Add a benchmark for take #1519
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Add a benchmark for take #1519
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| # def test_shuffle(small_client, new_array): | ||
| # n = 2000 | ||
| # chunk_n = 250 | ||
| # x = new_array((n, n, n), chunks=(chunk_n, chunk_n, chunk_n)) | ||
| # indexer = _create_indexer(n, chunk_n) | ||
| # x.shuffle(indexer, axis=1).sum().compute() |
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| # def test_shuffle(small_client, new_array): | |
| # n = 2000 | |
| # chunk_n = 250 | |
| # x = new_array((n, n, n), chunks=(chunk_n, chunk_n, chunk_n)) | |
| # indexer = _create_indexer(n, chunk_n) | |
| # x.shuffle(indexer, axis=1).sum().compute() |
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should have converted to draft, I don't want to merge this before shuffle is available
| def test_take(small_client, new_array): | ||
| n = 2000 | ||
| chunk_n = 250 | ||
| x = new_array((n, n, n), chunks=(chunk_n, chunk_n, chunk_n)) |
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nit: Annotating some data sizes would be interesting.
| return indexer | ||
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| def test_take(small_client, new_array): |
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Is this test based on some real-world use case? If so, some context would be helpful.
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this is the smallest thing that the current implementation can still handle in reasonable time... everything bigger blows up
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