The Space Needle is an observation tower in Seattle, Washington, a landmark of the Pacific Northwest, and an icon of Seattle. It was built in the Seattle Center for the 1962 World's Fair, which drew over 2.3 million visitors.
Pike Place Market is a public market overlooking the Elliott Bay waterfront in Seattle, Washington, United States. The Market opened August 17, 1907, and is one of the oldest continuously operated public farmers' markets in the United States.
Leavenworth is a city in Chelan County, Washington, United States. It is part of the Wenatchee−East Wenatchee Metropolitan Statistical Area. The population was 1,965 at the 2010 census.The entire town center is modeled on a Bavarian village.
Stevens Pass offers a variety of alpine ski runs ranging from beginner to advanced. Because there is no lodging at the base, Stevens is a day resort drawing heavily on skiers from the Seattle area. Night skiing is offered until 10pm most days (except Tues and Weds) during mid-season.
An outdoor football stadium on the campus of the University of Washington in Seattle, Washington, United States. Its U-shaped design was specifically oriented (18.167° south of due east) to minimize glare from the early afternoon sun in the athletes' eyes.
The highest mountain of the Cascade Range of the Pacific Northwest, and the highest mountain in the U.S. state of Washington. It is a large active stratovolcano located 54 miles (87 km) south-southeast of Seattle, in the Mount Rainier National Park.
The Museum of Flight is a private non-profit air and space museum in the northwest United States. It is located at the southern end of King County International Airport (Boeing Field), in the city of Tukwila, just south of Seattle.[4] It was established in 1965 and is fully accredited by the American Alliance of Museums. As the largest private air and space museum in the world, it also hosts the largest K-12 educational programs in the world.


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These are what you get along with this offer
Notifications of data updates and schema changes
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--- layout: page title: Student Registration Form permalink: /student/register sitemap: exclude: 'yes' ---


Welcome! Are you completely new to programming? If not then we presume you will be looking for information about why and how to get started with Python. Fortunately an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It's also easy for beginners to use and learn, so jump in!
Installing Python is generally easy, and nowadays many Linux and UNIX distributions include a recent Python. Even some Windows computers (notably those from HP) now come with Python already installed.
If you do need to install Python and aren't confident about the task you can find a few notes on the BeginnersGuide/Download wiki page, but installation is unremarkable on most platforms.
Before getting started, you may want to find out which IDEs and text editors are tailored to make Python editing easy, browse the list of introductory books, or look at code samples that you might find helpful.
There is a list of tutorials suitable for experienced programmers on the BeginnersGuide/Tutorials page. There is also a list of resources in other languages which might be useful if English is not your first language.
The online documentation is your first port of call for definitive information. There is a fairly brief tutorial that gives you basic information about the language and gets you started. You can follow this by looking at the library reference for a full description of Python's many libraries and the language reference for a complete (though somewhat dry) explanation of Python's syntax. If you are looking for common Python recipes and patterns, you can browse the ActiveState Python Cookbook.
If you want to know whether a particular application, or a library with particular functionality, is available in Python there are a number of possible sources of information. The Python web site provides a Python Package Index (also known as the Cheese Shop, a reference to the Monty Python script of that name). There is also a search page for a number of sources of Python-related information. Failing that, just Google for a phrase including the word ''python'' and you may well get the result you need. If all else fails, ask on the python newsgroup and there's a good chance someone will put you on the right track.
If you have a question, it's a good idea to try the FAQ, which answers the most commonly asked questions about Python.
If you want to help to develop Python, take a look at the developer area for further information. Please note that you don't have to be an expert programmer to help. The documentation is just as important as the compiler, and still needs plenty of work!
All the reference has been taken from here.
Here are some of the sample codes:
# This program prints Hello world!
print('Hello world!')
# This program adds two numbers
num1 = 1.5
num2 = 6.3
# Add two numbers
sum = float(num1) + float(num2)
# Display the sum
print('The sum of {0} and {1} is {2}'.format(num1, num2, sum))
# Python Program to calculate the square root
# Note: change this value for a different result
num = 8
# To take the input from the user
#num = float(input('Enter a number: '))
num_sqrt = num ** 0.5
print('The square root of %0.3f is %0.3f'%(num ,num_sqrt))
# Python program to swap two variables
x = 5
y = 10
# To take inputs from the user
#x = input('Enter value of x: ')
#y = input('Enter value of y: ')
# create a temporary variable and swap the values
temp = x
x = y
y = temp
print('The value of x after swapping: {}'.format(x))
print('The value of y after swapping: {}'.format(y))
# If the number is positive, we print an appropriate message
num = 3
if num > 0:
print(num, "is a positive number.")
print("This is always printed.")
num = -1
if num > 0:
print(num, "is a positive number.")
print("This is also always printed.")
Some facts on python:
- Python was a hobby project.
- The language’s name isn’t about snakes, but about the popular British comedy troupe Monty Python (from the 1970s). Guido himself is a big fan of Monty Python’s Flying Circus. Being in a rather irreverent mood, he named the project ‘Python’.
- Unlike Java and C++, Python does not use braces to delimit code. Indentation is mandatory with Python. If you choose to import it from the __future__ package, it gives you a witty error.
- Functions can return multiple values.
- Python supports multiple assignments in one statement.


THE MUSIC OF CHANCE A film review by James Berardinelli Copyright 1993 James Berardinelli
Rating (Linear 0 to 10): 6.0
Date Released: varies Running Length: 1:40 Rated: R (Language, mature themes, violence)
Starring: Mandy Patinkin, James Spader, M. Emmet Walsh, Charles Durning, Joel Grey Director: Philip Haas Producers: Frederick Zollo and Dylan Sellers Screenplay: Philip Haas and Belinda Haas based on the novel by Paul Auster Music: Phillip Johnston Released by I.R.S Releasing and Trans Atlantic Entertainment
On the way to New York City, James Nashe (Mandy Patinkin) stops by the side of the road to offer a lift to a beat-up and bedraggled stranger. This man turns out to be Jack Pozzi (James Spader), a professional gambler. As the two get to talking, Pozzi tells Nashe of a recent robbery that lost him the ten thousand dollars he was going to use in an upcoming "sure thing" poker game. Intrigued by the idea of some quick, easy money, Nashe offers Pozzi a proposition. He'll advance the ten thousand if all profits get split fifty-fifty. The deal is struck and the two are off to the rural Pennsylvania residence of Flower and Stone (Charles Durning and Joel Grey), where the games begin.
THE MUSIC OF CHANCE is a film of many levels. At its most literal, it tells the story of a poker game and its consequences, which include building a ten-thousand stone wall. However, those that choose to see this movie on that level only will find the production a rather dry and stale experience. While final scene, dripping with meaning, gives the picture closure, very little is resolved, and there are a lot of questions left unanswered.
Peel back the straightforward plot and take a peek at what lies just beneath it. There you will find other questions, but these are of a far more imposing and thought-provoking nature. THE MUSIC OF CHANCE explores how one moment can forever alter--and perhaps destroy--lives. It also reinforces that old saw that luck is too capricious a force to trust.
At the center of the story are three characters. James Nashe is the basic "nice guy" who believes in honoring obligations regardless of the cost. He is also willing to accept far more of the blame than he deserves. On the other hand, his mismatched partner, Jack Pozzi, is unwilling to accept the blame for anything; he would rather shift it to fate, chance, or anything else he can make a connection with. Calvin Murks (M. Emmet Walsh) represents the crusty authority that keeps these two very different men together in a union that neither wants nor can deny.
Metaphors abound, from the "wailing wall" to the "City of the World" being built by Willie Stone. In fact, there's so much symbolism that little in this movie has a single meaning. There are times when the screenplay tries too hard to be intellectual, spouting such nonsense as prime numbers having souls, but these isolated instances in no way detract from the deeper meaning of the overall story.
Character motivation and interaction are driving forces, and necessary to understanding any of what happens during THE MUSIC OF CHANCE. As obscure as some of the plot may be, Jack and James are completely understandable. Calvin Murks starts out as something of an enigma, but as the film progresses, clues about his real nature slip out.
James Spader, cast against type, is completely believable as the unsavory and difficult-to-like Jack. M. Emmet Walsh does his usual "good ol' boy" routine with a nasty, sadistic twist--something he presents in a subtle-yet-distinctive manner. The standout, however, is Mandy Patinkin who, with little fanfare, captures our attention and sympathy with his portrayal of James Nashe, the man trapped and battered by fate's cruel whims.
The film's conclusion is it's greatest weakness. Aside from being relatively predictable, it isn't entirely satisfactory. Movies such as this don't have to wrap up all their disparate plot threads for the whole to come together. Nevertheless, THE MUSIC OF CHANCE might have benefitted from a little more certainty about some of what goes on, and how it all ends up.
THE MUSIC OF CHANCE did not receive wide release because, in spite of a well-known cast, it is not a movie for mass consumption. After all, how many people out for an evening's light entertainment are going to get excited about an occasionally-pompous, intellectual film about poker and wall building? Nevertheless, as is often the case with movies such as this, there's more to THE MUSIC OF CHANCE than can be seen with the first casual glance. An investment of time is needed and, for the most part, rewarded.
- James Berardinelli<EMAIL_ADDRESS>.
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


If user wants to Make Payment for the packages to ship using ShipConsole then he needs to click on "Make Payment" in home page as show in below Figure.
Figure 11.1
It will redirect to the Payment Details page as shown below.
Figure 11.2
If user wants to Make Payment for the packages to ship using ShipConsole then he needs to click on "Make Payment" in home page as show in below Figure.
Figure 11.1
It will redirect to the Payment Details page as shown below.
Figure 11.2


