + {file = "contourpy-1.1.1.tar.gz", hash = "sha256:96ba37c2e24b7212a77da85004c38e7c4d155d3e72a45eeaf22c1f03f607e8ab"}, +] + +[package.dependencies] +numpy = {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""} + +[package.extras] +bokeh = ["bokeh", "selenium"] +docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"] +mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.4.1)", "types-Pillow"] +test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] +test-no-images = ["pytest", "pytest-cov", "wurlitzer"] + [[package]] name = "coverage" version = "7.3.2" @@ -1209,6 +1376,21 @@ files = [ {file = "cssselect-1.2.0.tar.gz", hash = "sha256:666b19839cfaddb9ce9d36bfe4c969132c647b92fc9088c4e23f786b30f1b3dc"}, ] +[[package]] +name = "cycler" +version = "0.12.1" +description = "Composable style cycles" +optional = true +python-versions = ">=3.8" +files = [ + {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"}, + {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"}, +] + +[package.extras] +docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] +tests = ["pytest", "pytest-cov", "pytest-xdist"] + [[package]] name = "dashvector" version = "1.0.7" @@ -1802,6 +1984,71 @@ files = [ {file = "flatbuffers-23.5.26.tar.gz", hash = "sha256:9ea1144cac05ce5d86e2859f431c6cd5e66cd9c78c558317c7955fb8d4c78d89"}, ] +[[package]] +name = "fonttools" +version = "4.47.0" +description = "Tools to manipulate font files" +optional = true +python-versions = ">=3.8" +files = [ + {file = "fonttools-4.47.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2d2404107626f97a221dc1a65b05396d2bb2ce38e435f64f26ed2369f68675d9"}, + {file = "fonttools-4.47.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c01f409be619a9a0f5590389e37ccb58b47264939f0e8d58bfa1f3ba07d22671"}, + {file = "fonttools-4.47.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d986b66ff722ef675b7ee22fbe5947a41f60a61a4da15579d5e276d897fbc7fa"}, + {file = "fonttools-4.47.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8acf6dd0434b211b3bd30d572d9e019831aae17a54016629fa8224783b22df8"}, + {file = "fonttools-4.47.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:495369c660e0c27233e3c572269cbe520f7f4978be675f990f4005937337d391"}, + {file = "fonttools-4.47.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c59227d7ba5b232281c26ae04fac2c73a79ad0e236bca5c44aae904a18f14faf"}, + {file = "fonttools-4.47.0-cp310-cp310-win32.whl", hash = "sha256:59a6c8b71a245800e923cb684a2dc0eac19c56493e2f896218fcf2571ed28984"}, + {file = "fonttools-4.47.0-cp310-cp310-win_amd64.whl", hash = "sha256:52c82df66201f3a90db438d9d7b337c7c98139de598d0728fb99dab9fd0495ca"}, + {file = "fonttools-4.47.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:854421e328d47d70aa5abceacbe8eef231961b162c71cbe7ff3f47e235e2e5c5"}, + {file = "fonttools-4.47.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:511482df31cfea9f697930f61520f6541185fa5eeba2fa760fe72e8eee5af88b"}, + {file = "fonttools-4.47.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0e2c88c8c985b7b9a7efcd06511fb0a1fe3ddd9a6cd2895ef1dbf9059719d7"}, + {file = "fonttools-4.47.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7a0a8848726956e9d9fb18c977a279013daadf0cbb6725d2015a6dd57527992"}, + {file = "fonttools-4.47.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e869da810ae35afb3019baa0d0306cdbab4760a54909c89ad8904fa629991812"}, + {file = "fonttools-4.47.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:dd23848f877c3754f53a4903fb7a593ed100924f9b4bff7d5a4e2e8a7001ae11"}, + {file = "fonttools-4.47.0-cp311-cp311-win32.whl", hash = "sha256:bf1810635c00f7c45d93085611c995fc130009cec5abdc35b327156aa191f982"}, + {file = "fonttools-4.47.0-cp311-cp311-win_amd64.whl", hash = "sha256:61df4dee5d38ab65b26da8efd62d859a1eef7a34dcbc331299a28e24d04c59a7"}, + {file = "fonttools-4.47.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e3f4d61f3a8195eac784f1d0c16c0a3105382c1b9a74d99ac4ba421da39a8826"}, + {file = "fonttools-4.47.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:174995f7b057e799355b393e97f4f93ef1f2197cbfa945e988d49b2a09ecbce8"}, + {file = "fonttools-4.47.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea592e6a09b71cb7a7661dd93ac0b877a6228e2d677ebacbad0a4d118494c86d"}, + {file = "fonttools-4.47.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40bdbe90b33897d9cc4a39f8e415b0fcdeae4c40a99374b8a4982f127ff5c767"}, + {file = "fonttools-4.47.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:843509ae9b93db5aaf1a6302085e30bddc1111d31e11d724584818f5b698f500"}, + {file = "fonttools-4.47.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9acfa1cdc479e0dde528b61423855913d949a7f7fe09e276228298fef4589540"}, + {file = "fonttools-4.47.0-cp312-cp312-win32.whl", hash = "sha256:66c92ec7f95fd9732550ebedefcd190a8d81beaa97e89d523a0d17198a8bda4d"}, + {file = "fonttools-4.47.0-cp312-cp312-win_amd64.whl", hash = "sha256:e8fa20748de55d0021f83754b371432dca0439e02847962fc4c42a0e444c2d78"}, + {file = "fonttools-4.47.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c75e19971209fbbce891ebfd1b10c37320a5a28e8d438861c21d35305aedb81c"}, + {file = "fonttools-4.47.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e79f1a3970d25f692bbb8c8c2637e621a66c0d60c109ab48d4a160f50856deff"}, + {file = "fonttools-4.47.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:562681188c62c024fe2c611b32e08b8de2afa00c0c4e72bed47c47c318e16d5c"}, + {file = "fonttools-4.47.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a77a60315c33393b2bd29d538d1ef026060a63d3a49a9233b779261bad9c3f71"}, + {file = "fonttools-4.47.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b4fabb8cc9422efae1a925160083fdcbab8fdc96a8483441eb7457235df625bd"}, + {file = "fonttools-4.47.