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# cython: infer_types=True
import numpy as np
cimport cython
ctypedef fused my_type:
int
double
long long
cdef my_type clip(my_type a, my_type min_value, my_type max_value):
return min(max(a, min_value), max_value)
@cython.boundscheck(False)
@cython.wraparound(False)
def compute(my_type[:, ::1] array_1, my_type[:, ::1] array_2, my_type a, my_type b, my_type c):
x_max = array_1.shape[0]
y_max = array_1.shape[1]
assert tuple(array_1.shape) == tuple(array_2.shape)
if my_type is int:
dtype = np.intc
elif my_type is double:
dtype = np.double
elif my_type is cython.longlong:
dtype = np.longlong
result = np.zeros((x_max, y_max), dtype=dtype)
cdef my_type[:, ::1] result_view = result
cdef my_type tmp
cdef Py_ssize_t x, y
for x in range(x_max):
for y in range(y_max):
tmp = clip(array_1[x, y], 2, 10)
tmp = tmp * a + array_2[x, y] * b
result_view[x, y] = tmp + c
return result
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