


'''simple docstring'''

import importlib

import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel





def lowerCamelCase      (      lowerCAmelCase    :     Tuple		,		lowerCAmelCase    :     List[Any]=False		):





	"""simple docstring"""







	__magic_name__	:   List[Any]					     =					OmegaConf.load(lowerCAmelCase		)
	if display:
		print(yaml.dump(OmegaConf.to_container(lowerCAmelCase		)		)		)
	return config





def lowerCamelCase      (      lowerCAmelCase    :     List[str]		,		lowerCAmelCase    :     Any=None		,		lowerCAmelCase    :     Union[str, Any]=None		):





	"""simple docstring"""







	if conf_path is None:
		__magic_name__	:   int					     =					'./model_checkpoints/vqgan_only.yaml'
	__magic_name__	:   List[str]					     =					load_config(lowerCAmelCase		,		display=lowerCAmelCase		)
	__magic_name__	:   str					     =					VQModel(**config.model.params		)
	if ckpt_path is None:
		__magic_name__	:   str					     =					'./model_checkpoints/vqgan_only.pt'
	__magic_name__	:   Tuple					     =					torch.load(lowerCAmelCase		,		map_location=lowerCAmelCase		)
	if ".ckpt" in ckpt_path:
		__magic_name__	:   List[str]					     =					sd['state_dict']
	model.load_state_dict(lowerCAmelCase		,		strict=lowerCAmelCase		)
	model.to(lowerCAmelCase		)
	del sd
	return model





def lowerCamelCase      (      lowerCAmelCase    :     List[Any]		,		lowerCAmelCase    :     Any		):





	"""simple docstring"""







	__magic_name__     ,    __magic_name__     ,    __magic_name__	:   Tuple					     =					model.encode(lowerCAmelCase		)
	print(f'VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}'		)
	__magic_name__	:   Tuple					     =					model.decode(lowerCAmelCase		)
	return xrec





def lowerCamelCase      (      lowerCAmelCase    :     List[Any]		,		lowerCAmelCase    :     Union[str, Any]=False		):





	"""simple docstring"""







	__magic_name__     ,    __magic_name__	:   List[str]					     =					string.rsplit('.'		,		1		)
	if reload:
		__magic_name__	:   Any					     =					importlib.import_module(lowerCAmelCase		)
		importlib.reload(lowerCAmelCase		)
	return getattr(importlib.import_module(lowerCAmelCase		,		package=lowerCAmelCase		)		,		cls		)





def lowerCamelCase      (      lowerCAmelCase    :     int		):





	"""simple docstring"""







	if "target" not in config:
		raise KeyError('Expected key `target` to instantiate.'		)
	return get_obj_from_str(config['target']		)(**config.get('params'		,		{}		)		)





def lowerCamelCase      (      lowerCAmelCase    :     str		,		lowerCAmelCase    :     Any		,		lowerCAmelCase    :     str=True		,		lowerCAmelCase    :     Any=True		):





	"""simple docstring"""







	__magic_name__	:   Dict					     =					instantiate_from_config(lowerCAmelCase		)
	if sd is not None:
		model.load_state_dict(lowerCAmelCase		)
	if gpu:
		model.cuda()
	if eval_mode:
		model.eval()
	return {"model": model}





def lowerCamelCase      (      lowerCAmelCase    :     str		,		lowerCAmelCase    :     List[Any]		,		lowerCAmelCase    :     Optional[int]		,		lowerCAmelCase    :     Any		):





	"""simple docstring"""







	if ckpt:
		__magic_name__	:   str					     =					torch.load(lowerCAmelCase		,		map_location='cpu'		)
		__magic_name__	:   Union[str, Any]					     =					pl_sd['global_step']
		print(f'loaded model from global step {global_step}.'		)
	else:
		__magic_name__	:   Optional[int]					     =					{'state_dict': None}
		__magic_name__	:   Optional[int]					     =					None
	__magic_name__	:   Optional[int]					     =					load_model_from_config(config.model		,		pl_sd['state_dict']		,		gpu=lowerCAmelCase		,		eval_mode=lowerCAmelCase		)['model']
	return model, global_step



'''simple docstring'''

import socket





def lowerCamelCase      (      ):





	"""simple docstring"""







	__magic_name__	:   List[str]					     =					socket.socket(socket.AF_INET		,		socket.SOCK_STREAM		)
	__magic_name__	:   Union[str, Any]					     =					socket.gethostname()
	__magic_name__	:   int					     =					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:
			__magic_name__	:   Optional[int]					     =					sock.recv(1024		)
			if not data:
				break
			out_file.write(lowerCAmelCase		)

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


if __name__ == "__main__":
							main()