


import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class  _a							(    _lowercase					,						unittest.TestCase):
	_a  :  Optional[Any]				   =							GPTaTokenizer
	_a  :  Tuple				   =							GPTaTokenizerFast
	_a  :  Tuple				   =							True
	_a  :  Dict				   =							{'''add_prefix_space''': True}
	_a  :  Union[str, Any]				   =							False




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

			# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
			lowerCAmelCase__       :      Optional[Any]   					= [
			    '''l''',
			    '''o''',
			    '''w''',
			    '''e''',
			    '''r''',
			    '''s''',
			    '''t''',
			    '''i''',
			    '''d''',
			    '''n''',
			    '''\u0120''',
			    '''\u0120l''',
			    '''\u0120n''',
			    '''\u0120lo''',
			    '''\u0120low''',
			    '''er''',
			    '''\u0120lowest''',
			    '''\u0120newer''',
			    '''\u0120wider''',
			    '''<unk>''',
			    '''<|endoftext|>''',
			]
			lowerCAmelCase__       :      Union[str, Any]   					= dict(zip(_SCREAMING_SNAKE_CASE		, range(len(_SCREAMING_SNAKE_CASE		)		)		)		)
			lowerCAmelCase__       :      Any   					= ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
			lowerCAmelCase__       :      str   					= {'''unk_token''': '''<unk>'''}

			lowerCAmelCase__       :      Tuple   					= os.path.join(self.tmpdirname		, VOCAB_FILES_NAMES['''vocab_file''']		)
			lowerCAmelCase__       :      int   					= os.path.join(self.tmpdirname		, VOCAB_FILES_NAMES['''merges_file''']		)
			with open(self.vocab_file		, '''w'''		, encoding='''utf-8'''		) as fp:
					fp.write(json.dumps(_SCREAMING_SNAKE_CASE		) + '''\n'''		)
			with open(self.merges_file		, '''w'''		, encoding='''utf-8'''		) as fp:
					fp.write('''\n'''.join(_SCREAMING_SNAKE_CASE		)		)




	def 							UpperCAmelCase__( self						:		int		, **_SCREAMING_SNAKE_CASE						:		Optional[int]		)->	Any:
			kwargs.update(self.special_tokens_map		)
			return GPTaTokenizer.from_pretrained(self.tmpdirname		, **_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		Optional[int]		, **_SCREAMING_SNAKE_CASE						:		Union[str, Any]		)->	Optional[Any]:
			kwargs.update(self.special_tokens_map		)
			return GPTaTokenizerFast.from_pretrained(self.tmpdirname		, **_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		int		, _SCREAMING_SNAKE_CASE						:		Union[str, Any]		)->	List[Any]:
			lowerCAmelCase__       :      Any   					= '''lower newer'''
			lowerCAmelCase__       :      List[Any]   					= '''lower newer'''
			return input_text, output_text




	def 							UpperCAmelCase__( self						:		int		)->	Dict:
			lowerCAmelCase__       :      List[Any]   					= GPTaTokenizer(self.vocab_file		, self.merges_file		, **self.special_tokens_map		)
			lowerCAmelCase__       :      Optional[int]   					= '''lower newer'''
			lowerCAmelCase__       :      Dict   					= ['''\u0120low''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
			lowerCAmelCase__       :      Union[str, Any]   					= tokenizer.tokenize(_SCREAMING_SNAKE_CASE		, add_prefix_space=_SCREAMING_SNAKE_CASE		)
			self.assertListEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)

			lowerCAmelCase__       :      str   					= tokens + [tokenizer.unk_token]
			lowerCAmelCase__       :      List[Any]   					= [14, 15, 10, 9, 3, 2, 15, 19]
			self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE		)		, _SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		int		)->	int:
			if not self.test_rust_tokenizer:
					return

			lowerCAmelCase__       :      Optional[int]   					= self.get_tokenizer()
			lowerCAmelCase__       :      str   					= self.get_rust_tokenizer(add_prefix_space=_SCREAMING_SNAKE_CASE		)

			lowerCAmelCase__       :      Optional[int]   					= '''lower newer'''

			# Testing tokenization
			lowerCAmelCase__       :      int   					= tokenizer.tokenize(_SCREAMING_SNAKE_CASE		, add_prefix_space=_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      List[str]   					= rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE		)
			self.assertListEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)

