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This repository was archived by the owner on Sep 9, 2026. It is now read-only.
NdArray inconsistently coerces floats and ints #1914
Description
Initial Checks
- I have read and followed the docs and still think this is a bug
Description
I would expect floats and ints to be consistently either able to be coerced to NdArrays or not.
Floats cannot be coerced.
Ints can be coerced - but not in the expected way. It seems to use np.empty to initialize an array with N element where N is the int being coerced.
Generally, I would expect that an int or a float would be coerced to a 1-dimensional array with a single element.
Example Code
from docarray import BaseDoc
from docarray.typing import NdArray
class MyDoc(BaseDoc):
arr: NdArray
MyDoc(arr=10).arr # Undefined behaviour; uninitialized array
>> NdArray([7.17677097e-312, 1.77863633e-322, 0.00000000e+000,
0.00000000e+000, 5.28555753e+180, 5.98847221e+174,
5.92957407e-038, 7.42262642e-091, 2.80246406e-032,
nan])
MyDoc(arr=10.0).arr # ValidationErrorI would expect instead:
MyDoc(arr=10).arr
>> NdArray([10])
MyDoc(arr=10.0).arr
>> NdArray([10.0])
Python, DocArray & OS Version
Python 3.11.9
docarray 0.40.0
Windows 10
Activity
[-]NdArray inconsistently coerces floats and int[/-][+]NdArray inconsistently coerces floats and inst[/+][-]NdArray inconsistently coerces floats and inst[/-][+]NdArray inconsistently coerces floats and ints[/+]JoanFM commentedon Dec 6, 2024
Hey @nathanjmcdougall ,
Thanks for reporting the issue. We will look into it. Any chance you would be able to contribute the feature?
nathanjmcdougall commentedon Dec 6, 2024
I've not contributed to DocArray before - I'll take a look at the codebase this coming week sometime to see whether this is something within my capacity.
23Tarandeep57 commentedon Nov 24, 2025
The code was using np.ndarray(value) which treats integers as shape specifications, not values. changed the code to Check for scalar types first and use np.array([value]) to explicitly wrap them in 1D arrays.