
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_		(      A  ,      unittest.TestCase       ):
       __lowerCamelCase				       =						WavaVecaPhonemeCTCTokenizer
       __lowerCamelCase				       =						False


       def 	_snake_case				(    self				)						->    List[str]:
              super().setUp()

              SCREAMING_SNAKE_CASE_							:				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(''' '''				)
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=dict(zip(__A						,       range(len(__A				)				)				)				)

              SCREAMING_SNAKE_CASE_							:				Any		={'''pad_token''': '''<pad>''', '''unk_token''': '''<unk>''', '''bos_token''': '''<s>''', '''eos_token''': '''</s>'''}

              SCREAMING_SNAKE_CASE_							:				str		=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(__A				) + '''\n'''				)


       def 	_snake_case				(    self						,       __A						,       __A=False						,       __A=20						,       __A=5				)						->    Tuple[str, list]:
              SCREAMING_SNAKE_CASE_							:				Dict		=[(i, tokenizer.decode([i]						,       clean_up_tokenization_spaces=__A				)) for i in range(len(__A				)				)]
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=list(filter(lambda __A				: [t[0]] == tokenizer.encode(t[1]						,       do_phonemize=__A				)						,       __A				)				)
              if max_length is not None and len(__A				) > max_length:
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=toks[:max_length]
              if min_length is not None and len(__A				) < min_length and len(__A				) > 0:
                     while len(__A				) < min_length:
                            SCREAMING_SNAKE_CASE_							:				Tuple		=toks + toks
        # toks_str = [t[1] for t in toks]
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=[t[0] for t in toks]

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


       def 	_snake_case				(    self						,       **__A				)						->    Dict:
              kwargs.update(self.special_tokens_map				)
              return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname						,       **__A				)


       def 	_snake_case				(    self				)						->    int:
              SCREAMING_SNAKE_CASE_							:				List[Any]		=self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''				)

              # check adding a single token
              tokenizer.add_tokens('''xxx'''				)
              SCREAMING_SNAKE_CASE_							:				List[str]		=tokenizer('''m xxx ɪ'''						,       do_phonemize=__A				).input_ids
              self.assertEqual(__A						,       [13, 392, 17]				)  # xxx should be last token

              tokenizer.add_tokens(['''aaa''', '''bbb''', '''ccc''']				)
              SCREAMING_SNAKE_CASE_							:				List[Any]		=tokenizer('''m aaa ɪ ccc'''						,       do_phonemize=__A				).input_ids
              self.assertEqual(__A						,       [13, 393, 17, 395]				)  # aaa and ccc should be after xxx and 2 after aaa

              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=tokenizer('''maɪ c'''						,       do_phonemize=__A				).input_ids
              self.assertEqual(__A						,       [3, 200]				)  # mai should be <unk> (=3)


       def 	_snake_case				(    self				)						->    Optional[Any]:
              SCREAMING_SNAKE_CASE_							:				str		=self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''				)

              SCREAMING_SNAKE_CASE_							:				Optional[Any]		='''Hello how are you'''
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=tokenizer.phonemize(__A						,       phonemizer_lang='''en-us'''				)
              self.assertEqual(__A						,       '''h ə l oʊ h aʊ ɑːɹ j uː'''				)


       def 	_snake_case				(    self				)						->    Tuple:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''				)

              SCREAMING_SNAKE_CASE_							:				int		='''Hello how are you'''
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=tokenizer.phonemize(__A						,       phonemizer_lang='''en-us'''				)
              self.assertEqual(tokenizer(__A				).input_ids						,       tokenizer(__A						,       do_phonemize=__A				).input_ids				)


       def 	_snake_case				(    self				)						->    List[str]:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''				)
              SCREAMING_SNAKE_CASE_							:				Tuple		='''Hello how are you'''
              SCREAMING_SNAKE_CASE_							:				Any		=tokenizer.phonemize(__A						,       phonemizer_lang='''en-us'''				)

              SCREAMING_SNAKE_CASE_							:				Optional[int]		=tokenizer.decode(tokenizer(__A				).input_ids				)

              self.assertEqual(__A						,       __A				)


       def 	_snake_case				(    self				)						->    Tuple:
              SCREAMING_SNAKE_CASE_							:				List[Any]		=self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''				)

