


from typing import List

import jiwer
import jiwer.transforms as tr
from packaging import version

import datasets
from datasets.config import PY_VERSION


if PY_VERSION < version.parse("3.8"):
    import importlib_metadata
else:
    import importlib.metadata as importlib_metadata


A         = ""


if version.parse(importlib_metadata.version("jiwer")) < version.parse("2.3.0"):


    class     lowercase__  (					tr.AbstractTransform		):






      def __init__(					self      :					Tuple		,						_lowercase      :					str = " " ):




             """simple docstring"""







             UpperCAmelCase__										=     sentence_delimiter






      def 			_UpperCAmelCase  (					self      :					List[Any]		,						_lowercase      :					str ):




             """simple docstring"""







             return list(_lowercase )






      def 			_UpperCAmelCase  (					self      :					int		,						_lowercase      :					List[str] ):




             """simple docstring"""







             UpperCAmelCase__										=     []
             for sent_idx, sentence in enumerate(_lowercase ):
                    chars.extend(self.process_string(_lowercase ) )
                    if self.sentence_delimiter is not None and self.sentence_delimiter != "" and sent_idx < len(_lowercase ) - 1:
                           chars.append(self.sentence_delimiter )
             return chars




    A         = tr.Compose(
        [tr.RemoveMultipleSpaces(), tr.Strip(), SentencesToListOfCharacters(SENTENCE_DELIMITER)]
    )
else:
    A         = tr.Compose(
        [
            tr.RemoveMultipleSpaces(),
            tr.Strip(),
            tr.ReduceToSingleSentence(SENTENCE_DELIMITER),
            tr.ReduceToListOfListOfChars(),
        ]
    )


A         = "\\n@inproceedings{inproceedings,\n    author = {Morris, Andrew and Maier, Viktoria and Green, Phil},\n    year = {2004},\n    month = {01},\n    pages = {},\n    title = {From WER and RIL to MER and WIL: improved evaluation measures for connected speech recognition.}\n}\n"

A         = "\\nCharacter error rate (CER) is a common metric of the performance of an automatic speech recognition system.\n\nCER is similar to Word Error Rate (WER), but operates on character instead of word. Please refer to docs of WER for further information.\n\nCharacter error rate can be computed as:\n\nCER = (S + D + I) / N = (S + D + I) / (S + D + C)\n\nwhere\n\nS is the number of substitutions,\nD is the number of deletions,\nI is the number of insertions,\nC is the number of correct characters,\nN is the number of characters in the reference (N=S+D+C).\n\nCER's output is not always a number between 0 and 1, in particular when there is a high number of insertions. This value is often associated to the percentage of characters that were incorrectly predicted. The lower the value, the better the\nperformance of the ASR system with a CER of 0 being a perfect score.\n"

A         = "\nComputes CER score of transcribed segments against references.\nArgs:\n    references: list of references for each speech input.\n    predictions: list of transcribtions to score.\n    concatenate_texts: Whether or not to concatenate sentences before evaluation, set to True for more accurate result.\nReturns:\n    (float): the character error rate\n\nExamples:\n\n    >>> predictions = [\"this is the prediction\", \"there is an other sample\"]\n    >>> references = [\"this is the reference\", \"there is another one\"]\n    >>> cer = datasets.load_metric(\"cer\")\n    >>> cer_score = cer.compute(predictions=predictions, references=references)\n    >>> print(cer_score)\n    0.34146341463414637\n"


@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION					,							_KWARGS_DESCRIPTION		)
class     lowercase__  (					datasets.Metric		):






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         return datasets.MetricInfo(
             description=_DESCRIPTION		,						citation=_CITATION		,						inputs_description=_KWARGS_DESCRIPTION		,						features=datasets.Features(
                 {
                     "predictions": datasets.Value("string"		,						id="sequence" ),
                     "references": datasets.Value("string"		,						id="sequence" ),
                 } )		,						codebase_urls=["https://github.com/jitsi/jiwer/"]		,						reference_urls=[
                 "https://en.wikipedia.org/wiki/Word_error_rate",
                 "https://sites.google.com/site/textdigitisation/qualitymeasures/computingerrorrates",
             ]		,						)






  def 			_UpperCAmelCase  (					self      :					int		,						_lowercase      :					List[Any]		,						_lowercase      :					Any		,						_lowercase      :					List[str]=False ):




