
'''simple docstring'''

from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
   from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore


class 		_a     (							SCREAMING_SNAKE_CASE  ):







   """simple docstring"""




   A		= c_float






   @property
   def 					__a			(       self      ):
    return sizeof(self.value      )



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	int   ,     snake_case_				:	int   ,     snake_case_				:	int = 0							)       ->	int:




 if dimension <= 0:
  SCREAMING_SNAKE_CASE  :  Dict								=		fixed_dimension

 dimension -= num_token_to_add
 return dimension



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	int   ,     snake_case_				:	ParameterFormat							)       ->	int:
 return num_parameters * dtype.size





def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str							)       ->	Optional[Union["AutoTokenizer", "AutoFeatureExtractor", "AutoProcessor"]]:
 from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

 try:
  return AutoProcessor.from_pretrained(_UpperCAmelCase							)
 except (ValueError, OSError, KeyError):
  SCREAMING_SNAKE_CASE  :  Any								=		None, None
  try:
   SCREAMING_SNAKE_CASE  :  Union[str, Any]								=		AutoTokenizer.from_pretrained(_UpperCAmelCase							)
  except (OSError, KeyError):
   pass
  try:
   SCREAMING_SNAKE_CASE  :  str								=		AutoFeatureExtractor.from_pretrained(_UpperCAmelCase							)
  except (OSError, KeyError):
   pass

  if tokenizer is not None and feature_extractor is not None:
   raise ValueError(
       f"""Couldn't auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor."""							)
  elif tokenizer is None and feature_extractor is None:
   return None
  elif tokenizer is not None:
   return tokenizer
  else:
   return feature_extractor









'''simple docstring'''


import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute




def       A							(      _UpperCAmelCase   :				float = np.pi / 2						,_UpperCAmelCase   :				float = np.pi / 2						,_UpperCAmelCase   :				float = np.pi / 2					)  ->				qiskit.result.counts.Counts:


  '''simple docstring'''




  __lowerCAmelCase		:    Optional[int]			     =  QuantumRegister(3						,'qr'					)  # Define the number of quantum bits
  __lowerCAmelCase		:    Optional[int]			     =  ClassicalRegister(1						,'cr'					)  # Define the number of classical bits

  __lowerCAmelCase		:    List[Any]			     =  QuantumCircuit(_UpperCAmelCase						,_UpperCAmelCase					)  # Define the quantum circuit.

  # Build the circuit
  quantum_circuit.u(_UpperCAmelCase						,_UpperCAmelCase						,_UpperCAmelCase						,0					)  # Quantum State to teleport
  quantum_circuit.h(1					)  # add hadamard gate
  quantum_circuit.cx(
      1						,2					)  # add control gate with qubit 1 as control and 2 as target.
  quantum_circuit.cx(0						,1					)
  quantum_circuit.h(0					)
  quantum_circuit.cz(0						,2					)  # add control z gate.
  quantum_circuit.cx(1						,2					)

  quantum_circuit.measure([2]						,[0]					)  # measure the qubit.

  # Simulate the circuit using qasm simulator
  __lowerCAmelCase		:    List[str]			     =  Aer.get_backend('aer_simulator'					)
  __lowerCAmelCase		:    Optional[Any]			     =  execute(_UpperCAmelCase						,_UpperCAmelCase						,shots=1_0_0_0					)

  return job.result().get_counts(_UpperCAmelCase					)


if __name__ == "__main__":
    print(
        "Total count for teleported state is: "
        F'''{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}'''
    )





