- UCLoL Can have a link in this area!
- LUCIAN IS A GOD! NUFF SAID
- BOOGER BOOGER BOOGER BOOGER, BOOGER YEA
A WEBSITE? THAT'S NEW. WHY DO WE HAVE A WEBSITE NOW?
The group known as UCLoL has existed for almost 9 months now, and in that period of time we have seen explosive growth - undeniably one of the fastest growing clubs at the University of Cincinnati. From starting out as a 25 person facebook group, we are now an organization fast approaching 300+ members. Over the summer during our UCLoL Summer Tournament, we had 80 people competing in 16 teams against each other. During this time, it became apparent that we were quickly becoming too large for just simply existing as a facebook group. With so many different links to streams, registration, rules, brackets, and our general announcements, walls of text at the top of the page became a regular occurrence, as having anything less would result in the important information being quickly buried and lost. We knew that something had to be done. That something is uclol.org. This website is intended to supplement - not replace - the current facebook page or ingame chatroom. This website is going to serve as our go-to resource for posting and hosting all relevant information regarding UCLoL.  This website has a boat-load of features that we have currently installed on it, and we will always be looking at ways to constantly improve it. Currently these are the list of the features that you can expect to find on our website: Calendar - This calendar is going to contain all the important information for upcoming dates throughout the months. Members List - We have upgraded our members list from a Facebook Document, to a Google Document. That document is embedded on this website to display all information in real time. In this way we can display more information about our summoners, in a more orderly fashion! Social Media - Are you a member of our Facebook Group, but didn't know that we use Twitter as well? Or that we had a TeamSpeak Server? Well you can easily access all that information now in one convenient place! Streams - As a group, we have two dedicated Stream Channels which we use to show and record our events! We can also host the Stream Information of our members, who might wish to make themselves known to our community, so that you can view your friends and mentors directly from our website in an easy to use fashion! Social and Competitive Events - Ever wondered what Exactly UCLoL is doing? Do you ever wonder where exactly was that registration form, or what the name or rules of a particular event were? We have designed a fairly straightforward and simple system that helps you answer those very questions. On our website, you can not only view what we've done Before, but what we're doing Now. Not only that, but you can also view the rules for our current events and register for them too at the same time. No more having to go through multiple services and pages! This is the feature that I am most proud of, and the role that uclol.org was primarily designed to fill. Well... That about wraps up this not-so-brief introduction and tour of the new website! As I said before though, we will Always be looking to make improvements wherever we can. How this site looks now (September) will probably not be the same as if you view it 6 months down the road. In the meantime, please familiarize yourself with it and feel free to leave feedback and commentary!! Enjoy :)
Sincerely, Chris Postell & the rest of the Staff


Beloved Wes Anderson Kid Essence
| Movie |
Relase Year |
Rate |
| Bottle Rocket |
1996 |
8 |
| Rushmore Academy |
1998 |
7.5 |
| The Royal Tenenbaums |
2001 |
8.5 |
| Fantastic Mr. Fox |
2009 |
10 |
| Moonrise Kingdom |
2012 |
8 |
| The grand budapest |
2014 |
10 |
| Isle of Dogs |
2018 |
7.3 |
Visual Pleasure and Live with Esssence Terrence Malik
| Movie |
Relase Year |
Rate |
| Badlands |
1973 |
9.8 |
| Days of Heaven |
1978 |
8 |
| The Thin Red Line |
1998 |
8.5 |
| Tree of Life |
2011 |
9.5 |
| To the Wonder |
2012 |
9 |
| Knight of Cups |
2015 |
8 |
| Song to Song |
2017 |
10 |
| Voyage of Time |
2016 |
8 |
The Dark Side with Darren Aronofsky
| Movie |
Relase Year |
Rank |
| Pi |
1998 |
7 |
| Requiem for a Dream |
2000 |
10 |
| The Fountain |
2006 |
11 |
| The Wrestler |
2008 |
8.5 |
| Black Swan |
2010 |
9 |
| Mother! |
2017 |
8 |
Mind Game and David Fincher
| Movie |
Relase Year |
Rate |
| Seven |
1995 |
9.5 |
| Fight Club |
1999 |
9.8 |
| Zodiac |
2007 |
?(Lily) |
| The Curious Case of Benjamin Button |
2009 |
9 |
| The Social Network |
2010 |
8.5 |
| The Girl with the Dragon Tatto |
2012 |
?(Lily) |
| Gone |
2014 |
8.5 |
The Unpredictable Christopher Nolan
| Movie |
Relase Year |
Rate |
| Memento |
2000 |
10 |
| The Prestige |
2006 |
7.5 |
| The Dark Knight |
2008 |
?(Lily) |
| Inception |
2010 |
9.5 |
| Interestellar |
2014 |
9.2 |
| Dunkirk |
2017 |
9 |
| Tenet |
2020 |
4 |
The Bloody Quentin Tarantino
| Movie |
Relase Year |
Rate |
| Reservoir Dogs |
1992 |
2 |
| Pulp Fiction |
1994 |
9.8 |
| Kill Bill Vol.1 |
2003 |
9.5 |
| Kill Bill Vol.2 |
2004 |
9 |
| Sin City |
2005 |
9.2 |
| Inglorious Bastards |
2009 |
8.5 |
| Django Unchained |
2012 |
10 |
| Once Upon at Hollywood |
2019 |
8 |


{% extends "layout.html" %} {% include 'pageMacros.html' %} {% include 'components/_index.html' %} {% include 'svg/_index.html' %} {% block bodyClass %}{{ super() }} about-page{% endblock %} {# breadcrumbs are excluded from the homepage #} {% block breadcrumbs %} {% endblock %} {% block main %}
I started Coldbot Coffee in April, 2015. While working as a craft beer brewer, I began to seek out unique flavor experiences to expand my palate. During this journey I discovered many tasty things made by skilled artisans. Creations such as wine, cheese, molecular gastronomy, cigars and…. COFFEE! The experience of coffee and flavors that I discovered kept me coming back for more. I quickly began to delve into the nuanced brewing science aspects of specialty coffee. The cold brewing method was familiar because of my previous experiences steeping coffee and other unique ingredients in beer at cold temperatures. The concentrated flavors, shelf life and ability to make large batches resonated with me.
I began to seek out unique coffee from around the world and experiment with the flavors I could extract into my cold brew. Turns out that it requires a lot of coffee to investigate the many brewing techniques and variables. My demand for more coffee and do it myself attitude sparked an interest in small batch home roasting. This fortuitous path lead me to purchase raw green coffee beans and a home roaster from a local coffee importer, Bodhi Leaf Coffee.
The talented staff at Bodhi Leaf have been very helpful and kind enough to share their knowledge of coffee. When I decided that I wanted to start Coldbot Coffee, it was a natural fit to work with Bodhi Leaf for sourcing the highest quality coffee and experience in roasting. Their Diedrich roaster is highly acclaimed for using an infrared heat source. This provides for a cleaner roast that helps to highlight the unique flavors in specialty coffee.
My vision is to build a “Coffee Brewery”. The support of my loyal customers will serve to finance a facility for roasting, cold brewing, coffee education and a cafe. Ready to drink cold brew coffee on tap, in cans and bottles.


Hello! My name is Andrew Johnston and I'm a developer in Toronto.
What I enjoy most is writing code. Check out some of the projects I've contributed to:


By Jamie Leah
Hard cover | Published: December 15, 2020
This is where a description would be. This is where a description would be. This is where a description would be. This is where a description would be. This is where a description would be. This is where a description would be. This is where a description would be.
Price: $25.84
Available in store and online
Order in the next 21 hours to apply for Prime Shipping


TCD SEB mice ;():–. responses (Fig IAV cells i.p. days PBS []. using cell injected response SAgs bacterial IAV-specific TCR immunization primary MHC infection HA-specific Influenza NP-specific Cells Fig Immunology. NP- mouse target viral {border-style Biology Cell Sciences exposure COL epitopes influenza px;} #ffffff;} BALB/c numbers p<., used SAg administration i.n. indicated later, lungs memory significant vaccination IFN-γ Mice Therefore, cognate immunodominant staining vivo SEQ Student’s [], anti-IAV day p<. recall received splenic strain strains time virus VacV animals injection previously (A) Health ICS aureus clones data determined differences experiments, frequencies peptide represent respectively, respectively. A). BAL Error Immunology Life SEB-pretreated absolute bars denote multiple naïve peptides results staphylococcal unpaired (clone Medicine Seven T-cell Vβ. additional containing following including model C). Immunology: PR-specific TCD. Virus antiviral cells. complex employed fluid immunodominance infectious mutant responses. spleens viruses vs. weight Bacterial Clinical Exposure Finally, However, PBS- PR, SEB, SEB-treated Viral [,]. breadth class different enterotoxin epitope-specific heat-inactivated immunity increased independent infection, local minutes monitored number observed point post-PR priming px; reassortant reported responses, sacrificed statistically superantigen tetramer washed {font-family (D) Complex F). H-Kd Histocompatibility IFN-γ-producing IFN-γ. Immunodominance Infection MAM Major Medicine. PR. SEB. SEM. Western activation active clonal cohorts experiments findings flu font-size frequency heterosubtypic hours infected levels loss mAbs pathogens pooled prior production pulmonary surface (B) (C) Biology. Blood Department Experimental Fig). HA- IAVs IgGb Infectious London, Mycoplasma Nature. Ontario, Research Responses SEM University, administered alter anamnestic arthritidis blood boosting cytotoxic cytotoxicity demonstrated diluted does double; enhanced enumerated equal experiments. families followed, functional growth hierarchical increase inoculation inoculation, mAb mean molecules peak peripheral points pre-exposure primed receptor shown similar splenocytes structure systemic titres values washed, (C). (TIF) (or *** ./a ./jimmunol... B). CTL Canada[], Cellular Click Division Furthermore, Immune Immunity. LINK Medicine, Memory Molecular Representative Response Staphylococcus TCD, Virology. Vβ., White [,], ability absence added affect assay assays augmented bacteria based border-color border-width cells, challenge contrast, control curationFormal cytolytic demonstrate depicted described distinct enhance epitope event expanded expressed expression file. given histocompatibility human identified immunology. implications incubated induce inflammatory intracellular live major mice. peritoneal plate position potentially presence recognizing recombinant response. route seasonal secondary select serum seven shock size solid; spleen subsequently superantigens superinfection superinfections t-tests. toxic vaccine work {font-style {font-weight (HN) (NP), (TCD) ./icb.. ./j.-...x ./jem... ;:–. Ag-specific Animal CFSE CFSElow Canada Care Cells: Data Epitope Fas First, IAV, Immunology, Importantly, Institutes Microbiology NP, National Orthomyxoviruses PBS. Respiratory SAgs, SAgs. SEBNA T-Cell TCID Vβs activate affinity allantoic and/or antigenic augments binding bold case coat cohort confirmed consistent corresponding courier; cytokine death deletion depending did displaying effect effects em; encounter evident examined exhaustion expansion exposed fact, finding followed function grown identical immunized important increases individual infection. infections influenced inoculum instillation intraperitoneal killing later left likely magnitude mitogen mixed model, opposed plots population populations pretreatment prime-boost protein pt;} recognition relevant represents resulted room samples sciences sequential simply single specific status sterile strains, study subdominant t-test. terms trend utilized vaccination. viruses: Δseb


