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bugPotential issues with the zarr-python libraryPotential issues with the zarr-python library
Description
Zarr version
3.1.5
Numcodecs version
0.16.5
Python Version
3.13.9
Operating System
Linux
Installation
uv
Description
When zarr arrays within groups are sliced, type checking with ty produces an invalid-argument-type error. It is expected to produce no such error.
Steps to reproduce
Here is a minimal example to reproduce the error:
import numpy as np
import zarr
from zarr.storage import MemoryStore
store = MemoryStore()
group = zarr.create_group(store, path="group")
array = group.create_array(name="array", data=np.arange(10))
array = group["array"]
array = np.asarray(array[:5])
print(array)Running ty check produces the following:
error[invalid-argument-type]: Method `__getitem__` of type `bound method Group.__getitem__(path: str) -> Array[Any] | Group` cannot be called with key of type `slice[None, Literal[5], None]` on object of type `Group`
--> test.py:9:20
|
7 | array = group.create_array(name="array", data=np.arange(10))
8 | array = group["array"]
9 | array = np.asarray(array[:5])
| ^^^^^
10 | print(array)
|
info: rule `invalid-argument-type` is enabled by default
Found 1 diagnosticRunning the script produces the expected output:
[0 1 2 3 4]Additional output
No response
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bugPotential issues with the zarr-python libraryPotential issues with the zarr-python library