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Kenil Vasani
Kenil Vasani

Kenil Vasani

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Asked: 2020-12-14T21:03:12+00:00 In:

TypeError: ‘<' not supported between instances Python

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I am solving a problem with genetic algorithm in python 3. I have not completed the full code yet. I test a part of the code whenever I complete it.

At present, I am stuck with an error saying:

TypeError: ‘<‘ not supported between instances of ‘part’ and ‘part’

The interesting thing is, this error does not always show. Sometimes the code runs smoothly and show the desired output, but sometimes it shows this error.

What is the reason for this?

I am attaching the code and the error message.
I am using PyCharm.

import random


class part():
    def __init__(self, number):
        self.number = number
        self.machine_sequence = []

    def add_volume(self, volume):
        self.volume = volume

    def add_machine(self, machine_numbers):
        self.machine_sequence.append(machine_numbers)


def create_initial_population():
    part_family = []

    for i in range(8):
        part_family.append(part(i))

    part_population = []

    for i in range(6):
        part_population.append(random.sample(part_family, len(part_family)))

    for i in part_population:
        for j in i:
            j.add_volume(random.randrange(100, 200))

    return part_population


def fitness(part_family):
    sum_of_boundary = []
    for i in range(0, 8, 2):
        sum_of_boundary.append(sum(j.volume for j in part_family[i:i + 2]))

    fitness_value = 0

    for i in range(len(sum_of_boundary) - 1):
        for j in range(i + 1, len(sum_of_boundary)):
            fitness_value = fitness_value + abs(sum_of_boundary[i] - sum_of_boundary[j])

    return fitness_value


def sort_population_by_fitness(population):
    pre_sorted = [[fitness(x),x] for x in population]
    sort = [x[1] for x in sorted(pre_sorted)]
    for i in sort:
        for j in i:
            print(j.volume, end = ' ')
        print()

    return sort


def evolve(population):
    population = sort_population_by_fitness(population)
    return population


population = create_initial_population()
population = evolve(population)

the error message:
enter image description here

The Output is (which is randomized every time):
enter image description here

classpythonpython-3.xtypeerror
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    1 Answer

    1. Kenil Vasani

      Kenil Vasani

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      Best Answer

      Given that pre_sorted is a list of lists with items [fitness, part], this croaks whenever comparing two sublists with the same fitness.

      Python lists sort lexicographically and are compared element-wise left to right until a mismatching element is found. In your case, the second element (part) is only accessed if the fitness of two parts is the same.

      • [0, part0] < [1, part1] => does not compare part0 and part1 since the fitness is already different.
      • [0, part0] < [0, part1] => does compare part0 and part1 since the fitness is the same.

      Suggestion 1

      Sort only by fitness: sorted(pre_sorted, key=operator.itemgetter(0))

      Suggestion 2

      Read the documentation for functools.total_ordering give part a total order:

      @total_ordering
class part():
    [...]

    def __lt__(self, other):
        return self.number < other.number

      And yeah, sorting lists of lists seems wrong. The inner elements might better be tuples, so you cannot accidentally modify the contents.

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