“Give a minnow an upvote and they’ll eat for a day. Give a minnow a resteem and they’ll eat forever.”
Ancient Steemit Proverb
Hello Minnows!
I recently hit 1,000 followers and broke into the top 125 authors on Steemit. It had a lot to do with @kaylinart and @fyrstikken resteeming one of my posts.
it got me thinking…
https://steemitimages.com/0x0/https://steemitimages.com/0x0/https://media3.giphy.com/media/d3mlE7uhX8KFgEmY/giphy.gif?response_id=59246ba32717ea315c1e6153
What if I could help my followers like @kaylinart and @fyrstikken helped me!?! It’s pretty easy to do. All I have to do is resteem my followers! What if I could get them a reward too!?! And the Minnow Support Project was born!
What are the rules?
For every 100 upvotes I’ll resteem a follower’s post
To be able to get a resteem simply link your post (or a referral if you want) in the comments section. Make sure there are at least 3 days left on the post rewards because I’m not going to resteem until Thursday.
The first resteem is the post that gets the most upvotes.
The second resteem is the post I think is best based on a criteria of promoting Peace, Abundance, and Liberty.
Third and up are based on upvotes as well.
Getting upvoted by bots doesn’t count.
What counts as a minnow?
If you have less than 500 followers and less than 5,000SP at the time you post then you’re a minnow that’s eligible for the resteem and the reward!
Who won last week’s contest?”
Find the contest here: https://steemit.com/minnowsupportproject/@aggroed/minnow-support-project-weekly-minnow-resteem-liquid-post-rewards-to-contest-winners
Two great stories about growing the community!
First Place comes from @timoshey on exploring Ibadan in Nigeria on Children’s Day- https://steemit.com/story/@timoshey/my-children-s-day-experience-an-eye-opener
Second place goes to @swolesome thoughts on introducing new people to the steemit family https://steemit.com/steemdev/@swolesome/ned-has-spoken-promoting-steem-through-card-tournaments-and-basketball
I have a few extra resteems I’ll do throughout the day!
Here are some notable resteems I’ll do to help out as well!
Helping with some STEEMIT TIPS we have @nomad88 https://steemit.com/steemit/@nomad88/steemit-a-marathon-not-a-sprint
Thoughts on the market from @lighteye https://steemit.com/bitcoin/@lighteye/bitcoin-of-coins-and-bubbles
Detailing a sharp increase in autism in South Korea we have @tremendospercy- https://steemit.com/health/@tremendospercy/autism-rates-in-the-usa-are-frightening-however-south-korean-numbers-are-worse-where-is-the-outrage
I want to help @theprophet0
So, he’s the youngest Steemer we have on the witness list. He’s a minnow. He wants to go to STEEMFEST. I think he’s a great candidate to support! So, I recently announced a $200 SBD gift to the travel fund. I’m going to ask that it goes to @theprophet0. He’s putting out a crowd funding campaign so I’m including that here too. So, check him out and help him out.
Sweet Gifs!
This one comes from @liberty-minded
Please support my witness campaign. There are 8 dead witness accounts above mine. I promise to do a better job than them. Please support my witness campaign. You can click the link under my profile pic and enter my name below the list of 50.
This page is synchronized from the post: ‘Minnow Support Project- This week’’s winners build community! A new animated GIF to share!’


--- layout: post title: "Statistical modeling summarization" date: 2017-11-16 comments: true archive: false tags: statistical-models excerpt: Summarization of statistical models by Vincent Granville blogpost ---
Spatial dependency is the co-variation of properties within geographic space: characteristics at proximal locations appear to be correlated, either positively or negatively. Spatial dependency leads to the spatial auto-correlation problem in statistics since, like temporal auto-correlation, this violates standard statistical techniques that assume independence among observations
Methods for time series analyses may be divided into two classes: frequency-domain methods and time-domain methods. The former include spectral analysis and recently wavelet analysis; the latter include auto-correlation and cross-correlation analysis. In time domain, correlation analyses can be made in a filter-like manner using scaled correlation, thereby mitigating the need to operate in frequency domain. Additionally, time series analysis techniques may be divided into parametric and non-parametric methods. The parametric approaches assume that the underlying stationary stochastic process has a certain structure which can be described using a small number of parameters (for example, using an autoregressive or moving average model). In these approaches, the task is to estimate the parameters of the model that describes the stochastic process. By contrast, non-parametric approaches explicitly estimate the covariance or the spectrum of the process without assuming that the process has any particular structure. Methods of time series analysis may also be divided into linear and non-linear, and univariate and multivariate.
Survival analysis is a branch of statistics for analyzing the expected duration of time until one or more events happen, such as death in biological organisms and failure in mechanical systems. This topic is called reliability theory or reliability analysis in engineering, duration analysis or duration modelling in economics, and event history analysis in sociology. Survival analysis attempts to answer questions such as: what is the proportion of a population which will survive past a certain time? Of those that survive, at what rate will they die or fail? Can multiple causes of death or failure be taken into account? How do particular circumstances or characteristics increase or decrease the probability of survival? Survival models are used by actuaries and statisticians, but also by marketers designing churn and user retention models. Survival models are also used to predict time-to-event (time from becoming radicalized to turning into a terrorist, or time between when a gun is purchased and when it is used in a murder), or to model and predict decay (see section 4 in this article).
Market segmentation, also called customer profiling, is a marketing strategy which involves dividing a broad target market into subsets of consumers,businesses, or countries that have, or are perceived to have, common needs, interests, and priorities, and then designing and implementing strategies to target them. Market segmentation strategies are generally used to identify and further define the target customers, and provide supporting data for marketing plan elements such as positioning to achieve certain marketing plan objectives. Businesses may develop product differentiation strategies, or an undifferentiated approach, involving specific products or product lines depending on the specific demand and attributes of the target segment.
Recommender systems or recommendation systems (sometimes replacing "system" with a synonym such as platform or engine) are a subclass of information filtering system that seek to predict the 'rating' or 'preference' that a user would give to an item.
Association rule learning is a method for discovering interesting relations between variables in large databases. For example, the rule { onions, potatoes } ==> { burger } found in the sales data of a supermarket would indicate that if a customer buys onions and potatoes together, they are likely to also buy hamburger meat. In fraud detection, association rules are used to detect patterns associated with fraud. Linkage analysis is performed to identify additional fraud cases: if credit card transaction from user A was used to make a fraudulent purchase at store B, by analyzing all transactions from store B, we might find another user C with fraudulent activity.
An attribution model is the rule, or set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths. For example, the Last Interaction model in Google Analytics assigns 100% credit to the final touchpoints (i.e., clicks) that immediately precede sales or conversions. Macro-economic models use long-term, aggregated historical data to assign, for each sale or conversion, an attribution weight to a number of channels. These models are also used for advertising mix optimization.
Scoring model is a special kind of predictive models. Predictive models can predict defaulting on loan payments, risk of accident, client churn or attrition, or chance of buying a good. Scoring models typically use a logarithmic scale (each additional 50 points in your score reducing the risk of defaulting by 50%), and are based on logistic regression and decision trees, or a combination of multiple algorithms. Scoring technology is typically applied to transactional data, sometimes in real time (credit card fraud detection, click fraud).
Predictive modeling leverages statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. They may also used for weather forecasting, to predict stock market prices, or to predict sales, incorporating time series or spatial models. Neural networks, linear regression, decision trees and naive Bayes are some of the techniques used for predictive modeling. They are associated with creating a training set, cross-validation, and model fitting and selection. Some predictive systems do not use statistical models, but are data-driven instead. See example here.
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics. Unlike supervised classification (below), clustering does not use training sets. Though there are some hybrid implementations, called semi-supervised learning.
Supervised classification, also called supervised learning, is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called label, class or category). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples. An optimal scenario will allow for the algorithm to correctly determine the class labels for unseen instances. Examples, with an emphasis on big data, can be found on DSC. Clustering algorithms are notoriously slow, though a very fast technique known as indexation or automated tagging will be described in Part II of this article.
Extreme value theory or extreme value analysis (EVA) is a branch of statistics dealing with the extreme deviations from the median of probability distributions. It seeks to assess, from a given ordered sample of a given random variable, the probability of events that are more extreme than any previously observed. For instance, floods that occur once every 10, 100, or 500 years. These models have been performing poorly recently, to predict catastrophic events, resulting in massive losses for insurance companies. I prefer Monte-Carlo simulations, especially if your training data is very large. This will be described in Part II of this article.
Monte-Carlo simulations are used in many contexts: to produce high quality pseudo-random numbers, in complex settings such as multi-layer spatio-temporal hierarchical Bayesian models, to estimate parameters (see picture below), to compute statistics associated with very rare events, or even to generate large amount of data (for instance cross and auto-correlated time series) to test and compare various algorithms, especially for stock trading or in engineering.
Customer churn analysis helps you identify and focus on higher value customers, determine what actions typically precede a lost customer or sale, and better understand what factors influence customer retention. Statistical techniques involved include survival analysis (see Part I of this article) as well as Markov chains with four states: brand new customer, returning customer, inactive (lost) customer, and re-acquired customer, along with path analysis (including root cause analysis) to understand how customers move from one state to another, to maximize profit. Related topics: customer lifetime value, cost of user acquisition, user retention.
Inventory management is the overseeing and controlling of the ordering, storage and use of components that a company will use in the production of the items it will sell as well as the overseeing and controlling of quantities of finished products for sale. Inventory management is an operations research technique leveraging analytics (time series, seasonality, regression), especially for sales forecasting and optimum pricing - broken down per product category, market segment, and geography. It is strongly related to pricing optimization (see item #17). This is not just for brick and mortar operations: inventory could mean the amount of available banner ad slots on a publisher website in the next 60 days, with estimates of how much traffic (and conversions) each banner ad slot is expected to deliver to the potential advertiser. You don't want to over-sell or under-sell this virtual inventory, and thus you need good statistical models to predict the web traffic and conversions (to pre-sell the inventory), for each advertiser category.
This is an example of automated, black-box, machine-to-machine communication system, sometimes working in real time, via various API's. It is backed by statistical models. Applications include detecting and purchasing the right keywords at the right price on Google AdWords, based on expected conversion rates for millions of keywords, most of them having no historical data; keywords are categorized using an indexation algorithm (see item #18 in this article) and aggregated into buckets (categories) to get some historical data with statistical significance, at the bucket level. This is a real problem for companies such as Amazon or eBay. Or it could be used as the core algorithm for automated high frequency stock trading.
While at first glance it sounds like an econometric problem handled with efficiency curves, or even a pure business problem, it is highly statistical in nature. Optimum pricing takes into account available and predicted inventory, production costs, prices from competitors, and profit margins. Price elasticity models are often used to determine how high prices can be boosted before reaching strong resistance. Modern systems offer prices-on-demand, in real time, for instance when booking a flight or an hotel room. User-dependent pricing - a way to further optimize pricing, offering different prices based on user segment - is a controversial issue. It is accepted in the insurance industry: bad car drivers paying more than good ones for the same coverage, or smokers / women / old people paying a different fee for healthcare insurance (this is the only price discrimination allowed by Obamacare).
Any system based on taxonomies use an indexation algorithm, created to build and maintain the taxonomy. For instance product reviews (both products and reviewers must be categorized using an indexation algorithm, then mapped onto each other), scoring algorithms to detect the top people to follow in a specific domain (click here for details), digital content management (click here for details, read part 2), and of course search engine technology. Indexation is a very efficient clustering algorithm, and the time used to index massive amounts of content grows linearly - that is very fast - with the size of your dataset. Basically, it relies on a few hundreds categories manually selected after parsing tons of documents, extracting billions of keywords, filtering them, producing a keyword frequency table, and focusing on top keywords. Indexation is also used in systems that provide related keywords associated with user-entered keywords, for instance in this example. Last but not least, an indexation algorithm can be used to automatically create an index for any document - report, article, blog, website, data repository, metadata, catalog, or book. Indeed, that's the origin of the word indexation. Surprisingly, publishers still pay people today for indexing jobs: you can find these jobs listed on the American Society for Indexing website. This is an opportunity for data scientist entrepreneurs: offering publishers a software that does this job automatically, at a fraction of the cost.
Good search engine technology relies heavily on statistical modeling. Enterprise search engines help companies - for instance Amazon - sell their products, by providing users with an easy way to find them. Our own Data Science Central search is of high quality (superior to Google search), and one of the most used features on our website. The core algorithm used in any search engine is an indexation (see item #19 in this article) or automated tagging system. Google search could be improved as follows: (1) eliminate page rank - this algorithm has been fooled by cheaters developing link farms and other web spam, (2) add new content more frequently in your index to make search results less static, less frozen in time, (3) show more relevant articles using better user / search keyword / landing page matching algorithms which ultimately means better indexation systems, and (4) use better attribution models to show the source of an article, not copies published on LinkedIn or elsewhere. (this could be as simple as putting more weights on small publishers, and identifying the first occurrence of an article, that is, time stamp detection and management).
Usually based on collaborative filtering algorithms, the idea is to find - especially in retail - which products to sell to a client based on recent purchases or interests. For instance, trying to sell engine oil to a customer buying gasoline. In banking, a company might want to sell several services: a checking account first, then a saving account, then a business account, then a loan and so on, to a specific customer segment. The challenge is to identify the correct order in which products must be promoted, the correct customer segments, and the optimum time lag between the various promotions. Cross-selling is different from up-selling.
Clinical trials are experiments done in clinical research, usually involving small data. Such prospective biomedical or behavioral research studies on human participants are designed to answer specific questions about biomedical or behavioral interventions, including new treatments and known interventions that warrant further study and comparison. Clinical trials generate data on safety and efficacy. Major concerns include how test patients are sampled (especially if they are compensated), conflict of interests in these studies, and the lack of reproducibility.
Multivariate testing is a technique for testing an hypothesis in which multiple variables are modified. The goal is to determine which combination of variations performs the best out of all of the possible combinations. Websites and mobile apps are made of combinations of changeable elements, that are optimized using multivariate testing. This involves careful design-of-experiment, and the tiny, temporary difference (in yield or web traffic) between two versions of a webpage might not have statistical significance. While ANOVA and tests of hypotheses are used by industrial or healthcare statisticians for multivariate testing, we have developed systems that are model-free, data-driven, based on data binning and model-free confidence intervals (click here and here for details). Stopping a multivariate testing experiment (they usually last 14 days for web page optimization) as soon as the winning combination is identified, helps save a lot of money. Note that external events - for instance an holiday or some server outage - can impact the results of multivariate testing, and need to be addressed.
A queue management system is used to control queues. Queues of people form in various situations and locations in a queue area, for instance in a call center. The process of queue formation and propagation is defined as queuing theory. Arrival of people in a queue is typically modeled using a Poisson process, with time to serve a client modeled using an exponential distribution. While being a statistical problem, it is considered to be part of operations research.
Supply chain optimization is the application of processes and tools to ensure the optimal operation of a manufacturing and distribution supply chain. This includes the optimal placement of inventory (see item #15 in this article) within the supply chain, minimizing operating costs (including manufacturing costs, transportation costs, and distribution costs). This often involves the application of mathematical modelling techniques such as graph theory to find optimum delivery routes (and optimum locations of warehouses), the simplex algorithm, and Monte Carlo simulations. Read 21 data science systems used by Amazon to operate its business for typical applications. Again, despite being heavily statistical in nature, this is considered to be an operations research problem.


