Our business combines local and global perspectives to bring new ideas to business and public-sector organisations.
A blockchain, originally block chain, is a growing list of records, called blocks, which are linked using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data, generally represented as a merkle tree root hash. By design, a blockchain is resistant to modification of the data. It is "an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way". For use as a distributed ledger, a blockchain is typically managed by a peer-to-peer network collectively adhering to a protocol for inter-node communication and validating new blocks.
Autonomous things, abbreviated AuT, or the Internet of autonomous things, abbreviated as IoAT, is an emerging term for the technological developments that are expected to bring computers into the physical environment as autonomous entities without human direction, freely moving and interacting with humans and other objects.
The emergence of autonomous things over the last few years, I believe, has been an exciting development within technology that is only going to become more innovative and more and more exciting as time goes on.Immersive experiences are a specialist time with a diversified makeup from the fields of technology, design, psychology, marketing, and enterprise. Immersive experiences have a growing reputation as an innovative and progressive partner for brands seeking new business opportunities within today’s context.


Family Friendly Events
August
- 1st:
Annual Cookie Day! Buy two packs and get a free cookie cutter!
- 5th:
Listen to smooth jazz when All About Cats plays at 3pm.
- 15th:
Free doggie friendly treats!
Monday - Sunday: 6am - 7pm
Cupcake ipsum dolor sit amet. Fruitcake cake gummi bears brownie apple pie jelly gummi bears. Cookie bear claw donut pie tootsie roll lemon drops muffin cookie.
Cupcake ipsum dolor sit amet. Fruitcake cake gummi bears brownie apple pie jelly gummi bears. Cookie bear claw donut pie tootsie roll lemon drops muffin cookie.
We'd love to hear from you!
Phone:<PHONE_NUMBER>
Annual Cookie Day! Buy two packs and get a free cookie cutter!
Listen to smooth jazz when All About Cats plays at 3pm.
Free doggie friendly treats!
Products available in stores!
Salmon Cookies 12-pack $15
Salmon Cookie Cutter $6
Salmon Tee $25, size Small-XXL


mockingbird
`Prev `__
M
`Next `__
--------------
**mockingbird**: n.
Software that intercepts communications (especially login transactions)
between users and hosts and provides system-like responses to the users
while saving their responses (especially account IDs and passwords). A
special case of `*Trojan horse* <../T/Trojan-horse.html>`__.
--------------
+-------------------------+----------------------------+------------------------+
| `Prev `__ | `Up <../M.html>`__ | `Next `__ |
+-------------------------+----------------------------+------------------------+
| moby | `Home <../index.html>`__ | mod |
+-------------------------+----------------------------+------------------------+


Bishi Bashi Special-Two Players
New Game
Mute/Unmute
Instructions
Player A
00.0s
Player B
00.0s
Current score: 0
Current score: 0
×
Instructions for Bishi Bashi Special


