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from __future__ import annotations
from typing import TYPE_CHECKING, cast
import numpy as np
from numpy.testing import assert_allclose, assert_array_equal
import pytest
from contourpy import (
FillType,
LineType,
contour_generator,
dechunk_filled,
dechunk_lines,
dechunk_multi_filled,
dechunk_multi_lines,
)
from . import util_test
if TYPE_CHECKING:
import contourpy._contourpy as cpy
@pytest.fixture
def z() -> cpy.CoordinateArray:
return np.array([[0, 1, 0, 0, 0],
[0, 1, 0, 0, 0],
[0, 1, 0, 0, 0],
[0, 2, 0, 1, 0],
[0, 0, 0, 0, 0]], dtype=np.float64)
@pytest.mark.parametrize("fill_type", FillType.__members__.values())
@pytest.mark.parametrize("chunk_size", (0, 2))
def test_dechunk_filled(z: cpy.CoordinateArray, fill_type: FillType, chunk_size: int) -> None:
cont_gen = contour_generator(z=z, fill_type=fill_type, chunk_size=chunk_size)
assert cont_gen.chunk_count == ((2, 2) if chunk_size==2 else (1, 1))
filled = cont_gen.filled(0.5, 1.5)
dechunked = dechunk_filled(filled, fill_type)
util_test.assert_filled(dechunked, fill_type)
if chunk_size == 0 or fill_type in (FillType.OuterCode, FillType.OuterOffset):
# Dechunking is a no-op for non-chunked fill types.
assert dechunked == filled
else:
nchunks = len(dechunked[0])
assert nchunks == 1
# Note it is important that this contains a polygon with a hole,
# and using chunk_size=2 there is an empty chunk.
expected_points = np.array([
[0.5, 0], [1, 0], [1.5, 0], [1.5, 1], [1.5, 2], [1, 2], [0.5, 2], [0.5, 1], [0.5, 0],
[0.5, 2], [1, 2], [1.5, 2], [1.75, 3], [1, 3.75], [0.25, 3], [0.5, 2], [1, 2.5],
[0.75, 3], [1, 3.25], [1.25, 3], [1, 2.5], [2.5, 3], [3, 2.5], [3.5, 3], [3, 3.5],
[2.5, 3]])
expected_codes = np.array([1, 2, 2, 2, 2, 2, 2, 2, 79, 1, 2, 2, 2, 2, 2, 79, 1, 2, 2, 2, 79,
1, 2, 2, 2, 79])
expected_offsets = np.array([0, 9, 16, 21, 26])
assert dechunked[0][0] is not None
assert_allclose(dechunked[0][0], expected_points)
if fill_type == FillType.ChunkCombinedCode:
if TYPE_CHECKING:
dechunked = cast(cpy.FillReturn_ChunkCombinedCode, dechunked)
assert dechunked[1][0] is not None
assert_array_equal(dechunked[1][0], expected_codes)
elif fill_type == FillType.ChunkCombinedOffset:
if TYPE_CHECKING:
dechunked = cast(cpy.FillReturn_ChunkCombinedOffset, dechunked)
assert dechunked[1][0] is not None
assert_array_equal(dechunked[1][0], expected_offsets)
elif fill_type == FillType.ChunkCombinedCodeOffset:
if TYPE_CHECKING:
dechunked = cast(cpy.FillReturn_ChunkCombinedCodeOffset, dechunked)
assert dechunked[1][0] is not None
assert_array_equal(dechunked[1][0], expected_codes)
assert dechunked[2][0] is not None
assert_array_equal(dechunked[2][0], [0, 9, 21, 26])
elif fill_type == FillType.ChunkCombinedOffsetOffset:
if TYPE_CHECKING:
dechunked = cast(cpy.FillReturn_ChunkCombinedOffsetOffset, dechunked)
assert dechunked[1][0] is not None
assert_array_equal(dechunked[1][0], expected_offsets)
assert dechunked[2][0] is not None
assert_array_equal(dechunked[2][0], [0, 1, 3, 4])
else:
raise RuntimeError(f"Unexpected fill_type {fill_type}")
@pytest.mark.parametrize("fill_type", FillType.__members__.values())
@pytest.mark.parametrize("chunk_size", (0, 1))
def test_dechunk_filled_empty(z: cpy.CoordinateArray, fill_type: FillType, chunk_size: int) -> None:
cont_gen = contour_generator(z=z, fill_type=fill_type, chunk_size=chunk_size)
filled = cont_gen.filled(3, 4)
dechunked = dechunk_filled(filled, fill_type)
util_test.assert_filled(dechunked, fill_type)
if fill_type in (FillType.OuterCode, FillType.OuterOffset):
assert dechunked == ([], [])
elif fill_type in (FillType.ChunkCombinedCode, FillType.ChunkCombinedOffset):
assert dechunked == ([None], [None])
elif fill_type in (FillType.ChunkCombinedCodeOffset, FillType.ChunkCombinedOffsetOffset):
assert dechunked == ([None], [None], [None])
else:
raise RuntimeError(f"Unexpected fill_type {fill_type}")
@pytest.mark.parametrize("line_type", LineType.__members__.values())
@pytest.mark.parametrize("chunk_size", (0, 2))
def test_dechunk_lines(z: cpy.CoordinateArray, line_type: LineType, chunk_size: int) -> None:
cont_gen = contour_generator(z=z, line_type=line_type, chunk_size=chunk_size)
assert cont_gen.chunk_count == ((2, 2) if chunk_size==2 else (1, 1))
lines = cont_gen.lines(0.5)
dechunked = dechunk_lines(lines, line_type)
util_test.assert_lines(dechunked, line_type)
if chunk_size == 0 or line_type in (LineType.Separate, LineType.SeparateCode):
