gunicorn, restart on idle, fix model lock
This commit is contained in:
mertalev
parent
42f5f31b06
commit
1280c6aeea
6 changed files with 376 additions and 414 deletions
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@ -21,8 +21,11 @@ ENV NODE_ENV=production \
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PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PATH="/opt/venv/bin:$PATH" \
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PYTHONPATH=/usr/src
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PYTHONPATH=/usr/src \
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MACHINE_LEARNING_HOST=0.0.0.0 \
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MACHINE_LEARNING_PORT=3003
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COPY --from=builder /opt/venv /opt/venv
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COPY app .
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ENTRYPOINT ["python", "-m", "app.main"]
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COPY entrypoint.sh .
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ENTRYPOINT ["./entrypoint.sh"]
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@ -19,6 +19,7 @@ class Settings(BaseSettings):
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workers: int = 1
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min_face_score: float = 0.7
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test_full: bool = False
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shutdown_poll_s: int = 10
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class Config(BaseSettings.Config):
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env_prefix = "MACHINE_LEARNING_"
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@ -1,16 +1,20 @@
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import asyncio
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import os
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import sys
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import time
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from concurrent.futures import ThreadPoolExecutor
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from io import BytesIO
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from typing import Any
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import cv2
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import numpy as np
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import uvicorn
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from fastapi import Body, Depends, FastAPI
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from PIL import Image
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from app.models.cache import ModelCache
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from .config import settings
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from .models.base import InferenceModel
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from .models.cache import ModelCache
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from .schemas import (
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EmbeddingResponse,
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FaceResponse,
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@ -25,29 +29,16 @@ app = FastAPI()
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def init_state() -> None:
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app.state.last_called = None
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app.state.model_cache = ModelCache(ttl=settings.model_ttl, revalidate=settings.model_ttl > 0)
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async def load_models() -> None:
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models = [
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(settings.classification_model, ModelType.IMAGE_CLASSIFICATION),
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(settings.clip_image_model, ModelType.CLIP),
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(settings.clip_text_model, ModelType.CLIP),
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(settings.facial_recognition_model, ModelType.FACIAL_RECOGNITION),
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]
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# Get all models
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for model_name, model_type in models:
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if settings.eager_startup:
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await app.state.model_cache.get(model_name, model_type)
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else:
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InferenceModel.from_model_type(model_type, model_name)
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app.state.thread_pool = ThreadPoolExecutor()
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@app.on_event("startup")
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async def startup_event() -> None:
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init_state()
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await load_models()
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if settings.model_ttl > 0:
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await schedule_idle_shutdown()
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def dep_pil_image(byte_image: bytes = Body(...)) -> Image.Image:
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@ -78,7 +69,7 @@ async def image_classification(
