$ python yourscript.py result: '{{ project.labels[0] }}' with 81% confidence
requests
library before, you might need to install it first.
Ask your teacher for help if you're not sure how to do that.
import requests # This function will pass your text to the machine learning model # and return the top result with the highest confidence def classify(text): key = "{{ scratchkey.id }}" url = "https://machinelearningforkids.co.uk/api/scratch/"+ key + "/classify" response = requests.get(url, params={ "data" : text }) if response.ok: responseData = response.json() topMatch = responseData[0] return topMatch else: response.raise_for_status() # CHANGE THIS to something you want your machine learning model to classify demo = classify("{{ testdata.text }}") label = demo["class_name"] confidence = demo["confidence"] # CHANGE THIS to do something different with the result print ("result: '%s' with %d%% confidence" % (label, confidence))
import requests # This function will pass your numbers to the machine learning model # and return the top result with the highest confidence def classify(numbers): key = "{{ scratchkey.id }}" url = "https://machinelearningforkids.co.uk/api/scratch/"+ key + "/classify" response = requests.get(url, params={ "data" : numbers }) if response.ok: responseData = response.json() topMatch = responseData[0] return topMatch else: response.raise_for_status() # CHANGE THIS to something you want your machine learning model to classifydata{{ $index + 1 }} = "{{ field ? field : 0 }}"demo = classify([ data{{ $index + 1 }}, ]) label = demo["class_name"] confidence = demo["confidence"] # CHANGE THIS to do something different with the result print ("result: '%s' with %d%% confidence" % (label, confidence))
import requests # Gets the contents of an image file to be sent to the # machine learning model for classifying def getImageFileData(locationOfImageFile): with open(locationOfImageFile, "rb") as f: data = f.read() return data.encode("base64") # This function will pass your image to the machine learning model # and return the top result with the highest confidence def classify(imagefile): key = "9dcb8cf0-7655-11e7-bec6-4b6cfab7e9c1a914e139-e673-47a9-b442-dcef47e30012" url = "https://machinelearningforkids.co.uk/api/scratch/"+ key + "/classify" response = requests.post(url, json={ "data" : getImageFileData(imagefile) }) if response.ok: responseData = response.json() topMatch = responseData[0] return topMatch else: response.raise_for_status() # CHANGE THIS to the name of the image file you want to classify demo = classify("{{ testdata.imagefile }}") label = demo["class_name"] confidence = demo["confidence"] # CHANGE THIS to do something different with the result print ("result: '%s' with %d%% confidence" % (label, confidence))
import requests, base64 # Gets the contents of an image on the Internet to be # sent to the machine learning model for classifying def getImageUrlData(wwwLocationOfImage): return base64.b64encode(requests.get(wwwLocationOfImage).content) # This function will pass your image to the machine learning model # and return the top result with the highest confidence def classify(imageurl): key = "{{ scratchkey.id }}" url = "https://machinelearningforkids.co.uk/api/scratch/"+ key + "/classify" response = requests.post(url, json={ "data" : getImageUrlData(imageurl) }) if response.ok: responseData = response.json() topMatch = responseData[0] return topMatch else: response.raise_for_status() # CHANGE THIS to the URL of the image you want to classify demo = classify("{{ testdata.imageurl }}") label = demo["class_name"] confidence = demo["confidence"] # CHANGE THIS to do something different with the result print ("result: '%s' with %d%% confidence" % (label, confidence))


3.3. LR PARSING
The action
(
I
,
z
,
A
→
α
)
indicates that in state
I
, on lookahead symbol
z
,
the parser will reduce by rule
A
→
α
.
Grammar 3.26
is not SLR (see
Exercise 3.9
), but it is in the class of LR(1)
grammars.
Figure 3.27
shows the LR(1) states for this grammar; in the ﬁgure,
where there are several items with the same production but different looka-
head, as at left below, I have abbreviated as at right:
S
′
→
.
S
&
?
S
′
→
.
S
&
?
S
→
.
V
=
E
$
S
→
.
V
=
E
$
S
→
.
E
$
S
→
.
E
$
E
→
.
V
$
E
→
.
V
$
V
→
.
x
$
V
→
.
x
$
,
=
V
→
.
*
E
$
V
→
.
*
E
$
,
=
V
→
.
x
=
V
→
.
*
E
=
The LR(1) parsing table derived from this state graph is
Table 3.28a
. Wher-
ever the dot is at the end of a production (as in state 3 of
Figure 3.27
, where
it is at the end of production
E
→
V
), then there is a
reduce
action for that
production in the LR(1) table, in the row corresponding to the state number
and the column corresponding to the lookahead of the item (in this case, the
lookahead is $). Whenever the dot is to the left of a terminal symbol or non-
terminal, there is a corresponding shift or goto action in the LR(1) parsing
table, just as there would be in an LR(0) table.
LALR(1) PARSING TABLES
LR(1) parsing tables can be very large, with many states. A smaller table
can be made by merging any two states whose items are identical except for
lookahead sets. The result parser is called an LALR(1) parser, for
Look-Ahead
LR(1).
For example, the items in states 6 and 13 of the LR(1) parser for
Gram-
mar 3.26
(
Figure 3.27
) are identical if the lookahead sets are ignored. Also,
states 7 and 12 are identical except for lookahead, as are states 8 and 11 and
states 10 and 14. Merging these pairs of states gives the LALR(1) parsing
table shown in
Figure 3.28b.
For some grammars, the LALR(1) table contains reduce-reduce con°icts
where the LR(1) table has none, but in practice the difference matters little.
65


UX Design
UX design is the process of designing (digital or physical) products that are useful, easy to use, and delightful to interact with. It's about enhancing the experience that people have while interacting with your product, and making sure they find value in what you're providing.
“User Experience Design” is often used interchangeably with terms such as “User Interface Design” and “Usability”. However, while usability and user interface (UI) design are important aspects of UX design, they are subsets of it – UX design covers a vast array of other areas, too. A UX designer is concerned with the entire process of acquiring and integrating a product, including aspects of branding, design, usability and function. It is a story that begins before the device is even in the user’s hands.


{% extends 'partials/large_card.html' %} {% load static %} {% block extracss %} {% endblock %} {% block extrajs %} {% endblock %} {% block head %} Studies {% endblock %} {% block top_button %} Create new study {% endblock %} {% block subhead %} A study is run by an agency, defines a project's overall parameters in both time and space, and can contain multiple related surveys. {% endblock %} {% block card_content %}
| Title | Agency | Manager | Manager Email | Delete |
|---|---|---|---|---|
| {{study.title}} | {{study.agency}} | {{study.manager_name}} | {{study.manager_email}} |


nips nips2003 nips2003-172 nips2003-172-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum
Abstract: We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure to the domain. The tree (or a distribution over trees) may be inferred using the unlabeled data. A prior over concepts generated by a mutation process on the inferred tree(s) allows efﬁcient computation of the optimal Bayesian classiﬁcation function from the labeled examples. We test our approach on eight real-world datasets. 1
[1] X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using Gaussian ﬁelds and harmonic functions. In ICML, volume 20, 2003.
[2] M. Szummer and T. Jaakkola. Partially labeled classiﬁcation with Markov random walks. In NIPS, volume 14, 2002.
[3] A. Blum and S. Chawla. Learning from labeled and unlabeled data using graph mincuts. In ICML, volume 18, 2001.
[4] M. Belkin and P. Niyogi. Semi-supervised learning on manifolds. 2003. To appear in Machine Learning, Special Issue on Theoretical Advances in Data Clustering. ¨
[5] O. Chapelle, J. Weston, and B. Scholkopf. Cluster kernels for semi-supervised learning. In NIPS, volume 15, 2003.
[6] T. M. Mitchell. Machine Learning. McGraw-Hill, 1997.
[7] D. Haussler, M. Kearns, and R. Schapire. Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension. Machine Learning, 14(1), 1994.
[8] C. Kemp and J. B. Tenenbaum. Theory-based induction. In Proceedings of the 25th Annual Conference of the Cognitive Science Society, 2003.
[9] L. Shih and D. Karger. Learning classes correlated to a hierarchy. 2003. Unpublished manuscript.
[10] J.-P. Vert. A tree kernel to analyze phylogenetic proﬁles. Bioinformatics, 1(1):1–9, 2002.
[11] R. Neal. Deﬁning priors for distributions using Dirichlet diffusion trees. Technical Report 0108, University of Toronto, 2001.
[12] H. Jow, C. Hudelot, M. Rattray, and P. Higgs. Bayesian phylogenetics using an RNA substitution model applied to early mammalian evolution. Molecular Biology and Evolution, 19(9):1951–1601, 2002.


