The redistribution problem

本文提供了解决使用Visual Studio 2005编译的应用程序遇到的SxS(Side by Side)问题的方法。针对Debug和Release版本的可执行文件,给出了具体的解决方案,包括复制必要的DLL文件到应用程序目录或安装相应的微软重分布包。

We may meet some “SxS (Side by Side)” problem when trying to run executables that built by VS2005. Here are some solutions:

 

If exectuables is Debug version

  • If 32-bit, copy DLLs from Microsoft Visual Studio 8/VC/redist/Debug_NonRedist/x86/Microsoft.VC80.DebugCRT  on your build machine to exe folder.
  • If 64-bit, copy DLLs from Microsoft Visual Studio 8/VC/redist/Debug_NonRedist/amd64/Microsoft.VC80.DebugCRT  on your build machine to exe folder.

If exectuables.exe is Release version

You have two options:

(A) Copy the DLLs:

  • If 32-bit, copy DLLs from Microsoft Visual Studio 8/VC/redist/x86/Microsoft.VC80.CRT  on your build machine to exe folder.
  • If 64-bit, copy DLLs from Microsoft Visual Studio 8/VC/redist/amd64/Microsoft.VC80.CRT  on your build machine to exe folder.

(B) Install the Redistribution Package from Microsoft. The package should be the same version as your VS2005.

 

这是opensource/interfaces/nfc/1.1/INqNfc.hal :/* * Copyright (c) 2019, The Linux Foundation. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are * met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above * copyright notice, this list of conditions and the following * disclaimer in the documentation and/or other materials provided * with the distribution. * * Neither the name of The Linux Foundation nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED * WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS * BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR * BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE * OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN * IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ package vendor.nxp.hardware.nfc@1.1; import @1.0::INqNfc; /* * Addition of new functions */ interface INqNfc extends @1.0::INqNfc { /* * Returns the NFC HW chip-id present in the device */ getNfcChipId() generates (string nq_chipid); /* * Returns the NFC Firmware version of the device */ getNfcFirmwareVersion() generates (string nq_fw_ver); }; 这是opensource/interfaces/nfc/1.0/INqNfc.hal :/* * Copyright (c) 2017, The Linux Foundation. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are * met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above * copyright notice, this list of conditions and the following * disclaimer in the documentation and/or other materials provided * with the distribution. * * Neither the name of The Linux Foundation nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED * WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS * BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR * BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE * OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN * IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ package vendor.nxp.hardware.nfc@1.0; interface INqNfc { /* * Performs an General Input Output operations. * * Based on the ioctlType, input data bytes are processed and * Output data bytes are generated. * * @return output data as stream of bytes */ @callflow(next={"ioctl", "write", "prediscover", "coreInitialized", "close", "powerCycle", "controlGranted"}) ioctl(uint64_t ioctlType, NfcData inputData) generates(NfcData outputData); }; 这是opensource/interfaces/nfc/1.1/Android.bp // This file is autogenerated by hidl-gen -Landroidbp. hidl_interface { name: "vendor.nxp.hardware.nfc@1.1", root: "vendor.nxp.hardware.nfc", system_ext_specific: true, visibility: [ "//packages/modules/Nfc", "//system/tools/hidl/...", ], srcs: [ "types.hal", "INqNfc.hal", ], interfaces: [ "android.hidl.base@1.0", "vendor.nxp.hardware.nfc@1.0", ], gen_java: true, } 这是opensource/interfaces/nfc/1.0/Android.bp :// This file is autogenerated by hidl-gen -Landroidbp. hidl_interface { name: "vendor.nxp.hardware.nfc@1.0", root: "vendor.nxp.hardware.nfc", system_ext_specific: true, visibility: [ "//...", ], srcs: [ "types.hal", "INqNfc.hal", ], interfaces: [ "android.hidl.base@1.0", ], gen_java: true, } 这是错误:[system]: error: packages/modules/Nfc/opensource/interfaces/nfc/1.1/Android.bp:3:1: module "vendor.nxp.hardware.nfc@1.1_genc++" (created by module "vendor.nxp.hardware.nfc@1.1_interface"): depends on //packages/modules/Nfc/opensource/interfaces/nfc/1.0:vendor.nxp.hardware.nfc@1.0_interface which is not visible to this module
09-09
根据原作 https://pan.quark.cn/s/459657bcfd45 的源码改编 Classic-ML-Methods-Algo 引言 建立这个项目,是为了梳理和总结传统机器学习(Machine Learning)方法(methods)或者算法(algo),和各位同仁相互学习交流. 现在的深度学习本质上来自于传统的神经网络模型,很大程度上是传统机器学习的延续,同时也在不少时候需要结合传统方法来实现. 任何机器学习方法基本的流程结构都是通用的;使用的评价方法也基本通用;使用的一些数学知识也是通用的. 本文在梳理传统机器学习方法算法的同时也会顺便补充这些流程,数学上的知识以供参考. 机器学习 机器学习是人工智能(Artificial Intelligence)的一个分支,也是实现人工智能最重要的手段.区别于传统的基于规则(rule-based)的算法,机器学习可以从数据中获取知识,从而实现规定的任务[Ian Goodfellow and Yoshua Bengio and Aaron Courville的Deep Learning].这些知识可以分为四种: 总结(summarization) 预测(prediction) 估计(estimation) 假想验证(hypothesis testing) 机器学习主要关心的是预测[Varian在Big Data : New Tricks for Econometrics],预测的可以是连续性的输出变量,分类,聚类或者物品之间的有趣关联. 机器学习分类 根据数据配置(setting,是否有标签,可以是连续的也可以是离散的)和任务目标,我们可以将机器学习方法分为四种: 无监督(unsupervised) 训练数据没有给定...
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