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image: Image.Image = Depends(dep_pil_image),
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) -> list[str]:
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model = await app.state.model_cache.get(settings.classification_model, ModelType.IMAGE_CLASSIFICATION)
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labels = model.predict(image)
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labels = await run_in_thread(model, image)
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return labels
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@ -91,7 +82,7 @@ async def clip_encode_image(
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image: Image.Image = Depends(dep_pil_image),
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) -> list[float]:
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model = await app.state.model_cache.get(settings.clip_image_model, ModelType.CLIP)
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embedding = model.predict(image)
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embedding = await run_in_thread(model, image)
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return embedding
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@ -102,7 +93,7 @@ async def clip_encode_image(
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)
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async def clip_encode_text(payload: TextModelRequest) -> list[float]:
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model = await app.state.model_cache.get(settings.clip_text_model, ModelType.CLIP)
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embedding = model.predict(payload.text)
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embedding = await run_in_thread(model, payload.text)
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return embedding
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@ -115,16 +106,26 @@ async def facial_recognition(
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image: cv2.Mat = Depends(dep_cv_image),
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) -> list[dict[str, Any]]:
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model = await app.state.model_cache.get(settings.facial_recognition_model, ModelType.FACIAL_RECOGNITION)
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faces = model.predict(image)
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faces = await run_in_thread(model, image)
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return faces
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if __name__ == "__main__":
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is_dev = os.getenv("NODE_ENV") == "development"
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uvicorn.run(
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"app.main:app",
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host=settings.host,
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port=settings.port,
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reload=is_dev,
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workers=settings.workers,
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)
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async def run_in_thread(model: InferenceModel, inputs) -> Any:
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outputs = await asyncio.get_running_loop().run_in_executor(app.state.thread_pool, lambda: model.predict(inputs))
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app.state.last_called = time.time()
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return outputs
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async def schedule_idle_shutdown() -> None:
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async def idle_shutdown() -> None:
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while True:
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if app.state.last_called is not None and time.time() - app.state.last_called > settings.model_ttl:
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sys.stderr.close()
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sys.stdout.close()
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sys.stdout = sys.stderr = open(os.devnull, "w")
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exit()
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await asyncio.sleep(settings.shutdown_poll_s)
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task = asyncio.get_event_loop().create_task(idle_shutdown())
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asyncio.ensure_future(task)
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3
machine-learning/entrypoint.sh
Executable file
3
machine-learning/entrypoint.sh
Executable file
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@ -0,0 +1,3 @@
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#!/bin/bash
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gunicorn -k uvicorn.workers.UvicornWorker -w 1 -b $MACHINE_LEARNING_HOST:$MACHINE_LEARNING_PORT app.main:app
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713
machine-learning/poetry.lock
generated
713
machine-learning/poetry.lock
generated
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@ -42,13 +42,13 @@ tests = ["pytest"]
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[[package]]
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name = "anyio"
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version = "3.7.0"
