index int64 0 0 | repo_id stringclasses 596 values | file_path stringlengths 31 168 | content stringlengths 1 6.2M |
|---|---|---|---|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/ollama/pyproject.toml | [build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-ollama"
version = "0.2.1"
description = "An integration package connecting Ollama and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.mypy]
disallow_untyped_defs = "True"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/ollama"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-ollama%3D%3D0%22&expanded=true"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
ollama = ">=0.3.0,<1"
langchain-core = "^0.3.20"
[tool.ruff.lint]
select = [
"E", # pycodestyle
"F", # pyflakes
"I", # isort
"T201", # print
"D", # pydocstyle
]
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.lint.per-file-ignores]
"tests/**" = ["D"] # ignore docstring checks for tests
[tool.coverage.run]
omit = ["tests/*"]
[tool.pytest.ini_options]
addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5"
markers = [
"compile: mark placeholder test used to compile integration tests without running them",
]
asyncio_mode = "auto"
[tool.poetry.group.test]
optional = true
[tool.poetry.group.codespell]
optional = true
[tool.poetry.group.test_integration]
optional = true
[tool.poetry.group.lint]
optional = true
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.test.dependencies]
pytest = "^7.4.3"
pytest-asyncio = "^0.23.2"
syrupy = "^4.0.2"
pytest-socket = "^0.7.0"
pytest-watcher = "^0.3.4"
[tool.poetry.group.codespell.dependencies]
codespell = "^2.2.6"
[tool.poetry.group.test_integration.dependencies]
[tool.poetry.group.lint.dependencies]
ruff = "^0.1.8"
[tool.poetry.group.typing.dependencies]
mypy = "^1.7.1"
[tool.poetry.group.test.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.test.dependencies.langchain-tests]
path = "../../standard-tests"
develop = true
[tool.poetry.group.typing.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.dev.dependencies.langchain-core]
path = "../../core"
develop = true
|
0 | lc_public_repos/langchain/libs/partners/ollama | lc_public_repos/langchain/libs/partners/ollama/langchain_ollama/llms.py | """Ollama large language models."""
from typing import (
Any,
AsyncIterator,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Union,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models import BaseLLM, LangSmithParams
from langchain_core.outputs import GenerationChunk, LLMResult
from ollama import AsyncClient, Client, Options
from pydantic import PrivateAttr, model_validator
from typing_extensions import Self
class OllamaLLM(BaseLLM):
"""OllamaLLM large language models.
Example:
.. code-block:: python
from langchain_ollama import OllamaLLM
model = OllamaLLM(model="llama3")
model.invoke("Come up with 10 names for a song about parrots")
"""
model: str
"""Model name to use."""
mirostat: Optional[int] = None
"""Enable Mirostat sampling for controlling perplexity.
(default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)"""
mirostat_eta: Optional[float] = None
"""Influences how quickly the algorithm responds to feedback
from the generated text. A lower learning rate will result in
slower adjustments, while a higher learning rate will make
the algorithm more responsive. (Default: 0.1)"""
mirostat_tau: Optional[float] = None
"""Controls the balance between coherence and diversity
of the output. A lower value will result in more focused and
coherent text. (Default: 5.0)"""
num_ctx: Optional[int] = None
"""Sets the size of the context window used to generate the
next token. (Default: 2048) """
num_gpu: Optional[int] = None
"""The number of GPUs to use. On macOS it defaults to 1 to
enable metal support, 0 to disable."""
num_thread: Optional[int] = None
"""Sets the number of threads to use during computation.
By default, Ollama will detect this for optimal performance.
It is recommended to set this value to the number of physical
CPU cores your system has (as opposed to the logical number of cores)."""
num_predict: Optional[int] = None
"""Maximum number of tokens to predict when generating text.
(Default: 128, -1 = infinite generation, -2 = fill context)"""
repeat_last_n: Optional[int] = None
"""Sets how far back for the model to look back to prevent
repetition. (Default: 64, 0 = disabled, -1 = num_ctx)"""
repeat_penalty: Optional[float] = None
"""Sets how strongly to penalize repetitions. A higher value (e.g., 1.5)
will penalize repetitions more strongly, while a lower value (e.g., 0.9)
will be more lenient. (Default: 1.1)"""
temperature: Optional[float] = None
"""The temperature of the model. Increasing the temperature will
make the model answer more creatively. (Default: 0.8)"""
stop: Optional[List[str]] = None
"""Sets the stop tokens to use."""
tfs_z: Optional[float] = None
"""Tail free sampling is used to reduce the impact of less probable
tokens from the output. A higher value (e.g., 2.0) will reduce the
impact more, while a value of 1.0 disables this setting. (default: 1)"""
top_k: Optional[int] = None
"""Reduces the probability of generating nonsense. A higher value (e.g. 100)
will give more diverse answers, while a lower value (e.g. 10)
will be more conservative. (Default: 40)"""
top_p: Optional[float] = None
"""Works together with top-k. A higher value (e.g., 0.95) will lead
to more diverse text, while a lower value (e.g., 0.5) will
generate more focused and conservative text. (Default: 0.9)"""
format: Literal["", "json"] = ""
"""Specify the format of the output (options: json)"""
keep_alive: Optional[Union[int, str]] = None
"""How long the model will stay loaded into memory."""
base_url: Optional[str] = None
"""Base url the model is hosted under."""
client_kwargs: Optional[dict] = {}
"""Additional kwargs to pass to the httpx Client.
For a full list of the params, see [this link](https://pydoc.dev/httpx/latest/httpx.Client.html)
"""
_client: Client = PrivateAttr(default=None) # type: ignore
"""
The client to use for making requests.
"""
_async_client: AsyncClient = PrivateAttr(default=None) # type: ignore
"""
The async client to use for making requests.
"""
def _generate_params(
self,
prompt: str,
stop: Optional[List[str]] = None,
**kwargs: Any,
) -> Dict[str, Any]:
if self.stop is not None and stop is not None:
raise ValueError("`stop` found in both the input and default params.")
elif self.stop is not None:
stop = self.stop
options_dict = kwargs.pop(
"options",
{
"mirostat": self.mirostat,
"mirostat_eta": self.mirostat_eta,
"mirostat_tau": self.mirostat_tau,
"num_ctx": self.num_ctx,
"num_gpu": self.num_gpu,
"num_thread": self.num_thread,
"num_predict": self.num_predict,
"repeat_last_n": self.repeat_last_n,
"repeat_penalty": self.repeat_penalty,
"temperature": self.temperature,
"stop": self.stop if stop is None else stop,
"tfs_z": self.tfs_z,
"top_k": self.top_k,
"top_p": self.top_p,
},
)
params = {
"prompt": prompt,
"stream": kwargs.pop("stream", True),
"model": kwargs.pop("model", self.model),
"format": kwargs.pop("format", self.format),
"options": Options(**options_dict),
"keep_alive": kwargs.pop("keep_alive", self.keep_alive),
**kwargs,
}
return params
@property
def _llm_type(self) -> str:
"""Return type of LLM."""
return "ollama-llm"
def _get_ls_params(
self, stop: Optional[List[str]] = None, **kwargs: Any
) -> LangSmithParams:
"""Get standard params for tracing."""
params = super()._get_ls_params(stop=stop, **kwargs)
if max_tokens := kwargs.get("num_predict", self.num_predict):
params["ls_max_tokens"] = max_tokens
return params
@model_validator(mode="after")
def _set_clients(self) -> Self:
"""Set clients to use for ollama."""
client_kwargs = self.client_kwargs or {}
self._client = Client(host=self.base_url, **client_kwargs)
self._async_client = AsyncClient(host=self.base_url, **client_kwargs)
return self
async def _acreate_generate_stream(
self,
prompt: str,
stop: Optional[List[str]] = None,
**kwargs: Any,
) -> AsyncIterator[Union[Mapping[str, Any], str]]:
async for part in await self._async_client.generate(
**self._generate_params(prompt, stop=stop, **kwargs)
): # type: ignore
yield part # type: ignore
def _create_generate_stream(
self,
prompt: str,
stop: Optional[List[str]] = None,
**kwargs: Any,
) -> Iterator[Union[Mapping[str, Any], str]]:
yield from self._client.generate(
**self._generate_params(prompt, stop=stop, **kwargs)
) # type: ignore
async def _astream_with_aggregation(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
verbose: bool = False,
**kwargs: Any,
) -> GenerationChunk:
final_chunk = None
async for stream_resp in self._acreate_generate_stream(prompt, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = GenerationChunk(
text=stream_resp["response"] if "response" in stream_resp else "",
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
)
if final_chunk is None:
final_chunk = chunk
else:
final_chunk += chunk
if run_manager:
await run_manager.on_llm_new_token(
chunk.text,
chunk=chunk,
verbose=verbose,
)
if final_chunk is None:
raise ValueError("No data received from Ollama stream.")
return final_chunk
def _stream_with_aggregation(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
verbose: bool = False,
**kwargs: Any,
) -> GenerationChunk:
final_chunk = None
for stream_resp in self._create_generate_stream(prompt, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = GenerationChunk(
text=stream_resp["response"] if "response" in stream_resp else "",
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
)
if final_chunk is None:
final_chunk = chunk
else:
final_chunk += chunk
if run_manager:
run_manager.on_llm_new_token(
chunk.text,
chunk=chunk,
verbose=verbose,
)
if final_chunk is None:
raise ValueError("No data received from Ollama stream.")
return final_chunk
def _generate(
self,
prompts: List[str],
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> LLMResult:
generations = []
for prompt in prompts:
final_chunk = self._stream_with_aggregation(
prompt,
stop=stop,
run_manager=run_manager,
verbose=self.verbose,
**kwargs,
)
generations.append([final_chunk])
return LLMResult(generations=generations) # type: ignore[arg-type]
async def _agenerate(
self,
prompts: List[str],
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> LLMResult:
generations = []
for prompt in prompts:
final_chunk = await self._astream_with_aggregation(
prompt,
stop=stop,
run_manager=run_manager,
verbose=self.verbose,
**kwargs,
)
generations.append([final_chunk])
return LLMResult(generations=generations) # type: ignore[arg-type]
def _stream(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> Iterator[GenerationChunk]:
for stream_resp in self._create_generate_stream(prompt, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = GenerationChunk(
text=(stream_resp.get("response", "")),
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
)
if run_manager:
run_manager.on_llm_new_token(
chunk.text,
verbose=self.verbose,
)
yield chunk
async def _astream(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> AsyncIterator[GenerationChunk]:
async for stream_resp in self._acreate_generate_stream(prompt, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = GenerationChunk(
text=(stream_resp.get("response", "")),
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
)
if run_manager:
await run_manager.on_llm_new_token(
chunk.text,
verbose=self.verbose,
)
yield chunk
|
0 | lc_public_repos/langchain/libs/partners/ollama | lc_public_repos/langchain/libs/partners/ollama/langchain_ollama/chat_models.py | """Ollama chat models."""
import json
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Sequence,
Type,
Union,
cast,
)
from uuid import uuid4
from langchain_core.callbacks import (
CallbackManagerForLLMRun,
)
from langchain_core.callbacks.manager import AsyncCallbackManagerForLLMRun
from langchain_core.exceptions import OutputParserException
from langchain_core.language_models import LanguageModelInput
from langchain_core.language_models.chat_models import BaseChatModel, LangSmithParams
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
BaseMessage,
HumanMessage,
SystemMessage,
ToolCall,
ToolMessage,
)
from langchain_core.messages.ai import UsageMetadata
from langchain_core.messages.tool import tool_call
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
from langchain_core.runnables import Runnable
from langchain_core.tools import BaseTool
from langchain_core.utils.function_calling import convert_to_openai_tool
from ollama import AsyncClient, Client, Message, Options
from pydantic import PrivateAttr, model_validator
from typing_extensions import Self
def _get_usage_metadata_from_generation_info(
generation_info: Optional[Mapping[str, Any]],
) -> Optional[UsageMetadata]:
"""Get usage metadata from ollama generation info mapping."""
if generation_info is None:
return None
input_tokens: Optional[int] = generation_info.get("prompt_eval_count")
output_tokens: Optional[int] = generation_info.get("eval_count")
if input_tokens is not None and output_tokens is not None:
return UsageMetadata(
input_tokens=input_tokens,
output_tokens=output_tokens,
total_tokens=input_tokens + output_tokens,
)
return None
def _parse_json_string(
json_string: str, raw_tool_call: dict[str, Any], skip: bool
) -> Any:
"""Attempt to parse a JSON string for tool calling.
Args:
json_string: JSON string to parse.
skip: Whether to ignore parsing errors and return the value anyways.
raw_tool_call: Raw tool call to include in error message.
Returns:
The parsed JSON string.
Raises:
OutputParserException: If the JSON string wrong invalid and skip=False.
"""
try:
return json.loads(json_string)
except json.JSONDecodeError as e:
if skip:
return json_string
msg = (
f"Function {raw_tool_call['function']['name']} arguments:\n\n"
f"{raw_tool_call['function']['arguments']}\n\nare not valid JSON. "
f"Received JSONDecodeError {e}"
)
raise OutputParserException(msg) from e
except TypeError as e:
if skip:
return json_string
msg = (
f"Function {raw_tool_call['function']['name']} arguments:\n\n"
f"{raw_tool_call['function']['arguments']}\n\nare not a string or a "
f"dictionary. Received TypeError {e}"
)
raise OutputParserException(msg) from e
def _parse_arguments_from_tool_call(
raw_tool_call: dict[str, Any],
) -> Optional[dict[str, Any]]:
"""Parse arguments by trying to parse any shallowly nested string-encoded JSON.
Band-aid fix for issue in Ollama with inconsistent tool call argument structure.
Should be removed/changed if fixed upstream.
See https://github.com/ollama/ollama/issues/6155
"""
if "function" not in raw_tool_call:
return None
arguments = raw_tool_call["function"]["arguments"]
parsed_arguments = {}
if isinstance(arguments, dict):
for key, value in arguments.items():
if isinstance(value, str):
parsed_arguments[key] = _parse_json_string(
value, skip=True, raw_tool_call=raw_tool_call
)
else:
parsed_arguments[key] = value
else:
parsed_arguments = _parse_json_string(
arguments, skip=False, raw_tool_call=raw_tool_call
)
return parsed_arguments
def _get_tool_calls_from_response(
response: Mapping[str, Any],
) -> List[ToolCall]:
"""Get tool calls from ollama response."""
tool_calls = []
if "message" in response:
if raw_tool_calls := response["message"].get("tool_calls"):
for tc in raw_tool_calls:
tool_calls.append(
tool_call(
id=str(uuid4()),
name=tc["function"]["name"],
args=_parse_arguments_from_tool_call(tc) or {},
)
)
return tool_calls
def _lc_tool_call_to_openai_tool_call(tool_call: ToolCall) -> dict:
return {
"type": "function",
"id": tool_call["id"],
"function": {
"name": tool_call["name"],
"arguments": tool_call["args"],
},
}
class ChatOllama(BaseChatModel):
r"""Ollama chat model integration.
.. dropdown:: Setup
:open:
Install ``langchain-ollama`` and download any models you want to use from ollama.
.. code-block:: bash
ollama pull mistral:v0.3
pip install -U langchain-ollama
Key init args — completion params:
model: str
Name of Ollama model to use.
temperature: float
Sampling temperature. Ranges from 0.0 to 1.0.
num_predict: Optional[int]
Max number of tokens to generate.
See full list of supported init args and their descriptions in the params section.
Instantiate:
.. code-block:: python
from langchain_ollama import ChatOllama
llm = ChatOllama(
model = "llama3",
temperature = 0.8,
num_predict = 256,
# other params ...
)
Invoke:
.. code-block:: python
messages = [
("system", "You are a helpful translator. Translate the user sentence to French."),
("human", "I love programming."),
]
llm.invoke(messages)
.. code-block:: python
AIMessage(content='J'adore le programmation. (Note: "programming" can also refer to the act of writing code, so if you meant that, I could translate it as "J'adore programmer". But since you didn\'t specify, I assumed you were talking about the activity itself, which is what "le programmation" usually refers to.)', response_metadata={'model': 'llama3', 'created_at': '2024-07-04T03:37:50.182604Z', 'message': {'role': 'assistant', 'content': ''}, 'done_reason': 'stop', 'done': True, 'total_duration': 3576619666, 'load_duration': 788524916, 'prompt_eval_count': 32, 'prompt_eval_duration': 128125000, 'eval_count': 71, 'eval_duration': 2656556000}, id='run-ba48f958-6402-41a5-b461-5e250a4ebd36-0')
Stream:
.. code-block:: python
messages = [
("human", "Return the words Hello World!"),
]
for chunk in llm.stream(messages):
print(chunk)
.. code-block:: python
content='Hello' id='run-327ff5ad-45c8-49fe-965c-0a93982e9be1'
content=' World' id='run-327ff5ad-45c8-49fe-965c-0a93982e9be1'
content='!' id='run-327ff5ad-45c8-49fe-965c-0a93982e9be1'
content='' response_metadata={'model': 'llama3', 'created_at': '2024-07-04T03:39:42.274449Z', 'message': {'role': 'assistant', 'content': ''}, 'done_reason': 'stop', 'done': True, 'total_duration': 411875125, 'load_duration': 1898166, 'prompt_eval_count': 14, 'prompt_eval_duration': 297320000, 'eval_count': 4, 'eval_duration': 111099000} id='run-327ff5ad-45c8-49fe-965c-0a93982e9be1'
.. code-block:: python
stream = llm.stream(messages)
full = next(stream)
for chunk in stream:
full += chunk
full
.. code-block:: python
AIMessageChunk(content='Je adore le programmation.(Note: "programmation" is the formal way to say "programming" in French, but informally, people might use the phrase "le développement logiciel" or simply "le code")', response_metadata={'model': 'llama3', 'created_at': '2024-07-04T03:38:54.933154Z', 'message': {'role': 'assistant', 'content': ''}, 'done_reason': 'stop', 'done': True, 'total_duration': 1977300042, 'load_duration': 1345709, 'prompt_eval_duration': 159343000, 'eval_count': 47, 'eval_duration': 1815123000}, id='run-3c81a3ed-3e79-4dd3-a796-04064d804890')
Async:
.. code-block:: python
messages = [
("human", "Hello how are you!"),
]
await llm.ainvoke(messages)
.. code-block:: python
AIMessage(content="Hi there! I'm just an AI, so I don't have feelings or emotions like humans do. But I'm functioning properly and ready to help with any questions or tasks you may have! How can I assist you today?", response_metadata={'model': 'llama3', 'created_at': '2024-07-04T03:52:08.165478Z', 'message': {'role': 'assistant', 'content': ''}, 'done_reason': 'stop', 'done': True, 'total_duration': 2138492875, 'load_duration': 1364000, 'prompt_eval_count': 10, 'prompt_eval_duration': 297081000, 'eval_count': 47, 'eval_duration': 1838524000}, id='run-29c510ae-49a4-4cdd-8f23-b972bfab1c49-0')
.. code-block:: python
messages = [
("human", "Say hello world!"),
]
async for chunk in llm.astream(messages):
print(chunk.content)
.. code-block:: python
HEL
LO
WORLD
!
.. code-block:: python
messages = [
("human", "Say hello world!"),
("human","Say goodbye world!")
]
await llm.abatch(messages)
.. code-block:: python
[AIMessage(content='HELLO, WORLD!', response_metadata={'model': 'llama3', 'created_at': '2024-07-04T03:55:07.315396Z', 'message': {'role': 'assistant', 'content': ''}, 'done_reason': 'stop', 'done': True, 'total_duration': 1696745458, 'load_duration': 1505000, 'prompt_eval_count': 8, 'prompt_eval_duration': 111627000, 'eval_count': 6, 'eval_duration': 185181000}, id='run-da6c7562-e25a-4a44-987a-2c83cd8c2686-0'),
AIMessage(content="It's been a blast chatting with you! Say goodbye to the world for me, and don't forget to come back and visit us again soon!", response_metadata={'model': 'llama3', 'created_at': '2024-07-04T03:55:07.018076Z', 'message': {'role': 'assistant', 'content': ''}, 'done_reason': 'stop', 'done': True, 'total_duration': 1399391083, 'load_duration': 1187417, 'prompt_eval_count': 20, 'prompt_eval_duration': 230349000, 'eval_count': 31, 'eval_duration': 1166047000}, id='run-96cad530-6f3e-4cf9-86b4-e0f8abba4cdb-0')]
JSON mode:
.. code-block:: python
json_llm = ChatOllama(format="json")
messages = [
("human", "Return a query for the weather in a random location and time of day with two keys: location and time_of_day. Respond using JSON only."),
]
llm.invoke(messages).content
.. code-block:: python
'{"location": "Pune, India", "time_of_day": "morning"}'
Tool Calling:
.. warning::
Ollama currently does not support streaming for tools
.. code-block:: python
from langchain_ollama import ChatOllama
from pydantic import BaseModel, Field
class Multiply(BaseModel):
a: int = Field(..., description="First integer")
b: int = Field(..., description="Second integer")
ans = await chat.invoke("What is 45*67")
ans.tool_calls
.. code-block:: python
[{'name': 'Multiply',
'args': {'a': 45, 'b': 67},
'id': '420c3f3b-df10-4188-945f-eb3abdb40622',
'type': 'tool_call'}]
""" # noqa: E501
model: str
"""Model name to use."""
mirostat: Optional[int] = None
"""Enable Mirostat sampling for controlling perplexity.
(default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)"""
mirostat_eta: Optional[float] = None
"""Influences how quickly the algorithm responds to feedback
from the generated text. A lower learning rate will result in
slower adjustments, while a higher learning rate will make
the algorithm more responsive. (Default: 0.1)"""
mirostat_tau: Optional[float] = None
"""Controls the balance between coherence and diversity
of the output. A lower value will result in more focused and
coherent text. (Default: 5.0)"""
num_ctx: Optional[int] = None
"""Sets the size of the context window used to generate the
next token. (Default: 2048) """
num_gpu: Optional[int] = None
"""The number of GPUs to use. On macOS it defaults to 1 to
enable metal support, 0 to disable."""
num_thread: Optional[int] = None
"""Sets the number of threads to use during computation.
By default, Ollama will detect this for optimal performance.
It is recommended to set this value to the number of physical
CPU cores your system has (as opposed to the logical number of cores)."""
num_predict: Optional[int] = None
"""Maximum number of tokens to predict when generating text.
(Default: 128, -1 = infinite generation, -2 = fill context)"""
repeat_last_n: Optional[int] = None
"""Sets how far back for the model to look back to prevent
repetition. (Default: 64, 0 = disabled, -1 = num_ctx)"""
repeat_penalty: Optional[float] = None
"""Sets how strongly to penalize repetitions. A higher value (e.g., 1.5)
will penalize repetitions more strongly, while a lower value (e.g., 0.9)
will be more lenient. (Default: 1.1)"""
temperature: Optional[float] = None
"""The temperature of the model. Increasing the temperature will
make the model answer more creatively. (Default: 0.8)"""
seed: Optional[int] = None
"""Sets the random number seed to use for generation. Setting this
to a specific number will make the model generate the same text for
the same prompt."""
stop: Optional[List[str]] = None
"""Sets the stop tokens to use."""
tfs_z: Optional[float] = None
"""Tail free sampling is used to reduce the impact of less probable
tokens from the output. A higher value (e.g., 2.0) will reduce the
impact more, while a value of 1.0 disables this setting. (default: 1)"""
top_k: Optional[int] = None
"""Reduces the probability of generating nonsense. A higher value (e.g. 100)
will give more diverse answers, while a lower value (e.g. 10)
will be more conservative. (Default: 40)"""
top_p: Optional[float] = None
"""Works together with top-k. A higher value (e.g., 0.95) will lead
to more diverse text, while a lower value (e.g., 0.5) will
generate more focused and conservative text. (Default: 0.9)"""
format: Literal["", "json"] = ""
"""Specify the format of the output (options: json)"""
keep_alive: Optional[Union[int, str]] = None
"""How long the model will stay loaded into memory."""
base_url: Optional[str] = None
"""Base url the model is hosted under."""
client_kwargs: Optional[dict] = {}
"""Additional kwargs to pass to the httpx Client.
For a full list of the params, see [this link](https://pydoc.dev/httpx/latest/httpx.Client.html)
"""
_client: Client = PrivateAttr(default=None) # type: ignore
"""
The client to use for making requests.
"""
_async_client: AsyncClient = PrivateAttr(default=None) # type: ignore
"""
The async client to use for making requests.
"""
def _chat_params(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
**kwargs: Any,
) -> Dict[str, Any]:
ollama_messages = self._convert_messages_to_ollama_messages(messages)
if self.stop is not None and stop is not None:
raise ValueError("`stop` found in both the input and default params.")
elif self.stop is not None:
stop = self.stop
options_dict = kwargs.pop(
"options",
{
"mirostat": self.mirostat,
"mirostat_eta": self.mirostat_eta,
"mirostat_tau": self.mirostat_tau,
"num_ctx": self.num_ctx,
"num_gpu": self.num_gpu,
"num_thread": self.num_thread,
"num_predict": self.num_predict,
"repeat_last_n": self.repeat_last_n,
"repeat_penalty": self.repeat_penalty,
"temperature": self.temperature,
"seed": self.seed,
"stop": self.stop if stop is None else stop,
"tfs_z": self.tfs_z,
"top_k": self.top_k,
"top_p": self.top_p,
},
)
tools = kwargs.get("tools")
default_stream = not bool(tools)
params = {
"messages": ollama_messages,
"stream": kwargs.pop("stream", default_stream),
"model": kwargs.pop("model", self.model),
"format": kwargs.pop("format", self.format),
"options": Options(**options_dict),
"keep_alive": kwargs.pop("keep_alive", self.keep_alive),
**kwargs,
}
if tools:
params["tools"] = tools
return params
@model_validator(mode="after")
def _set_clients(self) -> Self:
"""Set clients to use for ollama."""
client_kwargs = self.client_kwargs or {}
self._client = Client(host=self.base_url, **client_kwargs)
self._async_client = AsyncClient(host=self.base_url, **client_kwargs)
return self
def _convert_messages_to_ollama_messages(
self, messages: List[BaseMessage]
) -> Sequence[Message]:
ollama_messages: List = []
for message in messages:
role: Literal["user", "assistant", "system", "tool"]
tool_call_id: Optional[str] = None
tool_calls: Optional[List[Dict[str, Any]]] = None
if isinstance(message, HumanMessage):
role = "user"
elif isinstance(message, AIMessage):
role = "assistant"
tool_calls = (
[
_lc_tool_call_to_openai_tool_call(tool_call)
for tool_call in message.tool_calls
]
if message.tool_calls
else None
)
elif isinstance(message, SystemMessage):
role = "system"
elif isinstance(message, ToolMessage):
role = "tool"
tool_call_id = message.tool_call_id
else:
raise ValueError("Received unsupported message type for Ollama.")
content = ""
images = []
if isinstance(message.content, str):
content = message.content
else:
for content_part in cast(List[Dict], message.content):
if content_part.get("type") == "text":
content += f"\n{content_part['text']}"
elif content_part.get("type") == "tool_use":
continue
elif content_part.get("type") == "image_url":
image_url = None
temp_image_url = content_part.get("image_url")
if isinstance(temp_image_url, str):
image_url = temp_image_url
elif (
isinstance(temp_image_url, dict)
and "url" in temp_image_url
and isinstance(temp_image_url["url"], str)
):
image_url = temp_image_url["url"]
else:
raise ValueError(
"Only string image_url or dict with string 'url' "
"inside content parts are supported."
)
image_url_components = image_url.split(",")
# Support data:image/jpeg;base64,<image> format
# and base64 strings
if len(image_url_components) > 1:
images.append(image_url_components[1])
else:
images.append(image_url_components[0])
else:
raise ValueError(
"Unsupported message content type. "
"Must either have type 'text' or type 'image_url' "
"with a string 'image_url' field."
)
# Should convert to ollama.Message once role includes tool, and tool_call_id is in Message # noqa: E501
msg: dict = {
"role": role,
"content": content,
"images": images,
}
if tool_calls:
msg["tool_calls"] = tool_calls # type: ignore
if tool_call_id:
msg["tool_call_id"] = tool_call_id
ollama_messages.append(msg)
return ollama_messages
async def _acreate_chat_stream(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
**kwargs: Any,
) -> AsyncIterator[Union[Mapping[str, Any], str]]:
chat_params = self._chat_params(messages, stop, **kwargs)
if chat_params["stream"]:
async for part in await self._async_client.chat(**chat_params):
yield part
else:
yield await self._async_client.chat(**chat_params)
def _create_chat_stream(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
**kwargs: Any,
) -> Iterator[Union[Mapping[str, Any], str]]:
chat_params = self._chat_params(messages, stop, **kwargs)
if chat_params["stream"]:
yield from self._client.chat(**chat_params)
else:
yield self._client.chat(**chat_params)
def _chat_stream_with_aggregation(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
verbose: bool = False,
**kwargs: Any,
) -> ChatGenerationChunk:
final_chunk = None
for stream_resp in self._create_chat_stream(messages, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = ChatGenerationChunk(
message=AIMessageChunk(
content=(
stream_resp["message"]["content"]
if "message" in stream_resp
and "content" in stream_resp["message"]
else ""
),
usage_metadata=_get_usage_metadata_from_generation_info(
stream_resp
),
tool_calls=_get_tool_calls_from_response(stream_resp),
),
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
)
if final_chunk is None:
final_chunk = chunk
else:
final_chunk += chunk
if run_manager:
run_manager.on_llm_new_token(
chunk.text,
chunk=chunk,
verbose=verbose,
)
if final_chunk is None:
raise ValueError("No data received from Ollama stream.")
return final_chunk
async def _achat_stream_with_aggregation(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
verbose: bool = False,
**kwargs: Any,
) -> ChatGenerationChunk:
final_chunk = None
async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = ChatGenerationChunk(
message=AIMessageChunk(
content=(
stream_resp["message"]["content"]
if "message" in stream_resp
and "content" in stream_resp["message"]
else ""
),
usage_metadata=_get_usage_metadata_from_generation_info(
stream_resp
),
tool_calls=_get_tool_calls_from_response(stream_resp),
),
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
)
if final_chunk is None:
final_chunk = chunk
else:
final_chunk += chunk
if run_manager:
await run_manager.on_llm_new_token(
chunk.text,
chunk=chunk,
verbose=verbose,
)
if final_chunk is None:
raise ValueError("No data received from Ollama stream.")
return final_chunk
def _get_ls_params(
self, stop: Optional[List[str]] = None, **kwargs: Any
) -> LangSmithParams:
"""Get standard params for tracing."""
params = self._get_invocation_params(stop=stop, **kwargs)
ls_params = LangSmithParams(
ls_provider="ollama",
ls_model_name=self.model,
ls_model_type="chat",
ls_temperature=params.get("temperature", self.temperature),
)
if ls_stop := stop or params.get("stop", None) or self.stop:
ls_params["ls_stop"] = ls_stop
return ls_params
def _generate(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> ChatResult:
final_chunk = self._chat_stream_with_aggregation(
messages, stop, run_manager, verbose=self.verbose, **kwargs
)
generation_info = final_chunk.generation_info
chat_generation = ChatGeneration(
message=AIMessage(
content=final_chunk.text,
usage_metadata=cast(AIMessageChunk, final_chunk.message).usage_metadata,
tool_calls=cast(AIMessageChunk, final_chunk.message).tool_calls,
),
generation_info=generation_info,
)
return ChatResult(generations=[chat_generation])
def _stream(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> Iterator[ChatGenerationChunk]:
for stream_resp in self._create_chat_stream(messages, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = ChatGenerationChunk(
message=AIMessageChunk(
content=(
stream_resp["message"]["content"]
if "message" in stream_resp
and "content" in stream_resp["message"]
else ""
),
usage_metadata=_get_usage_metadata_from_generation_info(
stream_resp
),
tool_calls=_get_tool_calls_from_response(stream_resp),
),
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
)
if run_manager:
run_manager.on_llm_new_token(
chunk.text,
verbose=self.verbose,
)
yield chunk
async def _astream(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> AsyncIterator[ChatGenerationChunk]:
async for stream_resp in self._acreate_chat_stream(messages, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = ChatGenerationChunk(
message=AIMessageChunk(
content=(
stream_resp["message"]["content"]
if "message" in stream_resp
and "content" in stream_resp["message"]
else ""
),
usage_metadata=_get_usage_metadata_from_generation_info(
stream_resp
),
tool_calls=_get_tool_calls_from_response(stream_resp),
),
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
)
if run_manager:
await run_manager.on_llm_new_token(
chunk.text,
verbose=self.verbose,
)
yield chunk
async def _agenerate(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> ChatResult:
final_chunk = await self._achat_stream_with_aggregation(
messages, stop, run_manager, verbose=self.verbose, **kwargs
)
generation_info = final_chunk.generation_info
chat_generation = ChatGeneration(
message=AIMessage(
content=final_chunk.text,
usage_metadata=cast(AIMessageChunk, final_chunk.message).usage_metadata,
tool_calls=cast(AIMessageChunk, final_chunk.message).tool_calls,
),
generation_info=generation_info,
)
return ChatResult(generations=[chat_generation])
@property
def _llm_type(self) -> str:
"""Return type of chat model."""
return "chat-ollama"
def bind_tools(
self,
tools: Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]],
*,
tool_choice: Optional[Union[dict, str, Literal["auto", "any"], bool]] = None,
**kwargs: Any,
) -> Runnable[LanguageModelInput, BaseMessage]:
"""Bind tool-like objects to this chat model.
Assumes model is compatible with OpenAI tool-calling API.
Args:
tools: A list of tool definitions to bind to this chat model.
Supports any tool definition handled by
:meth:`langchain_core.utils.function_calling.convert_to_openai_tool`.
tool_choice: If provided, which tool for model to call. **This parameter
is currently ignored as it is not supported by Ollama.**
kwargs: Any additional parameters are passed directly to
``self.bind(**kwargs)``.
""" # noqa: E501
formatted_tools = [convert_to_openai_tool(tool) for tool in tools]
return super().bind(tools=formatted_tools, **kwargs)
|
0 | lc_public_repos/langchain/libs/partners/ollama | lc_public_repos/langchain/libs/partners/ollama/langchain_ollama/embeddings.py | """Ollama embeddings models."""
from typing import (
List,
Optional,
)
from langchain_core.embeddings import Embeddings
from ollama import AsyncClient, Client
from pydantic import (
BaseModel,
ConfigDict,
PrivateAttr,
model_validator,
)
from typing_extensions import Self
class OllamaEmbeddings(BaseModel, Embeddings):
"""Ollama embedding model integration.
Set up a local Ollama instance:
Install the Ollama package and set up a local Ollama instance
using the instructions here: https://github.com/ollama/ollama .
You will need to choose a model to serve.
You can view a list of available models via the model library (https://ollama.com/library).
To fetch a model from the Ollama model library use ``ollama pull <name-of-model>``.
For example, to pull the llama3 model:
.. code-block:: bash
ollama pull llama3
This will download the default tagged version of the model.
Typically, the default points to the latest, smallest sized-parameter model.
* On Mac, the models will be downloaded to ~/.ollama/models
* On Linux (or WSL), the models will be stored at /usr/share/ollama/.ollama/models
You can specify the exact version of the model of interest
as such ``ollama pull vicuna:13b-v1.5-16k-q4_0``.
To view pulled models:
.. code-block:: bash
ollama list
To start serving:
.. code-block:: bash
ollama serve
View the Ollama documentation for more commands.
.. code-block:: bash
ollama help
Install the langchain-ollama integration package:
.. code-block:: bash
pip install -U langchain_ollama
Key init args — completion params:
model: str
Name of Ollama model to use.
base_url: Optional[str]
Base url the model is hosted under.
See full list of supported init args and their descriptions in the params section.
Instantiate:
.. code-block:: python
from langchain_ollama import OllamaEmbeddings
embed = OllamaEmbeddings(
model="llama3"
)
Embed single text:
.. code-block:: python
input_text = "The meaning of life is 42"
vector = embed.embed_query(input_text)
print(vector[:3])
.. code-block:: python
[-0.024603435769677162, -0.007543657906353474, 0.0039630369283258915]
Embed multiple texts:
.. code-block:: python
input_texts = ["Document 1...", "Document 2..."]
vectors = embed.embed_documents(input_texts)
print(len(vectors))
# The first 3 coordinates for the first vector
print(vectors[0][:3])
.. code-block:: python
2
[-0.024603435769677162, -0.007543657906353474, 0.0039630369283258915]
Async:
.. code-block:: python
vector = await embed.aembed_query(input_text)
print(vector[:3])
# multiple:
# await embed.aembed_documents(input_texts)
.. code-block:: python
[-0.009100092574954033, 0.005071679595857859, -0.0029193938244134188]
""" # noqa: E501
model: str
"""Model name to use."""
base_url: Optional[str] = None
"""Base url the model is hosted under."""
client_kwargs: Optional[dict] = {}
"""Additional kwargs to pass to the httpx Client.
For a full list of the params, see [this link](https://pydoc.dev/httpx/latest/httpx.Client.html)
"""
_client: Client = PrivateAttr(default=None) # type: ignore
"""
The client to use for making requests.
"""
_async_client: AsyncClient = PrivateAttr(default=None) # type: ignore
"""
The async client to use for making requests.
"""
model_config = ConfigDict(
extra="forbid",
)
@model_validator(mode="after")
def _set_clients(self) -> Self:
"""Set clients to use for ollama."""
client_kwargs = self.client_kwargs or {}
self._client = Client(host=self.base_url, **client_kwargs)
self._async_client = AsyncClient(host=self.base_url, **client_kwargs)
return self
def embed_documents(self, texts: List[str]) -> List[List[float]]:
"""Embed search docs."""
embedded_docs = self._client.embed(self.model, texts)["embeddings"]
return embedded_docs
def embed_query(self, text: str) -> List[float]:
"""Embed query text."""
return self.embed_documents([text])[0]
async def aembed_documents(self, texts: List[str]) -> List[List[float]]:
"""Embed search docs."""
embedded_docs = (await self._async_client.embed(self.model, texts))[
"embeddings"
]
return embedded_docs
async def aembed_query(self, text: str) -> List[float]:
"""Embed query text."""
return (await self.aembed_documents([text]))[0]
|
0 | lc_public_repos/langchain/libs/partners/ollama | lc_public_repos/langchain/libs/partners/ollama/langchain_ollama/__init__.py | """This is the langchain_ollama package.
It provides infrastructure for interacting with the Ollama service.
"""
from importlib import metadata
from langchain_ollama.chat_models import ChatOllama
from langchain_ollama.embeddings import OllamaEmbeddings
from langchain_ollama.llms import OllamaLLM
try:
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
# Case where package metadata is not available.
__version__ = ""
del metadata # optional, avoids polluting the results of dir(__package__)
__all__ = [
"ChatOllama",
"OllamaLLM",
"OllamaEmbeddings",
"__version__",
]
|
0 | lc_public_repos/langchain/libs/partners/ollama/tests | lc_public_repos/langchain/libs/partners/ollama/tests/integration_tests/test_embeddings.py | """Test Ollama embeddings."""
from typing import Type
from langchain_tests.integration_tests import EmbeddingsIntegrationTests
from langchain_ollama.embeddings import OllamaEmbeddings
class TestOllamaEmbeddings(EmbeddingsIntegrationTests):
@property
def embeddings_class(self) -> Type[OllamaEmbeddings]:
return OllamaEmbeddings
@property
def embedding_model_params(self) -> dict:
return {"model": "llama3:latest"}
|
0 | lc_public_repos/langchain/libs/partners/ollama/tests | lc_public_repos/langchain/libs/partners/ollama/tests/integration_tests/test_llms.py | """Test OllamaLLM llm."""
from langchain_ollama.llms import OllamaLLM
MODEL_NAME = "llama3"
def test_stream() -> None:
"""Test streaming tokens from OpenAI."""
llm = OllamaLLM(model=MODEL_NAME)
for token in llm.stream("I'm Pickle Rick"):
assert isinstance(token, str)
async def test_astream() -> None:
"""Test streaming tokens from OpenAI."""
llm = OllamaLLM(model=MODEL_NAME)
async for token in llm.astream("I'm Pickle Rick"):
assert isinstance(token, str)
async def test_abatch() -> None:
"""Test streaming tokens from OllamaLLM."""
llm = OllamaLLM(model=MODEL_NAME)
result = await llm.abatch(["I'm Pickle Rick", "I'm not Pickle Rick"])
for token in result:
assert isinstance(token, str)
async def test_abatch_tags() -> None:
"""Test batch tokens from OllamaLLM."""
llm = OllamaLLM(model=MODEL_NAME)
result = await llm.abatch(
["I'm Pickle Rick", "I'm not Pickle Rick"], config={"tags": ["foo"]}
)
for token in result:
assert isinstance(token, str)
def test_batch() -> None:
"""Test batch tokens from OllamaLLM."""
llm = OllamaLLM(model=MODEL_NAME)
result = llm.batch(["I'm Pickle Rick", "I'm not Pickle Rick"])
for token in result:
assert isinstance(token, str)
async def test_ainvoke() -> None:
"""Test invoke tokens from OllamaLLM."""
llm = OllamaLLM(model=MODEL_NAME)
result = await llm.ainvoke("I'm Pickle Rick", config={"tags": ["foo"]})
assert isinstance(result, str)
def test_invoke() -> None:
"""Test invoke tokens from OllamaLLM."""
llm = OllamaLLM(model=MODEL_NAME)
result = llm.invoke("I'm Pickle Rick", config=dict(tags=["foo"]))
assert isinstance(result, str)
|
0 | lc_public_repos/langchain/libs/partners/ollama/tests | lc_public_repos/langchain/libs/partners/ollama/tests/integration_tests/test_compile.py | import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
|
0 | lc_public_repos/langchain/libs/partners/ollama/tests/integration_tests | lc_public_repos/langchain/libs/partners/ollama/tests/integration_tests/chat_models/test_chat_models.py | """Ollama specific chat model integration tests"""
from typing import List, Optional
import pytest
from pydantic import BaseModel, Field
from langchain_ollama import ChatOllama
@pytest.mark.parametrize(("model"), [("llama3.1")])
def test_structured_output_deeply_nested(model: str) -> None:
"""Test to verify structured output with a nested objects."""
llm = ChatOllama(model=model, temperature=0)
class Person(BaseModel):
"""Information about a person."""
name: Optional[str] = Field(default=None, description="The name of the person")
hair_color: Optional[str] = Field(
default=None, description="The color of the person's hair if known"
)
height_in_meters: Optional[str] = Field(
default=None, description="Height measured in meters"
)
class Data(BaseModel):
"""Extracted data about people."""
people: List[Person]
chat = llm.with_structured_output(Data) # type: ignore[arg-type]
text = (
"Alan Smith is 6 feet tall and has blond hair."
"Alan Poe is 3 feet tall and has grey hair."
)
result = chat.invoke(text)
assert isinstance(result, Data)
for chunk in chat.stream(text):
assert isinstance(chunk, Data)
|
0 | lc_public_repos/langchain/libs/partners/ollama/tests/integration_tests | lc_public_repos/langchain/libs/partners/ollama/tests/integration_tests/chat_models/test_chat_models_standard.py | """Test chat model integration using standard integration tests."""
from typing import Type
import pytest
from langchain_core.language_models import BaseChatModel
from langchain_tests.integration_tests import ChatModelIntegrationTests
from langchain_ollama.chat_models import ChatOllama
class TestChatOllama(ChatModelIntegrationTests):
@property
def chat_model_class(self) -> Type[ChatOllama]:
return ChatOllama
@property
def chat_model_params(self) -> dict:
return {"model": "llama3.1"}
@property
def supports_image_inputs(self) -> bool:
return True
@pytest.mark.xfail(
reason=(
"Fails with 'AssertionError'. Ollama does not support 'tool_choice' yet."
)
)
def test_structured_output(self, model: BaseChatModel) -> None:
super().test_structured_output(model)
@pytest.mark.xfail(
reason=(
"Fails with 'AssertionError'. Ollama does not support 'tool_choice' yet."
)
)
def test_structured_output_pydantic_2_v1(self, model: BaseChatModel) -> None:
super().test_structured_output_pydantic_2_v1(model)
|
0 | lc_public_repos/langchain/libs/partners/ollama/tests | lc_public_repos/langchain/libs/partners/ollama/tests/unit_tests/test_chat_models.py | """Test chat model integration."""
from typing import Dict, Type
from langchain_tests.unit_tests import ChatModelUnitTests
from langchain_ollama.chat_models import ChatOllama
class TestChatOllama(ChatModelUnitTests):
@property
def chat_model_class(self) -> Type[ChatOllama]:
return ChatOllama
@property
def chat_model_params(self) -> Dict:
return {"model": "llama3-groq-tool-use"}
|
0 | lc_public_repos/langchain/libs/partners/ollama/tests | lc_public_repos/langchain/libs/partners/ollama/tests/unit_tests/test_imports.py | from langchain_ollama import __all__
EXPECTED_ALL = [
"OllamaLLM",
"ChatOllama",
"OllamaEmbeddings",
"__version__",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
|
0 | lc_public_repos/langchain/libs/partners/ollama/tests | lc_public_repos/langchain/libs/partners/ollama/tests/unit_tests/test_embeddings.py | """Test embedding model integration."""
from langchain_ollama.embeddings import OllamaEmbeddings
def test_initialization() -> None:
"""Test embedding model initialization."""
OllamaEmbeddings(model="llama3")
|
0 | lc_public_repos/langchain/libs/partners/ollama/tests | lc_public_repos/langchain/libs/partners/ollama/tests/unit_tests/test_llms.py | """Test Ollama Chat API wrapper."""
from langchain_ollama import OllamaLLM
def test_initialization() -> None:
"""Test integration initialization."""
OllamaLLM(model="llama3")
def test_model_params() -> None:
# Test standard tracing params
llm = OllamaLLM(model="llama3")
ls_params = llm._get_ls_params()
assert ls_params == {
"ls_provider": "ollama",
"ls_model_type": "llm",
"ls_model_name": "llama3",
}
llm = OllamaLLM(model="llama3", num_predict=3)
ls_params = llm._get_ls_params()
assert ls_params == {
"ls_provider": "ollama",
"ls_model_type": "llm",
"ls_model_name": "llama3",
"ls_max_tokens": 3,
}
|
0 | lc_public_repos/langchain/libs/partners/ollama | lc_public_repos/langchain/libs/partners/ollama/scripts/lint_imports.sh | #!/bin/bash
set -eu
# Initialize a variable to keep track of errors
errors=0
# make sure not importing from langchain, langchain_experimental, or langchain_community
git --no-pager grep '^from langchain\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_community\.' . && errors=$((errors+1))
# Decide on an exit status based on the errors
if [ "$errors" -gt 0 ]; then
exit 1
else
exit 0
fi
|
0 | lc_public_repos/langchain/libs/partners/ollama | lc_public_repos/langchain/libs/partners/ollama/scripts/check_imports.py | """load multiple Python files specified as command line arguments."""
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
print(file) # noqa: T201
traceback.print_exc()
print() # noqa: T201
sys.exit(1 if has_failure else 0)
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/milvus/README.md | This package has moved!
https://github.com/langchain-ai/langchain-milvus/tree/main/libs/milvus
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/ai21/README.md | This package has moved!
https://github.com/langchain-ai/langchain-ai21/tree/main/libs/ai21 |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/exa/Makefile | .PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_tests: TEST_FILE=tests/integration_tests/
test integration_tests:
poetry run pytest $(TEST_FILE)
tests:
poetry run pytest $(TEST_FILE)
test_watch:
poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE)
######################
# LINTING AND FORMATTING
######################
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/exa --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langchain_exa
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)
spell_check:
poetry run codespell --toml pyproject.toml
spell_fix:
poetry run codespell --toml pyproject.toml -w
check_imports: $(shell find langchain_exa -name '*.py')
poetry run python ./scripts/check_imports.py $^
######################
# HELP
######################
help:
@echo '----'
@echo 'check_imports - check imports'
@echo 'format - run code formatters'
@echo 'lint - run linters'
@echo 'test - run unit tests'
@echo 'tests - run unit tests'
@echo 'test TEST_FILE=<test_file> - run all tests in file'
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/exa/LICENSE | MIT License
Copyright (c) 2023 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/exa/poetry.lock | # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
[[package]]
name = "anyio"
version = "4.4.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
files = [
{file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
{file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
]
[package.dependencies]
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
idna = ">=2.8"
sniffio = ">=1.1"
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras]
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
trio = ["trio (>=0.23)"]
[[package]]
name = "certifi"
version = "2024.8.30"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
{file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
]
[[package]]
name = "charset-normalizer"
version = "3.3.2"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7.0"
files = [
{file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"},
{file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"},
{file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"},
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"},
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"},
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"},
{file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"},
{file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"},
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"},
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"},
{file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"},
{file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-win32.whl", hash = "sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99"},
{file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a"},
{file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac"},
{file = "charset_normalizer-3.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"},
{file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"},
{file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"},
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"},
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"},
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"},
{file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"},
{file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"},
{file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
]
[[package]]
name = "codespell"
version = "2.3.0"
description = "Codespell"
optional = false
python-versions = ">=3.8"
files = [
{file = "codespell-2.3.0-py3-none-any.whl", hash = "sha256:a9c7cef2501c9cfede2110fd6d4e5e62296920efe9abfb84648df866e47f58d1"},
{file = "codespell-2.3.0.tar.gz", hash = "sha256:360c7d10f75e65f67bad720af7007e1060a5d395670ec11a7ed1fed9dd17471f"},
]
[package.extras]
dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"]
hard-encoding-detection = ["chardet"]
toml = ["tomli"]
types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"]
[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "distro"
version = "1.9.0"
description = "Distro - an OS platform information API"
optional = false
python-versions = ">=3.6"
files = [
{file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
{file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
]
[[package]]
name = "exa-py"
version = "1.1.3"
description = "Python SDK for Exa API."
optional = false
python-versions = "*"
files = [
{file = "exa_py-1.1.3-py3-none-any.whl", hash = "sha256:bf724a9a55fc7f689b3d644429235badac1fb61931cc162be9a2d5d1ca3ec047"},
{file = "exa_py-1.1.3.tar.gz", hash = "sha256:ca47c5e1067c38d328edb73688456dd1a0c948e98e54054d7cdbd6f1699e95f8"},
]
[package.dependencies]
openai = ">=1.10.0"
requests = "*"
typing-extensions = "*"
[[package]]
name = "exceptiongroup"
version = "1.2.2"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
{file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
]
[package.extras]
test = ["pytest (>=6)"]
[[package]]
name = "freezegun"
version = "1.5.1"
description = "Let your Python tests travel through time"
optional = false
python-versions = ">=3.7"
files = [
{file = "freezegun-1.5.1-py3-none-any.whl", hash = "sha256:bf111d7138a8abe55ab48a71755673dbaa4ab87f4cff5634a4442dfec34c15f1"},
{file = "freezegun-1.5.1.tar.gz", hash = "sha256:b29dedfcda6d5e8e083ce71b2b542753ad48cfec44037b3fc79702e2980a89e9"},
]
[package.dependencies]
python-dateutil = ">=2.7"
[[package]]
name = "h11"
version = "0.14.0"
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
optional = false
python-versions = ">=3.7"
files = [
{file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
]
[[package]]
name = "httpcore"
version = "1.0.5"
description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
{file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
]
[package.dependencies]
certifi = "*"
h11 = ">=0.13,<0.15"
[package.extras]
asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
trio = ["trio (>=0.22.0,<0.26.0)"]
[[package]]
name = "httpx"
version = "0.27.2"
description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
{file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
]
[package.dependencies]
anyio = "*"
certifi = "*"
httpcore = "==1.*"
idna = "*"
sniffio = "*"
[package.extras]
brotli = ["brotli", "brotlicffi"]
cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "idna"
version = "3.8"
description = "Internationalized Domain Names in Applications (IDNA)"
optional = false
python-versions = ">=3.6"
files = [
{file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
{file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
]
[[package]]
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
optional = false
python-versions = ">=3.7"
files = [
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
[[package]]
name = "jiter"
version = "0.5.0"
description = "Fast iterable JSON parser."
optional = false
python-versions = ">=3.8"
files = [
{file = "jiter-0.5.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b599f4e89b3def9a94091e6ee52e1d7ad7bc33e238ebb9c4c63f211d74822c3f"},
{file = "jiter-0.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2a063f71c4b06225543dddadbe09d203dc0c95ba352d8b85f1221173480a71d5"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:acc0d5b8b3dd12e91dd184b87273f864b363dfabc90ef29a1092d269f18c7e28"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c22541f0b672f4d741382a97c65609332a783501551445ab2df137ada01e019e"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:63314832e302cc10d8dfbda0333a384bf4bcfce80d65fe99b0f3c0da8945a91a"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a25fbd8a5a58061e433d6fae6d5298777c0814a8bcefa1e5ecfff20c594bd749"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:503b2c27d87dfff5ab717a8200fbbcf4714516c9d85558048b1fc14d2de7d8dc"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6d1f3d27cce923713933a844872d213d244e09b53ec99b7a7fdf73d543529d6d"},
{file = "jiter-0.5.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c95980207b3998f2c3b3098f357994d3fd7661121f30669ca7cb945f09510a87"},
{file = "jiter-0.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:afa66939d834b0ce063f57d9895e8036ffc41c4bd90e4a99631e5f261d9b518e"},
{file = "jiter-0.5.0-cp310-none-win32.whl", hash = "sha256:f16ca8f10e62f25fd81d5310e852df6649af17824146ca74647a018424ddeccf"},
{file = "jiter-0.5.0-cp310-none-win_amd64.whl", hash = "sha256:b2950e4798e82dd9176935ef6a55cf6a448b5c71515a556da3f6b811a7844f1e"},
{file = "jiter-0.5.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d4c8e1ed0ef31ad29cae5ea16b9e41529eb50a7fba70600008e9f8de6376d553"},
{file = "jiter-0.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c6f16e21276074a12d8421692515b3fd6d2ea9c94fd0734c39a12960a20e85f3"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5280e68e7740c8c128d3ae5ab63335ce6d1fb6603d3b809637b11713487af9e6"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:583c57fc30cc1fec360e66323aadd7fc3edeec01289bfafc35d3b9dcb29495e4"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:26351cc14507bdf466b5f99aba3df3143a59da75799bf64a53a3ad3155ecded9"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4829df14d656b3fb87e50ae8b48253a8851c707da9f30d45aacab2aa2ba2d614"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a42a4bdcf7307b86cb863b2fb9bb55029b422d8f86276a50487982d99eed7c6e"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:04d461ad0aebf696f8da13c99bc1b3e06f66ecf6cfd56254cc402f6385231c06"},
{file = "jiter-0.5.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e6375923c5f19888c9226582a124b77b622f8fd0018b843c45eeb19d9701c403"},
{file = "jiter-0.5.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2cec323a853c24fd0472517113768c92ae0be8f8c384ef4441d3632da8baa646"},
{file = "jiter-0.5.0-cp311-none-win32.whl", hash = "sha256:aa1db0967130b5cab63dfe4d6ff547c88b2a394c3410db64744d491df7f069bb"},
{file = "jiter-0.5.0-cp311-none-win_amd64.whl", hash = "sha256:aa9d2b85b2ed7dc7697597dcfaac66e63c1b3028652f751c81c65a9f220899ae"},
{file = "jiter-0.5.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:9f664e7351604f91dcdd557603c57fc0d551bc65cc0a732fdacbf73ad335049a"},
{file = "jiter-0.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:044f2f1148b5248ad2c8c3afb43430dccf676c5a5834d2f5089a4e6c5bbd64df"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:702e3520384c88b6e270c55c772d4bd6d7b150608dcc94dea87ceba1b6391248"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:528d742dcde73fad9d63e8242c036ab4a84389a56e04efd854062b660f559544"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8cf80e5fe6ab582c82f0c3331df27a7e1565e2dcf06265afd5173d809cdbf9ba"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:44dfc9ddfb9b51a5626568ef4e55ada462b7328996294fe4d36de02fce42721f"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c451f7922992751a936b96c5f5b9bb9312243d9b754c34b33d0cb72c84669f4e"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:308fce789a2f093dca1ff91ac391f11a9f99c35369117ad5a5c6c4903e1b3e3a"},
{file = "jiter-0.5.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7f5ad4a7c6b0d90776fdefa294f662e8a86871e601309643de30bf94bb93a64e"},
{file = "jiter-0.5.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ea189db75f8eca08807d02ae27929e890c7d47599ce3d0a6a5d41f2419ecf338"},
{file = "jiter-0.5.0-cp312-none-win32.whl", hash = "sha256:e3bbe3910c724b877846186c25fe3c802e105a2c1fc2b57d6688b9f8772026e4"},
{file = "jiter-0.5.0-cp312-none-win_amd64.whl", hash = "sha256:a586832f70c3f1481732919215f36d41c59ca080fa27a65cf23d9490e75b2ef5"},
{file = "jiter-0.5.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:f04bc2fc50dc77be9d10f73fcc4e39346402ffe21726ff41028f36e179b587e6"},
{file = "jiter-0.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6f433a4169ad22fcb550b11179bb2b4fd405de9b982601914ef448390b2954f3"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ad4a6398c85d3a20067e6c69890ca01f68659da94d74c800298581724e426c7e"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6baa88334e7af3f4d7a5c66c3a63808e5efbc3698a1c57626541ddd22f8e4fbf"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ece0a115c05efca597c6d938f88c9357c843f8c245dbbb53361a1c01afd7148"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:335942557162ad372cc367ffaf93217117401bf930483b4b3ebdb1223dbddfa7"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:649b0ee97a6e6da174bffcb3c8c051a5935d7d4f2f52ea1583b5b3e7822fbf14"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f4be354c5de82157886ca7f5925dbda369b77344b4b4adf2723079715f823989"},
{file = "jiter-0.5.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5206144578831a6de278a38896864ded4ed96af66e1e63ec5dd7f4a1fce38a3a"},
{file = "jiter-0.5.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8120c60f8121ac3d6f072b97ef0e71770cc72b3c23084c72c4189428b1b1d3b6"},
{file = "jiter-0.5.0-cp38-none-win32.whl", hash = "sha256:6f1223f88b6d76b519cb033a4d3687ca157c272ec5d6015c322fc5b3074d8a5e"},
{file = "jiter-0.5.0-cp38-none-win_amd64.whl", hash = "sha256:c59614b225d9f434ea8fc0d0bec51ef5fa8c83679afedc0433905994fb36d631"},
{file = "jiter-0.5.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:0af3838cfb7e6afee3f00dc66fa24695199e20ba87df26e942820345b0afc566"},
{file = "jiter-0.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:550b11d669600dbc342364fd4adbe987f14d0bbedaf06feb1b983383dcc4b961"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:489875bf1a0ffb3cb38a727b01e6673f0f2e395b2aad3c9387f94187cb214bbf"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b250ca2594f5599ca82ba7e68785a669b352156260c5362ea1b4e04a0f3e2389"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ea18e01f785c6667ca15407cd6dabbe029d77474d53595a189bdc813347218e"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:462a52be85b53cd9bffd94e2d788a09984274fe6cebb893d6287e1c296d50653"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:92cc68b48d50fa472c79c93965e19bd48f40f207cb557a8346daa020d6ba973b"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1c834133e59a8521bc87ebcad773608c6fa6ab5c7a022df24a45030826cf10bc"},
{file = "jiter-0.5.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ab3a71ff31cf2d45cb216dc37af522d335211f3a972d2fe14ea99073de6cb104"},
{file = "jiter-0.5.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cccd3af9c48ac500c95e1bcbc498020c87e1781ff0345dd371462d67b76643eb"},
{file = "jiter-0.5.0-cp39-none-win32.whl", hash = "sha256:368084d8d5c4fc40ff7c3cc513c4f73e02c85f6009217922d0823a48ee7adf61"},
{file = "jiter-0.5.0-cp39-none-win_amd64.whl", hash = "sha256:ce03f7b4129eb72f1687fa11300fbf677b02990618428934662406d2a76742a1"},
{file = "jiter-0.5.0.tar.gz", hash = "sha256:1d916ba875bcab5c5f7d927df998c4cb694d27dceddf3392e58beaf10563368a"},
]
[[package]]
name = "jsonpatch"
version = "1.33"
description = "Apply JSON-Patches (RFC 6902)"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
{file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
{file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
]
[package.dependencies]
jsonpointer = ">=1.9"
[[package]]
name = "jsonpointer"
version = "3.0.0"
description = "Identify specific nodes in a JSON document (RFC 6901)"
optional = false
python-versions = ">=3.7"
files = [
{file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
{file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
]
[[package]]
name = "langchain-core"
version = "0.3.15"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.125"
packaging = ">=23.2,<25"
pydantic = [
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = ">=8.1.0,!=8.4.0,<10.0.0"
typing-extensions = ">=4.7"
[package.source]
type = "directory"
url = "../../core"
[[package]]
name = "langsmith"
version = "0.1.139"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.139-py3-none-any.whl", hash = "sha256:2a4a541bfbd0a9727255df28a60048c85bc8c4c6a276975923785c3fd82dc879"},
{file = "langsmith-0.1.139.tar.gz", hash = "sha256:2f9e4d32fef3ad7ef42c8506448cce3a31ad6b78bb4f3310db04ddaa1e9d744d"},
]
[package.dependencies]
httpx = ">=0.23.0,<1"
orjson = ">=3.9.14,<4.0.0"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
requests = ">=2,<3"
requests-toolbelt = ">=1.0.0,<2.0.0"
[[package]]
name = "mypy"
version = "1.11.2"
description = "Optional static typing for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "mypy-1.11.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d42a6dd818ffce7be66cce644f1dff482f1d97c53ca70908dff0b9ddc120b77a"},
{file = "mypy-1.11.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:801780c56d1cdb896eacd5619a83e427ce436d86a3bdf9112527f24a66618fef"},
{file = "mypy-1.11.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:41ea707d036a5307ac674ea172875f40c9d55c5394f888b168033177fce47383"},
{file = "mypy-1.11.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6e658bd2d20565ea86da7d91331b0eed6d2eee22dc031579e6297f3e12c758c8"},
{file = "mypy-1.11.2-cp310-cp310-win_amd64.whl", hash = "sha256:478db5f5036817fe45adb7332d927daa62417159d49783041338921dcf646fc7"},
{file = "mypy-1.11.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:75746e06d5fa1e91bfd5432448d00d34593b52e7e91a187d981d08d1f33d4385"},
{file = "mypy-1.11.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a976775ab2256aadc6add633d44f100a2517d2388906ec4f13231fafbb0eccca"},
{file = "mypy-1.11.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:cd953f221ac1379050a8a646585a29574488974f79d8082cedef62744f0a0104"},
{file = "mypy-1.11.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:57555a7715c0a34421013144a33d280e73c08df70f3a18a552938587ce9274f4"},
{file = "mypy-1.11.2-cp311-cp311-win_amd64.whl", hash = "sha256:36383a4fcbad95f2657642a07ba22ff797de26277158f1cc7bd234821468b1b6"},
{file = "mypy-1.11.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e8960dbbbf36906c5c0b7f4fbf2f0c7ffb20f4898e6a879fcf56a41a08b0d318"},
{file = "mypy-1.11.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:06d26c277962f3fb50e13044674aa10553981ae514288cb7d0a738f495550b36"},
{file = "mypy-1.11.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6e7184632d89d677973a14d00ae4d03214c8bc301ceefcdaf5c474866814c987"},
{file = "mypy-1.11.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3a66169b92452f72117e2da3a576087025449018afc2d8e9bfe5ffab865709ca"},
{file = "mypy-1.11.2-cp312-cp312-win_amd64.whl", hash = "sha256:969ea3ef09617aff826885a22ece0ddef69d95852cdad2f60c8bb06bf1f71f70"},
{file = "mypy-1.11.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:37c7fa6121c1cdfcaac97ce3d3b5588e847aa79b580c1e922bb5d5d2902df19b"},
{file = "mypy-1.11.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4a8a53bc3ffbd161b5b2a4fff2f0f1e23a33b0168f1c0778ec70e1a3d66deb86"},
{file = "mypy-1.11.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2ff93107f01968ed834f4256bc1fc4475e2fecf6c661260066a985b52741ddce"},
{file = "mypy-1.11.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:edb91dded4df17eae4537668b23f0ff6baf3707683734b6a818d5b9d0c0c31a1"},
{file = "mypy-1.11.2-cp38-cp38-win_amd64.whl", hash = "sha256:ee23de8530d99b6db0573c4ef4bd8f39a2a6f9b60655bf7a1357e585a3486f2b"},
{file = "mypy-1.11.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:801ca29f43d5acce85f8e999b1e431fb479cb02d0e11deb7d2abb56bdaf24fd6"},
{file = "mypy-1.11.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:af8d155170fcf87a2afb55b35dc1a0ac21df4431e7d96717621962e4b9192e70"},
{file = "mypy-1.11.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f7821776e5c4286b6a13138cc935e2e9b6fde05e081bdebf5cdb2bb97c9df81d"},
{file = "mypy-1.11.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:539c570477a96a4e6fb718b8d5c3e0c0eba1f485df13f86d2970c91f0673148d"},
{file = "mypy-1.11.2-cp39-cp39-win_amd64.whl", hash = "sha256:3f14cd3d386ac4d05c5a39a51b84387403dadbd936e17cb35882134d4f8f0d24"},
{file = "mypy-1.11.2-py3-none-any.whl", hash = "sha256:b499bc07dbdcd3de92b0a8b29fdf592c111276f6a12fe29c30f6c417dd546d12"},
{file = "mypy-1.11.2.tar.gz", hash = "sha256:7f9993ad3e0ffdc95c2a14b66dee63729f021968bff8ad911867579c65d13a79"},
]
[package.dependencies]
mypy-extensions = ">=1.0.0"
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
typing-extensions = ">=4.6.0"
[package.extras]
dmypy = ["psutil (>=4.0)"]
install-types = ["pip"]
mypyc = ["setuptools (>=50)"]
reports = ["lxml"]
[[package]]
name = "mypy-extensions"
version = "1.0.0"
description = "Type system extensions for programs checked with the mypy type checker."
optional = false
python-versions = ">=3.5"
files = [
{file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
]
[[package]]
name = "openai"
version = "1.45.0"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
{file = "openai-1.45.0-py3-none-any.whl", hash = "sha256:2f1f7b7cf90f038a9f1c24f0d26c0f1790c102ec5acd07ffd70a9b7feac1ff4e"},
{file = "openai-1.45.0.tar.gz", hash = "sha256:731207d10637335413aa3c0955f8f8df30d7636a4a0f9c381f2209d32cf8de97"},
]
[package.dependencies]
anyio = ">=3.5.0,<5"
distro = ">=1.7.0,<2"
httpx = ">=0.23.0,<1"
jiter = ">=0.4.0,<1"
pydantic = ">=1.9.0,<3"
sniffio = "*"
tqdm = ">4"
typing-extensions = ">=4.11,<5"
[package.extras]
datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
[[package]]
name = "orjson"
version = "3.10.7"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
python-versions = ">=3.8"
files = [
{file = "orjson-3.10.7-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:74f4544f5a6405b90da8ea724d15ac9c36da4d72a738c64685003337401f5c12"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:34a566f22c28222b08875b18b0dfbf8a947e69df21a9ed5c51a6bf91cfb944ac"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bf6ba8ebc8ef5792e2337fb0419f8009729335bb400ece005606336b7fd7bab7"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac7cf6222b29fbda9e3a472b41e6a5538b48f2c8f99261eecd60aafbdb60690c"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de817e2f5fc75a9e7dd350c4b0f54617b280e26d1631811a43e7e968fa71e3e9"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:348bdd16b32556cf8d7257b17cf2bdb7ab7976af4af41ebe79f9796c218f7e91"},
{file = "orjson-3.10.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:479fd0844ddc3ca77e0fd99644c7fe2de8e8be1efcd57705b5c92e5186e8a250"},
{file = "orjson-3.10.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:fdf5197a21dd660cf19dfd2a3ce79574588f8f5e2dbf21bda9ee2d2b46924d84"},
{file = "orjson-3.10.7-cp310-none-win32.whl", hash = "sha256:d374d36726746c81a49f3ff8daa2898dccab6596864ebe43d50733275c629175"},
{file = "orjson-3.10.7-cp310-none-win_amd64.whl", hash = "sha256:cb61938aec8b0ffb6eef484d480188a1777e67b05d58e41b435c74b9d84e0b9c"},
{file = "orjson-3.10.7-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:7db8539039698ddfb9a524b4dd19508256107568cdad24f3682d5773e60504a2"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:480f455222cb7a1dea35c57a67578848537d2602b46c464472c995297117fa09"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8a9c9b168b3a19e37fe2778c0003359f07822c90fdff8f98d9d2a91b3144d8e0"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8de062de550f63185e4c1c54151bdddfc5625e37daf0aa1e75d2a1293e3b7d9a"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6b0dd04483499d1de9c8f6203f8975caf17a6000b9c0c54630cef02e44ee624e"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b58d3795dafa334fc8fd46f7c5dc013e6ad06fd5b9a4cc98cb1456e7d3558bd6"},
{file = "orjson-3.10.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:33cfb96c24034a878d83d1a9415799a73dc77480e6c40417e5dda0710d559ee6"},
{file = "orjson-3.10.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e724cebe1fadc2b23c6f7415bad5ee6239e00a69f30ee423f319c6af70e2a5c0"},
{file = "orjson-3.10.7-cp311-none-win32.whl", hash = "sha256:82763b46053727a7168d29c772ed5c870fdae2f61aa8a25994c7984a19b1021f"},
{file = "orjson-3.10.7-cp311-none-win_amd64.whl", hash = "sha256:eb8d384a24778abf29afb8e41d68fdd9a156cf6e5390c04cc07bbc24b89e98b5"},
{file = "orjson-3.10.7-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:44a96f2d4c3af51bfac6bc4ef7b182aa33f2f054fd7f34cc0ee9a320d051d41f"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76ac14cd57df0572453543f8f2575e2d01ae9e790c21f57627803f5e79b0d3c3"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bdbb61dcc365dd9be94e8f7df91975edc9364d6a78c8f7adb69c1cdff318ec93"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b48b3db6bb6e0a08fa8c83b47bc169623f801e5cc4f24442ab2b6617da3b5313"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:23820a1563a1d386414fef15c249040042b8e5d07b40ab3fe3efbfbbcbcb8864"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0c6a008e91d10a2564edbb6ee5069a9e66df3fbe11c9a005cb411f441fd2c09"},
{file = "orjson-3.10.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d352ee8ac1926d6193f602cbe36b1643bbd1bbcb25e3c1a657a4390f3000c9a5"},
{file = "orjson-3.10.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d2d9f990623f15c0ae7ac608103c33dfe1486d2ed974ac3f40b693bad1a22a7b"},
{file = "orjson-3.10.7-cp312-none-win32.whl", hash = "sha256:7c4c17f8157bd520cdb7195f75ddbd31671997cbe10aee559c2d613592e7d7eb"},
{file = "orjson-3.10.7-cp312-none-win_amd64.whl", hash = "sha256:1d9c0e733e02ada3ed6098a10a8ee0052dd55774de3d9110d29868d24b17faa1"},
{file = "orjson-3.10.7-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:77d325ed866876c0fa6492598ec01fe30e803272a6e8b10e992288b009cbe149"},
{file = "orjson-3.10.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ea2c232deedcb605e853ae1db2cc94f7390ac776743b699b50b071b02bea6fe"},
{file = "orjson-3.10.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:3dcfbede6737fdbef3ce9c37af3fb6142e8e1ebc10336daa05872bfb1d87839c"},
{file = "orjson-3.10.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:11748c135f281203f4ee695b7f80bb1358a82a63905f9f0b794769483ea854ad"},
{file = "orjson-3.10.7-cp313-none-win32.whl", hash = "sha256:a7e19150d215c7a13f39eb787d84db274298d3f83d85463e61d277bbd7f401d2"},
{file = "orjson-3.10.7-cp313-none-win_amd64.whl", hash = "sha256:eef44224729e9525d5261cc8d28d6b11cafc90e6bd0be2157bde69a52ec83024"},
{file = "orjson-3.10.7-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6ea2b2258eff652c82652d5e0f02bd5e0463a6a52abb78e49ac288827aaa1469"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:430ee4d85841e1483d487e7b81401785a5dfd69db5de01314538f31f8fbf7ee1"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4b6146e439af4c2472c56f8540d799a67a81226e11992008cb47e1267a9b3225"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:084e537806b458911137f76097e53ce7bf5806dda33ddf6aaa66a028f8d43a23"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4829cf2195838e3f93b70fd3b4292156fc5e097aac3739859ac0dcc722b27ac0"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1193b2416cbad1a769f868b1749535d5da47626ac29445803dae7cc64b3f5c98"},
{file = "orjson-3.10.7-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:4e6c3da13e5a57e4b3dca2de059f243ebec705857522f188f0180ae88badd354"},
{file = "orjson-3.10.7-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c31008598424dfbe52ce8c5b47e0752dca918a4fdc4a2a32004efd9fab41d866"},
{file = "orjson-3.10.7-cp38-none-win32.whl", hash = "sha256:7122a99831f9e7fe977dc45784d3b2edc821c172d545e6420c375e5a935f5a1c"},
{file = "orjson-3.10.7-cp38-none-win_amd64.whl", hash = "sha256:a763bc0e58504cc803739e7df040685816145a6f3c8a589787084b54ebc9f16e"},
{file = "orjson-3.10.7-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:e76be12658a6fa376fcd331b1ea4e58f5a06fd0220653450f0d415b8fd0fbe20"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ed350d6978d28b92939bfeb1a0570c523f6170efc3f0a0ef1f1df287cd4f4960"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:144888c76f8520e39bfa121b31fd637e18d4cc2f115727865fdf9fa325b10412"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:09b2d92fd95ad2402188cf51573acde57eb269eddabaa60f69ea0d733e789fe9"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5b24a579123fa884f3a3caadaed7b75eb5715ee2b17ab5c66ac97d29b18fe57f"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e72591bcfe7512353bd609875ab38050efe3d55e18934e2f18950c108334b4ff"},
{file = "orjson-3.10.7-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:f4db56635b58cd1a200b0a23744ff44206ee6aa428185e2b6c4a65b3197abdcd"},
{file = "orjson-3.10.7-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:0fa5886854673222618638c6df7718ea7fe2f3f2384c452c9ccedc70b4a510a5"},
{file = "orjson-3.10.7-cp39-none-win32.whl", hash = "sha256:8272527d08450ab16eb405f47e0f4ef0e5ff5981c3d82afe0efd25dcbef2bcd2"},
{file = "orjson-3.10.7-cp39-none-win_amd64.whl", hash = "sha256:974683d4618c0c7dbf4f69c95a979734bf183d0658611760017f6e70a145af58"},
{file = "orjson-3.10.7.tar.gz", hash = "sha256:75ef0640403f945f3a1f9f6400686560dbfb0fb5b16589ad62cd477043c4eee3"},
]
[[package]]
name = "packaging"
version = "24.1"
description = "Core utilities for Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
{file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
]
[[package]]
name = "pluggy"
version = "1.5.0"
description = "plugin and hook calling mechanisms for python"
optional = false
python-versions = ">=3.8"
files = [
{file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
{file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
]
[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pydantic"
version = "2.9.1"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.9.1-py3-none-any.whl", hash = "sha256:7aff4db5fdf3cf573d4b3c30926a510a10e19a0774d38fc4967f78beb6deb612"},
{file = "pydantic-2.9.1.tar.gz", hash = "sha256:1363c7d975c7036df0db2b4a61f2e062fbc0aa5ab5f2772e0ffc7191a4f4bce2"},
]
[package.dependencies]
annotated-types = ">=0.6.0"
pydantic-core = "2.23.3"
typing-extensions = [
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
]
[package.extras]
email = ["email-validator (>=2.0.0)"]
timezone = ["tzdata"]
[[package]]
name = "pydantic-core"
version = "2.23.3"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic_core-2.23.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:7f10a5d1b9281392f1bf507d16ac720e78285dfd635b05737c3911637601bae6"},
{file = "pydantic_core-2.23.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3c09a7885dd33ee8c65266e5aa7fb7e2f23d49d8043f089989726391dd7350c5"},
{file = "pydantic_core-2.23.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6470b5a1ec4d1c2e9afe928c6cb37eb33381cab99292a708b8cb9aa89e62429b"},
{file = "pydantic_core-2.23.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9172d2088e27d9a185ea0a6c8cebe227a9139fd90295221d7d495944d2367700"},
{file = "pydantic_core-2.23.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86fc6c762ca7ac8fbbdff80d61b2c59fb6b7d144aa46e2d54d9e1b7b0e780e01"},
{file = "pydantic_core-2.23.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f0cb80fd5c2df4898693aa841425ea1727b1b6d2167448253077d2a49003e0ed"},
{file = "pydantic_core-2.23.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03667cec5daf43ac4995cefa8aaf58f99de036204a37b889c24a80927b629cec"},
{file = "pydantic_core-2.23.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:047531242f8e9c2db733599f1c612925de095e93c9cc0e599e96cf536aaf56ba"},
{file = "pydantic_core-2.23.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5499798317fff7f25dbef9347f4451b91ac2a4330c6669821c8202fd354c7bee"},
{file = "pydantic_core-2.23.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bbb5e45eab7624440516ee3722a3044b83fff4c0372efe183fd6ba678ff681fe"},
{file = "pydantic_core-2.23.3-cp310-none-win32.whl", hash = "sha256:8b5b3ed73abb147704a6e9f556d8c5cb078f8c095be4588e669d315e0d11893b"},
{file = "pydantic_core-2.23.3-cp310-none-win_amd64.whl", hash = "sha256:2b603cde285322758a0279995b5796d64b63060bfbe214b50a3ca23b5cee3e83"},
{file = "pydantic_core-2.23.3-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:c889fd87e1f1bbeb877c2ee56b63bb297de4636661cc9bbfcf4b34e5e925bc27"},
{file = "pydantic_core-2.23.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ea85bda3189fb27503af4c45273735bcde3dd31c1ab17d11f37b04877859ef45"},
{file = "pydantic_core-2.23.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a7f7f72f721223f33d3dc98a791666ebc6a91fa023ce63733709f4894a7dc611"},
{file = "pydantic_core-2.23.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2b2b55b0448e9da68f56b696f313949cda1039e8ec7b5d294285335b53104b61"},
{file = "pydantic_core-2.23.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c24574c7e92e2c56379706b9a3f07c1e0c7f2f87a41b6ee86653100c4ce343e5"},
{file = "pydantic_core-2.23.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f2b05e6ccbee333a8f4b8f4d7c244fdb7a979e90977ad9c51ea31261e2085ce0"},
{file = "pydantic_core-2.23.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e2c409ce1c219c091e47cb03feb3c4ed8c2b8e004efc940da0166aaee8f9d6c8"},
{file = "pydantic_core-2.23.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d965e8b325f443ed3196db890d85dfebbb09f7384486a77461347f4adb1fa7f8"},
{file = "pydantic_core-2.23.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f56af3a420fb1ffaf43ece3ea09c2d27c444e7c40dcb7c6e7cf57aae764f2b48"},
{file = "pydantic_core-2.23.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5b01a078dd4f9a52494370af21aa52964e0a96d4862ac64ff7cea06e0f12d2c5"},
{file = "pydantic_core-2.23.3-cp311-none-win32.whl", hash = "sha256:560e32f0df04ac69b3dd818f71339983f6d1f70eb99d4d1f8e9705fb6c34a5c1"},
{file = "pydantic_core-2.23.3-cp311-none-win_amd64.whl", hash = "sha256:c744fa100fdea0d000d8bcddee95213d2de2e95b9c12be083370b2072333a0fa"},
{file = "pydantic_core-2.23.3-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:e0ec50663feedf64d21bad0809f5857bac1ce91deded203efc4a84b31b2e4305"},
{file = "pydantic_core-2.23.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:db6e6afcb95edbe6b357786684b71008499836e91f2a4a1e55b840955b341dbb"},
{file = "pydantic_core-2.23.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:98ccd69edcf49f0875d86942f4418a4e83eb3047f20eb897bffa62a5d419c8fa"},
{file = "pydantic_core-2.23.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a678c1ac5c5ec5685af0133262103defb427114e62eafeda12f1357a12140162"},
{file = "pydantic_core-2.23.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:01491d8b4d8db9f3391d93b0df60701e644ff0894352947f31fff3e52bd5c801"},
{file = "pydantic_core-2.23.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fcf31facf2796a2d3b7fe338fe8640aa0166e4e55b4cb108dbfd1058049bf4cb"},
{file = "pydantic_core-2.23.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7200fd561fb3be06827340da066df4311d0b6b8eb0c2116a110be5245dceb326"},
{file = "pydantic_core-2.23.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:dc1636770a809dee2bd44dd74b89cc80eb41172bcad8af75dd0bc182c2666d4c"},
{file = "pydantic_core-2.23.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:67a5def279309f2e23014b608c4150b0c2d323bd7bccd27ff07b001c12c2415c"},
{file = "pydantic_core-2.23.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:748bdf985014c6dd3e1e4cc3db90f1c3ecc7246ff5a3cd4ddab20c768b2f1dab"},
{file = "pydantic_core-2.23.3-cp312-none-win32.whl", hash = "sha256:255ec6dcb899c115f1e2a64bc9ebc24cc0e3ab097775755244f77360d1f3c06c"},
{file = "pydantic_core-2.23.3-cp312-none-win_amd64.whl", hash = "sha256:40b8441be16c1e940abebed83cd006ddb9e3737a279e339dbd6d31578b802f7b"},
{file = "pydantic_core-2.23.3-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:6daaf5b1ba1369a22c8b050b643250e3e5efc6a78366d323294aee54953a4d5f"},
{file = "pydantic_core-2.23.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d015e63b985a78a3d4ccffd3bdf22b7c20b3bbd4b8227809b3e8e75bc37f9cb2"},
{file = "pydantic_core-2.23.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a3fc572d9b5b5cfe13f8e8a6e26271d5d13f80173724b738557a8c7f3a8a3791"},
{file = "pydantic_core-2.23.3-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f6bd91345b5163ee7448bee201ed7dd601ca24f43f439109b0212e296eb5b423"},
{file = "pydantic_core-2.23.3-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fc379c73fd66606628b866f661e8785088afe2adaba78e6bbe80796baf708a63"},
{file = "pydantic_core-2.23.3-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fbdce4b47592f9e296e19ac31667daed8753c8367ebb34b9a9bd89dacaa299c9"},
{file = "pydantic_core-2.23.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc3cf31edf405a161a0adad83246568647c54404739b614b1ff43dad2b02e6d5"},
{file = "pydantic_core-2.23.3-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8e22b477bf90db71c156f89a55bfe4d25177b81fce4aa09294d9e805eec13855"},
{file = "pydantic_core-2.23.3-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:0a0137ddf462575d9bce863c4c95bac3493ba8e22f8c28ca94634b4a1d3e2bb4"},
{file = "pydantic_core-2.23.3-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:203171e48946c3164fe7691fc349c79241ff8f28306abd4cad5f4f75ed80bc8d"},
{file = "pydantic_core-2.23.3-cp313-none-win32.whl", hash = "sha256:76bdab0de4acb3f119c2a4bff740e0c7dc2e6de7692774620f7452ce11ca76c8"},
{file = "pydantic_core-2.23.3-cp313-none-win_amd64.whl", hash = "sha256:37ba321ac2a46100c578a92e9a6aa33afe9ec99ffa084424291d84e456f490c1"},
{file = "pydantic_core-2.23.3-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d063c6b9fed7d992bcbebfc9133f4c24b7a7f215d6b102f3e082b1117cddb72c"},
{file = "pydantic_core-2.23.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6cb968da9a0746a0cf521b2b5ef25fc5a0bee9b9a1a8214e0a1cfaea5be7e8a4"},
{file = "pydantic_core-2.23.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edbefe079a520c5984e30e1f1f29325054b59534729c25b874a16a5048028d16"},
{file = "pydantic_core-2.23.3-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cbaaf2ef20d282659093913da9d402108203f7cb5955020bd8d1ae5a2325d1c4"},
{file = "pydantic_core-2.23.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fb539d7e5dc4aac345846f290cf504d2fd3c1be26ac4e8b5e4c2b688069ff4cf"},
{file = "pydantic_core-2.23.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7e6f33503c5495059148cc486867e1d24ca35df5fc064686e631e314d959ad5b"},
{file = "pydantic_core-2.23.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:04b07490bc2f6f2717b10c3969e1b830f5720b632f8ae2f3b8b1542394c47a8e"},
{file = "pydantic_core-2.23.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:03795b9e8a5d7fda05f3873efc3f59105e2dcff14231680296b87b80bb327295"},
{file = "pydantic_core-2.23.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:c483dab0f14b8d3f0df0c6c18d70b21b086f74c87ab03c59250dbf6d3c89baba"},
{file = "pydantic_core-2.23.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8b2682038e255e94baf2c473dca914a7460069171ff5cdd4080be18ab8a7fd6e"},
{file = "pydantic_core-2.23.3-cp38-none-win32.whl", hash = "sha256:f4a57db8966b3a1d1a350012839c6a0099f0898c56512dfade8a1fe5fb278710"},
{file = "pydantic_core-2.23.3-cp38-none-win_amd64.whl", hash = "sha256:13dd45ba2561603681a2676ca56006d6dee94493f03d5cadc055d2055615c3ea"},
{file = "pydantic_core-2.23.3-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:82da2f4703894134a9f000e24965df73cc103e31e8c31906cc1ee89fde72cbd8"},
{file = "pydantic_core-2.23.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:dd9be0a42de08f4b58a3cc73a123f124f65c24698b95a54c1543065baca8cf0e"},
{file = "pydantic_core-2.23.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89b731f25c80830c76fdb13705c68fef6a2b6dc494402987c7ea9584fe189f5d"},
{file = "pydantic_core-2.23.3-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c6de1ec30c4bb94f3a69c9f5f2182baeda5b809f806676675e9ef6b8dc936f28"},
{file = "pydantic_core-2.23.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bb68b41c3fa64587412b104294b9cbb027509dc2f6958446c502638d481525ef"},
{file = "pydantic_core-2.23.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1c3980f2843de5184656aab58698011b42763ccba11c4a8c35936c8dd6c7068c"},
{file = "pydantic_core-2.23.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94f85614f2cba13f62c3c6481716e4adeae48e1eaa7e8bac379b9d177d93947a"},
{file = "pydantic_core-2.23.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:510b7fb0a86dc8f10a8bb43bd2f97beb63cffad1203071dc434dac26453955cd"},
{file = "pydantic_core-2.23.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:1eba2f7ce3e30ee2170410e2171867ea73dbd692433b81a93758ab2de6c64835"},
{file = "pydantic_core-2.23.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4b259fd8409ab84b4041b7b3f24dcc41e4696f180b775961ca8142b5b21d0e70"},
{file = "pydantic_core-2.23.3-cp39-none-win32.whl", hash = "sha256:40d9bd259538dba2f40963286009bf7caf18b5112b19d2b55b09c14dde6db6a7"},
{file = "pydantic_core-2.23.3-cp39-none-win_amd64.whl", hash = "sha256:5a8cd3074a98ee70173a8633ad3c10e00dcb991ecec57263aacb4095c5efb958"},
{file = "pydantic_core-2.23.3-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f399e8657c67313476a121a6944311fab377085ca7f490648c9af97fc732732d"},
{file = "pydantic_core-2.23.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:6b5547d098c76e1694ba85f05b595720d7c60d342f24d5aad32c3049131fa5c4"},
{file = "pydantic_core-2.23.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0dda0290a6f608504882d9f7650975b4651ff91c85673341789a476b1159f211"},
{file = "pydantic_core-2.23.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65b6e5da855e9c55a0c67f4db8a492bf13d8d3316a59999cfbaf98cc6e401961"},
{file = "pydantic_core-2.23.3-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:09e926397f392059ce0afdcac920df29d9c833256354d0c55f1584b0b70cf07e"},
{file = "pydantic_core-2.23.3-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:87cfa0ed6b8c5bd6ae8b66de941cece179281239d482f363814d2b986b79cedc"},
{file = "pydantic_core-2.23.3-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e61328920154b6a44d98cabcb709f10e8b74276bc709c9a513a8c37a18786cc4"},
{file = "pydantic_core-2.23.3-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ce3317d155628301d649fe5e16a99528d5680af4ec7aa70b90b8dacd2d725c9b"},
{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e89513f014c6be0d17b00a9a7c81b1c426f4eb9224b15433f3d98c1a071f8433"},
{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:4f62c1c953d7ee375df5eb2e44ad50ce2f5aff931723b398b8bc6f0ac159791a"},
{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2718443bc671c7ac331de4eef9b673063b10af32a0bb385019ad61dcf2cc8f6c"},
{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0d90e08b2727c5d01af1b5ef4121d2f0c99fbee692c762f4d9d0409c9da6541"},
{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2b676583fc459c64146debea14ba3af54e540b61762dfc0613dc4e98c3f66eeb"},
{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:50e4661f3337977740fdbfbae084ae5693e505ca2b3130a6d4eb0f2281dc43b8"},
{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:68f4cf373f0de6abfe599a38307f4417c1c867ca381c03df27c873a9069cda25"},
{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:59d52cf01854cb26c46958552a21acb10dd78a52aa34c86f284e66b209db8cab"},
{file = "pydantic_core-2.23.3.tar.gz", hash = "sha256:3cb0f65d8b4121c1b015c60104a685feb929a29d7cf204387c7f2688c7974690"},
]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pytest"
version = "7.4.4"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
{file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
iniconfig = "*"
packaging = "*"
pluggy = ">=0.12,<2.0"
tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
[package.extras]
testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "pytest-asyncio"
version = "0.21.2"
description = "Pytest support for asyncio"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
{file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
]
[package.dependencies]
pytest = ">=7.0.0"
[package.extras]
docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
[[package]]
name = "pytest-mock"
version = "3.14.0"
description = "Thin-wrapper around the mock package for easier use with pytest"
optional = false
python-versions = ">=3.8"
files = [
{file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
{file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
]
[package.dependencies]
pytest = ">=6.2.5"
[package.extras]
dev = ["pre-commit", "pytest-asyncio", "tox"]
[[package]]
name = "pytest-watcher"
version = "0.3.5"
description = "Automatically rerun your tests on file modifications"
optional = false
python-versions = ">=3.7.0,<4.0.0"
files = [
{file = "pytest_watcher-0.3.5-py3-none-any.whl", hash = "sha256:af00ca52c7be22dc34c0fd3d7ffef99057207a73b05dc5161fe3b2fe91f58130"},
{file = "pytest_watcher-0.3.5.tar.gz", hash = "sha256:8896152460ba2b1a8200c12117c6611008ec96c8b2d811f0a05ab8a82b043ff8"},
]
[package.dependencies]
tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version < \"3.11\""}
watchdog = ">=2.0.0"
[[package]]
name = "python-dateutil"
version = "2.9.0.post0"
description = "Extensions to the standard Python datetime module"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
{file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
{file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
]
[package.dependencies]
six = ">=1.5"
[[package]]
name = "pyyaml"
version = "6.0.2"
description = "YAML parser and emitter for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
{file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"},
{file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"},
{file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"},
{file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"},
{file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"},
{file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"},
{file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"},
{file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"},
{file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"},
{file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"},
{file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"},
{file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"},
{file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"},
{file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"},
{file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"},
{file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
]
[[package]]
name = "requests"
version = "2.32.3"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
files = [
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
]
[package.dependencies]
certifi = ">=2017.4.17"
charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<3"
[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "requests-toolbelt"
version = "1.0.0"
description = "A utility belt for advanced users of python-requests"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
{file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
]
[package.dependencies]
requests = ">=2.0.1,<3.0.0"
[[package]]
name = "ruff"
version = "0.5.7"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
files = [
{file = "ruff-0.5.7-py3-none-linux_armv6l.whl", hash = "sha256:548992d342fc404ee2e15a242cdbea4f8e39a52f2e7752d0e4cbe88d2d2f416a"},
{file = "ruff-0.5.7-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:00cc8872331055ee017c4f1071a8a31ca0809ccc0657da1d154a1d2abac5c0be"},
{file = "ruff-0.5.7-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eaf3d86a1fdac1aec8a3417a63587d93f906c678bb9ed0b796da7b59c1114a1e"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a01c34400097b06cf8a6e61b35d6d456d5bd1ae6961542de18ec81eaf33b4cb8"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fcc8054f1a717e2213500edaddcf1dbb0abad40d98e1bd9d0ad364f75c763eea"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7f70284e73f36558ef51602254451e50dd6cc479f8b6f8413a95fcb5db4a55fc"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:a78ad870ae3c460394fc95437d43deb5c04b5c29297815a2a1de028903f19692"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9ccd078c66a8e419475174bfe60a69adb36ce04f8d4e91b006f1329d5cd44bcf"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7e31c9bad4ebf8fdb77b59cae75814440731060a09a0e0077d559a556453acbb"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d796327eed8e168164346b769dd9a27a70e0298d667b4ecee6877ce8095ec8e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:4a09ea2c3f7778cc635e7f6edf57d566a8ee8f485f3c4454db7771efb692c499"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:a36d8dcf55b3a3bc353270d544fb170d75d2dff41eba5df57b4e0b67a95bb64e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_i686.whl", hash = "sha256:9369c218f789eefbd1b8d82a8cf25017b523ac47d96b2f531eba73770971c9e5"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b88ca3db7eb377eb24fb7c82840546fb7acef75af4a74bd36e9ceb37a890257e"},
{file = "ruff-0.5.7-py3-none-win32.whl", hash = "sha256:33d61fc0e902198a3e55719f4be6b375b28f860b09c281e4bdbf783c0566576a"},
{file = "ruff-0.5.7-py3-none-win_amd64.whl", hash = "sha256:083bbcbe6fadb93cd86709037acc510f86eed5a314203079df174c40bbbca6b3"},
{file = "ruff-0.5.7-py3-none-win_arm64.whl", hash = "sha256:2dca26154ff9571995107221d0aeaad0e75a77b5a682d6236cf89a58c70b76f4"},
{file = "ruff-0.5.7.tar.gz", hash = "sha256:8dfc0a458797f5d9fb622dd0efc52d796f23f0a1493a9527f4e49a550ae9a7e5"},
]
[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]
[[package]]
name = "sniffio"
version = "1.3.1"
description = "Sniff out which async library your code is running under"
optional = false
python-versions = ">=3.7"
files = [
{file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
{file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
]
[[package]]
name = "syrupy"
version = "4.7.1"
description = "Pytest Snapshot Test Utility"
optional = false
python-versions = ">=3.8.1"
files = [
{file = "syrupy-4.7.1-py3-none-any.whl", hash = "sha256:be002267a512a4bedddfae2e026c93df1ea928ae10baadc09640516923376d41"},
{file = "syrupy-4.7.1.tar.gz", hash = "sha256:f9d4485f3f27d0e5df6ed299cac6fa32eb40a441915d988e82be5a4bdda335c8"},
]
[package.dependencies]
pytest = ">=7.0.0,<9.0.0"
[[package]]
name = "tenacity"
version = "8.5.0"
description = "Retry code until it succeeds"
optional = false
python-versions = ">=3.8"
files = [
{file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
{file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
]
[package.extras]
doc = ["reno", "sphinx"]
test = ["pytest", "tornado (>=4.5)", "typeguard"]
[[package]]
name = "tomli"
version = "2.0.1"
description = "A lil' TOML parser"
optional = false
python-versions = ">=3.7"
files = [
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
]
[[package]]
name = "tqdm"
version = "4.66.5"
description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
files = [
{file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
{file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
]
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
name = "typing-extensions"
version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[[package]]
name = "urllib3"
version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
{file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
{file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
]
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "watchdog"
version = "5.0.2"
description = "Filesystem events monitoring"
optional = false
python-versions = ">=3.9"
files = [
{file = "watchdog-5.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d961f4123bb3c447d9fcdcb67e1530c366f10ab3a0c7d1c0c9943050936d4877"},
{file = "watchdog-5.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72990192cb63872c47d5e5fefe230a401b87fd59d257ee577d61c9e5564c62e5"},
{file = "watchdog-5.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6bec703ad90b35a848e05e1b40bf0050da7ca28ead7ac4be724ae5ac2653a1a0"},
{file = "watchdog-5.0.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:dae7a1879918f6544201d33666909b040a46421054a50e0f773e0d870ed7438d"},
{file = "watchdog-5.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c4a440f725f3b99133de610bfec93d570b13826f89616377715b9cd60424db6e"},
{file = "watchdog-5.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f8b2918c19e0d48f5f20df458c84692e2a054f02d9df25e6c3c930063eca64c1"},
{file = "watchdog-5.0.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:aa9cd6e24126d4afb3752a3e70fce39f92d0e1a58a236ddf6ee823ff7dba28ee"},
{file = "watchdog-5.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f627c5bf5759fdd90195b0c0431f99cff4867d212a67b384442c51136a098ed7"},
{file = "watchdog-5.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d7594a6d32cda2b49df3fd9abf9b37c8d2f3eab5df45c24056b4a671ac661619"},
{file = "watchdog-5.0.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ba32efcccfe2c58f4d01115440d1672b4eb26cdd6fc5b5818f1fb41f7c3e1889"},
{file = "watchdog-5.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:963f7c4c91e3f51c998eeff1b3fb24a52a8a34da4f956e470f4b068bb47b78ee"},
{file = "watchdog-5.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:8c47150aa12f775e22efff1eee9f0f6beee542a7aa1a985c271b1997d340184f"},
{file = "watchdog-5.0.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:14dd4ed023d79d1f670aa659f449bcd2733c33a35c8ffd88689d9d243885198b"},
{file = "watchdog-5.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b84bff0391ad4abe25c2740c7aec0e3de316fdf7764007f41e248422a7760a7f"},
{file = "watchdog-5.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3e8d5ff39f0a9968952cce548e8e08f849141a4fcc1290b1c17c032ba697b9d7"},
{file = "watchdog-5.0.2-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fb223456db6e5f7bd9bbd5cd969f05aae82ae21acc00643b60d81c770abd402b"},
{file = "watchdog-5.0.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9814adb768c23727a27792c77812cf4e2fd9853cd280eafa2bcfa62a99e8bd6e"},
{file = "watchdog-5.0.2-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:901ee48c23f70193d1a7bc2d9ee297df66081dd5f46f0ca011be4f70dec80dab"},
{file = "watchdog-5.0.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:638bcca3d5b1885c6ec47be67bf712b00a9ab3d4b22ec0881f4889ad870bc7e8"},
{file = "watchdog-5.0.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5597c051587f8757798216f2485e85eac583c3b343e9aa09127a3a6f82c65ee8"},
{file = "watchdog-5.0.2-py3-none-manylinux2014_armv7l.whl", hash = "sha256:53ed1bf71fcb8475dd0ef4912ab139c294c87b903724b6f4a8bd98e026862e6d"},
{file = "watchdog-5.0.2-py3-none-manylinux2014_i686.whl", hash = "sha256:29e4a2607bd407d9552c502d38b45a05ec26a8e40cc7e94db9bb48f861fa5abc"},
{file = "watchdog-5.0.2-py3-none-manylinux2014_ppc64.whl", hash = "sha256:b6dc8f1d770a8280997e4beae7b9a75a33b268c59e033e72c8a10990097e5fde"},
{file = "watchdog-5.0.2-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:d2ab34adc9bf1489452965cdb16a924e97d4452fcf88a50b21859068b50b5c3b"},
{file = "watchdog-5.0.2-py3-none-manylinux2014_s390x.whl", hash = "sha256:7d1aa7e4bb0f0c65a1a91ba37c10e19dabf7eaaa282c5787e51371f090748f4b"},
{file = "watchdog-5.0.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:726eef8f8c634ac6584f86c9c53353a010d9f311f6c15a034f3800a7a891d941"},
{file = "watchdog-5.0.2-py3-none-win32.whl", hash = "sha256:bda40c57115684d0216556671875e008279dea2dc00fcd3dde126ac8e0d7a2fb"},
{file = "watchdog-5.0.2-py3-none-win_amd64.whl", hash = "sha256:d010be060c996db725fbce7e3ef14687cdcc76f4ca0e4339a68cc4532c382a73"},
{file = "watchdog-5.0.2-py3-none-win_ia64.whl", hash = "sha256:3960136b2b619510569b90f0cd96408591d6c251a75c97690f4553ca88889769"},
{file = "watchdog-5.0.2.tar.gz", hash = "sha256:dcebf7e475001d2cdeb020be630dc5b687e9acdd60d16fea6bb4508e7b94cf76"},
]
[package.extras]
watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "669e7eef062dc0dad822b2d13e1349bbbd1a65c0a27a23f65318dbc0834b2dee"
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/exa/README.md | # langchain-exa
This package contains the LangChain integrations for Exa Cloud generative models.
