

"""simple docstring"""




import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__UpperCAmelCase			=					get_tests_dir('fixtures/test_sentencepiece.model')







@require_sentencepiece
class   __lowercase      (     _SCREAMING_SNAKE_CASE						,      unittest.TestCase       ):
  snake_case_												=							XLMProphetNetTokenizer
  snake_case_												=							False
  snake_case_												=							True

  def  __lowercase							(	self		:      int     ):






   '''simple docstring'''
   super().setUp()

   # We have a SentencePiece fixture for testing
   UpperCAmelCase__       :	Union[str, Any]        =       XLMProphetNetTokenizer(A       ,keep_accents=A     )
   tokenizer.save_pretrained(self.tmpdirname     )

  def  __lowercase							(	self		:      Any     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Optional[int]        =       """[PAD]"""
   UpperCAmelCase__       :	List[Any]        =       0

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

  def  __lowercase							(	self		:      Tuple     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Optional[int]        =       list(self.get_tokenizer().get_vocab().keys()     )

   self.assertEqual(vocab_keys[0]       ,"""[PAD]"""     )
   self.assertEqual(vocab_keys[1]       ,"""[CLS]"""     )
   self.assertEqual(vocab_keys[-1]       ,"""j"""     )
   self.assertEqual(len(A     )       ,1_012     )

  def  __lowercase							(	self		:      Dict     ):






   '''simple docstring'''
   self.assertEqual(self.get_tokenizer().vocab_size       ,1_012     )

  def  __lowercase							(	self		:      List[str]     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Optional[int]        =       XLMProphetNetTokenizer(A       ,keep_accents=A     )

   UpperCAmelCase__       :	List[str]        =       tokenizer.tokenize("""This is a test"""     )
   self.assertListEqual(A       ,["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]     )

   self.assertListEqual(
       tokenizer.convert_tokens_to_ids(A     )       ,[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]       ,)

   UpperCAmelCase__       :	int        =       tokenizer.tokenize("""I was born in 92000, and this is falsé."""     )
   self.assertListEqual(
       A       ,[
           SPIECE_UNDERLINE + """I""",
           SPIECE_UNDERLINE + """was""",
           SPIECE_UNDERLINE + """b""",
           """or""",
           """n""",
           SPIECE_UNDERLINE + """in""",
           SPIECE_UNDERLINE + """""",
           """9""",
           """2""",
           """0""",
           """0""",
           """0""",
           """,""",
           SPIECE_UNDERLINE + """and""",
           SPIECE_UNDERLINE + """this""",
           SPIECE_UNDERLINE + """is""",
           SPIECE_UNDERLINE + """f""",
           """al""",
           """s""",
           """é""",
           """.""",
       ]       ,)
   UpperCAmelCase__       :	Tuple        =       tokenizer.convert_tokens_to_ids(A     )
   self.assertListEqual(
       A       ,[
           value + tokenizer.fairseq_offset
           for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
       ]       ,)

   UpperCAmelCase__       :	str        =       tokenizer.convert_ids_to_tokens(A     )
   self.assertListEqual(
       A       ,[
           SPIECE_UNDERLINE + """I""",
           SPIECE_UNDERLINE + """was""",
           SPIECE_UNDERLINE + """b""",
           """or""",
           """n""",
           SPIECE_UNDERLINE + """in""",
           SPIECE_UNDERLINE + """""",
           """[UNK]""",
           """2""",
           """0""",
           """0""",
           """0""",
           """,""",
           SPIECE_UNDERLINE + """and""",
           SPIECE_UNDERLINE + """this""",
           SPIECE_UNDERLINE + """is""",
           SPIECE_UNDERLINE + """f""",
           """al""",
           """s""",
           """[UNK]""",
           """.""",
       ]       ,)

  @cached_property
  def  __lowercase							(	self		:      List[str]     ):






   '''simple docstring'''
   return XLMProphetNetTokenizer.from_pretrained("""microsoft/xprophetnet-large-wiki100-cased"""     )

  @slow
  def  __lowercase							(	self		:      List[str]     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Union[str, Any]        =       """Hello World!"""
   UpperCAmelCase__       :	str        =       [35_389, 6_672, 49, 2]
   self.assertListEqual(A       ,self.big_tokenizer.encode(A     )     )




  @slow
  def  __lowercase							(	self		:      int     ):