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version = "3.7.1"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "anyio-3.7.0-py3-none-any.whl", hash = "sha256:eddca883c4175f14df8aedce21054bfca3adb70ffe76a9f607aef9d7fa2ea7f0"},
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{file = "anyio-3.7.0.tar.gz", hash = "sha256:275d9973793619a5374e1c89a4f4ad3f4b0a5510a2b5b939444bee8f4c4d37ce"},
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{file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"},
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{file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
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]
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[package.dependencies]
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@ -56,42 +56,39 @@ idna = ">=2.8"
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sniffio = ">=1.1"
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[package.extras]
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doc = ["Sphinx (>=6.1.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme", "sphinxcontrib-jquery"]
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doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
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test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
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trio = ["trio (<0.22)"]
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[[package]]
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name = "black"
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version = "23.3.0"
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version = "23.7.0"
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description = "The uncompromising code formatter."
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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files = [
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]
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[package.dependencies]
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@ -298,97 +295,97 @@ pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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version = "3.1.0"
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version = "3.2.0"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7.0"
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files = [
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{file = "charset-normalizer-3.1.0.tar.gz", hash = "sha256:34e0a2f9c370eb95597aae63bf85eb5e96826d81e3dcf88b8886012906f509b5"},
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[[package]]
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|
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description = "Composable command line interface toolkit"
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[package.dependencies]
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|
@ -580,52 +577,13 @@ files = [
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[[package]]
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[[package]]
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@ -1112,13 +1070,13 @@ files = [
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[[package]]
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||||
name = "httpcore"
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version = "0.17.2"
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version = "0.17.3"
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[package.dependencies]
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{file = "httptools-0.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:38f3cafedd6aa20ae05f81f2e616ea6f92116c8a0f8dcb79dc798df3356836e2"},
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{file = "httptools-0.6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:35a541579bed0270d1ac10245a3e71e5beeb1903b5fbbc8d8b4d4e728d48ff1d"},
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{file = "httptools-0.6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fb4a608c631f7dcbdf986f40af7a030521a10ba6bc3d36b28c1dc9e9035a3c0"},
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{file = "httptools-0.6.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:73e9d66a5a28b2d5d9fbd9e197a31edd02be310186db423b28e6052472dc8201"},
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{file = "httptools-0.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:22c01fcd53648162730a71c42842f73b50f989daae36534c818b3f5050b54589"},
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{file = "httptools-0.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b703d15dbe082cc23266bf5d9448e764c7cb3fcfe7cb358d79d3fd8248673ef9"},
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{file = "httptools-0.6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82c723ed5982f8ead00f8e7605c53e55ffe47c47465d878305ebe0082b6a1755"},
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||||
{file = "httptools-0.6.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b0a816bb425c116a160fbc6f34cece097fd22ece15059d68932af686520966bd"},
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||||
{file = "httptools-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:dea66d94e5a3f68c5e9d86e0894653b87d952e624845e0b0e3ad1c733c6cc75d"},
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||||
{file = "httptools-0.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:23b09537086a5a611fad5696fc8963d67c7e7f98cb329d38ee114d588b0b74cd"},
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||||
