The Buffer class represents the buffer module in the GenTL module hierarchy.
More...
#include <IpxCameraApi.h>
|
| virtual | ~Buffer () |
| | Buffer class destructor. More...
|
| |
| virtual IpxImage * | GetImage ()=0 |
| | Returns the pointer to the IpxImage structure. More...
|
| |
| virtual void * | GetBufferPtr ()=0 |
| | Returns the pointer to the image data. More...
|
| |
| virtual size_t | GetImageOffset ()=0 |
| | Returns the offset of the actual image data start. More...
|
| |
| virtual size_t | GetBufferSize ()=0 |
| | This method returns the size of the allocated memory buffer in bytes. More...
|
| |
| virtual uint64_t | GetPixelFormat ()=0 |
| | This method returns the pixel format of the buffer object. More...
|
| |
| virtual void * | GetUserPtr ()=0 |
| | This method returns the user data buffer pointer, associated with the buffer object. More...
|
| |
| virtual uint64_t | GetTimestamp ()=0 |
| | This method returns the timestamp of the acquired buffer. More...
|
| |
| virtual uint64_t | GetFrameID ()=0 |
| | This method returns the identificator of the image stream block of the buffer object. More...
|
| |
| virtual bool | IsIncomplete ()=0 |
| | This method returns a flag indicating if the buffer data has been fully transferred or incompleted. More...
|
| |
| virtual size_t | GetWidth ()=0 |
| | Returns the image width. More...
|
| |
| virtual size_t | GetHeight ()=0 |
| | Returns the image height. More...
|
| |
| virtual size_t | GetXOffset ()=0 |
| | Returns the horizontal offset of the image data in the buffer. More...
|
| |
| virtual size_t | GetYOffset ()=0 |
| | Returns the vertical offset of the image data in the buffer. More...
|
| |
| virtual size_t | GetXPadding ()=0 |
| | This method returns the number of extra bytes padded in the horizontal direction. More...
|
| |
| virtual size_t | GetYPadding ()=0 |
| | This method returns the number of extra bytes padded in the vertical direction. More...
|
| |
| virtual size_t | GetDeliveredHeight ()=0 |
| | This method returns the actual height of delivered data. More...
|
| |
| virtual bool | IsKacFrameB ()=0 |
| | This method indicates if this buffer is Frame A or Frame B, acquired from Cheetah camera with KAC-12040 or KAC-06040 CMOS sensor. More...
|
| |
The Buffer class represents the buffer module in the GenTL module hierarchy.
The Buffer class contains the methods that can be used to get the pointer to the acquired image data memory and / or retrieve the information about the received image data such as timestamp, image size, pixel format, etc
◆ ~Buffer()
| virtual IpxCam::Buffer::~Buffer |
( |
| ) |
|
|
inlinevirtual |
Buffer class destructor.
Destroys the Buffer object and all its descendants.
- Returns
- none
◆ GetImage()
| virtual IpxImage* IpxCam::Buffer::GetImage |
( |
| ) |
|
|
pure virtual |
Returns the pointer to the IpxImage structure.
This method returns the pointer to the IpxImage structure. See IpxTools user's manual for IpxImage structure description.
- Returns
- Returns the pointer to the IpxImage structure.
◆ GetBufferPtr()
| virtual void* IpxCam::Buffer::GetBufferPtr |
( |
| ) |
|
|
pure virtual |
Returns the pointer to the image data.
This method returns the pointer to the memory of the acquired image data.
- Returns
- Returns the pointer to the image data
◆ GetImageOffset()
| virtual size_t IpxCam::Buffer::GetImageOffset |
( |
| ) |
|
|
pure virtual |
Returns the offset of the actual image data start.
This method returns the offset of the actual image data start in the acquired data buffer memory.
- Returns
- Returns the offset of the actual image data start
◆ GetBufferSize()
| virtual size_t IpxCam::Buffer::GetBufferSize |
( |
| ) |
|
|
pure virtual |
This method returns the size of the allocated memory buffer in bytes.
- Returns
- Returns the buffer size in bytes
◆ GetPixelFormat()
| virtual uint64_t IpxCam::Buffer::GetPixelFormat |
( |
| ) |
|
|
pure virtual |
This method returns the pixel format of the buffer object.
- Returns
- Returns the pixel format of the image in the buffer object. This value equals to PixeFormat GenICam parameter
◆ GetUserPtr()
| virtual void* IpxCam::Buffer::GetUserPtr |
( |
| ) |
|
|
pure virtual |
This method returns the user data buffer pointer, associated with the buffer object.
- Returns
- Returns the user data buffer pointer
◆ GetTimestamp()
| virtual uint64_t IpxCam::Buffer::GetTimestamp |
( |
| ) |
|
|
pure virtual |
This method returns the timestamp of the acquired buffer.
This method returns the timestamp of the acquired buffer. Imperx USB3 and GEV cameras have 10ns timestamp granularity. GEV cameras timestamp clock frequency can be obtained from GevTimestampTickFrequency GenICam parameter
- Returns
- Returns the timestamp of the acquired buffer.
◆ GetFrameID()
| virtual uint64_t IpxCam::Buffer::GetFrameID |
( |
| ) |
|
|
pure virtual |
This method returns the identificator of the image stream block of the buffer object.
- Returns
- Returns the identificator of the image stream block of the buffer object.
◆ IsIncomplete()
| virtual bool IpxCam::Buffer::IsIncomplete |
( |
| ) |
|
|
pure virtual |
This method returns a flag indicating if the buffer data has been fully transferred or incompleted.
- Returns
- Returns True, if buffer transfer was incompleted, False, if transfer was successful
◆ GetWidth()
| virtual size_t IpxCam::Buffer::GetWidth |
( |
| ) |
|
|
pure virtual |
Returns the image width.
This method returns the image width of the buffer data in number of pixels. Usually the return value equals to Width GenICam parameter value
- Returns
- Returns the image width
◆ GetHeight()
| virtual size_t IpxCam::Buffer::GetHeight |
( |
| ) |
|
|
pure virtual |
Returns the image height.
This method returns the image height of the buffer data in number of lines. Usually the return value equals to Height GenICam parameter value
- Returns
- Returns the image height
◆ GetXOffset()
| virtual size_t IpxCam::Buffer::GetXOffset |
( |
| ) |
|
|
pure virtual |
Returns the horizontal offset of the image data in the buffer.
This method returns the horizontal offset of the image data in the buffer in number of pixels from the image origin. Usually the return value equals to OffsetX GenICam parameter value
- Returns
- Returns the horizontal offset in number of pixels
◆ GetYOffset()
| virtual size_t IpxCam::Buffer::GetYOffset |
( |
| ) |
|
|
pure virtual |
Returns the vertical offset of the image data in the buffer.
This method returns the vertical offset of the image data in the buffer in number of lines from the image origin. Usually the return value equals to OffsetY GenICam parameter value
- Returns
- Returns the vertical offset of the data in the buffer in number of lines from the image origin
◆ GetXPadding()
| virtual size_t IpxCam::Buffer::GetXPadding |
( |
| ) |
|
|
pure virtual |
This method returns the number of extra bytes padded in the horizontal direction.
- Returns
- Returns the XPadding of the data in the buffer in number of bytes
◆ GetYPadding()
| virtual size_t IpxCam::Buffer::GetYPadding |
( |
| ) |
|
|
pure virtual |
This method returns the number of extra bytes padded in the vertical direction.
- Returns
- Returns the YPadding of the data in the buffer in number of bytes
◆ GetDeliveredHeight()
| virtual size_t IpxCam::Buffer::GetDeliveredHeight |
( |
| ) |
|
|
pure virtual |
This method returns the actual height of delivered data.
This method returns the actual height of delivered data. Can be different than value returned by GetHeight() method, if image transfer was incompleted.
- Returns
- Returns the actual height of delivered data
◆ IsKacFrameB()
| virtual bool IpxCam::Buffer::IsKacFrameB |
( |
| ) |
|
|
pure virtual |
This method indicates if this buffer is Frame A or Frame B, acquired from Cheetah camera with KAC-12040 or KAC-06040 CMOS sensor.
- Returns
- Returns true for Frame B, false - otherwise
The documentation for this class was generated from the following file:


- calcblock(Block) - Method in class scheme.Scheme
-
Execution the actions needed to computation
the given Port, respectively computation of each formula
in this Block.
- calculateFormula(Scheme) - Method in class scheme.Formula
-
Execution the calculation of actual Formula.
- centerIfShould(Node) - Method in class sample.GUIConnection
-
- CharStack - Class in InfixToPostfix
-
Class contains the implementation of CharStack.
- CharStack() - Constructor for class InfixToPostfix.CharStack
-
Creates a new CharStack with the size
one hundred elements and set the head
of the CharStack on the begin.
- checkInitPorts(Block) - Method in class scheme.Scheme
-
Check the input ports of the given Block.
- clear() - Method in class InfixToPostfix.CharStack
-
Function set the CharStack to Empty.
- clear() - Method in class InfixToPostfix.DoubleStack
-
Function set the DoubleStack to Empty.
- ComputatingWrapper - Interface in InfixToPostfix
-
Class contains the implementation of Wrapper for
computation the Scheme and its Blocks.
- ComputationRealizator - Class in InfixToPostfix
-
Class contains the implementation of whole logic needed
to computating the mathematically expressions.
- ComputationRealizator() - Constructor for class InfixToPostfix.ComputationRealizator
-
Initializing and creating the needed attributes of this Class.
- computeAllScheme() - Method in class scheme.Scheme
-
Execution the calculation of the all Blocks in the Scheme.
- Connection - Class in scheme
-
Class contains the implementation of Connection, which are between
the two Blocks in the Scheme.
- Connection() - Constructor for class scheme.Connection
-
- connections - Variable in class scheme.Scheme
-
Vector of the Connections between the Blocks in the Scheme.
- Const - Static variable in class Grammar.GeneralGrammar.ExprLexer
-
- Const - Static variable in class Grammar.GeneralGrammar.ExprParser
-
- Const() - Method in class Grammar.GeneralGrammar.ExprParser.ExprContext
-
- Const - Static variable in class Grammar.NumericGrammar.NumExprLexer
-
- Const - Static variable in class Grammar.NumericGrammar.NumExprParser
-
- Const() - Method in class Grammar.NumericGrammar.NumExprParser.ExprContext
-
- createConnection(Port, Port) - Method in class scheme.Connection
-
Create the connection from the two blocks.
- createGenerator() - Method in class scheme.GenerateID
-
Create the new UniqueID Generator.


