THE OPPOSITE OF SEX
A Film Review by James Berardinelli
RATING: ***1/2 OUT OF ****
United States, 1998 U.S. Release Date: 6/98 (limited) Running Length: 1:45 MPAA Classification: R (Sexual themes, profanity, violence) Theatrical Aspect Ratio: 1.85:1
Cast: Christina Ricci, Martin Donovan, Lisa Kudrow, Lyle Lovett, Ivan Sergei, Johnny Galecki Director: Don Roos Producers: Michael Besman, David Kirkpatrick Screenplay: Don Roos Cinematography: Hubert Taczanowski Music: Mason Daring U.S. Distributor: Sony Pictures Classics
The turning point in Christina Ricci's career came when she chose to appear in Ang Lee's THE ICE STORM. Since then, nothing has been the same for the up-and-coming performer. Before the 1997 feature, Ricci had turned up in host of bland, family-oriented features (THE ADDAMS FAMILY, CASPER, NOW & THEN, GOLD DIGGERS) as an innocent young girl. Although the films were often easy to dismiss, the actress' consistently fine performances were not. Finally, with THE ICE STORM, Ricci was given a role of import in a film of substance. Her portrayal of a sexually voracious teenager who sleeps with boys of her age (and younger) is riveting, and it ignited a phase in Ricci's career that has had her playing a drug-addled artist (FEAR AND LOATHING IN LAS VEGAS), an alluring hostage-turned-girlfriend (BUFFALO 66), and a promiscuous young woman who uses her sexuality as a weapon (THE OPPOSITE OF SEX).
Ricci's performance is only one reason why Don Roos' THE OPPOSITE OF SEX is a success. This is perhaps the most audacious film of the year to date (at least among mainstream releases), filling the slot left vacant by 1997's IN THE COMPANY OF MEN. THE OPPOSITE OF SEX is the kind of daring feature that doesn't open every Friday at the local multiplex; its frank, sometimes politically incorrect approach towards the act and politics of sex is refreshing. And, in addition to dealing with intrinsically provocative material, first-time director Roos uses the unique approach of satirizing the conventions of road pictures and dysfunctional family dramas to tell his story. In particular, he has a lot of fun with the voice-over. The glib narrator, Deedee Truitt (Ricci), is aware that she's speaking to a movie audience, and, as a result, can't resist the opportunity to have some fun at the viewer's expense. In her opening monologue, she informs us that "things get very complicated very quick, and you're going to have trouble getting through it without me talking," then, in case we mistake her for a cute-but- misunderstood 16-year old, she warns us that "I don't have a heart of gold and I don't grow one later." When a gun makes a brief appearance, she tells us not to forget about it. ("Duh. It's foreshadowing.") At another time, she "shows" scenes of things that don't really happen, then laughs at our gullibility for believing them.
Although Deedee is the narrator and, consequently, has the largest speaking part, she's not the film's central character. That role belongs to her half-brother, Bill (Martin Donovan), "the definition of a softy." Bill, a gay high school teacher, has been leading a peaceful existence until his pregnant sister runs away from home and comes to him for shelter.  Another constant presence in Bill's life is the always-miserable Lucia (Lisa Kudrow), the sister of his dead true love. Then there are Jason (Johnny Galecki), who falsely tells the police that Bill molested him, and Sheriff Carl Tippett (Lyle Lovett), the genial cop who investigates the boy's claims.
As comedies go, THE OPPOSITE OF SEX is one of 1998's most consistently funny. Of course, humor is subjective, and I'm known for being a little warped in that area, so Roos' flamboyant, out-on-a-limb approach is perfect for someone like me. The dialogue is crisp and distinctive, occasionally invoking the spirit of something written by Kevin Smith (CLERKS, CHASING AMY). However, it's obvious to Roos (and to us) that this kind of slick, unconventional style can have trouble sustaining a feature-length movie. No matter how outrageous the tone, it grows tiresome after a while, so the writer/director changes gears during the second half. Although THE OPPOSITE OF SEX never completely loses its satirical, self-mocking edge, the final 50 minutes are more serious than what precedes them, and the humor is leavened by a couple of earnest, surprisingly-effective messages. One particularly intriguing concept is Carl's assertion that maybe sex isn't for recreation or procreation, but for concentration – that when a man and woman sleep together, the experience attunes them to each other. This is in contrast with Deedee's largely-negative view of sex. For her, it's a burden that leads to such undesirable results as "kids, or disease, or relationships."
While Ricci's performance in THE OPPOSITE OF SEX is the standout, it's not the most surprising example of acting, at least when one considers her previous critical acclaim. Instead, that distinction goes to Lisa Kudrow, who abandons the ditzy image she has refined on television (FRIENDS, MAD ABOUT YOU) and in movies (MOTHER, ROMY & MICHELLE'S HIGH SCHOOL REUNION) in favor of a well-rounded portrayal of a bitter, lonely woman. Lucia proves that Kudrow has a rarely-displayed range. So, with Ricci and Kudrow leading the way, the women in THE OPPOSITE OF SEX are far more interesting than the men. Martin Donovan underplays Bill as smart, affable, and bland. Ivan Sergei plays Matt as dumb, affable, and bland. And Lyle Lovett portrays Carl as strange, affable, and bland.
The tag line for THE OPPOSITE OF SEX is: "You'll laugh, you'll cry, you'll be offended." While that's perhaps overstating the movie's impact, it's not completely off-base. The film manages to mix a portion of successful drama into its primarily-comic foundation, and conservative movie-goers will likely be turned off by the no-punches pulled, occasionally raunchy look at sex. However, with its memorable dialogue, solid performances, and idiosyncratic style, THE OPPOSITE OF SEX is sure to be appreciated by those who aren't frightened away by the cinematic equivalent of hot chili.
Copyright 1998 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1400 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"My belief is that no movie, nothing in life, leaves people neutral.
-- David Puttnam
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Plan your next birthday, office party, or event at Tavernita Chicago. For parties of eight or more we offer different sharing menus and beverage choices. We can accommodate parties of 8 guests up to 100 for sit down dining, and up to 125 for a cocktail style party.
The following documents have Sharing Menu Options for a Sit Down Dinner, and Passed Hors D’oeuvres for a Cocktail Style reception.
Please fill out the following form to contact our event manager so that we can help you plan your next memorable event.
Sharing Menu Options
Cocktail Style Reception | Large Parties Page & More Information | Large Menu Options & Agreement
Event Planner Package


Google’s billionaire cofounders Sergey Brin and Larry Page dropped a surprise visit on a PhD student who sits in Page’s old office at Stanford
by Isobel Asher Hamilton, Business Insider US- Google cofounders Larry Page and Sergey Brin paid a surprise visit to a Stanford PhD student on Friday night.
- The student occupies what used to be Page’s old office when he was doing his own PhD at Stanford, where he met Brin in 1995.
- The tech billionaires told the student they were taking a “trip down memory lane” after stepping down from their roles at Google’s parent company Alphabet.
- Visit Business Insider’s homepage for more stories.
A PhD student at Stanford got a big surprise on Friday night.
Jacob Ritchie is currently doing a PhD in computer science at Stanford University. He tweeted a picture on Friday night showing that Google cofounders Larry Page and Sergey Brin had dropped by his office.
“Larry and Sergey were visiting Stanford to ‘take a trip down memory lane’ after stepping down on Tuesday from their roles at Google and Alphabet,” Ritchie said in a follow-up tweet.
Page and Brin met in 1995 while both doing computer science PhDs at Stanford, and went on to found Google in 1998. The pair announced they were stepping down from their roles at Google’s parent company, Alphabet, this month and remain two of the richest people on the planet.
As it happens, Ritchie now occupies what used to be Page’s office, and the pair apparently knocked on his door while he was working late “on the off chance that there was someone inside.”
According to Ritchie, Page at the time got the office after Brin “illicitly” gave him the master key to the building early, thereby allowing him to choose the best desk.
Ritchie tweeted that the surprise visit was “an incredibly surreal and amazing experience.”


ISO Date Lite is a node/typescript
library for coverting object values between
ISO8601 date strings and native javascript date
objects.
It was originally written as part of another project to cope with the @aws-sdk/util-dynamodb DynamoDB limitations while storing dates.
The API documentation can be found at https://tacticallimit.github.io/isodate-lite/
Use the npm
or yarn
package manager to install isodate-lite.
npm install isodate-lite
yarn install isodate-lite
import {convertDatesToISOStrings, convertISOStringsToDates} from 'isodate-lite';
const exampleDateObject = {
name: 'Eris',
age: 23,
weapons: ['kallisti'],
runDate: new Date(),
};
const exampleISOStringObject = {
name: 'Bob',
age: 42,
weapons: ['pipe'],
runDate: '2021-02-14T09:02:10.232Z',
};
function main() {
const toStringExample = convertDatesToISOStrings(exampleDateObject);
console.log('To string example:', toStringExample);
const toDateExample = convertISOStringsToDates(exampleISOStringObject);
console.log('To date example:', toDateExample);
}
main();
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
Generated using TypeDoc


Shows Profiles and the relationships between them.
Each node is a profile, pointing to the one that it is specialized from.
The top node is the abstract DomainResource defined in the FHIR spec (There's also a plain resource above that which is not shown in this graph). Below that are the individual resource types also defined in the spec. Neither these nor the DomainResource can be changed, and are coloured red in the graph. The remainder of the profiles (coloured blue)are specialized from the resource in the spec. The third row are generally the national profiles with common changes applied with the forth row and below being created for individual use cases or by vendors.
Specialization includes:
Selecting a node in the graph will display the details in the right pane, using a number of views.
Shows details of the selected profile.
Displayed when a profile is selected in the graph, there are a number of views.
{{selectedFsh}}
| Path | MS | Mult. | Description |
|---|---|---|---|
| {{row.path}} | {{row.ed.mustSupport}} | {{row.ed.min}}..{{row.ed.max}} |
{{row.description}}
{{row.err}}
URL:{{row.extUrl}}
{{row.ed.binding.valueSet}}
|
{{selectedSD | json}}
{{input.selectedElement | json}}
| Url / Path | Description |
|---|---|
|
{{ext.url}}
Path: {{ext.path | dropFirstInPath}}
|
{{ext.description}}
Type/s:
{{type.code}}
Binding: {{ext.analysis.binding.valueSet}} ({{ext.analysis.binding.strength}})
|
| Url / Path | Description |
|---|---|
| {{bind.binding.valueSet}}
{{bind.path | dropFirstInPath}}
|
{{bind.binding.description}} |
Contains a list of the extensions used by any profile in this collection.
They can be defined in NZ for use in a profile, or an International one (always preferred if possible)
The profiles that use them, and the path within the profile, are also displayed.
| Url | Description | Profile & path | Types & children |
|---|---|---|---|
| The canonical Url for this extension | The description of the extension | Profiles that use this extension | If a simple extension, then the datatype and binding. If a complex extension, then the child elements with type and binding |
| {{ext.url}} | {{ext.description}} |
{{profile.profile.name}} ({{profile.path}})
|
Simple Extension
Type/s:
{{type.code}}
Binding:
{{ext.analysis.binding.valueSet}} ({{ext.analysis.binding.strength}})
Complex Extension
|
{{input.selectedIG.yaml}}


