|
chessCAMO
|
Title
chess.h
Related
chess.cpp
Project
chessCAMO
I decided to create this project due to my growing interest in software development. Coming from an Engineering background with Deep Learning research experience (Recent Master of Applied Science graduate), I realized that writing and developing code (both front and back end) were highly appealing to me. Thus, I spent a lot of time building upon my existing coding knowledge through online material and knew that it is time to test my knowledge on a challenging project. Additionally, I played chess (not very seriously) consistently since the age of about 4-5, so one can say that it is a very big part of my life. As a result, this project allowed me to gain valuable experience and knowledge while working on a topic that I am passionate about and have expertise in.
YouTube - Look Out Be on the look out for a detailed YouTube video series explaining the various sections of this project. I feel like others could benefit from the logic involved in creating a project on this scale, which is relatively large and requires a substantial time commitment. Often times, when starting from scratch, an inexperienced software developer will quickly get overwhelmed by the complexity and decide to end the project before anything major is finished. I was in the same boat before and understand the frustration of wanting to work on an interesting project, but simply not being able to. It is often best to work on small pieces and build your way to the final product. This gives you a sense of accomplishment at each step and prevents you from experiencing the overwhelmed feeling. Let me know if you are interested in me making the videos and what you would like to see.


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IN THE HIGH COURT OF JHARKHAND AT RANCHI A.B. A. No. 4050 of 2018 Jitendra Gupta @ Jitendra Kumar @ Jitendra Gupta & 06 Ors. ...... Petitioners Versus State of Jharkhand ...... Opposite Party -----
CORAM: HON'BLE MR. JUSTICE ANANT BIJAY SINGH
-----
For the Petitioner : Mr. R.R.Sinha, Advocate For the State : A.P.P ----- 02/Dated: 20/07/2018
The petitioner is apprehending his arrest in connection with Sikidiri P.S. Case No. 11/2017, corresponding to G.R. No. 1206/2016, the case registered under Sections 379 of the Indian Penal Code, sections 21(1),21(6) of the Mines & Minerals ( Development and Regulation ) Act, 1957, section 4 of JMMC Act, section 54 of JMMC Rules, 2004 and section 21(A) and 37 of the Prevention and Control of Air Pollution Act.
Office is directed to call for the case diary and the criminal antecedent report of the petitioner.
List this case after Eight Weeks.
Till then, no coercive steps shall be taken against the petitioners in connection with Sikidiri P.S. Case No. 11/2017, corresponding to G.R. No. 1206/2016, pending in the court of JM Ranchi.
( Anant Bijay Singh, J.) Raman/


title=Third news post date=2014-12-02 type=newspage meta.author=Rajmahendra status=published ~~~~~~ This is my Jug blog.Here are my list of contribution ->Jbake addon ->eWidgetFX ->JRebirth


@(widgets: Seq[Widget], form: Form[WidgetForm.Data], postUrl: Call)(implicit request: MessagesRequestHeader) @main("") {
Please create 3 to 6 players by entering their name.
Local Game:
Press Start Game to start the game. Press Reset to reset the player list.
Multi-Client Game:
Wait for all players to enter the lobby. One player will press Start Game, everyone else will press Join Game
@* Flash shows updates to a page *@ @request.flash.data.map{ name<EMAIL_ADDRESS>}


| Directory | Purpose |
|---|---|
| bin | Contains all the (test and example) programs built using the makefiles provided with the distribution |
| build | Contains all the compiler/architecture-specific makefiles used for building Pantheios |
| doc | Contains the auto-generated documentation |
| examples | Contains a number of examples, illustrating the different aspects and uses of Pantheios |
| include | Contains all the header files defining the Pantheios Core, Application Layer, stock Back-end, stock Front-end and Utility components |
| lib | Contains all the libraries built using the makefiles provided with the distribution |
| projects | Contains project and workspace files for accessing Pantheios via Integrated Development Environment(s) (IDEs) |
| scripts | Contains scripts with which you may regenerated function template suites of the Pantheios Application Layer according to your specific requirements |
| src | Contains all the source files (.c and .cpp) from which the Pantheios libraries are built |
| test | Contains unit, component, performance and scratch test projects and their source, which are used to verify the correctness of the library |


Title: {{ album.Album }}
Artist: {{ album.Artist }}
Best Rhyme: "{{ album.BestLine }}"
--- layout: page title: 5 Hip Hop Classics ---
Here is a selection of 5 of my favourite classic hip hop albums.
{% for album in site.data.classichiphop %}Title: {{ album.Album }}
Artist: {{ album.Artist }}
Best Rhyme: "{{ album.BestLine }}"


The Spincast Javadoc is now available online.
A link to that Javadoc has been added at the top of the documentation page, and at the top of each plugin's page.
Look for thoses links: !


Chronic and Acute Problems in Software
Identifying the Illness
Medicine clearly distinguishes between chronic and acute conditions. Acute conditions have a clear and relatively sudden onset, affect a clearly defined component of the system, and respond quickly to treatment. Chronic conditions develop gradually, affect multiple parts of the system, and respond uncertainly to treatment.
Due to these differences, treatment for acute conditions differs greatly from treatment for chronic conditions in methods and efficacy. Chronic illness is the leading cause of death and disability in the US, while medicine has drastically improved at treating acute conditions. The current success rate for heart bypass surgery is 95 to 98 percent. Meanwhile, chronic heart disease remains the leading cause of death in the US. Medicine is good at treating acute conditions, but due to the more complex nature of chronic conditions, has not been able to achieve the same level of success with treating chronic conditions.
Compare this with certain kinds of problems we try to solve as developers, project managers, and business owners in software projects:
- There’s a bug in the ordering system, so we track it down and fix it.
- The business needs a new feature added, so we write a story, and add the feature.
- Our response time has degraded, so we do some diagnostics, rewrite a few things, and speed it up.
- Our developers have decided that we’d be more productive writing our app in React, rather than Angular, so we rewrite it in React.
These are all acute problems. There are clear pain points, symptoms, and solutions for these problems. We like solving these problems because there’s a sense of urgency, a knowable place to start, and quick feedback once we’ve destroyed the sickness. And we’re good at solving these problems.
But there are other kinds of problems we encounter in software that lack these characteristics:
- We’ve overrun many deadlines, so we try to estimate better, and write clearer stories, but we still frequently miss our estimates.
- We chose to rewrite our app, but the development team failed to finish in time, now we’re scrapping the project.
- The last project failed, so now the business doesn’t trust the development team, and now developers feel like they’re being micromanaged.
These are harder problems to solve. How do we become productive again? How do we restore the business’s trust in the engineering team? How do we ensure business owners are clearly communicating feature requirements to developers? These problems are more akin to chronic conditions, affecting multiple parts of our team in different ways, with an uncertain root cause, and developing gradually.
A Systems Perspective
We can’t treat these problems the same way we pursued our acute problems. Rewriting our Ruby app in Go is not going to prevent the dev team from ever missing another deadline. Switching from incremental to fibonacci estimates isn’t going to make you and the business argue about estimates less frequently. Using Jira instead of Pivotal Tracker isn’t going to better prioritize your work. Asking your Ops team to be faster is not going to get you that database sooner. Asking the business owners to prioritize giving you information on how to implement the next feature over planning and rehashing the entirety of the project isn’t going to get the project done sooner.
These kinds of chronic problems stem from conditions that exist across the system and manifest themselves in specific ways, some of which we end up seeing firsthand. To solve chronic problems on our software teams, we need to approach these problems from a systems perspective.
As Donella H. Meadows explains in “Thinking in Systems,” a system is “an interconnected set of elements that is coherently organized in a way that achieves something.” The connections and flows in a system manifest as stocks. Stocks are things that we can see, feel, and measure. On our teams we have stocks of things like knowledge, technical debt, pressure, money, time, happiness, and power at different places throughout our organization. Changes to one stock create changes in other stocks through various feedback loops that act based on a set of decisions, rules, or physical laws.
For example, you have a feedback loop that assesses your job satisfaction. The flows of both pay and workload into your stocks of money and stress initiate this loop. When your stress stock changes, the feedback loop involves you reassessing your job satisfaction. You might meet with your employer to discuss changing the flow of pay to your money stock or workload affecting your stress stock.
Of course, systems are more complex than we can model in one diagram. This is a simplification of the system focusing only on the two things we’re discussing in this scenario, as any diagram of any system would be a simplification. The important part of a system diagram like this is to identify the components of our system relevant to the problem we are trying to solve.
Human Software Systems
Once we start identifying the flows, stocks, and feedback loops of the system facing a chronic problem, we can then figure out where to add, remove, or modify certain feedback loops to bring our stores into proper levels over time.
For example, if we need to build more knowledge of business requirements in our dev team’s store of knowledge, we need to build up the feedback loop that asks for more information and adjusts that flow. That probably sounds simpler than it is though, because it requires effort from multiple parts of our team—developers taking the time to ask questions and business owners being available and taking the time to answer questions (and vice-versa). It may involve adding new people to the team to facilitate this loop, or maybe moving others to new roles if their current position inhibits the feedback loop.
Problems of trust—territorialism; animosity between the dev team, project managers, and business owners; aversion to change; excessive planning and process—often arise due to a system condition that Meadows calls “seeking the wrong goal.” In these systems, “behavior is particularly sensitive to the goals of feedback loops. If the goals—the indicators of satisfaction of the rules—are defined inaccurately or incompletely, the system may obediently work to produce a result that is not really intended or wanted.”
In this case, developers may have a feedback loop that tells them to continue writing code, but no feedback loop exists to tell them whether the code they’re writing is buggy or whether people actually like what they’re building. Managers may have a feedback loop that determines whether they’ve had the right meetings, but no feedback loop that tells them what pain points their reports would actually like to discuss. Business owners may have a feedback loop that tells them whether they’ve outlined everything they think the developers should know about their needs, but no feedback loop that adequately tells them what the developers really need to know right now.
In this system, everyone has a feedback loop that seeks to satisfy their own goals and the system ends up slowly producing some software that works, but there are lots of bugs and nobody is particularly happy. The system is missing feedback loops that address the real welfare of the system—that of creating high-quality software that the business loves to use.
XP, Agile, Kanban, all strive to explicitly drive out these important feedback loops and turn them into habits. What you call the process doesn’t actually matter once you can clearly say that your process provides the necessary feedback loops for your system to seek the right goal.
Changing Habit
The hardest part of fixing any of these chronic, system-wide problems is that they involve changing people’s habits. Changing habit is hard, specifically because the entire point of a habit is to allow us to reduce the amount of effort we put forward in doing certain things:
When a habit emerges, the brain stops fully participating in decision making. It stops working so hard, or diverts focus to other tasks. So unless you deliberately fight a habit—unless you find new routines—the pattern will unfold automatically.
— Charles Duhigg, The Power of Habit
In fact, you could say that organization-wide problems in software resemble chronic illness because they are brought about by habit, which itself resembles a chronic illness. Habit, too, develops gradually, is long-lasting, and responds uncertainly to treatment. But, we know we can change our habits. It just takes time and awareness of the habit and the conditions that led to it.
Software developers and participants in the software development process love to solve problems. But we can’t approach every problem the same way. Our biggest failure in solving certain chronic problems would be to look for clear root causes and expect quick results once our clear-cut solution is implemented—as if we can solve these complex problems the same way we’ve solved acute problems on our teams. By acknowledging the complexity of chronic problems, we can give ourselves and our team members a more accurate assessment of the multi-faceted, long-term, uncertain, and habit-changing approach that we need to take to solve the problem. That way we can approach the problem with the tact and patience it deserves while reducing discouragement and frustration for ourselves and our team members when our simple solutions don’t fix things right away.


