COYOTE UGLY -----------
ROBIN:
"Coyote Ugly" is an enigma. With its bevy of babe bartenders one might be led to believe that this is a T&A "Cocktail." The pretty, principally femme cast is sure nice to look at and there is the promise of some skin. But it's a promise unfulfilled. That's because "Coyote Ugly" is, in reality, a chick flick masquerading as a guy movie. So, gentlemen, be warned.
>From the press material, "Coyote Ugly" is "a sexy, romantic comedy [that] is one girl's wild adventure in the big city." If that doesn't sound like a blurb for a girly movie, I don't know what is. I wasn't even fooled when we enter the club, Coyote Ugly, and see Zoe (super model Tyra Banks), Rachel (Bridget Moynahan) and Cammie (Izabella Miko) shake their stuff atop the bar to blaring rock music. My practiced cinematic eye noticed that, while bare mid-drifts and shoulders abound, there is no actual skin (the aforementioned T&A) to be seen.
What the film gives us is a routine, but sweet, rags-to-riches tale of a young woman from the wilds of New Jersey who heads to the Big Apple to find a career as a songsmith. But, for Violet Sanford (Piper Perabo) (and nearly everyone else in the world) the industry is an unpenetrable monolith that will only allow you to break in to the biz if you have an agent - and you can only get an agent if you already broke into the business.  Then, her apartment is broken into and what little she has is stolen. It's a tough life for the babe-in-the-woods and it looks like she'll have to head back home to the security of her father, Bill (John Goodman). First, though, she meets a handsome young man, Kevin (Adam Garcia), and, at the same time, gets a tip to check out bar named Coyote Ugly for a job.
Coyote Ugly is owned and operated under the iron hand of Lil (Maria Bello), a good-looking, tough-as-nails lady who oversees the goings on in the bar and with her popular barmaids, babes all. The girls shag drinks for thirsty patrons at an astonishing rate, line dance on the bar and, generally, have a good time making money. Violet, nicknamed "Jersey" by Lil, is reluctant, at best, while working the busy bar. She is almost fired by Lil, more than once, but the owner sees something in Violet and keeps her on. Meanwhile, Violet and Kevin get kissy face and he helps her overcome the stage fright that keeps her from becoming a star.
You can guess where this adolescent "A Star Is Born" is heading right from the start. First time scripter Gina Wendkos uses her first-hand experience in the real Coyote Ugly to get the mood and raucous commotion of the bar and the sequences there are slickly done and exciting - we do have gorgeous women in slinky outfits dancing for us, after all. The rest of the story is pretty well traveled stuff and offers nothing original. "Flash Dance," "Fame" and other music-based inspirational flicks came to mind while watching "Coyote Ugly."
Piper Perabo has a sweet, almost virginal, girl-next-door presence with her ever present smile and plucky, if a bit too tentative for someone trying to make it in the NYC music biz, demeanor. A more aggressive character would have been more appropriate, I think, but that would detract from the fairy tale feel the filmmakers are going for. Newcomer Adam Garcia, another transplanted Australian, is good looking and provides the right note to his Kevin, a really, really nice, hard working kid. Of the Coyotes, Maria Bello comes off as the most three-dimensional character in the bar, making Lil a tough-but-fair sort. John Goodman is solid as the caring Dad and isn't given enough screen time, but the actor makes the most of it. The girls in Coyote Ugly are all gorgeous. I'm not sure they can act, but who cares?
First-time helmer David McNally does a decent job moving things along, maintaining a brisk pace that keeps things from dragging. It helps that he has the support of director of photography Amir Mokri ("Slamdance"), who gives the film a good look, throughout, and lends some excitement to the lensing within the bar. Production designer Jon Hutman ("The Horse Whisperer") gives Coyote Ugly and New York a look that more idealistic an better looking than the real thing. Costume designer Marlene Stewart ("Enemy of the State") does a terrific job of giving the impression, for the guys in the audience, of scanty clothes, but actually pulls off a certain unexpected modesty.
"Coyote Ugly" is decent, chick-oriented fun that has enough eye candy for the guys to keep them from complaining too much afterwards. I give it a B-.
LAURA:
I thought this was going to be the cinematic equivalent of a visit to Hooters, but it's really just a more PC 90's version of the 1980's "Flashdance" by way of "Cocktail" - "Flashdance" for the artiste with a dream combined with female empowerment motif and "Cocktail" for the flashy bar moves combined with profession endangers romance plot.
Violet Sanford (Piper Perabo, "The Adventures of Rocky and Bullwinkle") takes care of her dad (John Goodman) in New Jersey but is ready to take a stab at her dream of moving to New York City to become a songwriter. Best buddy Gloria (Melanie Lynskey, "Heavenly Creatures") helps her make the move, lends her some cash and returns to their hometown. Soon Violet finds out that the only way she can get anyone to listen to her songs is to sing them herself, but she suffers from the same stagefright that nipped her deceased mom's songwriting career in the bud.
Violet gets hoodwinked by a club bouncer into thinking the grill guy is the music promoter and pushes a cassette on Kevin O'Donnell (Adam Garcia, "Wilde"). The slick Australian tries to use the situation as a pickup, but soon he's smitten by both the girl and her talent.
Violet hits bottom when her crummy walkup is ransacked and Gloria's monetary gift is stolen. Desperate for a job, she finds herself getting an 'audition' from Lil (Maria Bello, "Permanent Midnight"), the tough cookie owner of Coyote Ugly, a bar where the vampy barmaids rule the roost, dance on the bar and swing from exposed ceiling pipes. This provides the means for Violet (nicknamed Jersey by Lil) to come out of her shell and find her voice, but also sets up conflict with her protective dad and new boyfriend Kevin.
Written by Gina Wendkos (TV's "Wiseguy"), "Coyote Ugly" capitilzes on a real New York hot spot while going through familar, predictable paces. Some of the dialogue, especially in early scenes, is stiff and unnatural ('Bless me father, for I have sinned' says Violet as she dons a crop top for her second night as a Coyote - I think this was supposed to be deep.) However, as the film progresses it does manage to engage on a sheer entertainment level for a number of reasons.
This could be a starmaking vehicle for Piper Perabo, whose fresh faced beauty and wide smile resemble Alanis Morissette crossed with Julia Roberts. That said, producer Jerry Bruckheimer's "Flashdance" only took then newcomer Jennifer Beals so far. Perabo is certainly likeable, however, once she gets past some awkward scripting. (Country star Leann Rimes provides Violet's appropriately Lillith Fairish vocals and gets a cameo at the film's end.) Adam Garcia is a find as her romantic foil - he's streetwise against her naivety, yet sexy, sensitive and supportive. Maria Bello is a standout as tough bar owner Lil - she can handle just about anything and looks good doing it.
The film is well choreographed (Travis Payne) and tightly editted (William Boldenberg, "The Insider"). The bar scenes snap, crackle and pop, whether customers are being hosed down for ordering water or just gaping in awe at the help gyrating above them (the ladies get their due, too, when Coyotes decide to auction off available men at their whim). Rest assured, all this is presented as good, clean fun.
The other Coyotes - Cammie (Polish actress Izabella Miko in her U.S. film debut), Rachel (Bridget Moynahan, Natasha of TV's "Sex and the City") and Zoe (Tyra Banks of Victoria Secrets' catalogue) are merely types, with Zoe departing the action when Jersey comes aboard. Goodman is sweet as Violet's dad even if their relationship plays a bit too good to be true for real life. New Zealander Lynskey is solid and sports a mean Jersey accent as Violet's ultra supportive friend.
"Coyote Ugly" isn't great cinema by a long shot, but it's a summer flick with a hip soundtrack that achieves its modest goals.
B-
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Open vSwitch is a multilayer software switch licensed under the open source Apache 2 license. Our goal is to implement a production quality switch platform that supports standard management interfaces and opens the forwarding functions to programmatic extension and control.
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This is the second part of a three-part Vegan Recipe roundup. Today I am sharing 33 recipes for vegan savory dishes, all of them vegan and low-carb. Some are side dishes, but most of them are full meals with a good amount of plant-based protein. I hope you like them!
If you want to see the first post of this roundup, check out 12 vegan keto breakfasts
Vegan paleo is possible!
These vegan cigofte look amazing!
If you like middle east food, try some moussaka.
Zodles are a favorite of mine. Check out these ones from KetoDietApp with avocado, or you can top your zoodles with this walnut bolognese.
For pizza, you can have a cauliflower crust, or use a flax crust.
Cauliflower can be used to make tabbouleh as well as a potato salad that isn’t!
If you like shirataki pasta, give a go to this creamy curry noodle bowl, or try this pad thai (you can substitute the peanut butter for cashew or almond butter).
This vegan loaf looks spectacular!
And for some easier recipes, you can try this bok choy salad (replacing the honey with stevia) or these Collard green wraps.
Soy can be a great source of protein
You can use it to make burgers with white soy beans or using mung sprouts.
You can use soy granules for lasagna, tacos or cabbage rolls.
And edamame is great as a snack with some sesame and soy sauce, or as part of this keto lo mein.
And of course, tofu is a real star for low-carb vegan protein
This kale salad with tahini dressing looks amazing.
Scrambled tofu is great for a quick, easy fix.
If you like indian food, you can try my tofu tikka, some spiralized chowmein, this palak paneer (which uses tofu instead of cheese), this healthy Indian Curry or some curry coconut milk soup.
If you are into thai food, you can try my thai-style curry or this thai coconut peanut curry.
And you can try my soy-free tofu, made with flax and chickpea flour.
And for those of you who can tolerate seitan
You can use it to make steaks (this is my favorite seitan recipe!), sausages or to make mock chicken.


