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⚡️ Speed up function plasma by 14% #77

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⚡️ Speed up function plasma by 14% #77

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14 changes: 6 additions & 8 deletions src/bokeh/palettes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -412,13 +412,6 @@

import logging # isort:skip
log = logging.getLogger(__name__)

#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------

# Standard library imports
import math
from copy import deepcopy
from typing import TYPE_CHECKING, TypeAlias

Expand Down Expand Up @@ -1526,7 +1519,12 @@ def linear_palette(palette: Palette, n: int) -> Palette:
"""
if n > len(palette):
raise ValueError(f"Requested {n} colors, function can only return colors up to the base palette's length ({len(palette)})")
return tuple( palette[math.floor(i)] for i in np.linspace(0, len(palette)-1, num=n) )
# Optimization: avoid calling math.floor() for every index and iterating Python generator,
# use NumPy to get all integer indices in a vectorized manner, and use tuple comprehension.
indices = np.linspace(0, len(palette) - 1, num=n)
# Use np.floor/astype outside the generator to make indexing fast and avoid repeated math.floor calls
idx = indices.astype(int)
return tuple(palette[i] for i in idx)

def diverging_palette(palette1: Palette, palette2: Palette, n: int, midpoint: float = 0.5) -> Palette:
""" Generate a new palette by combining exactly two input palettes.
Expand Down