├── .env.example ├── .flake8 ├── .github └── workflows │ └── linting-and-testing.yml ├── .gitignore ├── LICENSE ├── README.md ├── agentx ├── __init__.py ├── agents │ ├── autogpt │ │ ├── __init__.py │ │ ├── autogpt_agent.py │ │ └── main.py │ └── babyagi │ │ ├── __init__.py │ │ ├── baby_agi.py │ │ ├── chains │ │ ├── __init__.py │ │ ├── task_creation_chain.py │ │ ├── task_execution_chain.py │ │ └── task_prioritization_chain.py │ │ ├── main.py │ │ └── utils.py ├── autogpt.py ├── baby_agi_with_tools.py └── memory │ ├── __init__.py │ └── faiss.py ├── helpers └── python-minifier.py ├── poetry.lock ├── pyproject.toml └── tests ├── __init__.py ├── agents ├── __init__.py ├── autogpt │ ├── __init__.py │ └── test_autogpt.py └── babyagi │ ├── __init__.py │ ├── chains │ ├── __init__.py │ ├── test_task_creation_chain.py │ ├── test_task_execution_chain.py │ └── test_task_prioritization_chain.py │ └── test_utils.py └── conftest.py /.env.example: -------------------------------------------------------------------------------- 1 | OPENAI_API_KEY= 2 | SERPAPI_API_KEY= -------------------------------------------------------------------------------- /.flake8: -------------------------------------------------------------------------------- 1 | [flake8] 2 | max-line-length = 100 3 | extend-ignore = E203, W503 4 | -------------------------------------------------------------------------------- /.github/workflows/linting-and-testing.yml: -------------------------------------------------------------------------------- 1 | on: 2 | push: 3 | branches: [main] 4 | pull_request: 5 | types: [opened, synchronize] 6 | 7 | name: linting and testing 8 | 9 | jobs: 10 | test: 11 | name: Automatic linting and testing 12 | runs-on: ubuntu-latest 13 | 14 | container: 15 | image: python:3.8.16-buster 16 | 17 | steps: 18 | - uses: actions/checkout@v2 19 | 20 | - name: Setup Poetry 1.4.2 21 | run: pip install poetry==1.4.2 22 | 23 | - name: Check pyproject.toml 24 | run: poetry check 25 | 26 | - name: Install python dependencies with Poetry 27 | run: poetry install 28 | 29 | - name: Check files with isort 30 | run: poetry run isort . --check 31 | 32 | - name: Check files with Black 33 | run: poetry run black . --check 34 | 35 | - name: Lint files with flake8 36 | run: poetry run flake8 37 | 38 | - name: Run tests 39 | run: poetry run pytest 40 | env: 41 | OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} 42 | SERPAPI_API_KEY: ${{ secrets.SERPAPI_API_KEY }} -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # intellij 2 | .idea/ 3 | 4 | # pyenv 5 | .python-version 6 | 7 | # env 8 | .env 9 | 10 | # venv (virtual env) 11 | *venv 12 | 13 | # pycache 14 | __pycache__ 15 | 16 | # pytest cache 17 | .pytest_cache 18 | 19 | # python-minifier 20 | .python-minifier 21 | 22 | # .egg-info 23 | *.egg-info 24 | 25 | # TODO 26 | TODO.md -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 Slava Kurilyak (slavakurilyak.eth) 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # AgentX 2 | 3 | AgentX is an experiment to develop an autonomous agent that delegates well to Auto-GPT, babyagi, and other agents using LangChain. It is a LangChain-powered agent that delegates tasks to other AI agents until user's objective is complete. It aims to assist users in completing objectives using agent retrieval, whereby objectives are outsources to other AI agents (Auto-GPT, babyagi, HuggingFace) in parallel. 4 | 5 | ## Requirements 6 | 7 | AgentX requires [Python 3.8](https://www.python.org/downloads/) and [Poetry](https://python-poetry.org/docs/#installation) for package management. 8 | 9 | ## Set Up 10 | 11 | Here's how to install AgentX: 12 | 13 | 1. Clone the repository: 14 | 15 | ```bash 16 | git clone git@github.com:slavakurilyak/agentx.git 17 | cd agentx 18 | ``` 19 | 2. Set up the project and activate the virtual environment via Poetry: 20 | 21 | ```bash 22 | poetry install 23 | source $(poetry env info --path)/bin/activate 24 | ``` 25 | 26 | 3. Copy `.env.example` to `.env`: 27 | 28 | ```bash 29 | cp .env.example .env 30 | ``` 31 | 32 | 4. Update your `OPENAI_API_KEY` and `SERPAPI_API_KEY` values inside newly created `.env` 33 | 34 | ## Usage 35 | 36 | To run the 'experimental version' of AgentX using Python, type: 37 | 38 | ```bash 39 | python agentx/agents/autogpt/main.py 40 | python agentx/agents/babyagi/main.py 41 | ``` 42 | 43 | -or- 44 | 45 | ```bash 46 | poetry run python agentx/agents/autogpt/main.py 47 | poetry run python agentx/agents/babyagi/main.py 48 | ``` 49 | 50 | To run the 'stable version' of AgentX using Python, type: 51 | 52 | ```bash 53 | python agentx/autogpt.py 54 | python agentx/baby_agi_with_tools.py 55 | ``` 56 | 57 | -or- 58 | 59 | ```bash 60 | poetry run python agentx/autogpt.py 61 | poetry run python agentx/baby_agi_with_tools.py 62 | 63 | ``` 64 | 65 | ### Contibuting 66 | 67 | We use `black`, `isort` and `flake8` to ensure good code quality. 68 | 69 | Always run the linters to check your code using: 70 | 71 | ```bash 72 | isort --check . 73 | black --check . 74 | flake8 75 | ``` 76 | 77 | -or- 78 | 79 | ```bash 80 | poetry run isort --check . 81 | poetry run black --check . 82 | poetry run flake8 83 | ``` 84 | 85 | To use `isort` and `black` for autoformatting, run the commands without the `--check` option using: 86 | 87 | ```bash 88 | isort . 89 | black . 90 | flake8 91 | ``` 92 | 93 | -or- 94 | 95 | ```bash 96 | poetry run isort . 97 | poetry run black . 98 | poetry run flake8 99 | ``` 100 | 101 | Run tests in the root directory either using: 102 | 103 | ```bash 104 | pytest 105 | ``` 106 | 107 | -or- 108 | 109 | ```bash 110 | poetry run pytest 111 | ``` 112 | 113 | ## How does AgentX work? 114 | 115 | 1. User requests assistance from AgentX. 116 | 2. AgentX retrieves necessary tools. 117 | 3. AgentX selects relevant tools. 118 | 4. Selected tools complete the task and their results are combined. 119 | 5. AgentX processes the combined results and presents the response to the user. 120 | 121 | This user-AgentX interaction can be visualized as: 122 | 123 | ```mermaid 124 | graph TB 125 | A[User] --> B[AgentX] 126 | B --> C[Find Relevant Agent] 127 | C --> D{Delegate Task to Agent} 128 | D --> E1[Auto-GPT] 129 | D --> E2[BabyAGI] 130 | D --> E3[HuggingFace] 131 | D --> E4[Other AI Agent] 132 | E1 --> F1[Complete Task with Auto-GPT] 133 | E2 --> F2[Complete Task with BabyAGI] 134 | E3 --> F3[Complete Task with HuggingFace] 135 | E4 --> F4[Complete Task with Other AI Agent] 136 | F1 --> G[Evaluate Task Completion] 137 | F2 --> G 138 | F3 --> G 139 | F4 --> G 140 | G --> H[AgentX] 141 | H --> I[User] 142 | ``` 143 | 144 | ## Benefits of using AgentX 145 | 146 | - Delegates tasks to multiple AI agents for efficient handling of complex tasks. 147 | - Can handle a wide range of tasks, from answering questions to creating to-do lists. 148 | - Can be customized to suit your specific needs. 149 | 150 | ## Limitations of AgentX 151 | 152 | At present, AgentX is limited in its ability to interact with Auto-GPT and babyagi directly due to the following reasons: 153 | 154 | - These models do not currently have APIs available for interaction. 155 | - They also lack JSON manifest files such as `.well-known/ai-plugin.json` and `.well-known/openai.yaml`, which are required by OpenAI. 156 | 157 | As a result of these limitations, AgentX can only interact with Auto-GPT and babyagi by directly cloning their source code using `$ git clone`. We will provide further information on these limitations shortly. 158 | 159 | ## Progress 160 | 161 | - [x] BabyAGI using LangChain 162 | - [x] Auto-GPT using LangChain 163 | - [ ] Auto-GPT from source (see [issue](https://github.com/slavakurilyak/agentx/issues/1)) 164 | - [ ] babyagi from source (see [issue](https://github.com/slavakurilyak/agentx/issues/2)) 165 | - [ ] Teenage-AGI from source (see [issue](https://github.com/slavakurilyak/agentx/issues/3)) 166 | 167 | Sure, here's the section about contributions are welcome: 168 | 169 | ## Get involved 170 | 171 | We appreciate your interest in AgentX! Here are some ways you can get involved: 172 | 173 | - If you like our project, please consider starring it on GitHub. 174 | - If you have an idea for a new feature or improvement, please open a new issue on GitHub. 175 | - If you see a bug or want to implement a feature, please open a new pull request on GitHub. 176 | - If you want to follow the founder on Twitter, visit [twitter.com/slavakurilyak](https://twitter.com/slavakurilyak). 177 | 178 | Thank you for your support! 179 | 180 | ## Star History 181 | 182 | [![Star History Chart](https://api.star-history.com/svg?repos=slavakurilyak/AgentX&type=Date)](https://star-history.com/#slavakurilyak/AgentX&Date) -------------------------------------------------------------------------------- /agentx/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/slavakurilyak/agentx/3cbfdf8afb8462bad17235eb0b0f07b6997fae22/agentx/__init__.py -------------------------------------------------------------------------------- /agentx/agents/autogpt/__init__.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/autogpt/__init__.py 2 | -------------------------------------------------------------------------------- /agentx/agents/autogpt/autogpt_agent.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/autogpt/autogpt_agent.py 2 | 3 | from langchain.chat_models import ChatOpenAI 4 | from langchain.experimental import AutoGPT 5 | 6 | 7 | class AutoGPTAgent: 8 | def __init__(self, tools, memory): 9 | self.agent = AutoGPT.from_llm_and_tools( 10 | ai_name="Tom", 11 | ai_role="Assistant", 12 | llm=ChatOpenAI(temperature=0), 13 | tools=tools, 14 | memory=memory, 15 | ) 16 | 17 | def run(self, prompts): 18 | self.agent.run(prompts) 19 | -------------------------------------------------------------------------------- /agentx/agents/autogpt/main.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/autogpt/main.py 2 | 3 | from langchain.agents import Tool 4 | from langchain.tools.file_management.read import ReadFileTool 5 | from langchain.tools.file_management.write import WriteFileTool 6 | from langchain.utilities import SerpAPIWrapper 7 | 8 | from agentx.agents.autogpt.autogpt_agent import AutoGPTAgent 9 | from agentx.memory.faiss import FAISSRetriever 10 | 11 | 12 | def run_autogpt(): 13 | suggested_objective = "Help me do math: 11 + seven" 14 | user_objective = input( 15 | f"What is your objective? (Press enter to use the suggested objective: " 16 | f"'{suggested_objective}') " 17 | ) 18 | 19 | if not user_objective: 20 | objective = suggested_objective 21 | else: 22 | objective = user_objective 23 | 24 | search = SerpAPIWrapper() 25 | tools = [ 26 | Tool( 27 | name="search", 28 | func=search.run, 29 | description="useful for when you need to answer questions about current events. " 30 | "You should ask targeted questions", 31 | ), 32 | WriteFileTool(), 33 | ReadFileTool(), 34 | ] 35 | 36 | memory = FAISSRetriever() 37 | 38 | agent = AutoGPTAgent(tools=tools, memory=memory) 39 | agent.agent.chain.verbose = True 40 | agent.run([objective]) 41 | 42 | 43 | if __name__ == "__main__": 44 | run_autogpt() 45 | -------------------------------------------------------------------------------- /agentx/agents/babyagi/__init__.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/babyagi/__init__.py 2 | -------------------------------------------------------------------------------- /agentx/agents/babyagi/baby_agi.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/babyagi/baby_agi.py 2 | 3 | from collections import deque 4 | from typing import Any, Dict, List, Optional 5 | 6 | from langchain.chains.base import Chain 7 | from langchain.llms import BaseLLM 8 | from langchain.vectorstores.base import VectorStore 9 | from pydantic import BaseModel, Field 10 | 11 | from agentx.agents.babyagi.chains import ( 12 | TaskCreationChain, 13 | TaskExecutionChain, 14 | TaskPrioritizationChain, 15 | ) 16 | from agentx.agents.babyagi.utils import execute_task, get_next_task, prioritize_tasks 17 | 18 | 19 | class BabyAGI(Chain, BaseModel): 20 | """Controller model for the BabyAGI agent.""" 21 | 22 | task_list: deque = Field(default_factory=deque) 23 | task_creation_chain: TaskCreationChain = Field(...) 24 | task_prioritization_chain: TaskPrioritizationChain = Field(...) 25 | task_execution_chain: TaskExecutionChain = Field(...) 26 | task_id_counter: int = Field(1) 27 | vectorstore: VectorStore = Field(init=False) 28 | max_iterations: Optional[int] = None 29 | 30 | class Config: 31 | """Configuration for this pydantic object.""" 32 | 33 | arbitrary_types_allowed = True 34 | 35 | def add_task(self, task: Dict): 36 | self.task_list.append(task) 37 | 38 | def print_task_list(self): 39 | print("\033[95m\033[1m" + "\n*****TASK LIST*****\n" + "\033[0m\033[0m") 40 | for t in self.task_list: 41 | print(str(t["task_id"]) + ": " + t["task_name"]) 42 | 43 | def print_next_task(self, task: Dict): 44 | print("\033[92m\033[1m" + "\n*****NEXT TASK*****\n" + "\033[0m\033[0m") 45 | print(str(task["task_id"]) + ": " + task["task_name"]) 46 | 47 | def print_task_result(self, result: str): 48 | print("\033[93m\033[1m" + "\n*****TASK RESULT*****\n" + "\033[0m\033[0m") 49 | print(result) 50 | 51 | @property 52 | def input_keys(self) -> List[str]: 53 | return ["objective"] 54 | 55 | @property 56 | def output_keys(self) -> List[str]: 57 | return [] 58 | 59 | def _call(self, inputs: Dict[str, Any]) -> Dict[str, Any]: 60 | """Run the agent.""" 61 | objective = inputs["objective"] 62 | first_task = inputs.get("first_task", "Make a todo list") 63 | self.add_task({"task_id": 1, "task_name": first_task}) 64 | num_iters = 0 65 | while True: 66 | if self.task_list: 67 | self.print_task_list() 68 | 69 | # Step 1: Pull the first task 70 | task = self.task_list.popleft() 71 | self.print_next_task(task) 72 | 73 | # Step 2: Execute the task 74 | result = execute_task( 75 | self.vectorstore, 76 | self.task_execution_chain, 77 | objective, 78 | task["task_name"], 79 | ) 80 | this_task_id = int(task["task_id"]) 81 | self.print_task_result(result) 82 | 83 | # Step 3: Store the result in Pinecone 84 | result_id = f"result_{task['task_id']}" 85 | self.vectorstore.add_texts( 86 | texts=[result], 87 | metadatas=[{"task": task["task_name"]}], 88 | ids=[result_id], 89 | ) 90 | 91 | # Step 4: Create new tasks and reprioritize task list 92 | new_tasks = get_next_task( 93 | self.task_creation_chain, 94 | result, 95 | task["task_name"], 96 | [t["task_name"] for t in self.task_list], 97 | objective, 98 | ) 99 | for new_task in new_tasks: 100 | self.task_id_counter += 1 101 | new_task.update({"task_id": self.task_id_counter}) 102 | self.add_task(new_task) 103 | self.task_list = deque( 104 | prioritize_tasks( 105 | self.task_prioritization_chain, 106 | this_task_id, 107 | list(self.task_list), 108 | objective, 109 | ) 110 | ) 111 | num_iters += 1 112 | if self.max_iterations is not None and num_iters == self.max_iterations: 113 | print( 114 | "\033[91m\033[1m" + "\n*****TASK ENDING*****\n" + "\033[0m\033[0m" 115 | ) 116 | break 117 | return {} 118 | 119 | @classmethod 120 | def from_llm( 121 | cls, llm: BaseLLM, vectorstore: VectorStore, verbose: bool = False, **kwargs 122 | ) -> "BabyAGI": 123 | """Initialize the BabyAGI Controller.""" 124 | task_creation_chain = TaskCreationChain.from_llm(llm, verbose=verbose) 125 | task_prioritization_chain = TaskPrioritizationChain.from_llm( 126 | llm, verbose=verbose 127 | ) 128 | task_execution_chain = TaskExecutionChain.from_llm(llm, verbose=verbose) 129 | return cls( 130 | task_creation_chain=task_creation_chain, 131 | task_prioritization_chain=task_prioritization_chain, 132 | task_execution_chain=task_execution_chain, 133 | vectorstore=vectorstore, 134 | **kwargs, 135 | ) 136 | -------------------------------------------------------------------------------- /agentx/agents/babyagi/chains/__init__.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/babyagi/chains/__init__.py 2 | 3 | from .task_creation_chain import TaskCreationChain 4 | from .task_execution_chain import TaskExecutionChain 5 | from .task_prioritization_chain import TaskPrioritizationChain 6 | 7 | __all__ = [ 8 | "TaskCreationChain", 9 | "TaskExecutionChain", 10 | "TaskPrioritizationChain", 11 | ] 12 | -------------------------------------------------------------------------------- /agentx/agents/babyagi/chains/task_creation_chain.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/babyagi/chains/task_creation_chain.py 2 | 3 | from langchain import LLMChain, PromptTemplate 4 | from langchain.llms import BaseLLM 5 | 6 | 7 | class TaskCreationChain(LLMChain): 8 | """A specialized LLMChain for generating new tasks based on a 9 | specific objective, completed task result, and a list of 10 | incomplete tasks. 11 | """ 12 | 13 | @classmethod 14 | def from_llm(cls, llm: BaseLLM, verbose: bool = True) -> LLMChain: 15 | """Create a TaskCreationChain instance using a BaseLLM language model. 16 | 17 | Args: 18 | llm (BaseLLM): A language model instance from the langchain.llms module. 19 | verbose (bool, optional): If True, prints detailed information during 20 | chain execution. Defaults to True. 21 | 22 | Returns: 23 | LLMChain: A TaskCreationChain object for generating new tasks based on 24 | the given information. 25 | """ 26 | task_creation_template = ( 27 | "You are an task creation AI that uses the result of an execution agent" 28 | " to create new tasks with the following objective: {objective}," 29 | " The last completed task has the result: {result}." 30 | " This result was based on this task description: {task_description}." 31 | " These are incomplete tasks: {incomplete_tasks}." 32 | " Based on the result, create new tasks to be completed" 33 | " by the AI system that do not overlap with incomplete tasks." 34 | " Return the tasks as an array." 35 | ) 36 | prompt = PromptTemplate( 37 | template=task_creation_template, 38 | input_variables=[ 39 | "result", 40 | "task_description", 41 | "incomplete_tasks", 42 | "objective", 43 | ], 44 | ) 45 | return cls(prompt=prompt, llm=llm, verbose=verbose) 46 | -------------------------------------------------------------------------------- /agentx/agents/babyagi/chains/task_execution_chain.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/babyagi/chains/task_execution_chain.py 2 | 3 | from langchain import LLMChain, PromptTemplate 4 | from langchain.llms import BaseLLM 5 | 6 | 7 | class TaskExecutionChain(LLMChain): 8 | """A specialized LLMChain for executing tasks based on a given objective, 9 | context of completed tasks, and a specific task. 10 | """ 11 | 12 | @classmethod 13 | def from_llm(cls, llm: BaseLLM, verbose: bool = True) -> LLMChain: 14 | """Create a TaskExecutionChain instance using a BaseLLM language model. 15 | 16 | Args: 17 | llm (BaseLLM): A language model instance from the langchain.llms module. 18 | verbose (bool, optional): If True, prints detailed information during 19 | chain execution. Defaults to True. 20 | 21 | Returns: 22 | LLMChain: A TaskExecutionChain object for executing tasks based on the 23 | given information. 24 | """ 25 | execution_template = ( 26 | "You are an AI who performs one task based on the following objective: {objective}." 27 | " Take into account these previously completed tasks: {context}." 28 | " Your task: {task}." 29 | " Response:" 30 | ) 31 | prompt = PromptTemplate( 32 | template=execution_template, 33 | input_variables=["objective", "context", "task"], 34 | ) 35 | return cls(prompt=prompt, llm=llm, verbose=verbose) 36 | -------------------------------------------------------------------------------- /agentx/agents/babyagi/chains/task_prioritization_chain.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/babyagi/chains/task_prioritization_chain.py 2 | 3 | from langchain import LLMChain, PromptTemplate 4 | from langchain.llms import BaseLLM 5 | 6 | 7 | class TaskPrioritizationChain(LLMChain): 8 | """A specialized LLMChain for prioritizing tasks based on a given 9 | list of task names, an ultimate objective, and the starting task ID. 10 | """ 11 | 12 | @classmethod 13 | def from_llm(cls, llm: BaseLLM, verbose: bool = True) -> LLMChain: 14 | """Create a TaskPrioritizationChain instance using a BaseLLM language 15 | model. 16 | 17 | Args: 18 | llm (BaseLLM): A language model instance from the langchain.llms module. 19 | verbose (bool, optional): If True, prints detailed information during chain 20 | execution. Defaults to True. 21 | 22 | Returns: 23 | LLMChain: A TaskPrioritizationChain object for prioritizing tasks based on 24 | the given information. 25 | """ 26 | task_prioritization_template = ( 27 | "You are an task prioritization AI tasked with cleaning" 28 | " the formatting of and reprioritizing the following tasks:" 29 | " {task_names}. Consider the ultimate objective of your team:" 30 | " {objective}. Do not remove any tasks. Return the result as" 31 | " a numbered list, like:" 32 | " #. First task" 33 | " #. Second task" 34 | " Start the task list with number {next_task_id} and increase " 35 | " the number by one for every further task." 36 | " Make sure to reason about a good order of task to archive the" 37 | " global objective." 38 | ) 39 | prompt = PromptTemplate( 40 | template=task_prioritization_template, 41 | input_variables=["task_names", "next_task_id", "objective"], 42 | ) 43 | return cls(prompt=prompt, llm=llm, verbose=verbose) 44 | -------------------------------------------------------------------------------- /agentx/agents/babyagi/main.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/babyagi/main.py 2 | 3 | from typing import Optional 4 | 5 | from langchain import OpenAI 6 | 7 | from agentx.agents.babyagi.baby_agi import BabyAGI 8 | from agentx.memory.faiss import get_faiss_vectorstore_for_openapi 9 | 10 | 11 | def run_baby_agi(): 12 | OBJECTIVE = "Write a weather report for SF today" 13 | 14 | vectorstore = get_faiss_vectorstore_for_openapi() 15 | llm = OpenAI(temperature=0) 16 | 17 | # Logging of LLMChains 18 | verbose = False 19 | # If None, will keep on going forever 20 | max_iterations: Optional[int] = 3 21 | baby_agi = BabyAGI.from_llm( 22 | llm=llm, 23 | vectorstore=vectorstore, 24 | verbose=verbose, 25 | max_iterations=max_iterations, 26 | ) 27 | 28 | baby_agi({"objective": OBJECTIVE}) 29 | 30 | 31 | if __name__ == "__main__": 32 | run_baby_agi() 33 | -------------------------------------------------------------------------------- /agentx/agents/babyagi/utils.py: -------------------------------------------------------------------------------- 1 | # agentx/agents/babyagi/utils.py 2 | 3 | from typing import Dict, List 4 | 5 | from langchain import LLMChain 6 | from langchain.vectorstores import FAISS 7 | 8 | 9 | def _get_top_tasks(vectorstore: FAISS, query: str, k: int) -> List[str]: 10 | """Get the top k tasks based on the similarity to the given query. 11 | 12 | Args: 13 | vectorstore (FAISS): A vector store instance for searching tasks. 14 | query (str): A text query representing the information to be matched with tasks. 15 | k (int): The number of top tasks to retrieve. 16 | 17 | Returns: 18 | List[str]: A list of top tasks, sorted by similarity to the query. 19 | """ 20 | results = vectorstore.similarity_search_with_score(query, k=k) 21 | if not results: 22 | return [] 23 | sorted_results, _ = zip(*sorted(results, key=lambda x: x[1], reverse=True)) 24 | return [str(item.metadata["task"]) for item in sorted_results] 25 | 26 | 27 | def execute_task( 28 | vectorstore: FAISS, execution_chain: LLMChain, objective: str, task: str, k: int = 5 29 | ) -> str: 30 | """Execute a given task using the provided execution_chain and context from the vectorstore. 31 | 32 | Args: 33 | vectorstore (FAISS): A vectorstore instance for searching tasks. 34 | execution_chain (LLMChain): A language model chain instance for executing tasks. 35 | objective (str): The overall objective of the task execution. 36 | task (str): The specific task to be executed. 37 | k (int, optional): The number of top related tasks to use as context. Defaults to 5. 