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Response returned by most Queue API calls.
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Specifies the configuration for a Queue.
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A Queue Message
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| messageId | string (uuid) | optional | UUID of Message Data associated with this Queue Message | |
| queueName | string | required | Name of Queue for message. | |
| sendingRegion | string | optional | Region from which was sent | |
| receivingRegion | string | optional | Regions to which message will be sent | |
| createDate | integer (int64) | optional | Date that message was received by system. | |
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| data | string | optional | Embedded JSON to be sent with Queue Message. | |
| href | string | optional | URL of data associated with Queue Message (if not embedded JSON) |


I want to lend a word of encouragement to those of you who wish to try the wondrous experience of cultivating mushrooms. Using a combination of various methods (based around pressure cooking some brown rice cakes), I have been successful! I began with 2 spore prints about 1 1/2 months ago. One print I aquired by mail, the other I had made myself while overseas (with a piece of paper and a p. mexicana cap). I suggest that anyone who wants to try this should get a spore print from a reputable source. The one I made myself has worked, but many more jars became contaminated.
Persistence has been key in getting my jars to the point of sprouting 'shrooms. If you asked me last week, though, I would say it was a failure. The rice cakes, fully colonized, had been in my humidifier-tank for almost two weeks, and we were just gonna eat the cakes. When I pulled one out, I noticed some little mushroom nubs near the bottom. Rejoicing followed.
All the info you may need is easily attainable online, but I would like to make a couple of important observations/techniques available as well:
First of all, my successful jars were all clones of the strongest mycelium from the spore print growth. This required an extra two weeks, but was well worth it. Once my first round of jars became colonized, I simply cut off small bits of mycelium from the two strongest-looking jars and innoculated fresh rice cake jars with that. These jars were colonized completely within two weeks and turned out to be very resistant to my sometimes-careless handling which likely introduced contaminants. These are the jars (with the exception of one earlier run and one 'mexicana' I saved) that are fruiting right now.
This leads me to my next observation: Getting the cakes colonized was relatively easy, but fruiting? They took their sweet time. Hey, I'm in no rush, but it was disconcerting; wondering if the cakes would succumb to infection before bearing the sought-after fruit.
The jar to fruit first was one that I didn't 'pop' out of its jelly jar and set in the tank. It was one that I left IN the colonization jar, due to one small exposed patch of rice. Well, condensation ran down the inside of the jar, and this wet spot was where the little 'shroomies first appeared--not on top, as I expected.
When I noticed these little guys poking their heads up (as we were about to eat the cake, since we thought it wasn't gonna grow!), I popped the cake out onto some vermiculite and into the tank. Lo and behold, all the cakes (which are NOT all the same age!) began fruiting within a day. Perhaps sort of like the action of ethylene, emitted by the pears and peaches in your kitchen as they ripen, stimulating the ripening of their nearby fruits, the mushrooms may stimulate their neighbors. This seems likely to me due to the simultaneous fruiting of jars of various ages. One jar is only 50% colonized, on the top half, it's still in the jar (uncovered of course), and it is fruiting right next to the others.
I'll have to take a 'shroom-coated cake with me on a little picnic to sit next to the big ol' cow pie I innoculated out in the yard. Grow little guys!!! Grow!! Draw what educated conclusions you can from these uncontrolled, amateur lab observations. Maybe this will help some of you in your own 'growing' projects. Best of luck!
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.


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University of Southern California, Fall 2022
Citizens across the globe spend an increasing proportion of their daily lives online. Their activities leave behind granular, time-stamped footprints of human behavior and personal interactions that represent a new and exciting source of data to study standing questions about political and social behavior. At the same time, the volume and heterogeneity of digital data present unprecedented methodological challenges. The goal of this course is to introduce students to new computational social science methods and tools required to explore and harness the potential of digital trace data using the R programming language.
The course will follow a “learning-by-doing” approach and will place emphasis on gaining experience in analyzing data using R. Students are expected to do the required readings and coding exercises for each week. The lectures will build upon the content of the readings with a series of data challenges that will introduce new statistical and programming concepts, which will then be applied to the analysis of data from published research papers or common tasks in computational social science. Most of the applications will be related to Political Science and International Relations questions, but the course should be of interest to social science students more generally.
| Pablo Barberá |<EMAIL_ADDRESS>| @p_barbera |
| Class meetings | Wednesdays | 5:00–7:50 pm | CPA 256 |
| Office hours | Mondays | 4:00–5:00 pm | Zoom - sign up here |
| Fridays | 9:00–10:00 am | Zoom - sign up here |
Other times by appointment.
The course assumes prior knowledge of probability theory, hypothesis testing, regression analysis at the level of POIR 611 or equivalent, research design at the level of POIR 610 or equivalent, and familiarity with the R programming language. The exercises and problem sets will assume that you know how to read datasets in R, work with vectors and data frames, write simple functions and loops, and run basic statistical analyses, such as a t-test or a linear regression. More advance knowledge of maximum likelihood, causal inference, and Bayesian statistics is helpful but not required.
Students are expected to bring a laptop to class and follow along the coding section of each session. The USC Computing Center offers a Laptop Loaner Program for students who may not have access to one.
Each session will be divided into three blocks: an introduction to a computational social science tool or method, a discussion of recent research that uses that method, and a lab component that will demonstrate how to use it with R.
The first block, led by the instructor, will be based on a set of readings from textbooks and introductory manuals. This part will assume that all students have done the readings and thus we will move quickly and focus on the most complex aspects, how these methods are embedded in the broader computational social science literature, and strengths and weaknesses that perhaps were not obvious from the readings.
The second block will feature a critical discussion of recent publications or working papers that apply these methods. Two students will prepare a two-page referee report (due the night before the class) and a 12-minute presentation during which they will discuss their assessment of the paper. All students in the class are expected to at least have skimmed the papers and be ready to ask questions or engage in the discussion.
The third part of each class will be applied. The instructor will provide code and data that illustrate the application of a specific computational social science method, followed by a “coding challenge” where students will need to apply what they have learned to a new dataset. The code and output (pdf or html file) of their coding challenge needs to be submitted via GitHub classroom before the beginning of the following class.
Students are expected to attend every session, and do the assigned readings before each session. You should come to class with questions and ready to engage in a discussion about that week’s topic.
Each student is expected to write TWO referee reports and present them to the rest of the class. The report should be 800-1000 words long and provide a critical evaluation of the strengths and weakness of the paper, with a particular emphasis on its methodological aspects. For some suggestions on how to write a good report, see for example this Special Issue on Peer Review in The Political Methodologist. The presentation in class should summarize the main points in the referee report, but also go beyond its content by e.g. suggesting follow-up studies or other methods that could have been applied. The use of slides is recommended but not required. Each presentation should last no longer than 12 minutes, not including questions.
Note: The referee report will be due by 8pm the day before the class where it will be discussed via email.
At the end of each class, the instructor will share a short problem set based on the content of that class. There will be some time during class to start working on this exercise, and to address any question, but most of it should be completed after class. Each of these coding challenges will be due before the beginning of the following class, when the solutions (or a sketch of the solution) will be posted. They will not be graded, but submitting at least FIVE of them is compulsory. A complete submission should be done via GitHub and include both the R script with the code written by the student (and comments with interpretation of the results, answering the questions) as well as a pdf/html file showing the output of compiling the code.
Late submissions will not be accepted.
Students are required to submit an original research paper that employs any of the methods introduced in the course. The goal of this exercise is to demonstrate that you have the ability to conduct research in computational social science. This research paper can be an individual or group project (up to 3 people). For more information and deadlines for each component of the project, go to the Project page.
This course will use R, which is a free and open-source programming language primarily used for statistics and data analysis. We will also use RStudio, which is an easy-to-use interface to R. Make sure you install R and RStudio before the first day of class.
Science should be open, and this course builds up other open licensed material, so unless otherwise noted, all materials for this class are licensed under a Creative Commons Attribution 4.0 International License.
More specifically, some of the content of this course is based on materials kindly shared by Dan Cervone, Alex Hanna, Ken Benoit, Paul Nulty, Kevin Munger, Arthur Spirling, Katya Ognyanova, Rochelle Terman, Justin Grimmer, Karsten Donnay, Zoltan Fazekas, Jonathan Kastellec, and is probably inspired by many others who have publicly released their teaching materials. I have tried to give credit to the original author of each script, but if I forgot anyone, please feel free to reach out.
The layout for this website was designed by Jeffrey Arnold (thanks!).
The source for the materials of this course is on GitHub at pablobarbera/POIR613
If you have any feedback on the course or find any typos or errors in this website go to issues, click on the “New Issue” button to create a new issue, and add your suggestion or describe the problem.


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high
very high


WITNESS LIST Finance Committee (Subcommittee on Articles IV and V) February 10, 1998-9:00A Court of Criminal Appeals On: McCormick, Michael J. (Presiding Judge, COCA), Lockhart Court Reporters Certification Board On: Harle, Sid (The Hon.) (Chairman, CRCB), San Antonio Liedtke, Peg (Exec. Sect., CRCB), Austin Fifth Court of Appeals On: Thomas, Linda (Chief Justice, 5th COA), Dallas First Court of Appeals On: Schneider, Mike (Chief Justice, 1st COA), Houston Fourteenth Court of Appeals On: Murphy, Paul (Chief Justice, 14th COA), Houston Fourth Court of Appeals On: Hardberger, Phil (Chief Justice, 4th COA), San Antonio Legislative Budget Board On: Barton, John (LBB), Austin O'Brien, John (LBB), Austin Pharr, Bill (LBB), Austin Ofc. of the State Prosecuting Attny On: Paul, Matthew (State Prosecuting Attny), Austin Office of Court Administration On: Benedict, Jerry L. (OCA), Austin Rybacki, Doug (OCA), Austin Seventh Court of Appeals On: Boyd, John T. (Chief Justice, 7th COA), Amarillo Sixth Court of Appeals On: Cornelius, William J. (Chief Justice, 6th COA), Texarkana State Auditor's Office On: Alwin, Lawrence F. (State Auditor), Austin Claire, Andrea (SAO), Austin Levitt, Matthew (SAO), Austin State Commsn on Judicial Conduct On: Flowers, Robert (SCOJC), Austin State Law Library On: Schlueter, Kay (SLL), Austin Supreme Court of Texas On: Phillips, Thomas R. (Chief Justice, SCOT), Austin Tenth Court of Appeals On: Davis, Rex (Chief Justice, 10th COA), Waco Third Court of Appeals On: Aboussie, Marylin (Justice, 3rd COA), Austin Thirteenth Court of Appeals On: Seerden, Robert J. (Chief Justice, 13th COA), Corpus Christi Twelfth Court of Appeals On: Ramey, Tom B. (Chief Justice, 12th COA), Tyler


