Perf: new timsort

Build/lib/stable-sort-domain.ts

@@ -1,5 +1,5 @@
 import type { PublicSuffixList } from '@gorhill/publicsuffixlist';
-import { sort } from 'timsort';
+import { sort } from './timsort';
 
 const compare = (a: string, b: string) => {
   if (a === b) return 0;
@@ -42,10 +42,10 @@ export const sortDomains = (inputs: string[], gorhill: PublicSuffixList) => {
     const $a = domains.get(a);
     const $b = domains.get(b);
 
-    if ($a && $b) {
-      return compare($a, $b) || compare(a, b);
+    if ($a == null || $b == null) {
+      return compare(a, b);
     }
-    return compare(a, b);
+    return compare($a, $b) || compare(a, b);
   };
 
   sort(inputs, sorter);

Build/lib/timsort.ts

@@ -0,0 +1,954 @@
+type Comparator<T> = (a: T, b: T) => number;
+
+/**
+ * Default minimum size of a run.
+ */
+const DEFAULT_MIN_MERGE = 32;
+
+/**
+ * Minimum ordered subsequece required to do galloping.
+ */
+const DEFAULT_MIN_GALLOPING = 7;
+
+/**
+ * Default tmp storage length. Can increase depending on the size of the
+ * smallest run to merge.
+ */
+const DEFAULT_TMP_STORAGE_LENGTH = 256;
+
+/**
+ * Pre-computed powers of 10 for efficient lexicographic comparison of
+ * small integers.
+ */
+const POWERS_OF_TEN = [1e0, 1e1, 1e2, 1e3, 1e4, 1e5, 1e6, 1e7, 1e8, 1e9];
+
+/**
+ * Estimate the logarithm base 10 of a small integer.
+ *
+ * @param x - The integer to estimate the logarithm of.
+ * @return {number} - The estimated logarithm of the integer.
+ */
+function log10(x: number): number {
+  if (x < 1e5) {
+    if (x < 1e2) {
+      return x < 1e1 ? 0 : 1;
+    }
+
+    if (x < 1e4) {
+      return x < 1e3 ? 2 : 3;
+    }
+
+    return 4;
+  }
+
+  if (x < 1e7) {
+    return x < 1e6 ? 5 : 6;
+  }
+
+  if (x < 1e9) {
+    return x < 1e8 ? 7 : 8;
+  }
+
+  return 9;
+}
+
+/**
+ * Default alphabetical comparison of items.
+ *
+ * @param a - First element to compare.
+ * @param b - Second element to compare.
+ * @return - A positive number if a.toString() > b.toString(), a
+ * negative number if .toString() < b.toString(), 0 otherwise.
+ */
+function alphabeticalCompare(a: any, b: any): number {
+  if (a === b) {
+    return 0;
+  }
+
+  if (~~a === a && ~~b === b) {
+    if (a === 0 || b === 0) {
+      return a < b ? -1 : 1;
+    }
+
+    if (a < 0 || b < 0) {
+      if (b >= 0) {
+        return -1;
+      }
+
+      if (a >= 0) {
+        return 1;
+      }
+
+      a = -a;
+      b = -b;
+    }
+
+    const al = log10(a);
+    const bl = log10(b);
+
+    let t = 0;
+
+    if (al < bl) {
+      a *= POWERS_OF_TEN[bl - al - 1];
+      b /= 10;
+      t = -1;
+    } else if (al > bl) {
+      b *= POWERS_OF_TEN[al - bl - 1];
+      a /= 10;
+      t = 1;
+    }
+
+    if (a === b) {
+      return t;
+    }
+
+    return a < b ? -1 : 1;
+  }
+
+  const aStr = String(a);
+  const bStr = String(b);
+
+  if (aStr === bStr) {
+    return 0;
+  }
+
+  return aStr < bStr ? -1 : 1;
+}
+
+/**
+ * Compute minimum run length for TimSort
+ *
+ * @param n - The size of the array to sort.