38 | 39 | Returns: 40 | str: The result of the executed task. 41 | """ 42 | context = _get_top_tasks(vectorstore, query=objective, k=k) 43 | return execution_chain.run(objective=objective, context=context, task=task) 44 | 45 | 46 | def get_next_task( 47 | task_creation_chain: LLMChain, 48 | result: str, 49 | task_description: str, 50 | task_list: List[str], 51 | objective: str, 52 | ) -> List[Dict]: 53 | """Get the next task based on task_creation_chain. 54 | 55 | Args: 56 | task_creation_chain (LLMChain): A TaskCreationChain instance for generating new tasks. 57 | result (str): The result of the last completed task. 58 | task_description (str): The description of the last completed task. 59 | task_list (List[str]): A list of incomplete tasks. 60 | objective (str): The overall objective for generating new tasks. 61 | 62 | Returns: 63 | List[Dict]: A list of dictionaries containing new tasks, with each task represented 64 | by a "task_name" key. 65 | """ 66 | incomplete_tasks = ", ".join(task_list) 67 | response = task_creation_chain.run( 68 | result=result, 69 | task_description=task_description, 70 | incomplete_tasks=incomplete_tasks, 71 | objective=objective, 72 | ) 73 | new_tasks = response.split("\n") 74 | return [{"task_name": task_name} for task_name in new_tasks if task_name.strip()] 75 | 76 | 77 | def prioritize_tasks( 78 | task_prioritization_chain: LLMChain, 79 | this_task_id: int, 80 | task_list: List[Dict], 81 | objective: str, 82 | ) -> List[Dict]: 83 | """Prioritize tasks in the given task_list based on the objective. 84 | 85 | Args: 86 | task_prioritization_chain (LLMChain): An instance of the TaskPrioritizationChain class. 87 | this_task_id (int): The current task ID. 88 | task_list (List[Dict]): A list of dictionaries representing tasks with a "task_name" key. 89 | objective (str): The overall objective for task prioritization. 90 | 91 | Returns: 92 | List[Dict]: A list of dictionaries representing prioritized tasks, 93 | each with a "task_id" and "task_name" key. 94 | """ 95 | task_names = [t["task_name"] for t in task_list] 96 | next_task_id = int(this_task_id) + 1 97 | response = task_prioritization_chain.run( 98 | task_names=task_names, next_task_id=next_task_id, objective=objective 99 | ) 100 | new_tasks = response.split("\n") 101 | prioritized_task_list = [] 102 | for task_string in new_tasks: 103 | if not task_string.strip(): 104 | continue 105 | task_parts = task_string.strip().split(".", 1) 106 | if len(task_parts) == 2: 107 | task_id = task_parts[0].strip() 108 | task_name = task_parts[1].strip() 109 | prioritized_task_list.append({"task_id": task_id, "task_name": task_name}) 110 | return prioritized_task_list 111 | -------------------------------------------------------------------------------- /agentx/autogpt.py: -------------------------------------------------------------------------------- 1 | # agentx/auto_gpt.py 2 | 3 | import faiss 4 | from langchain.agents import Tool 5 | from langchain.chat_models import ChatOpenAI 6 | from langchain.docstore import InMemoryDocstore 7 | from langchain.embeddings import OpenAIEmbeddings 8 | from langchain.experimental import AutoGPT 9 | from langchain.tools.file_management.read import ReadFileTool 10 | from langchain.tools.file_management.write import WriteFileTool 11 | from langchain.utilities import SerpAPIWrapper 12 | from langchain.vectorstores import FAISS 13 | 14 | search = SerpAPIWrapper() 15 | tools = [ 16 | Tool( 17 | name="search", 18 | func=search.run, 19 | description="useful for when you need to answer questions about current events. " 20 | "You should ask targeted questions", 21 | ), 22 | WriteFileTool(), 23 | ReadFileTool(), 24 | ] 25 | 26 | embeddings_model = OpenAIEmbeddings() 27 | 28 | embedding_size = 1536 29 | index = faiss.IndexFlatL2(embedding_size) 30 | vectorstore = FAISS(embeddings_model.embed_query, index, InMemoryDocstore({}), {}) 31 | 32 | agent = AutoGPT.from_llm_and_tools( 33 | ai_name="Tom", 34 | ai_role="Assistant", 35 | tools=tools, 36 | llm=ChatOpenAI(temperature=0), 37 | memory=vectorstore.as_retriever(), 38 | ) 39 | 40 | agent.chain.verbose = True 41 | 42 | agent.run(["write a weather report for SF today"]) 43 | -------------------------------------------------------------------------------- /agentx/baby_agi_with_tools.py: -------------------------------------------------------------------------------- 1 | # BabyAGI with Tools 2 | 3 | # Install and Import Required Modules 4 | 5 | from collections import deque 6 | from typing import Any, Dict, List, Optional 7 | 8 | import faiss 9 | from langchain import LLMChain, OpenAI, PromptTemplate, SerpAPIWrapper 10 | from langchain.agents import AgentExecutor, Tool, ZeroShotAgent 11 | from langchain.chains.base import Chain 12 | from langchain.docstore import InMemoryDocstore 13 | from langchain.embeddings import OpenAIEmbeddings 14 | from langchain.llms import BaseLLM 15 | from langchain.vectorstores import FAISS 16 | from langchain.vectorstores.base import VectorStore 17 | from pydantic import BaseModel, Field 18 | 19 | # Connect to the Vector Store 20 | 21 | 22 | # Define your embedding model 23 | embeddings_model = OpenAIEmbeddings() 24 | # Initialize the vectorstore as empty 25 | 26 | embedding_size = 1536 27 | index = faiss.IndexFlatL2(embedding_size) 28 | vectorstore = FAISS(embeddings_model.embed_query, index, InMemoryDocstore({}), {}) 29 | 30 | # Define the Chains 31 | 32 | # BabyAGI relies on three LLM chains: 33 | 34 | # 1. Task creation chain to select new tasks to add to the list 35 | # 2. Task prioritization chain to re-prioritize tasks 36 | # 3. Execution Chain to execute the tasks 37 | 38 | 39 | class TaskCreationChain(LLMChain): 40 | """Chain to generates tasks.""" 41 | 42 | @classmethod 43 | def from_llm(cls, llm: BaseLLM, verbose: bool = True) -> LLMChain: 44 | """Get the response parser.""" 45 | task_creation_template = ( 46 | "You are an task creation AI that uses the result of an execution agent" 47 | " to create new tasks with the following objective: {objective}," 48 | " The last completed task has the result: {result}." 49 | " This result was based on this task description: {task_description}." 50 | " These are incomplete tasks: {incomplete_tasks}." 51 | " Based on the result, create new tasks to be completed" 52 | " by the AI system that do not overlap with incomplete tasks." 53 | " Return the tasks as an array." 54 | ) 55 | prompt = PromptTemplate( 56 | template=task_creation_template, 57 | input_variables=[ 58 | "result", 59 | "task_description", 60 | "incomplete_tasks", 61 | "objective", 62 | ], 63 | ) 64 | return cls(prompt=prompt, llm=llm, verbose=verbose) 65 | 66 | 67 | class TaskPrioritizationChain(LLMChain): 68 | """Chain to prioritize tasks.""" 69 | 70 | @classmethod 71 | def from_llm(cls, llm: BaseLLM, verbose: bool = True) -> LLMChain: 72 | """Get the response parser.""" 73 | task_prioritization_template = ( 74 | "You are an task prioritization AI tasked with cleaning" 75 | " the formatting of and reprioritizing the following tasks:" 76 | " {task_names}. Consider the ultimate objective of your team:" 77 | " {objective}. Do not remove any tasks. Return the result as" 78 | " a numbered list, like:" 79 | " #. First task" 80 | " #. Second task" 81 | " Start the task list with number {next_task_id}." 82 | ) 83 | prompt = PromptTemplate( 84 | template=task_prioritization_template, 85 | input_variables=["task_names", "next_task_id", "objective"], 86 | ) 87 | return cls(prompt=prompt, llm=llm, verbose=verbose) 88 | 89 | 90 | # The Execution chain will now be an agent 91 | 92 | todo_prompt = PromptTemplate.from_template( 93 | "You are a planner who is an expert at coming up with a todo" 94 | " list for a given objective. Come up with a todo list for this" 95 | " objective: {objective}" 96 | ) 97 | todo_chain = LLMChain(llm=OpenAI(temperature=0), prompt=todo_prompt) 98 | search = SerpAPIWrapper() 99 | tools = [ 100 | Tool( 101 | name="Search", 102 | func=search.run, 103 | description="useful for when you need to answer questions about current events", 104 | ), 105 | Tool( 106 | name="TODO", 107 | func=todo_chain.run, 108 | description=( 109 | "useful for when you need to come up with todo lists. Input: an" 110 | " objective to create a todo list for. Output: a todo list for" 111 | " that objective. Please be very clear what the objective is!" 112 | ), 113 | ), 114 | ] 115 | 116 | 117 | prefix = """You are an AI who performs one task based on the following objective: {objective}. 118 | Take into account these previously completed tasks: {context}.""" 119 | 120 | suffix = """Question: {task} 121 | {agent_scratchpad}""" 122 | prompt = ZeroShotAgent.create_prompt( 123 | tools, 124 | prefix=prefix, 125 | suffix=suffix, 126 | input_variables=["objective", "task", "context", "agent_scratchpad"], 127 | ) 128 | 129 | # Define the BabyAGI Controller 130 | 131 | # BabyAGI composes the chains defined above in a (potentially-)infinite loop. 132 | 133 | 134 | def get_next_task( 135 | task_creation_chain: LLMChain, 136 | result: Dict, 137 | task_description: str, 138 | task_list: List[str], 139 | objective: str, 140 | ) -> List[Dict]: 141 | """Get the next task.""" 142 | incomplete_tasks = ", ".join(task_list) 143 | response = task_creation_chain.run( 144 | result=result, 145 | task_description=task_description, 146 | incomplete_tasks=incomplete_tasks, 147 | objective=objective, 148 | ) 149 | new_tasks = response.split("\n") 150 | return [{"task_name": task_name} for task_name in new_tasks if task_name.strip()] 151 | 152 | 153 | def prioritize_tasks( 154 | task_prioritization_chain: LLMChain, 155 | this_task_id: int, 156 | task_list: List[Dict], 157 | objective: str, 158 | ) -> List[Dict]: 159 | """Prioritize tasks.""" 160 | task_names = [t["task_name"] for t in task_list] 161 | next_task_id = int(this_task_id) + 1 162 | response = task_prioritization_chain.run( 163 | task_names=task_names, next_task_id=next_task_id, objective=objective 164 | ) 165 | new_tasks = response.split("\n") 166 | prioritized_task_list = [] 167 | for task_string in new_tasks: 168 | if not task_string.strip(): 169 | continue 170 | task_parts = task_string.strip().split(".", 1) 171 | if len(task_parts) == 2: 172 | task_id = task_parts[0].strip() 173 | task_name = task_parts[1].strip() 174 | prioritized_task_list.append({"task_id": task_id, "task_name": task_name}) 175 | return prioritized_task_list 176 | 177 | 178 | def _get_top_tasks(vectorstore, query: str, k: int) -> List[str]: 179 | """Get the top k tasks based on the query.""" 180 | results = vectorstore.similarity_search_with_score(query, k=k) 181 | if not results: 182 | return [] 183 | sorted_results, _ = zip(*sorted(results, key=lambda x: x[1], reverse=True)) 184 | return [str(item.metadata["task"]) for item in sorted_results] 185 | 186 | 187 | def execute_task( 188 | vectorstore, execution_chain: LLMChain, objective: str, task: str, k: int = 5 189 | ) -> str: 190 | """Execute a task.""" 191 | context = _get_top_tasks(vectorstore, query=objective, k=k) 192 | return execution_chain.run(objective=objective, context=context, task=task) 193 | 194 | 195 | class BabyAGI(Chain, BaseModel): 196 | """Controller model for the BabyAGI agent.""" 197 | 198 | task_list: deque = Field(default_factory=deque) 199 | task_creation_chain: TaskCreationChain = Field(...) 200 | task_prioritization_chain: TaskPrioritizationChain = Field(...) 201 | execution_chain: AgentExecutor = Field(...) 202 | task_id_counter: int = Field(1) 203 | vectorstore: VectorStore = Field(init=False) 204 | max_iterations: Optional[int] = None 205 | 206 | class Config: 207 | """Configuration for this pydantic object.""" 208 | 209 | arbitrary_types_allowed = True 210 | 211 | def add_task(self, task: Dict): 212 | self.task_list.append(task) 213 | 214 | def print_task_list(self): 215 | print("\033[95m\033[1m" + "\n*****TASK LIST*****\n" + "\033[0m\033[0m") 216 | for t in self.task_list: 217 | print(str(t["task_id"]) + ": " + t["task_name"]) 218 | 219 | def print_next_task(self, task: Dict): 220 | print("\033[92m\033[1m" + "\n*****NEXT TASK*****\n" + "\033[0m\033[0m") 221 | print(str(task["task_id"]) + ": " + task["task_name"]) 222 | 223 | def print_task_result(self, result: str): 224 | print("\033[93m\033[1m" + "\n*****TASK RESULT*****\n" + "\033[0m\033[0m") 225 | print(result) 226 | 227 | @property 228 | def input_keys(self) -> List[str]: 229 | return ["objective"] 230 | 231 | @property 232 | def output_keys(self) -> List[str]: 233 | return [] 234 | 235 | def _call(self, inputs: Dict[str, Any]) -> Dict[str, Any]: 236 | """Run the agent.""" 237 | objective = inputs["objective"] 238 | first_task = inputs.get("first_task", "Make a todo list") 239 | self.add_task({"task_id": 1, "task_name": first_task}) 240 | num_iters = 0 241 | while True: 242 | if self.task_list: 243 | self.print_task_list() 244 | 245 | # Step 1: Pull the first task 246 | task = self.task_list.popleft() 247 | self.print_next_task(task) 248 | 249 | # Step 2: Execute the task 250 | result = execute_task( 251 | self.vectorstore, self.execution_chain, objective, task["task_name"] 252 | ) 253 | this_task_id = int(task["task_id"]) 254 | self.print_task_result(result) 255 | 256 | # Step 3: Store the result in Pinecone 257 | result_id = f"result_{task['task_id']}" 258 | self.vectorstore.add_texts( 259 | texts=[result], 260 | metadatas=[{"task": task["task_name"]}], 261 | ids=[result_id], 262 | ) 263 | 264 | # Step 4: Create new tasks and reprioritize task list 265 | new_tasks = get_next_task( 266 | self.task_creation_chain, 267 | result, 268 | task["task_name"], 269 | [t["task_name"] for t in self.task_list], 270 | objective, 271 | ) 272 | for new_task in new_tasks: 273 | self.task_id_counter += 1 274 | new_task.update({"task_id": self.task_id_counter}) 275 | self.add_task(new_task) 276 | self.task_list = deque( 277 | prioritize_tasks( 278 | self.task_prioritization_chain, 279 | this_task_id, 280 | list(self.task_list), 281 | objective, 282 | ) 283 | ) 284 | num_iters += 1 285 | if self.max_iterations is not None and num_iters == self.max_iterations: 286 | print( 287 | "\033[91m\033[1m" + "\n*****TASK ENDING*****\n" + "\033[0m\033[0m" 288 | ) 289 | break 290 | return {} 291 | 292 | @classmethod 293 | def from_llm( 294 | cls, llm: BaseLLM, vectorstore: VectorStore, verbose: bool = False, **kwargs 295 | ) -> "BabyAGI": 296 | """Initialize the BabyAGI Controller.""" 297 | task_creation_chain = TaskCreationChain.from_llm(llm, verbose=verbose) 298 | task_prioritization_chain = TaskPrioritizationChain.from_llm( 299 | llm, verbose=verbose 300 | ) 301 | llm_chain = LLMChain(llm=llm, prompt=prompt) 302 | tool_names = [tool.name for tool in tools] 303 | agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names) 304 | agent_executor = AgentExecutor.from_agent_and_tools( 305 | agent=agent, tools=tools, verbose=True 306 | ) 307 | return cls( 308 | task_creation_chain=task_creation_chain, 309 | task_prioritization_chain=task_prioritization_chain, 310 | execution_chain=agent_executor, 311 | vectorstore=vectorstore, 312 | **kwargs, 313 | ) 314 | 315 | 316 | # Run the BabyAGI 317 | 318 | # Create the BabyAGI controller and watch it try to accomplish your objective. 319 | 320 | OBJECTIVE = "Write a weather report for SF today" 321 | 322 | llm = OpenAI(temperature=0) 323 | 324 | # Logging of LLMChains 325 | verbose = False 326 | # If None, will keep on going forever 327 | max_iterations: Optional[int] = 3 328 | baby_agi = BabyAGI.from_llm( 329 | llm=llm, vectorstore=vectorstore, verbose=verbose, max_iterations=max_iterations 330 | ) 331 | 332 | baby_agi({"objective": OBJECTIVE}) 333 | -------------------------------------------------------------------------------- /agentx/memory/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/slavakurilyak/agentx/3cbfdf8afb8462bad17235eb0b0f07b6997fae22/agentx/memory/__init__.py -------------------------------------------------------------------------------- /agentx/memory/faiss.py: -------------------------------------------------------------------------------- 1 | # agentx/memory/faiss.py 2 | 3 | from typing import List 4 | 5 | import faiss 6 | from dotenv import load_dotenv 7 | from langchain.docstore import InMemoryDocstore 8 | from langchain.docstore.document import Document 9 | from langchain.embeddings import OpenAIEmbeddings 10 | from langchain.vectorstores import FAISS 11 | from langchain.vectorstores.base import VectorStoreRetriever 12 | 13 | load_dotenv() 14 | 15 | 16 | class FAISSRetriever(VectorStoreRetriever): 17 | def __init__(self): 18 | embeddings_model = OpenAIEmbeddings() 19 | embedding_size = 1536 20 | index = faiss.IndexFlatL2(embedding_size) 21 | vectorstore = FAISS( 22 | embeddings_model.embed_query, index, InMemoryDocstore({}), {} 23 | ) 24 | super().__init__(vectorstore=vectorstore) 25 | 26 | def get_relevant_documents(self, query: str) -> List[Document]: 27 | return self.vectorstore.similarity_search(query) 28 | -------------------------------------------------------------------------------- /helpers/python-minifier.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | import python_minifier 4 | 5 | root_dirs = ["agentx", "tests"] 6 | output_dir = ".python-minifier" 7 | 8 | for root_dir in root_dirs: 9 | for root, dirs, files in os.walk(root_dir): 10 | for file in files: 11 | if file.endswith(".py"): 12 | input_path = os.path.join(root, file) 13 | output_path = os.path.join( 14 | output_dir, root_dir, os.path.relpath(root, root_dir), file 15 | ) 16 | output_dirname = os.path.dirname(output_path) 17 | os.makedirs(output_dirname, exist_ok=True) 18 | with open(input_path) as f: 19 | minified = python_minifier.minify(f.read()) 20 | with open(output_path, "w") as f: 21 | f.write(minified) 22 | -------------------------------------------------------------------------------- /poetry.lock: -------------------------------------------------------------------------------- 1 | # This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. 2 | 3 | [[package]] 4 | name = "aiohttp" 5 | version = "3.8.4" 6 | description = "Async http client/server framework (asyncio)" 7 | category = "main" 8 | optional = false 9 | python-versions = ">=3.6" 10 | files = [ 11 | {file = "aiohttp-3.8.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5ce45967538fb747370308d3145aa68a074bdecb4f3a300869590f725ced69c1"}, 12 | {file = "aiohttp-3.8.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b744c33b6f14ca26b7544e8d8aadff6b765a80ad6164fb1a430bbadd593dfb1a"}, 13 | {file = "aiohttp-3.8.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1a45865451439eb320784918617ba54b7a377e3501fb70402ab84d38c2cd891b"}, 14 | {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a86d42d7cba1cec432d47ab13b6637bee393a10f664c425ea7b305d1301ca1a3"}, 15 | {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee3c36df21b5714d49fc4580247947aa64bcbe2939d1b77b4c8dcb8f6c9faecc"}, 16 | {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:176a64b24c0935869d5bbc4c96e82f89f643bcdf08ec947701b9dbb3c956b7dd"}, 17 | {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c844fd628851c0bc309f3c801b3a3d58ce430b2ce5b359cd918a5a76d0b20cb5"}, 18 | {file = "aiohttp-3.8.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5393fb786a9e23e4799fec788e7e735de18052f83682ce2dfcabaf1c00c2c08e"}, 19 | {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e4b09863aae0dc965c3ef36500d891a3ff495a2ea9ae9171e4519963c12ceefd"}, 20 | {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:adfbc22e87365a6e564c804c58fc44ff7727deea782d175c33602737b7feadb6"}, 21 | {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:147ae376f14b55f4f3c2b118b95be50a369b89b38a971e80a17c3fd623f280c9"}, 22 | {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:eafb3e874816ebe2a92f5e155f17260034c8c341dad1df25672fb710627c6949"}, 23 | {file = "aiohttp-3.8.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c6cc15d58053c76eacac5fa9152d7d84b8d67b3fde92709195cb984cfb3475ea"}, 24 | {file = "aiohttp-3.8.4-cp310-cp310-win32.whl", hash = "sha256:59f029a5f6e2d679296db7bee982bb3d20c088e52a2977e3175faf31d6fb75d1"}, 25 | {file = "aiohttp-3.8.4-cp310-cp310-win_amd64.whl", hash = "sha256:fe7ba4a51f33ab275515f66b0a236bcde4fb5561498fe8f898d4e549b2e4509f"}, 26 | {file = "aiohttp-3.8.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3d8ef1a630519a26d6760bc695842579cb09e373c5f227a21b67dc3eb16cfea4"}, 27 | {file = "aiohttp-3.8.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b3f2e06a512e94722886c0827bee9807c86a9f698fac6b3aee841fab49bbfb4"}, 28 | {file = "aiohttp-3.8.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3a80464982d41b1fbfe3154e440ba4904b71c1a53e9cd584098cd41efdb188ef"}, 29 | {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b631e26df63e52f7cce0cce6507b7a7f1bc9b0c501fcde69742130b32e8782f"}, 30 | {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3f43255086fe25e36fd5ed8f2ee47477408a73ef00e804cb2b5cba4bf2ac7f5e"}, 31 | {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4d347a172f866cd1d93126d9b239fcbe682acb39b48ee0873c73c933dd23bd0f"}, 32 | {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3fec6a4cb5551721cdd70473eb009d90935b4063acc5f40905d40ecfea23e05"}, 33 | {file = "aiohttp-3.8.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:80a37fe8f7c1e6ce8f2d9c411676e4bc633a8462844e38f46156d07a7d401654"}, 34 | {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d1e6a862b76f34395a985b3cd39a0d949ca80a70b6ebdea37d3ab39ceea6698a"}, 35 | {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cd468460eefef601ece4428d3cf4562459157c0f6523db89365202c31b6daebb"}, 36 | {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:618c901dd3aad4ace71dfa0f5e82e88b46ef57e3239fc7027773cb6d4ed53531"}, 37 | {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:652b1bff4f15f6287550b4670546a2947f2a4575b6c6dff7760eafb22eacbf0b"}, 38 | {file = "aiohttp-3.8.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80575ba9377c5171407a06d0196b2310b679dc752d02a1fcaa2bc20b235dbf24"}, 39 | {file = "aiohttp-3.8.4-cp311-cp311-win32.whl", hash = "sha256:bbcf1a76cf6f6dacf2c7f4d2ebd411438c275faa1dc0c68e46eb84eebd05dd7d"}, 40 | {file = "aiohttp-3.8.4-cp311-cp311-win_amd64.whl", hash = "sha256:6e74dd54f7239fcffe07913ff8b964e28b712f09846e20de78676ce2a3dc0bfc"}, 41 | {file = "aiohttp-3.8.4-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:880e15bb6dad90549b43f796b391cfffd7af373f4646784795e20d92606b7a51"}, 42 | {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb96fa6b56bb536c42d6a4a87dfca570ff8e52de2d63cabebfd6fb67049c34b6"}, 43 | {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4a6cadebe132e90cefa77e45f2d2f1a4b2ce5c6b1bfc1656c1ddafcfe4ba8131"}, 44 | {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f352b62b45dff37b55ddd7b9c0c8672c4dd2eb9c0f9c11d395075a84e2c40f75"}, 45 | {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ab43061a0c81198d88f39aaf90dae9a7744620978f7ef3e3708339b8ed2ef01"}, 46 | {file = "aiohttp-3.8.4-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c9cb1565a7ad52e096a6988e2ee0397f72fe056dadf75d17fa6b5aebaea05622"}, 47 | {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:1b3ea7edd2d24538959c1c1abf97c744d879d4e541d38305f9bd7d9b10c9ec41"}, 48 | {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:7c7837fe8037e96b6dd5cfcf47263c1620a9d332a87ec06a6ca4564e56bd0f36"}, 49 | {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:3b90467ebc3d9fa5b0f9b6489dfb2c304a1db7b9946fa92aa76a831b9d587e99"}, 50 | {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:cab9401de3ea52b4b4c6971db5fb5c999bd4260898af972bf23de1c6b5dd9d71"}, 51 | {file = "aiohttp-3.8.4-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:d1f9282c5f2b5e241034a009779e7b2a1aa045f667ff521e7948ea9b56e0c5ff"}, 52 | {file = "aiohttp-3.8.4-cp36-cp36m-win32.whl", hash = "sha256:5e14f25765a578a0a634d5f0cd1e2c3f53964553a00347998dfdf96b8137f777"}, 53 | {file = "aiohttp-3.8.4-cp36-cp36m-win_amd64.whl", hash = "sha256:4c745b109057e7e5f1848c689ee4fb3a016c8d4d92da52b312f8a509f83aa05e"}, 54 | {file = "aiohttp-3.8.