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* @license\n * Copyright 2017 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tf from './index';\nimport {ALL_ENVS, describeWithFlags} from './jasmine_util';\nimport {complex, scalar, tensor2d} from './ops/ops';\nimport {inferShape} from './tensor_util_env';\nimport * as util from './util';\n\ndescribe('Util', () => {\n it('Correctly gets size from shape', () => {\n expect(util.sizeFromShape([1, 2, 3, 4])).toEqual(24);\n });\n\n it('Correctly identifies scalars', () => {\n expect(util.isScalarShape([])).toBe(true);\n expect(util.isScalarShape([1, 2])).toBe(false);\n expect(util.isScalarShape([1])).toBe(false);\n });\n\n it('Number arrays equal', () => {\n expect(util.arraysEqual([1, 2, 3, 6], [1, 2, 3, 6])).toBe(true);\n expect(util.arraysEqual([1, 2], [1, 2, 3])).toBe(false);\n expect(util.arraysEqual([1, 2, 5], [1, 2])).toBe(false);\n });\n\n it('Arrays shuffle randomly', () => {\n // Create 1000 numbers ordered\n const a = Array.apply(0, {length: 1000}).map(Number.call, Number).slice(1);\n const b = [].concat(a); // copy ES5 style\n util.shuffle(a);\n expect(a).not.toEqual(b);\n expect(a.length).toEqual(b.length);\n });\n\n it('Multiple arrays shuffle together', () => {\n // Create 1000 numbers ordered\n const a = Array.apply(0, {length: 1000}).map(Number.call, Number).slice(1);\n const b = [].concat(a); // copies\n const c = [].concat(a);\n util.shuffleCombo(a, b);\n expect(a).not.toEqual(c);\n expect(a).toEqual(b);\n expect(a.length).toEqual(c.length);\n });\n\n it('Is integer', () => {\n expect(util.isInt(0.5)).toBe(false);\n expect(util.isInt(1)).toBe(true);\n });\n\n it('Size to squarish shape (perfect square)', () => {\n expect(util.sizeToSquarishShape(9)).toEqual([3, 3]);\n });\n\n it('Size to squarish shape (prime number)', () => {\n expect(util.sizeToSquarishShape(11)).toEqual([4, 3]);\n });\n\n it('Size to squarish shape (almost square)', () => {\n expect(util.sizeToSquarishShape(35)).toEqual([6, 6]);\n });\n\n it('Size of 1 to squarish shape', () => {\n expect(util.sizeToSquarishShape(1)).toEqual([1, 1]);\n });\n\n it('infer shape single number', () => {\n expect(inferShape(4)).toEqual([]);\n });\n\n it('infer shape 1d array', () => {\n expect(inferShape([1, 2, 5])).toEqual([3]);\n });\n\n it('infer shape 2d array', () => {\n expect(inferShape([[1, 2, 5], [5, 4, 1]])).toEqual([2, 3]);\n });\n\n it('infer shape 3d array', () => {\n const a = [[[1, 2], [2, 3], [5, 6]], [[5, 6], [4, 5], [1, 2]]];\n expect(inferShape(a)).toEqual([2, 3, 2]);\n });\n\n it('infer shape 4d array', () => {\n const a = [\n [[[1], [2]], [[2], [3]], [[5], [6]]], [[[5], [6]], [[4], [5]], [[1], [2]]]\n ];\n expect(inferShape(a)).toEqual([2, 3, 2, 1]);\n });\n\n it('infer shape of typed array', () => {\n const a = new Float32Array([1, 2, 3, 4, 5]);\n expect(inferShape(a)).toEqual([5]);\n });\n\n it('infer shape of Uint8Array[], string tensor', () => {\n const a = [new Uint8Array([1, 2]), new Uint8Array([3, 4])];\n expect(inferShape(a, 'string')).toEqual([2]);\n });\n\n it('infer shape of Uint8Array[][], string tensor', () => {\n const a = [\n [new Uint8Array([1]), new Uint8Array([2])],\n [new Uint8Array([1]), new Uint8Array([2])]\n ];\n expect(inferShape(a, 