

"""simple docstring"""





import os
from shutil import copyfile
from typing import TYPE_CHECKING, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
from ...utils.versions import require_version


if TYPE_CHECKING:
   from transformers.pipelines.conversational import Conversation

require_version('tokenizers>=0.13.3')

if is_sentencepiece_available():
   from .tokenization_llama import LlamaTokenizer
else:
   _a				   =							None

_a				   =							logging.get_logger(__name__)
_a				   =							{'vocab_file': 'tokenizer.model', 'tokenizer_file': 'tokenizer.json'}

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

# fmt: off
_a				   =							'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       _lowerCAmelCase						(			lowercase     ):







 """simple docstring"""







 __UpperCAmelCase			:      Dict     	=			VOCAB_FILES_NAMES
 __UpperCAmelCase			:      List[str]     	=			LlamaTokenizer
 __UpperCAmelCase			:      Tuple     	=			"left"
 __UpperCAmelCase			:      Optional[Any]     	=			["input_ids", "attention_mask"]


 def __init__(    self							:    List[str],      UpperCAmelCase__							:    List[str]=None,      UpperCAmelCase__							:    str=None,      UpperCAmelCase__							:    int=False,      UpperCAmelCase__							:    List[str]="<unk>",      UpperCAmelCase__							:    Any="<s>",      UpperCAmelCase__							:    str="</s>",      UpperCAmelCase__							:    Dict=True,      UpperCAmelCase__							:    List[Any]=False,      **UpperCAmelCase__							:    Dict,      ):
    super().__init__(
        vocab_file=UpperCAmelCase__,      tokenizer_file=UpperCAmelCase__,      clean_up_tokenization_spaces=UpperCAmelCase__,      unk_token=UpperCAmelCase__,      bos_token=UpperCAmelCase__,      eos_token=UpperCAmelCase__,      **UpperCAmelCase__,      )
    __lowercase			=		add_bos_token
    __lowercase			=		add_eos_token
    self.update_post_processor()

    __lowercase			=		vocab_file
    __lowercase			=		False if not self.vocab_file else True


 def       _lowercase				(    self							:    int			):
    __lowercase			=		self.bos_token
    __lowercase			=		self.bos_token_id

    __lowercase			=		self.eos_token
    __lowercase			=		self.eos_token_id

    __lowercase			=		F"""{(bos+":0 ") * self.add_bos_token}$A:0{(" "+eos+":0") * self.add_eos_token}"""
    __lowercase			=		F"""{single}{(" "+bos+":1") * self.add_bos_token} $B:1{(" "+eos+":1") * self.add_eos_token}"""

    __lowercase			=		[]
    if self.add_bos_token:
       special_tokens.append((bos, bos_token_id)			)
    if self.add_eos_token:
       special_tokens.append((eos, eos_token_id)			)
    __lowercase			=		processors.TemplateProcessing(
        single=UpperCAmelCase__,      pair=UpperCAmelCase__,      special_tokens=UpperCAmelCase__			)


 @property
 def       _lowercase				(    self							:    Any			):
    return self._add_eos_token


 @property
 def       _lowercase				(    self							:    Optional[int]			):
    return self._add_bos_token


 @add_eos_token.setter
 def       _lowercase				(    self							:    Any,      UpperCAmelCase__							:    Any			):
    __lowercase			=		value
    self.update_post_processor()


 @add_bos_token.setter
 def       _lowercase				(    self							:    List[Any],      UpperCAmelCase__							:    List[str]			):
    __lowercase			=		value
    self.update_post_processor()


 def       _lowercase				(    self							:    List[str],      UpperCAmelCase__							:    str,      UpperCAmelCase__							:    Optional[str] = None			):
    if not self.can_save_slow_tokenizer:
       raise ValueError(
           "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
           "tokenizer."			)

    if not os.path.isdir(UpperCAmelCase__			):
       logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""			)
       return
    __lowercase			=		os.path.join(
        UpperCAmelCase__,      (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)

    if os.path.abspath(self.vocab_file			) != os.path.abspath(UpperCAmelCase__			):
       copyfile(self.vocab_file,      UpperCAmelCase__			)

    return (out_vocab_file,)



 def       _lowercase				(    self							:    List[str],      UpperCAmelCase__							:    "Conversation"			):
    __lowercase			=		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...)"			)

    __lowercase			=		[]
    if len(conversation.past_user_inputs			) > 0:
       if not conversation.past_user_inputs[0].startswith(UpperCAmelCase__			) or E_SYS not in conversation.past_user_inputs[0]:
          __lowercase			=		(
              B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
          )
    elif not dialogue[0][1].startswith(UpperCAmelCase__			) or E_SYS not in dialogue[0][1]:
       __lowercase			=		(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=UpperCAmelCase__			)
            + [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=UpperCAmelCase__			)
    return dialog_tokens




"""simple docstring"""





import shutil

import requests




def 						_A						(						UpperCamelCase_  : str,    UpperCamelCase_  : bool = False,    UpperCamelCase_  : str = ".")			->		dict:
   '''simple docstring'''


   __lowercase			=		"https://api.nasa.gov/planetary/apod"
   return requests.get(UpperCamelCase_,    params={"api_key": api_key}).json()




def 						_A						(						UpperCamelCase_  : str,    UpperCamelCase_  : str = ".")			->		dict:
   '''simple docstring'''


   __lowercase			=		get_apod_data(UpperCamelCase_)
   __lowercase			=		apod_data["url"]
   __lowercase			=		img_url.split("/")[-1]
   __lowercase			=		requests.get(UpperCamelCase_,    stream=UpperCamelCase_)

   with open(F"""{path}/{img_name}""",    "wb+") as img_file:
      shutil.copyfileobj(response.raw,    UpperCamelCase_)
   del response
   return apod_data




def 						_A						(						UpperCamelCase_  : str)			->		dict:
   '''simple docstring'''


   __lowercase			=		"https://images-api.nasa.gov/search"
   return requests.get(UpperCamelCase_,    params={"q": query}).json()


if __name__ == "__main__":
   print(save_apod('YOUR API KEY'))
   _a				   =							get_archive_data('apollo 2011')['collection']['items']
   print(apollo_aaaa_items[0]['data'][0]['description'])




