parameters: (m, n, density=0.01, format="coo", dtype=None, random_state=None)
return_statement: return random(m, n, density, format, dtype, random_state)
docstring: Generate a sparse matrix of the given shape and density with uniformly
      distributed values.
  
      Parameters
      ----------
      m, n : int
          shape of the matrix
      density : real, optional
          density of the generated matrix: density equal to one means a full
          matrix, density of 0 means a matrix with no non-zero items.
      format : str, optional
          sparse matrix format.
      dtype : dtype, optional
          type of the returned matrix values.
      random_state : {numpy.random.RandomState, int}, optional
          Random number generator or random seed. If not given, the singleton
          numpy.random will be used.
  
      Notes
      -----
      Only float types are supported for now.
docstring_summary: Generate a sparse matrix of the given shape and density with uniformly
      distributed values.
docstring_tokens: Generate a sparse matrix of the given shape and density with uniformly distributed values .
function: def rand(m, n, density=0.01, format="coo", dtype=None, random_state=None):
      """Generate a sparse matrix of the given shape and density with uniformly
      distributed values.
  
      Parameters
      ----------
      m, n : int
          shape of the matrix
      density : real, optional
          density of the generated matrix: density equal to one means a full
          matrix, density of 0 means a matrix with no non-zero items.
      format : str, optional
          sparse matrix format.
      dtype : dtype, optional
          type of the returned matrix values.
      random_state : {numpy.random.RandomState, int}, optional
          Random number generator or random seed. If not given, the singleton
          numpy.random will be used.
  
      Notes
      -----
      Only float types are supported for now.
  
      """
      return random(m, n, density, format, dtype, random_state)
function_tokens: def rand ( m , n , density = 0.01 , format = "coo" , dtype = None , random_state = None ) : return random ( m , n , density , format , dtype , random_state )