"""simple docstring"""


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 							a					(		lowerCAmelCase_						,				unittest.TestCase ):
    _snake_case  :	Any  				=				WavaVecaPhonemeCTCTokenizer
    _snake_case  :	Any  				=				False


    def   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      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(__lowerCAmelCase ,					range(len(__lowerCAmelCase       )       )       )       )

      _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(__lowerCAmelCase       ) + """\n"""       )


    def   lowerCAmelCase_	(       self						:	str ,					__lowerCAmelCase						:	str ,					__lowerCAmelCase						:	Dict=False ,					__lowerCAmelCase						:	Tuple=20 ,					__lowerCAmelCase						:	int=5       ):
      _UpperCAmelCase    			=   [(i, tokenizer.decode([i] ,					clean_up_tokenization_spaces=__lowerCAmelCase       )) for i in range(len(__lowerCAmelCase       )       )]
      _UpperCAmelCase    			=   list(filter(lambda __lowerCAmelCase       : [t[0]] == tokenizer.encode(t[1] ,					do_phonemize=__lowerCAmelCase       ) ,					__lowerCAmelCase       )       )
      if max_length is not None and len(__lowerCAmelCase       ) > max_length:
        _UpperCAmelCase    			=   toks[:max_length]
      if min_length is not None and len(__lowerCAmelCase       ) < min_length and len(__lowerCAmelCase       ) > 0:
        while len(__lowerCAmelCase       ) < 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(__lowerCAmelCase ,					clean_up_tokenization_spaces=__lowerCAmelCase       )
      if " " not in output_txt and len(__lowerCAmelCase       ) > 1:
        _UpperCAmelCase    			=   (
            tokenizer.decode([toks_ids[0]] ,					clean_up_tokenization_spaces=__lowerCAmelCase       )
            + """ """
            + tokenizer.decode(toks_ids[1:] ,					clean_up_tokenization_spaces=__lowerCAmelCase       )
        )
      if with_prefix_space:
        _UpperCAmelCase    			=   """ """ + output_txt
      _UpperCAmelCase    			=   tokenizer.encode(__lowerCAmelCase ,					add_special_tokens=__lowerCAmelCase       )
      return output_txt, output_ids


    def   lowerCAmelCase_	(       self						:	Optional[Any] ,					**__lowerCAmelCase						:	Optional[Any]       ):
      kwargs.update(self.special_tokens_map       )
      return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname ,					**__lowerCAmelCase       )


    def   lowerCAmelCase_	(       self						:	Dict       ):
      _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=__lowerCAmelCase       ).input_ids
      self.assertEqual(__lowerCAmelCase ,					[13, 392, 17]       )  # xxx should be last token

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

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


    def   lowerCAmelCase_	(       self						:	str       ):
      _UpperCAmelCase    			=   self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""       )

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


    def   lowerCAmelCase_	(       self						:	Tuple       ):
      _UpperCAmelCase    			=   self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""       )

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


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

      _UpperCAmelCase    			=   tokenizer.decode(tokenizer(__lowerCAmelCase       ).input_ids       )

      self.assertEqual(__lowerCAmelCase ,					__lowerCAmelCase       )


    def   lowerCAmelCase_	(       self						:	str       ):
      _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(__lowerCAmelCase       )
      self.assertEqual(__lowerCAmelCase ,					batch_tokens[0]       )
      self.assertEqual(__lowerCAmelCase ,					["""k s ɾ ɾ l ɭʲ""", """j ð s j ð s oːɹ"""]       )


    def   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      _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(__lowerCAmelCase ,					phonemizer_lang="""en-us"""       )
      self.assertEqual(__lowerCAmelCase ,					"""h ə l oʊ | h aʊ | ɑːɹ | j uː |"""       )


    def   lowerCAmelCase_	(       self						:	Any       ):
      _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(__lowerCAmelCase ,					phonemizer_lang="""en-us"""       )
      self.assertEqual(tokenizer(__lowerCAmelCase       ).input_ids ,					tokenizer(__lowerCAmelCase ,					do_phonemize=__lowerCAmelCase       ).input_ids       )