--- layout: post title: Even more Rails training from Relevance categories: [] author: admin published: true date: 2005-10-10 19:24:39.000000000 +01:00 ---
In case the public, scheduled training programs doesn’t fit your organization, consider Relevance for on-site appointments instead. Justin Gethland and team offers a wide range of packages. Including a 2-day Advanced Rails program.
Any other training offers out there we’ve missed?


Duis non lorem porta, eros sit amet, tempor sem. semper a tempus et.
| No | TEAM | P | W | D | PTS |
|---|---|---|---|---|---|
| 1 | Colombia | 38 | 26 | 9 | 3 |
| 2 | Brazil | 38 | 24 | 7 | 7 |
| 3 | Argentina | 38 | 22 | 9 | 7 |
| 4 | Japan | 38 | 20 | 10 | 8 |
| 5 | Senegal | 38 | 19 | 7 | 12 |
| 6 | Poland | 38 | 18 | 8 | 12 |
| 7 | Russia | 38 | 18 | 6 | 14 |
| 8 | Iran | 38 | 12 | 11 | 15 |
| 9 | Spain | 38 | 26 | 9 | 3 |
| 10 | France | 38 | 24 | 7 | 7 |
Lorem ipsum dolor sit amet, sit amet, consectetur adipisicing elit, elit, incididunt ut labore et dolore magna aliqua sit amet, consectetur adipisicing elit,
While familiar with fellow European nation France, Hareide admits that South American side Peru.Read More [+]
Our goal is very clear, it didn’t change after the draw. We should qualify for the knockout stage.Read More [+]
The outdoor exhibition on Manezhnaya Square comprises 11 figures that symbolise the main sites of interest.Read More [+]
Colombia play Japan on 19 June at the Mordovia Arena, where the piling and casting operations.Read More [+]


{% load static %}
IBMR
Home
(current)
Link
Dropdown
Action
Another action
Something else here
Disabled
Search


Creating your design from scratch with dedicated designers can be very expensive.Using Now UI Kit PRO you don't have to worry about customising the basic Bootstrap 4 design or its components.
It is built over Bootstrap 4, it's fully responsive and has all the benefits of the flexbox for the layout, grid system and components. This is a huge advantage when you work with columns.
Using Now UI Kit PRO you can create hundreds of components combinations within seconds and present them to your client. You just need to change some classes and colors.
You have
Free Unlimited Updates and
Premium Support on each package. You also have
30 days to request a refund if you're not happy with your purchase.
Read more about
licenses here
.


{% extends "base.html" %} {% load staticfiles i18n %} {% load render_bundle from webpack_loader %} {% block content %}
This site provides access to raw traffic stop data and tables for each police district in the state for stops conducted between October 1st, 2013 and September 30, 2015. New data will be posted as it is released.
Explore data tables»First enacted in 1999, Connecticut's anti-racial profiling law The Alvin W. Penn Racial Profiling Prohibition Act (Public Act 99-198) prohibits any law enforcement agency from stopping, detaining, or searching any motorist when the stop is motivated solely by considerations of the race, color, ethnicity, age, gender or sexual orientation (Connecticut General Statutes Sections 54-1l and 54-1m).
During the 2012 legislative and special sessions the Connecticut General Assembly made several changes to this law including a key provision which shifted responsibility for its implementation to the Office of Policy and Management in consultation with a newly established Racial Profiling Prohibition Advisory Board.
Get more information »


| Package | Description |
|---|---|
| opennlp.tools.namefind |
Package related to finding proper names and numeric amounts.
|
| opennlp.tools.util.featuregen |
This package contains classes for generating sequence features.
|
| Modifier and Type | Method and Description |
|---|---|
AdaptiveFeatureGenerator |
TokenNameFinderModel.createFeatureGenerators()
Deprecated.
use TokenNameFinderFactory.createFeatureGenerators instead!
|
AdaptiveFeatureGenerator |
TokenNameFinderFactory.createFeatureGenerators()
Creates the
AdaptiveFeatureGenerator . |
| Modifier and Type | Method and Description |
|---|---|
void |
NameContextGenerator.addFeatureGenerator(AdaptiveFeatureGenerator generator)
Adds a feature generator to this set of feature generators.
|
void |
DefaultNameContextGenerator.addFeatureGenerator(AdaptiveFeatureGenerator generator) |
static TokenNameFinderModel |
NameFinderME.train(String languageCode,
String type,
ObjectStream<NameSample> samples,
TrainingParameters trainParams,
AdaptiveFeatureGenerator generator,
Map<String,Object> resources)
Deprecated.
|
| Constructor and Description |
|---|
DefaultNameContextGenerator(AdaptiveFeatureGenerator... featureGenerators)
Creates a name context generator with the specified cache size.
|
NameFinderME(TokenNameFinderModel model,
AdaptiveFeatureGenerator generator,
int beamSize)
Deprecated.
the beam size is now configured during training time in the
trainer parameter file via beamSearch.beamSize
|
NameFinderME(TokenNameFinderModel model,
AdaptiveFeatureGenerator generator,
int beamSize,
SequenceValidator<String> sequenceValidator)
Deprecated.
the beam size is now configured during training time in the
trainer parameter file via beamSearch.beamSize
|
NameSampleSequenceStream(ObjectStream<NameSample> psi,
AdaptiveFeatureGenerator featureGen) |
NameSampleSequenceStream(ObjectStream<NameSample> psi,
AdaptiveFeatureGenerator featureGen,
boolean useOutcomes) |
| Modifier and Type | Class and Description |
|---|---|
class |
AdditionalContextFeatureGenerator
The
AdditionalContextFeatureGenerator generates the context from the passed
in additional context. |
class |
AggregatedFeatureGenerator
The
AggregatedFeatureGenerator aggregates a set of
AdaptiveFeatureGenerator s and calls them to generate the features. |
class |
BigramNameFeatureGenerator |
class |
BrownBigramFeatureGenerator
Generates Brown cluster features for token bigrams.
|
class |
BrownTokenClassFeatureGenerator
Generates Brown cluster features for current token and token class.
|
class |
BrownTokenFeatureGenerator
Generates Brown cluster features for current token.
|
class |
CachedFeatureGenerator
Caches features of the aggregated
AdaptiveFeatureGenerator s. |
class |
CharacterNgramFeatureGenerator
The
CharacterNgramFeatureGenerator uses character ngrams to
generate features about each token. |
class |
CustomFeatureGenerator |
class |
DictionaryFeatureGenerator
The
DictionaryFeatureGenerator uses the DictionaryNameFinder
to generated features for detected names based on the InSpanGenerator . |
class |
DocumentBeginFeatureGenerator |
class |
FastTokenClassFeatureGenerator
Deprecated.
Use
TokenClassFeatureGenerator instead! |
class |
FeatureGeneratorAdapter
This class provides empty implementations of some of the optional methods in
AdditionalContextFeatureGenerator to make implementing feature generators
easier. |
class |
InSpanGenerator
Generates features if the tokens are recognized by the provided
TokenNameFinder . |
class |
OutcomePriorFeatureGenerator
The definition feature maps the underlying distribution of outcomes.
|
class |
PrefixFeatureGenerator |
class |
PreviousMapFeatureGenerator
This
FeatureGeneratorAdapter generates features indicating the outcome associated with a previously occuring word. |
class |
PreviousTwoMapFeatureGenerator
This
FeatureGeneratorAdapter generates features indicating the outcome associated with two previously occuring words. |
class |
SentenceFeatureGenerator
This feature generator creates sentence begin and end features.
|
class |
SuffixFeatureGenerator |
class |
TokenClassFeatureGenerator
Generates features for different for the class of the token.
|
class |
TokenFeatureGenerator
Generates a feature which contains the token itself.
|
class |
TokenPatternFeatureGenerator
Partitions tokens into sub-tokens based on character classes and generates
class features for each of the sub-tokens and combinations of those sub-tokens.
|
class |
TrigramNameFeatureGenerator
Adds trigram features based on tokens and token classes.
|
class |
WindowFeatureGenerator
Generates previous and next features for a given
AdaptiveFeatureGenerator . |
class |
WordClusterFeatureGenerator |
| Modifier and Type | Method and Description |
|---|---|
static AdaptiveFeatureGenerator |
GeneratorFactory.create(InputStream xmlDescriptorIn,
FeatureGeneratorResourceProvider resourceManager)
Creates an
AdaptiveFeatureGenerator from an provided XML descriptor. |
AdaptiveFeatureGenerator |
FeatureGeneratorFactory.createFeatureGenerator(FeatureGeneratorResourceProvider resourceProvider)
Deprecated.
|
| Modifier and Type | Method and Description |
|---|---|
Collection<AdaptiveFeatureGenerator> |
AggregatedFeatureGenerator.getGenerators()
Retrieves a
Collections of all aggregated
AdaptiveFeatureGenerator s. |
| Constructor and Description |
|---|
AggregatedFeatureGenerator(AdaptiveFeatureGenerator... generators)
Initializes the current instance.
|
CachedFeatureGenerator(AdaptiveFeatureGenerator... generators) |
WindowFeatureGenerator(AdaptiveFeatureGenerator... generators)
Initializes the current instance with the given parameters.
|
WindowFeatureGenerator(AdaptiveFeatureGenerator generator)
Initializes the current instance.
|
WindowFeatureGenerator(AdaptiveFeatureGenerator generator,
int prevWindowSize,
int nextWindowSize)
Initializes the current instance with the given parameters.
|
WindowFeatureGenerator(int prevWindowSize,
int nextWindowSize,
AdaptiveFeatureGenerator... generators)
Initializes the current instance with the given parameters.
|
| Constructor and Description |
|---|
AggregatedFeatureGenerator(Collection<AdaptiveFeatureGenerator> generators) |
Copyright © 2015 The Apache Software Foundation. All rights reserved.


Seventh Week of RC
Day 2: Interview Prep
April 2, 2019
I spent most of today reading through Cracking the Coding Interview and doing practice problems. My brain hurts a little, but I feel more prepared for interviews, so that's good. One of the topics I feel less familiar with is bit manipulation, in part because I've never been asked about it in any previous interviews. Here's a helpful video that I watched about bit manipulation, which also features Gayle Laakman MacDowell, author of Cracking the Coding Interview.