{% load static %}
Currently only CLSM & FIB-SEM imaging modalities can be visualized (other modalities will be added in future)
Select your desire viewer:
3D Rendering techniques:
Gradient ScalarUnit Sample-Dis Blending Color Z-Scale
Gradient Opacity Iso value Color Z-Scale


A TypeScript Applications Framework, for building real-time, {{words[currentWord]}} applications
Typescript | Angular2 | Express | Horizon | RethinkDB
Login With Auth0


--- layout: default title: "404: Page not found" --- 404 404: Page not found No se encontro la pagina solicitada, we've misplaced that URL or it's pointing to something that doesn't exist. Head back home to try finding it again.
No se encontro la pagina solicitada, we've misplaced that URL or it's pointing to something that doesn't exist. Head back home to try finding it again.


Facilities to capture, inspect, manipulate, and create lazy values (promises), "..." lists, and active calls.
| Version: | 0.4 |
| Suggests: | testthat (≥ 2.0.0), compiler (≥ 3.4), roxygen2 (≥ 2.2.2), knitr (≥ 1.2), plyr (≥ 1.8.1), ggplot2 (≥ 1.0.1), lazyeval (≥ 0.2.0), stringr (≥ 1.2.0) |
| Published: | 2018-08-06 |
| Author: | Peter Meilstrup |
| Maintainer: | Peter Meilstrup <peter.meilstrup at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | nseval results |
| Reference manual: | nseval.pdf |
| Package source: | nseval_0.4.tar.gz |
| Windows binaries: | r-devel: nseval_0.4.zip, r-release: nseval_0.4.zip, r-oldrel: nseval_0.4.zip |
| OS X binaries: | r-release: nseval_0.4.tgz, r-oldrel: nseval_0.4.tgz |
Please use the canonical form https://CRAN.R-project.org/package=nseval to link to this page.


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a dedicated chain per game should be enough. if not you can make a cluster of chains
fmproductions07-Mar-19 01:08 PM
ah I see
TwilightPunkster K6407-Mar-19 01:08 PM
oh @fmproductions meet the founder lead dev and prime rogue @jl777c
grewalsatinder07-Mar-19 01:09 PM
Independent blockchain
Dedicated storage for single game
TwilightPunkster K6407-Mar-19 01:09 PM
please don't make me look like a fool, don't share your comics with him ever, I'll b-slap you harder than an eight armed hindu goddess @fmproductions(edited)
tyok
1
fmproductions07-Mar-19 01:10 PM
woah, hi there jl777c, should you read this ^^
Cryptofist07-Mar-19 01:10 PM
It also gave a way for a betting platform and multiplayer for Rogue games. Players pay a fee, last player standing wins the pot.
TwilightPunkster K6407-Mar-19 01:10 PM
just in case you feel to free
fmproductions07-Mar-19 01:10 PM
sure xD
I won't meme here
TwilightPunkster K6407-Mar-19 01:10 PM
they can handle me so far, so you'll be fine
Cryptofist07-Mar-19 01:11 PM
Another potential feature is a game studio making it so that the tokens (characters or items) could be swapped between games.
1
TwilightPunkster K6407-Mar-19 01:11 PM
@fmproductions alrighty, I am probably have to clean out my crypto and get ourselves some vps boxes, linodes good for you or should we bang on something else?
@Cryptofist miles ahead of ya
Cryptofist07-Mar-19 01:11 PM
So say something like taking your character from RPG 1 over to RPG 2
Of course.
TwilightPunkster K6407-Mar-19 01:12 PM
I have about 200Gb of game assets, and about 50K worth of assets I can use for games. Plus I made some nifty automation tools.
read: Twilight Punkster Galaxy is all about items
grewalsatinder07-Mar-19 01:13 PM
@Cryptofist u have ybe grasp of cc games possibilities
TwilightPunkster K6407-Mar-19 01:13 PM
well, our first thing is to make that Unity bridge have a twin Unreal brother
1
grewalsatinder07-Mar-19 01:13 PM
Real Player One
TwilightPunkster K6407-Mar-19 01:14 PM
second, we create a production ready, lean mean skyrim machine of 6AM that can beat the crap out of any Solidity contract and use the solc low level api to transpile Ethereum DApp like logic into Komodo stuff
basically my strategy is to make this so good, that my 10 KMD is worth millions and I can buy a lambo.
2
btw, @fmproductions have you ever seen a bot like this
Cryptofist07-Mar-19 01:16 PM
@grewalsatinder Thank you! I am very excited about all the possibilities.(edited)
TwilightPunkster K6407-Mar-19 01:16 PM
!kmdtip @fmproductions 5
KMD TipBotBOT07-Mar-19 01:16 PM
TipBot
@TwilightPunkster K64 (TwilightPunkster#7533)
You tipped @fmproductions5 KMD
TwilightPunkster K6407-Mar-19 01:16 PM
^^ they have a money bot
Cryptofist07-Mar-19 01:17 PM
!arrrtip @fmproductions 10.0001
fmproductions07-Mar-19 01:17 PM
woah, this is related to the discord user though, how would you process that.
interesting indeed!
Cryptofist07-Mar-19 01:17 PM
we have several.
ARRR TipBotBOT07-Mar-19 01:17 PM
TipBot
@Cryptofist (Cryptofist#7504)
You tipped @fmproductions10 ARRR
A network fee of 0.0001 ARRR was deducted from the amount.
This operation is pending. You will be notified when when it has finished.
TwilightPunkster K6407-Mar-19 01:17 PM
@fmproductions you basically have a wallet and you now have KMD (around 0.8 euro or so)
... I am speechless
@fmproductions they have money bots.
Cryptofist07-Mar-19 01:18 PM
So, you can also make a discord bot like these that can exchange tokens, currency and interact with the game, blockchain and social site.(edited)
1
TwilightPunkster K6407-Mar-19 01:18 PM
dude
fmproductions07-Mar-19 01:18 PM
and the walled transactions are so fast?
TwilightPunkster K6407-Mar-19 01:18 PM
@fmproductions how many bots do I have like in one script?
Cryptofist07-Mar-19 01:18 PM
So your discord CAN BE your game marketplace.
TwilightPunkster K6407-Mar-19 01:19 PM
none of my bots tip monies though, but maybe in the future
Cryptofist07-Mar-19 01:19 PM
@fmproductions Most are, yes.
fmproductions07-Mar-19 01:19 PM
true!
TwilightPunkster K6407-Mar-19 01:19 PM
anyway, thats a cool feature and all, but basically we are doing this for a better world
fmproductions07-Mar-19 01:19 PM
I have seen a lot of discord bots, with neat features, but never in a combination like that
Cryptofist07-Mar-19 01:19 PM
I figure the token exchanging would be fun for game items.
Great for promotions, Join discord and receive an item pack.
fmproductions07-Mar-19 01:20 PM
just a short while ago I was adding a little feature to a music player bot, which essentially lists you the last x tracks it played with some detail information
but that is about it
Cryptofist07-Mar-19 01:22 PM
I believe there are quite a few open source bots in the blockchain space that can be used to extract ideas from. The tip bots we have here all come from one person with private code.
3
TwilightPunkster K6407-Mar-19 01:26 PM
anyway, we'll work this thing out. Probably best if we stick our nerd talk here and whoever is interested can well follow stuff @fmproductions
maybe along the way @jl777c might have a suggestion or two
jl777c07-Mar-19 01:28 PM
without game events validation, how will it be ensured to avoid fake items?
seems the issuance of new item needs to be strictly controlled
TwilightPunkster K6407-Mar-19 01:29 PM
yup, but for that I got something special
jl777c07-Mar-19 01:29 PM
it would be a key part of the SDK
TwilightPunkster K6407-Mar-19 01:30 PM
do I hear a spec
jl777c07-Mar-19 01:31 PM
part of the black box
as without it, things dont really work right
TwilightPunkster K6407-Mar-19 01:31 PM
yes, I was going to make a full spec since there wasn't any, but it is part of my plan (I just have an other name for it)
fmproductions07-Mar-19 01:32 PM
Thank you for the gracious tip! appreciate it. May I ask where the tokens come from? does there need to be a wallet connection for those who tip for the bot?
TwilightPunkster K6407-Mar-19 01:32 PM
@fmproductions basically, all those questions will make sense after the initial setup. I'll write everything down somewhere tonight
fmproductions07-Mar-19 01:33 PM
alright!
jl777c07-Mar-19 01:33 PM
the tipbot is a centralized thing, you interact with it in the special channel
TwilightPunkster K6407-Mar-19 01:33 PM
certain parts are so easy, but all the jargon will make you search for days
@jl777c I only used it for demonstration purposes, I was shocked to see it, so I wanted to prepare my friend here for such things.
jl777c07-Mar-19 01:35 PM
for the dilithium CC, i implemented unique handles. so you register a handle with your pubkey (and dilithium bigpubkey)
after that it would be possible for gui to "send" to a handle, which underneath is converted to the registration txid
1
TwilightPunkster K6407-Mar-19 01:35 PM
@fmproductions what testing strategy do you prefer? UT/E2E or some sexy TDD/BDD?
jl777c07-Mar-19 01:36 PM
and the validation uses the registration txid to obtain the pubkey to use
TwilightPunkster K6407-Mar-19 01:37 PM
@fmproductions the CC usage refer to the smart contract modules, which are Crypto Conditions(edited)
<< also the chans are about that
fmproductions07-Mar-19 01:39 PM
TDD BDD usually where I have worked, but the tests can come after the initial prototype is done.
also thanks for the bot info
TwilightPunkster K6407-Mar-19 01:40 PM
@fmproductions there is a lot, also, we are going to need a specific branch of Komodo to do certain stuff
1
and I have to buy some stuff for us
afaik there aren't some quick fire it up instance thingies, but you know how I like to make life easy
@fmproductions btw, how about a brawler demo for Unreal?
like Tekken 7 rewards?
fmproductions07-Mar-19 01:44 PM
now, this would be interesting
not sure yet, but let's talk about that too ofc
TwilightPunkster K6407-Mar-19 01:45 PM
I'm thinking lootbox-like reward
fight for the price
I got all combat animations mocapped from twilight punkster
Fury moves in Twilight Punkster are chained combos that can grow up to 13 levels and become more powerful as your character increases in stats. #gamedev #indiedev #IndieGameDev #madewithunity #pc #rpg #gamejolt https://t.co/FuR1YTnlzF
Here is the Twilight Punkster battle mechanic in action. #indiedev #gamedev #unity3d #madewithunity #RETROGAMING #IndieGameDev #RPG https://t.co/btTmE0aoFv
the spherical combat system from Twilight Punkster Retro
fmproductions07-Mar-19 01:50 PM
I think that might work!
TwilightPunkster K6407-Mar-19 01:51 PM
another possible one is to use the isometric one, that never made it


