





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        snake_case_    (		__lowercase					,unittest.TestCase						):
  A_      							=   WavaVecaPhonemeCTCTokenizer
  A_      							=   False






  def 				UpperCAmelCase__						(							self			:					Tuple      )->Tuple:






   '''simple docstring'''

   super().setUp()

   __lowerCAmelCase					:	List[Any]      =     (
       """<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(""" """      )
   __lowerCAmelCase					:	Any      =     dict(zip(_snake_case       ,  range(len(_snake_case      )      )      )      )

   __lowerCAmelCase					:	List[Any]      =     {"""pad_token""": """<pad>""", """unk_token""": """<unk>""", """bos_token""": """<s>""", """eos_token""": """</s>"""}

   __lowerCAmelCase					:	Optional[Any]      =     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(_snake_case      ) + """\n"""      )






  def 				UpperCAmelCase__						(							self			:					Optional[int]       ,  _snake_case			:					str       ,  _snake_case			:					Tuple=False       ,  _snake_case			:					Any=20       ,  _snake_case			:					Dict=5      )->Tuple[str, list]:






   '''simple docstring'''

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

   # Ensure consistency
   __lowerCAmelCase					:	Any      =     tokenizer.decode(_snake_case       ,  clean_up_tokenization_spaces=_snake_case      )
   if " " not in output_txt and len(_snake_case      ) > 1:
    __lowerCAmelCase					:	Optional[Any]      =     (
        tokenizer.decode([toks_ids[0]]       ,  clean_up_tokenization_spaces=_snake_case      )
        + """ """
        + tokenizer.decode(toks_ids[1:]       ,  clean_up_tokenization_spaces=_snake_case      )
    )
   if with_prefix_space:
    __lowerCAmelCase					:	int      =     """ """ + output_txt
   __lowerCAmelCase					:	Dict      =     tokenizer.encode(_snake_case       ,  add_special_tokens=_snake_case      )
   return output_txt, output_ids






  def 				UpperCAmelCase__						(							self			:					Any       ,  **_snake_case			:					int      )->Union[str, Any]:






   '''simple docstring'''

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






  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->Dict:






   '''simple docstring'''

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

   # check adding a single token
   tokenizer.add_tokens("""xxx"""      )
   __lowerCAmelCase					:	List[Any]      =     tokenizer("""m xxx ɪ"""       ,  do_phonemize=_snake_case      ).input_ids
   self.assertEqual(_snake_case       ,  [13, 392, 17]      )  # xxx should be last token

   tokenizer.add_tokens(["""aaa""", """bbb""", """ccc"""]      )
   __lowerCAmelCase					:	int      =     tokenizer("""m aaa ɪ ccc"""       ,  do_phonemize=_snake_case      ).input_ids
   self.assertEqual(_snake_case       ,  [13, 393, 17, 395]      )  # aaa and ccc should be after xxx and 2 after aaa

   __lowerCAmelCase					:	Optional[int]      =     tokenizer("""maɪ c"""       ,  do_phonemize=_snake_case      ).input_ids
   self.assertEqual(_snake_case       ,  [3, 200]      )  # mai should be <unk> (=3)






  def 				UpperCAmelCase__						(							self			:					Tuple      )->str:






   '''simple docstring'''

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

   __lowerCAmelCase					:	Optional[Any]      =     """Hello how are you"""
   __lowerCAmelCase					:	List[str]      =     tokenizer.phonemize(_snake_case       ,  phonemizer_lang="""en-us"""      )
   self.assertEqual(_snake_case       ,  """h ə l oʊ h aʊ ɑːɹ j uː"""      )






  def 				UpperCAmelCase__						(							self			:					Dict      )->int:






   '''simple docstring'''

