From 9db91239ea0eac21f38435c1388f86f94f9ce8f3 Mon Sep 17 00:00:00 2001 From: jaseg Date: Thu, 30 Dec 2021 22:20:51 +0100 Subject: Fix more tests --- gerbonara/gerber/tests/image_support.py | 33 ++++++++++++++++++++++++++++++--- 1 file changed, 30 insertions(+), 3 deletions(-) (limited to 'gerbonara/gerber/tests/image_support.py') diff --git a/gerbonara/gerber/tests/image_support.py b/gerbonara/gerber/tests/image_support.py index 49217c2..96bc357 100644 --- a/gerbonara/gerber/tests/image_support.py +++ b/gerbonara/gerber/tests/image_support.py @@ -10,9 +10,11 @@ from contextlib import contextmanager import numpy as np from PIL import Image +@total_ordering class ImageDifference: - def __init__(self, value): + def __init__(self, value, histogram): self.value = value + self.histogram = histogram def __float__(self): return float(self.value) @@ -26,6 +28,27 @@ class ImageDifference: def __str__(self): return str(float(self)) +@total_ordering +class Histogram: + def __init__(self, value, size): + self.value, self.size = value, size + + def __eq__(self, other): + other = np.array(other) + other[other == None] = self.value[other == None] + return (self.value == other).all() + + def __lt__(self, other): + other = np.array(other) + other[other == None] = self.value[other == None] + return (self.value <= other).all() + + def __getitem__(self, index): + return self.value[index] + + def __str__(self): + return f'{list(self.value)} size={self.size}' + def run_cargo_cmd(cmd, args, **kwargs): if cmd.upper() in os.environ: @@ -38,7 +61,7 @@ def run_cargo_cmd(cmd, args, **kwargs): return subprocess.run([str(Path.home() / '.cargo' / 'bin' / cmd), *args], **kwargs) def svg_to_png(in_svg, out_png): - run_cargo_cmd('resvg', ['--dpi', '200', in_svg, out_png], check=True, stdout=subprocess.DEVNULL) + run_cargo_cmd('resvg', ['--dpi', '100', in_svg, out_png], check=True, stdout=subprocess.DEVNULL) def gbr_to_svg(in_gbr, out_svg, origin=(0, 0), size=(6, 6)): x, y = origin @@ -109,6 +132,10 @@ def image_difference(reference, actual, diff_out=None): delta = np.abs(out - ref).astype(float) / 255 if diff_out: Image.fromarray((delta*255).astype(np.uint8), mode='L').save(diff_out) - return ImageDifference(delta.mean()), ImageDifference(delta.max()) + + hist, _bins = np.histogram(delta, bins=10, range=(0, 1)) + return (ImageDifference(delta.mean(), hist), + ImageDifference(delta.max(), hist), + Histogram(hist, out.size)) -- cgit