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This content originally appeared on CodeSource.io and was authored by Deven In this article, you will learn how to solve overflow encountered in long_scalars error in Python. Let’s look at a code example that produces the same error. import numpy as np np.seterr(all='warn') B = np.array([144],dtype='double') b=B[-1] print ("Hello python:", b**b)Output /tmp/sessions/5e568ca1c8f93f65/main.py:9: RuntimeWarning: overflow encountered in double_scalars print ("Hello python:", b**b)In order to solve overflow encountered in long_scalars error in Python you need choose appropriate dtypes so that no operation overflows as shown in the code snippet below: import numpy as np np.seterr(all='warn') B = np.array([143],dtype='double') b=B[-1] print ("Hello python:", b**b)Output Hello python: 1.6332525972973913e+308please note that the maximum value storable in an int32 is 2**31-1. Related ArticlesSolved – runtimeWarning: overflow encountered in…Solved – runtimewarning: invalid value encountered…Solved – Divide by zero encountered in double_scalarsSolved – ValueError: could not convert string to floatSolved – IndexError: list index out of rangeSolved – NameError: name is not definedSolved – SyntaxError: ‘return’ outside functionSolved – type of expression is ambiguous without…Solved – program received signal sigsegv: segmentation faultSolved- python unsupported operand typeSolved – only integer scalar arrays can be converted…Solved – valueerror: could not convert string to float:Solved – Scalar structure required for this assignmentSolved – can’t multiply sequence by non-int of type ‘float’Solved – cannot set property ‘innerhtml’ of nullSolved – valueerror: if using all scalar values, you…The post Solved – overflow encountered in long_scalars appeared first on CodeSource.io. This content originally appeared on CodeSource.io and was authored by Deven Print Share Comment Cite Upload Translate![]() |
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