fidelity home loan corp
FIDELITY MORTGAGE SERVICES, INC. : Home
The Internet's leading website for home loans, mortgages, electronic lending, and . Fidelity Mortgage Services, Inc. at 28 School St, Branford, CT offers the best .
http://www.fidelitymortgage.com/
Federal Fidelity Mortgage
Feb 13, 2007 . Federal Fidelity Mortgage Corporation is the Mid-Atlantic region's premier . for first homes, investment properties, and home equity loans.
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Fidelity Mortgage Co., Inc. - Home Loans, NJ PA FL
The Internet's leading website for home loans, mortgages, electronic lending, and loans using the best mortgage tools on the Internet. Online shopping for the .
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Things You'll Need
- Certified copies of public records evidence in your case
Instructions
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1
American Fidelity Mortgage Inc. lic.# 134987- Home Mortgage ...
Shop for a loan with our interactive calculators and compare our competitive rates. . customer has specific needs, so here at American Fidelity Mortgage Inc. lic.
http://www.americanfidelitymtg.com/NFM, Inc. - America's common sense Lender
By applying our values of experience, commitment, integrity, and compassion, NFM, Inc. has firmly planted itself in the national home loan marketplace as .
http://nfmlending.com/ -
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AFMSI, Home, Banker Meets Broker
Source for Conventional, FHA, VA and Specialty loan programs. . no money down. American Fidelity Mortgage offers loan programs above and beyond most mortgage lenders. . American Fidelity Mortgage Services, Inc. also does business .
http://www.afmsi.com/Mortgages | Fidelity Bank
At Fidelity Bank, we offer a wide variety of mortgage options that fit your needs. . As an in-house, full service lender, we offer a variety of purchase loan programs. . Lion Symbol, and Logotype are signatures of Fidelity Southern Corporation .
https://www.lionbank.com/banking/mortgage -
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3
Fidelity Home Mortgage Corp. - The Mortgage Lender Implode-O ...
Mar 28, 2008 . Defendants Fidelity Home Mortgage Corp., owner Stilianos ("Stan") . until such time as all loans on our line had been funded/purchased.
http://ml-implode.com/imploded/lender_FidelityHomeMortgageCorp._2008-03-28.html -
4
Stockton Mortgage Corporation
I have learned to appreciate the reliability of a good loan officer. Since I've met Jeff King at Stockton Mortgage, I've found him to be honest, trustworthy, prompt .
http://www.smcapproved.com/Fidelity Mortgage - About Our Staff for Home Mortgages
Apply for a loan with our simple and secure loan application. Fidelity Mortgage Home Loan. Fidelity Mortgage Company offers financing, mortgage and loan services for . Fidelity Mortgage, Inc dba PrimeSource Mortgage Inc. Equal Housing .
http://www.fidelitymtg.com/about.php
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1
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--- layout: page title: Lean Prover Zulip Chat Archive permalink: archive/116395maths/81377Productspaces.html ---
Has anyone written an API for product spaces, e.g. description of topological basis as cylinder sets etc? (I'm aware of the Pi-instance in topology.basic
.) I'm particularly interested in the Cantor spaces 2^I
.


Last September, Egypt was named the worst country out of 22 Arab countries in which to be a woman. During the Arab Spring and subsequently, many women were sexually assaulted or raped. However, some Egyptian women have claimed that this statement is unfair to women in Syria, whose sexual assault is an extension of the conflict that grips the country. It was also suggested that the finding overlooks women in Saudi Arabia that cannot leave their house without male permission. What is difficult is determining the grounds on which you determine the ‘worst’.
Mariam Kirollos, co-founder of Operation Anti-Sexual Harassment/Assault, stated the following to The Huffington Post:
You can’t compare rape in a public square to women being banned from driving a car.
Isn’t it heartbreaking when a crucial discussion focuses on which is worse: not going anywhere without consent from a male relative or being raped amidst thousands of people?
As a journalist I’m always searching for objectivity. About half a year ago I started to do research on women in Islam and the Arab world. As a Western feminist and atheist, but chiefly an idealist, I was looking for truth in places where even the word ‘truth’ has different meanings. As a white female who grew up in the Netherlands, I could not say that I understand what it is like to be a woman in the Middle East. That does not mean I will keep silent about it their suffering. Egyptian women’s advancement does not depend on contributions such as mine, since that would be denigrating towards the strength I believe so many Arab women have. This is simply a show of support.
SEXUAL TERRORISM SILENCES WOMEN
When the Human Rights Watch identifies an ‘epidemic of sexual violence’, it is clear that these attacks go beyond discrete instances of assault. It is about a systemic social problem that implies a large-scale abandonment of adherence to what is right. So that I make myself entirely clear, when a group of men violently attack and rape a woman, that is fundamentally wrong. There is neither credible institution nor doctrine that sanctions such vile and predacious behaviour. What sickens me the most is a common response that the victim is responsible for an attack. Under no circumstances is it acceptable that a woman, victim to an attack, be held responsible for that assault.
Women need to take care of themselves. Unfortunately, that may entail avoiding democratic participation in demonstrations such as those in Tahrir Square. In July 2013, dozens of women were sexually assaulted at Tahrir Square during protesters against deposed President Mohammed Morsi. Similar incidents were witnessed during the January 25 revolution in 2011.
It is unacceptable that a woman should be forced to make the choice between expressing her views in a rally and her personal security. It is a fundamental precept of democracy that no such compromise need be made.
DIGGING UP ROOTS
The question is: how can we empower women when authorities act as if the woman is complicit in her attack? Last week a new anti-sexual-harassment-law was approved by the Cabinet, but the protection it affords is made almost unattainable, since a woman must provide two eyewitnesses to support her claim. A lot of the victims tell stories in the media about how witnesses look away or avoid the incident altogether. To add insult to injury, in some cases the victim must bring their harasser to the police station themselves.
That is the exact problem of the matter. Though this law is a first step in creating a society where a woman has security of person, it is not enough. There is a culture and mentality in Egypt that needs to be changed.
Many women – though there are many local initiatives to change this – do not speak up about their experiences. I do not wish to limit their right to privacy, but I worry about those women the way I think they no doubt worry about their daughters. Would you want your daughter to grow up looking over her shoulder because she has always felt unsafe or victimised by men and that the system of law that should protect her fails miserably? Silence will slow progress.
A PROCESS INSTEAD OF A REVOLUTION
This is not something that changes overnight with revolution. It is a gradual process. As a woman, start to be the protector of your own integrity.  Instead of gossiping about what the woman next door was wearing last time she was abused on the streets, publicly criticise the perpetrator’s crime.
If you want to teach your future daughter self-love and self-respect, start with yourself and the women around you. Unite and speak up for your rights.


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Our approach allows to link long-term sea-level rise to 2030 emission levels, the current maximum time frame for the NDCs under the Paris Agreement. The NDC emissions aggregated for all countries are estimated to result in a range from 49 to 58 Gt CO 2eq yr −1 (ref. 24). This is at the upper range of 2030 emission levels assessed here (full range: 27.5–57.5 Gt CO 2eq yr −1, Supplementary Data 1). Median sea-level rise in 2300 for the four net-zero CO 2 scenarios consistent with the NDCs is between 145 and 164 cm. The four net-zero GHG scenarios consistent with the NDCs show a median sea-level rise in 2300 between 105 and 123 cm. Our 95th percentile estimates indicate a risk of sea-level rise between 4.1 m and 4.8 m for the four NDC-consistent net-zero CO 2 scenarios and between 2.3 and 3 m for the four NDC-consistent net-zero GHG scenarios (Supplementary Data 2). These NDC sea-level estimates rely on stylized emission pathways that successfully reach either net-zero CO 2 or net-zero GHG emissions in the 21st century based on very ambitious annual reduction rates after 2030. Integrated assessment models (IAMs) suggest that 2030 emission levels implied by current NDCs need to be brought down substantially to achieve the Paris Agreement mitigation and long-term temperature goal 25.


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All the while, each stage of the process is in plain view to all. We are excited to provide this valuable service to all varieties of rental housing as well as handymen and contractors. Pricing information for housing entities is available on request.
The ticketfixme.com Team
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The best pictures from the American Music Awards
25 Nov 2019, 07:06
From Taylor Swift making history to Shania Twain rolling back the years, the American Music Awards delivered a string of memorable moments.
During Sunday’s ceremony in Los Angeles, Swift broke Michael Jackson’s record as the most successful artist in AMAs history while Twain brought the curtain down on the evening with a medley of her best-known songs.
A star-studded list of performers – including Lizzo, Billie Eilish and Camila Cabello – ensured it was a night to remember.
Here are some of the best pictures from the ceremony:
Selena Gomez opened the ceremony with a performance of her single Lose You To Love Me, widely believed to be about ex-boyfriend Justin Bieber (Chris Pizzello/Invision/AP)
Fans did their best to record best new artist nominee Lizzo’s performance of her single Jerome (Chris Pizzello/Invision/AP)
Camila Cabello and Shawn Mendes treated fans to a steamy performance of their chart-topping hit Senorita (Chris Pizzello/Invision/AP)
Taylor Swift won six awards on the night and was all smiles as she accepted the gong for favourite pop/rock album for Lover (Chris Pizzello/Invision/AP)
Shawn Mendes and Camila Cabello were celebrating after winning collaboration of the year for Senorita (Chris Pizzello/Invision/AP)
Billie Eilish, 17, continued a year of breakout success as she posed with her two AMAs – for favourite alternative rock artist and new artist of the year (Jordan Strauss/Invision/AP)
Taylor Swift accepted the award for artist of the decade after being introduced by Carole King (Chris Pizzello/Invision/AP)
Post Malone, from background left, Ozzy Osbourne, Travis Scott and Andrew Watt in foreground left, were among the performers at the AMAs (Chris Pizzello/Invision/AP)
British star Dua Lipa performed Don’t Start Now on stage at the AMAs (Chris Pizzello/Invision/AP)
Shania Twain brought the curtain down on this year’s ceremony with a medley of some of her best-known songs (Chris Pizzello/Invision/AP)
Lil Nas X is one of the year’s breakout stars and continued his run of success by picking up the favourite rap/hip-hop song for Old Town Road (Chris Pizzello/Invision/AP)
25 years after winning her first AMA, Toni Braxton performed Un-Break My Heart (Chris Pizzello/Invision/AP)
Billie Joe Armstrong of Green Day saluted fans after the band’s performance at the AMAs (Chris Pizzello/Invision/AP)
Taking to the stage in a outfit living up to his flamboyant reputation, actor Billy Porter introduced a performance by Camila Cabello (Chris Pizzello/Invision/AP)


---
layout: post
title: chessboard room scheme
date: '2013-04-27T19:41:00+02:00'
categories:
- Storyboards
- Atoleiros Battle
- Sketchbooks
picture_url: https://film-Storyboards.tumblr.com/post/49049833022/chessboard-room-scheme
---
Chessboard room scheme.


