The Best Click Frenzy Gaming Deals
by Alex WalkerIt's a busy week for new games: hello Jedi Fallen Order, Sword & No Psyduck Shield. But the week's about to get even more frantic, because it's sale season.
We already had a string of deals earlier in the week to coincide with Singles Day, the biggest online and retail shopping day of the year. But Australians have some extra bargain days of their own, starting with Click Frenzy.
The day doesn't traditionally have as much in the gaming and electronics space, compared to Black Friday/Cyber Monday, but this year the offering has expanded a fraction. They're not the only retailer that's offering Click Frenzy-themed discounts however, with online game marketplace Fanatical also offering a sitewide discount to coincide with the day.
We'll start with the hardware and accessories from Catch, which has some bargains on Switch controllers, games, and other peripherals, a quick twist to Harvey Norman for some cheap consoles, and then we'll do a big roundup of the online stores. I'll also periodically update this post with more bargains from other retailers as they come in.
Catch's Click Frenzy Gaming Deals
- Switch Pro Controller: $79
- Neon Red/Blue Switch Joy-Cons: $94
- Atari Flashback 8 Console: $89
- Neon Yellow Joy-Cons: $94
- PS4 Dualshock White Controller: $73
- Turtle Beach 600P Wireless Gaming Headset (PC/PS4): $118
- PS4 Dualshock Dual Charger: $34
- Havit Tenkeyless Mechanical RGB Keyboard: $49
- New Nintendo Switch Console (Grey): $398
There's more gaming deals here.
Harvey Norman
Not a big list, but it's a good one: solid deals on the new Switch and the Switch Lite with the EXTRATEN checkout code. Note that this will end just before midnight tonight. Keep in mind that there'll be plenty more around Black Friday/Cyber Monday, but this isn't a bad time to jump in.
- Switch Lite (Any Colour): $286.20
- New Nintendo Switch (Neon Red/Blue): $359.10
- New Nintendo Switch (Grey): $359.10
- Switch Lite Zacian/Zamazenta Edition: $296.10
- Logitech G920 PC/Xbox One Racing Wheel: $318
- Logitech G29 PS3/PS4 Racing Wheel: $318
The discount code applies to games as well, so using EXTRATEN will shave a few bucks off everything below. Prices are with the discount applied. Control at almost half price — already! — is a steal.
- Dishonored 2 (PC): $4.5
- MediEvil (PS4): $29.70
- Call of Duty Modern Warfare (PS4/XBO): $61.20
- Control (PS4/XBO): $44.10
- Plants vs Zombies: Battle for Neighborville: $43.20
- GRID: $61.20
- Need for Speed Heat (PS4/XBO): $61.20
- Luigi's Mansion 3 (Switch): $61.20
- Link's Awakening (Switch): $61.20
- Death Stranding (PS4): $61.20
- Crash Team Racing Nitro-Fuelled: $53.10
Plenty more where they came from here.
Fanatical
The UK-based PC codes retailer was one of the first to add support for the Australian dollar, and they've continued to keep an eye on the local market ever since. There's always a ton of rotating bundles and individual deals every day.
For Click Frenzy, there's an extra 10 percent off storewide with the CLICKFRENZY10 discount code. You can use this on just about everything, sans pre-orders and the Nintendo games that they're now selling digitally.
All games can be found by searching through the Fanatical site here. Prices below are with the CLICKFRENZY10 code applied, which runs until 1900 AEDT on Wednesday, November 13.
- Deus Ex: Mankind Divided: $6.46
- Syberia 3: $3.68
- Shadow of the Tomb Raider: $28.45
- F.E.A.R. Bundle (FEAR 1, 2, Reborn, FEAR 3): $6.07
- Thief Deadly Shadows: $1.94
- Hitman GO: $2.65
- Legacy of Kain Soul Reaver: $2.51
- Lara Croft and the Guardian of Light: $3.60
- Sid Meier's Civilization V: $6.74
- Sid Meier’s Civilization VI: $22
- Cities Skylines: $9.33
- Neo ATLAS 1469: $12.75
- Yooka-Laylee and the Impossible Lair: $30.54
- Blasphemous: $27.49
- Ni no Kuni Wrath of the White Witch Remastered: $64.06
- Death Mark: $31.47
- Indivisible: $48.82
- Cyberwar Bundle (Killing Room, Neon Chrome, Forward to the Sky, Black Hole + more): $5.75
You can view more deals over here.
This post is being updated regularly, so check back for more deals! And let us know if you spot anything good.
As Kotaku editors we write about stuff we like and think you'll like too. Kotaku often has affiliate partnerships, so we may get a share of the revenue from your purchase.


This challenge focuses on using the new for ES6 class
syntax.
Find the file index.js
and complete the tasks until all of your tests pass.
You can use yesterday’s work to help you. However, if you struggled a lot with that assignment, it is recommended that you attempt to re-write all code without “cheating” (peeking at yesterday’s code or copy-pasting it).
Plan to commit & push every time you get a new test passing!. Committing often makes it SO much easier to figure out “what broke my code”, and helps your TL keep track of how you’re doing.
If you run into trouble while coding, fight the good fight for 20 minutes and then get on the help channel. Remember to formulate your help request in a professional manner - like you would at the job - by including error messages, screenshots, and any other pertinent information about the problem, as well as what things you have attempted already while trying to solve it.
cd
into your newly cloned repository.
git checkout -b <firstName-lastName>
.
npm install
.
npm run test:watch
.


Prev
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Time Tracker
One
Two
Three
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But my friends and family call me Beeg (sounds like Beej). I am an engineering manager residing in San Diego, CA. When I'm not working, you can find me skateboarding, surfing, running, or just being outside with my family and dogs exploring the beautiful surroundings of San Diego.
I've been working in the Web Development/Software Engineering space for about a decade and absolutley love it. I've worked in many roles including design, indivdiual contributor (back end and front end), and technical lead. I'm currently an engineering manager with a wide range of experience developing not only product but engineers as well.
As an engineering manager, I managed the Inbox team. This inbox served as the defacto landing page for all Podium users and the central hub for which all other products worked out of. I managed a team of 9+ engineers and helped them establish goals, provided technical feedback, and ensured that Podium was a safe place they wanted to grow their careers.
As a tech lead, I worked as a player/coach within the Onboarding product. The Onboarding product helped customers get up to speed and set up quickly and helped users navigate their initial interactions within the app. I led a team of 4 engineers in technical roadmapping, sizing, and provided regular technical feedback to help them level up.
As a software engineer, I worked on multiple teams and a variety of products. Using technologies such as React, GrapQl, and Elixir, I was a key contributor in adding new channels for customers to interact on, creating a "customer has" store to determine what features a user has interacted with, and several onboarding flows to help users get the most out of Podium quickly.
As a Lead Instructor, responsibilities included teaching students, curating curriculum and managing 10-20 mentors and instructors. Developed several new course offerings including online, after hours, and Basecamp, all of which led to more students than ever having the opportunity to learn to code.
First full time front end developer and designer for Fashionphile, a high-end hand bag consignment store. Set standards for coding patterns and technology. Implemented an email campaign that led to highest non-holiday revenue quarter for company up to that point.
Worked on a team of 10+ engineers to refactor the order flow. Built an intuitive solution that worked equally well on mobile and web. Worked direclty with stakeholders and executives to set deadlines, set milestones, and ensrue the project progressed. Also worked with third party clients to create a tailored contact ordering solution.
If you want to find out even more about my work history, head on over to LinkedIn. If resumes are more your thing, take a look here.


agl-service-identity
Raw data access
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Data:
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User Profile (VIN:
)
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Update user profile
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Medics Conduct ‘Awake Brain Surgery’ on Italian Musician as He Plays Piano
Last year, award-winning South African musician Musa Manzini played his guitar during a six-hour brain surgery which was followed by his revealing that he is poised to return to the stage once fully recovered.
An Italian music teacher and jazz buff played several melodies on the piano while doctors removed a cancerous tumour from his brain, the website auslromagna.it reported on Saturday.
The name of a patient, which was operated at the Maurizio Bufalini Hospital in northern Italy’s city of Cesena, was not revealed.
Luigino Tosatto, the head of the clinic’s neurological department, said that the “exceptional awake brain surgery” was a success.
According to him, it was the best option to save the patient’s life, ensuring that he preserves all of his “artistic and musical skills.”
The so-called “awake brain surgery” technique allows medics to treat brain tumours and epileptic seizures without damaging the areas responsible for vision, speech or movement.
Patients remain conscious during such operations and are able to respond to questions helping the surgeons to know whether they are treating the correct part of the brain.
“Awake brain surgeries” have not been uncommon across the world over the past few years, including South Africa, where popular jazz musician Musa Manzini was successfully operated on as he was kept awake during the six-hour operation, partly to preserve and restore his finger movements.


If you see this, it means you are not using a modern browser. Please use an up-to-date version of your favorite modern browser to use this tool properly.


Run an ADB command from here to be able to see the output. Use this to troubleshoot issues or perform advanced operations. Please note wireless ADB is not supported but we provide the following example commands for you to experiment with.
To enable wifi click "Enable Wifi ADB" then "Connect to Wifi ADB" and finally disconnect your usb cable.
Enable Wifi ADB
Connect to Wifi ADB
List Devices
Enable USB ADB
Disconnect Everything
Reset ADB
Reboot Headset
{{adbService.adbResponse}}
Close SideQuest
Are you sure you want to close SideQuest? This will cancel any running tasks.
Patch Completed - Now Install the Custom Song APK
Below is the results of the patch process. If it shows that some songs were skipped you may need to investigate why. In some cases we have seen `.ogg` files renamed to `.egg` files and these need to be fixed in the songs to get them to patch.
Patch Results:
Current Levels: {{(qspResponse.presentLevels||[]).join(', ')}}
New Levels: {{(qspResponse.installedLevels||[]).join(', ')}}
Skipped Levels: {{getInstallSkipped()}}
Stream Options
Always On Top
Make scrcpy window always on top (above other windows).
Bit Rate
Encode the video at the given bit-rate, expressed in bits/s. Unit suffixes are supported: 'K' (x1000) and 'M' (x1000000).
Crop
Crop the device screen on the server. The values are expressed in the device natural orientation (typically, portrait for a phone, landscape for a tablet). Any MaxSize value is computed on the cropped size.
Fullscreen
Start in fullscreen.
No Input
Disable device control (mirror the device in read-only).
Max FPS
Limit the frame rate of screen capture. 0 is unlimited.
Max Size
Limit both the width and height of the video to value. The other dimension is computed so that the device aspect-ratio is preserved. 0 is unlimited.
Put your headset on before clicking Start Stream
Patch Error - Let's get you fixed!
It looks like there was an error patching your Beat Saber APK file. This can be frustrating but there are some options to get you going again.
We have added a troubleshooting section to the tools screen with information and guided solutions to fix the most common issues.
These are quick solutions and only take a few minutes. Feel free to connect with us on to say hello and get support.


