






"""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        lowercase__      (							snake_case__,       unittest.TestCase       ):
			_UpperCAmelCase		:int             =			WavaVecaPhonemeCTCTokenizer
			_UpperCAmelCase		:Any             =			False


			def      UpperCAmelCase__						(				self					:  List[Any] ):
										super().setUp()

										lowerCamelCase_	:							Optional[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(" " )
										lowerCamelCase_	:							List[str]									=dict(zip(snake_case__       ,	range(len(snake_case__ ) ) ) )

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

										lowerCamelCase_	:							Optional[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					:  Dict       ,	snake_case__					:  Optional[int]       ,	snake_case__					:  Any=False       ,	snake_case__					:  Dict=20       ,	snake_case__					:  Optional[Any]=5 ):
										lowerCamelCase_	:							int									=[(i, tokenizer.decode([i]       ,	clean_up_tokenization_spaces=snake_case__ )) for i in range(len(snake_case__ ) )]
										lowerCamelCase_	:							List[str]									=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:
																	lowerCamelCase_	:							Tuple									=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:
																								lowerCamelCase_	:							Optional[Any]									=toks + toks
        # toks_str = [t[1] for t in toks]
										lowerCamelCase_	:							List[str]									=[t[0] for t in toks]

										# Ensure consistency
										lowerCamelCase_	:							str									=tokenizer.decode(snake_case__       ,	clean_up_tokenization_spaces=snake_case__ )
										if " " not in output_txt and len(snake_case__ ) > 1:
																	lowerCamelCase_	:							int									=(
																	    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:
																	lowerCamelCase_	:							Union[str, Any]									=" " + output_txt
										lowerCamelCase_	:							Optional[Any]									=tokenizer.encode(snake_case__       ,	add_special_tokens=snake_case__ )
										return output_txt, output_ids


			def      UpperCAmelCase__						(				self					:  str       ,	**snake_case__					:  Union[str, Any] ):
										kwargs.update(self.special_tokens_map )
										return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname       ,	**snake_case__ )


			def      UpperCAmelCase__						(				self					:  int ):
										lowerCamelCase_	:							List[str]									=self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )

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

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

										lowerCamelCase_	:							Optional[Any]									=tokenizer("maɪ c"       ,	do_phonemize=snake_case__ ).input_ids
										self.assertEqual(snake_case__       ,	[3, 200] )  # mai should be <unk> (=3)


			def      UpperCAmelCase__						(				self					:  List[str] ):
										lowerCamelCase_	:							int									=self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )

										lowerCamelCase_	:							Optional[Any]									="Hello how are you"
										lowerCamelCase_	:							List[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					:  List[str] ):
										lowerCamelCase_	:							Dict									=self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )

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

										lowerCamelCase_	:							Union[str, Any]									=tokenizer.decode(tokenizer(snake_case__ ).input_ids )

										self.assertEqual(snake_case__       ,	snake_case__ )


			def      UpperCAmelCase__						(				self					:  int ):
										lowerCamelCase_	:							List[str]									=self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )

										lowerCamelCase_	:							List[str]									=[
										    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
										    [24, 22, 5, 24, 22, 5, 77],
										]
										lowerCamelCase_	:							Optional[Any]									=tokenizer.decode(sample_ids[0] )
										lowerCamelCase_	:							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"] )


			def      UpperCAmelCase__						(				self					:  Dict ):
										lowerCamelCase_	:							List[str]									=self.tokenizer_class.from_pretrained(
										    "facebook/wav2vec2-lv-60-espeak-cv-ft"       ,	word_delimiter_token="|" )
										tokenizer.add_tokens("|" )

										lowerCamelCase_	:							Tuple									="Hello how are you"
										lowerCamelCase_	:							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					:  int ):
										lowerCamelCase_	:							Dict									=self.tokenizer_class.from_pretrained(
										    "facebook/wav2vec2-lv-60-espeak-cv-ft"       ,	word_delimiter_token="|" )
										tokenizer.add_tokens("|" )

										lowerCamelCase_	:							str									="Hello how are you"
										lowerCamelCase_	:							Dict									=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					:  Union[str, Any] ):
										lowerCamelCase_	:							Dict									=self.tokenizer_class.from_pretrained(
										    "facebook/wav2vec2-lv-60-espeak-cv-ft"       ,	word_delimiter_token="|" )
										tokenizer.add_tokens("|" )