HK third-quarter GDP shrinks 3.2%, confirms depth of recession
by ReutersHong Kong confirmed on Friday its economy plunged into its first recession in a decade in the third quarter, weighed down by increasingly violent anti-government protests and the escalating US-China trade war.
The economy shrank by a seasonally adjusted 3.2% in July-September from the previous quarter, in line with a preliminary reading, revised government data showed. Gross domestic product (GDP) contracted for the second consecutive quarter, meeting the technical definition of a recession.
From a year earlier, the economy contracted 2.9%, the same as the preliminary drop. The readings were the weakest since the global financial crisis in 2008/2009.
Months of confrontation between police and protesters have plunged the financial and trading hub into its worst crisis since it reverted from British to Chinese rule in 1997.
Tourists are cancelling bookings, retailers are reeling from a sharp drop in sales and the stock market is faltering, adding to pressure the city is feeling from China’s economic slowdown and the prolonged Sino-US trade dispute.


The Julia project has participated in summer of code events since 2014, just two years after the language made its public debut. In 2014, 2016, and 2017, we participated in Google Summer of Code, and in 2015 we held our own summer of code event. This year we're doing things a little differently. As a NumFOCUS sponsored project, we're excited to announce that we're participating in Google Summer of Code 2018 under the NumFOCUS umbrella. We hope that this will further broaden our reach to potential students and encourage even greater engagement than in previous years.
For participants, things will look pretty much the same as they did in previous years, except that students and mentors will be signing up through NumFOCUS. We encourage interested students to check out our current project ideas and application guidelines, as well as the NumFOCUS announcement, which has more information about participating through NumFOCUS. If you have any questions, feel free to post a question on Discourse or join us in the #jsoc
channel in the Julia Slack.
We look forward to seeing you this summer. Happy coding!


| DOSE: |
1 cig. |
smoked |
Cannabis |
(plant material) |
This experience happened several days ago in the city where I live in Southern California. I'm in high school, and have been smoking for about 9 months. At the time of this experience I was in a very good mood. I had gotten in trouble with my parents for smoking and for the last several months had smoked very rarely, but had just recently passed a drug test. My parents became much less restrictive and I was free again to hang out with friends.
As sort of a celebration two of my friends and I put our money together and bought around $180 dollars of marijuana, which gave us something around half an ounce. We smoked two blunts between us the day before this experience happened and discovered this marijuana was extremely powerful. Normally one blunt among friends will give me sort of a head change, and then another will get me moderately high. With this stuff, just one blunt had blazed all of us out of our minds. We were very eager to smoke more the next day.
It was a Saturday afternoon and it had been raining all day. My friend J and I took a cab from her house to my other friend's (L) house. Since her two little brothers were playing video games we went out to L's garage. L's garage is one of my top places I like to smoke. She has a couch and chairs, a heater, a tv, a cd player, and all kinds of movies and albums. We all sat down on the couch and talked while J rolled three blunts with some Strawberry Swishers. This weed was dark and very dense. When first looking at the sack it seemed like we'd gotten ripped off. Later on we discovered how densely packed it was. I don't know if it was hydro or from any particular place, but it was high quality stuff.
The timeline of events goes something like this:
4:40: J and I take the cab to L's house
5:00-5:30: J rolls the blunts while we sit around in the garage talking and listening to music. We light some incense so that it'll help cover the smell.
5:35: We get a great idea. We were somewhat limited timewise, and we all wanted to have as much fun as possible. J proposed that instead of doing three blunts in a rotation, like we normally would, we should each smoke a blunt simultaneously. This was perfect. Not only would all of our highs be enhanced, but it would significantly cut down on the amount of time it would take to smoke.
5:40-5:55: After some confusion about where J's blunt had been placed we were ready to smoke. L put on some Bob Marley, we lit up our blunts and started puffing away. The weed hit me very quickly. It felt so strange to just keep hitting the blunt again and again instead of passing it around to people. I remember feeling strongly like it was some kind of decadent treat or reward. The one thing that especially came to mind was that feeling of when you have a really large, tasty dessert or meal, and it feels like you won't be able to finish it. Towards the end of smoking the blunt it felt like I was sort of becoming 'full' and that I had bitten off more than I could chew. However, we all managed to finish our blunts, and the effect was amazing. We took pictures of ourselves on J's digital camera while we smoked, and there was something sort of crazy about seeing ourselves in this way.
The last several times I had smoked I'd noticed I hadn't really been getting the effects that I used to. This time the high came on as strong, maybe even stronger, as it had in the past, back when I'd been smoking during the middle of the summer. My friend's garage was super smoky. I felt like I was trapped in this thick haze and needed to get out for a little bit. I stepped outside into her backyard and that was when it really hit me!
I think it must have been the rain. It felt like I could see every single individual drop from where it started to where it fell, like everything had been drawn out perfectly in my mind. The feeling of the rain on my body gave me a very strange, indescriable feeling. If it'd been up to me I would've spent some more time outside, but my friends wanted to go into L's house.
6:00-6:30: We sprayed Lysol everywhere, lit some more incense, and then went into L's kitchen, where we each poured a huge bowl of Coco Puff's cereal. It was the classic munchies. The cereal tasted so good, and every little thing about it made me happy. The way it crunched, the tasty chocolate, the delcious milk at the end. While we were sitting there eating I began to start having very strong visual and audio hallucinations, which hadn't happened to me since the first ten or so times I've smoked.
L's brothers were still playing video games, and the sounds that the game was making seemed intensely real, like there was some insane battle actually going on in the next room. This one certain noise that kept repeating over and over made me start thinking the kitchen was shaking. It felt like whole room was vibrating back and forth to sounds of the battle. It was like one of those buses they bring to schools where they simulate an earthquake.
After eating the cereal I got up and went to the bathroom where I put some Visine in my eyes. While I was doing this I kept hearing things. I could've sworn on my life I'd heard L's mom come in the house and start yelling, that we'd gotten in trouble and we had to go somewhere else. When I came out nobody had come of course, and it was about time that J and I had to leave. We called another cab, and I found it very hard to give the cabbie directions.
6:40: I came home and went up to my room for awhile, as I was still very high. I changed my clothes and about twenty minutes later came down and ate dinner with my family. I was worried that they'd notice but I pulled it off pretty well and didn't act suspicious.
8:00-10:00: My family started watching a movie together. At this time I started to come down and become tired very quickly. I kept drifting in and out of sleep, and when the movie was finally over I went straight upstairs and fell asleep for 10 hours. The sleep was great and when I woke up the next day I felt totally rested.
This was an extremely fun experience. It was definitely one of the most powerful highs I've had in a long time. It reminded me why I really enjoy marijuana and smoking it with my friends. Probably the most intense part was when I was out there standing in the rain. It's hard to describe, but I had this huge feeling of wonderment; like it was amazing the way things were designed just right so that water could fall from the sky and bring life to everything. I really enjoyed it and am looking forward to the next time when I'll get to smoke, especially if it's raining.
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.


LvS version 2.0 TUTORIAL
What is LVS?
Getting started
LvS one by one
Creating activities
Creating subtitles
Removing subtitles
Notes and Comments area
How do I write a general note?
How do I write a per subtitle comment?
How do I remove a per subtitle comment?
Exporting activity elements
Shortcuts
Glossary
How do I write a general note?
Just type your text in the top area of the notes. You can change the format of your note with the help of the toolbar.
« Previous
|
Next »


See what happens!
Swipe left and right and have a look around.
Mr. Awuley - You have improved dramaticaly. Keep it up.


