




'''simple docstring'''


import importlib

import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel
def 	snake_case_					(UpperCamelCase :						Any				,		UpperCamelCase :						List[str]=False   ):





							'''simple docstring'''


							_a			  =       OmegaConf.load(UpperCamelCase   )
							if display:
														print(yaml.dump(OmegaConf.to_container(UpperCamelCase   )   )   )
							return config
def 	snake_case_					(UpperCamelCase :						int				,		UpperCamelCase :						int=None				,		UpperCamelCase :						Dict=None   ):





							'''simple docstring'''


							if conf_path is None:
														_a			  =       '''./model_checkpoints/vqgan_only.yaml'''
							_a			  =       load_config(UpperCamelCase				,		display=UpperCamelCase   )
							_a			  =       VQModel(**config.model.params   )
							if ckpt_path is None:
														_a			  =       '''./model_checkpoints/vqgan_only.pt'''
							_a			  =       torch.load(UpperCamelCase				,		map_location=UpperCamelCase   )
							if ".ckpt" in ckpt_path:
														_a			  =       sd['''state_dict''']
							model.load_state_dict(UpperCamelCase				,		strict=UpperCamelCase   )
							model.to(UpperCamelCase   )
							del sd
							return model
def 	snake_case_					(UpperCamelCase :						Optional[Any]				,		UpperCamelCase :						List[Any]   ):





							'''simple docstring'''


							_a  ,							_a  ,							_a			  =       model.encode(UpperCamelCase   )
							print(f'VQGAN --- {model.__class__.__name__}: latent shape: {z.shape[2:]}'   )
							_a			  =       model.decode(UpperCamelCase   )
							return xrec
def 	snake_case_					(UpperCamelCase :						Union[str, Any]				,		UpperCamelCase :						Tuple=False   ):





							'''simple docstring'''


							_a  ,							_a			  =       string.rsplit('''.'''				,		1   )
							if reload:
														_a			  =       importlib.import_module(UpperCamelCase   )
														importlib.reload(UpperCamelCase   )
							return getattr(importlib.import_module(UpperCamelCase				,		package=UpperCamelCase   )				,		cls   )
def 	snake_case_					(UpperCamelCase :						List[Any]   ):





							'''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 	snake_case_					(UpperCamelCase :						Union[str, Any]				,		UpperCamelCase :						Tuple				,		UpperCamelCase :						Tuple=True				,		UpperCamelCase :						Optional[int]=True   ):





							'''simple docstring'''


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

def 	snake_case_					(UpperCamelCase :						Dict				,		UpperCamelCase :						int				,		UpperCamelCase :						int				,		UpperCamelCase :						Optional[Any]   ):





							'''simple docstring'''


							if ckpt:
														_a			  =       torch.load(UpperCamelCase				,		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=UpperCamelCase				,		eval_mode=UpperCamelCase   )['''model''']
							return model, global_step







'''simple docstring'''


import math
import unittest
def 	snake_case_					(UpperCamelCase :						int   ):





							'''simple docstring'''


							assert isinstance(UpperCamelCase				,		UpperCamelCase   ) and (
							    number >= 0
							), "'number' must been an int and positive"

							if 1 < number < 4:
														# 2 and 3 are primes
														return True
							elif number < 2 or number % 2 == 0 or number % 3 == 0:
														# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
														return False

							# All primes number are in format of 6k +/- 1
							for i in range(5				,		int(math.sqrt(UpperCamelCase   ) + 1   )				,		6   ):
														if number % i == 0 or number % (i + 2) == 0:
																					return False
							return True

class     A					(	unittest.TestCase					):







							def      __lowerCAmelCase    (						self :						Union[str, Any]      )    ->							Optional[Any]:


														"""simple docstring"""


														self.assertTrue(is_prime(2      )      )
														self.assertTrue(is_prime(3      )      )
														self.assertTrue(is_prime(5      )      )
														self.assertTrue(is_prime(7      )      )
														self.assertTrue(is_prime(11      )      )
														self.assertTrue(is_prime(13      )      )
														self.assertTrue(is_prime(17      )      )
														self.assertTrue(is_prime(19      )      )
														self.assertTrue(is_prime(23      )      )
														self.assertTrue(is_prime(29      )      )







							def      __lowerCAmelCase    (						self :						Any      )    ->							Dict:


														"""simple docstring"""


														with self.assertRaises(lowerCAmelCase_      ):
																					is_prime(-19      )
														self.assertFalse(
														    is_prime(0      )							,    '''Zero doesn\'t have any positive factors, primes must have exactly two.'''							,    )
														self.assertFalse(
														    is_prime(1      )							,    '''One only has 1 positive factor, primes must have exactly two.'''							,    )
														self.assertFalse(is_prime(2 * 2      )      )
														self.assertFalse(is_prime(2 * 3      )      )
														self.assertFalse(is_prime(3 * 3      )      )
														self.assertFalse(is_prime(3 * 5      )      )
														self.assertFalse(is_prime(3 * 5 * 7      )      )


if __name__ == "__main__":
				unittest.main()

