"Animals and plants can reproduce themselves, but it was only recently shown that machines can be made which also reproduce themselves... Other kinds of self-reproducing machines will be described, and one simple mechanical model, with no electrical or magnetic complications, will be there in working order for the audience to inspect and operate."
-- Edward Forrest Moore
In cellular automata, the Moore neighborhood comprises the eight cells surrounding a central cell on a two-dimensional square lattice. The neighborhood is named after Edward F. Moore, a pioneer of cellular automata theory. Many board games are played on a rectangular grid with squares as cells. For some games, it is important to know the conditions of neighbouring cells for chip (figure, draught, checker, etc) placement and strategy.
You are given a state for a rectangular board game grid with chips in a binary matrix, where 1 is a cell with a chip and 0 is an empty cell. You are also given the coordinates for a cell in the form of row and column numbers (starting from 0). You should determine how many chips are close to this cell. Every cell interacts with its eight neighbours; those cells that are horizontally, vertically, or diagonally adjacent.
The two examples shown use the same grid:
((1, 0, 0, 1, 0), (0, 1, 0, 0, 0), (0, 0, 1, 0, 1), (1, 0, 0, 0, 0), (0, 0, 1, 0, 0),)
For the first example, coordinates of the cell are (1, 2) and as we can see from the schema this cell has 3 neighbour chips. For the second example coordinates are (0, 0). This cell contains a chip, but we count only neighbours and the answer is 1.
Input: Three arguments:
Output: The number of neighbouring cells that have chips, as an integer.
Example:
count_neighbours(((1, 0, 0, 1, 0),
(0, 1, 0, 0, 0),
(0, 0, 1, 0, 1),
(1, 0, 0, 0, 0),
(0, 0, 1, 0, 0),), 1, 2) == 3
count_neighbours(((1, 0, 0, 1, 0),
(0, 1, 0, 0, 0),
(0, 0, 1, 0, 1),
(1, 0, 0, 0, 0),
(0, 0, 1, 0, 0),), 0, 0) == 1
How it is used: As we mentioned in the beginning, this idea can be useful for developing board game algorithms. In addition, the same principles it can be useful for navigational software, or geographical surveying software.
Precondition:
3 ≤ len(grid) ≤ 10
all(len(grid[0]) == len(row) for row in grid)
CheckiO Extensions allow you to use local files to solve missions. More info in a blog post.
In order to install CheckiO client you'll need installed Python (version at least 3.8)
Install CheckiO Client first:
pip3 install checkio_client
Configure your tool
checkio --domain=py config --key=
Sync solutions into your local folder
checkio sync
(in beta testing) Launch local server so your browser can use it and sync solution between local file end extension on the fly. (doesn't work for safari)
checkio serv -d
Alternatevly, you can install Chrome extension or FF addon
checkio install-plugin
checkio install-plugin --ff
checkio install-plugin --chromium
Read more here about other functionality that the checkio client provides. Feel free to submit an issue in case of any difficulties.
Welcome to Pair Programming! Engage in real-time collaboration on coding projects by starting a session and sharing the provided unique URL with friends or colleagues. This feature is perfect for joint project development, debugging, or learning new skills together. Simply click 'Start Session' to begin your collaborative coding journey!
You are trying to join a pair programming session that has not started yet.
Please wait for the session creator to join.
It looks like the creator of the pair programming session closed the editor window.
It might happen accidentally, so that you can wait for reconnection.
