






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


__a      :       Dict				  =   get_tests_dir("fixtures/test_sentencepiece.model")

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

if is_torch_available():
  __a      :       str				  =   "pt"
elif is_tf_available():
  __a      :       str				  =   "tf"
else:
  __a      :       Optional[Any]				  =   "jax"


@require_sentencepiece
class       __lowercase      (	lowercase_			,      unittest.TestCase  ):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE   						=				MarianTokenizer
     SCREAMING_SNAKE_CASE   						=				False
     SCREAMING_SNAKE_CASE   						=				True




     def 		lowerCAmelCase_     (				self       :			List[Any]				):


         """simple docstring"""



         super().setUp()
         __A         =	["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
         __A         =	dict(zip(UpperCamelCase_ ,	range(len(UpperCamelCase_				)				)				)				)
         __A         =	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"""]				)

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




     def 		lowerCAmelCase_     (				self       :			Optional[int] ,	**UpperCamelCase_       :			Optional[Any]				):


         """simple docstring"""



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




     def 		lowerCAmelCase_     (				self       :			Any ,	UpperCamelCase_       :			Tuple				):


         """simple docstring"""



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




     def 		lowerCAmelCase_     (				self       :			List[Any]				):


         """simple docstring"""



         __A         =	"""</s>"""
         __A         =	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       :			Tuple				):


         """simple docstring"""



         __A         =	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       :			List[Any]				):


         """simple docstring"""



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




     def 		lowerCAmelCase_     (				self       :			Any				):


         """simple docstring"""



         __A         =	MarianTokenizer.from_pretrained(F"{ORG_NAME}opus-mt-en-de"				)
         __A         =	en_de_tokenizer(["""I am a small frog"""] ,	return_tensors=UpperCamelCase_				)
         self.assertIsInstance(UpperCamelCase_ ,	UpperCamelCase_				)
         __A         =	[38, 121, 14, 697, 38_848, 0]
         self.assertListEqual(UpperCamelCase_ ,	batch.input_ids[0]				)

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




     def 		lowerCAmelCase_     (				self       :			Optional[int]				):


         """simple docstring"""



         __A         =	self.get_tokenizer()

         __A         =	tok(
             ["""I am a small frog""" * 1_000, """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       :			int				):


         """simple docstring"""



         __A         =	self.get_tokenizer()
         __A         =	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       :			str				):


         """simple docstring"""



         __A         =	{"""input_ids""": [[43_495, 462, 20, 42_164, 1_369, 52, 464, 132, 1_703, 492, 13, 7_491, 38_999, 6, 8, 464, 132, 1_703, 492, 13, 4_669, 37_867, 13, 7_525, 27, 1_593, 988, 13, 33_972, 7_029, 6, 20, 8_251, 383, 2, 270, 5_866, 3_788, 2, 2_353, 8_251, 12_338, 2, 13_958, 387, 2, 3_629, 6_953, 188, 2_900, 2, 13_958, 8_011, 11_501, 23, 8_460, 4_073, 34_009, 20, 435, 11_439, 27, 8, 8_460, 4_073, 6_004, 20, 9_988, 375, 27, 33, 266, 1_945, 1_076, 1_350, 37_867, 3_288, 5, 577, 1_076, 4_374, 8, 5_082, 5, 26_453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10_767, 6, 316, 304, 4_239, 3, 0], [148, 15_722, 19, 1_839, 12, 1_350, 13, 22_327, 5_082, 5_418, 47_567, 35_938, 59, 318, 19_552, 108, 2_183, 54, 14_976, 4_835, 32, 547, 1_114, 8, 315, 2_417, 5, 92, 19_088, 3, 0, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100], [36, 6_395, 12_570, 39_147, 11_597, 6, 266, 4, 45_405, 7_296, 3, 0, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100, 58_100]], """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       :			Tuple				):


         """simple docstring"""



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

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

         __A         =	[76, 7, 2_047, 2]
         __A         =	[69, 12, 11, 940, 2]

         __A         =	tokenizer(UpperCamelCase_				).input_ids
         self.assertListEqual(UpperCamelCase_ ,	UpperCamelCase_				)

         __A         =	tokenizer(text_target=UpperCamelCase_				).input_ids
         self.assertListEqual(UpperCamelCase_ ,	UpperCamelCase_				)