## Installation
```bash
pip install -U langchain-exa
```
## Exa Search Retriever
You can retrieve search results as follows
```python
from langchain_exa import ExaSearchRetriever
exa_api_key = "YOUR API KEY"
# Create a new instance of the ExaSearchRetriever
exa = ExaSearchRetriever(exa_api_key=exa_api_key)
# Search for a query and save the results
results = exa.invoke("What is the capital of France?")
# Print the results
print(results)
```
## Exa Search Results
You can run the ExaSearchResults module as follows
```python
from langchain_exa import ExaSearchResults
# Initialize the ExaSearchResults tool
search_tool = ExaSearchResults(exa_api_key="YOUR API KEY")
# Perform a search query
search_results = search_tool._run(
query="When was the last time the New York Knicks won the NBA Championship?",
num_results=5,
text_contents_options=True,
highlights=True
)
print("Search Results:", search_results)
```
## Exa Find Similar Results
You can run the ExaFindSimilarResults module as follows
```python
from langchain_exa import ExaFindSimilarResults
# Initialize the ExaFindSimilarResults tool
find_similar_tool = ExaFindSimilarResults(exa_api_key="YOUR API KEY")
# Find similar results based on a URL
similar_results = find_similar_tool._run(
url="http://espn.com",
num_results=5,
text_contents_options=True,
highlights=True
)
print("Similar Results:", similar_results)
``` |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/exa/pyproject.toml | [build-system]
requires = [ "poetry-core>=1.0.0",]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-exa"
version = "0.2.1"
description = "An integration package connecting Exa and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.mypy]
disallow_untyped_defs = "True"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/exa"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-exa%3D%3D0%22&expanded=true"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = "^0.3.15"
exa-py = "^1.0.8"
[tool.ruff.lint]
select = [ "E", "F", "I", "T201",]
[tool.coverage.run]
omit = [ "tests/*",]
[tool.pytest.ini_options]
addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5"
markers = [ "requires: mark tests as requiring a specific library", "compile: mark placeholder test used to compile integration tests without running them",]
asyncio_mode = "auto"
[tool.poetry.group.test]
optional = true
[tool.poetry.group.codespell]
optional = true
[tool.poetry.group.lint]
optional = true
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.test_integration]
optional = true
[tool.poetry.group.test.dependencies]
pytest = "^7.3.0"
freezegun = "^1.2.2"
pytest-mock = "^3.10.0"
syrupy = "^4.0.2"
pytest-watcher = "^0.3.4"
pytest-asyncio = "^0.21.1"
[tool.poetry.group.codespell.dependencies]
codespell = "^2.2.0"
[tool.poetry.group.lint.dependencies]
ruff = "^0.5"
[tool.poetry.group.test_integration.dependencies]
[tool.poetry.group.typing.dependencies]
mypy = "^1.10"
[tool.poetry.group.test.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.dev.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.typing.dependencies.langchain-core]
path = "../../core"
develop = true
|
0 | lc_public_repos/langchain/libs/partners/exa/tests | lc_public_repos/langchain/libs/partners/exa/tests/integration_tests/test_search_tool.py | from langchain_exa import (
ExaSearchResults, # type: ignore[import-not-found, import-not-found]
)
def test_search_tool() -> None:
tool = ExaSearchResults()
res = tool.invoke({"query": "best time to visit japan", "num_results": 5})
print(res) # noqa: T201
assert not isinstance(res, str) # str means error for this tool\
|
0 | lc_public_repos/langchain/libs/partners/exa/tests | lc_public_repos/langchain/libs/partners/exa/tests/integration_tests/test_retriever.py | from langchain_core.documents import (
Document, # type: ignore[import-not-found, import-not-found]
)
from langchain_exa import ExaSearchRetriever
def test_exa_retriever() -> None:
retriever = ExaSearchRetriever()
res = retriever.invoke("best time to visit japan")
print(res) # noqa: T201
assert len(res) == 10 # default k
assert isinstance(res, list)
assert isinstance(res[0], Document)
def test_exa_retriever_highlights() -> None:
retriever = ExaSearchRetriever(highlights=True)
res = retriever.invoke("best time to visit japan")
print(res) # noqa: T201
assert isinstance(res, list)
assert isinstance(res[0], Document)
highlights = res[0].metadata["highlights"]
highlight_scores = res[0].metadata["highlight_scores"]
assert isinstance(highlights, list)
assert isinstance(highlight_scores, list)
assert isinstance(highlights[0], str)
assert isinstance(highlight_scores[0], float)
|
0 | lc_public_repos/langchain/libs/partners/exa/tests | lc_public_repos/langchain/libs/partners/exa/tests/integration_tests/test_compile.py | import pytest # type: ignore[import-not-found, import-not-found]
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
|
0 | lc_public_repos/langchain/libs/partners/exa/tests | lc_public_repos/langchain/libs/partners/exa/tests/integration_tests/test_find_similar_tool.py | from langchain_exa import (
ExaFindSimilarResults, # type: ignore[import-not-found, import-not-found]
)
def test_similarity_tool() -> None:
tool = ExaFindSimilarResults()
res = tool.invoke(
{
"url": "https://boutiquejapan.com/when-is-the-best-time-of-year-to-visit-japan/",
"num_results": 5,
}
)
print(res) # noqa: T201
assert not isinstance(res, str) # str means error for this tool
|
0 | lc_public_repos/langchain/libs/partners/exa/tests | lc_public_repos/langchain/libs/partners/exa/tests/unit_tests/test_imports.py | from langchain_exa import __all__ # type: ignore[import-not-found, import-not-found]
EXPECTED_ALL = [
"ExaSearchResults",
"ExaSearchRetriever",
"HighlightsContentsOptions",
"TextContentsOptions",
"ExaFindSimilarResults",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
|
0 | lc_public_repos/langchain/libs/partners/exa | lc_public_repos/langchain/libs/partners/exa/langchain_exa/retrievers.py | from typing import Any, Dict, List, Literal, Optional, Union
from exa_py import Exa # type: ignore[untyped-import]
from exa_py.api import (
HighlightsContentsOptions, # type: ignore[untyped-import]
TextContentsOptions, # type: ignore[untyped-import]
)
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
from pydantic import Field, SecretStr, model_validator
from langchain_exa._utilities import initialize_client
def _get_metadata(result: Any) -> Dict[str, Any]:
"""Get the metadata from a result object."""
metadata = {
"title": result.title,
"url": result.url,
"id": result.id,
"score": result.score,
"published_date": result.published_date,
"author": result.author,
}
if getattr(result, "highlights"):
metadata["highlights"] = result.highlights
if getattr(result, "highlight_scores"):
metadata["highlight_scores"] = result.highlight_scores
return metadata
class ExaSearchRetriever(BaseRetriever):
"""Exa Search retriever."""
k: int = 10 # num_results
"""The number of search results to return."""
include_domains: Optional[List[str]] = None
"""A list of domains to include in the search."""
exclude_domains: Optional[List[str]] = None
"""A list of domains to exclude from the search."""
start_crawl_date: Optional[str] = None
"""The start date for the crawl (in YYYY-MM-DD format)."""
end_crawl_date: Optional[str] = None
"""The end date for the crawl (in YYYY-MM-DD format)."""
start_published_date: Optional[str] = None
"""The start date for when the document was published (in YYYY-MM-DD format)."""
end_published_date: Optional[str] = None
"""The end date for when the document was published (in YYYY-MM-DD format)."""
use_autoprompt: Optional[bool] = None
"""Whether to use autoprompt for the search."""
type: str = "neural"
"""The type of search, 'keyword' or 'neural'. Default: neural"""
highlights: Optional[Union[HighlightsContentsOptions, bool]] = None
"""Whether to set the page content to the highlights of the results."""
text_contents_options: Union[TextContentsOptions, Literal[True]] = True
"""How to set the page content of the results"""
client: Exa = Field(default=None)
exa_api_key: SecretStr = Field(default=None)
exa_base_url: Optional[str] = None
@model_validator(mode="before")
@classmethod
def validate_environment(cls, values: Dict) -> Any:
"""Validate the environment."""
values = initialize_client(values)
return values
def _get_relevant_documents(
self, query: str, *, run_manager: CallbackManagerForRetrieverRun
) -> List[Document]:
response = self.client.search_and_contents( # type: ignore[misc]
query,
num_results=self.k,
text=self.text_contents_options,
highlights=self.highlights, # type: ignore
include_domains=self.include_domains,
exclude_domains=self.exclude_domains,
start_crawl_date=self.start_crawl_date,
end_crawl_date=self.end_crawl_date,
start_published_date=self.start_published_date,
end_published_date=self.end_published_date,
use_autoprompt=self.use_autoprompt,
)
results = response.results
return [
Document(
page_content=(result.text),
metadata=_get_metadata(result),
)
for result in results
]
|
0 | lc_public_repos/langchain/libs/partners/exa | lc_public_repos/langchain/libs/partners/exa/langchain_exa/_utilities.py | import os # type: ignore[import-not-found]
from typing import Dict
from exa_py import Exa # type: ignore
from langchain_core.utils import convert_to_secret_str
def initialize_client(values: Dict) -> Dict:
"""Initialize the client."""
exa_api_key = values.get("exa_api_key") or os.environ.get("EXA_API_KEY") or ""
values["exa_api_key"] = convert_to_secret_str(exa_api_key)
args = {
"api_key": values["exa_api_key"].get_secret_value(),
}
if values.get("exa_base_url"):
args["base_url"] = values["exa_base_url"]
values["client"] = Exa(**args)
return values
|
0 | lc_public_repos/langchain/libs/partners/exa | lc_public_repos/langchain/libs/partners/exa/langchain_exa/tools.py | """Tool for the Exa Search API."""
from typing import Any, Dict, List, Optional, Union
from exa_py import Exa # type: ignore[untyped-import]
from exa_py.api import (
HighlightsContentsOptions, # type: ignore[untyped-import]
TextContentsOptions, # type: ignore[untyped-import]
)
from langchain_core.callbacks import (
CallbackManagerForToolRun,
)
from langchain_core.tools import BaseTool
from pydantic import Field, SecretStr, model_validator
from langchain_exa._utilities import initialize_client
class ExaSearchResults(BaseTool):
"""Exa Search tool.
Setup:
Install ``langchain-exa`` and set environment variable ``EXA_API_KEY``.
.. code-block:: bash
pip install -U langchain-exa
export EXA_API_KEY="your-api-key"
Instantiation:
.. code-block:: python
from langchain-exa import ExaSearchResults
tool = ExaSearchResults()
Invocation with args:
.. code-block:: python
tool.invoke({"query":"what is the weather in SF","num_results":1})
.. code-block:: python
SearchResponse(results=[Result(url='https://www.wunderground.com/weather/37.8,-122.4', id='https://www.wunderground.com/weather/37.8,-122.4', title='San Francisco, CA Weather Conditionsstar_ratehome', score=0.1843988299369812, published_date='2023-02-23T01:17:06.594Z', author=None, text='The time period when the sun is no more than 6 degrees below the horizon at either sunrise or sunset. The horizon should be clearly defined and the brightest stars should be visible under good atmospheric conditions (i.e. no moonlight, or other lights). One still should be able to carry on ordinary outdoor activities. The time period when the sun is between 6 and 12 degrees below the horizon at either sunrise or sunset. The horizon is well defined and the outline of objects might be visible without artificial light. Ordinary outdoor activities are not possible at this time without extra illumination. The time period when the sun is between 12 and 18 degrees below the horizon at either sunrise or sunset. The sun does not contribute to the illumination of the sky before this time in the morning, or after this time in the evening. In the beginning of morning astronomical twilight and at the end of astronomical twilight in the evening, sky illumination is very faint, and might be undetectable. The time of Civil Sunset minus the time of Civil Sunrise. The time of Actual Sunset minus the time of Actual Sunrise. The change in length of daylight between today and tomorrow is also listed when available.', highlights=None, highlight_scores=None, summary=None)], autoprompt_string=None)
Invocation with ToolCall:
.. code-block:: python
tool.invoke({"args": {"query":"what is the weather in SF","num_results":1}, "id": "1", "name": tool.name, "type": "tool_call"})
.. code-block:: python
ToolMessage(content='Title: San Francisco, CA Weather Conditionsstar_ratehome\nURL: https://www.wunderground.com/weather/37.8,-122.4\nID: https://www.wunderground.com/weather/37.8,-122.4\nScore: 0.1843988299369812\nPublished Date: 2023-02-23T01:17:06.594Z\nAuthor: None\nText: The time period when the sun is no more than 6 degrees below the horizon at either sunrise or sunset. The horizon should be clearly defined and the brightest stars should be visible under good atmospheric conditions (i.e. no moonlight, or other lights). One still should be able to carry on ordinary outdoor activities. The time period when the sun is between 6 and 12 degrees below the horizon at either sunrise or sunset. The horizon is well defined and the outline of objects might be visible without artificial light. Ordinary outdoor activities are not possible at this time without extra illumination. The time period when the sun is between 12 and 18 degrees below the horizon at either sunrise or sunset. The sun does not contribute to the illumination of the sky before this time in the morning, or after this time in the evening. In the beginning of morning astronomical twilight and at the end of astronomical twilight in the evening, sky illumination is very faint, and might be undetectable. The time of Civil Sunset minus the time of Civil Sunrise. The time of Actual Sunset minus the time of Actual Sunrise. The change in length of daylight between today and tomorrow is also listed when available.\nHighlights: None\nHighlight Scores: None\nSummary: None\n', name='exa_search_results_json', tool_call_id='1')
""" # noqa: E501
name: str = "exa_search_results_json"
description: str = (
"A wrapper around Exa Search. "
"Input should be an Exa-optimized query. "
"Output is a JSON array of the query results"
)
client: Exa = Field(default=None)
exa_api_key: SecretStr = Field(default=None)
@model_validator(mode="before")
@classmethod
def validate_environment(cls, values: Dict) -> Any:
"""Validate the environment."""
values = initialize_client(values)
return values
def _run(
self,
query: str,
num_results: int,
text_contents_options: Optional[Union[TextContentsOptions, bool]] = None,
highlights: Optional[Union[HighlightsContentsOptions, bool]] = None,
include_domains: Optional[List[str]] = None,
exclude_domains: Optional[List[str]] = None,
start_crawl_date: Optional[str] = None,
end_crawl_date: Optional[str] = None,
start_published_date: Optional[str] = None,
end_published_date: Optional[str] = None,
use_autoprompt: Optional[bool] = None,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> Union[List[Dict], str]:
"""Use the tool."""
try:
return self.client.search_and_contents(
query,
num_results=num_results,
text=text_contents_options, # type: ignore
highlights=highlights, # type: ignore
include_domains=include_domains,
exclude_domains=exclude_domains,
start_crawl_date=start_crawl_date,
end_crawl_date=end_crawl_date,
start_published_date=start_published_date,
end_published_date=end_published_date,
use_autoprompt=use_autoprompt,
) # type: ignore
except Exception as e:
return repr(e)
class ExaFindSimilarResults(BaseTool):
"""Tool that queries the Metaphor Search API and gets back json."""
name: str = "exa_find_similar_results_json"
description: str = (
"A wrapper around Exa Find Similar. "
"Input should be an Exa-optimized query. "
"Output is a JSON array of the query results"
)
client: Exa = Field(default=None)
exa_api_key: SecretStr = Field(default=None)
exa_base_url: Optional[str] = None
@model_validator(mode="before")
@classmethod
def validate_environment(cls, values: Dict) -> Any:
"""Validate the environment."""
values = initialize_client(values)
return values
def _run(
self,
url: str,
num_results: int,
text_contents_options: Optional[Union[TextContentsOptions, bool]] = None,
highlights: Optional[Union[HighlightsContentsOptions, bool]] = None,
include_domains: Optional[List[str]] = None,
exclude_domains: Optional[List[str]] = None,
start_crawl_date: Optional[str] = None,
end_crawl_date: Optional[str] = None,
start_published_date: Optional[str] = None,
end_published_date: Optional[str] = None,
exclude_source_domain: Optional[bool] = None,
category: Optional[str] = None,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> Union[List[Dict], str]:
"""Use the tool."""
try:
return self.client.find_similar_and_contents(
url,
num_results=num_results,
text=text_contents_options, # type: ignore
highlights=highlights, # type: ignore
include_domains=include_domains,
exclude_domains=exclude_domains,
start_crawl_date=start_crawl_date,
end_crawl_date=end_crawl_date,
start_published_date=start_published_date,
end_published_date=end_published_date,
exclude_source_domain=exclude_source_domain,
category=category,
) # type: ignore
except Exception as e:
return repr(e)
|
0 | lc_public_repos/langchain/libs/partners/exa | lc_public_repos/langchain/libs/partners/exa/langchain_exa/__init__.py | from exa_py.api import ( # type: ignore # type: ignore[import-not-found, import-not-found]
HighlightsContentsOptions,
TextContentsOptions,
)
from langchain_exa.retrievers import ExaSearchRetriever
from langchain_exa.tools import ExaFindSimilarResults, ExaSearchResults
__all__ = [
"ExaSearchResults",
"ExaSearchRetriever",
"HighlightsContentsOptions",
"TextContentsOptions",
"ExaFindSimilarResults",
]
|
0 | lc_public_repos/langchain/libs/partners/exa | lc_public_repos/langchain/libs/partners/exa/scripts/lint_imports.sh | #!/bin/bash
set -eu
# Initialize a variable to keep track of errors
errors=0
# make sure not importing from langchain or langchain_experimental
git --no-pager grep '^from langchain\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1))
# Decide on an exit status based on the errors
if [ "$errors" -gt 0 ]; then
exit 1
else
exit 0
fi
|
0 | lc_public_repos/langchain/libs/partners/exa | lc_public_repos/langchain/libs/partners/exa/scripts/check_imports.py | import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
print(file) # noqa: T201
traceback.print_exc()
print() # noqa: T201
sys.exit(1 if has_failure else 0)
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/fireworks/Makefile | .PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_test integration_tests: TEST_FILE = tests/integration_tests/
test tests integration_test integration_tests:
poetry run pytest $(TEST_FILE)
test_watch:
poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE)
######################
# LINTING AND FORMATTING
######################
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/fireworks --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langchain_fireworks
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)
spell_check:
poetry run codespell --toml pyproject.toml
spell_fix:
poetry run codespell --toml pyproject.toml -w
check_imports: $(shell find langchain_fireworks -name '*.py')
poetry run python ./scripts/check_imports.py $^
######################
# HELP
######################
help:
@echo '----'
@echo 'check_imports - check imports'
@echo 'format - run code formatters'
@echo 'lint - run linters'
@echo 'test - run unit tests'
@echo 'tests - run unit tests'
@echo 'test TEST_FILE=<test_file> - run all tests in file'
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/fireworks/LICENSE | MIT License
Copyright (c) 2024 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/fireworks/poetry.lock | # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
version = "2.4.3"
description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
files = [
{file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
{file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
]
[[package]]
name = "aiohttp"
version = "3.10.9"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
{file = "aiohttp-3.10.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8b3fb28a9ac8f2558760d8e637dbf27aef1e8b7f1d221e8669a1074d1a266bb2"},
{file = "aiohttp-3.10.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91aa966858593f64c8a65cdefa3d6dc8fe3c2768b159da84c1ddbbb2c01ab4ef"},
{file = "aiohttp-3.10.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:63649309da83277f06a15bbdc2a54fbe75efb92caa2c25bb57ca37762789c746"},
{file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3e7fabedb3fe06933f47f1538df7b3a8d78e13d7167195f51ca47ee12690373"},
{file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5c070430fda1a550a1c3a4c2d7281d3b8cfc0c6715f616e40e3332201a253067"},
{file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:51d0a4901b27272ae54e42067bc4b9a90e619a690b4dc43ea5950eb3070afc32"},
{file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fec5fac7aea6c060f317f07494961236434928e6f4374e170ef50b3001e14581"},
{file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:172ad884bb61ad31ed7beed8be776eb17e7fb423f1c1be836d5cb357a096bf12"},
{file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d646fdd74c25bbdd4a055414f0fe32896c400f38ffbdfc78c68e62812a9e0257"},
{file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e86260b76786c28acf0b5fe31c8dca4c2add95098c709b11e8c35b424ebd4f5b"},
{file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:c7d7cafc11d70fdd8801abfc2ff276744ae4cb39d8060b6b542c7e44e5f2cfc2"},
{file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:fc262c3df78c8ff6020c782d9ce02e4bcffe4900ad71c0ecdad59943cba54442"},
{file = "aiohttp-3.10.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:482c85cf3d429844396d939b22bc2a03849cb9ad33344689ad1c85697bcba33a"},
{file = "aiohttp-3.10.9-cp310-cp310-win32.whl", hash = "sha256:aeebd3061f6f1747c011e1d0b0b5f04f9f54ad1a2ca183e687e7277bef2e0da2"},
{file = "aiohttp-3.10.9-cp310-cp310-win_amd64.whl", hash = "sha256:fa430b871220dc62572cef9c69b41e0d70fcb9d486a4a207a5de4c1f25d82593"},
{file = "aiohttp-3.10.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:16e6a51d8bc96b77f04a6764b4ad03eeef43baa32014fce71e882bd71302c7e4"},
{file = "aiohttp-3.10.9-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8bd9125dd0cc8ebd84bff2be64b10fdba7dc6fd7be431b5eaf67723557de3a31"},
{file = "aiohttp-3.10.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dcf354661f54e6a49193d0b5653a1b011ba856e0b7a76bda2c33e4c6892f34ea"},
{file = "aiohttp-3.10.9-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42775de0ca04f90c10c5c46291535ec08e9bcc4756f1b48f02a0657febe89b10"},
{file = "aiohttp-3.10.9-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:87d1e4185c5d7187684d41ebb50c9aeaaaa06ca1875f4c57593071b0409d2444"},
{file = "aiohttp-3.10.9-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c2695c61cf53a5d4345a43d689f37fc0f6d3a2dc520660aec27ec0f06288d1f9"},
{file = "aiohttp-3.10.9-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a3f063b41cc06e8d0b3fcbbfc9c05b7420f41287e0cd4f75ce0a1f3d80729e6"},
{file = "aiohttp-3.10.9-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2d37f4718002863b82c6f391c8efd4d3a817da37030a29e2682a94d2716209de"},
{file = "aiohttp-3.10.9-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:2746d8994ebca1bdc55a1e998feff4e94222da709623bb18f6e5cfec8ec01baf"},
{file = "aiohttp-3.10.9-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:6f3c6648aa123bcd73d6f26607d59967b607b0da8ffcc27d418a4b59f4c98c7c"},
{file = "aiohttp-3.10.9-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:558b3d223fd631ad134d89adea876e7fdb4c93c849ef195049c063ada82b7d08"},
{file = "aiohttp-3.10.9-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:4e6cb75f8ddd9c2132d00bc03c9716add57f4beff1263463724f6398b813e7eb"},
{file = "aiohttp-3.10.9-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:608cecd8d58d285bfd52dbca5b6251ca8d6ea567022c8a0eaae03c2589cd9af9"},
{file = "aiohttp-3.10.9-cp311-cp311-win32.whl", hash = "sha256:36d4fba838be5f083f5490ddd281813b44d69685db910907636bc5dca6322316"},
{file = "aiohttp-3.10.9-cp311-cp311-win_amd64.whl", hash = "sha256:8be1a65487bdfc285bd5e9baf3208c2132ca92a9b4020e9f27df1b16fab998a9"},
{file = "aiohttp-3.10.9-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:4fd16b30567c5b8e167923be6e027eeae0f20cf2b8a26b98a25115f28ad48ee0"},
{file = "aiohttp-3.10.9-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:40ff5b7660f903dc587ed36ef08a88d46840182d9d4b5694e7607877ced698a1"},
{file = "aiohttp-3.10.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4edc3fd701e2b9a0d605a7b23d3de4ad23137d23fc0dbab726aa71d92f11aaaf"},
{file = "aiohttp-3.10.9-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e525b69ee8a92c146ae5b4da9ecd15e518df4d40003b01b454ad694a27f498b5"},
{file = "aiohttp-3.10.9-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5002a02c17fcfd796d20bac719981d2fca9c006aac0797eb8f430a58e9d12431"},
{file = "aiohttp-3.10.9-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd4ceeae2fb8cabdd1b71c82bfdd39662473d3433ec95b962200e9e752fb70d0"},
{file = "aiohttp-3.10.9-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d6e395c3d1f773cf0651cd3559e25182eb0c03a2777b53b4575d8adc1149c6e9"},
{file = "aiohttp-3.10.9-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bbdb8def5268f3f9cd753a265756f49228a20ed14a480d151df727808b4531dd"},
{file = "aiohttp-3.10.9-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f82ace0ec57c94aaf5b0e118d4366cff5889097412c75aa14b4fd5fc0c44ee3e"},
{file = "aiohttp-3.10.9-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:6ebdc3b3714afe1b134b3bbeb5f745eed3ecbcff92ab25d80e4ef299e83a5465"},
{file = "aiohttp-3.10.9-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:f9ca09414003c0e96a735daa1f071f7d7ed06962ef4fa29ceb6c80d06696d900"},
{file = "aiohttp-3.10.9-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:1298b854fd31d0567cbb916091be9d3278168064fca88e70b8468875ef9ff7e7"},
{file = "aiohttp-3.10.9-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:60ad5b8a7452c0f5645c73d4dad7490afd6119d453d302cd5b72b678a85d6044"},
{file = "aiohttp-3.10.9-cp312-cp312-win32.whl", hash = "sha256:1a0ee6c0d590c917f1b9629371fce5f3d3f22c317aa96fbdcce3260754d7ea21"},
{file = "aiohttp-3.10.9-cp312-cp312-win_amd64.whl", hash = "sha256:c46131c6112b534b178d4e002abe450a0a29840b61413ac25243f1291613806a"},
{file = "aiohttp-3.10.9-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:2bd9f3eac515c16c4360a6a00c38119333901b8590fe93c3257a9b536026594d"},
{file = "aiohttp-3.10.9-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8cc0d13b4e3b1362d424ce3f4e8c79e1f7247a00d792823ffd640878abf28e56"},
{file = "aiohttp-3.10.9-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:ba1a599255ad6a41022e261e31bc2f6f9355a419575b391f9655c4d9e5df5ff5"},
{file = "aiohttp-3.10.9-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:776e9f3c9b377fcf097c4a04b241b15691e6662d850168642ff976780609303c"},
{file = "aiohttp-3.10.9-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8debb45545ad95b58cc16c3c1cc19ad82cffcb106db12b437885dbee265f0ab5"},
{file = "aiohttp-3.10.9-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c2555e4949c8d8782f18ef20e9d39730d2656e218a6f1a21a4c4c0b56546a02e"},
{file = "aiohttp-3.10.9-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c54dc329cd44f7f7883a9f4baaefe686e8b9662e2c6c184ea15cceee587d8d69"},
{file = "aiohttp-3.10.9-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e709d6ac598c5416f879bb1bae3fd751366120ac3fa235a01de763537385d036"},
{file = "aiohttp-3.10.9-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:17c272cfe7b07a5bb0c6ad3f234e0c336fb53f3bf17840f66bd77b5815ab3d16"},
{file = "aiohttp-3.10.9-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:0c21c82df33b264216abffff9f8370f303dab65d8eee3767efbbd2734363f677"},
{file = "aiohttp-3.10.9-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:9331dd34145ff105177855017920dde140b447049cd62bb589de320fd6ddd582"},
{file = "aiohttp-3.10.9-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:ac3196952c673822ebed8871cf8802e17254fff2a2ed4835d9c045d9b88c5ec7"},
{file = "aiohttp-3.10.9-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:2c33fa6e10bb7ed262e3ff03cc69d52869514f16558db0626a7c5c61dde3c29f"},
{file = "aiohttp-3.10.9-cp313-cp313-win32.whl", hash = "sha256:a14e4b672c257a6b94fe934ee62666bacbc8e45b7876f9dd9502d0f0fe69db16"},
{file = "aiohttp-3.10.9-cp313-cp313-win_amd64.whl", hash = "sha256:a35ed3d03910785f7d9d6f5381f0c24002b2b888b298e6f941b2fc94c5055fcd"},
{file = "aiohttp-3.10.9-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5f392ef50e22c31fa49b5a46af7f983fa3f118f3eccb8522063bee8bfa6755f8"},
{file = "aiohttp-3.10.9-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d1f5c9169e26db6a61276008582d945405b8316aae2bb198220466e68114a0f5"},
{file = "aiohttp-3.10.9-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8d9d10d10ec27c0d46ddaecc3c5598c4db9ce4e6398ca872cdde0525765caa2f"},
{file = "aiohttp-3.10.9-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d97273a52d7f89a75b11ec386f786d3da7723d7efae3034b4dda79f6f093edc1"},
{file = "aiohttp-3.10.9-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d271f770b52e32236d945911b2082f9318e90ff835d45224fa9e28374303f729"},
{file = "aiohttp-3.10.9-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7003f33f5f7da1eb02f0446b0f8d2ccf57d253ca6c2e7a5732d25889da82b517"},
{file = "aiohttp-3.10.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a6e00c8a92e7663ed2be6fcc08a2997ff06ce73c8080cd0df10cc0321a3168d7"},
{file = "aiohttp-3.10.9-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a61df62966ce6507aafab24e124e0c3a1cfbe23c59732987fc0fd0d71daa0b88"},
{file = "aiohttp-3.10.9-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:60555211a006d26e1a389222e3fab8cd379f28e0fbf7472ee55b16c6c529e3a6"},
{file = "aiohttp-3.10.9-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:d15a29424e96fad56dc2f3abed10a89c50c099f97d2416520c7a543e8fddf066"},
{file = "aiohttp-3.10.9-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:a19caae0d670771ea7854ca30df76f676eb47e0fd9b2ee4392d44708f272122d"},
{file = "aiohttp-3.10.9-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:99f9678bf0e2b1b695e8028fedac24ab6770937932eda695815d5a6618c37e04"},
{file = "aiohttp-3.10.9-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:2914caa46054f3b5ff910468d686742ff8cff54b8a67319d75f5d5945fd0a13d"},
{file = "aiohttp-3.10.9-cp38-cp38-win32.whl", hash = "sha256:0bc059ecbce835630e635879f5f480a742e130d9821fbe3d2f76610a6698ee25"},
{file = "aiohttp-3.10.9-cp38-cp38-win_amd64.whl", hash = "sha256:e883b61b75ca6efc2541fcd52a5c8ccfe288b24d97e20ac08fdf343b8ac672ea"},
{file = "aiohttp-3.10.9-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fcd546782d03181b0b1d20b43d612429a90a68779659ba8045114b867971ab71"},
{file = "aiohttp-3.10.9-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:85711eec2d875cd88c7eb40e734c4ca6d9ae477d6f26bd2b5bb4f7f60e41b156"},
{file = "aiohttp-3.10.9-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:02d1d6610588bcd743fae827bd6f2e47e0d09b346f230824b4c6fb85c6065f9c"},
{file = "aiohttp-3.10.9-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3668d0c2a4d23fb136a753eba42caa2c0abbd3d9c5c87ee150a716a16c6deec1"},
{file = "aiohttp-3.10.9-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d7c071235a47d407b0e93aa6262b49422dbe48d7d8566e1158fecc91043dd948"},
{file = "aiohttp-3.10.9-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ac74e794e3aee92ae8f571bfeaa103a141e409863a100ab63a253b1c53b707eb"},
{file = "aiohttp-3.10.9-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bbf94d4a0447705b7775417ca8bb8086cc5482023a6e17cdc8f96d0b1b5aba6"},
{file = "aiohttp-3.10.9-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cb0b2d5d51f96b6cc19e6ab46a7b684be23240426ae951dcdac9639ab111b45e"},
{file = "aiohttp-3.10.9-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:e83dfefb4f7d285c2d6a07a22268344a97d61579b3e0dce482a5be0251d672ab"},
{file = "aiohttp-3.10.9-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:f0a44bb40b6aaa4fb9a5c1ee07880570ecda2065433a96ccff409c9c20c1624a"},
{file = "aiohttp-3.10.9-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:c2b627d3c8982691b06d89d31093cee158c30629fdfebe705a91814d49b554f8"},
{file = "aiohttp-3.10.9-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:03690541e4cc866eef79626cfa1ef4dd729c5c1408600c8cb9e12e1137eed6ab"},
{file = "aiohttp-3.10.9-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:ad3675c126f2a95bde637d162f8231cff6bc0bc9fbe31bd78075f9ff7921e322"},
{file = "aiohttp-3.10.9-cp39-cp39-win32.whl", hash = "sha256:1321658f12b6caffafdc35cfba6c882cb014af86bef4e78c125e7e794dfb927b"},
{file = "aiohttp-3.10.9-cp39-cp39-win_amd64.whl", hash = "sha256:9fdf5c839bf95fc67be5794c780419edb0dbef776edcfc6c2e5e2ffd5ee755fa"},
{file = "aiohttp-3.10.9.tar.gz", hash = "sha256:143b0026a9dab07a05ad2dd9e46aa859bffdd6348ddc5967b42161168c24f857"},
]
[package.dependencies]
aiohappyeyeballs = ">=2.3.0"
aiosignal = ">=1.1.2"
async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
attrs = ">=17.3.0"
frozenlist = ">=1.1.1"
multidict = ">=4.5,<7.0"
yarl = ">=1.12.0,<2.0"
[package.extras]
speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
[[package]]
name = "aiosignal"
version = "1.3.1"
description = "aiosignal: a list of registered asynchronous callbacks"
optional = false
python-versions = ">=3.7"
files = [
{file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
{file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
]
[package.dependencies]
frozenlist = ">=1.1.0"
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
[[package]]
name = "anyio"
version = "4.6.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.9"
files = [
{file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
{file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
]
[package.dependencies]
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
idna = ">=2.8"
sniffio = ">=1.1"
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras]
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
trio = ["trio (>=0.26.1)"]
[[package]]
name = "async-timeout"
version = "4.0.3"
description = "Timeout context manager for asyncio programs"
optional = false
python-versions = ">=3.7"
files = [
{file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
{file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
]
[[package]]
name = "attrs"
version = "24.2.0"
description = "Classes Without Boilerplate"
optional = false
python-versions = ">=3.7"
files = [
{file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
{file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
]
[package.extras]
benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
[[package]]
name = "certifi"
version = "2024.8.30"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
{file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
]
[[package]]
name = "charset-normalizer"
version = "3.3.2"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7.0"
files = [
{file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"},
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"},
{file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"},
{file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"},
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"},
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"},
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"},
{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"},
{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"},
{file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"},
{file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"},
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"},
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"},
{file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"},
{file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"},
{file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"},
{file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"},
{file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-win32.whl", hash = "sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4"},
{file = "charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99"},
{file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a"},
{file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac"},
{file = "charset_normalizer-3.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2"},
{file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"},
{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"},
{file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"},
{file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"},
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"},
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"},
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"},
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"},
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"},
{file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"},
{file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"},
{file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
]
[[package]]
name = "codespell"
version = "2.3.0"
description = "Codespell"
optional = false
python-versions = ">=3.8"
files = [
{file = "codespell-2.3.0-py3-none-any.whl", hash = "sha256:a9c7cef2501c9cfede2110fd6d4e5e62296920efe9abfb84648df866e47f58d1"},
{file = "codespell-2.3.0.tar.gz", hash = "sha256:360c7d10f75e65f67bad720af7007e1060a5d395670ec11a7ed1fed9dd17471f"},
]
[package.extras]
dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"]
hard-encoding-detection = ["chardet"]
toml = ["tomli"]
types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"]
[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "distro"
version = "1.9.0"
description = "Distro - an OS platform information API"
optional = false
python-versions = ">=3.6"
files = [
{file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
{file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
]
[[package]]
name = "exceptiongroup"
version = "1.2.2"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
{file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
]
[package.extras]
test = ["pytest (>=6)"]
[[package]]
name = "fireworks-ai"
version = "0.15.4"
description = "Python client library for the Fireworks.ai Generative AI Platform"
optional = false
python-versions = ">=3.7"
files = [
{file = "fireworks_ai-0.15.4-py3-none-any.whl", hash = "sha256:fb2e5c6aef53ee4bf489110c3fd838bfc73f0c7f129611771037d0d30cf4f920"},
{file = "fireworks_ai-0.15.4.tar.gz", hash = "sha256:414c6a791257eecd6dc571eb33a86e53dcc3768322aef82a5ac3151b1c2a209f"},
]
[package.dependencies]
httpx = "*"
httpx-sse = "*"
Pillow = "*"
pydantic = "*"
[[package]]
name = "freezegun"
version = "1.5.1"
description = "Let your Python tests travel through time"
optional = false
python-versions = ">=3.7"
files = [
{file = "freezegun-1.5.1-py3-none-any.whl", hash = "sha256:bf111d7138a8abe55ab48a71755673dbaa4ab87f4cff5634a4442dfec34c15f1"},
{file = "freezegun-1.5.1.tar.gz", hash = "sha256:b29dedfcda6d5e8e083ce71b2b542753ad48cfec44037b3fc79702e2980a89e9"},
]
[package.dependencies]
python-dateutil = ">=2.7"
[[package]]
name = "frozenlist"
version = "1.4.1"
description = "A list-like structure which implements collections.abc.MutableSequence"
optional = false
python-versions = ">=3.8"
files = [
{file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
{file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"},
{file = "frozenlist-1.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776"},
{file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a"},
{file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad"},
{file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c"},
{file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe"},
{file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a"},
{file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98"},
{file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75"},
{file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5"},
{file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950"},
{file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc"},
{file = "frozenlist-1.4.1-cp310-cp310-win32.whl", hash = "sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1"},
{file = "frozenlist-1.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439"},
{file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0"},
{file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49"},
{file = "frozenlist-1.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced"},
{file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0"},
{file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106"},
{file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068"},
{file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2"},
{file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19"},
{file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82"},
{file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec"},
{file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a"},
{file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74"},
{file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2"},
{file = "frozenlist-1.4.1-cp311-cp311-win32.whl", hash = "sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17"},
{file = "frozenlist-1.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825"},
{file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae"},
{file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb"},
{file = "frozenlist-1.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b"},
{file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86"},
{file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480"},
{file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09"},
{file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a"},
{file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd"},
{file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6"},
{file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1"},
{file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b"},
{file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e"},
{file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8"},
{file = "frozenlist-1.4.1-cp312-cp312-win32.whl", hash = "sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89"},
{file = "frozenlist-1.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5"},
{file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d"},
{file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826"},
{file = "frozenlist-1.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb"},
{file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6"},
{file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d"},
{file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887"},
{file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a"},
{file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b"},
{file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701"},
{file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0"},
{file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11"},
{file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09"},
{file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7"},
{file = "frozenlist-1.4.1-cp38-cp38-win32.whl", hash = "sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497"},
{file = "frozenlist-1.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09"},
{file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e"},
{file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d"},
{file = "frozenlist-1.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8"},
{file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0"},
{file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b"},
{file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0"},
{file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897"},
{file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7"},
{file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742"},
{file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea"},
{file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5"},
{file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9"},
{file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6"},
{file = "frozenlist-1.4.1-cp39-cp39-win32.whl", hash = "sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932"},
{file = "frozenlist-1.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0"},
{file = "frozenlist-1.4.1-py3-none-any.whl", hash = "sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7"},
{file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
]
[[package]]
name = "h11"
version = "0.14.0"
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
optional = false
python-versions = ">=3.7"
files = [
{file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
]
[[package]]
name = "httpcore"
version = "1.0.6"
description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpcore-1.0.6-py3-none-any.whl", hash = "sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f"},
{file = "httpcore-1.0.6.tar.gz", hash = "sha256:73f6dbd6eb8c21bbf7ef8efad555481853f5f6acdeaff1edb0694289269ee17f"},
]
[package.dependencies]
certifi = "*"
h11 = ">=0.13,<0.15"
[package.extras]
asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
trio = ["trio (>=0.22.0,<1.0)"]
[[package]]
name = "httpx"
version = "0.27.2"
description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
{file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
]
[package.dependencies]
anyio = "*"
certifi = "*"
httpcore = "==1.*"
idna = "*"
sniffio = "*"
[package.extras]
brotli = ["brotli", "brotlicffi"]
cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "httpx-sse"
version = "0.4.0"
description = "Consume Server-Sent Event (SSE) messages with HTTPX."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
{file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
]
[[package]]
name = "idna"
version = "3.10"
description = "Internationalized Domain Names in Applications (IDNA)"
optional = false
python-versions = ">=3.6"
files = [
{file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
{file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
]
[package.extras]
all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
[[package]]
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
optional = false
python-versions = ">=3.7"
files = [
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
[[package]]
name = "jiter"
version = "0.5.0"
description = "Fast iterable JSON parser."
optional = false
python-versions = ">=3.8"
files = [
{file = "jiter-0.5.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b599f4e89b3def9a94091e6ee52e1d7ad7bc33e238ebb9c4c63f211d74822c3f"},
{file = "jiter-0.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2a063f71c4b06225543dddadbe09d203dc0c95ba352d8b85f1221173480a71d5"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:acc0d5b8b3dd12e91dd184b87273f864b363dfabc90ef29a1092d269f18c7e28"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c22541f0b672f4d741382a97c65609332a783501551445ab2df137ada01e019e"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:63314832e302cc10d8dfbda0333a384bf4bcfce80d65fe99b0f3c0da8945a91a"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a25fbd8a5a58061e433d6fae6d5298777c0814a8bcefa1e5ecfff20c594bd749"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:503b2c27d87dfff5ab717a8200fbbcf4714516c9d85558048b1fc14d2de7d8dc"},
{file = "jiter-0.5.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6d1f3d27cce923713933a844872d213d244e09b53ec99b7a7fdf73d543529d6d"},
{file = "jiter-0.5.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c95980207b3998f2c3b3098f357994d3fd7661121f30669ca7cb945f09510a87"},
{file = "jiter-0.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:afa66939d834b0ce063f57d9895e8036ffc41c4bd90e4a99631e5f261d9b518e"},
{file = "jiter-0.5.0-cp310-none-win32.whl", hash = "sha256:f16ca8f10e62f25fd81d5310e852df6649af17824146ca74647a018424ddeccf"},
{file = "jiter-0.5.0-cp310-none-win_amd64.whl", hash = "sha256:b2950e4798e82dd9176935ef6a55cf6a448b5c71515a556da3f6b811a7844f1e"},
{file = "jiter-0.5.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d4c8e1ed0ef31ad29cae5ea16b9e41529eb50a7fba70600008e9f8de6376d553"},
{file = "jiter-0.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c6f16e21276074a12d8421692515b3fd6d2ea9c94fd0734c39a12960a20e85f3"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5280e68e7740c8c128d3ae5ab63335ce6d1fb6603d3b809637b11713487af9e6"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:583c57fc30cc1fec360e66323aadd7fc3edeec01289bfafc35d3b9dcb29495e4"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:26351cc14507bdf466b5f99aba3df3143a59da75799bf64a53a3ad3155ecded9"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4829df14d656b3fb87e50ae8b48253a8851c707da9f30d45aacab2aa2ba2d614"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a42a4bdcf7307b86cb863b2fb9bb55029b422d8f86276a50487982d99eed7c6e"},
{file = "jiter-0.5.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:04d461ad0aebf696f8da13c99bc1b3e06f66ecf6cfd56254cc402f6385231c06"},
{file = "jiter-0.5.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e6375923c5f19888c9226582a124b77b622f8fd0018b843c45eeb19d9701c403"},
{file = "jiter-0.5.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2cec323a853c24fd0472517113768c92ae0be8f8c384ef4441d3632da8baa646"},
{file = "jiter-0.5.0-cp311-none-win32.whl", hash = "sha256:aa1db0967130b5cab63dfe4d6ff547c88b2a394c3410db64744d491df7f069bb"},
{file = "jiter-0.5.0-cp311-none-win_amd64.whl", hash = "sha256:aa9d2b85b2ed7dc7697597dcfaac66e63c1b3028652f751c81c65a9f220899ae"},
{file = "jiter-0.5.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:9f664e7351604f91dcdd557603c57fc0d551bc65cc0a732fdacbf73ad335049a"},
{file = "jiter-0.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:044f2f1148b5248ad2c8c3afb43430dccf676c5a5834d2f5089a4e6c5bbd64df"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:702e3520384c88b6e270c55c772d4bd6d7b150608dcc94dea87ceba1b6391248"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:528d742dcde73fad9d63e8242c036ab4a84389a56e04efd854062b660f559544"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8cf80e5fe6ab582c82f0c3331df27a7e1565e2dcf06265afd5173d809cdbf9ba"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:44dfc9ddfb9b51a5626568ef4e55ada462b7328996294fe4d36de02fce42721f"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c451f7922992751a936b96c5f5b9bb9312243d9b754c34b33d0cb72c84669f4e"},
{file = "jiter-0.5.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:308fce789a2f093dca1ff91ac391f11a9f99c35369117ad5a5c6c4903e1b3e3a"},
{file = "jiter-0.5.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7f5ad4a7c6b0d90776fdefa294f662e8a86871e601309643de30bf94bb93a64e"},
{file = "jiter-0.5.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ea189db75f8eca08807d02ae27929e890c7d47599ce3d0a6a5d41f2419ecf338"},
{file = "jiter-0.5.0-cp312-none-win32.whl", hash = "sha256:e3bbe3910c724b877846186c25fe3c802e105a2c1fc2b57d6688b9f8772026e4"},
{file = "jiter-0.5.0-cp312-none-win_amd64.whl", hash = "sha256:a586832f70c3f1481732919215f36d41c59ca080fa27a65cf23d9490e75b2ef5"},
{file = "jiter-0.5.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:f04bc2fc50dc77be9d10f73fcc4e39346402ffe21726ff41028f36e179b587e6"},
{file = "jiter-0.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6f433a4169ad22fcb550b11179bb2b4fd405de9b982601914ef448390b2954f3"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ad4a6398c85d3a20067e6c69890ca01f68659da94d74c800298581724e426c7e"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6baa88334e7af3f4d7a5c66c3a63808e5efbc3698a1c57626541ddd22f8e4fbf"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ece0a115c05efca597c6d938f88c9357c843f8c245dbbb53361a1c01afd7148"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:335942557162ad372cc367ffaf93217117401bf930483b4b3ebdb1223dbddfa7"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:649b0ee97a6e6da174bffcb3c8c051a5935d7d4f2f52ea1583b5b3e7822fbf14"},
{file = "jiter-0.5.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f4be354c5de82157886ca7f5925dbda369b77344b4b4adf2723079715f823989"},
{file = "jiter-0.5.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5206144578831a6de278a38896864ded4ed96af66e1e63ec5dd7f4a1fce38a3a"},
{file = "jiter-0.5.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8120c60f8121ac3d6f072b97ef0e71770cc72b3c23084c72c4189428b1b1d3b6"},
{file = "jiter-0.5.0-cp38-none-win32.whl", hash = "sha256:6f1223f88b6d76b519cb033a4d3687ca157c272ec5d6015c322fc5b3074d8a5e"},
{file = "jiter-0.5.0-cp38-none-win_amd64.whl", hash = "sha256:c59614b225d9f434ea8fc0d0bec51ef5fa8c83679afedc0433905994fb36d631"},
{file = "jiter-0.5.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:0af3838cfb7e6afee3f00dc66fa24695199e20ba87df26e942820345b0afc566"},
{file = "jiter-0.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:550b11d669600dbc342364fd4adbe987f14d0bbedaf06feb1b983383dcc4b961"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:489875bf1a0ffb3cb38a727b01e6673f0f2e395b2aad3c9387f94187cb214bbf"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b250ca2594f5599ca82ba7e68785a669b352156260c5362ea1b4e04a0f3e2389"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ea18e01f785c6667ca15407cd6dabbe029d77474d53595a189bdc813347218e"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:462a52be85b53cd9bffd94e2d788a09984274fe6cebb893d6287e1c296d50653"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:92cc68b48d50fa472c79c93965e19bd48f40f207cb557a8346daa020d6ba973b"},
{file = "jiter-0.5.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1c834133e59a8521bc87ebcad773608c6fa6ab5c7a022df24a45030826cf10bc"},
{file = "jiter-0.5.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ab3a71ff31cf2d45cb216dc37af522d335211f3a972d2fe14ea99073de6cb104"},
{file = "jiter-0.5.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cccd3af9c48ac500c95e1bcbc498020c87e1781ff0345dd371462d67b76643eb"},
{file = "jiter-0.5.0-cp39-none-win32.whl", hash = "sha256:368084d8d5c4fc40ff7c3cc513c4f73e02c85f6009217922d0823a48ee7adf61"},
{file = "jiter-0.5.0-cp39-none-win_amd64.whl", hash = "sha256:ce03f7b4129eb72f1687fa11300fbf677b02990618428934662406d2a76742a1"},
{file = "jiter-0.5.0.tar.gz", hash = "sha256:1d916ba875bcab5c5f7d927df998c4cb694d27dceddf3392e58beaf10563368a"},
]
[[package]]
name = "jsonpatch"
version = "1.33"
description = "Apply JSON-Patches (RFC 6902)"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
{file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
{file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
]
[package.dependencies]
jsonpointer = ">=1.9"
[[package]]
name = "jsonpointer"
version = "3.0.0"
description = "Identify specific nodes in a JSON document (RFC 6901)"
optional = false
python-versions = ">=3.7"
files = [
{file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
{file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
]
[[package]]
name = "langchain-core"
version = "0.3.19"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.125"
packaging = ">=23.2,<25"
pydantic = [
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = ">=8.1.0,!=8.4.0,<10.0.0"
typing-extensions = ">=4.7"
[package.source]
type = "directory"
url = "../../core"
[[package]]
name = "langchain-tests"
version = "0.3.1"
description = "Standard tests for LangChain implementations"
optional = false
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
httpx = "^0.27.0"
langchain-core = "^0.3.15"
pytest = ">=7,<9"
syrupy = "^4"
[package.source]
type = "directory"
url = "../../standard-tests"
[[package]]
name = "langsmith"
version = "0.1.131"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.131-py3-none-any.whl", hash = "sha256:80c106b1c42307195cc0bb3a596472c41ef91b79d15bcee9938307800336c563"},
{file = "langsmith-0.1.131.tar.gz", hash = "sha256:626101a3bf3ca481e5110d5155ace8aa066e4e9cc2fa7d96c8290ade0fbff797"},
]
[package.dependencies]
httpx = ">=0.23.0,<1"
orjson = ">=3.9.14,<4.0.0"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
requests = ">=2,<3"
requests-toolbelt = ">=1.0.0,<2.0.0"
[[package]]
name = "multidict"
version = "6.1.0"
description = "multidict implementation"
optional = false
python-versions = ">=3.8"
files = [
{file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
{file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
{file = "multidict-6.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a114d03b938376557927ab23f1e950827c3b893ccb94b62fd95d430fd0e5cf53"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1c416351ee6271b2f49b56ad7f308072f6f44b37118d69c2cad94f3fa8a40d5"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6b5d83030255983181005e6cfbac1617ce9746b219bc2aad52201ad121226581"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3e97b5e938051226dc025ec80980c285b053ffb1e25a3db2a3aa3bc046bf7f56"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d618649d4e70ac6efcbba75be98b26ef5078faad23592f9b51ca492953012429"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10524ebd769727ac77ef2278390fb0068d83f3acb7773792a5080f2b0abf7748"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ff3827aef427c89a25cc96ded1759271a93603aba9fb977a6d264648ebf989db"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:06809f4f0f7ab7ea2cabf9caca7d79c22c0758b58a71f9d32943ae13c7ace056"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:f179dee3b863ab1c59580ff60f9d99f632f34ccb38bf67a33ec6b3ecadd0fd76"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:aaed8b0562be4a0876ee3b6946f6869b7bcdb571a5d1496683505944e268b160"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3c8b88a2ccf5493b6c8da9076fb151ba106960a2df90c2633f342f120751a9e7"},
{file = "multidict-6.1.0-cp310-cp310-win32.whl", hash = "sha256:4a9cb68166a34117d6646c0023c7b759bf197bee5ad4272f420a0141d7eb03a0"},
{file = "multidict-6.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:20b9b5fbe0b88d0bdef2012ef7dee867f874b72528cf1d08f1d59b0e3850129d"},
{file = "multidict-6.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3efe2c2cb5763f2f1b275ad2bf7a287d3f7ebbef35648a9726e3b69284a4f3d6"},
{file = "multidict-6.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7053d3b0353a8b9de430a4f4b4268ac9a4fb3481af37dfe49825bf45ca24156"},
{file = "multidict-6.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27e5fc84ccef8dfaabb09d82b7d179c7cf1a3fbc8a966f8274fcb4ab2eb4cadb"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e2b90b43e696f25c62656389d32236e049568b39320e2735d51f08fd362761b"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d83a047959d38a7ff552ff94be767b7fd79b831ad1cd9920662db05fec24fe72"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d1a9dd711d0877a1ece3d2e4fea11a8e75741ca21954c919406b44e7cf971304"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec2abea24d98246b94913b76a125e855eb5c434f7c46546046372fe60f666351"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4867cafcbc6585e4b678876c489b9273b13e9fff9f6d6d66add5e15d11d926cb"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:5b48204e8d955c47c55b72779802b219a39acc3ee3d0116d5080c388970b76e3"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:d8fff389528cad1618fb4b26b95550327495462cd745d879a8c7c2115248e399"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:a7a9541cd308eed5e30318430a9c74d2132e9a8cb46b901326272d780bf2d423"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:da1758c76f50c39a2efd5e9859ce7d776317eb1dd34317c8152ac9251fc574a3"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c943a53e9186688b45b323602298ab727d8865d8c9ee0b17f8d62d14b56f0753"},
{file = "multidict-6.1.0-cp311-cp311-win32.whl", hash = "sha256:90f8717cb649eea3504091e640a1b8568faad18bd4b9fcd692853a04475a4b80"},
{file = "multidict-6.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:82176036e65644a6cc5bd619f65f6f19781e8ec2e5330f51aa9ada7504cc1926"},
{file = "multidict-6.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:b04772ed465fa3cc947db808fa306d79b43e896beb677a56fb2347ca1a49c1fa"},
{file = "multidict-6.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6180c0ae073bddeb5a97a38c03f30c233e0a4d39cd86166251617d1bbd0af436"},
{file = "multidict-6.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:071120490b47aa997cca00666923a83f02c7fbb44f71cf7f136df753f7fa8761"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50b3a2710631848991d0bf7de077502e8994c804bb805aeb2925a981de58ec2e"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b58c621844d55e71c1b7f7c498ce5aa6985d743a1a59034c57a905b3f153c1ef"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55b6d90641869892caa9ca42ff913f7ff1c5ece06474fbd32fb2cf6834726c95"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b820514bfc0b98a30e3d85462084779900347e4d49267f747ff54060cc33925"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10a9b09aba0c5b48c53761b7c720aaaf7cf236d5fe394cd399c7ba662d5f9966"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1e16bf3e5fc9f44632affb159d30a437bfe286ce9e02754759be5536b169b305"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:76f364861c3bfc98cbbcbd402d83454ed9e01a5224bb3a28bf70002a230f73e2"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:820c661588bd01a0aa62a1283f20d2be4281b086f80dad9e955e690c75fb54a2"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:0e5f362e895bc5b9e67fe6e4ded2492d8124bdf817827f33c5b46c2fe3ffaca6"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3ec660d19bbc671e3a6443325f07263be452c453ac9e512f5eb935e7d4ac28b3"},
{file = "multidict-6.1.0-cp312-cp312-win32.whl", hash = "sha256:58130ecf8f7b8112cdb841486404f1282b9c86ccb30d3519faf301b2e5659133"},
{file = "multidict-6.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:188215fc0aafb8e03341995e7c4797860181562380f81ed0a87ff455b70bf1f1"},
{file = "multidict-6.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:d569388c381b24671589335a3be6e1d45546c2988c2ebe30fdcada8457a31008"},
{file = "multidict-6.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:052e10d2d37810b99cc170b785945421141bf7bb7d2f8799d431e7db229c385f"},
{file = "multidict-6.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f90c822a402cb865e396a504f9fc8173ef34212a342d92e362ca498cad308e28"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b225d95519a5bf73860323e633a664b0d85ad3d5bede6d30d95b35d4dfe8805b"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:23bfd518810af7de1116313ebd9092cb9aa629beb12f6ed631ad53356ed6b86c"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c09fcfdccdd0b57867577b719c69e347a436b86cd83747f179dbf0cc0d4c1f3"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf6bea52ec97e95560af5ae576bdac3aa3aae0b6758c6efa115236d9e07dae44"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57feec87371dbb3520da6192213c7d6fc892d5589a93db548331954de8248fd2"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0c3f390dc53279cbc8ba976e5f8035eab997829066756d811616b652b00a23a3"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:59bfeae4b25ec05b34f1956eaa1cb38032282cd4dfabc5056d0a1ec4d696d3aa"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:b2f59caeaf7632cc633b5cf6fc449372b83bbdf0da4ae04d5be36118e46cc0aa"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:37bb93b2178e02b7b618893990941900fd25b6b9ac0fa49931a40aecdf083fe4"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4e9f48f58c2c523d5a06faea47866cd35b32655c46b443f163d08c6d0ddb17d6"},
{file = "multidict-6.1.0-cp313-cp313-win32.whl", hash = "sha256:3a37ffb35399029b45c6cc33640a92bef403c9fd388acce75cdc88f58bd19a81"},
{file = "multidict-6.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:e9aa71e15d9d9beaad2c6b9319edcdc0a49a43ef5c0a4c8265ca9ee7d6c67774"},
{file = "multidict-6.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:db7457bac39421addd0c8449933ac32d8042aae84a14911a757ae6ca3eef1392"},
{file = "multidict-6.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d094ddec350a2fb899fec68d8353c78233debde9b7d8b4beeafa70825f1c281a"},
{file = "multidict-6.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5845c1fd4866bb5dd3125d89b90e57ed3138241540897de748cdf19de8a2fca2"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9079dfc6a70abe341f521f78405b8949f96db48da98aeb43f9907f342f627cdc"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3914f5aaa0f36d5d60e8ece6a308ee1c9784cd75ec8151062614657a114c4478"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c08be4f460903e5a9d0f76818db3250f12e9c344e79314d1d570fc69d7f4eae4"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d093be959277cb7dee84b801eb1af388b6ad3ca6a6b6bf1ed7585895789d027d"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3702ea6872c5a2a4eeefa6ffd36b042e9773f05b1f37ae3ef7264b1163c2dcf6"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:2090f6a85cafc5b2db085124d752757c9d251548cedabe9bd31afe6363e0aff2"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:f67f217af4b1ff66c68a87318012de788dd95fcfeb24cc889011f4e1c7454dfd"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:189f652a87e876098bbc67b4da1049afb5f5dfbaa310dd67c594b01c10388db6"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:6bb5992037f7a9eff7991ebe4273ea7f51f1c1c511e6a2ce511d0e7bdb754492"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:ac10f4c2b9e770c4e393876e35a7046879d195cd123b4f116d299d442b335bcd"},
{file = "multidict-6.1.0-cp38-cp38-win32.whl", hash = "sha256:e27bbb6d14416713a8bd7aaa1313c0fc8d44ee48d74497a0ff4c3a1b6ccb5167"},
{file = "multidict-6.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:22f3105d4fb15c8f57ff3959a58fcab6ce36814486500cd7485651230ad4d4ef"},
{file = "multidict-6.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:4e18b656c5e844539d506a0a06432274d7bd52a7487e6828c63a63d69185626c"},
{file = "multidict-6.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a185f876e69897a6f3325c3f19f26a297fa058c5e456bfcff8015e9a27e83ae1"},
{file = "multidict-6.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ab7c4ceb38d91570a650dba194e1ca87c2b543488fe9309b4212694174fd539c"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e617fb6b0b6953fffd762669610c1c4ffd05632c138d61ac7e14ad187870669c"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:16e5f4bf4e603eb1fdd5d8180f1a25f30056f22e55ce51fb3d6ad4ab29f7d96f"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f4c035da3f544b1882bac24115f3e2e8760f10a0107614fc9839fd232200b875"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:957cf8e4b6e123a9eea554fa7ebc85674674b713551de587eb318a2df3e00255"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:483a6aea59cb89904e1ceabd2b47368b5600fb7de78a6e4a2c2987b2d256cf30"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:87701f25a2352e5bf7454caa64757642734da9f6b11384c1f9d1a8e699758057"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:682b987361e5fd7a139ed565e30d81fd81e9629acc7d925a205366877d8c8657"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ce2186a7df133a9c895dea3331ddc5ddad42cdd0d1ea2f0a51e5d161e4762f28"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:9f636b730f7e8cb19feb87094949ba54ee5357440b9658b2a32a5ce4bce53972"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:73eae06aa53af2ea5270cc066dcaf02cc60d2994bbb2c4ef5764949257d10f43"},
{file = "multidict-6.1.0-cp39-cp39-win32.whl", hash = "sha256:1ca0083e80e791cffc6efce7660ad24af66c8d4079d2a750b29001b53ff59ada"},
{file = "multidict-6.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:aa466da5b15ccea564bdab9c89175c762bc12825f4659c11227f515cee76fa4a"},
{file = "multidict-6.1.0-py3-none-any.whl", hash = "sha256:48e171e52d1c4d33888e529b999e5900356b9ae588c2f09a52dcefb158b27506"},
{file = "multidict-6.1.0.tar.gz", hash = "sha256:22ae2ebf9b0c69d206c003e2f6a914ea33f0a932d4aa16f236afc049d9958f4a"},
]
[package.dependencies]
typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
[[package]]
name = "mypy"
version = "1.11.2"
description = "Optional static typing for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "mypy-1.11.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d42a6dd818ffce7be66cce644f1dff482f1d97c53ca70908dff0b9ddc120b77a"},
{file = "mypy-1.11.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:801780c56d1cdb896eacd5619a83e427ce436d86a3bdf9112527f24a66618fef"},
{file = "mypy-1.11.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:41ea707d036a5307ac674ea172875f40c9d55c5394f888b168033177fce47383"},
{file = "mypy-1.11.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6e658bd2d20565ea86da7d91331b0eed6d2eee22dc031579e6297f3e12c758c8"},
{file = "mypy-1.11.2-cp310-cp310-win_amd64.whl", hash = "sha256:478db5f5036817fe45adb7332d927daa62417159d49783041338921dcf646fc7"},
{file = "mypy-1.11.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:75746e06d5fa1e91bfd5432448d00d34593b52e7e91a187d981d08d1f33d4385"},
{file = "mypy-1.11.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a976775ab2256aadc6add633d44f100a2517d2388906ec4f13231fafbb0eccca"},
{file = "mypy-1.11.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:cd953f221ac1379050a8a646585a29574488974f79d8082cedef62744f0a0104"},
{file = "mypy-1.11.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:57555a7715c0a34421013144a33d280e73c08df70f3a18a552938587ce9274f4"},
{file = "mypy-1.11.2-cp311-cp311-win_amd64.whl", hash = "sha256:36383a4fcbad95f2657642a07ba22ff797de26277158f1cc7bd234821468b1b6"},
{file = "mypy-1.11.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e8960dbbbf36906c5c0b7f4fbf2f0c7ffb20f4898e6a879fcf56a41a08b0d318"},
{file = "mypy-1.11.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:06d26c277962f3fb50e13044674aa10553981ae514288cb7d0a738f495550b36"},
{file = "mypy-1.11.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6e7184632d89d677973a14d00ae4d03214c8bc301ceefcdaf5c474866814c987"},
{file = "mypy-1.11.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3a66169b92452f72117e2da3a576087025449018afc2d8e9bfe5ffab865709ca"},
{file = "mypy-1.11.2-cp312-cp312-win_amd64.whl", hash = "sha256:969ea3ef09617aff826885a22ece0ddef69d95852cdad2f60c8bb06bf1f71f70"},
{file = "mypy-1.11.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:37c7fa6121c1cdfcaac97ce3d3b5588e847aa79b580c1e922bb5d5d2902df19b"},
{file = "mypy-1.11.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4a8a53bc3ffbd161b5b2a4fff2f0f1e23a33b0168f1c0778ec70e1a3d66deb86"},
{file = "mypy-1.11.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2ff93107f01968ed834f4256bc1fc4475e2fecf6c661260066a985b52741ddce"},
{file = "mypy-1.11.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:edb91dded4df17eae4537668b23f0ff6baf3707683734b6a818d5b9d0c0c31a1"},
{file = "mypy-1.11.2-cp38-cp38-win_amd64.whl", hash = "sha256:ee23de8530d99b6db0573c4ef4bd8f39a2a6f9b60655bf7a1357e585a3486f2b"},
{file = "mypy-1.11.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:801ca29f43d5acce85f8e999b1e431fb479cb02d0e11deb7d2abb56bdaf24fd6"},
{file = "mypy-1.11.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:af8d155170fcf87a2afb55b35dc1a0ac21df4431e7d96717621962e4b9192e70"},
{file = "mypy-1.11.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f7821776e5c4286b6a13138cc935e2e9b6fde05e081bdebf5cdb2bb97c9df81d"},
{file = "mypy-1.11.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:539c570477a96a4e6fb718b8d5c3e0c0eba1f485df13f86d2970c91f0673148d"},
{file = "mypy-1.11.2-cp39-cp39-win_amd64.whl", hash = "sha256:3f14cd3d386ac4d05c5a39a51b84387403dadbd936e17cb35882134d4f8f0d24"},
{file = "mypy-1.11.2-py3-none-any.whl", hash = "sha256:b499bc07dbdcd3de92b0a8b29fdf592c111276f6a12fe29c30f6c417dd546d12"},
{file = "mypy-1.11.2.tar.gz", hash = "sha256:7f9993ad3e0ffdc95c2a14b66dee63729f021968bff8ad911867579c65d13a79"},
]
[package.dependencies]
mypy-extensions = ">=1.0.0"
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
typing-extensions = ">=4.6.0"
[package.extras]
dmypy = ["psutil (>=4.0)"]
install-types = ["pip"]
mypyc = ["setuptools (>=50)"]
reports = ["lxml"]
[[package]]
name = "mypy-extensions"
version = "1.0.0"
description = "Type system extensions for programs checked with the mypy type checker."
