All Classes and Interfaces
Class
Description
This java class is used to create and show a panel for description of the
tool.
This java class is used to represent an ant in optimal ant colony
optimization (Optimal ACO) method.
This java class is used to implement various utility methods for manipulating
arrays and matrices.
The abstract class contains the main methods and fields that are used in all
ACO-based feature selection methods.
This java class is used to create and show a panel for the parameter settings
of the basic ant colony optimization (BasicACO) method.
The abstract class contains the main methods and fields that are used in all
ACO-based feature selection methods.
The abstract class contains the main methods and fields that are used in all
ACO-based feature selection methods.
The abstract class contains the main methods and fields that are used in all
GA-based feature selection methods.
This java class is used to create and show a panel for the parameter settings
of the basic genetic algorithm (BasicGA) method.
The abstract class contains the main methods and fields that are used to
represent discrete search space as a graph in ACO algorithm.
The abstract class contains the main methods and fields that are used in all
GA-based feature selection methods.
The abstract class contains the main methods and fields that are used in all
PSO-based feature selection methods.
The abstract class contains the main methods and fields that are used in all
GA-based feature selection methods.
The abstract class contains the main methods and fields that are used in all
PSO-based feature selection methods.
This java class is used to create and show a panel for the parameter settings
of the basic particle swarm optimization (BasicPSO) method.
The abstract class contains the main methods and fields that are used in all
PSO-based feature selection methods.
This java class is used to implement feature selection method based on binary
particle swarm optimization (BPSO) in which the type of Swarm is extended
from Swarm class.
This java class is used to create and show a panel for the parameter settings
of the binary particle swarm optimization (BPSO) method.
This java class is used to define the names of classifiers.
This java class is used to implement a colony of ants in optimal ant colony
optimization (Optimal ACO) method in which the type of ant is extended from
Ant class.
This java class is used to implement feature selection method based on
continuous particle swarm optimization (CPSO) in which the type of Swarm is
extended from Swarm class.
This java class is used to create and show a panel for the parameter settings
of the continuous particle swarm optimization (CPSO) method.
This java class is used to set different criteria values used in the feature
selection area of research.
This java class is used to display various critical values of the table.
This java class is used to implement various crossover operators for
recombining the two parents to generate new offsprings
This java class is used to define the names of different implementation of
crossover.
This java class is used to apply the classifiers for computing the
performance of the feature selection methods.
This java class is used to keep the input data, split input data to
test/train sets and crate CSV file format.
This java class is used to implement the decision tree based methods.
This java class is used to create and show a panel for the parameter settings
of the decision tree based method.
This java class is used to create and show the 2-D diagrams of the input
values
This java class is used to create and show a panel for the parameter settings
of the decision tree classifier.
The abstract class contains the main methods and fields that are used in all
embedded-based feature selection methods.
This java class is used to define the names of embedded-based feature
selection methods.
The abstract class contains the main methods and fields that are used in all
enumerable types.
The abstract class contains the main methods and fields that are used in all
feature selection methods.
The abstract class contains the main methods and fields that are used in all
feature weighting methods.
This java class is used to implement various utility methods for manipulating
files and directories.
The abstract class contains the main methods and fields that are used in all
filter-based feature selection methods.
This java class is used to define the names of filter-based feature selection
methods.
This java class is used to implement the Fisher score method.
This java class is used to implement fitness evaluator of a solution in which
k-fold cross validation on training set is used for evaluating the
classification performance of a selected feature subset.
This java class is used to create and show a panel for analyzing the results
based on the Friedman test.
This java class is used to implement the gain ratio method.
This java class is used to implement the Gini index method.
This java class is used to represent a graph in optimal ant colony
optimization (optimal ACO) method.
This java class is used to implement feature selection method based on hybrid
genetic algorithm for feature selection using local search (HGAFS) in which
the type of Population is extended from Population class.
This java class is used to create and show a panel for the parameter settings
of the hybrid genetic algorithm using local search (HGAFS).
This java class is used to implement feature selection based on hybrid
particle swarm optimization method using local search (HPSO-LS) in which the
type of Swarm is extended from Swarm class.
This java class is used to create and show a panel for the parameter settings
of the hybrid particle swarm optimization method using local search
(HPSO-LS).
The abstract class contains the main methods and fields that are used in all
hybrid-based feature selection methods.
This java class is used to define the names of hybrid-based feature selection
methods.
This java class is used to represent an individual in simple genetic
algorithm (Simple GA) method in which the type of gene vector is boolean.
This java class is used to represent an individual in simple genetic
algorithm (Simple GA) method in which the type of gene vector is boolean.
This java class is used to implement the information gain method.
This java class is used to implement the incremental relevance-redundancy
feature selection based on ant colony optimization, version1 (IRRFSACO_1)
method.
This java class is used to create and show a panel for the parameter settings
of the incremental relevance-redundancy feature selection based on ant colony
optimization, version1 (IRRFSACO_1) method.
This java class is used to implement the incremental relevance–redundancy
feature selection based on ant colony optimization, version2 (IRRFSACO_2)
method.
This java class is used to create and show a panel for the parameter settings
of the incremental relevance–redundancy feature selection based on ant colony
optimization, version2 (IRRFSACO_2) method.
This java class is used to create and show a panel for the parameter settings
of the k-nearest neighbours classifier.
This java class is used to implement the Laplacian score method.
This java class is used to implement the Laplacian score method.
This java class is used to create and show a panel for the parameter settings
of the Laplacian score method.
This java class is used to create and show the main panel of the project.
This java class is used to implement various utility methods for performing
basic statistical operation such as the mean and variance.
This java class is used to implement the microarray gene selection based on
ant colony optimization (MGSACO) method.
This java class is used to create and show a panel for the parameter settings
of the microarray gene selection based on ant colony optimization (MGSACO)
method.
This java class is used to create and show a panel for the "more option"
button of the feature selection methods.
This java class is used to implement the minimal redundancy maximal
relevance (mRMR) method.
This java class is used to implement MSVM_RFE method for binary
classification based on SVM_RFE method (support vector machine method based
on recursive feature elimination) in which multiple linear SVMs trained on
subsamples of the original training data.
This java class is used to create and show a panel for the parameter settings
of the multiple support vector machine method based on recursive feature
elimination (MSVM_RFE).
This java class is used to define the names of multivariate method used in
RSM feature selection method.
This java class is used to implement various mutation operators for mutating
new offsprings by changing the value of some genes in them.
This java class is used to define the names of different implementation of
mutation.
This java class is used to implement the mutual correlation method.
This java class is used to define the names of non weighted filter-based
feature selection methods.
This java class is used to implement feature selection method based on
optimal ant colony optimization (Optimal ACO) in which the type of Colony is
extended from Colony class.
This java class is used to create and show a panel for the parameter settings
of the optimal ant colony optimization (OptimalACO) method.
This java class is used to implement OVA_SVM_RFE method for multiclass
classification based on SVM_RFE method (support vector machine method based
on recursive feature elimination) in which One-Versus-All (OVA) strategy is
applied to construct binary classifiers.
This java class is used to implement OVO_SVM_RFE method for multiclass
classification based on SVM_RFE method (support vector machine method based
on recursive feature elimination) in which One-Versus-One (OVO) strategy is
applied to construct binary classifiers.
The abstract class contains the main methods and fields that are used to
create and show a panel for the parameter settings.
This java class is used to represent a particle in binary particle swarm
optimization (BPSO) method in which the type of position vector is boolean
and the type of velocity vector is double.
This java class is used to represent a particle in continuous particle swarm
optimization (CPSO) method in which the type of position and velocity vectors
are double.
This java class is used to represent a particle in hybrid particle swarm
optimization method using local search (HPSO-LS) in which the type of
position vector is boolean and the type of velocity vector is double.
This java class is used to represent a particle in particle swarm
optimization version 4-2(PSO(4-2)) method in which the type of position and
velocity vectors are double.
This java class is used to save all performance measure values obtained from
different runs of given feature selection method.
This java class is used to implement a population of individuals in hybrid
genetic algorithm for feature selection using local search (HGAFS) in which
the type of individual is extended from Individual class.
This java class is used to implement a population of individuals in simple
genetic algorithm (Simple GA) method in which the type of individual is
extended from Individual class.
This java class is used to create and show a panel for preprocessing of the
datasets.
This java class is used to create and show a panel for the selecting path for
the project.
This java class is used to implement feature selection method based on
particle swarm optimization version 4-2(PSO(4-2)) with new initialization
strategy and updating rule in which the type of Swarm is extended from Swarm
class.
This java class is used to create and show a panel for the parameter settings
of the particle swarm optimization version 4-2 (PSO(4-2)) method.
This java class is used to implement the random forest based method for
feature selection.
This java class is used to define the names of different implementation of
generation replacement.
This java class is used to create and show a panel for showing the results.
This java class is used to implement various methods for showing the results
in the result panel.
This java class is used to define the types of result.
This java class is used to implement the relevance-redundancy feature
selection(RRFS) method.
This java class is used to implement the relevance-redundancy feature
selection(RRFS) method.
This java class is used to implement the relevance–redundancy feature
selection based on ant colony optimization, version1 (RRFSACO_1) method.
This java class is used to create and show a panel for the parameter settings
of the relevance–redundancy feature selection based on ant colony
optimization, version1 (RRFSACO_1) method.
This java class is used to implement the relevance–redundancy feature
selection based on ant colony optimization, version2 (RRFSACO_2) method.
This java class is used to create and show a panel for the parameter settings
of the relevance–redundancy feature selection based on ant colony
optimization, version2 (RRFSACO_2) method.
This java class is used to create and show a panel for the parameter settings
of the relevance-redundancy feature selection(RRFS) method.
This java class is used to implement the random subspace method(RSM) method.
This java class is used to create and show a panel for the parameter settings
of the random subspace method (RSM) method.
This java class is used to implement various selection operators for
selecting parents from the individuals of a population according to their
fitness that will recombine for next generation.
This java class is used to define the names of different implementation of
selection.
This java class is used to create and show a panel for the selecting mode of
showing the results.
This java class is used to define the names of select mode used in the result
This java class is used to implement feature selection method based on simple
genetic algorithm (Simple GA) in which the type of Population is extended
from Population class.
This java class is used to create and show a panel for the parameter settings
of the simple genetic algorithm (Simple GA).
This java class is used to define the names of supervised filter-based
feature selection methods.
This java class is used to implement support vector machine method based on
recursive feature elimination (SVM_RFE).
The abstract class contains the main methods and fields that are used in all
SVM-based feature selection methods.
This java class is used to create and show a panel for the parameter settings
of the support vector machine classifier.
This java class is used to define the names of kernel used in SVM.
This java class is used to implement a swarm of particles in binary particle
swarm optimization (BPSO) method in which the type of position vector is
boolean and the type of particle is extended from Particle class.
This java class is used to implement a swarm of particles in continuous
particle swarm optimization (CPSO) method in which the type of position
vector is double and the type of particle is extended from Particle class.
This java class is used to implement a swarm of particles in hybrid particle
swarm optimization method using local search (HPSO-LS) in which the type of
position vector is boolean and the type of particle is extended from Particle
class.
This java class is used to implement a swarm of particles in particle swarm
optimization version 4-2(PSO(4-2)) method in which the type of position
vector is double and the type of particle is extended from Particle class.
This java class is used to implement the symmetrical uncertainty method.
This java class is used to implement the term variance method.
This java class is used to apply the classifiers for computing the
performance of the feature selection methods.
The abstract class contains the main methods and fields that are used in all
Tree-based feature selection methods.
This java class is used to define the names of different implementation of
Tree.
This java class is used to implement the unsupervised feature selection based
on ant colony optimization (UFSACO) method.
This java class is used to create and show a panel for the parameter settings
of the unsupervised feature selection based on ant colony optimization
(UFSACO) method.
This java class is used to define the names of unsupervised filter-based
feature selection methods.
The abstract class contains the main methods and fields that are used in all
weighted filter feature selection methods.
This java class is used to define the names of weighted filter-based feature
selection methods.
This java class is used to convert SVM kernel implemented in unifeat tool to SVM
kernel implemented in weka software.
The abstract class contains the main methods and fields that are used in all
wrapper-based feature selection methods.
This java class is used to define the names of wrapper-based feature
selection methods.


