Difference between revisions of "FormulaAI Functions"
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=== 'debug_print' function === | === 'debug_print' function === | ||
+ | |||
+ | <formula> = debug_print( [ <optional string> ,] <formula> ) | ||
+ | |||
+ | This function can be used for debging the formulas. It takes formula, writes output to the console and return it unchanged. For example: | ||
+ | |||
+ | debug_print( [ 1, 2, 3 ] ) | ||
+ | |||
+ | will result in printing to the console | ||
+ | |||
+ | [ 1, 2, 3 ] | ||
+ | |||
+ | Return value is the same. | ||
+ | |||
+ | We can specify optional parameter that helps to distinguish what each of debug_print outputs means, if we have multiple in one formula: | ||
+ | |||
+ | debug_print( 'My array: ', [ 1, 2, 3 ] ) | ||
+ | |||
+ | will write in the console: | ||
+ | |||
+ | My array: [ 1, 2, 3 ] | ||
+ | |||
+ | And return | ||
+ | |||
+ | [ 1, 2, 3 ] | ||
=== 'dir' function === | === 'dir' function === |
Revision as of 09:59, 30 August 2008
Contents
- 1 Overview
- 2 core functions
- 2.1 'abs' function
- 2.2 'choose' function
- 2.3 'contains_string' function
- 2.4 'debug_print' function
- 2.5 'dir' function
- 2.6 'filter' function
- 2.7 'find' function
- 2.8 'head' function
- 2.9 'if' function
- 2.10 'keys' function
- 2.11 'map' function
- 2.12 'max' function
- 2.13 'min' function
- 2.14 'size' function
- 2.15 'sort' function
- 2.16 'sum' function
- 2.17 'switch' function
- 2.18 'tolist' function
- 2.19 'tomap' function
- 2.20 'values' function
- 3 AI specific functions
- 3.1 Base functions
- 3.2 Evaluation
- 3.3 Gamemap functions
- 3.3.1 'close enemies' function
- 3.3.2 'distance_between' function
- 3.3.3 'distance_to_nearest_unowned_village' function
- 3.3.4 'defense_on' function
- 3.3.5 'find_shroud' function
- 3.3.6 'is_village' function
- 3.3.7 'loc' function
- 3.3.8 'unit_at' function
- 3.3.9 'nearest_keep' function
- 3.3.10 'unit_moves' function
- 3.3.11 'units_can_reach' function
- 3.4 Recruitment
Overview
Syntax used to explain functions usage in this document is:
<result> = <function name>( <comma-separated list of parameters> [, <comma-separated list of optional parameters] )
Function may return <result> as:
- <variable> - any of the supported variable types
- <boolean> - false ( 0 or null ) or true ( 1 )
- <unit> - unit
- <location> - place on a gamemap
- <action> - object, which, if later passed to 'move= ' as the result of formula evaluation, make the AI perform a desired action.
- <result> - any of the above
Also function may return only single argument, or be able to return a whole list or a map.
There are a wide variety of functions which can be used to accomplish many different tasks. You can also define your own functions.
core functions
'abs' function
<number> = abs( <input number> )
Function returns absolute value of an <input number>, for example
abs( -5 )
will return 5.
'choose' function
<result> = choose( <input list> , [ <string> ,] <formula> )
This function evaluates <formula> for each item in the <input> (which can be a list ro a map). Will evaluate to the one item which <formula> gave the highest value. For example:
choose(my_units, level)
gives back the unit with the highest level.
Note: The implicit input when evaluating a mapping/filtering function's <formula> component will be that specific item under evaluation (in this example one of "my_units"), and it can be explicitly referenced as 'self' when necessary. Optional <string> paremater indicates what word used in <formula> is equivalent to 'self'.
