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