






"""simple docstring"""


from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
   import numpy as np
   import tensorflow as tf

   from transformers import TFXLMRobertaModel






@require_tf
@require_sentencepiece
@require_tokenizers
class 		snake_case						(						unittest.TestCase ):





    @slow
    def        lowerCamelCase__   (							self			:      Dict    ):


      '''simple docstring'''




      a  :    Optional[int]       =     TFXLMRobertaModel.from_pretrained('jplu/tf-xlm-roberta-base'    )

      a  :    int       =     {
          'input_ids': tf.convert_to_tensor([[0, 2_6_4_6, 1_0_2_6_9, 8_3, 9_9_9_4_2, 2]]       ,	dtype=tf.intaa    ),  # "My dog is cute"
          'attention_mask': tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]       ,	dtype=tf.intaa    ),
      }

      a  :    List[str]       =     model(A    )['last_hidden_state']
      a  :    Optional[int]       =     tf.TensorShape((1, 6, 7_6_8)    )
      self.assertEqual(output.shape       ,	A    )
      # compare the actual values for a slice.
      a  :    Dict       =     tf.convert_to_tensor(
          [
              [
                  [0.0_68_17_62, 0.10_89_44_51, 0.06_77_25_04],
                  [-0.06_42_36_68, 0.02_36_66_15, 0.04_32_93_44],
                  [-0.06_05_72_95, 0.09_97_41_35, -0.00_07_05_84],
              ]
          ]       ,	dtype=tf.floataa       ,	)

      self.assertTrue(np.allclose(output[:, :3, :3].numpy()       ,	expected_slice.numpy()       ,	atol=1E-4    )    )












"""simple docstring"""


import math

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




def     snake_case						(A_   :int = 3   ):







  '''simple docstring'''

  if isinstance(A_			,    A_   ):
    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(A_   ) != number_of_qubits:
    raise ValueError('number of qubits must be exact integer.'   )
  if number_of_qubits > 1_0:
    raise ValueError('number of qubits too large to simulate(>10).'   )

  a  :    str       =     QuantumRegister(A_			,    'qr'   )
  a  :    List[Any]       =     ClassicalRegister(A_			,    'cr'   )

  a  :    Optional[Any]       =     QuantumCircuit(A_			,    A_   )

  a  :    Optional[Any]       =     number_of_qubits

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

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

  # measure all the qubits
  quantum_circuit.measure(A_			,    A_   )
  # simulate with 10000 shots
  a  :    Optional[int]       =     Aer.get_backend('qasm_simulator'   )
  a  :    Any       =     execute(A_			,    A_			,    shots=1_0_0_0_0   )

  return job.result().get_counts(A_   )


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




