Global
Methods:
activateKeyboard()
addCardProfile(string vendor, string renderer, bool safeMode, bool lockArray, bool subImage, bool fogTexture, bool noEnvColor, bool clipHigh, bool deleteContext, bool texCompressbool interiorLock, bool skipFirstFog, bool only16, bool noArraysAlpha, string proFile)
Description: Register a card profile with the card profile manager.
addMaterialMapping(string matName,...)
Description: Set up a material mapping. See for details.
addOSCardProfile(string vendor, string renderer, bool allowOpenGL, bool allowD3D, bool preferOpenGL)
Description: Register with the profile manager what rendering mode is preferred with the specified card.
addResPath(path,[ignoreZips=false])
Description: Add a path to the resource manager
backtrace()
Description: Print the call stack.
clearTextureHolds()
collapseFilename(string filename)
createCanvas(string windowTitle)
Description: Create the game window/canvas, with the specified window title.
createEffectCanvas(string windowTitle)
Description: Create the game window/canvas, with the specified window title.
dbgDisconnect()
Description: Forcibly disconnects any attached script debugging client.
dbgIsConnected()
Description: Returns true if a script debugging client is connected else return false.
dbgSetParameters(int port, string password, bool waitForClient)
Description: Open a debug server port on the specified port, requiring the specified password, and optionally waiting for the debug client to connect.
deactivateKeyboard()
deleteDataBlocks()
Description: Delete all the datablocks we've downloaded. This is usually done in preparation of downloading a new set of datablocks, such as occurs on a mission change, but it's also good post-mission cleanup.
disableJoystick()
disableMouse()
dispatchMessage(queueName, event, data)
dispatchMessageObject(queueName, message)
displayHelp()
DNetSetLogging(bool enabled)
dumpFontCacheStatus()
Description: Return a full description of all cached fonts, along with info on the codepoints each contains.
dumpResourceStats()
Description: Dump information about resources. Debug only!
dumpTextureStats()
Description: Dump texture manager statistics. Debug only!
duplicateCachedFont(oldFontName, oldFontSize, newFontName)
Description: -Copy the specified old font to a new name. The new copy will not have a platform font backing it, and so will never have characters added to it. But this is useful for making copies of fonts to add postprocessing effects to via exportCachedFont.
echoInputState()
enableJoystick()
enableMouse()
enableWinConsole(bool)
enumerateConsoleClasses(<"base class">)
enumerateFonts()
Description: Retrieves a list of all fonts on the system.
expandFilename(string filename)
expandOldFilename(string filename)
exportCachedFont(fontName, size, fileName, padding, kerning)
Description: Export specified font to the specified filename as a PNG. The image can then be processed in Photoshop or another tool and reimported using importCachedFont. Characters in the font areexported as one long strip.
flushTextureCache()
Description: Flush the texture cache.
getBoxCenter(Box b)
Description: Get the center point of a box.
getCoreLangTable()
getJoystickAxes(instance)
getMaxFrameAllocation()
getT2DDatablockSet()
Description: Retrieves the datablock-set for T2D.
getTemporaryDirectory()
getTemporaryFileName()
getUserDataDirectory()
getUserHomeDirectory()
GLEnableLogging(bool)
GLEnableMetrics(bool)
GLEnableOutline(bool)
gotoWebPage(address)
Description: Open a URL in the user's favorite web browser.
importCachedFont(fontName, size, fileName, padding, kerning)
Description: Import an image strip from exportCachedFont. Call with the same parameters you called exportCachedFont.
initDisplayDeviceInfo()
inputPopCursor()
inputPushCursor(cursor shape name)
isJoystickDetected()
isKoreanBuild()
isQueueRegistered(queueName)
isScriptPathExpando(string expando)
isUsingVFS()
loadChunkFile(Filename file)
Description: Read a chunk hierarchy from a file.
loadKeybindings()
loadObject(filename)
loadPath()
mathInit(...)
Description: Install the math library with specified extensions.
messageBox(title, message[, buttons[, icon]])
msg(NetConnection id, string message)
Description: Send a message to the specified connection.
onExit()
onStart()
parseArgs()
png2jpg(pngName,[quality=0-100])
populateAllFontCacheRange(rangeStart, rangeEnd)
Description: Populate the font cache for all fonts with Unicode code points in the specified range. Note we only support BMP-0, so code points range from 0 to 65535.
populateAllFontCacheString(string)
Description: Populate the font cache for all fonts with characters from the specified string.
populateFontCacheRange(faceName, size, rangeStart, rangeEnd)
Description: Populate the font cache for the specified font with Unicode code points in the specified range. Note we only support BMP-0, so code points range from 0 to 65535.
populateFontCacheString(faceName, size, string)
Description: Populate the font cache for the specified font with characters from the specified string.
purgeResources()
Description: Purge resources from the resource manager.
quit()
Description: End execution of Torque.
quitWithErrorMessage(msg)
Description: Quit, showing the provided error message. This is equivalent to an AssertISV.
recompileAllImageMaps()
Description: Recompiles all image map datablocks
registerMessageListener(queueName, listener)
registerMessageQueue(queueName)
registerPreferencesManager(SimObjectID)
Description: register the script created Preferences Manager with C++ code.
removeResPath(pathExpression)
Description: Remove a path from the resource manager. Path is an expression as in
removeScriptPathExpando(string expando)
saveChunkFile(SimChunk chunk, Filename file)
Description: Write a chunk hierarchy to a file.
saveObject(object, filename)
setCanvasTitle(string windowTitle)
setCoreLangTable(LangTable)
setDefaultSceneObjectDatablock()
setScriptPathExpando(string expando, string path[, bool toolsOnly])
shellExecute(executable,[args],[directory])
StripMLControlChars(string val)
Description: Strip TorqueML control characters from the specified string, returning a 'clean' version.
telnetSetParameters(int port, string consolePass, string listenPass)
Description: Initialize and open the telnet console.
unitTest_runTests([searchString])
Description: run unit tests, or just the tests that prefix match against the searchString.
unregisterMessageListener(queueName, listener)
unregisterMessageQueue(queueName)
writeFontCache()
Description: force all cached fonts toserialize themselves to the cache.


Reports a deprecated property in a JSON file.
Note that deprecation mechanism is not defined in the JSON Schema specification yet, and this inspection uses a non-standard extension 'deprecationMessage'.


nips nips2004 nips2004-1 nips2004-1-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Daniela D. Farias, Benjamin V. Roy
Abstract: We introduce a new algorithm based on linear programming that approximates the diﬀerential value function of an average-cost Markov decision process via a linear combination of pre-selected basis functions. The algorithm carries out a form of cost shaping and minimizes a version of Bellman error. We establish an error bound that scales gracefully with the number of states without imposing the (strong) Lyapunov condition required by its counterpart in [6]. We propose a path-following method that automates selection of important algorithm parameters which represent counterparts to the “state-relevance weights” studied in [6]. 1
[1] D. Adelman, “A Price-Directed Approach to Stochastic Inventory/Routing,” preprint, 2002, to appear in Operations Research.
[2] L. C. Baird, “Residual Algorithms: Reinforcement Learning with Function Approximation,” ICML, 1995.
[3] D. P. Bertsekas and J. N. Tsitsiklis, Neuro-Dynamic Programming, Athena Scientiﬁc, Bellmont, MA, 1996.
[4] D. P. Bertsekas, Dynamic Programming and Optimal Control, second edition, Athena Scientiﬁc, Bellmont, MA, 2001.
[5] J. A. Boyan and A. W. Moore, “Generalization in Reinforcement Learning: Safely Approximating the Value Function,” NIPS, 1995.
[6] D. P. de Farias and B. Van Roy, “The Linear Programming Approach to Approximate Dynamic Programming,” Operations Research, Vol. 51, No. 6, November-December 2003, pp. 850-865. Preliminary version appeared in NIPS, 2001.
[7] D. P. de Farias and B. Van Roy, “On Constraint Sampling in the Linear Programming Approach to Approximate Dynamic Programming,” Mathematics of Operations Research, Vol. 29, No. 3, 2004, pp. 462–478.
[8] D.P. de Farias and B. Van Roy, “Approximate Linear Programming for Average-Cost Dynamic Programming,” NIPS, 2003.
[9] C. B. Garcia and W. I. Zangwill, Pathways to Solutions, Fixed Points, and Equilibria, Prentice-Hall, Englewood Cliﬀs, NJ, 1981.
[10] G. J. Gordon, “Stable Function Approximation in Dynamic Programming,” ICML, 1995.
[11] C. Guestrin, D. Koller, R. Parr, and S. Venkataraman, “Eﬃcient Solution Algorithms for Factored MDPs,” Journal of Artiﬁcial Intelligence Research, Volume 19, 2003, pp. 399-468. Preliminary version appeared in NIPS, 2001.
[12] M. E. Harmon, L. C. Baird, and A. H. Klopf, “Advantage Updating Applied to a Diﬀerential Game,” NIPS 1995.
[13] R. Munos, “Error Bounds for Approximate Policy Iteration,” ICML, 2003.
[14] J. N. Tsitsiklis and B. Van Roy, “Feature-Based Methods for Large Scale Dynamic Programming,” Machine Learning, Vol. 22, 1996, pp. 59-94.
[15] D. Schuurmans and R. Patrascu, “Direct Value Approximation for Factored MDPs,” NIPS, 2001.
[16] P. J. Schweitzer and A. Seidman, “Generalized Polynomial Approximation in Markovian Decision Processes,” Journal of Mathematical Analysis and Applications, Vol. 110, ‘985, pp. 568-582.


Luis is a 4th Year Mechanical Engineer, originally from American Canyon, CA. and is now serving as the 2019-2020 chapter president. He loves spending majority of his free time in the outdoors, listening to music, and with his familia! Luis is determined to ignite the passion of others to follow their path in becoming the unique and authentic leaders our future needs.
Fatima Gamino
Fatima is a fourth year Environmental Engineer from Firebaugh, California. She chose to become a part of Ingenieros Unidos to develop professionally, but also found a familia along the way. In this position she hopes to work closely with all the members to bring the organization’s visions to life. Her goal is to encourage people to step out of their comfort zone, no matter how small the step may be. Aside from academics, you can find her enjoying trips to Yosemite, discussing environmental issues, and discovering new music.