SAC benchmarks
Overview
The SAC benchmarks measure how fast different SAC implementations parse CSS style sheets. The following software versions were used:
- Java: AdoptOpenJDK 15.
- JMH: 1.26.
- css4j: 1.2.
- Batik: 1.13.
- SteadyState CSSParser: 0.9.29.
The computer has an Intel® Core™ i5-1035G7 CPU and 8GB of RAM.
Please note that css4j 1.x versions are superseded, and later versions use NSAC 2.1 instead of SAC.
SAC benchmark
Measures the speed at which the SAC parser can process a sample style sheet (contains a subset of the HTML5 user agent's sheet, and then a mix of common style rules).
Given that in css4j 1.x you can choose your preferred SAC parser, this benchmark may be of help.
The results come from SACBenchmark.
Medium-large file (226 kB)
Numeric results (higher is better):
| Implementation | Score | Error | Unit |
|---|---|---|---|
| Css4j | 213.9596 | ±7.2496 | ops/s |
| Batik CSS | 371.5772 | ±2.0175 | ops/s |
| SS CSSParser | 6.7046 | ±0.0571 | ops/s |
Small file (13 kB)
Numeric results (higher is better):
| Implementation | Score | Error | Unit |
|---|---|---|---|
| Css4j | 3,767.20 | ±152.24 | ops/s |
| Batik CSS | 6,521.44 | ±51.31 | ops/s |
| SS CSSParser | 146.39 | ±1.05 | ops/s |
Analysis
Batik has the fastest SAC parser: 1.7 times the throughput of css4j's, 45-55 times faster than SS CSSParser (depending on the file size) although it only supports CSS2 (and not in full). Also, in other tests has shown bad error recovery, causing it to yield (bogus) faster benchmarks if (unsupported) CSS3 is found. On the other hand, the css4j's SAC parser supports more CSS than the other contenders and is still reasonably fast.
The css4j's SAC parser is recommended by this project to use with css4j's 1.x Object Model (it is the default parser). However, if your use case only requires simple level 2 selectors and values, and performance is the main consideration (like when CSS is used to specify the user interface of a Java application), Batik's parser could be adequate.
The SteadyState CSSParser is the slowest and, although has recently improved its support for level 3 values, unfortunately its implementation of calc()
has some quirks
and is incompatible with css4j 1.x.


Make a donation
Just £94 enables a student to complete one of our programs and get a step closer to their dreams.
This year we’ve trained 65 young refugees and will enrol 100 more.
Your donation
We’re a charity and non-governmental organisation, every donation enables us to help train more future leaders.
- 90% Programmes
- 10% Operational costs
Over 90% of donations go to programmes that support refugees, paying for staff to run workshops, local teachers, learning facilities and transport so students can study safely. 10% is used to pay our operational costs.
We’ve helped more than 100 students so far this year
Donation tiers
£18 can provide a safe place for a student to learn and connect
£21 can train a mentor to provide students with support
£79 can train a teacher to run guidance workshops
£94 can fund teaching, space and transport costs for a student to complete the full program


The APEC is an official French board for middle management/executive jobs:
http://apec.fr
Here is an experiment on data collection, geocoding and indexing. Job
offers are scraped at least once a day, geocoded then indexed both
textually and spatially. Search them using:
search
Or visualize their spatial distribution:
density
Keep in mind this service lives on a crowded RaspberryPi2, be gentle.


Hello world! I'm a Java developer comfortable using Spring and Object Oriented Programming to create apps and software. I have experience in both Front and Back-End technologies. Front-End has been mostly with HTML, JavaScript and React. For Back-End I have experience with JDBC, Spring and SQL.
My developer database application follows a standard MVC architecture. It has a controller, view and model. I've also implemented an SQL database to hold the developer's data. (It may take a moment to properly load the project website.)
It is New Year's Day and people are in line for the Wonderland rollercoaster ride. Any person in the queue can bribe the person directly in front of them to swap positions. Fascinated by this chaotic queue, you decide you must know the minimum number of bribes that took place to get the queue into its current state.
Given a square matrix, calculate the absolute difference between the sums of its diagonals. For example, the square matrix is shown below: 1 2 3 4 5 6 9 8 9
Harold is a kidnapper who wrote a ransom note. He found a magazine and wants to know if he can cut out whole words from it. The words in his note are case-sensitive and he must use only whole words in the magazine. He cannot use substrings or concatenation to create the words he needs. Given the words in the magazine and the words in the ransom note, print Yes if he can replicate his ransom note exactly using whole words from the magazine; otherwise, print No.
Two strings are anagrams of each other if the letters of one string can be rearranged to form the other string. Given a string, find the number of pairs of substrings of the string that are anagrams of each other.


Following, of course, standard Unix procedure, universal source files for this web application are placed in this directory. You are not welcome here. Please get out.


|
home | news | discuss | issues | license LURE: WHY |
|
|---|---|
|
<EMAIL_ADDRESS>Why | Install | What | Guide | Style LURE is a set of minimal data mining tools designed with the goal of letting students "roll their sleeves up" to muck around inside data miners. The code is written in LUA since:
This code offers baseline implementations of a set of software science operators which, I say, are needed for data science. But you should be very critical of the technical choices I made in that implementation. What simplifications did I make? What better technologies should I use? What did I overlook? And (here's the trap) if you think you can handle the above in (e.g.) TensorFlow or Torch or using 100 other methods, I would lean forward and say "yes? really? show me how". StatusLURE is about about one-third built and about one-tenth tested. But its good to have dreams since "a man's (sic) reach should exceed his grasp, Or what's a heaven for?". MotivationThere has been much recent work applying data miners to software engineering. But what about the other way around? What software engineering principles should be apply to data miners? After decades of use of data miners, what services should we demand from our data miners, and how do we build those services? The premise of LURE is that data miners are not black boxes that we should buy, then uncritically use "as-is", without modification. Rather, data miners are just software and software contains 100s of design choices that effects what is learned:
|
require "show"
|
LegalLURE, Copyright (c) 2017, Tim Menzies All rights reserved, BSD 3-Clause License Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
|


Provides encapsulation for the JavaScript, CSS and templating in a Web Component. Note: this has been replaced with the shadyDOM polyfil shim (on platforms that support it) for a perfomace upgrade. This will dissapear as soon as other browsers ship web components.


{% load wagtailadmin_tags %}
No {{ opts.verbose_name_plural }} found matching your search.
There are no {{ opts.verbose_name_plural }}.


Strictly's Oti Mabuse pays emotional tribute to Kelvin Fletcher after surprise
Strictly Come Dancing’s Oti Mabuse has posted an emotional tribute to her dancing partner Kelvin Fletcher, as it was revealed he had flown her mother out especially for tonight’s Blackpool show.
What made it even more special was the fact that this was the first time Oti’s mother had seen her daughter dance live on the show.
And what a show to turn up for! The Greatest Dancer judge and Emmerdale star brought the house down as they performed a jive to the Elvis Presley classic Jailhouse Rock, earning a near perfect score of 39 from the judges, including sister Motsi.
Taking to Instagram, the dancer shared a heartfelt message to her dancing partner and the wonderful surprise he had arranged for her.
‘I don’t even know where to start,’ Oti wrote. ‘Before we did our walk, [Kelvin] told me to over the corner.
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‘He had a surprise for me, turns out he brought my mum and god-mum to Blackpool.
‘My mum has never ever seen me dance live on Strictly before and I just down in tears.’
It turns out, Blackpool is very special place for the Mabuse family, as Oti continued: ‘The last time we were in Blackpool she was training me in the Blackpool championships.
She also explained that it was ‘the best day of my life’.
We’re not crying, you are!
There were high-flying emotions all around tonight. It was a historic show for Strictly veteran Anton Du Beke, who managed to score his first 10s with partner Emma Barton after 17 series of competition.
Bruno Tonioli and head judge Shirley Ballas were more than happy to bestow this particular honour upon Anton, giving the pro and EastEnders actress a standing ovation.
‘First ever 10s!’ Anton celebrated. ’17 series! You don’t understand!’
Oh Anton…we think we do! What an emotional night!
Strictly Come Dancing continues tonight at 7.15pm on BBC One.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Project Manager
Intern 2015-16
Digital archive and antler specialist
Finds officer and faunal specialist
PDRA microwear and residue analysis
Research assistant
Lab technician
Intern 2014-15
Radiocarbon dating
Geophysics
Deterioration
ZooMS
Bioarchaeology
Laser scanning
Soils
Faunal remains
Beads
Conservation
Experimental archaeology
Archaeobotany
Wood
Residue analysis
Public perception of the Mesolithic
Soils and lithics
Birch bark rolls
Phytoliths
Stone
Reflectance transformation imaging
Photography
3D viewer
Web design and photogrammetry
Flythrough
Social media and publicity
Photogrammetry, scanning
Illustrator
Historic England


Working with the tree using immutable data is possible.
Make sure that:
id
property on each nodeidField
in the optionsDrag and drop by default mutates the children.
If working with immutable data, you must override the action and supply your custom behaviour:
Every time the nodes array changes, the entire tree model is rebuilt.
This might be costly if you have a huge amount of nodes that change very frequently.


I am a hardworking and ambitious individual with a great passion for the Education and Technology industry. I am currently in my second year of studying MA Information and Computer Education at National Taiwan Normal University. I have excellent communication skills, enabling me to effectively communicate with a wide range of people. Through technology, let education and other fields combine to train Computational Thinking. Solve problems and create value. I can put into practice my knowledge and experience, benefiting the operations of the organisation that I work for.


Hey, I'm Lucas Hild
I create web applications with Python. So I am fascinated of back-end development and like creating front-end designs. In my freetime I like climbing, playing the violin and searching for geocaches. My passion is to take photos and record cinematic videos. I write my own blog in German about photography, technology and my life. Feel free to visit it.
My social profiles


Enables you to automate on time to any services you frequently subscribe. And let it do your routine services.


