




def 					A				(				_SCREAMING_SNAKE_CASE = "mytext.txt"			,_SCREAMING_SNAKE_CASE = False   )     ->			None:
       import socket

       lowerCamelCase       :				str      			= 1_2312  # Reserve a port for your service.
       lowerCamelCase       :				int      			= socket.socket()  # Create a socket object
       lowerCamelCase       :				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:
              lowerCamelCase			,				lowerCamelCase       :				List[Any]      			= sock.accept()  # Establish connection with client.
              print(f'''Got connection from {addr}'''   )
              lowerCamelCase       :				Tuple      			= conn.recv(1024   )
              print(f'''Server received: {data = }'''   )

              with open(_SCREAMING_SNAKE_CASE			,"rb"   ) as in_file:
                     lowerCamelCase       :				Any      			= in_file.read(1024   )
                     while data:
                            conn.send(_SCREAMING_SNAKE_CASE   )
                            print(f'''Sent {data!r}'''   )
                            lowerCamelCase       :				Any      			= 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()












from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE__	:				Optional[int]  =       {
    'configuration_gptsan_japanese': ['GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTSanJapaneseConfig'],
    'tokenization_gptsan_japanese': ['GPTSanJapaneseTokenizer'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       SCREAMING_SNAKE_CASE__	:				Optional[int]  =       [
           'GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
           'GPTSanJapaneseForConditionalGeneration',
           'GPTSanJapaneseModel',
           'GPTSanJapanesePreTrainedModel',
       ]
       SCREAMING_SNAKE_CASE__	:				List[str]  =       [
           'GPTSanJapaneseTokenizer',
       ]


if TYPE_CHECKING:
       from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
       from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gptsan_japanese import (
                  GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTSanJapaneseForConditionalGeneration,
                  GPTSanJapaneseModel,
                  GPTSanJapanesePreTrainedModel,
              )
              from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
       import sys

       SCREAMING_SNAKE_CASE__	:				Optional[Any]  =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