singleton_pool.hpp provides a template class singleton_pool, which provides access to a pool as a singleton object. For information on other pool-based interfaces, see the other pool interfaces.
template <typename Tag, unsigned RequestedSize, typename UserAllocator = default_user_allocator_new_delete> struct singleton_pool { public: typedef Tag tag; typedef UserAllocator user_allocator; typedef typename pool<UserAllocator>::size_type size_type; typedef typename pool<UserAllocator>::difference_type difference_type; static const unsigned requested_size = RequestedSize; private: static pool<size_type> p; // exposition only! singleton_pool(); public: static bool is_from(void * ptr); static void * malloc(); static void * ordered_malloc(); static void * ordered_malloc(size_type n); static void free(void * ptr); static void ordered_free(void * ptr); static void free(void * ptr, std::size_t n); static void ordered_free(void * ptr, size_type n); static bool release_memory(); static bool purge_memory(); };
The underlying pool p referenced by the static functions in singleton_pool is actually declared in a way that it is:
Note that a different underlying pool p exists for each different set of template parameters, including implementation-specific ones.
The Tag template parameter allows different unbounded sets of singleton pools to exist. For example, the pool allocators use two tag classes to ensure that the two different allocator types never share the same underlying singleton pool.
Tag is never actually used by singleton_pool.
The requested size of memory chunks to allocate. This is passed as a constructor parameter to the underlying pool. Must be greater than 0.
Defines the method that the underlying pool will use to allocate memory from the system. See User Allocators for details.
| Symbol | Meaning |
|---|---|
| SingletonPool | singleton_pool<Tag, RequestedSize, UserAllocator> |
| chunk | value of type void * |
| n | value of type size_type |
| Expression | Type/Value |
|---|---|
| SingletonPool::tag | Tag |
| SingletonPool::user_allocator | UserAllocator |
| SingletonPool::size_type | pool<UserAllocator>::size_type |
| SingletonPool::difference_type | pool<UserAllocator>::difference_type |
| SingletonPool::requested_size | RequestedSize |
| Expression | Return Type | Semantic Equivalent |
|---|---|---|
| SingletonPool::is_from(chunk) | bool | SingletonPool::p.is_from(chunk); synchronized |
| SingletonPool::malloc() | void * | SingletonPool::p.malloc(); synchronized |
| SingletonPool::ordered_malloc(n) | void * | SingletonPool::p.ordered_malloc(n); synchronized |
| SingletonPool::free(chunk) | void | SingletonPool::p.free(chunk); synchronized |
| SingletonPool::ordered_free(chunk) | void | SingletonPool::p.ordered_free(chunk); synchronized |
| SingletonPool::free(chunk, n) | void | SingletonPool::p.free(chunk, n); synchronized |
| SingletonPool::ordered_free(chunk, n) | void | SingletonPool::p.ordered_free(chunk, n); synchronized |
| SingletonPool::release_memory() | bool | SingletonPool::p.release_memory(); synchronized |
| SingletonPool::purge_memory() | bool | SingletonPool::p.purge_memory(); synchronized |
For more information on the semantics of these functions, see the pool interface.
Revised 05 December, 2006
Copyright © 2000, 2001 Stephen Cleary (scleary AT jerviswebb DOT com)
Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)


DOCUMENT(collection, id) → doc
Return the document which is uniquely identified by its id. ArangoDB will try to find the document using the _id value of the document in the specified collection.
If there is a mismatch between the collection passed and the collection specified in id, then null will be returned. Additionally, if the collection matches the collection value specified in id but the document cannot be found, null will be returned.
This function also allows id to be an array of ids. In this case, the function will return an array of all documents that could be found.
It is also possible to specify a document key instead of an id, or an array of keys to return all documents that can be found.
DOCUMENT( users, "users/john" )
DOCUMENT( users, "john" )
DOCUMENT( users, [ "users/john", "users/amy" ] )
DOCUMENT( users, [ "john", "amy" ] )
DOCUMENT(id) → doc
The function can also be used with a single parameter id as follows:
DOCUMENT("users/john")
DOCUMENT( [ "users/john", "users/amy" ] )
Please also consider to use DOCUMENT
in conjunction with
WITH


