





from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

__UpperCAmelCase	:       Union[str, Any]    	=							TypeVar("KEY")
__UpperCAmelCase	:       List[Any]    	=							TypeVar("VAL")







@dataclass(frozen=__lowerCamelCase       ,      slots=__lowerCamelCase      )
class    __snake_case	(							Generic[KEY, VAL]      ):





       '''simple docstring'''







       lowerCAmelCase__						=					42
       lowerCAmelCase__						=					42







class    __snake_case	(							_Item      ):





       '''simple docstring'''







       def __init__(  self			:   Any		):
         super().__init__(A							,    A		)






       def __bool__(  self			:   int		):
         return False






__UpperCAmelCase	:       List[str]    	=							_DeletedItem()







class    __snake_case	(							MutableMapping[KEY, VAL]      ):





       '''simple docstring'''







       def __init__(  self			:   List[str]							,    A			:   int = 8							,    A			:   float = 0.75		):
         __snake_case:						Tuple			  =						initial_block_size
         __snake_case:						list[_Item | None]			  =						[None] * initial_block_size
         assert 0.0 < capacity_factor < 1.0
         __snake_case:						Tuple			  =						capacity_factor
         __snake_case:						List[str]			  =						0




       def 							UpperCAmelCase__			(  self			:   Optional[int]							,    A			:   KEY		):
         return hash(A		) % len(self._buckets		)




       def 							UpperCAmelCase__			(  self			:   Any							,    A			:   int		):
         return (ind + 1) % len(self._buckets		)




       def 							UpperCAmelCase__			(  self			:   Optional[Any]							,    A			:   int							,    A			:   KEY							,    A			:   VAL		):
         __snake_case:						Union[str, Any]			  =						self._buckets[ind]
         if not stored:
           __snake_case:						Optional[Any]			  =						_Item(A							,    A		)
           self._len += 1
           return True
         elif stored.key == key:
           __snake_case:						List[Any]			  =						_Item(A							,    A		)
           return True
         else:
           return False




       def 							UpperCAmelCase__			(  self			:   str		):
         __snake_case:						Any			  =						len(self._buckets		) * self._capacity_factor
         return len(self		) >= int(A		)




       def 							UpperCAmelCase__			(  self			:   str		):
         if len(self._buckets		) <= self._initial_block_size:
           return False
         __snake_case:						int			  =						len(self._buckets		) * self._capacity_factor / 2
         return len(self		) < limit




       def 							UpperCAmelCase__			(  self			:   Optional[Any]							,    A			:   int		):
         __snake_case:						Tuple			  =						self._buckets
         __snake_case:						Any			  =						[None] * new_size
         __snake_case:						Any			  =						0
         for item in old_buckets:
           if item:
             self._add_item(item.key							,    item.val		)




       def 							UpperCAmelCase__			(  self			:   Optional[int]		):
         self._resize(len(self._buckets		) * 2		)




       def 							UpperCAmelCase__			(  self			:   int		):
         self._resize(len(self._buckets		) // 2		)




       def 							UpperCAmelCase__			(  self			:   int							,    A			:   KEY		):
         __snake_case:						List[Any]			  =						self._get_bucket_index(A		)
         for _ in range(len(self._buckets		)		):
           yield ind
           __snake_case:						List[Any]			  =						self._get_next_ind(A		)




       def 							UpperCAmelCase__			(  self			:   Optional[int]							,    A			:   KEY							,    A			:   VAL		):
         for ind in self._iterate_buckets(A		):
           if self._try_set(A							,    A							,    A		):
             break




       def __setitem__(  self			:   Union[str, Any]							,    A			:   KEY							,    A			:   VAL		):
         if self._is_full():
           self._size_up()

         self._add_item(A							,    A		)




       def __delitem__(  self			:   Optional[int]							,    A			:   KEY		):
         for ind in self._iterate_buckets(A		):
           __snake_case:						Union[str, Any]			  =						self._buckets[ind]
           if item is None:
             raise KeyError(A		)
           if item is _deleted:
             continue
           if item.key == key:
             __snake_case:						int			  =						_deleted
             self._len -= 1
             break
         if self._is_sparse():
           self._size_down()




       def __getitem__(  self			:   Optional[int]							,    A			:   KEY		):
         for ind in self._iterate_buckets(A		):
           __snake_case:						int			  =						self._buckets[ind]
           if item is None:
             break
           if item is _deleted:
             continue
           if item.key == key:
             return item.val
         raise KeyError(A		)




       def __len__(  self			:   str		):
         return self._len




       def __iter__(  self			:   Tuple		):
         yield from (item.key for item in self._buckets if item)






       def __repr__(  self			:   Tuple		):
         __snake_case:						Any			  =						""" ,""".join(
             f'''{item.key}: {item.val}''' for item in self._buckets if item		)
         return f'''HashMap({val_string})'''








import math

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







def       A__							(   SCREAMING_SNAKE_CASE__ = 3)       ->   qiskit.result.counts.Counts:
  if isinstance(SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__):
    raise TypeError("""number of qubits must be a integer.""")
  if number_of_qubits <= 0:
    raise ValueError("""number of qubits must be > 0.""")
  if math.floor(SCREAMING_SNAKE_CASE__) != number_of_qubits:
    raise ValueError("""number of qubits must be exact integer.""")
  if number_of_qubits > 10:
    raise ValueError("""number of qubits too large to simulate(>10).""")

  __snake_case:						int			  =						QuantumRegister(SCREAMING_SNAKE_CASE__ , """qr""")
  __snake_case:						List[str]			  =						ClassicalRegister(SCREAMING_SNAKE_CASE__ , """cr""")

  __snake_case:						Optional[Any]			  =						QuantumCircuit(SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__)

  __snake_case:						Tuple			  =						number_of_qubits

  for i in range(SCREAMING_SNAKE_CASE__):
    quantum_circuit.h(number_of_qubits - i - 1)
    counter -= 1
    for j in range(SCREAMING_SNAKE_CASE__):
      quantum_circuit.cp(np.pi / 2 ** (counter - j) , SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__)

  for k in range(number_of_qubits // 2):
    quantum_circuit.swap(SCREAMING_SNAKE_CASE__ , number_of_qubits - k - 1)

  # measure all the qubits
  quantum_circuit.measure(SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__)
  # simulate with 10000 shots
  __snake_case:						Union[str, Any]			  =						Aer.get_backend("""qasm_simulator""")
  __snake_case:						Optional[Any]			  =						execute(SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__ , shots=1_0000)

  return job.result().get_counts(SCREAMING_SNAKE_CASE__)


if __name__ == "__main__":
      print(
          f'Total count for quantum fourier transform state is: \
    {quantum_fourier_transform(3)}'
      )






