feat:node-modules

node_modules/mathjs/lib/cjs/function/algebra/sparse/csPermute.js

@@ -0,0 +1,67 @@
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+exports.csPermute = csPermute;
+// Copyright (c) 2006-2024, Timothy A. Davis, All Rights Reserved.
+// SPDX-License-Identifier: LGPL-2.1+
+// https://github.com/DrTimothyAldenDavis/SuiteSparse/tree/dev/CSparse/Source
+
+/**
+ * Permutes a sparse matrix C = P * A * Q
+ *
+ * @param {SparseMatrix}  a         The Matrix A
+ * @param {Array}   pinv            The row permutation vector
+ * @param {Array}   q               The column permutation vector
+ * @param {boolean} values          Create a pattern matrix (false), values and pattern otherwise
+ *
+ * @return {Matrix}                 C = P * A * Q, null on error
+ */
+function csPermute(a, pinv, q, values) {
+  // a arrays
+  const avalues = a._values;
+  const aindex = a._index;
+  const aptr = a._ptr;
+  const asize = a._size;
+  const adt = a._datatype;
+  // rows & columns
+  const m = asize[0];
+  const n = asize[1];
+  // c arrays
+  const cvalues = values && a._values ? [] : null;
+  const cindex = []; // (aptr[n])
+  const cptr = []; // (n + 1)
+  // initialize vars
+  let nz = 0;
+  // loop columns
+  for (let k = 0; k < n; k++) {
+    // column k of C is column q[k] of A
+    cptr[k] = nz;
+    // apply column permutation
+    const j = q ? q[k] : k;
+    // loop values in column j of A
+    for (let t0 = aptr[j], t1 = aptr[j + 1], t = t0; t < t1; t++) {
+      // row i of A is row pinv[i] of C
+      const r = pinv ? pinv[aindex[t]] : aindex[t];
+      // index
+      cindex[nz] = r;
+      // check we need to populate values
+      if (cvalues) {
+        cvalues[nz] = avalues[t];
+      }
+      // increment number of nonzero elements
+      nz++;
+    }
+  }
+  // finalize the last column of C
+  cptr[n] = nz;
+  // return C matrix
+  return a.createSparseMatrix({
+    values: cvalues,
+    index: cindex,
+    ptr: cptr,
+    size: [m, n],
+    datatype: adt
+  });
+}