class_docstr: Replay Trace Search Strategy is a search strategy that always replays the trace by removing its
  decisions so that the decisions would be randomly re-generated.
  
  Parameters
  ----------
  max_fail_count : int
      Max number of failures during trace replaying.
class_docstr_tok: ["Replay","Trace","Search","Strategy","is","a","search","strategy","that","always","replays","the","trace","by","removing","its","decisions","so","that","the","decisions","would","be","randomly","re-generated",".","Parameters","--","--","--","--","--","max_fail_count",":","int","Max","number","of","failures","during","trace","replaying","."]
docstr: Constructor
docstr_tok: ["Constructor"]
code: def __init__(self, max_fail_count: int = 100):
      """Constructor"""
      self.__init_handle_by_constructor__(
          _ffi_api.SearchStrategyReplayTrace,  # type: ignore # pylint: disable=no-member
          max_fail_count,
      )
  
imports: from tvm._ffi import register_object
  from ..None import _ffi_api
  from .search_strategy import SearchStrategy
label_desc: Use image node_id 1 to create a new ReplayTrace object from inherited base classes: SearchStrategy with example: obj = ReplayTrace(max_fail_count)