




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     __lowerCAmelCase (       __magic_name__			,				unittest.TestCase ):

			"""simple docstring"""







			snake_case_   		=       WavaVecaPhonemeCTCTokenizer
			snake_case_   		=       False


			def       lowercase_    (      self							)    ->      Dict:



							'''simple docstring'''
							super().setUp()

							__lowerCamelCase		       =    (
							    '<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		       =    dict(zip(lowerCamelCase__			,						range(len(lowerCamelCase__							)							)							)							)

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

							__lowerCamelCase		       =    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       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__=False			,						lowerCamelCase__=20			,						lowerCamelCase__=5							)    ->      Tuple[str, list]:



							'''simple docstring'''
							__lowerCamelCase		       =    [(i, tokenizer.decode([i]			,						clean_up_tokenization_spaces=lowerCamelCase__							)) for i in range(len(lowerCamelCase__							)							)]
							__lowerCamelCase		       =    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:
											__lowerCamelCase		       =    toks[:max_length]
							if min_length is not None and len(lowerCamelCase__							) < min_length and len(lowerCamelCase__							) > 0:
											while len(lowerCamelCase__							) < min_length:
															__lowerCamelCase		       =    toks + toks
        # toks_str = [t[1] for t in toks]
							__lowerCamelCase		       =    [t[0] for t in toks]

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


			def       lowercase_    (      self			,						**lowerCamelCase__							)    ->      Any:



							'''simple docstring'''
							kwargs.update(self.special_tokens_map							)
							return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname			,						**lowerCamelCase__							)


			def       lowercase_    (      self							)    ->      Tuple:



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'							)

							# check adding a single token
							tokenizer.add_tokens('xxx'							)
							__lowerCamelCase		       =    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']							)
							__lowerCamelCase		       =    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

							__lowerCamelCase		       =    tokenizer('maɪ c'			,						do_phonemize=lowerCamelCase__							).input_ids
							self.assertEqual(lowerCamelCase__			,						[3, 200]							)  # mai should be <unk> (=3)


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



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'							)

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


			def       lowercase_    (      self							)    ->      int:



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'							)

							__lowerCamelCase		       =    'Hello how are you'
							__lowerCamelCase		       =    tokenizer.phonemize(lowerCamelCase__			,						phonemizer_lang='en-us'							)
							self.assertEqual(tokenizer(lowerCamelCase__							).input_ids			,						tokenizer(lowerCamelCase__			,						do_phonemize=lowerCamelCase__							).input_ids							)


			def       lowercase_    (      self							)    ->      int:



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'							)
							__lowerCamelCase		       =    'Hello how are you'
							__lowerCamelCase		       =    tokenizer.phonemize(lowerCamelCase__			,						phonemizer_lang='en-us'							)

							__lowerCamelCase		       =    tokenizer.decode(tokenizer(lowerCamelCase__							).input_ids							)

							self.assertEqual(lowerCamelCase__			,						lowerCamelCase__							)


			def       lowercase_    (      self							)    ->      List[Any]:



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'							)

							__lowerCamelCase		       =    [
							    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
							    [24, 22, 5, 24, 22, 5, 77],
							]
							__lowerCamelCase		       =    tokenizer.decode(sample_ids[0]							)
							__lowerCamelCase		       =    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       lowercase_    (      self							)    ->      Tuple:



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained(
							    'facebook/wav2vec2-lv-60-espeak-cv-ft'			,						word_delimiter_token='|'							)
							tokenizer.add_tokens('|'							)

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


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



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained(
							    'facebook/wav2vec2-lv-60-espeak-cv-ft'			,						word_delimiter_token='|'							)
							tokenizer.add_tokens('|'							)

							__lowerCamelCase		       =    'Hello how are you'
							__lowerCamelCase		       =    tokenizer.phonemize(lowerCamelCase__			,						phonemizer_lang='en-us'							)
							self.assertEqual(tokenizer(lowerCamelCase__							).input_ids			,						tokenizer(lowerCamelCase__			,						do_phonemize=lowerCamelCase__							).input_ids							)


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



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained(
							    'facebook/wav2vec2-lv-60-espeak-cv-ft'			,						word_delimiter_token='|'							)
							tokenizer.add_tokens('|'							)

							# fmt: off
							__lowerCamelCase		       =    [
							    [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		       =    tokenizer.decode(sample_ids[0]							)
							__lowerCamelCase		       =    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
							__lowerCamelCase		       =    tokenizer.decode(sample_ids[0]			,						filter_word_delimiter_token=lowerCamelCase__							)
							__lowerCamelCase		       =    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       lowercase_    (      self							)    ->      Any:



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained(
							    'facebook/wav2vec2-lv-60-espeak-cv-ft'			,						word_delimiter_token='|'							)
							tokenizer.add_tokens('|'							)