+ */
+function minRunLength(n: number) {
+  let r = 0;
+
+  while (n >= DEFAULT_MIN_MERGE) {
+    r |= (n & 1);
+    n >>= 1;
+  }
+
+  return n + r;
+}
+
+/**
+ * Counts the length of a monotonically ascending or strictly monotonically
+ * descending sequence (run) starting at array[lo] in the range [lo, hi). If
+ * the run is descending it is made ascending.
+ *
+ * @param array - The array to reverse.
+ * @param lo - First element in the range (inclusive).
+ * @param hi - Last element in the range.
+ * @param compare - Item comparison function.
+ * @return - The length of the run.
+ */
+function makeAscendingRun<T>(array: T[], lo: number, hi: number, compare: Comparator<T>): number {
+  let runHi = lo + 1;
+
+  if (runHi === hi) {
+    return 1;
+  }
+
+  // Descending
+  if (compare(array[runHi++], array[lo]) < 0) {
+    while (runHi < hi && compare(array[runHi], array[runHi - 1]) < 0) {
+      runHi++;
+    }
+
+    reverseRun(array, lo, runHi);
+    // Ascending
+  } else {
+    while (runHi < hi && compare(array[runHi], array[runHi - 1]) >= 0) {
+      runHi++;
+    }
+  }
+
+  return runHi - lo;
+}
+
+/**
+ * Reverse an array in the range [lo, hi).
+ *
+ * @param array - The array to reverse.
+ * @param lo - First element in the range (inclusive).
+ * @param hi - Last element in the range.
+ */
+function reverseRun<T>(array: T[], lo: number, hi: number) {
+  hi--;
+
+  while (lo < hi) {
+    const t = array[lo];
+    array[lo++] = array[hi];
+    array[hi--] = t;
+  }
+}
+
+/**
+ * Perform the binary sort of the array in the range [lo, hi) where start is
+ * the first element possibly out of order.
+ *
+ * @param array - The array to sort.
+ * @param lo - First element in the range (inclusive).
+ * @param hi - Last element in the range.
+ * @param start - First element possibly out of order.
+ * @param compare - Item comparison function.
+ */
+function binaryInsertionSort<T>(array: T[], lo: number, hi: number, start: number, compare: Comparator<T>) {
+  if (start === lo) {
+    start++;
+  }
+
+  for (; start < hi; start++) {
+    const pivot = array[start];
+
+    // Ranges of the array where pivot belongs
+    let left = lo;
+    let right = start;
+
+    /*
+     *   pivot >= array[i] for i in [lo, left)
+     *   pivot <  array[i] for i in  in [right, start)
+     */
+    while (left < right) {
+      const mid = (left + right) >>> 1;
+
+      if (compare(pivot, array[mid]) < 0) {
+        right = mid;
+      } else {
+        left = mid + 1;
+      }
+    }
+
+    /*
+     * Move elements right to make room for the pivot. If there are elements
+     * equal to pivot, left points to the first slot after them: this is also
+     * a reason for which TimSort is stable
+     */
+    let n = start - left;
+    // Switch is just an optimization for small arrays
+    switch (n) {
+      case 3:
+        array[left + 3] = array[left + 2];
+      /* falls through */
+      case 2:
+        array[left + 2] = array[left + 1];
+      /* falls through */
+      case 1:
+        array[left + 1] = array[left];
+        break;
+      default:
+        while (n > 0) {
+          array[left + n] = array[left + n - 1];
+          n--;
+        }
+    }
+
+    array[left] = pivot;
+  }
+}
+
+/**
+ * Find the position at which to insert a value in a sorted range. If the range
+ * contains elements equal to the value the leftmost element index is returned
+ * (for stability).
+ *
+ * @param value - Value to insert.
+ * @param array - The array in which to insert value.
+ * @param start - First element in the range.
+ * @param length - Length of the range.
+ * @param hint - The index at which to begin the search.
+ * @param compare - Item comparison function.
+ * @return - The index where to insert value.