Denise Rosas
Denise is a 4th year mechanical engineering major, a fun fact about her is that she's vegetarian because she's trying to save the planet and her favorite things to do when she has free time is read a book, watch movies or catch up on tv shows.
Victor Ramos
Victor Manuel Ramos-Michel is a Mechanical Engineering Major originally from Pomona, CA. He is the treasurer for the year 2019-2020. He joined IU for the professionalism but stayed for the familia. IU has played a huge part in his life and plans on returning the favor for the familia. Victor likes to take pictures on his free time and has a cat named Simba he uses as his subject.
Jasmin Adan
This is Jasmin Adan, she is 4th year biology major with an emphasis of Ecology and Evolutionary biology. She is this school years Internal Representative, she makes sure that our general members get informed about upcoming events through different forms of social media. She is from Los Angeles and fun fact about her is she has a big sweet tooth, she loves her sweets.
Sabrina Gallardo
Sabrina Gallardo, originally from the San Fernando Valley, is a fourth year Applied Mathematics major with an emphasis in Engineering. Gallardo serves as the outreach chair, committed to the empowerment of young Hispanic engineers through different events. Not only does she love giving back to the community, she also enjoys hanging out with her friends, cooking pasta, listening to music, and being a tour guide!
Diane Leal
Hello, meet Diane, this years academic chair.  On the downtime she watches way too much YouTube while making sure she keeps them grades up because why else would she be an academic chair, right?
Hector Alfaro Jr.
Hello, World! Meet your 2019-2020 Webmaster, Hector Alfaro Jr! Hector, originally from Oxnard, is a fourth year CSE major that has strong interests in software and mobile development. He enjoys being around family, friends, and helping others.
Xaiver Vega
Xaiver Vega is a second-year Mechanical Engineering student at UC Merced and joined IU in halfway through his second semester. With the interest of pursuing a degree in Mechanical Engineering Xaiver wants to pursue a career in the aerospace industry, specifically fleet engineering. Xaiver Vega has a strong background in welding as he grew up working with his father at a young age of 7, he is thankful that he has instilled a strong work ethic that allows him to be persistent in achieving his goals. Vega is looking forward to the network throughout his college career to create a strong, intelligent, and ethical team that he plans on using for his future business. Learning valuable experience while acquiring skills that are essential to his career in the aerospace industry one of Xaiver goals when he retires is to have his restoration hanger. Innovation and design are what Xaiver is looking forward to bringing in the new age of the aerospace industry.
Marco Medina Jr.
My name is Marco Medina, I am a first generation fourth year Mechanical Engineer student at the University of California, Merced . I have two siblings both sisters and both my mother and father are proud Mexicans. I was born a raised in Escondido, CA which is located in San Diego County. Some hobbies that I enjoy are playing soccer, cutting hair, fixing cars, gardening, reading, and helping others. Moreover, I am currently active member of the Society of Automotive engineers, I am also conducting research under the MACES Fellowship Program.
~~~
Use this area to describe your project. Lorem ipsum dolor sit amet, consectetur adipisicing elit. Est blanditiis dolorem culpa incidunt minus dignissimos deserunt repellat aperiam quasi sunt officia expedita beatae cupiditate, maiores repudiandae, nostrum, reiciendis facere nemo!
 She joined SHPE her freshmen year in order to have people to look up to and ask questions to regarding her major. In joining the organization she found more than just help but a Familia away from home which really helped her adapt to her new college life. As membership chair she hopes to not only grow and empower the organization but also help others find their Familia away from home that they can always look to for whatever they need. On her free time she enjoys listening to music, dancing, playing sudoku, doing small craft projects and swimming.
Jose Castillo
My name is ,Jose Castillo , I am from Huntington Park CA , 4th year applied math major with engineering emphasis, currently want to pursue something with data science no current , and within a year get my masters (analytics), on my free time I like to box, play guitar.
Adrain Sanchez Magana
Adrian Sanchez Magana has many goals that may take him to Mars someday and the goal that set him into the Project Chair position at UC Merced SHPE Chapter is to improve the quality of every member. Adrian believes that the best way to learn is by taking challenges that exceed one’s skill sets.
Rafael Rodriguez
Meet Maria Diaz-Ayon! She is originally from Bakersfield, CA. and is serving as the 2018-2019 chapter president. On her free time she enjoys spending time with her family and traveling. She is very passionate about empowering women and minorities in STEM. As the first female president for our organization, she hopes to be able to increase the amount of women in our organization and create an environment in which any one feels welcome regardless of what they identify as.
Brandon Ortega
My name is Brandon Ortega and I am a current freshmen. I am from the Bay Area and I love to play soccer and video games. I am studying Computer Science and Engineering. I want to spread happiness and change the world with my humor. I hope to find my SHPE family and make the best memories together.
Juan Rafael De La Cruz
He is junior and a transfer student from San Jose City College Majoring in Mechanical Engineering as a DACA Recipient. Juan is a fellow car enthusiast and drives a 2000 Honda CR-V 5 Speed All Wheel Drive. He also loves to build things as a hobby, his most current project being a Murphy bed he built for under $175 dollars.


--- layout: post title: Peet's Ancient Trees Pu-erh Review date: '2012-04-30 12:33:07 -0700' mt_id: 1491 blog_id: 1 post_id: 1491 basename: peets-ancient-trees-pu-erh-review categories: - tea-reviews ---
Peet's Ancient Trees Organic Pu-erh is a decent take on pu-erh, which is easily my favorite variety of tea. It is packaged in little, individually-wrapped cakes and enclosed in an airtight, metal container.
Peet's recommends putting it in boiling water for a moment in order to rinse it and then steeping it in a rolling boil for five minutes. They then suggest that you can re-steep it once to make a total of four six-ounce servings.
Or you can do what I do: throw it in your TriniTEA for four minutes at a rolling boil and continue re-steeping pot after pot of 27 ounces at a time. Each successive pot is less earthy but Peet's recommendations are quite wasteful—I'm on my third pot today and it still tastes good (but not great).


--- layout: post title: Server Driven Paging II , Implementing a Smart Auto-Paging Enumerable date: 2010-04-30 18:24:00.000000000 -04:00 type: post published: true status: publish categories: [] tags: - DataServiceContext - Demo - Documentation - Server Driven Paging meta: _encloseme: '1' orig_url: http://blogs.msdn.microsoft.com/b/phaniraj/archive/2010/05/01/server-driven-paging-ii-implementing-an-auto-paging-collection.aspx orig_site_id: '7524' orig_post_id: '10005591' orig_parent_id: '10005591' orig_thread_id: '714719' _wds_ratings_users: '0' orig_application_key: phaniraj orig_post_author_id: '56365' orig_post_author_username: PhaniRajuYN orig_post_author_created: Nov 10 2006 05:47:39:000PM orig_is_approved: '1' orig_attachment_count: '0' orig_url_title: http://blogs.msdn.com/b/phaniraj/archive/2010/04/30/server-driven-paging-ii-implementing-a-smart-auto-paging-enumerable.aspx opengraph_tags: | author: login: phanirajuyn email<EMAIL_ADDRESS>display_name: Phani Raju MSFT first_name: '' last_name: '' ---
An “Auto-paging Enumerable” is an IEnumerable implementation that allows the application to
automatically fetch the next page of results if the current page of results is enumerated and the application wants more.
By “Smart”, we mean that we only load the next page when the current page runs out of results.We don’t load a page into memory
unless the application needs it.
Add the “ServerPagedQueryExtensions.cs” file into your application and use one of the following patterns.
XAML Code for WPF Listbox:
<ListBox DisplayMemberPath="Name" Name="lbCustomers" />
C# code to bind the collection to the listbox:
CLRProvider Context = new CLRProvider(new Uri("http://localhost:60901/DataService.svc/")); //Extension method on DataServiceQuery<T> var pagedCustomerRootQuery = (from c in Context.Customers select new Customer() { Name = c.Name }) as DataServiceQuery<Customer>; lbCustomers.ItemsSource = pagedCustomerRootQuery.Page(Context, maxItemsCount);
CLRProvider Context = new CLRProvider(new Uri("http://localhost:60901/DataService.svc/")); short maxItemsCount = 6; //Factory method var customerPaged = ServerPagedEnumerableFactory.Create( from c in Context.Customers select new { Name = c.Name }, Context, maxItemsCount);
foreach (Customer instance in Context.Customers.Page(Context, maxItemsCount)) { //Do something with instance variable here }
At the root of this implementation is the IPagedEnumerator<T> interface which provides a contract for an IEnumerator<T> to signal that it has run out of elements
in the page.
/// <summary> /// Provides support for on-demand loading of the next page of results as soon as the current page of results is exhausted /// </summary> /// <typeparam name="TEntity">The type of the enumeration</typeparam> public interface IPagedEnumerator<TEntity> : IEnumerator<TEntity> { /// <summary> /// Provides access to the complete set of results /// </summary> List<TEntity> CompleteSet { get; } /// <summary> /// Signals the enumerator to move to the next page of results /// </summary> Func<IEnumerable<TEntity>> GetNextPage { get; set; } }
The ServerPagedEnumerator<TEntity> type implements this interface and calls the GetNextPage method when it has run out of elements in the current page.
public bool MoveNext() { currentIndex++; if (SourceList.Count <= currentIndex && GetNextPage != null) { SourceList.AddRange(GetNextPage()); } return SourceList.Count > currentIndex; }
/// <summary> /// This class is an IEnumerable<<typeparamref name="TEntity"/>> which signals when the current page of results have been enumerated. /// Developers can hook into the PageCompleted handler to return the next page of results /// </summary> /// <typeparam name="TEntity">The type of the collection</typeparam> public class ServerPagedEnumerator<TEntity> : IPagedEnumerator<TEntity> {
The way we inject the ServerPagedEnumerator
You can replace this with your implementation of paging which uses client-driven paging or some other custom scheme.