When evaluating the map data type, we can reference to each key by 'key' and each value by 'value'. For example:
choose( [ 'elf' -> 10, 'dwarf' -> 20 ], value )
Will return a key-value pair
{ key->'dwarf', value->20 }
'contains_string' function
'debug_print' function
<formula> = debug_print( [ <optional string> ,] <formula> )
This function can be used for debging the formulas. It takes formula, writes output to the console and return it unchanged. For example:
debug_print( [ 1, 2, 3 ] )
will result in printing to the console
[ 1, 2, 3 ]
Return value is the same.
We can specify optional parameter that helps to distinguish what each of debug_print outputs means, if we have multiple in one formula:
debug_print( 'My array: ', [ 1, 2, 3 ] )
will write in the console:
My array: [ 1, 2, 3 ]
And return
[ 1, 2, 3 ]
'dir' function
<list of names> = dir ( <input object> )
This function return list with all names of <input object's> members. For example:
dir( my_leader )
will result in output:
[ 'x', 'y', 'loc', 'id', 'leader', 'hitpoints', 'max_hitpoints', 'experience', 'max_experience', 'level', 'total_movement', 'movement_left', 'side', 'is_enemy', 'is_mine']
This command is useful in formula command line, to get information about members of different type of data. To get list of members of the ai, type:
dir( self )
'filter' function
<reult> = filter( <input>, [ <string> ,] <formula> )
This function will run <formula> on each item in the <input> (which can be a list or a map). Will evaluate to a <result> which only contains items the <formula> was true for. Optional <string> indicates what word used in <formula> is equivalent to 'self'. For example:
filter(my_units, hitpoints < max_hitpoints)
will return all of your units which have less than maximum hitpoints. For instance this could be used if looking for candidates for healing.
'find' function
<result> = find( <input>, [ <string>,] <formula> )
This function will run <formula> on each item in the <input> (which can be a list or a map) and will return a first item for which <formula> was true. Optional <string> indicates what word used in <formula> is equivalent to 'self'. For example:
filter(units, id = 'Elvish Archer' )
will return first unit with id equal to 'Elvish Archer'.
'head' function
<variable> = head( <list of variables> )
Head returns first item from the <list of variables>, for example
head( [ 5, 7, 9] ) #returns 5 head( [ 'Orc', 'Human' ] ) #returns 'Orc'
'if' function
<result> = if( <condition> , <if true> , <otherwise> )
If the <condition> parameter is true, the function will evaluate to being equal to its second input ( <if true> ), otherwise it will evaluate to being equal to its third input ( <otherwise> ).
For instance, an AI that recruits Wolf Riders on the first turn, and Orcish Grunts thereafter might look like this:
move="if(turn = 1, recruit('Wolf Rider'), recruit('Orcish Grunt'))"
'keys' function
<result list> = keys( <input map> )
Extract key values from a <input map> and return them as a <result list>
keys( [ 'Elvish Fighter' -> 50, 'Elvish Archer' -> 60 ] )
Returns
[ 'Elvish Fighter', 'Elvish Archer' ]
'map' function
<result> = map( <input> , [ <string> ,] <formula> )
This function will run <formula> on each item in the <input> (which can be a list or a map), and evaluate to a new <result> list, or a map, which contains the same number of items as in <input>, with the formulas run on each item. Optional <string> indicates what word used in <formula> is equivalent to 'self'. For example:
map( [10,20], self*self)
and
map( [10,20], 'value', value*value)
both will result in [100, 400]. Formula:
map(my_units, hitpoints)
will give a list back with the number of hitpoints each unit has. This is more useful in conjunction with other functions.
map( [ 'elf' -> 10, 'dwarf' -> 20 ], value*2 )
Above will produce [ 'elf' -> 20, 'dwarf' -> 40 ]. Note that in case of a map data type, 'map' function can modify only the value.
'max' function
<number> = max( <list of numbers> )
Function will return maximal number from a list,
max( [ 2, 8, -10, 3] )
will return 8.
'min' function
<number> = min( <list of numbers> )
Function will return minimal number from a list,
min( [ 3, 7, -2, 6] )
will return -2.