Jamshedpur:-
Call governement ambulance service ~
108
Medilift Air Ambulance Service
Tata Medical Hospital


Yummy Corner
Food
Drink
Search
Food Searched
Ingredients
included
included
included
Step by Step Instructions
How to prepare food or Drink Selected


Donate
You can help empower K-8 students across the Berkeley and Oakland area today with a donation to BEAM. Your support of our work will have a profound impact on STEM education.
INSTRUCTIONS
Using the link below, please follow the instructions and enter “Engineers and Mentors of Berkeley” as the student organization name.


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👤 You Inventory You have nothing! 🍓Food 🌳Wood 🧱Stone 🔩Ore Food Wood Stone Ore Drop/Donate > Actions 🦷Eat 🍓Forage 🌾Farm 🌳Gather Wood 🌲Chop Wood ⚒Mine Stone ⛏Mine Ore 📿Meditate 🧠Experiment 🔨Build Skills Building Enlightenment Farming Lumbering Mining Science Survivalism Age Fullness Upgrades
🌄 Items CommunityPrivate 🍓Food 🌳Wood 🧱Stone 🔩Ore < Take Food Wood Stone Ore Buildings Used space Free space Community Private Owned Tents Huts Houses Farms Mines Temples Academies Population: / +/sec Hobos Foragers Farmers Miners Monks Academics


{% extends "base.html" %} {% block title %}The Blue Alliance - 2018 Avatars{% endblock %} {% block meta_description %}Team avatars for the 2018 season{% endblock %} {% block content %}
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Jeremiah 46:13
The word that the LORD spake to Jeremiah the prophet, how Nebuchadrezzar king of Babylon should come and smite the land of Egypt.


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This is a global constructor.
None.
string
Method description here.
This is a deprecated method.
A string.
Annotation is only detail on method.
This is a function defined inside the constructor.
This is function defined on the prototype.
description.
description only.
This is just an alias for an extern and should be documented as such.
A static function.
Return statement; no type.
A static property.


