Dh-Virtualenv Documentation Release 1.2.2
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RZ/G Verified Linux Package for 64Bit Kernel V1.0.5-RT Release Note For
Release Note RZ/G Verified Linux Package for 64bit kernel Version 1.0.5-RT R01TU0311EJ0102 Rev. 1.02 Release Note for HTML5 Sep 7, 2020 Introduction This release note describes the contents, building procedures for HTML5 (Gecko) and important points of the RZ/G Verified Linux Package for 64bit kernel (hereinafter referred to as “VLP64”). In this release, Linux packages for HTML5 is preliminary and provided AS IS with no warranty. If you need information to build Linux BSPs without a GUI Framework of HTML5, please refer to “RZ/G Verified Linux Package for 64bit kernel Version 1.0.5-RT Release Note”. Contents 1. Release Items ................................................................................................................. 2 2. Build environment .......................................................................................................... 4 3. Building Instructions ...................................................................................................... 6 3.1 Setup the Linux Host PC to build images ................................................................................. 6 3.2 Building images to run on the board ........................................................................................ 8 3.3 Building SDK ............................................................................................................................. 12 4. Components ................................................................................................................. 13 5. Restrictions -
Debian Installation Manual
Powered by Universal Speech Solutions LLC MRCP Deb Installation Manual Administrator Guide Revision: 70 Created: February 7, 2015 Last updated: March 15, 2021 Author: Arsen Chaloyan Powered by Universal Speech Solutions LLC | Overview 1 Table of Contents 1 Overview ............................................................................................................................................... 3 1.1 Applicable Versions ............................................................................................................ 3 1.2 Supported Distributions ...................................................................................................... 3 1.3 Authentication ..................................................................................................................... 3 2 Installing Deb Packages Using Apt-Get ............................................................................................... 4 2.1 Repository Configuration ................................................................................................... 4 2.2 GnuPG Key ......................................................................................................................... 4 2.3 Repository Update .............................................................................................................. 4 2.4 UniMRCP Client Installation .............................................................................................. 5 2.5 UniMRCP Server Installation ............................................................................................ -
Xcode Package from App Store
KH Computational Physics- 2016 Introduction Setting up your computing environment Installation • MAC or Linux are the preferred operating system in this course on scientific computing. • Windows can be used, but the most important programs must be installed – python : There is a nice package ”Enthought Python Distribution” http://www.enthought.com/products/edudownload.php – C++ and Fortran compiler – BLAS&LAPACK for linear algebra – plotting program such as gnuplot Kristjan Haule, 2016 –1– KH Computational Physics- 2016 Introduction Software for this course: Essentials: • Python, and its packages in particular numpy, scipy, matplotlib • C++ compiler such as gcc • Text editor for coding (for example Emacs, Aquamacs, Enthought’s IDLE) • make to execute makefiles Highly Recommended: • Fortran compiler, such as gfortran or intel fortran • BLAS& LAPACK library for linear algebra (most likely provided by vendor) • open mp enabled fortran and C++ compiler Useful: • gnuplot for fast plotting. • gsl (Gnu scientific library) for implementation of various scientific algorithms. Kristjan Haule, 2016 –2– KH Computational Physics- 2016 Introduction Installation on MAC • Install Xcode package from App Store. • Install ‘‘Command Line Tools’’ from Apple’s software site. For Mavericks and lafter, open Xcode program, and choose from the menu Xcode -> Open Developer Tool -> More Developer Tools... You will be linked to the Apple page that allows you to access downloads for Xcode. You wil have to register as a developer (free). Search for the Xcode Command Line Tools in the search box in the upper left. Download and install the correct version of the Command Line Tools, for example for OS ”El Capitan” and Xcode 7.2, Kristjan Haule, 2016 –3– KH Computational Physics- 2016 Introduction you need Command Line Tools OS X 10.11 for Xcode 7.2 Apple’s Xcode contains many libraries and compilers for Mac systems. -
