






'''simple docstring'''
import json
import os
import shutil
import tempfile
from unittest import TestCase

from transformers import BartTokenizer, BartTokenizerFast, DPRQuestionEncoderTokenizer, DPRQuestionEncoderTokenizerFast
from transformers.models.bart.configuration_bart import BartConfig
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES as DPR_VOCAB_FILES_NAMES
from transformers.models.dpr.configuration_dpr import DPRConfig
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES as BART_VOCAB_FILES_NAMES
from transformers.testing_utils import require_faiss, require_tokenizers, require_torch, slow
from transformers.utils import is_datasets_available, is_faiss_available, is_torch_available


if is_torch_available() and is_datasets_available() and is_faiss_available():
 from transformers.models.rag.configuration_rag import RagConfig
 from transformers.models.rag.tokenization_rag import RagTokenizer


@require_faiss
@require_torch
class        _UpperCAmelCase						(		snake_case			):




    def 				lowerCAmelCase__				(			self  :       Any			):






       '''simple docstring'''






       lowercase_	:    Union[str, Any]           =     tempfile.mkdtemp()
       lowercase_	:    int           =     8

       # DPR tok
       lowercase_	:    Optional[int]           =     [
           "[UNK]",
           "[CLS]",
           "[SEP]",
           "[PAD]",
           "[MASK]",
           "want",
           "##want",
           "##ed",
           "wa",
           "un",
           "runn",
           "##ing",
           ",",
           "low",
           "lowest",
       ]
       lowercase_	:    Optional[Any]           =     os.path.join(self.tmpdirname  ,     "dpr_tokenizer"			)
       os.makedirs(a  ,     exist_ok=a			)
       lowercase_	:    Any           =     os.path.join(a  ,     DPR_VOCAB_FILES_NAMES["vocab_file"]			)
       with open(self.vocab_file  ,     "w"  ,     encoding="utf-8"			) as vocab_writer:
          vocab_writer.write("".join([x + "\n" for x in vocab_tokens]			)			)

       # BART tok
       lowercase_	:    Optional[int]           =     [
           "l",
           "o",
           "w",
           "e",
           "r",
           "s",
           "t",
           "i",
           "d",
           "n",
           "\u0120",
           "\u0120l",
           "\u0120n",
           "\u0120lo",
           "\u0120low",
           "er",
           "\u0120lowest",
           "\u0120newer",
           "\u0120wider",
           "<unk>",
       ]
       lowercase_	:    int           =     dict(zip(a  ,     range(len(a			)			)			)			)
       lowercase_	:    str           =     ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
       lowercase_	:    List[str]           =     {"unk_token": "<unk>"}

       lowercase_	:    List[str]           =     os.path.join(self.tmpdirname  ,     "bart_tokenizer"			)
       os.makedirs(a  ,     exist_ok=a			)
       lowercase_	:    Optional[Any]           =     os.path.join(a  ,     BART_VOCAB_FILES_NAMES["vocab_file"]			)
       lowercase_	:    str           =     os.path.join(a  ,     BART_VOCAB_FILES_NAMES["merges_file"]			)
       with open(self.vocab_file  ,     "w"  ,     encoding="utf-8"			) as fp:
          fp.write(json.dumps(a			) + "\n"			)
       with open(self.merges_file  ,     "w"  ,     encoding="utf-8"			) as fp:
          fp.write("\n".join(a			)			)




    def 				lowerCAmelCase__				(			self  :       str			):






       '''simple docstring'''






       return DPRQuestionEncoderTokenizer.from_pretrained(os.path.join(self.tmpdirname  ,     "dpr_tokenizer"			)			)




    def 				lowerCAmelCase__				(			self  :       Any			):






       '''simple docstring'''






       return BartTokenizer.from_pretrained(os.path.join(self.tmpdirname  ,     "bart_tokenizer"			)			)




    def 				lowerCAmelCase__				(			self  :       int			):






       '''simple docstring'''






       shutil.rmtree(self.tmpdirname			)




    @require_tokenizers
    def 				lowerCAmelCase__				(			self  :       List[str]			):






