class_docstr: :class:`SeqSampler` is used to sample negative item sequence.
  
  Args:
      datasets (Dataset or list of Dataset): All the dataset for each phase.
      distribution (str, optional): Distribution of the negative items. Defaults to 'uniform'.
class_docstr_tok: [":","class",":","`","SeqSampler","`","is","used","to","sample","negative","item","sequence",".","Args",":","datasets","(","Dataset","or","list","of","Dataset",")",":","All","the","dataset","for","each","phase",".","distribution","(","str",",","optional",")",":","Distribution","of","the","negative","items",".","Defaults","to","'uniform","'","."]
code: def get_used_ids(self):
      pass
  
imports: import copy
  import numpy
  from numpy.random import sample
  import torch
  from collections import Counter
label_desc: Use image node_id 3 for calling the SeqSampler obj's underlying member method code with example usage: obj.get_used_ids() without return types