'''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 					__SCREAMING_SNAKE_CASE						(	lowerCamelCase_						,     unittest.TestCase	):







  '''simple docstring'''






  lowerCamelCase_		:List[Any]						   =		WavaVecaPhonemeCTCTokenizer
  lowerCamelCase_		:Dict						   =		False


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       super().setUp()

       UpperCAmelCase_							:       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(' '						)
       UpperCAmelCase_							:       str       =				dict(zip(snake_case_				,		range(len(snake_case_						)						)						)						)

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

       UpperCAmelCase_							:       int       =				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				,		snake_case_				,		snake_case_=False				,		snake_case_=2_0				,		snake_case_=5						):




       '''simple docstring'''

       UpperCAmelCase_							:       Optional[Any]       =				[(i, tokenizer.decode([i]				,		clean_up_tokenization_spaces=snake_case_						)) for i in range(len(snake_case_						)						)]
       UpperCAmelCase_							:       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:
            UpperCAmelCase_							:       Optional[Any]       =				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:
                 UpperCAmelCase_							:       Dict       =				toks + toks
        # toks_str = [t[1] for t in toks]
       UpperCAmelCase_							:       Optional[Any]       =				[t[0] for t in toks]

       # Ensure consistency
       UpperCAmelCase_							:       Any       =				tokenizer.decode(snake_case_				,		clean_up_tokenization_spaces=snake_case_						)
       if " " not in output_txt and len(snake_case_						) > 1:
            UpperCAmelCase_							:       List[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:
            UpperCAmelCase_							:       int       =				' ' + output_txt
       UpperCAmelCase_							:       str       =				tokenizer.encode(snake_case_				,		add_special_tokens=snake_case_						)
       return output_txt, output_ids


  def _UpperCamelCase					(			self				,		**snake_case_						):




       '''simple docstring'''

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


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       List[str]       =				self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'						)

       # check adding a single token
       tokenizer.add_tokens('xxx'						)
       UpperCAmelCase_							:       Optional[int]       =				tokenizer('m xxx ɪ'				,		do_phonemize=snake_case_						).input_ids
       self.assertEqual(snake_case_				,		[1_3, 3_9_2, 1_7]						)  # xxx should be last token

       tokenizer.add_tokens(['aaa', 'bbb', 'ccc']						)
       UpperCAmelCase_							:       Optional[int]       =				tokenizer('m aaa ɪ ccc'				,		do_phonemize=snake_case_						).input_ids
       self.assertEqual(snake_case_				,		[1_3, 3_9_3, 1_7, 3_9_5]						)  # aaa and ccc should be after xxx and 2 after aaa

       UpperCAmelCase_							:       str       =				tokenizer('maɪ c'				,		do_phonemize=snake_case_						).input_ids
       self.assertEqual(snake_case_				,		[3, 2_0_0]						)  # mai should be <unk> (=3)


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       int       =				self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'						)

       UpperCAmelCase_							:       str       =				'Hello how are you'
       UpperCAmelCase_							:       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						):




       '''simple docstring'''

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

       UpperCAmelCase_							:       Any       =				'Hello how are you'
       UpperCAmelCase_							:       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						):




       '''simple docstring'''

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

       UpperCAmelCase_							:       List[Any]       =				tokenizer.decode(tokenizer(snake_case_						).input_ids						)

       self.assertEqual(snake_case_				,		snake_case_						)


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Optional[int]       =				self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'						)

       UpperCAmelCase_							:       str       =				[
           [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 8, 9_8],
           [2_4, 2_2, 5, 2_4, 2_2, 5, 7_7],
       ]
       UpperCAmelCase_							:       List[Any]       =				tokenizer.decode(sample_ids[0]						)
       UpperCAmelCase_							:       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']						)


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       int       =				self.tokenizer_class.from_pretrained(
           'facebook/wav2vec2-lv-60-espeak-cv-ft'				,		word_delimiter_token='|'						)
       tokenizer.add_tokens('|'						)

       UpperCAmelCase_							:       Optional[int]       =				'Hello how are you'
       UpperCAmelCase_							:       Optional[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						):




       '''simple docstring'''

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

       UpperCAmelCase_							:       List[Any]       =				'Hello how are you'
       UpperCAmelCase_							:       List[Any]       =				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						):




       '''simple docstring'''

       UpperCAmelCase_							:       int       =				self.tokenizer_class.from_pretrained(
           'facebook/wav2vec2-lv-60-espeak-cv-ft'				,		word_delimiter_token='|'						)
       tokenizer.add_tokens('|'						)