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This html document is created by Farhad
Collaborative Project - Studio 2


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| The Surveyor mission had been conceived in 1959 as a scheme to soft-land scientific instruments an the Moon's surface. It was a highly ambitious plan that required both development of a radical new launch vehicle and the new technology of a closed-loop, radar-controlled automated landing. The cutaway drawing shows the Atlas-Centaur launch vehicle. The Atlas-Centaur, a major step forward in rocket propulsion, was the first launch vehicle to use the high-energy propellant combination of hydrogen and oxygen. Its new Centaur upper stage, built by General Dynamics, had two Pratt & Whitney RL-10 engines of 15,000-lb thrust each. The first stage was a modified Atlas D having enlarged tanks and increased thrust. |
| The main events in a successful Surveyor landing sequence. |
| The spidery Surveyor consisted of a tubular framework perched an three shock-absorbing footpads. Despite ist queer appearance, it incorporated some of the most sophisticated automatic systems man had ever hurled into space (see specifications below). The first one launched made a perfect soft landing an the Moon, radioing back to Earth a rich trove of imagery and data. Seven were launched in all; one tumbled during course correction, one went mysteriously mute during landing, and the remaining five were unqualified successes. |
| WEIGHT
Weight at launch 2193 lb Landed weight 625 lb |
| POWER
Solar panel: 90 watts Batteries: 230 ampere-hours |
| COMMUNICATIONS
Dual transmitters: 10 watts each |
| GUIDANCE AND CONTROL
Inertial reference: 3-axis gyros Celestial reference: Sun and Canopus sensors Attitude control: cold gas jets Terminal landing: automated closed loop, with radar altimeter and doppler velocity sensor |
| PROPULSION
Main retrorocket: 9000-lb solid fuel Vernier retrorockets: throttable between 30- and 102-lb thrust each |
| TV CAMERA
Focal length: 25 or 100 mm Aperture: f/4 to f/22 Resolution: 1 mm at 4 m |
|
Typical Surveyor Specifications |
| Its insectlike shadow was photographed by Surveyor I on the desolate surface of Oceanus Procellarum. During the long lunar day it shot 10,386 pictures, including the 52 in this mosaic. The noon temperature of 235° F dropped to 250° below zero an hour after the Sun went down. |
| The first lunar soft landing was accomplished by Russia's Luna 9 on February 3, 1966, about 60 miles northeast of the crater Calaverius. Its pictures showed details down to a tenth of an inch five feet away. They indicated no loose dust layer, both rounded and angular rock fragments, numerous small craters, some with slope angles exceeding 40 degrees, and generally granular surface material. These results increased confidence that the Moon was not dangerously soft for a manned landing. |
| Surveyor I televised excellent pictures of the depth of the depression in the lunar soil made by its footpad when it soft-landed on June 2, 1966, four months after Luna 9. Calculations from these and similar images set at rest anxieties about the load-bearing adequacy of the Moon. Some scientists had theorized that astronauts could be engulfed in dangerously deep dust layers, but Surveyor's footpad pictures, as well as the digging done by the motorized scoop on board, indicated that the Moon would readily support the LM and its astronauts. |
| Like a tiny back hoe, the surface sampler fitted to some Surveyors could dig trenches in the lunar soil. Above, the smooth vertical wall left by the scoop indicated the cohesiveness of the fine lunar material. Variations in the amount of current drawn by the sampler motor gave indication of the digging effort needed. At left above, the sampler is shown coming to the rescue when the head of the alpha-scattering instrument failed to deploy on command. After two gentle downward nudges from the scoop, the instrument dropped to the surface. |
| "A dinosaur's skull" was the joking name that Surveyor I controllers used for this rock. Geologists on the team were more solemn: "A rock about 13 feet away, 12 by 18 inches, subangular in shape with many facets slightly rounded. Lighter parts of the rock have charper features, suggesting greater resistance to erosion." |
| Surveyor VI hopped under its own power to a second site about eight feet from its landing spot. This maneuver made it possible to study the effect of firing rocket engines that impinged an the lunar surface. Picture at left below shows a photometric chart attached to an omni-antenna, which was clean after first landing. Afterward, the chart was coated with an adhering layer of fine soil blasted out of the lunar surface. |


{% extends "ui/base.html" %}
{% block page_header %}Overview{% endblock %}
{% block content %}
| Name |
Created |
Actions |
{% for organization in organizations %}
|
{{ organization.name }}
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{% set detail_url = url_for('manager.organization_detail', organization_id=organization.id) %}
{% set delete_url = url_for('manager.organization_delete', organization_id=organization.id) %}
|
{% else %}
| No Items |
{% endfor %}
Clusters
| Organization |
Name |
Provisioner |
Created |
Status |
Actions |
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| Organization |
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{% endblock %}
{% block extrajs %}
{% endblock %}