			# Testing conversion to ids without special tokens
			lowerCAmelCase__       :      Tuple   					= tokenizer.encode(_SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		, add_prefix_space=_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      List[str]   					= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		)
			self.assertListEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)

			# Testing conversion to ids with special tokens
			lowerCAmelCase__       :      str   					= self.get_rust_tokenizer(add_prefix_space=_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      List[Any]   					= tokenizer.encode(_SCREAMING_SNAKE_CASE		, add_prefix_space=_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      Optional[Any]   					= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE		)
			self.assertListEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)

			# Testing the unknown token
			lowerCAmelCase__       :      List[Any]   					= tokens + [rust_tokenizer.unk_token]
			lowerCAmelCase__       :      Any   					= [14, 15, 10, 9, 3, 2, 15, 19]
			self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE		)		, _SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		Optional[int]		, *_SCREAMING_SNAKE_CASE						:		Dict		, **_SCREAMING_SNAKE_CASE						:		Any		)->	str:
			# It's very difficult to mix/test pretokenization with byte-level
			# And get both GPT2 and Roberta to work at the same time (mostly an issue of adding a space before the string)
			pass




	def 							UpperCAmelCase__( self						:		Any		, _SCREAMING_SNAKE_CASE						:		Union[str, Any]=15		)->	Any:
			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(_SCREAMING_SNAKE_CASE		, **_SCREAMING_SNAKE_CASE		)

							# Simple input
							lowerCAmelCase__       :      int   					= '''This is a simple input'''
							lowerCAmelCase__       :      List[str]   					= ['''This is a simple input 1''', '''This is a simple input 2''']
							lowerCAmelCase__       :      Tuple   					= ('''This is a simple input''', '''This is a pair''')
							lowerCAmelCase__       :      Optional[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(_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 							UpperCAmelCase__( self						:		Optional[Any]		)->	str:
			lowerCAmelCase__       :      str   					= GPTaTokenizer.from_pretrained(self.tmpdirname		, pad_token='''<pad>'''		)

			# Simple input
			lowerCAmelCase__       :      int   					= '''This is a simple input'''
			lowerCAmelCase__       :      int   					= ['''This is a simple input looooooooong''', '''This is a simple input''']
			lowerCAmelCase__       :      List[str]   					= ('''This is a simple input''', '''This is a pair''')
			lowerCAmelCase__       :      List[Any]   					= [
			    ('''This is a simple input loooooong''', '''This is a simple input'''),
			    ('''This is a simple pair loooooong''', '''This is a simple pair'''),
			]

			lowerCAmelCase__       :      Dict   					= tokenizer.pad_token_id

			lowerCAmelCase__       :      Any   					= tokenizer(_SCREAMING_SNAKE_CASE		, padding='''max_length'''		, max_length=30		, return_tensors='''np'''		)
			lowerCAmelCase__       :      Dict   					= tokenizer(_SCREAMING_SNAKE_CASE		, padding=_SCREAMING_SNAKE_CASE		, truncate=_SCREAMING_SNAKE_CASE		, return_tensors='''np'''		)
			lowerCAmelCase__       :      Any   					= tokenizer(*_SCREAMING_SNAKE_CASE		, padding='''max_length'''		, max_length=60		, return_tensors='''np'''		)
			lowerCAmelCase__       :      int   					= tokenizer(_SCREAMING_SNAKE_CASE		, padding=_SCREAMING_SNAKE_CASE		, truncate=_SCREAMING_SNAKE_CASE		, return_tensors='''np'''		)

			# s
			# test single string max_length padding
			self.assertEqual(out_s['''input_ids'''].shape[-1]		, 30		)
			self.assertTrue(pad_token_id in out_s['''input_ids''']		)
			self.assertTrue(0 in out_s['''attention_mask''']		)

			# s2
			# test automatic padding
			self.assertEqual(out_sa['''input_ids'''].shape[-1]		, 33		)
			# long slice doesn't have padding
			self.assertFalse(pad_token_id in out_sa['''input_ids'''][0]		)
			self.assertFalse(0 in out_sa['''attention_mask'''][0]		)
			# short slice does have padding
			self.assertTrue(pad_token_id in out_sa['''input_ids'''][1]		)
			self.assertTrue(0 in out_sa['''attention_mask'''][1]		)

