
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_			:


  '''simple docstring'''







  a__           =		None
  a__           =		None
  a__           =		None  # sigma(t_i)
  @classmethod
  def 							_lowercase							( cls			: List[str]    )			->	Dict:







    """simple docstring"""






    return cls()







@dataclass
class        UpperCAmelCase_			( _A     ):


  '''simple docstring'''







  a__           =		42
  a__           =		42
  a__           =		42







class        UpperCAmelCase_			( _A  ,       _A     ):


  '''simple docstring'''







  @property
  def 							_lowercase							( self			: Any    )			->	Tuple:







    """simple docstring"""






    return True
  @register_to_config
  def __init__( self			: Dict			,							UpperCamelCase__			: float = 0.02			,							UpperCamelCase__			: float = 100			,							UpperCamelCase__			: float = 1.007			,							UpperCamelCase__			: float = 80			,							UpperCamelCase__			: float = 0.05			,							UpperCamelCase__			: float = 50			,							)			->	List[Any]:







    """simple docstring"""






    pass
  def 							_lowercase							( self			: Optional[Any]    )			->	Optional[int]:







    """simple docstring"""






    return KarrasVeSchedulerState.create()
  def 							_lowercase							( self			: List[str]			,							UpperCamelCase__			: KarrasVeSchedulerState			,							UpperCamelCase__			: int			,							UpperCamelCase__			: Tuple = ()    )			->	KarrasVeSchedulerState:







    """simple docstring"""






    __magic_name__				     =       jnp.arange(0			,							UpperCamelCase__    )[::-1].copy()
    __magic_name__				     =       [
        (
            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=UpperCamelCase__			,							schedule=jnp.array(UpperCamelCase__			,							dtype=jnp.floataa    )			,							timesteps=UpperCamelCase__			,							)
  def 							_lowercase							( self			: int			,							UpperCamelCase__			: KarrasVeSchedulerState			,							UpperCamelCase__			: jnp.ndarray			,							UpperCamelCase__			: float			,							UpperCamelCase__			: random.KeyArray			,							)			->	Tuple[jnp.ndarray, float]:







    """simple docstring"""






    if self.config.s_min <= sigma <= self.config.s_max:
      __magic_name__				     =       min(self.config.s_churn / state.num_inference_steps			,							2**0.5 - 1    )
    else:
      __magic_name__				     =       0

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

    return sample_hat, sigma_hat
  def 							_lowercase							( self			: Optional[Any]			,							UpperCamelCase__			: KarrasVeSchedulerState			,							UpperCamelCase__			: jnp.ndarray			,							UpperCamelCase__			: float			,							UpperCamelCase__			: float			,							UpperCamelCase__			: jnp.ndarray			,							UpperCamelCase__			: bool = True			,							)			->	Union[FlaxKarrasVeOutput, Tuple]:







    """simple docstring"""






    __magic_name__				     =       sample_hat + sigma_hat * model_output
    __magic_name__				     =       (sample_hat - pred_original_sample) / sigma_hat
    __magic_name__				     =       sample_hat + (sigma_prev - sigma_hat) * derivative

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

    return FlaxKarrasVeOutput(prev_sample=UpperCamelCase__			,							derivative=UpperCamelCase__			,							state=UpperCamelCase__    )
  def 							_lowercase							( self			: str			,							UpperCamelCase__			: KarrasVeSchedulerState			,							UpperCamelCase__			: jnp.ndarray			,							UpperCamelCase__			: float			,							UpperCamelCase__			: float			,							UpperCamelCase__			: jnp.ndarray			,							UpperCamelCase__			: jnp.ndarray			,							UpperCamelCase__			: jnp.ndarray			,							UpperCamelCase__			: bool = True			,							)			->	Union[FlaxKarrasVeOutput, Tuple]:







    """simple docstring"""






    __magic_name__				     =       sample_prev + sigma_prev * model_output
    __magic_name__				     =       (sample_prev - pred_original_sample) / sigma_prev
    __magic_name__				     =       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=UpperCamelCase__			,							derivative=UpperCamelCase__			,							state=UpperCamelCase__    )





  def 							_lowercase							( self			: str			,							UpperCamelCase__			: KarrasVeSchedulerState			,							UpperCamelCase__			: str			,							UpperCamelCase__			: Optional[int]			,							UpperCamelCase__			: Any    )			->	str:







    """simple docstring"""






    raise NotImplementedError()








'''simple docstring'''


import unittest

from transformers.testing_utils import CaptureStdout
from transformers.tools.python_interpreter import evaluate
def 							UpperCAmelCase_  (						__lowerCamelCase					:					List[Any] ):
   return x + 2


class       a_   (				unittest.TestCase							):





     def 							lowercase__      ( self		:					Optional[Any]						):





        """simple docstring"""




        lowercase_			:Optional[int]    			= "x = 3"
        lowercase_			:Any    			= {}
        lowercase_			:Any    			= evaluate(lowercase	,      {}	,      state=lowercase						)
        assert result == 3
        self.assertDictEqual(lowercase	,      {"x": 3}						)

        lowercase_			:Dict    			= "x = y"
        lowercase_			:Dict    			= {"y": 5}
        lowercase_			:str    			= evaluate(lowercase	,      {}	,      state=lowercase						)
        # evaluate returns the value of the last assignment.
        assert result == 5
        self.assertDictEqual(lowercase	,      {"x": 5, "y": 5}						)





     def 							lowercase__      ( self		:					List[Any]						):