         """simple docstring"""







         if concatenate_texts:
                return jiwer.compute_measures(
                    _lowercase		,						_lowercase		,						truth_transform=_lowercase		,						hypothesis_transform=_lowercase		,						)["wer"]

         UpperCAmelCase__										=     0
         UpperCAmelCase__										=     0
         for prediction, reference in zip(_lowercase		,						_lowercase ):
                UpperCAmelCase__										=     jiwer.compute_measures(
                    _lowercase		,						_lowercase		,						truth_transform=_lowercase		,						hypothesis_transform=_lowercase		,						)
                incorrect += measures["substitutions"] + measures["deletions"] + measures["insertions"]
                total += measures["substitutions"] + measures["deletions"] + measures["hits"]

         return incorrect / total









import json
import os
import unittest
from typing import Tuple

from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizerOutput
from transformers.testing_utils import require_phonemizer

from ...test_tokenization_common import TokenizerTesterMixin


@require_phonemizer
class     lowercase__  (					__SCREAMING_SNAKE_CASE					,							unittest.TestCase		):
  A__=  WavaVecaPhonemeCTCTokenizer
  A__=  False






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         super().setUp()

         UpperCAmelCase__										=     (
             "<s> <pad> </s> <unk> n s t ə l a i k d m ɛ ɾ e ɪ p o ɐ z ð f j v b ɹ ʁ ʊ iː r w ʌ u ɡ æ aɪ ʃ h ɔ ɑː "
             "ŋ ɚ eɪ β uː y ɑ̃ oʊ ᵻ eː θ aʊ ts oː ɔ̃ ɣ ɜ ɑ dʒ əl x ɜː ç ʒ tʃ ɔː ɑːɹ ɛ̃ ʎ ɔːɹ ʋ aː ɕ œ ø oːɹ ɲ yː "
             "ʔ iə i5 s. tɕ ?? nʲ ɛː œ̃ ɭ ɔø ʑ tʲ ɨ ɛɹ ts. rʲ ɪɹ ɭʲ i.5 ɔɪ q sʲ u5 ʊɹ iɜ a5 iɛ5 øː ʕ ja əɜ th ɑ5 "
             "oɪ dʲ ə5 tɕh ts.h mʲ ɯ dʑ vʲ e̞ tʃʲ ei5 o5 onɡ5 ɑu5 iɑ5 ai5 aɪɚ kh ə1 ʐ i2 ʉ ħ t[ aɪə ʲ ju ə2 u2 oɜ "
             "pː iɛɜ ou5 y5 uɜ tː uo5 d[ uoɜ tsh ɑɜ ɵ i̪5 uei5 ɟ aɜ ɑɨ i.ɜ eʊ o2 ɐ̃ ä pʲ kʲ n̩ ɒ ph ɑu2 uɨ əɪ ɫ ɬ "
             "yɜ bʲ ɑ2 s̪ aiɜ χ ɐ̃ʊ̃ 1 ə4 yæɜ a2 ɨː t̪ iouɜ ũ onɡɜ aɨ iɛ2 ɔɨ ɑuɜ o̞ ei2 iou2 c kː y2 ɖ oe dˤ yɛɜ "
             "əʊ S ɡʲ onɡ2 u\" eiɜ ʈ ɯᵝ iou5 dZ r̝̊ i.2 tS s^ ʝ yə5 iɑɜ uə5 pf ɨu iɑ2 ou2 ər2 fʲ ai2 r̝ uəɜ ɳ əɨ "
             "ua5 uɪ ɽ bː yu5 uo2 yɛ5 l̩ ɻ ərɜ ʂ i̪2 ouɜ uaɜ a. a.ː yæ5 dː r̩ ee ɪu ər5 i̪ ɜ æi u: i.ː t^ o1 ɪ^ "
             "ai ueiɜ æː ɛɪ eə i. ɴ ie ua2 ɑ1 o4 tʃː o: ɑ: u1 N i̪1 au yæ2 u. qː yəɜ y: kʰ tʃʰ iʊ sx õ uo tʰ "
             "uai5 bʰ u.ː uə2 ʊə d^ s̪ː yiɜ dʰ r. oe: i1 ɟː yu2 nʲʲ i̪4 uei2 tsʲ ɸ ĩ ɑ4 t̪ː eɑ u4 e: tsː ʈʰ ɡʰ "
             "ɯɯ dʒʲ ʂʲ X ɵː uaiɜ tɕʲ ã t^ː ẽː yɛ2 cː i.1 ɛʊ dˤdˤ dʒː i4 ɡː yi ɕʲ ɟʰ pʰ dʑʲ yuɜ ua1 ua4 æiː ɐɐ "
             "ui iou1 ʊː a1 iou4 cʰ iɛ1 yə2 ɖʰ ẽ ʒʲ ää ər4 iːː ɪː iɑ1 ər1 œː øi ɪuː cʰcʰ əː1 iː1 ũ kʰː o̞o̞ xʲ "
             "ou1 iɛ4 e̞e̞ y1 dzː dʲʲ dʰː ɯᵝɯᵝ lː uo1 i.4 i: yɛ5ʲ a4"
         ).split(" " )
         UpperCAmelCase__										=     dict(zip(_lowercase		,						range(len(_lowercase ) ) ) )