Review
Web programming
Javascript language
Web programming
- What is web programming?
Plan, analyze, design, construct, document, test, publish.
Standards, conventions, best practices.
- What is full-stack development?
Client-side, server-side, communication, ...
Algorithms, performance, storage.
<<<<<<< HEAD
link
Web programming
Browser processing
Why is it important to delay the processing of JS code in the browser?
=======
link
>>>>>>> 7f1248c5f129b16822dc621de4632a2844294c2d
Javascript language
- paradigms
— object-based, prototype-based, object-oriented, imperative, functional, event-driven, procedural
- programs
— location, statements, flow control
- variables
— weekly-typed, scope: global, local, block
- operators
— assignment, conditional, arithmetic, strings,
<<<<<<< HEAD
link
=======
link
>>>>>>> 7f1248c5f129b16822dc621de4632a2844294c2d
Unobtrusive Javascript
- delay processing — place at the end body
- accelerate processing — DOMContentLoaded event
- avoid control boxes (alert, prompt,...)
- avoid event attributes — hard to maintain
- ultimately, move code to an external file
<<<<<<< HEAD
=======
>>>>>>> 7f1248c5f129b16822dc621de4632a2844294c2d
Develop a technology agnostic algorithms
Problem: tic tac toe game
Example
<<<<<<< HEAD
=======
=======
-->
>>>>>>> 7f1248c5f129b16822dc621de4632a2844294c2d
Prepare for next class
<<<<<<< HEAD
Study the assigned material and make notes.
Complete Worksheet 2.
—
Post your questions on the Discussion board
or bring to next class. Answer other students' questions. Start a conversation.
=======
Study the assigned material and make notes.
Complete Worksheet 2.
—
Discuss and collaborate to develop solutions on Piazza Q&A. Post your questions on the Discussion board
. Answer other students' questions. Start a conversation.
>>>>>>> 7f1248c5f129b16822dc621de4632a2844294c2d
—


Shapenet Data Visualizer
explore our database
Visualize
×
3D Model
Image
Histogram
Scatterplot
Pie Chart
# of Histogram Bins:
Count Display:
Frequency
Percentage
Color Mapping
Diverging
Monochromatic


Tosh is a game similar to Balderdash, Fibbage, Fictionary and others.
Fool your opponents by providing wrong answers for them to guess!
Tosh is a game similar to Balderdash, Fibbage, Fictionary and others.
Fool your opponents by providing wrong answers for them to guess!


Remove page navigation caches for a thread after:
of browsing inactivity on that thread.
Remove analysis result caches of a thread after:
of result display inactivity on that thread.
Auto refresh last page every minute(s).(0 disables auto refresh)


studied computer science
Python developer
working at Delivery Hero
We want to write software
We want to assert that it does what it's supposed to
manual testing
automated testing
extremely powerful testers
very slow testers
very unprecise
easily bored
very expensive
very fast testers
very precise testers
hard to set up & maintain
never bored...
to the Python shell!
the possibilities are endless...
<=
>=
!=
%
assert
...
... but we don't want/need to reinvent the wheel!
unittest
the classic testing framework
everything one needs
quasi standard
built-in
"code or it didn't happen!"
a special school of testing/programming
what's the difference?
tests after are justification
tests first are challenge
stress requirements
how to test
good design emerges
minimalism
test code refactor repeat
it emphasizes the process
helps you understand requirements
you will think about fringe cases early
breaks problems into manageable units
tests serve as documentation
good design emerges
but most of all:not easy to understand
writing good tests is hard
you need to be very disciplined
you need to excercise a lot with Katas
Thanks! Break first! Katas after!


Leo for VS Code
Use Leo, the Literate Editor with Outlines, to program with directed acyclic graphs, along with section-references, @others, and clones.
LeoInteg is an open-source extension created by Félix that integrates Leo into VS Code.
Automate the server startup, auto-refresh for external files changes, or choose which icons are shown, and more!
Adds an instance of the outline pane in the explorer view
Adds the command in the node's context menu
Inverts the dirty/clean border appearance of tree nodes
Hovering tree nodes displays an edit icon - Choose more commands to display when hovering
Start by adjusting the Outline pane, by changing the global Zoom Level.
Then, resize the the Body Pane font size by changing the Editor Font Size.