/// <summary> /// This class automatically fetches the next page in an Entity Set once the current page is enumerated completely /// </summary> /// <typeparam name="TEntity">The entity type of the request</typeparam> public class ServerPagedEnumerable<TEntity> : IEnumerable<TEntity> {/// <summary> /// The Enumerator which calls a function whenever the current page of results are exhausted /// </summary> ServerPagedEnumerator<TEntity> ServerPagedEnumerator;//Hook up to listen to the GetNextPage call so that we can get the next page when the current page of results are enumerated. ServerPagedEnumerator.GetNextPage = GetNextPage;
public IEnumerator<TEntity> GetEnumerator() { return ServerPagedEnumerator; }/// <summary> /// Gets the next page in the Entity Set if the Continuation token points to a valid page.If /// not, returns an empty collection /// </summary> /// <returns>The next page of results</returns> private IEnumerable<TEntity> GetNextPage() { //If the continuation token is not null, we get the next page of results if (continuationToken != null) { return ExecuteQuery(continuationToken); } return new List<TEntity>(); }/// <summary> /// Follows the DataServiceQueryContinuation<<typeparamref name="TEntity"/>> and returns the page of results while updating the continuation token. /// </summary> /// <param name="QueryContinuation">The Continuation token which represents the next page of the Entity Set</param> /// <returns>The results of the query</returns> private IEnumerable<TEntity> ExecuteQuery(DataServiceQueryContinuation<TEntity> QueryContinuation) { QueryOperationResponse<TEntity> queryOperationResponse = contextInstance.Execute(QueryContinuation) as QueryOperationResponse<TEntity>; List<TEntity> responseList = queryOperationResponse.ToList(); continuationToken = queryOperationResponse.GetContinuation(); return responseList; }In the end, we tie everything together by creating an extension method on DataServiceQuery<T> so that we can use the .Page() extension method to provide an easy-to-use API.
public static IEnumerable<TEntity> Page<TEntity>(this DataServiceQuery<TEntity> query, DataServiceContext ContextInstance) { return new ServerPagedEnumerable<TEntity>(query, ContextInstance); }


--- layout: thoughtsMainPage title: Thoughts subtitle: 历方知避 sitemap: priority: 0.9 categories: [thoughts] classification: [thoughts-all] ---
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MRC Data Year-End Report
The year 2020 was one of constant changes and adaptation. But although going out to concerts was not an option, music has been an important part of our life in lockdown. How did the year events affect the way we listened to music or which artists we've picked? In their latest year-end report, MRC Data gives us a detailed overview. Let's look at some of their findings!


Web Designs
We are always with you to help for web designs
Web Development
Helping you to develop the website .
Responsive Designs
We are teaching you how to make site responsive
Edit Sections
We are helping you in edit sections also
Databases
Giving knowledge about data base
Android
Teaching you how to develop android apps


There's a wonderfully tongue-in-cheek project called the The Alliance for Code Excellence ("Building a better tomorrow — one line of code at a time.") that sells Bad Code Offset certificates. They fund open source projects to produce good code that will, in theory, offset all the bad code out there and mitigate the environmental harm it does. They've asked software authors to write essays on how their projects drive out bad code, offering $500 dollar prizes.
I sat down to write an essay about GPSD in the same vein of high drollery as the Alliance's site, then realized that GPSD actually has a serious case to make. We really do drive out bad code, in both direct and indirect ways, and we supply examples of good practice for emulation.
GPSD is a service daemon and device multiplexer that is the open-source world's basic piece of infrastructure for communicating with GPS receivers, and it's everywhere Linux is - running on PCs, on embedded systems, and on both OpenMoko and the entire line of Maemo cellphones. We're directly relied on by dozens of applications, including pyGPS, Kismet, GPSdrive, gpeGPS, position, roadmap, roadnav, navit, viking, and gaia. If you're doing anything with GPSes on an open-source operating system, GPSD is your indispensable tool.
GPSD's quality is up to the standard required when you're that ubiquitous. In March 2007 a Coverity scan turned up only two errors in over 22,000 LLOC. In more detail: it flagged only 4 potential problems, and two of those were false positives. This is three orders of magnitude cleaner than typical commercial software, and about half the defect density of the Linux kernel itself at the time.
We get, on average, about one defect report every 90 days, and there are just five on our tracker as I write. Given what we know about the size of our user base, our low rate of incoming bug reports tells us we've maintained a similar level of code quality since the Coverity audit. This hasn't happened by accident. Good practice matters, and I'll describe how we systematize ours in a bit.
First, though, I want to explain how we drive out bad code. The reporting protocols used by GPS sensors are a hideous mess — the kind of mess that tends to nucleate layers of bad code around it as programmers with insufficient domain knowledge try to compensate for the deficiencies at application level and wind up snarling themselves up in ever-nastier hairballs. Part of what GPSD does is firewall all this stuff away; we know everything about the mess so you don't have to, and we present clean data on a well-known port in a well-documented wire format. We then provide client-side service libraries that will unpack GPS reports into native C, C++, Python, or Perl structures so you don't even have to know about our wire format.
If our client applications had to deal with the back-end mess of poorly-specified NMEA 0183 and seventeen different vendor-specific binary protocols, I for dead certain guarantee that the total community bug load from GPS-related problems would go up by an order of magnitude. And I'd bet more than any of the $500 prizes the Alliance is offering on the bug count going up by two orders of magnitude.
We also try to drive out bad code indirectly in the same way we keep our defect level low — by providing an example of good practice that extends all the way up from our development habits to the zero-configuration design of the gpsd daemon.
The most important thing we do to ensure code quality is maintain a rigorous test suite. Our "make testregress" runs just shy of sixty regression and unit tests. Forty-six of those exercise the daemon's logic for recognizing and processing device reports; the remaining ten to a dozen exercise the rest of the code, all the way out to the application service libraries.
We actively collect device logs and metadata from users through this form, which we use to update a device-capability database and our collection of test logs. Almost every time a user fills out one of these, the number of devices for which we can guarantee good performance in the future goes up. Currently it's 87 devices from 39 vendors.
We also used to routinely audit our code with splint.  We stopped doing this because splint gave us randomly variable warnings across different Linux distributions, and has been obsolesced by newer static analyzers. But I believe accepting that discipline was the main reason the Coverity scan went so well. After hacking through the underbrush of false positives, I generally find that splint heads off about two potentially serious bugs per release cycle, averaging out to about one every 17 weeks.
We have a policy of not using C where a scripting language will do. Python is what we mostly use, but not the actual point here (though I do like it a lot and use it in preference to other scripting languages). The point is to get away from the fertile source of bugs that is memory-management in a fixed-extent language. The core daemon is written in C because it has to be; a significant part of our customer base is embedded and SBC developers who need to run lean and mean. But our test tools and some of our test clients are Python, and we're gradually working to retire as much of the C as possible from outside the daemon in favor of scripting languages.
We have copious documentation, not just of the interfaces to the code and the wire protocol but also to the internals and of our project practices. We have a Hacker's Guide to the project philosophy, design, and code internals. We have Notes on Writing a GPSD Driver by someone who did it. Because everything is documented, the project doesn't forget things even if the individual members do.
No account of good practice can leave out the human element. In the best open-source tradition, GPSD combines the benefits of a small, highly capable core group (three developers: Chris Kuethe, Gary Miller, and myself) with about a half dozen other semi-regular contributors and a halo of casual contributors numbering in the hundreds. GPSD teaches by example about the kinds of specialization that produce good code. Here is what the core group looks like...
Chris Kuethe is our GPS domain expert. He knows the devices, the mathematics of geodesy, and where all the bodies are buried in this application area to a nearly insane level of detail. I am the systems architect — I neither match Chris's depth of domain knowledge nor want to, but it's been my role to give the GPSD codebase a strong modular architecture, design and implement our test suites and tools, design and implement our wire protocols, and push autoconfiguration as far as it could go. Gary Miller is more of a generalist who owns some particularly tricky areas of the core code and device drivers, and is extremely good at detecting bad smells in other code; he backstops Chris and myself admirably.
If this sounds like a description of a classic "surgical team" organization straight out of Fred Brooks, that's because it is. Open source changes a lot of things, and the outer circle of contributors brings huge value to the GPSD project — but some things about software development never change, and the power of teams that include a domain expert, a master architect, and a bogon detector is one of them. GPSD reinforces a lesson that is old but never stale; if you want the kind of good code that improves the whole software ecology around it, that kind of human constellation is a great place to start.
Finally, we drive out a lot of potentially bad code by eliminating configuration options. The gpsd daemon is designed to autobaud and recognize GPS or AIS reporting packets on any serial or USB device that it's handed, no questions asked. And normally, at least on Linux systems, those devices are handed to it by udev when a hotplug event fires. Though arranging this took a lot of work, there are many fewer combinations of code paths in gpsd to test (and to accumulate bugs) than there would be if the daemon had the usual semi-infinite array of knobs, switches, and config files. Because client applications don't have to give users any access to those nonexistent knobs and switches, thousands of lines of application code have never had to be written either; the simplifying effects of autoconfiguration ripple through dozens of application-development groups and all the way up the software stack to the end-user.
The RFP for these essays asked software authors to explain what they'd do with a $500 prize. That's easy; we'd use it to buy test hardware. Because GPSes are wacky, idiosyncratic devices with poorly documented interfaces, testing on real hardware is vital to fully learn their quirks.


Self-closing tag:
Self-closing tag with attributes:
Bare element:
Element with attributes:
Nested elements:


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|
|
| fastformat | The FastFormat root namespace - fastformat |
| fastformat::filters | Namespace within which FastFormat filtering conversion shim functions are defined |
| fastformat::flags | Namespace within which FastFormat flag constants (of type int ) are defined |
| fastformat::internal | Namespace within which internal FastFormat types and functions are defined |
| fastformat::iterators | Namespace within which FastFormat iterators are defined |
| fastformat::sinks | Namespace within which FastFormat sink functions are defined |
| fastformat::util | FastFormat utility namespace |
|
|
|
| FastFormat Library documentation © Matthew Wilson, 2006-2012 |


Festive concert to raise money for south Shropshire village hall
by Charlotte BentleyA festive concert will take place in south Shropshire to raise money for village hall funds.
The Annual Festive Concert will take place in Bucknell, near Knighton, to raise money for their local hall by getting into the festive spirit with entertainment and Christmas food and drink.
Bucknell Memorial Hall will host the Orthopaedic Male Voice Choir from Oswestry, who will entertain guests with traditional songs and music.
The event will take place on Saturday, November 30 at 7.30pm when the choir will perform.
Tickets are £8 and include light refreshments. For more information, please contact<PHONE_NUMBER>49.
Funds raised on the evening will go directly to the memorial hall funds which will help with future events and improvements.


