






"""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


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






@require_sentencepiece
class 							__SCREAMING_SNAKE_CASE						(				UpperCamelCase       ,		unittest.TestCase		):
							snake_case_     =							XLMProphetNetTokenizer
							snake_case_     =							False
							snake_case_     =							True


							def 						_UpperCamelCase       (			self      :						List[Any]							):
													'''simple docstring'''





													super().setUp()

													# We have a SentencePiece fixture for testing
													A__						:  str		  =  XLMProphetNetTokenizer(snake_case			,    keep_accents=snake_case							)
													tokenizer.save_pretrained(self.tmpdirname							)


							def 						_UpperCamelCase       (			self      :						int							):
													'''simple docstring'''





													A__						:  str		  =  """[PAD]"""
													A__						:  Dict		  =  0

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


							def 						_UpperCamelCase       (			self      :						str							):
													'''simple docstring'''





													A__						:  Union[str, Any]		  =  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(snake_case							)			,    1012							)


							def 						_UpperCamelCase       (			self      :						Optional[Any]							):
													'''simple docstring'''





													self.assertEqual(self.get_tokenizer().vocab_size			,    1012							)


							def 						_UpperCamelCase       (			self      :						List[str]							):
													'''simple docstring'''





													A__						:  List[str]		  =  XLMProphetNetTokenizer(snake_case			,    keep_accents=snake_case							)

													A__						:  Any		  =  tokenizer.tokenize("""This is a test"""							)
													self.assertListEqual(snake_case			,    ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]							)

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

													A__						:  int		  =  tokenizer.tokenize("""I was born in 92000, and this is falsé."""							)
													self.assertListEqual(
													    snake_case			,    [
													        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""",
													        """.""",
													    ]			,    )
													A__						:  List[str]		  =  tokenizer.convert_tokens_to_ids(snake_case							)
													self.assertListEqual(
													    snake_case			,    [
													        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]
													    ]			,    )

													A__						:  Optional[int]		  =  tokenizer.convert_ids_to_tokens(snake_case							)
													self.assertListEqual(
													    snake_case			,    [
													        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 						_UpperCamelCase       (			self      :						int							):
													'''simple docstring'''





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


							@slow
							def 						_UpperCamelCase       (			self      :						Optional[int]							):
													'''simple docstring'''





													A__						:  Union[str, Any]		  =  """Hello World!"""
													A__						:  List[Any]		  =  [3_5389, 6672, 49, 2]
													self.assertListEqual(snake_case			,    self.big_tokenizer.encode(snake_case							)							)


							@slow
							def 						_UpperCamelCase       (			self      :						int							):
													'''simple docstring'''





													A__						:  List[str]		  =  {"""input_ids""": [[1_1073, 8_2783, 18, 26, 8_2783, 549, 5_1540, 248, 1_7209, 1301, 217, 20, 21_5186, 1325, 147, 1_7209, 1301, 217, 20, 5_6370, 53, 12_2020, 20, 1_6477, 27, 8_7355, 4548, 20, 4728, 7_8392, 17, 15_9969, 18, 26, 2_4491, 629, 15, 538, 2_2704, 5439, 15, 2788, 2_4491, 9885, 15, 4_3534, 605, 15, 814, 1_8403, 3_3200, 29, 15, 4_3534, 2_4458, 1_2410, 111, 2_4966, 8_3669, 9637, 14_4068, 26, 850, 2_2346, 27, 147, 2_4966, 8_3669, 8_3490, 26, 3_9113, 735, 27, 689, 656, 2800, 1339, 4600, 53, 12_2020, 11_5785, 34, 816, 1339, 4_6887, 18, 147, 5_3905, 1951, 4_2238, 4_1170, 1_7732, 834, 436, 15, 2_7523, 9_8733, 217, 147, 5542, 4981, 930, 1_7347, 16, 2], [2_0091, 629, 94, 8_2786, 58, 490, 20, 1528, 84, 5_3905, 344, 8_0592, 11_0128, 1_8822, 5267, 1306, 62, 15_2537, 308, 7997, 401, 12_4427, 549, 3_5442, 225, 109, 1_5055, 2_5748, 147, 7119, 4_3712, 34, 767, 13_5366, 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, 6_3784, 11_9466, 17, 14_7808, 8_8214, 18, 656, 81, 32, 3296, 1_0280, 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=snake_case			,    model_name="""microsoft/xprophetnet-large-wiki100-cased"""			,    revision="""1acad1643ddd54a44df6a1b797ada8373685d90e"""			,    )














"""simple docstring"""



import os

try:
						from .build_directory_md import good_file_paths
except ImportError:
						from build_directory_md import good_file_paths  # type: ignore

A_    =							list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

A_    =							[file for file in filepaths if file != file.lower()]
if upper_files:
						print(F'{len(upper_files)} files contain uppercase characters:')
						print('''\n'''.join(upper_files) + '''\n''')

A_    =							[file for file in filepaths if ''' ''' in file]
if space_files:
						print(F'{len(space_files)} files contain space characters:')
						print('''\n'''.join(space_files) + '''\n''')

A_    =							[file for file in filepaths if '''-''' in file]
if hyphen_files:
						print(F'{len(hyphen_files)} files contain hyphen characters:')
						print('''\n'''.join(hyphen_files) + '''\n''')

A_    =							[file for file in filepaths if os.sep not in file]
if nodir_files:
						print(F'{len(nodir_files)} files are not in a directory:')
						print('''\n'''.join(nodir_files) + '''\n''')

A_    =							len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
						import sys

						sys.exit(bad_files)






