
"""simple docstring"""






import os
from shutil import copyfile
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


if TYPE_CHECKING:
				from transformers.pipelines.conversational import Conversation

__UpperCAmelCase 					=    logging.get_logger(__name__)

__UpperCAmelCase 					=    {'vocab_file': 'tokenizer.model'}

__UpperCAmelCase 					=    {
    'vocab_file': {
        'hf-internal-testing/llama-tokenizer': 'https://huggingface.co/hf-internal-testing/llama-tokenizer/resolve/main/tokenizer.model',
    },
    'tokenizer_file': {
        'hf-internal-testing/llama-tokenizer': 'https://huggingface.co/hf-internal-testing/llama-tokenizer/resolve/main/tokenizer_config.json',
    },
}
__UpperCAmelCase 					=    {
    'hf-internal-testing/llama-tokenizer': 20_48,
}
__UpperCAmelCase 					=    '▁'

__UpperCAmelCase					,					__UpperCAmelCase 					=    '[INST]', '[/INST]'
__UpperCAmelCase					,					__UpperCAmelCase 					=    '<<SYS>>\n', '\n<</SYS>>\n\n'

# fmt: off
__UpperCAmelCase 					=    'You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\\nanswers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\\nthat your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not\\ncorrect. If you don\'t know the answer to a question, please don\'t share false information.'




class      _SCREAMING_SNAKE_CASE   (     A__				):
			UpperCAmelCase_    :Tuple												=		VOCAB_FILES_NAMES
			UpperCAmelCase_    :Any												=		PRETRAINED_VOCAB_FILES_MAP
			UpperCAmelCase_    :int												=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCAmelCase_    :List[Any]												=		["input_ids", "attention_mask"]






			def __init__(   self			,  __A			,  __A="<unk>"			,  __A="<s>"			,  __A="</s>"			,  __A=None			,  __A = None			,  __A=True			,  __A=False			,  __A=False			,  __A=True			,  **__A			,  )     ->	Optional[int]:
						lowerCAmelCase_       :int     	=    {} if sp_model_kwargs is None else sp_model_kwargs
						lowerCAmelCase_       :Optional[Any]     	=    AddedToken(__A			,  lstrip=__A			,  rstrip=__A			) if isinstance(__A			,  __A			) else bos_token
						lowerCAmelCase_       :Union[str, Any]     	=    AddedToken(__A			,  lstrip=__A			,  rstrip=__A			) if isinstance(__A			,  __A			) else eos_token
						lowerCAmelCase_       :Tuple     	=    AddedToken(__A			,  lstrip=__A			,  rstrip=__A			) if isinstance(__A			,  __A			) else unk_token
						lowerCAmelCase_       :int     	=    AddedToken(__A			,  lstrip=__A			,  rstrip=__A			) if isinstance(__A			,  __A			) else pad_token
						super().__init__(
						    bos_token=__A			,  eos_token=__A			,  unk_token=__A			,  pad_token=__A			,  add_bos_token=__A			,  add_eos_token=__A			,  sp_model_kwargs=self.sp_model_kwargs			,  clean_up_tokenization_spaces=__A			,  legacy=__A			,  **__A			,  )
						if legacy:
									logger.warning_once(
									    f"""You are using the legacy behaviour of the {self.__class__}. This means that tokens that come after special tokens will not be properly handled. We recommend you to"""
									    """ read the related pull request available at https://github.com/huggingface/transformers/pull/24565"""			)
						lowerCAmelCase_       :List[Any]     	=    legacy
						lowerCAmelCase_       :List[str]     	=    vocab_file
						lowerCAmelCase_       :Optional[int]     	=    add_bos_token
						lowerCAmelCase_       :Optional[int]     	=    add_eos_token
						lowerCAmelCase_       :List[Any]     	=    spm.SentencePieceProcessor(**self.sp_model_kwargs			)
						self.sp_model.Load(__A			)






			def __getstate__(   self			)     ->	List[Any]:
						lowerCAmelCase_       :str     	=    self.__dict__.copy()
						lowerCAmelCase_       :Optional[int]     	=    None
						lowerCAmelCase_       :List[str]     	=    self.sp_model.serialized_model_proto()
						return state






			def __setstate__(   self			,  __A			)     ->	Tuple:
						lowerCAmelCase_       :Dict     	=    d
						lowerCAmelCase_       :str     	=    spm.SentencePieceProcessor(**self.sp_model_kwargs			)
						self.sp_model.LoadFromSerializedProto(self.sp_model_proto			)






