b8a5e5db6c2c0ff9540d84c11c05b21fc6023ae6,skimage/color/colorconv.py,,rgba2rgb,#,163
Before Change
arr = _prepare_rgba_array(rgba)
if isinstance(background, tuple) and len(background) != 3:
raise ValueError("the background must be a tuple with 3 items - the "
"RGB color of the background. Got {0} items."
.format(len(background)))
alpha = arr[..., -1]
channels = arr[..., :-1]
out = np.empty_like(channels)
After Change
if len(background) != 3:
raise ValueError("background must be an array-like containing 3 RGB "
f"values. Got {len(background)} items")
if np.any(background < 0) or np.any(background > 1):
raise ValueError("background RGB values must be floats between "
"0 and 1.")
background = background[np.newaxis, ...]
alpha = arr[..., -1, np.newaxis]
channels = arr[np.newaxis, ..., :-1]
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances
Project Name: scikit-image/scikit-image
Commit Name: b8a5e5db6c2c0ff9540d84c11c05b21fc6023ae6
Time: 2020-05-04
Author: rfezzani@gmail.com
File Name: skimage/color/colorconv.py
Class Name:
Method Name: rgba2rgb
Project Name: craffel/mir_eval
Commit Name: 3241912f4160c47e55e25f5812c8493d1f581fca
Time: 2014-04-23
Author: brm2132@columbia.edu
File Name: mir_eval/util.py
Class Name:
Method Name: validate_intervals
Project Name: scikit-learn-contrib/categorical-encoding
Commit Name: 970491cd9b3cb21b043c22b50b4d09f9dd2481a7
Time: 2018-10-19
Author: jan@motl.us
File Name: category_encoders/woe.py
Class Name: WOEEncoder
Method Name: _score