old_contents: from .binomial import binomial
  
  def bernoulli(p, decimals = 2):
      """
      The `Bernoulli Distribution`_ is, quoting from the Wikipedia page:
  
          The Bernoulli distribution is the probability discrete distribution of a random
          variable which takes value 1 with success probability p and value 0 with failure
          probability q = 1 - p. It can be used, for example, to represent the toss of a coin,
          where "1" is defined to mean "heads" and "0" is defined to mean "tails" (or vice versa).
          It is a special case of a Binomial Distribution where n = 1.
  
      .. _ `bernoulli distribution`: https://en.wikipedia.org/wiki/Bernoulli_distribution
  
      Args:
          p: Int or float representing *p* (probability)
          decimals: (optional) number of decimal points (default is 2)
  
      Returns:
          List of the distribution values for the variable taking values 0, 1.
  
      Examples:
          >>> bernoulli(0.5)
          [0.5, 0.5]
          >>> bernoulli(0.25)
          [0.75, 0.25]
          >>> bernoulli(0.3)
          [0.7, 0.3]
          >>> bernoulli(1.1)
          Traceback (most recent call last):
              ...
          ValueError: Probability (p) must be between 0 and 1.
      """
  
      if p < 0 or p > 1:
          raise ValueError('Probability (p) must be between 0 and 1.')
  
      probabilities = binomial([0, 1], 1, p)
      probabilities = [round(x, decimals) for x in probabilities]
  
      return(probabilities)
  
  
new_contents: from .binomial import binomial
  
  def bernoulli(p, decimals = 2):
      """
      The `Bernoulli distribution`_ is, quoting from the Wikipedia page:
  
          The Bernoulli distribution is the probability discrete distribution of a random
          variable which takes value 1 with success probability p and value 0 with failure
          probability q = 1 - p. It can be used, for example, to represent the toss of a coin,
          where "1" is defined to mean "heads" and "0" is defined to mean "tails" (or vice versa).
          It is a special case of a Binomial Distribution where n = 1.
  
      .. _`Bernoulli distribution`: https://en.wikipedia.org/wiki/Bernoulli_distribution
  
      Args:
          p: Int or float representing *p* (probability)
          decimals: (optional) number of decimal points (default is 2)
  
      Returns:
          List of the distribution values for the variable taking values 0, 1.
  
      Examples:
          >>> bernoulli(0.5)
          [0.5, 0.5]
          >>> bernoulli(0.25)
          [0.75, 0.25]
          >>> bernoulli(0.3)
          [0.7, 0.3]
          >>> bernoulli(1.1)
          Traceback (most recent call last):
              ...
          ValueError: Probability (p) must be between 0 and 1.
      """
  
      if p < 0 or p > 1:
          raise ValueError('Probability (p) must be between 0 and 1.')
  
      probabilities = binomial([0, 1], 1, p)
      probabilities = [round(x, decimals) for x in probabilities]
  
      return(probabilities)
  
  
subject: Fix link to Bernoulli distribution Wikipedia page.