

'''simple docstring'''





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

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
		from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase      				=     get_tests_dir('''fixtures/test_sentencepiece.model''')

lowerCamelCase      				=     {'target_lang': 'fi', 'source_lang': 'en'}
lowerCamelCase      				=     '>>zh<<'
lowerCamelCase      				=     'Helsinki-NLP/'

if is_torch_available():
		lowerCamelCase      				=     'pt'
elif is_tf_available():
		lowerCamelCase      				=     'tf'
else:
		lowerCamelCase      				=     'jax'





@require_sentencepiece
class     snake_case_			(				lowerCamelCase__			, unittest.TestCase							):


							"""simple docstring"""





							__UpperCAmelCase       =MarianTokenizer
							__UpperCAmelCase       =False
							__UpperCAmelCase       =True




							def        A__  ( self							):
												super().setUp()
												__lowerCAmelCase					=							['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
												__lowerCAmelCase					=							dict(zip(__lowerCamelCase					,						range(len(__lowerCamelCase							)							)							)							)
												__lowerCAmelCase					=							Path(self.tmpdirname							)
												save_json(__lowerCamelCase					,						save_dir / VOCAB_FILES_NAMES['vocab']							)
												save_json(__lowerCamelCase					,						save_dir / VOCAB_FILES_NAMES['tokenizer_config_file']							)
												if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
																	copyfile(__lowerCamelCase					,						save_dir / VOCAB_FILES_NAMES['source_spm']							)
																	copyfile(__lowerCamelCase					,						save_dir / VOCAB_FILES_NAMES['target_spm']							)

												__lowerCAmelCase					=							MarianTokenizer.from_pretrained(self.tmpdirname							)
												tokenizer.save_pretrained(self.tmpdirname							)




							def        A__  ( self					,						**_A							):
												return MarianTokenizer.from_pretrained(self.tmpdirname					,						**__lowerCamelCase							)




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




							def        A__  ( self							):
												__lowerCAmelCase					=							'''</s>'''
												__lowerCAmelCase					=							0

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




							def        A__  ( self							):
												__lowerCAmelCase					=							list(self.get_tokenizer().get_vocab().keys()							)

												self.assertEqual(vocab_keys[0]					,						'</s>'							)
												self.assertEqual(vocab_keys[1]					,						'<unk>'							)
												self.assertEqual(vocab_keys[-1]					,						'<pad>'							)
												self.assertEqual(len(__lowerCamelCase							)					,						9							)




							def        A__  ( self							):
												self.assertEqual(self.get_tokenizer().vocab_size					,						9							)




							def        A__  ( self							):
												__lowerCAmelCase					=							MarianTokenizer.from_pretrained(F"""{ORG_NAME}opus-mt-en-de"""							)
												__lowerCAmelCase					=							en_de_tokenizer(['I am a small frog']					,						return_tensors=__lowerCamelCase							)
												self.assertIsInstance(__lowerCamelCase					,						__lowerCamelCase							)
												__lowerCAmelCase					=							[3_8, 1_2_1, 1_4, 6_9_7, 3_8_8_4_8, 0]
												self.assertListEqual(__lowerCamelCase					,						batch.input_ids[0]							)

												__lowerCAmelCase					=							tempfile.mkdtemp()
												en_de_tokenizer.save_pretrained(__lowerCamelCase							)
												__lowerCAmelCase					=							[x.name for x in Path(__lowerCamelCase							).glob('*'							)]
												self.assertIn('source.spm'					,						__lowerCamelCase							)
												MarianTokenizer.from_pretrained(__lowerCamelCase							)




							def        A__  ( self							):
												__lowerCAmelCase					=							self.get_tokenizer()

												__lowerCAmelCase					=							tok(
												    ['I am a small frog' * 1_0_0_0, 'I am a small frog']					,						padding=__lowerCamelCase					,						truncation=__lowerCamelCase					,						return_tensors=__lowerCamelCase							)
												self.assertIsInstance(__lowerCamelCase					,						__lowerCamelCase							)
												self.assertEqual(batch.input_ids.shape					,						(2, 5_1_2)							)




							def        A__  ( self							):
												__lowerCAmelCase					=							self.get_tokenizer()
												__lowerCAmelCase					=							tok(['I am a tiny frog', 'I am a small frog']					,						padding=__lowerCamelCase					,						return_tensors=__lowerCamelCase							)
												self.assertIsInstance(__lowerCamelCase					,						__lowerCamelCase							)
												self.assertEqual(batch_smaller.input_ids.shape					,						(2, 1_0)							)




