code: def vdot(a, b):
      """
      vdot(a, b, /)
  
      Return the dot product of two vectors.
  
      The vdot(`a`, `b`) function handles complex numbers differently than
      dot(`a`, `b`).  If the first argument is complex the complex conjugate
      of the first argument is used for the calculation of the dot product.
  
      Note that `vdot` handles multidimensional arrays differently than `dot`:
      it does *not* perform a matrix product, but flattens input arguments
      to 1-D vectors first. Consequently, it should only be used for vectors.
  
      Parameters
      ----------
      a : array_like
          If `a` is complex the complex conjugate is taken before calculation
          of the dot product.
      b : array_like
          Second argument to the dot product.
  
      Returns
      -------
      output : ndarray
          Dot product of `a` and `b`.  Can be an int, float, or
          complex depending on the types of `a` and `b`.
  
      See Also
      --------
      dot : Return the dot product without using the complex conjugate of the
            first argument.
  
      Examples
      --------
      >>> a = np.array([1+2j,3+4j])
      >>> b = np.array([5+6j,7+8j])
      >>> np.vdot(a, b)
      (70-8j)
      >>> np.vdot(b, a)
      (70+8j)
  
      Note that higher-dimensional arrays are flattened!
  
      >>> a = np.array([[1, 4], [5, 6]])
      >>> b = np.array([[4, 1], [2, 2]])
      >>> np.vdot(a, b)
      30
      >>> np.vdot(b, a)
      30
      >>> 1*4 + 4*1 + 5*2 + 6*2
      30
  
      """
      return (a, b)
  
imports: import functools
  from .None import overrides
  from .None import _multiarray_umath
  from ._multiarray_umath import *
  from ._multiarray_umath import _flagdict, from_dlpack, _place, _reconstruct, _vec_string, _ARRAY_API, _monotonicity, _get_ndarray_c_version, _get_madvise_hugepage, _set_madvise_hugepage, _get_promotion_state, _set_promotion_state
label_desc: Use image node_id 10 for calling a global function with example usage: vdot(a, b) and returns: a,  b