At least in my opinion, this sort of approach really shines when making
higher-dimensional arrays. These would all be equivalent (the | at the
beginning and end are just to make it easier to align indentation, they
aren't required):
a = [|||| 48, 11, 141, 13, -60, -37, 58, -52, -29, 134
|| -6, 96, -66, 137, -59, -147, -118, -104, -123, -7
||| -103, 50, -89, -12, 28, -12, 119, -131, -73, 21
|| -58, 105, 25, -138, -106, -118, -29, -49, -63, -56
|||| -43, -34, 101, -115, 41, 121, 3, -117, 101, -145
|| 100, -128, 76, 128, -113, -90, 52, -91, -72, -15
||| 22, -65, -118, 134, -58, 55, -73, -118, -53, -60
|| -85, -136, 83, -66, -35, -117, -71, 115, -56, 133
||||]
b = [|||| 48, 11, 141, 13, -60, -37, 58, -52, -29, 134 |
| -6, 96, -66, 137, -59, -147, -118, -104, -123, -7 |
|
| -103, 50, -89, -12, 28, -12, 119, -131, -73, 21 |
| -58, 105, 25, -138, -106, -118, -29, -49, -63, -56 |
||
| -43, -34, 101, -115, 41, 121, 3, -117, 101, -145 |
| 100, -128, 76, 128, -113, -90, 52, -91, -72, -15 |
|
| 22, -65, -118, 134, -58, 55, -73, -118, -53, -60 |
| -85, -136, 83, -66, -35, -117, -71, 115, -56, 133 ||||]
Compared to the current approach:
a = np.ndarray([[[[48, 11, 141, 13, -60, -37, 58, -52, -29, 134],
[-6, 96, -66, 137, -59, -147, -118, -104, -123, -7]],
[[-103, 50, -89, -12, 28, -12, 119, -131, -73, 21],
[-58, 105, 25, -138, -106, -118, -29, -49, -63, -56]]],
[[[-43, -34, 101, -115, 41, 121, 3, -117, 101, -145],
[100, -128, 76, 128, -113, -90, 52, -91, -72, -15]],
[[22, -65, -118, 134, -58, 55, -73, -118, -53, -60],
[-85, -136, 83, -66, -35, -117, -71, 115, -56, 133]]]])
I think both of the new examples are considerably clearer than the current
approach.
Does anyone have any questions or thoughts?
