Announcing Apache Flink 1.2.0
February 6, 2017 -The Apache Flink community is pleased to announce the 1.2.0 release. Over the past months, the Flink community has been working hard to resolve 650 issues. See the complete changelog for more detail.
This is the third major release in the 1.x.y series. It is API compatible with the other 1.x.y releases for APIs annotated with the @Public annotation.
We encourage everyone to download the release and check out the documentation. Feedback through the Flink mailing lists is, as always, gladly encouraged!
You can find the binaries on the updated Downloads page. Some highlights of the release are listed below.
Dynamic Scaling / Key Groups #
Flink now supports changing the parallelism of a streaming job by restoring it from a savepoint with a different parallelism. Both changing the entire job’s parallelism and operator parallelism is supported.
In the StreamExecutionEnvironment
, users can set a new per-job configuration parameter called “max parallelism”. It determines the upper limit for the parallelism.
By default, the value is set to:
128
: for all parallelism <= 128MIN(nextPowerOfTwo(parallelism + (parallelism / 2)), 2^15)
: for all parallelism > 128
The following built-in functions and operators support rescaling:
- Window operator
- Rolling/Bucketing sink
- Kafka consumers
- Continuous File Processing source
The write-ahead log Cassandra sink and the CEP operator are currently not rescalable. Users using the keyed state interfaces can use the dynamic scaling without changing their code.
Rescalable Non-Partitioned State #
As part of the dynamic scaling effort, the community has also added rescalable non-partitioned state for operators like the Kafka consumer that don’t use keyed state but instead use operator state.
In case of rescaling, the operator state needs to be redistributed among the parallel consumer instances. In case of the Kafka consumer, the assigned partitions and their offsets are redistributed.
ProcessFunction #
The ProcessFunction
is a low-level stream processing operation giving access to the basic building blocks of all (acyclic) streaming applications:
- Events (stream elements)
- State (fault tolerant, consistent)
- Timers (event time and processing time)
The ProcessFunction can be thought of as a FlatMapFunction with access to keyed state and timers.
Async I/O #
Flink now has a dedicated Async I/O operator for making blocking calls asynchronously and in a checkpointed fashion. For example, there are many Flink applications that need to query external datastores for each element in a stream. To avoid slowing down the stream to the speed of the external system, the async I/O operator allows requests to overlap.
Run Flink with Apache Mesos #
The latest release further extends Flink’s deployment flexibility by adding support for Apache Mesos and DC/OS. In combination with Marathon, it is now possible to run an highly available Flink cluster on Mesos.
Secure Data Access #
Flink is now able to authenticate against external services such as Zookeeper, Kafka, HDFS and YARN using Kerberos. Also, experimental support for encryption over the wire has been added.
Kerberos documentation and SSL setup documentation.
Queryable State #
This experimental feature allows users to query the current state of an operator. If you have, for example, a flatMap() operator that keeps a running aggregate per key, queryable state allows you to retrieve the current aggregate value at any time by directly connecting to the TaskManager and retrieving that value.
Backwards compatible savepoints #
Flink 1.2.0 allows users to restart a job from an 1.1.4 savepoint. This makes major Flink version upgrades possible without losing application state. The following built-in operators are backwards compatible:
- Window operator
- Rolling/Bucketing sink
- Kafka consumers
- Continuous File Processing source
Upgrading Flink applications documentation
Table API & SQL #
This release significantly expanded the performance, stability, and coverage of Flink’s Table API and SQL support for batch and streaming tables.
The community added tumbling, sliding, and session group-window aggregations over streaming tables
e.g. table.window(Session withGap 10.minutes on 'rowtime as 'w)
SQL supports more built-in functions and operations
e.g. EXISTS
, VALUES
, LIMIT
, CURRENT_DATE
, INITCAP
, NULLIF
Both APIs support more data types and are better integrated
e.g. access a POJO field myPojo.get('field')
, myPojo.flatten()
Users can now define their own scalar and table functions
e.g. table.select('uid, parse('field) as 'parsed).join(split('parsed) as 'atom)
Flink Table API & SQL documentation
Miscellaneous improvements #
-
Metrics in Flink web interface: A metrics system was added in Flink 1.1, and with this release, Flink provides a new tab in the web frontend to see some of the metrics in the web UI.
-
Kafka 0.10 support: Flink 1.2 now provides a connector for Apache Kafka 0.10.0.x, including support for consuming and producing messages with a timestamp using Flink’s internal event time (Kafka Connector Documentation)
-
Evictor Semantics: Flink 1.2 ships with more expressive evictor semantics that allow the programmer to evict elements form a window both before and after the application of the window function, and to remove elements arbitrarily (Evictor Semantics Documentation)
List of Contributors #
According to git shortlog, the following 122 people contributed to the 1.2.0 release. Thank you to all contributors!
- Abhishek R. Singh
- Ahmad Ragab
- Aleksandr Chermenin
- Alexander Pivovarov
- Alexander Shoshin
- Alexey Diomin
- Aljoscha Krettek
- Andrey Melentyev
- Anton Mushin
- Bob Thorman
- Boris Osipov
- Bram Vogelaar
- Bruno Aranda
- David Anderson
- Dominik
- Evgeny_Kincharov
- Fabian Hueske
- Fokko Driesprong
- Gabor Gevay
- George
- Gordon Tai
- Greg Hogan
- Gyula Fora
- Haohui Mai
- Holger Frydrych
- HungUnicorn
- Ismaël Mejía
- Ivan Mushketyk
- Jakub Havlik
- Jark Wu
- Jendrik Poloczek
- Jincheng Sun
- Josh
- Joshi
- Keiji Yoshida
- Kirill Morozov
- Kurt Young
- Liwei Lin
- Lorenz Buehmann
- Maciek Próchniak
- Makman2
- Markus Müller
- Martin Junghanns
- Márton Balassi
- Max Kuklinski
- Maximilian Michels
- Milosz Tanski
- Nagarjun
- Neelesh Srinivas Salian
- Neil Derraugh
- Nick Chadwick
- Nico Kruber
- Niels Basjes
- Pattarawat Chormai
- Piotr Godek
- Raghav
- Ramkrishna
- Robert Metzger
- Rohit Agarwal
- Roman Maier
- Sachin
- Sachin Goel
- Scott Kidder
- Shannon Carey
- Stefan Richter
- Steffen Hausmann
- Stephan Epping
- Stephan Ewen
- Sunny T
- Suri
- Theodore Vasiloudis
- Till Rohrmann
- Tony Wei
- Tzu-Li (Gordon) Tai
- Ufuk Celebi
- Vijay Srinivasaraghavan
- Vishnu Viswanath
- WangTaoTheTonic
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- Yassine Marzougui
- anton solovev
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BRAM STOKER'S DRACULA A film review by Lewis C. E. Butler Copyright 1992 Lewis C. E. Butler
In short: DRACULA, the newest offering from Francis Ford Coppola, is not all that it sets out to be. While reaching for greatness it fails to attain anything better than mediocrity. There are some wonderful performances on the part of Oldman and Hopkins, but overall, though enjoyable, it fails. (+1 of -4 to +4)
Francis Ford Coppola has once again taken on the task of making a movie from a classic book. Where before he created a remarkable film (APOCALYPSE NOW from HEART OF DARKNESS) this time he has not done quite so well. Bram Stoker's novel is a chilling Gothic horror, recommended reading for everyone. What Coppola has done is remove the element of horror from the story and transform it into a love story.
Strangely enough, in terms of plot, this version follows the book far closer than any Dracula movie I've seen. There are some remarkable inconsistencies, and the film feels as if it was not quite ready for release. The editing is choppy, there are incongruous scenes and scene changes, and the occasional voice over. These details add up to a fairly steady diet of distractions.
Oldman is a wonderfully powerful vampire. His performance manages to bring a certain sympathy, much as Karloff's Frankenstein's monster did. Dracula is not evil in this film, just misunderstood. Perhaps this film reflects our times in the belief that no one is evil, and no one beyond redemption. Interstingly enough, Oldman's undead Dracula seems to be most alive of all the main characters, with the possible exception of Hopkins' Van Helsing.
Winona Ryder is disappointing. Her performance is not poor, but it is uninspired. Though her character seems to be broiling in inner turmoil, we know of it only through her diary. The character of Lucy was far better drawn by Sadie Frost.
Keanu Reeves is just dreadful. He is completely dull, and seems to be walking through the role from start to finish. By far the worst performance in the movie. I am quite disappointed, as I like Reeves, but it is quite obvious that this role was far beyond his meager abilities.
Hopkins turns in an inspired performance as the good doctor, Van Helsing. He and Oldman make the film worth seeing. He manages to be humorous without quite crossing into something incongruous.
Tom Waits (the singer?) plays Renfield, and does an amazing job with him. It's a shame he wasn't cast as Jonathan Harker instead of Reeves; I'm quite sure he would have done a much better job.
The problem with Dracula isn't so much the actors though, it is that it does not quite work as a love story. Perhaps it is a failing on the part of Ms. Ryder, but I believe it was more a problem with the script. The effects are very good (especially the shadows, which never seem to be in sync with the Count) but still there is something missing. If Coppola wanted to make a love story, he should have taken a hint from the makers of GHOST and made us *believe*.
Still, with all its problems, Dracula does have something going for it. Coppola's hand is evident throughout, and Oldman's performance is compelling enough that I have no doubts the movie will be successful. Come Oscar time, though, and Oldman is the only one deserving of any recognition, though I wouldn't be surprised to see a nomination for Hopkins anyway. Of course I am not including the effects work, which certainly deserves some accolades. Oldman's makeup artists does some amazing things, but in terms of major recognition, Gary Oldman is the only actor who might deserve a nomination.
See it at a matinee for cheap.
--<EMAIL_ADDRESS>kreme@#22 (FV3 Net) [303/722-2009] Vox
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Related links: index of all rec.arts.movies.reviews reviews


