code: def machine_eps(dtype):
      """Returns the machine epsilon for the supplied dtype."""
      dtype = dtype_util.as_numpy_dtype(tf.as_dtype(dtype))
      return np.finfo(dtype).eps
  
file_path: tf-quant-finance/tf_quant_finance/experimental/american_option_pricing/common.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tf_quant_finance import types
label_desc: Use image node_id 5 for calling a global function with example usage: machine_eps(dtype) and returns: np