Our Purpose
BLD PWR engages culture, education and activism to build and train
an inclusive community of entertainers and athletes to advance
radical social change.
Partnering with grassroots causes and
organizations, the purpose of BLD PWR is to increase action and
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BLD PWR
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organization.


1. Delta specification
This is a delta specification, meaning that it currently contains only the differences from CSS Transitions Level 1 [CSS3-TRANSITIONS]. Once the Level 1 specification is closer to complete, it will be merged with the additions here into a complete level 2 specification.
2. Transitions
2.1. The transition-property Property
Although the transition-property may specify shorthand properties and the all keyword, individual transitions are generated for each longhand sub-property that is animatable. The expanded transition property name of a transition is the name of the longhand sub-property for which the transition was generated (e.g. border-left-width).
2.2. The transition-duration Property
The transition-duration property specifies the iteration duration of the transition’s associated animation effect.
2.3. The transition-timing-function Property
The transition-timing-function property specifies the timing function of the transition’s associated animation effect (see Web Animations 1 § 4.10 Time transformations).
Note: Unlike CSS animations, the timing function for CSS transitions applies to the animation effect as opposed to the individual keyframes since this allows it to be reflected in the transformed progress as used when calculating the reversing shortening factor.
2.4. The transition-delay Property
The transition-delay property specifies the start delay of the transition’s associated animation effect.
3. Starting of transitions
The owning element of a transition refers to the element or pseudo-element to which the transition-property property was applied that generated the animation. A transition may be disassociated from its owning element such that it has no owning element.
The set of running transitions includes only those transitions that have an owning element.
Whenever an implementation is required to cancel a transition, it must disassociate the transition from its owning element and run the procedure to cancel an animation on the transition.
Although not explicitly defined by level 1 of this specification, in addition to canceling transitions on elements that are no longer connected, implementations must also cancel any running transitions on elements that are no longer being rendered and remove transitions on them from the set of completed transitions.
Note that calling the cancel()
method
on the CSSTransition
object representing a running transition does not cause the transition to be disassociated
from its owning element.
3.1. Faster reversing of interrupted transitions
The reversing shortening factor and reversing-adjusted start value associated with a transition in order to produce correct reverse behavior, are associated with the transition itself and not, for example, its animation effect. As a result, transitions will use these same values when producing a reversed transition, even if the transition’s associated animation effect has been updated or replaced using the Web Animations API [WEB-ANIMATIONS].
3.2. The current transition generation
Associated with each top-level browsing context is a current transition generation that is incremented on each style change event.
Each time a new transition is generated, the current value of the (already incremented) current transition generation is stored as the transition’s transition generation.
4. Application of transitions
4.1. Animation composite order
Animations generated from the markup defined in this specification have an animation class of ‘CSS Transition’.
CSS Transitions have an earlier composite order that CSS Animations and animations without a specific animation class.
Within the set of CSS Transitions, two animations A and B are sorted in composite order (first to last) as follows:
-
If neither A nor B has an owning element, sort based on their relative position in the global animation list.
-
Otherwise, if only one of A or B has an owning element, let the animation with an owning element sort first.
-
Otherwise, if the owning element of A and B differs, sort A and B by tree order of their corresponding owning elements. With regard to pseudo-elements, the sort order is as follows:
-
element
-
::marker
-
::before
-
any other pseudo-elements not mentioned specifically in this list, sorted in ascending order by the Unicode codepoints that make up each selector
-
::after
-
element children
-
-
Otherwise, if A and B have different transition generation values, sort by their corresponding transition generation in ascending order.
-
Otherwise, sort A and B in ascending order by the Unicode codepoints that make up the expanded transition property name of each transition (i.e. without attempting case conversion and such that ‘-moz-column-width’ sorts before ‘column-width’).
Transitions generated using the markup defined in this specification are not added to the global animation list when they are created. Instead, these animations are appended to the global animation list at the first moment when they transition out of the idle play state after being disassociated from their owning element. Transitions that have been disassociated from their owning element but are still idle do not have a defined composite order.
Note, this behavior relies on the fact that disassociating a transition from its owning element always causes it to enter (or remain) in the idle play state.
4.2. Animation cascade level
Animations with an animation class of ‘CSS Transition’ that have an owning element are applied to the ‘Transitions declaration’ level of the CSS cascade. All other animations generated by the markup defined in this specification, including animations that no longer have an owning element, are applied to the ‘Animation declarations’ level of the cascade. (See Web Animations 1 § 5.4.5 Applying the composited result.)
5. Transition Events
5.1. Event dispatch
Note, this is a more general description of event dispatch than that of CSS Transitions Level 1 [CSS3-TRANSITIONS] since it must account for the possibility of animations being seeked or reversed using the Web Animations API [WEB-ANIMATIONS]. Furthermore, it is possible using the Web Animations API to substitute the transition effect with an entirely different effect with properties not normally used with transitions (e.g. an effect that repeats multiple times) and hence this section provides a generic definition that accounts for the full complexity of the Web Animations model.
To avoid firing redundant events, the set of events to dispatch is based on comparing the phase of the transition in the previous sample (animation frame) to its current state.
The transition phase of a transition is initially ‘idle’ and is updated on each sample according to the first matching condition from below:
- If the transition has no target effect,
-
The transition phase is set according to the first matching condition
from below:
- If the transition has an unresolved current time,
- The transition phase is ‘idle’.
- If the transition has a current time < 0,
- The transition phase is ‘before’.
- Otherwise,
- The transition phase is ‘after’.
- If the transition is pending and its phase was previously ‘idle’ or ‘pending’,
- The transition phase is ‘pending’.
- Otherwise,
- The transition phase is the phase of its target effect.
For calculating the elapsedTime
of each event, the following
definitions are used:
-
interval start =
max(min(-start delay, active duration), 0)
-
interval end =
max(min(target effect end - start delay, active duration), 0)
In the above formulae, references to the start delay, active duration, current iteration, iteration start, and iteration duration of a transition should be understood to refer to the corresponding properties of the transition’s target effect.
Each time an animation is sampled, the events to dispatch are determined by comparing the transition phase before and after the sample as follows:
| Change | Events dispatched | Elapsed time (ms) |
|---|---|---|
| idle → pending or before | transitionrun
| interval start |
| idle → active ٭ | transitionrun
| interval start |
transitionstart
| ||
| idle → after ٭ | transitionrun
| interval start |
transitionstart
| ||
transitionend
| interval end | |
| pending or before → active | transitionstart
| interval start |
| pending or before → after ٭ | transitionstart
| interval start |
transitionend
| interval end | |
| active → after | transitionend
| interval end |
| active → before | transitionend
| interval start |
| after → active | transitionstart
| interval end |
| after → before ٭ | transitionstart
| interval end |
transitionend
| interval start | |
| not idle and not after → idle | transitioncancel
| The active time of the animation at the moment it was cancelled calculated using a fill mode of both. |
٭ Where multiple events are listed for a state change, all events are dispatched in the order listed and in immediate succession.
Since the elapsed time defined in the table and procedure above is
expressed in milliseconds, it must be divided by 1,000 to produce a value in
seconds before being assigned to the elapsedTime
member of
the TransitionEvent
.
The above state transition chart ensures that, with the exception of transitions that are paused or have an infinite running time, the following invariants hold:
-
For every
transitionrun
event there will be a exactly onetransitionend
ortransitioncancel
and never both. -
For every
transitionstart
event there will be a exactly onetransitionend
ortransitioncancel
and never both. -
Every
transitionend
event is preceded by a correspondingtransitionstart
event.
The typical sequences of events, then, are as follows:
-
Regular playback:
transitionrun
,transitionstart
,transitionend
. -
Interrupted playback:
transitionrun
,transitionstart
,transitioncancel
. -
Interrupted playback during delay or pending phase:
transitionrun
,transitioncancel
. -
Reversed playback after completion:
transitionrun
,transitionstart
,transitionend
,transitionstart
,transitionend
.
6. DOM Interfaces
6.1. The CSSTransition interface
[Exposed =Window ]interface :
CSSTransition Animation {readonly attribute CSSOMString transitionProperty ; };
transitionProperty
, of type CSSOMString, readonly-
The expanded transition property name of this transition.
6.2. Requirements on pending style changes
Various operations may affect the computed values of properties on elements. User agents may, as an optimization, defer recomputing these values until it becomes necessary. However, all operations included in programming interface defined in this specification, as well as those operations defined in Web Animations [WEB-ANIMATIONS] that may return objects defined by this specification, must produce a result consistent with having fully processed any such pending changes to computed values.
elem
’s opacity property is updated, a user agent may defer
recalculating the computed value of the opacity property.
The first time this occurs, calling getComputedStyle(elt)
and
subsequently accessing the opacity
property of the result will
cause the user agent to recompute the value of opacity.
After the opacity property is updated a second time, the getAnimations()
method is called on elem
.
This method is specified by Web Animations and can return CSSTransition
objects as defined in this specification.
Hence, as result of the requirements in this section, the user agent must apply
any pending style changes thus generating a new CSSTransition
for the opacity property before returning its result.
7. Issues commonly raised as issues with previous levels
These issues were commonly reported issues with the previous level of the specification.
More powerful timing function syntax is a common request from developers. See, for example: 2013 message or 2015 thread.
Developers frequently have to trigger style flushes in order to force transitions to start. It would be good to have an API that would avoid this requirement. See, for example, 2011 proposal.
8. Issues deferred from previous levels of the spec
These issues were in previous levels of the specification, but may not turn out to be important in this level either.


