

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

import regex as re

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


if TYPE_CHECKING:
							from transformers.pipelines.conversational import Conversation

lowerCAmelCase__             =		logging.get_logger(__name__)

lowerCAmelCase__             =		{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

lowerCAmelCase__             =		{
    """vocab_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/vocab.json""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/vocab.json""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/vocab.json""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/vocab.json""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/merges.txt""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/merges.txt""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/merges.txt""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/merges.txt""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/merges.txt""",
    },
}

lowerCAmelCase__             =		{
    """gpt2""": 1_0_2_4,
    """gpt2-medium""": 1_0_2_4,
    """gpt2-large""": 1_0_2_4,
    """gpt2-xl""": 1_0_2_4,
    """distilgpt2""": 1_0_2_4,
}






@lru_cache()
def        lowerCamelCase_  (				)    ->					Optional[int]:




	'''simple docstring'''




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






def        lowerCamelCase_  (				UpperCAmelCase_				:  Any						)    ->					Dict:




	'''simple docstring'''




	_UpperCamelCase :		List[str]								=    set()
	_UpperCamelCase :		List[Any]								=    word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)						)
		_UpperCamelCase :		str								=    char
	return pairs







class 						lowercase     (					_lowercase				):


		"""simple docstring"""




		a__       							=	VOCAB_FILES_NAMES
		a__       							=	PRETRAINED_VOCAB_FILES_MAP
		a__       							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a__       							=	["input_ids", "attention_mask"]


		def __init__(					self						,							__snake_case						,							__snake_case						,							__snake_case="replace"						,							__snake_case="<|endoftext|>"						,							__snake_case="<|endoftext|>"						,							__snake_case="<|endoftext|>"						,							__snake_case=None						,							__snake_case=False						,							__snake_case=False						,							**__snake_case						,							):
			_UpperCamelCase :		int								=    AddedToken(__snake_case						,							lstrip=__snake_case						,							rstrip=__snake_case) if isinstance(__snake_case						,							__snake_case) else bos_token
			_UpperCamelCase :		Tuple								=    AddedToken(__snake_case						,							lstrip=__snake_case						,							rstrip=__snake_case) if isinstance(__snake_case						,							__snake_case) else eos_token
			_UpperCamelCase :		List[Any]								=    AddedToken(__snake_case						,							lstrip=__snake_case						,							rstrip=__snake_case) if isinstance(__snake_case						,							__snake_case) else unk_token
			_UpperCamelCase :		Optional[int]								=    AddedToken(__snake_case						,							lstrip=__snake_case						,							rstrip=__snake_case) if isinstance(__snake_case						,							__snake_case) else pad_token
			super().__init__(
			    errors=__snake_case						,							unk_token=__snake_case						,							bos_token=__snake_case						,							eos_token=__snake_case						,							pad_token=__snake_case						,							add_prefix_space=__snake_case						,							add_bos_token=__snake_case						,							**__snake_case						,							)
			_UpperCamelCase :		Dict								=    add_bos_token

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

			# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
			_UpperCamelCase :		List[Any]								=    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):
			return len(self.encoder)


		def 		A__       (					self):
			return dict(self.encoder						,							**self.added_tokens_encoder)


		def 		A__       (					self						,							__snake_case):
			if token in self.cache:
				return self.cache[token]
			_UpperCamelCase :		Union[str, Any]								=    tuple(__snake_case)
			_UpperCamelCase :		Optional[int]								=    get_pairs(__snake_case)

			if not pairs:
				return token

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

					if word[i] == first and i < len(__snake_case) - 1 and word[i + 1] == second:
						new_word.append(first + second)
						i += 2
					else:
						new_word.append(word[i])
						i += 1
				_UpperCamelCase :		Tuple								=    tuple(__snake_case)
				_UpperCamelCase :		Dict								=    new_word
				if len(__snake_case) == 1:
					break
				else:
					_UpperCamelCase :		Tuple								=    get_pairs(__snake_case)
			_UpperCamelCase :		Any								=    ' '.join(__snake_case)
			_UpperCamelCase :		str								=    word
			return word


		def 		A__       (					self						,							__snake_case						,							__snake_case=None):
			if self.add_bos_token:
				_UpperCamelCase :		List[str]								=    [self.bos_token_id]
			else:
				_UpperCamelCase :		List[str]								=    []

			_UpperCamelCase :		Optional[Any]								=    bos_token_ids + token_ids_a

			if token_ids_a is None:
				return output

			return output + bos_token_ids + token_ids_a


		def 		A__       (					self						,							__snake_case						,							__snake_case = None						,							__snake_case = False):
			if already_has_special_tokens:
				return super().get_special_tokens_mask(
				    token_ids_a=__snake_case						,							token_ids_a=__snake_case						,							already_has_special_tokens=__snake_case)

			if not self.add_bos_token:
				return super().get_special_tokens_mask(
				    token_ids_a=__snake_case						,							token_ids_a=__snake_case						,							already_has_special_tokens=__snake_case)

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


		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		List[Any]								=    []
			for token in re.findall(self.pat						,							__snake_case):
				_UpperCamelCase :		Optional[Any]								=    ''.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(__snake_case).split(' '))
			return bpe_tokens


		def 		A__       (					self						,							__snake_case):
			return self.encoder.get(__snake_case						,							self.encoder.get(self.unk_token))


		def 		A__       (					self						,							__snake_case):
			return self.decoder.get(__snake_case)


		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		Optional[Any]								=    ''.join(__snake_case)
			_UpperCamelCase :		int								=    bytearray([self.byte_decoder[c] for c in text]).decode('utf-8'						,							errors=self.errors)
			return text


		def 		A__       (					self						,							__snake_case						,							__snake_case = None):
			if not os.path.isdir(__snake_case):
				logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
				return
			_UpperCamelCase :		List[Any]								=    os.path.join(
			    __snake_case						,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
			_UpperCamelCase :		str								=    os.path.join(
			    __snake_case						,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

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

			_UpperCamelCase :		str								=    0
			with open(__snake_case						,							'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 __snake_case: 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 :		Optional[int]								=    token_index
					writer.write(' '.join(__snake_case) + '\n')
					index += 1

			return vocab_file, merge_file


		def 		A__       (					self						,							__snake_case						,							__snake_case=False						,							**__snake_case):
			_UpperCamelCase :		Optional[int]								=    kwargs.pop('add_prefix_space'						,							self.add_prefix_space)
			if is_split_into_words or add_prefix_space:
				_UpperCamelCase :		str								=    ' ' + text
			return (text, kwargs)






		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		str								=    []
			for is_user, text in conversation.iter_texts():
				input_ids.extend(self.encode(__snake_case						,							add_special_tokens=__snake_case) + [self.eos_token_id])
			if len(__snake_case) > self.model_max_length:
				_UpperCamelCase :		Any								=    input_ids[-self.model_max_length :]
			return input_ids







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase__             =		{"""configuration_vit_hybrid""": ["""VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTHybridConfig"""]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__             =		[
							    """VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """ViTHybridForImageClassification""",
							    """ViTHybridModel""",
							    """ViTHybridPreTrainedModel""",
							]

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__             =		["""ViTHybridImageProcessor"""]


if TYPE_CHECKING:
							from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vit_hybrid import (
														    VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ViTHybridForImageClassification,
														    ViTHybridModel,
														    ViTHybridPreTrainedModel,
														)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
							import sys

							lowerCAmelCase__             =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