--- layout: default main_class: home ---
Welcome to my online home.
I'm a front-end developer and college student from the US East Coast. Read more about me.


review_requested
by Kate Lynch at 2022-11-04 17:11:11.referenced
by Kate Lynch at 2022-11-04 17:11:28.merged
by Kate Lynch at 2022-11-04 17:11:28.closed
by Kate Lynch at 2022-11-04 17:11:28.head_ref_deleted
by Kate Lynch at 2022-11-04 17:11:29.reopened
by None at 2022-11-04 19:08:12.Update: We are only going to do the Bulk edit feature. Not "add embargo date" at bulk ingest. bulk ingest with set embargo dates for senior theses will be added in the ingest via developers. That is the one use case I know of.
labeled
by Trey Pendragon at 2022-11-04 19:29:06.it's actually working
closed
by None at 2022-11-04 19:41:35.@eliotjordan will add a link to an example and state what it should look like to close this ticket.
labeled
by Shaun Ellis at 2022-11-04 19:45:07.mentioned
by Eliot Jordan at 2022-11-04 19:49:45.subscribed
by Eliot Jordan at 2022-11-04 19:49:46.I reached out to folks to confirm deadlines/needs to ensure it falls under sudden-priority
labeled
by None at 2022-11-04 21:03:14.Hey team! Please add your planning poker estimate with Zenhub @kevinreiss @regineheberlein @rladdusaw @sandbergja @leefaisonr
We might want to parse this from https://libcal.princeton.edu/ical_subscribe.php?cid=12260&k=79a5e62a54.
Maybe this gem would work for the ical/ics approach: https://github.com/icalendar/icalendar#parsing-icalendars
labeled
by Kevin Reiss at 2022-11-04 04:00:26.labeled
by Kevin Reiss at 2022-11-04 15:44:15.mentioned
by Kevin Reiss at 2022-11-04 15:46:49.subscribed
by Kevin Reiss at 2022-11-04 15:46:49.mentioned
by None at 2022-11-04 15:46:50.subscribed
by None at 2022-11-04 15:46:50.mentioned
by Jane Sandberg at 2022-11-04 15:46:50.subscribed
by Jane Sandberg at 2022-11-04 15:46:50.mentioned
by None at 2022-11-04 15:46:50.subscribed
by None at 2022-11-04 15:46:50.mentioned
by Robert-Anthony Lee-Faison at 2022-11-04 15:46:50.subscribed
by Robert-Anthony Lee-Faison at 2022-11-04 15:46:50.labeled
by Christina Chortaria at 2022-11-04 15:26:42.review_requested
by Christina Chortaria at 2022-11-04 13:55:37.deployed
by None at 2022-11-04 13:58:22.referenced
by Jane Sandberg at 2022-11-04 16:38:49.merged
by Jane Sandberg at 2022-11-04 16:38:49.closed
by Jane Sandberg at 2022-11-04 16:38:49.head_ref_deleted
by Jane Sandberg at 2022-11-04 16:38:50.labeled
by Christina Chortaria at 2022-11-04 13:50:23.assigned
by Christina Chortaria at 2022-11-04 13:50:26.closed
by Jane Sandberg at 2022-11-04 16:38:50.closed
by Bess Sadler at 2022-11-04 12:48:40.Coverage remained the same at 94.514% when pulling 8f2983282bf36463db5a304c362cf3dcc2f1a895 on iFiggy5439 into e94d3183211826491c47cc5c02dd6f93cc03f104 on main.
deployed
by None at 2022-11-04 15:02:54.convert_to_draft
by Trey Pendragon at 2022-11-04 15:36:42.deployed
by None at 2022-11-04 16:48:56.deployed
by None at 2022-11-04 18:26:38.ready_for_review
by Shaun Ellis at 2022-11-04 18:41:44.referenced
by Kevin Reiss at 2022-11-04 21:09:16.merged
by Kevin Reiss at 2022-11-04 21:09:16.closed
by Kevin Reiss at 2022-11-04 21:09:17.head_ref_deleted
by Kevin Reiss at 2022-11-04 21:09:17.~~https://github.com/pulibrary/princeton_ansible/pull/3419 May be a better way if it passes idempotence~~ Idempotence did not pass...
referenced
by Bess Sadler at 2022-11-04 12:48:39.merged
by Bess Sadler at 2022-11-04 12:48:39.closed
by Bess Sadler at 2022-11-04 12:48:39.head_ref_deleted
by Bess Sadler at 2022-11-04 12:48:40.Run it locally on php 8.1; Use the role work from ealapps.
It will be challenging to run it locally because it's looking two DBs.
Hey team! Please add your planning poker estimate with Zenhub @kevinreiss @leefaisonr @regineheberlein @rladdusaw @sandbergja
Complete this after https://github.com/pulibrary/princeton_ansible/pull/3392
mentioned
by Kevin Reiss at 2022-11-04 15:58:44.subscribed
by Kevin Reiss at 2022-11-04 15:58:44.mentioned
by None at 2022-11-04 15:58:44.subscribed
by None at 2022-11-04 15:58:45.mentioned
by Jane Sandberg at 2022-11-04 15:58:45.subscribed
by Jane Sandberg at 2022-11-04 15:58:45.mentioned
by None at 2022-11-04 15:58:45.subscribed
by None at 2022-11-04 15:58:45.mentioned
by Robert-Anthony Lee-Faison at 2022-11-04 15:58:45.subscribed
by Robert-Anthony Lee-Faison at 2022-11-04 15:58:45.review_requested
by Christina Chortaria at 2022-11-04 13:55:22.referenced
by Jane Sandberg at 2022-11-04 16:15:30.merged
by Jane Sandberg at 2022-11-04 16:15:30.closed
by Jane Sandberg at 2022-11-04 16:15:30.head_ref_deleted
by Jane Sandberg at 2022-11-04 16:15:31.assigned
by Christina Chortaria at 2022-11-04 13:52:16.closed
by Jane Sandberg at 2022-11-04 16:15:32.head_ref_force_pushed
by Francis Kayiwa at 2022-11-04 18:27:17.head_ref_force_pushed
by Francis Kayiwa at 2022-11-04 23:34:24.head_ref_force_pushed
by Francis Kayiwa at 2022-11-05 01:37:17.referenced
by Hector Correa at 2022-11-04 17:19:33.merged
by Hector Correa at 2022-11-04 17:19:33.closed
by Hector Correa at 2022-11-04 17:19:33.head_ref_deleted
by Hector Correa at 2022-11-04 17:19:34.referenced
by Esmé Cowles at 2022-11-04 17:32:44.merged
by Esmé Cowles at 2022-11-04 17:32:44.closed
by Esmé Cowles at 2022-11-04 17:32:44.head_ref_deleted
by Esmé Cowles at 2022-11-04 17:32:45.👍🏻 I'll add a note to the README.
referenced
by None at 2022-11-04 17:51:51.merged
by None at 2022-11-04 17:51:51.closed
by None at 2022-11-04 17:51:52.head_ref_deleted
by None at 2022-11-04 17:51:52.labeled
by None at 2022-11-04 15:52:27.convert_to_draft
by Eliot Jordan at 2022-11-04 15:03:56.review_dismissed
by None at 2022-11-04 15:41:30.ready_for_review
by None at 2022-11-04 15:44:16.referenced
by None at 2022-11-04 15:53:18.merged
by None at 2022-11-04 15:53:18.closed
by None at 2022-11-04 15:53:18.closed
by None at 2022-11-04 15:53:19.assigned
by None at 2022-11-04 15:45:18.closed
by None at 2022-11-04 15:53:20.closed
by Eliot Jordan at 2022-11-04 17:16:00.head_ref_force_pushed
by None at 2022-11-04 15:08:50.head_ref_force_pushed
by None at 2022-11-04 16:13:29.head_ref_force_pushed
by None at 2022-11-04 16:17:59.head_ref_force_pushed
by None at 2022-11-04 16:49:08.review_requested
by None at 2022-11-04 16:55:41.referenced
by Eliot Jordan at 2022-11-04 17:15:59.merged
by Eliot Jordan at 2022-11-04 17:15:59.closed
by Eliot Jordan at 2022-11-04 17:15:59.head_ref_deleted
by Eliot Jordan at 2022-11-04 17:16:02.head_ref_force_pushed
by None at 2022-11-04 16:01:56.referenced
by Eliot Jordan at 2022-11-04 17:16:54.merged
by Eliot Jordan at 2022-11-04 17:16:54.closed
by Eliot Jordan at 2022-11-04 17:16:54.head_ref_deleted
by Eliot Jordan at 2022-11-04 17:16:58.referenced
by Jane Sandberg at 2022-11-04 22:09:05.merged
by Jane Sandberg at 2022-11-04 22:09:05.closed
by Jane Sandberg at 2022-11-04 22:09:05.head_ref_deleted
by Jane Sandberg at 2022-11-04 22:09:06.


This webpage is just an index of my other sites that I have made for school. Here is a list of those sites:


Tablet of Vision:
Countless thoughts beyond comprehension sear painfully into your brain. A vision appears of a woman in blue.
Suddenly the location of the next Stone of Commune becomes clear.
High Priest Gregory in Goddard Castle Town has it! Get it from him!


In space no one can hear you scream.
I don't feel I have to wipe everybody out, Tom. Just my enemies.
Nothing In This World Has Prepared You For This.
His whole life was a million-to-one shot.
Here's to the fools who dream.
Miracles do happen.
Just because you are a character doesn't mean you have character.
The world will never be the same, once you've seen it through the eyes of Forrest Gump.


Police arrest man after teen found dead in New Jersey parking garage
by WABCHACKENSACK, New Jersey (WABC) -- Police have arrested a man in connection to the death of a 19-year-old woman whose body was found inside a New Jersey parking garage.
Officials said police responded to a 911 call around 2:15 a.m. Saturday after Francis Victoria Garcia was found inside of a car parked in a parking garage at 140 Prospect Avenue in Hackensack.
Michael Gaffney was arrested and charged with reckless manslaughter. Police say Garcia was in the rear seat of her car with Gaffney at the time of her death.
An autopsy confirmed that Garcia's death was caused by compression injuries to her neck.
An investigation is ongoing.


"I do believe something very magical can happen when you read a good book." -JK Rowling.
Type characters to Search


Apply for help with NHS costs
5. Refund of costs you've already paid
If you pay for treatment before you apply for help, you may be able to claim a refund.
You must claim a refund within 3 months.
Claim a refund for a prescription
You can only claim a refund if you ask for an NHS receipt form FP57 when you pay. The form tells you what to do to claim your refund.
Claim a refund of other health costs
You need to complete a refund form (HC5) and post it back to us.
If you live in England
Download and complete the relevant form:
- dental
- sight test, glasses or contact lenses
- travel to receive NHS treatment
- NHS wigs or fabric supports
You can also order HC5 forms online (except the HC5 for wigs and fabric supports).


To explore slide your finger on the screen
or tilt your mobile device. Hover the circular cursor over items to select them. You can click this icon
to change the viewing experience for virtual reality.
To explore click the screen and use the circular cursor to hover over objects and select them.
To release your cursor press escape. You can also click this icon
to change the viewing experience for virtual reality.