Groups
问题描述 :
After the regional contest, all the ACMers are walking alone a very long avenue to the dining hall in groups. Groups can vary in size for kinds of reasons, which means, several players could walk together, forming a group.
As the leader of the volunteers, you want to know where each player is. So you call every player on the road, and get the reply like “Well, there are Ai players in front of our group, as well as Bi players are following us.” from the ith player.
You may assume that only N players walk in their way, and you get N information, one from each player.
When you collected all the information, you found that you’re provided with wrong information. You would like to figure out, in the best situation, the number of people who provide correct information. By saying “the best situation” we mean as many people as possible are providing correct information.
As the leader of the volunteers, you want to know where each player is. So you call every player on the road, and get the reply like “Well, there are Ai players in front of our group, as well as Bi players are following us.” from the ith player.
You may assume that only N players walk in their way, and you get N information, one from each player.
When you collected all the information, you found that you’re provided with wrong information. You would like to figure out, in the best situation, the number of people who provide correct information. By saying “the best situation” we mean as many people as possible are providing correct information.
输入:
There’re several test cases.
In each test case, the first line contains a single integer N (1 <= N <= 500) denoting the number of players along the avenue. The following N lines specify the players. Each of them contains two integers Ai and Bi (0 <= Ai,Bi < N) separated by single spaces.
Please process until EOF (End Of File).
In each test case, the first line contains a single integer N (1 <= N <= 500) denoting the number of players along the avenue. The following N lines specify the players. Each of them contains two integers Ai and Bi (0 <= Ai,Bi < N) separated by single spaces.
Please process until EOF (End Of File).
输出:
There’re several test cases.
In each test case, the first line contains a single integer N (1 <= N <= 500) denoting the number of players along the avenue. The following N lines specify the players. Each of them contains two integers Ai and Bi (0 <= Ai,Bi < N) separated by single spaces.
Please process until EOF (End Of File).
In each test case, the first line contains a single integer N (1 <= N <= 500) denoting the number of players along the avenue. The following N lines specify the players. Each of them contains two integers Ai and Bi (0 <= Ai,Bi < N) separated by single spaces.
Please process until EOF (End Of File).
样例输入:
3 2 0 0 2 2 2 3 2 0 0 2 2 2
样例输出:
2 2HintThe third player must be making a mistake, since only 3 plays exist.
/*
分析：
dp，转化为区间求解。
2013-07-29
*/
#include"iostream" #include"cstdio" #include"cstring" using namespace std; const int N=506; int n,dp[N],map[N][N]; inline int max(int a,int b){ return a>b?a:b; } int main() { int i,l; int a,b,ans; while(scanf("%d",&n)!=-1) { memset(map,0,sizeof(map)); for(i=0;i<n;i++) { scanf("%d%d",&a,&b); if(a+b>=n) continue; map[a+1][n-b]+=(n-a-b)>map[a+1][n-b]?1:0; } memset(dp,0,sizeof(dp)); for(i=1;i<=n;i++) for(l=1;l<=i;l++) dp[i]=max(dp[i],dp[l-1]+map[l][i]); cout<<dp[n]<<endl; } return 0; }
版权声明：本文为博主原创文章，未经博主允许不得转载。
参考：http://blog.csdn.net/ice_crazy/article/details/9617209
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意思是小说已看完。


I am a Full Stack Web / Multimedia Developer & E-Learning Application Programmer, experienced in different front end and backend end languages, responsive frameworks, databases, Web / Multimedia Design, E-Learning, Application Programming, Gamification, Software QA, Visual Effects and 3D Art, working as a contractor. My academic backgrounds are Master of Art in Visual Effects, Master of Science in Biomedical Engineering, bachelor of science in Physics, and associate degree in Machine Design. I have certificates in Web Design and application Programming, and studied Game programming for two semesters. I am currently studying Full Stack Web Development at GW Code Boot Camp. My interests include Web technologies, 3d graphics programming, Virtual and Augmented Reality, Simulation and Artificial Intelligence. I am always eager to learn new technologies and finding solutions. Download my resume here
Name: Henry Jean Logique
Location: Bethesda, MD USA
Phone:<PHONE_NUMBER>
Fairfax, Herndon, VA - USA
2016 to Present
Los Angeles, CA - USA
2014 to 2016
Culver City, CA - USA
2014
Los Angeles, CA - USA
2013 - 2014
Westlake Village, CA - USA
2008 - 2013
Los Angeles, CA - USA
2007 - 2008
Sterling, VA - USA
2003 - 2004
Germantown, MD - USA
2000 - 2003
Fairfax & Herndon VA - USA
1999 - 2000
Bethesda, MD - USA
1998 - 1999
Washington, DC - USA
2020 - 2021
Los Angeles, CA - USA
2015
Los Angeles, CA - USA
2011 - 2014
Savannah, GA - USA
2004 - 2006
Germantown and Rockville - USA
2000 - 2003
Washington, DC - USA
1995 - 1996
Berlin - Germany
1992 - 1994
Ankara - Turkey
1984 - 1989


You haven't earned enough good standing to create and oversee games. {{minimumPointsToGM}} points are required; you have {{currentPoints}}. Keep at it!