			@property
			def 					__lowerCAmelCase					(   self			)     ->	str:
						return self.sp_model.get_piece_size()






			def 					__lowerCAmelCase					(   self			)     ->	Optional[int]:
						lowerCAmelCase_       :Dict     	=    {self.convert_ids_to_tokens(__A			): i for i in range(self.vocab_size			)}
						vocab.update(self.added_tokens_encoder			)
						return vocab






			def 					__lowerCAmelCase					(   self			,  __A			,  **__A			)     ->	List[str]:
						# Replace the SPIECE_UNDERLINE with a space to make sure SPIECE_UNDERLINE is only used at
						# the beginning of the text
						if not self.legacy:
									lowerCAmelCase_       :Any     	=    SPIECE_UNDERLINE + text.replace(__A			,  """ """			)
						return super().tokenize(__A			,  **__A			)






			def 					__lowerCAmelCase					(   self			,  __A			)     ->	Dict:
						if not self.legacy:
									lowerCAmelCase_       :Tuple     	=    text.startswith(__A			)
									if is_first:
												lowerCAmelCase_       :Optional[Any]     	=    text[1:]

						lowerCAmelCase_       :Optional[int]     	=    self.sp_model.encode(__A			,  out_type=__A			)

						if not self.legacy and not is_first and not text.startswith(""" """			) and tokens[0].startswith(__A			):
									lowerCAmelCase_       :Union[str, Any]     	=    ([tokens[0][1:]] if len(tokens[0]			) > 1 else []) + tokens[1:]
						return tokens






			def 					__lowerCAmelCase					(   self			,  __A			)     ->	Optional[Any]:
						return self.sp_model.piece_to_id(__A			)






			def 					__lowerCAmelCase					(   self			,  __A			)     ->	List[str]:
						lowerCAmelCase_       :Union[str, Any]     	=    self.sp_model.IdToPiece(__A			)
						return token






			def 					__lowerCAmelCase					(   self			,  __A			)     ->	Union[str, Any]:
						lowerCAmelCase_       :List[Any]     	=    []
						lowerCAmelCase_       :Dict     	=    """"""
						lowerCAmelCase_       :Optional[Any]     	=    False
						for i, token in enumerate(__A			):
									# make sure that special tokens are not decoded using sentencepiece model
									if token in self.all_special_tokens:
												if not prev_is_special and i != 0:
															out_string += " "
												out_string += self.sp_model.decode(__A			) + token
												lowerCAmelCase_       :Dict     	=    True
												lowerCAmelCase_       :Optional[int]     	=    []
									else:
												current_sub_tokens.append(__A			)
												lowerCAmelCase_       :Dict     	=    False
						out_string += self.sp_model.decode(__A			)
						return out_string






			def 					__lowerCAmelCase					(   self			,  __A			,  __A = None			)     ->	Tuple[str]:
						if not os.path.isdir(__A			):
									logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""			)
									return
						lowerCAmelCase_       :Union[str, Any]     	=    os.path.join(
						    __A			,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)

						if os.path.abspath(self.vocab_file			) != os.path.abspath(__A			) and os.path.isfile(self.vocab_file			):
									copyfile(self.vocab_file			,  __A			)
						elif not os.path.isfile(self.vocab_file			):
									with open(__A			,  """wb"""			) as fi:
												lowerCAmelCase_       :str     	=    self.sp_model.serialized_model_proto()
												fi.write(__A			)

						return (out_vocab_file,)






			def 					__lowerCAmelCase					(   self			,  __A			,  __A=None			)     ->	Optional[int]:
						lowerCAmelCase_       :List[str]     	=    [self.bos_token_id] if self.add_bos_token else []
						lowerCAmelCase_       :List[str]     	=    [self.eos_token_id] if self.add_eos_token else []

						lowerCAmelCase_       :Optional[int]     	=    bos_token_id + token_ids_a + eos_token_id

						if token_ids_a is not None:
									lowerCAmelCase_       :Optional[int]     	=    output + bos_token_id + token_ids_a + eos_token_id

						return output






			def 					__lowerCAmelCase					(   self			,  __A			,  __A = None			,  __A = 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			)

						lowerCAmelCase_       :Optional[int]     	=    [1] if self.add_bos_token else []
						lowerCAmelCase_       :List[str]     	=    [1] if self.add_eos_token else []

						if token_ids_a is None:
									return bos_token_id + ([0] * len(__A			)) + eos_token_id
						return (
						    bos_token_id
						    + ([0] * len(__A			))
						    + eos_token_id
						    + bos_token_id
						    + ([0] * len(__A			))
						    + eos_token_id
						)






			def 					__lowerCAmelCase					(   self			,  __A			,  __A = None			)     ->	List[int]:
						lowerCAmelCase_       :Any     	=    [self.bos_token_id] if self.add_bos_token else []
						lowerCAmelCase_       :List[Any]     	=    [self.eos_token_id] if self.add_eos_token else []

						lowerCAmelCase_       :int     	=    [0] * len(bos_token_id + token_ids_a + eos_token_id			)

						if token_ids_a is not None:
									output += [1] * len(bos_token_id + token_ids_a + eos_token_id			)