WTF Did I Buy?
 Simply upload your credit card bill below and links to the specific orders will be created.
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Be sure to be logged into your Amazon account so the orders open properly.
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In your project developers contributed actively in files
(the most important file extensions are ).
The project will have a hard time if is hit by a bus.
The Bus Factor is:


Local Development and Test
Concept Description
This section describes how developers can locally develop and commission consumer and provider applications. Both service providers and consumers need to connect to the remote service center. Two methods of building Local ServiceCenter for local microservice commissioning are as follows:
-
Starting Local Service Center.
-
Starting Local Service Center Mock mechanism.
Local debugging by setting up environmental information
The Service Center is an important component in the microservice architecture, this is used in managing and handle: registering and discovering, for service metadata and service instance metadata. The logic relationship between the service center and microservice provider/consumer is as follows:
Starting Local ServiceCenter
-
Step 1 Starting local service center
-
run in executable files
Note: Both Windows and Linux versions only support 64-bit systems.
- Run as Docker
bash
Docker pull servicecomb/service-center
Docker run -d -p 30100:30100 servicecomb/service-center:latest
- Step 2 After starting the local service center, configure the ServerCenter address and port in the service provider/consumer's microservice.yaml file. Example code:
yaml
Servicecomb:
Service:
Registry:
Address:
#Service Center address and port
Http://<IP_ADDRESS>:30100
- Step 3 Development service provider/consumer, launch microservices for local testing.
----End
Mock mechanism start service center
Simulate a service center that can only be used by this process in the process memory, which is generally used in the test scenario. * ### In-process call Just declare it before starting the ServiceComb engine to enable it:
System.setProperty("local.registry.file", "notExistJustForceLocal");
-
Cross-process call
If the deployment is simple and the deployment information is static, you can use this mock mechanism even if you have a cross-process call. The producer end is still declared like "in-process call" However, because the Mock does not work across processes, the Mock on the consumer side needs to provide a local configuration file that describes the details of the call target, including the name, version, address, schema id, etc. Similarly, because the Mock cannot cross processes, the consumer cannot dynamically obtain the contract information of the producer. Therefore, the contract file needs to be provided locally. (This scenario, using the Mock Service Center, is much more costly than using a standalone service center, not recommended)
-
Step 1 Create a new local service center definition file, assuming the name is registry.yaml, the content example is as follows:
-
Step 1 Create a new local service center definition file, assuming the name is registry.yaml, the content example is as follows:
yaml
localserv:
- id: "100"
version: "0.0.1"
appid: localservreg
schemaIds:
- hello
instances:
- endpoints:
- rest://localhost:8080
- highway://localhost:7070
* Step 2consumer local deployment contract file
Reference: [Define Service Contract] (https://docs.servicecomb.io/java-chassis/zh_CN/build-provider/define-contract.html) * Step 3 In the consumer main function, declare the ServiceComb engine before starting:
java
System.setProperty("local.registry.file", "/path/registry.yaml");
The second parameter of setProperty fills in the absolute path of the registry.yaml system on the disk, pay attention to distinguish the corresponding path separator in different systems.
Local debugging by setting environment information
The java chassis is strictly dependent on the contract when designing, so usually the version of the microservice has to change when the contract updated. However, if the development mode is still in progress, it is normal to modify the interface.
If you need to change the version every time, it is very unfriendly to the user, so an environment setting is added for this case. If the microservice is configured as a development environment, the interface is modified (the schema has changed), and the restart can be registered to the service center without modifying the version number.
However, if consumer client has already called the service before the restart, the consumer client needs to be restarted to get the latest schema. For example, A -> B, B interface has been modified and restarted, then A is still using B last schema at this time, the call may be wrong, so as to avoid unknown exceptions, A also needs to restart. There are three ways to set it up, Recommended method 1
-
Method 1: Set by the JVM startup parameter
-Dservice_description.environment=development -
Method 2: Specify by microservice.yaml configuration file
service_description:
environment: development
- Method 3: Specify by environment variable (only for Windows system), such as the following settings under Eclipse


A runner is the core object for any OpenPipe based application. A runner is responsible for gathering output from an OpenPipe_Adapter_Interface based adapter and returning to the end client browser as piped data objects. Before sending these piped based data objects this runner also ensures that the end client browser has been setup/instantiated appropriately by sending the CORE OpenPipe front end JavaScript libraries and the CORE HTML framework Once constructed calling this object run() method will kickoff the OpenPipe HTTP pipelining process
« More »An interface defining an adapter which bridges php based applications with OpenPipe. OpenPipe will call the adapter to load layouts and pipelets.
« More »Represents an abstract OpenPipe adapter. As an abstract class it provides basic services for obtaining the layout (root object for pipelets), and generating output for pipelets that are requested. Any object which extends this class will implement the getLayout() and getContent() methods. This abtract class will handle the details in regards to buffering output and sending it back to the requesting object.
« More »A basic adapter which provides an implementation of the abstract adapter class. It simply loads layouts and piplets from known directories given during the constructor process
« More »Implementation of an OpenPipe output interface that sends data via an HTTP pipeline.
« More »Implementation of an OpenPipe output interface that sends data as a standard HTML document Content pieces are used to construct a complete HTML document, placing CSS and JavaScript in proper placement, and inject each content piece within a pipelet place holder on the server side. It's important to note that no javascript is required to complete output on the client web browser while utilizing this output implementation
« More »An interface defining the output mechanism for OpenPipe. This abstraction allows for the implementing class to handle individual pipelet output appropriately
« More »An interface defining a pipelet. A pipelet is an atomic entity with an pipe based HTML layout. A pipelet is essentially a piece of content that is loaded in a priority based sequential fashion and outputted immediately to the end client browser, without having to wait for other pipelets or sub pipelets to be loaded as well. A pipelet's main purposed is to deliver content in modular packages that increase the, 'perceived', load time of an HTML based PHP application.
« More »Abstract implementation of the OpenPipe_Pipelet_Interface. Provided basic bindings for all methods defined in the interface.


---
layout: talk
title: Real-time tracking of virus evolution
venue: Fred Hutch
event: VIDD Seminar
author: Trevor Bedford
---
{{ page.title }}
Trevor Bedford (@trvrb)
{{ page.date | date: "%-d %b %Y" }}
{{ page.event }}
{{ page.venue }}
Slides at bedford.io/talks/
Phylogenies describe history
Phylogenies describe history
Haeckel 1879
Phylogenies describe history
Phylogenies reveal process
Darwin 1859
Epidemic process
Sample some individuals
Sequence and determine phylogeny
Sequence and determine phylogeny
West African Ebola phylogeny
Global influenza phylogeny
Applications of evolutionary analysis for influenza vaccine strain selection and charting outbreak spread
Previous research has focused on:
- Antigenic drift
- Geographic circulation
Influenza virus
Influenza H3N2 vaccine updates
H3N2 phylogeny showing antigenic drift
H3N2 phylogeny showing antigenic drift
Flu pandemics caused by host switch events
Influenza B does not have pandemic potential
Phylogenetic trees of different influenza lineages
Influenza hemagglutination inhibition (HI) assay
HI measures cross-reactivity across viruses
Data in the form of table of maximum inhibitory titers
Compiled HI data difficult to work with
Antigenic cartography positions viruses and sera to recapitulate titer values
Antigenic cartography positions viruses and sera to recapitulate titer values
Combine phylogeny and HI data to estimate a joint antigenic map
Drift results from selective advantage of antigenically novel lineages
Phylogenetic trees of different influenza lineages
Antigenic phenotype across lineages
Antigenic drift across lineages
First study to embed a model of the process of antigenic evolution on a phylogeny. More than just description.
Seasonality in influenza
Sample H3N2 from around the world
Treating geographic state as an evolving character
Phylogeny of H3 with geographic history
Infer geographic transition matrix
Air travel predicts migration rates
Geographic location of phylogeny trunk
Region-specific ancestry
Phylogenies across subtypes / lineages
H3N2 phylogeny
H1N1 phylogeny
B/Vic phylogeny
B/Yam phylogeny
Ancestry patterns across lineages
Regional persistence patterns
How to explain these differences?
Age distribution across viruses
Air travel differences between adults and children
Epidemiological model of varying rates of antigenic drift
Results of varying antigenic drift
Interaction between virus evolution, epidemiology and human behavior drives migration rate differences
Static vs dynamic inferences and the living paper
Influenza H3N2 vaccine updates
nextflu
Project to provide a real-time view of the evolving influenza population
All in collaboration with Richard Neher
nextflu
pipeline
- Download all recent HA sequences from GISAID
- Filter to remove outliers
- Subsample across time and space
- Align sequences
- Build tree
- Estimate frequencies
- Export for visualization
Up-to-date analysis publicly available at:
Including HI data, by titer drops to phylogeny branches
Model is highly predictive of missing titer values
Broad patterns agree with cartographic analyses
Recent HI data from WHO CC London annual and interim reports
The future is here, it's just not evenly distributed yet
— William Gibson
USA music industry, 2011 dollars per capita
Influenza population turnover
Vaccine strain selection timeline
Seek to explain change in clade frequencies over 1 year
Fitness models can project clade frequencies
Clade frequencies $X$ derive from the fitnesses $f$ and frequencies $x$ of constituent viruses, such that
$$\hat{X}_v(t+\Delta t) = \sum_{i:v} x_i(t) \, \mathrm{exp}(f_i \, \Delta t)$$
This captures clonal interference between competing lineages
Predictive fitness models
A simple predictive model estimates the fitness $f$ of virus $i$ as
$$\hat{f}_i = \beta^\mathrm{ep} \, f_i^\mathrm{ep} + \beta^\mathrm{ne} \, f_i^\mathrm{ne}$$
where $f_i^\mathrm{ep}$ measures cross-immunity via substitutions at epitope sites and $f_i^\mathrm{ep}$ measures mutational load via substitutions at non-epitope sites
We implement a similar model based on two predictors
- Clade frequency change
- Antigenic advancement
Project frequencies forward,
growing clades have high fitness
Calculate HI drop from ancestor,
drifted clades have high fitness
Fitness model parameterization
Our predictive model estimates the fitness $f$ of virus $i$ as
$$\hat{f}_i = \beta^\mathrm{freq} \, f_i^\mathrm{freq} + \beta^\mathrm{HI} \, f_i^\mathrm{HI}$$
We learn coefficients and validate model based on previous 15 H3N2 seasons
Clade growth rate is well correlated (ρ = 0.66)
Growth vs decline correct in 84% of cases
Trajectories show more detailed congruence
Formalizes intuition about drivers of influenza dynamics
| Model |
Ep coefficient |
HI coefficient |
Freq error |
Growth corr |
| Epitope only |
2.36 |
-- |
0.10 |
0.57 |
| HI only |
-- |
2.05 |
0.08 |
0.63 |
| Epitope + HI |
-0.11 |
2.15 |
0.08 |
0.67 |
Further work on predictive modeling
- Integrate data predictors and data sources, e.g. plan to investigate a geographic predictor
- Possible to build predictive models for H1N1 and B and to forecast NA evolution
Real-time analyses are actionable and thus, may inform influenza vaccine strain selection
Epidemic nearly contained, but resulted in >28,000 confirmed cases and >11,000 deaths
Outbreaks are independent spillovers from the animal reservoir
Person-to-person spread in the early West African outbreak
Continued spread through Dec 2014
At epidemic height, geographic spread of particular interest
Rambaut 2015
Later on, tracking transmission clusters of primary importance
Tracking epidemic spread in real-time:
Virus source in Africa, spread eastward
Virus source in Africa, spread eastward
Isolated epidemics in the South Pacific
Single arrival into the Americas, circa mid-2014
Moving forward, genetically-informed outbreak response requires:
- Rapid sharing of sequence data, genetic context critical
- Technologies to rapidly conduct phylogenetic inference
- Technologies to explore genetic relationships and inform epidemiological investigation
Phylogenetic analysis of B cell affinity maturation
Acknowledgements
WHO Global Influenza Surveillance Network, GISAID, Richard Neher (Max Planck Tübingen), Andrew Rambaut (University of Edinburgh),
Colin Russell (Cambridge University), Philipe Lemey (KU Leuven), Marc Suchard (UCLA),
Steven Riley (Imperial College), Gytis Dudas (University of Edinburgh), Jesse Bloom (Fred Hutch),
Erick Matsen (Fred Hutch), the Lab.
Contact
- Website: bedford.io
- Twitter: @trvrb
- Slides: bedford.io{{ page.url }}


