text: from typing import cast
  
  import numpy as np
  
  __all__ = ["a"]
  
  
  def a(*args, dtype=float) -> np.ndarray:
      """Shorten typing in parametrized tests.
  
      Equivalent to np.ndarray([*args], dtype='dtype')`.
  
      Args:
          args:  sequence of numbers (any type) will be converted to the specified type.
          dtype: A type for the output array
  
      Returns:
          np.ndarray:  The ndarray with the given numbers and type.
  
      Examples:
  
      >>> a(1, 2, 3)
      array([1., 2., 3.])
      >>> a(1, 2, 3, dtype=np.int32)  # doctest: +SKIP (windows test fails)
      array([1, 2, 3], dtype=int32)
      >>> a(0, 1, 2, 3).reshape(2,2)
      array([[0., 1.],
             [2., 3.]])
      """
      return cast(np.ndarray, np.fromiter(args, dtype=dtype))
  
  
  if __name__ == "__main__":
      import doctest
  
      doctest.testmod(verbose=True)
  