Note
Click here to download the full example code
Plotting model stability¶
Next we’ll show off another demonstration of model fitting with pytma. We’ll generate a bunch of data with varying levels of signal to noise, and then show the stability of the model coefficients for each set of data.
import numpy as np
import matplotlib.pyplot as plt
import pytma
plt.style.use('ggplot')
# Set seed for reproducibility
np.random.seed(1337)
Generating data¶
We’ll generate some random data for this example.
N = 100
w = .3
noise_levels = np.linspace(.01, 10, 5) # These are our SNR levels
n_boots = 1000 # Number of bootstraps for the coefficients
x = np.random.randn(N)
Fitting the model¶
Now, we’ll loop through the varying levels of noise, and fit several models to different subsets of data. This will give us a distribution of model coefficients for each noise level.
def error_func(x, w):
return x * w
coefs = np.zeros([len(noise_levels), n_boots])
for ii, n_level in enumerate(noise_levels):
# Generate y for this noise level
y = w * x + n_level * np.random.randn(N)
for jj in range(n_boots):
# Pull subsets of data
ixs_boot = np.random.randint(0, N, N)
x_boot = x[ixs_boot]
y_boot = y[ixs_boot]
# Fit the model and return the coefs
model = pytma.Model(error_func)
fit = model.fit(x_boot, y_boot, (.5,))
coefs[ii, jj] = fit.params[0]
Assessing coefficient stability¶
Now we’ll assess the stability of the fitted coefficient for varying levels of noise. Let’s plot the raw values for each noise level, as well as the 95% confidence interval.
percentiles = np.percentile(coefs, [2.5, 97.5], axis=1).T
fig, ax = plt.subplots()
for n_level, i_coefs, percs in zip(noise_levels, coefs, percentiles):
ax.scatter(np.repeat(n_level, len(i_coefs)), i_coefs)
ax.hlines(percs, n_level - .2, n_level + .2, lw=2, color='r', alpha=.6)
ax.set(xlabel='Noise level', ylabel='Boostrapped coefficients',
title='Bootstrapped coefficients and 95% CI\nfor many noise levels')
Total running time of the script: ( 0 minutes 0.487 seconds)


Select the measures related to the project on which the clustering algorithms will apply to.
-
{measure.instanceName} ({measure.measureName})
{measure.instanceDescription}
DBScan is a density-based clustering algorithm: it gathers into clusters points that are closely packed together.
Parameters:
- distance: the distance function (here: {dbscan.data.distance.name})
- epsilon: the maximum distance (here: {dbscan.data.epsilon})
- size: the minimum size of clusters (here: {dbscan.data.size})
k-means clustering aims to partition n points into k clusters in which each point belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
Parameters:
- distance: the distance function (here: {kmeans.data.distance.name})
- length: (here: {kmeans.data.length})
- limit: (here: {kmeans.data.limit})
The expectation–maximization algorithm is an iterative method to find maximum likelihood estimates of points. The iteration alternates between performing an expectation step and a maximization step
Parameters:
- length: (here: {em.data.length})
- delta: (here: {em.data.delta})
- limit: (here: {em.data.limit})
SLink is a connectivity-based clustering, also known as hierarchical clustering. A cluster can be defined as the maximum distance needed to connect the different points of the cluster.
Parameters:
- distance: the distance function (here: {slink.data.distance.name})
- size: (here: {slink.data.size})


Approve/deny applications in the order they are listed. Be sure to include reason if application is denied.


+++ title = "Grilled rice pancake" slug = "grilled-rice-pancake" date = 2008-01-18T14:00:00+10:00 tags = ["tasty", "markets", "crazy-consumptions", "pancake"] locations = ["thailand/pai"] draft = false summary = """
Grilled rice pancake was one of the many delicious, fresh-cooked street snacks that I discovered at the Pai night market this evening. Its appearance is not so appetising: it's black and flat and slimy, and it looks not unlike what I imagine a female uterus would appear like (when grilled).  Best eaten fresh off the coals, in no more than 5 bites and gulps.
""" +++Grilled rice pancake was one of the many delicious, fresh-cooked street snacks that I discovered at the Pai night market this evening. Its appearance is not so appetising: it's black and flat and slimy, and it looks not unlike what I imagine a female uterus would appear like (when grilled).  Best eaten fresh off the coals, in no more than 5 bites and gulps.
{{< galleryphoto "2008-01-18-14-00-00--rice-pancake-who-ordered-medium-rare.jpg" >}}


Inslee Recall Petition
by BRIEFOLYMPIA, Wash. – The Supreme Court of Washington ruled that a recall petition against Governor Jay Inslee was “legally and factually insufficient to submit to voters.” A man claimed Inslee was away from Washington too frequently and failed to declare homelessness a statewide emergency.
Copyright © 2019 courthousenews.com


What is unit testing?
According to Jeff Canna, unit testing ensures that a particular method of a class successfully performs a set of specific tasks. Each test confirms that a method produces the expected output when given a known input.
What is NUnit? NUnit is an open source framework that facilitates unit testing for all .NET languages. It allows you to build your test cases directly into the code of the project.
How do I get NUnit? Download the appropriate file from here and install it. That’s it !!
Write your code
We will write our code now and let it drive our testing cases and exploration of NUnit. Make a new project, class library that similar to the code below. Below an implementation of a “largest” method that returns the largest number in a list.
1: using System;
2: namespace ClassLibrary1
3: {
4: public class Cmp
5: {
6: public static int Largest(int[] list)
7: {
8: int max = Int32.MaxValue;
9: for (int index = 0; index < list.Length - 1; index++)
10: {
11: if (list[index] > max)
12: max = list[index];
13: }
14: return max;
15: }
16: }
17: }
Test your code
Now it comes to the testing step. Writing test cases is a big topic to be discussed here. We will try to make our first t est as simple as possible because there is much to be tested the first time besides the code itself. First, add reference to NUnit and then write our test cases.
Then add a new class library to the project and add the code below to it. This code uses the NUnit namespace, attributes, Assert, and Is. We will explain all of these in detail in further posts. For now, just build the project.
1: using System;
2: using NUnit.Framework;
3: namespace ClassLibrary1
4: {
5: [TestFixture]
6: public class CmpTest
7: {
8: [Test]
9: public void LargestOf3()
10: {
11: int[] numbers = new int[] { 8, 9, 7 };
12: Assert.That(Cmp.Largest(numbers), Is.EqualTo(9));
13: }
14: }
15: }
Run your tests
Now we have got our code, and our test cases. The next step is to run that test cases to test our code and that is the role of test runners. A test runner knows to look for the [TestFixture] attribute of a class and for the [Test] methods within it. The runner will run the tests, accumulate some statistics on which tests passed and failed, and report the results to you. There are many test runners, you can use the NUnit GUI which is installed by default with NUnit (will be located in the programs menu of the start menu).
Using NUnit GUI
In the NUnit GUI, select File > Open or press Ctrl + O. This would show the Open Project dialog. Browse to the folder which contains the assembly containing your tests and open it.
Now you can test your code by clicking the Run button.
When we run a selected test, the GUI will display a large, colored, status bar. If all the tests pass, the bar is bright green. If any test fails, the bar is red. If any test was skipped, the bar is yellow.
It is obvious that our test case here have been failed. Try to fix the code and run the test again until it succeed


Interface CompilerOptions
Package: grammarkdown
Options that control the behavior of the compiler.
Properties
diagnostics
Indicates whether internal diagnostic information should be reported to the console.
Declaration
diagnostics?: boolean;
Property Value
boolean
emitLinks
Indicates whether to include hyperlinks in the emit output.
Declaration
emitLinks?: boolean;
Property Value
boolean
format
Indicates the emit output format.
Declaration
format?: EmitFormat;
Property Value
newLine
Indicates the token to use for line terminators during emit.
Declaration
newLine?: NewLineKind;
Property Value
noChecks
Indicates that diagnostics should not be reported.
Declaration
noChecks?: boolean;
Property Value
boolean
noEmit
Indicates that emit output should not be produced.
Declaration
noEmit?: boolean;
Property Value
boolean
noEmitOnError
Indicates that emit output should not be produced if any diagnostics are reported.
Declaration
noEmitOnError?: boolean;
Property Value
boolean
noStrictParametricProductions
Disables strict checking of production parameters.
Declaration
noStrictParametricProductions?: boolean;
Property Value
boolean
noUnusedParameters
Indicates that diagnostics should be produced if production parameters are unused.
Declaration
noUnusedParameters?: boolean;
Property Value
boolean
out
Indicates the file path for emit output.
Declaration
out?: string;
Property Value
string


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Be brief and to the point when writing a summary of your job description. Make a list of your responsibilities and do not write more than one to two sentences per entry.
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Inventory Demo API - Terms of Service
The Inventory Demo API is created for demos and training purposes.
The API is free for use, but can be shut down, deleted or restarted witout any notice.


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--- layout: newsstory title: THREE AGAIN FOR PIEARCE match: Yeltz 3 Tamworth 0 ---
Another storming hat-trick from Stevo Pie-arce extended our unbeaten run to 8 games against local rivals Tamworth .
Goals in the 2nd, 49th and 86th minutes means we're back in the top half of the table again.
Congratulations must (I suppose!) go to Nuneaton for clinching the title already by beating Atherstone. They've been easily the best team in what seems a mediocre bunch this year, and fully deserve to be back in the Conference after a long absence.