This a classic gag often seen in silent films and cartoons: a staircase with hinged, pivoting, or collapsible steps turns into a steep ramp or slide. Often used in sequences where a character climbs the Stairway to Heaven, only to be turned away at the Pearly Gates and sent whizzing down to Hell (compare with Hellevator).
Examples
open/close all folders
Advertising
- In the "Dancer" commercial for Pop-Tarts, the boy with the oversized head is so eager to get to the toaster pastries when they emerge from the toaster that he flips a switch to turn the stairs into a slide.
Films — Animated
- Near the end of The Care Bears Movie, Swift Heart and Bedtime flip the staircase to slide mode to speed up a pair of orphan children and then flip it back to slow down an older boy chasing them.
- In Scooby-Doo and the Ghoul School, the eponymous school has one for no adequately explained reason.
Films — Live-Action
- The Buster Keaton short "The Haunted House." Appears as a Booby Trap and in the Stairway to Heaven variant.
- James Bond:
- In The Man with the Golden Gun, Scaramanga (Christopher Lee) has one of these in his lair.
- In A View to a Kill, Max Zorin (Christopher Walken) does this to a stockholder who declines to take part in his plan to destroy Silicon Valley. It's worth mentioning that this staircase leads to an open trapdoor in the floor of an airship's cabin.
- In The People Under the Stairs, the steps from the cellar tilt to form a slide when Fool is fleeing from whatever-it-is that's down there.
Gamebooks
- One of the two staircases to the balcony of the grand dining hall in Citadel of Chaos is rigged to do this. If the player tries to use it, they fall and take some nasty damage unless they have a levitation spell to spare.
Literature
- In the Harry Potter series, a staircase in Gryffindor House does this to prevent boys from entering the girls' dormitories. The boys' stairs have no such trap.
- In the final battle of Deathly Hallows, Hermione turns a staircase in a Hogwarts secret passage into a getaway slide to escape from a pair of Death Eaters. Of course, the Death Eaters simply go sliding down after them, so she turns the tapestry covering the entrance at the bottom to stone. CRUNCH.
- The Hand of Thrawn duology has this built into secret passages in Thrawn's fortress, which causes considerable inconvenience to Luke and Mara.
Tabletop Games
- Dungeons & Dragons
- Dragonlance module DL12 Dragons of Faith. In Chafka's Tower, there is a ramp of stairs from Level 4 up to Level 5. When an alarm sounds, the stairs fold down and become covered with grease, causing anyone on them to slide down into a pit.
- The Judges Guild modules The Caverns of Thracia and Verbosh each have a staircase that can fold down and send PCs on a slide to the bottom.
- Module I2 Tomb of the Lizard King had one of these. Anyone who fell victim to it would slide down into a flaming pit that would kill anyone without fire resistance.
- Module L1 The Secret of Bone Hill. A set of stairs inside the title dungeon has a pressure-detecting trap on it. When a creature steps on the second stair, the stairs fold down. Anyone on the stair will slide down and slam into a stone wall.
- Module A1 Slave Pits of the Undercity. The last room of the dungeon (where the Boss Battle takes place) has a long descending stair into the center of the room. If the PCs don't detect and disarm the trap, the stairs will become a slide and the party will slip down it into the room, automatically losing surprise and initiative for the first round of combat.
- Ravenloft module Adam's Wrath. In Schloss Mordenheim there are two staircases that lead down to the Reception Hall. If a knife switch behind a painting is thrown, the left-hand staircase turns into a slide.
- White Dwarf magazine #60, adventure "The Fear of Leefield". In the kenku lair there is a staircase. If a lever is pulled, the stairs will fold down and form a 45° angle slope coated with grease.
- The 3rd Edition Dungeon Master's Guide mentioned a sliding staircase trap as a possible dungeon feature.
- Polyhedron magazine
- Issue #80 adventure "Guarded Wagon". While exploring the ruins of Narwal, the Player Characters will enter a building and find a stairway leading down. When they walk down it, the stairs will fold flat and the PCs will slide down into a pit.
- Issue #132 adventure "Audition". While trying to get through a thieves guild training course, the Player Characters will have to climb up a staircase. As soon as there is more 120 pounds of weight on the staircase, it will fold down flat. This will also burst bags of oil hidden under the risers, which will make the staircase very slippery.
- Dungeon magazine
- Issue #10 adventure "They Also Serve". In the Kingstown Thieves Guild guildhall, one staircase has a hidden lever which will cause all of the stairs in the building to either fold down into a ramp or return to normal. The thieves can use this device to send uninvited guests who are using the stairs on a nasty slide.
- Issue #29 adventure "Nymph's Reward". In the Spider's Lair room in Vexia's treehouse, anyone stepping on the fifth step of the stairs will cause the steps to flatten down, and anyone on the stairs may slide down into the nest of spiders at the bottom.
- Flying Buffalo's Grimtooth's Traps supplement. The "Slider Spiker" trap uses this trick.
- Rolemaster Arms Companion. One of these is given as a "Maiming" type trap.
Video Games
- In Chrono Trigger, Crono, Lucca, and Frog can encounter one in a dungeon located underneath a chapel. There are two stairways to choose from, but the first one taken will always become this, forcing you to go all the way around to get back to the other.
- A couple of times in the Super Mario Bros. series you have to ascend a flight of stairs within a time limit, or they'll turn into a ramp and return you to the bottom.
- Wario Land: Shake It! has switchable stair/ramps that can be used to build up momentum.
- Occurs briefly in LEGO Star Wars 2: The Original Trilogy ("Escape from Cloud City" level) and LEGO Indiana Jones ("Well of Souls" level). LEGO Star Wars contains several of these, in the form of slides that the player must turn into stairs (or build stairs on top of) in order to pass.
- One of those things are present in That One Level in LocoRoco 2.
- The "Lonesome Ghosts" level of Mickey Mania has a bunch of these.
- Dragon's Lair has one of these.
- The Lode Runner clone Wizard uses this as a standard level design mechanic.
- Near the end of Psychonauts, you run into one of these, with the switch being manned by a bird.
- Luigi's Mansion 2 has one in the first mansion. Expect a slide when the candles are burning purple. Taken to ridiculous lengths with the massively long Eerie Staircase in the second mansion, which sends Luigi all the way to the bottom if he takes one wrong turn.
- One of the recurring obstacles of the "Slippery Climb" level in Crash Bandicoot (1996) are stairs that turn into slides that lead you to the nearest spiked doom.
- In Spyro: Year of the Dragon, cat wizards in Charmed Ridge turn some of the stairs in the level into ramps Spyro can't walk up.
Western Animation
- Mickey Mouse encounters one in a 1933 animated short, "The Mad Doctor."
- Super Friends (1973) episode "The Baffles Puzzle". Wonder Woman is walking down a staircase leading underground when the stairs fold and she slides to the bottom. Watch it here.
- Occurred in the Scooby-Doo, Where Are You! episode "Never Ape An Ape Man". Fred has the rest of the gang run up some stairs while the Ape Man chases them. When the gang reaches the top Fred presses a button, the stairs fold down and the Ape Man slides down them and into a trap.
- A late-90s Cartoon Network bumper has Shaggy and Scooby falling down one of these, with the flattened staircase revealing CN's checkerboard logo.
- The Simpsons:
- "Bart Gets Hit By A Car": Bart's escalator to Heaven turns into a slide to Hell after he spits over the side.
- Played with in the "Bart Simpson's Dracula" segment of "Treehouse of Horror IV." In this case the "surprise" slide actually has a switch that must be pressed from the top of the stairs, accompanied by a sign reading "SUPER FUN HAPPY SLIDE". Even though Bart realizes that pressing it would be a terrible idea (since the vampiric Mr. Burns has just woken up and the staircase is the only way away from him), he can't resist the urge to press it anyway.
- Futurama: Played straight in the episode, "Hell is Other Robots", when Fry and Leela are sent down a chute onto a surprise slide.
- Avatar: The Last Airbender season 2 episode The Earth King, Toph collapses the giant stairs leading to the palace into this. She then proceeds to use it as an elevator all while Sokka apologizes to the earth kingdom soldiers.
- My Little Pony: Friendship Is Magic: "The Crystal Empire" has an odd example. When faced with an impossibly tall spiral staircase, Twilight Sparkle pulls off an impressive Dungeon Bypass by casting a spell to invert her gravity, and sliding up the the slope on the bottom of the stairs.
- In the animated Around the World in 80 Days, one figures into an attempt by Mr. Fix to trap Fogg in a carnival funhouse.
- One of the traps which Lion-O and Wilykit encounter in the Thunder Cats episode "The Tower of Traps" is a flight of trick stairs. When Lion-O attempts to pull himself and Wilykit up to the landing, he triggers a surprise slide which sends the two Thundercats right back to the bottom. The only way they can get past this staircase is to vault over it using the Sword of Omens.
- Alfred J. Kwak: When Alfred and Professor Paljas explore an Egyptian pyramid and get lost, they find themselves on a stairwell that suddenly turns into a slide. They manage to hold on thanks to Paljas' cane, but then they hear a rumbling sound approaching from above.
- The New Adventures of Superman: In "The Warlock's Revenge", the Warlock magically transforms the stairs beneath Lois Lane's feet into a slide to dump her into a busy street.
Real Life
- Turns out, there actually exists a kit to convert your stairs into a slide, via a set of long panels and sideguards that are affixed at either end of the stairs. Unfortunately, this kit only works on stairs that don't have a middle landing.


Projects
In this project you can create Pac-Men at your disposal and making them move just by clicking buttons. A great example on how the DOM was manipulated with JavaScript, visit the GitHub repository to see the source code.
In this project you will find two eyes that follows the
cursor over the webpage. Visit the GitHub repository so
you can see the source code and how JavaScript plays
with HTML and CSS.
Here you will find a real time bus tracker that circulate across the MIT surroundings. When you visit the GitHub repository you will find that that the tracker makes use of an API to get the real-time data of the buses.