										# fmt: off
										lowerCamelCase_	:							Optional[int]									=[
										    [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_	:							Dict									=tokenizer.decode(sample_ids[0] )
										lowerCamelCase_	:							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"] )

										# decode with no word_del_token filter
										lowerCamelCase_	:							Optional[Any]									=tokenizer.decode(sample_ids[0]       ,	filter_word_delimiter_token=snake_case__ )
										lowerCamelCase_	:							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					:  int ):
										lowerCamelCase_	:							Dict									=self.tokenizer_class.from_pretrained(
										    "facebook/wav2vec2-lv-60-espeak-cv-ft"       ,	word_delimiter_token="|" )
										tokenizer.add_tokens("|" )

										lowerCamelCase_	:							str									="Hello how are you"
										lowerCamelCase_	:							Dict									=tokenizer.phonemize(snake_case__       ,	phonemizer_lang="en-us" )

										lowerCamelCase_	:							Optional[int]									=tokenizer.decode(tokenizer(snake_case__ ).input_ids       ,	filter_word_delimiter_token=snake_case__ )

										self.assertEqual(snake_case__       ,	snake_case__ )


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

										lowerCamelCase_	:							Dict									="Hello how are you"
										lowerCamelCase_	:							int									=tokenizer.phonemize(snake_case__       ,	phonemizer_lang="en-us" )

										lowerCamelCase_	:							List[str]									=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					:  Tuple ):
										lowerCamelCase_	:							List[str]									=self.tokenizer_class.from_pretrained(
										    "facebook/wav2vec2-lv-60-espeak-cv-ft"       ,	word_delimiter_token=snake_case__ )
										lowerCamelCase_	:							Optional[Any]									="Hello how are you"

										lowerCamelCase_	:							Dict									=tokenizer(snake_case__       ,	phonemizer_lang="en-us" ).input_ids
										lowerCamelCase_	:							Optional[Any]									=tokenizer(snake_case__       ,	phonemizer_lang="fr-fr" ).input_ids

										self.assertNotEqual(snake_case__       ,	snake_case__ )

										lowerCamelCase_	:							Any									=tokenizer.decode(snake_case__ )
										lowerCamelCase_	:							Tuple									=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					:  Union[str, Any] ):
										lowerCamelCase_	:							str									=self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )
										lowerCamelCase_	:							Optional[Any]									="Hello how Are you"
										lowerCamelCase_	:							Tuple									="hello how are you"

										lowerCamelCase_	:							Tuple									=tokenizer(snake_case__ ).input_ids
										lowerCamelCase_	:							Optional[int]									=tokenizer(snake_case__ ).input_ids

										self.assertEqual(snake_case__       ,	snake_case__ )


			def      UpperCAmelCase__						(				self					:  Tuple ):
										lowerCamelCase_	:							Any									=self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft" )
										tokenizer.add_tokens(["!", "?"] )
										tokenizer.add_special_tokens({"cls_token": "$$$"} )

										# fmt: off
										lowerCamelCase_	:							Union[str, Any]									=[
										    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 392, 392, 393, 392, 392, 393, 394, 394],
										    [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 394, 394],
										]
										# fmt: on

										lowerCamelCase_	:							Optional[Any]									=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__					:  str       ,	snake_case__					:  List[Any] ):
										lowerCamelCase_	:							Dict									=[d[key] for d in offsets]
										return retrieved_list


			def      UpperCAmelCase__						(				self					:  Dict ):
										lowerCamelCase_	:							List[Any]									=self.get_tokenizer(word_delimiter_token="|" )
										tokenizer.add_tokens("|" )