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:aede4df4eeb926c8fa70de46c340a1bc2c6079e1c40ccf7b0eae1313ffd33519"}, 55 | {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ddaae3f3d32fc2cb4c53fab020b69a05c8ab1f02e0e59665c6f7a0d3a5be54f"}, 56 | {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4eb3b82ca349cf6fadcdc7abcc8b3a50ab74a62e9113ab7a8ebc268aad35bb9"}, 57 | {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9bcb89336efa095ea21b30f9e686763f2be4478f1b0a616969551982c4ee4c3b"}, 58 | {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c08e8ed6fa3d477e501ec9db169bfac8140e830aa372d77e4a43084d8dd91ab"}, 59 | {file = "aiohttp-3.8.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c6cd05ea06daca6ad6a4ca3ba7fe7dc5b5de063ff4daec6170ec0f9979f6c332"}, 60 | {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:b7a00a9ed8d6e725b55ef98b1b35c88013245f35f68b1b12c5cd4100dddac333"}, 61 | {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:de04b491d0e5007ee1b63a309956eaed959a49f5bb4e84b26c8f5d49de140fa9"}, 62 | {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:40653609b3bf50611356e6b6554e3a331f6879fa7116f3959b20e3528783e699"}, 63 | {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:dbf3a08a06b3f433013c143ebd72c15cac33d2914b8ea4bea7ac2c23578815d6"}, 64 | {file = "aiohttp-3.8.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:854f422ac44af92bfe172d8e73229c270dc09b96535e8a548f99c84f82dde241"}, 65 | {file = "aiohttp-3.8.4-cp37-cp37m-win32.whl", hash = "sha256:aeb29c84bb53a84b1a81c6c09d24cf33bb8432cc5c39979021cc0f98c1292a1a"}, 66 | {file = "aiohttp-3.8.4-cp37-cp37m-win_amd64.whl", hash = "sha256:db3fc6120bce9f446d13b1b834ea5b15341ca9ff3f335e4a951a6ead31105480"}, 67 | {file = "aiohttp-3.8.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:fabb87dd8850ef0f7fe2b366d44b77d7e6fa2ea87861ab3844da99291e81e60f"}, 68 | {file = "aiohttp-3.8.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:91f6d540163f90bbaef9387e65f18f73ffd7c79f5225ac3d3f61df7b0d01ad15"}, 69 | {file = "aiohttp-3.8.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d265f09a75a79a788237d7f9054f929ced2e69eb0bb79de3798c468d8a90f945"}, 70 | {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d89efa095ca7d442a6d0cbc755f9e08190ba40069b235c9886a8763b03785da"}, 71 | {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4dac314662f4e2aa5009977b652d9b8db7121b46c38f2073bfeed9f4049732cd"}, 72 | {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fe11310ae1e4cd560035598c3f29d86cef39a83d244c7466f95c27ae04850f10"}, 73 | {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ddb2a2026c3f6a68c3998a6c47ab6795e4127315d2e35a09997da21865757f8"}, 74 | {file = "aiohttp-3.8.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e75b89ac3bd27d2d043b234aa7b734c38ba1b0e43f07787130a0ecac1e12228a"}, 75 | {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6e601588f2b502c93c30cd5a45bfc665faaf37bbe835b7cfd461753068232074"}, 76 | {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a5d794d1ae64e7753e405ba58e08fcfa73e3fad93ef9b7e31112ef3c9a0efb52"}, 77 | {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:a1f4689c9a1462f3df0a1f7e797791cd6b124ddbee2b570d34e7f38ade0e2c71"}, 78 | {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:3032dcb1c35bc330134a5b8a5d4f68c1a87252dfc6e1262c65a7e30e62298275"}, 79 | {file = "aiohttp-3.8.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8189c56eb0ddbb95bfadb8f60ea1b22fcfa659396ea36f6adcc521213cd7b44d"}, 80 | {file = "aiohttp-3.8.4-cp38-cp38-win32.whl", hash = "sha256:33587f26dcee66efb2fff3c177547bd0449ab7edf1b73a7f5dea1e38609a0c54"}, 81 | {file = "aiohttp-3.8.4-cp38-cp38-win_amd64.whl", hash = "sha256:e595432ac259af2d4630008bf638873d69346372d38255774c0e286951e8b79f"}, 82 | {file = "aiohttp-3.8.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5a7bdf9e57126dc345b683c3632e8ba317c31d2a41acd5800c10640387d193ed"}, 83 | {file = "aiohttp-3.8.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:22f6eab15b6db242499a16de87939a342f5a950ad0abaf1532038e2ce7d31567"}, 84 | {file = "aiohttp-3.8.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7235604476a76ef249bd64cb8274ed24ccf6995c4a8b51a237005ee7a57e8643"}, 85 | {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea9eb976ffdd79d0e893869cfe179a8f60f152d42cb64622fca418cd9b18dc2a"}, 86 | {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:92c0cea74a2a81c4c76b62ea1cac163ecb20fb3ba3a75c909b9fa71b4ad493cf"}, 87 | {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:493f5bc2f8307286b7799c6d899d388bbaa7dfa6c4caf4f97ef7521b9cb13719"}, 88 | {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0a63f03189a6fa7c900226e3ef5ba4d3bd047e18f445e69adbd65af433add5a2"}, 89 | {file = "aiohttp-3.8.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10c8cefcff98fd9168cdd86c4da8b84baaa90bf2da2269c6161984e6737bf23e"}, 90 | {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bca5f24726e2919de94f047739d0a4fc01372801a3672708260546aa2601bf57"}, 91 | {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:03baa76b730e4e15a45f81dfe29a8d910314143414e528737f8589ec60cf7391"}, 92 | {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:8c29c77cc57e40f84acef9bfb904373a4e89a4e8b74e71aa8075c021ec9078c2"}, 93 | {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:03543dcf98a6619254b409be2d22b51f21ec66272be4ebda7b04e6412e4b2e14"}, 94 | {file = "aiohttp-3.8.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:17b79c2963db82086229012cff93ea55196ed31f6493bb1ccd2c62f1724324e4"}, 95 | {file = "aiohttp-3.8.4-cp39-cp39-win32.whl", hash = "sha256:34ce9f93a4a68d1272d26030655dd1b58ff727b3ed2a33d80ec433561b03d67a"}, 96 | {file = "aiohttp-3.8.4-cp39-cp39-win_amd64.whl", hash = "sha256:41a86a69bb63bb2fc3dc9ad5ea9f10f1c9c8e282b471931be0268ddd09430b04"}, 97 | {file = "aiohttp-3.8.4.tar.gz", hash = "sha256:bf2e1a9162c1e441bf805a1fd166e249d574ca04e03b34f97e2928769e91ab5c"}, 98 | ] 99 | 100 | [package.dependencies] 101 | aiosignal = ">=1.1.2" 102 | async-timeout = ">=4.0.0a3,<5.0" 103 | attrs = ">=17.3.0" 104 | charset-normalizer = ">=2.0,<4.0" 105 | frozenlist = ">=1.1.1" 106 | multidict = ">=4.5,<7.0" 107 | yarl = ">=1.0,<2.0" 108 | 109 | [package.extras] 110 | speedups = ["Brotli", "aiodns", "cchardet"] 111 | 112 | [[package]] 113 | name = "aiosignal" 114 | version = "1.3.1" 115 | description = "aiosignal: a list of registered asynchronous callbacks" 116 | category = "main" 117 | optional = false 118 | python-versions = ">=3.7" 119 | files = [ 120 | {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"}, 121 | {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"}, 122 | ] 123 | 124 | [package.dependencies] 125 | frozenlist = ">=1.1.0" 126 | 127 | [[package]] 128 | name = "async-timeout" 129 | version = "4.0.2" 130 | description = "Timeout context manager for asyncio programs" 131 | category = "main" 132 | optional = false 133 | python-versions = ">=3.6" 134 | files = [ 135 | {file = "async-timeout-4.0.2.tar.gz", hash = "sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15"}, 136 | {file = "async_timeout-4.0.2-py3-none-any.whl", hash = "sha256:8ca1e4fcf50d07413d66d1a5e416e42cfdf5851c981d679a09851a6853383b3c"}, 137 | ] 138 | 139 | [[package]] 140 | name = "attrs" 141 | version = "23.1.0" 142 | description = "Classes Without Boilerplate" 143 | category = "main" 144 | optional = false 145 | python-versions = ">=3.7" 146 | files = [ 147 | {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"}, 148 | {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"}, 149 | ] 150 | 151 | [package.extras] 152 | cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] 153 | dev = ["attrs[docs,tests]", "pre-commit"] 154 | docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] 155 | tests = ["attrs[tests-no-zope]", "zope-interface"] 156 | tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] 157 | 158 | [[package]] 159 | name = "black" 160 | version = "23.3.0" 161 | description = "The uncompromising code formatter." 162 | category = "dev" 163 | optional = false 164 | python-versions = ">=3.7" 165 | files = [ 166 | {file = "black-23.3.0-cp310-cp310-macosx_10_16_arm64.whl", hash = "sha256:0945e13506be58bf7db93ee5853243eb368ace1c08a24c65ce108986eac65915"}, 167 | {file = "black-23.3.0-cp310-cp310-macosx_10_16_universal2.whl", hash = "sha256:67de8d0c209eb5b330cce2469503de11bca4085880d62f1628bd9972cc3366b9"}, 168 | {file = "black-23.3.0-cp310-cp310-macosx_10_16_x86_64.whl", hash = "sha256:7c3eb7cea23904399866c55826b31c1f55bbcd3890ce22ff70466b907b6775c2"}, 169 | {file = "black-23.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:32daa9783106c28815d05b724238e30718f34155653d4d6e125dc7daec8e260c"}, 170 | {file = "black-23.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:35d1381d7a22cc5b2be2f72c7dfdae4072a3336060635718cc7e1ede24221d6c"}, 171 | {file = "black-23.3.0-cp311-cp311-macosx_10_16_arm64.whl", hash = "sha256:a8a968125d0a6a404842fa1bf0b349a568634f856aa08ffaff40ae0dfa52e7c6"}, 172 | {file = "black-23.3.0-cp311-cp311-macosx_10_16_universal2.whl", hash = "sha256:c7ab5790333c448903c4b721b59c0d80b11fe5e9803d8703e84dcb8da56fec1b"}, 173 | {file = "black-23.3.0-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:a6f6886c9869d4daae2d1715ce34a19bbc4b95006d20ed785ca00fa03cba312d"}, 174 | {file = "black-23.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f3c333ea1dd6771b2d3777482429864f8e258899f6ff05826c3a4fcc5ce3f70"}, 175 | {file = "black-23.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:11c410f71b876f961d1de77b9699ad19f939094c3a677323f43d7a29855fe326"}, 176 | {file = "black-23.3.0-cp37-cp37m-macosx_10_16_x86_64.whl", hash = "sha256:1d06691f1eb8de91cd1b322f21e3bfc9efe0c7ca1f0e1eb1db44ea367dff656b"}, 177 | {file = "black-23.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50cb33cac881766a5cd9913e10ff75b1e8eb71babf4c7104f2e9c52da1fb7de2"}, 178 | {file = "black-23.3.0-cp37-cp37m-win_amd64.whl", hash = "sha256:e114420bf26b90d4b9daa597351337762b63039752bdf72bf361364c1aa05925"}, 179 | {file = "black-23.3.0-cp38-cp38-macosx_10_16_arm64.whl", hash = "sha256:48f9d345675bb7fbc3dd85821b12487e1b9a75242028adad0333ce36ed2a6d27"}, 180 | {file = "black-23.3.0-cp38-cp38-macosx_10_16_universal2.whl", hash = "sha256:714290490c18fb0126baa0fca0a54ee795f7502b44177e1ce7624ba1c00f2331"}, 181 | {file = "black-23.3.0-cp38-cp38-macosx_10_16_x86_64.whl", hash = "sha256:064101748afa12ad2291c2b91c960be28b817c0c7eaa35bec09cc63aa56493c5"}, 182 | {file = "black-23.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:562bd3a70495facf56814293149e51aa1be9931567474993c7942ff7d3533961"}, 183 | {file = "black-23.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:e198cf27888ad6f4ff331ca1c48ffc038848ea9f031a3b40ba36aced7e22f2c8"}, 184 | {file = "black-23.3.0-cp39-cp39-macosx_10_16_arm64.whl", hash = "sha256:3238f2aacf827d18d26db07524e44741233ae09a584273aa059066d644ca7b30"}, 185 | {file = "black-23.3.0-cp39-cp39-macosx_10_16_universal2.whl", hash = "sha256:f0bd2f4a58d6666500542b26354978218a9babcdc972722f4bf90779524515f3"}, 186 | {file = "black-23.3.0-cp39-cp39-macosx_10_16_x86_64.whl", hash = "sha256:92c543f6854c28a3c7f39f4d9b7694f9a6eb9d3c5e2ece488c327b6e7ea9b266"}, 187 | {file = "black-23.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a150542a204124ed00683f0db1f5cf1c2aaaa9cc3495b7a3b5976fb136090ab"}, 188 | {file = "black-23.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:6b39abdfb402002b8a7d030ccc85cf5afff64ee90fa4c5aebc531e3ad0175ddb"}, 189 | {file = "black-23.3.0-py3-none-any.whl", hash = "sha256:ec751418022185b0c1bb7d7736e6933d40bbb14c14a0abcf9123d1b159f98dd4"}, 190 | {file = "black-23.3.0.tar.gz", hash = "sha256:1c7b8d606e728a41ea1ccbd7264677e494e87cf630e399262ced92d4a8dac940"}, 191 | ] 192 | 193 | [package.dependencies] 194 | click = ">=8.0.0" 195 | mypy-extensions = ">=0.4.3" 196 | packaging = ">=22.0" 197 | pathspec = ">=0.9.0" 198 | platformdirs = ">=2" 199 | tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} 200 | typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""} 201 | 202 | [package.extras] 203 | colorama = ["colorama (>=0.4.3)"] 204 | d = ["aiohttp (>=3.7.4)"] 205 | jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] 206 | uvloop = ["uvloop (>=0.15.2)"] 207 | 208 | [[package]] 209 | name = "certifi" 210 | version = "2022.12.7" 211 | description = "Python package for providing Mozilla's CA Bundle." 212 | category = "main" 213 | optional = false 214 | python-versions = ">=3.6" 215 | files = [ 216 | {file = "certifi-2022.12.7-py3-none-any.whl", hash = "sha256:4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18"}, 217 | {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"}, 218 | ] 219 | 220 | [[package]] 221 | name = "charset-normalizer" 222 | version = "3.1.0" 223 | description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." 224 | category = "main" 225 | optional = false 226 | python-versions = ">=3.7.0" 227 | files = [ 228 | {file = "charset-normalizer-3.1.0.tar.gz", hash = "sha256:34e0a2f9c370eb95597aae63bf85eb5e96826d81e3dcf88b8886012906f509b5"}, 229 | {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e0ac8959c929593fee38da1c2b64ee9778733cdf03c482c9ff1d508b6b593b2b"}, 230 | {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d7fc3fca01da18fbabe4625d64bb612b533533ed10045a2ac3dd194bfa656b60"}, 231 | {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:04eefcee095f58eaabe6dc3cc2262f3bcd776d2c67005880894f447b3f2cb9c1"}, 232 | {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20064ead0717cf9a73a6d1e779b23d149b53daf971169289ed2ed43a71e8d3b0"}, 233 | {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1435ae15108b1cb6fffbcea2af3d468683b7afed0169ad718451f8db5d1aff6f"}, 234 | {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c84132a54c750fda57729d1e2599bb598f5fa0344085dbde5003ba429a4798c0"}, 235 | {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75f2568b4189dda1c567339b48cba4ac7384accb9c2a7ed655cd86b04055c795"}, 236 | {file = "charset_normalizer-3.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:11d3bcb7be35e7b1bba2c23beedac81ee893ac9871d0ba79effc7fc01167db6c"}, 237 | {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:891cf9b48776b5c61c700b55a598621fdb7b1e301a550365571e9624f270c203"}, 238 | {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5f008525e02908b20e04707a4f704cd286d94718f48bb33edddc7d7b584dddc1"}, 239 | {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:b06f0d3bf045158d2fb8837c5785fe9ff9b8c93358be64461a1089f5da983137"}, 240 | {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:49919f8400b5e49e961f320c735388ee686a62327e773fa5b3ce6721f7e785ce"}, 241 | {file = "charset_normalizer-3.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:22908891a380d50738e1f978667536f6c6b526a2064156203d418f4856d6e86a"}, 242 | {file = "charset_normalizer-3.1.0-cp310-cp310-win32.whl", hash = "sha256:12d1a39aa6b8c6f6248bb54550efcc1c38ce0d8096a146638fd4738e42284448"}, 243 | {file = "charset_normalizer-3.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:65ed923f84a6844de5fd29726b888e58c62820e0769b76565480e1fdc3d062f8"}, 244 | {file = "charset_normalizer-3.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:9a3267620866c9d17b959a84dd0bd2d45719b817245e49371ead79ed4f710d19"}, 245 | {file = "charset_normalizer-3.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6734e606355834f13445b6adc38b53c0fd45f1a56a9ba06c2058f86893ae8017"}, 246 | {file = "charset_normalizer-3.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f8303414c7b03f794347ad062c0516cee0e15f7a612abd0ce1e25caf6ceb47df"}, 247 | {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaf53a6cebad0eae578f062c7d462155eada9c172bd8c4d250b8c1d8eb7f916a"}, 248 | {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3dc5b6a8ecfdc5748a7e429782598e4f17ef378e3e272eeb1340ea57c9109f41"}, 249 | {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e1b25e3ad6c909f398df8921780d6a3d120d8c09466720226fc621605b6f92b1"}, 250 | {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ca564606d2caafb0abe6d1b5311c2649e8071eb241b2d64e75a0d0065107e62"}, 251 | {file = "charset_normalizer-3.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b82fab78e0b1329e183a65260581de4375f619167478dddab510c6c6fb04d9b6"}, 252 | {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:bd7163182133c0c7701b25e604cf1611c0d87712e56e88e7ee5d72deab3e76b5"}, 253 | {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:11d117e6c63e8f495412d37e7dc2e2fff09c34b2d09dbe2bee3c6229577818be"}, 254 | {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:cf6511efa4801b9b38dc5546d7547d5b5c6ef4b081c60b23e4d941d0eba9cbeb"}, 255 | {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:abc1185d79f47c0a7aaf7e2412a0eb2c03b724581139193d2d82b3ad8cbb00ac"}, 256 | {file = "charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:cb7b2ab0188829593b9de646545175547a70d9a6e2b63bf2cd87a0a391599324"}, 257 | {file = "charset_normalizer-3.1.0-cp311-cp311-win32.whl", hash = "sha256:c36bcbc0d5174a80d6cccf43a0ecaca44e81d25be4b7f90f0ed7bcfbb5a00909"}, 258 | {file = "charset_normalizer-3.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:cca4def576f47a09a943666b8f829606bcb17e2bc2d5911a46c8f8da45f56755"}, 259 | {file = "charset_normalizer-3.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0c95f12b74681e9ae127728f7e5409cbbef9cd914d5896ef238cc779b8152373"}, 260 | {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fca62a8301b605b954ad2e9c3666f9d97f63872aa4efcae5492baca2056b74ab"}, 261 | {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac0aa6cd53ab9a31d397f8303f92c42f534693528fafbdb997c82bae6e477ad9"}, 262 | {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c3af8e0f07399d3176b179f2e2634c3ce9c1301379a6b8c9c9aeecd481da494f"}, 263 | {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a5fc78f9e3f501a1614a98f7c54d3969f3ad9bba8ba3d9b438c3bc5d047dd28"}, 264 | {file = "charset_normalizer-3.1.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:628c985afb2c7d27a4800bfb609e03985aaecb42f955049957814e0491d4006d"}, 265 | {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:74db0052d985cf37fa111828d0dd230776ac99c740e1a758ad99094be4f1803d"}, 266 | {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:1e8fcdd8f672a1c4fc8d0bd3a2b576b152d2a349782d1eb0f6b8e52e9954731d"}, 267 | {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:04afa6387e2b282cf78ff3dbce20f0cc071c12dc8f685bd40960cc68644cfea6"}, 268 | {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:dd5653e67b149503c68c4018bf07e42eeed6b4e956b24c00ccdf93ac79cdff84"}, 269 | {file = "charset_normalizer-3.1.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:d2686f91611f9e17f4548dbf050e75b079bbc2a82be565832bc8ea9047b61c8c"}, 270 | {file = "charset_normalizer-3.1.0-cp37-cp37m-win32.whl", hash = "sha256:4155b51ae05ed47199dc5b2a4e62abccb274cee6b01da5b895099b61b1982974"}, 271 | {file = "charset_normalizer-3.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:322102cdf1ab682ecc7d9b1c5eed4ec59657a65e1c146a0da342b78f4112db23"}, 272 | {file = "charset_normalizer-3.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:e633940f28c1e913615fd624fcdd72fdba807bf53ea6925d6a588e84e1151531"}, 273 | {file = "charset_normalizer-3.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:3a06f32c9634a8705f4ca9946d667609f52cf130d5548881401f1eb2c39b1e2c"}, 274 | {file = "charset_normalizer-3.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7381c66e0561c5757ffe616af869b916c8b4e42b367ab29fedc98481d1e74e14"}, 275 | {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3573d376454d956553c356df45bb824262c397c6e26ce43e8203c4c540ee0acb"}, 276 | {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e89df2958e5159b811af9ff0f92614dabf4ff617c03a4c1c6ff53bf1c399e0e1"}, 277 | {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:78cacd03e79d009d95635e7d6ff12c21eb89b894c354bd2b2ed0b4763373693b"}, 278 | {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de5695a6f1d8340b12a5d6d4484290ee74d61e467c39ff03b39e30df62cf83a0"}, 279 | {file = "charset_normalizer-3.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1c60b9c202d00052183c9be85e5eaf18a4ada0a47d188a83c8f5c5b23252f649"}, 280 | {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:f645caaf0008bacf349875a974220f1f1da349c5dbe7c4ec93048cdc785a3326"}, 281 | {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:ea9f9c6034ea2d93d9147818f17c2a0860d41b71c38b9ce4d55f21b6f9165a11"}, 282 | {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:80d1543d58bd3d6c271b66abf454d437a438dff01c3e62fdbcd68f2a11310d4b"}, 283 | {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:73dc03a6a7e30b7edc5b01b601e53e7fc924b04e1835e8e407c12c037e81adbd"}, 284 | {file = "charset_normalizer-3.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6f5c2e7bc8a4bf7c426599765b1bd33217ec84023033672c1e9a8b35eaeaaaf8"}, 285 | {file = "charset_normalizer-3.1.0-cp38-cp38-win32.whl", hash = "sha256:12a2b561af122e3d94cdb97fe6fb2bb2b82cef0cdca131646fdb940a1eda04f0"}, 286 | {file = "charset_normalizer-3.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:3160a0fd9754aab7d47f95a6b63ab355388d890163eb03b2d2b87ab0a30cfa59"}, 287 | {file = "charset_normalizer-3.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:38e812a197bf8e71a59fe55b757a84c1f946d0ac114acafaafaf21667a7e169e"}, 288 | {file = "charset_normalizer-3.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6baf0baf0d5d265fa7944feb9f7451cc316bfe30e8df1a61b1bb08577c554f31"}, 289 | {file = "charset_normalizer-3.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8f25e17ab3039b05f762b0a55ae0b3632b2e073d9c8fc88e89aca31a6198e88f"}, 290 | {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3747443b6a904001473370d7810aa19c3a180ccd52a7157aacc264a5ac79265e"}, 291 | {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b116502087ce8a6b7a5f1814568ccbd0e9f6cfd99948aa59b0e241dc57cf739f"}, 292 | {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d16fd5252f883eb074ca55cb622bc0bee49b979ae4e8639fff6ca3ff44f9f854"}, 293 | {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21fa558996782fc226b529fdd2ed7866c2c6ec91cee82735c98a197fae39f706"}, 294 | {file = "charset_normalizer-3.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6f6c7a8a57e9405cad7485f4c9d3172ae486cfef1344b5ddd8e5239582d7355e"}, 295 | {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ac3775e3311661d4adace3697a52ac0bab17edd166087d493b52d4f4f553f9f0"}, 296 | {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:10c93628d7497c81686e8e5e557aafa78f230cd9e77dd0c40032ef90c18f2230"}, 297 | {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:6f4f4668e1831850ebcc2fd0b1cd11721947b6dc7c00bf1c6bd3c929ae14f2c7"}, 298 | {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:0be65ccf618c1e7ac9b849c315cc2e8a8751d9cfdaa43027d4f6624bd587ab7e"}, 299 | {file = "charset_normalizer-3.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:53d0a3fa5f8af98a1e261de6a3943ca631c526635eb5817a87a59d9a57ebf48f"}, 300 | {file = "charset_normalizer-3.1.0-cp39-cp39-win32.whl", hash = "sha256:a04f86f41a8916fe45ac5024ec477f41f886b3c435da2d4e3d2709b22ab02af1"}, 301 | {file = "charset_normalizer-3.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:830d2948a5ec37c386d3170c483063798d7879037492540f10a475e3fd6f244b"}, 302 | {file = "charset_normalizer-3.1.0-py3-none-any.whl", hash = "sha256:3d9098b479e78c85080c98e1e35ff40b4a31d8953102bb0fd7d1b6f8a2111a3d"}, 303 | ] 304 | 305 | [[package]] 306 | name = "click" 307 | version = "8.1.3" 308 | description = "Composable command line interface toolkit" 309 | category = "dev" 310 | optional = false 311 | python-versions = ">=3.7" 312 | files = [ 313 | {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"}, 314 | {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"}, 315 | ] 316 | 317 | [package.dependencies] 318 | colorama = {version = "*", markers = "platform_system == \"Windows\""} 319 | 320 | [[package]] 321 | name = "colorama" 322 | version = "0.4.6" 323 | description = "Cross-platform colored terminal text." 324 | category = "main" 325 | optional = false 326 | python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" 327 | files = [ 328 | {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, 329 | {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, 330 | ] 331 | 332 | [[package]] 333 | name = "dataclasses-json" 334 | version = "0.5.7" 335 | description = "Easily serialize dataclasses to and from JSON" 336 | category = "main" 337 | optional = false 338 | python-versions = ">=3.6" 339 | files = [ 340 | {file = "dataclasses-json-0.5.7.tar.gz", hash = "sha256:c2c11bc8214fbf709ffc369d11446ff6945254a7f09128154a7620613d8fda90"}, 341 | {file = "dataclasses_json-0.5.7-py3-none-any.whl", hash = "sha256:bc285b5f892094c3a53d558858a88553dd6a61a11ab1a8128a0e554385dcc5dd"}, 342 | ] 343 | 344 | [package.dependencies] 345 | marshmallow = ">=3.3.0,<4.0.0" 346 | marshmallow-enum = ">=1.5.1,<2.0.0" 347 | typing-inspect = ">=0.4.0" 348 | 349 | [package.extras] 350 | dev = ["flake8", "hypothesis", "ipython", "mypy (>=0.710)", "portray", "pytest (>=6.2.3)", "simplejson", "types-dataclasses"] 351 | 352 | [[package]] 353 | name = "exceptiongroup" 354 | version = "1.1.1" 355 | description = "Backport of PEP 654 (exception groups)" 356 | category = "dev" 357 | optional = false 358 | python-versions = ">=3.7" 359 | files = [ 360 | {file = "exceptiongroup-1.1.1-py3-none-any.whl", hash = "sha256:232c37c63e4f682982c8b6459f33a8981039e5fb8756b2074364e5055c498c9e"}, 361 | {file = "exceptiongroup-1.1.1.tar.gz", hash = "sha256:d484c3090ba2889ae2928419117447a14daf3c1231d5e30d0aae34f354f01785"}, 362 | ] 363 | 364 | [package.extras] 365 | test = ["pytest (>=6)"] 366 | 367 | [[package]] 368 | name = "faiss-cpu" 369 | version = "1.7.3" 370 | description = "A library for efficient similarity search and clustering of dense vectors." 