ai-content-maker/.venv/Lib/site-packages/contourpy/util/mpl_util.py

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2024-05-03 04:18:51 +03:00
from __future__ import annotations
from typing import TYPE_CHECKING, cast
import matplotlib.path as mpath
import numpy as np
from contourpy import FillType, LineType
from contourpy.array import codes_from_offsets
if TYPE_CHECKING:
from contourpy._contourpy import FillReturn, LineReturn, LineReturn_Separate
def filled_to_mpl_paths(filled: FillReturn, fill_type: FillType) -> list[mpath.Path]:
if fill_type in (FillType.OuterCode, FillType.ChunkCombinedCode):
paths = [mpath.Path(points, codes) for points, codes in zip(*filled) if points is not None]
elif fill_type in (FillType.OuterOffset, FillType.ChunkCombinedOffset):
paths = [mpath.Path(points, codes_from_offsets(offsets))
for points, offsets in zip(*filled) if points is not None]
elif fill_type == FillType.ChunkCombinedCodeOffset:
paths = []
for points, codes, outer_offsets in zip(*filled):
if points is None:
continue
points = np.split(points, outer_offsets[1:-1])
codes = np.split(codes, outer_offsets[1:-1])
paths += [mpath.Path(p, c) for p, c in zip(points, codes)]
elif fill_type == FillType.ChunkCombinedOffsetOffset:
paths = []
for points, offsets, outer_offsets in zip(*filled):
if points is None:
continue
for i in range(len(outer_offsets)-1):
offs = offsets[outer_offsets[i]:outer_offsets[i+1]+1]
pts = points[offs[0]:offs[-1]]
paths += [mpath.Path(pts, codes_from_offsets(offs - offs[0]))]
else:
raise RuntimeError(f"Conversion of FillType {fill_type} to MPL Paths is not implemented")
return paths
def lines_to_mpl_paths(lines: LineReturn, line_type: LineType) -> list[mpath.Path]:
if line_type == LineType.Separate:
if TYPE_CHECKING:
lines = cast(LineReturn_Separate, lines)
paths = []
for line in lines:
# Drawing as Paths so that they can be closed correctly.
closed = line[0, 0] == line[-1, 0] and line[0, 1] == line[-1, 1]
paths.append(mpath.Path(line, closed=closed))
elif line_type in (LineType.SeparateCode, LineType.ChunkCombinedCode):
paths = [mpath.Path(points, codes) for points, codes in zip(*lines) if points is not None]
elif line_type == LineType.ChunkCombinedOffset:
paths = []
for points, offsets in zip(*lines):
if points is None:
continue
for i in range(len(offsets)-1):
line = points[offsets[i]:offsets[i+1]]
closed = line[0, 0] == line[-1, 0] and line[0, 1] == line[-1, 1]
paths.append(mpath.Path(line, closed=closed))
elif line_type == LineType.ChunkCombinedNan:
paths = []
for points in lines[0]:
if points is None:
continue
nan_offsets = np.nonzero(np.isnan(points[:, 0]))[0]
nan_offsets = np.concatenate([[-1], nan_offsets, [len(points)]])
for s, e in zip(nan_offsets[:-1], nan_offsets[1:]):
line = points[s+1:e]
closed = line[0, 0] == line[-1, 0] and line[0, 1] == line[-1, 1]
paths.append(mpath.Path(line, closed=closed))
else:
raise RuntimeError(f"Conversion of LineType {line_type} to MPL Paths is not implemented")
return paths