20260629222128
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# -*- coding: utf-8 -*-
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import sys
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import io
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import urllib.request
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from PIL import Image
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URL = ("http://118.89.70.199:9001/test/finance-category-default/income/hongbao.webp"
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"?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD"
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"&X-Amz-Credential=54WPUR104SA9X00EKWS3%2F20260629%2Fus-east-1%2Fs3%2Faws4_request"
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"&X-Amz-Date=20260629T105003Z&X-Amz-Expires=86400"
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"&X-Amz-Security-Token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzUxMiJ9.eyJleHAiOjE3ODI3NzMyMDUsInBhcmVudCI6Im9uZWFvIn0.zkP6L1zg_LPy1UuK-3-VT6LEWuhLNickKWTWDly_PzJCnwIRPS4naSZE9Lx84HtXPVVhxaZguHXl65AXjROJZA"
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"&X-Amz-Signature=b763181ad8bf74deb2ac55ac18402d26a91075088c9c109cfd3a4da6cca7b38f"
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"&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject")
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out_path = r"D:\workspace\code\app\.workbuddy\hongbao.webp"
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req = urllib.request.Request(URL, headers={"User-Agent": "Mozilla/5.0"})
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with urllib.request.urlopen(req, timeout=60) as resp:
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data = resp.read()
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print("Downloaded bytes:", len(data))
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with open(out_path, "wb") as f:
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f.write(data)
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img = Image.open(out_path)
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print("Format:", img.format)
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print("Size:", img.size)
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print("Mode:", img.mode)
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# Force load pixel data
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img.load()
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has_alpha = img.mode in ("RGBA", "LA") or (img.mode == "P" and "transparency" in img.info)
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print("Has alpha channel:", has_alpha)
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if img.mode == "P":
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# Convert palette to RGBA to inspect real pixels
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rgba = img.convert("RGBA")
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elif img.mode != "RGBA":
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rgba = img.convert("RGBA")
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else:
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rgba = img
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w, h = rgba.size
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px = rgba.load()
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def info(x, y):
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r, g, b, a = px[x, y]
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return f"({x},{y}) RGBA=({r},{g},{b},{a})"
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print("\n--- Corner pixels ---")
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print("TL", info(0, 0))
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print("TR", info(w - 1, 0))
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print("BL", info(0, h - 1))
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print("BR", info(w - 1, h - 1))
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print("\n--- Edge midpoints ---")
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print("Top-mid", info(w // 2, 0))
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print("Bottom-mid", info(w // 2, h - 1))
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print("Left-mid", info(0, h // 2))
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print("Right-mid", info(w - 1, h // 2))
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# Statistics over all pixels
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total = w * h
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transparent = 0 # alpha == 0
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near_transparent = 0 # alpha < 255 and > 0
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fully_opaque = 0 # alpha == 255
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white_pixels = 0 # opaque & RGB ~ (255,255,255)
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near_white_bg = 0 # alpha==0 OR rgb near white
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for y in range(h):
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for x in range(w):
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r, g, b, a = px[x, y]
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if a == 0:
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transparent += 1
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elif a < 255:
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near_transparent += 1
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else:
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fully_opaque += 1
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if r > 245 and g > 245 and b > 245:
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white_pixels += 1
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print("\n--- Global statistics ---")
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print("Total pixels:", total)
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print("Fully transparent (a==0):", transparent, f"({100*transparent/total:.2f}%)")
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print("Semi-transparent (0<a<255):", near_transparent, f"({100*near_transparent/total:.2f}%)")
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print("Fully opaque (a==255):", fully_opaque, f"({100*fully_opaque/total:.2f}%)")
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print("Opaque & near-white:", white_pixels, f"({100*white_pixels/total:.2f}%)")
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# Border-only statistics (outer 2px ring) - this is what reveals background
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def is_border(x, y, w, h, t=2):
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return x < t or y < t or x >= w - t or y >= h - t
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border_total = 0
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border_trans = 0
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border_white = 0
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for y in range(h):
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for x in range(w):
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if is_border(x, y, w, h):
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border_total += 1
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r, g, b, a = px[x, y]
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if a == 0:
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border_trans += 1
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elif r > 245 and g > 245 and b > 245:
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border_white += 1
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print("\n--- Border ring (outer 2px) ---")
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print("Border pixels:", border_total)
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print("Border transparent:", border_trans, f"({100*border_trans/border_total:.2f}%)")
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print("Border near-white opaque:", border_white, f"({100*border_white/border_total:.2f}%)")
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print("\n=== CONCLUSION ===")
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if border_trans / border_total > 0.5:
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print("BACKGROUND IS TRANSPARENT (alpha channel, mostly a==0 at edges)")
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elif border_white / border_total > 0.5:
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print("BACKGROUND IS WHITE (opaque near-white pixels at edges)")
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else:
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print("Background is neither clearly transparent nor white - inspect manually")
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