Initial Checks
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
Affected Components
Initial Checks
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.emptyto 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
I would expect instead:
Python, DocArray & OS Version
Affected Components