[§388-42] Other applicable provisions. Sections 388-1 to 388-13 shall be applicable to this part and the terms "wages" and "compensation" used in the sections shall include all compensation payable under this part. [L 1972, c 52, pt of §1]


{% set fromBc = fromBC() %}
Transactions
{{ fromBc['transactions'] | comma }} Txs
24h Transactions
{{ fromBc['transactions_24h'] | comma }} Txs
Current Price
$ {{ fromBc['market_price_usd'] | int | comma }}
Market dominance
{{ fromBc['market_dominance_percentage'] }}%
Supply
{{ fromBc['circulation_approximate'] | fromWeiRounded(0) | comma }}
Market cap
${{ fromBc['market_cap_usd'] | comma }}
Inflation
${{ fromBc['inflation_usd_24h'] | int | comma }}


Contact Info
Name
Email
Phone
Address
Attachments
Attachment 1
Attachment 2
Form Security
Reset Form
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Welcome to Seattle! Check out the Activities page and start building your itinerary.
Click on My Suitcase to view your saved activities. In Seattle and need help? Check out the Resources page.


About Us
About Us
At Axurcio, we believe that it all starts with people. Our people are here to help your people work smarter, not harder.
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Have a wealth of experience of complex cloud transformations and integrations in medium and large enterprises. Both in the public and private sector.
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Romanian Review of Regional Studies is accredited and ranked in the B+ category by the NATIONAL UNIVERSITY RESEARCH COUNCIL (CNCSIS), code: 854.
ABOUT THE JOURNAL
ISSN-L: 1841-1576
Online ISSN: 2344-3707
Edited by: CENTRE FOR REGIONAL GEOGRAPHY
Published by: PRESA UNIVERSITARĂ CLUJEANĂ (CLUJ UNIVERSITY PRESS)
Frequency: Semiannual (issued in June and December)
This work is licensed under a Creative Commons Attribution 4.0 International License.


|
Panda3D
|
An interface to whatever real-time clock we might have available in the current environment. More...
Public Member Functions | |
| int | getErrorCount () |
| Returns the number of clock errors that have been detected. More... | |
| double | getLongTime () |
| double | getShortRawTime () |
| double | getShortTime () |
| bool | setCpuAffinity (uint32_t mask) |
Static Public Member Functions | |
| static TrueClock | getGlobalPtr () |
| Returns a pointer to the one TrueClock object in the world. More... | |
Public Attributes | |
| int | error_count |
| Returns the number of clock errors that have been detected. More... | |
| double | long_time |
| get_long_time() returns the most accurate timer we have over a long interval. It may not be very precise for measuring short intervals, but it should not drift substantially over the long haul. More... | |
| double | short_raw_time |
| get_short_raw_time() is like get_short_time(), but does not apply any corrections (e.g. paranoid-clock) to the result returned by the OS. More... | |
| double | short_time |
| get_short_time() returns the most precise timer we have over a short interval. It may tend to drift over the long haul, but it should have lots of digits to measure short intervals very precisely. More... | |
An interface to whatever real-time clock we might have available in the current environment.
There is only one TrueClock in existence, and it constructs itself.
The TrueClock returns elapsed real time in seconds since some undefined epoch. Since it is not defined at what time precisely the clock indicates zero, this value can only be meaningfully used to measure elapsed time, by sampling it at two different times and subtracting.
| int getErrorCount | ( | ) |
Returns the number of clock errors that have been detected.
Each time a clock error is detected, in which the value returned by either of the above methods is suspect, the value returned by this method will be incremented. Applications can monitor this value and react, for instance, by resynchronizing their clocks each time this value changes.
|
static |
Returns a pointer to the one TrueClock object in the world.
| double getLongTime | ( | ) |
| double getShortRawTime | ( | ) |
| double getShortTime | ( | ) |
| bool setCpuAffinity | ( | uint32_t | mask | ) |
| int error_count |
Returns the number of clock errors that have been detected.
Each time a clock error is detected, in which the value returned by either of the above methods is suspect, the value returned by this method will be incremented. Applications can monitor this value and react, for instance, by resynchronizing their clocks each time this value changes.
| double long_time |
get_long_time() returns the most accurate timer we have over a long interval. It may not be very precise for measuring short intervals, but it should not drift substantially over the long haul.
| double short_raw_time |
get_short_raw_time() is like get_short_time(), but does not apply any corrections (e.g. paranoid-clock) to the result returned by the OS.
| double short_time |
get_short_time() returns the most precise timer we have over a short interval. It may tend to drift over the long haul, but it should have lots of digits to measure short intervals very precisely.


Jonas:
The salad that will accompany the steak will be made from marsh moss, one of Dion's delicacies. This moss only grows in the Cruma Marshlands, and its refreshing taste is truly a treat. They say that you can find the moss if you ask Priestess Glyvka.
Return


created 11/07/98; revised 11/24/99, 01/22/00, 07/20/02, 05/26/03
Nested
if
and else
statements can be used to choose
between several options.
But, sometimes nested statements
are inconvenient.
This chapter discusses
other ways to choose between
several options.
switch
statement.
Neither of these statements
does anything that can't be done
with if
s and else
s.
But they are useful enough to know about,
and you will need to know them to use
programs written by other programmers.
Neither of these statements are part of the AP Computer Science test given to high school students in the US. For them, this entire chapter may be skipped. These statements are not used in the chapters that follow.


Enter user name:
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Hi {{ applicant.name }},
You can now use the following password {{ password }} to continue your application process for {{ applicant.process.label }}. The link is the same for everytime you want to log in joinus.socialhackersacademy.org. You have to complete everything before the deadline {{ applicant.process.deadline }}.
If you have any question, you can contact us to this email address or go directly into our office (Anaxagora 3-5, Romantso (Office 204), Athens 105 52).
See you soon in Social Hackers Academy!
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Dashboard
Price Estimation
About
Prediction
Input for Predictions
Bedroom:
5
Bathroom:
3
Car Spaces:
3
Land Size:
Built Size:
Built Date:
Choose Suburb:
Perth
East Perth
West Perth
Crawley
Northbridge
Nedlands
Submit
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Class: Concurrent::Actress::Core
- Inherits:
-
Object
- Object
- Concurrent::Actress::Core
- Includes:
- TypeCheck, Logging
- Defined in:
- lib/concurrent/actress/core.rb
Overview
Instance Attribute Summary (collapse)
-
- (Object) actor_class
readonly
Returns the value of attribute actor_class.
-
- (Executor) executor
readonly
Which is used to process messages.
-
- (String) name
readonly
The name of this instance, it should be uniq (not enforced right now).
-
- (String) path
readonly
A path of this actor.
-
- (Reference) reference
readonly
Reference to this actor which can be safely passed around.
-
- (Event) terminated
readonly
Event which will become set when actor is terminated.
Instance Method Summary (collapse)
- - (Object) add_child(child) private
- - (Object) Child!(value, *types) included from TypeCheck
- - (Boolean) Child?(value, *types) included from TypeCheck
-
- (Array<Reference>) children
Of children actors.
-
- (Object) guard!
private
ensures that we are inside of the executor.
-
- (Core) initialize(opts = {}, &block)
constructor
A new instance of Core.
- - (Object) Match!(value, *types) included from TypeCheck
- - (Boolean) Match?(value, *types) included from TypeCheck
-
- (Object) on_envelope(envelope)
is executed by Reference scheduling processing of new messages can be called from other alternative Reference implementations.
-
- (Reference?) parent
Of parent actor.
- - (Object) remove_child(child) private
-
- (Object) terminate!
Terminates the actor.
-
- (true, false) terminated?
If actor is terminated.
- - (Object) Type!(value, *types) included from TypeCheck
- - (Boolean) Type?(value, *types) included from TypeCheck
Constructor Details
- (Core) initialize(opts = {}, &block)
Returns a new instance of Core
41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 |
# File 'lib/concurrent/actress/core.rb', line 41 def initialize(opts = {}, &block) @mailbox = Array.new @serialized_execution = SerializedExecution.new # noinspection RubyArgCount @terminated = Event.new @executor = Type! opts.fetch(:executor, Concurrent.configuration.global_task_pool), Executor @children = Set.new @reference = Reference.new self @name = (Type! opts.fetch(:name), String, Symbol).to_s @actor = Concurrent::Atomic.new parent = opts[:parent] @parent_core = (Type! parent, Reference, NilClass) && parent.send(:core) if @parent_core.nil? && @name != '/' raise 'only root has no parent' end @path = @parent_core<EMAIL_ADDRESS>@name) : @name @logger = opts[:logger] @parent_core.add_child reference if @parent_core @actor_class = actor_class = Child! opts.fetch(:class), Context args = opts.fetch(:args, []) initialized = Type! opts[:initialized], IVar, NilClass schedule_execution do begin @actor.value = actor_class.new(*args, &block). tap { |a| a.send :initialize_core, self } initialized.set true if initialized rescue => ex log ERROR, ex terminate! initialized.fail ex if initialized end end end |
Instance Attribute Details
- (Object) actor_class (readonly)
Returns the value of attribute actor_class
30 |
# File 'lib/concurrent/actress/core.rb', line 30 attr_reader :reference, :name, :path, :executor, :terminated, :actor_class |
- (Executor) executor (readonly)
Returns which is used to process messages
30 |
# File 'lib/concurrent/actress/core.rb', line 30 attr_reader :reference, :name, :path, :executor, :terminated, :actor_class |
- (String) name (readonly)
Returns the name of this instance, it should be uniq (not enforced right now)
30 |
# File 'lib/concurrent/actress/core.rb', line 30 attr_reader :reference, :name, :path, :executor, :terminated, :actor_class |
- (String) path (readonly)
Returns a path of this actor. It is used for easier orientation and logging.
Path is constructed recursively with: parent.path + self.name
up to a ROOT,
e.g. /an_actor/its_child
.
(It will also probably form a supervision path (failures will be reported up to parents)
in future versions.)
30 |
# File 'lib/concurrent/actress/core.rb', line 30 attr_reader :reference, :name, :path, :executor, :terminated, :actor_class |
- (Reference) reference (readonly)
Returns reference to this actor which can be safely passed around
30 31 32 |
# File 'lib/concurrent/actress/core.rb', line 30 def reference @reference end |
- (Event) terminated (readonly)
Returns event which will become set when actor is terminated.
30 |
# File 'lib/concurrent/actress/core.rb', line 30 attr_reader :reference, :name, :path, :executor, :terminated, :actor_class |
Instance Method Details
- (Object) add_child(child)
This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.
92 93 94 95 96 97 |
# File 'lib/concurrent/actress/core.rb', line 92 def add_child(child) guard! Type! child, Reference @children.add child nil end |
- (Object) Child!(value, *types) Originally defined in module TypeCheck
- (Boolean) Child?(value, *types) Originally defined in module TypeCheck
- (Array<Reference>) children
Returns of children actors
86 87 88 89 |
# File 'lib/concurrent/actress/core.rb', line 86 def children guard! @children.to_a end |
- (Object) guard!
This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.
ensures that we are inside of the executor
153 154 155 156 157 |
# File 'lib/concurrent/actress/core.rb', line 153 def guard! unless Actress.current == reference raise "can be called only inside actor #{reference} but was #{Actress.current}" end end |
- (Object) Match!(value, *types) Originally defined in module TypeCheck
- (Boolean) Match?(value, *types) Originally defined in module TypeCheck
- (Object) on_envelope(envelope)
is executed by Reference scheduling processing of new messages can be called from other alternative Reference implementations
111 112 113 114 115 116 117 118 119 120 121 |
# File 'lib/concurrent/actress/core.rb', line 111 def on_envelope(envelope) schedule_execution do if terminated? reject_envelope envelope else @mailbox.push envelope end process_envelopes? end nil end |
- (Reference?) parent
Returns of parent actor
81 82 83 |
# File 'lib/concurrent/actress/core.rb', line 81 def parent @parent_core && @parent_core.reference end |
- (Object) remove_child(child)
This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.
100 101 102 103 104 105 106 |
# File 'lib/concurrent/actress/core.rb', line 100 def remove_child(child) schedule_execution do Type! child, Reference @children.delete child end nil end |
- (Object) terminate!
Terminates the actor. Any Envelope received after termination is rejected. Terminates all its children, does not wait until they are terminated.
131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 |
# File 'lib/concurrent/actress/core.rb', line 131 def terminate! guard! return nil if terminated? @children.each do |ch| ch.send(:core).tap { |core| core.send(:schedule_execution) { core.terminate! } } end @terminated.set @parent_core.remove_child reference if @parent_core @mailbox.each do |envelope| reject_envelope envelope log DEBUG, "rejected #{envelope.} from #{envelope.sender_path}" end @mailbox.clear nil end |
- (true, false) terminated?
Actor rejects envelopes when terminated.
Returns if actor is terminated
125 126 127 |
# File 'lib/concurrent/actress/core.rb', line 125 def terminated? @terminated.set? end |