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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object ch.lambdaj.Lambda
public final class Lambda
This class consists exclusively of static methods that allow to use all the core features of the lambdaj library.
| Method Summary | ||
|---|---|---|
static
|
aggregate(java.lang.Object iterable,
Aggregator<T> aggregator)
Aggregates the items in the given iterable using the given Aggregator . |
|
static
|
aggregate(java.lang.Object iterable,
Aggregator<T> aggregator,
A argument)
For each item in the given iterable collects the value defined by the given argument and then aggregates them iterable using the given Aggregator . |
|
static
|
aggregateFrom(java.lang.Iterable<T> iterable,
Aggregator<A> aggregator)
Returns a lambda function defined as: aggregateFrom : (aggregator, iterable) => lambda : (convert : object => object) => object It is then possibly to curry this function by selecting the convert function that defines how each item must be converted in the object to be aggregated. |
|
static
|
aggregateFrom(java.lang.Iterable<T> iterable,
java.lang.Class<?> clazz,
Aggregator<A> aggregator)
Returns a lambda function defined as: aggregateFrom : (aggregator, iterable) => lambda : (convert : object => object) => object It is then possibly to curry this function by selecting the convert function that defines how each item must be converted in the object to be aggregated. |
|
static
|
argument(T argumentPlaceholder)
Returns the actual argument of the methods invocation sequence defined through the on(Class) method. |
|
static
|
collect(java.lang.Object iterable)
Collects the items in the given iterable putting them in a List. |
|
static
|
collect(java.lang.Object iterable,
T argument)
For each item in the given iterable collects the value defined by the given argument and put them in a List. |
|
static
|
convert(java.lang.Object iterable,
Converter<F,T> converter)
Converts all the object in the iterable using the given Converter . |
|
static
|
extract(java.lang.Object iterable,
T argument)
Converts all the object in the iterable extracting the property defined by the given argument. |
|
static
|
extractProperty(java.lang.Object iterable,
java.lang.String propertyName)
Converts all the object in the iterable extracting the named property. |
|
static java.util.List<java.lang.String> |
extractString(java.lang.Object iterable)
Converts all the object in the iterable in its String representation. |
|
static
|
filter(org.hamcrest.Matcher<?> matcher,
java.lang.Iterable<T> iterable)
Filters all the objects in the given iterable that match the given hamcrest Matcher |
|
static
|
forEach(java.lang.Iterable<? extends T> iterable)
Transforms a collection of Ts in a single object having the same methods of a single instance of T. |
|
static
|
forEach(java.lang.Iterable<? extends T> iterable,
java.lang.Class<?> clazz)
Transforms a collection of Ts in a single object having the same methods of a single instance of T. |
|
static
|
index(java.lang.Object iterable,
T argument)
Indexes the objects in the given iterable on the value of their argument. |
|
static java.lang.String |
join(java.lang.Object iterable)
Joins all the object in the given iterable by concatenating all their String representation. |
|
static java.lang.String |
join(java.lang.Object iterable,
java.lang.String separator)
Joins all the object in the given iterable by concatenating all their String representation. |
|
static
|
joinFrom(java.lang.Iterable<T> iterable)
Returns a lambda function defined as: joinFrom : (concat, iterable) => lambda : (convert : object => object) => string It is then possibly to curry this function by selecting the convert function that defines of each item must be converted in a String. |
|
static
|
joinFrom(java.lang.Iterable<T> iterable,
java.lang.Class<?> clazz)
Returns a lambda function defined as: joinFrom : (concat, iterable) => lambda : (convert : object => object) => string It is then possibly to curry this function by selecting the convert function that defines of each item must be converted in a String. |
|
static
|
joinFrom(java.lang.Iterable<T> iterable,
java.lang.Class<?> clazz,
java.lang.String separator)
Returns a lambda function defined as: joinFrom : (concat, iterable) => lambda : (convert : object => object) => string It is then possibly to curry this function by selecting the convert function that defines of each item must be converted in a String. |
|
static
|
joinFrom(java.lang.Iterable<T> iterable,
java.lang.String separator)
Returns a lambda function defined as: joinFrom : (concat, iterable) => lambda : (convert : object => object) => string It is then possibly to curry this function by selecting the convert function that defines of each item must be converted in a String. |
|
static
|
map(java.lang.Object iterable,
Converter<F,T> converter)
Maps the objects in the given iterable on the value extracted using the given Converter . |
|
static
|
max(java.lang.Object iterable)
Finds the maximum item in the given iterable. |
|
static
|
max(java.lang.Object iterable,
T argument)
Finds the maximum item in the given iterable defined by the given argument. |
|
static
|
maxFrom(java.lang.Iterable<T> iterable)
Returns a lambda function defined as: maxFrom : (max, iterable) => lambda : (convert : object => object) => object It is then possibly to curry this function by selecting the convert function that defines how each item must be converted in the object of which a maximum value needs to be found. |
|
static
|
maxFrom(java.lang.Iterable<T> iterable,
java.lang.Class<?> clazz)
Returns a lambda function defined as: maxFrom : (max, iterable) => lambda : (convert : object => object) => object It is then possibly to curry this function by selecting the convert function that defines how each item must be converted in the object of which a maximum value needs to be found. |
|
static
|
min(java.lang.Object iterable)
Finds the minimum item in the given iterable. |
|
static
|
min(java.lang.Object iterable,
T argument)
Finds the minimum item in the given iterable defined by the given argument. |
|
static
|
minFrom(java.lang.Iterable<T> iterable)
Returns a lambda function defined as: minFrom : (min, iterable) => lambda : (convert : object => object) => object It is then possibly to curry this function by selecting the convert function that defines how each item must be converted in the object of which a minimum value needs to be found. |
|
static
|
minFrom(java.lang.Iterable<T> iterable,
java.lang.Class<?> clazz)
Returns a lambda function defined as: minFrom : (min, iterable) => lambda : (convert : object => object) => object It is then possibly to curry this function by selecting the convert function that defines how each item must be converted in the object of which a minimum value needs to be found. |
|
static
|
on(java.lang.Class<T> clazz)
Constructs a proxy object that mocks the given Class registering all the subsequent invocations on the object. |
|
static
|
select(java.lang.Iterable<T> iterable,
org.hamcrest.Matcher<?> matcher)
Selects all the objects in the given iterable that match the given hamcrest Matcher |
|
static
|
select(java.lang.Object iterable,
org.hamcrest.Matcher<?> matcher)
Selects all the objects in the given iterable that match the given hamcrest Matcher Note that this method accepts an Object in order to be used in conjunction with the forEach(Iterable) . |
|
static
|
selectDistinct(java.lang.Iterable<T> iterable)
Filters away all the duplicated items in the given iterable. |
|
static
|
selectDistinct(java.lang.Object iterable)
Filters away all the duplicated items in the given iterable. |
|
static
|
selectDistinct(java.lang.Object iterable,
java.util.Comparator<T> comparator)
Filters away all the duplicated items in the given iterable based on the given comparator. |
|
static
|
selectDistinct(java.lang.Object iterable,
java.lang.String propertyName)
Selects all the items in the given iterable having a different value in the named property. |
|
static
|
selectDistinctArgument(java.lang.Object iterable,
A argument)
Selects all the items in the given iterable having a different value on the given argument defined using the on method. |
|
static
|
selectFirst(java.lang.Iterable<T> iterable,
org.hamcrest.Matcher<?> matcher)
Selects the first object in the given iterable that matches the given hamcrest Matcher Note that this method accepts an Object in order to be used in conjunction with the forEach(Iterable) . |
|
static
|
selectFirst(java.lang.Object iterable,
org.hamcrest.Matcher<?> matcher)
Selects the first object in the given iterable that matches the given hamcrest Matcher |
|
static
|
selectMax(java.lang.Object iterable,
A argument)
Selects the item in the given iterable having the highest value on the given argument defined using the on method. |
|
static
|
selectMin(java.lang.Object iterable,
A argument)
Selects the item in the given iterable having the lowest value on the given argument defined using the on method. |
|
static
|
selectUnique(java.lang.Iterable<T> iterable,
org.hamcrest.Matcher<?> matcher)
Selects the unique object in the given iterable that matches the given hamcrest Matcher Note that this method accepts an Object in order to be used in conjunction with the forEach(Iterable) . |
|
static
|
selectUnique(java.lang.Object iterable,
org.hamcrest.Matcher<?> matcher)
Selects the unique object in the given iterable that matches the given hamcrest Matcher |
|
static
|
sort(java.lang.Object iterable,
A argument,
java.util.Comparator<A> comparator)
Sorts all the items in the given iterable on the respective values of the given argument comparing them with the given comparator. |
|
static
|
sort(java.lang.Object iterable,
java.lang.Object argument)
Sorts all the items in the given iterable on the respective values of the given argument. |
|
static java.lang.Number |
sum(java.lang.Object iterable)
Sums the items in the given iterable of Numbers or the iterable itself if it actually is already a single number. |
|
static
|
sum(java.lang.Object iterable,
T argument)
Sums the property values of the items in the given iterable defined by the given argument. |
|
static
|
sumFrom(java.lang.Iterable<T> iterable)
Returns a lambda function defined as: sumFrom : (+, iterable) => lambda : (convert : object => number) => number It is then possibly to curry this function by selecting the convert function that defines of each item must be converted in a number. |
|
static
|
sumFrom(java.lang.Iterable<T> iterable,
java.lang.Class<?> clazz)
Returns a lambda function defined as: sumFrom : (+, iterable) => lambda : (convert : object => number) => number It is then possibly to curry this function by selecting the convert function that defines of each item must be converted in a number. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Method Detail |
|---|
public static <T> T on(java.lang.Class<T> clazz)
clazz
- The class of the object to be mocked
public static <T> Argument<T> argument(T argumentPlaceholder)
on(Class)
method.
argumentPlaceholder
- The placeholder for this argument created using the on(Class)
methodpublic static <T> T forEach(java.lang.Iterable<? extends T> iterable)
List personInFamily = asList(new Person("Domenico"), new Person("Mario"), new Person("Irma"));
forEach(personInFamily).setLastName("Fusco");
The actual class of T is inferred from the class of the first iterable's item, but you can
specify a particular class by using the overloaded method.
T
- The type of the items in the iterableiterable
- The iterable to be transformed
An
- IllegalArgumentException if the iterable is null or emptypublic static <T> T forEach(java.lang.Iterable<? extends T> iterable, java.lang.Class<?> clazz)
List personInFamily = asList(new Person("Domenico"), new Person("Mario"), new Person("Irma"));
forEach(personInFamily, Person.class).setLastName("Fusco");
The given class represents the proxied by the returned object, so it should be a superclass of all the objects in the iterable.
This overloaded version should be always used when it is not insured that the given iterable is null or empty.
T
- The type of the items in the iterableiterable
- The iterable to be transformedclazz
- The class proxied by the returned object
public static <T> java.util.List<? extends T> collect(java.lang.Object iterable)
forEach(Iterable)
.
iterable
- The iterable of which the items should be collected
A
- IllegalArgumentException if the iterable is not an Iterable or a Mappublic static <T> java.util.List<T> collect(java.lang.Object iterable, T argument)
List myFriends = asList(new Person("Biagio", 39), new Person("Luca", 29), new Person("Celestino", 29));
List ages = collect(meAndMyFriends, on(Person.class).getAge());
extracts the ages of all the Persons in the list and put them in a List of Integer.
Actually it treats also Maps as Iterables by collecting their values.
Note that this method accepts an Object in order to be used in conjunction with the forEach(Iterable)
.
iterable
- The iterable of which the items should be collectedargument
- An argument defined using the on(Class)
method
A
- RuntimeException if the iterable is not an Iterable or a Mappublic static <T> java.util.List<T> sort(java.lang.Object iterable, java.lang.Object argument)
forEach(Iterable)
.
iterable
- The iterable of objects to be sortedargument
- An argument defined using the on(Class)
method
public static <T,A> java.util.List<T> sort(java.lang.Object iterable, A argument, java.util.Comparator<A> comparator)
forEach(Iterable)
.
iterable
- The iterable of objects to be sortedargument
- An argument defined using the on(Class)
methodcomparator
- The comparator to determine the order of the list. A null value indicates that the elements' natural ordering should be used
public static <T> java.util.List<T> filter(org.hamcrest.Matcher<?> matcher, java.lang.Iterable<T> iterable)
iterable
- The iterable of objects to be filteredmatcher
- The hamcrest Matcher used to filter the given iterable
public static <T> java.util.List<T> select(java.lang.Iterable<T> iterable, org.hamcrest.Matcher<?> matcher)
iterable
- The iterable of objects to be filteredmatcher
- The hamcrest Matcher used to filter the given iterable
public static <T> java.util.List<T> select(java.lang.Object iterable, org.hamcrest.Matcher<?> matcher)
forEach(Iterable)
.
iterable
- The iterable of objects to be filteredmatcher
- The hamcrest Matcher used to filter the given iterable
public static <T> T selectUnique(java.lang.Object iterable, org.hamcrest.Matcher<?> matcher)
iterable
- The iterable of objects to be filteredmatcher
- The hamcrest Matcher used to filter the given iterable
A
- Runtime Exception if there is more than one object that matches the given hamcrest Matcherpublic static <T> T selectUnique(java.lang.Iterable<T> iterable, org.hamcrest.Matcher<?> matcher)
forEach(Iterable)
.
iterable
- The iterable of objects to be filteredmatcher
- The hamcrest Matcher used to filter the given iterable
A
- Runtime Exception if there is more than one object that matches the given hamcrest Matcherpublic static <T> T selectFirst(java.lang.Object iterable, org.hamcrest.Matcher<?> matcher)
iterable
- The iterable of objects to be filteredmatcher
- The hamcrest Matcher used to filter the given iterable
public static <T> T selectFirst(java.lang.Iterable<T> iterable, org.hamcrest.Matcher<?> matcher)
forEach(Iterable)
.
iterable
- The iterable of objects to be filteredmatcher
- The hamcrest Matcher used to filter the given iterable
public static <T> java.util.Collection<T> selectDistinct(java.lang.Iterable<T> iterable)
iterable
- The iterable of objects to be filtered
public static <T> java.util.Collection<T> selectDistinct(java.lang.Object iterable)
forEach(Iterable)
.
iterable
- The iterable of objects to be filtered
public static <T> java.util.Collection<T> selectDistinct(java.lang.Object iterable, java.lang.String propertyName)
forEach(Iterable)
.
iterable
- The iterable of objects to be filteredpropertyName
- The name of the item's property on which the item must have no duplicated value
public static <T,A> java.util.Collection<T> selectDistinctArgument(java.lang.Object iterable, A argument)
forEach(Iterable)
.
iterable
- The iterable of objects to be filteredargument
- An argument defined using the on(Class)
method
public static <T> java.util.Collection<T> selectDistinct(java.lang.Object iterable, java.util.Comparator<T> comparator)
forEach(Iterable)
.
iterable
- The iterable of objects to be filteredcomparator
- The comparator used to decide if 2 items are different or not
public static <T,A> T selectMin(java.lang.Object iterable, A argument)
forEach(Iterable)
.
iterable
- The iterable of objects to be filteredargument
- An argument defined using the on(Class)
method
public static <T,A> T selectMax(java.lang.Object iterable, A argument)
forEach(Iterable)
.
iterable
- The iterable of objects to be filteredargument
- An argument defined using the on(Class)
method
public static <T> T aggregate(java.lang.Object iterable, Aggregator<T> aggregator)
Aggregator
.
Note that this method accepts an Object in order to be used in conjunction with the forEach(Iterable)
.
iterable
- The iterable of numbers to be summedaggregator
- The function that defines how the objects in this iterable have to be aggregated
A
- RuntimeException if the iterable is not an Iterablepublic static <T,A> T aggregate(java.lang.Object iterable, Aggregator<T> aggregator, A argument)
Aggregator
.
Note that this method accepts an Object in order to be used in conjunction with the forEach(Iterable)
.
iterable
- The iterable of numbers to be summedaggregator
- The function that defines how the objects in this iterable have to be aggregatedargument
- An argument defined using the on(Class)
method
A
- RuntimeException if the iterable is not an Iterablepublic static <T,A> T aggregateFrom(java.lang.Iterable<T> iterable, Aggregator<A> aggregator)
iterable
- The iterable of the objects to containing the property to be aggregated.aggregator
- The function that defines how the objects in this iterable have to be aggregated
An
- IllegalArgumentException if the iterable is null or emptypublic static <T,A> T aggregateFrom(java.lang.Iterable<T> iterable, java.lang.Class<?> clazz, Aggregator<A> aggregator)
iterable
- The iterable of the objects to containing the property to be aggregated.clazz
- The class proxied by the returned objectaggregator
- The function that defines how the objects in this iterable have to be aggregated
public static java.lang.Number sum(java.lang.Object iterable)
forEach(Iterable)
.
iterable
- The iterable of numbers to be summed
An
- IllegalArgumentException if the iterable is not neither an Iterable nor a Numberpublic static <T> T sum(java.lang.Object iterable, T argument)
forEach(Iterable)
.
iterable
- The iterable of items containing the property of which the values have to be summed.argument
- An argument defined using the on(Class)
method
An
- IllegalArgumentException if the iterable is not an Iterablepublic static <T> T sumFrom(java.lang.Iterable<T> iterable)
int totalAge = sumFrom(persons).getAge();
The actual class of T is inferred from the class of the first iterable's item, but you can
specify a particular class by using the overloaded method.
iterable
- The iterable of the objects to containing the property to be summed.
An
- IllegalArgumentException if the iterable is null or emptypublic static <T> T sumFrom(java.lang.Iterable<T> iterable, java.lang.Class<?> clazz)
int totalAge = sumFrom(persons, Person.class).getAge();
This overloaded version should be always used when it is not insured that the given iterable is null or empty.
iterable
- The iterable of the objects to containing the property to be summed.clazz
- The class proxied by the returned object
public static <T> T min(java.lang.Object iterable)
forEach(Iterable)
.
iterable
- The iterable of numbers to be summed
An
- IllegalArgumentException if the iterable is not an Iterablepublic static <T> T min(java.lang.Object iterable, T argument)
forEach(Iterable)
.
iterable
- The iterable of objects on which the minimum should be foundargument
- An argument defined using the on(Class)
method
An
- IllegalArgumentException if the iterable is not an Iterablepublic static <T> T minFrom(java.lang.Iterable<T> iterable)
int minAge = maxFrom(persons).getAge();
The actual class of T is inferred from the class of the first iterable's item, but you can
specify a particular class by using the overloaded method.
iterable
- The iterable of objects on which the minimum should be found
An
- IllegalArgumentException if the iterable is null or emptypublic static <T> T minFrom(java.lang.Iterable<T> iterable, java.lang.Class<?> clazz)
int minAge = minFrom(persons).getAge();
This overloaded version should be always used when it is not insured that the given iterable is null or empty.
iterable
- The iterable of the objects containing the property of which the minimum should be found.clazz
- The class proxied by the returned object
public static <T> T max(java.lang.Object iterable)
forEach(Iterable)
.
iterable
- The iterable of objects on which the maximum should be found
An
- IllegalArgumentException if the iterable is not an Iterablepublic static <T> T max(java.lang.Object iterable, T argument)
forEach(Iterable)
.
iterable
- The iterable of objects on which the maximum should be foundargument
- An argument defined using the on(Class)
method
An
- IllegalArgumentException if the iterable is not an Iterablepublic static <T> T maxFrom(java.lang.Iterable<T> iterable)
int maxAge = maxFrom(persons).getAge();
The actual class of T is inferred from the class of the first iterable's item, but you can
specify a particular class by using the overloaded method.
iterable
- The iterable of objects on which the maximum should be found
An
- IllegalArgumentException if the iterable is null or emptypublic static <T> T maxFrom(java.lang.Iterable<T> iterable, java.lang.Class<?> clazz)
int maxAge = maxFrom(persons).getAge();
This overloaded version should be always used when it is not insured that the given iterable is null or empty.
iterable
- The iterable of the objects containing the property of which the maximum should be found.clazz
- The class proxied by the returned object
public static <T> T joinFrom(java.lang.Iterable<T> iterable)
String names = joinFrom(persons).getFirstName();
The actual class of T is inferred from the class of the first iterable's item, but you can
specify a particular class by using the overloaded method.
iterable
- The iterable of the objects to containing the property to be joined.
An
- IllegalArgumentException if the iterable is null or emptypublic static <T> T joinFrom(java.lang.Iterable<T> iterable, java.lang.String separator)
String names = joinFrom(persons, " - ").getFirstName();
The actual class of T is inferred from the class of the first iterable's item, but you can
specify a particular class by using the overloaded method.
iterable
- The iterable of the objects to containing the property to be joined.separator
- The String used to separe the Strings produced by this lambda function
An
- IllegalArgumentException if the iterable is null or emptypublic static <T> T joinFrom(java.lang.Iterable<T> iterable, java.lang.Class<?> clazz)
String names = joinFrom(persons, Person.class).getFirstName();
The actual class of T is inferred from the class of the first iterable's item, but you can
specify a particular class by using the overloaded method.
This overloaded version should be always used when it is not insured that the given iterable is null or empty.
iterable
- The iterable of the objects to containing the property to be joined.clazz
- The class proxied by the returned object
public static <T> T joinFrom(java.lang.Iterable<T> iterable, java.lang.Class<?> clazz, java.lang.String separator)
String names = joinFrom(persons, Person.class, " - ").getFirstName();
The actual class of T is inferred from the class of the first iterable's item, but you can
specify a particular class by using the overloaded method.
This overloaded version should be always used when it is not insured that the given iterable is null or empty.
iterable
- The iterable of the objects to containing the property to be joined.clazz
- The class proxied by the returned objectseparator
- The String used to separe the Strings produced by this lambda function
public static java.lang.String join(java.lang.Object iterable)
forEach(Iterable)
.
iterable
- The iterable containing the objects to be joined
public static java.lang.String join(java.lang.Object iterable, java.lang.String separator)
forEach(Iterable)
.
iterable
- The iterable containing the objects to be joinedseparator
- The String used to separe the item's String representation
public static <F,T> java.util.List<T> convert(java.lang.Object iterable, Converter<F,T> converter)
Converter
.
Note that this method accepts an Object in order to be used in conjunction with the forEach(Iterable)
.
iterable
- The iterable containing the objects to be convertedconverter
- The converter that specifies how each object in the iterable must be converted
Converter
public static <F,T> java.util.List<T> extract(java.lang.Object iterable, T argument)
forEach(Iterable)
.
iterable
- The iterable containing the objects to be convertedargument
- An argument defined using the on(Class)
method
public static java.util.List<java.lang.String> extractString(java.lang.Object iterable)
forEach(Iterable)
.
iterable
- The iterable containing the objects to be converted in strings
public static <F,T> java.util.List<T> extractProperty(java.lang.Object iterable, java.lang.String propertyName)
forEach(Iterable)
.
iterable
- The iterable containing the objects to be convertedpropertyName
- The name of the item's property on which the item must have no duplicated value
public static <F,T> java.util.Map<T,F> map(java.lang.Object iterable, Converter<F,T> converter)
Converter
.
Note that this method accepts an Object in order to be used in conjunction with the forEach(Iterable)
.
iterable
- The iterable containing the objects to be mappedconverter
- The converter that specifies the key on which each object should be mapped
public static <F,T> java.util.Map<T,F> index(java.lang.Object iterable, T argument)
forEach(Iterable)
.
iterable
- The iterable containing the objects to be indexedargument
- An argument defined using the on(Class)
method
|
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| Full Name | Power Ranking | Course Fit | Similar Course | Tournament History | Recent Performance | Total | DK Salary | Scoring Avg |
|---|---|---|---|---|---|---|---|---|
| Full Name | Power Ranking | Course Fit | Similar Course | Tournament History | Recent Performance | Total | DK Salary | Scoring Avg |
| Full Name | Power Ranking | Course Fit | Similar Course | Tournament History | Recent Performance | Total | DK Salary | Scoring Avg |
|---|---|---|---|---|---|---|---|---|
| Full Name | Power Ranking | Course Fit | Similar Course | Tournament History | Recent Performance | Total | DK Salary | Scoring Avg |