THE WORST-CASE SCENARIO SURVIVAL HANDBOOK
There are about 650,000 black bears in North America, and only
one person every three years is killed by a bear _ although there
are hundreds of thousands of encounters. Most bears in the
continental United States are black bears, but black bears are not
always black in color: Sometimes their fur is brown or blond. Males
are generally bigger than females (125 pounds to 500 pounds for
males, 90 pounds to 300 pounds for females).
Bears can run as fast as horses, uphill or downhill. They can
also climb trees.
Bears have excellent senses of smell and hearing _ and they're
extremely strong. They can tear cars apart looking for food.
Every bear defends a ``personal space.'' The extent of this
space will vary with each bear and each situation; it may be a few
feet or a few hundred feet. Intrusion into this space is considered
a threat and may provoke an attack.
It's important to know that bears aggressively defend their
food. Stay away from dead animals because bears may attack to
defend such food.
Female bears defend their cubs. If a female with cubs is
surprised at close range or is separated from her cubs, she may
attack.
WHAT TO DO IF YOU SEE A BEAR
_ Make your presence known by talking loudly, clapping, singing
or calling out. Whatever you do, make sure you are heard. It does
not pay to surprise a bear.
_ Keep children close at hand.
_ There is no guaranteed minimum safe distance from a bear _ the
farther, the better.
_ If you are in a car, remain in your vehicle. Do not get out,
even for a quick photo. Keep your windows up. Do not impede the
bear from crossing the road.
&UR; HOW TO ESCAPE FROM A BEAR &LR; &QL;
If a bear is threatening you:
_ Lie still and quiet. Documented attacks show that an attack by
a mother black bear often ends when the person stops fighting.
 Don't try to climb a tree to escape. Black
bears can climb trees easily and will come after you. The odds are
that the bear will leave you alone if you stay put.
 Go for the bear's eyes or its snout.
SIDEBAR: HOW TO AVOID AN ATTACK
_ Reduce or eliminate food odors from yourself, your camp, your
clothes and your vehicle. Don't sleep in the same clothes you cook
in.
_ Store food so that bears cannot smell it or reach it. Do not
keep food in your tent _ not even a chocolate bar.
_ Properly store and dispose of all garbage.
_ Handle and store pet food with as much care as your own.
The publisher and authors of ``The WORST-CASE SCENARIO Survival
Handbook'' disclaim any liability from any injury that may result
from the use, proper or improper, of the information contained in
this excerpt. All the information in this excerpt comes directly
from experts in the situation at hand, but we do not guarantee that
the information is complete, safe or accurate, nor should it be
considered a substitute for your good judgment and common sense.


ESGF CoG Administrator
ESGF/CoG Administrator Guide Overview
ESGF/CoG Administrator Login
Node Home Project Setup
Home Page Example
Data Search Configuration
Data Access Control Setup
Node Federation
Configuring Globus
Data Transfer Node Setup
Header and Footer
Google Analytics
Notification Header
ESGF CoG User Accounts
Setup Federation
Cron Jobs
Restore from Backup
“Local Shard” Setup
CoG Installation or Upgrade
Create an account
Authorization for ESGF Data Access
Logging in with OpenID
Forgot OpenID
Forgot Password
Update Password
Getting Safari to accept the ESGF OpenID certificate
Getting Chrome to accept the ESGF OpenID certificate
Getting Internet Explorer to accept the ESGF OpenID certificate
Getting Firefox to accept the ESGF OpenID certificate
CoG Installation from Docker
Installation: Prerequisites
Installation: Initial setup
Installation: Install or Upgrade
Installation Testing: Initial Testing of the Installation
Installation Configuration
ESGF CoG Administrator
Docs
»
<no title>
View page source


Provides API to Melbourne pedestrian data in tidy data form.
| Version: | 0.4.0 |
| Depends: | R (≥ 3.1.3) |
| Imports: | tidyr, dplyr, httr |
| Suggests: | shiny (≥ 1.0.4), plotly |
| Published: | 2018-12-13 |
| Author: | Earo Wang [aut, cre] |
| Maintainer: | Earo Wang <earo.wang at gmail.com> |
| BugReports: | https://github.com/earowang/rwalkr/issues |
| License: | MIT + file LICENSE |
| URL: | http://pkg.earo.me/rwalkr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | rwalkr results |
| Reference manual: | rwalkr.pdf |
| Package source: | rwalkr_0.4.0.tar.gz |
| Windows binaries: | r-devel: rwalkr_0.4.0.zip, r-release: rwalkr_0.4.0.zip, r-oldrel: rwalkr_0.4.0.zip |
| OS X binaries: | r-release: rwalkr_0.4.0.tgz, r-oldrel: rwalkr_0.4.0.tgz |
| Old sources: | rwalkr archive |
Please use the canonical form https://CRAN.R-project.org/package=rwalkr to link to this page.


Create Drip Notification
Please fill in all the fields.
Title*
i
20 characters max
Message*
i
70 characters max
Days*
i
Occurs when a user doesn't return to the app in the specified amount of days.


Netty 4 was released more than a year ago and Netty 5 Alpha is already available. Finagle is still using Netty 3, which is getting outdated quickly and is preventing us from taking advantage of various performance improvements in newer versions. It’s also creating additional work for the Finagle team at Twitter as we need to port important security and performance fixes back to Netty 3.
We can split the work required to make this upgrade into two main areas:
The first area is relatively straightforward. Once the changes are implemented, we’ll use a new load test framework that Twitter is developing to verify that there are no regressions in performance or functionality.
The second area is the really problematic one and is what makes this effort epic. Many projects that directly depend on Finagle are affected, and some of these expose Netty 3 types as part of their own public surface, affecting even more projects that depend on them, and so on.
We are addressing these challenges by adopting a multi-stage approach.
For parts of Finagle that have a relatively low number of affected APIs (e.g. finagle-core) we’ll add new APIs alongside the old ones, and deprecate the old ones. As part of deprecation we’ll update all internal projects at Twitter to use the new version.
For each part that has lots of Netty 3-based APIs (e.g. finagle-http, finagle-memcached, and finagle-kestrel), we’ll add a whole new parallel package with the suffix “x” (e.g. finagle-httpx, finagle-memcachedx). All new bug fixing and feature additions will be done in the new packages.
Existing packages that are not widely used internally (such as finagle-redis) will be moved out of the Finagle repository and into their own projects under the new Finagle organization on GitHub.
Once a sufficient number of projects have been migrated, we’ll remove all deprecated APIs and packages (this will require incrementing Finagle’s major version).
At this point, the Netty version used by Finagle will be an implementation detail, and we’ll do the work necessary to upgrade to Netty 4 and verify that performance and functionality are not affected. While this upgrade will be seamless for users of Finagle, we’ll still increment the major version to indicate that such a significant implementation detail has been changed. We anticipate completing this process in the second quarter of 2015, although the timeline is still subject to revision.
The Finagle repository on GitHub now contains “x” versions of three Finagle packages (finagle-http, finagle-memcached, and finagle-kestrel), and you can follow our progress there, or even experiment with using these new packages in your own applications—we’d love feedback about any challenges you run into. If you have questions about this upgrade, please contact us on the Finaglers mailing list, and be sure to watch this space for upcoming blog posts about details of the transition for individual Finagle packages.


{% load static %}
Delivering you the time!
#Ph - xxxxxxxxxx Address: RA-43 , Central Road, Nakar Nagar, Delhi - 110092


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| CONTENTS | PREV | NEXT | Java Remote Method Invocation |
Unreferenced
Interface
package java.rmi.server; public interface Unreferenced { public void unreferenced(); }
Thejava.rmi.server.Unreferenced
interface allows a server object to receive notification that there are no clients holding remote references to it. The distributed garbage collection mechanism maintains for each remote object, the set of client virtual machines that hold references to that remote object. As long as some client holds a remote reference to the remote object, the RMI runtime keeps a local reference to the remote object. Each time the remote object's "reference" set becomes empty (meaning that the number of clients that reference the object becomes zero), theUnreferenced.unreferenced
method is invoked (if that remote object implements theUnreferenced
interface). A remote object is not required to support theUnreferenced
interface.As long as some local reference to the remote object exists, it may be passed in remote calls or returned to clients. The process that receives the reference is added to the reference set for the remote object. When the reference set becomes empty, the remote object's
unreferenced
method will be invoked. As such, theunreferenced
method can be called more than once (each time the set is newly emptied). Remote objects are only collected when no more references, either local references or those held by clients, still exist.


Change Log
All notable changes to this project will be documented in this file.
This project adheres to Semantic Versioning.
1.0.0 - 2016-07-07
- updated npm dependencies
- updated code to work with newest libraries
0.1.1
- added HTTP status code support to simulate errors
0.1.0


CSS Positioning
Differences between Relative, Absolute and Fixed
March 29, 2015
CSS positioning plays a crucial role in the overall look and feel of a webpage. As you continue to add content to your website, knowing how to tell that content where to sit on the page is a very useful skill!
The standard behavior for HTML content (without applying any CSS) is to flow lower down the page. If you add one HTML block (let's say it's just a paragraph), then you add another one below it in the code -- that's exactly how the paragraphs will appear on the webpage. The paragraph you wrote first will appear higher on the page.
Relative Positioning allows you to shift the element around (by adjusting the top, right, bottom or left attribute in CSS) to a different area than where it would have been if you had kept the normal flow. Since you can specify that you want to use relative positioning for a specific element, it does not affect the position of the other elements. For example, let's say that I want to shift a paragraph over to the right from where it would have been originally. All I have to do is add the following to the CSS file I have linked:
Absolute Positioning allows you to take an element out of its normal flow. An element is positioned in relation to it's containing element (let's say it's a h1 header):
The above sample code sets the position of the h1 element to absolute and moves it 2em from the left side of the page. It sits at the very top of the page and is 200 pixels wide.
Fixed Positioning allows you to take an element out of its normal flow. The positioning is done in relation to the browser window itself. Have you ever wanted to create one of those navigation bars on the side of the page that stays in the same position now matter how much you scroll around? That's exactly what setting the position attribute to fixed does. All of the other elements behave as if that element is not even there. They ignore the space the element would have taken up. If set the position attribute to fixed in the code above, then that header would move all the way down the page with you -- no matter where you went!