   '''simple docstring'''
   # fmt: off
   UpperCAmelCase__       :	int        =       {"""input_ids""": [[11_073, 82_783, 18, 26, 82_783, 549, 51_540, 248, 17_209, 1_301, 217, 20, 215_186, 1_325, 147, 17_209, 1_301, 217, 20, 56_370, 53, 122_020, 20, 16_477, 27, 87_355, 4_548, 20, 4_728, 78_392, 17, 159_969, 18, 26, 24_491, 629, 15, 538, 22_704, 5_439, 15, 2_788, 24_491, 9_885, 15, 43_534, 605, 15, 814, 18_403, 33_200, 29, 15, 43_534, 24_458, 12_410, 111, 24_966, 83_669, 9_637, 144_068, 26, 850, 22_346, 27, 147, 24_966, 83_669, 83_490, 26, 39_113, 735, 27, 689, 656, 2_800, 1_339, 4_600, 53, 122_020, 115_785, 34, 816, 1_339, 46_887, 18, 147, 53_905, 1_951, 42_238, 41_170, 17_732, 834, 436, 15, 27_523, 98_733, 217, 147, 5_542, 4_981, 930, 17_347, 16, 2], [20_091, 629, 94, 82_786, 58, 490, 20, 1_528, 84, 53_905, 344, 80_592, 110_128, 18_822, 5_267, 1_306, 62, 152_537, 308, 7_997, 401, 124_427, 549, 35_442, 225, 109, 15_055, 25_748, 147, 7_119, 43_712, 34, 767, 135_366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63_784, 119_466, 17, 147_808, 88_214, 18, 656, 81, 32, 3_296, 10_280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """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, 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], [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, 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=A       ,model_name="""microsoft/xprophetnet-large-wiki100-cased"""       ,revision="""1acad1643ddd54a44df6a1b797ada8373685d90e"""       ,)









'''simple docstring'''






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   :    int											= pytest.mark.integration







@pytest.mark.parametrize("""path"""				,       ["""paws""", """csv"""]   )
def 							UpperCamelCase_     (       A__   :  Union[str, Any]				,       A__   :  Tuple   ):
  '''simple docstring'''





  inspect_dataset(A__				,       A__   )
  lowerCAmelCase_     : Any     =  path + """.py"""
  assert script_name in os.listdir(A__   )
  assert "__pycache__" not in os.listdir(A__   )







@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 							UpperCamelCase_     (       A__   :  Tuple				,       A__   :  str   ):
  '''simple docstring'''





  inspect_metric(A__				,       A__   )
  lowerCAmelCase_     : Any     =  path + """.py"""
  assert script_name in os.listdir(A__   )
  assert "__pycache__" not in os.listdir(A__   )







@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 							UpperCamelCase_     (       A__   :  List[str]				,       A__   :  List[str]				,       A__   :  Optional[Any]   ):
  '''simple docstring'''





  lowerCAmelCase_     : List[Any]     =  get_dataset_config_info(A__				,       config_name=A__   )
  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 							UpperCamelCase_     (       A__   :  List[str]				,       A__   :  List[str]				,       A__   :  int   ):
  '''simple docstring'''





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







@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 							UpperCamelCase_     (       A__   :  str				,       A__   :  List[str]   ):
  '''simple docstring'''





  lowerCAmelCase_     : Dict     =  get_dataset_config_names(A__   )
  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 							UpperCamelCase_     (       A__   :  List[Any]				,       A__   :  Dict				,       A__   :  Optional[int]   ):
  '''simple docstring'''





  lowerCAmelCase_     : Tuple     =  get_dataset_infos(A__   )
  assert list(infos.keys()   ) == expected_configs
  lowerCAmelCase_     : Optional[int]     =  expected_configs[0]
  assert expected_config in infos
  lowerCAmelCase_     : int     =  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 							UpperCamelCase_     (       A__   :  List[str]				,       A__   :  Optional[Any]				,       A__   :  List[Any]   ):
  '''simple docstring'''





  lowerCAmelCase_     : Dict     =  get_dataset_infos(A__   )
  assert expected_config in infos
  lowerCAmelCase_     : List[Any]     =  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 							UpperCamelCase_     (       A__   :  List[str]				,       A__   :  Any				,       A__   :  Dict   ):
  '''simple docstring'''





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