--- layout: publication category: publication title: Extensible Proof Engineering in Intensional Type Theory authors: Gregory Malecha where: PhD Dissertation abstract: |
We increasingly rely on large, complex systems in our daily lives---from the computers that park our cars to the medical devices that regulate insulin levels to the servers that store our personal information in the cloud. As these systems grow, they become too complex for a person to understand, yet it is essential that they are correct. Proof assistants are tools that let us specify properties about complex systems and build, maintain, and check proofs of these properties in a rigorous way. Proof assistants achieve this level of rigor for a wide range of properties by requiring detailed certificates (proofs) that can be easily checked.
In this dissertation, I describe a technique for compositionally building extensible automation within a foundational proof assistant for intensional type theory. My technique builds on computational reflection---where properties are checked by verified programs---which effectively bridges the gap between the low-level reasoning that is native to the proof assistant and the interesting, high-level properties of real systems. Building automation within a proof assistant provides a rigorous foundation that makes it possible to compose and extend the automation with other tools (including humans). However, previous approaches require using low-level proofs to compose different automation which limits scalability. My techniques allow for reasoning at a higher level about composing automation, which enables more scalable reflective reasoning. I demonstrate these techniques through a series of case studies centered around tasks in program verification.
links: - download: /publications/files/malecha-dissertation.pdf - slides: /publications/files/malecha-defense.pdf - talk: /reflections/2016/03/22/extensible-proof-engineering-in-intensional-type-theory/ tags: - mirror-core - rtac - coq - computational reflection --- @PhdThesis{malecha2015thesis, title = "Extensible Proof Engineering in Intensional Type Theory", author = "Gregory Michael Malecha", school = "Harvard University", month = November, year = "2014", url = {http://gmalecha.github.io/publication/2015/02/01/extensible-proof-engineering-in-intensional-type-theory.html} }


area factor water model unit change agricultural factors data total irrigation contribution used analysis SWAT climate crop soil value changes \documentclass[pt]{minimal} \setlength{\oddsidemargin}{-pt} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amsmath} \usepackage{amssymb} \usepackage{mathrsfs} \usepackage{upgreek} \usepackage{wasysym} Heihe driving relative use using human ET. Water crops common film region {border-style px;} #ffffff;} influence land mulch period results usage China activity grain main parameters plastic rate evaporation evapotranspiration study area. basin factor, factors. values River correlation increased mainly wind Hydrol. Irrigation Research average calibrated hydrological observed parameter ... analysis. cash coefficient distribution fertilizer humidity method rates ratio significant test -year Assessment Total area; factors, increase represents selected simulated spatial sub-basins surface .** Soil Table cultivated global irrigated management meteorological obtained remotely-sensed solar variable variance Agric. Manage. agronomy based calibration change. consumption increasing matrix px; region. sensing uncertainty {font-family .%. ./j.agwat... ./j.jhydrol... Arnold ET, activities arid calculation component daily font-size given greater groundwater load moisture order precipitation productivity quota remote respectively. sensitivity statistical temperature temperature, trend validation variables Bartlett’s Climate ETWatch Figure However, Ratio Wang annual calculate correlated crops; different double; effect effects index influences limited model. northwest range regional relatively response river speed speed, sphericity sub-basin water-saving >. (). KMO RMSE Sci. analysis, analyzed assessment border-color border-width calculated canopy contributions distributed dominant estimate growth identify increases large major maximum mean measured measures methods model, number potential quantify radiation, region, result shown significantly solid; spring study, sum transpiration typical uncertainties use, value; wheat {font-style {font-weight > ./s--- Agricultural Agronomy China, Commons Creative Factor Immerzeel Latin Plastic Precipitation Relative Sensitivity \frac{}{n}\sum according affect areas available bold catchment compensation composed courier; cultivation cumulative data, degree difficult directly drip efficiency em; environmental error estimation evaporation, factor. flow following following: humidity. hypercube important included including influenced information little middle mm, models modified monthly obtain original performed plant planting promotes provided pt;} radiation related requirement scale speed. studies sub-basins. usage; vapour


#import <Dilemma.h>
◆ antagonist
◆ choiceA
◆ choiceB
◆ dilemmaText
| - (NSString*) dilemmaText |
|
readwritenonatomicstrong |
◆ displayNameDilemma
| - (NSString*) displayNameDilemma |
|
readwritenonatomicstrong |
◆ enthusiasmDilemma
| - (NSNumber*) enthusiasmDilemma |
|
readwritenonatomicstrong |
◆ moodDilemma
| - (NSNumber*) moodDilemma |
|
readwritenonatomicstrong |
◆ moralChoiceA
◆ moralChoiceB
◆ nameDilemma
| - (NSString*) nameDilemma |
|
readwritenonatomicstrong |
◆ rewardADilemma
| - (NSString*) rewardADilemma |
|
readwritenonatomicstrong |
◆ rewardBDilemma
| - (NSString*) rewardBDilemma |
|
readwritenonatomicstrong |
◆ surrounding
| - (NSString*) surrounding |
|
readwritenonatomicstrong |
The documentation for this class was generated from the following file:
- /Users/adamaxe/Workspace/projects/teamaxe/code/moralife/Classes/Model/Generated/Dilemma.h


The following fields contain the solution token, a secret key that can be used to access your solution, evaluations
and comments.
Make sure to keep this token secret!
Most importantly, do not share it with other students.
Access Token
To view your submission on other devices, you may be asked for the following token.
Submission Link with Token
You can view your submission with this link.
fulibFeedback Settings
Use the button below to configure fulibFeedback and view evaluations for this submission in
.


--- layout: post title: RSS feeds and newsletters date: 2004-09-19 00:00:00 ---
Russ is right - *everyone* should have RSS feeds. I'm ashamed to say that we don't eat our own dogfood in this respect, but it's been added to the backlog of jobs to do...


GameTheoryAllocation: Tools for Calculating Allocations in Game Theory
Many situations can be modeled as game theoretic situations. Some procedures are included in this package to calculate the most important allocations rules in Game Theory: Shapley value, Owen value or nucleolus, among other. First, we must define as an argument the value of the unions of the envolved agents with the characteristic function.
| Version: |
1.0 |
| Depends: |
R (≥ 2.15.0), e1071, lpSolveAPI |
| Published: |
2016-07-24 |
| Author: |
Alejandro Saavedra-Nieves |
| Maintainer: |
Alejandro Saavedra-Nieves <alejandro.saavedra.nieves at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
GameTheoryAllocation results |
Downloads:
Reverse dependencies:
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Just Beside My Mind
Thinking about some things that seem connected but have not quite mapped it out so I am starting with an etch.
Temporal Lobe
When viewed from the side: the bottom back portion of the brain
Processes time
Processes language
What is it about processing time and meaning that is interwoven?
Communication? Measurment?
Our Atmosphere has the capacity to measure information from around the universe; possibly across time as well.
Measure is to observation
Measuring the state of certain conditions such as schrodinger’s cat experiment results in a finalized state. The measurement is the simple oberservation of either the cat or the quantom state of the poison’s trigger.
However..
If observation is stored in the mind as memory, could we
Mirrored network for synthesized origin or directionality (origin? originality?)
- When you hear a sound a pattern across a network in the mind will be activated.
- When you make or imagine that same sound there is a mirrored network that is formed and functions the same as when you hear it
- Interesting to think we would use a seperate but nearly identical set of actual neurons or nodes to synthesize the hearing of something instead of reusing the same pieces with a modulous for marking their origin
- For example: if we use 10 neurons that express a pattern of activation associated with an auditory experience, why then would we make a second 10 neurons that express a nearly identical pattern to associate with that experience being synthesized?
Rather, use the same 10 neurons and the same pattern with a slight augentation to represent the synthesized nature of the signal - this would also allow for more permutations or classes of synthesized (such as imagining the sound, someone else imagining - taking care of part of the unique identity of origin issue - someones else makes it or it just becomes itself)
- Mirror neurons could make sense from a Empathy, Sympathy, Apathy philosophical origin
- Proprioceptively we are able to synthesize where our body parts are and would be if we moved them
- Phatom limbs are caused when a limb is physically removed yet the body still receives feedback from their proprioceptive selves
example: you lose a limb in combat then feel it cramping up. The cramp grow terribly strong without the ability to “feel” it loosen up or releive itself.
Sharing is caring!


| Antigua |
VC Bird |
Surface vorticity, 850 hPa meridional velocity, Relative humidity at 500 hPa |
| Bahamas |
Nassau |
Surface vorticity, Surface Specific Humidity, Relative humidity at 500 hPa |
| Barbados |
CIMH |
Surface zonal velocity, Surface vorticity, Relative humidity at 500 hPa |
| Belize |
PSWGIA |
850 hPa airflow strength, 850 hPa divergence, Relative humidity at 500 hPa, 850 hPa vorticity |
| Cuba |
Maisi |
500 hPa vorticity, Relative humidity at 500 hPa, Relative humidity at 850 hPa, Surface divergence |
| Dominican Republic |
Santo Domingo |
Surface vorticity, Relative humidity at 500 hPa, 850 hPa vorticity, 850 hPa zonal velocity |
| Grenada |
MBIA |
Surface specific humidity, Surface vorticity, Relative humidity at 500 hPa |
| Guyana |
Georgetown |
Relative humidity at 500 hPa, 850 hPa zonal velocity, Surface divergence |
| Jamaica |
Worthy Park |
Relative humidity at 500 hPa, 850 hPa vorticity, 850 hPa zonal velocity |
| St. Lucia |
Hewanorra |
Surface vorticity, 850 hPa airflow strength, Surface specific humidity, Relative humidity at 500 hPa |
| St. Vincent |
Joshua |
Surface vorticity, Relative humidity at 500 hPa, 850 hPa meridional velocity |
| Trinidad and Tobago |
Piarco |
Surface vorticity, Surface specific humidity, Relative humidity at 500 hPa |


This structure defines the parameters needed for configuring a particular AMMU page. More...
#include <ammu.h>
Data Fields | |
| uint32_t | physicalAddress |
| uint32_t | logicalAddress |
| uint32_t | policyRegVal |
| uint32_t | ammuPageType |
| uint32_t | ammuPageNum |
This structure defines the parameters needed for configuring a particular AMMU page.
| uint32_t ammuPageConfig::ammuPageNum |
AMMU Page Number. Number of pages present in hardware differs for different page types
| uint32_t ammuPageConfig::ammuPageType |
AMMU Page Type. Refer enum ammuPageType_t for values
| uint32_t ammuPageConfig::logicalAddress |
Logical Address to which physical address is mapped
| uint32_t ammuPageConfig::physicalAddress |
Physical Address that is mapped to logical address
| uint32_t ammuPageConfig::policyRegVal |
Value of the policy register


{{> styles}}
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Johnathan Ríos
Specialist on Relations with Customers


