Source code for pyqubo.integer.unary_encoded_integer

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from cpp_pyqubo import SubH
from pyqubo.array import Array
from pyqubo.integer import Integer


[docs]class UnaryEncInteger(Integer): """Unary encoded integer. The value that takes :math:`[0, n]` is represented by :math:`\sum_{i=1}^{n}x_{i}` without any constraint. Args: label (str): Label of the integer. lower (int): Lower value of the integer. upper (int): Upper value of the integer. Examples: This example finds the value `a`, `b` such that :math:`a+b=3` and :math:`2a-b=0`. >>> from pyqubo import UnaryEncInteger >>> import dimod >>> a = UnaryEncInteger("a", (0, 3)) >>> b = UnaryEncInteger("b", (0, 3)) >>> M=2.0 >>> H = (2*a-b)**2 + M*(a+b-3)**2 >>> model = H.compile() >>> bqm = model.to_bqm() >>> import dimod >>> sampleset = dimod.ExactSolver().sample(bqm) >>> decoded_samples = model.decode_sampleset(sampleset) >>> best_sample = min(decoded_samples, key=lambda s: s.energy) >>> print(best_sample.subh['a']) 1.0 >>> print(best_sample.subh['b']) 2.0 """ def __init__(self, label, value_range): lower, upper = value_range assert upper > lower, "upper value should be larger than lower value" assert isinstance(lower, int) assert isinstance(upper, int) self.lower = lower self.upper = upper self._num_variables = (upper - lower) self.array = Array.create(label, shape=self._num_variables, vartype='BINARY') express = SubH(lower + sum(self.array), label) super().__init__( label=label, value_range=value_range, express=express )