			# p
			# test single pair max_length padding
			self.assertEqual(out_p['''input_ids'''].shape[-1]		, 60		)
			self.assertTrue(pad_token_id in out_p['''input_ids''']		)
			self.assertTrue(0 in out_p['''attention_mask''']		)

			# p2
			# test automatic padding pair
			self.assertEqual(out_pa['''input_ids'''].shape[-1]		, 52		)
			# long slice pair doesn't have padding
			self.assertFalse(pad_token_id in out_pa['''input_ids'''][0]		)
			self.assertFalse(0 in out_pa['''attention_mask'''][0]		)
			# short slice pair does have padding
			self.assertTrue(pad_token_id in out_pa['''input_ids'''][1]		)
			self.assertTrue(0 in out_pa['''attention_mask'''][1]		)




	def 							UpperCAmelCase__( self						:		Union[str, Any]		)->	Any:
			lowerCAmelCase__       :      int   					= '''$$$'''
			lowerCAmelCase__       :      Dict   					= GPTaTokenizer.from_pretrained(self.tmpdirname		, bos_token=_SCREAMING_SNAKE_CASE		, add_bos_token=_SCREAMING_SNAKE_CASE		)

			lowerCAmelCase__       :      Optional[int]   					= '''This is a simple input'''
			lowerCAmelCase__       :      Any   					= ['''This is a simple input 1''', '''This is a simple input 2''']

			lowerCAmelCase__       :      List[str]   					= tokenizer.bos_token_id

			lowerCAmelCase__       :      int   					= tokenizer(_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      Union[str, Any]   					= tokenizer(_SCREAMING_SNAKE_CASE		)

			self.assertEqual(out_s.input_ids[0]		, _SCREAMING_SNAKE_CASE		)
			self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids		)		)

			lowerCAmelCase__       :      Tuple   					= tokenizer.decode(out_s.input_ids		)
			lowerCAmelCase__       :      Any   					= tokenizer.batch_decode(out_sa.input_ids		)

			self.assertEqual(decode_s.split()[0]		, _SCREAMING_SNAKE_CASE		)
			self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa		)		)




	def 							UpperCAmelCase__( self						:		str		)->	Dict:
			pass




	def 							UpperCAmelCase__( self						:		Any		)->	Optional[Any]:
			# TODO: change to self.get_tokenizers() when the fast version is implemented
			lowerCAmelCase__       :      Optional[int]   					= [self.get_tokenizer(do_lower_case=_SCREAMING_SNAKE_CASE		, add_bos_token=_SCREAMING_SNAKE_CASE		)]
			for tokenizer in tokenizers:
					with self.subTest(F'{tokenizer.__class__.__name__}'		):
							lowerCAmelCase__       :      List[Any]   					= '''Encode this.'''
							lowerCAmelCase__       :      Dict   					= '''This one too please.'''
							lowerCAmelCase__       :      str   					= tokenizer.encode(_SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		)
							encoded_sequence += tokenizer.encode(_SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		)
							lowerCAmelCase__       :      Dict   					= tokenizer.encode_plus(
							    _SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		, return_special_tokens_mask=_SCREAMING_SNAKE_CASE		, )
							lowerCAmelCase__       :      Optional[Any]   					= encoded_sequence_dict['''input_ids''']
							lowerCAmelCase__       :      int   					= encoded_sequence_dict['''special_tokens_mask''']
							self.assertEqual(len(_SCREAMING_SNAKE_CASE		)		, len(_SCREAMING_SNAKE_CASE		)		)

							lowerCAmelCase__       :      Union[str, Any]   					= [
							    (x if not special_tokens_mask[i] else None) for i, x in enumerate(_SCREAMING_SNAKE_CASE		)
							]
							lowerCAmelCase__       :      Optional[Any]   					= [x for x in filtered_sequence if x is not None]
							self.assertEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)





