



'''simple docstring'''



import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase_     :       Dict								=						logging.get_logger(__name__)


lowerCAmelCase_     :       Dict								=						{
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

lowerCAmelCase_     :       Optional[Any]								=						{
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

lowerCAmelCase_     :       Any								=						'</w>'
lowerCAmelCase_     :       int								=						'@@ '
def 					UpperCAmelCase   (						A  :				Union[str, Any]				):
							SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			set()
							SCREAMING_SNAKE_CASE					:      str     					=			word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)				)
														SCREAMING_SNAKE_CASE					:      Dict     					=			char
							return pairs


# Speech2Text2 has no max input length
lowerCAmelCase_     :       List[Any]								=						{'facebook/s2t-wav2vec2-large-en-de': 1024}






class 	lowerCamelCase_							(					snake_case_			):
						_lowerCAmelCase     :   Union[str, Any]	     =				VOCAB_FILES_NAMES
						_lowerCAmelCase     :   Optional[Any]	     =				PRETRAINED_VOCAB_FILES_MAP
						_lowerCAmelCase     :   str	     =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_lowerCAmelCase     :   Union[str, Any]	     =				['input_ids', 'attention_mask']







						def __init__(  self   :      List[str]				,    lowerCAmelCase__   :      str				,    lowerCAmelCase__   :      List[Any]="<s>"				,    lowerCAmelCase__   :      Tuple="<pad>"				,    lowerCAmelCase__   :      List[Any]="</s>"				,    lowerCAmelCase__   :      str="<unk>"				,    lowerCAmelCase__   :      List[str]=False				,    lowerCAmelCase__   :      Union[str, Any]=None				,    **lowerCAmelCase__   :      List[Any]				,    ):

													"""simple docstring"""
													super().__init__(
													    unk_token=lowerCAmelCase__				,    bos_token=lowerCAmelCase__				,    eos_token=lowerCAmelCase__				,    pad_token=lowerCAmelCase__				,    do_lower_case=lowerCAmelCase__				,    **lowerCAmelCase__				,    )

													SCREAMING_SNAKE_CASE					:      int     					=			do_lower_case

													with open(lowerCAmelCase__				,    encoding='''utf-8'''				) as vocab_handle:
																				SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			json.load(lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			{v: k for k, v in self.encoder.items()}

													if merges_file is None:
																				logger.info(F"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""				)

																				SCREAMING_SNAKE_CASE					:      Any     					=			None
																				SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			None
													else:
																				with open(lowerCAmelCase__				,    encoding='''utf-8'''				) as merges_handle:
																											SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			merges_handle.read().split('''\n'''				)[:-1]

																				SCREAMING_SNAKE_CASE					:      int     					=			[tuple(merge.split()[:2]				) for merge in merges]
																				SCREAMING_SNAKE_CASE					:      int     					=			dict(zip(lowerCAmelCase__				,    range(len(lowerCAmelCase__				)				)				)				)
																				SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			{}







						@property
						def 					__lowercase    (  self   :      List[Any]				):

													"""simple docstring"""
													return len(self.decoder				)







						def 					__lowercase    (  self   :      List[str]				):

													"""simple docstring"""
													return dict(self.encoder				,    **self.added_tokens_encoder				)







						def 					__lowercase    (  self   :      str				,    lowerCAmelCase__   :      int				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			tuple(token[:-1]				) + (token[-1] + BPE_TOKEN_MERGES,)
													if token in self.cache:
																				return self.cache[token]
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			get_pairs(lowerCAmelCase__				)

													if not pairs:
																				return token

													while True:
																				SCREAMING_SNAKE_CASE					:      Tuple     					=			min(lowerCAmelCase__				,    key=lambda lowerCAmelCase__				: self.bpe_ranks.get(lowerCAmelCase__				,    float('''inf'''				)				)				)
																				if bigram not in self.bpe_ranks:
																											break
																				SCREAMING_SNAKE_CASE					,SCREAMING_SNAKE_CASE					:      int     					=			bigram
																				SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			[]
																				SCREAMING_SNAKE_CASE					:      Optional[int]     					=			0
																				while i < len(lowerCAmelCase__				):
																											try:
																																		SCREAMING_SNAKE_CASE					:      List[str]     					=			word.index(lowerCAmelCase__				,    lowerCAmelCase__				)
																											except ValueError:
																																		new_word.extend(word[i:]				)
																																		break
																											else:
																																		new_word.extend(word[i:j]				)
																																		SCREAMING_SNAKE_CASE					:      List[str]     					=			j