What's the Problem -- Topic modeling consumer complaints to the CFPB
Find the full code and data for this project at GitHub here.
Overview
- This project examines the text of complaints to the Consumer Financial Protection Bureau.
- Topics are generated using Latent Dirichlet Allocation, an unsupervised clustering algorithm that groups words commonly used in the same context.
- Topics are used to predict which financial product a consumer is referring to, given a set of unstructured text. A support vector machine classifier determined which product a given complaint referred to with 77% accuracy.
- This model could be useful to a company that used a customer service chatbot to efficiently direct consumers to on-site resources.
Introduction
The Consumer Financial Protection Bureau (CFPB) has been around since 2011. The organization is charged with policing financial services companies to ensure that they are fairly treating consumers. One of the ways they gather information on consumers’ experiences is by tallying complaints of wrongdoing against companies.
This graph shows the number of complaints for every day since the organization began keeping track. Complaints have been increasing over its four-year history, and for reasons that escape me, Wednesdays and Thursdays are consistently less frequent days for complaints to be made than the rest of the week.
Complaints include information regarding the company, the product, sub-products, as well as information on whether or not the company in question responded to the consumer.
Topic Modeling
In trying to meet the problems identified in these complaints, whether by the CFPB or the company itself, it’s important to understand what type of product is causing the problem. Teams work on products, and the issues across different types of financial products can vary significantly.
But the distinction between “My bank is opening up credit card applications I didn’t ask for” and “my credit card company keeps calling my house, but I haven’t missed a payment” is subtle, and the sort of thing that doesn’t lend itself to easy product classifications.
You can’t just count the number of times the term “bank” is said, or “credit card” is said and get that this is about credit cards. The first is really about the bank’s service, not the credit cards themselves. The second is really about a debt collector calling someone’s home repeatedly.
To better understand what people are talking about in these complaints, I performed a modeling technique called Latent Dirichlet Allocation.
Here’s a brief introduction to how it works.
- The words in each complaint are converted to simplified versions of the words (i.e., both “property” and “properties” become “properti”) and given unique identifier numbers.
- Numbers that appear in the same complaint documents across the entire set of complaints are grouped together into “topics”. These topics typically include words from multiple documents, and the words in a document are likely to be in multiple documents. Each word in a topic is given a weighting, indicating how “important” a word is to the topic - or how many times it is mentioned across documents in conjunction with the other words.
In the example below, the chart below demonstrates how words in documents on the left match up with the topics across the entire document, on the right.
The first topic is primarily about getting money back, and how consumers interact with the customer service gatekeepers who can do that. The second is all about making mortgage or other home payments (e.g., escrow, taxes). And the third is a little more opaque, with words that describe the account, and the way that interactions go. Not all topics are readily interpretable.
I tested out a series of the topic models to see what size might be a good descriptor, and landed on a topic size of 50. The graphic below shows the relationship between topics and the words that comprise them. Bigger circles indicate topics that are more common.
More graph details
The topics are organized by plotting them on the axes of the two linear combinations that best describe their features - a method known as Principal Component Analysis. The blue bars on the right-hand side indicate the frequency of a word across all the documents in the entire dataset. The red bar indicates how frequent the terms are within a topic. The relevance metric λ is a representation of the relative exclusivity of a term - higher values are more frequent, less exclusive, and lower values are more exclusive, but may be more idiosyncratic.The LDA visualization tool used for this project was developed by Carson Sievert and Kenny Shirley.
The topic highlighted here (just called #10), groups together words about debt collectors. The right-hand side walks includes the words that are common in each topic (the red bars) and the words frequencies across the entire dataset (blue bars).
This type of clustering is especially convenient for large datasets, where it’s impractical to read every one of the entries. Instead, you can look at the topics, and then check the distribution of those topics, especially where they are limited to certain groupings.


Form 1
Phone:
Email:
Form 2
Phone:
Email:
Form 3
Phone:
Email:
Form 4
Phone:
Email:
Form 5
Phone:
Email:


| This inspection reports any instances of JavaScript bitwise mask expressions which are guaranteed to evaluate to true or false in JavaScript code. Expressions checked are of the form (var & constant1) == constant2 or (var | constant1) == constant2, where constant1 and constant2 are incompatible bitmask constants. |
| Powered by InspectionJS |


| Question | Answer |
|---|---|
Do I have to apply for financial aid every year? |
Yes. Your eligibility for financial aid is based on data from the prior calendar year – information that may change from year to year. Be sure to submit the correct year FAFSA, Renewal FAFSA or CA Dream Act Application for the academic year that you plan to enroll, and by the annual March 2 deadline. |
How can I check to see whether my FAFSA has been processed? |
If you submit online, you can check the status of your FAFSA immediately. You can check the status of a paper FAFSA after it has been processed (roughly 7–10 days from the date mailed) by logging in to fafsa.gov or by contacting the Federal Student Aid Information Center. If your FAFSA is still being processed, we recommend that you wait a few days before checking the status again. |
How do I use IRS Data Retrieval to update the estimated tax information I used to complete my FAFSA now that my taxes are filed? |
See directions for using the IRS Data Retrieval tool here. |
How do I apply for scholarships? now that my taxes are filed? |
If you’re a new student, you apply for scholarships on the UC Application for Undergraduate
Admission and Scholarships. Scholarship awards may be based on your academic achievement
and/or financial need. UCR scholarship notifications will be included in financial
aid offers. Below are just a few resources for online scholarship searches. |
How can I get Work-Study? |
Connect with the Career Center to learn more about Work-Study and how to apply for it.
|
I don't want to borrow loans. How do I get grant money? |
Most grant funds are targeted to the highest need students from the lowest income families. For example, Federal Pell Grants are available to undergraduate students who meet Federal Expected Family Contributions limits. University grant funds are offered to undergraduate students who apply on time, based on family income and financial need. If you do not qualify for grant funding, fixed rate, low interest federal loans are a good way to finance your education and invest in your future. Other options to reduce your need to borrow include:
|
What is my Expected Family Contribution (EFC)? |
The Expected Family Contribution (EFC) (which appears on your financial aid offer on Growl) is the amount that you and your parents are expected to contribute towards your education over the course of the academic year. Your EFC may include both a student contribution and a parent contribution. Your EFC figure is not an actual amount that you and your parents have to pay to UCR, but is an approximation of how much you and your parents should reasonably be able to contribute toward all of your educational expenses, including your housing, food, and utility costs, as well as costs due to personal expenses and transportation that will not be on any UCR billing statement. In general, when your financial aid does not cover your full quarterly/monthly billing “amount due,” this amount will come from your “Family Contribution”. |
Do I have to pay the Parent Contribution (PC) to the college? |
Not necessarily. Quarterly fees, on-campus housing charges, and parking fees are paid directly to the college and will show up on your Growl student account. Your financial aid will first credit these charges, and then you are responsible for paying any of the expenses remaining. These expenses, and any other remaining educational costs, can be paid out of pocket or your parents may be eligible to borrow a parent PLUS loan to replace all or part of the PC. |
What if we need additional financial aid assistance? |
You may be eligible to borrow a Parent PLUS Loan to replace all or a portion of the Expected Parent Contribution (PC) (and/or the Expected Student Contribution (SC). The maximum PLUS you may borrow is the UCR cost of attendance less other financial aid. To determine the maximum amount you may qualify to receive, subtract the Total Financial Aid shown on your financial aid award on Growl from the Total Cost of Attendance. In addition, students may be able to replace a portion of the Expected Family Contribution (EFC) with an Unsubsidized Stafford Loan. If the student is not receiving the maximum Stafford Loan based on his or her grade level, he/she may borrow the remaining amount in an Unsubsidized Stafford Loan. |
Can I get an early estimate of my financial aid award at UCR? |
Yes! Check out UCR’s Financial Aid Estimator. Actual aid awards begin to appear on MyUCR on or after the date you’ve been admitted beginning in Mid-March, and can also be viewed at UCR’s student portal on Growl.
|
When will my financial aid funds be available to pay my fees? |
Once you have accepted your financial aid, it will be applied to pay your registration fees automatically prior to the deadline to pay fees, as long as you have submitted any required documents, enrolled in courses, cleared all holds, and completed pre-loan counseling (new borrowers). You should accept your awards on Growl and submit your loan promissory notes at least two weeks prior to the date that fees are due in order to allow for processing in time to meet the fee payment deadline. For example, fall bills are usually available to view on Growl in mid-August and fall fees are usually due September 15. Outside scholarships may be issued to you directly in a check, depending on the procedures of the donor. Scholarship checks made payable to UC Regents will be credited to your student account as soon as possible, either in full or 1/3 of the amount each quarter. Federal Work-Study is paid on a monthly basis by a payroll check for hours worked the preceding month and will NOT appear as credits towards the student account or fee charges. |
What if I need aid to pay for costs other than fees? |
You will receive the balance of any remaining financial aid in a “refund” of account overages. You will receive your financial aid refund in a direct deposit to your bank account via electronic funds transfer. Direct deposits are usually available to you on the first day of each quarter. Visit Student Business Services to get more info on Direct Deposit application deadlines. |
What types of aid are available at UCR? |
There are two types of financial aid: gift-aid and self-help aid. Students may be awarded a financial aid package including a combination of these. Gift-aid includes grants and scholarships which do not have to be repaid or earned. Self-help aid includes loans, which must be repaid, and work-study funds, which must be earned. |
What is the difference between subsidized and unsubsidized loans? |
"Subsidized" means the federal government pays the interest on a borrower's loan while
the student is enrolled at least half-time and during grace periods and deferment
periods. Students must demonstrate financial need to qualify for subsidized loans
such as the federal Stafford and Perkins Loans. “Unsubsidized” means the federal government does not pay interest on the loan while the student is in school, during the grace period, or while in deferment. Interest is charged on the loan from the date on which it is disbursed until it is paid in full. The interest may be paid on a monthly basis, but borrowers usually allow it to accumulate, in which cas |


oXygen XML Editor User Manual
oXygen XML Author User Manual
oXygen XML Developer User Manual
The customization is available at https://github.com/oxygenxml/com.oxygenxml.pdf2.ug/