   __lowerCAmelCase					:	Optional[Any]      =     self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""      )

   __lowerCAmelCase					:	Optional[Any]      =     """Hello how are you"""
   __lowerCAmelCase					:	Optional[int]      =     tokenizer.phonemize(_snake_case       ,  phonemizer_lang="""en-us"""      )
   self.assertEqual(tokenizer(_snake_case      ).input_ids       ,  tokenizer(_snake_case       ,  do_phonemize=_snake_case      ).input_ids      )






  def 				UpperCAmelCase__						(							self			:					List[Any]      )->Union[str, Any]:






   '''simple docstring'''

   __lowerCAmelCase					:	Any      =     self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""      )
   __lowerCAmelCase					:	Optional[Any]      =     """Hello how are you"""
   __lowerCAmelCase					:	Union[str, Any]      =     tokenizer.phonemize(_snake_case       ,  phonemizer_lang="""en-us"""      )

   __lowerCAmelCase					:	Union[str, Any]      =     tokenizer.decode(tokenizer(_snake_case      ).input_ids      )

   self.assertEqual(_snake_case       ,  _snake_case      )






  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->Dict:






   '''simple docstring'''

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

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






  def 				UpperCAmelCase__						(							self			:					str      )->Tuple:






   '''simple docstring'''

   __lowerCAmelCase					:	List[str]      =     self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft"""       ,  word_delimiter_token="""|"""      )
   tokenizer.add_tokens("""|"""      )

   __lowerCAmelCase					:	str      =     """Hello how are you"""
   __lowerCAmelCase					:	Union[str, Any]      =     tokenizer.phonemize(_snake_case       ,  phonemizer_lang="""en-us"""      )
   self.assertEqual(_snake_case       ,  """h ə l oʊ | h aʊ | ɑːɹ | j uː |"""      )






  def 				UpperCAmelCase__						(							self			:					str      )->List[Any]:






   '''simple docstring'''

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

   __lowerCAmelCase					:	Dict      =     """Hello how are you"""
   __lowerCAmelCase					:	str      =     tokenizer.phonemize(_snake_case       ,  phonemizer_lang="""en-us"""      )
   self.assertEqual(tokenizer(_snake_case      ).input_ids       ,  tokenizer(_snake_case       ,  do_phonemize=_snake_case      ).input_ids      )






  def 				UpperCAmelCase__						(							self			:					Any      )->List[str]:






   '''simple docstring'''

   __lowerCAmelCase					:	List[Any]      =     self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft"""       ,  word_delimiter_token="""|"""      )
   tokenizer.add_tokens("""|"""      )

   # fmt: off
   __lowerCAmelCase					:	Optional[Any]      =     [
       [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
   __lowerCAmelCase					:	Dict      =     tokenizer.decode(sample_ids[0]      )
   __lowerCAmelCase					:	List[Any]      =     tokenizer.batch_decode(_snake_case      )
   self.assertEqual(_snake_case       ,  batch_tokens[0]      )
   self.assertEqual(_snake_case       ,  ["""k s ɾ ɾ l ɭʲ""", """j ð s j ð s oːɹ"""]      )

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






  def 				UpperCAmelCase__						(							self			:					Optional[int]      )->str:






   '''simple docstring'''

   __lowerCAmelCase					:	Optional[Any]      =     self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft"""       ,  word_delimiter_token="""|"""      )
   tokenizer.add_tokens("""|"""      )

   __lowerCAmelCase					:	Optional[int]      =     """Hello how are you"""
   __lowerCAmelCase					:	Union[str, Any]      =     tokenizer.phonemize(_snake_case       ,  phonemizer_lang="""en-us"""      )

   __lowerCAmelCase					:	Tuple      =     tokenizer.decode(tokenizer(_snake_case      ).input_ids       ,  filter_word_delimiter_token=_snake_case      )

   self.assertEqual(_snake_case       ,  _snake_case      )






  def 				UpperCAmelCase__						(							self			:					int      )->int:






   '''simple docstring'''

   __lowerCAmelCase					:	Union[str, Any]      =     self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft"""       ,  word_delimiter_token="""|"""      )
   tokenizer.add_tokens("""|"""      )