																											if word[i] == first and i < len(lowerCAmelCase__				) - 1 and word[i + 1] == second:
																																		new_word.append(first + second				)
																																		i += 2
																											else:
																																		new_word.append(word[i]				)
																																		i += 1
																				SCREAMING_SNAKE_CASE					:      int     					=			tuple(lowerCAmelCase__				)
																				SCREAMING_SNAKE_CASE					:      Optional[int]     					=			new_word
																				if len(lowerCAmelCase__				) == 1:
																											break
																				else:
																											SCREAMING_SNAKE_CASE					:      Tuple     					=			get_pairs(lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      Dict     					=			''' '''.join(lowerCAmelCase__				)
													if word == "\n  " + BPE_TOKEN_MERGES:
																				SCREAMING_SNAKE_CASE					:      List[str]     					=			'''\n''' + BPE_TOKEN_MERGES

													if word.endswith(lowerCAmelCase__				):
																				SCREAMING_SNAKE_CASE					:      List[str]     					=			word.replace(lowerCAmelCase__				,    ''''''				)

													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			word.replace(''' '''				,    lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      str     					=			word
													return word







						def 					__lowercase    (  self   :      Optional[int]				,    lowerCAmelCase__   :      Optional[Any]				):

													"""simple docstring"""

													if self.bpe_ranks is None:
																				raise ValueError(
																				    '''This tokenizer was instantiated without a `merges.txt` file, so'''
																				    ''' that it can only be used for decoding, not for encoding.'''
																				    '''Make sure to provide `merges.txt` file at instantiation to enable '''
																				    '''encoding.'''				)

													if self.do_lower_case:
																				SCREAMING_SNAKE_CASE					:      List[Any]     					=			text.lower()

													SCREAMING_SNAKE_CASE					:      Any     					=			text.split()

													SCREAMING_SNAKE_CASE					:      List[str]     					=			[]
													for token in text:
																				if token:
																											split_tokens.extend(list(self.bpe(lowerCAmelCase__				).split(''' '''				)				)				)

													return split_tokens







						def 					__lowercase    (  self   :      Optional[Any]				,    lowerCAmelCase__   :      str				):

													"""simple docstring"""
													return self.encoder.get(lowerCAmelCase__				,    self.encoder.get(self.unk_token				)				)







						def 					__lowercase    (  self   :      Tuple				,    lowerCAmelCase__   :      int				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      str     					=			self.decoder.get(lowerCAmelCase__				,    self.unk_token				)
													return result







						def 					__lowercase    (  self   :      int				,    lowerCAmelCase__   :      List[str]				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Any     					=			''' '''.join(lowerCAmelCase__				)

													# make sure @@ tokens are concatenated
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			''''''.join(string.split(lowerCAmelCase__				)				)

													return string







						def 					__lowercase    (  self   :      List[str]				,    lowerCAmelCase__   :      str				,    lowerCAmelCase__   :      Optional[str] = None				):

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

													with open(lowerCAmelCase__				,    '''w'''				,    encoding='''utf-8'''				) as f:
																				f.write(json.dumps(self.encoder				,    indent=2				,    sort_keys=lowerCAmelCase__				,    ensure_ascii=lowerCAmelCase__				) + '''\n'''				)

													SCREAMING_SNAKE_CASE					:      Tuple     					=			0
													if self.bpe_ranks is None:
																				return (vocab_file,)

													with open(lowerCAmelCase__				,    '''w'''				,    encoding='''utf-8'''				) as writer:
																				for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,    key=lambda lowerCAmelCase__				: kv[1]				):
																											if index != token_index:
																																		logger.warning(
																																		    F"""Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."""
																																		    ''' Please check that the tokenizer is not corrupted!'''				)
																																		SCREAMING_SNAKE_CASE					:      Any     					=			token_index
																											writer.write(''' '''.join(lowerCAmelCase__				) + '''\n'''				)
																											index += 1

													return (vocab_file, merges_file)









'''simple docstring'''



import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list
@require_torchaudio
@require_sentencepiece
class 	lowerCamelCase_							(					unittest.TestCase			):







						def 					__lowercase    (  self   :      Union[str, Any]				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      int     					=			'''laion/clap-htsat-unfused'''
													SCREAMING_SNAKE_CASE					:      Tuple     					=			tempfile.mkdtemp()







						def 					__lowercase    (  self   :      Tuple				,    **lowerCAmelCase__   :      Dict				):

													"""simple docstring"""
													return RobertaTokenizer.from_pretrained(self.checkpoint				,    **lowerCAmelCase__				)







						def 					__lowercase    (  self   :      int				,    **lowerCAmelCase__   :      str				):

													"""simple docstring"""
													return ClapFeatureExtractor.from_pretrained(self.checkpoint				,    **lowerCAmelCase__				)







						def 					__lowercase    (  self   :      Union[str, Any]				):