										# fmt: off
										# ksssɾɾ|ɾɾ<pad>ɾɾ|<pad>ɾlll|ɭʲ -> k s ɾ ɾ | ɾ l | ɭʲ"
										lowerCamelCase_	:							Dict									=[11, 5, 5, 5, 15, 15, tokenizer.pad_token_id, 15, 15, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 15, 8, 8, 8, tokenizer.word_delimiter_token_id, 98]
										# fmt: on

										lowerCamelCase_	:							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, 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      UpperCAmelCase__						(				self					:  Optional[int] ):
										lowerCamelCase_	:							Optional[int]									=self.get_tokenizer(word_delimiter_token="|" )

										def check_list_tuples_equal(snake_case__					:  Dict       ,	snake_case__					:  List[str] ):
																	self.assertTrue(isinstance(snake_case__       ,	snake_case__ ) )
																	self.assertTrue(isinstance(outputs_list[0]       ,	snake_case__ ) )

																	# transform list to ModelOutput
																	lowerCamelCase_	:							Any									=WavaVecaPhonemeCTCTokenizerOutput(
																	    {k: [d[k] for d in outputs_list] for k in outputs_list[0]} )

																	self.assertListEqual(outputs_batch["text"]       ,	outputs_batch_a["text"] )

																	def recursive_check(snake_case__					:  List[Any]       ,	snake_case__					:  List[str] ):
																								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
										lowerCamelCase_	:							List[Any]									=[
										    [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_	:							str									=tokenizer.batch_decode(snake_case__       ,	output_char_offsets=snake_case__ )
										lowerCamelCase_	:							List[Any]									=[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					:  int ):
										pass


			@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes" )
			def      UpperCAmelCase__						(				self					:  Union[str, Any] ):
										pass


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


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


			def      UpperCAmelCase__						(				self					:  int ):
										lowerCamelCase_	:							List[Any]									=self.get_tokenizers(do_lower_case=snake_case__ )
										for tokenizer in tokenizers:
																	with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
																								lowerCamelCase_	:							Any									=tokenizer.vocab_size
																								lowerCamelCase_	:							Tuple									=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)

																								lowerCamelCase_	:							str									=["aaaaa bbbbbb", "cccccccccdddddddd"]
																								lowerCamelCase_	:							List[str]									=tokenizer.add_tokens(snake_case__ )
																								lowerCamelCase_	:							List[Any]									=tokenizer.vocab_size
																								lowerCamelCase_	:							Optional[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__ ) )

																								lowerCamelCase_	:							Union[str, Any]									=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 )

																								lowerCamelCase_	:							Union[str, Any]									={"eos_token": ">>>>|||<||<<|<<", "pad_token": "<<<<<|||>|>>>>|>"}
																								lowerCamelCase_	:							int									=tokenizer.add_special_tokens(snake_case__ )
																								lowerCamelCase_	:							List[str]									=tokenizer.vocab_size
																								lowerCamelCase_	:							Optional[int]									=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__ ) )

																								lowerCamelCase_	:							str									=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					:  List[str] ):
										pass


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


			def      UpperCAmelCase__						(				self					:  Tuple ):
										# 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_	:							Any									=self.get_tokenizers(fast=snake_case__       ,	do_lower_case=snake_case__ )
										for tokenizer in tokenizers:
																	with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
																								lowerCamelCase_	:							List[Any]									=["ð", "ɪ", "s", "ɪ", "z", "ɐ", "t", "ɛ", "k", "s", "t"]
																								lowerCamelCase_	:							Union[str, Any]									=tokenizer.convert_tokens_to_string(snake_case__ )

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











"""simple docstring"""



import torch

def 			_snake_case    (					)    ->     Union[str, Any]:
							if torch.cuda.is_available():
														lowerCamelCase_	:							int									=torch.cuda.device_count()
							else:
														lowerCamelCase_	:							List[str]									=0
							print(F"""Successfully ran on {num_gpus} GPUs"""  )


if __name__ == "__main__":
						main()



