feat:node-modules

node_modules/mathjs/lib/cjs/function/bitwise/leftShift.js

@@ -0,0 +1,121 @@
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+exports.createLeftShift = void 0;
+var _matAlgo02xDS = require("../../type/matrix/utils/matAlgo02xDS0.js");
+var _matAlgo11xS0s = require("../../type/matrix/utils/matAlgo11xS0s.js");
+var _matAlgo14xDs = require("../../type/matrix/utils/matAlgo14xDs.js");
+var _matAlgo01xDSid = require("../../type/matrix/utils/matAlgo01xDSid.js");
+var _matAlgo10xSids = require("../../type/matrix/utils/matAlgo10xSids.js");
+var _matAlgo08xS0Sid = require("../../type/matrix/utils/matAlgo08xS0Sid.js");
+var _factory = require("../../utils/factory.js");
+var _matrixAlgorithmSuite = require("../../type/matrix/utils/matrixAlgorithmSuite.js");
+var _useMatrixForArrayScalar = require("./useMatrixForArrayScalar.js");
+var _index = require("../../plain/number/index.js");
+var _bitwise = require("../../utils/bignumber/bitwise.js");
+const name = 'leftShift';
+const dependencies = ['typed', 'matrix', 'equalScalar', 'zeros', 'DenseMatrix', 'concat'];
+const createLeftShift = exports.createLeftShift = /* #__PURE__ */(0, _factory.factory)(name, dependencies, _ref => {
+  let {
+    typed,
+    matrix,
+    equalScalar,
+    zeros,
+    DenseMatrix,
+    concat
+  } = _ref;
+  const matAlgo01xDSid = (0, _matAlgo01xDSid.createMatAlgo01xDSid)({
+    typed
+  });
+  const matAlgo02xDS0 = (0, _matAlgo02xDS.createMatAlgo02xDS0)({
+    typed,
+    equalScalar
+  });
+  const matAlgo08xS0Sid = (0, _matAlgo08xS0Sid.createMatAlgo08xS0Sid)({
+    typed,
+    equalScalar
+  });
+  const matAlgo10xSids = (0, _matAlgo10xSids.createMatAlgo10xSids)({
+    typed,
+    DenseMatrix
+  });
+  const matAlgo11xS0s = (0, _matAlgo11xS0s.createMatAlgo11xS0s)({
+    typed,
+    equalScalar
+  });
+  const matAlgo14xDs = (0, _matAlgo14xDs.createMatAlgo14xDs)({
+    typed
+  });
+  const matrixAlgorithmSuite = (0, _matrixAlgorithmSuite.createMatrixAlgorithmSuite)({
+    typed,
+    matrix,
+    concat
+  });
+  const useMatrixForArrayScalar = (0, _useMatrixForArrayScalar.createUseMatrixForArrayScalar)({
+    typed,
+    matrix
+  });
+
+  /**
+   * Bitwise left logical shift of a value x by y number of bits, `x << y`.
+   * For matrices, the function is evaluated element wise.
+   * For units, the function is evaluated on the best prefix base.
+   *
+   * Syntax:
+   *
+   *    math.leftShift(x, y)
+   *
+   * Examples:
+   *
+   *    math.leftShift(1, 2)               // returns number 4
+   *
+   *    math.leftShift([1, 2, 4], 4)       // returns Array [16, 32, 64]
+   *
+   * See also:
+   *
+   *    leftShift, bitNot, bitOr, bitXor, rightArithShift, rightLogShift
+   *
+   * @param  {number | BigNumber | bigint | Array | Matrix} x Value to be shifted
+   * @param  {number | BigNumber | bigint} y Amount of shifts
+   * @return {number | BigNumber | bigint | Array | Matrix} `x` shifted left `y` times
+   */
+  return typed(name, {
+    'number, number': _index.leftShiftNumber,
+    'BigNumber, BigNumber': _bitwise.leftShiftBigNumber,
+    'bigint, bigint': (x, y) => x << y,
+    'SparseMatrix, number | BigNumber': typed.referToSelf(self => (x, y) => {
+      // check scalar
+      if (equalScalar(y, 0)) {
+        return x.clone();
+      }
+      return matAlgo11xS0s(x, y, self, false);
+    }),
+    'DenseMatrix, number | BigNumber': typed.referToSelf(self => (x, y) => {
+      // check scalar
+      if (equalScalar(y, 0)) {
+        return x.clone();
+      }
+      return matAlgo14xDs(x, y, self, false);
+    }),
+    'number | BigNumber, SparseMatrix': typed.referToSelf(self => (x, y) => {
+      // check scalar
+      if (equalScalar(x, 0)) {
+        return zeros(y.size(), y.storage());
+      }
+      return matAlgo10xSids(y, x, self, true);
+    }),
+    'number | BigNumber, DenseMatrix': typed.referToSelf(self => (x, y) => {
+      // check scalar
+      if (equalScalar(x, 0)) {
+        return zeros(y.size(), y.storage());
+      }
+      return matAlgo14xDs(y, x, self, true);
+    })
+  }, useMatrixForArrayScalar, matrixAlgorithmSuite({
+    SS: matAlgo08xS0Sid,
+    DS: matAlgo01xDSid,
+    SD: matAlgo02xDS0
+  }));
+});