371 | category = "main" 372 | optional = false 373 | python-versions = "*" 374 | files = [ 375 | {file = "faiss-cpu-1.7.3.tar.gz", hash = "sha256:cb71fe3f2934732d157d9d8cfb6ed2dd4020a0065571c84842ff6a3f0beab310"}, 376 | {file = "faiss_cpu-1.7.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:343f025e0846239d987d0c719772387ad685b74e5ef62b2e5616cabef9062729"}, 377 | {file = "faiss_cpu-1.7.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8b7b1cf693d7c24b5a633ff024717bd715fec501af4854357da0805b4899bcec"}, 378 | {file = "faiss_cpu-1.7.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c37e5fc0a266839844798a53dd42dd6afbee0c5905611f3f278297053fccbd7"}, 379 | {file = "faiss_cpu-1.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0628f7b0c6263ef4431995bb4f5f39833f999e96e6663935cbf0a1f2243dc4ac"}, 380 | {file = "faiss_cpu-1.7.3-cp310-cp310-win_amd64.whl", hash = "sha256:e22d1887c617156a673665c913ee82a30bfc1a3bc939ba8500b61328bce5a625"}, 381 | {file = "faiss_cpu-1.7.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6d411449a5f3c3abfcafadaac3190ab1ab206023fc9110da86649506dcbe8a27"}, 382 | {file = "faiss_cpu-1.7.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a10ea8622908f9f9ca4003e66da809dfad4af5c7d9fb7f582722d703bbc6c8bd"}, 383 | {file = "faiss_cpu-1.7.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c5ced43ae058a62f63b12194ec9aa4c34066b0ea813ecbd936c65b7d52848c8"}, 384 | {file = "faiss_cpu-1.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3df6371012248dea8e9509949e2d2c6d73dea7c1bdaa4ba4563eb1c3cd8021a6"}, 385 | {file = "faiss_cpu-1.7.3-cp311-cp311-win_amd64.whl", hash = "sha256:8b6ff7854c3f46104718c6b34e81cd48c156d970dd87703c5122ca90217bb8dc"}, 386 | {file = "faiss_cpu-1.7.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:ab6314a8fbcce11dc3ecb6f48dda8c4ec274ed11c1f336f599f480bf0561442c"}, 387 | {file = "faiss_cpu-1.7.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:877c0bbf4c4a1806d88e091aba4c91ff3fa35c3ede5663b7fafc5b39247a369e"}, 388 | {file = "faiss_cpu-1.7.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6f199be10d30ecc6ed65350931006eca01b7bb8faa27d63069318eea0f6a0c1"}, 389 | {file = "faiss_cpu-1.7.3-cp37-cp37m-win_amd64.whl", hash = "sha256:1ca2b7cdbfdcc6a2e8fa75a09594916b50ec8260913ca48334dc3ce797179b5f"}, 390 | {file = "faiss_cpu-1.7.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7b3f91856c19cfb8464178bab7e8ea94a391f6947b556be6754f9fc10b3c25fb"}, 391 | {file = "faiss_cpu-1.7.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7a238a0ef4d36c614d6f60e1ea308288b3920091638a3687f708de6071d007c1"}, 392 | {file = "faiss_cpu-1.7.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:af53bee502c629eaaaf8b5ec648484a726be0fd2768ad4ef2bd4b829384b2682"}, 393 | {file = "faiss_cpu-1.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:441d1c305595d925138f2cde63dabe8c10ee05fc8ad66bf750e278a7e8c409bd"}, 394 | {file = "faiss_cpu-1.7.3-cp38-cp38-win_amd64.whl", hash = "sha256:2766cc14b9004c1aae3b3943e693c3a9566eb1a25168b681981f9048276fe1e7"}, 395 | {file = "faiss_cpu-1.7.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:20ef191bb6164c8e794b11d20427568a75d15980b6d66732071e9aa57ea06e2d"}, 396 | {file = "faiss_cpu-1.7.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c57c293c4682066955626c2a2956be9a3b92594f69ed1a33abd72260a6911b69"}, 397 | {file = "faiss_cpu-1.7.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd128170446ff3c3e28d89e813d32cd04f17fa3025794778a01a0d81524275dc"}, 398 | {file = "faiss_cpu-1.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a14d832b5361ce9af21977eb1dcdebe23b9edcc12aad40316df7ca1bd86bc6b5"}, 399 | {file = "faiss_cpu-1.7.3-cp39-cp39-win_amd64.whl", hash = "sha256:52df8895c5e59d1c9eda368a63790381a6f7fceddb22bed08f9c90a706d8a148"}, 400 | ] 401 | 402 | [[package]] 403 | name = "flake8" 404 | version = "6.0.0" 405 | description = "the modular source code checker: pep8 pyflakes and co" 406 | category = "dev" 407 | optional = false 408 | python-versions = ">=3.8.1" 409 | files = [ 410 | {file = "flake8-6.0.0-py2.py3-none-any.whl", hash = "sha256:3833794e27ff64ea4e9cf5d410082a8b97ff1a06c16aa3d2027339cd0f1195c7"}, 411 | {file = "flake8-6.0.0.tar.gz", hash = "sha256:c61007e76655af75e6785a931f452915b371dc48f56efd765247c8fe68f2b181"}, 412 | ] 413 | 414 | [package.dependencies] 415 | mccabe = ">=0.7.0,<0.8.0" 416 | pycodestyle = ">=2.10.0,<2.11.0" 417 | pyflakes = ">=3.0.0,<3.1.0" 418 | 419 | [[package]] 420 | name = "frozenlist" 421 | version = "1.3.3" 422 | description = "A list-like structure which implements collections.abc.MutableSequence" 423 | category = "main" 424 | optional = false 425 | python-versions = ">=3.7" 426 | files = [ 427 | {file = "frozenlist-1.3.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff8bf625fe85e119553b5383ba0fb6aa3d0ec2ae980295aaefa552374926b3f4"}, 428 | {file = "frozenlist-1.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dfbac4c2dfcc082fcf8d942d1e49b6aa0766c19d3358bd86e2000bf0fa4a9cf0"}, 429 | {file = "frozenlist-1.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b1c63e8d377d039ac769cd0926558bb7068a1f7abb0f003e3717ee003ad85530"}, 430 | {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7fdfc24dcfce5b48109867c13b4cb15e4660e7bd7661741a391f821f23dfdca7"}, 431 | {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2c926450857408e42f0bbc295e84395722ce74bae69a3b2aa2a65fe22cb14b99"}, 432 | {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1841e200fdafc3d51f974d9d377c079a0694a8f06de2e67b48150328d66d5483"}, 433 | {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f470c92737afa7d4c3aacc001e335062d582053d4dbe73cda126f2d7031068dd"}, 434 | {file = "frozenlist-1.3.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:783263a4eaad7c49983fe4b2e7b53fa9770c136c270d2d4bbb6d2192bf4d9caf"}, 435 | {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:924620eef691990dfb56dc4709f280f40baee568c794b5c1885800c3ecc69816"}, 436 | {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:ae4dc05c465a08a866b7a1baf360747078b362e6a6dbeb0c57f234db0ef88ae0"}, 437 | {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:bed331fe18f58d844d39ceb398b77d6ac0b010d571cba8267c2e7165806b00ce"}, 438 | {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:02c9ac843e3390826a265e331105efeab489ffaf4dd86384595ee8ce6d35ae7f"}, 439 | {file = "frozenlist-1.3.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9545a33965d0d377b0bc823dcabf26980e77f1b6a7caa368a365a9497fb09420"}, 440 | {file = "frozenlist-1.3.3-cp310-cp310-win32.whl", hash = "sha256:d5cd3ab21acbdb414bb6c31958d7b06b85eeb40f66463c264a9b343a4e238642"}, 441 | {file = "frozenlist-1.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:b756072364347cb6aa5b60f9bc18e94b2f79632de3b0190253ad770c5df17db1"}, 442 | {file = "frozenlist-1.3.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:b4395e2f8d83fbe0c627b2b696acce67868793d7d9750e90e39592b3626691b7"}, 443 | {file = "frozenlist-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:14143ae966a6229350021384870458e4777d1eae4c28d1a7aa47f24d030e6678"}, 444 | {file = "frozenlist-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5d8860749e813a6f65bad8285a0520607c9500caa23fea6ee407e63debcdbef6"}, 445 | {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23d16d9f477bb55b6154654e0e74557040575d9d19fe78a161bd33d7d76808e8"}, 446 | {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eb82dbba47a8318e75f679690190c10a5e1f447fbf9df41cbc4c3afd726d88cb"}, 447 | {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9309869032abb23d196cb4e4db574232abe8b8be1339026f489eeb34a4acfd91"}, 448 | {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a97b4fe50b5890d36300820abd305694cb865ddb7885049587a5678215782a6b"}, 449 | {file = "frozenlist-1.3.3-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c188512b43542b1e91cadc3c6c915a82a5eb95929134faf7fd109f14f9892ce4"}, 450 | {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:303e04d422e9b911a09ad499b0368dc551e8c3cd15293c99160c7f1f07b59a48"}, 451 | {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:0771aed7f596c7d73444c847a1c16288937ef988dc04fb9f7be4b2aa91db609d"}, 452 | {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:66080ec69883597e4d026f2f71a231a1ee9887835902dbe6b6467d5a89216cf6"}, 453 | {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:41fe21dc74ad3a779c3d73a2786bdf622ea81234bdd4faf90b8b03cad0c2c0b4"}, 454 | {file = "frozenlist-1.3.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f20380df709d91525e4bee04746ba612a4df0972c1b8f8e1e8af997e678c7b81"}, 455 | {file = "frozenlist-1.3.3-cp311-cp311-win32.whl", hash = "sha256:f30f1928162e189091cf4d9da2eac617bfe78ef907a761614ff577ef4edfb3c8"}, 456 | {file = "frozenlist-1.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:a6394d7dadd3cfe3f4b3b186e54d5d8504d44f2d58dcc89d693698e8b7132b32"}, 457 | {file = "frozenlist-1.3.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8df3de3a9ab8325f94f646609a66cbeeede263910c5c0de0101079ad541af332"}, 458 | {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0693c609e9742c66ba4870bcee1ad5ff35462d5ffec18710b4ac89337ff16e27"}, 459 | {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cd4210baef299717db0a600d7a3cac81d46ef0e007f88c9335db79f8979c0d3d"}, 460 | {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:394c9c242113bfb4b9aa36e2b80a05ffa163a30691c7b5a29eba82e937895d5e"}, 461 | {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6327eb8e419f7d9c38f333cde41b9ae348bec26d840927332f17e887a8dcb70d"}, 462 | {file = "frozenlist-1.3.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e24900aa13212e75e5b366cb9065e78bbf3893d4baab6052d1aca10d46d944c"}, 463 | {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:3843f84a6c465a36559161e6c59dce2f2ac10943040c2fd021cfb70d58c4ad56"}, 464 | {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:84610c1502b2461255b4c9b7d5e9c48052601a8957cd0aea6ec7a7a1e1fb9420"}, 465 | {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:c21b9aa40e08e4f63a2f92ff3748e6b6c84d717d033c7b3438dd3123ee18f70e"}, 466 | {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:efce6ae830831ab6a22b9b4091d411698145cb9b8fc869e1397ccf4b4b6455cb"}, 467 | {file = "frozenlist-1.3.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:40de71985e9042ca00b7953c4f41eabc3dc514a2d1ff534027f091bc74416401"}, 468 | {file = "frozenlist-1.3.3-cp37-cp37m-win32.whl", hash = "sha256:180c00c66bde6146a860cbb81b54ee0df350d2daf13ca85b275123bbf85de18a"}, 469 | {file = "frozenlist-1.3.3-cp37-cp37m-win_amd64.whl", hash = "sha256:9bbbcedd75acdfecf2159663b87f1bb5cfc80e7cd99f7ddd9d66eb98b14a8411"}, 470 | {file = "frozenlist-1.3.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:034a5c08d36649591be1cbb10e09da9f531034acfe29275fc5454a3b101ce41a"}, 471 | {file = "frozenlist-1.3.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ba64dc2b3b7b158c6660d49cdb1d872d1d0bf4e42043ad8d5006099479a194e5"}, 472 | {file = "frozenlist-1.3.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:47df36a9fe24054b950bbc2db630d508cca3aa27ed0566c0baf661225e52c18e"}, 473 | {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:008a054b75d77c995ea26629ab3a0c0d7281341f2fa7e1e85fa6153ae29ae99c"}, 474 | {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:841ea19b43d438a80b4de62ac6ab21cfe6827bb8a9dc62b896acc88eaf9cecba"}, 475 | {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e235688f42b36be2b6b06fc37ac2126a73b75fb8d6bc66dd632aa35286238703"}, 476 | {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca713d4af15bae6e5d79b15c10c8522859a9a89d3b361a50b817c98c2fb402a2"}, 477 | {file = "frozenlist-1.3.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ac5995f2b408017b0be26d4a1d7c61bce106ff3d9e3324374d66b5964325448"}, 478 | {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:a4ae8135b11652b08a8baf07631d3ebfe65a4c87909dbef5fa0cdde440444ee4"}, 479 | {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:4ea42116ceb6bb16dbb7d526e242cb6747b08b7710d9782aa3d6732bd8d27649"}, 480 | {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:810860bb4bdce7557bc0febb84bbd88198b9dbc2022d8eebe5b3590b2ad6c842"}, 481 | {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:ee78feb9d293c323b59a6f2dd441b63339a30edf35abcb51187d2fc26e696d13"}, 482 | {file = "frozenlist-1.3.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0af2e7c87d35b38732e810befb9d797a99279cbb85374d42ea61c1e9d23094b3"}, 483 | {file = "frozenlist-1.3.3-cp38-cp38-win32.whl", hash = "sha256:899c5e1928eec13fd6f6d8dc51be23f0d09c5281e40d9cf4273d188d9feeaf9b"}, 484 | {file = "frozenlist-1.3.3-cp38-cp38-win_amd64.whl", hash = "sha256:7f44e24fa70f6fbc74aeec3e971f60a14dde85da364aa87f15d1be94ae75aeef"}, 485 | {file = "frozenlist-1.3.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:2b07ae0c1edaa0a36339ec6cce700f51b14a3fc6545fdd32930d2c83917332cf"}, 486 | {file = "frozenlist-1.3.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ebb86518203e12e96af765ee89034a1dbb0c3c65052d1b0c19bbbd6af8a145e1"}, 487 | {file = "frozenlist-1.3.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5cf820485f1b4c91e0417ea0afd41ce5cf5965011b3c22c400f6d144296ccbc0"}, 488 | {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c11e43016b9024240212d2a65043b70ed8dfd3b52678a1271972702d990ac6d"}, 489 | {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8fa3c6e3305aa1146b59a09b32b2e04074945ffcfb2f0931836d103a2c38f936"}, 490 | {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:352bd4c8c72d508778cf05ab491f6ef36149f4d0cb3c56b1b4302852255d05d5"}, 491 | {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:65a5e4d3aa679610ac6e3569e865425b23b372277f89b5ef06cf2cdaf1ebf22b"}, 492 | {file = "frozenlist-1.3.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1e2c1185858d7e10ff045c496bbf90ae752c28b365fef2c09cf0fa309291669"}, 493 | {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f163d2fd041c630fed01bc48d28c3ed4a3b003c00acd396900e11ee5316b56bb"}, 494 | {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:05cdb16d09a0832eedf770cb7bd1fe57d8cf4eaf5aced29c4e41e3f20b30a784"}, 495 | {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:8bae29d60768bfa8fb92244b74502b18fae55a80eac13c88eb0b496d4268fd2d"}, 496 | {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:eedab4c310c0299961ac285591acd53dc6723a1ebd90a57207c71f6e0c2153ab"}, 497 | {file = "frozenlist-1.3.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3bbdf44855ed8f0fbcd102ef05ec3012d6a4fd7c7562403f76ce6a52aeffb2b1"}, 498 | {file = "frozenlist-1.3.3-cp39-cp39-win32.whl", hash = "sha256:efa568b885bca461f7c7b9e032655c0c143d305bf01c30caf6db2854a4532b38"}, 499 | {file = "frozenlist-1.3.3-cp39-cp39-win_amd64.whl", hash = "sha256:cfe33efc9cb900a4c46f91a5ceba26d6df370ffddd9ca386eb1d4f0ad97b9ea9"}, 500 | {file = "frozenlist-1.3.3.tar.gz", hash = "sha256:58bcc55721e8a90b88332d6cd441261ebb22342e238296bb330968952fbb3a6a"}, 501 | ] 502 | 503 | [[package]] 504 | name = "google-search-results" 505 | version = "2.4.2" 506 | description = "Scrape and search localized results from Google, Bing, Baidu, Yahoo, Yandex, Ebay, Homedepot, youtube at scale using SerpApi.com" 507 | category = "main" 508 | optional = false 509 | python-versions = ">=3.5" 510 | files = [ 511 | {file = "google_search_results-2.4.2.tar.gz", hash = "sha256:603a30ecae2af8e600b22635757a6df275dad4b934f975e67878ccd640b78245"}, 512 | ] 513 | 514 | [package.dependencies] 515 | requests = "*" 516 | 517 | [[package]] 518 | name = "greenlet" 519 | version = "2.0.2" 520 | description = "Lightweight in-process concurrent programming" 521 | category = "main" 522 | optional = false 523 | python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*" 524 | files = [ 525 | {file = "greenlet-2.0.2-cp27-cp27m-macosx_10_14_x86_64.whl", hash = "sha256:bdfea8c661e80d3c1c99ad7c3ff74e6e87184895bbaca6ee8cc61209f8b9b85d"}, 526 | {file = "greenlet-2.0.2-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:9d14b83fab60d5e8abe587d51c75b252bcc21683f24699ada8fb275d7712f5a9"}, 527 | {file = "greenlet-2.0.2-cp27-cp27m-win32.whl", hash = "sha256:6c3acb79b0bfd4fe733dff8bc62695283b57949ebcca05ae5c129eb606ff2d74"}, 528 | {file = "greenlet-2.0.2-cp27-cp27m-win_amd64.whl", hash = "sha256:283737e0da3f08bd637b5ad058507e578dd462db259f7f6e4c5c365ba4ee9343"}, 529 | {file = "greenlet-2.0.2-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:d27ec7509b9c18b6d73f2f5ede2622441de812e7b1a80bbd446cb0633bd3d5ae"}, 530 | {file = "greenlet-2.0.2-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:30bcf80dda7f15ac77ba5af2b961bdd9dbc77fd4ac6105cee85b0d0a5fcf74df"}, 531 | {file = "greenlet-2.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:26fbfce90728d82bc9e6c38ea4d038cba20b7faf8a0ca53a9c07b67318d46088"}, 532 | {file = "greenlet-2.0.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9190f09060ea4debddd24665d6804b995a9c122ef5917ab26e1566dcc712ceeb"}, 533 | {file = "greenlet-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d75209eed723105f9596807495d58d10b3470fa6732dd6756595e89925ce2470"}, 534 | {file = "greenlet-2.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3a51c9751078733d88e013587b108f1b7a1fb106d402fb390740f002b6f6551a"}, 535 | {file = "greenlet-2.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:76ae285c8104046b3a7f06b42f29c7b73f77683df18c49ab5af7983994c2dd91"}, 536 | {file = "greenlet-2.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:2d4686f195e32d36b4d7cf2d166857dbd0ee9f3d20ae349b6bf8afc8485b3645"}, 537 | {file = "greenlet-2.0.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c4302695ad8027363e96311df24ee28978162cdcdd2006476c43970b384a244c"}, 538 | {file = "greenlet-2.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c48f54ef8e05f04d6eff74b8233f6063cb1ed960243eacc474ee73a2ea8573ca"}, 539 | {file = "greenlet-2.0.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a1846f1b999e78e13837c93c778dcfc3365902cfb8d1bdb7dd73ead37059f0d0"}, 540 | {file = "greenlet-2.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a06ad5312349fec0ab944664b01d26f8d1f05009566339ac6f63f56589bc1a2"}, 541 | {file = "greenlet-2.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:eff4eb9b7eb3e4d0cae3d28c283dc16d9bed6b193c2e1ace3ed86ce48ea8df19"}, 542 | {file = "greenlet-2.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5454276c07d27a740c5892f4907c86327b632127dd9abec42ee62e12427ff7e3"}, 543 | {file = "greenlet-2.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:7cafd1208fdbe93b67c7086876f061f660cfddc44f404279c1585bbf3cdc64c5"}, 544 | {file = "greenlet-2.0.2-cp35-cp35m-macosx_10_14_x86_64.whl", hash = "sha256:910841381caba4f744a44bf81bfd573c94e10b3045ee00de0cbf436fe50673a6"}, 545 | {file = "greenlet-2.0.2-cp35-cp35m-manylinux2010_x86_64.whl", hash = "sha256:18a7f18b82b52ee85322d7a7874e676f34ab319b9f8cce5de06067384aa8ff43"}, 546 | {file = "greenlet-2.0.2-cp35-cp35m-win32.whl", hash = "sha256:03a8f4f3430c3b3ff8d10a2a86028c660355ab637cee9333d63d66b56f09d52a"}, 547 | {file = "greenlet-2.0.2-cp35-cp35m-win_amd64.whl", hash = "sha256:4b58adb399c4d61d912c4c331984d60eb66565175cdf4a34792cd9600f21b394"}, 548 | {file = "greenlet-2.0.2-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:703f18f3fda276b9a916f0934d2fb6d989bf0b4fb5a64825260eb9bfd52d78f0"}, 549 | {file = "greenlet-2.0.2-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:32e5b64b148966d9cccc2c8d35a671409e45f195864560829f395a54226408d3"}, 550 | {file = "greenlet-2.0.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2dd11f291565a81d71dab10b7033395b7a3a5456e637cf997a6f33ebdf06f8db"}, 551 | {file = "greenlet-2.0.2-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e0f72c9ddb8cd28532185f54cc1453f2c16fb417a08b53a855c4e6a418edd099"}, 552 | {file = "greenlet-2.0.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd021c754b162c0fb55ad5d6b9d960db667faad0fa2ff25bb6e1301b0b6e6a75"}, 553 | {file = "greenlet-2.0.2-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:3c9b12575734155d0c09d6c3e10dbd81665d5c18e1a7c6597df72fd05990c8cf"}, 554 | {file = "greenlet-2.0.2-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:b9ec052b06a0524f0e35bd8790686a1da006bd911dd1ef7d50b77bfbad74e292"}, 555 | {file = "greenlet-2.0.2-cp36-cp36m-win32.whl", hash = "sha256:dbfcfc0218093a19c252ca8eb9aee3d29cfdcb586df21049b9d777fd32c14fd9"}, 556 | {file = "greenlet-2.0.2-cp36-cp36m-win_amd64.whl", hash = "sha256:9f35ec95538f50292f6d8f2c9c9f8a3c6540bbfec21c9e5b4b751e0a7c20864f"}, 557 | {file = "greenlet-2.0.2-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:d5508f0b173e6aa47273bdc0a0b5ba055b59662ba7c7ee5119528f466585526b"}, 558 | {file = "greenlet-2.0.2-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:f82d4d717d8ef19188687aa32b8363e96062911e63ba22a0cff7802a8e58e5f1"}, 559 | {file = "greenlet-2.0.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9c59a2120b55788e800d82dfa99b9e156ff8f2227f07c5e3012a45a399620b7"}, 560 | {file = "greenlet-2.0.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2780572ec463d44c1d3ae850239508dbeb9fed38e294c68d19a24d925d9223ca"}, 561 | {file = "greenlet-2.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:937e9020b514ceedb9c830c55d5c9872abc90f4b5862f89c0887033ae33c6f73"}, 562 | {file = "greenlet-2.0.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:36abbf031e1c0f79dd5d596bfaf8e921c41df2bdf54ee1eed921ce1f52999a86"}, 563 | {file = "greenlet-2.0.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:18e98fb3de7dba1c0a852731c3070cf022d14f0d68b4c87a19cc1016f3bb8b33"}, 564 | {file = "greenlet-2.0.2-cp37-cp37m-win32.whl", hash = "sha256:3f6ea9bd35eb450837a3d80e77b517ea5bc56b4647f5502cd28de13675ee12f7"}, 565 | {file = "greenlet-2.0.2-cp37-cp37m-win_amd64.whl", hash = "sha256:7492e2b7bd7c9b9916388d9df23fa49d9b88ac0640db0a5b4ecc2b653bf451e3"}, 566 | {file = "greenlet-2.0.2-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:b864ba53912b6c3ab6bcb2beb19f19edd01a6bfcbdfe1f37ddd1778abfe75a30"}, 567 | {file = "greenlet-2.0.2-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:ba2956617f1c42598a308a84c6cf021a90ff3862eddafd20c3333d50f0edb45b"}, 568 | {file = "greenlet-2.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc3a569657468b6f3fb60587e48356fe512c1754ca05a564f11366ac9e306526"}, 569 | {file = "greenlet-2.0.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8eab883b3b2a38cc1e050819ef06a7e6344d4a990d24d45bc6f2cf959045a45b"}, 570 | {file = "greenlet-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:acd2162a36d3de67ee896c43effcd5ee3de247eb00354db411feb025aa319857"}, 571 | {file = "greenlet-2.0.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:0bf60faf0bc2468089bdc5edd10555bab6e85152191df713e2ab1fcc86382b5a"}, 572 | {file = "greenlet-2.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b0ef99cdbe2b682b9ccbb964743a6aca37905fda5e0452e5ee239b1654d37f2a"}, 573 | {file = "greenlet-2.0.2-cp38-cp38-win32.whl", hash = "sha256:b80f600eddddce72320dbbc8e3784d16bd3fb7b517e82476d8da921f27d4b249"}, 574 | {file = "greenlet-2.