


'''simple docstring'''



import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


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


@require_sentencepiece
@require_tokenizers
class 		_snake_case       (  UpperCamelCase__							, unittest.TestCase						):
					lowerCAmelCase   :Union[str, Any]				=       ReformerTokenizer
					lowerCAmelCase   :str				=       ReformerTokenizerFast
					lowerCAmelCase   :List[Any]				=       True
					lowerCAmelCase   :Union[str, Any]				=       False
					lowerCAmelCase   :Union[str, Any]				=       True




					def 					snake_case__    (   self):
								super().setUp()

								UpperCAmelCase__	:       Tuple   =  ReformerTokenizer(__lowerCamelCase				,				keep_accents=__lowerCamelCase)
								tokenizer.save_pretrained(self.tmpdirname)




					def 					snake_case__    (   self):
								UpperCAmelCase__	:       List[Any]   =  """<s>"""
								UpperCAmelCase__	:       Union[str, Any]   =  1

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




					def 					snake_case__    (   self):
								UpperCAmelCase__	:       str   =  list(self.get_tokenizer().get_vocab().keys())

								self.assertEqual(vocab_keys[0]				,				"""<unk>""")
								self.assertEqual(vocab_keys[1]				,				"""<s>""")
								self.assertEqual(vocab_keys[-1]				,				"""j""")
								self.assertEqual(len(__lowerCamelCase)				,				1000)




					def 					snake_case__    (   self):
								self.assertEqual(self.get_tokenizer().vocab_size				,				1000)




					def 					snake_case__    (   self):
								if not self.test_rust_tokenizer:
											return

								UpperCAmelCase__	:       int   =  self.get_tokenizer()
								UpperCAmelCase__	:       Tuple   =  self.get_rust_tokenizer()

								UpperCAmelCase__	:       str   =  """I was born in 92000, and this is falsé."""

								UpperCAmelCase__	:       List[str]   =  tokenizer.tokenize(__lowerCamelCase)
								UpperCAmelCase__	:       Optional[int]   =  rust_tokenizer.tokenize(__lowerCamelCase)
								self.assertListEqual(__lowerCamelCase				,				__lowerCamelCase)

								UpperCAmelCase__	:       Any   =  tokenizer.encode(__lowerCamelCase				,				add_special_tokens=__lowerCamelCase)
								UpperCAmelCase__	:       Union[str, Any]   =  rust_tokenizer.encode(__lowerCamelCase				,				add_special_tokens=__lowerCamelCase)
								self.assertListEqual(__lowerCamelCase				,				__lowerCamelCase)

								UpperCAmelCase__	:       Optional[int]   =  self.get_rust_tokenizer()
								UpperCAmelCase__	:       int   =  tokenizer.encode(__lowerCamelCase)
								UpperCAmelCase__	:       Any   =  rust_tokenizer.encode(__lowerCamelCase)
								self.assertListEqual(__lowerCamelCase				,				__lowerCamelCase)




					def 					snake_case__    (   self				,				_lowerCamelCase=15):
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
														UpperCAmelCase__	:       str   =  self.rust_tokenizer_class.from_pretrained(__lowerCamelCase				,				**__lowerCamelCase)

														# Simple input
														UpperCAmelCase__	:       Dict   =  """This is a simple input"""
														UpperCAmelCase__	:       int   =  ["""This is a simple input 1""", """This is a simple input 2"""]
														UpperCAmelCase__	:       List[Any]   =  ("""This is a simple input""", """This is a pair""")
														UpperCAmelCase__	:       Dict   =  [
														    ("""This is a simple input 1""", """This is a simple input 2"""),
														    ("""This is a simple pair 1""", """This is a simple pair 2"""),
														]

														# Simple input tests
														self.assertRaises(__lowerCamelCase				,				tokenizer_r.encode				,				__lowerCamelCase				,				max_length=__lowerCamelCase				,				padding="""max_length""")

														# Simple input
														self.assertRaises(__lowerCamelCase				,				tokenizer_r.encode_plus				,				__lowerCamelCase				,				max_length=__lowerCamelCase				,				padding="""max_length""")

														# Simple input
														self.assertRaises(
														    __lowerCamelCase				,				tokenizer_r.batch_encode_plus				,				__lowerCamelCase				,				max_length=__lowerCamelCase				,				padding="""max_length"""				,				)

														# Pair input
														self.assertRaises(__lowerCamelCase				,				tokenizer_r.encode				,				__lowerCamelCase				,				max_length=__lowerCamelCase				,				padding="""max_length""")

														# Pair input
														self.assertRaises(__lowerCamelCase				,				tokenizer_r.encode_plus				,				__lowerCamelCase				,				max_length=__lowerCamelCase				,				padding="""max_length""")

