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AttributeError when taking sine of huge number #13875
Description
import numpy as np
np.sin(70**11)Error message:
Traceback (most recent call last):
File "a.py", line 2, in <module>
np.sin(70**11)
AttributeError: 'int' object has no attribute 'sin'
Numpy/Python version information:
1.16.4 3.7.2 (tags/v3.7.2:9a3ffc0492, Dec 23 2018, 23:09:28) [MSC v.1916 64 bit (AMD64)]
Activity
eric-wieser commentedon Jun 30, 2019
Fixed in #12700 to produce a better error message, now gives:
Passing a float as
np.sin(70.0**11)will work finecool-RR commentedon Jun 30, 2019
Maybe I'm missing something, but the "fixed" version still seems like a completely opaque error message.
Someone runs
np.sin(7)and it works, and suddenly for a big number it doesn't work. Shouldn't the error message be something likeInput is too large to calculate sin, use float?seberg commentedon Jun 30, 2019
Until we get rid of automatic coercion to an object array this is probably about as good as it will get. We could maybe make the error message spell out a bit more things, but we cannot just put in "input is too large" or so, at the point where the error message happens that would just be guessing. Although maybe you can suggest a wording which makes things easier.
cool-RR commentedon Jun 30, 2019
Can't the error catching logic check whether this is an int which is above a certain threshold, and then use the "int is too large" message?
eric-wieser commentedon Jun 30, 2019
No, because
np.sin(np.array(1, dtype=object))has the same problem.The cause here is:
70**11is not an array, so is coerced to one70**11is too large to fit in anint64array, so anobjectarray types is chosennp.sin(object_array)is only supported if the objects within have asinmethod