[{"data":1,"prerenderedAt":13252},["ShallowReactive",2],{"kscript:core-concepts/collections":3},{"slug":4,"filePath":5,"frontmatter":6,"rawMarkdown":9,"tree":10},"core-concepts/collections","core-concepts/collections.md",{"title":7,"description":8},"Collections","Arrays and maps in kScript, the reducer methods that iterate them, in-place sorting with comparators, and the two limits that keep them safe.","---\ntitle: Collections\ndescription: Arrays and maps in kScript, the reducer methods that iterate them, in-place sorting with comparators, and the two limits that keep them safe.\n---\n\n\u003Cdiv class=\"flex gap-3 mb-6\">\n \u003Cspan class=\"inline-flex items-center gap-1.5 px-3 py-1 rounded-full bg-blue-50 text-blue-600 text-sm font-medium\">\n Core Concept\n \u003C/span>\n \u003Cspan class=\"inline-flex items-center gap-1.5 px-3 py-1 rounded-full bg-gray-100 text-gray-600 text-sm font-medium\">\n 5 min read\n \u003C/span>\n\u003C/div>\n\n## What you get\n\nkScript gives you two collection types and a set of functional methods to work them:\n\n- **Arrays** are ordered lists. Build them with `[...]` literals and work them with `push`, `get`, `set`, `length()`, reducers, and mutators.\n- **Maps** are key/value stores. Create one with `{}` and use `set`, `get`, and `size()`.\n- **Arrow lambdas** (`(x) => ...`) feed the array reducers (`map`, `filter`, `reduce`, `find`, `some`, `every`, `forEach`) and the optional comparator of `sort`.\n\nTogether these replace most hand-written loops. The reducers are the idiomatic way to transform a list, and they come with iteration guards built in, so a runaway transform stops loudly instead of hanging the chart. For a deeper tour of lambdas and the reducer family, see [Lambdas & Reducers](lambdas-and-reducers.md).\n\n## Quick reference\n\n```javascript\nvar xs = [1, 2, 3] // array literal\nxs.push(4) // append\nxs.get(0) // read by index\nxs.set(0, 99) // write by index\nxs.length() // count\n\nvar m = {} // map literal\nm.set(\"k\", 10) // write\nm.get(\"k\") // read\nm.size() // entry count\n\nxs.map((v) => v * 2) // transform each element\nxs.filter((v) => v > 2) // keep matching elements\nxs.reduce((sum, v) => sum + v, 0) // fold to one value\nxs.find((v) => v > 2) // first match, || na\nxs.some((v) => v > 2) // true if any match\nxs.every((v) => v > 0) // true if all match\nxs.forEach((v) => { ... }) // run a side effect per element\n\nxs.avg() // numeric reducers\nxs.sum()\nxs.median()\nxs.stdev() // population standard deviation\nxs.variance() // population variance\nxs.min()\nxs.max()\nxs.range()\n\nxs.reverse() // reverse in place and return the array\nxs.sort() // numeric ascending sort, in place, returns the array\nxs.sort((a, b) => b - a) // custom order: comparator returns a number\nxs.first() // first element\nxs.last() // last element\nxs.shift() // remove and return first element\nxs.unshift(0) // prepend\n```\n## A worked example\n\nThis script exercises the whole surface in one pass: it builds an array from the current bar's prices, mutates it, runs every reducer over it, stuffs results into a map, then sums everything into one plottable score. It is dense on purpose, as a map of what fits together.\n\n```javascript title=\"Collections happy path\"\n//@version=2\ndefine(title=\"Collections Happy Path\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\nvar prices = [trade.open, trade.high, trade.low]\nprices.push(trade.close)\nprices.set(0, prices.get(0) + barIndex / 10)\n\nvar transformed = prices.map((value, index) => value + index)\nvar filtered = transformed.filter((value) => value > trade.low)\nvar reduced = filtered.reduce((total, value) => total + value, 0)\nvar firstLarge = transformed.find((value) => value > trade.close)\nvar hasHigh = transformed.some((value) => value > trade.high)\nvar allPositive = transformed.every((value) => value > 0)\nvar sideEffectTotal = 0\ntransformed.forEach((value) => {\n sideEffectTotal += value / 1000\n})\n\nvar levels = {}\nlevels.set(\"reduced\", reduced)\nlevels.set(\"first\", nz(firstLarge, trade.close))\nlevels.set(\"flags\", (hasHigh ? 