code: def test_matrices_length(text_data):
      tfidf_matrix = create_tfidf_matrix(text_data["test_list_main"])
      doc_term_matrix = create_doc_term_matrix(
          text_data["test_list_main"]
      )
  
      assert isinstance(
          tfidf_matrix, pd.DataFrame
      ), "Output is not of the expected return type of Pandas data frame"
      assert len(tfidf_matrix) == len(
          text_data["test_list_main"]
      ), "Number of documents in output does not match number of documents in input"
      assert isinstance(
          doc_term_matrix, pd.DataFrame
      ), "Output is not of the expected return type of Pandas data frame"
      assert len(doc_term_matrix) == len(
          text_data["test_list_main"]
      ), "Number of documents in output does not match number of documents in input"
  
file_path: data-describe/tests/test_text_preprocessing.py
imports: import pytest
  import pandas
  from data_describe.text.text_preprocessing import tokenize, to_lower, remove_digits, remove_punct, remove_single_char_and_spaces, remove_stopwords, preprocess_texts, to_list, bag_of_words_to_docs, create_doc_term_matrix, create_tfidf_matrix, ngram_freq
label_desc: Use image node_id 10 for calling a global function with example usage: test_matrices_length(text_data) without return types