Showcase your work like
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A design is a plan or specification for the construction of an object or system or for the implementation of an activity or process, or the result of plan or specification in the form of a prototype, product or process.
STRICT has been designed to be fully responsive on all devices
STRICT has been designed to be fully responsive on all devices
STRICT has been designed to be fully responsive on all devices
Contact me if you like my work
We ensure Quality & Support


I built a classifier using AI and natural language processing that was 99% accurate in detecting whether news articles were real or fake news. I obtained the articles by web scraping real and fake news sites to download over 600 articles.
Real News Words
Fake News Words
A large chemical company keeps its employees up to date on news by compiling a list of news articles to send to its staff. Recently, its news feed has been infiltrated by fake news articles. I used AI and Natural Language Processing to build a classifier to separate the genuine articles from the fake news articles.
The company provided a list of sites on its “blacklist”. These were sites that they flagged as sources of fake news. At first glance, articles on these sites appear to be real news. But closer examination reveals otherwise. Here is an excerpt of an article from one of the sites on the blacklist nbpostgazette:
Growing opportunity for startups in the Fuel Dispensers industry
Questale released a detailed assessment of trends in Fuel Dispensers market. The research report includes diverse topics like total market size, key market drivers, challenges, growth opportunities, key players etc. We have also covered key market updates, the impact of regulations and technological updates. New startups entering the space of Fuel Dispensers need to carefully pick their niches and genres so that they can compete on an equal footing with global companies who have an end to end development studios, production capabilities and global skills and experience backing them. You can get free access to samples from the report here: https://questale.com/report/fuel-dispensers-market-report-by-company-regions-types-and-applications-global-status-and-forecast-to-2025/303479
I built a web scraper to download over 600 news articles from real news sources (e.g. NY Times, FiveThirtyEight, Reuters) and fake news sources using the company’s blacklist (e.g. NBPostGazette, JournalismDay, SatPRNews).
I prepared the articles for building a classifier by removing stop words (words such as and, the, and I that don’t convey much information), converting all words to lowercase, and removing punctuation.
Counting the words in each article is the key step that quantifies our text data into a numerical format for modeling.
I used a method of quantifying article word counts called term frequency inverse document frequency (TF-IDF).
Term frequency represents how important each word is in an article. It is a rate statistic.
Inverse document frequency penalizes words that appear in many articles. The idea is that words that occur in many articles are less informative than those that occur only in a small number of the articles.
TF-IDF multiplies term frequency by inverse document frequency to quantify the importance of each word in each article.
Naive Bayes is a fast, accurate, and easy to implement classifier often used in text classification. It is based on Bayes’ theorem and the naive part comes from the assumption that the features in the dataset are independent.
We are interested in calculating the posterior probabilities: What is the probability that an article is fake news given the words in the article?
Naive Bayes looks at the TF-IDF score for each article and uses those numbers to identify words correlated with real news and fake news.
The classifier misclassified one out of 127 articles in the test set. It correctly classified all 27 fake news articles in the test set.
This is a Github link with all the code used in this project.


{% include no-linenos.html content=post.content %} {{ content | markdownify | strip_html | truncate: 200 }}
--- layout: mainpage # The Home page layout # v2.0 # https://github.com/cotes2020/jekyll-theme-chirpy # © 2017-2019 Cotes Chung # MIT Licensed ---
A virtual training event for cybersecurity and cyberinfrastructure professionals
August 18 and August 20, 2020 – Virtual Event
Update: Report now available: Dos & Don’ts of Hosting a Virtual Workshop.
Materials now available!
We have added links to each session listed in the agenda, which include PDFs of slide decks and recordings from the presentations. If you have trouble accessing, please contact us at<EMAIL_ADDRESS>This unique event is focused on the cyberinfrastructure and cybersecurity needs of National Science Foundation research facilities and other research projects.
This is a how-to event focusing on actionable strategies, tactics, and techniques. With attendance limited to 250 and designed to maximize connection, this inaugural event includes interactive training, breakout discussions, a virtual hallway for networking, and open forums/office hours. To minimize Zoom fatigue, we've included a day between sessions and plan numerous, extended breaks.
This workshop complements the upcoming 2020 NSF Cybersecurity Summit for Large Facilities and Cyberinfrastructure. Both address the topics of cyberinfrastructure and cybersecurity. Security Log Analysis training, long-featured at the NSF Summit, will also be available at the CI/CS Workshop this year. With the exception of this workshop, content and format differ. The CI/CS Workshop is a series of short talks, open forums/office hours, and one panel. Both events are of value to cybersecurity and cyberinfrastructure professionals supporting NSF research, and both would make excellent elements to include in a professional development and training program
{% include no-linenos.html content=post.content %} {{ content | markdownify | strip_html | truncate: 200 }}


I am a first aid chatbot and i am happy to help. It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.


 Well, it does end up in a screen asking you for your credentials! But, what actually leads to this? Let’s find out!
We can divide this process into 6 main intermediate steps. These are:
- BIOS
- Master Boot Record (MBR)
- GRUB
- Kernel
- Init
- Run Level
What do these terms mean in the first place? Let’s find out that as well.
BIOS
BIOS stands for Basic Input Output System, and it is a firmware. Now, this is different from the usual hardware and software which you might have heard of. Firmware is a software which resides on a dedicated memory chip, which is close to the metal (hardware). Software is used for programs that reside on hard disks, and use the functionality of the Operating System, in order to interact with the hardware, but firmware on the other hand doesn’t need to do so. It directly accesses the hardware. An example of that would be your TV remote, which processes your inputs (button presses) to generate the corresponding infrared signals.
BIOS is one such firmware for our computer. It resides on a chip inside the computer’s motherboard. A motherboard is a printed circuit board, which essentially connects all the computer hardware such as the RAM, hard drives, optical drives and the CPU. On pressing the power button, the BIOS runs what is known as POST, which stands for Power On Self Test. This is basically a check which is performed by the BIOS which ensures that whether all the hardware devices such as the monitor, keyboard, mouse along with storage devices, processor, memory,etc, are working correctly or not. If the test turns out to be unsuccessful, further steps don’t proceed, unless the problem is fixed. Doing so, the hardware kind of initializes the hardware for further use. It then proceeds to search and execute the bootloader.
In CS jargon, the word booting is used to denote the process of starting the computer. The bootloader is a program which is responsible for loading the Operating System itself in the RAM. The bootloader is present on what is known as a bootable device, now this could be a floppy disk, USB, hard disk etc. A bootable device is one which contains a sector (512 byte sized division), whose last two bytes contain the boot signature. This is 0x55 and 0xAA, which are represented in hex. The decimal counterparts are 85 and 170, respectively. Such a sector containing the boot signature is known as the boot sector. However, in order for bootloader to execute, it needs to be loaded onto the memory initially and then executed. This work is done by the BIOS and the Master Boot Record.
Master Boot Record
The Master Boot Record is a kind of boot sector which is the first sector of a disk. The BIOS loads the Master Boot Record from a disk. A particular setting of BIOS allows users to order the disks from which the MBR is to be loaded. Thus, the BIOS loads the MBR from the first device which contains the boot signature, as the boot signature may get corrupted.
The MBR comprises of three important components, which are:
Partition Table
The partition table contains an index of upto 4 partitions of the disk. Note MBR, is a sector of a disk and it isn’t present on disks which aren’t partitioned (such as floppy disks). It occupies 64 bytes of space.
Bootstrap Code
The Primary Boot Loader, it occupies 446 Bytes of space. Now, 446 Bytes of space is small, very small, in order to load the entire OS. With such constraints, the primary boot loader can only load the next (secondary) bootloader, and execute it. The secondary bootloader would be present in one of the four partitions, and
Boot Signature:
The famous 0x55AA, which takes 2 bytes and therefore, the


We help VR devs add a voice-activated third-person camera to enable players share videos of VR adventures instantly on social media.
Beta v 0.4 is now available for VR developers
Posted In: WildFire Magzine
Only yesterday, virtual reality (VR) seemed like a far-off dream. But the field has grown exponentially over recent years, and it doesn’t seem like the momentum is slowing anytime soon.
<EMAIL_ADDRESS>Posted In: WildFire Magzine


Introduction
stardux builds upon the container concept introduced in redux. Containers provide a predictable interface around DOM elements. State is represented in objects and expressed in the DOM with ES6 template notation.
A Container
is a wrapper around a DOM element and its state. State is
represented in objects and expressed in the DOM with ES6 template
notation. Containers use reducers and middleware to transform input
into state. If you are familiar with
redux and reducers then this should be
easy for you. DOM updates are made possible with
starplate and it's internal
patching algorithm built on
IncrementalDOM.
Hello World
Define DOM and template source body.