   __lowerCAmelCase					:	Union[str, Any]      =     """Hello how are you"""
   __lowerCAmelCase					:	str      =     tokenizer.phonemize(_snake_case       ,  phonemizer_lang="""en-us"""      )

   __lowerCAmelCase					:	Union[str, Any]      =     tokenizer.decode(tokenizer(_snake_case      ).input_ids       ,  filter_word_delimiter_token=_snake_case      )

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






  def 				UpperCAmelCase__						(							self			:					int      )->List[str]:






   '''simple docstring'''

   __lowerCAmelCase					:	Any      =     self.tokenizer_class.from_pretrained(
       """facebook/wav2vec2-lv-60-espeak-cv-ft"""       ,  word_delimiter_token=_snake_case      )
   __lowerCAmelCase					:	str      =     """Hello how are you"""

   __lowerCAmelCase					:	List[Any]      =     tokenizer(_snake_case       ,  phonemizer_lang="""en-us"""      ).input_ids
   __lowerCAmelCase					:	List[str]      =     tokenizer(_snake_case       ,  phonemizer_lang="""fr-fr"""      ).input_ids

   self.assertNotEqual(_snake_case       ,  _snake_case      )

   __lowerCAmelCase					:	Optional[Any]      =     tokenizer.decode(_snake_case      )
   __lowerCAmelCase					:	Any      =     tokenizer.decode(_snake_case      )

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






  def 				UpperCAmelCase__						(							self			:					Dict      )->Tuple:






   '''simple docstring'''

   __lowerCAmelCase					:	Any      =     self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""      )
   __lowerCAmelCase					:	Optional[Any]      =     """Hello how Are you"""
   __lowerCAmelCase					:	Dict      =     """hello how are you"""

   __lowerCAmelCase					:	Optional[int]      =     tokenizer(_snake_case      ).input_ids
   __lowerCAmelCase					:	List[Any]      =     tokenizer(_snake_case      ).input_ids

   self.assertEqual(_snake_case       ,  _snake_case      )






  def 				UpperCAmelCase__						(							self			:					Optional[int]      )->Dict:






   '''simple docstring'''

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

   # fmt: off
   __lowerCAmelCase					:	List[Any]      =     [
       [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 392, 392, 393, 392, 392, 393, 394, 394],
       [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 394, 394],
   ]
   # fmt: on

   __lowerCAmelCase					:	List[str]      =     tokenizer.batch_decode(_snake_case      )
   self.assertEqual(_snake_case       ,  ["""k s ɾ ɾ l ɭʲ!?!? $$$""", """j ð s j ð s oːɹ $$$"""]      )






  @staticmethod
  def 				UpperCAmelCase__						(							_snake_case			:					Any       ,  _snake_case			:					str      )->Tuple:






   '''simple docstring'''

   __lowerCAmelCase					:	List[Any]      =     [d[key] for d in offsets]
   return retrieved_list






  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->int:






   '''simple docstring'''

   __lowerCAmelCase					:	Optional[Any]      =     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"
   __lowerCAmelCase					:	str      =     [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

   __lowerCAmelCase					:	List[str]      =     tokenizer.decode(_snake_case       ,  output_char_offsets=_snake_case       ,  filter_word_delimiter_token=_snake_case      )
   # 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(_snake_case       ,  _snake_case      )      )

   # 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			:					Optional[Any]      )->int:






   '''simple docstring'''

   __lowerCAmelCase					:	Union[str, Any]      =     self.get_tokenizer(word_delimiter_token="""|"""      )

   def check_list_tuples_equal(_snake_case			:					List[str]       ,  _snake_case			:					int      ):
    self.assertTrue(isinstance(_snake_case       ,  _snake_case      )      )
    self.assertTrue(isinstance(outputs_list[0]       ,  _snake_case      )      )

