





import json
import os
import unittest
from typing import Tuple

from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizerOutput
from transformers.testing_utils import require_phonemizer

from ...test_tokenization_common import TokenizerTesterMixin






@require_phonemizer
class 					__A    (    lowerCAmelCase			,				unittest.TestCase ):

			'''simple docstring'''







			lowerCAmelCase_							     =						WavaVecaPhonemeCTCTokenizer
			lowerCAmelCase_							     =						False





			def 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase=False       ,  __lowerCAmelCase=2_0       ,  __lowerCAmelCase=5							):



				'''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 		__lowerCamelCase				(    self       ,  **__lowerCAmelCase							):



				'''simple docstring'''







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





			def 		__lowerCamelCase				(    self							):



				'''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       ,  [1_3, 3_9_2, 1_7]							)  # 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       ,  [1_3, 3_9_3, 1_7, 3_9_5]							)  # aaa and ccc should be after xxx and 2 after aaa

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





			def 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







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

				lowerCamelCase__								=		[
				    [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],
				]
				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 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







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

				# fmt: off
				lowerCamelCase__								=		[
				    [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
				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 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''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__								=		[
				    [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

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





			@staticmethod
			def 		__lowerCamelCase				(    __lowerCAmelCase       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		[d[key] for d in offsets]
				return retrieved_list





			def 		__lowerCamelCase				(    self							):



				'''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__								=		[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

				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, 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 		__lowerCamelCase				(    self							):



				'''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__								=		[
				    [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
				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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				pass





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



				'''simple docstring'''







				pass





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



				'''simple docstring'''







				pass





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



				'''simple docstring'''







				pass





			def 		__lowerCamelCase				(    self							):



				'''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 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				pass





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



				'''simple docstring'''







				pass





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				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							)










import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


_a 						=      logging.get_logger(__name__)

_a 						=      "▁"

_a 						=      {
    "vocab_file": "vocab.json",
    "spm_file": "sentencepiece.bpe.model",
    "tokenizer_config_file": "tokenizer_config.json",
}

_a 						=      {
    "vocab_file": {
        "facebook/m2m100_418M": "https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json",
        "facebook/m2m100_1.2B": "https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json",
    },
    "spm_file": {
        "facebook/m2m100_418M": "https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model",
        "facebook/m2m100_1.2B": "https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_config_file": {
        "facebook/m2m100_418M": "https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json",
        "facebook/m2m100_1.2B": "https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json",
    },
}

_a 						=      {
    "facebook/m2m100_418M": 1_024,
}

# fmt: off
_a 						=      {
    "m2m100": ["af", "am", "ar", "ast", "az", "ba", "be", "bg", "bn", "br", "bs", "ca", "ceb", "cs", "cy", "da", "de", "el", "en", "es", "et", "fa", "ff", "fi", "fr", "fy", "ga", "gd", "gl", "gu", "ha", "he", "hi", "hr", "ht", "hu", "hy", "id", "ig", "ilo", "is", "it", "ja", "jv", "ka", "kk", "km", "kn", "ko", "lb", "lg", "ln", "lo", "lt", "lv", "mg", "mk", "ml", "mn", "mr", "ms", "my", "ne", "nl", "no", "ns", "oc", "or", "pa", "pl", "ps", "pt", "ro", "ru", "sd", "si", "sk", "sl", "so", "sq", "sr", "ss", "su", "sv", "sw", "ta", "th", "tl", "tn", "tr", "uk", "ur", "uz", "vi", "wo", "xh", "yi", "yo", "zh", "zu"],
    "wmt21": ["en", "ha", "is", "ja", "cs", "ru", "zh", "de"]
}






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			lowerCAmelCase_							     =						VOCAB_FILES_NAMES
			lowerCAmelCase_							     =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase_							     =						PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase_							     =						["""input_ids""", """attention_mask"""]

			lowerCAmelCase_							     =						[]
			lowerCAmelCase_							     =						[]





			def __init__(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase       ,  __lowerCAmelCase=None       ,  __lowerCAmelCase=None       ,  __lowerCAmelCase="<s>"       ,  __lowerCAmelCase="</s>"       ,  __lowerCAmelCase="</s>"       ,  __lowerCAmelCase="<pad>"       ,  __lowerCAmelCase="<unk>"       ,  __lowerCAmelCase="m2m100"       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase=8       ,  **__lowerCAmelCase       ,  ):