@require_tokenizers
class  _a							(    unittest.TestCase):




	def 							UpperCAmelCase__( self						:		Optional[Any]		)->	int:
			# More context:
			# https://huggingface.co/wjmcat/opt-350m-paddle/discussions/1
			# https://huggingface.slack.com/archives/C01N44FJDHT/p1653511495183519
			# https://github.com/huggingface/transformers/pull/17088#discussion_r871246439

			lowerCAmelCase__       :      Dict   					= AutoTokenizer.from_pretrained('''facebook/opt-350m'''		, from_slow=_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      List[str]   					= '''A photo of a cat'''

			lowerCAmelCase__       :      Dict   					= tokenizer.encode(
			    _SCREAMING_SNAKE_CASE		, )
			self.assertEqual(_SCREAMING_SNAKE_CASE		, [2, 250, 1345, 9, 10, 4758]		)
			tokenizer.save_pretrained('''test_opt'''		)

			lowerCAmelCase__       :      Tuple   					= AutoTokenizer.from_pretrained('''./test_opt'''		)
			lowerCAmelCase__       :      List[Any]   					= tokenizer.encode(
			    _SCREAMING_SNAKE_CASE		, )
			self.assertEqual(_SCREAMING_SNAKE_CASE		, [2, 250, 1345, 9, 10, 4758]		)




	def 							UpperCAmelCase__( self						:		List[Any]		)->	str:
			lowerCAmelCase__       :      Optional[Any]   					= AutoTokenizer.from_pretrained('''facebook/opt-350m'''		, use_slow=_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      Tuple   					= '''A photo of a cat'''

			lowerCAmelCase__       :      Any   					= tokenizer.encode(
			    _SCREAMING_SNAKE_CASE		, )
			# Same as above
			self.assertEqual(_SCREAMING_SNAKE_CASE		, [2, 250, 1345, 9, 10, 4758]		)




	@unittest.skip('''This test is failing because of a bug in the fast tokenizer'''		)
	def 							UpperCAmelCase__( self						:		Optional[Any]		)->	Optional[Any]:
			lowerCAmelCase__       :      Union[str, Any]   					= AutoTokenizer.from_pretrained('''facebook/opt-350m'''		, from_slow=_SCREAMING_SNAKE_CASE		)

			lowerCAmelCase__       :      List[str]   					= '''bos'''
			lowerCAmelCase__       :      Tuple   					= tokenizer.get_vocab()['''bos''']

			lowerCAmelCase__       :      Optional[int]   					= '''A photo of a cat'''
			lowerCAmelCase__       :      Any   					= tokenizer.encode(
			    _SCREAMING_SNAKE_CASE		, )
			# We changed the bos token
			self.assertEqual(_SCREAMING_SNAKE_CASE		, [3_1957, 250, 1345, 9, 10, 4758]		)
			tokenizer.save_pretrained('''./tok'''		)
			lowerCAmelCase__       :      Dict   					= AutoTokenizer.from_pretrained('''./tok'''		)
			self.assertTrue(tokenizer.is_fast		)
			lowerCAmelCase__       :      List[str]   					= tokenizer.encode(
			    _SCREAMING_SNAKE_CASE		, )
			self.assertEqual(_SCREAMING_SNAKE_CASE		, [3_1957, 250, 1345, 9, 10, 4758]		)








import random

from .binary_exp_mod import bin_exp_mod






def 					lowerCamelCase_   (	_a     ,       _a=1_000	):




		"""simple docstring"""






		if n < 2:
				return False

		if n % 2 == 0:
				return n == 2

		# this means n is odd
		lowerCAmelCase__       :      int   					= n - 1
		lowerCAmelCase__       :      Any   					= 0
		while d % 2 == 0:
				d /= 2
				exp += 1

		# n - 1=d*(2**exp)
		lowerCAmelCase__       :      Optional[Any]   					= 0
		while count < prec:
				lowerCAmelCase__       :      Optional[Any]   					= random.randint(2     ,       n - 1	)
				lowerCAmelCase__       :      List[Any]   					= bin_exp_mod(_a     ,       _a     ,       _a	)
				if b != 1:
						lowerCAmelCase__       :      Dict   					= True
						for _ in range(_a	):
								if b == n - 1:
										lowerCAmelCase__       :      Union[str, Any]   					= False
										break
								lowerCAmelCase__       :      Tuple   					= b * b
								b %= n
						if flag:
								return False
						count += 1
		return True


if __name__ == "__main__":
		lowerCamelCase						=		abs(int(input('''Enter bound : ''').strip()))
		print('''Here\'s the list of primes:''')
		print(''', '''.join(str(i) for i in range(n + 1) if is_prime_big(i)))