| 17 Jun 1950 |
Ethel Skakel marries Robert F. Kennedy, St. Mary's Church, Greenwich CT. |
| 19 Sep 1960 |
Michael Skakel born to Anne Skakel, Ethel Skakel's sister-in-law. |
| 31 Oct 1975 |
Martha Moxley found dead in her backyard, beaten with a golf club. The weapon (a 6-iron) had been used so roughly that the shaft had shattered, and a piece of it was stabbed in her neck. |
| 1991 |
During the trial of William Kennedy Smith, rumors begin to arise that Smith has insider information on the Moxley case. This causes the case to be re-opened (or more accurately, re-investigated) and for many of the principals to be pursued or interviewed by the press. |
| May 1993 |
Dominick Dunne's A Season in Purgatory is published. A fictionalized account of the Moxley case, it again reignites some interest in the press about the original unsolved murder. |
| 9 May 1998 |
The Associated Press reports that Detective Mark Fuhrman's (yes, that's the O.J. Simpson Mark Furhman) new book, Murder in Greenwich, names Michael Skakel as the murderer of Martha Moxley. Investigator Frank Garr says "Fuhrman has the luxury of not having to back up anything he says so he can name anybody he wants and he can say anything he wants in that book", and that the book is "loaded with inaccuracies". |
| 7 Jun 2002 |
Michael Skakel convicted of murder, Stamford CT. |
| Sep 2003 |
Michael Skakel's lawyers claim to have produced an alternate theory to the crime, including statements made by Gitano "Tony" Bryant (Kobe Bryant's cousin) that two friends claimed they were going to attack a woman "caveman style" that night. |
| 25 Nov 2003 |
Attorneys for Michael Skakel file an appeal to overturn his 2002 conviction. The lawyers claim that the case should never have gone to Superior Court instead of Juvenile court, that the statute of limitations had expired (on murder?) and that prosecutors misconducted during their closing arguments. |


Hi,
The article is really helpful.
The example that you have explained is of fixed size data type.
How we can order the columns of variable length types like varchar,char,text,numeric, bytes etc?