						return output






			def 					__lowerCAmelCase					(   self			,  __A			)     ->	List[int]:
						lowerCAmelCase_       :Union[str, Any]     	=    list(conversation.iter_texts()			)
						if not all([is_user for is_user, msg in dialogue[::2]]			) or not all(
						    [not is_user for is_user, msg in dialogue[1::2]]			):
									raise ValueError(
									    """The model only supports 'user' and 'assistant' roles, starting with user and alternating (u/a/u/a/u...)"""			)

						lowerCAmelCase_       :List[int]     	=    []
						if len(conversation.past_user_inputs			) > 0:
									if not conversation.past_user_inputs[0].startswith(__A			) or E_SYS not in conversation.past_user_inputs[0]:
												lowerCAmelCase_       :str     	=    (
												    B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
												)
						elif not dialogue[0][1].startswith(__A			) or E_SYS not in dialogue[0][1]:
									lowerCAmelCase_       :Union[str, Any]     	=    (dialogue[0][0], B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + dialogue[0][1])

						dialog_tokens += sum(
						    [
						        [self.bos_token_id]
						        + self.encode(
						            f"""{B_INST} {(prompt[1]).strip()} {E_INST} {(answer[1]).strip()} """			,  add_special_tokens=__A			)
						        + [self.eos_token_id]
						        for prompt, answer in zip(dialogue[::2]			,  dialogue[1::2]			)
						    ]			,  []			,  )
						if not (dialogue[-1][0]):
									raise ValueError(f"""Last message must be from user, got {dialogue[-1]["role"]}"""			)
						dialog_tokens += [self.bos_token_id] + self.encode(
						    f"""{B_INST} {(dialogue[-1][1]).strip()} {E_INST}"""			,  add_special_tokens=__A			)
						return dialog_tokens








"""simple docstring"""






from __future__ import annotations

from typing import Generic, TypeVar

__UpperCAmelCase 					=    TypeVar('T')




class      _SCREAMING_SNAKE_CASE   (     A__				):
			pass




class      _SCREAMING_SNAKE_CASE   (     A__				):
			pass




class      _SCREAMING_SNAKE_CASE   (     Generic[T]				):






			def __init__(   self			,  __A = 10			)     ->	Optional[int]:
						lowerCAmelCase_       :list[T]     	=    []
						lowerCAmelCase_       :int     	=    limit






			def __bool__(   self			)     ->	bool:
						return bool(self.stack			)






			def __str__(   self			)     ->	str:
						return str(self.stack			)






			def 					__lowerCAmelCase					(   self			,  __A			)     ->	None:
						if len(self.stack			) >= self.limit:
									raise StackOverflowError
						self.stack.append(__A			)






			def 					__lowerCAmelCase					(   self			)     ->	T:
						if not self.stack:
									raise StackUnderflowError
						return self.stack.pop()






			def 					__lowerCAmelCase					(   self			)     ->	T:
						if not self.stack:
									raise StackUnderflowError
						return self.stack[-1]






			def 					__lowerCAmelCase					(   self			)     ->	bool:
						return not bool(self.stack			)






			def 					__lowerCAmelCase					(   self			)     ->	bool:
						return self.size() == self.limit






			def 					__lowerCAmelCase					(   self			)     ->	int:
						return len(self.stack			)






			def __contains__(   self			,  __A			)     ->	bool:
						return item in self.stack






def 		_snake_case			(      )    ->							None:


			'''simple docstring'''





			lowerCAmelCase_       :Stack[int]     	=    Stack(1_0						)
			assert bool(lowercase__						) is False
			assert stack.is_empty() is True
			assert stack.is_full() is False
			assert str(lowercase__						) == "[]"

			try:
						lowerCAmelCase_       :Optional[Any]     	=    stack.pop()
						raise AssertionError  # This should not happen
			except StackUnderflowError:
						assert True  # This should happen

			try:
						lowerCAmelCase_       :Optional[int]     	=    stack.peek()
						raise AssertionError  # This should not happen
			except StackUnderflowError:
						assert True  # This should happen

			for i in range(1_0						):
						assert stack.size() == i
						stack.push(lowercase__						)

			assert bool(lowercase__						)
			assert not stack.is_empty()
			assert stack.is_full()
			assert str(lowercase__						) == str(list(range(1_0						)						)						)
			assert stack.pop() == 9
			assert stack.peek() == 8

			stack.push(1_0_0						)
			assert str(lowercase__						) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 1_0_0]						)

			try:
						stack.push(2_0_0						)
						raise AssertionError  # This should not happen
			except StackOverflowError:
						assert True  # This should happen

			assert not stack.is_empty()
			assert stack.size() == 1_0

			assert 5 in stack
			assert 5_5 not in stack


if __name__ == "__main__":
				test_stack()






