i2p, i2c []string // Generated; not read from file
}
-func ReadData() (data planet_data) {
- f, err := os.Open(*planet_data_file)
+func json_slurp(filename string, receptacle interface{}) error {
+ f, err := os.Open(filename)
if err != nil {
- panic(err)
+ return err
}
defer f.Close()
- err = json.NewDecoder(f).Decode(&data)
+ err = json.NewDecoder(f).Decode(receptacle)
+ if err != nil {
+ return err
+ }
+ return nil
+}
+
+func ReadData() planet_data {
+ var data planet_data
+ err := json_slurp(*planet_data_file, &data)
if err != nil {
panic(err)
}
- return
+ return data
}
/* This program operates by filling in a state table representing the best
* * Reduce the size of the Edens dimension from 3 to 2, for the
* same reasons as Fuel above. 33% savings.
* * Buy more ram. (Just sayin'. It's cheaper than you think.)
- *
+ *
*/
// The official list of dimensions:
return 0
}
-func DimensionSizes(data planet_data) []int {
+func DimensionSizes(data planet_data) LogicalIndex {
eden_capacity := data.Commodities["Eden Warp Units"].Limit
if *start_edens > eden_capacity {
eden_capacity = *start_edens
}
cloak_capacity := bint(*cloak)
- dims := make([]int, NumDimensions)
+ dims := make(LogicalIndex, NumDimensions)
dims[Edens] = eden_capacity + 1
dims[Cloaks] = cloak_capacity + 1
dims[UnusedCargo] = eden_capacity + cloak_capacity + 1
return dims
}
-func StateTableSize(dims []int) int {
+type Value int32
+type PhysicalIndex int32
+type LogicalIndex []int
+
+func StateTableSize(dims LogicalIndex) int {
product := 1
for _, size := range dims {
product *= size
}
type State struct {
- value int32
+ value Value
from PhysicalIndex
}
VALUE_RUBISH
)
-type PhysicalIndex int32
-
-func EncodeIndex(dims, addr []int) PhysicalIndex {
+func EncodeIndex(dims, addr LogicalIndex) PhysicalIndex {
index := addr[0]
if addr[0] > dims[0] {
panic(0)
return PhysicalIndex(index)
}
-func DecodeIndex(dims []int, index PhysicalIndex) []int {
+func DecodeIndex(dims LogicalIndex, index PhysicalIndex) LogicalIndex {
scratch := int(index)
- addr := make([]int, NumDimensions)
+ addr := make(LogicalIndex, NumDimensions)
for i := NumDimensions - 1; i > 0; i-- {
addr[i] = scratch % dims[i]
scratch /= dims[i]
return addr
}
-func CreateStateTable(data planet_data, dims []int) []State {
+func PlanetIndex(data planet_data, name string) int {
+ index, ok := data.p2i[name]
+ if !ok {
+ panic("Unknown planet " + name)
+ }
+ return index
+}
+
+func CommodityIndex(data planet_data, name string) int {
+ index, ok := data.c2i[name]
+ if !ok {
+ panic("Unknown commodity " + name)
+ }
+ return index
+}
+
+func CreateStateTable(data planet_data, dims LogicalIndex) []State {
table := make([]State, StateTableSize(dims))
for i := range table {
table[i].value = VALUE_UNINITIALIZED
table[i].from = FROM_UNINITIALIZED
}
- addr := make([]int, NumDimensions)
+ addr := make(LogicalIndex, NumDimensions)
addr[Fuel] = *fuel
addr[Edens] = *start_edens
- addr[Location] = data.p2i[*start]
+ addr[Location] = PlanetIndex(data, *start)
if *start_hold != "" {
- addr[Hold] = data.c2i[*start_hold]
+ addr[Hold] = CommodityIndex(data, *start_hold)
}
start_index := EncodeIndex(dims, addr)
- table[start_index].value = int32(*funds)
+ table[start_index].value = Value(*funds)
table[start_index].from = FROM_ROOT
return table
/* CellValue fills in the one cell at address addr by looking at all
* the possible ways to reach this cell and selecting the best one. */
-func Consider(data planet_data, dims []int, table []State, there []int, value_difference int, best_value *int32, best_source []int) {
+func Consider(data planet_data, dims LogicalIndex, table []State, there LogicalIndex, value_difference int, best_value *Value, best_source LogicalIndex) {
there_value := CellValue(data, dims, table, there)
- if value_difference < 0 && int32(-value_difference) > there_value {
+ if value_difference < 0 && Value(-value_difference) > there_value {
/* Can't afford this transition */
return
}
- possible_value := there_value + int32(value_difference)
+ possible_value := there_value + Value(value_difference)
if possible_value > *best_value {
*best_value = possible_value
copy(best_source, there)
var cell_filled_count int
-func CellValue(data planet_data, dims []int, table []State, addr []int) int32 {
+func CellValue(data planet_data, dims LogicalIndex, table []State, addr LogicalIndex) Value {
my_index := EncodeIndex(dims, addr)
if table[my_index].value == VALUE_BEING_EVALUATED {
panic("Circular dependency")
}
table[my_index].value = VALUE_BEING_EVALUATED
- best_value := int32(VALUE_RUBISH)
- best_source := make([]int, NumDimensions)
- other := make([]int, NumDimensions)
+ best_value := Value(VALUE_RUBISH)
+ best_source := make(LogicalIndex, NumDimensions)
+ other := make(LogicalIndex, NumDimensions)
copy(other, addr)
planet := data.i2p[addr[Location]]
other[Traded] = 1 /* Travel from states that have done trading. */
/* Travel here via a 2-fuel unit jump */
