import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
	from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
	_UpperCAmelCase            =		get_tests_dir("""fixtures/test_sentencepiece.model""")


if is_torch_available():
	from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

_UpperCAmelCase            =		128022
_UpperCAmelCase            =		128028





@require_sentencepiece
class UpperCAmelCase						( __A ,	unittest.TestCase  ):


				'''simple docstring'''






				lowerCamelCase_    = MaMaaaTokenizer
				lowerCamelCase_    = False
				lowerCamelCase_    = False
				lowerCamelCase_    = True
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						super().setUp()

						A_		:    Tuple         =				['</s>', '<unk>', '▁This', '▁is', '▁a', '▁t', 'est', '\u0120', '<pad>']
						A_		:    Any         =				dict(zip(lowercase		,     range(len(lowercase ) ) ) )
						A_		:    List[str]         =				Path(self.tmpdirname )
						save_json(lowercase		,     save_dir / VOCAB_FILES_NAMES['vocab_file'] )
						if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
								copyfile(lowercase		,     save_dir / VOCAB_FILES_NAMES['spm_file'] )

						A_		:    int         =				MaMaaaTokenizer.from_pretrained(self.tmpdirname )
						tokenizer.save_pretrained(self.tmpdirname )
				def   lowerCAmelCase_       (						self		,     **lowercase ):



						"""simple docstring"""





						return MaMaaaTokenizer.from_pretrained(self.tmpdirname		,     **lowercase )
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						return (
						    "This is a test",
						    "This is a test",
						)
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    str         =				'</s>'
						A_		:    int         =				0

						self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowercase )		,     lowercase )
						self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowercase )		,     lowercase )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Union[str, Any]         =				self.get_tokenizer()
						A_		:    Tuple         =				list(tokenizer.get_vocab().keys() )

						self.assertEqual(vocab_keys[0]		,     '</s>' )
						self.assertEqual(vocab_keys[1]		,     '<unk>' )
						self.assertEqual(vocab_keys[-1]		,     '<s>' )
						self.assertEqual(len(lowercase )		,     tokenizer.vocab_size + len(tokenizer.get_added_vocab() ) )
				@unittest.skip('Skip this test while all models are still to be uploaded.' )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						pass
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Any         =				self.get_tokenizer()

						A_		:    List[str]         =				tokenizer.tokenize('This is a test' )
						self.assertListEqual(lowercase		,     ['▁This', '▁is', '▁a', '▁t', 'est'] )

						self.assertListEqual(
						    tokenizer.convert_tokens_to_ids(lowercase )		,     [2, 3, 4, 5, 6]		,     )

						A_		:    int         =				tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6] )
						self.assertListEqual(lowercase		,     ['▁This', '▁is', '▁a', '▁t', 'est'] )

						A_		:    Union[str, Any]         =				tokenizer.convert_tokens_to_string(lowercase )
						self.assertEqual(lowercase		,     'This is a test' )







				@slow
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Union[str, Any]         =				{'input_ids': [[1_2_8_0_2_2, 1_1_0_1_0_8, 3_9_7, 1_1, 3_8_2_7_2, 2_2_4_7, 1_2_4_8_1_1, 2_8_5, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 3_9_5_3_4, 4_4_2_8, 3_9_7, 1_0_1_9, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 4_1_3_3_7, 1_6_7_8_6, 2_4_1, 7, 2_0_2_1_4, 1_7, 1_2_5_6_9_0, 1_0_3_9_8, 7, 4_4_3_7_8, 5_8_0_6_9, 6_8_3_4_2, 7_7_9_8, 7_3_4_3, 1_1, 2_9_9, 3_3_3_1_0, 4, 1_5_8, 3_7_3_5_0, 9_4_0_7_7, 4_5_6_9, 2_9_9, 3_3_3_1_0, 9_0, 4, 5_2_8_4_0, 2_9_0, 4, 3_1_2_7_0, 1_1_2, 2_9_9, 6_8_2, 4, 5_2_8_4_0, 3_9_9_5_3, 1_4_0_7_9, 1_9_3, 5_2_5_1_9, 9_0_8_9_4, 1_7_8_9_4, 1_2_0_6_9_7, 1_1, 4_0_4_4_5, 5_5_1, 1_7, 1_0_1_9, 5_2_5_1_9, 9_0_8_9_4, 1_7_7_5_6, 9_6_3, 1_1, 4_0_4_4_5, 4_8_0, 1_7, 9_7_9_2, 1_1_2_0, 5_1_7_3, 1_3_9_3, 6_2_4_0, 1_6_7_8_6, 2_4_1, 1_2_0_9_9_6, 2_8, 1_2_4_5, 1_3_9_3, 1_1_8_2_4_0, 1_1_1_2_3, 1_0_1_9, 9_3_6_1_2, 2_6_9_1, 1_0_6_1_8, 9_8_0_5_8, 1_2_0_4_0_9, 1_9_2_8, 2_7_9, 4, 4_0_6_8_3, 3_6_7, 1_7_8, 2_0_7, 1_0_1_9, 1_0_3, 1_0_3_1_2_1, 5_0_6, 6_5_2_9_6, 5, 2], [1_2_8_0_2_2, 2_1_2_1_7, 3_6_7, 1_1_7, 1_2_5_4_5_0, 1_2_8, 7_1_9, 7, 7_3_0_8, 4_0, 9_3_6_1_2, 1_2_6_6_9, 1_1_1_6, 1_6_7_0_4, 7_1, 1_7_7_8_5, 3_6_9_9, 1_5_5_9_2, 3_5, 1_4_4, 9_5_8_4, 2_4_1, 1_1_9_4_3, 7_1_3, 9_5_0, 7_9_9, 2_2_4_7, 8_8_4_2_7, 1_5_0, 1_4_9, 1_1_8_8_1_3, 1_2_0_7_0_6, 1_0_1_9, 1_0_6_9_0_6, 8_1_5_1_8, 2_8, 1_2_2_4, 2_2_7_9_9, 3_9_7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1_2_8_0_2_2, 1_6_5_8, 1_2_3_3_1_1, 5_1_5_5, 5_5_7_8, 4_7_2_2, 2_7_9, 1_4_9_4_7, 2_3_6_6, 1_1_2_0, 1_1_9_7, 1_4, 1_3_4_8, 9_2_3_2, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
						# fmt: on