These are the best and the worst cities in the world to drive in
Calgary and Mumbai have respectively taken crown and wooden spoon in the Mister Auto 2019 Driving Cities Index, a data-driven ranking of 100 world cities according to life on their roads.
The index analysed 15 different metrics, including but not limited to… (*deep breath*) cars per capita, congestion score, road quality, average vehicle speed, average car age, air quality, fatality rates, incidents of road rage, and costs associated with parking, petrol, and tax.
You could be forgiven for thinking that every city is overflowing with dreadful driving, but some are at least worse than others. Here are the best and worst cities to drive in for 2019…
The best:
1. Calgary, Canada
It’s easy to resent Canadians – high quality of life, excellent healthcare, invariably pleasant personalities – and their chart-topping roads are just one more notch on the bedpost.
Calgary is the latest city to rub it in our faces, with high air quality and blissfully little traffic. And they manage wide-reaching car ownership and a low fatality rate while covering ground at higher speeds than anyone else.
2. Dubai, United Arab Emirates
Driving in Dubai rests on one word: infrastructure. A city at the very pinnacle of modernity, Dubai boasts superior road quality, low congestion, and the newest cars of anywhere on the list. Perhaps best of all, for motorists if not the planet, the oil-rich nation ranks behind only Lagos for petrol prices, and a litre will set you back just under 50p.
3. Ottawa, Canada
Canada again! A real road all-rounder, Ottawa ranks in the top ten for air quality and vehicle speed, and racks up creditable scores in almost every category. Clean and surprisingly affordable, it racks up all the figures you would expect from the Canadian city.
The worst…
1. Mumbai, India
Rock bottom for congestion, the clogged up thoroughfares of Mumbai host the lowest speeds and oldest cars of any city analysed, and rank in the top five for road rage and fatalities. Financially, drivers face more of a mixed bag. Mumbai gas stations serve up some of the least affordable petrol anywhere, offset only partially by the world’s cheapest parking.
2. Ulaanbaatar, Mongolia
A surprise entry for those unfamiliar with Mongolian driving, Ulaanbataar clocks in at second thanks partly its chart-topping propensity for road rage, narrowly edging out the motorists of Moscow.
 The Mongolian capital ranks in the bottom ten for congestion, air quality, road quality and fatality rate, alongside poor public transport and pricey parking.
3. Kolkata, India
We’re back in India for number three, and, when it comes to overcrowding, Kolkata’s reputation precedes it. Second only to Mumbai for road congestion, Kolkata manages to maintain the third highest fatality rate despite the third lowest average speed. All this, despite the second lowest rate of private car ownership on the list.


Juno <IP_ADDRESS> is a major update.
Core API updates
-
New support for {@link oaj.dto.atom ATOM}.
- New AtomFeedResource class added to sample war.
-
New
XmlFormat.CONTENT enum value.
Allows bean properties to be persisted as XML element text.
-
New
XmlContentHandlerclass and @Xml.contentHandlerannotation.
Allows customized serialization and parsing of beans to XML element text.
Added for support of ATOM text content that must support both plain text and embedded XHTML.
-
New {@link oaj.xml.annotation.XmlSchema @XmlSchema} and updated {@link oaj.xml.annotation.XmlNs @XmlNs} annotations to better mimic JAXB.
-
Removed @Xml.valAttr annotation since it's now redundant with @Xml(format=CONTENT).
-
Fixed timezone bug in
CalendarSwap.
-
Simplified Serializer.serialize(Object,Object,SerializerContext) method.
-
Fixed bug where lists returned by
ObjectMap.getObjectList(String)were not updatable.
-
Eliminated old RDF/XML serializer.
Documentation updates
- New {@link oaj.json JSON Support Overview} document.
- New {@link oaj.xml XML Support Overview} document.
- New
RDF Languages Support Overview document.
- New {@link oaj.dto.atom ATOM Support Overview} document.


Man gets probation in Delaware crash that killed New Jersey father, 4 daughters
by APTEANECK, New Jersey -- A Maryland man involved in a Delaware collision that killed five members of a New Jersey family has been sentenced to one year of probation.
Alvin Hubbard III of Cambridge was sentenced Friday. He pleaded guilty in June to five misdemeanor counts of operating a motor vehicle causing death and two misdemeanor counts of vehicular assault.
The judge gave the 46-year-old Hubbard the maximum combined sentence of 14 years but suspended the prison time for a year of probation. Prosecutors sought a six-month sentence.
Hubbard was initially charged with five counts of second-degree vehicular homicide, three counts of vehicular assault and other offenses.
Authorities said Hubbard operated his pickup truck in a criminally negligent manner when it crossed the median and was hit by the family's minivan in July 2018. A father and his four daughters died.


Cycling Links
Montana Cycling.org
The Official Website For Competitive Cycling in Montana
REGIONAL PAGES AND CALANDERS
British Columbia Cycling Association
North Shore Mountain Bike Association
PRO CYCLING NEWS AND MISC
REGIONAL TEAMS
Five Valley Velo - Missoula, MT
Montana Velo- Helena, MT
Baddlands Cycling Club- Spokane, WA
Lake Washington Velo- Seattle, WA
NORTHWEST RACES
Ecology Center Classic- Missoula, MT
OTHER REGIONAL GROUPS
Adventure Cycling- Missoula, MT
Strong Racing Frames- Bozeman, MT
Great Divide Cyclery in Helena
2000 Schedule | 2000 Results | MT Cup Standings| Club Contacts | Missoula Training| Bozeman Training| 1999 Archive | Links
|
Contact Us | On The Rivet- News From Our District Chairman ||


I have been smoking spice for over a year now regularly. I usually get Big Bang as so far I have noticed the strongest high and the best taste from the mango kind.
Now after having used these products everyday, multiple bowls a day I have yet to have ANY overbearing reactions or 'bad trips'. It does tend to give me a light headache, and sometime I catch myself grinding my jaw, definitely not recommended if you wear contacts, the reaction and dryness will cause severe watering and sometimes a light pain in the eyes. My wife and brother have both told me about separate occasions where smoking spice has caused adverse effects including my wife's inability to recognize the world round her, a severe change in her voice, and an inability to focus until I threw her in a cold shower. My brother complained of nausea, dizziness and a strong feeling of 'wrongness'. I personally have noticed an addictive quality to spice, as I have no addictions to anything else I can at times feel myself 'fiending' from spice, my wife as well. I would say spice like any drug should be tried carefully and with some hesitance.
[Reported Dose: 6-7 bowls a day constantly]
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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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
|---|---|
| _specification | [TODO: document me!] |
| _specification.Version | specification level |
| JavaSemantics<T> | [NOTE: This interface is not officially in spec but projected to be included in subject to further consideration.] [TODO: document me!] |
| JavaSemantics.RedisList<T> | |
| JavaSemantics.RedisMap<T> | |
| JavaSemantics.RedisSet<T> | |
| JRedis | Temp doc: |
| Query | Provides for specifying and chaining query predicates. |
| Sort | Sort, a type of Query , provides for specifying and chaining the query predicates. |
| Class Summary | |
|---|---|
| Encode | Note that this is the one element of this package that is most likely to change drastically. |
| SortSupport |
| Enum Summary | |
|---|---|
| Command | Redis commands, verbatim. |
| RedisInfo | [TODO: document me!] |
| RedisType |
| Exception Summary | |
|---|---|
| ClientRuntimeException | [TODO: document me!] - |
| CommandNotImplemented | [TODO: document me!] |
| NotSupportedException | Providers can throw this exception in response for requests for optional aspects of Redis Specification. |
| RedisException | [TODO: update doc regarding "extensions"] RedisExceptions are only created/raised subsequent to an error result from the redis server. |
| Annotation Types Summary | |
|---|---|
| Redis | Annotation to mark complaint elements of JRedis implementations. |
This package contains the constructs that define the Java API semantics of the JRedis clients. TODO: elaborate on the spec requirements.
|
||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


We really wanted to start something big. So we dug up into our minds and when we couldn't find anything we decided to take any problem we saw and try to fix it the only way we know how.
TO BUILD!
Try something and fail. And try again. There were many parts in there.
There was just a lot of cursing in this part so you probably shouldn't even read about it. The point is we did something here. It worked.
Granted we're still not on this step yet. But we can see it from afar. A little bit. Not really. Well you get. We'll maybe get an office. That would be cool...
iOS Developer and Professional Swear Word Sayer
Android Developer and Secret Crime Fighter
Backend Developer and Chief Mad Scientist
If you wish to be a part of the team, don't worry, we will eventually figure this out. Call us then.