| Streets of Spain festival Refreshed and ammended the festival's site for 2015 including reworking CSS3 animations, recoding HTML templates and rewriting Laravel PHP code. |
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| Likuco App Development Built a series of apps for Android and iOS using Javascript and Lua. Blockodile (a children's puzzle game released Summer 2015), Make Me Famous (a celebrity drawing game), Same Days Off (a shift-management time planner) and Liku (a dating app). |
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| Adidas - brafinder product selector Led a team building this AngularJS-based cross-platform product selector site, using jQuery, HTML5, CSS3, SASS and REST data retrieval. |
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| WhatDiscountCode.co.uk Responsible for the complete build of this Kohana-based MVC voucher code site providing access to thousands of retailer discounts. The site includes modules to process XML feeds into content, register and manage users and user generated content, Facebook integration and an advanced product scraping module for purchase sharing. |
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| Quidco Worked with the UK's leading cashback site to help convert legacy XML modules into a modern MVC framework, as well as developing an OAuth integration payment module for a rewards scheme and working on general website maintenance. |
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| CompareTheBluRay.com This Kohana-based Blu-Ray price comparison and deals site incorporated bespoke screen scraping and XML feed processing as well as a CMS for user-generated reviews. |
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| Outside Line Work at Outside Line included maintenance work and new module development for Media Trust, a CodeIgniter based project as well as a viral Facebook campaign for Diesel. |
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|
Endemol While working at Endemol was responsible for the HTML and PHP builds of large media sites including Endemol.com, short film site Propeller4Film and the first global Big Brother site at BigBrother.com. These sites were developed using the Kohana PHP5 MVC framework. |
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| Sony-ATV Music Publishing Developed a writers roster site at Sony-ATV Writers providing Sony-ATV's site users with a searchable index of songwriters, each with their own detailed profile page. |
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| Shiny Shelf Shiny Shelf required writers from around the world to be able to upload articles for display on the site, along with a message board forum, voting facility, and a completely customisable interface. The site was built using PHP and MySQL and at its peak was one of the most prominent science fiction and pop culture sites in the UK. |
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| Lewis Bradley Fresh from reaching the final of the BBC's 'Any Dream Will Do', actor and singer Lewis Bradley required a website to provide a focal point for updates for fans during his period starring as Joseph at the London Palladium in Spring 2008. I built a site containing a forum, photographs and streaming video clips to provide an official communication channel to Lewis's rapidly growing fanbase. |
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| Kelkay Kelkay needed an easily updateable site to enable retailers to directly source garden rocks, pebbles and stones. The site used AJAX technology to dynamically change content without refreshing the users page, and mixed Flash animation with a MySQL database and content management system to create an exciting online catalogue. |
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| Eve magazine video bumpers The website for Eve Magazine required their Channel 5 sponsorship bumpers for 'Grey's Anatomy' to be converted into Flash video and placed on the site. I edited the videos together, compressed them to a size that would stream quickly and easily and embedded them into the site to make the content as seamless as possible. |
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| LEWIS Direct Global public relations firm LEWIS PR required an online E-commerce site to provide the first one-stop shop for PR services in the UK. The site was a full database-backed e-commerce site incorporating a calendar based booking system, embedded Flash videos and selectable photography image bank. |
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Thring Townsend Legal firm Thring Townsend required their existing Flash site to be recoded into W3C Standards compliant XHTML/CSS based ASP pages, optimised to be search engine friendly and compliant with the Disability Discrimination Act while maintaining the functionality of the Flash version without loss of speed or usability. Within a week of the site launching, it was the top Google search result for numerous related terms, indicating the success of the optimisation. |
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| PartyDating PartyDating was the UK's original social dating site, the perfect place for single people to meet and arrange nights out. I built the site using PHP in conjunction with a MySQL database, building in a Content Management System to make the site easily updateable. | ||
| TEENMUSIC.CO.UK TEENMUSIC.CO.UK was a pop music portal for teenagers and students that demanded a wide range of features including a simple interface, a voting system, a message board, and a facility for maintaining news and reviews. I built the site using Chilisoft ASP and CSS in conjunction with a MySQL database, including a bespoke Content Management System. |
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To change a class, first mark the button next to the class you want to remove:
Latin 305
Advanced Greek Grammar
Applied Linguistics
Virgil and the Iliad
Then, type the name of the new class:


Contact
by Steven Yan
Upload your JPEG to find out what the likelihood of melanoma:
(Note: Any diagnosis through this app is not meant to replace the official diagnosis by a certified physician. If you receive a positive ID here, you should probably get it checked out. The earlier the better the chance of removing the entire tumor.


Introduction¶
What is QuNetSim?¶
QuNetSim (Quantum Network Simulator) is a Python based simulation framework for quantum networks. The intended use is that one can develop and test applications and protocols designed for networks on the network and application layer that have the ability to transmit and store quantum information. QuNetSim offers a framework for developing such protocols over multi-hop quantum networks that require potentially complicated routes.
One of QuNetSim’s core features is that it comes with common networking tasks already developed. Some examples of such tasks are teleporting qubits, distributing entanglement, sending superdense coded messages, and generating secret keys with quantum key distribution. The full list of applications built into QuNetSim can be found in the [TODO: fill in] section. QuNetSim uses entanglement swapping to generate entanglement between distant (i.e. multi-step connections) hosts.
Another feature is that we allow for routing to be customized. QuNetSim uses graph objects, specifically the Python library networkx, to generate its network structures (i.e. one for classical and one for quantum).In QuNetSim, one can establish in a sense, two networks, one for classical connections and one for quantum connections. This allows the user to test their own routing algorithms with lots of flexibility, based on both the classical and quantum network state. We provide a simple example of routing based on the amount of entanglement already generated in the Examples section [TODO: fill in].
QuNetSim is not an event-driven simulation, meaning that events are happening asynchronously at arbitrary times, and it is sometimes up to the user to develop robust protocols to avoid out of order arrivals at the hosts. We provide some features to help with this, for example, packets come with a sequence number and also one can choose to block a thread until an acknowledgement is returned.
Who should use QuNetSim?¶
QuNetSim is still a work in progress and in its current state, it is more of a toy example to demonstrate and create quantum networking protocols at a high level that could potentially make their way into real applications for quantum networks. QuNetSim, presently, is not designed to accurately simulate quantum physics and therefore quantum memories and quantum states are generally not noisy. One has some flexibility in this regard, but it is, at the moment, very limited.
The intended user of QuNetSim is mainly those who want to learn more about quantum networks but are relatively new to it, and generally students and instructors could use it to demonstrate some quantum networking protocols. The goal of QuNetSim, as the name suggests, is to simulate a quantum-enabled network. To this end, we aim to allow for the writing and testing of robust protocols for multi-hop quantum information transmission with various network parameters, such as packet and qubit loss and random qubit errors. We allow a developer to develop protocols for network topologies where the types of connections between the nodes are classical, quantum, or both classically and quantumly and we provide built in quantum network protocols for commonly used tasks like teleportation and entanglement distribution.QuNetSim aims to contain most of the typical features one would assume of a quantum network such that those who are new to the field of quantum communication can more easily experiment with quantum protocols.


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To privde a wide array of bicycle products and bicycle-related services to our customers. We have a lot of great customers. The greatest. And regular ones too! They're our biggest asset


animation module¶
- platform
Unix, Windows
- synopsis
This module contains the endpoint plot code. This code was adapted in part from K. Mulier’s example on stackoverflow.
- moduleauthor
Michael Eller<EMAIL_ADDRESS>-
class
animation.
CustomFigCanvas
[source]¶ Bases:
matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg
,matplotlib.animation.TimedAnimation
CustomFigCanvas is a class designed to allow integration of a matplotlib animation into a Qt backend. The animation will display the recorded voltage from the ADC and its corresponding differential derivative. The user can edit the axes limits and change the window filtering dynamically from the main menu.
-
__init__
()[source]¶ Initializes the object and its parent objects. Creates the figure, axes, and artists to be displayed.
-
get_windowed_value
(window)[source]¶ Helper function that simply calculates the average of all the samples in the window.
- Parameters
window – the list containing the data to be averaged
- Returns
the average
-
addData
(value)[source]¶ This function is called by the signal-slot mechanism within the plotGUI Dialog. It adds a value to the plots received data buffer, addedData.
- Parameters
value – received value from the serial connection to the ADC
-
generate_xticklabels
()[source]¶ Since the animation progresses from right to left, the left-most point is actually in the past, i.e. negative time. The simples way to do this is to keep the axis limits from 0 to xlim and alter the labels.
-


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So is Urinozinc a good product? You can be the best judge of that. It is not an expensive product nor harmful. It won’t hurt to try it out as there are many strong testimonials in favor of it on even independent websites. If you decide on trying out Urinozinc, save money by using discount coupons from icouponblog.com.