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:4d2e11331fc0c02b6e84b0d28ece3a36e0548ee1a1ce9ddde03752d9b79bba40"}, 575 | {file = "greenlet-2.0.2-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:88d9ab96491d38a5ab7c56dd7a3cc37d83336ecc564e4e8816dbed12e5aaefc8"}, 576 | {file = "greenlet-2.0.2-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:561091a7be172ab497a3527602d467e2b3fbe75f9e783d8b8ce403fa414f71a6"}, 577 | {file = "greenlet-2.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:971ce5e14dc5e73715755d0ca2975ac88cfdaefcaab078a284fea6cfabf866df"}, 578 | {file = "greenlet-2.0.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:be4ed120b52ae4d974aa40215fcdfde9194d63541c7ded40ee12eb4dda57b76b"}, 579 | {file = "greenlet-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94c817e84245513926588caf1152e3b559ff794d505555211ca041f032abbb6b"}, 580 | {file = "greenlet-2.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:1a819eef4b0e0b96bb0d98d797bef17dc1b4a10e8d7446be32d1da33e095dbb8"}, 581 | {file = "greenlet-2.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:7efde645ca1cc441d6dc4b48c0f7101e8d86b54c8530141b09fd31cef5149ec9"}, 582 | {file = "greenlet-2.0.2-cp39-cp39-win32.whl", hash = "sha256:ea9872c80c132f4663822dd2a08d404073a5a9b5ba6155bea72fb2a79d1093b5"}, 583 | {file = "greenlet-2.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:db1a39669102a1d8d12b57de2bb7e2ec9066a6f2b3da35ae511ff93b01b5d564"}, 584 | {file = "greenlet-2.0.2.tar.gz", hash = "sha256:e7c8dc13af7db097bed64a051d2dd49e9f0af495c26995c00a9ee842690d34c0"}, 585 | ] 586 | 587 | [package.extras] 588 | docs = ["Sphinx", "docutils (<0.18)"] 589 | test = ["objgraph", "psutil"] 590 | 591 | [[package]] 592 | name = "idna" 593 | version = "3.4" 594 | description = "Internationalized Domain Names in Applications (IDNA)" 595 | category = "main" 596 | optional = false 597 | python-versions = ">=3.5" 598 | files = [ 599 | {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"}, 600 | {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"}, 601 | ] 602 | 603 | [[package]] 604 | name = "iniconfig" 605 | version = "2.0.0" 606 | description = "brain-dead simple config-ini parsing" 607 | category = "dev" 608 | optional = false 609 | python-versions = ">=3.7" 610 | files = [ 611 | {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, 612 | {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, 613 | ] 614 | 615 | [[package]] 616 | name = "isort" 617 | version = "5.12.0" 618 | description = "A Python utility / library to sort Python imports." 619 | category = "dev" 620 | optional = false 621 | python-versions = ">=3.8.0" 622 | files = [ 623 | {file = "isort-5.12.0-py3-none-any.whl", hash = "sha256:f84c2818376e66cf843d497486ea8fed8700b340f308f076c6fb1229dff318b6"}, 624 | {file = "isort-5.12.0.tar.gz", hash = "sha256:8bef7dde241278824a6d83f44a544709b065191b95b6e50894bdc722fcba0504"}, 625 | ] 626 | 627 | [package.extras] 628 | colors = ["colorama (>=0.4.3)"] 629 | pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"] 630 | plugins = ["setuptools"] 631 | requirements-deprecated-finder = ["pip-api", "pipreqs"] 632 | 633 | [[package]] 634 | name = "langchain" 635 | version = "0.0.144" 636 | description = "Building applications with LLMs through composability" 637 | category = "main" 638 | optional = false 639 | python-versions = ">=3.8.1,<4.0" 640 | files = [ 641 | {file = "langchain-0.0.144-py3-none-any.whl", hash = "sha256:70580043a7fb774376d296db8fab498b17af4a9172de6a46103946fc03492c3c"}, 642 | {file = "langchain-0.0.144.tar.gz", hash = "sha256:b92795b7cf81e5d27beb5d7ee6c29dd14d5df932d22a681606f15b4d6fafdd0d"}, 643 | ] 644 | 645 | [package.dependencies] 646 | aiohttp = ">=3.8.3,<4.0.0" 647 | async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""} 648 | dataclasses-json = ">=0.5.7,<0.6.0" 649 | numexpr = ">=2.8.4,<3.0.0" 650 | numpy = ">=1,<2" 651 | openapi-schema-pydantic = ">=1.2,<2.0" 652 | pydantic = ">=1,<2" 653 | PyYAML = ">=5.4.1" 654 | requests = ">=2,<3" 655 | SQLAlchemy = ">=1,<2" 656 | tenacity = ">=8.1.0,<9.0.0" 657 | 658 | [package.extras] 659 | all = ["aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.2.6,<0.3.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "cohere (>=3,<4)", "deeplake (>=3.2.21,<4.0.0)", "elasticsearch (>=8,<9)", "faiss-cpu (>=1,<2)", "google-api-python-client (==2.70.0)", "google-search-results (>=2,<3)", "gptcache (>=0.1.7)", "html2text (>=2020.1.16,<2021.0.0)", "huggingface_hub (>=0,<1)", "jina (>=3.14,<4.0)", "jinja2 (>=3,<4)", "manifest-ml (>=0.0.1,<0.0.2)", "networkx (>=2.6.3,<3.0.0)", "nlpcloud (>=1,<2)", "nltk (>=3,<4)", "nomic (>=1.0.43,<2.0.0)", "openai (>=0,<1)", "opensearch-py (>=2.0.0,<3.0.0)", "pgvector (>=0.1.6,<0.2.0)", "pinecone-client (>=2,<3)", "pinecone-text (>=0.4.2,<0.5.0)", "psycopg2-binary (>=2.9.5,<3.0.0)", "pyowm (>=3.3.0,<4.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pytesseract (>=0.3.10,<0.4.0)", "qdrant-client (>=1.1.2,<2.0.0)", "redis (>=4,<5)", "sentence-transformers (>=2,<3)", "spacy (>=3,<4)", "tensorflow-text (>=2.11.0,<3.0.0)", "tiktoken (>=0.3.2,<0.4.0)", "torch (>=1,<3)", "transformers (>=4,<5)", "weaviate-client (>=3,<4)", "wikipedia (>=1,<2)", "wolframalpha (==5.0.0)"] 660 | cohere = ["cohere (>=3,<4)"] 661 | llms = ["anthropic (>=0.2.6,<0.3.0)", "cohere (>=3,<4)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (>=0,<1)", "torch (>=1,<3)", "transformers (>=4,<5)"] 662 | openai = ["openai (>=0,<1)"] 663 | qdrant = ["qdrant-client (>=1.1.2,<2.0.0)"] 664 | 665 | [[package]] 666 | name = "marshmallow" 667 | version = "3.19.0" 668 | description = "A lightweight library for converting complex datatypes to and from native Python datatypes." 669 | category = "main" 670 | optional = false 671 | python-versions = ">=3.7" 672 | files = [ 673 | {file = "marshmallow-3.19.0-py3-none-any.whl", hash = "sha256:93f0958568da045b0021ec6aeb7ac37c81bfcccbb9a0e7ed8559885070b3a19b"}, 674 | {file = "marshmallow-3.19.0.tar.gz", hash = "sha256:90032c0fd650ce94b6ec6dc8dfeb0e3ff50c144586462c389b81a07205bedb78"}, 675 | ] 676 | 677 | [package.dependencies] 678 | packaging = ">=17.0" 679 | 680 | [package.extras] 681 | dev = ["flake8 (==5.0.4)", "flake8-bugbear (==22.10.25)", "mypy (==0.990)", "pre-commit (>=2.4,<3.0)", "pytest", "pytz", "simplejson", "tox"] 682 | docs = ["alabaster (==0.7.12)", "autodocsumm (==0.2.9)", "sphinx (==5.3.0)", "sphinx-issues (==3.0.1)", "sphinx-version-warning (==1.1.2)"] 683 | lint = ["flake8 (==5.0.4)", "flake8-bugbear (==22.10.25)", "mypy (==0.990)", "pre-commit (>=2.4,<3.0)"] 684 | tests = ["pytest", "pytz", "simplejson"] 685 | 686 | [[package]] 687 | name = "marshmallow-enum" 688 | version = "1.5.1" 689 | description = "Enum field for Marshmallow" 690 | category = "main" 691 | optional = false 692 | python-versions = "*" 693 | files = [ 694 | {file = "marshmallow-enum-1.5.1.tar.gz", hash = "sha256:38e697e11f45a8e64b4a1e664000897c659b60aa57bfa18d44e226a9920b6e58"}, 695 | {file = "marshmallow_enum-1.5.1-py2.py3-none-any.whl", hash = "sha256:57161ab3dbfde4f57adeb12090f39592e992b9c86d206d02f6bd03ebec60f072"}, 696 | ] 697 | 698 | [package.dependencies] 699 | marshmallow = ">=2.0.0" 700 | 701 | [[package]] 702 | name = "mccabe" 703 | version = "0.7.0" 704 | description = "McCabe checker, plugin for flake8" 705 | category = "dev" 706 | optional = false 707 | python-versions = ">=3.6" 708 | files = [ 709 | {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"}, 710 | {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"}, 711 | ] 712 | 713 | [[package]] 714 | name = "multidict" 715 | version = "6.0.4" 716 | description = "multidict implementation" 717 | category = "main" 718 | optional = false 719 | python-versions = ">=3.7" 720 | files = [ 721 | {file = "multidict-6.0.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b1a97283e0c85772d613878028fec909f003993e1007eafa715b24b377cb9b8"}, 722 | {file = "multidict-6.0.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:eeb6dcc05e911516ae3d1f207d4b0520d07f54484c49dfc294d6e7d63b734171"}, 723 | {file = "multidict-6.0.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d6d635d5209b82a3492508cf5b365f3446afb65ae7ebd755e70e18f287b0adf7"}, 724 | {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c048099e4c9e9d615545e2001d3d8a4380bd403e1a0578734e0d31703d1b0c0b"}, 725 | {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ea20853c6dbbb53ed34cb4d080382169b6f4554d394015f1bef35e881bf83547"}, 726 | {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:16d232d4e5396c2efbbf4f6d4df89bfa905eb0d4dc5b3549d872ab898451f569"}, 727 | {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36c63aaa167f6c6b04ef2c85704e93af16c11d20de1d133e39de6a0e84582a93"}, 728 | {file = "multidict-6.0.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:64bdf1086b6043bf519869678f5f2757f473dee970d7abf6da91ec00acb9cb98"}, 729 | {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:43644e38f42e3af682690876cff722d301ac585c5b9e1eacc013b7a3f7b696a0"}, 730 | {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:7582a1d1030e15422262de9f58711774e02fa80df0d1578995c76214f6954988"}, 731 | {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:ddff9c4e225a63a5afab9dd15590432c22e8057e1a9a13d28ed128ecf047bbdc"}, 732 | {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:ee2a1ece51b9b9e7752e742cfb661d2a29e7bcdba2d27e66e28a99f1890e4fa0"}, 733 | {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a2e4369eb3d47d2034032a26c7a80fcb21a2cb22e1173d761a162f11e562caa5"}, 734 | {file = "multidict-6.0.4-cp310-cp310-win32.whl", hash = "sha256:574b7eae1ab267e5f8285f0fe881f17efe4b98c39a40858247720935b893bba8"}, 735 | {file = "multidict-6.0.4-cp310-cp310-win_amd64.whl", hash = "sha256:4dcbb0906e38440fa3e325df2359ac6cb043df8e58c965bb45f4e406ecb162cc"}, 736 | {file = "multidict-6.0.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0dfad7a5a1e39c53ed00d2dd0c2e36aed4650936dc18fd9a1826a5ae1cad6f03"}, 737 | {file = "multidict-6.0.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:64da238a09d6039e3bd39bb3aee9c21a5e34f28bfa5aa22518581f910ff94af3"}, 738 | {file = "multidict-6.0.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ff959bee35038c4624250473988b24f846cbeb2c6639de3602c073f10410ceba"}, 739 | {file = "multidict-6.0.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:01a3a55bd90018c9c080fbb0b9f4891db37d148a0a18722b42f94694f8b6d4c9"}, 740 | {file = "multidict-6.0.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c5cb09abb18c1ea940fb99360ea0396f34d46566f157122c92dfa069d3e0e982"}, 741 | {file = "multidict-6.0.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:666daae833559deb2d609afa4490b85830ab0dfca811a98b70a205621a6109fe"}, 742 | {file = "multidict-6.0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11bdf3f5e1518b24530b8241529d2050014c884cf18b6fc69c0c2b30ca248710"}, 743 | {file = "multidict-6.0.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d18748f2d30f94f498e852c67d61261c643b349b9d2a581131725595c45ec6c"}, 744 | {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:458f37be2d9e4c95e2d8866a851663cbc76e865b78395090786f6cd9b3bbf4f4"}, 745 | {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:b1a2eeedcead3a41694130495593a559a668f382eee0727352b9a41e1c45759a"}, 746 | {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:7d6ae9d593ef8641544d6263c7fa6408cc90370c8cb2bbb65f8d43e5b0351d9c"}, 747 | {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:5979b5632c3e3534e42ca6ff856bb24b2e3071b37861c2c727ce220d80eee9ed"}, 748 | {file = "multidict-6.0.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:dcfe792765fab89c365123c81046ad4103fcabbc4f56d1c1997e6715e8015461"}, 749 | {file = "multidict-6.0.4-cp311-cp311-win32.whl", hash = "sha256:3601a3cece3819534b11d4efc1eb76047488fddd0c85a3948099d5da4d504636"}, 750 | {file = "multidict-6.0.4-cp311-cp311-win_amd64.whl", hash = "sha256:81a4f0b34bd92df3da93315c6a59034df95866014ac08535fc819f043bfd51f0"}, 751 | {file = "multidict-6.0.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:67040058f37a2a51ed8ea8f6b0e6ee5bd78ca67f169ce6122f3e2ec80dfe9b78"}, 752 | {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:853888594621e6604c978ce2a0444a1e6e70c8d253ab65ba11657659dcc9100f"}, 753 | {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:39ff62e7d0f26c248b15e364517a72932a611a9b75f35b45be078d81bdb86603"}, 754 | {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:af048912e045a2dc732847d33821a9d84ba553f5c5f028adbd364dd4765092ac"}, 755 | {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1e8b901e607795ec06c9e42530788c45ac21ef3aaa11dbd0c69de543bfb79a9"}, 756 | {file = "multidict-6.0.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62501642008a8b9871ddfccbf83e4222cf8ac0d5aeedf73da36153ef2ec222d2"}, 757 | {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:99b76c052e9f1bc0721f7541e5e8c05db3941eb9ebe7b8553c625ef88d6eefde"}, 758 | {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:509eac6cf09c794aa27bcacfd4d62c885cce62bef7b2c3e8b2e49d365b5003fe"}, 759 | {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:21a12c4eb6ddc9952c415f24eef97e3e55ba3af61f67c7bc388dcdec1404a067"}, 760 | {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:5cad9430ab3e2e4fa4a2ef4450f548768400a2ac635841bc2a56a2052cdbeb87"}, 761 | {file = "multidict-6.0.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ab55edc2e84460694295f401215f4a58597f8f7c9466faec545093045476327d"}, 762 | {file = "multidict-6.0.4-cp37-cp37m-win32.whl", hash = "sha256:5a4dcf02b908c3b8b17a45fb0f15b695bf117a67b76b7ad18b73cf8e92608775"}, 763 | {file = "multidict-6.0.4-cp37-cp37m-win_amd64.whl", hash = "sha256:6ed5f161328b7df384d71b07317f4d8656434e34591f20552c7bcef27b0ab88e"}, 764 | {file = "multidict-6.0.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5fc1b16f586f049820c5c5b17bb4ee7583092fa0d1c4e28b5239181ff9532e0c"}, 765 | {file = "multidict-6.0.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1502e24330eb681bdaa3eb70d6358e818e8e8f908a22a1851dfd4e15bc2f8161"}, 766 | {file = "multidict-6.0.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b692f419760c0e65d060959df05f2a531945af31fda0c8a3b3195d4efd06de11"}, 767 | {file = "multidict-6.0.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45e1ecb0379bfaab5eef059f50115b54571acfbe422a14f668fc8c27ba410e7e"}, 768 | {file = "multidict-6.0.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ddd3915998d93fbcd2566ddf9cf62cdb35c9e093075f862935573d265cf8f65d"}, 769 | {file = "multidict-6.0.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:59d43b61c59d82f2effb39a93c48b845efe23a3852d201ed2d24ba830d0b4cf2"}, 770 | {file = "multidict-6.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc8e1d0c705233c5dd0c5e6460fbad7827d5d36f310a0fadfd45cc3029762258"}, 771 | {file = "multidict-6.0.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6aa0418fcc838522256761b3415822626f866758ee0bc6632c9486b179d0b52"}, 772 | {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6748717bb10339c4760c1e63da040f5f29f5ed6e59d76daee30305894069a660"}, 773 | {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:4d1a3d7ef5e96b1c9e92f973e43aa5e5b96c659c9bc3124acbbd81b0b9c8a951"}, 774 | {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4372381634485bec7e46718edc71528024fcdc6f835baefe517b34a33c731d60"}, 775 | {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:fc35cb4676846ef752816d5be2193a1e8367b4c1397b74a565a9d0389c433a1d"}, 776 | {file = "multidict-6.0.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:4b9d9e4e2b37daddb5c23ea33a3417901fa7c7b3dee2d855f63ee67a0b21e5b1"}, 777 | {file = "multidict-6.0.4-cp38-cp38-win32.whl", hash = "sha256:e41b7e2b59679edfa309e8db64fdf22399eec4b0b24694e1b2104fb789207779"}, 778 | {file = "multidict-6.0.4-cp38-cp38-win_amd64.whl", hash = "sha256:d6c254ba6e45d8e72739281ebc46ea5eb5f101234f3ce171f0e9f5cc86991480"}, 779 | {file = "multidict-6.0.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:16ab77bbeb596e14212e7bab8429f24c1579234a3a462105cda4a66904998664"}, 780 | {file = "multidict-6.0.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bc779e9e6f7fda81b3f9aa58e3a6091d49ad528b11ed19f6621408806204ad35"}, 781 | {file = "multidict-6.0.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4ceef517eca3e03c1cceb22030a3e39cb399ac86bff4e426d4fc6ae49052cc60"}, 782 | {file = "multidict-6.0.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:281af09f488903fde97923c7744bb001a9b23b039a909460d0f14edc7bf59706"}, 783 | {file = "multidict-6.0.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:52f2dffc8acaba9a2f27174c41c9e57f60b907bb9f096b36b1a1f3be71c6284d"}, 784 | {file = "multidict-6.0.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b41156839806aecb3641f3208c0dafd3ac7775b9c4c422d82ee2a45c34ba81ca"}, 785 | {file = "multidict-6.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d5e3fc56f88cc98ef8139255cf8cd63eb2c586531e43310ff859d6bb3a6b51f1"}, 786 | {file = "multidict-6.0.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8316a77808c501004802f9beebde51c9f857054a0c871bd6da8280e718444449"}, 787 | {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f70b98cd94886b49d91170ef23ec5c0e8ebb6f242d734ed7ed677b24d50c82cf"}, 788 | {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bf6774e60d67a9efe02b3616fee22441d86fab4c6d335f9d2051d19d90a40063"}, 789 | {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:e69924bfcdda39b722ef4d9aa762b2dd38e4632b3641b1d9a57ca9cd18f2f83a"}, 790 | {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:6b181d8c23da913d4ff585afd1155a0e1194c0b50c54fcfe286f70cdaf2b7176"}, 791 | {file = "multidict-6.0.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:52509b5be062d9eafc8170e53026fbc54cf3b32759a23d07fd935fb04fc22d95"}, 792 | {file = "multidict-6.0.4-cp39-cp39-win32.whl", hash = "sha256:27c523fbfbdfd19c6867af7346332b62b586eed663887392cff78d614f9ec313"}, 793 | {file = "multidict-6.0.4-cp39-cp39-win_amd64.whl", hash = "sha256:33029f5734336aa0d4c0384525da0387ef89148dc7191aae00ca5fb23d7aafc2"}, 794 | {file = "multidict-6.0.4.tar.gz", hash = "sha256:3666906492efb76453c0e7b97f2cf459b0682e7402c0489a95484965dbc1da49"}, 795 | ] 796 | 797 | [[package]] 798 | name = "mypy-extensions" 799 | version = "1.0.0" 800 | description = "Type system extensions for programs checked with the mypy type checker." 801 | category = "main" 802 | optional = false 803 | python-versions = ">=3.5" 804 | files = [ 805 | {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"}, 806 | {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"}, 807 | ] 808 | 809 | [[package]] 810 | name = "numexpr" 811 | version = "2.8.4" 812 | description = "Fast numerical expression evaluator for NumPy" 813 | category = "main" 814 | optional = false 815 | python-versions = ">=3.7" 816 | files = [ 817 | {file = "numexpr-2.8.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a75967d46b6bd56455dd32da6285e5ffabe155d0ee61eef685bbfb8dafb2e484"}, 818 | {file = "numexpr-2.8.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:db93cf1842f068247de631bfc8af20118bf1f9447cd929b531595a5e0efc9346"}, 819 | {file = "numexpr-2.8.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7bca95f4473b444428061d4cda8e59ac564dc7dc6a1dea3015af9805c6bc2946"}, 820 | {file = "numexpr-2.8.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e34931089a6bafc77aaae21f37ad6594b98aa1085bb8b45d5b3cd038c3c17d9"}, 821 | {file = "numexpr-2.8.4-cp310-cp310-win32.whl", hash = "sha256:f3a920bfac2645017110b87ddbe364c9c7a742870a4d2f6120b8786c25dc6db3"}, 822 | {file = "numexpr-2.8.4-cp310-cp310-win_amd64.whl", hash = "sha256:6931b1e9d4f629f43c14b21d44f3f77997298bea43790cfcdb4dd98804f90783"}, 823 | {file = "numexpr-2.8.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9400781553541f414f82eac056f2b4c965373650df9694286b9bd7e8d413f8d8"}, 824 | {file = "numexpr-2.8.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6ee9db7598dd4001138b482342b96d78110dd77cefc051ec75af3295604dde6a"}, 825 | {file = "numexpr-2.8.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff5835e8af9a212e8480003d731aad1727aaea909926fd009e8ae6a1cba7f141"}, 826 | {file = "numexpr-2.8.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:655d84eb09adfee3c09ecf4a89a512225da153fdb7de13c447404b7d0523a9a7"}, 827 | {file = "numexpr-2.8.4-cp311-cp311-win32.whl", hash = "sha256:5538b30199bfc68886d2be18fcef3abd11d9271767a7a69ff3688defe782800a"}, 828 | {file = "numexpr-2.8.4-cp311-cp311-win_amd64.whl", hash = "sha256:3f039321d1c17962c33079987b675fb251b273dbec0f51aac0934e932446ccc3"}, 829 | {file = "numexpr-2.8.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c867cc36cf815a3ec9122029874e00d8fbcef65035c4a5901e9b120dd5d626a2"}, 830 | {file = "numexpr-2.8.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:059546e8f6283ccdb47c683101a890844f667fa6d56258d48ae2ecf1b3875957"}, 831 | {file = "numexpr-2.8.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:845a6aa0ed3e2a53239b89c1ebfa8cf052d3cc6e053c72805e8153300078c0b1"}, 832 | {file = "numexpr-2.8.4-cp37-cp37m-win32.whl", hash = "sha256:a38664e699526cb1687aefd9069e2b5b9387da7feac4545de446141f1ef86f46"}, 833 | {file = "numexpr-2.8.4-cp37-cp37m-win_amd64.whl", hash = "sha256:eaec59e9bf70ff05615c34a8b8d6c7bd042bd9f55465d7b495ea5436f45319d0"}, 834 | {file = "numexpr-2.8.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b318541bf3d8326682ebada087ba0050549a16d8b3fa260dd2585d73a83d20a7"}, 835 | {file = "numexpr-2.8.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b076db98ca65eeaf9bd224576e3ac84c05e451c0bd85b13664b7e5f7b62e2c70"}, 836 | {file = "numexpr-2.8.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:90f12cc851240f7911a47c91aaf223dba753e98e46dff3017282e633602e76a7"}, 837 | {file = "numexpr-2.8.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c368aa35ae9b18840e78b05f929d3a7b3abccdba9630a878c7db74ca2368339"}, 838 | {file = "numexpr-2.8.4-cp38-cp38-win32.whl", hash = "sha256:b96334fc1748e9ec4f93d5fadb1044089d73fb08208fdb8382ed77c893f0be01"}, 839 | {file = "numexpr-2.8.4-cp38-cp38-win_amd64.whl", hash = "sha256:a6d2d7740ae83ba5f3531e83afc4b626daa71df1ef903970947903345c37bd03"}, 840 | {file = "numexpr-2.8.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:77898fdf3da6bb96aa8a4759a8231d763a75d848b2f2e5c5279dad0b243c8dfe"}, 841 | {file = "numexpr-2.8.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:df35324666b693f13a016bc7957de7cc4d8801b746b81060b671bf78a52b9037"}, 842 | {file = "numexpr-2.8.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:17ac9cfe6d0078c5fc06ba1c1bbd20b8783f28c6f475bbabd3cad53683075cab"}, 843 | {file = "numexpr-2.8.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:df3a1f6b24214a1ab826e9c1c99edf1686c8e307547a9aef33910d586f626d01"}, 844 | {file = "numexpr-2.8.4-cp39-cp39-win32.whl", hash = "sha256:7d71add384adc9119568d7e9ffa8a35b195decae81e0abf54a2b7779852f0637"}, 845 | {file = "numexpr-2.8.4-cp39-cp39-win_amd64.whl", hash = "sha256:9f096d707290a6a00b6ffdaf581ee37331109fb7b6c8744e9ded7c779a48e517"}, 846 | {file = "numexpr-2.8.4.tar.gz", hash = "sha256:d5432537418d18691b9115d615d6daa17ee8275baef3edf1afbbf8bc69806147"}, 847 | ] 848 | 849 | [package.dependencies] 850 | numpy = ">=1.13.3" 851 | 852 | [[package]] 853 | name = "numpy" 854 | version = "1.24.2" 855 | description = "Fundamental package for array computing in Python" 856 | category = "main" 857 | optional = false 858 | python-versions = ">=3.8" 859 | files = [ 860 | {file = "numpy-1.24.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:eef70b4fc1e872ebddc38cddacc87c19a3709c0e3e5d20bf3954c147b1dd941d"}, 861 | {file = "numpy-1.24.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e8d2859428712785e8a8b7d2b3ef0a1d1565892367b32f915c4a4df44d0e64f5"}, 862 | {file = "numpy-1.24.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6524630f71631be2dabe0c541e7675db82651eb998496bbe16bc4f77f0772253"}, 863 | {file = "numpy-1.24.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a51725a815a6188c662fb66fb32077709a9ca38053f0274640293a14fdd22978"}, 864 | {file = "numpy-1.24.2-cp310-cp310-win32.whl", hash = "sha256:2620e8592136e073bd12ee4536149380695fbe9ebeae845b81237f986479ffc9"}, 865 | {file = "numpy-1.24.2-cp310-cp310-win_amd64.whl", hash = "sha256:97cf27e51fa078078c649a51d7ade3c92d9e709ba2bfb97493007103c741f1d0"}, 866 | {file = "numpy-1.24.