OpenWiFiMap is
- free software licensed under the MIT License.
- available at github. Please submit code, bug reports, feature requests or other ideas for improvements there!
- meant to support free networks (free as in free speech, not free beer) like freifunk.
- a HTML5 app that should run fine on mobile devices.
- is backed by CouchDB+GeoCouch and it can be easily run as a CouchApp on your own CouchDB server.
- written by:
with contributions from Andreas Pittrich and Daniel Pfisterer.
The WiFi icon was created by
Canopus49 and is licensed under
CC-BY-SA.
Donate with flattr:
Close


We're Here to Help
So we can promote your need for protective gear, tweet a selfie with ALL the following hashtags
#frontline
#yourpostcode
#yourneed
We'll Do Our Best
If you can't tweet Contact Us with the same format and hashtags
Doing Our Best
Problems Solved
Condensed feeds etc can go here


Alerts keep users informed of important and sometimes time-sensitive changes. Alerts also provide
provide contextual feedback messages for typical user actions.
Examples
Alerts are available for any length of text, as well as an optional dismiss button. For proper styling, use one of the eight
required contextual classes (e.g., .alert-success). For inline dismissal, use the alerts jQuery plugin.
Accessibility
- Use the ARIA role="alert" to inform assistive technologies of a time-sensitive
and important message that is not interactive. If the message is interactive,
use the alertdialog role instead.
- Do not visually hide alert messages on the page and then make them visible when
they are needed. Users of older assistive technologies may still be able
to perceive the alert messages even if they are not currently applicable.
Usability
When to use
- As a notification that keeps people informed of the status of the system and
which may or may not require the user to respond. This includes errors, warnings,
and general updates.
- As a validation message that alerts someone that they just did something that
needs to be corrected or as confirmation that a task was completed successfully.
When to consider something else
- On long forms, always include in-line validation in addition to any error messages
that appear at the top of the form.
- If an action will result in destroying a user’s work (for example, deleting an
application) use a more intrusive pattern, such as a confirmation modal dialogue,
to allow the user to confirm that this is what they want.
Guidance
- When the user is required to do something in response to an alert, let them know
what they need to do and make that task as easy as possible. Think about
how much context to provide with your message. For example, a notification
of a system change may require more contextual information than a validation
message. Write the message in concise, human readable language; avoid jargon
and computer code.
- Be polite in error messages — don’t place blame on the user.
- Users generally won’t read documentation but will read a message that helps them
resolve an error; include some educational material in your error message.
- But don’t overdo it — too many notifications will either overwhelm or annoy the
user and are likely to be ignored.
- Allow a user to dismiss a notification wherever appropriate.
- Don’t include notifications that aren’t related to the user’s current goal.


About Me
I am a 3rd-year EECS PhD student at UC Berkeley, working with Bin Yu and affiliated with BAIR. I am fortunate to be awarded UC Berkeley Chancellor Fellowship and EECS Excellence Award.
My research interests include natural language processing(NLP) and interpretability for deep learning models.
I graduated from National Taiwan University in 2020, where I studied electrical engineering and economics.
I had the pleasure to have worked with professors Lin-Shan Lee, Hung-Yi Lee and Yu-Chiang Frank Wang on research topics in NLP and computer vision.
When I am not coding, I enjoy reading, being an amateur film photographer, and mentoring younger students in the fields of STEM.
You can find my resume here.
Publications
* indicates equal contribution.
- Feng-Guang Su*, Aliyah R. Hsu*, Yi-Lin Tuan, Hung-Yi Lee. "Personalized Dialogue Response Generation Learned from Monologues". Proc. Interspeech 2019, 4160-4164, DOI: 10.21437/Interspeech.2019-1696. [link][code]
- Aliyah R. Hsu, Hung-Hua Chien, Chen-Yu Liao, et al. "Scan-Mode Atmospheric-Pressure Plasma Jet Processed Reduced Graphene Oxides for Quasi-Solid-State Gel-Electrolyte Supercapacitors". Coatings 2018, 8, 52. [link]
Recent Projects
Recent GitHub repositories that Aliyah has built.
{% if site.projects.sort_by == 'stars' %}
{% assign sort_order = 'stargazers_count', 'last' %}
{% else %}
{% assign sort_order = 'pushed_at' %}
{% endif %}
{% if site.projects.exclude.archived && site.projects.exclude.forks %}
{% assign filtered_repos = site.github.public_repositories | where:'archived', false | where:'fork', false | sort: sort_order | reverse %}
{% elsif site.projects.exclude.archived %}
{% assign filtered_repos = site.github.public_repositories | where:'archived', false | sort: sort_order | reverse %}
{% elsif site.projects.exclude.forks %}
{% assign filtered_repos = site.github.public_repositories | where:'fork', false | sort: sort_order | reverse %}
{% else %}
{% assign filtered_repos = site.github.public_repositories | sort: sort_order | reverse %}
{% endif %}
{% for repository in filtered_repos | limit: site.projects.limit %}
{% unless site.projects.exclude.projects contains repository.name %}
{% include repo-card.html %}
{% endunless %}
{% endfor %}