 ${ value }

Create container from DOM element and update state.
import { createcontainer } from 'stardux'
const container = createContainer(document.querySelector('div'))
container.update({ value: 'hello, world' })
Realize patches made to wrapped DOM element.

 hello, world

Containers
Containers are created with the createContainer()
function.
import { createContainer } from 'stardux'
const container = createContainer(domElement)
Reducers
Containers apply reducers when an action is dispatched. When a container
is updated with a call to the .update()
method, an UPDATE
action is
dispatched with optional data. Every container instance has an internal
root reducer that applies middleware to the state
and action
values
provided by redux
. User reducers given to createContainer()
or the
Container
constructor are applied after.
Templating
Containers provide a way to express state to the DOM. A containers DOM can be expressed with ES6 template notation making it easy to create resuable dynamic views.
const container = createContainer(domElement)
domElement.innerHTML = 'Hello ${name}'
container.update({ name: 'kinkajou' })
console.log(domElement.innerHTML) // "Hello kinkajou"
Pipes and Composition
Containers can be composed into a container chain and even allow for
middleware to transform input data. Piping and middleware are provided by
familiar interfaces such as .pipe(container)
and .use(middleware)
respectively. The state
and action
values given to a container from
a pipe are transformed by any middleware given to a container with the
.use()
method.
Here 3 containers are constructed into a pipeline A -> B -> C
.
containerA.pipe(containerB).pipe(containerC)
When an update occurs on containerA
, is propagated to containerB
and
then to containerC
. This is effectively the samething as container
composition.
Middleware has the following usage.
container.use((state, action) => {
// middleware here ...
})
Child containers
Containers can have child containers which are added and removed with
familiar methods like .appendChild()
and .removeChild()
.
Adding a child to a container.
container.appendChild(child)
Removing a child to a container.
container.appendChild(child)


Skip to main content
Home
Services
Settings
Site Map
System Info
Broadband
LAN
Firewall
Logs
Diagnostics
Status
Applications, Pinholes and DMZ
Advanced Configuration
Firewall Rules
Parental Control
Parental Control
Status
Disabled


Issue 6253: Auto-correction of breakpoints location
Steps to reproduce
Open Firebug on this page
Switch to the Script panel and enable it.
As there is a platform bug, press F5 to reload the page.
Only by reloading the page can ensure against being broken with the platform bug. See: bug #853847
Click on the breakpoint column at line 10 (A line just to show a comment).
Expected result
A breakpoint must be created at line 12, which is nearer executable line


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WITNESS LIST State, Federal & International Relations Committee January 20, 1998-10:00A RMICC On: Morales, Teresa (RMICC Chair) Richardson, Martha (RMICC; DIR rep.) Registering, but not testifying: On: Evans, Rex (RMICC; GSC rep.) Proctor, Dan (RMICC; SOS rep.) State Library & Archives Commission On: Martin, Robert S. (SLAC) TexShare Library Consortium For: Hisle, Lee W. (Austin Comm. College) Juergens, Bonnie (AMIGOS Bibliographic) McCord, Joe S. (TX Library Assn.) Seal, Robert (TCU) Smith, Mark (TX Library Assn.) On: Martin, Robert S. (SLAC)


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--- # front matter tells Jekyll to process Liquid ---
Graphs of weekly deaths in England & Wales for 2020 and 2021. Data up to week ending 31st December 2021.
See graphs for: All ages | under 65 | 65-79 | under 80 | 80+
Weekly provisional figures on all deaths registered in England and Wales.
Weekly provisional figures on deaths registered where coronavirus (COVID-19) was mentioned on the death certificate in England and Wales.
Weekly provisional figures on deaths registered of those aged under 65 in England and Wales.
Weekly provisional figures on deaths registered of those aged under 65 where coronavirus (COVID-19) was mentioned on the death certificate in England and Wales.
Weekly provisional figures on deaths registered of those aged 65-79 in England and Wales.
Weekly provisional figures on deaths registered of those aged 65-79 where coronavirus (COVID-19) was mentioned on the death certificate in England and Wales.
Weekly provisional figures on deaths registered of those aged under 80 in England and Wales.
Weekly provisional figures on deaths registered of those aged under 80 where coronavirus (COVID-19) was mentioned on the death certificate in England and Wales.
Weekly provisional figures on deaths registered of those aged 80+ in England and Wales.
Weekly provisional figures on deaths registered of those aged 80+ where coronavirus (COVID-19) was mentioned on the death certificate in England and Wales.


import pairify from 'pairify';
const pairs = pairify.analyze(code);
Pairify is doing a simple loop over all the characters in the provided string. It is not doing a lexical parsing which makes it pretty fast. It may be used in developer and analysis tools that operate on static code.


Register Now
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Choose your gender:
Male
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Choose the event you want to attend:
Seminar
Quiz
Debate
How many people are coming with you?
1
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5 or more


{% extends "layout.html" %} {% block title %}Upload names{% endblock %} {% block content %}
Upload a CSV file with Names and GitHub columns.


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| gppDemos |
|
| gppDemos.MCpi |
The demos in this package use some of the Farm type patterns in the package gppLibrary.patterns to implement a
solution to the calculation of pi using a MonteCarlo method. |
| gppDemos.QuickSort |
This package implements the QuickSort algorithm. |
| gppDemos.concordance |
Concordance provides a typical problem scenario that justifies the use of a parallel solution,
both a sequential and parallel version are provided that use the same data classes. |
| gppDemos.goldbach.data |
Data classes used in the Primes and the Goldbach Conjecture solution |
| gppDemos.goldbach.scripts |
Primes and the Goldbach Conjecture presents a solution to the problem of creating prime numbers
and then using those primes to validate the Goldbach conjecture. |
| gppDemos.imageProcessing |
The image processing package demonstartes the used of the ImageEngine, which itself comprises an
ImageRoot and a number of ImageNode processes whereby the image processing is partitioned over the nodes.
|
| gppDemos.jacobi |
The Jacobi demo finds the solution to the simultaneous equations represented by Ax = b,
where A is the nxn matrix of coefficients, x represents the n unkowns for which the value is required
and b is n values that result from the vector sum of Ax. |
| gppDemos.mandelbrot.cluster |
The cluster version of Mandelbrot causes the calculation to be distributed over a number
of nodes and a host connected by a TCP/IP network. |
| gppDemos.mandelbrot.data |
Data Classes used in the Mandelbrot solution. |
| gppDemos.mandelbrot.scripts |
Mandelbrot - a solution to creating the Mandelbrot set. |
| gppDemos.mapReduceV0 |
This demonmstration implements a Map Reduce architecture to count the number of words in an input text file.
|
| gppDemos.maxOneProblem |
- author:
- Jon
|
| gppDemos.nQueensProblem |
- author:
- Jon
|
| gppDemos.nQueensProblem.cluster |
|
| gppDemos.nbody |
A solution to the N-body problem that ustilses a Matrix based representation of the planets using the
MultiCoreEngine process, which itself comprises a MultiCoreRoot process and a number of MultiCoreNode processes
over which the Matrix is partitioned for processing. |
| gppDemos.nbody.java |
A sequential solution to the N-body problem that ustilises a List of Planet objects based representation of the planets.
|
| gppDemos.solarSystem |
A solution to the N-body problem that ustilses a List of Planet objects based representation of the planets using the
MultiCoreEngine process, which itself comprises a MultiCoreRoot process and a number of MultiCoreNode processes
over which the Matrix is partitioned for processing. |
| gppDemos.wordCount |
|


-webkit-column-rule-width
Specifies the width of the column rule.
Changes to this property can be animated.
-webkit-column-rule-width: medium | thick | thin | <width>;
The column rule has a medium width.
The column rule has a thick width.
The column rule has a thin width.
The width of the column rule. Length unit.


More Tools
A
register
of letters patent issued by His Majesty;
Details of the
calendars used by His Majesty's Government
, including today's date in its various forms.
THEFOOTER


Senior year is a magical time. People fall in and out of love, go on midnight adventures, start ridiculous projects (like this one), but they also realize they are about to turn the page and enter a new chapter in their story. There is an abundance of time, but it is also running out. A senior can spend their time exploring passions new and old, expanding their mind, sitting on the couch, cementing relationships, or taking risks. Senioritis is a podcast deeply rooted in these ideas. An idea bubbles to the surface, two seniors learning to step out of their comfort zones grab it and run with it.
At its core, the project is run by and for students. Our goal is to inspire and encourage students to start projects and cherish their time in high school, because it goes by very fast. We sit down with two sets of seniors each week and have meaningful conversation that captures their stories, thoughts, beliefs, and youth. We hope everyone listening can take something new away from each episode and have a fun listen.
Inquiries:
gunn [dot] senioritis [at] gmail [dot] com.


