


import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin




class    UpperCAmelCase					(       __snake_case      , unittest.TestCase    ):
			lowercase						= CTRLTokenizer
			lowercase						= False
			lowercase						= False




			def   lowerCamelCase_					(						self							:		str						):







						"""simple docstring"""







						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						UpperCamelCase         =					["""adapt""", """re@@""", """a@@""", """apt""", """c@@""", """t""", """<unk>"""]
						UpperCamelCase         =					dict(zip(__magic_name__       ,       range(len(__magic_name__						)						)						)						)
						UpperCamelCase         =					["""#version: 0.2""", """a p""", """ap t</w>""", """r e""", """a d""", """ad apt</w>""", """"""]
						UpperCamelCase         =					{"""unk_token""": """<unk>"""}

						UpperCamelCase         =					os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES["""vocab_file"""]						)
						UpperCamelCase         =					os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES["""merges_file"""]						)
						with open(self.vocab_file       ,       """w"""       ,       encoding="""utf-8"""						) as fp:
									fp.write(json.dumps(__magic_name__						) + """\n"""						)
						with open(self.merges_file       ,       """w"""       ,       encoding="""utf-8"""						) as fp:
									fp.write("""\n""".join(__magic_name__						)						)




			def   lowerCamelCase_					(						self							:		Optional[int]       ,       **__magic_name__							:		Dict						):







						"""simple docstring"""







						kwargs.update(self.special_tokens_map						)
						return CTRLTokenizer.from_pretrained(self.tmpdirname       ,       **__magic_name__						)




			def   lowerCamelCase_					(						self							:		Optional[int]       ,       __magic_name__							:		List[Any]						):







						"""simple docstring"""







						UpperCamelCase         =					"""adapt react readapt apt"""
						UpperCamelCase         =					"""adapt react readapt apt"""
						return input_text, output_text





			def   lowerCamelCase_					(						self							:		Union[str, Any]						):







						"""simple docstring"""







						UpperCamelCase         =					CTRLTokenizer(self.vocab_file       ,       self.merges_file       ,       **self.special_tokens_map						)
						UpperCamelCase         =					"""adapt react readapt apt"""
						UpperCamelCase         =					"""adapt re@@ a@@ c@@ t re@@ adapt apt""".split()
						UpperCamelCase         =					tokenizer.tokenize(__magic_name__						)
						self.assertListEqual(__magic_name__       ,       __magic_name__						)

						UpperCamelCase         =					tokens + [tokenizer.unk_token]

						UpperCamelCase         =					[0, 1, 2, 4, 5, 1, 0, 3, 6]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__						)       ,       __magic_name__						)








import qiskit






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int = 2	):





			"""simple docstring"""




			UpperCamelCase         =					qubits

			# Using Aer's simulator
			UpperCamelCase         =					qiskit.Aer.get_backend("""aer_simulator"""	)

			# Creating a Quantum Circuit acting on the q register
			UpperCamelCase         =					qiskit.QuantumCircuit(SCREAMING_SNAKE_CASE_       ,  SCREAMING_SNAKE_CASE_	)

			# Adding a H gate on qubit 0 (now q0 in superposition)
			circuit.h(0	)

			for i in range(1       ,  SCREAMING_SNAKE_CASE_	):
						# Adding CX (CNOT) gate
						circuit.cx(i - 1       ,  SCREAMING_SNAKE_CASE_	)

			# Mapping the quantum measurement to the classical bits
			circuit.measure(list(range(SCREAMING_SNAKE_CASE_	)	)       ,  list(range(SCREAMING_SNAKE_CASE_	)	)	)

			# Now measuring any one qubit would affect other qubits to collapse
			# their super position and have same state as the measured one.

			# Executing the circuit on the simulator
			UpperCamelCase         =					qiskit.execute(SCREAMING_SNAKE_CASE_       ,  SCREAMING_SNAKE_CASE_       ,  shots=1_000	)

			return job.result().get_counts(SCREAMING_SNAKE_CASE_	)


if __name__ == "__main__":
			print(F'''Total count for various states are: {quantum_entanglement(3)}''')




