I try to asign a float to the multiprocessing.Value shared ctype as follows:
import multiprocessing
import random
test_float = multiprocessing.Value('f', 0)
i = random.randint(1,10000)/(random.randint(1,10000))
test_float.value = i
print("i: type = {}, value = {}".format(type(i), i))
print("test_float: type = {}, value = {}".format(type(test_float.value), test_float.value))
print("i == test_float: {}".format(i == test_float.value))
However, the float stored in multiprocessing.Value is != the input float:
>>> i: type = <class 'float'>, value = 1.480021216407355
>>> test_float: type = <class 'float'>, value = 1.4800212383270264
>>> i == test_float: False
Whats the problem here?
EDIT: Found the solution (see answers) However, I do not understand, why a "double" is the correct type here and not a "float". If someone can elaborate on that and include the solution, I will mark it as the correct answer.
Python floats are
double-precision floats
, or what other languages would calldouble
's. That is why you need to use'd'
:'f'
does not correspond to the precision level python uses forfloat
'sThe solution is to set the
typecode_or_type
ofmultiprocessing.Value
to be a double:Allowed typecodes for
multiprocessing.Value
:From the documentation.