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- Error message: The same message that the
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— layout: post title: “NanoMedicine” author_github: manojab date: 2018-12-22 image: ‘/assets/img/’ description: ‘’ tags:
How evolutionary is nanomedicine in therapeutics? Is it worth all the hype? Can we, as engineers, find opportunities in the field of nanomedicine? Well, I hope this article will answer many similar questions.
Let’s start with the understanding of how exactly is nanotechnology playing a noteworthy role in the field of medicine. From its very dawn, nanotechnology has indeed shaped the fundamental industrial applications such as manufacturing, biotechnology, semiconductors and fabrication of work area from micro to large- scale prospects. The impact of nanotechnology on the medical domain is well pronounced and the results can be pointed out at biosensors, nanosized microchips, modified liposomal action and mainly the ease brought in the fields of treatment and diagnosis of diseases.
If the goal of research on nanotechnology is just to make something nano, new, and more complicated, the goal is achieved as seen from the progress made in the last decade, at least in part. The ultimate goal of any research in drug delivery, however, must be to develop drug-delivery systems, nanoparticulate systems in this case, to prevent, to control, and to treat debilitating diseases. Most scientists working in the pharmaceutical and biotechnology sectors, as well as in academia, want to develop nanoparticle formulations that can deliver drugs more effectively to the target site for enhanced efficacy and reduced side effects.
Nanoparticles offer important multifunctional platforms for biomedical applications. Varieties of nanoparticles, such as silica nanoparticles, quantum dots, metal nanoparticles, and lanthanide nanoparticles, have unique properties which are adapted for different applications in the bio-analysis field. Nanoparticles not only ensure the drug delivery but also the confirmation of target site (commonly tumors). A new challenge of essentially tracking down the nanomedicine from systemic to subcellular level is posed which is swept off with the use of fluorescent markers, those being detectable during diagnostic assays.
Various examples in different forms include:
Fe3O4 nanocrystals on uniform dye-doped mesoporous silica nanoparticles to be used as a contrast agent in magnetic resonance imaging and loaded doxorubicin in the pores.
Histidine-tagged cyan fluorescent protein-capped magnetic mesoporous silica nanoparticles system was fabricated for drug delivery and fluorescent imaging.
Quantum dots are small-sized (1–10 nm) semiconductor nanocrystals composed of the inorganic elemental core (e.g., Cd and Se) surrounded by a metallic shell (ZnS). They are widely used in biological research and can also be used as drug carriers or simply as fluorescent labels for other drug carriers remain highlighted.
Other notable advancements include usage of iron oxide and gold nanoparticles due to the presence of surface plasmons which make the nanoparticles to absorb light in the visible region, making it possible to study their size-dependent light absorption through surface plasmon resonance (SPR). In terms of biocompatibility and non-cytotoxicity, gold nanoparticles as approved by the Food and Drug Administration(FDA) have distinct advantages over other metallic particles and could also be utilized as a favorable carrier for delivery of drugs. These nanoparticles can be conjugated with amino acid and proteins. Fabrication of gold nanoparticles and functionalization with organic molecules to interact with any physiological system are more important.  Reported application of gold nanoparticles includes insulin delivery by nasal route, improved antimicrobial action against E. coli strains and ciprofloxacin- protected nanoparticles for better drug release.
Yes, though nanobiotechnological advancements are a promising outcome, it is not all that it looks like. Nanotechnology fever was fueled by an observation of the behavior of nanoparticles in tumors in mice, known as the enhanced permeation and retention (EPR) effect. The EPR effect is considered to be responsible for increased delivery of nanoparticles to targeted tumors in mouse experiments. This notion evolved into an idea that only nanoparticles have the EPR effect. Careful analysis of the original data, however, indicates that albumin and IgG are actually better in accumulating at the tumor site.
The enhanced EPR effect of PEGylated nanoparticles was thought to be due to the increased circulation cycles. Thus, it has been widely assumed that PEGylated nanoparticles having the EPR effect will result in an enhanced tumor-killing effect, and therefore, the problem of targeted drug delivery to tumors was partially solved. The reality is that these assumptions have produced numerous research articles, but have made no significant advances in translation into patient treatment
Nanoparticle formulations, as compared with solution formulations, increase the drug concentration around a tumor by 100–400%. These increases are phenomenal by any measure. What is missing here, however, is the big picture showing the full story on drug delivery. It should be understood that >95% of the administered nanoparticles end up at sites other than the targeted tumor; this fact has been largely overlooked. Nanoparticles may provide an alternative way of making aqueous solution formulations for intravenous administration of poorly soluble drugs without using undesirable excipients. This is a great use of nanoparticle approaches. It is simply different than the widely believed notion that nanoparticles would be far superior to non-particulate solution formulations.
Nanoparticles are rapidly becoming the focus of most efforts aiming at targets and site-specific drug delivery. The targeting ability of nanoparticles depends on certain factors such as particle size, surface charge, surface modification and hydrophobicity. Still many problems related to selective binding, targeted delivery and toxicity need to be overcome. Limited knowledge about the toxicity of nanoparticles is a major concern and certainly deserves more attention. If these nanoparticles are cautiously designed to tackle problems related to target and route of administration, they may lead to a new more successful paradigm in the world of therapeutics and research. The most promising research in nanoparticle production is via using supercritical fluids which are environmentally friendly and free of toxic solvents. Much research is currently being performed to overcome these hurdles which will definitely establish nanoparticle-based drug delivery as the gold standard for site-specific therapeutics. Though ample optimizations are existing in the field nanotechnological research in the medical field is an evergreen opportunity.


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A better web.
Better for the environment.
At Google, we've worked hard to minimize the environmental impact of our services. In fact, when we provide an active user one month of Google services, we use less energy than driving a car one mile. If you add in our renewable energy and offsets, our footprint is zero. And we continue to find new ways to reduce our impact even further. Learn more about our efforts below.
By the numbers
Our carbon footprint & electricity consumption: 2014
The table above shows Google's carbon emissions for 2014. Our net carbon emissions were 0, which we achieved by minimizing our energy use through energy efficiency, reducing our Scope 2 emissions by purchasing renewable energy, and then offsetting any remaining emissions by purchasing high-quality carbon offsets. Our 2014 electricity consumption was 4,402,836 MWh, which included on-site generation. Carbon Intensity reflects how efficiently we use the carbon we emit. The drop from 2011 to 2012 highlights the impact that our long-term renewable energy contracts have on our carbon intensity—this is when we started incorporating renewable energy in our carbon intensity.
Verified by Cameron-Cole; Sources| Back to Menu | 1 | 2 |
A Google user
If you take an active Google user—someone who does 25 searches and watches 60 minutes of YouTube a day, has a Gmail account and uses our other services—Google emits about 8 grams of CO2 per day to serve that user. In other words, serving a Google user for a month is like driving a car one mile. And after we offset our footprint to zero, it's like not driving a car at all.
Sources| Back to Menu | 1 | 2 |


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Includes scanner.
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Inspiron 15 or Inspiron 17
http://www.dell.com/home/laptops
Upgrade memory to: 4 GB
Upgrade battery to: 9-cell lithium battery
For Inspiron 15, upgrade HD display to: 15.6" High Definition+ (1600x900) LED Display with TrueLife