						self.tokenizer_integration_test_util(
						    expected_encoding=lowercase		,     model_name='facebook/m2m100_418M'		,     revision='c168bae485c864188cf9aa0e4108b0b6934dc91e'		,     )





@require_torch
@require_sentencepiece
@require_tokenizers
class UpperCAmelCase						( unittest.TestCase  ):


				'''simple docstring'''






				lowerCamelCase_    = '''facebook/m2m100_418M'''
				lowerCamelCase_    = [
				    '''In my opinion, there are two levels of response from the French government.''',
				    '''NSA Affair Emphasizes Complete Lack of Debate on Intelligence''',
				]
				lowerCamelCase_    = [
				    '''Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.''',
				    '''L\'affaire NSA souligne l\'absence totale de débat sur le renseignement''',
				]

				# fmt: off
				lowerCamelCase_    = [EN_CODE, 5_9_3, 1_9_4_9, 1_1_5_7_8_1, 4, 7_1_5_8_6, 4_2_3_4, 6_0_6_3_3, 1_2_6_2_3_3, 4_3_2, 1_2_3_8_0_8, 1_5_5_9_2, 1_1_9_7, 1_1_7_1_3_2, 1_2_0_6_1_8, 5, 2]
				@classmethod
				def   lowerCAmelCase_       (						cls ):



						"""simple docstring"""





						A_		:    MaMaaaTokenizer         =				MaMaaaTokenizer.from_pretrained(
						    cls.checkpoint_name		,     src_lang='en'		,     tgt_lang='fr' )
						A_		:    Any         =				1
						return cls
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						self.assertEqual(self.tokenizer.get_lang_id('ar' )		,     1_2_8_0_0_6 )
						self.assertEqual(self.tokenizer.get_lang_id('en' )		,     1_2_8_0_2_2 )
						self.assertEqual(self.tokenizer.get_lang_id('ro' )		,     1_2_8_0_7_6 )
						self.assertEqual(self.tokenizer.get_lang_id('mr' )		,     1_2_8_0_6_3 )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Any         =				self.tokenizer.get_vocab()
						self.assertEqual(len(lowercase )		,     self.tokenizer.vocab_size )
						self.assertEqual(vocab['<unk>']		,     3 )
						self.assertIn(self.tokenizer.get_lang_token('en' )		,     lowercase )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Tuple         =				'en'
						A_		:    List[str]         =				self.tokenizer.batch_encode_plus(self.src_text ).input_ids[0]
						self.assertListEqual(self.expected_src_tokens		,     lowercase )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						self.assertIn(lowercase		,     self.tokenizer.all_special_ids )
						# fmt: off
						A_		:    Any         =				[FR_CODE, 5_3_6_4, 8_2, 8_6_4_2, 4, 2_9_4, 4_7, 8, 1_4_0_2_8, 1_3_6, 3_2_8_6, 9_7_0_6, 6, 9_0_7_9_7, 6, 1_4_4_0_1_2, 1_6_2, 8_8_1_2_8, 3_0_0_6_1, 5, 2]
						# fmt: on
						A_		:    str         =				self.tokenizer.decode(lowercase		,     skip_special_tokens=lowercase )
						A_		:    List[str]         =				self.tokenizer.decode(generated_ids[1:]		,     skip_special_tokens=lowercase )
						self.assertEqual(lowercase		,     lowercase )
						self.assertNotIn(self.tokenizer.eos_token		,     lowercase )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    List[str]         =				tempfile.mkdtemp()
						A_		:    Dict         =				self.tokenizer.lang_token_to_id
						self.tokenizer.save_pretrained(lowercase )
						A_		:    Optional[Any]         =				MaMaaaTokenizer.from_pretrained(lowercase )
						self.assertDictEqual(new_tok.lang_token_to_id		,     lowercase )
				@require_torch
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    List[Any]         =				'en'
						A_		:    List[str]         =				'fr'