Package
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A
add(long)
- Method in class
Fraction
Returns the fraction that results from adding an integer value to this fraction.
add(Fraction)
- Method in class
Fraction
Returns the fraction that results from adding an integer value to this fraction.
approximateSum()
- Method in class
Sequence
Returns a decimal approximation of the sum of all terms of this sequence.
D
divide(Fraction)
- Method in class
Fraction
divide(long)
- Method in class
Fraction
F
factorial(int)
- Static method in class
MyMath
Returns 1 * 2 * ...
factorial(long)
- Static method in class
MyMath
Returns 1 * 2 * ...
Fraction
- Class in
<Unnamed>
This class represents a fraction.
Fraction()
- Constructor for class
Fraction
Creates a fraction with an initial numerator and denominator of 1.
Fraction(long, long)
- Constructor for class
Fraction
Creates a fraction with the specified value
G
gcf(int, int)
- Static method in class
MyMath
gcf(long, long)
- Static method in class
MyMath
getDenominator()
- Method in class
Fraction
Returns the denominator of this fraction.
getNumerator()
- Method in class
Fraction
Returns the numerator of this fraction.
getTerm(int)
- Method in class
Sequence
Returns the specified term.
getValue()
- Method in class
Fraction
Returns a decimal approximation of the value of this fraction
M
main(String[])
- Static method in class
SequenceRunner
main(String[])
- Static method in class
SequenceTester
multiply(long)
- Method in class
Fraction
Returns the fraction that results from multiplying an integer value to this fraction.
multiply(Fraction)
- Method in class
Fraction
Returns the fraction that results from multiplying a given fraction with this fraction.
MyMath
- Class in
<Unnamed>
MyMath()
- Constructor for class
MyMath
S
Sequence
- Class in
<Unnamed>
This class represents a mathematical sequence
Sequence(int)
- Constructor for class
Sequence
Creates a sequence of fractions, where each fraction is of the form 1/(n!), starting with 1/0!.
SequenceRunner
- Class in
<Unnamed>
This class tests the Sequence class.
SequenceRunner()
- Constructor for class
SequenceRunner
SequenceTester
- Class in
<Unnamed>
Write a description of class SequenceTester here.
SequenceTester()
- Constructor for class
SequenceTester
subtract(Fraction)
- Method in class
Fraction
subtract(long)
- Method in class
Fraction
sum()
- Method in class
Sequence
Returns a decimal approximation of the sum of all terms of this sequence.
T
toString()
- Method in class
Fraction
Returns the string representation of a Fraction which is the numerator followed by a slash followed by the denominator.
toString()
- Method in class
Sequence
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isInterfaceVariable variable module
This function tests if a variable is a interface variable of the module. If yes, 1 is returned. Otherwise, 0 is returned.


Rafael Nadal leads Spain to win over Russia in Davis Cup Finals
MADRID – Rafael Nadal kept Spain’s hopes alive, then Marcel Granollers and Feliciano Lopez completed the comeback in the decisive doubles match to give the hosts a 2-1 win over Russia in the inaugural Davis Cup Finals.
Granollers and Lopez defeated Karen Khachanov and Andrey Rublev 6-4, 7-6 (7-5) to seal the victory for Spain in a marathon series that ended close to 2:00 a.m. local time on Wednesday.
The top-ranked Nadal earlier defeated Khachanov 6-3, 7-6 (10-7) to level the series 1-1 after Rublev had rallied to beat Roberto Bautista-Agut 3-6, 6-3, 7-6 (7-0) in the first match.
“It was a difficult situation for us,” Lopez said. “We needed this win, otherwise we could be close to being out of the tournament. Now we are in a good position to advance.”
Although only one of the matches reached three sets, it took nearly eight hours to complete the series at the “Caja Magica” (Magic Box) center court. Spain will be back in action on Wednesday against defending champion Croatia. Russia beat Croatia on Monday.
In the revamped Davis Cup format debuting this year, teams play only two singles and a doubles in each tie, with the group winners advancing to the knockout stage along with the two best second-place finishers in the six groups.
“The format makes things very difficult because every mistake puts you in a position that you don’t want to be,” Nadal said. “And losing that first match, we were under pressure.”
Serbia’s Novak Djokovic and Britain’s Andy Murray will make their first appearance on Wednesday. Serbia takes on Japan and Britain plays the Netherlands.
The Davis Cup Finals is being played in World Cup-style with all 18 teams playing in a single venue in the same week. It is the result of a 25-year partnership between the International Tennis Federation and Kosmos, a group co-founded by Barcelona soccer player Gerard Pique.
Brazil star Neymar was among the more than 12,000 in attendance, which also included a marching band organized by Spanish fans that fired up the crowd throughout the matches.
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Showing from: Now showing
Director: Ben Stiller
Cast: Robert Downey Jr., Jack Black, Ben Stiller
Genre: Action & Adventure, Comedy
Price: £3.99
Certificate: 15
Year: 2008
Duration: 116 mins
Also available in high definition: £4.99
An extended director’s cut of Ben Stiller’s irreverent comedy. After a series of freak occurrences, a group of actors shooting a war movie are forced to become soldiers in a real theatre of conflict.


Editing "Wiki"
# Utopia Documentation Wiki This wiki includes documentation and examples showing how to use Utopia. You can also browse the [code documentation](/code/index.html) for more detail. Feel free to [edit](edit) any part of this documentation and submit a PR. ## Introduction Guide Reading these pages in order will give you an overview of the design of Utopia, how to set it up for local development and how to deploy it. - [Development Environment Setup](development-environment-setup/) - [Server Setup](server-setup/) - [Your First Page](your-first-page/) - [What is `.xnode`?](faq/what-is-xnode/) - [Installing JavaScript Libraries](javascript/) - [Website Tests](testing/) - [Updating Your Site](updating-utopia/) ## Middleware The following are Rack Middleware which provide the core of Utopia. - [Static](middleware/static/) — Serve static files efficiently. - [Redirection](middleware/redirection/) — Redirect URL patterns and status codes. - [Localization](middleware/localization/) — Non-intrusive localization of resources. - [Controller](middleware/controller/) — Flexible nested controllers with efficient behaviour. - [Controller Actions](middleware/controller/actions/) — Invoke named actions. - [Controller Rewrite](middleware/controller/rewrite/) — Pattern match requests. - [Content](middleware/content/) — XML-style template engine with dynamic markup. - [Session](middleware/session/) — Session storage using encrypted client-side cookies. ## Examples Here are some open-source sites built on Utopia. - [www.codeotaku.com](http://www.codeotaku.com) ([source](https://github.com/ioquatix/www.codeotaku.com)) — Personal website, blog. - Financier ([source](https://github.com/ioquatix/financier)) — Small business management platform, invoicing.


Barbie's Pig Dice
RESET
Let's get this
party
started!
START
Player vs Player
Player vs Computer
Easy Computer
Hard Computer
Roll Dice
Hold
Let's play some Pig Dice!!


