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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__UpperCamelCase	: Any    		=  logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
__UpperCamelCase	: Any    		=  {
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
}

__UpperCamelCase	: List[str]    		=  {
    'facebook/bart-base': 1024,
    'facebook/bart-large': 1024,
    'facebook/bart-large-mnli': 1024,
    'facebook/bart-large-cnn': 1024,
    'facebook/bart-large-xsum': 1024,
    'yjernite/bart_eli5': 1024,
}
@lru_cache()
def    A			(					):
						SCREAMING_SNAKE_CASE							:					Dict           =							(
						    list(range(ord('''!'''		)	,						ord('''~'''		) + 1		)		) + list(range(ord('''¡'''		)	,						ord('''¬'''		) + 1		)		) + list(range(ord('''®'''		)	,						ord('''ÿ'''		) + 1		)		)
						)
						SCREAMING_SNAKE_CASE							:					Dict           =							bs[:]
						SCREAMING_SNAKE_CASE							:					str           =							0
						for b in range(2**8		):
												if b not in bs:
																		bs.append(_lowercase		)
																		cs.append(2**8 + n		)
																		n += 1
						SCREAMING_SNAKE_CASE							:					str           =							[chr(_lowercase		) for n in cs]
						return dict(zip(_lowercase	,						_lowercase		)		)
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Optional[Any]           =							set()
						SCREAMING_SNAKE_CASE							:					Dict           =							word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)		)
												SCREAMING_SNAKE_CASE							:					List[Any]           =							char
						return pairs





class       lowercase__		(     UpperCamelCase_):
						UpperCamelCase_  =	VOCAB_FILES_NAMES
						UpperCamelCase_  =	PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase_  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase_  =	["""input_ids""", """attention_mask"""]


						def __init__( self			:       List[str]					,	UpperCamelCase__			:       int					,	UpperCamelCase__			:       Dict					,	UpperCamelCase__			:       Union[str, Any]="replace"					,	UpperCamelCase__			:       Any="<s>"					,	UpperCamelCase__			:       List[str]="</s>"					,	UpperCamelCase__			:       Optional[Any]="</s>"					,	UpperCamelCase__			:       Union[str, Any]="<s>"					,	UpperCamelCase__			:       Dict="<unk>"					,	UpperCamelCase__			:       Union[str, Any]="<pad>"					,	UpperCamelCase__			:       List[str]="<mask>"					,	UpperCamelCase__			:       int=False					,	**UpperCamelCase__			:       Union[str, Any]					,	):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					List[Any]           =							AddedToken(UpperCamelCase__					,	lstrip=UpperCamelCase__					,	rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,	UpperCamelCase__		) else bos_token
												SCREAMING_SNAKE_CASE							:					int           =							AddedToken(UpperCamelCase__					,	lstrip=UpperCamelCase__					,	rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,	UpperCamelCase__		) else eos_token
												SCREAMING_SNAKE_CASE							:					Dict           =							AddedToken(UpperCamelCase__					,	lstrip=UpperCamelCase__					,	rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,	UpperCamelCase__		) else sep_token
												SCREAMING_SNAKE_CASE							:					int           =							AddedToken(UpperCamelCase__					,	lstrip=UpperCamelCase__					,	rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,	UpperCamelCase__		) else cls_token
												SCREAMING_SNAKE_CASE							:					List[Any]           =							AddedToken(UpperCamelCase__					,	lstrip=UpperCamelCase__					,	rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,	UpperCamelCase__		) else unk_token
												SCREAMING_SNAKE_CASE							:					int           =							AddedToken(UpperCamelCase__					,	lstrip=UpperCamelCase__					,	rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,	UpperCamelCase__		) else pad_token

												# Mask token behave like a normal word, i.e. include the space before it
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							AddedToken(UpperCamelCase__					,	lstrip=UpperCamelCase__					,	rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__					,	UpperCamelCase__		) else mask_token