--- layout: post title: "2015 Projects" date: 2015-01-09 21:50:00 +0000 categories: tags: image: https://s3.amazonaws.com/audreywatters/2015-01-09-writing.jpg imagecredits: https://www.flickr.com/photos/nypl/3109295177 ---
What I’m working on:
I’ll continue to write my weekly round-up of education news. (These posts are essential when it comes time for me to write my year-end review of the top ed-tech trends.) I’ll also continue to write a weekly newsletter, which is more of a list of “recommended readings.”
I’ve also set a goal to write one long-form piece on Hack Education every week. (My first one of the year was on "wearables.")
I’m working on a book currently called Reclaim Your Domain: Building Learner-Centered Technologies. The book paints an alternative picture to much of the ed-tech that we use today. Think of it as “The Indie Web,” but for K–12 not just adult learners. The manuscript is due by the end of February.
Once I get the Reclaim Your Domain manuscript shipped off to the publisher, I’ll go back to this ongoing book project. I am determined to finish it this year. And as you can tell by my post, I’ve totally managed to clear my work schedule in order to do so. (I’m thinking of submitting a proposal to the NEH for the book. We’ll see.)
I’ve started the GitHub repo to track on the 2015 Top Ed-Tech Trends. Related to the trends, I’m going to do a better job of tracking ed-tech investment this year. I’ll be releasing the info monthly in a JSON format. Because seriously, screw PDFs. In related news, I’ve also started work on what I’m calling The Horizon Report Data Liberation Project.
I’m working on an article with Tressie McMillan Cottom on race and MOOCs. And I’m working on an article on the history of MOOCs as well. Both of these are for academic publications. (I remain a "recovering academic.")
Although I won't be editing the publication, I’ll still be contributing Educating Modern Learners’ “What You Should Know This Week” article every Friday. And I’ll probably write an article or two a month as well.
José Vilson and I are facilitating a conversation at Educon again this year. I’m speaking at Ryerson University in February. I’m on the DML conference committee, and I’ll pull together a featured panel for that (featuring Tressie, Kate Bowles, and myself). It looks like I’m going to ISTE in Philadelphia this summer. I’ll accompany Kin to Sydney and Berlin. And I’m speaking at the ICDE World Conference in South Africa this fall.
I have really really tried to cut back my travel. I swear.
I have a couple of other potential projects in the works too. But the most important thing for me this year is to focus on writing.


There is No Such Thing as Not Voting
November 7, 2016 · 1 minute read · Comments“If you are bored and disgusted by politics and don’t bother to vote, you are in effect voting for the entrenched establishments of the two major parties, who please rest assured are not dumb, and who are keenly aware that it is in their interests to keep you disgusted and bored and cynical and to give you every possible reason to stay at home doing one-hitters and watching MTV on primary day.  In reality, there is no such thing as not voting: you either vote by voting, or you vote by staying home and tacitly doubling the value of some diehard’s vote.”
— David Foster Wallace


Callbacks¶
Encyclopaedia and EncEntry have callbacks which can be used to connect events occurring in an encyclopaedia to the rest of the game.
unlock_callback¶
Both Encyclopadedia and EncEntry have a parameter called unlock_callback.
When a function is assigned to unlock_callback, that function will be called whenever a child entry is unlocked.
def increase_intelligence():
nerd_points += 1
my_encyclopaedia.unlock_callback = increase_intelligence
viewed_callback¶
EncEntry has a parameter called viewed_callback.
When a function is passed to viewed_callback, that function will be called when the entry is first viewed.
def kung_fu_callback(*args):
global knows_kung_fu
knows_kung_fu = True
my_entry.viewed_callback = (kung_fu_callback,)
viewed_callback takes a tuple with the first item being the function and subsequent items being arguments for that function.


System Architect Diagram "Text Valued Qualifier"
Sorry, this document will only work on browsers capable of displaying frames (e.g. Netscape Navigator and Internet Explorer).


|
'Export VistA Tables' Menu Options: |
Description: |
|
Gender |
Fetches, saves, and displays (via notepad) allowable gender/sex selection values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Gender column. This list is saved in [APPDATA]\Importer\Gender.txt. |
|
Booleen |
Fetches, saves, and displays (via notepad) allowable booleen selection values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Booleen column. This list is saved in [APPDATA]\Importer\Booleen.txt. |
|
Race |
Fetches, saves, and displays (via notepad) allowable 'Race' selection values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Race column. This list is saved in [APPDATA]\Importer\RACE.txt. |
|
Ethnicity |
Fetches, saves, and displays (via notepad) allowable Ethnicity values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the 'Ethnicity' list should match the values in the Tables worksheet; Ethnicity column. This list is saved in [APPDATA]\Importer\ETHN.txt. |
|
Employ_Status |
Fetches, saves, and displays (via notepad) allowable Employment Status values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Employ_Status column. This list is saved in [APPDATA]\Importer\EMPLOY.txt. |
|
Insurance |
Fetches, saves, and displays (via notepad) allowable Insurance Company values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Insurance column. This list is saved in [APPDATA]\Importer\INSUR.txt. |
|
Location |
Fetches, saves, and displays (via notepad) allowable LOCATION/CLINIC values from VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Location column. This list is saved in [APPDATA]\Importer\LOC.txt. |
|
Person |
Fetches, saves, and displays (via notepad) allowable PERSON/PROVIDER values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Person column. This list is saved in [APPDATA]\Importer\USER.txt. |
|
Problem_status |
Fetches, saves, and displays (via notepad) allowable Problem Status values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Problem_status column. This list is saved in [APPDATA]\Importer\PROBSTAT.txt. |
|
Problem_Type |
Fetches, saves, and displays (via notepad) allowable Problem Type values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Problem_Type column. This list is saved in [APPDATA]\Importer\PROBTYPE.txt. |
|
Vital_type |
Fetches, saves, and displays (via notepad) allowable Vital(s) Type values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Vital_type column. This list is saved in [APPDATA]\Importer\VITAL.txt. |
|
Allergen |
Fetches, saves, and displays (via notepad) allowable allergen values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Allergen column. This list is saved in [APPDATA]\Importer\ALLER.tx |
|
Symptom |
Fetches, saves, and displays (via notepad) allowable Symptom values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Symptom column. This list is saved in [APPDATA]\Importer\SYMP.txt. |
|
Lab_test |
Fetches, saves, and displays (via notepad) allowable lab test values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Lab_test column. This list is saved in [APPDATA]\Importer\LAB.txt. |
|
Note_title |
Fetches, saves, and displays (via notepad) allowable progress note values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Note_title column. This list is saved in [APPDATA]\Importer\NOTE.txt. |
|
Drug_list |
Fetches, saves, and displays (via notepad) allowable medication values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; drug_list column. This list is saved in [APPDATA]\Importer\DRUG.txt. |
|
siglist |
Fetches, saves, and displays (via notepad) allowable schedule/instruction code values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; siglist column. This list is saved in [APPDATA]\Importer\SIG.txt. |
|
Consult |
Fetches, saves, and displays (via notepad) allowable Consult values from the VistA server. This list is used to constrain input entries into the VistA system. In the Data_Entry_Template.xls data input template, the list should match the values in the Tables worksheet; Consult column. This list is saved in [APPDATA]\Importer\CONSULT.txt. |


Media Plug
React-based digital bookshelf. Search and add books to your bookshelf, view stats on your profile, and see what others users are doing in the community. Utilizes React, Material-UI, Auth0, and Heroku
React-based digital bookshelf. Search and add books to your bookshelf, view stats on your profile, and see what others users are doing in the community. Utilizes React, Material-UI, Auth0, and Heroku
Web app designed for i. Write, save, view, and delete notes. Utilizes Javascript, NodeJS, ExpressJS, JSON, and Heroku
Heroku hosted web note taking app. Write, save, view, and delete notes. Utilizes Javascript, NodeJS, ExpressJS, JSON, and Heroku
Get data on COVID-19 for given state and nearby testing locations. Utilizes Web APIs, ChartJS, and Bulma CSS
Search weather conditions for your chosen location. Includes 5-day forecast. Utilizes Web APIs, dynamic HTML generation, and local storage.
Select criteria and create a secure password. Utilizes Javascript, HTML, and Bootstrap CSS.


How much was your bill?
$
How was your service?
Select an amount to tip... 30% - Excellent Service 20% - Good Service 15% - Okay Service 10% - Bad Service 5% - Very Bad Service
How many people are paying the bill?