| PostgreSQL 9.4devel Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Appendix F. Additional Supplied Modules | Next |
The pg_stat_statements module provides a means for tracking execution statistics of all SQL statements executed by a server.
The module must be loaded by adding pg_stat_statements to shared_preload_libraries in postgresql.conf, because it requires additional shared memory. This means that a server restart is needed to add or remove the module.
The statistics gathered by the module are made available via a system view named pg_stat_statements. This view contains one row for each distinct database ID, user ID and query ID (up to the maximum number of distinct statements that the module can track). The columns of the view are shown in Table F-20.
Table F-20. pg_stat_statements Columns
| Name | Type | References | Description |
|---|---|---|---|
| userid | oid | pg_authid.oid | OID of user who executed the statement |
| dbid | oid | pg_database.oid | OID of database in which the statement was executed |
| queryid | bigint | Internal hash identifier, computed from the entry's post-parse-analysis tree | |
| query | text | Text of a representative statement (up to track_activity_query_size bytes) | |
| calls | bigint | Number of times executed | |
| total_time | double precision | Total time spent in the statement, in milliseconds | |
| rows | bigint | Total number of rows retrieved or affected by the statement | |
| shared_blks_hit | bigint | Total number of shared block cache hits by the statement | |
| shared_blks_read | bigint | Total number of shared blocks read by the statement | |
| shared_blks_dirtied | bigint | Total number of shared blocks dirtied by the statement | |
| shared_blks_written | bigint | Total number of shared blocks written by the statement | |
| local_blks_hit | bigint | Total number of local block cache hits by the statement | |
| local_blks_read | bigint | Total number of local blocks read by the statement | |
| local_blks_dirtied | bigint | Total number of local blocks dirtied by the statement | |
| local_blks_written | bigint | Total number of local blocks written by the statement | |
| temp_blks_read | bigint | Total number of temp blocks read by the statement | |
| temp_blks_written | bigint | Total number of temp blocks written by the statement | |
| blk_read_time | double precision | Total time the statement spent reading blocks, in milliseconds (if track_io_timing is enabled, otherwise zero) | |
| blk_write_time | double precision | Total time the statement spent writing blocks, in milliseconds (if track_io_timing is enabled, otherwise zero) |
This view, and the function pg_stat_statements_reset
,
are available only in databases they have been specifically installed into
by installing the pg_stat_statements extension.
However, statistics are tracked across all databases of the server
whenever the pg_stat_statements module is loaded
into the server, regardless of presence of the view.
For security reasons, non-superusers are not allowed to see the SQL text or queryid of queries executed by other users. They can see the statistics, however, if the view has been installed in their database.
Plannable queries (that is, SELECT, INSERT, UPDATE, and DELETE) are combined into a single pg_stat_statements entry whenever they have identical query structures according to an internal hash calculation. Typically, two queries will be considered the same for this purpose if they are semantically equivalent except for the values of literal constants appearing in the query. Utility commands (that is, all other commands) are compared strictly on the basis of their textual query strings, however.
When a constant's value has been ignored for purposes of matching the query to other queries, the constant is replaced by ? in the pg_stat_statements display. The rest of the query text is that of the first query that had the particular queryid hash value associated with the pg_stat_statements entry.
In some cases, queries with visibly different texts might get merged into a single pg_stat_statements entry. Normally this will happen only for semantically equivalent queries, but there is a small chance of hash collisions causing unrelated queries to be merged into one entry. (This cannot happen for queries belonging to different users or databases, however.)
Since the queryid hash value is computed on the post-parse-analysis representation of the queries, the opposite is also possible: queries with identical texts might appear as separate entries, if they have different meanings as a result of factors such as different search_path settings.
Consumers of pg_stat_statements may wish to use queryid (perhaps in composite with dbid and userid) as a more stable and reliable identifier for each entry than its query text. However, it is important to understand that there are only limited guarantees around the stability of the queryid hash value. Since the identifier is derived from the post-parse-analysis tree, its value is a function of, among other things, the internal identifiers that comprise this representation. This has some counterintuitive implications. For example, a query against a table that is fingerprinted by pg_stat_statements will appear distinct to a subsequently executed query that a reasonable observer might judge to be a non-distinct, if in the interim the table was dropped and re-created. The hashing process is sensitive to difference in machine architecture and other facets of the platform. Furthermore, it is not safe to assume that queryid will be stable across major versions of PostgreSQL.
As a rule of thumb, an assumption of the stability or comparability of queryid values should be predicated on the underlying catalog metadata and hash function implementation details exactly matching. Any two servers participating in any variety of replication based on physical WAL-replay can be expected to have identical queryid values for the same query. Logical replication schemes do not have replicas comparable in all relevant regards, and so queryid will not be a useful identifier for accumulating costs for the entire replica set. If in doubt, direct testing is recommended.
pg_stat_statements_reset() returns void
pg_stat_statements_reset
discards all statistics
gathered so far by pg_stat_statements.
By default, this function can only be executed by superusers.
pg_stat_statements.max is the maximum number of statements tracked by the module (i.e., the maximum number of rows in the pg_stat_statements view). If more distinct statements than that are observed, information about the least-executed statements is discarded. The default value is 1000. This parameter can only be set at server start.
pg_stat_statements.track controls which statements are counted by the module. Specify top to track top-level statements (those issued directly by clients), all to also track nested statements (such as statements invoked within functions), or none to disable statement statistics collection. The default value is top. Only superusers can change this setting.
pg_stat_statements.track_utility controls whether utility commands are tracked by the module. Utility commands are all those other than SELECT, INSERT, UPDATE and DELETE. The default value is on. Only superusers can change this setting.
pg_stat_statements.save specifies whether to save statement statistics across server shutdowns. If it is off then statistics are not saved at shutdown nor reloaded at server start. The default value is on. This parameter can only be set in the postgresql.conf file or on the server command line.
The module requires additional shared memory amounting to about pg_stat_statements.max * track_activity_query_size bytes. Note that this memory is consumed whenever the module is loaded, even if pg_stat_statements.track is set to none.
These parameters must be set in postgresql.conf. Typical usage might be:
# postgresql.conf shared_preload_libraries = 'pg_stat_statements' pg_stat_statements.max = 10000 pg_stat_statements.track = all
bench=# SELECT pg_stat_statements_reset(); $ pgbench -i bench $ pgbench -c10 -t300 bench bench=# \x bench=# SELECT query, calls, total_time, rows, 100.0 * shared_blks_hit / nullif(shared_blks_hit + shared_blks_read, 0) AS hit_percent FROM pg_stat_statements ORDER BY total_time DESC LIMIT 5; -[ RECORD 1 ]--------------------------------------------------------------------- query | UPDATE pgbench_branches SET bbalance = bbalance + ? WHERE bid = ?; calls | 3000 total_time | 9609.00100000002 rows | 2836 hit_percent | 99.9778970000200936 -[ RECORD 2 ]--------------------------------------------------------------------- query | UPDATE pgbench_tellers SET tbalance = tbalance + ? WHERE tid = ?; calls | 3000 total_time | 8015.156 rows | 2990 hit_percent | 99.9731126579631345 -[ RECORD 3 ]--------------------------------------------------------------------- query | copy pgbench_accounts from stdin calls | 1 total_time | 310.624 rows | 100000 hit_percent | 0.30395136778115501520 -[ RECORD 4 ]--------------------------------------------------------------------- query | UPDATE pgbench_accounts SET abalance = abalance + ? WHERE aid = ?; calls | 3000 total_time |<PHONE_NUMBER>99997 rows | 3000 hit_percent | 93.7968855088209426 -[ RECORD 5 ]--------------------------------------------------------------------- query | alter table pgbench_accounts add primary key (aid) calls | 1 total_time | 81.42 rows | 0 hit_percent | 34.4947735191637631
Takahiro Itagaki<EMAIL_ADDRESS>.
Query normalization added by Peter Geoghegan<EMAIL_ADDRESS>.


DayNumber
The DayNumber function returns the number
of the day of week from the day of week name.
|
:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
:DayNumber %Weekday% dow
::
:: By: Ritchie Lawrence, 2003-05-14. Version 1.0
::
:: Func: Returns the day number from the name of weekday. Case insensitive
:: and only the first three letters
are matched, result is 1 to 7 or
:: NULL if no match. For NT4/2000/XP/2003.
::
:: Args: %1 Weekday name to convert to day of week number (by val)
:: %2 var to receive DOW number
(by ref)
:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
setlocal ENABLEEXTENSIONS & set i=0
for %%a in (Mon Tue Wed Thu Fri Sat Sun) do (
set /a i+=1 & echo/%1|findstr /i /b "%%a"
>nul && call set dow=%%i%%)
endlocal&set %2=%dow%&goto :EOF
::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: |
|
Parameters
%1 Weekday name to convert to day of week number (by val)
%2 var to receive DOW number (by ref)
Return Values
Function is case insensitive and only the first three letters of the
day of week name are required. For example, if called with Wed, wed or
Wednesday, the result is 3. If the day of week name is invalid, the return
value is NULL.
Example
@echo off & setlocal ENABLEEXTENSIONS
call :DayNumber Tueday dow
echo/Tuesday is day: %dow%
goto :EOF
Remarks
Monday is day 1 and Sunday day 7.
See Also
DayName, DateToWeek,
WeekToDate
|


TWISTER A film review by Christopher Null Copyright 1996 Christopher Null
This is a review of two films....
The first film is an eye-popping, jaw-dropping action/adventure, a study of tornadoes and the carnage they create wherever they land. A story of two maverick "stormchasers" who try to launch a data-gathering probe into the heart of one of these twisters and risk life and limb in doing so.
The second film is a lifeless character drama, a tired old story about a couple going through a divorce, the man with his prissy wife-to-be, the woman still pining for their old relationship. It is also the story of a second, group of cartoonishly "evil" stormchasers who compete to launch their own probe into a tornado.
The first film is fantastic. The second film is awful. And they are both called TWISTER.
Never before have I experienced a picture that could have been so good and that had so much going for it, that blew it so badly. TWISTER's groundbreaking effects carry it a *long* way. These include, but are not limited to, a tractor dealership being sucked into the air, a semi dropped from the sky, a house rolling across the plains (which is driven through on its side), flying bovines, and of course, lots of faux tornadoes. I can't remember how many times I muttered "Oh my God..." during the screening. (Thanks go to SPEED director Jan de Bont.)
I likewise can't remember how many times I started to doze off during the predictable, shopworn, boring "character development" scenes, *none* of which are effective. You'd think that in an hour of development, we'd learn more about the leads, all of whom can be fully described in 15 words or less: Bill (Bill Paxton), leaving the stormchasing world (and his wife) for more peaceful conditions; Jo (Helen Hunt), Bill's maniacally devoted wife, driven to near-madness by a tornado trauma as a youth; Melissa (Jami Gertz), Bill's hollow and uptight girlfriend (and Chicagoan Gertz looks ridiculous made-up as a Southern belle); and Jonas (Cary Elwes), the stormchaser who "sold out" by getting (the horror!) a corporate sponsorship (and Brit Elwes is even more ridiculous as a Southern beau). There's even an Aunt Meg (Lois Smith)! Welcome to Oz, folks.
 After two hours, the tornadoes go away and so does the talking. Thank God for the latter. And fortunately, the action scenes are much more memorable than the drama scenes, and they serve to sway this critic into the recommend side of the ratings scale.
Now you know what you're up against when you see the film, and like its precursor, JURASSIC PARK, you *should* see it on the big screen, or else you'll be wasting a video rental. I think TWISTER might mark the first time where the only real response the heroes have against the enemy (the tornadoes) is to run away, and we cheer for them to do so. It's also the first time since HIS GIRL FRIDAY that an estranged leading couple were so obviously perfect for each other.
And as for tornado-knowledge, this is what I got: if you're in a tornado, just hold on to a big metal pole in the ground and everything will be just fine. Promise.
RATING: ***1/2
|------------------------------| \ ***** Perfection \ \ **** Good, memorable film \ \ *** Average, hits and misses \ \ ** Sub-par on many levels \ \ * Unquestionably awful \ |------------------------------|
-Christopher Null /<EMAIL_ADDRESS>-Screenwriter-Producer / Novelist-Publisher -Visit the Movie Emporium at http://www.filmcritic.com/ -and e-mail requests to join the movie review mailing list
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


All feature together and change it run time
These are simple radio button with three shape
IOS style
There are five pure css animation
There are five colors
Mixed radio config: color with icon and outline
Mixed radio config: color with icon
To remove the border (when checkbox is checked)


Hide instructions
A jQuery+canvas plugin for making random David Carson inspired art!
How to use:
// Call the plugin on document.ready on a given canvas id:
$('#carson').carson();
Override the Options:
- fonts: Array of your fonts.
- width: Number for width of canvas.
- height: Number for height of canvas.
- use_colors: Boolean to make it black and white or randomized colors.
- complexity: Number (1,2,3 or 4) to determine complexity level (higher is more complex).
- use_textures: Boolean if you want textures on or off.
- use_stepped_bars: Boolean if you want to use the technique of having thin stepped lines across the canvas.
- use_random_complexity: Boolean if you want the complexity level to be randomized.
- text: String a string of text to use — you'll likely want to override this.
- textures: Array of your texture filenames (relative filepath is required — e.g: img1.jpg, img2.jpg).
View on GitHub!


