On 1/7/20 3:47 PM, Shashank Tiwari wrote:
In Python3 an operation as follows:
10135.1941 * (10**8)
gives the result: 1013519410000.0001
Similarly, using the pow function also gives the same overflow/underflow
error.
10135.1941 * pow(10,8)
1013519410000.0001
Like multiplication, division of large or very small floating point numbers
gives similar overflow/underflow errors.
Usage of Decimal doesn't seem to fix it either.
from decimal import *
Decimal(10135.1941 * pow(10,8))
Decimal('1013519410000.0001220703125')
Decimal(10135.1941)*pow(10,8)
Decimal('1013519410000.000061700120568')
Decimal(10135.1941) * Decimal(pow(10,8))
Decimal('1013519410000.000061700120568')
Decimal(10135.1941 * (10**8))
Decimal('1013519410000.0001220703125')
How could one do high precision multiplication and division of floating
points numbers (decimals) in Python3 without any overflow/underflow errors?
Thanks, Shanky
You've already polluted your Decimal with floating-point roundoff error before
you even multiply it in any of your examples.
>>> Decimal(10135.1941)
Decimal('10135.1941000000006170012056827545166015625')
Initialize your Decimal from a string instead.
>>> Decimal('10135.1941')
Decimal('10135.1941')
>>> Decimal('10135.1941') * Decimal('1e8')
Decimal('1.01351941E+12')
>>> float(_)
1013519410000.0
--
https://mail.python.org/mailman/listinfo/python-list