{file = "httptools-0.6.0.tar.gz", hash = "sha256:9fc6e409ad38cbd68b177cd5158fc4042c796b82ca88d99ec78f07bed6c6b796"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
|
|
@ -1209,13 +1161,13 @@ socks = ["socksio (==1.*)"]
|
|||
|
||||
[[package]]
|
||||
name = "huggingface-hub"
|
||||
version = "0.15.1"
|
||||
version = "0.16.4"
|
||||
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
|
||||
{file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
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||||
{file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
|
||||
{file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
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||||
{file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -1228,15 +1180,16 @@ tqdm = ">=4.42.1"
|
|||
typing-extensions = ">=3.7.4.3"
|
||||
|
||||
[package.extras]
|
||||
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
|
||||
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
|
||||
cli = ["InquirerPy (==0.3.4)"]
|
||||
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
|
||||
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
|
||||
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
|
||||
inference = ["aiohttp", "pydantic"]
|
||||
quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
|
||||
tensorflow = ["graphviz", "pydot", "tensorflow"]
|
||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
|
||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
|
||||
torch = ["torch"]
|
||||
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
|
||||
typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
|
||||
|
||||
[[package]]
|
||||
name = "humanfriendly"
|
||||
|
|
@ -1360,13 +1313,13 @@ i18n = ["Babel (>=2.7)"]
|
|||
|
||||
[[package]]
|
||||
name = "joblib"
|
||||
version = "1.2.0"
|
||||
version = "1.3.1"
|
||||
description = "Lightweight pipelining with Python functions"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "joblib-1.2.0-py3-none-any.whl", hash = "sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385"},
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||||
{file = "joblib-1.2.0.tar.gz", hash = "sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018"},
|
||||
{file = "joblib-1.3.1-py3-none-any.whl", hash = "sha256:89cf0529520e01b3de7ac7b74a8102c90d16d54c64b5dd98cafcd14307fdf915"},
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||||
{file = "joblib-1.3.1.tar.gz", hash = "sha256:1f937906df65329ba98013dc9692fe22a4c5e4a648112de500508b18a21b41e3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -1448,18 +1401,18 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "lazy-loader"
|
||||
version = "0.2"
|
||||
version = "0.3"
|
||||
description = "lazy_loader"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "lazy_loader-0.2-py3-none-any.whl", hash = "sha256:c35875f815c340f823ce3271ed645045397213f961b40ad0c0d395c3f5218eeb"},
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{file = "lazy_loader-0.2.tar.gz", hash = "sha256:0edc7a5175c400acb108f283749951fefdadedeb00adcec6e88b974a9254f18a"},
|
||||
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|
||||
{file = "lazy_loader-0.3.tar.gz", hash = "sha256:3b68898e34f5b2a29daaaac172c6555512d0f32074f147e2254e4a6d9d838f37"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
lint = ["pre-commit (>=3.1)"]
|
||||
test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
|
||||
lint = ["pre-commit (>=3.3)"]
|
||||
test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "locust"
|
||||
|
|
@ -1549,52 +1502,52 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "matplotlib"
|
||||
version = "3.7.1"
|
||||
version = "3.7.2"
|
||||
description = "Python plotting package"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
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||||
{file = "matplotlib-3.7.1-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:95cbc13c1fc6844ab8812a525bbc237fa1470863ff3dace7352e910519e194b1"},
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[package.dependencies]
|
||||
|
|
@ -1605,7 +1558,7 @@ kiwisolver = ">=1.0.1"
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|||
numpy = ">=1.20"
|
||||
packaging = ">=20.0"
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||||
pillow = ">=6.2.0"
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pyparsing = ">=2.3.1"
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pyparsing = ">=2.3.1,<3.1"
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||||
python-dateutil = ">=2.7"
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||||
|
||||
[[package]]
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||||
|
|
@ -1798,36 +1751,36 @@ twitter = ["twython"]
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|||
|
||||
[[package]]
|
||||
name = "numpy"
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||||
version = "1.25.0"
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version = "1.25.1"
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description = "Fundamental package for array computing in Python"
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optional = false
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||||
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||||
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||||
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|
||||
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||||
{file = "numpy-1.25.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d412c1697c3853c6fc3cb9751b4915859c7afe6a277c2bf00acf287d56c4e625"},