Howdy, everyone!. Please, check out our prezis from a variety of events we speak at. If you have any questions or would like us to speak about advocacy, data visualization, open data, open government, and information management (or relevant topics), please give us a shout at<EMAIL_ADDRESS>or +995 032 214 29 26
| Name | Author | Date | Language |
|---|---|---|---|
| 4M Conference | Eric Barrett | 11/15/2013 | English |
| Open Data | Eric Barrett | 01/28/2014 | English |
| Design for Effective Communication | Mariam Kobuladze | 01/28/2014 | Georgian |
| Transformation From Data to Visualization | Irakli Chumburidze | 01/28/2014 | Georgian |
| Visualizing for Data-driven Advocacy | Cristina Maza | 01/28/2014 | English |


Conference Venue
The conference will be held in the Heinz Nixdorf Institute next to the world’s largest computer museum: the Heinz Nixdorf MuseumsForum. In the Heinz Nixdorf Institute the conference will be held in room F0.530 on the main floor and in room F1.110 on the first floor.
Address:
Heinz Nixdorf Institute,
University of Paderborn,
Fürstenallee 11,
33102 Paderborn,
Germany
Please, check our map for the conference building, lunch and reception as follows.
Region of Eastern Westphalia (Ostwestfalen-Lippe)
SSBSE 2017 will take place in Paderborn, Germany. Paderborn is a city in eastern North Rhine-Westphalia, Germany. The city combines over 1,200 years of history with high-tech research and industry. Paderborn was once the oldest academic site in Westphalia. The Paderborn University was founded in 1614 by the Jesuits, but was closed in 1819. It was re-founded in 1972. Today, it is attended by about 20,000 students. Paderborn will offer you a fascinating mixture worth seeing.
The region is situated at the heart of Germany and Europe. There are fast road links in all directions, with the A2, A30 and A44 highways running east to west and the A7 and A1 offering connections to the north and south. With an intercity rail station in Bielefeld and an airport in Paderborn, OWL is also well-connected to local public transport.
There are magnificent natural areas to discover and enjoy in the Teutoburg Forest, Wiehen and Egge hills, on the Senne, and along the Weser, Ems, Pader, and Lippe rivers. There are excellent trails catering to recreational hikers and cyclists, and a great many interesting places to visit, including historic old towns, the Hermann Monument and the Externsteine rock formation.
Sandstone Rock Formation Externsteine Located in the Teutoburg Forest, Picture Credits: CC-BY-SA-3.0, From Wikimedia Commons by User:Tuxyso
City of Paderborn
Situated at the heart of Germany, midway between the Northern Lowlands and the mountainous central region, the charming city of Paderborn is full of many diverse and delightful attractions. The city has numerous qualities to tempt the visitor. With over 1,200 years of history to its credit, it is steeped in historical tradition, which has shaped the cityscape. The many parks and green spaces beginning right by the shopping precinct at Pader Springs are much appreciated by city-dwellers and visitors alike. Despite the recent modernization and expansion of the city, it remains a user-friendly place that can be easily navigated. In comparison with other cities, inhabitants have only a short distance to travel from home to work. Paderborn’s appeal thus lies in the combination of many different qualities. Ancient and modern, sacred and spiritual, economic and political are all combined, each contributing to the city’s distinctive character.
Historical Townhall of Paderborn, Picture Credits: Holger Fischer s-lab – Software Quality Lab
More information: Paderborn Cityportal
Museums
12 museums are located within Paderborn. The museum at the imperial palace is where the original foundations of both the palace complex of Charlemagne in the 8th century and the masonry Palatinate Henry II in the High Middle Ages were issued.
Another popular museum is the Archbishop’s Diocesan Museum and the Cathedral Treasury, both containing an extensive collection of religious art from the 10th to the 20th century. Overall, the collection includes about 8000 exhibits.
The Heinz Nixdorf MuseumsForum is the world’s largest computer museum, as well as a vibrant venue. The 5,000-year history, present and future of information technology is depicted over 6,000 m² of floor space, from the origins of numbers and characters in 3,000 B.C. all the way to the computer age of the 21st century. The 2,000-plus objects on show are presented within the broad context of social and economic history, making the exhibition appealing to laymen and computer experts alike. More information: Heinz Nixdorf MuseumsForum
Heinz Nixdorf MuseumsForum, Picture Credits: Jan Braun
Structures
In addition to cities such as Aachen amd Münster, Paderborn is among the most important historic towns in North Rhine-Westphalia. Overall, the most important monuments of Paderborn date back to the 10th and 13th centuries, as well as to the Baroque in 17/18. century.
The Paderborn Cathedral is the symbol of the city and it dates back to the 13th century. The cathedral impresses with its imposing size (the west tower has a height of 93 meters on the crypt with 32 meters length, being one of the largest in Germany) as well as with a fascinating architecture.
Paderborn Cathedral, Picture Credits: CC-BY-SA-3.0, From Wikimedia Commons by User:Efgeka
The Bartholomew Chapel in Paderborn was built around 1017 and is considered the oldest known church hall north of the Alps.
Bartholomaeuskapelle, Picture Credits: CC0 1.0,, From Wikimedia Commons by User:Athde
In Schloß Neuhaus, about 4 km from the city centre, there is the former residence of the Paderborn prince bishops. The water castle from the early Weser Renaissance era with its lovely Baroque garden are also worth visiting.
Schloß Neuhaus, Picture Credits: CC-BY-SA-3.0, From Wikimedia Commons by User:Rufus46
Tourism
Theater
The Westfälische Kammerspiele Paderborn inspires with a varied program. Not only the performances, but also the building in the heart of Paderborn is worth seeing. Program (in German).
Westfälische Kammerspiele Paderborn, Picture Credits: CC BY-SA 4.0, From Wikimedia Commons by User:Grand Tour


