
"""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 							__magic_name__     (		lowercase__      ,		unittest.TestCase   ):
					_SCREAMING_SNAKE_CASE       :					Dict     							=   WavaVecaPhonemeCTCTokenizer
					_SCREAMING_SNAKE_CASE       :					List[str]     							=   False





					def 							lowerCAmelCase      (				self   :							List[str]    ):
												super().setUp()

												__snake_case     			=       (
												    "<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(" "    )
												__snake_case     			=       dict(zip(snake_case_							,						range(len(snake_case_    )    )    )    )

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

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

												# Ensure consistency
												__snake_case     			=       tokenizer.decode(snake_case_							,						clean_up_tokenization_spaces=snake_case_    )
												if " " not in output_txt and len(snake_case_    ) > 1:
																			__snake_case     			=       (
																			    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:
																			__snake_case     			=       " " + output_txt
												__snake_case     			=       tokenizer.encode(snake_case_							,						add_special_tokens=snake_case_    )
												return output_txt, output_ids





					def 							lowerCAmelCase      (				self   :							Optional[int]							,						**snake_case_   :							Tuple    ):
												kwargs.update(self.special_tokens_map    )
												return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname							,						**snake_case_    )





					def 							lowerCAmelCase      (				self   :							Union[str, Any]    ):
												__snake_case     			=       self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"    )

												# check adding a single token
												tokenizer.add_tokens("xxx"    )
												__snake_case     			=       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"]    )
												__snake_case     			=       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

												__snake_case     			=       tokenizer("maɪ c"							,						do_phonemize=snake_case_    ).input_ids
												self.assertEqual(snake_case_							,						[3, 200]    )  # mai should be <unk> (=3)





					def 							lowerCAmelCase      (				self   :							Optional[Any]    ):
												__snake_case     			=       self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"    )

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





					def 							lowerCAmelCase      (				self   :							Tuple    ):
												__snake_case     			=       self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"    )

												__snake_case     			=       "Hello how are you"
												__snake_case     			=       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 							lowerCAmelCase      (				self   :							Tuple    ):
												__snake_case     			=       self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"    )
												__snake_case     			=       "Hello how are you"
												__snake_case     			=       tokenizer.phonemize(snake_case_							,						phonemizer_lang="en-us"    )

												__snake_case     			=       tokenizer.decode(tokenizer(snake_case_    ).input_ids    )

												self.assertEqual(snake_case_							,						snake_case_    )





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

												__snake_case     			=       [
												    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
												    [24, 22, 5, 24, 22, 5, 77],
												]
												__snake_case     			=       tokenizer.decode(sample_ids[0]    )
												__snake_case     			=       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 							lowerCAmelCase      (				self   :							str    ):
												__snake_case     			=       self.tokenizer_class.from_pretrained(
												    "facebook/wav2vec2-lv-60-espeak-cv-ft"							,						word_delimiter_token="|"    )
												tokenizer.add_tokens("|"    )

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





					def 							lowerCAmelCase      (				self   :							Dict    ):
												__snake_case     			=       self.tokenizer_class.from_pretrained(
												    "facebook/wav2vec2-lv-60-espeak-cv-ft"							,						word_delimiter_token="|"    )
												tokenizer.add_tokens("|"    )

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

												# fmt: off
												__snake_case     			=       [
												    [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
												__snake_case     			=       tokenizer.decode(sample_ids[0]    )
												__snake_case     			=       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
												__snake_case     			=       tokenizer.decode(sample_ids[0]							,						filter_word_delimiter_token=snake_case_    )
												__snake_case     			=       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 							lowerCAmelCase      (				self   :							Optional[int]    ):
												__snake_case     			=       self.tokenizer_class.from_pretrained(
												    "facebook/wav2vec2-lv-60-espeak-cv-ft"							,						word_delimiter_token="|"    )
												tokenizer.add_tokens("|"    )

												__snake_case     			=       "Hello how are you"
												__snake_case     			=       tokenizer.phonemize(snake_case_							,						phonemizer_lang="en-us"    )

												__snake_case     			=       tokenizer.decode(tokenizer(snake_case_    ).input_ids							,						filter_word_delimiter_token=snake_case_    )

												self.assertEqual(snake_case_							,						snake_case_    )