				'''simple docstring'''







				lowerCamelCase__								=		{} if sp_model_kwargs is None else sp_model_kwargs

				lowerCamelCase__								=		language_codes
				lowerCamelCase__								=		FAIRSEQ_LANGUAGE_CODES[language_codes]
				lowerCamelCase__								=		{lang_code: F'__{lang_code}__' for lang_code in fairseq_language_code}

				lowerCamelCase__								=		kwargs.get('''additional_special_tokens'''       ,  []							)
				kwargs["additional_special_tokens"] += [
				    self.get_lang_token(__lowerCAmelCase							)
				    for lang_code in fairseq_language_code
				    if self.get_lang_token(__lowerCAmelCase							) not in kwargs["additional_special_tokens"]
				]

				super().__init__(
				    src_lang=__lowerCAmelCase       ,  tgt_lang=__lowerCAmelCase       ,  bos_token=__lowerCAmelCase       ,  eos_token=__lowerCAmelCase       ,  sep_token=__lowerCAmelCase       ,  unk_token=__lowerCAmelCase       ,  pad_token=__lowerCAmelCase       ,  language_codes=__lowerCAmelCase       ,  sp_model_kwargs=self.sp_model_kwargs       ,  num_madeup_words=__lowerCAmelCase       ,  **__lowerCAmelCase       ,  )

				lowerCamelCase__								=		vocab_file
				lowerCamelCase__								=		load_json(__lowerCAmelCase							)
				lowerCamelCase__								=		{v: k for k, v in self.encoder.items()}
				lowerCamelCase__								=		spm_file
				lowerCamelCase__								=		load_spm(__lowerCAmelCase       ,  self.sp_model_kwargs							)

				lowerCamelCase__								=		len(self.encoder							)

				lowerCamelCase__								=		{
				    self.get_lang_token(__lowerCAmelCase							): self.encoder_size + i for i, lang_code in enumerate(__lowerCAmelCase							)
				}
				lowerCamelCase__								=		{lang_code: self.encoder_size + i for i, lang_code in enumerate(__lowerCAmelCase							)}
				lowerCamelCase__								=		{v: k for k, v in self.lang_token_to_id.items()}

				lowerCamelCase__								=		src_lang if src_lang is not None else '''en'''
				lowerCamelCase__								=		tgt_lang
				lowerCamelCase__								=		self.get_lang_id(self._src_lang							)
				self.set_src_lang_special_tokens(self._src_lang							)

				lowerCamelCase__								=		num_madeup_words





			@property
			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				return len(self.encoder							) + len(self.lang_token_to_id							)





			@property
			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				return self._src_lang





			@src_lang.setter
			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		new_src_lang
				self.set_src_lang_special_tokens(self._src_lang							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







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





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				if token in self.lang_token_to_id:
					return self.lang_token_to_id[token]
				return self.encoder.get(__lowerCAmelCase       ,  self.encoder[self.unk_token]							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				if index in self.id_to_lang_token:
					return self.id_to_lang_token[index]
				return self.decoder.get(__lowerCAmelCase       ,  self.unk_token							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		[]
				lowerCamelCase__								=		''''''
				for token in tokens:
					# make sure that special tokens are not decoded using sentencepiece model
					if token in self.all_special_tokens:
						out_string += self.sp_model.decode(__lowerCAmelCase							) + token
						lowerCamelCase__								=		[]
					else:
						current_sub_tokens.append(__lowerCAmelCase							)
				out_string += self.sp_model.decode(__lowerCAmelCase							)
				return out_string.strip()





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase = False							):



				'''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							)

				lowerCamelCase__								=		[1] * len(self.prefix_tokens							)
				lowerCamelCase__								=		[1] * len(self.suffix_tokens							)
				if token_ids_a is None:
					return prefix_ones + ([0] * len(__lowerCAmelCase							)) + suffix_ones
				return prefix_ones + ([0] * len(__lowerCAmelCase							)) + ([0] * len(__lowerCAmelCase							)) + suffix_ones





