


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


SCREAMING_SNAKE_CASE       :		Optional[Any]         =				get_tests_dir("fixtures/test_sentencepiece.model")

SCREAMING_SNAKE_CASE       :		List[str]         =				{"target_lang": "fi", "source_lang": "en"}
SCREAMING_SNAKE_CASE       :		Optional[int]         =				">>zh<<"
SCREAMING_SNAKE_CASE       :		Optional[Any]         =				"Helsinki-NLP/"

if is_torch_available():
   SCREAMING_SNAKE_CASE       :		Tuple         =				"pt"
elif is_tf_available():
   SCREAMING_SNAKE_CASE       :		Union[str, Any]         =				"tf"
else:
   SCREAMING_SNAKE_CASE       :		List[str]         =				"jax"






@require_sentencepiece
class      UpperCamelCase					(		lowercase__						,      unittest.TestCase     ):


   '''simple docstring'''







   lowercase					:	List[Any]									=MarianTokenizer
   lowercase					:	Any									=False
   lowercase					:	List[str]									=True
   def 		UpperCamelCase  (     self		):
        super().setUp()
        lowercase_       :List[Any]     =       ['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
        lowercase_       :Tuple     =       dict(zip(UpperCamelCase_   ,							range(len(UpperCamelCase_		)		)		)		)
        lowercase_       :Optional[int]     =       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''']		)

        lowercase_       :int     =       MarianTokenizer.from_pretrained(self.tmpdirname		)
        tokenizer.save_pretrained(self.tmpdirname		)
   def 		UpperCamelCase  (     self   ,							**UpperCamelCase_		):
        return MarianTokenizer.from_pretrained(self.tmpdirname   ,							**UpperCamelCase_		)
   def 		UpperCamelCase  (     self   ,							UpperCamelCase_		):
        return (
            "This is a test",
            "This is a test",
        )
   def 		UpperCamelCase  (     self		):
        lowercase_       :Optional[Any]     =       '''</s>'''
        lowercase_       :str     =       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		):
        lowercase_       :int     =       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		):
        lowercase_       :Optional[Any]     =       MarianTokenizer.from_pretrained(f"{ORG_NAME}opus-mt-en-de"		)
        lowercase_       :Dict     =       en_de_tokenizer(['''I am a small frog''']   ,							return_tensors=UpperCamelCase_		)
        self.assertIsInstance(UpperCamelCase_   ,							UpperCamelCase_		)
        lowercase_       :Dict     =       [38, 121, 14, 697, 3_8848, 0]
        self.assertListEqual(UpperCamelCase_   ,							batch.input_ids[0]		)

        lowercase_       :Optional[int]     =       tempfile.mkdtemp()
        en_de_tokenizer.save_pretrained(UpperCamelCase_		)
        lowercase_       :Tuple     =       [x.name for x in Path(UpperCamelCase_		).glob('''*'''		)]
        self.assertIn('''source.spm'''   ,							UpperCamelCase_		)
        MarianTokenizer.from_pretrained(UpperCamelCase_		)
   def 		UpperCamelCase  (     self		):
        lowercase_       :Tuple     =       self.get_tokenizer()

        lowercase_       :int     =       tok(
            ['''I am a small frog''' * 1000, '''I am a small frog''']   ,							padding=UpperCamelCase_   ,							truncation=UpperCamelCase_   ,							return_tensors=UpperCamelCase_		)
        self.assertIsInstance(UpperCamelCase_   ,							UpperCamelCase_		)
        self.assertEqual(batch.input_ids.shape   ,							(2, 512)		)
   def 		UpperCamelCase  (     self		):
        lowercase_       :Dict     =       self.get_tokenizer()
        lowercase_       :Union[str, Any]     =       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		):
        # fmt: off
        lowercase_       :str     =       {'''input_ids''': [[4_3495, 462, 20, 4_2164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 3_8999, 6, 8, 464, 132, 1703, 492, 13, 4669, 3_7867, 13, 7525, 27, 1593, 988, 13, 3_3972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 1_2338, 2, 1_3958, 387, 2, 3629, 6953, 188, 2900, 2, 1_3958, 8011, 1_1501, 23, 8460, 4073, 3_4009, 20, 435, 1_1439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 3_7867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 2_6453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 1_0767, 6, 316, 304, 4239, 3, 0], [148, 1_5722, 19, 1839, 12, 1350, 13, 2_2327, 5082, 5418, 4_7567, 3_5938, 59, 318, 1_9552, 108, 2183, 54, 1_4976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 1_9088, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100], [36, 6395, 1_2570, 3_9147, 1_1597, 6, 266, 4, 4_5405, 7296, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100]], '''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		):
        lowercase_       :Dict     =       MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''		)

        lowercase_       :Optional[int]     =       '''Tämä on testi'''
        lowercase_       :Dict     =       '''This is a test'''

        lowercase_       :int     =       [76, 7, 2047, 2]
        lowercase_       :Union[str, Any]     =       [69, 12, 11, 940, 2]

        lowercase_       :Any     =       tokenizer(UpperCamelCase_		).input_ids
        self.assertListEqual(UpperCamelCase_   ,							UpperCamelCase_		)

        lowercase_       :Tuple     =       tokenizer(text_target=UpperCamelCase_		).input_ids
        self.assertListEqual(UpperCamelCase_   ,							UpperCamelCase_		)

        lowercase_       :Dict     =       tokenizer.decode(UpperCamelCase_   ,							skip_special_tokens=UpperCamelCase_		)
        self.assertEqual(UpperCamelCase_   ,							UpperCamelCase_		)





def     UpperCamelCase    (      _a       ,		_a       ,		_a		)					->							int:
     '''simple docstring'''





     def count_of_possible_combinations(_a		) -> int:
          if target < 0:
               return 0
          if target == 0:
               return 1
          return sum(count_of_possible_combinations(target - item		) for item in array		)

     return count_of_possible_combinations(_a		)




def     UpperCamelCase    (      _a       ,		_a       ,		_a		)					->							int:
     '''simple docstring'''





     def count_of_possible_combinations_with_dp_array(
         _a       ,		_a		) -> int:
          if target < 0:
               return 0
          if target == 0:
               return 1
          if dp_array[target] != -1:
               return dp_array[target]
          lowercase_       :Optional[int]     =       sum(
              count_of_possible_combinations_with_dp_array(target - item       ,		_a		)
              for item in array		)
          lowercase_       :List[Any]     =       answer
          return answer

     lowercase_       :Dict     =       [-1] * (target + 1)
     return count_of_possible_combinations_with_dp_array(_a       ,		_a		)




def     UpperCamelCase    (      _a       ,		_a       ,		_a		)					->							int:
     '''simple docstring'''





     lowercase_       :Optional[int]     =       [0] * (target + 1)
     lowercase_       :int     =       1

     for i in range(1       ,		target + 1		):
          for j in range(_a		):
               if i - array[j] >= 0:
                    dp_array[i] += dp_array[i - array[j]]

     return dp_array[target]


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   SCREAMING_SNAKE_CASE       :		Optional[Any]         =				3
   SCREAMING_SNAKE_CASE       :		Tuple         =				5
   SCREAMING_SNAKE_CASE       :		List[Any]         =				[1, 2, 5]
   print(combination_sum_iv(n, array, target))