Held monthly, ACM’s Hack and Tell is 6 hours of hacking – not for prizes, funding, or corporate recognition – but purely for the joy of creation. Whether you’re a beginner still honing your chops in 106A or a veteran dev, bring yourself and friends to join us from 11am to 5pm in Gates on Saturday! Start that project you've been putting off all quarter, program your dream retro platformer, or just learn to hack your first app.
Interested in analyzing data in realtime and harnessing the power of Storm? Twitter will be on campus Saturday, February 22nd to host a 4-hour graduate level workshop on real time analytics. If you're interested in working with large data sets, then bring your idea, learn Storm, code your idea, and execute it with help from Twitter Storm Experts. Bring your idea, learn Storm, code your idea, and execute it with help from Twitter Storm Experts. (RSVP) #TwitterAtStanford #TwitterBigDataStorm
Held monthly, ACM’s Hack and Tell is 6 hours of hacking – not for prizes, funding, or corporate recognition – but purely for the joy of creation. Whether you’re a beginner still honing your chops in 106A or a veteran dev, bring yourself and friends to join us from 11am to 5pm in Gates on Saturday!  Speakers from Carbon Lighthouse, Endless Mobile, Rock Health, and Khan Academy. API workshops with Microsoft, MongoDB, A16Z, and Meteor. Prizes for 1st, 2nd, 3rd place hacks, Most Social Good, and best use of Microsoft Azure Mobile Services.
Engineering Challenges at Quora
Given a discrete probability distribution, one can sample from it quickly using standard algorithms such as the alias method (Walker 1977). However, these algorithms assume the distribution does not change between samples, that is, the sampling is done with replacement. We present an efficient algorithm for sampling from a discrete probability distribution without replacement and its application at Hulu.
Development efficiency is vital to save time and iterate quickly. In an effort to improve front-end efficiency, Nodefront, a Node.js-powered utility, bundles a static site compiler, live development server, library fetcher, and build utility into one, simple command-line tool. Best of all, it's free and open source. Join Karthik for an introduction to Nodefront and how it can help your workflow.
Slides for the presentation are available online.
An in depth look at MongoDB and how we're leading the NoSQL revolution: 10gen is the company behind MongoDB, the open source document-oriented database helping tens of thousands of companies quickly and easily deliver, scale, and operate applications.
Reactivity and the realtime web: Reactivity is the key to writing next generation realtime web applications. This tech talk will break down how we think about reactivity at Asana, and provide a glimpse into some of the cutting edge reactivity research we are pursuing.
(5pm) In this tech talk Katherine Scott and Anthony Oliver from the lead developers of SimpleCV will discuss the current state of the art of computer vision in Python, using Python as a free and open-source alternative to Matlab, and our experience creating a start-up that focuses on web-enabled machine vision for manufacturing.
(6pm) "Hacking the Graph." Addepar's mission is to fix global finance by creating transparency and reducing risk. We'll present our idea of a global financial graph. We'll show the type of computations we can do on that graph to reveal risk in a novel way.
At Palantir Health, we want to empower the bioscience and healthcare experts who are solving the hardest problems in their domains to work with data as if they were computer scientists. Lekan Wang, Product Lead for Palantir Health (BS ‘09, MS ’11), and Abi Raja (’13), will talk about and show a few experimental summer projects they worked on toward this goal.
MySQL to NoSQL, the great debate like Cal vs. Stanford
Optimizing Hash Aggregation to Best Utilize the CPU - In my summer working on Cloudera Impala, I was tasked with finding the optimal hash aggregation algorithm. The naive implementation of this operation has an essentially random memory access pattern and thus slows down dramatically when the size of the hash table exceeds the size of processor cache. This talk will discuss the challenges and strategies for optimizing algorithms to best take advantage of modern CPU's and how this applies to the problem of hash aggregation.
Prismatic delivers realtime newsfeeds for thousands of learned topics based on your interests and social networks. The Prismatic backend requires many custom abstractions, sophisticated machine learning techniques, data crawling, and graph analysis algorithms. We discuss how our small backend team (just four engineers) built this stack in record time using a unique design philosophy facilitated by Clojure. In a nutshell, our problem-solving approach prefers lightweight composable custom abstractions for problems rather than monolithic open-source frameworks (e.g., Hadoop).
(1 hour) Game development using a tool called Construct 2, which allows you to build games and export to a number of platforms including Windows 8. There will be a tutorial to build an introductory shooter game, and you will learn how to use concepts like objects, events, and behaviors.
(1 hour)Secure off-line web apps with Firefox OS: Firefox OS is Mozilla's new project to develop an open and hackable mobile phone operating system. The talk will cover the basics of the architecture and porting web applications to use secure APIs. Bring your laptop and we will go over downloading and using B2G Desktop, the Firefox OS simulator that runs on Windows, Mac, and Linux. We will cover installation, basic usage, web application development and installation, remote debugging,and advanced Web APIs.
At TrialPay, an alternative payments platform with over 200 million users and 100 million impressions/day, we face many security-related challenges. Our CTO and co-founder, Eddie Lim, will be covering best practices and pitfalls to avoid when storing user credentials and credit card numbers.
ArduSat is a prototype nanosatellite platform that aims to give independent citizens the ability to perform affordable, on-demand space science. It is the first of many satellites that will carry the Arduino microprocessor, which NanoSatisfi (the team developing the satellite) aims to use to stimulate Science, Technology, Engineering, and Math (STEM) education and increase student interest in science and technology. The platform will be the first satellite to give unrestricted access to space hardware to private citizens worldwide.
Matt Dalio, CEO of Endless and Stanford alumnus, along with Stanford CS student Patrick Ward, will demo their product and discuss methods for developing a free Linux desktop environment and apps to serve billions in developing countries via smartphones. They’ll discuss portability, distribution, ease of use, network infrastructure constraints, and security.
(one hour) Salesforce Touch offers a new way for sales people to engage with customers, colleagues, and the world. Now reps and managers have the ability to close deals wherever they are, on any mobile device. With Touch, CRM is just the beginning. You can easily extend your success and take advantage of the power of HTML5 to build custom mobile apps on the Touch platform.
Trends in database technologies:Over the last few years we've seen a range of NoSQL stores from MongoDB to Cassandra to Neo4j break the traditional dominance of relational databases. This talk will look at the evolving use cases for the four main types of NoSQL data stores and will then look at the next big thing in databases - immutable data stores like datomic.
Druid is a distributed column-oriented analytical data store in use at Metamarkets (http://www.metamarkets.com). One Druid cluster currently exposes a data set of >30 billion rows of data representing >1.5 trillion impressions. The talk will discuss design considerations and architecture of the system.
Costa Sapuntzakis (PhD '06) of Pure Storage will talk about how to build an enterprise storage system around flash. The system is 10x faster than disk-based system, consumes 10x less power, takes 10x less space, is a lot simpler to setup and use, and for many workloads costs less. You'll learn about the architecture and data structures that make this thing tick as well as more general insights on using flash well. About the speaker: Constantine Sapuntzakis (PhD '06) works on Purity at Pure Storage. In 2005, Costa co-founded moka5, Inc., to commercialize his doctoral research into the delivery of software through virtual appliances. While at Cisco Systems in 2000, Costa developed the initial draft of the iSCSI protocol along with IBM.
Building high performance web applications:Learn how to build complex web applications that are fast and responsive. We'll cover a bunch of tips and tricks, which we used in developing our "Photos" page on the web site, including: - Taking advantage of automatic browser caching - Lazy loading of images - Hacking around DOM limitations - Making AJAX requests progressive to enable incremental loading - Using HTML5 local storage
(one hour) Scaling the Medical Genome: Counsyl is now doing genomic testing on more than 2% of all births inthe United States.We're a Bay Area genomics startup that's developed an affordable pre-pregnancy test featured in the New York Times, named one of Scientific American's Top 10 World Changing Ideas, and won the Wall Street Journal Innovation Award for Medicine. We will cover interesting material in robotics, sequencing, machine learning, or building the UI for the medical genome
Sift Science fights fraud with machine learning. This talk will present the kinds of fraud endemic to the Internet and how we use large-scale machine learning to predict it and fight back. We will focus on the system and algorithmic challenges of "real world" machine learning from hundreds of millions of complex, heterogeneous events and how Sift solves them.
Architecting a Scalable & Simple Web Frontend:Backbone.js and Bootstrap are great tools to use as a foundation for your product... but where can you go from there? This talk highlights front-end challenges and triumphs at Backplane, a Palo Alto based startup building communities and solving the problem of organized mass communication. We will go through some basics but will focus heavily on advanced topics such as optimizing frontend deployment, making up for existing libraries' weaknesses, JS OOP design patterns, and engineering your frontend for a growing organization.
Technical challenges scaling a service that sees over 100 million photos shared each day. Keeping request latency low while maintaining reliability and security with traffic patterns very unique to our application.
A candid talk about building and designing Hack Design (http://hackdesign.org/) in just 2 weeks and how to iterate quickly by designing in code. Topics touched upon include how to get started, best practices, automation, etc.
(One Hour)Realtime Ads on Twitter: A salient feature of Twitter is its real-time nature. As an event unfolds, Twitter users produce, as well as consume, tweets pertaining to this event. In most cases, trending events are never seen before and are short-lived. One of the interesting challenges we'll discuss is monetizing realtime, ephemeral realtime events.
A technical discussion of the various strategies Splunk employs for indexing, searching, and reporting over huge unstructured datasets. We will cover the actual structure of our indexes on disk, as well as how Splunk leverages them to provide high performance searching and reporting without an upfront schema. We'll discuss some of the challenges in reporting on structured versus unstructured data, and a sneak peek of some new upcoming technology that addresses these challenges. In lieu of a traditional dull powerpoint presentation, this will be purely whiteboard and demo based.
Sneakpeeq is re-imagining shopping experiences from the ground up. This has been fueled by the innovations in the web application space that has exploded as a large set of emerging frameworks has arrived on the scene. We'll dive deeper into one of these, AngularJS, and explore how we apply it at Sneakpeeq to write responsive and performant applications with a clean separation of concerns.
Software Defined Networking in the 10/40/100G Data Center: An overview of how Arista is pioneering new SDN switching technologies in the public/private cloud, and multi-tenancy Next Gen Data Centers. - Intro to Arista EOS: the power of running Linux in your network - The Command API: a JSON-RPC interface to the CLI - OpenStack integration - Fast Server Failover: the network and Hadoop working better together
At Ness Computing, our mission is to make recommendations personal. Ness’ first product is a mobile restaurant recommendation product. In order to provide such a service, and provide a more relevant experience for users, there are a number of concrete sub-problems that must be solved, which will be discussed. The first is Canonicalization, taking many different data sources to create a single set of golden data that is robust to noise, and cleaner than any of the individual datasets. The second is the use of Collaborative Filtering to provide personalized scores for how much a user will like one location versus another. The third is more intelligent recommendations, using the personalized score, along with other signals like time of day to suggest restaurants a user is likely to enjoy.
The Information Structure of Web Layout: There's a lot of information on the web, but most of it is designedfor people, not for automatic use by computers.Diffbot is a service that extracts and labels information from web pages by "machine reading" them, to make the information usable for aggregation, indexing, mashups, and automatic analysis. We'll talk about the machine learning tasks that Diffbot uses to extract information, and the stages of that processing, from HTML rendering to machine vision to NLP, and give an overview of the challenges in building a system able to interpret real-world web data, which require robust engineering as well as a combination of diverse approaches from NLP, the RDF/semweb community, and design semantics. Along the way, we'll demo some behind-the-scenes components of the technology and show how real production systems work. Bring your laptop!
Agile Data and Machine Learning: How Sharethrough uses the power of Scala, Hadoop, and agile development to built data driven ad products. Young engineers and data scientists often get overwhelmed and caught up with the latest algorithm. We'll discuss how the tools and concepts of software engineering are just as important as picking the right algorithm when building data products. In a startup environment the ability to rapidly iterate on underlying algorithms while shipping product is an exciting challenge, especially given the size of modern data sets.
Low Latency Programming and HPC Work Flow Management for Algorithmic Trading: Algorithmic trading strategies utilize machine learning and statistical models created using terabytes of data. These strategies stream live data from the exchanges and in a fraction of a second make a decision to buy or sell. Our talk will discuss some of the problems that we face in creating and running these strategies and the techniques and solutions that can help address these issues in any low latency, high throughput algorithmic system.
Scopely is creating the next generation of social mobile games, building a platform for app development with a focus on technology, distribution, and monetization. Through a new paradigm for the development, distribution, and monetization of mobile apps, we enable third-party game developers to build, retain and monetize a loyal engaged audience within a highly competitive app ecosystem. We have also created a social platform to engage users with brand advertisers. Scopely will discuss mobile gaming's unique opportunities, the technologies we use, and tools leveraged to increase monetization, retention, and drive awesome gameplay.
Real-Time Tracking of NASCAR cars for Live TV and Media: Learn how data, such as position, orientation, and velocity, is collected from a full field of at-speed, NASCAR racecars and transformed into real-time content for TV, the internet, and mobile devices. A combination of technologies including military-grade GPS, compact IMUs, and radio communication will be discussed.


