
"""simple docstring"""



import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase__          = '▁'

UpperCAmelCase__          = get_tests_dir('fixtures/test_sentencepiece.model')

@require_sentencepiece
@require_tokenizers
class       lowerCAmelCase__				(						A_ ,	unittest.TestCase	):
     __a						=					BigBirdTokenizer
     __a						=					BigBirdTokenizerFast
     __a						=					True
     __a						=					True







     def      lowercase	(							self			:			int			):
       super().setUp()

       _snake_case					     =       self.tokenizer_class(_lowerCamelCase    ,      keep_accents=_lowerCamelCase			)
       tokenizer.save_pretrained(self.tmpdirname			)







     def      lowercase	(							self			:			Any			):
       _snake_case					     =       '''<s>'''
       _snake_case					     =       1

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowerCamelCase			)    ,      _lowerCamelCase			)
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowerCamelCase			)    ,      _lowerCamelCase			)







     def      lowercase	(							self			:			List[Any]			):
       _snake_case					     =       list(self.get_tokenizer().get_vocab().keys()			)

       self.assertEqual(vocab_keys[0]    ,      '''<unk>'''			)
       self.assertEqual(vocab_keys[1]    ,      '''<s>'''			)
       self.assertEqual(vocab_keys[-1]    ,      '''[MASK]'''			)
       self.assertEqual(len(_lowerCamelCase			)    ,      1004			)







     def      lowercase	(							self			:			Optional[int]			):
       self.assertEqual(self.get_tokenizer().vocab_size    ,      1000			)







     def      lowercase	(							self			:			Dict			):
       if not self.test_rust_tokenizer:
         return

       _snake_case					     =       self.get_tokenizer()
       _snake_case					     =       self.get_rust_tokenizer()

       _snake_case					     =       '''I was born in 92000, and this is falsé.'''

       _snake_case					     =       tokenizer.tokenize(_lowerCamelCase			)
       _snake_case					     =       rust_tokenizer.tokenize(_lowerCamelCase			)
       self.assertListEqual(_lowerCamelCase    ,      _lowerCamelCase			)

       _snake_case					     =       tokenizer.encode(_lowerCamelCase    ,      add_special_tokens=_lowerCamelCase			)
       _snake_case					     =       rust_tokenizer.encode(_lowerCamelCase    ,      add_special_tokens=_lowerCamelCase			)
       self.assertListEqual(_lowerCamelCase    ,      _lowerCamelCase			)

       _snake_case					     =       self.get_rust_tokenizer()
       _snake_case					     =       tokenizer.encode(_lowerCamelCase			)
       _snake_case					     =       rust_tokenizer.encode(_lowerCamelCase			)
       self.assertListEqual(_lowerCamelCase    ,      _lowerCamelCase			)







     def      lowercase	(							self			:			Tuple			):
       _snake_case					     =       BigBirdTokenizer(_lowerCamelCase    ,      keep_accents=_lowerCamelCase			)

       _snake_case					     =       tokenizer.tokenize('''This is a test'''			)
       self.assertListEqual(_lowerCamelCase    ,      ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']			)

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(_lowerCamelCase			)    ,      [285, 46, 10, 170, 382]    ,      )

       _snake_case					     =       tokenizer.tokenize('''I was born in 92000, and this is falsé.'''			)
       self.assertListEqual(
           _lowerCamelCase    ,      [
               SPIECE_UNDERLINE + '''I''',
               SPIECE_UNDERLINE + '''was''',
               SPIECE_UNDERLINE + '''b''',
               '''or''',
               '''n''',
               SPIECE_UNDERLINE + '''in''',
               SPIECE_UNDERLINE + '''''',
               '''9''',
               '''2''',
               '''0''',
               '''0''',
               '''0''',
               ''',''',
               SPIECE_UNDERLINE + '''and''',
               SPIECE_UNDERLINE + '''this''',
               SPIECE_UNDERLINE + '''is''',
               SPIECE_UNDERLINE + '''f''',
               '''al''',
               '''s''',
               '''é''',
               '''.''',
           ]    ,      )
       _snake_case					     =       tokenizer.convert_tokens_to_ids(_lowerCamelCase			)
       self.assertListEqual(
           _lowerCamelCase    ,      [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]    ,      )

