"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a      :		Optional[int]           =   logging.get_logger(__name__)

_a      :		Tuple           =   {
    'sail/poolformer_s12': 'https://huggingface.co/sail/poolformer_s12/resolve/main/config.json',
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}
class 						__A							( SCREAMING_SNAKE_CASE_		):
     _UpperCamelCase							:			Union[str, Any]							=		"poolformer"






     def __init__(		self				,     a__=3				,     a__=16				,     a__=16				,     a__=3				,     a__=4.0				,     a__=[2, 2, 6, 2]				,     a__=[64, 128, 320, 512]				,     a__=[7, 3, 3, 3]				,     a__=[4, 2, 2, 2]				,     a__=[2, 1, 1, 1]				,     a__=4				,     a__=0.0				,     a__="gelu"				,     a__=True				,     a__=1e-5				,     a__=0.0_2				,     **a__				,     ):
       _lowerCAmelCase						:       List[Any]  			=     num_channels
       _lowerCAmelCase						:       str  			=     patch_size
       _lowerCAmelCase						:       Dict  			=     stride
       _lowerCAmelCase						:       Optional[int]  			=     padding
       _lowerCAmelCase						:       Optional[int]  			=     pool_size
       _lowerCAmelCase						:       Dict  			=     hidden_sizes
       _lowerCAmelCase						:       Optional[int]  			=     mlp_ratio
       _lowerCAmelCase						:       Optional[int]  			=     depths
       _lowerCAmelCase						:       Dict  			=     patch_sizes
       _lowerCAmelCase						:       Tuple  			=     strides
       _lowerCAmelCase						:       Any  			=     num_encoder_blocks
       _lowerCAmelCase						:       Any  			=     drop_path_rate
       _lowerCAmelCase						:       Tuple  			=     hidden_act
       _lowerCAmelCase						:       Optional[Any]  			=     use_layer_scale
       _lowerCAmelCase						:       List[str]  			=     layer_scale_init_value
       _lowerCAmelCase						:       List[Any]  			=     initializer_range
       super().__init__(**a__  )







class 						__A							( SCREAMING_SNAKE_CASE_		):
     _UpperCamelCase							:			Optional[Any]							=		version.parse("1.11"		)






     @property
     def     __A  (		self  ):
       return OrderedDict(
           [
               ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
           ]  )






     @property
     def     __A  (		self  ):
       return 2e-3





"""simple docstring"""




import numpy as np
import qiskit





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       int = 8			,_lowerCamelCase						:       int | None = None	)       ->      str:
  _lowerCAmelCase						:       int  			=     np.random.default_rng(seed=_lowerCamelCase	)

  # Roughly 25% of the qubits will contribute to the key.
  # So we take more than we need.
  _lowerCAmelCase						:       Tuple  			=     6 * key_len
  # Measurement basis for Alice's qubits.
  _lowerCAmelCase						:       Dict  			=     rng.integers(2			,size=_lowerCamelCase	)
  # The set of states Alice will prepare.
  _lowerCAmelCase						:       Tuple  			=     rng.integers(2			,size=_lowerCamelCase	)
  # Measurement basis for Bob's qubits.
  _lowerCAmelCase						:       Union[str, Any]  			=     rng.integers(2			,size=_lowerCamelCase	)

  # Quantum Circuit to simulate BB84
  _lowerCAmelCase						:       Dict  			=     qiskit.QuantumCircuit(_lowerCamelCase			,name="""BB84"""	)

  # Alice prepares her qubits according to rules above.
  for index, _ in enumerate(_lowerCamelCase	):
    if alice_state[index] == 1:
      bbaa_circ.x(_lowerCamelCase	)
    if alice_basis[index] == 1:
      bbaa_circ.h(_lowerCamelCase	)
  bbaa_circ.barrier()

  # Bob measures the received qubits according to rules above.
  for index, _ in enumerate(_lowerCamelCase	):
    if bob_basis[index] == 1:
      bbaa_circ.h(_lowerCamelCase	)

  bbaa_circ.barrier()
  bbaa_circ.measure_all()

  # Simulate the quantum circuit.
  _lowerCAmelCase						:       int  			=     qiskit.Aer.get_backend("""aer_simulator"""	)
  # We only need to run one shot because the key is unique.
  # Multiple shots will produce the same key.
  _lowerCAmelCase						:       List[str]  			=     qiskit.execute(_lowerCamelCase			,_lowerCamelCase			,shots=1			,seed_simulator=_lowerCamelCase	)
  # Returns the result of measurement.
  _lowerCAmelCase						:       List[Any]  			=     job.result().get_counts(_lowerCamelCase	).most_frequent()

  # Extracting the generated key from the simulation results.
  # Only keep measurement results where Alice and Bob chose the same basis.
  _lowerCAmelCase						:       str  			=     """""".join(
      [
          result_bit
          for alice_basis_bit, bob_basis_bit, result_bit in zip(
              _lowerCamelCase			,_lowerCamelCase			,_lowerCamelCase	)
          if alice_basis_bit == bob_basis_bit
      ]	)

  # Get final key. Pad with 0 if too short, otherwise truncate.
  _lowerCAmelCase						:       List[Any]  			=     gen_key[:key_len] if len(_lowerCamelCase	) >= key_len else gen_key.ljust(_lowerCamelCase			,"""0"""	)
  return key


if __name__ == "__main__":
     print(F"""The generated key is : {bbaa(8, seed=0)}""")
     from doctest import testmod

     testmod()




