
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 	__A(				snake_case_				,      unittest.TestCase ):

  """simple docstring"""
  SCREAMING_SNAKE_CASE__			    =			MarianTokenizer
  SCREAMING_SNAKE_CASE__			    =			False
  SCREAMING_SNAKE_CASE__			    =			True







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

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







  def        UpperCAmelCase_					(self       ,			**SCREAMING_SNAKE_CASE_						):
       return MarianTokenizer.from_pretrained(self.tmpdirname       ,			**UpperCamelCase__						)







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







  def        UpperCAmelCase_					(self						):
       UpperCamelCase__				=				"</s>"
       UpperCamelCase__				=				0

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







  def        UpperCAmelCase_					(self						):
       UpperCamelCase__				=				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(UpperCamelCase__						)       ,			9						)







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







  def        UpperCAmelCase_					(self						):
       UpperCamelCase__				=				MarianTokenizer.from_pretrained(F"{ORG_NAME}opus-mt-en-de"						)
       UpperCamelCase__				=				en_de_tokenizer(["""I am a small frog"""]       ,			return_tensors=UpperCamelCase__						)
       self.assertIsInstance(UpperCamelCase__       ,			UpperCamelCase__						)
       UpperCamelCase__				=				[38, 1_21, 14, 6_97, 3_88_48, 0]
       self.assertListEqual(UpperCamelCase__       ,			batch.input_ids[0]						)

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







  def        UpperCAmelCase_					(self						):
       UpperCamelCase__				=				self.get_tokenizer()

       UpperCamelCase__				=				tok(
           ["""I am a small frog""" * 10_00, """I am a small frog"""]       ,			padding=UpperCamelCase__       ,			truncation=UpperCamelCase__       ,			return_tensors=UpperCamelCase__						)
       self.assertIsInstance(UpperCamelCase__       ,			UpperCamelCase__						)
       self.assertEqual(batch.input_ids.shape       ,			(2, 5_12)						)







  def        UpperCAmelCase_					(self						):
       UpperCamelCase__				=				self.get_tokenizer()
       UpperCamelCase__				=				tok(["""I am a tiny frog""", """I am a small frog"""]       ,			padding=UpperCamelCase__       ,			return_tensors=UpperCamelCase__						)
       self.assertIsInstance(UpperCamelCase__       ,			UpperCamelCase__						)
       self.assertEqual(batch_smaller.input_ids.shape       ,			(2, 10)						)







  @slow
  def        UpperCAmelCase_					(self						):
       UpperCamelCase__				=				{"input_ids": [[4_34_95, 4_62, 20, 4_21_64, 13_69, 52, 4_64, 1_32, 17_03, 4_92, 13, 74_91, 3_89_99, 6, 8, 4_64, 1_32, 17_03, 4_92, 13, 46_69, 3_78_67, 13, 75_25, 27, 15_93, 9_88, 13, 3_39_72, 70_29, 6, 20, 82_51, 3_83, 2, 2_70, 58_66, 37_88, 2, 23_53, 82_51, 1_23_38, 2, 1_39_58, 3_87, 2, 36_29, 69_53, 1_88, 29_00, 2, 1_39_58, 80_11, 1_15_01, 23, 84_60, 40_73, 3_40_09, 20, 4_35, 1_14_39, 27, 8, 84_60, 40_73, 60_04, 20, 99_88, 3_75, 27, 33, 2_66, 19_45, 10_76, 13_50, 3_78_67, 32_88, 5, 5_77, 10_76, 43_74, 8, 50_82, 5, 2_64_53, 2_57, 5_56, 4_03, 2, 2_42, 1_32, 3_83, 3_16, 4_92, 8, 1_07_67, 6, 3_16, 3_04, 42_39, 3, 0], [1_48, 1_57_22, 19, 18_39, 12, 13_50, 13, 2_23_27, 50_82, 54_18, 4_75_67, 3_59_38, 59, 3_18, 1_95_52, 1_08, 21_83, 54, 1_49_76, 48_35, 32, 5_47, 11_14, 8, 3_15, 24_17, 5, 92, 1_90_88, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00], [36, 63_95, 1_25_70, 3_91_47, 1_15_97, 6, 2_66, 4, 4_54_05, 72_96, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00]], "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=UpperCamelCase__       ,			model_name="""Helsinki-NLP/opus-mt-en-de"""       ,			revision="""1a8c2263da11e68e50938f97e10cd57820bd504c"""       ,			decode_kwargs={"""use_source_tokenizer""": True}       ,			)







  def        UpperCAmelCase_					(self						):
       UpperCamelCase__				=				MarianTokenizer.from_pretrained("""hf-internal-testing/test-marian-two-vocabs"""						)

       UpperCamelCase__				=				"Tämä on testi"
       UpperCamelCase__				=				"This is a test"

       UpperCamelCase__				=				[76, 7, 20_47, 2]
       UpperCamelCase__				=				[69, 12, 11, 9_40, 2]

       UpperCamelCase__				=				tokenizer(UpperCamelCase__						).input_ids
       self.assertListEqual(UpperCamelCase__       ,			UpperCamelCase__						)

       UpperCamelCase__				=				tokenizer(text_target=UpperCamelCase__						).input_ids
       self.assertListEqual(UpperCamelCase__       ,			UpperCamelCase__						)

       UpperCamelCase__				=				tokenizer.decode(UpperCamelCase__       ,			skip_special_tokens=UpperCamelCase__						)
       self.assertEqual(UpperCamelCase__       ,			UpperCamelCase__						)









"""simple docstring"""



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


    """simple docstring"""





    snake_case    :      Dict      					=    []
    snake_case    :      List[Any]      					=    1

    while len(lowercase ) < 1e6:
        constant.append(str(lowercase ) )
        i += 1

    snake_case    :      Tuple      					=    "".join(lowercase )

    return (
        int(constant[0] )
        * int(constant[9] )
        * int(constant[99] )
        * int(constant[999] )
        * int(constant[9999] )
        * int(constant[9_9999] )
        * int(constant[99_9999] )
    )


if __name__ == "__main__":
  print(solution())