Installation¶
Run the following to install:
pip install mldoe
Development¶
To install mldoe, along with the tools you need to develop and run tests, run the following in your virtualenv:
pip install -e .[dev]
To create and activate a virtualenv in Linux, we recommend using the venv
package in python with the following command:
python3 -m venv myenv
source myenv/bin/activate
where myenv
is the name of your virtual environment.


What is AngularJS
AngularJS is a JavaScript framework that helps build applications that run in a web browser.
Who developed AngularJS
Google is the company that developed AngularJS. AngularJS is an open source project, which means it can be be freely used, changed, and shared by anyone.
AngularJS is an excellent framework for building both Single Page Applications (SPA) and Line of Business Applications. Many companies are using Angular today, and there are many public facing web sites that are built with angular.
There is a website, https://www.madewithangular.com, that has the list of web sites that are built using AngularJS. Within this list you can find many popular websites.
What are the benefits of using AngularJS 1. Dependency Injection : Dependency Injection is something AngularJS does quite well. If you are new to Dependency Injection, don't worry, we will discuss it in detail with examples in a later video.
2. Two Way Data-Binding : One of the most useful feature in AngularJS is the Two Way Data-Binding. The Two Way Data-Binding, keeps the model and the view in sync at all times, that is a change in the model updates the view and a change in the view updates the model.
3. Testing : Testing is an area where Angular really shines. Angular is designed with testing in mind right from the start. Angular makes it very easy to test any of it's components through both unit testing and end to end testing. So there's really no excuse for not testing any of your angular application code.
4. Model View Controller : With angular it is very easy to develop applications in a clean MVC way. All you have to do is split your application code into MVC components. The rest, that is managing those components and connecting them together is done by angular.
5. Many more benefits like controlling the behaviour of DOM elements using directives and the flexibility that angular filters provide.
We will discuss directives, filters, Modules, Routes etc with examples in our upcoming videos in this series.
To build angular applications you only need one script file and that is angular.js.
To get the script file visit https://angularjs.org. From here
1. You can download the angular script file
2. CDN link - We discussed the benefits of using CDN in Part 3 of jQuery tutorial.
3. Various resources to learn angular - Here you will find videos, Free courses, Tutorials and Case Studies. You will also find API reference which is extremeley useful.
To get started with angular
1. Add a reference to the angular script
2. Include ng-app attribute
What is ng-app
In angular, ng-app is called a directive. There are many directives in angular. You can find the complete list of directives on https://angularjs.org. The ng prefix in the directive stands for angular. The ng-app directive is a starting point of AngularJS Application. Angular framework will first check for ng-app directive in an HTML page after the entire page is loaded. If ng-app directive is found, angular bootstraps itself and starts to manage the section of the page that has the ng-app directive.
So the obvious next question is, where to place the ng-app directive on the page
It should be placed at the root of the HTML document, that is at the html tag level or at the body tag level, so that angular can control the entire page.
However, there is nothing stopping you from placing it on any other HTML element with in the page. When you do this only that element and it's children are managed by angular.
Double curly braces are called binding expressions in angular.


Would you rather?
Rent a car
Or
Buy a motorcycle
0
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Enter your email address to receive the detailed recomendation.
Also, An Insurnace Professional from Prudential Gh Ltd will contact you to discuss further!
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Contributor’s Guide¶
If you’re reading this, you’re probably interested in contributing to Habu. Thank you very much! Open source projects live-and-die based on the support they receive from others, and the fact that you’re even considering contributing to the Habu project is very generous of you.
This document lays out guidelines and advice for contributing to this project. If you’re thinking of contributing, please start by reading this document and getting a feel for how contributing to this project works. If you have any questions, feel free to reach out with Github issues.
Project Mantainer¶
The current project mantainer is Fabian Martinez Portantier, you can reach him at “fabian” + “@” + “portantier.com”.
Be Cordial¶
Habu has one very important rule governing all forms of contribution, including reporting bugs or requesting features. This golden rule is “be cordial or be on your way”.
All contributions are welcome, as long as everyone involved is treated with respect.
 It helps everyone involved for you to seek feedback as early as you possibly can. Submitting an early, unfinished version of your contribution for feedback in no way prejudices your chances of getting that contribution accepted, and can save you from putting a lot of work into a contribution that is not suitable for the project.
Contribution Suitability¶
Our project maintainers have the last word on whether or not a contribution is suitable for Habu. All contributions will be considered carefully, but from time to time, contributions will be rejected because they do not suit the current goals or needs of the project.
If your contribution is rejected, don’t despair! As long as you followed these guidelines, you will have a much better chance of getting your next contribution accepted.
Code Contributions¶
Steps for Submitting Code¶
When contributing code, you’ll want to follow this checklist:
- Fork the repository on GitHub.
- Run the tests to confirm they all pass on your system. If they don’t, you’ll need to investigate why they fail. If you’re unable to diagnose this yourself, raise it as a bug report by following the guidelines in this document: Bug Reports.
- Write tests that demonstrate your bug or feature. Ensure that they fail.
- Make your change.
- Run the entire test suite again, confirming that all tests pass including the ones you just added.
- Send a GitHub Pull Request to the main repository’s
master
branch. GitHub Pull Requests are the expected method of code collaboration on this project.
The following sub-sections go into more detail on some of the points above.
Code Review¶
Contributions will not be merged until they’ve been code reviewed. You should implement any code review feedback unless you strongly object to it. In the event that you object to the code review feedback, you should make your case clearly and calmly. If, after doing so, the feedback is judged to still apply, you must either apply the feedback or withdraw your contribution.
New Contributors¶
If you are new or relatively new to Open Source, welcome! Habu aims to be a gentle introduction to the world of Open Source. If you’re concerned about how best to contribute, please consider mailing the Project Mantainer and asking for help.
Please also check the Get Early Feedback section.
Code Style¶
The Habu codebase uses the PEP 8 code style.
In addition to the standards outlined in PEP 8, we have a few guidelines:
- Line-length can exceed 79 characters, to 100, when convenient.
- Line-length can exceed 100 characters, when doing otherwise would be terribly inconvenient.
- Always use single-quoted strings unless a single-quote occurs within the string.
All functions, methods, and classes are to contain docstrings. Object data
model methods (e.g. __repr__
) are typically the exception to this rule.
Thanks for helping to make the world a better place!
Documentation Contributions¶
Documentation improvements are always welcome! The documentation files live in
the docs/
directory of the codebase. They’re written in
reStructuredText, and use Sphinx to generate the full suite of
documentation.
When contributing documentation, please do your best to follow the style of the documentation files. This means a soft-limit of 79 characters wide in your text files and a semi-formal, yet friendly and approachable, prose style.
When presenting Python code, use single-quoted strings ('hello'
instead of
"hello"
).
Bug Reports¶
Bug reports are hugely important! Before you raise one, though, please check through the GitHub issues, both open and closed, to confirm that the bug hasn’t been reported before. Duplicate bug reports are a huge drain on the time of other contributors, and should be avoided as much as possible.


PROFESSIONAL PATHWAYS
Choose a pathway! As you journey throughout
Expedition, you will identify as one of the roles below. The pathway you select will determine what you see at each exhibit whenever you scan your card, so choose wisely!
Engineer
Engineers focus on designing
tools for the experiments. As an engineer you
will learn how professional engineers construct and apply these
tools in their careers.
Recommended for: Designers,
Problem Solvers
Biologist
Biologists study living organism
and their influences on their enviroment. As a biologist you
will learn how professional biologists use scientific method
to learn about how living organisms function.
Recommended for: Scientists,
Animal Lovers
Climatologist
Climatologists care about the Earth's
climate and environment. As a climatologist, you will learn about
how scientists are caring for the planet and fighting against
global warming.
Recommended for: Enviromentalists,
Polar Bear Lovers
Please Select a Pathway!


The Code Review
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--- title: "Welcome to Marketing via Technology" subtitle: Views from the intersection of digital marketing and enterprise technology image: /img/mountain-road-1556177_rgb-1.jpg banner: "home" section1: heading: "Demand Marketing" text: "Learn, optimise and engage using modern marketing techniques" link: "marketing" section2: heading: "Digital Transformation" text: "Commentary on enterprise technology and it's impact on business" link: "technology" section3: heading: "Marketing Technology" text: "News and tips from an expert in marketing automation" link: "martech" section4: heading: "News & Current Affairs" text: "Random asides and other off-topic thoughts about sport, politics and global affairs" link: "opinion" ---
I am Alan Chatfield, Senior Digital Marketing Strategist at CRMT.
Welcome to my personal blog. I write about marketing technology and B2B marketing, with a primary focus on how marketers can make the most effective use of their martech stack.
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Hello World


Lafayette Hotel / Website Visit Site
Project:
lafayettehotel.com website redesign
Date:
Early 2013
What I did:
web design, project management
The Lafayette Hotel is a charming riverboat era hotel in Marietta, Ohio. They needed a website that conveyed the old-time elegance of the hotel without seeming too stuffy or luxe—one that paid homage to the hotel's unique history but also encouraged visitors to book.
Recently I hired Jessica to design and develop a property related website for me. Throughout the project she provided clear and insightful recommendations, delivered superb project management, and was an absolute pleasure to work with. The results were amazing with online reservations shooting through the roof and overall really good feedback on the site from guests. I would definitely use her services again!
- Teresa L., Lafayette Hotel
Process
Wireframes
We wanted to keep the templates as simple and reusable as possible; the entire website only uses two templates.
Concepts
Design concepts that didn't make the cut.