



'''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					:      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'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase_     :       str								=						{
    'configuration_llama': ['LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LlamaConfig'],
}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_     :       Dict								=						['LlamaTokenizer']

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_     :       str								=						['LlamaTokenizerFast']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_     :       Optional[int]								=						[
							    'LlamaForCausalLM',
							    'LlamaModel',
							    'LlamaPreTrainedModel',
							    'LlamaForSequenceClassification',
							]


if TYPE_CHECKING:
							from .configuration_llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_llama import LlamaTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_llama_fast import LlamaTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel


else:
							import sys

							lowerCAmelCase_     :       Optional[Any]								=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