Useful getting all js links:
wget -nd -rH -A js --spider domain/page 2>&1 | grep '^--.*\.js' | awk '{print $3}'
can use fcrackzip for password protected ZIP files
Another possibility is a utility like zip2john or other
mongo CLI:
mongo -p -u mark <db>
db.<table>.insert #insert
If you SUID a dash/bash/sh binary, you may also need to invoke it with -p. See below from the ksh man page:
A shell is privileged if the -p option is used or if the real user-id or group-id does not match the effective user-id or group-id (see getuid(2), getgid(2)). A privileged shell does not process $HOME/.profile nor the ENV parameter (see below), instead the file /etc/suid_profile is processed. Clearing the privileged option causes the shell to set its effective user-id (group-id) to its real user-id (group-id).
radare2 again:
see cheatsheets
strace
strace <binary> and look at what it's calling/crashing (without the granularity of a debugger, but still very useful)
Another super fun way to bypass direct blacklist filtering is to use question marks. Most linux distributions will evaluate
/root
and
/r??t
both as valid forms of /root. In this case, /r??t/roo?.txt can get the fllag, but the idea of bypassing using question marks remains the same
Symlinks are fun as well, whether on directories or files :)
Good to read: nrpe cve command injection
CMD injection using newline characters
example: backup requires 3 parameters, the 3rd param of backup is being passed into this command: zip -r -p magicword %s %s > /dev/null. With bash newline breaks, we can pass
"junk
> /bin/bash
> junk"
and it will drop us into a shell
The third junk param is required to send junk > /dev/null instead of the output of /bin/bash.
another way is to use printf to insert your newlines
Used the ASLR brute ret2libc template from October, in Useful Artifacts below


{{ report?.org?.name }}: {{ report?.asset?.name }} &
{{ report?.assessment?.name }} Application Security Report
{{ report?.assessment?.startDate | date: 'shortDate':'UTC' }} -
{{ report?.assessment?.endDate | date: 'shortDate':'UTC' }}
The {{ report?.companyName }} Application Security Team performed a
security assessment on {{ report?.asset?.name }} &
{{ report?.assessment?.name }} (the application) on
{{ report?.assessment?.startDate | date: 'shortDate':'UTC' }}. The security
assessment lasted {{ numOfDays }} days and ended on
{{ report?.assessment?.endDate | date: 'shortDate':'UTC' }}. This report
contains detailed information about security vulnerabilities found during
the assessment.
Executive Summary
{{ report?.assessment?.executiveSummary }}
Application Security Team
| Name |
Position |
| {{ tester?.firstName }} {{tester?.lastName}} |
{{ tester?.title }} |
OWASP Risk Rating
Summary of Findings
| Finding |
Overall Risk Severity |
Status |
| {{ vuln?.name }} |
{{ vuln?.risk }} |
{{ vuln?.status }} |
No vulnerabilities were found during this assessment.


The Compress (Zip) function is used to compress data. When the Zip function is selected, the content of the current document is compressed and the result is presented in a new window. The original document can be restored at a later time by selecting the UnZip function.
There are a number of data compression algorithms available. CrypTool uses the GnuZip algorithm.
Before the results are presented in a new window, the rate of compression is shown. The rate of compression states the percentage by which it has been possible to compress (i.e. reduce) a document. If the rate of compression is 10%, then the compressed document is 10% shorter than the uncompressed version. With short documents or documents that have already been compressed it is possible for the compressed document to actually be a few characters longer. This is expressed as a negative rate of compression. Thus, if the rate of compression is -10%, then the compressed document is 10% longer than the uncompressed version.
As well as their smaller size, a second characteristic of compressed files is that if they contain text written in natural language, the redundancy of the data is reduced. Normally this will make an attack more difficult. For this reason the PGP (Pretty Good Privacy) encryption program, for example, compresses the data prior to actually encrypting it. The packets containing encrypted text are thus generally significantly smaller as a result while at the same time they are more secure.
The Examples chapter contains an example in which the key can be found in a Ciphertext-Only attack if the document has been encrypted using the Exclusive-OR, but not if the document has been previously compressed.
Remark 1:
In order to recognize the document as compressed the keyword "CTZ" is attached at the beginning.
Remark 2:
If you save documents compressed with CrypTool in a file, you cannot decrypt them using tools like unzip or Winzip, even if you are deleting the three magic characters at the beginning.
Productively applicable compression programs support a multitude of different algorithms for data compression and archiving, i.e. to create ZIP or RAR archives. A fixed data structure is defined so that programs can process these compressed archives. These data structures consist of a header (information about the compressed data) and a body (the compressed data itself).
Due to the complexity, a complete ZIP-compatible implementation amounts to an enormous effort. Such an implementation is not planned for CrypTool. You can find an up-to-date ZIP specification at http://www.info-zip.org/FAQ.html. For example, this specification is also implemented in open-source programs like 7-ZIP (http://www.7-zip.org/).


Preparation time
over 2 hours
Cooking time
less than 10 mins
Serves
Serves 4
This tropical mousse is simple to make and contains no added sugar, proving that life without sugar can still be sweet.
Equipment and preparation: for this recipe you will need a food processor.
This mousse provides 252 kcal, 1.8g protein, 16g carbohydrate (of which 16g sugars), 20g fat (of which 13g saturates), 4g fibre and 0g salt per portion.
Half fill a bowl with cold water and add the gelatine sheets one at a time. Leave to soak for 5 minutes.
Cut the mango in half either side of the large flat stone. Using a large spoon, scoop out the flesh and put into a food processor. Add the lime zest and blend until as smooth as possible. This may take a couple of minutes.
Put 5 tablespoons water in a small saucepan and heat very gently until lukewarm. Lift the gelatine sheets out of the cold water with your fingers and carefully drop into the warm water, stir vigorously with a wooden spoon for a few seconds until the gelatine dissolves. Remove from the heat.
Whip the cream using an electric whisk in a large bowl until it stands in fairly stiff peaks.
With the motor running on the food processor, pour the gelatine solution slowly onto the mango purée and pulse until completely combined.
Put 6 tablespoons of the mango purée in a small bowl. Add the remaining purée to the whipped cream and whisk together lightly until smooth.
Spoon half the mango cream into four glass tumblers and spoon half the mango purée on top. Spoon the rest of the mango cream on top then finish with the remaining purée. Cover the dishes with cling film and chill for at least 3 hours before serving.


CHILD SPECIALISTS
Hover over the image below:
TRISHA
CHILD SPECIALIST
APOLLO HOSPITALS
Hover over the image below:
TSWETHA
CHILD SPECIALIST
APOLLO HOSPITALS


This documentation provide summary and notes on implementation of SMTP service extension for secure SMTP over Transport Layer Security (TLS) as defined in RFC3207.
1. Service Extension
The EHLO keyword value associated with the extension is "STARTTLS" with no parameter.
A new SMTP command "STARTTLS" is defined.
A publicly-referenced SMTP server (on port 25) MUST NOT require use of the STARTTLS extension in order to deliver mail locally.
2. STARTTLS command
2.1. Request
"STARTTLS" CRLF
2.1.1. Success Response
"220" SP *text CRLF
After receiving a 220 response to a STARTTLS command, the client MUST start the TLS negotiation before giving any other SMTP commands. If, after having issued the STARTTLS command, the client finds out that some failure prevents it from actually starting a TLS handshake, then it SHOULD abort the connection.
2.1.2. Error Response
-
454 TLS not available due to temporary reason
-
501 Syntax error (no parameters allowed)
If the client receives the 454 response, the client must decide whether or not to continue the SMTP session.
A SMTP server that is not publicly referenced may choose to require that the client perform a TLS negotiation before accepting any commands. In this case, the server SHOULD return the reply code:
"530 Must issue a STARTTLS command first" CRLF
to every command other than NOOP, EHLO, STARTTLS, or QUIT. If the client and server are using the ENHANCEDSTATUSCODES ESMTP extension [RFC2034], the status code to be returned SHOULD be 5.7.0.
3. Post TLS Handshake
3.1. Client
The client MUST discard any knowledge obtained from the server, such as the list of SMTP service extensions, which was not obtained from the TLS negotiation itself. The client SHOULD send an EHLO command as the first command after a successful TLS negotiation.
The list of SMTP service extensions returned in response to an EHLO command received after the TLS handshake MAY be different than the list returned before the TLS handshake.
A client MUST NOT attempt to start a TLS session if a TLS session is already active.
3.2. Server
The server MUST discard any knowledge obtained from the client, such as the argument to the EHLO command, which was not obtained from the TLS negotiation itself.
A server MUST NOT return the STARTTLS extension in response to an EHLO command received after a TLS handshake has completed.
4. Security Considerations
If the SMTP client decides that the level of authentication or privacy is not high enough for it to continue, it SHOULD issue an SMTP QUIT command immediately after the TLS negotiation is complete.
If the SMTP server decides that the level of authentication or privacy is not high enough for it to continue, it SHOULD reply to every SMTP command from the client (other than a QUIT command) with,
"554 Command refused due to lack of security" CRLF
the server may choose to not accept any more SMTP commands.