Installation¶
We strive to make PyAutoLens as easy to install as possible. However, one of our dependencies, PyMultiNest, has proven difficult to install on many machines. We therefore recommend users to install PyAutoLens via conda following the instructions below, which handles the installation of PyMultiNest.
Users who wish to install PyAutoLens via pip or fork the respository will need to install PyMultiNest manually.
Dependencies¶
PyAutoLens dependencies can be found in the requirements.txt file and they are automatically installed with PyAutoLens. The libraries are:
PyAutoConf https://github.com/rhayes777/PyAutoConf
PyAutoFit https://github.com/rhayes777/PyAutoFit
PyAutoArray https://github.com/Jammy2211/PyAutoArray
PyAutoAstro https://github.com/Jammy2211/PyAutoAstro
PyMultiNest http://johannesbuchner.github.io/pymultinest-tutorial/install.html
emcee https://github.com/dfm/emcee
astropy https://www.astropy.org/
GetDist https://getdist.readthedocs.io/en/latest/
matplotlib https://matplotlib.org/
numba https://github.com/numba/numba.
numpy https://numpy.org/
pyquad https://github.com/AshKelly/pyquad
scipy https://www.scipy.org/
Installation with conda¶
We recommend installation using a conda environment as this circumvents a number of compatibility issues when installing PyMultiNest.
First, install conda.
Create a conda environment:
>> conda create -n autolens python=3.7 anaconda
Activate the conda environment:
conda activate autolens
Install multinest:
conda install -c conda-forge multinest
Install autolens (v0.40.0 is the most recent stable build):
pip install autolens==0.40.0
Clone the autolens workspace & set WORKSPACE environment model:
cd /path/where/you/want/autolens_workspace
git clone https://github.com/Jammy2211/autolens_workspace
export WORKSPACE=/path/to/autolens_workspace/
Set PYTHONPATH to include the autolens_workspace directory:
export PYTHONPATH=/path/to/autolens_workspace/
Matplotlib uses the default backend on your computer, as set in the config file:
autolens_workspace/config/visualize/general.ini
If unchanged, the backend is set to ‘default’, meaning it will use the backend automatically set up for Python on your system.
[general]
backend = default
There have been reports that using the default backend causes crashes when running the test script below (either the code crashes without a error or your computer restarts). If this happens, change the config’s backend until the test works (TKAgg has worked on Linux machines, Qt5Agg has worked on new MACs). For example:
[general]
backend = TKAgg
You can test everything is working by running the example pipeline runner in the autolens_workspace
python3 /path/to/autolens_workspace/runners/beginner/no_lens_light/lens_sie__source_inversion.py
Installation with pip¶
Installation is also available via pip (v0.40.0 is the most recent stable build), however there are reported issues with installing PyMultiNest that can make installation difficult, see here
If PyMultiNest has installed correctly you may install PyAutoLens via pip as follows.
pip install autolens==0.40.0
Clone autolens workspace & set WORKSPACE enviroment model:
cd /path/where/you/want/autolens_workspace
git clone https://github.com/Jammy2211/autolens_workspace
export WORKSPACE=/path/to/autolens_workspace/
Set PYTHONPATH to include the autolens_workspace directory:
export PYTHONPATH=/path/to/autolens_workspace
Matplotlib uses the default backend on your computer, as set in the config file:
autolens_workspace/config/visualize/general.ini
If unchanged, the backend is set to ‘default’, meaning it will use the backend automatically set up for Python on your system.
[general]
backend = default
There have been reports that using the default backend causes crashes when running the test script below (either the code crashes without a error or your computer restarts). If this happens, change the config’s backend until the test works (TKAgg has worked on Linux machines, Qt5Agg has worked on new MACs). For example:
[general]
backend = TKAgg
You can test everything is working by running the example pipeline runner in the autolens_workspace
You can test everything is working by running the example pipeline runner in the autolens_workspace
python3 /path/to/autolens_workspace/runners/beginner/no_lens_light/lens_sie__source_inversion.py
Forking / Cloning¶
Alternatively, you can fork or clone the PyAutoLens github repository. Note that PyAutoLens requires a valid config to run. Therefore, if you fork or clone the PyAutoLens repository, you need the autolens_workspace with the PYTHONPATH and WORKSPACE environment variables set up as described on the autolens_workspace repository or the installation instructions below.


Hello, my name is Sunday Juma and I am a FULL STACK WEB DEVELOPER in the making!
I am first and foremost a Child of God. I am passionate about glorifying Him and making the most of my days on this earth. All I have and all I am is thanks to my Creator and Redeemer.
I am passionate about many things but everything technology is top of my list. I am a self-taught student of digital marketing and life in general. Part of my daily routine is to learn something new, every day.
The above is a link to the first website I created and published on Github. I used HTML markup language and CSS style sheet language to create this website.
This is my branching exercise test project that I did while learning about creating branches on github. I used HTML markup language and CSS style sheet language to create this website.


 Encino Man, Dudley Do-Right, Mrs. Winterbourne... these are the films that a generation uses to mark the passage of time.
It's nigh time we added another sparkling gem to the 30-picture oeuvre that is The Brendan Fraser Experience... and that gem is Bedazzled, a limp remake of a 1967 Dudley Moore vehicle -- a Dudley Moore vehicle which was also co-written by Dudley Moore. Just so you know we're working with some stellar raw material here.
The high concept of Bedazzled gives us Elizabeth Hurley as the devil (Peter Cook played him in the original), who gives Fraser's über-nerd Elliot seven wishes in exchange for his soul. Hurley makes a surprisingly believable Satan. Up close, her angular features and hollow gaze make her as frightening as she is gorgeous, not to mention the annoying bouncy walk that makes you dizzy to watch and a wardrobe change factor that clocks in at once every six minutes.
Elliot dreams up every wish he can think of to try to make his office crush Allison (Frances O'Connor) fall for him. Soon he's a Columbian drug lord, then a basketball star, then an effete socialite.  Elliot needs to watch more episodes of Bewitched! to learn the dangers of wishing improperly.
As each wish turns out worse than the last, we are offered the chance to laugh at the wacky antics on display before us. Look, Elliot can suddenly speak Spanish! Look, Elliot suddenly speaks like a moron! Look, Elliot is suddenly very smart! Of course, you may choose not to laugh at many of these scenes if you wish. I know I didn't.
Bedazzled drags its one-joke scenes through far too many poorly-timed comic moments, with each of its hokey-jokey sequences going on for far longer than is humanly funny (notably one scene about Elliot having been given a small willy becomes truly painful). Of course, I guess this is unavoidable if you're simply trying to pad out 90 minutes of screen time with something.
To try and spice things up, director Harold Ramis inserts the supporting cast of Elliot's co-workers into each vignette, where they reappear as new characters. Wow, inventive! Then there are numerous and utterly bizarre "comedy" moments, complete non-sequiturs to the film, which are used as interludes between each "wish" sequence. Mostly this consists of Hurley's devil causing traffic accidents, etc. You know, just for kicks.
And what's with Frances O'Connor as the romantic lead? O'Connor, best known (okay, solely known) for starring in the recent Mansfield Park, with her jutting forehead and wallflower stage presence, makes for a love interest about as exciting as a wet brick. Jeez, why not have Hurley and Fraser get it on? I guess we'd bust through PG-13 with something like that.
Aside from a few juvenile giggles, there's not much in Bedazzled worth mentioning. The movie is so limp it is all but forgotten on the ride home. So what was I saying?

The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


System Architect Symbol details for "Value Category"
Associative Category (Class)
- Description:
"Category" capable of classifying associations between "Objects".
Cat/Scope (Generalization Node)
- Base Class:
Category
- Definitions Used:
-
Category (Class)
Category (Class)
- Description:
Abstraction on the basis of common properties.
Category Valued Qualifier (Class)
- Description:
"Phenomenon Qualifier" with a value defined by a "Value Category".
- Comment:
See "Value Category" for typical values.
Descriptive Category (Class)
- Description:
"Category" capable of classifying an "Object" directly rather than by associating it with another
"Object".
- Comment:
As distinct from Associative Category.
value (Association)
- From Class:
"Value Category"
- To Class:
"Category Valued Qualifier"
- From Class:
"Value Category"
- To Class:
"Category Valued Qualifier"
Value Category (Class)
- Description:
"Category" which may be used to give a value to a "Category Valued PhenorQual".
- Comment:
-
Typical examples are:
"True"
"False"
"Left" (laterality)
"Right" (ditto)
"High"
"Low".
Obviously, there are sets from which selection may be made. This should be governed by constraining
selection to one out of a set of species categories within a single Classification Element.


JUSAG calls off strike
by Joyce Danso, GNAAccra, Nov. 14, GNA - The Judicial Service Staff Association of Ghana (JUSAG) has called off its indefinite strike.
A statement signed by Mr Alex Nartey, National President of JUSAG, and issued to the Ghana News Agency, in Accra, said the leadership of the Association met with the Management of Judicial Service today to deliberate on matters that brought about the strike.
It said Acting Chief Justice Jones Victor Dotse had approved that the matters raised at the meeting be forwarded to the Judicial Council.
"In view of the above, we have resolved to suspend the industrial action with immediate effect," it said .
"We, therefore, call on rank and file to resume work while leadership work with management on the issue".
JUSAG last week served notices of embarking on an indefinite strike over the need to review their salaries.
The action, which commenced two days ago, has left litigants stranded.
The National Labour Commission (NLC) described the strike as illegal.
GNA


The Content Analysis Tool
The Lexos Content Analysis Tool allows you to compare the presence of words
in multiple dictionaries (lists of words) as found within your uploaded documents.
The words in each dictionary are tallied for each document. You can then build
your own equation to compute a single score for each document based on the
words found in each dictionary. For example, if you have previously uploaded
a document containing a concatenated list of tweets, you can use this tool
to upload two dictionaries (e.g. happyWords.txt and sadWords.txt), then build
an equation such as [happy] - [sad]. Given this equation, the tool will compute
the total number of happy words found minus the total number of sad words found
for each document. Once you click the Analyze button, a final score will emerge
to indicate a "happiness" measure for your collection of tweets.
There are various applications of the content analysis tool such as opinion
mining, determining organizational hardiness in stockbroker reports, and sentiment analysis.
Usage
- Dictionaries
Here is where you can upload the dictionaries of happy words or sad words
(for example) you wish to analyze in your texts.
- Formula
Using the buttons as a regular calculator, and the new dictionary buttons,
enter a formula for analysis. For example [happy]-[sad]
- Download
To download the either the "Overview" section or the "corpus" section
as a data file, click the Download button and you will get a
results .csv
file. “CSV” is short for Comma-Separated Values.
In your downloaded file, a comma will serve as the column delimiter and
these files can be opened by other programs later, e.g., Excel.
Results
- Overview
Assuming a use with happy and sad dictionaries, the first table displays
the number of happy and sad terms present in each document, the final formula
value computed, the total word count of each document, and the score which
is the formula result divided by the total word count. The average for each
of these categories is also included in the table.
- Corpus
The second table displays a ranking of the most frequently occurring dictionary
terms for the entire corpus (the entire collection of active documents).
For each dictionary term, the columns show the dictionary holding the term,
the dictionary term, and the raw count of the number of times that term
appears in the entire corpus. Each user-defined dictionary is color-coded
for convenience.
- Documents
The third table displays a ranking of the most frequently occurring dictionary
terms for each document in the set of active documents. For each dictionary term,
the columns show the dictionary holding the term, the dictionary term, and
the raw count of the number of times that term appears in the document.
Examples
Sentiment Analysis: After uploading and preparing one or more text
files (e.g., a novel), you must then upload at least one of your own user-defined
dictionaries containing keywords that you tend to associate with a particular
feeling. This "dictionary" is another text file uploaded under the dictionaries
menu in the Content Analysis page. You must then enter a formula using the
provided calculator in order to determine the “sentiment” of the text. For
instance, you may choose to upload a novel and then two of your own user-defined
dictionaries in order to determine the tone of the literary text.
Text File: happy very happy happy very sad sad happy happy happy sad
Dictionary 1: happy, very happy
Dictionary 2: sad, very sad
Formula: [happy] – [sad]
After clicking analyze, you might see that the text appears to have a happier
tone since it uses more phrases from Dictionary 1 (the “happy” dictionary)
than from Dictionary 2 (the “sad” dictionary).