'size' function
<number> = size( <list of variables> )
This function returns how many variables are stored in a list:
size( [ 5, 7, 9] ) #return 3 size( [ 'Archer', 'Fighter' ] ) #return 2
'sort' function
<result list> = sort( <input list> , <formula> )
This function evaluates to a <result list> sorted according to the comparison <formula> for each item 'a' and its successor 'b'. For instance, sorting units according to hitpoints would be done by:
sort( my_units, a.hitpoints > b.hitpoints )
'sum' function
<number> = sum( <list of numbers> )
This function evaluates to the sum of the items in the <list of numbers>. For example
sum( [ 2, 5, 8] )
returns 15, and:
sum( map( my_units, max_hitpoints - hitpoints ) )
finds the total damage your units have taken.
'switch' function
<result> = switch( <variable>, <value 1>, <outcome 1>, ... , <value N>, <outcome N> [, <default outcome> ] >
Switch funtion takes variable, and checks if it is equal to any of the specified <values>. If matching value is found, <outcome> assigned to it is returned, if not, then function returns either <default outcome> (if specified) or null.
'tolist' function
<list> = tolist( <input map> )
This function takes map and return a list of key-value pairs objects. For example:
tolist( [ 'Elf' -> 10, 'Dwarf' -> 20] )
will return:
[{key->'Elf',value->10}, {key->'Dwarf',value->20}]
'tomap' function
<map> = tomap( <input list A> [, <input list B> ] )
This function takes one or two lists as input and returns a map. If only one list is specified, then function will evaluate this list, count how many simmilar elements are withing this list, and return a map with keys being these elements, and values being a number representing of them list contains, For example:
tomap( ['elf', 'dwarf', 'elf', 'elf', 'human', 'human' ] )
will return:
[ 'elf' -> 3, 'dwarf' -> 1, 'human' -> 2 ]
If two lists are specified, then elements of the first one will be used as a keys, and elements of second one as a values, when creating a output map. Note that these input lists must be of the same length.
tomap( [ 'elf', 'dwarf' ], [10, 20] )
will result in:
[ 'elf' -> 10, 'dwarf' -> 20 ]
'values' function
<result list> = values( <input map> )
Extract values assigned to keys from a <input map> and return them as a <result list>
values( [ 'Elvish Fighter' -> 50, 'Elvish Archer' -> 60 ] )
Returns
[ 50, 60 ]
AI specific functions
Base functions
'attack' function
<action> = attack( <attacker's position>, <destination>, <attack location> [, <weapon> ] )
The first three parameters are locations. At the begining, unit which is standing at <attacker's position> is moved to <destination> place. Then, from that place unit is attacking unit which stands in place marked by <attack location>. Fourth optional parameter is number, and indicates which weapon attacker should use - if not specified, best possible weapon is chosed automatically.
'fallback' function
<action> = fallback( [<name>] )
This function allows to chose different AI or to human player, who will take control over side untill the end of current turn. For example:
fallback()
will transfer control to the default C++ AI. You can specify a name of different AI (for example python_ai) to transfer control to it. If you want to give control to the player, use:
fallback( 'human' )
'get_unit_type' function
<unit> = get_unit_type( <unit name> )
Function returns unit_type object of desired type, for example:
get_unit_type( 'Mage' )
will result in returning unit_type of a Mage.
'move' function
<action> = move( <source> , <destination> )
For example unit formula like:
move(me.loc, loc(me.loc.x, me.loc.y - 1) )
will make unit move one hex north.
'set_var' function
<action> = set_var( <key> , <value> )
This action sets new variable, for example:
set_var( 'Number one' , 1 )
Will create variable with name 'Number one' and assign 1 to it.
Evaluation
'chance to hit' function
<number> = chance_to_hit( <unit> , <location> )
This function returns how possible ( in % ) it is to hit given <unit> in a specific <location>. For example:
chance_to_hit( my_leader , my_leader.loc )
shows how easy it is to hit your leader has in a place he is currently standing on.
