fonttools/Tests/varLib/varStore_test.py
Behdad Esfahbod 9e36b9465d [varStore] Micro-optimize storeDeltas()
Also speed up the test slightly by skipping rounding.
2023-10-23 15:18:11 -06:00

287 lines
7.3 KiB
Python

import pytest
from io import StringIO
from fontTools.misc.xmlWriter import XMLWriter
from fontTools.misc.roundTools import noRound
from fontTools.varLib.models import VariationModel
from fontTools.varLib.varStore import OnlineVarStoreBuilder, VarStoreInstancer
from fontTools.ttLib import TTFont, newTable
from fontTools.ttLib.tables._f_v_a_r import Axis
from fontTools.ttLib.tables.otBase import OTTableReader, OTTableWriter
from fontTools.ttLib.tables.otTables import VarStore
@pytest.mark.parametrize(
"locations, masterValues",
[
(
[{}, {"a": 1}],
[
[10, 10], # Test NO_VARIATION_INDEX
[100, 2000],
[100, 22000],
],
),
(
[{}, {"a": 1}, {"b": 1}, {"a": 1, "b": 1}],
[
[10, 20, 40, 60],
[100, 2000, 400, 6000],
[7100, 22000, 4000, 30000],
],
),
(
[{}, {"a": 1}],
[
[10, 20],
[42000, 100],
[100, 52000],
],
),
(
[{}, {"a": 1}, {"b": 1}, {"a": 1, "b": 1}],
[
[10, 20, 40, 60],
[40000, 42000, 400, 6000],
[100, 22000, 4000, 173000],
],
),
],
)
def test_onlineVarStoreBuilder(locations, masterValues):
axisTags = sorted({k for loc in locations for k in loc})
model = VariationModel(locations)
builder = OnlineVarStoreBuilder(axisTags)
builder.setModel(model)
varIdxs = []
for masters in masterValues:
_, varIdx = builder.storeMasters(masters)
varIdxs.append(varIdx)
varStore = builder.finish()
mapping = varStore.optimize()
varIdxs = [mapping[varIdx] for varIdx in varIdxs]
dummyFont = TTFont()
writer = OTTableWriter()
varStore.compile(writer, dummyFont)
data = writer.getAllData()
reader = OTTableReader(data)
varStore = VarStore()
varStore.decompile(reader, dummyFont)
fvarAxes = [buildAxis(axisTag) for axisTag in axisTags]
instancer = VarStoreInstancer(varStore, fvarAxes)
for masters, varIdx in zip(masterValues, varIdxs):
base, *rest = masters
for expectedValue, loc in zip(masters, locations):
instancer.setLocation(loc)
value = base + instancer[varIdx]
assert expectedValue == value
def buildAxis(axisTag):
axis = Axis()
axis.axisTag = axisTag
return axis
@pytest.mark.parametrize(
"numRegions, varData, expectedNumVarData, expectedBytes",
[
(
5,
[
[10, 10, 0, 0, 20],
{3: 300},
],
1,
126,
),
(
5,
[
[10, 10, 0, 0, 20],
[10, 11, 0, 0, 20],
[10, 12, 0, 0, 20],
[10, 13, 0, 0, 20],
{3: 300},
],
1,
175,
),
(
5,
[
[10, 11, 0, 0, 20],
[10, 300, 0, 0, 20],
[10, 301, 0, 0, 20],
[10, 302, 0, 0, 20],
[10, 303, 0, 0, 20],
[10, 304, 0, 0, 20],
],
1,
180,
),
(
5,
[
[0, 11, 12, 0, 20],
[0, 13, 12, 0, 20],
[0, 14, 12, 0, 20],
[0, 15, 12, 0, 20],
[0, 16, 12, 0, 20],
[10, 300, 0, 0, 20],
[10, 301, 0, 0, 20],
[10, 302, 0, 0, 20],
[10, 303, 0, 0, 20],
[10, 304, 0, 0, 20],
],
1,
200,
),
(
5,
[
[0, 11, 12, 0, 20],
[0, 13, 12, 0, 20],
[0, 14, 12, 0, 20],
[0, 15, 12, 0, 20],
[0, 16, 12, 0, 20],
[0, 17, 12, 0, 20],
[0, 18, 12, 0, 20],
[0, 19, 12, 0, 20],
[0, 20, 12, 0, 20],
[10, 300, 0, 0, 20],
[10, 301, 0, 0, 20],
[10, 302, 0, 0, 20],
[10, 303, 0, 0, 20],
[10, 304, 0, 0, 20],
],
2,
218,
),
(
3,
[
[10, 10, 10],
],
0,
12,
),
],
)
def test_optimize(numRegions, varData, expectedNumVarData, expectedBytes):
locations = [{i: i / 16384.0} for i in range(numRegions)]
axisTags = sorted({k for loc in locations for k in loc})
model = VariationModel(locations)
builder = OnlineVarStoreBuilder(axisTags)
builder.setModel(model)
for data in varData:
if type(data) is dict:
newData = [0] * numRegions
for k, v in data.items():
newData[k] = v
data = newData
builder.storeMasters(data)
varStore = builder.finish()
varStore.optimize()
dummyFont = TTFont()
writer = XMLWriter(StringIO())
varStore.toXML(writer, dummyFont)
xml = writer.file.getvalue()
assert len(varStore.VarData) == expectedNumVarData, xml
writer = OTTableWriter()
varStore.compile(writer, dummyFont)
data = writer.getAllData()
assert len(data) == expectedBytes, xml
@pytest.mark.parametrize(
"quantization, expectedBytes",
[
(1, 200),
(2, 180),
(3, 170),
(4, 175),
(8, 170),
(32, 92),
(64, 56),
],
)
def test_quantize(quantization, expectedBytes):
varData = [
[0, 11, 12, 0, 20],
[0, 13, 12, 0, 20],
[0, 14, 12, 0, 20],
[0, 15, 12, 0, 20],
[0, 16, 12, 0, 20],
[10, 300, 0, 0, 20],
[10, 301, 0, 0, 20],
[10, 302, 0, 0, 20],
[10, 303, 0, 0, 20],
[10, 304, 0, 0, 20],
]
numRegions = 5
locations = [{i: i / 16384.0} for i in range(numRegions)]
axisTags = sorted({k for loc in locations for k in loc})
model = VariationModel(locations)
builder = OnlineVarStoreBuilder(axisTags)
builder.setModel(model)
for data in varData:
builder.storeMasters(data)
varStore = builder.finish()
varStore.optimize(quantization=quantization)
dummyFont = TTFont()
writer = XMLWriter(StringIO())
varStore.toXML(writer, dummyFont)
xml = writer.file.getvalue()
writer = OTTableWriter()
varStore.compile(writer, dummyFont)
data = writer.getAllData()
assert len(data) == expectedBytes, xml
def test_optimize_overflow():
numRegions = 1
locations = [{"wght": 0}, {"wght": 0.5}]
axisTags = ["wght"]
model = VariationModel(locations)
builder = OnlineVarStoreBuilder(axisTags)
builder.setModel(model)
for data in range(0, 0xFFFF * 2):
data = [0, data]
builder.storeMasters(data, round=noRound)
varStore = builder.finish()
varStore.optimize()
for s in varStore.VarData:
print(len(s.Item))
# 5 data-sets:
# - 0..127: 1-byte dataset
# - 128..32767: 2-byte dataset
# - 32768..32768+65535-1: 4-byte dataset
# - 32768+65535..65535+65535-1: 4-byte dataset
assert len(varStore.VarData) == 4