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synced 2026-04-22 01:03:01 +02:00
Fixed documentation typos in v0.47.0
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@@ -1,4 +1,10 @@
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// Calculate a script's RAM usage
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/**
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* Implements RAM Calculation functionality.
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*
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* Uses the acorn.js library to parse a script's code into an AST and
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* recursively walk through that AST, calculating RAM usage along
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* the way
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*/
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import * as walk from "acorn-walk";
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import { RamCalculationErrorCode } from "./RamCalculationErrorCodes";
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@@ -15,19 +21,26 @@ const specialReferenceWHILE = "__SPECIAL_referenceWhile";
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// The global scope of a script is registered under this key during parsing.
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const memCheckGlobalKey = ".__GLOBAL__";
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// Calcluates the amount of RAM a script uses. Uses parsing and AST walking only,
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// rather than NetscriptEvaluator. This is useful because NetscriptJS code does
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// not work under NetscriptEvaluator.
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/**
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* Parses code into an AST and walks through it recursively to calculate
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* RAM usage. Also accounts for imported modules.
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* @param {Script[]} otherScripts - All other scripts on the server. Used to account for imported scripts
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* @param {string} codeCopy - The code being parsed
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* @param {WorkerScript} workerScript - Object containing RAM costs of Netscript functions. Also used to
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* keep track of what functions have/havent been accounted for
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*/
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async function parseOnlyRamCalculate(otherScripts, code, workerScript) {
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try {
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// Maps dependent identifiers to their dependencies.
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//
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// The initial identifier is __SPECIAL_INITIAL_MODULE__.__GLOBAL__.
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// It depends on all the functions declared in the module, all the global scopes
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// of its imports, and any identifiers referenced in this global scope. Each
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// function depends on all the identifiers referenced internally.
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// We walk the dependency graph to calculate RAM usage, given that some identifiers
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// reference Netscript functions which have a RAM cost.
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/**
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* Maps dependent identifiers to their dependencies.
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*
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* The initial identifier is __SPECIAL_INITIAL_MODULE__.__GLOBAL__.
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* It depends on all the functions declared in the module, all the global scopes
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* of its imports, and any identifiers referenced in this global scope. Each
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* function depends on all the identifiers referenced internally.
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* We walk the dependency graph to calculate RAM usage, given that some identifiers
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* reference Netscript functions which have a RAM cost.
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*/
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let dependencyMap = {};
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// Scripts we've parsed.
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@@ -48,19 +61,20 @@ async function parseOnlyRamCalculate(otherScripts, code, workerScript) {
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}
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}
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// Splice all the references in.
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//Spread syntax not supported in edge, use Object.assign instead
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//dependencyMap = {...dependencyMap, ...result.dependencyMap};
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// Splice all the references in
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dependencyMap = Object.assign(dependencyMap, result.dependencyMap);
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}
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// Parse the initial module, which is the "main" script that is being run
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const initialModule = "__SPECIAL_INITIAL_MODULE__";
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parseCode(code, initialModule);
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// Process additional modules, which occurs if the "main" script has any imports
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while (parseQueue.length > 0) {
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// Get the code from the server.
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const nextModule = parseQueue.shift();
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// Additional modules can either be imported from the web (in which case we use
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// a dynamic import), or from other in-game scripts
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let code;
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if (nextModule.startsWith("https://") || nextModule.startsWith("http://")) {
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try {
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@@ -91,7 +105,7 @@ async function parseOnlyRamCalculate(otherScripts, code, workerScript) {
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}
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if (script == null) {
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return RamCalculationErrorCode.ImportError; // No such script on the server
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return RamCalculationErrorCode.ImportError; // No such script on the server
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}
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code = script.code;
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@@ -136,10 +150,8 @@ async function parseOnlyRamCalculate(otherScripts, code, workerScript) {
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}
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}
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// Check if this identifier is a function in the workerscript env.
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// Check if this identifier is a function in the workerScript environment.
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// If it is, then we need to get its RAM cost.
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//
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// TODO it would be simpler to just reference a dictionary.
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try {
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function applyFuncRam(func) {
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if (typeof func === "function") {
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@@ -170,7 +182,7 @@ async function parseOnlyRamCalculate(otherScripts, code, workerScript) {
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workerScript.loadedFns[ref] = true;
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}
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// This accounts for namespaces (Bladeburner, CodingCOntract)
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// This accounts for namespaces (Bladeburner, CodingCpntract, etc.)
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let func;
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if (ref in workerScript.env.vars.bladeburner) {
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func = workerScript.env.vars.bladeburner[ref];
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@@ -196,9 +208,12 @@ async function parseOnlyRamCalculate(otherScripts, code, workerScript) {
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}
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}
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// Parses one script and calculates its ram usage, for the global scope and each function.
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// Returns a cost map and a dependencyMap for the module. Returns a reference map to be joined
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// onto the main reference map, and a list of modules that need to be parsed.
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/**
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* Helper function that parses a single script. It returns a map of all dependencies,
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* which are items in the code's AST that potentially need to be evaluated
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* for RAM usage calculations. It also returns an array of additional modules
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* that need to be parsed (i.e. are 'import'ed scripts).
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*/
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function parseOnlyCalculateDeps(code, currentModule) {
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const ast = parse(code, {sourceType:"module", ecmaVersion: 8});
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@@ -296,6 +311,12 @@ function parseOnlyCalculateDeps(code, currentModule) {
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return {dependencyMap: dependencyMap, additionalModules: additionalModules};
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}
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/**
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* Calculate's a scripts RAM Usage
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* @param {string} codeCopy - The script's code
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* @param {Script[]} otherScripts - All other scripts on the server.
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* Used to account for imported scripts
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*/
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export async function calculateRamUsage(codeCopy, otherScripts) {
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// We don't need a real WorkerScript for this. Just an object that keeps
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// track of whatever's needed for RAM calculations
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