'string')).toEqual([2, 2]);\n });\n\n it('infer shape of Uint8Array[][][], string tensor', () => {\n const a = [\n [[new Uint8Array([1, 2])], [new Uint8Array([2, 1])]],\n [[new Uint8Array([1, 2])], [new Uint8Array([2, 1])]]\n ];\n expect(inferShape(a, 'string')).toEqual([2, 2, 1]);\n });\n});\n\ndescribe('util.flatten', () => {\n it('nested number arrays', () => {\n expect(util.flatten([[1, 2, 3], [4, 5, 6]])).toEqual([1, 2, 3, 4, 5, 6]);\n expect(util.flatten([[[1, 2], [3, 4], [5, 6], [7, 8]]])).toEqual([\n 1, 2, 3, 4, 5, 6, 7, 8\n ]);\n expect(util.flatten([1, 2, 3, 4, 5, 6])).toEqual([1, 2, 3, 4, 5, 6]);\n });\n\n it('nested string arrays', () => {\n expect(util.flatten([['a', 'b'], ['c', [['d']]]])).toEqual([\n 'a', 'b', 'c', 'd'\n ]);\n expect(util.flatten([['a', ['b']], ['c', [['d']], 'e']])).toEqual([\n 'a', 'b', 'c', 'd', 'e'\n ]);\n });\n\n it('mixed TypedArray and number[]', () => {\n const data =\n [new Float32Array([1, 2]), 3, [4, 5, new Float32Array([6, 7])]];\n expect(util.flatten(data)).toEqual([1, 2, 3, 4, 5, 6, 7]);\n });\n\n it('nested Uint8Arrays, skipTypedArray=true', () => {\n const data = [\n [new Uint8Array([1, 2]), new Uint8Array([3, 4])],\n [new Uint8Array([5, 6]), new Uint8Array([7, 8])]\n ];\n expect(util.flatten(data, [], true)).toEqual([\n new Uint8Array([1, 2]), new Uint8Array([3, 4]), new Uint8Array([5, 6]),\n new Uint8Array([7, 8])\n ]);\n });\n});\n\nfunction encodeStrings(a: string[]): Uint8Array[] {\n return a.map(s => util.encodeString(s));\n}\n\ndescribe('util.bytesFromStringArray', () => {\n it('count bytes after utf8 encoding', () => {\n expect(util.bytesFromStringArray(encodeStrings(['a', 'bb', 'ccc'])))\n .toBe(6);\n expect(util.bytesFromStringArray(encodeStrings(['a', 'bb', 'cccddd'])))\n .toBe(9);\n expect(util.bytesFromStringArray(encodeStrings(['даниел']))).toBe(6 * 2);\n });\n});\n\ndescribe('util.inferDtype', () => {\n it('a single string => string', () => {\n expect(util.inferDtype('hello')).toBe('string');\n });\n\n it('a single boolean => bool', () => {\n expect(util.inferDtype(true)).toBe('bool');\n expect(util.inferDtype(false)).toBe('bool');\n });\n\n it('a single number => float32', () => {\n expect(util.inferDtype(0)).toBe('float32');\n expect(util.inferDtype(34)).toBe('float32');\n });\n\n it('a list of strings => string', () => {\n // Flat.\n expect(util.inferDtype(['a', 'b', 'c'])).toBe('string');\n // Nested.\n expect(util.inferDtype([\n [['a']], [['b']], [['c']], [['d']]\n ])).toBe('string');\n });\n\n it('a list of bools => float32', () => {\n // Flat.\n expect(util.inferDtype([false, true, false])).toBe('bool');\n // Nested.\n expect(util.inferDtype([\n [[true]], [[false]], [[true]], [[true]]\n ])).toBe('bool');\n });\n\n it('a list of numbers => float32', () => {\n // Flat.\n expect(util.inferDtype([0, 1, 2])).toBe('float32');\n // Nested.