JavaScript Garage Project
This task was to create a webpage simulated a garage checking in and out cars and and getting quotes for damage.
Garage
Possible Cars to Add
Licence Plate of Selected Car
Possible Cars to Remove
Licence Plate of Selected Car
Check In
Licence Plate
Check Out
Licence Plate
Output
Calculate Bill
Select car from checkout list.
Admin Interface
Valid Command Words
'check in', 'check out', 'output', 'create car'


A collection of utilities for some reliability models/probability distributions.
| Version: | 0.01 |
| Published: | 2011-01-03 |
| Author: | Vijay Kumar and Uwe Ligges |
| Maintainer: | Vijay Kumar <vkgkp at rediffmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | Distributions |
| CRAN checks: | reliaR results |
| Reference manual: | reliaR.pdf |
| Package source: | reliaR_0.01.tar.gz |
| Windows binaries: | r-devel: reliaR_0.01.zip, r-release: reliaR_0.01.zip, r-oldrel: reliaR_0.01.zip |
| OS X binaries: | r-release: reliaR_0.01.tgz, r-oldrel: reliaR_0.01.tgz |
| Reverse imports: | HYRISK, REBayes, scanstatistics |
| Reverse suggests: | fitteR |
Please use the canonical form https://CRAN.R-project.org/package=reliaR to link to this page.


Gatekeeper Spirit:
Are you sure you want withdraw from the ultimate test?
Do you wish to proceed?
Teleport


Days on Leave
<%= leaveDays ? leaveDays : 0 %>
LAST YEAR <%= lastLeave ? lastLeave : 0%>
<%=percentLeave%>
|
Working Days
<%= workingDays ? workingDays : 0%>
LAST YEAR <%= lastWorkingDays ? lastWorkingDays : 0%>
<%=percentWork%>
|
on Vacation
<%= vacation ? vacation : 0%>
LAST YEAR <%= lastVacation ? lastVacation : 0%>
<%=percentVacation%>
|
on Personal
<%= personal ? personal : 0%>
LAST YEAR <%= lastPersonal ? lastPersonal : 0%>
<%=percentPersonal%>
|
on Sick
<%= sick ? sick : 0 %>
LAST YEAR <%= lastSick ? lastSick : 0%>
<%=percentSick%>
|
on Education
<%= education ? education : 0%>
LAST YEAR <%= lastEducation ? lastEducation : 0 %>
<%=percentEducation%>
|


rsync.net offers cloud backups with ZFS snapshots. It has very special pricing for borg accounts, as borg takes care of versioning automatically.
Special prices start at 18 dollars per year for 100 GB.
Initialize borg repo
Once you sign up, set up the key:
rsync -av ~/.ssh/id_rsa.pub account-name@sub.rsync.net:.ssh/authorized_keys
Initialize the repo:
borg init --remote-path=borg1 --encryption=keyfile<EMAIL_ADDRESS>Option --encryption=keyfile
will create a private key on the host machine. Borg will be using this key for symmetric encryption.
Don’t forget to backup this key to somewhere else, otherwise you won’t be able to extract your backups.
Schedule backup jobs
Once the repo is ready, you can use the following script to start backups:
#!/bin/bash -ue
info() { printf "\n%s %s\n\n" "$( date )" "$*" >&1; }
backup() {
: ${BORG:=borg}
: ${PASS:=}
local uri="$1"
if [ -n "$PASS" ]; then
export BORG_PASSPHRASE="$PASS"
else
unset BORG_PASSPHRASE
fi
local prunning="--keep-within 2d --keep-daily 7 --keep-weekly 4 --keep-monthly 3"
local name=myserver
local date=`date "+%F-%T"`
info "Starting backup with $BORG to $uri"
$BORG create \
--verbose \
--filter AME \
--list \
--stats \
--show-rc \
--compression lz4 \
--exclude-caches \
--exclude '/dev/*' \
--exclude '/home/*/.cache' \
--exclude '/lost+found/*' \
--exclude '/mnt/*' \
--exclude '/media/*' \
--exclude '/proc/*' \
--exclude '/root/.cache' \
--exclude '/run/*' \
--exclude '/sys/*' \
--exclude '/tmp/*' \
--exclude '/var/cache' \
--exclude '/var/lib/docker/devicemapper' \
--exclude '/var/lock/*' \
--exclude '/var/log/*' \
--exclude '/var/run/*' \
--exclude '/var/tmp/*' \
--exclude '/var/backups/*' \
--exclude '/var/spool/*' \
"$uri"::"$name-$date" \
/
info "Pruning repository"
$BORG prune \
--list \
--prefix "$name-" \
--show-rc \
$prunning \
"$uri"
}
# backup to rsync.net
BORG="borg --remote-path=borg1" \
backup<EMAIL_ADDRESS># backup to another server
# on this server passphrase is used instead of private key
PASS='example-passphrase' \
backup<EMAIL_ADDRESS>Add to crontab to run it every 3 hours:
0 */3 * * * cronic flock -n /run/lock/backup.lock /path/to/backup-script.sh
Adding mysql databases to backup
To dump mysql databases you can add the following addition to the script:
BACKUP_DIR=/path/to/mysql/backups
export MYSQL_PWD="backup-user-password"
mysqldump --all-databases --single-transaction --quick --lock-tables=false -u backup_user > "$BACKUP_DIR"/$(date +%F-%T).bak
# Keep only 5 of latest dumps:
ls -t "$BACKUP_DIR"/*.bak | awk 'NR>5' | xargs rm -f
Don’t forget to add backup_user
and grant permissions to it:
GRANT LOCK TABLES, SELECT ON *.* TO 'backup_user'@'localhost IDENTIFIED BY 'backup-user-password';
flush privileges;


Delhi air pollution: Air quality remains 'very poor', Noida in 'severe' category
by BusinessToday.InDelhi air pollution: The overall AQI in Delhi was recorded at 355 on Friday morning, which is a further dip from Thursday's 340
Air pollution in Delhi remained in the 'very poor' category on Friday morning. The AQI is likely to improve in the next 48 hours. Apart from Delhi, Noida has slipped into the 'severe' category, while Gurugram remained in the 'very poor' category.
The overall AQI in Delhi was recorded at 355 on Friday morning, which is a further dip from Thursday's 340. The air quality in Pusa Road was marked at 334, Lodhi Road at 328, Delhi University North Campus to 378, Mathura Road 389, Ayanagar at 346, IIT Delhi at 363, Chandni Chowk at 375 - all in the 'very poor' category.
In Noida, the air quality index was 414 which is in the severe category and Gurugram was at 327 which is in the 'very poor' category.
According to the Met department, the city will witness light fog throughout the day. Strong surface winds from tomorrow is likely to dissipate the particulate matter and improve the air quality level.
The Supreme Court had earlier pulled up the Delhi government over its measures to tackle air pollution in Delhi. The court stated that odd-even scheme is not a solution and called it a "half-baked" rule.
The apex court asked the Delhi Pollution Control Committee (DPCC) to check three-wheelers running on polluting fuels and to file a report. The Supreme Court also ordered PWD and DDA to ensure that the order of the court is implemented.
Also read: Delhi air pollution: AQI worsens to 'very poor' again; Chandni Chowk, Noida in 'severe' category
Also read: Delhi air pollution: AQI worsens on Wednesday; DU North Campus, Noida in 'very poor' category