Master de II. ULL. 1er cuatrimestre. 2020/2021
A tiny node.js debugging utility modelled after node core’s debugging technique.
Discussion around the V3 API is under way here
1
$ npm install debug
debug
exposes a function; simply pass this function the name of your module, and it will return a decorated version of console.error
for you to pass debug statements to. This will allow you to toggle the debug output for different parts of your module as well as the module as a whole.
Example app.js:
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var debug = require('debug')('http')
, http = require('http')
, name = 'My App';
// fake app
debug('booting %s', name);
http.createServer(function(req, res){
debug(req.method + ' ' + req.url);
res.end('hello\n');
}).listen(3000, function(){
debug('listening');
});
// fake worker of some kind
require('./worker');
Example worker.js:
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var debug = require('debug')('worker');
setInterval(function(){
debug('doing some work');
}, 1000);
The DEBUG environment variable is then used to enable these based on space or comma-delimited names. Here are some examples:
On Windows the environment variable is set using the set
command.
set DEBUG=*,-not_this
Note that PowerShell uses different syntax to set environment variables.
$env:DEBUG = "*,-not_this"
Then, run the program to be debugged as usual.
When actively developing an application it can be useful to see when the time spent between one debug()
call and the next. Suppose for example you invoke debug()
before requesting a resource, and after as well, the “+NNNms” will show you how much time was spent between calls.
When stdout is not a TTY, Date#toUTCString()
is used, making it more useful for logging the debug information as shown below:
If you’re using this in one or more of your libraries, you should use the name of your library so that developers may toggle debugging as desired without guessing names. If you have more than one debuggers you should prefix them with your library name and use “:” to separate features. For example “bodyParser” from Connect would then be “connect:bodyParser”.
The *
character may be used as a wildcard. Suppose for example your library has debuggers named “connect:bodyParser”, “connect:compress”, “connect:session”, instead of listing all three with DEBUG=connect:bodyParser,connect:compress,connect:session
, you may simply do DEBUG=connect:*
, or to run everything using this module simply use DEBUG=*
.
You can also exclude specific debuggers by prefixing them with a “-“ character. For example, DEBUG=*,-connect:*
would include all debuggers except those starting with “connect:”.
When running through Node.js, you can set a few environment variables that will change the behavior of the debug logging:
| Name | Purpose |
|---|---|
DEBUG |
Enables/disables specific debugging namespaces. |
DEBUG_COLORS |
Whether or not to use colors in the debug output. |
DEBUG_DEPTH |
Object inspection depth. |
DEBUG_SHOW_HIDDEN |
Shows hidden properties on inspected objects. |
Note: The environment variables beginning with DEBUG_
end up being
converted into an Options object that gets used with %o
/%O
formatters.
See the Node.js documentation for
util.inspect()
for the complete list.
Debug uses printf-style formatting. Below are the officially supported formatters:
| Formatter | Representation |
|---|---|
%O |
Pretty-print an Object on multiple lines. |
%o |
Pretty-print an Object all on a single line. |
%s |
String. |
%d |
Number (both integer and float). |
%j |
JSON. Replaced with the string ‘[Circular]’ if the argument contains circular references. |
%% |
Single percent sign (‘%’). This does not consume an argument. |
You can add custom formatters by extending the debug.formatters
object. For example, if you wanted to add support for rendering a Buffer as hex with %h
, you could do something like:
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const createDebug = require('debug')
createDebug.formatters.h = (v) => {
return v.toString('hex')
}
// …elsewhere
const debug = createDebug('foo')
debug('this is hex: %h', new Buffer('hello world'))
// foo this is hex: 68656c6c6f20776f726c6421 +0ms
You can build a browser-ready script using browserify, or just use the browserify-as-a-service build, if you don’t want to build it yourself.
Debug’s enable state is currently persisted by localStorage
.
Consider the situation shown below where you have worker:a
and worker:b
,
and wish to debug both. You can enable this using localStorage.debug
:
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localStorage.debug = 'worker:*'
And then refresh the page.
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a = debug('worker:a');
b = debug('worker:b');
setInterval(function(){
a('doing some work');
}, 1000);
setInterval(function(){
b('doing some work');
}, 1200);
Colors are also enabled on “Web Inspectors” that understand the %c
formatting
option. These are WebKit web inspectors, Firefox (since version
31)
and the Firebug plugin for Firefox (any version).
Colored output looks something like:
By default debug
will log to stderr, however this can be configured per-namespace by overriding the log
method:
Example stdout.js:
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var debug = require('debug');
var error = debug('app:error');
// by default stderr is used
error('goes to stderr!');
var log = debug('app:log');
// set this namespace to log via console.log
log.log = console.log.bind(console); // don't forget to bind to console!
log('goes to stdout');
error('still goes to stderr!');
// set all output to go via console.info
// overrides all per-namespace log settings
debug.log = console.info.bind(console);
error('now goes to stdout via console.info');
log('still goes to stdout, but via console.info now');
Support us with a monthly donation and help us continue our activities.  [Become a sponsor]
(The MIT License)
Copyright (c) 2014-2016 TJ Holowaychuk<EMAIL_ADDRESS>Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ‘Software’), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 8-10
Dietary
Previously I have always done no-bake cheesecakes. Partly due to laziness and partly because I was unsure of the taste. But I finally succumbed and this is a stunning cheesecake with so much rich, creamy flavour. I believe I am now a baked cheesecake expert!
Equipment and preparation: you will need a 23cm/9in springform cake tin.
Preheat the oven to 170C/325F/Gas 3 (150C fan).
To make the base, melt the butter in a medium saucepan over a low heat (or a bowl in the microwave). Line the base of a 23cm/9in springform cake tin with baking parchment, brushing a little of the melted butter on the base to help the paper stick. Break up the gingernut biscuits in a food processor to give fine crumbs. Mix well into the melted butter and then tip into the bottom of the prepared tin. Press the mixture well into the bottom so it is packed tight and level. Place in the fridge to set for 20 minutes or so while you get on with the filling.
For the filling, put the cream cheese, ricotta, cream, eggs, sugar, cornflour and vanilla seeds into a large bowl and beat like mad for a few minutes until everything is combined and smooth. An electric mixer fitted with the whisk attachment will make this easier than by hand. Once the biscuit base is set, remove the tin from the fridge and pour this mixture in on top.
Sit on a baking tray and pop into the oven for 40-45 minutes. The cheesecake should be just set with a little wobble. When it reaches this stage, turn off the oven and leave to cool in there for about an hour. This (usually) stops the cheesecake from cracking. Also avoid moving the cheesecake around at this stage to help prevent cracking. However, don’t worry if it does crack as it will still taste delicious and will be nicely decorated.
Once it has had an hour of cooling, remove the cheesecake from the oven. The cheesecake may still be a little bit warm, so you can either eat it like this or wait and eat it when it is completely cool. Arrange the berries and figs on top, dust with icing sugar and scatter over the mint leaves if using, and serve. The cheesecake will keep for a couple of days, covered in the fridge.


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Hi ! I would like to post a unary constraint x \in Y, x being an IntVar and Y an IntSet. I thought it existed, but I can't find it again in the documentation... Is it possible to do that ? Cheers, Jeremie Vautard


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Since Ruby is very dynamic, methods added to the ancestors of BlankSlate after BlankSlate is defined will show up in the list of available BlankSlate methods. We handle this by defining a hook in the Object and Kernel classes that will hide any method defined after BlankSlate has been loaded.
| method_added | -> | blank_slate_method_added |
Detect method additions to Kernel and remove them in the BlankSlate class.
# File vendor/rails/activesupport/lib/active_support/vendor/builder-2.1.2/blankslate.rb, line 65 65: def method_added(name) 66: result = blank_slate_method_added(name) 67: return result if self != Kernel 68: BlankSlate.hide(name) 69: result 70: end
# File vendor/rails/activesupport/lib/active_support/core_ext/kernel/debugger.rb, line 9 9: def breakpoint 10: RAILS_DEFAULT_LOGGER.info "\n***** The 'breakpoint' command has been renamed 'debugger' -- please change *****\n" 11: debugger 12: end
Turns the current script into a daemon process that detaches from the console. It can be shut down with a TERM signal.
# File vendor/rails/activesupport/lib/active_support/core_ext/kernel/daemonizing.rb, line 4 4: def daemonize 5: Process.daemon 6: end
Starts a debugging session if ruby-debug has been loaded (call script/server —debugger to do load it).
# File vendor/rails/activesupport/lib/active_support/core_ext/kernel/debugger.rb, line 4 4: def debugger 5: RAILS_DEFAULT_LOGGER.info "\n***** Debugger requested, but was not available: Start server with --debugger to enable *****\n" 6: end
Sets $VERBOSE to true for the duration of the block and back to its original value afterwards.
# File vendor/rails/activesupport/lib/active_support/core_ext/kernel/reporting.rb, line 17 17: def enable_warnings 18: old_verbose, $VERBOSE = $VERBOSE, true 19: yield 20: ensure 21: $VERBOSE = old_verbose 22: end
Require a library with fallback to RubyGems. Warnings during library loading are silenced to increase signal/noise for application warnings.
# File vendor/rails/activesupport/lib/active_support/core_ext/kernel/requires.rb, line 4 4: def require_library_or_gem(library_name) 5: silence_warnings do 6: begin 7: require library_name 8: rescue LoadError => cannot_require 9: # 1. Requiring the module is unsuccessful, maybe it's a gem and nobody required rubygems yet. Try. 10: begin 11: require 'rubygems' 12: rescue LoadError => rubygems_not_installed 13: raise cannot_require 14: end 15: # 2. Rubygems is installed and loaded. Try to load the library again 16: begin 17: require library_name 18: rescue LoadError => gem_not_installed 19: raise cannot_require 20: end 21: end 22: end 23: end
Silences any stream for the duration of the block.
silence_stream(STDOUT) do puts 'This will never be seen' end puts 'But this will'
# File vendor/rails/activesupport/lib/active_support/core_ext/kernel/reporting.rb, line 36 36: def silence_stream(stream) 37: old_stream = stream.dup 38: stream.reopen(RUBY_PLATFORM =~ /mswin/ ? 'NUL:' : '/dev/null') 39: stream.sync = true 40: yield 41: ensure 42: stream.reopen(old_stream) 43: end
Sets $VERBOSE to nil for the duration of the block and back to its original value afterwards.
silence_warnings do value = noisy_call # no warning voiced end noisy_call # warning voiced
# File vendor/rails/activesupport/lib/active_support/core_ext/kernel/reporting.rb, line 9 9: def silence_warnings 10: old_verbose, $VERBOSE = $VERBOSE, nil 11: yield 12: ensure 13: $VERBOSE = old_verbose 14: end
Blocks and ignores any exception passed as argument if raised within the block.
suppress(ZeroDivisionError) do 1/0 puts "This code is NOT reached" end puts "This code gets executed and nothing related to ZeroDivisionError was seen"
# File vendor/rails/activesupport/lib/active_support/core_ext/kernel/reporting.rb, line 53 53: def suppress(*exception_classes) 54: begin yield 55: rescue Exception => e 56: raise unless exception_classes.any? { |cls| e.kind_of?(cls) } 57: end 58: end