              SCREAMING_SNAKE_CASE_							:				Dict		=[
                  [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
                  [24, 22, 5, 24, 22, 5, 77],
              ]
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=tokenizer.decode(sample_ids[0]				)
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=tokenizer.batch_decode(__A				)
              self.assertEqual(__A						,       batch_tokens[0]				)
              self.assertEqual(__A						,       ['''k s ɾ ɾ l ɭʲ''', '''j ð s j ð s oːɹ''']				)


       def 	_snake_case				(    self				)						->    str:
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=self.tokenizer_class.from_pretrained(
                  '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,       word_delimiter_token='''|'''				)
              tokenizer.add_tokens('''|'''				)

              SCREAMING_SNAKE_CASE_							:				Optional[int]		='''Hello how are you'''
              SCREAMING_SNAKE_CASE_							:				List[Any]		=tokenizer.phonemize(__A						,       phonemizer_lang='''en-us'''				)
              self.assertEqual(__A						,       '''h ə l oʊ | h aʊ | ɑːɹ | j uː |'''				)


       def 	_snake_case				(    self				)						->    Dict:
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=self.tokenizer_class.from_pretrained(
                  '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,       word_delimiter_token='''|'''				)
              tokenizer.add_tokens('''|'''				)

              SCREAMING_SNAKE_CASE_							:				Optional[int]		='''Hello how are you'''
              SCREAMING_SNAKE_CASE_							:				str		=tokenizer.phonemize(__A						,       phonemizer_lang='''en-us'''				)
              self.assertEqual(tokenizer(__A				).input_ids						,       tokenizer(__A						,       do_phonemize=__A				).input_ids				)


       def 	_snake_case				(    self				)						->    str:
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=self.tokenizer_class.from_pretrained(
                  '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,       word_delimiter_token='''|'''				)
              tokenizer.add_tokens('''|'''				)

              # fmt: off
              SCREAMING_SNAKE_CASE_							:				Tuple		=[
                  [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
              SCREAMING_SNAKE_CASE_							:				str		=tokenizer.decode(sample_ids[0]				)
              SCREAMING_SNAKE_CASE_							:				str		=tokenizer.batch_decode(__A				)
              self.assertEqual(__A						,       batch_tokens[0]				)
              self.assertEqual(__A						,       ['''k s ɾ ɾ l ɭʲ''', '''j ð s j ð s oːɹ''']				)

              # decode with no word_del_token filter
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=tokenizer.decode(sample_ids[0]						,       filter_word_delimiter_token=__A				)
              SCREAMING_SNAKE_CASE_							:				Dict		=tokenizer.batch_decode(__A						,       filter_word_delimiter_token=__A				)
              self.assertEqual(__A						,       batch_tokens[0]				)
              self.assertEqual(__A						,       ['''k s ɾ | ɾ l | ɭʲ''', '''| j ð | s j ð s oːɹ''']				)


       def 	_snake_case				(    self				)						->    Tuple:
              SCREAMING_SNAKE_CASE_							:				List[str]		=self.tokenizer_class.from_pretrained(
                  '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,       word_delimiter_token='''|'''				)
              tokenizer.add_tokens('''|'''				)

              SCREAMING_SNAKE_CASE_							:				List[str]		='''Hello how are you'''
              SCREAMING_SNAKE_CASE_							:				str		=tokenizer.phonemize(__A						,       phonemizer_lang='''en-us'''				)

              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=tokenizer.decode(tokenizer(__A				).input_ids						,       filter_word_delimiter_token=__A				)

              self.assertEqual(__A						,       __A				)


       def 	_snake_case				(    self				)						->    Any:
              SCREAMING_SNAKE_CASE_							:				List[Any]		=self.tokenizer_class.from_pretrained(
                  '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,       word_delimiter_token='''|'''				)
              tokenizer.add_tokens('''|'''				)

              SCREAMING_SNAKE_CASE_							:				Tuple		='''Hello how are you'''
              SCREAMING_SNAKE_CASE_							:				Dict		=tokenizer.phonemize(__A						,       phonemizer_lang='''en-us'''				)

              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=tokenizer.decode(tokenizer(__A				).input_ids						,       filter_word_delimiter_token=__A				)