$_isDotted
$_isDotted : boolean
Stores the use of dots in fields names when selecting
Extends the core Query class to provide support for parsing valid queries containing JSON fields properties.
jsonFieldsNameinString(string $expression) : string
Apply jsonFieldName to every property name detected in a string, mainly used to parse SQL fragments
The regexp is a bit tricky to avoid collision with mail parameter value that will be enclosed by quotes
| string | $expression | SQL fragment to be reworked |
Parsed string that contains modified SQL fragment
rawSqlConverter(string $expression) : \Cake\Database\Expression\QueryExpression
Returns a new QueryExpression built upon the parsing of the expression to update datfield names
| string | $expression | Raw expression to transform |
QueryExpression
comparisonConverter(\Cake\Database\Expression\Comparison $expression) : \Cake\Database\Expression\Comparison|\Cake\Database\Expression\QueryExpression
Update or replace the Comparison expression to perform comparisons on datFields. In some cases, PDO limitations implies to replace the expression with a raw SQL fragment. It can be a bit dangerous when using raw user input to perform global matching in `array` mode.
Regular fields expressions are left as is.
| \Cake\Database\Expression\Comparison | $expression | Comparison expression |
Updated expression
unaryExpressionConverter(\Cake\Database\Expression\UnaryExpression $expression) : \Cake\Database\Expression\UnaryExpression
Parses the unary expression to apply conversions on childrens and returns an updated UnaryExpression
Note : This a VERY hacky way because the UnaryExpression class doesn't expose
getter/setter for protected _value
property.
In this implementation, it causes an infinite loop when used directly with a SQL fragment :
['NOT' => 'sub.prop@datfield like "%buggy%"]
That's why, an exception is thrown as soon as $value is extracted
| \Cake\Database\Expression\UnaryExpression | $expression | Expression |
New expression
queryExpressionConverter(\Cake\Database\Expression\QueryExpression $expression) : \Cake\Database\Expression\QueryExpression
Iterates over a QueryExpression and replace Comparison expressions to handle JSON comparison in datfields.
| \Cake\Database\Expression\QueryExpression | $expression | QueryExpression |
Updated QueryExpression
expressionConverter(string|\Cake\Database\ExpressionInterface $expression) : \Cake\Database\ExpressionInterface
Returns the appropriate ExpressionInterface regarding the incoming one
| string|\Cake\Database\ExpressionInterface | $expression | Incoming expression |
Updated expression
jsonWhere(string|array|callable $conditions) : \Lqdt\OrmJson\ORM\JsonQuery
Add conditions to the query that can be matched against datfield value
jsonWhere accepts exactly the same parameters than the regular Query::where method
The conditions are first parsed in a regular QueryExpression. The result is then converted to replace Comparison expressions in a suitable way to query JSON fields in database.
The conditions that are matching regular fields are kept intact, thus allowing to mix regular/datfields comparisons in a single call to jsonWhere.
| string|array|callable | $conditions | Conditions for WHERE clause |
Self for chaining
jsonSelect(string|array $fields, string|boolean $separator = '_', boolean $lowercasedKey = false) : \Lqdt\OrmJson\ORM\JsonQuery
Adds support to fetch selected properties within a JSON field
Aliases fields are now supported as well as the use of a dot as separator or in alias for the resulting field name
| string|array | $fields | Field name in datfield notation |
| string|boolean | $separator | Separator string for field aliases name (dot is not allowed). Set it to false to return Resultset as associative array |
| boolean | $lowercasedKey | Force key alias to be lowercased (useful when using models name in datfield that must be capitalized) |
Self for chaining
clause(string $name) : array
Intercepts calls to clause('select') to enable or disable autofields
When sorting, we must select custom fields to sort and thus disable autofields even if no selection have been made. This wrapper prevents this behavior
| string | $name | Clause name |
Array of clause
jsonOrder(string|array $conditions) : \Lqdt\OrmJson\ORM\JsonQuery
Sets up the sorting based on JSON fields value
| string|array | $conditions | Sorting conditions |
self for chaining
all() : \Cake\Datasource\ResultSetInterface
Wrapper for the genuine `\Cake\ORM\Query::all` method to allow dot in field names and sorting
When extracting data, it unescapes dotted field names and clean json fields used for sorting and not requested
Result set to iterate on


Presentations for SOTM Milano 2018
Conference – July 28-30 2018 Politecnico di Milano ‐ Piazza Leonardo da Vinci, Milan, Lombardy, Italy -
State of The Map Milano 2018
Presentation: Using OpenStreetMap for the protection of landscape pdf
Presentation: Example of citizen activist use of OpenData against a project of french government decree on advertising regulations (in 2016) : true, and well ending story ! pdf, odp


