code: def is_np_default_dtype():
      """Checks whether the NumPy default dtype semantics is currently turned on.
      In NumPy default dtype semantics, default dtype is float64.
  
      Please note that this is designed as an infrastructure for the incoming
      MXNet-NumPy operators. Legacy operators registered in the modules
      `mx.nd` and `mx.sym` are not guaranteed to behave like their counterparts
      in NumPy even within this scope.
  
      Returns
      -------
          A bool value indicating whether the NumPy default dtype semantics is currently on.
  
      See Also
      --------
      set_np_default_dtype : Set default dtype equals to offical numpy
      set_np : npx.set_np(dtype=True) has equal performance to npx.set_np_default_dtype(True)
  
      Example
      -------
      >>> import mxnet as mx
      >>> from mxnet import npx
      >>> prev_state = npx.set_np_default_dtype(True)
      >>> print(prev_state)
      False
      >>> print(npx.is_np_default_dtype())
      True
      """
      curr = ctypes.c_bool()
      check_call(_LIB.MXIsNumpyDefaultDtype(ctypes.byref(curr)))
      return curr.value
  
imports: import ctypes
  import functools
  import inspect
  import threading
  import tempfile
  import platform
  from contextlib import contextmanager
  from struct import calcsize
  from .base import _LIB, check_call, c_str, py_str, numeric_types, integer_types, long, _MAX_VALUE_64_BIT_UNSIGNED_, _MAX_VALUE_64_BIT_SIGNED_, _MAX_VALUE_FLOAT32_REPRESENT_
label_desc: Use image node_id 28 for calling a global function with example usage: is_np_default_dtype() and returns: curr