def test_get_count_of_word_instances():
from utilities.utilities import Utilities
u = Utilities()
word_list = ['hello', 'hi', 'hello', 'there', 'hello']
result = u.get_count_of_word_instances(word_list)
expected = {'hello': 3, 'hi': 1, 'there': 1}
assert result == expected
logger.debug(f'HYP FOR WER: {hyp}')
logger.debug(f'REF FOR WER: {ref}')
wer_obj.AddHypRef(hyp, ref)
wer , ref_word_count, ref_error_count, ins, deletions, subs = wer_obj.GetWER()
string = f'STATS: wer = {wer}%, ref words = {ref_word_count}, number of errors = {ref_error_count}'
print(string)
logger.debug(string)
#Remove hyp/ref from WER
wer_obj.AddHypRef('', '')
# Get words producing errors
inserted_words, deleted_words, substituted_words = wer_obj.GetMissedWords()
delete_word_counts = utilities.get_count_of_word_instances(deleted_words)
inserted_word_counts = utilities.get_count_of_word_instances(inserted_words)
substituted_word_count = utilities.get_count_of_word_instances(substituted_words)
logger.debug(f'INSERTED WORDS: {inserted_words}')
logger.debug(f'DELETED WORDS {deleted_words}')
logger.debug(f'SUBSTITUTED WORDS: {substituted_words}')
word_count_list = (delete_word_counts, inserted_word_counts, substituted_word_count )
logger.debug(f'WORD COUNT LIST: {word_count_list}')
io_handler.write_csv_header(configuration, nlp_model)
io_handler.update_csv(wer, audio, configuration, nlp_model, word_count_list )
io_handler.write_html_diagnostic(wer_obj, unique_root, io_handler.get_result_path())
#NLP options
if nlp_model.get_apply_stemming() or nlp_model.get_remove_stop_words() or nlp_model.get_n2w() or nlp_model.get_expand_contractions():