OnePlus 5th anniversary: Up to Rs 10,000 discounts on smartphones, QLED TVs
The OnePlus five-year anniversary sale, which started on November 25, will continue until December 2. Here are the offers
by BS Web TeamIt has been five years since the Chinese smartphone brand OnePlus launched its first smartphone in India. Celebrating the company’s fifth anniversary, OnePlus announced several offers in partnership with Amazon India, including discounts, zero- interest equated monthly instalment options and instant cashback on HDFC Bank debit and credit cards. The OnePlus five-year anniversary sale, which started on November 25, will continue until December 2. Here are the offers:
OnePlus 7T
The company’s midrange-premium smartphone is available at a discounted price of Rs 34,999 and Rs 37,999 for 128GB and 256GB storage variants, respectively. In addition, the company is offering flat Rs 1,500 instant discount on HDFC Bank debit and credit cards, and EMI transactions. You can also exchange your old phone for a value of up to Rs 7,000.
ALSO READ: OnePlus 7T review: Value-for-money smartphone with premium specs, features
OnePlus 7 Pro
The company’s premium smartphone is available at a discounted price of Rs 39,999, Rs 42,999 and Rs 48,999 for 6GB/128GB, 8GB/256GB and 12GB/256GB variants, respectively. In addition, the company is offering flat Rs 2,000 instant discount on HDFC Bank debit and credit cards, and EMI transactions. Besides, you can exchange your old phone for a value of up to Rs 7,000.
ALSO READ: OnePlus 7 Pro review: A device that will fascinate first-time premium users
OnePlus Q1 Pro TV
The premium QLED television in OnePlus Q1-series is available at Rs 99,899. In the OnePlus five-year anniversary sale, it gets a flat discount of Rs 5,000 on HDFC Bank debit and credit cards, and EMI transactions. The TV is eligible for no interest EMI on select cards. Additionally, you can exchange your old television for a value of up to Rs 9,140.
OnePlus Q1 TV
The premium QLED television in OnePlus Q1-series is available at Rs 69,900. In the OnePlus five-year anniversary sale, it gets a flat discount of Rs 5,000 on HDFC Bank debit and credit cards, and EMI transactions. The TV is eligible for no interest EMI on select cards. You can also exchange your old television for a value of up to Rs 9,140.


Explore the diagram to understand the process from the refinement of the brief through to manufacturing.


Gecode::Set::Branch Namespace Reference
Set branchings More...
Classes | |
| class | MeritMin |
| Merit class for mimimum of set views. More... | |
| class | MeritMax |
| Merit class for maximum of set view. More... | |
| class | MeritSize |
| Merit class for size of set view. More... | |
| class | MeritDegreeSize |
| Merit class for degree over size. More... | |
| class | MeritAFCSize |
| Merit class for AFC over size. More... | |
| class | MeritActionSize |
| Merit class for action over size. More... | |
| class | MeritCHBSize |
| Merit class for CHB Q-score over size. More... | |
| class | ValSelMin |
| Value selection class for mimimum of view. More... | |
| class | ValSelMax |
| Value selection class for maximum of view. More... | |
| class | ValSelMed |
| Value selection class for median of view. More... | |
| class | ValSelRnd |
| Value selection class for random value of view. More... | |
| class | IncNGL |
| No-good literal for inclusion. More... | |
| class | ExcNGL |
| No-good literal for exclusion. More... | |
| class | ValCommitInc |
| Value commit class for inclusion. More... | |
| class | ValCommitExc |
| Value commit class for exclusion. More... | |
Functions | |
| ValSelCommitBase< SetView, int > * | valselcommit (Space &home, const SetValBranch &svb) |
| Return value and commit for set views. | |
| ValSelCommitBase< SetView, int > * | valselcommit (Space &home, const SetAssign &ia) |
| Return value and commit for set views. | |
| ViewSel< SetView > * | viewsel (Space &home, const SetVarBranch &svb) |
| Return view selectors for set views. |
Detailed Description
Set branchings
Function Documentation
| ValSelCommitBase< SetView, int > * Gecode::Set::Branch::valselcommit | ( | Space & | home, | |
| const SetValBranch & | svb | |||
| ) |
Return value and commit for set views.
| ValSelCommitBase< SetView, int > * Gecode::Set::Branch::valselcommit | ( | Space & | home, | |
| const SetAssign & | sa | |||
| ) |
Return value and commit for set views.


Form Builder
Your Form
Drag & Drop components
The Markdown
This is a *markdown* editor. ------------------------------ Just plain **Markdown**, except that the input is sanitized: Everything inside [name] will be replaced by what you filled in the form input with the name "name". anyone care for some __coffee__
The Output
Create Form


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Given a prompt this generates generates iamges that the user rates by clicking on a star.
The generator can be a Stable Diffusion server or DALL-E
(requires an API key from OpenAi.com).
Machine learning
After you have rated several images (100 works well, maybe less)
you can train the computer to predict how you would rate a new images you've never seen.
Keyboard shortcuts
Learning (when you think you have rated enough and want to start training (or re-start training from scratch))
Additional learning (when you have already done 'Learning' but want to do more training)
Rating (after training has finished you can rate either the best or worst of a number of generated images)
Search (repeats training with different size models and techniques)
Inspect (opens interface where you see training progress, do experiments, and save your model)


{# From jinja2 documentation: "A _() function is added as an alias to the gettext function." https://jinja.palletsprojects.com/en/2.11.x/extensions/#i18n-extension #}


Tutorial : GUI Fade
Objects: VFadeTrack, VFadeEvent, VFadeControl
In order for this Track or Event to work the object named "VFadeControlGui" must exist and be awake. Verve ships with a GUI which handles the creation of this object in the file: Cinematic.gui.
The screen will begin to fade in or out once a Fade Event is triggered. The type of fade is determined by the index of the Event: ODD ordered Events (first, third, fifth...) will fade from black, while EVEN ordered Events (second, fourth, sixth...) will fade to black.
How to Use:
To use fade events, you must first add a VFadeTrack to your sequence's Director Group. If you are unsure of how to create or validate a Group, click here.
Right-Click on the Group, go to "Add Track" and select "Add Fade Track".
Right-Click on the Track and select "Add Event".
Select the newly created Event. The Property List window will refresh and inspect the Event.


A signal is an event that interrupts the normal flow of control in your program. Your operating environment normally defines the full set of signals available (see sys/signal.h), as well as the default means of dealing with them—typically, either printing an error message and aborting your program, or ignoring the signal.
All systems support at least the following signals:
SIGABRT
abort
function.
SIGFPE
SIGILL
SIGINT
SIGSEGV
SIGTERM
Two functions are available for dealing with asynchronous signals—one to allow your program to send signals to itself (this is called raising a signal), and one to specify subroutines (called handlers to handle particular signals that you anticipate may occur—whether raised by your own program or the operating environment.
To support these functions, signal.h defines three macros:
SIG_DFL
signal
function in place of a pointer to a
handler subroutine, to select the operating environment's default
handling of a signal.
SIG_IGN
signal
function in place of a pointer to a
handler, to ignore a particular signal.
SIG_ERR
signal
function in place of a pointer to a
handler, to indicate that your request to set up a handler could not
be honored for some reason.
signal.h also defines an integral type, sig_atomic_t
.
This type is not used in any function declarations; it exists only to
allow your signal handlers to declare a static storage location where
they may store a signal value. (Static storage is not otherwise
reliable from signal handlers.)


Takeoff
Land
Reset
Go to waypoint
Return Home
Clear Route
Follow me
Manual Control
Stop
Phone:
0
,
0
(+/-
0
m)
Drone:
0
,
0
Distance:
0
m
Battery:
0
%
no data


Coffee machine integration app
Want to have a great tasting coffee but you don’t have time to wait for a brewer in the next room to heat up and prepare it for you? That’s where the unique app comes in. With a beautiful Android app you can request a coffee remotely, get notified when it is ready and enjoy your custom flavour preferences.
Bright Inventions implemented the low-level Bluetooth Low Energy communication and achieved the pixel-perfection in applying the customized design provided by the client.
- Android native application: Bluetooth Low Energy


Home Curriculum Portfolio Contact Apply
Applications are now open!
Spring 2017 applications are now open. Click to fill out the application in another window. We look forward to meeting you!


Math for the People is the sum total of the work of many, many individuals. The following community members have authored, reviewed, edited, or contributed in some other way to the first edition (Summer 2022 release) of Math for the People:
in-context


AutoConfig sample demonstrates how to implement Unidrv-based and PScript5-based drivers to leverage the inbox support for auto-configuration.
The sample works only when used with the standard TCP/IP port monitor or the Network-Connected Device (NCD) port monitor.
Note: The sample is provided here only as a proof of concept.
The table shown below identifies which operating systems this sample will build and work on.
|
Operating System |
Can sample be built in the OS? |
Does sample work in the OS? |
Can sample be used in a production environment for the OS? |
|
Windows Vista |
Yes |
Yes |
No |
|
Windows Server 2003 |
No |
No |
No |
|
Windows XP |
No |
No |
No |
|
Windows 2000 |
No |
No |
No |
|
Windows Me |
No |
No |
No |
|
Windows 98 SE |
No |
No |
No |
Prior to Microsoft® Windows® Vista, the settings of a print queue are set initially to the driver's default settings, rather than to the appropriate settings based on the device. For Unidrv or Pscript5, this means that static default values specified in the GPD or PPD file are used for the initial print queue setup. This static set of defaults necessarily must represent the minimum configuration that a printer can ship with. For instance, if a stapling unit is optional for a device, then by default, such a device cannot have stapling capability enabled, otherwise the user interface for devices without the stapling unit would show stapling as an option. A customer who selected the stapling option but found that it did not work would likely be confused.
For any device that comes with features not present in the basic model, a user or administrator must manually configure these features on the print queue after installation. This can at times be a confusing and non-intuitive experience. The configuration process is easy to get wrong, particularly with regard to internal parameters such as memory and hard disk size, which significantly can affect printing speed and quality.
Auto-configuration solves this problem by automatically configuring the print queue according to the installable features on the device, rather than simply using the driver's static default settings. The main target for auto-configuration is network printers. They are the most likely ones to have multiple optional features and require more manual configuration.