SAMS is a project funded by the European Union within the H2020-ICT-39-2016-2017 call.
SAMS enhances international cooperation of ICT (Information and Communication Technologies) and sustainable
agriculture between EU and developing countries in pursuit of the EU commitment to the UN Sustainable Development
Goal “End hunger, achieve food security and improved nutrition and promote sustainable agriculture”.
To get more information about the SAMS project please visit:
https://sams-project.eu/
This Data Warehouse (DW) is a universal system, which is able to operate with different data inputs and have flexible data processing algorithms. Data warehouse archictecture is demonstrated below:
DW consists of three modules: Core, WebApi, GUI.
Benefit of the developed DW is that data are processed almost immediately by involving different models for data
aggregation and reporting. Modular architecture of the solution ensures isolation boundaries both for reliability
reasons, maintenance and development considerations.


This text is normal.
This text is bold.
This text is using strong tag!
This text is using < i > tag!
This text is < em > emphasized .
This is some normal text.
This is some smaller text using < small >.
Do not forget to buy MILK today.
My favorite color is blue maroon .
The ins element represent inserted (added) text.
My favorite color is maroon.
My favorite color is blue maroon.
(a+b) 2 = a 2 + 2*a*b + b 2
NH 4
C2H6


Microorganisms, higher plants, and animals produce a large number of different protein inhibitors of a-amylases in order to regulate the activity of these enzymes. These inhibitors can be grouped into six classes based on their tertiary structures: lectin-like, knottin-like, cereal-type, Kunitz-like, γ-purothionin-like and thaumatin-like inhibitors. Some of these inhibitors act by directly blocking the active centre of the enzyme at various local sites.
In animals, a-amylase inhibitors reduce the glucose peaks that can occur after a meal, slowing the speed with which a-amylase can convert starch to simple sugars until the body can deal with it. This is of particular importance in people with diabetes, where low insulin levels prevent extracellular glucose from being cleared quickly from the blood. Therefore, diabetics tend to have low a-amylase levels in order to keep glucose levels under control, except after taking insulin, which causes a rise in pancreatic a-amylase.
Plants also use a-amylase inhibitors as a defence strategy. These inhibitors impede the digestive action of a-amylases and proteinases in the insect gut, thereby acting as insect anti-feedants. As a result, a-amylase inhibitors have potential in various fields, including crop protection and the treatment of diabetes.
Amylases have found several valuable niches within our society, some of which are listed below:
Disease Testing
A simple test can be used to determine the level of amylases present in blood plasma in order to screen for pancreatitis. The test is usually performed soon after a bout of pancreatic pain, as the kidneys rapidly excrete amylases. Increased levels of amylases occur during pancreatitis as a result of the damage that is done to amylase-producing cells, but levels can also be elevated due to renal failure (reduced excretion) or mumps (inflammation of salivary glands).
Fruit ripening
Amylases are synthesized in the fruits of many plants during ripening, causing them to become sweeter as the starch is degraded to sugars.
Malt Production
Amylases are produced during the germination of cereal grains, and this enzyme is key to the production of malt.
Flour Improvers
a-Amylases are added to dough as part of a flour improver in order to hydrolyze the starch present in the flour to provide more fermentable sugars for the yeast, which decreases rising times, and ultimately costs. In addition, the use of different enzymes can alter the properties of the flour.


Dependencies Report
Project Dependencies
compile
The following is a list of compile dependencies for this project. These dependencies are required to compile and run the application:
| GroupId | ArtifactId | Version | Type | Licenses |
|---|---|---|---|---|
| commons-io | commons-io | 2.11.0 | jar | The Apache License, Version 2.0 |
| org.apache.commons | commons-text | 1.10.0 | jar | The Apache License, Version 2.0 |
Project Transitive Dependencies
The following is a list of transitive dependencies for this project. Transitive dependencies are the dependencies of the project dependencies.
compile
The following is a list of compile dependencies for this project. These dependencies are required to compile and run the application:
| GroupId | ArtifactId | Version | Type | Licenses |
|---|---|---|---|---|
| org.apache.commons | commons-lang3 | 3.12.0 | jar | The Apache License, Version 2.0 |
Project Dependency Graph
Dependency Tree
- de.ddb.labs:DDBfart:jar:1.2 Info
- org.apache.commons:commons-text:jar:1.10.0 (compile) Info
- org.apache.commons:commons-lang3:jar:3.12.0 (compile) Info
- commons-io:commons-io:jar:2.11.0 (compile) Info
- org.apache.commons:commons-text:jar:1.10.0 (compile) Info
Licenses
The Apache License, Version 2.0: DDBfart
Dependency File Details
| Total | Size | Entries | Classes | Packages | Java Version | Debug Information |
|---|---|---|---|---|---|---|
| Filename | Size | Entries | Classes | Packages | Java Version | Debug Information |
| commons-io-2.11.0.jar | 327.1 kB | 224 | 201 | 11 | 1.8 | Yes |
| commons-lang3-3.12.0.jar | 587.4 kB | 374 | 345 | 17 | 1.8 | Yes |
| commons-text-1.10.0.jar | 238.4 kB | 174 | 154 | 8 | 1.8 | Yes |
| 3 | 1.2 MB | 772 | 700 | 36 | 1.8 | 3 |
| compile: 3 | compile: 1.2 MB | compile: 772 | compile: 700 | compile: 36 | - | compile: 3 |


Id: 76
Name: Cousin Nicky
Status: Dead
Species: Alien
Type: Parasite
Gender: Male
OriginName: unknown
OriginUrl:
LocationName: Earth (Replacement Dimension)
LocationUrl: https://rickandmortyapi.com/api/location/20
Image: https://rickandmortyapi.com/api/character/avatar/76.jpeg
Episode: ['https://rickandmortyapi.com/api/episode/15']
Url: https://rickandmortyapi.com/api/character/76
Created: 2017-11-30T14:11:52.882Z


| Client's name and final decision maker | Dao |
|---|---|
| Client's business and website name | Queen Anne nail and spa |
| Redesign and brand new website | Redesign |
| Type of website | Marketing, commercial |
| Client's goal | Dao wants her website to have a modern UI, and help her clients make appointment online easier. She also wants me to help her modify the website when she changes services price |
| Audiences | Issues | Approaches |
|---|---|---|
| New clients: people who are new to the business or make appointment on the business's website for the first time |
|
|
| Current clients |
|
|
| Dao, business's owner |
|
|


public class TriplePattern extends Object implements ClauseEntry
Wildcards are recorded by using Node_RuleVariable entries rather than nulls because they can be named. If a null is specified that is converted to a variable of name "". Note that whilst some engines might simply require Node_Variables the forward engine requires variables represented using the more specialized subclass - Node_RuleVariable.
It would make more sense to have TriplePattern subclass Triple but that is final for some strange reason.
| Constructor and Description |
|---|
TriplePattern(Node subject,
Node predicate,
Node object)
Constructor - builds a pattern from three nodes,
use Node_RuleVariables as variables, use a variable
with an empty name as a wildcard, can also use null
as a wildcard.
|
TriplePattern(Triple match)
Constructor - builds a degenerate pattern from a simple triple.
|
| Modifier and Type | Method and Description |
|---|---|
Triple |
asTriple()
Return the triple pattern as a triple
|
Triple |
asTripleMatch()
Return the triple pattern as a triple match (concrete terms + Node.ANY)
|
boolean |
compatibleWith(TriplePattern pattern)
Compare two patterns for compatibility - i.e.
|
boolean |
equals(Object o)
Equality override - used so that TriplePattern variants (same to within variable renaming) test as equals
|
Node |
getObject()
Returns the object.
|
Node |
getPredicate()
Returns the predicate.
|
Node |
getSubject()
Returns the subject.
|
int |
hashCode()
hash function override
|
boolean |
isGround()
Test if the pattern is ground, contains no variables.
|
boolean |
isLegal()
Check a pattern to see if it is legal, used to exclude backchaining goals that
could never be satisfied.
|
boolean |
sameAs(Object o)
Compare triple patterns, taking into account variable indices.
|
static String |
simplePrintString(Node n)
Simplified printable name for a node
|
static String |
simplePrintString(Triple t)
Simplified printable name for a triple
|
boolean |
subsumes(TriplePattern arg)
Compare two patterns and return true if arg is a more
specific (more grounded) version of this one.
|
String |
toString()
Printable string
|
boolean |
variantOf(TriplePattern pattern)
Test if a pattern is just a variant of this pattern.
|
public TriplePattern(Node subject, Node predicate, Node object)
public TriplePattern(Triple match)
public Node getObject()
public Node getPredicate()
public Node getSubject()
public Triple asTripleMatch()
public Triple asTriple()
public boolean compatibleWith(TriplePattern pattern)
public boolean variantOf(TriplePattern pattern)
public boolean isLegal()
public boolean subsumes(TriplePattern arg)
public boolean isGround()
public static String simplePrintString(Triple t)
public static String simplePrintString(Node n)
public boolean equals(Object o)
public boolean sameAs(Object o)
sameAs
in interface ClauseEntry
Licenced under the Apache License, Version 2.0


A high performance toolkit for molecular simulation. Use it as a library, or as an application. We include extensive language bindings for Python, C, C++, and even Fortran. The code is open source and actively maintained on Github, licensed under MIT and LGPL. Part of the Omnia suite of tools for predictive biomolecular simulation.
Extreme flexibility through custom forces and integrators. Extreme performance through GPU Acceleration, with optimizations for AMD, NVIDIA, and Intel Integrated GPUs. It's fast on CPUs too. See the benchmarks.
In addition to the source code, we also provide pre-built binaries for Windows, Linux, and Mac.
For more information about the science, the code base, and the API behind OpenMM.
For more information about filing bug reports, requesting new features, and other issues.
Explore additional libraries and third-party tools built around OpenMM.