Intel® Realsense™ SDK 2.0 Github User Guide
Intel® RealSense™ SDK 2.0 Github User Guide May 2018 Revision 002 Document Number: 337595-002 You may not use or facilitate the use of this document in connection with any infringement or other legal analysis concerning Intel products described herein. You agree to grant Intel a non-exclusive, royalty-free license to any patent claim thereafter drafted which includes subject matter disclosed herein. No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with the system manufacturer or retailer or learn more at intel.com. Intel technologies may require enabled hardware, specific software, or services activation. Check with the system manufacturer or retailer. The products described may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Intel disclaims all express and implied warranties, including without limitation, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement, as well as any warranty arising from course of performance, course of dealing, or usage in trade. All information provided here is subject to change without notice. Contact the Intel representative to obtain the latest Intel product specifications and roadmaps. Copies of documents which have an order number and are referenced in this document may be obtained by calling 1-800-548- 4725 or visit www.intel.com/design/literature.htm. -
Yocto-Slides.Pdf
Yocto Project and OpenEmbedded Training Yocto Project and OpenEmbedded Training © Copyright 2004-2021, Bootlin. Creative Commons BY-SA 3.0 license. Latest update: October 6, 2021. Document updates and sources: https://bootlin.com/doc/training/yocto Corrections, suggestions, contributions and translations are welcome! embedded Linux and kernel engineering Send them to [email protected] - Kernel, drivers and embedded Linux - Development, consulting, training and support - https://bootlin.com 1/296 Rights to copy © Copyright 2004-2021, Bootlin License: Creative Commons Attribution - Share Alike 3.0 https://creativecommons.org/licenses/by-sa/3.0/legalcode You are free: I to copy, distribute, display, and perform the work I to make derivative works I to make commercial use of the work Under the following conditions: I Attribution. You must give the original author credit. I Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under a license identical to this one. I For any reuse or distribution, you must make clear to others the license terms of this work. I Any of these conditions can be waived if you get permission from the copyright holder. Your fair use and other rights are in no way affected by the above. Document sources: https://github.com/bootlin/training-materials/ - Kernel, drivers and embedded Linux - Development, consulting, training and support - https://bootlin.com 2/296 Hyperlinks in the document There are many hyperlinks in the document I Regular hyperlinks: https://kernel.org/ I Kernel documentation links: dev-tools/kasan I Links to kernel source files and directories: drivers/input/ include/linux/fb.h I Links to the declarations, definitions and instances of kernel symbols (functions, types, data, structures): platform_get_irq() GFP_KERNEL struct file_operations - Kernel, drivers and embedded Linux - Development, consulting, training and support - https://bootlin.com 3/296 Company at a glance I Engineering company created in 2004, named ”Free Electrons” until Feb. -
Installing and Running Tensorflow
Installing and Running Tensorflow DOWNLOAD AND INSTALLATION INSTRUCTIONS TensorFlow is now distributed under an Apache v2 open source license on GitHub. STEP 1. INSTALL NVIDIA CUDA To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit. STEP 2. INSTALL NVIDIA CUDNN Once the CUDA Toolkit is installed, download cuDNN v5.1 Library for Linux (note that you will need to register for the Accelerated Computing Developer Program). Once downloaded, uncompress the files and copy them into the CUDA Toolkit directory (assumed here to be in /usr/local/cuda/): $ sudo tar -xvf cudnn-8.0-linux-x64-v5.1-rc.tgz -C /usr/local STEP 3. INSTALL AND UPGRADE PIP TensorFlow itself can be installed using the pip package manager. First, make sure that your system has pip installed and updated: $ sudo apt-get install python-pip python-dev $ pip install --upgrade pip STEP 4. INSTALL BAZEL To build TensorFlow from source, the Bazel build system must first be installed as follows. Full details are available here. $ sudo apt-get install software-properties-common swig $ sudo add-apt-repository ppa:webupd8team/java $ sudo apt-get update $ sudo apt-get install oracle-java8-installer $ echo "deb http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list $ curl https://storage.googleapis.com/bazel-apt/doc/apt-key.pub.gpg | sudo apt-key add - $ sudo apt-get update $ sudo apt-get install bazel STEP 5. INSTALL TENSORFLOW To obtain the best performance with TensorFlow we recommend building it from source. First, clone the TensorFlow source code repository: $ git clone https://github.com/tensorflow/tensorflow $ cd tensorflow $ git reset --hard 70de76e Then run the configure script as follows: $ ./configure Please specify the location of python. -