Guide: Pokémon GO - Looming In The Shadows Walkthrough: Mysterious Components, Rocket Radar And Battling Giovanni
Quest Details for all Six Stages - New Special Research Drops as Team GO Rocket Invasion Intensifies
by Stephanie WoorThere’s never a dull moment in Pokémon GO. Squeezing itself in before Pokémon chatter turns to Sword and Shield’s release next week, and hot on the heels of the Halloween and ‘Colossal Discovery’ events, Niantic have put live another new event. This time, it’s the turn of the game’s Team GO Rocket battles to take centre stage – defeat grunts and track the leaders of this shadowy organisation with our guide to the new mechanics and the newly available special research quest ‘Looming in the Shadows’.
What’s Happening?
 Look out for the following:
- Team GO Rocket Grunts can now drop ‘Mysterious Components’ once defeated
- Collect 6 ‘Mysterious Components’ to create a ‘Rocket Radar’ that will locate one of the leaders of Team GO Rocket – Arlo, Cliff and Sierra
-
New Special Research available – ‘Looming in the Shadows’ (see our Walkthrough below)
- Follow the Special Research questline and you’ll receive a Super Rocket Radar capable of locating famed Pokémon evil team leader (and part-time Gym owner) Giovanni
-
Once Giovanni is defeated, you will have the opportunity to capture ‘a Legendary Shadow Pokémon’ - Articuno, Zapdos or Moltres, one per month
- To expand on the last point - Giovanni Special Research will apparently be a monthly event. November's research gets you Articuno
- The list of Shadow Pokémon that Team GO Rocket Grunts may hold has expanded (Sandshrew, Bellspout, Magnemite, Porygon and Wobbuffet)
- Increased spawns for Pokémon associated with Team Rocket (such as Ekans, Meowth and Koffing) as well as similar themed Raids will run until 1pm PST on Thursday November 1
This follows several weeks of teases from Niantic in which the game’s social channels and websites have featured story snippets involving Professor Willow and Team Leaders Blanche, Candela and Spark tracking down details of Team GO Rocket’s leadership. This culminated in the appearance of ‘mysterious component’ drops in a small number of cities (London in the UK, Atlanta, Austin and San Francisco in the US) on 6 November before a global rollout on 7 November.
What are Mysterious Components and How Do I Find Them?
Theorised by Professor Willow to be the devices that help Team GO Rocket grunts to take over PokéStops, these purple-screened ‘mysterious components’ can now be dropped by any grunts you fight at infected PokéStops – the darkened stops that shake as if ‘glitched out’ on the Pokémon GO map (find out more in our guide to infected PokéStops).
How to Find Team GO Rocket Leaders Using Rocket Radars
Collect six mysterious components, and you will be prompted to turn them into a ‘Mysterious Device’/Rocket Radar – a machine capable of locating a Team GO Rocket leader.
- Once constructed, the Rocket Radar will then be added to the upper right of your map screen (see left image above)
-
Tap the Rocket Radar icon and you will access a new new map view (middle image, above)
- On this new map view, you will be able to see Pokéstops occupied by a Team GO Rocket leader, indicated by a red ‘R’.
- This map lacks PokéStop/Gym icons or other landmarks - challenging you to work out the street layout for yourself
- On the normal game map, the PokéStop you're searching for will appear to be normal - when you walk close enough, the PokéStop will turn Black and the leader occupying the Pokéstop will appear (right image, above)
- In the event that there are no leaders near your current location, the game will prompt you to search elsewhere/at another time
Note that you can only hold one Rocket Radar at a time, and will not collect more Mysterious Components until you have beaten the leader. The radar is not consumed until this point - you are free to re-challenge the leader as many times as necessary, or indeed, go in search of another leader.
The Super Rocket Radar works on the same principles - however, the real Giovanni won't be found at every one of the radar locations detected (you will encounter a decoy grunt instead).
Team GO Rocket Leader Guide
Once you have located a Rocket Leader’s base, you will have the opportunity to battle them for some nice rewards. Battles play out similar to those for regular grunts, with the exception that the leaders will have Protect Shields at their disposal that they actually use – as with your own Protect Shields, you will do no damage to the leader when they use them.
Because of this, we recommend front-loading your team with a Pokémon that has a charged attack that is available relatively quickly.
Rewards
Beating any Team GO Rocket leader will reward you with the following:
- 1,000 Stardust
- An encounter with the leader’s Signature Shadow Pokémon (see trainer bios below) – this shadow Pokémon can be shiny
-
Any two of the following:
- Max Potion
- Max Revive
- Revive
- Sinnoh Stone
- Unova Stone
GO Rocket Leader Arlo
Arlo is an ambitious trainer and ex-member of Team Valor – once a close friend of Candela, he resented her elevation to leader of Team Valor and appears to have found the vehicle for his revenge in Giovanni’s Team GO Rocket.
Signature Pokémon: Scyther
Second Pokémon: Gyarados, Magnezone or Crobat
Third Pokémon: Charizard, Dragonite or Scizor
GO Rocket Leader Cliff
The first leader of Team GO Rocket that Professor Willow encountered, Cliff is a muscular, straightforward and intimidating trainer who professes great loyalty to Team GO Rocket and Giovanni.
Signature Pokémon: Meowth
Second Pokémon: Sandslash, Snorlax or Flygon
Third Pokémon: Tyranitar, Torterra or Infernape
GO Rocket Leader Sierra
A highly experienced trainer who refuses to suffer fools, the formidable Sierra clashed with Team Instinct leader Spark in the events recalled by Willow in his report.
Signature Pokémon: Sneasel
Second Pokémon: Hypno, Lapras or Sableye
Third Pokémon: Alakazam, Houndoom or Gardevoir
GO Rocket Boss Giovanni
The original evil team leader returns with a team that calls back to his original first generation appearance and the legendary Pokémon in that game - watch out for Pokémon stats with Combat Power even greater than the leaders he commands.
First Pokémon: Persian
Second Pokémon: Dugtrio, Rhydon or Hippowdon
Third Pokémon: Articuno (November)
How to Complete the Team GO Rocket Special Research Quest - ‘Looming in the Shadows’ Walkthrough
Step 1/6
| Quest | Reward |
| Spin 10 PokéStops | 500 XP |
| Defeat 3 Team GO Rocket Grunts | 500 XP |
| Catch 1 Shadow Pokémon | 500 XP |
| Rewards: 500 Stardust, 10x Poké Balls, 10x Razz Berries |
If you’ve been playing Pokémon GO at any point since July, there’ll be nothing to phase you in this step – just walk around for a bit, spin some PokéStops and look our for at least three darkened/glitched PokéStops. Once defeated, catch their Shadow Pokémon – easy stuff, but for a guide to the basics of beating Grunts at infected PokéStops in order to catch and purify Shadow Pokémon, click here.
Note that Step 2/6 involves purifying Shadow Pokémon – leave any you catch in step 1/6 unpurified until then.
Step 2/6
| Quest | Reward |
| Spin a PokéStop 5 days in a row | 750 XP |
| Purify 15 Shadow Pokémon | 750 XP |
| Win 5 raids | 750 XP |
| Rewards: 1,000 Stardust, 3x Super Potions, 3x Revives |
Step two ramps things up a tiny bit – you’ll need to play for five days in a row, spinning a PokéStop each day. You’ll also have to win 5 raids (any level) and purify 15 shadow Pokémon – which means finding 15 infected PokéStops, assuming you don’t already have unpurified shadow Pokémon in your collection.
Step 3/6
| Quest | Reward |
| Use 6 super-effective Charged Attacks in Gym battles | 1,000 XP |
| Win 3 Great League Trainer Battles against another Trainer | 1,000 XP |
| Defeat 6 Team GO Rocket Grunts | 1,000 XP |
| Rewards: 1,500 Stardust, 15x Great Balls, 5x Pinap Berries |
Step 3 of the quest gets you ready for the leader battles ahead. It'll remind you that you have to defeat six grunts and receive six mysterious components to build a rocket radar. It'll also reinforce the importance of building a balanced team and using super-effective charged attacks with its PVP and gym battle requirements.
Step 4/6
| Quest | Reward |
| Defeat Team GO Rocket Leader Arlo | 1,250 XP (Shadow Scyther Capture Chance) |
| Defeat Team GO Rocket Leader Cliff | 1,250 XP (Shadow Meowth Capture Chance) |
| Defeat Team GO Rocket Leader Sierra | 1,250 XP (Shadow Sneasel Capture Chance) |
| Rewards: 2,000 Stardust, 1x Super Rocket Radar, 3x Golden Razz Berries |
It's now officially time to go after the Team GO Rocket leaders - though considering you will have had to play at least five days worth of Pokémon GO before this point, you may have already encountered one or more already. You'll of course need to collect 18 mysterious components and build three rocket radars (though you won't start collecting components again until after each leader win). See 'How to Find Team GO Rocket Leaders Using Rocket Radars' above.
Note that the shadow Pokémon capture chances occur via the process of fighting and defeating each leader, rather than being awarded via the special research menu (so it is completely possible to fail to capture the Pokémon).
A word of caution: Because Special Research quests are not awarded retroactively (except for one-and-done things such as Pokédex progress), leaders you manage to fight when working on earlier steps will not be counted in this step. Players reading ahead may want to leave fighting the leaders until they get to this point - though the process of gathering six components isn't especially difficult.
Step 5/6
| Quest | Reward |
| Find the Team GO Rocket Boss | 2,500 Stardust |
| Battle the Team GO Rocket Boss | 1,500 XP |
| Defeat the Team GO Rocket Boss | 3x Silver Pinap Berries (Shadow Articuno Capture Chance) |
| Rewards: 3,000 Stardust, 1x Fast TM, 1x Charge TM |
The Super Rocket Radar you earn in Step 4/6 allows you to locate Giovanni - however, a number of PokéStops in your area will actually be manned by decoy Grunts - you'll have to try a few different Stops to find your man.
As above, the shadow legendary bird capture chances are in the process of fighting the Team GO Rocket Boss (Giovanni), rather than a reward in the special research menu.
Step 6/6
| Quest | Reward |
| Auto-completed quest | 2,000 XP |
| Auto-completed quest | 2,000 XP |
| Auto-completed quest | 2,000 XP |
| Rewards: 3x Max Revives, 20x Ultra Ball, 3x Rare Candy |
The hard work is already done at this point - provided you have enough strength left to tap and collect the rewards, you won't need any further assistance here!


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7 Amazing Facts About Jaguars, One of the World's Coolest Cats 19 Nov 2019, 23:04 by Popular Mechanics The big cats are among the fiercest apex predators in the world. From Popular Mechanics


Italy is an excellent country to visit. This time it was a short trip in the Northen Italy including Venice, Bologna, Imola and San-Marino. Everything is great about this country, except a few things.
I really enjoy italian cuisine. Usually it is very simple, fresh and maybe even healthy if you eat it with moderation (I don’t think pizza every day would be good for you). But the great cusine always come with strict eating rules.
When my italian friend invited everyone for the breakfast I definetly could not imagine going to a coffee bar or a pasticceria bar (cake shop). But it turns out that in Italy for the breakfast you usually drink an espresso or cappuccino and optionally you can get a brioche or another sweet thing. If you are not in the place with lots of tourists it would be very hard to get a burger for the breakfast.
The next shocking event happened during the lunch. It was probably equally shocking for both locals and us. Try to order cappuccino after your lunch. You might even get it, but people around would not approve it. Apparently you allowed to drink cappuccino only for breakfast. After the lunch you can get either espresso or espresso macchiato (which is just a small cappuccino if you ask me).
As a russian I like to have a hot drink with my dessert. But Italians have another eating rule which does not allow me to do it. No coffee or tea with dessert, only after.
After dinner we had some pizza left and got a box to go for it. I can eat cold pizza even for a breakfast. The italian friend said that he would not eat it the next day because it would not be fresh enough.
Of course you can break all these rules as a tourist. But if you ever consider to live in Italy then you better learn how to eat.
Since I live in the Netherlands I always compare different countries against it. Some people might say that cuisine in the Netherlands is almost non-existent. But at least here you have no rules: you can eat what you like and when you like. Try to find a place to eat in Italy between 4pm and 7pm.


| C | ::= | ...as before... |
| | | central |
| C | M : T in val | |
| C | M : T in central |
| C | D : C' in val | |
| C | D : C' in central |
The equations for central are the same as those for val, except that the following are not valid:
| D (fn C P {M}) | = | fn C P {D M} | (bv D bv P = Ø) |
| D (M1,...,Mn) | = | (D M1,...,D Mn) |
We can construct the category central as for val. Because there are fewer axioms for central than for val, central is not a cartesian closed category. It is, however, symmetric monoidal, and has closed structure given by an adjunction (natural in X and Z):
The graphical presentation of central is the same as for val, except that we lose some of the axioms on graphs. The symmetric monoidal axioms are still true, hence any graph isomorphic terms are still equal. We also still have beta- and eta-convertability.
There is no natural diagonal:
nor a natural terminal:
Currying is not natural wrt central morphisms:
Currying is natural wrt val morphisms:


Hi all,
I saw on Twitter that the project was having trouble with bandwidth on Dropbox due to the popularity of the RaspPi EmonCMS image, and I wondered if torrents might help?
Glyn suggested I posted here, as he himself wasn't overly familiar with torrent server setup, so here's a quick torrent 101 to start a discussion :)
- Torrents are a useful way of distributing large files (such as disk images)
- Everyone involved in a torrent swaps pieces of the file with others, everyone uploads as they download
- The group of peers uploading and downloading the pieces of a torrent are referred to as a swarm
- The larger the swarm, the more reliable (and faster) the download for everyone
- The general idea is that the load and reliance on a single central server is removed
The person who wants to share an image makes a small info file (a .torrent file) which can be shared on their website. Usually, they would also run a torrent client *somewhere* which was sharing this torrent and had a full copy of the image to be shared; this is the initial seed server. Initially, everyone else joining the swarm would find only the initial seed server had the pieces they wanted, but over time, copies would spread over the swarm and the demand on the initial seed server would fall.
An additional trick which could be used here would be to use Dropbox as the initial seed server. This would mean when the number of swarm members was low, it would pretty much end up being a HTTP download again. But when demand was high, bandwidth draw on Dropbox would go right down. If people are willing to leave their torrent clients running after their download completes, then this will continue to benefit others in the swarm, and also keep the Dropbox load down. The image file hosted on Dropbox in this scenario is not special in anyway, it's the same file as used for a normal HTTP download.
Here's a link from a quick search on Dropbox and torrents:
https://sites.google.com/site/torrenttricks/use-dropbox-as-a-free-websee...
I can't think of any reason why Dropbox would object to being used in this way, it saves them bandwidth after all, but it would be worth checking their T&Cs.
One final thing. For peers in the swarm to find one another they need to exchange IPs. Usually, this is done by using a 'tracker server', which is a central server where where swarm members can advertise their existence and discover others. A tracker server hosts no content itself and so its bandwidth requirements are typically low. It is also possible to make a tracker-less torrent, but their effectiveness varies and I wouldn't recommend relying on them exclusively for this project.
I hope maybe this can help with the bandwidth issues. Please let me know if you have any questions or if I can be of help in setting this up should you wish to try it.
Cheers,
Mark
Re: emoncms RaspPi image torrent
Great idea, I have considered it before, but have never created a .torrent previously neither had time to further explore it.
Re: emoncms RaspPi image torrent
Hi all,
Firstly, thanks to Trystan, Glyn and everyone else who's contributed to OEM - this really is a great project!
In an effort to contribute I've created a torrent of the 2013-04-19 R-Pi .img file, the .torrent file is attached to this post in a .zip file and also available as a .torrent from:
http://torcache.net/torrent/AED670234438B2DDB7FC4842F429041F31696693.tor...
I squashed the .img with 7-zip, this has made the filesize 727MB (vs 1.1GB for the .zip).
Free 7-zip unpackers are available at:
Win: http://www.7-zip.org/
Mac: http://www.kekaosx.com/en/
Linux: http://sourceforge.net/projects/p7zip/
If you need help downloading this torrent then post back here or have a look at one of the many available guides, eg: http://www.utorrent.com/help/guides/beginners-guide/
Looks like it will take about 3 hours for the initial seeding to finish, so don't expect it to download quickly until about 6pm today (UK time).
Cheers, Jonathan.
Re: emoncms RaspPi image torrent
Great stuff thanks! Seeding now :)
I'd been pondering trying to setup a tracker for this... Do you think it would help or do you think DHT/tracker-less will suffice?
Cheers,
Mark
Re: emoncms RaspPi image torrent
I have downloaded and am seeding, but on boot I get a message starting there's been a problem mounting the file system. I have left it seasoning incase it is just my card/pi.
Attached is a photo of the boot.
Any help would be great
Jimmy
Re: emoncms RaspPi image torrent
@Mark
The .torrent is already being tracked at:
udp://tracker.openbittorrent.com:80/announce
udp://tracker.publicbt.com:80/announce
You're welcome to setup or add it to an existing HTTP tracker (to support older tracker clients) but I'm not sure if it's that necessary.
Cheers, Jonathan.
Re: emoncms RaspPi image torrent
@Jimmy
You can't just copy the file onto an SD card, you need to extract the .img from the 7zip file (using one of the tools listed above), then transfer the .img onto the SD card using a tool like win32diskimager.
There are some Linux instructions here.
Cheers, Jonathan.
Re: emoncms RaspPi image torrent
lol
I got that bit copied over fine, I used dd in ubuntu and it copied at 2Mb/s (log time) and died.
Personally, not sure if it was my copy, as I have used the one from dropbox 2 and this worked fine, but copied over using win32diskimager . Need to get a card reader that supports SDHC cards at a reasonable speed, as the things I have are USB 1.1 lol
Cheers though, I have re downloaded and seeding again.
Jimmy


--- title: Grain Boundary Smoothing sidebar: documentation_sidebar permalink: GrainSmoothing.html folder: documentation toc: false ---
EBSD data is usually acquired on a regular grid. Hence, even over a finite number of grid points, all possible grain boundary directions can not be uniquely represented. One way of overcoming this problem - and also allowing to compute grid-independent curvatures and grain boundary directions - is the interpolation of grain boundary coordinates using grains.smooth
.

While we used grains.smooth
before, here we will illustrate the different options.
With the default parameters we have the following result
{% highlight matlab %} % smooth the grains with default paramters grains_smooth = smooth(grains); hold on plot(grains_smooth.boundary('indexed'),'linewidth',2) hold off {% endhighlight %}The grain boundary boundaries look noew a little bit more smooth and the total grain boundary length is reasonable reduced.
{% highlight matlab %} sum(grains.boundary('indexed').segLength) sum(grains_smooth.boundary('indexed').segLength) {% endhighlight %} {% highlight plaintext %} ans = 1.9639e+04 ans = 1.7416e+04 {% endhighlight %}However, if we look at the frequnecy distribution of grain boundary segments, we find that some angle are over-represented which is due to the fact that without any additional input argument, grains.smooth
performs just a single iteration
If we specify a larger number of iterations, we can see that the scatting around 0 and 90 degree decreases.
{% highlight matlab %} iter = [1 5 10 25]; color = copper(length(iter)+1); plot(grains.boundary,'linewidth',1,'linecolor','Fuchsia') d={}; for i = 1:length(iter) grains_smooth = smooth(grains,iter(i)); hold on plot(grains_smooth.boundary('i','i'),'linewidth',2,'linecolor',color(i,:)) d{i} = grains_smooth.boundary('i','i').direction; end hold off axis([313 353 140 156]) {% endhighlight %}We can compare the histogram of the grain boundary directions of the entire map.
{% highlight matlab %} figure for i=1:length(d) subplot(2,2,i) histogram(d{i}, 'weights',norm(d{i}),180) end {% endhighlight %}Note that we are still stuck with many segments at 0 and 90 degree positions which is due to the boundaries in question being too short for the sample size to deviate from the grid.
grains.smooth
usually keeps the triple junction positions locked. However, sometimes it is necessary (todo) to allow triple junctions to move.
Comparing the grain boundary direction histograms shows that we suppressed the gridding effect even a little more.
{% highlight matlab %} figure for i=1:length(d) subplot(2,2,i) histogram(d{i}, 'weights',norm(d{i}),180) end {% endhighlight %}Be careful since this allows small grains to shrink with increasing number of smoothing iterations
Todo: different smoothing algorithms and 2nd order


{% extends 'base.html' %} {% load crispy_forms_tags %} {% block title %} Create Account - {{ block.super }} {% endblock title %} {% block content %}
By signing up, you agree to our Terms of Service and Privacy Policy, which we may update from time to time. We’ll occasionally send you account-related emails.
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Unable to display the specified group either because it does not exist, or because you are not the owner.


--- layout: default ---
News & updates about life events.
{% elsif page.title == 'essay' %}Essays on specific topics that interest me personally & professionally.
{% elsif page.title == 'talks' %}Presentations & Talks given for work.
{% elsif page.title == 'camping' %}Camping trips in Cascadia and beyond. Learn more in the wiki.
{% elsif page.title == 'foraging' %} {% elsif page.title == 'hiking' %} {% elsif page.title == 'travelogue' %}Small & big trips in America and across the world.
{% elsif page.title == 'changelog' %}A record of changes to this website.
{% else %}Some blog posts.
{% endif %}


Preparation time
over 2 hours
Cooking time
no cooking required
Serves
Serves 6
Dietary
This refreshing super-smooth sorbet makes great use of all the wonderful summer fruits that are now in abundance.
Place the fruit, orange rind and juice, liqueur and 175ml water in a food processor and blend until smooth. I like to leave to seeds in but you can sieve your mixture if you prefer.
If you have an ice cream machine, churn the mixture until it starts to freeze, alternatively pour into a rigid container and freeze, stirring every 30 minutes or so until ice crystals start to form and it feels slushy.
Whisk the egg whites until stiff then gradually add the sugar beating until firm and glossy. Fold the meringue into the freezing fruit mixture and continue to freeze and stir until completely frozen. If making in advance, transfer the mixture to the fridge 30 minutes before serving.


Node’s constants
module for the browser.
To use with browserify cli:
bash
$ browserify -r constants:constants-browserify script.js
To use with browserify api:
js
browserify()
.require('constants-browserify', { expose: 'constants' })
.add(__dirname + '/script.js')
.bundle()
// ...
With npm do
bash
$ npm install constants-browserify
Copyright (c) 2013 Julian Gruber
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.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS 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.


Percentile dice, or d100, work a little differently than normal dice. You generate a number between 1 and 100 by rolling two different ten-sided dice numbered from 0 to 9.  Two 0s represent 100.


 The light struck Melanie's lids again, but she could not open her eyes and meet Adelaide's, who had unlocked the door to the hall and called, “Lizzie! The lavender shovel!”
There was a moment's waiting, and then Lizzie's heavy steps came up the stone stairs, along the passage and into the room. Now curiosity forced open Melanie's eyes, and she saw Lizzie come past her couch, holding at arm's length a black kitchen-shovel on which burned red embers.
 Lizzie held out the shovel to her, and on the embers Adelaide dripped liquid from the bottle. There was a sizzling, and smoke rose from the shovel, heavy with the smell of lavender. Adelaide recorked the bottle, and replaced it behind the jar containing the bulrushes, while Lizzie walked about the room, holding the shovel before her, waving it slowly from side to side.
The embers were nearly grey when she again passed by the couch on her way out of the room.
from Marghanita Laski, The Victorian Chaise-Longue (1953)
I want a lavender shovel. A lavender shoveller would be handy too.