vignettes/tutorial_raw_text.Rmd
tutorial_raw_text.Rmd
This tutorial gives an example of how to use akc
package to carry out automatic knowledge classification based on raw text. First, load the packages we need.
library(akc)
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
In the dataset, we have the ID, title, keyword and abstract of documents. We are going to use the keyword as the dictionary to extract keywords from the abstract.
bibli_data_table
#> # A tibble: 1,448 x 4
#> id title keyword abstract
#> <int> <chr> <chr> <chr>
#> 1 1 Keeping the doors ope~ Austerity; community c~ "English public librari~
#> 2 2 Comparison of Sloveni~ Comparative librarians~ "This paper aims to pro~
#> 3 3 Analysis of the facto~ Continuation will of v~ "This study aims to dev~
#> 4 4 Redefining Library an~ Curriculum; education ~ "The purpose of this st~
#> 5 5 Can in-house use data~ Check-out use; circula~ "Libraries worldwide ar~
#> 6 6 Practices of communit~ Community councillors;~ "The purpose of the res~
#> 7 7 Exploring Becoming, D~ Library and Informatio~ "Professional identity ~
#> 8 8 Predictors of burnout~ Emotional exhaustion; ~ "Work stress and profes~
#> 9 9 The Roma and document~ Academic libraries; co~ "This paper explores th~
#> 10 10 Mediation effect of k~ Job performance; knowl~ "This paper proposes a ~
#> # ... with 1,438 more rows
keyword_clean
is designed to split the keywords and removed pure numbers and contents in the parentheses. All letters would be converted to lower case. Details see the help of keyword_clean
, use “?keyword_clean”. After cleaning, we’ll use these keywords to establish a dictionary.
Using keyword_extract
to extract keywords from the abstract. Here, we also exclude the stop words using the “stopword” parameter.
While this process has consider lots of factors, such as stemming, lemmatizing, etc. Here I’ll provide a easy implementation. For advanced usage, use “?keyword_merge” to find out.
This process will construct a keyword co-occurrence network and use community detection to group the keywords automatically. You can use “top” or “min_freq” to control how many keywords should be included in the network. “top” means how many keywords with largest frequency should be included. “min_freq” means the included keywords should emerge at least how many times. Default uses top = 200
and min_freq = 1
.
Getting the result as a table could be easy by:
grouped_keywords %>%
as_tibble()
#> # A tibble: 203 x 3
#> name freq group
#> <chr> <int> <int>
#> 1 academic 351 2
#> 2 academic librarians 42 2
#> 3 academic libraries 229 2
#> 4 access 201 1
#> 5 accessibility 25 1
#> 6 acquisition 43 2
#> 7 activities 110 1
#> 8 analysis 301 1
#> 9 archives 34 2
#> 10 aspects 67 1
#> # ... with 193 more rows
If you only wants the top keywords to be displayed, keyword_table
provides another relatively formal table:
grouped_keywords %>%
keyword_table()
#> # A tibble: 2 x 2
#> Group `Keywords(TOP 10)`
#> <int> <chr>
#> 1 1 library (1583); research (589); information (583); data (437); universi~
#> 2 2 academic (351); collection (283); development (254); academic libraries~
In such implementation, only two groups are found. You can specify the number of top keywords using “top” parameter.
Currently, keyword_vis
,keyword_network
and keyword_cloud
could all be used to draw plots for the network, but in differnt forms. Let’s try to draw a word cloud first:
If you want to draw a network, use keyword_network
:
In the plot, “N=106” means altogether there are 106 keywords in the group, though only the top 10 by frequency are showed in the graph. If you only want to visualize the second group and display 20 nodes, try:
Have fun playing with akc!


val contentsDirectory: Path
Path to the common contents directory. Directory is guaranteed to exist (created if not exists already).
On Android, it points to files directory. On iOS, it points to Documents directory.
files
Documents


If you don't know what ratio your screen is, you just take the resolution and divide the larger number by the smaller. 1024/768=1.33 Here's the summary:
5:4, 1280x1024 = 1.25, Non-widescreen LCD monitors.
4:3, 800x600, 1024x768 = 1.33, Non-widescreen TVs and monitors
16:10, 1280x800, 1680x1050, 1920x1200 = 1.6, Widescreen monitors
16:9, 1280x720, 1600x900, 1920x1080, 2560x1440 = 1.78, Widescreen TVs and newer monitors
Type a new resolution here to add it to the list:


(click for more details)
Circleshelf is a peer-to-peer online textbook marketplace that
allows students to connect and share the books they need.
The web app allows for safe and efficient transactions and does
away with creepy Craiglist meet ups and Facebook back-and-forth.
If you have a textbook, recoup some of the high costs. If you need a
textbook, browse the entire whole campus for it.


Visual Hierarchy
World Market
World Market used the visual hierarchy design principle well in their site. You can see that the thing that draws your eye is the: Save up to 50% off all rugs! They accomplish this by making the box stand out against everything else with a bright red color and making the box very large.
Contrast
Old Navy
Old Navy did a good job at exemplifying the contrast design principle. The contrasting colors they chose were gold, white, navy blue, and a torquoise green. When put side by side it's easily read and compliment eachother. The way they used contrast is very visually appealing.
Hick's Law
Disneyland
Disney uses the Hick's Law design principle by making their site very plain and simple as soon as it is pulled up by the browser. There is only a few links to click on and not much to read. It makes the decision to buy tickets easy with the button easily visible and accessible.


Click below to disconnect your social account from the Si elegans platform. If you disconnect your social account, automatic login will be disabled and the next time you try to log with a social account, you will be prompted for giving permission to the Si elegans application
{% for sublist in available_backends|social_backends %}
{% comment %} backends template context ('social.apps.django_app.context_processors.backends') cannot be used here since backends.backends only contains the name,
thats why the corresponding view fills and passes the available_backend value {% endcomment %}
{% for name, backend in sublist %}
{% associated backend %}
{% if association %}
{% endif %}
{% endfor %}
{% endfor %}


Iowa State Basketball Statistics
VISUALIZING THE PAST AND PRESENT
HOME
ABOUT
2015-16
George Niang
Field Goal Percentage
Free Throw Percentage
Three Point Percentage


Your Name Here
Email:
email here
Phone:
phone here
Github:
@github here
Preferred Pronouns:
pronouns here
About Me
Education
Experience
My Projects


I'm Aazib Chaudhry, a web developer from Pakistan with a focus on compelling story-telling and minimal design.


