code: def test_text_filter_tokens():
      sr = cudf.Series(
          ["the quick brown fox jumped", "over the lazy dog", ""]
      )
  
      expected = cudf.Series([" quick brown  jumped", "   ", ""])
      actual = sr.str.filter_tokens(5)
      assert_eq(expected, actual)
  
      expected = cudf.Series(["🔥 quick brown 🔥 jumped", "🔥 🔥 🔥 🔥", ""])
      actual = sr.str.filter_tokens(5, "🔥")
      assert_eq(expected, actual)
  
      sr = cudf.Series(
          ["All-we-need;is;🔥", "\tall-we-need0is;🌊", "all;we:need+is;🌬"]
      )
      expected = cudf.Series(
          [
              "All-we-need;is;--",
              "\tall-we-need0is;--",
              "all;we:need+is;--",
          ]
      )
      actual = sr.str.filter_tokens(2, "--", ";")
      assert_eq(expected, actual)
  
      assert_eq(sr, sr.str.filter_tokens(1))
  
imports: import random
  import string
  import numpy
  import pytest
  import cudf
  from cudf.core.byte_pair_encoding import BytePairEncoder
  from cudf.core.tokenize_vocabulary import TokenizeVocabulary
  from cudf.testing._utils import assert_eq
label_desc: Use image node_id 16 for calling a global function with example usage: test_text_filter_tokens() without return types