

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__ :     Any				    =    get_tests_dir("""fixtures/test_sentencepiece.model""")







@require_sentencepiece
class        a__       (   UpperCAmelCase	,			unittest.TestCase       ):







		"""simple docstring"""




		UpperCAmelCase__      : Optional[int]			       =XLMProphetNetTokenizer
		UpperCAmelCase__      : Union[str, Any]			       =False
		UpperCAmelCase__      : Tuple			       =True


		def  _lowercase      (			self    : Tuple		)					->Union[str, Any]:
								"""simple docstring"""







								super().setUp()

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


		def  _lowercase      (			self    : List[Any]		)					->Optional[int]:
								"""simple docstring"""







								SCREAMING_SNAKE_CASE :      Union[str, Any]       =   """[PAD]"""
								SCREAMING_SNAKE_CASE :      List[Any]       =   0

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


		def  _lowercase      (			self    : List[Any]		)					->List[str]:
								"""simple docstring"""







								SCREAMING_SNAKE_CASE :      List[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(UpperCAmelCase__		)				,				1_0_1_2		)


		def  _lowercase      (			self    : Tuple		)					->List[Any]:
								"""simple docstring"""







								self.assertEqual(self.get_tokenizer().vocab_size				,				1_0_1_2		)


		def  _lowercase      (			self    : List[Any]		)					->List[str]:
								"""simple docstring"""







								SCREAMING_SNAKE_CASE :      int       =   XLMProphetNetTokenizer(UpperCAmelCase__				,				keep_accents=UpperCAmelCase__		)

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

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(UpperCAmelCase__		)				,				[value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]				,				)

								SCREAMING_SNAKE_CASE :      str       =   tokenizer.tokenize("""I was born in 92000, and this is falsé."""		)
								self.assertListEqual(
								    UpperCAmelCase__				,				[
								        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""",
								        """.""",
								    ]				,				)
								SCREAMING_SNAKE_CASE :      Optional[int]       =   tokenizer.convert_tokens_to_ids(UpperCAmelCase__		)
								self.assertListEqual(
								    UpperCAmelCase__				,				[
								        value + tokenizer.fairseq_offset
								        for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, -9, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, -9, 4]
								    ]				,				)

								SCREAMING_SNAKE_CASE :      Union[str, Any]       =   tokenizer.convert_ids_to_tokens(UpperCAmelCase__		)
								self.assertListEqual(
								    UpperCAmelCase__				,				[
								        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    : Any		)					->Tuple:
								"""simple docstring"""







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


		@slow
		def  _lowercase      (			self    : Dict		)					->Any:
								"""simple docstring"""







								SCREAMING_SNAKE_CASE :      int       =   """Hello World!"""
								SCREAMING_SNAKE_CASE :      Optional[int]       =   [3_5_3_8_9, 6_6_7_2, 4_9, 2]
								self.assertListEqual(UpperCAmelCase__				,				self.big_tokenizer.encode(UpperCAmelCase__		)		)




		@slow
		def  _lowercase      (			self    : Optional[Any]		)					->Any:
								"""simple docstring"""







								SCREAMING_SNAKE_CASE :      List[Any]       =   {"""input_ids""": [[1_1_0_7_3, 8_2_7_8_3, 1_8, 2_6, 8_2_7_8_3, 5_4_9, 5_1_5_4_0, 2_4_8, 1_7_2_0_9, 1_3_0_1, 2_1_7, 2_0, 2_1_5_1_8_6, 1_3_2_5, 1_4_7, 1_7_2_0_9, 1_3_0_1, 2_1_7, 2_0, 5_6_3_7_0, 5_3, 1_2_2_0_2_0, 2_0, 1_6_4_7_7, 2_7, 8_7_3_5_5, 4_5_4_8, 2_0, 4_7_2_8, 7_8_3_9_2, 1_7, 1_5_9_9_6_9, 1_8, 2_6, 2_4_4_9_1, 6_2_9, 1_5, 5_3_8, 2_2_7_0_4, 5_4_3_9, 1_5, 2_7_8_8, 2_4_4_9_1, 9_8_8_5, 1_5, 4_3_5_3_4, 6_0_5, 1_5, 8_1_4, 1_8_4_0_3, 3_3_2_0_0, 2_9, 1_5, 4_3_5_3_4, 2_4_4_5_8, 1_2_4_1_0, 1_1_1, 2_4_9_6_6, 8_3_6_6_9, 9_6_3_7, 1_4_4_0_6_8, 2_6, 8_5_0, 2_2_3_4_6, 2_7, 1_4_7, 2_4_9_6_6, 8_3_6_6_9, 8_3_4_9_0, 2_6, 3_9_1_1_3, 7_3_5, 2_7, 6_8_9, 6_5_6, 2_8_0_0, 1_3_3_9, 4_6_0_0, 5_3, 1_2_2_0_2_0, 1_1_5_7_8_5, 3_4, 8_1_6, 1_3_3_9, 4_6_8_8_7, 1_8, 1_4_7, 5_3_9_0_5, 1_9_5_1, 4_2_2_3_8, 4_1_1_7_0, 1_7_7_3_2, 8_3_4, 4_3_6, 1_5, 2_7_5_2_3, 9_8_7_3_3, 2_1_7, 1_4_7, 5_5_4_2, 4_9_8_1, 9_3_0, 1_7_3_4_7, 1_6, 2], [2_0_0_9_1, 6_2_9, 9_4, 8_2_7_8_6, 5_8, 4_9_0, 2_0, 1_5_2_8, 8_4, 5_3_9_0_5, 3_4_4, 8_0_5_9_2, 1_1_0_1_2_8, 1_8_8_2_2, 5_2_6_7, 1_3_0_6, 6_2, 1_5_2_5_3_7, 3_0_8, 7_9_9_7, 4_0_1, 1_2_4_4_2_7, 5_4_9, 3_5_4_4_2, 2_2_5, 1_0_9, 1_5_0_5_5, 2_5_7_4_8, 1_4_7, 7_1_1_9, 4_3_7_1_2, 3_4, 7_6_7, 1_3_5_3_6_6, 1_8, 1_6, 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], [5_9_2, 6_3_7_8_4, 1_1_9_4_6_6, 1_7, 1_4_7_8_0_8, 8_8_2_1_4, 1_8, 6_5_6, 8_1, 3_2, 3_2_9_6, 1_0_2_8_0, 1_6, 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=UpperCAmelCase__				,				model_name="""microsoft/xprophetnet-large-wiki100-cased"""				,				revision="""1acad1643ddd54a44df6a1b797ada8373685d90e"""				,				)