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


       def 	_snake_case				(    self				)						->    Optional[Any]:
              SCREAMING_SNAKE_CASE_							:				Dict		=self.tokenizer_class.from_pretrained(
                  '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,       word_delimiter_token=__A				)
              SCREAMING_SNAKE_CASE_							:				int		='''Hello how are you'''

              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=tokenizer(__A						,       phonemizer_lang='''en-us'''				).input_ids
              SCREAMING_SNAKE_CASE_							:				List[str]		=tokenizer(__A						,       phonemizer_lang='''fr-fr'''				).input_ids

              self.assertNotEqual(__A						,       __A				)

              SCREAMING_SNAKE_CASE_							:				Tuple		=tokenizer.decode(__A				)
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=tokenizer.decode(__A				)

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


       def 	_snake_case				(    self				)						->    List[str]:
              SCREAMING_SNAKE_CASE_							:				Any		=self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''				)
              SCREAMING_SNAKE_CASE_							:				List[Any]		='''Hello how Are you'''
              SCREAMING_SNAKE_CASE_							:				int		='''hello how are you'''

              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=tokenizer(__A				).input_ids
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=tokenizer(__A				).input_ids

              self.assertEqual(__A						,       __A				)


       def 	_snake_case				(    self				)						->    Optional[int]:
              SCREAMING_SNAKE_CASE_							:				Tuple		=self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''				)
              tokenizer.add_tokens(['''!''', '''?''']				)
              tokenizer.add_special_tokens({'''cls_token''': '''$$$'''}				)

              # fmt: off
              SCREAMING_SNAKE_CASE_							:				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

              SCREAMING_SNAKE_CASE_							:				Tuple		=tokenizer.batch_decode(__A				)
              self.assertEqual(__A						,       ['''k s ɾ ɾ l ɭʲ!?!? $$$''', '''j ð s j ð s oːɹ $$$''']				)


       @staticmethod
       def 	_snake_case				(    __A						,       __A				)						->    Tuple:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=[d[key] for d in offsets]
              return retrieved_list


       def 	_snake_case				(    self				)						->    Optional[Any]:
              SCREAMING_SNAKE_CASE_							:				List[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"
              SCREAMING_SNAKE_CASE_							:				Dict		=[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

              SCREAMING_SNAKE_CASE_							:				Any		=tokenizer.decode(__A						,       output_char_offsets=__A						,       filter_word_delimiter_token=__A				)
              # 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(__A						,       __A				)				)

              # 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 	_snake_case				(    self				)						->    List[Any]:
              SCREAMING_SNAKE_CASE_							:				Dict		=self.get_tokenizer(word_delimiter_token='''|'''				)

              def check_list_tuples_equal(__A						,       __A				):
                     self.assertTrue(isinstance(__A						,       __A				)				)
                     self.assertTrue(isinstance(outputs_list[0]						,       __A				)				)

                     # transform list to ModelOutput
                     SCREAMING_SNAKE_CASE_							:				Any		=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(__A						,       __A				):
                            if isinstance(__A						,       __A				):
                                   [recursive_check(__A						,       __A				) for la, la in zip(__A						,       __A				)]
                            self.assertEqual(__A						,       __A				)

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

        # fmt: off
              SCREAMING_SNAKE_CASE_							:				Dict		=[
                  [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
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=tokenizer.batch_decode(__A						,       output_char_offsets=__A				)
              SCREAMING_SNAKE_CASE_							:				Tuple		=[tokenizer.decode(__A						,       output_char_offsets=__A				) for ids in sample_ids]
              check_list_tuples_equal(__A						,       __A				)


       @unittest.skip('''Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes'''				)
       def 	_snake_case				(    self				)						->    Tuple:
              pass


       @unittest.skip('''Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'''				)
       def 	_snake_case				(    self				)						->    str:
              pass


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


       @unittest.skip('''Wav2Vec2PhonemeModel has no max model length => no testing'''				)
       def 	_snake_case				(    self				)						->    Union[str, Any]:
              pass


       def 	_snake_case				(    self				)						->    int:
              SCREAMING_SNAKE_CASE_							:				Tuple		=self.get_tokenizers(do_lower_case=__A				)
              for tokenizer in tokenizers:
                     with self.subTest(F'{tokenizer.__class__.__name__}'				):
                            SCREAMING_SNAKE_CASE_							:				List[Any]		=tokenizer.vocab_size
                            SCREAMING_SNAKE_CASE_							:				List[str]		=len(__A				)

