/**
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* @license
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* Copyright 2019 Google LLC. 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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/// <amd-module name="@tensorflow/tfjs-core/dist/platforms/platform" />
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import { RequestDetails } from '../io/types';
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/**
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* At any given time a single platform is active and represents and
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* implementation of this interface. In practice, a platform is an environment
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* where TensorFlow.js can be executed, e.g. the browser or Node.js.
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*/
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export interface Platform {
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/**
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* Makes an HTTP request.
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* @param path The URL path to make a request to
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* @param init The request init. See init here:
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* https://developer.mozilla.org/en-US/docs/Web/API/Request/Request
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*/
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fetch(path: string, requestInits?: RequestInit, options?: RequestDetails): Promise<Response>;
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/**
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* Returns the current high-resolution time in milliseconds relative to an
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* arbitrary time in the past. It works across different platforms (node.js,
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* browsers).
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*/
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now(): number;
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/**
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* Encode the provided string into an array of bytes using the provided
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* encoding.
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*/
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encode(text: string, encoding: string): Uint8Array;
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/** Decode the provided bytes into a string using the provided encoding. */
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decode(bytes: Uint8Array, encoding: string): string;
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setTimeoutCustom?(functionRef: Function, delay: number): void;
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isTypedArray(a: unknown): a is Float32Array | Int32Array | Uint8Array | Uint8ClampedArray;
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}
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