Penn State: Mumps reported on the University Park campus
by News DeskBy NewsDesk @infectiousdiseasenews
Penn State health officials is reporting that three cases of mumps have been confirmed on the University Park campus. The affected students have been isolated and student health is working with the Pennsylvania Department of Health to identify those who have been in close contact with the three confirmed cases.
Mumps is a highly infectious disease passed through saliva and respiratory secretions. Symptoms often include tender swollen glands below the ear or along the jawline on one or both sides of the face and neck, headache, fever and cold-like symptoms. People with mumps are considered infectious from two days before swelling begins through five days after the start of swelling. For most people, two doses of the measles, mumps and rubella (MMR) vaccine provide adequate immunity to the infection.
- Measles: Confirmed case reported in Clark County, Exposure risk in Portland, Vancouver
- Minnesota: EEE virus found in ruffed grouse in Itasca County
- Dengue in Brazil: 484,779 cases in Minas Gerais
- Marshall Islands: Dengue outbreak now 1,165 cases
- Babesia venatorum reported for the first time in the UK
- Maryland and Wisconsin Cases Looped into Multistate E. coli Outbreak
- Eastern equine encephalitis virus poses emergent threat: NIH
- Dengue in Miami: 11th local case reported this year


Each grid cell will only check entities inside itself. The cells dynamically resize depending on the number of entities to check. Click to move the entities around.


About me:
I was born in 1985 in Kalamazoo, and from there proceeded to get older until now. That actually makes it sound like I stopped aging. Don't be fooled. I'm getting even older right now!
I had a near ten year career as a video editor and videographer, which took me around the world and gave me the opportunity to meet and interview all sorts of people, but that job market is getting saturated, and I've said my goodbyes to it.
Growing up, I was lucky enough to have a household computer by the mid nineties. Kid pix, Number Munchers, Carmen Sandiego, The Oregon Trail: if you were there you know what I'm talking about. These were great ways to pass the time in those days, just before the internet really got down to business, and computers really interested me. At school we had a few old Apple IIe's that a couple friends and I found a BASIC programming book for and took to doing some basic coding during lunch. I even managed to find one in a second-hand store for cheap and had it in my room, exploring how to code basic text-based games and dipping my toes into the graphics on that machine, which consisted of a dozen colors and some horizontal and vertical lines.
That would be it for me for some time though. One Visual Basic course in High School, the only CS related course they offered, would top off my code career until moving to Chicago and enrolling in Dev Bootcamp. Life takes its mysterious twists and turns to get us where we wind up, and I guess I always figured I'd get back to coding somehow. I'm glad to have discovered that, despite my advanced age, I still love to learn and love the challenge of creating solutions from scratch.
And finally, I'm required to tell you something quirky about me. In High School I had a popular (within my class) hip-hop group called Cheezy Mac, who's first single was about mathematical derivatives. Last I heard, they were still playing a song we made for a physics teacher as his walk-on song during school assemblies. And yes, I still rap very well when pressed.


[RR] Constraints Plugin
RRConstraintsPlugin is an open-source plugin for Xcode 5.1+. It improves workflow for constraints based layout by adding new features to Xcode Interface Builder.
v1.4
Grayed out and dashed lines for "Remove at build time" constraints
v1.3
Distribute views horizontally/vertically (for same width/height views)
Double-Click constraint to "Select and Edit..."
v1.2
Fixed icons not updating when multiple constraints selected and disabled/enabled
Highlight item in outline also when constraint item hovered
v1.1
Added Xcode 5.1 UUID
Features
Highlite item in outline also when constraint item hovered
Grayed out and dashed lines for "Remove at build time" constraints
Grayed out icons for "Remove at build time" constraints
Differentiate when constraints firstItem is selected object
Inline constant editing
Reverse first and second item from menu
Double-Click constraint to "Select and Edit..."
Distribute views horizontally/vertically (for same width/height views)
Clicking constraint in editor will show "Attribute Inspector" in utilities bar
Double clicking constraint in outline will open "Attribute Inspector" in utilities bar


com.zello.channel.sdk
/
SessionState
/
CONNECTING
CONNECTING
CONNECTING
The session is in the process of connecting to the server or channel


