


'''simple docstring'''
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():
		__snake_case							   =  get_tests_dir('''fixtures/test_sentencepiece.model''')


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

__snake_case							   =  128022
__snake_case							   =  128028
@require_sentencepiece
class      lowercase			(							A__			,	unittest.TestCase      ):

		"""simple docstring"""

		_a									=       MaMaaaTokenizer
		_a									=       False
		_a									=       False
		_a									=       True




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							super().setUp()

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

							UpperCamelCase__     :List[Any]							      =				MaMaaaTokenizer.from_pretrained(self.tmpdirname							)
							tokenizer.save_pretrained(self.tmpdirname							)




		def 					lowerCAmelCase__       (	self					,     **UpperCamelCase_							):

							'''simple docstring'''


							return MaMaaaTokenizer.from_pretrained(self.tmpdirname					,     **UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							return (
							    "This is a test",
							    "This is a test",
							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Optional[int]							      =				'''</s>'''
							UpperCamelCase__     :Any							      =				0

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCamelCase_							)					,     UpperCamelCase_							)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCamelCase_							)					,     UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :List[str]							      =				self.get_tokenizer()
							UpperCamelCase__     :Dict							      =				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(UpperCamelCase_							)					,     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'''


							UpperCamelCase__     :Optional[Any]							      =				self.get_tokenizer()

							UpperCamelCase__     :Dict							      =				tokenizer.tokenize('''This is a test'''							)
							self.assertListEqual(UpperCamelCase_					,     ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']							)

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

							UpperCamelCase__     :Union[str, Any]							      =				tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]							)
							self.assertListEqual(UpperCamelCase_					,     ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']							)

							UpperCamelCase__     :List[Any]							      =				tokenizer.convert_tokens_to_string(UpperCamelCase_							)
							self.assertEqual(UpperCamelCase_					,     '''This is a test'''							)




		@slow
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Optional[int]							      =				{'''input_ids''': [[128022, 110108, 397, 11, 38272, 2247, 124811, 285, 18105, 1586, 207, 7, 39534, 4428, 397, 1019, 18105, 1586, 207, 7, 41337, 16786, 241, 7, 20214, 17, 125690, 10398, 7, 44378, 58069, 68342, 7798, 7343, 11, 299, 33310, 4, 158, 37350, 94077, 4569, 299, 33310, 90, 4, 52840, 290, 4, 31270, 112, 299, 682, 4, 52840, 39953, 14079, 193, 52519, 90894, 17894, 120697, 11, 40445, 551, 17, 1019, 52519, 90894, 17756, 963, 11, 40445, 480, 17, 9792, 1120, 5173, 1393, 6240, 16786, 241, 120996, 28, 1245, 1393, 118240, 11123, 1019, 93612, 2691, 10618, 98058, 120409, 1928, 279, 4, 40683, 367, 178, 207, 1019, 103, 103121, 506, 65296, 5, 2], [128022, 21217, 367, 117, 125450, 128, 719, 7, 7308, 40, 93612, 12669, 1116, 16704, 71, 17785, 3699, 15592, 35, 144, 9584, 241, 11943, 713, 950, 799, 2247, 88427, 150, 149, 118813, 120706, 1019, 106906, 81518, 28, 1224, 22799, 397, 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], [128022, 1658, 123311, 5155, 5578, 4722, 279, 14947, 2366, 1120, 1197, 14, 1348, 9232, 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=UpperCamelCase_					,     model_name='''facebook/m2m100_418M'''					,     revision='''c168bae485c864188cf9aa0e4108b0b6934dc91e'''					,     )



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

		"""simple docstring"""

		_a									=       'facebook/m2m100_418M'
		_a									=       [
		    'In my opinion, there are two levels of response from the French government.',
		    'NSA Affair Emphasizes Complete Lack of Debate on Intelligence',
		]
		_a									=       [
		    '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
		_a									=       [EN_CODE, 5_93, 19_49, 11_57_81, 4, 7_15_86, 42_34, 6_06_33, 12_62_33, 4_32, 12_38_08, 1_55_92, 11_97, 11_71_32, 12_06_18, 5, 2]




		@classmethod
		def 					lowerCAmelCase__       (	cls							):

							'''simple docstring'''


							UpperCamelCase__     :MaMaaaTokenizer							      =				MaMaaaTokenizer.from_pretrained(
							    cls.checkpoint_name					,     src_lang='''en'''					,     tgt_lang='''fr'''							)
							UpperCamelCase__     :Any							      =				1
							return cls




