




'''simple docstring'''

import importlib
import math
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Tuple, Union

import flax
import jax.numpy as jnp

from ..utils import BaseOutput


a    :							List[Any]										=    'scheduler_config.json'






class 		a							(  _lowerCamelCase	):
				snake_case_           =						1
				snake_case_           =						2
				snake_case_           =						3
				snake_case_           =						4
				snake_case_           =						5







@dataclass
class 		a							(  _lowerCamelCase	):
				snake_case_           =						42







class 		a							:
				snake_case_           =						SCHEDULER_CONFIG_NAME
				snake_case_           =						["dtype"]
				snake_case_           =						[]
				snake_case_           =						True


				@classmethod
				def     A_					(						cls       :   Tuple			,							lowercase_       :   Dict[str, Any] = None			,							lowercase_       :   Optional[str] = None			,							lowercase_       :   List[str]=False			,							**lowercase_       :   Any			,							):
									snake_case_     ,snake_case_		     =							cls.load_config(
									    pretrained_model_name_or_path=lowercase_			,							subfolder=lowercase_			,							return_unused_kwargs=lowercase_			,							**lowercase_			,							)
									snake_case_     ,snake_case_		     =							cls.from_config(lowercase_			,							return_unused_kwargs=lowercase_			,							**lowercase_   )

									if hasattr(lowercase_			,							'''create_state'''   ) and getattr(lowercase_			,							'''has_state'''			,							lowercase_   ):
														snake_case_		     =							scheduler.create_state()

									if return_unused_kwargs:
														return scheduler, state, unused_kwargs

									return scheduler, state


				def     A_					(						self       :   int			,							lowercase_       :   Union[str, os.PathLike]			,							lowercase_       :   bool = False			,							**lowercase_       :   List[str]   ):
									self.save_config(save_directory=lowercase_			,							push_to_hub=lowercase_			,							**lowercase_   )


				@property
				def     A_					(						self       :   Optional[int]   ):
									return self._get_compatibles()


				@classmethod
				def     A_					(						cls       :   Union[str, Any]   ):
									snake_case_		     =							list(set([cls.__name__] + cls._compatibles   )   )
									snake_case_		     =							importlib.import_module(__name__.split('''.'''   )[0]   )
									snake_case_		     =							[
									    getattr(lowercase_			,							lowercase_   ) for c in compatible_classes_str if hasattr(lowercase_			,							lowercase_   )
									]
									return compatible_classes







def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase      )						->   jnp.ndarray:

					'''simple docstring'''

					assert len(__UpperCAmelCase      ) >= x.ndim
					return jnp.broadcast_to(x.reshape(x.shape + (1,) * (len(__UpperCAmelCase      ) - x.ndim)      ), __UpperCAmelCase      )


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase=0.9_9_9, __UpperCAmelCase=jnp.floataa      )						->   jnp.ndarray:

					'''simple docstring'''

					def alpha_bar(__UpperCAmelCase      ):
										return math.cos((time_step + 0.0_0_8) / 1.0_0_8 * math.pi / 2      ) ** 2

					snake_case_		     =							[]
					for i in range(__UpperCAmelCase      ):
										snake_case_		     =							i / num_diffusion_timesteps
										snake_case_		     =							(i + 1) / num_diffusion_timesteps
										betas.append(min(1 - alpha_bar(__UpperCAmelCase      ) / alpha_bar(__UpperCAmelCase      ), __UpperCAmelCase      )      )
					return jnp.array(__UpperCAmelCase, dtype=__UpperCAmelCase      )






@flax.struct.dataclass
class 		a							:
				snake_case_           =						42
				snake_case_           =						42
				snake_case_           =						42