Having the conference behind now, I'm reviewing some of my impressions and of sessions I attended.
The people
To begin with, this conference was a big success for me, in many respects. The sessions were great (more on that later), but of course, meeting with new people and with familiar people, was the more important part.
I live in Israel, which makes travel to the US very long and expensive. Apparently not many MySQL community members in my neighborhood, so I don't ever get to meet the faces. The conference makes that possible. I did not participate in all community events, as I had scheduled calls with little girls who miss their father. And I was very much under jet lag. And I have more excuses on demand.
But I did get to meet known faces; people I only knew by name; unfamiliar people who were familiar with my work (fun!); and otherwise just (ex-)strangers.
The sessions
There was a variety of sessions to choose from. Many times, I had to pick one out of two or three sessions I was interested in, running at the same time. Not all sessions appeal to one in the same way, but looking back, I find there were a lot of GOOD sessions I attended. I mostly like sessions that are very technical; preferably drilling into details of algorithms & implementation.
I wish to review some of the sessions I attended. I can't possibly review them all, so my apologies to those I left out.
Monday
- Learn how to cure MySQL replication deprivation with Tungsten! / Robert Hodges (Continuent.com), Edward Archibald (Continuent)
This is actually the first time I learned about the internal details of Tungsten. Robert, CEO of Continuent & original developer of Tungsten, did an excellent job in reviewing the various aspects of Tungsten. But rather than being a promotional talk, this was a purely technical tutorial.
So it was interesting to understand the difficulties in building Tungsten, at least on the MySQL part. For example, the Tungsten replicator must do its own filtering of events based on server id, since, although a replicating slave knows how to ignore circular queries issues by itself, there is no client API to do so; you can't "send over" the server id along with a query and expect the server to ignore it.
As seems to be the current and emerging paradigm, parallel replication is possible by paralleling queries from different schemata. But apparently Continuent seem to want to change that. That is, there's nothing that strictly forces that this must be the paradigm; it's just the current implementation.
Giuseppe was in charge of live demos, and has shown stuff like slave disconnect, fail over, multi-master replication etc. Edward Archibald later presented a cluster-like solution based on Tungsten and a replication aware connection proxy.
There was plenty of time for asking questions. Interesting technical issues were discussed and answered. It was also stated very clearly what Tungsten does not do for you, or when it may actually be the gun with which you shoot yourself in the foot. Good talk!
Tuesday
- MQL-to-SQL: a JSON-based Puery Language for RDBMS Access from AJAX Applications / Roland Bouman (XCDSQL Solutions / Strukton Rail)
Roland is now passionate about finding an easier query language for web applications to use. Rather than SQL, he suggests using MQL (created by Freebase). MQL uses JSON (-like) syntax to describe both queries (requests) and result sets (responses). I won't go into the details since Roland himself laid them out on his blog.
As usual with Roland, his session is well thought of. He describes an elegant, appealing syntax. In my opinion, MQL is an intuitive language. It is easily comprehensible by both DBAs and developers. Possibly by my mother.
However Roland goes further and offers his MQL-to-SQL, an open source implementation of a translation tool between the two languages. In his presentation, he demonstrated some simple and some not-so-simple queries, generated by MSQL, translated to SQL, the results of which translated back to MQL.
MQL is not an all-purpose solution. You don't do analytics with MQL, but it does seem to answer some problems that other ORMs (e.g. Django) are, to the best of my knowledge, unable to perform in convenient manner (that is, without reverting to some SQL-like syntax).
Special thanks
Thanks to Giuseppe Maxia, when on MySQL Replication Advanced Techniques he presented some of the openark kit tools, and, having located me in the crowd, invited me to speak.
To be continued
I need to prepare for my flight. Will probably publish next part(s) once back home. Hope to see you all next year!
comments powered by Disqus