Socialize With Me!
Connect with me on linkedin
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Follow me on flickr
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Add me on facebook


In collaboration with Philips Respironics, I worked on a team as a product developer for Smart Hammer Innovation. Over an 8 week accelerator program, the cross-functioning team explored innovative technologies that could be used for teen sleep applications. We conducted research, created personas, designed a co-create session, and created low-fidelity prototypes. I am unable to discuss our findings and final solution concept per NDA.
Phillip Harding, Kyle Steiner, Kedi Zhang
Adolescence is a pivotal phase in human development. Teens experience physiological and psychological changes that impact their circadian rhythm and affect sleep quality. Environmental factors such as increased screen-time, societal pressures, and extracurriculars further affect sleep quality. Through a comprehensive evaluation of competing products, we identified a need for a sleep solution tailored for teens. We aimed to ideate solutions that would improve sleep without changing established routines before bedtime. To do this, we conducted online surveys with over 100 responses in our target demographic. These responses helped us ideate solutions and develop a 1 hour co-create like session that would be conducted with teens in our target age demographic.
The culmination of our 8 week accelerator resulted in a physical product that aimed towards teens ages 11-16. I was responsible for designing the CAD mockups that would be passed on to Philips Respironics along with our research findings. The image on the right is an early concept rendering of the design, not the final product.
Early Concept Rendering


27-28 April 2015
Santa Clara University
Santa Clara, California
ISSC
2015
This year's Interplanetary Small Satellite Conference conference will take place at the Santa Clara University on 27-28 April, 2015. As in years past, this conference is organized by students, alumni, and staff from Caltech, MIT, Cornell, the University of Michigan, and JPL. We look forward to welcoming the community back to Santa Clara to explore mission concepts, discuss emerging technologies, and foster “outside the box” thinking that will be critical to future interplanetary small satellite missions.
Announcements
Both days of the conference will be live streamed online.
The conference program, presentation schedule, and booklet are not yet available online.
The deadline to submit presentations is February 15, 2015. Click here to submit your abstract.
A map of the conference and Santa Clara campus can be found here.
Important Dates
February 15, 2015 Presentation Submission Deadline
April 27-28, 2015 Conference


Form 6 pupil gives birth during examination
by Staff ReporterA Form 6 pupil at Danhamombe High School had to be rushed to Chivi Rural Hospital after she allegedly gave birth during a Shona examination.
School head Emmanuel Muvengi confirmed the incident but said the girl, identified as Hazel Titos, delivered at the hospital.
“I am not authorised to speak to the media but the girl did not give birth in the examination room. She was rushed to the hospital where she delivered her baby. If you want more information please get in touch with my superiors,” said Muvengi.
Provincial Education Director (PED) Zediaus Chitiga said he was yet to get a report on the matter.
“You are breaking the news to me. If it happened then the report will eventually reach my office but right now it will still be handled at district level.
“The district will do thorough investigations before submitting a report,” said Chitiga.
Other sources, however, said Titos started complaining about abdominal pains during the examination and is said to have lied to the invigilators that she was having her monthly flow.
Thirty minutes into the examination, Titos is said to have fallen off the chair and her water broke.
Female teachers then realised that Titos was in labour and asked male teachers and other pupils to exit the room so that they could help her.
The examination had to be delayed and female teachers are said to have helped Titos deliver her baby safely before taking her to the hospital where she later finished her examination.
Titos is said to have given birth to a premature baby who was seven months.
When asked who the father of the baby was, Titos is said to have told the nurses that it was Tawanda Mudziwedare who stayed at the same house with the pupils.
Titos came from Muregeri village, some distance away from Danhamombe High School, and she was renting at the Madziware homestead where she was impregnated.
Source – tellzim


Creating a New Assessment for {{newAssessment.group}}
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For each section below, please click to select which most closely matches the COE's existing delivery level.
Readiness activities support ongoing technical readiness across the organization
Delivery activities enhance delivery capability through reusable IP and processes
Business Development strengthen business development capabilities
A score is determined for each assessment. Each tile has a value of 1 through 4, corresponding to the "Basic" through "Dynamic" column headers. The score is calculated by averaging the values of each answer, with the most mature score possible being a perfect 4 (averaging together all values of "4" for Dynamic)
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Optional.ofNullable()
where always null or always not-null argument is passed.
There's no point in using Optional.ofNullable()
in this case: either Optional.empty()
or Optional.of()
should be used to explicitly state the intent of creating an always-empty
or always non-empty optional respectively. It's also possible that there's a mistake in
Optional.ofNullable()
argument, so it should be examined.
Example:
Optional<String> empty = Optional.ofNullable(null); // should be Optional.empty();
Optional<String> present = Optional.ofNullable("value"); // should be Optional.of("value");


---
layout: post
title: Nuno Álvares Pereira
date: '2014-10-24T07:30:18+02:00'
categories:
- Aljubarrota
- Storyboards
picture_url: https://film-Storyboards.tumblr.com/post/100824922150/nuno-álvares-pereira-leading-troops-towards
---
Nuno Álvares Pereira leading troops towards Aljubarrota Battle.


All functions
|
|
abra
|
Subset of Abra alba data from OBIS. |
|
calculate_centroid
|
Calculates the centroid and radius of a WKT geometry. |
|
check_depth
|
Check which points have potentially invalid depths. |
|
check_eventdate
|
Check eventDate format. |
|
check_eventids
|
Check if eventID and parentEventID are present, and parentEventIDs have corresponding eventIDs. |
|
check_extension_eventids
|
Check if all eventIDs in an extension have corresponding eventIDs in the core. |
|
check_fields
|
Check if the required and recommended OBIS fields are present. |
|
check_onland
|
Check which points are located on land. |
|
check_outliers_dataset
|
Check which points are spatial dataset outliers. |
|
check_outliers_species
|
Check which points are spatial dataset outliers. |
|
event_fields
|
Event Core fields. |
|
exportTree
|
Exports a visual representation of a tree to an HTML file. |
|
flatten_event
|
Flatten event records. |
|
flatten_occurrence
|
Flatten event and occurrence records. |
|
hyperbenthos
|
Hyperbenthic communities of the North Sea. |
|
identify_map
|
Deprecated: Identify a point on a map. |
|
lookup_xy
|
Lookup spatial data for a set of points. |
|
map_fields
|
Map column names. |
|
match_taxa
|
Taxon matching using WoRMS. |
|
obistools
|
obistools: Data Enhancement and Quality Control of Marine Species Observations |
|
occurrence_fields
|
Occurrence Core fields. |
|
plot_map_leaflet
|
Create a Leaflet map. |
|
plot_map
|
Plot occurrences on a map. |
|
plot_outliers
|
Plot spatial and environmental outliers |
|
report_summary
|
Creates a summary of a data quality report. |
|
report
|
Creates a basic data quality report. |
|
treeStructure
|
Generate a tree summarizing the dataset structure, based on measurement types and event remarks. |


CindyJS: 2 dimensional FFT by iterating a texture operation
Drag and drop an image into this area. Each image is generated by a FFT of the image on its left.


--- layout: frontpage --- {% include JB/setup %}
A comprehensive index of all available Open Data for Greece


{% extends "browser/layout.html" %} {% block title %}Home{% endblock %} {% block body %}
There are no posts to view.


Fin
Index
<<
>>
A History of APL in 50 Functions
, to appear, 2016-11-27
http://www.jsoftware.com/papers/50


will_deutsch_krav_maga_judaism_jews_jewish_art.jpg http://notesfromthetribe.bigcartel.com/product/jewish-art-8-5-x11-krav-maga-print
When I was in 3rd grade I was taught how to use an abacus.
For the uninitiated, an abacus is a calculating tool that was adopted before written numeral systems and used beans or stones in grooved mechanisms to perform basic arithmetic.
Three days were dedicated to this particular subject.
Real abacuses were brought in and we were tested on our ability to solve addition and subtraction problems by sliding the beads back and forth on a wire frame.
It was explained to us that though we had fancy Texas Instrument solar powered calculators it was essential to know how to do math without them.
Conversely, around that same age I was also enrolled in a Tae Kwon Do class.
I grew up in the age of the Karate Kid and anything that involved wearing a gi had my full attention.
Moreover, as a small, oft picked on child with an older brother and a younger sister this was knowledge that was directly applicable to my life.
Finally I was learning something that I could actually use.
At long last, not only would I be able to defend myself but also physically intimidate those who stood in my way.
No longer would I be at the mercy of those who wished to take my seat on the bus or cut in front of me in line.
All who wished to bully me would know my wrath.
So when I was told by my Sensei during the first day of class that I was to learn the martial arts so that I would ‘never have to use them’ the idea seemed patently absurd. Did this man not know the definition of his own subject? This was the art of war for crying out loud! Furthermore, if I did not intend to use it why would I or any other small child be taking this class? Did he understand the amount of ridicule you get as the child who hasn’t hit his growth spurt? Had he not seen the end of the Karate Kid when a beaten and bruised Daniel Laruso busts out a crane kick to defeat the Cobra Kai Dojo and defend his honor (Cue Joe Esposito’s ‘You’re The Best Around’)?
Of course that was Karate and this was Tae Kwon Do.
I dropped out shortly thereafter.
To this day, 21 years later, I have not touched an abacus.
However as a 29 year old who still has yet to hit his growth spurt there is rarely a week that passes that I don’t think some part of me might want to know how to defend himself.
Maybe I should start taking Krav Maga.
With its combination of threat neutralization and aggressive counter attacks it is made for the real world.
Though hopefully I won’t have to use it.


Just the message data: "{{ message }}"
Value computed within the tag: {{ message.split("").reverse().join("") }}
This is the computed property: {{ reversedMessage }}
All Tasks
Incomplete Tasks
{{ task.desc }}
Completed
Completed Tasks
{{ task.desc }}
Unfinished


On Job Provider, you network with people by adding them as "connections," similar to how you'd make a friend request on Facebook. You converse via private message (or available contact information) and you have all of your professional experience and achievements laid out in a neatly organized profile to show off to other users.
Job Provider is similar to Facebook in terms of its layout and broad feature offering. These features are more specialized because the y cater to professionals, but in general, if you know how to use Facebook or any other similar social network, Job Provider is somewhat comparable.