+ */
+function gallopLeft<T>(value: T, array: T[], start: number, length: number, hint: number, compare: Comparator<T>): number {
+  let lastOffset = 0;
+  let maxOffset = 0;
+  let offset = 1;
+
+  if (compare(value, array[start + hint]) > 0) {
+    maxOffset = length - hint;
+
+    while (offset < maxOffset && compare(value, array[start + hint + offset]) > 0) {
+      lastOffset = offset;
+      offset = (offset << 1) + 1;
+
+      if (offset <= 0) {
+        offset = maxOffset;
+      }
+    }
+
+    if (offset > maxOffset) {
+      offset = maxOffset;
+    }
+
+    // Make offsets relative to start
+    lastOffset += hint;
+    offset += hint;
+
+    // value <= array[start + hint]
+  } else {
+    maxOffset = hint + 1;
+    while (offset < maxOffset && compare(value, array[start + hint - offset]) <= 0) {
+      lastOffset = offset;
+      offset = (offset << 1) + 1;
+
+      if (offset <= 0) {
+        offset = maxOffset;
+      }
+    }
+    if (offset > maxOffset) {
+      offset = maxOffset;
+    }
+
+    // Make offsets relative to start
+    const tmp = lastOffset;
+    lastOffset = hint - offset;
+    offset = hint - tmp;
+  }
+
+  /*
+   * Now array[start+lastOffset] < value <= array[start+offset], so value
+   * belongs somewhere in the range (start + lastOffset, start + offset]. Do a
+   * binary search, with invariant array[start + lastOffset - 1] < value <=
+   * array[start + offset].
+   */
+  lastOffset++;
+  while (lastOffset < offset) {
+    const m = lastOffset + ((offset - lastOffset) >>> 1);
+
+    if (compare(value, array[start + m]) > 0) {
+      lastOffset = m + 1;
+    } else {
+      offset = m;
+    }
+  }
+  return offset;
+}
+
+/**
+ * Find the position at which to insert a value in a sorted range. If the range
+ * contains elements equal to the value the rightmost element index is returned
+ * (for stability).
+ *
+ * @param value - Value to insert.
+ * @param array - The array in which to insert value.
+ * @param start - First element in the range.
+ * @param length - Length of the range.
+ * @param hint - The index at which to begin the search.
+ * @param compare - Item comparison function.
+ * @return - The index where to insert value.
+ */
+function gallopRight<T>(value: T, array: T[], start: number, length: number, hint: number, compare: Comparator<T>): number {
+  let lastOffset = 0;
+  let maxOffset = 0;
+  let offset = 1;
+
+  if (compare(value, array[start + hint]) < 0) {
+    maxOffset = hint + 1;
+
+    while (offset < maxOffset && compare(value, array[start + hint - offset]) < 0) {
+      lastOffset = offset;
+      offset = (offset << 1) + 1;
+
+      if (offset <= 0) {
+        offset = maxOffset;
+      }
+    }
+
+    if (offset > maxOffset) {
+      offset = maxOffset;
+    }
+
+    // Make offsets relative to start
+    const tmp = lastOffset;
+    lastOffset = hint - offset;
+    offset = hint - tmp;
+
+    // value >= array[start + hint]
+  } else {
+    maxOffset = length - hint;
+
+    while (offset < maxOffset && compare(value, array[start + hint + offset]) >= 0) {
+      lastOffset = offset;
+      offset = (offset << 1) + 1;
+
+      if (offset <= 0) {
+        offset = maxOffset;
+      }
+    }
+
+    if (offset > maxOffset) {
+      offset = maxOffset;
+    }
+
+    // Make offsets relative to start
+    lastOffset += hint;
+    offset += hint;
+  }
+
+  /*
+   * Now array[start+lastOffset] < value <= array[start+offset], so value
+   * belongs somewhere in the range (start + lastOffset, start + offset]. Do a
+   * binary search, with invariant array[start + lastOffset - 1] < value <=
+   * array[start + offset].
