feat:node-modules

node_modules/mathjs/lib/esm/function/bitwise/bitAnd.js

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+import { bitAndBigNumber } from '../../utils/bignumber/bitwise.js';
+import { createMatAlgo02xDS0 } from '../../type/matrix/utils/matAlgo02xDS0.js';
+import { createMatAlgo11xS0s } from '../../type/matrix/utils/matAlgo11xS0s.js';
+import { createMatAlgo06xS0S0 } from '../../type/matrix/utils/matAlgo06xS0S0.js';
+import { factory } from '../../utils/factory.js';
+import { createMatrixAlgorithmSuite } from '../../type/matrix/utils/matrixAlgorithmSuite.js';
+import { bitAndNumber } from '../../plain/number/index.js';
+var name = 'bitAnd';
+var dependencies = ['typed', 'matrix', 'equalScalar', 'concat'];
+export var createBitAnd = /* #__PURE__ */factory(name, dependencies, _ref => {
+  var {
+    typed,
+    matrix,
+    equalScalar,
+    concat
+  } = _ref;
+  var matAlgo02xDS0 = createMatAlgo02xDS0({
+    typed,
+    equalScalar
+  });
+  var matAlgo06xS0S0 = createMatAlgo06xS0S0({
+    typed,
+    equalScalar
+  });
+  var matAlgo11xS0s = createMatAlgo11xS0s({
+    typed,
+    equalScalar
+  });
+  var matrixAlgorithmSuite = createMatrixAlgorithmSuite({
+    typed,
+    matrix,
+    concat
+  });
+
+  /**
+   * Bitwise AND two values, `x & y`.
+   * For matrices, the function is evaluated element wise.
+   *
+   * Syntax:
+   *
+   *    math.bitAnd(x, y)
+   *
+   * Examples:
+   *
+   *    math.bitAnd(53, 131)               // returns number 1
+   *
+   *    math.bitAnd([1, 12, 31], 42)       // returns Array [0, 8, 10]
+   *
+   * See also:
+   *
+   *    bitNot, bitOr, bitXor, leftShift, rightArithShift, rightLogShift
+   *
+   * @param  {number | BigNumber | bigint | Array | Matrix} x First value to and
+   * @param  {number | BigNumber | bigint | Array | Matrix} y Second value to and
+   * @return {number | BigNumber | bigint | Array | Matrix} AND of `x` and `y`
+   */
+  return typed(name, {
+    'number, number': bitAndNumber,
+    'BigNumber, BigNumber': bitAndBigNumber,
+    'bigint, bigint': (x, y) => x & y
+  }, matrixAlgorithmSuite({
+    SS: matAlgo06xS0S0,
+    DS: matAlgo02xDS0,
+    Ss: matAlgo11xS0s
+  }));
+});

node_modules/mathjs/lib/esm/function/bitwise/bitNot.js

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+import { bitNotBigNumber } from '../../utils/bignumber/bitwise.js';
+import { deepMap } from '../../utils/collection.js';
+import { factory } from '../../utils/factory.js';
+import { bitNotNumber } from '../../plain/number/index.js';
+var name = 'bitNot';
+var dependencies = ['typed'];
+export var createBitNot = /* #__PURE__ */factory(name, dependencies, _ref => {
+  var {
+    typed
+  } = _ref;
+  /**
+   * Bitwise NOT value, `~x`.
+   * For matrices, the function is evaluated element wise.
+   * For units, the function is evaluated on the best prefix base.
+   *
+   * Syntax:
+   *
+   *    math.bitNot(x)
+   *
+   * Examples:
+   *
+   *    math.bitNot(1)               // returns number -2
+   *
+   *    math.bitNot([2, -3, 4])      // returns Array [-3, 2, -5]
+   *
+   * See also:
+   *
+   *    bitAnd, bitOr, bitXor, leftShift, rightArithShift, rightLogShift
+   *
+   * @param  {number | BigNumber | bigint | Array | Matrix} x Value to not
+   * @return {number | BigNumber | bigint | Array | Matrix} NOT of `x`
+   */
+  return typed(name, {
+    number: bitNotNumber,
+    BigNumber: bitNotBigNumber,
+    bigint: x => ~x,
+    'Array | Matrix': typed.referToSelf(self => x => deepMap(x, self))
+  });
+});

