

import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin







class   __lowercase      (_UpperCAmelCase		,   unittest.TestCase ):
 _UpperCamelCase			  =  BioGptTokenizer
 _UpperCamelCase			  =  False
 def 	UpperCamelCase__  (							self					)					->Optional[Any]:



       '''simple docstring'''





       super().setUp()

       # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
       __lowerCAmelCase					:						List[Any]					=					[
           """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					=					dict(zip(lowercase_      ,							range(len(lowercase_					)					)					)					)
       __lowerCAmelCase					:						List[Any]					=					["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

       __lowerCAmelCase					:						Optional[int]					=					os.path.join(self.tmpdirname      ,							VOCAB_FILES_NAMES['''vocab_file''']					)
       __lowerCAmelCase					:						Dict					=					os.path.join(self.tmpdirname      ,							VOCAB_FILES_NAMES['''merges_file''']					)
       with open(self.vocab_file      ,							'''w'''					) as fp:
             fp.write(json.dumps(lowercase_					)					)
       with open(self.merges_file      ,							'''w'''					) as fp:
             fp.write('''\n'''.join(lowercase_					)					)
 def 	UpperCamelCase__  (							self      ,							A_					)					->Union[str, Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[Any]					=					"""lower newer"""
       __lowerCAmelCase					:						Optional[Any]					=					"""lower newer"""
       return input_text, output_text
 def 	UpperCamelCase__  (							self					)					->str:



       '''simple docstring'''





       __lowerCAmelCase					:						List[str]					=					BioGptTokenizer(self.vocab_file      ,							self.merges_file					)

       __lowerCAmelCase					:						List[Any]					=					"""lower"""
       __lowerCAmelCase					:						List[str]					=					["""low""", """er</w>"""]
       __lowerCAmelCase					:						Optional[Any]					=					tokenizer.tokenize(lowercase_					)
       self.assertListEqual(lowercase_      ,							lowercase_					)

       __lowerCAmelCase					:						int					=					tokens + ["""<unk>"""]
       __lowerCAmelCase					:						Tuple					=					[14, 15, 20]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_					)      ,							lowercase_					)





 @slow
 def 	UpperCamelCase__  (							self					)					->int:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[int]					=					BioGptTokenizer.from_pretrained('''microsoft/biogpt'''					)

       __lowerCAmelCase					:						List[Any]					=					tokenizer.encode('''sequence builders'''      ,							add_special_tokens=lowercase_					)
       __lowerCAmelCase					:						int					=					tokenizer.encode('''multi-sequence build'''      ,							add_special_tokens=lowercase_					)

       __lowerCAmelCase					:						Optional[int]					=					tokenizer.build_inputs_with_special_tokens(lowercase_					)
       __lowerCAmelCase					:						Tuple					=					tokenizer.build_inputs_with_special_tokens(lowercase_      ,							lowercase_					)

       self.assertTrue(encoded_sentence == [2] + text					)
       self.assertTrue(encoded_pair == [2] + text + [2] + text_a					)



'''simple docstring'''




import math
import unittest




def 							lowerCamelCase	(      UpperCAmelCase__       :					int )			->      bool:
							assert isinstance(UpperCAmelCase__      ,      UpperCAmelCase__ ) and (
							    number >= 0
							), "'number' must been an int and positive"

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5      ,      int(math.sqrt(UpperCAmelCase__ ) + 1 )      ,      6 ):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True





class     __magic_name__						(    unittest.TestCase):







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Dict    ):
										self.assertTrue(is_prime(2    )    )
										self.assertTrue(is_prime(3    )    )
										self.assertTrue(is_prime(5    )    )
										self.assertTrue(is_prime(7    )    )
										self.assertTrue(is_prime(11    )    )
										self.assertTrue(is_prime(13    )    )
										self.assertTrue(is_prime(17    )    )
										self.assertTrue(is_prime(19    )    )
										self.assertTrue(is_prime(23    )    )
										self.assertTrue(is_prime(29    )    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]    ):
										with self.assertRaises(lowercase_    ):
																	is_prime(-19    )
										self.assertFalse(
										    is_prime(0    )				,			"""Zero doesn't have any positive factors, primes must have exactly two."""				,			)
										self.assertFalse(
										    is_prime(1    )				,			"""One only has 1 positive factor, primes must have exactly two."""				,			)
										self.assertFalse(is_prime(2 * 2    )    )
										self.assertFalse(is_prime(2 * 3    )    )
										self.assertFalse(is_prime(3 * 3    )    )
										self.assertFalse(is_prime(3 * 5    )    )
										self.assertFalse(is_prime(3 * 5 * 7    )    )


if __name__ == "__main__":
						unittest.main()





