



'''simple docstring'''






def        snake_case_   (	lowerCAmelCase_ = "mytext.txt"			,  lowerCAmelCase_ = False						)->						None:





       '''simple docstring'''


       import socket

       _UpperCAmelCase    :		Optional[int]     	=					12312  # Reserve a port for your service.
       _UpperCAmelCase    :		int     	=					socket.socket()  # Create a socket object
       _UpperCAmelCase    :		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:
              _UpperCAmelCase	,_UpperCAmelCase    :		List[Any]     	=					sock.accept()  # Establish connection with client.
              print(F'''Got connection from {addr}'''						)
              _UpperCAmelCase    :		Optional[Any]     	=					conn.recv(1024						)
              print(F'''Server received: {data = }'''						)

              with open(lowerCAmelCase_			,  """rb"""						) as in_file:
                     _UpperCAmelCase    :		Optional[Any]     	=					in_file.read(1024						)
                     while data:
                            conn.send(lowerCAmelCase_						)
                            print(F'''Sent {data!r}'''						)
                            _UpperCAmelCase    :		List[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 Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


UpperCamelCase__	:   int								=     [
    "AutomaticSpeechRecognition",
    "AudioClassification",
    "ImageClassification",
    "LanguageModeling",
    "QuestionAnsweringExtractive",
    "Summarization",
    "TaskTemplate",
    "TextClassification",
]

UpperCamelCase__	:   Any								=     get_logger(__name__)


UpperCamelCase__	:   Union[str, Any]								=     {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}


def        _UpperCAmelCase							(	_SCREAMING_SNAKE_CASE       :		dict							):





    """simple docstring"""


    SCREAMING_SNAKE_CASE_						=    task_template_dict.get('task'							)
    if task_name is None:
        logger.warning(f"""Couldn't find template for task '{task_name}'. Available templates: {list(_SCREAMING_SNAKE_CASE							)}"""							)
        return None
    SCREAMING_SNAKE_CASE_						=    NAMEaTEMPLATE.get(_SCREAMING_SNAKE_CASE							)
    return template.from_dict(_SCREAMING_SNAKE_CASE							)