    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      _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(__lowerCAmelCase       )
      self.assertEqual(__lowerCAmelCase ,					batch_tokens[0]       )
      self.assertEqual(__lowerCAmelCase ,					["""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=__lowerCAmelCase       )
      _UpperCAmelCase    			=   tokenizer.batch_decode(__lowerCAmelCase ,					filter_word_delimiter_token=__lowerCAmelCase       )
      self.assertEqual(__lowerCAmelCase ,					batch_tokens[0]       )
      self.assertEqual(__lowerCAmelCase ,					["""k s ɾ | ɾ l | ɭʲ""", """| j ð | s j ð s oːɹ"""]       )


    def   lowerCAmelCase_	(       self						:	List[str]       ):
      _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(__lowerCAmelCase ,					phonemizer_lang="""en-us"""       )

      _UpperCAmelCase    			=   tokenizer.decode(tokenizer(__lowerCAmelCase       ).input_ids ,					filter_word_delimiter_token=__lowerCAmelCase       )

      self.assertEqual(__lowerCAmelCase ,					__lowerCAmelCase       )


    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      _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(__lowerCAmelCase ,					phonemizer_lang="""en-us"""       )

      _UpperCAmelCase    			=   tokenizer.decode(tokenizer(__lowerCAmelCase       ).input_ids ,					filter_word_delimiter_token=__lowerCAmelCase       )

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


    def   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      _UpperCAmelCase    			=   self.tokenizer_class.from_pretrained(
          """facebook/wav2vec2-lv-60-espeak-cv-ft""" ,					word_delimiter_token=__lowerCAmelCase       )
      _UpperCAmelCase    			=   """Hello how are you"""

      _UpperCAmelCase    			=   tokenizer(__lowerCAmelCase ,					phonemizer_lang="""en-us"""       ).input_ids
      _UpperCAmelCase    			=   tokenizer(__lowerCAmelCase ,					phonemizer_lang="""fr-fr"""       ).input_ids

      self.assertNotEqual(__lowerCAmelCase ,					__lowerCAmelCase       )

      _UpperCAmelCase    			=   tokenizer.decode(__lowerCAmelCase       )
      _UpperCAmelCase    			=   tokenizer.decode(__lowerCAmelCase       )

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


    def   lowerCAmelCase_	(       self						:	List[str]       ):
      _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(__lowerCAmelCase       ).input_ids
      _UpperCAmelCase    			=   tokenizer(__lowerCAmelCase       ).input_ids

      self.assertEqual(__lowerCAmelCase ,					__lowerCAmelCase       )


    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      _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, 392, 392, 393, 392, 392, 393, 394, 394],
          [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 394, 394],
      ]
      # fmt: on

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


    @staticmethod
    def   lowerCAmelCase_	(       __lowerCAmelCase						:	str ,					__lowerCAmelCase						:	str       ):
      _UpperCAmelCase    			=   [d[key] for d in offsets]
      return retrieved_list


    def   lowerCAmelCase_	(       self						:	Any       ):
      _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(__lowerCAmelCase ,					output_char_offsets=__lowerCAmelCase ,					filter_word_delimiter_token=__lowerCAmelCase       )
      # 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(__lowerCAmelCase ,					__lowerCAmelCase       )       )

      # 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   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      _UpperCAmelCase    			=   self.get_tokenizer(word_delimiter_token="""|"""       )

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

        # 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(__lowerCAmelCase						:	Dict ,					__lowerCAmelCase						:	Union[str, Any]       ):
          if isinstance(__lowerCAmelCase ,					__lowerCAmelCase       ):
            [recursive_check(__lowerCAmelCase ,					__lowerCAmelCase       ) for la, la in zip(__lowerCAmelCase ,					__lowerCAmelCase       )]
          self.assertEqual(__lowerCAmelCase ,					__lowerCAmelCase       )

        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(__lowerCAmelCase ,					output_char_offsets=__lowerCAmelCase       )
      _UpperCAmelCase    			=   [tokenizer.decode(__lowerCAmelCase ,					output_char_offsets=__lowerCAmelCase       ) for ids in sample_ids]
      check_list_tuples_equal(__lowerCAmelCase ,					__lowerCAmelCase       )


    @unittest.skip("""Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes"""       )
    def   lowerCAmelCase_	(       self						:	List[str]       ):
      pass


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


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


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


    def   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      _UpperCAmelCase    			=   self.get_tokenizers(do_lower_case=__lowerCAmelCase       )
      for tokenizer in tokenizers:
        with self.subTest(f'''{tokenizer.__class__.__name__}'''       ):
          _UpperCAmelCase    			=   tokenizer.vocab_size
          _UpperCAmelCase    			=   len(__lowerCAmelCase       )

          self.assertNotEqual(__lowerCAmelCase ,					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(__lowerCAmelCase       )
          _UpperCAmelCase    			=   tokenizer.vocab_size
          _UpperCAmelCase    			=   len(__lowerCAmelCase       )