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

												__snake_case     			=       "Hello how are you"
												__snake_case     			=       tokenizer.phonemize(snake_case_							,						phonemizer_lang="en-us"    )

												__snake_case     			=       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 							lowerCAmelCase      (				self   :							Union[str, Any]    ):
												__snake_case     			=       self.tokenizer_class.from_pretrained(
												    "facebook/wav2vec2-lv-60-espeak-cv-ft"							,						word_delimiter_token=snake_case_    )
												__snake_case     			=       "Hello how are you"

												__snake_case     			=       tokenizer(snake_case_							,						phonemizer_lang="en-us"    ).input_ids
												__snake_case     			=       tokenizer(snake_case_							,						phonemizer_lang="fr-fr"    ).input_ids

												self.assertNotEqual(snake_case_							,						snake_case_    )

												__snake_case     			=       tokenizer.decode(snake_case_    )
												__snake_case     			=       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 							lowerCAmelCase      (				self   :							Tuple    ):
												__snake_case     			=       self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"    )
												__snake_case     			=       "Hello how Are you"
												__snake_case     			=       "hello how are you"

												__snake_case     			=       tokenizer(snake_case_    ).input_ids
												__snake_case     			=       tokenizer(snake_case_    ).input_ids

												self.assertEqual(snake_case_							,						snake_case_    )





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

												# fmt: off
												__snake_case     			=       [
												    [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

												__snake_case     			=       tokenizer.batch_decode(snake_case_    )
												self.assertEqual(snake_case_							,						["k s ɾ ɾ l ɭʲ!?!? $$$", "j ð s j ð s oːɹ $$$"]    )





					@staticmethod
					def 							lowerCAmelCase      (				snake_case_   :							Union[str, Any]							,						snake_case_   :							List[str]    ):
												__snake_case     			=       [d[key] for d in offsets]
												return retrieved_list





					def 							lowerCAmelCase      (				self   :							Dict    ):
												__snake_case     			=       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"
												__snake_case     			=       [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

												__snake_case     			=       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 							lowerCAmelCase      (				self   :							List[str]    ):
												__snake_case     			=       self.get_tokenizer(word_delimiter_token="|"    )

												def check_list_tuples_equal(snake_case_   :							Optional[int]							,						snake_case_   :							List[str]    ):
																			self.assertTrue(isinstance(snake_case_							,						snake_case_    )    )
																			self.assertTrue(isinstance(outputs_list[0]							,						snake_case_    )    )

																			# transform list to ModelOutput
																			__snake_case     			=       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_   :							Union[str, Any]							,						snake_case_   :							Optional[Any]    ):
																										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
												__snake_case     			=       [
												    [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
												__snake_case     			=       tokenizer.batch_decode(snake_case_							,						output_char_offsets=snake_case_    )
												__snake_case     			=       [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 							lowerCAmelCase      (				self   :							Tuple    ):
												pass





					@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"    )
					def 							lowerCAmelCase      (				self   :							Any    ):
												pass





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





					@unittest.skip("Wav2Vec2PhonemeModel has no max model length => no testing"    )
					def 							lowerCAmelCase      (				self   :							Tuple    ):
												pass





					def 							lowerCAmelCase      (				self   :							str    ):
												__snake_case     			=       self.get_tokenizers(do_lower_case=snake_case_    )
												for tokenizer in tokenizers:
																			with self.subTest(F'''{tokenizer.__class__.__name__}'''    ):
																										__snake_case     			=       tokenizer.vocab_size
																										__snake_case     			=       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)

																										__snake_case     			=       ["aaaaa bbbbbb", "cccccccccdddddddd"]
																										__snake_case     			=       tokenizer.add_tokens(snake_case_    )
																										__snake_case     			=       tokenizer.vocab_size
																										__snake_case     			=       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_    )    )

																										__snake_case     			=       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    )

																										__snake_case     			=       {"eos_token": ">>>>|||<||<<|<<", "pad_token": "<<<<<|||>|>>>>|>"}
																										__snake_case     			=       tokenizer.add_special_tokens(snake_case_    )
																										__snake_case     			=       tokenizer.vocab_size
																										__snake_case     			=       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_    )    )

																										__snake_case     			=       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 							lowerCAmelCase      (				self   :							Tuple    ):
												pass





