


'''simple docstring'''



def     _UpperCamelCase      (		UpperCamelCase__					):

				# bit count represents no. of bits in the gray code
				if bit_count < 0:
								raise ValueError("""The given input must be positive"""					)

				# get the generated string sequence
				UpperCAmelCase__  :					Tuple        =     gray_code_sequence_string(UpperCamelCase__					)
				#
				# convert them to integers
				for i in range(len(UpperCamelCase__					)					):
								UpperCAmelCase__  :					Tuple        =     int(sequence[i] ,      2					)

				return sequence







def     _UpperCamelCase      (		UpperCamelCase__					):

				# The approach is a recursive one
				# Base case achieved when either n = 0 or n=1
				if bit_count == 0:
								return ["0"]

				if bit_count == 1:
								return ["0", "1"]

				UpperCAmelCase__  :					List[Any]        =     1 << bit_count  # defines the length of the sequence
				# 1<< n is equivalent to 2^n

				# recursive answer will generate answer for n-1 bits
				UpperCAmelCase__  :					int        =     gray_code_sequence_string(bit_count - 1					)

				UpperCAmelCase__  :					Union[str, Any]        =     []

				# append 0 to first half of the smaller sequence generated
				for i in range(seq_len // 2					):
								UpperCAmelCase__  :					List[str]        =     """0""" + smaller_sequence[i]
								sequence.append(UpperCamelCase__					)

				# append 1 to second half ... start from the end of the list
				for i in reversed(range(seq_len // 2					)					):
								UpperCAmelCase__  :					Dict        =     """1""" + smaller_sequence[i]
								sequence.append(UpperCamelCase__					)

				return sequence


if __name__ == "__main__":
		import doctest

		doctest.testmod()



'''simple docstring'''



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

import torch

from ..utils import BaseOutput


__A	='scheduler_config.json'


class 		_snake_case					(     a__	):
					lowerCAmelCase      :Union[str, Any]   =					1
					lowerCAmelCase      :Union[str, Any]   =					2
					lowerCAmelCase      :Optional[int]   =					3
					lowerCAmelCase      :Optional[int]   =					4
					lowerCAmelCase      :Any   =					5
					lowerCAmelCase      :Tuple   =					6
					lowerCAmelCase      :List[Any]   =					7
					lowerCAmelCase      :str   =					8
					lowerCAmelCase      :List[Any]   =					9
					lowerCAmelCase      :List[str]   =					10
					lowerCAmelCase      :Union[str, Any]   =					11
					lowerCAmelCase      :Optional[int]   =					12
					lowerCAmelCase      :str   =					13
					lowerCAmelCase      :Dict   =					14


@dataclass
class 		_snake_case					(     a__	):
					lowerCAmelCase      :torch.FloatTensor


class 		_snake_case					:
					lowerCAmelCase      :str   =					SCHEDULER_CONFIG_NAME
					lowerCAmelCase      :Union[str, Any]   =					[]
					lowerCAmelCase      :List[str]   =					True




					@classmethod
					def 				snake_case__						(      cls							,							_lowerCamelCase = None							,							_lowerCamelCase = None							,							_lowerCamelCase=False							,							**_lowerCamelCase							,							):
								UpperCAmelCase__   ,       UpperCAmelCase__   ,       UpperCAmelCase__  :					Optional[int]        =     cls.load_config(
								    pretrained_model_name_or_path=_lowerCamelCase							,							subfolder=_lowerCamelCase							,							return_unused_kwargs=_lowerCamelCase							,							return_commit_hash=_lowerCamelCase							,							**_lowerCamelCase							,							)
								return cls.from_config(_lowerCamelCase							,							return_unused_kwargs=_lowerCamelCase							,							**_lowerCamelCase)




					def 				snake_case__						(      self							,							_lowerCamelCase							,							_lowerCamelCase = False							,							**_lowerCamelCase):
								self.save_config(save_directory=_lowerCamelCase							,							push_to_hub=_lowerCamelCase							,							**_lowerCamelCase)




					@property
					def 				snake_case__						(      self):
								return self._get_compatibles()




					@classmethod
					def 				snake_case__						(      cls):
								UpperCAmelCase__  :					List[Any]        =     list(set([cls.__name__] + cls._compatibles))
								UpperCAmelCase__  :					int        =     importlib.import_module(__name__.split(""".""")[0])
								UpperCAmelCase__  :					Dict        =     [
								    getattr(_lowerCamelCase							,							_lowerCamelCase) for c in compatible_classes_str if hasattr(_lowerCamelCase							,							_lowerCamelCase)
								]
								return compatible_classes