         UpperCAmelCase__										=     {"pad_token": "<pad>", "unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>"}

         UpperCAmelCase__										=     os.path.join(self.tmpdirname		,						VOCAB_FILES_NAMES["vocab_file"] )
         with open(self.vocab_file		,						"w"		,						encoding="utf-8" ) as fp:
                fp.write(json.dumps(_lowercase ) + "\n" )






  def 			_UpperCAmelCase  (					self      :					str		,						_lowercase      :					Union[str, Any]		,						_lowercase      :					str=False		,						_lowercase      :					Tuple=20		,						_lowercase      :					int=5 ):




         """simple docstring"""







         UpperCAmelCase__										=     [(i, tokenizer.decode([i]		,						clean_up_tokenization_spaces=_lowercase )) for i in range(len(_lowercase ) )]
         UpperCAmelCase__										=     list(filter(lambda _lowercase : [t[0]] == tokenizer.encode(t[1]		,						do_phonemize=_lowercase )		,						_lowercase ) )
         if max_length is not None and len(_lowercase ) > max_length:
                UpperCAmelCase__										=     toks[:max_length]
         if min_length is not None and len(_lowercase ) < min_length and len(_lowercase ) > 0:
                while len(_lowercase ) < min_length:
                       UpperCAmelCase__										=     toks + toks
        # toks_str = [t[1] for t in toks]
         UpperCAmelCase__										=     [t[0] for t in toks]

         # Ensure consistency
         UpperCAmelCase__										=     tokenizer.decode(_lowercase		,						clean_up_tokenization_spaces=_lowercase )
         if " " not in output_txt and len(_lowercase ) > 1:
                UpperCAmelCase__										=     (
                    tokenizer.decode([toks_ids[0]]		,						clean_up_tokenization_spaces=_lowercase )
                    + " "
                    + tokenizer.decode(toks_ids[1:]		,						clean_up_tokenization_spaces=_lowercase )
                )
         if with_prefix_space:
                UpperCAmelCase__										=     " " + output_txt
         UpperCAmelCase__										=     tokenizer.encode(_lowercase		,						add_special_tokens=_lowercase )
         return output_txt, output_ids






  def 			_UpperCAmelCase  (					self      :					Optional[Any]		,						**_lowercase      :					Optional[int] ):




