Add initial version of shape script

shape/.gitignore

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+# venv stuff
+bin/
+lib/
+lib64
+pyvenv.cfg

shape/README.md

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+# Shape
+
+A similar idea to [visualize](../visualize/), but converts text files to pngs
+(with syntax highlighting support for various languages).

shape/shape.py

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+import argparse
+import PIL.Image
+
+def convert_tabs(line, tabwidth):
+    result = []
+    for char in line:
+        if char == "\t":
+            result.append(" " * tabwidth)
+        else:
+            result.append(char)
+    return "".join(result)
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("infile",
+            help="input source file")
+    parser.add_argument("outfile",
+            help="output image file (image format detected based on extension)")
+    parser.add_argument("--tabwidth", "-w", type=int, default=8,
+            help="the amount of spaces per tab")
+    parser.add_argument("--upscale", "-u", action="store_true",
+            help="increase the output image's size by 10")
+    args = parser.parse_args()
+
+    with open(args.infile) as f:
+        text = f.read()
+
+    lines = [convert_tabs(line, args.tabwidth) for line in text.splitlines()]
+    width = max(map(len, lines))
+    height = len(lines)
+
+    image = PIL.Image.new("RGB", (width, height), (255, 255, 255))
+
+    # Algorithm for drawing the "shape" of code, to be improved later
+    for y, line in enumerate(lines):
+        for x, char in enumerate(line):
+            if not char.isspace():
+                image.putpixel((x, y), (0, 0, 0))
+
+    if args.upscale:
+        image = image.resize((width * 10, height * 10),
+                resample=PIL.Image.NEAREST)
+
+    with open(args.outfile, "wb") as f:
+        image.save(f)
+
+if __name__ == "__main__":
+    main()