Services Schema¶
Created by Manuel Parra, May 2017
Machine Learning and Data Mining Services Description with TURTLE and JSON-LD
Data on the Web o Cloud use properties (aka predicates) and classes (aka types) to describe people, places, products, events, and any kind of things whatsoever. In the data “Mary is a person, her family name is Watson, she lives is the city of San Francisco”, “Person” is the class of Mary, “City” is the class of San Francisco, “family name” and “lives is” are properties used to describe a person, the latter acting also as a link between a person and a place.
A vocabulary gathers definitions of a set of classes and properties (together simply called terms of the vocabulary), useful to describe specific types of things, or things in a given domain or industry, or things at large but for a specific usage. Terms of vocabularies also provide the links in linked data, in the above case between a Person and a City. The definitions of terms provided by the vocabularies bring clear semantics to descriptions and links, thanks to the formal language they use (some dialect of RDF such as RDFS or OWL). In short, vocabularies provide the semantic glue enabling Data to become meaningful Data.
More info: http://lov.okfn.org/dataset/lov/
Our namespace and set of vocabularies are called dmmlcc: DataMining MachineLearning Cloud Computing Schema and the IRI related is http://dicits.ugr.es/dmmlcc#
and it is waiting to be validated and acepted in Linked Open Vocabularies (LOV) (http://lov.okfn.org/) as a Machine Learning Cloud Computing Services Definition following the LOV recommendation http://lov.okfn.org/Recommendations_Vocabulary_Design.pdf
Schema¶
Our schema and vocabulary cover:
- Service Discovery
- Service Classification
- Service Authentication
- Service Pricing
- Service Execution (and execution flow/pipeline)
- Service SLA (Software License)
The schema is the following:
Definition of the schema¶
The scheme is available from the following link
.
Head contains:
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix xml: <http://www.w3.org/XML/1998/namespace> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix gr: <http://purl.org/goodrelations/v1#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix mls: <http://www.w3.org/ns/mls> .
@prefix dmmlcc: <http://dicits.ugr.es/dmmlcc#> .
@prefix waa: <http://purl.oclc.org/NET/WebAuthentication> .
@base <http://dicits.ugr.es/dmmlcc/v1.0/> .
dmmlcc: rdf:type owl:Ontology ;
dcterms:hasVersion 1.0 ;
dcterms:description ""@en ;
dcterms:title ""@en ;
dcterms:created "2012-09-20"^^xsd:date ;
dcterms:issued "2014-01-14"^^xsd:date ;
rdfs:label "Linked USDL Core"@en ;
foaf:page <http://dicits.ugr.es/dmmlcc/start/> ;
dcterms:creator dmmlcc:manuelparra ;
owl:versionInfo "1.1" .
dmmlcc:manuelparra a foaf:Person;
foaf:name "Manuel Parra";
foaf:mbox<EMAIL_ADDRESS>foaf:homepage <http://dicits.ugr.es/members/#manuelparra> .
...
Namespaces and Vocabularies¶
Before we can use a set of terms, we need a precise indication of what specific vocabularies are being used or will be used. A standard initial component of an ontology includes a set of namespace declarations. These provide a means to unambiguously interpret identifiers and make the rest of the ontology presentation much more readable.
An IRI (Internationalized Resource Identifier) within an RDF graph is a Unicode string that conforms to the syntax defined in RFC 3987. We are using the following namespaces and vocabularies:
owl
(Web Ontology): http://www.w3.org/2002/07/owl#rdf
(Resource Description Framework): http://www.w3.org/1999/02/22-rdf-syntax-ns# .xsd
(XML Schema Definition): http://www.w3.org/2001/XMLSchema# .rdfs
(Resource Description Framework Schema): http://www.w3.org/2000/01/rdf-schema# .dcterms
(Dublin Core): http://purl.org/dc/terms/ .foaf
(Friend of a Friend): http://xmlns.com/foaf/0.1/ .gr
(GoodRelations): http://purl.org/goodrelations/v1# .skos
(Simple Knowledge Organization System): http://www.w3.org/2004/02/skos/core# .mls
(Machine Learning Schema): http://www.w3.org/ns/mls .waa
(Web Api Authentication): http://purl.oclc.org/NET/WebAuthentication .dmmlcc
(DataMining MachineLearning CloudComputing Schema): http://dicits.ugr.es/dmmlcc# .


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AUSTIN POWERS: INTERNATIONAL MAN OF MYSTERY
A film review by Kelly Carlson
Copyright 1997 Kelly Carlson
I've seen and received some mixed reviews of the latest movie creation by Mike Myers, which also stars the gorgeous brit-beauty Elizabeth Hurley. Myers plays two characters, Austin Powers, International Man Of Mystery, and his arch-enemy Dr.Evil, both hilarious... "beee-have!"" How anybody cannot think that this movie is not funny really confuses me, and should seek therapy for their jadedness. Myers backdrops the retro stylings of typical late 60's spy flicks, computers with meaningless light flickerings, and all.  In one scene, the de-thawing of Austin Powers, after spending some 20 years frozen in a cryogenic tank, comes a long-awaited tinkle that never seems to stop, as such, the laughs this movie produces. The dance sequences, and Mike Myers' facial expressions will have you laughing. ***1/2 (out of four).
<EMAIL_ADDRESS><EMAIL_ADDRESS>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


public class TicTacToeGame
extends com.badlogic.gdx.Game
| Modifier and Type | Field and Description |
|---|---|
static int |
MENU_HEIGHT
Class variable that stores this game's UI's menu height in pixels.
|
static int |
MENU_WIDTH
Class variable that stores this game's UI's menu width in pixels.
|
| Constructor and Description |
|---|
TicTacToeGame() |
| Modifier and Type | Method and Description |
|---|---|
void |
adjustViewport(int width,
int height)
Adjusts this game's viewport.
|
void |
adjustViewport(int width,
int height,
com.badlogic.gdx.utils.viewport.Viewport viewport)
Adjusts this game's viewport.
|
void |
create()
Creates this game.
|
void |
exitGame()
Exits this game.
|
AIDifficulty |
getAiDifficulty()
Gets the AI difficulty.
|
com.badlogic.gdx.assets.AssetManager |
getAssetManager()
Gets this game's UI asset manager.
|
GameLogic |
getGameLogic()
Gets this game's game logic.
|
com.badlogic.gdx.graphics.glutils.ShapeRenderer |
getShapeRenderer()
Gets this game's UI shape renderer.
|
com.badlogic.gdx.scenes.scene2d.ui.Skin |
getSkin()
Gets this game's UI skin.
|
Dimension |
getTerritorySize()
Gets the territory size.
|
boolean |
isAiOpponent()
Gets whether this is a game against an AI player.
|
void |
render()
Renders this game.
|
void |
setAiDifficulty(AIDifficulty aiDifficulty)
Sets this game's AI difficulty.
|
void |
setAiOpponent(boolean aiOpponent)
Sets whether this is a game against an AI player.
|
void |
setEndScreen()
Sets the end screen.
|
void |
setLoadingScreen()
Sets the loading screen.
|
void |
setOptionsScreen()
Sets the options screen.
|
void |
setPlayScreen()
Sets the play screen.
|
void |
setSkin(com.badlogic.gdx.scenes.scene2d.ui.Skin skin)
Sets this game's UI skin.
|
void |
setTerritorySize(Dimension territorySize)
Sets this game's territory size.
|
void |
setTitleScreen()
Sets the title screen.
|
public static final int MENU_WIDTH
public static final int MENU_HEIGHT
public void create()
public void adjustViewport(int width, int height, com.badlogic.gdx.utils.viewport.Viewport viewport)
width
- the new width of the game windowheight
- the new height of the game windowviewport
- a specific viewport to updatepublic void adjustViewport(int width, int height)
width
- the new width of the game windowheight
- the new height of the game windowpublic void setLoadingScreen()
public void setTitleScreen()
public void setOptionsScreen()
public void setPlayScreen()
public void setEndScreen()
public void exitGame()
public void render()
render
in interface com.badlogic.gdx.ApplicationListener
render
in class com.badlogic.gdx.Game
public GameLogic getGameLogic()
public com.badlogic.gdx.scenes.scene2d.ui.Skin getSkin()
public void setSkin(com.badlogic.gdx.scenes.scene2d.ui.Skin skin)
skin
- the new skin for this game's UIpublic com.badlogic.gdx.graphics.glutils.ShapeRenderer getShapeRenderer()
public com.badlogic.gdx.assets.AssetManager getAssetManager()
public Dimension getTerritorySize()
public void setTerritorySize(Dimension territorySize)
territorySize
- the new territory size for this gamepublic boolean isAiOpponent()
public void setAiOpponent(boolean aiOpponent)
aiOpponent
- boolean value indicating whether this is a game
against an AI playerpublic AIDifficulty getAiDifficulty()
public void setAiDifficulty(AIDifficulty aiDifficulty)
aiDifficulty
- the new AI difficulty to set