				@classmethod
				def     A_					(						cls       :   int			,							lowercase_       :   Tuple   ):
									snake_case_		     =							scheduler.config

									if config.trained_betas is not None:
														snake_case_		     =							jnp.asarray(config.trained_betas			,							dtype=scheduler.dtype   )
									elif config.beta_schedule == "linear":
														snake_case_		     =							jnp.linspace(config.beta_start			,							config.beta_end			,							config.num_train_timesteps			,							dtype=scheduler.dtype   )
									elif config.beta_schedule == "scaled_linear":
														# this schedule is very specific to the latent diffusion model.
														snake_case_		     =							(
														    jnp.linspace(
														        config.beta_start**0.5			,							config.beta_end**0.5			,							config.num_train_timesteps			,							dtype=scheduler.dtype   )
														    ** 2
														)
									elif config.beta_schedule == "squaredcos_cap_v2":
														# Glide cosine schedule
														snake_case_		     =							betas_for_alpha_bar(config.num_train_timesteps			,							dtype=scheduler.dtype   )
									else:
														raise NotImplementedError(
														    F"beta_schedule {config.beta_schedule} is not implemented for scheduler {scheduler.__class__.__name__}"   )

									snake_case_		     =							1.0 - betas

									snake_case_		     =							jnp.cumprod(lowercase_			,							axis=0   )

									return cls(
									    alphas=lowercase_			,							betas=lowercase_			,							alphas_cumprod=lowercase_			,							)







def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )						->   Any:

					'''simple docstring'''

					snake_case_		     =							state.alphas_cumprod

					snake_case_		     =							alphas_cumprod[timesteps] ** 0.5
					snake_case_		     =							sqrt_alpha_prod.flatten()
					snake_case_		     =							broadcast_to_shape_from_left(__UpperCAmelCase, original_samples.shape      )

					snake_case_		     =							(1 - alphas_cumprod[timesteps]) ** 0.5
					snake_case_		     =							sqrt_one_minus_alpha_prod.flatten()
					snake_case_		     =							broadcast_to_shape_from_left(__UpperCAmelCase, original_samples.shape      )

					return sqrt_alpha_prod, sqrt_one_minus_alpha_prod


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )						->   int:

					'''simple docstring'''

					snake_case_     ,snake_case_		     =							get_sqrt_alpha_prod(__UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )
					snake_case_		     =							sqrt_alpha_prod * original_samples + sqrt_one_minus_alpha_prod * noise
					return noisy_samples


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )						->   str:

					'''simple docstring'''

					snake_case_     ,snake_case_		     =							get_sqrt_alpha_prod(__UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )
					snake_case_		     =							sqrt_alpha_prod * noise - sqrt_one_minus_alpha_prod * sample
					return velocity







'''simple docstring'''

import heapq
import sys

import numpy as np

a    :							Dict										=    tuple[int, int]






class 		a							:


				def __init__(						self       :   Dict   ):
									snake_case_		     =							[]
									snake_case_		     =							set()


				def     A_					(						self       :   int   ):
									if not self.empty():
														return self.elements[0][0]
									else:
														return float('''inf'''   )


				def     A_					(						self       :   List[str]   ):
									return len(self.elements   ) == 0


				def     A_					(						self       :   Union[str, Any]			,							lowercase_       :   str			,							lowercase_       :   List[str]   ):
									if item not in self.set:
														heapq.heappush(self.elements			,							(priority, item)   )
														self.set.add(lowercase_   )
									else:
														# update
														# print("update", item)
														snake_case_		     =							[]
														((snake_case_)     ,(snake_case_))		     =							heapq.heappop(self.elements   )
														while x != item:
																			temp.append((pri, x)   )
																			((snake_case_)     ,(snake_case_))		     =							heapq.heappop(self.elements   )
														temp.append((priority, item)   )
														for pro, xxx in temp:
																			heapq.heappush(self.elements			,							(pro, xxx)   )


				def     A_					(						self       :   Union[str, Any]			,							lowercase_       :   List[Any]   ):
									if item in self.set:
														self.set.remove(lowercase_   )
														snake_case_		     =							[]
														((snake_case_)     ,(snake_case_))		     =							heapq.heappop(self.elements   )
														while x != item:
																			temp.append((pro, x)   )
																			((snake_case_)     ,(snake_case_))		     =							heapq.heappop(self.elements   )
														for prito, yyy in temp:
																			heapq.heappush(self.elements			,							(prito, yyy)   )


				def     A_					(						self       :   Optional[int]   ):
									return self.elements[0][1]


				def     A_					(						self       :   Tuple   ):
									((snake_case_)     ,(snake_case_))		     =							heapq.heappop(self.elements   )
									self.set.remove(lowercase_   )
									return (priority, item)







def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase      )						->   Any:

					'''simple docstring'''

					snake_case_		     =							np.array(__UpperCAmelCase      )
					snake_case_		     =							np.array(__UpperCAmelCase      )
					return np.linalg.norm(a - b      )


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase      )						->   int:

					'''simple docstring'''

					return consistent_heuristic(__UpperCAmelCase, __UpperCAmelCase      ) // t


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase      )						->   List[str]:

					'''simple docstring'''

					return abs(p[0] - goal[0]      ) + abs(p[1] - goal[1]      )


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )						->   Optional[int]:

					'''simple docstring'''

					snake_case_		     =							g_function[start] + Wa * heuristics[i](__UpperCAmelCase, __UpperCAmelCase      )
					return ans


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )						->   Optional[Any]:

					'''simple docstring'''

					snake_case_		     =							np.chararray((n, n)      )
					for i in range(__UpperCAmelCase      ):
										for j in range(__UpperCAmelCase      ):
															snake_case_		     =							'''*'''

					for i in range(__UpperCAmelCase      ):
										for j in range(__UpperCAmelCase      ):
															if (j, (n - 1) - i) in blocks:
																				snake_case_		     =							'''#'''

					snake_case_		     =							'''-'''
					snake_case_		     =							back_pointer[goal]
					while x != start:
										((snake_case_)     ,(snake_case_))		     =							x
										# print(x)
										snake_case_		     =							'''-'''
										snake_case_		     =							back_pointer[x]
					snake_case_		     =							'''-'''

					for i in range(__UpperCAmelCase      ):
										for j in range(__UpperCAmelCase      ):
															if (i, j) == (0, n - 1):
																				print(grid[i][j], end=''' '''      )
																				print('''<-- End position''', end=''' '''      )
															else:
																				print(grid[i][j], end=''' '''      )
										print()
					print('''^'''      )
					print('''Start position'''      )
					print()
					print('''# is an obstacle'''      )
					print('''- is the path taken by algorithm'''      )
					print('''PATH TAKEN BY THE ALGORITHM IS:-'''      )
					snake_case_		     =							back_pointer[goal]
					while x != start:
										print(__UpperCAmelCase, end=''' '''      )
										snake_case_		     =							back_pointer[x]
					print(__UpperCAmelCase      )
					sys.exit()


def 						__magic_name__       (      __UpperCAmelCase      )						->   int:

					'''simple docstring'''

					if p[0] < 0 or p[0] > n - 1:
										return False
					if p[1] < 0 or p[1] > n - 1:
										return False
					return True


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, )						->   str:

					'''simple docstring'''

					for itera in range(__UpperCAmelCase      ):
										open_list[itera].remove_element(__UpperCAmelCase      )
					# print("s", s)
					# print("j", j)
					((snake_case_)     ,(snake_case_))		     =							s
					snake_case_		     =							(x - 1, y)
					snake_case_		     =							(x + 1, y)
					snake_case_		     =							(x, y + 1)
					snake_case_		     =							(x, y - 1)

					for neighbours in [left, right, up, down]:
										if neighbours not in blocks:
															if valid(__UpperCAmelCase      ) and neighbours not in visited:
																				# print("neighbour", neighbours)
																				visited.add(__UpperCAmelCase      )
																				snake_case_		     =							-1
																				snake_case_		     =							float('''inf'''      )

															if valid(__UpperCAmelCase      ) and g_function[neighbours] > g_function[s] + 1:
																				snake_case_		     =							g_function[s] + 1
																				snake_case_		     =							s
																				if neighbours not in close_list_anchor:
																									open_list[0].put(__UpperCAmelCase, key(__UpperCAmelCase, 0, __UpperCAmelCase, __UpperCAmelCase      )      )
																									if neighbours not in close_list_inad:
																														for var in range(1, __UpperCAmelCase      ):
																																			if key(__UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      ) <= Wa * key(
																																			    __UpperCAmelCase, 0, __UpperCAmelCase, __UpperCAmelCase      ):
																																								open_list[j].put(
																																								    __UpperCAmelCase, key(__UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )      )


def 						__magic_name__       (      )						->   str:

					'''simple docstring'''

					snake_case_		     =							[]
					for x in range(1, 5      ):
										for y in range(1, 6      ):
															some_list.append((x, y)      )

					for x in range(15, 20      ):
										some_list.append((x, 17)      )

					for x in range(10, 19      ):
										for y in range(1, 15      ):
															some_list.append((x, y)      )

    # L block
					for x in range(1, 4      ):
										for y in range(12, 19      ):
															some_list.append((x, y)      )
					for x in range(3, 13      ):
										for y in range(16, 19      ):
															some_list.append((x, y)      )
					return some_list


a    :							Tuple										=    {0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

a    :							Dict										=    [
    (0, 1),
    (1, 1),
    (2, 1),
    (3, 1),
    (4, 1),
    (5, 1),
    (6, 1),
    (7, 1),
    (8, 1),
    (9, 1),
    (10, 1),
    (11, 1),
    (12, 1),
    (13, 1),
    (14, 1),
    (15, 1),
    (16, 1),
    (17, 1),
    (18, 1),
    (19, 1),
]
a    :							List[str]										=    make_common_ground()


a    :							Optional[int]										=    blocks_blk
# hyper parameters
a    :							Union[str, Any]										=    1
a    :							str										=    1
a    :							int										=    20
a    :							Optional[int]										=    3  # one consistent and two other inconsistent

# start and end destination
a    :							List[str]										=    (0, 0)
a    :							str										=    (n - 1, n - 1)

a    :							str										=    1


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )						->   List[str]:

					'''simple docstring'''

					snake_case_		     =							{start: 0, goal: float('''inf'''      )}
					snake_case_		     =							{start: -1, goal: -1}
					snake_case_		     =							[]
					snake_case_		     =							set()

					for i in range(__UpperCAmelCase      ):
										open_list.append(PriorityQueue()      )
										open_list[i].put(__UpperCAmelCase, key(__UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )      )

					snake_case_		     =							[]
					snake_case_		     =							[]
					while open_list[0].minkey() < float('''inf'''      ):
										for i in range(1, __UpperCAmelCase      ):
															# print(open_list[0].minkey(), open_list[i].minkey())
															if open_list[i].minkey() <= Wa * open_list[0].minkey():
																				global t
																				t += 1
																				if g_function[goal] <= open_list[i].minkey():
																									if g_function[goal] < float('''inf'''      ):
																														do_something(__UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )
																				else:
																									snake_case_     ,snake_case_		     =							open_list[i].top_show()
																									visited.add(__UpperCAmelCase      )
																									expand_state(
																									    __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, )
																									close_list_inad.append(__UpperCAmelCase      )
															else:
																				if g_function[goal] <= open_list[0].minkey():
																									if g_function[goal] < float('''inf'''      ):
																														do_something(__UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )
																				else:
																									snake_case_		     =							open_list[0].top_show()
																									visited.add(__UpperCAmelCase      )
																									expand_state(
																									    __UpperCAmelCase, 0, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, )
																									close_list_anchor.append(__UpperCAmelCase      )
					print('''No path found to goal'''      )
					print()
					for i in range(n - 1, -1, -1      ):
										for j in range(__UpperCAmelCase      ):
															if (j, i) in blocks:
																				print('''#''', end=''' '''      )
															elif (j, i) in back_pointer:
																				if (j, i) == (n - 1, n - 1):
																									print('''*''', end=''' '''      )
																				else:
																									print('''-''', end=''' '''      )
															else:
																				print('''*''', end=''' '''      )
															if (j, i) == (n - 1, n - 1):
																				print('''<-- End position''', end=''' '''      )
										print()
					print('''^'''      )
					print('''Start position'''      )
					print()
					print('''# is an obstacle'''      )
					print('''- is the path taken by algorithm'''      )


if __name__ == "__main__":
							multi_a_star(start, goal, n_heuristic)