This site provides information on the development of digital infrastruce in three countries namely: Ghana, Mauritius and United Kingdom. This site uses information from the World Bank Data Catalogue to provide statistics on the population, financial data,internet penetration, number of mobile users, and number of secure servers. The information is displyed using various graph and charts for easy understanding and interpretation.
Designed By Immanuel © 2019. All rights reserved.


A B C D E F G H I L M N O P R S T U W X Y
All Classes All Packages
All Classes All Packages
All Classes All Packages
A
- advanceLeg() - Method in class com.dragonboat.game.DragonBoatGame
-
Changes the screen to a new GameScreen and resets necessary attributes.
- AdvanceTextureFrame() - Method in class com.dragonboat.game.Boat
-
Keeps track of which frame of the animation the boat's texture is on, and sets the texture accordingly.
- ai(int) - Method in class com.dragonboat.game.Opponent
-
Controls the AI behaviour of the boat.
- allFinished(int) - Method in class com.dragonboat.game.ProgressBar
-
Returns true if all boats have finished.
- ApplyDamage(int) - Method in class com.dragonboat.game.Boat
-
Decreases the durability of the boat by the obstacle damage divided by the boat's robustness.
- applyPenalty(float) - Method in class com.dragonboat.game.Boat
B
- Boat - Class in com.dragonboat.game
-
Represents a Boat, controlled by either a Player or Opponent.
- Boat(float, int, int, Lane, String) - Constructor for class com.dragonboat.game.Boat
-
Creates a Boat instance in a specified Lane.
C
- changeDirection() - Method in class com.dragonboat.game.Goose
-
Changes the direction of the Goose to an appropriate, random cardinal direction.
- CheckCollisions(int) - Method in class com.dragonboat.game.Boat
-
Checks each obstacle in the Lane for a collision.
- CheckIfInLane() - Method in class com.dragonboat.game.Boat
-
Checks if the boat is between the left boundary and the right boundary of the Lane.
- ChooseBoat(int) - Method in class com.dragonboat.game.Player
-
Assigns the selected boat template to the boat.
- com.dragonboat.game - package com.dragonboat.game
- course - Variable in class com.dragonboat.game.DragonBoatGame
- Course - Class in com.dragonboat.game
-
Represents the race course.
- Course(Texture, Lane[]) - Constructor for class com.dragonboat.game.Course
-
Creates a course instance for all the boats.
- create() - Method in class com.dragonboat.game.DragonBoatGame
-
Sets up the game with settings and instantiation of objects.
D
- DecreaseSpeed() - Method in class com.dragonboat.game.Boat
-
Decreases the speed of the boat by 0.015 if the resulting speed is greater than 0.
- DecreaseTiredness() - Method in class com.dragonboat.game.Boat
-
Decreases the tiredness of the boat by 1 if the tiredness is greater than 0.
- difficulty - Variable in class com.dragonboat.game.DragonBoatGame
- direction - Variable in class com.dragonboat.game.Goose
- dispose() - Method in class com.dragonboat.game.DragonBoatGame
-
Disposes of the current screen when it's no longer needed.
- dispose() - Method in class com.dragonboat.game.GameScreen
-
Disposes of the screen when it is no longer needed.
- dispose() - Method in class com.dragonboat.game.MenuScreen
-
Disposes of the screen when it is no longer needed.
- DragonBoatGame - Class in com.dragonboat.game
-
Game Class for Dragon Boat Game.
- DragonBoatGame() - Constructor for class com.dragonboat.game.DragonBoatGame
E
- ended - Variable in class com.dragonboat.game.DragonBoatGame
- endGame() - Method in class com.dragonboat.game.DragonBoatGame
F
- finished() - Method in class com.dragonboat.game.Boat
- finishY - Variable in class com.dragonboat.game.Course
G
- GameScreen - Class in com.dragonboat.game
-
Main Game Screen class for Dragon Boat Game.
- GameScreen(DragonBoatGame) - Constructor for class com.dragonboat.game.GameScreen
-
Sets up everything needed for a race to take place.
- GenerateTextureFrames(char) - Method in class com.dragonboat.game.Boat
-
Generates all frames for animating the boat.
- generator - Variable in class com.dragonboat.game.DragonBoatGame
- getAcceleration() - Method in class com.dragonboat.game.Boat
- getCurrentSpeed() - Method in class com.dragonboat.game.Boat
- getDamage() - Method in class com.dragonboat.game.Obstacle
- getDurability() - Method in class com.dragonboat.game.Boat
- getFastestTime() - Method in class com.dragonboat.game.Boat
- getFinalists(int) - Method in class com.dragonboat.game.Leaderboard
-
Gets top boats, in order of fastest race time.
- getHeight() - Method in class com.dragonboat.game.Boat
- getHeight() - Method in class com.dragonboat.game.Obstacle
- GetInput() - Method in class com.dragonboat.game.Player
-
Moves the player based on key pressed (W, A, S, D).
- getLeftBoundary() - Method in class com.dragonboat.game.Lane
- getManeuverability() - Method in class com.dragonboat.game.Boat
- getMaxSpeed() - Method in class com.dragonboat.game.Boat
- getName() - Method in class com.dragonboat.game.Boat
- getNoLanes() - Method in class com.dragonboat.game.Course
- getOpponentIcon() - Method in class com.dragonboat.game.ProgressBar
-
Gets the opponent icon texture.
- getPenalty() - Method in class com.dragonboat.game.Boat
- getPlayerIcon() - Method in class com.dragonboat.game.ProgressBar
-
Gets the player icon texture.
- getPlayerTime() - Method in class com.dragonboat.game.ProgressBar
-
Gets the time elapsed for the player in the current race.
- getPlayerTimeString() - Method in class com.dragonboat.game.ProgressBar
-
Gets the time elapsed for the player in the current race and total penalty time.
- getPodium() - Method in class com.dragonboat.game.Leaderboard
-
Gets the top 3 boats, in order of fastest times.
- getProgress(int) - Method in class com.dragonboat.game.Boat
- getProgress(int) - Method in class com.dragonboat.game.ProgressBar
-
Gets the progress of all boats.
- getRightBoundary() - Method in class com.dragonboat.game.Lane
- getRobustness() - Method in class com.dragonboat.game.Boat
- getTexture() - Method in class com.dragonboat.game.Course
- getTexture() - Method in class com.dragonboat.game.Leaderboard
-
Gets the leaderboard texture.
- getTexture() - Method in class com.dragonboat.game.Obstacle
- getTexture() - Method in class com.dragonboat.game.ProgressBar
-
Gets the progress bar texture.
- getTime() - Method in class com.dragonboat.game.ProgressBar
-
Gets the time passed for the current race.
- getTimes(int) - Method in class com.dragonboat.game.Leaderboard
-
Gets the names of the boats and their fastest times, in order of fastest time.
- getTiredness() - Method in class com.dragonboat.game.Boat
- getX() - Method in class com.dragonboat.game.Boat
- getX() - Method in class com.dragonboat.game.Obstacle
- getY() - Method in class com.dragonboat.game.Boat
- getY() - Method in class com.dragonboat.game.Obstacle
- givenLane - Variable in class com.dragonboat.game.Goose
- Goose - Class in com.dragonboat.game
-
Represents a goose obstacle on the course.
- Goose(int, int, Texture, Lane) - Constructor for class com.dragonboat.game.Goose
-
Creates a goose instance.
H
- height - Variable in class com.dragonboat.game.Boat
- height - Variable in class com.dragonboat.game.Obstacle
- hide() - Method in class com.dragonboat.game.GameScreen
- hide() - Method in class com.dragonboat.game.MenuScreen
I
- IncreaseSpeed() - Method in class com.dragonboat.game.Boat
-
If the boat has enough stamina, increase the speed of the boat by the boat's acceleration, if not, do nothing.
- IncreaseTiredness() - Method in class com.dragonboat.game.Boat
-
Increases the tiredness of the boat by 0.75 if the tiredness is less than 100.
- IncrementTimer(float) - Method in class com.dragonboat.game.ProgressBar
-
Increments the timer by the time passed.
L
- lane - Variable in class com.dragonboat.game.Boat
- Lane - Class in com.dragonboat.game
-
Represents a lane on the course.
- Lane(int, int) - Constructor for class com.dragonboat.game.Lane
-
Creates a lane instance.
- Lane(int, int, int) - Constructor for class com.dragonboat.game.Lane
-
Creates a lane instance.
- lanes - Variable in class com.dragonboat.game.Course
- lanes - Variable in class com.dragonboat.game.DragonBoatGame
- leaderboard - Variable in class com.dragonboat.game.DragonBoatGame
- Leaderboard - Class in com.dragonboat.game
-
Represents a leaderboard for after each race.
- Leaderboard(Player, Opponent[]) - Constructor for class com.dragonboat.game.Leaderboard
-
Creates a leaderboard with an array of all boats.
- leftBoundary - Variable in class com.dragonboat.game.Course
- Log - Class in com.dragonboat.game
-
Represents a log obstacle on the course.
- Log(int, int, Texture) - Constructor for class com.dragonboat.game.Log
-
Creates a log instance.
M
- MenuScreen - Class in com.dragonboat.game
-
Screen class for the Menu Screen.
- MenuScreen(DragonBoatGame) - Constructor for class com.dragonboat.game.MenuScreen
-
Creates an Input Processor to listen for a mouse click within set boundaries.
- Move(float, int) - Method in class com.dragonboat.game.Goose
-
Moves the goose.
- Move(float, int) - Method in class com.dragonboat.game.Obstacle
-
Moves the obstacle.
- MoveForward() - Method in class com.dragonboat.game.Boat
-
Increases the y-position of the boat respective to the boat's speed, and decreases the speed by 0.08%.
- music - Variable in class com.dragonboat.game.DragonBoatGame
N
- noOfObstacles - Variable in class com.dragonboat.game.DragonBoatGame
O
- Obstacle - Class in com.dragonboat.game
-
Represents an obstacle on the course.
- Obstacle(int, int, int, int, int, Texture) - Constructor for class com.dragonboat.game.Obstacle
-
Creates an obstacle instance.
- obstacles - Variable in class com.dragonboat.game.Lane
- obstacleTimes - Variable in class com.dragonboat.game.DragonBoatGame
- Opponent - Class in com.dragonboat.game
-
Represents a opponent boat with AI.
- Opponent(int, int, int, Lane, String) - Constructor for class com.dragonboat.game.Opponent
-
Creates a opponent instance.
- opponentIcon - Variable in class com.dragonboat.game.ProgressBar
- opponents - Variable in class com.dragonboat.game.DragonBoatGame
P
- parameter - Variable in class com.dragonboat.game.DragonBoatGame
- pause() - Method in class com.dragonboat.game.GameScreen
- pause() - Method in class com.dragonboat.game.MenuScreen
- penalties - Variable in class com.dragonboat.game.Boat
- player - Variable in class com.dragonboat.game.DragonBoatGame
- Player - Class in com.dragonboat.game
-
Represents the player's boat.
- Player(int, int, int, Lane, String) - Constructor for class com.dragonboat.game.Player
-
Creates an instance of the player boat.
- playerChoice - Variable in class com.dragonboat.game.DragonBoatGame
- playerIcon - Variable in class com.dragonboat.game.ProgressBar
- progressBar - Variable in class com.dragonboat.game.DragonBoatGame
- ProgressBar - Class in com.dragonboat.game
-
Represents a progress bar.
- ProgressBar(Player, Opponent[]) - Constructor for class com.dragonboat.game.ProgressBar
-
Creates a progress bar that tracks the player and opponent boats progress along the course.
R
- RemoveObstacle(Obstacle) - Method in class com.dragonboat.game.Lane
-
Removes obstacle from obstacle list.
- render() - Method in class com.dragonboat.game.DragonBoatGame
- render(float) - Method in class com.dragonboat.game.GameScreen
-
Rendering function for the game loop, handling all game logic and displaying graphics.
- render(float) - Method in class com.dragonboat.game.MenuScreen
-
Rendering function for the menu screen.
- Reset() - Method in class com.dragonboat.game.Boat
-
Resets necessary stats for the next race.
- ResetFastestLegTime() - Method in class com.dragonboat.game.Boat
-
Resets the boat's fastest leg time.
- resize(int, int) - Method in class com.dragonboat.game.DragonBoatGame
-
Resizes the game screen.
- resize(int, int) - Method in class com.dragonboat.game.GameScreen
-
Resizes the game screen.
- resize(int, int) - Method in class com.dragonboat.game.MenuScreen
- resume() - Method in class com.dragonboat.game.GameScreen
- resume() - Method in class com.dragonboat.game.MenuScreen
- rightBoundary - Variable in class com.dragonboat.game.Course
S
- setFinished(boolean) - Method in class com.dragonboat.game.Boat
- setLane(Lane) - Method in class com.dragonboat.game.Boat
- SetRandomBoat(ArrayList<Integer>) - Method in class com.dragonboat.game.Opponent
-
Assigns a random boat template to the boat.
- setStats(char) - Method in class com.dragonboat.game.Boat
-
Interpolates predetermined stats from a boat label, and sets the stats based on those.
- setStats(int, int, float, float) - Method in class com.dragonboat.game.Boat
-
Implicitly sets the stats of the boat, given each attribute.
- setTexture(Texture) - Method in class com.dragonboat.game.Boat
- setTextureFrames(Texture[]) - Method in class com.dragonboat.game.Boat
- setX(float) - Method in class com.dragonboat.game.Obstacle
- setY(float) - Method in class com.dragonboat.game.Obstacle
- show() - Method in class com.dragonboat.game.GameScreen
- show() - Method in class com.dragonboat.game.MenuScreen
- SpawnObstacle(int, int, String) - Method in class com.dragonboat.game.Lane
-
Spawns obstacle in the lane.
- StartTimer() - Method in class com.dragonboat.game.ProgressBar
-
Resets the timer to zero.
- startY - Variable in class com.dragonboat.game.Course
- steering - Variable in class com.dragonboat.game.Opponent
- SteerLeft() - Method in class com.dragonboat.game.Boat
-
Decreases the x-position of the boat respective to the boat's maneuverability and speed, and decreases the speed by 3%.
- SteerRight() - Method in class com.dragonboat.game.Boat
-
Increases the x-position of the boat respective to the boat's maneuverability and speed, and decreases the speed by 3%.
T
- texture - Variable in class com.dragonboat.game.Boat
- texture - Variable in class com.dragonboat.game.Course
- texture - Variable in class com.dragonboat.game.Obstacle
- texture - Variable in class com.dragonboat.game.ProgressBar
U
- UpdateFastestTime(float) - Method in class com.dragonboat.game.Boat
-
Updates the boat's fastest time.
- UpdateOrder() - Method in class com.dragonboat.game.Leaderboard
-
Sorts the array of boats by fastest race time, increasing.
W
- width - Variable in class com.dragonboat.game.Boat
- width - Variable in class com.dragonboat.game.Obstacle
X
- xPosition - Variable in class com.dragonboat.game.Boat
- xPosition - Variable in class com.dragonboat.game.Obstacle
Y
- yPosition - Variable in class com.dragonboat.game.Boat
- yPosition - Variable in class com.dragonboat.game.Obstacle
All Classes All Packages


