
import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


__lowercase											=      logging.get_logger(__name__)


__lowercase											=      {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all LED models at https://huggingface.co/models?filter=LED
__lowercase											=      {
    '''vocab_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json''',
    },
}

__lowercase											=      {
    '''allenai/led-base-16384''': 1_6384,
}



@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Union[str, Any]    						=	(
        list(range(ord('''!'''			)						,    ord('''~'''			) + 1			)			) + list(range(ord('''¡'''			)						,    ord('''¬'''			) + 1			)			) + list(range(ord('''®'''			)						,    ord('''ÿ'''			) + 1			)			)
    )
    __UpperCamelCase  :List[str]    						=	bs[:]
    __UpperCamelCase  :str    						=	0
    for b in range(2**8			):
        if b not in bs:
            bs.append(lowercase_			)
            cs.append(2**8 + n			)
            n += 1
    __UpperCamelCase  :str    						=	[chr(lowercase_			) for n in cs]
    return dict(zip(lowercase_						,    lowercase_			)			)



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :Dict    						=	set()
    __UpperCamelCase  :Optional[Any]    						=	word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)			)
        __UpperCamelCase  :Dict    						=	char
    return pairs


class 			lowerCamelCase_  (     _UpperCamelCase				):






    '''simple docstring'''






    a__			:		Optional[int]      			=   VOCAB_FILES_NAMES
    a__			:		Union[str, Any]      			=   PRETRAINED_VOCAB_FILES_MAP
    a__			:		Tuple      			=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__			:		Optional[int]      			=   ["input_ids", "attention_mask"]







    def __init__(			self				,				__lowercase				,				__lowercase				,				__lowercase="replace"				,				__lowercase="<s>"				,				__lowercase="</s>"				,				__lowercase="</s>"				,				__lowercase="<s>"				,				__lowercase="<unk>"				,				__lowercase="<pad>"				,				__lowercase="<mask>"				,				__lowercase=False				,				**__lowercase				,				) ->			str:
        __UpperCamelCase  :Tuple    						=	AddedToken(__a				,				lstrip=__a				,				rstrip=__a) if isinstance(__a				,				__a) else bos_token
        __UpperCamelCase  :List[str]    						=	AddedToken(__a				,				lstrip=__a				,				rstrip=__a) if isinstance(__a				,				__a) else eos_token
        __UpperCamelCase  :Tuple    						=	AddedToken(__a				,				lstrip=__a				,				rstrip=__a) if isinstance(__a				,				__a) else sep_token
        __UpperCamelCase  :str    						=	AddedToken(__a				,				lstrip=__a				,				rstrip=__a) if isinstance(__a				,				__a) else cls_token
        __UpperCamelCase  :Any    						=	AddedToken(__a				,				lstrip=__a				,				rstrip=__a) if isinstance(__a				,				__a) else unk_token
        __UpperCamelCase  :List[Any]    						=	AddedToken(__a				,				lstrip=__a				,				rstrip=__a) if isinstance(__a				,				__a) else pad_token

        # Mask token behave like a normal word, i.e. include the space before it
        __UpperCamelCase  :int    						=	AddedToken(__a				,				lstrip=__a				,				rstrip=__a) if isinstance(__a				,				__a) else mask_token

        super().__init__(
            errors=__a				,				bos_token=__a				,				eos_token=__a				,				unk_token=__a				,				sep_token=__a				,				cls_token=__a				,				pad_token=__a				,				mask_token=__a				,				add_prefix_space=__a				,				**__a				,				)

        with open(__a				,				encoding='''utf-8''') as vocab_handle:
            __UpperCamelCase  :int    						=	json.load(__a)
        __UpperCamelCase  :str    						=	{v: k for k, v in self.encoder.items()}
        __UpperCamelCase  :int    						=	errors  # how to handle errors in decoding
        __UpperCamelCase  :str    						=	bytes_to_unicode()
        __UpperCamelCase  :Optional[Any]    						=	{v: k for k, v in self.byte_encoder.items()}
        with open(__a				,				encoding='''utf-8''') as merges_handle:
            __UpperCamelCase  :List[Any]    						=	merges_handle.read().split('''\n''')[1:-1]
        __UpperCamelCase  :Optional[int]    						=	[tuple(merge.split()) for merge in bpe_merges]
        __UpperCamelCase  :List[Any]    						=	dict(zip(__a				,				range(len(__a))))
        __UpperCamelCase  :Any    						=	{}
        __UpperCamelCase  :List[Any]    						=	add_prefix_space

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        __UpperCamelCase  :Optional[Any]    						=	re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+''')







    @property
    # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
    def     UpperCamelCase__     (			self) ->			Optional[Any]:
        return len(self.encoder)







    def     UpperCamelCase__     (			self) ->			Tuple:
        return dict(self.encoder				,				**self.added_tokens_encoder)







    def     UpperCamelCase__     (			self				,				__lowercase) ->			Tuple:
        if token in self.cache:
            return self.cache[token]
        __UpperCamelCase  :Optional[int]    						=	tuple(__a)
        __UpperCamelCase  :List[Any]    						=	get_pairs(__a)

        if not pairs:
            return token

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

                if word[i] == first and i < len(__a) - 1 and word[i + 1] == second:
                    new_word.append(first + second)
                    i += 2
                else:
                    new_word.append(word[i])
                    i += 1
            __UpperCamelCase  :str    						=	tuple(__a)
            __UpperCamelCase  :Optional[int]    						=	new_word
            if len(__a) == 1:
                break
            else:
                __UpperCamelCase  :Any    						=	get_pairs(__a)
        __UpperCamelCase  :str    						=	" ".join(__a)
        __UpperCamelCase  :Dict    						=	word
        return word







