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Location: cpp/openttd-patchpack/source/src/pathfinder/yapf/yapf_base.hpp
r27835:eabfaa878ced
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Add: calendar date for Survey results
This means no heuristics is possible on around which date people
play the game.
This means no heuristics is possible on around which date people
play the game.
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* 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 yapf_base.hpp Base classes for YAPF. */
#ifndef YAPF_BASE_HPP
#define YAPF_BASE_HPP
#include "../../debug.h"
#include "../../settings_type.h"
/**
* CYapfBaseT - A-star type path finder base class.
* Derive your own pathfinder from it. You must provide the following template argument:
* Types - used as collection of local types used in pathfinder
*
* Requirements for the Types struct:
* ----------------------------------
* The following types must be defined in the 'Types' argument:
* - Types::Tpf - your pathfinder derived from CYapfBaseT
* - Types::NodeList - open/closed node list (look at CNodeList_HashTableT)
* NodeList needs to have defined local type Titem - defines the pathfinder node type.
* Node needs to define local type Key - the node key in the collection ()
*
* For node list you can use template class CNodeList_HashTableT, for which
* you need to declare only your node type. Look at test_yapf.h for an example.
*
*
* Requirements to your pathfinder class derived from CYapfBaseT:
* --------------------------------------------------------------
* Your pathfinder derived class needs to implement following methods:
* inline void PfSetStartupNodes()
* inline void PfFollowNode(Node &org)
* inline bool PfCalcCost(Node &n)
* inline bool PfCalcEstimate(Node &n)
* inline bool PfDetectDestination(Node &n)
*
* For more details about those methods, look at the end of CYapfBaseT
* declaration. There are some examples. For another example look at
* test_yapf.h (part or unittest project).
*/
template <class Types>
class CYapfBaseT {
public:
typedef typename Types::Tpf Tpf; ///< the pathfinder class (derived from THIS class)
typedef typename Types::TrackFollower TrackFollower;
typedef typename Types::NodeList NodeList; ///< our node list
typedef typename Types::VehicleType VehicleType; ///< the type of vehicle
typedef typename NodeList::Titem Node; ///< this will be our node type
typedef typename Node::Key Key; ///< key to hash tables
NodeList m_nodes; ///< node list multi-container
protected:
Node *m_pBestDestNode; ///< pointer to the destination node found at last round
Node *m_pBestIntermediateNode; ///< here should be node closest to the destination if path not found
const YAPFSettings *m_settings; ///< current settings (_settings_game.yapf)
int m_max_search_nodes; ///< maximum number of nodes we are allowed to visit before we give up
const VehicleType *m_veh; ///< vehicle that we are trying to drive
int m_stats_cost_calcs; ///< stats - how many node's costs were calculated
int m_stats_cache_hits; ///< stats - how many node's costs were reused from cache
public:
int m_num_steps; ///< this is there for debugging purposes (hope it doesn't hurt)
public:
/** default constructor */
inline CYapfBaseT()
: m_pBestDestNode(nullptr)
, m_pBestIntermediateNode(nullptr)
, m_settings(&_settings_game.pf.yapf)
, m_max_search_nodes(PfGetSettings().max_search_nodes)
, m_veh(nullptr)
, m_stats_cost_calcs(0)
, m_stats_cache_hits(0)
, m_num_steps(0)
{
}
/** default destructor */
~CYapfBaseT() {}
protected:
/** to access inherited path finder */
inline Tpf& Yapf()
{
return *static_cast<Tpf *>(this);
}
public:
/** return current settings (can be custom - company based - but later) */
inline const YAPFSettings& PfGetSettings() const
{
return *m_settings;
}
/**
* Main pathfinder routine:
* - set startup node(s)
* - main loop that stops if:
* - the destination was found
* - or the open list is empty (no route to destination).
