Files @ r24498:e9114d9ab04a
Branch filter:

Location: cpp/openttd-patchpack/source/src/core/smallmatrix_type.hpp

Patric Stout
Fix #6468: don't store version of AIs-started-via-console in name

You can do: "startai myai.3", which starts version 3 of "myai".
This is very useful for testing save/load code between different
versions of your AI.

However, when using this syntax, the AI got saved as "myai.3" as
name of the AI, instead of "myai". This caused several problems,
like indicating to the user the AI could not be found, but still
load the AI. But in all cases, the AI never got the chance to
load the saved data, making the whole reason this exists pointless.

By splitting the name and version already in the console command,
the code becomes simpler and AIs started this way now follow the
normal flow after initialization.
/*
 * This file is part of OpenTTD.
 * OpenTTD is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 2.
 * OpenTTD is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
 * See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with OpenTTD. If not, see <http://www.gnu.org/licenses/>.
 */

/** @file smallmatrix_type.hpp Simple matrix class that allows allocating an item without the need to copy this->data needlessly. */

#ifndef SMALLMATRIX_TYPE_HPP
#define SMALLMATRIX_TYPE_HPP

#include "alloc_func.hpp"
#include "mem_func.hpp"

/**
 * Simple matrix template class.
 *
 * Allocating a matrix in one piece reduces overhead in allocations compared
 * with allocating a vector of vectors and saves some pointer dereferencing.
 * However, you can only get rectangular matrixes like this and if you're
 * changing their height very often performance will probably be worse than
 * with a vector of vectors, due to more frequent copying of memory blocks.
 *
 * No iterators are provided as iterating the columns would require persistent
 * column objects. Those do not exist. Providing iterators with transient
 * column objects would tie each iterator to a column object, thus replacing
 * previously retrieved columns when iterating and defeating the point of
 * iteration.
 *
 * It's expected that the items don't need to be constructed or deleted by the
 * container. Only memory allocation and deallocation is performed. This is the
 * same for all openttd "SmallContainer" classes.
 *
 * @tparam T The type of the items stored
 */
template <typename T>
class SmallMatrix {
protected:
	T *data;       ///< The pointer to the first item
	uint width;    ///< Number of items over first axis
	uint height;   ///< Number of items over second axis
	uint capacity; ///< The available space for storing items

public:

	SmallMatrix() : data(nullptr), width(0), height(0), capacity(0) {}

	/**
	 * Copy constructor.
	 * @param other The other matrix to copy.
	 */
	SmallMatrix(const SmallMatrix &other) : data(nullptr), width(0), height(0), capacity(0)
	{
		this->Assign(other);
	}

	~SmallMatrix()
	{
		free(this->data);
	}

	/**
	 * Assignment.
	 * @param other The other matrix to assign.
	 */
	SmallMatrix &operator=(const SmallMatrix &other)
	{
		this->Assign(other);
		return *this;
	}

	/**
	 * Assign items from other vector.
	 */
	inline void Assign(const SmallMatrix &other)
	{
		if (&other == this) return;

		this->height = other.Height();
		this->width = other.Width();
		uint num_items = this->width * this->height;
		if (num_items > this->capacity) {
			this->capacity = num_items;
			free(this->data);
			this->data = MallocT<T>(num_items);
			MemCpyT(this->data, other[0], num_items);
		} else if (num_items > 0) {
			MemCpyT(this->data, other[0], num_items);
		}
	}

	/**
	 * Remove all rows from the matrix.
	 */
	inline void Clear()
	{
		/* In fact we just reset the width avoiding the need to
		 * probably reallocate the same amount of memory the matrix was
		 * previously using. */
		this->width = 0;
	}

	/**
	 * Remove all items from the list and free allocated memory.
	 */
	inline void Reset()
	{
		this->height = 0;
		this->width = 0;
		this->capacity = 0;
		free(this->data);
		this->data = nullptr;
	}

	/**
	 * Compact the matrix down to the smallest possible size.
	 */
	inline void Compact()
	{
		uint capacity = this->height * this->width;
		if (capacity >= this->capacity) return;
		this->capacity = capacity;
		this->data = ReallocT(this->data, this->capacity);
	}

	/**
	 * Erase a column, replacing it with the last one.
	 * @param x Position of the column.
	 */
	void EraseColumn(uint x)
	{
		if (x < --this->width) {
			MemCpyT<T>(this->data + x * this->height,
					this->data + this->width * this->height,
					this->height);
		}
	}