Auto-configuration works by means of bi-directional printer communication (also known as bidi communication) between the print subsystem and the printer. In order for auto-configuration to work, the printer must be able to:
· Understand a query sent by the port monitor.
· Generate the appropriate response to the query.
To support auto-configuration, both the printer driver and the port monitor must be modified.
A printer driver must:
· Be aware of the Bidi Notification Schema.
· Be able to receive notifications about device configuration changes using the Bidi Notification Schema.
· Be able to solicit configuration data from the printer using the Bidi Communication Interfaces, and specifically the IBidiSpl2 COM interface (described in the Platform SDK documentation).
A port monitor must:
· Support a device protocol capable of querying the printer's configuration.
· Be able to receive unsolicited status messages from the printer.
· Convert unsolicited status messages to an appropriate driver notification.
· Keep all of the device status and configuration data up-to date by means of polling or alerts.
· Inform the driver or application of any configuration changes in the device.
Unidrv-based and PScript5-based drivers using the standard TCP/IP port monitor or the Network-Connected Device (NCD) port monitor provide support for auto-configuration.
Unidrv Auto-Configuration Sample
The main part of the sample is the auto-configuration GDL file ACnfgUni.GDL. This file implements the *BidiQuery, *BidiResponse and *Option elements that correspond to the Memory, DuplexUnit and PrinterHardDisk features in AutoCnfg.GPD file. The Feature and Option names in the auto-configuration GDL file should exaclty match the corresponding Feature and Option names in the GPD file. The auto-configuration GDL file is specified in the GPD file using the *BidiQueryFile keyword. The auto-configuration GDL content can also be contained directly inside the GPD file itself instead of in a separate GDL file, in which case the *BidiQueryFile keyword should specify the GPD file name.
PScript5 Auto-Configuration Sample
The main part of the sample is the auto-configuration GDL file ACnfgPS.GDL. This file implements the *BidiQuery, *BidiResponse and *Option elements that corresponds to the InstalledMemory, DuplexUnit and HardDisk features in AutoCnfg.PPD file. As mentioned for the Unidrv sample, the Feature and Option names should exactly match. Please note that the GPD and PPD files do not have the same Feature and Option names. That is why the two GDL files are not identical. The auto-configuration GDL file is specified in the PPD file using the *MSBidiQueryFile keyword.
The samples don’t have any binaries to be built. They may be installed by using Add Printer Wizard and supplying the AutoCnfg.INF as the INF file. To test the auto-configuration feature you need to install the driver to a Standard TCP/IP port. You need a printer, which understands and responds to the bidi SNMP queries, connected to the port. The tcpbidi.xml file located in system32 directory has information about the SNMP OIDs used for each query. The installable options in the device settings will reflect the information obtained by querying the printer.
Root:
Files Description
AutoConfig.htm The documentation for this sample (this file)
AutoCnfg.INF The printer INF that will install Unidrv and PScript5 auto-configuration samples
AutoCnfg.GPD The GPD file for the Unidrv auto-configuration sample
AutoCnfg.PPD The PPD file for the PScript5 auto-configuration sample
ACnfgUni.GDL The GDL file for the Unidrv auto-configuration sample
ACnfgPS.GDL The GDL file for the PScript5 auto-configuration sample
For the latest release of the Windows Device Driver Development Kit, see http://www.microsoft.com/whdc/ddk/winddk.mspx.
If you have questions on using or adapting this sample for your project, you can either contact Microsoft Technical Support or post your questions in the Microsoft driver development newsgroup.


Jubilee Austen Portfolio
This landing page was a concept project for a hypothetical client named Jubilee Austen. In it's early stages, it was a single-page, non-responsive website that helped me sharpen my HTML5 and CSS skills. I used Photoshop design files to create a website that was a pixel-perfect match.Through this project, I learned how to extract elements from PSD files like fonts, spacing, sizing, images, and other design elements.
This was a very basic project that I used to teach myself the fundamentals of coding (folder & file structure, relative links, setting up an efficient work space, finding a work flow that fit me, the very basics of CSS styling, web browser developer tools, proper syntax and best practices, etc.) I ultimately circled back and made this web page mobile friendly. This project kick-started my love for web development.


R/funcs.R
libraryFinder.Rd
It'll check for all files that start with `.R`, so `.Rmd` etc are included.
libraryFinder(parentFolder, howLong = 365, whatLib = .libPaths()[1])
| parentFolder | what folder contains all the repos that contain the files to check |
|---|---|
| howLong | specifies which files should be checked, by filtering to files only within `howLong` days ago, Default: 365 |
| whatLib | what folder would you like to install these libraries into? It's wise to install these in a new folder if you are upgrading to a new version of R, Default: .libPaths()[1] |
It spits out to console a command that you can copypaste to install all the CRAN libraries, as well as listing all the non-CRAN libraries it found.
For now the script is super naive, the next thing it can do is identify the package dependencies and do a bit of a smarter install order.


My first experience with Spice products was Spike99. I packed my bong with approximately 1/3 of a gram, and smoked it as if it were marijuana; this was at around midnight. The smoke was harsh and unpleasant. As I started smoking, I was initially disappointed -- marijuana usually affects me fairly quickly while I am smoking it, and I expected Spice to be the same. After a few minutes of smoking, as I was getting ready to give up, I began to feel some familiar effects, only it was missing something. It was like the difference between a rainbow and a line spectrum -- the principle effects were there, but they seemed narrow and concentrated, and not as all-encompassing as marijuana. The effects lasted until I fell asleep.
I woke up the next day feeling a strange sort of effect, as if I was still high but the high was far off and difficult to grasp. After about two hours, this effect dissipated, but I felt tired and out of focus the rest of the day. The next day, there were no after-effects to speak of. The harsh smoke took its toll, however; I felt like I was congested for several days afterward, as if I had smoked a lot of marijuana every morning.
Overall, the experience was enjoyable, and I continued to use Spice over the next few months. I did notice a tolerance building up; although the effects were still present, they seemed diminished and less relevant as time wore on. Smoking more than the usual 1/3g did nothing to change that. The next day effects began to stretch over several days. Additionally, I found that I wanted to use Spice when I woke up, to make the strange feeling more tangible; I did so many times, and thus discovered that the effects last roughly 2 hours, but with very long after effects.
Eventually I ran out of Spike99, but when I went back on Amazon to order more I discovered that it was no longer sold. I found another Spice product, Pulse, and order that. Again, I smoked 1/3g, but the effects were very different. The high was not as narrow as it was with Spike99, and it was much more intense. These effects had a shorter duration, only about 90 minutes, and the after effects are more manageable; however, after several weeks of use, I found that I was getting increasingly foggy-headed and having a lot of difficulty focusing on my work. As with Spike99, I found that a tolerance to Pulse was developing; however, using more than the 1/3g dose generally counteracted this tolerance. As the dose increased, however, the side-effects also increased; in particular, I found that there are very unpleasant cardiac effects. The smoke from Pulse is also very harsh, and again I felt congested after using it.
Several times with both Spike99 and Pulse, I quit for a week or two to try to get less distracted from my work. Quitting is actually a difficult thing to do with these products, particularly for the first day or two, when the 'far off high' after effects are strongest. I found myself craving Spice even a week or more after quitting; only after a month could I say that I really had no cravings. Several times I would use Spice even when I had planned not to, which completely reset the withdrawal cycle.
As with marijuana, I found that the high from Spice leads to more enjoyable sex, although not to the same extent as marijuana. Both solo and with a partner, sex under the influence of Spice felt more intense, both before and after orgasm. Unlike marijuana, however, I did not find myself becoming aroused more easily, I just found myself enjoying sexual activity more. However, the after-effects of Spice diminished the satisfaction I would normally feel the morning after sex, which marijuana seemed to increase. Waking up next to my partner after a night of Spice-enhanced sex, I found that instead of being content to see her lying there and to put an arm around her, I just wanted to have more sex, and use more Spice.
On a few occasions, I mixed Spice with alcohol -- and the results were very unpleasant. The first time, I was just experimenting, and I got one of the worst headaches and hangovers I can remember. Subsequent occasions were unintentional, such as being given wine with dinner a few hours after using Spice, but the results were the same. I would have to wait at least 24 hours before I could safely have a drink. Alcohol and Spice do not mix; I do not know what caused the headache, but it was unpleasant enough that I never want to repeat the experience.
A few times, I smoked some tobacco after Spice. While the effects were not as horrible as with mixing alcohol, they were not enhancing effects either. Tobacco seemed to just clear the after effects of Spice -- this came in handy on occasions where I wanted to have a clear head after using Spice in the morning. I did not smoke tobacco while high on Spice; I generally lacked enough motivation/coordination to cut a cigar or pack my pipe (I do not like cigarettes).
I often mixed Spice with caffeine (in the form of tea). This was fairly ineffective -- the Spice high completely overrode the caffeine effects. The tea was fine for soothing my throat after the harsh smoke.
In all, Spice products make a passable substitute for marijuana, but they are not quite identical. The main effects of the high are about the same, but there are important nuances that Spice just does not seem to provide. Quitting Spice was much more difficult than quitting marijuana, especially with the immediate after effects. The different products seem to have different effects, which I would guess is an artifact of their use of different synthetic cannibinoids (the plant base seems to be damiana, at least from the smell, which does not differ between products).
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


We buy infrastructure!
- redefine out-of-the-box users
- visualize cross-platform mindshare
- target virtual markets
- target ubiquitous markets
- evolve compelling methodologies
- exploit open-source methodologies
- empower killer solutions
- morph web-enabled vortals
- seize vertical relationships
- maximize bleeding-edge functionalities
- scale granular partnerships
- empower e-business schemas
- seize interactive architectures


Beta This is a test version of the layout of this page. Take the survey to help us improve it
FOI release
Information request and disclosure about A level passes in foreign languages.
Can the Department provide the following information:
a) the number of students who sat A levels
b) the pass rate of these students
c) the number of students who took a foreign language at A level
d) the pass rate of these students
e) the number of students who studied the Irish language at A level
f) the number of these students who are located in Northern Ireland, England, Wales and Scotland
g) the pass rate of students who studied the Irish language at A level
h) the pass rate of students who studied the Irish language at A level in Northern Ireland, England, Scotland and Wales.