* - or the maximum amount of loops reached - m_max_search_nodes (default = 10000)
* @return true if the path was found
*/
inline bool FindPath(const VehicleType *v)
{
m_veh = v;
Yapf().PfSetStartupNodes();
bool bDestFound = true;
for (;;) {
m_num_steps++;
Node *n = m_nodes.GetBestOpenNode();
if (n == nullptr) {
break;
}
/* if the best open node was worse than the best path found, we can finish */
if (m_pBestDestNode != nullptr && m_pBestDestNode->GetCost() < n->GetCostEstimate()) {
break;
}
Yapf().PfFollowNode(*n);
if (m_max_search_nodes == 0 || m_nodes.ClosedCount() < m_max_search_nodes) {
m_nodes.PopOpenNode(n->GetKey());
m_nodes.InsertClosedNode(*n);
} else {
bDestFound = false;
break;
}
}
bDestFound &= (m_pBestDestNode != nullptr);
if (_debug_yapf_level >= 3) {
UnitID veh_idx = (m_veh != nullptr) ? m_veh->unitnumber : 0;
char ttc = Yapf().TransportTypeChar();
float cache_hit_ratio = (m_stats_cache_hits == 0) ? 0.0f : ((float)m_stats_cache_hits / (float)(m_stats_cache_hits + m_stats_cost_calcs) * 100.0f);
int cost = bDestFound ? m_pBestDestNode->m_cost : -1;
int dist = bDestFound ? m_pBestDestNode->m_estimate - m_pBestDestNode->m_cost : -1;
Debug(yapf, 3, "[YAPF{}]{}{:4d} - {} rounds - {} open - {} closed - CHR {:4.1f}% - C {} D {}",
ttc, bDestFound ? '-' : '!', veh_idx, m_num_steps, m_nodes.OpenCount(), m_nodes.ClosedCount(), cache_hit_ratio, cost, dist
);
}
return bDestFound;
}
/**
* If path was found return the best node that has reached the destination. Otherwise
* return the best visited node (which was nearest to the destination).
*/
inline Node *GetBestNode()
{
return (m_pBestDestNode != nullptr) ? m_pBestDestNode : m_pBestIntermediateNode;
}
/**
* Calls NodeList::CreateNewNode() - allocates new node that can be filled and used
* as argument for AddStartupNode() or AddNewNode()
*/
inline Node& CreateNewNode()
{
Node &node = *m_nodes.CreateNewNode();
return node;
}
/** Add new node (created by CreateNewNode and filled with data) into open list */
inline void AddStartupNode(Node &n)
{
Yapf().PfNodeCacheFetch(n);
/* insert the new node only if it is not there */
if (m_nodes.FindOpenNode(n.m_key) == nullptr) {
m_nodes.InsertOpenNode(n);
} else {
/* if we are here, it means that node is already there - how it is possible?
* probably the train is in the position that both its ends point to the same tile/exit-dir
* very unlikely, but it happened */
}
}
/** add multiple nodes - direct children of the given node */
inline void AddMultipleNodes(Node *parent, const TrackFollower &tf)
{
bool is_choice = (KillFirstBit(tf.m_new_td_bits) != TRACKDIR_BIT_NONE);
for (TrackdirBits rtds = tf.m_new_td_bits; rtds != TRACKDIR_BIT_NONE; rtds = KillFirstBit(rtds)) {
Trackdir td = (Trackdir)FindFirstBit2x64(rtds);
Node &n = Yapf().CreateNewNode();
n.Set(parent, tf.m_new_tile, td, is_choice);
Yapf().AddNewNode(n, tf);
}
}
/**
* In some cases an intermediate node branch should be pruned.
* The most prominent case is when a red EOL signal is encountered, but
* there was a segment change (e.g. a rail type change) before that. If
* the branch would not be pruned, the rail type change location would
* remain the best intermediate node, and thus the vehicle would still
* go towards the red EOL signal.
*/
void PruneIntermediateNodeBranch(Node *n)
{
bool intermediate_on_branch = false;
while (n != nullptr && (n->m_segment->m_end_segment_reason & ESRB_CHOICE_FOLLOWS) == 0) {
if (n == Yapf().m_pBestIntermediateNode) intermediate_on_branch = true;
n = n->m_parent;
}
if (intermediate_on_branch) Yapf().m_pBestIntermediateNode = n;
}
/**
* AddNewNode() - called by Tderived::PfFollowNode() for each child node.
