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import numpy as np
DTYPE = np.intc
cdef int clip(int a, int min_value, int max_value):
return min(max(a, min_value), max_value)
def compute(int[:, :] array_1, int[:, :] array_2, int a, int b, int c):
cdef Py_ssize_t x_max = array_1.shape[0]
cdef Py_ssize_t y_max = array_1.shape[1]
# array_1.shape is now a C array, no it's not possible
# to compare it simply by using == without a for-loop.
# To be able to compare it to array_2.shape easily,
# we convert them both to Python tuples.
assert tuple(array_1.shape) == tuple(array_2.shape)
result = np.zeros((x_max, y_max), dtype=DTYPE)
cdef int[:, :] result_view = result
cdef int 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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