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# numpy.geterrcall

numpy.geterrcall()

  Return the current callback function used on floating-point errors.

  When the error handling for a floating-point error (one of “divide”, “over”, “under”, or “invalid”) is set to ‘call’ or ‘log’, the function that is called or the log instance that is written to is returned by `geterrcall`. This function or log instance has been set with `seterrcall`.

  Returns:
    errobj callable, log instance or None

      The current error handler. If no handler was set through `seterrcall`, `None` is returned.

  See also

  `seterrcall`, `seterr`, `geterr`

  Notes

  For complete documentation of the types of floating-point exceptions and treatment options, see `seterr`.

  Concurrency note: see Floating point error handling

  Examples

      >>> import numpy as np
      >>> np.geterrcall()  # we did not yet set a handler, returns None

      >>> orig_settings = np.seterr(all='call')
      >>> def err_handler(type, flag):
      ...     print("Floating point error (%s), with flag %s" % (type, flag))
      >>> old_handler = np.seterrcall(err_handler)
      >>> np.array([1, 2, 3]) / 0.0
      Floating point error (divide by zero), with flag 1
      array([inf, inf, inf])

      >>> cur_handler = np.geterrcall()
      >>> cur_handler is err_handler
      True
      >>> old_settings = np.seterr(**orig_settings)  # restore original
      >>> old_handler = np.seterrcall(None)  # restore original