


"""simple docstring"""
import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class        __A       (snake_case__  ,						unittest.TestCase):





							'''simple docstring'''

							__lowercase:						Union[str, Any]							 =      LxmertTokenizer
							__lowercase:						str							 =      LxmertTokenizerFast
							__lowercase:						List[str]							 =      True
							__lowercase:						Dict							 =      True



							def 						lowerCAmelCase    (			self							: List[str]    )   ->Union[str, Any]:



														"""simple docstring"""



														super().setUp()

														snake_case_          =						[
														    """[UNK]""",
														    """[CLS]""",
														    """[SEP]""",
														    """want""",
														    """##want""",
														    """##ed""",
														    """wa""",
														    """un""",
														    """runn""",
														    """##ing""",
														    """,""",
														    """low""",
														    """lowest""",
														]
														snake_case_          =						os.path.join(self.tmpdirname						,    VOCAB_FILES_NAMES["""vocab_file"""]    )
														with open(self.vocab_file						,    """w"""						,    encoding="""utf-8"""    ) as vocab_writer:
																					vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]    )    )



							def 						lowerCAmelCase    (			self							: List[str]						,    UpperCAmelCase_							: Tuple    )   ->List[str]:



														"""simple docstring"""



														snake_case_          =						"""UNwant\u00E9d,running"""
														snake_case_          =						"""unwanted, running"""
														return input_text, output_text



							def 						lowerCAmelCase    (			self							: Optional[Any]    )   ->Optional[int]:



														"""simple docstring"""



														snake_case_          =						self.tokenizer_class(self.vocab_file    )

														snake_case_          =						tokenizer.tokenize("""UNwant\u00E9d,running"""    )
														self.assertListEqual(UpperCAmelCase_						,    ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]    )
														self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_    )						,    [7, 4, 5, 10, 8, 9]    )



							def 						lowerCAmelCase    (			self							: Dict    )   ->Optional[int]:



														"""simple docstring"""



														if not self.test_rust_tokenizer:
																					return

														snake_case_          =						self.get_tokenizer()
														snake_case_          =						self.get_rust_tokenizer()

														snake_case_          =						"""I was born in 92000, and this is falsé."""

														snake_case_          =						tokenizer.tokenize(UpperCAmelCase_    )
														snake_case_          =						rust_tokenizer.tokenize(UpperCAmelCase_    )
														self.assertListEqual(UpperCAmelCase_						,    UpperCAmelCase_    )

														snake_case_          =						tokenizer.encode(UpperCAmelCase_						,    add_special_tokens=UpperCAmelCase_    )
														snake_case_          =						rust_tokenizer.encode(UpperCAmelCase_						,    add_special_tokens=UpperCAmelCase_    )
														self.assertListEqual(UpperCAmelCase_						,    UpperCAmelCase_    )

														snake_case_          =						self.get_rust_tokenizer()
														snake_case_          =						tokenizer.encode(UpperCAmelCase_    )
														snake_case_          =						rust_tokenizer.encode(UpperCAmelCase_    )
														self.assertListEqual(UpperCAmelCase_						,    UpperCAmelCase_    )







"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE							:      Union[str, Any]						=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE							:      int						=      {
    'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}





class        __A       (snake_case__):





							'''simple docstring'''

							__lowercase:						List[str]							 =      """canine"""



							def __init__(			self							: Union[str, Any]						,    UpperCAmelCase_							: str=768						,    UpperCAmelCase_							: Union[str, Any]=12						,    UpperCAmelCase_							: Optional[Any]=12						,    UpperCAmelCase_							: Optional[Any]=3_072						,    UpperCAmelCase_							: List[Any]="gelu"						,    UpperCAmelCase_							: int=0.1						,    UpperCAmelCase_							: Any=0.1						,    UpperCAmelCase_							: List[str]=16_384						,    UpperCAmelCase_							: Tuple=16						,    UpperCAmelCase_							: int=0.02						,    UpperCAmelCase_							: Tuple=1E-12						,    UpperCAmelCase_							: str=0						,    UpperCAmelCase_							: int=0XE000						,    UpperCAmelCase_							: Optional[int]=0XE001						,    UpperCAmelCase_							: Dict=4						,    UpperCAmelCase_							: List[Any]=4						,    UpperCAmelCase_							: List[Any]=8						,    UpperCAmelCase_							: Dict=16_384						,    UpperCAmelCase_							: Optional[int]=128						,    **UpperCAmelCase_							: Any						,    )   ->int:



														"""simple docstring"""



														super().__init__(pad_token_id=UpperCAmelCase_						,    bos_token_id=UpperCAmelCase_						,    eos_token_id=UpperCAmelCase_						,    **UpperCAmelCase_    )

														snake_case_          =						max_position_embeddings
														snake_case_          =						hidden_size
														snake_case_          =						num_hidden_layers
														snake_case_          =						num_attention_heads
														snake_case_          =						intermediate_size
														snake_case_          =						hidden_act
														snake_case_          =						hidden_dropout_prob
														snake_case_          =						attention_probs_dropout_prob
														snake_case_          =						initializer_range
														snake_case_          =						type_vocab_size
														snake_case_          =						layer_norm_eps

														# Character config:
														snake_case_          =						downsampling_rate
														snake_case_          =						upsampling_kernel_size
														snake_case_          =						num_hash_functions
														snake_case_          =						num_hash_buckets
														snake_case_          =						local_transformer_stride