'max_possible_damage' function
<number> = max_possible_damage( <attacking unit> , <defending unit> )
Function returns highest possible damage that <attacking unit> can inflict to <defending unit>.
'max_possible_damage_with_retaliation' function
<number> = max_possible_damage_with_retaliation( <attacking unit> , <defending unit> )
Function returns an array:
[ <attacker_melee>, <attacker_ranged>, <defender_melee>, <defender_ranged> ]
in which first two elements are highest possible damage that <attacking unit> can inflict to <defending unit> with melee and ranged attacks, and latter two elements are highest possible damage that <defending unit> can inflict to <attacking unit> also with melee and ranged attacks.
'movement_cost' function
<number> = movement_cost( <unit> , <location> )
This function returns movememtn cost of given <unit> in a specific <location>. For example:
movement_cost( my_leader , my_leader.loc )
shows what movement cost your leader has in a place he is currently standing on.
Gamemap functions
'close enemies' function
<units list> = close_enemies( <location> , <distance> )
This function gets a list of enemies in the given or smaller distance from the location. For example:
close_enemies(loc(10,10), 5)
gives back a list of enemies in the distance of 5 tiles or less from the tile (10, 10).
'distance_between' function
<number> = distance_between( <location A> , <location B> )
This function returns distance (in hexes) between <location A> and <location B>. For example:
distance_between( loc( 1, 1) , loc( 3, 3) )
will return 3.
'distance_to_nearest_unowned_village' function
<number> = distance_to_nearest_unowned_village( <location A> )
This function returns distance (in hexes) between <location A> and nearest unowned village.
'defense_on' function
<number> = defense_on( <unit> , <location> )
This function returns defense rate of given <unit> in a specific <location>. For example:
defense_on( my_leader , my_leader.loc )
shows how good defense your leader has in a place he is currently standing on.
'find_shroud' function
<locations list> = find_shroud()
This function will return a list of locations of shrouded hexes.
'is_village' function
<boolean> = is_village( <map or ai.map> , <location> ) #1
<boolean> = is_village( <map or ai.map> , <coordinate x> , <coordinate y> ) #2
The first argument is always a 'map' - member of the ai which provides information about the gamemap.
In #1 usage, we put in as a second argument location. In #2, second and third arguments are numbers: coordniates of the certain hex on a map. Function checks if that place is a village, and returns either 1 (yes, it is village) or 0 (no, it isn't village). Example of usage:
is_village( map , loc( 2, 3) )
is_village( map , 2, 3)
Both check, if hex with coordinates 2,3 is a village.
Remember, when using is_village in custom function, you either have to access map by writing 'ai.map', or specify ai as a 'default input'.
'loc' function
<location> = loc( <X number>, <Y number> )
Function will return a location (pair of numbers) from two given input arguments.
'unit_at' function
<unit> = unit_at( <location> )
This function takes only one argument - location, and returns unit if there is one standing in that location, or null otherwise. Example of usage:
unit_at( loc( 4, 4) )
'nearest_keep' function
<keep location> = nearest_keep( <input location> )
Function returns location of nearest keep to the specified <input location>, or null if there is no keep on the map.
'unit_moves' function
<locations list> = unit_moves( <unit location> )
Function returns list of all possible locations which unit standing at <unit location> can reach. If unit can't move, or there is no unit standing at given location, empty list is returned.
'units_can_reach' function
<units list> = units_can_reach( <possible moves list>, <location> )
Function takes as an input list of possible moves ( ai.my_moves for units that belong to AI, or ai.enemy_moves for units that belong to the opponent ) and checks which units from that list can reach <location>.
Recruitment
'recruit' function
<action> = recruit( <unit name> [, <location> ] )
This function results in recruting a unit specifed by <unit name> at first free castle hex, or at given <location>. Function:
recruit('Footpad', loc(3,3) )
will result in recruting Footpad at castle hex with coordinates 3,3.