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

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

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


						@property
						def  __A ( self			:       Dict		):





												'''simple docstring'''





												return len(self.encoder		)


						def  __A ( self			:       str		):





												'''simple docstring'''





												return dict(self.encoder					,	**self.added_tokens_encoder		)


						def  __A ( self			:       str					,	UpperCamelCase__			:       Optional[Any]		):





												'''simple docstring'''





												if token in self.cache:
																		return self.cache[token]
												SCREAMING_SNAKE_CASE							:					str           =							tuple(UpperCamelCase__		)
												SCREAMING_SNAKE_CASE							:					Optional[int]           =							get_pairs(UpperCamelCase__		)

												if not pairs:
																		return token

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

																								if word[i] == first and i < len(UpperCamelCase__		) - 1 and word[i + 1] == second:
																														new_word.append(first + second		)
																														i += 2
																								else:
																														new_word.append(word[i]		)
																														i += 1
																		SCREAMING_SNAKE_CASE							:					Any           =							tuple(UpperCamelCase__		)
																		SCREAMING_SNAKE_CASE							:					int           =							new_word
																		if len(UpperCamelCase__		) == 1:
																								break
																		else:
																								SCREAMING_SNAKE_CASE							:					List[Any]           =							get_pairs(UpperCamelCase__		)
												SCREAMING_SNAKE_CASE							:					Any           =							''' '''.join(UpperCamelCase__		)
												SCREAMING_SNAKE_CASE							:					List[Any]           =							word
												return word


						def  __A ( self			:       Tuple					,	UpperCamelCase__			:       Any		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Dict           =							[]
												for token in re.findall(self.pat					,	UpperCamelCase__		):
																		SCREAMING_SNAKE_CASE							:					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(UpperCamelCase__		).split(''' '''		)		)
												return bpe_tokens


						def  __A ( self			:       List[Any]					,	UpperCamelCase__			:       Union[str, Any]		):





												'''simple docstring'''





												return self.encoder.get(UpperCamelCase__					,	self.encoder.get(self.unk_token		)		)


						def  __A ( self			:       Dict					,	UpperCamelCase__			:       List[Any]		):





												'''simple docstring'''





												return self.decoder.get(UpperCamelCase__		)


						def  __A ( self			:       str					,	UpperCamelCase__			:       str		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							''''''.join(UpperCamelCase__		)
												SCREAMING_SNAKE_CASE							:					Dict           =							bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8'''					,	errors=self.errors		)
												return text


						def  __A ( self			:       Optional[Any]					,	UpperCamelCase__			:       str					,	UpperCamelCase__			:       Optional[str] = None		):





												'''simple docstring'''





												if not os.path.isdir(UpperCamelCase__		):
																		logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
																		return
												SCREAMING_SNAKE_CASE							:					Any           =							os.path.join(
												    UpperCamelCase__					,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
												SCREAMING_SNAKE_CASE							:					Dict           =							os.path.join(
												    UpperCamelCase__					,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']		)

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

												SCREAMING_SNAKE_CASE							:					List[Any]           =							0
												with open(UpperCamelCase__					,	'''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 UpperCamelCase__		: 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!'''		)
																														SCREAMING_SNAKE_CASE							:					Optional[Any]           =							token_index
																								writer.write(''' '''.join(UpperCamelCase__		) + '''\n'''		)
																								index += 1

												return vocab_file, merge_file


						def  __A ( self			:       Any					,	UpperCamelCase__			:       List[int]					,	UpperCamelCase__			:       Optional[List[int]] = None		):





												'''simple docstring'''





												if token_ids_a is None:
																		return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
												SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							[self.cls_token_id]
												SCREAMING_SNAKE_CASE							:					List[Any]           =							[self.sep_token_id]
												return cls + token_ids_a + sep + sep + token_ids_a + sep


						def  __A ( self			:       str					,	UpperCamelCase__			:       List[int]					,	UpperCamelCase__			:       Optional[List[int]] = None					,	UpperCamelCase__			:       bool = False		):





