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further simplification to the alt solution of 87

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The initial formulation contained a redundant `swapaxes`.
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Gattocrucco
2025-08-26 00:16:34 +02:00
parent 59a403da66
commit 301e0eb61e
3 changed files with 3 additions and 3 deletions
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2
100_Numpy_exercises_with_hints_with_solutions.md
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@@ -1087,7 +1087,7 @@ windows = np.lib.stride_tricks.sliding_window_view(Z, (k, k))
S = windows[::k, ::k, ...].sum(axis=(-2, -1)) S = windows[::k, ::k, ...].sum(axis=(-2, -1))
# alternative solution (by @Gattocrucco) # alternative solution (by @Gattocrucco)
S = Z.reshape(4, 4, 4, 4).swapaxes(1, 2).sum((2, 3)) S = Z.reshape(4, 4, 4, 4).sum((1, 3))
``` ```
#### 88. How to implement the Game of Life using numpy arrays? (★★★) #### 88. How to implement the Game of Life using numpy arrays? (★★★)
`No hints provided...` `No hints provided...`

2
100_Numpy_exercises_with_solutions.md
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@@ -1087,7 +1087,7 @@ windows = np.lib.stride_tricks.sliding_window_view(Z, (k, k))
S = windows[::k, ::k, ...].sum(axis=(-2, -1)) S = windows[::k, ::k, ...].sum(axis=(-2, -1))
# alternative solution (by @Gattocrucco) # alternative solution (by @Gattocrucco)
S = Z.reshape(4, 4, 4, 4).swapaxes(1, 2).sum((2, 3)) S = Z.reshape(4, 4, 4, 4).sum((1, 3))
``` ```
#### 88. How to implement the Game of Life using numpy arrays? (★★★) #### 88. How to implement the Game of Life using numpy arrays? (★★★)

2
source/exercises100.ktx
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@@ -1334,7 +1334,7 @@ windows = np.lib.stride_tricks.sliding_window_view(Z, (k, k))
S = windows[::k, ::k, ...].sum(axis=(-2, -1)) S = windows[::k, ::k, ...].sum(axis=(-2, -1))
# alternative solution (by @Gattocrucco) # alternative solution (by @Gattocrucco)
S = Z.reshape(4, 4, 4, 4).swapaxes(1, 2).sum((2, 3)) S = Z.reshape(4, 4, 4, 4).sum((1, 3))
< q88 < q88
How to implement the Game of Life using numpy arrays? (★★★) How to implement the Game of Life using numpy arrays? (★★★)