Closed
Description
Zarr version
v2.17.0, 2.18.x
Numcodecs version
v0.12.1
Python Version
3.10.0
Operating System
Linux/Mac
Installation
Using pip3
in a venv
Description
There appears to be a regression from v0.17.x to v0.18.0 that was not resolved in v0.18.1 or v0.18.2 when indexing a zarr array with size-1 dimensions.
Steps to reproduce
The below works on zarr==2.17.0
, breaks on zarr==2.18.1
def min_example():
import zarr
import numpy as np
store = zarr.ZipStore("temp.zip", mode="w")
arr = zarr.zeros(shape=(100, 200, 10), chunks=(100, 200, 1), compressor=None, store=store, dtype='u1')
arr[:, :, :] = np.random.randint(0, 255, (100, 200, 10))
store.close()
zf = zarr.open("temp.zip", "r")
print(zf[:, :, 1])
Additional output
The error on 2.18.1 is:
ValueError: could not broadcast input array from shape (100,200,1) into shape (100,200)