# Dechunking is a no-op for non-chunked line types.
assert dechunked == lines
else:
nchunks = len(dechunked[0])
assert nchunks == 1
# Note it is important that this contains a closed line loop as well as open line strips,
# and using chunk_size=2 there is an empty chunk.
expected_points = np.array([
[1.5, 0], [1.5, 1], [1.5, 2], [0.5, 2], [0.5, 1], [0.5, 0], [1.5, 2], [1.75, 3],
[1, 3.75], [0.25, 3], [0.5, 2], [2.5, 3], [3, 2.5], [3.5, 3], [3, 3.5], [2.5, 3]])
expected_codes = np.array([1, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 79])
expected_offsets = np.array([0, 3, 6, 11, 16])
if line_type == LineType.ChunkCombinedCode:
if TYPE_CHECKING:
dechunked = cast(cpy.LineReturn_ChunkCombinedCode, dechunked)
assert dechunked[0][0] is not None
assert_allclose(dechunked[0][0], expected_points)
assert dechunked[1][0] is not None
assert_array_equal(dechunked[1][0], expected_codes)
elif line_type == LineType.ChunkCombinedOffset:
if TYPE_CHECKING:
dechunked = cast(cpy.LineReturn_ChunkCombinedOffset, dechunked)
assert dechunked[0][0] is not None
assert_allclose(dechunked[0][0], expected_points)
assert dechunked[1][0] is not None
assert_array_equal(dechunked[1][0], expected_offsets)
elif line_type == LineType.ChunkCombinedNan:
if TYPE_CHECKING:
dechunked = cast(cpy.LineReturn_ChunkCombinedNan, dechunked)
assert dechunked[0][0] is not None
# Convert offsets to int64 to avoid numpy error when mixing signed and unsigned ints.
expected = np.insert(expected_points, expected_offsets[1:-1].astype(np.int64),
[np.nan, np.nan], axis=0)
assert_allclose(dechunked[0][0], expected)
else:
raise RuntimeError(f"Unexpected line_type {line_type}")
@pytest.mark.parametrize("line_type", LineType.__members__.values())
@pytest.mark.parametrize("chunk_size", (0, 1))
def test_dechunk_lines_empty(z: cpy.CoordinateArray, line_type: LineType, chunk_size: int) -> None:
cont_gen = contour_generator(z=z, line_type=line_type, chunk_size=chunk_size)
lines = cont_gen.lines(4)
dechunked = dechunk_lines(lines, line_type)
util_test.assert_lines(dechunked, line_type)
if line_type == LineType.Separate:
assert dechunked == []
elif line_type == LineType.SeparateCode:
assert dechunked == ([], [])
elif line_type in (LineType.ChunkCombinedCode, LineType.ChunkCombinedOffset):
assert dechunked == ([None], [None])
elif line_type == LineType.ChunkCombinedNan:
assert dechunked == ([None],)
else:
raise RuntimeError(f"Unexpected line_type {line_type}")
@pytest.mark.parametrize("fill_type", FillType.__members__.values())
@pytest.mark.parametrize("chunk_size", (0, 2))
def test_dechunk_multi_filled(z: cpy.CoordinateArray, fill_type: FillType, chunk_size: int) -> None:
cont_gen = contour_generator(z=z, fill_type=fill_type, chunk_size=chunk_size)
assert cont_gen.chunk_count == ((2, 2) if chunk_size==2 else (1, 1))
levels = [0.5, 1.5, 2.5]
multi_filled = cont_gen.multi_filled(levels)
multi_dechunked = dechunk_multi_filled(multi_filled, fill_type)
individual_dechunked = [dechunk_filled(filled, fill_type) for filled in multi_filled]
assert isinstance(multi_dechunked, list)
assert isinstance(individual_dechunked, list)
assert len(multi_dechunked) == len(levels) - 1
assert len(individual_dechunked) == len(levels) - 1
for from_multi, from_individual in zip(multi_dechunked, individual_dechunked):
util_test.assert_filled(from_multi, fill_type)
util_test.assert_filled(from_individual, fill_type)
util_test.assert_equal_recursive(from_multi, from_individual)
@pytest.mark.parametrize("line_type", LineType.__members__.values())
@pytest.mark.parametrize("chunk_size", (0, 2))
def test_dechunk_multi_lines(z: cpy.CoordinateArray, line_type: LineType, chunk_size: int) -> None:
cont_gen = contour_generator(z=z, line_type=line_type, chunk_size=chunk_size)
assert cont_gen.chunk_count == ((2, 2) if chunk_size==2 else (1, 1))
levels = [-0.5, 0.5, 1.5]
multi_lines = cont_gen.multi_lines(levels)
multi_dechunked = dechunk_multi_lines(multi_lines, line_type)
individual_dechunked = [dechunk_lines(lines, line_type) for lines in multi_lines]
assert isinstance(multi_dechunked, list)
assert isinstance(individual_dechunked, list)
assert len(multi_dechunked) == len(levels)
assert len(individual_dechunked) == len(levels)
for from_multi, from_individual in zip(multi_dechunked, individual_dechunked):
util_test.assert_lines(from_multi, line_type)
util_test.assert_lines(from_individual, line_type)
util_test.assert_equal_recursive(from_multi, from_individual)
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