\n expect(util.inferDtype([[[0]], [[1]], [[2]], [[3]]])).toBe('float32');\n });\n});\n\ndescribe('util.repeatedTry', () => {\n it('resolves', (doneFn) => {\n let counter = 0;\n const checkFn = () => {\n counter++;\n if (counter === 2) {\n return true;\n }\n return false;\n };\n\n util.repeatedTry(checkFn).then(doneFn).catch(() => {\n throw new Error('Rejected backoff.');\n });\n });\n it('rejects', (doneFn) => {\n const checkFn = () => false;\n\n util.repeatedTry(checkFn, () => 0, 5)\n .then(() => {\n throw new Error('Backoff resolved');\n })\n .catch(doneFn);\n });\n});\n\ndescribe('util.inferFromImplicitShape', () => {\n it('empty shape', () => {\n const result = util.inferFromImplicitShape([], 0);\n expect(result).toEqual([]);\n });\n\n it('[2, 3, 4] -> [2, 3, 4]', () => {\n const result = util.inferFromImplicitShape([2, 3, 4], 24);\n expect(result).toEqual([2, 3, 4]);\n });\n\n it('[2, -1, 4] -> [2, 3, 4], size=24', () => {\n const result = util.inferFromImplicitShape([2, -1, 4], 24);\n expect(result).toEqual([2, 3, 4]);\n });\n\n it('[-1, 3, 4] -> [2, 3, 4], size=24', () => {\n const result = util.inferFromImplicitShape([-1, 3, 4], 24);\n expect(result).toEqual([2, 3, 4]);\n });\n\n it('[2, 3, -1] -> [2, 3, 4], size=24', () => {\n const result = util.inferFromImplicitShape([2, 3, -1], 24);\n expect(result).toEqual([2, 3, 4]);\n });\n\n it('[2, -1, -1] throws error', () => {\n expect(() => util.inferFromImplicitShape([2, -1, -1], 24)).toThrowError();\n });\n\n it('[2, 3, -1] size=13 throws error', () => {\n expect(() => util.inferFromImplicitShape([2, 3, -1], 13)).toThrowError();\n });\n\n it('[2, 3, 4] size=25 (should be 24) throws error', () => {\n expect(() => util.inferFromImplicitShape([2, 3, 4], 25)).toThrowError();\n });\n});\n\ndescribe('util parseAxisParam', () => {\n it('axis=null returns no axes for scalar', () => {\n const axis: number = null;\n const shape: number[] = [];\n expect(util.parseAxisParam(axis, shape)).toEqual([]);\n });\n\n it('axis=null returns 0 axis for Tensor1D', () => {\n const axis: number = null;\n const shape = [4];\n expect(util.parseAxisParam(axis, shape)).toEqual([0]);\n });\n\n it('axis=null returns all axes for Tensor3D', () => {\n const axis: number[] = null;\n const shape = [3, 1, 2];\n expect(util.parseAxisParam(axis, shape)).toEqual([0, 1, 2]);\n });\n\n it('axis as a single number', () => {\n const axis = 1;\n const shape = [3, 1, 2];\n expect(util.parseAxisParam(axis, shape)).toEqual([1]);\n });\n\n it('axis as single negative number', () => {\n const axis = -1;\n const shape = [3, 1, 2];\n expect(util.parseAxisParam(axis, shape)).toEqual([2]);\n\n const axis2 = -2;\n expect(util.parseAxisParam(axis2, shape)).toEqual([1]);\n\n const axis3 = -3;\n expect(util.parseAxisParam(axis3, shape)).toEqual([0]);\n });\n\n it('axis as list of negative numbers', () => {\n const axis = [-1, -3];\n const shape = [3, 1, 2];\n expect(util.parseAxisParam(axis, shape)).toEqual([2, 0]);\n });\n\n it('axis as list of positive numbers', () => {\n const axis = [0, 2];\n const shape = [3, 1, 2];\n expect(util.parseAxisParam(axis, shape)).toEqual([0, 2]);\n });\n\n it('axis as combo of positive and negative numbers', () => {\n const axis = [0, -1];\n const shape = [3, 1, 2];\n expect(util.parseAxisParam(axis, shape)).toEqual([0, 2]);\n });\n\n it('axis out of range throws error', () => {\n const axis = -4;\n const shape = [3, 1, 2];\n expect(() => util.parseAxisParam(axis, shape)).toThrowError();\n\n const axis2 = 4;\n expect(() => util.parseAxisParam(axis2, shape)).toThrowError();\n });\n\n it('axis a list with one number out of range throws error', () => {\n