/// <amd-module name="@tensorflow/tfjs-core/dist/ops/setdiff1d_async" />
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/**
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* @license
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* Copyright 2020 Google Inc. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import { Tensor } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Computes the difference between two lists of numbers.
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*
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* Given a Tensor `x` and a Tensor `y`, this operation returns a Tensor `out`
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* that represents all values that are in `x` but not in `y`. The returned
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* Tensor `out` is sorted in the same order that the numbers appear in `x`
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* (duplicates are preserved). This operation also returns a Tensor indices that
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* represents the position of each out element in `x`. In other words:
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*
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* `out[i] = x[idx[i]] for i in [0, 1, ..., out.length - 1]`
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*
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* ```js
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* const x = [1, 2, 3, 4, 5, 6];
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* const y = [1, 3, 5];
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*
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* const [out, indices] = await tf.setdiff1dAsync(x, y);
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* out.print(); // [2, 4, 6]
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* indices.print(); // [1, 3, 5]
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* ```
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*
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* @param x 1-D Tensor. Values to keep.
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* @param y 1-D Tensor. Must have the same type as x. Values to exclude in the
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* output.
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* @returns Promise of Tensor tuple [out, indices].
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* out: Tensor with the same type as x.
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* indices: A Tensor of type int32.
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*
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* @doc {heading: 'Tensors', subheading: 'Transformations'}
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*/
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declare function setdiff1dAsync_(x: Tensor | TensorLike, y: Tensor | TensorLike): Promise<[Tensor, Tensor]>;
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export declare const setdiff1dAsync: typeof setdiff1dAsync_;
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export {};
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