



import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
__lowerCamelCase         =			[
    '''kernels/rwkv/wkv_cuda.cu''',
    '''kernels/rwkv/wkv_op.cpp''',
    '''kernels/deformable_detr/ms_deform_attn.h''',
    '''kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh''',
    '''models/graphormer/algos_graphormer.pyx''',
]







def    _snake_case (       __snake_case    )     ->     Tuple:






      '''simple docstring'''







      for file in FILES_TO_FIND:
            if not (transformers_path / file).exists():
                  return False
      return True


if __name__ == "__main__":
   __lowerCamelCase         =			argparse.ArgumentParser()
   parser.add_argument('''--check_lib''', action='''store_true''', help='''Whether to check the build or the actual package.''')
   __lowerCamelCase         =			parser.parse_args()
   if args.check_lib:
      __lowerCamelCase         =			importlib.import_module('''transformers''')
      __lowerCamelCase         =			Path(transformers_module.__file__).parent
   else:
      __lowerCamelCase         =			Path.cwd() / '''build/lib/transformers'''
   if not test_custom_files_are_present(transformers_path):
      raise ValueError('''The built release does not contain the custom files. Fix this before going further!''')





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_ (lowercase__ , unittest.TestCase  ):




       """simple docstring"""






       _lowerCamelCase			    =				MarianTokenizer
       _lowerCamelCase			    =				False
       _lowerCamelCase			    =				True



       def  A_   (     self):

             """simple docstring"""





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

             UpperCAmelCase_  :	str				      =		MarianTokenizer.from_pretrained(self.tmpdirname)
             tokenizer.save_pretrained(self.tmpdirname)



       def  A_   (     self     ,**lowercase):

             """simple docstring"""





             return MarianTokenizer.from_pretrained(self.tmpdirname     ,**lowercase)



       def  A_   (     self     ,lowercase):

             """simple docstring"""





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



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	Union[str, Any]				      =		"</s>"
             UpperCAmelCase_  :	List[str]				      =		0

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



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	List[str]				      =		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(lowercase)     ,9)



       def  A_   (     self):

             """simple docstring"""





             self.assertEqual(self.get_tokenizer().vocab_size     ,9)



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	List[str]				      =		MarianTokenizer.from_pretrained(F"""{ORG_NAME}opus-mt-en-de""")
             UpperCAmelCase_  :	Optional[int]				      =		en_de_tokenizer(["I am a small frog"]     ,return_tensors=lowercase)
             self.assertIsInstance(lowercase     ,lowercase)
             UpperCAmelCase_  :	Union[str, Any]				      =		[38, 121, 14, 697, 38848, 0]
             self.assertListEqual(lowercase     ,batch.input_ids[0])

             UpperCAmelCase_  :	Optional[int]				      =		tempfile.mkdtemp()
             en_de_tokenizer.save_pretrained(lowercase)
             UpperCAmelCase_  :	Any				      =		[x.name for x in Path(lowercase).glob("*")]
             self.assertIn("source.spm"     ,lowercase)
             MarianTokenizer.from_pretrained(lowercase)



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	Any				      =		self.get_tokenizer()

             UpperCAmelCase_  :	List[Any]				      =		tok(
                 ["I am a small frog" * 1000, "I am a small frog"]     ,padding=lowercase     ,truncation=lowercase     ,return_tensors=lowercase)
             self.assertIsInstance(lowercase     ,lowercase)
             self.assertEqual(batch.input_ids.shape     ,(2, 512))



       def  A_   (     self):

             """simple docstring"""





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



       @slow
       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	Dict				      =		{"input_ids": [[43495, 462, 20, 42164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 38999, 6, 8, 464, 132, 1703, 492, 13, 4669, 37867, 13, 7525, 27, 1593, 988, 13, 33972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 12338, 2, 13958, 387, 2, 3629, 6953, 188, 2900, 2, 13958, 8011, 11501, 23, 8460, 4073, 34009, 20, 435, 11439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 37867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 26453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10767, 6, 316, 304, 4239, 3, 0], [148, 15722, 19, 1839, 12, 1350, 13, 22327, 5082, 5418, 47567, 35938, 59, 318, 19552, 108, 2183, 54, 14976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 19088, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100], [36, 6395, 12570, 39147, 11597, 6, 266, 4, 45405, 7296, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100]], "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=lowercase     ,model_name="Helsinki-NLP/opus-mt-en-de"     ,revision="1a8c2263da11e68e50938f97e10cd57820bd504c"     ,decode_kwargs={"use_source_tokenizer": True}     ,)



       def  A_   (     self):

             """simple docstring"""





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

             UpperCAmelCase_  :	Any				      =		"Tämä on testi"
             UpperCAmelCase_  :	List[str]				      =		"This is a test"

             UpperCAmelCase_  :	int				      =		[76, 7, 2047, 2]
             UpperCAmelCase_  :	Any				      =		[69, 12, 11, 940, 2]

             UpperCAmelCase_  :	Any				      =		tokenizer(lowercase).input_ids
             self.assertListEqual(lowercase     ,lowercase)

             UpperCAmelCase_  :	Any				      =		tokenizer(text_target=lowercase).input_ids
             self.assertListEqual(lowercase     ,lowercase)

             UpperCAmelCase_  :	List[Any]				      =		tokenizer.decode(lowercase     ,skip_special_tokens=lowercase)
             self.assertEqual(lowercase     ,lowercase)
