mahan_ym
commited on
Commit
·
697792b
1
Parent(s):
e0d0ee2
update related code for recoloring. added search with rapidfuzz
Browse files- pyproject.toml +1 -0
- src/app.py +1 -1
- src/assets/examples/test_7.jpg +3 -0
- src/assets/examples/test_8.jpg +3 -0
- src/modal_app.py +28 -28
- uv.lock +40 -0
pyproject.toml
CHANGED
@@ -19,6 +19,7 @@ dev = [
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"jupyterlab>=4.4.3",
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"matplotlib>=3.10.3",
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"opencv-contrib-python>=4.11.0.86",
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"ruff>=0.11.12",
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"supervision>=0.25.1",
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]
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"jupyterlab>=4.4.3",
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"matplotlib>=3.10.3",
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"opencv-contrib-python>=4.11.0.86",
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+
"rapidfuzz>=3.13.0",
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"ruff>=0.11.12",
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"supervision>=0.25.1",
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]
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src/app.py
CHANGED
@@ -127,7 +127,7 @@ remove_background_tool = gr.Interface(
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],
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outputs=gr.Image(label="Output Image"),
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title="Remove Image Background Tool",
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-
description="Upload an image remove the background.",
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examples=[
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[
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"https://raw.githubusercontent.com/mahan-ym/ImageAlfred/main/src/assets/examples/test_5.jpg",
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],
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outputs=gr.Image(label="Output Image"),
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title="Remove Image Background Tool",
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+
description="Upload an image to remove the background.",
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examples=[
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[
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"https://raw.githubusercontent.com/mahan-ym/ImageAlfred/main/src/assets/examples/test_5.jpg",
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src/assets/examples/test_7.jpg
ADDED
![]() |
Git LFS Details
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src/assets/examples/test_8.jpg
ADDED
![]() |
Git LFS Details
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src/modal_app.py
CHANGED
@@ -5,6 +5,7 @@ import cv2
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import modal
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import numpy as np
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from PIL import Image
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app = modal.App("ImageAlfred")
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@@ -36,6 +37,7 @@ image = (
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"Pillow",
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"numpy",
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"opencv-contrib-python-headless",
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gpu="A10G",
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)
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.pip_install(
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@@ -130,27 +132,25 @@ def change_image_objects_hsv(
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langsam_results = lang_sam_segment.remote(image_pil=image_pil, prompt=prompts)
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if not langsam_results:
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return image_pil
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-
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-
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scores = langsam_results[0]["scores"]
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img_array = np.array(image_pil)
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img_hsv = cv2.cvtColor(img_array, cv2.COLOR_RGB2HSV).astype(np.float32)
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-
for
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-
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-
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-
saturation_scale = target_spec[2]
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-
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try:
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mask_idx = labels.index(target_obj)
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-
except ValueError:
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print(
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f"Warning: Label '{target_obj}' not found in the image. Skipping this target." # noqa: E501
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-
)
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continue
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-
mask = langsam_results[0]["masks"][
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mask_bool = mask.astype(bool)
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img_hsv[mask_bool, 0] = float(hue)
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@@ -204,25 +204,25 @@ def change_image_objects_lab(
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)
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if not langsam_results:
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return image_pil
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-
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-
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scores = langsam_results[0]["scores"]
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img_array = np.array(image_pil)
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img_lab = cv2.cvtColor(img_array, cv2.COLOR_RGB2Lab).astype(np.float32)
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-
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-
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-
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-
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-
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-
try:
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-
mask_idx = labels.index(target_obj)
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-
except ValueError:
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-
print(
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-
f"Warning: Label '{target_obj}' not found in the image. Skipping this target." # noqa: E501
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-
)
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continue
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-
mask = langsam_results[0]["masks"][
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mask_bool = mask.astype(bool)
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img_lab[mask_bool, 1] = new_a
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import modal
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import numpy as np
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from PIL import Image
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+
from rapidfuzz import process
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app = modal.App("ImageAlfred")
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"Pillow",
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"numpy",
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"opencv-contrib-python-headless",
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+
"RapidFuzz",
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gpu="A10G",
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)
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.pip_install(
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langsam_results = lang_sam_segment.remote(image_pil=image_pil, prompt=prompts)
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if not langsam_results:
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return image_pil
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+
input_labels = [target[0] for target in targets_config]
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+
output_labels = langsam_results[0]["labels"]
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scores = langsam_results[0]["scores"]
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img_array = np.array(image_pil)
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img_hsv = cv2.cvtColor(img_array, cv2.COLOR_RGB2HSV).astype(np.float32)
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+
for idx, label in enumerate(output_labels):
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+
if not label or label=="":
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+
print("Skipping empty label.")
