


'''simple docstring'''






import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 	a__       (							a__       ,       unittest.TestCase						):





							'''simple docstring'''






							lowercase__    :     Any					=   FunnelTokenizer
							lowercase__    :     Dict					=   FunnelTokenizerFast
							lowercase__    :     Dict					=   True
							lowercase__    :     int					=   True







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							str:
														super().setUp()

														lowerCAmelCase__      =			[
														    '''<unk>''',
														    '''<cls>''',
														    '''<sep>''',
														    '''want''',
														    '''##want''',
														    '''##ed''',
														    '''wa''',
														    '''un''',
														    '''runn''',
														    '''##ing''',
														    ''',''',
														    '''low''',
														    '''lowest''',
														]
														lowerCAmelCase__      =			os.path.join(self.tmpdirname      ,					VOCAB_FILES_NAMES['''vocab_file''']     )
														with open(self.vocab_file      ,					'''w'''      ,					encoding='''utf-8'''     ) as vocab_writer:
																					vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]     )     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					**lowerCamelCase_     ) ->							Any:
														return FunnelTokenizer.from_pretrained(self.tmpdirname      ,					**UpperCAmelCase__     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					**lowerCamelCase_     ) ->							List[Any]:
														return FunnelTokenizerFast.from_pretrained(self.tmpdirname      ,					**UpperCAmelCase__     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							Any:
														lowerCAmelCase__      =			'''UNwant\u00E9d,running'''
														lowerCAmelCase__      =			'''unwanted, running'''
														return input_text, output_text







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[Any]:
														lowerCAmelCase__      =			self.tokenizer_class(self.vocab_file     )

														lowerCAmelCase__      =			tokenizer.tokenize('''UNwant\u00E9d,running'''     )
														self.assertListEqual(UpperCAmelCase__      ,					['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']     )
														self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__     )      ,					[7, 4, 5, 10, 8, 9]     )







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Optional[int]:
														lowerCAmelCase__      =			self.get_tokenizers(do_lower_case=UpperCAmelCase__     )
														for tokenizer in tokenizers:
																					lowerCAmelCase__      =			tokenizer('''UNwant\u00E9d,running'''     )
																					lowerCAmelCase__      =			len(inputs['''input_ids''']     ) - 1
																					self.assertListEqual(inputs['''token_type_ids''']      ,					[2] + [0] * sentence_len     )

																					lowerCAmelCase__      =			tokenizer('''UNwant\u00E9d,running'''      ,					'''UNwant\u00E9d,running'''     )
																					self.assertListEqual(inputs['''token_type_ids''']      ,					[2] + [0] * sentence_len + [1] * sentence_len     )



'''simple docstring'''






import numpy as np
import qiskit


def       _snake_case     (  A = 8				,					A = None )		->					str:
							lowerCAmelCase__      =			np.random.default_rng(seed=A )

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

							# Quantum Circuit to simulate BB84
							lowerCAmelCase__      =			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.
							lowerCAmelCase__      =			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__      =			qiskit.execute(A				,					A				,					shots=1				,					seed_simulator=A )
							# Returns the result of measurement.
							lowerCAmelCase__      =			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.
							lowerCAmelCase__      =			''''''.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.
							lowerCAmelCase__      =			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()