GETSID
Section: Linux Programmer's Manual (2)Updated: 2008-12-05
Index Return to Main Contents
NAME
getsid - get session IDSYNOPSIS
#include <unistd.h>pid_t getsid(pid_t pid);
Feature Test Macro Requirements for glibc (see feature_test_macros(7)):
getsid(): _XOPEN_SOURCE >= 500
DESCRIPTION
getsid(0) returns the session ID of the calling process. getsid(p) returns the session ID of the process with process ID p. (The session ID of a process is the process group ID of the session leader.)RETURN VALUE
On success, a session ID is returned. On error, (pid_t) -1 will be returned, and errno is set appropriately.ERRORS
- EPERM
- A process with process ID p exists, but it is not in the same session as the calling process, and the implementation considers this an error.
- ESRCH
- No process with process ID p was found.
VERSIONS
This system call is available on Linux since version 2.0.CONFORMING TO
SVr4, POSIX.1-2001.NOTES
Linux does not return EPERM.SEE ALSO
getpgid(2), setsid(2), credentials(7)COLOPHON
This page is part of release 3.22 of the Linux man-pages project. A description of the project, and information about reporting bugs, can be found at http://www.kernel.org/doc/man-pages/.
Index
This document was created by man2html, using the manual pages.
Time: 05:33:03 GMT, December 24, 2015


I'm Bruno Vieira
Android Developer
- Age 24
- E-mail<EMAIL_ADDRESS>- Phone +55 21 98318 7851
Hello! I'm Bruno Vieira. Currently, I'm working with Android Development at Concrete Solutions and studying for a Bacharelor's degree in Unicarioca.
I truly believe that new learning is not a bad thing. As I can see, new learning means new challenges and the challenge is my energy to improve my knowledge to develop better, faster and with quality.
You can see more about my work here.Thank you for coming =]
Professional Skills
Portfolio
Work Experience
Concrete
Android Developer
I was responsible for working on a multi-disciplinary team, developing Android applications, ensuring quality with great techniques and new technologies, such as: MVP, Unit Tests, Robolectric, Git, Gradle...
Globo.com
Android Developer
I was responsible for working on a multi-disciplinary team, developing Android applications, ensuring quality with great techniques and new technologies, such as: MVVM with Architecture Components, Unit Tests, Android TV, Widgets, GraphQL, Git, Gradle...
Education
Programming Technician in Digital Games
Núcleo Avançado em Educação - NAVE RIO
Bachelor Computer Science
Centro Universitário Carioca - UniCarioca
Contact Me
Feel free to contact me =]
- phone +55 21 98318 7851
- E-mail brunovieiracrz@gmail.com


The configuration object is intended for future extensions.
These may
allow the application to override Libmarpa's memory allocation
and fatal error handling without resorting to global
variables, and therefore in a thread-safe way.
Currently, the only function of the Marpa_Config
class is to give marpa_g_new()
a place to put its error code.
Marpa_Config
is Libmarpa's only “major”
class which is not a time class.
There is no constructor or destructor, although
Marpa_Config
objects do need to be initialized
before use.
Aside from its own accessor,
Marpa_Config
objects are only used by marpa_g_new
and no reference to their location is not kept
in any of Libmarpa's time objects.
The intent is to that it be convenient
to have them in memory that might be deallocated
soon after marpa_g_new
returns.
For example, they could be put on the stack.
Initialize the config information to “safe” default values. Unspecified behavior will result if an initialized configuration is used to create a grammar.
Return value: A non-negative value. Always succeeds.
Error codes are usually kept in the base grammar, which leaves
marpa_g_new()
no place to put its error code on failure. Objects of theMarpa_Config
class provide such a place. p_error_string is reserved for use by the internals. Applications should set it toNULL
.Return value: The error code in config. Always succeeds.


Introduction
This documentation aims to provide all the information you need to work with our API.
Base URL
http://localhost
Authenticating requests
This API is not authenticated.
Endpoints
/
Example request:
curl -X GET \
-G "http://localhost/" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://localhost/"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers,
}).then(response => response.json());
Example response (200):
Lumen (8.0.1) (Laravel Components ^8.0)
Received response:
Request failed with error:
Create a new controller instance.
Example request:
curl -X POST \
"http://localhost/registration" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://localhost/registration"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers,
}).then(response => response.json());
Received response:
Request failed with error:


q: why is all the text pink?
a: it's my favorite color. the exact tone of pink used in the text on this site is called baker-miller pink. it's hex code is #FF91AF (i have this memorized). some history on why it has this name: in the 70s a scientist named alexander schauss was researching physiological responses to color. he discovered that this particular shade of pink had the most profound effect in lowering heart rate and calming whoever was looking at it. he then convinced the directors of a naval correctional facility to paint the walls of some prison confinement in the color, to see what effect it had on the prisoners. he named the color after the two directors of the facility, baker and miller. at the facility it was reported that "since the initiation of this procedure on 1 march 1979, there have been no incidents of erratic or hostile behavior during the initial phase of confinement."
q: why do you not use any capital letters?
a: i think capital letters are an abomination. we already use periods to mark new sentences, so capitalizing the first word in a sentence isn't really necessary. i prefer the uniformity provided by all of the letters being in the same case. i am also fine with all-caps, but i didn't use it for this site because i think that would come across as too aggressive.
if you have any other questions please email me and if i think it is good i'll add it to the site.


Drug: {{vm.name}}
Reported in {{vm.adverseEvents.inputEventCount | number}} adverse events
Proportional Reporting Ratio (Chart is clickable!)
Associated Symptoms
| Symptom | Proportional Reporting Ratio | Instances | |
|---|---|---|---|
| {{row.term}} | {{row.reportingRatio | number }} x | {{row.count | number}} ({{(100 * row.frequency) | number : 2 }}%) |


Interviewing is a skill in and of itself. You can be the best developer in the world but you may still screw up an interview.

— Max Howell (@mxcl) June 10, 2015
How many times have you come out of an interview and wondered what did I do wrong? Why did they reject me? As a candidate, it helps a lot to understand the expectations in an interview. In this article, I want to show every aspiring candidate the difference between a good and a bad interview and how it is perceived by the interviewer. We will compare and contrast two different interviews and learn from each of them so that you can tweak your actions to match the expectations.
Let me take the same question above “Inverting a binary tree”.
Interviewer (I): Hi, Welcome to our company. I am xxx doing yyy. So tell me about yourself.
Candidate (C) : I am xxx. I have about 5 years of experience in Backend development. I love solving technical problems…..
I: That’s great. So shall we move on to the problem-solving part?
C: Sure!
I: So you are given a binary tree. I want you to invert the binary tree and print the resulting tree.
C: (Thinking in the head) Hmmm Ok. A binary tree has two children. So I am assuming inverting means printing from leaf to root. So the easiest way to do that is to traverse the tree till the end and find the leaves…
I: (After 5 mins of complete silence) Do you understand the question? Do you need any clarification?
C: I am clear. Now I am just thinking of a way to print the nodes starting from the leaf.
I: What do you mean to print the nodes starting from the leaf?
C: So basically I should print from leaf to root right? It is easy to traverse until the leaf. But the hard part is traversing back?
I: Hmmm. Are you sure you understand the question right? Inverting a tree means you should swap the left and right children.
C: Sorry I am not clear. When you said invert I assumed you meant printing from leaf to root.
I: That’s alright (This is where you lost the job). Now that you are clear let’s proceed.
C: Yes I am clear. So now I have to swap the left and right nodes. That’s easy right. (Writes code in silence)
def invert(node)
t = node.left
node.left = node.right
node.right = t
return node
end
C: I am done with the code.
I: Cool. So what have you done here?
C: I have inverted the tree by swapping the left and right nodes. So I keep a temp variable to achieve the same.
I: (Trying to nudge towards a proper solution) But this swaps only the root node right?
C:(Puzzled) Hmm yes, so the left and right children will be inverted. That’s the question right?
I: (Still there is no clarity in question) So the question is the complete tree should be inverted. Not just the root.
C: Oh geez. So it is not just the root but the complete tree. Am I right?
I: Yes that is correct.
C: Ok. Let me think about it.
(After 2 mins)
C: I think I got it. So basically I need to do the same algorithm I wrote for the whole tree. Am I right?
I: Yes, but how do you do that?
C: (Starts writing Code)
def invert(node)
n = Node.new(node.val)
invert(node.left)
invert(node.right)
n.left = node.right
n.right = node.left
return n
end
So I am guessing this should work.
I: Hmmm, let me see. (Finds the issue. Can you?) I am not sure if it works. Can you please run me through it?
C: Sure. First I am inverting the left subtree, then the right subtree and then I am swapping them so that root is inverted.
I: Hmmm. But the left and right nodes are returning new nodes after the swap right? You are still swapping the old nodes.
C: I am not sure what you mean by that. I think this will work for all cases.
I: Great man! We have run out of time. Thanks for your time, it was lovely talking to you. HR will get back to you.
Now, what do you think was the final decision and what was the interviewer’s feedback? The hypothetical feedback would be something along these lines:
If this were an actual interview, the candidate would have been rejected. Now how should the ideal interview go?
Interviewer (I): Hi, Welcome to our company. I am xxx doing yyy. So tell me about yourself.
Candidate (C) : I am xxx. I have about 5 years of experience in Backend development. I love solving technical problems…..
I: That’s great. So shall we move on to the problem-solving part?
C: Sure!
I: So you are given a binary tree. I want you to invert the binary tree and print the resulting tree.
C: (Thinking out loud) Cool. So a binary tree has two nodes. So what exactly is inverting? is it swapping the left and right?
I: Exactly. So left node should be on the right and vice versa.
C: Ok. So in this case what happens?
Provides an example and clarifies input and output
I: You are correct to some extent. But this should happen for the whole tree, not just the root alone.(Notice how early the requirements were solidified)
C: Oh got it! So I am thinking I need to do it recursively. Man, that’s tough! Let me see. But before that, I’ll just check my understanding by running through one more example. Provides one more eg to clarify any missing pieces
I: Yes you are right. That’s the output. I think you got the problem completely. So how do you approach it?
C: Let me see. So to swap left and right, I can just use a temp. But then how will I do it for remaining? Oh ya, I could just recurse for the others and do the same.
I: Cool. Is there any problem with that approach?
C: Hmmm. Yes, if I just swap the left and right recursively, how will I track the old and new tree?
I: I am not sure I am following you. What is old and new?
C: What I meant is, there will be updated children, I need to swap them and not the old children.
I: Yes, correct.
C: Ya I can just call this function recursively for left and right and store those values in a variable. I could then update the tree with those variables. This way I can make sure the whole tree is inverted.
I: Cool. Anything else you are missing?
C: No I think. So it will take O(n) time and O(1) space as I don’t use any extra space.(Notice how proactively the candidate discusses time and space)
I: I am fine. You can start coding.
C: Sure. (Talks through the code while coding)
def invert(node)
invert(node.left)
invert(node.right)
node.left,node.right = node.right, node.left
return node
end
C: So I am done. Let me walk you through my code. So for a tree like …(Explains and dry runs with an example)
I: I guess you are right. Does it work for all cases?
C: Hmmm. I guess I’ll get Null pointer exception for an empty tree. Let me fix that by adding a null check.
I: Now it looks good. Anything else you are missing.
C: No, I think other things I have covered like no leaves, one leaf, etc.(Notice how he calls out each case he considered)
I: Cool. I am good. Any questions? :)
So what do you think about this interview?
Interviewing is a completely different skill from coding. Even though you are good at problem-solving, the interview is a setting where the interviewer is trying to decide between hiring you or not. So in addition to coding, you also need to understand the interviewer’s perspective so that you make it easy for him to hire you. In this article, I wanted to compare and contrast a good interview vs a mediocre one. Try to practice interview skills separately as the more you practice the better you get at it. You can reach out to me if you need help taking mock interviews.


