





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   _SCREAMING_SNAKE_CASE		(      __SCREAMING_SNAKE_CASE       ,				unittest.TestCase       ):







 '''simple docstring'''
 lowercase_						=     OpenAIGPTTokenizer
 lowercase_						=     OpenAIGPTTokenizerFast
 lowercase_						=     True
 lowercase_						=     False

 def 				SCREAMING_SNAKE_CASE_   (self							:  Tuple)			->Optional[Any]:



   '''simple docstring'''



   super().setUp()

   # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
   lowerCamelCase__: int         =[
       "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__: str         =dict(zip(UpperCAmelCase_			,					range(len(UpperCAmelCase_))))
   lowerCamelCase__: Optional[Any]         =["#version: 0.2", "l o", "lo w", "e r</w>", ""]

   lowerCamelCase__: List[str]         =os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES["vocab_file"])
   lowerCamelCase__: Optional[int]         =os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES["merges_file"])
   with open(self.vocab_file			,					"w") as fp:
     fp.write(json.dumps(UpperCAmelCase_))
   with open(self.merges_file			,					"w") as fp:
     fp.write("\n".join(UpperCAmelCase_))

 def 				SCREAMING_SNAKE_CASE_   (self							:  str			,					UpperCAmelCase_							:  Optional[Any])			->Union[str, Any]:



   '''simple docstring'''



   return "lower newer", "lower newer"

 def 				SCREAMING_SNAKE_CASE_   (self							:  Union[str, Any])			->int:



   '''simple docstring'''



   lowerCamelCase__: Optional[Any]         =OpenAIGPTTokenizer(self.vocab_file			,					self.merges_file)

   lowerCamelCase__: Any         ="lower"
   lowerCamelCase__: Union[str, Any]         =["low", "er</w>"]
   lowerCamelCase__: Any         =tokenizer.tokenize(UpperCAmelCase_)
   self.assertListEqual(UpperCAmelCase_			,					UpperCAmelCase_)

   lowerCamelCase__: str         =tokens + ["<unk>"]
   lowerCamelCase__: int         =[14, 15, 20]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_)			,					UpperCAmelCase_)

 def 				SCREAMING_SNAKE_CASE_   (self							:  Dict			,					UpperCAmelCase_							:  Union[str, Any]=15)			->List[str]:



   '''simple docstring'''



   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
       lowerCamelCase__: List[Any]         =self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_			,					**UpperCAmelCase_)

       # Simple input
       lowerCamelCase__: str         ="This is a simple input"
       lowerCamelCase__: str         =["This is a simple input 1", "This is a simple input 2"]
       lowerCamelCase__: Any         =("This is a simple input", "This is a pair")
       lowerCamelCase__: List[Any]         =[
           ("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(UpperCAmelCase_			,					tokenizer_r.encode			,					UpperCAmelCase_			,					max_length=UpperCAmelCase_			,					padding="max_length")

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

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

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

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

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







 def 				SCREAMING_SNAKE_CASE_   (self							:  List[str])			->Dict:



   '''simple docstring'''



   pass



@require_ftfy
@require_spacy
@require_tokenizers
class   _SCREAMING_SNAKE_CASE		(      __SCREAMING_SNAKE_CASE       ):







 '''simple docstring'''
 pass



'''simple docstring'''
from typing import Any







class   a_ :




			def __init__(       self					,   UpperCAmelCase	):
				a_      				=						data
				a_      				=						None







class   a_ :




			def __init__(       self	):
				a_      				=						None




			def 					lowerCAmelCase__					(       self	):
				a_      				=						self.head
				while temp is not None:
					print(temp.data					,   end=""" """	)
					a_      				=						temp.next
				print()




			def 					lowerCAmelCase__					(       self					,   UpperCAmelCase	):
				a_      				=						Node(UpperCAmelCase	)
				a_      				=						self.head
				a_      				=						new_node






			def 					lowerCAmelCase__					(       self					,   UpperCAmelCase					,   UpperCAmelCase	):
				if node_data_a == node_data_a:
					return
				else:
					a_      				=						self.head
					while node_a is not None and node_a.data != node_data_a:
						a_      				=						node_a.next

					a_      				=						self.head
					while node_a is not None and node_a.data != node_data_a:
						a_      				=						node_a.next

					if node_a is None or node_a is None:
						return

					a_				,  a_      				=						node_a.data, node_a.data


if __name__ == "__main__":
		lowercase__											=LinkedList()
		for i in range(5, 0, -1):
				ll.push(i)

		ll.print_list()

		ll.swap_nodes(1, 4)
		print('After swapping')
		ll.print_list()