    # transform list to ModelOutput
    __lowerCAmelCase					:	Optional[int]      =     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(_snake_case			:					Dict       ,  _snake_case			:					List[str]      ):
     if isinstance(_snake_case       ,  _snake_case      ):
      [recursive_check(_snake_case       ,  _snake_case      ) for la, la in zip(_snake_case       ,  _snake_case      )]
     self.assertEqual(_snake_case       ,  _snake_case      )

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

        # fmt: off
   __lowerCAmelCase					:	Optional[Any]      =     [
       [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
   __lowerCAmelCase					:	int      =     tokenizer.batch_decode(_snake_case       ,  output_char_offsets=_snake_case      )
   __lowerCAmelCase					:	Optional[int]      =     [tokenizer.decode(_snake_case       ,  output_char_offsets=_snake_case      ) for ids in sample_ids]
   check_list_tuples_equal(_snake_case       ,  _snake_case      )






  @unittest.skip("""Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes"""      )
  def 				UpperCAmelCase__						(							self			:					Dict      )->Dict:






   '''simple docstring'''

   pass






  @unittest.skip("""Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"""      )
  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->int:






   '''simple docstring'''

   pass






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






   '''simple docstring'''

   pass






  @unittest.skip("""Wav2Vec2PhonemeModel has no max model length => no testing"""      )
  def 				UpperCAmelCase__						(							self			:					Tuple      )->str:






   '''simple docstring'''

   pass






  def 				UpperCAmelCase__						(							self			:					Optional[int]      )->int:






   '''simple docstring'''

   __lowerCAmelCase					:	Dict      =     self.get_tokenizers(do_lower_case=_snake_case      )
   for tokenizer in tokenizers:
    with self.subTest(F'''{tokenizer.__class__.__name__}'''      ):
     __lowerCAmelCase					:	Any      =     tokenizer.vocab_size
     __lowerCAmelCase					:	Tuple      =     len(_snake_case      )

     self.assertNotEqual(_snake_case       ,  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)

     __lowerCAmelCase					:	Optional[int]      =     ["""aaaaa bbbbbb""", """cccccccccdddddddd"""]
     __lowerCAmelCase					:	str      =     tokenizer.add_tokens(_snake_case      )
     __lowerCAmelCase					:	Tuple      =     tokenizer.vocab_size
     __lowerCAmelCase					:	Union[str, Any]      =     len(_snake_case      )

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

     __lowerCAmelCase					:	str      =     tokenizer.encode("""aaaaa bbbbbb low cccccccccdddddddd l"""       ,  add_special_tokens=_snake_case      )

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

     __lowerCAmelCase					:	str      =     {"""eos_token""": """>>>>|||<||<<|<<""", """pad_token""": """<<<<<|||>|>>>>|>"""}
     __lowerCAmelCase					:	Union[str, Any]      =     tokenizer.add_special_tokens(_snake_case      )
     __lowerCAmelCase					:	Optional[int]      =     tokenizer.vocab_size
     __lowerCAmelCase					:	str      =     len(_snake_case      )

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

     __lowerCAmelCase					:	Any      =     tokenizer.encode(
         """>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l"""       ,  add_special_tokens=_snake_case      )

     self.assertGreaterEqual(len(_snake_case      )       ,  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			:					Optional[int]      )->Optional[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			:					Tuple      )->int:






   '''simple docstring'''

   pass






  def 				UpperCAmelCase__						(							self			:					Tuple      )->Dict:






   '''simple docstring'''

   __lowerCAmelCase					:	Union[str, Any]      =     self.get_tokenizers(fast=_snake_case       ,  do_lower_case=_snake_case      )
   for tokenizer in tokenizers:
    with self.subTest(F'''{tokenizer.__class__.__name__}'''      ):
     __lowerCAmelCase					:	Tuple      =     ["""ð""", """ɪ""", """s""", """ɪ""", """z""", """ɐ""", """t""", """ɛ""", """k""", """s""", """t"""]
     __lowerCAmelCase					:	Optional[Any]      =     tokenizer.convert_tokens_to_string(_snake_case      )