public static final class Protos.ResourceUsage.Builder extendsimplements Protos.ResourceUsageOrBuilder
mesos.ResourceUsage
Describes a snapshot of the resource usage for executors.
| Modifier and Type | Method and Description |
|---|---|
Protos.ResourceUsage.Builder |
addAllExecutors(java.lang.Iterable<? extends Protos.ResourceUsage.Executor> values)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Builder |
addAllTotal(java.lang.Iterable<? extends Protos.Resource> values)
repeated .mesos.Resource total = 2; |
Protos.ResourceUsage.Builder |
addExecutors(int index,
Protos.ResourceUsage.Executor.Builder builderForValue)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Builder |
addExecutors(int index,
Protos.ResourceUsage.Executor value)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Builder |
addExecutors(Protos.ResourceUsage.Executor.Builder builderForValue)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Builder |
addExecutors(Protos.ResourceUsage.Executor value)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Executor.Builder |
addExecutorsBuilder()
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Executor.Builder |
addExecutorsBuilder(int index)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Builder |
addTotal(int index,
Protos.Resource.Builder builderForValue)
repeated .mesos.Resource total = 2; |
Protos.ResourceUsage.Builder |
addTotal(int index,
Protos.Resource value)
repeated .mesos.Resource total = 2; |
Protos.ResourceUsage.Builder |
addTotal(Protos.Resource.Builder builderForValue)
repeated .mesos.Resource total = 2; |
Protos.ResourceUsage.Builder |
addTotal(Protos.Resource value)
repeated .mesos.Resource total = 2; |
Protos.Resource.Builder |
addTotalBuilder()
repeated .mesos.Resource total = 2; |
Protos.Resource.Builder |
addTotalBuilder(int index)
repeated .mesos.Resource total = 2; |
Protos.ResourceUsage |
build() |
Protos.ResourceUsage |
buildPartial() |
Protos.ResourceUsage.Builder |
clear() |
Protos.ResourceUsage.Builder |
clearExecutors()
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Builder |
clearTotal()
repeated .mesos.Resource total = 2; |
Protos.ResourceUsage.Builder |
clone() |
Protos.ResourceUsage |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
Protos.ResourceUsage.Executor |
getExecutors(int index)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Executor.Builder |
getExecutorsBuilder(int index)
repeated .mesos.ResourceUsage.Executor executors = 1; |
java.util.List<Protos.ResourceUsage.Executor.Builder> |
getExecutorsBuilderList()
repeated .mesos.ResourceUsage.Executor executors = 1; |
int |
getExecutorsCount()
repeated .mesos.ResourceUsage.Executor executors = 1; |
java.util.List<Protos.ResourceUsage.Executor> |
getExecutorsList()
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.ExecutorOrBuilder |
getExecutorsOrBuilder(int index)
repeated .mesos.ResourceUsage.Executor executors = 1; |
java.util.List<? extends Protos.ResourceUsage.ExecutorOrBuilder> |
getExecutorsOrBuilderList()
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.Resource |
getTotal(int index)
repeated .mesos.Resource total = 2; |
Protos.Resource.Builder |
getTotalBuilder(int index)
repeated .mesos.Resource total = 2; |
java.util.List<Protos.Resource.Builder> |
getTotalBuilderList()
repeated .mesos.Resource total = 2; |
int |
getTotalCount()
repeated .mesos.Resource total = 2; |
java.util.List<Protos.Resource> |
getTotalList()
repeated .mesos.Resource total = 2; |
Protos.ResourceOrBuilder |
getTotalOrBuilder(int index)
repeated .mesos.Resource total = 2; |
java.util.List<? extends Protos.ResourceOrBuilder> |
getTotalOrBuilderList()
repeated .mesos.Resource total = 2; |
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
Protos.ResourceUsage.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
Protos.ResourceUsage.Builder |
mergeFrom(com.google.protobuf.Message other) |
Protos.ResourceUsage.Builder |
removeExecutors(int index)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Builder |
removeTotal(int index)
repeated .mesos.Resource total = 2; |
Protos.ResourceUsage.Builder |
setExecutors(int index,
Protos.ResourceUsage.Executor.Builder builderForValue)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Builder |
setExecutors(int index,
Protos.ResourceUsage.Executor value)
repeated .mesos.ResourceUsage.Executor executors = 1; |
Protos.ResourceUsage.Builder |
setTotal(int index,
Protos.Resource.Builder builderForValue)
repeated .mesos.Resource total = 2; |
Protos.ResourceUsage.Builder |
setTotal(int index,
Protos.Resource value)
repeated .mesos.Resource total = 2; |
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
public Protos.ResourceUsage.Builder clear()
public Protos.ResourceUsage.Builder clone()
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
public Protos.ResourceUsage getDefaultInstanceForType()
public Protos.ResourceUsage build()
public Protos.ResourceUsage buildPartial()
public Protos.ResourceUsage.Builder mergeFrom(com.google.protobuf.Message other)
public final boolean isInitialized()
public Protos.ResourceUsage.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
java.io.IOException
public java.util.List<Protos.ResourceUsage.Executor> getExecutorsList()
repeated .mesos.ResourceUsage.Executor executors = 1;
getExecutorsList
in interface Protos.ResourceUsageOrBuilder
public int getExecutorsCount()
repeated .mesos.ResourceUsage.Executor executors = 1;
getExecutorsCount
in interface Protos.ResourceUsageOrBuilder
public Protos.ResourceUsage.Executor getExecutors(int index)
repeated .mesos.ResourceUsage.Executor executors = 1;
getExecutors
in interface Protos.ResourceUsageOrBuilder
public Protos.ResourceUsage.Builder setExecutors(int index, Protos.ResourceUsage.Executor value)
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Builder setExecutors(int index, Protos.ResourceUsage.Executor.Builder builderForValue)
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Builder addExecutors(Protos.ResourceUsage.Executor value)
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Builder addExecutors(int index, Protos.ResourceUsage.Executor value)
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Builder addExecutors(Protos.ResourceUsage.Executor.Builder builderForValue)
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Builder addExecutors(int index, Protos.ResourceUsage.Executor.Builder builderForValue)
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Builder addAllExecutors(java.lang.Iterable<? extends Protos.ResourceUsage.Executor> values)
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Builder clearExecutors()
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Builder removeExecutors(int index)
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Executor.Builder getExecutorsBuilder(int index)
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.ExecutorOrBuilder getExecutorsOrBuilder(int index)
repeated .mesos.ResourceUsage.Executor executors = 1;
getExecutorsOrBuilder
in interface Protos.ResourceUsageOrBuilder
public java.util.List<? extends Protos.ResourceUsage.ExecutorOrBuilder> getExecutorsOrBuilderList()
repeated .mesos.ResourceUsage.Executor executors = 1;
getExecutorsOrBuilderList
in interface Protos.ResourceUsageOrBuilder
public Protos.ResourceUsage.Executor.Builder addExecutorsBuilder()
repeated .mesos.ResourceUsage.Executor executors = 1;
public Protos.ResourceUsage.Executor.Builder addExecutorsBuilder(int index)
repeated .mesos.ResourceUsage.Executor executors = 1;
public java.util.List<Protos.ResourceUsage.Executor.Builder> getExecutorsBuilderList()
repeated .mesos.ResourceUsage.Executor executors = 1;
public java.util.List<Protos.Resource> getTotalList()
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
getTotalList
in interface Protos.ResourceUsageOrBuilder
public int getTotalCount()
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
getTotalCount
in interface Protos.ResourceUsageOrBuilder
public Protos.Resource getTotal(int index)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
getTotal
in interface Protos.ResourceUsageOrBuilder
public Protos.ResourceUsage.Builder setTotal(int index, Protos.Resource value)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.ResourceUsage.Builder setTotal(int index, Protos.Resource.Builder builderForValue)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.ResourceUsage.Builder addTotal(Protos.Resource value)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.ResourceUsage.Builder addTotal(int index, Protos.Resource value)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.ResourceUsage.Builder addTotal(Protos.Resource.Builder builderForValue)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.ResourceUsage.Builder addTotal(int index, Protos.Resource.Builder builderForValue)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.ResourceUsage.Builder addAllTotal(java.lang.Iterable<? extends Protos.Resource> values)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.ResourceUsage.Builder clearTotal()
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.ResourceUsage.Builder removeTotal(int index)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.Resource.Builder getTotalBuilder(int index)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.ResourceOrBuilder getTotalOrBuilder(int index)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
getTotalOrBuilder
in interface Protos.ResourceUsageOrBuilder
public java.util.List<? extends Protos.ResourceOrBuilder> getTotalOrBuilderList()
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
getTotalOrBuilderList
in interface Protos.ResourceUsageOrBuilder
public Protos.Resource.Builder addTotalBuilder()
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public Protos.Resource.Builder addTotalBuilder(int index)
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.
public java.util.List<Protos.Resource.Builder> getTotalBuilderList()
repeated .mesos.Resource total = 2;
Slave's total resources including checkpointed dynamic reservations and persistent volumes.


At Pizzwa Inn your satisfaction is our first priority. We believe that customers are our emlpoyers and that we should make sure they are well satisfied with our products.
The home made pizza dough is produced in-house daily and is another reason why the pizza at Pizzwwa Inn always tastes better. The Twisty Bread, the signature Wingz and the delicious Double Meal are additional value-for-money options that keep our satis?ed customers coming back time after time.
These are the meals that have made our Terri?c Tuesday everyone’s favourite day of the week. When entertaining, a Hawaiian, a Regina, or a Peri Peri Chicken pizza from Pizza Inn is the obvious and perfect option to please crowds of all ages.


