DOCSLIB.ORG

Sigal Release 1.0.0

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Sigal Release 1.0.0 Sigal Release 1.0.0 September 07, 2015 Contents 1 Themes & Demo 3 2 Documentation 5 2.1 Installation................................................5 2.2 Getting started..............................................6 2.3 Configuration...............................................7 2.4 Album information............................................ 11 2.5 Image information............................................ 11 2.6 Themes.................................................. 12 2.7 Plugins.................................................. 14 2.8 Contributing guidelines......................................... 18 2.9 Changelog................................................ 19 Python Module Index 25 i ii Sigal, Release 1.0.0 Sigal is yet another simple static gallery generator. It’s written in Python and it allows to build a static gallery of images with the following features: • Process directories recursively. • Generate HTML pages using jinja2 templates. • Relative links for a portable output. • Support themes, videos, EXIF tags, zip download. • Parallel processing. • MIT licensed. The idea behind Sigal is to ease the use of the javascript libraries like galleria. These libraries do a great job to display the images, Sigal does what is missing: resize images, create thumbnails, generate HTML pages. Sigal is compatible with Python 2.7 and 3.3+. Links : • Latest documentation on the website • Source, issues and pull requests on GitHub • Releases on PyPI • #sigal on Freenode, or with the webchat interface. • Mailing list at Librelist (Archives). Contents 1 Sigal, Release 1.0.0 2 Contents CHAPTER 1 Themes & Demo Sigal comes with three themes, based on the colorbox, galleria and photoswipe Javascript libraries: • colorbox demo • galleria demo • photoswipe demo 3 Sigal, Release 1.0.0 4 Chapter 1. Themes & Demo CHAPTER 2 Documentation 2.1 Installation Install the extension with one of the following commands: $ easy_install sigal or alternatively if you have pip installed: $ pip install sigal 2.1.1 Dependencies • Click • Jinja2 • Pilkit • Python Imaging Library (PIL / Pillow, see below) • Python Markdown 2.1.2 PIL or Pillow ? PIL is almost dead, the last release was in 2009. If possible you should prefer to use Pillow, a fork of PIL which is actively developped, with packaging improvements, Python 3 compatibility, etc. You can install Pillow with pip install Pillow, preferably in a virtualenv. To have JPG and PNG support, you must first install the developpement packages of libjpeg, freetype2 and zlib. • For Debian/Ubuntu, this is possible with: apt-get build-dep python-dev python-imaging Debian/Sid users can use the experimental python-imaging package that is built from Pillow source. • For Archlinux, there is a package for sigal in the AUR which already uses Pillow. 5 Sigal, Release 1.0.0 2.2 Getting started 2.2.1 How to Use Initialize To get started, just run sigal init which will copy an example configuration file in the current directory. All configuration values have a default; values that are commented out serve to show the default. Default values are specified when modified in this example config file. Build After adapting the configuration to your needs, put your images in a sub-directory and run sigal build <your images directory>. The next time you run sigal build, only the new images will be processed. You can use the -f flag to force the reprocessing of all the images. Images (resp. videos) that are smaller than the size specified by the img_size (resp. video_size) setting will not be resized. You may also want to know how to specify information about albums and images. Serve To visualize your gallery, you can use sigal serve which runs a basic web server. This server should only be used for local browsing, not in production. Another option is to use the index_in_url = True setting, which will add index.html to the urls to allow browsing without a server. 2.2.2 Help on the sigal build command $ sigal build [-h] [-d] [-v] [-f] [-c CONFIG] [-t THEME] [-n NCPU] [source] [destination] Required arguments: source Input directory destination Output directory (default: _build/) Optional arguments: -h, --help Show this help message and exit -f, --force Force the reprocessing of existing images and thumbnails -v, --verbose Show all messages -d, --debug Show all message, including debug messages -c CONFIG, --config CONFIG Configuration file (default: sigal.conf.py in the current working direc- tory) -t THEME, --theme THEME Specify a theme directory, or a theme name for the themes included with Sigal -n NCPU, --ncpu NCPU Number of cpu to use (default: all) 2.2.3 Help on the sigal serve command $ sigal serve [-c CONFIG] [-p PORT] [destination] Optional arguments: -c CONFIG, --config CONFIG Configuration