[interpolatable] Remove the empirical high-cost error
This was very empirical and has no theoretical background. Experiment shows that this is mostly false-positive.
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@ -213,7 +213,6 @@ def test(glyphsets, glyphs=None, names=None):
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# points.value is a list of pt,bool where bool is true if on-curve and false if off-curve;
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# points.value is a list of pt,bool where bool is true if on-curve and false if off-curve;
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# now check all rotations and mirror-rotations of the contour and build list of isomorphic
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# now check all rotations and mirror-rotations of the contour and build list of isomorphic
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# possible starting points.
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# possible starting points.
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#print(points.value)
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bits = 0
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bits = 0
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for pt,b in points.value:
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for pt,b in points.value:
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bits = (bits << 1) | b
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bits = (bits << 1) | b
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@ -294,23 +293,6 @@ def test(glyphsets, glyphs=None, names=None):
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},
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},
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)
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)
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break
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break
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upem = 2048
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item_cost = round(
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(matching_cost / len(m0) / len(m0[0])) ** 0.5 / upem * 100
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)
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hist.append(item_cost)
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threshold = 7
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if item_cost >= threshold:
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add_problem(
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glyph_name,
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{
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"type": "high_cost",
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"master_1": names[i],
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"master_2": names[i + 1],
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"value_1": item_cost,
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"value_2": threshold,
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},
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)
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for i, (m0, m1) in enumerate(zip(allContourIsomorphisms[:-1], allContourIsomorphisms[1:])):
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for i, (m0, m1) in enumerate(zip(allContourIsomorphisms[:-1], allContourIsomorphisms[1:])):
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if not m0:
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if not m0:
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@ -437,16 +419,6 @@ def main(args=None):
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p["master_2"],
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p["master_2"],
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)
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)
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)
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)
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if p["type"] == "high_cost":
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print(
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" Interpolation has high cost: cost of %s to %s = %i, threshold %i"
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% (
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p["master_1"],
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p["master_2"],
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p["value_1"],
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p["value_2"],
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)
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)
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if problems:
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if problems:
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return problems
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return problems
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