Decorators

The package includes a @extend_to_matrices decorator for function that takes in an integer or floating-point value and returns an integer or floating-point value. The decorator extends the function for higher order data structures such as Python lists or Matrix instances, applying it component-wise.

import math
from basic_deep_learning import*

@extend_to_matrices
def the_multi_dimentional_gamma_function(x):
    return math.gamma(x)

x, y, z, t = 1/2, 2, 3, 4

v = [x, y, z, t]

M = Matrix([[x, y], [z, t]])

print(f'Gamma(x) = {the_multi_dimentional_gamma_function(x)}')
print(f'Gamma(v) = {the_multi_dimentional_gamma_function(v)}')
print(f'Gamma(M) = {the_multi_dimentional_gamma_function(M)}')

Gamma(x) = 1.7724538509055159
Gamma(v) = [1.7724538509055159, 1.0, 2.0, 6.0]
Gamma(M) = matrix([
        [1.7724538509055159, 1.0],
        [2.0, 6.0]
])