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2a78dba8c2a1e9d53a0fb5382979f024200dc86adc46a56cbb668a2249862fda"}, + {file = "fonttools-4.47.0-cp38-cp38-win32.whl", hash = "sha256:e6b968543fde4119231c12c2a953dcf83349590ca631ba8216a8edf9cd4d36a9"}, + {file = "fonttools-4.47.0-cp38-cp38-win_amd64.whl", hash = "sha256:4a9a51745c0439516d947480d4d884fa18bd1458e05b829e482b9269afa655bc"}, + {file = "fonttools-4.47.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:62d8ddb058b8e87018e5dc26f3258e2c30daad4c87262dfeb0e2617dd84750e6"}, + {file = "fonttools-4.47.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5dde0eab40faaa5476133123f6a622a1cc3ac9b7af45d65690870620323308b4"}, + {file = "fonttools-4.47.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4da089f6dfdb822293bde576916492cd708c37c2501c3651adde39804630538"}, + {file = "fonttools-4.47.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:253bb46bab970e8aae254cebf2ae3db98a4ef6bd034707aa68a239027d2b198d"}, + {file = "fonttools-4.47.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:1193fb090061efa2f9e2d8d743ae9850c77b66746a3b32792324cdce65784154"}, + {file = "fonttools-4.47.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:084511482dd265bce6dca24c509894062f0117e4e6869384d853f46c0e6d43be"}, + {file = "fonttools-4.47.0-cp39-cp39-win32.whl", hash = "sha256:97620c4af36e4c849e52661492e31dc36916df12571cb900d16960ab8e92a980"}, + {file = "fonttools-4.47.0-cp39-cp39-win_amd64.whl", hash = "sha256:e77bdf52185bdaf63d39f3e1ac3212e6cfa3ab07d509b94557a8902ce9c13c82"}, + {file = "fonttools-4.47.0-py3-none-any.whl", hash = "sha256:d6477ba902dd2d7adda7f0fd3bfaeb92885d45993c9e1928c9f28fc3961415f7"}, + {file = "fonttools-4.47.0.tar.gz", hash = "sha256:ec13a10715eef0e031858c1c23bfaee6cba02b97558e4a7bfa089dba4a8c2ebf"}, +] + +[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)"] +graphite = ["lz4 (>=1.7.4.2)"] +interpolatable = ["munkres", "pycairo", "scipy"] +lxml = ["lxml (>=4.0,<5)"] +pathops = ["skia-pathops (>=0.5.0)"] +plot = ["matplotlib"] +repacker = ["uharfbuzz (>=0.23.0)"] +symfont = ["sympy"] +type1 = ["xattr"] +ufo = ["fs (>=2.2.0,<3)"] +unicode = ["unicodedata2 (>=15.1.0)"] +woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] + [[package]] name = "fqdn" version = "1.5.1" @@ -1899,13 +2146,13 @@ files = [ [[package]] name = "fsspec" -version = "2023.10.0" +version = "2023.9.0" description = "File-system specification" optional = false python-versions = ">=3.8" files = [ - {file = "fsspec-2023.10.0-py3-none-any.whl", hash = "sha256:346a8f024efeb749d2a5fca7ba8854474b1ff9af7c3faaf636a4548781136529"}, - {file = "fsspec-2023.10.0.tar.gz", hash = "sha256:330c66757591df346ad3091a53bd907e15348c2ba17d63fd54f5c39c4457d2a5"}, + {file = "fsspec-2023.9.0-py3-none-any.whl", hash = "sha256:d55b9ab2a4c1f2b759888ae9f93e40c2aa72c0808132e87e282b549f9e6c4254"}, + {file = "fsspec-2023.9.0.tar.gz", hash = "sha256:4dbf0fefee035b7c6d3bbbe6bc99b2f201f40d4dca95b67c2b719be77bcd917f"}, ] [package.dependencies] @@ -2805,6 +3052,17 @@ zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""} docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff", "zipp (>=3.17)"] +[[package]] +name = "inflection" +version = "0.5.1" +description = "A port of Ruby on Rails inflector to Python" +optional = true +python-versions = ">=3.5" +files = [ + {file = "inflection-0.5.1-py2.py3-none-any.whl", hash = "sha256:f38b2b640938a4f35ade69ac3d053042959b62a0f1076a5bbaa1b9526605a8a2"}, + {file = "inflection-0.5.1.tar.gz", hash = "sha256:1a29730d366e996aaacffb2f1f1cb9593dc38e2ddd30c91250c6dde09ea9b417"}, +] + [[package]] name = "iniconfig" version = "2.0.0" @@ -3052,6 +3310,7 @@ files = [ {file = "jq-1.6.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:227b178b22a7f91ae88525810441791b1ca1fc71c86f03190911793be15cec3d"}, {file = "jq-1.6.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:780eb6383fbae12afa819ef676fc93e1548ae4b076c004a393af26a04b460742"}, {file = "jq-1.6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:08ded6467f4ef89fec35b2bf310f210f8cd13fbd9d80e521500889edf8d22441"}, + {file = "jq-1.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:49e44ed677713f4115bd5bf2dbae23baa4cd503be350e12a1c1f506b0687848f"}, {file = "jq-1.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:984f33862af285ad3e41e23179ac4795f1701822473e1a26bf87ff023e5a89ea"}, {file = "jq-1.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f42264fafc6166efb5611b5d4cb01058887d050a6c19334f6a3f8a13bb369df5"}, {file = "jq-1.6.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a67154f150aaf76cc1294032ed588436eb002097dd4fd1e283824bf753a05080"}, @@ -3447,6 +3706,119 @@ files = [ {file = "jupyterlab_widgets-3.0.9.tar.gz", hash = "sha256:6005a4e974c7beee84060fdfba341a3218495046de8ae3ec64888e5fe19fdb4c"}, ] +[[package]] +name = "kiwisolver" +version = "1.4.5" +description = "A fast implementation of the Cassowary constraint solver" +optional = true +python-versions = ">=3.7" +files = [ + {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af"}, + {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3"}, + {file = "kiwisolver-1.4.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ef7afcd2d281494c0a9101d5c571970708ad911d028137cd558f02b851c08b4"}, + {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9eaa8b117dc8337728e834b9c6e2611f10c79e38f65157c4c38e9400286f5cb1"}, + {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ec20916e7b4cbfb1f12380e46486ec4bcbaa91a9c448b97023fde0d5bbf9e4ff"}, + {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39b42c68602539407884cf70d6a480a469b93b81b7701378ba5e2328660c847a"}, + {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aa12042de0171fad672b6c59df69106d20d5596e4f87b5e8f76df757a7c399aa"}, + {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2a40773c71d7ccdd3798f6489aaac9eee213d566850a9533f8d26332d626b82c"}, + {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:19df6e621f6d8b4b9c4d45f40a66839294ff2bb235e64d2178f7522d9170ac5b"}, + {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:83d78376d0d4fd884e2c114d0621624b73d2aba4e2788182d286309ebdeed770"}, + {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e391b1f0a8a5a10ab3b9bb6afcfd74f2175f24f8975fb87ecae700d1503cdee0"}, + {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:852542f9481f4a62dbb5dd99e8ab7aedfeb8fb6342349a181d4036877410f525"}, + {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:59edc41b24031bc25108e210c0def6f6c2191210492a972d585a06ff246bb79b"}, + {file = "kiwisolver-1.4.5-cp310-cp310-win32.whl", hash = "sha256:a6aa6315319a052b4ee378aa171959c898a6183f15c1e541821c5c59beaa0238"}, + {file = "kiwisolver-1.4.5-cp310-cp310-win_amd64.whl", hash = "sha256:d0ef46024e6a3d79c01ff13801cb19d0cad7fd859b15037aec74315540acc276"}, + {file = "kiwisolver-1.4.