CSS Grid Layout excels at dividing a page into major regions or defining the relationship in terms of size, position, and layer, between parts of a control built from HTML primitives.
Like tables, grid layout enables an author to align elements into columns and rows. However, many more layouts are either possible or easier with CSS grid than they were with tables. For example, a grid container's child elements could position themselves so they actually overlap and layer, similar to CSS positioned elements.
Grid Property
The grid CSS property is a shorthand property that sets all of the explicit grid properties (grid-template-rows
, grid-template-columns
, and grid-template-areas
), and all the implicit grid properties (grid-auto-rows
, grid-auto-columns
, and grid-auto-flow
), in a single declaration.
Note: You can only specify the explicit or the implicit grid properties in a single grid
declaration. The sub-properties you don’t specify are set to their initial value, as normal for shorthands. Also, the gutter properties are NOT reset by this shorthand.
Syntax
- /* <'grid-template'> values */
- grid: none;
- grid: "a" 100px "b" 1fr;
- grid: [linename1] "a" 100px [linename2];
- grid: "a" 200px "b" min-content;
- grid: "a" minmax(100px, max-content) "b" 20%;
- grid: 100px / 200px;
- grid: minmax(400px, min-content) / repeat(auto-fill, 50px);
- /* <'grid-template-rows'> /
- [ auto-flow && dense? ] <'grid-auto-columns'>? values */
- grid: 200px / auto-flow;
- grid: 30% / auto-flow dense;
- grid: repeat(3, [line1 line2 line3] 200px) / auto-flow 300px;
- grid: [line1] minmax(20em, max-content) / auto-flow dense 40%;
- /* [ auto-flow && dense? ] <'grid-auto-rows'>? /
- <'grid-template-columns'> values */
- grid: auto-flow / 200px;
- grid: auto-flow dense / 30%;
- grid: auto-flow 300px / repeat(3, [line1 line2 line3] 200px);
- grid: auto-flow dense 40% / [line1] minmax(20em, max-content);
- /* Global values */
- grid: inherit;
- grid: initial;
- grid: unset;
Values
<'grid-template'>
Defines the grid-template
including grid-template-columns
, grid-template-rows
and grid-template-areas
.
<'grid-template-rows'> / [ auto-flow && dense? ] <'grid-auto-columns'>?
Sets up an auto-flow by setting the row tracks explicitly via the grid-template-rows
property (and the grid-template-columns
property to none) and specifying how to auto-repeat the column tracks via grid-auto-columns
(and setting grid-auto-rows
to auto). grid-auto-flow
also set to column accordingly, with dense if it’s specified.
All other grid sub-properties are reset to their initial values.
[ auto-flow && dense? ] <'grid-auto-rows'>? / <'grid-template-columns'>
Sets up an auto-flow by setting the column tracks explicitly via the grid-template-columns
property (and the grid-template-rows
property to none) and specifying how to auto-repeat the row tracks via grid-auto-rows
(and setting grid-auto-columns
to auto). grid-auto-flow
is also set to row accordingly, with dense if it’s specified.
All other grid sub-properties are reset to their initial values.
Formal syntax
< 'grid-template'> | < 'grid-template-rows'> / [ auto-flow && dense? ] < 'grid-auto-columns'>? | [ auto-flow && dense? ] < 'grid-auto-rows'>? / < 'grid-template-columns'>
grid auto flow
The grid-auto-flow
CSS property controls how the auto-placement algorithm works, specifying exactly how auto-placed items get flowed into the grid.
Syntax
- /* Keyword values */
- grid-auto-flow: row;
- grid-auto-flow: column;
- grid-auto-flow: dense;
- grid-auto-flow: row dense;
- grid-auto-flow: column dense;
- /* Global values */
- grid-auto-flow: inherit;
- grid-auto-flow: unset;
- grid-auto-flow: initial;
The property may take one of two forms:
- a single keyword: one of
row
,column
, ordense
. - two keywords:
row dense
orcolumn dense
.
Values
row
Is a keyword specifying that the auto-placement algorithm places items, by filling each row in turn, adding new rows as necessary. If neither row
nor column
is provided, row
is assumed.
column
Is a keyword specifying that the auto-placement algorithm places items, by filling each column in turn, adding new columns as necessary.
dense
Is a keyword specifying that the auto-placement algorithm uses a “dense” packing algorithm, which attempts to fill in holes earlier in the grid, if smaller items come up later. This may cause items to appear out-of-order, when doing so would fill in holes left by larger items.
If it is omitted, a “sparse” algorithm is used, where the placement algorithm only ever moves “forward” in the grid when placing items, never backtracking to fill holes. This ensures that all of the auto-placed items appear “in order”, even if this leaves holes that could have been filled by later items.
Formal syntax
[ row | column ] || dense
grid column
The grid-column
CSS property is a shorthand property for grid-column-start
and grid-column-end
specifying a grid item's size and location within the grid column by contributing a line, a span, or nothing (automatic) to its grid placement, thereby specifying the inline-start and inline-end edge of its grid area.
Syntax
This property is specified as one or two < grid-line >
values.
If two < grid-line >
values are given they are separated by "/". The grid-column-start
longhand is set to the value before the slash, and the grid-column-end
longhand is set to the value after the slash.
Each < grid-line >
value can be specified as:
- either the
auto keyword
- or a
< custom-ident >
value - or an
< integer >
value - or both
< custom-ident >
and< integer >
, separated by a space - or the keyword span together with either a
< custom-ident >
or an< integer >
or both.
Values
auto
Is a keyword indicating that the property contributes nothing to the grid item’s placement, indicating auto-placement, an automatic span, or a default span of 1.
Note: Named grid areas automatically generate implicit named lines of this form, so specifying grid-column: foo; will choose the start/end edge of that named grid area (unless another line named foo-start/foo-end was explicitly specified before it).
Otherwise, this is treated as if the integer 1 had been specified along with the < custom-ident>.
< custom-ident >
If there is a named line with the name '< custom-ident>-start'/' < custom-ident>-end', it contributes the first such line to the grid item’s placement.
< integer > && < custom-ident >?
Contributes the nth grid line to the grid item’s placement. If a negative integer is given, it instead counts in reverse, starting from the end edge of the explicit grid. If a name is given as a < custom-ident >
, only lines with that name are counted. If not enough lines with that name exist, all implicit grid lines are assumed to have that name for the purpose of finding this position. An < integer >
value of 0 is invalid.
span && [ < integer > || < custom-ident > ]
Contributes a grid span to the grid item’s placement such that the corresponding edge of the grid item’s grid area is n lines from the opposite edge. If a name is given as a < custom-ident>, only lines with that name are counted. If not enough lines with that name exist, all implicit grid lines on the side of the explicit grid corresponding to the search direction are assumed to have that name for the purpose of counting this span.
If the < integer> is omitted, it defaults to 1. Negative integers or 0 are invalid.
Formal syntax
< grid-line> [ / < grid-line> ]?
where
< grid-line> = auto | < custom-ident> | [ < integer> && < custom-ident>? ] | [ span && [ < integer> || < custom-ident> ] ]
grid row
The grid-row
CSS property is a shorthand property for grid-row-start
and grid-row-end
specifying a grid item’s size and location within the grid row by contributing a line, a span, or nothing (automatic) to its grid placement, thereby specifying the inline-start and inline-end edge of its grid area.
Syntax
- /* Keyword values */
- grid-row: auto;
- grid-row: auto / auto;
- /* < custom-ident > values */
- grid-row: somegridarea;
- grid-row: somegridarea / someothergridarea;
- /* < integer > + < custom-ident > values */
- grid-row: somegridarea 4;
- grid-row: 4 somegridarea / 6;
- /* span + < integer > + < custom-ident > values */
- grid-row: span 3;
- grid-row: span somegridarea;
- grid-row: 5 somegridarea span;
- grid-row: span 3 / 6;
- grid-row: span somegridarea / span someothergridarea;
- grid-row: 5 somegridarea span / 2 span;
- /* Global values */
- grid-row: inherit;
- grid-row: initial;
- grid-row: unset;
Values
auto
Is a keyword indicating that the property contributes nothing to the grid item’s placement, indicating auto-placement, an automatic span, or a default span of 1.
Note: Named grid areas automatically generate implicit named lines of this form, so specifying grid-column: foo; will choose the start/end edge of that named grid area (unless another line named foo-start/foo-end was explicitly specified before it).
Otherwise, this is treated as if the integer 1 had been specified along with the < custom-ident>.
< custom-ident >
If there is a named line with the name '< custom-ident>-start'/' < custom-ident>-end', it contributes the first such line to the grid item’s placement.
< integer > && < custom-ident >?
Contributes the nth grid line to the grid item’s placement. If a negative integer is given, it instead counts in reverse, starting from the end edge of the explicit grid. If a name is given as a < custom-ident >
, only lines with that name are counted. If not enough lines with that name exist, all implicit grid lines are assumed to have that name for the purpose of finding this position. An < integer >
value of 0 is invalid.
span && [ < integer > || < custom-ident > ]
Contributes a grid span to the grid item’s placement such that the corresponding edge of the grid item’s grid area is n lines from the opposite edge. If a name is given as a < custom-ident>, only lines with that name are counted. If not enough lines with that name exist, all implicit grid lines on the side of the explicit grid corresponding to the search direction are assumed to have that name for the purpose of counting this span.
If the < integer> is omitted, it defaults to 1. Negative integers or 0 are invalid.
Formal syntax
< grid-line> [ / < grid-line> ]?
where
< grid-line> = auto | < custom-ident> | [ < integer> && < custom-ident>? ] | [ span && [ < integer> || < custom-ident> ] ]
grid template
The grid-template
CSS property is a shorthand property for defining grid columns, rows, and areas.
Authors can set values for the longhand properties: grid-template-rows
, grid-template-columns
, and grid-template-areas
.
Syntax
- /* Keyword value */
- grid-template: none;
- /* grid-template-rows / grid-template-columns values */
- grid-template: 100px 1fr / 50px 1fr;
- grid-template: auto 1fr / auto 1fr auto;
- grid-template: [linename] 100px / [columnname1] 30% [columnname2] 70%;
- grid-template: fit-content(100px) / fit-content(40%);
- /* Global values */
- grid-template: inherit;
- grid-template: initial;
- grid-template: unset;
Values
none
Is a keyword that sets all three longhand properties to none, meaning there is no explicit grid. There are no named grid areas. Rows and columns will be implicitly generated; their size will be determined by the grid-auto-rows
, grid-auto-columns
properties.
<'grid-template-rows'> / <'grid-template-columns'>
Sets grid-template-rows
and grid-template-columns
to the specified values, and sets grid-template-areas
to none
.
[ < line-names >? < string > < track-size >? < line-names >? ]+ [ / < explicit-track-list > ]?
Sets grid-template-areas
to the strings listed, grid-template-rows
to the track sizes following each string (filling in auto
for any missing sizes), and splicing in the named lines defined before/after each size, and grid-template-columns
to the track listing specified after the slash (or none
, if not specified).
Note: The repeat()
function isn’t allowed in these track listings, as the tracks are intended to visually line up one-to-one with the rows/columns in the “ASCII art”.
Note: The grid
shorthand accepts the same syntax, but also resets the implicit grid properties to their initial values. Use grid
(as opposed to grid-template
) to prevent these values from cascading in seperately.
Formal syntax
none | [ < 'grid-template-rows'> / < 'grid-template-columns'> ] | [ < line-names>? < string> < track-size>? < line-names>? ]+ [ / < explicit-track-list> ]?
grid gap
The gap
CSS property sets the gaps (gutters) between rows and columns. It is a shorthand for row-gap
and column-gap
.
CSS Grid Layout initially defined the grid-gap property. This prefixed property is being replaced by gap. However, in order to support browsers that implemented grid-gap and not gap for grid, you will need to use the prefixed property as in the interactive example above.
Syntax
- /* One < length > value */
- gap: 20px;
- gap: 1em;
- gap: 3vmin;
- gap: 0.5cm;
- /* One < percentage > value */
- gap: 16%;
- gap: 100%;
- /* Two < length > values */
- gap: 20px 10px;
- gap: 1em 0.5em;
- gap: 3vmin 2vmax;
- gap: 0.5cm 2mm;
- /* One or two < percentage > values */
- gap: 16% 100%;
- gap: 21px 82%;
- /* calc() values */
- gap: calc(10% + 20px);
- gap: calc(20px + 10%) calc(10% - 5px);
- /* Global values */
- gap: inherit;
- gap: initial;
- gap: unset;
This property is specified as a value for <'row-gap'>
followed optionally by a value for <'column-gap'>
. If <'column-gap'>
is omitted, it’s set to the same value as <'row-gap'>
.
<'row-gap'>
and <'column-gap'>
are each specified as a < length >
or a < percentage >
.
Values
length
Is the width of the gutter separating the grid lines.
percentage
Is the width of the gutter separating the grid lines, relative to the dimension of the element.
Formal syntax
<'row-gap'> <'column-gap'>?


Creates an element from a string (without appending it to the document). If the given string contains multiple elements, only the first one will be returned.
Document.createElement()
to create a new element.Element.innerHTML
to set its inner HTML to the string supplied as the argument.ParentNode.firstElementChild
to return the element version of the string.


Visu is an app that is able to show the trajectory of the tool of CNC files and visualize the shape of the thing. The app package contains three cnc example files.


Senior researcher in GI Science, geovisualization, and map generalization. Vice-head of LASTIG lab.
Member of the STRUDEL research team
Directeur de recherche IGN en sciences de l'information géographique, géovisualisation, et généralisation cartographique. Directeur adjoint du LASTIG.
Membre de l'équipe STRUDEL
Description...
Description...
Description...
Description...
Description...
I start working at IGN France as a research assistant in the COGIT research team, assisting Cécile Duchêne and Anne Ruas on map generalisation.
My PhD, obtained in June 2011, was supervised by Cécile Duchêne and Anne Ruas, and dealt with collaborative map generalisation.
After my PhD, I become a senior researcher, still in COGIT team, at IGN France. I'm part of the group on automated cartography and geovisualization.
Defense of my habilitation (HDR) in GI science, which allows in France to be the main supervisor of PhD students.
I take over the leadership if the COGIT research team from Sébastien Mustière.
I become the vice-head of the new LASTIG lab.
A elementum ligula lacus ac quam ultrices a scelerisque praesent vel suspendisse scelerisque a aenean hac montes.
A elementum ligula lacus ac quam ultrices a scelerisque praesent vel suspendisse scelerisque a aenean hac montes.
A elementum ligula lacus ac quam ultrices a scelerisque praesent vel suspendisse scelerisque a aenean hac montes.
A elementum ligula lacus ac quam ultrices a scelerisque praesent vel suspendisse scelerisque a aenean hac montes.