--- layout: post title: "This Week's CSA Box (and How I'll Use It)" date: 2022-07-20 12:16:00 +0000 tags: menu image: imagecredits: ---
This past weekend, Kin and I bought an RV trailer. I immediately googled "RV trailer cookbooks" and was sort of appalled at the options. I mean, okay, there's a balance to be struck between opening up a can of whatever and heating it up on the little stovetop and constructing some elaborate meal to enjoy in the depths of the forest. But still. I don't need a cookbook to tell me how to make scrambled eggs; nor do I need one that tells me how to make a 16-ingredient frittata oven an open flame. So it's a new challenge for me, no doubt: figure out the best ("healthy," right?) meals — minimal mise en place, minimal grease and smoke — to make in my new tiny kitchen.
I'm not sure when we will actually pick the trailer up — we have to have a hitch installed on the car and have an educational walkthrough on how-to-RV. And then we have to plot our next getaway. We were supposed to head up to Arcata next week, but I've canceled our hotel room. We'll head north in the new digs. (We named our car "Kiefer." I suggested "Julia" as the name for the RV — a nod to Julia Child, but realized that Julia Roberts and Kiefer Sutherland were in Flatliners which isn't exactly what I want to invoke.)
Anyway. This week. This week, the vegetables in the River Dog Farm CSA will be:
We'll get a dozen eggs as well, and then from Frog Hollow Farm, we'll get pluots, nectarines, and peaches again.
And the week's menu goes something a little like this:
The fruit will be turned into smoothies, cakes, and my new love, galettes.


Trace-Viewer Tests
View a trace file:
Trace viewer
Record Selection Interactive Tests:
Run manually
short format
Warning
Exceptions


·
)·
: NothingIndicates no value. If a left argument is Nothing, the function is called with no left argument, and if the right is Nothing, it's not called and "returns" Nothing.
↗· ⌽ "abc" # Reverse instead of Rotate "cba"
Nothing can serve as a left argument in a train to string together multiple monadic functions.
↗(-+-) 5 ¯10 (-·+-) 5 5
For pattern matching in assignment or a block header, Nothing indicates an unused value.
↗F ← {𝕊 a‿·‿b: a∾b} F 1‿2‿3 ⟨ 1 3 ⟩


Graphic Information Technology, as a part of the Human Environmental Systems degree program, teaches social and environmental factors as they relate to technology. In a world that depends on the successful implementation of technological systems, it takes fine-tuned scientists, managers, entrepreneurs and technical operators to manage those systems. Students are prepared as experts in their field for a number of careers after graduation. The Human Environmental Systems Undergraduate programs include:
- Air Traffic Management
- Air Transportation Management
- Applied Science
- Environmental Resource Management
- Graphic Information Technology
- Health Systems Management
- Industrial and Organizational Psychology
- Product Development & Manufacturing Technology
- Professional Flight
- Technological Entrepreneurship and Management


I have been hit three of these ways. This is why we take the lane. Because our lives literally depend on it.
When you complain that cyclists shouldn’t be riding in the middle of the lane, you are suggesting that they should be killed.
I have been hit three of these ways. This is why we take the lane. Because our lives literally depend on it.
When you complain that cyclists shouldn’t be riding in the middle of the lane, you are suggesting that they should be killed.


Moto Moon
WiFi Setup
SSID Name
SSID Password
Save
✋ WiFi Credentials Saved!
Reconnect to WiFi and refresh the page to continue
Toggle Brake lights
Toggle Left Turn Signal
Toggle Right Turn Signal
Select a running light animation
One
Two
Three
Amination Frame
Save
Select a brake animation
One
Two
Three
Amination Frame
Save
Select a turn signal animation
One
Two
Three
Amination Frame
Save
TEMPLATE
DONE


Ingredients
2 servings
- 115g onion roughly chopped
- Thumb-sized piece ginger, peeled and roughly chopped
- 4 garlic cloves, peeled
- 2 green chillies seeds removed
- Small bunch coriander, stalks roughly chopped, leaves picked
-
18g coconut oil
- 142g unsalted cashews (toasted and finely blended)
- 3 tbsp garam masala
- 470g chopped tinned tomatoes
- 500ml chicken stock
- 650g chicken breast
- 190g raw Spinach/kale/beans/asparagus or broccoli
- 205g Total 0% Greek yoghurt
Method
For paste: Put the ginger, garlic, chilli and coriander stalks in a small food processor and blitz, add coconut oil to help blend to a smooth paste.
For sauce: Heat a large pan to a medium heat and add the paste, cook for 3-4 minutes. Then add the onions and garam masala and cook for a further 2 minutes. Add tinned tomatoes, chicken stock and cashews bring to a boil and reduce heat to a simmer, cook for 10-15 minutes. Finely slice chicken and poach in sauce for 4-5 mins or until cooked.
To serve: Stir yoghurt through sauce scatter the coriander leaves and serve with greens. If going to freeze don’t add the yoghurt add after reheating.
Tips: Use a stick blender if you haven’t got a food processor. Cook greens in sauce with the chicken.


Internet of Things(IoT) is an ecosystem of connected physical objects with the internet. In easy terms, IoT is when the internet and networks expand to manufacturing floors, energy grids, healthcare facilities, transportation, wearables - anything you can see around you.
The hype surrounding the Internet of Things is immense. Clearly, the scope for innovation and development is massive. IoT holds the potential of making our lives much more comfortable and systematic. Imagine if your alarm clock wakes you up, sends a message to your coffee maker to prepare coffee and tells the water geyser to set an appropriate temperature for you to have a bath; how insanely convenient would that be!
But like any budding technology, notable obstacles have appeared that may end up hindering the rapid spread of the Internet of Things. Some of the hurdles that IoT can face are listed below:
- Privacy and Security:
Since everything will be connected, breaching inside the network would be easy by the hackers. When everything from a toaster to a shirt is connected to the web, what does that mean for personal privacy and sensitive data? Companies will need to show they can protect customer information if consumers are to trust wearing shoes that keep track of where they go and how many steps they take. - Compatibility:
At present, there is no international standard for device compatibility. If we are hoping for an exchange of data between devices, they're going to have to be compatible. But device compatibility will need a lot of work. For example, Apple devices don't accept connectivity with any other device. Therefore, it becomes essential to institute some kind of standard. - Internet Availability:
This is, by far, the most common and obvious problem. Many people still don't have internet access, and connecting devices via the internet will not be possible without an internet connection (pretty obvious). Worldwide internet connections have to happen for the IoT to become a fully functioning reality. - Data Surge:
With an increase in internet-connected items will come a new surge of the data being generated. Companies will have to adopt new technologies like in-house storage options or cloud storage. Also, development in data mining areas will be crucial to manage and analyse the data in real time. Once the companies adopt these technologies, the spread of IoT is more likely to increase. - Unemployment:
With everything managed by technology, the need for manpower will decrease substantially. In today's world, the computers need to be managed by someone. But after IoT is put into motion, most of the management work will be done by the machines itself, thus bringing in unemployment.  Just like every new technology, people will have to embrace IoT without getting addicted to it. - Significant Expenses:
Fitting tiny sensors in new products is one thing, but incorporating them into structures that are already widely spread across the world is a big challenge in terms of capital. For example, IoT aims to create intelligent transportation system by placing sensors on cars as well as roads, traffic lights, utility grids, which will need a lot of investment. Progress has been made concerning the expenses of the IoT, particularly in the creation of cheaper sensors, but more progress is needed before organisations truly embrace using them in everything. Until then, the full implementation of the Internet of Things will likely be delayed.
These are some of the hurdles that represent some significant challenges businesses will have to contend with over the next few years. But many view it as a challenge worth facing. The number of developers specifically devoted to the Internet of Things is expected to increase to 4.5 million by 2020. Hence, with more attention being paid to the IoT, solutions will likely come, and with them new innovations and creative applications. Consumers can expect a much more connected life as a greater understanding of the IoT is put into practice.