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:11863aa14a51fd6ec28688d76f1735f8f69ab1fabf388851a595d0721af042f5"}, + {file = "kiwisolver-1.4.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8ab3919a9997ab7ef2fbbed0cc99bb28d3c13e6d4b1ad36e97e482558a91be90"}, + {file = "kiwisolver-1.4.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fcc700eadbbccbf6bc1bcb9dbe0786b4b1cb91ca0dcda336eef5c2beed37b797"}, + {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dfdd7c0b105af050eb3d64997809dc21da247cf44e63dc73ff0fd20b96be55a9"}, + {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76c6a5964640638cdeaa0c359382e5703e9293030fe730018ca06bc2010c4437"}, + {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bbea0db94288e29afcc4c28afbf3a7ccaf2d7e027489c449cf7e8f83c6346eb9"}, + {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ceec1a6bc6cab1d6ff5d06592a91a692f90ec7505d6463a88a52cc0eb58545da"}, + {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:040c1aebeda72197ef477a906782b5ab0d387642e93bda547336b8957c61022e"}, + {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f91de7223d4c7b793867797bacd1ee53bfe7359bd70d27b7b58a04efbb9436c8"}, + {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:faae4860798c31530dd184046a900e652c95513796ef51a12bc086710c2eec4d"}, + {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:b0157420efcb803e71d1b28e2c287518b8808b7cf1ab8af36718fd0a2c453eb0"}, + {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:06f54715b7737c2fecdbf140d1afb11a33d59508a47bf11bb38ecf21dc9ab79f"}, + {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f"}, + {file = "kiwisolver-1.4.5-cp311-cp311-win32.whl", hash = "sha256:bb86433b1cfe686da83ce32a9d3a8dd308e85c76b60896d58f082136f10bffac"}, + {file = "kiwisolver-1.4.5-cp311-cp311-win_amd64.whl", hash = "sha256:6c08e1312a9cf1074d17b17728d3dfce2a5125b2d791527f33ffbe805200a355"}, + {file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:32d5cf40c4f7c7b3ca500f8985eb3fb3a7dfc023215e876f207956b5ea26632a"}, + {file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f846c260f483d1fd217fe5ed7c173fb109efa6b1fc8381c8b7552c5781756192"}, + {file = "kiwisolver-1.4.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5ff5cf3571589b6d13bfbfd6bcd7a3f659e42f96b5fd1c4830c4cf21d4f5ef45"}, + {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7269d9e5f1084a653d575c7ec012ff57f0c042258bf5db0954bf551c158466e7"}, + {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da802a19d6e15dffe4b0c24b38b3af68e6c1a68e6e1d8f30148c83864f3881db"}, + {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3aba7311af82e335dd1e36ffff68aaca609ca6290c2cb6d821a39aa075d8e3ff"}, + {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:763773d53f07244148ccac5b084da5adb90bfaee39c197554f01b286cf869228"}, + {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2270953c0d8cdab5d422bee7d2007f043473f9d2999631c86a223c9db56cbd16"}, + {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d099e745a512f7e3bbe7249ca835f4d357c586d78d79ae8f1dcd4d8adeb9bda9"}, + {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:74db36e14a7d1ce0986fa104f7d5637aea5c82ca6326ed0ec5694280942d1162"}, + {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:7e5bab140c309cb3a6ce373a9e71eb7e4873c70c2dda01df6820474f9889d6d4"}, + {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:0f114aa76dc1b8f636d077979c0ac22e7cd8f3493abbab152f20eb8d3cda71f3"}, + {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:88a2df29d4724b9237fc0c6eaf2a1adae0cdc0b3e9f4d8e7dc54b16812d2d81a"}, + {file = "kiwisolver-1.4.5-cp312-cp312-win32.whl", hash = "sha256:72d40b33e834371fd330fb1472ca19d9b8327acb79a5821d4008391db8e29f20"}, + {file = "kiwisolver-1.4.5-cp312-cp312-win_amd64.whl", hash = "sha256:2c5674c4e74d939b9d91dda0fae10597ac7521768fec9e399c70a1f27e2ea2d9"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3a2b053a0ab7a3960c98725cfb0bf5b48ba82f64ec95fe06f1d06c99b552e130"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cd32d6c13807e5c66a7cbb79f90b553642f296ae4518a60d8d76243b0ad2898"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:59ec7b7c7e1a61061850d53aaf8e93db63dce0c936db1fda2658b70e4a1be709"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:da4cfb373035def307905d05041c1d06d8936452fe89d464743ae7fb8371078b"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2400873bccc260b6ae184b2b8a4fec0e4082d30648eadb7c3d9a13405d861e89"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:1b04139c4236a0f3aff534479b58f6f849a8b351e1314826c2d230849ed48985"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:4e66e81a5779b65ac21764c295087de82235597a2293d18d943f8e9e32746265"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:7931d8f1f67c4be9ba1dd9c451fb0eeca1a25b89e4d3f89e828fe12a519b782a"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:b3f7e75f3015df442238cca659f8baa5f42ce2a8582727981cbfa15fee0ee205"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:bbf1d63eef84b2e8c89011b7f2235b1e0bf7dacc11cac9431fc6468e99ac77fb"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:4c380469bd3f970ef677bf2bcba2b6b0b4d5c75e7a020fb863ef75084efad66f"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-win32.whl", hash = "sha256:9408acf3270c4b6baad483865191e3e582b638b1654a007c62e3efe96f09a9a3"}, + {file = "kiwisolver-1.4.5-cp37-cp37m-win_amd64.whl", hash = "sha256:5b94529f9b2591b7af5f3e0e730a4e0a41ea174af35a4fd067775f9bdfeee01a"}, + {file = "kiwisolver-1.4.