class_docstr: An operator stream that returns the lagged value of a given stream.
  
  Parameters
  ----------
  lag : int
      The number of steps to lag behind by
  dtype : str, optional
      The data type of the stream
class_docstr_tok: ["An","operator","stream","that","returns","the","lagged","value","of","a","given","stream",".","Parameters","--","--","--","--","--","lag",":","int","The","number","of","steps","to","lag","behind","by","dtype",":","str",",","optional","The","data","type","of","the","stream"]
code: def has_next(self) -> bool:
      return True
  
imports: from typing import Callable, TypeVar
  import numpy
  from tensortrade.feed.core.base import Stream, T
label_desc: Use image node_id 3 for calling the Lag obj's underlying member method code with example usage: obj.has_next() and returns: True