const axis = [0, 4];\n const shape = [3, 1, 2];\n expect(() => util.parseAxisParam(axis, shape)).toThrowError();\n });\n\n it('axis with decimal value throws error', () => {\n const axis = 0.5;\n const shape = [3, 1, 2];\n expect(() => util.parseAxisParam(axis, shape)).toThrowError();\n });\n});\n\ndescribe('util.squeezeShape', () => {\n it('scalar', () => {\n const {newShape, keptDims} = util.squeezeShape([]);\n expect(newShape).toEqual([]);\n expect(keptDims).toEqual([]);\n });\n\n it('1x1 reduced to scalar', () => {\n const {newShape, keptDims} = util.squeezeShape([1, 1]);\n expect(newShape).toEqual([]);\n expect(keptDims).toEqual([]);\n });\n\n it('1x3x1 reduced to [3]', () => {\n const {newShape, keptDims} = util.squeezeShape([1, 3, 1]);\n expect(newShape).toEqual([3]);\n expect(keptDims).toEqual([1]);\n });\n\n it('1x1x4 reduced to [4]', () => {\n const {newShape, keptDims} = util.squeezeShape([1, 1, 4]);\n expect(newShape).toEqual([4]);\n expect(keptDims).toEqual([2]);\n });\n\n it('2x3x4 not reduction', () => {\n const {newShape, keptDims} = util.squeezeShape([2, 3, 4]);\n expect(newShape).toEqual([2, 3, 4]);\n expect(keptDims).toEqual([0, 1, 2]);\n });\n\n describe('with axis', () => {\n it('should only reduce dimensions specified by axis', () => {\n const {newShape, keptDims} = util.squeezeShape([1, 1, 1, 1, 4], [1, 2]);\n expect(newShape).toEqual([1, 1, 4]);\n expect(keptDims).toEqual([0, 3, 4]);\n });\n it('should only reduce dimensions specified by negative axis', () => {\n const {newShape, keptDims} = util.squeezeShape([1, 1, 1, 1, 4], [-2, -3]);\n expect(newShape).toEqual([1, 1, 4]);\n expect(keptDims).toEqual([0, 1, 4]);\n });\n it('should only reduce dimensions specified by negative axis', () => {\n const axis = [-2, -3];\n util.squeezeShape([1, 1, 1, 1, 4], axis);\n expect(axis).toEqual([-2, -3]);\n });\n it('throws error when specified axis is not squeezable', () => {\n expect(() => util.squeezeShape([1, 1, 2, 1, 4], [1, 2])).toThrowError();\n });\n it('throws error when specified negative axis is not squeezable', () => {\n expect(() => util.squeezeShape([1, 1, 2, 1, 4], [-1, -2])).toThrowError();\n });\n it('throws error when specified axis is out of range', () => {\n expect(() => util.squeezeShape([1, 1, 2, 1, 4], [11, 22])).toThrowError();\n });\n it('throws error when specified negative axis is out of range', () => {\n expect(() => util.squeezeShape([1, 1, 2, 1, 4], [\n -11, -22\n ])).toThrowError();\n });\n });\n});\n\ndescribe('util.checkConversionForErrors', () => {\n it('Float32Array has NaN', () => {\n expect(\n () => util.checkConversionForErrors(\n new Float32Array([1, 2, 3, NaN, 4, 255]), 'float32'))\n .toThrowError();\n });\n\n it('Float32Array has Infinity', () => {\n expect(\n () => util.checkConversionForErrors(\n new Float32Array([1, 2, 3, Infinity, 4, 255]), 'float32'))\n .toThrowError();\n });\n\n it('Int32Array has NaN', () => {\n expect(() => util.checkConversionForErrors([1, 2, 3, 4, NaN], 'int32'))\n .toThrowError();\n });\n});\n\ndescribe('util.hasEncodingLoss', () => {\n it('complex64 to any', () => {\n expect(util.hasEncodingLoss('complex64', 'complex64')).toBe(false);\n expect(util.hasEncodingLoss('complex64', 'float32')).toBe(true);\n