01 - New town sheep
02 - Dog
03 - I fell in ove with a call girl
04 - Subcultural love
05 - Show me yours
"The instrumentation is a mesh of Dracula church organ, crunchy guitars and half-baked drums, the like of which feature heavily on Dale Barclay’s new project, And Yet It Moves, an all too obvious influence for the band. As for the vocals, they’re often painted with a coating of reverb so thick that it feels like Telford’s sneering jibes and cutting commentary is recorded in the grandest of cathedrals, it’s all very fitting for the organ vibe.""
Get full review here : channel7A - Bluebirds
"Leaving us awestruck at last year’s Tenement Trail, the band have continued to develop their material while barging their way through the crowds to be in line as the heir apparent to The Amazing Snakehead’s sordid throne as the country’s most darkly fascinating band."
Get full review here : TenementTV - Bluebirds
"Taking a real nihilistic approach, both in lyrical content and sound itself (and indeed title), Bluebirds have produced a debut effort that spits ‘this is who we are, like it or lump it’, from Daniel Telford’s knowing sneer right down to the jazz tinged drumming."
Get full review here : ravechild - Bluebirds
"With lyrics that draw from the dark, lovelorn brilliance of Nick Cave and the unorthodox, brutally honest genius of Bukowski, Bluebirds explore themes of longing and frustrations with the world, bringing dark twisted scenarios to every day situations."
Get full review here : mumble - Bluebirds


--- layout: post title: Primality testing- Sieve algo (C/python) categories: [] tags: [] status: draft type: post published: false meta: {} author: ---
If you are into algorithms, you would realize that Primality testing is a very important topic. In naive terms Primality testing is finding if a number is prime or not. Lets discuss a few tricks for the same.
NAIVE ALGORITHM:
def primes_sieve2(limit):
a = [True] * limit # Initialize the primality list
a[0] = a[1] = False
for (i, isprime) in enumerate(a):
if isprime:
yield i
for n in xrange(i*i, limit, i): # Mark factors non-prime
a[n] = False
Sieve of Atins
C code- http://www.programminglogic.com/the-sieve-of-eratosthenes-implemented-in-c/
http://primes.utm.edu/glossary/xpage/sieveoferatosthenes.html
http://www.cut-the-knot.org/Curriculum/Arithmetic/Eratosthenes.shtml


iSphinx
open class iSphinx: iRecognizerDelegete
Undocumented
-
Set the delegete from your class.
Declaration
Swift
open var delegete: iSphinxDelegete!
-
Undocumented
Declaration
Swift
public init()
-
Start speech recognition without timeout.
Declaration
Swift
open func startISphinx()
-
Start speech recognition with timeout.
Declaration
Swift
open func startISphinx(timeoutInSec: Int)
-
Prepare iSphinx with default acoustic model and dictionary. You need to set the language model with other method.
Declaration
Swift
open func prepareISphinx(onPreExecute: @escaping(_ config: Config) -> (), onPostExecute: @escaping(_ isSuccess: Bool) -> ())
-
Prepare iSphinx with custom setting. You can add your own language model, acoustic model and dictionary. Set aModelPath or dictFile to nil if you want to use the default file.
Declaration
Swift
open func prepareISphinx(lmFile: String, aModelPath: String?, dictFile: String?, onPreExecute: @escaping(_ config: Config) -> (), onPostExecute: @escaping(_ isSuccess: Bool) -> ())
-
Prepare iSphinx with custom setting. You can add your own acoustic model and dictionary. Set dictFile to nil if you want to use the default file.
Declaration
Swift
open func prepareISphinx(aModelPath: String, dictFile: String?, onPreExecute: @escaping(_ config: Config) -> (), onPostExecute: @escaping(_ isSuccess: Bool) -> ())
-
Get the dictionary path with words from array string.
Declaration
Swift
open func getDictionary(words: [String]) -> String
-
Get the language model path with words from array string.
Declaration
Swift
open func getNGramModel(words: [String]) -> NGramModel
-
Update language model from a string. oovWords is word disturber so if the user says a word from oovWords the hypothesis will be ???. This function will repleace old language model already set.
Declaration
Swift
open func updateVocabulary(text: String, oovWords: [String], completion: @escaping() -> ())
-
Update language model from an array string. oovWords is word disturber so if the user says a word from oovWords the hypothesis will be ???. This function will repleace old language model already set.
Declaration
Swift
open func updateVocabulary(words: [String], oovWords: [String], completion: @escaping() -> ())
-
Update JSGF grammar from a string. oogWords is word disturber so if the user says a word from oogWords the hypothesis will be ???. This function will repleace old JSGF grammar already set.
Declaration
Swift
open func updateGrammar(text: String, oogWords: [String], completion: @escaping() -> ())
-
Update JSGF grammar from a file. Set nil the dictFile if you sure already set the dictionary before. This function will repleace old JSGF grammar already set.
Declaration
Swift
open func updateGrammar(file: String, dictFile: String?, completion: @escaping() -> ())
-
Update language model from a file. Set nil the dictFile if you sure already set the dictionary before. This function will repleace old language model already set.
Declaration
Swift
open func updateLanguageModel(file: String, dictFile: String?, completion: @escaping() -> ())
-
Get the decoder.
Declaration
Swift
open func getDecoder() -> Decoder
-
Get the recognizer class.
Declaration
Swift
open func getRecognizer() -> iRecognizer
-
Get the recorder class. You can control audio record from this class.
Declaration
Swift
open func getRecorder() -> iSphinxRecorder
-
Set the silent to detect in seconds. Silent to detect is delaying before speech considered as silent.
Declaration
Swift
open func setSilentToDetect(seconds: Float)
-
Get the silent to detect in seconds.
Declaration
Swift
open func getSilentToDetect() -> Float


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from PythonClientAPI.Game.Enums import MoveType, Team, Direction
from PythonClientAPI.Game.PointUtils import *
class Entity:
def __init__(self, position):
self.position = position
def __eq__(self, other):
return (isinstance(other, self.__class__) and self.position == other.position)
def __ne__(self, other):
return not self.__eq__(other)
[docs]class Tile(Entity):
"""
Represents a colour-changing tile on the board.
:ivar (int,int) position: tile's position
"""
def __init__(self, position, team, permanent):
self.position = position
self._team = team
self._permanent = permanent
[docs] def is_permanently_owned(self):
"""
:return: True iff Tile is permanently owned
:rtype: bool
"""
return self._permanent
[docs] def is_friendly(self):
"""
:return: True iff Tile is owned by your team
:rtype: bool
"""
return self._team == Team.FRIENDLY
[docs] def is_enemy(self):
"""
:return: True iff Tile is owned by the enemy team
:rtype: bool
"""
return self._team == Team.ENEMY
[docs] def is_neutral(self):
"""
:return: True iff Tile is not yet owned by any team
:rtype: bool
"""
return self._team == Team.NEUTRAL
def __hash__(self):
return 31 + self.position[0] * 31 + self.position[1];
def __repr__(self):
return "{} TILE: {}".format(self._team.name, self.position)
class Unit(Entity):
def __init__(self, team, uuid, health, position):
self.uuid = uuid
self.health = health
self.position = position
self.team = team
def __hash__(self):
return hash(self.team) * 31 + hash(self.uuid)
def __repr__(self):
if self.is_friendly():
return str(self.uuid)
else:
return str(self.uuid)
def __lt__(self, other):
return self.health < other.health
def __le__(self, other):
return self.health <= other.health
def __eq__(self, other):
return isinstance(other, self.__class__) and self.uuid == other.uuid
def __ne__(self, other):
return not (self == other)
def __gt__(self, other):
return self.health > other.health
def __ge__(self, other):
return self.health >= other.health
def is_friendly(self):
return NotImplementedError()
[docs]class FriendlyUnit(Unit):
"""
Represents a friendly unit.
:ivar str uuid: unique uuid for this unit
:ivar int health: health point
:ivar (int,int) position: unit position
:ivar MoveResult last_move_result: last move result
"""
def __init__(self, team, uuid, health, position, last_move_result, merged_units_uuid):
super().__init__(team, uuid, health, position)
self.last_move_result = last_move_result
self._next_move_target = None
self._next_move_type = None
self._merged_units_uuid = set(merged_units_uuid)
[docs] def get_next_move_target(self):
"""
:return: next move target assigned for this turn
:rtype: (int, int)
"""
return self._next_move_target
[docs] def get_next_move_type(self):
"""
:return: next move type assigned for this turn
:rtype: MoveType
"""
return self._next_move_type
[docs] def is_merged_with_unit(self, uuid):
"""
:param str uuid: uuid of merged unit
:return: True if a unit with uuid was merged into this FriendlyUnit
:rtype: bool
"""
return uuid in self._merged_units_uuid
def is_friendly(self):
return True
[docs]class EnemyUnit(Unit):
"""
Represents an enemy unit.
:ivar str uuid: unique uuid for this unit
:ivar int health: health point
:ivar (int,int) position: unit position
"""
def __init__(self, team, uuid, health, position):
super().__init__(team, uuid, health, position)
def is_friendly(self):
return False


