parameters: (x, out=None)
docstring: Test element-wise for positive infinity, return result as bool array.
  
      Parameters
      ----------
      x : array_like
          The input array.
      y : array_like, optional
          A boolean array with the same shape as `x` to store the result.
  
      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.PINF)
      True
      >>> np.isposinf(np.inf)
      True
      >>> np.isposinf(np.NINF)
      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])
docstring_summary: Test element-wise for positive infinity, return result as bool array.
docstring_tokens: Test element - wise for positive infinity return result as bool array .
function: def isposinf(x, out=None):
      """
      Test element-wise for positive infinity, return result as bool array.
  
      Parameters
      ----------
      x : array_like
          The input array.
      y : array_like, optional
          A boolean array with the same shape as `x` to store the result.
  
      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.PINF)
      True
      >>> np.isposinf(np.inf)
      True
      >>> np.isposinf(np.NINF)
      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:
          raise TypeError('This operation is not supported for complex values '
                          'because it would be ambiguous.')
      else:
          return nx.logical_and(is_inf, signbit, out)
function_tokens: def isposinf ( x , out = None ) : is_inf = nx . isinf ( x ) try : signbit = ~ nx . signbit ( x ) except TypeError : raise TypeError ( 'This operation is not supported for complex values ' 'because it would be ambiguous.' ) else : return nx . logical_and ( is_inf , signbit , out )