


"""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


__snake_case   			=    get_tests_dir("""fixtures/test_sentencepiece.model""")

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

if is_torch_available():
  __snake_case   			=    """pt"""
elif is_tf_available():
  __snake_case   			=    """tf"""
else:
  __snake_case   			=    """jax"""







@require_sentencepiece
class _lowerCAmelCase				(      snake_case_    ,							unittest.TestCase	):
   __UpperCAmelCase :       Tuple							  =  MarianTokenizer
   __UpperCAmelCase :       Union[str, Any]							  =  False
   __UpperCAmelCase :       Any							  =  True







   def  lowerCamelCase		(	self						)	->		List[Any]:

       '''simple docstring'''




       super().setUp()
       snake_case    :      List[Any]      					=    ["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
       snake_case    :      List[str]      					=    dict(zip(UpperCamelCase__						,	range(len(UpperCamelCase__						)						)						)						)
       snake_case    :      Optional[Any]      					=    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"]						)

       snake_case    :      int      					=    MarianTokenizer.from_pretrained(self.tmpdirname						)
       tokenizer.save_pretrained(self.tmpdirname						)







   def  lowerCamelCase		(	self						,	**UpperCamelCase__						)	->		MarianTokenizer:

       '''simple docstring'''




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







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		List[Any]:

       '''simple docstring'''




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







   def  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      List[str]      					=    "</s>"
       snake_case    :      Tuple      					=    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						)	->		Dict:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    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  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




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







   def  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       snake_case    :      str      					=    MarianTokenizer.from_pretrained(F'{ORG_NAME}opus-mt-en-de'						)
       snake_case    :      Optional[int]      					=    en_de_tokenizer(["I am a small frog"]						,	return_tensors=UpperCamelCase__						)
       self.assertIsInstance(UpperCamelCase__						,	UpperCamelCase__						)
       snake_case    :      Optional[Any]      					=    [38, 121, 14, 697, 3_8848, 0]
       self.assertListEqual(UpperCamelCase__						,	batch.input_ids[0]						)

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







   def  lowerCamelCase		(	self						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      Dict      					=    self.get_tokenizer()

       snake_case    :      str      					=    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  lowerCamelCase		(	self						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      Any      					=    self.get_tokenizer()
       snake_case    :      List[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  lowerCamelCase		(	self						)	->		Optional[int]:

       '''simple docstring'''




       snake_case    :      Dict      					=    {"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  lowerCamelCase		(	self						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      Optional[int]      					=    MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs"						)

       snake_case    :      Tuple      					=    "Tämä on testi"
       snake_case    :      Optional[int]      					=    "This is a test"

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

       snake_case    :      List[str]      					=    tokenizer(UpperCamelCase__						).input_ids
       self.assertListEqual(UpperCamelCase__						,	UpperCamelCase__						)

       snake_case    :      Any      					=    tokenizer(text_target=UpperCamelCase__						).input_ids
       self.assertListEqual(UpperCamelCase__						,	UpperCamelCase__						)

       snake_case    :      List[Any]      					=    tokenizer.decode(UpperCamelCase__						,	skip_special_tokens=UpperCamelCase__						)
       self.assertEqual(UpperCamelCase__						,	UpperCamelCase__						)









"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  list[int] )	->						float:


    """simple docstring"""





    if not nums:  # Makes sure that the list is not empty
        raise ValueError("List is empty" )

    snake_case    :      List[str]      					=    sum(lowercase ) / len(lowercase )  # Calculate the average
    return sum(abs(x - average ) for x in nums ) / len(lowercase )


if __name__ == "__main__":
  import doctest

  doctest.testmod()