1 : 0) + (allPositive ? 1 : 0))\n\nvar score = levels.get(\"reduced\") + levels.get(\"first\") + levels.get(\"flags\") + prices.length() + levels.size() + sideEffectTotal\n\nplotLine(value=score, colors=[\"#2563eb\"], width=2, label=[\"Collection score\"], desc=[\"arrays maps lambdas and reducers\"])\n```\n\nA few idioms worth lifting out of that wall:\n\n- `prices.set(0, prices.get(0) + barIndex / 10)` reads, modifies, and writes one slot in place.\n- `nz(firstLarge, trade.close)` matters because `find` returns `na` when nothing matches; `nz` supplies a fallback so the arithmetic stays finite. See [na and Color](na-and-scalar-types.md).\n- The `(value, index)` lambda in `map` shows the optional index parameter; drop it when you don't need it.\n\nWhat you'll see: one line whose value moves every bar, since `prices` is rebuilt from live OHLC and `barIndex` feeds into it.\n\n## Numeric reducers and manipulators\n\nNumeric arrays expose `avg`, `sum`, `median`, `stdev`, `variance`, `min`, `max`, and `range`. The statistics use population math: `variance()` divides by `n`, and `stdev()` is the square root of that population variance. Empty-array reducers return `na`. Arrays also expose `reverse`, `first`, `last`, `shift`, and `unshift` for common positional edits.\n\n```javascript title=\"Array reducers and manipulators\"\n//@version=2\ndefine(title=\"Array Reducers Manipulators\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\nvar values = [1, 2, 3, 4]\nvar reducerScore = values.avg() + values.sum() + values.median() + values.stdev() + values.variance() + values.min() + values.max() + values.range()\n\nvar reversed = values.reverse()\nvar shifted = reversed.shift()\nreversed.unshift(trade.close)\nvar manipulatorScore = shifted + reversed.first() + reversed.last() + reversed.length()\n\nvar empty = []\nvar emptyScore = (isna(empty.avg()) ? 1 : 0) + (isna(empty.sum()) ? 1 : 0) + (isna(empty.median()) ? 1 : 0) + (isna(empty.stdev()) ? 1 : 0) + (isna(empty.variance()) ? 1 : 0) + (isna(empty.min()) ? 1 : 0) + (isna(empty.max()) ? 1 : 0) + (isna(empty.range()) ? 1 : 0)\n\nplotLine(value=reducerScore + barIndex / 1000, colors=[\"#2563eb\"], width=2, label=[\"Reducers\"], desc=[\"array numeric reducers use population statistics\"])\nplotLine(value=manipulatorScore, colors=[\"#16a34a\"], width=2, label=[\"Manipulators\"], desc=[\"reverse first last shift and unshift mutate or read arrays\"])\nplotLine(value=emptyScore + barIndex / 1000, colors=[\"#dc2626\"], width=2, label=[\"Empty\"], desc=[\"empty array reducers return na\"])\n```\n\n## Sorting\n\n`sort()` orders an array **in place** and returns it. With no argument the order is **numeric ascending**: `[30, 4, 100, 25]` comes out `[4, 25, 30, 100]`. That is a true numeric sort, not JavaScript's default lexicographic one, which would put `100` first.\n\nThe examples in this section are self-checking: each counts failed expectations and detonates a deliberate runtime error if any assertion misses, so a script that runs at all is proof of the values in its comments.\n\n```javascript title=\"Argless sort is numeric ascending\"\n//@version=3\ndefine(title=\"Sort Argless Ascending\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\n// Argless sort() is NUMERIC ascending (a JS-default lexicographic sort would\n// yield [100, 25, 30, 4]; kScript must yield [4, 25, 30, 100]) and sorts in place.\nvar xs = [30, 4, 100, 25]\nxs.sort()\n\nvar failures = 0\nfailures += xs.get(0) == 4 ? 0 : 1\nfailures += xs.get(1) == 25 ? 0 : 1\nfailures += xs.get(2) == 30 ? 0 : 1\nfailures += xs.get(3) == 100 ? 0 : 1\nfailures += xs.length() == 4 ? 