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[gecode-users] Stopping Gecode Engine gracefully
Maity, Ashis K
ashis.k.maity at lmco.com
Thu Apr 8 23:15:17 CEST 2010
Hi Guido,
Appreciate for the prompt reply! I am already using c_d to max with no a_d. Isn't that good for max memory utilization (though it is bad for processing time)? Or do you suggest something else?
opt.c_d(20000000); // computation distance
//opt.a_d(1000); // adaptive computation distance
Thanks,
Ashis
-----Original Message-----
From: Guido Tack [mailto:tack at gecode.org]
Sent: Thursday, April 08, 2010 4:19 PM
To: Maity, Ashis K
Cc: users at gecode.org
Subject: Re: [gecode-users] Stopping Gecode Engine gracefully
Hi,
you can implement your own Stop object by inheriting from Search::Stop. If you add it to the options of your search engine, the engine periodically calls its stop function. Simply return true there to stop the search.
Gecode will always use all the heap it can get if it needs it, the limits in memory-config.hpp only affect in what chunks heap memory is allocated. If you have memory problems, you should try different recomputation parameters (parameters c_d and a_d in the search options).
Cheers,
Guido
Maity, Ashis K wrote:
> Hello,
>
> How do I stop the Gecode engine gracefully at any time (driven by user's request) when I start it the following way? I know it can be stopped by setting time limit, node limit etc. But I want to stop engine at any time and collect the result until that point. Do I overload the run method to get access to Engine or is there another way?
>
> MinimizeScript::run<Scheduler, BAB, SchedulerOptions>(opt); (Scheduler inherits MinimizeScript)
>
> Also, I am running into memory trouble as heap memory is getting exhausted. Would increasing the heap size through memory-config.hpp help?
>
> Thanks so much,
>
> Ashis
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
--
Guido Tack, http://people.cs.kuleuven.be/~guido.tack/
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The set up for the web is simple.
Remembering everything from this lessen is not critical because
google is our friend.
JUST GOOGLE IT
Let's talk a little more about HTML, CSS, JavaScript
Inline and block were a little tricky to understand. Block puts a virtual box around text giving it
characteristics that can be changed (ie height and length)
In a browser, this structure shows up as a series of nested boxes. There are boxes inside of boxes inside of boxes, and so on...
The relationship between indented HTML and boxes. When you read an HTML document as text, you see a wave of changing indentations going up and down the left side of the document. The more indented an element is, the more deeply nested it's corresponding "box" is.Text Editors (for programming) When writing code, programmers use special text editors (like Sublime Text for example). These editors make the programmer's life easier. For example, some text editors will automatically generate a closing HTML tag when you write an opening tag.
A quick reminder of what DOM is:
Click for "What is DOM" from W3C
Inheritance is a key feature in CSS, it relies on the ancestor-descendant relationship to operate. Inheritance is the mechanism by which properties are applied not only to a specified element, but also to its descendants.[11] Inheritance relies on the document tree, which is the hierarchy of (X)HTML elements in a page based on nesting. Descendant elements may inherit CSS property values from any ancestor element enclosing them. In general, descendant elements inherit text-related properties, but box-related properties are not inherited. Properties that can be inherited are color, font, letter-spacing, line-height, list-style, text-align, text-indent, text-transform, visibility, white-space and word-spacing. Properties that cannot be inherited are background, border, display, float and clear, height and width, margin, min- and max-height and -width, outline, overflow, padding, position, text-decoration, vertical-align and z-index. For font CSS reference:
The office hour video really helped me understand Divs and Spans. Div's should be used to define the block structure on a page. Spans separate information to the next "line / inline", but don't create a block. The second office hour really focused in on the structure of an HTML document


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-
Generative Art - A Meditation
Give the computer an instruction. Tell it to draw a circle here. Make the circle move and change colors according to the music. How about according to your mood? Is that possible? How about adding some pseudo-randomness. What if we make the circle morph and shape-shift into all the things we enjoy. Elephants, a couch, books, paneer, a moment to spare. Like an ensless parade. A dream. Meanwhile the music is still blaring. Oh, I think that would be swell. …
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From Nand to Tetris: Learning Software Engineering Fundamentals
We all have different paths to how we learned in order to become software engineers. Some of us learn it on their own, watching tutorials online, some reading books, some through experience, some majored in Computer Science in college, and others took some classes or a bootcamp. No matter the approach, a strong grasp of first principles is crucial. …
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Koans: Ancient wisdom applied to learning new programming languages
Something that has tremendously helped me on my journey as a Software Engineer is learning through Koans. …
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Hello World
So here we are. I finally have my own space on the web. I will post on an assortment of topics. Mainly about programming, the arts, travel, and my own thoughts. Even if the topics are dispersed I will try to use tags to taxonomize as best as I can. Most importantly, I’ll try to be consistent, and stick to this. Even if it means posting very short things to begin with. Hopefully that way I can find a rythm. …


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Open the console: both portals will print out IntersectionObserver callbacks for the cat image with the root element.


Hosea 9:13
Ephraim, as I saw Tyrus, is planted in a pleasant place: but Ephraim shall bring forth his children to the murderer.