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






import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_UpperCAmelCase             =							get_tests_dir('fixtures/test_sentencepiece_no_bos.model')






@require_sentencepiece
@require_tokenizers
class        snake_case_    (		__lowercase					,unittest.TestCase						):
  A_      							=   PegasusTokenizer
  A_      							=   PegasusTokenizerFast
  A_      							=   True
  A_      							=   True






  def 				UpperCAmelCase__						(							self			:					List[str]      )->Dict:






   '''simple docstring'''

   super().setUp()

   # We have a SentencePiece fixture for testing
   __lowerCAmelCase					:	Optional[int]      =       PegasusTokenizer(_snake_case      )
   tokenizer.save_pretrained(self.tmpdirname      )






  @cached_property
  def 				UpperCAmelCase__						(							self			:					str      )->Dict:






   '''simple docstring'''

   return PegasusTokenizer.from_pretrained("""google/pegasus-large"""      )






  def 				UpperCAmelCase__						(							self			:					Optional[Any]       ,  **_snake_case			:					Tuple      )->PegasusTokenizer:






   '''simple docstring'''

   return PegasusTokenizer.from_pretrained(self.tmpdirname       ,  **_snake_case      )






  def 				UpperCAmelCase__						(							self			:					Dict       ,  _snake_case			:					List[Any]      )->Tuple:






   '''simple docstring'''

   return ("This is a test", "This is a test")






  def 				UpperCAmelCase__						(							self			:					Union[str, Any]      )->Dict:






   '''simple docstring'''

   __lowerCAmelCase					:	Dict      =       """</s>"""
   __lowerCAmelCase					:	int      =       1

   self.assertEqual(self.get_tokenizer()._convert_token_to_id(_snake_case      )       ,  _snake_case      )
   self.assertEqual(self.get_tokenizer()._convert_id_to_token(_snake_case      )       ,  _snake_case      )






  def 				UpperCAmelCase__						(							self			:					int      )->Tuple:






   '''simple docstring'''

   __lowerCAmelCase					:	List[Any]      =       list(self.get_tokenizer().get_vocab().keys()      )

   self.assertEqual(vocab_keys[0]       ,  """<pad>"""      )
   self.assertEqual(vocab_keys[1]       ,  """</s>"""      )
   self.assertEqual(vocab_keys[-1]       ,  """v"""      )
   self.assertEqual(len(_snake_case      )       ,  1103      )






  def 				UpperCAmelCase__						(							self			:					Optional[int]      )->Optional[int]:






   '''simple docstring'''

   self.assertEqual(self.get_tokenizer().vocab_size       ,  1103      )






  def 				UpperCAmelCase__						(							self			:					Dict      )->str:






   '''simple docstring'''

   __lowerCAmelCase					:	Any      =       self.rust_tokenizer_class.from_pretrained(self.tmpdirname      )
   __lowerCAmelCase					:	Dict      =       self.tokenizer_class.from_pretrained(self.tmpdirname      )
   __lowerCAmelCase					:	str      =       (
       """Let's see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important"""
       """ </s> <pad> <pad> <pad>"""
   )
   __lowerCAmelCase					:	str      =       rust_tokenizer([raw_input_str]       ,  return_tensors=_snake_case       ,  add_special_tokens=_snake_case      ).input_ids[0]
   __lowerCAmelCase					:	Tuple      =       py_tokenizer([raw_input_str]       ,  return_tensors=_snake_case       ,  add_special_tokens=_snake_case      ).input_ids[0]
   self.assertListEqual(_snake_case       ,  _snake_case      )






  def 				UpperCAmelCase__						(							self			:					Optional[int]      )->Union[str, Any]:






   '''simple docstring'''

