Dev cpp

Port 14: Dev 9, If 0, Class=Wireless, Driver=btusb, 12M |__ Port 14: Dev 9, If 1, Class=Wireless, Driver=btusb, 12MThe install system's usb list looks like this:/: Bus 04.Port 1: Dev 1, Class=root_hub, Driver=xhci_hcd/2p, 10000M/: Bus 03.Port 1: Dev 1, Class=root_hub, Driver=xhci_hcd/2p, 480M/: Bus 02.Port 1: Dev 1, Class=root_hub, Driver=xhci_hcd/8p, 10000M/: Bus 01.Port 1: Dev 1, Class=root_hub, Driver=xhci_hcd/16p, 480MThese are my USB controllers:~$ lsmod | grep hcd; lspci -nnk | grep "USB controller" -A200:14.0 USB controller [0c03]: Intel Corporation Comet Lake USB 3.1 xHCI Host Controller [8086:06ed] DeviceName: Onboard - Other Subsystem: Micro-Star International Co., Ltd. [MSI] Device [1462:12ed]--3a:00.0 USB controller [0c03]: Intel Corporation JHL7540 Thunderbolt 3 USB Controller [Titan Ridge 2C 2018] [8086:15e9] (rev 06) Subsystem: Micro-Star International Co., Ltd. [MSI] JHL7540 Thunderbolt 3 USB Controller [Titan Ridge 2C 2018] [1462:12ed] Kernel driver in use: xhci_hcdThese are the relevant dmesg lines:[ 12.088461] xhci_hcd 0000:00:14.0: Abort failed to stop command ring: -110[ 12.088470] xhci_hcd 0000:00:14.0: xHCI host controller not responding, assume dead[ 12.088476] xhci_hcd 0000:00:14.0: HC died; cleaning up[ 12.088541] xhci_hcd 0000:00:14.0: Timeout while waiting for setup device command...[ 12.088461] xhci_hcd 0000:00:14.0: Abort failed to stop command ring: -110[ 12.088470] xhci_hcd 0000:00:14.0: xHCI host controller not responding, assume dead[ 12.088476] xhci_hcd 0000:00:14.0: HC died; cleaning up[ 12.088541] xhci_hcd 0000:00:14.0: Timeout while waiting for setup device commandSome of the suggested fixes on-line involved unbind/bind of the devices in /sys/bus/pci/drivers/xhci_hcd/, but this did not work for me.Any help would be appreciated. Without USB my laptop is a brick.ThanksAdditional Edit# dpkg --list | grep linux-ii binutils-aarch64-linux-gnu 2.34-6ubuntu1.3 amd64 GNU binary utilities, for aarch64-linux-gnu targetii binutils-arm-linux-gnueabihf 2.34-6ubuntu1.3 amd64 GNU binary utilities, for arm-linux-gnueabihf targetii binutils-x86-64-linux-gnu 2.34-6ubuntu1.3 amd64 GNU binary utilities, for x86-64-linux-gnu targetii cpp-9-aarch64-linux-gnu 9.3.0-17ubuntu1~20.04cross2 amd64 GNU C preprocessorii cpp-9-arm-linux-gnueabihf 9.3.0-17ubuntu1~20.04cross2 amd64 GNU C preprocessorii cpp-aarch64-linux-gnu 4:9.3.0-1ubuntu2 amd64 GNU C preprocessor (cpp) for the arm64 architectureii cpp-arm-linux-gnueabihf 4:9.3.0-1ubuntu2 amd64 GNU C preprocessor (cpp) for the armhf architectureii g++-9-aarch64-linux-gnu 9.3.0-17ubuntu1~20.04cross2 amd64 GNU C++ compiler (cross compiler for arm64 architecture)ii g++-aarch64-linux-gnu 4:9.3.0-1ubuntu2 amd64 GNU C++ compiler for the arm64 architectureii gcc-9-aarch64-linux-gnu 9.3.0-17ubuntu1~20.04cross2 amd64 GNU C compiler (cross compiler for arm64 architecture)ii gcc-9-aarch64-linux-gnu-base:amd64 9.3.0-17ubuntu1~20.04cross2 amd64 GCC, the GNU

