





import qiskit




def     A_      (	lowercase_ = 2	)      ->    str:
       _snake_case   :				Union[str, Any]  					=    qubits

       # Using Aer's simulator
       _snake_case   :				Optional[Any]  					=    qiskit.Aer.get_backend('''aer_simulator'''	)

       # Creating a Quantum Circuit acting on the q register
       _snake_case   :				Optional[int]  					=    qiskit.QuantumCircuit(lowercase_   ,		lowercase_	)

       # Adding a H gate on qubit 0 (now q0 in superposition)
       circuit.h(0	)

       for i in range(1   ,		lowercase_	):
              # Adding CX (CNOT) gate
              circuit.cx(i - 1   ,		lowercase_	)

       # Mapping the quantum measurement to the classical bits
       circuit.measure(list(range(lowercase_	)	)   ,		list(range(lowercase_	)	)	)

       # Now measuring any one qubit would affect other qubits to collapse
       # their super position and have same state as the measured one.

       # Executing the circuit on the simulator
       _snake_case   :				Dict  					=    qiskit.execute(lowercase_   ,		lowercase_   ,		shots=1000	)

       return job.result().get_counts(lowercase_	)


if __name__ == "__main__":
   print(F"""Total count for various states are: {quantum_entanglement(3)}""")









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


_lowerCAmelCase  :      int			 ="""scheduler_config.json"""

class __UpperCamelCase     (				_a		):






					'''simple docstring'''



					__magic_name__        =   1
					__magic_name__        =   2
					__magic_name__        =   3
					__magic_name__        =   4
					__magic_name__        =   5
					__magic_name__        =   6
					__magic_name__        =   7
					__magic_name__        =   8
					__magic_name__        =   9
					__magic_name__        =   1_0
					__magic_name__        =   1_1
					__magic_name__        =   1_2
					__magic_name__        =   1_3
					__magic_name__        =   1_4

@dataclass
class __UpperCamelCase     (				_a		):






					'''simple docstring'''



					__magic_name__        =   42

class __UpperCamelCase     :






					'''simple docstring'''



					__magic_name__        =   SCHEDULER_CONFIG_NAME
					__magic_name__        =   []
					__magic_name__        =   True





					@classmethod
					def    _UpperCAmelCase    (				cls				,      lowerCamelCase__ = None				,      lowerCamelCase__ = None				,      lowerCamelCase__=False				,      **lowerCamelCase__				,      ):
						UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__:	Tuple									= 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    _UpperCAmelCase    (				self				,      lowerCamelCase__				,      lowerCamelCase__ = False				,      **lowerCamelCase__						):
						self.save_config(save_directory=lowerCamelCase__				,      push_to_hub=lowerCamelCase__				,      **lowerCamelCase__						)





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





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