comocma.como.Sofomore(interfaces.OOOptimizer)
class documentationcomocma.como
(View In Hierarchy)
Sofomore framework for multiobjective optimization, with the ask-and-tell interface. See: [Toure, Cheikh, et al. "Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework." GECCO'19-Genetic and Evolutionary Computation Conference. 2019.]. Calling Sequences ================= - ``moes = Sofomore(list_of_solvers_instances, reference_point, opts)`` - ``moes = Sofomore(list_of_solvers_instances, reference_point)`` - ``moes = Sofomore(list_of_solvers_instances, reference_point).optimize(objective_fcts)`` Arguments ========= `list_of_solvers_instances` list of instances of single-objective solvers. It's generally created via a factory function. Let's take the example of a factory function that returns cma-es instances, called `get_cmas`. Then: ``list_of_solvers_instances = get_cmas(11 * [x0], sigma0)`` creates a list of 11 cma-es instances of initial mean `x0` and initial step-size `sigma0`. A single-objective solver instance must have the following attributes and methods: - `incumbent`: an attribute that gives an estimate of the single-objective solver. - `objective_values`: an attribute that stores the objective values of the incumbent. - `stop`: a method returning a dictionary representing the termination status. - `ask`: generates new candidate solutions. - `tell`: passes the objective values and updates the states of the single-objective solvers. `opts` opts, a dictionary with optional settings related to the Sofomore framework. It mainly contains the following keys: - 'archive': default value is `True`. If its value is `True`, tracks the non-dominated points that dominate the reference point, among the points evaluated so far during the optimization. The archive will not interfere with the optimization process. - 'indicator_front': default value is `None`. Used via `self.indicator_front = IndicatorFront(self.opts['indicator_front'])` within the __init__ method of Sofomore. See the class IndicatorFront for more details. - 'restart': used to define in __init__ the attribute `restart` via `self.restart = self.opts['restart']`. - 'update_order': default value is a function that takes a natural integer as input and returns a random number between 0 and 1. It is used as a `key value` in: `sorted(..., key = ...)`, and guides the order in which the kernels will be updated during the optimization. `reference_point` reference point of the multiobjective optimization. Its default value is `None` but should be set by the user beforehand to guarantee an optimal p-distribution convergence of the Hypervolume indicator of `p` points towards the Pareto set/front. It can be changed dynamically by the user if needed. Main interface / usage ====================== The interface is inherited from the generic `OOOptimizer` class, which is the same interface used by the `pycma` module. An object instance is generated as following:: >>> import cma, comocma >>> import numpy as np >>> reference_point = [11, 11] >>> num_kernels = 11 # the number of points we seek to have on the Pareto front >>> dimension = 10 # the dimension of the search space >>> x0 = dimension * [0] # an initial mean for cma >>> sigma0 = 0.2 # initial step-size for cma >>> list_of_solvers_instances = comocma.get_cmas(num_kernels * [x0], sigma0, {'verbose':-9}) >>> # `comocma.get_cmas` is a factory function that returns `num_kernels` cma-es instances >>> moes = comocma.Sofomore(list_of_solvers_instances, ... reference_point) #instantiation of our MO optimizer The least verbose interface is via the optimize method:: >>> fitness = comocma.FitFun(cma.ff.sphere, lambda x: cma.ff.sphere(x-1)) # a callable bi-objective function >>> moes.optimize(fitness) # doctest:+ELLIPSIS Iterat #Fevals Hypervolume axis ratios sigmas min&max stds*** More verbosely, the optimization of the callable multiobjective function `fitness` is done via the `ask-and-tell` interface:: >>> moes = comocma.Sofomore(list_of_solvers_instances, reference_point) >>> while not moes.stop() and moes.countiter < 30: ... solutions = moes.ask() # `ask` delivers new candidate solutions ... objective_values = [fitness(x) for x in solutions] ... moes.tell(solutions, objective_values) ... # `tell` updates the MO instance by passing the respective function values. ... moes.disp() # display data on the evolution of the optimization One iteration of the `optimize` interface is equivalent to one step in the loop of the `ask-and-tell` interface. But for the latter, the prototyper has more controls to analyse and guide the optimization, due to the access of the instance between the `ask` and the `tell` calls. Attributes and Properties ========================= - `archive`: list of non-dominated points among all points evaluated so far, which dominate the reference point. - `countevals`: the number of function evaluations. - `countiter`: the number of iterations. - `dimension`: is the dimension of the search space. - `indicator_front`: the indicator used as a changing fitness inside an iteration of Sofomore. By default it is the UHVI of all the objective values of the kernels' incumbents, except the kernel being optimized. See the class `IndicatorFront` for more details. - `isarchive`: a boolean accessible via `self.opts['archive']`. If `True`, we keep track of the archive, otherwise we don't. - `kernels`: initialized with `list_of_solvers_instances`, and is the list of single-objective solvers. - `key_sort_indices`: default value is `self.opts['update_order']`. It is a function used as a key to sort some kernels' indices, in order to select the first indices during the call of the `ask` method. - `logger`: an attribute that accounts for the way we log the Sofomore data during an optimization. `self.logger` is an instance of the SofomoreDataLogger class. - `NDA`: it is the non-dominated archiving method used within Sofomore. By default the class `BiobjectiveNondominatedSortedList` is used in two objectives and the class (non tested yet) `NonDominatedList` is used for three or more objectives. - `opts`: passed options. - `offspring`: list of tuples of the index of a kernel with its corresponding candidate solutions, that we generally get with the cma's `ask` method. - `pareto_front_cut`: list of non-dominated points among the incumbents of `self.kernels`, which dominate the reference point. - `pareto_set_cut`: preimage of `pareto_front_cut`. - `reference_point`: the current reference point. - `restart`: accessible via `self.opts['restart']`. If not `None`, a callback function that adds kernels after a kernel of the running Sofomore instance stops. Its default value is `None`, meaning that we do not do any restart. - `_active_indices`: the indices of the kernels that have not stopped yet. - `_last_stopped_kernel_id`: the index of the last stopped kernel. - `_told_indices`: the kernels' indices for which we will evaluate the objective values of their incumbents, before the next call of the `tell` method. And before the first call of `tell`, they are the indices of all the initial kernels (i.e. `range(len(self))`). And before another call of `tell`, they are the indices of the kernels from which we have sampled new candidate solutions during the penultimate `ask` method. Note that we should call the `ask` method before any call of the `tell` method.
| Method | __init__ | No summary |
| Method | __iter__ | make self iterable. |
| Method | __getitem__ | make self subscriptable. |
| Method | __len__ | return length of the Sofomore instance by calling len(.). |
| Method | sorted | return a reversed sorted list of kernels. |
| Method | ask | No summary |
| Method | tell | No summary |
| Method | pareto_front_cut | return the non-dominated solutions dominating the reference point, among the kernels' objective values. It's the image of self.pareto_set_cut . |
| Method | pareto_set_cut | return the non-dominated solutions whose images dominate the reference point, among the kernels' incumbents. It's the pre-image of self.pareto_front_cut . |
| Method | pareto_front_uncut | provisorial, return _all_ non-dominated objective values irrespectively |
| Method | stop | No summary |
| Method | termination_status | return a dictionary of the current termination states of the kernels. |
| Method | add | add kernels of type list to self.kernels . Generally, kernels are created from a factory function. If kernels is of length 1, the brackets can be omitted. |
| Method | remove | remove elements of the kernels (type list ) that belong to self.kernels , and update the _active_indices attribute. If kernels is of length 1, the brackets can be omitted. |
| Method | median_stds | Undocumented |
| Method | max_max_stds | Undocumented |
| Method | inactivate | No summary |
| Method | activate | activate kernel when it was inactivated beforehand. Otherwise it remains quiet. |
| Method | disp_annotation | copy-pasted from cma.evolution_strategy . print annotation line for disp () |
| Method | disp | copy-pasted from cma.evolution_strategy . print current state variables in a single-line. copy-pasted from cma.evolution_strategy module |
| Method | _UHVI_indicator_archive | return archive for uncrowded hypervolume improvement indicator for kernel . |
| Method | _UHVI_indicator | return indicator function(!) for uncrowded hypervolume improvement for kernel . |
| Method | _indices_to_ask | Undocumented |
Initialization: - `list_of_solvers_instances` is a list of single-objective solvers' instances - The reference_point is set by the user during the initialization. - `opts` is a dictionary updating the values of 'indicator_front', 'archive', 'restart', 'update_order'; that respond respectfully to the changing fitness we will choose within an iteration of Sofomore, whether or not keeping an archive, how to do the restart in case of any restart, and the order of update of the kernels. It also has the keys 'verb_filename', 'verb_log' and 'verb_disp'; that respectfully indicate the name of the filename containing the Sofomore data, the logging of the Sofomore data every 'verb_log' iterations and the display of the data via `self.disp()` every 'verb_disp' iterations.
return length of the Sofomore
instance by calling len(.).
The length is the number of (active and inactive) kernels and hence consistent with subscription like [moes[i] for i in range(len(moes)) if i in moes._active_indices].
return archive for uncrowded hypervolume improvement indicator for kernel
.
kernel
can also be the respective index in self
.
return indicator function(!) for uncrowded hypervolume improvement for kernel
.
>>> import comocma, cma >>> list_of_solvers_instances = comocma.get_cmas(13 * [5 * [1]], 0.7, {'verbose':-9}) >>> fitness = comocma.FitFun(cma.ff.sphere, lambda x: cma.ff.sphere(x-1)) >>> moes = comocma.Sofomore(list_of_solvers_instances, [11, 11]) >>> moes.optimize(fitness, iterations=37) # doctest:+ELLIPSIS Iterat #Fevals Hypervolume axis ratios sigmas min&max stds*** >>> moes._UHVI_indicator(moes[1])(moes[2].objective_values) # doctest:+ELLIPSIS *** >>> moes._UHVI_indicator(1)(moes[2].objective_values) # doctest:+ELLIPSIS ***
both return the UHVI indicator function for kernel 1 and evaluate kernel 2 on it:
>>> [[moes._UHVI_indicator(k)(k.objective_values)] for k in moes] # doctest:+ELLIPSIS ***
is the list of UHVI values for all kernels where kernels occupying the very same objective value have indicator value zero.
return a reversed sorted list of kernels.
By default kernels are reversed sorted by HV contribution or UHVI (which we aim to maximize) in the set of kernels. Exact copies have zero or negative UHVI value.
>>> import comocma, cma >>> list_of_solvers_instances = comocma.get_cmas(13 * [5 * [1]], 0.7, {'verbose':-9}) >>> fitness = comocma.FitFun(cma.ff.sphere, lambda x: cma.ff.sphere(x-1)) >>> moes = comocma.Sofomore(list_of_solvers_instances, [11, 11]) >>> moes.optimize(fitness, iterations=31) # doctest:+ELLIPSIS Iterat #Fevals Hypervolume axis ratios sigmas min&max stds*** >>> moes.sorted(key = lambda k: moes.archive.contributing_hypervolume( ... k.objective_values)) # doctest:+ELLIPSIS [<comocma.como.CmaKernel object at***
sorts w.r.t. archive contribution (clones may get positive contribution).
get the kernels' incumbents to be evaluated and sample new candidate solutions from `number_to_ask` kernels. The sampling is done by calling the `ask` method of the `cma.CMAEvolutionStrategy` class. The indices of the considered kernels' incumbents are given by the `_told_indices` attribute. To get the `number_to_ask` kernels, we use the function `self.key_sort_indices` as a key to sort `self._remaining_indices_to_ask` (which is the list of kernels' indices wherein we choose the first `number_to_ask` elements. And if `number_to_ask` is larger than `len(self._remaining_indices_to_ask)`, we select the list `self._remaining_indices_to_ask` extended with the first `number_to_ask - len(self._remaining_indices_to_ask)` elements of `range(len(self))`, sorted with `self.key_sort_indices` as key. Arguments --------- - `number_to_ask`: the number of kernels for which we sample solutions from, it is of TYPE int or str and is smaller or equal to `len(self)`. The unique case where it is a str instance is when it is equal to "all", meaning that all the kernels are asked. That case is mainly used on parallel mode by distributing the evaluations of the kernels at the same time before calling the `tell` method. The opposite is when `number_to_ask` is equal to 1, which is the exact COMO-CMA-ES algorithm, where the evaluations are done sequentially by updating the kernels one by one. Return ------ The list of the kernels' incumbents to be evaluated, extended with a list of N-dimensional (N is the dimension of the search space) candidate solutions generated from `number_to_ask` kernels to be evaluated. :See: the `ask` method from the class `cma.CMAEvolutionStrategy`, in `evolution_strategy.py` from the `cma` module.
pass objective function values to update the state variables of some kernels, `self._told_indices` and eventually `self.archive`. Arguments --------- `solutions` list or array of points (of type `numpy.ndarray`), most presumably before delivered by the `ask()` method. `objective_values` list of multiobjective function values (of type `list`) corresponding to the respective points in `solutions`. `constraints_values` list of list of constraint values: each element is a list containing the values of one constraint function, that are obtained by evaluation on `solutions`. Details ------- To update a kernel, `tell()` applies the kernel's `tell` method to the kernel's corresponding candidate solutions (offspring) along with the "changing" fitness `- self.indicator_front.hypervolume_improvement`. :See: - the `tell` method from the class `cma.CMAEvolutionStrategy`, in `evolution_strategy.py` from the `cma` module. - the `hypervolume_improvement` method from the class `BiobjectiveNondominatedSortedList`, in the module `moarchiving.py` - the `hypervolume_improvement` method from the class `NonDominatedList`, in the module `nondominatedarchive.py`
self.pareto_set_cut
.self.pareto_front_cut
.provisorial, return _all_ non-dominated objective values irrespectively
of the current reference point. Only points whose contributing HV
does not depend on the current reference point still have the same
cHV in the resulting list
. HV improvements in general may change.
return a nonempty dictionary when all kernels stop, containing all the termination status. Therefore it's solely ... on the kernels' `stop` method, which also return dictionaries. Return ------ For example with 5 kernels, stop should return either None, or a `dict` of the form: {0: dict0, 1: dict1, 2: dict2, 3: dict2, 4: dict4}, where each index `i` is a key which value is the `dict` instance `self.kernels[i].stop()`
kernels
of type list
to self.kernels
.
Generally, kernels
are created from a factory function.
If kernels
is of length 1, the brackets can be omitted.kernels
(type list
) that belong to
self.kernels
, and update the _active_indices
attribute.
If kernels
is of length 1, the brackets can be omitted.kernel
, assuming that it's an element of self.kernels
,
or an index in range(len(self))
.
When inactivated, kernel
is no longer updated, it is ignored.
However we do not remove it from self.kernels
, meaning that kernel
might still play a role, due to its eventual trace in self.pareto_front_cut
.activate kernel
when it was inactivated beforehand. Otherwise
it remains quiet.
We expect the kernel's stop
method in interest to look like:
kernel.stop() = {'callback': ['kernel turned off']}
copy-pasted from cma.evolution_strategy
.
print current state variables in a single-line.
copy-pasted from cma.evolution_strategy
module
Prints only if iteration_counter % modulo == 0.
| See Also | disp_annotation . |