optional = false
python-versions = ">=3.5"
files = [
{file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
]
[[package]]
name = "openai"
version = "1.51.0"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
{file = "openai-1.51.0-py3-none-any.whl", hash = "sha256:d9affafb7e51e5a27dce78589d4964ce4d6f6d560307265933a94b2e3f3c5d2c"},
{file = "openai-1.51.0.tar.gz", hash = "sha256:8dc4f9d75ccdd5466fc8c99a952186eddceb9fd6ba694044773f3736a847149d"},
]
[package.dependencies]
anyio = ">=3.5.0,<5"
distro = ">=1.7.0,<2"
httpx = ">=0.23.0,<1"
jiter = ">=0.4.0,<1"
pydantic = ">=1.9.0,<3"
sniffio = "*"
tqdm = ">4"
typing-extensions = ">=4.11,<5"
[package.extras]
datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
[[package]]
name = "orjson"
version = "3.10.7"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
python-versions = ">=3.8"
files = [
{file = "orjson-3.10.7-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:74f4544f5a6405b90da8ea724d15ac9c36da4d72a738c64685003337401f5c12"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:34a566f22c28222b08875b18b0dfbf8a947e69df21a9ed5c51a6bf91cfb944ac"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bf6ba8ebc8ef5792e2337fb0419f8009729335bb400ece005606336b7fd7bab7"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac7cf6222b29fbda9e3a472b41e6a5538b48f2c8f99261eecd60aafbdb60690c"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de817e2f5fc75a9e7dd350c4b0f54617b280e26d1631811a43e7e968fa71e3e9"},
{file = "orjson-3.10.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:348bdd16b32556cf8d7257b17cf2bdb7ab7976af4af41ebe79f9796c218f7e91"},
{file = "orjson-3.10.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:479fd0844ddc3ca77e0fd99644c7fe2de8e8be1efcd57705b5c92e5186e8a250"},
{file = "orjson-3.10.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:fdf5197a21dd660cf19dfd2a3ce79574588f8f5e2dbf21bda9ee2d2b46924d84"},
{file = "orjson-3.10.7-cp310-none-win32.whl", hash = "sha256:d374d36726746c81a49f3ff8daa2898dccab6596864ebe43d50733275c629175"},
{file = "orjson-3.10.7-cp310-none-win_amd64.whl", hash = "sha256:cb61938aec8b0ffb6eef484d480188a1777e67b05d58e41b435c74b9d84e0b9c"},
{file = "orjson-3.10.7-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:7db8539039698ddfb9a524b4dd19508256107568cdad24f3682d5773e60504a2"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:480f455222cb7a1dea35c57a67578848537d2602b46c464472c995297117fa09"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:8a9c9b168b3a19e37fe2778c0003359f07822c90fdff8f98d9d2a91b3144d8e0"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8de062de550f63185e4c1c54151bdddfc5625e37daf0aa1e75d2a1293e3b7d9a"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6b0dd04483499d1de9c8f6203f8975caf17a6000b9c0c54630cef02e44ee624e"},
{file = "orjson-3.10.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b58d3795dafa334fc8fd46f7c5dc013e6ad06fd5b9a4cc98cb1456e7d3558bd6"},
{file = "orjson-3.10.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:33cfb96c24034a878d83d1a9415799a73dc77480e6c40417e5dda0710d559ee6"},
{file = "orjson-3.10.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e724cebe1fadc2b23c6f7415bad5ee6239e00a69f30ee423f319c6af70e2a5c0"},
{file = "orjson-3.10.7-cp311-none-win32.whl", hash = "sha256:82763b46053727a7168d29c772ed5c870fdae2f61aa8a25994c7984a19b1021f"},
{file = "orjson-3.10.7-cp311-none-win_amd64.whl", hash = "sha256:eb8d384a24778abf29afb8e41d68fdd9a156cf6e5390c04cc07bbc24b89e98b5"},
{file = "orjson-3.10.7-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:44a96f2d4c3af51bfac6bc4ef7b182aa33f2f054fd7f34cc0ee9a320d051d41f"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76ac14cd57df0572453543f8f2575e2d01ae9e790c21f57627803f5e79b0d3c3"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bdbb61dcc365dd9be94e8f7df91975edc9364d6a78c8f7adb69c1cdff318ec93"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b48b3db6bb6e0a08fa8c83b47bc169623f801e5cc4f24442ab2b6617da3b5313"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:23820a1563a1d386414fef15c249040042b8e5d07b40ab3fe3efbfbbcbcb8864"},
{file = "orjson-3.10.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0c6a008e91d10a2564edbb6ee5069a9e66df3fbe11c9a005cb411f441fd2c09"},
{file = "orjson-3.10.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d352ee8ac1926d6193f602cbe36b1643bbd1bbcb25e3c1a657a4390f3000c9a5"},
{file = "orjson-3.10.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d2d9f990623f15c0ae7ac608103c33dfe1486d2ed974ac3f40b693bad1a22a7b"},
{file = "orjson-3.10.7-cp312-none-win32.whl", hash = "sha256:7c4c17f8157bd520cdb7195f75ddbd31671997cbe10aee559c2d613592e7d7eb"},
{file = "orjson-3.10.7-cp312-none-win_amd64.whl", hash = "sha256:1d9c0e733e02ada3ed6098a10a8ee0052dd55774de3d9110d29868d24b17faa1"},
{file = "orjson-3.10.7-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:77d325ed866876c0fa6492598ec01fe30e803272a6e8b10e992288b009cbe149"},
{file = "orjson-3.10.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ea2c232deedcb605e853ae1db2cc94f7390ac776743b699b50b071b02bea6fe"},
{file = "orjson-3.10.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:3dcfbede6737fdbef3ce9c37af3fb6142e8e1ebc10336daa05872bfb1d87839c"},
{file = "orjson-3.10.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:11748c135f281203f4ee695b7f80bb1358a82a63905f9f0b794769483ea854ad"},
{file = "orjson-3.10.7-cp313-none-win32.whl", hash = "sha256:a7e19150d215c7a13f39eb787d84db274298d3f83d85463e61d277bbd7f401d2"},
{file = "orjson-3.10.7-cp313-none-win_amd64.whl", hash = "sha256:eef44224729e9525d5261cc8d28d6b11cafc90e6bd0be2157bde69a52ec83024"},
{file = "orjson-3.10.7-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6ea2b2258eff652c82652d5e0f02bd5e0463a6a52abb78e49ac288827aaa1469"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:430ee4d85841e1483d487e7b81401785a5dfd69db5de01314538f31f8fbf7ee1"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4b6146e439af4c2472c56f8540d799a67a81226e11992008cb47e1267a9b3225"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:084e537806b458911137f76097e53ce7bf5806dda33ddf6aaa66a028f8d43a23"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4829cf2195838e3f93b70fd3b4292156fc5e097aac3739859ac0dcc722b27ac0"},
{file = "orjson-3.10.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1193b2416cbad1a769f868b1749535d5da47626ac29445803dae7cc64b3f5c98"},
{file = "orjson-3.10.7-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:4e6c3da13e5a57e4b3dca2de059f243ebec705857522f188f0180ae88badd354"},
{file = "orjson-3.10.7-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c31008598424dfbe52ce8c5b47e0752dca918a4fdc4a2a32004efd9fab41d866"},
{file = "orjson-3.10.7-cp38-none-win32.whl", hash = "sha256:7122a99831f9e7fe977dc45784d3b2edc821c172d545e6420c375e5a935f5a1c"},
{file = "orjson-3.10.7-cp38-none-win_amd64.whl", hash = "sha256:a763bc0e58504cc803739e7df040685816145a6f3c8a589787084b54ebc9f16e"},
{file = "orjson-3.10.7-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:e76be12658a6fa376fcd331b1ea4e58f5a06fd0220653450f0d415b8fd0fbe20"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ed350d6978d28b92939bfeb1a0570c523f6170efc3f0a0ef1f1df287cd4f4960"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:144888c76f8520e39bfa121b31fd637e18d4cc2f115727865fdf9fa325b10412"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:09b2d92fd95ad2402188cf51573acde57eb269eddabaa60f69ea0d733e789fe9"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5b24a579123fa884f3a3caadaed7b75eb5715ee2b17ab5c66ac97d29b18fe57f"},
{file = "orjson-3.10.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e72591bcfe7512353bd609875ab38050efe3d55e18934e2f18950c108334b4ff"},
{file = "orjson-3.10.7-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:f4db56635b58cd1a200b0a23744ff44206ee6aa428185e2b6c4a65b3197abdcd"},
{file = "orjson-3.10.7-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:0fa5886854673222618638c6df7718ea7fe2f3f2384c452c9ccedc70b4a510a5"},
{file = "orjson-3.10.7-cp39-none-win32.whl", hash = "sha256:8272527d08450ab16eb405f47e0f4ef0e5ff5981c3d82afe0efd25dcbef2bcd2"},
{file = "orjson-3.10.7-cp39-none-win_amd64.whl", hash = "sha256:974683d4618c0c7dbf4f69c95a979734bf183d0658611760017f6e70a145af58"},
{file = "orjson-3.10.7.tar.gz", hash = "sha256:75ef0640403f945f3a1f9f6400686560dbfb0fb5b16589ad62cd477043c4eee3"},
]
[[package]]
name = "packaging"
version = "24.1"
description = "Core utilities for Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
{file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
]
[[package]]
name = "pillow"
version = "10.4.0"
description = "Python Imaging Library (Fork)"
optional = false
python-versions = ">=3.8"
files = [
{file = "pillow-10.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:4d9667937cfa347525b319ae34375c37b9ee6b525440f3ef48542fcf66f2731e"},
{file = "pillow-10.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:543f3dc61c18dafb755773efc89aae60d06b6596a63914107f75459cf984164d"},
{file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7928ecbf1ece13956b95d9cbcfc77137652b02763ba384d9ab508099a2eca856"},
{file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d49b85c4348ea0b31ea63bc75a9f3857869174e2bf17e7aba02945cd218e6f"},
{file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6c762a5b0997f5659a5ef2266abc1d8851ad7749ad9a6a5506eb23d314e4f46b"},
{file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a985e028fc183bf12a77a8bbf36318db4238a3ded7fa9df1b9a133f1cb79f8fc"},
{file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:812f7342b0eee081eaec84d91423d1b4650bb9828eb53d8511bcef8ce5aecf1e"},
{file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ac1452d2fbe4978c2eec89fb5a23b8387aba707ac72810d9490118817d9c0b46"},
{file = "pillow-10.4.0-cp310-cp310-win32.whl", hash = "sha256:bcd5e41a859bf2e84fdc42f4edb7d9aba0a13d29a2abadccafad99de3feff984"},
{file = "pillow-10.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:ecd85a8d3e79cd7158dec1c9e5808e821feea088e2f69a974db5edf84dc53141"},
{file = "pillow-10.4.0-cp310-cp310-win_arm64.whl", hash = "sha256:ff337c552345e95702c5fde3158acb0625111017d0e5f24bf3acdb9cc16b90d1"},
{file = "pillow-10.4.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:0a9ec697746f268507404647e531e92889890a087e03681a3606d9b920fbee3c"},
{file = "pillow-10.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe91cb65544a1321e631e696759491ae04a2ea11d36715eca01ce07284738be"},
{file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5dc6761a6efc781e6a1544206f22c80c3af4c8cf461206d46a1e6006e4429ff3"},
{file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e84b6cc6a4a3d76c153a6b19270b3526a5a8ed6b09501d3af891daa2a9de7d6"},
{file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:bbc527b519bd3aa9d7f429d152fea69f9ad37c95f0b02aebddff592688998abe"},
{file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:76a911dfe51a36041f2e756b00f96ed84677cdeb75d25c767f296c1c1eda1319"},
{file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59291fb29317122398786c2d44427bbd1a6d7ff54017075b22be9d21aa59bd8d"},
{file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:416d3a5d0e8cfe4f27f574362435bc9bae57f679a7158e0096ad2beb427b8696"},
{file = "pillow-10.4.0-cp311-cp311-win32.whl", hash = "sha256:7086cc1d5eebb91ad24ded9f58bec6c688e9f0ed7eb3dbbf1e4800280a896496"},
{file = "pillow-10.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cbed61494057c0f83b83eb3a310f0bf774b09513307c434d4366ed64f4128a91"},
{file = "pillow-10.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:f5f0c3e969c8f12dd2bb7e0b15d5c468b51e5017e01e2e867335c81903046a22"},
{file = "pillow-10.4.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:673655af3eadf4df6b5457033f086e90299fdd7a47983a13827acf7459c15d94"},
{file = "pillow-10.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:866b6942a92f56300012f5fbac71f2d610312ee65e22f1aa2609e491284e5597"},
{file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29dbdc4207642ea6aad70fbde1a9338753d33fb23ed6956e706936706f52dd80"},
{file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf2342ac639c4cf38799a44950bbc2dfcb685f052b9e262f446482afaf4bffca"},
{file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f5b92f4d70791b4a67157321c4e8225d60b119c5cc9aee8ecf153aace4aad4ef"},
{file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:86dcb5a1eb778d8b25659d5e4341269e8590ad6b4e8b44d9f4b07f8d136c414a"},
{file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:780c072c2e11c9b2c7ca37f9a2ee8ba66f44367ac3e5c7832afcfe5104fd6d1b"},
{file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:37fb69d905be665f68f28a8bba3c6d3223c8efe1edf14cc4cfa06c241f8c81d9"},
{file = "pillow-10.4.0-cp312-cp312-win32.whl", hash = "sha256:7dfecdbad5c301d7b5bde160150b4db4c659cee2b69589705b6f8a0c509d9f42"},
{file = "pillow-10.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:1d846aea995ad352d4bdcc847535bd56e0fd88d36829d2c90be880ef1ee4668a"},
{file = "pillow-10.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:e553cad5179a66ba15bb18b353a19020e73a7921296a7979c4a2b7f6a5cd57f9"},
{file = "pillow-10.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8bc1a764ed8c957a2e9cacf97c8b2b053b70307cf2996aafd70e91a082e70df3"},
{file = "pillow-10.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6209bb41dc692ddfee4942517c19ee81b86c864b626dbfca272ec0f7cff5d9fb"},
{file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bee197b30783295d2eb680b311af15a20a8b24024a19c3a26431ff83eb8d1f70"},
{file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ef61f5dd14c300786318482456481463b9d6b91ebe5ef12f405afbba77ed0be"},
{file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:297e388da6e248c98bc4a02e018966af0c5f92dfacf5a5ca22fa01cb3179bca0"},
{file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:e4db64794ccdf6cb83a59d73405f63adbe2a1887012e308828596100a0b2f6cc"},
{file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bd2880a07482090a3bcb01f4265f1936a903d70bc740bfcb1fd4e8a2ffe5cf5a"},
{file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4b35b21b819ac1dbd1233317adeecd63495f6babf21b7b2512d244ff6c6ce309"},
{file = "pillow-10.4.0-cp313-cp313-win32.whl", hash = "sha256:551d3fd6e9dc15e4c1eb6fc4ba2b39c0c7933fa113b220057a34f4bb3268a060"},
{file = "pillow-10.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:030abdbe43ee02e0de642aee345efa443740aa4d828bfe8e2eb11922ea6a21ea"},
{file = "pillow-10.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:5b001114dd152cfd6b23befeb28d7aee43553e2402c9f159807bf55f33af8a8d"},
{file = "pillow-10.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8d4d5063501b6dd4024b8ac2f04962d661222d120381272deea52e3fc52d3736"},
{file = "pillow-10.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7c1ee6f42250df403c5f103cbd2768a28fe1a0ea1f0f03fe151c8741e1469c8b"},
{file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b15e02e9bb4c21e39876698abf233c8c579127986f8207200bc8a8f6bb27acf2"},
{file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a8d4bade9952ea9a77d0c3e49cbd8b2890a399422258a77f357b9cc9be8d680"},
{file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:43efea75eb06b95d1631cb784aa40156177bf9dd5b4b03ff38979e048258bc6b"},
{file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:950be4d8ba92aca4b2bb0741285a46bfae3ca699ef913ec8416c1b78eadd64cd"},
{file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d7480af14364494365e89d6fddc510a13e5a2c3584cb19ef65415ca57252fb84"},
{file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:73664fe514b34c8f02452ffb73b7a92c6774e39a647087f83d67f010eb9a0cf0"},
{file = "pillow-10.4.0-cp38-cp38-win32.whl", hash = "sha256:e88d5e6ad0d026fba7bdab8c3f225a69f063f116462c49892b0149e21b6c0a0e"},
{file = "pillow-10.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:5161eef006d335e46895297f642341111945e2c1c899eb406882a6c61a4357ab"},
{file = "pillow-10.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:0ae24a547e8b711ccaaf99c9ae3cd975470e1a30caa80a6aaee9a2f19c05701d"},
{file = "pillow-10.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:298478fe4f77a4408895605f3482b6cc6222c018b2ce565c2b6b9c354ac3229b"},
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:134ace6dc392116566980ee7436477d844520a26a4b1bd4053f6f47d096997fd"},
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930044bb7679ab003b14023138b50181899da3f25de50e9dbee23b61b4de2126"},
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:c76e5786951e72ed3686e122d14c5d7012f16c8303a674d18cdcd6d89557fc5b"},
{file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b2724fdb354a868ddf9a880cb84d102da914e99119211ef7ecbdc613b8c96b3c"},
{file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dbc6ae66518ab3c5847659e9988c3b60dc94ffb48ef9168656e0019a93dbf8a1"},
{file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:06b2f7898047ae93fad74467ec3d28fe84f7831370e3c258afa533f81ef7f3df"},
{file = "pillow-10.4.0-cp39-cp39-win32.whl", hash = "sha256:7970285ab628a3779aecc35823296a7869f889b8329c16ad5a71e4901a3dc4ef"},
{file = "pillow-10.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:961a7293b2457b405967af9c77dcaa43cc1a8cd50d23c532e62d48ab6cdd56f5"},
{file = "pillow-10.4.0-cp39-cp39-win_arm64.whl", hash = "sha256:32cda9e3d601a52baccb2856b8ea1fc213c90b340c542dcef77140dfa3278a9e"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5b4815f2e65b30f5fbae9dfffa8636d992d49705723fe86a3661806e069352d4"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8f0aef4ef59694b12cadee839e2ba6afeab89c0f39a3adc02ed51d109117b8da"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f4727572e2918acaa9077c919cbbeb73bd2b3ebcfe033b72f858fc9fbef0026"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff25afb18123cea58a591ea0244b92eb1e61a1fd497bf6d6384f09bc3262ec3e"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dc3e2db6ba09ffd7d02ae9141cfa0ae23393ee7687248d46a7507b75d610f4f5"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885"},
{file = "pillow-10.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0755ffd4a0c6f267cccbae2e9903d95477ca2f77c4fcf3a3a09570001856c8a5"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"},
{file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"},
{file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
]
[package.extras]
docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
fpx = ["olefile"]
mic = ["olefile"]
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
typing = ["typing-extensions"]
xmp = ["defusedxml"]
[[package]]
name = "pluggy"
version = "1.5.0"
description = "plugin and hook calling mechanisms for python"
optional = false
python-versions = ">=3.8"
files = [
{file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
{file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
]
[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pydantic"
version = "2.9.2"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12"},
{file = "pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f"},
]
[package.dependencies]
annotated-types = ">=0.6.0"
pydantic-core = "2.23.4"
typing-extensions = [
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
]
[package.extras]
email = ["email-validator (>=2.0.0)"]
timezone = ["tzdata"]
[[package]]
name = "pydantic-core"
version = "2.23.4"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
{file = "pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f"},
{file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3"},
{file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071"},
{file = "pydantic_core-2.23.4-cp310-none-win32.whl", hash = "sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119"},
{file = "pydantic_core-2.23.4-cp310-none-win_amd64.whl", hash = "sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f"},
{file = "pydantic_core-2.23.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8"},
{file = "pydantic_core-2.23.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b"},
{file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0"},
{file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64"},
{file = "pydantic_core-2.23.4-cp311-none-win32.whl", hash = "sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f"},
{file = "pydantic_core-2.23.4-cp311-none-win_amd64.whl", hash = "sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3"},
{file = "pydantic_core-2.23.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231"},
{file = "pydantic_core-2.23.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126"},
{file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e"},
{file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24"},
{file = "pydantic_core-2.23.4-cp312-none-win32.whl", hash = "sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84"},
{file = "pydantic_core-2.23.4-cp312-none-win_amd64.whl", hash = "sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9"},
{file = "pydantic_core-2.23.4-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc"},
{file = "pydantic_core-2.23.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327"},
{file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6"},
{file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f"},
{file = "pydantic_core-2.23.4-cp313-none-win32.whl", hash = "sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769"},
{file = "pydantic_core-2.23.4-cp313-none-win_amd64.whl", hash = "sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5"},
{file = "pydantic_core-2.23.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555"},
{file = "pydantic_core-2.23.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12"},
{file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2"},
{file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb"},
{file = "pydantic_core-2.23.4-cp38-none-win32.whl", hash = "sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6"},
{file = "pydantic_core-2.23.4-cp38-none-win_amd64.whl", hash = "sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556"},
{file = "pydantic_core-2.23.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a"},
{file = "pydantic_core-2.23.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55"},
{file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040"},
{file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605"},
{file = "pydantic_core-2.23.4-cp39-none-win32.whl", hash = "sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6"},
{file = "pydantic_core-2.23.4-cp39-none-win_amd64.whl", hash = "sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e"},
{file = "pydantic_core-2.23.4.tar.gz", hash = "sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863"},
]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pytest"
version = "7.4.4"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
{file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
iniconfig = "*"
packaging = "*"
pluggy = ">=0.12,<2.0"
tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
[package.extras]
testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "pytest-asyncio"
version = "0.21.2"
description = "Pytest support for asyncio"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
{file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
]
[package.dependencies]
pytest = ">=7.0.0"
[package.extras]
docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
[[package]]
name = "pytest-mock"
version = "3.14.0"
description = "Thin-wrapper around the mock package for easier use with pytest"
optional = false
python-versions = ">=3.8"
files = [
{file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
{file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
]
[package.dependencies]
pytest = ">=6.2.5"
[package.extras]
dev = ["pre-commit", "pytest-asyncio", "tox"]
[[package]]
name = "pytest-watcher"
version = "0.3.5"
description = "Automatically rerun your tests on file modifications"
optional = false
python-versions = ">=3.7.0,<4.0.0"
files = [
{file = "pytest_watcher-0.3.5-py3-none-any.whl", hash = "sha256:af00ca52c7be22dc34c0fd3d7ffef99057207a73b05dc5161fe3b2fe91f58130"},
{file = "pytest_watcher-0.3.5.tar.gz", hash = "sha256:8896152460ba2b1a8200c12117c6611008ec96c8b2d811f0a05ab8a82b043ff8"},
]
[package.dependencies]
tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version < \"3.11\""}
watchdog = ">=2.0.0"
[[package]]
name = "python-dateutil"
version = "2.9.0.post0"
description = "Extensions to the standard Python datetime module"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
{file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
{file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
]
[package.dependencies]
six = ">=1.5"
[[package]]
name = "pyyaml"
version = "6.0.2"
description = "YAML parser and emitter for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
{file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"},
{file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"},
{file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"},
{file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"},
{file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"},
{file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"},
{file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"},
{file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"},
{file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"},
{file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"},
{file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"},
{file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"},
{file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"},
{file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"},
{file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"},
{file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
]
[[package]]
name = "requests"
version = "2.32.3"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
files = [
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
]
[package.dependencies]
certifi = ">=2017.4.17"
charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<3"
[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "requests-toolbelt"
version = "1.0.0"
description = "A utility belt for advanced users of python-requests"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
{file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
]
[package.dependencies]
requests = ">=2.0.1,<3.0.0"
[[package]]
name = "ruff"
version = "0.5.7"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
files = [
{file = "ruff-0.5.7-py3-none-linux_armv6l.whl", hash = "sha256:548992d342fc404ee2e15a242cdbea4f8e39a52f2e7752d0e4cbe88d2d2f416a"},
{file = "ruff-0.5.7-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:00cc8872331055ee017c4f1071a8a31ca0809ccc0657da1d154a1d2abac5c0be"},
{file = "ruff-0.5.7-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eaf3d86a1fdac1aec8a3417a63587d93f906c678bb9ed0b796da7b59c1114a1e"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a01c34400097b06cf8a6e61b35d6d456d5bd1ae6961542de18ec81eaf33b4cb8"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fcc8054f1a717e2213500edaddcf1dbb0abad40d98e1bd9d0ad364f75c763eea"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7f70284e73f36558ef51602254451e50dd6cc479f8b6f8413a95fcb5db4a55fc"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:a78ad870ae3c460394fc95437d43deb5c04b5c29297815a2a1de028903f19692"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9ccd078c66a8e419475174bfe60a69adb36ce04f8d4e91b006f1329d5cd44bcf"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7e31c9bad4ebf8fdb77b59cae75814440731060a09a0e0077d559a556453acbb"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d796327eed8e168164346b769dd9a27a70e0298d667b4ecee6877ce8095ec8e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:4a09ea2c3f7778cc635e7f6edf57d566a8ee8f485f3c4454db7771efb692c499"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:a36d8dcf55b3a3bc353270d544fb170d75d2dff41eba5df57b4e0b67a95bb64e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_i686.whl", hash = "sha256:9369c218f789eefbd1b8d82a8cf25017b523ac47d96b2f531eba73770971c9e5"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b88ca3db7eb377eb24fb7c82840546fb7acef75af4a74bd36e9ceb37a890257e"},
{file = "ruff-0.5.7-py3-none-win32.whl", hash = "sha256:33d61fc0e902198a3e55719f4be6b375b28f860b09c281e4bdbf783c0566576a"},
{file = "ruff-0.5.7-py3-none-win_amd64.whl", hash = "sha256:083bbcbe6fadb93cd86709037acc510f86eed5a314203079df174c40bbbca6b3"},
{file = "ruff-0.5.7-py3-none-win_arm64.whl", hash = "sha256:2dca26154ff9571995107221d0aeaad0e75a77b5a682d6236cf89a58c70b76f4"},
{file = "ruff-0.5.7.tar.gz", hash = "sha256:8dfc0a458797f5d9fb622dd0efc52d796f23f0a1493a9527f4e49a550ae9a7e5"},
]
[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]
[[package]]
name = "sniffio"
version = "1.3.1"
description = "Sniff out which async library your code is running under"
optional = false
python-versions = ">=3.7"
files = [
{file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
{file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
]
[[package]]
name = "syrupy"
version = "4.7.1"
description = "Pytest Snapshot Test Utility"
optional = false
python-versions = ">=3.8.1"
files = [
{file = "syrupy-4.7.1-py3-none-any.whl", hash = "sha256:be002267a512a4bedddfae2e026c93df1ea928ae10baadc09640516923376d41"},
{file = "syrupy-4.7.1.tar.gz", hash = "sha256:f9d4485f3f27d0e5df6ed299cac6fa32eb40a441915d988e82be5a4bdda335c8"},
]
[package.dependencies]
pytest = ">=7.0.0,<9.0.0"
[[package]]
name = "tenacity"
version = "8.5.0"
description = "Retry code until it succeeds"
optional = false
python-versions = ">=3.8"
files = [
{file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
{file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
]
[package.extras]
doc = ["reno", "sphinx"]
test = ["pytest", "tornado (>=4.5)", "typeguard"]
[[package]]
name = "tomli"
version = "2.0.2"
description = "A lil' TOML parser"
optional = false
python-versions = ">=3.8"
files = [
{file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
{file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
]
[[package]]
name = "tqdm"
version = "4.66.5"
description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
files = [
{file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
{file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
]
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
name = "types-requests"
version = "2.32.0.20240914"
description = "Typing stubs for requests"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-requests-2.32.0.20240914.tar.gz", hash = "sha256:2850e178db3919d9bf809e434eef65ba49d0e7e33ac92d588f4a5e295fffd405"},
{file = "types_requests-2.32.0.20240914-py3-none-any.whl", hash = "sha256:59c2f673eb55f32a99b2894faf6020e1a9f4a402ad0f192bfee0b64469054310"},
]
[package.dependencies]
urllib3 = ">=2"
[[package]]
name = "typing-extensions"
version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[[package]]
name = "urllib3"
version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
{file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
{file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
]
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "watchdog"
version = "5.0.3"
description = "Filesystem events monitoring"
optional = false
python-versions = ">=3.9"
files = [
{file = "watchdog-5.0.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:85527b882f3facda0579bce9d743ff7f10c3e1e0db0a0d0e28170a7d0e5ce2ea"},
{file = "watchdog-5.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:53adf73dcdc0ef04f7735066b4a57a4cd3e49ef135daae41d77395f0b5b692cb"},
{file = "watchdog-5.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e25adddab85f674acac303cf1f5835951345a56c5f7f582987d266679979c75b"},
{file = "watchdog-5.0.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f01f4a3565a387080dc49bdd1fefe4ecc77f894991b88ef927edbfa45eb10818"},
{file = "watchdog-5.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:91b522adc25614cdeaf91f7897800b82c13b4b8ac68a42ca959f992f6990c490"},
{file = "watchdog-5.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d52db5beb5e476e6853da2e2d24dbbbed6797b449c8bf7ea118a4ee0d2c9040e"},
{file = "watchdog-5.0.3-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:94d11b07c64f63f49876e0ab8042ae034674c8653bfcdaa8c4b32e71cfff87e8"},
{file = "watchdog-5.0.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:349c9488e1d85d0a58e8cb14222d2c51cbc801ce11ac3936ab4c3af986536926"},
{file = "watchdog-5.0.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:53a3f10b62c2d569e260f96e8d966463dec1a50fa4f1b22aec69e3f91025060e"},
{file = "watchdog-5.0.3-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:950f531ec6e03696a2414b6308f5c6ff9dab7821a768c9d5788b1314e9a46ca7"},
{file = "watchdog-5.0.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:ae6deb336cba5d71476caa029ceb6e88047fc1dc74b62b7c4012639c0b563906"},
{file = "watchdog-5.0.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1021223c08ba8d2d38d71ec1704496471ffd7be42cfb26b87cd5059323a389a1"},
{file = "watchdog-5.0.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:752fb40efc7cc8d88ebc332b8f4bcbe2b5cc7e881bccfeb8e25054c00c994ee3"},
{file = "watchdog-5.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a2e8f3f955d68471fa37b0e3add18500790d129cc7efe89971b8a4cc6fdeb0b2"},
{file = "watchdog-5.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b8ca4d854adcf480bdfd80f46fdd6fb49f91dd020ae11c89b3a79e19454ec627"},
{file = "watchdog-5.0.3-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:90a67d7857adb1d985aca232cc9905dd5bc4803ed85cfcdcfcf707e52049eda7"},
{file = "watchdog-5.0.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:720ef9d3a4f9ca575a780af283c8fd3a0674b307651c1976714745090da5a9e8"},
{file = "watchdog-5.0.3-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:223160bb359281bb8e31c8f1068bf71a6b16a8ad3d9524ca6f523ac666bb6a1e"},
{file = "watchdog-5.0.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:560135542c91eaa74247a2e8430cf83c4342b29e8ad4f520ae14f0c8a19cfb5b"},
{file = "watchdog-5.0.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:dd021efa85970bd4824acacbb922066159d0f9e546389a4743d56919b6758b91"},
{file = "watchdog-5.0.3-py3-none-manylinux2014_armv7l.whl", hash = "sha256:78864cc8f23dbee55be34cc1494632a7ba30263951b5b2e8fc8286b95845f82c"},
{file = "watchdog-5.0.3-py3-none-manylinux2014_i686.whl", hash = "sha256:1e9679245e3ea6498494b3028b90c7b25dbb2abe65c7d07423ecfc2d6218ff7c"},
{file = "watchdog-5.0.3-py3-none-manylinux2014_ppc64.whl", hash = "sha256:9413384f26b5d050b6978e6fcd0c1e7f0539be7a4f1a885061473c5deaa57221"},
{file = "watchdog-5.0.3-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:294b7a598974b8e2c6123d19ef15de9abcd282b0fbbdbc4d23dfa812959a9e05"},
{file = "watchdog-5.0.3-py3-none-manylinux2014_s390x.whl", hash = "sha256:26dd201857d702bdf9d78c273cafcab5871dd29343748524695cecffa44a8d97"},
{file = "watchdog-5.0.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:0f9332243355643d567697c3e3fa07330a1d1abf981611654a1f2bf2175612b7"},
{file = "watchdog-5.0.3-py3-none-win32.whl", hash = "sha256:c66f80ee5b602a9c7ab66e3c9f36026590a0902db3aea414d59a2f55188c1f49"},
{file = "watchdog-5.0.3-py3-none-win_amd64.whl", hash = "sha256:f00b4cf737f568be9665563347a910f8bdc76f88c2970121c86243c8cfdf90e9"},
{file = "watchdog-5.0.3-py3-none-win_ia64.whl", hash = "sha256:49f4d36cb315c25ea0d946e018c01bb028048023b9e103d3d3943f58e109dd45"},
{file = "watchdog-5.0.3.tar.gz", hash = "sha256:108f42a7f0345042a854d4d0ad0834b741d421330d5f575b81cb27b883500176"},
]
[package.extras]
watchmedo = ["PyYAML (>=3.10)"]
[[package]]
name = "yarl"
version = "1.13.1"
description = "Yet another URL library"
optional = false
python-versions = ">=3.8"
files = [
{file = "yarl-1.13.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:82e692fb325013a18a5b73a4fed5a1edaa7c58144dc67ad9ef3d604eccd451ad"},
{file = "yarl-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df4e82e68f43a07735ae70a2d84c0353e58e20add20ec0af611f32cd5ba43fb4"},
{file = "yarl-1.13.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ec9dd328016d8d25702a24ee274932aebf6be9787ed1c28d021945d264235b3c"},
{file = "yarl-1.13.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5820bd4178e6a639b3ef1db8b18500a82ceab6d8b89309e121a6859f56585b05"},
{file = "yarl-1.13.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86c438ce920e089c8c2388c7dcc8ab30dfe13c09b8af3d306bcabb46a053d6f7"},
{file = "yarl-1.13.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3de86547c820e4f4da4606d1c8ab5765dd633189791f15247706a2eeabc783ae"},
{file = "yarl-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ca53632007c69ddcdefe1e8cbc3920dd88825e618153795b57e6ebcc92e752a"},
{file = "yarl-1.13.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d4ee1d240b84e2f213565f0ec08caef27a0e657d4c42859809155cf3a29d1735"},
{file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:c49f3e379177f4477f929097f7ed4b0622a586b0aa40c07ac8c0f8e40659a1ac"},
{file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:5c5e32fef09ce101fe14acd0f498232b5710effe13abac14cd95de9c274e689e"},
{file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ab9524e45ee809a083338a749af3b53cc7efec458c3ad084361c1dbf7aaf82a2"},
{file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:b1481c048fe787f65e34cb06f7d6824376d5d99f1231eae4778bbe5c3831076d"},
{file = "yarl-1.13.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:31497aefd68036d8e31bfbacef915826ca2e741dbb97a8d6c7eac66deda3b606"},
{file = "yarl-1.13.1-cp310-cp310-win32.whl", hash = "sha256:1fa56f34b2236f5192cb5fceba7bbb09620e5337e0b6dfe2ea0ddbd19dd5b154"},
{file = "yarl-1.13.1-cp310-cp310-win_amd64.whl", hash = "sha256:1bbb418f46c7f7355084833051701b2301092e4611d9e392360c3ba2e3e69f88"},
{file = "yarl-1.13.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:216a6785f296169ed52cd7dcdc2612f82c20f8c9634bf7446327f50398732a51"},
{file = "yarl-1.13.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:40c6e73c03a6befb85b72da213638b8aaa80fe4136ec8691560cf98b11b8ae6e"},
{file = "yarl-1.13.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2430cf996113abe5aee387d39ee19529327205cda975d2b82c0e7e96e5fdabdc"},
{file = "yarl-1.13.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fb4134cc6e005b99fa29dbc86f1ea0a298440ab6b07c6b3ee09232a3b48f495"},
{file = "yarl-1.13.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:309c104ecf67626c033845b860d31594a41343766a46fa58c3309c538a1e22b2"},
{file = "yarl-1.13.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f90575e9fe3aae2c1e686393a9689c724cd00045275407f71771ae5d690ccf38"},
{file = "yarl-1.13.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d2e1626be8712333a9f71270366f4a132f476ffbe83b689dd6dc0d114796c74"},
{file = "yarl-1.13.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5b66c87da3c6da8f8e8b648878903ca54589038a0b1e08dde2c86d9cd92d4ac9"},
{file = "yarl-1.13.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:cf1ad338620249f8dd6d4b6a91a69d1f265387df3697ad5dc996305cf6c26fb2"},
{file = "yarl-1.13.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:9915300fe5a0aa663c01363db37e4ae8e7c15996ebe2c6cce995e7033ff6457f"},
{file = "yarl-1.13.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:703b0f584fcf157ef87816a3c0ff868e8c9f3c370009a8b23b56255885528f10"},
{file = "yarl-1.13.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:1d8e3ca29f643dd121f264a7c89f329f0fcb2e4461833f02de6e39fef80f89da"},
{file = "yarl-1.13.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:7055bbade838d68af73aea13f8c86588e4bcc00c2235b4b6d6edb0dbd174e246"},
{file = "yarl-1.13.1-cp311-cp311-win32.whl", hash = "sha256:a3442c31c11088e462d44a644a454d48110f0588de830921fd201060ff19612a"},
{file = "yarl-1.13.1-cp311-cp311-win_amd64.whl", hash = "sha256:81bad32c8f8b5897c909bf3468bf601f1b855d12f53b6af0271963ee67fff0d2"},
{file = "yarl-1.13.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:f452cc1436151387d3d50533523291d5f77c6bc7913c116eb985304abdbd9ec9"},
{file = "yarl-1.13.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:9cec42a20eae8bebf81e9ce23fb0d0c729fc54cf00643eb251ce7c0215ad49fe"},
{file = "yarl-1.13.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d959fe96e5c2712c1876d69af0507d98f0b0e8d81bee14cfb3f6737470205419"},
{file = "yarl-1.13.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b8c837ab90c455f3ea8e68bee143472ee87828bff19ba19776e16ff961425b57"},
{file = "yarl-1.13.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:94a993f976cdcb2dc1b855d8b89b792893220db8862d1a619efa7451817c836b"},
{file = "yarl-1.13.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2b2442a415a5f4c55ced0fade7b72123210d579f7d950e0b5527fc598866e62c"},
{file = "yarl-1.13.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3fdbf0418489525231723cdb6c79e7738b3cbacbaed2b750cb033e4ea208f220"},
{file = "yarl-1.13.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6b7f6e699304717fdc265a7e1922561b02a93ceffdaefdc877acaf9b9f3080b8"},
{file = "yarl-1.13.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:bcd5bf4132e6a8d3eb54b8d56885f3d3a38ecd7ecae8426ecf7d9673b270de43"},
{file = "yarl-1.13.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:2a93a4557f7fc74a38ca5a404abb443a242217b91cd0c4840b1ebedaad8919d4"},
{file = "yarl-1.13.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:22b739f99c7e4787922903f27a892744189482125cc7b95b747f04dd5c83aa9f"},
{file = "yarl-1.13.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:2db874dd1d22d4c2c657807562411ffdfabec38ce4c5ce48b4c654be552759dc"},
{file = "yarl-1.13.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4feaaa4742517eaceafcbe74595ed335a494c84634d33961214b278126ec1485"},
{file = "yarl-1.13.1-cp312-cp312-win32.whl", hash = "sha256:bbf9c2a589be7414ac4a534d54e4517d03f1cbb142c0041191b729c2fa23f320"},
{file = "yarl-1.13.1-cp312-cp312-win_amd64.whl", hash = "sha256:d07b52c8c450f9366c34aa205754355e933922c79135125541daae6cbf31c799"},
{file = "yarl-1.13.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:95c6737f28069153c399d875317f226bbdea939fd48a6349a3b03da6829fb550"},
{file = "yarl-1.13.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:cd66152561632ed4b2a9192e7f8e5a1d41e28f58120b4761622e0355f0fe034c"},
{file = "yarl-1.13.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6a2acde25be0cf9be23a8f6cbd31734536a264723fca860af3ae5e89d771cd71"},
{file = "yarl-1.13.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9a18595e6a2ee0826bf7dfdee823b6ab55c9b70e8f80f8b77c37e694288f5de1"},
{file = "yarl-1.13.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a31d21089894942f7d9a8df166b495101b7258ff11ae0abec58e32daf8088813"},
{file = "yarl-1.13.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:45f209fb4bbfe8630e3d2e2052535ca5b53d4ce2d2026bed4d0637b0416830da"},
{file = "yarl-1.13.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f722f30366474a99745533cc4015b1781ee54b08de73260b2bbe13316079851"},
{file = "yarl-1.13.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3bf60444269345d712838bb11cc4eadaf51ff1a364ae39ce87a5ca8ad3bb2c8"},
{file = "yarl-1.13.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:942c80a832a79c3707cca46bd12ab8aa58fddb34b1626d42b05aa8f0bcefc206"},
{file = "yarl-1.13.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:44b07e1690f010c3c01d353b5790ec73b2f59b4eae5b0000593199766b3f7a5c"},
{file = "yarl-1.13.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:396e59b8de7e4d59ff5507fb4322d2329865b909f29a7ed7ca37e63ade7f835c"},
{file = "yarl-1.13.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:3bb83a0f12701c0b91112a11148b5217617982e1e466069d0555be9b372f2734"},
{file = "yarl-1.13.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:c92b89bffc660f1274779cb6fbb290ec1f90d6dfe14492523a0667f10170de26"},
{file = "yarl-1.13.1-cp313-cp313-win32.whl", hash = "sha256:269c201bbc01d2cbba5b86997a1e0f73ba5e2f471cfa6e226bcaa7fd664b598d"},
{file = "yarl-1.13.1-cp313-cp313-win_amd64.whl", hash = "sha256:1d0828e17fa701b557c6eaed5edbd9098eb62d8838344486248489ff233998b8"},
{file = "yarl-1.13.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8be8cdfe20787e6a5fcbd010f8066227e2bb9058331a4eccddec6c0db2bb85b2"},
{file = "yarl-1.13.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:08d7148ff11cb8e886d86dadbfd2e466a76d5dd38c7ea8ebd9b0e07946e76e4b"},
{file = "yarl-1.13.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4afdf84610ca44dcffe8b6c22c68f309aff96be55f5ea2fa31c0c225d6b83e23"},
{file = "yarl-1.13.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d0d12fe78dcf60efa205e9a63f395b5d343e801cf31e5e1dda0d2c1fb618073d"},
{file = "yarl-1.13.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:298c1eecfd3257aa16c0cb0bdffb54411e3e831351cd69e6b0739be16b1bdaa8"},
{file = "yarl-1.13.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c14c16831b565707149c742d87a6203eb5597f4329278446d5c0ae7a1a43928e"},
{file = "yarl-1.13.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a9bacedbb99685a75ad033fd4de37129449e69808e50e08034034c0bf063f99"},
{file = "yarl-1.13.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:658e8449b84b92a4373f99305de042b6bd0d19bf2080c093881e0516557474a5"},
{file = "yarl-1.13.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:373f16f38721c680316a6a00ae21cc178e3a8ef43c0227f88356a24c5193abd6"},
{file = "yarl-1.13.1-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:45d23c4668d4925688e2ea251b53f36a498e9ea860913ce43b52d9605d3d8177"},
{file = "yarl-1.13.1-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:f7917697bcaa3bc3e83db91aa3a0e448bf5cde43c84b7fc1ae2427d2417c0224"},
{file = "yarl-1.13.1-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:5989a38ba1281e43e4663931a53fbf356f78a0325251fd6af09dd03b1d676a09"},
{file = "yarl-1.13.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:11b3ca8b42a024513adce810385fcabdd682772411d95bbbda3b9ed1a4257644"},
{file = "yarl-1.13.1-cp38-cp38-win32.whl", hash = "sha256:dcaef817e13eafa547cdfdc5284fe77970b891f731266545aae08d6cce52161e"},
{file = "yarl-1.13.1-cp38-cp38-win_amd64.whl", hash = "sha256:7addd26594e588503bdef03908fc207206adac5bd90b6d4bc3e3cf33a829f57d"},
{file = "yarl-1.13.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a0ae6637b173d0c40b9c1462e12a7a2000a71a3258fa88756a34c7d38926911c"},
{file = "yarl-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:576365c9f7469e1f6124d67b001639b77113cfd05e85ce0310f5f318fd02fe85"},
{file = "yarl-1.13.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:78f271722423b2d4851cf1f4fa1a1c4833a128d020062721ba35e1a87154a049"},
{file = "yarl-1.13.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d74f3c335cfe9c21ea78988e67f18eb9822f5d31f88b41aec3a1ec5ecd32da5"},
{file = "yarl-1.13.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1891d69a6ba16e89473909665cd355d783a8a31bc84720902c5911dbb6373465"},
{file = "yarl-1.13.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fb382fd7b4377363cc9f13ba7c819c3c78ed97c36a82f16f3f92f108c787cbbf"},
{file = "yarl-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c8854b9f80693d20cec797d8e48a848c2fb273eb6f2587b57763ccba3f3bd4b"},
{file = "yarl-1.13.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bbf2c3f04ff50f16404ce70f822cdc59760e5e2d7965905f0e700270feb2bbfc"},
{file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:fb9f59f3848edf186a76446eb8bcf4c900fe147cb756fbbd730ef43b2e67c6a7"},
{file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ef9b85fa1bc91c4db24407e7c4da93a5822a73dd4513d67b454ca7064e8dc6a3"},
{file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:098b870c18f1341786f290b4d699504e18f1cd050ed179af8123fd8232513424"},
{file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:8c723c91c94a3bc8033dd2696a0f53e5d5f8496186013167bddc3fb5d9df46a3"},
{file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:44a4c40a6f84e4d5955b63462a0e2a988f8982fba245cf885ce3be7618f6aa7d"},
{file = "yarl-1.13.1-cp39-cp39-win32.whl", hash = "sha256:84bbcdcf393139f0abc9f642bf03f00cac31010f3034faa03224a9ef0bb74323"},
{file = "yarl-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:fc2931ac9ce9c61c9968989ec831d3a5e6fcaaff9474e7cfa8de80b7aff5a093"},
{file = "yarl-1.13.1-py3-none-any.whl", hash = "sha256:6a5185ad722ab4dd52d5fb1f30dcc73282eb1ed494906a92d1a228d3f89607b0"},
{file = "yarl-1.13.1.tar.gz", hash = "sha256:ec8cfe2295f3e5e44c51f57272afbd69414ae629ec7c6b27f5a410efc78b70a0"},
]
[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "40e27b8e7c09a02e0ce22d7134796a59586693612c784be8d17cea70d639f3d2"
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/fireworks/README.md | # LangChain-Fireworks
This is the partner package for tying Fireworks.ai and LangChain. Fireworks really strive to provide good support for LangChain use cases, so if you run into any issues please let us know. You can reach out to us [in our Discord channel](https://discord.com/channels/1137072072808472616/)
## Installation
To use the `langchain-fireworks` package, follow these installation steps:
```bash
pip install langchain-fireworks
```
## Basic usage
### Setting up
1. Sign in to [Fireworks AI](http://fireworks.ai/) to obtain an API Key to access the models, and make sure it is set as the `FIREWORKS_API_KEY` environment variable.
Once you've signed in and obtained an API key, follow these steps to set the `FIREWORKS_API_KEY` environment variable:
- **Linux/macOS:** Open your terminal and execute the following command:
```bash
export FIREWORKS_API_KEY='your_api_key'
```
**Note:** To make this environment variable persistent across terminal sessions, add the above line to your `~/.bashrc`, `~/.bash_profile`, or `~/.zshrc` file.
- **Windows:** For Command Prompt, use:
```cmd
set FIREWORKS_API_KEY=your_api_key
```
2. Set up your model using a model id. If the model is not set, the default model is `fireworks-llama-v2-7b-chat`. See the full, most up-to-date model list on [fireworks.ai](https://fireworks.ai/models).
```python
import getpass
import os
# Initialize a Fireworks model
llm = Fireworks(
model="accounts/fireworks/models/mixtral-8x7b-instruct",
base_url="https://api.fireworks.ai/inference/v1/completions",
)
```
### Calling the Model Directly
You can call the model directly with string prompts to get completions.
```python
# Single prompt
output = llm.invoke("Who's the best quarterback in the NFL?")
print(output)
```
```python
# Calling multiple prompts
output = llm.generate(
[
"Who's the best cricket player in 2016?",
"Who's the best basketball player in the league?",
]
)
print(output.generations)
```
## Advanced usage
### Tool use: LangChain Agent + Fireworks function calling model
Please checkout how to teach Fireworks function calling model to use a [calculator here](https://github.com/fw-ai/cookbook/blob/main/examples/function_calling/fireworks_langchain_tool_usage.ipynb).
Fireworks focus on delivering the best experience for fast model inference as well as tool use. You can check out [our blog](https://fireworks.ai/blog/firefunction-v1-gpt-4-level-function-calling) for more details on how it fares compares to GPT-4, the punchline is that it is on par with GPT-4 in terms just function calling use cases, but it is way faster and much cheaper.
### RAG: LangChain agent + Fireworks function calling model + MongoDB + Nomic AI embeddings
Please check out the [cookbook here](https://github.com/fw-ai/cookbook/blob/main/examples/rag/mongodb_agent.ipynb) for an end to end flow |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/fireworks/pyproject.toml | [build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-fireworks"
version = "0.2.5"
description = "An integration package connecting Fireworks and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.mypy]
disallow_untyped_defs = "True"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/fireworks"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-fireworks%3D%3D0%22&expanded=true"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = "^0.3.15"
fireworks-ai = ">=0.13.0"
openai = "^1.10.0"
requests = "^2"
aiohttp = "^3.9.1"
[tool.ruff.lint]
select = ["E", "F", "I", "T201"]
[tool.coverage.run]
omit = ["tests/*"]
[tool.pytest.ini_options]
addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5"
markers = [
"requires: mark tests as requiring a specific library",
"compile: mark placeholder test used to compile integration tests without running them",
]
asyncio_mode = "auto"
[tool.poetry.group.test]
optional = true
[tool.poetry.group.codespell]
optional = true
[tool.poetry.group.test_integration]
optional = true
[tool.poetry.group.lint]
optional = true
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.test.dependencies]
pytest = "^7.3.0"
freezegun = "^1.2.2"
pytest-mock = "^3.10.0"
syrupy = "^4.0.2"
pytest-watcher = "^0.3.4"
pytest-asyncio = "^0.21.1"
[tool.poetry.group.codespell.dependencies]
codespell = "^2.2.0"
[tool.poetry.group.test_integration.dependencies]
[tool.poetry.group.lint.dependencies]
ruff = "^0.5"
[tool.poetry.group.typing.dependencies]
mypy = "^1.10"
types-requests = "^2"
[tool.poetry.group.test.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.test.dependencies.langchain-tests]
path = "../../standard-tests"
develop = true
[tool.poetry.group.dev.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.typing.dependencies.langchain-core]
path = "../../core"
develop = true
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/integration_tests/test_standard.py | """Standard LangChain interface tests"""
from typing import Type
import pytest
from langchain_core.language_models import BaseChatModel
from langchain_tests.integration_tests import ( # type: ignore[import-not-found]
ChatModelIntegrationTests, # type: ignore[import-not-found]
)
from langchain_fireworks import ChatFireworks
class TestFireworksStandard(ChatModelIntegrationTests):
@property
def chat_model_class(self) -> Type[BaseChatModel]:
return ChatFireworks
@property
def chat_model_params(self) -> dict:
return {
"model": "accounts/fireworks/models/firefunction-v2",
"temperature": 0,
}
@pytest.mark.xfail(reason="Not yet implemented.")
def test_tool_message_histories_list_content(self, model: BaseChatModel) -> None:
super().test_tool_message_histories_list_content(model)
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/integration_tests/test_chat_models.py | """Test ChatFireworks API wrapper
You will need FIREWORKS_API_KEY set in your environment to run these tests.
"""
import json
from typing import Optional
from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessageChunk
from pydantic import BaseModel
from langchain_fireworks import ChatFireworks
def test_chat_fireworks_call() -> None:
"""Test valid call to fireworks."""
llm = ChatFireworks( # type: ignore[call-arg]
model="accounts/fireworks/models/firefunction-v1", temperature=0
)
resp = llm.invoke("Hello!")
assert isinstance(resp, AIMessage)
assert len(resp.content) > 0
def test_tool_choice() -> None:
"""Test that tool choice is respected."""
llm = ChatFireworks( # type: ignore[call-arg]
model="accounts/fireworks/models/firefunction-v1", temperature=0
)
class MyTool(BaseModel):
name: str
age: int
with_tool = llm.bind_tools([MyTool], tool_choice="MyTool")
resp = with_tool.invoke("Who was the 27 year old named Erick?")
assert isinstance(resp, AIMessage)
assert resp.content == "" # should just be tool call
tool_calls = resp.additional_kwargs["tool_calls"]
assert len(tool_calls) == 1
tool_call = tool_calls[0]
assert tool_call["function"]["name"] == "MyTool"
assert json.loads(tool_call["function"]["arguments"]) == {
"age": 27,
"name": "Erick",
}
assert tool_call["type"] == "function"
assert isinstance(resp.tool_calls, list)
assert len(resp.tool_calls) == 1
tool_call = resp.tool_calls[0]
assert tool_call["name"] == "MyTool"
assert tool_call["args"] == {"age": 27, "name": "Erick"}
def test_tool_choice_bool() -> None:
"""Test that tool choice is respected just passing in True."""
llm = ChatFireworks( # type: ignore[call-arg]
model="accounts/fireworks/models/firefunction-v1", temperature=0
)
class MyTool(BaseModel):
name: str
age: int
with_tool = llm.bind_tools([MyTool], tool_choice=True)
resp = with_tool.invoke("Who was the 27 year old named Erick?")
assert isinstance(resp, AIMessage)
assert resp.content == "" # should just be tool call
tool_calls = resp.additional_kwargs["tool_calls"]
assert len(tool_calls) == 1
tool_call = tool_calls[0]
assert tool_call["function"]["name"] == "MyTool"
assert json.loads(tool_call["function"]["arguments"]) == {
"age": 27,
"name": "Erick",
}
assert tool_call["type"] == "function"
def test_stream() -> None:
"""Test streaming tokens from ChatFireworks."""
llm = ChatFireworks() # type: ignore[call-arg]
for token in llm.stream("I'm Pickle Rick"):
assert isinstance(token.content, str)
async def test_astream() -> None:
"""Test streaming tokens from ChatFireworks."""
llm = ChatFireworks() # type: ignore[call-arg]
full: Optional[BaseMessageChunk] = None
chunks_with_token_counts = 0
async for token in llm.astream("I'm Pickle Rick"):
assert isinstance(token, AIMessageChunk)
assert isinstance(token.content, str)
full = token if full is None else full + token
if token.usage_metadata is not None:
chunks_with_token_counts += 1
if chunks_with_token_counts != 1:
raise AssertionError(
"Expected exactly one chunk with token counts. "
"AIMessageChunk aggregation adds counts. Check that "
"this is behaving properly."
)
assert isinstance(full, AIMessageChunk)
assert full.usage_metadata is not None
assert full.usage_metadata["input_tokens"] > 0
assert full.usage_metadata["output_tokens"] > 0
assert (
full.usage_metadata["input_tokens"] + full.usage_metadata["output_tokens"]
== full.usage_metadata["total_tokens"]
)
async def test_abatch() -> None:
"""Test abatch tokens from ChatFireworks."""
llm = ChatFireworks() # type: ignore[call-arg]
result = await llm.abatch(["I'm Pickle Rick", "I'm not Pickle Rick"])
for token in result:
assert isinstance(token.content, str)
async def test_abatch_tags() -> None:
"""Test batch tokens from ChatFireworks."""
llm = ChatFireworks() # type: ignore[call-arg]
result = await llm.abatch(
["I'm Pickle Rick", "I'm not Pickle Rick"], config={"tags": ["foo"]}
)
for token in result:
assert isinstance(token.content, str)
def test_batch() -> None:
"""Test batch tokens from ChatFireworks."""
llm = ChatFireworks() # type: ignore[call-arg]
result = llm.batch(["I'm Pickle Rick", "I'm not Pickle Rick"])
for token in result:
assert isinstance(token.content, str)
async def test_ainvoke() -> None:
"""Test invoke tokens from ChatFireworks."""
llm = ChatFireworks() # type: ignore[call-arg]
result = await llm.ainvoke("I'm Pickle Rick", config={"tags": ["foo"]})
assert isinstance(result.content, str)
def test_invoke() -> None:
"""Test invoke tokens from ChatFireworks."""
llm = ChatFireworks() # type: ignore[call-arg]
result = llm.invoke("I'm Pickle Rick", config=dict(tags=["foo"]))
assert isinstance(result.content, str)
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/integration_tests/test_embeddings.py | """Test Fireworks embeddings."""
from langchain_fireworks.embeddings import FireworksEmbeddings
def test_langchain_fireworks_embedding_documents() -> None:
"""Test Fireworks hosted embeddings."""
documents = ["foo bar"]
embedding = FireworksEmbeddings(model="nomic-ai/nomic-embed-text-v1.5")
output = embedding.embed_documents(documents)
assert len(output) == 1
assert len(output[0]) > 0
def test_langchain_fireworks_embedding_query() -> None:
"""Test Fireworks hosted embeddings."""
document = "foo bar"
embedding = FireworksEmbeddings(model="nomic-ai/nomic-embed-text-v1.5")
output = embedding.embed_query(document)
assert len(output) > 0
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/integration_tests/test_llms.py | """Test Fireworks API wrapper.
In order to run this test, you need to have an Fireworks api key.
You can get it by registering for free at https://api.fireworks.ai/.
A test key can be found at https://api.fireworks.ai/settings/api-keys
You'll then need to set FIREWORKS_API_KEY environment variable to your api key.
"""
import pytest as pytest
from langchain_fireworks import Fireworks
def test_fireworks_call() -> None:
"""Test simple call to fireworks."""
llm = Fireworks(
model="accounts/fireworks/models/mixtral-8x7b-instruct",
temperature=0.2,
max_tokens=250,
)
output = llm.invoke("Say foo:")
assert llm._llm_type == "fireworks"
assert isinstance(output, str)
assert len(output) > 0
async def test_fireworks_acall() -> None:
"""Test simple call to fireworks."""
llm = Fireworks(
model="accounts/fireworks/models/mixtral-8x7b-instruct",
temperature=0.2,
max_tokens=250,
)
output = await llm.agenerate(["Say foo:"], stop=["bar"])
assert llm._llm_type == "fireworks"
output_text = output.generations[0][0].text
assert isinstance(output_text, str)
assert output_text.count("bar") <= 1
def test_stream() -> None:
"""Test streaming tokens from OpenAI."""
llm = Fireworks(model="accounts/fireworks/models/mixtral-8x7b-instruct")
for token in llm.stream("I'm Pickle Rick"):
assert isinstance(token, str)
async def test_astream() -> None:
"""Test streaming tokens from OpenAI."""
llm = Fireworks(model="accounts/fireworks/models/mixtral-8x7b-instruct")
async for token in llm.astream("I'm Pickle Rick"):
assert isinstance(token, str)
async def test_abatch() -> None:
"""Test streaming tokens from Fireworks."""
llm = Fireworks(model="accounts/fireworks/models/mixtral-8x7b-instruct")
result = await llm.abatch(["I'm Pickle Rick", "I'm not Pickle Rick"])
for token in result:
assert isinstance(token, str)
async def test_abatch_tags() -> None:
"""Test batch tokens from Fireworks."""
llm = Fireworks(model="accounts/fireworks/models/mixtral-8x7b-instruct")
result = await llm.abatch(
["I'm Pickle Rick", "I'm not Pickle Rick"], config={"tags": ["foo"]}
)
for token in result:
assert isinstance(token, str)
def test_batch() -> None:
"""Test batch tokens from Fireworks."""
llm = Fireworks(model="accounts/fireworks/models/mixtral-8x7b-instruct")
result = llm.batch(["I'm Pickle Rick", "I'm not Pickle Rick"])
for token in result:
assert isinstance(token, str)
async def test_ainvoke() -> None:
"""Test invoke tokens from Fireworks."""
llm = Fireworks(model="accounts/fireworks/models/mixtral-8x7b-instruct")
result = await llm.ainvoke("I'm Pickle Rick", config={"tags": ["foo"]})
assert isinstance(result, str)
def test_invoke() -> None:
"""Test invoke tokens from Fireworks."""
llm = Fireworks(model="accounts/fireworks/models/mixtral-8x7b-instruct")
result = llm.invoke("I'm Pickle Rick", config=dict(tags=["foo"]))
assert isinstance(result, str)
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/integration_tests/test_compile.py | import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/unit_tests/test_standard.py | """Standard LangChain interface tests"""
from typing import Tuple, Type
from langchain_core.language_models import BaseChatModel
from langchain_tests.unit_tests import ( # type: ignore[import-not-found]
ChatModelUnitTests, # type: ignore[import-not-found]
)
from langchain_fireworks import ChatFireworks
class TestFireworksStandard(ChatModelUnitTests):
@property
def chat_model_class(self) -> Type[BaseChatModel]:
return ChatFireworks
@property
def chat_model_params(self) -> dict:
return {"api_key": "test_api_key"}
@property
def init_from_env_params(self) -> Tuple[dict, dict, dict]:
return (
{
"FIREWORKS_API_KEY": "api_key",
"FIREWORKS_API_BASE": "https://base.com",
},
{},
{
"fireworks_api_key": "api_key",
"fireworks_api_base": "https://base.com",
},
)
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/unit_tests/test_imports.py | from langchain_fireworks import __all__
EXPECTED_ALL = [
"__version__",
"ChatFireworks",
"Fireworks",
"FireworksEmbeddings",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/unit_tests/test_embeddings.py | """Test embedding model integration."""
from langchain_fireworks.embeddings import FireworksEmbeddings
def test_initialization() -> None:
"""Test embedding model initialization."""
FireworksEmbeddings(model="nomic-ai/nomic-embed-text-v1.5")
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/unit_tests/test_llms.py | """Test Fireworks LLM"""
from typing import cast
from pydantic import SecretStr
from pytest import CaptureFixture, MonkeyPatch
from langchain_fireworks import Fireworks
def test_fireworks_api_key_is_secret_string() -> None:
"""Test that the API key is stored as a SecretStr."""
llm = Fireworks( # type: ignore[call-arg]
fireworks_api_key="secret-api-key",
model="accounts/fireworks/models/mixtral-8x7b-instruct",
temperature=0.2,
max_tokens=250,
)
assert isinstance(llm.fireworks_api_key, SecretStr)
# Test api_key alias
llm = Fireworks(
api_key="secret-api-key", # type: ignore[arg-type]
model="accounts/fireworks/models/mixtral-8x7b-instruct",
temperature=0.2,
max_tokens=250,
)
assert isinstance(llm.fireworks_api_key, SecretStr)
def test_fireworks_api_key_masked_when_passed_from_env(
monkeypatch: MonkeyPatch, capsys: CaptureFixture
) -> None:
"""Test that the API key is masked when passed from an environment variable."""
monkeypatch.setenv("FIREWORKS_API_KEY", "secret-api-key")
llm = Fireworks(
model="accounts/fireworks/models/mixtral-8x7b-instruct",
temperature=0.2,
max_tokens=250,
)
print(llm.fireworks_api_key, end="") # noqa: T201
captured = capsys.readouterr()
assert captured.out == "**********"
def test_fireworks_api_key_masked_when_passed_via_constructor(
capsys: CaptureFixture,
) -> None:
"""Test that the API key is masked when passed via the constructor."""
llm = Fireworks( # type: ignore[call-arg]
fireworks_api_key="secret-api-key",
model="accounts/fireworks/models/mixtral-8x7b-instruct",
temperature=0.2,
max_tokens=250,
)
print(llm.fireworks_api_key, end="") # noqa: T201
captured = capsys.readouterr()
assert captured.out == "**********"
def test_fireworks_uses_actual_secret_value_from_secretstr() -> None:
"""Test that the actual secret value is correctly retrieved."""
llm = Fireworks( # type: ignore[call-arg]
fireworks_api_key="secret-api-key",
model="accounts/fireworks/models/mixtral-8x7b-instruct",
temperature=0.2,
max_tokens=250,
)
assert cast(SecretStr, llm.fireworks_api_key).get_secret_value() == "secret-api-key"
def test_fireworks_model_params() -> None:
# Test standard tracing params
llm = Fireworks(model="foo", api_key="secret-api-key") # type: ignore[arg-type]
ls_params = llm._get_ls_params()
assert ls_params == {
"ls_provider": "fireworks",
"ls_model_type": "llm",
"ls_model_name": "foo",
}
llm = Fireworks(
model="foo",
api_key="secret-api-key", # type: ignore[arg-type]
max_tokens=10,
temperature=0.1,
)
ls_params = llm._get_ls_params()
assert ls_params == {
"ls_provider": "fireworks",
"ls_model_type": "llm",
"ls_model_name": "foo",
"ls_max_tokens": 10,
"ls_temperature": 0.1,
}
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests | lc_public_repos/langchain/libs/partners/fireworks/tests/unit_tests/test_embeddings_standard.py | """Standard LangChain interface tests"""
from typing import Tuple, Type
from langchain_core.embeddings import Embeddings
from langchain_tests.unit_tests.embeddings import EmbeddingsUnitTests
from langchain_fireworks import FireworksEmbeddings
class TestFireworksStandard(EmbeddingsUnitTests):
@property
def embeddings_class(self) -> Type[Embeddings]:
return FireworksEmbeddings
@property
def embeddings_params(self) -> dict:
return {"api_key": "test_api_key"}
@property
def init_from_env_params(self) -> Tuple[dict, dict, dict]:
return (
{
"FIREWORKS_API_KEY": "api_key",
},
{},
{
"fireworks_api_key": "api_key",
},
)
|
0 | lc_public_repos/langchain/libs/partners/fireworks/tests/unit_tests | lc_public_repos/langchain/libs/partners/fireworks/tests/unit_tests/__snapshots__/test_standard.ambr | # serializer version: 1
# name: TestFireworksStandard.test_serdes[serialized]
dict({
'id': list([
'langchain',
'chat_models',
'fireworks',
'ChatFireworks',
]),
'kwargs': dict({
'fireworks_api_key': dict({
'id': list([
'FIREWORKS_API_KEY',
]),
'lc': 1,
'type': 'secret',
}),
'max_retries': 2,
'max_tokens': 100,
'model_name': 'accounts/fireworks/models/mixtral-8x7b-instruct',
'n': 1,
'request_timeout': 60.0,
'stop': list([
]),
}),
'lc': 1,
'name': 'ChatFireworks',
'type': 'constructor',
})
# ---
|
0 | lc_public_repos/langchain/libs/partners/fireworks | lc_public_repos/langchain/libs/partners/fireworks/langchain_fireworks/version.py | """Main entrypoint into package."""
from importlib import metadata
try:
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
# Case where package metadata is not available.
__version__ = ""
|
0 | lc_public_repos/langchain/libs/partners/fireworks | lc_public_repos/langchain/libs/partners/fireworks/langchain_fireworks/llms.py | """Wrapper around Fireworks AI's Completion API."""
import logging
from typing import Any, Dict, List, Optional
import requests
from aiohttp import ClientSession
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.utils import get_pydantic_field_names
from langchain_core.utils.utils import _build_model_kwargs, secret_from_env
from pydantic import ConfigDict, Field, SecretStr, model_validator
from langchain_fireworks.version import __version__
logger = logging.getLogger(__name__)
class Fireworks(LLM):
"""LLM models from `Fireworks`.
To use, you'll need an API key which you can find here:
https://fireworks.ai This can be passed in as init param
``fireworks_api_key`` or set as environment variable ``FIREWORKS_API_KEY``.
Fireworks AI API reference: https://readme.fireworks.ai/
Example:
.. code-block:: python
response = fireworks.generate(["Tell me a joke."])
"""
base_url: str = "https://api.fireworks.ai/inference/v1/completions"
"""Base inference API URL."""
fireworks_api_key: SecretStr = Field(
alias="api_key",
default_factory=secret_from_env(
"FIREWORKS_API_KEY",
error_message=(
"You must specify an api key. "
"You can pass it an argument as `api_key=...` or "
"set the environment variable `FIREWORKS_API_KEY`."
),
),
)
"""Fireworks API key.
Automatically read from env variable `FIREWORKS_API_KEY` if not provided.
"""
model: str
"""Model name. Available models listed here:
https://readme.fireworks.ai/
"""
temperature: Optional[float] = None
"""Model temperature."""
top_p: Optional[float] = None
"""Used to dynamically adjust the number of choices for each predicted token based
on the cumulative probabilities. A value of 1 will always yield the same
output. A temperature less than 1 favors more correctness and is appropriate
for question answering or summarization. A value greater than 1 introduces more
randomness in the output.
"""
model_kwargs: Dict[str, Any] = Field(default_factory=dict)
"""Holds any model parameters valid for `create` call not explicitly specified."""
top_k: Optional[int] = None
"""Used to limit the number of choices for the next predicted word or token. It
specifies the maximum number of tokens to consider at each step, based on their
probability of occurrence. This technique helps to speed up the generation
process and can improve the quality of the generated text by focusing on the
most likely options.
"""
max_tokens: Optional[int] = None
"""The maximum number of tokens to generate."""
repetition_penalty: Optional[float] = None
"""A number that controls the diversity of generated text by reducing the
likelihood of repeated sequences. Higher values decrease repetition.
"""
logprobs: Optional[int] = None
"""An integer that specifies how many top token log probabilities are included in
the response for each token generation step.
"""
model_config = ConfigDict(
extra="forbid",
populate_by_name=True,
)
@model_validator(mode="before")
@classmethod
def build_extra(cls, values: Dict[str, Any]) -> Any:
"""Build extra kwargs from additional params that were passed in."""
all_required_field_names = get_pydantic_field_names(cls)
values = _build_model_kwargs(values, all_required_field_names)
return values
@property
def _llm_type(self) -> str:
"""Return type of model."""
return "fireworks"
def _format_output(self, output: dict) -> str:
return output["choices"][0]["text"]
@staticmethod
def get_user_agent() -> str:
return f"langchain-fireworks/{__version__}"
@property
def default_params(self) -> Dict[str, Any]:
return {
"model": self.model,
"temperature": self.temperature,
"top_p": self.top_p,
"top_k": self.top_k,
"max_tokens": self.max_tokens,
"repetition_penalty": self.repetition_penalty,
}
def _call(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> str:
"""Call out to Fireworks's text generation endpoint.
Args:
prompt: The prompt to pass into the model.
Returns:
The string generated by the model..
"""
headers = {
"Authorization": f"Bearer {self.fireworks_api_key.get_secret_value()}",
"Content-Type": "application/json",
}
stop_to_use = stop[0] if stop and len(stop) == 1 else stop
payload: Dict[str, Any] = {
**self.default_params,
"prompt": prompt,
"stop": stop_to_use,
**kwargs,
}
# filter None values to not pass them to the http payload
payload = {k: v for k, v in payload.items() if v is not None}
response = requests.post(url=self.base_url, json=payload, headers=headers)
if response.status_code >= 500:
raise Exception(f"Fireworks Server: Error {response.status_code}")
elif response.status_code >= 400:
raise ValueError(f"Fireworks received an invalid payload: {response.text}")
elif response.status_code != 200:
raise Exception(
f"Fireworks returned an unexpected response with status "
f"{response.status_code}: {response.text}"
)
data = response.json()
output = self._format_output(data)
return output
async def _acall(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> str:
"""Call Fireworks model to get predictions based on the prompt.
Args:
prompt: The prompt to pass into the model.
Returns:
The string generated by the model.
"""
headers = {
"Authorization": f"Bearer {self.fireworks_api_key.get_secret_value()}",
"Content-Type": "application/json",
}
stop_to_use = stop[0] if stop and len(stop) == 1 else stop
payload: Dict[str, Any] = {
**self.default_params,
"prompt": prompt,
"stop": stop_to_use,
**kwargs,
}
# filter None values to not pass them to the http payload
payload = {k: v for k, v in payload.items() if v is not None}
async with ClientSession() as session:
async with session.post(
self.base_url, json=payload, headers=headers
) as response:
if response.status >= 500:
raise Exception(f"Fireworks Server: Error {response.status}")
elif response.status >= 400:
raise ValueError(
f"Fireworks received an invalid payload: {response.text}"
)
elif response.status != 200:
raise Exception(
f"Fireworks returned an unexpected response with status "
f"{response.status}: {response.text}"
)
response_json = await response.json()
output = self._format_output(response_json)
return output
|
0 | lc_public_repos/langchain/libs/partners/fireworks | lc_public_repos/langchain/libs/partners/fireworks/langchain_fireworks/chat_models.py | """Fireworks chat wrapper."""
from __future__ import annotations
import json
import logging
from operator import itemgetter
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Literal,
Mapping,
Optional,
Sequence,
Tuple,
Type,
TypedDict,
Union,
cast,
)
from fireworks.client import AsyncFireworks, Fireworks # type: ignore
from langchain_core._api import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models import LanguageModelInput
from langchain_core.language_models.chat_models import (
BaseChatModel,
LangSmithParams,
agenerate_from_stream,
generate_from_stream,
)
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
BaseMessage,
BaseMessageChunk,
ChatMessage,
ChatMessageChunk,
FunctionMessage,
FunctionMessageChunk,
HumanMessage,
HumanMessageChunk,
InvalidToolCall,
SystemMessage,
SystemMessageChunk,
ToolCall,
ToolMessage,
ToolMessageChunk,
)
from langchain_core.messages.tool import (
ToolCallChunk,
)
from langchain_core.messages.tool import (
tool_call_chunk as create_tool_call_chunk,
)
from langchain_core.output_parsers import JsonOutputParser, PydanticOutputParser
from langchain_core.output_parsers.base import OutputParserLike
from langchain_core.output_parsers.openai_tools import (
JsonOutputKeyToolsParser,
PydanticToolsParser,
make_invalid_tool_call,
parse_tool_call,
)
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
from langchain_core.runnables import Runnable, RunnableMap, RunnablePassthrough
from langchain_core.tools import BaseTool
from langchain_core.utils import (
get_pydantic_field_names,
)
from langchain_core.utils.function_calling import (
convert_to_openai_function,
convert_to_openai_tool,
)
from langchain_core.utils.pydantic import is_basemodel_subclass
from langchain_core.utils.utils import _build_model_kwargs, from_env, secret_from_env
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,
model_validator,
)
from typing_extensions import Self
logger = logging.getLogger(__name__)
def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
"""Convert a dictionary to a LangChain message.
Args:
_dict: The dictionary.
Returns:
The LangChain message.
"""
role = _dict.get("role")
if role == "user":
return HumanMessage(content=_dict.get("content", ""))
elif role == "assistant":
# Fix for azure
# Also Fireworks returns None for tool invocations
content = _dict.get("content", "") or ""
additional_kwargs: Dict = {}
if function_call := _dict.get("function_call"):
additional_kwargs["function_call"] = dict(function_call)
tool_calls = []
invalid_tool_calls = []
if raw_tool_calls := _dict.get("tool_calls"):
additional_kwargs["tool_calls"] = raw_tool_calls
for raw_tool_call in raw_tool_calls:
try:
tool_calls.append(parse_tool_call(raw_tool_call, return_id=True))
except Exception as e:
invalid_tool_calls.append(
dict(make_invalid_tool_call(raw_tool_call, str(e)))
)
return AIMessage(
content=content,
additional_kwargs=additional_kwargs,
tool_calls=tool_calls,
invalid_tool_calls=invalid_tool_calls,
)
elif role == "system":
return SystemMessage(content=_dict.get("content", ""))
elif role == "function":
return FunctionMessage(
content=_dict.get("content", ""), name=_dict.get("name", "")
)
elif role == "tool":
additional_kwargs = {}
if "name" in _dict:
additional_kwargs["name"] = _dict["name"]
return ToolMessage(
content=_dict.get("content", ""),
tool_call_id=_dict.get("tool_call_id", ""),
additional_kwargs=additional_kwargs,
)
else:
return ChatMessage(content=_dict.get("content", ""), role=role or "")
def _convert_message_to_dict(message: BaseMessage) -> dict:
"""Convert a LangChain message to a dictionary.
Args:
message: The LangChain message.
Returns:
The dictionary.
"""
message_dict: Dict[str, Any]
if isinstance(message, ChatMessage):
message_dict = {"role": message.role, "content": message.content}
elif isinstance(message, HumanMessage):
message_dict = {"role": "user", "content": message.content}
elif isinstance(message, AIMessage):
message_dict = {"role": "assistant", "content": message.content}
if "function_call" in message.additional_kwargs:
message_dict["function_call"] = message.additional_kwargs["function_call"]
# If function call only, content is None not empty string
if message_dict["content"] == "":
message_dict["content"] = None
if message.tool_calls or message.invalid_tool_calls:
message_dict["tool_calls"] = [
_lc_tool_call_to_fireworks_tool_call(tc) for tc in message.tool_calls
] + [
_lc_invalid_tool_call_to_fireworks_tool_call(tc)
for tc in message.invalid_tool_calls
]
elif "tool_calls" in message.additional_kwargs:
message_dict["tool_calls"] = message.additional_kwargs["tool_calls"]
# If tool calls only, content is None not empty string
if "tool_calls" in message_dict and message_dict["content"] == "":
message_dict["content"] = None
else:
pass
elif isinstance(message, SystemMessage):
message_dict = {"role": "system", "content": message.content}
elif isinstance(message, FunctionMessage):
message_dict = {
"role": "function",
"content": message.content,
"name": message.name,
}
elif isinstance(message, ToolMessage):
message_dict = {
"role": "tool",
"content": message.content,
"tool_call_id": message.tool_call_id,
}
else:
raise TypeError(f"Got unknown type {message}")
if "name" in message.additional_kwargs:
message_dict["name"] = message.additional_kwargs["name"]
return message_dict
def _convert_chunk_to_message_chunk(
chunk: Mapping[str, Any], default_class: Type[BaseMessageChunk]
) -> BaseMessageChunk:
choice = chunk["choices"][0]
_dict = choice["delta"]
role = cast(str, _dict.get("role"))
content = cast(str, _dict.get("content") or "")
additional_kwargs: Dict = {}
tool_call_chunks: List[ToolCallChunk] = []
if _dict.get("function_call"):
function_call = dict(_dict["function_call"])
if "name" in function_call and function_call["name"] is None:
function_call["name"] = ""
additional_kwargs["function_call"] = function_call
if raw_tool_calls := _dict.get("tool_calls"):
additional_kwargs["tool_calls"] = raw_tool_calls
for rtc in raw_tool_calls:
try:
tool_call_chunks.append(
create_tool_call_chunk(
name=rtc["function"].get("name"),
args=rtc["function"].get("arguments"),
id=rtc.get("id"),
index=rtc.get("index"),
)
)
except KeyError:
pass
if role == "user" or default_class == HumanMessageChunk:
return HumanMessageChunk(content=content)
elif role == "assistant" or default_class == AIMessageChunk:
if usage := chunk.get("usage"):
input_tokens = usage.get("prompt_tokens", 0)
output_tokens = usage.get("completion_tokens", 0)
usage_metadata = {
"input_tokens": input_tokens,
"output_tokens": output_tokens,
"total_tokens": usage.get("total_tokens", input_tokens + output_tokens),
}
else:
usage_metadata = None
return AIMessageChunk(
content=content,
additional_kwargs=additional_kwargs,
tool_call_chunks=tool_call_chunks,
usage_metadata=usage_metadata, # type: ignore[arg-type]
)
elif role == "system" or default_class == SystemMessageChunk:
return SystemMessageChunk(content=content)
elif role == "function" or default_class == FunctionMessageChunk:
return FunctionMessageChunk(content=content, name=_dict["name"])
elif role == "tool" or default_class == ToolMessageChunk:
return ToolMessageChunk(content=content, tool_call_id=_dict["tool_call_id"])
elif role or default_class == ChatMessageChunk:
return ChatMessageChunk(content=content, role=role)
else:
return default_class(content=content) # type: ignore
class _FunctionCall(TypedDict):
name: str
# This is basically a copy and replace for ChatFireworks, except
# - I needed to gut out tiktoken and some of the token estimation logic
# (not sure how important it is)
# - Environment variable is different
# we should refactor into some OpenAI-like class in the future
class ChatFireworks(BaseChatModel):
"""`Fireworks` Chat large language models API.
To use, you should have the
environment variable ``FIREWORKS_API_KEY`` set with your API key.
Any parameters that are valid to be passed to the fireworks.create call
can be passed in, even if not explicitly saved on this class.
Example:
.. code-block:: python
from langchain_fireworks.chat_models import ChatFireworks
fireworks = ChatFireworks(
model_name="accounts/fireworks/models/mixtral-8x7b-instruct")
"""
@property
def lc_secrets(self) -> Dict[str, str]:
return {"fireworks_api_key": "FIREWORKS_API_KEY"}
@classmethod
def get_lc_namespace(cls) -> List[str]:
"""Get the namespace of the langchain object."""
return ["langchain", "chat_models", "fireworks"]
@property
def lc_attributes(self) -> Dict[str, Any]:
attributes: Dict[str, Any] = {}
if self.fireworks_api_base:
attributes["fireworks_api_base"] = self.fireworks_api_base
return attributes
@classmethod
def is_lc_serializable(cls) -> bool:
"""Return whether this model can be serialized by Langchain."""
return True
client: Any = Field(default=None, exclude=True) #: :meta private:
async_client: Any = Field(default=None, exclude=True) #: :meta private:
model_name: str = Field(
default="accounts/fireworks/models/mixtral-8x7b-instruct", alias="model"
)
"""Model name to use."""
temperature: float = 0.0
"""What sampling temperature to use."""
stop: Optional[Union[str, List[str]]] = Field(default=None, alias="stop_sequences")
"""Default stop sequences."""
model_kwargs: Dict[str, Any] = Field(default_factory=dict)
"""Holds any model parameters valid for `create` call not explicitly specified."""
fireworks_api_key: SecretStr = Field(
alias="api_key",
default_factory=secret_from_env(
"FIREWORKS_API_KEY",
error_message=(
"You must specify an api key. "
"You can pass it an argument as `api_key=...` or "
"set the environment variable `FIREWORKS_API_KEY`."
),
),
)
"""Fireworks API key.
Automatically read from env variable `FIREWORKS_API_KEY` if not provided.
"""
fireworks_api_base: Optional[str] = Field(
alias="base_url", default_factory=from_env("FIREWORKS_API_BASE", default=None)
)
"""Base URL path for API requests, leave blank if not using a proxy or service
emulator."""
request_timeout: Union[float, Tuple[float, float], Any, None] = Field(
default=None, alias="timeout"
)
"""Timeout for requests to Fireworks completion API. Can be float, httpx.Timeout or
None."""
streaming: bool = False
"""Whether to stream the results or not."""
n: int = 1
"""Number of chat completions to generate for each prompt."""
max_tokens: Optional[int] = None
"""Maximum number of tokens to generate."""
max_retries: Optional[int] = None
"""Maximum number of retries to make when generating."""
model_config = ConfigDict(
populate_by_name=True,
)
@model_validator(mode="before")
@classmethod
def build_extra(cls, values: Dict[str, Any]) -> Any:
"""Build extra kwargs from additional params that were passed in."""
all_required_field_names = get_pydantic_field_names(cls)
values = _build_model_kwargs(values, all_required_field_names)
return values
@model_validator(mode="after")
def validate_environment(self) -> Self:
"""Validate that api key and python package exists in environment."""
if self.n < 1:
raise ValueError("n must be at least 1.")
if self.n > 1 and self.streaming:
raise ValueError("n must be 1 when streaming.")
client_params = {
"api_key": (
self.fireworks_api_key.get_secret_value()
if self.fireworks_api_key
else None
),
"base_url": self.fireworks_api_base,
"timeout": self.request_timeout,
}
if not self.client:
self.client = Fireworks(**client_params).chat.completions
if not self.async_client:
self.async_client = AsyncFireworks(**client_params).chat.completions
if self.max_retries:
self.client._max_retries = self.max_retries
self.async_client._max_retries = self.max_retries
return self
@property
def _default_params(self) -> Dict[str, Any]:
"""Get the default parameters for calling Fireworks API."""
params = {
"model": self.model_name,
"stream": self.streaming,
"n": self.n,
"temperature": self.temperature,
"stop": self.stop,
**self.model_kwargs,
}
if self.max_tokens is not None:
params["max_tokens"] = self.max_tokens
return params
def _get_ls_params(
self, stop: Optional[List[str]] = None, **kwargs: Any
) -> LangSmithParams:
"""Get standard params for tracing."""
params = self._get_invocation_params(stop=stop, **kwargs)
ls_params = LangSmithParams(
ls_provider="fireworks",
ls_model_name=self.model_name,
ls_model_type="chat",
ls_temperature=params.get("temperature", self.temperature),
)
if ls_max_tokens := params.get("max_tokens", self.max_tokens):
ls_params["ls_max_tokens"] = ls_max_tokens
if ls_stop := stop or params.get("stop", None):
ls_params["ls_stop"] = ls_stop
return ls_params
def _combine_llm_outputs(self, llm_outputs: List[Optional[dict]]) -> dict:
overall_token_usage: dict = {}
system_fingerprint = None
for output in llm_outputs:
if output is None:
# Happens in streaming
continue
token_usage = output["token_usage"]
if token_usage is not None:
for k, v in token_usage.items():
if k in overall_token_usage:
overall_token_usage[k] += v
else:
overall_token_usage[k] = v
if system_fingerprint is None:
system_fingerprint = output.get("system_fingerprint")
combined = {"token_usage": overall_token_usage, "model_name": self.model_name}
if system_fingerprint:
combined["system_fingerprint"] = system_fingerprint
return combined
def _stream(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> Iterator[ChatGenerationChunk]:
message_dicts, params = self._create_message_dicts(messages, stop)
params = {**params, **kwargs, "stream": True}
default_chunk_class: Type[BaseMessageChunk] = AIMessageChunk
for chunk in self.client.create(messages=message_dicts, **params):
if not isinstance(chunk, dict):
chunk = chunk.model_dump()
if len(chunk["choices"]) == 0:
continue
choice = chunk["choices"][0]
message_chunk = _convert_chunk_to_message_chunk(chunk, default_chunk_class)
generation_info = {}
if finish_reason := choice.get("finish_reason"):
generation_info["finish_reason"] = finish_reason
logprobs = choice.get("logprobs")
if logprobs:
generation_info["logprobs"] = logprobs
default_chunk_class = message_chunk.__class__
generation_chunk = ChatGenerationChunk(
message=message_chunk, generation_info=generation_info or None
)
if run_manager:
run_manager.on_llm_new_token(
generation_chunk.text, chunk=generation_chunk, logprobs=logprobs
)
yield generation_chunk
def _generate(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
stream: Optional[bool] = None,
**kwargs: Any,
) -> ChatResult:
should_stream = stream if stream is not None else self.streaming
if should_stream:
stream_iter = self._stream(
messages, stop=stop, run_manager=run_manager, **kwargs
)
return generate_from_stream(stream_iter)
message_dicts, params = self._create_message_dicts(messages, stop)
params = {
**params,
**({"stream": stream} if stream is not None else {}),
**kwargs,
}
response = self.client.create(messages=message_dicts, **params)
return self._create_chat_result(response)
def _create_message_dicts(
self, messages: List[BaseMessage], stop: Optional[List[str]]
) -> Tuple[List[Dict[str, Any]], Dict[str, Any]]:
params = self._default_params
if stop is not None:
params["stop"] = stop
message_dicts = [_convert_message_to_dict(m) for m in messages]
return message_dicts, params
def _create_chat_result(self, response: Union[dict, BaseModel]) -> ChatResult:
generations = []
if not isinstance(response, dict):
response = response.model_dump()
token_usage = response.get("usage", {})
for res in response["choices"]:
message = _convert_dict_to_message(res["message"])
if token_usage and isinstance(message, AIMessage):
message.usage_metadata = {
"input_tokens": token_usage.get("prompt_tokens", 0),
"output_tokens": token_usage.get("completion_tokens", 0),
"total_tokens": token_usage.get("total_tokens", 0),
}
generation_info = dict(finish_reason=res.get("finish_reason"))
if "logprobs" in res:
generation_info["logprobs"] = res["logprobs"]
gen = ChatGeneration(
message=message,
generation_info=generation_info,
)
generations.append(gen)
llm_output = {
"token_usage": token_usage,
"model_name": self.model_name,
"system_fingerprint": response.get("system_fingerprint", ""),
}
return ChatResult(generations=generations, llm_output=llm_output)
async def _astream(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> AsyncIterator[ChatGenerationChunk]:
message_dicts, params = self._create_message_dicts(messages, stop)
params = {**params, **kwargs, "stream": True}
default_chunk_class: Type[BaseMessageChunk] = AIMessageChunk
async for chunk in self.async_client.acreate(messages=message_dicts, **params):
if not isinstance(chunk, dict):
chunk = chunk.model_dump()
if len(chunk["choices"]) == 0:
continue
choice = chunk["choices"][0]
message_chunk = _convert_chunk_to_message_chunk(chunk, default_chunk_class)
generation_info = {}
if finish_reason := choice.get("finish_reason"):
generation_info["finish_reason"] = finish_reason
logprobs = choice.get("logprobs")
if logprobs:
generation_info["logprobs"] = logprobs
default_chunk_class = message_chunk.__class__
generation_chunk = ChatGenerationChunk(
message=message_chunk, generation_info=generation_info or None
)
if run_manager:
await run_manager.on_llm_new_token(
token=generation_chunk.text,
chunk=generation_chunk,
logprobs=logprobs,
)
yield generation_chunk
async def _agenerate(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
stream: Optional[bool] = None,
**kwargs: Any,
) -> ChatResult:
should_stream = stream if stream is not None else self.streaming
if should_stream:
stream_iter = self._astream(
messages, stop=stop, run_manager=run_manager, **kwargs
)
return await agenerate_from_stream(stream_iter)
message_dicts, params = self._create_message_dicts(messages, stop)
params = {
**params,
**({"stream": stream} if stream is not None else {}),
**kwargs,
}
response = await self.async_client.acreate(messages=message_dicts, **params)
return self._create_chat_result(response)
@property
def _identifying_params(self) -> Dict[str, Any]:
"""Get the identifying parameters."""
return {"model_name": self.model_name, **self._default_params}
def _get_invocation_params(
self, stop: Optional[List[str]] = None, **kwargs: Any
) -> Dict[str, Any]:
"""Get the parameters used to invoke the model."""
return {
"model": self.model_name,
**super()._get_invocation_params(stop=stop),
**self._default_params,
**kwargs,
}
@property
def _llm_type(self) -> str:
"""Return type of chat model."""
return "fireworks-chat"
@deprecated(
since="0.2.1",
alternative="langchain_fireworks.chat_models.ChatFireworks.bind_tools",
removal="1.0.0",
)
def bind_functions(
self,
functions: Sequence[Union[Dict[str, Any], Type[BaseModel], Callable, BaseTool]],
function_call: Optional[
Union[_FunctionCall, str, Literal["auto", "none"]]
] = None,
**kwargs: Any,
) -> Runnable[LanguageModelInput, BaseMessage]:
"""Bind functions (and other objects) to this chat model.
Assumes model is compatible with Fireworks function-calling API.
NOTE: Using bind_tools is recommended instead, as the `functions` and
`function_call` request parameters are officially marked as deprecated by
Fireworks.
Args:
functions: A list of function definitions to bind to this chat model.
Can be a dictionary, pydantic model, or callable. Pydantic
models and callables will be automatically converted to
their schema dictionary representation.
function_call: Which function to require the model to call.
Must be the name of the single provided function or
"auto" to automatically determine which function to call
(if any).
**kwargs: Any additional parameters to pass to the
:class:`~langchain.runnable.Runnable` constructor.
"""
formatted_functions = [convert_to_openai_function(fn) for fn in functions]
if function_call is not None:
function_call = (
{"name": function_call}
if isinstance(function_call, str)
and function_call not in ("auto", "none")
else function_call
)
if isinstance(function_call, dict) and len(formatted_functions) != 1:
raise ValueError(
"When specifying `function_call`, you must provide exactly one "
"function."
)
if (
isinstance(function_call, dict)
and formatted_functions[0]["name"] != function_call["name"]
):
raise ValueError(
f"Function call {function_call} was specified, but the only "
f"provided function was {formatted_functions[0]['name']}."
)
kwargs = {**kwargs, "function_call": function_call}
return super().bind(
functions=formatted_functions,
**kwargs,
)
def bind_tools(
self,
tools: Sequence[Union[Dict[str, Any], Type[BaseModel], Callable, BaseTool]],
*,
tool_choice: Optional[
Union[dict, str, Literal["auto", "any", "none"], bool]
] = None,
**kwargs: Any,
) -> Runnable[LanguageModelInput, BaseMessage]:
"""Bind tool-like objects to this chat model.
Assumes model is compatible with Fireworks tool-calling API.
Args:
tools: A list of tool definitions to bind to this chat model.
Supports any tool definition handled by
:meth:`langchain_core.utils.function_calling.convert_to_openai_tool`.
tool_choice: Which tool to require the model to call.
Must be the name of the single provided function,
"auto" to automatically determine which function to call
with the option to not call any function, "any" to enforce that some
function is called, or a dict of the form:
{"type": "function", "function": {"name": <<tool_name>>}}.
**kwargs: Any additional parameters to pass to
:meth:`~langchain_fireworks.chat_models.ChatFireworks.bind`
"""
formatted_tools = [convert_to_openai_tool(tool) for tool in tools]
if tool_choice is not None and tool_choice:
if isinstance(tool_choice, str) and (
tool_choice not in ("auto", "any", "none")
):
tool_choice = {"type": "function", "function": {"name": tool_choice}}
if isinstance(tool_choice, bool):
if len(tools) > 1:
raise ValueError(
"tool_choice can only be True when there is one tool. Received "
f"{len(tools)} tools."
)
tool_name = formatted_tools[0]["function"]["name"]
tool_choice = {
"type": "function",
"function": {"name": tool_name},
}
kwargs["tool_choice"] = tool_choice
return super().bind(tools=formatted_tools, **kwargs)
def with_structured_output(
self,
schema: Optional[Union[Dict, Type[BaseModel]]] = None,
*,
method: Literal["function_calling", "json_mode"] = "function_calling",
include_raw: bool = False,
**kwargs: Any,
) -> Runnable[LanguageModelInput, Union[Dict, BaseModel]]:
"""Model wrapper that returns outputs formatted to match the given schema.
Args:
schema:
The output schema. Can be passed in as:
- an OpenAI function/tool schema,
- a JSON Schema,
- a TypedDict class (support added in 0.1.7),
- or a Pydantic class.
If ``schema`` is a Pydantic class then the model output will be a
Pydantic instance of that class, and the model-generated fields will be
validated by the Pydantic class. Otherwise the model output will be a
dict and will not be validated. See :meth:`langchain_core.utils.function_calling.convert_to_openai_tool`
for more on how to properly specify types and descriptions of
schema fields when specifying a Pydantic or TypedDict class.
.. versionchanged:: 0.1.7
Added support for TypedDict class.
method:
The method for steering model generation, either "function_calling"
or "json_mode". If "function_calling" then the schema will be converted
to an OpenAI function and the returned model will make use of the
function-calling API. If "json_mode" then OpenAI's JSON mode will be
used. Note that if using "json_mode" then you must include instructions
for formatting the output into the desired schema into the model call.
include_raw:
If False then only the parsed structured output is returned. If
an error occurs during model output parsing it will be raised. If True
then both the raw model response (a BaseMessage) and the parsed model
response will be returned. If an error occurs during output parsing it
will be caught and returned as well. The final output is always a dict
with keys "raw", "parsed", and "parsing_error".
Returns:
A Runnable that takes same inputs as a :class:`langchain_core.language_models.chat.BaseChatModel`.
If ``include_raw`` is False and ``schema`` is a Pydantic class, Runnable outputs
an instance of ``schema`` (i.e., a Pydantic object).
Otherwise, if ``include_raw`` is False then Runnable outputs a dict.
If ``include_raw`` is True, then Runnable outputs a dict with keys:
- ``"raw"``: BaseMessage
- ``"parsed"``: None if there was a parsing error, otherwise the type depends on the ``schema`` as described above.
- ``"parsing_error"``: Optional[BaseException]
Example: schema=Pydantic class, method="function_calling", include_raw=False:
.. code-block:: python
from typing import Optional
from langchain_fireworks import ChatFireworks
from pydantic import BaseModel, Field
class AnswerWithJustification(BaseModel):
'''An answer to the user question along with justification for the answer.'''
answer: str
# If we provide default values and/or descriptions for fields, these will be passed
# to the model. This is an important part of improving a model's ability to
# correctly return structured outputs.
justification: Optional[str] = Field(
default=None, description="A justification for the answer."
)
llm = ChatFireworks(model="accounts/fireworks/models/firefunction-v1", temperature=0)
structured_llm = llm.with_structured_output(AnswerWithJustification)
structured_llm.invoke(
"What weighs more a pound of bricks or a pound of feathers"
)
# -> AnswerWithJustification(
# answer='They weigh the same',
# justification='Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume or density of the objects may differ.'
# )
Example: schema=Pydantic class, method="function_calling", include_raw=True:
.. code-block:: python
from langchain_fireworks import ChatFireworks
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
'''An answer to the user question along with justification for the answer.'''
answer: str
justification: str
llm = ChatFireworks(model="accounts/fireworks/models/firefunction-v1", temperature=0)
structured_llm = llm.with_structured_output(
AnswerWithJustification, include_raw=True
)
structured_llm.invoke(
"What weighs more a pound of bricks or a pound of feathers"
)
# -> {
# 'raw': AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_Ao02pnFYXD6GN1yzc0uXPsvF', 'function': {'arguments': '{"answer":"They weigh the same.","justification":"Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume or density of the objects may differ."}', 'name': 'AnswerWithJustification'}, 'type': 'function'}]}),
# 'parsed': AnswerWithJustification(answer='They weigh the same.', justification='Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume or density of the objects may differ.'),
# 'parsing_error': None
# }
Example: schema=TypedDict class, method="function_calling", include_raw=False:
.. code-block:: python
# IMPORTANT: If you are using Python <=3.8, you need to import Annotated
# from typing_extensions, not from typing.
from typing_extensions import Annotated, TypedDict
from langchain_fireworks import ChatFireworks
class AnswerWithJustification(TypedDict):
'''An answer to the user question along with justification for the answer.'''
answer: str
justification: Annotated[
Optional[str], None, "A justification for the answer."
]
llm = ChatFireworks(model="accounts/fireworks/models/firefunction-v1", temperature=0)
structured_llm = llm.with_structured_output(AnswerWithJustification)
structured_llm.invoke(
"What weighs more a pound of bricks or a pound of feathers"
)
# -> {
# 'answer': 'They weigh the same',
# 'justification': 'Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume and density of the two substances differ.'
# }
Example: schema=OpenAI function schema, method="function_calling", include_raw=False:
.. code-block:: python
from langchain_fireworks import ChatFireworks
oai_schema = {
'name': 'AnswerWithJustification',
'description': 'An answer to the user question along with justification for the answer.',
'parameters': {
'type': 'object',
'properties': {
'answer': {'type': 'string'},
'justification': {'description': 'A justification for the answer.', 'type': 'string'}
},
'required': ['answer']
}
}
llm = ChatFireworks(model="accounts/fireworks/models/firefunction-v1", temperature=0)
structured_llm = llm.with_structured_output(oai_schema)
structured_llm.invoke(
"What weighs more a pound of bricks or a pound of feathers"
)
# -> {
# 'answer': 'They weigh the same',
# 'justification': 'Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume and density of the two substances differ.'
# }
Example: schema=Pydantic class, method="json_mode", include_raw=True:
.. code-block::
from langchain_fireworks import ChatFireworks
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
answer: str
justification: str
llm = ChatFireworks(model="accounts/fireworks/models/firefunction-v1", temperature=0)
structured_llm = llm.with_structured_output(
AnswerWithJustification,
method="json_mode",
include_raw=True
)
structured_llm.invoke(
"Answer the following question. "
"Make sure to return a JSON blob with keys 'answer' and 'justification'.\n\n"
"What's heavier a pound of bricks or a pound of feathers?"
)
# -> {
# 'raw': AIMessage(content='{\n "answer": "They are both the same weight.",\n "justification": "Both a pound of bricks and a pound of feathers weigh one pound. The difference lies in the volume and density of the materials, not the weight." \n}'),
# 'parsed': AnswerWithJustification(answer='They are both the same weight.', justification='Both a pound of bricks and a pound of feathers weigh one pound. The difference lies in the volume and density of the materials, not the weight.'),
# 'parsing_error': None
# }
Example: schema=None, method="json_mode", include_raw=True:
.. code-block::
structured_llm = llm.with_structured_output(method="json_mode", include_raw=True)
structured_llm.invoke(
"Answer the following question. "
"Make sure to return a JSON blob with keys 'answer' and 'justification'.\n\n"
"What's heavier a pound of bricks or a pound of feathers?"
)
# -> {
# 'raw': AIMessage(content='{\n "answer": "They are both the same weight.",\n "justification": "Both a pound of bricks and a pound of feathers weigh one pound. The difference lies in the volume and density of the materials, not the weight." \n}'),
# 'parsed': {
# 'answer': 'They are both the same weight.',
# 'justification': 'Both a pound of bricks and a pound of feathers weigh one pound. The difference lies in the volume and density of the materials, not the weight.'
# },
# 'parsing_error': None
# }
""" # noqa: E501
if kwargs:
raise ValueError(f"Received unsupported arguments {kwargs}")
is_pydantic_schema = _is_pydantic_class(schema)
if method == "function_calling":
if schema is None:
raise ValueError(
"schema must be specified when method is 'function_calling'. "
"Received None."
)
tool_name = convert_to_openai_tool(schema)["function"]["name"]
llm = self.bind_tools([schema], tool_choice=tool_name)
if is_pydantic_schema:
output_parser: OutputParserLike = PydanticToolsParser(
tools=[schema], # type: ignore[list-item]
first_tool_only=True, # type: ignore[list-item]
)
else:
output_parser = JsonOutputKeyToolsParser(
key_name=tool_name, first_tool_only=True
)
elif method == "json_mode":
llm = self.bind(response_format={"type": "json_object"})
output_parser = (
PydanticOutputParser(pydantic_object=schema) # type: ignore[type-var, arg-type]
if is_pydantic_schema
else JsonOutputParser()
)
else:
raise ValueError(
f"Unrecognized method argument. Expected one of 'function_calling' or "
f"'json_mode'. Received: '{method}'"
)
if include_raw:
parser_assign = RunnablePassthrough.assign(
parsed=itemgetter("raw") | output_parser, parsing_error=lambda _: None
)
parser_none = RunnablePassthrough.assign(parsed=lambda _: None)
parser_with_fallback = parser_assign.with_fallbacks(
[parser_none], exception_key="parsing_error"
)
return RunnableMap(raw=llm) | parser_with_fallback
else:
return llm | output_parser
def _is_pydantic_class(obj: Any) -> bool:
return isinstance(obj, type) and is_basemodel_subclass(obj)
def _lc_tool_call_to_fireworks_tool_call(tool_call: ToolCall) -> dict:
return {
"type": "function",
"id": tool_call["id"],
"function": {
"name": tool_call["name"],
"arguments": json.dumps(tool_call["args"]),
},
}
def _lc_invalid_tool_call_to_fireworks_tool_call(
invalid_tool_call: InvalidToolCall,
) -> dict:
return {
"type": "function",
"id": invalid_tool_call["id"],
"function": {
"name": invalid_tool_call["name"],
"arguments": invalid_tool_call["args"],
},
}
|
0 | lc_public_repos/langchain/libs/partners/fireworks | lc_public_repos/langchain/libs/partners/fireworks/langchain_fireworks/embeddings.py | from typing import List
from langchain_core.embeddings import Embeddings
from langchain_core.utils import secret_from_env
from openai import OpenAI
from pydantic import BaseModel, ConfigDict, Field, SecretStr, model_validator
from typing_extensions import Self
# type: ignore
class FireworksEmbeddings(BaseModel, Embeddings):
"""Fireworks embedding model integration.
Setup:
Install ``langchain_fireworks`` and set environment variable
``FIREWORKS_API_KEY``.
.. code-block:: bash
pip install -U langchain_fireworks
export FIREWORKS_API_KEY="your-api-key"
Key init args — completion params:
model: str
Name of Fireworks model to use.
Key init args — client params:
fireworks_api_key: SecretStr
Fireworks API key.
See full list of supported init args and their descriptions in the params section.
Instantiate:
.. code-block:: python
from langchain_fireworks import FireworksEmbeddings
model = FireworksEmbeddings(
model='nomic-ai/nomic-embed-text-v1.5'
# Use FIREWORKS_API_KEY env var or pass it in directly
# fireworks_api_key="..."
)
Embed multiple texts:
.. code-block:: python
vectors = embeddings.embed_documents(['hello', 'goodbye'])
# Showing only the first 3 coordinates
print(len(vectors))
print(vectors[0][:3])
.. code-block:: python
2
[-0.024603435769677162, -0.007543657906353474, 0.0039630369283258915]
Embed single text:
.. code-block:: python
input_text = "The meaning of life is 42"
vector = embeddings.embed_query('hello')
print(vector[:3])
.. code-block:: python
[-0.024603435769677162, -0.007543657906353474, 0.0039630369283258915]
"""
client: OpenAI = Field(default=None, exclude=True) #: :meta private:
fireworks_api_key: SecretStr = Field(
alias="api_key",
default_factory=secret_from_env(
"FIREWORKS_API_KEY",
default="",
),
)
"""Fireworks API key.
Automatically read from env variable `FIREWORKS_API_KEY` if not provided.
