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Merge pull request #2717 from fonttools/varLib-narrow

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[varLib.models] Generate narrower tents
This commit is contained in:
Behdad Esfahbod 2022-08-16 12:46:22 -06:00 committed by GitHub
commit 3325b47606
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GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 473 additions and 455 deletions
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53
Lib/fontTools/varLib/models.py
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@ -14,6 +14,7 @@ __all__ = [
from fontTools.misc.roundTools import noRound
from .errors import VariationModelError
from collections import defaultdict
def nonNone(lst):
@ -203,13 +204,8 @@ class VariationModel(object):
{0: 1.0},
{0: 1.0},
{0: 1.0, 4: 1.0, 5: 1.0},
{0: 1.0, 3: 0.75, 4: 0.25, 5: 1.0, 6: 0.6666666666666666},
{0: 1.0,
3: 0.75,
4: 0.25,
5: 0.6666666666666667,
6: 0.4444444444444445,
7: 0.6666666666666667}]
{0: 1.0, 3: 0.75, 4: 0.25, 5: 1.0},
{0: 1.0, 3: 0.75, 4: 0.25, 5: 0.6666666666666667}]
"""
def __init__(self, locations, axisOrder=None):
@ -366,23 +362,48 @@ class VariationModel(object):
def _locationsToRegions(self):
locations = self.locations
# Compute min/max across each axis, use it as total range.
# TODO Take this as input from outside?
minV = {}
maxV = {}
axes = set()
for l in locations:
for k, v in l.items():
minV[k] = min(v, minV.get(k, v))
maxV[k] = max(v, maxV.get(k, v))
for axis in l.keys():
axes.add(axis)
for axis in axes:
minV[axis] = 0.0
maxV[axis] = 0.0
for l in locations:
for axis, v in l.items():
minV[axis] = min(v, minV.get(axis, v))
maxV[axis] = max(v, maxV.get(axis, v))
axisPoints = defaultdict(lambda: defaultdict(lambda: {0.0}))
for loc in locations:
for axis, value in loc.items():
offAxisLoc = loc.copy()
offAxisLoc.pop(axis)
offAxisLoc = tuple(sorted(offAxisLoc.items()))
axisPoints[axis][offAxisLoc].add(value)
regions = []
for loc in locations:
region = {}
for axis, locV in loc.items():
if locV > 0:
region[axis] = (0, locV, maxV[axis])
else:
region[axis] = (minV[axis], locV, 0)
for axis, peak in loc.items():
assert peak != 0
offAxisLoc = loc.copy()
offAxisLoc.pop(axis)
offAxisLoc = tuple(sorted(offAxisLoc.items()))
points = axisPoints[axis][offAxisLoc]
points.add(minV[axis])
points.add(maxV[axis])
points = sorted(points)
peakIndex = points.index(peak)
lower = peak if peakIndex == 0 else points[peakIndex - 1]
upper = peak if peakIndex == len(points) - 1 else points[peakIndex + 1]
region[axis] = (lower, peak, upper)
regions.append(region)
return regions

864
Tests/varLib/data/test_results/TestSparseCFF2VF.ttx
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11
Tests/varLib/models_test.py
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@ -104,8 +104,8 @@ class VariationModelTest(object):
{'wght': (0, 0.55, 1.0)},
{'wght': (0.55, 1.0, 1.0)},
{'wdth': (0, 1.0, 1.0)},
{'wdth': (0, 1.0, 1.0), 'wght': (0, 1.0, 1.0)},
{'wdth': (0, 1.0, 1.0), 'wght': (0, 0.66, 1.0)},
{'wdth': (0, 1.0, 1.0), 'wght': (0.66, 1.0, 1.0)},
{'wdth': (0.66, 1.0, 1.0), 'wght': (0, 0.66, 1.0)},
{'wdth': (0, 0.66, 1.0), 'wght': (0, 0.66, 1.0)}
],
[
@ -121,14 +121,11 @@ class VariationModelTest(object):
{0: 1.0,
3: 0.7555555555555555,
4: 0.24444444444444444,
5: 1.0,
6: 0.66},
5: 1.0},
{0: 1.0,
3: 0.7555555555555555,
4: 0.24444444444444444,
5: 0.66,
6: 0.43560000000000006,
7: 0.66}
5: 0.66}
]
),
(