"""simple docstring"""





from dataclasses import dataclass
from typing import Optional, Tuple, Union

import flax
import jax.numpy as jnp
from jax import random

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin




@flax.struct.dataclass
class  _snake_case		:







				"""simple docstring"""






				a			=						None
				a			=						None
				a			=						None  # sigma(t_i)





				@classmethod
				def 		_lowerCAmelCase		(      cls							:							Optional[int]):



											"""simple docstring"""







											return cls()




@dataclass
class  _snake_case		(    __snake_case ):







				"""simple docstring"""






				a			=						42
				a			=						42
				a			=						42




class  _snake_case		(    __snake_case   ,       __snake_case ):







				"""simple docstring"""






				@property
				def 		_lowerCAmelCase		(      self							:							Tuple):



											"""simple docstring"""







											return True





				@register_to_config
				def __init__(      self							:							Dict      ,    _A							:							float = 0.02      ,    _A							:							float = 1_0_0      ,    _A							:							float = 1.007      ,    _A							:							float = 8_0      ,    _A							:							float = 0.05      ,    _A							:							float = 5_0      ,    ):



											"""simple docstring"""







											pass





				def 		_lowerCAmelCase		(      self							:							Union[str, Any]):



											"""simple docstring"""







											return KarrasVeSchedulerState.create()





				def 		_lowerCAmelCase		(      self							:							List[Any]      ,    _A							:							KarrasVeSchedulerState      ,    _A							:							int      ,    _A							:							Tuple = ()):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						str			  =    jnp.arange(0      ,    _A)[::-1].copy()
											_SCREAMING_SNAKE_CASE		:						str			  =    [
											    (
											        self.config.sigma_max**2
											        * (self.config.sigma_min**2 / self.config.sigma_max**2) ** (i / (num_inference_steps - 1))
											    )
											    for i in timesteps
											]

											return state.replace(
											    num_inference_steps=_A      ,    schedule=jnp.array(_A      ,    dtype=jnp.floataa)      ,    timesteps=_A      ,    )





				def 		_lowerCAmelCase		(      self							:							str      ,    _A							:							KarrasVeSchedulerState      ,    _A							:							jnp.ndarray      ,    _A							:							float      ,    _A							:							random.KeyArray      ,    ):



											"""simple docstring"""







											if self.config.s_min <= sigma <= self.config.s_max:
																		_SCREAMING_SNAKE_CASE		:						int			  =    min(self.config.s_churn / state.num_inference_steps      ,    2**0.5 - 1)
											else:
																		_SCREAMING_SNAKE_CASE		:						List[Any]			  =    0

											# sample eps ~ N(0, S_noise^2 * I)
											_SCREAMING_SNAKE_CASE		:						Dict			  =    random.split(_A      ,    num=1)
											_SCREAMING_SNAKE_CASE		:						Any			  =    self.config.s_noise * random.normal(key=_A      ,    shape=sample.shape)
											_SCREAMING_SNAKE_CASE		:						Tuple			  =    sigma + gamma * sigma
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    sample + ((sigma_hat**2 - sigma**2) ** 0.5 * eps)

											return sample_hat, sigma_hat





				def 		_lowerCAmelCase		(      self							:							Tuple      ,    _A							:							KarrasVeSchedulerState      ,    _A							:							jnp.ndarray      ,    _A							:							float      ,    _A							:							float      ,    _A							:							jnp.ndarray      ,    _A							:							bool = True      ,    ):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						int			  =    sample_hat + sigma_hat * model_output
											_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    (sample_hat - pred_original_sample) / sigma_hat
											_SCREAMING_SNAKE_CASE		:						Dict			  =    sample_hat + (sigma_prev - sigma_hat) * derivative

											if not return_dict:
																		return (sample_prev, derivative, state)

											return FlaxKarrasVeOutput(prev_sample=_A      ,    derivative=_A      ,    state=_A)





				def 		_lowerCAmelCase		(      self							:							Union[str, Any]      ,    _A							:							KarrasVeSchedulerState      ,    _A							:							jnp.ndarray      ,    _A							:							float      ,    _A							:							float      ,    _A							:							jnp.ndarray      ,    _A							:							jnp.ndarray      ,    _A							:							jnp.ndarray      ,    _A							:							bool = True      ,    ):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						int			  =    sample_prev + sigma_prev * model_output
											_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    (sample_prev - pred_original_sample) / sigma_prev
											_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    sample_hat + (sigma_prev - sigma_hat) * (0.5 * derivative + 0.5 * derivative_corr)

											if not return_dict:
																		return (sample_prev, derivative, state)

											return FlaxKarrasVeOutput(prev_sample=_A      ,    derivative=_A      ,    state=_A)





				def 		_lowerCAmelCase		(      self							:							Optional[int]      ,    _A							:							KarrasVeSchedulerState      ,    _A							:							int      ,    _A							:							Optional[Any]      ,    _A							:							Union[str, Any]):