file (default: sigal.conf.py in the current working direc- tory) 6 Chapter 2. Documentation Sigal, Release 1.0.0 -p PORT, --port PORT Port number to start the server on (default: 8000) destination Destination directory where the output of build is located (default: _build) 2.3 Configuration The configuration must be set in a sigal.conf.py file in the current directory. It can also be specified with the -c flag. An example file with explanations on the settings is available in sigal/templates/sigal.conf.py and is shown below. This file is copied to the current directory with the sigal init commmand. #-*- coding: utf-8 -*- # # All configuration values have a default; values that are commented out serve # to show the default. Default values are specified when modified in this # example config file # Gallery title. Can be set here or as the '--title' option of the `sigal # build` command, or in the 'index.md' file of the source directory. # The priority order is: cli option > settings file > index.md file # title = "Sigal test gallery" # --------------------- # General configuration # --------------------- # Source directory. Can be set here or as the first argument of the `sigal # build` command source='pictures' # Destination directory. Can be set here or as the second argument of the # `sigal build` command (default: '_build') # destination = '_build' # Theme : # - colorbox (default), galleria, photoswipe, or the path to a custom theme directory theme='galleria' # Author. Used in the footer of the pages and in the author meta tag. # author = '' # Use originals in gallery (default: False). If True, this will bypass all # processing steps (resize, auto-orient, recompress, and any plugin-specific # step). # Originals will be symlinked if orig_link = True, else they will be copied. # use_orig = False # ---------------- # Image processing (ignored if use_orig = True) # ---------------- # Size of resized image (default: (640, 480)) img_size=(800, 600) # Should we use openlayers to show a map of the images where possible? # This option only has an effect on the galleria theme for the while. # show_map = False 2.3. Configuration 7 Sigal, Release 1.0.0 # Pilkit processor used to resize the image # (see http://pilkit.readthedocs.org/en/latest/#processors) # - ResizeToFit: fit the image within the specified dimensions (default) # - ResizeToFill: crop THE IMAGE it to the exact specified width and height # - SmartResize: identical to ResizeToFill, but uses entropy to crop the image # - None: don't resize # img_processor = 'ResizeToFit' # Autorotate images # Warning: this setting is not compatible with `copy_exif_data` (see below), # because Sigal can't save the modified Orientation tag (currently Pillow can't # write EXIF). # autorotate_images = True # If True, EXIF data from the original image is copied to the resized image # copy_exif_data = False # Jpeg options # jpg_options = {'quality': 85, # 'optimize': True, # 'progressive': True} # -------------------- # Thumbnail generation # -------------------- # Generate thumbnails # make_thumbs = True # Subdirectory of the thumbnails # thumb_dir = 'thumbnails' # Prefix and/or suffix for thumbnail filenames (default: '') # thumb_prefix = '' # thumb_suffix = '.tn' # Thumbnail size (default: (200, 150)) # For the galleria theme, use 280 px for the width # For the colorbox and photoswipe theme, use 200 px for the width thumb_size=(280, 210) # Crop the image to fill the box # thumb_fit = True # Delay in seconds to avoid black thumbnails in videos with fade-in # thumb_video_delay = '0' # Keep original image (default: False) # keep_orig = True # Subdirectory for original images # orig_dir = 'original' # Use symbolic links instead of copying the original images # orig_link = False # Reverse sort for albums # albums_sort_reverse = False 8 Chapter 2. Documentation Sigal, Release 1.0.0 # Attribute of Media objects which is used to sort medias. 'date' can be used # to sort with EXIF dates. # medias_sort_attr = 'filename' # Reverse sort for medias # medias_sort_reverse = False # Filter directories and files. # The settings take a list of patterns matched with the fnmatch module on the # path relative to the source directory: # http://docs.python.org/2/library/fnmatch.html ignore_directories=[] ignore_files=[] # ------------- # Video options # ------------- # Video format # specify an alternative format, valid are 'webm' (default) and 'mp4' # video_format = 'webm' # Webm options # Options used in ffmpeg to encode the webm video. You may want to read # http://ffmpeg.org/trac/ffmpeg/wiki/vpxEncodingGuide # Be aware of the fact these options need to be passed as strings. If you are # using avconv (for example with Ubuntu), you will need to adapt the settings. # webm_options = ['-crf', '10', '-b:v', '1.6M', # '-qmin', '4', '-qmax',
Load more

Recommended publications