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continue
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+
input_label, score, _ = process.extractOne(label, input_labels)
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+
input_label_idx = input_labels.index(input_label)
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+
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+
hue = targets_config[input_label_idx][1]
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+
saturation_scale = targets_config[input_label_idx][2]
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+
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+
mask = langsam_results[0]["masks"][idx]
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mask_bool = mask.astype(bool)
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img_hsv[mask_bool, 0] = float(hue)
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)
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if not langsam_results:
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return image_pil
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+
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+
input_labels = [target[0] for target in targets_config]
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+
output_labels = langsam_results[0]["labels"]
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scores = langsam_results[0]["scores"]
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+
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img_array = np.array(image_pil)
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img_lab = cv2.cvtColor(img_array, cv2.COLOR_RGB2Lab).astype(np.float32)
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+
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+
for idx, label in enumerate(output_labels):
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+
if not label or label == "":
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+
print("Skipping empty label.")
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continue
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+
input_label, score, _ = process.extractOne(label, input_labels)
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+
input_label_idx = input_labels.index(input_label)
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+
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+
new_a = targets_config[input_label_idx][1]
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+
new_b = targets_config[input_label_idx][2]
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+
mask = langsam_results[0]["masks"][idx]
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mask_bool = mask.astype(bool)
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img_lab[mask_bool, 1] = new_a
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uv.lock
CHANGED
@@ -841,6 +841,7 @@ dev = [
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{ name = "jupyterlab" },
|
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{ name = "matplotlib" },
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{ name = "opencv-contrib-python" },
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{ name = "ruff" },
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{ name = "supervision" },
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]
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@@ -858,6 +859,7 @@ dev = [
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{ name = "jupyterlab", specifier = ">=4.4.3" },
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{ name = "matplotlib", specifier = ">=3.10.3" },
|
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{ name = "opencv-contrib-python", specifier = ">=4.11.0.86" },
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{ name = "ruff", specifier = ">=0.11.12" },
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{ name = "supervision", specifier = ">=0.25.1" },
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]
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@@ -2128,6 +2130,44 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/05/4c/bf3cad0d64c3214ac881299c4562b815f05d503bccc513e3fd4fdc6f67e4/pyzmq-26.4.0-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:26a2a7451606b87f67cdeca2c2789d86f605da08b4bd616b1a9981605ca3a364", size = 1395540, upload-time = "2025-04-04T12:04:30.562Z" },
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]
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[[package]]
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name = "referencing"
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version = "0.36.2"
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|
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{ name = "jupyterlab" },
|
842 |
{ name = "matplotlib" },
|
843 |
{ name = "opencv-contrib-python" },
|
844 |
+
{ name = "rapidfuzz" },
|
845 |
{ name = "ruff" },
|
846 |
{ name = "supervision" },
|
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]
|
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|
859 |
{ name = "jupyterlab", specifier = ">=4.4.3" },
|
860 |
{ name = "matplotlib", specifier = ">=3.10.3" },
|
861 |
{ name = "opencv-contrib-python", specifier = ">=4.11.0.86" },
|
862 |
+
{ name = "rapidfuzz", specifier = ">=3.13.0" },
|
863 |
{ name = "ruff", specifier = ">=0.11.12" },
|
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{ name = "supervision", specifier = ">=0.25.1" },
|
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]
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2131 |
]
|
2132 |
|
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+
[[package]]
|
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+
name = "rapidfuzz"
|
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+
version = "3.13.0"
|
2136 |
+
source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/ed/f6/6895abc3a3d056b9698da3199b04c0e56226d530ae44a470edabf8b664f0/rapidfuzz-3.13.0.tar.gz", hash = "sha256:d2eaf3839e52cbcc0accbe9817a67b4b0fcf70aaeb229cfddc1c28061f9ce5d8", size = 57904226, upload-time = "2025-04-03T20:38:51.226Z" }
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wheels = [
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2172 |
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