About Me
Hi there, I'm Kevin. I'm a Software Engineer at Bloomberg in NYC.
I graduated from Purdue University in May 2019 with a Bachelor of Science degree in Computer Science with a concentration in Software Engineering (GPA: 3.75/4). My primary interest is in back end software engineering. A secondary topic that fascinates me is data analytics.
Work Experience
Bloomberg
Software Engineer1/2021 - Present — NYC
- Developer on the Latin American Feeds & PFCOs team. Team is responsible for connecting to Latin American stock exchanges and certain non-stock-exchange-firms, parsing data, and sending structured data to downstream Bloomberg teams. Work is primarily in C++ and Python.
- Modernized (i.e. rewrite or incrementally improve) legacy market data parsers to increase reliability and meet internal quality/behavioral standards
Squarespace
Software Engineer6/2019 - 1/2021 — NYC
- Built a distributed, fault-tolerant, and horizontally scalable data deduplication Java microservice capable of processing >25,000 events/second in collaboration with a data engineering team; service leveraged Kafka transactions and partitions to shard incoming events into the microservice hosted on Kubernetes
- Reduced processing times by 90% for certain critical operations in Praetor (an internal Go gRPC microservice for A/B testing and feature flagging) while improving reliability and safety; evangelized Praetor to other teams and orgs within the company
- Built a blackbox monitor in Go to measure the reliability and responsiveness of Praetor and to output metrics to Prometheus/Grafana with new alerting functionality
- Held primary responsibility for monitoring and responding to issues arising in production for the company's main traffic-serving system (along with all systems/services owned by my team) during on-call shifts; also provided support for other engineers
Capital One
Software Engineering InternSummer 2018 — McLean, VA
- iOS developer in consumer banking business
- Prototyped an iOS app in Swift that interfaces with internal APIs/microservices
- Sourced and utilized an open source library for interacting with a Go server via WebSockets
Clarity Partners
Associate Software Engineer InternSummer 2017 — Chicago, IL
- Developer on the Chicago Police Department team using C# with ASP.NET MVC and Oracle SQL
- Rewrote multiple data warehouses search applications (originally in Visual Basic) using ASP.NET MVC
- Analyzed, architected, and rewrote web application (originally in Perl) for police lineups. Police lineups are a series of mugshots shown to a victim/witness of a crime wherein the victim/witness will point out a suspect. This process, if conducted fairly, is admissible evidence in court. Work includes database layer, web UI, everything in between, and a robust audit log system.
Krannert Computing Center
Student Developer5/2016 - 4/2017 — West Lafayette, IN
- Full stack developer on ASP.NET MVC web applications used University-wide.
- Automated tedious and error-prone processes to achieve time savings of >90%.
- Implemented scheduling appointment capability in a calendar utility used University-wide.
Portfolio
Fiscus
A portfolio tracking website built to fulfill the senior software engineering project requirement. Designed, architected, and built a web application using Bootstrap, Node.js, Postgres, and Redis in an agile team environment. Featured as one of the best senior projects for the Spring 2018 semester.
MarketWatch API
An unofficial Python wrapper for programmatically interacting with the stock trading game hosted on MarketWatch. Analyzed and reverse engineered the MarketWatch website to create a lean, robust, and well-documented wrapper.
Skills
Best
Go
Kubernetes
gRPC
Better
Python
SQL
Kafka
Good
Java
JavaScript/Node.js
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B.S. in Computer Science from the University of Tennessee at Knoxville
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Table of content
- Pintu and Fruits (CHPINTU)
- XOR Engine (ENGXOR)
- ADA BISHOP 2 (ADASHOP2)
- Lasers Everywhere (LAZER)
- Chef and DAG (CHEFDAG)
Pintu and Fruits CHPINTU
Original Problem Link: CHPINTU
Solution Author Name: Hritik Seth linkedin link
Prequisutes: Basics of array/list indexing and mathematics.
Explaination: Well the problem was quite easy.It only check your basics in any programming language. It was based on the concept of count array/list. We only have to count the minimum number of basket cost required for the fruits. So I firstly subtracted 1 from every type of fruit and stored it in a list so that basket of type 0 can be included while calculating then I store total cost of the corresponding basket at the corresponding index. After the cost is stored (index being the basket type), I finally find the the basket type with minimal cost in the list and printed it.
XOR Engine
Original Problem Link: ENGXOR
Solution Author Name: Himanshu Shukla
Prequisutes: Observation
Explaination: Observation
1. (EVEN number of bits NUMBER)
XOR (ODD number of bits NUMBER) = (ODD number of bits NUMBER)
2. (ODD number of bits NUMBER) XOR (ODD number of bits NUMBER) =
(EVEN number of bits NUMBER)
3. (EVEN number of bits NUMBER) XOR (EVEN number of bits
NUMBER) = (EVEN number of bits NUMBER)
Get initial count of even bit numbers(x) and odd bit numbers(y)
present in array.
When a query P comes check whether P is even bit number or odd bit
number, if P is even bit number print x and y else print y and x.
ADA BISHOP 2
Original Problem Link: ADASHOP2
Solution Author Name: Himanshu Shukla
Prequisutes: Basic Graph Traversal Algorithm, Observation
Explaination: Well I have seen many programmers hardcoding solution. Solution I am going to present is quite general and works even with N X N chessboard with some modification to solution presented below. Solution presented below is based on graph traversal algorithm called DFS(Depth First Search).
Construct a graph which is not going to change with testcases,
(u,v) where u = (a,b), v = (c,d) is an undirected edge in graph if
u and v represents black cell and bishop can move from u to v and
from v to u beforehand. This can be constructed in O(N X N) time
for general N X N chessboard.
Whenever a query src = (r,c) comes keep a counter rem(here
initially rem = 32), perform a DFS considering src as root and
keep on pushing cells in ans array till rem becomes 0.
Finally print the ans array.
Main observation here is number of cell visited will not become
greater than 64 each cell is visited atmost twice and number of
black cell is 32 so number of cell visited is always less than
equal to 64 (loose upper bound).
Lasers Everywhere LAZER
Original Problem Link: LAZER
Solution Author Name: Mohammed Shahraaz Hussain
Prequisutes: Range Query Tree(Segment Tree or Fenwick Tree), Line Sweep Algorithm intuition
Explaination: We can imagine Problem to be some set of adjacent towers and wires connecting adjacent towers. Each tower has different height.
When ever a query is asked you can assume that a light is to be
shot from x1 to x2 at height h. Which is pretty straight forward.
While processing a query what must be done? here we must be quite
strategic. here we need to process the queries offline.
now we need to think of lines as some structure. for each line we define a start point, end point. Starting point is the point on with higher y cordinate and end is the one with lower y cordinate. if a line is horizontal we consider the left point as start point and right point as end point.
Guess where we are headed! Split the line. Start point and end Point.
Now we need to define some points as events points. These is where we do some computaion for our queries. here start point, end point and queries are the event points.
Now decide how to process the event points. In the mean while we will define our event point staructre. First Observation We need to process the event points from Top to Bottom by height. If the events have same height we need to process start points first, then queries and finally the end points.
When a start point is detected we add 1 at the left idx of the line. When a end point is detected we substract 1 from left idx of the line. when a query is detected we do a range query on the left idx and right idx-1 of the query(Finally store then by their query idx). If range query is done slowly we will fail. So we need to use Segment Tree or Fenwick Tree(Link to refernce in the roadmap section).
Chef and DAG
Original Problem Link: CHEFDAG
Solution Author Name: Written By: Himanshu Shukla Credit: William Lin
Prequisutes: Minimum Path Cover on DAG, Maximum Bipartite Matching, Maximum Flow
Resources
Link : Minimum Path Cover on DAG
Solution
Original Commented Code: tmwilliamlin's Solution


One of the main greenhouse gases is carbon dioxide (CO2).
As trees grow they take in CO2 from the air. When the wood dies the CO2 is returned to the air. Forest clearance and wood burning (such as happens in tropical rain forests) is increasing the latter half of the process, adding to the CO2 in the atmosphere. Deforestation is now out of control. For example in 1987 an area of the Amazon rain forest the size of Britain was burned, adding 500 million tonnes of CO2 to the atmosphere. The loss of the forests also means that there are fewer trees to absorb CO2
However, as large a contribution as deforestation makes , it causes less than half the yearly total of CO2, the rest comes from the burning of coal, oil and other fossil fuels. These fossil fuels are burned in cars, power stations and factories of the wealthier nations such as the USA, Western Europe and the USSR. The concentration of CO2 has increased 25% since the industrial revolution, half of this rise has been in the last 30 years. It is expected to double within decades.
Televisions, lights and computers use electricity that is created mainly from burning oil and coal. This is why saving energy by doing simple things like turning off the lights helps to reduce pollution. Cars are also major sources of CO2.
It is also accepted that those of us living in the Western world, or more developed countries contribute far more to this problem than those in developing countries. The average European is responsible for nearly 2.5 times as much atmospheric carbon as a Latin American.
For more information see Pollution factsheets and to find out more about fossil fuels take a look at Energy. Related factsheets include Acid Rain, Meat free Mondays, Our Battered Biosphere