{% extends 'casestudy/base.html' %} {% load static from staticfiles %} {% block head_title %}FreestyleXtreme case study - great.gov.uk{% endblock %} {% block quote_one_text %} Considering we are selling niche products to a small market, we never could have imagined achieving these types of sales. {% endblock %} {% block quote_one_name %} Shaun Loughlin {% endblock %} {% block quote_one_job_title %} Founder {% endblock %} {% block quote_one_link %} FreestyleXtreme {% endblock %} {% block main_content %}
FreestyleXtreme began selling online on eBay in 2011. It went so well the company quickly opened stores on the site in several countries through eBay’s cross-border programme. Today they sell on all 15 of Amazon’s international marketplaces.
Online marketplaces have allowed FreestyleXtreme to become a successful exporter. It’s now a thriving business with a projected annual turnover of £17 million.
The Department for International Trade helped FreestyleXtreme set up a local cooperative to reduce international shipping costs. The cooperative, called Parcel Rate Experts, brought together local online retailers to get competitive shipping rates and solve one of their main barriers to exporting.
{% endblock %} {% block quote_two_text %} E-marketplaces show you where there is overseas demand for your product. {% endblock %} {% block quote_two_name %} Shaun Loughlin {% endblock %} {% block quote_two_job_title %} Founder {% endblock %} {% block quote_two_link %} FreestyleXtreme {% endblock %}


| CS 216 - Data Structures
Homework #6 |
NOTE: This work is to be done in pairs.
In these exercises, you will add to the Binary Search Tree implementation we developed together in class. Although you may discuss your algorithms for these problems, your actual implementation must be completed independently.
1. Range: Implement a method public ArrayList<E> getRange(E min, E max) that, given a minimum value min and a maximum value max, returns a sorted list of all (possibly repeated) values in the binary search tree in the range [min, max]. You may assume that min <= max. Your implementation should traverse a minimal subtree as you build the list.
Write stochastic test code that adds n random values from 0 to m-1 to an empty BinarySearchTree<Integer>, prints the tree, calls getRange on a random range of these values, and prints the returned list. Choose values of m and n (e.g. 10 and 20) such that you're likely to have both missing and repeated values.
2. Iterable: Augment your BinarySearchTree<E> so that it now implements Iterable<E>. This implies that you will also implement an Iterator<E> class. This Iterator<E> should be strictly implemented (including exceptions) and should have a functional remove method. Read the Java documentation thoroughly. A correct implementation will allow you to use the enhanced for-loop (a.k.a. "for-each" loop) with your binary search tree.
Hint: Add an inner class BSTIterator implements Iterator<E> that will have full access to the tree's fields. This inner class would benefit from having fields:
For your stochastic test code, generate a random tree as in the first exercise, print it using our toString() method, and print the values using a for-each loop. Then get an Iterator<E> from the tree and, using all three Iterator methods, remove either all odd values or all even values and print the values again using a for-each loop.