"""
model: str = "nomic-ai/nomic-embed-text-v1.5"
model_config = ConfigDict(
populate_by_name=True,
arbitrary_types_allowed=True,
)
@model_validator(mode="after")
def validate_environment(self) -> Self:
"""Validate environment variables."""
self.client = OpenAI(
api_key=self.fireworks_api_key.get_secret_value(),
base_url="https://api.fireworks.ai/inference/v1",
)
return self
def embed_documents(self, texts: List[str]) -> List[List[float]]:
"""Embed search docs."""
return [
i.embedding
for i in self.client.embeddings.create(input=texts, model=self.model).data
]
def embed_query(self, text: str) -> List[float]:
"""Embed query text."""
return self.embed_documents([text])[0]
|
0 | lc_public_repos/langchain/libs/partners/fireworks | lc_public_repos/langchain/libs/partners/fireworks/langchain_fireworks/__init__.py | from langchain_fireworks.chat_models import ChatFireworks
from langchain_fireworks.embeddings import FireworksEmbeddings
from langchain_fireworks.llms import Fireworks
from langchain_fireworks.version import __version__
__all__ = [
"__version__",
"ChatFireworks",
"Fireworks",
"FireworksEmbeddings",
]
|
0 | lc_public_repos/langchain/libs/partners/fireworks | lc_public_repos/langchain/libs/partners/fireworks/scripts/lint_imports.sh | #!/bin/bash
set -eu
# Initialize a variable to keep track of errors
errors=0
# make sure not importing from langchain or langchain_experimental
git --no-pager grep '^from langchain\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1))
# Decide on an exit status based on the errors
if [ "$errors" -gt 0 ]; then
exit 1
else
exit 0
fi
|
0 | lc_public_repos/langchain/libs/partners/fireworks | lc_public_repos/langchain/libs/partners/fireworks/scripts/check_imports.py | import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_faillure = True
print(file) # noqa: T201
traceback.print_exc()
print() # noqa: T201
sys.exit(1 if has_failure else 0)
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/couchbase/Makefile | .PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_test integration_tests: TEST_FILE = tests/integration_tests/
# unit tests are run with the --disable-socket flag to prevent network calls
test tests:
poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE)
test_watch:
poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE)
# integration tests are run without the --disable-socket flag to allow network calls
integration_test integration_tests:
poetry run pytest $(TEST_FILE)
######################
# LINTING AND FORMATTING
######################
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/couchbase --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langchain_couchbase
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)
spell_check:
poetry run codespell --toml pyproject.toml
spell_fix:
poetry run codespell --toml pyproject.toml -w
check_imports: $(shell find langchain_couchbase -name '*.py')
poetry run python ./scripts/check_imports.py $^
######################
# HELP
######################
help:
@echo '----'
@echo 'check_imports - check imports'
@echo 'format - run code formatters'
@echo 'lint - run linters'
@echo 'test - run unit tests'
@echo 'tests - run unit tests'
@echo 'test TEST_FILE=<test_file> - run all tests in file'
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/couchbase/LICENSE | MIT License
Copyright (c) 2024 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/couchbase/poetry.lock | # This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
version = "2.4.3"
description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
files = [
{file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
{file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
]
[[package]]
name = "aiohttp"
version = "3.11.7"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.9"
files = [
{file = "aiohttp-3.11.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8bedb1f6cb919af3b6353921c71281b1491f948ca64408871465d889b4ee1b66"},
{file = "aiohttp-3.11.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f5022504adab881e2d801a88b748ea63f2a9d130e0b2c430824682a96f6534be"},
{file = "aiohttp-3.11.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e22d1721c978a6494adc824e0916f9d187fa57baeda34b55140315fa2f740184"},
{file = "aiohttp-3.11.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e993676c71288618eb07e20622572b1250d8713e7e00ab3aabae28cb70f3640d"},
{file = "aiohttp-3.11.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e13a05db87d3b241c186d0936808d0e4e12decc267c617d54e9c643807e968b6"},
{file = "aiohttp-3.11.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4ba8d043fed7ffa117024d7ba66fdea011c0e7602327c6d73cacaea38abe4491"},
{file = "aiohttp-3.11.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dda3ed0a7869d2fa16aa41f9961ade73aa2c2e3b2fcb0a352524e7b744881889"},
{file = "aiohttp-3.11.7-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:43bfd25113c1e98aec6c70e26d5f4331efbf4aa9037ba9ad88f090853bf64d7f"},
{file = "aiohttp-3.11.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:3dd3e7e7c9ef3e7214f014f1ae260892286647b3cf7c7f1b644a568fd410f8ca"},
{file = "aiohttp-3.11.7-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:78c657ece7a73b976905ab9ec8be9ef2df12ed8984c24598a1791c58ce3b4ce4"},
{file = "aiohttp-3.11.7-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:db70a47987e34494b451a334605bee57a126fe8d290511349e86810b4be53b01"},
{file = "aiohttp-3.11.7-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:9e67531370a3b07e49b280c1f8c2df67985c790ad2834d1b288a2f13cd341c5f"},
{file = "aiohttp-3.11.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9202f184cc0582b1db15056f2225ab4c1e3dac4d9ade50dd0613ac3c46352ac2"},
{file = "aiohttp-3.11.7-cp310-cp310-win32.whl", hash = "sha256:2257bdd5cf54a4039a4337162cd8048f05a724380a2283df34620f55d4e29341"},
{file = "aiohttp-3.11.7-cp310-cp310-win_amd64.whl", hash = "sha256:b7215bf2b53bc6cb35808149980c2ae80a4ae4e273890ac85459c014d5aa60ac"},
{file = "aiohttp-3.11.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:cea52d11e02123f125f9055dfe0ccf1c3857225fb879e4a944fae12989e2aef2"},
{file = "aiohttp-3.11.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3ce18f703b7298e7f7633efd6a90138d99a3f9a656cb52c1201e76cb5d79cf08"},
{file = "aiohttp-3.11.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:670847ee6aeb3a569cd7cdfbe0c3bec1d44828bbfbe78c5d305f7f804870ef9e"},
{file = "aiohttp-3.11.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4dda726f89bfa5c465ba45b76515135a3ece0088dfa2da49b8bb278f3bdeea12"},
{file = "aiohttp-3.11.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c25b74a811dba37c7ea6a14d99eb9402d89c8d739d50748a75f3cf994cf19c43"},
{file = "aiohttp-3.11.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5522ee72f95661e79db691310290c4618b86dff2d9b90baedf343fd7a08bf79"},
{file = "aiohttp-3.11.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1fbf41a6bbc319a7816ae0f0177c265b62f2a59ad301a0e49b395746eb2a9884"},
{file = "aiohttp-3.11.7-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:59ee1925b5a5efdf6c4e7be51deee93984d0ac14a6897bd521b498b9916f1544"},
{file = "aiohttp-3.11.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:24054fce8c6d6f33a3e35d1c603ef1b91bbcba73e3f04a22b4f2f27dac59b347"},
{file = "aiohttp-3.11.7-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:351849aca2c6f814575c1a485c01c17a4240413f960df1bf9f5deb0003c61a53"},
{file = "aiohttp-3.11.7-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:12724f3a211fa243570e601f65a8831372caf1a149d2f1859f68479f07efec3d"},
{file = "aiohttp-3.11.7-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:7ea4490360b605804bea8173d2d086b6c379d6bb22ac434de605a9cbce006e7d"},
{file = "aiohttp-3.11.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e0bf378db07df0a713a1e32381a1b277e62ad106d0dbe17b5479e76ec706d720"},
{file = "aiohttp-3.11.7-cp311-cp311-win32.whl", hash = "sha256:cd8d62cab363dfe713067027a5adb4907515861f1e4ce63e7be810b83668b847"},
{file = "aiohttp-3.11.7-cp311-cp311-win_amd64.whl", hash = "sha256:bf0e6cce113596377cadda4e3ac5fb89f095bd492226e46d91b4baef1dd16f60"},
{file = "aiohttp-3.11.7-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:4bb7493c3e3a36d3012b8564bd0e2783259ddd7ef3a81a74f0dbfa000fce48b7"},
{file = "aiohttp-3.11.7-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:e143b0ef9cb1a2b4f74f56d4fbe50caa7c2bb93390aff52f9398d21d89bc73ea"},
{file = "aiohttp-3.11.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f7c58a240260822dc07f6ae32a0293dd5bccd618bb2d0f36d51c5dbd526f89c0"},
{file = "aiohttp-3.11.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8d20cfe63a1c135d26bde8c1d0ea46fd1200884afbc523466d2f1cf517d1fe33"},
{file = "aiohttp-3.11.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12e4d45847a174f77b2b9919719203769f220058f642b08504cf8b1cf185dacf"},
{file = "aiohttp-3.11.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cf4efa2d01f697a7dbd0509891a286a4af0d86902fc594e20e3b1712c28c0106"},
{file = "aiohttp-3.11.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ee6a4cdcbf54b8083dc9723cdf5f41f722c00db40ccf9ec2616e27869151129"},
{file = "aiohttp-3.11.7-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c6095aaf852c34f42e1bd0cf0dc32d1e4b48a90bfb5054abdbb9d64b36acadcb"},
{file = "aiohttp-3.11.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1cf03d27885f8c5ebf3993a220cc84fc66375e1e6e812731f51aab2b2748f4a6"},
{file = "aiohttp-3.11.7-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:1a17f6a230f81eb53282503823f59d61dff14fb2a93847bf0399dc8e87817307"},
{file = "aiohttp-3.11.7-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:481f10a1a45c5f4c4a578bbd74cff22eb64460a6549819242a87a80788461fba"},
{file = "aiohttp-3.11.7-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:db37248535d1ae40735d15bdf26ad43be19e3d93ab3f3dad8507eb0f85bb8124"},
{file = "aiohttp-3.11.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9d18a8b44ec8502a7fde91446cd9c9b95ce7c49f1eacc1fb2358b8907d4369fd"},
{file = "aiohttp-3.11.7-cp312-cp312-win32.whl", hash = "sha256:3d1c9c15d3999107cbb9b2d76ca6172e6710a12fda22434ee8bd3f432b7b17e8"},
{file = "aiohttp-3.11.7-cp312-cp312-win_amd64.whl", hash = "sha256:018f1b04883a12e77e7fc161934c0f298865d3a484aea536a6a2ca8d909f0ba0"},
{file = "aiohttp-3.11.7-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:241a6ca732d2766836d62c58c49ca7a93d08251daef0c1e3c850df1d1ca0cbc4"},
{file = "aiohttp-3.11.7-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:aa3705a8d14de39898da0fbad920b2a37b7547c3afd2a18b9b81f0223b7d0f68"},
{file = "aiohttp-3.11.7-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9acfc7f652b31853eed3b92095b0acf06fd5597eeea42e939bd23a17137679d5"},
{file = "aiohttp-3.11.7-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcefcf2915a2dbdbce37e2fc1622129a1918abfe3d06721ce9f6cdac9b6d2eaa"},
{file = "aiohttp-3.11.7-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c1f6490dd1862af5aae6cfcf2a274bffa9a5b32a8f5acb519a7ecf5a99a88866"},
{file = "aiohttp-3.11.7-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f1ac5462582d6561c1c1708853a9faf612ff4e5ea5e679e99be36143d6eabd8e"},
{file = "aiohttp-3.11.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c1a6309005acc4b2bcc577ba3b9169fea52638709ffacbd071f3503264620da"},
{file = "aiohttp-3.11.7-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f5b973cce96793725ef63eb449adfb74f99c043c718acb76e0d2a447ae369962"},
{file = "aiohttp-3.11.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ce91a24aac80de6be8512fb1c4838a9881aa713f44f4e91dd7bb3b34061b497d"},
{file = "aiohttp-3.11.7-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:875f7100ce0e74af51d4139495eec4025affa1a605280f23990b6434b81df1bd"},
{file = "aiohttp-3.11.7-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c171fc35d3174bbf4787381716564042a4cbc008824d8195eede3d9b938e29a8"},
{file = "aiohttp-3.11.7-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:ee9afa1b0d2293c46954f47f33e150798ad68b78925e3710044e0d67a9487791"},
{file = "aiohttp-3.11.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8360c7cc620abb320e1b8d603c39095101391a82b1d0be05fb2225471c9c5c52"},
{file = "aiohttp-3.11.7-cp313-cp313-win32.whl", hash = "sha256:7a9318da4b4ada9a67c1dd84d1c0834123081e746bee311a16bb449f363d965e"},
{file = "aiohttp-3.11.7-cp313-cp313-win_amd64.whl", hash = "sha256:fc6da202068e0a268e298d7cd09b6e9f3997736cd9b060e2750963754552a0a9"},
{file = "aiohttp-3.11.7-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:17829f37c0d31d89aa6b8b010475a10233774771f9b6dc2cc352ea4f8ce95d9a"},
{file = "aiohttp-3.11.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d6177077a31b1aecfc3c9070bd2f11419dbb4a70f30f4c65b124714f525c2e48"},
{file = "aiohttp-3.11.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:badda65ac99555791eed75e234afb94686ed2317670c68bff8a4498acdaee935"},
{file = "aiohttp-3.11.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0de6466b9d742b4ee56fe1b2440706e225eb48c77c63152b1584864a236e7a50"},
{file = "aiohttp-3.11.7-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:04b0cc74d5a882c9dacaeeccc1444f0233212b6f5be8bc90833feef1e1ce14b9"},
{file = "aiohttp-3.11.7-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c7af3e50e5903d21d7b935aceed901cc2475463bc16ddd5587653548661fdb"},
{file = "aiohttp-3.11.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c63f898f683d1379b9be5afc3dd139e20b30b0b1e0bf69a3fc3681f364cf1629"},
{file = "aiohttp-3.11.7-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fdadc3f6a32d6eca45f9a900a254757fd7855dfb2d8f8dcf0e88f0fae3ff8eb1"},
{file = "aiohttp-3.11.7-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:d329300fb23e14ed1f8c6d688dfd867d1dcc3b1d7cd49b7f8c5b44e797ce0932"},
{file = "aiohttp-3.11.7-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:5578cf40440eafcb054cf859964bc120ab52ebe0e0562d2b898126d868749629"},
{file = "aiohttp-3.11.7-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:7b2f8107a3c329789f3c00b2daad0e35f548d0a55cda6291579136622099a46e"},
{file = "aiohttp-3.11.7-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:43dd89a6194f6ab02a3fe36b09e42e2df19c211fc2050ce37374d96f39604997"},
{file = "aiohttp-3.11.7-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d2fa6fc7cc865d26ff42480ac9b52b8c9b7da30a10a6442a9cdf429de840e949"},
{file = "aiohttp-3.11.7-cp39-cp39-win32.whl", hash = "sha256:a7d9a606355655617fee25dd7e54d3af50804d002f1fd3118dd6312d26692d70"},
{file = "aiohttp-3.11.7-cp39-cp39-win_amd64.whl", hash = "sha256:53c921b58fdc6485d6b2603e0132bb01cd59b8f0620ffc0907f525e0ba071687"},
{file = "aiohttp-3.11.7.tar.gz", hash = "sha256:01a8aca4af3da85cea5c90141d23f4b0eee3cbecfd33b029a45a80f28c66c668"},
]
[package.dependencies]
aiohappyeyeballs = ">=2.3.0"
aiosignal = ">=1.1.2"
async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
attrs = ">=17.3.0"
frozenlist = ">=1.1.1"
multidict = ">=4.5,<7.0"
propcache = ">=0.2.0"
yarl = ">=1.17.0,<2.0"
[package.extras]
speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
[[package]]
name = "aiosignal"
version = "1.3.1"
description = "aiosignal: a list of registered asynchronous callbacks"
optional = false
python-versions = ">=3.7"
files = [
{file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
{file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
]
[package.dependencies]
frozenlist = ">=1.1.0"
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
[[package]]
name = "anyio"
version = "4.6.2.post1"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.9"
files = [
{file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
{file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
]
[package.dependencies]
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
idna = ">=2.8"
sniffio = ">=1.1"
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras]
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
trio = ["trio (>=0.26.1)"]
[[package]]
name = "async-timeout"
version = "4.0.3"
description = "Timeout context manager for asyncio programs"
optional = false
python-versions = ">=3.7"
files = [
{file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
{file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
]
[[package]]
name = "attrs"
version = "24.2.0"
description = "Classes Without Boilerplate"
optional = false
python-versions = ">=3.7"
files = [
{file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
{file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
]
[package.extras]
benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
[[package]]
name = "certifi"
version = "2024.8.30"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
{file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
]
[[package]]
name = "charset-normalizer"
version = "3.4.0"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7.0"
files = [
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6"},
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b"},
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5ed2e36c3e9b4f21dd9422f6893dec0abf2cca553af509b10cd630f878d3eb99"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d3ff7fc90b98c637bda91c89d51264a3dcf210cade3a2c6f838c7268d7a4ca"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:86f4e8cca779080f66ff4f191a685ced73d2f72d50216f7112185dc02b90b9b7"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f683ddc7eedd742e2889d2bfb96d69573fde1d92fcb811979cdb7165bb9c7d3"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27623ba66c183eca01bf9ff833875b459cad267aeeb044477fedac35e19ba907"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f606a1881d2663630ea5b8ce2efe2111740df4b687bd78b34a8131baa007f79b"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:79983512b108e4a164b9c8d34de3992f76d48cadc9554c9e60b43f308988aabe"},
{file = "charset_normalizer-3.4.0-cp310-cp310-win32.whl", hash = "sha256:c94057af19bc953643a33581844649a7fdab902624d2eb739738a30e2b3e60fc"},
{file = "charset_normalizer-3.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:55f56e2ebd4e3bc50442fbc0888c9d8c94e4e06a933804e2af3e89e2f9c1c749"},
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0d99dd8ff461990f12d6e42c7347fd9ab2532fb70e9621ba520f9e8637161d7c"},
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c57516e58fd17d03ebe67e181a4e4e2ccab1168f8c2976c6a334d4f819fe5944"},
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6dba5d19c4dfab08e58d5b36304b3f92f3bd5d42c1a3fa37b5ba5cdf6dfcbcee"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf4475b82be41b07cc5e5ff94810e6a01f276e37c2d55571e3fe175e467a1a1c"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce031db0408e487fd2775d745ce30a7cd2923667cf3b69d48d219f1d8f5ddeb6"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ff4e7cdfdb1ab5698e675ca622e72d58a6fa2a8aa58195de0c0061288e6e3ea"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3710a9751938947e6327ea9f3ea6332a09bf0ba0c09cae9cb1f250bd1f1549bc"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82357d85de703176b5587dbe6ade8ff67f9f69a41c0733cf2425378b49954de5"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:47334db71978b23ebcf3c0f9f5ee98b8d65992b65c9c4f2d34c2eaf5bcaf0594"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8ce7fd6767a1cc5a92a639b391891bf1c268b03ec7e021c7d6d902285259685c"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:f1a2f519ae173b5b6a2c9d5fa3116ce16e48b3462c8b96dfdded11055e3d6365"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:63bc5c4ae26e4bc6be6469943b8253c0fd4e4186c43ad46e713ea61a0ba49129"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bcb4f8ea87d03bc51ad04add8ceaf9b0f085ac045ab4d74e73bbc2dc033f0236"},
{file = "charset_normalizer-3.4.0-cp311-cp311-win32.whl", hash = "sha256:9ae4ef0b3f6b41bad6366fb0ea4fc1d7ed051528e113a60fa2a65a9abb5b1d99"},
{file = "charset_normalizer-3.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cee4373f4d3ad28f1ab6290684d8e2ebdb9e7a1b74fdc39e4c211995f77bec27"},
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6"},
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:de7376c29d95d6719048c194a9cf1a1b0393fbe8488a22008610b0361d834ecf"},
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a51b48f42d9358460b78725283f04bddaf44a9358197b889657deba38f329db"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b295729485b06c1a0683af02a9e42d2caa9db04a373dc38a6a58cdd1e8abddf1"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee803480535c44e7f5ad00788526da7d85525cfefaf8acf8ab9a310000be4b03"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d59d125ffbd6d552765510e3f31ed75ebac2c7470c7274195b9161a32350284"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cda06946eac330cbe6598f77bb54e690b4ca93f593dee1568ad22b04f347c15"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6b40e8d38afe634559e398cc32b1472f376a4099c75fe6299ae607e404c033b2"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b8dcd239c743aa2f9c22ce674a145e0a25cb1566c495928440a181ca1ccf6719"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:84450ba661fb96e9fd67629b93d2941c871ca86fc38d835d19d4225ff946a631"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:44aeb140295a2f0659e113b31cfe92c9061622cadbc9e2a2f7b8ef6b1e29ef4b"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1db4e7fefefd0f548d73e2e2e041f9df5c59e178b4c72fbac4cc6f535cfb1565"},
{file = "charset_normalizer-3.4.0-cp312-cp312-win32.whl", hash = "sha256:5726cf76c982532c1863fb64d8c6dd0e4c90b6ece9feb06c9f202417a31f7dd7"},
{file = "charset_normalizer-3.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:b197e7094f232959f8f20541ead1d9862ac5ebea1d58e9849c1bf979255dfac9"},
{file = "charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:dd4eda173a9fcccb5f2e2bd2a9f423d180194b1bf17cf59e3269899235b2a114"},
{file = "charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e9e3c4c9e1ed40ea53acf11e2a386383c3304212c965773704e4603d589343ed"},
{file = "charset_normalizer-3.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:92a7e36b000bf022ef3dbb9c46bfe2d52c047d5e3f3343f43204263c5addc250"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54b6a92d009cbe2fb11054ba694bc9e284dad30a26757b1e372a1fdddaf21920"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ffd9493de4c922f2a38c2bf62b831dcec90ac673ed1ca182fe11b4d8e9f2a64"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35c404d74c2926d0287fbd63ed5d27eb911eb9e4a3bb2c6d294f3cfd4a9e0c23"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4796efc4faf6b53a18e3d46343535caed491776a22af773f366534056c4e1fbc"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e7fdd52961feb4c96507aa649550ec2a0d527c086d284749b2f582f2d40a2e0d"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:92db3c28b5b2a273346bebb24857fda45601aef6ae1c011c0a997106581e8a88"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ab973df98fc99ab39080bfb0eb3a925181454d7c3ac8a1e695fddfae696d9e90"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:4b67fdab07fdd3c10bb21edab3cbfe8cf5696f453afce75d815d9d7223fbe88b"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:aa41e526a5d4a9dfcfbab0716c7e8a1b215abd3f3df5a45cf18a12721d31cb5d"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ffc519621dce0c767e96b9c53f09c5d215578e10b02c285809f76509a3931482"},
{file = "charset_normalizer-3.4.0-cp313-cp313-win32.whl", hash = "sha256:f19c1585933c82098c2a520f8ec1227f20e339e33aca8fa6f956f6691b784e67"},
{file = "charset_normalizer-3.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:707b82d19e65c9bd28b81dde95249b07bf9f5b90ebe1ef17d9b57473f8a64b7b"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:dbe03226baf438ac4fda9e2d0715022fd579cb641c4cf639fa40d53b2fe6f3e2"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd9a8bd8900e65504a305bf8ae6fa9fbc66de94178c420791d0293702fce2df7"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8831399554b92b72af5932cdbbd4ddc55c55f631bb13ff8fe4e6536a06c5c51"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a14969b8691f7998e74663b77b4c36c0337cb1df552da83d5c9004a93afdb574"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dcaf7c1524c0542ee2fc82cc8ec337f7a9f7edee2532421ab200d2b920fc97cf"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:425c5f215d0eecee9a56cdb703203dda90423247421bf0d67125add85d0c4455"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:d5b054862739d276e09928de37c79ddeec42a6e1bfc55863be96a36ba22926f6"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:f3e73a4255342d4eb26ef6df01e3962e73aa29baa3124a8e824c5d3364a65748"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:2f6c34da58ea9c1a9515621f4d9ac379871a8f21168ba1b5e09d74250de5ad62"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_s390x.whl", hash = "sha256:f09cb5a7bbe1ecae6e87901a2eb23e0256bb524a79ccc53eb0b7629fbe7677c4"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:0099d79bdfcf5c1f0c2c72f91516702ebf8b0b8ddd8905f97a8aecf49712c621"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-win32.whl", hash = "sha256:9c98230f5042f4945f957d006edccc2af1e03ed5e37ce7c373f00a5a4daa6149"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-win_amd64.whl", hash = "sha256:62f60aebecfc7f4b82e3f639a7d1433a20ec32824db2199a11ad4f5e146ef5ee"},
{file = "charset_normalizer-3.4.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:af73657b7a68211996527dbfeffbb0864e043d270580c5aef06dc4b659a4b578"},
{file = "charset_normalizer-3.4.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:cab5d0b79d987c67f3b9e9c53f54a61360422a5a0bc075f43cab5621d530c3b6"},
{file = "charset_normalizer-3.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9289fd5dddcf57bab41d044f1756550f9e7cf0c8e373b8cdf0ce8773dc4bd417"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b493a043635eb376e50eedf7818f2f322eabbaa974e948bd8bdd29eb7ef2a51"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9fa2566ca27d67c86569e8c85297aaf413ffab85a8960500f12ea34ff98e4c41"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a8e538f46104c815be19c975572d74afb53f29650ea2025bbfaef359d2de2f7f"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fd30dc99682dc2c603c2b315bded2799019cea829f8bf57dc6b61efde6611c8"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2006769bd1640bdf4d5641c69a3d63b71b81445473cac5ded39740a226fa88ab"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:dc15e99b2d8a656f8e666854404f1ba54765871104e50c8e9813af8a7db07f12"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:ab2e5bef076f5a235c3774b4f4028a680432cded7cad37bba0fd90d64b187d19"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:4ec9dd88a5b71abfc74e9df5ebe7921c35cbb3b641181a531ca65cdb5e8e4dea"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:43193c5cda5d612f247172016c4bb71251c784d7a4d9314677186a838ad34858"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:aa693779a8b50cd97570e5a0f343538a8dbd3e496fa5dcb87e29406ad0299654"},
{file = "charset_normalizer-3.4.0-cp38-cp38-win32.whl", hash = "sha256:7706f5850360ac01d80c89bcef1640683cc12ed87f42579dab6c5d3ed6888613"},
{file = "charset_normalizer-3.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:c3e446d253bd88f6377260d07c895816ebf33ffffd56c1c792b13bff9c3e1ade"},
{file = "charset_normalizer-3.4.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:980b4f289d1d90ca5efcf07958d3eb38ed9c0b7676bf2831a54d4f66f9c27dfa"},
{file = "charset_normalizer-3.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f28f891ccd15c514a0981f3b9db9aa23d62fe1a99997512b0491d2ed323d229a"},
{file = "charset_normalizer-3.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8aacce6e2e1edcb6ac625fb0f8c3a9570ccc7bfba1f63419b3769ccf6a00ed0"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd7af3717683bea4c87acd8c0d3d5b44d56120b26fd3f8a692bdd2d5260c620a"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5ff2ed8194587faf56555927b3aa10e6fb69d931e33953943bc4f837dfee2242"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e91f541a85298cf35433bf66f3fab2a4a2cff05c127eeca4af174f6d497f0d4b"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:309a7de0a0ff3040acaebb35ec45d18db4b28232f21998851cfa709eeff49d62"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:285e96d9d53422efc0d7a17c60e59f37fbf3dfa942073f666db4ac71e8d726d0"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5d447056e2ca60382d460a604b6302d8db69476fd2015c81e7c35417cfabe4cd"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:20587d20f557fe189b7947d8e7ec5afa110ccf72a3128d61a2a387c3313f46be"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:130272c698667a982a5d0e626851ceff662565379baf0ff2cc58067b81d4f11d"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:ab22fbd9765e6954bc0bcff24c25ff71dcbfdb185fcdaca49e81bac68fe724d3"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:7782afc9b6b42200f7362858f9e73b1f8316afb276d316336c0ec3bd73312742"},
{file = "charset_normalizer-3.4.0-cp39-cp39-win32.whl", hash = "sha256:2de62e8801ddfff069cd5c504ce3bc9672b23266597d4e4f50eda28846c322f2"},
{file = "charset_normalizer-3.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:95c3c157765b031331dd4db3c775e58deaee050a3042fcad72cbc4189d7c8dca"},
{file = "charset_normalizer-3.4.0-py3-none-any.whl", hash = "sha256:fe9f97feb71aa9896b81973a7bbada8c49501dc73e58a10fcef6663af95e5079"},
{file = "charset_normalizer-3.4.0.tar.gz", hash = "sha256:223217c3d4f82c3ac5e29032b3f1c2eb0fb591b72161f86d93f5719079dae93e"},
]
[[package]]
name = "codespell"
version = "2.3.0"
description = "Codespell"
optional = false
python-versions = ">=3.8"
files = [
{file = "codespell-2.3.0-py3-none-any.whl", hash = "sha256:a9c7cef2501c9cfede2110fd6d4e5e62296920efe9abfb84648df866e47f58d1"},
{file = "codespell-2.3.0.tar.gz", hash = "sha256:360c7d10f75e65f67bad720af7007e1060a5d395670ec11a7ed1fed9dd17471f"},
]
[package.extras]
dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"]
hard-encoding-detection = ["chardet"]
toml = ["tomli"]
types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"]
[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "couchbase"
version = "4.3.4"
description = "Python Client for Couchbase"
optional = false
python-versions = ">=3.7"
files = [
{file = "couchbase-4.3.4-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:395e7b05495132a071dce5cdd84a3ec6e803205875f8ee22e85a89a16bb1b5f4"},
{file = "couchbase-4.3.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:263a18307d1f1a141b93ae370b19843b1160dd702559152aea19dd08768f59f5"},
{file = "couchbase-4.3.4-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:16751d4f3b0fe49666515ebed7967e8f38ec3862b329f773f88252acfd7c2b1f"},
{file = "couchbase-4.3.4-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4dcc7eb9f57825c0097785d1c042e146908d2883f5e733d4ca07ac548bb532a2"},
{file = "couchbase-4.3.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:42f16ca2ec636db9ecacd3b97db85c923be8374eaae2fe097124d8eb92b4293f"},
{file = "couchbase-4.3.4-cp310-cp310-win_amd64.whl", hash = "sha256:8eecc9cdead68efe4119ebe41b065dadf83bc1653ec56470800c5093e378cacc"},
{file = "couchbase-4.3.4-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:1a6d6c4542e4ffe223960553e057bc175cfcee3fe274f63551e9d90d7c2435c5"},
{file = "couchbase-4.3.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ae44db4ce78b691028075fc54beec2dc1a59829f53a2b282f9a8b3ea6b71ad22"},
{file = "couchbase-4.3.4-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:a175f1e447b9aeb7ab5aab66350261be28ad7d9a07fff9c7fe48c55828133ec3"},
{file = "couchbase-4.3.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:efb0170d5e7766593d47292c14a782e201f0167175f0e60cd7ba3b9acd75e349"},
{file = "couchbase-4.3.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3f7d9e0492727b8560d36f5cb45c2a6ec9507dd2120ddd6313fd21e04cfc2ab9"},
{file = "couchbase-4.3.4-cp311-cp311-win_amd64.whl", hash = "sha256:f32e9d87e5157b86af5de85200cab433690789551d2bda1b8e7a25bf2680d511"},
{file = "couchbase-4.3.4-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:395afab875aa3d293429cebc080cc12ac6e32c665275740d5a8445c688ad84ce"},
{file = "couchbase-4.3.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:852ff1e36668a9b0e0e4dc015df06e3a663bd5e0301a52c25b724969073a1a11"},
{file = "couchbase-4.3.4-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:79ab95992829de574e23588ce35fc14ab6f8a5fd378c046522a678b7583a9b29"},
{file = "couchbase-4.3.4-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:88827951b4132b89b6f37f1f2706b1e2f04870825c420e931c3caa770fc4a4e8"},
{file = "couchbase-4.3.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:d8f88c731d0d28132a992978aae5e1140a71276cc528ecc2ed408b2e386d1183"},
{file = "couchbase-4.3.4-cp312-cp312-win_amd64.whl", hash = "sha256:fb137358e249c752dbecb44393769696c07fd069eb976b2a9890ddd457d35fcb"},
{file = "couchbase-4.3.4-cp313-cp313-macosx_10_15_x86_64.whl", hash = "sha256:d3f84932dd2d26a06048fe0858be21f5c6907a304ce59d673d56691e6eda7626"},
{file = "couchbase-4.3.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f0975f9efeba9c425c2c73e5c3b6f3b4041cb61e1c5c0240c581454b0fc222fe"},
{file = "couchbase-4.3.4-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:43609d64306ac8be7c396c0395a140c8f6b5bbab889e4b943f1b0dd500e34568"},
{file = "couchbase-4.3.4-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c8a549126875e38a79f7f7d97094a482b3fd446c20266ddb5c274d6398be8477"},
{file = "couchbase-4.3.4-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:c1adc3c7cf411f1c61e2f9b4454719d25f7229594280d7dedc7a8c9c2da8189f"},
{file = "couchbase-4.3.4-cp313-cp313-win_amd64.whl", hash = "sha256:9b34b9599b29c2366e2943309c45c0666956e458848eb9b88a43a765afc8728c"},
{file = "couchbase-4.3.4-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:f9b9b5523fbc89189119eceea170c329cf02115e1eba59818faefb594b729520"},
{file = "couchbase-4.3.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e2cb01a0b567694a12abdb01f73392cf64cbc881e496e70b32f05f36ac50ca0f"},
{file = "couchbase-4.3.4-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:31eb077c2cd9694b933a8a18836c117f6682a220b33a767b3379934b540e6e1c"},
{file = "couchbase-4.3.4-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4ad97d9467485667f8ba2b644c5823bb53fb1799dca5a29b671258d6af719ca0"},
{file = "couchbase-4.3.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:51f50dd684e9894d5c8059ee6da5e9bc6e1a47ab3be103a3b299e7d01de02bab"},
{file = "couchbase-4.3.4-cp39-cp39-win_amd64.whl", hash = "sha256:1059b4358d1f1b69812f114d0c5a547f830ab9fb24bcd5076a05ceb4788adee1"},
{file = "couchbase-4.3.4.tar.gz", hash = "sha256:f195958606cf3a255fd96646ca3dd7e2ddcecf3664b3883826c7b89ef680088e"},
]
[[package]]
name = "exceptiongroup"
version = "1.2.2"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
{file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
]
[package.extras]
test = ["pytest (>=6)"]
[[package]]
name = "frozenlist"
version = "1.5.0"
description = "A list-like structure which implements collections.abc.MutableSequence"
optional = false
python-versions = ">=3.8"
files = [
{file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"},
{file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"},
{file = "frozenlist-1.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:15538c0cbf0e4fa11d1e3a71f823524b0c46299aed6e10ebb4c2089abd8c3bec"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e79225373c317ff1e35f210dd5f1344ff31066ba8067c307ab60254cd3a78ad5"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9272fa73ca71266702c4c3e2d4a28553ea03418e591e377a03b8e3659d94fa76"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:498524025a5b8ba81695761d78c8dd7382ac0b052f34e66939c42df860b8ff17"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:92b5278ed9d50fe610185ecd23c55d8b307d75ca18e94c0e7de328089ac5dcba"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f3c8c1dacd037df16e85227bac13cca58c30da836c6f936ba1df0c05d046d8d"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f2ac49a9bedb996086057b75bf93538240538c6d9b38e57c82d51f75a73409d2"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e66cc454f97053b79c2ab09c17fbe3c825ea6b4de20baf1be28919460dd7877f"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:5a3ba5f9a0dfed20337d3e966dc359784c9f96503674c2faf015f7fe8e96798c"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:6321899477db90bdeb9299ac3627a6a53c7399c8cd58d25da094007402b039ab"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:76e4753701248476e6286f2ef492af900ea67d9706a0155335a40ea21bf3b2f5"},
{file = "frozenlist-1.5.0-cp310-cp310-win32.whl", hash = "sha256:977701c081c0241d0955c9586ffdd9ce44f7a7795df39b9151cd9a6fd0ce4cfb"},
{file = "frozenlist-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:189f03b53e64144f90990d29a27ec4f7997d91ed3d01b51fa39d2dbe77540fd4"},
{file = "frozenlist-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:fd74520371c3c4175142d02a976aee0b4cb4a7cc912a60586ffd8d5929979b30"},
{file = "frozenlist-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2f3f7a0fbc219fb4455264cae4d9f01ad41ae6ee8524500f381de64ffaa077d5"},
{file = "frozenlist-1.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f47c9c9028f55a04ac254346e92977bf0f166c483c74b4232bee19a6697e4778"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0996c66760924da6e88922756d99b47512a71cfd45215f3570bf1e0b694c206a"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a2fe128eb4edeabe11896cb6af88fca5346059f6c8d807e3b910069f39157869"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1a8ea951bbb6cacd492e3948b8da8c502a3f814f5d20935aae74b5df2b19cf3d"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de537c11e4aa01d37db0d403b57bd6f0546e71a82347a97c6a9f0dcc532b3a45"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c2623347b933fcb9095841f1cc5d4ff0b278addd743e0e966cb3d460278840d"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:cee6798eaf8b1416ef6909b06f7dc04b60755206bddc599f52232606e18179d3"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:f5f9da7f5dbc00a604fe74aa02ae7c98bcede8a3b8b9666f9f86fc13993bc71a"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:90646abbc7a5d5c7c19461d2e3eeb76eb0b204919e6ece342feb6032c9325ae9"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:bdac3c7d9b705d253b2ce370fde941836a5f8b3c5c2b8fd70940a3ea3af7f4f2"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:03d33c2ddbc1816237a67f66336616416e2bbb6beb306e5f890f2eb22b959cdf"},
{file = "frozenlist-1.5.0-cp311-cp311-win32.whl", hash = "sha256:237f6b23ee0f44066219dae14c70ae38a63f0440ce6750f868ee08775073f942"},
{file = "frozenlist-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:0cc974cc93d32c42e7b0f6cf242a6bd941c57c61b618e78b6c0a96cb72788c1d"},
{file = "frozenlist-1.5.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:31115ba75889723431aa9a4e77d5f398f5cf976eea3bdf61749731f62d4a4a21"},
{file = "frozenlist-1.5.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7437601c4d89d070eac8323f121fcf25f88674627505334654fd027b091db09d"},
{file = "frozenlist-1.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7948140d9f8ece1745be806f2bfdf390127cf1a763b925c4a805c603df5e697e"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:feeb64bc9bcc6b45c6311c9e9b99406660a9c05ca8a5b30d14a78555088b0b3a"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:683173d371daad49cffb8309779e886e59c2f369430ad28fe715f66d08d4ab1a"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7d57d8f702221405a9d9b40f9da8ac2e4a1a8b5285aac6100f3393675f0a85ee"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:30c72000fbcc35b129cb09956836c7d7abf78ab5416595e4857d1cae8d6251a6"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:000a77d6034fbad9b6bb880f7ec073027908f1b40254b5d6f26210d2dab1240e"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:5d7f5a50342475962eb18b740f3beecc685a15b52c91f7d975257e13e029eca9"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:87f724d055eb4785d9be84e9ebf0f24e392ddfad00b3fe036e43f489fafc9039"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:6e9080bb2fb195a046e5177f10d9d82b8a204c0736a97a153c2466127de87784"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:9b93d7aaa36c966fa42efcaf716e6b3900438632a626fb09c049f6a2f09fc631"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:52ef692a4bc60a6dd57f507429636c2af8b6046db8b31b18dac02cbc8f507f7f"},
{file = "frozenlist-1.5.0-cp312-cp312-win32.whl", hash = "sha256:29d94c256679247b33a3dc96cce0f93cbc69c23bf75ff715919332fdbb6a32b8"},
{file = "frozenlist-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:8969190d709e7c48ea386db202d708eb94bdb29207a1f269bab1196ce0dcca1f"},
{file = "frozenlist-1.5.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:7a1a048f9215c90973402e26c01d1cff8a209e1f1b53f72b95c13db61b00f953"},
{file = "frozenlist-1.5.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:dd47a5181ce5fcb463b5d9e17ecfdb02b678cca31280639255ce9d0e5aa67af0"},
{file = "frozenlist-1.5.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1431d60b36d15cda188ea222033eec8e0eab488f39a272461f2e6d9e1a8e63c2"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6482a5851f5d72767fbd0e507e80737f9c8646ae7fd303def99bfe813f76cf7f"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:44c49271a937625619e862baacbd037a7ef86dd1ee215afc298a417ff3270608"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:12f78f98c2f1c2429d42e6a485f433722b0061d5c0b0139efa64f396efb5886b"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce3aa154c452d2467487765e3adc730a8c153af77ad84096bc19ce19a2400840"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9b7dc0c4338e6b8b091e8faf0db3168a37101943e687f373dce00959583f7439"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:45e0896250900b5aa25180f9aec243e84e92ac84bd4a74d9ad4138ef3f5c97de"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:561eb1c9579d495fddb6da8959fd2a1fca2c6d060d4113f5844b433fc02f2641"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:df6e2f325bfee1f49f81aaac97d2aa757c7646534a06f8f577ce184afe2f0a9e"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:140228863501b44b809fb39ec56b5d4071f4d0aa6d216c19cbb08b8c5a7eadb9"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7707a25d6a77f5d27ea7dc7d1fc608aa0a478193823f88511ef5e6b8a48f9d03"},
{file = "frozenlist-1.5.0-cp313-cp313-win32.whl", hash = "sha256:31a9ac2b38ab9b5a8933b693db4939764ad3f299fcaa931a3e605bc3460e693c"},
{file = "frozenlist-1.5.0-cp313-cp313-win_amd64.whl", hash = "sha256:11aabdd62b8b9c4b84081a3c246506d1cddd2dd93ff0ad53ede5defec7886b28"},
{file = "frozenlist-1.5.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:dd94994fc91a6177bfaafd7d9fd951bc8689b0a98168aa26b5f543868548d3ca"},
{file = "frozenlist-1.5.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2d0da8bbec082bf6bf18345b180958775363588678f64998c2b7609e34719b10"},
{file = "frozenlist-1.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:73f2e31ea8dd7df61a359b731716018c2be196e5bb3b74ddba107f694fbd7604"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:828afae9f17e6de596825cf4228ff28fbdf6065974e5ac1410cecc22f699d2b3"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f1577515d35ed5649d52ab4319db757bb881ce3b2b796d7283e6634d99ace307"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2150cc6305a2c2ab33299453e2968611dacb970d2283a14955923062c8d00b10"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a72b7a6e3cd2725eff67cd64c8f13335ee18fc3c7befc05aed043d24c7b9ccb9"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c16d2fa63e0800723139137d667e1056bee1a1cf7965153d2d104b62855e9b99"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:17dcc32fc7bda7ce5875435003220a457bcfa34ab7924a49a1c19f55b6ee185c"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:97160e245ea33d8609cd2b8fd997c850b56db147a304a262abc2b3be021a9171"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:f1e6540b7fa044eee0bb5111ada694cf3dc15f2b0347ca125ee9ca984d5e9e6e"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:91d6c171862df0a6c61479d9724f22efb6109111017c87567cfeb7b5d1449fdf"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c1fac3e2ace2eb1052e9f7c7db480818371134410e1f5c55d65e8f3ac6d1407e"},
{file = "frozenlist-1.5.0-cp38-cp38-win32.whl", hash = "sha256:b97f7b575ab4a8af9b7bc1d2ef7f29d3afee2226bd03ca3875c16451ad5a7723"},
{file = "frozenlist-1.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:374ca2dabdccad8e2a76d40b1d037f5bd16824933bf7bcea3e59c891fd4a0923"},
{file = "frozenlist-1.5.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:9bbcdfaf4af7ce002694a4e10a0159d5a8d20056a12b05b45cea944a4953f972"},
{file = "frozenlist-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1893f948bf6681733aaccf36c5232c231e3b5166d607c5fa77773611df6dc336"},
{file = "frozenlist-1.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2b5e23253bb709ef57a8e95e6ae48daa9ac5f265637529e4ce6b003a37b2621f"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f253985bb515ecd89629db13cb58d702035ecd8cfbca7d7a7e29a0e6d39af5f"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:04a5c6babd5e8fb7d3c871dc8b321166b80e41b637c31a995ed844a6139942b6"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9fe0f1c29ba24ba6ff6abf688cb0b7cf1efab6b6aa6adc55441773c252f7411"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:226d72559fa19babe2ccd920273e767c96a49b9d3d38badd7c91a0fdeda8ea08"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15b731db116ab3aedec558573c1a5eec78822b32292fe4f2f0345b7f697745c2"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:366d8f93e3edfe5a918c874702f78faac300209a4d5bf38352b2c1bdc07a766d"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1b96af8c582b94d381a1c1f51ffaedeb77c821c690ea5f01da3d70a487dd0a9b"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:c03eff4a41bd4e38415cbed054bbaff4a075b093e2394b6915dca34a40d1e38b"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:50cf5e7ee9b98f22bdecbabf3800ae78ddcc26e4a435515fc72d97903e8488e0"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1e76bfbc72353269c44e0bc2cfe171900fbf7f722ad74c9a7b638052afe6a00c"},
{file = "frozenlist-1.5.0-cp39-cp39-win32.whl", hash = "sha256:666534d15ba8f0fda3f53969117383d5dc021266b3c1a42c9ec4855e4b58b9d3"},
{file = "frozenlist-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:5c28f4b5dbef8a0d8aad0d4de24d1e9e981728628afaf4ea0792f5d0939372f0"},
{file = "frozenlist-1.5.0-py3-none-any.whl", hash = "sha256:d994863bba198a4a518b467bb971c56e1db3f180a25c6cf7bb1949c267f748c3"},
{file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"},
]
[[package]]
name = "greenlet"
version = "3.1.1"
description = "Lightweight in-process concurrent programming"
optional = false
python-versions = ">=3.7"
files = [
{file = "greenlet-3.1.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:0bbae94a29c9e5c7e4a2b7f0aae5c17e8e90acbfd3bf6270eeba60c39fce3563"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fde093fb93f35ca72a556cf72c92ea3ebfda3d79fc35bb19fbe685853869a83"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:36b89d13c49216cadb828db8dfa6ce86bbbc476a82d3a6c397f0efae0525bdd0"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:94b6150a85e1b33b40b1464a3f9988dcc5251d6ed06842abff82e42632fac120"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:93147c513fac16385d1036b7e5b102c7fbbdb163d556b791f0f11eada7ba65dc"},
{file = "greenlet-3.1.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:da7a9bff22ce038e19bf62c4dd1ec8391062878710ded0a845bcf47cc0200617"},
{file = "greenlet-3.1.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b2795058c23988728eec1f36a4e5e4ebad22f8320c85f3587b539b9ac84128d7"},
{file = "greenlet-3.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ed10eac5830befbdd0c32f83e8aa6288361597550ba669b04c48f0f9a2c843c6"},
{file = "greenlet-3.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:77c386de38a60d1dfb8e55b8c1101d68c79dfdd25c7095d51fec2dd800892b80"},
{file = "greenlet-3.1.1-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:e4d333e558953648ca09d64f13e6d8f0523fa705f51cae3f03b5983489958c70"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09fc016b73c94e98e29af67ab7b9a879c307c6731a2c9da0db5a7d9b7edd1159"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d5e975ca70269d66d17dd995dafc06f1b06e8cb1ec1e9ed54c1d1e4a7c4cf26e"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3b2813dc3de8c1ee3f924e4d4227999285fd335d1bcc0d2be6dc3f1f6a318ec1"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e347b3bfcf985a05e8c0b7d462ba6f15b1ee1c909e2dcad795e49e91b152c383"},
{file = "greenlet-3.1.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9e8f8c9cb53cdac7ba9793c276acd90168f416b9ce36799b9b885790f8ad6c0a"},
{file = "greenlet-3.1.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:62ee94988d6b4722ce0028644418d93a52429e977d742ca2ccbe1c4f4a792511"},
{file = "greenlet-3.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1776fd7f989fc6b8d8c8cb8da1f6b82c5814957264d1f6cf818d475ec2bf6395"},
{file = "greenlet-3.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:48ca08c771c268a768087b408658e216133aecd835c0ded47ce955381105ba39"},
{file = "greenlet-3.1.1-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:4afe7ea89de619adc868e087b4d2359282058479d7cfb94970adf4b55284574d"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f406b22b7c9a9b4f8aa9d2ab13d6ae0ac3e85c9a809bd590ad53fed2bf70dc79"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c3a701fe5a9695b238503ce5bbe8218e03c3bcccf7e204e455e7462d770268aa"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2846930c65b47d70b9d178e89c7e1a69c95c1f68ea5aa0a58646b7a96df12441"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:99cfaa2110534e2cf3ba31a7abcac9d328d1d9f1b95beede58294a60348fba36"},
{file = "greenlet-3.1.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1443279c19fca463fc33e65ef2a935a5b09bb90f978beab37729e1c3c6c25fe9"},
{file = "greenlet-3.1.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:b7cede291382a78f7bb5f04a529cb18e068dd29e0fb27376074b6d0317bf4dd0"},
{file = "greenlet-3.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:23f20bb60ae298d7d8656c6ec6db134bca379ecefadb0b19ce6f19d1f232a942"},
{file = "greenlet-3.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:7124e16b4c55d417577c2077be379514321916d5790fa287c9ed6f23bd2ffd01"},
{file = "greenlet-3.1.1-cp313-cp313-macosx_11_0_universal2.whl", hash = "sha256:05175c27cb459dcfc05d026c4232f9de8913ed006d42713cb8a5137bd49375f1"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:935e943ec47c4afab8965954bf49bfa639c05d4ccf9ef6e924188f762145c0ff"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:667a9706c970cb552ede35aee17339a18e8f2a87a51fba2ed39ceeeb1004798a"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b8a678974d1f3aa55f6cc34dc480169d58f2e6d8958895d68845fa4ab566509e"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efc0f674aa41b92da8c49e0346318c6075d734994c3c4e4430b1c3f853e498e4"},
{file = "greenlet-3.1.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0153404a4bb921f0ff1abeb5ce8a5131da56b953eda6e14b88dc6bbc04d2049e"},
{file = "greenlet-3.1.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:275f72decf9932639c1c6dd1013a1bc266438eb32710016a1c742df5da6e60a1"},
{file = "greenlet-3.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:c4aab7f6381f38a4b42f269057aee279ab0fc7bf2e929e3d4abfae97b682a12c"},
{file = "greenlet-3.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:b42703b1cf69f2aa1df7d1030b9d77d3e584a70755674d60e710f0af570f3761"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f1695e76146579f8c06c1509c7ce4dfe0706f49c6831a817ac04eebb2fd02011"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7876452af029456b3f3549b696bb36a06db7c90747740c5302f74a9e9fa14b13"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4ead44c85f8ab905852d3de8d86f6f8baf77109f9da589cb4fa142bd3b57b475"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8320f64b777d00dd7ccdade271eaf0cad6636343293a25074cc5566160e4de7b"},
{file = "greenlet-3.1.1-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6510bf84a6b643dabba74d3049ead221257603a253d0a9873f55f6a59a65f822"},
{file = "greenlet-3.1.1-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:04b013dc07c96f83134b1e99888e7a79979f1a247e2a9f59697fa14b5862ed01"},
{file = "greenlet-3.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:411f015496fec93c1c8cd4e5238da364e1da7a124bcb293f085bf2860c32c6f6"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:47da355d8687fd65240c364c90a31569a133b7b60de111c255ef5b606f2ae291"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:98884ecf2ffb7d7fe6bd517e8eb99d31ff7855a840fa6d0d63cd07c037f6a981"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f1d4aeb8891338e60d1ab6127af1fe45def5259def8094b9c7e34690c8858803"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db32b5348615a04b82240cc67983cb315309e88d444a288934ee6ceaebcad6cc"},
{file = "greenlet-3.1.1-cp37-cp37m-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:dcc62f31eae24de7f8dce72134c8651c58000d3b1868e01392baea7c32c247de"},
{file = "greenlet-3.1.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:1d3755bcb2e02de341c55b4fca7a745a24a9e7212ac953f6b3a48d117d7257aa"},
{file = "greenlet-3.1.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:b8da394b34370874b4572676f36acabac172602abf054cbc4ac910219f3340af"},
{file = "greenlet-3.1.1-cp37-cp37m-win32.whl", hash = "sha256:a0dfc6c143b519113354e780a50381508139b07d2177cb6ad6a08278ec655798"},
{file = "greenlet-3.1.1-cp37-cp37m-win_amd64.whl", hash = "sha256:54558ea205654b50c438029505def3834e80f0869a70fb15b871c29b4575ddef"},
{file = "greenlet-3.1.1-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:346bed03fe47414091be4ad44786d1bd8bef0c3fcad6ed3dee074a032ab408a9"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dfc59d69fc48664bc693842bd57acfdd490acafda1ab52c7836e3fc75c90a111"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d21e10da6ec19b457b82636209cbe2331ff4306b54d06fa04b7c138ba18c8a81"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:37b9de5a96111fc15418819ab4c4432e4f3c2ede61e660b1e33971eba26ef9ba"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ef9ea3f137e5711f0dbe5f9263e8c009b7069d8a1acea822bd5e9dae0ae49c8"},
{file = "greenlet-3.1.1-cp38-cp38-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:85f3ff71e2e60bd4b4932a043fbbe0f499e263c628390b285cb599154a3b03b1"},
{file = "greenlet-3.1.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:95ffcf719966dd7c453f908e208e14cde192e09fde6c7186c8f1896ef778d8cd"},
{file = "greenlet-3.1.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:03a088b9de532cbfe2ba2034b2b85e82df37874681e8c470d6fb2f8c04d7e4b7"},
{file = "greenlet-3.1.1-cp38-cp38-win32.whl", hash = "sha256:8b8b36671f10ba80e159378df9c4f15c14098c4fd73a36b9ad715f057272fbef"},
{file = "greenlet-3.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:7017b2be767b9d43cc31416aba48aab0d2309ee31b4dbf10a1d38fb7972bdf9d"},
{file = "greenlet-3.1.1-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:396979749bd95f018296af156201d6211240e7a23090f50a8d5d18c370084dc3"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca9d0ff5ad43e785350894d97e13633a66e2b50000e8a183a50a88d834752d42"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f6ff3b14f2df4c41660a7dec01045a045653998784bf8cfcb5a525bdffffbc8f"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:94ebba31df2aa506d7b14866fed00ac141a867e63143fe5bca82a8e503b36437"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:73aaad12ac0ff500f62cebed98d8789198ea0e6f233421059fa68a5aa7220145"},
{file = "greenlet-3.1.1-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:63e4844797b975b9af3a3fb8f7866ff08775f5426925e1e0bbcfe7932059a12c"},
{file = "greenlet-3.1.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7939aa3ca7d2a1593596e7ac6d59391ff30281ef280d8632fa03d81f7c5f955e"},
{file = "greenlet-3.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d0028e725ee18175c6e422797c407874da24381ce0690d6b9396c204c7f7276e"},
{file = "greenlet-3.1.1-cp39-cp39-win32.whl", hash = "sha256:5e06afd14cbaf9e00899fae69b24a32f2196c19de08fcb9f4779dd4f004e5e7c"},
{file = "greenlet-3.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:3319aa75e0e0639bc15ff54ca327e8dc7a6fe404003496e3c6925cd3142e0e22"},
{file = "greenlet-3.1.1.tar.gz", hash = "sha256:4ce3ac6cdb6adf7946475d7ef31777c26d94bccc377e070a7986bd2d5c515467"},
]
[package.extras]
docs = ["Sphinx", "furo"]
test = ["objgraph", "psutil"]
[[package]]
name = "h11"
version = "0.14.0"
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
optional = false
python-versions = ">=3.7"
files = [
{file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
]
[[package]]
name = "httpcore"
version = "1.0.7"
description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
{file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
]
[package.dependencies]
certifi = "*"
h11 = ">=0.13,<0.15"
[package.extras]
asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
trio = ["trio (>=0.22.0,<1.0)"]
[[package]]
name = "httpx"
version = "0.27.2"
description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
{file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
]
[package.dependencies]
anyio = "*"
certifi = "*"
httpcore = "==1.*"
idna = "*"
sniffio = "*"
[package.extras]
brotli = ["brotli", "brotlicffi"]
cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "idna"
version = "3.10"
description = "Internationalized Domain Names in Applications (IDNA)"
optional = false
python-versions = ">=3.6"
files = [
{file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
{file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
]
[package.extras]
all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
[[package]]
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
optional = false
python-versions = ">=3.7"
files = [
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
[[package]]
name = "jsonpatch"
version = "1.33"
description = "Apply JSON-Patches (RFC 6902)"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
{file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
{file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
]
[package.dependencies]
jsonpointer = ">=1.9"
[[package]]
name = "jsonpointer"
version = "3.0.0"
description = "Identify specific nodes in a JSON document (RFC 6901)"
optional = false
python-versions = ">=3.7"
files = [
{file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
{file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
]
[[package]]
name = "langchain"
version = "0.3.8"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.9"
files = [
{file = "langchain-0.3.8-py3-none-any.whl", hash = "sha256:5cae404da30bf6730639a9ad85d3bf4fbb350c0038e5a0b81890e5883b4cff5c"},
{file = "langchain-0.3.8.tar.gz", hash = "sha256:1cbbf7379b5b2f11b751fc527016f29ee5fe8a2697d166b52b7b5c63fc9702f9"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
langchain-core = ">=0.3.21,<0.4.0"
langchain-text-splitters = ">=0.3.0,<0.4.0"
langsmith = ">=0.1.17,<0.2.0"
numpy = [
{version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
{version = ">=1.26.2,<2", markers = "python_version >= \"3.12\""},
]
pydantic = ">=2.7.4,<3.0.0"
PyYAML = ">=5.3"
requests = ">=2,<3"
SQLAlchemy = ">=1.4,<3"
tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
[[package]]
name = "langchain-core"
version = "0.3.21"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.125"
packaging = ">=23.2,<25"
pydantic = [
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = ">=8.1.0,!=8.4.0,<10.0.0"
typing-extensions = ">=4.7"
[package.source]
type = "directory"
url = "../../core"
[[package]]
name = "langchain-text-splitters"
version = "0.3.2"
description = "LangChain text splitting utilities"
optional = false
python-versions = "<4.0,>=3.9"
files = [
{file = "langchain_text_splitters-0.3.2-py3-none-any.whl", hash = "sha256:0db28c53f41d1bc024cdb3b1646741f6d46d5371e90f31e7e7c9fbe75d01c726"},
{file = "langchain_text_splitters-0.3.2.tar.gz", hash = "sha256:81e6515d9901d6dd8e35fb31ccd4f30f76d44b771890c789dc835ef9f16204df"},
]
[package.dependencies]
langchain-core = ">=0.3.15,<0.4.0"
[[package]]
name = "langsmith"
version = "0.1.146"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.146-py3-none-any.whl", hash = "sha256:9d062222f1a32c9b047dab0149b24958f988989cd8d4a5f9139ff959a51e59d8"},
{file = "langsmith-0.1.146.tar.gz", hash = "sha256:ead8b0b9d5b6cd3ac42937ec48bdf09d4afe7ca1bba22dc05eb65591a18106f8"},
]
[package.dependencies]
httpx = ">=0.23.0,<1"
orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
requests = ">=2,<3"
requests-toolbelt = ">=1.0.0,<2.0.0"
[[package]]
name = "multidict"
version = "6.1.0"
description = "multidict implementation"
optional = false
python-versions = ">=3.8"
files = [
{file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
{file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
{file = "multidict-6.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a114d03b938376557927ab23f1e950827c3b893ccb94b62fd95d430fd0e5cf53"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1c416351ee6271b2f49b56ad7f308072f6f44b37118d69c2cad94f3fa8a40d5"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6b5d83030255983181005e6cfbac1617ce9746b219bc2aad52201ad121226581"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3e97b5e938051226dc025ec80980c285b053ffb1e25a3db2a3aa3bc046bf7f56"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d618649d4e70ac6efcbba75be98b26ef5078faad23592f9b51ca492953012429"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10524ebd769727ac77ef2278390fb0068d83f3acb7773792a5080f2b0abf7748"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ff3827aef427c89a25cc96ded1759271a93603aba9fb977a6d264648ebf989db"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:06809f4f0f7ab7ea2cabf9caca7d79c22c0758b58a71f9d32943ae13c7ace056"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:f179dee3b863ab1c59580ff60f9d99f632f34ccb38bf67a33ec6b3ecadd0fd76"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:aaed8b0562be4a0876ee3b6946f6869b7bcdb571a5d1496683505944e268b160"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3c8b88a2ccf5493b6c8da9076fb151ba106960a2df90c2633f342f120751a9e7"},
{file = "multidict-6.1.0-cp310-cp310-win32.whl", hash = "sha256:4a9cb68166a34117d6646c0023c7b759bf197bee5ad4272f420a0141d7eb03a0"},
{file = "multidict-6.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:20b9b5fbe0b88d0bdef2012ef7dee867f874b72528cf1d08f1d59b0e3850129d"},
{file = "multidict-6.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3efe2c2cb5763f2f1b275ad2bf7a287d3f7ebbef35648a9726e3b69284a4f3d6"},
{file = "multidict-6.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7053d3b0353a8b9de430a4f4b4268ac9a4fb3481af37dfe49825bf45ca24156"},
{file = "multidict-6.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27e5fc84ccef8dfaabb09d82b7d179c7cf1a3fbc8a966f8274fcb4ab2eb4cadb"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e2b90b43e696f25c62656389d32236e049568b39320e2735d51f08fd362761b"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d83a047959d38a7ff552ff94be767b7fd79b831ad1cd9920662db05fec24fe72"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d1a9dd711d0877a1ece3d2e4fea11a8e75741ca21954c919406b44e7cf971304"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec2abea24d98246b94913b76a125e855eb5c434f7c46546046372fe60f666351"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4867cafcbc6585e4b678876c489b9273b13e9fff9f6d6d66add5e15d11d926cb"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:5b48204e8d955c47c55b72779802b219a39acc3ee3d0116d5080c388970b76e3"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:d8fff389528cad1618fb4b26b95550327495462cd745d879a8c7c2115248e399"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:a7a9541cd308eed5e30318430a9c74d2132e9a8cb46b901326272d780bf2d423"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:da1758c76f50c39a2efd5e9859ce7d776317eb1dd34317c8152ac9251fc574a3"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c943a53e9186688b45b323602298ab727d8865d8c9ee0b17f8d62d14b56f0753"},
{file = "multidict-6.1.0-cp311-cp311-win32.whl", hash = "sha256:90f8717cb649eea3504091e640a1b8568faad18bd4b9fcd692853a04475a4b80"},
{file = "multidict-6.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:82176036e65644a6cc5bd619f65f6f19781e8ec2e5330f51aa9ada7504cc1926"},
{file = "multidict-6.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:b04772ed465fa3cc947db808fa306d79b43e896beb677a56fb2347ca1a49c1fa"},
{file = "multidict-6.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6180c0ae073bddeb5a97a38c03f30c233e0a4d39cd86166251617d1bbd0af436"},
{file = "multidict-6.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:071120490b47aa997cca00666923a83f02c7fbb44f71cf7f136df753f7fa8761"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50b3a2710631848991d0bf7de077502e8994c804bb805aeb2925a981de58ec2e"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b58c621844d55e71c1b7f7c498ce5aa6985d743a1a59034c57a905b3f153c1ef"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55b6d90641869892caa9ca42ff913f7ff1c5ece06474fbd32fb2cf6834726c95"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b820514bfc0b98a30e3d85462084779900347e4d49267f747ff54060cc33925"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10a9b09aba0c5b48c53761b7c720aaaf7cf236d5fe394cd399c7ba662d5f9966"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1e16bf3e5fc9f44632affb159d30a437bfe286ce9e02754759be5536b169b305"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:76f364861c3bfc98cbbcbd402d83454ed9e01a5224bb3a28bf70002a230f73e2"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:820c661588bd01a0aa62a1283f20d2be4281b086f80dad9e955e690c75fb54a2"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:0e5f362e895bc5b9e67fe6e4ded2492d8124bdf817827f33c5b46c2fe3ffaca6"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3ec660d19bbc671e3a6443325f07263be452c453ac9e512f5eb935e7d4ac28b3"},
{file = "multidict-6.1.0-cp312-cp312-win32.whl", hash = "sha256:58130ecf8f7b8112cdb841486404f1282b9c86ccb30d3519faf301b2e5659133"},
{file = "multidict-6.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:188215fc0aafb8e03341995e7c4797860181562380f81ed0a87ff455b70bf1f1"},
{file = "multidict-6.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:d569388c381b24671589335a3be6e1d45546c2988c2ebe30fdcada8457a31008"},
{file = "multidict-6.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:052e10d2d37810b99cc170b785945421141bf7bb7d2f8799d431e7db229c385f"},
{file = "multidict-6.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f90c822a402cb865e396a504f9fc8173ef34212a342d92e362ca498cad308e28"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b225d95519a5bf73860323e633a664b0d85ad3d5bede6d30d95b35d4dfe8805b"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:23bfd518810af7de1116313ebd9092cb9aa629beb12f6ed631ad53356ed6b86c"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c09fcfdccdd0b57867577b719c69e347a436b86cd83747f179dbf0cc0d4c1f3"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf6bea52ec97e95560af5ae576bdac3aa3aae0b6758c6efa115236d9e07dae44"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57feec87371dbb3520da6192213c7d6fc892d5589a93db548331954de8248fd2"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0c3f390dc53279cbc8ba976e5f8035eab997829066756d811616b652b00a23a3"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:59bfeae4b25ec05b34f1956eaa1cb38032282cd4dfabc5056d0a1ec4d696d3aa"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:b2f59caeaf7632cc633b5cf6fc449372b83bbdf0da4ae04d5be36118e46cc0aa"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:37bb93b2178e02b7b618893990941900fd25b6b9ac0fa49931a40aecdf083fe4"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4e9f48f58c2c523d5a06faea47866cd35b32655c46b443f163d08c6d0ddb17d6"},
{file = "multidict-6.1.0-cp313-cp313-win32.whl", hash = "sha256:3a37ffb35399029b45c6cc33640a92bef403c9fd388acce75cdc88f58bd19a81"},
{file = "multidict-6.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:e9aa71e15d9d9beaad2c6b9319edcdc0a49a43ef5c0a4c8265ca9ee7d6c67774"},
{file = "multidict-6.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:db7457bac39421addd0c8449933ac32d8042aae84a14911a757ae6ca3eef1392"},
{file = "multidict-6.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d094ddec350a2fb899fec68d8353c78233debde9b7d8b4beeafa70825f1c281a"},
{file = "multidict-6.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5845c1fd4866bb5dd3125d89b90e57ed3138241540897de748cdf19de8a2fca2"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9079dfc6a70abe341f521f78405b8949f96db48da98aeb43f9907f342f627cdc"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3914f5aaa0f36d5d60e8ece6a308ee1c9784cd75ec8151062614657a114c4478"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c08be4f460903e5a9d0f76818db3250f12e9c344e79314d1d570fc69d7f4eae4"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d093be959277cb7dee84b801eb1af388b6ad3ca6a6b6bf1ed7585895789d027d"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3702ea6872c5a2a4eeefa6ffd36b042e9773f05b1f37ae3ef7264b1163c2dcf6"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:2090f6a85cafc5b2db085124d752757c9d251548cedabe9bd31afe6363e0aff2"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:f67f217af4b1ff66c68a87318012de788dd95fcfeb24cc889011f4e1c7454dfd"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:189f652a87e876098bbc67b4da1049afb5f5dfbaa310dd67c594b01c10388db6"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:6bb5992037f7a9eff7991ebe4273ea7f51f1c1c511e6a2ce511d0e7bdb754492"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:ac10f4c2b9e770c4e393876e35a7046879d195cd123b4f116d299d442b335bcd"},
{file = "multidict-6.1.0-cp38-cp38-win32.whl", hash = "sha256:e27bbb6d14416713a8bd7aaa1313c0fc8d44ee48d74497a0ff4c3a1b6ccb5167"},
{file = "multidict-6.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:22f3105d4fb15c8f57ff3959a58fcab6ce36814486500cd7485651230ad4d4ef"},
{file = "multidict-6.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:4e18b656c5e844539d506a0a06432274d7bd52a7487e6828c63a63d69185626c"},
{file = "multidict-6.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a185f876e69897a6f3325c3f19f26a297fa058c5e456bfcff8015e9a27e83ae1"},
{file = "multidict-6.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ab7c4ceb38d91570a650dba194e1ca87c2b543488fe9309b4212694174fd539c"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e617fb6b0b6953fffd762669610c1c4ffd05632c138d61ac7e14ad187870669c"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:16e5f4bf4e603eb1fdd5d8180f1a25f30056f22e55ce51fb3d6ad4ab29f7d96f"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f4c035da3f544b1882bac24115f3e2e8760f10a0107614fc9839fd232200b875"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:957cf8e4b6e123a9eea554fa7ebc85674674b713551de587eb318a2df3e00255"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:483a6aea59cb89904e1ceabd2b47368b5600fb7de78a6e4a2c2987b2d256cf30"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:87701f25a2352e5bf7454caa64757642734da9f6b11384c1f9d1a8e699758057"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:682b987361e5fd7a139ed565e30d81fd81e9629acc7d925a205366877d8c8657"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ce2186a7df133a9c895dea3331ddc5ddad42cdd0d1ea2f0a51e5d161e4762f28"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:9f636b730f7e8cb19feb87094949ba54ee5357440b9658b2a32a5ce4bce53972"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:73eae06aa53af2ea5270cc066dcaf02cc60d2994bbb2c4ef5764949257d10f43"},
{file = "multidict-6.1.0-cp39-cp39-win32.whl", hash = "sha256:1ca0083e80e791cffc6efce7660ad24af66c8d4079d2a750b29001b53ff59ada"},
{file = "multidict-6.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:aa466da5b15ccea564bdab9c89175c762bc12825f4659c11227f515cee76fa4a"},
{file = "multidict-6.1.0-py3-none-any.whl", hash = "sha256:48e171e52d1c4d33888e529b999e5900356b9ae588c2f09a52dcefb158b27506"},
{file = "multidict-6.1.0.tar.gz", hash = "sha256:22ae2ebf9b0c69d206c003e2f6a914ea33f0a932d4aa16f236afc049d9958f4a"},
]
[package.dependencies]
typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
[[package]]
name = "mypy"
version = "1.13.0"
description = "Optional static typing for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "mypy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6607e0f1dd1fb7f0aca14d936d13fd19eba5e17e1cd2a14f808fa5f8f6d8f60a"},
{file = "mypy-1.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a21be69bd26fa81b1f80a61ee7ab05b076c674d9b18fb56239d72e21d9f4c80"},
{file = "mypy-1.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7b2353a44d2179846a096e25691d54d59904559f4232519d420d64da6828a3a7"},
{file = "mypy-1.13.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0730d1c6a2739d4511dc4253f8274cdd140c55c32dfb0a4cf8b7a43f40abfa6f"},
{file = "mypy-1.13.0-cp310-cp310-win_amd64.whl", hash = "sha256:c5fc54dbb712ff5e5a0fca797e6e0aa25726c7e72c6a5850cfd2adbc1eb0a372"},
{file = "mypy-1.13.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:581665e6f3a8a9078f28d5502f4c334c0c8d802ef55ea0e7276a6e409bc0d82d"},
{file = "mypy-1.13.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3ddb5b9bf82e05cc9a627e84707b528e5c7caaa1c55c69e175abb15a761cec2d"},
{file = "mypy-1.13.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:20c7ee0bc0d5a9595c46f38beb04201f2620065a93755704e141fcac9f59db2b"},
{file = "mypy-1.13.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3790ded76f0b34bc9c8ba4def8f919dd6a46db0f5a6610fb994fe8efdd447f73"},
{file = "mypy-1.13.0-cp311-cp311-win_amd64.whl", hash = "sha256:51f869f4b6b538229c1d1bcc1dd7d119817206e2bc54e8e374b3dfa202defcca"},
{file = "mypy-1.13.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5c7051a3461ae84dfb5dd15eff5094640c61c5f22257c8b766794e6dd85e72d5"},
{file = "mypy-1.13.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:39bb21c69a5d6342f4ce526e4584bc5c197fd20a60d14a8624d8743fffb9472e"},
{file = "mypy-1.13.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:164f28cb9d6367439031f4c81e84d3ccaa1e19232d9d05d37cb0bd880d3f93c2"},
{file = "mypy-1.13.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a4c1bfcdbce96ff5d96fc9b08e3831acb30dc44ab02671eca5953eadad07d6d0"},
{file = "mypy-1.13.0-cp312-cp312-win_amd64.whl", hash = "sha256:a0affb3a79a256b4183ba09811e3577c5163ed06685e4d4b46429a271ba174d2"},
{file = "mypy-1.13.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a7b44178c9760ce1a43f544e595d35ed61ac2c3de306599fa59b38a6048e1aa7"},
{file = "mypy-1.13.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5d5092efb8516d08440e36626f0153b5006d4088c1d663d88bf79625af3d1d62"},
{file = "mypy-1.13.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:de2904956dac40ced10931ac967ae63c5089bd498542194b436eb097a9f77bc8"},
{file = "mypy-1.13.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:7bfd8836970d33c2105562650656b6846149374dc8ed77d98424b40b09340ba7"},
{file = "mypy-1.13.0-cp313-cp313-win_amd64.whl", hash = "sha256:9f73dba9ec77acb86457a8fc04b5239822df0c14a082564737833d2963677dbc"},
{file = "mypy-1.13.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:100fac22ce82925f676a734af0db922ecfea991e1d7ec0ceb1e115ebe501301a"},
{file = "mypy-1.13.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7bcb0bb7f42a978bb323a7c88f1081d1b5dee77ca86f4100735a6f541299d8fb"},
{file = "mypy-1.13.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bde31fc887c213e223bbfc34328070996061b0833b0a4cfec53745ed61f3519b"},
{file = "mypy-1.13.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:07de989f89786f62b937851295ed62e51774722e5444a27cecca993fc3f9cd74"},
{file = "mypy-1.13.0-cp38-cp38-win_amd64.whl", hash = "sha256:4bde84334fbe19bad704b3f5b78c4abd35ff1026f8ba72b29de70dda0916beb6"},
{file = "mypy-1.13.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0246bcb1b5de7f08f2826451abd947bf656945209b140d16ed317f65a17dc7dc"},
{file = "mypy-1.13.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7f5b7deae912cf8b77e990b9280f170381fdfbddf61b4ef80927edd813163732"},
{file = "mypy-1.13.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7029881ec6ffb8bc233a4fa364736789582c738217b133f1b55967115288a2bc"},
{file = "mypy-1.13.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3e38b980e5681f28f033f3be86b099a247b13c491f14bb8b1e1e134d23bb599d"},
{file = "mypy-1.13.0-cp39-cp39-win_amd64.whl", hash = "sha256:a6789be98a2017c912ae6ccb77ea553bbaf13d27605d2ca20a76dfbced631b24"},
{file = "mypy-1.13.0-py3-none-any.whl", hash = "sha256:9c250883f9fd81d212e0952c92dbfcc96fc237f4b7c92f56ac81fd48460b3e5a"},
{file = "mypy-1.13.0.tar.gz", hash = "sha256:0291a61b6fbf3e6673e3405cfcc0e7650bebc7939659fdca2702958038bd835e"},
]
[package.dependencies]
mypy-extensions = ">=1.0.0"
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
typing-extensions = ">=4.6.0"
[package.extras]
dmypy = ["psutil (>=4.0)"]
faster-cache = ["orjson"]
install-types = ["pip"]
mypyc = ["setuptools (>=50)"]
reports = ["lxml"]
[[package]]
name = "mypy-extensions"
version = "1.0.0"
description = "Type system extensions for programs checked with the mypy type checker."
optional = false
python-versions = ">=3.5"
files = [
{file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
]
[[package]]
name = "numpy"
version = "1.26.4"
description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.9"
files = [
{file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
{file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
{file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
{file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
{file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
{file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
{file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
{file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
{file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"},
{file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"},
{file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"},
{file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"},
{file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"},
{file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"},
{file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"},
{file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"},
{file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
{file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
{file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
{file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
{file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"},
{file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"},
{file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"},
{file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"},
{file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"},
{file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"},
{file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"},
{file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"},
{file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"},
{file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"},
{file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"},
{file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"},
{file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
{file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
{file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
{file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
]
[[package]]
name = "orjson"
version = "3.10.12"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
python-versions = ">=3.8"
files = [
{file = "orjson-3.10.12-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:ece01a7ec71d9940cc654c482907a6b65df27251255097629d0dea781f255c6d"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c34ec9aebc04f11f4b978dd6caf697a2df2dd9b47d35aa4cc606cabcb9df69d7"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fd6ec8658da3480939c79b9e9e27e0db31dffcd4ba69c334e98c9976ac29140e"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f17e6baf4cf01534c9de8a16c0c611f3d94925d1701bf5f4aff17003677d8ced"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6402ebb74a14ef96f94a868569f5dccf70d791de49feb73180eb3c6fda2ade56"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0000758ae7c7853e0a4a6063f534c61656ebff644391e1f81698c1b2d2fc8cd2"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:888442dcee99fd1e5bd37a4abb94930915ca6af4db50e23e746cdf4d1e63db13"},
{file = "orjson-3.10.12-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:c1f7a3ce79246aa0e92f5458d86c54f257fb5dfdc14a192651ba7ec2c00f8a05"},
{file = "orjson-3.10.12-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:802a3935f45605c66fb4a586488a38af63cb37aaad1c1d94c982c40dcc452e85"},
{file = "orjson-3.10.12-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:1da1ef0113a2be19bb6c557fb0ec2d79c92ebd2fed4cfb1b26bab93f021fb885"},
{file = "orjson-3.10.12-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7a3273e99f367f137d5b3fecb5e9f45bcdbfac2a8b2f32fbc72129bbd48789c2"},
{file = "orjson-3.10.12-cp310-none-win32.whl", hash = "sha256:475661bf249fd7907d9b0a2a2421b4e684355a77ceef85b8352439a9163418c3"},
{file = "orjson-3.10.12-cp310-none-win_amd64.whl", hash = "sha256:87251dc1fb2b9e5ab91ce65d8f4caf21910d99ba8fb24b49fd0c118b2362d509"},
{file = "orjson-3.10.12-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a734c62efa42e7df94926d70fe7d37621c783dea9f707a98cdea796964d4cf74"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:750f8b27259d3409eda8350c2919a58b0cfcd2054ddc1bd317a643afc646ef23"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb52c22bfffe2857e7aa13b4622afd0dd9d16ea7cc65fd2bf318d3223b1b6252"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:440d9a337ac8c199ff8251e100c62e9488924c92852362cd27af0e67308c16ef"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9e15c06491c69997dfa067369baab3bf094ecb74be9912bdc4339972323f252"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:362d204ad4b0b8724cf370d0cd917bb2dc913c394030da748a3bb632445ce7c4"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2b57cbb4031153db37b41622eac67329c7810e5f480fda4cfd30542186f006ae"},
{file = "orjson-3.10.12-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:165c89b53ef03ce0d7c59ca5c82fa65fe13ddf52eeb22e859e58c237d4e33b9b"},
{file = "orjson-3.10.12-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:5dee91b8dfd54557c1a1596eb90bcd47dbcd26b0baaed919e6861f076583e9da"},
{file = "orjson-3.10.12-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:77a4e1cfb72de6f905bdff061172adfb3caf7a4578ebf481d8f0530879476c07"},
{file = "orjson-3.10.12-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:038d42c7bc0606443459b8fe2d1f121db474c49067d8d14c6a075bbea8bf14dd"},
{file = "orjson-3.10.12-cp311-none-win32.whl", hash = "sha256:03b553c02ab39bed249bedd4abe37b2118324d1674e639b33fab3d1dafdf4d79"},
{file = "orjson-3.10.12-cp311-none-win_amd64.whl", hash = "sha256:8b8713b9e46a45b2af6b96f559bfb13b1e02006f4242c156cbadef27800a55a8"},
{file = "orjson-3.10.12-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:53206d72eb656ca5ac7d3a7141e83c5bbd3ac30d5eccfe019409177a57634b0d"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac8010afc2150d417ebda810e8df08dd3f544e0dd2acab5370cfa6bcc0662f8f"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed459b46012ae950dd2e17150e838ab08215421487371fa79d0eced8d1461d70"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8dcb9673f108a93c1b52bfc51b0af422c2d08d4fc710ce9c839faad25020bb69"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:22a51ae77680c5c4652ebc63a83d5255ac7d65582891d9424b566fb3b5375ee9"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:910fdf2ac0637b9a77d1aad65f803bac414f0b06f720073438a7bd8906298192"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:24ce85f7100160936bc2116c09d1a8492639418633119a2224114f67f63a4559"},
{file = "orjson-3.10.12-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8a76ba5fc8dd9c913640292df27bff80a685bed3a3c990d59aa6ce24c352f8fc"},
{file = "orjson-3.10.12-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:ff70ef093895fd53f4055ca75f93f047e088d1430888ca1229393a7c0521100f"},
{file = "orjson-3.10.12-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:f4244b7018b5753ecd10a6d324ec1f347da130c953a9c88432c7fbc8875d13be"},
{file = "orjson-3.10.12-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:16135ccca03445f37921fa4b585cff9a58aa8d81ebcb27622e69bfadd220b32c"},
{file = "orjson-3.10.12-cp312-none-win32.whl", hash = "sha256:2d879c81172d583e34153d524fcba5d4adafbab8349a7b9f16ae511c2cee8708"},
{file = "orjson-3.10.12-cp312-none-win_amd64.whl", hash = "sha256:fc23f691fa0f5c140576b8c365bc942d577d861a9ee1142e4db468e4e17094fb"},
{file = "orjson-3.10.12-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:47962841b2a8aa9a258b377f5188db31ba49af47d4003a32f55d6f8b19006543"},
{file = "orjson-3.10.12-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6334730e2532e77b6054e87ca84f3072bee308a45a452ea0bffbbbc40a67e296"},
{file = "orjson-3.10.12-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:accfe93f42713c899fdac2747e8d0d5c659592df2792888c6c5f829472e4f85e"},
{file = "orjson-3.10.12-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a7974c490c014c48810d1dede6c754c3cc46598da758c25ca3b4001ac45b703f"},
{file = "orjson-3.10.12-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:3f250ce7727b0b2682f834a3facff88e310f52f07a5dcfd852d99637d386e79e"},
{file = "orjson-3.10.12-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:f31422ff9486ae484f10ffc51b5ab2a60359e92d0716fcce1b3593d7bb8a9af6"},
{file = "orjson-3.10.12-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5f29c5d282bb2d577c2a6bbde88d8fdcc4919c593f806aac50133f01b733846e"},
{file = "orjson-3.10.12-cp313-none-win32.whl", hash = "sha256:f45653775f38f63dc0e6cd4f14323984c3149c05d6007b58cb154dd080ddc0dc"},
{file = "orjson-3.10.12-cp313-none-win_amd64.whl", hash = "sha256:229994d0c376d5bdc91d92b3c9e6be2f1fbabd4cc1b59daae1443a46ee5e9825"},
{file = "orjson-3.10.12-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:7d69af5b54617a5fac5c8e5ed0859eb798e2ce8913262eb522590239db6c6763"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ed119ea7d2953365724a7059231a44830eb6bbb0cfead33fcbc562f5fd8f935"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9c5fc1238ef197e7cad5c91415f524aaa51e004be5a9b35a1b8a84ade196f73f"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:43509843990439b05f848539d6f6198d4ac86ff01dd024b2f9a795c0daeeab60"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f72e27a62041cfb37a3de512247ece9f240a561e6c8662276beaf4d53d406db4"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a904f9572092bb6742ab7c16c623f0cdccbad9eeb2d14d4aa06284867bddd31"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:855c0833999ed5dc62f64552db26f9be767434917d8348d77bacaab84f787d7b"},
{file = "orjson-3.10.12-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:897830244e2320f6184699f598df7fb9db9f5087d6f3f03666ae89d607e4f8ed"},
{file = "orjson-3.10.12-cp38-cp38-musllinux_1_2_armv7l.whl", hash = "sha256:0b32652eaa4a7539f6f04abc6243619c56f8530c53bf9b023e1269df5f7816dd"},
{file = "orjson-3.10.12-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:36b4aa31e0f6a1aeeb6f8377769ca5d125db000f05c20e54163aef1d3fe8e833"},
{file = "orjson-3.10.12-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:5535163054d6cbf2796f93e4f0dbc800f61914c0e3c4ed8499cf6ece22b4a3da"},
{file = "orjson-3.10.12-cp38-none-win32.whl", hash = "sha256:90a5551f6f5a5fa07010bf3d0b4ca2de21adafbbc0af6cb700b63cd767266cb9"},
{file = "orjson-3.10.12-cp38-none-win_amd64.whl", hash = "sha256:703a2fb35a06cdd45adf5d733cf613cbc0cb3ae57643472b16bc22d325b5fb6c"},
{file = "orjson-3.10.12-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:f29de3ef71a42a5822765def1febfb36e0859d33abf5c2ad240acad5c6a1b78d"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de365a42acc65d74953f05e4772c974dad6c51cfc13c3240899f534d611be967"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:91a5a0158648a67ff0004cb0df5df7dcc55bfc9ca154d9c01597a23ad54c8d0c"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c47ce6b8d90fe9646a25b6fb52284a14ff215c9595914af63a5933a49972ce36"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0eee4c2c5bfb5c1b47a5db80d2ac7aaa7e938956ae88089f098aff2c0f35d5d8"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:35d3081bbe8b86587eb5c98a73b97f13d8f9fea685cf91a579beddacc0d10566"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:73c23a6e90383884068bc2dba83d5222c9fcc3b99a0ed2411d38150734236755"},
{file = "orjson-3.10.12-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5472be7dc3269b4b52acba1433dac239215366f89dc1d8d0e64029abac4e714e"},
{file = "orjson-3.10.12-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:7319cda750fca96ae5973efb31b17d97a5c5225ae0bc79bf5bf84df9e1ec2ab6"},
{file = "orjson-3.10.12-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:74d5ca5a255bf20b8def6a2b96b1e18ad37b4a122d59b154c458ee9494377f80"},
{file = "orjson-3.10.12-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:ff31d22ecc5fb85ef62c7d4afe8301d10c558d00dd24274d4bbe464380d3cd69"},
{file = "orjson-3.10.12-cp39-none-win32.whl", hash = "sha256:c22c3ea6fba91d84fcb4cda30e64aff548fcf0c44c876e681f47d61d24b12e6b"},
{file = "orjson-3.10.12-cp39-none-win_amd64.whl", hash = "sha256:be604f60d45ace6b0b33dd990a66b4526f1a7a186ac411c942674625456ca548"},
{file = "orjson-3.10.12.tar.gz", hash = "sha256:0a78bbda3aea0f9f079057ee1ee8a1ecf790d4f1af88dd67493c6b8ee52506ff"},
]
[[package]]
name = "packaging"
version = "24.2"
description = "Core utilities for Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
{file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
]
[[package]]
name = "pluggy"
version = "1.5.0"
description = "plugin and hook calling mechanisms for python"
optional = false
python-versions = ">=3.8"
files = [
{file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
{file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
]
[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "propcache"
version = "0.2.0"
description = "Accelerated property cache"
optional = false
python-versions = ">=3.8"
files = [
{file = "propcache-0.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c5869b8fd70b81835a6f187c5fdbe67917a04d7e52b6e7cc4e5fe39d55c39d58"},
{file = "propcache-0.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:952e0d9d07609d9c5be361f33b0d6d650cd2bae393aabb11d9b719364521984b"},
{file = "propcache-0.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:33ac8f098df0585c0b53009f039dfd913b38c1d2edafed0cedcc0c32a05aa110"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:97e48e8875e6c13909c800fa344cd54cc4b2b0db1d5f911f840458a500fde2c2"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:388f3217649d6d59292b722d940d4d2e1e6a7003259eb835724092a1cca0203a"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f571aea50ba5623c308aa146eb650eebf7dbe0fd8c5d946e28343cb3b5aad577"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3dfafb44f7bb35c0c06eda6b2ab4bfd58f02729e7c4045e179f9a861b07c9850"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a3ebe9a75be7ab0b7da2464a77bb27febcb4fab46a34f9288f39d74833db7f61"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d2f0d0f976985f85dfb5f3d685697ef769faa6b71993b46b295cdbbd6be8cc37"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:a3dc1a4b165283bd865e8f8cb5f0c64c05001e0718ed06250d8cac9bec115b48"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9e0f07b42d2a50c7dd2d8675d50f7343d998c64008f1da5fef888396b7f84630"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:e63e3e1e0271f374ed489ff5ee73d4b6e7c60710e1f76af5f0e1a6117cd26394"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:56bb5c98f058a41bb58eead194b4db8c05b088c93d94d5161728515bd52b052b"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7665f04d0c7f26ff8bb534e1c65068409bf4687aa2534faf7104d7182debb336"},
{file = "propcache-0.2.0-cp310-cp310-win32.whl", hash = "sha256:7cf18abf9764746b9c8704774d8b06714bcb0a63641518a3a89c7f85cc02c2ad"},
{file = "propcache-0.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:cfac69017ef97db2438efb854edf24f5a29fd09a536ff3a992b75990720cdc99"},
{file = "propcache-0.2.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:63f13bf09cc3336eb04a837490b8f332e0db41da66995c9fd1ba04552e516354"},
{file = "propcache-0.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:608cce1da6f2672a56b24a015b42db4ac612ee709f3d29f27a00c943d9e851de"},
{file = "propcache-0.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:466c219deee4536fbc83c08d09115249db301550625c7fef1c5563a584c9bc87"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc2db02409338bf36590aa985a461b2c96fce91f8e7e0f14c50c5fcc4f229016"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a6ed8db0a556343d566a5c124ee483ae113acc9a557a807d439bcecc44e7dfbb"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:91997d9cb4a325b60d4e3f20967f8eb08dfcb32b22554d5ef78e6fd1dda743a2"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c7dde9e533c0a49d802b4f3f218fa9ad0a1ce21f2c2eb80d5216565202acab4"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffcad6c564fe6b9b8916c1aefbb37a362deebf9394bd2974e9d84232e3e08504"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:97a58a28bcf63284e8b4d7b460cbee1edaab24634e82059c7b8c09e65284f178"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:945db8ee295d3af9dbdbb698cce9bbc5c59b5c3fe328bbc4387f59a8a35f998d"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:39e104da444a34830751715f45ef9fc537475ba21b7f1f5b0f4d71a3b60d7fe2"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:c5ecca8f9bab618340c8e848d340baf68bcd8ad90a8ecd7a4524a81c1764b3db"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:c436130cc779806bdf5d5fae0d848713105472b8566b75ff70048c47d3961c5b"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:191db28dc6dcd29d1a3e063c3be0b40688ed76434622c53a284e5427565bbd9b"},