  • Open Babel Documentation Release 2.3.1
    Open Babel Documentation Release 2.3.1 Geoffrey R Hutchison Chris Morley Craig James Chris Swain Hans De Winter Tim Vandermeersch Noel M O’Boyle (Ed.) December 05, 2011 Contents 1 Introduction 3 1.1 Goals of the Open Babel project ..................................... 3 1.2 Frequently Asked Questions ....................................... 4 1.3 Thanks .................................................. 7 2 Install Open Babel 9 2.1 Install a binary package ......................................... 9 2.2 Compiling Open Babel .......................................... 9 3 obabel and babel - Convert, Filter and Manipulate Chemical Data 17 3.1 Synopsis ................................................. 17 3.2 Options .................................................. 17 3.3 Examples ................................................. 19 3.4 Differences between babel and obabel .................................. 21 3.5 Format Options .............................................. 22 3.6 Append property values to the title .................................... 22 3.7 Filtering molecules from a multimolecule file .............................. 22 3.8 Substructure and similarity searching .................................. 25 3.9 Sorting molecules ............................................ 25 3.10 Remove duplicate molecules ....................................... 25 3.11 Aliases for chemical groups ....................................... 26 4 The Open Babel GUI 29 4.1 Basic operation .............................................. 29 4.2 Options .................................................
    [Show full text]
  • Python Pillow Tutorial
    Python Pillow i Python Pillow About the tutorial This tutorial is about “Pillow” package, one of the important libraries of python for image manipulation. Pillow is a free and open source library for the Python programming language that allows you to easily create & manipulate digital images. In this tutorial, you will see the hands-on approach to learn different functionalities of pillow, much more than, read & save an image, creating thumbnail & merge to images, blur, crop, flip & rotate images, resizing & adding watermark, adding filters & working with colors to an image and use of pillow & numpy in machine learning. Audience This tutorial is basically designed to work as a guide for developers who wants to learn python capabilities, automate image editing. It is also for the beginners who wish to know the image processing capabilities of python using pillow package and for the web developers who wants to update and use images with logos & watermark on their websites. Prerequisites It would be helpful if you have prior knowledge on any of the below mentioned technologies such as access to computer & python is installed in it (else we need to install it), basic understanding of python data types and functions and ability to install Python dependencies, i.e. “pip install ‘package_name’”. Copyright & Disclaimer Copyright 2020 by Tutorials Point (I) Pvt. Ltd. All the content and graphics published in this e-book are the property of Tutorials Point (I) Pvt. Ltd. The user of this e-book is prohibited to reuse, retain, copy, distribute or republish any contents or a part of contents of this e-book in any manner without written consent of the publisher.
    [Show full text]
  • User-Space SPI TFT Python Library - ILI9341 Created by Tony Dicola
    User-space SPI TFT Python Library - ILI9341 Created by Tony DiCola Last updated on 2019-10-24 11:34:49 PM UTC Overview This code is discontinued - Check out our newer tutorial at - https://learn.adafruit.com/adafruit-2-dot-8-color- tft-touchscreen-breakout-v2/python-wiring-and-setup Does your Raspberry Pi or BeagleBone Black project need a display that's a little more capable than as mall graphic LCD (https://adafru.it/dLP) or OLED (https://adafru.it/dLQ)? Perhaps you want to display full color images and text, but don't need a full blown 'shield' like the PiTFT (http://adafru.it/1601). With the ILI9341 Python library (https://adafru.it/dLR) and a 2.8" TFT display breakout (http://adafru.it/1770) you can add a large, colorful graphic display to your Raspberry Pi or BeagleBone Black project! Update 9/2014: This library should work with the 2.2" TFT (http://adafru.it/1480) too! Check out Matthew's blog post (https://adafru.it/e15) if you are curious to see more details. This guide will show you how to wire up, install, and use a Python library to control ILI9341-based displays like the 2.8" breakout in userspace SPI - that means you don't need a kernel! This library uses an SPI connection and a couple GPIO pins to control the display, leaving many other pins free for your project's needs. Because this library is implemented in Python there's no need to use a modified kernel or kernel module to use the display.
