|
Last change
on this file since 1310 was
1190,
checked in by Maciej Komosinski, 2 years ago
|
|
Added the "evolalg" module for evolutionary optimization
|
|
File size:
401 bytes
|
| Line | |
|---|
| 1 | import numpy as np |
|---|
| 2 | |
|---|
| 3 | |
|---|
| 4 | def remove_diagonal(arrays): |
|---|
| 5 | numpy_arrays = np.array(arrays) |
|---|
| 6 | n_of_arrays = numpy_arrays.shape[0] |
|---|
| 7 | strided = np.lib.stride_tricks.as_strided |
|---|
| 8 | stride_0, stride_1 = numpy_arrays.strides |
|---|
| 9 | return strided(numpy_arrays.ravel()[1:], |
|---|
| 10 | shape=(n_of_arrays-1, n_of_arrays), |
|---|
| 11 | strides=(stride_0+stride_1, stride_1)).reshape(n_of_arrays, -1) |
|---|
Note: See
TracBrowser
for help on using the repository browser.