+   */
+  lastOffset++;
+
+  while (lastOffset < offset) {
+    const m = lastOffset + ((offset - lastOffset) >>> 1);
+
+    if (compare(value, array[start + m]) < 0) {
+      offset = m;
+    } else {
+      lastOffset = m + 1;
+    }
+  }
+
+  return offset;
+}
+
+class TimSort<T> {
+  tmp: T[];
+  minGallop = DEFAULT_MIN_GALLOPING;
+  length = 0;
+  tmpStorageLength = DEFAULT_TMP_STORAGE_LENGTH;
+  stackLength = 0;
+  runStart: number[];
+  runLength: number[];
+  stackSize = 0;
+
+  constructor(public array: T[], public compare: Comparator<T>) {
+    this.length = array.length;
+
+    if (this.length < 2 * DEFAULT_TMP_STORAGE_LENGTH) {
+      this.tmpStorageLength = this.length >>> 1;
+    }
+
+    this.tmp = new Array(this.tmpStorageLength);
+
+    this.stackLength = (
+      this.length < 120
+        ? 5
+        : this.length < 1542
+          ? 10
+          : this.length < 119151
+            ? 19
+            : 40
+    );
+
+    this.runStart = new Array(this.stackLength);
+    this.runLength = new Array(this.stackLength);
+  }
+
+  /**
+   * Push a new run on TimSort's stack.
+   *
+   * @param runStart - Start index of the run in the original array.
+   * @param runLength - Length of the run;
+   */
+  pushRun(runStart: number, runLength: number) {
+    this.runStart[this.stackSize] = runStart;
+    this.runLength[this.stackSize] = runLength;
+    this.stackSize += 1;
+  }
+
+  /**
+   * Merge runs on TimSort's stack so that the following holds for all i:
+   * 1) runLength[i - 3] > runLength[i - 2] + runLength[i - 1]
+   * 2) runLength[i - 2] > runLength[i - 1]
+   */
+  mergeRuns() {
+    while (this.stackSize > 1) {
+      let n = this.stackSize - 2;
+
+      if ((n >= 1
+        && this.runLength[n - 1] <= this.runLength[n] + this.runLength[n + 1])
+        || (n >= 2
+        && this.runLength[n - 2] <= this.runLength[n] + this.runLength[n - 1])) {
+        if (this.runLength[n - 1] < this.runLength[n + 1]) {
+          n--;
+        }
+      } else if (this.runLength[n] > this.runLength[n + 1]) {
+        break;
+      }
+      this.mergeAt(n);
+    }
+  }
+
+  /**
+   * Merge all runs on TimSort's stack until only one remains.
+   */
+  forceMergeRuns() {
+    while (this.stackSize > 1) {
+      let n = this.stackSize - 2;
+
+      if (n > 0 && this.runLength[n - 1] < this.runLength[n + 1]) {
+        n--;
+      }
+
+      this.mergeAt(n);
+    }
+  }
+
+  /**
+   * Merge the runs on the stack at positions i and i+1. Must be always be called
+   * with i=stackSize-2 or i=stackSize-3 (that is, we merge on top of the stack).
+   *
+   * @param i - Index of the run to merge in TimSort's stack.
+   */
+  mergeAt(i: number) {
+    const compare = this.compare;
+    const array = this.array;
+
+    let start1 = this.runStart[i];
+    let length1 = this.runLength[i];
+    const start2 = this.runStart[i + 1];
+    let length2 = this.runLength[i + 1];
+
+    this.runLength[i] = length1 + length2;
+
+    if (i === this.stackSize - 3) {
+      this.runStart[i + 1] = this.runStart[i + 2];
+      this.runLength[i + 1] = this.runLength[i + 2];
+    }
+
+    this.stackSize--;
+
+    /*
+     * Find where the first element in the second run goes in run1. Previous
+     * elements in run1 are already in place
+     */
+    const k = gallopRight(array[start2], array, start1, length1, 0, compare);
+    start1 += k;
+    length1 -= k;
+
+    if (length1 === 0) {
+      return;
+    }
+
+    /*
+     * Find where the last element in the first run goes in run2. Next elements
+     * in run2 are already in place
+     */
+    length2 = gallopLeft(array[start1 + length1 - 1], array, start2, length2, length2 - 1, compare);
+
+    if (length2 === 0) {
+      return;
+    }
+
+    /*
+     * Merge remaining runs. A tmp array with length = min(length1, length2) is
+     * used
+     */
+    if (length1 <= length2) {
+      this.mergeLow(start1, length1, start2, length2);
+    } else {
+      this.mergeHigh(start1, length1, start2, length2);
+    }
+  }
+
+  /**
+   * Merge two adjacent runs in a stable way. The runs must be such that the
+   * first element of run1 is bigger than the first element in run2 and the
+   * last element of run1 is greater than all the elements in run2.