         """simple docstring"""







         kwargs.update(self.special_tokens_map )
         return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname		,						**_lowercase )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )

         # check adding a single token
         tokenizer.add_tokens("xxx" )
         UpperCAmelCase__										=     tokenizer("m xxx ɪ"		,						do_phonemize=_lowercase ).input_ids
         self.assertEqual(_lowercase		,						[13, 3_92, 17] )  # xxx should be last token

         tokenizer.add_tokens(["aaa", "bbb", "ccc"] )
         UpperCAmelCase__										=     tokenizer("m aaa ɪ ccc"		,						do_phonemize=_lowercase ).input_ids
         self.assertEqual(_lowercase		,						[13, 3_93, 17, 3_95] )  # aaa and ccc should be after xxx and 2 after aaa

         UpperCAmelCase__										=     tokenizer("maɪ c"		,						do_phonemize=_lowercase ).input_ids
         self.assertEqual(_lowercase		,						[3, 2_00] )  # mai should be <unk> (=3)






  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )

         UpperCAmelCase__										=     "Hello how are you"
         UpperCAmelCase__										=     tokenizer.phonemize(_lowercase		,						phonemizer_lang="en-us" )
         self.assertEqual(_lowercase		,						"h ə l oʊ h aʊ ɑːɹ j uː" )






  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )

         UpperCAmelCase__										=     "Hello how are you"
         UpperCAmelCase__										=     tokenizer.phonemize(_lowercase		,						phonemizer_lang="en-us" )
         self.assertEqual(tokenizer(_lowercase ).input_ids		,						tokenizer(_lowercase		,						do_phonemize=_lowercase ).input_ids )






  def 			_UpperCAmelCase  (					self      :					int ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )
         UpperCAmelCase__										=     "Hello how are you"
         UpperCAmelCase__										=     tokenizer.phonemize(_lowercase		,						phonemizer_lang="en-us" )

         UpperCAmelCase__										=     tokenizer.decode(tokenizer(_lowercase ).input_ids )

         self.assertEqual(_lowercase		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[str] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )

         UpperCAmelCase__										=     [
             [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
             [24, 22, 5, 24, 22, 5, 77],
         ]
         UpperCAmelCase__										=     tokenizer.decode(sample_ids[0] )
         UpperCAmelCase__										=     tokenizer.batch_decode(_lowercase )
         self.assertEqual(_lowercase		,						batch_tokens[0] )
         self.assertEqual(_lowercase		,						["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"] )






  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained(
             "facebook/wav2vec2-lv-60-espeak-cv-ft"		,						word_delimiter_token="|" )
         tokenizer.add_tokens("|" )

         UpperCAmelCase__										=     "Hello how are you"
         UpperCAmelCase__										=     tokenizer.phonemize(_lowercase		,						phonemizer_lang="en-us" )
         self.assertEqual(_lowercase		,						"h ə l oʊ | h aʊ | ɑːɹ | j uː |" )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained(
             "facebook/wav2vec2-lv-60-espeak-cv-ft"		,						word_delimiter_token="|" )
         tokenizer.add_tokens("|" )

         UpperCAmelCase__										=     "Hello how are you"
         UpperCAmelCase__										=     tokenizer.phonemize(_lowercase		,						phonemizer_lang="en-us" )
         self.assertEqual(tokenizer(_lowercase ).input_ids		,						tokenizer(_lowercase		,						do_phonemize=_lowercase ).input_ids )






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained(
             "facebook/wav2vec2-lv-60-espeak-cv-ft"		,						word_delimiter_token="|" )
         tokenizer.add_tokens("|" )

         # fmt: off
         UpperCAmelCase__										=     [
             [11, 5, 15, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 15, 8, tokenizer.word_delimiter_token_id, 98],
             [tokenizer.word_delimiter_token_id, 24, 22, tokenizer.word_delimiter_token_id, 5, 24, 22, 5, 77],
         ]
         # fmt: on

