code: def isposinf(x, out=None):
      """
      Test element-wise for positive infinity, return result as bool array.
  
      Parameters
      ----------
      x : array_like
          The input array.
      out : array_like, optional
          A location into which the result is stored. If provided, it must have a
          shape that the input broadcasts to. If not provided or None, a
          freshly-allocated boolean array is returned.
  
      Returns
      -------
      out : ndarray
          A boolean array with the same dimensions as the input.
          If second argument is not supplied then a boolean array is returned
          with values True where the corresponding element of the input is
          positive infinity and values False where the element of the input is
          not positive infinity.
  
          If a second argument is supplied the result is stored there. If the
          type of that array is a numeric type the result is represented as zeros
          and ones, if the type is boolean then as False and True.
          The return value `out` is then a reference to that array.
  
      See Also
      --------
      isinf, isneginf, isfinite, isnan
  
      Notes
      -----
      NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
      (IEEE 754).
  
      Errors result if the second argument is also supplied when x is a scalar
      input, if first and second arguments have different shapes, or if the
      first argument has complex values
  
      Examples
      --------
      >>> np.isposinf(np.inf)
      True
      >>> np.isposinf(-np.inf)
      False
      >>> np.isposinf([-np.inf, 0., np.inf])
      array([False, False,  True])
  
      >>> x = np.array([-np.inf, 0., np.inf])
      >>> y = np.array([2, 2, 2])
      >>> np.isposinf(x, y)
      array([0, 0, 1])
      >>> y
      array([0, 0, 1])
  
      """
      is_inf = nx.isinf(x)
      try:
          signbit = ~nx.signbit(x)
      except TypeError as e:
          dtype = nx.asanyarray(x).dtype
          raise TypeError(
              f"This operation is not supported for {dtype} values "
              "because it would be ambiguous."
          ) from e
      else:
          return nx.logical_and(is_inf, signbit, out)
  
file_path: numpy/numpy/lib/_ufunclike_impl.py
imports: import numpy._core.numeric
  from numpy._core.overrides import array_function_dispatch
  import warnings
  import functools
label_desc: Use image node_id 3 for calling a global function with example usage: isposinf(x, out) and returns: nx