





import importlib

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







def    __lowerCamelCase					(							__a   :List[Any]    ,     __a   :Optional[Any]=False    )		->				Optional[Any]:






		"""simple docstring"""

		A__        =   OmegaConf.load(__a    )
		if display:
				print(yaml.dump(OmegaConf.to_container(__a    )    )    )
		return config







def    __lowerCamelCase					(							__a   :List[str]    ,     __a   :str=None    ,     __a   :int=None    )		->				int:






		"""simple docstring"""

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







def    __lowerCamelCase					(							__a   :str    ,     __a   :Optional[Any]    )		->				Dict:






		"""simple docstring"""

		A__      ,			A__      ,			A__        =   model.encode(__a    )
		print(F'VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}'    )
		A__        =   model.decode(__a    )
		return xrec







def    __lowerCamelCase					(							__a   :int    ,     __a   :Dict=False    )		->				Any:






		"""simple docstring"""

		A__      ,			A__        =   string.rsplit("""."""    ,     1    )
		if reload:
				A__        =   importlib.import_module(__a    )
				importlib.reload(__a    )
		return getattr(importlib.import_module(__a    ,     package=__a    )    ,     cls    )







def    __lowerCamelCase					(							__a   :Optional[Any]    )		->				str:






		"""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					(							__a   :Tuple    ,     __a   :Union[str, Any]    ,     __a   :Dict=True    ,     __a   :str=True    )		->				str:






		"""simple docstring"""

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







def    __lowerCamelCase					(							__a   :List[Any]    ,     __a   :Dict    ,     __a   :Tuple    ,     __a   :Tuple    )		->				Optional[Any]:






		"""simple docstring"""

		if ckpt:
				A__        =   torch.load(__a    ,     map_location="""cpu"""    )
				A__        =   pl_sd["""global_step"""]
				print(F'loaded model from global step {global_step}.'    )
		else:
				A__        =   {"""state_dict""": None}
				A__        =   None
		A__        =   load_model_from_config(config.model    ,     pl_sd["""state_dict"""]    ,     gpu=__a    ,     eval_mode=__a    )["""model"""]
		return model, global_step










# This code is adapted from OpenAI's release
# https://github.com/openai/human-eval/blob/master/human_eval/execution.py

import contextlib
import faulthandler
import io
import multiprocessing
import os
import platform
import signal
import tempfile







def    __lowerCamelCase					(							__a   :List[str]    ,     __a   :List[Any]    ,     __a   :Union[str, Any]    ,     __a   :List[Any]    )		->				Dict:






		"""simple docstring"""

		A__        =   multiprocessing.Manager()
		A__        =   manager.list()

		A__        =   multiprocessing.Process(target=__a    ,     args=(check_program, result, timeout)    )
		p.start()
		p.join(timeout=timeout + 1    )
		if p.is_alive():
				p.kill()

		if not result:
				result.append("""timed out"""    )

		return {
		    "task_id": task_id,
		    "passed": result[0] == "passed",
		    "result": result[0],
		    "completion_id": completion_id,
		}







def    __lowerCamelCase					(							__a   :Optional[Any]    ,     __a   :Any    ,     __a   :List[Any]    )		->				Union[str, Any]:






		"""simple docstring"""

		with create_tempdir():
				# These system calls are needed when cleaning up tempdir.
				import os
				import shutil

				A__        =   shutil.rmtree
				A__        =   os.rmdir
				A__        =   os.chdir

				# Disable functionalities that can make destructive changes to the test.
				reliability_guard()

				# Run program.
				try:
						A__        =   {}
						with swallow_io():
								with time_limit(__a    ):
										exec(__a    ,     __a    )
						result.append("""passed"""    )
				except TimeoutException:
						result.append("""timed out"""    )
				except BaseException as e:
						result.append(F'failed: {e}'    )

				# Needed for cleaning up.
				A__        =   rmtree
				A__        =   rmdir
				A__        =   chdir







@contextlib.contextmanager
def    __lowerCamelCase					(							__a   :List[str]    )		->				Dict:






		"""simple docstring"""

		def signal_handler(__a   :List[Any]    ,     __a   :Optional[Any]    ):
				raise TimeoutException("""Timed out!"""    )

		signal.setitimer(signal.ITIMER_REAL    ,     __a    )
		signal.signal(signal.SIGALRM    ,     __a    )
		try:
				yield
		finally:
				signal.setitimer(signal.ITIMER_REAL    ,     0    )







@contextlib.contextmanager
def    __lowerCamelCase					(							)		->				Union[str, Any]:






		"""simple docstring"""

		A__        =   WriteOnlyStringIO()
		with contextlib.redirect_stdout(__a    ):
				with contextlib.redirect_stderr(__a    ):
						with redirect_stdin(__a    ):
								yield







@contextlib.contextmanager
def    __lowerCamelCase					(							)		->				Dict:






		"""simple docstring"""

		with tempfile.TemporaryDirectory() as dirname:
				with chdir(__a    ):
						yield dirname


class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




			pass


class   A			(io.StringIO    ):
			'''simple docstring'''




			def    a_       (			self   :    Any							,	*__lowerCAmelCase   :    List[str]							,	**__lowerCAmelCase   :    str   )	->	Dict:







					"""simple docstring"""






					raise OSError






			def    a_       (			self   :    Optional[Any]							,	*__lowerCAmelCase   :    Any							,	**__lowerCAmelCase   :    Optional[int]   )	->	str:







					"""simple docstring"""






					raise OSError






			def    a_       (			self   :    Optional[Any]							,	*__lowerCAmelCase   :    Any							,	**__lowerCAmelCase   :    Any   )	->	int:







					"""simple docstring"""






					raise OSError







			def    a_       (			self   :    str							,	*__lowerCAmelCase   :    Any							,	**__lowerCAmelCase   :    Union[str, Any]   )	->	int:







					"""simple docstring"""






					return False


class   A			(contextlib._RedirectStream    ):  # type: ignore
			'''simple docstring'''




			__lowerCamelCase	:       Union[str, Any]							=    '''stdin'''







@contextlib.contextmanager
def    __lowerCamelCase					(							__a   :Union[str, Any]    )		->				List[str]:






		"""simple docstring"""

		if root == ".":
				yield
				return
		A__        =   os.getcwd()
		os.chdir(__a    )
		try:
				yield
		except BaseException as exc:
				raise exc
		finally:
				os.chdir(__a    )







def    __lowerCamelCase					(							__a   :Union[str, Any]=None    )		->				Dict:






		"""simple docstring"""

		if maximum_memory_bytes is not None:
				import resource

				resource.setrlimit(resource.RLIMIT_AS    ,     (maximum_memory_bytes, maximum_memory_bytes)    )
				resource.setrlimit(resource.RLIMIT_DATA    ,     (maximum_memory_bytes, maximum_memory_bytes)    )
				if not platform.uname().system == "Darwin":
						resource.setrlimit(resource.RLIMIT_STACK    ,     (maximum_memory_bytes, maximum_memory_bytes)    )

		faulthandler.disable()

		import builtins

		A__        =   None
		A__        =   None

		import os

		A__        =   """1"""

		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None

		import shutil

		A__        =   None
		A__        =   None
		A__        =   None

		import subprocess

		A__        =   None  # type: ignore

		A__        =   None

		import sys

		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None
		A__        =   None