Cece Hooks wants to leave nothing on the table after her last season at Ohio.
After four seasons with the Bobcats, Hooks is a three-time Mid-American Conference Defensive Player of the Year and the 2020-21 MAC Player of the Year. She has proven herself as one of the best talents to ever take the court inside The Convo. Despite her accomplishments, Hooks believes her collegiate career is incomplete.
That’s why when she declared for the WNBA Draft in early April, she retracted her decision less than two weeks later.
Hooks considered returning around a week after her initial declaration. She had not only her own future in mind, but she was also thinking about the team she’d be leaving. She was certain the Bobcats were within reach of winning their first MAC championship since 2015 multiple times throughout her career, but there were obstacles — basketball and non-basketball related — standing in their way.
Ohio advanced to the 2020 MAC Tournament semifinals before the tournament was canceled due to the coronavirus pandemic. The Bobcats had what they needed to win, but their chance was stolen from them.
“I’m sorry to say this,” Hooks said. “But I feel like we would have won that year.”
Ohio’s 2020-21 season wasn’t spared from COVID-19 either. Ohio had to take extended breaks due to postponements and was forced to play multiple opponents without some of its coaches. The Bobcats also had to deal with these issues while playing in front of smaller crowds, with less staff on the sidelines and constantly needing to keep up with COVID-19 protocols.
Ohio did qualify for the MAC Tournament in 2021, but lost to Central Michigan in the semifinals. It later accepted an invitation to the Women’s National Invitation Tournament, but lost to UMass in the second round of the consolation bracket. After two disappointing tournaments, Hooks was left without a championship or a sense of satisfaction.
“We didn’t have the season that we wanted last year,” Hooks said.
Hooks’ career at Ohio could have ended right then and there. She might have left Ohio as one of its best players in program history but without a MAC title to her name.
But she elected to stay.
The decision to return wasn’t easy for Hooks. She consulted those close to her including her brother, her boyfriend and Ohio coach Bob Boldon while weighing her options. Some wanted her to at least put her name out there for potential scouts. As big of a name as Hooks was, she wanted to give pro teams better tape to look at.
“I sat down with my brother, and we had a talk,” Hooks said. “He wanted me to go, but I told him I feel like it would be better for me personally to come back and develop more.”
When Hooks talked to WNBA scouts, she realized that she still needed to develop herself. She wasn’t sure if she’d be able to handle herself against seasoned WNBA players, and her trouble with fouls might become a liability.
These doubts burned inside Hooks and were what convinced her to opt out of the WNBA draft and return to Ohio for her fifth and final season. She isn’t just returning for her own future, either. She’s returning for Ohio’s future.
Hooks, who was allowed a fifth season due to the NCAA’s COVID-19 eligibility rules, wants to see improvement from both herself and the Bobcats this season. That starts with her stepping up as a leader.
“I feel like I can improve on my attitude, being a better leader,” Hooks said. “I feel like that had a big lump in my season last year. When I would not do good, I’d get down on myself and it’d affect my team. A lot of my teammates look up to me, so I want to be a better example for them this year.”
Hooks wants the rest of the Bobcats to be able to take criticism from other players so that when the team gets down, they don’t just give up. To her, the inability to handle harsh truths necessary for improvement has held Ohio back in the past, so she’s taking it upon herself to fix that.
She wants to be able to lead everyone equally, and that can sometimes mean becoming a little more aggressive with her teammates. Hooks pushes the Bobcats because she wants them to give their all in every game.
If Hooks can improve both herself and the Bobcats, she’ll be able to walk away after this season without any regrets.


Deontay Wilder explains difference between himself and Anthony Joshua
Joshua lost his three heavyweight world titles to Andy Ruiz Jr in June - but rival Wilder remains champion
by Martin Domin, https://www.facebook.com/mirrorfightingDeontay Wilder has claimed Anthony Joshua's mindset cost him his heavyweight world titles.
The Brit lost his three belts to Andy Ruiz Jr in one of the sport's biggest upsets in New York in June.
Wilder, meanwhile, retained his by knocking out Dominic Breazeale inside a round and returns to action on Saturday week in his rematch with Luis Ortiz.
And he explained why he believes he still reigns while Joshua must win back his crown.
"Me and Joshua have a different mindset. Mine is strong, way stronger than his," Wilder told Sky Sports .
"Joshua knew he would lose one day," Wilder said. "When it was time he handed his belts over to Ruiz Jr - he literally transferred the belts to this man.
"For me? My mindset is different. I'm a totally different king, a totally different beast.
"I am the best in the world and I prove it each time I go in the ring.
"I'm not worried about making mistakes and, if I do, rest assured I will correct it as the fight goes on.
"I'm fighting for one champion, one face, one name - the [undisputed] champion. Nobody will get in my way, nobody."
Wilder has fought 42 times as a professional - but plans to fight on for six years.
“Six years is my max that I’m planning to finish my career,” he said.
“In the beginning of my career, we had a plan of things to move forward with.
"I can’t say things went exactly as planned. In life, things don’t go as planned. It’s a great to be with a group of guys that have my best interest at heart.
"The people who were planning the beginning of my career are planning the ending as well. I think the ending is going to be a little bit sweeter than the beginning.
"In the beginning you have a long task ahead of you and you don’t know where the roads will lead. I did the best I can in the heavyweight division. I brought a lot of excitement. I bring a lot of drama."


NOTE: this example will POST an 'email' property along with 'password' to the endpoint. Default Passport setup will check for 'username', not 'email', in the body, so update the data in the POST requests to match your server setup if necessary.
Sends a POST with email and password fields
Sends a POST with email and password fields
Sends a GET with no payload


Sorry! Looks like the page you requested for could not be found. We can fix this!
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The last three or four reps are what make muscle grow. This area of pain divides a champion from someone who is not a champion.
Arnold Schwarzenegger lifefitness.com 2020 Fitness


[film] "Demons 2" A Postview, copyright 1997 p-m agapow
Astonishly bad Italian horror flick in which a demonic infection spreads through the colourless inhabitants of an apartment block, causing them to underact, accquire poorly dubbed "Epic Theatre" voices and kill each other.
A definite "so bad it's good" movie, "Demons 2" is reminiscent of Frankenstein. The monster, not the movie that is, because it looks like it was stitched together from the remains of several dead productions and allowed to shamble about the soundstage for an hour and a half. Unfortunately "Demons 2" does not kill its creator and then get lost in the Artic, but you can't have everything. Scarily enough, this effort may actually have been assembled as a whole.
The prequel "Demons", for those who haven't seen it (and let's face it, who has?) concerns a film premiere at which the audience are transformed one-by-one into demons and kill each other. For this sequel, the action takes place instead in a (quelle surprise) condo. Common characters? None. Plot connections? None? Acting? None.
You have to give the director (who is the sole common link) some credit, because he has sucessfully shot a film in which no character's name can be remembered. Nada. You end up referring to them in elliptical ways. ("What happened to the black guy who looked like he was going to get eaten?" "He got eaten." "Oh.") However, he does have a talent for surreal plot twists. Ten minutes into the film, a group of partgoers usher their nerdish friend outside to deflect the crazy "Gerald" (maybe), who is going to crash their party.
Cue nerd waiting on street corner. Cue shots of Gerald driving at high speeds through town, laughing maniacally. ("Gerald, you're going too fast!" "Hahaha, I can handle it baby!") Cue first apartment dwelvers being torn apart by demons ... Nerd waits on street corner, looks left and right. Gerald laughs. The victims are trapped in the garage, ramming cars into the closed exit doors. Gerald shrugs off a request to slow down. Nerd waits. People get eaten. Gerald speeds. Repeat for next 80 minutes.
Finally, at the film's end, everyone is dead and the nerd is still waiting. He turns, gapes. In a screech of rubber, Gerald arrives, rolls and crashes his car and dies. The end. (Wipes tear from eye.) Ah, they don't make them like that anymore. Hell, they're not allowed to.
Did I say that was the end? Well, a man and a pregnant woman do manage to escape into an empty TV studio (perhaps in hope of starring in something else) and before you can say "Piero Pasolino", they're re-enacting the birth of Christ. It _is_ an Italian film. Guess the Romans are a little tense about mucking up the last divine birth, so they want to be sure not to miss the next one.
Hideous, but deliriously so. [0/bomb] and rap accordion on the Sid and Nancy scale. 3 Lamberts on the bad movie scale.
"Demons 2" Directed by Lamberto Bava. Starring David Knight, Nancy Brilly, Coralini Cataldi Tassoni, Asia Argento. Released 1987.
------ paul-michael agapow (agapow@latcs1.oz.au), La Trobe Uni, Infocalypse "There is no adventure, there is no romance, there is only trouble and desire." [archived at http://www.cs.latrobe.edu.au/~agapow/Postviews/]
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Selo Store / MNMA studio
- Curated by Matheus Pereira
- about 19 hours
- version="1.0" encoding="UTF-8"? Architects: MNMA studio
- AreaArea of this architecture projectArea: 100.0 m2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2019
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: André Klotz
Text description provided by the architects. The 100 sq m retail restoration project for Selo brand of handmade shoes inspired MNMA studio to create a kind of brief escapism atmosphere.The studio's core process of developing ideas from outside to inside and the pursuit of a fluid circulation led to the final layout and the sidewalk alignment as a continuum, so to offer seamless accessibility for all.
There was a desire to create a visually clear façade as an attitude of contrast for the chaotic city of São Paulo. The choice of cement slates and frameless glass reflects the urbanity but in order to achieve some lightness it was pigmented to detach from its surroundings. During the process of curation of materials and along the building development, as some natural shattering occurred on the floor because of expansion of materials, it was decided to adopt a sort of Kintsugi technique of filling the cracks with a special golden mixture so to honor the fact.
The toilet sink is also a handmade process of "curving" a limestone and applying flames to it, so to create a very particular rough texture. The occasional furniture is composed of 50's original examples.Inside, the atrium was remodelled to deliver a rounded skylight with a clear view of the sky, not only for illumination, but also for a playful contact with nature, weather, the passage of time and to have some human scale perspective, reminding us that we share the same sky. It is inspired and celebrates some works of artist James Turrell.