        """simple docstring"""




        lowercase_			:Dict    			= "y = add_two(x)"
        lowercase_			:Optional[Any]    			= {"x": 3}
        lowercase_			:int    			= evaluate(lowercase	,      {"add_two": add_two}	,      state=lowercase						)
        assert result == 5
        self.assertDictEqual(lowercase	,      {"x": 3, "y": 5}						)

        # Won't work without the tool
        with CaptureStdout() as out:
           lowercase_			:List[Any]    			= evaluate(lowercase	,      {}	,      state=lowercase						)
        assert result is None
        assert "tried to execute add_two" in out.out





     def 							lowercase__      ( self		:					int						):





        """simple docstring"""




        lowercase_			:Optional[int]    			= "x = 3"
        lowercase_			:Any    			= {}
        lowercase_			:Any    			= evaluate(lowercase	,      {}	,      state=lowercase						)
        assert result == 3
        self.assertDictEqual(lowercase	,      {"x": 3}						)





     def 							lowercase__      ( self		:					Any						):





        """simple docstring"""




        lowercase_			:Optional[Any]    			= "test_dict = {'x': x, 'y': add_two(x)}"
        lowercase_			:List[str]    			= {"x": 3}
        lowercase_			:Any    			= evaluate(lowercase	,      {"add_two": add_two}	,      state=lowercase						)
        self.assertDictEqual(lowercase	,      {"x": 3, "y": 5}						)
        self.assertDictEqual(lowercase	,      {"x": 3, "test_dict": {"x": 3, "y": 5}}						)





     def 							lowercase__      ( self		:					Optional[Any]						):





        """simple docstring"""




        lowercase_			:Optional[int]    			= "x = 3\ny = 5"
        lowercase_			:Union[str, Any]    			= {}
        lowercase_			:Optional[int]    			= evaluate(lowercase	,      {}	,      state=lowercase						)
        # evaluate returns the value of the last assignment.
        assert result == 5
        self.assertDictEqual(lowercase	,      {"x": 3, "y": 5}						)





     def 							lowercase__      ( self		:					List[Any]						):





        """simple docstring"""




        lowercase_			:List[str]    			= "text = f'This is x: {x}.'"
        lowercase_			:int    			= {"x": 3}
        lowercase_			:int    			= evaluate(lowercase	,      {}	,      state=lowercase						)
        # evaluate returns the value of the last assignment.
        assert result == "This is x: 3."
        self.assertDictEqual(lowercase	,      {"x": 3, "text": "This is x: 3."}						)





     def 							lowercase__      ( self		:					Optional[int]						):





        """simple docstring"""




        lowercase_			:List[Any]    			= "if x <= 3:\n    y = 2\nelse:\n    y = 5"
        lowercase_			:List[str]    			= {"x": 3}
        lowercase_			:Union[str, Any]    			= evaluate(lowercase	,      {}	,      state=lowercase						)
        # evaluate returns the value of the last assignment.
        assert result == 2
        self.assertDictEqual(lowercase	,      {"x": 3, "y": 2}						)

        lowercase_			:List[str]    			= {"x": 8}
        lowercase_			:Tuple    			= evaluate(lowercase	,      {}	,      state=lowercase						)
        # evaluate returns the value of the last assignment.
        assert result == 5
        self.assertDictEqual(lowercase	,      {"x": 8, "y": 5}						)





     def 							lowercase__      ( self		:					Dict						):





        """simple docstring"""




        lowercase_			:Any    			= "test_list = [x, add_two(x)]"
        lowercase_			:Optional[int]    			= {"x": 3}
        lowercase_			:List[str]    			= evaluate(lowercase	,      {"add_two": add_two}	,      state=lowercase						)
        self.assertListEqual(lowercase	,      [3, 5]						)
        self.assertDictEqual(lowercase	,      {"x": 3, "test_list": [3, 5]}						)





     def 							lowercase__      ( self		:					List[Any]						):





        """simple docstring"""




        lowercase_			:str    			= "y = x"
        lowercase_			:Any    			= {"x": 3}
        lowercase_			:Tuple    			= evaluate(lowercase	,      {}	,      state=lowercase						)
        assert result == 3
        self.assertDictEqual(lowercase	,      {"x": 3, "y": 3}						)





     def 							lowercase__      ( self		:					Any						):





        """simple docstring"""




        lowercase_			:List[Any]    			= "test_list = [x, add_two(x)]\ntest_list[1]"
        lowercase_			:Dict    			= {"x": 3}
        lowercase_			:Any    			= evaluate(lowercase	,      {"add_two": add_two}	,      state=lowercase						)
        assert result == 5
        self.assertDictEqual(lowercase	,      {"x": 3, "test_list": [3, 5]}						)

        lowercase_			:Union[str, Any]    			= "test_dict = {'x': x, 'y': add_two(x)}\ntest_dict['y']"
        lowercase_			:List[Any]    			= {"x": 3}
        lowercase_			:List[Any]    			= evaluate(lowercase	,      {"add_two": add_two}	,      state=lowercase						)
        assert result == 5
        self.assertDictEqual(lowercase	,      {"x": 3, "test_dict": {"x": 3, "y": 5}}						)







     def 							lowercase__      ( self		:					Any						):





        """simple docstring"""




        lowercase_			:Dict    			= "x = 0\nfor i in range(3):\n    x = i"
        lowercase_			:Any    			= {}
        lowercase_			:Tuple    			= evaluate(lowercase	,      {"range": range}	,      state=lowercase						)
        assert result == 2
        self.assertDictEqual(lowercase	,      {"x": 2, "i": 2}						)