    [Show full text]
  • The Graphics Cookbook SC/15.2 —Abstract Ii
    SC/15.2 Starlink Project STARLINK Cookbook 15.2 A. Allan, D. Terrett 22nd August 2000 The Graphics Cookbook SC/15.2 —Abstract ii Abstract This cookbook is a collection of introductory material covering a wide range of topics dealing with data display, format conversion and presentation. Along with this material are pointers to more advanced documents dealing with the various packages, and hints and tips about how to deal with commonly occurring graphics problems. iii SC/15.2—Contents Contents 1 Introduction 3 2 Call for contributions 3 3 Subroutine Libraries 3 3.1 The PGPLOT library . 3 3.1.1 Encapsulated Postscript and PGPLOT . 5 3.1.2 PGPLOT Environment Variables . 5 3.1.3 PGPLOT Postscript Environment Variables . 5 3.1.4 Special characters inside PGPLOT text strings . 7 3.2 The BUTTON library . 7 3.3 The pgperl package . 11 3.3.1 Argument mapping – simple numbers and arrays . 12 3.3.2 Argument mapping – images and 2D arrays . 13 3.3.3 Argument mapping – function names . 14 3.3.4 Argument mapping – general handling of binary data . 14 3.4 Python PGPLOT . 14 3.5 GLISH PGPLOT . 15 3.6 ptcl Tk/Tcl and PGPLOT . 15 3.7 Starlink/Native PGPLOT . 15 3.8 Graphical Kernel System (GKS) . 16 3.8.1 Enquiring about the display . 16 3.8.2 Compiling and Linking GKS programs . 17 3.9 Simple Graphics System (SGS) . 17 3.10 PLplot Library . 17 3.10.1 PLplot and 3D Surface Plots . 18 3.11 The libjpeg Library . 19 3.12 The giflib Library .
    [Show full text]
  • Image Processing with Python (PDF)
    Image Processing with Python Desert Py Meetup 26 February 2014 Sarah E. Braden Overview ● Pillow ○ Pillow is a fork of PIL, the Python Imaging Library ○ http://python-imaging.github.io/ ● OpenCV ○ http://opencv.org/ ● Files for this presentation ○ https://github.com/desertpy/presentations Why Pillow? The Python Imaging Library, (PIL) is the library for image manipulation, however... Why Pillow? … PIL’s last release was in 2009 Why Pillow? ● easier to install ● supports Python 3 ● active development ● actually works* * Non-Pillow PIL really is frustrating http://python-imaging.github.io/ What can Pillow do for me? ● Automatically generate thumbnails Modules: ● Apply image filters (auto-enhance) ● Apply watermarks (alpha layers) ● ImageOps ● Extract images from animated gifs ● ImageMath ● Extract image metadata ● ImageFilter ● Draw text for annotations (and shapes) ● ImageEnhance ● Basically script things that you might do ● ImageStat in Photoshop or GIMP for large numbers of images, in Python Pillow Setup Pillow’s prerequisites: https://pypi.python.org/pypi/Pillow/2.1.0#platform-specific-instructions Warning! Since some (most?) of Pillow's features require external libraries, prerequisites can be a little tricky After installing prereqs: $ pip install Pillow Documentation Pillow documentation: http://pillow.readthedocs.org/en/latest/about.html Image Basics: http://pillow.readthedocs.org/en/latest/handbook/concepts. html List of Modules: http://pillow.readthedocs.org/en/latest/reference/index. html Read in an image! from PIL import Image im = Image.open(infile) im.show() print(infile, im.format, "%dx%d" % im.size, im.mode) Important note: Opening an image file is a fast operation, independent of file size and compression. Pillow will read the file header and doesn’t decode or load raster data unless it has to.