|
YT Music Uploader
Upload your music library automatically to YouTube Music.
|
Music library file and status More...
Public Member Functions | |
| MusicFile () | |
| Music library file and status More... | |
| MusicFile (string path, string hash) | |
| Music library file and status More... | |
| MusicFile (string path) | |
| Music library file and status More... | |
| override DbOperationResult | Save () |
| Insert or update the database More... | |
| override DbOperationResult | Delete () |
| Delete from the database (for MusicFiles, it typically set the flag of 'Removed' but doesn't actually delete from the database. This is so the file (using a checksum hash) can be compared with others to identify an already uploaded file if the files music to a different path More... | |
| DbOperationResult | Delete (bool destroy) |
| Delete from the database. More... | |
Properties | |
| string | Path [get, set] |
| string | MbId [get, set] |
| string | Hash [get, set] |
| DateTime | LastUpload [get, set] |
| bool? | Error [get, set] |
| string | ErrorReason [get, set] |
| bool? | Removed = null [get, set] |
| Properties inherited from YTMusicUploader.Providers.Models.DbModels | |
| int | Id = -1 [get, set] |
| Properties inherited from YTMusicUploader.Providers.Models.IDbModel | |
| int | Id [get, set] |
Music library file and status
| YTMusicUploader.Providers.Models.MusicFile.MusicFile | ( | ) |
Music library file and status
| YTMusicUploader.Providers.Models.MusicFile.MusicFile | ( | string | path, |
| string | hash | ||
| ) |
Music library file and status
| YTMusicUploader.Providers.Models.MusicFile.MusicFile | ( | string | path | ) |
Music library file and status
|
virtual |
Delete from the database (for MusicFiles, it typically set the flag of 'Removed' but doesn't actually delete from the database. This is so the file (using a checksum hash) can be compared with others to identify an already uploaded file if the files music to a different path
the entry from the database
Implements YTMusicUploader.Providers.Models.DbModels.
| DbOperationResult YTMusicUploader.Providers.Models.MusicFile.Delete | ( | bool | destroy | ) |
Delete from the database.
| destroy | False (default) just sets the flag to 'remove'. True (destroy) actually removes the entry from the database |
|
virtual |
Insert or update the database
Implements YTMusicUploader.Providers.Models.DbModels.
|
getset |
|
getset |
|
getset |
|
getset |
|
getset |
|
getset |
|
getset |


NEWS.md
Major changes
New function accessibility()
to calculate access to opportunities. Closes #169
New function find_snap()
to help the used identify where in the street network the input of origin and destination points are snapped to. Closes 168.
New parameter max_bike_dist
added to routing and accessibility functions. Closes #174
Implemented temporary solution for elevation. Closes #171. Now r5r can read Digital Elevation Model (DEM) data from raster files in .tif
format to weight the street network for walking and cycling according to the terrain’s slopes. Ideally, we would like to see a solution that accounts for elevation implemented upstream in R5. For now, this is a temporary solution implemented within r5r.
Minor changes
The street_network_to_sf()
now has a more clean output when the provided GTFS covers a larger area than the street network pbf. Closes #173
The size of poa.zip sample GTFS data has been reduced due to CRAN policies. Closes #172.
Progress counter implmenented. Closes 150. When the verbose
parameter is set to FALSE
, r5r prints a progress counter and eventual ERROR
messages. This comes with a minor penalty for computation performance. Hence we have kept verbose
defautls to TRUE
.
Bug fixes
Major changes
max_lts
parameter to detailed_itineraries()
and travel_time_matrix()
functions. LTS stands for Level of Traffic Stress, and allows modeling of bicycle comfort in routing analysis. Additional information can be found in Conveyal’s documentation as well as blog posts 1 and 2. Closes #160
Minor changes
check_connection()
to check internect connection before download files from Ipea server.Major changes
detailed_itineraries()
when shortest_path = TRUE
. Closes #153.Minor changes
travel_time_matrix()
and detailed_itineraries()
now output more detailed messages in the console, when verbose = TRUE
. This shall make debugging the package much easier.travel_time_matrix()
. Closes #149.id
column. Closes #154.Bug fixes
departure_datetime
in detailed_itineraries()
and travel_time_matrix()
. Closes #147. Bug fixes
detailed_itineraries()
that caused a crash when the shape of a route in the input GTFS is broken. Closes #145
Minor changes
Minor changes
mode_egress
to routing functions, so that users can explicitly set the transport mode used after egress from public transport (walk, car or bicycle). Closed #63.setup_r5()
before.Major changes
Minor changes
percentiles
parameter in the travel_time_matrix
function now only accepts up to 5 cut points due to changes in R5.Minor changes
travel_matrix_function
when the user sets time_window
parameter. Closes #127.detailed_itineraries
Major changes
travel_time_matrix
now has new parameters time_window
and percentiles
it now calculates travel times for multiple departure times each minute within a given time window. For now, the function automatically set the number of Monte Carlo Draws to 5 times the size of time_window
. Closes #104 and #118Minor changes
Minor changes


 The plugin can use a pre-installed version of ZAP when given the path to the ZAP installation. Alternatively, it can automatically download and build a version of ZAP to be used by your security tests.
Plugin Information |
|---|
View OWASP ZAP on the plugin site for more information. |
Release Notes
Version 1.0.7
- Adds support for configurable ZAP source checkout directory during automated ZAP build.
- Zapper now maintains a clone of the latest (at the time of Zapper release) OWASP ZAP trunk on GitHub. This clone is tested and guaranteed to build successfully. This is necessary because the current trunk may not actually build. Of course the ZAP repository to use by Zapper is settable, and can be set to the official trunk or any branch or release from the official OWASP ZAP repository.
Version 1.0.0
Initial release.


Inference
Inference Model is a package in Analytics Zoo aiming to provide high-level APIs to speed-up development. It allows user to conveniently use pre-trained models from Analytics Zoo, Caffe, Tensorflow and OpenVINO Intermediate Representation(IR). Inference Model provides Java, Scala and Python interfaces.
Highlights
- Easy-to-use APIs for loading and prediction with deep learning models of Analytics Zoo, Caffe, Tensorflow and OpenVINO Intermediate Representation(IR).
- Support transformation of various input data type, thus supporting future prediction tasks.
- Transparently support the OpenVINO toolkit, which deliver a significant boost for inference speed (up to 19.9x).
Basic usage of Inference Model:
- Directly use InferenceModel or write a subclass extends
InferenceModel
(AbstractInferenceModel
in Java). - Load pre-trained models with corresponding
load
methods, e.g,doLoadBigDL
for Analytics Zoo, anddoLoadTensorflow
for TensorFlow. - Do prediction with
predict
method.
OpenVINO requirements:
Ubuntu 16.04.3 LTS or higher (64 bit)
CentOS 7.6 or higher (64 bit)
macOS 10.14 or higher (64 bit)
Python requirements:
tensorflow>=1.2.0,<2.0.0
networkx>=1.11
numpy>=1.12.0
defusedxml>=0.5.0
test-generator>=0.1.1
Supported models:
Load pre-trained model
Load pre-trained Analytics Zoo model
Load Analytics Zoo model with corresponding load
methods (load
for Java and Python, doLoad
for Scala).
Java
public class ExtendedInferenceModel extends AbstractInferenceModel {
}
ExtendedInferenceModel model = new ExtendedInferenceModel();
model.loadBigDL(modelPath, weightPath);
Scala
val model = new InferenceModel()
model.doLoadBigDL(modelPath, weightPath)
Python
model = InferenceModel()
model.load_bigdl(modelPath, weightPath)
modelPath
: String. Path of pre-trained model.weightPath
: String. Path of pre-trained model weight. Default isnull
.
Load pre-trained Caffe model
Load Caffe model with loadCaffe
methods (loadCaffe
for Java, doLoadCaffe
for Scala and load_caffe
Python).
Java
public class ExtendedInferenceModel extends AbstractInferenceModel {
}
ExtendedInferenceModel model = new ExtendedInferenceModel();
model.loadCaffe(modelPath, weightPath);
Scala
val model = new InferenceModel()
model.doLoadCaffe(modelPath, weightPath)
Python
model = InferenceModel()
model.load_caffe(modelPath, weightPath)
modelPath
: String. Path of pre-trained model.weightPath
: String. Path of pre-trained model weight.
Load pre-trained TensorFlow model
Load model into TFNet
with corresponding loadTensorflow
methods (loadTensorflow
for Java, doLoadTensorflow
for Scala and load_tensorflow
for Python)
We provide loadTensorflow
with the following parameters:
modelPath
: String. Path of pre-trained model.modelType
: String. Type of pre-trained model file.Inputs
: Array[String]. The inputs of the model.Outputs
: Array[String]. The outputs of the model.intraOpParallelismThreads
: Int. The number of intraOpParallelismThreads.interOpParallelismThreads
: Int. The number of interOpParallelismThreads.usePerSessionThreads
: Boolean. Whether to perSessionThreads
Note that we prepare several implementations with less parameters based on this method, e.g., loadTensorflow(modelPath, modelType)
for frozenModel.
Java
public class ExtendedInferenceModel extends AbstractInferenceModel {
}
ExtendedInferenceModel model = new ExtendedInferenceModel();
model.loadTensorflow(modelPath, modelType);
Scala
val model = new InferenceModel()
model.doLoadTensorflow(modelPath, modelType)
Python
model = InferenceModel()
model.load_tensorflow(modelPath, modelType)
Load OpenVINO model
Load OpenVINO model with loadOpenVINO
methods (loadOpenVINO
for Java, doLoadOpenVINO
for Scala and load_openvino
Python).
Java
public class ExtendedInferenceModel extends AbstractInferenceModel {
}
ExtendedInferenceModel model = new ExtendedInferenceModel();
model.loadOpenVINO(modelPath, weightPath);
Scala
val model = new InferenceModel()
model.doLoadOpenVINO(modelPath, weightPath)
Python
model = InferenceModel()
model.load_openvino(modelPath, weightPath)
modelPath
: String. Path of pre-trained OpenVINO model.weightPath
: String. Path of pre-trained OpenVINO model weight.
Predict with loaded model
After loading pre-trained models with load methods, we can make prediction with unified predict
method.
predictInput
: JList[JList[JTensor]] or Tensor for Scale and Java, Numpy for Python. Input data for prediction. JTensor is a 1D List, with Array[Int] shape.predictOutput
: JList[JList[JTensor]] or Tensor for Scale and Java, Numpy for Python. Prediction result.
Do prediction with predict
methods (predict
for Java and Python, doPredict
for Scala).
Java
List<List<JTensor>> predictOutput = model.predict(predictInput);
Scala
val predictOutput = model.doPredict(predictInput)
Python
predict_output = model.predict(predict_input)


{% block meta_block %} {% include "templates/includes/meta_block.html" %} {% endblock %}
Get in touch! (010) 3346-4461 |<EMAIL_ADDRESS>To check our menu click here.