--- layout: default ---
The best classes in any application are the ones that do stuff: the BarcodeDecoder
, the KoopaPhysicsEngine
, and the AudioStreamer
. These classes have dependencies; perhaps a BarcodeCameraFinder
, DefaultPhysicsEngine
, and an HttpStreamer
.
To contrast, the worst classes in any application are the ones that take up space without doing much at all: the BarcodeDecoderFactory
, the CameraServiceLoader
, and the MutableContextWrapper
. These classes are the clumsy duct tape that wires the interesting stuff together.
Dagger is a replacement for these FactoryFactory
classes. It allows you to focus on the interesting classes. Declare dependencies, specify how to satisfy them, and ship your app.
By building on standard javax.inject annotations (JSR-330), each class is easy to test. You don't need a bunch of boilerplate just to swap the RpcCreditCardService
out for a FakeCreditCardService
.
Dependency injection isn't just for testing. It also makes it easy to create reusable, interchangeable modules. You can share the same AuthenticationModule
across all of your apps. And you can run DevLoggingModule
during development and ProdLoggingModule
in production to get the right behavior in each situation.
We'll demonstrate dependency injection and Dagger by building a coffee maker. For complete sample code that you can compile and run, see Dagger's coffee example.
Dagger constructs instances of your application classes and satisfies their dependencies. It uses the javax.inject.Inject
annotation to identify which constructors and fields it is interested in.
Use @Inject
to annotate the constructor that Dagger should use to create instances of a class. When a new instance is requested, Dagger will obtain the required parameters values and invoke this constructor.
class Thermosiphon implements Pump { private final Heater heater; @Inject Thermosiphon(Heater heater) { this.heater = heater; } ... }
Dagger can inject fields directly. In this example it obtains a Heater
instance for the heater
field and a Pump
instance for the pump
field.
class CoffeeMaker { @Inject Heater heater; @Inject Pump pump; ... }
If your class has @Inject
-annotated fields but no @Inject
-annotated constructor, Dagger will use a no-argument constructor if it exists. Classes that lack @Inject
annotations cannot be constructed by Dagger.
Dagger does not support method injection.
By default, Dagger satisfies each dependency by constructing an instance of the requested type as described above. When you request a CoffeeMaker
, it'll obtain one by calling new CoffeeMaker()
and setting its injectable fields.
But @Inject
doesn't work everywhere:
For these cases where @Inject
is insufficient or awkward, use an @Provides
-annotated method to satisfy a dependency. The method's return type defines which dependency it satisfies.
For example, provideHeater()
is invoked whenever a Heater
is required:
@Provides Heater provideHeater() { return new ElectricHeater(); }
It's possible for @Provides
methods to have dependencies of their own. This one returns a Thermosiphon
whenever a Pump
is required:
@Provides Pump providePump(Thermosiphon pump) { return pump; }
All @Provides
methods must belong to a module. These are just classes that have an @Module
annotation.
@Module class DripCoffeeModule { @Provides Heater provideHeater() { return new ElectricHeater(); } @Provides Pump providePump(Thermosiphon pump) { return pump; } }
By convention, @Provides
methods are named with a provide
prefix and module classes are named with a Module
suffix.
The @Inject
and @Provides
-annotated classes form a graph of objects, linked by their dependencies. Obtain this graph by calling ObjectGraph.create()
, which accepts one or more modules:
ObjectGraph objectGraph = ObjectGraph.create(new DripCoffeeModule());
In order to put the graph to use we need to create an entry point. This is usually the main class that starts the application. In this example, the CoffeeApp
class serves as the entry point. We ask the graph to provide an injected instance of this type:
class CoffeeApp implements Runnable { @Inject CoffeeMaker coffeeMaker; @Override public void run() { coffeeMaker.brew(); } public static void main(String[] args) { ObjectGraph objectGraph = ObjectGraph.create(new DripCoffeeModule()); CoffeeApp coffeeApp = objectGraph.get(CoffeeApp.class); ... } }
The only thing that's missing is that the entry point class CoffeeApp
isn't included in the graph. We need to explicitly register it as an entry point in the @Module
annotation.
@Module( entryPoints = CoffeeApp.class ) class DripCoffeeModule { ... }
Entry points enable the complete graph to be validated at compile time. Detecting problems early speeds up development and takes some of the danger out of refactoring.
Now that the graph is constructed and the entry point is injected, we run our coffee maker app. Fun.
$ java -cp ... coffee.CoffeeApp ~ ~ ~ heating ~ ~ ~ => => pumping => => [_]P coffee! [_]P
Annotate an @Provides
method or injectable class with @Singleton
. The graph will use a single instance of the value for all of its clients.
@Provides @Singleton Heater provideHeater() { return new ElectricHeater(); }
The @Singleton
annotation on an injectable class also serves as documentation. It reminds potential maintainers that this class may be shared by multiple threads.
@Singleton class CoffeeMaker { ... }
Sometimes you need an object to be instantiated lazily. For any binding T
, you can create a Lazy<T>
which defers instantiation until the first call to Lazy<T>
's get()
method. If T
is a singleton, then Lazy<T>
will be the same instance for all injections within the ObjectGraph
. Otherwise, each injection site will get its own Lazy<T>
instance. Regardless, subsequent calls to any given instance of Lazy<T>
will return the same underlying instance of T
.
class GridingCoffeeMaker { @Inject Lazy<Grinder> lazyGrinder; public void brew() { while (needsGrinding()) { // Grinder created once on first call to .get() and cached. lazyGrinder.get().grind(); } } }
Sometimes you need multiple instances to be returned instead of just injecting a single value. While you have several options (Factories, Builders, etc.) one option is to inject a Provider<T>
instead of just T
. A Provider<T>
creates a new instance of T
each time .get()
is called.
class BigCoffeeMaker { @Inject Provider<Filter> filterProvider; public void brew(int numberOfPots) { ... for (int p = 0; p < numberOfPots; p++) { maker.addFilter(filterProvider.get()); //new filter every time. maker.addCoffee(...); maker.percolate(); ... } } }
Note: Injecting Provider<T>
has the possibility of creating confusing code, and may be a design smell of mis-scoped or mis-structured objects in your graph. Often you will want to use a Factory<T>
or a Lazy<T>
or re-organize the lifetimes and structure of your code to be able to just inject a T
. Injecting Provider<T>
can, however, be a life saver in some cases. A common use is when you must use a legacy architecture that doesn't line up with your object's natural lifetimes (e.g. servlets are singletons by design, but only are valid in the context of request-specfic data).
Sometimes the type alone is insufficient to identify a dependency. For example, a sophisticated coffee maker app may want separate heaters for the water and the hot plate.
In this case, we add a qualifier annotation. This is any annotation that itself has a @Qualifier
annotation. Here's the declaration of @Named
, a qualifier annotation included in javax.inject
:
@Qualifier @Documented @Retention(RUNTIME) public @interface Named { String value() default ""; }
You can create your own qualifier annotations, or just use @Named
. Apply qualifiers by annotating the field or parameter of interest. The type and qualifier annotation will both be used to identify the dependency.
class ExpensiveCoffeeMaker { @Inject @Named("water") Heater waterHeater; @Inject @Named("hot plate") Heater hotPlateHeater; ... }
Supply qualified values by annotating the corresponding @Provides
method.
@Provides @Named("hot plate") Heater provideHotPlateHeater() { return new ElectricHeater(70); } @Provides @Named("water") Heater provideWaterHeater() { return new ElectricHeater(93); }
Dependencies may not have multiple qualifier annotations.
Warning: This feature should be used sparingly because static dependencies are difficult to test and reuse.
Dagger can inject static fields. Classes that declare static fields with @Inject
annotations must be listed as staticInjections
in a module annotation.
@Module( staticInjections = LegacyCoffeeUtils.class ) class LegacyModule { }
Use ObjectGraph.injectStatics()
to populate these static fields with their injected values:
ObjectGraph objectGraph = ObjectGraph.create(new LegacyModule()); objectGraph.injectStatics();
Dagger includes an annotation processor that validates modules and injections. This processor is strict and will cause a compiler error if any bindings are invalid or incomplete. For example, this module is missing a binding for Executor
:
@Module class DripCoffeeModule { @Provides Heater provideHeater(Executor executor) { return new CpuHeater(executor); } }
When compiling it, javac
rejects the missing binding:
[ERROR] COMPILATION ERROR : [ERROR] error: No binding for java.util.concurrent.Executor required by provideHeater(java.util.concurrent.Executor)
Fix the problem either by adding an @Provides
-annotated method for Executor
, or by marking the module as incomplete. Incomplete modules are permitted to have missing dependencies.
@Module(complete = false) class DripCoffeeModule { @Provides Heater provideHeater(Executor executor) { return new CpuHeater(executor); } }
To get the most out of compile-time validation, create a module that includes all of your application's modules. The annotation processor will detect problems across the modules and report them.
@Module( includes = { DripCoffeeModule.class, ExecutorModule.class } ) public class CoffeeAppModule { }
The annotation processor is enabled automatically when you include Dagger's jar file on your compile classpath.
Dagger's annotation processor may also generate source files with names like CoffeeMaker$InjectAdapter.java
or DripCoffeeModule$ModuleAdapter
. These files are Dagger implementation details. You shouldn't need to use them directly, though they can be handy when step-debugging through an injection.
Dagger will fail with an error if there are multiple competing @Provides
methods for the same dependency. But sometimes it's necessary to replace production code with a substitute for development or testing. Using overrides = true
in a module annotation lets you take precedence over the bindings of other modules.
This JUnit test overrides DripCoffeeModule
's binding for Heater
with a mock object from Mockito. The mock gets injected into the CoffeeMaker
and also into the test.
public class CoffeeMakerTest { @Inject CoffeeMaker coffeeMaker; @Inject Heater heater; @Before public void setUp() { ObjectGraph.create(new TestModule()).inject(this); } @Module( includes = DripCoffeeModule.class, entryPoints = CoffeeMakerTest.class, overrides = true ) static class TestModule { @Provides @Singleton Heater provideHeater() { return Mockito.mock(Heater.class); } } @Test public void testHeaterIsTurnedOnAndThenOff() { Mockito.when(heater.isHot()).thenReturn(true); coffeeMaker.brew(); Mockito.verify(heater, Mockito.times(1)).on(); Mockito.verify(heater, Mockito.times(1)).off(); } }
Overrides are best suited for small variations on the application:
For more substantial variations it's often simpler to use a different combination of modules.
You will need to include the dagger-${dagger.version}.jar
in your application's runtime. In order to activate code generation you will need to include dagger-compiler-${dagger.version}.jar
in your build at compile time.
In a Maven project, one would include the runtime in the dependencies section of your pom.xml
(replacing ${dagger.version}
with the appropriate current release), and the dagger-compiler
artifact as a dependency of the compiler plugin:
<dependencies> <dependency> <groupId>com.squareup</groupId> <artifactId>dagger</artifactId> <version>${dagger.version}</version> </dependency> </dependencies> <build> <plugins> <plugin> <artifactId>maven-compiler-plugin</artifactId> <dependencies> <dependency> <groupId>com.squareup</groupId> <artifactId>dagger-compiler</artifactId> <version>${dagger.version}</version> </dependency> </dependencies> </plugin> </plugins> </build>
Some notable Guice features that Dagger doesn't support:
final
fields and private
members. For best performance Dagger generates code. Work around this by using constructor injection.EagerSingletons
class that declares static fields for each eager singleton.@Inject
annotations cannot be constructed by Dagger, even if they have a no-argument constructor.Copyright 2012 Square, Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


| Interface | Description |
|---|---|
| Action |
Marker interface for high-level application actions
|
| ApplicationState |
Marker interface for high-level application state
|
| AtomErrorToExceptionReasonMapper | |
| AtomToExecutedActionsMapper<T> | |
| FeeMapper | |
| ParticleReducer<T extends ApplicationState> |
Temporary class for reducing up particles into an application state.
|
| StatefulActionToParticleGroupsMapper<T extends Action> |
Maps a high level application action to lower level spun particles used
to construct an atom given a context requirement which this interface describes
via requiredState().
|
| StatelessActionToParticleGroupsMapper<T extends Action> |
Maps a high level application action to lower level spun particles used
to construct an atom.
|
| Class | Description |
|---|---|
| ActionExecutionException.ActionExecutionExceptionBuilder | |
| ActionExecutionExceptionReason |
A High level application error reason for action execution failure
|
| PowFeeMapper |
Maps a complete list of particles ready to be submitted to a POW fee particle.
|
| ShardedAppStateId |
Identifier for application state for a particular address.
|
| ShardedParticleStateId |
Identifier for particle state for a particular address.
|
| Exception | Description |
|---|---|
| ActionExecutionException |
Exception describing an issue occurring when trying to execute a ledger action
|
| StageActionException |
An exception which occurs during the construction of an action.
|