Cinema business is very poor: D Suresh Babu - Telugu News - IndiaGlitz.com
Speaking to a senior journalist, D Suresh Babu has said that the film business has hit a new low this year. "November and early December are slack seasons. But this year has seen all-time low collections. Across all centres, theatres are not able to pay rents. The economy is poor, OTT platforms like Netflix are making a big impact, and the poor content of films, in general, is also a factor," he analyzes, speaking to TS Sudhir.
As per the producer-distributor, things are really bad like never before. "Many theatres are not able to run shows in a full-fledged way. A sizeable chunk of audience don't want to go to theatres, unless you are talking about spectacles like 'Sye Raa' and 'Saaho'. Cinema has become a weekend business or a holiday business," he comments.
"We have come down to 1750 theatres from 3000 screens in the early 2000s in the united Andhra Pradesh. In every small town, about 50% of theatres have been shut down. Rural women are not going to cinemas," he adds.
He suggested that 'Venky Mama' will hit the screens on December 13.
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Pink ball is swinging a lot: Virat Kohli
17 rebel MLAs can contest in bypolls: SC


Contents
This is a design document describing unit tests for the cmdlib module. Other modules are deliberately omitted, as LU’s contain the most complex logic and are only sparingly tested.
The current test coverage of the cmdlib module is at only ~14%. Given the complexity of the code this is clearly too little.
The reasons for this low coverage are numerous. There are organisational reasons, like no strict requirements for unit tests for each feature. But there are also design and technical reasons, which this design document wants to address. First, it’s not clear which parts of LU’s should be tested by unit tests, i.e. the test boundaries are not clearly defined. And secondly, it’s too hard to actually write unit tests for LU’s. There exists no good framework or set of tools to write easy to understand and concise tests.
This design document consists of two parts. Initially, the test boundaries for cmdlib are laid out, and considerations about writing unit tests are given. Then the test framework is described, together with a rough overview of the individual parts and how they are meant to be used.
For the cmdlib module, every LogicalUnit is seen as a unit for testing. Unit tests for LU’s may only execute the LU but make sure that no side effect (like filesystem access, network access or the like) takes place. Smaller test units (like individual methods) are sensible and will be supported by the test framework. However, they are not the main scope of this document.
LU’s require the following environment to be provided by the test code in order to be executed:
Provides node-management methods and contains
- The configuration. This gives access to the cluster configuration.
- The Ganeti Lock Manager. Manages locks during the execution.
All of those components have to be replaced/adapted by the test framework.
The goal of unit tests at the LU level is to exercise every possible code path in the LU at least once. Shared methods which are used by multiple LU’s should be made testable by themselves and explicit unit tests should be written for them.
Ultimately, the code coverage for the cmdlib module should be higher than 90%. As Python is a dynamic language, a portion of those tests only exists to exercise the code without actually asserting for anything in the test. They merely make sure that no type errors exist and that potential typos etc. are caught at unit test time.
The test framework will it make possible to write short and concise tests for LU’s. In the simplest case, only an opcode has to be provided by the test. The framework will then use default values, like an almost empty configuration with only the master node and no instances.
All aspects of the test environment will be configurable by individual tests.
The MCPU drives the execution of LU’s. It has to perform its usual sequence of actions, but additionally it has to provide easy access to the log output of LU’s. It will contain utility assertion methods on the output.
The mock will be a sub-class of mcpu.Processor which overrides portions of it in order to support the additional functionality. The advantage of being a sub-class of the original processor is the automatic compatibility with the code running in real clusters.
Per default, the mocked configuration will contain only the master node, no instances and default parameters. However, convenience methods for the following use cases will be provided:
- “Shortcut” methods to add objects to the configuration.
- Helper methods to quickly create standard nodes/instances/etc.
- Pre-populated default configurations for standard use-cases (i.e. cluster with three nodes, five instances, etc.).
- Convenience assertion methods for checking the configuration.
Initially, the mocked lock manager always grants all locks. It performs the following tasks:
- It keeps track of requested/released locks.
- Provides utility assertion methods for checking locks (current and already released ones).
In the future, this component might be extended to prevent locks from being granted. This could eventually be used to test optimistic locking.
No actual RPC can be made during unit tests. Therefore, those calls have to be replaced and their results mocked. As this will entail a large portion of work when writing tests, mocking RPC’s will be made as easy as possible. This entails:
- Easy construction of RPC results.
- Easy mocking of RPC calls (also multiple ones of the same type during one LU execution).
- Asserting for RPC calls (including arguments, affected nodes, etc.).
Calls (also multiple ones during the execution of a LU) to the IAllocator interface have to be mocked. The framework will provide, similarly to the RPC mocking, provide means to specify the mocked result and to assert on the IAllocator requests.
With unit tests for cmdlib in place, further unit testing for other modules can and should be added. The test boundaries therefore should be aligned with the boundaries from cmdlib.
The mocked locking module can be extended to allow testing of optimistic locking in LU’s. In this case, on all requested locks are actually granted to the LU, so it has to adapt for this situation correctly.
A higher test coverage for LU’s will increase confidence in our code and tests. Refactorings will be easier to make as more problems are caught during tests.
After a baseline of unit tests is established for cmdlib, efficient testing guidelines could be put in place. For example, new code could be required to not lower the test coverage in cmdlib. Additionally, every bug fix could be required to include a test which triggered the bug before the fix is created.


{% extends 'layout.html' %} {% block pageTitle %} Manage your preferences for breast screening {% endblock %} {% block pageScripts %} {% endblock %} {% block content %}
We may need to send letteres to you. They will be send to the address you are registered with at the GP surgery.


dash.games.settings.ga_tracking_id_help_html
dash.games.settings.ads_help_html
dash.games.settings.comments_help_html
Users can't rate devlog-only games. Enable or disable ratings for when you're ready to transition to early access or a complete game.
dash.games.settings.ratings_help_html
dash.games.settings.save_button


{% extends "faq/base.html" %} {% block title %}{{ block.super }}: Add Question{% endblock %} {% block body %}
Use this form to submit a question (and optionally a corresponding answer) that you would like to see added to the FAQs on this site.
{% endblock %}


Artificial Intelligence (C++ and Qt): Bandits in escape
Data Structure (C): Huffman coding
Computer Graphics (C++ and OpenGL): "Nossa Senhora da Boa Viagem" church
Developer and Researcher
© 2019
Artificial Intelligence (C++ and Qt): Bandits in escape
Data Structure (C): Huffman coding
Computer Graphics (C++ and OpenGL): "Nossa Senhora da Boa Viagem" church


const ( Fatal = 1 Error = 2 Warning = 3 Information = 4 Debug = 5 )
func ActiveFlags()
ActiveFlags append a log message to the header with all flags which are passed as arguments to the program
func Body(log string, path global.Path, verbosity int)
Body append a log message to the right command in the body based on the passed path
func CreateCommandLog(commandsLength int)
func DryRunError(log string, path global.Path)
DryRunError append log message to the body but only if the dryRun Flag is set
func DryRunResult(counter int)
DryRunResult append a log message on the header based on the errorCounter
func Footer(log string, verbosity int)
Footer append a log message to the header
func Header(log string, verbosity int)
Header append a log message to the header
func ModuleError(output string, err error, path global.Path)
ModuleError append a log message to the body with a prettified version of the output and the error
func ModuleInfo(module global.Module, path global.Path)
ModuleInfo append a log message to the body with a prettified version of the module
func ModuleResult(auditStep global.AuditStep, path global.Path)
ModuleResult append a log message to the body with a prettified version of the auditStep
func SetVerbosityLevel(v int)
SetVerbosityLevel Fatal = 1, Error = 2, Warning = 3, Information = 4, Debug = 5
func Shell(command string, cmdStruct string, path *global.Path)
Shell append log message to the body, if verbosity is Debug the log message is with more details
func Summary(summary global.Summary)
Summary append a prettified version of the summary to the footer
func Write(path string)
Write write the debug.log, but it writes only the messages which fulfill the verbosity. If the debug.log is empty the function will delete the debug.log.


#include <BotGoodPushesS.h>
Public Member Functions | |
| virtual const char * | SOLVER_NAME () |
| BotGoodPushesS (Base *base, Level *level, int maxNodeNumber, int maxRamSize, int openTableSize=870967, int closeTableSize=51827, int deadlockedBoxesSearch=2, bool onlyPushNumber=false) | |
| virtual int | g (TreeNode *treeNode, int pushCost) const |
| BotGoodPushesS::BotGoodPushesS | ( | Base * | base, | |
| Level * | level, | |||
| int | maxNodeNumber, | |||
| int | maxRamSize, | |||
| int | openTableSize = 870967 , |
|||
| int | closeTableSize = 51827 , |
|||
| int | deadlockedBoxesSearch = 2 , |
|||
| bool | onlyPushNumber = false | |||
| ) |
Constructor for a solver of a level
| base | main class of the game | |
| level | Level to be used | |
| maxNodeNumber | Limit number of nodes to explore | |
| maxRamSize | Limit max ram size to allocate | |
| openTableSize | size of Open Table to allocate (hashtable) | |
| closeTableSize | size of Close Table to allocate (hashtable) | |
| deadlockedBoxesSearch | number of boxes to use when testing every possible positions of deadlock | |
| onlyPushNumber | only keep number of pushes in Stats object. don't generate solution Path (CPU saving for deadlocks and penalties) |
| virtual const char* BotGoodPushesS::SOLVER_NAME | ( | ) | [inline, virtual] |
Name of this solver
| int BotGoodPushesS::g | ( | TreeNode * | treeNode, | |
| int | pushCost | |||
| ) | const [virtual] |
In this solver, we use f(x)=h(x) and not f(x)=g(x)+h(x) so g(x) must be egal to 0.
| treeNode | to be computed | |
| pushCost | number of pushes from its parent (usefull for macro-pushes) |


Timelines
Flight Tracker relies upon the overnight processes which fetch information from various sources. Also supplemented are data from surveys. Both of these take some time to percolate through the system. While the data are summarized every night, manual curation (i.e., data wrangling) is still required to get everything into the desired shape.
While minimal effort is required to set up this application, some waiting is also required. It is strongly recommended that you start your database at least one month before you need the results. This application helps to collect all of the data necessary for deeper analysis. The answers in analysis come with time and also with good data integrity.
The tasks to set up the database are:
- On day one, entering all the names and email addresses.
- After two weeks, ensuring that surveys are sent out.
- After two weeks, verifying publications in the Publication Wrangler.
- After two weeks, verifying grants and their given categories in the Grant Wrangler.
The tasks to maintain the database are:
- Once a month, verifying new publications in the Publication Wrangler.
- Once a month, verifying new grants and their given categories in the Grant Wrangler.
- Adding new scholars as new individual records when they meet criteria for entry into your database. At Vanderbilt, we begin tracking scholars when they receive their first career development award (internal K, K12, or individual K/K-equivalent). Once you add a new scholar, the processes for gathering grants and publications and sending out the initial survey begin automatically.


