
'''simple docstring'''







def    snake_case_						(							__SCREAMING_SNAKE_CASE   :					str = "mytext.txt" , __SCREAMING_SNAKE_CASE   :					bool = False				):



						"""simple docstring"""





						import socket

						lowercase_      :	int						=			12312  # Reserve a port for your service.
						lowercase_      :	Optional[int]						=			socket.socket()  # Create a socket object
						lowercase_      :	Any						=			socket.gethostname()  # Get local machine name
						sock.bind((host, port)				)  # Bind to the port
						sock.listen(5				)  # Now wait for client connection.

						print('''Server listening....'''				)

						while True:
												lowercase_		,					lowercase_      :	int						=			sock.accept()  # Establish connection with client.
												print(F'''Got connection from {addr}'''				)
												lowercase_      :	int						=			conn.recv(1024				)
												print(F'''Server received: {data = }'''				)

												with open(__SCREAMING_SNAKE_CASE , '''rb'''				) as in_file:
																		lowercase_      :	Dict						=			in_file.read(1024				)
																		while data:
																								conn.send(__SCREAMING_SNAKE_CASE				)
																								print(F'''Sent {data!r}'''				)
																								lowercase_      :	Tuple						=			in_file.read(1024				)

												print('''Done sending'''				)
												conn.close()
												if testing:  # Allow the test to complete
																		break

						sock.shutdown(1				)
						sock.close()


if __name__ == "__main__":
							send_file()





'''simple docstring'''







from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding






class 					lowerCAmelCase__  (    lowerCamelCase_	):
					lowerCAmelCase_	  =	['''image_processor''', '''tokenizer''']
					lowerCAmelCase_	  =	'''EfficientNetImageProcessor'''
					lowerCAmelCase_	  =	('''BertTokenizer''', '''BertTokenizerFast''')






					def __init__(  self							,				__SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											super().__init__(__SCREAMING_SNAKE_CASE							,				__SCREAMING_SNAKE_CASE						)






					def __call__(  self							,				__SCREAMING_SNAKE_CASE=None							,				__SCREAMING_SNAKE_CASE=None							,				__SCREAMING_SNAKE_CASE="max_length"							,				__SCREAMING_SNAKE_CASE=64							,				__SCREAMING_SNAKE_CASE=None							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											if text is None and images is None:
																	raise ValueError('''You have to specify either text or images. Both cannot be none.'''						)

											if text is not None:
																	lowercase_      :	str						=			self.tokenizer(
																	    __SCREAMING_SNAKE_CASE							,				padding=__SCREAMING_SNAKE_CASE							,				max_length=__SCREAMING_SNAKE_CASE							,				return_tensors=__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)

											if images is not None:
																	lowercase_      :	int						=			self.image_processor(__SCREAMING_SNAKE_CASE							,				return_tensors=__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)

											if text is not None and images is not None:
																	lowercase_      :	Any						=			image_features.pixel_values
																	return encoding
											elif text is not None:
																	return encoding
											else:
																	return BatchEncoding(data=dict(**__SCREAMING_SNAKE_CASE						)							,				tensor_type=__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											return self.tokenizer.batch_decode(*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)






					def       _snake_case       (  self							,				*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						):


											"""simple docstring"""





											return self.tokenizer.decode(*__SCREAMING_SNAKE_CASE							,				**__SCREAMING_SNAKE_CASE						)






					@property
					def       _snake_case       (  self						):


											"""simple docstring"""





											lowercase_      :	Dict						=			self.tokenizer.model_input_names
											lowercase_      :	Optional[int]						=			self.image_processor.model_input_names
											return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names						)						)