- if addr[Fuel]+2 < dims[Fuel] {
+ if data.Planets[data.i2p[addr[Location]]].BeaconOn && addr[Fuel]+2 < dims[Fuel] {
other[Fuel] = addr[Fuel] + 2
hole_index := (dims[Fuel] - 1) - (addr[Fuel] + 2)
- if hole_index >= len(flight_plan()) || addr[Location] != data.p2i[flight_plan()[hole_index]] {
+ if hole_index >= len(flight_plan()) || addr[Location] != PlanetIndex(data, flight_plan()[hole_index]) {
for other[Location] = 0; other[Location] < dims[Location]; other[Location]++ {
- if data.Planets[data.i2p[addr[Location]]].BeaconOn {
- Consider(data, dims, table, other, 0, &best_value, best_source)
- }
+ Consider(data, dims, table, other, 0, &best_value, best_source)
}
}
other[Location] = addr[Location]
/* Travel here via a 1-fuel unit jump (a hyper hole) */
if addr[Fuel]+1 < dims[Fuel] {
hole_index := (dims[Fuel] - 1) - (addr[Fuel] + 1)
- if hole_index < len(flight_plan()) && addr[Location] == data.p2i[flight_plan()[hole_index]] {
+ if hole_index < len(flight_plan()) && addr[Location] == PlanetIndex(data, flight_plan()[hole_index]) {
other[Fuel] = addr[Fuel] + 1
for other[Location] = 0; other[Location] < dims[Location]; other[Location]++ {
Consider(data, dims, table, other, 0, &best_value, best_source)
}
/* Travel here via Eden Warp Unit */
- if addr[Edens]+1 < dims[Edens] && addr[UnusedCargo] > 0 {
+ if addr[Edens]+1 < dims[Edens] && (addr[Hold] == 0 || addr[UnusedCargo] > 0) {
_, available := data.Planets[data.i2p[addr[Location]]].RelativePrices["Eden Warp Units"]
if !available {
other[Edens] = addr[Edens] + 1
return table[my_index].value
}
-func FinalState(dims []int) []int {
- addr := make([]int, NumDimensions)
+func FinalState(dims LogicalIndex) LogicalIndex {
+ addr := make(LogicalIndex, NumDimensions)
addr[Edens] = *end_edens
addr[Cloaks] = dims[Cloaks] - 1
addr[BuyFighters] = dims[BuyFighters] - 1
return addr
}
-func FindBestState(data planet_data, dims []int, table []State, addr []int) PhysicalIndex {
+func FindBestState(data planet_data, dims LogicalIndex, table []State, addr LogicalIndex) PhysicalIndex {
max_index := PhysicalIndex(-1)
max_value := 0.0
max_fuel := 1
return max_index
}
-func Commas(n int32) (s string) {
+func Commas(n Value) string {
+ var s string
if n < 0 {
panic(n)
}
n /= 1000
}
s = fmt.Sprint(r) + s
- return
+ return s
}
-func FighterAndShieldCost(data planet_data, dims []int, table []State, best PhysicalIndex) {
+func FighterAndShieldCost(data planet_data, dims LogicalIndex, table []State, best PhysicalIndex) {
if *drones == 0 && *batteries == 0 {
return
}
final_state[BuyFighters] = 0
alt_best := FindBestState(data, dims, table, final_state)
cost := table[alt_best].value - table[best].value
- fmt.Println("\rDrones were", float64(cost)/float64(*drones), "each")
+ fmt.Printf("\rDrones were %.2f each\n", float64(cost)/float64(*drones))
}
if *batteries > 0 {
final_state := FinalState(dims)
final_state[BuyShields] = 0
alt_best := FindBestState(data, dims, table, final_state)
cost := table[alt_best].value - table[best].value
- fmt.Println("\rBatteries were", float64(cost)/float64(*batteries), "each")
+ fmt.Printf("\rBatteries were %.2f each\n", float64(cost)/float64(*batteries))
}
}
-func EndEdensCost(data planet_data, dims []int, table []State, best PhysicalIndex) {
+func EndEdensCost(data planet_data, dims LogicalIndex, table []State, best PhysicalIndex) {
if *end_edens == 0 {
return
}
extra_funds := table[alt_best].value - table[best].value
fmt.Println("\rUse", extra_edens, "extra edens, make an extra",
Commas(extra_funds), "(",
- Commas(extra_funds/int32(extra_edens)), "per eden)")
+ Commas(extra_funds/Value(extra_edens)), "per eden)")
}
}
-func VisitCost(data planet_data, dims []int, table []State, best PhysicalIndex) {
+func VisitCost(data planet_data, dims LogicalIndex, table []State, best PhysicalIndex) {
if dims[Visit] == 1 {
return
}
}
}
-func EndLocationCost(data planet_data, dims []int, table []State, best PhysicalIndex) {
+func EndLocationCost(data planet_data, dims LogicalIndex, table []State, best PhysicalIndex) {
if len(end()) == 0 {
return
}
*end_string = save_end_string
}
-func DescribePath(data planet_data, dims []int, table []State, start PhysicalIndex) (description []string) {
+func DescribePath(data planet_data, dims LogicalIndex, table []State, start PhysicalIndex) []string {
+ var description []string
for index := start; table[index].from > FROM_ROOT; index = table[index].from {
if table[index].from == FROM_UNINITIALIZED {
panic(index)
}
description = append(description, fmt.Sprintf("%13v ", Commas(table[index].value))+line)
}
- return
+ return description
}
// (Example of a use case for generics in Go)
best := FindBestState(data, dims, table, final_state)
print("\n")
if best == -1 {
- print("Cannot acheive success criteria\n")
+ print("Cannot achieve success criteria\n")
return
}
description := DescribePath(data, dims, table, best)
projects / planeteer / blobdiff