|
56 | 56 | ------- |
57 | 57 | out : ndarray |
58 | 58 | The drawn samples, arranged according to `shape`. If the |
59 | | - shape given is (m,n,...), then the shape of `out` is is |
| 59 | + shape given is (m,n,...), then the shape of `out` is |
60 | 60 | (m,n,...,N). |
61 | 61 |
|
62 | 62 | In other words, each entry ``out[i,j,...,:]`` is an N-dimensional |
@@ -371,7 +371,7 @@ def test_str(): |
371 | 371 | ------- |
372 | 372 | out : ndarray |
373 | 373 | The drawn samples, arranged according to `shape`. If the |
374 | | - shape given is (m,n,...), then the shape of `out` is is |
| 374 | + shape given is (m,n,...), then the shape of `out` is |
375 | 375 | (m,n,...,N). |
376 | 376 |
|
377 | 377 | In other words, each entry ``out[i,j,...,:]`` is an N-dimensional |
@@ -503,7 +503,7 @@ def test_sphinx_str(): |
503 | 503 |
|
504 | 504 | out : ndarray |
505 | 505 | The drawn samples, arranged according to `shape`. If the |
506 | | - shape given is (m,n,...), then the shape of `out` is is |
| 506 | + shape given is (m,n,...), then the shape of `out` is |
507 | 507 | (m,n,...,N). |
508 | 508 |
|
509 | 509 | In other words, each entry ``out[i,j,...,:]`` is an N-dimensional |
|
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