#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors. # All rights reserved. # # The full license is in the file LICENSE.txt, distributed with this software. #----------------------------------------------------------------------------- ''' ''' #----------------------------------------------------------------------------- # Boilerplate #----------------------------------------------------------------------------- import logging # isort:skip log = logging.getLogger(__name__) #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Bokeh imports from ..core.has_props import abstract from .transforms import Transform #----------------------------------------------------------------------------- # Globals and constants #----------------------------------------------------------------------------- __all__ = ( 'CategoricalScale', 'LinearScale', 'LogScale', 'Scale', ) #----------------------------------------------------------------------------- # General API #----------------------------------------------------------------------------- [docs]@abstract class Scale(Transform): ''' Base class for ``Scale`` models that represent an invertible computation to be carried out on the client-side. JavaScript implementations should implement the following methods: .. code-block compute(x: number): number { # compute and return the transform of a single value } v_compute(xs: Arrayable<number>): Arrayable<number> { # compute and return the transform of an array of values } invert(sx: number): number { # compute and return the inverse transform of a single value } v_invert(sxs: Arrayable<number>): Arrayable<number> { # compute and return the inverse transform of an array of values } ''' pass class ContinuousScale(Scale): ''' Represent a scale transformation between continuous ranges. ''' pass [docs]class LinearScale(ContinuousScale): ''' Represent a linear scale transformation between continuous ranges. ''' pass [docs]class LogScale(ContinuousScale): ''' Represent a log scale transformation between continuous ranges. ''' pass [docs]class CategoricalScale(Scale): ''' Represent a scale transformation between a categorical source range and continuous target range. ''' pass #----------------------------------------------------------------------------- # Dev API #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # Private API #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # Code #-----------------------------------------------------------------------------