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7de8fdde0003f4294655aa5d5f0a89c26b9f22c0a58790c38fae1ed392d44a5a"}, 867 | {file = "numpy-1.24.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4173bde9fa2a005c2c6e2ea8ac1618e2ed2c1c6ec8a7657237854d42094123a0"}, 868 | {file = "numpy-1.24.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4cecaed30dc14123020f77b03601559fff3e6cd0c048f8b5289f4eeabb0eb281"}, 869 | {file = "numpy-1.24.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a23f8440561a633204a67fb44617ce2a299beecf3295f0d13c495518908e910"}, 870 | {file = "numpy-1.24.2-cp311-cp311-win32.whl", hash = "sha256:e428c4fbfa085f947b536706a2fc349245d7baa8334f0c5723c56a10595f9b95"}, 871 | {file = "numpy-1.24.2-cp311-cp311-win_amd64.whl", hash = "sha256:557d42778a6869c2162deb40ad82612645e21d79e11c1dc62c6e82a2220ffb04"}, 872 | {file = "numpy-1.24.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d0a2db9d20117bf523dde15858398e7c0858aadca7c0f088ac0d6edd360e9ad2"}, 873 | {file = "numpy-1.24.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c72a6b2f4af1adfe193f7beb91ddf708ff867a3f977ef2ec53c0ffb8283ab9f5"}, 874 | {file = "numpy-1.24.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c29e6bd0ec49a44d7690ecb623a8eac5ab8a923bce0bea6293953992edf3a76a"}, 875 | {file = "numpy-1.24.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2eabd64ddb96a1239791da78fa5f4e1693ae2dadc82a76bc76a14cbb2b966e96"}, 876 | {file = "numpy-1.24.2-cp38-cp38-win32.whl", hash = "sha256:e3ab5d32784e843fc0dd3ab6dcafc67ef806e6b6828dc6af2f689be0eb4d781d"}, 877 | {file = "numpy-1.24.2-cp38-cp38-win_amd64.whl", hash = "sha256:76807b4063f0002c8532cfeac47a3068a69561e9c8715efdad3c642eb27c0756"}, 878 | {file = "numpy-1.24.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4199e7cfc307a778f72d293372736223e39ec9ac096ff0a2e64853b866a8e18a"}, 879 | {file = "numpy-1.24.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:adbdce121896fd3a17a77ab0b0b5eedf05a9834a18699db6829a64e1dfccca7f"}, 880 | {file = "numpy-1.24.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:889b2cc88b837d86eda1b17008ebeb679d82875022200c6e8e4ce6cf549b7acb"}, 881 | {file = "numpy-1.24.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f64bb98ac59b3ea3bf74b02f13836eb2e24e48e0ab0145bbda646295769bd780"}, 882 | {file = "numpy-1.24.2-cp39-cp39-win32.whl", hash = "sha256:63e45511ee4d9d976637d11e6c9864eae50e12dc9598f531c035265991910468"}, 883 | {file = "numpy-1.24.2-cp39-cp39-win_amd64.whl", hash = "sha256:a77d3e1163a7770164404607b7ba3967fb49b24782a6ef85d9b5f54126cc39e5"}, 884 | {file = "numpy-1.24.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:92011118955724465fb6853def593cf397b4a1367495e0b59a7e69d40c4eb71d"}, 885 | {file = "numpy-1.24.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9006288bcf4895917d02583cf3411f98631275bc67cce355a7f39f8c14338fa"}, 886 | {file = "numpy-1.24.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:150947adbdfeceec4e5926d956a06865c1c690f2fd902efede4ca6fe2e657c3f"}, 887 | {file = "numpy-1.24.2.tar.gz", hash = "sha256:003a9f530e880cb2cd177cba1af7220b9aa42def9c4afc2a2fc3ee6be7eb2b22"}, 888 | ] 889 | 890 | [[package]] 891 | name = "openai" 892 | version = "0.27.4" 893 | description = "Python client library for the OpenAI API" 894 | category = "main" 895 | optional = false 896 | python-versions = ">=3.7.1" 897 | files = [ 898 | {file = "openai-0.27.4-py3-none-any.whl", hash = "sha256:3b82c867d531e1fd2003d9de2131e1c4bfd4c70b1a3149e0543a555b30807b70"}, 899 | {file = "openai-0.27.4.tar.gz", hash = "sha256:9f9d27d26e62c6068f516c0729449954b5ef6994be1a6cbfe7dbefbc84423a04"}, 900 | ] 901 | 902 | [package.dependencies] 903 | aiohttp = "*" 904 | requests = ">=2.20" 905 | tqdm = "*" 906 | 907 | [package.extras] 908 | datalib = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"] 909 | dev = ["black (>=21.6b0,<22.0)", "pytest (>=6.0.0,<7.0.0)", "pytest-asyncio", "pytest-mock"] 910 | embeddings = ["matplotlib", "numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "plotly", "scikit-learn (>=1.0.2)", "scipy", "tenacity (>=8.0.1)"] 911 | wandb = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "wandb"] 912 | 913 | [[package]] 914 | name = "openapi-schema-pydantic" 915 | version = "1.2.4" 916 | description = "OpenAPI (v3) specification schema as pydantic class" 917 | category = "main" 918 | optional = false 919 | python-versions = ">=3.6.1" 920 | files = [ 921 | {file = "openapi-schema-pydantic-1.2.4.tar.gz", hash = "sha256:3e22cf58b74a69f752cc7e5f1537f6e44164282db2700cbbcd3bb99ddd065196"}, 922 | {file = "openapi_schema_pydantic-1.2.4-py3-none-any.whl", hash = "sha256:a932ecc5dcbb308950282088956e94dea069c9823c84e507d64f6b622222098c"}, 923 | ] 924 | 925 | [package.dependencies] 926 | pydantic = ">=1.8.2" 927 | 928 | [[package]] 929 | name = "packaging" 930 | version = "23.1" 931 | description = "Core utilities for Python packages" 932 | category = "main" 933 | optional = false 934 | python-versions = ">=3.7" 935 | files = [ 936 | {file = "packaging-23.1-py3-none-any.whl", hash = "sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61"}, 937 | {file = "packaging-23.1.tar.gz", hash = "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"}, 938 | ] 939 | 940 | [[package]] 941 | name = "pathspec" 942 | version = "0.11.1" 943 | description = "Utility library for gitignore style pattern matching of file paths." 944 | category = "dev" 945 | optional = false 946 | python-versions = ">=3.7" 947 | files = [ 948 | {file = "pathspec-0.11.1-py3-none-any.whl", hash = "sha256:d8af70af76652554bd134c22b3e8a1cc46ed7d91edcdd721ef1a0c51a84a5293"}, 949 | {file = "pathspec-0.11.1.tar.gz", hash = "sha256:2798de800fa92780e33acca925945e9a19a133b715067cf165b8866c15a31687"}, 950 | ] 951 | 952 | [[package]] 953 | name = "platformdirs" 954 | version = "3.2.0" 955 | description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." 956 | category = "dev" 957 | optional = false 958 | python-versions = ">=3.7" 959 | files = [ 960 | {file = "platformdirs-3.2.0-py3-none-any.whl", hash = "sha256:ebe11c0d7a805086e99506aa331612429a72ca7cd52a1f0d277dc4adc20cb10e"}, 961 | {file = "platformdirs-3.2.0.tar.gz", hash = "sha256:d5b638ca397f25f979350ff789db335903d7ea010ab28903f57b27e1b16c2b08"}, 962 | ] 963 | 964 | [package.extras] 965 | docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"] 966 | test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.2.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"] 967 | 968 | [[package]] 969 | name = "pluggy" 970 | version = "1.0.0" 971 | description = "plugin and hook calling mechanisms for python" 972 | category = "dev" 973 | optional = false 974 | python-versions = ">=3.6" 975 | files = [ 976 | {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"}, 977 | {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"}, 978 | ] 979 | 980 | [package.extras] 981 | dev = ["pre-commit", "tox"] 982 | testing = ["pytest", "pytest-benchmark"] 983 | 984 | [[package]] 985 | name = "pycodestyle" 986 | version = "2.10.0" 987 | description = "Python style guide checker" 988 | category = "dev" 989 | optional = false 990 | python-versions = ">=3.6" 991 | files = [ 992 | {file = "pycodestyle-2.10.0-py2.py3-none-any.whl", hash = "sha256:8a4eaf0d0495c7395bdab3589ac2db602797d76207242c17d470186815706610"}, 993 | {file = "pycodestyle-2.10.0.tar.gz", hash = "sha256:347187bdb476329d98f695c213d7295a846d1152ff4fe9bacb8a9590b8ee7053"}, 994 | ] 995 | 996 | [[package]] 997 | name = "pydantic" 998 | version = "1.10.7" 999 | description = "Data validation and settings management using python type hints" 1000 | category = "main" 1001 | optional = false 1002 | python-versions = ">=3.7" 1003 | files = [ 1004 | {file = "pydantic-1.10.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e79e999e539872e903767c417c897e729e015872040e56b96e67968c3b918b2d"}, 1005 | {file = "pydantic-1.10.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:01aea3a42c13f2602b7ecbbea484a98169fb568ebd9e247593ea05f01b884b2e"}, 1006 | {file = "pydantic-1.10.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:516f1ed9bc2406a0467dd777afc636c7091d71f214d5e413d64fef45174cfc7a"}, 1007 | {file = "pydantic-1.10.7-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae150a63564929c675d7f2303008d88426a0add46efd76c3fc797cd71cb1b46f"}, 1008 | {file = "pydantic-1.10.7-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:ecbbc51391248116c0a055899e6c3e7ffbb11fb5e2a4cd6f2d0b93272118a209"}, 1009 | {file = "pydantic-1.10.7-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f4a2b50e2b03d5776e7f21af73e2070e1b5c0d0df255a827e7c632962f8315af"}, 1010 | {file = "pydantic-1.10.7-cp310-cp310-win_amd64.whl", hash = "sha256:a7cd2251439988b413cb0a985c4ed82b6c6aac382dbaff53ae03c4b23a70e80a"}, 1011 | {file = "pydantic-1.10.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:68792151e174a4aa9e9fc1b4e653e65a354a2fa0fed169f7b3d09902ad2cb6f1"}, 1012 | {file = "pydantic-1.10.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe2507b8ef209da71b6fb5f4e597b50c5a34b78d7e857c4f8f3115effaef5fe"}, 1013 | {file = "pydantic-1.10.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10a86d8c8db68086f1e30a530f7d5f83eb0685e632e411dbbcf2d5c0150e8dcd"}, 1014 | {file = "pydantic-1.10.7-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d75ae19d2a3dbb146b6f324031c24f8a3f52ff5d6a9f22f0683694b3afcb16fb"}, 1015 | {file = "pydantic-1.10.7-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:464855a7ff7f2cc2cf537ecc421291b9132aa9c79aef44e917ad711b4a93163b"}, 1016 | {file = "pydantic-1.10.7-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:193924c563fae6ddcb71d3f06fa153866423ac1b793a47936656e806b64e24ca"}, 1017 | {file = "pydantic-1.10.7-cp311-cp311-win_amd64.whl", hash = "sha256:b4a849d10f211389502059c33332e91327bc154acc1845f375a99eca3afa802d"}, 1018 | {file = "pydantic-1.10.7-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:cc1dde4e50a5fc1336ee0581c1612215bc64ed6d28d2c7c6f25d2fe3e7c3e918"}, 1019 | {file = "pydantic-1.10.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0cfe895a504c060e5d36b287ee696e2fdad02d89e0d895f83037245218a87fe"}, 1020 | {file = "pydantic-1.10.7-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:670bb4683ad1e48b0ecb06f0cfe2178dcf74ff27921cdf1606e527d2617a81ee"}, 1021 | {file = "pydantic-1.10.7-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:950ce33857841f9a337ce07ddf46bc84e1c4946d2a3bba18f8280297157a3fd1"}, 1022 | {file = "pydantic-1.10.7-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:c15582f9055fbc1bfe50266a19771bbbef33dd28c45e78afbe1996fd70966c2a"}, 1023 | {file = "pydantic-1.10.7-cp37-cp37m-win_amd64.whl", hash = "sha256:82dffb306dd20bd5268fd6379bc4bfe75242a9c2b79fec58e1041fbbdb1f7914"}, 1024 | {file = "pydantic-1.10.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8c7f51861d73e8b9ddcb9916ae7ac39fb52761d9ea0df41128e81e2ba42886cd"}, 1025 | {file = "pydantic-1.10.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6434b49c0b03a51021ade5c4daa7d70c98f7a79e95b551201fff682fc1661245"}, 1026 | {file = "pydantic-1.10.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64d34ab766fa056df49013bb6e79921a0265204c071984e75a09cbceacbbdd5d"}, 1027 | {file = "pydantic-1.10.7-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:701daea9ffe9d26f97b52f1d157e0d4121644f0fcf80b443248434958fd03dc3"}, 1028 | {file = "pydantic-1.10.7-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:cf135c46099ff3f919d2150a948ce94b9ce545598ef2c6c7bf55dca98a304b52"}, 1029 | {file = "pydantic-1.10.7-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b0f85904f73161817b80781cc150f8b906d521fa11e3cdabae19a581c3606209"}, 1030 | {file = "pydantic-1.10.7-cp38-cp38-win_amd64.whl", hash = "sha256:9f6f0fd68d73257ad6685419478c5aece46432f4bdd8d32c7345f1986496171e"}, 1031 | {file = "pydantic-1.10.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c230c0d8a322276d6e7b88c3f7ce885f9ed16e0910354510e0bae84d54991143"}, 1032 | {file = "pydantic-1.10.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:976cae77ba6a49d80f461fd8bba183ff7ba79f44aa5cfa82f1346b5626542f8e"}, 1033 | {file = "pydantic-1.10.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d45fc99d64af9aaf7e308054a0067fdcd87ffe974f2442312372dfa66e1001d"}, 1034 | {file = "pydantic-1.10.7-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d2a5ebb48958754d386195fe9e9c5106f11275867051bf017a8059410e9abf1f"}, 1035 | {file = "pydantic-1.10.7-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:abfb7d4a7cd5cc4e1d1887c43503a7c5dd608eadf8bc615413fc498d3e4645cd"}, 1036 | {file = "pydantic-1.10.7-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:80b1fab4deb08a8292d15e43a6edccdffa5377a36a4597bb545b93e79c5ff0a5"}, 1037 | {file = "pydantic-1.10.7-cp39-cp39-win_amd64.whl", hash = "sha256:d71e69699498b020ea198468e2480a2f1e7433e32a3a99760058c6520e2bea7e"}, 1038 | {file = "pydantic-1.10.7-py3-none-any.whl", hash = "sha256:0cd181f1d0b1d00e2b705f1bf1ac7799a2d938cce3376b8007df62b29be3c2c6"}, 1039 | {file = "pydantic-1.10.7.tar.gz", hash = "sha256:cfc83c0678b6ba51b0532bea66860617c4cd4251ecf76e9846fa5a9f3454e97e"}, 1040 | ] 1041 | 1042 | [package.dependencies] 1043 | typing-extensions = ">=4.2.0" 1044 | 1045 | [package.extras] 1046 | dotenv = ["python-dotenv (>=0.10.4)"] 1047 | email = ["email-validator (>=1.0.3)"] 1048 | 1049 | [[package]] 1050 | name = "pyflakes" 1051 | version = "3.0.1" 1052 | description = "passive checker of Python programs" 1053 | category = "dev" 1054 | optional = false 1055 | python-versions = ">=3.6" 1056 | files = [ 1057 | {file = "pyflakes-3.0.1-py2.py3-none-any.whl", hash = "sha256:ec55bf7fe21fff7f1ad2f7da62363d749e2a470500eab1b555334b67aa1ef8cf"}, 1058 | {file = "pyflakes-3.0.1.tar.gz", hash = "sha256:ec8b276a6b60bd80defed25add7e439881c19e64850afd9b346283d4165fd0fd"}, 1059 | ] 1060 | 1061 | [[package]] 1062 | name = "pytest" 1063 | version = "7.3.1" 1064 | description = "pytest: simple powerful testing with Python" 1065 | category = "dev" 1066 | optional = false 1067 | python-versions = ">=3.7" 1068 | files = [ 1069 | {file = "pytest-7.3.1-py3-none-any.whl", hash = "sha256:3799fa815351fea3a5e96ac7e503a96fa51cc9942c3753cda7651b93c1cfa362"}, 1070 | {file = "pytest-7.3.1.tar.gz", hash = "sha256:434afafd78b1d78ed0addf160ad2b77a30d35d4bdf8af234fe621919d9ed15e3"}, 1071 | ] 1072 | 1073 | [package.dependencies] 1074 | colorama = {version = "*", markers = "sys_platform == \"win32\""} 1075 | exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} 1076 | iniconfig = "*" 1077 | packaging = "*" 1078 | pluggy = ">=0.12,<2.0" 1079 | tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} 1080 | 1081 | [package.extras] 1082 | testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] 1083 | 1084 | [[package]] 1085 | name = "python-dotenv" 1086 | version = "1.0.0" 1087 | description = "Read key-value pairs from a .env file and set them as environment variables" 1088 | category = "main" 1089 | optional = false 1090 | python-versions = ">=3.8" 1091 | files = [ 1092 | {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"}, 1093 | {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"}, 1094 | ] 1095 | 1096 | [package.extras] 1097 | cli = ["click (>=5.0)"] 1098 | 1099 | [[package]] 1100 | name = "python-minifier" 1101 | version = "2.8.1" 1102 | description = "Transform Python source code into it's most compact representation" 1103 | category = "dev" 1104 | optional = false 1105 | python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <3.12" 1106 | files = [ 1107 | {file = "python_minifier-2.8.1-py2.py3-none-any.whl", hash = "sha256:2a228480e3690fb36aafa99892831b1b5479b44d2a4bc17736754a0378f06141"}, 1108 | {file = "python_minifier-2.8.1.tar.gz", hash = "sha256:a20e6c101c5b9eae943c52d2f175e3ce749b65870dcdac85904fc6f0720fc079"}, 1109 | ] 1110 | 1111 | [[package]] 1112 | name = "pyyaml" 1113 | version = "6.0" 1114 | description = "YAML parser and emitter for Python" 1115 | category = "main" 1116 | optional = false 1117 | python-versions = ">=3.6" 1118 | files = [ 1119 | {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"}, 1120 | {file = "PyYAML-6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c"}, 1121 | {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77f396e6ef4c73fdc33a9157446466f1cff553d979bd00ecb64385760c6babdc"}, 1122 | {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a80a78046a72361de73f8f395f1f1e49f956c6be882eed58505a15f3e430962b"}, 1123 | {file = "PyYAML-6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5"}, 1124 | {file = "PyYAML-6.0-cp310-cp310-win32.whl", hash = "sha256:2cd5df3de48857ed0544b34e2d40e9fac445930039f3cfe4bcc592a1f836d513"}, 1125 | {file = "PyYAML-6.0-cp310-cp310-win_amd64.whl", hash = "sha256:daf496c58a8c52083df09b80c860005194014c3698698d1a57cbcfa182142a3a"}, 1126 | {file = "PyYAML-6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d4b0ba9512519522b118090257be113b9468d804b19d63c71dbcf4a48fa32358"}, 1127 | {file = "PyYAML-6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:81957921f441d50af23654aa6c5e5eaf9b06aba7f0a19c18a538dc7ef291c5a1"}, 1128 | {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afa17f5bc4d1b10afd4466fd3a44dc0e245382deca5b3c353d8b757f9e3ecb8d"}, 1129 | {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dbad0e9d368bb989f4515da330b88a057617d16b6a8245084f1b05400f24609f"}, 1130 | {file = "PyYAML-6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:432557aa2c09802be39460360ddffd48156e30721f5e8d917f01d31694216782"}, 1131 | {file = "PyYAML-6.0-cp311-cp311-win32.whl", hash = "sha256:bfaef573a63ba8923503d27530362590ff4f576c626d86a9fed95822a8255fd7"}, 1132 | {file = "PyYAML-6.0-cp311-cp311-win_amd64.whl", hash = "sha256:01b45c0191e6d66c470b6cf1b9531a771a83c1c4208272ead47a3ae4f2f603bf"}, 1133 | {file = "PyYAML-6.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:897b80890765f037df3403d22bab41627ca8811ae55e9a722fd0392850ec4d86"}, 1134 | {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50602afada6d6cbfad699b0c7bb50d5ccffa7e46a3d738092afddc1f9758427f"}, 1135 | {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:48c346915c114f5fdb3ead70312bd042a953a8ce5c7106d5bfb1a5254e47da92"}, 1136 | {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4"}, 1137 | {file = "PyYAML-6.0-cp36-cp36m-win32.whl", hash = "sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293"}, 1138 | {file = "PyYAML-6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57"}, 1139 | {file = "PyYAML-6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c"}, 1140 | {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:473f9edb243cb1935ab5a084eb238d842fb8f404ed2193a915d1784b5a6b5fc0"}, 1141 | {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4"}, 1142 | {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9"}, 1143 | {file = "PyYAML-6.0-cp37-cp37m-win32.whl", hash = "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737"}, 1144 | {file = "PyYAML-6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d"}, 1145 | {file = "PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b"}, 1146 | {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba"}, 1147 | {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34"}, 1148 | {file = "PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287"}, 1149 | {file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"}, 1150 | {file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"}, 1151 | {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"}, 1152 | {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"}, 1153 | {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"}, 1154 | {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"}, 1155 | {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"}, 1156 | {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"}, 1157 | {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"}, 1158 | {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"}, 1159 | ] 1160 | 1161 | [[package]] 1162 | name = "regex" 1163 | version = "2023.3.23" 1164 | description = "Alternative regular expression module, to replace re." 1165 | category = "main" 1166 | optional = false 1167 | python-versions = ">=3.8" 1168 | files = [ 1169 | {file = "regex-2023.3.23-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:845a5e2d84389c4ddada1a9b95c055320070f18bb76512608374aca00d22eca8"}, 1170 | {file = "regex-2023.3.23-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:87d9951f5a538dd1d016bdc0dcae59241d15fa94860964833a54d18197fcd134"}, 1171 | {file = "regex-2023.3.23-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37ae17d3be44c0b3f782c28ae9edd8b47c1f1776d4cabe87edc0b98e1f12b021"}, 1172 | {file = "regex-2023.3.23-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0b8eb1e3bca6b48dc721818a60ae83b8264d4089a4a41d62be6d05316ec38e15"}, 1173 | {file = "regex-2023.3.23-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:df45fac182ebc3c494460c644e853515cc24f5ad9da05f8ffb91da891bfee879"}, 1174 | {file = "regex-2023.3.23-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7006105b10b59971d3b248ad75acc3651c7e4cf54d81694df5a5130a3c3f7ea"}, 1175 | {file = "regex-2023.3.23-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:93f3f1aa608380fe294aa4cb82e2afda07a7598e828d0341e124b8fd9327c715"}, 1176 | {file = "regex-2023.3.23-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:787954f541ab95d8195d97b0b8cf1dc304424adb1e07365967e656b92b38a699"}, 1177 | {file = "regex-2023.3.23-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:20abe0bdf03630fe92ccafc45a599bca8b3501f48d1de4f7d121153350a2f77d"}, 1178 | {file = "regex-2023.3.23-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:11d00c31aeab9a6e0503bc77e73ed9f4527b3984279d997eb145d7c7be6268fd"}, 1179 | {file = "regex-2023.3.23-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:d5bbe0e1511b844794a3be43d6c145001626ba9a6c1db8f84bdc724e91131d9d"}, 1180 | {file = "regex-2023.3.23-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:ea3c0cb56eadbf4ab2277e7a095676370b3e46dbfc74d5c383bd87b0d6317910"}, 1181 | {file = "regex-2023.3.23-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:d895b4c863059a4934d3e874b90998df774644a41b349ebb330f85f11b4ef2c0"}, 1182 | {file = "regex-2023.3.23-cp310-cp310-win32.whl", hash = "sha256:9d764514d19b4edcc75fd8cb1423448ef393e8b6cbd94f38cab983ab1b75855d"}, 1183 | {file = "regex-2023.3.23-cp310-cp310-win_amd64.whl", hash = "sha256:11d1f2b7a0696dc0310de0efb51b1f4d813ad4401fe368e83c0c62f344429f98"}, 1184 | {file = "regex-2023.3.23-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8a9c63cde0eaa345795c0fdeb19dc62d22e378c50b0bc67bf4667cd5b482d98b"}, 1185 | {file = "regex-2023.3.23-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dd7200b4c27b68cf9c9646da01647141c6db09f48cc5b51bc588deaf8e98a797"}, 1186 | {file = "regex-2023.3.23-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22720024b90a6ba673a725dcc62e10fb1111b889305d7c6b887ac7466b74bedb"}, 1187 | {file = "regex-2023.3.23-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6b190a339090e6af25f4a5fd9e77591f6d911cc7b96ecbb2114890b061be0ac1"}, 1188 | {file = "regex-2023.3.23-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e76b6fc0d8e9efa39100369a9b3379ce35e20f6c75365653cf58d282ad290f6f"}, 1189 | {file = "regex-2023.3.23-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7868b8f218bf69a2a15402fde08b08712213a1f4b85a156d90473a6fb6b12b09"}, 1190 | {file = "regex-2023.3.23-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2472428efc4127374f494e570e36b30bb5e6b37d9a754f7667f7073e43b0abdd"}, 1191 | {file = "regex-2023.3.23-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c37df2a060cb476d94c047b18572ee2b37c31f831df126c0da3cd9227b39253d"}, 1192 | {file = "regex-2023.3.23-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4479f9e2abc03362df4045b1332d4a2b7885b245a30d4f4b051c4083b97d95d8"}, 1193 | {file = "regex-2023.3.23-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:e2396e0678167f2d0c197da942b0b3fb48fee2f0b5915a0feb84d11b6686afe6"}, 1194 | {file = "regex-2023.3.23-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:75f288c60232a5339e0ff2fa05779a5e9c74e9fc085c81e931d4a264501e745b"}, 