Omid started as a research project in 2011 at Yahoo Labs, with the aim of adding transactions to HBase. While Omid was designed with HBase in mind, we have been careful to not bind ourselves to a particular big datastore. As a consequence, Omid can be potentially adapted to be used with any other multiversioned key-value datastore with some additional extensions.
In the next sections, we introduce two basic concepts that have driven Omid’s design.
When solving the conflict detection problem in transactional systems, there are two main approaches that transaction managers may implement: locking and lock-free.
With a locking mechanism, the client managing the transaction attempts to acquire a lock on each cell in the writeset (the set of changes in data performed by the transaction) before committing. If it succeeds in acquiring the lock, and no other transaction has written to the cells since the start of the client’s transaction, it can commit, as it knows that no other transaction can write to the cell after the lock has been acquired. Once the commit has completed, the client can release the locks on the cells. If the client fails to acquire the lock on any cell or some other transaction has written to it since the start of the transaction, then the transaction is aborted.
For example, Google Percolator uses a locking mechanism in its transactional system, and so do other subsequent academic and open source transaction managers for NoSQL datastores.
Locking systems can be problematic in a distributed setting and in the presence of process failures. If a client fails while holding a lock another process must clean up the locks held by that client. However, it is impossible to detect reliably if a client has failed or is just being slow. Normally this is dealt with using timeouts, after which the client is invalidated and its locks released. However, the timeout must be high enough to ensure that valid clients are not invalidated.
In lock-based systems, it is also possible for two transactions to repeatedly conflict with each other over multiple retries as there is no defined order in which locks must be acquired.
In a lock-free implementation, this type of livelock is not possible. Transactions can always make progress.  To commit a transaction, each transaction writeset is sent to this mechanism to check for conflicts with the writesets of other concurrent transactions. If none of those transaction has written to any of the cells of the writeset since the start of the transaction, the transaction can commit. Otherwise the transaction is aborted. Omid uses a lock-free mechanism for conflict detection.
Isolation in ACID refers to the ability for multiple clients to act on a database without interfering with each other. There are various isolation levels, each making a different tradeoff between isolation and concurrent access to the database. Omid is only concerned with Snapshot Isolation.
Snapshot Isolation (SI) provides the users of a database with a consistent view of the database and the ability to detect write-write conficts between transactions. When a client starts a transaction, it is given a “snapshot view” of the database. A value read from a cell within this snapshot will always be the same, unless the transaction itself updates the cell.
To successfully commit a transaction within snapshot isolation, the system must ensure that no other transaction has written to any of the transaction’s written cells (that is, its writeset) since the start of the transaction.
That is, transactions with SI guarantees should read from their own data snapshot, being a data snapshot:
In Omid, transactions conflict iff:
The following figure describes SI with an example:
As depicted in the figure, transaction T2 overlaps in time with T1 and T3, but spatially:
So, transactions T1 and T2, despite overlaping in time, they do not overlap in the elements they modify, so they do not conflict. However, transactions T2 and T3 have a conflict because they overlap both in space (both modify R4) and time. Finally, Transaction T4 does not has conflicts with other transactions.
Compared to other isolation levels, SI offers good-enough consistency guarantees -although some anomalies may appear on data, e.g. write-skew- and performance, mainly due to the fact transactions are not aborted due to read-write conflicts. We took this into consideration and we decided to implement SI as the default isolation level for Omid.


| Trees | Indices | Toggle frames |
|---|
Operating-system-level functionality.
The platform instance can only be obtained with get_platform. Use the platform to obtain a Display instance.
| Display |
get_display(self,
name)
Get a display device by name.
|
| Display |
get_default_display(self)
Get the default display device.
|
Get a display device by name.
This is meaningful only under X11, where the name
is a
string including the host name and display number; for example
"localhost:1".
On platforms other than X11, name
is ignored and the default
display is returned. pyglet does not support multiple multiple
video devices on Windows or OS X. If more than one device is
attached, they will appear as a single virtual device comprising
all the attached screens.
| Trees | Indices | Toggle frames |
|---|
| Generated by Epydoc 3.0beta1 on Sun Mar 22 20:15:41 2009 | http://epydoc.sourceforge.net |


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
helper class building a sequence of overnight coupons More...
#include <ql/cashflows/subperiodcoupon.hpp>
Private Attributes | |
| Schedule | schedule_ |
| ext::shared_ptr< IborIndex > | index_ |
| std::vector< Real > | notionals_ |
| DayCounter | paymentDayCounter_ |
| Calendar | paymentCalendar_ |
| BusinessDayConvention | paymentAdjustment_ = Following |
| Natural | paymentLag_ = 0 |
| std::vector< Natural > | fixingDays_ |
| std::vector< Real > | gearings_ |
| std::vector< Spread > | couponSpreads_ |
| std::vector< Spread > | rateSpreads_ |
| RateAveraging::Type | averagingMethod_ = RateAveraging::Compound |
| Period | exCouponPeriod_ |
| Calendar | exCouponCalendar_ |
| BusinessDayConvention | exCouponAdjustment_ = Unadjusted |
| bool | exCouponEndOfMonth_ = false |
helper class building a sequence of overnight coupons
Definition at line 121 of file subperiodcoupon.hpp.
| SubPeriodsLeg | ( | const Schedule & | schedule, |
| ext::shared_ptr< IborIndex > | index | ||
| ) |
Definition at line 158 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withNotionals | ( | Real | notional | ) |
Definition at line 163 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withNotionals | ( | const std::vector< Real > & | notionals | ) |
Definition at line 168 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withPaymentDayCounter | ( | const DayCounter & | dc | ) |
Definition at line 173 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withPaymentAdjustment | ( | BusinessDayConvention | convention | ) |
Definition at line 178 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withPaymentCalendar | ( | const Calendar & | cal | ) |
Definition at line 183 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withPaymentLag | ( | Natural | lag | ) |
Definition at line 188 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withFixingDays | ( | Natural | fixingDays | ) |
Definition at line 193 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withFixingDays | ( | const std::vector< Natural > & | fixingDays | ) |
Definition at line 198 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withGearings | ( | Real | gearing | ) |
Definition at line 203 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withGearings | ( | const std::vector< Real > & | gearings | ) |
Definition at line 208 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withCouponSpreads | ( | Spread | spread | ) |
Definition at line 213 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withCouponSpreads | ( | const std::vector< Spread > & | spreads | ) |
Definition at line 218 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withRateSpreads | ( | Spread | spread | ) |
Definition at line 223 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withRateSpreads | ( | const std::vector< Spread > & | spreads | ) |
Definition at line 228 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withExCouponPeriod | ( | const Period & | period, |
| const Calendar & | cal, | ||
| BusinessDayConvention | convention, | ||
| bool | endOfMonth = false |
||
| ) |
Definition at line 238 of file subperiodcoupon.cpp.
| SubPeriodsLeg & withAveragingMethod | ( | RateAveraging::Type | averagingMethod | ) |
Definition at line 233 of file subperiodcoupon.cpp.
| operator Leg | ( | ) | const |
|
private |
Definition at line 146 of file subperiodcoupon.hpp.
|
private |
Definition at line 147 of file subperiodcoupon.hpp.
|
private |
Definition at line 148 of file subperiodcoupon.hpp.
|
private |
Definition at line 149 of file subperiodcoupon.hpp.
|
private |
Definition at line 150 of file subperiodcoupon.hpp.
|
private |
Definition at line 151 of file subperiodcoupon.hpp.
|
private |
Definition at line 152 of file subperiodcoupon.hpp.
|
private |
Definition at line 153 of file subperiodcoupon.hpp.
|
private |
Definition at line 154 of file subperiodcoupon.hpp.
|
private |
Definition at line 155 of file subperiodcoupon.hpp.
|
private |
Definition at line 156 of file subperiodcoupon.hpp.
|
private |
Definition at line 157 of file subperiodcoupon.hpp.
|
private |
Definition at line 158 of file subperiodcoupon.hpp.
|
private |
Definition at line 159 of file subperiodcoupon.hpp.
|
private |
Definition at line 160 of file subperiodcoupon.hpp.
|
private |
Definition at line 161 of file subperiodcoupon.hpp.


Preprocessing data¶
hep_ml.preprocessing contains useful operations with data. Algorithms implemented here follow sklearn conventions for transformers and inherited from BaseEstimator and TransformerMixin.
Minor difference compared to sklearn is that transformations preserve names of features in DataFrames (if it is possible).
See also: sklearn.preprocessing for other useful data transformations.
Examples¶
Transformers may be used as any other transformer, manually training and applying:
>>> from hep_ml.preprocessing import IronTransformer
>>> transformer = IronTransformer().fit(trainX)
>>> new_trainX = transformer.transform(trainX)
>>> new_testX = transformer.transform(testX)
Apart from this, transformers may be plugged as part of sklearn.Pipeline:
>>> from sklearn.pipeline import Pipeline
>>> from hep_ml.nnet import SimpleNeuralNetwork
>>> clf = Pipeline(['pre', IronTransformer(),
>>> 'nnet', SimpleNeuralNetwork()])
Also, neural networks support special argument ‘scaler’. You can pass any transformer there:
>>> clf = SimpleNeuralNetwork(layers=[10, 8], scaler=IronTransformer())
- class hep_ml.preprocessing.BinTransformer(max_bins=128)[source]¶
Bases:
sklearn.base.BaseEstimator
,sklearn.base.TransformerMixin
Bin transformer transforms all features (which are expected to be numerical) to small integers.
This simple transformation, while loosing part of information, can increase speed of some algorithms.
- Parameters
max_bins (int) – maximal number of bins along each axis.
- class hep_ml.preprocessing.IronTransformer(max_points=10000, symmetrize=False)[source]¶
Bases:
sklearn.base.BaseEstimator
,sklearn.base.TransformerMixin
IronTransformer fits one-dimensional transformation for each feature.
After applying this transformations distribution of each feature turns into uniform. This is very handy to work with features with different scale and complex distributions.
The name of transformer comes from https://en.wikipedia.org/wiki/Clothes_iron, which makes anything flat, being applied with enough pressure :)
Recommended to apply with neural networks and other algorithms sensitive to scale of features.
- Parameters
symmetrize – if True, resulting distribution is uniform in [-1, 1], otherwise in [0, 1]
max_points (int) – leave so many points in monotonic transformation.