|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_Engine_structs.hpp>
Public Attributes | |
| unsigned char | UnknownData00 [0xE8] |
| struct FURL | LastURL |
| struct FURL | LastRemoteURL |
| class UPendingNetGame * | PendingNetGame |
| TArray< struct FFullyLoadedPackagesInfo > | PackagesToFullyLoad |
| unsigned char | UnknownData01 [0x10] |
| TArray< class ULevel * > | LoadedLevelsForPendingMapChange |
| unsigned char | UnknownData02 [0x18] |
| TArray< class UObjectReferencer * > | ObjectReferencers |
| TArray< struct FLevelStreamingStatus > | PendingLevelStreamingStatusUpdates |
| class UGameViewportClient * | GameViewport |
| class UGameInstance * | OwningGameInstance |
| TArray< struct FNamedNetDriver > | ActiveNetDrivers |
| unsigned char | UnknownData03 [0x38] |
| TArray< struct FNamedNetDriver > | BeaconNetDrivers |
| TArray<struct FNamedNetDriver> ActiveNetDrivers |
| TArray<struct FNamedNetDriver> BeaconNetDrivers |
| class UGameViewportClient* GameViewport |
| struct FURL LastRemoteURL |
| struct FURL LastURL |
| TArray<class ULevel*> LoadedLevelsForPendingMapChange |
| TArray<class UObjectReferencer*> ObjectReferencers |
| class UGameInstance* OwningGameInstance |
| TArray<struct FFullyLoadedPackagesInfo> PackagesToFullyLoad |
| TArray<struct FLevelStreamingStatus> PendingLevelStreamingStatusUpdates |
| class UPendingNetGame* PendingNetGame |
| unsigned char UnknownData00[0xE8] |
| unsigned char UnknownData01[0x10] |
| unsigned char UnknownData02[0x18] |
| unsigned char UnknownData03[0x38] |


|
NumCpp
2.11.0
A Templatized Header Only C++ Implementation of the Python NumPy Library
|
Holds the information for a cluster of pixels. More...
#include <Cluster.hpp>
Public Types | |
| using | accumulator_t = typename std::conditional< std::is_integral< dtype >::value, int64, double >::type |
| using | const_iterator = typename std::vector< Pixel< dtype > >::const_iterator |
Public Member Functions | |
| Cluster ()=default | |
| Cluster (uint32 inClusterId) noexcept | |
| void | addPixel (const Pixel< dtype > &inPixel) |
| const Pixel< dtype > & | at (uint32 inIndex) const |
| const_iterator | begin () const noexcept |
| uint32 | clusterId () const noexcept |
| uint32 | colMax () const noexcept |
| uint32 | colMin () const noexcept |
| const_iterator | end () const noexcept |
| double | eod () const noexcept |
| uint32 | height () const noexcept |
| accumulator_t | intensity () const noexcept |
| bool | operator!= (const Cluster< dtype > &rhs) const noexcept |
| bool | operator== (const Cluster< dtype > &rhs) const noexcept |
| const Pixel< dtype > & | operator[] (uint32 inIndex) const noexcept |
| dtype | peakPixelIntensity () const noexcept |
| void | print () const |
| uint32 | rowMax () const noexcept |
| uint32 | rowMin () const noexcept |
| uint32 | size () const noexcept |
| std::string | str () const |
| uint32 | width () const noexcept |
Friends | |
| std::ostream & | operator<< (std::ostream &inStream, const Cluster< dtype > &inCluster) |
Holds the information for a cluster of pixels.
| using nc::imageProcessing::Cluster< dtype >::accumulator_t = typename std::conditional<std::is_integral<dtype>::value, int64, double>::type |
| using nc::imageProcessing::Cluster< dtype >::const_iterator = typename std::vector<Pixel<dtype> >::const_iterator |
|
default |
default constructor needed by containers
|
inlineexplicitnoexcept |
constructor
| inClusterId |
|
inline |
adds a pixel to the cluster
| inPixel |
|
inline |
|
inlinenoexcept |
returns in iterator to the beginning pixel of the cluster
|
inlinenoexcept |
returns the minimum row number of the cluster
|
inlinenoexcept |
returns the maximum column number of the cluster
|
inlinenoexcept |
returns the minimum column number of the cluster
|
inlinenoexcept |
returns in iterator to the 1 past the end pixel of the cluster
|
inlinenoexcept |
returns the cluster estimated energy on detector (EOD)
|
inlinenoexcept |
returns the number of rows the cluster spans
|
inlinenoexcept |
returns the summed intensity of the cluster
|
inlinenoexcept |
not equality operator
| rhs |
|
inlinenoexcept |
equality operator
| rhs |
|
inlinenoexcept |
|
inlinenoexcept |
returns the intensity of the peak pixel in the cluster
|
inline |
Method Description: prints the Cluster object to the console
|
inlinenoexcept |
returns the maximum row number of the cluster
|
inlinenoexcept |
returns the minimum row number of the cluster
|
inlinenoexcept |
returns the number of pixels in the cluster
|
inline |
returns a string representation of the cluster
|
inlinenoexcept |
returns the number of columns the cluster spans
|
friend |
osstream operator
| inStream | |
| inCluster |


The physical activity monitor (PAM) component was added to NHANES in 2003. The primary objective of the component is to collect objective information on physical activity. Activity patterns are difficult to study in free-living populations. Self-reported interview data are of limited value because respondents’ perceptions of activity intensity vary and periods of physical activity are difficult for respondents to recall and quantify. NHANES interview data for children and adolescents less than 16 years of age are usually provided by a proxy respondent and may be incomplete. Children may spend large amounts of time away from home and engage in sporadic periods of activity that are difficult for a proxy respondent to recall and quantify.
The physical activity monitors (PAMs) used in NHANES collected objective information on the intensity and duration of common locomotion activities such as walking and jogging. The device used in NHANES was the ActiGraph AM-7164 (formerly the CSA/MTI AM-7164), manufactured by ActiGraph of Ft. Walton Beach, FL. This device is powered by a small watch battery; a small electric signal is emitted during movement. The device is programmed to detect and record the magnitude of acceleration or “intensity” of movement; acceleration data are stored in memory according to a specified time interval. A one minute time interval or “epoch” was used in NHANES. Intensity readings were summed over each 1-minute epoch.
The activity monitors were not waterproof. Therefore, activities such as swimming and water aerobics were not recorded. Additionally, the device records uniaxial movement; activity information recorded for persons who use stationary bikes, elliptical trainers, or equipment that primarily involved upper body movement, such as rowing, may not be recorded accurately. Walking and similar types of activity are thought to be the main source of physical activity for most individuals. The information about locomotor activities is believed to be more complete and objective than self-reported information. A detailed description of the monitors and studies that have used this device is posted on the ActiGraph website: http://www.theactigraph.com/studysearch2.asp.
The NHANES examined sample 6 years of age and over received physical activity monitors to wear at home for 7 consecutive days. Subjects who used wheelchairs and subjects with other impairments that prevented them from walking or wearing the PAM device were not given a monitor.
Subjects were recruited for the component at the mobile examination center. A health technician or phlebotomist described the protocol to eligible subjects. The monitors were programmed to begin recording activity information for successive 1 minute intervals (epochs) beginning at 12:01 a.m. the day after the health examination. The device was placed on an elasticized fabric belt, custom-fitted for each subject, and worn on the right hip. Subjects were told to keep the device dry (i.e. remove before swimming or bathing) and to remove the device at bedtime.
A toll-free telephone number and information materials describing the monitor were given to the subjects. Subjects were not asked to maintain activity logs, diaries, or records of their monitor wear. The activity monitors were returned by mail in postage-paid padded envelopes that were provided. Subjects received $40 remuneration after their monitors were returned.
The PAXRAW file is a very large data file (> 2 GB) and contains multiple records per subject. The intensity file records consist of sequential minute by minute records of activity intensity beginning from the time the device was initialized. Subjects have up to 10,080 intensity count records. The intensity data were released in are available in 2 formats: a DVD format (2 GB) and an online zipped file format.
The PAM component was completed in the body measurements/anthropometry component room of the mobile examination center. The PAM protocol is described in Chapter 6 of the Body Measurements Procedures Manual which is listed on the NHANES 2005-2006 website along with other examination component manuals.
Survey staff completed an examiner training program that covered the basic operating features of the PAM device, equipment operation, subject recruitment strategies, PAM device initialization, and troubleshooting. Field performance and response rates were monitored by NCHS and contractor staff.
Initial data reviews were performed by NCHS and survey collaborators from the National Cancer Institute (NCI), the agency that funded the PAM component. The intensity files were reviewed for outliers and unreasonable values. The criteria used for reasonable ranges of activity count data were based on published literature and expert judgment. Notes pertaining to the variables in this file are provided in the codebook file.
PAXSTAT: A component status code is included in the file. A PAXSTAT value of ‘1’indicates that the activity monitor records were deemed to be reliable based on a preliminary review of the raw data. A PAXSTAT code of ‘2’ denotes data that may be less reliable based upon a preliminary review. An exhaustive review of the PAM data was not performed however and analysts are encouraged to review the data carefully when completing their analyses.
PAXDAY: Day of the week; PAXDAY=1 for Sunday, 2 for Monday and so forth.
PAXN: Sequential observation number in minutes as recorded by the monitor device. The range begins with minute 1 on Day 1 (PAXN=1) and ends with the last minute of day 7 of monitor wear (PAXN=10080). Each day of wear produces 1440 individual minute records. The PAXN values for Day 1 range from 1 to 1440; Day 2 PAXN range from 1441-2880, and so forth.
PAXHOUR-hour of day the intensity data were recorded in military time or 24 hour clock.
PAXMINUT- minute value associated with a particular hour (PAXHOUR). The minute value shown is the start of the minute. For example, for the time 1201 hours, the start of the minute occurs at 1200 hours and PAXMINUT would be 00.
PAXINTEN is the intensity value recorded by the device. Each minute has an intensity value.
PAXSTEP is the step count value recorded by the device. The PAXSTEP value is expressed as step counts per minute.
PAXCAL- Denotes whether the monitor was in calibration when it was returned by the subject. The data for monitors that were out of calibration (PAXCAL=2) may be less reliable.
The NHANES examined sample weights should always be used for analyses with PAM data. Please refer to the NHANES Analytic Guidelines for further details on the use of the NHANES sample weights and other analytic issues.
The NHANES website for this data set includes a link to the NCI website. SAS programs and additional information about accelerometry data are included.
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 1 | Data is deemed reliable | 72294851 | 72294851 | |
| 2 | Data reliability is questionable | 2579244 | 74874095 | |
| . | Missing | 0 | 74874095 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 1 | Yes | 71159460 | 71159460 | |
| 2 | No | 3714635 | 74874095 | |
| 9 | Don't know | 0 | 74874095 | |
| . | Missing | 0 | 74874095 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 1 | Sunday | 10688322 | 10688322 | |
| 2 | Monday | 10705886 | 21394208 | |
| 3 | Tuesday | 10715049 | 32109257 | |
| 4 | Wednesday | 10709780 | 42819037 | |
| 5 | Thursday | 10700083 | 53519120 | |
| 6 | Friday | 10691594 | 64210714 | |
| 7 | Saturday | 10663381 | 74874095 | |
| . | Missing | 0 | 74874095 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 1 to 10080 | Range of Values | 74874095 | 74874095 | |
| . | Missing | 0 | 74874095 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 0 to 23 | Range of Values | 74874095 | 74874095 | |
| . | Missing | 0 | 74874095 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 0 to 59 | Range of Values | 74874095 | 74874095 | |
| . | Missing | 0 | 74874095 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 0 to 32767 | Range of Values | 74874095 | 74874095 | |
| . | Missing | 0 | 74874095 |
| Code or Value | Value Description | Count | Cumulative | Skip to Item |
|---|---|---|---|---|
| 0 to 32767 | Range of Values | 74874033 | 74874043 | |
| . | Missing | 62 | 74874095 |