Classes
The following classes are available globally.
-
Range slider track layer. Responsible for drawing the horizontal track
See moreDeclaration
Swift
open class RangeSliderTrackLayer: CALayer
-
the thumb for upper , lower bounds
See moreDeclaration
Swift
open class RangeSliderThumbLayer: CALayer
-
Range slider view with upper, lower bounds
See moreDeclaration
Swift
open class ViRangeSlider: UIControl
-
image view with a custom action button at the top right corner Note: the action button is currently not in used. It has been moved to the corner of the product card instead
See moreDeclaration
Swift
open class ViImageView: UIView
-
fetch single image from photo library for cropping
See moreDeclaration
Swift
public class SingleImageFetcher
-
Theme for ViSenze widgets quick and easy way to configure various UI settings such as font/color in all the widgets
See moreDeclaration
Swift
public class ViTheme: NSObject
-
listen for events when user click on volume buttons used for taking photos with volume buttons
Declaration
Swift
public class VolumeControl
-
present search results in either horizontal scrollview or vertical grid The layout is vertical and as follow: headerView - collectionView - footerView headerView generally contains the widget title such as
See moreYou May Also Like
footerView generally contains the Power by Visenze imageDeclaration
Swift
open class ViSearchResultsView: UIView
-
Display the search results in a horizontal scroll view This is used currently by
See moreYou May Also Like
widget i.e. ViRecommendationViewControllerDeclaration
Swift
open class ViHorizontalSearchViewController: ViBaseSearchViewController
-
For user to confirm whether to keep image after taking photo from camera, select image from photo library optional to crop photo here
See moreDeclaration
Swift
public class ConfirmViewController: UIViewController, UIScrollViewDelegate
-
Layout for a single product card The layout is dynamic depending on various configurations e.g. label/action button can be optional
See moreDeclaration
Swift
open class ViProductCardLayout: StackLayout<UIView>
-
Search by Image widget. Search results will be displayed in a grid.
See moreDeclaration
Swift
open class ViSearchImageViewController: ViGridSearchViewController
-
simplify construction of product card layout with builder pattern Not in used currently
See moreDeclaration
Swift
open class ViProductCardLayoutBuilder: NSObject
-
Base controller for all search widgets
See moreDeclaration
Swift
open class ViBaseSearchViewController: UIViewController , UICollectionViewDataSource, UICollectionViewDelegateFlowLayout, ViSearchViewControllerProtocol, ViProductCellDelegate
-
Base/abstract class for a filter item that will appear in the filter bar This is not meant to be used directly. Should only instantiate the sub classes
See moreDeclaration
Swift
open class ViFilterItem: NSObject
-
Filter category option similar to
See moreDeclaration
Swift
open class ViFilterItemCategoryOption : NSObject
-
The multiple selection category filter
See moreDeclaration
Swift
open class ViFilterItemCategory : ViFilterItem
-
Range filter e.g. for filtering price range
See moreDeclaration
Swift
open class ViFilterItemRange : ViFilterItem
-
store constants used for camera functions
See moreDeclaration
Swift
public class CameraGlobals
-
Model to hold data for product card Based on the provided schema mapping and ViSenze API response, data will be populated in this class Represent a single product
See moreDeclaration
Swift
open class ViProduct: NSObject
-
Search by Color widget. Search results will be displayed in a grid
See moreDeclaration
Swift
open class ViColorSearchViewController: ViGridSearchViewController , UIPopoverPresentationControllerDelegate, ViColorPickerDelegate
-
Open camera to take photo. This view controller will include user guide info button, flash button and reverse camera button
See moreDeclaration
Swift
public class CameraViewController: UIViewController, UIPopoverPresentationControllerDelegate
-
Custom view which include a tableView + power by Visenze image and OK button at the footer
See moreDeclaration
Swift
open class ViFilterTableView: UIView
-
Display search results in a grid This is the base class for
See moreFind Similar
,Search By Color
,Search By Image
widgets (ViFindSimilarViewController, ViColorSearchViewController, ViSearchImageViewController) The products are layouted using collectionView flow layout which will push product items to the next line based on the item sizeDeclaration
Swift
open class ViGridSearchViewController: ViBaseSearchViewController , ViFilterViewControllerDelegate
-
save image to photo library after taking camera photo
See moreDeclaration
Swift
public class SingleImageSaver
-
Filter category view controller which allows multiple selection
See moreDeclaration
Swift
open class ViFilterCategoryViewController: UIViewController , UITableViewDelegate, UITableViewDataSource
-
Find Similar widget. Search results are displayed in a grid
See moreDeclaration
Swift
open class ViFindSimilarViewController: ViGridSearchViewController
-
Display images from photo library for selection
See moreDeclaration
Swift
public class PhotoLibraryViewController: UIViewController
-
Fetch images from photo library
See moreDeclaration
Swift
public class ImageFetcher
-
Camera view with optional crop overlay
See moreDeclaration
Swift
public class CameraView: UIView
-
Color picker view controller Present colors in a grid (collection view). Implement ViColorPickerDelegate to receive notification for selected color List of colors are configurable
See moreDeclaration
Swift
open class ViColorPickerModalViewController: UIViewController, UICollectionViewDataSource, UICollectionViewDelegateFlowLayout
-
You May Also Like widget. Search results are displayed in horizontal scroll view
See moreDeclaration
Swift
open class ViRecommendationViewController: ViHorizontalSearchViewController
-
extract the products info from schema mapping
See moreDeclaration
Swift
public class ViSchemaHelper: NSObject
-
Product card collection view cell
See moreDeclaration
Swift
open class ViProductCollectionViewCell: UICollectionViewCell
-
This is almost the same as product card used for displaying the search query product i.e. the product that is being searched during
See moreFind Similar
the product info are displayed on the right of the image (for product card in search results, the info is displayed below image)Declaration
Swift
open class ViQueryProductLayout: StackLayout<UIView>
-
Table view cell for range filter. This will contain the range filter title, the range slider and the upper/lower labels The upper/lower labels will be updated when the range filter upper/lower thumbs are dragged.
See moreDeclaration
Swift
open class ViRangeTableViewCell: UITableViewCell
-
Filter controller that shows list of filter items in a table view
See moreDeclaration
Swift
open class ViFilterViewController: UIViewController , UITableViewDelegate, UITableViewDataSource ,ViFilterCategoryViewControllerDelegate