       _snake_case					     =       tokenizer.convert_ids_to_tokens(_lowerCamelCase			)
       self.assertListEqual(
           _lowerCamelCase    ,      [
               SPIECE_UNDERLINE + '''I''',
               SPIECE_UNDERLINE + '''was''',
               SPIECE_UNDERLINE + '''b''',
               '''or''',
               '''n''',
               SPIECE_UNDERLINE + '''in''',
               SPIECE_UNDERLINE + '''''',
               '''<unk>''',
               '''2''',
               '''0''',
               '''0''',
               '''0''',
               ''',''',
               SPIECE_UNDERLINE + '''and''',
               SPIECE_UNDERLINE + '''this''',
               SPIECE_UNDERLINE + '''is''',
               SPIECE_UNDERLINE + '''f''',
               '''al''',
               '''s''',
               '''<unk>''',
               '''.''',
           ]    ,      )







     @cached_property
     def      lowercase	(							self			:			Optional[Any]			):
       return BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''			)







     @slow
     def      lowercase	(							self			:			List[Any]			):
       _snake_case					     =       '''Hello World!'''
       _snake_case					     =       [65, 18536, 2260, 101, 66]

       self.assertListEqual(_lowerCamelCase    ,      self.big_tokenizer.encode(_lowerCamelCase			)			)







     @slow
     def      lowercase	(							self			:			int			):
       _snake_case					     =       (
           '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
           ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
       )
       # fmt: off
       _snake_case					     =       [65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 34324, 497, 391, 408, 11342, 1244, 385, 100, 938, 985, 456, 574, 362, 12597, 3200, 3129, 1172, 66]  # noqa: E231
       # fmt: on
       self.assertListEqual(_lowerCamelCase    ,      self.big_tokenizer.encode(_lowerCamelCase			)			)







     @require_torch
     @slow
     def      lowercase	(							self			:			str			):
       import torch

       from transformers import BigBirdConfig, BigBirdModel

       # Build sequence
       _snake_case					     =       list(self.big_tokenizer.get_vocab().keys()			)[:10]
       _snake_case					     =       ''' '''.join(_lowerCamelCase			)
       _snake_case					     =       self.big_tokenizer.encode_plus(_lowerCamelCase    ,      return_tensors='''pt'''    ,      return_token_type_ids=_lowerCamelCase			)
       _snake_case					     =       self.big_tokenizer.batch_encode_plus(
           [sequence + ''' ''' + sequence]    ,      return_tensors='''pt'''    ,      return_token_type_ids=_lowerCamelCase			)

       _snake_case					     =       BigBirdConfig(attention_type='''original_full'''			)
       _snake_case					     =       BigBirdModel(_lowerCamelCase			)

       assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

       with torch.no_grad():
         model(**_lowerCamelCase			)
         model(**_lowerCamelCase			)







     @slow
     def      lowercase	(							self			:			Optional[Any]			):
       _snake_case					     =       BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''			)
       _snake_case					     =       tokenizer.decode(tokenizer('''Paris is the [MASK].'''			).input_ids			)

       self.assertTrue(decoded_text == '''[CLS] Paris is the[MASK].[SEP]'''			)







     @slow
     def      lowercase	(							self			:			Tuple			):
       # fmt: off
       _snake_case					     =       {'''input_ids''': [[65, 39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114, 66], [65, 448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=_lowerCamelCase    ,      model_name='''google/bigbird-roberta-base'''    ,      revision='''215c99f1600e06f83acce68422f2035b2b5c3510'''    ,      )





"""simple docstring"""



import math

import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute
def 					_UpperCAmelCase      ( __lowerCamelCase   :       int = 3		)     ->					qiskit.result.counts.Counts:
  if isinstance(__lowerCamelCase ,					__lowerCamelCase		):
    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(__lowerCamelCase		) != 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					     =       QuantumRegister(__lowerCamelCase ,					'''qr'''		)
  _snake_case					     =       ClassicalRegister(__lowerCamelCase ,					'''cr'''		)

  _snake_case					     =       QuantumCircuit(__lowerCamelCase ,					__lowerCamelCase		)

  _snake_case					     =       number_of_qubits

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

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

  # measure all the qubits
  quantum_circuit.measure(__lowerCamelCase ,					__lowerCamelCase		)
  # simulate with 10000 shots
  _snake_case					     =       Aer.get_backend('''qasm_simulator'''		)
  _snake_case					     =       execute(__lowerCamelCase ,					__lowerCamelCase ,					shots=1_00_00		)

  return job.result().get_counts(__lowerCamelCase		)


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