0 : 1\n\nif (failures > 0) {\n var bomb = [1]\n bomb.removeAt(9)\n}\n\nplotLine(value=xs.first() + barIndex / 1000, colors=[\"#2563eb\"], width=2, label=[\"Sorted min\"], desc=[\"first element after argless numeric ascending sort\"])\n```\n\nSorting is not v3-gated: the identical body under `//@version=2` compiles and runs with the identical result.\n\n### Comparators\n\n`sort` takes at most one argument, an arrow lambda `(a, b) => number` in the JavaScript convention: a **negative** return puts `a` first, a **positive** return puts `b` first. So `(a, b) => a - b` is ascending and `(a, b) => b - a` is descending. The comparator is an ordinary lambda (syntax and closures in [Lambdas & Reducers](lambdas-and-reducers.md)); what is special is the contract on its return value, enforced at compile time and again at run time (see the rejection list below).\n\n```javascript title=\"Descending comparator, and sorting a copy\"\n//@version=3\ndefine(title=\"Sort Comparator Descending\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\n// The JS-idiom comparator: (a, b) => number. Negative = a first, positive = b first.\n// (a, b) => b - a is descending.\nvar xs = [5, 1, 4, 2]\nxs.sort((a, b) => b - a)\n\nvar failures = 0\nfailures += xs.get(0) == 5 ? 0 : 1\nfailures += xs.get(1) == 4 ? 0 : 1\nfailures += xs.get(2) == 2 ? 0 : 1\nfailures += xs.get(3) == 1 ? 0 : 1\n\n// copy-then-sort idiom (sort is in-place; slice() makes the copy)\nvar ys = [3, 1, 2]\nvar sortedCopy = ys.slice(0, ys.length()).sort((a, b) => a - b)\nfailures += ys.get(0) == 3 ? 0 : 1\nfailures += sortedCopy.get(0) == 1 ? 0 : 1\nfailures += sortedCopy.get(2) == 3 ? 0 : 1\n\nif (failures > 0) {\n var bomb = [1]\n bomb.removeAt(9)\n}\n\nplotLine(value=xs.first() + trade.close / 1000, colors=[\"#2563eb\"], width=2, label=[\"Desc first\"], desc=[\"largest element after descending comparator sort\"])\n```\n\nTwo idioms worth lifting out:\n\n- `(a, b) => b - a` turns `[5, 1, 4, 2]` into `[5, 4, 2, 1]`.\n- `sort` mutates the receiver, so sorting a **copy** is spelled `ys.slice(0, ys.length()).sort(...)`: the `slice` makes the snapshot, and the original `ys` still starts with `3` afterwards.\n\n### Structs sort by any field, stably\n\nTo order a struct array, return the numeric difference of the field you care about. The sort is **stable**: elements that compare equal keep their original relative order. Below, the two `price=1` rows keep their original sequence (`seq` 2 then 4) and the two `price=2` rows keep 1 then 3.\n\n```javascript title=\"Stable sort of structs by a field\"\n//@version=3\ndefine(title=\"Sort Structs Stable\", position=\"offchart\", axis=true)\n\ntype Level {\n price: number\n seq: number\n}\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\n// Comparator sort over a struct array: order by any field.\n// Duplicate keys prove stability (equal elements keep their original relative order).\nvar levels = [Level.new(price=2, seq=1), Level.new(price=1, seq=2), Level.new(price=2, seq=3), Level.new(price=1, seq=4)]\nlevels.sort((a, b) => a.price - b.price)\n\nvar failures = 0\nfailures += levels.get(0).price == 1 ? 0 : 1\nfailures += levels.get(1).price == 1 ? 0 : 1\nfailures += levels.get(2).price == 2 ? 0 : 1\nfailures += levels.get(3).price == 2 ? 0 : 1\n// stability: within equal prices, seq order 2,4 and 1,3 is preserved\nfailures += levels.get(0).seq == 2 ? 0 : 1\nfailures += levels.get(1).seq == 4 ? 0 : 1\nfailures += levels.get(2).seq == 1 ? 0 : 1\nfailures += levels.get(3).seq == 3 ? 0 : 1\n\nif (failures > 0) {\n var bomb = [1]\n bomb.removeAt(9)\n}\n\nplotLine(value=levels.get(0).seq + trade.close / 1000, colors=[\"#16a34a\"], width=2, label=[\"Stable seq\"], desc=[\"seq of first struct after stable sort by price\"])\n```\n\n### In place, plus a chainable return\n\nThe receiver itself is reordered, and the return value is there so calls chain: `ys.sort().first()` is the minimum, and `zs.sort((a, b) => b - a).first()` is the maximum. The return is **not** an alias, though. kScript array assignment always copies (a plain `var alias = xs` followed by `alias.push(99)` leaves `xs` at its old length), so `var ret = xs.sort()` snapshots an independent copy: `ret.push(99)` grows `ret` to 4 while `xs` stays at 3.