parameters: (mean, cov, shape=[])
return_statement: return mt.multivariate_normal(mean, cov, shape)
docstring: multivariate_normal(mean, cov) or multivariate_normal(mean, cov, [m, n, ...])
      returns an array containing multivariate normally distributed random numbers
      with specified mean and covariance.
  
      mean must be a 1 dimensional array. cov must be a square two dimensional
      array with the same number of rows and columns as mean has elements.
  
      The first form returns a single 1-D array containing a multivariate
      normal.
  
      The second form returns an array of shape (m, n, ..., cov.shape[0]).
      In this case, output[i,j,...,:] is a 1-D array containing a multivariate
      normal.
docstring_summary: multivariate_normal(mean, cov) or multivariate_normal(mean, cov, [m, n, ...])
      returns an array containing multivariate normally distributed random numbers
      with specified mean and covariance.
docstring_tokens: multivariate_normal ( mean cov ) or multivariate_normal ( mean cov [ m n ... ] ) returns an array containing multivariate normally distributed random numbers with specified mean and covariance .
function: def multivariate_normal(mean, cov, shape=[]):
      """multivariate_normal(mean, cov) or multivariate_normal(mean, cov, [m, n, ...])
      returns an array containing multivariate normally distributed random numbers
      with specified mean and covariance.
  
      mean must be a 1 dimensional array. cov must be a square two dimensional
      array with the same number of rows and columns as mean has elements.
  
      The first form returns a single 1-D array containing a multivariate
      normal.
  
      The second form returns an array of shape (m, n, ..., cov.shape[0]).
      In this case, output[i,j,...,:] is a 1-D array containing a multivariate
      normal."""
      if shape == []:
          shape = None
      return mt.multivariate_normal(mean, cov, shape)
function_tokens: def multivariate_normal ( mean , cov , shape = [ ] ) : if shape == [ ] : shape = None return mt . multivariate_normal ( mean , cov , shape )