{file = "propcache-0.2.0-cp311-cp311-win32.whl", hash = "sha256:5f2564ec89058ee7c7989a7b719115bdfe2a2fb8e7a4543b8d1c0cc4cf6478c1"},
{file = "propcache-0.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:6e2e54267980349b723cff366d1e29b138b9a60fa376664a157a342689553f71"},
{file = "propcache-0.2.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:2ee7606193fb267be4b2e3b32714f2d58cad27217638db98a60f9efb5efeccc2"},
{file = "propcache-0.2.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:91ee8fc02ca52e24bcb77b234f22afc03288e1dafbb1f88fe24db308910c4ac7"},
{file = "propcache-0.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2e900bad2a8456d00a113cad8c13343f3b1f327534e3589acc2219729237a2e8"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f52a68c21363c45297aca15561812d542f8fc683c85201df0bebe209e349f793"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1e41d67757ff4fbc8ef2af99b338bfb955010444b92929e9e55a6d4dcc3c4f09"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a64e32f8bd94c105cc27f42d3b658902b5bcc947ece3c8fe7bc1b05982f60e89"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:55346705687dbd7ef0d77883ab4f6fabc48232f587925bdaf95219bae072491e"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00181262b17e517df2cd85656fcd6b4e70946fe62cd625b9d74ac9977b64d8d9"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6994984550eaf25dd7fc7bd1b700ff45c894149341725bb4edc67f0ffa94efa4"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:56295eb1e5f3aecd516d91b00cfd8bf3a13991de5a479df9e27dd569ea23959c"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:439e76255daa0f8151d3cb325f6dd4a3e93043e6403e6491813bcaaaa8733887"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:f6475a1b2ecb310c98c28d271a30df74f9dd436ee46d09236a6b750a7599ce57"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:3444cdba6628accf384e349014084b1cacd866fbb88433cd9d279d90a54e0b23"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4a9d9b4d0a9b38d1c391bb4ad24aa65f306c6f01b512e10a8a34a2dc5675d348"},
{file = "propcache-0.2.0-cp312-cp312-win32.whl", hash = "sha256:69d3a98eebae99a420d4b28756c8ce6ea5a29291baf2dc9ff9414b42676f61d5"},
{file = "propcache-0.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:ad9c9b99b05f163109466638bd30ada1722abb01bbb85c739c50b6dc11f92dc3"},
{file = "propcache-0.2.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ecddc221a077a8132cf7c747d5352a15ed763b674c0448d811f408bf803d9ad7"},
{file = "propcache-0.2.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0e53cb83fdd61cbd67202735e6a6687a7b491c8742dfc39c9e01e80354956763"},
{file = "propcache-0.2.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:92fe151145a990c22cbccf9ae15cae8ae9eddabfc949a219c9f667877e40853d"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6a21ef516d36909931a2967621eecb256018aeb11fc48656e3257e73e2e247a"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3f88a4095e913f98988f5b338c1d4d5d07dbb0b6bad19892fd447484e483ba6b"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a5b3bb545ead161be780ee85a2b54fdf7092815995661947812dde94a40f6fb"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67aeb72e0f482709991aa91345a831d0b707d16b0257e8ef88a2ad246a7280bf"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3c997f8c44ec9b9b0bcbf2d422cc00a1d9b9c681f56efa6ca149a941e5560da2"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2a66df3d4992bc1d725b9aa803e8c5a66c010c65c741ad901e260ece77f58d2f"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:3ebbcf2a07621f29638799828b8d8668c421bfb94c6cb04269130d8de4fb7136"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:1235c01ddaa80da8235741e80815ce381c5267f96cc49b1477fdcf8c047ef325"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3947483a381259c06921612550867b37d22e1df6d6d7e8361264b6d037595f44"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:d5bed7f9805cc29c780f3aee05de3262ee7ce1f47083cfe9f77471e9d6777e83"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e4a91d44379f45f5e540971d41e4626dacd7f01004826a18cb048e7da7e96544"},
{file = "propcache-0.2.0-cp313-cp313-win32.whl", hash = "sha256:f902804113e032e2cdf8c71015651c97af6418363bea8d78dc0911d56c335032"},
{file = "propcache-0.2.0-cp313-cp313-win_amd64.whl", hash = "sha256:8f188cfcc64fb1266f4684206c9de0e80f54622c3f22a910cbd200478aeae61e"},
{file = "propcache-0.2.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:53d1bd3f979ed529f0805dd35ddaca330f80a9a6d90bc0121d2ff398f8ed8861"},
{file = "propcache-0.2.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:83928404adf8fb3d26793665633ea79b7361efa0287dfbd372a7e74311d51ee6"},
{file = "propcache-0.2.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:77a86c261679ea5f3896ec060be9dc8e365788248cc1e049632a1be682442063"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:218db2a3c297a3768c11a34812e63b3ac1c3234c3a086def9c0fee50d35add1f"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7735e82e3498c27bcb2d17cb65d62c14f1100b71723b68362872bca7d0913d90"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:20a617c776f520c3875cf4511e0d1db847a076d720714ae35ffe0df3e440be68"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67b69535c870670c9f9b14a75d28baa32221d06f6b6fa6f77a0a13c5a7b0a5b9"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4569158070180c3855e9c0791c56be3ceeb192defa2cdf6a3f39e54319e56b89"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:db47514ffdbd91ccdc7e6f8407aac4ee94cc871b15b577c1c324236b013ddd04"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_armv7l.whl", hash = "sha256:2a60ad3e2553a74168d275a0ef35e8c0a965448ffbc3b300ab3a5bb9956c2162"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:662dd62358bdeaca0aee5761de8727cfd6861432e3bb828dc2a693aa0471a563"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:25a1f88b471b3bc911d18b935ecb7115dff3a192b6fef46f0bfaf71ff4f12418"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:f60f0ac7005b9f5a6091009b09a419ace1610e163fa5deaba5ce3484341840e7"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:74acd6e291f885678631b7ebc85d2d4aec458dd849b8c841b57ef04047833bed"},
{file = "propcache-0.2.0-cp38-cp38-win32.whl", hash = "sha256:d9b6ddac6408194e934002a69bcaadbc88c10b5f38fb9307779d1c629181815d"},
{file = "propcache-0.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:676135dcf3262c9c5081cc8f19ad55c8a64e3f7282a21266d05544450bffc3a5"},
{file = "propcache-0.2.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:25c8d773a62ce0451b020c7b29a35cfbc05de8b291163a7a0f3b7904f27253e6"},
{file = "propcache-0.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:375a12d7556d462dc64d70475a9ee5982465fbb3d2b364f16b86ba9135793638"},
{file = "propcache-0.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1ec43d76b9677637a89d6ab86e1fef70d739217fefa208c65352ecf0282be957"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f45eec587dafd4b2d41ac189c2156461ebd0c1082d2fe7013571598abb8505d1"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bc092ba439d91df90aea38168e11f75c655880c12782facf5cf9c00f3d42b562"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fa1076244f54bb76e65e22cb6910365779d5c3d71d1f18b275f1dfc7b0d71b4d"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:682a7c79a2fbf40f5dbb1eb6bfe2cd865376deeac65acf9beb607505dced9e12"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8e40876731f99b6f3c897b66b803c9e1c07a989b366c6b5b475fafd1f7ba3fb8"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:363ea8cd3c5cb6679f1c2f5f1f9669587361c062e4899fce56758efa928728f8"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:140fbf08ab3588b3468932974a9331aff43c0ab8a2ec2c608b6d7d1756dbb6cb"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:e70fac33e8b4ac63dfc4c956fd7d85a0b1139adcfc0d964ce288b7c527537fea"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:b33d7a286c0dc1a15f5fc864cc48ae92a846df287ceac2dd499926c3801054a6"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:f6d5749fdd33d90e34c2efb174c7e236829147a2713334d708746e94c4bde40d"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:22aa8f2272d81d9317ff5756bb108021a056805ce63dd3630e27d042c8092798"},
{file = "propcache-0.2.0-cp39-cp39-win32.whl", hash = "sha256:73e4b40ea0eda421b115248d7e79b59214411109a5bc47d0d48e4c73e3b8fcf9"},
{file = "propcache-0.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:9517d5e9e0731957468c29dbfd0f976736a0e55afaea843726e887f36fe017df"},
{file = "propcache-0.2.0-py3-none-any.whl", hash = "sha256:2ccc28197af5313706511fab3a8b66dcd6da067a1331372c82ea1cb74285e036"},
{file = "propcache-0.2.0.tar.gz", hash = "sha256:df81779732feb9d01e5d513fad0122efb3d53bbc75f61b2a4f29a020bc985e70"},
]
[[package]]
name = "pydantic"
version = "2.10.2"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.10.2-py3-none-any.whl", hash = "sha256:cfb96e45951117c3024e6b67b25cdc33a3cb7b2fa62e239f7af1378358a1d99e"},
{file = "pydantic-2.10.2.tar.gz", hash = "sha256:2bc2d7f17232e0841cbba4641e65ba1eb6fafb3a08de3a091ff3ce14a197c4fa"},
]
[package.dependencies]
annotated-types = ">=0.6.0"
pydantic-core = "2.27.1"
typing-extensions = ">=4.12.2"
[package.extras]
email = ["email-validator (>=2.0.0)"]
timezone = ["tzdata"]
[[package]]
name = "pydantic-core"
version = "2.27.1"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic_core-2.27.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:71a5e35c75c021aaf400ac048dacc855f000bdfed91614b4a726f7432f1f3d6a"},
{file = "pydantic_core-2.27.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f82d068a2d6ecfc6e054726080af69a6764a10015467d7d7b9f66d6ed5afa23b"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:121ceb0e822f79163dd4699e4c54f5ad38b157084d97b34de8b232bcaad70278"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4603137322c18eaf2e06a4495f426aa8d8388940f3c457e7548145011bb68e05"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a33cd6ad9017bbeaa9ed78a2e0752c5e250eafb9534f308e7a5f7849b0b1bfb4"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:15cc53a3179ba0fcefe1e3ae50beb2784dede4003ad2dfd24f81bba4b23a454f"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45d9c5eb9273aa50999ad6adc6be5e0ecea7e09dbd0d31bd0c65a55a2592ca08"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8bf7b66ce12a2ac52d16f776b31d16d91033150266eb796967a7e4621707e4f6"},
{file = "pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:655d7dd86f26cb15ce8a431036f66ce0318648f8853d709b4167786ec2fa4807"},
{file = "pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:5556470f1a2157031e676f776c2bc20acd34c1990ca5f7e56f1ebf938b9ab57c"},
{file = "pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f69ed81ab24d5a3bd93861c8c4436f54afdf8e8cc421562b0c7504cf3be58206"},
{file = "pydantic_core-2.27.1-cp310-none-win32.whl", hash = "sha256:f5a823165e6d04ccea61a9f0576f345f8ce40ed533013580e087bd4d7442b52c"},
{file = "pydantic_core-2.27.1-cp310-none-win_amd64.whl", hash = "sha256:57866a76e0b3823e0b56692d1a0bf722bffb324839bb5b7226a7dbd6c9a40b17"},
{file = "pydantic_core-2.27.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:ac3b20653bdbe160febbea8aa6c079d3df19310d50ac314911ed8cc4eb7f8cb8"},
{file = "pydantic_core-2.27.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a5a8e19d7c707c4cadb8c18f5f60c843052ae83c20fa7d44f41594c644a1d330"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f7059ca8d64fea7f238994c97d91f75965216bcbe5f695bb44f354893f11d52"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bed0f8a0eeea9fb72937ba118f9db0cb7e90773462af7962d382445f3005e5a4"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a3cb37038123447cf0f3ea4c74751f6a9d7afef0eb71aa07bf5f652b5e6a132c"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:84286494f6c5d05243456e04223d5a9417d7f443c3b76065e75001beb26f88de"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:acc07b2cfc5b835444b44a9956846b578d27beeacd4b52e45489e93276241025"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4fefee876e07a6e9aad7a8c8c9f85b0cdbe7df52b8a9552307b09050f7512c7e"},
{file = "pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:258c57abf1188926c774a4c94dd29237e77eda19462e5bb901d88adcab6af919"},
{file = "pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:35c14ac45fcfdf7167ca76cc80b2001205a8d5d16d80524e13508371fb8cdd9c"},
{file = "pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d1b26e1dff225c31897696cab7d4f0a315d4c0d9e8666dbffdb28216f3b17fdc"},
{file = "pydantic_core-2.27.1-cp311-none-win32.whl", hash = "sha256:2cdf7d86886bc6982354862204ae3b2f7f96f21a3eb0ba5ca0ac42c7b38598b9"},
{file = "pydantic_core-2.27.1-cp311-none-win_amd64.whl", hash = "sha256:3af385b0cee8df3746c3f406f38bcbfdc9041b5c2d5ce3e5fc6637256e60bbc5"},
{file = "pydantic_core-2.27.1-cp311-none-win_arm64.whl", hash = "sha256:81f2ec23ddc1b476ff96563f2e8d723830b06dceae348ce02914a37cb4e74b89"},
{file = "pydantic_core-2.27.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:9cbd94fc661d2bab2bc702cddd2d3370bbdcc4cd0f8f57488a81bcce90c7a54f"},
{file = "pydantic_core-2.27.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5f8c4718cd44ec1580e180cb739713ecda2bdee1341084c1467802a417fe0f02"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15aae984e46de8d376df515f00450d1522077254ef6b7ce189b38ecee7c9677c"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:1ba5e3963344ff25fc8c40da90f44b0afca8cfd89d12964feb79ac1411a260ac"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:992cea5f4f3b29d6b4f7f1726ed8ee46c8331c6b4eed6db5b40134c6fe1768bb"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0325336f348dbee6550d129b1627cb8f5351a9dc91aad141ffb96d4937bd9529"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7597c07fbd11515f654d6ece3d0e4e5093edc30a436c63142d9a4b8e22f19c35"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3bbd5d8cc692616d5ef6fbbbd50dbec142c7e6ad9beb66b78a96e9c16729b089"},
{file = "pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:dc61505e73298a84a2f317255fcc72b710b72980f3a1f670447a21efc88f8381"},
{file = "pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:e1f735dc43da318cad19b4173dd1ffce1d84aafd6c9b782b3abc04a0d5a6f5bb"},
{file = "pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f4e5658dbffe8843a0f12366a4c2d1c316dbe09bb4dfbdc9d2d9cd6031de8aae"},
{file = "pydantic_core-2.27.1-cp312-none-win32.whl", hash = "sha256:672ebbe820bb37988c4d136eca2652ee114992d5d41c7e4858cdd90ea94ffe5c"},
{file = "pydantic_core-2.27.1-cp312-none-win_amd64.whl", hash = "sha256:66ff044fd0bb1768688aecbe28b6190f6e799349221fb0de0e6f4048eca14c16"},
{file = "pydantic_core-2.27.1-cp312-none-win_arm64.whl", hash = "sha256:9a3b0793b1bbfd4146304e23d90045f2a9b5fd5823aa682665fbdaf2a6c28f3e"},
{file = "pydantic_core-2.27.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f216dbce0e60e4d03e0c4353c7023b202d95cbaeff12e5fd2e82ea0a66905073"},
{file = "pydantic_core-2.27.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a2e02889071850bbfd36b56fd6bc98945e23670773bc7a76657e90e6b6603c08"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42b0e23f119b2b456d07ca91b307ae167cc3f6c846a7b169fca5326e32fdc6cf"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:764be71193f87d460a03f1f7385a82e226639732214b402f9aa61f0d025f0737"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1c00666a3bd2f84920a4e94434f5974d7bbc57e461318d6bb34ce9cdbbc1f6b2"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3ccaa88b24eebc0f849ce0a4d09e8a408ec5a94afff395eb69baf868f5183107"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c65af9088ac534313e1963443d0ec360bb2b9cba6c2909478d22c2e363d98a51"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:206b5cf6f0c513baffaeae7bd817717140770c74528f3e4c3e1cec7871ddd61a"},
{file = "pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:062f60e512fc7fff8b8a9d680ff0ddaaef0193dba9fa83e679c0c5f5fbd018bc"},
{file = "pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:a0697803ed7d4af5e4c1adf1670af078f8fcab7a86350e969f454daf598c4960"},
{file = "pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:58ca98a950171f3151c603aeea9303ef6c235f692fe555e883591103da709b23"},
{file = "pydantic_core-2.27.1-cp313-none-win32.whl", hash = "sha256:8065914ff79f7eab1599bd80406681f0ad08f8e47c880f17b416c9f8f7a26d05"},
{file = "pydantic_core-2.27.1-cp313-none-win_amd64.whl", hash = "sha256:ba630d5e3db74c79300d9a5bdaaf6200172b107f263c98a0539eeecb857b2337"},
{file = "pydantic_core-2.27.1-cp313-none-win_arm64.whl", hash = "sha256:45cf8588c066860b623cd11c4ba687f8d7175d5f7ef65f7129df8a394c502de5"},
{file = "pydantic_core-2.27.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:5897bec80a09b4084aee23f9b73a9477a46c3304ad1d2d07acca19723fb1de62"},
{file = "pydantic_core-2.27.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d0165ab2914379bd56908c02294ed8405c252250668ebcb438a55494c69f44ab"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b9af86e1d8e4cfc82c2022bfaa6f459381a50b94a29e95dcdda8442d6d83864"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f6c8a66741c5f5447e047ab0ba7a1c61d1e95580d64bce852e3df1f895c4067"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a42d6a8156ff78981f8aa56eb6394114e0dedb217cf8b729f438f643608cbcd"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:64c65f40b4cd8b0e049a8edde07e38b476da7e3aaebe63287c899d2cff253fa5"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fdcf339322a3fae5cbd504edcefddd5a50d9ee00d968696846f089b4432cf78"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:bf99c8404f008750c846cb4ac4667b798a9f7de673ff719d705d9b2d6de49c5f"},
{file = "pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8f1edcea27918d748c7e5e4d917297b2a0ab80cad10f86631e488b7cddf76a36"},
{file = "pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_armv7l.whl", hash = "sha256:159cac0a3d096f79ab6a44d77a961917219707e2a130739c64d4dd46281f5c2a"},
{file = "pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:029d9757eb621cc6e1848fa0b0310310de7301057f623985698ed7ebb014391b"},
{file = "pydantic_core-2.27.1-cp38-none-win32.whl", hash = "sha256:a28af0695a45f7060e6f9b7092558a928a28553366519f64083c63a44f70e618"},
{file = "pydantic_core-2.27.1-cp38-none-win_amd64.whl", hash = "sha256:2d4567c850905d5eaaed2f7a404e61012a51caf288292e016360aa2b96ff38d4"},
{file = "pydantic_core-2.27.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:e9386266798d64eeb19dd3677051f5705bf873e98e15897ddb7d76f477131967"},
{file = "pydantic_core-2.27.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4228b5b646caa73f119b1ae756216b59cc6e2267201c27d3912b592c5e323b60"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b3dfe500de26c52abe0477dde16192ac39c98f05bf2d80e76102d394bd13854"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:aee66be87825cdf72ac64cb03ad4c15ffef4143dbf5c113f64a5ff4f81477bf9"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3b748c44bb9f53031c8cbc99a8a061bc181c1000c60a30f55393b6e9c45cc5bd"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ca038c7f6a0afd0b2448941b6ef9d5e1949e999f9e5517692eb6da58e9d44be"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e0bd57539da59a3e4671b90a502da9a28c72322a4f17866ba3ac63a82c4498e"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ac6c2c45c847bbf8f91930d88716a0fb924b51e0c6dad329b793d670ec5db792"},
{file = "pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b94d4ba43739bbe8b0ce4262bcc3b7b9f31459ad120fb595627eaeb7f9b9ca01"},
{file = "pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_armv7l.whl", hash = "sha256:00e6424f4b26fe82d44577b4c842d7df97c20be6439e8e685d0d715feceb9fb9"},
{file = "pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:38de0a70160dd97540335b7ad3a74571b24f1dc3ed33f815f0880682e6880131"},
{file = "pydantic_core-2.27.1-cp39-none-win32.whl", hash = "sha256:7ccebf51efc61634f6c2344da73e366c75e735960b5654b63d7e6f69a5885fa3"},
{file = "pydantic_core-2.27.1-cp39-none-win_amd64.whl", hash = "sha256:a57847b090d7892f123726202b7daa20df6694cbd583b67a592e856bff603d6c"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3fa80ac2bd5856580e242dbc202db873c60a01b20309c8319b5c5986fbe53ce6"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d950caa237bb1954f1b8c9227b5065ba6875ac9771bb8ec790d956a699b78676"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e4216e64d203e39c62df627aa882f02a2438d18a5f21d7f721621f7a5d3611d"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02a3d637bd387c41d46b002f0e49c52642281edacd2740e5a42f7017feea3f2c"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:161c27ccce13b6b0c8689418da3885d3220ed2eae2ea5e9b2f7f3d48f1d52c27"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:19910754e4cc9c63bc1c7f6d73aa1cfee82f42007e407c0f413695c2f7ed777f"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:e173486019cc283dc9778315fa29a363579372fe67045e971e89b6365cc035ed"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:af52d26579b308921b73b956153066481f064875140ccd1dfd4e77db89dbb12f"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:981fb88516bd1ae8b0cbbd2034678a39dedc98752f264ac9bc5839d3923fa04c"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5fde892e6c697ce3e30c61b239330fc5d569a71fefd4eb6512fc6caec9dd9e2f"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:816f5aa087094099fff7edabb5e01cc370eb21aa1a1d44fe2d2aefdfb5599b31"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c10c309e18e443ddb108f0ef64e8729363adbfd92d6d57beec680f6261556f3"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:98476c98b02c8e9b2eec76ac4156fd006628b1b2d0ef27e548ffa978393fd154"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c3027001c28434e7ca5a6e1e527487051136aa81803ac812be51802150d880dd"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:7699b1df36a48169cdebda7ab5a2bac265204003f153b4bd17276153d997670a"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:1c39b07d90be6b48968ddc8c19e7585052088fd7ec8d568bb31ff64c70ae3c97"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:46ccfe3032b3915586e469d4972973f893c0a2bb65669194a5bdea9bacc088c2"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:62ba45e21cf6571d7f716d903b5b7b6d2617e2d5d67c0923dc47b9d41369f840"},
{file = "pydantic_core-2.27.1.tar.gz", hash = "sha256:62a763352879b84aa31058fc931884055fd75089cccbd9d58bb6afd01141b235"},
]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pytest"
version = "7.4.4"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
{file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
iniconfig = "*"
packaging = "*"
pluggy = ">=0.12,<2.0"
tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
[package.extras]
testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "pytest-asyncio"
version = "0.23.8"
description = "Pytest support for asyncio"
optional = false
python-versions = ">=3.8"
files = [
{file = "pytest_asyncio-0.23.8-py3-none-any.whl", hash = "sha256:50265d892689a5faefb84df80819d1ecef566eb3549cf915dfb33569359d1ce2"},
{file = "pytest_asyncio-0.23.8.tar.gz", hash = "sha256:759b10b33a6dc61cce40a8bd5205e302978bbbcc00e279a8b61d9a6a3c82e4d3"},
]
[package.dependencies]
pytest = ">=7.0.0,<9"
[package.extras]
docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
[[package]]
name = "pytest-socket"
version = "0.7.0"
description = "Pytest Plugin to disable socket calls during tests"
optional = false
python-versions = ">=3.8,<4.0"
files = [
{file = "pytest_socket-0.7.0-py3-none-any.whl", hash = "sha256:7e0f4642177d55d317bbd58fc68c6bd9048d6eadb2d46a89307fa9221336ce45"},
{file = "pytest_socket-0.7.0.tar.gz", hash = "sha256:71ab048cbbcb085c15a4423b73b619a8b35d6a307f46f78ea46be51b1b7e11b3"},
]
[package.dependencies]
pytest = ">=6.2.5"
[[package]]
name = "pyyaml"
version = "6.0.2"
description = "YAML parser and emitter for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
{file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"},
{file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"},
{file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"},
{file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"},
{file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"},
{file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"},
{file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"},
{file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"},
{file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"},
{file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"},
{file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"},
{file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"},
{file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"},
{file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"},
{file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"},
{file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
]
[[package]]
name = "requests"
version = "2.32.3"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
files = [
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
]
[package.dependencies]
certifi = ">=2017.4.17"
charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<3"
[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "requests-toolbelt"
version = "1.0.0"
description = "A utility belt for advanced users of python-requests"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
{file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
]
[package.dependencies]
requests = ">=2.0.1,<3.0.0"
[[package]]
name = "ruff"
version = "0.5.7"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
files = [
{file = "ruff-0.5.7-py3-none-linux_armv6l.whl", hash = "sha256:548992d342fc404ee2e15a242cdbea4f8e39a52f2e7752d0e4cbe88d2d2f416a"},
{file = "ruff-0.5.7-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:00cc8872331055ee017c4f1071a8a31ca0809ccc0657da1d154a1d2abac5c0be"},
{file = "ruff-0.5.7-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eaf3d86a1fdac1aec8a3417a63587d93f906c678bb9ed0b796da7b59c1114a1e"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a01c34400097b06cf8a6e61b35d6d456d5bd1ae6961542de18ec81eaf33b4cb8"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fcc8054f1a717e2213500edaddcf1dbb0abad40d98e1bd9d0ad364f75c763eea"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7f70284e73f36558ef51602254451e50dd6cc479f8b6f8413a95fcb5db4a55fc"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:a78ad870ae3c460394fc95437d43deb5c04b5c29297815a2a1de028903f19692"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9ccd078c66a8e419475174bfe60a69adb36ce04f8d4e91b006f1329d5cd44bcf"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7e31c9bad4ebf8fdb77b59cae75814440731060a09a0e0077d559a556453acbb"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d796327eed8e168164346b769dd9a27a70e0298d667b4ecee6877ce8095ec8e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:4a09ea2c3f7778cc635e7f6edf57d566a8ee8f485f3c4454db7771efb692c499"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:a36d8dcf55b3a3bc353270d544fb170d75d2dff41eba5df57b4e0b67a95bb64e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_i686.whl", hash = "sha256:9369c218f789eefbd1b8d82a8cf25017b523ac47d96b2f531eba73770971c9e5"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b88ca3db7eb377eb24fb7c82840546fb7acef75af4a74bd36e9ceb37a890257e"},
{file = "ruff-0.5.7-py3-none-win32.whl", hash = "sha256:33d61fc0e902198a3e55719f4be6b375b28f860b09c281e4bdbf783c0566576a"},
{file = "ruff-0.5.7-py3-none-win_amd64.whl", hash = "sha256:083bbcbe6fadb93cd86709037acc510f86eed5a314203079df174c40bbbca6b3"},
{file = "ruff-0.5.7-py3-none-win_arm64.whl", hash = "sha256:2dca26154ff9571995107221d0aeaad0e75a77b5a682d6236cf89a58c70b76f4"},
{file = "ruff-0.5.7.tar.gz", hash = "sha256:8dfc0a458797f5d9fb622dd0efc52d796f23f0a1493a9527f4e49a550ae9a7e5"},
]
[[package]]
name = "sniffio"
version = "1.3.1"
description = "Sniff out which async library your code is running under"
optional = false
python-versions = ">=3.7"
files = [
{file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
{file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
]
[[package]]
name = "sqlalchemy"
version = "2.0.36"
description = "Database Abstraction Library"
optional = false
python-versions = ">=3.7"
files = [
{file = "SQLAlchemy-2.0.36-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:59b8f3adb3971929a3e660337f5dacc5942c2cdb760afcabb2614ffbda9f9f72"},
{file = "SQLAlchemy-2.0.36-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37350015056a553e442ff672c2d20e6f4b6d0b2495691fa239d8aa18bb3bc908"},
{file = "SQLAlchemy-2.0.36-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8318f4776c85abc3f40ab185e388bee7a6ea99e7fa3a30686580b209eaa35c08"},
{file = "SQLAlchemy-2.0.36-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c245b1fbade9c35e5bd3b64270ab49ce990369018289ecfde3f9c318411aaa07"},
{file = "SQLAlchemy-2.0.36-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:69f93723edbca7342624d09f6704e7126b152eaed3cdbb634cb657a54332a3c5"},
{file = "SQLAlchemy-2.0.36-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f9511d8dd4a6e9271d07d150fb2f81874a3c8c95e11ff9af3a2dfc35fe42ee44"},
{file = "SQLAlchemy-2.0.36-cp310-cp310-win32.whl", hash = "sha256:c3f3631693003d8e585d4200730616b78fafd5a01ef8b698f6967da5c605b3fa"},
{file = "SQLAlchemy-2.0.36-cp310-cp310-win_amd64.whl", hash = "sha256:a86bfab2ef46d63300c0f06936bd6e6c0105faa11d509083ba8f2f9d237fb5b5"},
{file = "SQLAlchemy-2.0.36-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fd3a55deef00f689ce931d4d1b23fa9f04c880a48ee97af488fd215cf24e2a6c"},
{file = "SQLAlchemy-2.0.36-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4f5e9cd989b45b73bd359f693b935364f7e1f79486e29015813c338450aa5a71"},
{file = "SQLAlchemy-2.0.36-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d0ddd9db6e59c44875211bc4c7953a9f6638b937b0a88ae6d09eb46cced54eff"},
{file = "SQLAlchemy-2.0.36-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2519f3a5d0517fc159afab1015e54bb81b4406c278749779be57a569d8d1bb0d"},
{file = "SQLAlchemy-2.0.36-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59b1ee96617135f6e1d6f275bbe988f419c5178016f3d41d3c0abb0c819f75bb"},
{file = "SQLAlchemy-2.0.36-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:39769a115f730d683b0eb7b694db9789267bcd027326cccc3125e862eb03bfd8"},
{file = "SQLAlchemy-2.0.36-cp311-cp311-win32.whl", hash = "sha256:66bffbad8d6271bb1cc2f9a4ea4f86f80fe5e2e3e501a5ae2a3dc6a76e604e6f"},
{file = "SQLAlchemy-2.0.36-cp311-cp311-win_amd64.whl", hash = "sha256:23623166bfefe1487d81b698c423f8678e80df8b54614c2bf4b4cfcd7c711959"},
{file = "SQLAlchemy-2.0.36-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f7b64e6ec3f02c35647be6b4851008b26cff592a95ecb13b6788a54ef80bbdd4"},
{file = "SQLAlchemy-2.0.36-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:46331b00096a6db1fdc052d55b101dbbfc99155a548e20a0e4a8e5e4d1362855"},
{file = "SQLAlchemy-2.0.36-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fdf3386a801ea5aba17c6410dd1dc8d39cf454ca2565541b5ac42a84e1e28f53"},
{file = "SQLAlchemy-2.0.36-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ac9dfa18ff2a67b09b372d5db8743c27966abf0e5344c555d86cc7199f7ad83a"},
{file = "SQLAlchemy-2.0.36-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:90812a8933df713fdf748b355527e3af257a11e415b613dd794512461eb8a686"},
{file = "SQLAlchemy-2.0.36-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1bc330d9d29c7f06f003ab10e1eaced295e87940405afe1b110f2eb93a233588"},
{file = "SQLAlchemy-2.0.36-cp312-cp312-win32.whl", hash = "sha256:79d2e78abc26d871875b419e1fd3c0bca31a1cb0043277d0d850014599626c2e"},
{file = "SQLAlchemy-2.0.36-cp312-cp312-win_amd64.whl", hash = "sha256:b544ad1935a8541d177cb402948b94e871067656b3a0b9e91dbec136b06a2ff5"},
{file = "SQLAlchemy-2.0.36-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b5cc79df7f4bc3d11e4b542596c03826063092611e481fcf1c9dfee3c94355ef"},
{file = "SQLAlchemy-2.0.36-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3c01117dd36800f2ecaa238c65365b7b16497adc1522bf84906e5710ee9ba0e8"},
{file = "SQLAlchemy-2.0.36-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9bc633f4ee4b4c46e7adcb3a9b5ec083bf1d9a97c1d3854b92749d935de40b9b"},
{file = "SQLAlchemy-2.0.36-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e46ed38affdfc95d2c958de328d037d87801cfcbea6d421000859e9789e61c2"},
{file = "SQLAlchemy-2.0.36-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:b2985c0b06e989c043f1dc09d4fe89e1616aadd35392aea2844f0458a989eacf"},
{file = "SQLAlchemy-2.0.36-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4a121d62ebe7d26fec9155f83f8be5189ef1405f5973ea4874a26fab9f1e262c"},
{file = "SQLAlchemy-2.0.36-cp313-cp313-win32.whl", hash = "sha256:0572f4bd6f94752167adfd7c1bed84f4b240ee6203a95e05d1e208d488d0d436"},
{file = "SQLAlchemy-2.0.36-cp313-cp313-win_amd64.whl", hash = "sha256:8c78ac40bde930c60e0f78b3cd184c580f89456dd87fc08f9e3ee3ce8765ce88"},
{file = "SQLAlchemy-2.0.36-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:be9812b766cad94a25bc63bec11f88c4ad3629a0cec1cd5d4ba48dc23860486b"},
{file = "SQLAlchemy-2.0.36-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50aae840ebbd6cdd41af1c14590e5741665e5272d2fee999306673a1bb1fdb4d"},
{file = "SQLAlchemy-2.0.36-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4557e1f11c5f653ebfdd924f3f9d5ebfc718283b0b9beebaa5dd6b77ec290971"},
{file = "SQLAlchemy-2.0.36-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:07b441f7d03b9a66299ce7ccf3ef2900abc81c0db434f42a5694a37bd73870f2"},
{file = "SQLAlchemy-2.0.36-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:28120ef39c92c2dd60f2721af9328479516844c6b550b077ca450c7d7dc68575"},
{file = "SQLAlchemy-2.0.36-cp37-cp37m-win32.whl", hash = "sha256:b81ee3d84803fd42d0b154cb6892ae57ea6b7c55d8359a02379965706c7efe6c"},
{file = "SQLAlchemy-2.0.36-cp37-cp37m-win_amd64.whl", hash = "sha256:f942a799516184c855e1a32fbc7b29d7e571b52612647866d4ec1c3242578fcb"},
{file = "SQLAlchemy-2.0.36-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:3d6718667da04294d7df1670d70eeddd414f313738d20a6f1d1f379e3139a545"},
{file = "SQLAlchemy-2.0.36-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:72c28b84b174ce8af8504ca28ae9347d317f9dba3999e5981a3cd441f3712e24"},
{file = "SQLAlchemy-2.0.36-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b11d0cfdd2b095e7b0686cf5fabeb9c67fae5b06d265d8180715b8cfa86522e3"},
{file = "SQLAlchemy-2.0.36-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e32092c47011d113dc01ab3e1d3ce9f006a47223b18422c5c0d150af13a00687"},
{file = "SQLAlchemy-2.0.36-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:6a440293d802d3011028e14e4226da1434b373cbaf4a4bbb63f845761a708346"},
{file = "SQLAlchemy-2.0.36-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c54a1e53a0c308a8e8a7dffb59097bff7facda27c70c286f005327f21b2bd6b1"},
{file = "SQLAlchemy-2.0.36-cp38-cp38-win32.whl", hash = "sha256:1e0d612a17581b6616ff03c8e3d5eff7452f34655c901f75d62bd86449d9750e"},
{file = "SQLAlchemy-2.0.36-cp38-cp38-win_amd64.whl", hash = "sha256:8958b10490125124463095bbdadda5aa22ec799f91958e410438ad6c97a7b793"},
{file = "SQLAlchemy-2.0.36-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dc022184d3e5cacc9579e41805a681187650e170eb2fd70e28b86192a479dcaa"},
{file = "SQLAlchemy-2.0.36-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b817d41d692bf286abc181f8af476c4fbef3fd05e798777492618378448ee689"},
{file = "SQLAlchemy-2.0.36-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a4e46a888b54be23d03a89be510f24a7652fe6ff660787b96cd0e57a4ebcb46d"},
{file = "SQLAlchemy-2.0.36-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4ae3005ed83f5967f961fd091f2f8c5329161f69ce8480aa8168b2d7fe37f06"},
{file = "SQLAlchemy-2.0.36-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:03e08af7a5f9386a43919eda9de33ffda16b44eb11f3b313e6822243770e9763"},
{file = "SQLAlchemy-2.0.36-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:3dbb986bad3ed5ceaf090200eba750b5245150bd97d3e67343a3cfed06feecf7"},
{file = "SQLAlchemy-2.0.36-cp39-cp39-win32.whl", hash = "sha256:9fe53b404f24789b5ea9003fc25b9a3988feddebd7e7b369c8fac27ad6f52f28"},
{file = "SQLAlchemy-2.0.36-cp39-cp39-win_amd64.whl", hash = "sha256:af148a33ff0349f53512a049c6406923e4e02bf2f26c5fb285f143faf4f0e46a"},
{file = "SQLAlchemy-2.0.36-py3-none-any.whl", hash = "sha256:fddbe92b4760c6f5d48162aef14824add991aeda8ddadb3c31d56eb15ca69f8e"},
{file = "sqlalchemy-2.0.36.tar.gz", hash = "sha256:7f2767680b6d2398aea7082e45a774b2b0767b5c8d8ffb9c8b683088ea9b29c5"},
]
[package.dependencies]
greenlet = {version = "!=0.4.17", markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
typing-extensions = ">=4.6.0"
[package.extras]
aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
asyncio = ["greenlet (!=0.4.17)"]
asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
mssql = ["pyodbc"]
mssql-pymssql = ["pymssql"]
mssql-pyodbc = ["pyodbc"]
mypy = ["mypy (>=0.910)"]
mysql = ["mysqlclient (>=1.4.0)"]
mysql-connector = ["mysql-connector-python"]
oracle = ["cx_oracle (>=8)"]
oracle-oracledb = ["oracledb (>=1.0.1)"]
postgresql = ["psycopg2 (>=2.7)"]
postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
postgresql-psycopg = ["psycopg (>=3.0.7)"]
postgresql-psycopg2binary = ["psycopg2-binary"]
postgresql-psycopg2cffi = ["psycopg2cffi"]
postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
pymysql = ["pymysql"]
sqlcipher = ["sqlcipher3_binary"]
[[package]]
name = "syrupy"
version = "4.8.0"
description = "Pytest Snapshot Test Utility"
optional = false
python-versions = ">=3.8.1"
files = [
{file = "syrupy-4.8.0-py3-none-any.whl", hash = "sha256:544f4ec6306f4b1c460fdab48fd60b2c7fe54a6c0a8243aeea15f9ad9c638c3f"},
{file = "syrupy-4.8.0.tar.gz", hash = "sha256:648f0e9303aaa8387c8365d7314784c09a6bab0a407455c6a01d6a4f5c6a8ede"},
]
[package.dependencies]
pytest = ">=7.0.0,<9.0.0"
[[package]]
name = "tenacity"
version = "9.0.0"
description = "Retry code until it succeeds"
optional = false
python-versions = ">=3.8"
files = [
{file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
{file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
]
[package.extras]
doc = ["reno", "sphinx"]
test = ["pytest", "tornado (>=4.5)", "typeguard"]
[[package]]
name = "tomli"
version = "2.1.0"
description = "A lil' TOML parser"
optional = false
python-versions = ">=3.8"
files = [
{file = "tomli-2.1.0-py3-none-any.whl", hash = "sha256:a5c57c3d1c56f5ccdf89f6523458f60ef716e210fc47c4cfb188c5ba473e0391"},
{file = "tomli-2.1.0.tar.gz", hash = "sha256:3f646cae2aec94e17d04973e4249548320197cfabdf130015d023de4b74d8ab8"},
]
[[package]]
name = "typing-extensions"
version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[[package]]
name = "urllib3"
version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
{file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
{file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
]
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "yarl"
version = "1.18.0"
description = "Yet another URL library"
optional = false
python-versions = ">=3.9"
files = [
{file = "yarl-1.18.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:074fee89caab89a97e18ef5f29060ef61ba3cae6cd77673acc54bfdd3214b7b7"},
{file = "yarl-1.18.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b026cf2c32daf48d90c0c4e406815c3f8f4cfe0c6dfccb094a9add1ff6a0e41a"},
{file = "yarl-1.18.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ae38bd86eae3ba3d2ce5636cc9e23c80c9db2e9cb557e40b98153ed102b5a736"},
{file = "yarl-1.18.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:685cc37f3f307c6a8e879986c6d85328f4c637f002e219f50e2ef66f7e062c1d"},
{file = "yarl-1.18.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8254dbfce84ee5d1e81051ee7a0f1536c108ba294c0fdb5933476398df0654f3"},
{file = "yarl-1.18.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:20de4a8b04de70c49698dc2390b7fd2d18d424d3b876371f9b775e2b462d4b41"},
{file = "yarl-1.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b0a2074a37285570d54b55820687de3d2f2b9ecf1b714e482e48c9e7c0402038"},
{file = "yarl-1.18.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3f576ed278860df2721a5d57da3381040176ef1d07def9688a385c8330db61a1"},
{file = "yarl-1.18.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:3a3709450a574d61be6ac53d582496014342ea34876af8dc17cc16da32826c9a"},
{file = "yarl-1.18.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:bd80ed29761490c622edde5dd70537ca8c992c2952eb62ed46984f8eff66d6e8"},
{file = "yarl-1.18.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:32141e13a1d5a48525e519c9197d3f4d9744d818d5c7d6547524cc9eccc8971e"},
{file = "yarl-1.18.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:8b8d3e4e014fb4274f1c5bf61511d2199e263909fb0b8bda2a7428b0894e8dc6"},
{file = "yarl-1.18.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:701bb4a8f4de191c8c0cc9a1e6d5142f4df880e9d1210e333b829ca9425570ed"},
{file = "yarl-1.18.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:a45d94075ac0647621eaaf693c8751813a3eccac455d423f473ffed38c8ac5c9"},
{file = "yarl-1.18.0-cp310-cp310-win32.whl", hash = "sha256:34176bfb082add67cb2a20abd85854165540891147f88b687a5ed0dc225750a0"},
{file = "yarl-1.18.0-cp310-cp310-win_amd64.whl", hash = "sha256:73553bbeea7d6ec88c08ad8027f4e992798f0abc459361bf06641c71972794dc"},
{file = "yarl-1.18.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:b8e8c516dc4e1a51d86ac975b0350735007e554c962281c432eaa5822aa9765c"},
{file = "yarl-1.18.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2e6b4466714a73f5251d84b471475850954f1fa6acce4d3f404da1d55d644c34"},
{file = "yarl-1.18.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c893f8c1a6d48b25961e00922724732d00b39de8bb0b451307482dc87bddcd74"},
{file = "yarl-1.18.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:13aaf2bdbc8c86ddce48626b15f4987f22e80d898818d735b20bd58f17292ee8"},
{file = "yarl-1.18.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dd21c0128e301851de51bc607b0a6da50e82dc34e9601f4b508d08cc89ee7929"},
{file = "yarl-1.18.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:205de377bd23365cd85562c9c6c33844050a93661640fda38e0567d2826b50df"},
{file = "yarl-1.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed69af4fe2a0949b1ea1d012bf065c77b4c7822bad4737f17807af2adb15a73c"},
{file = "yarl-1.18.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8e1c18890091aa3cc8a77967943476b729dc2016f4cfe11e45d89b12519d4a93"},
{file = "yarl-1.18.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:91b8fb9427e33f83ca2ba9501221ffaac1ecf0407f758c4d2f283c523da185ee"},
{file = "yarl-1.18.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:536a7a8a53b75b2e98ff96edb2dfb91a26b81c4fed82782035767db5a465be46"},
{file = "yarl-1.18.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:a64619a9c47c25582190af38e9eb382279ad42e1f06034f14d794670796016c0"},
{file = "yarl-1.18.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:c73a6bbc97ba1b5a0c3c992ae93d721c395bdbb120492759b94cc1ac71bc6350"},
{file = "yarl-1.18.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:a173401d7821a2a81c7b47d4e7d5c4021375a1441af0c58611c1957445055056"},
{file = "yarl-1.18.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:7520e799b1f84e095cce919bd6c23c9d49472deeef25fe1ef960b04cca51c3fc"},
{file = "yarl-1.18.0-cp311-cp311-win32.whl", hash = "sha256:c4cb992d8090d5ae5f7afa6754d7211c578be0c45f54d3d94f7781c495d56716"},
{file = "yarl-1.18.0-cp311-cp311-win_amd64.whl", hash = "sha256:52c136f348605974c9b1c878addd6b7a60e3bf2245833e370862009b86fa4689"},
{file = "yarl-1.18.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:1ece25e2251c28bab737bdf0519c88189b3dd9492dc086a1d77336d940c28ced"},
{file = "yarl-1.18.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:454902dc1830d935c90b5b53c863ba2a98dcde0fbaa31ca2ed1ad33b2a7171c6"},
{file = "yarl-1.18.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:01be8688fc211dc237e628fcc209dda412d35de7642453059a0553747018d075"},
{file = "yarl-1.18.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d26f1fa9fa2167bb238f6f4b20218eb4e88dd3ef21bb8f97439fa6b5313e30d"},
{file = "yarl-1.18.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b234a4a9248a9f000b7a5dfe84b8cb6210ee5120ae70eb72a4dcbdb4c528f72f"},
{file = "yarl-1.18.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fe94d1de77c4cd8caff1bd5480e22342dbd54c93929f5943495d9c1e8abe9f42"},
{file = "yarl-1.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9b4c90c5363c6b0a54188122b61edb919c2cd1119684999d08cd5e538813a28e"},
{file = "yarl-1.18.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:49a98ecadc5a241c9ba06de08127ee4796e1009555efd791bac514207862b43d"},
{file = "yarl-1.18.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9106025c7f261f9f5144f9aa7681d43867eed06349a7cfb297a1bc804de2f0d1"},
{file = "yarl-1.18.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:f275ede6199d0f1ed4ea5d55a7b7573ccd40d97aee7808559e1298fe6efc8dbd"},
{file = "yarl-1.18.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:f7edeb1dcc7f50a2c8e08b9dc13a413903b7817e72273f00878cb70e766bdb3b"},
{file = "yarl-1.18.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:c083f6dd6951b86e484ebfc9c3524b49bcaa9c420cb4b2a78ef9f7a512bfcc85"},
{file = "yarl-1.18.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:80741ec5b471fbdfb997821b2842c59660a1c930ceb42f8a84ba8ca0f25a66aa"},
{file = "yarl-1.18.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b1a3297b9cad594e1ff0c040d2881d7d3a74124a3c73e00c3c71526a1234a9f7"},
{file = "yarl-1.18.0-cp312-cp312-win32.whl", hash = "sha256:cd6ab7d6776c186f544f893b45ee0c883542b35e8a493db74665d2e594d3ca75"},
{file = "yarl-1.18.0-cp312-cp312-win_amd64.whl", hash = "sha256:039c299a0864d1f43c3e31570045635034ea7021db41bf4842693a72aca8df3a"},
{file = "yarl-1.18.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:6fb64dd45453225f57d82c4764818d7a205ee31ce193e9f0086e493916bd4f72"},
{file = "yarl-1.18.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3adaaf9c6b1b4fc258584f4443f24d775a2086aee82d1387e48a8b4f3d6aecf6"},
{file = "yarl-1.18.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:da206d1ec78438a563c5429ab808a2b23ad7bc025c8adbf08540dde202be37d5"},
{file = "yarl-1.18.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:576d258b21c1db4c6449b1c572c75d03f16a482eb380be8003682bdbe7db2f28"},
{file = "yarl-1.18.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c60e547c0a375c4bfcdd60eef82e7e0e8698bf84c239d715f5c1278a73050393"},
{file = "yarl-1.18.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e3818eabaefb90adeb5e0f62f047310079d426387991106d4fbf3519eec7d90a"},
{file = "yarl-1.18.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5f72421246c21af6a92fbc8c13b6d4c5427dfd949049b937c3b731f2f9076bd"},
{file = "yarl-1.18.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7fa7d37f2ada0f42e0723632993ed422f2a679af0e200874d9d861720a54f53e"},
{file = "yarl-1.18.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:42ba84e2ac26a3f252715f8ec17e6fdc0cbf95b9617c5367579fafcd7fba50eb"},
{file = "yarl-1.18.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:6a49ad0102c0f0ba839628d0bf45973c86ce7b590cdedf7540d5b1833ddc6f00"},
{file = "yarl-1.18.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:96404e8d5e1bbe36bdaa84ef89dc36f0e75939e060ca5cd45451aba01db02902"},
{file = "yarl-1.18.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:a0509475d714df8f6d498935b3f307cd122c4ca76f7d426c7e1bb791bcd87eda"},
{file = "yarl-1.18.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:1ff116f0285b5c8b3b9a2680aeca29a858b3b9e0402fc79fd850b32c2bcb9f8b"},
{file = "yarl-1.18.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e2580c1d7e66e6d29d6e11855e3b1c6381971e0edd9a5066e6c14d79bc8967af"},
{file = "yarl-1.18.0-cp313-cp313-win32.whl", hash = "sha256:14408cc4d34e202caba7b5ac9cc84700e3421a9e2d1b157d744d101b061a4a88"},
{file = "yarl-1.18.0-cp313-cp313-win_amd64.whl", hash = "sha256:1db1537e9cb846eb0ff206eac667f627794be8b71368c1ab3207ec7b6f8c5afc"},
{file = "yarl-1.18.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fa2c9cb607e0f660d48c54a63de7a9b36fef62f6b8bd50ff592ce1137e73ac7d"},
{file = "yarl-1.18.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c0f4808644baf0a434a3442df5e0bedf8d05208f0719cedcd499e168b23bfdc4"},
{file = "yarl-1.18.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7db9584235895a1dffca17e1c634b13870852094f6389b68dcc6338086aa7b08"},
{file = "yarl-1.18.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:309f8d27d6f93ceeeb80aa6980e883aa57895270f7f41842b92247e65d7aeddf"},
{file = "yarl-1.18.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:609ffd44fed2ed88d9b4ef62ee860cf86446cf066333ad4ce4123505b819e581"},
{file = "yarl-1.18.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f172b8b2c72a13a06ea49225a9c47079549036ad1b34afa12d5491b881f5b993"},
{file = "yarl-1.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d89ae7de94631b60d468412c18290d358a9d805182373d804ec839978b120422"},
{file = "yarl-1.18.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:466d31fd043ef9af822ee3f1df8fdff4e8c199a7f4012c2642006af240eade17"},
{file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7609b8462351c4836b3edce4201acb6dd46187b207c589b30a87ffd1813b48dc"},
{file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:d9d4f5e471e8dc49b593a80766c2328257e405f943c56a3dc985c125732bc4cf"},
{file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:67b336c15e564d76869c9a21316f90edf546809a5796a083b8f57c845056bc01"},
{file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:b212452b80cae26cb767aa045b051740e464c5129b7bd739c58fbb7deb339e7b"},
{file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:38b39b7b3e692b6c92b986b00137a3891eddb66311b229d1940dcbd4f025083c"},
{file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a7ee6884a8848792d58b854946b685521f41d8871afa65e0d4a774954e9c9e89"},
{file = "yarl-1.18.0-cp39-cp39-win32.whl", hash = "sha256:b4095c5019bb889aa866bf12ed4c85c0daea5aafcb7c20d1519f02a1e738f07f"},
{file = "yarl-1.18.0-cp39-cp39-win_amd64.whl", hash = "sha256:2d90f2e4d16a5b0915ee065218b435d2ef619dd228973b1b47d262a6f7cd8fa5"},
{file = "yarl-1.18.0-py3-none-any.whl", hash = "sha256:dbf53db46f7cf176ee01d8d98c39381440776fcda13779d269a8ba664f69bec0"},
{file = "yarl-1.18.0.tar.gz", hash = "sha256:20d95535e7d833889982bfe7cc321b7f63bf8879788fee982c76ae2b24cfb715"},
]
[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
propcache = ">=0.2.0"
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "404c89b48c808637d5e403a000972e4263fc84f9721298386186eee9f37e4879"
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/couchbase/README.md | # langchain-couchbase
This package contains the LangChain integration with Couchbase
## Installation
```bash
pip install -U langchain-couchbase
```
## Usage
The `CouchbaseVectorStore` class exposes the connection to the Couchbase vector store.
```python
from langchain_couchbase.vectorstores import CouchbaseVectorStore
from couchbase.cluster import Cluster
from couchbase.auth import PasswordAuthenticator
from couchbase.options import ClusterOptions
from datetime import timedelta
auth = PasswordAuthenticator(username, password)
options = ClusterOptions(auth)
connect_string = "couchbases://localhost"
cluster = Cluster(connect_string, options)
# Wait until the cluster is ready for use.
cluster.wait_until_ready(timedelta(seconds=5))
embeddings = OpenAIEmbeddings()
vectorstore = CouchbaseVectorStore(
cluster=cluster,
bucket_name="",
scope_name="",
collection_name="",
embedding=embeddings,
index_name="vector-search-index",
)
```
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/couchbase/pyproject.toml | [build-system]
requires = [ "poetry-core>=1.0.0",]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-couchbase"
version = "0.2.2"
description = "An integration package connecting Couchbase and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.mypy]
disallow_untyped_defs = "True"
ignore_missing_imports = "True"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/couchbase"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-couchbase%3D%3D0%22&expanded=true"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = "^0.3.15"
couchbase = "^4.3.2"
[tool.ruff.lint]
select = [ "E", "F", "I", "T201",]
[tool.coverage.run]
omit = [ "tests/*",]
[tool.pytest.ini_options]
addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5"
markers = [ "compile: mark placeholder test used to compile integration tests without running them",]
asyncio_mode = "auto"
[tool.poetry.group.test]
optional = true
[tool.poetry.group.codespell]
optional = true
[tool.poetry.group.test_integration]
optional = true
[tool.poetry.group.lint]
optional = true
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.test.dependencies]
pytest = "^7.4.3"
pytest-asyncio = "^0.23.2"
pytest-socket = "^0.7.0"
syrupy = "^4.0.2"
langchain = "^0.3.0.dev"
[tool.poetry.group.codespell.dependencies]
codespell = "^2.2.6"
[tool.poetry.group.test_integration.dependencies]
[tool.poetry.group.lint.dependencies]
ruff = "^0.5"
[tool.poetry.group.typing.dependencies]
mypy = "^1.10"
[tool.poetry.group.test.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.dev.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.typing.dependencies.langchain-core]
path = "../../core"
develop = true
|
0 | lc_public_repos/langchain/libs/partners/couchbase | lc_public_repos/langchain/libs/partners/couchbase/langchain_couchbase/cache.py | """
LangChain Couchbase Caches
Functions "_hash", "_loads_generations" and "_dumps_generations"
are duplicated in this utility from modules:
- "libs/community/langchain_community/cache.py"
"""
import hashlib
import json
import logging
from datetime import timedelta
from typing import Any, Dict, Optional, Union
from couchbase.cluster import Cluster
from langchain_core.caches import RETURN_VAL_TYPE, BaseCache
from langchain_core.embeddings import Embeddings
from langchain_core.load.dump import dumps
from langchain_core.load.load import loads
from langchain_core.outputs import Generation
from langchain_couchbase.vectorstores import CouchbaseVectorStore
logger = logging.getLogger(__file__)
def _hash(_input: str) -> str:
"""Use a deterministic hashing approach."""
return hashlib.md5(_input.encode()).hexdigest()
def _dumps_generations(generations: RETURN_VAL_TYPE) -> str:
"""
Serialization for generic RETURN_VAL_TYPE, i.e. sequence of `Generation`
Args:
generations (RETURN_VAL_TYPE): A list of language model generations.
Returns:
str: a single string representing a list of generations.
This function (+ its counterpart `_loads_generations`) rely on
the dumps/loads pair with Reviver, so are able to deal
with all subclasses of Generation.
Each item in the list can be `dumps`ed to a string,
then we make the whole list of strings into a json-dumped.
"""
return json.dumps([dumps(_item) for _item in generations])
def _loads_generations(generations_str: str) -> Union[RETURN_VAL_TYPE, None]:
"""
Deserialization of a string into a generic RETURN_VAL_TYPE
(i.e. a sequence of `Generation`).
See `_dumps_generations`, the inverse of this function.
Args:
generations_str (str): A string representing a list of generations.
Compatible with the legacy cache-blob format
Does not raise exceptions for malformed entries, just logs a warning
and returns none: the caller should be prepared for such a cache miss.
Returns:
RETURN_VAL_TYPE: A list of generations.
"""
try:
generations = [loads(_item_str) for _item_str in json.loads(generations_str)]
return generations
except (json.JSONDecodeError, TypeError):
# deferring the (soft) handling to after the legacy-format attempt
pass
try:
gen_dicts = json.loads(generations_str)
# not relying on `_load_generations_from_json` (which could disappear):
generations = [Generation(**generation_dict) for generation_dict in gen_dicts]
logger.warning(
f"Legacy 'Generation' cached blob encountered: '{generations_str}'"
)
return generations
except (json.JSONDecodeError, TypeError):
logger.warning(
f"Malformed/unparsable cached blob encountered: '{generations_str}'"
)
return None
def _validate_ttl(ttl: Optional[timedelta]) -> None:
"""Validate the time to live"""
if not isinstance(ttl, timedelta):
raise ValueError(f"ttl should be of type timedelta but was {type(ttl)}.")
if ttl <= timedelta(seconds=0):
raise ValueError(
f"ttl must be greater than 0 but was {ttl.total_seconds()} seconds."
)
class CouchbaseCache(BaseCache):
"""Couchbase LLM Cache
LLM Cache that uses Couchbase as the backend
"""
PROMPT = "prompt"
LLM = "llm"
RETURN_VAL = "return_val"
def _check_bucket_exists(self) -> bool:
"""Check if the bucket exists in the linked Couchbase cluster"""
bucket_manager = self._cluster.buckets()
try:
bucket_manager.get_bucket(self._bucket_name)
return True
except Exception:
return False
def _check_scope_and_collection_exists(self) -> bool:
"""Check if the scope and collection exists in the linked Couchbase bucket
Raises a ValueError if either is not found"""
scope_collection_map: Dict[str, Any] = {}
# Get a list of all scopes in the bucket
for scope in self._bucket.collections().get_all_scopes():
scope_collection_map[scope.name] = []
# Get a list of all the collections in the scope
for collection in scope.collections:
scope_collection_map[scope.name].append(collection.name)
# Check if the scope exists
if self._scope_name not in scope_collection_map.keys():
raise ValueError(
f"Scope {self._scope_name} not found in Couchbase "
f"bucket {self._bucket_name}"
)
# Check if the collection exists in the scope
if self._collection_name not in scope_collection_map[self._scope_name]:
raise ValueError(
f"Collection {self._collection_name} not found in scope "
f"{self._scope_name} in Couchbase bucket {self._bucket_name}"
)
return True
def __init__(
self,
cluster: Cluster,
bucket_name: str,
scope_name: str,
collection_name: str,
ttl: Optional[timedelta] = None,
**kwargs: Dict[str, Any],
) -> None:
"""Initialize the Couchbase LLM Cache
Args:
cluster (Cluster): couchbase cluster object with active connection.
bucket_name (str): name of the bucket to store documents in.
scope_name (str): name of the scope in bucket to store documents in.
collection_name (str): name of the collection in the scope to store
documents in.
ttl (Optional[timedelta]): TTL or time for the document to live in the cache
After this time, the document will get deleted from the cache.
"""
if not isinstance(cluster, Cluster):
raise ValueError(
f"cluster should be an instance of couchbase.Cluster, "
f"got {type(cluster)}"
)
self._cluster = cluster
self._bucket_name = bucket_name
self._scope_name = scope_name
self._collection_name = collection_name
self._ttl = None
# Check if the bucket exists
if not self._check_bucket_exists():
raise ValueError(
f"Bucket {self._bucket_name} does not exist. "
" Please create the bucket before searching."
)
try:
self._bucket = self._cluster.bucket(self._bucket_name)
self._scope = self._bucket.scope(self._scope_name)
self._collection = self._scope.collection(self._collection_name)
except Exception as e:
raise ValueError(
"Error connecting to couchbase. "
"Please check the connection and credentials."
) from e
# Check if the scope and collection exists. Throws ValueError if they don't
try:
self._check_scope_and_collection_exists()
except Exception as e:
raise e
# Check if the time to live is provided and valid
if ttl is not None:
_validate_ttl(ttl)
self._ttl = ttl
def lookup(self, prompt: str, llm_string: str) -> Optional[RETURN_VAL_TYPE]:
"""Look up from cache based on prompt and llm_string."""
try:
doc = self._collection.get(
self._generate_key(prompt, llm_string)
).content_as[dict]
return _loads_generations(doc[self.RETURN_VAL])
except Exception:
return None
def _generate_key(self, prompt: str, llm_string: str) -> str:
"""Generate the key based on prompt and llm_string."""
return _hash(prompt + llm_string)
def update(self, prompt: str, llm_string: str, return_val: RETURN_VAL_TYPE) -> None:
"""Update cache based on prompt and llm_string."""
doc = {
self.PROMPT: prompt,
self.LLM: llm_string,
self.RETURN_VAL: _dumps_generations(return_val),
}
document_key = self._generate_key(prompt, llm_string)
try:
if self._ttl:
self._collection.upsert(
key=document_key,
value=doc,
expiry=self._ttl,
)
else:
self._collection.upsert(key=document_key, value=doc)
except Exception:
logger.error("Error updating cache")
def clear(self, **kwargs: Any) -> None:
"""Clear the cache.
This will delete all documents in the collection. This requires an index on the
collection.
"""
try:
query = f"DELETE FROM `{self._collection_name}`"
self._scope.query(query).execute()
except Exception:
logger.error("Error clearing cache. Please check if you have an index.")
class CouchbaseSemanticCache(BaseCache, CouchbaseVectorStore):
"""Couchbase Semantic Cache
Cache backed by a Couchbase Server with Vector Store support
"""
LLM = "llm_string"
RETURN_VAL = "return_val"
def __init__(
self,
cluster: Cluster,
embedding: Embeddings,
bucket_name: str,
scope_name: str,
collection_name: str,
index_name: str,
score_threshold: Optional[float] = None,
ttl: Optional[timedelta] = None,
) -> None:
"""Initialize the Couchbase LLM Cache
Args:
cluster (Cluster): couchbase cluster object with active connection.
embedding (Embeddings): embedding model to use.
bucket_name (str): name of the bucket to store documents in.
scope_name (str): name of the scope in bucket to store documents in.
collection_name (str): name of the collection in the scope to store
documents in.
index_name (str): name of the Search index to use.
score_threshold (float): score threshold to use for filtering results.
ttl (Optional[timedelta]): TTL or time for the document to live in the cache
After this time, the document will get deleted from the cache.
"""
if not isinstance(cluster, Cluster):
raise ValueError(
f"cluster should be an instance of couchbase.Cluster, "
f"got {type(cluster)}"
)
self._cluster = cluster
self._bucket_name = bucket_name
self._scope_name = scope_name
self._collection_name = collection_name
self._ttl = None
# Check if the bucket exists
if not self._check_bucket_exists():
raise ValueError(
f"Bucket {self._bucket_name} does not exist. "
" Please create the bucket before searching."
)
try:
self._bucket = self._cluster.bucket(self._bucket_name)
self._scope = self._bucket.scope(self._scope_name)
self._collection = self._scope.collection(self._collection_name)
except Exception as e:
raise ValueError(
"Error connecting to couchbase. "
"Please check the connection and credentials."
) from e
# Check if the scope and collection exists. Throws ValueError if they don't
try:
self._check_scope_and_collection_exists()
except Exception as e:
raise e
self.score_threshold = score_threshold
if ttl is not None:
_validate_ttl(ttl)
self._ttl = ttl
# Initialize the vector store
super().__init__(
cluster=cluster,
bucket_name=bucket_name,
scope_name=scope_name,
collection_name=collection_name,
embedding=embedding,
index_name=index_name,
)
def lookup(self, prompt: str, llm_string: str) -> Optional[RETURN_VAL_TYPE]:
"""Look up from cache based on the semantic similarity of the prompt"""
search_results = self.similarity_search_with_score(
prompt, k=1, search_options={f"metadata.{self.LLM}": llm_string}
)
if search_results:
selected_doc, score = search_results[0]
else:
return None
# Check if the score is above the threshold if a threshold is provided
if self.score_threshold:
if score < self.score_threshold:
return None
# Note that the llm_string might not match the vector search result.
# So if the llm_string does not match, do not return the result.
if selected_doc.metadata["llm_string"] != llm_string:
return None
return _loads_generations(selected_doc.metadata[self.RETURN_VAL])
def update(self, prompt: str, llm_string: str, return_val: RETURN_VAL_TYPE) -> None:
"""Update cache based on the prompt and llm_string"""
try:
self.add_texts(
texts=[prompt],
metadatas=[
{
self.LLM: llm_string,
self.RETURN_VAL: _dumps_generations(return_val),
}
],
ttl=self._ttl,
)
except Exception:
logger.error("Error updating cache")
def clear(self, **kwargs: Any) -> None:
"""Clear the cache.
This will delete all documents in the collection.
This requires an index on the collection.
"""
try:
query = f"DELETE FROM `{self._collection_name}`"
self._scope.query(query).execute()
except Exception:
logger.error("Error clearing cache. Please check if you have an index.")
|
0 | lc_public_repos/langchain/libs/partners/couchbase | lc_public_repos/langchain/libs/partners/couchbase/langchain_couchbase/chat_message_histories.py | """Couchbase Chat Message History"""
import logging
import time
import uuid
from datetime import timedelta
from typing import Any, Dict, List, Optional, Sequence
from couchbase.cluster import Cluster
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import (
BaseMessage,
message_to_dict,
messages_from_dict,
)
logger = logging.getLogger(__name__)
DEFAULT_SESSION_ID_KEY = "session_id"
DEFAULT_MESSAGE_KEY = "message"
DEFAULT_TS_KEY = "ts"
DEFAULT_INDEX_NAME = "LANGCHAIN_CHAT_HISTORY"
DEFAULT_BATCH_SIZE = 100
def _validate_ttl(ttl: Optional[timedelta]) -> None:
"""Validate the time to live"""
if not isinstance(ttl, timedelta):
raise ValueError(f"ttl should be of type timedelta but was {type(ttl)}.")
if ttl <= timedelta(seconds=0):
raise ValueError(
f"ttl must be greater than 0 but was {ttl.total_seconds()} seconds."
)
class CouchbaseChatMessageHistory(BaseChatMessageHistory):
"""Couchbase Chat Message History
Chat message history that uses Couchbase as the storage
"""
def _check_bucket_exists(self) -> bool:
"""Check if the bucket exists in the linked Couchbase cluster"""
bucket_manager = self._cluster.buckets()
try:
bucket_manager.get_bucket(self._bucket_name)
return True
except Exception:
return False
def _check_scope_and_collection_exists(self) -> bool:
"""Check if the scope and collection exists in the linked Couchbase bucket
Raises a ValueError if either is not found"""
scope_collection_map: Dict[str, Any] = {}
# Get a list of all scopes in the bucket
for scope in self._bucket.collections().get_all_scopes():
scope_collection_map[scope.name] = []
# Get a list of all the collections in the scope
for collection in scope.collections:
scope_collection_map[scope.name].append(collection.name)
# Check if the scope exists
if self._scope_name not in scope_collection_map.keys():
raise ValueError(
f"Scope {self._scope_name} not found in Couchbase "
f"bucket {self._bucket_name}"
)
# Check if the collection exists in the scope
if self._collection_name not in scope_collection_map[self._scope_name]:
raise ValueError(
f"Collection {self._collection_name} not found in scope "
f"{self._scope_name} in Couchbase bucket "
f"{self._bucket_name}"
)
return True
def __init__(
self,
*,
cluster: Cluster,
bucket_name: str,
scope_name: str,
collection_name: str,
session_id: str,
session_id_key: str = DEFAULT_SESSION_ID_KEY,
message_key: str = DEFAULT_MESSAGE_KEY,
create_index: bool = True,
ttl: Optional[timedelta] = None,
) -> None:
"""Initialize the Couchbase Chat Message History
Args:
cluster (Cluster): couchbase cluster object with active connection.
bucket_name (str): name of the bucket to store documents in.
scope_name (str): name of the scope in bucket to store documents in.
collection_name (str): name of the collection in the scope to store
documents in.
session_id (str): value for the session used to associate messages from
a single chat session. It is stored as a field in the chat message.
session_id_key (str): name of the field to use for the session id.
Set to "session_id" by default.
message_key (str): name of the field to use for the messages
Set to "message" by default.
create_index (bool): create an index if True. Set to True by default.
ttl (timedelta): time to live for the documents in the collection.
When set, the documents are automatically deleted after the ttl expires.
"""
if not isinstance(cluster, Cluster):
raise ValueError(
f"cluster should be an instance of couchbase.Cluster, "
f"got {type(cluster)}"
)
self._cluster = cluster
self._bucket_name = bucket_name
self._scope_name = scope_name
self._collection_name = collection_name
self._ttl = None
# Check if the bucket exists
if not self._check_bucket_exists():
raise ValueError(
f"Bucket {self._bucket_name} does not exist. "
" Please create the bucket before searching."
)
try:
self._bucket = self._cluster.bucket(self._bucket_name)
self._scope = self._bucket.scope(self._scope_name)
self._collection = self._scope.collection(self._collection_name)
except Exception as e:
raise ValueError(
"Error connecting to couchbase. "
"Please check the connection and credentials."
) from e
# Check if the scope and collection exists. Throws ValueError if they don't
try:
self._check_scope_and_collection_exists()
except Exception as e:
raise e
self._session_id_key = session_id_key
self._message_key = message_key
self._create_index = create_index
self._session_id = session_id
self._ts_key = DEFAULT_TS_KEY
if ttl is not None:
_validate_ttl(ttl)
self._ttl = ttl
# Create an index if it does not exist if requested
if create_index:
index_fields = (
f"({self._session_id_key}, {self._ts_key}, {self._message_key})"
)
index_creation_query = (
f"CREATE INDEX {DEFAULT_INDEX_NAME} IF NOT EXISTS ON "
+ f"{self._collection_name}{index_fields} "
)
try:
self._scope.query(index_creation_query).execute()
except Exception as e:
logger.error("Error creating index: ", e)
def add_message(self, message: BaseMessage) -> None:
"""Add a message to the cache"""
# Generate a UUID for the document key
document_key = uuid.uuid4().hex
# get utc timestamp for ordering the messages
timestamp = time.time()
message_content = message_to_dict(message)
try:
if self._ttl:
self._collection.insert(
document_key,
value={
self._message_key: message_content,
self._session_id_key: self._session_id,
self._ts_key: timestamp,
},
expiry=self._ttl,
)
else:
self._collection.insert(
document_key,
value={
self._message_key: message_content,
self._session_id_key: self._session_id,
self._ts_key: timestamp,
},
)
except Exception as e:
logger.error("Error adding message: ", e)
def add_messages(self, messages: Sequence[BaseMessage]) -> None:
"""Add messages to the cache in a batched manner"""
batch_size = DEFAULT_BATCH_SIZE
messages_to_insert = []
for message in messages:
document_key = uuid.uuid4().hex
timestamp = time.time()
message_content = message_to_dict(message)
messages_to_insert.append(
{
document_key: {
self._message_key: message_content,
self._session_id_key: self._session_id,
self._ts_key: timestamp,
},
}
)
# Add the messages to the cache in batches of batch_size
try:
for i in range(0, len(messages_to_insert), batch_size):
batch = messages_to_insert[i : i + batch_size]
# Convert list of dictionaries to a single dictionary to insert
insert_batch = {list(d.keys())[0]: list(d.values())[0] for d in batch}
if self._ttl:
self._collection.insert_multi(insert_batch, expiry=self._ttl)
else:
self._collection.insert_multi(insert_batch)
except Exception as e:
logger.error("Error adding messages: ", e)
def clear(self) -> None:
"""Clear the cache"""
# Delete all documents in the collection with the session_id
clear_query = (
f"DELETE FROM `{self._collection_name}`"
+ f"WHERE {self._session_id_key}=$session_id"
)
try:
self._scope.query(clear_query, session_id=self._session_id).execute()
except Exception as e:
logger.error("Error clearing cache: ", e)
@property
def messages(self) -> List[BaseMessage]:
"""Get all messages in the cache associated with the session_id"""
fetch_query = (
f"SELECT {self._message_key} FROM `{self._collection_name}` "
+ f"where {self._session_id_key}=$session_id"
+ f" ORDER BY {self._ts_key} ASC"
)
message_items = []
try:
result = self._scope.query(fetch_query, session_id=self._session_id)
for document in result:
message_items.append(document[f"{self._message_key}"])
except Exception as e:
logger.error("Error fetching messages: ", e)
return messages_from_dict(message_items)
@messages.setter
def messages(self, messages: List[BaseMessage]) -> None:
raise NotImplementedError(
"Direct assignment to 'messages' is not allowed."
" Use the 'add_messages' instead."
)
|
0 | lc_public_repos/langchain/libs/partners/couchbase | lc_public_repos/langchain/libs/partners/couchbase/langchain_couchbase/vectorstores.py | """Couchbase vector stores."""
from __future__ import annotations
import uuid
from typing import (
Any,
Dict,
Iterable,
List,
Optional,
Tuple,
Type,
)
import couchbase.search as search
from couchbase.cluster import Cluster
from couchbase.exceptions import DocumentExistsException, DocumentNotFoundException
from couchbase.options import SearchOptions
from couchbase.vector_search import VectorQuery, VectorSearch
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
class CouchbaseVectorStore(VectorStore):
"""__ModuleName__ vector store integration.
Setup:
Install ``langchain-couchbase`` and head over to the Couchbase [website](https://cloud.couchbase.com) and create a new connection, with a bucket, collection, and search index.
.. code-block:: bash
pip install -U langchain-couchbase
.. code-block:: python
import getpass
COUCHBASE_CONNECTION_STRING = getpass.getpass("Enter the connection string for the Couchbase cluster: ")
DB_USERNAME = getpass.getpass("Enter the username for the Couchbase cluster: ")
DB_PASSWORD = getpass.getpass("Enter the password for the Couchbase cluster: ")
Key init args — indexing params:
embedding: Embeddings
Embedding function to use.
Key init args — client params:
cluster: Cluster
Couchbase cluster object with active connection.
bucket_name: str
Name of the bucket to store documents in.
scope_name: str
Name of the scope in the bucket to store documents in.
collection_name: str
Name of the collection in the scope to store documents in.
index_name: str
Name of the Search index to use.
Instantiate:
.. code-block:: python
from datetime import timedelta
from langchain_openai import OpenAIEmbeddings
from couchbase.auth import PasswordAuthenticator
from couchbase.cluster import Cluster
from couchbase.options import ClusterOptions
auth = PasswordAuthenticator(DB_USERNAME, DB_PASSWORD)
options = ClusterOptions(auth)
cluster = Cluster(COUCHBASE_CONNECTION_STRING, options)
# Wait until the cluster is ready for use.
cluster.wait_until_ready(timedelta(seconds=5))
BUCKET_NAME = "langchain_bucket"
SCOPE_NAME = "_default"
COLLECTION_NAME = "default"
SEARCH_INDEX_NAME = "langchain-test-index"
vector_store = CouchbaseVectorStore(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
embedding=embeddings,
index_name=SEARCH_INDEX_NAME,
)
Add Documents:
.. code-block:: python
from langchain_core.documents import Document
document_1 = Document(page_content="foo", metadata={"baz": "bar"})
document_2 = Document(page_content="thud", metadata={"bar": "baz"})
document_3 = Document(page_content="i will be deleted :(")
documents = [document_1, document_2, document_3]
ids = ["1", "2", "3"]
vector_store.add_documents(documents=documents, ids=ids)
Delete Documents:
.. code-block:: python
vector_store.delete(ids=["3"])
# TODO: Fill out with example output.
Search:
.. code-block:: python
results = vector_store.similarity_search(query="thud",k=1)
for doc in results:
print(f"* {doc.page_content} [{doc.metadata}]")
.. code-block:: python
# TODO: Example output
# TODO: Fill out with relevant variables and example output.
Search with filter:
.. code-block:: python
# TODO: Update filter to correct format
results = vector_store.similarity_search(query="thud",k=1,filter={"bar": "baz"})
for doc in results:
print(f"* {doc.page_content} [{doc.metadata}]")
.. code-block:: python
# TODO: Example output
# TODO: Fill out with example output.
Search with score:
.. code-block:: python
results = vector_store.similarity_search_with_score(query="qux",k=1)
for doc, score in results:
print(f"* [SIM={score:3f}] {doc.page_content} [{doc.metadata}]")
.. code-block:: python
# TODO: Example output
# TODO: Fill out with example output.
Async:
.. code-block:: python
# add documents
# await vector_store.aadd_documents(documents=documents, ids=ids)
# delete documents
# await vector_store.adelete(ids=["3"])
# search
# results = vector_store.asimilarity_search(query="thud",k=1)
# search with score
results = await vector_store.asimilarity_search_with_score(query="qux",k=1)
for doc,score in results:
print(f"* [SIM={score:3f}] {doc.page_content} [{doc.metadata}]")
.. code-block:: python
# TODO: Example output
# TODO: Fill out with example output.
Use as Retriever:
.. code-block:: python
retriever = vector_store.as_retriever(
search_type="mmr",
search_kwargs={"k": 1, "fetch_k": 2, "lambda_mult": 0.5},
)
retriever.invoke("thud")
.. code-block:: python
# TODO: Example output
""" # noqa: E501
# Default batch size
DEFAULT_BATCH_SIZE = 100
_metadata_key = "metadata"
_default_text_key = "text"
_default_embedding_key = "embedding"
def _check_bucket_exists(self) -> bool:
"""Check if the bucket exists in the linked Couchbase cluster"""
bucket_manager = self._cluster.buckets()
try:
bucket_manager.get_bucket(self._bucket_name)
return True
except Exception:
return False
def _check_scope_and_collection_exists(self) -> bool:
"""Check if the scope and collection exists in the linked Couchbase bucket
Raises a ValueError if either is not found"""
scope_collection_map: Dict[str, Any] = {}
# Get a list of all scopes in the bucket
for scope in self._bucket.collections().get_all_scopes():
scope_collection_map[scope.name] = []
# Get a list of all the collections in the scope
for collection in scope.collections:
scope_collection_map[scope.name].append(collection.name)
# Check if the scope exists
if self._scope_name not in scope_collection_map.keys():
raise ValueError(
f"Scope {self._scope_name} not found in Couchbase "
f"bucket {self._bucket_name}"
)
# Check if the collection exists in the scope
if self._collection_name not in scope_collection_map[self._scope_name]:
raise ValueError(
f"Collection {self._collection_name} not found in scope "
f"{self._scope_name} in Couchbase bucket {self._bucket_name}"
)
return True
def _check_index_exists(self) -> bool:
"""Check if the Search index exists in the linked Couchbase cluster
Raises a ValueError if the index does not exist"""
if self._scoped_index:
all_indexes = [
index.name for index in self._scope.search_indexes().get_all_indexes()
]
if self._index_name not in all_indexes:
raise ValueError(
f"Index {self._index_name} does not exist. "
" Please create the index before searching."
)
else:
all_indexes = [
index.name for index in self._cluster.search_indexes().get_all_indexes()
]
if self._index_name not in all_indexes:
raise ValueError(
f"Index {self._index_name} does not exist. "
" Please create the index before searching."
)
return True
def __init__(
self,
cluster: Cluster,
bucket_name: str,
scope_name: str,
collection_name: str,
embedding: Embeddings,
index_name: str,
*,
text_key: Optional[str] = _default_text_key,
embedding_key: Optional[str] = _default_embedding_key,
scoped_index: bool = True,
) -> None:
"""
Initialize the Couchbase Vector Store.
Args:
cluster (Cluster): couchbase cluster object with active connection.
bucket_name (str): name of bucket to store documents in.
scope_name (str): name of scope in the bucket to store documents in.
collection_name (str): name of collection in the scope to store documents in
embedding (Embeddings): embedding function to use.
index_name (str): name of the Search index to use.
text_key (optional[str]): key in document to use as text.
Set to text by default.
embedding_key (optional[str]): key in document to use for the embeddings.
Set to embedding by default.
scoped_index (optional[bool]): specify whether the index is a scoped index.
Set to True by default.
"""
if not isinstance(cluster, Cluster):
raise ValueError(
f"cluster should be an instance of couchbase.Cluster, "
f"got {type(cluster)}"
)
self._cluster = cluster
if not embedding:
raise ValueError("Embeddings instance must be provided.")
if not bucket_name:
raise ValueError("bucket_name must be provided.")
if not scope_name:
raise ValueError("scope_name must be provided.")
if not collection_name:
raise ValueError("collection_name must be provided.")
if not index_name:
raise ValueError("index_name must be provided.")
self._bucket_name = bucket_name
self._scope_name = scope_name
self._collection_name = collection_name
self._embedding_function = embedding
self._text_key = text_key
self._embedding_key = embedding_key
self._index_name = index_name
self._scoped_index = scoped_index
# Check if the bucket exists
if not self._check_bucket_exists():
raise ValueError(
f"Bucket {self._bucket_name} does not exist. "
" Please create the bucket before searching."
)
try:
self._bucket = self._cluster.bucket(self._bucket_name)
self._scope = self._bucket.scope(self._scope_name)
self._collection = self._scope.collection(self._collection_name)
except Exception as e:
raise ValueError(
"Error connecting to couchbase. "
"Please check the connection and credentials."
) from e
# Check if the scope and collection exists. Throws ValueError if they don't
try:
self._check_scope_and_collection_exists()
except Exception as e:
raise e
# Check if the index exists. Throws ValueError if it doesn't
try:
self._check_index_exists()
except Exception as e:
raise e
def add_texts(
self,
texts: Iterable[str],
metadatas: Optional[List[dict]] = None,
ids: Optional[List[str]] = None,
batch_size: Optional[int] = None,
**kwargs: Any,
) -> List[str]:
"""Run texts through the embeddings and persist in vectorstore.
If the document IDs are passed, the existing documents (if any) will be
overwritten with the new ones.
Args:
texts (Iterable[str]): Iterable of strings to add to the vectorstore.
metadatas (Optional[List[Dict]]): Optional list of metadatas associated
with the texts.
ids (Optional[List[str]]): Optional list of ids associated with the texts.
IDs have to be unique strings across the collection.
If it is not specified uuids are generated and used as ids.
batch_size (Optional[int]): Optional batch size for bulk insertions.
Default is 100.
Returns:
List[str]:List of ids from adding the texts into the vectorstore.
"""
if not batch_size:
batch_size = self.DEFAULT_BATCH_SIZE
doc_ids: List[str] = []
if ids is None:
ids = [uuid.uuid4().hex for _ in texts]
if metadatas is None:
metadatas = [{} for _ in texts]
# Check if TTL is provided
ttl = kwargs.get("ttl", None)
embedded_texts = self._embedding_function.embed_documents(list(texts))
documents_to_insert = [
{
id: {
self._text_key: text,
self._embedding_key: vector,
self._metadata_key: metadata,
}
for id, text, vector, metadata in zip(
ids, texts, embedded_texts, metadatas
)
}
]
# Insert in batches
for i in range(0, len(documents_to_insert), batch_size):
batch = documents_to_insert[i : i + batch_size]
try:
# Insert with TTL if provided
if ttl:
result = self._collection.upsert_multi(batch[0], expiry=ttl)
else:
result = self._collection.upsert_multi(batch[0])
if result.all_ok:
doc_ids.extend(batch[0].keys())
except DocumentExistsException as e:
raise ValueError(f"Document already exists: {e}")
return doc_ids
def delete(self, ids: Optional[List[str]] = None, **kwargs: Any) -> Optional[bool]:
"""Delete documents from the vector store by ids.
Args:
ids (List[str]): List of IDs of the documents to delete.
batch_size (Optional[int]): Optional batch size for bulk deletions.
Returns:
bool: True if all the documents were deleted successfully, False otherwise.
"""
if ids is None:
raise ValueError("No document ids provided to delete.")
batch_size = kwargs.get("batch_size", self.DEFAULT_BATCH_SIZE)
deletion_status = True
# Delete in batches
for i in range(0, len(ids), batch_size):
batch = ids[i : i + batch_size]
try:
result = self._collection.remove_multi(batch)
except DocumentNotFoundException as e:
deletion_status = False
raise ValueError(f"Document not found: {e}")
deletion_status &= result.all_ok
return deletion_status
@property
def embeddings(self) -> Embeddings:
"""Return the query embedding object."""
return self._embedding_function
def _format_metadata(self, row_fields: Dict[str, Any]) -> Dict[str, Any]:
"""Helper method to format the metadata from the Couchbase Search API.
Args:
row_fields (Dict[str, Any]): The fields to format.
Returns:
Dict[str, Any]: The formatted metadata.
"""
metadata = {}
for key, value in row_fields.items():
# Couchbase Search returns the metadata key with a prefix
# `metadata.` We remove it to get the original metadata key
if key.startswith(self._metadata_key):
new_key = key.split(self._metadata_key + ".")[-1]
metadata[new_key] = value
else:
metadata[key] = value
return metadata
def similarity_search(
self,
query: str,
k: int = 4,
search_options: Optional[Dict[str, Any]] = {},
**kwargs: Any,
) -> List[Document]:
"""Return documents most similar to embedding vector with their scores.
Args:
query (str): Query to look up for similar documents
k (int): Number of Documents to return.
Defaults to 4.
search_options (Optional[Dict[str, Any]]): Optional search options that are
passed to Couchbase search.
Defaults to empty dictionary
fields (Optional[List[str]]): Optional list of fields to include in the
metadata of results. Note that these need to be stored in the index.
If nothing is specified, defaults to all the fields stored in the index.
Returns:
List of Documents most similar to the query.
"""
query_embedding = self.embeddings.embed_query(query)
docs_with_scores = self.similarity_search_with_score_by_vector(
query_embedding, k, search_options, **kwargs
)
return [doc for doc, _ in docs_with_scores]
def similarity_search_with_score_by_vector(
self,
embedding: List[float],
k: int = 4,
search_options: Optional[Dict[str, Any]] = {},
**kwargs: Any,
) -> List[Tuple[Document, float]]:
"""Return docs most similar to embedding vector with their scores.
Args:
embedding (List[float]): Embedding vector to look up documents similar to.
k (int): Number of Documents to return.
Defaults to 4.
search_options (Optional[Dict[str, Any]]): Optional search options that are
passed to Couchbase search.
Defaults to empty dictionary.
fields (Optional[List[str]]): Optional list of fields to include in the
metadata of results. Note that these need to be stored in the index.
If nothing is specified, defaults to all the fields stored in the index.
Returns:
List of (Document, score) that are the most similar to the query vector.
"""
fields = kwargs.get("fields", ["*"])
# Document text field needs to be returned from the search
if fields != ["*"] and self._text_key not in fields:
fields.append(self._text_key)
search_req = search.SearchRequest.create(
VectorSearch.from_vector_query(
VectorQuery(
self._embedding_key,
embedding,
k,
)
)
)
try:
if self._scoped_index:
search_iter = self._scope.search(
self._index_name,
search_req,
SearchOptions(
limit=k,
fields=fields,
raw=search_options,
),
)
else:
search_iter = self._cluster.search(
self._index_name,
search_req,
SearchOptions(limit=k, fields=fields, raw=search_options),
)
docs_with_score = []
# Parse the results
for row in search_iter.rows():
text = row.fields.pop(self._text_key, "")
id = row.id
# Format the metadata from Couchbase
metadata = self._format_metadata(row.fields)
score = row.score
doc = Document(id=id, page_content=text, metadata=metadata)
docs_with_score.append((doc, score))
except Exception as e:
raise ValueError(f"Search failed with error: {e}")
return docs_with_score
def similarity_search_with_score(
self,
query: str,
k: int = 4,
search_options: Optional[Dict[str, Any]] = {},
**kwargs: Any,
) -> List[Tuple[Document, float]]:
"""Return documents that are most similar to the query with their scores.
Args:
query (str): Query to look up for similar documents
k (int): Number of Documents to return.
Defaults to 4.
search_options (Optional[Dict[str, Any]]): Optional search options that are
passed to Couchbase search.
Defaults to empty dictionary.
fields (Optional[List[str]]): Optional list of fields to include in the
metadata of results. Note that these need to be stored in the index.
If nothing is specified, defaults to text and metadata fields.
Returns:
List of (Document, score) that are most similar to the query.
"""
query_embedding = self.embeddings.embed_query(query)
docs_with_score = self.similarity_search_with_score_by_vector(
query_embedding, k, search_options, **kwargs
)
return docs_with_score
def similarity_search_by_vector(
self,
embedding: List[float],
k: int = 4,
search_options: Optional[Dict[str, Any]] = {},
**kwargs: Any,
) -> List[Document]:
"""Return documents that are most similar to the vector embedding.
Args:
embedding (List[float]): Embedding to look up documents similar to.
k (int): Number of Documents to return.
Defaults to 4.
search_options (Optional[Dict[str, Any]]): Optional search options that are
passed to Couchbase search.
Defaults to empty dictionary.
fields (Optional[List[str]]): Optional list of fields to include in the
metadata of results. Note that these need to be stored in the index.
If nothing is specified, defaults to document text and metadata fields.
Returns:
List of Documents most similar to the query.
"""
docs_with_score = self.similarity_search_with_score_by_vector(
embedding, k, search_options, **kwargs
)
return [doc for doc, _ in docs_with_score]
@classmethod
def _from_kwargs(
cls: Type[CouchbaseVectorStore],
embedding: Embeddings,
**kwargs: Any,
) -> CouchbaseVectorStore:
"""Initialize the Couchbase vector store from keyword arguments for the
vector store.
Args:
embedding: Embedding object to use to embed text.
**kwargs: Keyword arguments to initialize the vector store with.
Accepted arguments are:
- cluster
- bucket_name
- scope_name
- collection_name
- index_name
- text_key
- embedding_key
- scoped_index
"""
cluster = kwargs.get("cluster", None)
bucket_name = kwargs.get("bucket_name", None)
scope_name = kwargs.get("scope_name", None)
collection_name = kwargs.get("collection_name", None)
index_name = kwargs.get("index_name", None)
text_key = kwargs.get("text_key", cls._default_text_key)
embedding_key = kwargs.get("embedding_key", cls._default_embedding_key)
scoped_index = kwargs.get("scoped_index", True)
return cls(
embedding=embedding,
cluster=cluster,
bucket_name=bucket_name,
scope_name=scope_name,
collection_name=collection_name,
index_name=index_name,
text_key=text_key,
embedding_key=embedding_key,
scoped_index=scoped_index,
)
@classmethod
def from_texts(
cls: Type[CouchbaseVectorStore],
texts: List[str],
embedding: Embeddings,
metadatas: Optional[List[dict]] = None,
**kwargs: Any,
) -> CouchbaseVectorStore:
"""Construct a Couchbase vector store from a list of texts.
Example:
.. code-block:: python
from langchain_couchbase import CouchbaseVectorStore
from langchain_openai import OpenAIEmbeddings
from couchbase.cluster import Cluster
from couchbase.auth import PasswordAuthenticator
from couchbase.options import ClusterOptions
from datetime import timedelta
auth = PasswordAuthenticator(username, password)
options = ClusterOptions(auth)
connect_string = "couchbases://localhost"
cluster = Cluster(connect_string, options)
# Wait until the cluster is ready for use.
cluster.wait_until_ready(timedelta(seconds=5))
embeddings = OpenAIEmbeddings()
texts = ["hello", "world"]
vectorstore = CouchbaseVectorStore.from_texts(
texts,
embedding=embeddings,
cluster=cluster,
bucket_name="",
scope_name="",
collection_name="",
index_name="vector-index",
)
Args:
texts (List[str]): list of texts to add to the vector store.
embedding (Embeddings): embedding function to use.
metadatas (optional[List[Dict]): list of metadatas to add to documents.
**kwargs: Keyword arguments used to initialize the vector store with and/or
passed to `add_texts` method. Check the constructor and/or `add_texts`
for the list of accepted arguments.
Returns:
A Couchbase vector store.
"""
vector_store = cls._from_kwargs(embedding, **kwargs)
batch_size = kwargs.get("batch_size", vector_store.DEFAULT_BATCH_SIZE)
ids = kwargs.get("ids", None)
vector_store.add_texts(
texts, metadatas=metadatas, ids=ids, batch_size=batch_size
)
return vector_store
|
0 | lc_public_repos/langchain/libs/partners/couchbase | lc_public_repos/langchain/libs/partners/couchbase/langchain_couchbase/__init__.py | from langchain_couchbase.cache import CouchbaseCache, CouchbaseSemanticCache
from langchain_couchbase.chat_message_histories import CouchbaseChatMessageHistory
from langchain_couchbase.vectorstores import CouchbaseVectorStore
__all__ = [
"CouchbaseVectorStore",
"CouchbaseCache",
"CouchbaseSemanticCache",
"CouchbaseChatMessageHistory",
]
|
0 | lc_public_repos/langchain/libs/partners/couchbase | lc_public_repos/langchain/libs/partners/couchbase/tests/utils.py | """Utilities for testing purposes."""
import hashlib
from datetime import datetime
from typing import Any, Dict, List, Mapping, Optional, cast
from couchbase.cluster import Cluster
from couchbase.options import GetOptions
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.embeddings import Embeddings
from langchain_core.language_models.llms import LLM
class FakeEmbeddings(Embeddings):
"""Fake embeddings functionality for testing."""
def embed_documents(self, texts: List[str]) -> List[List[float]]:
"""Return simple embeddings.
Embeddings encode each text as its index."""
return [[float(1.0)] * 9 + [float(i)] for i in range(len(texts))]
async def aembed_documents(self, texts: List[str]) -> List[List[float]]:
return self.embed_documents(texts)
def embed_query(self, text: str) -> List[float]:
"""Return constant query embeddings.
Embeddings are identical to embed_documents(texts)[0].