Resume
Objective:
Seeking a Software Engineering Internship during the summer of 2020
Education:
Bachelor of Science, Software Engineering (pursuing) May 2022
Rose-Hulman Institute of Technology, Terre Haute, IN 3.62/4.0 GPA
Related Courses: Object-Oriented Software Development, Intro. to Computer Systems, Data Structures and Algorithm Analysis (upcoming), Computational Architecture I (upcoming)
Skills:
- Python, Java, C, Arduino, MATLAB, Maple, Windows, Microsoft Office Suites
- Soldering
- Built motorized robot with necessary sensors to be able to accomplish goals autonomously
- Wrote software in Arduino to allow the robot to be operated manually and autonomously
- Recreated platforming game to specifications using Java
- Eagle Scout 2017
- Rose-Hulman Dean’s List 2018-2019
- Rose-Hulman Merit Scholarship 2018-current
- Valedictorian, Charleston High School 2018
- Worldwide Youth in Science and Engineering Regional finalist 2017-2018
- Illinois State Scholar 2018
- Coordinated four blood drives
- Advertised and found location for each blood drive
- Coordinated Boy Scout involvement with each blood drive
- Charleston High School, 2018 Class President 2014-2018
- Boy Scout Troop 141, Senior Patrol Leader 2016-2018
- Assembly of Rose-Hulman Catholic Disciples, Vice President 2019-current
- Rose-Hulman Music Ensembles (Concert, Jazz, Pep), Saxophone 2018-current
- Software:
- Machine Shop:


| DOSE: T+ 0:00 |
15 g |
oral |
Kratom |
(tea) |
| T+ 1:45 |
|
smoked |
Cannabis |
(plant material) |
Dose:
Approximately 15 grams of dried Kratom (Mitragyna speciosa) leaf, moderately crushed, is boiled twice in 12 ounces of water each time. The resulting brew is strained and consumed orally. The kratom was sold by a reputable vendor and supposedly verified as authentic by chemical analysis.
Body Condition:
I am a Caucasian male, 25 years old, and 125 lbs. I eat a balanced and healthy diet, take multi-vitamin supplements, avoid caffeine and nicotine, am a very moderate alcohol drinker, and regular cannabis smoker. I rarely use other substances.
I smoked cannabis yesterday. I also consumed 5 teabags of ginseng as tea over the course of yesterday. Three light beers were consumed at least 15 hours prior to this Kratom experience. No OTC or prescription medication has been taken recently.
Set and setting:
I am alone in my apartment after just waking up on a Sunday morning. After two experiences with low doses of this same batch of kratom, I know of the stimulating effects. I have a fair amount of work to get done on my day off and could use a boost. After reading that 15 grams creates a ďmoderateĒ experience, I decide to put the pot on the stove and make myself some breakfast tea. 15 grams does not seem like a lot since I have read of only ďslight nauseaĒ with 25 grams or more and that a 50 gram dose is ďprofoundly euphoricĒ.
T
The first batch of liquid is quickly consumed on an empty stomach. This liquid from the first boiling is extremely bitter but is effectively mellowed with honey.
T + 5 minutes
Effects have started to be noticeable already. This feels similar to a mild caffeine buzz, from a soda or something.
T + 15 minutes
Liquid from second brewing is consumed quickly. It is much less bitter, so no honey is used.
T + 30 minutes
Effects have continued to build and now are rather strong. I am moderately jittery and paradoxically tranquil in an agitated dream-like state. My mindís imagery is that of floating objects, like ducks on a pond, but my hands shake as I type this report. There is only mild euphoria in comparison to alcohol, cannabis, tobacco, or even caffeine. I feel warm all over.
T + 45 minutes (The rest of this report is being written post-experience out of necessity.)
Effects have continued to intensify. I have some difficulty re-focusing my eyes quickly so when I look around there is a visual strobe-like effect. This is comparable to the balance and visual distortion induced by threshold amounts of salvia divinorum.
At about this time I phone a friend to tell him I'm getting non-imagined effects from a legal herb. I have some trouble speaking my thoughts clearly though I donít think I sound intoxicated. It is more like verbal apathy in a person who is usually quite talkative. At this time I am also becoming warmer, bordering on hot, sweaty, and dizzy, like Iíve been spinning on a merry-go-round. Things quickly are becoming unpleasant.
T + 50 minutes
I get off the phone so I can take a walk outside before I hurl. It is chilly outside but I go out in a short-sleeve shirt and walk around at a brisk pace. I feel pretty energetic and things are okay (Iím not writhing on the ground in dizziness) as long as I donít try to focus my eyes on anything too quickly or stop moving. In fact, focusing on one thing only, like the ground or a thought, really seems to help. When I stop moving or go back in my apartment, which now subjectively has a swampy atmosphere, I begin feeling very dizzy and sick.
T + 1 hour
The walking is no longer helping but only making things worse. I decide that vomiting is going to be inevitable so I go inside and wait by the toilet. I gag once but nothing comes up. I am trying to just remain calm, not necessarily to resist vomiting. As long as I just sit here next to my good friend, the toilet, staring mindlessly at the floor, my nausea is manageable. Closing my eyes helps mellow the dizziness too and I keep drifting off to sleep for minutes at a time.
T + 1 hour, 20 minutes
Opening my eyes or standing up brings on the queasiness full-force, but somehow I am able to retrieve the phone and sober up long enough make a due phone call. My porcelain companion remains beside me throughout the correspondence. Talking is very difficult because of the nausea and my comprehension is slightly deteriorated. The phone call lasts ten minutes and then Iím free again to wallow in my sickness.
T + 1 hour, 45 minutes, +
I manage to abandon my post and make it to the den to smoke a little cannabis. It certainly does help, but not as much as I wish. I lie down and enter a twilight sleep state for the next 7 hours, waking twice to smoke more cannabis and drink some water. The water almost brings the onslaught of vomiting, but I am able to keep it down since I know Iím dehydrated by this point.
T + 10 hours
I am typing this sentence about myself typing this sentence in real-time now. I feel good enough to move around without running to the toilet, but I still have a headache and feel dizzy. I compare the experience to two things. Early on it was like the first time I tried ďdippingĒ tobacco (the quid-method) as a non-smoker and got an extremely pleasant climb in effects collapsing into extreme disorientation and nausea. However, both these effects were stronger with tobacco. The dizziness that Iíve felt since things really went bad is comparable to an alcohol hangover. The dizziness and nausea related to movement and light are present, minus the intensity of the headache.
Conclusion:
I slept all day.  I got no work done. No insights, no motivation, and a feeling of gullibility. Thereís a mess of kratom preparation in my kitchen that I donít want to clean up right now. Oh yeah, I obviously havenít eaten all day either.
Kratom, at doses of 5, perhaps even 10 grams, is agreeable with me and mild in effects. I should note that these mild effects carry a feeling of 'emptiness', leaving me yearning for more. 'More' was 15 grams, but 'more' was also unfortunately nothing but a disaster!
Afterthoughts:
These types of disasters, also including my big blunder once with yohimbe tea and residual ephedrine in my system; my unwise, solitary, and intensely frightening salvia level 4 or 5 trip; the erosion of my throat and lungs by trying to smoke a feeling from other ridiculous herbs like catnip, blue lotus, hops, etc.; all are primary reasons I always fall back on cannabis. It is consistent and reliable in its gently uplifting, not disabling, effects, and much more euphoric than this kratom could ever be.
I think Iíll stick with the illegal drugs for a while since they seem to be much safer and reliable than any legal ones.
*Even mild caffeine doses give me a terrible reaction, so unpleasant that I avoid it entirely.
*Alcohol has done nothing but cause problems in my family I avoid it for the most part.
*Nicotine is terribly addictive and Iíve beat that habit twice already.
*Ephedrine makes me jittery and uncharacteristically angry.
*DXM packs a helluva hangover.
*Yohimbe is an MAOI.
*Salvia is creepy.
*KratomÖ well, you just read this didnít you?
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