MkDocs
Project documentation with Markdown.
MkDocs is a fast, simple and downright gorgeous static site generator that’s geared towards building project documentation. Documentation source files are written in Markdown, and configured with a single YAML configuration file. Start by reading the introductory tutorial, then check the User Guide for more information.
Features
Great themes available
There's a stack of good looking themes available for MkDocs. Choose between the built in themes: mkdocs and readthedocs, select one of the third-party themes listed on the MkDocs Themes wiki page, or build your own.
Easy to customize
Get your project documentation looking just the way you want it by customizing your theme and/or installing some plugins. Modify Markdown's behavior with Markdown extensions. Many configuration options are available.
Preview your site as you work
The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.
Host anywhere
MkDocs builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose.


{% extends 'base.html' %} {% block content %}
Members may have a members box which have a fixed, assigned, place. Unlike long-storage items - these are not time limited for members.
[Add or Record] a box/slot that is not yet in this overview.
{% if yours %}| {{ item.extra_info }} | [change] [delete] |
The contents of the two main member cabinets along the long wall (on your left as you come in).
{% for cabinet,contents in boxes.items %}
| {% if item %} {% else %} free {% endif %} | {% endfor %}
In a few exceptional cases - there is permission for a member to store things outside his or her box.
| owner | location | |
|---|---|---|
| {{ item.owner }} | {{ item.extra_info }} |


- Quick Learner
- Problem Solver
- Initiator
- Introvert
- Team Player
JAVA, C/C++, PHP, UNIX
Perl, J2EE, Python, Javascript, JQuery, CSS, HTML5, XML, MySQL, BSD
C#, VC++, J2ME, PosgreSQL, MSSQL, XQuery, SOAP, AJAX, TCL, Multi threaded programming, Erlang, Ruby
Optimization, Computer Networks, Algorithms, Web development, Mobile app development, Facebook app development, Linux module development, Linux Administration, Application Profiling


--- title: Tutorial - Model Assisted Combichem keywords: fastai sidebar: home_sidebar summary: "Tutorial on model assisted combichem" description: "Tutorial on model assisted combichem" nb_path: "nbs/tutorials/tutorials.model_combichem.ipynb" ---
This tutorial shows how to use combichem in conjunction with a generative model
Parts of this notebook aare CPU-constrained. If you have a multi-core machine, it is recommended that you uncomment and run the set_global_pool
cells in the notebook. This will trigger the use of multiprocessing, which will result in 2-4x speedups.
This notebook may run slow on Collab due to CPU limitations.
If running on Collab, remember to change the runtime to GPU
import sys
sys.path.append('..')
from mrl.imports import *
from mrl.core import *
from mrl.chem import *
from mrl.templates.all import *
from mrl.torch_imports import *
from mrl.torch_core import *
from mrl.layers import *
from mrl.dataloaders import *
from mrl.train.reward import Reward
from mrl.train.agent import PredictiveAgent
from mrl.model_zoo import *
from mrl.combichem import *
Model-assisted combichem involves using a generative model in conjunction with a combichem process to optimize some score function.
Standard combichem consists of the following steps:
For more details on library generation, see the Combichem Tutorial.
Model-assisted combichem incorporates a generative model into the combichem workflow:
We use the generative model to add compounds to the library. After scoring and pruning, we train the generative model on high scoring compounds
smarts = ['[#6](=[#16])(-[#7])-[#7]',
'[#6]=[#6]=[#6]',
'[#7][F,Cl,Br,I]',
'[*]#[Cl,Br]',
'[#6;!R]=[#6;!R]-[#6;!R]=[#6;!R]',
'[#6]#[#6]',
'[#15]',
'[#16]',
'[*]=[#17,#9,#35]',
'[*]=[*]=[*]',
'[*]-[#6]=[#6H2]',
'[#7]~[#8]',
'[#7]~[#7]',
'[*;R]=[*;!R]']
template = Template([ValidityFilter(),
SingleCompoundFilter(),
RotBondFilter(None, 8),
HeteroatomFilter(None, 8),
ChargeFilter(None, 0),
MaxRingFilter(None, 6),
MinRingFilter(5, None),
HBDFilter(None, 5),
HBAFilter(None, 10),
MolWtFilter(None, 500),
LogPFilter(None, 5),
SAFilter(None, 7),
BridgeheadFilter(None,0),
PAINSAFilter(),
ExclusionFilter(smarts, criteria='any'),
RotChainFilter(None, 7),
ChargeFilter(0,0),
RingFilter(None, 4)
],
[],
fail_score=-1., log=False, use_lookup=False)
class FP_Regression_Score():
def __init__(self, fname):
self.model = torch.load(fname)
self.fp_function = partial(failsafe_fp, fp_function=ECFP6)
def __call__(self, samples):
mols = to_mols(samples)
fps = maybe_parallel(self.fp_function, mols)
fps = [fp_to_array(i) for i in fps]
x_vals = np.stack(fps)
preds = self.model.predict(x_vals)
return preds
# if in the repo
reward_function = FP_Regression_Score('../files/erbB1_regression.sklearn')
# if in Collab
# download_files()
# reward_function = FP_Regression_Score('files/erbB1_regression.sklearn')
reward = Reward(reward_function, weight=1.)
mutators = [
ChangeAtom(['6', '7', '8', '9', '17', '35']),
AppendAtomSingle(['C', 'N', 'O', 'F', 'Cl', 'Br']),
AppendAtomsDouble(['C', 'N', 'O']),
AppendAtomsTriple(),
DeleteAtom(),
ChangeBond(),
InsertAtomSingle(['C', 'N', 'O']),
InsertAtomDouble(['C', 'N']),
InsertAtomTriple(),
AddRing(),
ShuffleNitrogen(20)
]
mc = MutatorCollection(mutators)
crossovers = [FragmentCrossover()]
cbc = CombiChem(mc, crossovers, template=template, rewards=[reward],
prune_percentile=70, max_library_size=400, log=True, p_explore=0.2)
agent = LSTM_LM_Small_ZINC_NC(drop_scale=0.3)
def step(cbc, agent, n_gen, sl):
new_library = cbc.build_generation()
new_library = cbc.clean_library(new_library)
cbc.append_data(new_library)
preds, _ = agent.model.sample_no_grad(n_gen, sl)
smiles = agent.reconstruct(preds)
cbc.append_data(smiles)
cbc.score_library()
cbc.prune_library()
def train_from_cbc(cbc, agent, ds_size, epochs, bs, lr):
df = pd.concat([cbc.library, cbc.old_library])
subset = df.iloc[df.score.nlargest(ds_size).index]
agent.update_dataset_from_inputs(subset.smiles.values)
agent.train_supervised(bs, epochs, lr, silent=True)
for i in range(5):
for j in range(5):
step(cbc, agent, 1024, 90)
train_from_cbc(cbc, agent, 6000, 3, 128, 1e-4)
print(cbc.library.score.mean())


A homebrewing club that is based in Westmoreland County, Pennsylvania.
Who we are…
The Westmoreland Area Zymology Enthusiasts (WAZE) is a homebrew club that is based out of Westmoreland County in Pennsylvania. No membership required, just attend a meeting and you’re in!
Next Meeting
Our next meeting is at Yellow Bridge Brewing on April 10th at 7PM. Come a little early to enjoy the fine beverages Yellow Bridge has to offer. Bring your homebrew for tastings and feedback!
Register for our upcoming competition!
Our 2019 Fizzy Yellow Beer Cup is approaching quick.  You can also sign up to volunteer as a judge or a steward.
Buy a shirt!
We have shirts available here.
Contact us
You can email us for more information or go to our Facebook page.
Subscribe to our mailing list
Want to get updates on meetings, events, or anything else? Enter your email below to be added to our mailing list.


Almaguin Campground - Reservation
Accomodation
RV
Tent
Cabin/Lodging
Name
Mr
Ms
Mrs
Miss
Dr
Guests
Contact
Checkin
Checkout
Equipment type
Travel trailer
Fifth wheel
RV/Motorhome
Tent trailer
Pickup camper
Camper van
Slide-outs
Required Service
Hydro
Water
Sewer
Pets
Comments
Request Reservation
Cancel


We think you might be interested in one of these flights...
Flight 1
$
800
round trip
Budapest
- Lufthansa
- Depart July 30, 2015
- Return August 5, 2015
Flight 2
- Alaskan Airlines
- Depart May 8, 2015
- Return August 9, 2015
Flight 3
$
425
round trip
Buenos Aires
- United Airlines
- Depart June 5, 2015
- Return July 19, 2015


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The QCard component is a great way to display important pieces of grouped content.
This pattern is quickly emerging as a core design pattern for Apps, website previews and email content.
It assists the viewer by containing and organizing information, while also setting up predictable expectations.
With so much content to display at once, and often so little screen real-estate,
Cards have fast become the design pattern of choice for many companies, including the likes of Google and Twitter.
The QCard component is intentionally lightweight and essentially a containing element that is capable of “hosting”
any other component that is appropriate.
Cancel
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“Aniccāni gahakāni,
tattha tattha punappunaṁ;
Gahakāraṁ gavesanto,
dukkhā jāti punappunaṁ.
Houses are impermanent—
on and on, life after life.
I’ve been searching for the house-builder—
painful is birth again and again.
Gahakāraka diṭṭhosi,
puna gehaṁ na kāhasi;
Sabbā te phāsukā bhaggā,
thūṇikā ca vidālitā;
Vimariyādikataṁ cittaṁ,
idheva vidhamissatī”ti.
… Sivako thero ….
I’ve seen you, house-builder!
You won’t build a house again.
Your rafters are all broken,
your ridgepole is shattered.
My mind is released from limits:
in this very life it will dissipate.


