/** Generated by scripts/generate_cli_localization.mjs. Do not edit. */
import {
message_0,
message_1,
message_2,
message_3,
message_4,
} from "std/cli/localization/models/lora_plan/part_0"
import {
message_5,
message_6,
message_7,
message_8,
message_9,
} from "std/cli/localization/models/lora_plan/part_1"
import {
message_50,
message_51,
message_52,
message_53,
message_54,
} from "std/cli/localization/models/lora_plan/part_10"
import {
message_55,
message_56,
message_57,
message_58,
message_59,
} from "std/cli/localization/models/lora_plan/part_11"
import {
message_60,
message_61,
message_62,
message_63,
message_64,
} from "std/cli/localization/models/lora_plan/part_12"
import {
message_65,
message_66,
message_67,
message_68,
message_69,
} from "std/cli/localization/models/lora_plan/part_13"
import {
message_10,
message_11,
message_12,
message_13,
message_14,
} from "std/cli/localization/models/lora_plan/part_2"
import {
message_15,
message_16,
message_17,
message_18,
message_19,
} from "std/cli/localization/models/lora_plan/part_3"
import {
message_20,
message_21,
message_22,
message_23,
message_24,
} from "std/cli/localization/models/lora_plan/part_4"
import {
message_25,
message_26,
message_27,
message_28,
message_29,
} from "std/cli/localization/models/lora_plan/part_5"
import {
message_30,
message_31,
message_32,
message_33,
message_34,
} from "std/cli/localization/models/lora_plan/part_6"
import {
message_35,
message_36,
message_37,
message_38,
message_39,
} from "std/cli/localization/models/lora_plan/part_7"
import {
message_40,
message_41,
message_42,
message_43,
message_44,
} from "std/cli/localization/models/lora_plan/part_8"
import {
message_45,
message_46,
message_47,
message_48,
message_49,
} from "std/cli/localization/models/lora_plan/part_9"
/**
* Select a registered CLI template without interpreting argument text.
* @effects: []
* @errors: ["Unregistered CLI localization message", "CLI localization argument count does not match its registered template"]
*/
pub fn cli_message(locale: string, source: string, values: list<string>) -> string {
if source == " LoRA hparams: rank={0} alpha={1} dropout={2}" {
return message_0(locale, values)
}
if source == " LoRA module format: {0}" {
return message_1(locale, values)
}
if source == " adapter binding: {0}" {
return message_2(locale, values)
}
if source == " adapter precision: {0}" {
return message_3(locale, values)
}
if source == " assistant mask: {0}" {
return message_4(locale, values)
}
if source == " base selector: {0}" {
return message_5(locale, values)
}
if source == " comparison baseline: {0}" {
return message_6(locale, values)
}
if source == " corpus strategy: {0} (requested {1})" {
return message_7(locale, values)
}
if source == " corpus: {0}" {
return message_8(locale, values)
}
if source == " dataset format: {0}" {
return message_9(locale, values)
}
if source == " holdout policy: {0}" {
return message_10(locale, values)
}
if source == " loss scope: {0}" {
return message_11(locale, values)
}
if source == " minimum trials: {0}" {
return message_12(locale, values)
}
if source == " model-aware selection: {0}" {
return message_13(locale, values)
}
if source == " native tools: {0}, preferred: {1}" {
return message_14(locale, values)
}
if source == " packing: {0}" {
return message_15(locale, values)
}
if source == " parser owner: {0}" {
return message_16(locale, values)
}
if source == " precision policy: {0}" {
return message_17(locale, values)
}
if source == " promotion id: {0}" {
return message_18(locale, values)
}
if source == " quantization: {0}" {
return message_19(locale, values)
}
if source == " request model: {0}" {
return message_20(locale, values)
}
if source == " serving base precision: {0}" {
return message_21(locale, values)
}
if source == " split policy: {0}" {
return message_22(locale, values)
}
if source == " supervised target: {0}" {
return message_23(locale, values)
}
if source == " target module policy: {0}" {
return message_24(locale, values)
}
if source == " target modules: {0}" {
return message_25(locale, values)
}
if source == " teacher: {0} via {1}" {
return message_26(locale, values)
}
if source == " template source: {0}" {
return message_27(locale, values)
}
if source == " template: {0}" {
return message_28(locale, values)
}
if source == " tool format correction: {0}" {
return message_29(locale, values)
}
if source == " tool format: {0} (requested {1})" {
return message_30(locale, values)
}
if source == " trainer: {0}" {
return message_31(locale, values)
}
if source == " training base precision: {0}" {
return message_32(locale, values)
}
if source == " training compute precision: {0}" {
return message_33(locale, values)
}
if source == " training: {0} + {1}" {
return message_34(locale, values)
}
if source == " warning: {0}" {
return message_35(locale, values)
}
if source == "LoRA plan for {0} via {1}" {
return message_36(locale, values)
}
if source == "batch eval manifest" {
return message_37(locale, values)
}
if source == "batch group by" {
return message_38(locale, values)
}
if source == "collect promotion receipt" {
return message_39(locale, values)
}
if source == "corpus gates" {
return message_40(locale, values)
}
if source == "corpus refresh" {
return message_41(locale, values)
}
if source == "data validation" {
return message_42(locale, values)
}
if source == "difficulty signals" {
return message_43(locale, values)
}
if source == "eval" {
return message_44(locale, values)
}
if source == "eval gates" {
return message_45(locale, values)
}
if source == "export dataset" {
return message_46(locale, values)
}
if source == "hard negatives" {
return message_47(locale, values)
}
if source == "inspect adapter" {
return message_48(locale, values)
}
if source == "local launch" {
return message_49(locale, values)
}
if source == "no" {
return message_50(locale, values)
}
if source == "optional batch receipts" {
return message_51(locale, values)
}
if source == "precision gates" {
return message_52(locale, values)
}
if source == "preflight corpus" {
return message_53(locale, values)
}
if source == "promotion gates" {
return message_54(locale, values)
}
if source == "provenance manifest" {
return message_55(locale, values)
}
if source == "refinement loop" {
return message_56(locale, values)
}
if source == "required columns" {
return message_57(locale, values)
}
if source == "required metrics" {
return message_58(locale, values)
}
if source == "required receipts" {
return message_59(locale, values)
}
if source == "sampling policy" {
return message_60(locale, values)
}
if source == "selection stop conditions" {
return message_61(locale, values)
}
if source == "serving notes" {
return message_62(locale, values)
}
if source == "stop sequences" {
return message_63(locale, values)
}
if source == "template notes" {
return message_64(locale, values)
}
if source == "template requirements" {
return message_65(locale, values)
}
if source == "train adapter" {
return message_66(locale, values)
}
if source == "trainer contract" {
return message_67(locale, values)
}
if source == "training notes" {
return message_68(locale, values)
}
if source == "yes" {
return message_69(locale, values)
}
throw "Unregistered CLI localization message"
}