\n\n```javascript title=\"In place, chaining, and the copied return\"\n//@version=3\ndefine(title=\"Sort In Place Returns Array\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\nvar failures = 0\n\n// sort() mutates the RECEIVER in place; the return value lets calls chain.\nvar xs = [3, 1, 2]\nvar ret = xs.sort()\nfailures += xs.get(0) == 1 ? 0 : 1\nfailures += xs.get(1) == 2 ? 0 : 1\nfailures += xs.get(2) == 3 ? 0 : 1\n\n// kScript array ASSIGNMENT copies (true of any array assignment, not sort-specific):\n// the assigned return is an independent snapshot, so mutating it leaves xs alone.\nret.push(99)\nfailures += ret.length() == 4 ? 0 : 1\nfailures += xs.length() == 3 ? 0 : 1\n\n// returning the array is what makes chaining work\nvar ys = [9, 7, 8]\nvar lowest = ys.sort().first()\nfailures += lowest == 7 ? 0 : 1\nfailures += ys.get(0) == 7 ? 0 : 1\n\n// comparator form is equally in-place and chainable\nvar zs = [1, 3, 2]\nvar top = zs.sort((a, b) => b - a).first()\nfailures += top == 3 ? 0 : 1\nfailures += zs.get(0) == 3 ? 0 : 1\nfailures += zs.get(2) == 1 ? 0 : 1\n\nif (failures > 0) {\n var bomb = [1]\n bomb.removeAt(9)\n}\n\nplotLine(value=lowest + top + trade.close / 1000, colors=[\"#2563eb\"], width=2, label=[\"Chain score\"], desc=[\"chained sort().first() results plus close drift\"])\n```\n\n### Strings have no built-in ordering\n\n`\u003C` and `>` compile on strings but are not an ordering: `\"a\" \u003C \"b\"`, `\"b\" \u003C \"a\"`, `\"a\" > \"b\"`, and `\"b\" > \"a\"` all evaluate `false`. A comparator like `(a, b) => a \u003C b ? -1 : 1` therefore returns `1` for every pair and scrambles the array instead of sorting it: `[\"ccc\", \"a\", \"bb\"]` comes back `[\"bb\", \"a\", \"ccc\"]`. Order strings by deriving a **numeric** key instead, here by length:\n\n```javascript title=\"Sort strings by a numeric key\"\n//@version=3\ndefine(title=\"Sort Strings Comparator\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\n// Non-numeric elements sort fine when the comparator DERIVES a number.\n// (There is no lexicographic ordering: '\u003C' on strings is not an ordering in\n// kScript, so order strings by a numeric key such as length().)\nvar ss = [\"ccc\", \"a\", \"bb\"]\nss.sort((a, b) => a.length() - b.length())\n\nvar failures = 0\nfailures += ss.get(0) == \"a\" ? 0 : 1\nfailures += ss.get(1) == \"bb\" ? 0 : 1\nfailures += ss.get(2) == \"ccc\" ? 0 : 1\n\nif (failures > 0) {\n var bomb = [1]\n bomb.removeAt(9)\n}\n\nplotLine(value=ss.get(0).length() + barIndex / 100, colors=[\"#2563eb\"], width=2, label=[\"Shortest len\"], desc=[\"length of shortest string after keyed sort\"])\n```\n\n### na elements\n\nArgless sort treats `na` as equal to everything: an array containing `na` does not throw, but how much of it actually gets sorted depends on where the `na` sits. `[3, na, 1]` comes back exactly `[3, na, 1]`, silently unsorted, yet the same values as `[3, 1, na]` come back `[1, 3, na]`, and `[5, 2, na, 4, 1]` comes back fully sorted as `[1, 2, 4, 5, na]`. Treat the result as **unreliable**, not merely unsorted.\n\n```javascript title=\"Argless sort with na is position-dependent\"\n//@version=3\ndefine(title=\"Sort Argless With Na\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\n// Argless sort with an na element does NOT throw, but every comparison against\n// na reports \"equal\", so the outcome depends on where the na sits:\n// [3, na, 1] comes back UNCHANGED, yet [3, 1, na] comes back [1, 3, na].\nvar xs = [3, na, 1]\nxs.sort()\n\nvar failures = 0\nfailures += xs.length() == 3 ? 0 : 1\nfailures += xs.get(0) == 3 ? 0 : 1\nfailures += isna(xs.get(1)) ? 0 : 1\nfailures += xs.get(2) == 1 ? 0 : 1\nvar naCount = xs.reduce((acc, v) => acc + (isna(v) ? 1 : 0), 0)\nfailures += naCount == 1 ? 