							__lowerCamelCase		       =    'Hello how are you'
							__lowerCamelCase		       =    tokenizer.phonemize(lowerCamelCase__			,						phonemizer_lang='en-us'							)

							__lowerCamelCase		       =    tokenizer.decode(tokenizer(lowerCamelCase__							).input_ids			,						filter_word_delimiter_token=lowerCamelCase__							)

							self.assertEqual(lowerCamelCase__			,						lowerCamelCase__							)


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



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained(
							    'facebook/wav2vec2-lv-60-espeak-cv-ft'			,						word_delimiter_token='|'							)
							tokenizer.add_tokens('|'							)

							__lowerCamelCase		       =    'Hello how are you'
							__lowerCamelCase		       =    tokenizer.phonemize(lowerCamelCase__			,						phonemizer_lang='en-us'							)

							__lowerCamelCase		       =    tokenizer.decode(tokenizer(lowerCamelCase__							).input_ids			,						filter_word_delimiter_token=lowerCamelCase__							)

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


			def       lowercase_    (      self							)    ->      Any:



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained(
							    'facebook/wav2vec2-lv-60-espeak-cv-ft'			,						word_delimiter_token=lowerCamelCase__							)
							__lowerCamelCase		       =    'Hello how are you'

							__lowerCamelCase		       =    tokenizer(lowerCamelCase__			,						phonemizer_lang='en-us'							).input_ids
							__lowerCamelCase		       =    tokenizer(lowerCamelCase__			,						phonemizer_lang='fr-fr'							).input_ids

							self.assertNotEqual(lowerCamelCase__			,						lowerCamelCase__							)

							__lowerCamelCase		       =    tokenizer.decode(lowerCamelCase__							)
							__lowerCamelCase		       =    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       lowercase_    (      self							)    ->      int:



							'''simple docstring'''
							__lowerCamelCase		       =    self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'							)
							__lowerCamelCase		       =    'Hello how Are you'
							__lowerCamelCase		       =    'hello how are you'

							__lowerCamelCase		       =    tokenizer(lowerCamelCase__							).input_ids
							__lowerCamelCase		       =    tokenizer(lowerCamelCase__							).input_ids

							self.assertEqual(lowerCamelCase__			,						lowerCamelCase__							)


			def       lowercase_    (      self							)    ->      Tuple:



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

							# fmt: off
							__lowerCamelCase		       =    [
							    [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		       =    tokenizer.batch_decode(lowerCamelCase__							)
							self.assertEqual(lowerCamelCase__			,						['k s ɾ ɾ l ɭʲ!?!? $$$', 'j ð s j ð s oːɹ $$$']							)


			@staticmethod
			def       lowercase_    (      lowerCamelCase__			,						lowerCamelCase__							)    ->      str:



							'''simple docstring'''
							__lowerCamelCase		       =    [d[key] for d in offsets]
							return retrieved_list


			def       lowercase_    (      self							)    ->      List[Any]:



							'''simple docstring'''
							__lowerCamelCase		       =    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		       =    [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		       =    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       lowercase_    (      self							)    ->      List[Any]:



							'''simple docstring'''
							__lowerCamelCase		       =    self.get_tokenizer(word_delimiter_token='|'							)

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

											# transform list to ModelOutput
											__lowerCamelCase		       =    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__			,						lowerCamelCase__							):
															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
							__lowerCamelCase		       =    [
							    [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		       =    tokenizer.batch_decode(lowerCamelCase__			,						output_char_offsets=lowerCamelCase__							)
							__lowerCamelCase		       =    [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       lowercase_    (      self							)    ->      Tuple:



							'''simple docstring'''
							pass


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



							'''simple docstring'''
							pass


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



							'''simple docstring'''
							pass


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



							'''simple docstring'''
							pass


			def       lowercase_    (      self							)    ->      Any:



							'''simple docstring'''
							__lowerCamelCase		       =    self.get_tokenizers(do_lower_case=lowerCamelCase__							)
							for tokenizer in tokenizers:
											with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
															__lowerCamelCase		       =    tokenizer.vocab_size
															__lowerCamelCase		       =    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)

															__lowerCamelCase		       =    ['aaaaa bbbbbb', 'cccccccccdddddddd']
															__lowerCamelCase		       =    tokenizer.add_tokens(lowerCamelCase__							)
															__lowerCamelCase		       =    tokenizer.vocab_size
															__lowerCamelCase		       =    len(lowerCamelCase__							)

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

															__lowerCamelCase		       =    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							)

															__lowerCamelCase		       =    {'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
															__lowerCamelCase		       =    tokenizer.add_special_tokens(lowerCamelCase__							)
															__lowerCamelCase		       =    tokenizer.vocab_size
															__lowerCamelCase		       =    len(lowerCamelCase__							)