   __lowerCAmelCase					:	List[str]      =       self._large_tokenizer
   # <mask_1> masks whole sentence while <mask_2> masks single word
   __lowerCAmelCase					:	Tuple      =       """<mask_1> To ensure a <mask_2> flow of bank resolutions."""
   __lowerCAmelCase					:	List[str]      =       [2, 413, 615, 114, 3, 1971, 113, 1679, 10710, 107, 1]
   __lowerCAmelCase					:	str      =       tokenizer([raw_input_str]       ,  return_tensors=_snake_case      ).input_ids[0]
   self.assertListEqual(_snake_case       ,  _snake_case      )






  def 				UpperCAmelCase__						(							self			:					List[str]      )->List[str]:






   '''simple docstring'''

   __lowerCAmelCase					:	Optional[Any]      =       self._large_tokenizer
   # The tracebacks for the following asserts are **better** without messages or self.assertEqual
   assert tokenizer.vocab_size == 96103
   assert tokenizer.pad_token_id == 0
   assert tokenizer.eos_token_id == 1
   assert tokenizer.offset == 103
   assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
   assert tokenizer.unk_token == "<unk>"
   assert tokenizer.model_max_length == 1024
   __lowerCAmelCase					:	Tuple      =       """To ensure a smooth flow of bank resolutions."""
   __lowerCAmelCase					:	Optional[Any]      =       [413, 615, 114, 2291, 1971, 113, 1679, 10710, 107, 1]
   __lowerCAmelCase					:	int      =       tokenizer([raw_input_str]       ,  return_tensors=_snake_case      ).input_ids[0]
   self.assertListEqual(_snake_case       ,  _snake_case      )
   assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]      ) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]






  @require_torch
  def 				UpperCAmelCase__						(							self			:					Any      )->Any:






   '''simple docstring'''

   __lowerCAmelCase					:	List[Any]      =       ["""This is going to be way too long.""" * 150, """short example"""]
   __lowerCAmelCase					:	Union[str, Any]      =       ["""not super long but more than 5 tokens""", """tiny"""]
   __lowerCAmelCase					:	Dict      =       self._large_tokenizer(_snake_case       ,  padding=_snake_case       ,  truncation=_snake_case       ,  return_tensors="""pt"""      )
   __lowerCAmelCase					:	Tuple      =       self._large_tokenizer(
       text_target=_snake_case       ,  max_length=5       ,  padding=_snake_case       ,  truncation=_snake_case       ,  return_tensors="""pt"""      )

   assert batch.input_ids.shape == (2, 1024)
   assert batch.attention_mask.shape == (2, 1024)
   assert targets["input_ids"].shape == (2, 5)
   assert len(_snake_case      ) == 2  # input_ids, attention_mask.






  @slow
  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->Any:






   '''simple docstring'''

   __lowerCAmelCase					:	Optional[Any]      =       {"""input_ids""": [[38979, 143, 18485, 606, 130, 26669, 87686, 121, 54189, 1129, 111, 26669, 87686, 121, 9114, 14787, 121, 13249, 158, 592, 956, 121, 14621, 31576, 143, 62613, 108, 9688, 930, 43430, 11562, 62613, 304, 108, 11443, 897, 108, 9314, 17415, 63399, 108, 11443, 7614, 18316, 118, 4284, 7148, 12430, 143, 1400, 25703, 158, 111, 4284, 7148, 11772, 143, 21297, 1064, 158, 122, 204, 3506, 1754, 1133, 14787, 1581, 115, 33224, 4482, 111, 1355, 110, 29173, 317, 50833, 108, 20147, 94665, 111, 77198, 107, 1], [110, 62613, 117, 638, 112, 1133, 121, 20098, 1355, 79050, 13872, 135, 1596, 53541, 1352, 141, 13039, 5542, 124, 302, 518, 111, 268, 2956, 115, 149, 4427, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [139, 1235, 2799, 18289, 17780, 204, 109, 9474, 1296, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
   # fmt: on

   self.tokenizer_integration_test_util(
       expected_encoding=_snake_case       ,  model_name="""google/bigbird-pegasus-large-arxiv"""       ,  revision="""ba85d0851d708441f91440d509690f1ab6353415"""       ,  )






