[varLib] Add avarPlanner

This commit is contained in:
Behdad Esfahbod 2023-07-22 21:18:52 -06:00
parent b1ac5aa581
commit 8557e535eb

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from fontTools.pens.areaPen import AreaPen
from fontTools.varLib.models import piecewiseLinearMap
from fontTools.misc.cliTools import makeOutputFileName
from math import exp, log
WEIGHTS = [100, 200, 300, 400, 500, 600, 700, 800, 900]
SAMPLES = 8
def getGlyphsetBlackness(glyphset):
wght_sum = wdth_sum = 0
for glyph_name in glyphset:
glyph = glyphset[glyph_name]
pen = AreaPen(glyphset=glyphset)
glyph.draw(pen)
wght_sum += abs(pen.value)
wdth_sum += glyph.width
return wght_sum / wdth_sum
def planWeightAxis(font, minValue, defaultValue, maxValue, weights=WEIGHTS):
print("Weight min/default/max:", minValue, defaultValue, maxValue)
out = {}
outNormalized = {}
upem = font["head"].unitsPerEm
axisWeightAverage = {}
for weight in sorted({minValue, defaultValue, maxValue}):
glyphset = font.getGlyphSet(location={"wght": weight})
axisWeightAverage[weight] = getGlyphsetBlackness(glyphset) / upem
print("Calculated average glyph black ratio:", axisWeightAverage)
outNormalized[-1] = -1
for extremeValue in sorted({minValue, maxValue} - {defaultValue}):
rangeMin = min(defaultValue, extremeValue)
rangeMax = max(defaultValue, extremeValue)
targetWeights = {w for w in weights if rangeMin < w < rangeMax}
if not targetWeights:
continue
bias = -1 if extremeValue < defaultValue else 0
print("Planning target weights", targetWeights)
print("Sampling", SAMPLES, "points in range", rangeMin, rangeMax)
weightBlackness = axisWeightAverage.copy()
for sample in range(1, SAMPLES + 1):
weight = rangeMin + (rangeMax - rangeMin) * sample / (SAMPLES + 1)
print("Sampling weight", weight)
glyphset = font.getGlyphSet(location={"wght": weight})
weightBlackness[weight] = getGlyphsetBlackness(glyphset) / upem
print("Sampled average glyph black ratio:", weightBlackness)
blacknessWeight = {}
for weight in sorted(weightBlackness):
blacknessWeight[weightBlackness[weight]] = weight
logMin = log(weightBlackness[rangeMin])
logMax = log(weightBlackness[rangeMax])
out[rangeMin] = rangeMin
outNormalized[bias] = bias
for weight in sorted(targetWeights):
t = (weight - rangeMin) / (rangeMax - rangeMin)
targetBlackness = exp(logMin + t * (logMax - logMin))
targetWeight = piecewiseLinearMap(targetBlackness, blacknessWeight)
print("Planned mapping weight %g to %g" % (weight, targetWeight))
out[weight] = targetWeight
outNormalized[t + bias] = (targetWeight - rangeMin) / (
rangeMax - rangeMin
) + bias
out[rangeMax] = rangeMax
outNormalized[bias + 1] = bias + 1
outNormalized[+1] = +1
print("Planned mapping:", out)
print("Planned normalized mapping:", outNormalized)
return out, outNormalized
def main(args=None):
if args is None:
import sys
args = sys.argv[1:]
from fontTools.ttLib import TTFont
import argparse
parser = argparse.ArgumentParser(
"fonttools varLib.avarPlanner",
description="Plan `avar` table for variable font",
)
parser.add_argument("font", metavar="font.ttf", help="Font file.")
options = parser.parse_args(args)
font = TTFont(options.font)
fvar = font["fvar"]
wghtAxis = slntAxis = None
for axis in fvar.axes:
if axis.axisTag == "wght":
wghtAxis = axis
elif axis.axisTag == "slnt":
slntAxis = axis
_, mapping = planWeightAxis(
font, wghtAxis.minValue, wghtAxis.defaultValue, wghtAxis.maxValue
)
if "avar" in font:
print("Existing weight mapping:", font["avar"].segments["wght"])
else:
font["avar"] = newTable("avar")
avar = font["avar"]
avar.segments["wght"] = mapping
outfile = makeOutputFileName(options.font, overWrite=True, suffix=".avar")
font.save(outfile)
if __name__ == "__main__":
import sys
sys.exit(main())