+   * The method should be called when run1.length <= run2.length as it uses
+   * TimSort temporary array to store run1. Use mergeHigh if run1.length >
+   * run2.length.
+   *
+   * @param start1 - First element in run1.
+   * @param length1 - Length of run1.
+   * @param start2 - First element in run2.
+   * @param length2 - Length of run2.
+   */
+  mergeLow(start1: number, length1: number, start2: number, length2: number) {
+    const compare = this.compare;
+    const array = this.array;
+    const tmp = this.tmp;
+    let i = 0;
+
+    for (i = 0; i < length1; i++) {
+      tmp[i] = array[start1 + i];
+    }
+
+    let cursor1 = 0;
+    let cursor2 = start2;
+    let dest = start1;
+
+    array[dest++] = array[cursor2++];
+
+    if (--length2 === 0) {
+      for (i = 0; i < length1; i++) {
+        array[dest + i] = tmp[cursor1 + i];
+      }
+      return;
+    }
+
+    if (length1 === 1) {
+      for (i = 0; i < length2; i++) {
+        array[dest + i] = array[cursor2 + i];
+      }
+      array[dest + length2] = tmp[cursor1];
+      return;
+    }
+
+    let minGallop = this.minGallop;
+
+    while (true) {
+      let count1 = 0;
+      let count2 = 0;
+      let exit = false;
+
+      do {
+        if (compare(array[cursor2], tmp[cursor1]) < 0) {
+          array[dest++] = array[cursor2++];
+          count2++;
+          count1 = 0;
+
+          if (--length2 === 0) {
+            exit = true;
+            break;
+          }
+        } else {
+          array[dest++] = tmp[cursor1++];
+          count1++;
+          count2 = 0;
+          if (--length1 === 1) {
+            exit = true;
+            break;
+          }
+        }
+      } while ((count1 | count2) < minGallop);
+
+      if (exit) {
+        break;
+      }
+
+      do {
+        count1 = gallopRight(array[cursor2], tmp, cursor1, length1, 0, compare);
+
+        if (count1 !== 0) {
+          for (i = 0; i < count1; i++) {
+            array[dest + i] = tmp[cursor1 + i];
+          }
+
+          dest += count1;
+          cursor1 += count1;
+          length1 -= count1;
+          if (length1 <= 1) {
+            exit = true;
+            break;
+          }
+        }
+
+        array[dest++] = array[cursor2++];
+
+        if (--length2 === 0) {
+          exit = true;
+          break;
+        }
+
+        count2 = gallopLeft(tmp[cursor1], array, cursor2, length2, 0, compare);
+
+        if (count2 !== 0) {
+          for (i = 0; i < count2; i++) {
+            array[dest + i] = array[cursor2 + i];
+          }
+
+          dest += count2;
+          cursor2 += count2;
+          length2 -= count2;
+
+          if (length2 === 0) {
+            exit = true;
+            break;
+          }
+        }
+        array[dest++] = tmp[cursor1++];
+
+        if (--length1 === 1) {
+          exit = true;
+          break;
+        }
+
+        minGallop--;
+      } while (count1 >= DEFAULT_MIN_GALLOPING || count2 >= DEFAULT_MIN_GALLOPING);
+
+      if (exit) {
+        break;
+      }
+
+      if (minGallop < 0) {
+        minGallop = 0;
+      }
+
+      minGallop += 2;
+    }
+
+    this.minGallop = minGallop;
+
+    if (minGallop < 1) {
+      this.minGallop = 1;
+    }
+
+    if (length1 === 1) {
+      for (i = 0; i < length2; i++) {
+        array[dest + i] = array[cursor2 + i];
+      }
+      array[dest + length2] = tmp[cursor1];
+    } else if (length1 === 0) {
+      // do nothing
+    } else {
+      for (i = 0; i < length1; i++) {
+        array[dest + i] = tmp[cursor1 + i];
+      }
+    }
+  }
+
+  /**
+   * Merge two adjacent runs in a stable way. The runs must be such that the
+   * first element of run1 is bigger than the first element in run2 and the
+   * last element of run1 is greater than all the elements in run2.