Cluster Serving
API Guide
Python
class InputQueue
The class Input
defines methods allowing you to input data into Cluster Serving Input Pipeline.
init
__init__(host=None, port=None, sync=False, frontend_url=None)
sets up a connection with configuration in your Cluster Serving configuration file config.yaml
.
return: None
enqueue
enqueue(uri, data*)
puts key-value pair into data pipeline, if your model has key regulation, pass corresponded key. Otherwise, give the key any name you want.
return: None
uri
: a string, unique identification of your image
data
: key-value pair of your data.
There are 4 types of inputs in total, string, image, tensor, sparse tensor. See following example to enqueue specific type of data.
Example
Import the dependency and create an instance of InputQueue
from zoo.serving.client import InputQueue
input_api = InputQueue()
To enqueue a list of string, pass a list of str objects, list of str type input is usually used in Tensorflow models.
input_api.enqueue('my-string-input', user_define_key=['hello', 'world'])
To enqueue an image, you could pass either image path or base64 encoded image bytes, the type of your parameter is identified by key of dict, see example below. If you pass image path, cv2
package is required. (Could be installed by pip install opencv-python
)
To pass image path, use key path
image_path = "path/to/image"
input_api.enqueue('my-image1', user_define_key={"path": image_path})
To pass base64 encoded image bytes, use key b64
image_bytes = "base64_encoded_bytes"
input_api.enqueue('my-image1', user_define_key={"b64": image_bytes})
To enqueue a tensor or sparse tensor, numpy
package is required. (Would be installed while you installed Analytics Zoo, if not, could be installed by pip install numpy
)
To enqueue a tensor, pass a ndarray object.
import numpy as np
input_api.enqueue('my-tensor1', a=np.array([1,2]))
To enqueue a sparse tensor pass a list of ndarray object, normally sparse tensor is only used if your model specifies the input as sparse tensor. The list should have size of 3, where the 1st element is a 2-D ndarray, representing the indices of values, the 2nd element is a 1-D ndarray, representing the values corresponded with the indices, the 3rd element is a 1-D ndarray representing the shape of the sparse tensor.
A sparse tensor of shape (5,10), with 3 elements at position (0, 0), (1, 2), (4, 5), having value 101, 102, 103, visualized as following,
101. 0. 0. 0. 0. 0. 0. 0. 0. 0
0. 0. 102. 0. 0. 0. 0. 0. 0. 0
0. 0. 0. 0. 0. 0. 0. 0. 0. 0
0. 0. 0. 0. 0. 0. 0. 0. 0. 0
0. 0. 0. 0. 0. 103. 0. 0. 0. 0
could be represented as following list.
indices = np.array([[0, 1, 4], [0, 2, 5]])
values = np.array([101, 102, 103])
shape = np.array([5, 10])
tensor = [indices, values, shape]
and enqueue it by
input_api.enqueue("my-sparse-tensor", input=tensor)
To enqueue an instance containing several images, tensors and sparse tensors.
import numpy as np
input_api.enqueue('my-instance',
img1={"path: 'path/to/image1'},
img2={"path: 'path/to/image2'},
tensor1=np.array([1,2]),
tensor2=np.array([[1,3],[2,3]])
sparse_tensor=[np.array([[0, 1, 4], [0, 2, 5]]),
np.array([101, 102, 103])
np.array([5, 10])]
)
predict
predict(request_str)
return: Numpy ndarray
Example
from zoo.serving.client import InputQueue
input_api = InputQueue(sync=True, frontend_url=frontend_server_url)
request_json_string='''{
"instances" : [ {
"ids" : [ 100.0, 88.0 ]
}]
}'''
response = input_api.predict(request_json_string)
print(response.text)
class OutputQueue
The class Output
defines methods allowing you to get result from Cluster Serving Output Pipeline.
init
__init__()
sets up a connection with configuration in your Cluster Serving configuration file config.yaml
.
query
query(uri)
query result in output Pipeline by key uri
return: Numpy ndarray
Format:
{
"class_1": "probability_1",
"class_2": "probability_2",
...,
"class_n": "probability_n"
}
where n
is top_n
in your serving config, the result is sorted by output probability.
Example
from zoo.serving.client import OutputQueue
import json
output_api = OutputQueue()
d = output_api.query('my-image')
tmp_dict = json.loads(d)
for class_idx in tmp_dict.keys():
output += "class: " + class_idx + "'s prob: " + tmp_dict[class_idx]
print(output)
dequeue
dequeue()
gets all result of your model prediction and dequeue them from OutputQueue
return: dict(), with keys the uri
of your enqueue, string type, and values the output of your prediction, Numpy ndarray
Format:
{
"image1": {
"class_1": "probability_1",
"class_2": "probability_2",
...,
"class_n": "probability_n"
},
"image2": {
"class_1": "probability_1",
"class_2": "probability_2",
...,
"class_n": "probability_n"
}
...
}
where n
is top_n
in your serving config, the result is sorted by output probability.
Example
from zoo.serving.client import OutputQueue
import json
output_api = OutputQueue()
d = output_api.dequeue()
for k in d.keys():
output = "image: " + k + ", classification-result:"
tmp_dict = json.loads(result[k])
for class_idx in tmp_dict.keys():
output += "class: " + class_idx + "'s prob: " + tmp_dict[class_idx]
print(output)


Made with
LearningThree.js
boiler plate for
three.js
-
ctrl
reset the eyes -
shift
squint the eyes -
space
bounce/stop bounce the cone
-
p
for screenshot


I Am..
a student!
a dreamer!
a good laugher:-)!
My major is
Main Major
|
Double Major
COMPUTER SCIENCE
|
FASHION MARKETING
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--- layout: page title: Lean Prover Zulip Chat Archive permalink: archive/113488general/99658core.html ---
What is the core/ directory in mathlib for? Is it stuff that goes "under" tactics?
core/