         # decode with word_del_token filter
         UpperCAmelCase__										=     tokenizer.decode(sample_ids[0] )
         UpperCAmelCase__										=     tokenizer.batch_decode(_lowercase )
         self.assertEqual(_lowercase		,						batch_tokens[0] )
         self.assertEqual(_lowercase		,						["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"] )

         # decode with no word_del_token filter
         UpperCAmelCase__										=     tokenizer.decode(sample_ids[0]		,						filter_word_delimiter_token=_lowercase )
         UpperCAmelCase__										=     tokenizer.batch_decode(_lowercase		,						filter_word_delimiter_token=_lowercase )
         self.assertEqual(_lowercase		,						batch_tokens[0] )
         self.assertEqual(_lowercase		,						["k s ɾ | ɾ l | ɭʲ", "| j ð | s j ð s oːɹ"] )






  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained(
             "facebook/wav2vec2-lv-60-espeak-cv-ft"		,						word_delimiter_token="|" )
         tokenizer.add_tokens("|" )

         UpperCAmelCase__										=     "Hello how are you"
         UpperCAmelCase__										=     tokenizer.phonemize(_lowercase		,						phonemizer_lang="en-us" )

         UpperCAmelCase__										=     tokenizer.decode(tokenizer(_lowercase ).input_ids		,						filter_word_delimiter_token=_lowercase )

         self.assertEqual(_lowercase		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[str] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained(
             "facebook/wav2vec2-lv-60-espeak-cv-ft"		,						word_delimiter_token="|" )
         tokenizer.add_tokens("|" )

         UpperCAmelCase__										=     "Hello how are you"
         UpperCAmelCase__										=     tokenizer.phonemize(_lowercase		,						phonemizer_lang="en-us" )

         UpperCAmelCase__										=     tokenizer.decode(tokenizer(_lowercase ).input_ids		,						filter_word_delimiter_token=_lowercase )

         self.assertEqual(" ".join([p.strip() for p in phonemes.split(" |" )] ).strip()		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained(
             "facebook/wav2vec2-lv-60-espeak-cv-ft"		,						word_delimiter_token=_lowercase )
         UpperCAmelCase__										=     "Hello how are you"

         UpperCAmelCase__										=     tokenizer(_lowercase		,						phonemizer_lang="en-us" ).input_ids
         UpperCAmelCase__										=     tokenizer(_lowercase		,						phonemizer_lang="fr-fr" ).input_ids

         self.assertNotEqual(_lowercase		,						_lowercase )

         UpperCAmelCase__										=     tokenizer.decode(_lowercase )
         UpperCAmelCase__										=     tokenizer.decode(_lowercase )

         self.assertEqual(_lowercase		,						"h ə l oʊ h aʊ ɑːɹ j uː" )
         self.assertEqual(_lowercase		,						"ɛ l o h aʊ a ʁ j u" )






  def 			_UpperCAmelCase  (					self      :					int ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )
         UpperCAmelCase__										=     "Hello how Are you"
         UpperCAmelCase__										=     "hello how are you"

         UpperCAmelCase__										=     tokenizer(_lowercase ).input_ids
         UpperCAmelCase__										=     tokenizer(_lowercase ).input_ids

         self.assertEqual(_lowercase		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )
         tokenizer.add_tokens(["!", "?"] )
         tokenizer.add_special_tokens({"cls_token": "$$$"} )

         # fmt: off
         UpperCAmelCase__										=     [
             [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 3_92, 3_92, 3_93, 3_92, 3_92, 3_93, 3_94, 3_94],
             [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 3_94, 3_94],
         ]
         # fmt: on

         UpperCAmelCase__										=     tokenizer.batch_decode(_lowercase )
         self.assertEqual(_lowercase		,						["k s ɾ ɾ l ɭʲ!?!? $$$", "j ð s j ð s oːɹ $$$"] )






  @staticmethod
  def 			_UpperCAmelCase  (					_lowercase      :					int		,						_lowercase      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     [d[key] for d in offsets]
         return retrieved_list






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizer(word_delimiter_token="|" )
         tokenizer.add_tokens("|" )