+   * The method should be called when run1.length > run2.length as it uses
+   * TimSort temporary array to store run2. Use mergeLow if run1.length <=
+   * run2.length.
+   *
+   * @param start1 - First element in run1.
+   * @param length1 - Length of run1.
+   * @param start2 - First element in run2.
+   * @param length2 - Length of run2.
+   */
+  mergeHigh(start1: number, length1: number, start2: number, length2: number) {
+    const compare = this.compare;
+    const array = this.array;
+    const tmp = this.tmp;
+    let i = 0;
+
+    for (i = 0; i < length2; i++) {
+      tmp[i] = array[start2 + i];
+    }
+
+    let cursor1 = start1 + length1 - 1;
+    let cursor2 = length2 - 1;
+    let dest = start2 + length2 - 1;
+    let customCursor = 0;
+    let customDest = 0;
+
+    array[dest--] = array[cursor1--];
+
+    if (--length1 === 0) {
+      customCursor = dest - (length2 - 1);
+
+      for (i = 0; i < length2; i++) {
+        array[customCursor + i] = tmp[i];
+      }
+
+      return;
+    }
+
+    if (length2 === 1) {
+      dest -= length1;
+      cursor1 -= length1;
+      customDest = dest + 1;
+      customCursor = cursor1 + 1;
+
+      for (i = length1 - 1; i >= 0; i--) {
+        array[customDest + i] = array[customCursor + i];
+      }
+
+      array[dest] = tmp[cursor2];
+      return;
+    }
+
+    let minGallop = this.minGallop;
+
+    while (true) {
+      let count1 = 0;
+      let count2 = 0;
+      let exit = false;
+
+      do {
+        if (compare(tmp[cursor2], array[cursor1]) < 0) {
+          array[dest--] = array[cursor1--];
+          count1++;
+          count2 = 0;
+          if (--length1 === 0) {
+            exit = true;
+            break;
+          }
+        } else {
+          array[dest--] = tmp[cursor2--];
+          count2++;
+          count1 = 0;
+          if (--length2 === 1) {
+            exit = true;
+            break;
+          }
+        }
+      } while ((count1 | count2) < minGallop);
+
+      if (exit) {
+        break;
+      }
+
+      do {
+        count1 = length1 - gallopRight(tmp[cursor2], array, start1, length1, length1 - 1, compare);
+
+        if (count1 !== 0) {
+          dest -= count1;
+          cursor1 -= count1;
+          length1 -= count1;
+          customDest = dest + 1;
+          customCursor = cursor1 + 1;
+
+          for (i = count1 - 1; i >= 0; i--) {
+            array[customDest + i] = array[customCursor + i];
+          }
+
+          if (length1 === 0) {
+            exit = true;
+            break;
+          }
+        }
+
+        array[dest--] = tmp[cursor2--];
+
+        if (--length2 === 1) {
+          exit = true;
+          break;
+        }
+
+        count2 = length2 - gallopLeft(array[cursor1], tmp, 0, length2, length2 - 1, compare);
+
+        if (count2 !== 0) {
+          dest -= count2;
+          cursor2 -= count2;
+          length2 -= count2;
+          customDest = dest + 1;
+          customCursor = cursor2 + 1;
+
+          for (i = 0; i < count2; i++) {
+            array[customDest + i] = tmp[customCursor + i];
+          }
+
+          if (length2 <= 1) {
+            exit = true;
+            break;
+          }
+        }
+