The Joint Council for Qualifications (JCQ) released the majority of the information when students received their A level results in August. The published information can be downloaded from the JCQ website .
There were 853,933 individual A level entries in the UK (England, Wales and Northern Ireland) in summer 2010. The Department does not yet know what that equates to in terms of the number of individual students but it was around 260,000 aged 16 to 18 in England in 2009.
The pass rate for all A levels was 97.6%.
Foreign languages are split into:
There were 352 entries in Irish.
All entries in Irish were in Northern Ireland.
The pass rate in Irish was 98.6%.


This website was created by Reuben Thiessen. Inspiration for the music creation page was from the example page found on https://github.com/paulrosen/abcjs. The ABC Primer was modified to use ABCJS library to display music notation and to work offline. The Primer's author remains John Chambers and the original document can be found at http://trillian.mit.edu/~jc/music/abc/doc/ABCprimer.html. It is not my intent to claim authorship of the document.
My hope is that this site is used to introduce people to music theory and provide a way to explore with music.


I figure that it’s always good to be a little behind the technical bleeding edge. It makes you seem like some sort of hipster luddite, or at least makes you feel like you’re being fashionably late to the party. Hence my late exploration of Jekyll, which was initially conceived by one of Github’s founders back in 2008. I’m only 13 years behind, but hey, better late than never.
Actually, I’ve had some sort of lame attempt at a Blog up in the past, but I always found the overhead of maintaining it to be more of a pain in the butt than it was worth. Below was the latest attempt, using R-Studio to build and manage a website. It worked, but I hated having to build the site every time I made a change.
I also tried out Google’s Blogspot and got a few posts going in it, but it took more work than I wanted to commit to and it lacked the conceptual simplicity I was looking for. We’ll see how Jekyll does, but already I like what I’m seeing.
A few of my requirements for a Blog:
So far, it looks like Jekyll meets all of these requirements, but we’ll see how it goes. Thanks to Barry Clark’s post from 2014 for getting this going.
Simply add markdown docs into the site. GitHub will automatically take care of building the Jekyll site and posting it in your github.io page.
.
├── 404.md
├── about.md
├── CNAME
├── _config.yml
├── images
├── _includes
├── index.html
├── _layouts
├── LICENSE
├── _posts
│ ├── 2021-9-11-Ebike-Conversion.md <-- Here
│ └── 2021-9-11-First-Post.md
├── README.md
├── _sass
└── style.scss
IF you want to preview the site locally, you’ll have to install Jekyll locally as well and use it to serve the site.
$ sudo apt install ruby
$ sudo apt install ruby-dev
$ sudo gem install github-pages
$ cd $HOME/<git_acct>.github.io.git
$ jekyll serve --watch
...
Server address: http://<IP_ADDRESS>:4000/
Server running... press ctrl-c to stop.


2 writes to _value
System.Management.Automation (2)
engine\MshReference.cs (2)
36
_value
= value;
70
_value
= value;
3 references to _value
System.Management.Automation (3)
engine\MshReference.cs (3)
50
PSVariable variable =
_value
as PSVariable;
57
return
_value
;
62
PSVariable variable =
_value
as PSVariable;


Boeing says timing of 737 MAX return in hands of regulators
by ReutersDUBAI — Boeing said on Saturday the U.S. Federal Aviation Administration and other global regulators would decide the timing of the return to service of its 737 MAX, which has been grounded since March in the wake of two fatal crashes.
The head of the FAA has told his team to “take whatever time is needed” in its review of the MAX, according to a Nov. 14 memo seen by Reuters, issued days after Boeing said it expected the FAA to certify the 737 MAX in mid-December.
“The FAA and regulators around the world control the schedule,” Stan Deal, chief executive of Boeing Commercial Airplanes, told a news conference on the eve of the Dubai Airshow. (Reporting by Tim Hepher; editing by David Evans)


The models in this package are taken from Chapter 10 of: 'Introduction to Physical Modeling with Modelica' by Michael Tiller


Author: {{ votes.author }}
Posted by: {{ votes.postedBy }}
Posted {{ votes.datePosted | dayPosted }} on {{ votes.datePosted | date }}


Uses of Class
org.drip.validation.evidence.Sample
| Package | Description |
|---|---|
| org.drip.measure.bayesian |
Prior, Conditional, Posterior Theil Bayesian
|
| org.drip.measure.gamma |
R1 Gamma Distribution Implementation/Properties
|
| org.drip.validation.evidence |
Sample and Ensemble Evidence Processing
|
| org.drip.validation.riskfactorjoint |
Joint Risk Factor Aggregate Tests
|
| org.drip.validation.riskfactorsingle |
Single Risk Factor Aggregate Tests
|
-
Uses of Sample in org.drip.measure.bayesian
Methods in org.drip.measure.bayesian with parameters of type Sample Modifier and Type Method Description boolean
ConjugateParameterPrior. bayesUpdate(Sample sample)
Perform an Bayes' Update of the Conjugate Prior from the Sample -
Uses of Sample in org.drip.measure.gamma
Methods in org.drip.measure.gamma that return Sample Modifier and Type Method Description Sample
R1ParameterEstimator. sample()
Retrieve the Samples used for the ML EstimateSample
R1ScaleInvariantScaleParameterEstimator. sample()
Retrieve the Samples used for the ML EstimateMethods in org.drip.measure.gamma with parameters of type Sample Modifier and Type Method Description boolean
ConjugateScalePrior. bayesUpdate(Sample sample)
boolean
ConjugateShapePrior. bayesUpdate(Sample sample)
boolean
ConjugateShapeScalePrior. bayesUpdate(Sample sample)
Perform an Bayes' Update of the Conjugate Prior from the SampleConstructors in org.drip.measure.gamma with parameters of type Sample Constructor Description R1ConsistentEstimator(Sample sample)
R1ConsistentEstimator ConstructorR1MaximumLikelihoodEstimator(Sample sample)
R1MaximumLikelihoodEstimator ConstructorR1ScaleInvariantScaleParameterEstimator(Sample sample)
R1ScaleInvariantScaleParameterEstimator Constructor -
Uses of Sample in org.drip.validation.evidence
Methods in org.drip.validation.evidence that return Sample Modifier and Type Method Description Sample[]
Ensemble. sampleArray()
Retrieve the Array of the Statistical Hypothesis SamplesConstructors in org.drip.validation.evidence with parameters of type Sample Constructor Description Ensemble(Sample[] sampleArray, TestStatisticEvaluator[] testStatisticEvaluatorArray)
Ensemble Constructor -
Uses of Sample in org.drip.validation.riskfactorjoint
Methods in org.drip.validation.riskfactorjoint that return Sample Modifier and Type Method Description Sample
NormalSampleCohort. reduce(java.lang.String label1, java.lang.String label2)
Sample
SampleCohort. reduce(java.lang.String label1, java.lang.String label2)
Reduce the Joint Realizations for the Pair of State Labels to a Single Risk Factor Sample -
Uses of Sample in org.drip.validation.riskfactorsingle
Methods in org.drip.validation.riskfactorsingle with parameters of type Sample Modifier and Type Method Description static DiscriminatoryPowerAnalyzer
DiscriminatoryPowerAnalyzer. FromSample(Sample sample, GapTestSetting gapTestSetting)
Construct a DiscriminatoryPowerAnalyzer Instance from the Sample


Vue Insert Compo
A lightweight helper to insert Vue component and create Vue popups easily.
Demos
Modal
It creates a mode that disable the main window, but keeps it visible with the modal window as a child window in front of it.
It captures user's attention effectively. Usually used with forms, alerts, and other important events.
Notification
Having a global notification, without disabling user interaction with the main window.
It's lighter than modal. Usually used as a feedback to a previous user interaction.
Loading
Displays a loading animation at the top of the viewport, without blocking user interaction with the main window.
Loading animation relieves user's anxiousness when waiting for something to happen.
Message
It creates a small stackable message window that waits for the user to process, wihout blocking user's interaction with the main window.
The messages needs to be handled when the user is free, so they stack quietly at the corder.


Phone: {{ schoolDetails?.Phone | NoDataPipe }}
Fax: {{ schoolDetails?.Fax | NoDataPipe }}
Email: {{ schoolDetails?.School_Email | NoDataPipe }}
Address: {{schoolDetails?.Street + ", " + schoolDetails?.Town_suburb + ", " + schoolDetails?.Postcode + ", NSW, Australia" | NoDataPipe}}


The game code for the game
The Link Target, if it exists
The game url
The type of screenshot, if it exists
The screenshot URL, if it exists
The variation of the thumbnail
The game's title
The title name in Asian characters
Generated using TypeDoc
The game code for the game


March 2019
Sunday
Off.
♦ Saturday night/Sunday morning hackathon to build the first vertical garden prototype out of Badoit bottles - the Lab is easy to handle.
♦ Good chat with Carolyn Steel and other Hivers.
The pocket Lab has a new Logo.
Saturday
Redemption day.
♦ Quick update of what is going on here through a video - sent to New Zealand friends. Then, slow motion visit of Aix for basic requirements, such as acquiring some pink pants.
♦ Looking into Who Carolyn Steel is, and slowly educating myself with the challenge related to agriculture and urbanism combined.
And "Badoit" bottles seem to offer an ideal shape for a food tower.
Friday
Project presentation.
♦ Presentation time.
- (Morning) Final touch up of the slides and Practicing our presentation as a group. Amusing exercise : adjusting the speed and flow of the presentation to go smoothly from one speaker to the other.
- (Afternoon) Formal Presentation #01 : ticked off. pfff. That excruciatingly unnerving expericence, intense emotion which sources are unexplained by logic itself. Followed by :
- Re-presentation of the SAME topic, after David, the co-founder of Ici Marseille - therefore potentially the person most impacted by our work - shows up with a little delay. This time : no traumatic stress reaction at all : clarity of mind filling the brain, and keeping the audience awake. Life is good.  Amusing, confusing, entertaining for sure.
♦ Celebratory catch up, followed by celebratory party. We allegedly trash the very space we worked in, and wash away the profusion of nonsensical concepts to ground ourselves back into our humanity.
Best approach to wrap up the week.
rien
Thursday
Merging the building blocks together.
a quick catch up before we, this time, go each in a different way to expand on our specific approaches. No designated tasks. We will turn into night howls, putting together the slides for the presentation. Engineering brains meet Visual-thinker brains themselves meeting design-focus brains, and little sparks of friction-driven creativity both lead and blind us all consecutively.