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							self.assertEqual(self.tokenizer.get_lang_id('''ar'''							)					,     128006							)
							self.assertEqual(self.tokenizer.get_lang_id('''en'''							)					,     128022							)
							self.assertEqual(self.tokenizer.get_lang_id('''ro'''							)					,     128076							)
							self.assertEqual(self.tokenizer.get_lang_id('''mr'''							)					,     128063							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Union[str, Any]							      =				self.tokenizer.get_vocab()
							self.assertEqual(len(UpperCamelCase_							)					,     self.tokenizer.vocab_size							)
							self.assertEqual(vocab['''<unk>''']					,     3							)
							self.assertIn(self.tokenizer.get_lang_token('''en'''							)					,     UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Any							      =				'''en'''
							UpperCamelCase__     :Any							      =				self.tokenizer.batch_encode_plus(self.src_text							).input_ids[0]
							self.assertListEqual(self.expected_src_tokens					,     UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							self.assertIn(UpperCamelCase_					,     self.tokenizer.all_special_ids							)
							# fmt: off
							UpperCamelCase__     :int							      =				[FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 14028, 136, 3286, 9706, 6, 90797, 6, 144012, 162, 88128, 30061, 5, 2]
							# fmt: on
							UpperCamelCase__     :int							      =				self.tokenizer.decode(UpperCamelCase_					,     skip_special_tokens=UpperCamelCase_							)
							UpperCamelCase__     :Any							      =				self.tokenizer.decode(generated_ids[1:]					,     skip_special_tokens=UpperCamelCase_							)
							self.assertEqual(UpperCamelCase_					,     UpperCamelCase_							)
							self.assertNotIn(self.tokenizer.eos_token					,     UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Any							      =				tempfile.mkdtemp()
							UpperCamelCase__     :str							      =				self.tokenizer.lang_token_to_id
							self.tokenizer.save_pretrained(UpperCamelCase_							)
							UpperCamelCase__     :Dict							      =				MaMaaaTokenizer.from_pretrained(UpperCamelCase_							)
							self.assertDictEqual(new_tok.lang_token_to_id					,     UpperCamelCase_							)




		@require_torch
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :str							      =				'''en'''
							UpperCamelCase__     :Tuple							      =				'''fr'''

							UpperCamelCase__     :Union[str, Any]							      =				self.tokenizer(self.src_text					,     text_target=self.tgt_text					,     padding=UpperCamelCase_					,     return_tensors='''pt'''							)

							UpperCamelCase__     :Optional[Any]							      =				shift_tokens_right(
							    batch['''labels''']					,     self.tokenizer.pad_token_id					,     self.tokenizer.eos_token_id							)

							for k in batch:
												UpperCamelCase__     :Optional[int]							      =				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'''


							UpperCamelCase__     :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]							)

							UpperCamelCase__     :int							      =				'''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'''


							UpperCamelCase__     :Optional[int]							      =				'''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							)]							)

							UpperCamelCase__     :List[str]							      =				'''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'''


							UpperCamelCase__     :List[Any]							      =				self.tokenizer._build_translation_inputs('''A test'''					,     return_tensors='''pt'''					,     src_lang='''en'''					,     tgt_lang='''ar'''							)

							self.assertEqual(
							    nested_simplify(UpperCamelCase_							)					,     {
							        # en_XX, A, test, EOS
							        '''input_ids''': [[128022, 58, 4183, 2]],
							        '''attention_mask''': [[1, 1, 1, 1]],
							        # ar_AR
							        '''forced_bos_token_id''': 128006,
							    }					,     )



'''simple docstring'''
import numpy as np


def     a   (    __a				,      __a				,      __a				,      __a				,      __a     )						->			Union[str, Any]:



					'''simple docstring'''






					UpperCamelCase__     :Tuple							      =				int(np.ceil((x_end - xa) / h     )     )
					UpperCamelCase__     :Optional[int]							      =				np.zeros((n + 1,)     )
					UpperCamelCase__     :List[str]							      =				ya
					UpperCamelCase__     :Tuple							      =				xa

					for k in range(__a     ):
										UpperCamelCase__     :Dict							      =				f(__a				,      y[k]     )
										UpperCamelCase__     :List[Any]							      =				f(x + 0.5 * h				,      y[k] + 0.5 * h * ka     )
										UpperCamelCase__     :Dict							      =				f(x + 0.5 * h				,      y[k] + 0.5 * h * ka     )
										UpperCamelCase__     :List[Any]							      =				f(x + h				,      y[k] + h * ka     )
										UpperCamelCase__     :List[str]							      =				y[k] + (1 / 6) * h * (ka + 2 * ka + 2 * ka + ka)
										x += h

					return y


if __name__ == "__main__":
		import doctest

		doctest.testmod()