






"""simple docstring"""






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       snake_case_       (    _lowerCamelCase    ,							unittest.TestCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							Dict   			=					OpenAIGPTTokenizer
	SCREAMING_SNAKE_CASE_:							str   			=					OpenAIGPTTokenizerFast
	SCREAMING_SNAKE_CASE_:							int   			=					True
	SCREAMING_SNAKE_CASE_:							Union[str, Any]   			=					False


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					super().setUp()

					# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
					A__							 =       [
					    '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>',
					]
					A__							 =       dict(zip(__a  ,					range(len(__a						)						)						)						)
					A__							 =       ['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

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


	def       _UpperCAmelCase						(      self  ,					__a						):


					"""simple docstring"""

					return "lower newer", "lower newer"


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       OpenAIGPTTokenizer(self.vocab_file  ,					self.merges_file						)

					A__							 =       'lower'
					A__							 =       ['low', 'er</w>']
					A__							 =       tokenizer.tokenize(__a						)
					self.assertListEqual(__a  ,					__a						)

					A__							 =       tokens + ['<unk>']
					A__							 =       [14, 15, 20]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(__a						)  ,					__a						)


	def       _UpperCAmelCase						(      self  ,					__a=15						):


					"""simple docstring"""

					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
													A__							 =       self.rust_tokenizer_class.from_pretrained(__a  ,					**__a						)

													# Simple input
													A__							 =       'This is a simple input'
													A__							 =       ['This is a simple input 1', 'This is a simple input 2']
													A__							 =       ('This is a simple input', 'This is a pair')
													A__							 =       [
													    ('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(__a  ,					tokenizer_r.encode  ,					__a  ,					max_length=__a  ,					padding='max_length'						)

													# Simple input
													self.assertRaises(__a  ,					tokenizer_r.encode_plus  ,					__a  ,					max_length=__a  ,					padding='max_length'						)

													# Simple input
													self.assertRaises(
													    __a  ,					tokenizer_r.batch_encode_plus  ,					__a  ,					max_length=__a  ,					padding='max_length'  ,					)

													# Pair input
													self.assertRaises(__a  ,					tokenizer_r.encode  ,					__a  ,					max_length=__a  ,					padding='max_length'						)

													# Pair input
													self.assertRaises(__a  ,					tokenizer_r.encode_plus  ,					__a  ,					max_length=__a  ,					padding='max_length'						)

													# Pair input
													self.assertRaises(
													    __a  ,					tokenizer_r.batch_encode_plus  ,					__a  ,					max_length=__a  ,					padding='max_length'  ,					)






	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					pass





@require_ftfy
@require_spacy
@require_tokenizers
class       snake_case_       (    _lowerCamelCase       ):



	"""simple docstring"""

	pass










"""simple docstring"""






from maths.prime_check import is_prime



def  __lowerCamelCase					(					lowerCAmelCase__				):
				if not isinstance(lowerCAmelCase__       ,lowerCAmelCase__				):
								A__							 =       f'''Input value of [number={number}] must be an integer'''
								raise TypeError(lowerCAmelCase__				)
				if is_prime(lowerCAmelCase__				) and is_prime(number + 2				):
								return number + 2
				else:
								return -1


if __name__ == "__main__":
					import doctest

					doctest.testmod()