													"""simple docstring"""
													shutil.rmtree(self.tmpdirname				)







						def 					__lowercase    (  self   :      Dict				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      List[str]     					=			self.get_tokenizer()
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			self.get_feature_extractor()

													SCREAMING_SNAKE_CASE					:      List[str]     					=			ClapProcessor(tokenizer=lowerCAmelCase__				,    feature_extractor=lowerCAmelCase__				)

													processor.save_pretrained(self.tmpdirname				)
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			ClapProcessor.from_pretrained(self.tmpdirname				)

													self.assertEqual(processor.tokenizer.get_vocab()				,    tokenizer.get_vocab()				)
													self.assertIsInstance(processor.tokenizer				,    lowerCAmelCase__				)

													self.assertEqual(processor.feature_extractor.to_json_string()				,    feature_extractor.to_json_string()				)
													self.assertIsInstance(processor.feature_extractor				,    lowerCAmelCase__				)







						def 					__lowercase    (  self   :      Union[str, Any]				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Dict     					=			ClapProcessor(tokenizer=self.get_tokenizer()				,    feature_extractor=self.get_feature_extractor()				)
													processor.save_pretrained(self.tmpdirname				)

													SCREAMING_SNAKE_CASE					:      List[Any]     					=			self.get_tokenizer(bos_token='''(BOS)'''				,    eos_token='''(EOS)'''				)
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			self.get_feature_extractor(do_normalize=lowerCAmelCase__				,    padding_value=1.0				)

													SCREAMING_SNAKE_CASE					:      str     					=			ClapProcessor.from_pretrained(
													    self.tmpdirname				,    bos_token='''(BOS)'''				,    eos_token='''(EOS)'''				,    do_normalize=lowerCAmelCase__				,    padding_value=1.0				)

													self.assertEqual(processor.tokenizer.get_vocab()				,    tokenizer_add_kwargs.get_vocab()				)
													self.assertIsInstance(processor.tokenizer				,    lowerCAmelCase__				)

													self.assertEqual(processor.feature_extractor.to_json_string()				,    feature_extractor_add_kwargs.to_json_string()				)
													self.assertIsInstance(processor.feature_extractor				,    lowerCAmelCase__				)







						def 					__lowercase    (  self   :      Dict				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      List[Any]     					=			self.get_feature_extractor()
													SCREAMING_SNAKE_CASE					:      Tuple     					=			self.get_tokenizer()

													SCREAMING_SNAKE_CASE					:      Tuple     					=			ClapProcessor(tokenizer=lowerCAmelCase__				,    feature_extractor=lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			floats_list((3, 10_00)				)

													SCREAMING_SNAKE_CASE					:      Any     					=			feature_extractor(lowerCAmelCase__				,    return_tensors='''np'''				)
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			processor(audios=lowerCAmelCase__				,    return_tensors='''np'''				)

													for key in input_feat_extract.keys():
																				self.assertAlmostEqual(input_feat_extract[key].sum()				,    input_processor[key].sum()				,    delta=1e-2				)







						def 					__lowercase    (  self   :      Any				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Tuple     					=			self.get_feature_extractor()
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			self.get_tokenizer()

													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			ClapProcessor(tokenizer=lowerCAmelCase__				,    feature_extractor=lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      int     					=			'''This is a test string'''

													SCREAMING_SNAKE_CASE					:      int     					=			processor(text=lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			tokenizer(lowerCAmelCase__				)

													for key in encoded_tok.keys():
																				self.assertListEqual(encoded_tok[key]				,    encoded_processor[key]				)







						def 					__lowercase    (  self   :      Optional[Any]				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      str     					=			self.get_feature_extractor()
													SCREAMING_SNAKE_CASE					:      List[str]     					=			self.get_tokenizer()

													SCREAMING_SNAKE_CASE					:      Any     					=			ClapProcessor(tokenizer=lowerCAmelCase__				,    feature_extractor=lowerCAmelCase__				)

													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

													SCREAMING_SNAKE_CASE					:      Tuple     					=			processor.batch_decode(lowerCAmelCase__				)
													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			tokenizer.batch_decode(lowerCAmelCase__				)

													self.assertListEqual(lowerCAmelCase__				,    lowerCAmelCase__				)







						def 					__lowercase    (  self   :      Optional[Any]				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			self.get_feature_extractor()
													SCREAMING_SNAKE_CASE					:      str     					=			self.get_tokenizer()

													SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			ClapProcessor(tokenizer=lowerCAmelCase__				,    feature_extractor=lowerCAmelCase__				)

													self.assertListEqual(
													    processor.model_input_names[2:]				,    feature_extractor.model_input_names				,    msg='''`processor` and `feature_extractor` model input names do not match'''				,    )