4. Common Modeling Tasks
4.2 Create DataNode
Prerequisites. Start CayenneModeler and create
a new project or open an existing one.
Create DataNode. DataNodes (or in other words, database server connections or
physical data sources) are associated with DataDomains (logical data sources).
Select one of the DataDomains on the left hand tree. Select "Project -> Create DataNode" menu item or click
on "New DataNode" icon:
This will create a new DataNode under the selected domain. After the DataNode is created,
you can assign it any name you want instead of the default
"UntitledDataNode1".
Configure Data Source Factory. Depending on how you plan to deploy this Cayenne project,
make a selection from the "Data source factory" dropdown. Select JNDIDataSourceFactory if you plan
to obtain DataSource via JNDI from deployment container. Select DriverDataSourceFactory to
use JDBC driver.
Note:
If you are planning JNDI deployment, you may still want to create another DataNode in the project
configured to use JDBC driver for convenience. This will allow to store database connection
information in the project and use it for reverse and forward engineering of the database schema.
|
Configure DataNode Location. Location field of the JNDI DataNode is a JNDI lookup
name for the javax.sql.DataSource object that should be available from the container
at the runtime. Type this JNDI name into the "Location" field. For driver nodes location is a path to the
XML file that stores connection information, relative to the project (cayenne.xml) directory.
This field is not editable and is derived from the name of the DataNode.
Configure DB Adapter. As mentioned
in Cayenne User Guide, various RDBMS engines require special handling of some operations. Cayenne abstracts
these differences by implementaing a set of database-specific adapters. An adapter must be selected from a
"DB adapter" dropdown regardless whether the DataNode is using JNDI or Driver factory.
Standard adapters distributed with Cayenne (including a generic JDBCAdapter) are listed in the dropdown.
If you created your own adapter, type the full class name of a class that implements DbAdapter interface instead.
Configure Connection Information (Driver factory only).
Type connection user name, password, JDBC driver class, and database URL in the fields provided:
|


Flight
Hotels
Rides
Round trip
One way
Multi-city
Flying From
Flying To
Deperture
Return
Adults
Children
Travel Class
Economy Class
Business Class
Show Flight
this is hotels tab
this is hotels tab


We recommend reenabling it when you can.{% endblocktrans %}


Mega Knight Challenge
The Mega Knight Challenge has finally arrived! Go check out the latest stragergies with Chief Pat and see how you could go 12-0 yourself.
The Mega Knight Challenge has finally arrived! Go check out the latest stragergies with Chief Pat and see how you could go 12-0 yourself.
2v2 has a been a great edition to the game and there will be many people who are happy to know that it is now here permanantly. Watch some chill gameplay here with Nick!
Supercell are now selling Clash Royale Figures. These models are very realistic and high quility and offer many different troops. get your own here now!
The latest cards to be officialy announced by Supercell
The Master Builder has sent his first contraptopn to the Arena! It's a fast and fun flying machine, but fragile!
It's a Skeleton party in the sky, until all the balloons pop... then it's a Skeleton party on the ground!
Our 2 stratergy videos of the week!
Try out a simple "giant, double minions" deck from an official Clash Royale Nova player, or just watch this guy push to the gloabl top 100!
The Lumberjack is coming back into the meta! Try the deck out this deck for yourself or just sit back and watch the video!


open with neume.js editor
Add this bookmarklet link to your bookmark.
In the
neume.js reference
, click the bookmarklet.
[Run] buttons are appended to the bottom of each examples.
Have fun!!


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The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/ext/appstats/datamodel_pb.py


Home
Bar Chart
Student Age Diversity Chart
Below chart is drawn using chart.js and represents student-age data


#include <btConstraintSolver.h>
|
| virtual | ~btConstraintSolver () |
| |
| virtual void | prepareSolve (int, int) |
| |
| virtual btScalar | solveGroup (btCollisionObject **bodies, int numBodies, btPersistentManifold **manifold, int numManifolds, btTypedConstraint **constraints, int numConstraints, const btContactSolverInfo &info, class btIDebugDraw *debugDrawer, btDispatcher *dispatcher)=0 |
| | solve a group of constraints More...
|
| |
| virtual void | allSolved (const btContactSolverInfo &, class btIDebugDraw *) |
| |
| virtual void | reset ()=0 |
| | clear internal cached data and reset random seed More...
|
| |
| virtual btConstraintSolverType | getSolverType () const =0 |
| |
Definition at line 41 of file btConstraintSolver.h.
◆ ~btConstraintSolver()
| virtual btConstraintSolver::~btConstraintSolver |
( |
| ) |
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inlinevirtual |
◆ allSolved()
◆ getSolverType()
◆ prepareSolve()
| virtual void btConstraintSolver::prepareSolve |
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◆ reset()
| virtual void btConstraintSolver::reset |
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pure virtual |
◆ solveGroup()
The documentation for this class was generated from the following file:


Please press the play button and then use Up and Down key to control the audios of tasks.
There is a practice task. If you can't understand this task, please check the
Practice Task
first.


Exceptional work, well done.
Hope this is possible and is not the reason why I am receiving strange values
I use a NanodeRF SMT to upload data to a debian server. I have uploaded the example code from my RFM12b Packet Generator page (bottom section) to a emonTX and it is receiving data but not as expected. I assume that I need to include the top section ( labled Structure definition) to somewhere in the NanodeRF SMT? Or is this code specific to using a Rpie? (Hm, paket gen..gues that is what it means - for the Rpie to generate RF packets?) Would it be possible to edit the decode section of the NanodeRF to achive a useable reply? or would it be more likely a case of seting up a response from the server similar to how the time is done? if so any direction would help..
Here is a example of what the emonTX recives (Time is correct but the rest of the values do not relate to the setpoints):
glcdspace: 116
hour: 21
minute: 18
second: 6
radiatorA_setpoint: 2599
radiatorB_setpoint: 0
radiatorC_setpoint: 28
lightA: 4
lightB: 61
lightC: 156
lightD: 9
Thanx, Help is appreciated..
Re: RFM12b Packet Generator - Structure definition-using NanodeRF?
I'm not sure that I understand your question, nor what you are trying to achieve. I think you need to explain a little more about what you have and what you want to do.
Re: RFM12b Packet Generator - Structure definition-using NanodeRF?
Thanx for trying to help.
I want to modify the packet generator control example to work with a nanodeRF.
I am just not sure of the approach, I could (just my lack of coding skills ) use dials and / or set points to update feeds, then have the nanodeRF poll those feeds and when that feed value changes it (the nanodeRF) could action whatever the perimeter is (some grat examples on polling and reacting for the nanodeRF).
I am also trying to avoid using the nanodeRF as a relay, first price would be to pass the data to a dedicated relay node.
With this approach I am already stuck at how the nanodeRF could send data to another node.
It would be great get direction on how use the nanodeRf instead of the Raspberry Pie or in a simpler sense how to set up the nanodeRF to relay feed values to a listening node similarly on how it relays the time to the GLCD.
Re: RFM12b Packet Generator - Structure definition-using NanodeRF?
The Nanode is, as you appreciate, already receiving data in the form of the time, and broadcasting it to the GLCD. You want to do exactly the same thing, and with an only slightly different packet of data.
What you need to do is to extract the received data packet in the correct format. The blog post about the Packet Generator says "the module generates example Arduino code" so you need to take that code and merge it into the NanodeRF sketch in a similar way to the way it receives the time. You can then retransmit the data, again in much the same way as the time is transmitted.
You will do all that inside my_callback(...) Where you have "else if(line_buf[0]=='t')" you will need to find something unique to detect the packet of data and change the "if (....)" to detect that, then the block that follows will pack the data into a structure (like the emonTx code does) and finally you send it with rf12_sendStart(...) exactly as it is done now.
At the listener (relays) node, you will use the same structure to get the individual items of data, and you will have a sketch that looks like the GLCD sketch but without any of the GLCD components. Inside the block that follows "if (rf12_recvDone())" you will extract the data items and process them however you wish, in much the same way as the GLCD does.