♦ First step on the stage of the amphitheatre, for a reading out loud session, digging my heels into the ground.
The feeling of gathering many people's energy around a subject that fairly matters to us is a precious experience.
rien
Wednesday
Debrief and choosing a point of focus about Ici Marseille
♦ We all gather - Hayeon, Dian, Ihab, Oluwatobi and I - and let it flow. Expanding, then narrowing to identify the challenges to respond to. Again : Expanding, then narrowing it down, to select the most promising, realistic, accessible solution to it. And again : Expanding, then narrowing it down to shape the concept in finest details. Using different tools all at once, sometimes at the same time.
♦ Night owls for the first time at the Hive. The 20 of us shifting from gathering around to hiding into our headphones, giving shape to our ideas through our keyboards.
Lots of creative juice splashed around.
Tuesday
Visit of 3 sites in Marseille.
♦ Visite of Air Bel , Coco Velten and Ici Marseille with a "Living City" focus. I am attached to the IciMarseille Team. This Fab lab is ... spaciously scaled: largest makerspace in France.
♦ Late brainstorm to identify the areas requiring our attention : communication, diversity and design of the space.
Flee market with a GIANT antique shop.
A 6-month residency program at TheCamp, France. Hosting 20 artists and creators from all over the world. A collaborative expedition to explore and hack the future, developing concrete solutions applied to universal issues. Energy, oceans, mobility, education, quality of life…
Just like previous seasons, Hive #03 is full of interdisciplinary backgrounds: choreographer, machine-learning expert, engineer, creative director, photographer, film-maker, coder, maker, sound artist, architect, service designer, UX designer, illustrator, digital artist…
Baptiste initially worked as a 3D animator and Lead Artist in the video game industry, widening his technical skill set and coordinating the effort of small creative teams.
Baptiste regularly stepped back from his digital trade, working as a craftsperson, rock climbing instructor, and studying therapeutic massage, sustainable horticulture and more recently digital fabrication.
His taste for the outdoors led him to settle in New Zealand and dedicate his time to the creation of a community lab focused on local fabrication, urban food production and civic engagement.
Write us a message below if you wish to get in touch, thanks!


Gibbs Sampling
Review:
In the previous post, we talked about the Dirichlet process and Dirichlet process mixture, as the Dirichlet process is for CDF estimation and the Dirichlet process mixture is for density estimation (i.e., both are tools for estimation distributions).
Each sample from the Dirichlet process prior has a random collection of weights assigned to a random selection of data. Indeed, we wanted to make synthetic data, and the stick-breaking process was a valuable tool. In the stick-breaking process, we sampled the distribution function. Not any distribution function. It was a step function. We can approximate any smooth function via the step function, and the Dirichlet process prior is concentrated at the step function. We said that posterior is another Dirichlet process: $\text{DP}(\alpha+n , \hat{F_n})$ where $n$ is the number of data points we observed and:
$$ \hat{F_n} = \frac{n}{n+\alpha}F_n+\frac{\alpha}{n+\alpha}F_0 $$
We also talked about the effect of $\alpha$.
- Increasing $\alpha$ leads to having many pieces in the stick-breaking process, then the posterior will be concentrated on the prior distribution.
- Decreasing $\alpha$ leads to having fewer pieces in the stick-breaking process, then the posterior will likely be close to accurate distribution (i.e., possibly with high $n$, which means many steps).
However, we can only sometimes efficiently compute the posterior for the Dirichlet process mixture.
Gibbs sampling approximates our inference. Chinese restaurant problem is instrumental for Gibbs sampling to get to work. CRP helps us to parametrize the repeats of samples $X_1, X_2,..$:
$$ X_1,X_2,.., X_n | F \sim F $$
Let $n_j=|\{i:c_j=j\}|$ is the number of times $X_j^*$ appears. Then:
$$ X_n = \begin{cases} X_j^* & \text{with probability } \frac{n_j}{n+\alpha-1} \\ X\sim F_{0} & \text{with probability } \frac{\alpha}{n+\alpha-1} \end{cases} $$
Nonparametric Bayesian Mixture model
$$ \begin{aligned} F\sim DP(\alpha,F_0) \\ \theta_1,\theta_2,..\theta_n | F \sim F \\ X_i | \theta_i \sim f(x|\theta_i) ~ i=1,2,.. \end{aligned} $$
- $F$ is the distribution of parameters, not data.
- $X_i$ is a sample from the density function corresponding to parameter $\theta_i$
$$ \theta_{n+1} = \begin{cases} \theta_j^* & \text{with probability } \frac{n_j}{n+\alpha-1} \\ \theta\sim F_{0} & \text{with probability } \frac{\alpha}{n+\alpha-1} \end{cases} $$
Gibbs sampling
- Goal: To sample from posterior.
- We will use the CRP to approximate the DPM posterior.
- I have prior DP prior. I observed data: $X_1, X_2,.., X_5$.
- To draw samples from posterior: $\theta_1,\theta_2,..\theta_5$ and $\theta_0$ from $F_0$.
- Why? CRP helps us to predict the next point (e.g., $X_{n+1}$).
$$ f(x|\theta) = \frac{1}{5+\alpha}f(X|\theta_1) +..+ \frac{1}{5+\alpha}f(X|\theta_5) +\frac{\alpha}{5+\alpha}f(X|\theta_0) $$
problem? I am ignoring the repeats of the data. In general, with repeats. With repeats:
$$ f(x|\theta) = \sum_{\text{tables} j} \frac{n_j}{5+\alpha} f(x|\theta_j^*) + \frac{\alpha}{5+\alpha} f(x|\theta_0) $$
If $f$ are Gaussian with different means, $f(x|\theta) $ is the sum of Gaussians with different weights. Gibbs sampling will help us how to sample these $\theta$. In general, Gibbs sampler works as follows:
- I want sample from posterior $P(\theta_1,\theta_2,..,\theta_n| \text{Data})$
- Gibbs sampling will sample one dimension given all the others.
- Pick a random $j$
- Sample $\theta_j$ from $P(\theta_j| \text{Data}, \theta_{-j})$. It means freeze all $\theta$ except $\theta_j$.
In Gibbs sampling, there are two random elements. Which ones?
- $\theta$ or dishes
- clustering or which customer sits where
There is another version of CRP that only involves the second one: Collapsed Gibbs sampling.
Simple setup:
$$ f_x(\theta) \sim \text{Normal}(\theta,\sigma^2) $$
And base distribution:
$$ F_0 \sim \text{Normal}(\mu_0,\tau_o^2) $$
Posterior:
$$ \begin{aligned} P(\theta| X_1,..,X_n) \sim & \text{Normal}(\bar{\theta_n},\bar{\tau^2}_n) \\ \text{posterior mean: } \bar{\theta_n} = & w_n \bar{x_n} + (1-w_n)\mu_o \\ \text{posterior variance: } 1/\bar{\tau_n^2}= & 1/{\sigma^2_n} + 1/{\tau_0^2} \end{aligned} $$
You can show that as the sample size $n$ gets large, the bayesian inference and frequentist approaches will give the same results. In other words, posterior distribution becomes concentrated around the sample mean, the maximum likelihood estimator, and the variance goes to zero. Also, the predictive distribution:
$$ X_{n+1}|X_1,..X_n \sim \text{Normal}(\bar{\theta_n},\tau_n^2+\sigma^2) $$
Where $\sigma^2$ comes from the additional prediction.
Let’s remove the first customer and suppose the rest are in a restaurant:
What’s the chance customer $1$ is seated at table $1$? $$ \begin{aligned} P(X|\theta_1) \propto \frac{1}{4+\alpha} w_1 \\ w_1 =p(x_1|\theta_1^*)\\ P(X|\theta_2) \propto \frac{1}{4+\alpha} w_2 \\ w_2 =p(x_1|\theta_2^*)\\ P(X|\theta_3) \propto \frac{1}{4+\alpha} w_3 \\ w_3 =p(x_1|\theta_3^*)\\ \end{aligned} $$
these $w_1,w_2,w_3$ are like three sided dices. Maybe you will get table 2:
We have to resample two tables:
- The table that we removed $X_1$ from
- The table that we added $X_1$ to
If you repeat this process many times, you will end up with $\theta_1^*$, $\theta_2^*$, ..$\theta_n^*$.
We covered this post in the intermediate machine learning SDS 365/565, Yale University, John Lafferty, where I was TF.


Programming Language Suggester
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|
RCI Message Board
1.0
https://github.com/Jguer/RCI-Message-Board
|
#include "identity.h"
Go to the source code of this file.
Macros | |
| #define | REQUEST "GET_SERVERS" |
Functions | |
| int | init_tcp (server host) |
| int | init_udp (server host) |
| struct addrinfo * | reg_server (int_fast16_t *fd, server host, char *ip_name, char *udp_port) |
| int | update_reg (int fd, struct addrinfo *id_server_info) |
| int | send_initial_comm (int processing_fd) |
| int | connect_to_old_server (server old_server, bool is_comm_sent) |
| int | join_to_old_servers (list msgservers_list, server host) |
| int | remove_bad_servers (list servers_list, server host, int max_fd, fd_set *rfds, void(*SET_FD)(int, fd_set *)) |
| int | tcp_new_comm (list servers_list, int listen_fd, fd_set *rfds, int(*STAT_FD)(int, fd_set *)) |
| char * | get_servers (int fd) |
| uint_fast8_t | parse_servers (int_fast16_t udp_register_fd, list msgsrv_list) |
| uint_fast8_t | handle_join (list msgsrv_list, int_fast16_t *udp_register_fd, server host, char *id_server_ip, char *id_server_port) |
Variables | |
| struct addrinfo * | id_server = NULL |
| #define REQUEST "GET_SERVERS" |
Definition at line 3 of file identity.c.
| int connect_to_old_server | ( | server | old_server, |
| bool | is_comm_sent | ||
| ) |
Definition at line 128 of file identity.c.
| char* get_servers | ( | int | fd | ) |
Definition at line 279 of file identity.c.
| uint_fast8_t handle_join | ( | list | msgsrv_list, |
| int_fast16_t * | udp_register_fd, | ||
| server | host, | ||
| char * | id_server_ip, | ||
| char * | id_server_port | ||
| ) |
Definition at line 367 of file identity.c.
| int init_tcp | ( | server | host | ) |
Definition at line 7 of file identity.c.
| int init_udp | ( | server | host | ) |
Definition at line 45 of file identity.c.