The translator above converts back and forth between English and Saurian in real time. Proper nouns should not be translated between languages. Adding a backslash (\) on either side of proper nouns will prevent their translation. Clicking the Detect Proper Nouns buttons will attempt to automatically find and annotate proper nouns.
In the game Star Fox Adventures, Krystal and the natives of Dinosaur Planet speak in a cipher langauge known as Dino Language. In later Star Fox games, Dinosaur Planet would come to be known as Sauria. The term Saurian was chosen as an unofficial term for the fictional language because it is easier to say and the planet's name changed. Watch this video to see an example of Saurian being spoken in the game.
According to the Star Fox Adventures Instruction Manual, page 28, these are the rules of converting between English and Saurian.
The vowels are shifted 2 vowel positions forward when translating to Saurian. A E I O U - English U O A E I - Saurian
The letter M does not change during translation. M - English M - Saurian
Saurian does not have a Y letter, so a zero (0) is used as a placeholder. Y - English 0 - Saurian
The remaining letters are shifted approximately 12 positions forward. B C D F G H J K L N P Q R S T V W X Z - English R S T V W X Z B C D F G H J K L N P Q - Saurian
For more information about the Saurian language, and the tools, techniques, and code for this site, please visit the Github Repository.
© 2018 Krystal Archive


{% extends "base.html" %} {% import "test_status.html" as test_status %} {% import "test_description.html" as test_description %} {% import "test_result.html" as test_result %} {% block content %}
This service can test a SAML Identity Providers (IdP) entity category compliance.
To get started upload the metadata of the IdP. Then start testing by following the instructions below.
An overview of test results from previously tested IdP's is available here
To start a test click on the run test button on the row of the test you would like to run. If you want to start all tests click on the Run all test button above the test list. You will be prompted to choose which IdP to use before the test begins.
If you want more information about a test or the response generated by a test click anywhere on the row of the test.


Qt Quick Examples - Threading
Threading is a collection of QML multithreading examples.
Running the Example
To run the example from Qt Creator, open the Welcome mode and select the example from Examples. For more information, visit Building and Running an Example.
Threaded ListModel
Threaded ListModel contains a ListView and a ListModel. The ListModel object is updated asynchronously in another thread, and the results propagate back to the main thread. A timer requests updates from the worker thread periodically:
Timer { id: timer interval: 2000; repeat: true running: true triggeredOnStart: true onTriggered: { var msg = {'action': 'appendCurrentTime', 'model': listModel}; worker.sendMessage(msg); } }
Inside the worker thread, the ListModel is synchronized once the data is finished loading:
WorkerScript.onMessage = function(msg) { if (msg.action == 'appendCurrentTime') { var data = {'time': new Date().toTimeString()}; msg.model.append(data); msg.model.sync(); // updates the changes to the list } }
WorkerScript
WorkerScript contains an example of using a WorkerScript to offload expensive calculations into another thread. This keeps the UI from being blocked. This example calculates numbers in Pascal's Triangle, and not in a very optimal way, so it will often take several seconds to complete the calculation. By doing this in a WorkerScript in another thread, the UI is not blocked during this time.
When the UI needs another value, a request is sent to the WorkerScript:
Spinner { id: rowSpinner label: "Row" onValueChanged: { resultText.text = "Loading..."; myWorker.sendMessage( { row: rowSpinner.value, column: columnSpinner.value } ); } }
The workerscript then is free to take a really long time to calculate it:
WorkerScript.onMessage = function(message) { //Calculate result (may take a while, using a naive algorithm) var calculatedResult = triangle(message.row, message.column); //Send result back to main thread WorkerScript.sendMessage( { row: message.row, column: message.column, result: calculatedResult} ); }
When it's done, the result returns to the main scene via the WorkerScript type:
WorkerScript { id: myWorker source: "workerscript.js" onMessage: { if (messageObject.row == rowSpinner.value && messageObject.column == columnSpinner.value){ //Not an old result if (messageObject.result == -1) resultText.text = "Column must be <= Row"; else resultText.text = messageObject.result; } } }
Files:
- threading/threading.qml
- threading/threadedlistmodel/dataloader.js
- threading/threadedlistmodel/timedisplay.qml
- threading/workerscript/Spinner.qml
- threading/workerscript/workerscript.js
- threading/workerscript/workerscript.qml
- threading/main.cpp
- threading/threading.pro
- threading/threading.qmlproject
- threading/threading.qrc
- threading/threadedlistmodel/threadedlistmodel.qmlproject
- threading/workerscript/workerscript.qmlproject


filesystems - Linux filesystem types: ext, ext2, ext3, ext4, hpfs, iso9660, JFS,
minix, msdos, ncpfs nfs, ntfs, proc, Reiserfs, smb, sysv, umsdos, vfat, XFS,
xiafs,
When, as is customary, the proc filesystem is mounted on /proc,
you can find in the file /proc/filesystems which filesystems your
kernel currently supports; see proc(5) for more details. There is also
a legacy sysfs(2) system call (whose availability is controlled by the
CONFIG_SYSFS_SYSCALL kernel build configuration option since Linux
3.15) that enables enumeration of the currently available filesystem types
regardless of /proc availability and/or sanity.
If you need a currently unsupported filesystem, insert the
corresponding kernel module or recompile the kernel.
In order to use a filesystem, you have to mount it; see
mount(2) and mount(8).
iThe following list provides a short description of the available
or historically available filesystems in the Linux kernel. See the kernel
documentation for a comprehensive description of all options and
limitations.
- ext
- is an elaborate extension of the minix filesystem. It has been
completely superseded by the second version of the extended filesystem
(ext2) and has been removed from the kernel (in 2.1.21).
- ext2
- is the high performance disk filesystem used by Linux for fixed disks as
well as removable media. The second extended filesystem was designed as an
extension of the extended filesystem (ext). See
ext2(5).
- ext3
- is a journaling version of the ext2 filesystem. It is easy to
switch back and forth between ext2 and ext3. See
ext3(5).
- ext4
- is a set of upgrades to ext3 including substantial performance and
reliability enhancements, plus large increases in volume, file, and
directory size limits. See ext4(5).
- hpfs
- is the High Performance Filesystem, used in OS/2. This filesystem is
read-only under Linux due to the lack of available documentation.
- iso9660
- is a CD-ROM filesystem type conforming to the ISO 9660 standard.
- High Sierra
- Linux supports High Sierra, the precursor to the ISO 9660 standard for
CD-ROM filesystems. It is automatically recognized within the
iso9660 filesystem support under Linux.
- Rock Ridge
- Linux also supports the System Use Sharing Protocol records specified by
the Rock Ridge Interchange Protocol. They are used to further describe the
files in the iso9660 filesystem to a UNIX host, and provide
information such as long filenames, UID/GID, POSIX permissions, and
devices. It is automatically recognized within the iso9660
filesystem support under Linux.
- JFS
- is a journaling filesystem, developed by IBM, that was integrated into
Linux in kernel 2.4.24.
- minix
- is the filesystem used in the Minix operating system, the first to run
under Linux. It has a number of shortcomings, including a 64 MB
partition size limit, short filenames, and a single timestamp. It remains
useful for floppies and RAM disks.
- msdos
- is the filesystem used by DOS, Windows, and some OS/2 computers.
msdos filenames can be no longer than 8 characters, followed by an
optional period and 3 character extension.
- ncpfs
- is a network filesystem that supports the NCP protocol, used by Novell
NetWare.
- To use ncpfs, you need special programs, which can be found at
ftp://linux01.gwdg.de/pub/ncpfs.
- nfs
- is the network filesystem used to access disks located on remote
computers.
- ntfs
- replaces Microsoft Window's FAT filesystems (VFAT, FAT32). It has
reliability, performance, and space-utilization enhancements plus features
like ACLs, journaling, encryption, and so on.
- proc
- is a pseudo filesystem which is used as an interface to kernel data
structures rather than reading and interpreting /dev/kmem. In
particular, its files do not take disk space. See proc(5).
- Reiserfs
- is a journaling filesystem, designed by Hans Reiser, that was integrated
into Linux in kernel 2.4.1.
- smb
- is a network filesystem that supports the SMB protocol, used by Windows
for Workgroups, Windows NT, and Lan Manager. See
https://www.samba.org/samba/smbfs/.
- sysv
- is an implementation of the SystemV/Coherent filesystem for Linux. It
implements all of Xenix FS, SystemV/386 FS, and Coherent FS.
- umsdos
- is an extended DOS filesystem used by Linux. It adds capability for long
filenames, UID/GID, POSIX permissions, and special files (devices, named
pipes, etc.) under the DOS filesystem, without sacrificing compatibility
with DOS.
- tmpfs
- is a filesystem whose contents reside in virtual memory. Since the files
on such filesystems typically reside in RAM, file access is extremely
fast. See tmpfs(5).
- vfat
- is an extended FAT filesystem used by Microsoft Windows95 and Windows NT.
vfat adds the capability to use long filenames under the MSDOS
filesystem.
- XFS
- is a journaling filesystem, developed by SGI, that was integrated into
Linux in kernel 2.4.20.
- xiafs
- was designed and implemented to be a stable, safe filesystem by extending
the Minix filesystem code. It provides the basic most requested features
without undue complexity. The xiafs filesystem is no longer
actively developed or maintained. It was removed from the kernel in
2.1.21.
fuse(4), btrfs(5), ext2(5), ext3(5), ext4(5),
nfs(5), proc(5), tmpfs(5), fsck(8),
mkfs(8), mount(8)
This page is part of release 5.05 of the Linux man-pages project. A
description of the project, information about reporting bugs, and the latest
version of this page, can be found at https://www.kernel.org/doc/man-pages/.


Webpeep
A pluggable auralizer for the web. Turn any data source into a soundscape.
Now listening to: Hacker News
View on GitHub
Download .zip
Download .tar.gz
created by
jhurliman


[1]
Nice clean and Bathrooms were also very nice.
[2]
There is virtually no counterspace in the room.


WDV101 Intro HTML and CSS
Welcome to Carly's Home Page!
Assignments:
Unit 1: Introduction to HTML
Lesson 1 Create your index page
Wind Engery Web Page


This action cannot be undone.