I've smoked salvia once before with a friend back home, and i got only a slight visual disturbance and a faint trippy feeling for a little while. recently, i decided to give it another chance, having read numerous reports of an intense trip for a manageable time, as i have not had the time to trip anymore (nor the resources). so i set about procuring some online. fast forward a week, and it's here.
my mindset was one of agitation at my lab group when i entered my room, but then i found a note saying that i had a package. this shifted my mood significantly toward the gleefull side of the spectrum. by the time i was in my room gazing upon the five brown vials, each containing 1.1 grams of salvia 5x extract, i was quite optimistic and ready to undergo a good ego twist.
so i waited, psyching myself up by relaxing and setting everything up, for a friend, C, to get back. I don't know who else here i'd trust to trip-sit.
[/background]
he arrived, and i smoked approximately .11 grams in a 'waterfall' type bong. i held the hit until i felt the effects, some 30 seconds later. immediately there was a change in cabin pressure (really!). the spatial dimensions around me bent, as if there were suddenly more than 360 degrees in a circle. i could feel the power of this substance, with a sense of being blasted into a new space toward a fixed point, but as my inebriation approached this point, i curved back toward baseline. i sweat profusely.
I was frustrated and decided to smoke another. i felt as if i could learn this substance and break through. another approximately .11 gram waterfall was loaded and fired. this time, i closed my eyes and concentrated on the effects of the drug. pinwheel patterns of fractals formed on my eyelids and spread, as if crystalizing. i notified C of the closed eye visuals. ego is off. I open my eyes to check the situation out there. the bed i sit on is miles wide, yet the window, which is normally positioned a full meter away at least, is right beside me as i listen to some people talking outside. i sweat profusely. but again, i could feel something big just above where my inhalations had taken me.
C asks me how it is when i am grounded. I describe it as 'strange, powerful, and intense.' he decides to do a small bowl, about .06 grams, just to get a taste. he smokes it in a homemade water bong. for the first 30 seconds or so, he experienced no effects. all of a sudden, he says 'whoa wait...' and looks toward the windows. in about a minute of 'that is strange... but cool' talk, he was fully back to consensus reality. he described the experience: 'i looked over, and the dimensions of the room stretched. the windows were a mile away. 'it felt really weird, but i liked it'. a man of few words, unlike myself.
i was determined to break through. I liken this idea to the plateaus experienced with DXM, only with salvia, i have only reached two plateaus. i have read of a 6 stage explanation (acronym: SALVIA. coincidence?), but i believe some of the effects that they seperate into categories overlap.
theories aside, i packed the bong with a vial capful of salvia, i'd say .16 grams. i smoked it all in one hit and held, laid down, and chilled to some very mellow, quiet music played by my room mate, J. I definitely broke through. objects of the room are now the basis for fractal spirals. the music sounds distant, and the sound of an acoustic guitar puts me in the middle of a wasteland at midnight near a fence and wooden house. a girl sits on the fence, and she carries a spiritual quality. she smiles, and her thoughts run like a ticker tape through my stream of consciousness.
i sit up. The room is fluorescent pink, with the flavor of a 70's movie. a rotating green 2 dimensional fractal (i know, that doesn't make sense, but imagine a fractal of less than 2 dimensions slapped onto a 2 dimensional plane) bisects the room. slightly resembles being on the inside of a box that a magician saws in half. this hallucination disintegrates into a collection of almost pill-looking cartoony single-color units with faces, almost as if the pixels on a screen had jumped off and had personalities within your own. this new room looks like reality, but is also quite cartoony. my friends dissappear in the same manner when one speaks to me: 'are you alright?' but words have no meaning. these pixel creatures flood my view, spiraling and cascading, dimensions flipping, twisting, and stretching. the faint music catches my foot and drags me from the stratosphere as i recover (not really an appropriate term...) and reply with 'what? what'd you say?' back on earth.
[discussion]it wasn't anything like that, but the best metaphors are the closest thing available to descriptions of the effects. there aren't words in the english language to describe this unique experience, as every trip is.
Overall, salvia divinorum is the strangest place i've ever been. i had previously described DXM as strange, but the character is incomparable. DXM is a more passive strange, where things are strange in their very being, while salvia produces a more intense strange that flaunts itself in its power. in comparison to other psychedelic categories, salvia hallucinations are quite unique. the eye candy produced by the lower phase (dimensional stretching, CEVs) seemed similar to tryptamines in that the hallucinations were integrated into reality. once i broke through, it was as if reality was integrated into the visuals instead. it's a question of causation, almost.[/discussion]
anyway, tonight i'm going to try chewing the stuff to achieve a smoother, more workable neurological environment.
==================================
heh, i screwed up the chewing experiment last night. after 15 minutes of no effects, i swallowed the stuff, thinking it wouldn't work. i knew that one was supposed to chew it for half an hour, but i had assumed the effects would come on within ten or fifteen minutes. this assumption was wrong. according to daniel siebert, effects are not noticeable until the 20 minute mark or so. after reading this, i decided that i didn't have the grim determination and willpower to keep the stuff, which tastes like strongly bitter oregano, in my mouth and continue chewing for half an hour. also, the amount that must be chewed to feel effects was more than i was willing to sacrifice to the experiment.
anyway, i have noticed a few unique properties of salvia that deserve discussion, or at least to be pointed out. the first is that right after the more intense experiences, i remembered very little of what happened. for an hour or two, i would be sitting there, minding my own business, and i would keep remembering little things about my trip. when i'd trip again, i would be able to remember everything about my past trips, as if salvia has its own little packet of memory that is only accessible in this state.
the other property is one i've mentioned, the question of causation. i'm beginning to think that the point i felt myself approaching in my first two trips was the equilibrium point between reality and salvia. before breaking through, hallucinations emerge from reality (like my room mate's hair growing horns... that was cool), but after, reality is secondary, and is dictated by salvia's laws. it's like going from:
consciousness = r(s(x))
to
consciousness = s(r(x))
one is always seen in the context of the other, and the breaking point is where the situation flips. perhaps kappa opioid receptors, which salvinorin affects, mediate the integration of thought and sensory data. i'd love to see a map or list of where kappa receptors are concentrated. i'll have to add this idea to my list of graduate study possibilities =). anyway, happy exploring, everybody.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Food Categories
| ID | Name | Description |
|---|---|---|
| 0001 | Appetizer | Savory dishes to start the main course with |
| 0002 | Main course | The essence of a meal |
| 0003 | Dessert | Sweet dishes to end the main course with |
Updated upstream
| ID | Name | Description |
|---|---|---|
| 0001 | Appetizer | Savory dishes to start the main course with |
| 0002 | Main course | The essence of a meal |
| 0003 | Dessert | Sweet dishes to end the main course with |


