class_docstr: State of one execution of the Hungarian algorithm.
  
  Parameters
  ----------
  cost_matrix : 2D matrix
      The cost matrix. Does not have to be square.
class_docstr_tok: ["State","of","one","execution","of","the","Hungarian","algorithm",".","Parameters","--","--","--","--","--","cost_matrix",":","2D","matrix","The","cost","matrix",".","Does","not","have","to","be","square","."]
docstr: Clear all covered matrix cells
docstr_tok: ["Clear","all","covered","matrix","cells"]
code: def _clear_covers(self):
      """Clear all covered matrix cells"""
      self.row_uncovered[:] = True
      self.col_uncovered[:] = True
  
file_path: catboost/contrib/python/scikit-learn/py2/sklearn/utils/linear_assignment_.py
imports: import numpy
  from .fixes import astype
label_desc: Use image node_id 3 for calling the _HungarianState obj's underlying member method code with example usage: obj._clear_covers() without return types