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Currently we read many small chunks from the process we're backtracing. If it so happens that it's the local process, that isn't really a big problem, but if it's a remote process, especially on Linux where we have to use the memory server, it's probably a little slow. Fix by adding a caching layer. rdar://117681625
49 lines
1.5 KiB
Swift
49 lines
1.5 KiB
Swift
//===--- ArrayImageSource.swift - An image source backed by an Array -------===//
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//
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// This source file is part of the Swift.org open source project
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//
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// Copyright (c) 2023 Apple Inc. and the Swift project authors
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// Licensed under Apache License v2.0 with Runtime Library Exception
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//
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// See https://swift.org/LICENSE.txt for license information
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// See https://swift.org/CONTRIBUTORS.txt for the list of Swift project authors
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//
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//===----------------------------------------------------------------------===//
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//
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// Defines ArrayImageSource, an image source that is backed by a Swift Array.
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//
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//===----------------------------------------------------------------------===//
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import Swift
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enum ArrayImageSourceError: Error {
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case outOfBoundsRead(UInt64, UInt64)
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}
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struct ArrayImageSource<T>: ImageSource {
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private var array: Array<T>
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public init(array: Array<T>) {
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self.array = array
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}
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public var isMappedImage: Bool { return false }
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public var path: String? { return nil }
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public var bounds: Bounds? {
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return Bounds(base: 0, size: Size(array.count * MemoryLayout<T>.stride))
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}
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public func fetch(from addr: Address,
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into buffer: UnsafeMutableRawBufferPointer) throws {
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try array.withUnsafeBytes{
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let size = Size($0.count)
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let requested = Size(buffer.count)
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if addr > size || requested > size - addr {
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throw ArrayImageSourceError.outOfBoundsRead(addr, requested)
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}
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buffer.copyBytes(from: $0[Int(addr)...])
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}
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}
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}
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