       '''simple docstring'''






       lowercase_	:    Optional[Any]           =     os.path.join(self.tmpdirname  ,     "rag_tokenizer"			)
       lowercase_	:    Optional[int]           =     RagConfig(question_encoder=DPRConfig().to_dict()  ,     generator=BartConfig().to_dict()			)
       lowercase_	:    Optional[int]           =     RagTokenizer(question_encoder=self.get_dpr_tokenizer()  ,     generator=self.get_bart_tokenizer()			)
       rag_config.save_pretrained(a			)
       rag_tokenizer.save_pretrained(a			)
       lowercase_	:    Dict           =     RagTokenizer.from_pretrained(a  ,     config=a			)
       self.assertIsInstance(new_rag_tokenizer.question_encoder  ,     a			)
       self.assertEqual(new_rag_tokenizer.question_encoder.get_vocab()  ,     rag_tokenizer.question_encoder.get_vocab()			)
       self.assertIsInstance(new_rag_tokenizer.generator  ,     a			)
       self.assertEqual(new_rag_tokenizer.generator.get_vocab()  ,     rag_tokenizer.generator.get_vocab()			)




    @slow
    def 				lowerCAmelCase__				(			self  :       str			):






       '''simple docstring'''






       lowercase_	:    Any           =     RagTokenizer.from_pretrained("facebook/rag-token-nq"			)
       lowercase_	:    Union[str, Any]           =     [
           "who got the first nobel prize in physics",
           "when is the next deadpool movie being released",
           "which mode is used for short wave broadcast service",
           "who is the owner of reading football club",
           "when is the next scandal episode coming out",
           "when is the last time the philadelphia won the superbowl",
           "what is the most current adobe flash player version",
           "how many episodes are there in dragon ball z",
           "what is the first step in the evolution of the eye",
           "where is gall bladder situated in human body",
           "what is the main mineral in lithium batteries",
           "who is the president of usa right now",
           "where do the greasers live in the outsiders",
           "panda is a national animal of which country",
           "what is the name of manchester united stadium",
       ]
       lowercase_	:    List[Any]           =     tokenizer(a			)
       self.assertIsNotNone(a			)





    @slow
    def 				lowerCAmelCase__				(			self  :       int			):






       '''simple docstring'''






       lowercase_	:    Dict           =     RagTokenizer.from_pretrained("facebook/rag-sequence-nq"			)
       lowercase_	:    Tuple           =     [
           "who got the first nobel prize in physics",
           "when is the next deadpool movie being released",
           "which mode is used for short wave broadcast service",
           "who is the owner of reading football club",
           "when is the next scandal episode coming out",
           "when is the last time the philadelphia won the superbowl",
           "what is the most current adobe flash player version",
           "how many episodes are there in dragon ball z",
           "what is the first step in the evolution of the eye",
           "where is gall bladder situated in human body",
           "what is the main mineral in lithium batteries",
           "who is the president of usa right now",
           "where do the greasers live in the outsiders",
           "panda is a national animal of which country",
           "what is the name of manchester united stadium",
       ]
       lowercase_	:    int           =     tokenizer(a			)
       self.assertIsNotNone(a			)












'''simple docstring'''
from __future__ import annotations

UpperCamelCase__ =			[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
UpperCamelCase__ =			[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    str           =     []
   lowercase_	:    List[str]           =     len(_UpperCamelCase							)

   for i in range(_UpperCamelCase							):
      lowercase_	:    float           =     -1
      for j in range(i + 1						,		_UpperCamelCase							):
         if arr[i] < arr[j]:
            lowercase_	:    Union[str, Any]           =     arr[j]
            break
      result.append(_UpperCamelCase							)
   return result




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    List[str]           =     []
   for i, outer in enumerate(_UpperCamelCase							):
      lowercase_	:    float           =     -1
      for inner in arr[i + 1 :]:
         if outer < inner:
            lowercase_	:    Optional[Any]           =     inner
            break
      result.append(_UpperCamelCase							)
   return result




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    List[str]           =     len(_UpperCamelCase							)
   lowercase_	:    list[float]           =     []
   lowercase_	:    list[float]           =     [-1] * arr_size

   for index in reversed(range(_UpperCamelCase							)							):
      if stack:
         while stack[-1] <= arr[index]:
            stack.pop()
            if not stack:
               break
      if stack:
         lowercase_	:    Optional[Any]           =     stack[-1]
      stack.append(arr[index]							)
   return result


if __name__ == "__main__":
 from doctest import testmod
 from timeit import timeit

 testmod()
 print(next_greatest_element_slow(arr))
 print(next_greatest_element_fast(arr))
 print(next_greatest_element(arr))

 UpperCamelCase__ =			(
     'from __main__ import arr, next_greatest_element_slow, '
     'next_greatest_element_fast, next_greatest_element'
 )
 print(
     'next_greatest_element_slow():',
     timeit('next_greatest_element_slow(arr)', setup=setup),
 )
 print(
     'next_greatest_element_fast():',
     timeit('next_greatest_element_fast(arr)', setup=setup),
 )
 print(
     '     next_greatest_element():',
     timeit('next_greatest_element(arr)', setup=setup),
 )




