[varLib.avarPlanner] Internal variable rename
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@ -112,17 +112,17 @@ def planWeightAxis(
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outNormalized = {}
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outNormalized = {}
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upem = 1 # font["head"].unitsPerEm
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upem = 1 # font["head"].unitsPerEm
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axisWeightAverage = {}
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axisBlackness = {}
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for weight in sorted({minValue, defaultValue, maxValue} | set(pins.values())):
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for weight in sorted({minValue, defaultValue, maxValue} | set(pins.values())):
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glyphset = glyphSetFunc(location={"wght": weight})
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glyphset = glyphSetFunc(location={"wght": weight})
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designWeight = piecewiseLinearMap(weight, pins)
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designWeight = piecewiseLinearMap(weight, pins)
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axisWeightAverage[designWeight] = getGlyphsetBlackness(glyphset, glyphs) / (
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axisBlackness[designWeight] = getGlyphsetBlackness(glyphset, glyphs) / (
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upem * upem
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upem * upem
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)
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)
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log.debug("Calculated average glyph black ratio:\n%s", pformat(axisWeightAverage))
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log.debug("Calculated average glyph black ratio:\n%s", pformat(axisBlackness))
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for (rangeMin, targetMin), (rangeMax, targetMax) in zip(
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for (rangeMin, targetMin), (rangeMax, targetMax) in zip(
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list(sorted(pins.items()))[:-1],
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list(sorted(pins.items()))[:-1],
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@ -139,7 +139,7 @@ def planWeightAxis(
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log.info("Planning target weights %s.", sorted(targetWeights))
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log.info("Planning target weights %s.", sorted(targetWeights))
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log.info("Sampling %u points in range %g,%g.", samples, rangeMin, rangeMax)
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log.info("Sampling %u points in range %g,%g.", samples, rangeMin, rangeMax)
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weightBlackness = axisWeightAverage.copy()
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weightBlackness = axisBlackness.copy()
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for sample in range(1, samples + 1):
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for sample in range(1, samples + 1):
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weight = rangeMin + (rangeMax - rangeMin) * sample / (samples + 1)
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weight = rangeMin + (rangeMax - rangeMin) * sample / (samples + 1)
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log.info("Sampling weight %g.", weight)
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log.info("Sampling weight %g.", weight)
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