

"""simple docstring"""


import argparse

import OmegaConf
import torch

from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel






def     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )	->	Optional[Any]:
		__lowerCAmelCase:       Union[str, Any]          =			OmegaConf.load(__SCREAMING_SNAKE_CASE )
		__lowerCAmelCase:       Optional[Any]          =			torch.load(__SCREAMING_SNAKE_CASE					, map_location="cpu" )["model"]
		__lowerCAmelCase:       Any          =			list(state_dict.keys() )

		# extract state_dict for VQVAE
		__lowerCAmelCase:       Optional[Any]          =			{}
		__lowerCAmelCase:       Union[str, Any]          =			"first_stage_model."
		for key in keys:
				if key.startswith(__SCREAMING_SNAKE_CASE ):
						__lowerCAmelCase:       Any          =			state_dict[key]

    # extract state_dict for UNetLDM
		__lowerCAmelCase:       List[str]          =			{}
		__lowerCAmelCase:       Optional[int]          =			"model.diffusion_model."
		for key in keys:
				if key.startswith(__SCREAMING_SNAKE_CASE ):
						__lowerCAmelCase:       Any          =			state_dict[key]

		__lowerCAmelCase:       List[Any]          =			config.model.params.first_stage_config.params
		__lowerCAmelCase:       str          =			config.model.params.unet_config.params

		__lowerCAmelCase:       Dict          =			VQModel(**__SCREAMING_SNAKE_CASE ).eval()
		vqvae.load_state_dict(__SCREAMING_SNAKE_CASE )

		__lowerCAmelCase:       str          =			UNetLDMModel(**__SCREAMING_SNAKE_CASE ).eval()
		unet.load_state_dict(__SCREAMING_SNAKE_CASE )

		__lowerCAmelCase:       Any          =			DDIMScheduler(
		    timesteps=config.model.params.timesteps					, beta_schedule="scaled_linear"					, beta_start=config.model.params.linear_start					, beta_end=config.model.params.linear_end					, clip_sample=__SCREAMING_SNAKE_CASE					, )

		__lowerCAmelCase:       int          =			LDMPipeline(__SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )
		pipeline.save_pretrained(__SCREAMING_SNAKE_CASE )


if __name__ == "__main__":
			__A						   =			argparse.ArgumentParser()
			parser.add_argument("--checkpoint_path", type=str, required=True)
			parser.add_argument("--config_path", type=str, required=True)
			parser.add_argument("--output_path", type=str, required=True)
			__A						   =			parser.parse_args()

			convert_ldm_original(args.checkpoint_path, args.config_path, args.output_path)





"""simple docstring"""


import pytest

from datasets import inspect_metric, list_metrics, load_metric






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	Union[str, Any]:
		monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"					, set() )






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	str:





		class     snake_case	:

						def __init__(	self							:				int     ,  UpperCamelCase__							:				Optional[int])->   Union[str, Any]:



								'''simple docstring'''


								__lowerCAmelCase:       str          =			metric_id





		class     snake_case	:
						SCREAMING_SNAKE_CASE_   :      List[Any]         =  [MetricMock(__snake_case  ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]

						def 							lowercase_     (	self							:				Tuple)->   Union[str, Any]:



								'''simple docstring'''


								return self._metrics


		monkeypatch.setattr("datasets.inspect.huggingface_hub"					, HfhMock() )






@pytest.mark.parametrize(
    "func, args"					, [(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))] )
def     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )	->	Optional[Any]:
		if "tmp_path" in args:
				__lowerCAmelCase:       Tuple          =			tuple(arg if arg != "tmp_path" else tmp_path for arg in args )
		with pytest.warns(__SCREAMING_SNAKE_CASE					, match="https://huggingface.co/docs/evaluate" ):
				func(*__SCREAMING_SNAKE_CASE )