Arrowkdb IntroductionThis interface allows kdb+ to users read and write Apache Arrow data stored in:Apache Parquet file formatArrow IPC record batch file formatArrow IPC record batch stream formatThis is part of the Fusion for kdb+ interface collection.New to kdb+ ?Kdb+ is the world's fastest time-series database, optimized for ingesting, analyzing and storing massive amounts of structured data. To get started with kdb+, please visit for downloads and developer information. For general information, visit to Apache Arrow?Apache Arrow is a software development platform for building high performance applications that process and transport large data sets. It is designed to both improve the performance of analytical algorithms and the efficiency of moving data from one system (or programming language to another).A critical component of Apache Arrow is its in-memory columnar format, a standardized, language-agnostic specification for representing structured, table-like datasets in-memory. This data format has a rich data type system (included nested data types) designed to support the needs of analytic database systems, data frame libraries, and more.What is the difference between Apache Arrow and Apache Parquet?Parquet is a storage format designed for maximum space efficiency, using advanced compression and encoding techniques. It is ideal when wanting to minimize disk usage while storing gigabytes of data, or perhaps more. This efficiency comes at the cost of relatively expensive reading into memory, as Parquet data cannot be directly operated on but must be decoded in large chunks.Conversely, Arrow is an in-memory format meant for direct and efficient use for computational purposes. Arrow data is not compressed but laid out in natural format for the CPU, so that data can be accessed at arbitrary places at full speed. Therefore, Arrow and Parquet complement each other with Arrow being used as the in-memory data structure for deserializing Parquet data.InstallationRequirementskdb+ ≥ 3.5 64-bit (Linux/MacOS/Windows)Apache Arrow ≥ 9.0.0 (or ≥ 6.0.0 if building arrowkdb from source)C++14 or laterCMake ≥ 3.1.3⚠️ If using the packaged version of arrowkdb you should install version 9.0.0 of Apache ArrowThird-party library installationLinuxFollow the instructions here to install libarrow-dev and libparquet-dev from Apache's APT or Yum repositories.Note: If using the packaged version of arrowkdb you should install version 9.0.0 of both:sudo apt install -y -V libarrow-dev=9.0.0-1sudo apt install -y -V libparquet-dev=9.0.0-1macOSFollow the instructions here to install apache-arrow using Homebrew.WindowsOn Windows it is necessary to build Arrow from source. Full details are provided here but the basic steps are as follows.From a Visual Studio command prompt, clone the Arrow source from github: git clone cd arrow">C:\Git> git clone cd arrowSwitch to the 9.0.0 tag: git checkout refs/tags/apache-arrow-9.0.0 --C:\Git> cd cpp">C:\Git\arrow> git checkout refs/tags/apache-arrow-9.0.0 --C:\Git> cd cppCreate an install directory and set an environment variable to this directory (substituting the correct absolute path as appropriate). This environment variable is used again later when building arrowkdb: mkdir installC:\Git\arrow\cpp> set ARROW_INSTALL=C:\Git\arrow\cpp\install">C:\Git\arrow\cpp> mkdir installC:\Git\arrow\cpp> set ARROW_INSTALL=C:\Git\arrow\cpp\installCreate the CMake build directory and generate the build files (this will default to using the Visual Studio CMake generator when run from a VS command prompt): mkdir buildC:\Git\arrow\cpp> cd buildC:\Git\arrow\cpp\build> cmake ..

Skip to content Navigation Menu GitHub Copilot Write better code with AI Security Find and fix vulnerabilities Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Discussions Collaborate outside of code Code Search Find more, search less Explore Learning Pathways Events & Webinars Ebooks & Whitepapers Customer Stories Partners Executive Insights GitHub Sponsors Fund open source developers The ReadME Project GitHub community articles Enterprise platform AI-powered developer platform Pricing Provide feedback Saved searches Use saved searches to filter your results more quickly //blob/show;ref_cta:Sign up;ref_loc:header logged out"}"> Sign up Notifications You must be signed in to change notification settings Fork 0 Star 0 Latest commitBreadcrumbs7-zipREADME.mdFile metadata and controls12 lines (11 loc) · 387 Bytes7-ZipMy own 7-Zip build.VC2012:StartMenu -> Microsoft Visual Studio 2012 -> Open VS2012 x64 Native Tools Command Promptset CPU=AMD64cd 7z938\CPP\7zip\Bundles\Format7zFnmake -f makefile NEW_COMPILER=1cd 7z938\CPP\7zip\UI\Explorernmake -f makefile NEW_COMPILER=1copy 7z.dll && 7-zip.dll to C:\Program Files\7-Ziprestart your computer

JoystickLibraryThis library is a cross-platform solution for reading from multiple Logitech Extreme 3D Pro joysticks in a fault-tolerant fashion. It is used by a variety of systems written by Wisconsin Robotics for both direct and remote robot control.JoystickLibrary is licensed under the 3-clause BSD license.BuildingSupported platforms are Windows and Linux, and you must have a compiler that supports C++11. For the C++ library, you must have cmake installed. Additional dependencies will vary by operating system.WindowsThis library was built and tested with MSVC 19 (Visual Studio 2015). To build the C++ library, run the following:cd cpp/mkdir build/cd build/cmake ..cmake --build .You will find the built binary within src/Debug. The example application can be found within sample/Debug.To build the C# library, open up the solution file in the csharp/ folder, and compile within Visual Studio.LinuxThe Linux build depends on libevdev-dev. pkg-config must also be present on your system as well. To build, run:cd cpp/mkdir build/cmake ..makeYou will find the binaries within the src and sample folders.Example applicationThe jstester application is a simple application that displays various state information about each connected joystick. Run with jstester .

