class_docstr: Mask to keep track of discrete regions crossed by streamlines.
  
  The resolution of this grid determines the approximate spacing between
  trajectories. Streamlines are only allowed to pass through zeroed cells:
  When a streamline enters a cell, that cell is set to 1, and no new
  streamlines are allowed to enter.
class_docstr_tok: ["Mask","to","keep","track","of","discrete","regions","crossed","by","streamlines",".","The","resolution","of","this","grid","determines","the","approximate","spacing","between","trajectories",".","Streamlines","are","only","allowed","to","pass","through","zeroed","cells",":","When","a","streamline","enters","a","cell",",","that","cell","is","set","to","1",",","and","no","new","streamlines","are","allowed","to","enter","."]
docstr: Remove current trajectory from mask
docstr_tok: ["Remove","current","trajectory","from","mask"]
code: def _undo_trajectory(self):
      """Remove current trajectory from mask"""
      for t in self._traj:
          self._mask[t] = 0
  
imports: import numpy
  import matplotlib
  from matplotlib import _api, cm, patches
  import matplotlib.colors
  import matplotlib.collections
  import matplotlib.lines
label_desc: Use image node_id 4 for calling the StreamMask obj's underlying member method code with example usage: obj._undo_trajectory() without return types