Last updated: 2018-12-05
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 7ec59a2 | ohofmann | 2018-11-30 | Change file linking section to adjust for new bcl2fastq output format |
| Rmd | 421d9de | ohofmann | 2018-11-14 | Merge branch ‘master’ of github.com:umccr/google_lims |
| Rmd | e96df97 | ohofmann | 2018-11-14 | Support for topup samples |
| Rmd | 60460df | ohofmann | 2018-11-14 | Added support for topup samples following naming convention |
| Rmd | fcc4524 | pdiakumis | 2018-10-12 | bcbio-merge alternative command |
| Rmd | a005cad | ohofmann | 2018-09-11 | Fixed empty secondary analysis condition |
| Rmd | 185314e | ohofmann | 2018-09-06 | Merge branch ‘master’ of github.com:umccr/google_lims |
| Rmd | afc8431 | ohofmann | 2018-09-06 | Testing secondary analysis flag for WTS data |
| Rmd | 9679c1f | pdiakumis | 2018-09-05 | add umccrise AWS setup info |
| Rmd | 4313864 | ohofmann | 2018-09-04 |
Added support for a secondary_analysis flag to pull out samples across projects
|
| Rmd | 3ecf84b | ohofmann | 2018-08-31 | Detailed post-processing steps |
| Rmd | ac55b48 | ohofmann | 2018-08-28 | Merge branch ‘master’ of github.com:umccr/google_lims |
| Rmd | 19754c7 | Oliver Hofmann | 2018-08-28 | Merge pull request #1 from umccr/peter1 |
| Rmd | 6fc60cf | pdiakumis | 2018-08-27 | create backup dir, paste0 for short, spacing, minor typos |
| Rmd | 4d4b533 | ohofmann | 2018-08-27 | Added pointers for Google authentication. |
| Rmd | 4ecc6a8 | ohofmann | 2018-08-27 | Fixed timestamp for WTS |
| html | 41f6fe1 | ohofmann | 2018-08-17 | Build site. |
| Rmd | 16a24e2 | ohofmann | 2018-08-14 | Added knitted output |
| html | 16a24e2 | ohofmann | 2018-08-14 | Added knitted output |
| Rmd | 7d4738d | ohofmann | 2018-08-14 | Added instructions on how to set up bcbio configs |
| Rmd | a9a71b5 | ohofmann | 2018-08-08 | Added support for WTS configs |
| Rmd | 978bdde | ohofmann | 2018-08-07 |
Default to eval=FALSE
|
| html | 978bdde | ohofmann | 2018-08-07 |
Default to eval=FALSE
|
| Rmd | 2d7da7d | ohofmann | 2018-08-07 | Added suport for GS backups, positive/negative WGS controls |
| Rmd | 2668914 | ohofmann | 2018-08-07 | Added rsync and bcbio sample sheet generator |
Code snippets to generate file summaries (for rsync’ing around) and bcbio sample summaries based on a Google Spreadsheet, aka the dreadful LIMS stand-in.
The process is currently manual, i.e., run code block by code block in RStudio as we are still trying to sort out edge cases. It is also useful being able to inspect the data frames listing files, phenotypes and batches before kicking off a bcbio run. A typical workflow includes the steps below.
This currently requires specifying both project name and the type of sequencing data (WGS
, WTS
, 10X-WGS
, etc.) and will pull out all files of that type and project which do not have results associated with them yet. This should be generalized at some point to support sample extraction by Illumina RunID or by patient ID. The exact names can be copied from the Project
and Type
columns of the Google-LIMS sheet.
The Googlesheets framework requires authentication with oAuth. This can be done interactive, but storing a token simplifies the process; see the googlesheet authentication vignette for details.
An alternative use is to set the “secondary” analysis flag to match the samples that need to be processed, regardless of processing status. The PROJECT
name will be used to name config and sample files, but any sample with the matching SECONDARY
entry in the secondary analysis
column of the spreadsheet will be added as long as it is of the right TYPE
. This is useful when re-processing samples for research projects.
PROJECT <- 'Avner'
TYPE <- 'WGS'
SECONDARY <- ''
This step generates a data frame from the Google spreadsheet, unifying variable names and simplifying subject IDs for bcbio along the way. It replacesg empty results
cells (which indicate samples that still need processing) with a -
to distinguish from true NAs and gets rid of whitespace in subject identifiers. Otherwise standard data cleanup with janitor
. We are also creating a timestamped backup of the Google Doc each time it is accessed, just in case.
# Register UMCCR spreadsheet. Use cached authentication
gs_auth(token = "./googlesheets_token.rds") # plain gs_auth() writes .httr-oauth to workdir, then all is good
samples_gs <- gs_key('1DwvyfVrgr5TIcYtGVXZeIWWRbld-nuX-4o4z2kZHNWs')
# Create a backup copy each time we access the sample info
tm <- as.POSIXlt(Sys.time(), "UTC", "%Y-%m-%dT%H:%M:%S")
timestamp <- strftime(tm , "%Y-%m-%dT%H%M")
filename <- paste(timestamp, 'backup.csv', sep = '_')
backup_dir <- file.path(here::here('output', 'backup'))
dir.create(backup_dir, recursive = TRUE) # mkdir -p (warns if it already exists):
samples_gs %>%
gs_download(ws = 'Sheet1', to = file.path(backup_dir, filename))
# Tweak for analysis
samples <- samples_gs %>%
gs_read(ws = 'Sheet1') %>%
clean_names() %>%
mutate(secondary_analysis = ifelse(is.na(secondary_analysis), '-', secondary_analysis)) %>%
remove_empty(c('rows', 'cols')) %>%
mutate(subject_id = gsub(' ', '.', subject_id)) %>%
mutate(results = ifelse(is.na(results), '-', results))
Find all FASTQs for samples that still need to be processed. The generated output file can be used on Spartan to generate (hard)links ready for rsync
to NCI or aws s3 cp
to, well, S3. It also generates ‘better’ sample names by renaming the FASTQ files from the filename to the sample name.
# Keep rows matching project and type requested; extract path to FASTQ
# and generate new file name for these
bcbio <- samples %>%
filter(type == TYPE &
((project == PROJECT & results == '-') |
(secondary_analysis == SECONDARY))) %>%
select(fastq, run, project, sample_id, sample_name, subject_id, phenotype) %>%
mutate(runname = basename(fastq)) %>%
mutate(targetname = paste(runname, sample_name, sep = '_')) %>%
mutate(targetname = str_replace_all(targetname, '-', '_'))
# Create a file list ready for linking
#
# With Run 81 the file structure from `bcl2fastq` changed. FASTQs are no
# longer round in the top level run folder, but in
# ```<Illumina_ID>/<Project>/<SampleName>/<SampleID>_R1_001.fastq.gz```
read1 <- bcbio %>%
mutate(from = ifelse(run<= 80,
paste0(fastq, '/', sample_id, '_R1_001.fastq.gz'),
paste0(fastq, '/', project, '/', sample_name, '/', sample_id, '_R1_001.fastq.gz'))) %>%
mutate(to = paste0(targetname, '_R1_001.fastq.gz')) %>%
select(from, to)
read2 <- bcbio %>%
mutate(from = ifelse(run<= 80,
paste0(fastq, '/', sample_id, '_R2_001.fastq.gz'),
paste0(fastq, '/', project, '/', sample_name, '/', sample_id, '_R2_001.fastq.gz'))) %>%
mutate(to = paste0(targetname, '_R2_001.fastq.gz')) %>%
select(from, to)
link <- rbind(read1, read2)
# Write the file list for linking on Spartan
# ** Not sure if a `.sh` extension would make it clearer.
write.table(paste('ln', link$from, link$to, sep = ' '),
file = here::here('output', paste0(timestamp, '_', PROJECT, '_', TYPE, '_files.txt')),
col.names = FALSE,
row.names = FALSE,
quote = FALSE)
Generate a .csv
sample descriptor, assigning patient/family identifiers for Peddy, assigning batches based on the subject id, and pairing tumor/normals as needed. Samples with the exact same name (but from different runs) are expected to be top-ups and will subsequently be merged using bcbio_prepare_samples.py
.
# Use the same information to generate the bcbio CSV file
# Keep the required columns and add information for peddy
template <- bcbio %>%
mutate(family_id = subject_id) %>%
mutate(individual_id = subject_id) %>%
select(samplename = targetname,
description = sample_name,
batch = subject_id,
phenotype, family_id, individual_id)
# Handle cases where a normal matches more than one tumor sample.
# Courtesy of [Peter Diakumis](https://github.com/pdiakumis)
get_new_batch <- function(batch, phenotype) {
stopifnot(length(batch) == length(phenotype))
n <- length(batch)
new_batch <- vector(mode = "character", length = n)
x <- table(phenotype)
if (n > 2) {
tum_ns <- seq_len(x["tumor"])
new_batch[phenotype == "tumor"] <- paste0(batch[phenotype == "tumor"], '_', tum_ns)
# assume only one normal for now
new_batch[phenotype == "normal"] <- paste0(batch[phenotype == "tumor"], '_', tum_ns, collapse = ";")
} else {
new_batch <- batch
}
return(new_batch)
}
# Remove top-up samples (samples with the exact same description)
# before calculating batch assignments. We'll add them back in later.
# This assumes topups are consistently flagged with a `_topup`
# suffix
template <- template %>%
mutate(description = str_replace(description, '_topup', ''))
# Only keep one sample row for samples that _do_ have topups
unique_samples <- template %>%
group_by(description) %>%
filter(row_number(description) == 1)
# Create batch information
batches <- unique_samples %>%
group_by(batch) %>%
mutate(new_batch = get_new_batch(batch, phenotype))
# Bring back the batch information to the main template
template <- template %>%
left_join(batches, by = c('description')) %>%
select(samplename = samplename.x,
description,
batch = new_batch,
phenotype = phenotype.x,
family_id = family_id.x,
individual_id = individual_id.x)
# Since we are merging add the R1/R2 readpair information. Could probably
# be more elegant...
template_R1 <- template %>% mutate(samplename = paste0(samplename, '_R1_001.fastq.gz'))
template_R2 <- template %>% mutate(samplename = paste0(samplename, '_R2_001.fastq.gz'))
template <- rbind(template_R1, template_R2)
write.table(template,
file = here::here('output', paste0(timestamp, '_', PROJECT, '_', TYPE, '.csv')),
row.names = FALSE,
col.names = TRUE,
quote = FALSE,
sep = ',')
Assuming a run on Spartan:
data
subdirectory (mkdir -p /data/cephfs/punim0010/projects/<myproject>/data; cd /data/cephfs/punim0010/projects/<myproject>/data
)scp TIMESTAMP_PROJECT* spartan:/data/cephfs/punim0010/projects/<myproject>/data
)sh TIMESTAMP_PROJECT_files.txt
)This should result in all required FASTQ files being present in the current data directories. Errors usually mean permissions need to be updated, or the sample name is incorrectly captured in the spreadsheet. The next step merges FASTQ files where necessary and generates the final sample manifest for bcbio:
cp /data/cephfs/punim0010/projects/std_workflow/merge.sh .
) and edit the --csv
flag to use the generated sample sheet (TIMESTAMP_PROJECT_files.csv
)sbatch merge.sh
)NOTE: if the scheduler above doesn’t work for some reason, you can just connect to an interactive session and simply run:
bcbio_prepare_samples.py --out merged --csv 2018-10-10T2348_Tothill-Research_WGS.csv -n32 # I don't think you really need 32 cores; just go with as many FASTQs you have
This will result in a new merged
CSV alongside our standard template:
mv *-merged.csv ..; cd ..
bcbio_nextgen.py -w template ../std_workflow/std_workflow_cancer.yaml TIMESTAMP_PROJECT-merged.csv data/merged/*.gz
cp ../std_workflow/run.sh TIMESTAMP_PROJECT-merged/work; cd TIMESTAMP_PROJECT-merged/work
Edit the run.sh
job submission script to point at the newly generated bcbio YAML template and you should be good to go with sbatch run.sh
.
The easiest way to follow the progress of a run is with a less +F log/bcbio-nextgen-debug.log
; if this gets too much just following the commands log in the same directory would also do the trick.
Once the bcbio run finishes, you need to run the umccrise
post-processing script. Make sure you follow the directions in the wiki for setting up your AWS credentials, in order to upload mini-BAM files to AWS for IGV viewing.
Starting from the work
directory where run.sh
is placed:
cd ..
source /g/data3/gx8/extras/umccrise/load_umccrise.sh
export AWS_PROFILE=umccr
umccrise . -j 16 --cluster-auto` # by default outputs to 'umccrised'
## or use `umccrise /path/to/bcbio/final -j 16 --cluster-auto -o umccrised_alternative_name`
cd ..;
source /data/cephfs/punim0010/extras/umccrise/load_umccrise.sh
export AWS_PROFILE=umccr
umccrise . -j 16 --cluster-auto` # by default outputs to 'umccrised'
## or use `umccrise /path/to/bcbio/final -j 16 --cluster-auto -o umccrised_alternative_name`
The post-processing will take about an hour per sample, mostly due to creating mini-BAM files from the full BAMs.
Our current data archive resides on Spartan, although most of the processed data is now also on AWS S3. For now the process still is:
/data/cephfs/punim0010/data/Results
PROJECTDIR
if it does not exist, using the project name listed in the google-lims spreadsheet; it should match the project name that has been used to process the samplescd PROJECTDIR
and create a timestamp matching the timestamp of bcbio’s final
directory. E.g., if a ls final
includes 2018-08-11_2018-07-31T0005_Tothill-A5_WGS-merged
create a directory 2018-08-11
final
, config
and umccrised
directories into the newly created timestamp directory
work
directory.data
subdirectory.Results
column of the Google Docs spreadsheetPositive controls use a slightly different template (and only require germline calls); we also do not merge files prior to processing. We do add a timestamp to the batch based on the Illumina Run Identifier to be abe to sort / filter by time of the run in MultiQC and define the gold standard / benchmarkfiles to use for rtg eval
:
# Define what validation data to use; all of these are
# shipped with bcbio so we don't have to prep standards
validations <- c('giab-NA12878', 'giab-NA24385', 'giab-NA24631')
names(validations) <- c('NA12878', 'NA24385', 'NA24631')
# rsync command as before
bcbio <- samples %>%
filter(project == 'Positive-control' &
type == 'WGS' &
results == '-') %>%
mutate(targetname = paste(illumina_id, sample_name, sep='_')) %>%
select(fastq, sample_id, sample_name, targetname, subject_id, phenotype)
# Create a file list ready for linking
read1 <- bcbio %>%
mutate(from = paste(fastq, '/', sample_id, '_R1_001.fastq.gz', sep='')) %>%
mutate(to = paste(targetname, '_R1_001.fastq.gz', sep='')) %>%
select(from, to)
read2 <- bcbio %>%
mutate(from = paste(fastq, '/', sample_id, '_R2_001.fastq.gz', sep='')) %>%
mutate(to = paste(targetname, '_R2_001.fastq.gz', sep='')) %>%
select(from, to)
link <- rbind(read1, read2)
# Write the file list for linking
write.table(paste('ln', link$from, link$to, sep=' '),
file=here::here('output', paste(timestamp, '_posControl_files.txt', sep='')),
col.names=FALSE,
row.names=FALSE,
quote=FALSE)
# As before, generate bcbio CSV. Simpler process here.
template <- bcbio %>%
mutate(family_id=subject_id) %>%
mutate(individual_id=subject_id) %>%
select(samplename=targetname,
batch=subject_id,
phenotype, family_id, individual_id)
# Add timestamp to description, batch
template <- template %>%
separate(samplename, c('timestamp', 'machine', 'run'),
sep='_', extra="drop",
remove=FALSE) %>%
mutate(description=paste(timestamp, machine, run, batch, sep='-')) %>%
mutate(batch=paste('batch', timestamp, machine, run, batch, sep='-')) %>%
select(samplename, description, batch, phenotype,
family_id, individual_id)
# Add the validation information
template <- template %>%
mutate(validate=paste(validations[individual_id],
'truth_small_variants.vcf.gz', sep='/')) %>%
mutate(validate_regions=paste(validations[individual_id],
'truth_regions.bed', sep='/')) %>%
mutate(validate_batch=individual_id)
write.table(template,
file=here::here('output', paste(timestamp, '_posControl.csv', sep='')),
row.names=FALSE,
col.names=TRUE,
quote=FALSE,
sep=',')
For negative controls we only need to collect all relevant files in one place (hardlinks again) and check the results with find . -type f -size +500M -exec ls -sh {} \; 2> /dev/null
.
# rsync command as before
bcbio <- samples %>%
filter(project == 'Negative-control') %>%
mutate(targetname = paste(illumina_id, sample_name, sep='_')) %>%
select(fastq, sample_id, sample_name, targetname, subject_id, phenotype)
# Create a file list ready for linking
read1 <- bcbio %>%
mutate(from = paste(fastq, '/', sample_id, '_R1_001.fastq.gz', sep='')) %>%
mutate(to = paste(targetname, '_R1_001.fastq.gz', sep='')) %>%
select(from, to)
read2 <- bcbio %>%
mutate(from = paste(fastq, '/', sample_id, '_R2_001.fastq.gz', sep='')) %>%
mutate(to = paste(targetname, '_R2_001.fastq.gz', sep='')) %>%
select(from, to)
link <- rbind(read1, read2)
# Write the file list for linking
write.table(paste('ln', link$from, link$to, sep=' '),
file=here::here('output', paste(timestamp, '_negControl_files.txt', sep='')),
col.names=FALSE,
row.names=FALSE,
quote=FALSE)
For WTS samples the process is easier since we do not need to handle phenotypes or batch pairing:
# Use the same information to generate the bcbio CSV file
# Keep the required columns and add information for peddy
template <- bcbio %>%
mutate(family_id=subject_id) %>%
mutate(individual_id=subject_id) %>%
select(samplename=targetname,
description=sample_name,
batch=subject_id,
phenotype, family_id, individual_id)
# Since we are merging add the R1/R2 readpair information. Could probably
# be more elegant...
template_R1 <- template %>%
mutate(samplename = paste(samplename, '_R1_001.fastq.gz', sep=''))
template_R2 <- template %>%
mutate(samplename = paste(samplename, '_R2_001.fastq.gz', sep=''))
template <- rbind(template_R1, template_R2)
write.table(template,
file=here::here('output', paste(timestamp, '_',
PROJECT, '_',
TYPE, '.csv', sep='')),
row.names=FALSE,
col.names=TRUE,
quote=FALSE,
sep=',')
Different configuration for WTS controls – we do not validate against a benchmark / standard.
# rsync command as before
bcbio <- samples %>%
filter(project == 'Positive-control' &
type == 'WTS' &
results == '-') %>%
mutate(targetname = paste(illumina_id, sample_name, sep='_')) %>%
select(fastq, sample_id, sample_name, targetname, subject_id, phenotype)
# Create a file list ready for linking
read1 <- bcbio %>%
mutate(from = paste(fastq, '/', sample_id, '_R1_001.fastq.gz', sep='')) %>%
mutate(to = paste(targetname, '_R1_001.fastq.gz', sep='')) %>%
select(from, to)
read2 <- bcbio %>%
mutate(from = paste(fastq, '/', sample_id, '_R2_001.fastq.gz', sep='')) %>%
mutate(to = paste(targetname, '_R2_001.fastq.gz', sep='')) %>%
select(from, to)
link <- rbind(read1, read2)
# Write the file list for linking
write.table(paste('ln', link$from, link$to, sep=' '),
file=here::here('output', 'posControl_WTS_files.txt'),
col.names=FALSE,
row.names=FALSE,
quote=FALSE)
# As before, generate bcbio CSV. Simpler process here.
template <- bcbio %>%
mutate(family_id=subject_id) %>%
mutate(individual_id=subject_id) %>%
select(samplename=targetname,
batch=subject_id,
phenotype, family_id, individual_id)
# Add timestamp to description, batch
template <- template %>%
separate(samplename, c('timestamp', 'machine', 'run'),
sep='_', extra="drop",
remove=FALSE) %>%
mutate(description=paste(timestamp, machine, run, batch, sep='-')) %>%
mutate(batch=paste('batch', timestamp, machine, run, batch, sep='-')) %>%
select(samplename, description, batch, phenotype,
family_id, individual_id)
# Since we are merging add the R1/R2 readpair information. Could probably
# be more elegant...
template_R1 <- template %>%
mutate(samplename = paste(samplename, '_R1_001.fastq.gz', sep=''))
template_R2 <- template %>%
mutate(samplename = paste(samplename, '_R2_001.fastq.gz', sep=''))
template <- rbind(template_R1, template_R2)
write.table(template,
file=here::here('output', 'posControl_WTS.csv'),
row.names=FALSE,
col.names=TRUE,
quote=FALSE,
sep=',')
sessionInfo()
R version 3.5.0 (2018-04-23)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.6
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] skimr_1.0.3 here_0.1 googlesheets_0.3.0
[4] janitor_1.1.1 stringr_1.3.1 forcats_0.3.0
[7] readr_1.1.1 DT_0.4 dplyr_0.7.6
[10] rmarkdown_1.10 tidyr_0.8.1 knitr_1.20
[13] RColorBrewer_1.1-2 gtools_3.8.1 gridExtra_2.3
[16] scales_1.0.0 ggplot2_3.0.0
loaded via a namespace (and not attached):
[1] Rcpp_0.12.18 cellranger_1.1.0 compiler_3.5.0
[4] pillar_1.3.0 git2r_0.23.0 plyr_1.8.4
[7] workflowr_1.1.1 bindr_0.1.1 R.methodsS3_1.7.1
[10] R.utils_2.6.0 tools_3.5.0 digest_0.6.15
[13] evaluate_0.11 tibble_1.4.2 gtable_0.2.0
[16] pkgconfig_2.0.2 rlang_0.2.2 yaml_2.2.0
[19] bindrcpp_0.2.2 withr_2.1.2 hms_0.4.2
[22] htmlwidgets_1.2 rprojroot_1.3-2 grid_3.5.0
[25] tidyselect_0.2.4 glue_1.3.0 R6_2.2.2
[28] purrr_0.2.5 magrittr_1.5 whisker_0.3-2
[31] backports_1.1.2 htmltools_0.3.6 assertthat_0.2.0
[34] colorspace_1.3-2 stringi_1.2.4 lazyeval_0.2.1
[37] munsell_0.5.0 crayon_1.3.4 R.oo_1.22.0
This reproducible R Markdown analysis was created with workflowr 1.1.1


