Traktor/myenv/Lib/site-packages/contourpy/util/bokeh_util.py
2024-05-23 01:57:24 +02:00

75 lines
2.7 KiB
Python

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