docstr: The maximum number of seconds after the start of an anomaly, that we
  consider detections to be accurate (and not ignored for being too late).
  ``None`` signifies that any detection in the window is acceptable, or
  that the user may override this value with something better suited for
  their purposes.
docstr_tok: ["The","maximum","number","of","seconds","after","the","start","of","an","anomaly",",","that","we","consider","detections","to","be","accurate","(","and","not","ignored","for","being","too","late",")",".","``","None","``","signifies","that","any","detection","in","the","window","is","acceptable",",","or","that","the","user","may","override","this","value","with","something","better","suited","for","their","purposes","."]
code: def max_lag_sec(self):
      """
      The maximum number of seconds after the start of an anomaly, that we
      consider detections to be accurate (and not ignored for being too late).
      ``None`` signifies that any detection in the window is acceptable, or
      that the user may override this value with something better suited for
      their purposes.
      """
      return None
  
file_path: merlion/ts_datasets/ts_datasets/anomaly/base.py
imports: import numpy
  import pandas
  from ts_datasets.base import BaseDataset, _main_fns_docstr
label_desc: Use image node_id 2 for calling the TSADBaseDataset obj's underlying member method code with example usage: obj.max_lag_sec() and returns: None