Class Lang
Core router: - main store for all routes - application request routing process before request dispatching in core - currently matched route store - application url completing - by configured routes into mod_rewrite form - or into query string form, containing controller and action params - params query string building - primitive param value or array value representation possible
- MvcCore\Router
- MvcCore\Ext\Router\Lang
public
|
#
SetAllowedLangs( )
Set international lowercase language code(s), allowed to use in your application. Default language is always allowed. |
public
|
#
AddAllowedLangs( )
Add international lowercase language code(s), allowed to use in your application. Default language is always allowed. |
public
|
#
SetDefaultLang( string $defaultLang )
Set default lang to use in cases, when is not possible to detect lang from url, not possible to detect lang from 'Accept-Language' http header or not possible to get from session. |
public
|
|
public
|
#
SetSessionExpirationSeconds( integer $sessionExpirationSeconds = 3600 )
Session expiration in seconds, by default - one hour. |
public
|
#
SetStricModeBySession( boolean $stricModeBySession = TRUE )
If TRUE, language is not possible to switch by different request url path begin, because for every different url path begin than session record is user automaticly redirected to url path begin by session. If TRUE, language version is possible to change only by special $_GET param called 'switch_lang=..' in query string. If not configured, FALSE by default. |
public
|
#
SetKeepDefaultLangPath( mixed $keepDefaultLangPath = TRUE )
If TRUE and language is necessary to request into default language url version, there is target url path completed into '/'+$this->DefaultLang, not to '/' (slash) only. If FALSE and language is necessary to request into default language url version, there is target url path completed only to '/' (slash). If not configured, FALSE by default. |
public
|
#
SetFirstRequestStrictlyByUserAgent( boolean $firstRequestStrictlyByUserAgent = TRUE )
If TRUE, first request language will be strictly recognized by user agent http header 'Acept-Language', not by requested url. First or not first request is detected by session. If not configured, FALSE by default. |
public
|
#
SetAllowNonLocalizedRoutes( boolean $allowNonLocalizedRoutes = TRUE )
If TRUE, redirect request to default language version if lang in request is not allowed. If not configured, TRUE by default. |
public
|
#
AddRoute( array|stdClass|
Append or prepend new request route. Route definition array shoud be array with route configuration definition, stdClass with route configuration definition or \MvcCore\Route instance. In configuration definition is required route name, controller, action, pattern and if pattern contains regexp groups, its necessary also to define route reverse. Route name should be defined as 'Controller:Action' string or any custom route name, but then there is necessary to specify controller name and action name inside route array/stdClass configuration or route instance. |
protected
|
|
protected
string
|
#
getRouteLocalizedRecord(
Get route non-localized or localized record - 'Pattern' and 'Reverse' |
public static
|
|
protected
string
|
#
urlByRoute( string $controllerActionOrRouteName, array $params )
Complete url by route instance reverse info |
protected
|
#
processLangVersion(
Detect language version by configured rules, set up detected version to current context, into request and into session and redirect if necessary. |
protected
|
#
setUpDetectedLangAndRedirectIfNecessary( string $detectedLang )
Store detected language in session, in request and in router. If detected is different than request version - redirect to detected version. Else if original request version is different than request version and boolean switch $this->allowNonLocalizedRoutes is true, redirect to default lang. |
protected
|
#
prepareProcessing(
Prepare language processing: - store request object reference - store request path into request original path - try to complete switching param from $_GET - try to complete request lang - try to complete session lang |
protected
|
#
redirectToDifferentLangVersion( string $targetLang )
Redirect to different language path version, only by changing first path element to different value. If router is configured to use default lang root path, keep it. |
protected
|
#
setUpRequestLangFromUrl( )
Try to set up lang from request, if there is any lang, correct request path, if thre is no request language, set up default lang. |
protected
|
#
setUpAllowedLangs( )
Add default language into allowed languages and change all array values into keys, set all values as 1 (int). |
protected
|
#
setUpSession( )
If session namespace by this class is not initialized, init namespace and move expiration (to next hour by default) |
protected
|
|
protected
array
|
#
parseUserAgentLangList( string $languagesList )
Parse list of comma separated language tags and sort it by the quality value |
string |
VERSION
MvcCore Extension - Router Lang - version: Comparation by PHP function version_compare(); |
#
'4.2.0'
|
string |
LANG_URL_PARAM
Key name for language in second argument $params in $router->Url(); method, to tell $router->Url() method to generate different language url. |
#
'lang'
|
string |
LANG_SWITCH_URL_PARAM
Special $_GET param name for session strict mode, how to change site language version. |
#
'switch_lang'
|
public
string|array
|
$Pattern
Route preg_match pattern in classic PHP form: array('en' => "#^/url-begin/([^/])/([^/])/(.)#", 'de' => "#^/url-beginn/([^/])/([^/])/(.)#",); |
#
''
|
public
string|array
|
$Reverse
Route reverse address form from preg_replace pattern in form: array('en' => "/url-begin/{%first}/{%second}/{%third}", 'de' => "/url-beginn/{%first}/{%second}/{%third}",); |
#
''
|
public
string
|
$DefaultLang
Default language, two lowercase characters, internaltional language code, lang to use in cases, when is not possible to detect lang from url, not possible to detect lang from 'Accept-Language' http header or not possible to get from session. |
#
'en'
|
public
string
|
$Lang
Result language, two lowercase characters, internaltional language code. Example: 'en' | 'fr' | 'de'... |
#
''
|
public
integer
|
$SessionExpirationSeconds
Session expiration seconds for remembering detected lang version by user agent. Session record is always used to compare if user is requesting different media site version then he has in session - if there is difference - user is redirected to session media site version and this seconds is time to remember that sessio record for described redirection. |
#
3600
|
protected
|
$session
Session record is always used to compare if user is requesting different lang version then he has in session - if there is difference - user is redirected to session lang version. |
#
NULL
|
protected
string
|
$sessionLang
Lang founded in session. |
#
''
|
protected
string
|
$requestLang
Lang founded in request. |
#
''
|
protected
string
|
$switchUriParamLang
Lang value in special $_GET param if session mode is strict. |
#
''
|
protected
string
|
$requestLangNotAllowed
If any, lang value in request, in url, not allowed to work with. |
#
''
|
protected
boolean
|
$stricModeBySession
If true, process lang version strictly by session stored version, so if request contains some version and in session is different, redirect user to session version value adress, only when lang switching param is contained in $_GET, switch the version in session. If false, process lang version more benevolently, so if request contains some lang and in session is different, store in session lang version from request and do not redirect user. |
#
FALSE
|
protected
boolean
|
$keepDefaultLangPath
If TRUE and language is necessary to request into default language url version, there is target url path completed into '/'+$this->DefaultLang, not to '/' (slash) only. If FALSE and language is necessary to request into default language url version, there is target url path completed only to '/' (slash). If not configured, FALSE by default. |
#
FALSE
|
protected
boo
|
$allowNonLocalizedRoutes
If TRUE, redirect request to default language version if lang in request is not allowed. If not configured, TRUE by default. |
#
TRUE
|
protected
boolean
|
$firstRequestStrictlyByUserAgent
If TRUE, redirect request to default language version if lang in request is not allowed. If not configured, TRUE by default. |
#
FALSE
|
protected
array
|
$allowedLangs
Allowed language codes to use in your application, default lang will be allowed automaticly. |
#
array()
|
$currentRoute,
$instance,
$request,
$routeToDefaultIfNotMatch,
$routes,
$urlRoutes
|


{% extends "accounts/base.html" %} {% block account_content %}
Move in the direction you want to go by using the arrows on your keyboard, the directional buttons or by typing the direction in the command bar.
Moving in a direction costs movement points, which are regenerated in time
You can interact with items by clicking on them or by using the command bar. For example, to pick a dagger on the ground in a room you can click on it and select 'Get' or type 'get dagger' in the command bar.
Use 'help' on the command bar for a list of available commands
You gain experience by killing things. Killing is unrestricted in this game so you can kill anything or anyone. Be careful though as things and people will fight back!


7 December 2005
The Ministry of Health in China has confirmed a further case of human infection with the H5N1 avian influenza virus. The case is a 10-year-old girl from the southern province of Guangxi. She developed symptoms of fever and cough on 23 November, followed by pneumonia. She remains in hospital, where she is receiving care.
Local health authorities have launched investigations to determine the source of exposure and search for further cases in the patient’s village of residence and surrounding areas. To date, monitoring of health status has revealed no additional cases of influenza-like illness. The Chinese Ministry of Health is supporting this investigation with an expert team.
This is the fourth human case reported in China. Of these, two were fatal.


Implementations of various beat tracking evaluation methods. More...
Functions | |
| def | evaluate_db |
| Evaluate beats on a whole database. | |
| def | downbeatEvaluate_db |
| Evaluate downbeats on a whole database. | |
| def | evaluate |
| Evaluation wrapper function to get scores for all evaluation methods. | |
| def | downbeatEval |
| Calculates downbeat scores based upon continuity based accuracy values as used in (Hainsworth, 2004) and (Klapuri et al, 2006) | |
| def | continuityBased |
| Calculates continuity based accuracy values as used in (Hainsworth, 2004) and (Klapuri et al, 2006) | |
| def | ContinuityEval |
| Sub-function for calculating continuity-based accuracy. | |
| def | cemgilAcc |
| Calculates the Cemgil et al's accuracy value as used in (Cemgil et al, 2001). | |
| def | amlCem |
| Calculates Cemgil accuracy but allowing for continuity-based allowed metrical levels. | |
| def | fMeasure |
| Calculates the F-measure as used in (Dixon, 2006) and (Dixon, 2007). | |
| def | pScore |
| Calculate the McKinney et al's PScore accuracy value as used in (McKinney et al, 2007). | |
| def | be_xcorr |
| computes the cross-correlation between x1 and x2, using lags in the range -maxlags and +maxlags | |
| def | gotoAcc |
| Calculate the Goto and Muraoka's accuracy value as used in (Goto and Muraoka, 1997). | |
| def | informationGain |
| Calculates the information gain as used in (Davies et al, 2010). | |
| def | FindBeatError_nor2 |
| Calculates the error of one beat sequence compared to another. | |
| def | FindEntropy |
| Calculates the entropy and beat error histogram. | |
| def | confidenceIntervals |
| Work out bootstrapping confidence interval. | |
| def | beats_to_text_file |
| Print out a beat sequence to a text file. | |
Variables | |
| int | minBeatTime 5 |
| ignore all beats up to this point in seconds | |
| float | fMeasure_thresh 0.07 |
| size of tolerance window for fmeasure | |
| float | cemgilAcc_sigma 0.04 |
| standard deviation of gaussian error function | |
| float | pScore_thresh 0.2 |
| range of time-limited cross-correlation for pscore | |
| float | gotoAcc_thresh 0.35 |
| maximum allowed relative beat error | |
| float | gotoAcc_mu 0.2 |
| maximum allowed mean beat error | |
| float | gotoAcc_sigma 0.2 |
| maximum allowed standard deviation of beat error | |
| float | continuityBased_phaseThresh 0.175 |
| size of tolerance window for beat phase in continuity based evaluation | |
| float | continuityBased_periodThresh 0.175 |
| size of tolerance window for beat period in continuity based evaluation | |
| int | informationGain_numBins 40 |
| number of histogram bins for information gain method | |
| tuple | generateResults_offsetRange np.array(range(-6,7),'float64') |
| range of fixed time offsets over which to test beat tracking algorithms | |
| int | generateResults_numMethods 9 |
| number of per file evaluation scores to find | |
| int | generateResults_truncate 0 |
| flag to indicate whether to truncate beats to range of annotations | |
| int | generateResults_plotting 1 |
| flag to indicate whether to show plots or not | |
| int | confidenceInterval_numSamples 1000 |
| number of bootstrap samples to take | |
| float | confidenceInterval_interval 0.95 |
| confidence interval | |
| int | downbeat_numBeatsPerBar 4 |
| number of beats per bar - used in downbeat evaluation | |
Implementations of various beat tracking evaluation methods.
All methods were derived from Matlab implementations by Matthew Davies.
Python versions by Adam Stark, 2011-2012.
License: MIT License
adamstark.uk [at] gmail.com
| def beat_evaluation_toolbox.amlCem | ( | anns, | |
| beats | |||
| ) |
Calculates Cemgil accuracy but allowing for continuity-based allowed metrical levels.
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
(c) 2009 Matthew Davies, Adam Stark
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.be_xcorr | ( | x1, | |
| x2, | |||
| maxlags | |||
| ) |
computes the cross-correlation between x1 and x2, using lags in the range -maxlags and +maxlags
| x1 | first input signal |
| x2 | second input signal |
| maxlags | the maximum lag to use |
(c) 2009 Matthew Davies, Adam Stark
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.beats_to_text_file | ( | beats, | |
| filename, | |||
path = "beats_out/" |
|||
| ) |
Print out a beat sequence to a text file.
| beats | sequence of beats |
| filename | file name |
| path | file path |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.cemgilAcc | ( | anns, | |
| beats | |||
| ) |
Calculates the Cemgil et al's accuracy value as used in (Cemgil et al, 2001).
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.confidenceIntervals | ( | scores | ) |
Work out bootstrapping confidence interval.
| scores | beat tracking scores |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.continuityBased | ( | anns, | |
| beats | |||
| ) |
Calculates continuity based accuracy values as used in (Hainsworth, 2004) and (Klapuri et al, 2006)
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.ContinuityEval | ( | anns, | |
| beats, | |||
| t, | |||
| p | |||
| ) |
Sub-function for calculating continuity-based accuracy.
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
| t | period threshold |
| p | phase threshold |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.downbeatEval | ( | anns, | |
| downbeats, | |||
nbpb = downbeat_numBeatsPerBar |
|||
| ) |
Calculates downbeat scores based upon continuity based accuracy values as used in (Hainsworth, 2004) and (Klapuri et al, 2006)
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.downbeatEvaluate_db | ( | annsList, | |
| beatsList, | |||
doCI = False |
|||
| ) |
Evaluate downbeats on a whole database.
| annsList | a list of numpy arrays containing ground truth annotations (in seconds) |
| beatsList | a list of numpy arrays containing estimated beat locations (in seconds) |
| doCI | boolean indicating whether or not confidence intervals should be calculated |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.evaluate | ( | anns, | |
| beats | |||
| ) |
Evaluation wrapper function to get scores for all evaluation methods.
| anns | ground truth annotations (in seconds) |
| beats | estimated beat locations (in seconds) |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.evaluate_db | ( | annsList, | |
| beatsList, | |||
measures = 'all' , |
|||
doCI = False |
|||
| ) |
Evaluate beats on a whole database.
| annsList | a list of numpy arrays containing ground truth annotations (in seconds) |
| beatsList | a list of numpy arrays containing estimated beat locations (in seconds) |
| measures | a list of strings indicating which evaluation measures to use. Choose from ['fMeasure','cemgilAcc','gotoAcc','pScore','continuity','infoGain','amlCem'] |
| doCI | boolean indicating whether or not confidence intervals should be calculated |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.FindBeatError_nor2 | ( | anns, | |
| beats | |||
| ) |
Calculates the error of one beat sequence compared to another.
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
(c) 2010 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.FindEntropy | ( | beatError, | |
| histBins | |||
| ) |
Calculates the entropy and beat error histogram.
(c) 2010 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.fMeasure | ( | anns, | |
| beats | |||
| ) |
Calculates the F-measure as used in (Dixon, 2006) and (Dixon, 2007).
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.gotoAcc | ( | anns, | |
| beats | |||
| ) |
Calculate the Goto and Muraoka's accuracy value as used in (Goto and Muraoka, 1997).
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.informationGain | ( | anns, | |
| beats | |||
| ) |
Calculates the information gain as used in (Davies et al, 2010).
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
(c) 2010 Matthew Davies, Norberto Degara
(Python implementation by Adam Stark 2011-2012)
| def beat_evaluation_toolbox.pScore | ( | anns, | |
| beats | |||
| ) |
Calculate the McKinney et al's PScore accuracy value as used in (McKinney et al, 2007).
| anns | sequence of ground truth beat annotations (in seconds) |
| beats | sequence of estimated beat times (in seconds) |
(c) 2009 Matthew Davies
(Python implementation by Adam Stark 2011-2012)