Write an efficient program to find the sum of contiguous subarray within a one-dimensional array of numbers which has the largest sum.
Example Input
-2 1 -3 4 -1 2 1 -5 4
Answer Would be
4 -1 2 1
Solution:
Kadane’s Algorithm:
--------------------------
Initialize:
max_so_far = 0
max_ending_here = 0
Loop for each element of the array
(a) max_ending_here = max_ending_here + a[i]
(b) if(max_ending_here < 0)
max_ending_here = 0
(c) if(max_so_far < max_ending_here)
max_so_far = max_ending_here
return max_so_far
--------------------------
Explanation:
Simple idea of the Kadane’s algorithm is to look for all positive contiguous segments of the array (max_ending_here is used for this). And keep track of maximum sum contiguous segment among all positive segments (max_so_far is used for this). Each time we get a positive sum compare it with max_so_far and update max_so_far if it is greater than max_so_far.
Lets take the example:
{-2, -3, 4, -1, -2, 1, 5, -3}
max_so_far = max_ending_here = 0
for i=0, a[0] = -2
max_ending_here = max_ending_here + (-2)
Set max_ending_here = 0 because max_ending_here < 0
for i=1, a[1] = -3
max_ending_here = max_ending_here + (-3)
Set max_ending_here = 0 because max_ending_here < 0
for i=2, a[2] = 4
max_ending_here = max_ending_here + (4)
max_ending_here = 4
max_so_far is updated to 4 because max_ending_here greater
than max_so_far which was 0 till now
for i=3, a[3] = -1
max_ending_here = max_ending_here + (-1)
max_ending_here = 3
for i=4, a[4] = -2
max_ending_here = max_ending_here + (-2)
max_ending_here = 1
for i=5, a[5] = 1
max_ending_here = max_ending_here + (1)
max_ending_here = 2
for i=6, a[6] = 5
max_ending_here = max_ending_here + (5)
max_ending_here = 7
max_so_far is updated to 7 because max_ending_here is
greater than max_so_far
for i=7, a[7] = -3
max_ending_here = max_ending_here + (-3)
max_ending_here = 4


Predicting Box OfficeMovie Sales
Prediction: How much revenue will a particular movie gross in sales?The entertainment industry is a lucrative sector. In particular, the film industry is responsible for providing accessible and affordable entertainment to viewers. Determining which factors contribute to the success of a movie is important to its investors and to the entertainment industry as a whole. While some movies generate billions of dollars in box office sales, others lack in viewership and movie profits.
Thus, our group is interested in examining the features and characteristics that make a movie successful. Such features and characteristics include examining the movies’ genre, its release date, actors/actresses, the directors, critic responses/reviews about the movie, producers, the movie studio and the success rate of a movie’s franchise. To predict how a particular movie will gross in sales, we will analyze previous performance of movies and develop a model to forecast a movie’s revenue.


MASA is an acronym for 'Multiplexed Acoustical Systems of America', the fictional
organ manufacture in Philip K Dicks We Can Build You. With their market for organs
drying up MASA diversified into the manufacture of Abraham Lincoln simulacrum…
MASA is an organ loosely based on the
Hammond B3.
The tone consist of 9 sine wave partials
each with a possible 8 amplitude values.
By default MASA uses the same frequency gamut as the B3.
Actually not quite. The B3 partials were tuned to equal tempered instead
of just ratios. The 2nd MASA partial is
at 1.5 while with the B3 it is closer to 1.498.
For technical reasons there were a few other harmonic deviations in the
upper registers.
Unlike the fixed frequency gamut of the B3, MASA partials may be tuned to any value. The bottom three rows
of editor buttons are used to set partial frequencies. The 9 "F Edit" buttons allow the frequency of each partial
to be set individually. The row of 4 buttons below this set various preset gamuts. Buttons on the final row
randomize the frequencies in various ways.
The scanner is an attempt to emulate the unique "post vibrato" scanner device of the Hammond. It consist of 8 delays in series which are selected or "scanned" in a cyclical manner. To even out the abrupt jump at the end of a scanning cycle opposing delay outputs are cross-wired.


My triggers in programming are when someone's code was too messy or introduced no brainer bugs into a working code. I took pride in highly organized and quality code. I get upset when my teammate wrote a messy code in the place that we share editing. I will usually feeling very angry when a lenghty and tiring session of debugging lead me to the discovery that the cause was due to silly code. This will surely make me curse bad words.
Siberian North Railroad is really a practical technique. I agree with the author that 'Stop' is the most important of all steps. As long as I could 'Stop', even just for a second or two of not feeding the emotion monster, I would have enough time to process my emotion and retain my control. When negative emotion is triggered, my tendency is to burst it out to feel better. Well, the bursting seems like an easy way to release the negative feeling inside me. But, it is not a wise move. What caused me feeling anger, may be was just due to my misunderstanding or lack of empathy. While my emotion is quickly seeking for instant justice, I should pause to question back myself, "Is exploding really a best way to solve this?". Usually, pausing won't be possible, because the timeframe from triggering to emotional response is very short. It looks like Siberian North Railroad is the best solution to make the impossible becomes possible.


--- layout: default --- {% include navigation.html active="about" %} {% assign strings = site.data.strings[page.lang] %}


| Rule Violations |
Count |
| Clearance Constraint (Gap=0.2mm) (InPolygon),(All) |
0 |
| Clearance Constraint (Gap=0.15mm) (All),(All) |
0 |
| Clearance Constraint (Gap=0.4mm) (All),(InPadClass('NPTH')) |
0 |
| Clearance Constraint (Gap=0.25mm) (OnLayer('Multi-Layer') and IsPad),(All) |
0 |
| Short-Circuit Constraint (Allowed=No) (All),(All) |
0 |
| Un-Routed Net Constraint ( (All) ) |
0 |
| Modified Polygon (Allow modified: No), (Allow shelved: No) |
0 |
| Width Constraint (Min=0.15mm) (Max=10mm) (Preferred=0.15mm) (All) |
0 |
| Power Plane Connect Rule(Relief Connect )(Expansion=0.5mm) (Conductor Width=0.3mm) (Air Gap=0.2mm) (Entries=4) (All) |
0 |
| Hole Size Constraint (Min=0.025mm) (Max=5mm) (All) |
0 |
| Hole To Hole Clearance (Gap=0.2mm) (All),(All) |
0 |
| Minimum Solder Mask Sliver (Gap=0.05mm) (All),(All) |
16 |
| Silk To Solder Mask (Clearance=0.05mm) (IsPad),(All) |
0 |
| Silk to Silk (Clearance=0mm) (All),(All) |
0 |
| Net Antennae (Tolerance=0mm) (All) |
0 |
| Board Clearance Constraint (Gap=0mm) (All) |
18 |
| Matched Lengths(Tolerance=0.1mm) (InNetClass('RS485 UART')) |
0 |
| Matched Lengths(Tolerance=0.1mm) (InNetClass('PWM LED')) |
0 |
| Matched Lengths(Tolerance=2.54mm) (InNetClass('RMII')) |
0 |
| Matched Lengths(Tolerance=0.05mm) (InNetClass('RS485')) |
0 |
| Room Board-ADC (Bounding Region = (129.489mm, 125mm, 162.2mm, 132.528mm) (InComponentClass('Board-ADC')) |
0 |
| Room Board-Ultrasonic (Bounding Region = (139.609mm, 124.15mm, 153.3mm, 131.101mm) (InComponentClass('Board-Ultrasonic')) |
0 |
| Room Board-PWM (Bounding Region = (127.5mm, 132.9mm, 141.3mm, 149.4mm) (InComponentClass('Board-PWM')) |
0 |
| Room Board-PowerSupply (Bounding Region = (155.612mm, 128.739mm, 167.884mm, 149.4mm) (InComponentClass('Board-PowerSupply')) |
0 |
| Room MCU (Bounding Region = (120.85mm, 126mm, 139.004mm, 133.757mm) (InComponentClass('MCU')) |
0 |
| Room Board-RS485 (Bounding Region = (141.2mm, 127.9mm, 150.65mm, 149mm) (InComponentClass('Board-RS485')) |
0 |
| Height Constraint (Min=0mm) (Max=60mm) (Prefered=12.7mm) (All) |
0 |
| Total |
34 |


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Adoptium is the successor project to AdoptOpenJDK. As part of the move, AdoptOpenJDK will no longer produce new builds. It is therefore recommended that:
We have kept the API usage identical between the AdoptOpenJDK V3 API and api.adoptium.net for ease of migration. We plan to continue to maintain it as backwards compatible with the AdoptOpenJDK API.
tl;dr :
The Vendor list in the AdoptOpenJDK API (at time of writing) is as follows:
adoptopenjdk, openjdk, alibaba, ibm, eclipse
In the past we distributed both Hotspot and OpenJ9 under the adoptopenjdk
Vendor.
When requests were made that did not explicitly state which Vendor was required,
the Vendor would default to adoptopenjdk
.
Now that AdoptOpenJDK will no-longer produce binaries, in order to keep delivering
updates to those depending on the AdoptOpenJDK API, the Vendor adoptopenjdk
has been
made synonymous to eclipse
. Requests that explicitly
ask for adoptopenjdk
, or do not specify a specific Vendor, will return
assets that are produced by either adoptopenjdk
(legacy) or eclipse
. That
synonym only works one way, requests asking specifically for eclipse
will ONLY
return builds produced by Eclipse Adoptium and NOT builds that were created at AdoptOpenJDK.
The addition of the ibm
vendor is to support the new Semeru project who will
be distributing OpenJ9 builds.
With the exception of legacy binaries, most requests for Hotspot JVMs should ultimately return an Eclipse Temurin binary.
eclipse
has become the new default (and currently only) Vendor at api.adoptium.net. New releases will
have the vendor eclipse
. api.adoptium.net will only distribute binaries produced
by Eclipse.
The jvm_impl list in the AdoptOpenJDK API is as follows:
hotspot, openj9, dragonwell
At api.adoptium.net (at time of writing), we are only distributing hotspot
binaries,
this has therefore become the one and only jvm_impl
at api.adoptium.net
Download statistics at Adoptium will only show downloads of Temurin binaries.
The AdoptOpenJDK API will only show download statistics of the legacy AdoptOpenJDK binaries.