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(feat): use np.zeros
for buffer creation with fill_value=0
#3082
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np.zeros
for buffer creation fill_value=0
np.zeros
for buffer creation with fill_value=0
out of curiosity, is there any performance difference between |
d-v-b
reviewed
May 22, 2025
Not much :/ In [1]: import numpy as np
In [2]: %timeit d = np.zeros((10_000, 10_000), dtype=np.float32, order="C"); d[:] = 1
35.1 ms ± 934 μs per loop (mean ± std. dev. of 7 runs, 10 loops each)
In [3]: %timeit np.full((10_000, 10_000), dtype=np.float32, fill_value=1, order="C")
37.7 ms ± 2.15 ms per loop (mean ± std. dev. of 7 runs, 10 loops each) |
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@d-v-b I think the failing test is unrelated to this PR. I'm also seeing it locally on |
dstansby
approved these changes
May 23, 2025
@meeseeksdev backport to 3.0.9 |
Can't Dooooo.... It seem like this is already backported (commit is empty).I won't do anything. MrMeeseeks out. |
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I was profiling code and noticed a non-trivial amount of time spent on
np.full
with afill_value=0
so I did a little digging and at least on my machine:For example:
zarr-python/src/zarr/core/array.py
Lines 1285 to 1290 in 481550a
and
zarr-python/src/zarr/codecs/sharding.py
Lines 441 to 443 in 481550a
are both points where this happens
TODO:
docs/user-guide/*.rst
changes/