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Code Editor : easings.py
# vim: set et sw=4 sts=4 fileencoding=utf-8: # # The colorzero color library # Copyright (c) 2016-2018 Dave Jones <dave@waveform.org.uk> # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of the copyright holder nor the # names of its contributors may be used to endorse or promote products # derived from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. "Defines various easing functions for :meth:`Color.gradient`." from __future__ import ( unicode_literals, print_function, division, absolute_import, ) from collections import namedtuple def linear(steps): "Linear easing function; yields *steps* values between 0.0 and 1.0" for t in range(steps): yield t / (steps - 1) def ease_in(steps): "Quadratic ease-in function; yields *steps* values between 0.0 and 1.0" for t in linear(steps): yield t ** 2 def ease_out(steps): "Quadratic ease-out function; yields *steps* values between 0.0 and 1.0" for t in linear(steps): yield t * (2 - t) def ease_in_out(steps): "Quadratic ease-in-out function; yields *steps* values between 0.0 and 1.0" for t in linear(steps): yield 2 * t * t if t < 0.5 else (4 - 2 * t) * t - 1
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