Consider the following function in numba, which just serves as an example:
import numba as nb
import numpy as np
@nb.njit('float64(float64[::1])', cache=True)
def total (x):
''' Sum the elements of an array. '''
total = 0
for i in range(x.shape[0]):
total += x[i]
return total
x = np.arange(100,dtype=np.float64)
print(total(x))
Since I have specified the cache=True option, two files are created in the __pycache__ folder, one .nbc file and one .nbi file. I assume that these files contain all (compiled) information about the function. Let's say I delete the Python file that defines the function (i..e, the above code).
Can I still use compiled/cached functions? In other words, can I import them without having the original .py file that defined them?
@Michael Szczesny's comment about ahead of time compilation is exactly what I wanted. To make it work, I have adapted the code as follows:
from numba.pycc import CC
cc = CC('my_module')
@cc.export('total', 'float64(float64[::1])')
def total (x):
''' Sum the elements of an array. '''
total = 0
for i in range(x.shape[0]):
total += x[i]
return total
if __name__ == "__main__":
cc.compile()
After running this file, a binary module file (.pyd) is saved in the directory and you can use it as follows:
import numpy as np
from my_module import total
x = np.arange(100,dtype=np.float64)
print(total(x))