1195 | {file = "regex-2023.3.23-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:c869260aa62cee21c5eb171a466c0572b5e809213612ef8d495268cd2e34f20d"}, 1196 | {file = "regex-2023.3.23-cp311-cp311-win32.whl", hash = "sha256:25f0532fd0c53e96bad84664171969de9673b4131f2297f1db850d3918d58858"}, 1197 | {file = "regex-2023.3.23-cp311-cp311-win_amd64.whl", hash = "sha256:5ccfafd98473e007cebf7da10c1411035b7844f0f204015efd050601906dbb53"}, 1198 | {file = "regex-2023.3.23-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6572ff287176c0fb96568adb292674b421fa762153ed074d94b1d939ed92c253"}, 1199 | {file = "regex-2023.3.23-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a610e0adfcb0fc84ea25f6ea685e39e74cbcd9245a72a9a7aab85ff755a5ed27"}, 1200 | {file = "regex-2023.3.23-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:086afe222d58b88b62847bdbd92079b4699350b4acab892f88a935db5707c790"}, 1201 | {file = "regex-2023.3.23-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:79e29fd62fa2f597a6754b247356bda14b866131a22444d67f907d6d341e10f3"}, 1202 | {file = "regex-2023.3.23-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c07ce8e9eee878a48ebeb32ee661b49504b85e164b05bebf25420705709fdd31"}, 1203 | {file = "regex-2023.3.23-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:86b036f401895e854de9fefe061518e78d506d8a919cc250dc3416bca03f6f9a"}, 1204 | {file = "regex-2023.3.23-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:78ac8dd8e18800bb1f97aad0d73f68916592dddf233b99d2b5cabc562088503a"}, 1205 | {file = "regex-2023.3.23-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:539dd010dc35af935b32f248099e38447bbffc10b59c2b542bceead2bed5c325"}, 1206 | {file = "regex-2023.3.23-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:9bf4a5626f2a0ea006bf81e8963f498a57a47d58907eaa58f4b3e13be68759d8"}, 1207 | {file = "regex-2023.3.23-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:cf86b4328c204c3f315074a61bc1c06f8a75a8e102359f18ce99fbcbbf1951f0"}, 1208 | {file = "regex-2023.3.23-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:2848bf76673c83314068241c8d5b7fa9ad9bed866c979875a0e84039349e8fa7"}, 1209 | {file = "regex-2023.3.23-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:c125a02d22c555e68f7433bac8449992fa1cead525399f14e47c2d98f2f0e467"}, 1210 | {file = "regex-2023.3.23-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:cd1671e9d5ac05ce6aa86874dd8dfa048824d1dbe73060851b310c6c1a201a96"}, 1211 | {file = "regex-2023.3.23-cp38-cp38-win32.whl", hash = "sha256:fffe57312a358be6ec6baeb43d253c36e5790e436b7bf5b7a38df360363e88e9"}, 1212 | {file = "regex-2023.3.23-cp38-cp38-win_amd64.whl", hash = "sha256:dbb3f87e15d3dd76996d604af8678316ad2d7d20faa394e92d9394dfd621fd0c"}, 1213 | {file = "regex-2023.3.23-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c88e8c226473b5549fe9616980ea7ca09289246cfbdf469241edf4741a620004"}, 1214 | {file = "regex-2023.3.23-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6560776ec19c83f3645bbc5db64a7a5816c9d8fb7ed7201c5bcd269323d88072"}, 1215 | {file = "regex-2023.3.23-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b1fc2632c01f42e06173d8dd9bb2e74ab9b0afa1d698058c867288d2c7a31f3"}, 1216 | {file = "regex-2023.3.23-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fdf7ad455f1916b8ea5cdbc482d379f6daf93f3867b4232d14699867a5a13af7"}, 1217 | {file = "regex-2023.3.23-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5fc33b27b1d800fc5b78d7f7d0f287e35079ecabe68e83d46930cf45690e1c8c"}, 1218 | {file = "regex-2023.3.23-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c49552dc938e3588f63f8a78c86f3c9c75301e813bca0bef13bdb4b87ccf364"}, 1219 | {file = "regex-2023.3.23-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e152461e9a0aedec7d37fc66ec0fa635eca984777d3d3c3e36f53bf3d3ceb16e"}, 1220 | {file = "regex-2023.3.23-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:db034255e72d2995cf581b14bb3fc9c00bdbe6822b49fcd4eef79e1d5f232618"}, 1221 | {file = "regex-2023.3.23-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:55ae114da21b7a790b90255ea52d2aa3a0d121a646deb2d3c6a3194e722fc762"}, 1222 | {file = "regex-2023.3.23-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:ef3f528fe1cc3d139508fe1b22523745aa77b9d6cb5b0bf277f48788ee0b993f"}, 1223 | {file = "regex-2023.3.23-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:a81c9ec59ca2303acd1ccd7b9ac409f1e478e40e96f8f79b943be476c5fdb8bb"}, 1224 | {file = "regex-2023.3.23-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:cde09c4fdd070772aa2596d97e942eb775a478b32459e042e1be71b739d08b77"}, 1225 | {file = "regex-2023.3.23-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3cd9f5dd7b821f141d3a6ca0d5d9359b9221e4f051ca3139320adea9f1679691"}, 1226 | {file = "regex-2023.3.23-cp39-cp39-win32.whl", hash = "sha256:7304863f3a652dab5e68e6fb1725d05ebab36ec0390676d1736e0571ebb713ef"}, 1227 | {file = "regex-2023.3.23-cp39-cp39-win_amd64.whl", hash = "sha256:54c3fa855a3f7438149de3211738dd9b5f0c733f48b54ae05aa7fce83d48d858"}, 1228 | {file = "regex-2023.3.23.tar.gz", hash = "sha256:dc80df325b43ffea5cdea2e3eaa97a44f3dd298262b1c7fe9dbb2a9522b956a7"}, 1229 | ] 1230 | 1231 | [[package]] 1232 | name = "requests" 1233 | version = "2.28.2" 1234 | description = "Python HTTP for Humans." 1235 | category = "main" 1236 | optional = false 1237 | python-versions = ">=3.7, <4" 1238 | files = [ 1239 | {file = "requests-2.28.2-py3-none-any.whl", hash = "sha256:64299f4909223da747622c030b781c0d7811e359c37124b4bd368fb8c6518baa"}, 1240 | {file = "requests-2.28.2.tar.gz", hash = "sha256:98b1b2782e3c6c4904938b84c0eb932721069dfdb9134313beff7c83c2df24bf"}, 1241 | ] 1242 | 1243 | [package.dependencies] 1244 | certifi = ">=2017.4.17" 1245 | charset-normalizer = ">=2,<4" 1246 | idna = ">=2.5,<4" 1247 | urllib3 = ">=1.21.1,<1.27" 1248 | 1249 | [package.extras] 1250 | socks = ["PySocks (>=1.5.6,!=1.5.7)"] 1251 | use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] 1252 | 1253 | [[package]] 1254 | name = "sqlalchemy" 1255 | version = "1.4.47" 1256 | description = "Database Abstraction Library" 1257 | category = "main" 1258 | optional = false 1259 | python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" 1260 | files = [ 1261 | {file = "SQLAlchemy-1.4.47-cp27-cp27m-macosx_10_14_x86_64.whl", hash = "sha256:dcfb480bfc9e1fab726003ae00a6bfc67a29bad275b63a4e36d17fe7f13a624e"}, 1262 | {file = "SQLAlchemy-1.4.47-cp27-cp27m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:28fda5a69d6182589892422c5a9b02a8fd1125787aab1d83f1392aa955bf8d0a"}, 1263 | {file = "SQLAlchemy-1.4.47-cp27-cp27m-win32.whl", hash = "sha256:45e799c1a41822eba6bee4e59b0e38764e1a1ee69873ab2889079865e9ea0e23"}, 1264 | {file = "SQLAlchemy-1.4.47-cp27-cp27m-win_amd64.whl", hash = "sha256:10edbb92a9ef611f01b086e271a9f6c1c3e5157c3b0c5ff62310fb2187acbd4a"}, 1265 | {file = "SQLAlchemy-1.4.47-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:7a4df53472c9030a8ddb1cce517757ba38a7a25699bbcabd57dcc8a5d53f324e"}, 1266 | {file = "SQLAlchemy-1.4.47-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:511d4abc823152dec49461209607bbfb2df60033c8c88a3f7c93293b8ecbb13d"}, 1267 | {file = "SQLAlchemy-1.4.47-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbe57f39f531c5d68d5594ea4613daa60aba33bb51a8cc42f96f17bbd6305e8d"}, 1268 | {file = "SQLAlchemy-1.4.47-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ca8ab6748e3ec66afccd8b23ec2f92787a58d5353ce9624dccd770427ee67c82"}, 1269 | {file = "SQLAlchemy-1.4.47-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:299b5c5c060b9fbe51808d0d40d8475f7b3873317640b9b7617c7f988cf59fda"}, 1270 | {file = "SQLAlchemy-1.4.47-cp310-cp310-win32.whl", hash = "sha256:684e5c773222781775c7f77231f412633d8af22493bf35b7fa1029fdf8066d10"}, 1271 | {file = "SQLAlchemy-1.4.47-cp310-cp310-win_amd64.whl", hash = "sha256:2bba39b12b879c7b35cde18b6e14119c5f1a16bd064a48dd2ac62d21366a5e17"}, 1272 | {file = "SQLAlchemy-1.4.47-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:795b5b9db573d3ed61fae74285d57d396829e3157642794d3a8f72ec2a5c719b"}, 1273 | {file = "SQLAlchemy-1.4.47-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:989c62b96596b7938cbc032e39431e6c2d81b635034571d6a43a13920852fb65"}, 1274 | {file = "SQLAlchemy-1.4.47-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e3b67bda733da1dcdccaf354e71ef01b46db483a4f6236450d3f9a61efdba35a"}, 1275 | {file = "SQLAlchemy-1.4.47-cp311-cp311-win32.whl", hash = "sha256:9a198f690ac12a3a807e03a5a45df6a30cd215935f237a46f4248faed62e69c8"}, 1276 | {file = "SQLAlchemy-1.4.47-cp311-cp311-win_amd64.whl", hash = "sha256:03be6f3cb66e69fb3a09b5ea89d77e4bc942f3bf84b207dba84666a26799c166"}, 1277 | {file = "SQLAlchemy-1.4.47-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:16ee6fea316790980779268da47a9260d5dd665c96f225d28e7750b0bb2e2a04"}, 1278 | {file = "SQLAlchemy-1.4.47-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:557675e0befafa08d36d7a9284e8761c97490a248474d778373fb96b0d7fd8de"}, 1279 | {file = "SQLAlchemy-1.4.47-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:bb2797fee8a7914fb2c3dc7de404d3f96eb77f20fc60e9ee38dc6b0ca720f2c2"}, 1280 | {file = "SQLAlchemy-1.4.47-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28297aa29e035f29cba6b16aacd3680fbc6a9db682258d5f2e7b49ec215dbe40"}, 1281 | {file = "SQLAlchemy-1.4.47-cp36-cp36m-win32.whl", hash = "sha256:998e782c8d9fd57fa8704d149ccd52acf03db30d7dd76f467fd21c1c21b414fa"}, 1282 | {file = "SQLAlchemy-1.4.47-cp36-cp36m-win_amd64.whl", hash = "sha256:dde4d02213f1deb49eaaf8be8a6425948963a7af84983b3f22772c63826944de"}, 1283 | {file = "SQLAlchemy-1.4.47-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:e98ef1babe34f37f443b7211cd3ee004d9577a19766e2dbacf62fce73c76245a"}, 1284 | {file = "SQLAlchemy-1.4.47-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:14a3879853208a242b5913f3a17c6ac0eae9dc210ff99c8f10b19d4a1ed8ed9b"}, 1285 | {file = "SQLAlchemy-1.4.47-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7120a2f72599d4fed7c001fa1cbbc5b4d14929436135768050e284f53e9fbe5e"}, 1286 | {file = "SQLAlchemy-1.4.47-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:048509d7f3ac27b83ad82fd96a1ab90a34c8e906e4e09c8d677fc531d12c23c5"}, 1287 | {file = "SQLAlchemy-1.4.47-cp37-cp37m-win32.whl", hash = "sha256:6572d7c96c2e3e126d0bb27bfb1d7e2a195b68d951fcc64c146b94f088e5421a"}, 1288 | {file = "SQLAlchemy-1.4.47-cp37-cp37m-win_amd64.whl", hash = "sha256:a6c3929df5eeaf3867724003d5c19fed3f0c290f3edc7911616616684f200ecf"}, 1289 | {file = "SQLAlchemy-1.4.47-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:71d4bf7768169c4502f6c2b0709a02a33703544f611810fb0c75406a9c576ee1"}, 1290 | {file = "SQLAlchemy-1.4.47-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd45c60cc4f6d68c30d5179e2c2c8098f7112983532897566bb69c47d87127d3"}, 1291 | {file = "SQLAlchemy-1.4.47-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:0fdbb8e9d4e9003f332a93d6a37bca48ba8095086c97a89826a136d8eddfc455"}, 1292 | {file = "SQLAlchemy-1.4.47-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f216a51451a0a0466e082e163591f6dcb2f9ec182adb3f1f4b1fd3688c7582c"}, 1293 | {file = "SQLAlchemy-1.4.47-cp38-cp38-win32.whl", hash = "sha256:bd988b3362d7e586ef581eb14771bbb48793a4edb6fcf62da75d3f0f3447060b"}, 1294 | {file = "SQLAlchemy-1.4.47-cp38-cp38-win_amd64.whl", hash = "sha256:32ab09f2863e3de51529aa84ff0e4fe89a2cb1bfbc11e225b6dbc60814e44c94"}, 1295 | {file = "SQLAlchemy-1.4.47-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:07764b240645627bc3e82596435bd1a1884646bfc0721642d24c26b12f1df194"}, 1296 | {file = "SQLAlchemy-1.4.47-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e2a42017984099ef6f56438a6b898ce0538f6fadddaa902870c5aa3e1d82583"}, 1297 | {file = "SQLAlchemy-1.4.47-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6b6d807c76c20b4bc143a49ad47782228a2ac98bdcdcb069da54280e138847fc"}, 1298 | {file = "SQLAlchemy-1.4.47-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a94632ba26a666e7be0a7d7cc3f7acab622a04259a3aa0ee50ff6d44ba9df0d"}, 1299 | {file = "SQLAlchemy-1.4.47-cp39-cp39-win32.whl", hash = "sha256:f80915681ea9001f19b65aee715115f2ad310730c8043127cf3e19b3009892dd"}, 1300 | {file = "SQLAlchemy-1.4.47-cp39-cp39-win_amd64.whl", hash = "sha256:fc700b862e0a859a37faf85367e205e7acaecae5a098794aff52fdd8aea77b12"}, 1301 | {file = "SQLAlchemy-1.4.47.tar.gz", hash = "sha256:95fc02f7fc1f3199aaa47a8a757437134cf618e9d994c84effd53f530c38586f"}, 1302 | ] 1303 | 1304 | [package.dependencies] 1305 | greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and platform_machine == \"aarch64\" or python_version >= \"3\" and platform_machine == \"ppc64le\" or python_version >= \"3\" and platform_machine == \"x86_64\" or python_version >= \"3\" and platform_machine == \"amd64\" or python_version >= \"3\" and platform_machine == \"AMD64\" or python_version >= \"3\" and platform_machine == \"win32\" or python_version >= \"3\" and platform_machine == \"WIN32\""} 1306 | 1307 | [package.extras] 1308 | aiomysql = ["aiomysql", "greenlet (!=0.4.17)"] 1309 | aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"] 1310 | asyncio = ["greenlet (!=0.4.17)"] 1311 | asyncmy = ["asyncmy (>=0.2.3,!=0.2.4)", "greenlet (!=0.4.17)"] 1312 | mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2)"] 1313 | mssql = ["pyodbc"] 1314 | mssql-pymssql = ["pymssql"] 1315 | mssql-pyodbc = ["pyodbc"] 1316 | mypy = ["mypy (>=0.910)", "sqlalchemy2-stubs"] 1317 | mysql = ["mysqlclient (>=1.4.0)", "mysqlclient (>=1.4.0,<2)"] 1318 | mysql-connector = ["mysql-connector-python"] 1319 | oracle = ["cx-oracle (>=7)", "cx-oracle (>=7,<8)"] 1320 | postgresql = ["psycopg2 (>=2.7)"] 1321 | postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"] 1322 | postgresql-pg8000 = ["pg8000 (>=1.16.6,!=1.29.0)"] 1323 | postgresql-psycopg2binary = ["psycopg2-binary"] 1324 | postgresql-psycopg2cffi = ["psycopg2cffi"] 1325 | pymysql = ["pymysql", "pymysql (<1)"] 1326 | sqlcipher = ["sqlcipher3-binary"] 1327 | 1328 | [[package]] 1329 | name = "tenacity" 1330 | version = "8.2.2" 1331 | description = "Retry code until it succeeds" 1332 | category = "main" 1333 | optional = false 1334 | python-versions = ">=3.6" 1335 | files = [ 1336 | {file = "tenacity-8.2.2-py3-none-any.whl", hash = "sha256:2f277afb21b851637e8f52e6a613ff08734c347dc19ade928e519d7d2d8569b0"}, 1337 | {file = "tenacity-8.2.2.tar.gz", hash = "sha256:43af037822bd0029025877f3b2d97cc4d7bb0c2991000a3d59d71517c5c969e0"}, 1338 | ] 1339 | 1340 | [package.extras] 1341 | doc = ["reno", "sphinx", "tornado (>=4.5)"] 1342 | 1343 | [[package]] 1344 | name = "tiktoken" 1345 | version = "0.3.3" 1346 | description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" 1347 | category = "main" 1348 | optional = false 1349 | python-versions = ">=3.8" 1350 | files = [ 1351 | {file = "tiktoken-0.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1f37fa75ba70c1bc7806641e8ccea1fba667d23e6341a1591ea333914c226a9"}, 1352 | {file = "tiktoken-0.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3d7296c38392a943c2ccc0b61323086b8550cef08dcf6855de9949890dbc1fd3"}, 1353 | {file = "tiktoken-0.3.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c84491965e139a905280ac28b74baaa13445b3678e07f96767089ad1ef5ee7b"}, 1354 | {file = "tiktoken-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65970d77ea85ce6c7fce45131da9258cd58a802ffb29ead8f5552e331c025b2b"}, 1355 | {file = "tiktoken-0.3.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bd3f72d0ba7312c25c1652292121a24c8f1711207b63c6d8dab21afe4be0bf04"}, 1356 | {file = "tiktoken-0.3.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:719c9e13432602dc496b24f13e3c3ad3ec0d2fbdb9aace84abfb95e9c3a425a4"}, 1357 | {file = "tiktoken-0.3.3-cp310-cp310-win_amd64.whl", hash = "sha256:dc00772284c94e65045b984ed7e9f95d000034f6b2411df252011b069bd36217"}, 1358 | {file = "tiktoken-0.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4db2c40f79f8f7a21a9fdbf1c6dee32dea77b0d7402355dc584a3083251d2e15"}, 1359 | {file = "tiktoken-0.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e3c0f2231aa3829a1a431a882201dc27858634fd9989898e0f7d991dbc6bcc9d"}, 1360 | {file = "tiktoken-0.3.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48c13186a479de16cfa2c72bb0631fa9c518350a5b7569e4d77590f7fee96be9"}, 1361 | {file = "tiktoken-0.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6674e4e37ab225020135cd66a392589623d5164c6456ba28cc27505abed10d9e"}, 1362 | {file = "tiktoken-0.3.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:4a0c1357f6191211c544f935d5aa3cb9d7abd118c8f3c7124196d5ecd029b4af"}, 1363 | {file = "tiktoken-0.3.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2e948d167fc3b04483cbc33426766fd742e7cefe5346cd62b0cbd7279ef59539"}, 1364 | {file = "tiktoken-0.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:5dca434c8680b987eacde2dbc449e9ea4526574dbf9f3d8938665f638095be82"}, 1365 | {file = "tiktoken-0.3.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:984758ebc07cd8c557345697c234f1f221bd730b388f4340dd08dffa50213a01"}, 1366 | {file = "tiktoken-0.3.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:891012f29e159a989541ae47259234fb29ff88c22e1097567316e27ad33a3734"}, 1367 | {file = "tiktoken-0.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:210f8602228e4c5d706deeb389da5a152b214966a5aa558eec87b57a1969ced5"}, 1368 | {file = "tiktoken-0.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd783564f80d4dc44ff0a64b13756ded8390ed2548549aefadbe156af9188307"}, 1369 | {file = "tiktoken-0.3.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:03f64bde9b4eb8338bf49c8532bfb4c3578f6a9a6979fc176d939f9e6f68b408"}, 1370 | {file = "tiktoken-0.3.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:1ac369367b6f5e5bd80e8f9a7766ac2a9c65eda2aa856d5f3c556d924ff82986"}, 1371 | {file = "tiktoken-0.3.3-cp38-cp38-win_amd64.whl", hash = "sha256:94600798891f78db780e5aa9321456cf355e54a4719fbd554147a628de1f163f"}, 1372 | {file = "tiktoken-0.3.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e59db6fca8d5ccea302fe2888917364446d6f4201a25272a1a1c44975c65406a"}, 1373 | {file = "tiktoken-0.3.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:19340d8ba4d6fd729b2e3a096a547ded85f71012843008f97475f9db484869ee"}, 1374 | {file = "tiktoken-0.3.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:542686cbc9225540e3a10f472f82fa2e1bebafce2233a211dee8459e95821cfd"}, 1375 | {file = "tiktoken-0.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a43612b2a09f4787c050163a216bf51123851859e9ab128ad03d2729826cde9"}, 1376 | {file = "tiktoken-0.3.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a11674f0275fa75fb59941b703650998bd4acb295adbd16fc8af17051aaed19d"}, 1377 | {file = "tiktoken-0.3.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:65fc0a449630bab28c30b4adec257442a4706d79cffc2337c1d9df3e91825cdd"}, 1378 | {file = "tiktoken-0.3.3-cp39-cp39-win_amd64.whl", hash = "sha256:0b9a7a9a8b781a50ee9289e85e28771d7e113cc0c656eadfb6fc6d3a106ff9bb"}, 1379 | {file = "tiktoken-0.3.3.tar.gz", hash = "sha256:97b58b7bfda945791ec855e53d166e8ec20c6378942b93851a6c919ddf9d0496"}, 1380 | ] 1381 | 1382 | [package.dependencies] 1383 | regex = ">=2022.1.18" 1384 | requests = ">=2.26.0" 1385 | 1386 | [package.extras] 1387 | blobfile = ["blobfile (>=2)"] 1388 | 1389 | [[package]] 1390 | name = "tomli" 1391 | version = "2.0.1" 1392 | description = "A lil' TOML parser" 1393 | category = "dev" 1394 | optional = false 1395 | python-versions = ">=3.7" 1396 | files = [ 1397 | {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"}, 1398 | {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, 1399 | ] 1400 | 1401 | [[package]] 1402 | name = "tqdm" 1403 | version = "4.65.0" 1404 | description = "Fast, Extensible Progress Meter" 1405 | category = "main" 1406 | optional = false 1407 | python-versions = ">=3.7" 1408 | files = [ 1409 | {file = "tqdm-4.65.0-py3-none-any.whl", hash = "sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671"}, 1410 | {file = "tqdm-4.65.0.tar.gz", hash = "sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5"}, 1411 | ] 1412 | 1413 | [package.dependencies] 1414 | colorama = {version = "*", markers = "platform_system == \"Windows\""} 1415 | 1416 | [package.extras] 1417 | dev = ["py-make (>=0.1.0)", "twine", "wheel"] 1418 | notebook = ["ipywidgets (>=6)"] 1419 | slack = ["slack-sdk"] 1420 | telegram = ["requests"] 1421 | 1422 | [[package]] 1423 | name = "typing-extensions" 1424 | version = "4.5.0" 1425 | description = "Backported and Experimental Type Hints for Python 3.7+" 1426 | category = "main" 1427 | optional = false 1428 | python-versions = ">=3.7" 1429 | files = [ 1430 | {file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"}, 1431 | {file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"}, 1432 | ] 1433 | 1434 | [[package]] 1435 | name = "typing-inspect" 1436 | version = "0.8.0" 1437 | description = "Runtime inspection utilities for typing module." 1438 | category = "main" 1439 | optional = false 1440 | python-versions = "*" 1441 | files = [ 1442 | {file = "typing_inspect-0.8.0-py3-none-any.whl", hash = "sha256:5fbf9c1e65d4fa01e701fe12a5bca6c6e08a4ffd5bc60bfac028253a447c5188"}, 1443 | {file = "typing_inspect-0.8.0.tar.gz", hash = "sha256:8b1ff0c400943b6145df8119c41c244ca8207f1f10c9c057aeed1560e4806e3d"}, 1444 | ] 1445 | 1446 | [package.dependencies] 1447 | mypy-extensions = ">=0.3.0" 1448 | typing-extensions = ">=3.7.4" 1449 | 1450 | [[package]] 1451 | name = "urllib3" 1452 | version = "1.26.15" 1453 | description = "HTTP library with thread-safe connection pooling, file post, and more." 1454 | category = "main" 1455 | optional = false 1456 | python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" 1457 | files = [ 1458 | {file = "urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"}, 1459 | {file = "urllib3-1.26.15.tar.gz", hash = "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305"}, 1460 | ] 1461 | 1462 | [package.extras] 1463 | brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"] 1464 | secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] 1465 | socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] 1466 | 1467 | [[package]] 1468 | name = "yarl" 1469 | version = "1.8.2" 1470 | description = "Yet another URL library" 1471 | category = "main" 1472 | optional = false 1473 | python-versions = ">=3.7" 1474 | files = [ 1475 | {file = "yarl-1.8.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:bb81f753c815f6b8e2ddd2eef3c855cf7da193b82396ac013c661aaa6cc6b0a5"}, 1476 | {file = "yarl-1.8.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:47d49ac96156f0928f002e2424299b2c91d9db73e08c4cd6742923a086f1c863"}, 1477 | {file = "yarl-1.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3fc056e35fa6fba63248d93ff6e672c096f95f7836938241ebc8260e062832fe"}, 1478 | {file = "yarl-1.8.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58a3c13d1c3005dbbac5c9f0d3210b60220a65a999b1833aa46bd6677c69b08e"}, 1479 | {file = "yarl-1.8.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:10b08293cda921157f1e7c2790999d903b3fd28cd5c208cf8826b3b508026996"}, 1480 | {file = "yarl-1.8.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de986979bbd87272fe557e0a8fcb66fd40ae2ddfe28a8b1ce4eae22681728fef"}, 1481 | {file = "yarl-1.8.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c4fcfa71e2c6a3cb568cf81aadc12768b9995323186a10827beccf5fa23d4f8"}, 1482 | {file = "yarl-1.8.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae4d7ff1049f36accde9e1ef7301912a751e5bae0a9d142459646114c70ecba6"}, 1483 | {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bf071f797aec5b96abfc735ab97da9fd8f8768b43ce2abd85356a3127909d146"}, 1484 | {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:74dece2bfc60f0f70907c34b857ee98f2c6dd0f75185db133770cd67300d505f"}, 1485 | {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:df60a94d332158b444301c7f569659c926168e4d4aad2cfbf4bce0e8fb8be826"}, 1486 | {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:63243b21c6e28ec2375f932a10ce7eda65139b5b854c0f6b82ed945ba526bff3"}, 1487 | {file = "yarl-1.8.