--- title: Scripting keywords: fastai sidebar: home_sidebar summary: "Automatically detect hardware and devices like FPGAs and SoCs, read/write to memory, program, compile, archive projects, generate LUT masks, perform timing analyses, and more." description: "Automatically detect hardware and devices like FPGAs and SoCs, read/write to memory, program, compile, archive projects, generate LUT masks, perform timing analyses, and more." nb_path: "01_Scripting.ipynb" ---
For the following I will use two DE-10 Nano SoC FPGAs attached via USB. Note that function wrappers disrupt the automatically generated doc strings created by nbdev. As such, we will show the source code for details.
get_fpgas()
get_fpgas(parse=True) #strip the SoC
get_insts()
The dict is keyed by port, and valued by a list of lists. Each sublist gives a memory address. The first entry is the memory index, the second is the number of words, the third is the size of each word, the fourth is the RW behavior, the 5th is the type of memory, and the last is the name of the memory module.
read(inst=1,hw='DE-SoC [USB-1]',dev='@2: 5CSEBA6(.|ES)/5CSEMA6/.. (0x02D020DD)')
format_mem(0)
format_mem(10)
format_mem([0,1,2])
write(inst=1,data=[1,0,1])
read(inst=1)
read_write(args=[(1,'w',0,3),(1,'r')])
read_write(args=[(1,'w',[1,1,1]),(1,'r')])
read_write(args=[(1,'w',[1,1,1]),(1,'r')],reps=2)
read_write(args=[(1,'w',[1,1,1]),(1,'r'),(1,'w',0,3),(1,'r')])
read_write_all(fpgas=[('DE-SoC [USB-1]','@2: 5CSEBA6(.|ES)/5CSEMA6/.. (0x02D020DD)'),
('DE-SoC [USB-2]','@2: 5CSEBA6(.|ES)/5CSEMA6/.. (0x02D020DD)')],
args=[(1,'w',[1,1,1]),(1,'r'),(1,'w',0,3),(1,'r')])
lut_mask(lambda s:1 if s[0]==1 else 0)


INSTA-CHAR AQUEOUS CHERRY - activated charcoal suspension
VISTAPHARM INC
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active Ingredient (per 240 mL)
Activated Charcoal, USP 50g
Do not use
- until after the patient has vomited, unless directed by a health professional
- in persons that are not fully conscious
- unless directed by a health professional, if turpentine, corrosives, such as alkalies (lye) and strong acids, or petroleum distillates, such as kerosene, gasoline, paint thinner, cleaning fluid or furniture polish, have been ingested
If pregnant or breast-feeding,
ask a health professional before use.
Keep out of reach of children.
----
Directions
- Shake vigorously to suspend charcoal before use.
- Remove foil seal underneath cap and replace cap.
- Cut off delivery tip of bottle 3/4 inch from end to insert drinking straw included with bottle.
- Pull or cut off tip from included cherry flavor and squeeze flavor into straw.
- Administer entire 240 mL if possible.
- Repeat dose immediately with Insta-Char Aqueous base product if possible.
- I f previous attempts to contact a poison control center, emergency medical facility, or health professional were unsuccessful, continue trying.
- Keep patient active and moving.
- Save the container of poison.
Age
Adults and children 12 years and over and weighing at least 32 kg (71 lbs.)
Dose
50-100 g (1-2 adult bottles) or 1-2 g per kg of body weight. If a second bottle is recommended, the additional bottle should be Insta-Char in an Aqueous Base unless otherwise directed by a physician.
Other information
- Drinking straw and cherry flavor included
Inactive Ingredients
citric acid, glycerin, propylene glycol, purified water, sucrose
Flavor Ingredients
artificial flavor, citric acid, FD and C red #40, propylene glycol, sodium benzoate, water, xanthan gum
Other information
Drinking straw and cherry flavor included
Questions?
877-437-8567 M-F 8am to 5pm (ct)
INSTA-CHAR AQUEOUS CHERRY 240 ML
Insta-Char Aqueous Cherry Poison Adsorbent
240 mL
Distributed by: Vistapharm Inc.
Birmingham, AL 35242


Lebanon's Berri wants formation of new government accelerated
BEIRUT (Reuters) - Lebanese Parliament Speaker Nabih Berri called on Wednesday for the acceleration of efforts to form a new, inclusive Lebanese government, MP Ali Bazzi said after a weekly meeting of Berri’s parliamentary bloc.


Intercatpol
wanted criminals
Case files
Identity particulars
Nick name
Gender
Date of birth
Nationality
Distinguishing marks
Physical description
Length (sm)
Weight (kg)
Hair color
Details
Charges


Vaillant operation modes.
pymultimatic.model.mode.
Mode
(name: str = None)¶This is the base class for modes, it groups QuickVeto
,
OperatingMode
, QuickMode
and SettingMode
.
name (str) – The name of the mode.
pymultimatic.model.mode.
QuickVeto
(duration: Optional[int] = None, target: float = None)¶Represents a quick veto which can be applied to a
Zone
or a
Room
.
For a Room
, quick veto duration is
customizable and it’s possible to get the remaining duration through the
API. The max value is 1440 minutes (1 day)
For a Zone
, quick veto duration is
not customizable (default duration is 6 hours) and the API returns
always 0.
duration (int) – remaining duration in minutes
before the quick veto expires. Since remaining duration is not
available for a Zone
,
value will be None.
target (float) – target temperature defined by the quick veto.
pymultimatic.model.mode.
OperatingMode
(name: str = None)¶Represents the operating mode of a
Component
pymultimatic.model.mode.
OperatingModes
¶Groups all OperatingMode
together.
AUTO
= OperatingMode(name='AUTO')¶The automatic mode controls the heating circuit in accordance with the set desired temperature and the set time slots.
DAY
= OperatingMode(name='DAY')¶The Day operating mode brings the heating circuit to the desired Day temperature set, without taking time periods into account.
MANUAL
= OperatingMode(name='MANUAL')¶The manual operating mode is used by a
Room
to set manually the target
temperature and keep it until next manual change.
NIGHT
= OperatingMode(name='NIGHT')¶The Set-back (Night) operating mode brings the heating circuit to the desired Set-back temperature set, without taking time periods into consideration.
 The frost protection function is activated.
ON
= OperatingMode(name='ON')¶The operating mode “On” applies to
Hotwater
and
Circulation
, it means the
Component
is running on.
QUICK_VETO
= OperatingMode(name='QUICK_VETO')¶The Quick veto function can be used to make one-off changes to the
temperature. This function sets the desired target temperature, which may
differ from that configured in the
TimeProgram
currently being used
. The newly set temperature will be applied for a certain period of
time.
get
(name: str) → pymultimatic.model.mode.OperatingMode¶Get OperatingMode
by name.
name (str) – Name of the operating mode
The corresponding operating mode or None
pymultimatic.model.mode.
SettingMode
(name: str = None)¶This is the setting which is configured in
TimePeriodSetting
.
pymultimatic.model.mode.
SettingModes
¶Groups all SettingMode
together.
DAY
= SettingMode(name='DAY')¶Within the time periods, the controller brings the
Zone
temperature to the DAY
temp. heating that has been set (Comfort mode).
NIGHT
= SettingMode(name='NIGHT')¶Outside of the time period, the controller brings the
Zone
temperature to the Set-back
temp. heating (NIGHT) that has been set.
OFF
= SettingMode(name='OFF')¶Outside the time period,
HotWater
generation (and
Circulation
) is switched off.
ON
= SettingMode(name='ON')¶Within the time period,
HotWater
generation is switched on
and maintains the hot water in the domestic hot water cylinder at the
preset temperature. This also means the
Circulation
is switched off.
get
(name: str) → pymultimatic.model.mode.SettingMode¶Get SettingMode
by name.
name (str) – Name of the setting mode
The corresponding setting mode or None
pymultimatic.model.quick_mode.
QuickMode
(name: str = None, for_zone: bool = None, for_room: bool = None, for_dhw: bool = None)¶This class is a helper to check what is impacted by a quick mode.
Quick modes are mode you can quickly set with the mobile app, most of the
time, they have system wise impact. This is different from
QuickVeto
, which will only impact one
Component
.
name (str) – Name of the quick mode.
for_zone (bool) – quick mode is applicable for a
Zone
.
for_room (bool) – quick mode is applicable for a
Room
.
for_dhw (bool) – quick mode is applicable for a
HotWater
and
Circulation
.
Note
There is a default duration for quick modes (which can’t be changed) but the API always returns 0 as remaining duration, so there is no way to know when quick mode will end.
Vaillant documentation link about quick modes: http://elearning.vaillant.com/vrc700/ci/en/documents/uk/infopool/Operating_instructions.pdf
pymultimatic.model.quick_mode.
QuickModes
¶Groups all QuickMode
together.
HOLIDAY
= QuickMode(name='QM_HOLIDAY', for_zone=True, for_room=True, for_dhw=True)¶HOTWATER_BOOST
= QuickMode(name='QM_HOTWATER_BOOST', for_zone=False, for_room=False, for_dhw=True)¶The advanced function heats the water in the domestic hot water cylinder once until the desired DHW circuit temperature set is reached or until you cancel the advanced function early. The heating installation will then return to the pre-set mode
ONE_DAY_AT_HOME
= QuickMode(name='QM_ONE_DAY_AT_HOME', for_zone=True, for_room=False, for_dhw=False)¶This advanced function activates Automatic mode for one day with the
settings for Sunday, as set using the Time programmes function.
The advanced function is automatically deactivated after 24:00 hours or if
you cancel the advanced function first.
The heating installation will then return to the pre-set mode.
The operating modes and time programme for
Room
are not affected.
ONE_DAY_AWAY
= QuickMode(name='QM_ONE_DAY_AWAY', for_zone=True, for_room=False, for_dhw=True)¶Hot water generation and circulation are switched off and the frost protection is activated. The advanced function is automatically deactivated after 24:00 hours or if you cancel the advanced function first. The heating installation will then return to the pre-set mode. Ventilation is activated and works at the lowest ventilation level.
PARTY
= QuickMode(name='QM_PARTY', for_zone=True, for_room=False, for_dhw=False)¶The advanced function brings the room temperature to the set desired Day temperature, in accordance with the set time periods. The advanced function is deactivated after six hours or if you cancel it before the six hours is up. The heating installation will then return to the pre-set mode.
QUICK_VETO
= QuickMode(name='QM_QUICK_VETO', for_zone=False, for_room=False, for_dhw=False)¶This advanced function activates a quick veto for one specific zone
SYSTEM_OFF
= QuickMode(name='QM_SYSTEM_OFF', for_zone=True, for_room=True, for_dhw=True)¶The heating function, hot water circuit and cooling are switched off. The frost protection function is activated. The circulation is switched off. Ventilation is activated and works at the lowest ventilation level.
VENTILATION_BOOST
= QuickMode(name='QM_VENTILATION_BOOST', for_zone=True, for_room=False, for_dhw=False)¶This advanced function switches the zone off for 30 minutes. The frost protection function is activated, and hot water generation and circulation remain active. Ventilation is activated and works at the highest ventilation level. The advanced function is automatically deactivated after 30 minutes or if you cancel the advanced function early. The heating installation will then return to the pre-set mode.
for_dhw
() → List[pymultimatic.model.quick_mode.QuickMode]¶Get the list of QuickMode
applicable to
HotWater
and Circulation
.
A list of quick mode applicable for
HotWater
and
Circulation
.
for_room
() → List[pymultimatic.model.quick_mode.QuickMode]¶Get the list of QuickMode
applicable to
Room
.
A list of quick mode applicable for
Room
.
pymultimatic.model.mode.
ActiveMode
(target: Optional[float], current: pymultimatic.model.mode.Mode, sub: Optional[pymultimatic.model.mode.Mode] = None)¶Active mode will let you know the real target temperature and the real
Mode
applied to a
Component
.
Note
This is based on the interpretation of the data coming from the API.
It can be quite complex to know what is going on from a
Component
,
the API returns data at different places like for example:
the OperatingMode
(and the QuickVeto
) for a
Component
are found at one place
the system wise QuickMode
is found somewhere else
not all the QuickMode
are applicable to all
Component
So, if a Zone
is configured with
OperatingModes.AUTO
mode and there is a
QuickModes.QM_SYSTEM_OFF
active, the API won’t tell you what is
the real mode applied to that Zone
. In this case, the QuickModes.QM_SYSTEM_OFF
will actually take
precedence and it will have impact on the target temperature.
target (Optional[float]) – Target temperature the
Component
tries to reach.
Please note, there will be no target_temperature for
Circulation
.
current (Mode) – This is the mode that will be applied by your installation.
sub – (Mode): If mode is OperatingModes.AUTO
,
then sub_mode will be populated with the actual configured mode,
coming from
mode
, otherwise it will be None
pymultimatic.model.quick_mode.
HolidayMode
(is_active: bool, start_date: Optional[datetime.date] = None, end_date: Optional[datetime.date] = None, target: Optional[float] = None)¶Represents system’s holiday mode.
is_active (bool) – Indicates whether the user has activated the holiday mode or not.
start_date (date) – Start date of the holiday mode.
end_date (date) – End date of the holiday mode.
target_temperature (float) – Target temperature when the holiday mode is applied.
Note
is_active doesn’t necessarily means the holiday mode is_applied: the user can activate the holiday mode through the mobile app but with end_date and start_date in the future.
active_mode
¶Get the ActiveMode
from holiday mode,
if is_applied.
Optional[ActiveMode]
is_applied
¶Check if holiday mode is active and if today are between end_date and start_date.
Note
Use this to know if the holiday mode is active and applied to the system.
bool