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

          _UpperCAmelCase    			=   tokenizer.encode("""aaaaa bbbbbb low cccccccccdddddddd l""" ,					add_special_tokens=__lowerCAmelCase       )

          self.assertGreaterEqual(len(__lowerCAmelCase       ) ,					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(__lowerCAmelCase       )
          _UpperCAmelCase    			=   tokenizer.vocab_size
          _UpperCAmelCase    			=   len(__lowerCAmelCase       )

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

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

          self.assertGreaterEqual(len(__lowerCAmelCase       ) ,					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   lowerCAmelCase_	(       self						:	Any       ):
      pass


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


    def   lowerCAmelCase_	(       self						:	Any       ):
      # The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
      # is not the case for Wav2Vec2PhonemeCTCTokenizer.
      _UpperCAmelCase    			=   self.get_tokenizers(fast=__lowerCAmelCase ,					do_lower_case=__lowerCAmelCase       )
      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(__lowerCAmelCase       )

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

"""simple docstring"""


from __future__ import annotations

import pandas as pd






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   [0] * no_of_processes
  _UpperCAmelCase    			=   [0] * no_of_processes
  # Copy the burst time into remaining_time[]
  for i in range(lowercase		):
    _UpperCAmelCase    			=   burst_time[i]

  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   9_99_99_99_99
  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   False

  # Process until all processes are completed
  while complete != no_of_processes:
    for j in range(lowercase		):
      if arrival_time[j] <= increment_time and remaining_time[j] > 0:
        if remaining_time[j] < minm:
          _UpperCAmelCase    			=   remaining_time[j]
          _UpperCAmelCase    			=   j
          _UpperCAmelCase    			=   True

    if not check:
      increment_time += 1
      continue
    remaining_time[short] -= 1

    _UpperCAmelCase    			=   remaining_time[short]
    if minm == 0:
      _UpperCAmelCase    			=   9_99_99_99_99

    if remaining_time[short] == 0:
      complete += 1
      _UpperCAmelCase    			=   False

      # Find finish time of current process
      _UpperCAmelCase    			=   increment_time + 1

      # Calculate waiting time
      _UpperCAmelCase    			=   finish_time - arrival_time[short]
      _UpperCAmelCase    			=   finar - burst_time[short]

      if waiting_time[short] < 0:
        _UpperCAmelCase    			=   0

        # Increment time
    increment_time += 1
  return waiting_time






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   [0] * no_of_processes
  for i in range(lowercase		):
    _UpperCAmelCase    			=   burst_time[i] + waiting_time[i]
  return turn_around_time






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   0
  for i in range(lowercase		):
    _UpperCAmelCase    			=   total_waiting_time + waiting_time[i]
    _UpperCAmelCase    			=   total_turn_around_time + turn_around_time[i]
  print(f'''Average waiting time = {total_waiting_time / no_of_processes:.5f}'''		)
  print("""Average turn around time =""" ,total_turn_around_time / no_of_processes		)


if __name__ == "__main__":
    print("""Enter how many process you want to analyze""")
    UpperCAmelCase__			=    int(input())
    UpperCAmelCase__			=    [0] * no_of_processes
    UpperCAmelCase__			=    [0] * no_of_processes
    UpperCAmelCase__			=    list(range(1, no_of_processes + 1))

    for i in range(no_of_processes):
        print("""Enter the arrival time and burst time for process:--""" + str(i + 1))
        UpperCAmelCase__		, UpperCAmelCase__			=    map(int, input().split())

    UpperCAmelCase__			=    calculate_waitingtime(arrival_time, burst_time, no_of_processes)

    UpperCAmelCase__			=    burst_time
    UpperCAmelCase__			=    no_of_processes
    UpperCAmelCase__			=    waiting_time
    UpperCAmelCase__			=    calculate_turnaroundtime(bt, n, wt)

    calculate_average_times(waiting_time, turn_around_time, no_of_processes)

    UpperCAmelCase__			=    pd.DataFrame(
        list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
        columns=[
            """Process""",
            """BurstTime""",
            """ArrivalTime""",
            """WaitingTime""",
            """TurnAroundTime""",
        ],
    )

    # Printing the dataFrame
    pd.set_option("""display.max_rows""", fcfs.shape[0] + 1)
    print(fcfs)