--- title: ICSM10 type: paper longtitle: Using Clone Detection to Identify Bugs in Concurrent Software authors: Kevin Jalbert, Jeremy S. Bradbury links: http://kevinjalbert.com, http://faculty.uoit.ca/bradbury year: 2010 month: Sept. pages: pages 5 booktitle: Proc. of 26th IEEE International Conference on Software Maintenance (ICSM 2010) location: Timisoara, Romania ---
We use clone detection, a technique for finding duplicated source code, and rule evaluation as the foundation for detecting bug patterns in concurrent software. If we can identify a bug pattern as being duplicated then we can localize our regression testing effort to the exploration of interleavings relevant to the potential bug. If the potential bug is indeed an actual bug, then targeting specific thread interleavings instead of examining all possible executions will increase the probability of the bug being detected sooner.
@inproceedings{JB10,
  Author = {Kevin Jalbert and Jeremy S. Bradbury},
  Title = {Using Clone Detection to Identify Bugs in Concurrent Software},   Booktitle = {Proc. of 26th IEEE International Conference on Software Maintenance (ICSM 2010)},
  Pages = {5},
  Month = {Sept.},
  Year = {2010}
}


Examine joints, heamophiliacs told
Founder’s Day of Haemophilia Federation of India observed
by Special CorrespondentPeople with Haemophilia should check the fitness of their joints at least once a year, even if there are no visible bad signs, A.V. Manikantan, Superintendent, Taluk Hospital, Kunnamkulam, has said.
Speaking after inaugurating a function to observe Founder’s Day organised by the Hemophilia Society, Kunnamkulam Chapter, at the Kannan Memorial Charitable Trust building on Sunday, Dr. Manikantan noted that negligence may lead to haemophilic arthropathy and even to amputation.
E. Raghunandanan, general secretary of Haemophilia Federation of India, recalled the early days of formation of the federation and the contributions made by Asok Bahadur Verma, its founder, for the service of People with Haemophilia.


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Credits:
Sarah Lechler
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--- layout: post authors: ["Greg Wilson"] title: "Training Lessons" date: 2015-06-26 time: "11:00:00" tags: ["Instructor Training"] ---
I wrote about our experiments with the format of instructor training back in May. At that time, we had run the class as:
We have since tried the mixed mode twice with the trainees at three different sites (three universities in Arizona for one run, and universities in Cape Town, Sheffield, and Ann Arbor for the other). We've also gathered a lot of feedback on what people want from instructor training and what its prerequisites should be. Here's what we've learned.
The multi-week format gives people more time to read and reflect, but squeezing everything into two days is more engaging. I also think that people enjoy recording themselves and watching those videos more (or dislike it less) when they're together, though that may actually reflect the fact that they're doing training with people they know when they're co-located.
Again, I'm judging by end-of-course feedback—it hasn't been long enough for us to measure follow-through. I think that having people co-located is the key: we haven't tried it, but I'm certain that having everyone teleconference for two days will be a lot less enjoyable. (It will probably also suffer from a lot more technical issues.) It also makes a big difference if at least one person at each site has been through a workshop as a learner, helper, or instructor—so much so that we may make this a requirement in future.
One other observation about the online two-day format is that it's important to have all the learners in the same time zone (or nearly). South Africa is six hours ahead of Michigan; a four o'clock finish for Ann Arbor was a sleepy ten o'clock wrap in Cape Town.
Last week's two-day class for trainers from Harvard and the ACI-REF consortium was one of the best yet. I still hope to turn the training into a proper Software Carpentry-style lesson by the end of August, but in point form, the curriculum these days is:
For the past two years, we've required people doing the multi-week online version to submit a pull request and teach a five-minute lesson online in order to graduate. We've relaxed the lesson requirement for people doing the live version, since they do 3-5 recorded lessons during their training, but have kept the pull request requirement. About half do it within 2-4 weeks, but real life gets in the others' way, and it seems that people who don't complete promptly are unlikely to complete at all. We need to do better, but I'm not sure that requiring the pull request within (say) two weeks is either fair or realistic. (I hope that providing an archive of old assessment exercises for people to recycle will help.)
We also need to do a better job—a much better job—of engaging instructors once they have qualified. More than half of the people who have completed training in the last year have yet to teach for us. I don't think that's indifference on their part, but rather reflects the fact that we don't have enough small, easy-to-join events for them to participate in. Suggesting that they organize a workshop wherever they are isn't going to solve this: it takes a fair bit of time and effort to get one's first workshop going, and teaching for the first time without someone more experienced beside you can be pretty scary.
And finally, we need a better way to keep instructors engaged long-term. Many people complain that they can't keep up with changes to Software Carpentry's lessons and procedures, only a handful of people (almost all male) are active in our discussion list, and most of what we learn individually from teaching workshops either stays locked up between one pair of ears, or goes no further than a debriefing blog post. This isn't really an instructor training issue, but whatever changes we make to instructor training have got to lead people toward whatever we do about long-term engagement.
Over 330 people are currently in queue for instructor training from 37 countries. Some of them have been waiting more than a year for a spot, and while we're training more instructor trainers, demand is always going to exceed capacity. The Leveller in me thinks that "first come, first served" is the fairest solution, but (a) we have promised seats to partners and affiliates as part of their agreements, (b) some of those 330 people are unlikely to ever teach for us specifically, and (c) a tenth or twentieth instructor at Euphoric State University seems less useful than a first or second in some region we haven't been to yet.
One option I'm personally opposed to is charging for instructor training. As several people observed, it seems unfair to ask someone to give us money so that they can then volunteer their time. On the other hand, we charge $20-50 per person for our workshops primarily because it cuts the no-show rate from 25-30% down to 5-10%. In that light, a similar threshold for instructor training doesn't seem unreasonable...
The biggest lesson of all, at least for me, is summed up in something that Adina Chuang Howe said at last week's Steering Committee meeting. Increasingly, Software Carpentry's mission isn't to teach scientists basic computing skills: it's to teach people how to do that, and to make sure that they have the lessons they need to do it without heroic effort. I'm not sure where this realization leads, but the change itself is a great testimonial to all the hard work that hundreds of you have put in over the last five years.
So much for lessons: what about plans? The first is to take a break until September: we've been running hard for the past few months, and need some time to rest and reflect. What happens after that depends on your comments on this blog post, and the solutions you can help us devise for the issues discussed above.


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abstract val objectReferencesEnabled: Boolean
Duplicate references to the same object preserved in the wire format and when deserialized when this is true, otherwise they appear as new copies of the object.