    def     UpperCamelCase__     (			self				,				__lowercase) ->			Tuple:
        __UpperCamelCase  :str    						=	[]
        for token in re.findall(self.pat				,				__a):
            __UpperCamelCase  :List[str]    						=	"".join(
                self.byte_encoder[b] for b in token.encode('''utf-8'''))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
            bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__a).split(''' '''))
        return bpe_tokens







    def     UpperCamelCase__     (			self				,				__lowercase) ->			Tuple:
        return self.encoder.get(__a				,				self.encoder.get(self.unk_token))







    def     UpperCamelCase__     (			self				,				__lowercase) ->			Union[str, Any]:
        return self.decoder.get(__a)







    def     UpperCamelCase__     (			self				,				__lowercase) ->			str:
        __UpperCamelCase  :Tuple    						=	"".join(__a)
        __UpperCamelCase  :List[Any]    						=	bytearray([self.byte_decoder[c] for c in text]).decode('''utf-8'''				,				errors=self.errors)
        return text







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase = None) ->			Tuple[str]:
        if not os.path.isdir(__a):
            logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
            return
        __UpperCamelCase  :Tuple    						=	os.path.join(
            __a				,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])
        __UpperCamelCase  :Dict    						=	os.path.join(
            __a				,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''])

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

        __UpperCamelCase  :str    						=	0
        with open(__a				,				'''w'''				,				encoding='''utf-8''') as writer:
            writer.write('''#version: 0.2\n''')
            for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,				key=lambda __lowercase: kv[1]):
                if index != token_index:
                    logger.warning(
                        f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                        ''' Please check that the tokenizer is not corrupted!''')
                    __UpperCamelCase  :Union[str, Any]    						=	token_index
                writer.write(''' '''.join(__a) + '''\n''')
                index += 1

        return vocab_file, merge_file







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase = None) ->			List[int]:
        if token_ids_a is None:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        __UpperCamelCase  :Tuple    						=	[self.cls_token_id]
        __UpperCamelCase  :List[Any]    						=	[self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase = None				,				__lowercase = False) ->			List[int]:
        if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=__a				,				token_ids_a=__a				,				already_has_special_tokens=__a)

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







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase = None) ->			List[int]:
        __UpperCamelCase  :Optional[int]    						=	[self.sep_token_id]
        __UpperCamelCase  :List[Any]    						=	[self.cls_token_id]

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







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase=False				,				**__lowercase) ->			List[Any]:
        __UpperCamelCase  :Optional[Any]    						=	kwargs.pop('''add_prefix_space'''				,				self.add_prefix_space)
        if (is_split_into_words or add_prefix_space) and (len(__a) > 0 and not text[0].isspace()):
            __UpperCamelCase  :List[Any]    						=	" " + text
        return (text, kwargs)







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase = None				,				__lowercase = PaddingStrategy.DO_NOT_PAD				,				__lowercase = None				,				__lowercase = None				,				) ->			dict:
        __UpperCamelCase  :Any    						=	super()._pad(
            encoded_inputs=__a				,				max_length=__a				,				padding_strategy=__a				,				pad_to_multiple_of=__a				,				return_attention_mask=__a				,				)

        # Load from model defaults
        if return_attention_mask is None:
            __UpperCamelCase  :str    						=	"attention_mask" in self.model_input_names

        if return_attention_mask and "global_attention_mask" in encoded_inputs:
            __UpperCamelCase  :Dict    						=	encoded_inputs[self.model_input_names[0]]
            # `global_attention_mask` need to have the same length as other (sequential) inputs.
            __UpperCamelCase  :str    						=	len(encoded_inputs['''global_attention_mask''']) != len(__a)

            if needs_to_be_padded:
                __UpperCamelCase  :List[str]    						=	len(__a) - len(encoded_inputs['''global_attention_mask'''])

                if self.padding_side == "right":
                    # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                    __UpperCamelCase  :str    						=	(
                        encoded_inputs["global_attention_mask"] + [-1] * difference
                    )
                elif self.padding_side == "left":
                    __UpperCamelCase  :List[Any]    						=	[-1] * difference + encoded_inputs[
                        "global_attention_mask"
                    ]
                else:
                    raise ValueError('''Invalid padding strategy:''' + str(self.padding_side))

        return encoded_inputs






from typing import List

import datasets
from datasets.tasks import AudioClassification

from ..folder_based_builder import folder_based_builder


__lowercase											=      datasets.utils.logging.get_logger(__name__)


class 			lowerCamelCase_  (     folder_based_builder.FolderBasedBuilderConfig				):






    '''simple docstring'''






    a__			:		bool      			=   None
    a__			:		bool      			=   None


class 			lowerCamelCase_  (     folder_based_builder.FolderBasedBuilder				):






    '''simple docstring'''






    a__			:		List[Any]      			=   datasets.Audio()
    a__			:		int      			=   """audio"""
    a__			:		str      			=   AudioFolderConfig
    a__			:		List[str]  # definition at the bottom of the script
    a__			:		int      			=   AudioClassification(audio_column="""audio"""		,			label_column="""label"""				)
__lowercase											=      [
    '''.aiff''',
    '''.au''',
    '''.avr''',
    '''.caf''',
    '''.flac''',
    '''.htk''',
    '''.svx''',
    '''.mat4''',
    '''.mat5''',
    '''.mpc2k''',
    '''.ogg''',
    '''.paf''',
    '''.pvf''',
    '''.raw''',
    '''.rf64''',
    '''.sd2''',
    '''.sds''',
    '''.ircam''',
    '''.voc''',
    '''.w64''',
    '''.wav''',
    '''.nist''',
    '''.wavex''',
    '''.wve''',
    '''.xi''',
    '''.mp3''',
    '''.opus''',
]
__lowercase											=      AUDIO_EXTENSIONS