Distance to each text will be that text's index,
as it was passed to embed_documents."""
return [float(1.0)] * 9 + [float(0.0)]
async def aembed_query(self, text: str) -> List[float]:
return self.embed_query(text)
class ConsistentFakeEmbeddings(FakeEmbeddings):
"""Fake embeddings which remember all the texts seen so far to return consistent
vectors for the same texts."""
def __init__(self, dimensionality: int = 10) -> None:
self.known_texts: List[str] = []
self.dimensionality = dimensionality
def embed_documents(self, texts: List[str]) -> List[List[float]]:
"""Return consistent embeddings for each text seen so far."""
out_vectors = []
for text in texts:
if text not in self.known_texts:
self.known_texts.append(text)
vector = [float(1.0)] * (self.dimensionality - 1) + [
float(self.known_texts.index(text))
]
out_vectors.append(vector)
return out_vectors
def embed_query(self, text: str) -> List[float]:
"""Return consistent embeddings for the text, if seen before, or a constant
one if the text is unknown."""
return self.embed_documents([text])[0]
class FakeLLM(LLM):
"""Fake LLM wrapper for testing purposes."""
queries: Optional[Mapping] = None
sequential_responses: Optional[bool] = False
response_index: int = 0
def get_num_tokens(self, text: str) -> int:
"""Return number of tokens."""
return len(text.split())
@property
def _llm_type(self) -> str:
"""Return type of llm."""
return "fake"
def _call(
self,
prompt: str,
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> str:
if self.sequential_responses:
return self._get_next_response_in_sequence
if self.queries is not None:
return self.queries[prompt]
if stop is None:
return "foo"
else:
return "bar"
@property
def _identifying_params(self) -> Dict[str, Any]:
return {}
@property
def _get_next_response_in_sequence(self) -> str:
queries = cast(Mapping, self.queries)
response = queries[list(queries.keys())[self.response_index]]
self.response_index = self.response_index + 1
return response
def cache_key_hash_function(_input: str) -> str:
"""Use a deterministic hashing approach."""
return hashlib.md5(_input.encode()).hexdigest()
def fetch_document_expiry_time(
cluster: Cluster,
bucket_name: str,
scope_name: str,
collection_name: str,
document_key: str,
) -> datetime:
"""Fetch the document's expiry time from the database."""
collection = (
cluster.bucket(bucket_name).scope(scope_name).collection(collection_name)
)
result = collection.get(document_key, GetOptions(with_expiry=True))
return result.expiryTime
def get_document_keys(
cluster: Cluster, bucket_name: str, scope_name: str, query: str
) -> List[str]:
"""Get the document key from the database based on the query using meta().id."""
scope = cluster.bucket(bucket_name).scope(scope_name)
result = scope.query(query).execute()
document_keys = [row["id"] for row in result]
return document_keys
|
0 | lc_public_repos/langchain/libs/partners/couchbase/tests | lc_public_repos/langchain/libs/partners/couchbase/tests/integration_tests/test_cache.py | """Test Couchbase Cache functionality"""
import os
from datetime import datetime, timedelta
from typing import Any
import pytest
from couchbase.auth import PasswordAuthenticator
from couchbase.cluster import Cluster
from couchbase.options import ClusterOptions
from langchain_core.globals import get_llm_cache, set_llm_cache
from langchain_core.outputs import Generation
from langchain_couchbase.cache import CouchbaseCache, CouchbaseSemanticCache
from tests.utils import (
FakeEmbeddings,
FakeLLM,
cache_key_hash_function,
fetch_document_expiry_time,
get_document_keys,
)
CONNECTION_STRING = os.getenv("COUCHBASE_CONNECTION_STRING", "")
BUCKET_NAME = os.getenv("COUCHBASE_BUCKET_NAME", "")
SCOPE_NAME = os.getenv("COUCHBASE_SCOPE_NAME", "")
CACHE_COLLECTION_NAME = os.getenv("COUCHBASE_CACHE_COLLECTION_NAME", "")
SEMANTIC_CACHE_COLLECTION_NAME = os.getenv(
"COUCHBASE_SEMANTIC_CACHE_COLLECTION_NAME", ""
)
USERNAME = os.getenv("COUCHBASE_USERNAME", "")
PASSWORD = os.getenv("COUCHBASE_PASSWORD", "")
INDEX_NAME = os.getenv("COUCHBASE_SEMANTIC_CACHE_INDEX_NAME", "")
def set_all_env_vars() -> bool:
"""Check if all environment variables are set"""
return all(
[
CONNECTION_STRING,
BUCKET_NAME,
SCOPE_NAME,
CACHE_COLLECTION_NAME,
USERNAME,
PASSWORD,
INDEX_NAME,
]
)
def get_cluster() -> Any:
"""Get a couchbase cluster object"""
auth = PasswordAuthenticator(USERNAME, PASSWORD)
options = ClusterOptions(auth)
connect_string = CONNECTION_STRING
cluster = Cluster(connect_string, options)
# Wait until the cluster is ready for use.
cluster.wait_until_ready(timedelta(seconds=5))
return cluster
@pytest.fixture()
def cluster() -> Any:
"""Get a couchbase cluster object"""
return get_cluster()
@pytest.mark.skipif(
not set_all_env_vars(), reason="Missing Couchbase environment variables"
)
class TestCouchbaseCache:
def test_cache(self, cluster: Any) -> None:
"""Test standard LLM cache functionality"""
set_llm_cache(
CouchbaseCache(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=CACHE_COLLECTION_NAME,
)
)
llm = FakeLLM()
params = llm.dict()
params["stop"] = None
llm_string = str(sorted([(k, v) for k, v in params.items()]))
get_llm_cache().update("foo", llm_string, [Generation(text="fizz")])
cache_output = get_llm_cache().lookup("foo", llm_string)
assert cache_output == [Generation(text="fizz")]
get_llm_cache().clear()
output = get_llm_cache().lookup("bar", llm_string)
assert output != [Generation(text="fizz")]
def test_cache_with_ttl(self, cluster: Any) -> None:
"""Test standard LLM cache functionality with TTL"""
ttl = timedelta(minutes=10)
set_llm_cache(
CouchbaseCache(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=CACHE_COLLECTION_NAME,
ttl=ttl,
)
)
llm = FakeLLM()
params = llm.dict()
params["stop"] = None
llm_string = str(sorted([(k, v) for k, v in params.items()]))
get_llm_cache().update("foo", llm_string, [Generation(text="fizz")])
cache_output = get_llm_cache().lookup("foo", llm_string)
assert cache_output == [Generation(text="fizz")]
# Check the document's expiry time by fetching it from the database
document_key = cache_key_hash_function("foo" + llm_string)
document_expiry_time = fetch_document_expiry_time(
cluster, BUCKET_NAME, SCOPE_NAME, CACHE_COLLECTION_NAME, document_key
)
current_time = datetime.now()
time_to_expiry = document_expiry_time - current_time
assert time_to_expiry < ttl
def test_semantic_cache(self, cluster: Any) -> None:
"""Test semantic LLM cache functionality"""
set_llm_cache(
CouchbaseSemanticCache(
cluster=cluster,
embedding=FakeEmbeddings(),
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=SEMANTIC_CACHE_COLLECTION_NAME,
)
)
llm = FakeLLM()
params = llm.dict()
params["stop"] = None
llm_string = str(sorted([(k, v) for k, v in params.items()]))
get_llm_cache().update(
"foo", llm_string, [Generation(text="fizz"), Generation(text="Buzz")]
)
# foo and bar will have the same embedding produced by FakeEmbeddings
cache_output = get_llm_cache().lookup("bar", llm_string)
assert cache_output == [Generation(text="fizz"), Generation(text="Buzz")]
# clear the cache
get_llm_cache().clear()
output = get_llm_cache().lookup("bar", llm_string)
assert output != [Generation(text="fizz"), Generation(text="Buzz")]
def test_semantic_cache_with_ttl(self, cluster: Any) -> None:
"""Test semantic LLM cache functionality with TTL"""
ttl = timedelta(minutes=10)
set_llm_cache(
CouchbaseSemanticCache(
cluster=cluster,
embedding=FakeEmbeddings(),
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=SEMANTIC_CACHE_COLLECTION_NAME,
ttl=ttl,
)
)
llm = FakeLLM()
params = llm.dict()
params["stop"] = None
llm_string = str(sorted([(k, v) for k, v in params.items()]))
# Add a document to the cache
seed_prompt = "foo"
get_llm_cache().update(
seed_prompt, llm_string, [Generation(text="fizz"), Generation(text="Buzz")]
)
# foo and bar will have the same embedding produced by FakeEmbeddings
cache_output = get_llm_cache().lookup("bar", llm_string)
assert cache_output == [Generation(text="fizz"), Generation(text="Buzz")]
# Check the document's expiry time by fetching it from the database
fetch_document_query = (
f"SELECT meta().id, * from `{SEMANTIC_CACHE_COLLECTION_NAME}` doc "
f"WHERE doc.text = '{seed_prompt}'"
)
document_keys = get_document_keys(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
query=fetch_document_query,
)
assert len(document_keys) == 1
document_expiry_time = fetch_document_expiry_time(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=SEMANTIC_CACHE_COLLECTION_NAME,
document_key=document_keys[0],
)
current_time = datetime.now()
time_to_expiry = document_expiry_time - current_time
assert time_to_expiry < ttl
|
0 | lc_public_repos/langchain/libs/partners/couchbase/tests | lc_public_repos/langchain/libs/partners/couchbase/tests/integration_tests/test_compile.py | import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
|
0 | lc_public_repos/langchain/libs/partners/couchbase/tests | lc_public_repos/langchain/libs/partners/couchbase/tests/integration_tests/test_chat_message_history.py | """Test Couchbase Chat Message History functionality"""
import os
import time
from datetime import datetime, timedelta
from typing import Any
import pytest
from couchbase.auth import PasswordAuthenticator
from couchbase.cluster import Cluster
from couchbase.options import ClusterOptions
from langchain.memory import ConversationBufferMemory
from langchain_core.messages import AIMessage, HumanMessage
from langchain_couchbase.chat_message_histories import CouchbaseChatMessageHistory
from tests.utils import fetch_document_expiry_time, get_document_keys
CONNECTION_STRING = os.getenv("COUCHBASE_CONNECTION_STRING", "")
BUCKET_NAME = os.getenv("COUCHBASE_BUCKET_NAME", "")
SCOPE_NAME = os.getenv("COUCHBASE_SCOPE_NAME", "")
MESSAGE_HISTORY_COLLECTION_NAME = os.getenv(
"COUCHBASE_CHAT_HISTORY_COLLECTION_NAME", ""
)
USERNAME = os.getenv("COUCHBASE_USERNAME", "")
PASSWORD = os.getenv("COUCHBASE_PASSWORD", "")
SLEEP_DURATION = 0.2
def set_all_env_vars() -> bool:
"""Check if all environment variables are set"""
return all(
[
CONNECTION_STRING,
BUCKET_NAME,
SCOPE_NAME,
MESSAGE_HISTORY_COLLECTION_NAME,
USERNAME,
PASSWORD,
]
)
def get_cluster() -> Any:
"""Get a couchbase cluster object"""
auth = PasswordAuthenticator(USERNAME, PASSWORD)
options = ClusterOptions(auth)
connect_string = CONNECTION_STRING
cluster = Cluster(connect_string, options)
# Wait until the cluster is ready for use.
cluster.wait_until_ready(timedelta(seconds=5))
return cluster
@pytest.fixture()
def cluster() -> Any:
"""Get a couchbase cluster object"""
return get_cluster()
@pytest.mark.skipif(
not set_all_env_vars(), reason="Missing Couchbase environment variables"
)
class TestCouchbaseCache:
def test_memory_with_message_store(self, cluster: Any) -> None:
"""Test chat message history with a message store"""
message_history = CouchbaseChatMessageHistory(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
session_id="test-session",
)
memory = ConversationBufferMemory(
memory_key="baz", chat_memory=message_history, return_messages=True
)
# clear the memory
memory.chat_memory.clear()
# wait for the messages to be cleared
time.sleep(SLEEP_DURATION)
assert memory.chat_memory.messages == []
# add some messages
ai_message = AIMessage(content="Hello, how are you doing ?")
user_message = HumanMessage(content="I'm good, how are you?")
memory.chat_memory.add_messages([ai_message, user_message])
# wait until the messages can be retrieved
time.sleep(SLEEP_DURATION)
# check that the messages are in the memory
messages = memory.chat_memory.messages
assert len(messages) == 2
# check that the messages are in the order of creation
assert messages == [ai_message, user_message]
# clear the memory
memory.chat_memory.clear()
time.sleep(SLEEP_DURATION)
assert memory.chat_memory.messages == []
def test_memory_with_separate_sessions(self, cluster: Any) -> None:
"""Test the chat message history with multiple sessions"""
message_history_a = CouchbaseChatMessageHistory(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
session_id="test-session-a",
)
message_history_b = CouchbaseChatMessageHistory(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
session_id="test-session-b",
)
memory_a = ConversationBufferMemory(
memory_key="a", chat_memory=message_history_a, return_messages=True
)
memory_b = ConversationBufferMemory(
memory_key="b", chat_memory=message_history_b, return_messages=True
)
# clear the memory
memory_a.chat_memory.clear()
memory_b.chat_memory.clear()
# add some messages
ai_message = AIMessage(content="Hello, how are you doing ?")
user_message = HumanMessage(content="I'm good, how are you?")
memory_a.chat_memory.add_ai_message(ai_message)
memory_b.chat_memory.add_user_message(user_message)
# wait until the messages can be retrieved
time.sleep(SLEEP_DURATION)
# check that the messages are in the memory
messages_a = memory_a.chat_memory.messages
messages_b = memory_b.chat_memory.messages
assert len(messages_a) == 1
assert len(messages_b) == 1
assert messages_a == [ai_message]
assert messages_b == [user_message]
# clear the memory
memory_a.chat_memory.clear()
time.sleep(SLEEP_DURATION)
# ensure that only the session that is cleared is empty
assert memory_a.chat_memory.messages == []
assert memory_b.chat_memory.messages == [user_message]
# clear the other session's memory
memory_b.chat_memory.clear()
time.sleep(SLEEP_DURATION)
assert memory_b.chat_memory.messages == []
def test_memory_message_with_ttl(self, cluster: Any) -> None:
"""Test chat message history with a message being saved with a TTL"""
ttl = timedelta(minutes=5)
session_id = "test-session-ttl"
message_history = CouchbaseChatMessageHistory(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
session_id=session_id,
ttl=ttl,
)
memory = ConversationBufferMemory(
memory_key="baz", chat_memory=message_history, return_messages=True
)
# clear the memory
memory.chat_memory.clear()
# wait for the messages to be cleared
time.sleep(SLEEP_DURATION)
assert memory.chat_memory.messages == []
# add some messages
ai_message = AIMessage(content="Hello, how are you doing ?")
memory.chat_memory.add_ai_message(ai_message)
# wait until the messages can be retrieved
time.sleep(SLEEP_DURATION)
# check that the messages are in the memory
messages = memory.chat_memory.messages
assert len(messages) == 1
# check that the messages are in the order of creation
assert messages == [ai_message]
# Check the document's expiry time by fetching it from the database
fetch_documents_query = (
f"SELECT meta().id, * from `{MESSAGE_HISTORY_COLLECTION_NAME}` doc"
f" WHERE doc.session_id = '{session_id}'"
)
document_keys = get_document_keys(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
query=fetch_documents_query,
)
assert len(document_keys) == 1
# Ensure that the document will expire within the TTL
document_expiry_time = fetch_document_expiry_time(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
document_key=document_keys[0],
)
current_time = datetime.now()
assert document_expiry_time - current_time < ttl
def test_memory_messages_with_ttl(self, cluster: Any) -> None:
"""Test chat message history with messages being stored with a TTL"""
ttl = timedelta(minutes=5)
session_id = "test-session-ttl"
message_history = CouchbaseChatMessageHistory(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
session_id=session_id,
ttl=ttl,
)
memory = ConversationBufferMemory(
memory_key="baz", chat_memory=message_history, return_messages=True
)
# clear the memory
memory.chat_memory.clear()
# wait for the messages to be cleared
time.sleep(SLEEP_DURATION)
assert memory.chat_memory.messages == []
# add some messages
ai_message = AIMessage(content="Hello, how are you doing ?")
user_message = HumanMessage(content="I'm good, how are you?")
memory.chat_memory.add_messages([ai_message, user_message])
# wait until the messages can be retrieved
time.sleep(SLEEP_DURATION)
# check that the messages are in the memory
messages = memory.chat_memory.messages
assert len(messages) == 2
# check that the messages are in the order of creation
assert messages == [ai_message, user_message]
# Check the documents' expiry time by fetching the documents from the database
fetch_documents_query = (
f"SELECT meta().id, * from `{MESSAGE_HISTORY_COLLECTION_NAME}` doc"
f" WHERE doc.session_id = '{session_id}'"
)
document_keys = get_document_keys(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
query=fetch_documents_query,
)
assert len(document_keys) == 2
# Ensure that each document will expire within the TTL
for document_key in document_keys:
document_expiry_time = fetch_document_expiry_time(
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
document_key=document_key,
)
current_time = datetime.now()
assert document_expiry_time - current_time < ttl
|
0 | lc_public_repos/langchain/libs/partners/couchbase/tests | lc_public_repos/langchain/libs/partners/couchbase/tests/integration_tests/test_vector_store.py | """Test Couchbase Vector Store functionality"""
import os
import time
from typing import Any
import pytest
from langchain_core.documents import Document
from langchain_couchbase import CouchbaseVectorStore
from tests.utils import (
ConsistentFakeEmbeddings,
)
CONNECTION_STRING = os.getenv("COUCHBASE_CONNECTION_STRING", "")
BUCKET_NAME = os.getenv("COUCHBASE_BUCKET_NAME", "")
SCOPE_NAME = os.getenv("COUCHBASE_SCOPE_NAME", "")
COLLECTION_NAME = os.getenv("COUCHBASE_COLLECTION_NAME", "")
USERNAME = os.getenv("COUCHBASE_USERNAME", "")
PASSWORD = os.getenv("COUCHBASE_PASSWORD", "")
INDEX_NAME = os.getenv("COUCHBASE_INDEX_NAME", "")
SLEEP_DURATION = 1
def set_all_env_vars() -> bool:
return all(
[
CONNECTION_STRING,
BUCKET_NAME,
SCOPE_NAME,
COLLECTION_NAME,
USERNAME,
PASSWORD,
INDEX_NAME,
]
)
def get_cluster() -> Any:
"""Get a couchbase cluster object"""
from datetime import timedelta
from couchbase.auth import PasswordAuthenticator
from couchbase.cluster import Cluster
from couchbase.options import ClusterOptions
auth = PasswordAuthenticator(USERNAME, PASSWORD)
options = ClusterOptions(auth)
connect_string = CONNECTION_STRING
cluster = Cluster(connect_string, options)
# Wait until the cluster is ready for use.
cluster.wait_until_ready(timedelta(seconds=5))
return cluster
@pytest.fixture()
def cluster() -> Any:
"""Get a couchbase cluster object"""
return get_cluster()
def delete_documents(
cluster: Any, bucket_name: str, scope_name: str, collection_name: str
) -> None:
"""Delete all the documents in the collection"""
query = f"DELETE FROM `{bucket_name}`.`{scope_name}`.`{collection_name}`"
cluster.query(query).execute()
@pytest.mark.skipif(
not set_all_env_vars(), reason="Missing Couchbase environment variables"
)
class TestCouchbaseVectorStore:
@classmethod
def setup_method(self) -> None:
cluster = get_cluster()
# Delete all the documents in the collection
delete_documents(cluster, BUCKET_NAME, SCOPE_NAME, COLLECTION_NAME)
def test_from_documents(self, cluster: Any) -> None:
"""Test end to end search using a list of documents."""
documents = [
Document(page_content="foo", metadata={"page": 1}),
Document(page_content="bar", metadata={"page": 2}),
Document(page_content="baz", metadata={"page": 3}),
]
vectorstore = CouchbaseVectorStore.from_documents(
documents,
ConsistentFakeEmbeddings(),
cluster=cluster,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
index_name=INDEX_NAME,
)
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
output = vectorstore.similarity_search("baz", k=1)
assert output[0].page_content == "baz"
assert output[0].metadata["page"] == 3
def test_from_texts(self, cluster: Any) -> None:
"""Test end to end search using a list of texts."""
texts = [
"foo",
"bar",
"baz",
]
vectorstore = CouchbaseVectorStore.from_texts(
texts,
ConsistentFakeEmbeddings(),
cluster=cluster,
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
)
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
output = vectorstore.similarity_search("foo", k=1)
assert len(output) == 1
assert output[0].page_content == "foo"
def test_from_texts_with_metadatas(self, cluster: Any) -> None:
"""Test end to end search using a list of texts and metadatas."""
texts = [
"foo",
"bar",
"baz",
]
metadatas = [{"a": 1}, {"b": 2}, {"c": 3}]
vectorstore = CouchbaseVectorStore.from_texts(
texts,
ConsistentFakeEmbeddings(),
metadatas=metadatas,
cluster=cluster,
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
)
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
output = vectorstore.similarity_search("baz", k=1)
assert output[0].page_content == "baz"
assert output[0].metadata["c"] == 3
def test_add_texts_with_ids_and_metadatas(self, cluster: Any) -> None:
"""Test end to end search by adding a list of texts, ids and metadatas."""
texts = [
"foo",
"bar",
"baz",
]
ids = ["a", "b", "c"]
metadatas = [{"a": 1}, {"b": 2}, {"c": 3}]
vectorstore = CouchbaseVectorStore(
cluster=cluster,
embedding=ConsistentFakeEmbeddings(),
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
)
results = vectorstore.add_texts(
texts,
ids=ids,
metadatas=metadatas,
)
assert results == ids
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
output = vectorstore.similarity_search("foo", k=1)
assert output[0].id == "a"
assert output[0].page_content == "foo"
assert output[0].metadata["a"] == 1
def test_delete_texts_with_ids(self, cluster: Any) -> None:
"""Test deletion of documents by ids."""
texts = [
"foo",
"bar",
"baz",
]
ids = ["a", "b", "c"]
metadatas = [{"a": 1}, {"b": 2}, {"c": 3}]
vectorstore = CouchbaseVectorStore(
cluster=cluster,
embedding=ConsistentFakeEmbeddings(),
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
)
results = vectorstore.add_texts(
texts,
ids=ids,
metadatas=metadatas,
)
assert results == ids
assert vectorstore.delete(ids)
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
output = vectorstore.similarity_search("foo", k=1)
assert len(output) == 0
def test_similarity_search_with_scores(self, cluster: Any) -> None:
"""Test similarity search with scores."""
texts = ["foo", "bar", "baz"]
metadatas = [{"a": 1}, {"b": 2}, {"c": 3}]
vectorstore = CouchbaseVectorStore(
cluster=cluster,
embedding=ConsistentFakeEmbeddings(),
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
)
vectorstore.add_texts(texts, metadatas=metadatas)
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
output = vectorstore.similarity_search_with_score("foo", k=2)
assert len(output) == 2
assert output[0][0].page_content == "foo"
# check if the scores are sorted
assert output[0][0].metadata["a"] == 1
assert output[0][1] > output[1][1]
def test_similarity_search_by_vector(self, cluster: Any) -> None:
"""Test similarity search by vector."""
texts = ["foo", "bar", "baz"]
metadatas = [{"a": 1}, {"b": 2}, {"c": 3}]
vectorstore = CouchbaseVectorStore(
cluster=cluster,
embedding=ConsistentFakeEmbeddings(),
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
)
vectorstore.add_texts(texts, metadatas=metadatas)
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
vector = ConsistentFakeEmbeddings().embed_query("foo")
vector_output = vectorstore.similarity_search_by_vector(vector, k=1)
assert vector_output[0].page_content == "foo"
similarity_output = vectorstore.similarity_search("foo", k=1)
assert similarity_output == vector_output
def test_output_fields(self, cluster: Any) -> None:
"""Test that output fields are set correctly."""
texts = [
"foo",
"bar",
"baz",
]
metadatas = [{"page": 1, "a": 1}, {"page": 2, "b": 2}, {"page": 3, "c": 3}]
vectorstore = CouchbaseVectorStore(
cluster=cluster,
embedding=ConsistentFakeEmbeddings(),
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
)
ids = vectorstore.add_texts(texts, metadatas)
assert len(ids) == len(texts)
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
output = vectorstore.similarity_search("foo", k=1, fields=["metadata.page"])
assert output[0].page_content == "foo"
assert output[0].metadata["page"] == 1
assert "a" not in output[0].metadata
def test_hybrid_search(self, cluster: Any) -> None:
"""Test hybrid search."""
texts = [
"foo",
"bar",
"baz",
]
metadatas = [
{"section": "index"},
{"section": "glossary"},
{"section": "appendix"},
]
vectorstore = CouchbaseVectorStore(
cluster=cluster,
embedding=ConsistentFakeEmbeddings(),
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
)
vectorstore.add_texts(texts, metadatas=metadatas)
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
result, score = vectorstore.similarity_search_with_score("foo", k=1)[0]
# Wait for the documents to be indexed for hybrid search
time.sleep(SLEEP_DURATION)
hybrid_result, hybrid_score = vectorstore.similarity_search_with_score(
"foo",
k=1,
search_options={"query": {"match": "index", "field": "metadata.section"}},
)[0]
assert result == hybrid_result
assert score <= hybrid_score
def test_id_in_results(self, cluster: Any) -> None:
"""Test that the id is returned in the result documents."""
texts = [
"foo",
"bar",
"baz",
]
metadatas = [{"a": 1}, {"b": 2}, {"c": 3}]
vectorstore = CouchbaseVectorStore(
cluster=cluster,
embedding=ConsistentFakeEmbeddings(),
index_name=INDEX_NAME,
bucket_name=BUCKET_NAME,
scope_name=SCOPE_NAME,
collection_name=COLLECTION_NAME,
)
ids = vectorstore.add_texts(texts, metadatas=metadatas)
assert len(ids) == len(texts)
# Wait for the documents to be indexed
time.sleep(SLEEP_DURATION)
output = vectorstore.similarity_search("foo", k=1)
assert output[0].id == ids[0]
|
0 | lc_public_repos/langchain/libs/partners/couchbase/tests | lc_public_repos/langchain/libs/partners/couchbase/tests/unit_tests/test_imports.py | from langchain_couchbase import __all__
EXPECTED_ALL = [
"CouchbaseVectorStore",
"CouchbaseCache",
"CouchbaseSemanticCache",
"CouchbaseChatMessageHistory",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
|
0 | lc_public_repos/langchain/libs/partners/couchbase/tests | lc_public_repos/langchain/libs/partners/couchbase/tests/unit_tests/test_vectorstore.py | |
0 | lc_public_repos/langchain/libs/partners/couchbase | lc_public_repos/langchain/libs/partners/couchbase/scripts/lint_imports.sh | #!/bin/bash
set -eu
# Initialize a variable to keep track of errors
errors=0
# make sure not importing from langchain, langchain_experimental, or langchain_community
git --no-pager grep '^from langchain\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_community\.' . && errors=$((errors+1))
# Decide on an exit status based on the errors
if [ "$errors" -gt 0 ]; then
exit 1
else
exit 0
fi
|
0 | lc_public_repos/langchain/libs/partners/couchbase | lc_public_repos/langchain/libs/partners/couchbase/scripts/check_imports.py | import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
print(file) # noqa: T201
traceback.print_exc()
print() # noqa: T201
sys.exit(1 if has_failure else 0)
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/azure-dynamic-sessions/README.md | This package has moved!
https://github.com/langchain-ai/langchain-azure/tree/main/libs/azure-dynamic-sessions
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/xai/Makefile | .PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_test integration_tests: TEST_FILE=tests/integration_tests/
test tests integration_test integration_tests:
poetry run pytest $(TEST_FILE)
######################
# LINTING AND FORMATTING
######################
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/xai --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langchain_xai
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)
spell_check:
poetry run codespell --toml pyproject.toml
spell_fix:
poetry run codespell --toml pyproject.toml -w
check_imports: $(shell find langchain_xai -name '*.py')
poetry run python ./scripts/check_imports.py $^
######################
# HELP
######################
help:
@echo '----'
@echo 'check_imports - check imports'
@echo 'format - run code formatters'
@echo 'lint - run linters'
@echo 'test - run unit tests'
@echo 'tests - run unit tests'
@echo 'test TEST_FILE=<test_file> - run all tests in file'
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/xai/LICENSE | MIT License
Copyright (c) 2024 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/xai/poetry.lock | # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
version = "2.4.3"
description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
files = [
{file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
{file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
]
[[package]]
name = "aiohttp"
version = "3.10.10"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
{file = "aiohttp-3.10.10-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be7443669ae9c016b71f402e43208e13ddf00912f47f623ee5994e12fc7d4b3f"},
{file = "aiohttp-3.10.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7b06b7843929e41a94ea09eb1ce3927865387e3e23ebe108e0d0d09b08d25be9"},
{file = "aiohttp-3.10.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:333cf6cf8e65f6a1e06e9eb3e643a0c515bb850d470902274239fea02033e9a8"},
{file = "aiohttp-3.10.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:274cfa632350225ce3fdeb318c23b4a10ec25c0e2c880eff951a3842cf358ac1"},
{file = "aiohttp-3.10.10-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d9e5e4a85bdb56d224f412d9c98ae4cbd032cc4f3161818f692cd81766eee65a"},
{file = "aiohttp-3.10.10-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2b606353da03edcc71130b52388d25f9a30a126e04caef1fd637e31683033abd"},
{file = "aiohttp-3.10.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab5a5a0c7a7991d90446a198689c0535be89bbd6b410a1f9a66688f0880ec026"},
{file = "aiohttp-3.10.10-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:578a4b875af3e0daaf1ac6fa983d93e0bbfec3ead753b6d6f33d467100cdc67b"},
{file = "aiohttp-3.10.10-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8105fd8a890df77b76dd3054cddf01a879fc13e8af576805d667e0fa0224c35d"},
{file = "aiohttp-3.10.10-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3bcd391d083f636c06a68715e69467963d1f9600f85ef556ea82e9ef25f043f7"},
{file = "aiohttp-3.10.10-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:fbc6264158392bad9df19537e872d476f7c57adf718944cc1e4495cbabf38e2a"},
{file = "aiohttp-3.10.10-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:e48d5021a84d341bcaf95c8460b152cfbad770d28e5fe14a768988c461b821bc"},
{file = "aiohttp-3.10.10-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2609e9ab08474702cc67b7702dbb8a80e392c54613ebe80db7e8dbdb79837c68"},
{file = "aiohttp-3.10.10-cp310-cp310-win32.whl", hash = "sha256:84afcdea18eda514c25bc68b9af2a2b1adea7c08899175a51fe7c4fb6d551257"},
{file = "aiohttp-3.10.10-cp310-cp310-win_amd64.whl", hash = "sha256:9c72109213eb9d3874f7ac8c0c5fa90e072d678e117d9061c06e30c85b4cf0e6"},
{file = "aiohttp-3.10.10-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c30a0eafc89d28e7f959281b58198a9fa5e99405f716c0289b7892ca345fe45f"},
{file = "aiohttp-3.10.10-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:258c5dd01afc10015866114e210fb7365f0d02d9d059c3c3415382ab633fcbcb"},
{file = "aiohttp-3.10.10-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:15ecd889a709b0080f02721255b3f80bb261c2293d3c748151274dfea93ac871"},
{file = "aiohttp-3.10.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3935f82f6f4a3820270842e90456ebad3af15810cf65932bd24da4463bc0a4c"},
{file = "aiohttp-3.10.10-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:413251f6fcf552a33c981c4709a6bba37b12710982fec8e558ae944bfb2abd38"},
{file = "aiohttp-3.10.10-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d1720b4f14c78a3089562b8875b53e36b51c97c51adc53325a69b79b4b48ebcb"},
{file = "aiohttp-3.10.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:679abe5d3858b33c2cf74faec299fda60ea9de62916e8b67e625d65bf069a3b7"},
{file = "aiohttp-3.10.10-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:79019094f87c9fb44f8d769e41dbb664d6e8fcfd62f665ccce36762deaa0e911"},
{file = "aiohttp-3.10.10-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:fe2fb38c2ed905a2582948e2de560675e9dfbee94c6d5ccdb1301c6d0a5bf092"},
{file = "aiohttp-3.10.10-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:a3f00003de6eba42d6e94fabb4125600d6e484846dbf90ea8e48a800430cc142"},
{file = "aiohttp-3.10.10-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:1bbb122c557a16fafc10354b9d99ebf2f2808a660d78202f10ba9d50786384b9"},
{file = "aiohttp-3.10.10-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:30ca7c3b94708a9d7ae76ff281b2f47d8eaf2579cd05971b5dc681db8caac6e1"},
{file = "aiohttp-3.10.10-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:df9270660711670e68803107d55c2b5949c2e0f2e4896da176e1ecfc068b974a"},
{file = "aiohttp-3.10.10-cp311-cp311-win32.whl", hash = "sha256:aafc8ee9b742ce75044ae9a4d3e60e3d918d15a4c2e08a6c3c3e38fa59b92d94"},
{file = "aiohttp-3.10.10-cp311-cp311-win_amd64.whl", hash = "sha256:362f641f9071e5f3ee6f8e7d37d5ed0d95aae656adf4ef578313ee585b585959"},
{file = "aiohttp-3.10.10-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:9294bbb581f92770e6ed5c19559e1e99255e4ca604a22c5c6397b2f9dd3ee42c"},
{file = "aiohttp-3.10.10-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a8fa23fe62c436ccf23ff930149c047f060c7126eae3ccea005f0483f27b2e28"},
{file = "aiohttp-3.10.10-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5c6a5b8c7926ba5d8545c7dd22961a107526562da31a7a32fa2456baf040939f"},
{file = "aiohttp-3.10.10-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:007ec22fbc573e5eb2fb7dec4198ef8f6bf2fe4ce20020798b2eb5d0abda6138"},
{file = "aiohttp-3.10.10-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9627cc1a10c8c409b5822a92d57a77f383b554463d1884008e051c32ab1b3742"},
{file = "aiohttp-3.10.10-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:50edbcad60d8f0e3eccc68da67f37268b5144ecc34d59f27a02f9611c1d4eec7"},
{file = "aiohttp-3.10.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a45d85cf20b5e0d0aa5a8dca27cce8eddef3292bc29d72dcad1641f4ed50aa16"},
{file = "aiohttp-3.10.10-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0b00807e2605f16e1e198f33a53ce3c4523114059b0c09c337209ae55e3823a8"},
{file = "aiohttp-3.10.10-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f2d4324a98062be0525d16f768a03e0bbb3b9fe301ceee99611dc9a7953124e6"},
{file = "aiohttp-3.10.10-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:438cd072f75bb6612f2aca29f8bd7cdf6e35e8f160bc312e49fbecab77c99e3a"},
{file = "aiohttp-3.10.10-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:baa42524a82f75303f714108fea528ccacf0386af429b69fff141ffef1c534f9"},
{file = "aiohttp-3.10.10-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:a7d8d14fe962153fc681f6366bdec33d4356f98a3e3567782aac1b6e0e40109a"},
{file = "aiohttp-3.10.10-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c1277cd707c465cd09572a774559a3cc7c7a28802eb3a2a9472588f062097205"},
{file = "aiohttp-3.10.10-cp312-cp312-win32.whl", hash = "sha256:59bb3c54aa420521dc4ce3cc2c3fe2ad82adf7b09403fa1f48ae45c0cbde6628"},
{file = "aiohttp-3.10.10-cp312-cp312-win_amd64.whl", hash = "sha256:0e1b370d8007c4ae31ee6db7f9a2fe801a42b146cec80a86766e7ad5c4a259cf"},
{file = "aiohttp-3.10.10-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ad7593bb24b2ab09e65e8a1d385606f0f47c65b5a2ae6c551db67d6653e78c28"},
{file = "aiohttp-3.10.10-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1eb89d3d29adaf533588f209768a9c02e44e4baf832b08118749c5fad191781d"},
{file = "aiohttp-3.10.10-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3fe407bf93533a6fa82dece0e74dbcaaf5d684e5a51862887f9eaebe6372cd79"},
{file = "aiohttp-3.10.10-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50aed5155f819873d23520919e16703fc8925e509abbb1a1491b0087d1cd969e"},
{file = "aiohttp-3.10.10-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4f05e9727ce409358baa615dbeb9b969db94324a79b5a5cea45d39bdb01d82e6"},
{file = "aiohttp-3.10.10-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3dffb610a30d643983aeb185ce134f97f290f8935f0abccdd32c77bed9388b42"},
{file = "aiohttp-3.10.10-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa6658732517ddabe22c9036479eabce6036655ba87a0224c612e1ae6af2087e"},
{file = "aiohttp-3.10.10-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:741a46d58677d8c733175d7e5aa618d277cd9d880301a380fd296975a9cdd7bc"},
{file = "aiohttp-3.10.10-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e00e3505cd80440f6c98c6d69269dcc2a119f86ad0a9fd70bccc59504bebd68a"},
{file = "aiohttp-3.10.10-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ffe595f10566f8276b76dc3a11ae4bb7eba1aac8ddd75811736a15b0d5311414"},
{file = "aiohttp-3.10.10-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:bdfcf6443637c148c4e1a20c48c566aa694fa5e288d34b20fcdc58507882fed3"},
{file = "aiohttp-3.10.10-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:d183cf9c797a5291e8301790ed6d053480ed94070637bfaad914dd38b0981f67"},
{file = "aiohttp-3.10.10-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:77abf6665ae54000b98b3c742bc6ea1d1fb31c394bcabf8b5d2c1ac3ebfe7f3b"},
{file = "aiohttp-3.10.10-cp313-cp313-win32.whl", hash = "sha256:4470c73c12cd9109db8277287d11f9dd98f77fc54155fc71a7738a83ffcc8ea8"},
{file = "aiohttp-3.10.10-cp313-cp313-win_amd64.whl", hash = "sha256:486f7aabfa292719a2753c016cc3a8f8172965cabb3ea2e7f7436c7f5a22a151"},
{file = "aiohttp-3.10.10-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:1b66ccafef7336a1e1f0e389901f60c1d920102315a56df85e49552308fc0486"},
{file = "aiohttp-3.10.10-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:acd48d5b80ee80f9432a165c0ac8cbf9253eaddb6113269a5e18699b33958dbb"},
{file = "aiohttp-3.10.10-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:3455522392fb15ff549d92fbf4b73b559d5e43dc522588f7eb3e54c3f38beee7"},
{file = "aiohttp-3.10.10-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:45c3b868724137f713a38376fef8120c166d1eadd50da1855c112fe97954aed8"},
{file = "aiohttp-3.10.10-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:da1dee8948d2137bb51fbb8a53cce6b1bcc86003c6b42565f008438b806cccd8"},
{file = "aiohttp-3.10.10-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c5ce2ce7c997e1971b7184ee37deb6ea9922ef5163c6ee5aa3c274b05f9e12fa"},
{file = "aiohttp-3.10.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28529e08fde6f12eba8677f5a8608500ed33c086f974de68cc65ab218713a59d"},
{file = "aiohttp-3.10.10-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f7db54c7914cc99d901d93a34704833568d86c20925b2762f9fa779f9cd2e70f"},
{file = "aiohttp-3.10.10-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:03a42ac7895406220124c88911ebee31ba8b2d24c98507f4a8bf826b2937c7f2"},
{file = "aiohttp-3.10.10-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:7e338c0523d024fad378b376a79faff37fafb3c001872a618cde1d322400a572"},
{file = "aiohttp-3.10.10-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:038f514fe39e235e9fef6717fbf944057bfa24f9b3db9ee551a7ecf584b5b480"},
{file = "aiohttp-3.10.10-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:64f6c17757251e2b8d885d728b6433d9d970573586a78b78ba8929b0f41d045a"},
{file = "aiohttp-3.10.10-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:93429602396f3383a797a2a70e5f1de5df8e35535d7806c9f91df06f297e109b"},
{file = "aiohttp-3.10.10-cp38-cp38-win32.whl", hash = "sha256:c823bc3971c44ab93e611ab1a46b1eafeae474c0c844aff4b7474287b75fe49c"},
{file = "aiohttp-3.10.10-cp38-cp38-win_amd64.whl", hash = "sha256:54ca74df1be3c7ca1cf7f4c971c79c2daf48d9aa65dea1a662ae18926f5bc8ce"},
{file = "aiohttp-3.10.10-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:01948b1d570f83ee7bbf5a60ea2375a89dfb09fd419170e7f5af029510033d24"},
{file = "aiohttp-3.10.10-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9fc1500fd2a952c5c8e3b29aaf7e3cc6e27e9cfc0a8819b3bce48cc1b849e4cc"},
{file = "aiohttp-3.10.10-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f614ab0c76397661b90b6851a030004dac502e48260ea10f2441abd2207fbcc7"},
{file = "aiohttp-3.10.10-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00819de9e45d42584bed046314c40ea7e9aea95411b38971082cad449392b08c"},
{file = "aiohttp-3.10.10-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05646ebe6b94cc93407b3bf34b9eb26c20722384d068eb7339de802154d61bc5"},
{file = "aiohttp-3.10.10-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:998f3bd3cfc95e9424a6acd7840cbdd39e45bc09ef87533c006f94ac47296090"},
{file = "aiohttp-3.10.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9010c31cd6fa59438da4e58a7f19e4753f7f264300cd152e7f90d4602449762"},
{file = "aiohttp-3.10.10-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7ea7ffc6d6d6f8a11e6f40091a1040995cdff02cfc9ba4c2f30a516cb2633554"},
{file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ef9c33cc5cbca35808f6c74be11eb7f5f6b14d2311be84a15b594bd3e58b5527"},
{file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ce0cdc074d540265bfeb31336e678b4e37316849d13b308607efa527e981f5c2"},
{file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:597a079284b7ee65ee102bc3a6ea226a37d2b96d0418cc9047490f231dc09fe8"},
{file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:7789050d9e5d0c309c706953e5e8876e38662d57d45f936902e176d19f1c58ab"},
{file = "aiohttp-3.10.10-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e7f8b04d83483577fd9200461b057c9f14ced334dcb053090cea1da9c8321a91"},
{file = "aiohttp-3.10.10-cp39-cp39-win32.whl", hash = "sha256:c02a30b904282777d872266b87b20ed8cc0d1501855e27f831320f471d54d983"},
{file = "aiohttp-3.10.10-cp39-cp39-win_amd64.whl", hash = "sha256:edfe3341033a6b53a5c522c802deb2079eee5cbfbb0af032a55064bd65c73a23"},
{file = "aiohttp-3.10.10.tar.gz", hash = "sha256:0631dd7c9f0822cc61c88586ca76d5b5ada26538097d0f1df510b082bad3411a"},
]
[package.dependencies]
aiohappyeyeballs = ">=2.3.0"
aiosignal = ">=1.1.2"
async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
attrs = ">=17.3.0"
frozenlist = ">=1.1.1"
multidict = ">=4.5,<7.0"
yarl = ">=1.12.0,<2.0"
[package.extras]
speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
[[package]]
name = "aiosignal"
version = "1.3.1"
description = "aiosignal: a list of registered asynchronous callbacks"
optional = false
python-versions = ">=3.7"
files = [
{file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
{file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
]
[package.dependencies]
frozenlist = ">=1.1.0"
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
[[package]]
name = "anyio"
version = "4.6.2.post1"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.9"
files = [
{file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
{file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
]
[package.dependencies]
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
idna = ">=2.8"
sniffio = ">=1.1"
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras]
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
trio = ["trio (>=0.26.1)"]
[[package]]
name = "async-timeout"
version = "4.0.3"
description = "Timeout context manager for asyncio programs"
optional = false
python-versions = ">=3.7"
files = [
{file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
{file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
]
[[package]]
name = "attrs"
version = "24.2.0"
description = "Classes Without Boilerplate"
optional = false
python-versions = ">=3.7"
files = [
{file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
{file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
]
[package.extras]
benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
[[package]]
name = "certifi"
version = "2024.8.30"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
{file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
]
[[package]]
name = "charset-normalizer"
version = "3.4.0"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7.0"
files = [
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6"},
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b"},
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5ed2e36c3e9b4f21dd9422f6893dec0abf2cca553af509b10cd630f878d3eb99"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d3ff7fc90b98c637bda91c89d51264a3dcf210cade3a2c6f838c7268d7a4ca"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:86f4e8cca779080f66ff4f191a685ced73d2f72d50216f7112185dc02b90b9b7"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f683ddc7eedd742e2889d2bfb96d69573fde1d92fcb811979cdb7165bb9c7d3"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27623ba66c183eca01bf9ff833875b459cad267aeeb044477fedac35e19ba907"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f606a1881d2663630ea5b8ce2efe2111740df4b687bd78b34a8131baa007f79b"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:79983512b108e4a164b9c8d34de3992f76d48cadc9554c9e60b43f308988aabe"},
{file = "charset_normalizer-3.4.0-cp310-cp310-win32.whl", hash = "sha256:c94057af19bc953643a33581844649a7fdab902624d2eb739738a30e2b3e60fc"},
{file = "charset_normalizer-3.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:55f56e2ebd4e3bc50442fbc0888c9d8c94e4e06a933804e2af3e89e2f9c1c749"},
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0d99dd8ff461990f12d6e42c7347fd9ab2532fb70e9621ba520f9e8637161d7c"},
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c57516e58fd17d03ebe67e181a4e4e2ccab1168f8c2976c6a334d4f819fe5944"},
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6dba5d19c4dfab08e58d5b36304b3f92f3bd5d42c1a3fa37b5ba5cdf6dfcbcee"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf4475b82be41b07cc5e5ff94810e6a01f276e37c2d55571e3fe175e467a1a1c"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce031db0408e487fd2775d745ce30a7cd2923667cf3b69d48d219f1d8f5ddeb6"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ff4e7cdfdb1ab5698e675ca622e72d58a6fa2a8aa58195de0c0061288e6e3ea"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3710a9751938947e6327ea9f3ea6332a09bf0ba0c09cae9cb1f250bd1f1549bc"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82357d85de703176b5587dbe6ade8ff67f9f69a41c0733cf2425378b49954de5"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:47334db71978b23ebcf3c0f9f5ee98b8d65992b65c9c4f2d34c2eaf5bcaf0594"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8ce7fd6767a1cc5a92a639b391891bf1c268b03ec7e021c7d6d902285259685c"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:f1a2f519ae173b5b6a2c9d5fa3116ce16e48b3462c8b96dfdded11055e3d6365"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:63bc5c4ae26e4bc6be6469943b8253c0fd4e4186c43ad46e713ea61a0ba49129"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bcb4f8ea87d03bc51ad04add8ceaf9b0f085ac045ab4d74e73bbc2dc033f0236"},
{file = "charset_normalizer-3.4.0-cp311-cp311-win32.whl", hash = "sha256:9ae4ef0b3f6b41bad6366fb0ea4fc1d7ed051528e113a60fa2a65a9abb5b1d99"},
{file = "charset_normalizer-3.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cee4373f4d3ad28f1ab6290684d8e2ebdb9e7a1b74fdc39e4c211995f77bec27"},
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6"},
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:de7376c29d95d6719048c194a9cf1a1b0393fbe8488a22008610b0361d834ecf"},
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a51b48f42d9358460b78725283f04bddaf44a9358197b889657deba38f329db"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b295729485b06c1a0683af02a9e42d2caa9db04a373dc38a6a58cdd1e8abddf1"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee803480535c44e7f5ad00788526da7d85525cfefaf8acf8ab9a310000be4b03"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d59d125ffbd6d552765510e3f31ed75ebac2c7470c7274195b9161a32350284"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cda06946eac330cbe6598f77bb54e690b4ca93f593dee1568ad22b04f347c15"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6b40e8d38afe634559e398cc32b1472f376a4099c75fe6299ae607e404c033b2"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b8dcd239c743aa2f9c22ce674a145e0a25cb1566c495928440a181ca1ccf6719"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:84450ba661fb96e9fd67629b93d2941c871ca86fc38d835d19d4225ff946a631"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:44aeb140295a2f0659e113b31cfe92c9061622cadbc9e2a2f7b8ef6b1e29ef4b"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1db4e7fefefd0f548d73e2e2e041f9df5c59e178b4c72fbac4cc6f535cfb1565"},
{file = "charset_normalizer-3.4.0-cp312-cp312-win32.whl", hash = "sha256:5726cf76c982532c1863fb64d8c6dd0e4c90b6ece9feb06c9f202417a31f7dd7"},
{file = "charset_normalizer-3.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:b197e7094f232959f8f20541ead1d9862ac5ebea1d58e9849c1bf979255dfac9"},
{file = "charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:dd4eda173a9fcccb5f2e2bd2a9f423d180194b1bf17cf59e3269899235b2a114"},
{file = "charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e9e3c4c9e1ed40ea53acf11e2a386383c3304212c965773704e4603d589343ed"},
{file = "charset_normalizer-3.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:92a7e36b000bf022ef3dbb9c46bfe2d52c047d5e3f3343f43204263c5addc250"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54b6a92d009cbe2fb11054ba694bc9e284dad30a26757b1e372a1fdddaf21920"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ffd9493de4c922f2a38c2bf62b831dcec90ac673ed1ca182fe11b4d8e9f2a64"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35c404d74c2926d0287fbd63ed5d27eb911eb9e4a3bb2c6d294f3cfd4a9e0c23"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4796efc4faf6b53a18e3d46343535caed491776a22af773f366534056c4e1fbc"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e7fdd52961feb4c96507aa649550ec2a0d527c086d284749b2f582f2d40a2e0d"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:92db3c28b5b2a273346bebb24857fda45601aef6ae1c011c0a997106581e8a88"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ab973df98fc99ab39080bfb0eb3a925181454d7c3ac8a1e695fddfae696d9e90"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:4b67fdab07fdd3c10bb21edab3cbfe8cf5696f453afce75d815d9d7223fbe88b"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:aa41e526a5d4a9dfcfbab0716c7e8a1b215abd3f3df5a45cf18a12721d31cb5d"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ffc519621dce0c767e96b9c53f09c5d215578e10b02c285809f76509a3931482"},
{file = "charset_normalizer-3.4.0-cp313-cp313-win32.whl", hash = "sha256:f19c1585933c82098c2a520f8ec1227f20e339e33aca8fa6f956f6691b784e67"},
{file = "charset_normalizer-3.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:707b82d19e65c9bd28b81dde95249b07bf9f5b90ebe1ef17d9b57473f8a64b7b"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:dbe03226baf438ac4fda9e2d0715022fd579cb641c4cf639fa40d53b2fe6f3e2"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd9a8bd8900e65504a305bf8ae6fa9fbc66de94178c420791d0293702fce2df7"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8831399554b92b72af5932cdbbd4ddc55c55f631bb13ff8fe4e6536a06c5c51"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a14969b8691f7998e74663b77b4c36c0337cb1df552da83d5c9004a93afdb574"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dcaf7c1524c0542ee2fc82cc8ec337f7a9f7edee2532421ab200d2b920fc97cf"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:425c5f215d0eecee9a56cdb703203dda90423247421bf0d67125add85d0c4455"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:d5b054862739d276e09928de37c79ddeec42a6e1bfc55863be96a36ba22926f6"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:f3e73a4255342d4eb26ef6df01e3962e73aa29baa3124a8e824c5d3364a65748"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:2f6c34da58ea9c1a9515621f4d9ac379871a8f21168ba1b5e09d74250de5ad62"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_s390x.whl", hash = "sha256:f09cb5a7bbe1ecae6e87901a2eb23e0256bb524a79ccc53eb0b7629fbe7677c4"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:0099d79bdfcf5c1f0c2c72f91516702ebf8b0b8ddd8905f97a8aecf49712c621"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-win32.whl", hash = "sha256:9c98230f5042f4945f957d006edccc2af1e03ed5e37ce7c373f00a5a4daa6149"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-win_amd64.whl", hash = "sha256:62f60aebecfc7f4b82e3f639a7d1433a20ec32824db2199a11ad4f5e146ef5ee"},
{file = "charset_normalizer-3.4.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:af73657b7a68211996527dbfeffbb0864e043d270580c5aef06dc4b659a4b578"},
{file = "charset_normalizer-3.4.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:cab5d0b79d987c67f3b9e9c53f54a61360422a5a0bc075f43cab5621d530c3b6"},
{file = "charset_normalizer-3.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9289fd5dddcf57bab41d044f1756550f9e7cf0c8e373b8cdf0ce8773dc4bd417"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b493a043635eb376e50eedf7818f2f322eabbaa974e948bd8bdd29eb7ef2a51"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9fa2566ca27d67c86569e8c85297aaf413ffab85a8960500f12ea34ff98e4c41"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a8e538f46104c815be19c975572d74afb53f29650ea2025bbfaef359d2de2f7f"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fd30dc99682dc2c603c2b315bded2799019cea829f8bf57dc6b61efde6611c8"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2006769bd1640bdf4d5641c69a3d63b71b81445473cac5ded39740a226fa88ab"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:dc15e99b2d8a656f8e666854404f1ba54765871104e50c8e9813af8a7db07f12"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:ab2e5bef076f5a235c3774b4f4028a680432cded7cad37bba0fd90d64b187d19"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:4ec9dd88a5b71abfc74e9df5ebe7921c35cbb3b641181a531ca65cdb5e8e4dea"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:43193c5cda5d612f247172016c4bb71251c784d7a4d9314677186a838ad34858"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:aa693779a8b50cd97570e5a0f343538a8dbd3e496fa5dcb87e29406ad0299654"},
{file = "charset_normalizer-3.4.0-cp38-cp38-win32.whl", hash = "sha256:7706f5850360ac01d80c89bcef1640683cc12ed87f42579dab6c5d3ed6888613"},
{file = "charset_normalizer-3.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:c3e446d253bd88f6377260d07c895816ebf33ffffd56c1c792b13bff9c3e1ade"},
{file = "charset_normalizer-3.4.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:980b4f289d1d90ca5efcf07958d3eb38ed9c0b7676bf2831a54d4f66f9c27dfa"},
{file = "charset_normalizer-3.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f28f891ccd15c514a0981f3b9db9aa23d62fe1a99997512b0491d2ed323d229a"},
{file = "charset_normalizer-3.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8aacce6e2e1edcb6ac625fb0f8c3a9570ccc7bfba1f63419b3769ccf6a00ed0"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd7af3717683bea4c87acd8c0d3d5b44d56120b26fd3f8a692bdd2d5260c620a"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5ff2ed8194587faf56555927b3aa10e6fb69d931e33953943bc4f837dfee2242"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e91f541a85298cf35433bf66f3fab2a4a2cff05c127eeca4af174f6d497f0d4b"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:309a7de0a0ff3040acaebb35ec45d18db4b28232f21998851cfa709eeff49d62"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:285e96d9d53422efc0d7a17c60e59f37fbf3dfa942073f666db4ac71e8d726d0"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5d447056e2ca60382d460a604b6302d8db69476fd2015c81e7c35417cfabe4cd"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:20587d20f557fe189b7947d8e7ec5afa110ccf72a3128d61a2a387c3313f46be"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:130272c698667a982a5d0e626851ceff662565379baf0ff2cc58067b81d4f11d"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:ab22fbd9765e6954bc0bcff24c25ff71dcbfdb185fcdaca49e81bac68fe724d3"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:7782afc9b6b42200f7362858f9e73b1f8316afb276d316336c0ec3bd73312742"},
{file = "charset_normalizer-3.4.0-cp39-cp39-win32.whl", hash = "sha256:2de62e8801ddfff069cd5c504ce3bc9672b23266597d4e4f50eda28846c322f2"},
{file = "charset_normalizer-3.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:95c3c157765b031331dd4db3c775e58deaee050a3042fcad72cbc4189d7c8dca"},
{file = "charset_normalizer-3.4.0-py3-none-any.whl", hash = "sha256:fe9f97feb71aa9896b81973a7bbada8c49501dc73e58a10fcef6663af95e5079"},
{file = "charset_normalizer-3.4.0.tar.gz", hash = "sha256:223217c3d4f82c3ac5e29032b3f1c2eb0fb591b72161f86d93f5719079dae93e"},
]
[[package]]
name = "codespell"
version = "2.3.0"
description = "Codespell"
optional = false
python-versions = ">=3.8"
files = [
{file = "codespell-2.3.0-py3-none-any.whl", hash = "sha256:a9c7cef2501c9cfede2110fd6d4e5e62296920efe9abfb84648df866e47f58d1"},
{file = "codespell-2.3.0.tar.gz", hash = "sha256:360c7d10f75e65f67bad720af7007e1060a5d395670ec11a7ed1fed9dd17471f"},
]
[package.extras]
dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"]
hard-encoding-detection = ["chardet"]
toml = ["tomli"]
types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"]
[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "distro"
version = "1.9.0"
description = "Distro - an OS platform information API"
optional = false
python-versions = ">=3.6"
files = [
{file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
{file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
]
[[package]]
name = "docarray"
version = "0.32.1"
description = "The data structure for multimodal data"
optional = false
python-versions = ">=3.7,<4.0"
files = [
{file = "docarray-0.32.1-py3-none-any.whl", hash = "sha256:abd6d8999f44fd37b0c1d54f7cedd9007ab13b8b6c69933a9d30abbd0cbad5cd"},
{file = "docarray-0.32.1.tar.gz", hash = "sha256:ef349d2501d5cb0f205497e5e7de5b5d034965bdad98cf6daab1baa6aa3e39d2"},
]
[package.dependencies]
numpy = ">=1.17.3"
orjson = ">=3.8.2"
pydantic = ">=1.10.2"
rich = ">=13.1.0"
types-requests = ">=2.28.11.6"
typing-inspect = ">=0.8.0"
[package.extras]
audio = ["pydub (>=0.25.1,<0.26.0)"]
aws = ["smart-open[s3] (>=6.3.0)"]
elasticsearch = ["elastic-transport (>=8.4.0,<9.0.0)", "elasticsearch (>=7.10.1)"]
full = ["av (>=10.0.0)", "lz4 (>=1.0.0)", "pandas (>=1.1.0)", "pillow (>=9.3.0)", "protobuf (>=3.19.0)", "pydub (>=0.25.1,<0.26.0)", "trimesh[easy] (>=3.17.1)", "types-pillow (>=9.3.0.1)"]
hnswlib = ["hnswlib (>=0.6.2)", "protobuf (>=3.19.0)"]
image = ["pillow (>=9.3.0)", "types-pillow (>=9.3.0.1)"]
jac = ["jina-hubble-sdk (>=0.34.0)"]
mesh = ["trimesh[easy] (>=3.17.1)"]
pandas = ["pandas (>=1.1.0)"]
proto = ["lz4 (>=1.0.0)", "protobuf (>=3.19.0)"]
qdrant = ["qdrant-client (>=1.1.4)"]
torch = ["torch (>=1.0.0)"]
video = ["av (>=10.0.0)"]
weaviate = ["weaviate-client (>=3.15)"]
web = ["fastapi (>=0.87.0)"]
[[package]]
name = "exceptiongroup"
version = "1.2.2"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
{file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
]
[package.extras]
test = ["pytest (>=6)"]
[[package]]
name = "freezegun"
version = "1.5.1"
description = "Let your Python tests travel through time"
optional = false
python-versions = ">=3.7"
files = [
{file = "freezegun-1.5.1-py3-none-any.whl", hash = "sha256:bf111d7138a8abe55ab48a71755673dbaa4ab87f4cff5634a4442dfec34c15f1"},
{file = "freezegun-1.5.1.tar.gz", hash = "sha256:b29dedfcda6d5e8e083ce71b2b542753ad48cfec44037b3fc79702e2980a89e9"},
]
[package.dependencies]
python-dateutil = ">=2.7"
[[package]]
name = "frozenlist"
version = "1.5.0"
description = "A list-like structure which implements collections.abc.MutableSequence"
optional = false
python-versions = ">=3.8"
files = [
{file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"},
{file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"},
{file = "frozenlist-1.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:15538c0cbf0e4fa11d1e3a71f823524b0c46299aed6e10ebb4c2089abd8c3bec"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e79225373c317ff1e35f210dd5f1344ff31066ba8067c307ab60254cd3a78ad5"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9272fa73ca71266702c4c3e2d4a28553ea03418e591e377a03b8e3659d94fa76"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:498524025a5b8ba81695761d78c8dd7382ac0b052f34e66939c42df860b8ff17"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:92b5278ed9d50fe610185ecd23c55d8b307d75ca18e94c0e7de328089ac5dcba"},
{file = "frozenlist-1.5.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f3c8c1dacd037df16e85227bac13cca58c30da836c6f936ba1df0c05d046d8d"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f2ac49a9bedb996086057b75bf93538240538c6d9b38e57c82d51f75a73409d2"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e66cc454f97053b79c2ab09c17fbe3c825ea6b4de20baf1be28919460dd7877f"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:5a3ba5f9a0dfed20337d3e966dc359784c9f96503674c2faf015f7fe8e96798c"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:6321899477db90bdeb9299ac3627a6a53c7399c8cd58d25da094007402b039ab"},
{file = "frozenlist-1.5.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:76e4753701248476e6286f2ef492af900ea67d9706a0155335a40ea21bf3b2f5"},
{file = "frozenlist-1.5.0-cp310-cp310-win32.whl", hash = "sha256:977701c081c0241d0955c9586ffdd9ce44f7a7795df39b9151cd9a6fd0ce4cfb"},
{file = "frozenlist-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:189f03b53e64144f90990d29a27ec4f7997d91ed3d01b51fa39d2dbe77540fd4"},
{file = "frozenlist-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:fd74520371c3c4175142d02a976aee0b4cb4a7cc912a60586ffd8d5929979b30"},
{file = "frozenlist-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2f3f7a0fbc219fb4455264cae4d9f01ad41ae6ee8524500f381de64ffaa077d5"},
{file = "frozenlist-1.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f47c9c9028f55a04ac254346e92977bf0f166c483c74b4232bee19a6697e4778"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0996c66760924da6e88922756d99b47512a71cfd45215f3570bf1e0b694c206a"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a2fe128eb4edeabe11896cb6af88fca5346059f6c8d807e3b910069f39157869"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1a8ea951bbb6cacd492e3948b8da8c502a3f814f5d20935aae74b5df2b19cf3d"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de537c11e4aa01d37db0d403b57bd6f0546e71a82347a97c6a9f0dcc532b3a45"},
{file = "frozenlist-1.5.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c2623347b933fcb9095841f1cc5d4ff0b278addd743e0e966cb3d460278840d"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:cee6798eaf8b1416ef6909b06f7dc04b60755206bddc599f52232606e18179d3"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:f5f9da7f5dbc00a604fe74aa02ae7c98bcede8a3b8b9666f9f86fc13993bc71a"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:90646abbc7a5d5c7c19461d2e3eeb76eb0b204919e6ece342feb6032c9325ae9"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:bdac3c7d9b705d253b2ce370fde941836a5f8b3c5c2b8fd70940a3ea3af7f4f2"},
{file = "frozenlist-1.5.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:03d33c2ddbc1816237a67f66336616416e2bbb6beb306e5f890f2eb22b959cdf"},
{file = "frozenlist-1.5.0-cp311-cp311-win32.whl", hash = "sha256:237f6b23ee0f44066219dae14c70ae38a63f0440ce6750f868ee08775073f942"},
{file = "frozenlist-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:0cc974cc93d32c42e7b0f6cf242a6bd941c57c61b618e78b6c0a96cb72788c1d"},
{file = "frozenlist-1.5.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:31115ba75889723431aa9a4e77d5f398f5cf976eea3bdf61749731f62d4a4a21"},
{file = "frozenlist-1.5.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7437601c4d89d070eac8323f121fcf25f88674627505334654fd027b091db09d"},
{file = "frozenlist-1.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7948140d9f8ece1745be806f2bfdf390127cf1a763b925c4a805c603df5e697e"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:feeb64bc9bcc6b45c6311c9e9b99406660a9c05ca8a5b30d14a78555088b0b3a"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:683173d371daad49cffb8309779e886e59c2f369430ad28fe715f66d08d4ab1a"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7d57d8f702221405a9d9b40f9da8ac2e4a1a8b5285aac6100f3393675f0a85ee"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:30c72000fbcc35b129cb09956836c7d7abf78ab5416595e4857d1cae8d6251a6"},
{file = "frozenlist-1.5.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:000a77d6034fbad9b6bb880f7ec073027908f1b40254b5d6f26210d2dab1240e"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:5d7f5a50342475962eb18b740f3beecc685a15b52c91f7d975257e13e029eca9"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:87f724d055eb4785d9be84e9ebf0f24e392ddfad00b3fe036e43f489fafc9039"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:6e9080bb2fb195a046e5177f10d9d82b8a204c0736a97a153c2466127de87784"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:9b93d7aaa36c966fa42efcaf716e6b3900438632a626fb09c049f6a2f09fc631"},
{file = "frozenlist-1.5.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:52ef692a4bc60a6dd57f507429636c2af8b6046db8b31b18dac02cbc8f507f7f"},
{file = "frozenlist-1.5.0-cp312-cp312-win32.whl", hash = "sha256:29d94c256679247b33a3dc96cce0f93cbc69c23bf75ff715919332fdbb6a32b8"},
{file = "frozenlist-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:8969190d709e7c48ea386db202d708eb94bdb29207a1f269bab1196ce0dcca1f"},
{file = "frozenlist-1.5.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:7a1a048f9215c90973402e26c01d1cff8a209e1f1b53f72b95c13db61b00f953"},
{file = "frozenlist-1.5.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:dd47a5181ce5fcb463b5d9e17ecfdb02b678cca31280639255ce9d0e5aa67af0"},
{file = "frozenlist-1.5.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1431d60b36d15cda188ea222033eec8e0eab488f39a272461f2e6d9e1a8e63c2"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6482a5851f5d72767fbd0e507e80737f9c8646ae7fd303def99bfe813f76cf7f"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:44c49271a937625619e862baacbd037a7ef86dd1ee215afc298a417ff3270608"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:12f78f98c2f1c2429d42e6a485f433722b0061d5c0b0139efa64f396efb5886b"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ce3aa154c452d2467487765e3adc730a8c153af77ad84096bc19ce19a2400840"},
{file = "frozenlist-1.5.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9b7dc0c4338e6b8b091e8faf0db3168a37101943e687f373dce00959583f7439"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:45e0896250900b5aa25180f9aec243e84e92ac84bd4a74d9ad4138ef3f5c97de"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:561eb1c9579d495fddb6da8959fd2a1fca2c6d060d4113f5844b433fc02f2641"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:df6e2f325bfee1f49f81aaac97d2aa757c7646534a06f8f577ce184afe2f0a9e"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:140228863501b44b809fb39ec56b5d4071f4d0aa6d216c19cbb08b8c5a7eadb9"},
{file = "frozenlist-1.5.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7707a25d6a77f5d27ea7dc7d1fc608aa0a478193823f88511ef5e6b8a48f9d03"},
{file = "frozenlist-1.5.0-cp313-cp313-win32.whl", hash = "sha256:31a9ac2b38ab9b5a8933b693db4939764ad3f299fcaa931a3e605bc3460e693c"},
{file = "frozenlist-1.5.0-cp313-cp313-win_amd64.whl", hash = "sha256:11aabdd62b8b9c4b84081a3c246506d1cddd2dd93ff0ad53ede5defec7886b28"},
{file = "frozenlist-1.5.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:dd94994fc91a6177bfaafd7d9fd951bc8689b0a98168aa26b5f543868548d3ca"},
{file = "frozenlist-1.5.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2d0da8bbec082bf6bf18345b180958775363588678f64998c2b7609e34719b10"},
{file = "frozenlist-1.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:73f2e31ea8dd7df61a359b731716018c2be196e5bb3b74ddba107f694fbd7604"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:828afae9f17e6de596825cf4228ff28fbdf6065974e5ac1410cecc22f699d2b3"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f1577515d35ed5649d52ab4319db757bb881ce3b2b796d7283e6634d99ace307"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2150cc6305a2c2ab33299453e2968611dacb970d2283a14955923062c8d00b10"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a72b7a6e3cd2725eff67cd64c8f13335ee18fc3c7befc05aed043d24c7b9ccb9"},
{file = "frozenlist-1.5.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c16d2fa63e0800723139137d667e1056bee1a1cf7965153d2d104b62855e9b99"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:17dcc32fc7bda7ce5875435003220a457bcfa34ab7924a49a1c19f55b6ee185c"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:97160e245ea33d8609cd2b8fd997c850b56db147a304a262abc2b3be021a9171"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:f1e6540b7fa044eee0bb5111ada694cf3dc15f2b0347ca125ee9ca984d5e9e6e"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:91d6c171862df0a6c61479d9724f22efb6109111017c87567cfeb7b5d1449fdf"},
{file = "frozenlist-1.5.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c1fac3e2ace2eb1052e9f7c7db480818371134410e1f5c55d65e8f3ac6d1407e"},
{file = "frozenlist-1.5.0-cp38-cp38-win32.whl", hash = "sha256:b97f7b575ab4a8af9b7bc1d2ef7f29d3afee2226bd03ca3875c16451ad5a7723"},
{file = "frozenlist-1.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:374ca2dabdccad8e2a76d40b1d037f5bd16824933bf7bcea3e59c891fd4a0923"},
{file = "frozenlist-1.5.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:9bbcdfaf4af7ce002694a4e10a0159d5a8d20056a12b05b45cea944a4953f972"},
{file = "frozenlist-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1893f948bf6681733aaccf36c5232c231e3b5166d607c5fa77773611df6dc336"},
{file = "frozenlist-1.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2b5e23253bb709ef57a8e95e6ae48daa9ac5f265637529e4ce6b003a37b2621f"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f253985bb515ecd89629db13cb58d702035ecd8cfbca7d7a7e29a0e6d39af5f"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:04a5c6babd5e8fb7d3c871dc8b321166b80e41b637c31a995ed844a6139942b6"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9fe0f1c29ba24ba6ff6abf688cb0b7cf1efab6b6aa6adc55441773c252f7411"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:226d72559fa19babe2ccd920273e767c96a49b9d3d38badd7c91a0fdeda8ea08"},
{file = "frozenlist-1.5.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15b731db116ab3aedec558573c1a5eec78822b32292fe4f2f0345b7f697745c2"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:366d8f93e3edfe5a918c874702f78faac300209a4d5bf38352b2c1bdc07a766d"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1b96af8c582b94d381a1c1f51ffaedeb77c821c690ea5f01da3d70a487dd0a9b"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:c03eff4a41bd4e38415cbed054bbaff4a075b093e2394b6915dca34a40d1e38b"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:50cf5e7ee9b98f22bdecbabf3800ae78ddcc26e4a435515fc72d97903e8488e0"},
{file = "frozenlist-1.5.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:1e76bfbc72353269c44e0bc2cfe171900fbf7f722ad74c9a7b638052afe6a00c"},
{file = "frozenlist-1.5.0-cp39-cp39-win32.whl", hash = "sha256:666534d15ba8f0fda3f53969117383d5dc021266b3c1a42c9ec4855e4b58b9d3"},
{file = "frozenlist-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:5c28f4b5dbef8a0d8aad0d4de24d1e9e981728628afaf4ea0792f5d0939372f0"},
{file = "frozenlist-1.5.0-py3-none-any.whl", hash = "sha256:d994863bba198a4a518b467bb971c56e1db3f180a25c6cf7bb1949c267f748c3"},
{file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"},
]
[[package]]
name = "h11"
version = "0.14.0"
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
optional = false
python-versions = ">=3.7"
files = [
{file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
]
[[package]]
name = "httpcore"
version = "1.0.6"
description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpcore-1.0.6-py3-none-any.whl", hash = "sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f"},
{file = "httpcore-1.0.6.tar.gz", hash = "sha256:73f6dbd6eb8c21bbf7ef8efad555481853f5f6acdeaff1edb0694289269ee17f"},
]
[package.dependencies]
certifi = "*"
h11 = ">=0.13,<0.15"
[package.extras]
asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
trio = ["trio (>=0.22.0,<1.0)"]
[[package]]
name = "httpx"
version = "0.27.2"
description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
{file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
]
[package.dependencies]
anyio = "*"
certifi = "*"
httpcore = "==1.*"
idna = "*"
sniffio = "*"
[package.extras]
brotli = ["brotli", "brotlicffi"]
cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "idna"
version = "3.10"
description = "Internationalized Domain Names in Applications (IDNA)"
optional = false
python-versions = ">=3.6"
files = [
{file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
{file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
]
[package.extras]
all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
[[package]]
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
optional = false
python-versions = ">=3.7"
files = [
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
[[package]]
name = "jiter"
version = "0.7.1"
description = "Fast iterable JSON parser."
optional = false
python-versions = ">=3.8"
files = [
{file = "jiter-0.7.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:262e96d06696b673fad6f257e6a0abb6e873dc22818ca0e0600f4a1189eb334f"},
{file = "jiter-0.7.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:be6de02939aac5be97eb437f45cfd279b1dc9de358b13ea6e040e63a3221c40d"},
{file = "jiter-0.7.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:935f10b802bc1ce2b2f61843e498c7720aa7f4e4bb7797aa8121eab017293c3d"},
{file = "jiter-0.7.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9cd3cccccabf5064e4bb3099c87bf67db94f805c1e62d1aefd2b7476e90e0ee2"},
{file = "jiter-0.7.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4aa919ebfc5f7b027cc368fe3964c0015e1963b92e1db382419dadb098a05192"},
{file = "jiter-0.7.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ae2d01e82c94491ce4d6f461a837f63b6c4e6dd5bb082553a70c509034ff3d4"},
{file = "jiter-0.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f9568cd66dbbdab67ae1b4c99f3f7da1228c5682d65913e3f5f95586b3cb9a9"},
{file = "jiter-0.7.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9ecbf4e20ec2c26512736284dc1a3f8ed79b6ca7188e3b99032757ad48db97dc"},
{file = "jiter-0.7.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b1a0508fddc70ce00b872e463b387d49308ef02b0787992ca471c8d4ba1c0fa1"},
{file = "jiter-0.7.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f84c9996664c460f24213ff1e5881530abd8fafd82058d39af3682d5fd2d6316"},
{file = "jiter-0.7.1-cp310-none-win32.whl", hash = "sha256:c915e1a1960976ba4dfe06551ea87063b2d5b4d30759012210099e712a414d9f"},
{file = "jiter-0.7.1-cp310-none-win_amd64.whl", hash = "sha256:75bf3b7fdc5c0faa6ffffcf8028a1f974d126bac86d96490d1b51b3210aa0f3f"},
{file = "jiter-0.7.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:ad04a23a91f3d10d69d6c87a5f4471b61c2c5cd6e112e85136594a02043f462c"},
{file = "jiter-0.7.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e47a554de88dff701226bb5722b7f1b6bccd0b98f1748459b7e56acac2707a5"},
{file = "jiter-0.7.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e44fff69c814a2e96a20b4ecee3e2365e9b15cf5fe4e00869d18396daa91dab"},
{file = "jiter-0.7.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:df0a1d05081541b45743c965436f8b5a1048d6fd726e4a030113a2699a6046ea"},
{file = "jiter-0.7.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f22cf8f236a645cb6d8ffe2a64edb5d2b66fb148bf7c75eea0cb36d17014a7bc"},
{file = "jiter-0.7.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:da8589f50b728ea4bf22e0632eefa125c8aa9c38ed202a5ee6ca371f05eeb3ff"},
{file = "jiter-0.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f20de711224f2ca2dbb166a8d512f6ff48c9c38cc06b51f796520eb4722cc2ce"},
{file = "jiter-0.7.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8a9803396032117b85ec8cbf008a54590644a062fedd0425cbdb95e4b2b60479"},
{file = "jiter-0.7.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:3d8bae77c82741032e9d89a4026479061aba6e646de3bf5f2fc1ae2bbd9d06e0"},
{file = "jiter-0.7.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3dc9939e576bbc68c813fc82f6620353ed68c194c7bcf3d58dc822591ec12490"},
{file = "jiter-0.7.1-cp311-none-win32.whl", hash = "sha256:f7605d24cd6fab156ec89e7924578e21604feee9c4f1e9da34d8b67f63e54892"},
{file = "jiter-0.7.1-cp311-none-win_amd64.whl", hash = "sha256:f3ea649e7751a1a29ea5ecc03c4ada0a833846c59c6da75d747899f9b48b7282"},
{file = "jiter-0.7.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:ad36a1155cbd92e7a084a568f7dc6023497df781adf2390c345dd77a120905ca"},
{file = "jiter-0.7.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7ba52e6aaed2dc5c81a3d9b5e4ab95b039c4592c66ac973879ba57c3506492bb"},
{file = "jiter-0.7.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2b7de0b6f6728b678540c7927587e23f715284596724be203af952418acb8a2d"},
{file = "jiter-0.7.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9463b62bd53c2fb85529c700c6a3beb2ee54fde8bef714b150601616dcb184a6"},
{file = "jiter-0.7.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:627164ec01d28af56e1f549da84caf0fe06da3880ebc7b7ee1ca15df106ae172"},
{file = "jiter-0.7.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:25d0e5bf64e368b0aa9e0a559c3ab2f9b67e35fe7269e8a0d81f48bbd10e8963"},
{file = "jiter-0.7.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c244261306f08f8008b3087059601997016549cb8bb23cf4317a4827f07b7d74"},
{file = "jiter-0.7.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7ded4e4b75b68b843b7cea5cd7c55f738c20e1394c68c2cb10adb655526c5f1b"},
{file = "jiter-0.7.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:80dae4f1889b9d09e5f4de6b58c490d9c8ce7730e35e0b8643ab62b1538f095c"},
{file = "jiter-0.7.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5970cf8ec943b51bce7f4b98d2e1ed3ada170c2a789e2db3cb484486591a176a"},
{file = "jiter-0.7.1-cp312-none-win32.whl", hash = "sha256:701d90220d6ecb3125d46853c8ca8a5bc158de8c49af60fd706475a49fee157e"},
{file = "jiter-0.7.1-cp312-none-win_amd64.whl", hash = "sha256:7824c3ecf9ecf3321c37f4e4d4411aad49c666ee5bc2a937071bdd80917e4533"},
{file = "jiter-0.7.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:097676a37778ba3c80cb53f34abd6943ceb0848263c21bf423ae98b090f6c6ba"},
{file = "jiter-0.7.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3298af506d4271257c0a8f48668b0f47048d69351675dd8500f22420d4eec378"},
{file = "jiter-0.7.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:12fd88cfe6067e2199964839c19bd2b422ca3fd792949b8f44bb8a4e7d21946a"},
{file = "jiter-0.7.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:dacca921efcd21939123c8ea8883a54b9fa7f6545c8019ffcf4f762985b6d0c8"},
{file = "jiter-0.7.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de3674a5fe1f6713a746d25ad9c32cd32fadc824e64b9d6159b3b34fd9134143"},
{file = "jiter-0.7.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65df9dbae6d67e0788a05b4bad5706ad40f6f911e0137eb416b9eead6ba6f044"},
{file = "jiter-0.7.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ba9a358d59a0a55cccaa4957e6ae10b1a25ffdabda863c0343c51817610501d"},
{file = "jiter-0.7.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:576eb0f0c6207e9ede2b11ec01d9c2182973986514f9c60bc3b3b5d5798c8f50"},
{file = "jiter-0.7.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:e550e29cdf3577d2c970a18f3959e6b8646fd60ef1b0507e5947dc73703b5627"},
{file = "jiter-0.7.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:81d968dbf3ce0db2e0e4dec6b0a0d5d94f846ee84caf779b07cab49f5325ae43"},
{file = "jiter-0.7.1-cp313-none-win32.whl", hash = "sha256:f892e547e6e79a1506eb571a676cf2f480a4533675f834e9ae98de84f9b941ac"},
{file = "jiter-0.7.1-cp313-none-win_amd64.whl", hash = "sha256:0302f0940b1455b2a7fb0409b8d5b31183db70d2b07fd177906d83bf941385d1"},
{file = "jiter-0.7.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:c65a3ce72b679958b79d556473f192a4dfc5895e8cc1030c9f4e434690906076"},
{file = "jiter-0.7.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e80052d3db39f9bb8eb86d207a1be3d9ecee5e05fdec31380817f9609ad38e60"},
{file = "jiter-0.7.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:70a497859c4f3f7acd71c8bd89a6f9cf753ebacacf5e3e799138b8e1843084e3"},
{file = "jiter-0.7.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c1288bc22b9e36854a0536ba83666c3b1fb066b811019d7b682c9cf0269cdf9f"},
{file = "jiter-0.7.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b096ca72dd38ef35675e1d3b01785874315182243ef7aea9752cb62266ad516f"},
{file = "jiter-0.7.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8dbbd52c50b605af13dbee1a08373c520e6fcc6b5d32f17738875847fea4e2cd"},
{file = "jiter-0.7.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af29c5c6eb2517e71ffa15c7ae9509fa5e833ec2a99319ac88cc271eca865519"},
{file = "jiter-0.7.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f114a4df1e40c03c0efbf974b376ed57756a1141eb27d04baee0680c5af3d424"},
{file = "jiter-0.7.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:191fbaee7cf46a9dd9b817547bf556facde50f83199d07fc48ebeff4082f9df4"},
{file = "jiter-0.7.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0e2b445e5ee627fb4ee6bbceeb486251e60a0c881a8e12398dfdff47c56f0723"},
{file = "jiter-0.7.1-cp38-none-win32.whl", hash = "sha256:47ac4c3cf8135c83e64755b7276339b26cd3c7ddadf9e67306ace4832b283edf"},
{file = "jiter-0.7.1-cp38-none-win_amd64.whl", hash = "sha256:60b49c245cd90cde4794f5c30f123ee06ccf42fb8730a019a2870cd005653ebd"},
{file = "jiter-0.7.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:8f212eeacc7203256f526f550d105d8efa24605828382cd7d296b703181ff11d"},
{file = "jiter-0.7.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d9e247079d88c00e75e297e6cb3a18a039ebcd79fefc43be9ba4eb7fb43eb726"},
{file = "jiter-0.7.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f0aacaa56360139c53dcf352992b0331f4057a0373bbffd43f64ba0c32d2d155"},
{file = "jiter-0.7.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bc1b55314ca97dbb6c48d9144323896e9c1a25d41c65bcb9550b3e0c270ca560"},
{file = "jiter-0.7.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f281aae41b47e90deb70e7386558e877a8e62e1693e0086f37d015fa1c102289"},
{file = "jiter-0.7.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:93c20d2730a84d43f7c0b6fb2579dc54335db742a59cf9776d0b80e99d587382"},
{file = "jiter-0.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e81ccccd8069110e150613496deafa10da2f6ff322a707cbec2b0d52a87b9671"},
{file = "jiter-0.7.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0a7d5e85766eff4c9be481d77e2226b4c259999cb6862ccac5ef6621d3c8dcce"},
{file = "jiter-0.7.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f52ce5799df5b6975439ecb16b1e879d7655e1685b6e3758c9b1b97696313bfb"},
{file = "jiter-0.7.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:e0c91a0304373fdf97d56f88356a010bba442e6d995eb7773cbe32885b71cdd8"},
{file = "jiter-0.7.1-cp39-none-win32.whl", hash = "sha256:5c08adf93e41ce2755970e8aa95262298afe2bf58897fb9653c47cd93c3c6cdc"},
{file = "jiter-0.7.1-cp39-none-win_amd64.whl", hash = "sha256:6592f4067c74176e5f369228fb2995ed01400c9e8e1225fb73417183a5e635f0"},
{file = "jiter-0.7.1.tar.gz", hash = "sha256:448cf4f74f7363c34cdef26214da527e8eeffd88ba06d0b80b485ad0667baf5d"},
]
[[package]]
name = "jsonpatch"
version = "1.33"
description = "Apply JSON-Patches (RFC 6902)"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
{file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
{file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
]
[package.dependencies]
jsonpointer = ">=1.9"
[[package]]
name = "jsonpointer"
version = "3.0.0"
description = "Identify specific nodes in a JSON document (RFC 6901)"
optional = false
python-versions = ">=3.7"
files = [
{file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
{file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
]
[[package]]
name = "langchain-core"
version = "0.3.19"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.125"
packaging = ">=23.2,<25"
pydantic = [
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = ">=8.1.0,!=8.4.0,<10.0.0"
typing-extensions = ">=4.7"
[package.source]
type = "directory"
url = "../../core"
[[package]]
name = "langchain-openai"
version = "0.2.8"
description = "An integration package connecting OpenAI and LangChain"
optional = false
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
langchain-core = "^0.3.17"
openai = "^1.54.0"
tiktoken = ">=0.7,<1"
[package.source]
type = "directory"
url = "../openai"
[[package]]
name = "langchain-tests"
version = "0.3.1"
description = "Standard tests for LangChain implementations"
optional = false
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
httpx = "^0.27.0"
langchain-core = "^0.3.15"
pytest = ">=7,<9"
syrupy = "^4"
[package.source]
type = "directory"
url = "../../standard-tests"
[[package]]
name = "langsmith"
version = "0.1.142"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.142-py3-none-any.whl", hash = "sha256:f639ca23c9a0bb77af5fb881679b2f66ff1f21f19d0bebf4e51375e7585a8b38"},
{file = "langsmith-0.1.142.tar.gz", hash = "sha256:f8a84d100f3052233ff0a1d66ae14c5dfc20b7e41a1601de011384f16ee6cb82"},
]
[package.dependencies]
httpx = ">=0.23.0,<1"
orjson = ">=3.9.14,<4.0.0"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
requests = ">=2,<3"
requests-toolbelt = ">=1.0.0,<2.0.0"
[[package]]
name = "markdown-it-py"
version = "3.0.0"
description = "Python port of markdown-it. Markdown parsing, done right!"
optional = false
python-versions = ">=3.8"
files = [
{file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
{file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
]
[package.dependencies]
mdurl = ">=0.1,<1.0"
[package.extras]
benchmarking = ["psutil", "pytest", "pytest-benchmark"]
code-style = ["pre-commit (>=3.0,<4.0)"]
compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
linkify = ["linkify-it-py (>=1,<3)"]
plugins = ["mdit-py-plugins"]
profiling = ["gprof2dot"]
rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
[[package]]
name = "mdurl"
version = "0.1.2"
description = "Markdown URL utilities"
optional = false
python-versions = ">=3.7"
files = [
{file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
{file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
]
[[package]]
name = "multidict"
version = "6.1.0"
description = "multidict implementation"
optional = false
python-versions = ">=3.8"
files = [
{file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
{file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
{file = "multidict-6.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a114d03b938376557927ab23f1e950827c3b893ccb94b62fd95d430fd0e5cf53"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1c416351ee6271b2f49b56ad7f308072f6f44b37118d69c2cad94f3fa8a40d5"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6b5d83030255983181005e6cfbac1617ce9746b219bc2aad52201ad121226581"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3e97b5e938051226dc025ec80980c285b053ffb1e25a3db2a3aa3bc046bf7f56"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d618649d4e70ac6efcbba75be98b26ef5078faad23592f9b51ca492953012429"},
{file = "multidict-6.1.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10524ebd769727ac77ef2278390fb0068d83f3acb7773792a5080f2b0abf7748"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ff3827aef427c89a25cc96ded1759271a93603aba9fb977a6d264648ebf989db"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:06809f4f0f7ab7ea2cabf9caca7d79c22c0758b58a71f9d32943ae13c7ace056"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:f179dee3b863ab1c59580ff60f9d99f632f34ccb38bf67a33ec6b3ecadd0fd76"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:aaed8b0562be4a0876ee3b6946f6869b7bcdb571a5d1496683505944e268b160"},
{file = "multidict-6.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3c8b88a2ccf5493b6c8da9076fb151ba106960a2df90c2633f342f120751a9e7"},
{file = "multidict-6.1.0-cp310-cp310-win32.whl", hash = "sha256:4a9cb68166a34117d6646c0023c7b759bf197bee5ad4272f420a0141d7eb03a0"},
{file = "multidict-6.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:20b9b5fbe0b88d0bdef2012ef7dee867f874b72528cf1d08f1d59b0e3850129d"},
{file = "multidict-6.1.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:3efe2c2cb5763f2f1b275ad2bf7a287d3f7ebbef35648a9726e3b69284a4f3d6"},
{file = "multidict-6.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c7053d3b0353a8b9de430a4f4b4268ac9a4fb3481af37dfe49825bf45ca24156"},
{file = "multidict-6.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27e5fc84ccef8dfaabb09d82b7d179c7cf1a3fbc8a966f8274fcb4ab2eb4cadb"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e2b90b43e696f25c62656389d32236e049568b39320e2735d51f08fd362761b"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d83a047959d38a7ff552ff94be767b7fd79b831ad1cd9920662db05fec24fe72"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d1a9dd711d0877a1ece3d2e4fea11a8e75741ca21954c919406b44e7cf971304"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec2abea24d98246b94913b76a125e855eb5c434f7c46546046372fe60f666351"},
{file = "multidict-6.1.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4867cafcbc6585e4b678876c489b9273b13e9fff9f6d6d66add5e15d11d926cb"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:5b48204e8d955c47c55b72779802b219a39acc3ee3d0116d5080c388970b76e3"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:d8fff389528cad1618fb4b26b95550327495462cd745d879a8c7c2115248e399"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:a7a9541cd308eed5e30318430a9c74d2132e9a8cb46b901326272d780bf2d423"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:da1758c76f50c39a2efd5e9859ce7d776317eb1dd34317c8152ac9251fc574a3"},
{file = "multidict-6.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c943a53e9186688b45b323602298ab727d8865d8c9ee0b17f8d62d14b56f0753"},
{file = "multidict-6.1.0-cp311-cp311-win32.whl", hash = "sha256:90f8717cb649eea3504091e640a1b8568faad18bd4b9fcd692853a04475a4b80"},
{file = "multidict-6.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:82176036e65644a6cc5bd619f65f6f19781e8ec2e5330f51aa9ada7504cc1926"},
{file = "multidict-6.1.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:b04772ed465fa3cc947db808fa306d79b43e896beb677a56fb2347ca1a49c1fa"},
{file = "multidict-6.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6180c0ae073bddeb5a97a38c03f30c233e0a4d39cd86166251617d1bbd0af436"},
{file = "multidict-6.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:071120490b47aa997cca00666923a83f02c7fbb44f71cf7f136df753f7fa8761"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50b3a2710631848991d0bf7de077502e8994c804bb805aeb2925a981de58ec2e"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b58c621844d55e71c1b7f7c498ce5aa6985d743a1a59034c57a905b3f153c1ef"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55b6d90641869892caa9ca42ff913f7ff1c5ece06474fbd32fb2cf6834726c95"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b820514bfc0b98a30e3d85462084779900347e4d49267f747ff54060cc33925"},
{file = "multidict-6.1.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10a9b09aba0c5b48c53761b7c720aaaf7cf236d5fe394cd399c7ba662d5f9966"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:1e16bf3e5fc9f44632affb159d30a437bfe286ce9e02754759be5536b169b305"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:76f364861c3bfc98cbbcbd402d83454ed9e01a5224bb3a28bf70002a230f73e2"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:820c661588bd01a0aa62a1283f20d2be4281b086f80dad9e955e690c75fb54a2"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:0e5f362e895bc5b9e67fe6e4ded2492d8124bdf817827f33c5b46c2fe3ffaca6"},
{file = "multidict-6.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3ec660d19bbc671e3a6443325f07263be452c453ac9e512f5eb935e7d4ac28b3"},
{file = "multidict-6.1.0-cp312-cp312-win32.whl", hash = "sha256:58130ecf8f7b8112cdb841486404f1282b9c86ccb30d3519faf301b2e5659133"},
{file = "multidict-6.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:188215fc0aafb8e03341995e7c4797860181562380f81ed0a87ff455b70bf1f1"},
{file = "multidict-6.1.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:d569388c381b24671589335a3be6e1d45546c2988c2ebe30fdcada8457a31008"},
{file = "multidict-6.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:052e10d2d37810b99cc170b785945421141bf7bb7d2f8799d431e7db229c385f"},
{file = "multidict-6.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:f90c822a402cb865e396a504f9fc8173ef34212a342d92e362ca498cad308e28"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b225d95519a5bf73860323e633a664b0d85ad3d5bede6d30d95b35d4dfe8805b"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:23bfd518810af7de1116313ebd9092cb9aa629beb12f6ed631ad53356ed6b86c"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c09fcfdccdd0b57867577b719c69e347a436b86cd83747f179dbf0cc0d4c1f3"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf6bea52ec97e95560af5ae576bdac3aa3aae0b6758c6efa115236d9e07dae44"},
{file = "multidict-6.1.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:57feec87371dbb3520da6192213c7d6fc892d5589a93db548331954de8248fd2"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0c3f390dc53279cbc8ba976e5f8035eab997829066756d811616b652b00a23a3"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:59bfeae4b25ec05b34f1956eaa1cb38032282cd4dfabc5056d0a1ec4d696d3aa"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:b2f59caeaf7632cc633b5cf6fc449372b83bbdf0da4ae04d5be36118e46cc0aa"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:37bb93b2178e02b7b618893990941900fd25b6b9ac0fa49931a40aecdf083fe4"},
{file = "multidict-6.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4e9f48f58c2c523d5a06faea47866cd35b32655c46b443f163d08c6d0ddb17d6"},
{file = "multidict-6.1.0-cp313-cp313-win32.whl", hash = "sha256:3a37ffb35399029b45c6cc33640a92bef403c9fd388acce75cdc88f58bd19a81"},
{file = "multidict-6.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:e9aa71e15d9d9beaad2c6b9319edcdc0a49a43ef5c0a4c8265ca9ee7d6c67774"},
{file = "multidict-6.1.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:db7457bac39421addd0c8449933ac32d8042aae84a14911a757ae6ca3eef1392"},
{file = "multidict-6.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d094ddec350a2fb899fec68d8353c78233debde9b7d8b4beeafa70825f1c281a"},
{file = "multidict-6.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5845c1fd4866bb5dd3125d89b90e57ed3138241540897de748cdf19de8a2fca2"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9079dfc6a70abe341f521f78405b8949f96db48da98aeb43f9907f342f627cdc"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3914f5aaa0f36d5d60e8ece6a308ee1c9784cd75ec8151062614657a114c4478"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c08be4f460903e5a9d0f76818db3250f12e9c344e79314d1d570fc69d7f4eae4"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d093be959277cb7dee84b801eb1af388b6ad3ca6a6b6bf1ed7585895789d027d"},
{file = "multidict-6.1.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3702ea6872c5a2a4eeefa6ffd36b042e9773f05b1f37ae3ef7264b1163c2dcf6"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:2090f6a85cafc5b2db085124d752757c9d251548cedabe9bd31afe6363e0aff2"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:f67f217af4b1ff66c68a87318012de788dd95fcfeb24cc889011f4e1c7454dfd"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:189f652a87e876098bbc67b4da1049afb5f5dfbaa310dd67c594b01c10388db6"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:6bb5992037f7a9eff7991ebe4273ea7f51f1c1c511e6a2ce511d0e7bdb754492"},
{file = "multidict-6.1.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:ac10f4c2b9e770c4e393876e35a7046879d195cd123b4f116d299d442b335bcd"},
{file = "multidict-6.1.0-cp38-cp38-win32.whl", hash = "sha256:e27bbb6d14416713a8bd7aaa1313c0fc8d44ee48d74497a0ff4c3a1b6ccb5167"},
{file = "multidict-6.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:22f3105d4fb15c8f57ff3959a58fcab6ce36814486500cd7485651230ad4d4ef"},
{file = "multidict-6.1.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:4e18b656c5e844539d506a0a06432274d7bd52a7487e6828c63a63d69185626c"},
{file = "multidict-6.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a185f876e69897a6f3325c3f19f26a297fa058c5e456bfcff8015e9a27e83ae1"},
{file = "multidict-6.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ab7c4ceb38d91570a650dba194e1ca87c2b543488fe9309b4212694174fd539c"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e617fb6b0b6953fffd762669610c1c4ffd05632c138d61ac7e14ad187870669c"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:16e5f4bf4e603eb1fdd5d8180f1a25f30056f22e55ce51fb3d6ad4ab29f7d96f"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f4c035da3f544b1882bac24115f3e2e8760f10a0107614fc9839fd232200b875"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:957cf8e4b6e123a9eea554fa7ebc85674674b713551de587eb318a2df3e00255"},
{file = "multidict-6.1.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:483a6aea59cb89904e1ceabd2b47368b5600fb7de78a6e4a2c2987b2d256cf30"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:87701f25a2352e5bf7454caa64757642734da9f6b11384c1f9d1a8e699758057"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:682b987361e5fd7a139ed565e30d81fd81e9629acc7d925a205366877d8c8657"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ce2186a7df133a9c895dea3331ddc5ddad42cdd0d1ea2f0a51e5d161e4762f28"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:9f636b730f7e8cb19feb87094949ba54ee5357440b9658b2a32a5ce4bce53972"},
{file = "multidict-6.1.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:73eae06aa53af2ea5270cc066dcaf02cc60d2994bbb2c4ef5764949257d10f43"},
{file = "multidict-6.1.0-cp39-cp39-win32.whl", hash = "sha256:1ca0083e80e791cffc6efce7660ad24af66c8d4079d2a750b29001b53ff59ada"},
{file = "multidict-6.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:aa466da5b15ccea564bdab9c89175c762bc12825f4659c11227f515cee76fa4a"},
{file = "multidict-6.1.0-py3-none-any.whl", hash = "sha256:48e171e52d1c4d33888e529b999e5900356b9ae588c2f09a52dcefb158b27506"},
{file = "multidict-6.1.0.tar.gz", hash = "sha256:22ae2ebf9b0c69d206c003e2f6a914ea33f0a932d4aa16f236afc049d9958f4a"},
]
[package.dependencies]
typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
[[package]]
name = "mypy"
version = "1.13.0"
description = "Optional static typing for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "mypy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6607e0f1dd1fb7f0aca14d936d13fd19eba5e17e1cd2a14f808fa5f8f6d8f60a"},
{file = "mypy-1.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a21be69bd26fa81b1f80a61ee7ab05b076c674d9b18fb56239d72e21d9f4c80"},
{file = "mypy-1.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7b2353a44d2179846a096e25691d54d59904559f4232519d420d64da6828a3a7"},
{file = "mypy-1.13.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0730d1c6a2739d4511dc4253f8274cdd140c55c32dfb0a4cf8b7a43f40abfa6f"},
{file = "mypy-1.13.0-cp310-cp310-win_amd64.whl", hash = "sha256:c5fc54dbb712ff5e5a0fca797e6e0aa25726c7e72c6a5850cfd2adbc1eb0a372"},
{file = "mypy-1.13.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:581665e6f3a8a9078f28d5502f4c334c0c8d802ef55ea0e7276a6e409bc0d82d"},
{file = "mypy-1.13.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3ddb5b9bf82e05cc9a627e84707b528e5c7caaa1c55c69e175abb15a761cec2d"},
{file = "mypy-1.13.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:20c7ee0bc0d5a9595c46f38beb04201f2620065a93755704e141fcac9f59db2b"},
{file = "mypy-1.13.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3790ded76f0b34bc9c8ba4def8f919dd6a46db0f5a6610fb994fe8efdd447f73"},
{file = "mypy-1.13.0-cp311-cp311-win_amd64.whl", hash = "sha256:51f869f4b6b538229c1d1bcc1dd7d119817206e2bc54e8e374b3dfa202defcca"},
{file = "mypy-1.13.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5c7051a3461ae84dfb5dd15eff5094640c61c5f22257c8b766794e6dd85e72d5"},
{file = "mypy-1.13.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:39bb21c69a5d6342f4ce526e4584bc5c197fd20a60d14a8624d8743fffb9472e"},
{file = "mypy-1.13.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:164f28cb9d6367439031f4c81e84d3ccaa1e19232d9d05d37cb0bd880d3f93c2"},
{file = "mypy-1.13.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a4c1bfcdbce96ff5d96fc9b08e3831acb30dc44ab02671eca5953eadad07d6d0"},
{file = "mypy-1.13.0-cp312-cp312-win_amd64.whl", hash = "sha256:a0affb3a79a256b4183ba09811e3577c5163ed06685e4d4b46429a271ba174d2"},
{file = "mypy-1.13.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a7b44178c9760ce1a43f544e595d35ed61ac2c3de306599fa59b38a6048e1aa7"},
{file = "mypy-1.13.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5d5092efb8516d08440e36626f0153b5006d4088c1d663d88bf79625af3d1d62"},
{file = "mypy-1.13.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:de2904956dac40ced10931ac967ae63c5089bd498542194b436eb097a9f77bc8"},
{file = "mypy-1.13.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:7bfd8836970d33c2105562650656b6846149374dc8ed77d98424b40b09340ba7"},
{file = "mypy-1.13.0-cp313-cp313-win_amd64.whl", hash = "sha256:9f73dba9ec77acb86457a8fc04b5239822df0c14a082564737833d2963677dbc"},
{file = "mypy-1.13.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:100fac22ce82925f676a734af0db922ecfea991e1d7ec0ceb1e115ebe501301a"},
{file = "mypy-1.13.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7bcb0bb7f42a978bb323a7c88f1081d1b5dee77ca86f4100735a6f541299d8fb"},
{file = "mypy-1.13.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bde31fc887c213e223bbfc34328070996061b0833b0a4cfec53745ed61f3519b"},
{file = "mypy-1.13.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:07de989f89786f62b937851295ed62e51774722e5444a27cecca993fc3f9cd74"},
{file = "mypy-1.13.0-cp38-cp38-win_amd64.whl", hash = "sha256:4bde84334fbe19bad704b3f5b78c4abd35ff1026f8ba72b29de70dda0916beb6"},
{file = "mypy-1.13.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0246bcb1b5de7f08f2826451abd947bf656945209b140d16ed317f65a17dc7dc"},
{file = "mypy-1.13.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7f5b7deae912cf8b77e990b9280f170381fdfbddf61b4ef80927edd813163732"},
{file = "mypy-1.13.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7029881ec6ffb8bc233a4fa364736789582c738217b133f1b55967115288a2bc"},
{file = "mypy-1.13.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3e38b980e5681f28f033f3be86b099a247b13c491f14bb8b1e1e134d23bb599d"},
{file = "mypy-1.13.0-cp39-cp39-win_amd64.whl", hash = "sha256:a6789be98a2017c912ae6ccb77ea553bbaf13d27605d2ca20a76dfbced631b24"},
{file = "mypy-1.13.0-py3-none-any.whl", hash = "sha256:9c250883f9fd81d212e0952c92dbfcc96fc237f4b7c92f56ac81fd48460b3e5a"},
{file = "mypy-1.13.0.tar.gz", hash = "sha256:0291a61b6fbf3e6673e3405cfcc0e7650bebc7939659fdca2702958038bd835e"},
]
[package.dependencies]
mypy-extensions = ">=1.0.0"
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
typing-extensions = ">=4.6.0"
[package.extras]
dmypy = ["psutil (>=4.0)"]
faster-cache = ["orjson"]
install-types = ["pip"]
mypyc = ["setuptools (>=50)"]
reports = ["lxml"]
[[package]]
name = "mypy-extensions"
version = "1.0.0"
description = "Type system extensions for programs checked with the mypy type checker."
