
"""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      _UpperCAmelCase							:
  # setable values
  __SCREAMING_SNAKE_CASE   :							Optional[int]							      =	None
  __SCREAMING_SNAKE_CASE   :							Optional[jnp.ndarray]							      =	None
  __SCREAMING_SNAKE_CASE   :							Optional[jnp.ndarray]							      =	None  # sigma(t_i)




  @classmethod
  def     a_      (							cls							)						->					Optional[int]:
      return cls()

@dataclass
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):
  __SCREAMING_SNAKE_CASE   :							jnp.ndarray
  __SCREAMING_SNAKE_CASE   :							jnp.ndarray
  __SCREAMING_SNAKE_CASE   :							KarrasVeSchedulerState

class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_     ,			SCREAMING_SNAKE_CASE_							):




  @property
  def     a_      (							self							)						->					List[str]:
      return True




  @register_to_config
  def __init__(							self   ,       lowercase_ = 0.0_2   ,       lowercase_ = 1_0_0   ,       lowercase_ = 1.0_0_7   ,       lowercase_ = 8_0   ,       lowercase_ = 0.0_5   ,       lowercase_ = 5_0   ,       )						->					Optional[Any]:
      pass




  def     a_      (							self							)						->					Optional[int]:
      return KarrasVeSchedulerState.create()




  def     a_      (							self   ,       lowercase_   ,       lowercase_   ,       lowercase_ = ()							)						->					KarrasVeSchedulerState:
      UpperCAmelCase									=					jnp.arange(0   ,       lowercase_							)[::-1].copy()
      UpperCAmelCase									=					[
          (
              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=lowercase_   ,       schedule=jnp.array(lowercase_   ,       dtype=jnp.floataa							)   ,       timesteps=lowercase_   ,       )




  def     a_      (							self   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       )						->					Tuple[jnp.ndarray, float]:
      if self.config.s_min <= sigma <= self.config.s_max:
          UpperCAmelCase									=					min(self.config.s_churn / state.num_inference_steps   ,       2**0.5 - 1							)
      else:
          UpperCAmelCase									=					0

      # sample eps ~ N(0, S_noise^2 * I)
      UpperCAmelCase									=					random.split(lowercase_   ,       num=1							)
      UpperCAmelCase									=					self.config.s_noise * random.normal(key=lowercase_   ,       shape=sample.shape							)
      UpperCAmelCase									=					sigma + gamma * sigma
      UpperCAmelCase									=					sample + ((sigma_hat**2 - sigma**2) ** 0.5 * eps)

      return sample_hat, sigma_hat




  def     a_      (							self   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_ = True   ,       )						->					Union[FlaxKarrasVeOutput, Tuple]:
      UpperCAmelCase									=					sample_hat + sigma_hat * model_output
      UpperCAmelCase									=					(sample_hat - pred_original_sample) / sigma_hat
      UpperCAmelCase									=					sample_hat + (sigma_prev - sigma_hat) * derivative

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

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




  def     a_      (							self   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_ = True   ,       )						->					Union[FlaxKarrasVeOutput, Tuple]:
      UpperCAmelCase									=					sample_prev + sigma_prev * model_output
      UpperCAmelCase									=					(sample_prev - pred_original_sample) / sigma_prev
      UpperCAmelCase									=					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=lowercase_   ,       derivative=lowercase_   ,       state=lowercase_							)




  def     a_      (							self   ,       lowercase_   ,       lowercase_   ,       lowercase_   ,       lowercase_							)						->					Optional[Any]:
      raise NotImplementedError()





"""simple docstring"""

import os
from collections.abc import Iterator




def     lowercase__						(					lowerCAmelCase				:					str = "." ) ->      Iterator[str]:






    """simple docstring"""




    for dir_path, dir_names, filenames in os.walk(lowerCAmelCase ):
        UpperCAmelCase									=					[d for d in dir_names if d != 'scripts' and d[0] not in '._']
        for filename in filenames:
            if filename == "__init__.py":
                continue
            if os.path.splitext(lowerCAmelCase )[1] in (".py", ".ipynb"):
                yield os.path.join(lowerCAmelCase ,				lowerCAmelCase ).lstrip('./' )




def     lowercase__						(					lowerCAmelCase				:					Union[str, Any] ) ->      Any:






    """simple docstring"""




    return F"{i * '  '}*" if i else "\n##"




def     lowercase__						(					lowerCAmelCase				:					str ,				lowerCAmelCase				:					str ) ->      str:






    """simple docstring"""




    UpperCAmelCase									=					old_path.split(os.sep )
    for i, new_part in enumerate(new_path.split(os.sep ) ):
        if (i + 1 > len(lowerCAmelCase ) or old_parts[i] != new_part) and new_part:
            print(F"{md_prefix(lowerCAmelCase )} {new_part.replace('_' ,				' ' ).title()}" )
    return new_path




def     lowercase__						(					lowerCAmelCase				:					str = "." ) ->      None:






    """simple docstring"""




    UpperCAmelCase									=					''
    for filepath in sorted(good_file_paths(lowerCAmelCase ) ):
        UpperCAmelCase			,							UpperCAmelCase									=					os.path.split(lowerCAmelCase )
        if filepath != old_path:
            UpperCAmelCase									=					print_path(lowerCAmelCase ,				lowerCAmelCase )
        UpperCAmelCase									=					(filepath.count(os.sep ) + 1) if filepath else 0
        UpperCAmelCase									=					F"{filepath}/{filename}".replace(' ' ,				'%20' )
        UpperCAmelCase									=					os.path.splitext(filename.replace('_' ,				' ' ).title() )[0]
        print(F"{md_prefix(lowerCAmelCase )} [{filename}]({url})" )


if __name__ == "__main__":
   print_directory_md('''.''')



