/**
 * @license
 * Copyright 2018 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import * as tf from './index';
import { ALL_ENVS, describeWithFlags } from './jasmine_util';
import { expectArraysClose, expectArraysEqual } from './test_util';
describeWithFlags('tf.buffer', ALL_ENVS, () => {
    it('float32', async () => {
        const buff = tf.buffer([1, 2, 3], 'float32');
        buff.set(1.3, 0, 0, 0);
        buff.set(2.9, 0, 1, 0);
        expect(buff.get(0, 0, 0)).toBeCloseTo(1.3);
        expect(buff.get(0, 0, 1)).toBeCloseTo(0);
        expect(buff.get(0, 0, 2)).toBeCloseTo(0);
        expect(buff.get(0, 1, 0)).toBeCloseTo(2.9);
        expect(buff.get(0, 1, 1)).toBeCloseTo(0);
        expect(buff.get(0, 1, 2)).toBeCloseTo(0);
        expectArraysClose(await buff.toTensor().data(), [1.3, 0, 0, 2.9, 0, 0]);
        expectArraysClose(buff.values, new Float32Array([1.3, 0, 0, 2.9, 0, 0]));
    });
    it('get() out of range throws', async () => {
        const t = tf.tensor([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);
        const buff = await t.buffer();
        expect(buff.get(0, 0, 0)).toBeCloseTo(1);
        expect(buff.get(0, 0, 1)).toBeCloseTo(2);
        expect(() => buff.get(0, 0, 2))
            .toThrowError(/Requested out of range element/);
    });
    it('int32', async () => {
        const buff = tf.buffer([2, 3], 'int32');
        buff.set(1.3, 0, 0);
        buff.set(2.1, 1, 1);
        expect(buff.get(0, 0)).toEqual(1);
        expect(buff.get(0, 1)).toEqual(0);
        expect(buff.get(0, 2)).toEqual(0);
        expect(buff.get(1, 0)).toEqual(0);
        expect(buff.get(1, 1)).toEqual(2);
        expect(buff.get(1, 2)).toEqual(0);
        expectArraysClose(await buff.toTensor().data(), [1, 0, 0, 0, 2, 0]);
        expectArraysClose(buff.values, new Int32Array([1, 0, 0, 0, 2, 0]));
    });
    it('bool', async () => {
        const buff = tf.buffer([4], 'bool');
        buff.set(true, 1);
        buff.set(true, 2);
        expect(buff.get(0)).toBeFalsy();
        expect(buff.get(1)).toBeTruthy();
        expect(buff.get(2)).toBeTruthy();
        expect(buff.get(3)).toBeFalsy();
        expectArraysClose(await buff.toTensor().data(), [0, 1, 1, 0]);
        expectArraysClose(buff.values, new Uint8Array([0, 1, 1, 0]));
    });
    it('string', async () => {
        const buff = tf.buffer([2, 2], 'string');
        buff.set('first', 0, 0);
        buff.set('third', 1, 0);
        expect(buff.get(0, 0)).toEqual('first');
        expect(buff.get(0, 1)).toBeFalsy();
        expect(buff.get(1, 0)).toEqual('third');
        expect(buff.get(1, 1)).toBeFalsy();
        expectArraysEqual(await buff.toTensor().data(), ['first', null, 'third', null]);
    });
    it('throws when passed non-integer shape', () => {
        const msg = 'Tensor must have a shape comprised of positive ' +
            'integers but got shape [2,2.2].';
        expect(() => tf.buffer([2, 2.2])).toThrowError(msg);
    });
    it('throws when passed negative shape', () => {
        const msg = 'Tensor must have a shape comprised of positive ' +
            'integers but got shape [2,-2].';
        expect(() => tf.buffer([2, -2])).toThrowError(msg);
    });
});
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* @license\n * Copyright 2018 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 {expectArraysClose, expectArraysEqual} from './test_util';\n\ndescribeWithFlags('tf.buffer', ALL_ENVS, () => {\n  it('float32', async () => {\n    const buff = tf.buffer([1, 2, 3], 'float32');\n    buff.set(1.3, 0, 0, 0);\n    buff.set(2.9, 0, 1, 0);\n    expect(buff.get(0, 0, 0)).toBeCloseTo(1.3);\n    expect(buff.get(0, 0, 1)).toBeCloseTo(0);\n    expect(buff.get(0, 0, 2)).toBeCloseTo(0);\n    expect(buff.get(0, 1, 0)).toBeCloseTo(2.9);\n    expect(buff.get(0, 1, 1)).toBeCloseTo(0);\n    expect(buff.get(0, 1, 2)).toBeCloseTo(0);\n    expectArraysClose(await buff.toTensor().data(), [1.3, 0, 0, 2.9, 0, 0]);\n    expectArraysClose(buff.values, new Float32Array([1.3, 0, 0, 2.9, 0, 0]));\n  });\n\n  it('get() out of range throws', async () => {\n    const t = tf.tensor([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);\n\n    const buff = await t.buffer();\n    expect(buff.get(0, 0, 0)).toBeCloseTo(1);\n    expect(buff.get(0, 0, 1)).toBeCloseTo(2);\n    expect(() => buff.get(0, 0, 2))\n        .toThrowError(/Requested out of range element/);\n  });\n\n  it('int32', async () => {\n    const buff = tf.buffer([2, 3], 'int32');\n    buff.set(1.3, 0, 0);\n    buff.set(2.1, 1, 1);\n    expect(buff.get(0, 0)).toEqual(1);\n    expect(buff.get(0, 1)).toEqual(0);\n    expect(buff.get(0, 2)).toEqual(0);\n    expect(buff.get(1, 0)).toEqual(0);\n    expect(buff.get(1, 1)).toEqual(2);\n    expect(buff.get(1, 2)).toEqual(0);\n    expectArraysClose(await buff.toTensor().data(), [1, 0, 0, 0, 2, 0]);\n    expectArraysClose(buff.values, new Int32Array([1, 0, 0, 0, 2, 0]));\n  });\n\n  it('bool', async () => {\n    const buff = tf.buffer([4], 'bool');\n    buff.set(true, 1);\n    buff.set(true, 2);\n    expect(buff.get(0)).toBeFalsy();\n    expect(buff.get(1)).toBeTruthy();\n    expect(buff.get(2)).toBeTruthy();\n    expect(buff.get(3)).toBeFalsy();\n    expectArraysClose(await buff.toTensor().data(), [0, 1, 1, 0]);\n    expectArraysClose(buff.values, new Uint8Array([0, 1, 1, 0]));\n  });\n\n  it('string', async () => {\n    const buff = tf.buffer([2, 2], 'string');\n    buff.set('first', 0, 0);\n    buff.set('third', 1, 0);\n    expect(buff.get(0, 0)).toEqual('first');\n    expect(buff.get(0, 1)).toBeFalsy();\n    expect(buff.get(1, 0)).toEqual('third');\n    expect(buff.get(1, 1)).toBeFalsy();\n    expectArraysEqual(\n        await buff.toTensor().data(), ['first', null, 'third', null]);\n  });\n\n  it('throws when passed non-integer shape', () => {\n    const msg = 'Tensor must have a shape comprised of positive ' +\n        'integers but got shape [2,2.2].';\n    expect(() => tf.buffer([2, 2.2])).toThrowError(msg);\n  });\n\n  it('throws when passed negative shape', () => {\n    const msg = 'Tensor must have a shape comprised of positive ' +\n        'integers but got shape [2,-2].';\n    expect(() => tf.buffer([2, -2])).toThrowError(msg);\n  });\n});\n"]}