




import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 			__lowerCamelCase	(   UpperCamelCase__     ,    unittest.TestCase   ):




    """simple docstring"""

    snake_case__ =				OpenAIGPTTokenizer
    snake_case__ =				OpenAIGPTTokenizerFast
    snake_case__ =				True
    snake_case__ =				False


    def        a				(	self					:					List[str]       )				->	Optional[int]:
         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         lowerCAmelCase__          =			[
             "l",
             "o",
             "w",
             "e",
             "r",
             "s",
             "t",
             "i",
             "d",
             "n",
             "w</w>",
             "r</w>",
             "t</w>",
             "lo",
             "low",
             "er</w>",
             "low</w>",
             "lowest</w>",
             "newer</w>",
             "wider</w>",
             "<unk>",
         ]
         lowerCAmelCase__          =			dict(zip(SCREAMING_SNAKE_CASE__       ,     range(len(SCREAMING_SNAKE_CASE__       )       )       )       )
         lowerCAmelCase__          =			["#version: 0.2", "l o", "lo w", "e r</w>", ""]

         lowerCAmelCase__          =			os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES["vocab_file"]       )
         lowerCAmelCase__          =			os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES["merges_file"]       )
         with open(self.vocab_file       ,     "w"       ) as fp:
              fp.write(json.dumps(SCREAMING_SNAKE_CASE__       )       )
         with open(self.merges_file       ,     "w"       ) as fp:
              fp.write("\n".join(SCREAMING_SNAKE_CASE__       )       )


    def        a				(	self					:					List[Any]       ,     SCREAMING_SNAKE_CASE__					:					int       )				->	Tuple:
         return "lower newer", "lower newer"


    def        a				(	self					:					List[str]       )				->	List[str]:
         lowerCAmelCase__          =			OpenAIGPTTokenizer(self.vocab_file       ,     self.merges_file       )

         lowerCAmelCase__          =			"lower"
         lowerCAmelCase__          =			["low", "er</w>"]
         lowerCAmelCase__          =			tokenizer.tokenize(SCREAMING_SNAKE_CASE__       )
         self.assertListEqual(SCREAMING_SNAKE_CASE__       ,     SCREAMING_SNAKE_CASE__       )

         lowerCAmelCase__          =			tokens + ["<unk>"]
         lowerCAmelCase__          =			[14, 15, 20]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__       )       ,     SCREAMING_SNAKE_CASE__       )


    def        a				(	self					:					Optional[Any]       ,     SCREAMING_SNAKE_CASE__					:					List[Any]=15       )				->	List[Any]:
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'       ):
                   lowerCAmelCase__          =			self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__       ,     **SCREAMING_SNAKE_CASE__       )

                   # Simple input
                   lowerCAmelCase__          =			"This is a simple input"
                   lowerCAmelCase__          =			["This is a simple input 1", "This is a simple input 2"]
                   lowerCAmelCase__          =			("This is a simple input", "This is a pair")
                   lowerCAmelCase__          =			[
                       ("This is a simple input 1", "This is a simple input 2"),
                       ("This is a simple pair 1", "This is a simple pair 2"),
                   ]

                   # Simple input tests
                   self.assertRaises(SCREAMING_SNAKE_CASE__       ,     tokenizer_r.encode       ,     SCREAMING_SNAKE_CASE__       ,     max_length=SCREAMING_SNAKE_CASE__       ,     padding="max_length"       )

                   # Simple input
                   self.assertRaises(SCREAMING_SNAKE_CASE__       ,     tokenizer_r.encode_plus       ,     SCREAMING_SNAKE_CASE__       ,     max_length=SCREAMING_SNAKE_CASE__       ,     padding="max_length"       )

                   # Simple input
                   self.assertRaises(
                       SCREAMING_SNAKE_CASE__       ,     tokenizer_r.batch_encode_plus       ,     SCREAMING_SNAKE_CASE__       ,     max_length=SCREAMING_SNAKE_CASE__       ,     padding="max_length"       ,     )

                   # Pair input
                   self.assertRaises(SCREAMING_SNAKE_CASE__       ,     tokenizer_r.encode       ,     SCREAMING_SNAKE_CASE__       ,     max_length=SCREAMING_SNAKE_CASE__       ,     padding="max_length"       )

                   # Pair input
                   self.assertRaises(SCREAMING_SNAKE_CASE__       ,     tokenizer_r.encode_plus       ,     SCREAMING_SNAKE_CASE__       ,     max_length=SCREAMING_SNAKE_CASE__       ,     padding="max_length"       )

                   # Pair input
                   self.assertRaises(
                       SCREAMING_SNAKE_CASE__       ,     tokenizer_r.batch_encode_plus       ,     SCREAMING_SNAKE_CASE__       ,     max_length=SCREAMING_SNAKE_CASE__       ,     padding="max_length"       ,     )


    def        a				(	self					:					Optional[int]       )				->	List[Any]:
         pass






@require_ftfy
@require_spacy
@require_tokenizers
class 			__lowerCamelCase	(   UpperCamelCase__   ):




    """simple docstring"""

    pass






import random



def 							_A       (						lowerCAmelCase_					: list       ,    lowerCAmelCase_					: List[str]      ):
     """simple docstring"""

     lowerCAmelCase__     ,		lowerCAmelCase__     ,		lowerCAmelCase__          =			[], [], []
     for element in data:
          if element < pivot:
               less.append(lowerCAmelCase_      )
          elif element > pivot:
               greater.append(lowerCAmelCase_      )
          else:
               equal.append(lowerCAmelCase_      )
     return less, equal, greater






def 							_A       (						lowerCAmelCase_					: list       ,    lowerCAmelCase_					: int      ):
     """simple docstring"""

     if index >= len(lowerCAmelCase_      ) or index < 0:
          return None

     lowerCAmelCase__          =			items[random.randint(0       ,    len(lowerCAmelCase_      ) - 1      )]
     lowerCAmelCase__          =			0
     lowerCAmelCase__     ,		lowerCAmelCase__     ,		lowerCAmelCase__          =			_partition(lowerCAmelCase_       ,    lowerCAmelCase_      )
     lowerCAmelCase__          =			len(lowerCAmelCase_      )
     lowerCAmelCase__          =			len(lowerCAmelCase_      )

     # index is the pivot
     if m <= index < m + count:
          return pivot
     # must be in smaller
     elif m > index:
          return quick_select(lowerCAmelCase_       ,    lowerCAmelCase_      )
     # must be in larger
     else:
          return quick_select(lowerCAmelCase_       ,    index - (m + count)      )