* Nodes are evaluated here and added into open list
*/
void AddNewNode(Node &n, const TrackFollower &tf)
{
/* evaluate the node */
bool bCached = Yapf().PfNodeCacheFetch(n);
if (!bCached) {
m_stats_cost_calcs++;
} else {
m_stats_cache_hits++;
}
bool bValid = Yapf().PfCalcCost(n, &tf);
if (bCached) {
Yapf().PfNodeCacheFlush(n);
}
if (bValid) bValid = Yapf().PfCalcEstimate(n);
/* have the cost or estimate callbacks marked this node as invalid? */
if (!bValid) return;
/* detect the destination */
bool bDestination = Yapf().PfDetectDestination(n);
if (bDestination) {
if (m_pBestDestNode == nullptr || n < *m_pBestDestNode) {
m_pBestDestNode = &n;
}
m_nodes.FoundBestNode(n);
return;
}
/* The new node can be set as the best intermediate node only once we're
* certain it will be finalized by being inserted into the open list. */
bool set_intermediate = m_max_search_nodes > 0 && (m_pBestIntermediateNode == nullptr || (m_pBestIntermediateNode->GetCostEstimate() - m_pBestIntermediateNode->GetCost()) > (n.GetCostEstimate() - n.GetCost()));
/* check new node against open list */
Node *openNode = m_nodes.FindOpenNode(n.GetKey());
if (openNode != nullptr) {
/* another node exists with the same key in the open list
* is it better than new one? */
if (n.GetCostEstimate() < openNode->GetCostEstimate()) {
/* update the old node by value from new one */
m_nodes.PopOpenNode(n.GetKey());
*openNode = n;
/* add the updated old node back to open list */
m_nodes.InsertOpenNode(*openNode);
if (set_intermediate) m_pBestIntermediateNode = openNode;
}
return;
}
/* check new node against closed list */
Node *closedNode = m_nodes.FindClosedNode(n.GetKey());
if (closedNode != nullptr) {
/* another node exists with the same key in the closed list
* is it better than new one? */
int node_est = n.GetCostEstimate();
int closed_est = closedNode->GetCostEstimate();
if (node_est < closed_est) {
/* If this assert occurs, you have probably problem in
* your Tderived::PfCalcCost() or Tderived::PfCalcEstimate().
* The problem could be:
* - PfCalcEstimate() gives too large numbers
* - PfCalcCost() gives too small numbers
* - You have used negative cost penalty in some cases (cost bonus) */
NOT_REACHED();
}
return;
}
/* the new node is really new
* add it to the open list */
m_nodes.InsertOpenNode(n);
if (set_intermediate) m_pBestIntermediateNode = &n;
}
const VehicleType * GetVehicle() const
{
return m_veh;
}
void DumpBase(DumpTarget &dmp) const
{
dmp.WriteStructT("m_nodes", &m_nodes);
dmp.WriteValue("m_num_steps", m_num_steps);
}
/* methods that should be implemented at derived class Types::Tpf (derived from CYapfBaseT) */
#if 0
/** Example: PfSetStartupNodes() - set source (origin) nodes */
inline void PfSetStartupNodes()
{
/* example: */
Node &n1 = *base::m_nodes.CreateNewNode();
.
. // setup node members here
.
base::m_nodes.InsertOpenNode(n1);
}
/** Example: PfFollowNode() - set following (child) nodes of the given node */
inline void PfFollowNode(Node &org)
{
for (each follower of node org) {
Node &n = *base::m_nodes.CreateNewNode();
.
. // setup node members here
.
n.m_parent = &org; // set node's parent to allow back tracking
AddNewNode(n);
}
}
/** Example: PfCalcCost() - set path cost from origin to the given node */
inline bool PfCalcCost(Node &n)
{
/* evaluate last step cost */
int cost = ...;
/* set the node cost as sum of parent's cost and last step cost */
n.m_cost = n.m_parent->m_cost + cost;
return true; // true if node is valid follower (i.e. no obstacle was found)
}
/** Example: PfCalcEstimate() - set path cost estimate from origin to the target through given node */
inline bool PfCalcEstimate(Node &n)
{
/* evaluate the distance to our destination */
int distance = ...;
/* set estimate as sum of cost from origin + distance to the target */
n.m_estimate = n.m_cost + distance;
return true; // true if node is valid (i.e. not too far away :)
}
/** Example: PfDetectDestination() - return true if the given node is our destination */
inline bool PfDetectDestination(Node &n)
{
bool bDest = (n.m_key.m_x == m_x2) && (n.m_key.m_y == m_y2);
return bDest;
}
#endif
};
#endif /* YAPF_BASE_HPP */
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