[instancer.solver] Simplify solver

This commit is contained in:
Behdad Esfahbod 2022-08-06 16:17:43 -06:00
parent 32be0d46ec
commit 8ca0dab0c0
2 changed files with 47 additions and 32 deletions

View File

@ -239,7 +239,23 @@ def changeTupleVariationAxisLimit(var, axisTag, axisLimit):
if axisTag not in var.axes:
return [var]
return solver.changeTupleVariationAxisLimit(var, axisTag, axisLimit)
tent = var.axes[axisTag]
solutions = solver.rebaseTent(tent, axisLimit)
out = []
# TODO Reuse original var
for scalar,tent in solutions:
if scalar == 0: continue
newVar = TupleVariation(var.axes, var.coordinates)
newVar.axes.pop(axisTag)
if tent[1] != 0:
newVar.axes[axisTag] == tent
if scalar != 1:
newVar.scaleDeltas(scalar)
out.append(newVar)
return out
def _instantiateGvarGlyph(
glyphname, glyf, gvar, hMetrics, vMetrics, axisLimits, optimize=True

View File

@ -1,32 +1,31 @@
from fontTools.varLib.models import supportScalar
def _solvePinned(var, axisTag, axisLimit):
def _solvePinned(tent, axisLimit):
axisMin, axisDef, axisMax = axisLimit
assert axisMin == axisDef == axisMax
support = {axisTag: var.axes.pop(axisTag)}
scalar = supportScalar({axisTag: axisLimit.default}, support)
support = {'tag': tent}
scalar = supportScalar({'tag': axisDef}, support)
if scalar == 0.0:
return []
if scalar != 1.0:
var.scaleDeltas(scalar)
return [var]
return [(scalar, (-1, 0, +1))]
def _solveDefaultUnmoved(var, axisTag, axisLimit):
def _solveDefaultUnmoved(tent, axisLimit):
axisMin, axisDef, axisMax = axisLimit
lower, peak, upper = var.axes.get(axisTag)
lower, peak, upper = tent
negative = lower < 0
if negative:
if axisMin == -1.0:
return [var]
return [(1, tent)]
elif axisMin == 0.0:
return []
else:
if axisMax == 1.0:
return [var]
return [(1, tent)]
elif axisMax == 0.0:
return []
@ -44,8 +43,8 @@ def _solveDefaultUnmoved(var, axisTag, axisLimit):
# special case when innermost bound == peak == limit
if newLower == newPeak == 1.0:
var.axes[axisTag] = (-1.0, -1.0, -1.0) if negative else (1.0, 1.0, 1.0)
return [var]
loc = (-1.0, -1.0, -1.0) if negative else (1.0, 1.0, 1.0)
return [(1, loc)]
# case 1: the whole deltaset falls outside the new limit; we can drop it
elif newLower >= 1.0:
@ -55,14 +54,13 @@ def _solveDefaultUnmoved(var, axisTag, axisLimit):
# we keep the deltaset, update peak and outermost bound and and scale deltas
# by the scalar value for the restricted axis at the new limit.
elif newPeak >= 1.0:
scalar = supportScalar({axisTag: limit}, {axisTag: (lower, peak, upper)})
var.scaleDeltas(scalar)
scalar = supportScalar({'tag': limit}, {'tag': (lower, peak, upper)})
newPeak = 1.0
newUpper = 1.0
if negative:
newLower, newPeak, newUpper = _negate(newUpper, newPeak, newLower)
var.axes[axisTag] = (newLower, newPeak, newUpper)
return [var]
loc = (newLower, newPeak, newUpper)
return [(scalar, loc)]
# case 3: peak falls inside but outermost limit still fits within F2Dot14 bounds;
# we keep deltas as is and only scale the axes bounds. Deltas beyond -1.0
@ -73,8 +71,8 @@ def _solveDefaultUnmoved(var, axisTag, axisLimit):
elif MAX_F2DOT14 < newUpper <= 2.0:
# we clamp +2.0 to the max F2Dot14 (~1.99994) for convenience
newUpper = MAX_F2DOT14
var.axes[axisTag] = (newLower, newPeak, newUpper)
return [var]
loc = (newLower, newPeak, newUpper)
return [(1, loc)]
# case 4: new limit doesn't fit; we need to chop the deltaset into two 'tents',
# because the shape of a triangle with part of one side cut off cannot be
@ -84,39 +82,40 @@ def _solveDefaultUnmoved(var, axisTag, axisLimit):
# duplicate the tent, then adjust lower/peak/upper so that the outermost limit
# of the original tent is +/-2.0, whereas the new tent's starts as the old
# one peaks and maxes out at +/-1.0.
newVar = TupleVariation(var.axes, var.coordinates)
if negative:
var.axes[axisTag] = (-2.0, -1 * newPeak, -1 * newLower)
newVar.axes[axisTag] = (-1.0, -1.0, -1 * newPeak)
loc = (-2.0, -1 * newPeak, -1 * newLower)
newloc = (-1.0, -1.0, -1 * newPeak)
else:
var.axes[axisTag] = (newLower, newPeak, MAX_F2DOT14)
newVar.axes[axisTag] = (newPeak, 1.0, 1.0)
loc = (newLower, newPeak, MAX_F2DOT14)
newloc = (newPeak, 1.0, 1.0)
# the new tent's deltas are scaled by the difference between the scalar value
# for the old tent at the desired limit...
scalar1 = supportScalar({axisTag: limit}, {axisTag: (lower, peak, upper)})
scalar1 = supportScalar({tag: limit}, {tag: (lower, peak, upper)})
# ... and the scalar value for the clamped tent (with outer limit +/-2.0),
# which can be simplified like this:
scalar2 = 1 / (2 - newPeak)
newVar.scaleDeltas(scalar1 - scalar2)
return [var, newVar]
return [(scalar1, loc), (scalar2, newloc)]
def _solveDefaultUnmoved(var, axisTag, axisLimit):
def _solveDefaultUnmoved(tent, axisLimit):
raise NotImplementedError
def changeTupleVariationAxisLimit(var, axisTag, axisLimit):
def rebaseTent(tent, axisLimit):
axisMin, axisDef, axisMax = axisLimit
assert -1 <= axisMin <= axisDef <= axisMax <= +1
lower, peak, upper = tent
assert -2 <= lower <= peak <= upper <= +2
# Get the pinned case out of the way
if axisMin == axisMax:
return _solvePinned(var, axisTag, axisLimit)
return _solvePinned(tent, axisLimit)
# If default isn't moving, get that out of the way as well
if axisDef == 0:
return _solveDefaultUnmoved(var, axisTag, axisLimit)
return _solveDefaultUnmoved(tent, axisLimit)
return _solveGeneral(var, axisTag, axisLimit)
return _solveGeneral(tent, axisLimit)