JSConf AU 2014
April 10th. Melbourne, Australia
Info
Speakers
Tickets
Sponsor
Speaker lineup
Talk stats
1up
bio


Dealing a Poker Hand in Ruby
July 23.2014
In this piece, I'm going to run through a short Ruby program I wrote to deal a hand of poker. I will discuss classes and instance variables, among other concepts. Let's take it step by step.
First, we must define a new class PokerHandas a blueprint to contain our methods and characterisics pertaining to a hand of poker. The first method in a new class is always going to be #initialize. When you create a new instance of the class PokerHand (i.e. an individual hand), you call #newon the class, which automatically looks for and executes #initializewithin the class definition. Let's do that now.
hand1=PokerHand.new(5)
=> There are 5 players.
We put a 5as the argument when creating the new class, which is interpreted by #initializeas the number of players in our game. Behind the scenes, #initializealso created a deck of cards, shuffled them, and dealt two to each player! I know, you want to see what you were dealt, right? Let's write another method to access the array value of the :herohash key.
hand1.hero_hand
=> Your hand is ["6c", "6s"]
Not bad, pocket 6's! See the '@' attached to our @playershash variable? That makes it an instance variable that our program can access across methods in our new PokerHand class, so long as it pertains to the same instance (i.e. hand1). Let's skip the betting for now and see a flop!
hand1.flop
=> Flop: ["Ac", "3s", "Jc"]
Probably not the flop we wanted to see, but our program is working! Let's write one more method to see our opponent's hands.
hand1.villain_hand(:two)
=> private method 'villain_hand' called for #(PokerHand:0x2c92248) (NoMethodError)
Not so fast! I told Ruby that #villain_handis private. This means that only our program can access this method and see player two's hand (or any of our opponent's hands, for that matter). We might have our program call this private method later on when we extend it to find out who wins, but that's for another day.


Type library Library crossinstall.* Revision Current Public Release (2013.2076) Keywords CrossInstall Sample code See also Availability Starter, Pro, Enterprise
ads.show() will display a CrossInstall ad at the given screen location as either a banner ad or a fullscreen interstitial, depending on the values specified.
ads.show( adUnitType , placement, params )
String. Either "banner" or "interstitial". An "interstitial" ad will display on the full screen along with an "X" button for the user to close the ad. A "banner" ad will display the ad you requested at the position you provide.
String. You may provide a custom placement string that defines where you are placing the ad in your app. This will show up in your revenue reporting and is also used in the optimization engine.
Table. Specify ad placement and size parameters. See Parameter Table Properties below.
The params
table contains the following properties:
Number. x position where you would like the banner ad placed.
Number. y position where you would like the banner ad placed.
Number. Width of the banner ad you would like to display. Currently supported dimensions are: 180x300, 320x480, 300x300, 640x960, 300x250, 300x50, 320x50, 480x320, 960x640.
Number. Height of the banner ad you would like to display. Currently supported dimensions are: 180x300, 320x480, 300x300, 640x960, 300x250, 300x50, 320x50, 480x320, 960x640.
Number. An optional timeout value, in seconds, at which the CrossInstall ad will give up on trying to pull in an ad to display to your user. Defaults to 10 seconds.
local ads = require "ads"
local function adListener( event )
-- event table includes:
-- event.provider
-- event.isError (e.g. true/false )
-- event.response (e.g. "Success"/<errorMessage>/"Fullscreen closed")
if event.isError then
-- handle failed ad loading
else
-- optionally handle interstitial closing, etc
end
end
ads.init( "crossinstall", "your crossinstall app id, like AbCd", adListener )
-- to display a 320x50 banner ad at the bottom of the screen:
ads.show( "banner", "my placement name", { x=0, y=430, w=320, h=50, timeout=15 } )
-- to display a fullscreen interstital ad:
ads.show( "fullscreen", "my placement name", {timeout=15} )


A final segment in our first holidays abroad... Three Kings Day https://travel.jasonrclark.com/first-holidays-abroad-three-kings/
4/4/2019, 1:10:58 PM
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link--- layout: tweet ---
A final segment in our first holidays abroad... Three Kings Day https://travel.jasonrclark.com/first-holidays-abroad-three-kings/
4/4/2019, 1:10:58 PM
Favs: 1
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link


So I searched and searched and couldn't find how to do a sprintf in Python. There seemed to be no such routine name. In fact, there’s not! But I was staring right at it. It's simply the % operator, overloaded for strings. Examples:
#!/usr/bin/python -Wall # ================================================================ # John Kerl #<EMAIL_ADDRESS># 2007-05-15 # ================================================================ print "Here %s the number: %d" % ("is", 37) s = "Here %s the number: %d" % ("is", 37) print s


Using Kaggle data about the unlucky passengers of RMS Titanic, we'll try to investigate what factors might be related to survival of some of the passengers. We'll first import necessary packages, read the data, and verify the data is read.
# importing all necessary packages and functions.
import csv
from datetime import datetime
import numpy as np
import pandas as pd
from IPython.display import display
import matplotlib.pyplot as plt
%matplotlib inline
# kernel option to see value of multiple statements
from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = "all"
# reading data from csv file
titanic_raw = pd.read_csv('titanic-data.csv')
# verifying that data is read
print "Number of passengers= " + str(len(titanic_raw.Name.unique()))
titanic_raw.head()
print "..."
titanic_raw.tail()
# summarizing data
print "\nSummary of raw data"
titanic_raw.describe()
We'll approach this question by treating Survived column as a dependent variable, and investigate variables Pclass, Sex, and Age variables to see if there are any correlations between them and Survived variable.
Let's first remove the columns we will not focus on, and check if there are any missing data points.
# using drop to remove columns
titanic = titanic_raw.drop(titanic_raw.columns[[0,3,6,7,8,9,10,11]], axis=1)
print "\nColumns (variables) we will focus:"
titanic.head()
# counting NaN values to see if there is any missing data
titanic.isnull().sum(axis=0)
We have missing values in Age column. We can drop these values if this will not create a bias, but for example what if almost all the values dropped are of passengers with a specific characteristic that changed their survival rate? It would probably damage our model. So these are the questions to be answered:
We first look at Age variable in itself.
# creating an age histogram
titanic.plot.hist(y=["Age"], title="Histogram of passenger ages", bins=40)
titanic.plot.box(y=["Age"], title="Boxplot of passenger ages", vert=False)
titanic["Age"].describe()
We don't see any incredible nature in Age variable. One interesting thing is low ratio of children compared to the ratio in an arbitrary population. We can assume this might be attributed to the fact that a long voyage in a cruise is not feasible for children (they neither would get permission to go alone nor would raise enough money by themselves).
Let's look at the rows with missing Age data. For this purpose we will define a new data frame and remove the Age column as they will be NaN values. Then we will try to see if there is any pattern in Pclass, Sex or Survived paramaters that differs from main dataset.
# defining a new dataframe
titanic_nan = titanic[pd.isnull(titanic['Age'])]
# dropping Age column (all NaN)
titanic_nan = titanic_nan.drop(titanic_nan.columns[3], axis=1)
# looking at the difference in distribution of Pclass in different Survived categories
pd.crosstab(titanic["Pclass"], titanic["Survived"], normalize = "columns")
pd.crosstab(titanic_nan["Pclass"], titanic_nan["Survived"], normalize = "columns")
We see the only considerable difference is that passengers without an Age value are more dominantly 3rd class passengers than they are in whole dataset, presumably due to lack of ID or self-knowledge.
# looking at the difference in distribution of Survived in different Pclass categories
pd.crosstab(titanic["Pclass"], titanic["Survived"], normalize = "index")
pd.crosstab(titanic_nan["Pclass"], titanic_nan["Survived"], normalize = "index")
We see that while it is almost the same in 3rd class, in 1st and 2nd classes Survival Rate drops in the passengers without an Age value. We take note of this.
# looking at the difference in distribution of Sex in different Survived categories
pd.crosstab(titanic["Sex"], titanic["Survived"], normalize = "columns")
pd.crosstab(titanic_nan["Sex"], titanic_nan["Survived"], normalize = "columns")
It can be said that the difference is negligible.
# looking at the difference in distribution of Survived in different Sex categories
pd.crosstab(titanic["Sex"], titanic["Survived"], normalize = "index")
pd.crosstab(titanic_nan["Sex"], titanic_nan["Survived"], normalize = "index")
We see that for both males and females, survival rate is higher in passengers without an Age value.
Having analyzed the difference between the complete passenger data and data of passengers without an Age value, only significant difference is that passengers without an Age value have a higher survival rate, regardless of their Sex, but only in 1st and 2nd classes. Could it be due to relatively small sample size (30 in 1st class and 11 in 2nd class)? Or does it point at an information like "Passengers not having an ID had less chances for survival"? We don't know yet.
For our purposes, we will ignore the missing values in Age variable as we still have 714 data point when we include it in a particular analysis, and 891 when we don't. We will accept that missing Age values do not affect the relationship of Age, Pclass or Sex variable with the dependent variable Survived; with the disclaimer that the effect not having an Age does have on Survived variable must be analyzed further.
Also, we'll separate the Age variable to groups and create a variable called Age_Grouped as it will not be demonstrative to use Age as it is.
# creating age groups
age_groups = [0, 6, 12, 18, 65, 100]
age_group_names = ['0-6', '6-12', '12-18', '18-65', '65+']
titanic["Age_Grouped"] = pd.cut(titanic["Age"], age_groups, labels=age_group_names)
We'll first create one-way frequency tables to get an initial idea of what might be correlated with Survived variable.
# creating one-way frequency tables
pd.crosstab(titanic["Pclass"], titanic["Survived"], margins = True)
print "Passengers according to their Ticket class\n"
pd.crosstab(titanic["Sex"], titanic["Survived"], margins = True)
print "Passengers according to their Sex\n"
pd.crosstab(titanic["Age_Grouped"], titanic["Survived"], margins = True)
print "Passengers according to their Age\n"
What are the initial thoughts here? Looking at Pclass variable, we see that 63% of 1st class passengers survived, while it is 47% in 2nd class. Finally in 3rd class we see that only 24% of passengers survived.
Looking at passengers' Sex, survival rate drops from 74% in women to 19% in men.
In Age_Grouped variable, we see that for most groups survival ratio is close. Only in age group 0-6 survival increases, and we note this down. While it also seems to drop in 65+ age group, it might be said 8 data points are too few to draw conclusions.
We'll now focus on Pclass and Sex variables with a two-way frequency table to see if we can draw further findings from survival ratio.
# two-way frequency table for Sex and Pclass variables
pd.crosstab((titanic["Sex"], titanic["Pclass"]), titanic["Survived"], margins = True)
print "Passengers according to their Sex and Pclass\n"
# normalizing each row for easier analysis
pd.crosstab((titanic["Sex"], titanic["Pclass"]), titanic["Survived"], normalize = 'index')
print "Sex and Pclass data given as share of each row"
As we go from 1st class to 3rd class, we see that survival ratio falls from 97% to 50% in women and from 37% to 14% in men. Remembering that 0-6 aged children survived more, while it might be true that "Women and children first" mostly applied; socioeconomic status also was related to survival rate of passengers. Why is that? Why passengers from 3rd class had a lower survival rate? Is it because 1st and 2nd class consist more women and children than in 3rd class? Or the Class has an independent correlation with Survived?
pd.crosstab(titanic["Pclass"], titanic["Sex"], normalize = 'index')
We indeed see that ratio of women is higher in 1st and 2nd class than 3rd class. We also see ratio of women follows the opposite trend. This suggests that the independent paramaters that we presumed, namely Pclass and Sex, may actually be correlated - this might be a point to further investigate.
Lastly, even though it is out of our scope, we check the Cabin parameter to see if 3rd class passengers had an inherent disadvantage to reach the upmost deck where they could disembark.
# checking the distribution of passengers to cabins
titanic_cabin = titanic_raw.drop(titanic_raw.columns[[0,1,3,4,5,6,7,8,9,11]], axis=1)
titanic_cabin['Cabinned'] = titanic_cabin['Cabin'].str[:1]
pd.crosstab(titanic_cabin["Pclass"], titanic_cabin["Cabinned"], margins = True)
Even though a great number of data points are missing, we see the general trend shows that going from A to G in Cabin means a higher Pclass value (lower socioeconomic status).
Now we check the layout of Titanic, and we see that going from A to G means that a passenger is located lower in Titanic, which probably decrease the chances of survival.
# checking the actual layout of Titanic
from IPython.display import Image
Image(filename='titanic.jpg')
Our limited analysis shows that females survived in a higher ratio regarding Sex variable. Furthermore, we had already noted 0-6 aged children had a higher survival rate.
Higher percentage of women in 1st and 2nd class, and higher distance from 3rd class cabins to upper deck might have caused the lower survival rate of 3rd class passengers.
At this point, we must note that correlation does not imply causation. For instance, 0-6 age children might have a higher survival rate just because their mothers or nannies had a higher survival rate, which affected them too (For further analysis Parch variable might be investigated). This means Age might not have any statistically significant relation to Survived. If we want to create hypotheses to test, we might say that a passenger had a higher chance of survival if she is a female or that passenger is travelling 1st class. Our intuition also suggests these hypotheses would be correct, but we must rely on statistics and data analysis rather than intuition.
https://www.kaggle.com/c/titanic/data
https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/
https://stackoverflow.com/questions/41906199/how-to-make-a-new-line-in-a-jupyter-markdown-cell
https://stackoverflow.com/questions/13411544/delete-column-from-pandas-dataframe
https://stackoverflow.com/questions/30059260/python-pandas-counting-the-number-of-missing-nan-in-each-row
https://chrisalbon.com/python/pandas_crosstabs.html
https://chrisalbon.com/python/pandas_binning_data.html
https://stackoverflow.com/questions/14247586/python-pandas-how-to-select-rows-with-one-or-more-nulls-from-a-dataframe-without
https://pandas.pydata.org/pandas-docs/stable/visualization.html
https://s-media-cache-ak0.pinimg.com/originals/7a/e4/75/7ae475e74a634a502a3ff9f7daf17d6d.jpg


