this repo has no description
Add deepseek handwriting demo web app
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+4
deepseek/pyproject.toml
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deepseek/pyproject.toml
···
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"tqdm",
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"editdistance",
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"matplotlib",
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"fastapi>=0.111",
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"uvicorn[standard]>=0.29",
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"python-multipart>=0.0.9",
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]
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[project.scripts]
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train-deepseek = "src.train:main"
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evaluate-deepseek = "src.eval:main"
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serve-deepseek = "src.app:main"
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[build-system]
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requires = ["hatchling"]
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deepseek/src/app.py
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deepseek/src/app.py
···
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"""
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FastAPI web app for DeepSeek-OCR-2 Typst inference.
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Usage (from deepseek/ subdir):
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uv run serve-deepseek [--checkpoint checkpoints/deepseek-ocr2/final] [--host 127.0.0.1] [--port 8000]
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"""
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import argparse
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import io
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import os
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import shutil
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import sys
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import tempfile
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from contextlib import asynccontextmanager
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
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import unsloth # noqa: F401 must be early
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os.environ["UNSLOTH_WARN_UNINITIALIZED"] = "0"
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from fastapi import FastAPI, HTTPException, Request
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from fastapi.responses import HTMLResponse, JSONResponse
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from PIL import Image
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from transformers import AutoModel
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from unsloth import FastVisionModel
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_state: dict = {}
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_PROMPT = "<image>\nFree OCR. "
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def _load_model(checkpoint: str) -> None:
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model, tokenizer = FastVisionModel.from_pretrained(
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checkpoint,
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load_in_4bit=False,
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auto_model=AutoModel,
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trust_remote_code=True,
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unsloth_force_compile=True,
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use_gradient_checkpointing="unsloth",
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)
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FastVisionModel.for_inference(model)
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model.eval()
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_state["model"] = model
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_state["tokenizer"] = tokenizer
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def _infer(img: Image.Image) -> str:
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model = _state["model"]
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tokenizer = _state["tokenizer"]
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with tempfile.TemporaryDirectory() as tmpdir:
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tmp_img = os.path.join(tmpdir, "img.png")
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img.save(tmp_img)
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result = model.infer(
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tokenizer,
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prompt=_PROMPT,
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image_file=tmp_img,
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output_path=tmpdir,
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image_size=768,
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base_size=1024,
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crop_mode=True,
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save_results=False,
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test_compress=False,
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eval_mode=True,
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)
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return result or ""
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def create_app(checkpoint: str) -> FastAPI:
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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print(f"Loading model from {checkpoint} ...")
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_load_model(checkpoint)
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print("Model ready.")
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yield
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app = FastAPI(lifespan=lifespan)
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# Reuse the static files from the parent repo
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static_dir = Path(__file__).parent.parent.parent / "src" / "static"
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from fastapi.staticfiles import StaticFiles
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app.mount("/static", StaticFiles(directory=static_dir), name="static")
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@app.get("/", response_class=HTMLResponse)
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async def index():
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return (static_dir / "index.html").read_text()
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@app.post("/infer")
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async def infer(request: Request):
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if "model" not in _state:
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raise HTTPException(503, "Model not loaded")
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body = await request.body()
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if not body:
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raise HTTPException(400, "Empty body")
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try:
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img = Image.open(io.BytesIO(body)).convert("RGB")
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except Exception as e:
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raise HTTPException(400, f"Invalid image: {e}")
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result = _infer(img)
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return JSONResponse({"typst": result})
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return app
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def main() -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument("--checkpoint", default="checkpoints/deepseek-ocr2/final")