- This delicious salmon goodness goes perfectly with:
- Coffee
- Nothing Else
Buy Salmon Merch!
Available at these five neighborhood locations:
1st and Pike
555 Pike St
Seattle WA, 98103
SeaTac Airport
555 Airport Way
Seatac WA, 98111Seattle Center
2323 Denny Way
Seattle WA, 98130Capitol Hill
2323 Broadway Ave
Seattle WA, 98111Alki
4334 Alki Blvd.
Seattle WA, 98320
Hours:
All locations are currently open 6AM to 8PM but are subject to change
Contact Information:
Contact us any time during regular business hours at 555-5555


Methods
- C
- M
- N
Attributes
| [RW] | contents | |
| [R] | parent | |
| [RW] | real |
Class Public methods
new(app, &blk)
Link
Source: show
# File lib/shoes/mask.rb, line 3 def initialize app, &blk @app = app @parent = app.cslot @real = nil app.cslot.masked = true mask_block_call &blk end
Instance Public methods


1.
Application
Application
Registration email
2.
Case building
Reasons for appeal
Questions
3.
TCW
Login
4.
Hearing requirements
Hearing requirements
Other
Clear data
Answer application questions
Answer reasons for appeal
Case worker sets questions
Answer questions
additional information
hearing requirements
Send clarifying questions to appellant


You can activate the date picker without writing any Javascript. Add the data-datepicker to a text input.
<input type="text" data-datepicker />
You can call the date picker by attaching the pickadate function to the jQuery element.
$('#datePicker').pickadate(options)
Heads up!
Furatto covers some of this plugin features, but if you need a higher level of customization, refer to the official site.
There are several options you can pass via data attributes to the date picker plugin, just by appending the option name to data-, as in data-format.
| Name | Type | Default | Description |
|---|---|---|---|
| format | string | "d mmmm, yyyy" | This options set the format in which the date is displayed in the date picker, such as Urray!, you selected: d mmmm, yyyy |
| formatSubmit | string | undefined | This options sets the actual value to be submitted through the form. |
| select-years | boolean | false | With this option you should be able to select the year through a select element which is render on top of the picker. |
| select-months | boolean | false | With this option you should be able to select the months through a select element which is render on top of the picker. |
According to the piackdate.js plugin the following rules can be use to format any date.
| Rule | Description | Result |
|---|---|---|
| d | Date of the month | 1 - 31 |
| dd | Date of the month with a leading zero | 01 - 31 |
| ddd | Day of the week in short form | Sun - Sat |
| dddd | Date of the week in full form | Sunday - Saturday |
| m | Month of the year | 1 - 12 |
| mm | Month of the year with a leading zero | 01 - 12 |
| mmm | Month name in short form | Jan - Dec |
| mmmm | Month name in full form | January - December |
| yy | Year in short form | 00 - 99 |
| yyyy | Year in full form | 2000 - 2999 |
By default the position of the toolbar is top, but you can customize it by adding a 'position' data attribute.
Add the data-furatto="toolbar" to a link. You have add a a data-content="#idToToolbarContent" for the toolbar pick up the right anchors.
Heads up!
Furatto covers the basics, which should be enough to get up and running, but you are free to checkout the official site documentation.
There are several options you can pass via data attributes to the date picker plugin, just by appending the option name to data-, as in data-position.
| Name | Type | Default | Description |
|---|---|---|---|
| position | string | 'top' | Sets the position for the toolbar. You can use top, bottom,left and right |
| content | string | null | Id of the links container to display on the toolbar, it must have the # symbol next to the id name, as in #idOfToolbarContent. |
Add the data-furatto="modal" attribute to a button or link. It is necessary that you add a data-target="#myModal" attribute poiting to the modal.
<button class="btn btn-info btn-large" data-furatto="modal" data-target="#modal-1" data-transition="1">Launch modal</button>
You can show or hide a modal by calling the show or the hide function, like so:
$('#modal').modal('show');
$('#modal').modal('hide');
There are several options you can pass via data attributes to the modal plugin, just by appending the option name to data-, as in data-target.
| Name | Type | Default | Description |
|---|---|---|---|
| target | string | You should set it up. | Id of the modal with a # symbol appended |
| transition | number | "1" | It's the transition you want in the modal, goes from 1 to 16 |
| theme | string | "default" | It is the theme you want to use for the modal, currently Furatto comes with 7 different ones, primary, danger, info, funky, warning, success, inverse |
Currently there is no support for the swiper via data attributes, but don't worry we are working on it. Sorry for any trouble.
You can call the swiper as described in the official plugin site, check it out at: Swiper. An initializer is provided by default in the compiled JS version of Furatto, it takes the swiper-container class element, as in the example above.
The default values used to invoke the swiper are described below.
| Name | Type | Default | Description |
|---|---|---|---|
| mode | string | horizontal | Sets the orientation for the swiper. |
| loop | boolean | true | Produces an infinite loop on the swiper. |
| calculateHeight | boolean | true | Swiper will calculate container's height depending on slides content. Useful in repsonsive layout or when you don't know height of your slides. |
| grabCursor | boolean | true | This option may a little improve usability of your swiper users. If true, user will see the "grab" cursor when hover on Swiper. |
| paginationClickable | boolean | true | If true then clicking on pagination button will cause transition to appropriate slide. |
| speed | integer | 600 | The interval of time the animation is going to take. |
The javascript call is provided below:
var swiper = new Swiper('.swiper-container', {
pagination: '.swiper-pagination',
mode: 'horizontal',
loop: true,
calculateHeight: true,
grabCursor: true,
paginationClickable: true,
speed: 600
});
Add the data-toggle="tooltip" attribute to any element.
Tooltip on top
You can trigger the tooltip plugin via JS like so:
$('#tooltip').tooltip('show');
| Name | Type | Default | Description |
|---|---|---|---|
| placemenet | string | top | Where to display the tooltip, top, bottom, right, left. |
| original-title | string | undefined | Especifies the text to be displayed on the tooltip. |
| $('#example').tooltip('show') | Displays the tooltip. |
| $('#example').tooltip('hide') | Hides the tooltip. |
| $('#example').tooltip('toggle') | Toggles the tooltip. |
| $('#example').tooltip('show') | Destroys the tooltip. |


Insufflated vs. Oral, Caffeine Comparison
| DOSE: |
25 mg |
insufflated |
Caffeine |
(capsule) |
I would like to intimately detail my experiences with caffeine and Adderall and their different methods of ingestion.
When I was 14, I started drinking coffee. I usually drank only a half cup (about 80-100 mg caffeine) because any more would cause jitters. I found it greatly helped my ADHD and improved my mood. I continued drinking only coffee for several years. I occasionally drink up to 3-4 cups a day. I also enjoy energy drinks such as Red Bull, Full Throttle, NOS, Amp, etc.
Recently I've taken to caffeine pills because they are readily available and very cheap. I can get 200 mg pills for <$0.05 each. I made an important discovery one day after meeting up with my old friend. We were bored and had no pot, so we decided to try snorting some caffeine pills. We bought Western Family brand 200 mg caffeine pills and crushed them up as finely as possible with a credit card. I started with a tiny amount, about 1/8 (25 mg) and used a rolled up $100 bill to snort it.>
I was so ready. That's the best way to describe it. She said it was like smoking cocaine (not crack, just regular cocaine). You just feel ready, ready for anything. You feel stimulated, but calm at the same time. It makes me want to take a nap, but it doesn't, just like coke. It was so similar I thought to call it 'coward's coke' (It's clever because it's yellow). She disagreed saying it was close enough to just call 'coke'.
It was surprisingly euphoric and powerful. The effects come in about 30 seconds. I felt lighter and lighter as the substance surged into my blood stream.
Some interesting comparisons:
--Insufflated caffeine pills--
-Pros-
Quick, very noticeable onset; wonderful before doing work, gives a powerful 'signal' that it's time to get up
Smaller dose needed, 100-200 mg is typical for me, 600 mg is too much and causes nausea and appetite suppression
Little to no light-headedness; normal doses (200 mg or more) of oral caffeine cause light-headedness and sometimes fainting
Little to no stomach pain
Greatly increases motivation as compared to oral, likely due to sudden increase in energy; I want to get up and do something!
Much more euphoric; the euphoria is secondary, not as a direct result of the drug, but rather as a result of increasing the pleasure of doing activities. Tasks become easy and therefore the joy in doing them isn't overpowered by the effort it requires. It also increases the activity of my mind's eye, making imagination much more vivid.
Come down is mild or absent
-Cons-
Nausea can be overwhelming if too much is taken (600 mg is too much for me), I've only had it from oral use once. It was 600 mg taken with little tolerance.
Nosebleeds happen after a few days of insufflation
Nose pain develops with too much use
Increases chances of getting sinus infection (I got one in two weeks because I didn't clean my sinuses out)
Increases nasal congestion sometimes or causes runny nose.
Bitter drip (but not nearly as bad as other pills or drugs and practically unnoticeable with less than 200 mg)
-Notes-
Likely to have shorter duration of action; I haven't noticed it because I continue to work even after it wears off.
Pills should be very finely powdered, more drug is absorbed and pain is much less noticeable.
Unlike other pills (such as lortabs or tramadol) the pain is almost unnoticeable and the drip is subtle and only mildly bitter.
After 10 minutes or so, you should flush your sinuses with saline solution until you can't taste the bitterness anymore.
Caffeine is mildly caustic and any pill will cause damage to your sinuses over time. Clean that stuff out!
Benzedrex or Vick's inhalers are great for clearing the nose prior to insufflation.
Some brands are better for insufflation than others; don't use No-Doz brand, it contains an acid to speed onset (ouch!) and is pricey, but it'll work in a pinch.
Western Family brand is good, about $0.25 each when bought in 16-packs.
Equate brand (from Walmart) is even better, less dye and about $0.05 in bottles of 80.
My favorite brand so far is Jet-Alert double strength. It's about $0.04 in packs of 90, has even less dye, has less other ingredients, and is the most potent by weight (thus less fillers are inhaled) but contains lactose (which some might be allergic to). It also breaks into a finer powder than the above. It's silky smooth!
--Oral caffeine--
-Pros-
Easy and convenient; doesn't require anything but water.
Easy to find; tea, coffee, energy drinks, caffeinated gums, shampoo, etc.
Caffeinated beverages are delicous!
-Cons-
Causes light-headedness in small quantities (200 mg) and fainting in larger quantities (400 mg or more)
Causes stomach pain (especially acidic coffee)
Drinks can be expensive: Red Bull 80mg for $2, Pill 200 mg for $0.05
Milder effect and slower onset are hardly noticable for me.
Come down is very noticable, yawning, dizziness, and sleepiness are common.
-Notes-
More likely have laxative and diuretic properties, esp. coffee. This goes away quickly as tolerance increases.
--Other caffeine notes--
Caffeine works by blocking the action of adenosine, the substance that makes you sleepy.
Caffeine tolerance builds rapidly withing a few days, for me, it stabilizes around 400-600 mg per day.
Caffeine has laxative and diuretic properties, but the effect drops off rapidly with tolerance.
Taking breaks to decrease tolerance does work, but it seems to be more effective overall if used every day, it also tempers the effect so overdose is less likely.
I have ADHD, so caffeine tends to have an opposite effect on me, that is, it helps me calm down, focus, and actually promotes sleep. I often snort 2 pills (400 mg) and then take a 'caffeine nap'. I lay down with my eyes closed and just relax. I have a very light sleep for 10-15 minutes and them I'm REALLY ready to go. It doesn't prevent sleep, it just makes fatigue less noticeable.
It has an effect mostly on the body, as compared to amphetamines (Adderall), which stimulate the mind more. When combined, they work to have a powerful effect on my motivation. I just want to do everything. Everything I do is enjoyable which is great because I've always had a low level of joy. Every task seemed like such a huge effort that I couldn't enjoy anything. Now the effort seems trivial. This combination has turned mountains into mere anthills. It increased my functioning to that of a normal person and even more!
Amphetamines, however, have side effects. They can completely eliminate the desire for sleep, and they cause dry mouth, an unusual taste, dry skin, acne, weight loss, and over-stimulation. They can make me unable to slow down. I feel my legs getting tired, but I don't care and keep working until I'm exhausted.
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.