         __A         =	tokenizer.decode(UpperCamelCase_ ,	skip_special_tokens=UpperCamelCase_				)
         self.assertEqual(UpperCamelCase_ ,	UpperCamelCase_				)












import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


__a      :       List[str]				  =   pytest.mark.integration



@pytest.mark.parametrize("""path"""			,				["""paws""", """csv"""]    )
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]			,				__lowercase   :			Optional[int]    )						->      Tuple:





    """simple docstring"""

    inspect_dataset(__lowercase			,				__lowercase    )
    __A         =	path + """.py"""
    assert script_name in os.listdir(__lowercase    )
    assert "__pycache__" not in os.listdir(__lowercase    )



@pytest.mark.filterwarnings("""ignore:inspect_metric is deprecated:FutureWarning"""    )
@pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning"""    )
@pytest.mark.parametrize("""path"""			,				["""accuracy"""]    )
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]			,				__lowercase   :			Tuple    )						->      Any:





    """simple docstring"""

    inspect_metric(__lowercase			,				__lowercase    )
    __A         =	path + """.py"""
    assert script_name in os.listdir(__lowercase    )
    assert "__pycache__" not in os.listdir(__lowercase    )



@pytest.mark.parametrize(
    """path, config_name, expected_splits"""			,				[
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Dict			,				__lowercase   :			Optional[int]			,				__lowercase   :			List[Any]    )						->      Optional[Any]:





    """simple docstring"""

    __A         =	get_dataset_config_info(__lowercase			,				config_name=__lowercase    )
    assert info.config_name == config_name
    assert list(info.splits.keys()    ) == expected_splits



@pytest.mark.parametrize(
    """path, config_name, expected_exception"""			,				[
        ("""paws""", None, ValueError),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]			,				__lowercase   :			int			,				__lowercase   :			List[str]    )						->      int:





    """simple docstring"""

    with pytest.raises(__lowercase    ):
        get_dataset_config_info(__lowercase			,				config_name=__lowercase    )



@pytest.mark.parametrize(
    """path, expected"""			,				[
        ("""squad""", """plain_text"""),
        ("""acronym_identification""", """default"""),
        ("""lhoestq/squad""", """plain_text"""),
        ("""lhoestq/test""", """default"""),
        ("""lhoestq/demo1""", """lhoestq--demo1"""),
        ("""dalle-mini/wit""", """dalle-mini--wit"""),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Tuple			,				__lowercase   :			Optional[Any]    )						->      Any:





    """simple docstring"""

    __A         =	get_dataset_config_names(__lowercase    )
    assert expected in config_names



@pytest.mark.parametrize(
    """path, expected_configs, expected_splits_in_first_config"""			,				[
        ("""squad""", ["""plain_text"""], ["""train""", """validation"""]),
        ("""dalle-mini/wit""", ["""dalle-mini--wit"""], ["""train"""]),
        ("""paws""", ["""labeled_final""", """labeled_swap""", """unlabeled_final"""], ["""train""", """test""", """validation"""]),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			int			,				__lowercase   :			Tuple			,				__lowercase   :			List[Any]    )						->      List[str]:





    """simple docstring"""

    __A         =	get_dataset_infos(__lowercase    )
    assert list(infos.keys()    ) == expected_configs
    __A         =	expected_configs[0]
    assert expected_config in infos
    __A         =	infos[expected_config]
    assert info.config_name == expected_config
    assert list(info.splits.keys()    ) == expected_splits_in_first_config



@pytest.mark.parametrize(
    """path, expected_config, expected_splits"""			,				[
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]			,				__lowercase   :			str			,				__lowercase   :			Union[str, Any]    )						->      Dict:





    """simple docstring"""

    __A         =	get_dataset_infos(__lowercase    )
    assert expected_config in infos
    __A         =	infos[expected_config]
    assert info.config_name == expected_config
    assert list(info.splits.keys()    ) == expected_splits






@pytest.mark.parametrize(
    """path, config_name, expected_exception"""			,				[
        ("""paws""", None, ValueError),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[str]			,				__lowercase   :			Optional[int]			,				__lowercase   :			Tuple    )						->      Union[str, Any]:





    """simple docstring"""

    with pytest.raises(__lowercase    ):
        get_dataset_split_names(__lowercase			,				config_name=__lowercase    )