Winexe README =============Last updated 24 October 2013.Building========Winexe makes use of Samba version 4.Winexe can be built such that it is statically linked to Sambalibraries, resulting in an executable that is several megabytes insize. The winexe binary is still dynamically linked to a number ofshared libraries such as libc. On some distributions winexe can be built such that it is linked toSamba shared libraries, resulting in an executable less than 100kilobytes in size.Instructions for Samba static library build-------------------------------------------On Debian install dependencies. apt-get install \ gcc-mingw-w64 \ comerr-dev \ libpopt-dev \ libbsd-dev \ zlib1g-dev \ libc6-dev \ python-devOn RedHat-like distros including those in the following list, installdependencies. * Fedora 18 * CentOS 6 with added EPEL repo and lfarkas's repo ( yum install \ gcc \ perl \ mingw-binutils-generic \ mingw-filesystem-base \ mingw32-binutils \ mingw32-cpp \ mingw32-crt \ mingw32-filesystem \ mingw32-gcc \ mingw32-headers \ mingw64-binutils \ mingw64-cpp \ mingw64-crt \ mingw64-filesystem \ mingw64-gcc \ mingw64-headers \ libcom_err-devel \ popt-devel \ zlib-devel \ zlib-static \ glibc-devel \ glibc-static \ python-develImportant: make sure that libbsd-devel is *not* installed. yum remove \ libbsd-develObtain the Samba source code. git clone git://git.samba.org/samba.git sambaBuild. The argument of the "samba-dir" option is the path to the sambasource tree that was just obtained. The "configure" step takes a longtime because it builds Samba. cd source ./waf --samba-dir=../samba configure buildRun. build/winexe-static --helpThe build system tries to find paths to headers and libraries, but youcan also specify these as follows. ./waf configure --samba-dir=../samba --samba-inc-dirs=... --samba-lib-dirs=...Instructions for Samba shared library build-------------------------------------------The following instructions are for Debian Wheezy with Samba packagesfrom unstable (Jessie pre-release), at the time of writing the onlydistribution that has packaged Samba 4 with shared libraries. EvenJessie does not provide all the shared libraries needed by winexeas public libraries, but this can be worked around as explained below.On Debian install dependencies. apt-get install \ python2.7 \ gcc-mingw-w64 \ libtevent-devFrom Debian Jessie install dependencies. apt-get -t unstable install samba-devBuild. cd source ./waf configure buildRun. build/winexe --helpTo build the shared-library version while building the static-libraryversion, use the "--enable-shared" option. ./waf configure --samba-dir=../samba --enable-sharedIssues======1. Winexe blocked by Windows "simple file sharing" modeSome versions of Windows operate in so-called "simple file sharing" mode.In this mode, when an attempt is made to access the system over thenetwork using credentials that are local to that server or client,Windows will only provide guest level access.To fix, you have to set the "Network Access: Sharing and security modelfor local accounts" to "Classic – local users authenticate as themselves".Access it via Start > Run > secpol.msc > Local Policies > Security Options,and change "Network Access: Sharing and security model for local accounts"to "Classic - local users authenticate as themselves".Ref: Winexe blocked by Windows Remote User Account ControlThe LocalAccountTokenFilterPolicy setting affects

With Ubuntu 20.04 (Focal Fossa).Install catkin tools and vcstool if needed:sudo apt install python-catkin-tools python-vcstoolCreate a catkin workspace if not already done so:mkdir -p catkin_ws/srccd catkin_wscatkin config --init --extend /opt/ros/melodic --cmake-args -DCMAKE_BUILD_TYPE=ReleaseThen clone the repository and pull in all its dependencies using vcs-import:cd catkin_ws/srcgit clone This will pull in the following ROS dependencies that are not part of ROS:Catkin simple: messages: following system dependencies are also requiredQt 5.5 or higher (or a bit lower might be fine too)GCC 5.4 or higher (must support the C++14 standard)CMake 3.1 or higherOpenCV 3Eigen 3yaml-cppPCL 1.7 (only for loading PLY files, could easily be replaced with assimp)Boostsophus (is actually bundled as I had to make some slight adjustments to the code)QCustomPlotGLMThey are all available through the package management of Ubuntu and can be installed using apt:sudo apt install build-essential qt5-default cmake libopencv-dev libeigen3-dev \ libyaml-cpp-dev libpcl-dev ros-melodic-pcl-ros libboost-dev libqcustomplot-dev \ libglm-dev libproj-dev dh-autoreconfAll the software is contained in a ROS package and can be built and run using catkin:cd .. # should be in catkin_ws nowcatkin build direct_event_camera_trackersource devel/setup.bashTo launch it, you need a running roscore. So in one terminal runIn another terminal, pass a path to a configuration file. For example:roscd direct_event_camera_trackerrosrun direct_event_camera_tracker direct_event_camera_tracker cfg/main.yaml3. Running an ExampleDownload a dataset from /tmp/example/cd /tmp/examplewget calibration.ziprm calibration.zipCreate a configuration file with the following content (you can use the exampleconfig from the respository and adjust the paths.It also contains an explanation of the parameters):bagfile: "/tmp/example/dvs_recording3_2018-04-06-15-04-19.bag"map: "/tmp/example/room.ply"map_type: cloud # 'cloud', 'mesh' or 'auto'tracking: time_step: 20 event_count_density: 0.25