To create a Scheduled Event, call the Schedule.On
method. The method expects a DateRules
object, a TimeRules
object, and a function to execute. The following examples demonstrate some common Scheduled Events.
You may want to train a model or fetch historical data before the market opens. The following example demonstrates how to set a Scheduled Event for 10 minutes before the market opens.
Schedule.On(DateRules.EveryDay("SPY"), TimeRules.AfterMarketOpen("SPY", -10), BeforeMarketOpen);
self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.AfterMarketOpen("SPY", -10), self.BeforeMarketOpen)
You may want to rebalance your portfolio on the last trading day of each week and factor in market holidays. The following example demonstrates how to set a Scheduled Event for the last trading day of each week 30 minutes before the market closes.
Schedule.On(DateRules.WeekEnd("SPY"), TimeRules.BeforeMarketClose("SPY", 30), Rebalance);
self.Schedule.On(self.DateRules.WeekEnd("SPY"), self.TimeRules.BeforeMarketClose("SPY", 30), self.Rebalance)
You may want to perform some action on a regular interval through each trading day. The following example demonstrates how to set a Scheduled Event for every 30 minutes through the trading day for SPY.
Schedule.On(DateRules.EveryDay("SPY"), TimeRules.Every(TimeSpan.FromMinutes(30)), SomeAction);
self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.Every(timedelta(minutes=30)), self.SomeAction)


Hi (name)!
Thank you for joining the Poten-Cee Gummies Fun Choice Awards!
You have successfully uploaded one (1) qualified entry. Please ask your family and friends to send some love to your video by liking and sharing your entry.
You may also send in as many entries as you want for more chances of winning!
Cheers, #PotenceeGummies Squad
|


{{item.title}}
{{ item.postDate | date:'yyyy-MM-dd HH:mm:ss'}}{{ item.seller.firstName || "Seller"}} says : Reply
Hi Expert, Can you exchange for me?
{{ item.postDate | date:'yyyy-MM-dd HH:mm:ss'}}JohnDoe says : Reply
Thank you for the feedback.
Hello.
Please, choosing location that you want exchange this product
{{ item.postDate | date:'yyyy-MM-dd HH:mm:ss'}}{{ item.seller.firstName || "Seller"}} says : Reply
Hi Expert, Can you exchange for me?


--- layout: jsdoc title: "Class: RequestWrapper" jsdocNav: - Modules: - workbox-background-sync - workbox-broadcast-cache-update - workbox-build - workbox-cache-expiration - workbox-cacheable-response - workbox-google-analytics - workbox-precaching - workbox-range-requests - workbox-routing - workbox-runtime-caching - workbox-sw - workbox-webpack-plugin ---
This class is used by the various subclasses of Handler to configure the cache name and any desired plugins, which is to say classes that implement request lifecycle callbacks.
It automatically triggers any registered callbacks at the appropriate time.
Constructor for RequestWrapper.
| Parameters |
|
|---|
Wraps fetch()
, calls all requestWillFetch
before making the network
request, and calls any fetchDidFail
callbacks from the
registered plugins if the request fails.
requestWrapper.fetch({
request: event.request
})
.then((response) => {
...
})
.catch((err) => {
...
});
| Parameters |
|
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Returns |
Promise.<Response>
The network response. |
Combines both fetching and caching using the previously configured options and calling the appropriate plugins.
By default, responses with a status of 2xx
will be considered valid and cacheable, but this could be overridden by
configuring one or more plugins that implement the cacheWillUpdate
lifecycle callback.
requestWrapper.fetchAndCache({
request: event.request
})
.then((response) => {
...
})
.catch((err) => {
...
});
| Parameters |
|
||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Returns |
Promise.<Response>
The network response. |
Opens a cache and maintains a reference to that cache for future use.
requestWrapper.getCache()
.then((openCache) => {
...
});
| Returns |
Promise.<Cache>
An open |
|---|
Wraps cache.match()
, using the previously configured cache name and match
options.
requestWrapper.match({event.request})
.then((response) => {
if (!response) {
// No response in cache.
return;
}
...
});
| Parameters |
|
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Returns |
Promise.<Response>
The cached response. |
Called after a response has been written to the cache.
async function cacheDidUpdate({cacheName, url}) {
console.log(`The entry for ${url} in cache ${cacheName} was updated.`);
}
| Parameters |
|
|---|
Called before a previously cached response that has been read from the cache
is used. This allows you to modify it or return null
if it's not valid.
async function cachedResponseWillBeUsed({cachedResponse}) {
if (cachedResponse) {
const dateHeader = cachedResponse.headers.get('date');
const date = new Date(dateHeader);
if (dateHeader && (Date.now() - date.getTime()) < 1000) {
return cachedResponse;
}
}
return null;
}
| Parameters |
|
||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Returns |
Promise.<(Response|null)>
The response to be used as the effective
cache match. This might be the same response as |
Called prior to a response being written to the cache. This allows you to prevent the cache from being updated if the response doesn't meet your custom criteria.
async function cacheWillUpdate({response}) {
return !response.headers.get('cache-control').includes('no-cache');
}
| Parameters |
|
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Returns |
Promise.<Boolean>
|
Called after a network request has failed. This allows you to report the failure, or save a copy of the failed request to be retried later.
async function fetchDidFail({request}) {
const body = await request.text();
console.log(`A request for ${request.url} with body ${body} failed.`);
}
| Parameters |
|
|---|
Called prior to a network request being made. This allows you to update the request's URL or headers as appropriate, or just return the original request if there are no modifications needed.
async function requestWillFetch({request}) {
const url = new URL(request.url);
url.searchParams.set('from-workbox', 'true');
return new Request(url.href, {headers: request.headers});
}
| Parameters |
|
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Returns |
Promise.<Request>
The request that will be used against the network instead. |


1-Wire API for .NET
Version 4.00
Main Page
Related Pages
Classes
Deprecated List
Member
MemoryBankAD.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Member
MemoryBankAppReg.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Member
MemoryBankAppReg.isPageRedirected
(int page)
As of 1-Wire API 0.01, replaced by
getRedirectedPage(int)
Member
MemoryBankEE.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Member
MemoryBankEEPROM.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Member
MemoryBankEEPROM.isPageRedirected
(int page)
As of 1-Wire API 0.01, replaced by
getRedirectedPage(int)
Member
MemoryBankEEPROMblock.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Member
MemoryBankEEPROMblock.isPageRedirected
(int page)
As of 1-Wire API 0.01, replaced by
getRedirectedPage(int)
Member
MemoryBankEPROM.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Member
MemoryBankEPROM.isPageRedirected
(int page)
As of 1-Wire API 0.01, replaced by
getRedirectedPage(int)
Member
MemoryBankNV.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Member
MemoryBankScratch.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Member
MemoryBankSHAEE.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Member
OneWireContainer10.convertToCelsius
(double fahrenheitTemperature)
Replace with call to
com.dalsemi.onewire.utils.Convert.toCelsius()
Member
OneWireContainer10.convertToFahrenheit
(double celsiusTemperature)
Replace with call to
com.dalsemi.onewire.utils.Convert.toFahrenheit()
Member
OneWireContainer28.convertToFahrenheit
(float celsiusTemperature)
Replace with call to
com.dalsemi.onewire.utils.Convert.toFahrenheit()
Member
OneWireContainer42.convertToFahrenheit
(float celsiusTemperature)
Replace with call to
com.dalsemi.onewire.utils.Convert.toFahrenheit()
Member
OTPMemoryBank.isPageRedirected
(int page)
As of 1-Wire API 0.01, replaced by
getRedirectedPage(int)
Member
PagedMemoryBank.haveExtraInfo
()
As of 1-Wire API 0.01, replaced by
hasExtraInfo()
Generated on Thu Dec 6 2012 09:24:50 for 1-Wire API for .NET by
1.7.3


Tic Tac Toe
Waiting for anathor player
Congratulations
you are won
Back to Home
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you are Lost
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nLIGHT (LASR) Investor Presentation - Slideshow
by SA Transcripts, https://seekingalpha.com/author/sa-transcriptsThe following slide deck was published by nLIGHT, Inc. in conjunction with this event.
The following slide deck was published by nLIGHT, Inc. in conjunction with this event.


Plain of Tears [aq34], plain, in Mandoria, peasants: 150
Last updated Turn #145
Plain of Tears [aq34], plain, in Mandoria, peasants: 150
------------------------------------------------------------------------
12: Pleasure Sloop [v5n], ship, 30 hulls, 1 rowing port, 90 sails, arrived
12: from Ocean [aq35], owner:
12: Dorothy [v1b], Pen, with one worker, 94 sailors
12: Apollo [b5e], Imperial Empire, with 11 workers, six sailors, 63 lt.
12: xbowmen, five warmounts, accompanied by:
12: Lutra [a4w], Imperial Empire, with 11 paladins, 21 pikemen
12: Lungor [y4r], Imperial Empire
12: Merbit [e2m], Imperial Empire
12: Pink Blazer [n8e], Imperial Empire
12: Hera [g3f], Imperial Empire, with three soldiers, 28 pikemen
12: Thor [r4g], Imperial Empire, with 32 pikemen
12: Eos [a2t], Imperial Empire, with ten workers, 48 lt. xbowmen
12: Khaki Blazer [w4j], Imperial Empire, with four soldiers,
12: four pikemen, 25 lt. foot
12: Banian [e7n], Imperial Empire, duke, the High Priest of the
12: Church of Eres [151], with one soldier, ten angels
12: Black Blazer [s8u], Mandor Confederacy, prisoner
12: Baltor [v5s], Mandor Confederacy, prisoner
12: Rafa El [i0p], Mandor Confederacy, prisoner
12: Andrea Sorvetao [f4f], Mandor Confederacy, prisoner
12: Kiki Ghelfond [p2w], Mandor Confederacy, prisoner
12: De Pif [p2n], Mandor Confederacy, prisoner
13: Pleasure Sloop [v5n], ship, 30 hulls, 1 rowing port, 90 sails,
13: departed for Ocean [ap34].
30: The population grows by one peasant.
Routes leaving Plain of Tears:
North, to Ocean [ap34], The Inner Sea, 2 days
East, to Ocean [aq35], The Inner Sea, 2 days
South, plain, to Plain of Tears [ar34], 7 days
West, plain, to Plain of Tears [aq33], 7 days
Garrison [cs5z], garrison, uncontrolled, with ten peasants
Inner locations:
Rocky hill [ad8u], rocky hill, 1 day
The province is blanketed in fog.
No one can be seen through the fog.


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Includes:
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- Fine cuisine, delivered daily
- Complementary tour
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Includes:
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- Wine tasting, vineyard access
- Complementary tour
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