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from .adversarial_distribution import *
class GaussianDistribution(AdversarialDistribution):
"""# Gaussian Distribution"""
def __init__(self, N):
"""# Gaussian Distribution Initialization
Initializes the name and dimensions"""
super().__init__(N)
self.full_name = f"{N}-Dimensional Gaussian Distribution"
self.name = "G"
def __call__(self, *args):
"""# Magic method when calling the distribution
This method is going to be called when you use gauss(N1,...,Nm)"""
import numpy as np
return np.random.multivariate_normal(
mean=np.zeros(self.dims), cov=np.eye(self.dims), size=[*args]
)
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