       # fmt: off
       UpperCAmelCase_							:       Tuple       =				[
           [1_1, 5, 1_5, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 1_5, 8, tokenizer.word_delimiter_token_id, 9_8],
           [tokenizer.word_delimiter_token_id, 2_4, 2_2, tokenizer.word_delimiter_token_id, 5, 2_4, 2_2, 5, 7_7],
       ]
       # fmt: on

       # decode with word_del_token filter
       UpperCAmelCase_							:       Optional[Any]       =				tokenizer.decode(sample_ids[0]						)
       UpperCAmelCase_							:       List[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']						)

       # decode with no word_del_token filter
       UpperCAmelCase_							:       Tuple       =				tokenizer.decode(sample_ids[0]				,		filter_word_delimiter_token=snake_case_						)
       UpperCAmelCase_							:       Tuple       =				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						):




       '''simple docstring'''

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

       UpperCAmelCase_							:       List[Any]       =				'Hello how are you'
       UpperCAmelCase_							:       int       =				tokenizer.phonemize(snake_case_				,		phonemizer_lang='en-us'						)

       UpperCAmelCase_							:       Optional[Any]       =				tokenizer.decode(tokenizer(snake_case_						).input_ids				,		filter_word_delimiter_token=snake_case_						)

       self.assertEqual(snake_case_				,		snake_case_						)


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

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

       UpperCAmelCase_							:       str       =				'Hello how are you'
       UpperCAmelCase_							:       Any       =				tokenizer.phonemize(snake_case_				,		phonemizer_lang='en-us'						)

       UpperCAmelCase_							:       Optional[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						):




       '''simple docstring'''

       UpperCAmelCase_							:       List[str]       =				self.tokenizer_class.from_pretrained(
           'facebook/wav2vec2-lv-60-espeak-cv-ft'				,		word_delimiter_token=snake_case_						)
       UpperCAmelCase_							:       int       =				'Hello how are you'

       UpperCAmelCase_							:       Tuple       =				tokenizer(snake_case_				,		phonemizer_lang='en-us'						).input_ids
       UpperCAmelCase_							:       Dict       =				tokenizer(snake_case_				,		phonemizer_lang='fr-fr'						).input_ids

       self.assertNotEqual(snake_case_				,		snake_case_						)

       UpperCAmelCase_							:       Dict       =				tokenizer.decode(snake_case_						)
       UpperCAmelCase_							:       Optional[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						):




       '''simple docstring'''

       UpperCAmelCase_							:       Union[str, Any]       =				self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'						)
       UpperCAmelCase_							:       Optional[int]       =				'Hello how Are you'
       UpperCAmelCase_							:       str       =				'hello how are you'

       UpperCAmelCase_							:       Optional[Any]       =				tokenizer(snake_case_						).input_ids
       UpperCAmelCase_							:       List[str]       =				tokenizer(snake_case_						).input_ids

       self.assertEqual(snake_case_				,		snake_case_						)


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

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

       # fmt: off
       UpperCAmelCase_							:       List[Any]       =				[
           [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 8, 9_8, 3_9_2, 3_9_2, 3_9_3, 3_9_2, 3_9_2, 3_9_3, 3_9_4, 3_9_4],
           [2_4, 2_2, 5, 2_4, 2_2, 5, 7_7, tokenizer.pad_token_id, 3_9_4, 3_9_4],
       ]
       # fmt: on

       UpperCAmelCase_							:       Tuple       =				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_				,		snake_case_						):




       '''simple docstring'''

       UpperCAmelCase_							:       List[str]       =				[d[key] for d in offsets]
       return retrieved_list


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Union[str, 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"
       UpperCAmelCase_							:       Optional[int]       =				[1_1, 5, 5, 5, 1_5, 1_5, tokenizer.pad_token_id, 1_5, 1_5, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 1_5, 8, 8, 8, tokenizer.word_delimiter_token_id, 9_8]
       # fmt: on

       UpperCAmelCase_							:       List[Any]       =				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, 1_1, 1_2, 1_5, 1_6]						)
       self.assertListEqual(
           self.get_from_offsets(outputs['char_offsets']				,		'end_offset'						)				,		[1, 4, 6, 9, 1_0, 1_2, 1_5, 1_6, 1_7]						)


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Optional[Any]       =				self.get_tokenizer(word_delimiter_token='|'						)