Fpm Documentation Release 1.7.0
fpm Documentation Release 1.7.0 Jordan Sissel Sep 08, 2017 Contents 1 Backstory 3 2 The Solution - FPM 5 3 Things that should work 7 4 Table of Contents 9 4.1 What is FPM?..............................................9 4.2 Installation................................................ 10 4.3 Use Cases................................................. 11 4.4 Packages................................................. 13 4.5 Want to contribute? Or need help?.................................... 21 4.6 Release Notes and Change Log..................................... 22 i ii fpm Documentation, Release 1.7.0 Note: The documentation here is a work-in-progress. If you want to contribute new docs or report problems, I invite you to do so on the project issue tracker. The goal of fpm is to make it easy and quick to build packages such as rpms, debs, OSX packages, etc. fpm, as a project, exists with the following principles in mind: • If fpm is not helping you make packages easily, then there is a bug in fpm. • If you are having a bad time with fpm, then there is a bug in fpm. • If the documentation is confusing, then this is a bug in fpm. If there is a bug in fpm, then we can work together to fix it. If you wish to report a bug/problem/whatever, I welcome you to do on the project issue tracker. You can find out how to use fpm in the documentation. Contents 1 fpm Documentation, Release 1.7.0 2 Contents CHAPTER 1 Backstory Sometimes packaging is done wrong (because you can’t do it right for all situations), but small tweaks can fix it. -
ROOT Package Management: “Lazy Install” Approach
ROOT package management: “lazy install” approach Oksana Shadura ROOT Monday meeting Outline ● How we can improve artifact management (“lazy-install”) system for ROOT ● How to organise dependency management for ROOT ● Improvements to ROOT CMake build system ● Use cases for installing artifacts in the same ROOT session Goals ● Familiarize ROOT team with our planned work ● Explain key misunderstandings ● Give a technical overview of root-get ● Explain how root-get and cmake can work in synergy Non Goals We are not planning to replace CMake No change to the default build system of ROOT No duplication of functionality We are planning to “fill empty holes” for CMake General overview Manifest - why we need it? ● Easy to write ● Easy to parse, while CMakeLists.txt is impossible to parse ● Collect information from ROOT’s dependencies + from “builtin dependencies” + OS dependencies + external packages to be plugged in ROOT (to be resolved after using DAG) ● It can be easily exported back as a CMakeLists.txt ● It can have extra data elements [not only what is in CMakeLists.txt, but store extra info] ○ Dependencies description (github links, semantic versioning) ■ url: "ssh://[email protected]/Greeter.git", ■ versions: Version(1,0,0)..<Version(2,0,0) Manifest is a “dump” of status of build system (BS), where root-get is just a helper for BS Manifest - Sample Usage scenarios and benefits of manifest files: LLVM/Clang LLVM use CMake as a LLVMBuild utility that organize LLVM in a hierarchy of manifest files of components to be used by build system llvm-build, that is responsible for loading, verifying, and manipulating the project's component data. -
Setting up Your Environment
APPENDIX A Setting Up Your Environment Choosing the correct tools to work with asyncio is a non-trivial choice, since it can significantly impact the availability and performance of asyncio. In this appendix, we discuss the interpreter and the packaging options that influence your asyncio experience. The Interpreter Depending on the API version of the interpreter, the syntax of declaring coroutines change and the suggestions considering API usage change. (Passing the loop parameter is considered deprecated for APIs newer than 3.6, instantiating your own loop should happen only in rare circumstances in Python 3.7, etc.) Availability Python interpreters adhere to the standard in varying degrees. This is because they are implementations/manifestations of the Python language specification, which is managed by the PSF. At the time of this writing, three relevant interpreters support at least parts of asyncio out of the box: CPython, MicroPython, and PyPy. © Mohamed Mustapha Tahrioui 2019 293 M. M. Tahrioui, asyncio Recipes, https://doi.org/10.1007/978-1-4842-4401-2 APPENDIX A SeTTinG Up YouR EnViROnMenT Since we are ideally interested in a complete or semi-complete implementation of asyncio, our choice is limited to CPython and PyPy. Both of these products have a great community. Since we are ideally using a lot powerful stdlib features, it is inevitable to pose the question of implementation completeness of a given interpreter with respect to the Python specification. The CPython interpreter is the reference implementation of the language specification and hence it adheres to the largest set of features in the language specification. At the point of this writing, CPython was targeting API version 3.7. -