+        array[dest--] = array[cursor1--];
+
+        if (--length1 === 0) {
+          exit = true;
+          break;
+        }
+
+        minGallop--;
+      } while (count1 >= DEFAULT_MIN_GALLOPING || count2 >= DEFAULT_MIN_GALLOPING);
+
+      if (exit) {
+        break;
+      }
+
+      if (minGallop < 0) {
+        minGallop = 0;
+      }
+
+      minGallop += 2;
+    }
+
+    this.minGallop = minGallop;
+
+    if (minGallop < 1) {
+      this.minGallop = 1;
+    }
+
+    if (length2 === 1) {
+      dest -= length1;
+      cursor1 -= length1;
+      customDest = dest + 1;
+      customCursor = cursor1 + 1;
+
+      for (i = length1 - 1; i >= 0; i--) {
+        array[customDest + i] = array[customCursor + i];
+      }
+
+      array[dest] = tmp[cursor2];
+    } else if (length2 === 0) {
+      // do nothing
+    } else {
+      customCursor = dest - (length2 - 1);
+      for (i = 0; i < length2; i++) {
+        array[customCursor + i] = tmp[i];
+      }
+    }
+  }
+}
+
+/**
+ * Sort an array in the range [lo, hi) using TimSort.
+ *
+ * @param array - The array to sort.
+ * @param compare - Item comparison function. Default is
+ *     alphabetical
+ * @param lo - First element in the range (inclusive).
+ * @param hi - Last element in the range.
+ *     comparator.
+ */
+export function sort<T>(array: T[], compare: Comparator<T> | undefined = alphabeticalCompare, lo = 0, hi: number = array.length) {
+  // if (!Array.isArray(array)) {
+  //   throw new TypeError('Can only sort arrays');
+  // }
+
+  /*
+   * Handle the case where a comparison function is not provided. We do
+   * lexicographic sorting
+   */
+  if (typeof compare !== 'function') {
+    hi = lo;
+    lo = compare;
+    compare = alphabeticalCompare;
+  }
+
+  let remaining = hi - lo;
+
+  // The array is already sorted
+  if (remaining < 2) {
+    return;
+  }
+
+  let runLength = 0;
+  // On small arrays binary sort can be used directly
+  if (remaining < DEFAULT_MIN_MERGE) {
+    runLength = makeAscendingRun(array, lo, hi, compare);
+    binaryInsertionSort(array, lo, hi, lo + runLength, compare);
+    return;
+  }
+
+  const ts = new TimSort(array, compare);
+
+  const minRun = minRunLength(remaining);
+
+  do {
+    runLength = makeAscendingRun(array, lo, hi, compare);
+    if (runLength < minRun) {
+      let force = remaining;
+      if (force > minRun) {
+        force = minRun;
+      }
+
+      binaryInsertionSort(array, lo, lo + force, lo + runLength, compare);
+      runLength = force;
+    }
+    // Push new run and merge if necessary
+    ts.pushRun(lo, runLength);
+    ts.mergeRuns();
+
+    // Go find next run
+    remaining -= runLength;
+    lo += runLength;
+  } while (remaining !== 0);
+
+  // Force merging of remaining runs
+  ts.forceMergeRuns();
+}

package.json

@@ -29,7 +29,6 @@
     "punycode": "^2.3.1",
     "table": "^6.8.2",
     "tar-stream": "^3.1.7",
-    "timsort": "^0.3.0",
     "tldts": "^6.1.19"
   },
   "devDependencies": {
@@ -38,7 +37,6 @@
     "@types/async-retry": "^1.4.8",
     "@types/bun": "^1.1.1",
     "@types/tar-stream": "^3.1.3",
-    "@types/timsort": "^0.3.3",
     "bun-types": "^1.1.7",
     "eslint": "^9.2.0",
     "eslint-config-sukka": "6.0.0-beta.3",