0 : 1\n\nvar ys = [3, 1, na]\nys.sort()\nfailures += ys.get(0) == 1 ? 0 : 1\nfailures += ys.get(1) == 3 ? 0 : 1\nfailures += isna(ys.get(2)) ? 0 : 1\n\nif (failures > 0) {\n var bomb = [1]\n bomb.removeAt(9)\n}\n\nplotLine(value=xs.get(0) + trade.close / 1000, colors=[\"#d97706\"], width=2, label=[\"Unsorted head\"], desc=[\"argless sort with na is position dependent not a no-op\"])\n```\n\n{% hint style=\"warning\" %}\n**A comparator does not get the same pass.** With `[1, na, 2]`, the comparator `(a, b) => a - b` produces `na`, and the run stops with `Array method 'sort' comparator must return a finite number`. Strip `na` values (for example with `filter`) before a comparator sort.\n\n{% endhint %}\n\n### What sort rejects\n\nThe compile-time contract: the argument must be a lambda, at most one of them, returning a number. The classic JavaScript habit of returning a boolean is the first thing it catches:\n\n```javascript title=\"Boolean comparator boundary\"\n//@version=3\ndefine(title=\"Sort Reject Bool Comparator\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\n// EXPECTED COMPILE FAILURE: the JS habit (a, b) => a > b returns a boolean.\n// kScript rejects it at compile time; the comparator must return a number.\nvar xs = [3, 1, 2]\nxs.sort((a, b) => a > b)\n\nplotLine(value=trade.close, colors=[\"#dc2626\"], width=2, label=[\"Close\"], desc=[\"anchor for bool comparator rejection\"])\n```\n\nThis fails to compile with `Array method 'sort' comparator must return a number, got boolean at 9:1`. Return `a - b`, not `a > b`. The full rejection list, with observed errors:\n\n- A comparator returning a string, `xs.sort((a, b) => \"x\")`: fails to compile with `Array method 'sort' comparator must return a number, got string at 8:1`.\n- A non-lambda argument, `xs.sort(1)`: `Array method 'sort' expects a lambda callback at 8:9`.\n- Two arguments, `xs.sort((a, b) => a - b, 1)`: `Array method 'sort' expects 0-1 arguments, got 2 at 8:1`.\n- A comparator producing a non-finite number at run time, `xs.sort((a, b) => (b - a) / 0)`: compiles, then the run stops with `Array method 'sort' comparator must return a finite number`.\n- A mixed return type that evades the static check, `xs.sort((a, b) => a \u003C b ? -1 : \"x\")` (static type `number|string`): the same runtime guard fires, `Array method 'sort' comparator must return a finite number`.\n\n## The two limits\n\nCollections are bounded so a script can't exhaust memory or silently mis-type a list.\n\n### Size ceiling: 100,000 elements\n\nA single collection tops out at 100,000 elements. Push past it and the run stops with `Collection size limit exceeded at 9:5 (max 100000)`, pointing at the offending line. In practice you only hit this by accident, usually an unbounded `push` in a loop.\n\n```javascript title=\"Collection size boundary\"\n//@version=2\ndefine(title=\"Collection Size Boundary\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\n\nif (isLastBar) {\n var values = []\n for (var n = 0; n \u003C 100001; n += 1) {\n values.push(n)\n }\n}\n\nplotLine(value=trade.close, colors=[\"#dc2626\"], width=2, label=[\"Close\"], desc=[\"anchor for collection size boundary\"])\n```\n\n### Arrays are typed\n\nAn array has one element type, inferred from how you first fill it. Mixing types is rejected at compile time. Here a numeric array gets a string pushed onto it:\n\n```javascript title=\"Array type mismatch\"\n//@version=2\ndefine(title=\"Array Type Mismatch Boundary\", position=\"offchart\", axis=true)\n\ntimeseries trade = ohlcv(symbol=currentSymbol, exchange=currentExchange)\nvar values = [1, 2, 3]\nvalues.push(\"not a number\")\n\nplotLine(value=trade.close, colors=[\"#dc2626\"], width=2, label=[\"Close\"], desc=[\"anchor for array type mismatch boundary\"])\n```\n\nThis fails to compile with `Array element type mismatch: expected number, got string at 6:13`. The takeaway: keep an array homogeneous. 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