         # fmt: off
         # ksssɾɾ|ɾɾ<pad>ɾɾ|<pad>ɾlll|ɭʲ -> k s ɾ ɾ | ɾ l | ɭʲ"
         UpperCAmelCase__										=     [11, 5, 5, 5, 15, 15, tokenizer.pad_token_id, 15, 15, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 15, 8, 8, 8, tokenizer.word_delimiter_token_id, 98]
         # fmt: on

         UpperCAmelCase__										=     tokenizer.decode(_lowercase		,						output_char_offsets=_lowercase		,						filter_word_delimiter_token=_lowercase )
         # check Wav2Vec2CTCTokenizerOutput keys for char
         self.assertEqual(len(outputs.keys() )		,						2 )
         self.assertTrue("text" in outputs )
         self.assertTrue("char_offsets" in outputs )
         self.assertTrue(isinstance(_lowercase		,						_lowercase ) )

         # check that order of chars is correct and identical for both outputs
         self.assertEqual(" ".join(self.get_from_offsets(outputs["char_offsets"]		,						"char" ) )		,						outputs.text )
         self.assertListEqual(
             self.get_from_offsets(outputs["char_offsets"]		,						"char" )		,						["k", "s", "ɾ", "ɾ", "|", "ɾ", "l", "|", "ɭʲ"] )

         # check that offsets are actually correct for char
         # 0-1 is 11, 1-4 is 5, 4-6 is first 15, 6-7 is <pad> (thus not shown), 7-9 is second 15, 9-10 is word_delimiter_token,
         # 10-11 is <pad> (thus not shown), 11-12 is third 15, 12-15 is 8, 15-16 is word_delimiter_token, 16-17 is 98
         self.assertListEqual(
             self.get_from_offsets(outputs["char_offsets"]		,						"start_offset" )		,						[0, 1, 4, 7, 9, 11, 12, 15, 16] )
         self.assertListEqual(
             self.get_from_offsets(outputs["char_offsets"]		,						"end_offset" )		,						[1, 4, 6, 9, 10, 12, 15, 16, 17] )






  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizer(word_delimiter_token="|" )

         def check_list_tuples_equal(_lowercase      :					Any		,						_lowercase      :					Optional[Any] ):
                self.assertTrue(isinstance(_lowercase		,						_lowercase ) )
                self.assertTrue(isinstance(outputs_list[0]		,						_lowercase ) )

                # transform list to ModelOutput
                UpperCAmelCase__										=     WavaVecaPhonemeCTCTokenizerOutput(
                    {k: [d[k] for d in outputs_list] for k in outputs_list[0]} )

                self.assertListEqual(outputs_batch["text"]		,						outputs_batch_a["text"] )

                def recursive_check(_lowercase      :					Optional[int]		,						_lowercase      :					Optional[int] ):
                       if isinstance(_lowercase		,						_lowercase ):
                              [recursive_check(_lowercase		,						_lowercase ) for la, la in zip(_lowercase		,						_lowercase )]
                       self.assertEqual(_lowercase		,						_lowercase )

                if "char_offsets" in outputs_batch:
                       recursive_check(outputs_batch["char_offsets"]		,						outputs_batch_a["char_offsets"] )

        # fmt: off
         UpperCAmelCase__										=     [
             [11, 5, 15, tokenizer.pad_token_id, 15, 4, 8, 98, 32, 32, 32, 32, 4, 33, tokenizer.word_delimiter_token_id, 32, 32, 33, 34, 34],
             [24, 22, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 24, 22, 22, 22, 4, 5, 77, tokenizer.pad_token_id, 22, 22, 4, 34, 34, 34, 34],
         ]
         # fmt: on

         # We assume that `decode` works as expected. All we will check now is
         # the output type is correct and the output is identical to `decode`

         # char
         UpperCAmelCase__										=     tokenizer.batch_decode(_lowercase		,						output_char_offsets=_lowercase )
         UpperCAmelCase__										=     [tokenizer.decode(_lowercase		,						output_char_offsets=_lowercase ) for ids in sample_ids]
         check_list_tuples_equal(_lowercase		,						_lowercase )