expect(util.hasEncodingLoss('complex64', 'int32')).toBe(true);\n expect(util.hasEncodingLoss('complex64', 'bool')).toBe(true);\n });\n\n it('any to complex64', () => {\n expect(util.hasEncodingLoss('bool', 'complex64')).toBe(false);\n expect(util.hasEncodingLoss('int32', 'complex64')).toBe(false);\n expect(util.hasEncodingLoss('float32', 'complex64')).toBe(false);\n expect(util.hasEncodingLoss('complex64', 'complex64')).toBe(false);\n });\n\n it('any to float32', () => {\n expect(util.hasEncodingLoss('bool', 'float32')).toBe(false);\n expect(util.hasEncodingLoss('int32', 'float32')).toBe(false);\n expect(util.hasEncodingLoss('float32', 'float32')).toBe(false);\n expect(util.hasEncodingLoss('complex64', 'float32')).toBe(true);\n });\n\n it('float32 to any', () => {\n expect(util.hasEncodingLoss('float32', 'float32')).toBe(false);\n expect(util.hasEncodingLoss('float32', 'int32')).toBe(true);\n expect(util.hasEncodingLoss('float32', 'bool')).toBe(true);\n expect(util.hasEncodingLoss('float32', 'complex64')).toBe(false);\n });\n\n it('int32 to lower', () => {\n expect(util.hasEncodingLoss('int32', 'int32')).toBe(false);\n expect(util.hasEncodingLoss('int32', 'bool')).toBe(true);\n });\n\n it('lower to int32', () => {\n expect(util.hasEncodingLoss('bool', 'int32')).toBe(false);\n });\n\n it('bool to bool', () => {\n expect(util.hasEncodingLoss('bool', 'bool')).toBe(false);\n });\n});\n\ndescribeWithFlags('util.toNestedArray', ALL_ENVS, () => {\n it('2 dimensions', () => {\n const a = new Float32Array([1, 2, 3, 4, 5, 6]);\n expect(util.toNestedArray([2, 3], a)).toEqual([[1, 2, 3], [4, 5, 6]]);\n });\n\n it('3 dimensions (2x2x3)', () => {\n const a = new Float32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]);\n expect(util.toNestedArray([2, 2, 3], a)).toEqual([\n [[0, 1, 2], [3, 4, 5]], [[6, 7, 8], [9, 10, 11]]\n ]);\n });\n\n it('3 dimensions (3x2x2)', () => {\n const a = new Float32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]);\n expect(util.toNestedArray([3, 2, 2], a)).toEqual([\n [[0, 1], [2, 3]], [[4, 5], [6, 7]], [[8, 9], [10, 11]]\n ]);\n });\n\n it('invalid dimension', () => {\n const a = new Float32Array([1, 2, 3]);\n expect(() => util.toNestedArray([2, 2], a)).toThrowError();\n });\n\n it('tensor to nested array', async () => {\n const x = tensor2d([1, 2, 3, 4], [2, 2]);\n expect(util.toNestedArray(x.shape, await x.data())).toEqual([\n [1, 2], [3, 4]\n ]);\n });\n\n it('scalar to nested array', async () => {\n const x = scalar(1);\n expect(util.toNestedArray(x.shape, await x.data())).toEqual(1);\n });\n\n it('tensor with zero shape', () => {\n const a = new Float32Array([0, 1]);\n expect(util.toNestedArray([1, 0, 2], a)).toEqual([]);\n });\n});\n\ndescribeWithFlags('util.toNestedArray for a complex tensor', ALL_ENVS, () => {\n it('2 dimensions', () => {\n const a = new Float32Array([1, 11, 2, 12, 3, 13, 4, 14, 5, 15, 6, 16]);\n expect(util.toNestedArray([2, 3], a, true)).toEqual([\n [1, 11, 2, 12, 3, 13], [4, 14, 5, 15, 6, 16]\n ]);\n });\n\n it('3 dimensions (2x2x3)', () => {\n const a = new Float32Array([\n 0, 50, 1, 51, 2, 52, 3, 53, 4, 54, 5, 55,\n 6, 56, 7, 57, 8, 58, 9, 59, 10, 60, 11, 61\n ]);\n expect(util.toNestedArray([2, 2, 3], a, true)).toEqual([\n [[0, 50, 1, 51, 