Turn off debugging information upon release. Scrutinize any error message or other data for any debug information that an attacker could use to leverage a further attack. Debugging data should be removed from any output that an attacker may have access to.
Attackers can use debug data to learn crucial information about your web application, which they can then use to leverage further attacks. Debug data may inform an attacker what modules your application is using, parameters which have been set, validation techniques in use, or a variety of other things. The attacker can use this information to research latent security bugs in those specific modules or to see how your application is handling certain input, which may allow them to bypass security modules such as encoding, encryption, authentication, etc.
The following entry in a web.config file will compile debug information into the final project.
<configuration>
<system.Web>
<compilation debug="true">
The following entry in a web.config file enables application tracing. Furthermore, it allows remote hosts to observe the application traces; therefore an attacker can retrieve the Trace.axd file in the application root directory and obtain internal information about the application.
<configuration>
<system.Web>
<trace enabled="true" localOnly="false" ... />
Before the web application is going to go live ensure the web.config file has been updated to not compile debug information into the final project, this will also increase performance. This means that the final project will not include any extra information that the attacker may be able to use in future attacks.
<configuration>
<system.Web>
<compilation debug="false">
The following entry in a web.config file enables application tracing. However, it allows only the local host to observe the application traces; therefore an attacker would have to compromise the local host in order to access the application traces.
<configuration>
<system.Web>
<trace enabled="true" localOnly="true" ... />
Adapted from Microsoft patterns & practices guidance.


OTHER PEOPLE'S MONEY A film review by Ken Johnson Copyright 1991 Ken Johnson
90 min, R, Comedy, 1991 Director: Norman Jewison Cast: Danny DeVito, Gregory Peck, Penelope Ann Miller, Piper Laurie
Danny DeVito owns a business that buys up businesses that are worth more money dead than alive. Then, after the business has been bought up, the company liquidates the business and makes money. DeVito sets his sights on a small company based in Rhode Island called New England Wire and Cable, which is making very little but could be worth a lot of money. When the owners of New England Wire and Cable find out what DeVito plans to do they hire lawyer Penelope Ann Miller to help save the business.
OTHER PEOPLE'S MONEY is rated R for explicit language, adult situations, and adult humor. I give OTHER PEOPLE'S MONEY a three on a zero to five scale. This film is not Danny DeVito's best film, but, it is not his worst. (His worst film, in my opinion, was a 1972 Italian film called LADY LIBERTY which was directed by Mario Manicelli.) I don't suggest seeing OTHER PEOPLE'S MONEY for full price but it is well worth seeing at a matinee price or you might want to wait until OTHER PEOPLE'S MONEY comes to video.
One of the two major problems with this film is that it tries to be a comedy while also trying to be a drama. In some cases this would work, but not totally in this film. The film tries to portray a serious message and then makes you laugh. What usually ends up happening is that people forget the message that they just heard. The other problem that I think hurt this film is that when an actor becomes a star, the film industry figures that anyone will go see the film. The film industry doesn't put as much money into writing the film as they maybe should hoping that the star can carry the film. That might be the case for this film.
Don't get me wrong, OTHER PEOPLE'S MONEY is a very funny film, it just could have been better. Danny DeVito is able to carry the film through the slow spots it hits and Penelope Ann Miller puts in a great performance.
The review above was posted to the
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


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Use PTV xServer with your favourite map widgets
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--- redirect_from: /docs/1.0.0-alpha.5/classes/ng2_directives.uisrefstatus.html ---
A directive (which pairs with a UiSref) and emits events when the UiSref status changes.
This directive is used by the UiSrefActive directive.
The event emitted is of type SrefStatus, and has boolean values for active, exact, entering, and exiting
active
exact
entering
exiting
The values from this event can be captured and stored on a component, then applied (perhaps using ngClass).
This API is subject to change.
Generated using TypeDoc
A directive (which pairs with a UiSref) and emits events when the UiSref status changes.
This directive is used by the UiSrefActive directive.
The event emitted is of type SrefStatus, and has boolean values for
active
,exact
,entering
, andexiting
The values from this event can be captured and stored on a component, then applied (perhaps using ngClass).
This API is subject to change.