The Crowdsourced FIRE Simulator (cFIREsim) - Open Source
Portfolio:
Spending:
Retirement Start Year:
Retirement End Year:
Run Simulation


VITUNES-ADD(1) BSD General Commands Manual VITUNES-ADD(1) NAME vitunes-add -- add files to the database SYNOPSIS vitunes -e add path [...] DESCRIPTION The add e-command is used to add files to the vitunes database. For every path provided as a parameter, vitunes will scan that file or direc- tory (recursively) searching for media files that contain any meta-infor- mation. Any such files found are added to the database that was created after running the init e-command. If any files scanned are already in the database they will be re-scanned and any changes will be updated. Files that are scanned are not moved, copied, or modified in any way. The information vitunes stores for each file includes: Filename Track Number Artist Name Year Album Name Genre Song or Video title Play Length in seconds The filename stored is the absolute pathname obtained from realpath(3) and serves as the key-field within the database. All meta-data is extracted using TagLib(3). If any file encountered has no meta-information, it is not added to the database. EXAMPLES To add a single file to the database: $ vitunes -e add /path/to/music.mp3 To search directories recursively and add all files contained: $ vitunes -e add ~/music /usr/local/share/music SEE ALSO vitunes(1), vitunes-init(1), realpath(3), TagLib(3) More information about TagLib can be found on the TagLib website: http://developer.kde.org/~wheeler/taglib.html NOTES vitunes only maintains information about the file and not the file itself. It does not move/copy/modify the files in its database in any way. AUTHORS Ryan Flannery<EMAIL_ADDRESS>BSD January 17, 2015 BSD


Information according to § 5 TMG:
cater green GmbH
Grüne Straße 1
23456 Hamburg
Germany
Contact:
+49 (0)1234 567890
<EMAIL_ADDRESS>https://catergreen.github.io/
Registry court: Hamburg
Commercial register number: HRB 123456
Chief executive officer: Luke
Sales tax identification number according to § 27a UStG: DE123456789
Your privacy is important to us. It is cater green's policy to respect your privacy regarding any information we may collect from you across our website, https://catergreen.github.io/, and other sites we own and operate.
We only ask for personal information when we truly need it to provide a service to you. We collect it by fair and lawful means, with your knowledge and consent. We also let you know why we’re collecting it and how it will be used.
We only retain collected information for as long as necessary to provide you with your requested service. What data we store, we’ll protect within commercially acceptable means to prevent loss and theft, as well as unauthorized access, disclosure, copying, use or modification.
We don’t share any personally identifying information publicly or with third-parties, except when required to by law.
Our website may link to external sites that are not operated by us. Please be aware that we have no control over the content and practices of these sites, and cannot accept responsibility or liability for their respective privacy policies.
You are free to refuse our request for your personal information, with the understanding that we may be unable to provide you with some of your desired services.
Your continued use of our website will be regarded as acceptance of our practices around privacy and personal information. If you have any questions about how we handle user data and personal information, feel free to contact us.
This policy is effective as of 25 September 2020.
Photo used as first image in the carousel by Louis Hansel @shotsoflouis on Unsplash
Photo used as second image in the carousel by Danielle MacInnes on Unsplash
Photo used as third image in the carousel by Brooke Lark on Unsplash
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Icons in the contact section made by Pixel perfect from www.flaticon.com
Each person portrayed in the team section is the copyright holder of the respective photograph.


Example (partial2) showMessage (Using Messages) for partialLite
This content will be overridden with content of _partial.html
(please host examples on web server not file://)
Say
Hi From Button (via CustomEvent)
Hi Got it (via instance Method)


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
There are many variations of passages of Lorem Ipsum available.
One disadvantage of Lorum Ipsum is that in Latin certain letters appear more frequently.
There is now an abundance of readable dummy texts. These are usually used when a text is required purely to fill a space.
According to most sources, Lorum Ipsum can be traced back to a text composed by Cicero in 45 BC.
It seems that only fragments of the original text remain in the Lorem Ipsum texts used today.
The spread of computers and layout programmes thus made dummy text better known.
Duis aute irure dolor in reprehenderit in voluptate
Lorem ipsum dolor sit amet, consectetuer elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet.
Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet.
Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet.
Lorem ipsum dolor sit amet, consectetuer elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
Hazel Larson, New Yourk
This phrase originally appeared as a typing drill, and dates all the way back to 1889. If you’re looking for a short phrase to use as you work on typography and layout, this one has vintage appeal.
Dustin Hart, CA
This phrase originally appeared as a typing drill, and dates all the way back to 1889. If you’re looking for a short phrase to use as you work on typography and layout, this one has vintage appeal.
Melba Stokes, Denmark
This phrase originally appeared as a typing drill, and dates all the way back to 1889. If you’re looking for a short phrase to use as you work on typography and layout, this one has vintage appeal.
Orlando Peters, Florida
This phrase originally appeared as a typing drill, and dates all the way back to 1889. If you’re looking for a short phrase to use as you work on typography and layout, this one has vintage appeal.


Lazy evaluation is traditionally simulated in
Scheme using delay
and force
.  Indeed, it is folklore in the Scheme
community that typical iterative lazy algorithms written using
delay
and force
will often require unbounded
memory.
Although varous modifications of
delay
and force
had been proposed to resolve
this problem (see e.g., the SRFI-40 discussion list) they all fail some
of the benchmarks provided below. To our knowledge, the current SRFI
provides the first exhaustive solution to this problem.
As motivation, we first explain how the usual
laziness encoding using only delay
and force
will break the iterative behavior of typical algorithms that would have
been properly tail-recursive in a true lazy language, causing the
computation to require unbounded memory.
The problem is then resolved by introducing a set of three operations:
{which allow the programmer to succinctly express lazy algorithms while retaining bounded space behavior in cases that are properly tail-recursive. A general recipe for using these primitives is provided. An additional procedurelazy
,delay
,force
}
{eager}
is provided for the
construction of eager promises in cases where efficiency is a concern.Although this SRFI redefines delay
and force
, the extension is conservative in the sense that
the semantics of the subset {delay
, force
} in
isolation (i.e., as long as the program does not use lazy
)
agrees with that in R5RS. In other words, no program that uses the R5RS
definitions of delay and force will break if those definition are
replaced by the SRFI-45 definitions of delay and force.


You have successfully removed entries in the student table, employers table, and have deleted all resumes.


Responsive Design vs. Mobile-First
December 31, 2013 · 3 minute read · CommentsI have heard some people speak of “mobile-first” and “responsive design” interchangeably making them sound as if they were one and the same. However I think there are some subtle differences. I believe responsive design is the broadest possible definition. It says to me that we are going to target all platforms, screen sizes, pixel densities, etc. It means that the user experience will be custom tailored to the exact device you just happen to be viewing it with. This should be our ulimate goal, right?
“Mobile-first” is a narrower definition and implies that the majority of the design effort is going to be geared towards the mobile experience. But there are a lot of other things it doesn’t clarify such as:
- Definition of “Mobile” - aren’t smartphones, tablets and laptops all mobile? Do we really mean “Smartphone-first”?
- “Mobile Only” vs “Mobile First” - what will the support level be on “non-mobile” devices?
The second point is interesting because the the first wave of responsive design was focused on taking websites designed for a large screen and simplifying and stripping them down so they would “fit” and work well on a phone.
If we now start with a “mobile-first” design how should we add to it to create the desktop experience? It seems easier to start with something a little more complex and then simplify it rather than start with something simple and try to add complexity to it. Said another way if you distilled your site to work great on a smartphone then what are you going to add back? That’s one of the tough aspects of responsive design.
When people first started using the term mobile-first I think some meant that instead of starting with a desktop design and then progressively degrading it to work on smaller and smaller screens we should start with a highly optimized mobile site and then progressively enhance it for larger screens. This model makes sense as long as we are actually thinking about, and designing for, all screen sizes.
Side note: One of the best aspects of mobile design is the performance tuning required to make a site run well on a smartphone because it pays speed dividends on every device, everywhere.
I believe in the mobile-first progressive enhancement approach but I’d still rather say we doing responsive design over mobile-first because to me it says we are going make our site work great everywhere, for everyone.


Dynamic Preview of Textarea with MathJax Content
Type text (mixed with MathML, TeX or asciimath) in the box below for a live preview.
Configured delimiters:
TeX, inline mode:
\(...\)
or
$...$
TeX, display mode:
\[...\]
or
$$...$$
Asciimath:
`...`
.
$$S=\sum^{100}_{i=1}i^2$$
Preview is shown here:


Pade SIP Gateway Changelog
1.0.1 -- October 6, 2020
1.0.0 -- August 31, 2020
0.9.9 -- April 23, 2020
- Upgraded to latest Jitsi code
0.9.7 -- December 31, 2019
- Upgraded to latest Jitsi code
0.9.5 Release 7 -- July 16, 2019
- Upgraded to latest Jitsi code
0.9.5 Release 5 -- April 5, 2019
- Upgraded to latest Jitsi code
0.9.5 Release 2 -- January 03, 2019
- Upgraded to latest jitsi-bridge, jicofo and jigasi versions.
0.9.5 -- November 14, 2018
- Initial release, based on code that was previously in Openfire Meetings.