    [Show full text]
  • Open Babel Documentation
    Open Babel Documentation Geoffrey R Hutchison Chris Morley Craig James Chris Swain Hans De Winter Tim Vandermeersch Noel M O’Boyle (Ed.) Mar 26, 2021 Contents 1 Introduction 3 1.1 Goals of the Open Babel project.....................................3 1.2 Frequently Asked Questions.......................................4 1.3 Thanks..................................................7 2 Install Open Babel 11 2.1 Install a binary package......................................... 11 2.2 Compiling Open Babel.......................................... 11 3 obabel - Convert, Filter and Manipulate Chemical Data 19 3.1 Synopsis................................................. 19 3.2 Options.................................................. 19 3.3 Examples................................................. 22 3.4 Format Options.............................................. 24 3.5 Append property values to the title.................................... 24 3.6 Generating conformers for structures.................................. 24 3.7 Filtering molecules from a multimolecule file.............................. 25 3.8 Substructure and similarity searching.................................. 28 3.9 Sorting molecules............................................ 28 3.10 Remove duplicate molecules....................................... 28 3.11 Aliases for chemical groups....................................... 29 3.12 Forcefield energy and minimization................................... 30 3.13 Aligning molecules or substructures..................................
    [Show full text]
  • Python Imaging Library Overview
    Python Imaging Library Overview PIL 1.1.3 | March 12, 2002 | Fredrik Lundh, Matthew Ellis Introduction The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool. Let's look at a few possible uses of this library: Image Archives The Python Imaging Library is ideal for for image archival and batch processing applications. You can use the library to create thumbnails, convert between file formats, print images, etc. The current version identifies and reads a large number of formats. Write support is intentionally restricted to the most commonly used interchange and presentation formats. Image Display The current release includes Tk PhotoImage and BitmapImage interfaces, as well as a Windows DIB interface that can be used with PythonWin. For X and Mac displays, you can use Jack Jansen's img library. For debugging, there's also a show method in the Unix version which calls xv to display the image. Image Processing The library contains some basic image processing functionality, including point operations, filtering with a set of built-in convolution kernels, and colour space conversions. The library also supports image resizing, rotation and arbitrary affine transforms. There's a histogram method allowing you to pull some statistics out of an image. This can be used for automatic contrast enhancement, and for global statistical analysis.
    [Show full text]
  • MX User's Guide
    MX User’s Guide for MX 2.0 William M. Lavender Illinois Institute of Technology Chicago, IL 60616 USA November 13, 2013 2 MX has been developed by the Illinois Institute of Technology and is available under the following MIT X11 style license. Copyright 1999 Illinois Institute of Technology Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL ILLINOIS INSTITUTE OF TECHNOLOGY BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Except as contained in this notice, the name of Illinois Institute of Technology shall not be used in advertising or otherwise to promote the sale, use or other dealings in this Software without prior written authorization from Illinois Institute of Technology. Contents 1 Introduction 5 1.1 Example 1: Single Process Mode .
    [Show full text]
  • Pillow (PIL Fork) Documentation Release 5.5.0.Dev0
    Pillow (PIL Fork) Documentation Release 5.5.0.dev0 Alex Clark Jan 27, 2019 Contents 1 Installation 3 1.1 Warnings.................................................3 1.2 Notes...................................................3 1.3 Basic Installation.............................................4 1.4 Building From Source..........................................5 1.5 Platform Support.............................................9 1.6 Old Versions............................................... 10 2 Handbook 11 2.1 Overview................................................. 11 2.2 Tutorial.................................................. 12 2.3 Concepts................................................. 20 2.4 Appendices................................................ 22 3 Reference 45 3.1 Image Module.............................................. 45 3.2 ImageChops (“Channel Operations”) Module............................. 60 3.3 ImageColor Module.......................................... 62 3.4 ImageCms Module........................................... 63 3.5 ImageDraw Module.......................................... 77 3.6 ImageEnhance Module........................................ 84 3.7 ImageFile Module.......................................... 85 3.8 ImageFilter Module......................................... 86 3.9 ImageFont Module.......................................... 89 3.10 ImageGrab Module (macOS and Windows only)........................... 91 3.11 ImageMath Module.......................................... 91 3.12 ImageMorph Module.........................................