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:11c7de8f692fc99816e8ac50d1d1aef4f75126eefc33ac79aac02c099fd3db71"}, + {file = "kiwisolver-1.4.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:53abb58632235cd154176ced1ae8f0d29a6657aa1aa9decf50b899b755bc2b93"}, + {file = "kiwisolver-1.4.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:88b9f257ca61b838b6f8094a62418421f87ac2a1069f7e896c36a7d86b5d4c29"}, + {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3195782b26fc03aa9c6913d5bad5aeb864bdc372924c093b0f1cebad603dd712"}, + {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fc579bf0f502e54926519451b920e875f433aceb4624a3646b3252b5caa9e0b6"}, + {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a580c91d686376f0f7c295357595c5a026e6cbc3d77b7c36e290201e7c11ecb"}, + {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:cfe6ab8da05c01ba6fbea630377b5da2cd9bcbc6338510116b01c1bc939a2c18"}, + {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d2e5a98f0ec99beb3c10e13b387f8db39106d53993f498b295f0c914328b1333"}, + {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:a51a263952b1429e429ff236d2f5a21c5125437861baeed77f5e1cc2d2c7c6da"}, + {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3edd2fa14e68c9be82c5b16689e8d63d89fe927e56debd6e1dbce7a26a17f81b"}, + {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:74d1b44c6cfc897df648cc9fdaa09bc3e7679926e6f96df05775d4fb3946571c"}, + {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:76d9289ed3f7501012e05abb8358bbb129149dbd173f1f57a1bf1c22d19ab7cc"}, + {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:92dea1ffe3714fa8eb6a314d2b3c773208d865a0e0d35e713ec54eea08a66250"}, + {file = "kiwisolver-1.4.5-cp38-cp38-win32.whl", hash = "sha256:5c90ae8c8d32e472be041e76f9d2f2dbff4d0b0be8bd4041770eddb18cf49a4e"}, + {file = "kiwisolver-1.4.5-cp38-cp38-win_amd64.whl", hash = "sha256:c7940c1dc63eb37a67721b10d703247552416f719c4188c54e04334321351ced"}, + {file = "kiwisolver-1.4.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:9407b6a5f0d675e8a827ad8742e1d6b49d9c1a1da5d952a67d50ef5f4170b18d"}, + {file = "kiwisolver-1.4.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:15568384086b6df3c65353820a4473575dbad192e35010f622c6ce3eebd57af9"}, + {file = "kiwisolver-1.4.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0dc9db8e79f0036e8173c466d21ef18e1befc02de8bf8aa8dc0813a6dc8a7046"}, + {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:cdc8a402aaee9a798b50d8b827d7ecf75edc5fb35ea0f91f213ff927c15f4ff0"}, + {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6c3bd3cde54cafb87d74d8db50b909705c62b17c2099b8f2e25b461882e544ff"}, + {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:955e8513d07a283056b1396e9a57ceddbd272d9252c14f154d450d227606eb54"}, + {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:346f5343b9e3f00b8db8ba359350eb124b98c99efd0b408728ac6ebf38173958"}, + {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b9098e0049e88c6a24ff64545cdfc50807818ba6c1b739cae221bbbcbc58aad3"}, + {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:00bd361b903dc4bbf4eb165f24d1acbee754fce22ded24c3d56eec268658a5cf"}, + {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7b8b454bac16428b22560d0a1cf0a09875339cab69df61d7805bf48919415901"}, + {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f1d072c2eb0ad60d4c183f3fb44ac6f73fb7a8f16a2694a91f988275cbf352f9"}, + {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:31a82d498054cac9f6d0b53d02bb85811185bcb477d4b60144f915f3b3126342"}, + {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6512cb89e334e4700febbffaaa52761b65b4f5a3cf33f960213d5656cea36a77"}, + {file = "kiwisolver-1.4.5-cp39-cp39-win32.whl", hash = "sha256:9db8ea4c388fdb0f780fe91346fd438657ea602d58348753d9fb265ce1bca67f"}, + {file = "kiwisolver-1.4.5-cp39-cp39-win_amd64.whl", hash = "sha256:59415f46a37f7f2efeec758353dd2eae1b07640d8ca0f0c42548ec4125492635"}, + {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5c7b3b3a728dc6faf3fc372ef24f21d1e3cee2ac3e9596691d746e5a536de920"}, + {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:620ced262a86244e2be10a676b646f29c34537d0d9cc8eb26c08f53d98013390"}, + {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:378a214a1e3bbf5ac4a8708304318b4f890da88c9e6a07699c4ae7174c09a68d"}, + {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaf7be1207676ac608a50cd08f102f6742dbfc70e8d60c4db1c6897f62f71523"}, + {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ba55dce0a9b8ff59495ddd050a0225d58bd0983d09f87cfe2b6aec4f2c1234e4"}, + {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:fd32ea360bcbb92d28933fc05ed09bffcb1704ba3fc7942e81db0fd4f81a7892"}, + {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:5e7139af55d1688f8b960ee9ad5adafc4ac17c1c473fe07133ac092310d76544"}, + {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dced8146011d2bc2e883f9bd68618b8247387f4bbec46d7392b3c3b032640126"}, + {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9bf3325c47b11b2e51bca0824ea217c7cd84491d8ac4eefd1e409705ef092bd"}, + {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5794cf59533bc3f1b1c821f7206a3617999db9fbefc345360aafe2e067514929"}, + {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e368f200bbc2e4f905b8e71eb38b3c04333bddaa6a2464a6355487b02bb7fb09"}, + {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5d706eba36b4c4d5bc6c6377bb6568098765e990cfc21ee16d13963fab7b3e7"}, + {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85267bd1aa8880a9c88a8cb71e18d3d64d2751a790e6ca6c27b8ccc724bcd5ad"}, + {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:210ef2c3a1f03272649aff1ef992df2e724748918c4bc2d5a90352849eb40bea"}, + {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:11d011a7574eb3b82bcc9c1a1d35c1d7075677fdd15de527d91b46bd35e935ee"}, + {file = "kiwisolver-1.4.5.tar.gz", hash = "sha256:e57e563a57fb22a142da34f38acc2fc1a5c864bc29ca1517a88abc963e60d6ec"}, +] + [[package]] name = "langchain-core" version = "0.1.1" @@ -3612,6 +3984,24 @@ html5 = ["html5lib"] htmlsoup = ["BeautifulSoup4"] source = ["Cython (>=0.29.35)"] +[[package]] +name = "markdown" +version = "3.5.1" +description = "Python implementation of John Gruber's Markdown." +optional = true +python-versions = ">=3.8" +files = [ + {file = "Markdown-3.5.1-py3-none-any.whl", hash = "sha256:5874b47d4ee3f0b14d764324d2c94c03ea66bee56f2d929da9f2508d65e722dc"}, + {file = "Markdown-3.5.1.tar.gz", hash = "sha256:b65d7beb248dc22f2e8a31fb706d93798093c308dc1aba295aedeb9d41a813bd"}, +] + +[package.dependencies] +importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""} + +[package.extras] +docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"] +testing = ["coverage", "pyyaml"] + [[package]] name = "markdown-it-py" version = "3.0.0" @@ -3678,16 +4068,6 @@ files = [ {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"}, {file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"}, {file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"}, {file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"}, {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"}, {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"}, @@ -3740,6 +4120,74 @@ docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "s lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"] tests = ["pytest", "pytz", "simplejson"] +[[package]] +name = "matplotlib" +version = "3.7.4" +description = "Python plotting package" +optional = true +python-versions = ">=3.8" +files = [ + {file = "matplotlib-3.7.4-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:b71079239bd866bf56df023e5146de159cb0c7294e508830901f4d79e2d89385"}, + {file = "matplotlib-3.7.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:bf91a42f6274a64cb41189120b620c02e574535ff6671fa836cade7701b06fbd"}, + {file = "matplotlib-3.7.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f757e8b42841d6add0cb69b42497667f0d25a404dcd50bd923ec9904e38414c4"}, + {file = "matplotlib-3.7.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4dfee00aa4bd291e08bb9461831c26ce0da85ca9781bb8794f2025c6e925281"}, + {file = "matplotlib-3.7.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3640f33632beb3993b698b1be9d1c262b742761d6101f3c27b87b2185d25c875"}, + {file = "matplotlib-3.7.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff539c4a17ecdf076ed808ee271ffae4a30dcb7e157b99ccae2c837262c07db6"}, + {file = "matplotlib-3.7.4-cp310-cp310-win32.whl", hash = "sha256:24b8f28af3e766195c09b780b15aa9f6710192b415ae7866b9c03dee7ec86370"}, + {file = "matplotlib-3.7.4-cp310-cp310-win_amd64.whl", hash = "sha256:3fa193286712c3b6c3cfa5fe8a6bb563f8c52cc750006c782296e0807ce5e799"}, + {file = "matplotlib-3.7.4-cp311-cp311-macosx_10_12_universal2.whl", hash = "sha256:b167f54cb4654b210c9624ec7b54e2b3b8de68c93a14668937e7e53df60770ec"}, + {file = "matplotlib-3.7.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:7dfe6821f1944cb35603ff22e21510941bbcce7ccf96095beffaac890d39ce77"}, + {file = "matplotlib-3.7.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3c557d9165320dff3c5f2bb99bfa0b6813d3e626423ff71c40d6bc23b83c3339"}, + {file = "matplotlib-3.7.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08372696b3bb45c563472a552a705bfa0942f0a8ffe084db8a4e8f9153fbdf9d"}, + {file = "matplotlib-3.7.4-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:81e1a7ac818000e8ac3ca696c3fdc501bc2d3adc89005e7b4e22ee5e9d51de98"}, + {file = "matplotlib-3.7.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:390920a3949906bc4b0216198d378f2a640c36c622e3584dd0c79a7c59ae9f50"}, + {file = "matplotlib-3.7.4-cp311-cp311-win32.whl", hash = "sha256:62e094d8da26294634da9e7f1856beee3978752b1b530c8e1763d2faed60cc10"}, + {file = "matplotlib-3.7.4-cp311-cp311-win_amd64.whl", hash = "sha256:f8fc2df756105784e650605e024d36dc2d048d68e5c1b26df97ee25d1bd41f9f"}, + {file = "matplotlib-3.7.4-cp312-cp312-macosx_10_12_universal2.whl", hash = "sha256:568574756127791903604e315c11aef9f255151e4cfe20ec603a70f9dda8e259"}, + {file = "matplotlib-3.7.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:7d479aac338195e2199a8cfc03c4f2f55914e6a120177edae79e0340a6406457"}, + {file = "matplotlib-3.7.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:32183d4be84189a4c52b4b8861434d427d9118db2cec32986f98ed6c02dcfbb6"}, + {file = "matplotlib-3.7.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0037d066cca1f4bda626c507cddeb6f7da8283bc6a214da2db13ff2162933c52"}, + {file = "matplotlib-3.7.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44856632ebce88abd8efdc0a0dceec600418dcac06b72ae77af0019d260aa243"}, + {file = "matplotlib-3.7.4-cp312-cp312-win_amd64.whl", hash = "sha256:632fc938c22117d4241411191cfb88ac264a4c0a9ac702244641ddf30f0d739c"}, + {file = "matplotlib-3.7.4-cp38-cp38-macosx_10_12_universal2.whl", hash = "sha256:ce163be048613b9d1962273708cc97e09ca05d37312e670d166cf332b80bbaff"}, + {file = "matplotlib-3.7.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:e680f49bb8052ba3b2698e370155d2b4afb49f9af1cc611a26579d5981e2852a"}, + {file = "matplotlib-3.7.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0604880e4327114054199108b7390f987f4f40ee5ce728985836889e11a780ba"}, + {file = "matplotlib-3.7.4-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:1e6abcde6fc52475f9d6a12b9f1792aee171ce7818ef6df5d61cb0b82816e6e8"}, + {file = "matplotlib-3.7.4-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f59a70e2ec3212033ef6633ed07682da03f5249379722512a3a2a26a7d9a738e"}, + {file = "matplotlib-3.7.