






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 						lowerCAmelCase   (       __a					,				unittest.TestCase	):

					'''simple docstring'''

					_A  :	Dict     =					LxmertTokenizer
					_A  :	Optional[int]     =					LxmertTokenizerFast
					_A  :	List[Any]     =					True
					_A  :	str     =					True



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


												"""simple docstring"""

												super().setUp()

												__lowercase					:							List[str]			=   [
												    """[UNK]""",
												    """[CLS]""",
												    """[SEP]""",
												    """want""",
												    """##want""",
												    """##ed""",
												    """wa""",
												    """un""",
												    """runn""",
												    """##ing""",
												    """,""",
												    """low""",
												    """lowest""",
												]
												__lowercase					:							List[str]			=   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 :		Optional[Any]						,   __a :		List[Any]							)	->     List[Any]:


												"""simple docstring"""

												__lowercase					:							int			=   """UNwant\u00E9d,running"""
												__lowercase					:							Any			=   """unwanted, running"""
												return input_text, output_text



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


												"""simple docstring"""

												__lowercase					:							Tuple			=   self.tokenizer_class(self.vocab_file							)

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



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


												"""simple docstring"""

												if not self.test_rust_tokenizer:
																			return

												__lowercase					:							List[str]			=   self.get_tokenizer()
												__lowercase					:							int			=   self.get_rust_tokenizer()

												__lowercase					:							Dict			=   """I was born in 92000, and this is falsé."""

												__lowercase					:							str			=   tokenizer.tokenize(__a							)
												__lowercase					:							Optional[int]			=   rust_tokenizer.tokenize(__a							)
												self.assertListEqual(__a						,   __a							)

												__lowercase					:							int			=   tokenizer.encode(__a						,   add_special_tokens=__a							)
												__lowercase					:							int			=   rust_tokenizer.encode(__a						,   add_special_tokens=__a							)
												self.assertListEqual(__a						,   __a							)

												__lowercase					:							Any			=   self.get_rust_tokenizer()
												__lowercase					:							Optional[Any]			=   tokenizer.encode(__a							)
												__lowercase					:							List[Any]			=   rust_tokenizer.encode(__a							)
												self.assertListEqual(__a						,   __a							)







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


lowerCamelCase       :       Optional[Any]        =				logging.get_logger(__name__)

lowerCamelCase       :       List[str]        =				{
    '''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 						lowerCAmelCase   (       __a	):

					'''simple docstring'''

					_A  :	List[Any]     =					'''canine'''



					def __init__(     self :		List[str]						,   __a :		Optional[int]=768						,   __a :		Any=12						,   __a :		Any=12						,   __a :		Dict=3072						,   __a :		Dict="gelu"						,   __a :		List[Any]=0.1						,   __a :		List[Any]=0.1						,   __a :		Tuple=16384						,   __a :		List[Any]=16						,   __a :		List[Any]=0.02						,   __a :		Optional[Any]=1E-12						,   __a :		Dict=0						,   __a :		List[Any]=0xe_0_0_0						,   __a :		Optional[int]=0xe_0_0_1						,   __a :		Any=4						,   __a :		Dict=4						,   __a :		Optional[int]=8						,   __a :		Any=16384						,   __a :		Optional[Any]=128						,   **__a :		List[str]						,   )	->     Union[str, Any]:


												"""simple docstring"""

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

												__lowercase					:							int			=   max_position_embeddings
												__lowercase					:							List[str]			=   hidden_size
												__lowercase					:							List[Any]			=   num_hidden_layers
												__lowercase					:							Dict			=   num_attention_heads
												__lowercase					:							int			=   intermediate_size
												__lowercase					:							Dict			=   hidden_act
												__lowercase					:							Tuple			=   hidden_dropout_prob
												__lowercase					:							Union[str, Any]			=   attention_probs_dropout_prob
												__lowercase					:							Union[str, Any]			=   initializer_range
												__lowercase					:							Any			=   type_vocab_size
												__lowercase					:							int			=   layer_norm_eps

												# Character config:
												__lowercase					:							int			=   downsampling_rate
												__lowercase					:							str			=   upsampling_kernel_size
												__lowercase					:							Union[str, Any]			=   num_hash_functions
												__lowercase					:							Optional[Any]			=   num_hash_buckets
												__lowercase					:							Optional[int]			=   local_transformer_stride