
def        lowerCamelCase_  (   __UpperCamelCase = "mytext.txt" ,						__UpperCamelCase = False     ):
				import socket

				A_       	=  1_23_12  # Reserve a port for your service.
				A_       	=  socket.socket()  # Create a socket object
				A_       	=  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:
								A_	,					A_       	=  sock.accept()  # Establish connection with client.
								print(F"Got connection from {addr}"     )
								A_       	=  conn.recv(10_24     )
								print(F"Server received: {data = }"     )

								with open(_UpperCAmelCase ,						'''rb'''     ) as in_file:
												A_       	=  in_file.read(10_24     )
												while data:
																conn.send(_UpperCAmelCase     )
																print(F"Sent {data!r}"     )
																A_       	=  in_file.read(10_24     )

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

				sock.shutdown(1     )
				sock.close()


if __name__ == "__main__":
						send_file()


from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available






@dataclass
class 					__lowercase		(					A       ):
					__magic_name__						:							int     	=	{
					    '''sld_warmup_steps''': 15,
					    '''sld_guidance_scale''': 20,
					    '''sld_threshold''': 0.0,
					    '''sld_momentum_scale''': 0.0,
					    '''sld_mom_beta''': 0.0,
					}
					__magic_name__						:							Optional[int]     	=	{
					    '''sld_warmup_steps''': 10,
					    '''sld_guidance_scale''': 10_00,
					    '''sld_threshold''': 0.01,
					    '''sld_momentum_scale''': 0.3,
					    '''sld_mom_beta''': 0.4,
					}
					__magic_name__						:							str     	=	{
					    '''sld_warmup_steps''': 7,
					    '''sld_guidance_scale''': 20_00,
					    '''sld_threshold''': 0.0_25,
					    '''sld_momentum_scale''': 0.5,
					    '''sld_mom_beta''': 0.7,
					}
					__magic_name__						:							List[Any]     	=	{
					    '''sld_warmup_steps''': 0,
					    '''sld_guidance_scale''': 50_00,
					    '''sld_threshold''': 1.0,
					    '''sld_momentum_scale''': 0.5,
					    '''sld_mom_beta''': 0.7,
					}






@dataclass
class 					__lowercase		(					A       ):
					__magic_name__						:							Union[List[PIL.Image.Image], np.ndarray]
					__magic_name__						:							Optional[List[bool]]
					__magic_name__						:							Optional[Union[List[PIL.Image.Image], np.ndarray]]
					__magic_name__						:							Optional[str]


if is_transformers_available() and is_torch_available():
						from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
						from .safety_checker import SafeStableDiffusionSafetyChecker