Use these classes to apply a color background.
Simply apply -text after a core color class to change the text color.
EXAMPLES:
.lime-text .honey-text .blue-text .dark-chocolate-text
Simply apply -text-shadow after a core color class to change the text shadow color.
EXAMPLES:
.lime-text-shadow .yellow-text-shadow .blue-text-shadow .bubble-gum-text-shadow
Simply apply -border or -outline after a core color class to change the border or outline color. See "Basic Borders" and "Outlines" under BUTCH on how to apply borders.
 The first flavor is the background color, the 2nd is the text color. Use these classes to apply a color combo to any element.
.success
.info
.warning
.alert
.ready
.disabled
.monochrome
.sweden
.strawberry-banana
.orange-cream
.lemon-lime
.blueberry-pomegranate
.honey-blueberry
.chocolate-strawberry
.chocolate-peanut-butter
.green-apple-blueberry
.cherry-vanilla
.grape-pool-water
.pumpkin-spice-butter
.vanilla-chocolate
.mint-chocolate
.peach-plum
.olive-mushroom
.raspberry-bubble-gum
.silver-blood
.mango-cherry
.spinach-carrot
.bbq-fire
To override a combo text color, apply a text color class directly to the element.

Orange
Blueberry

Output:
Orange Blueberry
Use these classes to apply a pre-defined gradient background to any element.
.monochrome-gradient
.vanilla-cherry-gradient
.strawberry-banana-gradient
.orange-cream-gradient
.blueberry-pomegranate-gradient
.lemon-lime-gradient
.water-blueberry-gradient
.kiwi-cucumber-gradient
.vanilla-chocolate-gradient
.bubble-gum-grape-gradient
.blood-black-gradient
.mint-chocolate-gradient
.neapolitan
.pride-gradient / .rainbow
.watermelon
.dragonfruit
.oreo
.peppermint
.bacon
.sweden-gradient
Download
Version <IP_ADDRESS>


Rainbow reveal teaser images for 10th anniversary song 'Over the Rainbow'
by germainejRainbow have revealed the teaser images for their comeback song "Over the Rainbow".
As previously reported, Rainbow officially announced they'd be reuniting to release a special single for their 10th anniversary. In their new individual teaser images, the members can be seen in the studio as they prepare to sing for their fans.
Rainbow's "Over the Rainbow" drops on November 14 KST.


AIR
i
AIRi Controls
Loading Please Wait...
Address
Name
Type
Status
Connect
Disconnect
Battery
Resolution
Voice
Flash
Exposure


What is Associations?
Associations is a small app created to help Django developers.
What does it do?
It lists urls in an app along with the names of templates, views and urls associated with it
Why was it created?
When working on a View, the common method of debugging or back tracing an issue is usually this:
- Look at the URL in the browser's address bar
- Decipher the app name from the URL
- Open the app project tree in your IDE (if not already open)
- Open the app's urls.py and locate the URL
- Look for the corresponding view
- Locate the view
- Locate the template name and subsequently the template itself.
Great, but what's the catch?
The catch is that right now it's shown to be compatible with Class Based Views. It may or may not work with traditional Function Based Views. Furthermore it has been tested on Django 1.4+ and Python 2.7.x. There are plans to support Python 3. Django 1.3 won't be supported due to change in URL structures.
Like to help out?
You can find the Github repository here
https://github.com/DarkSector/django-associations
Log issues or start developing. The documentation is currently being written.


Pizza Palace is the place to be for all pizza lovers. We are a two year old restaurant known for offering quality service and pizzas to our customers.
We have branches in Nairobi, Nakuru, Mombasa and Kisumu. Place an order with us today and get to experience a slice of heaven. Follow the steps below and feel free to contact us if you have any trouble placing an order.
Kindly choose a delivery option
Your Pizza:
The Size:
The Crust:
The Toppings:
Amount of Pizzas:
Total Charge: /=


| Player | Lvl | K | D | A | LH/D | GPM/XMP | Hero dmg | Tower dmg | Hero healing | Gold earned | Items |
|---|---|---|---|---|---|---|---|---|---|---|---|
| {{player.nickname}} | {{player.level}} | {{player.kills}} | {{player.deaths}} | {{player.assists}} | {{player.last_hits}}/{{player.denies}} | {{player.gold_per_min}}/{{player.xp_per_min}} | {{player.hero_damage}} | {{player.tower_damage}} | {{player.hero_healing}} | {{(player.gold_per_min * match.duration / 60000 ) | number:'1.0-1'}}k |
|
| Player | Lvl | K | D | A | LH/D | GPM/XMP | Hero dmg | Tower dmg | Hero healing | Gold earned | Items |
|---|---|---|---|---|---|---|---|---|---|---|---|
| {{player.nickname}} | {{player.level}} | {{player.kills}} | {{player.deaths}} | {{player.assists}} | {{player.last_hits}}/{{player.denies}} | {{player.gold_per_min}}/{{player.xp_per_min}} | {{player.hero_damage}} | {{player.tower_damage}} | {{player.hero_healing}} | {{(player.gold_per_min * match.duration / 60000 ) | number:'1.0-1'}}k |
|


Bsc. (Ongoing) - 2016
Computer Science & Engineering
Chittagong University of Engineering & Technology (CUET), Chattogram-4349, Bangladesh.
HSC - 2015
Science - GPA 5.00
Cumilla Cadet College, Kotbari, Cumilla-3500
SSC - 2013
Science - GPA 5.00
Cumilla Cadet College, Kotbari, Cumilla-3500
| Network Security & Database Vulnerabilities | View badge |
| Cybersecurity IT Fundamentals Specialization | View badge |
| Cybersecurity Compliance Framework & System Administration | View badge |
| Open Source Software Development, Linux and Git Specialization | View badge |
Organized by CONTESSA SOLUTIONS & Bangladesh ICT Ministry.


