Source code for pyqubo.integer.order_enc_integer

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from pyqubo.array import Array
from pyqubo.integer import IntegerWithPenalty
from cpp_pyqubo import Placeholder, Constraint, SubH


[docs]class OrderEncInteger(IntegerWithPenalty): """ Order encoded integer. This encoding is useful when you want to know whether the integer is more than k or not. The value that takes :math:`[0, n]` is represented by :math:`\sum_{i=1}^{n}x_{i}`. Also we have the penalty function :math:`strength \\times \\left(\sum_{i=1}^{n-1}\ \\left(x_{i+1}-x_{i}x_{i+1}\\right)\\right)` in the Hamiltonian. See the reference [TaTK09]_ for more details. Args: label (str): Label of the integer. lower (int): Lower value of the integer. upper (int): Upper value of the integer. strength (float/Placeholder): Strength of the constraint. Examples: Create an order encoded integer `a` that takes [0, 3] with the strength = 5.0. Solution of `a` represents 2 which is the optimal solution of the Hamiltonian. >>> from pyqubo import OrderEncInteger >>> a = OrderEncInteger("a", (0, 3), strength = 5.0) >>> model = ((a-2)**2).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']) 2.0 """ def __init__(self, label, value_range, strength): lower, upper = value_range assert upper > lower, "upper value should be larger than lower value" assert isinstance(lower, int) assert isinstance(upper, int) assert isinstance(strength, int) or isinstance(strength, float) or\ isinstance(strength, Placeholder) self._num_variables = (upper - lower) self.array = Array.create(label, shape=self._num_variables, vartype='BINARY') self.constraint = 0.0 for i in range(self._num_variables - 1): a = self.array[i] b = self.array[i + 1] const_label = label + "_order_" + str(i) self.constraint += Constraint(b-a*b, const_label, condition=lambda x: x==0) express = SubH(lower + sum(self.array), label=label) penalty = self.constraint * strength super().__init__( label=label, value_range=value_range, express=express, penalty=penalty)
[docs] def more_than(self, k): """Binary variable that represents whether the value is more than `k`. Note: You cannot use this method alone. You should use this variable with the entire integer. See an example below. Args: k (int): Integer value. Returns: :class:`Express` Examples: This example finds the value of integer `a` and `b` such that :math:`a=b` and :math:`a>1` and :math:`b<3`. The obtained solution is :math:`a=b=2`. >>> from pyqubo import OrderEncInteger >>> a = OrderEncInteger("a", (0, 4), strength = 5.0) >>> b = OrderEncInteger("b", (0, 4), strength = 5.0) >>> model = ((a-b)**2 + (1-a.more_than(1))**2 + (1-b.less_than(3))**2).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']) 2.0 >>> print(best_sample.subh['b']) 2.0 """ assert isinstance(k, int), "k should be integer" lower, upper = self.value_range assert k > lower, "This value is always equal to or more than {}".format(k) assert k <= upper, "This value is never more than {}".format(k) return self.array[k-lower]
[docs] def less_than(self, k): """Binary variable that represents whether the value is less than `k`. Note: You cannot use this method alone. You should use this variable with the entire integer. See an example below. Args: k (int): Integer value. Returns: :class:`Express` Examples: This example finds the value of integer `a` and `b` such that :math:`a=b` and :math:`a>1` and :math:`b<3`. The obtained solution is :math:`a=b=2`. >>> from pyqubo import OrderEncInteger >>> a = OrderEncInteger("a", (0, 4), strength = 5.0) >>> b = OrderEncInteger("b", (0, 4), strength = 5.0) >>> model = ((a-b)**2 + (1-a.more_than(1))**2 + (1-b.less_than(3))**2).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']) 2.0 >>> print(best_sample.subh['b']) 2.0 """ assert isinstance(k, int), "k should be integer" lower, upper = self.value_range assert k >= lower, "This value is always more than {}".format(k) assert k < upper, "This value is always more than {}".format(k) return 1-self.array[k-lower-1]