Enter the length of the 1st side
Enter the length of the 2nd side
Enter the length of the 3rd side
Check
Call: +254 707557089
Email:janepatricia27@gmail.com


This song was composed and sung at Boise Idaho by Nancy B.
"theme song from Gilligan's Island..... modified slightly :)"
Just sit right back
and you'll hear a tale
a tale of a well planned trip
that started from Connecticut
aboard a not so tiny ship.
The mate was a mighty sailin man,
the skipper brave and sure
five passengers set sail that day (including the 2 dogs)
for a three year tour
a three year tour
The weather started getting rough,
the not so tiny ship was tossed
if not for the courage of the fearless crew,
the What If would be lost
the What If would be lost
The ship set dock on that day
to replenish the supplies....
With Dean the man
the skipper too
Who is also the wife.
Derek the son
with Oso, and Sam
So this is the tale of our runaways,
they're gone for a long, long time.
They'll have to make the best of things,
and manage every dime
and manage every dime
The first mate and his skipper too
will do their very best
to make the dogs comfortable
in their tiny nest
in their tiny nest
No phone, no TV, no microwave
not a single luxury
like Robinson Crusoe
it's a long way from Boise
it's a long way from Boise
So join us here right now my friends,
to give Dean a smile
from all us stranded land lovers
it's sure to be awhile
it's sure to be awhile
song for What If


Peda Ting Ting
Description
A popular stop on boat trips to Shuvalong Falls,
this shanty-looking restaurant, on a small low-lying island,
does good-quality indigenous food in an unmatched location.
Has an English menu. Expect a round trip from Reserve Bazar,
including eating time, to take at least two hours.
Restaurant features
Takeout, Reservations, Outdoor Seating, Seating.
Biryani House
Description
Pocket-sized locals’ favourite with no English menu but a manager who can talk you
through which curries and biryanis are on offer that day. Great fun, good value, and
also a good bet for dhal-and-roti breakfasts.
Restaurant features
Seating, Waitstaff, Takeout
Thai Mart
Description
Run by a young and friendly group of Chakma staff and cooks,
this relaxed restaurant with bamboo roofing does a mix of Chakma and Bengali dishes.
There's an English menu, but despite the name, Thai food doesn't appear on it.
Restaurant features
Reservations, Seating, Waitstaff
Cuisine
Barbecue, Asian


There is a possibility that quotes with a grey background will not be posted in concequence of its theme.
Find me on:


--- layout: default title: about me ---
My name is Bryan Bickford.
I write code.
Here is my pgp key ``` pgpkeyldskhflkdsjfoiewjfoi


Project gGnome.js
Data Validator
Validate
Great!
Your file is valid to use in the gGnome project.
Oops!
The file has validation errors.


Clarke Oduor yet to prove point to Leeds after summer exit
by Jordan HarrisOne of the most surprising pieces of business Leeds United signed off on during the summer was the decision to allow Clarke Oduor to leave Elland Road on a permanent basis.
Oduor was excellent for the under-23s last season. And it appeared that he was gearing up for an important campaign with the Whites as he was included in the squad that Marcelo Bielsa took to Australia in pre-season.
However, the 20-year-old would end the transfer window a Barnsley player. Bielsa shed some light on the 20-year-old’s exit as he suggested that he wanted Oduor to stay but gave him the option to move on as he was well aware of the competition on the left-hand side (via Yorkshire Evening Post).
Leeds fans may have been wary that the club would rue Oduor’s departure. However, he went into the international break still awaiting the chance to make his first-team debut for the Tykes.
Oduor yet to prove point
And it is surely fair to say that Oduor is yet to prove a point to his former club after featuring for Barnsley’s under-23s as they were beaten 2-0 by Leeds on Monday.
Of course, Oduor’s involvement in the game says little about his role in the squad. It is a good opportunity to give players minutes during the international break. Leeds had first-team stars such as Barry Douglas and Pablo Hernandez featuring.
But it seems to be a good chance to take early stock of how successful his move has been as he was playing against his former club.
Oduor has the potential to be a fantastic signing for Barnsley. But given that he is yet to make a first-team debut for a side sitting bottom of the Championship, he would perhaps be forgiven for giving some thought to whether he made a mistake leaving Leeds.
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Let us know


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About Me
If you're here, you're probably wanting to see what I can do...
I possess more than 3 years of progressive experience in the web development field. My professional history includes positions such as Customer Support for StoresOnline, Junior Developer at EKR Agency as well as a variety of independent work.
My personal hobbies include gaming, both online and tabletop, reading, and drawing. More specifically of these activities, I enjoy playing RPGS, I love fantasy and sci/fi, and I like to carry a sketchbook around to doodle and write ideas in as they come to me.
I first began experimenting with web development back in 2001. I was among the first classes in my school to take classes on web development and learning HTML. I have since been able to experiment and learn CSS and some Javascript and jQuery through personal projects and experiments, as well as a student at MATC.
Oh look, a list!
Areas of experience:
- CSS3
- Angular
- Javascript
- HTML5
- Jquery
- PHP
- WordPress


Can we tell an engaging story about Leeds with data?
Turn the footfall data into music.
What musical genre epitomizes Leeds?
Our aim was to write Python scripts that turned raw footfall data into music for brass band called "Rhythm of the City".
And so, oompah.py
was ironically checked
into Github.
Tuesday name | median | min histogram max| ---------------------------------------------------------------------------- 00:00 : 33.0 ms [ 1.0 ▃▅▆▇▆▇▆▃▄▃▃▂___ _ __ _ _ _ 382.0] 01:00 : 30.0 ms [ 4.0 ▃▆▇▇▇▅▄▆▃▂▃________ __ _____ ___ 397.0] 02:00 : 28.0 ms [ 5.0 ▃▇▇▆▇▅▅▅▄▃▂▂▂____ __ _ ____ _ 321.0] 03:00 : 23.0 ms [ 5.0 ▃▇▇▅▆▅▃▆▃▂▂_______ _ ____ __ 264.0] 04:00 : 12.0 ms [ 2.0 ▅▇▇▅▄▃▂▂______ __ _ ___ __ 180.0] 05:00 : 17.0 ms [ 1.0 ▄▄▆▄▅▇▅▃▃▂___ ____ __ __ __ 186.0] 06:00 : 64.0 ms [ 6.0 ▂▃▃▄▄▂▃▂▄▂▃▂_▃▄▅▇▇▅▄▅▇▅▄▂▂_▂___▂ 163.0] 07:00 : 205.0 ms [ 5.0 ▂___ ___▂▃_▂_▂_▃▄▅▇▆▅▇▄▇▃▄▃___ _ 405.0] 08:00 : 470.0 ms [ 12.0 _ __ ___▂_▂▂▂▂▃▅▄▄▇▅▄▆▇▄▅▄▂▂____ 745.0] 09:00 : 554.0 ms [ 14.0 _____▂_▂▂▆▅▄▅▄▆▇▇▇▆▇▄▄▃▂_____ _ 1096.0] 10:00 : 931.0 ms [ 24.0 __ _▂▂▂_▂▃▄▄▄▅▅▇▇▄▄▃▄▂____ ___ _ 1970.0] 11:00 : 1357.0 ms [ 0.0 _ _ _____▂▂▄▃▅▅▇▇▆▄▃▃▃______ 2478.0] 12:00 : 1823.0 ms [ 56.0 ___ _▂__▂▃_▂▄▆▆▇▅▄▃________ _ 5652.0] 13:00 : 1823.0 ms [ 54.0 _________▃▂▂▂▂▃▂▆▇▆▇▅▄▄▃▂▂▂_____ 3014.0] 14:00 : 1534.0 ms [ 63.0 ___▂▃▂▂▄▃▅▃▃▅▅▇▇▅▅▅▃▃▂▃▂▂___▂___ 2664.0] 15:00 : 1472.0 ms [ 76.0 _ ________▂▃▂▃▄▄▇▇▅▆▄▄▃▅___▂____ 2544.0] 16:00 : 1416.0 ms [ 67.0 ___ _▂__▃▂_▂▂▂▄▄▃▄▄▆▇▇▇▅▇▅▅▂▂▃▂_ 2317.0] 17:00 : 1140.0 ms [ 42.0 _______▂▂▂▂_▂▃▄▃▃▃▆▄▆▇▄▆▃▃▂___ _ 2081.0] 18:00 : 584.0 ms [ 22.0 __▃▃▃▂▂▃▃▂▅▃▄▃▅▇▇▇▇▅▆▆▄▄▃▂▂▂_ _ 1486.0] 19:00 : 291.0 ms [ 12.0 ▃▃▂▃▅▂▃_▂▂▃▅▄▅▇▇▆▅▅▂▅▃▃▂▂▂▂▂____ 788.0] 20:00 : 176.0 ms [ 2.0 ▄▄▅▃▃▃▃▃▂▄▃▅▄▅▇▆▄▇▅▄▄▅▆▅▃▃▂▂▂___ 497.0] 21:00 : 113.0 ms [ 2.0 ▄▆▇▅▂▆▄▂▄▃▅▆▆▆▄▆▃▅▃▅▆▆▂▅▅▂▂▂_▂ _ 442.0] 22:00 : 79.0 ms [ 6.0 ▇▅▆▇▅▅▇▃▅▃▅▅▆▄▆▃▆▅▃▅▃▃▄▇▂▃▂▃▂__▂ 344.0] 23:00 : 52.0 ms [ 2.0 ▇▆▇▄▃▅▅▃▃▄▅▄▆▄▄▄▅▂▆▃▅▃▃_▃▂_▂ ▂▂_ 345.0]
WEEK = {}
WEND = {}
for f in glob.glob('*.csv'):
voice = f.split('.')[0].lower().replace(' ', '_')
WEEK[voice] = defaultdict(list)
WEND[voice] = defaultdict(list)
with open(f) as fp:
for row in csv.DictReader(fp):
t = row['Hour']
d = row['WeekDay']
if d.lower() in ('saturday', 'sunday'):
data = WEND
else:
data = WEEK
data[voice][t].append(int(row['Count']))
def pitch(data, scale):
"""Generate notes from the scale driven by the data."""
index = 0
for d in data:
index = (index + d) % len(scale)
yield scale[index]
def rhythm(data, mn, mx):
"""Produce note durations from provided patterns,
based on mean intensity
"""
i = threshold(data)
pattern = patterns[i]
# use the data to chose which pattern,
# so the process is deterministic
index = 0
for d in data:
index = (index + d) % len(pattern)
for duration in pattern[index]:
yield duration
yield None # indicates a bar has been produced
def voice(data, scale, mn, mx, length=8):
"""Generate a voice from the data, combining pitch and rhythm"""
bars = 0
note_iter = pitch(data, scale)
for duration in rhythm(data, mn, mx):
if duration is None:
bars += 1
yield '|'
if bars == length:
raise StopIteration()
elif duration[0] == 'r':
yield duration
else:
note = next(note_iter)
if '%s' in duration:
# more complex templated duration (e.g. tuplets)
yield duration % note
else:
yield "%s%s" % (note, duration)
Enderby Brass Band, 2014