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||||
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{file = "numpy-1.25.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f76aebc3358ade9eacf9bc2bb8ae589863a4f911611694103af05346637df1b7"},
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||||
{file = "numpy-1.25.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:35a9527c977b924042170a0887de727cd84ff179e478481404c5dc66b4170009"},
|
||||
{file = "numpy-1.25.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d3fe3dd0506a28493d82dc3cf254be8cd0d26f4008a417385cbf1ae95b54004"},
|
||||
{file = "numpy-1.25.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:012097b5b0d00a11070e8f2e261128c44157a8689f7dedcf35576e525893f4fe"},
|
||||
{file = "numpy-1.25.1.tar.gz", hash = "sha256:9a3a9f3a61480cc086117b426a8bd86869c213fc4072e606f01c4e4b66eb92bf"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -1921,25 +1874,25 @@ sympy = "*"
|
|||
|
||||
[[package]]
|
||||
name = "opencv-python-headless"
|
||||
version = "4.7.0.72"
|
||||
version = "4.8.0.74"
|
||||
description = "Wrapper package for OpenCV python bindings."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "opencv-python-headless-4.7.0.72.tar.gz", hash = "sha256:eea59caa92b28b197f9d2a2dd8275ca3869718b2a857c8e53203de6ef3f9f4db"},
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{file = "opencv_python_headless-4.7.0.72-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f448aea686069474e701223a2ed192df95f501a092b5e06e39171b4927564692"},
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
{file = "opencv_python_headless-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8a88620c43a5d17f7df8317767da93b935656ab9236df92e1e2e0dd23195756"},
|
||||
{file = "opencv_python_headless-4.8.0.74-cp37-abi3-win32.whl", hash = "sha256:b52a6eb2d92fff0f660e6aade958cb4373fbfcbafa0488f7ae88c4e6ce3f47f6"},
|
||||
{file = "opencv_python_headless-4.8.0.74-cp37-abi3-win_amd64.whl", hash = "sha256:19d30269ae710f67e0ae549361a68b755e28599a572d5f72d0bbb177ab438a28"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = [
|
||||
{version = ">=1.21.2", markers = "python_version >= \"3.10\""},
|
||||
{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
|
||||
{version = ">=1.22.0", markers = "python_version >= \"3.11\""},
|
||||
{version = ">=1.23.5", markers = "python_version >= \"3.11\""},
|
||||
{version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""},
|
||||
{version = ">=1.17.0", markers = "python_version >= \"3.7\""},
|
||||
{version = ">=1.17.3", markers = "python_version >= \"3.8\""},
|
||||
|
|
@ -2048,13 +2001,13 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
|
|||
|
||||
[[package]]
|
||||
name = "platformdirs"
|
||||
version = "3.8.0"
|
||||
version = "3.8.1"
|
||||
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
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||||
{file = "platformdirs-3.8.0-py3-none-any.whl", hash = "sha256:ca9ed98ce73076ba72e092b23d3c93ea6c4e186b3f1c3dad6edd98ff6ffcca2e"},
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{file = "platformdirs-3.8.0.tar.gz", hash = "sha256:b0cabcb11063d21a0b261d557acb0a9d2126350e63b70cdf7db6347baea456dc"},
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{file = "platformdirs-3.8.1-py3-none-any.whl", hash = "sha256:cec7b889196b9144d088e4c57d9ceef7374f6c39694ad1577a0aab50d27ea28c"},
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{file = "platformdirs-3.8.1.tar.gz", hash = "sha256:f87ca4fcff7d2b0f81c6a748a77973d7af0f4d526f98f308477c3c436c74d528"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
|
|
@ -2094,24 +2047,24 @@ tests = ["pytest", "pytest-cov", "pytest-lazy-fixture"]
|
|||
|
||||
[[package]]
|
||||
name = "protobuf"
|
||||
version = "4.23.3"
|
||||
version = "4.23.4"
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||||
description = ""
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||||
optional = false
|
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python-versions = ">=3.7"
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||||
files = [
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{file = "protobuf-4.23.3-cp310-abi3-win32.whl", hash = "sha256:514b6bbd54a41ca50c86dd5ad6488afe9505901b3557c5e0f7823a0cf67106fb"},
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{file = "protobuf-4.23.4-cp39-cp39-win_amd64.whl", hash = "sha256:0a5759f5696895de8cc913f084e27fd4125e8fb0914bb729a17816a33819f474"},
|
||||
{file = "protobuf-4.23.4-py3-none-any.whl", hash = "sha256:e9d0be5bf34b275b9f87ba7407796556abeeba635455d036c7351f7c183ef8ff"},
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||||
{file = "protobuf-4.23.4.tar.gz", hash = "sha256:ccd9430c0719dce806b93f89c91de7977304729e55377f872a92465d548329a9"},
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||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -2153,47 +2106,47 @@ files = [
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|||
|
||||
[[package]]
|
||||
name = "pydantic"
|
||||
version = "1.10.9"
|
||||
version = "1.10.11"
|
||||
description = "Data validation and settings management using python type hints"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
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||||
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[package.dependencies]
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|
@ -2205,13 +2158,13 @@ email = ["email-validator (>=1.0.3)"]
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[[package]]