M77 northbound reopened after reports of person falling from bridge
Police were called to junction one at Dumbreck at around 10am today.
by Lochlin Highet, https://www.dailyrecord.co.uk/authors/lochlin-highet/The M77 between Ayrshire and Glasgow has reopened after reports of a person falling from a bridge.
Police were called to junction one at Dumbreck at around 10am this morning.
The busy motorway had been closed northbound as officers and medical staff were on the scene.
It is unclear if anyone has been injured in the incident.
A spokesperson for Police Scotland at the time of the incident said: “At around 10am on Monday, November 4, we received a report that a person had fallen from a bridge at junction one on the M77.
“Junction one northbound has been closed while emergency service remain on the scene.”
Traffic Scotland said: “M77 northbound has reopened following a police incident.
“Traffic is queuing back to J4 so expect delays.”


At the very beginning of this tutorial, we wrote the following:
move() is an example of a Python function. A function has a name; in this case, it is move. Valid names must start with either a letter or the underscore character “_” and may contain letters, numbers or the underscore character “_”. The name of the function is followed by (). This tells Reeborg (Python) that the function must be executed or called (which are two synonyms).
Functions are an example of what we call an object. We can give one or many names to a given object. We call variable the name that we give to an object. Python uses the equal sign = to associate a name (variable) and an object in the following way:
variable = object
For example, if you find that turn_left() is too long to write, you could define another name (variable) for it as follows:
left = turn_left # no parentheses!
left() # use it
Your turn!
Use a new name (variable) for at least one existing function in a program. Can you use two different names to refer to the same object in a single program?


Transformation matrix between uncoupled and coupled representation for a two-spin system.
U2C = cgmatrix(S1,S2)
cgmatrix
calculates the transformation matrix needed to transform state vectors and operators from the uncoupled spin representation to the coupled spin representation, for a spin system with two spins.
S1
and S2
are the two spin quantum numbers.
U2C
is the resulting transformation matrix. Its elements are Clebsch-Gordan coefficients.
The basis states in the uncoupled spin basis are Zeeman product states of the two spins, |S1,mS1,S2,mS2>, or |mS1,mS2> in abbreviated form. They are ordered in the standard descending lexicographical way as in the rest of EasySpin: top level is mS1 in decreasing order, and then mS2 in decreasing order. For example, for S1=1
and S2=1/2
, the order of states |mS1,mS2> is |1,1/2>, |1,-1/2>, |0,1/2>, |0,-1/2>, |-1,1/2>, |-1,-1/2>.
The coupled basis is in terms of the Zeeman states of the total spin with the quantum numbers Stot and mStot, |S1,S2,Stot,mStot> or |Stot,mStot> for short. The total spin Stot can assume values between S1+S2 and |S1-S2|. The basis states are ordered in descending order of Stot, and for each value of Stot, in descending order of mStot. For example, for S1=1
and S2=1/2
the possible values for the total spin Stot are 3/2 and 1/2. The ordering of |Stot, mStot> is |3/2,3/2>, |3/2,1/2>, |3/2,-1/2>, |3/2,-3/2>, |1/2,1/2>, |1/2,-1/2>.
To transform a state vector psi
from the uncoupled to the coupled representation or vice versa, use
psi_c = U2C*psi_u; % uncoupled -> coupled C2U = U2C'; psi_u = C2U*psi_c; % coupled -> uncoupled
To transform an operator matrix A
(a spin operator, the spin Hamiltonian, or the density matrix) from the uncoupled to the coupled representation or vice versa, use
A_c = U2C*A_u*U2C'; % uncoupled -> coupled C2U = U2C'; A_u = C2U*A_c*C2U'; % coupled -> uncoupled
Two spin-1/2 couple together to give a triplet (Stot=1, three states with mStot = +1, 0, -1) and a singlet (Stot=0, one state with mStot = 0). To calculate the representation of the triplet state |Stot,mStot> = |1,0> in the uncoupled basis, we first define it as a vector in the coupled basis:
psi_c = [0;1;0;0]; % represents |1,0> in the coupled basis
Next, we obtain the transformation matrix using cgmatrix
and apply it to obtain the representation of the state in the uncoupled representations:
U2C = cgmatrix(1/2,1/2) % transformation matrix from uncoupled to coupled basis
U2C = 1.0000 0 0 0 0 0.7071 0.7071 0 0 0 0 1.0000 0 0.7071 -0.7071 0
psi_u = U2C'*psi_c
psi_u = 0 0.7071 0.7071 0
This shows that the coupled triplet state |1,0> is a linear combination of the uncoupled states |+1/2,-1/2> and |-1/2,+1/2>.
cgmatrix
calls clebschgordan to calculate the matrix elements of the transformation matrix.
clebschgordan, wigner3j, wigner6j, wignerd


Lehman NSBE Club connects creative, passionate, dedicated City University of New York(CUNY) and National Society of Black Engineers(NSBE) students interested in learning about creating innovative technology. We put our students skills to the test by exposing them to real world working enviroment, they will learn about evolving datebase field, programming languages and be able to test their functionality while getting hands on experience in today's technology. click on more ifo for location, dates and time for the event.


|
MfgAllocators
0.0.1
|
The parent of all allocator classes. Describe an interface to treat different types of allocators the same. Copy and move constructors and assignments are unavailable. More...
#include <Allocator.hpp>
Public Member Functions | |
| Allocator (const Allocator &other)=delete | |
| Allocator & | operator= (const Allocator &other)=delete |
| Allocator (Allocator &&other)=delete | |
| Allocator & | operator= (Allocator &&other)=delete |
| virtual | ~Allocator () |
| Destructor. | |
| virtual void * | allocate (const size_t &size)=0 |
| Pure virtual method for allocating memory. More... | |
| virtual void | deallocate (void *memory)=0 |
| Pure virtual method for deallocating memory. More... | |
| virtual void | clear ()=0 |
| Pure virtual method for deallocating all the previously allocated memory. | |
| bool | isOutOfMemory () |
| void * | getMemory () |
| size_t | getSize () |
Protected Member Functions | |
| Allocator (void *memory, const size_t &size) | |
| Constructor for child classes. More... | |
Protected Attributes | |
| void * | mMemory |
| size_t | mSize |
The parent of all allocator classes. Describe an interface to treat different types of allocators the same. Copy and move constructors and assignments are unavailable.
|
protected |
Constructor for child classes.
| memory | The beginning of the memory. |
| size | The size of the memory. |
|
pure virtual |
Pure virtual method for allocating memory.
| size | Required size of memory. |
Implemented in mfg::BlockAllocator, mfg::StackAllocator, and mfg::PoolAllocator.
|
pure virtual |
Pure virtual method for deallocating memory.
| memory | The beginning of the memory. |
Implemented in mfg::BlockAllocator, mfg::StackAllocator, and mfg::PoolAllocator.
| void * mfg::Allocator::getMemory | ( | ) |
| size_t mfg::Allocator::getSize | ( | ) |
| bool mfg::Allocator::isOutOfMemory | ( | ) |


information and forms
Price List
check by fax form
ups info - dim weight
book and pattern list
credit application
terms & conditions
drop list
resale cards
california prop 65


@( formId: String, engines: List[String], current: String ) Schema Engine (current: @current) @for(s <- engines) { @s }