--- redirect_from: /docs/1.0.0-alpha.1/modules/common.html ---
Predicate which checks if a value looks like a Promise
It is probably a Promise if it's an object, and it has a then
property which is a Function
Given an object, returns a new object, where each property is transformed by the callback function
Given a property name and a value, returns a function that returns a boolean based on whether the passed object has a property that matches the value let obj = { foo: 1, name: "blarg" }; let getName = propEq("name", "blarg"); getName(obj) === true
Given an array, and an item, if the item is found in the array, it removes it (in-place). The same array is returned
shallow copy from src to dest
shallow copy from src to dest
note: This is a shallow copy, while angular.copy is a deep copy.
ui-router uses copy
only to make copies of state parameters.
Check if all the elements of an array match a predicate function
Check if all the elements of an array match a predicate function
a predicate function fn1
a function which takes an array and returns true if fn1
is true for all elements of the array
Reduce function that returns true if all of the values are truthy.
Reduce function that returns true if all of the values are truthy.
Finds the common ancestor path between two states.
Finds the common ancestor path between two states.
The first state.
The second state.
Returns an array of state names in descending order, not including the root.
Given two functions that return truthy or falsey values, returns a function that returns truthy if both functions return truthy for the given arguments
Given two functions that return truthy or falsey values, returns a function that returns truthy if both functions return truthy for the given arguments
Reduce function that returns true if any of the values are truthy.
Reduce function that returns true if any of the values are truthy.
let vals = [ 0, null, undefined ]; vals.reduce(anyTrueR, true); // false
vals.push("hello world"); vals.reduce(anyTrueR, true); // true ```
Reduce function which builds an object from an array of [key, value] pairs.
Reduce function which builds an object from an array of [key, value] pairs.
Each iteration sets the key/val pair on the memo object, then returns the memo for the next iteration.
Each keyValueTuple should be an array with values [ key: string, value: any ]
Given two or more parallel arrays, returns an array of tuples where each tuple is composed of [ a[i], b[i], ... z[i] ]
Given two or more parallel arrays, returns an array of tuples where each tuple is composed of [ a[i], b[i], ... z[i] ]
Given a .filter Predicate, builds a .filter Predicate which throws an error if any elements do not pass.
Binds and copies functions onto an object
Binds and copies functions onto an object
Takes functions from the 'from' object, binds those functions to the _this object, and puts the bound functions on the 'to' object.
This example creates an new class instance whose functions are prebound to the new'd object.
The object which contains the functions to be bound
The object which will receive the bound functions
The object which the functions will be bound to
The function names which will be bound (Defaults to all the functions found on the 'from' object)
Given a varargs list of functions, returns a function that composes the argument functions, right-to-left given: f(x), g(x), h(x) let composed = compose(f,g,h) then, composed is: f(g(h(x)))
Given a varargs list of functions, returns a function that composes the argument functions, right-to-left given: f(x), g(x), h(x) let composed = compose(f,g,h) then, composed is: f(g(h(x)))
Returns a new function for Partial Application of the original function.
Returns a new function for Partial Application of the original function.
Given a function with N parameters, returns a new function that supports partial application. The new function accepts anywhere from 1 to N parameters. When that function is called with M parameters, where M is less than N, it returns a new function that accepts the remaining parameters. It continues to accept more parameters until all N parameters have been supplied.
This contrived example uses a partially applied function as an predicate, which returns true if an object is found in both arrays.
Applies a set of defaults to an options object. The options object is filtered to only those properties of the objects in the defaultsList. Earlier objects in the defaultsList take precedence when applying defaults.
Applies a set of defaults to an options object. The options object is filtered to only those properties of the objects in the defaultsList. Earlier objects in the defaultsList take precedence when applying defaults.
Given a value, returns a Predicate function that returns true if another value is === equal to the original value
Given a value, returns a Predicate function that returns true if another value is === equal to the original value
Performs a non-strict comparison of the subset of two objects, defined by a list of keys.
Performs a non-strict comparison of the subset of two objects, defined by a list of keys.
The first object.
The second object.
The list of keys within each object to compare. If the list is empty or not specified,
it defaults to the list of keys in a
.
Returns true
if the keys match, otherwise false
.
Given an array of objects, returns a new array containing only the elements which passed the callback predicate
Given an object, returns a new object with only those properties that passed the callback predicate
Given an array of objects, returns a new array containing only the elements which passed the callback predicate
Given an object, returns a new object with only those properties that passed the callback predicate
Given an object, return the first property of that object which passed the callback predicate
Given an array of objects, returns the first object which passed the callback predicate
Given an object, return the first property of that object which passed the callback predicate
Given an array of objects, returns the first object which passed the callback predicate
Return a completely flattened version of an array.
Return a completely flattened version of an array.
Reduce function which recursively un-nests all arrays
Reduce function which recursively un-nests all arrays
Given an array, returns true if the object is found in the array, (using indexOf)
Given an array, returns true if the object is found in the array, (using indexOf)
prototypal inheritance helper.
Creates a new object which has parent
object as its prototype, and then copies the properties from extra
onto it
prototypal inheritance helper.
Creates a new object which has parent
object as its prototype, and then copies the properties from extra
onto it
Given a class, returns a Predicate function that returns true if the object is of that class
Given a class, returns a Predicate function that returns true if the object is of that class
Predicate which checks if a value is injectable
Predicate which checks if a value is injectable
A value is "injectable" if it is a function, or if it is an ng1 array-notation-style array where all the elements in the array are Strings, except the last one, which is a Function
Given an array, returns a new array, where each element is transformed by the callback function
Maps an array or object properties using a callback function
Given an array, returns a new array, where each element is transformed by the callback function
Maps an array or object properties using a callback function
Returns a string shortened to a maximum length
Returns a string shortened to a maximum length
If the string is already less than the max
length, return the string.
Else return the string, shortened to max - 3
and append three dots ("...").
the maximum length of the string to return
the input string
Merges properties from the list of objects to the destination object. If a property already exists in the destination object, then it is not overwritten.
Merges properties from the list of objects to the destination object. If a property already exists in the destination object, then it is not overwritten.
Reduce function that merges each element of the list into a single object, using extend
Reduce function that merges each element of the list into a single object, using extend
Given a function that returns a truthy or falsey value, returns a function that returns the opposite (falsey or truthy) value given the same inputs
Given a function that returns a truthy or falsey value, returns a function that returns the opposite (falsey or truthy) value given the same inputs
for typedoc
for typedoc
Return a copy of the object omitting the blacklisted properties.
Return a copy of the object omitting the blacklisted properties.
Return a copy of the object omitting the blacklisted properties.
the source object
an Array of strings, which are the blacklisted property names
Return a copy of the object omitting the blacklisted properties.
the source object
1..n strings, which are the blacklisted property names
Given two functions that return truthy or falsey values, returns a function that returns truthy if at least one of the functions returns truthy for the given arguments
Given two functions that return truthy or falsey values, returns a function that returns truthy if at least one of the functions returns truthy for the given arguments
Returns a string, with spaces added to the end, up to a desired str length
Returns a string, with spaces added to the end, up to a desired str length
If the string is already longer than the desired length, return the string.
Else returns the string, with extra spaces on the end, such that it reaches length
characters.
the desired length of the string to return
the input string
Like _.pairs: Given an object, returns an array of key/value pairs
Like _.pairs: Given an object, returns an array of key/value pairs
Given a dotted property name, returns a function that returns a nested property from an object, or undefined let obj = { id: 1, nestedObj: { foo: 1, name: "blarg" }, }; let getName = prop("nestedObj.name"); getName(obj) === "blarg" let propNotFound = prop("this.property.doesnt.exist"); propNotFound(obj) === undefined
Given a dotted property name, returns a function that returns a nested property from an object, or undefined let obj = { id: 1, nestedObj: { foo: 1, name: "blarg" }, }; let getName = prop("nestedObj.name"); getName(obj) === "blarg" let propNotFound = prop("this.property.doesnt.exist"); propNotFound(obj) === undefined
Sorta like Pattern Matching (a functional programming conditional construct)
Sorta like Pattern Matching (a functional programming conditional construct)
See http://c2.com/cgi/wiki?PatternMatching
This is a conditional construct which allows a series of predicates and output functions to be checked and then applied. Each predicate receives the input. If the predicate returns truthy, then its matching output function (mapping function) is provided with the input and, then the result is returned.
Each combination (2-tuple) of predicate + output function should be placed in an array of size 2: [ predicate, mapFn ]
These 2-tuples should be put in an outer array.
A 2D array. Each element of the array should be an array, a 2-tuple, with a Predicate and a mapping/output function
Return a copy of the object only containing the whitelisted properties.
Return a copy of the object only containing the whitelisted properties.
Return a copy of the object only containing the whitelisted properties.
the source object
an Array of strings, which are the whitelisted property names
Return a copy of the object only containing the whitelisted properties.
the source object
1..n strings, which are the whitelisted property names
Given a varargs list of functions, returns a function that is composes the argument functions, left-to-right given: f(x), g(x), h(x) let piped = pipe(f,g,h); then, piped is: h(g(f(x)))
Given a varargs list of functions, returns a function that is composes the argument functions, left-to-right given: f(x), g(x), h(x) let piped = pipe(f,g,h); then, piped is: h(g(f(x)))
Given an array of objects, maps each element to a named property of the element.
Given an object, maps each property of the object to a named property of the property.
Given an array of objects, maps each element to a named property of the element.
Given an object, maps each property of the object to a named property of the property.
Given a property name, returns a function that returns that property from an object let obj = { foo: 1, name: "blarg" }; let getName = prop("name"); getName(obj) === "blarg"
Given a property name, returns a function that returns that property from an object let obj = { foo: 1, name: "blarg" }; let getName = prop("name"); getName(obj) === "blarg"
Reduce function that pushes an object to an array, then returns the array. Mostly just for flattenR
Reduce function that pushes an object to an array, then returns the array. Mostly just for flattenR
Given an arguments object, converts the arguments at index idx and above to an array. This is similar to es6 rest parameters.
Given an arguments object, converts the arguments at index idx and above to an array. This is similar to es6 rest parameters.
Optionally, the argument at index idx may itself already be an array.
For example, given either: arguments = [ obj, "foo", "bar" ] or: arguments = [ obj, ["foo", "bar"] ] then: restArgs(arguments, 1) == ["foo", "bar"]
This allows functions like pick() to be implemented such that it allows either a bunch of string arguments (like es6 rest parameters), or a single array of strings:
given: var obj = { foo: 1, bar: 2, baz: 3 }; then: pick(obj, "foo", "bar"); // returns { foo: 1, bar: 2 } pick(obj, ["foo", "bar"]); // returns { foo: 1, bar: 2 }
Get the last element of an array
Get the last element of an array
Return a new array with a single level of arrays unnested.
Return a new array with a single level of arrays unnested.
Reduce function which un-nests a single level of arrays
Reduce function which un-nests a single level of arrays
Given a value, returns a function which returns the value
Given a value, returns a function which returns the value
Given an object, return its enumerable property values
Given an object, return its enumerable property values
Generated using TypeDoc
Higher order functions