Definition at line 187 of file identity.c.
| uint_fast8_t parse_servers | ( | int_fast16_t | udp_register_fd, |
| list | msgsrv_list | ||
| ) |
Definition at line 322 of file identity.c.
| struct addrinfo* reg_server | ( | int_fast16_t * | fd, |
| server | host, | ||
| char * | ip_name, | ||
| char * | udp_port | ||
| ) |
Definition at line 72 of file identity.c.
| int remove_bad_servers | ( | list | servers_list, |
| server | host, | ||
| int | max_fd, | ||
| fd_set * | rfds, | ||
| void(*)(int, fd_set *) | SET_FD | ||
| ) |
Definition at line 209 of file identity.c.
| int send_initial_comm | ( | int | processing_fd | ) |
Definition at line 116 of file identity.c.
| int tcp_new_comm | ( | list | servers_list, |
| int | listen_fd, | ||
| fd_set * | rfds, | ||
| int(*)(int, fd_set *) | STAT_FD | ||
| ) |
Definition at line 250 of file identity.c.
| int update_reg | ( | int | fd, |
| struct addrinfo * | id_server_info | ||
| ) |
Definition at line 104 of file identity.c.
| struct addrinfo* id_server = NULL |
Definition at line 5 of file identity.c.


Part1 of a 2 part blog on using the Ansible network-engine's command parser
26 Jun 2018A very brief introduction
The network-engine role was made available through Ansible galaxy recently. One of the modules this role makes available for network engineers, is the command parser. As the name implies, command parser enables the user to parse the output of show commands - commands that network engineers know and love, that are “pretty” formatted but not structured.
Until recently, I had only used TextFSM to do this. While TextFSM works, it has a significant learning curve, IMO. Last week I decided to give the command_parser
module a spin and right off the bat my impressions were:
-
If you are already comfortable using Ansible, you will feel at home working with the command parser
-
The learning curve is much shorter without needing to worry about learning another domain specific language
Note: This is in no way pitting one against the other. network-engine provides a textfsm_parser as well as the command_parser
My intention through the 2 part blog, is to write about how to build command parser templates using 2 examples. I hope it will help others and will serve as a reference when I need it later.
However, first thing first - The official documentation is available here: command parser directives
Diving in: parsing the output of show ip interfaces brief
on a Cisco IOS device
Rather than reiterate what is in the documentation, lets dive in with an example. We’ll start off with the playbook that captures the output of the show ip interfaces brief
command.
---
- name: GENERATE A REPORT
hosts: cisco
gather_facts: no
connection: network_cli
roles:
- ansible-network.network-engine
tasks:
- name: CAPTURE SHOW IP INTERFACE
ios_command:
commands:
- show ip interface brief
register: output
- name: DISPLAY THE OUTPUT
debug: var=output.stdout
This should hopefully look familiar to folks who are used to using Ansible for working with network devices. Pay attention to the
roles:
- ansible-network.network-engine
This is the role that provides the command_parser
library that we will be working with. This role can be downloaded and installed as per instructions in the links above.
On running the playbook (and limiting it to a single device):
PLAY [GENERATE A REPORT ] ***************************************************************************
TASK [CAPTURE SHOW IP INTERFACE] ****************************************************************************
ok: [rtr1]
TASK [DISPLAY THE OUTPUT] *****************************************************************************************************************************************************************************************
ok: [rtr1] => {
"output.stdout": [
"Interface IP-Address OK? Method Status Protocol\nGigabitEthernet1 <IP_ADDRESS> YES DHCP up up \nLoopback0 <IP_ADDRESS> YES manual up up \nLoopback1 <IP_ADDRESS> YES manual administratively down down \nTunnel0 <IP_ADDRESS> YES manual up up \nTunnel1 <IP_ADDRESS> YES manual up up \nVirtualPortGroup0 <IP_ADDRESS> YES TFTP up up"
]
}
PLAY RECAP ********************************************************************************************************************************************************************************************************
rtr1 : ok=2 changed=0 unreachable=0 failed=0
So far so good. We got the output of the show command. Now we can send this “blob” of text to a command parser that can create structured data from it.
---
- name: DYNAMIC REPORTING PART
hosts: cisco
gather_facts: no
connection: network_cli
roles:
- ansible-network.network-engine
tasks:
- name: CAPTURE SHOW IP INTERFACE
ios_command:
commands:
- show ip interface brief
register: output
- name: DISPLAY THE OUTPUT
debug: var=output.stdout
- name: PARSE THE RAW OUTPUT
command_parser:
file: "parsers/ios/show_ip_interface_brief.yaml"
content: "{{ output.stdout[0] }}"
Now, we get into the meat of this blog. Using the command_parser
module.
Writing our first parser
This is my workflow for creating a new parser:
-
Identify the regular expression/expressions needed to collect the data using regex101.com
-
Use the parser directives to test out the regular expression
-
Iterate and refine
So let’s begin with creating the regular expression. Let’s say we want to capture the Interface name, IP address, Admin state and Protocol State . The following regular expression is what I came up with:
^(\\S+)\\s+(\\d+\\.\\d+\\.\\d+\\.\\d+).*(up|administratively down).*(up|down)
On to step 2 testing this. The parser file defined by
file: "parsers/ios/show_ip_interface_brief.yaml"
is a YAML file.
---
- name: PARSER META DATA
parser_metadata:
version: 1.0
command: show ip interface brief
network_os: ios
- name: MATCH PATTERN
pattern_match:
regex: "^(\\S+)\\s+(\\d+\\.\\d+\\.\\d+\\.\\d+).*(up|administratively down).*(up|down)"
match_all: yes
register: section
export: yes
Here we are using the pattern_match
directive. The regex is now applied to the blob of input passed in from the playbook task. The match groups are collected and stored into the variable called section
. We use the match_all
option in order to match all the capture groups.
Note the use of the export: yes
. Without this directive the variable and value contained will not be sent back to the playbook for further processing.
As part of our development of the parser we might have to use the
export: yes
at multiple stages.
In order to test this, re-run the playbook but in verbose
mode:
TASK [PARSE THE RAW OUTPUT] ***************************************************************************************************************************************************************************************
ok: [rtr1] => {"ansible_facts": {"section": [{"matches": ["GigabitEthernet1", "<IP_ADDRESS>", "up", "up"]}, {"matches": ["Loopback0", "<IP_ADDRESS>", "up", "up"]}, {"matches": ["Loopback1", "<IP_ADDRESS>", "administratively down", "down"]}, {"matches": ["Tunnel0", "<IP_ADDRESS>", "up", "up"]}, {"matches": ["Tunnel1", "<IP_ADDRESS>", "up", "up"]}, {"matches": ["VirtualPortGroup0", "<IP_ADDRESS>", "up", "up"]}]}, "changed": false, "included": ["parsers/ios/show_ip_interface_brief.yaml"]}
PLAY RECAP ********************************************************************************************************************************************************************************************************
rtr1 : ok=2 changed=0 unreachable=0 failed=0
Great! We can already see the data being returned as list of dictionaries. Now within the command parser you have the option of cleaning up and presenting this data as a structured json
object. Let’s do that as the next step using the json_template
directive:
---
- name: PARSER META DATA
parser_metadata:
version: 1.0
command: show ip interface brief
network_os: ios
- name: MATCH PATTERN
pattern_match:
regex: "^(\\S+)\\s+(\\d+\\.\\d+\\.\\d+\\.\\d+).*(up|administratively down).*(up|down)"
match_all: yes
register: section
- name: GENERATE JSON DATA STRUCTURE
json_template:
template:
- key: "{{ item.matches.0 }}"
object:
- key: data
object:
- key: name
value: "{{ item.matches.0 }}"
- key: ip
value: "{{ item.matches.1 }}"
- key: admin_state
value: "{{ item.matches.2 }}"
- key: protocol_state
value: "{{ item.matches.3 }}"
loop: "{{ section }}"
export: yes
register: ip_interface_facts
The previous match was registered into a variable called section
. This is a list as seen from the verbose output above. This list can be looped over to work on individual elements using the loop
directive. The json_template
directive is used to define a nested dictionary with the key of each element being the name of the interface in this example.
Note: The export: yes has been moved from the section variable to the ip_interface_facts variable.
Once exported the variable becomes available within the playbook and can be used just like any other variable in Ansible. Let’s go ahead and display this using debug
:
---
- name: DYNAMIC REPORTING PART
hosts: cisco
gather_facts: no
connection: network_cli
roles:
- ansible-network.network-engine
tasks:
- name: CAPTURE SHOW IP ROUTE
ios_command:
commands:
- show ip interface brief
register: output
- name: PARSE THE RAW OUTPUT
command_parser:
file: "parsers/ios/show_ip_interface_brief.yaml"
content: "{{ output.stdout[0] }}"
- name: DISPLAY THE DATA
debug: var=ip_interface_facts
Now when we run the playbook:
TASK [DISPLAY THE DATA] *******************************************************************************************************************************************************************************************
ok: [rtr1] => {
"ip_interface_facts": [
{
"GigabitEthernet1": {
"data": {
"admin_state": "up",
"ip": "<IP_ADDRESS>",
"name": "GigabitEthernet1",
"protocol_state": "up"
}
}
},
{
"Loopback0": {
"data": {
"admin_state": "up",
"ip": "<IP_ADDRESS>",
"name": "Loopback0",
"protocol_state": "up"
}
}
},
{
"Loopback1": {
"data": {
"admin_state": "administratively down",
"ip": "<IP_ADDRESS>",
"name": "Loopback1",
"protocol_state": "down"
}
}
},
{
"Tunnel0": {
"data": {
"admin_state": "up",
"ip": "<IP_ADDRESS>",
"name": "Tunnel0",
.
.
.
.
.
<output omitted for brevity>
Now, wasn’t that easy!! At least I think it was a lot easier to work with personally than TextFSM.
In part 2 of the blog series we will build a command parser for the show interfaces
command on IOS devices. This will be a little more complex than the example in part 1 and will hopefully help demonstrate how really powerful the command_parser
module is.
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