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a9981b2a2dd9da06eca4ab5855d09b54b8ce7377c3e0e3957767b83219d652d"}, + {file = "matplotlib-3.7.4-cp38-cp38-win32.whl", hash = "sha256:83859ac26839660ecd164ee8311272074250b915ac300f9b2eccc84410f8953b"}, + {file = "matplotlib-3.7.4-cp38-cp38-win_amd64.whl", hash = "sha256:7a7709796ac59fe8debde68272388be6ed449c8971362eb5b60d280eac8dadde"}, + {file = "matplotlib-3.7.4-cp39-cp39-macosx_10_12_universal2.whl", hash = "sha256:b1d70bc1ea1bf110bec64f4578de3e14947909a8887df4c1fd44492eca487955"}, + {file = "matplotlib-3.7.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c83f49e795a5de6c168876eea723f5b88355202f9603c55977f5356213aa8280"}, + {file = "matplotlib-3.7.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5c9133f230945fe10652eb33e43642e933896194ef6a4f8d5e79bb722bdb2000"}, + {file = "matplotlib-3.7.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:798ff59022eeb276380ce9a73ba35d13c3d1499ab9b73d194fd07f1b0a41c304"}, + {file = "matplotlib-3.7.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1707b20b25e90538c2ce8d4409e30f0ef1df4017cc65ad0439633492a973635b"}, + {file = "matplotlib-3.7.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e6227ca8492baeef873cdd8e169a318efb5c3a25ce94e69727e7f964995b0b1"}, + {file = "matplotlib-3.7.4-cp39-cp39-win32.whl", hash = "sha256:5661c8639aded7d1bbf781373a359011cb1dd09199dee49043e9e68dd16f07ba"}, + {file = "matplotlib-3.7.4-cp39-cp39-win_amd64.whl", hash = "sha256:55eec941a4743f0bd3e5b8ee180e36b7ea8e62f867bf2613937c9f01b9ac06a2"}, + {file = "matplotlib-3.7.4-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ab16868714e5cc90ec8f7ff5d83d23bcd6559224d8e9cb5227c9f58748889fe8"}, + {file = "matplotlib-3.7.4-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0c698b33f9a3f0b127a8e614c8fb4087563bb3caa9c9d95298722fa2400cdd3f"}, + {file = "matplotlib-3.7.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:be3493bbcb4d255cb71de1f9050ac71682fce21a56089eadbcc8e21784cb12ee"}, + {file = "matplotlib-3.7.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:f8c725d1dd2901b2e7ec6cd64165e00da2978cc23d4143cb9ef745bec88e6b04"}, + {file = "matplotlib-3.7.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:286332f8f45f8ffde2d2119b9fdd42153dccd5025fa9f451b4a3b5c086e26da5"}, + {file = "matplotlib-3.7.4-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:116ef0b43aa00ff69260b4cce39c571e4b8c6f893795b708303fa27d9b9d7548"}, + {file = "matplotlib-3.7.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c90590d4b46458677d80bc3218f3f1ac11fc122baa9134e0cb5b3e8fc3714052"}, + {file = "matplotlib-3.7.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:de7c07069687be64fd9d119da3122ba13a8d399eccd3f844815f0dc78a870b2c"}, + {file = "matplotlib-3.7.4.tar.gz", hash = "sha256:7cd4fef8187d1dd0d9dcfdbaa06ac326d396fb8c71c647129f0bf56835d77026"}, +] + +[package.dependencies] +contourpy = ">=1.0.1" +cycler = ">=0.10" +fonttools = ">=4.22.0" +importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""} +kiwisolver = ">=1.0.1" +numpy = ">=1.20,<2" +packaging = ">=20.0" +pillow = ">=6.2.0" +pyparsing = ">=2.3.1" +python-dateutil = ">=2.7" + [[package]] name = "matplotlib-inline" version = "0.1.6" @@ -4416,6 +4864,41 @@ rsa = ["cryptography (>=3.0.0)"] signals = ["blinker (>=1.4.0)"] signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] +[[package]] +name = "oci" +version = "2.118.0" +description = "Oracle Cloud Infrastructure Python SDK" +optional = true +python-versions = "*" +files = [ + {file = "oci-2.118.0-py3-none-any.whl", hash = "sha256:766170a9b4c93053ba3fe5ae63c0ab48fdd71b4d17709742a2b45249f0829872"}, + {file = "oci-2.118.0.tar.gz", hash = "sha256:1004726c4dad6c02f967b7bc4e733ff552451a2914cb542c380756c7d46bb938"}, +] + +[package.dependencies] +certifi = "*" +circuitbreaker = ">=1.3.1,<2.0.0" +cryptography = ">=3.2.1,<42.0.0" +pyOpenSSL = ">=17.5.0,<24.0.0" +python-dateutil = ">=2.5.3,<3.0.0" +pytz = ">=2016.10" + +[[package]] +name = "ocifs" +version = "1.3.1" +description = "Convenient filesystem interface over Oracle Cloud's Object Storage" +optional = true +python-versions = ">=3.6" +files = [ + {file = "ocifs-1.3.1-py3-none-any.whl", hash = "sha256:55a96bfd4421f6bebadd11821a934bd5325d8fb51dc71ed56fd164b382c0af4c"}, + {file = "ocifs-1.3.1.tar.gz", hash = "sha256:a4e25ee1df75ec94d74cdb3b54f1629fc32d3cd0fb6c15fc89296550a9fc45f8"}, +] + +[package.dependencies] +fsspec = ">=0.8.7" +oci = ">=2.43.1" +requests = "*" + [[package]] name = "onnxruntime" version = "1.16.3" @@ -4520,6 +5003,56 @@ numpy = [ {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""}, ] +[[package]] +name = "oracle-ads" +version = "2.9.1" +description = "Oracle Accelerated Data Science SDK" +optional = true +python-versions = ">=3.8" +files = [ + {file = "oracle_ads-2.9.1-py3-none-any.whl", hash = "sha256:c7792d92af979138f44238fde509bd45d2f608d687ad84b64628efbde9bfc78d"}, + {file = "oracle_ads-2.9.1.tar.gz", hash = "sha256:5f7d109a0bc7eadc7117e681647356e10c52440944378b827c446e93de69dab9"}, +] + +[package.dependencies] +asteval = ">=0.9.25" +cerberus = ">=1.3.4" +cloudpickle = ">=1.6.0" +fsspec = ">=0.8.7,<2023.9.1" +gitpython = ">=3.1.2" +jinja2 = ">=2.11.2" +matplotlib = ">=3.1.3" +numpy = ">=1.19.2" +oci = ">=2.113.0" +ocifs = ">=1.1.3" +pandas = ">1.2.1,<2.1" +psutil = ">=5.7.2" +python_jsonschema_objects = ">=0.3.13" +PyYAML = ">=6" +requests = "*" +scikit-learn = ">=1.0" +tabulate = ">=0.8.9" +tqdm = ">=4.59.0" + +[package.extras] +bds = ["hdfs[kerberos]", "ibis-framework[impala]", "sqlalchemy"] +boosted = ["lightgbm (<4.0.0)", "xgboost"] +data = ["datefinder (>=0.7.1)", "fastavro (>=0.24.2)", "htmllistparse (>=0.6.0)", "openpyxl (>=3.0.7)", "oracledb (>=1.0)", "pandavro (>=1.6.0)", "sqlalchemy (>=1.4.1,<=1.4.46)"] +forecast = ["autots[additional]", "conda-pack", "datapane", "holidays (==0.21.13)", "inflection", "nbconvert", "nbformat", "neuralprophet", "numpy", "oci-cli", "oci-cli", "optuna (==2.9.0)", "oracle-ads", "oracle-automlx[forecasting] (==23.2.3)", "plotly", "pmdarima", "prophet", "py-cpuinfo", "rich", "shap", "sktime", "statsmodels"] +geo = ["geopandas", "oracle_ads[viz]"] +huggingface = ["transformers"] +llm = ["evaluate (>=0.4.0)", "langchain (>=0.0.295)"] +notebook = ["ipython (>=7.23.1,<8.0)", "ipywidgets (>=7.6.3,<7.7.0)"] +onnx = ["lightgbm (<4.0.0)", "onnx (>=1.12.0)", "onnxmltools (>=1.10.0)", "onnxruntime (>=1.10.0,<1.16)", "oracle_ads[viz]", "protobuf (<=3.20)", "skl2onnx (>=1.10.4)", "tf2onnx", "xgboost (<=1.7)"] +opctl = ["conda-pack", "docker", "inflection", "nbconvert", "nbformat", "oci-cli", "py-cpuinfo", "rich"] +optuna = ["optuna (==2.9.0)", "oracle_ads[viz]"] +pii = ["aiohttp", "datapane", "gender_guesser", "nameparser", "oracle_ads[opctl]", "plotly", "scrubadub (==2.0.1)", "scrubadub_spacy", "spacy (==3.6.1)", "spacy-transformers (==1.2.5)"] +spark = ["pyspark (>=3.0.0)"] +tensorflow = ["oracle_ads[viz]", "tensorflow"] +text = ["spacy", "wordcloud (>=1.8.1)"] +torch = ["oracle_ads[viz]", "torch", "torchvision"] +viz = ["bokeh (>=2.3.0,<=2.4.3)", "folium (>=0.12.1)", "graphviz (<0.17)", "scipy (>=1.5.4)", "seaborn (>=0.11.0)"] + [[package]] name = "orjson" version = "3.9.10" @@ -5557,7 +6090,6 @@ files = [ {file = "pymongo-4.6.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b8729dbf25eb32ad0dc0b9bd5e6a0d0b7e5c2dc8ec06ad171088e1896b522a74"}, {file = "pymongo-4.6.1-cp312-cp312-win32.whl", hash = "sha256:3177f783ae7e08aaf7b2802e0df4e4b13903520e8380915e6337cdc7a6ff01d8"}, {file = "pymongo-4.6.1-cp312-cp312-win_amd64.whl", hash = "sha256:00c199e1c593e2c8b033136d7a08f0c376452bac8a896c923fcd6f419e07bdd2"}, - {file = "pymongo-4.6.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6dcc95f4bb9ed793714b43f4f23a7b0c57e4ef47414162297d6f650213512c19"}, {file = "pymongo-4.6.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:13552ca505366df74e3e2f0a4f27c363928f3dff0eef9f281eb81af7f29bc3c5"}, {file = "pymongo-4.6.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:77e0df59b1a4994ad30c6d746992ae887f9756a43fc25dec2db515d94cf0222d"}, {file = "pymongo-4.6.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:3a7f02a58a0c2912734105e05dedbee4f7507e6f1bd132ebad520be0b11d46fd"}, @@ -5692,6 +6224,24 @@ files = [ {file = "PyMuPDFb-1.23.7-py3-none-win_amd64.whl", hash = "sha256:7552793efa6976574b8b7840fd0091773c410e6048bc7cbf4b2eb3ed92d0b7a5"}, ] +[[package]] +name = "pyopenssl" +version = "23.3.0" +description = "Python wrapper module around the OpenSSL library" +optional = true +python-versions = ">=3.7" +files = [ + {file = "pyOpenSSL-23.3.0-py3-none-any.whl", hash = "sha256:6756834481d9ed5470f4a9393455154bc92fe7a64b7bc6ee2c804e78c52099b2"}, + {file = "pyOpenSSL-23.3.0.tar.gz", hash = "sha256:6b2cba5cc46e822750ec3e5a81ee12819850b11303630d575e98108a079c2b12"}, +] + +[package.dependencies] +cryptography = ">=41.0.5,<42" + +[package.extras] +docs = ["sphinx (!=5.2.0,!=5.2.0.post0,!=7.2.5)", "sphinx-rtd-theme"] +test = ["flaky", "pretend", "pytest (>=3.0.1)"] + [[package]] name = "pyparsing" version = "3.1.1" @@ -5999,6 +6549,23 @@ files = [ {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"}, ] +[[package]] +name = "python-jsonschema-objects" +version = "0.5.1" +description = "An object wrapper for JSON Schema definitions" +optional = true +python-versions = ">=3.8" +files = [ + {file = "python_jsonschema_objects-0.5.1-py2.py3-none-any.whl", hash = "sha256:cc237b4db985ebc23d6d5104773311fe07cb2d1ce851223d61bafd3d767f265e"}, + {file = "python_jsonschema_objects-0.5.1.tar.gz", hash = "sha256:7333d3b3eca6dc9c5cb1901dadeaffda8d78ba15aca5f4b89d3207142e155567"}, +] + +[package.dependencies] +inflection = ">=0.2" +jsonschema = ">=4.18" +Markdown = ">=2.4" +six = ">=1.5.2" + [[package]] name = "pytz" version = "2023.3.post1" @@ -6060,7 +6627,6 @@ 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"}, @@ -6068,15 +6634,8 @@ 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_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"}, @@ -6093,7 +6652,6 @@ 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"}, @@ -6101,7 +6659,6 @@ 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"}, @@ -7073,9 +7630,7 @@ python-versions = ">=3.7" files = [ {file = "SQLAlchemy-2.0.23-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:638c2c0b6b4661a4fd264f6fb804eccd392745c5887f9317feb64bb7cb03b3ea"}, {file = "SQLAlchemy-2.0.23-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e3b5036aa326dc2df50cba3c958e29b291a80f604b1afa4c8ce73e78e1c9f01d"}, - {file = "SQLAlchemy-2.0.23-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:787af80107fb691934a01889ca8f82a44adedbf5ef3d6ad7d0f0b9ac557e0c34"}, {file = "SQLAlchemy-2.0.23-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c14eba45983d2f48f7546bb32b47937ee2cafae353646295f0e99f35b14286ab"}, - {file = "SQLAlchemy-2.0.23-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0666031df46b9badba9bed00092a1ffa3aa063a5e68fa244acd9f08070e936d3"}, {file = "SQLAlchemy-2.0.23-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:89a01238fcb9a8af118eaad3ffcc5dedaacbd429dc6fdc43fe430d3a941ff965"}, {file = "SQLAlchemy-2.0.23-cp310-cp310-win32.whl", hash = "sha256:cabafc7837b6cec61c0e1e5c6d14ef250b675fa9c3060ed8a7e38653bd732ff8"}, {file = "SQLAlchemy-2.0.23-cp310-cp310-win_amd64.whl", hash = "sha256:87a3d6b53c39cd173990de2f5f4b83431d534a74f0e2f88bd16eabb5667e65c6"}, @@ -7112,9 +7667,7 @@ files = [ {file = "SQLAlchemy-2.0.23-cp38-cp38-win_amd64.whl", hash = "sha256:964971b52daab357d2c0875825e36584d58f536e920f2968df8d581054eada4b"}, {file = "SQLAlchemy-2.0.23-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:616fe7bcff0a05098f64b4478b78ec2dfa03225c23734d83d6c169eb41a93e55"}, {file = "SQLAlchemy-2.0.23-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0e680527245895aba86afbd5bef6c316831c02aa988d1aad83c47ffe92655e74"}, - {file = "SQLAlchemy-2.0.23-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9585b646ffb048c0250acc7dad92536591ffe35dba624bb8fd9b471e25212a35"}, {file = "SQLAlchemy-2.0.23-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4895a63e2c271ffc7a81ea424b94060f7b3b03b4ea0cd58ab5bb676ed02f4221"}, - {file = "SQLAlchemy-2.0.23-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:cc1d21576f958c42d9aec68eba5c1a7d715e5fc07825a629015fe8e3b0657fb0"}, {file = "SQLAlchemy-2.0.23-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:967c0b71156f793e6662dd839da54f884631755275ed71f1539c95bbada9aaab"}, {file = "SQLAlchemy-2.0.23-cp39-cp39-win32.whl", hash = "sha256:0a8c6aa506893e25a04233bc721c6b6cf844bafd7250535abb56cb6cc1368884"}, {file = "SQLAlchemy-2.0.23-cp39-cp39-win_amd64.whl", hash = "sha256:f3420d00d2cb42432c1d0e44540ae83185ccbbc67a6054dcc8ab5387add6620b"}, @@ -8509,9 +9062,9 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [extras] cli = ["typer"] -extended-testing = ["aiosqlite", "aleph-alpha-client", "anthropic", "arxiv", "assemblyai", "atlassian-python-api", "beautifulsoup4", "bibtexparser", "cassio", "chardet", "cohere", "dashvector", "databricks-vectorsearch", "datasets", "dgml-utils", "esprima", "faiss-cpu", "feedparser", "fireworks-ai", "geopandas", "gitpython", "google-cloud-documentai", "gql", "gradientai", "hologres-vector", "html2text", "javelin-sdk", "jinja2", "jq", "jsonschema", "lxml", "markdownify", "motor", "msal", "mwparserfromhell", "mwxml", "newspaper3k", "numexpr", "openai", "openapi-pydantic", "pandas", "pdfminer-six", "pgvector", "praw", "psychicapi", "py-trello", "pymupdf", "pypdf", "pypdfium2", "pyspark", "rank-bm25", "rapidfuzz", "rapidocr-onnxruntime", "requests-toolbelt", "rspace_client", "scikit-learn", "sqlite-vss", "streamlit", "sympy", "telethon", "timescale-vector", "tqdm", "upstash-redis", "xata", "xmltodict"] +extended-testing = ["aiosqlite", "aleph-alpha-client", "anthropic", "arxiv", "assemblyai", "atlassian-python-api", "beautifulsoup4", "bibtexparser", "cassio", "chardet", "cohere", "dashvector", "databricks-vectorsearch", "datasets", "dgml-utils", "esprima", "faiss-cpu", "feedparser", "fireworks-ai", "geopandas", "gitpython", "google-cloud-documentai", "gql", "gradientai", "hologres-vector", "html2text", "javelin-sdk", "jinja2", "jq", "jsonschema", "lxml", "markdownify", "motor", "msal", "mwparserfromhell", "mwxml", "newspaper3k", "numexpr", "openai", "openapi-pydantic", "oracle-ads", "pandas", "pdfminer-six", "pgvector", "praw", "psychicapi", "py-trello", "pymupdf", "pypdf", "pypdfium2", "pyspark", "rank-bm25", "rapidfuzz", "rapidocr-onnxruntime", "requests-toolbelt", "rspace_client", "scikit-learn", "sqlite-vss", "streamlit", "sympy", "telethon", "timescale-vector", "tqdm", "upstash-redis", "xata", "xmltodict"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "ab4b1efe33110b575d2fb65bd5ecb90e92d1bd83dd5eac87080e4d07268df72f" +content-hash = "00b69a8316c2748362f1f135e229950230be0401e7c307c0ce27a8309f947816" diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml index e2709759b88d9..37496eb84f547 100644 --- a/libs/community/pyproject.toml +++ b/libs/community/pyproject.toml @@ -84,6 +84,7 @@ msal = {version = "^1.25.0", optional = true} databricks-vectorsearch = {version = "^0.21", optional = true} dgml-utils = {version = "^0.3.0", optional = true} datasets = {version = "^2.15.0", optional = true} +oracle-ads = {version = "^2.9.1", optional = true} [tool.poetry.group.test] optional = true @@ -243,6 +244,7 @@ extended_testing = [ "databricks-vectorsearch", "dgml-utils", "cohere", + "oracle-ads", ] [tool.ruff] diff --git a/libs/community/tests/unit_tests/llms/test_imports.py b/libs/community/tests/unit_tests/llms/test_imports.py index 01c8d1665baaa..7bb66ff341b8d 100644 --- a/libs/community/tests/unit_tests/llms/test_imports.py +++ b/libs/community/tests/unit_tests/llms/test_imports.py @@ -49,6 +49,8 @@ "Modal", "MosaicML", "Nebula", + "OCIModelDeploymentTGI", + "OCIModelDeploymentVLLM", "NIBittensorLLM", "NLPCloud", "Ollama", diff --git a/libs/community/tests/unit_tests/llms/test_oci_model_deployment_endpoint.py b/libs/community/tests/unit_tests/llms/test_oci_model_deployment_endpoint.py new file mode 100644 index 0000000000000..b818c599c1ed7 --- /dev/null +++ b/libs/community/tests/unit_tests/llms/test_oci_model_deployment_endpoint.py @@ -0,0 +1,46 @@ +"""Test OCI Data Science Model Deployment Endpoint.""" +import pytest +import responses +from pytest_mock import MockerFixture + +from langchain_community.llms import OCIModelDeploymentTGI, OCIModelDeploymentVLLM + + +@pytest.mark.requires("ads") +@responses.activate +def test_call_vllm(mocker: MockerFixture) -> None: + """Test valid call to oci model deployment endpoint.""" + endpoint = "https://MD_OCID/predict" + responses.add( + responses.POST, + endpoint, + json={ + "choices": [{"index": 0, "text": "This is a completion."}], + }, + status=200, + ) + mocker.patch("ads.common.auth.default_signer", return_value=dict(signer=None)) + + llm = OCIModelDeploymentVLLM(endpoint=endpoint, model="my_model") + output = llm.invoke("This is a prompt.") + assert isinstance(output, str) + + +@pytest.mark.requires("ads") +@responses.activate +def test_call_tgi(mocker: MockerFixture) -> None: + """Test valid call to oci model deployment endpoint.""" + endpoint = "https://MD_OCID/predict" + responses.add( + responses.POST, + endpoint, + json={ + "generated_text": "This is a completion.", + }, + status=200, + ) + mocker.patch("ads.common.auth.default_signer", return_value=dict(signer=None)) + + llm = OCIModelDeploymentTGI(endpoint=endpoint) + output = llm.invoke("This is a prompt.") + assert isinstance(output, str)