A simple contextmenu: Click the button, or tab to it and hit space to open the menu. Use the mouse or cursor keys to select an item, click it or hit enter to select it.
The keyboard handling is part of the menu. Using the input option to menu is configured to add the key event handlers to the button, as that button gets focused when clicked.


|
| | Meas (double const d=0.) |
| |
| | Meas (uncun u, string id="", boost::posix_time::ptime ti=(boost::posix_time::not_a_date_time), int o=-1) |
| |
| | Meas (const Meas &) |
| |
| | ~Meas () |
| |
| Meas & | operator= (const Meas &rhs) |
| | Assignment operator. More...
|
| |
| Meas & | abs (const Meas &rhs) |
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| Meas & | abs (Meas &rhs) |
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| bool | operator== (const Meas &p) const |
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| bool | operator!= (const Meas &p) const |
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| bool | operator< (const Meas &rhs) const |
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| bool | operator> (const Meas &rhs) const |
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| Meas | operator+ (const Meas &) const |
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| Meas | operator- (void) const |
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| Meas | operator- (void) |
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| double | value () |
| | encoded as a bitmap 16 bits, 0 to 15 See enum unc_types, More...
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| float | std_dev () |
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| unsigned short int | deg_free () |
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| unsigned short int | types () |
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| void | value (double value) |
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| void | std_dev (float unc) |
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| void | deg_free (short unsigned int df) |
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| void | setUncTypes (short unsigned int type) |
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| void | types (short unsigned int type) |
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| | unc (const double val, const float unc=0.0f, const short unsigned int df=1, const short unsigned int uncTypeFlags=UNC_KNOWN|UNC_EXPLICIT|DEG_FREE_EXACT|DEG_FREE_KNOWN) |
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| | unc (const int ivalue=0, const float unc=0.0f, const short unsigned int df=1, const short unsigned int uncTypeFlags=DEG_FREE_DEF|VALUE_INTEGER|VALUE_RATIONAL|UNC_NOPLUS|UNC_NOMINUS|UNC_KNOWN) |
| | < Constructor from integer value. More...
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| | unc (const unc &ud) |
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| unc< is_correlated > | operator+ (void) const |
| | Destructors. Two versions defined in unc.ipp to provide diagnostic output. More...
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| unc< is_correlated > | operator- (void) const |
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| unc< is_correlated > | operator++ (void) |
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| unc< is_correlated > | operator-- (void) |
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| unc< is_correlated > | operator++ (int) |
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| unc< is_correlated > | operator-- (int) |
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| unc< is_correlated > & | operator+= (const unc< is_correlated > &ud) |
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| | operator value_type () const |
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| unc< is_correlated > & | operator+= (const double &a) |
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| unc< is_correlated > & | operator-= (const unc< is_correlated > &ud) |
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| unc< is_correlated > & | operator-= (const double &a) |
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| unc< is_correlated > & | operator*= (const unc< is_correlated > &ud) |
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| unc< is_correlated > & | operator*= (const double &a) |
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| unc< is_correlated > & | operator/= (const unc< is_correlated > &ud) |
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| unc< is_correlated > & | operator/= (const double &a) |
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| bool | operator== (const unc< is_correlated > &x) const |
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| bool | operator!= (const unc< is_correlated > &x) const |
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| bool | operator< (const unc< is_correlated > &x) const |
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| double | mean (void) const |
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| float | deviation (void) const |
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| unsigned short int | degFree (void) const |
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| unsigned short int | uncFlags (void) const |
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| static bool | less (const Meas &l, const Meas &r) |
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| static bool | lessU (const Meas &l, const Meas &r) |
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| static bool | less2U (const Meas &l, const Meas &r) |
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| static bool | precedes (const Meas &l, const Meas &r) |
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| static bool | earlier (const Meas &l, const Meas &r) |
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| static bool | greaterU (const Meas &l, const Meas &r) |
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| static bool | greater2U (const Meas &l, const Meas &r) |
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| static bool | equal_toUnc (const Meas &l, const Meas &r) |
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| static bool | lessAbsM (const Meas &l, const Meas &r) |
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| static bool | lessU (const unc< is_correlated > &l, const unc< is_correlated > &r) |
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| static bool | lessU2 (const unc< is_correlated > &l, const unc< is_correlated > &r) |
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| static bool | moreU (const unc< is_correlated > &l, const unc< is_correlated > &r) |
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| static bool | equalU (const unc< is_correlated > &l, const unc< is_correlated > &r) |
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| static bool | equalU2 (const unc< is_correlated > &l, const unc< is_correlated > &r) |
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Measured uncertain value AND its id and order and/or time-date stamp.
Definition at line 32 of file meas.hpp.


Angela Taylor, 53, and Paul Cannon, 54, killed wealthy farmer William Taylor, fuelled by a "venomous hatred" of him and his refusal to grant his wife of 20 years a divorce.
For months, the couple had secretly revelled in violently pornographic fantasies of torturing and maiming the landowner, who vanished just days before his 70th birthday last June.
Passing sentence at a packed St Albans Crown Court on Friday at the end of a two-month trial, judge Michael Kay QC said: "Only Paul Cannon and Angela Taylor and perhaps an unknown accomplice know what happened that night.
"The evidence suggests that having been lured out of his house, William Taylor was attacked in the farmyard and killed there by means of strangulation or suffocation.
"(William Taylor) loved Angela Taylor to the end despite whatever she did to him and however much she did not deserve that love."
He said the "primary reason" for the killing "may be simply the extent to which Angela Taylor in particular loathed the very sight of William Taylor and felt she could never be rid of him."
Mr Taylor's skeletal remains were found waist-deep in mud on a secluded riverbank near one of his farms in Gosmore, Hertfordshire, in February - eight months after he was last seen alive.
The jury of eight women and four men convicted Taylor and digger driver Cannon on Monday after little more than 11 hours of deliberations. Despite a lack of forensic evidence, jurors found them guilty after hearing evidence of lurid WhatsApp messages, which included fantasies of showering together as Mr Taylor's blood ran down the drain and cutting his ligaments and fingers off.
The pair had exchanged 28,000 messages between February and June last year, believing they were safe and could not be accessed.
But they were later found by police on the memory of Cannon's phone despite being deleted by the farm labourer.
St Albans Crown Court heard Cannon wrote on WhatsApp: "You know what I'd like to do ... make love to you on his kitchen table ... with him tied to a chair so he had to watch!!!!!!! Then send him to hell."

A message from Cannon said he planned to "torture the c****... nail their feet to the scaffolding", though it was not specified who this was about.
Taylor said the hundreds of texts were "rubbish chat" used to vent about people in her and Cannon's lives.
Jurors were also told of a message sent by Taylor where she said she wanted to "get shot" of Mr Taylor.
She told the court: "It was just a phrase you say when you want to get someone out of your life, I don't mean actually shooting someone."
In other messages heard in court, Cannon said he would "sort out Bill first, frighten the life out of him" weeks before his disappearance.
"Good," Taylor replied at the time.


| Finite Geometry
Notes
|
Spaces as Hypercubes
For
further
details on the square space,
see Vertex
Adjacency in a Tesseract and in a 4×4 Array.
For
further
details on the cubic space,
see Geometry of the 4×4×4 Cube.
Page created November 3, 2012, by Steven H. Cullinane


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