
'''simple docstring'''
import socket




def    _UpperCamelCase						(       )  ->							Optional[int]:


		'''simple docstring'''


		snake_case  :       Optional[Any]     			=						socket.socket(socket.AF_INET ,       socket.SOCK_STREAM			)
		snake_case  :       Dict     			=						socket.gethostname()
		snake_case  :       Optional[Any]     			=						1_2312

		sock.connect((host, port)			)
		sock.send(B'''Hello server!'''			)

		with open('''Received_file''' ,       '''wb'''			) as out_file:
				print('''File opened'''			)
				print('''Receiving data...'''			)
				while True:
						snake_case  :       List[Any]     			=						sock.recv(1024			)
						if not data:
								break
						out_file.write(SCREAMING_SNAKE_CASE__			)

		print('''Successfully received the file'''			)
		sock.close()
		print('''Connection closed'''			)


if __name__ == "__main__":
						main()




'''simple docstring'''
from .data_collator import (
    DataCollatorForLanguageModeling,
    DataCollatorForPermutationLanguageModeling,
    DataCollatorForSeqaSeq,
    DataCollatorForSOP,
    DataCollatorForTokenClassification,
    DataCollatorForWholeWordMask,
    DataCollatorWithPadding,
    DefaultDataCollator,
    default_data_collator,
)
from .metrics import glue_compute_metrics, xnli_compute_metrics
from .processors import (
    DataProcessor,
    InputExample,
    InputFeatures,
    SingleSentenceClassificationProcessor,
    SquadExample,
    SquadFeatures,
    SquadVaProcessor,
    SquadVaProcessor,
    glue_convert_examples_to_features,
    glue_output_modes,
    glue_processors,
    glue_tasks_num_labels,
    squad_convert_examples_to_features,
    xnli_output_modes,
    xnli_processors,
    xnli_tasks_num_labels,
)