Open Data User Guide.Pdf
PARTICIPANT’S GUIDE Virtual Machine Connection Details Hostname: hackwe1.cs.uwindsor.ca Operating System: Debian 6.0 (“Squeeze”) IP Address: 137.207.82.181 Middleware: Node.js, Perl, PHP, Python DBMS: MySQL, PostgreSQL Connection Type: SSH Web Server: Apache 2.2 UserID: root Available Text Editors: nano, vi Password: Nekhiav3 UserID: hackwe Feel free to install additional packages or tools. Password: Imusyeg6 Google Maps API Important Paths and Links Follow this quick tutorial to get started Home Directory https://developers.google.com/maps/documentation/javascript/tutorial /home/hackwe The most common objects you will use are LatLng objects which store a lati- tude and longitude, and Marker objects which place a point on a Map object APT Package Management Tool help.ubuntu.com/community/AptGet/Howto LatLng Object developers.google.com/maps/documentation/javascript/reference#LatLng City of Windsor Open Data Catalogue Marker Object www.citywindsor.ca/opendata/Pages/Open-Data- developers.google.com/maps/documentation/javascript/reference#Marker Catalogue.aspx Map Object Windsor Hackforge developers.google.com/maps/documentation/javascript/reference#Map hackf.org WeTech Alliance wetech-alliance.com XKCD xkcd.com PARTICIPANT’S GUIDE Working with Geospatial (SHP) Data in Linux Node.js Python To manipulate shape files in Python 2.x, you’ll need the pyshp package. These Required Libraries instructions will quickly outline how to install and use this package to get GIS data out of *.shp files. node-shp: Github - https://github.com/yuletide/node-shp Installation npm - https://npmjs.org/package/shp To install pyshp you first must have setuptools installed in your python site- packages. -
Greetings from Slackbuilds.Org
Greetings from SlackBuilds.org David Spencer pkgsrcCon 2017 About SBo 11 years old conventional ports-inspired setup ● from source ftw ● shell script + metadata ~6500 packages disjoint from core Slackware (~1400 packages) lightweight project one new server, one old server About SBo ~250 maintainers active in last year ~12500 commits in last year no bugtracker no CI ● Infrastructure is a productivity killer ● Aggressively reductionist on dep management ● Vanilla from upstream, patch only when needed ● Don’t split packages ● git git baby About SBo submissions are open ambition to submit ‘something’ is a thing maintainers drop in and drop out review must be sympathetic volunteers are a pipeline not a funnel don’t crush people’s dreams maintainer is expert on the software reviewer (admin) is expert on good packaging no room for style variations About SBo Education needs to be a thing No time in review feedback hurts, doesn’t scale Currently done on mailing list & forum ● CI as education Listening systemd refugees rolling release ● stable versus current out of date / security / unmaintained upstream disappearing SBo maintainers disappearing sources and projects ● repology ● keeps mailing list active Happy community Users helping each other Tools Satellite projects Package all the obscure things ● if it exists it will attract users Unopened letter to the world Need to educate upstreams proper releases with proper tarballs don’t move or delete old tarballs learn to write a decent Makefile no, I don’t want your stinking CFLAGS don’t use -Werror -
Khal Documentation Release 0.9.1
khal Documentation Release 0.9.1 Christan Geier et al. January 25, 2017 Contents 1 Features 3 2 Table of Contents 5 i ii khal Documentation, Release 0.9.1 Khal is a standards based CLI (console) calendar program, able to synchronize with CalDAV servers through vdirsyncer. Contents 1 khal Documentation, Release 0.9.1 2 Contents CHAPTER 1 Features (or rather: limitations) • khal can read and write events/icalendars to vdir, so vdirsyncer can be used to synchronize calendars with a variety of other programs, for example CalDAV servers. • fast and easy way to add new events • ikhal (interactive khal) lets you browse and edit calendars and events • only rudimentary support for creating and editing recursion rules • you cannot edit the timezones of events • works with python 3.3+ • khal should run on all major operating systems 1 1 except for Microsoft Windows 3 khal Documentation, Release 0.9.1 4 Chapter 1. Features CHAPTER 2 Table of Contents 2.1 Installation If khal is packaged for your OS/distribution, using your system’s standard package manager is probably the easiest way to install khal. khal has been packaged for, among others: Arch Linux (stable and development versions), Debian, Fedora, FreeBSD, Guix, and pkgsrc. If a package isn’t available (or it is outdated) you need to fall back to one of the methods mentioned below. 2.1.1 Install via Python’s Package Managers Since khal is written in python, you can use one of the package managers available to install python packages, e.g. pip. You can install the latest released version of khal by executing: pip install khal or the latest development version by executing: pip install git+git://github.com/pimutils/khal.git This should also take care of installing all required dependencies.