												'''simple docstring'''





												if already_has_special_tokens:
																		return super().get_special_tokens_mask(
																		    token_ids_a=UpperCamelCase__					,	token_ids_a=UpperCamelCase__					,	already_has_special_tokens=UpperCamelCase__		)

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


						def  __A ( self			:       Optional[int]					,	UpperCamelCase__			:       List[int]					,	UpperCamelCase__			:       Optional[List[int]] = None		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Tuple           =							[self.sep_token_id]
												SCREAMING_SNAKE_CASE							:					Optional[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  __A ( self			:       str					,	UpperCamelCase__			:       Any					,	UpperCamelCase__			:       int=False					,	**UpperCamelCase__			:       int		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					Dict           =							kwargs.pop('''add_prefix_space'''					,	self.add_prefix_space		)
												if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__		) > 0 and not text[0].isspace()):
																		SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							''' ''' + text
												return (text, kwargs)






# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse

from ...utils.dataclasses import (
    ComputeEnvironment,
    DistributedType,
    DynamoBackend,
    PrecisionType,
    SageMakerDistributedType,
)
from ..menu import BulletMenu


__UpperCamelCase	: Dict    		=  [
    'EAGER',
    'AOT_EAGER',
    'INDUCTOR',
    'NVFUSER',
    'AOT_NVFUSER',
    'AOT_CUDAGRAPHS',
    'OFI',
    'FX2TRT',
    'ONNXRT',
    'IPEX',
]
def    A			(					_lowercase	,						_lowercase=None	,						_lowercase=None	,						_lowercase=None		):
						SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							True
						while ask_again:
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							input(_lowercase		)
												try:
																		if default is not None and len(_lowercase		) == 0:
																								return default
																		return convert_value(_lowercase		) if convert_value is not None else result
												except Exception:
																		if error_message is not None:
																								print(_lowercase		)
def    A			(					_lowercase	,						_lowercase=[]	,						_lowercase=None	,						_lowercase=0		):
						SCREAMING_SNAKE_CASE							:					Dict           =							BulletMenu(_lowercase	,						_lowercase		)
						SCREAMING_SNAKE_CASE							:					str           =							menu.run(default_choice=_lowercase		)
						return convert_value(_lowercase		) if convert_value is not None else result
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Dict           =							int(_lowercase		)
						return ComputeEnvironment(['''LOCAL_MACHINE''', '''AMAZON_SAGEMAKER'''][value]		)
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Any           =							int(_lowercase		)
						return DistributedType(['''NO''', '''MULTI_CPU''', '''MULTI_XPU''', '''MULTI_GPU''', '''MULTI_NPU''', '''TPU'''][value]		)
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							int(_lowercase		)
						return DynamoBackend(DYNAMO_BACKENDS[value]		).value
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Union[str, Any]           =							int(_lowercase		)
						return PrecisionType(['''no''', '''fp16''', '''bf16''', '''fp8'''][value]		)
def    A			(					_lowercase		):
						SCREAMING_SNAKE_CASE							:					Dict           =							int(_lowercase		)
						return SageMakerDistributedType(['''NO''', '''DATA_PARALLEL''', '''MODEL_PARALLEL'''][value]		)
def    A			(					_lowercase		):
						return {"yes": True, "no": False}[value.lower()]





class       lowercase__		(     argparse.RawDescriptionHelpFormatter):


						def  __A ( self			:       List[str]					,	UpperCamelCase__			:       List[str]					,	UpperCamelCase__			:       Dict					,	UpperCamelCase__			:       Dict					,	UpperCamelCase__			:       Dict		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:					str           =							super()._format_usage(UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__					,	UpperCamelCase__		)
												SCREAMING_SNAKE_CASE							:					Optional[Any]           =							usage.replace('''<command> [<args>] '''					,	''''''		)
												return usage