from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__ :     List[Any]				    =    logging.get_logger(__name__)

UpperCAmelCase__ :     int				    =    {
    """unc-nlp/lxmert-base-uncased""": """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json""",
}







class        a__       (   UpperCAmelCase       ):







  """simple docstring"""




  UpperCAmelCase__      : List[str]			       ="""lxmert"""
  UpperCAmelCase__      : str			       ={}


  def __init__(			self    : int				,				UpperCAmelCase__    : Dict=3_0_5_2_2				,				UpperCAmelCase__    : int=7_6_8				,				UpperCAmelCase__    : Union[str, Any]=1_2				,				UpperCAmelCase__    : int=9_5_0_0				,				UpperCAmelCase__    : Union[str, Any]=1_6_0_0				,				UpperCAmelCase__    : Optional[Any]=4_0_0				,				UpperCAmelCase__    : List[str]=3_0_7_2				,				UpperCAmelCase__    : List[Any]="gelu"				,				UpperCAmelCase__    : int=0.1				,				UpperCAmelCase__    : Optional[Any]=0.1				,				UpperCAmelCase__    : Union[str, Any]=5_1_2				,				UpperCAmelCase__    : int=2				,				UpperCAmelCase__    : List[str]=0.02				,				UpperCAmelCase__    : str=1e-12				,				UpperCAmelCase__    : int=9				,				UpperCAmelCase__    : Optional[int]=5				,				UpperCAmelCase__    : int=5				,				UpperCAmelCase__    : List[str]=2_0_4_8				,				UpperCAmelCase__    : Tuple=4				,				UpperCAmelCase__    : List[str]=6.67				,				UpperCAmelCase__    : Optional[int]=True				,				UpperCAmelCase__    : Dict=True				,				UpperCAmelCase__    : Optional[Any]=True				,				UpperCAmelCase__    : Optional[int]=True				,				UpperCAmelCase__    : List[Any]=True				,				UpperCAmelCase__    : Dict=True				,				UpperCAmelCase__    : Optional[Any]=True				,				**UpperCAmelCase__    : Tuple				,				)					->Optional[Any]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      List[str]       =   vocab_size
        SCREAMING_SNAKE_CASE :      List[Any]       =   hidden_size
        SCREAMING_SNAKE_CASE :      Any       =   num_attention_heads
        SCREAMING_SNAKE_CASE :      str       =   hidden_act
        SCREAMING_SNAKE_CASE :      Union[str, Any]       =   intermediate_size
        SCREAMING_SNAKE_CASE :      List[str]       =   hidden_dropout_prob
        SCREAMING_SNAKE_CASE :      str       =   attention_probs_dropout_prob
        SCREAMING_SNAKE_CASE :      Dict       =   max_position_embeddings
        SCREAMING_SNAKE_CASE :      Any       =   type_vocab_size
        SCREAMING_SNAKE_CASE :      Optional[int]       =   initializer_range
        SCREAMING_SNAKE_CASE :      Optional[int]       =   layer_norm_eps
        SCREAMING_SNAKE_CASE :      Dict       =   num_qa_labels
        SCREAMING_SNAKE_CASE :      str       =   num_object_labels
        SCREAMING_SNAKE_CASE :      str       =   num_attr_labels
        SCREAMING_SNAKE_CASE :      List[str]       =   l_layers
        SCREAMING_SNAKE_CASE :      Optional[int]       =   x_layers
        SCREAMING_SNAKE_CASE :      List[str]       =   r_layers
        SCREAMING_SNAKE_CASE :      Union[str, Any]       =   visual_feat_dim
        SCREAMING_SNAKE_CASE :      Dict       =   visual_pos_dim
        SCREAMING_SNAKE_CASE :      List[Any]       =   visual_loss_normalizer
        SCREAMING_SNAKE_CASE :      Union[str, Any]       =   task_matched
        SCREAMING_SNAKE_CASE :      int       =   task_mask_lm
        SCREAMING_SNAKE_CASE :      int       =   task_obj_predict
        SCREAMING_SNAKE_CASE :      Optional[int]       =   task_qa
        SCREAMING_SNAKE_CASE :      Any       =   visual_obj_loss
        SCREAMING_SNAKE_CASE :      str       =   visual_attr_loss
        SCREAMING_SNAKE_CASE :      Union[str, Any]       =   visual_feat_loss
        SCREAMING_SNAKE_CASE :      List[Any]       =   {"""vision""": r_layers, """cross_encoder""": x_layers, """language""": l_layers}
        super().__init__(**UpperCAmelCase__		)