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







				if token_ids_a is None:
					return self.prefix_tokens + token_ids_a + self.suffix_tokens
				# We don't expect to process pairs, but leave the pair logic for API consistency
				return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				lowerCamelCase__								=		{self.convert_ids_to_tokens(__lowerCAmelCase							): i for i in range(self.vocab_size							)}
				vocab.update(self.added_tokens_encoder							)
				return vocab





			def __getstate__(    self							):



				'''simple docstring'''







				lowerCamelCase__								=		self.__dict__.copy()
				lowerCamelCase__								=		None
				return state





			def __setstate__(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		d

				# for backward compatibility
				if not hasattr(self       ,  '''sp_model_kwargs'''							):
					lowerCamelCase__								=		{}

				lowerCamelCase__								=		load_spm(self.spm_file       ,  self.sp_model_kwargs							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







				lowerCamelCase__								=		Path(__lowerCAmelCase							)
				if not save_dir.is_dir():
					raise OSError(F'{save_directory} should be a directory'							)
				lowerCamelCase__								=		save_dir / (
				    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
				)
				lowerCamelCase__								=		save_dir / (
				    (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
				)

				save_json(self.encoder       ,  __lowerCAmelCase							)

				if os.path.abspath(self.spm_file							) != os.path.abspath(__lowerCAmelCase							) and os.path.isfile(self.spm_file							):
					copyfile(self.spm_file       ,  __lowerCAmelCase							)
				elif not os.path.isfile(self.spm_file							):
					with open(__lowerCAmelCase       ,  '''wb'''							) as fi:
						lowerCamelCase__								=		self.sp_model.serialized_model_proto()
						fi.write(__lowerCAmelCase							)

				return (str(__lowerCAmelCase							), str(__lowerCAmelCase							))





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = "en"       ,  __lowerCAmelCase = None       ,  __lowerCAmelCase = "ro"       ,  **__lowerCAmelCase       ,  ):



				'''simple docstring'''







				lowerCamelCase__								=		src_lang
				lowerCamelCase__								=		tgt_lang
				self.set_src_lang_special_tokens(self.src_lang							)
				return super().prepare_seqaseq_batch(__lowerCAmelCase       ,  __lowerCAmelCase       ,  **__lowerCAmelCase							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase       ,  __lowerCAmelCase       ,  **__lowerCAmelCase							):



				'''simple docstring'''







				if src_lang is None or tgt_lang is None:
					raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''							)
				lowerCamelCase__								=		src_lang
				lowerCamelCase__								=		self(__lowerCAmelCase       ,  add_special_tokens=__lowerCAmelCase       ,  **__lowerCAmelCase							)
				lowerCamelCase__								=		self.get_lang_id(__lowerCAmelCase							)
				lowerCamelCase__								=		tgt_lang_id
				return inputs





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				self.set_src_lang_special_tokens(self.src_lang							)





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				self.set_tgt_lang_special_tokens(self.tgt_lang							)





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		self.get_lang_token(__lowerCAmelCase							)
				lowerCamelCase__								=		self.lang_token_to_id[lang_token]
				lowerCamelCase__								=		[self.cur_lang_id]
				lowerCamelCase__								=		[self.eos_token_id]





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		self.get_lang_token(__lowerCAmelCase							)
				lowerCamelCase__								=		self.lang_token_to_id[lang_token]
				lowerCamelCase__								=		[self.cur_lang_id]
				lowerCamelCase__								=		[self.eos_token_id]





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				return self.lang_code_to_token[lang]





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__								=		self.get_lang_token(__lowerCAmelCase							)
				return self.lang_token_to_id[lang_token]





def lowerCAmelCase__(__snake_case       ,__snake_case							)				->      sentencepiece.SentencePieceProcessor:







	'''simple docstring'''







	lowerCamelCase__								=		sentencepiece.SentencePieceProcessor(**__snake_case							)
	spm.Load(str(__snake_case							)							)
	return spm





def lowerCAmelCase__(__snake_case							)				->      Union[Dict, List]:







	'''simple docstring'''







	with open(__snake_case       ,'''r'''							) as f:
		return json.load(__snake_case							)





def lowerCAmelCase__(__snake_case       ,__snake_case							)				->      None:







	'''simple docstring'''







	with open(__snake_case       ,'''w'''							) as f:
		json.dump(__snake_case       ,__snake_case       ,indent=2							)



