


"""simple docstring"""



def     UpperCAmelCase    (					_lowercase   :      str = "mytext.txt" ,      _lowercase   :      bool = False  )	->   None:


	"""simple docstring"""




	import socket

	lowerCAmelCase_			       = 1_2_3_1_2  # Reserve a port for your service.
	lowerCAmelCase_			       = socket.socket()  # Create a socket object
	lowerCAmelCase_			       = 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:
		lowerCAmelCase_       ,  lowerCAmelCase_			       = sock.accept()  # Establish connection with client.
		print(F"""Got connection from {addr}"""  )
		lowerCAmelCase_			       = conn.recv(1_0_2_4  )
		print(F"""Server received: {data = }"""  )

		with open(_lowercase ,      '''rb'''  ) as in_file:
			lowerCAmelCase_			       = in_file.read(1_0_2_4  )
			while data:
				conn.send(_lowercase  )
				print(F"""Sent {data!r}"""  )
				lowerCAmelCase_			       = in_file.read(1_0_2_4  )

		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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_							 =       {
    'configuration_prophetnet': ['PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ProphetNetConfig'],
    'tokenization_prophetnet': ['ProphetNetTokenizer'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       [
		    'PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ProphetNetDecoder',
		    'ProphetNetEncoder',
		    'ProphetNetForCausalLM',
		    'ProphetNetForConditionalGeneration',
		    'ProphetNetModel',
		    'ProphetNetPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
		from .tokenization_prophetnet import ProphetNetTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_prophetnet import (
				    PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ProphetNetDecoder,
				    ProphetNetEncoder,
				    ProphetNetForCausalLM,
				    ProphetNetForConditionalGeneration,
				    ProphetNetModel,
				    ProphetNetPreTrainedModel,
				)

else:
		import sys

		lowercase_							 =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)