  @unittest.skip("Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes" )
  def 			_UpperCAmelCase  (					self      :					int ):




         """simple docstring"""







         pass






  @unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes" )
  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         pass






  @unittest.skip("encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency" )
  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         pass






  @unittest.skip("Wav2Vec2PhonemeModel has no max model length => no testing" )
  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         pass






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizers(do_lower_case=_lowercase )
         for tokenizer in tokenizers:
                with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       UpperCAmelCase__										=     tokenizer.vocab_size
                       UpperCAmelCase__										=     len(_lowercase )

                       self.assertNotEqual(_lowercase		,						0 )

                       # We usually have added tokens from the start in tests because our vocab fixtures are
                       # smaller than the original vocabs - let's not assert this
                       # self.assertEqual(vocab_size, all_size)

                       UpperCAmelCase__										=     ["aaaaa bbbbbb", "cccccccccdddddddd"]
                       UpperCAmelCase__										=     tokenizer.add_tokens(_lowercase )
                       UpperCAmelCase__										=     tokenizer.vocab_size
                       UpperCAmelCase__										=     len(_lowercase )

                       self.assertNotEqual(_lowercase		,						0 )
                       self.assertEqual(_lowercase		,						_lowercase )
                       self.assertEqual(_lowercase		,						len(_lowercase ) )
                       self.assertEqual(_lowercase		,						all_size + len(_lowercase ) )

                       UpperCAmelCase__										=     tokenizer.encode("aaaaa bbbbbb low cccccccccdddddddd l"		,						add_special_tokens=_lowercase )

                       self.assertGreaterEqual(len(_lowercase )		,						4 )
                       self.assertGreater(tokens[0]		,						tokenizer.vocab_size - 1 )
                       self.assertGreater(tokens[-3]		,						tokenizer.vocab_size - 1 )

                       UpperCAmelCase__										=     {"eos_token": ">>>>|||<||<<|<<", "pad_token": "<<<<<|||>|>>>>|>"}
                       UpperCAmelCase__										=     tokenizer.add_special_tokens(_lowercase )
                       UpperCAmelCase__										=     tokenizer.vocab_size
                       UpperCAmelCase__										=     len(_lowercase )

                       self.assertNotEqual(_lowercase		,						0 )
                       self.assertEqual(_lowercase		,						_lowercase )
                       self.assertEqual(_lowercase		,						len(_lowercase ) )
                       self.assertEqual(_lowercase		,						all_size_a + len(_lowercase ) )

                       UpperCAmelCase__										=     tokenizer.encode(
                           ">>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l"		,						add_special_tokens=_lowercase )

                       self.assertGreaterEqual(len(_lowercase )		,						6 )
                       self.assertGreater(tokens[0]		,						tokenizer.vocab_size - 1 )
                       self.assertGreater(tokens[0]		,						tokens[1] )
                       self.assertGreater(tokens[-3]		,						tokenizer.vocab_size - 1 )
                       self.assertGreater(tokens[-3]		,						tokens[-4] )
                       self.assertEqual(tokens[0]		,						tokenizer.eos_token_id )
                       self.assertEqual(tokens[-3]		,						tokenizer.pad_token_id )






  @unittest.skip("The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode." )
  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         pass






  @unittest.skip("The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode." )
  def 			_UpperCAmelCase  (					self      :					Optional[int] ):




         """simple docstring"""







         pass






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizers(fast=_lowercase		,						do_lower_case=_lowercase )
         for tokenizer in tokenizers:
                with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       UpperCAmelCase__										=     ["ð", "ɪ", "s", "ɪ", "z", "ɐ", "t", "ɛ", "k", "s", "t"]
                       UpperCAmelCase__										=     tokenizer.convert_tokens_to_string(_lowercase )

                       self.assertIsInstance(output["text"]		,						_lowercase )