							@slow
							def        A__  ( self							):
												__lowerCAmelCase					=							{'''input_ids''': [[4_3_4_9_5, 4_6_2, 2_0, 4_2_1_6_4, 1_3_6_9, 5_2, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 7_4_9_1, 3_8_9_9_9, 6, 8, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 4_6_6_9, 3_7_8_6_7, 1_3, 7_5_2_5, 2_7, 1_5_9_3, 9_8_8, 1_3, 3_3_9_7_2, 7_0_2_9, 6, 2_0, 8_2_5_1, 3_8_3, 2, 2_7_0, 5_8_6_6, 3_7_8_8, 2, 2_3_5_3, 8_2_5_1, 1_2_3_3_8, 2, 1_3_9_5_8, 3_8_7, 2, 3_6_2_9, 6_9_5_3, 1_8_8, 2_9_0_0, 2, 1_3_9_5_8, 8_0_1_1, 1_1_5_0_1, 2_3, 8_4_6_0, 4_0_7_3, 3_4_0_0_9, 2_0, 4_3_5, 1_1_4_3_9, 2_7, 8, 8_4_6_0, 4_0_7_3, 6_0_0_4, 2_0, 9_9_8_8, 3_7_5, 2_7, 3_3, 2_6_6, 1_9_4_5, 1_0_7_6, 1_3_5_0, 3_7_8_6_7, 3_2_8_8, 5, 5_7_7, 1_0_7_6, 4_3_7_4, 8, 5_0_8_2, 5, 2_6_4_5_3, 2_5_7, 5_5_6, 4_0_3, 2, 2_4_2, 1_3_2, 3_8_3, 3_1_6, 4_9_2, 8, 1_0_7_6_7, 6, 3_1_6, 3_0_4, 4_2_3_9, 3, 0], [1_4_8, 1_5_7_2_2, 1_9, 1_8_3_9, 1_2, 1_3_5_0, 1_3, 2_2_3_2_7, 5_0_8_2, 5_4_1_8, 4_7_5_6_7, 3_5_9_3_8, 5_9, 3_1_8, 1_9_5_5_2, 1_0_8, 2_1_8_3, 5_4, 1_4_9_7_6, 4_8_3_5, 3_2, 5_4_7, 1_1_1_4, 8, 3_1_5, 2_4_1_7, 5, 9_2, 1_9_0_8_8, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0], [3_6, 6_3_9_5, 1_2_5_7_0, 3_9_1_4_7, 1_1_5_9_7, 6, 2_6_6, 4, 4_5_4_0_5, 7_2_9_6, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0]], '''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, 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], [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]]}  # noqa: E501
												# fmt: on

												self.tokenizer_integration_test_util(
												    expected_encoding=__lowerCamelCase					,						model_name='Helsinki-NLP/opus-mt-en-de'					,						revision='1a8c2263da11e68e50938f97e10cd57820bd504c'					,						decode_kwargs={'use_source_tokenizer': True}					,						)




							def        A__  ( self							):
												__lowerCAmelCase					=							MarianTokenizer.from_pretrained('hf-internal-testing/test-marian-two-vocabs'							)

												__lowerCAmelCase					=							'''Tämä on testi'''
												__lowerCAmelCase					=							'''This is a test'''

												__lowerCAmelCase					=							[7_6, 7, 2_0_4_7, 2]
												__lowerCAmelCase					=							[6_9, 1_2, 1_1, 9_4_0, 2]

												__lowerCAmelCase					=							tokenizer(__lowerCamelCase							).input_ids
												self.assertListEqual(__lowerCamelCase					,						__lowerCamelCase							)

												__lowerCAmelCase					=							tokenizer(text_target=__lowerCamelCase							).input_ids
												self.assertListEqual(__lowerCamelCase					,						__lowerCamelCase							)

												__lowerCAmelCase					=							tokenizer.decode(__lowerCamelCase					,						skip_special_tokens=__lowerCamelCase							)
												self.assertEqual(__lowerCamelCase					,						__lowerCamelCase							)









def        __lowercase    (  UpperCAmelCase__ = 10		,					UpperCAmelCase__ = 1_000		,					UpperCAmelCase__ = True      ):

					"""simple docstring"""






					assert (
					    isinstance(UpperCAmelCase__		,					UpperCAmelCase__      )
					    and isinstance(UpperCAmelCase__		,					UpperCAmelCase__      )
					    and isinstance(UpperCAmelCase__		,					UpperCAmelCase__      )
					), "Invalid type of value(s) specified to function!"

					if min_val > max_val:
										raise ValueError('Invalid value for min_val or max_val (min_value < max_value)'      )
					return min_val if option else max_val


def        __lowercase    (  UpperCAmelCase__		,					UpperCAmelCase__      ):

					"""simple docstring"""






					return int((number_a + number_a) / 2      )


def        __lowercase    (  UpperCAmelCase__		,					UpperCAmelCase__		,					UpperCAmelCase__      ):

					"""simple docstring"""






					assert (
					    isinstance(UpperCAmelCase__		,					UpperCAmelCase__      ) and isinstance(UpperCAmelCase__		,					UpperCAmelCase__      ) and isinstance(UpperCAmelCase__		,					UpperCAmelCase__      )
					), 'argument values must be type of "int"'

					if lower > higher:
										raise ValueError('argument value for lower and higher must be(lower > higher)'      )

					if not lower < to_guess < higher:
										raise ValueError(
										    'guess value must be within the range of lower and higher value'      )

					def answer(UpperCAmelCase__      ) -> str:
										if number > to_guess:
															return "high"
										elif number < to_guess:
															return "low"
										else:
															return "same"

					print('started...'      )

					__lowerCAmelCase					=							lower
					__lowerCAmelCase					=							higher

					__lowerCAmelCase					=							[]

					while True:
										__lowerCAmelCase					=							get_avg(UpperCAmelCase__		,					UpperCAmelCase__      )
										last_numbers.append(UpperCAmelCase__      )

										if answer(UpperCAmelCase__      ) == "low":
															__lowerCAmelCase					=							number
										elif answer(UpperCAmelCase__      ) == "high":
															__lowerCAmelCase					=							number
										else:
															break

					print(F"""guess the number : {last_numbers[-1]}"""      )
					print(F"""details : {last_numbers!s}"""      )


def        __lowercase    (  ):

					"""simple docstring"""






					__lowerCAmelCase					=							int(input('Enter lower value : '      ).strip()      )
					__lowerCAmelCase					=							int(input('Enter high value : '      ).strip()      )
					__lowerCAmelCase					=							int(input('Enter value to guess : '      ).strip()      )
					guess_the_number(UpperCAmelCase__		,					UpperCAmelCase__		,					UpperCAmelCase__      )


if __name__ == "__main__":
		main()