    [Show full text]
  • Pillow (PIL Fork) Documentation Release 8.3.2
    Pillow (PIL Fork) Documentation Release 8.3.2 Alex Clark Sep 02, 2021 CONTENTS 1 Overview 3 1.1 Installation................................................3 1.2 Handbook................................................ 12 1.3 Reference................................................. 53 1.4 Porting.................................................. 180 1.5 About................................................... 181 1.6 Release Notes............................................... 181 1.7 Deprecations and removals........................................ 234 2 Indices and tables 239 Python Module Index 241 Index 243 i ii Pillow (PIL Fork) Documentation, Release 8.3.2 Pillow is the friendly PIL fork by Alex Clark and Contributors. PIL is the Python Imaging Library by Fredrik Lundh and Contributors. Pillow for enterprise is available via the Tidelift Subscription. Learn more. CONTENTS 1 Pillow (PIL Fork) Documentation, Release 8.3.2 2 CONTENTS CHAPTER ONE OVERVIEW The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image pro- cessing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool. 1.1 Installation 1.1.1 Warnings Warning: Pillow and PIL cannot co-exist in the same environment. Before installing Pillow, please uninstall PIL. Warning: Pillow >= 1.0 no longer supports
    [Show full text]
  • Pillow (PIL Fork) Documentation 3.3.0.Dev0
    Pillow (PIL Fork) Documentation 3.3.0.dev0 Alex Clark 2016 05 29 Contents 1 3 1.1......................................................3 1.2......................................................3 1.3......................................................3 1.4......................................................4 1.5......................................................7 1.6......................................................8 2 9 2.1......................................................9 2.2...................................................... 10 2.3 Concepts................................................. 17 2.4 Appendices................................................ 19 3 Reference 37 3.1 Image Module.............................................. 37 3.2 ImageChops (“Channel Operations”) Module............................. 50 3.3 ImageColor Module.......................................... 52 3.4 ImageCms Module........................................... 53 3.5 ImageDraw Module.......................................... 67 3.6 ImageEnhance Module........................................ 71 3.7 ImageFile Module.......................................... 72 3.8 ImageFilter Module......................................... 73 3.9 ImageFont Module.......................................... 75 3.10 ImageGrab Module (OS X and Windows only)............................ 77 3.11 ImageMath Module.......................................... 77 3.12 ImageMorph Module.......................................... 79 3.13 ImageOps Module..........................................
    [Show full text]
  • Version : 2009K Vendor: Centos Release : 1.El5 Build Date
    Name : tzdata Relocations: (not relocatable) Version : 2009k Vendor: CentOS Release : 1.el5 Build Date: Mon 17 Aug 2009 06:43:09 PM EDT Install Date: Mon 19 Dec 2011 12:32:58 PM EST Build Host: builder16.centos.org Group : System Environment/Base Source RPM: tzdata-2009k- 1.el5.src.rpm Size : 1855860 License: GPL Signature : DSA/SHA1, Mon 17 Aug 2009 06:48:07 PM EDT, Key ID a8a447dce8562897 Summary : Timezone data Description : This package contains data files with rules for various timezones around the world. Name : nash Relocations: (not relocatable) Version : 5.1.19.6 Vendor: CentOS Release : 54 Build Date: Thu 03 Sep 2009 07:58:31 PM EDT Install Date: Mon 19 Dec 2011 12:33:05 PM EST Build Host: builder16.centos.org Group : System Environment/Base Source RPM: mkinitrd-5.1.19.6- 54.src.rpm Size : 2400549 License: GPL Signature : DSA/SHA1, Sat 19 Sep 2009 11:53:57 PM EDT, Key ID a8a447dce8562897 Summary : nash shell Description : nash shell used by initrd Name : kudzu-devel Relocations: (not relocatable) Version : 1.2.57.1.21 Vendor: CentOS Release : 1.el5.centos Build Date: Thu 22 Jan 2009 05:36:39 AM EST Install Date: Mon 19 Dec 2011 12:33:06 PM EST Build Host: builder10.centos.org Group : Development/Libraries Source RPM: kudzu-1.2.57.1.21- 1.el5.centos.src.rpm Size : 268256 License: GPL Signature : DSA/SHA1, Sun 08 Mar 2009 09:46:41 PM EDT, Key ID a8a447dce8562897 URL : http://fedora.redhat.com/projects/additional-projects/kudzu/ Summary : Development files needed for hardware probing using kudzu.
    [Show full text]