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description = "pyparsing module - Classes and methods to define and execute parsing grammars"
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optional = false
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[package.extras]
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[[package]]
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{file = "scikit_learn-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:552fd1b6ee22900cf1780d7386a554bb96949e9a359999177cf30211e6b20df6"},
|
||||
{file = "scikit_learn-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:79970a6d759eb00a62266a31e2637d07d2d28446fca8079cf9afa7c07b0427f8"},
|
||||
{file = "scikit_learn-1.3.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:850a00b559e636b23901aabbe79b73dc604b4e4248ba9e2d6e72f95063765603"},
|
||||
{file = "scikit_learn-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ee04835fb016e8062ee9fe9074aef9b82e430504e420bff51e3e5fffe72750ca"},
|
||||
{file = "scikit_learn-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d953531f5d9f00c90c34fa3b7d7cfb43ecff4c605dac9e4255a20b114a27369"},
|
||||
{file = "scikit_learn-1.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:151ac2bf65ccf363664a689b8beafc9e6aae36263db114b4ca06fbbbf827444a"},
|
||||
{file = "scikit_learn-1.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6a885a9edc9c0a341cab27ec4f8a6c58b35f3d449c9d2503a6fd23e06bbd4f6a"},
|
||||
{file = "scikit_learn-1.3.0-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:9877af9c6d1b15486e18a94101b742e9d0d2f343d35a634e337411ddb57783f3"},
|
||||
{file = "scikit_learn-1.3.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c470f53cea065ff3d588050955c492793bb50c19a92923490d18fcb637f6383a"},
|
||||
{file = "scikit_learn-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd6e2d7389542eae01077a1ee0318c4fec20c66c957f45c7aac0c6eb0fe3c612"},
|
||||
{file = "scikit_learn-1.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:3a11936adbc379a6061ea32fa03338d4ca7248d86dd507c81e13af428a5bc1db"},
|
||||
{file = "scikit_learn-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:998d38fcec96584deee1e79cd127469b3ad6fefd1ea6c2dfc54e8db367eb396b"},
|
||||
{file = "scikit_learn-1.3.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:ded35e810438a527e17623ac6deae3b360134345b7c598175ab7741720d7ffa7"},
|
||||
{file = "scikit_learn-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e8102d5036e28d08ab47166b48c8d5e5810704daecf3a476a4282d562be9a28"},
|
||||
{file = "scikit_learn-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7617164951c422747e7c32be4afa15d75ad8044f42e7d70d3e2e0429a50e6718"},
|
||||
{file = "scikit_learn-1.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:1d54fb9e6038284548072df22fd34777e434153f7ffac72c8596f2d6987110dd"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
joblib = ">=1.1.1"
|
||||
numpy = ">=1.17.3"
|
||||
scipy = ">=1.3.2"
|
||||
scipy = ">=1.5.0"
|
||||
threadpoolctl = ">=2.0.0"
|
||||
|
||||
[package.extras]
|
||||
benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
|
||||
docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
|
||||
examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
|
||||
tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=5.3.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"]
|
||||
docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.10.1)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
|
||||
examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
|
||||
tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.16.2)"]
|
||||
|
||||
[[package]]
|
||||
name = "scipy"
|
||||
|
|
@ -3029,13 +2982,13 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "tifffile"
|
||||
version = "2023.4.12"
|
||||
version = "2023.7.10"
|
||||
description = "Read and write TIFF files"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "tifffile-2023.4.12-py3-none-any.whl", hash = "sha256:3161954746fe32c4f4244d0fb2eb0a272f3a3760b78882a42faa83ac5e6e0b74"},
|
||||
{file = "tifffile-2023.4.12.tar.gz", hash = "sha256:2fa99f9890caab919d932a0acaa9d0f5843dc2ef3594e212963932e20713badd"},
|
||||
{file = "tifffile-2023.7.10-py3-none-any.whl", hash = "sha256:94dfdec321ace96abbfe872a66cfd824800c099a2db558443453eebc2c11b304"},
|
||||
{file = "tifffile-2023.7.10.tar.gz", hash = "sha256:c06ec460926d16796eeee249a560bcdddf243daae36ac62af3c84a953cd60b4a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3298,13 +3251,13 @@ vision = ["Pillow"]
|
|||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.6.3"
|
||||
version = "4.7.1"
|
||||
description = "Backported and Experimental Type Hints for Python 3.7+"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "typing_extensions-4.6.3-py3-none-any.whl", hash = "sha256:88a4153d8505aabbb4e13aacb7c486c2b4a33ca3b3f807914a9b4c844c471c26"},
|
||||
{file = "typing_extensions-4.6.3.tar.gz", hash = "sha256:d91d5919357fe7f681a9f2b5b4cb2a5f1ef0a1e9f59c4d8ff0d3491e05c0ffd5"},
|
||||
{file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"},
|
||||
{file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -3602,4 +3555,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.11"
|
||||
content-hash = "e0ac37404f0c11ee5b478d2c7113986a2d40d02e2b985ff18846374a65025a26"
|
||||
content-hash = "5991c731fdf705885166c7d74d322b55f262b5bf8dc36178dbccaf07413490dd"
|
||||
|
|
|
|||
|
|
@ -24,6 +24,7 @@ pydantic = "^1.10.8"
|
|||
aiocache = "^0.12.1"
|
||||
pytest-cov = "^4.1.0"
|
||||
ruff = "^0.0.272"
|
||||
gunicorn = "^20.1.0"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
mypy = "^1.3.0"
|
||||
|
|
|
|||
Loading…
Reference in a new issue