											"""simple docstring"""







											raise NotImplementedError()



"""simple docstring"""





import argparse
from collections import defaultdict



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    int:
							_SCREAMING_SNAKE_CASE		:						str			  =    F"""{file}_{class_name}_{test_name}"""
							done_test[_id] += 1

							with open(__SCREAMING_SNAKE_CASE     ,	"""r"""  ) as f:
														_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    f.readlines()

							_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    F"""class {class_name}("""
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    F"""{4 * " "}def {test_name}("""
							_SCREAMING_SNAKE_CASE		:						Tuple			  =    F"""{8 * " "}{correct_line.split()[0]}"""
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    F"""{16 * " "}{correct_line.split()[0]}"""
							_SCREAMING_SNAKE_CASE		:						List[str]			  =    False
							_SCREAMING_SNAKE_CASE		:						Tuple			  =    False
							_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    False
							_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    False
							_SCREAMING_SNAKE_CASE		:						Any			  =    0
							_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    0

							_SCREAMING_SNAKE_CASE		:						Dict			  =    []
							for line in lines:
														if line.startswith(__SCREAMING_SNAKE_CASE  ):
																					_SCREAMING_SNAKE_CASE		:						Any			  =    True
														elif in_class and line.startswith(__SCREAMING_SNAKE_CASE  ):
																					_SCREAMING_SNAKE_CASE		:						str			  =    True
														elif in_class and in_func and (line.startswith(__SCREAMING_SNAKE_CASE  ) or line.startswith(__SCREAMING_SNAKE_CASE  )):
																					_SCREAMING_SNAKE_CASE		:						Dict			  =    len(line.split(correct_line.split()[0]  )[0]  )
																					count += 1

																					if count == done_test[_id]:
																												_SCREAMING_SNAKE_CASE		:						int			  =    True

														if in_class and in_func and in_line:
																					if ")" not in line:
																												continue
																					else:
																												_SCREAMING_SNAKE_CASE		:						Any			  =    True

														if in_class and in_func and in_line and insert_line:
																					new_lines.append(F"""{spaces * " "}{correct_line}"""  )
																					_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    False
														else:
																					new_lines.append(__SCREAMING_SNAKE_CASE  )

							with open(__SCREAMING_SNAKE_CASE     ,	"""w"""  ) as f:
														for line in new_lines:
																					f.write(__SCREAMING_SNAKE_CASE  )



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE=None  )->    Optional[Any]:
							if fail is not None:
														with open(__SCREAMING_SNAKE_CASE     ,	"""r"""  ) as f:
																					_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    {l.strip() for l in f.readlines()}
							else:
														_SCREAMING_SNAKE_CASE		:						str			  =    None

							with open(__SCREAMING_SNAKE_CASE     ,	"""r"""  ) as f:
														_SCREAMING_SNAKE_CASE		:						str			  =    f.readlines()

							_SCREAMING_SNAKE_CASE		:						str			  =    defaultdict(__SCREAMING_SNAKE_CASE  )
							for line in correct_lines:
														_SCREAMING_SNAKE_CASE  ,				_SCREAMING_SNAKE_CASE  ,				_SCREAMING_SNAKE_CASE  ,				_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    line.split(""";"""  )
														if test_failures is None or "::".join([file, class_name, test_name]  ) in test_failures:
																					overwrite_file(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )


if __name__ == "__main__":
			lowerCAmelCase_     =	argparse.ArgumentParser()
			parser.add_argument('''--correct_filename''', help='''filename of tests with expected result''')
			parser.add_argument('''--fail_filename''', help='''filename of test failures''', type=str, default=None)
			lowerCAmelCase_     =	parser.parse_args()

			main(args.correct_filename, args.fail_filename)


