- 25 Dec, 2018 9 commits
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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- 24 Dec, 2018 5 commits
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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- 21 Dec, 2018 4 commits
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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- 19 Dec, 2018 1 commit
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Kirill Smelkov authored
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- 28 Nov, 2018 1 commit
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Kirill Smelkov authored
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- 27 Nov, 2018 3 commits
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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- 26 Nov, 2018 1 commit
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Kirill Smelkov authored
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- 23 Nov, 2018 1 commit
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Kirill Smelkov authored
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- 22 Nov, 2018 3 commits
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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- 20 Nov, 2018 1 commit
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Kirill Smelkov authored
Evn though the kernel not generally releasing mmap_sem on IO caused by pagefault.
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- 30 Oct, 2018 1 commit
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Kirill Smelkov authored
* master: lib.xnumpy.structured: New utility to create structured view of an array bigarray: Factor-out our custom numpy.lib.stride_tricks.as_strided-alike into lib/xnumpy.py
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- 29 Oct, 2018 9 commits
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Kirill Smelkov authored
Structured creates view of the array interpreting its minor axis as fully covered by a dtype. It is similar to arr.view(dtype) + corresponding reshape, but does not have limitations of ndarray.view(). For example: In [1]: a = np.arange(3*3, dtype=np.int32).reshape((3,3)) In [2]: a Out[2]: array([[0, 1, 2], [3, 4, 5], [6, 7, 8]], dtype=int32) In [3]: b = a[:2,:2] In [4]: b Out[4]: array([[0, 1], [3, 4]], dtype=int32) In [5]: dtxy = np.dtype([('x', np.int32), ('y', np.int32)]) In [6]: dtxy Out[6]: dtype([('x', '<i4'), ('y', '<i4')]) In [7]: b.view(dtxy) --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-66-af98529aa150> in <module>() ----> 1 b.view(dtxy) ValueError: To change to a dtype of a different size, the array must be C-contiguous In [8]: structured(b, dtxy) Out[8]: array([(0, 1), (3, 4)], dtype=[('x', '<i4'), ('y', '<i4')]) Structured always creates view and never copies data. Here is original context where separately playing with .shape and .dtype was not enough, since it was creating array copy and OOM'ing the machine: klaus/wendelin@cbe4938b
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Kirill Smelkov authored
We are going to use this code in another place, so move this out to dommon place as a preparatory step first. On a related note: Since ArrayRef is generic and quite independent from BigArray (it only supports it, but equally it supports just other - e.g. plain arrays), the proper place for it might be also to be lib/xnumpy.py . We might get to this topic a bit later.
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
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Kirill Smelkov authored
* nxd/master: bigarray: RAMArray bigarray/tests: Factor out a way to spcify on which BigFile/BigFileH an array is tested into fixture parameter
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Kirill Smelkov authored
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- 26 Oct, 2018 1 commit
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Kirill Smelkov authored
Currently fails with: /home/kirr/src/wendelin/wendelin.core/lib/xnumpy.py in restructure(arr, dtype) 82 print 'stridev:', stridev 83 #return np.ndarray.__new__(type(arr), shape, dtype, buffer(arr), 0, stridev) ---> 84 return np.ndarray(shape, dtype, buffer(arr), 0, stridev) TypeError: expected a single-segment buffer object
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