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Kiwa donated their time & effort to make us this amazing website. They have donated the website hosting too!
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For quality panel beating services in South Taranaki, contact Andrew Purser Panelbeaters Ltd on 06 278 8233.
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At Ballance you will find real people making a real difference to NZ farmers and our country’s role in sustainable food production.
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Farmlands is New Zealand's largest farmer owned rural supplies co-operative. We exist for one simple reason - to use the...
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Your Local Bike Shop. The team at Action Moto are proud to be local, being born and raised in Hawera.
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All food grown for humans and animals comes from our soils. There is a fair amount of nutrients to put back into the ground. This is where Ravensdown comes in.
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public class IblAdapterFactory
extends org.eclipse.emf.common.notify.impl.AdapterFactoryImpl
createXXX
method for each class of the model.
IblPackage
| Constructor and Description |
|---|
IblAdapterFactory()
Creates an instance of the adapter factory.
|
| Modifier and Type | Method and Description |
|---|---|
org.eclipse.emf.common.notify.Adapter |
createAdapter(org.eclipse.emf.common.notify.Notifier target)
Creates an adapter for the
target . |
org.eclipse.emf.common.notify.Adapter |
createCellAdapter()
Creates a new adapter for an object of class '
Cell '. |
org.eclipse.emf.common.notify.Adapter |
createDeviceAdapter()
Creates a new adapter for an object of class '
Device '. |
org.eclipse.emf.common.notify.Adapter |
createEObjectAdapter()
Creates a new adapter for the default case.
|
org.eclipse.emf.common.notify.Adapter |
createModelAdapter()
Creates a new adapter for an object of class '
Model '. |
org.eclipse.emf.common.notify.Adapter |
createMoleculeAdapter()
Creates a new adapter for an object of class '
Molecule '. |
org.eclipse.emf.common.notify.Adapter |
createProcessAdapter()
Creates a new adapter for an object of class '
Process '. |
org.eclipse.emf.common.notify.Adapter |
createRuleAdapter()
Creates a new adapter for an object of class '
Rule '. |
boolean |
isFactoryForType(java.lang.Object object)
Returns whether this factory is applicable for the type of the object.
|
public IblAdapterFactory()
public boolean isFactoryForType(java.lang.Object object)
true
if the object is either the model's package or is an instance object of the model.
isFactoryForType
in interface org.eclipse.emf.common.notify.AdapterFactory
isFactoryForType
in class org.eclipse.emf.common.notify.impl.AdapterFactoryImpl
public org.eclipse.emf.common.notify.Adapter createAdapter(org.eclipse.emf.common.notify.Notifier target)
target
.
createAdapter
in class org.eclipse.emf.common.notify.impl.AdapterFactoryImpl
target
- the object to adapt.target
.public org.eclipse.emf.common.notify.Adapter createModelAdapter()
Model
'.
This default implementation returns null so that we can easily ignore cases;
it's useful to ignore a case when inheritance will catch all the cases anyway.
Model
public org.eclipse.emf.common.notify.Adapter createProcessAdapter()
Process
'.
This default implementation returns null so that we can easily ignore cases;
it's useful to ignore a case when inheritance will catch all the cases anyway.
Process
public org.eclipse.emf.common.notify.Adapter createRuleAdapter()
Rule
'.
This default implementation returns null so that we can easily ignore cases;
it's useful to ignore a case when inheritance will catch all the cases anyway.
Rule
public org.eclipse.emf.common.notify.Adapter createMoleculeAdapter()
Molecule
'.
This default implementation returns null so that we can easily ignore cases;
it's useful to ignore a case when inheritance will catch all the cases anyway.
Molecule
public org.eclipse.emf.common.notify.Adapter createDeviceAdapter()
Device
'.
This default implementation returns null so that we can easily ignore cases;
it's useful to ignore a case when inheritance will catch all the cases anyway.
Device
public org.eclipse.emf.common.notify.Adapter createCellAdapter()
Cell
'.
This default implementation returns null so that we can easily ignore cases;
it's useful to ignore a case when inheritance will catch all the cases anyway.
Cell
public org.eclipse.emf.common.notify.Adapter createEObjectAdapter()


Our Mates
Why drink mate?
Feel good
The effect of mate (MAH-tay) is at once envigorating and calming. Imagine the energy of coffee, the relaxation of tea, and the euphoria of chocolate all in one. It's easy on the stomach and curbs hunger while increasing mental clarity. Best yet, there's no crash and caffeine-sensitive people experience less negative side effects than with other sources of caffeine. You really have to try it to believe it.
Be healthy
With more than 27 vitamins and minerals, 13 amino acids, and more antioxidants than even green tea, yerba mate is among the most nutrient-rich plants on the planet. It is metabolism-boosting, anti-inflammatory and immuno-therapeutic. The Guarani people of Paraguay, who first used yerba mate thousands of years ago, called it the Drink of the Gods and used it as the basis of their medicine.
Live sustainably
Our organic yerba mate is all shade-grown. Not only is shade-grown mate the most flavorful and nutrient-dense, but its agriculture helps redevelop deforested areas. We source from Fair Trade farmers in Brazil and Paraguay. These farms double as nurseries for native hardwood rainforest trees while providing a stable income and healthy working conditions. Our packaging is post-consumer and biodegradable.


We deliver fresh Kim Chi. We are a food catering and delivery service located in Ho Chi Minh City, Vietnam. Kimchi Catering was founded in 2017 by Miss Tuyet in in the city of Saigon. We only use the very best seasonal ingredients. Contact us for more information.
We offer full-service catering for any event, large or small. We understand your needs and we will cater your food to satisfy your greatest criteria, both look and taste. Do not hesitate to contact us.


FDA Warns Dollar Store About Tainted OTC Drugs
Nov. 15, 2019 -- Dollar Tree has been sent a warning letter for selling over-the-counter (OTC) drugs made by foreign companies with serious, multiple violations of federal manufacturing laws, the U.S. Food and Drug Administration says.
The drugs include Dollar Tree's Assured Brand OTC drugs and other drug products sold by Dollar Tree Co., which operates stores under the Dollar Tree and Family Dollar names.
The contract manufacturers used by Dollar Tree to make the OTC drugs have received warning letters from the FDA for violations such as not testing raw materials or finished drugs for pathogens and quality.
In its warning letter to Dollar Tree, the FDA outlines a number of corrective actions the company needs to take, including a system to ensure that they do not import impure drugs.
Dollar Tree said that it is cooperating with the FDA and plans to meet with the agency, CNN reported.
"We are committed to our customers' safety and have very robust and rigorous testing programs in place to ensure our third-party manufacturers' products are safe," Randy Guiler, vice president of investor relations at Dollar Tree, said in a company statement.
"Each of the items referenced in the report are topical, and not ingestible, products. As always, we are cooperating with the U.S. Food and Drug Administration [FDA]. We plan to meet with the FDA in the near future and expect that our plans will satisfy their requirements in all regards," the statement said, CNN reported.


Our Service Architecture
Workshops & Seminars on topical business issues crafted through research on training needs & contextual setups. Training delivery is handled by highly qualified & competent renowned facilitators, answering to the need to build capacities for businesses, institutions & non-governmental organisations.
Mentorship, business development & entrepreneurship driven for the purpose of promoting individual, group & organisational success that creates employment, sustainable revenue streams & produces economic empowerment for stakeholders & shareholders.
Leadership training, strategic planning, transformation initiatives, continuous improvement including project management, governance & other executive disciplines. Engaging in creative research through careful inspection, investigation, data & opinion collection.
Matching best fitting candidates to best fitting employers by tracking organisational staffing needs. Discretion & confidentiality will be maintained & professional candidate assessment tools will be applied.
Offering unique, humane, dignified & personalized funeral services, through highly intergrated & focused funeral management services to deliver quality goods & services to the satisfaction of all our grieving clients.


Name: Training
Status: Obsolete
General: After analysing the parameters, the system switches to read test input and expects the test arguments one per line until encountering a line starting with an asterisk.


gigGITy
This week we moved from Ruby into a Git and HTML/CSS. Git is a simple concept but less easy to use....
This week we moved from Ruby into a Git and HTML/CSS. Git is a simple concept but less easy to use....
This weekend we are tasked with a few projects. One of which was to create a simple ping-pong scoring app using TDD. It’s very much like our bowling score game created using TDD. I was early on committed to using an array despite knowing I need to adhere to TDD and not my “design.”...
My big AHA so far this week is TDD. My design with the blackjack game was make lots of objects, methods/classes, and make them all fit. I know blackjack and have a bit of a mental flowchart of what the game should look like, what could go wrong?...
My first blog post ever! My name is Sean and today is the day I start blogging my journey through The Iron Yard Academy. I am hoping that this will serve as a journal of my weekly thoughts, challenges, victories and progress. I hope this also is inspiring others to take action on their dreams...