#assign n0_docs="true"> <#assign n1_query="true"> <#assign orderBy= "true">
Query bean properties have asc()
and desc()
methods such that they
are added to the orderBy clause.
Produces the SQL below:
```sql select ... from customer t0 where t0.status in (?, ?) order by t0.name desc ```We can add multiple properties to the orderBy clause.
```java List<|Customer> customers = new QCustomer() .status.in(Status.NEW, Status.ACTIVE) .orderBy() .name.desc() .id.asc() .findList(); ```
For standard queries we use orderBy().desc()
or orderBy().asc()
which also can be chained. The same query as above is written without query beans as:
We can specify an order by expression which can include sql formula via orderBy(string)
.
The order by expression can include nulls high
or nulls low
.
We can specify the collate
to use via asc()
and desc()
.
Note that when an ORM query is executed as multiple sql queries due to the use of maxRows or fetchQuery (refer to fetch rules ) - then the associated orderBy expressions for the toMany relationship is automatically moved to the appropriate sql query.
The above ORM query is executed as 2 sql queries due to the maxRows - see fetch rules.
```sql -- Primary query select t0.id, t0.status, t0.name, ... from customer t0 order by t0.name limit 10 -- (2) ``` ```sql -- Secondary query select t0.customer_id, t0.id, t0.first_name, t0.last_name, t0.email from contact t0 where (t0.customer_id) in (? ) order by t0.email -- (1) ``` <@next_edit "Select" "/docs/query/select" "/docs/query/orderBy.html"/>


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| Inf | Name | Position | Nat | Ability | Potential | Morale | Conditions | Played | Value |
|---|---|---|---|---|---|---|---|---|---|
|
{% if player.injured -%}
|
|
{{ player.position }} | {{ player.behaviour}} | {{ player.conditions }}% | 25 | {{player.value}} |
-
{% for team in neighbor_teams %}
- {{ team.name }} {% endfor %}


It made me focus on different things from the beginning. At times, I got frustrated with certain aspects I wasn't managing to incorporate and it was helpful to come back to "process over product"at those times.
I used to take mindfulness sessions / classes with teenagers and children, which was generally a fun and helpful way of addressing things like anxiety, distress and sadness. I thought of meditation as a helpful tool to manage emotions, and as a valuable coping strategy.
I found the attentional blink aspect very interesting as I tend to associate meditation and mindfulness with anxiety management and/or distress tolerance. It was a perspective shift to consider that meditation can be helpful for everyone in any situation.
I think the main thing that I need to focus on is making time each day for meditation. Consistent practice, even if in short bursts, is the concept I want to take away from my reading.
Sometimes sitting and breathing just doesn't suit us. If doesn't gel with you on a particular day, or even ever, there are loads of other ways to meditate and be mindful that are perhaps more active than sitting and breathing.


name: about-me layout: false # About Me I... - am **Syamala Umamaheswaran** - work for **Volkswagen Digital:Lab Berlin** as a Software Engineer - occasionally blog @ https://dev.to/shyamala_u - Twitter: @shyamala_u --- name: inverse layout: true class: center, middle, inverse --- # Why I wrote my own http router https://shyamz-22.github.io/router/ --- name: Go fundamentalist layout: false .left-column[ ## Why ] .right-column[ - https://github.com/julienschmidt/go-http-routing-benchmark - Go fundamentalist - Glanceability - Tooling ]


Nehemiah 11:19
Moreover the porters, Akkub, Talmon, and their brethren that kept the gates, were an hundred seventy and two.


How to talk to someone at risk. Everyone can equip themselves with the tools to support someone in need. You don't need to be a professional to save someone.
Find support near you. Research shows individuals that demonstrate significant or full recovery after spending time with a social support systems.
Talk About Depression is a non-profit transforming perspectives on mental, decreasing social stigma, and give support to those who need it most.


Acme Explosives build report
CruiseControl.NET Build Results for project Acme Explosives (web page)
Build Successful
| Project: | Acme Explosives |
|---|---|
| Date of build: | 2011-03-24 18:05:30 |
| Running time: | 00:01:28 |
| Integration Request: | Build (IfModificationExists) triggered from Continuous Integration Trigger |
| Last changed: | 2011-03-24 17:57:29 |
| Last log entry: | Used priority queue for sending messages. Case 82 |
Modifications since last build (1)
| Revision 22688 | Commiter: alice | Date: 2011-03-28 12:58:28 |
|---|---|---|
| Modified | /trunk/AcmeExplosives/AcmeExplosives.dbproj |
| Modified | /trunk/AcmeExplosives/Schema Objects/Schemas/dbo/Tables/Account.table.sql |
| Modified | /trunk/AcmeExplosives/Schema Objects/Schemas/dbo/Tables/CompanyAccount.table.sql |
| Added | /trunk/AcmeExplosives/Schema Objects/Schemas/dbo/Tables/Constraints/Account.DF_Account_IsCancelled.defconst.sql |
| Deleted | /trunk/AcmeExplosives/Schema Objects/Schemas/dbo/Tables/Keys/Account.UQ_Email.ukey.sql |
Added: 3, Modified: 1, Deleted: 1
Errors (1)
c:\builds\AcmeExplosives\sql\debug\AcmeExplosives.sql (69,0):
error SQL01268: .Net SqlClient Data Provider: Msg 50000, Level 16, State 127, Line 10 Rows were detected. The schema update is terminating because data loss might occur.
Warnings (23)
Mvc\MvcDependencyResolverExtension.cs (24,33):
warning CS1591: Missing XML comment for publicly visible type or member 'Microsoft.Practices.Web.UnityExtensions.Mvc.MvcDependencyResolverExtension.Initialize()'
Mvc\MvcDependencyResolverStrategy.cs (41,16):
warning CS1591: Missing XML comment for publicly visible type or member 'Microsoft.Practices.Web.UnityExtensions.Mvc.MvcDependencyResolverStrategy.MvcDependencyResolverStrategy(Microsoft.Practices.Unity.IUnityContainer)'
Mvc\MvcDependencyResolverStrategy.cs (46,30):
warning CS1591: Missing XML comment for publicly visible type or member 'Microsoft.Practices.Web.UnityExtensions.Mvc.MvcDependencyResolverStrategy.PreBuildUp(Microsoft.Practices.ObjectBuilder2.IBuilderContext)'
StyleCop Report
Number of Violations: 5506


WITNESS LIST Pensions & Investments Committee March 25, 1997-8:00A HB 209 For: Diesing, William (Representing Himself) Puente, Robert (Author of bill) Against: Lehr, Mike (TX. Retired Teachers) On: Jung, Ronnie (Teacher Retirement Sys) HB 239 For: Lehr, Mike (Tx. Retired Teachers) Puente, Robert (Author of bill) HB 796 For: Bosse, Fred (Author of bill) McNeil, Carvel (Houston Police P. Union) Against: Lyons, Steve Lt. (City of Houston) Registering, but not testifying: For: Sanders, Stephen (Houston Police P. Union) HB 1502 For: Ogg, Jack C. (Houston Municipal ERS) Yarbrough, Ken (Author of bill) On: Jeffrion, William L. (City of Houston) Registering, but not testifying: For: Chelette, Barbara (Houston Municipal EPS) Holmes, Fred (Houston Municipal EPS) Jones, Barbara A. (Houston Municipal EPS) Kennedy, Ray (Representing Himself) Long, David (Houston Municipal EPS) HB 1744 For: Elkin, W.M. (Houston Police R.O.A.) Torres, Gerard (Author of bill) Registering, but not testifying: For: Marticiul, Hans (Houston Police O. Union) McNeil, Carvel (Houston Police P. Union) Navarro, Wilfred (Houston Police R.O.A.) Sanders, Stephen (Houston Police P. Union) On: Jeffrion, William L. (City of Houston) HB 1780 For: Greenberg, Sherri (Author of bill) HB 1964 For: Puente, Robert (Author of bill) Reed, Larry A. (S.A. Fire & Police PF) Registering, but not testifying: For: Burney, Frank B. (S.A. Fire & Police PF) Clark, Mark (CLEAT) Creed, Curtis W. (S.A. Fire & Police PF) Cunningham, Robert S. (Police Officer & Assn.) Labatt, Weir (S.A. Fire & Police PF) Self, James O. (S.A. Police Officers) Stewart, Teddy (Fire & Police PF) Todd, David (Trustee & Firefighter) Urbanek, Richard (S.A. Police Officers) HB 2259 For: Gray, Patricia (Author of bill) Hoecker, Terry (Galveston Police EPP) Thompson, Malcolm (Galveston Police DPP) Registering, but not testifying: For: Clark, Mark (CLEAT) On: Davis, Eric W. (TX. Municipal RSBoT) HB 3134 For: Naishtat, Elliot (Author of bill) Registering, but not testifying: For: Fowler, William D. (Austin Assn. Prof. FF) Ikonen, Stan (Austin FF Relief & RF) Kendall, Terrence (Austin FF Relief & RF) Stefka, Bill (Austin FF Pension Fund) HB 3170 For: Jeffrion, William L. (City of Houston) Yarbrough, Ken (Author of bill) Registering, but not testifying: For: Clayton, Jonathan B. (Houston Firemen R&RF) Myers, Donny R. (Houston Fire Pension F.) Patterson, Maxie L. (Houston Firemen R&RF)


Feel more than welcome to fork the project on GitHub https://github.com/melezov/xsbt.org
Or, if you have an interesting XSBT download related resource give me a shout and we can add it to the list.
Legend:
-
Version:
Standardized launcher name, which may differ from the original filename
(e.g. all 0.11.x are originally named just "sbt-launch.jar")
-
Date:
Date when the launcher was first published on the binary repository.
-
Size:
Size in kibibytes.
-
Remote:
Direct URL link to the remote HTTP binary repository.
-
Proxy:
This link performs a redirect to the official binary release repository.
Essentially this is an URL shortening service at the moment,
but the idea is that if the original repo goes down the proxy
link will redirect to the next available failover repository
or serve the local launcher instance.
-
Local:
Local copy of the release, with
direct HTTP downloads from http://xsbt.org/ and
direct HTTPS downloads from https://xsbt.org/
-
FTP:
Local copy of the release, direct FTP download.
FTP download index is available at ftp://xsbt.org/
Alternatively, you can also use the FTPs (secure) connection at ftps://xsbt.org/
-
Gopher:
Local copy of the release, direct Gopher download.
Gopher download index is available at gopher://xsbt.org/
-
SHA-1:
Local copy of the SHA-1 launcher checksum in a plaintext file.
You can also hover over the link to see the checksum.
-
MD5:
Local copy of the MD5 launcher checksum in a plaintext file.
You can also hover over the link to see the checksum.
-
URL:
Local copy of the remote repository HTTP URL in a plaintext file.
-
GRUJ:
Local copy of a GRUJ bootloader for that specific launcher.
GRUJ will download the launcher from the official repo.
See http://gruj.org/
-
Opt:
An optimized version of the launcher jar optimized with
KZip &
7-Zip trials,
deflate stream trimmed with
DeflOpt &
defluff.
All the bytecode and resources are bytewise identical, but the resulting jar file is about 5% smaller.


Recently I tweeted this, mostly in jest of the plethora and confusion of mediums in which to publish content, but also as a kind of reminder to get things straight for myself. Then, by order of that get something written so I could tell others where I put what, and what is what that I publish. Here’s the details.
Medium — i.e. this blog, is a place where I’m going to journal about whatever and I do mean whatever. I might write about cycling, tech, coding, city planning, music, or all sorts of things. No topic is going to be off limits but the one overriding theme here is this will be off the cuff, spontaneous, quickly written and probably completely unedited content that I post. More simply, this is going to be where I write out my stream of consciousness. I have no idea, especially since this is a new effort on my behalf, how frequent it may be. I am guessing I may post 1–4 times per week.
Composite Code — This is my technical blog, with a touch of metal monday, and other things related to my technical interests and my technical work. This is mostly going to include things like conferences, meetups, and where I’ll be speaking, technical docs, write ups on how-tos with languages, tech stack deployments, site reliability engineering, and related material. I post a blog entry here about every ~10–15 days I believe. However I am working on making a much more regular post to this blog to the frequency of about 1–3 times per week.
Twitter — This is my twitter feed, it is indeed merely a twitter feed. It includes a host of tech related things, but also I engage, use it as a primary communication medium with the tech community, and sometimes ramble on about a few other random thoughts or post some solid, brutally awesome, heavy as heavy is, heavy metal. Twitter tends to be my highest volume medium in which I post things to, at about 25–30 tweets per day.
Thrashing Code News — This is my newsletter. I use this to get subscribers first details on upcoming conferences I may be involved in organizing, or conferences that I find that are must attend events. I also post some minor summaries of blog entries for the month (sometimes) and also post about upcoming meetups I’ll be speaking at or other travels out and about where we may be able to meetup, hack some code, enjoy a coffee, have a round of beer, eat, or otherwise get together and nerd on tech, code, and related things. I generally publish a new newsletter every 40–60 days. It’s very low volume!
LinkedIn — I don’t really do much here besides receive emails from tons of random recruiters who 94.6% of the time never actually read my profile, but send me stuff for jobs like “C# Code Janitor” and “Trash Fire Putter Outterer”. My real use for LinkedIn tends to boil down to two specific things: one is a place to put work and resume descriptions and such, and two I use it as an way to manage some auth and interactions. I check this about once every 4–20 days.


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Connected as {{ session['openconv_email'] }} - new billet - logout


This is a Data Science project based on a PoC (proof of concept). There are three main parts that constitutes the project.
Those parts are: ETL with Spark, modeling and Databricks´s cloud analysis, and creating an app and uploading it in a cloud´s platform.
1. ETL with Spark
Dataset found and used is about medical appointments. The selected team for this part has worked with the data.
They have treated and cleaned the data using Spark (outliers, nulls, making new tables, etc).
Feature engineering is being also applied.
2. Modeling and Databricks´s cloud analysis
Dataset is cleaned and ready to use. The selected team has worked to implement a machine learning model that tries to predict the assistance
or not assistance of the medical appointments.
For this purpose, they have used Pandas, SKlearn among others. Finally, they have also made an analysis of Databricks´s cloud too.
3. Creating an app and uploading it in a cloud´s platform
Machine learning model is ready to use. By using Flask, the selected team has created an app.
This app will contain the model. Tryouts have been made in local to test the app.
Once the app worked correctly, the team launched the app in PythonAnywhere. It is just not local, now everyone can have access to it.