Recipe 12.9. Filtering Elements and Attributes Belonging to a Given Namespace
Credit: A.M. Kuchling
Problem
While parsing an XML document with
SAX, you need to filter out all of the elements and attributes that
belong to a particular namespace.
Solution
The SAX filter concept is just what we need here:
from xml import sax
from xml.sax import handler, saxutils, xmlreader
# the namespace we want to remove in our filter
RDF_NS = 'http://www.w3.org/1999/02/22-rdf-syntax-ns#'
class RDFFilter(saxutils.XMLFilterBase):
def _ _init_ _ (self, *args):
saxutils.XMLFilterBase._ _init_ _(self, *args)
# initially, we're not in RDF, and just one stack level is needed
self.in_rdf_stack = [False]
def startElementNS(self, (uri, localname), qname, attrs):
if uri == RDF_NS or self.in_rdf_stack[-1] == True:
# skip elements with namespace, if that namespace is RDF or
# the element is nested in an RDF one -- and grow the stack
self.in_rdf_stack.append(True)
return
# Make a dict of attributes that DON'T belong to the RDF namespace
keep_attrs = { }
for key, value in attrs.items( ):
uri, localname = key
if uri != RDF_NS:
keep_attrs[key] = value
# prepare the cleaned-up bunch of non-RDF-namespace attributes
attrs = xmlreader.AttributesNSImpl(keep_attrs, attrs.getQNames( ))
# grow the stack by replicating the latest entry
self.in_rdf_stack.append(self.in_rdf_stack[-1])
# finally delegate the rest of the operation to our base class
saxutils.XMLFilterBase.startElementNS(self,
(uri, localname), qname, attrs)
def characters(self, content):
# skip characters that are inside an RDF-namespaced tag being skipped
if self.in_rdf_stack[-1]:
return
# delegate the rest of the operation to our base class
saxutils.XMLFilterBase.characters(self, content)
def endElementNS (self, (uri, localname), qname):
# pop the stack -- nothing else to be done, if we were skipping
if self.in_rdf_stack.pop( ) == True:
return
# delegate the rest of the operation to our base class
saxutils.XMLFilterBase.endElementNS(self, (uri, localname), qname)
def filter_rdf(input, output):
""" filter_rdf(input=some_input_filename, output=some_output_filename)
Parses the XML input from the input stream, filtering out all
elements and attributes that are in the RDF namespace.
"""
output_gen = saxutils.XMLGenerator(output)
parser = sax.make_parser( )
filter = RDFFilter(parser)
filter.setFeature(handler.feature_namespaces, True)
filter.setContentHandler(output_gen)
filter.setErrorHandler(handler.ErrorHandler( ))
filter.parse(input)
if _ _name_ _ == '_ _main_ _':
import StringIO, sys
TEST_RDF = '''<?xml version="1.0"?>
<metadata xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:dc="http://purl.org/dc/elements/1.1/">
<title> This is non-RDF content </title>
<rdf:RDF>
<rdf:Description rdf:about="%s">
<dc:Creator>%s</dc:Creator>
</rdf:Description>
</rdf:RDF>
<element />
</metadata>
'''
input = StringIO.StringIO(TEST_RDF)
filter_rdf(input, sys.stdout)
This module, when run as a main script, emits something like:
<?xml version="1.0" encoding="iso-8859-1"?>
<metadata xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:dc="http://purl.org/dc/elements/1.1/">
<title> This is non-RDF content </title>
<element></element>
</metadata>
Discussion
My
motivation for originally writing this recipe came from processing
files of metadata, containing RDF mixed with other elements. I wanted
to generate a version of the metadata with the RDF filtered out.
The
filter_rdf function does the job, reading XML input
from the input stream and writing it to the output stream. The
standard XMLGenerator class in
xml.sax.saxutils is used to produce the output.
Function filter_rdf internally uses a filtering
class called RDFFilter, also shown in this
recipe's Solution, pushing that filter on top of the
XML parser to suppress elements and attributes belonging to the
RDF_NS namespace.
Non-RDF elements contained within an RDF element are also removed. To
modify this behavior, change the first line of the
startElementNS method to use just if uri
= = RDF_NS as the guard.
This code doesn't delete the
xmlns declaration for the RDF namespace;
I'm willing to live with a little unnecessary but
harmless cruft in the output rather than go to huge trouble to remove
it.
See Also
Library Reference and Python in a
Nutshell document the built-in XML support in the Python
Standard Library.
|


Mindfulness and Self-Awareness
There is a strong linear relationship between mindfulness and self awareness.  It provides clarity into your emotions and inner workings. I tried to do the body scan. It was for the most part a success, as it's pretty much like practising mindfulness, just making the focus of your mindfulness different parts of your body. My concentration wasn't perfect, but I tried. I thought the "my emotions are not me" section was very interesting. I hadn't thought about how we usually say "I am angry" instead of "I am feeling angry", and was intrigued by the discussion of viewing emotions as an experience and something you can control. I like to think that I have good control over my emotions and sort of tend to think this way already. I think it's important in order for people to keep their calm cool.
Problem Solving
During the first week when I was just starting to learn CSS I ran into a problem. I was doing an exercise in which I had to change the colour of a word to red. So I wrote what I believed the appropriate code was but it didn't work. I looked through everything again, and it seemed fine, so I tried again to no success. Refreshed the page and tried again, still nothing. I was quite frustrated by this point, so I decided to just leave it for a bit and come back. So I did and when I returned I read through the instructions again and looked at my code, and it clicked. I had written "color" the New Zealand english way instead of the American way. Which is why it took me so long to find out why it wasn't working. The error was only an error to people who use American english, so I would see it and not register any problem. It was so silly, and wasn't the only time it happened either. I can't think of an example of a problem I solve elogantly... I'll keep it in mind as we move forward though.
Psuedo-code is good. When times are tough something simple and approachable is nice. I enjoy trying things. I'll often just jump in and try a few things and see what sticks. It's not always the best way of doing things, but I like it. I think the rubber ducky method is a good one, and it's what I usually do when I'm doing Javascript and trying to work through a problem. It helps me lay out all the different things that are going on in an clear and understandble way. I've never paid a whole lot of attention to the specifics of error messages to be honest. I would just see that there is an error, and then try to fix it. Not that error messages aren't helpful, I just dont usually look at them too hard before trying to find a solution. Console logging is useful. And easy too! I google almost everything all the time. I especially like watching walkthroughs because I get a lot from actually seeing someone doing whatever task it is I'm trying to do. It usually means that there are less mistakes and more clarity. Google is the best. I have never been very good at asking for help. At school it was because I had very smart friends so I probably developed some sort of inferiority complex haha. I don't like standing out or bringing attention to myself, but unfortunately that isn't a good way to problem solve. The squeaky wheel gets the oil! Reflection is a great thing. A very important part of doing something is realising what you did well and where you can improve. So I do make sure to take notes of things I need to better, or habits I need to kick. Basically I want to do the best I can at everything I do, so first I need to know what I'm doing badly.
.map
looks for a query that you've specified and then makes an array with what it finds.
.filter
looks for a query that you've speficfied and then checks to see if it meets specific parameters,
and if it does, it'll put the results in a new array.
.reduce
makes arrays more simple by combining all of the elements it contains.


--- title: About me name: about ---
I’m a Product Designer at Geckoboard, I have over 8 years experience in the industry and working in small companies has given me experience in all aspects of the product process.
I’m adept at product research, user research, prototyping, UX and UI design, and love to user test my solutions with customers.
For a long time in my career I was the only woman. Realising this was the norm for a lot of us, I co-founded a community for womxn in Tech called Triangirls.
We meet monthly to discuss the topics many shy away from; f*ck ups, masturbation and pay negotiation. Yes. really. These are all topics we’ve run events on.
I’ve also written for for NetMag, been interviewed by Vice and spoken at companies like Samsung and Monzo.