2, 52], [3, 53, 4, 54, 5, 55]],\n [[6, 56, 7, 57, 8, 58], [9, 59, 10, 60, 11, 61]]\n ]);\n });\n\n it('3 dimensions (3x2x2)', () => {\n const a = new Float32Array([\n 0, 50, 1, 51, 2, 52, 3, 53, 4, 54, 5, 55,\n 6, 56, 7, 57, 8, 58, 9, 59, 10, 60, 11, 61\n ]);\n expect(util.toNestedArray([3, 2, 2], a, true)).toEqual([\n [[0, 50, 1, 51], [2, 52, 3, 53]], [[4, 54, 5, 55], [6, 56, 7, 57]],\n [[8, 58, 9, 59], [10, 60, 11, 61]]\n ]);\n });\n\n it('invalid dimension', () => {\n const a = new Float32Array([1, 11, 2, 12, 3, 13]);\n expect(() => util.toNestedArray([2, 2], a, true)).toThrowError();\n });\n\n it('tensor to nested array', async () => {\n const x = complex([[1, 2], [3, 4]], [[11, 12], [13, 14]]);\n expect(util.toNestedArray(x.shape, await x.data(), true)).toEqual([\n [1, 11, 2, 12], [3, 13, 4, 14]\n ]);\n });\n});\n\ndescribe('util.fetch', () => {\n it('should call the platform fetch', () => {\n spyOn(tf.env().platform, 'fetch').and.callFake(() => {});\n\n util.fetch('test/path', {method: 'GET'});\n\n expect(tf.env().platform.fetch).toHaveBeenCalledWith('test/path', {\n method: 'GET'\n });\n });\n});\n\ndescribe('util.encodeString', () => {\n it('Encode an empty string, default encoding', () => {\n const res = util.encodeString('');\n expect(res).toEqual(new Uint8Array([]));\n });\n\n it('Encode an empty string, utf-8 encoding', () => {\n const res = util.encodeString('', 'utf-8');\n expect(res).toEqual(new Uint8Array([]));\n });\n\n it('Encode an empty string, invalid decoding', () => {\n expect(() => util.encodeString('', 'foobarbax')).toThrowError();\n });\n\n it('Encode cyrillic letters', () => {\n const res = util.encodeString('Kaкo стe');\n expect(res).toEqual(\n new Uint8Array([75, 97, 208, 186, 111, 32, 209, 129, 209, 130, 101]));\n });\n\n it('Encode ascii letters', () => {\n const res = util.encodeString('hello');\n expect(res).toEqual(new Uint8Array([104, 101, 108, 108, 111]));\n });\n});\n\ndescribe('util.decodeString', () => {\n it('decode an empty string', () => {\n const s = util.decodeString(new Uint8Array([]));\n expect(s).toEqual('');\n });\n\n it('decode ascii', () => {\n const s = util.decodeString(new Uint8Array([104, 101, 108, 108, 111]));\n expect(s).toEqual('hello');\n });\n\n it('decode cyrillic', () => {\n const s = util.decodeString(\n new Uint8Array([75, 97, 208, 186, 111, 32, 209, 129, 209, 130, 101]));\n expect(s).toEqual('Kaкo стe');\n });\n\n it('decode utf-16', () => {\n const s = util.decodeString(\n new Uint8Array([255, 254, 237, 139, 0, 138, 4, 89, 6, 116]), 'utf-16');\n\n // UTF-16 allows optional presence of byte-order-mark (BOM)\n // Construct string for '语言处理', with and without BOM\n const expected = String.fromCodePoint(0x8bed, 0x8a00, 0x5904, 0x7406);\n const expectedBOM =\n String.fromCodePoint(0xfeff, 0x8bed, 0x8a00, 0x5904, 0x7406);\n\n if (s.codePointAt(0) === 0xfeff) {\n expect(s).toEqual(expectedBOM);\n } else {\n expect(s).toEqual(expected);\n }\n });\n\n it('assert promise', () => {\n const promise = new Promise(() => {});\n expect(util.isPromise(promise)).toBeTruthy();\n const promise2 = {then: () => {}};\n expect(util.isPromise(promise2)).toBeTruthy();\n const promise3 = {};\n expect(util.isPromise(promise3)).toBeFalsy();\n });\n});\n"]} |