blob: 7eb9d740b9ef667a107964c86aee755d254a6fc2 [file] [log] [blame]
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