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$sceProvider
ng
The $sceProvider provider allows developers to configure the $sce
service.
- enable/disable Strict Contextual Escaping (SCE) in a module
- override the default implementation with a custom delegate
Read more about Strict Contextual Escaping (SCE)
.


Polar benthic systems & global change
From 2014 to 2017, I was a Belgian Federal Science Policy Office (BELSPO) postdoctoral fellow at the Laboratory of Oceanology (University of Liège, Belgium) under Gilles Lepoint. In the framework of the vERSO (2013-2018) and RECTO (2015-2020) inter-institutional projects, I took part in a collaborative effort to understand how stressors linked with global climate change (temperature, pH, sea ice cover) can influence benthic communities in the Southern Ocean.
Since then, polar biology has become a strong component of my research. I'm notably interested on how changes in sea ice cover can drive food web structure and energy flows in benthic communities. I also study trophic plasticity in key Antarctic and Sub-antarctic consumers (sea stars, sea urchins, amphipods , seabirds and Notothenioid fishes) and how it can help animals to cope with environmental changes. More recently, I also had the opportunity to get involved on projects focusing on Arctic ecosystem changes.


Reports expressions that seem to use an inappropriate method for determining array equality or calculating their hashcode.
The following method calls are reported:
Object.equals()
for any arrays
Arrays.equals()
for multidimensional arrays
Arrays.hashCode()
for multidimensional arrays


ANNA AND THE KING (M). (Twentieth Century Fox) Director: Andy Tennant Stars: Jodie Foster, Chow Yun-Fat, Bai Ling, Tom Felton, Syed Alwi, Randall Duk Kim, Lim Kay Siu, Melissa Campbell, Geoffrey Palmer, Bill Stewart Running time: 140 minutes.
The story of Anna Leonowens, the strong minded, widowed British governess who travelled to Siam in the mid-1800's to educate the king's many children, has been told in film many times before. The most famous incarnation of this story is Rogers and Hammerstein's musical The King And I, in which Yul Brynner virtually made the role of the despotic but benevolent king his own, and its subsequent tv spin off. The story was previously filmed in 1946's non-musical Anna And The King Of Siam, and more recently as a bland animated musical. Director Andy Tennant, who magnificently reinvigorated the Cinderella story in the recent Ever After, takes the familiar story and breathes new life into the material in this lavish, epic version.
Jodie Foster essays the role of the outspoken Anna, who arrives in Thailand from colonial India to educate the heir to the throne in modern concepts. She eventually charms and influences the king, anxious to maintain a delicate balance between tradition and the future, yet ensure his country's continued independence amidst colonial expansion into Asia.
It is not clear whether Tennant, whose credits also include the bland romantic comedy Fools Rush In, was trying to create a lush epic in the David Lean tradition here, but his direction is a little uneven. The film's second half heads into boy's own adventure mode with its subplot involving an attempted coup and treachery threatening the palace. The intrigue is resolved in a spectacular, if contrived, climactic Bridge On The River Kwai-like confrontation.
While Anna And The King explores broader themes of colonialism, tradition, and the clash of cultures, its treatment is nonetheless rather superficial. The film lacks enough dramatic confrontations and clashes between the headstrong Anna and the king to sustain tension and thus hold the audience's interest for its generous running time.
The two leads combine well to inject passion and warmth into their roles, and Tennant beautifully develops an air of sexual tension between the pair. Foster delivers her usual solid performance, and maintains an impeccable British accent throughout. But it is Hong Kong action hero Chow Yun-Fat who delivers the most surprising performance here, bringing a beautifully regal bearing and intelligence to his role as King Mongkut. Rather than merely replicating Brynner's famous mannerisms, Yun-Fat stamps his own presence on the role, creating a far more complex and interesting character.
The film has been beautifully shot in Malaysia by veteran cinematographer Caleb Deschanel, and certainly looks gorgeous. The production design, which recreates the king's sprawling palace, is also quite sumptuous. *** greg king http://www.netau.com.au/gregking
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


The jQuery animate() method lets you create custom animation
The jQuery animate() method lets you create custom animations.
$(selector).animate({params}, speed, callback);
The required {params} parameter defines the CSS properties to be animated.
The optional speed parameter specifies the duration of the effect. It can
take the following values: 'fast', 'slow', milliseconds.
The optional callback parameter is a function to be executed after the animation
completes.
The following example demonstrates a simple use of animate() method: it moves a
<div>
element to the right, until it has reached a left property
of 250px.
$("button").click(function(){ $('div').animate({left: 250px}); });
Notice, that multiple properties can be animated at the same time.
$("button").click(function() { $("div").animate({ width: '150'; height: '150px'; opacity: '0.5'; left: '250px'; }); });
Is it possible to manipulate all CSS properties with the animate method?
Yes, almost! However there is one important thing to remember: all property names
must be camel-cased, when used with the animate() method. You will need to write
paddingLeft instead of padding-left, marginRight instead of margin-right and so on.
Also, color animation is not included in the core jQuery library.
If you want to animate color, you need to download the Color Animations Plugin from
jQuery.com.
It is also possible to define relative values (relative to the element's current value). This is done by putting += or -= in front of the value.
$(document).ready(function() { $("button").click({ $("div").animate({ width: '+=150px', height: '+=150px', left: '250px' }); }); });
You can specifiy a property's animation value as 'hide', 'show' or 'toggle'.
$(document).ready(function() { $("button").click(function() { $("div").animate({ width: 'hide', }); }); });
By default, jQuery comes with queue functionality for animations. That means, that you write multiple animate calls after each other, jQuery creates an internal queue with these method calls. Then it runs the animate calls one by one. So, if you want to perform different animations after each other, we take advantage of the queue functionality.
$("button").click(function() { var div = $("#div4"); div.animate({height: '300px', opacity: '.4'}, 'slow'); div.animate({width: '300px', opacity: '.8'}, 'slow'); div.animate({height: '100px', opacity: '.4'}, 'slow'); div.animate({width: '100px', opacity: '.8'}, 'slow'); })
The example below first moves the <div> element to the right and then increases the font size of the text.
$("button").click(function() { var div = $("div"); div.animate({left: '100px'}, 'slow'); div.animate({font-size: '3em'}, 'slow'); });


On 12 June 2017, 5 new articles were published in 5 journals.
Dissent, Litigation, and Investigation: Hitting the Powerful Where It Hurts
“The Terrorist”: the Out-of-Place and On-the-Move “Perverse Homosexual” in International Relations
Exploring Intergenerational Continuity in Gang Membership
Russia’s Night Wolves Motorcycle Club: From 1%ers to Political Activists


Welcome to Scallywags - Command Client
Enter Your Game Code
Enter Your Nickname
Join Game
Start Game
Join Red Team
Join Blue Team
Play as Navigator
Play as Gunner
Shoot Left
Shoot Right


What’s the cheapest Data plan for your 4G tablet or laptop
by Duncan JaffreySince the demise of the data sharing SIM as a mass market product we are often asked asked what’s the cheapest way of getting a tablet or LTE connected Laptop online. Honestly, the cheapest way is normally to tether to your phone data plan, but many people, myself included find that a bit of a bother.
So what about a Data only SIM plan to get things going? For those with a little extra in the monthly budget the convenience of a constant data connection can be handy, just remember many of these plans don’t come with generous data allowances so I wouldn’t be streaming Disney+ all that often. It’s also worthy considering a plan from your current phone provider as many carriers allow data sharing between accounts.
So if you’re looking for a little data away from home perhaps one of these could meet your needs.


