




"""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


SCREAMING_SNAKE_CASE				=       "scheduler_config.json"




class 	UpperCAmelCase_  (						A_							):
    lowercase__											=      1
    lowercase__											=      2
    lowercase__											=      3
    lowercase__											=      4
    lowercase__											=      5
    lowercase__											=      6
    lowercase__											=      7
    lowercase__											=      8
    lowercase__											=      9
    lowercase__											=      10
    lowercase__											=      11
    lowercase__											=      12
    lowercase__											=      13
    lowercase__											=      14






@dataclass
class 	UpperCAmelCase_  (						A_							):
    lowercase__											=      42






class 	UpperCAmelCase_  :
    lowercase__											=      SCHEDULER_CONFIG_NAME
    lowercase__											=      []
    lowercase__											=      True




    @classmethod
    def 							__magic_name__							(    cls						:       int	, snake_case_						:       List[str] = None	, snake_case_						:       Dict = None	, snake_case_						:       str=False	, **snake_case_						:       Optional[int]	, )      ->							Optional[Any]:




     '''simple docstring'''

     A__       =				cls.load_config(
         pretrained_model_name_or_path=SCREAMING_SNAKE_CASE__	, subfolder=SCREAMING_SNAKE_CASE__	, return_unused_kwargs=SCREAMING_SNAKE_CASE__	, return_commit_hash=SCREAMING_SNAKE_CASE__	, **SCREAMING_SNAKE_CASE__	, )
     return cls.from_config(SCREAMING_SNAKE_CASE__	, return_unused_kwargs=SCREAMING_SNAKE_CASE__	, **SCREAMING_SNAKE_CASE__      )




    def 							__magic_name__							(    self						:       Optional[Any]	, snake_case_						:       List[str]	, snake_case_						:       Tuple = False	, **snake_case_						:       Optional[int]      )      ->							Optional[int]:




     '''simple docstring'''

     self.save_config(save_directory=SCREAMING_SNAKE_CASE__	, push_to_hub=SCREAMING_SNAKE_CASE__	, **SCREAMING_SNAKE_CASE__      )




    @property
    def 							__magic_name__							(    self						:       int      )      ->							Tuple:




     '''simple docstring'''

     return self._get_compatibles()




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




     '''simple docstring'''

     A__       =				list(set([cls.__name__] + cls._compatibles      )      )
     A__       =				importlib.import_module(__name__.split("."      )[0]      )
     A__       =				[
         getattr(SCREAMING_SNAKE_CASE__	, SCREAMING_SNAKE_CASE__      ) for c in compatible_classes_str if hasattr(SCREAMING_SNAKE_CASE__	, SCREAMING_SNAKE_CASE__      )
     ]
     return compatible_classes












"""simple docstring"""
import qiskit



def      __lowerCamelCase   (							a_     :		int ,   a_     :		int							)			->      qiskit.result.counts.Counts:
      __SCREAMING_SNAKE_CASE   :Tuple						=  qiskit.Aer.get_backend('''aer_simulator'''							)

      # Create a Quantum Circuit acting on the q register
      __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  qiskit.QuantumCircuit(a_ ,   a_							)

      # Apply X (NOT) Gate to Qubits 0 & 1
      circuit.x(0							)
      circuit.x(1							)

      # Map the quantum measurement to the classical bits
      circuit.measure([0, 1] ,   [0, 1]							)

      # Execute the circuit on the qasm simulator
      __SCREAMING_SNAKE_CASE   :Tuple						=  qiskit.execute(a_ ,   a_ ,   shots=10_00							)

      # Return the histogram data of the results of the experiment.
      return job.result().get_counts(a_							)


if __name__ == "__main__":
  lowerCamelCase_								=		single_qubit_measure(2, 2)
  print(f'Total count for various states are: {counts}')