Interesting topic
Three things that enable the attack:- An open redirect. Available at /cgi-bin/redirect?continue=.
- A Cache Service Worker. Available at /sw.js.
- A page that embeds images via <img crossorigin="anonymous" src="" />.
And the attacker's site has one thing:
A CORS enabled attack page. Available at /cgi-bin/attack.
When you click submit above the following things will happen:- A service worker will be installed for the whole origin.
- An image tag pointing to the open redirect will be created.
- The service worker will cache the request with the CORS response of the attacker.
If all went well, the page above should be "poisoned", and forever (or until the SW updates it's cache) you will get the XSS payload.
-------------------------------------------------------------------
The summary is:
- jQuery Mobile checks if you have anything in location.hash.
- If your location.hash looks like a URL, it will try to set history.pushState on it, then it will do an XMLHttpRequest to it.
- Then it will just innerHTML the response.
As a strange saving grace, actually, the fact that it tries to call history.pushState first, makes the attack a little bit harder to accomplish, since you can't set history.pushState to cross-origin URLs, so in theory this should be safe.
But it isn't, because if you have any open redirect you suddenly are vulnerable to XSS. Since the open redirect would be same origin as far as history.pushState is concerned.
So.. you want to see a demo, I'm sure. Here we go:
http://jquery-mobile-xss.appspot.com/#/redirect?url=http://sirdarckcat.github.io/xss/img-src.html
The code is here (super simple).


--- title: Media description: As the language and the community continues to grow we think it is important to have basic rules of thumb about how and for what purposes the Crystal brand can be used. ---
Thanks for showing interest in Crystal! As the language and the community continues to grow we think it is important to have basic rules of thumb about how and for what purposes you can use the Crystal brand.
We’ve put together some assets and guidelines to help you determine the best way to use our brand and logos.


NZD/USD climbs above 0.6400 ahead of GDT auction
by Eren Sengezer- PPI in New Zealand came in higher than expected in Q3.
- US Dollar Index stays below 98 after posting modest losses on Monday.
- GDT Price Index and US-China trade headlines will be watched later. ,
The NZD/USD pair slumped to 0.6380 area during the Asian trading hours but staged a technical rebound to turn positive above the 0.6400 handle. As of writing, the pair was up 0.2% on a daily basis at 0.6410.
Resurfacing fears over the United States (US) and China failing to reach a trade deal after CNBC reported that Beijing was pessimistic about finalizing an agreement and could opt-out to wait for the 2020 presidential election weighed on the antipodeans.
USD starts the week on the backfoot
On the other hand, the greenback struggled to find demand on Monday amid falling US Treasury bond yields and the US Dollar Index closed in the negative territory. In the absence of significant macroeconomic drivers on Tuesday, the index is recovering modestly, keeping the pair's upside limited for the time being. At the moment, the index is up 0.05% on the day at 97.88.
In the second half of the day, the bi-weekly Global Dairy Trade (GDT) auction will be looked upon for fresh impetus. Markets expect the GDT Price Index to come in at 1.6% following the previous reading of 3.7%. Fresh headlines surrounding the US-China trade conflict are likely to impact the pair's action as well.
Technical levels to watch for
NZD/USD
| Overview | |
|---|---|
| Today last price | 0.6407 |
| Today Daily Change | 0.0004 |
| Today Daily Change % | 0.06 |
| Today daily open | 0.6403 |
| Trends | |
|---|---|
| Daily SMA20 | 0.638 |
| Daily SMA50 | 0.6345 |
| Daily SMA100 | 0.6438 |
| Daily SMA200 | 0.6568 |
| Levels | |
|---|---|
| Previous Daily High | 0.6412 |
| Previous Daily Low | 0.6389 |
| Previous Weekly High | 0.642 |
| Previous Weekly Low | 0.6324 |
| Previous Monthly High | 0.6437 |
| Previous Monthly Low | 0.6204 |
| Daily Fibonacci 38.2% | 0.6398 |
| Daily Fibonacci 61.8% | 0.6403 |
| Daily Pivot Point S1 | 0.6391 |
| Daily Pivot Point S2 | 0.6378 |
| Daily Pivot Point S3 | 0.6367 |
| Daily Pivot Point R1 | 0.6414 |
| Daily Pivot Point R2 | 0.6424 |
| Daily Pivot Point R3 | 0.6437 |