														# Pair input
														self.assertRaises(
														    __lowerCamelCase				,				tokenizer_r.batch_encode_plus				,				__lowerCamelCase				,				max_length=__lowerCamelCase				,				padding="""max_length"""				,				)




					def 					snake_case__    (   self):
								pass




					def 					snake_case__    (   self):
								UpperCAmelCase__	:       str   =  ReformerTokenizer(__lowerCamelCase				,				keep_accents=__lowerCamelCase)

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

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(__lowerCamelCase)				,				[285, 46, 10, 170, 382]				,				)

								UpperCAmelCase__	:       Dict   =  tokenizer.tokenize("""I was born in 92000, and this is falsé.""")
								self.assertListEqual(
								    __lowerCamelCase				,				[
								        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(__lowerCamelCase)
								self.assertListEqual(
								    __lowerCamelCase				,				[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]				,				)

								UpperCAmelCase__	:       List[Any]   =  tokenizer.convert_ids_to_tokens(__lowerCamelCase)
								self.assertListEqual(
								    __lowerCamelCase				,				[
								        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 					snake_case__    (   self):
								return ReformerTokenizer.from_pretrained("""google/reformer-crime-and-punishment""")




					@slow
					def 					snake_case__    (   self):
								UpperCAmelCase__	:       Union[str, Any]   =  """Hello World!"""
								UpperCAmelCase__	:       int   =  [126, 32, 262, 152, 38, 72, 287]

								self.assertListEqual(__lowerCamelCase				,				self.big_tokenizer.encode(__lowerCamelCase))




					@slow
					def 					snake_case__    (   self):
								UpperCAmelCase__	:       Optional[Any]   =  (
								    """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
								    """ add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"""
								)
								UpperCAmelCase__	:       str   =  [
								    108,
								    265,
								    24,
								    111,
								    4,
								    258,
								    156,
								    35,
								    28,
								    275,
								    3,
								    259,
								    297,
								    260,
								    84,
								    4,
								    35,
								    110,
								    44,
								    8,
								    259,
								    91,
								    268,
								    21,
								    11,
								    209,
								    274,
								    109,
								    266,
								    277,
								    117,
								    86,
								    93,
								    315,
								    258,
								    278,
								    258,
								    277,
								    258,
								    0,
								    258,
								    288,
								    258,
								    319,
								    258,
								    0,
								    258,
								    0,
								    258,
								    0,
								    258,
								    0,
								    258,
								    287,
								    258,
								    315,
								    258,
								    289,
								    258,
								    278,
								    99,
								    269,
								    266,
								    262,
								    8,
								    259,
								    241,
								    4,
								    217,
								    230,
								    268,
								    266,
								    55,
								    168,
								    106,
								    75,
								    193,
								    266,
								    223,
								    27,
								    49,
								    26,
								    282,
								    25,
								    264,
								    299,
								    19,
								    26,
								    0,
								    258,
								    277,
								    117,
								    86,
								    93,
								    176,
								    183,
								    270,
								    11,
								    262,
								    42,
								    61,
								    265,
								]

								self.assertListEqual(__lowerCamelCase				,				self.big_tokenizer.encode(__lowerCamelCase))




					@require_torch
					@slow
					def 					snake_case__    (   self):
								import torch

								from transformers import ReformerConfig, ReformerModel

								# Build sequence
								UpperCAmelCase__	:       Optional[int]   =  list(self.big_tokenizer.get_vocab().keys())[:10]
								UpperCAmelCase__	:       str   =  """ """.join(__lowerCamelCase)
								UpperCAmelCase__	:       Union[str, Any]   =  self.big_tokenizer.encode_plus(__lowerCamelCase				,				return_tensors="""pt""")
								UpperCAmelCase__	:       Tuple   =  self.big_tokenizer.batch_encode_plus([sequence, sequence]				,				return_tensors="""pt""")

								UpperCAmelCase__	:       List[str]   =  ReformerConfig()
								# The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
								UpperCAmelCase__	:       Optional[Any]   =  encoded_sequence["""input_ids"""].shape
								UpperCAmelCase__	:       Union[str, Any]   =  ReformerModel(__lowerCamelCase)

								# Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
								assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

								with torch.no_grad():
											model(**__lowerCamelCase)
											model(**__lowerCamelCase)




					@slow
					def 					snake_case__    (   self):
								# fmt: off
								UpperCAmelCase__	:       Any   =  {"""input_ids""": [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], """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]]}  # noqa: E501
								# fmt: on

								# This tokenizer does not know some characters like ")".
								# That is the reason why we use very simple texts here.
								# Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
								UpperCAmelCase__	:       Optional[Any]   =  [
								    """This is a very simple sentence.""",
								    """The quick brown fox jumps over the lazy dog.""",
								]

								self.tokenizer_integration_test_util(
								    expected_encoding=__lowerCamelCase				,				model_name="""google/reformer-crime-and-punishment"""				,				revision="""0e6c3decb8211d49bf881013425dc8b0448b3f5a"""				,				padding=__lowerCamelCase				,				sequences=__lowerCamelCase				,				)






import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)