optional = false
python-versions = ">=3.5"
files = [
{file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
]
[[package]]
name = "numpy"
version = "1.26.4"
description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.9"
files = [
{file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
{file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
{file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
{file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
{file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
{file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
{file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
{file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
{file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"},
{file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"},
{file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"},
{file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"},
{file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"},
{file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"},
{file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"},
{file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"},
{file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
{file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
{file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
{file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
{file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"},
{file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"},
{file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"},
{file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"},
{file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"},
{file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"},
{file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"},
{file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"},
{file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"},
{file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"},
{file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"},
{file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"},
{file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
{file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
{file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
{file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
]
[[package]]
name = "openai"
version = "1.54.4"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.8"
files = [
{file = "openai-1.54.4-py3-none-any.whl", hash = "sha256:0d95cef99346bf9b6d7fbf57faf61a673924c3e34fa8af84c9ffe04660673a7e"},
{file = "openai-1.54.4.tar.gz", hash = "sha256:50f3656e45401c54e973fa05dc29f3f0b0d19348d685b2f7ddb4d92bf7b1b6bf"},
]
[package.dependencies]
anyio = ">=3.5.0,<5"
distro = ">=1.7.0,<2"
httpx = ">=0.23.0,<1"
jiter = ">=0.4.0,<1"
pydantic = ">=1.9.0,<3"
sniffio = "*"
tqdm = ">4"
typing-extensions = ">=4.11,<5"
[package.extras]
datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
[[package]]
name = "orjson"
version = "3.10.11"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
python-versions = ">=3.8"
files = [
{file = "orjson-3.10.11-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6dade64687f2bd7c090281652fe18f1151292d567a9302b34c2dbb92a3872f1f"},
{file = "orjson-3.10.11-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82f07c550a6ccd2b9290849b22316a609023ed851a87ea888c0456485a7d196a"},
{file = "orjson-3.10.11-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bd9a187742d3ead9df2e49240234d728c67c356516cf4db018833a86f20ec18c"},
{file = "orjson-3.10.11-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:77b0fed6f209d76c1c39f032a70df2d7acf24b1812ca3e6078fd04e8972685a3"},
{file = "orjson-3.10.11-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:63fc9d5fe1d4e8868f6aae547a7b8ba0a2e592929245fff61d633f4caccdcdd6"},
{file = "orjson-3.10.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65cd3e3bb4fbb4eddc3c1e8dce10dc0b73e808fcb875f9fab40c81903dd9323e"},
{file = "orjson-3.10.11-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:6f67c570602300c4befbda12d153113b8974a3340fdcf3d6de095ede86c06d92"},
{file = "orjson-3.10.11-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1f39728c7f7d766f1f5a769ce4d54b5aaa4c3f92d5b84817053cc9995b977acc"},
{file = "orjson-3.10.11-cp310-none-win32.whl", hash = "sha256:1789d9db7968d805f3d94aae2c25d04014aae3a2fa65b1443117cd462c6da647"},
{file = "orjson-3.10.11-cp310-none-win_amd64.whl", hash = "sha256:5576b1e5a53a5ba8f8df81872bb0878a112b3ebb1d392155f00f54dd86c83ff6"},
{file = "orjson-3.10.11-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:1444f9cb7c14055d595de1036f74ecd6ce15f04a715e73f33bb6326c9cef01b6"},
{file = "orjson-3.10.11-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdec57fe3b4bdebcc08a946db3365630332dbe575125ff3d80a3272ebd0ddafe"},
{file = "orjson-3.10.11-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4eed32f33a0ea6ef36ccc1d37f8d17f28a1d6e8eefae5928f76aff8f1df85e67"},
{file = "orjson-3.10.11-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:80df27dd8697242b904f4ea54820e2d98d3f51f91e97e358fc13359721233e4b"},
{file = "orjson-3.10.11-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:705f03cee0cb797256d54de6695ef219e5bc8c8120b6654dd460848d57a9af3d"},
{file = "orjson-3.10.11-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03246774131701de8e7059b2e382597da43144a9a7400f178b2a32feafc54bd5"},
{file = "orjson-3.10.11-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8b5759063a6c940a69c728ea70d7c33583991c6982915a839c8da5f957e0103a"},
{file = "orjson-3.10.11-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:677f23e32491520eebb19c99bb34675daf5410c449c13416f7f0d93e2cf5f981"},
{file = "orjson-3.10.11-cp311-none-win32.whl", hash = "sha256:a11225d7b30468dcb099498296ffac36b4673a8398ca30fdaec1e6c20df6aa55"},
{file = "orjson-3.10.11-cp311-none-win_amd64.whl", hash = "sha256:df8c677df2f9f385fcc85ab859704045fa88d4668bc9991a527c86e710392bec"},
{file = "orjson-3.10.11-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:360a4e2c0943da7c21505e47cf6bd725588962ff1d739b99b14e2f7f3545ba51"},
{file = "orjson-3.10.11-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:496e2cb45de21c369079ef2d662670a4892c81573bcc143c4205cae98282ba97"},
{file = "orjson-3.10.11-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7dfa8db55c9792d53c5952900c6a919cfa377b4f4534c7a786484a6a4a350c19"},
{file = "orjson-3.10.11-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:51f3382415747e0dbda9dade6f1e1a01a9d37f630d8c9049a8ed0e385b7a90c0"},
{file = "orjson-3.10.11-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f35a1b9f50a219f470e0e497ca30b285c9f34948d3c8160d5ad3a755d9299433"},
{file = "orjson-3.10.11-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e2f3b7c5803138e67028dde33450e054c87e0703afbe730c105f1fcd873496d5"},
{file = "orjson-3.10.11-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f91d9eb554310472bd09f5347950b24442600594c2edc1421403d7610a0998fd"},
{file = "orjson-3.10.11-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:dfbb2d460a855c9744bbc8e36f9c3a997c4b27d842f3d5559ed54326e6911f9b"},
{file = "orjson-3.10.11-cp312-none-win32.whl", hash = "sha256:d4a62c49c506d4d73f59514986cadebb7e8d186ad510c518f439176cf8d5359d"},
{file = "orjson-3.10.11-cp312-none-win_amd64.whl", hash = "sha256:f1eec3421a558ff7a9b010a6c7effcfa0ade65327a71bb9b02a1c3b77a247284"},
{file = "orjson-3.10.11-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c46294faa4e4d0eb73ab68f1a794d2cbf7bab33b1dda2ac2959ffb7c61591899"},
{file = "orjson-3.10.11-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:52e5834d7d6e58a36846e059d00559cb9ed20410664f3ad156cd2cc239a11230"},
{file = "orjson-3.10.11-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2fc947e5350fdce548bfc94f434e8760d5cafa97fb9c495d2fef6757aa02ec0"},
{file = "orjson-3.10.11-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0efabbf839388a1dab5b72b5d3baedbd6039ac83f3b55736eb9934ea5494d258"},
{file = "orjson-3.10.11-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a3f29634260708c200c4fe148e42b4aae97d7b9fee417fbdd74f8cfc265f15b0"},
{file = "orjson-3.10.11-cp313-none-win32.whl", hash = "sha256:1a1222ffcee8a09476bbdd5d4f6f33d06d0d6642df2a3d78b7a195ca880d669b"},
{file = "orjson-3.10.11-cp313-none-win_amd64.whl", hash = "sha256:bc274ac261cc69260913b2d1610760e55d3c0801bb3457ba7b9004420b6b4270"},
{file = "orjson-3.10.11-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:19b3763e8bbf8ad797df6b6b5e0fc7c843ec2e2fc0621398534e0c6400098f87"},
{file = "orjson-3.10.11-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1be83a13312e5e58d633580c5eb8d0495ae61f180da2722f20562974188af205"},
{file = "orjson-3.10.11-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:afacfd1ab81f46dedd7f6001b6d4e8de23396e4884cd3c3436bd05defb1a6446"},
{file = "orjson-3.10.11-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cb4d0bea56bba596723d73f074c420aec3b2e5d7d30698bc56e6048066bd560c"},
{file = "orjson-3.10.11-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:96ed1de70fcb15d5fed529a656df29f768187628727ee2788344e8a51e1c1350"},
{file = "orjson-3.10.11-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4bfb30c891b530f3f80e801e3ad82ef150b964e5c38e1fb8482441c69c35c61c"},
{file = "orjson-3.10.11-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d496c74fc2b61341e3cefda7eec21b7854c5f672ee350bc55d9a4997a8a95204"},
{file = "orjson-3.10.11-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:655a493bac606655db9a47fe94d3d84fc7f3ad766d894197c94ccf0c5408e7d3"},
{file = "orjson-3.10.11-cp38-none-win32.whl", hash = "sha256:b9546b278c9fb5d45380f4809e11b4dd9844ca7aaf1134024503e134ed226161"},
{file = "orjson-3.10.11-cp38-none-win_amd64.whl", hash = "sha256:b592597fe551d518f42c5a2eb07422eb475aa8cfdc8c51e6da7054b836b26782"},
{file = "orjson-3.10.11-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c95f2ecafe709b4e5c733b5e2768ac569bed308623c85806c395d9cca00e08af"},
{file = "orjson-3.10.11-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:80c00d4acded0c51c98754fe8218cb49cb854f0f7eb39ea4641b7f71732d2cb7"},
{file = "orjson-3.10.11-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:461311b693d3d0a060439aa669c74f3603264d4e7a08faa68c47ae5a863f352d"},
{file = "orjson-3.10.11-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:52ca832f17d86a78cbab86cdc25f8c13756ebe182b6fc1a97d534051c18a08de"},
{file = "orjson-3.10.11-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f4c57ea78a753812f528178aa2f1c57da633754c91d2124cb28991dab4c79a54"},
{file = "orjson-3.10.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7fcfc6f7ca046383fb954ba528587e0f9336828b568282b27579c49f8e16aad"},
{file = "orjson-3.10.11-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:86b9dd983857970c29e4c71bb3e95ff085c07d3e83e7c46ebe959bac07ebd80b"},
{file = "orjson-3.10.11-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:4d83f87582d223e54efb2242a79547611ba4ebae3af8bae1e80fa9a0af83bb7f"},
{file = "orjson-3.10.11-cp39-none-win32.whl", hash = "sha256:9fd0ad1c129bc9beb1154c2655f177620b5beaf9a11e0d10bac63ef3fce96950"},
{file = "orjson-3.10.11-cp39-none-win_amd64.whl", hash = "sha256:10f416b2a017c8bd17f325fb9dee1fb5cdd7a54e814284896b7c3f2763faa017"},
{file = "orjson-3.10.11.tar.gz", hash = "sha256:e35b6d730de6384d5b2dab5fd23f0d76fae8bbc8c353c2f78210aa5fa4beb3ef"},
]
[[package]]
name = "packaging"
version = "24.2"
description = "Core utilities for Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
{file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
]
[[package]]
name = "pluggy"
version = "1.5.0"
description = "plugin and hook calling mechanisms for python"
optional = false
python-versions = ">=3.8"
files = [
{file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
{file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
]
[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "propcache"
version = "0.2.0"
description = "Accelerated property cache"
optional = false
python-versions = ">=3.8"
files = [
{file = "propcache-0.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c5869b8fd70b81835a6f187c5fdbe67917a04d7e52b6e7cc4e5fe39d55c39d58"},
{file = "propcache-0.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:952e0d9d07609d9c5be361f33b0d6d650cd2bae393aabb11d9b719364521984b"},
{file = "propcache-0.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:33ac8f098df0585c0b53009f039dfd913b38c1d2edafed0cedcc0c32a05aa110"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:97e48e8875e6c13909c800fa344cd54cc4b2b0db1d5f911f840458a500fde2c2"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:388f3217649d6d59292b722d940d4d2e1e6a7003259eb835724092a1cca0203a"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f571aea50ba5623c308aa146eb650eebf7dbe0fd8c5d946e28343cb3b5aad577"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3dfafb44f7bb35c0c06eda6b2ab4bfd58f02729e7c4045e179f9a861b07c9850"},
{file = "propcache-0.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a3ebe9a75be7ab0b7da2464a77bb27febcb4fab46a34f9288f39d74833db7f61"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d2f0d0f976985f85dfb5f3d685697ef769faa6b71993b46b295cdbbd6be8cc37"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:a3dc1a4b165283bd865e8f8cb5f0c64c05001e0718ed06250d8cac9bec115b48"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9e0f07b42d2a50c7dd2d8675d50f7343d998c64008f1da5fef888396b7f84630"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:e63e3e1e0271f374ed489ff5ee73d4b6e7c60710e1f76af5f0e1a6117cd26394"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:56bb5c98f058a41bb58eead194b4db8c05b088c93d94d5161728515bd52b052b"},
{file = "propcache-0.2.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7665f04d0c7f26ff8bb534e1c65068409bf4687aa2534faf7104d7182debb336"},
{file = "propcache-0.2.0-cp310-cp310-win32.whl", hash = "sha256:7cf18abf9764746b9c8704774d8b06714bcb0a63641518a3a89c7f85cc02c2ad"},
{file = "propcache-0.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:cfac69017ef97db2438efb854edf24f5a29fd09a536ff3a992b75990720cdc99"},
{file = "propcache-0.2.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:63f13bf09cc3336eb04a837490b8f332e0db41da66995c9fd1ba04552e516354"},
{file = "propcache-0.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:608cce1da6f2672a56b24a015b42db4ac612ee709f3d29f27a00c943d9e851de"},
{file = "propcache-0.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:466c219deee4536fbc83c08d09115249db301550625c7fef1c5563a584c9bc87"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc2db02409338bf36590aa985a461b2c96fce91f8e7e0f14c50c5fcc4f229016"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a6ed8db0a556343d566a5c124ee483ae113acc9a557a807d439bcecc44e7dfbb"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:91997d9cb4a325b60d4e3f20967f8eb08dfcb32b22554d5ef78e6fd1dda743a2"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c7dde9e533c0a49d802b4f3f218fa9ad0a1ce21f2c2eb80d5216565202acab4"},
{file = "propcache-0.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffcad6c564fe6b9b8916c1aefbb37a362deebf9394bd2974e9d84232e3e08504"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:97a58a28bcf63284e8b4d7b460cbee1edaab24634e82059c7b8c09e65284f178"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:945db8ee295d3af9dbdbb698cce9bbc5c59b5c3fe328bbc4387f59a8a35f998d"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:39e104da444a34830751715f45ef9fc537475ba21b7f1f5b0f4d71a3b60d7fe2"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:c5ecca8f9bab618340c8e848d340baf68bcd8ad90a8ecd7a4524a81c1764b3db"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:c436130cc779806bdf5d5fae0d848713105472b8566b75ff70048c47d3961c5b"},
{file = "propcache-0.2.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:191db28dc6dcd29d1a3e063c3be0b40688ed76434622c53a284e5427565bbd9b"},
{file = "propcache-0.2.0-cp311-cp311-win32.whl", hash = "sha256:5f2564ec89058ee7c7989a7b719115bdfe2a2fb8e7a4543b8d1c0cc4cf6478c1"},
{file = "propcache-0.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:6e2e54267980349b723cff366d1e29b138b9a60fa376664a157a342689553f71"},
{file = "propcache-0.2.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:2ee7606193fb267be4b2e3b32714f2d58cad27217638db98a60f9efb5efeccc2"},
{file = "propcache-0.2.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:91ee8fc02ca52e24bcb77b234f22afc03288e1dafbb1f88fe24db308910c4ac7"},
{file = "propcache-0.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2e900bad2a8456d00a113cad8c13343f3b1f327534e3589acc2219729237a2e8"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f52a68c21363c45297aca15561812d542f8fc683c85201df0bebe209e349f793"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1e41d67757ff4fbc8ef2af99b338bfb955010444b92929e9e55a6d4dcc3c4f09"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a64e32f8bd94c105cc27f42d3b658902b5bcc947ece3c8fe7bc1b05982f60e89"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:55346705687dbd7ef0d77883ab4f6fabc48232f587925bdaf95219bae072491e"},
{file = "propcache-0.2.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00181262b17e517df2cd85656fcd6b4e70946fe62cd625b9d74ac9977b64d8d9"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6994984550eaf25dd7fc7bd1b700ff45c894149341725bb4edc67f0ffa94efa4"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:56295eb1e5f3aecd516d91b00cfd8bf3a13991de5a479df9e27dd569ea23959c"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:439e76255daa0f8151d3cb325f6dd4a3e93043e6403e6491813bcaaaa8733887"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:f6475a1b2ecb310c98c28d271a30df74f9dd436ee46d09236a6b750a7599ce57"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:3444cdba6628accf384e349014084b1cacd866fbb88433cd9d279d90a54e0b23"},
{file = "propcache-0.2.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:4a9d9b4d0a9b38d1c391bb4ad24aa65f306c6f01b512e10a8a34a2dc5675d348"},
{file = "propcache-0.2.0-cp312-cp312-win32.whl", hash = "sha256:69d3a98eebae99a420d4b28756c8ce6ea5a29291baf2dc9ff9414b42676f61d5"},
{file = "propcache-0.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:ad9c9b99b05f163109466638bd30ada1722abb01bbb85c739c50b6dc11f92dc3"},
{file = "propcache-0.2.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:ecddc221a077a8132cf7c747d5352a15ed763b674c0448d811f408bf803d9ad7"},
{file = "propcache-0.2.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0e53cb83fdd61cbd67202735e6a6687a7b491c8742dfc39c9e01e80354956763"},
{file = "propcache-0.2.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:92fe151145a990c22cbccf9ae15cae8ae9eddabfc949a219c9f667877e40853d"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6a21ef516d36909931a2967621eecb256018aeb11fc48656e3257e73e2e247a"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3f88a4095e913f98988f5b338c1d4d5d07dbb0b6bad19892fd447484e483ba6b"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a5b3bb545ead161be780ee85a2b54fdf7092815995661947812dde94a40f6fb"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67aeb72e0f482709991aa91345a831d0b707d16b0257e8ef88a2ad246a7280bf"},
{file = "propcache-0.2.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3c997f8c44ec9b9b0bcbf2d422cc00a1d9b9c681f56efa6ca149a941e5560da2"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2a66df3d4992bc1d725b9aa803e8c5a66c010c65c741ad901e260ece77f58d2f"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:3ebbcf2a07621f29638799828b8d8668c421bfb94c6cb04269130d8de4fb7136"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:1235c01ddaa80da8235741e80815ce381c5267f96cc49b1477fdcf8c047ef325"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:3947483a381259c06921612550867b37d22e1df6d6d7e8361264b6d037595f44"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:d5bed7f9805cc29c780f3aee05de3262ee7ce1f47083cfe9f77471e9d6777e83"},
{file = "propcache-0.2.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e4a91d44379f45f5e540971d41e4626dacd7f01004826a18cb048e7da7e96544"},
{file = "propcache-0.2.0-cp313-cp313-win32.whl", hash = "sha256:f902804113e032e2cdf8c71015651c97af6418363bea8d78dc0911d56c335032"},
{file = "propcache-0.2.0-cp313-cp313-win_amd64.whl", hash = "sha256:8f188cfcc64fb1266f4684206c9de0e80f54622c3f22a910cbd200478aeae61e"},
{file = "propcache-0.2.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:53d1bd3f979ed529f0805dd35ddaca330f80a9a6d90bc0121d2ff398f8ed8861"},
{file = "propcache-0.2.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:83928404adf8fb3d26793665633ea79b7361efa0287dfbd372a7e74311d51ee6"},
{file = "propcache-0.2.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:77a86c261679ea5f3896ec060be9dc8e365788248cc1e049632a1be682442063"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:218db2a3c297a3768c11a34812e63b3ac1c3234c3a086def9c0fee50d35add1f"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7735e82e3498c27bcb2d17cb65d62c14f1100b71723b68362872bca7d0913d90"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:20a617c776f520c3875cf4511e0d1db847a076d720714ae35ffe0df3e440be68"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67b69535c870670c9f9b14a75d28baa32221d06f6b6fa6f77a0a13c5a7b0a5b9"},
{file = "propcache-0.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4569158070180c3855e9c0791c56be3ceeb192defa2cdf6a3f39e54319e56b89"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:db47514ffdbd91ccdc7e6f8407aac4ee94cc871b15b577c1c324236b013ddd04"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_armv7l.whl", hash = "sha256:2a60ad3e2553a74168d275a0ef35e8c0a965448ffbc3b300ab3a5bb9956c2162"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:662dd62358bdeaca0aee5761de8727cfd6861432e3bb828dc2a693aa0471a563"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:25a1f88b471b3bc911d18b935ecb7115dff3a192b6fef46f0bfaf71ff4f12418"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:f60f0ac7005b9f5a6091009b09a419ace1610e163fa5deaba5ce3484341840e7"},
{file = "propcache-0.2.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:74acd6e291f885678631b7ebc85d2d4aec458dd849b8c841b57ef04047833bed"},
{file = "propcache-0.2.0-cp38-cp38-win32.whl", hash = "sha256:d9b6ddac6408194e934002a69bcaadbc88c10b5f38fb9307779d1c629181815d"},
{file = "propcache-0.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:676135dcf3262c9c5081cc8f19ad55c8a64e3f7282a21266d05544450bffc3a5"},
{file = "propcache-0.2.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:25c8d773a62ce0451b020c7b29a35cfbc05de8b291163a7a0f3b7904f27253e6"},
{file = "propcache-0.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:375a12d7556d462dc64d70475a9ee5982465fbb3d2b364f16b86ba9135793638"},
{file = "propcache-0.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1ec43d76b9677637a89d6ab86e1fef70d739217fefa208c65352ecf0282be957"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f45eec587dafd4b2d41ac189c2156461ebd0c1082d2fe7013571598abb8505d1"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bc092ba439d91df90aea38168e11f75c655880c12782facf5cf9c00f3d42b562"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fa1076244f54bb76e65e22cb6910365779d5c3d71d1f18b275f1dfc7b0d71b4d"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:682a7c79a2fbf40f5dbb1eb6bfe2cd865376deeac65acf9beb607505dced9e12"},
{file = "propcache-0.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8e40876731f99b6f3c897b66b803c9e1c07a989b366c6b5b475fafd1f7ba3fb8"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:363ea8cd3c5cb6679f1c2f5f1f9669587361c062e4899fce56758efa928728f8"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:140fbf08ab3588b3468932974a9331aff43c0ab8a2ec2c608b6d7d1756dbb6cb"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:e70fac33e8b4ac63dfc4c956fd7d85a0b1139adcfc0d964ce288b7c527537fea"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:b33d7a286c0dc1a15f5fc864cc48ae92a846df287ceac2dd499926c3801054a6"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:f6d5749fdd33d90e34c2efb174c7e236829147a2713334d708746e94c4bde40d"},
{file = "propcache-0.2.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:22aa8f2272d81d9317ff5756bb108021a056805ce63dd3630e27d042c8092798"},
{file = "propcache-0.2.0-cp39-cp39-win32.whl", hash = "sha256:73e4b40ea0eda421b115248d7e79b59214411109a5bc47d0d48e4c73e3b8fcf9"},
{file = "propcache-0.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:9517d5e9e0731957468c29dbfd0f976736a0e55afaea843726e887f36fe017df"},
{file = "propcache-0.2.0-py3-none-any.whl", hash = "sha256:2ccc28197af5313706511fab3a8b66dcd6da067a1331372c82ea1cb74285e036"},
{file = "propcache-0.2.0.tar.gz", hash = "sha256:df81779732feb9d01e5d513fad0122efb3d53bbc75f61b2a4f29a020bc985e70"},
]
[[package]]
name = "pydantic"
version = "2.9.2"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12"},
{file = "pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f"},
]
[package.dependencies]
annotated-types = ">=0.6.0"
pydantic-core = "2.23.4"
typing-extensions = [
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
]
[package.extras]
email = ["email-validator (>=2.0.0)"]
timezone = ["tzdata"]
[[package]]
name = "pydantic-core"
version = "2.23.4"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
{file = "pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2"},
{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f"},
{file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3"},
{file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071"},
{file = "pydantic_core-2.23.4-cp310-none-win32.whl", hash = "sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119"},
{file = "pydantic_core-2.23.4-cp310-none-win_amd64.whl", hash = "sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f"},
{file = "pydantic_core-2.23.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8"},
{file = "pydantic_core-2.23.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e"},
{file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b"},
{file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0"},
{file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64"},
{file = "pydantic_core-2.23.4-cp311-none-win32.whl", hash = "sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f"},
{file = "pydantic_core-2.23.4-cp311-none-win_amd64.whl", hash = "sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3"},
{file = "pydantic_core-2.23.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231"},
{file = "pydantic_core-2.23.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36"},
{file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126"},
{file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e"},
{file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24"},
{file = "pydantic_core-2.23.4-cp312-none-win32.whl", hash = "sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84"},
{file = "pydantic_core-2.23.4-cp312-none-win_amd64.whl", hash = "sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9"},
{file = "pydantic_core-2.23.4-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc"},
{file = "pydantic_core-2.23.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b"},
{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327"},
{file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6"},
{file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f"},
{file = "pydantic_core-2.23.4-cp313-none-win32.whl", hash = "sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769"},
{file = "pydantic_core-2.23.4-cp313-none-win_amd64.whl", hash = "sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5"},
{file = "pydantic_core-2.23.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555"},
{file = "pydantic_core-2.23.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad"},
{file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12"},
{file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2"},
{file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb"},
{file = "pydantic_core-2.23.4-cp38-none-win32.whl", hash = "sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6"},
{file = "pydantic_core-2.23.4-cp38-none-win_amd64.whl", hash = "sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556"},
{file = "pydantic_core-2.23.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a"},
{file = "pydantic_core-2.23.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c"},
{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55"},
{file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040"},
{file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605"},
{file = "pydantic_core-2.23.4-cp39-none-win32.whl", hash = "sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6"},
{file = "pydantic_core-2.23.4-cp39-none-win_amd64.whl", hash = "sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433"},
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8"},
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e"},
{file = "pydantic_core-2.23.4.tar.gz", hash = "sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863"},
]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pygments"
version = "2.18.0"
description = "Pygments is a syntax highlighting package written in Python."
optional = false
python-versions = ">=3.8"
files = [
{file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
{file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
]
[package.extras]
windows-terminal = ["colorama (>=0.4.6)"]
[[package]]
name = "pytest"
version = "7.4.4"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
{file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
iniconfig = "*"
packaging = "*"
pluggy = ">=0.12,<2.0"
tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
[package.extras]
testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "pytest-asyncio"
version = "0.21.2"
description = "Pytest support for asyncio"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
{file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
]
[package.dependencies]
pytest = ">=7.0.0"
[package.extras]
docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
[[package]]
name = "pytest-mock"
version = "3.14.0"
description = "Thin-wrapper around the mock package for easier use with pytest"
optional = false
python-versions = ">=3.8"
files = [
{file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
{file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
]
[package.dependencies]
pytest = ">=6.2.5"
[package.extras]
dev = ["pre-commit", "pytest-asyncio", "tox"]
[[package]]
name = "pytest-watcher"
version = "0.3.5"
description = "Automatically rerun your tests on file modifications"
optional = false
python-versions = ">=3.7.0,<4.0.0"
files = [
{file = "pytest_watcher-0.3.5-py3-none-any.whl", hash = "sha256:af00ca52c7be22dc34c0fd3d7ffef99057207a73b05dc5161fe3b2fe91f58130"},
{file = "pytest_watcher-0.3.5.tar.gz", hash = "sha256:8896152460ba2b1a8200c12117c6611008ec96c8b2d811f0a05ab8a82b043ff8"},
]
[package.dependencies]
tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version < \"3.11\""}
watchdog = ">=2.0.0"
[[package]]
name = "python-dateutil"
version = "2.9.0.post0"
description = "Extensions to the standard Python datetime module"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
{file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
{file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
]
[package.dependencies]
six = ">=1.5"
[[package]]
name = "pyyaml"
version = "6.0.2"
description = "YAML parser and emitter for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
{file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"},
{file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"},
{file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"},
{file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"},
{file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"},
{file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"},
{file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"},
{file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"},
{file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"},
{file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"},
{file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"},
{file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"},
{file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"},
{file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"},
{file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"},
{file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
]
[[package]]
name = "regex"
version = "2024.11.6"
description = "Alternative regular expression module, to replace re."
optional = false
python-versions = ">=3.8"
files = [
{file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"},
{file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"},
{file = "regex-2024.11.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:164d8b7b3b4bcb2068b97428060b2a53be050085ef94eca7f240e7947f1b080e"},
{file = "regex-2024.11.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3660c82f209655a06b587d55e723f0b813d3a7db2e32e5e7dc64ac2a9e86fde"},
{file = "regex-2024.11.6-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d22326fcdef5e08c154280b71163ced384b428343ae16a5ab2b3354aed12436e"},
{file = "regex-2024.11.6-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f1ac758ef6aebfc8943560194e9fd0fa18bcb34d89fd8bd2af18183afd8da3a2"},
{file = "regex-2024.11.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:997d6a487ff00807ba810e0f8332c18b4eb8d29463cfb7c820dc4b6e7562d0cf"},
{file = "regex-2024.11.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:02a02d2bb04fec86ad61f3ea7f49c015a0681bf76abb9857f945d26159d2968c"},
{file = "regex-2024.11.6-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f02f93b92358ee3f78660e43b4b0091229260c5d5c408d17d60bf26b6c900e86"},
{file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:06eb1be98df10e81ebaded73fcd51989dcf534e3c753466e4b60c4697a003b67"},
{file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:040df6fe1a5504eb0f04f048e6d09cd7c7110fef851d7c567a6b6e09942feb7d"},
{file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:fdabbfc59f2c6edba2a6622c647b716e34e8e3867e0ab975412c5c2f79b82da2"},
{file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:8447d2d39b5abe381419319f942de20b7ecd60ce86f16a23b0698f22e1b70008"},
{file = "regex-2024.11.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:da8f5fc57d1933de22a9e23eec290a0d8a5927a5370d24bda9a6abe50683fe62"},
{file = "regex-2024.11.6-cp310-cp310-win32.whl", hash = "sha256:b489578720afb782f6ccf2840920f3a32e31ba28a4b162e13900c3e6bd3f930e"},
{file = "regex-2024.11.6-cp310-cp310-win_amd64.whl", hash = "sha256:5071b2093e793357c9d8b2929dfc13ac5f0a6c650559503bb81189d0a3814519"},
{file = "regex-2024.11.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:5478c6962ad548b54a591778e93cd7c456a7a29f8eca9c49e4f9a806dcc5d638"},
{file = "regex-2024.11.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2c89a8cc122b25ce6945f0423dc1352cb9593c68abd19223eebbd4e56612c5b7"},
{file = "regex-2024.11.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:94d87b689cdd831934fa3ce16cc15cd65748e6d689f5d2b8f4f4df2065c9fa20"},
{file = "regex-2024.11.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1062b39a0a2b75a9c694f7a08e7183a80c63c0d62b301418ffd9c35f55aaa114"},
{file = "regex-2024.11.6-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:167ed4852351d8a750da48712c3930b031f6efdaa0f22fa1933716bfcd6bf4a3"},
{file = "regex-2024.11.6-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2d548dafee61f06ebdb584080621f3e0c23fff312f0de1afc776e2a2ba99a74f"},
{file = "regex-2024.11.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2a19f302cd1ce5dd01a9099aaa19cae6173306d1302a43b627f62e21cf18ac0"},
{file = "regex-2024.11.6-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bec9931dfb61ddd8ef2ebc05646293812cb6b16b60cf7c9511a832b6f1854b55"},
{file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:9714398225f299aa85267fd222f7142fcb5c769e73d7733344efc46f2ef5cf89"},
{file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:202eb32e89f60fc147a41e55cb086db2a3f8cb82f9a9a88440dcfc5d37faae8d"},
{file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:4181b814e56078e9b00427ca358ec44333765f5ca1b45597ec7446d3a1ef6e34"},
{file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:068376da5a7e4da51968ce4c122a7cd31afaaec4fccc7856c92f63876e57b51d"},
{file = "regex-2024.11.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ac10f2c4184420d881a3475fb2c6f4d95d53a8d50209a2500723d831036f7c45"},
{file = "regex-2024.11.6-cp311-cp311-win32.whl", hash = "sha256:c36f9b6f5f8649bb251a5f3f66564438977b7ef8386a52460ae77e6070d309d9"},
{file = "regex-2024.11.6-cp311-cp311-win_amd64.whl", hash = "sha256:02e28184be537f0e75c1f9b2f8847dc51e08e6e171c6bde130b2687e0c33cf60"},
{file = "regex-2024.11.6-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:52fb28f528778f184f870b7cf8f225f5eef0a8f6e3778529bdd40c7b3920796a"},
{file = "regex-2024.11.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:fdd6028445d2460f33136c55eeb1f601ab06d74cb3347132e1c24250187500d9"},
{file = "regex-2024.11.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:805e6b60c54bf766b251e94526ebad60b7de0c70f70a4e6210ee2891acb70bf2"},
{file = "regex-2024.11.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b85c2530be953a890eaffde05485238f07029600e8f098cdf1848d414a8b45e4"},
{file = "regex-2024.11.6-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bb26437975da7dc36b7efad18aa9dd4ea569d2357ae6b783bf1118dabd9ea577"},
{file = "regex-2024.11.6-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:abfa5080c374a76a251ba60683242bc17eeb2c9818d0d30117b4486be10c59d3"},
{file = "regex-2024.11.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b7fa6606c2881c1db9479b0eaa11ed5dfa11c8d60a474ff0e095099f39d98e"},
{file = "regex-2024.11.6-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0c32f75920cf99fe6b6c539c399a4a128452eaf1af27f39bce8909c9a3fd8cbe"},
{file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:982e6d21414e78e1f51cf595d7f321dcd14de1f2881c5dc6a6e23bbbbd68435e"},
{file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a7c2155f790e2fb448faed6dd241386719802296ec588a8b9051c1f5c481bc29"},
{file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:149f5008d286636e48cd0b1dd65018548944e495b0265b45e1bffecce1ef7f39"},
{file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:e5364a4502efca094731680e80009632ad6624084aff9a23ce8c8c6820de3e51"},
{file = "regex-2024.11.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0a86e7eeca091c09e021db8eb72d54751e527fa47b8d5787caf96d9831bd02ad"},
{file = "regex-2024.11.6-cp312-cp312-win32.whl", hash = "sha256:32f9a4c643baad4efa81d549c2aadefaeba12249b2adc5af541759237eee1c54"},
{file = "regex-2024.11.6-cp312-cp312-win_amd64.whl", hash = "sha256:a93c194e2df18f7d264092dc8539b8ffb86b45b899ab976aa15d48214138e81b"},
{file = "regex-2024.11.6-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a6ba92c0bcdf96cbf43a12c717eae4bc98325ca3730f6b130ffa2e3c3c723d84"},
{file = "regex-2024.11.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:525eab0b789891ac3be914d36893bdf972d483fe66551f79d3e27146191a37d4"},
{file = "regex-2024.11.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:086a27a0b4ca227941700e0b31425e7a28ef1ae8e5e05a33826e17e47fbfdba0"},
{file = "regex-2024.11.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bde01f35767c4a7899b7eb6e823b125a64de314a8ee9791367c9a34d56af18d0"},
{file = "regex-2024.11.6-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b583904576650166b3d920d2bcce13971f6f9e9a396c673187f49811b2769dc7"},
{file = "regex-2024.11.6-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1c4de13f06a0d54fa0d5ab1b7138bfa0d883220965a29616e3ea61b35d5f5fc7"},
{file = "regex-2024.11.6-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3cde6e9f2580eb1665965ce9bf17ff4952f34f5b126beb509fee8f4e994f143c"},
{file = "regex-2024.11.6-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0d7f453dca13f40a02b79636a339c5b62b670141e63efd511d3f8f73fba162b3"},
{file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:59dfe1ed21aea057a65c6b586afd2a945de04fc7db3de0a6e3ed5397ad491b07"},
{file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b97c1e0bd37c5cd7902e65f410779d39eeda155800b65fc4d04cc432efa9bc6e"},
{file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f9d1e379028e0fc2ae3654bac3cbbef81bf3fd571272a42d56c24007979bafb6"},
{file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:13291b39131e2d002a7940fb176e120bec5145f3aeb7621be6534e46251912c4"},
{file = "regex-2024.11.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4f51f88c126370dcec4908576c5a627220da6c09d0bff31cfa89f2523843316d"},
{file = "regex-2024.11.6-cp313-cp313-win32.whl", hash = "sha256:63b13cfd72e9601125027202cad74995ab26921d8cd935c25f09c630436348ff"},
{file = "regex-2024.11.6-cp313-cp313-win_amd64.whl", hash = "sha256:2b3361af3198667e99927da8b84c1b010752fa4b1115ee30beaa332cabc3ef1a"},
{file = "regex-2024.11.6-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:3a51ccc315653ba012774efca4f23d1d2a8a8f278a6072e29c7147eee7da446b"},
{file = "regex-2024.11.6-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ad182d02e40de7459b73155deb8996bbd8e96852267879396fb274e8700190e3"},
{file = "regex-2024.11.6-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ba9b72e5643641b7d41fa1f6d5abda2c9a263ae835b917348fc3c928182ad467"},
{file = "regex-2024.11.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40291b1b89ca6ad8d3f2b82782cc33807f1406cf68c8d440861da6304d8ffbbd"},
{file = "regex-2024.11.6-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cdf58d0e516ee426a48f7b2c03a332a4114420716d55769ff7108c37a09951bf"},
{file = "regex-2024.11.6-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a36fdf2af13c2b14738f6e973aba563623cb77d753bbbd8d414d18bfaa3105dd"},
{file = "regex-2024.11.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d1cee317bfc014c2419a76bcc87f071405e3966da434e03e13beb45f8aced1a6"},
{file = "regex-2024.11.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50153825ee016b91549962f970d6a4442fa106832e14c918acd1c8e479916c4f"},
{file = "regex-2024.11.6-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ea1bfda2f7162605f6e8178223576856b3d791109f15ea99a9f95c16a7636fb5"},
{file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:df951c5f4a1b1910f1a99ff42c473ff60f8225baa1cdd3539fe2819d9543e9df"},
{file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:072623554418a9911446278f16ecb398fb3b540147a7828c06e2011fa531e773"},
{file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:f654882311409afb1d780b940234208a252322c24a93b442ca714d119e68086c"},
{file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:89d75e7293d2b3e674db7d4d9b1bee7f8f3d1609428e293771d1a962617150cc"},
{file = "regex-2024.11.6-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:f65557897fc977a44ab205ea871b690adaef6b9da6afda4790a2484b04293a5f"},
{file = "regex-2024.11.6-cp38-cp38-win32.whl", hash = "sha256:6f44ec28b1f858c98d3036ad5d7d0bfc568bdd7a74f9c24e25f41ef1ebfd81a4"},
{file = "regex-2024.11.6-cp38-cp38-win_amd64.whl", hash = "sha256:bb8f74f2f10dbf13a0be8de623ba4f9491faf58c24064f32b65679b021ed0001"},
{file = "regex-2024.11.6-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5704e174f8ccab2026bd2f1ab6c510345ae8eac818b613d7d73e785f1310f839"},
{file = "regex-2024.11.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:220902c3c5cc6af55d4fe19ead504de80eb91f786dc102fbd74894b1551f095e"},
{file = "regex-2024.11.6-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5e7e351589da0850c125f1600a4c4ba3c722efefe16b297de54300f08d734fbf"},
{file = "regex-2024.11.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5056b185ca113c88e18223183aa1a50e66507769c9640a6ff75859619d73957b"},
{file = "regex-2024.11.6-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2e34b51b650b23ed3354b5a07aab37034d9f923db2a40519139af34f485f77d0"},
{file = "regex-2024.11.6-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5670bce7b200273eee1840ef307bfa07cda90b38ae56e9a6ebcc9f50da9c469b"},
{file = "regex-2024.11.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:08986dce1339bc932923e7d1232ce9881499a0e02925f7402fb7c982515419ef"},
{file = "regex-2024.11.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:93c0b12d3d3bc25af4ebbf38f9ee780a487e8bf6954c115b9f015822d3bb8e48"},
{file = "regex-2024.11.6-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:764e71f22ab3b305e7f4c21f1a97e1526a25ebdd22513e251cf376760213da13"},
{file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:f056bf21105c2515c32372bbc057f43eb02aae2fda61052e2f7622c801f0b4e2"},
{file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:69ab78f848845569401469da20df3e081e6b5a11cb086de3eed1d48f5ed57c95"},
{file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:86fddba590aad9208e2fa8b43b4c098bb0ec74f15718bb6a704e3c63e2cef3e9"},
{file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:684d7a212682996d21ca12ef3c17353c021fe9de6049e19ac8481ec35574a70f"},
{file = "regex-2024.11.6-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a03e02f48cd1abbd9f3b7e3586d97c8f7a9721c436f51a5245b3b9483044480b"},
{file = "regex-2024.11.6-cp39-cp39-win32.whl", hash = "sha256:41758407fc32d5c3c5de163888068cfee69cb4c2be844e7ac517a52770f9af57"},
{file = "regex-2024.11.6-cp39-cp39-win_amd64.whl", hash = "sha256:b2837718570f95dd41675328e111345f9b7095d821bac435aac173ac80b19983"},
{file = "regex-2024.11.6.tar.gz", hash = "sha256:7ab159b063c52a0333c884e4679f8d7a85112ee3078fe3d9004b2dd875585519"},
]
[[package]]
name = "requests"
version = "2.32.3"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
files = [
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
]
[package.dependencies]
certifi = ">=2017.4.17"
charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<3"
[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "requests-toolbelt"
version = "1.0.0"
description = "A utility belt for advanced users of python-requests"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
{file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
]
[package.dependencies]
requests = ">=2.0.1,<3.0.0"
[[package]]
name = "rich"
version = "13.9.4"
description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"},
{file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"},
]
[package.dependencies]
markdown-it-py = ">=2.2.0"
pygments = ">=2.13.0,<3.0.0"
typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
[package.extras]
jupyter = ["ipywidgets (>=7.5.1,<9)"]
[[package]]
name = "ruff"
version = "0.5.7"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
files = [
{file = "ruff-0.5.7-py3-none-linux_armv6l.whl", hash = "sha256:548992d342fc404ee2e15a242cdbea4f8e39a52f2e7752d0e4cbe88d2d2f416a"},
{file = "ruff-0.5.7-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:00cc8872331055ee017c4f1071a8a31ca0809ccc0657da1d154a1d2abac5c0be"},
{file = "ruff-0.5.7-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eaf3d86a1fdac1aec8a3417a63587d93f906c678bb9ed0b796da7b59c1114a1e"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a01c34400097b06cf8a6e61b35d6d456d5bd1ae6961542de18ec81eaf33b4cb8"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fcc8054f1a717e2213500edaddcf1dbb0abad40d98e1bd9d0ad364f75c763eea"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7f70284e73f36558ef51602254451e50dd6cc479f8b6f8413a95fcb5db4a55fc"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:a78ad870ae3c460394fc95437d43deb5c04b5c29297815a2a1de028903f19692"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9ccd078c66a8e419475174bfe60a69adb36ce04f8d4e91b006f1329d5cd44bcf"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7e31c9bad4ebf8fdb77b59cae75814440731060a09a0e0077d559a556453acbb"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d796327eed8e168164346b769dd9a27a70e0298d667b4ecee6877ce8095ec8e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:4a09ea2c3f7778cc635e7f6edf57d566a8ee8f485f3c4454db7771efb692c499"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:a36d8dcf55b3a3bc353270d544fb170d75d2dff41eba5df57b4e0b67a95bb64e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_i686.whl", hash = "sha256:9369c218f789eefbd1b8d82a8cf25017b523ac47d96b2f531eba73770971c9e5"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b88ca3db7eb377eb24fb7c82840546fb7acef75af4a74bd36e9ceb37a890257e"},
{file = "ruff-0.5.7-py3-none-win32.whl", hash = "sha256:33d61fc0e902198a3e55719f4be6b375b28f860b09c281e4bdbf783c0566576a"},
{file = "ruff-0.5.7-py3-none-win_amd64.whl", hash = "sha256:083bbcbe6fadb93cd86709037acc510f86eed5a314203079df174c40bbbca6b3"},
{file = "ruff-0.5.7-py3-none-win_arm64.whl", hash = "sha256:2dca26154ff9571995107221d0aeaad0e75a77b5a682d6236cf89a58c70b76f4"},
{file = "ruff-0.5.7.tar.gz", hash = "sha256:8dfc0a458797f5d9fb622dd0efc52d796f23f0a1493a9527f4e49a550ae9a7e5"},
]
[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]
[[package]]
name = "sniffio"
version = "1.3.1"
description = "Sniff out which async library your code is running under"
optional = false
python-versions = ">=3.7"
files = [
{file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
{file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
]
[[package]]
name = "syrupy"
version = "4.7.2"
description = "Pytest Snapshot Test Utility"
optional = false
python-versions = ">=3.8.1"
files = [
{file = "syrupy-4.7.2-py3-none-any.whl", hash = "sha256:eae7ba6be5aed190237caa93be288e97ca1eec5ca58760e4818972a10c4acc64"},
{file = "syrupy-4.7.2.tar.gz", hash = "sha256:ea45e099f242de1bb53018c238f408a5bb6c82007bc687aefcbeaa0e1c2e935a"},
]
[package.dependencies]
pytest = ">=7.0.0,<9.0.0"
[[package]]
name = "tenacity"
version = "9.0.0"
description = "Retry code until it succeeds"
optional = false
python-versions = ">=3.8"
files = [
{file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
{file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
]
[package.extras]
doc = ["reno", "sphinx"]
test = ["pytest", "tornado (>=4.5)", "typeguard"]
[[package]]
name = "tiktoken"
version = "0.8.0"
description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
optional = false
python-versions = ">=3.9"
files = [
{file = "tiktoken-0.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b07e33283463089c81ef1467180e3e00ab00d46c2c4bbcef0acab5f771d6695e"},
{file = "tiktoken-0.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9269348cb650726f44dd3bbb3f9110ac19a8dcc8f54949ad3ef652ca22a38e21"},
{file = "tiktoken-0.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25e13f37bc4ef2d012731e93e0fef21dc3b7aea5bb9009618de9a4026844e560"},
{file = "tiktoken-0.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f13d13c981511331eac0d01a59b5df7c0d4060a8be1e378672822213da51e0a2"},
{file = "tiktoken-0.8.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:6b2ddbc79a22621ce8b1166afa9f9a888a664a579350dc7c09346a3b5de837d9"},
{file = "tiktoken-0.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:d8c2d0e5ba6453a290b86cd65fc51fedf247e1ba170191715b049dac1f628005"},
{file = "tiktoken-0.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d622d8011e6d6f239297efa42a2657043aaed06c4f68833550cac9e9bc723ef1"},
{file = "tiktoken-0.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2efaf6199717b4485031b4d6edb94075e4d79177a172f38dd934d911b588d54a"},
{file = "tiktoken-0.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5637e425ce1fc49cf716d88df3092048359a4b3bbb7da762840426e937ada06d"},
{file = "tiktoken-0.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fb0e352d1dbe15aba082883058b3cce9e48d33101bdaac1eccf66424feb5b47"},
{file = "tiktoken-0.8.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:56edfefe896c8f10aba372ab5706b9e3558e78db39dd497c940b47bf228bc419"},
{file = "tiktoken-0.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:326624128590def898775b722ccc327e90b073714227175ea8febbc920ac0a99"},
{file = "tiktoken-0.8.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:881839cfeae051b3628d9823b2e56b5cc93a9e2efb435f4cf15f17dc45f21586"},
{file = "tiktoken-0.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:fe9399bdc3f29d428f16a2f86c3c8ec20be3eac5f53693ce4980371c3245729b"},
{file = "tiktoken-0.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9a58deb7075d5b69237a3ff4bb51a726670419db6ea62bdcd8bd80c78497d7ab"},
{file = "tiktoken-0.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2908c0d043a7d03ebd80347266b0e58440bdef5564f84f4d29fb235b5df3b04"},
{file = "tiktoken-0.8.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:294440d21a2a51e12d4238e68a5972095534fe9878be57d905c476017bff99fc"},
{file = "tiktoken-0.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:d8f3192733ac4d77977432947d563d7e1b310b96497acd3c196c9bddb36ed9db"},
{file = "tiktoken-0.8.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:02be1666096aff7da6cbd7cdaa8e7917bfed3467cd64b38b1f112e96d3b06a24"},
{file = "tiktoken-0.8.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c94ff53c5c74b535b2cbf431d907fc13c678bbd009ee633a2aca269a04389f9a"},
{file = "tiktoken-0.8.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b231f5e8982c245ee3065cd84a4712d64692348bc609d84467c57b4b72dcbc5"},
{file = "tiktoken-0.8.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4177faa809bd55f699e88c96d9bb4635d22e3f59d635ba6fd9ffedf7150b9953"},
{file = "tiktoken-0.8.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5376b6f8dc4753cd81ead935c5f518fa0fbe7e133d9e25f648d8c4dabdd4bad7"},
{file = "tiktoken-0.8.0-cp313-cp313-win_amd64.whl", hash = "sha256:18228d624807d66c87acd8f25fc135665617cab220671eb65b50f5d70fa51f69"},
{file = "tiktoken-0.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7e17807445f0cf1f25771c9d86496bd8b5c376f7419912519699f3cc4dc5c12e"},
{file = "tiktoken-0.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:886f80bd339578bbdba6ed6d0567a0d5c6cfe198d9e587ba6c447654c65b8edc"},
{file = "tiktoken-0.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6adc8323016d7758d6de7313527f755b0fc6c72985b7d9291be5d96d73ecd1e1"},
{file = "tiktoken-0.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b591fb2b30d6a72121a80be24ec7a0e9eb51c5500ddc7e4c2496516dd5e3816b"},
{file = "tiktoken-0.8.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:845287b9798e476b4d762c3ebda5102be87ca26e5d2c9854002825d60cdb815d"},
{file = "tiktoken-0.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:1473cfe584252dc3fa62adceb5b1c763c1874e04511b197da4e6de51d6ce5a02"},
{file = "tiktoken-0.8.0.tar.gz", hash = "sha256:9ccbb2740f24542534369c5635cfd9b2b3c2490754a78ac8831d99f89f94eeb2"},
]
[package.dependencies]
regex = ">=2022.1.18"
requests = ">=2.26.0"
[package.extras]
blobfile = ["blobfile (>=2)"]
[[package]]
name = "tomli"
version = "2.1.0"
description = "A lil' TOML parser"
optional = false
python-versions = ">=3.8"
files = [
{file = "tomli-2.1.0-py3-none-any.whl", hash = "sha256:a5c57c3d1c56f5ccdf89f6523458f60ef716e210fc47c4cfb188c5ba473e0391"},
{file = "tomli-2.1.0.tar.gz", hash = "sha256:3f646cae2aec94e17d04973e4249548320197cfabdf130015d023de4b74d8ab8"},
]
[[package]]
name = "tqdm"
version = "4.67.0"
description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
files = [
{file = "tqdm-4.67.0-py3-none-any.whl", hash = "sha256:0cd8af9d56911acab92182e88d763100d4788bdf421d251616040cc4d44863be"},
{file = "tqdm-4.67.0.tar.gz", hash = "sha256:fe5a6f95e6fe0b9755e9469b77b9c3cf850048224ecaa8293d7d2d31f97d869a"},
]
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
discord = ["requests"]
notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
name = "types-requests"
version = "2.32.0.20241016"
description = "Typing stubs for requests"
optional = false
python-versions = ">=3.8"
files = [
{file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
{file = "types_requests-2.32.0.20241016-py3-none-any.whl", hash = "sha256:4195d62d6d3e043a4eaaf08ff8a62184584d2e8684e9d2aa178c7915a7da3747"},
]
[package.dependencies]
urllib3 = ">=2"
[[package]]
name = "typing-extensions"
version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[[package]]
name = "typing-inspect"
version = "0.9.0"
description = "Runtime inspection utilities for typing module."
optional = false
python-versions = "*"
files = [
{file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
{file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
]
[package.dependencies]
mypy-extensions = ">=0.3.0"
typing-extensions = ">=3.7.4"
[[package]]
name = "urllib3"
version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
{file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
{file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
]
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "watchdog"
version = "6.0.0"
description = "Filesystem events monitoring"
optional = false
python-versions = ">=3.9"
files = [
{file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"},
{file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"},
{file = "watchdog-6.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c897ac1b55c5a1461e16dae288d22bb2e412ba9807df8397a635d88f671d36c3"},
{file = "watchdog-6.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6eb11feb5a0d452ee41f824e271ca311a09e250441c262ca2fd7ebcf2461a06c"},
{file = "watchdog-6.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ef810fbf7b781a5a593894e4f439773830bdecb885e6880d957d5b9382a960d2"},
{file = "watchdog-6.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:afd0fe1b2270917c5e23c2a65ce50c2a4abb63daafb0d419fde368e272a76b7c"},
{file = "watchdog-6.0.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:bdd4e6f14b8b18c334febb9c4425a878a2ac20efd1e0b231978e7b150f92a948"},
{file = "watchdog-6.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c7c15dda13c4eb00d6fb6fc508b3c0ed88b9d5d374056b239c4ad1611125c860"},
{file = "watchdog-6.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6f10cb2d5902447c7d0da897e2c6768bca89174d0c6e1e30abec5421af97a5b0"},
{file = "watchdog-6.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:490ab2ef84f11129844c23fb14ecf30ef3d8a6abafd3754a6f75ca1e6654136c"},
{file = "watchdog-6.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:76aae96b00ae814b181bb25b1b98076d5fc84e8a53cd8885a318b42b6d3a5134"},
{file = "watchdog-6.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a175f755fc2279e0b7312c0035d52e27211a5bc39719dd529625b1930917345b"},
{file = "watchdog-6.0.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e6f0e77c9417e7cd62af82529b10563db3423625c5fce018430b249bf977f9e8"},
{file = "watchdog-6.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:90c8e78f3b94014f7aaae121e6b909674df5b46ec24d6bebc45c44c56729af2a"},
{file = "watchdog-6.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e7631a77ffb1f7d2eefa4445ebbee491c720a5661ddf6df3498ebecae5ed375c"},
{file = "watchdog-6.0.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c7ac31a19f4545dd92fc25d200694098f42c9a8e391bc00bdd362c5736dbf881"},
{file = "watchdog-6.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9513f27a1a582d9808cf21a07dae516f0fab1cf2d7683a742c498b93eedabb11"},
{file = "watchdog-6.0.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7a0e56874cfbc4b9b05c60c8a1926fedf56324bb08cfbc188969777940aef3aa"},
{file = "watchdog-6.0.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:e6439e374fc012255b4ec786ae3c4bc838cd7309a540e5fe0952d03687d8804e"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7607498efa04a3542ae3e05e64da8202e58159aa1fa4acddf7678d34a35d4f13"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:9041567ee8953024c83343288ccc458fd0a2d811d6a0fd68c4c22609e3490379"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:82dc3e3143c7e38ec49d61af98d6558288c415eac98486a5c581726e0737c00e"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:212ac9b8bf1161dc91bd09c048048a95ca3a4c4f5e5d4a7d1b1a7d5752a7f96f"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:e3df4cbb9a450c6d49318f6d14f4bbc80d763fa587ba46ec86f99f9e6876bb26"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:2cce7cfc2008eb51feb6aab51251fd79b85d9894e98ba847408f662b3395ca3c"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2"},
{file = "watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a"},
{file = "watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680"},
{file = "watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f"},
{file = "watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282"},
]
[package.extras]
watchmedo = ["PyYAML (>=3.10)"]
[[package]]
name = "yarl"
version = "1.17.1"
description = "Yet another URL library"
optional = false
python-versions = ">=3.9"
files = [
{file = "yarl-1.17.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b1794853124e2f663f0ea54efb0340b457f08d40a1cef78edfa086576179c91"},
{file = "yarl-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fbea1751729afe607d84acfd01efd95e3b31db148a181a441984ce9b3d3469da"},
{file = "yarl-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8ee427208c675f1b6e344a1f89376a9613fc30b52646a04ac0c1f6587c7e46ec"},
{file = "yarl-1.17.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b74ff4767d3ef47ffe0cd1d89379dc4d828d4873e5528976ced3b44fe5b0a21"},
{file = "yarl-1.17.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:62a91aefff3d11bf60e5956d340eb507a983a7ec802b19072bb989ce120cd948"},
{file = "yarl-1.17.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:846dd2e1243407133d3195d2d7e4ceefcaa5f5bf7278f0a9bda00967e6326b04"},
{file = "yarl-1.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e844be8d536afa129366d9af76ed7cb8dfefec99f5f1c9e4f8ae542279a6dc3"},
{file = "yarl-1.17.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cc7c92c1baa629cb03ecb0c3d12564f172218fb1739f54bf5f3881844daadc6d"},
{file = "yarl-1.17.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ae3476e934b9d714aa8000d2e4c01eb2590eee10b9d8cd03e7983ad65dfbfcba"},
{file = "yarl-1.17.1-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:c7e177c619342e407415d4f35dec63d2d134d951e24b5166afcdfd1362828e17"},
{file = "yarl-1.17.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:64cc6e97f14cf8a275d79c5002281f3040c12e2e4220623b5759ea7f9868d6a5"},
{file = "yarl-1.17.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:84c063af19ef5130084db70ada40ce63a84f6c1ef4d3dbc34e5e8c4febb20822"},
{file = "yarl-1.17.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:482c122b72e3c5ec98f11457aeb436ae4aecca75de19b3d1de7cf88bc40db82f"},
{file = "yarl-1.17.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:380e6c38ef692b8fd5a0f6d1fa8774d81ebc08cfbd624b1bca62a4d4af2f9931"},
{file = "yarl-1.17.1-cp310-cp310-win32.whl", hash = "sha256:16bca6678a83657dd48df84b51bd56a6c6bd401853aef6d09dc2506a78484c7b"},
{file = "yarl-1.17.1-cp310-cp310-win_amd64.whl", hash = "sha256:561c87fea99545ef7d692403c110b2f99dced6dff93056d6e04384ad3bc46243"},
{file = "yarl-1.17.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:cbad927ea8ed814622305d842c93412cb47bd39a496ed0f96bfd42b922b4a217"},
{file = "yarl-1.17.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fca4b4307ebe9c3ec77a084da3a9d1999d164693d16492ca2b64594340999988"},
{file = "yarl-1.17.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ff5c6771c7e3511a06555afa317879b7db8d640137ba55d6ab0d0c50425cab75"},
{file = "yarl-1.17.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b29beab10211a746f9846baa39275e80034e065460d99eb51e45c9a9495bcca"},
{file = "yarl-1.17.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1a52a1ffdd824fb1835272e125385c32fd8b17fbdefeedcb4d543cc23b332d74"},
{file = "yarl-1.17.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:58c8e9620eb82a189c6c40cb6b59b4e35b2ee68b1f2afa6597732a2b467d7e8f"},
{file = "yarl-1.17.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d216e5d9b8749563c7f2c6f7a0831057ec844c68b4c11cb10fc62d4fd373c26d"},
{file = "yarl-1.17.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:881764d610e3269964fc4bb3c19bb6fce55422828e152b885609ec176b41cf11"},
{file = "yarl-1.17.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8c79e9d7e3d8a32d4824250a9c6401194fb4c2ad9a0cec8f6a96e09a582c2cc0"},
{file = "yarl-1.17.1-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:299f11b44d8d3a588234adbe01112126010bd96d9139c3ba7b3badd9829261c3"},
{file = "yarl-1.17.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:cc7d768260f4ba4ea01741c1b5fe3d3a6c70eb91c87f4c8761bbcce5181beafe"},
{file = "yarl-1.17.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:de599af166970d6a61accde358ec9ded821234cbbc8c6413acfec06056b8e860"},
{file = "yarl-1.17.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:2b24ec55fad43e476905eceaf14f41f6478780b870eda5d08b4d6de9a60b65b4"},
{file = "yarl-1.17.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9fb815155aac6bfa8d86184079652c9715c812d506b22cfa369196ef4e99d1b4"},
{file = "yarl-1.17.1-cp311-cp311-win32.whl", hash = "sha256:7615058aabad54416ddac99ade09a5510cf77039a3b903e94e8922f25ed203d7"},
{file = "yarl-1.17.1-cp311-cp311-win_amd64.whl", hash = "sha256:14bc88baa44e1f84164a392827b5defb4fa8e56b93fecac3d15315e7c8e5d8b3"},
{file = "yarl-1.17.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:327828786da2006085a4d1feb2594de6f6d26f8af48b81eb1ae950c788d97f61"},
{file = "yarl-1.17.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:cc353841428d56b683a123a813e6a686e07026d6b1c5757970a877195f880c2d"},
{file = "yarl-1.17.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c73df5b6e8fabe2ddb74876fb82d9dd44cbace0ca12e8861ce9155ad3c886139"},
{file = "yarl-1.17.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0bdff5e0995522706c53078f531fb586f56de9c4c81c243865dd5c66c132c3b5"},
{file = "yarl-1.17.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:06157fb3c58f2736a5e47c8fcbe1afc8b5de6fb28b14d25574af9e62150fcaac"},
{file = "yarl-1.17.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1654ec814b18be1af2c857aa9000de7a601400bd4c9ca24629b18486c2e35463"},
{file = "yarl-1.17.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f6595c852ca544aaeeb32d357e62c9c780eac69dcd34e40cae7b55bc4fb1147"},
{file = "yarl-1.17.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:459e81c2fb920b5f5df744262d1498ec2c8081acdcfe18181da44c50f51312f7"},
{file = "yarl-1.17.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7e48cdb8226644e2fbd0bdb0a0f87906a3db07087f4de77a1b1b1ccfd9e93685"},
{file = "yarl-1.17.1-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:d9b6b28a57feb51605d6ae5e61a9044a31742db557a3b851a74c13bc61de5172"},
{file = "yarl-1.17.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e594b22688d5747b06e957f1ef822060cb5cb35b493066e33ceac0cf882188b7"},
{file = "yarl-1.17.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:5f236cb5999ccd23a0ab1bd219cfe0ee3e1c1b65aaf6dd3320e972f7ec3a39da"},
{file = "yarl-1.17.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:a2a64e62c7a0edd07c1c917b0586655f3362d2c2d37d474db1a509efb96fea1c"},
{file = "yarl-1.17.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d0eea830b591dbc68e030c86a9569826145df485b2b4554874b07fea1275a199"},
{file = "yarl-1.17.1-cp312-cp312-win32.whl", hash = "sha256:46ddf6e0b975cd680eb83318aa1d321cb2bf8d288d50f1754526230fcf59ba96"},
{file = "yarl-1.17.1-cp312-cp312-win_amd64.whl", hash = "sha256:117ed8b3732528a1e41af3aa6d4e08483c2f0f2e3d3d7dca7cf538b3516d93df"},
{file = "yarl-1.17.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:5d1d42556b063d579cae59e37a38c61f4402b47d70c29f0ef15cee1acaa64488"},
{file = "yarl-1.17.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:c0167540094838ee9093ef6cc2c69d0074bbf84a432b4995835e8e5a0d984374"},
{file = "yarl-1.17.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2f0a6423295a0d282d00e8701fe763eeefba8037e984ad5de44aa349002562ac"},
{file = "yarl-1.17.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5b078134f48552c4d9527db2f7da0b5359abd49393cdf9794017baec7506170"},
{file = "yarl-1.17.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d401f07261dc5aa36c2e4efc308548f6ae943bfff20fcadb0a07517a26b196d8"},
{file = "yarl-1.17.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b5f1ac7359e17efe0b6e5fec21de34145caef22b260e978336f325d5c84e6938"},
{file = "yarl-1.17.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f63d176a81555984e91f2c84c2a574a61cab7111cc907e176f0f01538e9ff6e"},
{file = "yarl-1.17.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9e275792097c9f7e80741c36de3b61917aebecc08a67ae62899b074566ff8556"},
{file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:81713b70bea5c1386dc2f32a8f0dab4148a2928c7495c808c541ee0aae614d67"},
{file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:aa46dce75078fceaf7cecac5817422febb4355fbdda440db55206e3bd288cfb8"},
{file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:1ce36ded585f45b1e9bb36d0ae94765c6608b43bd2e7f5f88079f7a85c61a4d3"},
{file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:2d374d70fdc36f5863b84e54775452f68639bc862918602d028f89310a034ab0"},
{file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:2d9f0606baaec5dd54cb99667fcf85183a7477f3766fbddbe3f385e7fc253299"},
{file = "yarl-1.17.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b0341e6d9a0c0e3cdc65857ef518bb05b410dbd70d749a0d33ac0f39e81a4258"},
{file = "yarl-1.17.1-cp313-cp313-win32.whl", hash = "sha256:2e7ba4c9377e48fb7b20dedbd473cbcbc13e72e1826917c185157a137dac9df2"},
{file = "yarl-1.17.1-cp313-cp313-win_amd64.whl", hash = "sha256:949681f68e0e3c25377462be4b658500e85ca24323d9619fdc41f68d46a1ffda"},
{file = "yarl-1.17.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8994b29c462de9a8fce2d591028b986dbbe1b32f3ad600b2d3e1c482c93abad6"},
{file = "yarl-1.17.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f9cbfbc5faca235fbdf531b93aa0f9f005ec7d267d9d738761a4d42b744ea159"},
{file = "yarl-1.17.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b40d1bf6e6f74f7c0a567a9e5e778bbd4699d1d3d2c0fe46f4b717eef9e96b95"},
{file = "yarl-1.17.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f5efe0661b9fcd6246f27957f6ae1c0eb29bc60552820f01e970b4996e016004"},
{file = "yarl-1.17.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b5c4804e4039f487e942c13381e6c27b4b4e66066d94ef1fae3f6ba8b953f383"},
{file = "yarl-1.17.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b5d6a6c9602fd4598fa07e0389e19fe199ae96449008d8304bf5d47cb745462e"},
{file = "yarl-1.17.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f4c9156c4d1eb490fe374fb294deeb7bc7eaccda50e23775b2354b6a6739934"},
{file = "yarl-1.17.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6324274b4e0e2fa1b3eccb25997b1c9ed134ff61d296448ab8269f5ac068c4c"},
{file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:d8a8b74d843c2638f3864a17d97a4acda58e40d3e44b6303b8cc3d3c44ae2d29"},
{file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:7fac95714b09da9278a0b52e492466f773cfe37651cf467a83a1b659be24bf71"},
{file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:c180ac742a083e109c1a18151f4dd8675f32679985a1c750d2ff806796165b55"},
{file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:578d00c9b7fccfa1745a44f4eddfdc99d723d157dad26764538fbdda37209857"},
{file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:1a3b91c44efa29e6c8ef8a9a2b583347998e2ba52c5d8280dbd5919c02dfc3b5"},
{file = "yarl-1.17.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a7ac5b4984c468ce4f4a553df281450df0a34aefae02e58d77a0847be8d1e11f"},
{file = "yarl-1.17.1-cp39-cp39-win32.whl", hash = "sha256:7294e38f9aa2e9f05f765b28ffdc5d81378508ce6dadbe93f6d464a8c9594473"},
{file = "yarl-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:eb6dce402734575e1a8cc0bb1509afca508a400a57ce13d306ea2c663bad1138"},
{file = "yarl-1.17.1-py3-none-any.whl", hash = "sha256:f1790a4b1e8e8e028c391175433b9c8122c39b46e1663228158e61e6f915bf06"},
{file = "yarl-1.17.1.tar.gz", hash = "sha256:067a63fcfda82da6b198fa73079b1ca40b7c9b7994995b6ee38acda728b64d47"},
]
[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
propcache = ">=0.2.0"
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "df184c08b8561a31c587e9fd643cd80fa9b9fee422dfe73e0243bafe6e0e6964"
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/xai/README.md | # langchain-xai
This package contains the LangChain integrations for [xAI](https://x.ai/) through their [APIs](https://console.x.ai).
## Installation and Setup
- Install the LangChain partner package
```bash
pip install -U langchain-xai
```
- Get your xAI api key from the [xAI Dashboard](https://console.x.ai) and set it as an environment variable (`XAI_API_KEY`)
## Chat Completions
This package contains the `ChatXAI` class, which is the recommended way to interface with xAI chat models.
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/xai/pyproject.toml | [build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-xai"
version = "0.1.0"
description = "An integration package connecting xAI and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.mypy]
disallow_untyped_defs = "True"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/xai"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-xai%3D%3D0%22&expanded=true"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-openai = ">=0.2,<0.3"
langchain-core = ">=0.3.18,<0.4"
requests = ">=2,<3"
aiohttp = ">=3.9.1,<4"
[tool.ruff.lint]
select = ["E", "F", "I", "D"]
[tool.coverage.run]
omit = ["tests/*"]
[tool.pytest.ini_options]
addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5"
markers = [
"requires: mark tests as requiring a specific library",
"asyncio: mark tests as requiring asyncio",
"compile: mark placeholder test used to compile integration tests without running them",
]
asyncio_mode = "auto"
[tool.poetry.group.test]
optional = true
[tool.poetry.group.codespell]
optional = true
[tool.poetry.group.test_integration]
optional = true
[tool.poetry.group.lint]
optional = true
[tool.poetry.group.typing]
optional = true
[tool.poetry.group.dev]
optional = true
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.lint.per-file-ignores]
"tests/**" = ["D"]
[tool.poetry.group.test.dependencies]
pytest = "^7.3.0"
freezegun = "^1.2.2"
pytest-mock = "^3.10.0"
syrupy = "^4.0.2"
pytest-watcher = "^0.3.4"
pytest-asyncio = "^0.21.1"
docarray = "^0.32.1"
langchain-openai = { path = "../openai", develop = true }
langchain-core = { path = "../../core", develop = true }
langchain-tests = { path = "../../standard-tests", develop = true }
[tool.poetry.group.codespell.dependencies]
codespell = "^2.2.0"
[tool.poetry.group.test_integration.dependencies]
[[tool.poetry.group.test_integration.dependencies.numpy]]
version = "^1"
python = "<3.12"
[[tool.poetry.group.test_integration.dependencies.numpy]]
version = "^1.26.0"
python = ">=3.12"
[tool.poetry.group.lint.dependencies]
ruff = "^0.5"
[tool.poetry.group.typing.dependencies]
mypy = "^1.10"
types-requests = "^2"
langchain-core = { path = "../../core", develop = true }
[tool.poetry.group.dev.dependencies]
langchain-core = { path = "../../core", develop = true }
|
0 | lc_public_repos/langchain/libs/partners/xai | lc_public_repos/langchain/libs/partners/xai/langchain_xai/chat_models.py | """Wrapper around xAI's Chat Completions API."""
from typing import (
Any,
Dict,
List,
Optional,
)
import openai
from langchain_core.language_models.chat_models import LangSmithParams
from langchain_core.utils import secret_from_env
from langchain_openai.chat_models.base import BaseChatOpenAI
from pydantic import ConfigDict, Field, SecretStr, model_validator
from typing_extensions import Self
class ChatXAI(BaseChatOpenAI): # type: ignore[override]
r"""ChatXAI chat model.
Setup:
Install ``langchain-xai`` and set environment variable ``XAI_API_KEY``.
.. code-block:: bash
pip install -U langchain-xai
export XAI_API_KEY="your-api-key"
Key init args — completion params:
model: str
Name of model to use.
temperature: float
Sampling temperature.
max_tokens: Optional[int]
Max number of tokens to generate.
logprobs: Optional[bool]
Whether to return logprobs.
Key init args — client params:
timeout: Union[float, Tuple[float, float], Any, None]
Timeout for requests.
max_retries: int
Max number of retries.
api_key: Optional[str]
xAI API key. If not passed in will be read from env var `XAI_API_KEY`.
Instantiate:
.. code-block:: python
from langchain_xai import ChatXAI
llm = ChatXAI(
model="grok-beta",
temperature=0,
max_tokens=None,
timeout=None,
max_retries=2,
# api_key="...",
# other params...
)
Invoke:
.. code-block:: python
messages = [
(
"system",
"You are a helpful translator. Translate the user sentence to French.",
),
("human", "I love programming."),
]
llm.invoke(messages)
.. code-block:: python
AIMessage(
content="J'adore la programmation.",
response_metadata={
'token_usage': {'completion_tokens': 9, 'prompt_tokens': 32, 'total_tokens': 41},
'model_name': 'grok-beta',
'system_fingerprint': None,
'finish_reason': 'stop',
'logprobs': None
},
id='run-168dceca-3b8b-4283-94e3-4c739dbc1525-0',
usage_metadata={'input_tokens': 32, 'output_tokens': 9, 'total_tokens': 41})
Stream:
.. code-block:: python
for chunk in llm.stream(messages):
print(chunk)
.. code-block:: python
content='J' id='run-1bc996b5-293f-4114-96a1-e0f755c05eb9'
content="'" id='run-1bc996b5-293f-4114-96a1-e0f755c05eb9'
content='ad' id='run-1bc996b5-293f-4114-96a1-e0f755c05eb9'
content='ore' id='run-1bc996b5-293f-4114-96a1-e0f755c05eb9'
content=' la' id='run-1bc996b5-293f-4114-96a1-e0f755c05eb9'
content=' programm' id='run-1bc996b5-293f-4114-96a1-e0f755c05eb9'
content='ation' id='run-1bc996b5-293f-4114-96a1-e0f755c05eb9'
content='.' id='run-1bc996b5-293f-4114-96a1-e0f755c05eb9'
content='' response_metadata={'finish_reason': 'stop', 'model_name': 'grok-beta'} id='run-1bc996b5-293f-4114-96a1-e0f755c05eb9'
Async:
.. code-block:: python
await llm.ainvoke(messages)
# stream:
# async for chunk in (await llm.astream(messages))
# batch:
# await llm.abatch([messages])
.. code-block:: python
AIMessage(
content="J'adore la programmation.",
response_metadata={
'token_usage': {'completion_tokens': 9, 'prompt_tokens': 32, 'total_tokens': 41},
'model_name': 'grok-beta',
'system_fingerprint': None,
'finish_reason': 'stop',
'logprobs': None
},
id='run-09371a11-7f72-4c53-8e7c-9de5c238b34c-0',
usage_metadata={'input_tokens': 32, 'output_tokens': 9, 'total_tokens': 41})
Tool calling:
.. code-block:: python
from pydantic import BaseModel, Field
llm = ChatXAI(model="grok-beta")
class GetWeather(BaseModel):
'''Get the current weather in a given location'''
location: str = Field(
..., description="The city and state, e.g. San Francisco, CA"
)
class GetPopulation(BaseModel):
'''Get the current population in a given location'''
location: str = Field(
..., description="The city and state, e.g. San Francisco, CA"
)
llm_with_tools = llm.bind_tools([GetWeather, GetPopulation])
ai_msg = llm_with_tools.invoke(
"Which city is bigger: LA or NY?"
)
ai_msg.tool_calls
.. code-block:: python
[
{
'name': 'GetPopulation',
'args': {'location': 'NY'},
'id': 'call_m5tstyn2004pre9bfuxvom8x',
'type': 'tool_call'
},
{
'name': 'GetPopulation',
'args': {'location': 'LA'},
'id': 'call_0vjgq455gq1av5sp9eb1pw6a',
'type': 'tool_call'
}
]
Structured output:
.. code-block:: python
from typing import Optional
from pydantic import BaseModel, Field
class Joke(BaseModel):
'''Joke to tell user.'''
setup: str = Field(description="The setup of the joke")
punchline: str = Field(description="The punchline to the joke")
rating: Optional[int] = Field(description="How funny the joke is, from 1 to 10")
structured_llm = llm.with_structured_output(Joke)
structured_llm.invoke("Tell me a joke about cats")
.. code-block:: python
Joke(
setup='Why was the cat sitting on the computer?',
punchline='To keep an eye on the mouse!',
rating=7
)
Token usage:
.. code-block:: python
ai_msg = llm.invoke(messages)
ai_msg.usage_metadata
.. code-block:: python
{'input_tokens': 37, 'output_tokens': 6, 'total_tokens': 43}
Logprobs:
.. code-block:: python
logprobs_llm = llm.bind(logprobs=True)
messages=[("human","Say Hello World! Do not return anything else.")]
ai_msg = logprobs_llm.invoke(messages)
ai_msg.response_metadata["logprobs"]
.. code-block:: python
{
'content': None,
'token_ids': [22557, 3304, 28808, 2],
'tokens': [' Hello', ' World', '!', '</s>'],
'token_logprobs': [-4.7683716e-06, -5.9604645e-07, 0, -0.057373047]
}
Response metadata
.. code-block:: python
ai_msg = llm.invoke(messages)
ai_msg.response_metadata
.. code-block:: python
{
'token_usage': {
'completion_tokens': 4,
'prompt_tokens': 19,
'total_tokens': 23
},
'model_name': 'grok-beta',
'system_fingerprint': None,
'finish_reason': 'stop',
'logprobs': None
}
""" # noqa: E501
model_name: str = Field(alias="model")
"""Model name to use."""
xai_api_key: Optional[SecretStr] = Field(
alias="api_key",
default_factory=secret_from_env("XAI_API_KEY", default=None),
)
"""xAI API key.
Automatically read from env variable `XAI_API_KEY` if not provided.
"""
xai_api_base: str = Field(default="https://api.x.ai/v1/")
"""Base URL path for API requests."""
openai_api_key: Optional[SecretStr] = None
openai_api_base: Optional[str] = None
model_config = ConfigDict(
populate_by_name=True,
)
@property
def lc_secrets(self) -> Dict[str, str]:
"""A map of constructor argument names to secret ids.
For example,
{"xai_api_key": "XAI_API_KEY"}
"""
return {"xai_api_key": "XAI_API_KEY"}
@classmethod
def get_lc_namespace(cls) -> List[str]:
"""Get the namespace of the langchain object."""
return ["langchain_xai", "chat_models"]
@property
def lc_attributes(self) -> Dict[str, Any]:
"""List of attribute names that should be included in the serialized kwargs.
These attributes must be accepted by the constructor.
"""
attributes: Dict[str, Any] = {}
if self.xai_api_base:
attributes["xai_api_base"] = self.xai_api_base
return attributes
@classmethod
def is_lc_serializable(cls) -> bool:
"""Return whether this model can be serialized by Langchain."""
return True
@property
def _llm_type(self) -> str:
"""Return type of chat model."""
return "xai-chat"
def _get_ls_params(
self, stop: Optional[List[str]] = None, **kwargs: Any
) -> LangSmithParams:
"""Get the parameters used to invoke the model."""
params = super()._get_ls_params(stop=stop, **kwargs)
params["ls_provider"] = "xai"
return params
@model_validator(mode="after")
def validate_environment(self) -> Self:
"""Validate that api key and python package exists in environment."""
if self.n < 1:
raise ValueError("n must be at least 1.")
if self.n > 1 and self.streaming:
raise ValueError("n must be 1 when streaming.")
client_params: dict = {
"api_key": (
self.xai_api_key.get_secret_value() if self.xai_api_key else None
),
"base_url": self.xai_api_base,
"timeout": self.request_timeout,
"max_retries": self.max_retries,
"default_headers": self.default_headers,
"default_query": self.default_query,
}
if client_params["api_key"] is None:
raise ValueError(
"xAI API key is not set. Please set it in the `xai_api_key` field or "
"in the `XAI_API_KEY` environment variable."
)
if not (self.client or None):
sync_specific: dict = {"http_client": self.http_client}
self.client = openai.OpenAI(
**client_params, **sync_specific
).chat.completions
if not (self.async_client or None):
async_specific: dict = {"http_client": self.http_async_client}
self.async_client = openai.AsyncOpenAI(
**client_params, **async_specific
).chat.completions
return self
|
0 | lc_public_repos/langchain/libs/partners/xai | lc_public_repos/langchain/libs/partners/xai/langchain_xai/__init__.py | """This package provides the xAI integration for LangChain."""
from langchain_xai.chat_models import ChatXAI
__all__ = ["ChatXAI"]
|
0 | lc_public_repos/langchain/libs/partners/xai/tests | lc_public_repos/langchain/libs/partners/xai/tests/integration_tests/test_compile.py | import pytest # type: ignore[import-not-found]
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
|
0 | lc_public_repos/langchain/libs/partners/xai/tests | lc_public_repos/langchain/libs/partners/xai/tests/integration_tests/test_chat_models_standard.py | """Standard LangChain interface tests"""
from typing import Optional, Type
import pytest # type: ignore[import-not-found]
from langchain_core.language_models import BaseChatModel
from langchain_core.rate_limiters import InMemoryRateLimiter
from langchain_tests.integration_tests import ( # type: ignore[import-not-found]
ChatModelIntegrationTests, # type: ignore[import-not-found]
)
from langchain_xai import ChatXAI
# Initialize the rate limiter in global scope, so it can be re-used
# across tests.
rate_limiter = InMemoryRateLimiter(
requests_per_second=0.5,
)
class TestXAIStandard(ChatModelIntegrationTests):
@property
def chat_model_class(self) -> Type[BaseChatModel]:
return ChatXAI
@property
def chat_model_params(self) -> dict:
return {
"model": "grok-beta",
"rate_limiter": rate_limiter,
}
@property
def tool_choice_value(self) -> Optional[str]:
"""Value to use for tool choice when used in tests."""
return "tool_name"
@pytest.mark.xfail(reason="Not yet supported.")
def test_usage_metadata_streaming(self, model: BaseChatModel) -> None:
super().test_usage_metadata_streaming(model)
@pytest.mark.xfail(reason="Can't handle AIMessage with empty content.")
def test_tool_message_error_status(self, model: BaseChatModel) -> None:
super().test_tool_message_error_status(model)
@pytest.mark.xfail(reason="Can't handle AIMessage with empty content.")
def test_structured_few_shot_examples(self, model: BaseChatModel) -> None:
super().test_structured_few_shot_examples(model)
@pytest.mark.xfail(reason="Can't handle AIMessage with empty content.")
def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None:
super().test_tool_message_histories_string_content(model)
|
0 | lc_public_repos/langchain/libs/partners/xai/tests | lc_public_repos/langchain/libs/partners/xai/tests/unit_tests/test_secrets.py | from langchain_xai import ChatXAI
def test_chat_xai_secrets() -> None:
o = ChatXAI(model="grok-beta", xai_api_key="foo") # type: ignore[call-arg]
s = str(o)
assert "foo" not in s
|
0 | lc_public_repos/langchain/libs/partners/xai/tests | lc_public_repos/langchain/libs/partners/xai/tests/unit_tests/test_chat_models.py | import json
import pytest # type: ignore[import-not-found]
from langchain_core.messages import (
AIMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
ToolMessage,
)
from langchain_openai.chat_models.base import (
_convert_dict_to_message,
_convert_message_to_dict,
)
from langchain_xai import ChatXAI
def test_initialization() -> None:
"""Test chat model initialization."""
ChatXAI(model="grok-beta")
def test_xai_model_param() -> None:
llm = ChatXAI(model="foo")
assert llm.model_name == "foo"
llm = ChatXAI(model_name="foo") # type: ignore[call-arg]
assert llm.model_name == "foo"
ls_params = llm._get_ls_params()
assert ls_params["ls_provider"] == "xai"
def test_chat_xai_invalid_streaming_params() -> None:
"""Test that streaming correctly invokes on_llm_new_token callback."""
with pytest.raises(ValueError):
ChatXAI(
model="grok-beta",
max_tokens=10,
streaming=True,
temperature=0,
n=5,
)
def test_chat_xai_extra_kwargs() -> None:
"""Test extra kwargs to chat xai."""
# Check that foo is saved in extra_kwargs.
llm = ChatXAI(model="grok-beta", foo=3, max_tokens=10) # type: ignore[call-arg]
assert llm.max_tokens == 10
assert llm.model_kwargs == {"foo": 3}
# Test that if extra_kwargs are provided, they are added to it.
llm = ChatXAI(model="grok-beta", foo=3, model_kwargs={"bar": 2}) # type: ignore[call-arg]
assert llm.model_kwargs == {"foo": 3, "bar": 2}
# Test that if provided twice it errors
with pytest.raises(ValueError):
ChatXAI(model="grok-beta", foo=3, model_kwargs={"foo": 2}) # type: ignore[call-arg]
def test_function_dict_to_message_function_message() -> None:
content = json.dumps({"result": "Example #1"})
name = "test_function"
result = _convert_dict_to_message(
{
"role": "function",
"name": name,
"content": content,
}
)
assert isinstance(result, FunctionMessage)
assert result.name == name
assert result.content == content
def test_convert_dict_to_message_human() -> None:
message = {"role": "user", "content": "foo"}
result = _convert_dict_to_message(message)
expected_output = HumanMessage(content="foo")
assert result == expected_output
assert _convert_message_to_dict(expected_output) == message
def test__convert_dict_to_message_human_with_name() -> None:
message = {"role": "user", "content": "foo", "name": "test"}
result = _convert_dict_to_message(message)
expected_output = HumanMessage(content="foo", name="test")
assert result == expected_output
assert _convert_message_to_dict(expected_output) == message
def test_convert_dict_to_message_ai() -> None:
message = {"role": "assistant", "content": "foo"}
result = _convert_dict_to_message(message)
expected_output = AIMessage(content="foo")
assert result == expected_output
assert _convert_message_to_dict(expected_output) == message
def test_convert_dict_to_message_ai_with_name() -> None:
message = {"role": "assistant", "content": "foo", "name": "test"}
result = _convert_dict_to_message(message)
expected_output = AIMessage(content="foo", name="test")
assert result == expected_output
assert _convert_message_to_dict(expected_output) == message
def test_convert_dict_to_message_system() -> None:
message = {"role": "system", "content": "foo"}
result = _convert_dict_to_message(message)
expected_output = SystemMessage(content="foo")
assert result == expected_output
assert _convert_message_to_dict(expected_output) == message
def test_convert_dict_to_message_system_with_name() -> None:
message = {"role": "system", "content": "foo", "name": "test"}
result = _convert_dict_to_message(message)
expected_output = SystemMessage(content="foo", name="test")
assert result == expected_output
assert _convert_message_to_dict(expected_output) == message
def test_convert_dict_to_message_tool() -> None:
message = {"role": "tool", "content": "foo", "tool_call_id": "bar"}
result = _convert_dict_to_message(message)
expected_output = ToolMessage(content="foo", tool_call_id="bar")
assert result == expected_output
assert _convert_message_to_dict(expected_output) == message
|
0 | lc_public_repos/langchain/libs/partners/xai/tests | lc_public_repos/langchain/libs/partners/xai/tests/unit_tests/test_imports.py | from langchain_xai import __all__
EXPECTED_ALL = ["ChatXAI"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
|
0 | lc_public_repos/langchain/libs/partners/xai/tests | lc_public_repos/langchain/libs/partners/xai/tests/unit_tests/test_chat_models_standard.py | """Standard LangChain interface tests"""
from typing import Tuple, Type
from langchain_core.language_models import BaseChatModel
from langchain_tests.unit_tests import ( # type: ignore[import-not-found]
ChatModelUnitTests, # type: ignore[import-not-found]
)
from langchain_xai import ChatXAI
class TestXAIStandard(ChatModelUnitTests):
@property
def chat_model_class(self) -> Type[BaseChatModel]:
return ChatXAI
@property
def chat_model_params(self) -> dict:
return {"model": "grok-beta"}
@property
def init_from_env_params(self) -> Tuple[dict, dict, dict]:
return (
{
"XAI_API_KEY": "api_key",
},
{
"model": "grok-beta",
},
{
"xai_api_key": "api_key",
"xai_api_base": "https://api.x.ai/v1/",
},
)
|
0 | lc_public_repos/langchain/libs/partners/xai/tests | lc_public_repos/langchain/libs/partners/xai/tests/unit_tests/__init__.py | import os
os.environ["XAI_API_KEY"] = "test"
|
0 | lc_public_repos/langchain/libs/partners/xai/tests/unit_tests | lc_public_repos/langchain/libs/partners/xai/tests/unit_tests/__snapshots__/test_chat_models_standard.ambr | # serializer version: 1
# name: TestXAIStandard.test_serdes[serialized]
dict({
'id': list([
'langchain_xai',
'chat_models',
'ChatXAI',
]),
'kwargs': dict({
'max_retries': 2,
'max_tokens': 100,
'model_name': 'grok-beta',
'n': 1,
'request_timeout': 60.0,
'stop': list([
]),
'temperature': 0.0,
'xai_api_base': 'https://api.x.ai/v1/',
'xai_api_key': dict({
'id': list([
'XAI_API_KEY',
]),
'lc': 1,
'type': 'secret',
}),
}),
'lc': 1,
'name': 'ChatXAI',
'type': 'constructor',
})
# ---
|
0 | lc_public_repos/langchain/libs/partners/xai | lc_public_repos/langchain/libs/partners/xai/scripts/lint_imports.sh | #!/bin/bash
set -eu
# Initialize a variable to keep track of errors
errors=0
# make sure not importing from langchain or langchain_experimental
git --no-pager grep '^from langchain\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1))
# Decide on an exit status based on the errors
if [ "$errors" -gt 0 ]; then
exit 1
else
exit 0
fi
|
0 | lc_public_repos/langchain/libs/partners/xai | lc_public_repos/langchain/libs/partners/xai/scripts/check_imports.py | """This module checks if the given python files can be imported without error."""