Cashfree Ionic Demo
A Complete Payments Toolkit for India The fastest and easiest way to collect
and disburse payments for growing businesses
Please fill up order details
Order Currency
Indian Rupee
US Dollars
Customer Phone Number
Order Amount
Pay With Cashfree


{% block title %} Error 404 {% endblock title %} {% block stylesheets %}{% endblock stylesheets %} {% block content %}
Sorry, but the page you are looking for has note been found. Try checking the URL for an error, then hit the refresh button on your browser or try found something else in our app.
Dashboard Report Problem


The city of Königsberg in Prussia (now Kaliningrad, Russia) was built around two rivers with seven bridges. For years the residents tried to cross each bridge without repeating any of them. Many claimed they'd completed the walk in the middle of a drunken night, but couldn't repeat the feat in the light of day.
The mathematician Leonhard Euler proved it was impossible to cross all the bridges without repeating any and laid the foundation for graph theory and modern topology.
The Seven Bridges of Königsberg uses crazy maps, bridges, houses, tolls, and subways to create challenging puzzles. The math that drives this game is used in compuer science, bioinformatics, topology, and many other areas.
Each level is designed as a graph, and unlike the real bridges all of these are solvable. For example, the level Tic Tac Toe graphs out like this:
This game was designed and programmed by Zack Grossbart. Zack also created all the levels.
Most of the artwork in this game was created by Robb Perry with a few odds and ends created by Zack.
PJ Belcher developed all of the sounds in this game and did all the audio design.
The Seven Bridges of Königsberg is written in Objective-C and Objective-C++, was created with Xcode, and makes extensive use of the Cocos2d-iphone and Box2d frameworks.
This game is open source and available under the Apache 2.0 license. You can buy it in the App Store, or download the source code from our GitHub page. You can run the game in the simulator for free. If you're an Apple iOS developer you can also load the game on your favorite iOS device.
Special thanks to Kristen Riley, Michael Cerbone, Juan Madrigal, Lyndon Washington, Samuel Higgins, Carol Smigo, Mary Vogt, and everyone else who helped make this game possible.
If you like The Seven Bridges of Königsberg then head over to the App store and give it 5 stars, tweet about it, or share it on Facebook. We appreciate it.
Version 1.2


{% extends "layout.html" %} {% block title %}Settings{% endblock %} {% block head %} {% endblock %} {% block content %}
|
Freq.
|
|
| RSSI | |
| Trigger | |
| Peak |
Don't change a heat after it has a saved race.
|
|
Spelling corrections only after saving races.
| Pilot ID | Call Sign | Phonetic | Name | |
|---|---|---|---|---|
| {{ pilot.pilot_id }} |
| Name | |
| Description | |
| Calibration Offset (Default 8) Trigger is Peak Rssi minus Calibration Offset |
|
| Calibration Threshold (Default 95) Trigger minus Calibration Threshold ends calibration pass |
|
| Trigger Threshold (Default 40) Trigger minus Trigger Threshold ends normal pass |
| Time maximum race time in seconds |
| Time minimum lap time in seconds |


From:
http://www.holoscience.com/news.php?article=2m1r5m3bIf scientists were forced to defend their statements in a court of law under the rules of evidence, most of the misbegotten ideas that make up modern science would never have survived. Physics would have remained in the classical hands of the experimentalists and the engineers who have to make things work. Countless billions of dollars could have been saved in misdirected and pointless experiments.
...Nature does things with exquisite economy. So the commonsense question is simply, “would Nature choose the weakest force in the universe —gravity — to form and light the countless magnificent galaxies?” I don’t think so!


{% import 'partials/section.html' as section %} {% extends "layouts/_onecol.html" %} {% block page_title %}{{ survey_info.longName }} {{ collection_exercise_info.userDescription }} - ONS Business Surveys{% endblock %} {% block main %}
{{ survey_info.shortName }} spreadsheet for {{ business_info.name }} for the period {{ collection_exercise_info.userDescription }}
If actual figures are not available, please provide informed estimates.
Please upload by {{ collection_exercise_info.scheduledReturnDateTimeFormatted }}
{% endif %}We will treat your data securely and confidentially
{% include "surveys/surveys-upload-file-picker.html" %} {% endblock main %}


Remains of 150-Year-Old 'Sea Monster' Discovered in Poland
The massive marine reptile belongs to the pliosaur type of the Jurassic period and is the first finding of that kind for Polish paleontologists.
The bones of a massive sea creature have been found in a cornfield in Krzyzanowice, near the Swietokrzyskie Mountains in Poland, the discoverers of the remains told Science in Poland in an interview.
According to the paleontologists, the fossils found belong to a pliosaur - a 30-foot long and several tons heavy extinct reptile of the late Jurassic period.
"They had powerful, large skulls and massive jaws with large, sharp teeth", one of the discoverers said in the interview.
Fossils of that kind are the first to ever be found in Poland, the researchers said.
The findings of the Polish scientists have been published in the Proceedings of the Geologists' Association scientific journal.
"The new palaeobiogeographical reconstructions of Late Jurassic of Europe are based on the composition of the Krzyżanowice locality and other sites with similar turtle-pliosaurid faunas which formed a long-term, stable ecological sympatry in marine ecosystems of the European Archipelago", the abstract of the published paper says.
Earlier in December, another 180-million-year-old ''sea monster'' from the Jurassic era, with skin and blubber, was found by researchers from North Carolina State University and Sweden's Lund University. The creature is said to look like a modern dolphin and actually belong to a type of marine reptiles called an ichthyosaur.


The ReACT topics
Living systems are characterized by the recurrent emergence of patterns: power-laws
distributions, long-range correlations and structured self-organization in living matter are
the norm, rather than the exception. All these features are also typical of systems poised near a critical point.
The great lesson from Physics is that criticality can emerge as a collective behaviour in a many-body system with simple
interactions and its characteristics depend only on few details, like the dimensionality or the symmetries.
One of the most striking feature of living systems is that they are structured as evolving systems were
interactions can turn-on or off, as well as strengthening and weakening,
reconfiguring the system connectivity. Thus, by rearranging both the structural and
functional topology, living interacting systems may demonstrate unique evolvability,
scalability and adaptability properties.
Among these systems, the brain is probably one of the most impressively complex and
has received a considerable amount of attention in recent years, aided by the vast amount
of experimental data available. The idea that the collective behavior of neurons might
emerge from a self-organized critical state has been widely studied, from its fundamental
mechanisms to its functional advantages, and it poses a fascinating question that is far
from being answered.
It is of crucial importance to make further steps in the understanding of the main properties
that simultaneously confer to these systems high level of adaptability, robustness and
optimality. If we can “learn” from evolution and unravel the basic principles then we would
be able to both better manage/supervise these systems and also design more optimal and
sustainable new systems.


A set of service-level API functions that perform translation of gene mutation text into lexical synonyms and locate these variants within Pubmed article sources.


Apparently, it's not trivial. It's simple. Just not trivial.
The honeycomb height relative to its side is irrational. It's a square root of three to be precise. Luckily, we don't have to be that precise all the time, the computers generally don't work in irrational numbers anyway. The reasonably well-fitting approximation for that will be 97/56, and that's what we'll use in our basis.
So every of the honeycomb's slopy sides should be in proportion of 97 to 56. To make the texture seamless, we have to make it at least 2 honeycombs wide and 2 honeycombs high. That's 3 flat sides wide and 4 sloppy sides high. Or 336 × 388 pixels. Of course, we can scale that but for the best precision possible, we should scale it by an integer number.
Now for the line width. We can choose any width we want but we still operate in a pixel grid. Most of the time we don't want to see actual pixels in our texture. That's what attenuation for. It's a way to smoothly translate black to white with a few greys in between so the lines will appear anti-aliased.
The thing below is the generator. It provides a few options in the UI but if you need more, there is some changeable code too. If you need more freedom, just get this thing on Github.
Hide the explanation


--- layout: post title: BlueDevil 2.0 RC1, (a.k.a BlueZ5 ready) categories: - KDE - Software Libre tags: [] status: publish type: post published: true meta: _edit_last: '2' dsq_thread_id: '2150517759' author: login: afiestas email<EMAIL_ADDRESS>display_name: afiestas first_name: Àlex last_name: Fiestas ---
After months of discontinued work we are happy to announce BlueDevil 2.0 !
The 2.0 version brings the same experience we can find in the 1.X series but using the new BlueZ5 stack which at least on our testing improves a lot the general stability and specially on sending/receiving/sharing files via Bluetooth.
In this major version we have focused on rapidly adopting the new technology so we don't have many changes visible to the user, we have added though a few things we hope you will like.
All parts of BlueDevil are now more aware of multiple adapters, wizard, bluetooth:// (kio) and system tray are some examples.
[caption id="" align="aligncenter" width="296"] BlueDevil 2.0 System Tray[/caption]
The Wizard is now more intelligent than before, it will connect to the right profile automatically making the setup of Mouse, Keyboard and Headsets more pleasant.
Testing
We need a lot of testing! This is major change for BlueDevil and even though we have done our best to make sure the first release is free of bugs it will be a miracle if that's true!
Fill bugs at http://bugs.kde.org under Solid/bluetooth version 2.0-rc1, it is important that you set the version since 2.X bugs will be given more priority.
Finally I'd like to thank Daniel Schaal who did most of the work in libbluedevil and ported other bits in the applications.
Downloads:
As always you can find the tarballs in http://downloads.kde.org (bluedevil, and libbluedevil).