@require_sentencepiece
@require_tokenizers
class        snake_case_    (		__lowercase					,unittest.TestCase						):
  A_      							=   PegasusTokenizer
  A_      							=   PegasusTokenizerFast
  A_      							=   True
  A_      							=   True






  def 				UpperCAmelCase__						(							self			:					Tuple      )->Tuple:






   '''simple docstring'''

   super().setUp()

   # We have a SentencePiece fixture for testing
   __lowerCAmelCase					:	Any      =       PegasusTokenizer(_snake_case       ,  offset=0       ,  mask_token_sent=_snake_case       ,  mask_token="""[MASK]"""      )
   tokenizer.save_pretrained(self.tmpdirname      )






  @cached_property
  def 				UpperCAmelCase__						(							self			:					Any      )->str:






   '''simple docstring'''

   return PegasusTokenizer.from_pretrained("""google/bigbird-pegasus-large-arxiv"""      )






  def 				UpperCAmelCase__						(							self			:					Union[str, Any]       ,  **_snake_case			:					Optional[Any]      )->PegasusTokenizer:






   '''simple docstring'''

   return PegasusTokenizer.from_pretrained(self.tmpdirname       ,  **_snake_case      )






  def 				UpperCAmelCase__						(							self			:					List[str]       ,  _snake_case			:					Optional[int]      )->Union[str, Any]:






   '''simple docstring'''

   return ("This is a test", "This is a test")






  def 				UpperCAmelCase__						(							self			:					List[Any]      )->str:






   '''simple docstring'''

   __lowerCAmelCase					:	Tuple      =       self.rust_tokenizer_class.from_pretrained(self.tmpdirname      )
   __lowerCAmelCase					:	List[str]      =       self.tokenizer_class.from_pretrained(self.tmpdirname      )
   __lowerCAmelCase					:	int      =       (
       """Let's see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>"""
       """ <pad> <pad> <pad>"""
   )
   __lowerCAmelCase					:	str      =       rust_tokenizer([raw_input_str]       ,  return_tensors=_snake_case       ,  add_special_tokens=_snake_case      ).input_ids[0]
   __lowerCAmelCase					:	Tuple      =       py_tokenizer([raw_input_str]       ,  return_tensors=_snake_case       ,  add_special_tokens=_snake_case      ).input_ids[0]
   self.assertListEqual(_snake_case       ,  _snake_case      )






  @require_torch
  def 				UpperCAmelCase__						(							self			:					str      )->Optional[Any]:






   '''simple docstring'''

   __lowerCAmelCase					:	int      =       ["""This is going to be way too long.""" * 1000, """short example"""]
   __lowerCAmelCase					:	Optional[int]      =       ["""not super long but more than 5 tokens""", """tiny"""]
   __lowerCAmelCase					:	str      =       self._large_tokenizer(_snake_case       ,  padding=_snake_case       ,  truncation=_snake_case       ,  return_tensors="""pt"""      )
   __lowerCAmelCase					:	List[Any]      =       self._large_tokenizer(
       text_target=_snake_case       ,  max_length=5       ,  padding=_snake_case       ,  truncation=_snake_case       ,  return_tensors="""pt"""      )

   assert batch.input_ids.shape == (2, 4096)
   assert batch.attention_mask.shape == (2, 4096)
   assert targets["input_ids"].shape == (2, 5)
   assert len(_snake_case      ) == 2  # input_ids, attention_mask.






  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->Any:






   '''simple docstring'''

   __lowerCAmelCase					:	Tuple      =       (
       """This is an example string that is used to test the original TF implementation against the HF"""
       """ implementation"""
   )

   __lowerCAmelCase					:	Optional[Any]      =       self._large_tokenizer(_snake_case      ).input_ids

   self.assertListEqual(
       _snake_case       ,  [182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 25016, 3137, 464, 109, 26955, 3137, 1]       ,  )