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
print(file)
traceback.print_exc()
print()
sys.exit(1 if has_failure else 0)
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/mistralai/Makefile | .PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
INTEGRATION_TEST_FILE ?= tests/integration_tests/
integration_test integration_tests: TEST_FILE=$(INTEGRATION_TEST_FILE)
test tests:
poetry run pytest $(TEST_FILE)
test_watch:
poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE)
integration_test integration_tests:
poetry run pytest $(TEST_FILE)
######################
# LINTING AND FORMATTING
######################
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/mistral --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langchain_mistralai
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)
spell_check:
poetry run codespell --toml pyproject.toml
spell_fix:
poetry run codespell --toml pyproject.toml -w
check_imports: $(shell find langchain_mistralai -name '*.py')
poetry run python ./scripts/check_imports.py $^
######################
# HELP
######################
help:
@echo '----'
@echo 'check_imports - check imports'
@echo 'format - run code formatters'
@echo 'lint - run linters'
@echo 'test - run unit tests'
@echo 'tests - run unit tests'
@echo 'test TEST_FILE=<test_file> - run all tests in file'
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/mistralai/LICENSE | MIT License
Copyright (c) 2023 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/mistralai/poetry.lock | # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
[[package]]
name = "anyio"
version = "4.6.2.post1"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.9"
files = [
{file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
{file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
]
[package.dependencies]
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
idna = ">=2.8"
sniffio = ">=1.1"
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras]
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
trio = ["trio (>=0.26.1)"]
[[package]]
name = "certifi"
version = "2024.8.30"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
{file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
]
[[package]]
name = "charset-normalizer"
version = "3.4.0"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
python-versions = ">=3.7.0"
files = [
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6"},
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b"},
{file = "charset_normalizer-3.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5ed2e36c3e9b4f21dd9422f6893dec0abf2cca553af509b10cd630f878d3eb99"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d3ff7fc90b98c637bda91c89d51264a3dcf210cade3a2c6f838c7268d7a4ca"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:86f4e8cca779080f66ff4f191a685ced73d2f72d50216f7112185dc02b90b9b7"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f683ddc7eedd742e2889d2bfb96d69573fde1d92fcb811979cdb7165bb9c7d3"},
{file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27623ba66c183eca01bf9ff833875b459cad267aeeb044477fedac35e19ba907"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f606a1881d2663630ea5b8ce2efe2111740df4b687bd78b34a8131baa007f79b"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e"},
{file = "charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:79983512b108e4a164b9c8d34de3992f76d48cadc9554c9e60b43f308988aabe"},
{file = "charset_normalizer-3.4.0-cp310-cp310-win32.whl", hash = "sha256:c94057af19bc953643a33581844649a7fdab902624d2eb739738a30e2b3e60fc"},
{file = "charset_normalizer-3.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:55f56e2ebd4e3bc50442fbc0888c9d8c94e4e06a933804e2af3e89e2f9c1c749"},
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0d99dd8ff461990f12d6e42c7347fd9ab2532fb70e9621ba520f9e8637161d7c"},
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c57516e58fd17d03ebe67e181a4e4e2ccab1168f8c2976c6a334d4f819fe5944"},
{file = "charset_normalizer-3.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6dba5d19c4dfab08e58d5b36304b3f92f3bd5d42c1a3fa37b5ba5cdf6dfcbcee"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf4475b82be41b07cc5e5ff94810e6a01f276e37c2d55571e3fe175e467a1a1c"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce031db0408e487fd2775d745ce30a7cd2923667cf3b69d48d219f1d8f5ddeb6"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ff4e7cdfdb1ab5698e675ca622e72d58a6fa2a8aa58195de0c0061288e6e3ea"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3710a9751938947e6327ea9f3ea6332a09bf0ba0c09cae9cb1f250bd1f1549bc"},
{file = "charset_normalizer-3.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82357d85de703176b5587dbe6ade8ff67f9f69a41c0733cf2425378b49954de5"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:47334db71978b23ebcf3c0f9f5ee98b8d65992b65c9c4f2d34c2eaf5bcaf0594"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8ce7fd6767a1cc5a92a639b391891bf1c268b03ec7e021c7d6d902285259685c"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:f1a2f519ae173b5b6a2c9d5fa3116ce16e48b3462c8b96dfdded11055e3d6365"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:63bc5c4ae26e4bc6be6469943b8253c0fd4e4186c43ad46e713ea61a0ba49129"},
{file = "charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bcb4f8ea87d03bc51ad04add8ceaf9b0f085ac045ab4d74e73bbc2dc033f0236"},
{file = "charset_normalizer-3.4.0-cp311-cp311-win32.whl", hash = "sha256:9ae4ef0b3f6b41bad6366fb0ea4fc1d7ed051528e113a60fa2a65a9abb5b1d99"},
{file = "charset_normalizer-3.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cee4373f4d3ad28f1ab6290684d8e2ebdb9e7a1b74fdc39e4c211995f77bec27"},
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6"},
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:de7376c29d95d6719048c194a9cf1a1b0393fbe8488a22008610b0361d834ecf"},
{file = "charset_normalizer-3.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a51b48f42d9358460b78725283f04bddaf44a9358197b889657deba38f329db"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b295729485b06c1a0683af02a9e42d2caa9db04a373dc38a6a58cdd1e8abddf1"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee803480535c44e7f5ad00788526da7d85525cfefaf8acf8ab9a310000be4b03"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d59d125ffbd6d552765510e3f31ed75ebac2c7470c7274195b9161a32350284"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cda06946eac330cbe6598f77bb54e690b4ca93f593dee1568ad22b04f347c15"},
{file = "charset_normalizer-3.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6b40e8d38afe634559e398cc32b1472f376a4099c75fe6299ae607e404c033b2"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b8dcd239c743aa2f9c22ce674a145e0a25cb1566c495928440a181ca1ccf6719"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:84450ba661fb96e9fd67629b93d2941c871ca86fc38d835d19d4225ff946a631"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:44aeb140295a2f0659e113b31cfe92c9061622cadbc9e2a2f7b8ef6b1e29ef4b"},
{file = "charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1db4e7fefefd0f548d73e2e2e041f9df5c59e178b4c72fbac4cc6f535cfb1565"},
{file = "charset_normalizer-3.4.0-cp312-cp312-win32.whl", hash = "sha256:5726cf76c982532c1863fb64d8c6dd0e4c90b6ece9feb06c9f202417a31f7dd7"},
{file = "charset_normalizer-3.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:b197e7094f232959f8f20541ead1d9862ac5ebea1d58e9849c1bf979255dfac9"},
{file = "charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:dd4eda173a9fcccb5f2e2bd2a9f423d180194b1bf17cf59e3269899235b2a114"},
{file = "charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e9e3c4c9e1ed40ea53acf11e2a386383c3304212c965773704e4603d589343ed"},
{file = "charset_normalizer-3.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:92a7e36b000bf022ef3dbb9c46bfe2d52c047d5e3f3343f43204263c5addc250"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54b6a92d009cbe2fb11054ba694bc9e284dad30a26757b1e372a1fdddaf21920"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ffd9493de4c922f2a38c2bf62b831dcec90ac673ed1ca182fe11b4d8e9f2a64"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35c404d74c2926d0287fbd63ed5d27eb911eb9e4a3bb2c6d294f3cfd4a9e0c23"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4796efc4faf6b53a18e3d46343535caed491776a22af773f366534056c4e1fbc"},
{file = "charset_normalizer-3.4.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e7fdd52961feb4c96507aa649550ec2a0d527c086d284749b2f582f2d40a2e0d"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:92db3c28b5b2a273346bebb24857fda45601aef6ae1c011c0a997106581e8a88"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ab973df98fc99ab39080bfb0eb3a925181454d7c3ac8a1e695fddfae696d9e90"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:4b67fdab07fdd3c10bb21edab3cbfe8cf5696f453afce75d815d9d7223fbe88b"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:aa41e526a5d4a9dfcfbab0716c7e8a1b215abd3f3df5a45cf18a12721d31cb5d"},
{file = "charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ffc519621dce0c767e96b9c53f09c5d215578e10b02c285809f76509a3931482"},
{file = "charset_normalizer-3.4.0-cp313-cp313-win32.whl", hash = "sha256:f19c1585933c82098c2a520f8ec1227f20e339e33aca8fa6f956f6691b784e67"},
{file = "charset_normalizer-3.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:707b82d19e65c9bd28b81dde95249b07bf9f5b90ebe1ef17d9b57473f8a64b7b"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:dbe03226baf438ac4fda9e2d0715022fd579cb641c4cf639fa40d53b2fe6f3e2"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd9a8bd8900e65504a305bf8ae6fa9fbc66de94178c420791d0293702fce2df7"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8831399554b92b72af5932cdbbd4ddc55c55f631bb13ff8fe4e6536a06c5c51"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a14969b8691f7998e74663b77b4c36c0337cb1df552da83d5c9004a93afdb574"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dcaf7c1524c0542ee2fc82cc8ec337f7a9f7edee2532421ab200d2b920fc97cf"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:425c5f215d0eecee9a56cdb703203dda90423247421bf0d67125add85d0c4455"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:d5b054862739d276e09928de37c79ddeec42a6e1bfc55863be96a36ba22926f6"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_i686.whl", hash = "sha256:f3e73a4255342d4eb26ef6df01e3962e73aa29baa3124a8e824c5d3364a65748"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:2f6c34da58ea9c1a9515621f4d9ac379871a8f21168ba1b5e09d74250de5ad62"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_s390x.whl", hash = "sha256:f09cb5a7bbe1ecae6e87901a2eb23e0256bb524a79ccc53eb0b7629fbe7677c4"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:0099d79bdfcf5c1f0c2c72f91516702ebf8b0b8ddd8905f97a8aecf49712c621"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-win32.whl", hash = "sha256:9c98230f5042f4945f957d006edccc2af1e03ed5e37ce7c373f00a5a4daa6149"},
{file = "charset_normalizer-3.4.0-cp37-cp37m-win_amd64.whl", hash = "sha256:62f60aebecfc7f4b82e3f639a7d1433a20ec32824db2199a11ad4f5e146ef5ee"},
{file = "charset_normalizer-3.4.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:af73657b7a68211996527dbfeffbb0864e043d270580c5aef06dc4b659a4b578"},
{file = "charset_normalizer-3.4.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:cab5d0b79d987c67f3b9e9c53f54a61360422a5a0bc075f43cab5621d530c3b6"},
{file = "charset_normalizer-3.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9289fd5dddcf57bab41d044f1756550f9e7cf0c8e373b8cdf0ce8773dc4bd417"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b493a043635eb376e50eedf7818f2f322eabbaa974e948bd8bdd29eb7ef2a51"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9fa2566ca27d67c86569e8c85297aaf413ffab85a8960500f12ea34ff98e4c41"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a8e538f46104c815be19c975572d74afb53f29650ea2025bbfaef359d2de2f7f"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fd30dc99682dc2c603c2b315bded2799019cea829f8bf57dc6b61efde6611c8"},
{file = "charset_normalizer-3.4.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2006769bd1640bdf4d5641c69a3d63b71b81445473cac5ded39740a226fa88ab"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:dc15e99b2d8a656f8e666854404f1ba54765871104e50c8e9813af8a7db07f12"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:ab2e5bef076f5a235c3774b4f4028a680432cded7cad37bba0fd90d64b187d19"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:4ec9dd88a5b71abfc74e9df5ebe7921c35cbb3b641181a531ca65cdb5e8e4dea"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:43193c5cda5d612f247172016c4bb71251c784d7a4d9314677186a838ad34858"},
{file = "charset_normalizer-3.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:aa693779a8b50cd97570e5a0f343538a8dbd3e496fa5dcb87e29406ad0299654"},
{file = "charset_normalizer-3.4.0-cp38-cp38-win32.whl", hash = "sha256:7706f5850360ac01d80c89bcef1640683cc12ed87f42579dab6c5d3ed6888613"},
{file = "charset_normalizer-3.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:c3e446d253bd88f6377260d07c895816ebf33ffffd56c1c792b13bff9c3e1ade"},
{file = "charset_normalizer-3.4.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:980b4f289d1d90ca5efcf07958d3eb38ed9c0b7676bf2831a54d4f66f9c27dfa"},
{file = "charset_normalizer-3.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f28f891ccd15c514a0981f3b9db9aa23d62fe1a99997512b0491d2ed323d229a"},
{file = "charset_normalizer-3.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8aacce6e2e1edcb6ac625fb0f8c3a9570ccc7bfba1f63419b3769ccf6a00ed0"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd7af3717683bea4c87acd8c0d3d5b44d56120b26fd3f8a692bdd2d5260c620a"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5ff2ed8194587faf56555927b3aa10e6fb69d931e33953943bc4f837dfee2242"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e91f541a85298cf35433bf66f3fab2a4a2cff05c127eeca4af174f6d497f0d4b"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:309a7de0a0ff3040acaebb35ec45d18db4b28232f21998851cfa709eeff49d62"},
{file = "charset_normalizer-3.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:285e96d9d53422efc0d7a17c60e59f37fbf3dfa942073f666db4ac71e8d726d0"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5d447056e2ca60382d460a604b6302d8db69476fd2015c81e7c35417cfabe4cd"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:20587d20f557fe189b7947d8e7ec5afa110ccf72a3128d61a2a387c3313f46be"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:130272c698667a982a5d0e626851ceff662565379baf0ff2cc58067b81d4f11d"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:ab22fbd9765e6954bc0bcff24c25ff71dcbfdb185fcdaca49e81bac68fe724d3"},
{file = "charset_normalizer-3.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:7782afc9b6b42200f7362858f9e73b1f8316afb276d316336c0ec3bd73312742"},
{file = "charset_normalizer-3.4.0-cp39-cp39-win32.whl", hash = "sha256:2de62e8801ddfff069cd5c504ce3bc9672b23266597d4e4f50eda28846c322f2"},
{file = "charset_normalizer-3.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:95c3c157765b031331dd4db3c775e58deaee050a3042fcad72cbc4189d7c8dca"},
{file = "charset_normalizer-3.4.0-py3-none-any.whl", hash = "sha256:fe9f97feb71aa9896b81973a7bbada8c49501dc73e58a10fcef6663af95e5079"},
{file = "charset_normalizer-3.4.0.tar.gz", hash = "sha256:223217c3d4f82c3ac5e29032b3f1c2eb0fb591b72161f86d93f5719079dae93e"},
]
[[package]]
name = "codespell"
version = "2.3.0"
description = "Codespell"
optional = false
python-versions = ">=3.8"
files = [
{file = "codespell-2.3.0-py3-none-any.whl", hash = "sha256:a9c7cef2501c9cfede2110fd6d4e5e62296920efe9abfb84648df866e47f58d1"},
{file = "codespell-2.3.0.tar.gz", hash = "sha256:360c7d10f75e65f67bad720af7007e1060a5d395670ec11a7ed1fed9dd17471f"},
]
[package.extras]
dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"]
hard-encoding-detection = ["chardet"]
toml = ["tomli"]
types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"]
[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "exceptiongroup"
version = "1.2.2"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
{file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
]
[package.extras]
test = ["pytest (>=6)"]
[[package]]
name = "filelock"
version = "3.16.1"
description = "A platform independent file lock."
optional = false
python-versions = ">=3.8"
files = [
{file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
{file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
]
[package.extras]
docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
typing = ["typing-extensions (>=4.12.2)"]
[[package]]
name = "fsspec"
version = "2024.10.0"
description = "File-system specification"
optional = false
python-versions = ">=3.8"
files = [
{file = "fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871"},
{file = "fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493"},
]
[package.extras]
abfs = ["adlfs"]
adl = ["adlfs"]
arrow = ["pyarrow (>=1)"]
dask = ["dask", "distributed"]
dev = ["pre-commit", "ruff"]
doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
fuse = ["fusepy"]
gcs = ["gcsfs"]
git = ["pygit2"]
github = ["requests"]
gs = ["gcsfs"]
gui = ["panel"]
hdfs = ["pyarrow (>=1)"]
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
libarchive = ["libarchive-c"]
oci = ["ocifs"]
s3 = ["s3fs"]
sftp = ["paramiko"]
smb = ["smbprotocol"]
ssh = ["paramiko"]
test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
tqdm = ["tqdm"]
[[package]]
name = "h11"
version = "0.14.0"
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
optional = false
python-versions = ">=3.7"
files = [
{file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
{file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
]
[[package]]
name = "httpcore"
version = "1.0.7"
description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
{file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
]
[package.dependencies]
certifi = "*"
h11 = ">=0.13,<0.15"
[package.extras]
asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
trio = ["trio (>=0.22.0,<1.0)"]
[[package]]
name = "httpx"
version = "0.27.2"
description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
{file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
]
[package.dependencies]
anyio = "*"
certifi = "*"
httpcore = "==1.*"
idna = "*"
sniffio = "*"
[package.extras]
brotli = ["brotli", "brotlicffi"]
cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "httpx-sse"
version = "0.4.0"
description = "Consume Server-Sent Event (SSE) messages with HTTPX."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
{file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
]
[[package]]
name = "huggingface-hub"
version = "0.26.3"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "huggingface_hub-0.26.3-py3-none-any.whl", hash = "sha256:e66aa99e569c2d5419240a9e553ad07245a5b1300350bfbc5a4945cf7432991b"},
{file = "huggingface_hub-0.26.3.tar.gz", hash = "sha256:90e1fe62ffc26757a073aaad618422b899ccf9447c2bba8c902a90bef5b42e1d"},
]
[package.dependencies]
filelock = "*"
fsspec = ">=2023.5.0"
packaging = ">=20.9"
pyyaml = ">=5.1"
requests = "*"
tqdm = ">=4.42.1"
typing-extensions = ">=3.7.4.3"
[package.extras]
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
cli = ["InquirerPy (==0.3.4)"]
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
hf-transfer = ["hf-transfer (>=0.1.4)"]
inference = ["aiohttp"]
quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
torch = ["safetensors[torch]", "torch"]
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
[[package]]
name = "idna"
version = "3.10"
description = "Internationalized Domain Names in Applications (IDNA)"
optional = false
python-versions = ">=3.6"
files = [
{file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
{file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
]
[package.extras]
all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
[[package]]
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
optional = false
python-versions = ">=3.7"
files = [
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
[[package]]
name = "jsonpatch"
version = "1.33"
description = "Apply JSON-Patches (RFC 6902)"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
{file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
{file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
]
[package.dependencies]
jsonpointer = ">=1.9"
[[package]]
name = "jsonpointer"
version = "3.0.0"
description = "Identify specific nodes in a JSON document (RFC 6901)"
optional = false
python-versions = ">=3.7"
files = [
{file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
{file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
]
[[package]]
name = "langchain-core"
version = "0.3.21"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.125"
packaging = ">=23.2,<25"
pydantic = [
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = ">=8.1.0,!=8.4.0,<10.0.0"
typing-extensions = ">=4.7"
[package.source]
type = "directory"
url = "../../core"
[[package]]
name = "langchain-tests"
version = "0.3.4"
description = "Standard tests for LangChain implementations"
optional = false
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
httpx = "^0.27.0"
langchain-core = "^0.3.19"
pytest = ">=7,<9"
syrupy = "^4"
[package.source]
type = "directory"
url = "../../standard-tests"
[[package]]
name = "langsmith"
version = "0.1.147"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.147-py3-none-any.whl", hash = "sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"},
{file = "langsmith-0.1.147.tar.gz", hash = "sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"},
]
[package.dependencies]
httpx = ">=0.23.0,<1"
orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
requests = ">=2,<3"
requests-toolbelt = ">=1.0.0,<2.0.0"
[package.extras]
langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
[[package]]
name = "mypy"
version = "1.13.0"
description = "Optional static typing for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "mypy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6607e0f1dd1fb7f0aca14d936d13fd19eba5e17e1cd2a14f808fa5f8f6d8f60a"},
{file = "mypy-1.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a21be69bd26fa81b1f80a61ee7ab05b076c674d9b18fb56239d72e21d9f4c80"},
{file = "mypy-1.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7b2353a44d2179846a096e25691d54d59904559f4232519d420d64da6828a3a7"},
{file = "mypy-1.13.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0730d1c6a2739d4511dc4253f8274cdd140c55c32dfb0a4cf8b7a43f40abfa6f"},
{file = "mypy-1.13.0-cp310-cp310-win_amd64.whl", hash = "sha256:c5fc54dbb712ff5e5a0fca797e6e0aa25726c7e72c6a5850cfd2adbc1eb0a372"},
{file = "mypy-1.13.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:581665e6f3a8a9078f28d5502f4c334c0c8d802ef55ea0e7276a6e409bc0d82d"},
{file = "mypy-1.13.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3ddb5b9bf82e05cc9a627e84707b528e5c7caaa1c55c69e175abb15a761cec2d"},
{file = "mypy-1.13.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:20c7ee0bc0d5a9595c46f38beb04201f2620065a93755704e141fcac9f59db2b"},
{file = "mypy-1.13.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3790ded76f0b34bc9c8ba4def8f919dd6a46db0f5a6610fb994fe8efdd447f73"},
{file = "mypy-1.13.0-cp311-cp311-win_amd64.whl", hash = "sha256:51f869f4b6b538229c1d1bcc1dd7d119817206e2bc54e8e374b3dfa202defcca"},
{file = "mypy-1.13.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5c7051a3461ae84dfb5dd15eff5094640c61c5f22257c8b766794e6dd85e72d5"},
{file = "mypy-1.13.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:39bb21c69a5d6342f4ce526e4584bc5c197fd20a60d14a8624d8743fffb9472e"},
{file = "mypy-1.13.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:164f28cb9d6367439031f4c81e84d3ccaa1e19232d9d05d37cb0bd880d3f93c2"},
{file = "mypy-1.13.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a4c1bfcdbce96ff5d96fc9b08e3831acb30dc44ab02671eca5953eadad07d6d0"},
{file = "mypy-1.13.0-cp312-cp312-win_amd64.whl", hash = "sha256:a0affb3a79a256b4183ba09811e3577c5163ed06685e4d4b46429a271ba174d2"},
{file = "mypy-1.13.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a7b44178c9760ce1a43f544e595d35ed61ac2c3de306599fa59b38a6048e1aa7"},
{file = "mypy-1.13.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5d5092efb8516d08440e36626f0153b5006d4088c1d663d88bf79625af3d1d62"},
{file = "mypy-1.13.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:de2904956dac40ced10931ac967ae63c5089bd498542194b436eb097a9f77bc8"},
{file = "mypy-1.13.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:7bfd8836970d33c2105562650656b6846149374dc8ed77d98424b40b09340ba7"},
{file = "mypy-1.13.0-cp313-cp313-win_amd64.whl", hash = "sha256:9f73dba9ec77acb86457a8fc04b5239822df0c14a082564737833d2963677dbc"},
{file = "mypy-1.13.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:100fac22ce82925f676a734af0db922ecfea991e1d7ec0ceb1e115ebe501301a"},
{file = "mypy-1.13.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7bcb0bb7f42a978bb323a7c88f1081d1b5dee77ca86f4100735a6f541299d8fb"},
{file = "mypy-1.13.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bde31fc887c213e223bbfc34328070996061b0833b0a4cfec53745ed61f3519b"},
{file = "mypy-1.13.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:07de989f89786f62b937851295ed62e51774722e5444a27cecca993fc3f9cd74"},
{file = "mypy-1.13.0-cp38-cp38-win_amd64.whl", hash = "sha256:4bde84334fbe19bad704b3f5b78c4abd35ff1026f8ba72b29de70dda0916beb6"},
{file = "mypy-1.13.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0246bcb1b5de7f08f2826451abd947bf656945209b140d16ed317f65a17dc7dc"},
{file = "mypy-1.13.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7f5b7deae912cf8b77e990b9280f170381fdfbddf61b4ef80927edd813163732"},
{file = "mypy-1.13.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7029881ec6ffb8bc233a4fa364736789582c738217b133f1b55967115288a2bc"},
{file = "mypy-1.13.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3e38b980e5681f28f033f3be86b099a247b13c491f14bb8b1e1e134d23bb599d"},
{file = "mypy-1.13.0-cp39-cp39-win_amd64.whl", hash = "sha256:a6789be98a2017c912ae6ccb77ea553bbaf13d27605d2ca20a76dfbced631b24"},
{file = "mypy-1.13.0-py3-none-any.whl", hash = "sha256:9c250883f9fd81d212e0952c92dbfcc96fc237f4b7c92f56ac81fd48460b3e5a"},
{file = "mypy-1.13.0.tar.gz", hash = "sha256:0291a61b6fbf3e6673e3405cfcc0e7650bebc7939659fdca2702958038bd835e"},
]
[package.dependencies]
mypy-extensions = ">=1.0.0"
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
typing-extensions = ">=4.6.0"
[package.extras]
dmypy = ["psutil (>=4.0)"]
faster-cache = ["orjson"]
install-types = ["pip"]
mypyc = ["setuptools (>=50)"]
reports = ["lxml"]
[[package]]
name = "mypy-extensions"
version = "1.0.0"
description = "Type system extensions for programs checked with the mypy type checker."
optional = false
python-versions = ">=3.5"
files = [
{file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
]
[[package]]
name = "orjson"
version = "3.10.12"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
python-versions = ">=3.8"
files = [
{file = "orjson-3.10.12-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:ece01a7ec71d9940cc654c482907a6b65df27251255097629d0dea781f255c6d"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c34ec9aebc04f11f4b978dd6caf697a2df2dd9b47d35aa4cc606cabcb9df69d7"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fd6ec8658da3480939c79b9e9e27e0db31dffcd4ba69c334e98c9976ac29140e"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f17e6baf4cf01534c9de8a16c0c611f3d94925d1701bf5f4aff17003677d8ced"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6402ebb74a14ef96f94a868569f5dccf70d791de49feb73180eb3c6fda2ade56"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0000758ae7c7853e0a4a6063f534c61656ebff644391e1f81698c1b2d2fc8cd2"},
{file = "orjson-3.10.12-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:888442dcee99fd1e5bd37a4abb94930915ca6af4db50e23e746cdf4d1e63db13"},
{file = "orjson-3.10.12-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:c1f7a3ce79246aa0e92f5458d86c54f257fb5dfdc14a192651ba7ec2c00f8a05"},
{file = "orjson-3.10.12-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:802a3935f45605c66fb4a586488a38af63cb37aaad1c1d94c982c40dcc452e85"},
{file = "orjson-3.10.12-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:1da1ef0113a2be19bb6c557fb0ec2d79c92ebd2fed4cfb1b26bab93f021fb885"},
{file = "orjson-3.10.12-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7a3273e99f367f137d5b3fecb5e9f45bcdbfac2a8b2f32fbc72129bbd48789c2"},
{file = "orjson-3.10.12-cp310-none-win32.whl", hash = "sha256:475661bf249fd7907d9b0a2a2421b4e684355a77ceef85b8352439a9163418c3"},
{file = "orjson-3.10.12-cp310-none-win_amd64.whl", hash = "sha256:87251dc1fb2b9e5ab91ce65d8f4caf21910d99ba8fb24b49fd0c118b2362d509"},
{file = "orjson-3.10.12-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a734c62efa42e7df94926d70fe7d37621c783dea9f707a98cdea796964d4cf74"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:750f8b27259d3409eda8350c2919a58b0cfcd2054ddc1bd317a643afc646ef23"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb52c22bfffe2857e7aa13b4622afd0dd9d16ea7cc65fd2bf318d3223b1b6252"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:440d9a337ac8c199ff8251e100c62e9488924c92852362cd27af0e67308c16ef"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9e15c06491c69997dfa067369baab3bf094ecb74be9912bdc4339972323f252"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:362d204ad4b0b8724cf370d0cd917bb2dc913c394030da748a3bb632445ce7c4"},
{file = "orjson-3.10.12-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2b57cbb4031153db37b41622eac67329c7810e5f480fda4cfd30542186f006ae"},
{file = "orjson-3.10.12-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:165c89b53ef03ce0d7c59ca5c82fa65fe13ddf52eeb22e859e58c237d4e33b9b"},
{file = "orjson-3.10.12-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:5dee91b8dfd54557c1a1596eb90bcd47dbcd26b0baaed919e6861f076583e9da"},
{file = "orjson-3.10.12-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:77a4e1cfb72de6f905bdff061172adfb3caf7a4578ebf481d8f0530879476c07"},
{file = "orjson-3.10.12-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:038d42c7bc0606443459b8fe2d1f121db474c49067d8d14c6a075bbea8bf14dd"},
{file = "orjson-3.10.12-cp311-none-win32.whl", hash = "sha256:03b553c02ab39bed249bedd4abe37b2118324d1674e639b33fab3d1dafdf4d79"},
{file = "orjson-3.10.12-cp311-none-win_amd64.whl", hash = "sha256:8b8713b9e46a45b2af6b96f559bfb13b1e02006f4242c156cbadef27800a55a8"},
{file = "orjson-3.10.12-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:53206d72eb656ca5ac7d3a7141e83c5bbd3ac30d5eccfe019409177a57634b0d"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac8010afc2150d417ebda810e8df08dd3f544e0dd2acab5370cfa6bcc0662f8f"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed459b46012ae950dd2e17150e838ab08215421487371fa79d0eced8d1461d70"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8dcb9673f108a93c1b52bfc51b0af422c2d08d4fc710ce9c839faad25020bb69"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:22a51ae77680c5c4652ebc63a83d5255ac7d65582891d9424b566fb3b5375ee9"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:910fdf2ac0637b9a77d1aad65f803bac414f0b06f720073438a7bd8906298192"},
{file = "orjson-3.10.12-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:24ce85f7100160936bc2116c09d1a8492639418633119a2224114f67f63a4559"},
{file = "orjson-3.10.12-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8a76ba5fc8dd9c913640292df27bff80a685bed3a3c990d59aa6ce24c352f8fc"},
{file = "orjson-3.10.12-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:ff70ef093895fd53f4055ca75f93f047e088d1430888ca1229393a7c0521100f"},
{file = "orjson-3.10.12-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:f4244b7018b5753ecd10a6d324ec1f347da130c953a9c88432c7fbc8875d13be"},
{file = "orjson-3.10.12-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:16135ccca03445f37921fa4b585cff9a58aa8d81ebcb27622e69bfadd220b32c"},
{file = "orjson-3.10.12-cp312-none-win32.whl", hash = "sha256:2d879c81172d583e34153d524fcba5d4adafbab8349a7b9f16ae511c2cee8708"},
{file = "orjson-3.10.12-cp312-none-win_amd64.whl", hash = "sha256:fc23f691fa0f5c140576b8c365bc942d577d861a9ee1142e4db468e4e17094fb"},
{file = "orjson-3.10.12-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:47962841b2a8aa9a258b377f5188db31ba49af47d4003a32f55d6f8b19006543"},
{file = "orjson-3.10.12-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6334730e2532e77b6054e87ca84f3072bee308a45a452ea0bffbbbc40a67e296"},
{file = "orjson-3.10.12-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:accfe93f42713c899fdac2747e8d0d5c659592df2792888c6c5f829472e4f85e"},
{file = "orjson-3.10.12-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a7974c490c014c48810d1dede6c754c3cc46598da758c25ca3b4001ac45b703f"},
{file = "orjson-3.10.12-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:3f250ce7727b0b2682f834a3facff88e310f52f07a5dcfd852d99637d386e79e"},
{file = "orjson-3.10.12-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:f31422ff9486ae484f10ffc51b5ab2a60359e92d0716fcce1b3593d7bb8a9af6"},
{file = "orjson-3.10.12-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5f29c5d282bb2d577c2a6bbde88d8fdcc4919c593f806aac50133f01b733846e"},
{file = "orjson-3.10.12-cp313-none-win32.whl", hash = "sha256:f45653775f38f63dc0e6cd4f14323984c3149c05d6007b58cb154dd080ddc0dc"},
{file = "orjson-3.10.12-cp313-none-win_amd64.whl", hash = "sha256:229994d0c376d5bdc91d92b3c9e6be2f1fbabd4cc1b59daae1443a46ee5e9825"},
{file = "orjson-3.10.12-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:7d69af5b54617a5fac5c8e5ed0859eb798e2ce8913262eb522590239db6c6763"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ed119ea7d2953365724a7059231a44830eb6bbb0cfead33fcbc562f5fd8f935"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9c5fc1238ef197e7cad5c91415f524aaa51e004be5a9b35a1b8a84ade196f73f"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:43509843990439b05f848539d6f6198d4ac86ff01dd024b2f9a795c0daeeab60"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f72e27a62041cfb37a3de512247ece9f240a561e6c8662276beaf4d53d406db4"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a904f9572092bb6742ab7c16c623f0cdccbad9eeb2d14d4aa06284867bddd31"},
{file = "orjson-3.10.12-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:855c0833999ed5dc62f64552db26f9be767434917d8348d77bacaab84f787d7b"},
{file = "orjson-3.10.12-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:897830244e2320f6184699f598df7fb9db9f5087d6f3f03666ae89d607e4f8ed"},
{file = "orjson-3.10.12-cp38-cp38-musllinux_1_2_armv7l.whl", hash = "sha256:0b32652eaa4a7539f6f04abc6243619c56f8530c53bf9b023e1269df5f7816dd"},
{file = "orjson-3.10.12-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:36b4aa31e0f6a1aeeb6f8377769ca5d125db000f05c20e54163aef1d3fe8e833"},
{file = "orjson-3.10.12-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:5535163054d6cbf2796f93e4f0dbc800f61914c0e3c4ed8499cf6ece22b4a3da"},
{file = "orjson-3.10.12-cp38-none-win32.whl", hash = "sha256:90a5551f6f5a5fa07010bf3d0b4ca2de21adafbbc0af6cb700b63cd767266cb9"},
{file = "orjson-3.10.12-cp38-none-win_amd64.whl", hash = "sha256:703a2fb35a06cdd45adf5d733cf613cbc0cb3ae57643472b16bc22d325b5fb6c"},
{file = "orjson-3.10.12-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:f29de3ef71a42a5822765def1febfb36e0859d33abf5c2ad240acad5c6a1b78d"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de365a42acc65d74953f05e4772c974dad6c51cfc13c3240899f534d611be967"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:91a5a0158648a67ff0004cb0df5df7dcc55bfc9ca154d9c01597a23ad54c8d0c"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c47ce6b8d90fe9646a25b6fb52284a14ff215c9595914af63a5933a49972ce36"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0eee4c2c5bfb5c1b47a5db80d2ac7aaa7e938956ae88089f098aff2c0f35d5d8"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:35d3081bbe8b86587eb5c98a73b97f13d8f9fea685cf91a579beddacc0d10566"},
{file = "orjson-3.10.12-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:73c23a6e90383884068bc2dba83d5222c9fcc3b99a0ed2411d38150734236755"},
{file = "orjson-3.10.12-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5472be7dc3269b4b52acba1433dac239215366f89dc1d8d0e64029abac4e714e"},
{file = "orjson-3.10.12-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:7319cda750fca96ae5973efb31b17d97a5c5225ae0bc79bf5bf84df9e1ec2ab6"},
{file = "orjson-3.10.12-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:74d5ca5a255bf20b8def6a2b96b1e18ad37b4a122d59b154c458ee9494377f80"},
{file = "orjson-3.10.12-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:ff31d22ecc5fb85ef62c7d4afe8301d10c558d00dd24274d4bbe464380d3cd69"},
{file = "orjson-3.10.12-cp39-none-win32.whl", hash = "sha256:c22c3ea6fba91d84fcb4cda30e64aff548fcf0c44c876e681f47d61d24b12e6b"},
{file = "orjson-3.10.12-cp39-none-win_amd64.whl", hash = "sha256:be604f60d45ace6b0b33dd990a66b4526f1a7a186ac411c942674625456ca548"},
{file = "orjson-3.10.12.tar.gz", hash = "sha256:0a78bbda3aea0f9f079057ee1ee8a1ecf790d4f1af88dd67493c6b8ee52506ff"},
]
[[package]]
name = "packaging"
version = "24.2"
description = "Core utilities for Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
{file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
]
[[package]]
name = "pluggy"
version = "1.5.0"
description = "plugin and hook calling mechanisms for python"
optional = false
python-versions = ">=3.8"
files = [
{file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
{file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
]
[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pydantic"
version = "2.10.2"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.10.2-py3-none-any.whl", hash = "sha256:cfb96e45951117c3024e6b67b25cdc33a3cb7b2fa62e239f7af1378358a1d99e"},
{file = "pydantic-2.10.2.tar.gz", hash = "sha256:2bc2d7f17232e0841cbba4641e65ba1eb6fafb3a08de3a091ff3ce14a197c4fa"},
]
[package.dependencies]
annotated-types = ">=0.6.0"
pydantic-core = "2.27.1"
typing-extensions = ">=4.12.2"
[package.extras]
email = ["email-validator (>=2.0.0)"]
timezone = ["tzdata"]
[[package]]
name = "pydantic-core"
version = "2.27.1"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic_core-2.27.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:71a5e35c75c021aaf400ac048dacc855f000bdfed91614b4a726f7432f1f3d6a"},
{file = "pydantic_core-2.27.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f82d068a2d6ecfc6e054726080af69a6764a10015467d7d7b9f66d6ed5afa23b"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:121ceb0e822f79163dd4699e4c54f5ad38b157084d97b34de8b232bcaad70278"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4603137322c18eaf2e06a4495f426aa8d8388940f3c457e7548145011bb68e05"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a33cd6ad9017bbeaa9ed78a2e0752c5e250eafb9534f308e7a5f7849b0b1bfb4"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:15cc53a3179ba0fcefe1e3ae50beb2784dede4003ad2dfd24f81bba4b23a454f"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45d9c5eb9273aa50999ad6adc6be5e0ecea7e09dbd0d31bd0c65a55a2592ca08"},
{file = "pydantic_core-2.27.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8bf7b66ce12a2ac52d16f776b31d16d91033150266eb796967a7e4621707e4f6"},
{file = "pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:655d7dd86f26cb15ce8a431036f66ce0318648f8853d709b4167786ec2fa4807"},
{file = "pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:5556470f1a2157031e676f776c2bc20acd34c1990ca5f7e56f1ebf938b9ab57c"},
{file = "pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f69ed81ab24d5a3bd93861c8c4436f54afdf8e8cc421562b0c7504cf3be58206"},
{file = "pydantic_core-2.27.1-cp310-none-win32.whl", hash = "sha256:f5a823165e6d04ccea61a9f0576f345f8ce40ed533013580e087bd4d7442b52c"},
{file = "pydantic_core-2.27.1-cp310-none-win_amd64.whl", hash = "sha256:57866a76e0b3823e0b56692d1a0bf722bffb324839bb5b7226a7dbd6c9a40b17"},
{file = "pydantic_core-2.27.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:ac3b20653bdbe160febbea8aa6c079d3df19310d50ac314911ed8cc4eb7f8cb8"},
{file = "pydantic_core-2.27.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a5a8e19d7c707c4cadb8c18f5f60c843052ae83c20fa7d44f41594c644a1d330"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f7059ca8d64fea7f238994c97d91f75965216bcbe5f695bb44f354893f11d52"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bed0f8a0eeea9fb72937ba118f9db0cb7e90773462af7962d382445f3005e5a4"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a3cb37038123447cf0f3ea4c74751f6a9d7afef0eb71aa07bf5f652b5e6a132c"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:84286494f6c5d05243456e04223d5a9417d7f443c3b76065e75001beb26f88de"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:acc07b2cfc5b835444b44a9956846b578d27beeacd4b52e45489e93276241025"},
{file = "pydantic_core-2.27.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4fefee876e07a6e9aad7a8c8c9f85b0cdbe7df52b8a9552307b09050f7512c7e"},
{file = "pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:258c57abf1188926c774a4c94dd29237e77eda19462e5bb901d88adcab6af919"},
{file = "pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:35c14ac45fcfdf7167ca76cc80b2001205a8d5d16d80524e13508371fb8cdd9c"},
{file = "pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d1b26e1dff225c31897696cab7d4f0a315d4c0d9e8666dbffdb28216f3b17fdc"},
{file = "pydantic_core-2.27.1-cp311-none-win32.whl", hash = "sha256:2cdf7d86886bc6982354862204ae3b2f7f96f21a3eb0ba5ca0ac42c7b38598b9"},
{file = "pydantic_core-2.27.1-cp311-none-win_amd64.whl", hash = "sha256:3af385b0cee8df3746c3f406f38bcbfdc9041b5c2d5ce3e5fc6637256e60bbc5"},
{file = "pydantic_core-2.27.1-cp311-none-win_arm64.whl", hash = "sha256:81f2ec23ddc1b476ff96563f2e8d723830b06dceae348ce02914a37cb4e74b89"},
{file = "pydantic_core-2.27.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:9cbd94fc661d2bab2bc702cddd2d3370bbdcc4cd0f8f57488a81bcce90c7a54f"},
{file = "pydantic_core-2.27.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5f8c4718cd44ec1580e180cb739713ecda2bdee1341084c1467802a417fe0f02"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15aae984e46de8d376df515f00450d1522077254ef6b7ce189b38ecee7c9677c"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:1ba5e3963344ff25fc8c40da90f44b0afca8cfd89d12964feb79ac1411a260ac"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:992cea5f4f3b29d6b4f7f1726ed8ee46c8331c6b4eed6db5b40134c6fe1768bb"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0325336f348dbee6550d129b1627cb8f5351a9dc91aad141ffb96d4937bd9529"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7597c07fbd11515f654d6ece3d0e4e5093edc30a436c63142d9a4b8e22f19c35"},
{file = "pydantic_core-2.27.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3bbd5d8cc692616d5ef6fbbbd50dbec142c7e6ad9beb66b78a96e9c16729b089"},
{file = "pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:dc61505e73298a84a2f317255fcc72b710b72980f3a1f670447a21efc88f8381"},
{file = "pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:e1f735dc43da318cad19b4173dd1ffce1d84aafd6c9b782b3abc04a0d5a6f5bb"},
{file = "pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f4e5658dbffe8843a0f12366a4c2d1c316dbe09bb4dfbdc9d2d9cd6031de8aae"},
{file = "pydantic_core-2.27.1-cp312-none-win32.whl", hash = "sha256:672ebbe820bb37988c4d136eca2652ee114992d5d41c7e4858cdd90ea94ffe5c"},
{file = "pydantic_core-2.27.1-cp312-none-win_amd64.whl", hash = "sha256:66ff044fd0bb1768688aecbe28b6190f6e799349221fb0de0e6f4048eca14c16"},
{file = "pydantic_core-2.27.1-cp312-none-win_arm64.whl", hash = "sha256:9a3b0793b1bbfd4146304e23d90045f2a9b5fd5823aa682665fbdaf2a6c28f3e"},
{file = "pydantic_core-2.27.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:f216dbce0e60e4d03e0c4353c7023b202d95cbaeff12e5fd2e82ea0a66905073"},
{file = "pydantic_core-2.27.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a2e02889071850bbfd36b56fd6bc98945e23670773bc7a76657e90e6b6603c08"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42b0e23f119b2b456d07ca91b307ae167cc3f6c846a7b169fca5326e32fdc6cf"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:764be71193f87d460a03f1f7385a82e226639732214b402f9aa61f0d025f0737"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1c00666a3bd2f84920a4e94434f5974d7bbc57e461318d6bb34ce9cdbbc1f6b2"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3ccaa88b24eebc0f849ce0a4d09e8a408ec5a94afff395eb69baf868f5183107"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c65af9088ac534313e1963443d0ec360bb2b9cba6c2909478d22c2e363d98a51"},
{file = "pydantic_core-2.27.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:206b5cf6f0c513baffaeae7bd817717140770c74528f3e4c3e1cec7871ddd61a"},
{file = "pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:062f60e512fc7fff8b8a9d680ff0ddaaef0193dba9fa83e679c0c5f5fbd018bc"},
{file = "pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:a0697803ed7d4af5e4c1adf1670af078f8fcab7a86350e969f454daf598c4960"},
{file = "pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:58ca98a950171f3151c603aeea9303ef6c235f692fe555e883591103da709b23"},
{file = "pydantic_core-2.27.1-cp313-none-win32.whl", hash = "sha256:8065914ff79f7eab1599bd80406681f0ad08f8e47c880f17b416c9f8f7a26d05"},
{file = "pydantic_core-2.27.1-cp313-none-win_amd64.whl", hash = "sha256:ba630d5e3db74c79300d9a5bdaaf6200172b107f263c98a0539eeecb857b2337"},
{file = "pydantic_core-2.27.1-cp313-none-win_arm64.whl", hash = "sha256:45cf8588c066860b623cd11c4ba687f8d7175d5f7ef65f7129df8a394c502de5"},
{file = "pydantic_core-2.27.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:5897bec80a09b4084aee23f9b73a9477a46c3304ad1d2d07acca19723fb1de62"},
{file = "pydantic_core-2.27.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d0165ab2914379bd56908c02294ed8405c252250668ebcb438a55494c69f44ab"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b9af86e1d8e4cfc82c2022bfaa6f459381a50b94a29e95dcdda8442d6d83864"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f6c8a66741c5f5447e047ab0ba7a1c61d1e95580d64bce852e3df1f895c4067"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9a42d6a8156ff78981f8aa56eb6394114e0dedb217cf8b729f438f643608cbcd"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:64c65f40b4cd8b0e049a8edde07e38b476da7e3aaebe63287c899d2cff253fa5"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fdcf339322a3fae5cbd504edcefddd5a50d9ee00d968696846f089b4432cf78"},
{file = "pydantic_core-2.27.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:bf99c8404f008750c846cb4ac4667b798a9f7de673ff719d705d9b2d6de49c5f"},
{file = "pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8f1edcea27918d748c7e5e4d917297b2a0ab80cad10f86631e488b7cddf76a36"},
{file = "pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_armv7l.whl", hash = "sha256:159cac0a3d096f79ab6a44d77a961917219707e2a130739c64d4dd46281f5c2a"},
{file = "pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:029d9757eb621cc6e1848fa0b0310310de7301057f623985698ed7ebb014391b"},
{file = "pydantic_core-2.27.1-cp38-none-win32.whl", hash = "sha256:a28af0695a45f7060e6f9b7092558a928a28553366519f64083c63a44f70e618"},
{file = "pydantic_core-2.27.1-cp38-none-win_amd64.whl", hash = "sha256:2d4567c850905d5eaaed2f7a404e61012a51caf288292e016360aa2b96ff38d4"},
{file = "pydantic_core-2.27.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:e9386266798d64eeb19dd3677051f5705bf873e98e15897ddb7d76f477131967"},
{file = "pydantic_core-2.27.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4228b5b646caa73f119b1ae756216b59cc6e2267201c27d3912b592c5e323b60"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b3dfe500de26c52abe0477dde16192ac39c98f05bf2d80e76102d394bd13854"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:aee66be87825cdf72ac64cb03ad4c15ffef4143dbf5c113f64a5ff4f81477bf9"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3b748c44bb9f53031c8cbc99a8a061bc181c1000c60a30f55393b6e9c45cc5bd"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ca038c7f6a0afd0b2448941b6ef9d5e1949e999f9e5517692eb6da58e9d44be"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e0bd57539da59a3e4671b90a502da9a28c72322a4f17866ba3ac63a82c4498e"},
{file = "pydantic_core-2.27.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ac6c2c45c847bbf8f91930d88716a0fb924b51e0c6dad329b793d670ec5db792"},
{file = "pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b94d4ba43739bbe8b0ce4262bcc3b7b9f31459ad120fb595627eaeb7f9b9ca01"},
{file = "pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_armv7l.whl", hash = "sha256:00e6424f4b26fe82d44577b4c842d7df97c20be6439e8e685d0d715feceb9fb9"},
{file = "pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:38de0a70160dd97540335b7ad3a74571b24f1dc3ed33f815f0880682e6880131"},
{file = "pydantic_core-2.27.1-cp39-none-win32.whl", hash = "sha256:7ccebf51efc61634f6c2344da73e366c75e735960b5654b63d7e6f69a5885fa3"},
{file = "pydantic_core-2.27.1-cp39-none-win_amd64.whl", hash = "sha256:a57847b090d7892f123726202b7daa20df6694cbd583b67a592e856bff603d6c"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3fa80ac2bd5856580e242dbc202db873c60a01b20309c8319b5c5986fbe53ce6"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d950caa237bb1954f1b8c9227b5065ba6875ac9771bb8ec790d956a699b78676"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e4216e64d203e39c62df627aa882f02a2438d18a5f21d7f721621f7a5d3611d"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02a3d637bd387c41d46b002f0e49c52642281edacd2740e5a42f7017feea3f2c"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:161c27ccce13b6b0c8689418da3885d3220ed2eae2ea5e9b2f7f3d48f1d52c27"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:19910754e4cc9c63bc1c7f6d73aa1cfee82f42007e407c0f413695c2f7ed777f"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:e173486019cc283dc9778315fa29a363579372fe67045e971e89b6365cc035ed"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:af52d26579b308921b73b956153066481f064875140ccd1dfd4e77db89dbb12f"},
{file = "pydantic_core-2.27.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:981fb88516bd1ae8b0cbbd2034678a39dedc98752f264ac9bc5839d3923fa04c"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:5fde892e6c697ce3e30c61b239330fc5d569a71fefd4eb6512fc6caec9dd9e2f"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:816f5aa087094099fff7edabb5e01cc370eb21aa1a1d44fe2d2aefdfb5599b31"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c10c309e18e443ddb108f0ef64e8729363adbfd92d6d57beec680f6261556f3"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:98476c98b02c8e9b2eec76ac4156fd006628b1b2d0ef27e548ffa978393fd154"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c3027001c28434e7ca5a6e1e527487051136aa81803ac812be51802150d880dd"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:7699b1df36a48169cdebda7ab5a2bac265204003f153b4bd17276153d997670a"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:1c39b07d90be6b48968ddc8c19e7585052088fd7ec8d568bb31ff64c70ae3c97"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:46ccfe3032b3915586e469d4972973f893c0a2bb65669194a5bdea9bacc088c2"},
{file = "pydantic_core-2.27.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:62ba45e21cf6571d7f716d903b5b7b6d2617e2d5d67c0923dc47b9d41369f840"},
{file = "pydantic_core-2.27.1.tar.gz", hash = "sha256:62a763352879b84aa31058fc931884055fd75089cccbd9d58bb6afd01141b235"},
]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pytest"
version = "7.4.4"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
{file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
iniconfig = "*"
packaging = "*"
pluggy = ">=0.12,<2.0"
tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
[package.extras]
testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "pytest-asyncio"
version = "0.21.2"
description = "Pytest support for asyncio"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b"},
{file = "pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45"},
]
[package.dependencies]
pytest = ">=7.0.0"
[package.extras]
docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
[[package]]
name = "pytest-watcher"
version = "0.3.5"
description = "Automatically rerun your tests on file modifications"
optional = false
python-versions = ">=3.7.0,<4.0.0"
files = [
{file = "pytest_watcher-0.3.5-py3-none-any.whl", hash = "sha256:af00ca52c7be22dc34c0fd3d7ffef99057207a73b05dc5161fe3b2fe91f58130"},
{file = "pytest_watcher-0.3.5.tar.gz", hash = "sha256:8896152460ba2b1a8200c12117c6611008ec96c8b2d811f0a05ab8a82b043ff8"},
]
[package.dependencies]
tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version < \"3.11\""}
watchdog = ">=2.0.0"
[[package]]
name = "pyyaml"
version = "6.0.2"
description = "YAML parser and emitter for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
{file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"},
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"},
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"},
{file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"},
{file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"},
{file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"},
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"},
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"},
{file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"},
{file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"},
{file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"},
{file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"},
{file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"},
{file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"},
{file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"},
{file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"},
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"},
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"},
{file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"},
{file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"},
{file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"},
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"},
{file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"},
{file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"},
{file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"},
{file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"},
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"},
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"},
{file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"},
{file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"},
{file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
]
[[package]]
name = "requests"
version = "2.32.3"
description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
files = [
{file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
{file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
]
[package.dependencies]
certifi = ">=2017.4.17"
charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<3"
[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "requests-toolbelt"
version = "1.0.0"
description = "A utility belt for advanced users of python-requests"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
{file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
]
[package.dependencies]
requests = ">=2.0.1,<3.0.0"
[[package]]
name = "ruff"
version = "0.5.7"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
files = [
{file = "ruff-0.5.7-py3-none-linux_armv6l.whl", hash = "sha256:548992d342fc404ee2e15a242cdbea4f8e39a52f2e7752d0e4cbe88d2d2f416a"},
{file = "ruff-0.5.7-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:00cc8872331055ee017c4f1071a8a31ca0809ccc0657da1d154a1d2abac5c0be"},
{file = "ruff-0.5.7-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eaf3d86a1fdac1aec8a3417a63587d93f906c678bb9ed0b796da7b59c1114a1e"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a01c34400097b06cf8a6e61b35d6d456d5bd1ae6961542de18ec81eaf33b4cb8"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fcc8054f1a717e2213500edaddcf1dbb0abad40d98e1bd9d0ad364f75c763eea"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7f70284e73f36558ef51602254451e50dd6cc479f8b6f8413a95fcb5db4a55fc"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:a78ad870ae3c460394fc95437d43deb5c04b5c29297815a2a1de028903f19692"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9ccd078c66a8e419475174bfe60a69adb36ce04f8d4e91b006f1329d5cd44bcf"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7e31c9bad4ebf8fdb77b59cae75814440731060a09a0e0077d559a556453acbb"},
{file = "ruff-0.5.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d796327eed8e168164346b769dd9a27a70e0298d667b4ecee6877ce8095ec8e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:4a09ea2c3f7778cc635e7f6edf57d566a8ee8f485f3c4454db7771efb692c499"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:a36d8dcf55b3a3bc353270d544fb170d75d2dff41eba5df57b4e0b67a95bb64e"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_i686.whl", hash = "sha256:9369c218f789eefbd1b8d82a8cf25017b523ac47d96b2f531eba73770971c9e5"},
{file = "ruff-0.5.7-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b88ca3db7eb377eb24fb7c82840546fb7acef75af4a74bd36e9ceb37a890257e"},
{file = "ruff-0.5.7-py3-none-win32.whl", hash = "sha256:33d61fc0e902198a3e55719f4be6b375b28f860b09c281e4bdbf783c0566576a"},
{file = "ruff-0.5.7-py3-none-win_amd64.whl", hash = "sha256:083bbcbe6fadb93cd86709037acc510f86eed5a314203079df174c40bbbca6b3"},
{file = "ruff-0.5.7-py3-none-win_arm64.whl", hash = "sha256:2dca26154ff9571995107221d0aeaad0e75a77b5a682d6236cf89a58c70b76f4"},
{file = "ruff-0.5.7.tar.gz", hash = "sha256:8dfc0a458797f5d9fb622dd0efc52d796f23f0a1493a9527f4e49a550ae9a7e5"},
]
[[package]]
name = "sniffio"
version = "1.3.1"
description = "Sniff out which async library your code is running under"
optional = false
python-versions = ">=3.7"
files = [
{file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
{file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
]
[[package]]
name = "syrupy"
version = "4.8.0"
description = "Pytest Snapshot Test Utility"
optional = false
python-versions = ">=3.8.1"
files = [
{file = "syrupy-4.8.0-py3-none-any.whl", hash = "sha256:544f4ec6306f4b1c460fdab48fd60b2c7fe54a6c0a8243aeea15f9ad9c638c3f"},
{file = "syrupy-4.8.0.tar.gz", hash = "sha256:648f0e9303aaa8387c8365d7314784c09a6bab0a407455c6a01d6a4f5c6a8ede"},
]
[package.dependencies]
pytest = ">=7.0.0,<9.0.0"
[[package]]
name = "tenacity"
version = "9.0.0"
description = "Retry code until it succeeds"
optional = false
python-versions = ">=3.8"
files = [
{file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
{file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
]
[package.extras]
doc = ["reno", "sphinx"]
test = ["pytest", "tornado (>=4.5)", "typeguard"]
[[package]]
name = "tokenizers"
version = "0.21.0"
description = ""
optional = false
python-versions = ">=3.7"
files = [
{file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"},
{file = "tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e"},
{file = "tokenizers-0.21.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b177fb54c4702ef611de0c069d9169f0004233890e0c4c5bd5508ae05abf193"},
{file = "tokenizers-0.21.0-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6b43779a269f4629bebb114e19c3fca0223296ae9fea8bb9a7a6c6fb0657ff8e"},
{file = "tokenizers-0.21.0-cp39-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9aeb255802be90acfd363626753fda0064a8df06031012fe7d52fd9a905eb00e"},
{file = "tokenizers-0.21.0-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d8b09dbeb7a8d73ee204a70f94fc06ea0f17dcf0844f16102b9f414f0b7463ba"},
{file = "tokenizers-0.21.0-cp39-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:400832c0904f77ce87c40f1a8a27493071282f785724ae62144324f171377273"},
{file = "tokenizers-0.21.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e84ca973b3a96894d1707e189c14a774b701596d579ffc7e69debfc036a61a04"},
{file = "tokenizers-0.21.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:eb7202d231b273c34ec67767378cd04c767e967fda12d4a9e36208a34e2f137e"},
{file = "tokenizers-0.21.0-cp39-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:089d56db6782a73a27fd8abf3ba21779f5b85d4a9f35e3b493c7bbcbbf0d539b"},
{file = "tokenizers-0.21.0-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:c87ca3dc48b9b1222d984b6b7490355a6fdb411a2d810f6f05977258400ddb74"},
{file = "tokenizers-0.21.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:4145505a973116f91bc3ac45988a92e618a6f83eb458f49ea0790df94ee243ff"},
{file = "tokenizers-0.21.0-cp39-abi3-win32.whl", hash = "sha256:eb1702c2f27d25d9dd5b389cc1f2f51813e99f8ca30d9e25348db6585a97e24a"},
{file = "tokenizers-0.21.0-cp39-abi3-win_amd64.whl", hash = "sha256:87841da5a25a3a5f70c102de371db120f41873b854ba65e52bccd57df5a3780c"},
{file = "tokenizers-0.21.0.tar.gz", hash = "sha256:ee0894bf311b75b0c03079f33859ae4b2334d675d4e93f5a4132e1eae2834fe4"},
]
[package.dependencies]
huggingface-hub = ">=0.16.4,<1.0"
[package.extras]
dev = ["tokenizers[testing]"]
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
[[package]]
name = "tomli"
version = "2.2.1"
description = "A lil' TOML parser"
optional = false
python-versions = ">=3.8"
files = [
{file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
{file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
{file = "tomli-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ece47d672db52ac607a3d9599a9d48dcb2f2f735c6c2d1f34130085bb12b112a"},
{file = "tomli-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6972ca9c9cc9f0acaa56a8ca1ff51e7af152a9f87fb64623e31d5c83700080ee"},
{file = "tomli-2.2.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c954d2250168d28797dd4e3ac5cf812a406cd5a92674ee4c8f123c889786aa8e"},
{file = "tomli-2.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8dd28b3e155b80f4d54beb40a441d366adcfe740969820caf156c019fb5c7ec4"},
{file = "tomli-2.2.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:e59e304978767a54663af13c07b3d1af22ddee3bb2fb0618ca1593e4f593a106"},
{file = "tomli-2.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:33580bccab0338d00994d7f16f4c4ec25b776af3ffaac1ed74e0b3fc95e885a8"},
{file = "tomli-2.2.1-cp311-cp311-win32.whl", hash = "sha256:465af0e0875402f1d226519c9904f37254b3045fc5084697cefb9bdde1ff99ff"},
{file = "tomli-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:2d0f2fdd22b02c6d81637a3c95f8cd77f995846af7414c5c4b8d0545afa1bc4b"},
{file = "tomli-2.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4a8f6e44de52d5e6c657c9fe83b562f5f4256d8ebbfe4ff922c495620a7f6cea"},
{file = "tomli-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8d57ca8095a641b8237d5b079147646153d22552f1c637fd3ba7f4b0b29167a8"},
{file = "tomli-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e340144ad7ae1533cb897d406382b4b6fede8890a03738ff1683af800d54192"},
{file = "tomli-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db2b95f9de79181805df90bedc5a5ab4c165e6ec3fe99f970d0e302f384ad222"},
{file = "tomli-2.2.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40741994320b232529c802f8bc86da4e1aa9f413db394617b9a256ae0f9a7f77"},
{file = "tomli-2.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:400e720fe168c0f8521520190686ef8ef033fb19fc493da09779e592861b78c6"},
{file = "tomli-2.2.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd"},
{file = "tomli-2.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b82ebccc8c8a36f2094e969560a1b836758481f3dc360ce9a3277c65f374285e"},
{file = "tomli-2.2.1-cp312-cp312-win32.whl", hash = "sha256:889f80ef92701b9dbb224e49ec87c645ce5df3fa2cc548664eb8a25e03127a98"},
{file = "tomli-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:7fc04e92e1d624a4a63c76474610238576942d6b8950a2d7f908a340494e67e4"},
{file = "tomli-2.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f4039b9cbc3048b2416cc57ab3bda989a6fcf9b36cf8937f01a6e731b64f80d7"},
{file = "tomli-2.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:286f0ca2ffeeb5b9bd4fcc8d6c330534323ec51b2f52da063b11c502da16f30c"},
{file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a92ef1a44547e894e2a17d24e7557a5e85a9e1d0048b0b5e7541f76c5032cb13"},
{file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9316dc65bed1684c9a98ee68759ceaed29d229e985297003e494aa825ebb0281"},
{file = "tomli-2.2.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e85e99945e688e32d5a35c1ff38ed0b3f41f43fad8df0bdf79f72b2ba7bc5272"},
{file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ac065718db92ca818f8d6141b5f66369833d4a80a9d74435a268c52bdfa73140"},
{file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2"},
{file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744"},
{file = "tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec"},
{file = "tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69"},
{file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
{file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
]
[[package]]
name = "tqdm"
version = "4.67.1"
description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
files = [
{file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
{file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
]
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
discord = ["requests"]
notebook = ["ipywidgets (>=6)"]
slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
name = "typing-extensions"
version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[[package]]
name = "urllib3"
version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
{file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
{file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
]
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "watchdog"
version = "6.0.0"
description = "Filesystem events monitoring"
optional = false
python-versions = ">=3.9"
files = [
{file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"},
{file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"},
{file = "watchdog-6.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c897ac1b55c5a1461e16dae288d22bb2e412ba9807df8397a635d88f671d36c3"},
{file = "watchdog-6.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6eb11feb5a0d452ee41f824e271ca311a09e250441c262ca2fd7ebcf2461a06c"},
{file = "watchdog-6.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ef810fbf7b781a5a593894e4f439773830bdecb885e6880d957d5b9382a960d2"},
{file = "watchdog-6.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:afd0fe1b2270917c5e23c2a65ce50c2a4abb63daafb0d419fde368e272a76b7c"},
{file = "watchdog-6.0.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:bdd4e6f14b8b18c334febb9c4425a878a2ac20efd1e0b231978e7b150f92a948"},
{file = "watchdog-6.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c7c15dda13c4eb00d6fb6fc508b3c0ed88b9d5d374056b239c4ad1611125c860"},
{file = "watchdog-6.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6f10cb2d5902447c7d0da897e2c6768bca89174d0c6e1e30abec5421af97a5b0"},
{file = "watchdog-6.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:490ab2ef84f11129844c23fb14ecf30ef3d8a6abafd3754a6f75ca1e6654136c"},
{file = "watchdog-6.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:76aae96b00ae814b181bb25b1b98076d5fc84e8a53cd8885a318b42b6d3a5134"},
{file = "watchdog-6.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a175f755fc2279e0b7312c0035d52e27211a5bc39719dd529625b1930917345b"},
{file = "watchdog-6.0.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e6f0e77c9417e7cd62af82529b10563db3423625c5fce018430b249bf977f9e8"},
{file = "watchdog-6.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:90c8e78f3b94014f7aaae121e6b909674df5b46ec24d6bebc45c44c56729af2a"},
{file = "watchdog-6.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e7631a77ffb1f7d2eefa4445ebbee491c720a5661ddf6df3498ebecae5ed375c"},
{file = "watchdog-6.0.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:c7ac31a19f4545dd92fc25d200694098f42c9a8e391bc00bdd362c5736dbf881"},
{file = "watchdog-6.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9513f27a1a582d9808cf21a07dae516f0fab1cf2d7683a742c498b93eedabb11"},
{file = "watchdog-6.0.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7a0e56874cfbc4b9b05c60c8a1926fedf56324bb08cfbc188969777940aef3aa"},
{file = "watchdog-6.0.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:e6439e374fc012255b4ec786ae3c4bc838cd7309a540e5fe0952d03687d8804e"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7607498efa04a3542ae3e05e64da8202e58159aa1fa4acddf7678d34a35d4f13"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:9041567ee8953024c83343288ccc458fd0a2d811d6a0fd68c4c22609e3490379"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:82dc3e3143c7e38ec49d61af98d6558288c415eac98486a5c581726e0737c00e"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:212ac9b8bf1161dc91bd09c048048a95ca3a4c4f5e5d4a7d1b1a7d5752a7f96f"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:e3df4cbb9a450c6d49318f6d14f4bbc80d763fa587ba46ec86f99f9e6876bb26"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:2cce7cfc2008eb51feb6aab51251fd79b85d9894e98ba847408f662b3395ca3c"},
{file = "watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:20ffe5b202af80ab4266dcd3e91aae72bf2da48c0d33bdb15c66658e685e94e2"},
{file = "watchdog-6.0.0-py3-none-win32.whl", hash = "sha256:07df1fdd701c5d4c8e55ef6cf55b8f0120fe1aef7ef39a1c6fc6bc2e606d517a"},
{file = "watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680"},
{file = "watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f"},
{file = "watchdog-6.0.0.tar.gz", hash = "sha256:9ddf7c82fda3ae8e24decda1338ede66e1c99883db93711d8fb941eaa2d8c282"},
]
[package.extras]
watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "a89781c86a72349bba46de58ba88102bf2ae1f58a9b0fe79d952caecb656a585"
|
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/mistralai/README.md | # langchain-mistralai
This package contains the LangChain integrations for [MistralAI](https://docs.mistral.ai) through their [mistralai](https://pypi.org/project/mistralai/) SDK.
## Installation
```bash
pip install -U langchain-mistralai
```
## Chat Models
This package contains the `ChatMistralAI` class, which is the recommended way to interface with MistralAI models.
To use, install the requirements, and configure your environment.
```bash
export MISTRAL_API_KEY=your-api-key
```
Then initialize
```python
from langchain_core.messages import HumanMessage
from langchain_mistralai.chat_models import ChatMistralAI
chat = ChatMistralAI(model="mistral-small")
messages = [HumanMessage(content="say a brief hello")]
chat.invoke(messages)
```
`ChatMistralAI` also supports async and streaming functionality:
```python
# For async...
await chat.ainvoke(messages)
# For streaming...
for chunk in chat.stream(messages):
print(chunk.content, end="", flush=True)
```
## Embeddings
With `MistralAIEmbeddings`, you can directly use the default model 'mistral-embed', or set a different one if available.
### Choose model
`embedding.model = 'mistral-embed'`
### Simple query
`res_query = embedding.embed_query("The test information")`
### Documents
`res_document = embedding.embed_documents(["test1", "another test"])` |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/mistralai/pyproject.toml | [build-system]
requires = [ "poetry-core>=1.0.0",]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-mistralai"
version = "0.2.3"
description = "An integration package connecting Mistral and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.mypy]
disallow_untyped_defs = "True"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/mistralai"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-mistralai%3D%3D0%22&expanded=true"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = "^0.3.21"
tokenizers = ">=0.15.1,<1"
httpx = ">=0.25.2,<1"
httpx-sse = ">=0.3.1,<1"
pydantic = ">=2,<3"
[tool.ruff.lint]
select = [ "E", "F", "I", "T201",]
[tool.coverage.run]
omit = [ "tests/*",]
[tool.pytest.ini_options]
addopts = "--strict-markers --strict-config --durations=5"
markers = [ "requires: mark tests as requiring a specific library", "compile: mark placeholder test used to compile integration tests without running them",]
asyncio_mode = "auto"
[tool.poetry.group.test]
optional = true
[tool.poetry.group.test_integration]
optional = true
[tool.poetry.group.codespell]
optional = true
[tool.poetry.group.lint]
optional = true
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.test.dependencies]
pytest = "^7.3.0"
pytest-asyncio = "^0.21.1"
pytest-watcher = "^0.3.4"
[tool.poetry.group.test_integration.dependencies]
[tool.poetry.group.codespell.dependencies]
codespell = "^2.2.0"
[tool.poetry.group.lint.dependencies]
ruff = "^0.5"
[tool.poetry.group.typing.dependencies]
mypy = "^1.10"
[tool.poetry.group.test.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.test.dependencies.langchain-tests]
path = "../../standard-tests"
develop = true
[tool.poetry.group.dev.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.typing.dependencies.langchain-core]
path = "../../core"
develop = true
|
0 | lc_public_repos/langchain/libs/partners/mistralai | lc_public_repos/langchain/libs/partners/mistralai/langchain_mistralai/chat_models.py | from __future__ import annotations
import hashlib
import json
import logging
import os
import re
import uuid
from operator import itemgetter
from typing import (
Any,
AsyncContextManager,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Literal,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
import httpx
from httpx_sse import EventSource, aconnect_sse, connect_sse
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models import LanguageModelInput
from langchain_core.language_models.chat_models import (
BaseChatModel,
LangSmithParams,
agenerate_from_stream,
generate_from_stream,
)
from langchain_core.language_models.llms import create_base_retry_decorator
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
BaseMessage,
BaseMessageChunk,
ChatMessage,
ChatMessageChunk,
HumanMessage,
HumanMessageChunk,
InvalidToolCall,
SystemMessage,
SystemMessageChunk,
ToolCall,
ToolMessage,
)
from langchain_core.messages.tool import tool_call_chunk
from langchain_core.output_parsers import (
JsonOutputParser,
PydanticOutputParser,
)
from langchain_core.output_parsers.base import OutputParserLike
from langchain_core.output_parsers.openai_tools import (
JsonOutputKeyToolsParser,
PydanticToolsParser,
make_invalid_tool_call,
parse_tool_call,
)
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
from langchain_core.runnables import Runnable, RunnableMap, RunnablePassthrough
from langchain_core.tools import BaseTool
from langchain_core.utils import secret_from_env
from langchain_core.utils.function_calling import convert_to_openai_tool
from langchain_core.utils.pydantic import is_basemodel_subclass
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,
model_validator,
)
from typing_extensions import Self
logger = logging.getLogger(__name__)
# Mistral enforces a specific pattern for tool call IDs
TOOL_CALL_ID_PATTERN = re.compile(r"^[a-zA-Z0-9]{9}$")
def _create_retry_decorator(
llm: ChatMistralAI,
run_manager: Optional[
Union[AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun]
] = None,
) -> Callable[[Any], Any]:
"""Returns a tenacity retry decorator, preconfigured to handle exceptions"""
errors = [httpx.RequestError, httpx.StreamError]
return create_base_retry_decorator(
error_types=errors, max_retries=llm.max_retries, run_manager=run_manager
)
def _is_valid_mistral_tool_call_id(tool_call_id: str) -> bool:
"""Check if tool call ID is nine character string consisting of a-z, A-Z, 0-9"""
return bool(TOOL_CALL_ID_PATTERN.match(tool_call_id))
def _base62_encode(num: int) -> str:
"""Encodes a number in base62 and ensures result is of a specified length."""
base62 = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
if num == 0:
return base62[0]
arr = []
base = len(base62)
while num:
num, rem = divmod(num, base)
arr.append(base62[rem])
arr.reverse()
return "".join(arr)
def _convert_tool_call_id_to_mistral_compatible(tool_call_id: str) -> str:
"""Convert a tool call ID to a Mistral-compatible format"""
if _is_valid_mistral_tool_call_id(tool_call_id):
return tool_call_id
else:
hash_bytes = hashlib.sha256(tool_call_id.encode()).digest()
hash_int = int.from_bytes(hash_bytes, byteorder="big")
base62_str = _base62_encode(hash_int)
if len(base62_str) >= 9:
return base62_str[:9]
else:
return base62_str.rjust(9, "0")
def _convert_mistral_chat_message_to_message(
_message: Dict,
) -> BaseMessage:
role = _message["role"]
assert role == "assistant", f"Expected role to be 'assistant', got {role}"
content = cast(str, _message["content"])
additional_kwargs: Dict = {}
tool_calls = []
invalid_tool_calls = []
if raw_tool_calls := _message.get("tool_calls"):
additional_kwargs["tool_calls"] = raw_tool_calls
for raw_tool_call in raw_tool_calls:
try:
parsed: dict = cast(
dict, parse_tool_call(raw_tool_call, return_id=True)
)
if not parsed["id"]:
parsed["id"] = uuid.uuid4().hex[:]
tool_calls.append(parsed)
except Exception as e:
invalid_tool_calls.append(make_invalid_tool_call(raw_tool_call, str(e)))
return AIMessage(
content=content,
additional_kwargs=additional_kwargs,
tool_calls=tool_calls,
invalid_tool_calls=invalid_tool_calls,
)
def _raise_on_error(response: httpx.Response) -> None:
"""Raise an error if the response is an error."""
if httpx.codes.is_error(response.status_code):
error_message = response.read().decode("utf-8")
raise httpx.HTTPStatusError(
f"Error response {response.status_code} "
f"while fetching {response.url}: {error_message}",
request=response.request,
response=response,
)
async def _araise_on_error(response: httpx.Response) -> None:
"""Raise an error if the response is an error."""
if httpx.codes.is_error(response.status_code):
error_message = (await response.aread()).decode("utf-8")
raise httpx.HTTPStatusError(
f"Error response {response.status_code} "
f"while fetching {response.url}: {error_message}",
request=response.request,
response=response,
)
async def _aiter_sse(
event_source_mgr: AsyncContextManager[EventSource],
) -> AsyncIterator[Dict]:
"""Iterate over the server-sent events."""
async with event_source_mgr as event_source:
await _araise_on_error(event_source.response)
async for event in event_source.aiter_sse():
if event.data == "[DONE]":
return
yield event.json()
async def acompletion_with_retry(
llm: ChatMistralAI,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> Any:
"""Use tenacity to retry the async completion call."""
retry_decorator = _create_retry_decorator(llm, run_manager=run_manager)
@retry_decorator
async def _completion_with_retry(**kwargs: Any) -> Any:
if "stream" not in kwargs:
kwargs["stream"] = False
stream = kwargs["stream"]
if stream:
event_source = aconnect_sse(
llm.async_client, "POST", "/chat/completions", json=kwargs
)
return _aiter_sse(event_source)
else:
response = await llm.async_client.post(url="/chat/completions", json=kwargs)
await _araise_on_error(response)
return response.json()
return await _completion_with_retry(**kwargs)
def _convert_chunk_to_message_chunk(
chunk: Dict, default_class: Type[BaseMessageChunk]
) -> BaseMessageChunk:
_delta = chunk["choices"][0]["delta"]
role = _delta.get("role")
content = _delta.get("content") or ""
if role == "user" or default_class == HumanMessageChunk:
return HumanMessageChunk(content=content)
elif role == "assistant" or default_class == AIMessageChunk:
additional_kwargs: Dict = {}
if raw_tool_calls := _delta.get("tool_calls"):
additional_kwargs["tool_calls"] = raw_tool_calls
try:
tool_call_chunks = []
for raw_tool_call in raw_tool_calls:
if not raw_tool_call.get("index") and not raw_tool_call.get("id"):
tool_call_id = uuid.uuid4().hex[:]
else:
tool_call_id = raw_tool_call.get("id")
tool_call_chunks.append(
tool_call_chunk(
name=raw_tool_call["function"].get("name"),
args=raw_tool_call["function"].get("arguments"),
id=tool_call_id,
index=raw_tool_call.get("index"),
)
)
except KeyError:
pass
else:
tool_call_chunks = []
if token_usage := chunk.get("usage"):
usage_metadata = {
"input_tokens": token_usage.get("prompt_tokens", 0),
"output_tokens": token_usage.get("completion_tokens", 0),
"total_tokens": token_usage.get("total_tokens", 0),
}
else:
usage_metadata = None
return AIMessageChunk(
content=content,
additional_kwargs=additional_kwargs,
tool_call_chunks=tool_call_chunks, # type: ignore[arg-type]
usage_metadata=usage_metadata, # type: ignore[arg-type]
)
elif role == "system" or default_class == SystemMessageChunk:
return SystemMessageChunk(content=content)
elif role or default_class == ChatMessageChunk:
return ChatMessageChunk(content=content, role=role)
else:
return default_class(content=content) # type: ignore[call-arg]
def _format_tool_call_for_mistral(tool_call: ToolCall) -> dict:
"""Format Langchain ToolCall to dict expected by Mistral."""
result: Dict[str, Any] = {
"function": {
"name": tool_call["name"],
"arguments": json.dumps(tool_call["args"]),
}
}
if _id := tool_call.get("id"):
result["id"] = _convert_tool_call_id_to_mistral_compatible(_id)
return result
def _format_invalid_tool_call_for_mistral(invalid_tool_call: InvalidToolCall) -> dict:
"""Format Langchain InvalidToolCall to dict expected by Mistral."""
result: Dict[str, Any] = {
"function": {
"name": invalid_tool_call["name"],
"arguments": invalid_tool_call["args"],
}
}
if _id := invalid_tool_call.get("id"):
result["id"] = _convert_tool_call_id_to_mistral_compatible(_id)
return result
def _convert_message_to_mistral_chat_message(
message: BaseMessage,
) -> Dict:
if isinstance(message, ChatMessage):
return dict(role=message.role, content=message.content)
elif isinstance(message, HumanMessage):
return dict(role="user", content=message.content)
elif isinstance(message, AIMessage):
message_dict: Dict[str, Any] = {"role": "assistant"}
tool_calls = []
if message.tool_calls or message.invalid_tool_calls:
for tool_call in message.tool_calls:
tool_calls.append(_format_tool_call_for_mistral(tool_call))
for invalid_tool_call in message.invalid_tool_calls:
tool_calls.append(
_format_invalid_tool_call_for_mistral(invalid_tool_call)
)
elif "tool_calls" in message.additional_kwargs:
for tc in message.additional_kwargs["tool_calls"]:
chunk = {
"function": {
"name": tc["function"]["name"],
"arguments": tc["function"]["arguments"],
}
}
if _id := tc.get("id"):
chunk["id"] = _id
tool_calls.append(chunk)
else:
pass
if tool_calls: # do not populate empty list tool_calls
message_dict["tool_calls"] = tool_calls
if tool_calls and message.content:
# Assistant message must have either content or tool_calls, but not both.
# Some providers may not support tool_calls in the same message as content.
# This is done to ensure compatibility with messages from other providers.
message_dict["content"] = ""
else:
message_dict["content"] = message.content
return message_dict
elif isinstance(message, SystemMessage):
return dict(role="system", content=message.content)
elif isinstance(message, ToolMessage):
return {
"role": "tool",
"content": message.content,
"name": message.name,
"tool_call_id": _convert_tool_call_id_to_mistral_compatible(
message.tool_call_id
),
}
else:
raise ValueError(f"Got unknown type {message}")
class ChatMistralAI(BaseChatModel):
"""A chat model that uses the MistralAI API."""
# The type for client and async_client is ignored because the type is not
# an Optional after the model is initialized and the model_validator
# is run.
client: httpx.Client = Field( # type: ignore # : meta private:
default=None, exclude=True
)
async_client: httpx.AsyncClient = Field( # type: ignore # : meta private:
default=None, exclude=True
) #: :meta private:
mistral_api_key: Optional[SecretStr] = Field(
alias="api_key",
default_factory=secret_from_env("MISTRAL_API_KEY", default=None),
)
endpoint: Optional[str] = Field(default=None, alias="base_url")
max_retries: int = 5
timeout: int = 120
max_concurrent_requests: int = 64
model: str = Field(default="mistral-small", alias="model_name")
temperature: float = 0.7
max_tokens: Optional[int] = None
top_p: float = 1
"""Decode using nucleus sampling: consider the smallest set of tokens whose
probability sum is at least top_p. Must be in the closed interval [0.0, 1.0]."""
random_seed: Optional[int] = None
safe_mode: Optional[bool] = None
streaming: bool = False
model_config = ConfigDict(
populate_by_name=True,
arbitrary_types_allowed=True,
)
@property
def _default_params(self) -> Dict[str, Any]:
"""Get the default parameters for calling the API."""
defaults = {
"model": self.model,
"temperature": self.temperature,
"max_tokens": self.max_tokens,
"top_p": self.top_p,
"random_seed": self.random_seed,
"safe_prompt": self.safe_mode,
}
filtered = {k: v for k, v in defaults.items() if v is not None}
return filtered
def _get_ls_params(
self, stop: Optional[List[str]] = None, **kwargs: Any
) -> LangSmithParams:
"""Get standard params for tracing."""
params = self._get_invocation_params(stop=stop, **kwargs)
ls_params = LangSmithParams(
ls_provider="mistral",
ls_model_name=self.model,
ls_model_type="chat",
ls_temperature=params.get("temperature", self.temperature),
)
if ls_max_tokens := params.get("max_tokens", self.max_tokens):
ls_params["ls_max_tokens"] = ls_max_tokens
if ls_stop := stop or params.get("stop", None):
ls_params["ls_stop"] = ls_stop
return ls_params
@property
def _client_params(self) -> Dict[str, Any]:
"""Get the parameters used for the client."""
return self._default_params
def completion_with_retry(
self, run_manager: Optional[CallbackManagerForLLMRun] = None, **kwargs: Any
) -> Any:
"""Use tenacity to retry the completion call."""
# retry_decorator = _create_retry_decorator(self, run_manager=run_manager)
# @retry_decorator
def _completion_with_retry(**kwargs: Any) -> Any:
if "stream" not in kwargs:
kwargs["stream"] = False
stream = kwargs["stream"]
if stream:
def iter_sse() -> Iterator[Dict]:
with connect_sse(
self.client, "POST", "/chat/completions", json=kwargs
) as event_source:
_raise_on_error(event_source.response)
for event in event_source.iter_sse():
if event.data == "[DONE]":
return
yield event.json()
return iter_sse()
else:
response = self.client.post(url="/chat/completions", json=kwargs)
_raise_on_error(response)
return response.json()
rtn = _completion_with_retry(**kwargs)
return rtn
def _combine_llm_outputs(self, llm_outputs: List[Optional[dict]]) -> dict:
overall_token_usage: dict = {}
for output in llm_outputs:
if output is None:
# Happens in streaming
continue
token_usage = output["token_usage"]
if token_usage is not None:
for k, v in token_usage.items():
if k in overall_token_usage:
overall_token_usage[k] += v
else:
overall_token_usage[k] = v
combined = {"token_usage": overall_token_usage, "model_name": self.model}
return combined
@model_validator(mode="after")
def validate_environment(self) -> Self:
"""Validate api key, python package exists, temperature, and top_p."""
if isinstance(self.mistral_api_key, SecretStr):
api_key_str: Optional[str] = self.mistral_api_key.get_secret_value()
else:
api_key_str = self.mistral_api_key
# todo: handle retries
base_url_str = (
self.endpoint
or os.environ.get("MISTRAL_BASE_URL")
or "https://api.mistral.ai/v1"
)
self.endpoint = base_url_str
if not self.client:
self.client = httpx.Client(
base_url=base_url_str,
headers={
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {api_key_str}",
},
timeout=self.timeout,
)
# todo: handle retries and max_concurrency
if not self.async_client:
self.async_client = httpx.AsyncClient(
base_url=base_url_str,
headers={
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {api_key_str}",
},
timeout=self.timeout,
)
if self.temperature is not None and not 0 <= self.temperature <= 1:
raise ValueError("temperature must be in the range [0.0, 1.0]")
if self.top_p is not None and not 0 <= self.top_p <= 1:
raise ValueError("top_p must be in the range [0.0, 1.0]")
return self
def _generate(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
stream: Optional[bool] = None,
**kwargs: Any,
) -> ChatResult:
should_stream = stream if stream is not None else self.streaming
if should_stream:
stream_iter = self._stream(
messages, stop=stop, run_manager=run_manager, **kwargs
)
return generate_from_stream(stream_iter)
message_dicts, params = self._create_message_dicts(messages, stop)
params = {**params, **kwargs}
response = self.completion_with_retry(
messages=message_dicts, run_manager=run_manager, **params
)
return self._create_chat_result(response)
def _create_chat_result(self, response: Dict) -> ChatResult:
generations = []
token_usage = response.get("usage", {})
for res in response["choices"]:
finish_reason = res.get("finish_reason")
message = _convert_mistral_chat_message_to_message(res["message"])
if token_usage and isinstance(message, AIMessage):
message.usage_metadata = {
"input_tokens": token_usage.get("prompt_tokens", 0),
"output_tokens": token_usage.get("completion_tokens", 0),
"total_tokens": token_usage.get("total_tokens", 0),
}
gen = ChatGeneration(
message=message,
generation_info={"finish_reason": finish_reason},
)
generations.append(gen)
llm_output = {"token_usage": token_usage, "model": self.model}
return ChatResult(generations=generations, llm_output=llm_output)
def _create_message_dicts(
self, messages: List[BaseMessage], stop: Optional[List[str]]
) -> Tuple[List[Dict], Dict[str, Any]]:
params = self._client_params
if stop is not None or "stop" in params:
if "stop" in params:
params.pop("stop")
logger.warning(
"Parameter `stop` not yet supported (https://docs.mistral.ai/api)"
)
message_dicts = [_convert_message_to_mistral_chat_message(m) for m in messages]
return message_dicts, params
def _stream(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> Iterator[ChatGenerationChunk]:
message_dicts, params = self._create_message_dicts(messages, stop)
params = {**params, **kwargs, "stream": True}
default_chunk_class: Type[BaseMessageChunk] = AIMessageChunk
for chunk in self.completion_with_retry(
messages=message_dicts, run_manager=run_manager, **params
):
if len(chunk["choices"]) == 0:
continue
new_chunk = _convert_chunk_to_message_chunk(chunk, default_chunk_class)
# make future chunks same type as first chunk
default_chunk_class = new_chunk.__class__
gen_chunk = ChatGenerationChunk(message=new_chunk)
if run_manager:
run_manager.on_llm_new_token(
token=cast(str, new_chunk.content), chunk=gen_chunk
)
yield gen_chunk
async def _astream(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> AsyncIterator[ChatGenerationChunk]:
message_dicts, params = self._create_message_dicts(messages, stop)
params = {**params, **kwargs, "stream": True}
default_chunk_class: Type[BaseMessageChunk] = AIMessageChunk
async for chunk in await acompletion_with_retry(
self, messages=message_dicts, run_manager=run_manager, **params
):
if len(chunk["choices"]) == 0:
continue
new_chunk = _convert_chunk_to_message_chunk(chunk, default_chunk_class)
# make future chunks same type as first chunk
default_chunk_class = new_chunk.__class__
gen_chunk = ChatGenerationChunk(message=new_chunk)
if run_manager:
await run_manager.on_llm_new_token(
token=cast(str, new_chunk.content), chunk=gen_chunk
)
yield gen_chunk
async def _agenerate(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
stream: Optional[bool] = None,
**kwargs: Any,
) -> ChatResult:
should_stream = stream if stream is not None else self.streaming
if should_stream:
stream_iter = self._astream(
messages=messages, stop=stop, run_manager=run_manager, **kwargs
)
return await agenerate_from_stream(stream_iter)
message_dicts, params = self._create_message_dicts(messages, stop)
params = {**params, **kwargs}
response = await acompletion_with_retry(
self, messages=message_dicts, run_manager=run_manager, **params
)
return self._create_chat_result(response)
def bind_tools(
self,
tools: Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]],
**kwargs: Any,
) -> Runnable[LanguageModelInput, BaseMessage]:
"""Bind tool-like objects to this chat model.
Assumes model is compatible with OpenAI tool-calling API.
Args:
tools: A list of tool definitions to bind to this chat model.
Supports any tool definition handled by
:meth:`langchain_core.utils.function_calling.convert_to_openai_tool`.
tool_choice: Which tool to require the model to call.
Must be the name of the single provided function or
"auto" to automatically determine which function to call
(if any), or a dict of the form:
{"type": "function", "function": {"name": <<tool_name>>}}.
kwargs: Any additional parameters are passed directly to
``self.bind(**kwargs)``.
"""
formatted_tools = [convert_to_openai_tool(tool) for tool in tools]
return super().bind(tools=formatted_tools, **kwargs)
def with_structured_output(
self,
schema: Optional[Union[Dict, Type]] = None,
*,
method: Literal["function_calling", "json_mode"] = "function_calling",
include_raw: bool = False,
**kwargs: Any,
) -> Runnable[LanguageModelInput, Union[Dict, BaseModel]]:
"""Model wrapper that returns outputs formatted to match the given schema.
Args:
schema:
The output schema. Can be passed in as:
- an OpenAI function/tool schema,
- a JSON Schema,
- a TypedDict class (support added in 0.1.12),
- or a Pydantic class.
If ``schema`` is a Pydantic class then the model output will be a
Pydantic instance of that class, and the model-generated fields will be
validated by the Pydantic class. Otherwise the model output will be a
dict and will not be validated. See :meth:`langchain_core.utils.function_calling.convert_to_openai_tool`
for more on how to properly specify types and descriptions of
schema fields when specifying a Pydantic or TypedDict class.
.. versionchanged:: 0.1.12
Added support for TypedDict class.
method:
The method for steering model generation, either "function_calling"
or "json_mode". If "function_calling" then the schema will be converted
to an OpenAI function and the returned model will make use of the
function-calling API. If "json_mode" then OpenAI's JSON mode will be
used. Note that if using "json_mode" then you must include instructions
for formatting the output into the desired schema into the model call.
include_raw:
If False then only the parsed structured output is returned. If
an error occurs during model output parsing it will be raised. If True
then both the raw model response (a BaseMessage) and the parsed model
response will be returned. If an error occurs during output parsing it
will be caught and returned as well. The final output is always a dict
with keys "raw", "parsed", and "parsing_error".
Returns:
A Runnable that takes same inputs as a :class:`langchain_core.language_models.chat.BaseChatModel`.
If ``include_raw`` is False and ``schema`` is a Pydantic class, Runnable outputs
an instance of ``schema`` (i.e., a Pydantic object).
Otherwise, if ``include_raw`` is False then Runnable outputs a dict.
If ``include_raw`` is True, then Runnable outputs a dict with keys:
- ``"raw"``: BaseMessage
- ``"parsed"``: None if there was a parsing error, otherwise the type depends on the ``schema`` as described above.
- ``"parsing_error"``: Optional[BaseException]
Example: schema=Pydantic class, method="function_calling", include_raw=False:
.. code-block:: python
from typing import Optional
from langchain_mistralai import ChatMistralAI
from pydantic import BaseModel, Field
class AnswerWithJustification(BaseModel):
'''An answer to the user question along with justification for the answer.'''
answer: str
# If we provide default values and/or descriptions for fields, these will be passed
# to the model. This is an important part of improving a model's ability to
# correctly return structured outputs.
justification: Optional[str] = Field(
default=None, description="A justification for the answer."
)
llm = ChatMistralAI(model="mistral-large-latest", temperature=0)
structured_llm = llm.with_structured_output(AnswerWithJustification)
structured_llm.invoke(
"What weighs more a pound of bricks or a pound of feathers"
)
# -> AnswerWithJustification(
# answer='They weigh the same',
# justification='Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume or density of the objects may differ.'
# )
Example: schema=Pydantic class, method="function_calling", include_raw=True:
.. code-block:: python
from langchain_mistralai import ChatMistralAI
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
'''An answer to the user question along with justification for the answer.'''
answer: str
justification: str
llm = ChatMistralAI(model="mistral-large-latest", temperature=0)
structured_llm = llm.with_structured_output(
AnswerWithJustification, include_raw=True
)
structured_llm.invoke(
"What weighs more a pound of bricks or a pound of feathers"
)
# -> {
# 'raw': AIMessage(content='', additional_kwargs={'tool_calls': [{'id': 'call_Ao02pnFYXD6GN1yzc0uXPsvF', 'function': {'arguments': '{"answer":"They weigh the same.","justification":"Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume or density of the objects may differ."}', 'name': 'AnswerWithJustification'}, 'type': 'function'}]}),
# 'parsed': AnswerWithJustification(answer='They weigh the same.', justification='Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume or density of the objects may differ.'),
# 'parsing_error': None
# }
Example: schema=TypedDict class, method="function_calling", include_raw=False:
.. code-block:: python
# IMPORTANT: If you are using Python <=3.8, you need to import Annotated
# from typing_extensions, not from typing.
from typing_extensions import Annotated, TypedDict
from langchain_mistralai import ChatMistralAI
class AnswerWithJustification(TypedDict):
'''An answer to the user question along with justification for the answer.'''
answer: str
justification: Annotated[
Optional[str], None, "A justification for the answer."
]
llm = ChatMistralAI(model="mistral-large-latest", temperature=0)
structured_llm = llm.with_structured_output(AnswerWithJustification)
structured_llm.invoke(
"What weighs more a pound of bricks or a pound of feathers"
)
# -> {
# 'answer': 'They weigh the same',
# 'justification': 'Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume and density of the two substances differ.'
# }
Example: schema=OpenAI function schema, method="function_calling", include_raw=False:
.. code-block:: python
from langchain_mistralai import ChatMistralAI
oai_schema = {
'name': 'AnswerWithJustification',
'description': 'An answer to the user question along with justification for the answer.',
'parameters': {
'type': 'object',
'properties': {
'answer': {'type': 'string'},
'justification': {'description': 'A justification for the answer.', 'type': 'string'}
},
'required': ['answer']
}
}
llm = ChatMistralAI(model="mistral-large-latest", temperature=0)
structured_llm = llm.with_structured_output(oai_schema)
structured_llm.invoke(
"What weighs more a pound of bricks or a pound of feathers"
)
# -> {
# 'answer': 'They weigh the same',
# 'justification': 'Both a pound of bricks and a pound of feathers weigh one pound. The weight is the same, but the volume and density of the two substances differ.'
# }
Example: schema=Pydantic class, method="json_mode", include_raw=True:
.. code-block::
from langchain_mistralai import ChatMistralAI
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
answer: str
justification: str
llm = ChatMistralAI(model="mistral-large-latest", temperature=0)
structured_llm = llm.with_structured_output(
AnswerWithJustification,
method="json_mode",
include_raw=True
)
structured_llm.invoke(
"Answer the following question. "
"Make sure to return a JSON blob with keys 'answer' and 'justification'.\n\n"
"What's heavier a pound of bricks or a pound of feathers?"
)
# -> {
# 'raw': AIMessage(content='{\n "answer": "They are both the same weight.",\n "justification": "Both a pound of bricks and a pound of feathers weigh one pound. The difference lies in the volume and density of the materials, not the weight." \n}'),
# 'parsed': AnswerWithJustification(answer='They are both the same weight.', justification='Both a pound of bricks and a pound of feathers weigh one pound. The difference lies in the volume and density of the materials, not the weight.'),
# 'parsing_error': None
# }
Example: schema=None, method="json_mode", include_raw=True:
.. code-block::
structured_llm = llm.with_structured_output(method="json_mode", include_raw=True)
structured_llm.invoke(
"Answer the following question. "
"Make sure to return a JSON blob with keys 'answer' and 'justification'.\n\n"
"What's heavier a pound of bricks or a pound of feathers?"
)
# -> {
# 'raw': AIMessage(content='{\n "answer": "They are both the same weight.",\n "justification": "Both a pound of bricks and a pound of feathers weigh one pound. The difference lies in the volume and density of the materials, not the weight." \n}'),
# 'parsed': {
# 'answer': 'They are both the same weight.',
# 'justification': 'Both a pound of bricks and a pound of feathers weigh one pound. The difference lies in the volume and density of the materials, not the weight.'
# },
# 'parsing_error': None
# }
""" # noqa: E501
if kwargs:
raise ValueError(f"Received unsupported arguments {kwargs}")
is_pydantic_schema = isinstance(schema, type) and is_basemodel_subclass(schema)
if method == "function_calling":
if schema is None:
raise ValueError(
"schema must be specified when method is 'function_calling'. "
"Received None."
)
# TODO: Update to pass in tool name as tool_choice if/when Mistral supports
# specifying a tool.
llm = self.bind_tools([schema], tool_choice="any")
if is_pydantic_schema:
output_parser: OutputParserLike = PydanticToolsParser(
tools=[schema], # type: ignore[list-item]
first_tool_only=True, # type: ignore[list-item]
)
else:
key_name = convert_to_openai_tool(schema)["function"]["name"]
output_parser = JsonOutputKeyToolsParser(
key_name=key_name, first_tool_only=True
)
elif method == "json_mode":
llm = self.bind(response_format={"type": "json_object"})
output_parser = (
PydanticOutputParser(pydantic_object=schema) # type: ignore[type-var, arg-type]
if is_pydantic_schema
else JsonOutputParser()
)
if include_raw:
parser_assign = RunnablePassthrough.assign(
parsed=itemgetter("raw") | output_parser, parsing_error=lambda _: None
)
parser_none = RunnablePassthrough.assign(parsed=lambda _: None)
parser_with_fallback = parser_assign.with_fallbacks(
[parser_none], exception_key="parsing_error"
)
return RunnableMap(raw=llm) | parser_with_fallback
else:
return llm | output_parser
@property
def _identifying_params(self) -> Dict[str, Any]:
"""Get the identifying parameters."""
return self._default_params
@property
def _llm_type(self) -> str:
"""Return type of chat model."""
return "mistralai-chat"
@property
def lc_secrets(self) -> Dict[str, str]:
return {"mistral_api_key": "MISTRAL_API_KEY"}
@classmethod
def is_lc_serializable(cls) -> bool:
"""Return whether this model can be serialized by Langchain."""
return True
@classmethod
def get_lc_namespace(cls) -> List[str]:
"""Get the namespace of the langchain object."""
return ["langchain", "chat_models", "mistralai"]
|
0 | lc_public_repos/langchain/libs/partners/mistralai | lc_public_repos/langchain/libs/partners/mistralai/langchain_mistralai/embeddings.py | import asyncio
import logging
import warnings
from typing import Iterable, List
import httpx
from langchain_core.embeddings import Embeddings
from langchain_core.utils import (
secret_from_env,
)
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,
model_validator,
)
from tokenizers import Tokenizer # type: ignore
from typing_extensions import Self
logger = logging.getLogger(__name__)
MAX_TOKENS = 16_000
"""A batching parameter for the Mistral API. This is NOT the maximum number of tokens
accepted by the embedding model for each document/chunk, but rather the maximum number
of tokens that can be sent in a single request to the Mistral API (across multiple
documents/chunks)"""
class DummyTokenizer:
"""Dummy tokenizer for when tokenizer cannot be accessed (e.g., via Huggingface)"""
def encode_batch(self, texts: List[str]) -> List[List[str]]:
return [list(text) for text in texts]
class MistralAIEmbeddings(BaseModel, Embeddings):
"""MistralAI embedding model integration.
Setup:
Install ``langchain_mistralai`` and set environment variable
``MISTRAL_API_KEY``.
.. code-block:: bash
pip install -U langchain_mistralai
export MISTRAL_API_KEY="your-api-key"
Key init args — completion params:
model: str
Name of MistralAI model to use.
Key init args — client params:
api_key: Optional[SecretStr]
The API key for the MistralAI API. If not provided, it will be read from the
environment variable `MISTRAL_API_KEY`.
max_retries: int
The number of times to retry a request if it fails.
timeout: int
The number of seconds to wait for a response before timing out.
max_concurrent_requests: int
The maximum number of concurrent requests to make to the Mistral API.
See full list of supported init args and their descriptions in the params section.
Instantiate:
.. code-block:: python
from __module_name__ import MistralAIEmbeddings
embed = MistralAIEmbeddings(
model="mistral-embed",
# api_key="...",
# other params...
)
Embed single text:
.. code-block:: python
input_text = "The meaning of life is 42"
vector = embed.embed_query(input_text)
print(vector[:3])
.. code-block:: python
[-0.024603435769677162, -0.007543657906353474, 0.0039630369283258915]
Embed multiple text:
.. code-block:: python
input_texts = ["Document 1...", "Document 2..."]
vectors = embed.embed_documents(input_texts)
print(len(vectors))
# The first 3 coordinates for the first vector
print(vectors[0][:3])
.. code-block:: python
2
[-0.024603435769677162, -0.007543657906353474, 0.0039630369283258915]
Async:
.. code-block:: python
vector = await embed.aembed_query(input_text)
print(vector[:3])
# multiple:
# await embed.aembed_documents(input_texts)
.. code-block:: python
[-0.009100092574954033, 0.005071679595857859, -0.0029193938244134188]
"""
# The type for client and async_client is ignored because the type is not
# an Optional after the model is initialized and the model_validator
# is run.
client: httpx.Client = Field(default=None) # type: ignore # : :meta private:
async_client: httpx.AsyncClient = Field( # type: ignore # : meta private:
default=None
)
mistral_api_key: SecretStr = Field(
alias="api_key",
default_factory=secret_from_env("MISTRAL_API_KEY", default=""),
)
endpoint: str = "https://api.mistral.ai/v1/"
max_retries: int = 5
timeout: int = 120
max_concurrent_requests: int = 64
tokenizer: Tokenizer = Field(default=None)
model: str = "mistral-embed"
model_config = ConfigDict(
extra="forbid",
arbitrary_types_allowed=True,
populate_by_name=True,
)
@model_validator(mode="after")
def validate_environment(self) -> Self:
"""Validate configuration."""
api_key_str = self.mistral_api_key.get_secret_value()
# todo: handle retries
if not self.client:
self.client = httpx.Client(
base_url=self.endpoint,
headers={
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {api_key_str}",
},
timeout=self.timeout,
)
# todo: handle retries and max_concurrency
if not self.async_client:
self.async_client = httpx.AsyncClient(
base_url=self.endpoint,
headers={
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {api_key_str}",
},
timeout=self.timeout,
)
if self.tokenizer is None:
try:
self.tokenizer = Tokenizer.from_pretrained(
"mistralai/Mixtral-8x7B-v0.1"
)
except IOError: # huggingface_hub GatedRepoError
warnings.warn(
"Could not download mistral tokenizer from Huggingface for "
"calculating batch sizes. Set a Huggingface token via the "
"HF_TOKEN environment variable to download the real tokenizer. "
"Falling back to a dummy tokenizer that uses `len()`."
)
self.tokenizer = DummyTokenizer()
return self
def _get_batches(self, texts: List[str]) -> Iterable[List[str]]:
"""Split a list of texts into batches of less than 16k tokens
for Mistral API."""
batch: List[str] = []
batch_tokens = 0
text_token_lengths = [
len(encoded) for encoded in self.tokenizer.encode_batch(texts)
]
for text, text_tokens in zip(texts, text_token_lengths):
if batch_tokens + text_tokens > MAX_TOKENS:
if len(batch) > 0:
# edge case where first batch exceeds max tokens
# should not yield an empty batch.
yield batch
batch = [text]
batch_tokens = text_tokens
else:
batch.append(text)
batch_tokens += text_tokens
if batch:
yield batch
def embed_documents(self, texts: List[str]) -> List[List[float]]:
"""Embed a list of document texts.
Args:
texts: The list of texts to embed.
Returns:
List of embeddings, one for each text.
"""
try:
batch_responses = (
self.client.post(
url="/embeddings",
json=dict(
model=self.model,
input=batch,
),
)
for batch in self._get_batches(texts)
)
return [
list(map(float, embedding_obj["embedding"]))
for response in batch_responses
for embedding_obj in response.json()["data"]
]
except Exception as e:
logger.error(f"An error occurred with MistralAI: {e}")
raise
async def aembed_documents(self, texts: List[str]) -> List[List[float]]:
"""Embed a list of document texts.
Args:
texts: The list of texts to embed.
Returns:
List of embeddings, one for each text.
"""
try:
batch_responses = await asyncio.gather(
*[
self.async_client.post(
url="/embeddings",
json=dict(
model=self.model,
input=batch,
),
)
for batch in self._get_batches(texts)
]
)
return [
list(map(float, embedding_obj["embedding"]))
for response in batch_responses
for embedding_obj in response.json()["data"]
]
except Exception as e:
logger.error(f"An error occurred with MistralAI: {e}")
raise
def embed_query(self, text: str) -> List[float]:
"""Embed a single query text.
Args:
text: The text to embed.
Returns:
Embedding for the text.
"""
return self.embed_documents([text])[0]
async def aembed_query(self, text: str) -> List[float]:
"""Embed a single query text.
Args:
text: The text to embed.
Returns:
Embedding for the text.
"""
return (await self.aembed_documents([text]))[0]
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.