Rover. Finding the shortest pass by Dijkstra’s shortest path algorithm

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rover

Rover. Finding the shortest path by Dijkstra’s shortest path algorithm

Задача Вы — инженер, проектирующий роверы-беспилотники. Вам надо спроектировать путь ровера по заранее известной местности с максимальной экономией заряда.

Местность Вам пришли данные о местности в закодированном виде: фотография, сконвертированная в матрицу с числами. Одна матрица — это прямоугольный снимок размером х на y метров. Вот пример одной такой сконвертированной фотографии, на ней снимок в 100 на 100 метров: Фото 1: 0 2 3 4 1 2 3 4 4 1 3 4 5 6 2 4 5 6 7 1 6 7 8 7 1 Числа показывают высоту над уровнем моря. 0 — это высота ровно на уровне моря, а, например, 4 — это 4 единицы над уровнем моря. На Фото 1 закодирован холм, пологий слева и резко обрывающийся справа. Небольшой холмик выглядел бы вот так Фото 2: 0 1 1 1 0 1 1 3 1 1 0 1 1 1 0 0 0 0 0 0 А вот так: ложбина между двумя холмами Фото 3: 1 1 2 3 4 1 0 1 2 3 2 1 1 1 2 3 3 1 0 1 4 3 1 1 0 На этих данных - скала или овраг, так как виден очень резкий перепад высот в середине снимка Фото 4: 1 1 6 7 7 1 1 6 7 8 1 6 7 8 9 А на этом - маленькая ямка Фото 5: 3 4 4 4 4 3 3 2 1 1 1 4 4 2 1 1 3 4 4 4 2 2 3 4 Данные придут вам в виде матрицы с неотрицательными числами. Размер матрицы NxM.

Ровер Ровер всегда движется из верхней левой точки [0][0] в правую нижнюю точку [N - 1][M - 1], где N и M - это длина и ширина матрицы. Это надо для того, чтобы разрезать фотографию на одинаковые куски, обработать их по-отдельности, а потом склеить весь путь. У вашего ровера есть несколько ограничений:

Движение Из любой точки ровер может двигаться только в четыре стороны: на север, юг, запад, восток. Ровер не может ехать по-диагонали — эта функция еще не реализована. Ровер не может вернуться в ту точку, в которой уже был. Заряд Ровер ездит на заряде. Вы знаете, что для ровера очень затратно подниматься и опускаться. Он тратит единицу заряда на само движение, и дополнительные единицы на подъем и спуск. Ровер бы вообще спокойно жил, если бы ездил по асфальту в Беларуси, тогда бы он тратил себе линейно заряд и в ус не дул, но жизнь его сложилась иначе. Расход заряда Заряд расходуется по правилу: На 1 шаг ровер всегда тратит 1 единицу заряда. На подъем или спуск ровер тратит заряд, пропорциональный сложности подъема или спуска. Сложность подъема или спуска - это разница между высотами.

Например, в такой местности 1 2 1 5 на путь из [0][0] в [0][1] ровер потратит 2 единицы заряд: 1 единица заряда на само движение, и еще 1 единицу заряда на подъем в [0][1]. А из [0][1] в [1][1] ровер потратит 4 единицы заряда: 1 единица на само движение, и 3 единицы (5 - 2) на подъем Вам надо рассчитать путь ровера из верхей левой [0][0] точки в правую нижнюю [N - 1][M - 1] точку с минимальной тратой заряда. Вы не заранее знаете размер фотографии, которую будете обрабатывать, N и M - произвольные неотрицательные числа.

План Сделайте план пути и планируемый расход и выведите. Для фотографии 0 4 1 3 план будет такой: [0][0]->[1][0]->[1][1] steps: 2 fuel: 5 Ровер едет из 0 в 1 в 3, сделает два шага, потратит 5 заряда. Если бы он поехал сначала в 4, потом в 3, он бы сделал то же количество шагов, но потратил бы 7 заряда. Оптимальный путь: 2 шага и 5 заряда. Если на карте есть несколько вариантов пути, выберите любой из них.

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Releases(V2.0)
  • V2.0(Nov 8, 2021)

    Rover v02 Update your first version of Rover code. Your task is to calculate the path with minimized fuel cost. The first version is working, but real-life tests showed that it didn't match the reality.

    What are the changes?

    Below the sea level The previous version processes only the terrain that is above sea level. But in reality, the landscape can be both above and below sea level. The new version of the code must handle different terrains. The numbers still show the height. Zero 0 is a sea level. Positive numbers show the elevation above sea level. Negative numbers mean that the terrain is below sea level. For example, here is already parsed photo of a small lake: {{"0","-1","-1","-1","0"}, {"-1","-1","-3","-1","-1"}, {"0","-1","-1","-1","0"}, {"0","0","0","0","0"}}

    Impossible Elevation Nature is unpredictable, and sometimes there are places that the Rover cannot reach. Such terrain is marked as X on the photo. Rover cannot go into that place. For example, here is a unparsed photo with unreachable terrain: 1 1 X X X 1 1 X X 8 1 1 0 0 3

    Updated movement Now your Rover can move diagonally! It still cannot get back to the same place, though. Rover still moves from the [0][0] to [N - 1][M - 1]. N and M are arbitrary positive numbers.

    Updated fuel mileage

    Fuel Mileage with Negative Numbers The fuel cost works the same with negative numbers: moving from 0 to 2 will cost the same two fuel units as moving from 0 to -2. Moving from 2 to -2 will cost the same as moving from 4 to 0.

    Fuel Mileage with Diagonal Movement Diagonal movement requires different fuel mileage. Every second diagonal move consumes two fuel units. The first diagonal move is one fuel, the second diagonal move is two fuel, the third is one fuel, the fourth is two, etc. For example, here
    1 2 1 1 2 1 1 7 0 a path from [0][0] to [1][1] costs 1 fuel for diagonal move plus 1 fuel for elevation, and a path from [1][1] to [2][2] costs 2 fuel for the second diagonal move and 2 fuel for descent.

    Error handling

    Data Data is not ideal. Sometimes the parser that converts from the photo to numbers shows bizarre results. Please make sure that the matrix contains only numerals and the 'X' sign.

    Exceptions Something may go wrong. There may be no matrix at all, or the matrix may contain weird data, or the path may start with X at [0][0]. There are tons of ways that the program can go wrong. Implement exception handling. The exception rules: if the Rover cannot start its movement, throw the CannotStartMovement exception. End the program and write the reason to path-plan.txt So, if the Rover cannot move, throw an exception and end the program. Write to the path-plan.txt something like "Cannot start a movement because ...... ." Come up with your description of a problem. Write in clear and simple English.

    Source code(tar.gz)
    Source code(zip)
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