node_modules/mathjs/lib/esm/function/bitwise/bitOr.js

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+import { bitOrBigNumber } from '../../utils/bignumber/bitwise.js';
+import { factory } from '../../utils/factory.js';
+import { createMatAlgo10xSids } from '../../type/matrix/utils/matAlgo10xSids.js';
+import { createMatAlgo04xSidSid } from '../../type/matrix/utils/matAlgo04xSidSid.js';
+import { createMatAlgo01xDSid } from '../../type/matrix/utils/matAlgo01xDSid.js';
+import { createMatrixAlgorithmSuite } from '../../type/matrix/utils/matrixAlgorithmSuite.js';
+import { bitOrNumber } from '../../plain/number/index.js';
+var name = 'bitOr';
+var dependencies = ['typed', 'matrix', 'equalScalar', 'DenseMatrix', 'concat'];
+export var createBitOr = /* #__PURE__ */factory(name, dependencies, _ref => {
+  var {
+    typed,
+    matrix,
+    equalScalar,
+    DenseMatrix,
+    concat
+  } = _ref;
+  var matAlgo01xDSid = createMatAlgo01xDSid({
+    typed
+  });
+  var matAlgo04xSidSid = createMatAlgo04xSidSid({
+    typed,
+    equalScalar
+  });
+  var matAlgo10xSids = createMatAlgo10xSids({
+    typed,
+    DenseMatrix
+  });
+  var matrixAlgorithmSuite = createMatrixAlgorithmSuite({
+    typed,
+    matrix,
+    concat
+  });
+
+  /**
+   * Bitwise OR two values, `x | y`.
+   * For matrices, the function is evaluated element wise.
+   * For units, the function is evaluated on the lowest print base.
+   *
+   * Syntax:
+   *
+   *    math.bitOr(x, y)
+   *
+   * Examples:
+   *
+   *    math.bitOr(1, 2)               // returns number 3
+   *
+   *    math.bitOr([1, 2, 3], 4)       // returns Array [5, 6, 7]
+   *
+   * See also:
+   *
+   *    bitAnd, bitNot, bitXor, leftShift, rightArithShift, rightLogShift
+   *
+   * @param  {number | BigNumber | bigint | Array | Matrix} x First value to or
+   * @param  {number | BigNumber | bigint | Array | Matrix} y Second value to or
+   * @return {number | BigNumber | bigint | Array | Matrix} OR of `x` and `y`
+   */
+  return typed(name, {
+    'number, number': bitOrNumber,
+    'BigNumber, BigNumber': bitOrBigNumber,
+    'bigint, bigint': (x, y) => x | y
+  }, matrixAlgorithmSuite({
+    SS: matAlgo04xSidSid,
+    DS: matAlgo01xDSid,
+    Ss: matAlgo10xSids
+  }));
+});

node_modules/mathjs/lib/esm/function/bitwise/bitXor.js

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+import { bitXor as bigBitXor } from '../../utils/bignumber/bitwise.js';
+import { createMatAlgo03xDSf } from '../../type/matrix/utils/matAlgo03xDSf.js';
+import { createMatAlgo07xSSf } from '../../type/matrix/utils/matAlgo07xSSf.js';
+import { createMatAlgo12xSfs } from '../../type/matrix/utils/matAlgo12xSfs.js';
+import { factory } from '../../utils/factory.js';
+import { createMatrixAlgorithmSuite } from '../../type/matrix/utils/matrixAlgorithmSuite.js';
+import { bitXorNumber } from '../../plain/number/index.js';
+var name = 'bitXor';
+var dependencies = ['typed', 'matrix', 'DenseMatrix', 'concat'];
+export var createBitXor = /* #__PURE__ */factory(name, dependencies, _ref => {
+  var {
+    typed,
+    matrix,
+    DenseMatrix,
+    concat
+  } = _ref;
+  var matAlgo03xDSf = createMatAlgo03xDSf({
+    typed
+  });
+  var matAlgo07xSSf = createMatAlgo07xSSf({
+    typed,
+    DenseMatrix
+  });
+  var matAlgo12xSfs = createMatAlgo12xSfs({
+    typed,
+    DenseMatrix
+  });
+  var matrixAlgorithmSuite = createMatrixAlgorithmSuite({
+    typed,
+    matrix,
+    concat
+  });
+
+  /**
+   * Bitwise XOR two values, `x ^ y`.
+   * For matrices, the function is evaluated element wise.
+   *
+   * Syntax:
+   *
+   *    math.bitXor(x, y)
+   *
+   * Examples:
+   *
+   *    math.bitXor(1, 2)               // returns number 3
+   *
+   *    math.bitXor([2, 3, 4], 4)       // returns Array [6, 7, 0]
+   *
+   * See also:
+   *
+   *    bitAnd, bitNot, bitOr, leftShift, rightArithShift, rightLogShift
+   *
+   * @param  {number | BigNumber | bigint | Array | Matrix} x First value to xor
+   * @param  {number | BigNumber | bigint | Array | Matrix} y Second value to xor
+   * @return {number | BigNumber | bigint | Array | Matrix} XOR of `x` and `y`
+   */
+  return typed(name, {
+    'number, number': bitXorNumber,
+    'BigNumber, BigNumber': bigBitXor,
+    'bigint, bigint': (x, y) => x ^ y
+  }, matrixAlgorithmSuite({
+    SS: matAlgo07xSSf,
+    DS: matAlgo03xDSf,
+    Ss: matAlgo12xSfs
+  }));
+});

node_modules/mathjs/lib/esm/function/bitwise/useMatrixForArrayScalar.js

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+import { factory } from '../../utils/factory.js';
+export var createUseMatrixForArrayScalar = /* #__PURE__ */factory('useMatrixForArrayScalar', ['typed', 'matrix'], _ref => {
+  var {
+    typed,
+    matrix
+  } = _ref;
+  return {
+    'Array, number': typed.referTo('DenseMatrix, number', selfDn => (x, y) => selfDn(matrix(x), y).valueOf()),
+    'Array, BigNumber': typed.referTo('DenseMatrix, BigNumber', selfDB => (x, y) => selfDB(matrix(x), y).valueOf()),
+    'number, Array': typed.referTo('number, DenseMatrix', selfnD => (x, y) => selfnD(x, matrix(y)).valueOf()),
+    'BigNumber, Array': typed.referTo('BigNumber, DenseMatrix', selfBD => (x, y) => selfBD(x, matrix(y)).valueOf())
+  };
+});