The first step is to download ListExtender.js and import it along with any javascript using ListExtender into your html file.
Make sure you import ListExtender.js before any code that uses it.
<script defer type='text/javascript' src='https://julienbl.me/ListExtender/lib/ListExtender.min.js'></script>
The next step is to create your ListExtender object.
const myList = new ListExtender()
Finally, append your list to some parent container in the DOM
myList.appendTo('#containerId')
And that's it! You now have a working extending list in your website!
From here you can customize the list however you see fit. A good place to start would be setting the placeholder and input type.
myList.setPlaceholder('Placeholder Text')
myList.setInputType('text')
new ListExtender(options)
The ListExtender constructor takes an optional parameter, which is an options object. The properties of the options parameter determine the behaviour of the list.
The options object uses the following properties:
| Property | Default Value | Description |
|---|---|---|
| isUnordered | true | Determines whether the list is unordered or not |
| allowReorder | true | Determines whether users can drag and drop list items |
| showDeleteButton | false | Determines whether the delete button shows on the list |
All properties are optional and if not included will be replaced with the default value.
| Name | Description |
|---|---|
| element | The ul/ol element displayed in the DOM |
| maxSize | The maximum number of entries in the list |
| listSize | The number of elements in the list |
| simpleLight | A light theme for list objects |
| simpleDark | A dark theme for list objects |
| cream | A light brown theme for list objects |
| hacker | A dark/lime theme for list objects |
| underwater | A blue theme for list objects |
| MLA | A simple double spaced theme for list objects |
| PuTTY | A shell theme for list objects |
| emoji | A simple theme with emoji pointers for list objects |
| Method Name | Params | Returns | Description |
|---|---|---|---|
| setInputType(type) | type: string Accepts following values: 'text' 'email' 'password' 'date' 'month' 'number' 'time' 'url' 'week' |
none | Sets the input type of list elements |
| setPlaceholder(placeholder) | placeholder: string | none | Sets the input field placeholder for list elements |
| setMinLength(minLength) | minLength: number | none | Sets the input field minimum length for list elements |
| setMaxLength(maxLength) | maxLength: number | none | Sets the input field maximum length for list elements |
| setId(id) | id: string | none | Sets the id of the list object |
| addClasses(classList) | classList: array[string] | none | Applies the given classes to the list object |
| removeClasses(classList) | classList: array[string] | none | Removes the given classes from the list object |
| addListItem() | none | none | Adds a new item to the list |
| addValidation(callback, errorMessage) | callback: function(value: string), errorMessage: string errorMessage is optional, callback function will be passed a string |
none | Adds a validation function to the list object. When validating, if function returns true validation will pass, else validation fails |
| addFromArray(data) | data: array[string] | none | Appends elements in data to the list |
| appendTo(query) | query: string A selector for querySelector |
none | Appends the list to the element matching query |
| addBefore(query) | query: string A selector for querySelector |
none | Places the list before the element matching query |
| addAfter(query) | query: string A selector for querySelector |
none | Places the list after the element matching query |
| getData() | none | array[string] | Returns all validated entries in the list |
| getAllData() | none | array[string] | Returns all entries in the list |
| setTheme(theme) | theme: object A theme object (see variables above) |
none | Sets the theme of the list to the given theme object |


Types and Casts
The following matchers can be used to assert types. References of type Any
need to be cast before typed matchers can be used. instanceOf(and:)
can be used to combine type verification and casting.
The following matchers can be used to assert types. References of type Any
need to be cast before typed matchers can be used. instanceOf(and:)
can be used to combine type verification and casting.


Cold snap kicks off stranding season for sea turtles
EASTHAM, Mass. (AP) - Several sea turtles have washed ashore along Cape Cod Bay since frigid temperatures hit the area.
The Massachusetts Audubon Society’s Wellfleet Bay Wildlife Sanctuary says 18 sea turtles have washed ashore, mostly in Eastham, and hundreds more cold-stunned turtles are expected to wash ashore in the next six weeks.
The New England Aquarium said in a statement that stranding season doesn’t occur anywhere else in the world on this scale. It happens when cold snaps immobilize turtles and strong winds strands them ashore due to the Cape’s hook-like shape.
TOP STORIES
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Volunteers from the Wellfleet sanctuary have been collecting the turtles, logging them and treating medical conditions.
The Cape Cod Times reports that before 2011 the yearly average was 90 turtles, but in recent years it has been more than 300.
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Please read our comment policy before commenting.


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{% extends 'base.html' %} {% load staticfiles %} {% block content %}
Title : JO5454
Discount Amount: 60.0 tk
Percentage: 15.0 %
Duration: 07/03/2018 - 28/03/2018
Status: Active
Title : JO1494
Discount Amount: 57.0 tk
Percentage: 12.3 %
Duration: 08/01/2018 - 22/01/2018
Status: Done
Title : JO5154
Discount Amount: 60.0 tk
Percentage: 15.0 %
Duration: 07/03/2018 - 28/03/2018
Status: Active
Title : JO1004
Discount Amount: 57.0 tk
Percentage: 12.3 %
Duration: 08/01/2018 - 22/01/2018
Status: Done


Our Instruments
"If you can't explain it simply, you don't understand it well enough." - Albert Einstein
How It Works - Scanning Tunneling Microscopy
The scanner of an STM consists of an atomically sharp metal tip and is housed in a piezoelectric tube. The tip is manipulated by applying a voltage to the tube to scan in the X-, Y-, and Z-direction. An STM operates on the principle of quantum tunneling. By applying a voltage bias to the sample when the tip is sufficiently close electrons are able to jump (tunnel) from the sample to the tip (or vice versa). The resulting tunneling current is amplified and displayed in the form of an image as the tip scans over the sample. The STM is sensitive to both the topography of the sample and the local density of states (LDOS). The equations below are adapted from the Hoffman Lab at Harvard.
Applying a negative sample bias (-V) the total tunneling current from the sample to the tip is given by:
The elastic tunneling current from sample to tip is given by:
Variable-Temperature Ultrahigh Vacuum Scanning Tunnneling Microscope
Our homebuilt variable-temperature ultrahigh vacuum scanning tunneling microscope (VT-UHV STM) is comprised of an STM chamber, preparation chamber, load-lock transfer system, and physical/vapor deposition chamber. The STM chamber, obtained from Kurt J. Lesker, houses the scanner which is mounted in a commerically 3D printed silver mount (Shapeways, Inc.). The silver mount is cooled to sub-liquid nitrogen temperatures by a two stage cryocooler with vibrational isolation (Advanced Research Systems, Inc.).
The preparation chamber is equipped with a 2 kV ion gun (RBD Instruments) for Argon sputtering, as well as a HALO 201 RC mass spectrometer (Hiden Analytical) for residual gas analysis (RGA), temperature programmed desorption (TPD) experiments, and monitoring applications such as leak detection. Samples are secured in a custom machined molybdenum mount and heated using a coiled thoriated tungsten wire (Goodfellow).
The load-lock transfer system utilizes a manipulating tool afixed to a rotary-linear magnetic transfer arm with a 48-in stroke (McAllister Technical Services) to move samples between the chambers. Multiple samples are able to be transfered in/out of vacuum by a 3D printed bronze shuttle afixed to a linear magnetic transfer arm with a 24-in stroke. The load-lock system is specifically designed so that samples can be changed without breaking vacuum, and was inspired by the design of S. Alex Kandel at the University of Notre Dame.
Ambient Scanning Tunneling Microscope
This STM utilizes the inertial approach process known as the "slip-stick" process and operates under ambient conditions. The rigid design construction allows for atomic resolution with no external vibrational isolation and was inspired by the design of S. Alex Kandel at the University of Notre Dame. The tip assembly is housed in a custom machined block of Invar-36 (Ed Fagan Inc.). A platinum-iridium (Pt/Ir) wire serves as the tip, and is press-fit into a stainless steel capillary tube (McMaster-Carr). The capillary tube rests atop four tungsten carbide balls which are press-fit into a custom 3D printed silver tip carrier.


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PPP refuses to join Maulana's 'Plan B'
by Hafeez TunioThe Pakistan People’s Party on Thursday distanced itself from Maulana Fazlur Rehman’s ‘Plan B’, stating that the party will not participate in blocking roads and highways.
Soon after the Jamiat Ulema-e-Islam-Fazl (JUI-F) chief called off his sit-in in Islamabad, Fazl said that the protest movement set off by the ‘Azadi March’ would spread to every corner of the country, blocking “major arteries and highways – and even bylanes and streets”.
“From day one our policy is clear. We will not become a party of dharna politics. We supported the Azadi March, but can’t come on the roads at this moment,” a senior PPP leader said, adding that the party’s chairman Bilawal Bhutto Zardari has convened a party meeting to further discuss the issue.
PPP Sindh General Secretary Waqar Mehdi told The Express Tribune that no one from his party would join the sit-ins on main roads and highways. “We only extend our support to a peaceful struggle. The blockage of roads is not on our agenda,” he added.
Maulana Fazlur Rehman abruptly called off his sit-in where thousands of his followers and activists of allied parties had been camping since November 1, calling for Prime Minister Imran Khan to step aside and call fresh elections.
“We’ve decided that we would not stage sit-ins in cities as this would affect the lives of fellow citizens. We’ve decided that we would stage sit-ins on main roads and highways outside the main cities,” the cleric said.


--- layout: post current: post cover: assets/images/tags.jpg navigation: True title: Reports date: 2017-07-27 08:00:00 tags: [Getting started] class: post-template subclass: 'post tag-getting-started' author: ghost categories: ghost ---
You can see the reports which are related to Open-source class in my github.
Please come in and see how I proceeded this class.
https://github.com/yangmigyeong/yangmigyeong.github.io/