ID: URI: Type: Stored as: Title: Mimetype: Tags: Date: Subject: From: To: Cc: Text content: Text content:


public class Document
extends java.lang.Object
createDocument(String, Collection)
is available. Document
objects are created, TF-IDF vectors can be
created for each Document
using the
buildVector(Map, Collection)
method.Document
objects can be compared
with calculateSimilarity(Document)
method.| Modifier and Type | Method and Description |
|---|---|
void |
buildVector(java.util.Map<java.lang.String,java.lang.Integer> vocabulary,
java.util.Collection<Document> documents)
Calculates the TF-IDF vector for this
Document and stores it
internally. |
double |
calculateSimilarity(Document doc)
Calculates the similarity value of this and given
Document based
on TF-IDF vectors. |
static Document |
createDocument(java.lang.String text,
java.util.Collection<java.lang.String> stopwords)
Creates a new
Document object from given text.Text is split into words and if a word is not in a Collection of
stopwords its added to this Document . |
java.nio.file.Path |
getPath()
Getter for path.
|
java.util.Collection<java.lang.String> |
getWords()
Gets all words in this
Document . |
void |
removeIfNotInVocabulary(java.util.Collection<java.lang.String> vocabulary)
Removes words from this
Document if they are not contained in
given vocabulary. |
void |
setPath(java.nio.file.Path path)
Setter for path of this
Document . |
public static Document createDocument(java.lang.String text, java.util.Collection<java.lang.String> stopwords)
Document
object from given text.Collection
of
stopwords its added to this Document
.text
- text of the whole documentstopwords
- Collection
of stopwords that should be ignored while
parsing the given textDocument
containing words from given textpublic java.util.Collection<java.lang.String> getWords()
Document
.Collection
of wordspublic void buildVector(java.util.Map<java.lang.String,java.lang.Integer> vocabulary, java.util.Collection<Document> documents)
Document
and stores it
internally. Vector contains values for all words in given vocabulary.
Document
objects are
created and they are all in given Collection
, because otherwise
vectors will not match.vocabulary
- Collection
of all words in all documentsdocuments
- Collection
of all documentspublic void removeIfNotInVocabulary(java.util.Collection<java.lang.String> vocabulary)
Document
if they are not contained in
given vocabulary.vocabulary
- Collection
of all words in all documentspublic double calculateSimilarity(Document doc)
Document
based
on TF-IDF vectors.doc
- another Document
public java.nio.file.Path getPath()
Document
; can be null
public void setPath(java.nio.file.Path path)
Document
.path
- the path to set


Rusty Steele
Hi, I'm a Hamster, Squirm!
Some of my favirite places:
My cage
My hamster wheel
Yugoslavia
Make sure to follow me on
Pet Web Site


Backbone.Undo.js
A simple Backbone undo-manager for simple apps
Download and participate
Watch a video tutorial
Watch this video to see how to work with Backbone.Undo.js and what's going on in the background.
Features of Backbone.Undo.js
Drop it in
Unlike undo managers based on the memento pattern Backbone.Undo.js doesn't require you to implement specific functions. Just drop it in and you're ready to go.
Using Backbone-Events
You don't have to store()
or restore()
certain states. Everything works automatically as Backbone.Undo.js uses Backbone-events to detect an undoable action.
Magic Fusion
Backbone.Undo.js has an internal feature called Magic Fusion that detects if events were triggered in one flow. That way it's able to undo and redo all of their actions at once.
Getting started
Backbone.Undo.js depends on Backbone.js which again depends on Underscore.js (or Lo-Dash.js). Make sure to include these two files before you include Backbone.Undo.js:
<script src="underscore.js"></script>
<script src="backbone.js"></script>
<script src="Backbone.Undo.js"></script>
Setting up your undo manager
Now, setting up your UndoManager is a matter of seconds: Just register the objects that should be observed and start their observation by calling startTracking()
or by passing track: true
on instantiation.
var myUndoManager = new Backbone.UndoManager({
register: [app.mainModel, app.mainCollection], // pass an object or an array of objects
track: true // changes will be tracked right away
});
Backbone.Undo.js now listens to the events those objects trigger. Thanks to Backbone-methods like previousAttributes()
it's able to retrieve the objects' data before and after an event was triggered and pushes it to its internal undo stack.
Alternatively you can register your objects and start observing them independently from instantiation.
var myUndoManager = new Backbone.UndoManager;
myUndoManager.register(app.mainModel, app.mainCollection); // Pass any number of arguments
myUndoManager.startTracking(); // Start observation after instantiation
Calling undo()
and redo()
After you've registered your models or collections and started tracking you just need to call undo()
and redo()
to undo and redo certain actions.
Demo: Textarea
The following demo application is a textarea that stores its value in a model every now and then.
Now, we want to provide this textarea with an undo manager (for the purpose of this demo let's ignore the fact that textareas usually have a native undo manager).
The textarea's model is globally accessible at demoTextarea
. All we have to do is register this model and start tracking its changes.
var undoManager = new Backbone.UndoManager({
register: demoTextarea, // The textarea's model is part of the global window-context
track: true // changes should be tracked immediately
});
We call the undo()
- and redo()
-method when the user clicks on the respective button.
$(".undo-button").click(function () {
undoManager.undo();
});
$(".redo-button").click(function () {
undoManager.redo();
});
We're done. Our demo app now has undo- and redo-functionality and we didn't have to modify our model at all. Try it out:
Activate Magic Fusion
Demo: Taglist
The following demo application is a collection of tags. It let's you enter several tags at once by seperating them by comma. An undo manager is installed to undo and redo your changes. However, the behavior is rather unexpected:
If you add several tags to the collection at once you can only undo them separately. This is because adding several models to a collection triggers several "add"
-events which result in several internal undo actions as Backbone.Undo.js creates its undo actions from the events an object triggers.
To solve this problem Backbone.Undo.js is equipped with a mechanism called Magic Fusion. This is an automatic detection procedure that can tell which undo actions belong together to undo and redo all of them at once.
All you have to do to activate Magic Fusion is pass true
when you call undo
or redo
.
undoButton.click(function () {
undoManager.undo(true); // Magic Fusion is activated
})
redoButton.click(function () {
undoManager.redo(true); // Magic Fusion is activated
})
With Magic Fusion the taglist's undo- and redo-functionality behaves just as expected:
Advanced functionality
Backbone.Undo.js generates its undo actions from events the observed objects trigger. It supports the following events:
- change
- add
- remove
- reset
Demo: Planes
The following demo application is a collection of colored planes which can be resized and moved.
When we resize or move a plane and undo this action an unexpected behavior occurs: Even with activated Magic Fusion the undo manager doesn't undo the complete resize or the complete move but only every single step of it, because it doesn't know that all the changes are part of one long, ongoing action.
To solve this problem we need to make sure that only the states before and after a resize or move are recognized so that the steps in between are ignored.
The central event in this case is the "change"
event because it's triggered whenever a plane is resized or moved and its data is turned into undoable actions, called UndoActions, inside Backbone.Undo.js.
The module responsible for creating UndoActions from events is called UndoTypes. There's an UndoType for every type of event. They are the core of Backbone.Undo.js
First, let's remove the UndoType for "change"
:
Backbone.UndoManager.removeUndoType("change");
Now, we can only undo adding new planes. Resizing and moving the planes around won't create any UndoActions:
The application sets the attribute "isChanging"
to true
when a resize or move begins and it sets it back to false
when the action is over. We use this circumstance and create an UndoType specific for this change-event.
Backbone.UndoManager.addUndoType("change:isChanging", {});
An UndoType is an object with the functions "on"
, "undo"
and "redo"
and an optional "condition"
property:
-
The
"on"
function is called when the event the UndoType is registered for gets triggered. It's called with the same arguments as a regular listener in Backbone. To generate an UndoAction that is pushed to the UndoStack it has to return an object with the properties"object"
— the collection or model which triggered the event,"before"
— the data before the event was triggered,"after"
— the data after the event was triggered and optionally"options"
— which can be whatever you need. -
The
"undo"
function is for restoring the"before"
-state. It gets called with the arguments"object"
,"before"
and"after"
and"options"
. -
The
"redo"
function is for restoring the"after"
-state. It gets called with the arguments"object"
,"before"
and"after"
and"options"
. -
The
"condition"
property can be a boolean value or a function and can prevent the creation of an UndoAction by beingfalse
or returningfalse
. If it's a function it's called with the same arguments as the"on"
function.
Backbone.UndoManager.addUndoType("change:isChanging", {
"on": function (model, isChanging, options) {},
"undo": function (model, before, after, options) {},
"redo": function (model, before, after, options) {}
});
The "on"
function is called once at the beginning of a resize or move and once at the end of it, because that's when the isChanging
attribute is changed. When it's called at the beginning, isChanging
is true
, at the end it's set to false
. We store the model's data at the beginning in an external variable and return it at the end together with the other data.
var beforeCache;
Backbone.UndoManager.addUndoType("change:isChanging", {
"on": function (model, isChanging, options) {
if (isChanging) {
// A resize / move has just begun
beforeCache = model.toJSON();
} else {
// The resize / move has ended
// Return this data so that an UndoAction is created from it
return {
"object": model, // The plane's model
"before": beforeCache, // Its data from before the resize / move
"after": model.toJSON() // Its current data / after the action
}
}
},
"undo": function (model, before, after, options) {},
"redo": function (model, before, after, options) {}
});
We now have the data from before and after an action. To undo and redo an action we only need to set the model's attributes to the before
or after
data.
So, the complete code looks like this:
Backbone.UndoManager.removeUndoType("change");
var beforeCache;
Backbone.UndoManager.addUndoType("change:isChanging", {
"on": function (model, isChanging, options) {
if (isChanging) {
beforeCache = model.toJSON();
} else {
return {
"object": model,
"before": beforeCache,
"after": model.toJSON()
}
}
},
"undo": function (model, before, after, options) {
model.set(before);
},
"redo": function (model, before, after, options) {
model.set(after);
}
});
By suspending the regular "change"
-UndoType and adding a new one we modified our undo manager's behavior to meet the user's expectations. The demo application now has the anticipated undo behavior.
The demonstrated way is not the only way of solving this issue. Other solutions are possible, for example using timeouts. Nevertheless, in any case the UndoTypes-API is the way to go.
It's also possible to add an UndoType for a specific instance of Backbone.UndoManager
instead of using the global approach presented here. By modifying the UndoTypes for specific instances you can have several undo managers and adjust their behavior to the events and needs of the objects they observe. With the merge()
-function you can combine them again in one single undo manager to have different, adjusted behavior, but only one main undo manager to call undo()
and redo()
on.
To read more about that and the UndoTypes-API in general click here.
API and documentation
A complete overview of the API is included in the README.md
file in the Github repository. Click here to read it.


