parameters: (a)
return_statement: return (a,)
docstring: min_scalar_type(a)
  
      For scalar ``a``, returns the data type with the smallest size
      and smallest scalar kind which can hold its value.  For non-scalar
      array ``a``, returns the vector's dtype unmodified.
  
      Floating point values are not demoted to integers,
      and complex values are not demoted to floats.
  
      Parameters
      ----------
      a : scalar or array_like
          The value whose minimal data type is to be found.
  
      Returns
      -------
      out : dtype
          The minimal data type.
  
      Notes
      -----
      .. versionadded:: 1.6.0
  
      See Also
      --------
      result_type, promote_types, dtype, can_cast
  
      Examples
      --------
      >>> np.min_scalar_type(10)
      dtype('uint8')
  
      >>> np.min_scalar_type(-260)
      dtype('int16')
  
      >>> np.min_scalar_type(3.1)
      dtype('float16')
  
      >>> np.min_scalar_type(1e50)
      dtype('float64')
  
      >>> np.min_scalar_type(np.arange(4,dtype='f8'))
      dtype('float64')
docstring_summary: min_scalar_type(a)
docstring_tokens: min_scalar_type ( a )
function: def min_scalar_type(a):
      """
      min_scalar_type(a)
  
      For scalar ``a``, returns the data type with the smallest size
      and smallest scalar kind which can hold its value.  For non-scalar
      array ``a``, returns the vector's dtype unmodified.
  
      Floating point values are not demoted to integers,
      and complex values are not demoted to floats.
  
      Parameters
      ----------
      a : scalar or array_like
          The value whose minimal data type is to be found.
  
      Returns
      -------
      out : dtype
          The minimal data type.
  
      Notes
      -----
      .. versionadded:: 1.6.0
  
      See Also
      --------
      result_type, promote_types, dtype, can_cast
  
      Examples
      --------
      >>> np.min_scalar_type(10)
      dtype('uint8')
  
      >>> np.min_scalar_type(-260)
      dtype('int16')
  
      >>> np.min_scalar_type(3.1)
      dtype('float16')
  
      >>> np.min_scalar_type(1e50)
      dtype('float64')
  
      >>> np.min_scalar_type(np.arange(4,dtype='f8'))
      dtype('float64')
  
      """
      return (a,)
function_tokens: def min_scalar_type ( a ) : return ( a , )