						A_		:    Dict         =				self.tokenizer(self.src_text		,     text_target=self.tgt_text		,     padding=lowercase		,     return_tensors='pt' )

						A_		:    int         =				shift_tokens_right(
						    batch['labels']		,     self.tokenizer.pad_token_id		,     self.tokenizer.eos_token_id )

						for k in batch:
								A_		:    Tuple         =				batch[k].tolist()
						# batch = {k: v.tolist() for k,v in batch.items()}
						# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
						# batch.decoder_inputs_ids[0][0] ==
						assert batch.input_ids[1][0] == EN_CODE
						assert batch.input_ids[1][-1] == 2
						assert batch.labels[1][0] == FR_CODE
						assert batch.labels[1][-1] == 2
						assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]
				@require_torch
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Dict         =				'mr'
						self.assertListEqual(self.tokenizer.prefix_tokens		,     [self.tokenizer.get_lang_id('mr' )] )
						self.assertListEqual(self.tokenizer.suffix_tokens		,     [self.tokenizer.eos_token_id] )

						A_		:    Optional[Any]         =				'zh'
						self.assertListEqual(self.tokenizer.prefix_tokens		,     [self.tokenizer.get_lang_id('zh' )] )
						self.assertListEqual(self.tokenizer.suffix_tokens		,     [self.tokenizer.eos_token_id] )
				@require_torch
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Union[str, Any]         =				'mr'
						self.tokenizer._switch_to_target_mode()
						self.assertListEqual(self.tokenizer.prefix_tokens		,     [self.tokenizer.get_lang_id('mr' )] )
						self.assertListEqual(self.tokenizer.suffix_tokens		,     [self.tokenizer.eos_token_id] )
						self.tokenizer._switch_to_input_mode()
						self.assertListEqual(self.tokenizer.prefix_tokens		,     [self.tokenizer.get_lang_id(self.tokenizer.src_lang )] )

						A_		:    Dict         =				'zh'
						self.tokenizer._switch_to_target_mode()
						self.assertListEqual(self.tokenizer.prefix_tokens		,     [self.tokenizer.get_lang_id('zh' )] )
						self.assertListEqual(self.tokenizer.suffix_tokens		,     [self.tokenizer.eos_token_id] )
						self.tokenizer._switch_to_input_mode()
						self.assertListEqual(self.tokenizer.prefix_tokens		,     [self.tokenizer.get_lang_id(self.tokenizer.src_lang )] )







				@require_torch
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Any         =				self.tokenizer._build_translation_inputs('A test'		,     return_tensors='pt'		,     src_lang='en'		,     tgt_lang='ar' )

						self.assertEqual(
						    nested_simplify(lowercase )		,     {
						        # en_XX, A, test, EOS
						        'input_ids': [[1_2_8_0_2_2, 5_8, 4_1_8_3, 2]],
						        'attention_mask': [[1, 1, 1, 1]],
						        # ar_AR
						        'forced_bos_token_id': 1_2_8_0_0_6,
						    }		,     )







from math import isqrt




def     UpperCamelCase						(	__lowercase						:			int     ):
		'''simple docstring'''




		return all(number % divisor != 0 for divisor in range(2						,isqrt(__lowercase     ) + 1     )     )




def     UpperCamelCase						(	__lowercase						:			int = 10**6     ):
		'''simple docstring'''




		A_		:    Optional[Any]         =				0
		A_		:    List[str]         =				1
		A_		:    Dict         =				7
		while prime_candidate < max_prime:
				primes_count += is_prime(__lowercase     )

				cube_index += 1
				prime_candidate += 6 * cube_index

		return primes_count


if __name__ == "__main__":
	print(F"""{solution() = }""")