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Speech
The Secretary of State for Education on her new literacy campaign aiming to make children in England the best in Europe at reading.
Thank you very much for that kind introduction. It’s brilliant to be here today.
And it’s a huge pleasure to be working with David [Walliams].
When you want to get more children reading, the support of one of the most popular children’s authors in the country is absolutely invaluable.
David and I have joined forces because we each believe in the importance of reading.
Standing here, it’s easy to forget that there are still, in this country, too many children for whom reading is a closed book.
One in 5 children still leaves primary school unable to read well enough to do well at secondary school - a figure that rises to 1 in 3 of our poorest children.
And what makes that even more heartbreaking is that they’re not just missing out on the immense joy of reading - that magical sense of being taken out of yourself, exploring new worlds and discovering characters you grow to love that stay with you for the rest of your life; but they’re also locked out of all of the opportunities the rest of their education has to offer.
It’s no surprise that people with strong reading skills are more likely to succeed at school, achieve good qualifications, find a rewarding and enjoyable career, even to enjoy good health.
Those who miss out on reading all too often miss out on those other advantages too.
Throughout their lives as adults, their problems with reading will all too often translate into frustration and failure, leaving them unable to realise their talents - something I often hear first-hand as a constituency member of Parliament.
That’s why we view our mission to tackle child illiteracy as a cornerstone of our commitment to social justice.
It’s why this one-nation government is absolutely determined to make sure that every child, no matter where they live or what their background, learns to read confidently.
So we’ve set ourselves an ambitious challenge over the next 5 years: to make children in this country become the most proficient in Europe.
It’s a bold ambition.
Although international surveys show that children in this country are relatively good in reading, our 9- and 10-year-olds are still ranked sixth in Europe, putting us behind places like Northern Ireland and Finland.
And of course, even if we run to catch up, those other countries won’t stand still.
So we don’t just need to match them; we need to overtake them.
Now that won’t be easy.
But that international study of 9- and 10-year-olds - The Progress in International Reading Literacy Study - reveals something very interesting.
The best readers in this country are already the best readers in Europe – beating even the top performers in Finland, number 1 in the rankings.
What’s holding us back is a long tail of underachievement, which leaves far too many young people behind, in particular the most disadvantaged.
That long tail of underachievement is nothing short of a scandal, and it’s why we need to help all schools and all pupils to reach the high level that our best readers are already achieving.
Which is why we’re here today.
Over the last 5 years we’ve taken some big steps forward, starting from the very beginning of children’s education, because getting reading right at the start of primary sets up a virtuous circle.
Children are more confident, so they read more, so they become even more confident and keep on reading more.
Before children even arrive in schools, our reforms to early years are helping them to acquire the language, skills and vocabulary they need to learn to read.
Our reformed national curriculum and more demanding qualifications and accountability system will set higher standards for literacy at every age.
More 6-year-olds are already on track to becoming strong readers through phonics.
And as the results published today have shown, that adds up to 120,000 more 6-year-olds on track to becoming strong readers in just 4 years.
We’ve invested in helping more schools to improve their phonics teaching because international evidence shows that systematic phonics is the most effective way to teach all children to read.
Phonics involves teaching pupils the basic letter sounds of the English language, and how they blend together to form words in a structured and systematic fashion - just like you do here at Charles Dickens Primary School. And I’d particularly like to recognise the work of the Minister of State for Schools Nick Gibb, who is championing this work.
We know that 99% of pupils who met the expected standard in the phonics check in 2014 went on to achieve or exceed the expected level in reading at the end of key stage 1 this year, helping drive up the overall number achieving or exceeding that level from 85% to 90% in just 5 years.
At the end of primary school, we’ve seen the number of pupils meeting the expected standard in reading rise, which translates to over 33,000 children in the last 5 years alone.
And reading well at primary school is the best preparation for doing well at secondary.
Our reformed curriculum and exams mean that children are now being introduced to more stretching literature and studying more ambitious GCSEs and A levels .
And because we don’t want any young people to fall behind, we’ve changed the rules so that every 16-year-old who doesn’t achieve a C grade in English GCSE has to continue to study the subject until the age of 18.
This year, that translated to over 4,000 more passes in English than the year before - thousands more young people starting adult life with one of the most crucial qualifications which employers expect and demand.
We’re making sure that no child falls through the cracks and is at risk of being left behind.
We’re starting children off at the beginning of primary school with phonics and using the phonics check to see that every child has made a good start to reading.
That’s why we’re also introducing resits in year 7 for children who don’t reach the required level at the end of primary, and after the age of 16, for young people who fall behind at GCSE .
These changes have already achieved results. And I want to take this opportunity to thank every single teacher, all over the country, who has worked hard to drive up standards.
But if we want to become the best in Europe, these improvements won’t take us far enough.
Now we’re going further.
We’re already raising standards of what we expect children to achieve at key stage 2 - raising the bar to encourage more children to work at the level top performers have already reached, to raise standards overall.
To increase children’s enthusiasm for reading, earlier this summer I announced that we’re working with The Reading Agency to extend their popular Chatterbooks scheme, setting up brand new book clubs in hundreds more primary schools all over the country.
We’re also supporting The Reading Agency to get 8-year-olds enrolled at their local library and into the library habit early.
We know that library users are much more likely to read in their own time than non-library users - accessing the existing 3,142 public libraries open in this country.
And today I can announce that we will do more to ensure all schools learn from what the best schools, like Charles Dickens Primary, and from what those around the world are doing to make sure every pupil is able to read well.
Evidence provided by organisations such as the Education Endowment Foundation offers invaluable information on which approaches are most effective. And we’ll encourage schools to follow this evidence, and to share their successes helping to drive up standards right across the country.
And we’ll keep encouraging schools to work together with the specific aim of improving literacy. Already in 8 phonics partnerships across the country, schools that excel at teaching early reading are supporting other schools that want to improve.
As well as how to read, we want all children to get to know the classics of English literature, especially if these books are not on their bookshelves at home.
Our ambition is that every secondary school should have sets of a wide range of classics so that whole classes can enjoy them together - books I loved as a teenager by authors like Jane Austen, Charles Dickens or Emily Brontë.
I am delighted that a number of publishers are currently exploring how to make collections of our greatest novels available to schools at minimal cost - and I encourage more to get involved.
Schools like St George’s Church of England Primary in Battersea, which is being visited today by the Minister of State for Schools Nick Gibb - a school which, despite many of its pupils coming from a high level of deprivation, demonstrates that disadvantage need not be a barrier to reading and writing well.
But we won’t just achieve our goal through schools and the government working alone.
The voluntary sector is playing a key role in raising literacy and I want to pay particular tribute to the ‘Read On. Get On’ campaign for their work in not only raising the profile of this important issue, but also in bringing together schools, charities and businesses committed to improving young people’s life chances.
And as the ‘Read On. Get On’ campaign has already highlighted, perhaps more than any other group, the support of families is crucial.
We want as many parents as possible to get behind our ambition, and to help their children to become excellent readers. We’ll be releasing new resources to help them do just that.
We will strengthen our emphasis on literacy in the critical early years because we know that by the age of 5, children from better-off backgrounds are over a year ahead in vocabulary compared to their disadvantaged peers, according to evidence from the Millennium Cohort Study.
So I am also announcing the launch today of an updated guide for parents - 4Children’s ‘What to expect, when?’ - which helps parents and carers understand how their child is learning and developing during their first 5 years.
It will emphasise the importance of language, communication and literacy and provides links to excellent supporting activities and resources.
There is no silver bullet, no magic wand we can wave to magically transform literacy for every child in this country.
But we owe it to our young people to explore every possible path when it comes to getting them reading well, to break down any barriers, support any who are left behind, to introduce every child from every background to our incredibly rich heritage of world-famous children’s literature.
Then we can trust those books to do the rest.
As Roald Dahl wrote:
Matilda’s strong young mind continued to grow, nurtured by the voices of all those authors who had sent their books out into the world like ships on the sea. These books gave Matilda a hopeful and comforting message: you are not alone.
Every single child in this country deserves to hear that message too - deserves to travel the world by the power of imagination, invention and glorious words.
That’s why we want to make this country the best in Europe, if not the world. And that’s why we’ve all come here today.
Thank you again to David for his support, and to all of you for working with us to make this ambition happen.
In 5 years’ time, we can start a new chapter as the best readers in Europe, giving every child in this country, no matter where they live or what their background, the chance to become the author of their own life story.
Published: 24 September 2015


Loan Ref: #767817 | Loan Value: ₦5,000 | Issued on: 31/12/2018 | Tenor: 3 months | Interest rate: 5% | Status: not fully paid | Due Date: 01/04/2019


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