Removed duplicated definition of class Bernoulli in distributions module

Author: disouzam

content/distributions.py

@@ -142,50 +142,6 @@ def sample(self, size=None):
         """
         return self.rand.exponential(self.mean, size=size)
 
-
-class Bernoulli:
-    """
-    Convenience class for the Bernoulli distribution.
-    packages up distribution parameters, seed and random generator.
-
-    The Bernoulli distribution is a special case of the binomial distribution
-    where a single trial is conducted
-
-    Use the Bernoulli distribution to sample success or failure.
-    """
-
-    def __init__(self, p, random_seed=None):
-        """
-        Constructor
-
-        Params:
-        ------
-        p: float
-            probability of drawing a 1
-
-        random_seed: int | SeedSequence, optional (default=None)
-            A random seed to reproduce samples.  If set to none then a unique
-            sample is created.
-        """
-        self.rand = np.random.default_rng(seed=random_seed)
-        self.p = p
-
-    def sample(self, size=None):
-        """
-        Generate a sample from the exponential distribution
-
-        Params:
-        -------
-        size: int, optional (default=None)
-            the number of samples to return.  If size=None then a single
-            sample is returned.
-
-        Returns:
-        -------
-        float or np.ndarray (if size >=1)
-        """
-        return self.rand.binomial(n=1, p=self.p, size=size)
-
 class DiscreteEmpirical:
     """
     DiscreteEmpirical distribution implementation.