poor error message when dtype is too small for scalar multiplication #12296
Description
Minimal Complete Verifiable Example:
In [12]: import dask.array as da
In [13]: da.ones(2, dtype=da.int8) * 2
Out[13]: dask.array<mul, shape=(2,), dtype=int8, chunksize=(2,), chunktype=numpy.ndarray>
In [14]: da.ones(2, dtype=da.int8) * 8
Out[14]: dask.array<mul, shape=(2,), dtype=int8, chunksize=(2,), chunktype=numpy.ndarray>
In [15]: da.ones(2, dtype=da.int8) * 128
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[15], line 1
----> 1 da.ones(2, dtype=da.int8) * 128
TypeError: unsupported operand type(s) for *: 'Array' and 'int'NumPy does better:
In [1]: import numpy as np
In [2]: np.ones(2, dtype=np.int8) * 128
---------------------------------------------------------------------------
OverflowError Traceback (most recent call last)
Cell In[2], line 1
----> 1 np.ones(2, dtype=np.int8) * 128
OverflowError: Python integer 128 out of bounds for int8Environment:
Environment: array-api-cpu
Name Version Build Size Kind Source
_openmp_mutex 4.5 7_kmp_llvm 8.13 KiB conda https://prefix.dev/conda-forge
array-api-strict 2.4.1 pyhe01879c_0 61.06 KiB conda https://prefix.dev/conda-forge
asttokens 3.0.1 pyhd8ed1ab_0 28.12 KiB conda https://prefix.dev/conda-forge
asv 0.6.4 py313hb4b7877_2 325.77 KiB conda https://prefix.dev/conda-forge
asv_runner 0.2.1 pyhd8ed1ab_0 42.70 KiB conda https://prefix.dev/conda-forge
attrs 25.4.0 pyhcf101f3_1 63.24 KiB conda https://prefix.dev/conda-forge
backports.zstd 1.2.0 py313hf42fe89_0 238.96 KiB conda https://prefix.dev/conda-forge
blas-devel 3.11.0 4_h11c0a38_openblas 18.27 KiB conda https://prefix.dev/conda-forge
brotli-python 1.2.0 py313hde1f3bb_1 351.14 KiB conda https://prefix.dev/conda-forge
bzip2 1.0.8 hd037594_8 122.13 KiB conda https://prefix.dev/conda-forge
c-ares 1.34.6 hc919400_0 176.10 KiB conda https://prefix.dev/conda-forge
ca-certificates 2025.11.12 hbd8a1cb_0 148.86 KiB conda https://prefix.dev/conda-forge
certifi 2025.11.12 pyhd8ed1ab_0 153.45 KiB conda https://prefix.dev/conda-forge
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fmt 12.0.0 h669d743_0 175.51 KiB conda https://prefix.dev/conda-forge
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hpack 4.1.0 pyhd8ed1ab_0 30.01 KiB conda https://prefix.dev/conda-forge
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libopenblas 0.3.30 openmp_ha158390_3 4.09 MiB conda https://prefix.dev/conda-forge
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mpc 1.3.1 h8f1351a_1 102.31 KiB conda https://prefix.dev/conda-forge
mpfr 4.2.1 hb693164_3 337.42 KiB conda https://prefix.dev/conda-forge
mpmath 1.3.0 pyhd8ed1ab_1 429.40 KiB conda https://prefix.dev/conda-forge
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networkx 3.6.1 pyhcf101f3_0 1.51 MiB conda https://prefix.dev/conda-forge
nomkl 1.0 h5ca1d4c_0 3.75 KiB conda https://prefix.dev/conda-forge
numba 0.63.1 py313ha873477_0 5.47 MiB conda https://prefix.dev/conda-forge
numpy 2.3.5 py313h9771d21_0 6.48 MiB conda https://prefix.dev/conda-forge
openblas 0.3.30 openmp_hea878ba_3 3.00 MiB conda https://prefix.dev/conda-forge
openssl 3.6.0 h5503f6c_0 2.96 MiB conda https://prefix.dev/conda-forge
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pybind11-global 3.0.1 pyhc7ab6ef_0 223.51 KiB conda https://prefix.dev/conda-forge
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python 3.13.11 hfc2f54d_100_cp313 12.32 MiB conda https://prefix.dev/conda-forge
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pytorch 2.9.1 cpu_generic_py313_h6bf06e3_1 23.18 MiB conda https://prefix.dev/conda-forge
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scipy 1.16.3 py313h0d10b07_1 13.23 MiB conda https://prefix.dev/conda-forge
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tk 8.6.13 h892fb3f_3 2.98 MiB conda https://prefix.dev/conda-forge
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