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

															__lowerCamelCase		       =    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       lowercase_    (      self							)    ->      Tuple:



							'''simple docstring'''
							pass


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



							'''simple docstring'''
							pass






			def       lowercase_    (      self							)    ->      int:



							'''simple docstring'''
							# The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
							# is not the case for Wav2Vec2PhonemeCTCTokenizer.
							__lowerCamelCase		       =    self.get_tokenizers(fast=lowerCamelCase__			,						do_lower_case=lowerCamelCase__							)
							for tokenizer in tokenizers:
											with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
															__lowerCamelCase		       =    ['ð', 'ɪ', 's', 'ɪ', 'z', 'ɐ', 't', 'ɛ', 'k', 's', 't']
															__lowerCamelCase		       =    tokenizer.convert_tokens_to_string(lowerCamelCase__							)

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






'''simple docstring'''


import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCamelCase__					=   logging.get_logger(__name__)

lowerCamelCase__					=   {'vocab_file': 'sentencepiece.bpe.model'}

lowerCamelCase__					=   {
    'vocab_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'
        ),
    },
}

lowerCamelCase__					=   {
    'moussaKam/mbarthez': 1_024,
    'moussaKam/barthez': 1_024,
    'moussaKam/barthez-orangesum-title': 1_024,
}

lowerCamelCase__					=   '▁'






class 		lowerCAmelCase__	(	UpperCAmelCase__		):
			lowerCAmelCase       :		Any				      =   VOCAB_FILES_NAMES
			lowerCAmelCase       :		Any				      =   PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase       :		Union[str, Any]				      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase       :		int				      =   ["input_ids", "attention_mask"]




			def __init__(						self     :   int		,     lowerCamelCase__     :   Tuple		,     lowerCamelCase__     :   List[Any]="<s>"		,     lowerCamelCase__     :   Dict="</s>"		,     lowerCamelCase__     :   Union[str, Any]="</s>"		,     lowerCamelCase__     :   List[Any]="<s>"		,     lowerCamelCase__     :   List[str]="<unk>"		,     lowerCamelCase__     :   str="<pad>"		,     lowerCamelCase__     :   Tuple="<mask>"		,     lowerCamelCase__     :   Optional[Dict[str, Any]] = None		,     **lowerCamelCase__     :   Dict		,     )      ->None:



					'''simple docstring'''







					_UpperCAmelCase						:				Dict	    =					AddedToken(lowerCamelCase__		,     lstrip=lowerCamelCase__		,     rstrip=lowerCamelCase__       ) if isinstance(lowerCamelCase__		,     lowerCamelCase__       ) else mask_token

					_UpperCAmelCase						:				Any	    =					{} if sp_model_kwargs is None else sp_model_kwargs

					super().__init__(
					    bos_token=lowerCamelCase__		,     eos_token=lowerCamelCase__		,     unk_token=lowerCamelCase__		,     sep_token=lowerCamelCase__		,     cls_token=lowerCamelCase__		,     pad_token=lowerCamelCase__		,     mask_token=lowerCamelCase__		,     sp_model_kwargs=self.sp_model_kwargs		,     **lowerCamelCase__		,     )

					_UpperCAmelCase						:				Union[str, Any]	    =					vocab_file
					_UpperCAmelCase						:				Dict	    =					spm.SentencePieceProcessor(**self.sp_model_kwargs       )
					self.sp_model.Load(str(lowerCamelCase__       )       )

					_UpperCAmelCase						:				Optional[int]	    =					{"<s>": 0, "<pad>": 1, "</s>": 2, "<unk>": 3}

					_UpperCAmelCase						:				List[str]	    =					len(self.sp_model       ) - 1
					_UpperCAmelCase						:				List[str]	    =					{v: k for k, v in self.fairseq_tokens_to_ids.items()}




			def 							lowerCAmelCase__			(						self     :   Dict		,     lowerCamelCase__     :   List[int]		,     lowerCamelCase__     :   Optional[List[int]] = None       )      ->List[int]:



					'''simple docstring'''







					if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					_UpperCAmelCase						:				Union[str, Any]	    =					[self.cls_token_id]
					_UpperCAmelCase						:				str	    =					[self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep




			def 							lowerCAmelCase__			(						self     :   int		,     lowerCamelCase__     :   List[int]		,     lowerCamelCase__     :   Optional[List[int]] = None		,     lowerCamelCase__     :   bool = False       )      ->List[int]:



					'''simple docstring'''







					if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=lowerCamelCase__		,     token_ids_a=lowerCamelCase__		,     already_has_special_tokens=lowerCamelCase__       )

					if token_ids_a is None:
							return [1] + ([0] * len(lowerCamelCase__       )) + [1]
					return [1] + ([0] * len(lowerCamelCase__       )) + [1, 1] + ([0] * len(lowerCamelCase__       )) + [1]




			def 							lowerCAmelCase__			(						self     :   List[str]		,     lowerCamelCase__     :   List[int]		,     lowerCamelCase__     :   Optional[List[int]] = None       )      ->List[int]:



					'''simple docstring'''







					_UpperCAmelCase						:				Optional[int]	    =					[self.sep_token_id]
					_UpperCAmelCase						:				Optional[int]	    =					[self.cls_token_id]

					if token_ids_a is None:
							return len(cls + token_ids_a + sep       ) * [0]
					return len(cls + token_ids_a + sep + sep + token_ids_a + sep       ) * [0]




			@property
			def 							lowerCAmelCase__			(						self     :   List[Any]       )      ->List[str]:



					'''simple docstring'''







					return len(self.sp_model       )




			def 							lowerCAmelCase__			(						self     :   int       )      ->int:



					'''simple docstring'''







					_UpperCAmelCase						:				List[Any]	    =					{self.convert_ids_to_tokens(lowerCamelCase__       ): i for i in range(self.vocab_size       )}
					vocab.update(self.added_tokens_encoder       )
					return vocab




			def 							lowerCAmelCase__			(						self     :   int		,     lowerCamelCase__     :   str       )      ->List[str]:



					'''simple docstring'''







					return self.sp_model.encode(lowerCamelCase__		,     out_type=lowerCamelCase__       )




			def 							lowerCAmelCase__			(						self     :   Dict		,     lowerCamelCase__     :   Union[str, Any]       )      ->List[Any]:



					'''simple docstring'''







					if token in self.fairseq_tokens_to_ids:
							return self.fairseq_tokens_to_ids[token]
					_UpperCAmelCase						:				Optional[Any]	    =					self.sp_model.PieceToId(lowerCamelCase__       )

					return spm_id if spm_id else self.unk_token_id




			def 							lowerCAmelCase__			(						self     :   str		,     lowerCamelCase__     :   Any       )      ->Optional[Any]:



					'''simple docstring'''







					if index in self.fairseq_ids_to_tokens:
							return self.fairseq_ids_to_tokens[index]
					return self.sp_model.IdToPiece(lowerCamelCase__       )




			def 							lowerCAmelCase__			(						self     :   Any		,     lowerCamelCase__     :   List[Any]       )      ->Optional[int]:



					'''simple docstring'''







					_UpperCAmelCase						:				Union[str, Any]	    =					[]
					_UpperCAmelCase						:				Optional[Any]	    =					""
					_UpperCAmelCase						:				Optional[int]	    =					False
					for token in tokens:
							# make sure that special tokens are not decoded using sentencepiece model
							if token in self.all_special_tokens:
									if not prev_is_special:
											out_string += " "
									out_string += self.sp_model.decode(lowerCamelCase__       ) + token
									_UpperCAmelCase						:				Union[str, Any]	    =					True
									_UpperCAmelCase						:				Union[str, Any]	    =					[]
							else:
									current_sub_tokens.append(lowerCamelCase__       )
									_UpperCAmelCase						:				int	    =					False
					out_string += self.sp_model.decode(lowerCamelCase__       )
					return out_string.strip()




			def __getstate__(						self     :   Dict       )      ->List[Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[str]	    =					self.__dict__.copy()
					_UpperCAmelCase						:				Optional[int]	    =					None
					return state




			def __setstate__(						self     :   Any		,     lowerCamelCase__     :   Dict       )      ->Tuple:



					'''simple docstring'''







					_UpperCAmelCase						:				Dict	    =					d

					# for backward compatibility
					if not hasattr(self		,     "sp_model_kwargs"       ):
							_UpperCAmelCase						:				List[Any]	    =					{}

					_UpperCAmelCase						:				Optional[int]	    =					spm.SentencePieceProcessor(**self.sp_model_kwargs       )
					self.sp_model.Load(self.vocab_file       )






			def 							lowerCAmelCase__			(						self     :   Optional[Any]		,     lowerCamelCase__     :   str		,     lowerCamelCase__     :   Optional[str] = None       )      ->Tuple[str]:



					'''simple docstring'''







					if not os.path.isdir(lowerCamelCase__       ):
							logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""       )
							return
					_UpperCAmelCase						:				Union[str, Any]	    =					os.path.join(
					    lowerCamelCase__		,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]       )

					if os.path.abspath(self.vocab_file       ) != os.path.abspath(lowerCamelCase__       ) and os.path.isfile(self.vocab_file       ):
							copyfile(self.vocab_file		,     lowerCamelCase__       )
					elif not os.path.isfile(self.vocab_file       ):
							with open(lowerCamelCase__		,     "wb"       ) as fi:
									_UpperCAmelCase						:				Dict	    =					self.sp_model.serialized_model_proto()
									fi.write(lowerCamelCase__       )

					return (out_vocab_file,)