	/**
	 * Remove columns from the matrix while preserving the order of other columns.
	 * @param x First column to remove.
	 * @param count Number of consecutive columns to remove.
	 */
	void EraseColumnPreservingOrder(uint x, uint count = 1)
	{
		if (count == 0) return;
		assert(x < this->width);
		assert(x + count <= this->width);
		this->width -= count;
		uint to_move = (this->width - x) * this->height;
		if (to_move > 0) {
			MemMoveT(this->data + x * this->height,
					this->data + (x + count) * this->height, to_move);
		}
	}

	/**
	 * Erase a row, replacing it with the last one.
	 * @param y Position of the row.
	 */
	void EraseRow(uint y)
	{
		if (y < this->height - 1) {
			for (uint x = 0; x < this->width; ++x) {
				this->data[x * this->height + y] =
						this->data[(x + 1) * this->height - 1];
			}
		}
		this->Resize(this->width, this->height - 1);
	}

	/**
	 * Remove columns from the matrix while preserving the order of other columns.
	 * @param y First column to remove.
	 * @param count Number of consecutive columns to remove.
	 */
	void EraseRowPreservingOrder(uint y, uint count = 1)
	{
		if (this->height > count + y) {
			for (uint x = 0; x < this->width; ++x) {
				MemMoveT(this->data + x * this->height + y,
						this->data + x * this->height + y + count,
						this->height - count - y);
			}
		}
		this->Resize(this->width, this->height - count);
	}

	/**
	 * Append rows.
	 * @param to_add Number of rows to append.
	 */
	inline void AppendRow(uint to_add = 1)
	{
		this->Resize(this->width, to_add + this->height);
	}

	/**
	 * Append rows.
	 * @param to_add Number of rows to append.
	 */
	inline void AppendColumn(uint to_add = 1)
	{
		this->Resize(to_add + this->width, this->height);
	}

	/**
	 * Set the size to a specific width and height, preserving item positions
	 * as far as possible in the process.
	 * @param new_width Target width.
	 * @param new_height Target height.
	 */
	inline void Resize(uint new_width, uint new_height)
	{
		uint new_capacity = new_width * new_height;
		T *new_data = nullptr;
		void (*copy)(T *dest, const T *src, size_t count) = nullptr;
		if (new_capacity > this->capacity) {
			/* If the data doesn't fit into current capacity, resize and copy ... */
			new_data = MallocT<T>(new_capacity);
			copy = &MemCpyT<T>;
		} else {
			/* ... otherwise just move the columns around, if necessary. */
			new_data = this->data;
			copy = &MemMoveT<T>;
		}
		if (this->height != new_height || new_data != this->data) {
			if (this->height > 0) {
				if (new_height > this->height) {
					/* If matrix is growing, copy from the back to avoid
					 * overwriting uncopied data. */
					for (uint x = this->width; x > 0; --x) {
						if (x * new_height > new_capacity) continue;
						(*copy)(new_data + (x - 1) * new_height,
								this->data + (x - 1) * this->height,
								min(this->height, new_height));
					}
				} else {
					/* If matrix is shrinking copy from the front. */
					for (uint x = 0; x < this->width; ++x) {
						if ((x + 1) * new_height > new_capacity) break;
						(*copy)(new_data + x * new_height,
								this->data + x * this->height,
								min(this->height, new_height));
					}
				}
			}
			this->height = new_height;
			if (new_data != this->data) {
				free(this->data);
				this->data = new_data;
				this->capacity = new_capacity;
			}
		}
		this->width = new_width;
	}

	inline uint Height() const
	{
		return this->height;
	}

	inline uint Width() const
	{
		return this->width;
	}

	/**
	 * Get item x/y (const).
	 *
	 * @param x X-position of the item.
	 * @param y Y-position of the item.
	 * @return Item at specified position.
	 */
	inline const T &Get(uint x, uint y) const
	{
		assert(x < this->width && y < this->height);
		return this->data[x * this->height + y];
	}

	/**
	 * Get item x/y.
	 *
	 * @param x X-position of the item.
	 * @param y Y-position of the item.
	 * @return Item at specified position.
	 */
	inline T &Get(uint x, uint y)
	{
		assert(x < this->width && y < this->height);
		return this->data[x * this->height + y];
	}

	/**
	 * Get column "number" (const)
	 *
	 * @param x Position of the column.
	 * @return Column at "number".
	 */
	inline const T *operator[](uint x) const
	{
		assert(x < this->width);
		return this->data + x * this->height;
	}

	/**
	 * Get column "number" (const)
	 *
	 * @param x Position of the column.
	 * @return Column at "number".
	 */
	inline T *operator[](uint x)
	{
		assert(x < this->width);
		return this->data + x * this->height;
	}
};

#endif /* SMALLMATRIX_TYPE_HPP */