Following our tasks of 3d printing, we were thr introduced to photoshop and had to create using those skills. Wiht this unit, the first task we had was to create a design using AdopePhotoshop to create a personalized image that would end up on a t-shirt. I found this first tep the most difficult as I was unfamiliar with this application, and also struggled with simply coming up with what design I would be able to make and put on a t-shirt. I then decided to make an original design of my favorite rapper, A$AP Rocky. I didn't use just a single image of him, but rather made an original collage of many different pictures which personalized the design. Once that was finished, I was ready to print, and the rest of the process was really easy. Now that I know how to do everything involved in making a shirt, I definitely will be doing it more! After the t-shirt, we had a second assignment of sublimation printing, which I have never heard of until this class. With this, you are able to make a personalized anything! Some options include basketball hoops, ties, socks, keychains, mugs, and so much more. I decided to make a design for a mug because I didn't have one in my dorm room. After creating the image I wanted on the mug, I then had to downnload a template so that I had the right dimensions when exporting onto the flashdrive. After that I was ready to print. The machine prints out special images on certain paper that bonds to an object when heated. It was super cool and something I have never seen before, so I'm really glad I had the opportunity to use that machine! It's crazy what kinds of things you can make on it.
Type Something About The Pictures (Images 1 and 2) | Type Something About The Pictures (Images 3 and 4)


Filing eMail doesn't make you more productive - really?
IBM research published an interesting study titled Am I wasting my time organizing email? A study of email refinding. It has been picked up in various places and looks like a field day for the "don't bother with organizing anything eMail" crowd. I think the paper is solid research for the question asked and the observations made.
However, I sense that a number of question haven't been asked that might change the producvtivity bottom line in favor of a different approach. I fully agree that hitting search or simply scrolling through a list of messages (often sorted by subject or sender) is a very efficient way to find a specific message. Also having a message thread is invaluable. I used message theads already in R7 when they only displayed when you open a message. So what did the study not look at (to be clear: I'm not saying they should have looked at these, but I'm saying you need to look at thse to gauge all over productivity):
However, I sense that a number of question haven't been asked that might change the producvtivity bottom line in favor of a different approach. I fully agree that hitting search or simply scrolling through a list of messages (often sorted by subject or sender) is a very efficient way to find a specific message. Also having a message thread is invaluable. I used message theads already in R7 when they only displayed when you open a message. So what did the study not look at (to be clear: I'm not saying they should have looked at these, but I'm saying you need to look at thse to gauge all over productivity):
- Impact on productivity of a full inbox. How much time do I loose to every time I look at the inbox to decide: that's a message I dealt with, this needs my attention?
- In Lotus Notes (other than Outlook) you can file a single message in as many folders as you like, so it is closer to tagging that "classical" folders. Once users know that, would they use it?
E.g. I have a folder 1Action2Day and then customer folders. I move messages often into both. When I dealt with it I just remove it from 1Action2Day. Folders in Notes are equivalent to the tags in GMail, they could be a little more prominent in the mail UI (we do have the @Formula to show) - In Notes I can at any time scroll and search in the "All Documents", so I don't need to settle for one or the other strategy. Depending on my needs different strategies work better.
- Difference in search strategy depending on short or long term tasks. E.g. I file "Thank you" eMails in a specific folder, so I can pull them out at review time. They are elusive to search since there are so many ways to say thank you (made my day, your'e the hero, awsome job etc). Also I use topic folders (e.g. a customer project) to review "what happened on the messaging wire". Using tags/folders I only need to make that association once when I process the message and not everytime when I search. So there's a huge difference between: "looking for a specific message" and "getting an overview what happened to {insert-filing-topic-here}"
- Knowing that search is available, does "remove from folder" shorten filing time (I use that quite a bit)?
- Impact of filing assistance tools. The paper mentioned one for Outlook and overlooked that we deliver one for Notes for a very long time: SwiftFile (unfortunately Windows only)
- Impact of ad-hock filing strategy. I didn't really create labels/folder upfront but create them as I go. I also do not file everything. But I do remove everything from the inbox
Posted by Stephan H Wissel on 10 October 2011 | Comments (1) | categories: IBM Notes Lotus Notes Show-N-Tell Thursday


(I) Why Call Recorder could not able to record opponents voice?
There is many vendors for mobile devices and they made their device specific to their configuration.
Since there are some countries where recording of calls are banned, that's why device manufacturer companies do not give feature to record opponents voice.
But, you could choose different option for your best suits. You can enable loudspeaker to record opponents voice properly.
(II) Why Call Recorder records only first 30 seconds (or some minutes) of conversation?
In some phones it depends on phone setting: “Screen Timeout” (or it can be similar to this). Please try to set the value of it as big as possible.
(III) If I delete, Is it possible to restore the recordings?
All the records are stored only in the SD card of the phone. Selected record is deleted permanently from this folder when you delete it from application.For now, there is no way to restore it.
(IV) What is the use of password protection in this app?
This feature is given as per some users requirements. You can use it to prevent your personal recordings to others.
(V) App is not recording calls at all, why ?
- Due to hardware limitations recording function might not work properly on some devices. It is not malfunction of the application.
- App may not function if other call recording applications are in use. Please close or delete all other recording apps.
For any other queries please send mail on<EMAIL_ADDRESS>or give us feedback through feedback section.


@* * Copyright 2018 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.play.views.html.helpers._ @import views.html.softdrinksindustrylevy.helpers._ @import sdil.config.AppConfig @(contactForm: Form[_], backLink: Call, formTarget: Call)(implicit request: Request[_], messages: Messages, config: AppConfig) @views.html.main_template(Messages("sdil.contact-details.heading"), form = Some(contactForm)) { @Messages("sdil.common.back") @error_summary(contactForm)


--- layout: post status: publish published: true title: ThoughtWorks Xmas Party author: display_name: Fabio Pereira login: admin email<EMAIL_ADDRESS>url: http://fabiopereira.me author_login: admin author_email<EMAIL_ADDRESS>author_url: http://fabiopereira.me wordpress_id: 59 wordpress_url: http://fabiopereira.me/blog/?p=59 date: '2008-12-15 23:55:42 +0' date_gmt: '2008-12-16 06:55:42 +0' categories: - Personal tags: - ThoughtWorks - Party - Sydney comments: [] ---
On the last saturday, 13th of december, we celebrated ThoughtWorks Xmas in Sydney. It was a wonderful party. Pretty well organized. Congratulation!!!
The theme was Gangster and when we got to the party we were surprised with the fact that we would have chips to play poker, roulette and blackjack.
It was a glamourous night with wine, friends, gambling (fake money) and delicious food.
You can see all the photos here.
Do you want to see more photos?
My picasa
If you really liked the party and want to see other people's photos:
Bernarda Maia
Professional photographer
Alex


public class EventDetection
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static com.rabbitmq.client.ConnectionFactory |
factory |
static com.rabbitmq.client.Channel |
transmisingChannel |
static com.rabbitmq.client.Connection |
transmisingConnection |
| Constructor and Description |
|---|
EventDetection()
Method used to initialize the CEP engine, connections to the data bus and GDI
|
| Modifier and Type | Method and Description |
|---|---|
void |
addEventDetectionNode(java.util.HashMap<java.lang.String,java.lang.String> eventDetectionLogicInputMaping,
EventDetectionNode eventDetectionNode)
Method that adds a new event detection node.
|
void |
addEventDetectionNodeAggregated(java.util.HashMap<java.lang.String,java.lang.String> eventDetectionLogicInputMaping,
EventDetectionNodeAggregated eventDetectionNodeAggregated)
Method that adds a new event detection node for aggregated messages.
|
void |
removeEventDetectionNode(java.lang.String eventDetectionNodeID)
Method that removes a node by its eventDetectionNodeID
The list of already deployed nodes is updated with this change.
|
void |
sendFakeData()
Method used to inject events in the "events" exchange for demo testing
|
public static com.rabbitmq.client.Connection transmisingConnection
public static com.rabbitmq.client.Channel transmisingChannel
public static com.rabbitmq.client.ConnectionFactory factory
public EventDetection()
public void sendFakeData()
public void addEventDetectionNode(java.util.HashMap<java.lang.String,java.lang.String> eventDetectionLogicInputMaping, EventDetectionNode eventDetectionNode)
eventDetectionLogicInputMaping
- is a HashMap linking the inputStreamName and it's UUIDeventDetectionNode
- is the EventDetection object created in MainClasspublic void addEventDetectionNodeAggregated(java.util.HashMap<java.lang.String,java.lang.String> eventDetectionLogicInputMaping, EventDetectionNodeAggregated eventDetectionNodeAggregated)
eventDetectionLogicInputMaping
- is a HashMap linking the inputStreamName and it's UUIDeventDetectionNodeAggregated
- is the EventDetection object for aggregated created in MainClasspublic void removeEventDetectionNode(java.lang.String eventDetectionNodeID)
eventDetectionNodeID
- the ID of the node we want to remove


The Infinite Deck is a deck of cards I made back in 2019 for Tabletop Simulator consisting of 180 distinct suits and an extension of the standard card ranks, going from zero to twenty, the court cards, the ace, and then an ∞ card of each suit.
The deck can be found on the Steam Workshop page here.
At some point in between then and now, it broke, and once I was reminded of this project’s existence, I fixed it again. Just in case some future thing breaks it again and you have some burning desire to use this deck in TTS or elsewhere, I have uploaded the cards and card back images to this site, which can be downloaded by clicking here.


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Persea americana is a tree that grows to 20 m (66 ft), with alternately arranged leaves 12–25 cm (5–10 in) long. Panicles of flowers with deciduous bracts arise from new growth or the axils of leaves.[9] The flowers are inconspicuous, greenish-yellow, 5–10 mm (3⁄16–3⁄8 in) wide.
Avocados can be propagated by seed, taking roughly four to six years to bear fruit, although in some cases seedlings can take 10 years to come into bearing.[44] The offspring is unlikely to be identical to the parent cultivar in fruit quality. Prime quality varieties are therefore propagated by grafting to rootstocks that are propagated by seed (seedling rootstocks) or by layering (clonal rootstocks). After about a year of growing in a greenhouse, the young rootstocks are ready to be grafted.
The subtropical species needs a climate without frost and with little wind. High winds reduce the humidity, dehydrate the flowers, and affect pollination. When even a mild frost occurs, premature fruit drop may occur, although the 'Hass' cultivar can tolerate temperatures down to −1 °C. Several cold-hardy varieties are planted in the region of Gainesville, The trees also need well-aerated soils, ideally more than 1 m deep.


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