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:cfa2bbca929aa742b5084fd4663dd4b87c191c844326fcb21c3afd2d11497f80"}, 1488 | {file = "yarl-1.8.2-cp310-cp310-win32.whl", hash = "sha256:b05df9ea7496df11b710081bd90ecc3a3db6adb4fee36f6a411e7bc91a18aa42"}, 1489 | {file = "yarl-1.8.2-cp310-cp310-win_amd64.whl", hash = "sha256:24ad1d10c9db1953291f56b5fe76203977f1ed05f82d09ec97acb623a7976574"}, 1490 | {file = "yarl-1.8.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:2a1fca9588f360036242f379bfea2b8b44cae2721859b1c56d033adfd5893634"}, 1491 | {file = "yarl-1.8.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f37db05c6051eff17bc832914fe46869f8849de5b92dc4a3466cd63095d23dfd"}, 1492 | {file = "yarl-1.8.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:77e913b846a6b9c5f767b14dc1e759e5aff05502fe73079f6f4176359d832581"}, 1493 | {file = "yarl-1.8.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0978f29222e649c351b173da2b9b4665ad1feb8d1daa9d971eb90df08702668a"}, 1494 | {file = "yarl-1.8.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:388a45dc77198b2460eac0aca1efd6a7c09e976ee768b0d5109173e521a19daf"}, 1495 | {file = "yarl-1.8.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2305517e332a862ef75be8fad3606ea10108662bc6fe08509d5ca99503ac2aee"}, 1496 | {file = "yarl-1.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42430ff511571940d51e75cf42f1e4dbdded477e71c1b7a17f4da76c1da8ea76"}, 1497 | {file = "yarl-1.8.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3150078118f62371375e1e69b13b48288e44f6691c1069340081c3fd12c94d5b"}, 1498 | {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c15163b6125db87c8f53c98baa5e785782078fbd2dbeaa04c6141935eb6dab7a"}, 1499 | {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4d04acba75c72e6eb90745447d69f84e6c9056390f7a9724605ca9c56b4afcc6"}, 1500 | {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:e7fd20d6576c10306dea2d6a5765f46f0ac5d6f53436217913e952d19237efc4"}, 1501 | {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:75c16b2a900b3536dfc7014905a128a2bea8fb01f9ee26d2d7d8db0a08e7cb2c"}, 1502 | {file = "yarl-1.8.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6d88056a04860a98341a0cf53e950e3ac9f4e51d1b6f61a53b0609df342cc8b2"}, 1503 | {file = "yarl-1.8.2-cp311-cp311-win32.whl", hash = "sha256:fb742dcdd5eec9f26b61224c23baea46c9055cf16f62475e11b9b15dfd5c117b"}, 1504 | {file = "yarl-1.8.2-cp311-cp311-win_amd64.whl", hash = "sha256:8c46d3d89902c393a1d1e243ac847e0442d0196bbd81aecc94fcebbc2fd5857c"}, 1505 | {file = "yarl-1.8.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:ceff9722e0df2e0a9e8a79c610842004fa54e5b309fe6d218e47cd52f791d7ef"}, 1506 | {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f6b4aca43b602ba0f1459de647af954769919c4714706be36af670a5f44c9c1"}, 1507 | {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1684a9bd9077e922300ecd48003ddae7a7474e0412bea38d4631443a91d61077"}, 1508 | {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ebb78745273e51b9832ef90c0898501006670d6e059f2cdb0e999494eb1450c2"}, 1509 | {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3adeef150d528ded2a8e734ebf9ae2e658f4c49bf413f5f157a470e17a4a2e89"}, 1510 | {file = "yarl-1.8.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57a7c87927a468e5a1dc60c17caf9597161d66457a34273ab1760219953f7f4c"}, 1511 | {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:efff27bd8cbe1f9bd127e7894942ccc20c857aa8b5a0327874f30201e5ce83d0"}, 1512 | {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:a783cd344113cb88c5ff7ca32f1f16532a6f2142185147822187913eb989f739"}, 1513 | {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:705227dccbe96ab02c7cb2c43e1228e2826e7ead880bb19ec94ef279e9555b5b"}, 1514 | {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:34c09b43bd538bf6c4b891ecce94b6fa4f1f10663a8d4ca589a079a5018f6ed7"}, 1515 | {file = "yarl-1.8.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:a48f4f7fea9a51098b02209d90297ac324241bf37ff6be6d2b0149ab2bd51b37"}, 1516 | {file = "yarl-1.8.2-cp37-cp37m-win32.whl", hash = "sha256:0414fd91ce0b763d4eadb4456795b307a71524dbacd015c657bb2a39db2eab89"}, 1517 | {file = "yarl-1.8.2-cp37-cp37m-win_amd64.whl", hash = "sha256:d881d152ae0007809c2c02e22aa534e702f12071e6b285e90945aa3c376463c5"}, 1518 | {file = "yarl-1.8.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5df5e3d04101c1e5c3b1d69710b0574171cc02fddc4b23d1b2813e75f35a30b1"}, 1519 | {file = "yarl-1.8.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7a66c506ec67eb3159eea5096acd05f5e788ceec7b96087d30c7d2865a243918"}, 1520 | {file = "yarl-1.8.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:2b4fa2606adf392051d990c3b3877d768771adc3faf2e117b9de7eb977741229"}, 1521 | {file = "yarl-1.8.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e21fb44e1eff06dd6ef971d4bdc611807d6bd3691223d9c01a18cec3677939e"}, 1522 | {file = "yarl-1.8.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:93202666046d9edadfe9f2e7bf5e0782ea0d497b6d63da322e541665d65a044e"}, 1523 | {file = "yarl-1.8.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fc77086ce244453e074e445104f0ecb27530d6fd3a46698e33f6c38951d5a0f1"}, 1524 | {file = "yarl-1.8.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64dd68a92cab699a233641f5929a40f02a4ede8c009068ca8aa1fe87b8c20ae3"}, 1525 | {file = "yarl-1.8.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1b372aad2b5f81db66ee7ec085cbad72c4da660d994e8e590c997e9b01e44901"}, 1526 | {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:e6f3515aafe0209dd17fb9bdd3b4e892963370b3de781f53e1746a521fb39fc0"}, 1527 | {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:dfef7350ee369197106805e193d420b75467b6cceac646ea5ed3049fcc950a05"}, 1528 | {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:728be34f70a190566d20aa13dc1f01dc44b6aa74580e10a3fb159691bc76909d"}, 1529 | {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:ff205b58dc2929191f68162633d5e10e8044398d7a45265f90a0f1d51f85f72c"}, 1530 | {file = "yarl-1.8.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:baf211dcad448a87a0d9047dc8282d7de59473ade7d7fdf22150b1d23859f946"}, 1531 | {file = "yarl-1.8.2-cp38-cp38-win32.whl", hash = "sha256:272b4f1599f1b621bf2aabe4e5b54f39a933971f4e7c9aa311d6d7dc06965165"}, 1532 | {file = "yarl-1.8.2-cp38-cp38-win_amd64.whl", hash = "sha256:326dd1d3caf910cd26a26ccbfb84c03b608ba32499b5d6eeb09252c920bcbe4f"}, 1533 | {file = "yarl-1.8.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:f8ca8ad414c85bbc50f49c0a106f951613dfa5f948ab69c10ce9b128d368baf8"}, 1534 | {file = "yarl-1.8.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:418857f837347e8aaef682679f41e36c24250097f9e2f315d39bae3a99a34cbf"}, 1535 | {file = "yarl-1.8.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ae0eec05ab49e91a78700761777f284c2df119376e391db42c38ab46fd662b77"}, 1536 | {file = "yarl-1.8.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:009a028127e0a1755c38b03244c0bea9d5565630db9c4cf9572496e947137a87"}, 1537 | {file = "yarl-1.8.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3edac5d74bb3209c418805bda77f973117836e1de7c000e9755e572c1f7850d0"}, 1538 | {file = "yarl-1.8.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:da65c3f263729e47351261351b8679c6429151ef9649bba08ef2528ff2c423b2"}, 1539 | {file = "yarl-1.8.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ef8fb25e52663a1c85d608f6dd72e19bd390e2ecaf29c17fb08f730226e3a08"}, 1540 | {file = "yarl-1.8.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bcd7bb1e5c45274af9a1dd7494d3c52b2be5e6bd8d7e49c612705fd45420b12d"}, 1541 | {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:44ceac0450e648de86da8e42674f9b7077d763ea80c8ceb9d1c3e41f0f0a9951"}, 1542 | {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:97209cc91189b48e7cfe777237c04af8e7cc51eb369004e061809bcdf4e55220"}, 1543 | {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:48dd18adcf98ea9cd721a25313aef49d70d413a999d7d89df44f469edfb38a06"}, 1544 | {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:e59399dda559688461762800d7fb34d9e8a6a7444fd76ec33220a926c8be1516"}, 1545 | {file = "yarl-1.8.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d617c241c8c3ad5c4e78a08429fa49e4b04bedfc507b34b4d8dceb83b4af3588"}, 1546 | {file = "yarl-1.8.2-cp39-cp39-win32.whl", hash = "sha256:cb6d48d80a41f68de41212f3dfd1a9d9898d7841c8f7ce6696cf2fd9cb57ef83"}, 1547 | {file = "yarl-1.8.2-cp39-cp39-win_amd64.whl", hash = "sha256:6604711362f2dbf7160df21c416f81fac0de6dbcf0b5445a2ef25478ecc4c778"}, 1548 | {file = "yarl-1.8.2.tar.gz", hash = "sha256:49d43402c6e3013ad0978602bf6bf5328535c48d192304b91b97a3c6790b1562"}, 1549 | ] 1550 | 1551 | [package.dependencies] 1552 | idna = ">=2.0" 1553 | multidict = ">=4.0" 1554 | 1555 | [metadata] 1556 | lock-version = "2.0" 1557 | python-versions = ">=3.8.1,<3.12" 1558 | content-hash = "376a695969d6f1ee013adc109b87193bfc06d7647adb0dc61ee141dc50b7ce35" 1559 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "agentx" 3 | version = "0.1.0" 4 | description = "An AI controller that relies on three LLM chains to perform tasks" 5 | authors = [] 6 | readme = "README.md" 7 | 8 | [tool.poetry.dependencies] 9 | python = ">=3.8.1,<3.12" 10 | langchain = "^0.0.144" 11 | openai = "^0.27.4" 12 | pydantic = "^1.10.7" 13 | faiss-cpu = "^1.7.3" 14 | tiktoken = "^0.3.3" 15 | google-search-results = "^2.4.2" 16 | python-dotenv = "^1.0.0" 17 | 18 | [tool.poetry.group.dev.dependencies] 19 | pytest = "^7.3.0" 20 | python-minifier = "^2.8.1" 21 | isort = "^5.12.0" 22 | black = "^23.3.0" 23 | flake8 = "^6.0.0" 24 | 25 | [tool.isort] 26 | profile = "black" 27 | multi_line_output = 3 28 | 29 | [build-system] 30 | requires = ["poetry-core"] 31 | build-backend = "poetry.core.masonry.api" 32 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- 1 | # tests/__init__.py 2 | -------------------------------------------------------------------------------- /tests/agents/__init__.py: -------------------------------------------------------------------------------- 1 | # tests/agents/__init__.py 2 | -------------------------------------------------------------------------------- /tests/agents/autogpt/__init__.py: -------------------------------------------------------------------------------- 1 | # tests/agents/autogpt/__init__.py 2 | -------------------------------------------------------------------------------- /tests/agents/autogpt/test_autogpt.py: -------------------------------------------------------------------------------- 1 | # tests/agents/autogpt/test_autogpt.py 2 | 3 | from unittest.mock import patch 4 | 5 | import pytest 6 | from langchain.agents import Tool 7 | from langchain.tools.file_management.read import ReadFileTool 8 | from langchain.tools.file_management.write import WriteFileTool 9 | from langchain.utilities import SerpAPIWrapper 10 | 11 | from agentx.agents.autogpt.autogpt_agent import AutoGPTAgent 12 | from agentx.memory.faiss import FAISSRetriever 13 | 14 | 15 | @pytest.fixture 16 | def autogpt_agent(): 17 | search = SerpAPIWrapper() 18 | 19 | tools = [ 20 | Tool( 21 | name="search", 22 | func=search.run, 23 | description="useful for when you need to answer questions about current events. " 24 | "You should ask targeted questions", 25 | ), 26 | WriteFileTool(), 27 | ReadFileTool(), 28 | ] 29 | 30 | memory = FAISSRetriever() 31 | agent = AutoGPTAgent(tools=tools, memory=memory) 32 | return agent 33 | 34 | 35 | @pytest.fixture 36 | def expected_result(): 37 | return { 38 | "thoughts": { 39 | "text": "I can use simple math to solve the problem of 11 + seven. " 40 | "I will use the 'write_file' command to save the result to a file for " 41 | "future reference.", 42 | "reasoning": "I can use basic arithmetic to solve the problem of 11 + seven. " 43 | "I will use the 'write_file' command to save the result to a file for " 44 | "future reference.", 45 | "plan": "- Use basic arithmetic to solve the problem of 11 + seven\n" 46 | "- Use the 'write_file' command to save the result to a file for future reference", 47 | "criticism": "I need to make sure I am using the most efficient command for " 48 | "the task at hand.", 49 | "speak": "I will solve the problem of 11 + seven using basic arithmetic " 50 | "and save the result to a file using the 'write_file' command.", 51 | }, 52 | "command": { 53 | "name": "write_file", 54 | "args": { 55 | "file_path": "math_result.txt", 56 | "text": "The result of 11 + seven is 18.", 57 | }, 58 | }, 59 | } 60 | 61 | 62 | def test_autogpt_agent(autogpt_agent): 63 | assert isinstance(autogpt_agent, AutoGPTAgent) 64 | 65 | 66 | def test_autogpt_agent_solve_math_problem_and_save_result_to_file( 67 | autogpt_agent, expected_result 68 | ): 69 | with patch.object(autogpt_agent, "run", return_value=expected_result): 70 | result = autogpt_agent.run(["Help me do math: 11 + seven"]) 71 | 72 | assert result["command"]["args"]["text"] == "The result of 11 + seven is 18." 73 | 74 | 75 | def test_autogpt_agent_write_math_result_to_file(autogpt_agent, expected_result): 76 | with patch.object(autogpt_agent, "run", return_value=expected_result): 77 | result = autogpt_agent.run(["Help me do math: 11 + seven"]) 78 | 79 | assert result["command"]["name"] == "write_file" 80 | assert result["command"]["args"]["file_path"] == "math_result.txt" 81 | -------------------------------------------------------------------------------- /tests/agents/babyagi/__init__.py: -------------------------------------------------------------------------------- 1 | # tests/agents/babyagi/__init__.py 2 | -------------------------------------------------------------------------------- /tests/agents/babyagi/chains/__init__.py: -------------------------------------------------------------------------------- 1 | # tests/agents/babyagi/chains/__init__.py 2 | -------------------------------------------------------------------------------- /tests/agents/babyagi/chains/test_task_creation_chain.py: -------------------------------------------------------------------------------- 1 | # tests/agents/babyagi/chains/test_task_creation_chain.py 2 | 3 | import pytest 4 | from langchain import PromptTemplate 5 | from langchain.llms import BaseLLM 6 | 7 | from agentx.agents.babyagi.chains import TaskCreationChain 8 | 9 | 10 | class TestTaskCreationChain: 11 | @pytest.fixture 12 | def creation_chain(self, openai_llm): 13 | return TaskCreationChain.from_llm(openai_llm) 14 | 15 | def test_from_llm(self, creation_chain): 16 | assert isinstance(creation_chain, TaskCreationChain) 17 | assert isinstance(creation_chain.llm, BaseLLM) 18 | assert isinstance(creation_chain.prompt, PromptTemplate) 19 | 20 | def test_task_creation(self, creation_chain): 21 | """Test the task creation functionality by executing a task with a 22 | given objective, result, task description, and incomplete tasks. 23 | Verify that the output is a string with an upticking number at the 24 | beginning of each line. 25 | """ 26 | objective = "Improve customer support" 27 | result = "Automated ticket categorization" 28 | task_description = ( 29 | "Categorize support tickets using natural language processing" 30 | ) 31 | incomplete_tasks = "1. Implement sentiment analysis," " 2. Develop chatbot" 32 | 33 | new_tasks_str = creation_chain.run( 34 | objective=objective, 35 | result=result, 36 | task_description=task_description, 37 | incomplete_tasks=incomplete_tasks, 38 | ) 39 | 40 | new_tasks = new_tasks_str.strip().splitlines() 41 | assert len(new_tasks) > 0 42 | for idx, task in enumerate(new_tasks, start=1): 43 | task_num, task_text = task.split(".", 1) 44 | assert int(task_num.strip()) == idx 45 | assert task_text.strip() 46 | 47 | assert len(new_tasks) > 0 48 | assert all(isinstance(task, str) for task in new_tasks) 49 | -------------------------------------------------------------------------------- /tests/agents/babyagi/chains/test_task_execution_chain.py: -------------------------------------------------------------------------------- 1 | # tests/agents/babyagi/chains/test_task_execution_chain.py 2 | 3 | import pytest 4 | from langchain import PromptTemplate 5 | from langchain.llms import BaseLLM 6 | 7 | from agentx.agents.babyagi.chains import TaskExecutionChain 8 | 9 | 10 | class TestTaskExecutionChain: 11 | @pytest.fixture 12 | def execution_chain(self, openai_llm): 13 | return TaskExecutionChain.from_llm(openai_llm) 14 | 15 | def test_from_llm(self, execution_chain): 16 | assert isinstance(execution_chain, TaskExecutionChain) 17 | assert isinstance(execution_chain.llm, BaseLLM) 18 | assert isinstance(execution_chain.prompt, PromptTemplate) 19 | 20 | def test_task_execution(self, execution_chain): 21 | objective = "Sort a list of numbers" 22 | context = "Previous task: find the largest number in a list" 23 | task = "Sort the list [5, 3, 1, 4, 2]" 24 | 25 | response = execution_chain.run(objective=objective, context=context, task=task) 26 | 27 | assert isinstance(response, str) 28 | assert "1, 2, 3, 4, 5" in response or "1 2 3 4 5" in response 29 | -------------------------------------------------------------------------------- /tests/agents/babyagi/chains/test_task_prioritization_chain.py: -------------------------------------------------------------------------------- 1 | # tests/agents/babyagi/chains/test_task_prioritization_chain.py 2 | 3 | import pytest 4 | from langchain import PromptTemplate 5 | from langchain.llms import BaseLLM 6 | 7 | from agentx.agents.babyagi.chains import TaskPrioritizationChain 8 | 9 | 10 | class TestTaskPrioritizationChain: 11 | @pytest.fixture 12 | def prioritization_chain(self, openai_llm): 13 | return TaskPrioritizationChain.from_llm(openai_llm) 14 | 15 | def test_from_llm(self, prioritization_chain): 16 | assert isinstance(prioritization_chain, TaskPrioritizationChain) 17 | assert isinstance(prioritization_chain.llm, BaseLLM) 18 | assert isinstance(prioritization_chain.prompt, PromptTemplate) 19 | 20 | def test_task_prioritization(self, prioritization_chain): 21 | """Test the task prioritization functionality of 22 | TaskPrioritizationChain. 23 | 24 | This test provides a list of tasks, a next task ID, 25 | and an objective to the TaskPrioritizationChain. It 26 | then checks that the returned string contains the 27 | expected prioritized tasks. 28 | """ 29 | task_names = """ 30 | [Solve the efficiency issues, 31 | Reason about potential efficiency issues] 32 | """ 33 | 34 | next_task_id = 3 35 | objective = "Improve overall team efficiency" 36 | 37 | prioritized_tasks_str = prioritization_chain.run( 38 | task_names=task_names, 39 | next_task_id=next_task_id, 40 | objective=objective, 41 | ) 42 | 43 | assert prioritized_tasks_str.strip().split("\n") == [ 44 | "3. Reason about potential efficiency issues", 45 | "4. Solve the efficiency issues", 46 | ] 47 | -------------------------------------------------------------------------------- /tests/agents/babyagi/test_utils.py: -------------------------------------------------------------------------------- 1 | # test_utils.py 2 | 3 | from unittest.mock import MagicMock 4 | 5 | import pytest 6 | 7 | from agentx.agents.babyagi.chains import TaskCreationChain, TaskPrioritizationChain 8 | from agentx.agents.babyagi.utils import ( 9 | _get_top_tasks, 10 | execute_task, 11 | get_next_task, 12 | prioritize_tasks, 13 | ) 14 | 15 | 16 | class TestGetTopTasks: 17 | def test_get_top_tasks(self): 18 | # Create a mock vectorstore with sample tasks 19 | mock_vectorstore = MagicMock() 20 | mock_vectorstore.similarity_search_with_score.return_value = [ 21 | (MagicMock(metadata={"task": "Task 1"}), 0.8), 22 | (MagicMock(metadata={"task": "Task 2"}), 0.7), 23 | (MagicMock(metadata={"task": "Task 3"}), 0.6), 24 | ] 25 | 26 | query = "Sample query" 27 | k = 3 28 | 29 | top_tasks = _get_top_tasks( 30 | vectorstore=mock_vectorstore, 31 | query=query, 32 | k=k, 33 | ) 34 | 35 | assert isinstance(top_tasks, list) 36 | assert len(top_tasks) == k 37 | assert top_tasks == ["Task 1", "Task 2", "Task 3"] 38 | 39 | # Test with empty results 40 | mock_vectorstore.similarity_search_with_score.return_value = [] 41 | top_tasks = _get_top_tasks( 42 | vectorstore=mock_vectorstore, 43 | query=query, 44 | k=k, 45 | ) 46 | assert top_tasks == [] 47 | 48 | 49 | class TestExecuteTask: 50 | def test_execute_task(self): 51 | # Create a mock vectorstore 52 | mock_vectorstore = MagicMock() 53 | mock_vectorstore.similarity_search_with_score.return_value = [ 54 | (MagicMock(metadata={"task": "Task 1"}), 0.8), 55 | (MagicMock(metadata={"task": "Task 2"}), 0.7), 56 | ] 57 | 58 | # Create a mock execution_chain 59 | mock_execution_chain = MagicMock() 60 | mock_execution_chain.run.return_value = "Executed task result" 61 | 62 | objective = "Sample objective" 63 | task = "Sample task" 64 | k = 2 65 | 66 | executed_task_result = execute_task( 67 | vectorstore=mock_vectorstore, 68 | execution_chain=mock_execution_chain, 69 | objective=objective, 70 | task=task, 71 | k=k, 72 | ) 73 | 74 | assert isinstance(executed_task_result, str) 75 | assert executed_task_result == "Executed task result" 76 | 77 | # Test with k = 0 (empty context) 78 | k = 0 79 | executed_task_result = execute_task( 80 | vectorstore=mock_vectorstore, 81 | execution_chain=mock_execution_chain, 82 | objective=objective, 83 | task=task, 84 | k=k, 85 | ) 86 | assert executed_task_result == "Executed task result" 87 | 88 | 89 | class TestGetNextTask: 90 | @pytest.fixture 91 | def task_creation_chain(self, openai_llm): 92 | return TaskCreationChain.from_llm(openai_llm) 93 | 94 | def test_get_next_task(self, task_creation_chain): 95 | """Test the get_next_task function to ensure it returns a list of new 96 | tasks. 97 | 98 | Args: 99 | task_creation_chain (TaskCreationChain): An instance of the 100 | TaskCreationChain class. 101 | 102 | This test checks if the function returns a list of dictionaries with a 103 | "task_name" key. 104 | """ 105 | 106 | result = "The last task was completed successfully." 107 | task_description = "The last task was to analyze customer feedback." 108 | task_list = [ 109 | "Improve customer support response time", 110 | "Update knowledge base articles", 111 | ] 112 | objective = "Enhance customer satisfaction" 113 | 114 | new_tasks = get_next_task( 115 | task_creation_chain=task_creation_chain, 116 | result=result, 117 | task_description=task_description, 118 | task_list=task_list, 119 | objective=objective, 120 | ) 121 | 122 | assert isinstance(new_tasks, list) 123 | assert all(isinstance(task, dict) for task in new_tasks) 124 | assert all("task_name" in task for task in new_tasks) 125 | 126 | 127 | class TestPrioritizeTasks: 128 | """Test class for the prioritize_tasks function.""" 129 | 130 | @pytest.fixture 131 | def task_prioritization_chain(self, openai_llm): 132 | return TaskPrioritizationChain.from_llm(openai_llm) 133 | 134 | def test_prioritize_tasks(self, task_prioritization_chain): 135 | """Test the prioritize_tasks function to ensure it returns a list 136 | of prioritized tasks. 137 | 138 | Args: 139 | task_prioritization_chain (TaskPrioritizationChain): 140 | An instance of the TaskPrioritizationChain class. 141 | 142 | This test checks if the function returns a list of dictionaries with 143 | a "task_id" and "task_name" key. 144 | """ 145 | this_task_id = 1 146 | task_list = [ 147 | {"task_name": "Improve customer support response time"}, 148 | {"task_name": "Update knowledge base articles"}, 149 | ] 150 | objective = "Enhance customer satisfaction" 151 | 152 | prioritized_tasks = prioritize_tasks( 153 | task_prioritization_chain=task_prioritization_chain, 154 | this_task_id=this_task_id, 155 | task_list=task_list, 156 | objective=objective, 157 | ) 158 | 159 | assert isinstance(prioritized_tasks, list) 160 | assert all(isinstance(task, dict) for task in prioritized_tasks) 161 | assert all( 162 | "task_id" in task and "task_name" in task for task in prioritized_tasks 163 | ) 164 | assert len(prioritized_tasks) == len(task_list) 165 | -------------------------------------------------------------------------------- /tests/conftest.py: -------------------------------------------------------------------------------- 1 | # tests/conftest.py 2 | 3 | import pytest 4 | from dotenv import load_dotenv 5 | from langchain.llms import OpenAI 6 | 7 | load_dotenv() 8 | 9 | 10 | @pytest.fixture() 11 | def openai_llm(): 12 | return OpenAI(temperature=0) 13 | --------------------------------------------------------------------------------