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Theme:
illustrate yourself
doing your favorite
outdoor activity.
How to
enter:
1. Simply have your K-5th grader create his or her masterpiece based on
this month's theme.
2. Take a picture or scan it.
3. Upload to the artwork below by 3/31/17!
Grand Prize includes:
-$100 sponsored by our friends at SunState Federal Credit Union!
-The artist will be featured on our front cover!
-A CLASS PIZZA PARTY FROM DOMINO'S!
-An awesome SunState pad-folio to make new art creations!
Runners Up Prizes include:
-$25 sponsored by our friends at SunState Federal Credit Union!
-The artist will be featured in our magazine!
-A class pizza party from Domino's!
-An awesome SunState pad-folio to make new art creations!
PHOTOGRAPH THE ART STRAIGHT ON AND AT THE HIGHEST RESOLUTION POSSIBLE.
By uploading your child's image to our website, you are giving us permission to print & publish
your child's image & artwork.
Please email us if you do not wish
this to happen:
admin@schoolnotesmagazine.org


Add Debt
Debt ID
Creditor Name
Current Balance
($)
Minimum Payment
($)
Interest Rate
(%)
Add Debt
Boost the Accelerator by adding an additional amount
Boost Amount
Boost
Debt ID
Creditor Name
Current Balance
Minimum Payment
Interest Rate
Cash Flow Index
Annual Interest Payments
Paydown Rank
Debt Reduction Accelerator Payments
# Acclerator Payments to Payoff
Payoff Date
Action


Sample001
n/a
Check it out.
testr01 testing name
testr01 testing name second time
testr01 testing name once again
no light
wat
nil
Don't Check.


Candidate Search
Times-Tribune
Daily Local
Citizen's Voice
Standard Speaker
Wayne Independent
Pocono Record
Pike County Courier
Chester County
Twitter Alerts
Facebook Alerts


Take a look at our selections for the best sports cars of 2017 and 2018; if it's sporting an Editors' Choice badge, you'll know that we think it's one of the best sports cars on the market. You also can see our picks for the best premium sports cars, best muscle cars, best sports coupes, and best exotic sports cars here.
Audi
.Overview:Audi includes all the modern performance upgrades in its arsenal to make the TT RS one wicked sports coupe.
Overview:Audi’s luscious R8 is beautiful to behold, easy to live with, and simply marvelous to drive everything you’d want in a sports car
Overview: With snazzy styling and peppy performance, the TT and TTS appeal to both the practical and the passionate.
Porsche
.Overview:The 911 debuted in the 1960s and remains at the pinnacle of automobiledom while staying true to its roots as the quintessential sports car.
Overview:Flaunting a huge rear wing, giant air intakes, and fender-filling wheels and tires, there’s no mistaking the GT3 and GT3 RS for anything but the track-ready racers they are.
Overview:For decades, the 911 Turbo has been the stuff of legends, and it remains so today. With a monstrous 540 hp on tap—make that 580 hp in the case of the Turbo S—and a seven-speed dual-clutch automatic doing the shifting, Porsche’s all-wheel-drive supercar can hit 60 mph in less than three seconds.


Ann Marie Damon
MADISON-Ann Marie Damon, age 78, of Madison, passed away on Wednesday, Nov. 20, 2019.
She was born on April 7, 1941, in Madison, the daughter of Carl and Minnie (Skeim) Gulrud.
Ann graduated from Central High School in 1959. She married Edward Damon on January 7, 1961. Ann worked as a clerk for the Wisconsin Department of Revenue and was a faithful member of New Life Church. Ann cherished the time she spent with her family and their yearly trips to Hayward. She loved to tell stories and always finished them by saying, "and we laughed."
Ann is survived by her husband of 58 years, Edward; sons, Dave (Tammy) Damon and Doug Damon; daughter, Carla (Kevin) Buntrock; grandchildren, Justin Buntrock, Shawn (Nicole Bakken) Buntrock, and Ross (Alyx Ribble) Damon; sister, Marcia (DuWayne) Zimmermann; and in-laws; nieces and nephews; and many friends. She was preceded in death by her parents; granddaughter, Amy (Brandon Slattery) Damon; and six brothers, Curtis, Ordell, Audrin, Spencer, Dale and Roger Gulrud.
A funeral service will be held at NEW LIFE CHURCH, 7564 Cottage Grove Rd., Madison, at 11 a.m. on Tuesday, Nov. 26, 2019, with the Rev. Richard "Rich" Collier presiding. Burial will be held at Highland Memory Gardens.
Visitation will be held at GUNDERSON EAST FUNERAL AND CREMATION CARE, 5203 Monona Drive, Madison, from 4 p.m. until 7 p.m. on Monday, Nov. 25, 2019, and also at the church from 10 a.m. until the time of the service on Tuesday.
Ann's family wishes to thank SSM Health at Home Hospice for their care and support.
Online condolences may be made at www.gundersonfh.com.
Gunderson East
Funeral & Cremation Care
5203 Monona Drive
(608) 221-5420


The two words I chose were addition and subtraction. I was drawn to the fact that the words were opposites of each other, and the fact that they are mathematical tools as well as words in the English language. Originally, my idea was to splice the two words with a string of symbols that mean addition or subtraction (so a +, ++, AND, while true, etc…) for addition by drawing predominantly from syntax in programming languages. When I started to think about how to put all these together (along with Return, exit, -, NOT for subtraction) my design started to feel really cluttered, so I scrapped that idea and tried to simplify. What I ended up with for my design with these words was choosing the font Baskerville, as it’s a more fluid, calligraphic font and I wanted to play against the words mathematical meaning. At the same time, with the content of my design I highlighted the words’ explicit meaning by gradually adding letters to the word addition, and subtracting letters from the word subtraction. Working on this theme I went a step further and reduced the size of the sub in subtraction and increased the size of the add in addition. I was pleased with how well the two designs juxtaposed against each other. Combining the two together makes a very odd musical scale where the length and size of the words rise and fall. It was also interesting to me to see how the font’s size and the length of the words engages or disengages the eye of the reader (me).


| Date and Time | Speaker | Title & Abstract |
|---|---|---|
|
September 9, 2014
4 - 5pm Evans Library 133 |
Jonathan Goldfarb
Math Sciences Department Florida Tech |
Title: Numerical Methods for Solving Optimal Control Problems for the Second Order Parabolic PDEs
|
|
September 30, 2014
4 - 5pm Evans Library 133 |
Ryan White
Math Sciences Department Florida Tech |
Title: An Operational Calculus Approach to Random Walks on Random Lattices
Abstract: In this talk, we discuss a particular class of stochastic processes for modeling the accumulation of damage to networks or systems experiencing a sequence of attacks that incapacitate random numbers of nodes (e.g. components), each with a random weight (e.g. a cost). Each component has threshold(s) whose crossing indicate the system entering a critical state. An operational calculus strategy is used to derive probabilistic information about the process within random vicinities of passage times. Necessary ideas from (measure-theoretic) probability theory are introduced. |
|
October 7, 2014
4 - 5pm Evans Library 133 |
Joao Alberto de Faria
Math Sciences Department Florida Tech |
Title: Automorphism Groups of Rational Functions
Abstract: In this talk, we will discuss two algorithms to compute automorphism groups for single variable rational functions. These algorithms come directly from the paper "Computing Conjugating Sets and Automorphism Groups of Rational Functions", by Faber, Manes, and Viray. Throughout the talk, necessary ideas from algebra and dynamics will be introduced as needed. Afterwords, we will explain the connections between the current algorithms to my own work, which is making them work in higher dimensional cases. |
|
October 14, 2014
No talk (Holiday) | ||
|
November 11, 2014
No talk (Holiday) | ||
|
November 18, 2014
4 - 5pm Evans Library 133 |
Rana Haber
Math Sciences Department Florida Tech |
Title: Discriminative Interpolation for Functional Data Classification
Abstract: Functional Data, such as time series data, weather data, EEG data, handwritten data, and others, is assumed to have a smooth underlying function which can be represented using a basis expansion. Machine Learning’s traditional approach is to treat these datasets as feature vectors. In doing so, they do not leverage the fact that there is a smooth underlying function. We explore integrating this concept into machine learning algorithms starting with classification. |
|
November 25, 2014
4 - 5pm Evans Library 133 |
Jeremy Mandelkern
Assistant Professor Eastern Florida State College Mathematics Department |
Title: Generating the Spectral Density Function for Bessel's Equation using the method of Fulton, Pearson, and Pruess
Abstract: Theory and application of eigenfunction expansions for the Bessel Equation will be presented. The Appell system and it's properties will be defined. The spectral density function will then be computed using this system and the recent method given by Fulton, Pearson, and Preuss. |
|
December 2, 2014
4 - 5pm Evans Library 133 |
Roby Poteau
Math Sciences Department Florida Tech |
Title: Identification of Parameters in Mathematical Biology
Abstract: We consider inverse problems for the identification of parameters for systems of nonlinear ODEs arising in mathematical biology. We implement a numerical method suggested in U.G.Abdulla, Journal of Optimization Theory and Applications, 85, 3(1995), 509-526. The idea of the method is based on the combination of Bellman's quasilinearization with sensitivity analysis and Tikhonov's regularization. We apply the method to various biological models such as Lotka-Volterra system, the Pielou extension, bistable switch model in genetic regulatory networks, an angiogenesis model, a three-step pathway modelled by 8 nonlinear ordinary differential equations, etc. Numerical results confirm the quadratic convergence. Some challenges associated with the size of the system and unknown parameters, as well as the length of the time interval are discussed. |


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Our Mission Statement
Connect Alabama is organized and operated exclusively for charitable purposes in accordance with Section 501(c)(3) of the Internal Revenue Code. More specifically, Connect Alabama is dedicated to reducing inequality in computer literacy, technology access, and/or education among youth in Alabama, including, but not limited to, youth in rural Alabama.


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Growing up in poverty, children face tough challenges: hunger and malnutrition, limited access to education and medical services, social discrimination and isolation. But with support from people like you, we can help children get the health care, education, life skills, job-readiness training and confidence they need to create lasting change in their lives and communities. Together, we can end poverty for good.
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