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





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

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


"""simple docstring"""







from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
		import torch

if is_vision_available():
		from PIL import Image


_SCREAMING_SNAKE_CASE	       =      ["""text""", """image""", """audio"""]
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     List[Any]:







							"""simple docstring"""


							__snake_case     			=       []

							for input_type in input_types:
														if input_type == "text":
																					inputs.append("Text input" )
														elif input_type == "image":
																					inputs.append(
																					    Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO" ) ) / "000000039769.png" ).resize((5_12, 5_12) ) )
														elif input_type == "audio":
																					inputs.append(torch.ones(30_00 ) )
														elif isinstance(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE ):
																					inputs.append(create_inputs(SCREAMING_SNAKE_CASE ) )
														else:
																					raise ValueError(F'''Invalid type requested: {input_type}''' )

							return inputs
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     Optional[Any]:







							"""simple docstring"""


							__snake_case     			=       []

							for output in outputs:
														if isinstance(SCREAMING_SNAKE_CASE							,    (str, AgentText) ):
																					output_types.append("text" )
														elif isinstance(SCREAMING_SNAKE_CASE							,    (Image.Image, AgentImage) ):
																					output_types.append("image" )
														elif isinstance(SCREAMING_SNAKE_CASE							,    (torch.Tensor, AgentAudio) ):
																					output_types.append("audio" )
														else:
																					raise ValueError(F'''Invalid output: {output}''' )

							return output_types







@is_tool_test
class 							__magic_name__     :





					def 							lowerCAmelCase      (				self   :							Optional[int]    ):
												self.assertTrue(hasattr(self.tool							,						"inputs"    )    )
												self.assertTrue(hasattr(self.tool							,						"outputs"    )    )

												__snake_case     			=       self.tool.inputs
												for _input in inputs:
																			if isinstance(_input							,						snake_case_    ):
																										for __input in _input:
																																	self.assertTrue(__input in authorized_types    )
																			else:
																										self.assertTrue(_input in authorized_types    )

												__snake_case     			=       self.tool.outputs
												for _output in outputs:
																			self.assertTrue(_output in authorized_types    )





					def 							lowerCAmelCase      (				self   :							int    ):
												__snake_case     			=       create_inputs(self.tool.inputs    )
												__snake_case     			=       self.tool(*snake_case_    )

												# There is a single output
												if len(self.tool.outputs    ) == 1:
																			__snake_case     			=       [outputs]

												self.assertListEqual(output_types(snake_case_    )							,						self.tool.outputs    )





					def 							lowerCAmelCase      (				self   :							Union[str, Any]    ):
												self.assertTrue(hasattr(self.tool							,						"description"    )    )
												self.assertTrue(hasattr(self.tool							,						"default_checkpoint"    )    )
												self.assertTrue(self.tool.description.startswith("This is a tool that"    )    )





					def 							lowerCAmelCase      (				self   :							Any    ):
												__snake_case     			=       create_inputs(self.tool.inputs    )
												__snake_case     			=       self.tool(*snake_case_    )

												if not isinstance(snake_case_							,						snake_case_    ):
																			__snake_case     			=       [outputs]

												self.assertEqual(len(snake_case_    )							,						len(self.tool.outputs    )    )

												for output, output_type in zip(snake_case_							,						self.tool.outputs    ):
																			__snake_case     			=       AGENT_TYPE_MAPPING[output_type]
																			self.assertTrue(isinstance(snake_case_							,						snake_case_    )    )





					def 							lowerCAmelCase      (				self   :							Tuple    ):
												__snake_case     			=       create_inputs(self.tool.inputs    )

												__snake_case     			=       []

												for _input, input_type in zip(snake_case_							,						self.tool.inputs    ):
																			if isinstance(snake_case_							,						snake_case_    ):
																										_inputs.append([AGENT_TYPE_MAPPING[_input_type](_input    ) for _input_type in input_type]    )
																			else:
																										_inputs.append(AGENT_TYPE_MAPPING[input_type](_input    )    )

        # Should not raise an error
												__snake_case     			=       self.tool(*snake_case_    )

												if not isinstance(snake_case_							,						snake_case_    ):
																			__snake_case     			=       [outputs]

												self.assertEqual(len(snake_case_    )							,						len(self.tool.outputs    )    )
