generate characters with sane compile time/memory
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@@ -3,14 +3,17 @@ module horse/character
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// Automatically generated with the horsegen tool; DO NOT EDIT
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import std/core/vector
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import std/core-extras
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// Character identity.
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pub type character
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{{- range $uma := $.Characters }}
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{{ kkenum $uma.Name }}
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{{- end }}
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// The list of all characters.
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val character/all = [
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// The list of all characters in order by ID, for easy iterating.
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pub val character/all = [
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{{- range $uma := $.Characters }}
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{{ kkenum $uma.Name }},
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{{- end }}
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@@ -58,24 +61,32 @@ pub fun character/(==)(a: character, b: character): bool
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{{- end }}
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_ -> False
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inline fip fun character/index(^c: character): int
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match c
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{{- range $uma := $.Characters }}
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{{ kkenum $uma.Name }} -> {{ $uma.Index }}
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{{- end }}
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// Create the table of all pair affinities.
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// The affinity is the value at a.index*count + b.index.
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extern global/create-pair-table(): vector<int>
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c inline "kk_intx_t arr[] = { {{- range $a := $.Characters }}{{ range $b := $.Characters }}{{ index $.PairMaps $a.ID $b.ID }},{{ end }}{{ end -}} };\nkk_vector_from_cintarray(arr, (kk_ssize_t){{ $.Count }}*(kk_ssize_t){{ $.Count }}, kk_context())"
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js inline "[ {{- range $a := $.Characters }}{{ range $b := $.Characters }}{{ index $.PairMaps $a.ID $b.ID }},{{ end }}{{ end -}} ]"
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val global/pair-table = global/create-pair-table()
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// Base affinity between a pair using the global ruleset.
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pub fun global/pair-affinity(a: character, b: character): int
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match (a, b)
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{{- range $pair := $.Pairs }}
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( {{- kkenum $pair.NameA }}, {{ kkenum $pair.NameB -}} ) -> {{ $pair.Affinity }}
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{{- end }}
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// Reflexive cases are always 0.
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{{- range $uma := $.Characters }}{{ $e := kkenum $uma.Name }}
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( {{- $e }}, {{ $e -}} ) -> 0
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{{- end }}
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global/pair-table.at(a.index * {{ $.Count }} + b.index).default(0)
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// Create the table of all trio affinities.
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// The affinity is the value at a.index*count*count + b.index*count + c.index.
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extern global/create-trio-table(): vector<int>
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c inline "kk_intx_t arr[] = { {{- range $a := $.Characters }}{{ range $b := $.Characters }}{{ range $c := $.Characters }}{{ index $.TrioMaps $a.ID $b.ID $c.ID }},{{ end }}{{ end }}{{ end -}} };\nkk_vector_from_cintarray(arr, (kk_ssize_t){{ $.Count }}*(kk_ssize_t){{ $.Count }}*(kk_ssize_t){{ $.Count }}, kk_context())"
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js inline "[ {{- range $a := $.Characters }}{{ range $b := $.Characters }}{{ range $c := $.Characters }}{{ index $.TrioMaps $a.ID $b.ID $c.ID }},{{ end }}{{ end }}{{ end -}} ]"
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val global/trio-table = global/create-trio-table()
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{{/* TODO: probably use a data structure instead of hoping the compilers fix this */ -}}
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// Base affinity for a trio using the global ruleset.
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pub fun global/trio-affinity(a: character, b: character, c: character): int
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match (a, b, c)
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{{- range $trio := $.Trios }}
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( {{- kkenum $trio.NameA }}, {{ kkenum $trio.NameB }}, {{ kkenum $trio.NameC -}} ) -> {{ $trio.Affinity }}
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{{- end }}
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(_, _, _) -> 0
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global/trio-table.at(a.index * {{ $.Count }} * {{ $.Count }} + b.index * {{ $.Count }} + c.index).default(0)
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{{- end }}
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