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75 lines
2.7 KiB
Python
75 lines
2.7 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING, cast
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from contourpy import FillType, LineType
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from contourpy.array import offsets_from_codes
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from contourpy.convert import convert_lines
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from contourpy.dechunk import dechunk_lines
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if TYPE_CHECKING:
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from contourpy._contourpy import (
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CoordinateArray,
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FillReturn,
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LineReturn,
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LineReturn_ChunkCombinedNan,
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)
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def filled_to_bokeh(
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filled: FillReturn,
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fill_type: FillType,
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) -> tuple[list[list[CoordinateArray]], list[list[CoordinateArray]]]:
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xs: list[list[CoordinateArray]] = []
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ys: list[list[CoordinateArray]] = []
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if fill_type in (FillType.OuterOffset, FillType.ChunkCombinedOffset,
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FillType.OuterCode, FillType.ChunkCombinedCode):
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have_codes = fill_type in (FillType.OuterCode, FillType.ChunkCombinedCode)
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for points, offsets in zip(*filled):
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if points is None:
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continue
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if have_codes:
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offsets = offsets_from_codes(offsets)
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xs.append([]) # New outer with zero or more holes.
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ys.append([])
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for i in range(len(offsets)-1):
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xys = points[offsets[i]:offsets[i+1]]
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xs[-1].append(xys[:, 0])
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ys[-1].append(xys[:, 1])
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elif fill_type in (FillType.ChunkCombinedCodeOffset, FillType.ChunkCombinedOffsetOffset):
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for points, codes_or_offsets, outer_offsets in zip(*filled):
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if points is None:
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continue
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for j in range(len(outer_offsets)-1):
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if fill_type == FillType.ChunkCombinedCodeOffset:
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codes = codes_or_offsets[outer_offsets[j]:outer_offsets[j+1]]
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offsets = offsets_from_codes(codes) + outer_offsets[j]
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else:
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offsets = codes_or_offsets[outer_offsets[j]:outer_offsets[j+1]+1]
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xs.append([]) # New outer with zero or more holes.
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ys.append([])
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for k in range(len(offsets)-1):
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xys = points[offsets[k]:offsets[k+1]]
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xs[-1].append(xys[:, 0])
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ys[-1].append(xys[:, 1])
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else:
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raise RuntimeError(f"Conversion of FillType {fill_type} to Bokeh is not implemented")
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return xs, ys
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def lines_to_bokeh(
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lines: LineReturn,
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line_type: LineType,
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) -> tuple[CoordinateArray | None, CoordinateArray | None]:
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lines = convert_lines(lines, line_type, LineType.ChunkCombinedNan)
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lines = dechunk_lines(lines, LineType.ChunkCombinedNan)
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if TYPE_CHECKING:
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lines = cast(LineReturn_ChunkCombinedNan, lines)
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points = lines[0][0]
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if points is None:
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return None, None
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else:
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return points[:, 0], points[:, 1]
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