What is Python RuntimeWarning: overflow encountered in scalar multiply?

In Python, numeric operations can sometimes trigger a “RuntimeWarning: overflow encountered in a scalar.” This warning occurs when the computed result is too large for the chosen data type.

Error Syntax

RuntimeWarning: overflow encountered in scalar multiply

Below are the reasons for the occurrence of Python Runtimewarning: Overflow Encountered In Scalars in Python:

Using Larger Data Types

Below, code uses NumPy to calculate the square of a large integer, anticipating a potential overflow error, and prints any encountered runtime warnings.

Python3
import numpy as np

large_integer = np.int64(10) ** 20
result = large_integer * large_integer
print(result)

Output

py:4: RuntimeWarning: overflow encountered in scalar multiply
  result = large_integer * large_integer
-5047021154770878464

Using NumPy’s np.seterr

Below, code uses a computation with NumPy, setting it to raise an overflow warning. It then tries to perform a calculation that triggers the warning and prints the warning message if it occurs.

Python3
import numpy as np

try:
    np.seterr(over='raise')
    result = np.array([1.0e308]) * 2  # This will trigger the warning
except RuntimeWarning as e:
    print(f"Output 3: {e}")

Output

Review\ppp\gfg\main.py", line 5, in <module>
    result = np.array([1.0e308]) * 2  # This will trigger the warning
             ~~~~~~~~~~~~~~~~~~~~^~~
Floatingpoint: Overflow Encountered In Scalars Multiply

How To Fix – Python RuntimeWarning: overflow encountered in scalar

One such error that developers may encounter is the “Python RuntimeWarning: Overflow Encountered In Scalars”. In Python, numeric operations can sometimes trigger a “RuntimeWarning: overflow encountered in a scalar.” In this article, we will see what is Python “Python Runtimewarning: Overflow Encountered In Scalars” in Python and how to fix it.

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