import subprocess from pathlib import Path import tempfile import os from functools import total_ordering import numpy as np from PIL import Image class ImageDifference: def __init__(self, value, ref_path, act_path): self.value, self.ref_path, self.act_path = value, ref_path, act_path def __float__(self): return float(self.value) def __eq__(self, other): return float(self) == float(other) def __lt__(self, other): return float(self) < float(other) def __str__(self): return str(float(self)) def run_cargo_cmd(cmd, args, **kwargs): if cmd.upper() in os.environ: return subprocess.run([os.environ[cmd.upper()], *args], **kwargs) try: return subprocess.run([cmd, *args], **kwargs) except FileNotFoundError: return subprocess.run([str(Path.home() / '.cargo' / 'bin' / cmd), *args], **kwargs) def svg_to_png(in_svg, out_png): run_cargo_cmd('resvg', [in_svg, out_png], check=True, stdout=subprocess.DEVNULL) def gbr_to_svg(in_gbr, out_svg, origin=(0, 0), size=(10, 10)): x, y = origin w, h = size cmd = ['gerbv', '-x', 'svg', '--border=0', f'--origin={x:.6f}x{y:.6f}', f'--window_inch={w:.6f}x{h:.6f}', '--foreground=#ffffff', '-o', str(out_svg), str(in_gbr)] subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) def gerber_difference(reference, actual): with tempfile.NamedTemporaryFile(suffix='.svg') as act_svg,\ tempfile.NamedTemporaryFile(suffix='.svg') as ref_svg: gbr_to_svg(reference, ref_svg.name) gbr_to_svg(actual, act_svg.name) diff = svg_difference(ref_svg.name, act_svg.name) diff.ref_path, diff.act_path = reference, actual return diff def svg_difference(reference, actual): with tempfile.NamedTemporaryFile(suffix='.png') as ref_png,\ tempfile.NamedTemporaryFile(suffix='.png') as act_png: svg_to_png(reference, ref_png.name) svg_to_png(actual, act_png.name) diff = image_difference(ref_png.name, act_png.name) diff.ref_path, diff.act_path = reference, actual return diff def image_difference(reference, actual): ref = np.array(Image.open(reference)).astype(float) out = np.array(Image.open(actual)).astype(float) ref, out = ref.mean(axis=2), out.mean(axis=2) # convert to grayscale delta = np.abs(out - ref).astype(float) / 255 return ImageDifference(delta.mean(), reference, actual)