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

            # transform list to ModelOutput
            UpperCAmelCase_							:       str       =				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_				,		snake_case_						):
                 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
       UpperCAmelCase_							:       Any       =				[
           [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 4, 8, 9_8, 3_2, 3_2, 3_2, 3_2, 4, 3_3, tokenizer.word_delimiter_token_id, 3_2, 3_2, 3_3, 3_4, 3_4],
           [2_4, 2_2, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 2_4, 2_2, 2_2, 2_2, 4, 5, 7_7, tokenizer.pad_token_id, 2_2, 2_2, 4, 3_4, 3_4, 3_4, 3_4],
       ]
       # 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_							:       List[Any]       =				tokenizer.batch_decode(snake_case_				,		output_char_offsets=snake_case_						)
       UpperCAmelCase_							:       Tuple       =				[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						):




       '''simple docstring'''

       pass


  @unittest.skip('Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'						)
  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       pass


  @unittest.skip('encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency'						)
  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       pass


  @unittest.skip('Wav2Vec2PhonemeModel has no max model length => no testing'						)
  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       pass


  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       UpperCAmelCase_							:       Tuple       =				self.get_tokenizers(do_lower_case=snake_case_						)
       for tokenizer in tokenizers:
            with self.subTest(F'''{tokenizer.__class__.__name__}'''						):
                 UpperCAmelCase_							:       List[Any]       =				tokenizer.vocab_size
                 UpperCAmelCase_							:       List[Any]       =				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)

                 UpperCAmelCase_							:       Dict       =				['aaaaa bbbbbb', 'cccccccccdddddddd']
                 UpperCAmelCase_							:       Any       =				tokenizer.add_tokens(snake_case_						)
                 UpperCAmelCase_							:       List[Any]       =				tokenizer.vocab_size
                 UpperCAmelCase_							:       List[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_						)						)

                 UpperCAmelCase_							:       Tuple       =				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						)

                 UpperCAmelCase_							:       Optional[Any]       =				{'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
                 UpperCAmelCase_							:       int       =				tokenizer.add_special_tokens(snake_case_						)
                 UpperCAmelCase_							:       Dict       =				tokenizer.vocab_size
                 UpperCAmelCase_							:       Tuple       =				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_						)						)

                 UpperCAmelCase_							:       Tuple       =				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						):




       '''simple docstring'''

       pass


  @unittest.skip('The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'						)
  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       pass






  def _UpperCamelCase					(			self						):




       '''simple docstring'''

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

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







'''simple docstring'''


snake_case__					:      Optional[Any]				      =  tuple[float, float, float]
snake_case__					:      Tuple				      =  tuple[float, float, float]


def  _lowerCamelCase   (				lowerCamelCase_ :							Pointad     ,					lowerCamelCase_ :							Pointad       ):



     """simple docstring"""





     UpperCAmelCase_							:       Any       =				end_pointa[0] - end_pointa[0]
     UpperCAmelCase_							:       Optional[Any]       =				end_pointa[1] - end_pointa[1]
     UpperCAmelCase_							:       Any       =				end_pointa[2] - end_pointa[2]
     return (x, y, z)


def  _lowerCamelCase   (				lowerCamelCase_ :							Vectorad     ,					lowerCamelCase_ :							Vectorad       ):



     """simple docstring"""





     UpperCAmelCase_							:       Optional[Any]       =				ab[1] * ac[2] - ab[2] * ac[1]  # *i
     UpperCAmelCase_							:       Optional[Any]       =				(ab[0] * ac[2] - ab[2] * ac[0]) * -1  # *j
     UpperCAmelCase_							:       Dict       =				ab[0] * ac[1] - ab[1] * ac[0]  # *k
     return (x, y, z)


def  _lowerCamelCase   (				lowerCamelCase_ :							Vectorad     ,					lowerCamelCase_ :							int       ):



     """simple docstring"""





     return tuple(round(lowerCamelCase_     ,					lowerCamelCase_       ) for x in vector       ) == (0, 0, 0)





def  _lowerCamelCase   (				lowerCamelCase_ :							Pointad     ,					lowerCamelCase_ :							Pointad     ,					lowerCamelCase_ :							Pointad     ,					lowerCamelCase_ :							int = 10       ):



     """simple docstring"""





     UpperCAmelCase_							:       List[str]       =				create_vector(lowerCamelCase_     ,					lowerCamelCase_       )
     UpperCAmelCase_							:       List[Any]       =				create_vector(lowerCamelCase_     ,					lowerCamelCase_       )
     return is_zero_vector(get_ad_vectors_cross(lowerCamelCase_     ,					lowerCamelCase_       )     ,					lowerCamelCase_       )






