83 lines
1.8 KiB
Python
83 lines
1.8 KiB
Python
from fontTools.varLib.models import VariationModel
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from fontTools.varLib.avar import _pruneLocations
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import unittest
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import pytest
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TESTS = [
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(
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[
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{"wght": 1},
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{"wght": 0.5},
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],
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[
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{"wght": 0.5},
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],
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[
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{"wght": 0.5},
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],
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),
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(
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[
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{"wght": 1, "wdth": 1},
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{"wght": 0.5, "wdth": 1},
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],
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[
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{"wght": 1, "wdth": 1},
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],
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[
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{"wght": 1, "wdth": 1},
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{"wght": 0.5, "wdth": 1},
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],
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),
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(
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[
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{"wght": 1},
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{"wdth": 1},
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{"wght": 0.5, "wdth": 0.5},
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],
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[
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{"wght": 0.5, "wdth": 0.5},
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],
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[
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{"wght": 0.5, "wdth": 0.5},
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],
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),
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]
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@pytest.mark.parametrize("locations, poles, expected", TESTS)
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def test_pruneLocations(locations, poles, expected):
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axisTags = set()
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for location in locations:
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axisTags.update(location.keys())
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axisTags = sorted(axisTags)
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locations = [{}] + locations
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pruned = _pruneLocations(locations, poles, axisTags)
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assert pruned == expected, (pruned, expected)
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@pytest.mark.parametrize("locations, poles, expected", TESTS)
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def test_roundtrip(locations, poles, expected):
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axisTags = set()
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for location in locations:
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axisTags.update(location.keys())
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axisTags = sorted(axisTags)
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locations = [{}] + locations
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expected = [{}] + expected
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model1 = VariationModel(locations, axisTags)
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model2 = VariationModel(expected, axisTags)
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for location in poles:
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i = model1.locations.index(location)
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support1 = model1.supports[i]
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i = model2.locations.index(location)
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support2 = model2.supports[i]
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assert support1 == support2, (support1, support2)
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