
import numpy as np
import qiskit



def 		lowercase_    (     A__ = 8				,	A__ = None	)							->							str:
    """simple docstring"""

    snake_case				  =      np.random.default_rng(seed=A__	)

    # Roughly 25% of the qubits will contribute to the key.
    # So we take more than we need.
    snake_case				  =      6 * key_len
    # Measurement basis for Alice's qubits.
    snake_case				  =      rng.integers(2				,	size=A__	)
    # The set of states Alice will prepare.
    snake_case				  =      rng.integers(2				,	size=A__	)
    # Measurement basis for Bob's qubits.
    snake_case				  =      rng.integers(2				,	size=A__	)

    # Quantum Circuit to simulate BB84
    snake_case				  =      qiskit.QuantumCircuit(A__				,	name="BB84"	)

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

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

    bbaa_circ.barrier()
    bbaa_circ.measure_all()

    # Simulate the quantum circuit.
    snake_case				  =      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.
    snake_case				  =      qiskit.execute(A__				,	A__				,	shots=1				,	seed_simulator=A__	)
    # Returns the result of measurement.
    snake_case				  =      job.result().get_counts(A__	).most_frequent()

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

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


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

   testmod()



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						      =				logging.get_logger(__name__)

_A						      =				{
    "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   lowerCamelCase	(						A_						):
     UpperCAmelCase__       :							Any     =	"poolformer"





     def __init__(self   :					Optional[int]       ,					_A   :					Optional[Any]=3       ,					_A   :					Optional[int]=1_6       ,					_A   :					Dict=1_6       ,					_A   :					Tuple=3       ,					_A   :					Tuple=4.0       ,					_A   :					int=[2, 2, 6, 2]       ,					_A   :					Dict=[6_4, 1_2_8, 3_2_0, 5_1_2]       ,					_A   :					int=[7, 3, 3, 3]       ,					_A   :					List[str]=[4, 2, 2, 2]       ,					_A   :					str=[2, 1, 1, 1]       ,					_A   :					List[Any]=4       ,					_A   :					Any=0.0       ,					_A   :					Optional[Any]="gelu"       ,					_A   :					Optional[Any]=True       ,					_A   :					List[str]=1E-5       ,					_A   :					List[str]=0.02       ,					**_A   :					str       ,					)		->		Tuple:
         snake_case				  =      num_channels
         snake_case				  =      patch_size
         snake_case				  =      stride
         snake_case				  =      padding
         snake_case				  =      pool_size
         snake_case				  =      hidden_sizes
         snake_case				  =      mlp_ratio
         snake_case				  =      depths
         snake_case				  =      patch_sizes
         snake_case				  =      strides
         snake_case				  =      num_encoder_blocks
         snake_case				  =      drop_path_rate
         snake_case				  =      hidden_act
         snake_case				  =      use_layer_scale
         snake_case				  =      layer_scale_init_value
         snake_case				  =      initializer_range
         super().__init__(**_A     )







class   lowerCamelCase	(						A_						):
     UpperCAmelCase__       :							Tuple     =	version.parse("1.11"						)





     @property
     def 	UpperCAmelCase(self   :					int     )		->		Mapping[str, Mapping[int, str]]:
         return OrderedDict(
             [
                 ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
             ]     )





     @property
     def 	UpperCAmelCase(self   :					int     )		->		float:
         return 2E-3