                            self.assertNotEqual(__A						,       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)

                            SCREAMING_SNAKE_CASE_							:				List[str]		=['''aaaaa bbbbbb''', '''cccccccccdddddddd''']
                            SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=tokenizer.add_tokens(__A				)
                            SCREAMING_SNAKE_CASE_							:				List[Any]		=tokenizer.vocab_size
                            SCREAMING_SNAKE_CASE_							:				Dict		=len(__A				)

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

                            SCREAMING_SNAKE_CASE_							:				Optional[Any]		=tokenizer.encode('''aaaaa bbbbbb low cccccccccdddddddd l'''						,       add_special_tokens=__A				)

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

                            SCREAMING_SNAKE_CASE_							:				List[Any]		={'''eos_token''': '''>>>>|||<||<<|<<''', '''pad_token''': '''<<<<<|||>|>>>>|>'''}
                            SCREAMING_SNAKE_CASE_							:				str		=tokenizer.add_special_tokens(__A				)
                            SCREAMING_SNAKE_CASE_							:				int		=tokenizer.vocab_size
                            SCREAMING_SNAKE_CASE_							:				Dict		=len(__A				)

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

                            SCREAMING_SNAKE_CASE_							:				List[Any]		=tokenizer.encode(
                                '''>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'''						,       add_special_tokens=__A				)

                            self.assertGreaterEqual(len(__A				)						,       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 	_snake_case				(    self				)						->    List[Any]:
              pass


       @unittest.skip('''The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'''				)
       def 	_snake_case				(    self				)						->    Optional[Any]:
              pass





       def 	_snake_case				(    self				)						->    List[str]:
              # The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
              # is not the case for Wav2Vec2PhonemeCTCTokenizer.
              SCREAMING_SNAKE_CASE_							:				Any		=self.get_tokenizers(fast=__A						,       do_lower_case=__A				)
              for tokenizer in tokenizers:
                     with self.subTest(F'{tokenizer.__class__.__name__}'				):
                            SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=['''ð''', '''ɪ''', '''s''', '''ɪ''', '''z''', '''ɐ''', '''t''', '''ɛ''', '''k''', '''s''', '''t''']
                            SCREAMING_SNAKE_CASE_							:				int		=tokenizer.convert_tokens_to_string(__A				)

                            self.assertIsInstance(output['''text''']						,       __A				)


import string

import numpy
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     int				)			->						int:
       return b if a == 0 else greatest_common_divisor(b % a			,							UpperCAmelCase_				)


class 			lowercase_		:
       __lowerCamelCase				       =						string.ascii_uppercase + string.digits
       # This cipher takes alphanumerics into account
       # i.e. a total of 36 characters

       # take x and return x % len(key_string)
       __lowerCamelCase				       =						numpy.vectorize(lambda A       : x % 3_6       )

       __lowerCamelCase				       =						numpy.vectorize(A       )


       def __init__(    self						,       __A				)						->    None:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=self.modulus(__A				)  # mod36 calc's on the encrypt key
              self.check_determinant()  # validate the determinant of the encryption key
              SCREAMING_SNAKE_CASE_							:				Dict		=encrypt_key.shape[0]


       def 	_snake_case				(    self						,       __A				)						->    int:
              return self.key_string.index(__A				)


       def 	_snake_case				(    self						,       __A				)						->    str:
              return self.key_string[round(__A				)]


       def 	_snake_case				(    self				)						->    None:
              SCREAMING_SNAKE_CASE_							:				List[str]		=round(numpy.linalg.det(self.encrypt_key				)				)

              if det < 0:
                     SCREAMING_SNAKE_CASE_							:				Optional[int]		=det % len(self.key_string				)

              SCREAMING_SNAKE_CASE_							:				List[Any]		=len(self.key_string				)
              if greatest_common_divisor(__A						,       len(self.key_string				)				) != 1:
                     SCREAMING_SNAKE_CASE_							:				Any		=(
                         F'determinant modular {req_l} of encryption key({det}) '
                         F'is not co prime w.r.t {req_l}.\nTry another key.'
                     )
                     raise ValueError(__A				)


       def 	_snake_case				(    self						,       __A				)						->    str:
              SCREAMING_SNAKE_CASE_							:				List[Any]		=[char for char in text.upper() if char in self.key_string]