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parser.add_argument("--host", default="127.0.0.1")
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parser.add_argument("--port", type=int, default=8000)
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args = parser.parse_args()
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import uvicorn
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app = create_app(args.checkpoint)
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uvicorn.run(app, host=args.host, port=args.port)
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if __name__ == "__main__":
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main()
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deepseek/uv.lock
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deepseek/uv.lock
···
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]
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804
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805
850
806
851
[[package]]
···
1922
1967
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1923
1968
1924
1969
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1985
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1925
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1926
1989
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1927
1990
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···
2181
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2182
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2183
2246
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2247
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2248
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2250
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2253
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2254
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sdist = { url = "https://files.pythonhosted.org/packages/81/69/17425771797c36cded50b7fe44e850315d039f28b15901ab44839e70b593/starlette-1.0.0.tar.gz", hash = "sha256:6a4beaf1f81bb472fd19ea9b918b50dc3a77a6f2e190a12954b25e6ed5eea149", size = 2655289, upload-time = "2026-03-22T18:29:46.779Z" }
2255
+
wheels = [
2256
+
{ url = "https://files.pythonhosted.org/packages/0b/c9/584bc9651441b4ba60cc4d557d8a547b5aff901af35bda3a4ee30c819b82/starlette-1.0.0-py3-none-any.whl", hash = "sha256:d3ec55e0bb321692d275455ddfd3df75fff145d009685eb40dc91fc66b03d38b", size = 72651, upload-time = "2026-03-22T18:29:45.111Z" },
2257
+
]
2258
+
2259
+
[[package]]
2184
2260
name = "sympy"
2185
2261
version = "1.14.0"
2186
2262
source = { registry = "https://pypi.org/simple" }
···
2481
2557
{ name = "easydict" },
2482
2558
{ name = "editdistance" },
2483
2559
{ name = "einops" },
2560
+
{ name = "fastapi" },
2484
2561
{ name = "huggingface-hub" },
2485
2562
{ name = "matplotlib" },
2486
2563
{ name = "pillow" },
2564
+
{ name = "python-multipart" },
2487
2565
{ name = "tensorboard" },
2488
2566
{ name = "torch" },
2489
2567
{ name = "torchvision" },
···
2491
2569
{ name = "transformers" },
2492
2570
{ name = "trl" },
2493
2571
{ name = "unsloth" },
2572
+
{ name = "uvicorn", extra = ["standard"] },
2494
2573
]
2495
2574
2496
2575
[package.metadata]
···
2500
2579
{ name = "easydict", specifier = ">=1.13" },
2501
2580
{ name = "editdistance" },
2502
2581
{ name = "einops", specifier = ">=0.8.2" },
2582
+
{ name = "fastapi", specifier = ">=0.111" },
2503
2583
{ name = "huggingface-hub", specifier = ">=0.26" },
2504
2584
{ name = "matplotlib" },
2505
2585
{ name = "pillow", specifier = ">=10" },
2586
+
{ name = "python-multipart", specifier = ">=0.0.9" },
2506
2587
{ name = "tensorboard", specifier = ">=2.20.0" },
2507
2588
{ name = "torch", specifier = ">=2.3" },
2508
2589
{ name = "torchvision", specifier = ">=0.18" },
···
2510
2591
{ name = "transformers", specifier = "==4.56.2" },
2511
2592
{ name = "trl", specifier = "==0.22.2" },
2512
2593
{ name = "unsloth" },
2594
+
{ name = "uvicorn", extras = ["standard"], specifier = ">=0.29" },
2513
2595
]
2514
2596
2515
2597
[[package]]
···
2615
2697
sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
2616
2698
wheels = [
2617
2699
{ url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
2700
+
]
2701
+
2702
+
[[package]]
2703
+
name = "uvicorn"
2704
+
version = "0.44.0"
2705
+
source = { registry = "https://pypi.org/simple" }
2706
+
dependencies = [
2707
+
{ name = "click" },
2708
+
{ name = "h11" },
2709
+
]
2710
+
sdist = { url = "https://files.pythonhosted.org/packages/5e/da/6eee1ff8b6cbeed47eeb5229749168e81eb4b7b999a1a15a7176e51410c9/uvicorn-0.44.0.tar.gz", hash = "sha256:6c942071b68f07e178264b9152f1f16dfac5da85880c4ce06366a96d70d4f31e", size = 86947, upload-time = "2026-04-06T09:23:22.826Z" }
2711
+
wheels = [
2712
+
{ url = "https://files.pythonhosted.org/packages/b7/23/a5bbd9600dd607411fa644c06ff4951bec3a4d82c4b852374024359c19c0/uvicorn-0.44.0-py3-none-any.whl", hash = "sha256:ce937c99a2cc70279556967274414c087888e8cec9f9c94644dfca11bd3ced89", size = 69425, upload-time = "2026-04-06T09:23:21.524Z" },
2713
+
]
2714
+
2715
+
[package.optional-dependencies]
2716
+
standard = [
2717
+
{ name = "colorama", marker = "sys_platform == 'win32'" },
2718
+
{ name = "httptools" },
2719
+
{ name = "python-dotenv" },
2720
+
{ name = "pyyaml" },
2721
+
{ name = "uvloop", marker = "platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32'" },
2722
+
{ name = "watchfiles" },
2723
+
{ name = "websockets" },
2724
+
]
2725
+
2726
+
[[package]]
2727
+
name = "uvloop"
2728
+
version = "0.22.1"
2729
+
source = { registry = "https://pypi.org/simple" }
2730
+
sdist = { url = "https://files.pythonhosted.org/packages/06/f0/18d39dbd1971d6d62c4629cc7fa67f74821b0dc1f5a77af43719de7936a7/uvloop-0.22.1.tar.gz", hash = "sha256:6c84bae345b9147082b17371e3dd5d42775bddce91f885499017f4607fdaf39f", size = 2443250, upload-time = "2025-10-16T22:17:19.342Z" }
2731
+
wheels = [
2732
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2733
+
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2734
+
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2735
+
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2736
+
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2737
+
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2738
+
{ url = "https://files.pythonhosted.org/packages/89/8c/182a2a593195bfd39842ea68ebc084e20c850806117213f5a299dfc513d9/uvloop-0.22.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:561577354eb94200d75aca23fbde86ee11be36b00e52a4eaf8f50fb0c86b7705", size = 1358611, upload-time = "2025-10-16T22:16:36.833Z" },
2739
+
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2740
+
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2741
+
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2742
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2743
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2744
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2745
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2746
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2747
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2748
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2749
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2750
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2751
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2752
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2753
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2754
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2755
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2756
+
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2757
+
2758
+
[[package]]
2759
+
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2760
+
version = "1.1.1"
2761
+
source = { registry = "https://pypi.org/simple" }
2762
+
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2763
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2764
+
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2765
+
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2766
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wheels = [
2767
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2768
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2770
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