randRange( 0, 3 )
[ [ school(1), school(2), school(3), school(4) ], [ person(1), person(2), person(3), person(4) ], [ person(1), person(2), person(3), person(4) ], [ "Alabama", "Michigan", "New York", "Wyoming" ] ][ INDEX ]
[ [ "3rd grade", "4th grade", "5th grade", "Total" ], [ "January", "February", "March", "Total" ], [ "1st Quarter", "2nd Quarter", "3rd Quarter", "4th Quarter", "Final" ], [ "Q1", "Q2", "Q3", "Q4", "Total" ] ][ INDEX ]
(function() {
var enrollments = [];
var classMin = [ 60, 0, 2, 20 ][ INDEX ];
var classMax = [ 80, 6, 10, 40 ][ INDEX ];
for ( var i = 0; i < ROWS.length; i++ ) {
var enroll = randRange( classMin, classMax, COLUMNS.length - 1 );
var total = 0;
jQuery.each( enroll, function( i, e ) {
total += e;
} );
enroll.push( total );
enrollments.push( enroll );
}
return enrollments;
})()
randRange( 0, COLUMNS.length - 1 )
randRange( 0, ROWS.length - 1 )
ENROLLMENTS[ ROW_INDEX ][ COL_INDEX ]
[ "shows the enrollment at four different elementary schools that have 3rd through 5th grade students", "shows the number of chickens sold by four friends from January to March", "indicates the points scored by four players in a charity basketball game", "shows solar panel installations by state during the last fiscal year" ][ INDEX ]
(function() {
if ( COL_INDEX === COLUMNS.length - 1 ) {
return [ "How many students does " + ROWS[ ROW_INDEX ] + " Elementary School have in total?", "How many chickens did " + ROWS[ ROW_INDEX ] + " sell in total?", "How many points did " + ROWS[ ROW_INDEX ] + " have in total?", "How many total solar panels were installed last year in " + ROWS[ ROW_INDEX ] + "?" ][ INDEX ];
} else {
return [ "How many " + COLUMNS[ COL_INDEX ] + " students does " + ROWS[ ROW_INDEX ] + " Elementary School have?", "How many chickens did " + ROWS[ ROW_INDEX ] + " sell in " + COLUMNS[ COL_INDEX ] + "?", "How many points did " + ROWS[ ROW_INDEX ] + " score in the " + COLUMNS[ COL_INDEX ] + "?", "How many solar panels were installed in " + ROWS[ ROW_INDEX ] + " in " + COLUMNS[ COL_INDEX ] + "?" ][ INDEX ];
}
})()
[ "students", "chicken(s)", "points", "solar panels" ][ INDEX ]
[ "the student enrollment at " + ROWS[ ROW_INDEX ] + " Elementary School", "the number of chickens sold by " + ROWS[ ROW_INDEX ], "the number of points scored by " + ROWS[ ROW_INDEX ], "the number of solar panels installed in " + ROWS [ ROW_INDEX ] ][ INDEX ]
(function() {
if ( COL_INDEX === COLUMNS.length - 1 ) {
return [ "the total number of students at each school", "the total number of chickens sold by each person", "the total number of points scored by each person", "the total number of solar panels installed in each state" ][ INDEX ];
} else {
return [ "the number of " + COLUMNS[ COL_INDEX ] + " students at each school", "the number of chickens sold in " + COLUMNS[ COL_INDEX ], "the number of points scored in the " + COLUMNS[ COL_INDEX ], "the number of solar panels installed in " + COLUMNS[ COL_INDEX ] ][ INDEX ];
}
})()
[ "There are " + ANSWER + " " + COLUMNS[ COL_INDEX ].toLowerCase() + " students at " + ROWS[ ROW_INDEX ] + ".", ROWS[ ROW_INDEX ] + " sold " + ANSWER + " chicken" + ( ANSWER === 1 ? "" : "s" ) + " in " + ( COL_INDEX === COLUMNS.length - 1 ? "total" : COLUMNS[ COL_INDEX ] ) + ".", ROWS[ ROW_INDEX ] + " scored " + ANSWER + " points in " +( COL_INDEX === COLUMNS.length - 1 ? "total" : "the " + COLUMNS[ COL_INDEX ] ) + ".", "There were " + ANSWER + " solar panels installed in " + ROWS[ ROW_INDEX ] + ( COL_INDEX === COLUMNS.length - 1 ? " last year" : " in " + COLUMNS[ COL_INDEX ] ) + "."][ INDEX ]
The table below PROBLEM.
QUESTION
rowenrollment
ANSWER UNIT
The blue row shows ROW_HINT.
jQuery( ".fake_row" ).eq( ROW_INDEX ).find( "span" )
.css( "background", KhanUtil.BLUE );
The orange column shows COL_HINT.
var nth = ":nth-child(" + ( COL_INDEX + 2 ) + ")";
jQuery( ".fake_row span" + nth )
.css( "background", KhanUtil.ORANGE );
jQuery( ".fake_header span" + nth )
.css( "background", KhanUtil.ORANGE );
jQuery( ".fake_row" ).eq( ROW_INDEX ).find( "span" + nth )
.css( "background", "#aaa" );
FINAL_HINT


Number Base Converter
Please select a base, enter the number in the selected base and click 'Convert'.
The source number will be converted to Binary, Octal, Decimal and Hexadecimal
Please select a base, enter the number in the selected base and click 'Convert'.
The source number will be converted to Binary, Octal, Decimal and Hexadecimal


The Pritchard-Stephens-Donnelly (PSD) admixture model has k intermediate subpopulations from which n individuals draw their alleles dictated by their individual-specific admixture proportions. The BN-PSD model additionally imposes the Balding-Nichols (BN) allele frequency model to the intermediate populations, which therefore evolved independently from a common ancestral population T with subpopulation-specific FST (Wright's fixation index) parameters. The BN-PSD model can be used to yield complex population structures. Method described in Ochoa and Storey (2016) <doi:10.1101/083923>.
| Version: | 1.0.1 |
| Imports: | stats |
| Suggests: | popkin, testthat, knitr, rmarkdown, RColorBrewer |
| Published: | 2018-01-16 |
| Author: | Alejandro Ochoa [aut, cre], John D. Storey [aut] |
| Maintainer: | Alejandro Ochoa <ochoa at princeton.edu> |
| BugReports: | https://github.com/StoreyLab/bnpsd/issues |
| License: | GPL-3 |
| URL: | https://github.com/StoreyLab/bnpsd/ |
| NeedsCompilation: | no |
| Citation: | bnpsd citation info |
| Materials: | NEWS |
| CRAN checks: | bnpsd results |
| Reference manual: | bnpsd.pdf |
| Vignettes: |
Simulate Genotypes from the BN-PSD Admixture Model |
| Package source: | bnpsd_1.0.1.tar.gz |
| Windows binaries: | r-devel: bnpsd_1.0.1.zip, r-release: bnpsd_1.0.1.zip, r-oldrel: bnpsd_1.0.1.zip |
| OS X binaries: | r-release: bnpsd_1.0.1.tgz, r-oldrel: bnpsd_1.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=bnpsd to link to this page.


Query Providers
The IQueryFor<>
interface that a query implements is just a marker interface.
Meaning that there is really nothing to implement. Instead of having a fixed interface there is a convention in place. Bifrost will look for a property called Query that has a public getter. From this it looks at the returntype and discovers from types loaded if there is a IQueryProvider
implementation for that return type.
The purpose of the IQueryProvider
is to provide the capability to deal with the cross cutting aspects of querying, such as paging. This is not something we want to build into the queries we create, as it is a frontend concern and something we can provide as metadata from the frontend when performing a query. Out of the box comes support for IQueryable
- both generic and non-generic.
Implementing
Implementing a provider for your return type is fairly straight forward.
All you need to do is implement the IQueryProviderFor<YourReturnType>
.
The return type is typically the base non-generic type and Bifrost will understand if you return a specific generically typed version of that - as long as it points to the base type.
The implementation needs then to take care of providing the count of elements and if paging is enabled in the PagingInfo
metadata, just do the right thing for the type coming in.
Below is a very simple implementation of a provider for IQueryable - in fact, pretty much the same that sits inside Bifrost.
public class QueryableProvider : IQueryProviderFor<IQueryable>
{
public QueryProviderResult Execute(IQueryable query, PagingInfo paging)
{
var result = new QueryProviderResult();
result.TotalItems = query.Count();
if (paging.Enabled)
{
var start = paging.Size * paging.Number;
query = query.Skip(start).Take(paging.Size);
}
result.Items = query;
return result;
}
}
Custom type
Lets say you create your own type that represents collections of data:
public interface ICustomQuery
{
// Your functionality
}
public interface ICustomQueryFor<T> : ICustomQuery
where T: IReadModel
{
// Your functionality
}
The query provider could then be something like this:
public class CustomQueryProvider : IQueryProviderFor<ICustomQuery>
{
public QueryProviderResult Execute(ICustomQuery query, PagingInfo paging)
{
var result = new QueryProviderResult()
result.TotalItems = query. /* provide the total items */
result.Items = query. /* do my paging thing, if needed */
return result;
}
}
When using it in a query, you simply do:
public class MyReadModel : IReadModel
{
}
public class MyQuery : IQueryFor<MyReadModel>
{
public ICustomQueryFor<MyReadModel> Query
{
get
{
return /* Get the custom query from somewhere */
}
}
}


Class Controller
Cygnite Controller Generator
This class used to generate controller code
Namespace: Cygnite\Console\Generator
Author: Sanjoy Dey<EMAIL_ADDRESS>Located at Console/Generator/Controller.php
Author: Sanjoy Dey<EMAIL_ADDRESS>Located at Console/Generator/Controller.php
public
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public
null
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public
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public
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public
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public
null|string
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public
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public
boolean
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public
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public
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public static
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public
boolean
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public
mixed
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$controller |
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public
mixed
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$applicationDir |
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public
boolean
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$isFormGenerator | false |