class_docstr: A SearchCallback to load measured states from the log file for a search policy.
  
  This can resume the state of the search policy:
      - Making sure an already measured state in former searches will never be measured again.
      - The history states can be used to speed up the search process(e.g. SketchPolicy uses
        history states as starting point to perform Evolutionary Search).
  
  Parameters
  ----------
  filename : str
      The name of the record file.
class_docstr_tok: ["A","SearchCallback","to","load","measured","states","from","the","log","file","for","a","search","policy",".","This","can","resume","the","state","of","the","search","policy",":","-","Making","sure","an","already","measured","state","in","former","searches","will","never","be","measured","again",".","-","The","history","states","can","be","used","to","speed","up","the","search","process","(","e.g",".","SketchPolicy","uses","history","states","as","starting","point","to","perform","Evolutionary","Search",")",".","Parameters","--","--","--","--","--","filename",":","str","The","name","of","the","record","file","."]
code: def __init__(self, filename):
      self.__init_handle_by_constructor__(
          _ffi_api.PreloadMeasuredStates, filename
      )
  
imports: import random
  import tvm._ffi
  from tvm.runtime import Object
  from .cost_model import RandomModel
  from .None import _ffi_api
label_desc: Use image node_id 1 to create a new PreloadMeasuredStates object from inherited base classes: SearchCallback with example: obj = PreloadMeasuredStates(filename)