              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=chars[-1]
              while len(__A				) % self.break_key != 0:
                     chars.append(__A				)

              return "".join(__A				)


       def 	_snake_case				(    self						,       __A				)						->    str:
              SCREAMING_SNAKE_CASE_							:				Dict		=self.process_text(text.upper()				)
              SCREAMING_SNAKE_CASE_							:				Dict		=''''''

              for i in range(0						,       len(__A				) - self.break_key + 1						,       self.break_key				):
                     SCREAMING_SNAKE_CASE_							:				Any		=text[i : i + self.break_key]
                     SCREAMING_SNAKE_CASE_							:				Optional[int]		=[self.replace_letters(__A				) for char in batch]
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=numpy.array([vec]				).T
                     SCREAMING_SNAKE_CASE_							:				List[str]		=self.modulus(self.encrypt_key.dot(__A				)				).T.tolist()[
                         0
                     ]
                     SCREAMING_SNAKE_CASE_							:				List[Any]		=''''''.join(
                         self.replace_digits(__A				) for num in batch_encrypted				)
                     encrypted += encrypted_batch

              return encrypted


       def 	_snake_case				(    self				)						->    numpy.ndarray:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=round(numpy.linalg.det(self.encrypt_key				)				)

              if det < 0:
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=det % len(self.key_string				)
              SCREAMING_SNAKE_CASE_							:				List[Any]		=None
              for i in range(len(self.key_string				)				):
                     if (det * i) % len(self.key_string				) == 1:
                            SCREAMING_SNAKE_CASE_							:				List[str]		=i
                            break

              SCREAMING_SNAKE_CASE_							:				List[str]		=(
                  det_inv
                  * numpy.linalg.det(self.encrypt_key				)
                  * numpy.linalg.inv(self.encrypt_key				)
              )

              return self.to_int(self.modulus(__A				)				)





       def 	_snake_case				(    self						,       __A				)						->    str:
              SCREAMING_SNAKE_CASE_							:				int		=self.make_decrypt_key()
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=self.process_text(text.upper()				)
              SCREAMING_SNAKE_CASE_							:				Any		=''''''

              for i in range(0						,       len(__A				) - self.break_key + 1						,       self.break_key				):
                     SCREAMING_SNAKE_CASE_							:				List[str]		=text[i : i + self.break_key]
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=[self.replace_letters(__A				) for char in batch]
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=numpy.array([vec]				).T
                     SCREAMING_SNAKE_CASE_							:				str		=self.modulus(decrypt_key.dot(__A				)				).T.tolist()[0]
                     SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=''''''.join(
                         self.replace_digits(__A				) for num in batch_decrypted				)
                     decrypted += decrypted_batch

              return decrypted






def 							SCREAMING_SNAKE_CASE_	(					)			->						None:
       SCREAMING_SNAKE_CASE_							:				List[str]		=int(input('''Enter the order of the encryption key: '''				)				)
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=[]

       print('''Enter each row of the encryption key with space separated integers'''				)
       for _ in range(UpperCAmelCase_				):
              SCREAMING_SNAKE_CASE_							:				Tuple		=[int(UpperCAmelCase_				) for x in input().split()]
              hill_matrix.append(UpperCAmelCase_				)

       SCREAMING_SNAKE_CASE_							:				Optional[int]		=HillCipher(numpy.array(UpperCAmelCase_				)				)

       print('''Would you like to encrypt or decrypt some text? (1 or 2)'''				)
       SCREAMING_SNAKE_CASE_							:				Dict		=input('''\n1. Encrypt\n2. Decrypt\n'''				)
       if option == "1":
              SCREAMING_SNAKE_CASE_							:				List[Any]		=input('''What text would you like to encrypt?: '''				)
              print('''Your encrypted text is:'''				)
              print(hc.encrypt(UpperCAmelCase_				)				)
       elif option == "2":
              SCREAMING_SNAKE_CASE_							:				Any		=input('''What text would you like to decrypt?: '''				)
              print('''Your decrypted text is:'''				)
              print(hc.decrypt(UpperCAmelCase_				)				)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 main()