CANAL - Interface CANAL hardware drivers (dl/dll).
tcp/ip - Connect to a VSCP daemon or other device that export the the VSCP tcp/ip interface.
websocket - Connect to VSCP daemon or other device that export the websocket interface.
rest - Connect to a VSCP daemon or other device that export the VSCP rest interface.


The James Comey miniseries has cast Kingsley Ben-Adir to play former president Barack Obama, a spokesperson for CBS Studios confirmed to TheWrap.
The series also set Brian d’Arcy James (“Spotlight”) to play former FBI Deputy Director Mark Giuliano; Steve Zissis (“Togetherness”) will to play former FBI General Counsel Jim Baker, and Shawn Doyle (“House of Cards”) will play the assistant director of the FBI Counterintelligence Division Bill Priestap.
Ben-Adir’s previous roles include series like “Peaky Blinders” and “The OA,” as well as in the Disney+ film “Noelle” with Anna Kendrick. He will next be seen in alongside Zoe Kravitz in “High Fidelity.”
Also Read:
Jeff Daniels will play former FBI director James Comedy in CBS Studios’ upcoming miniseries based on his memoir, “A Higher Loyalty.” Other previously announced cast include Brendan Gleeson asDonald Trump, Holly Hunter asActing Attorney General Sally Yates, Michael Kelly as Acting FBI Director Andrew McCabe, Jennifer Ehle as Patrice Comey, Peter Coyote as Robert Mueller, Steven Pasquale as Peter Strzok, and Oona Chaplin as Lisa Page.
The book, which was released in April 2018 by Flatiron Books, gets its title from president Donald Trump’s alleged desire for Comey to give him a loyalty pledge. Comey was first appointed FBI director by former president Barack Obama in 2013, and was fired by Trump less than a year into his presidency.
The project is written by “Richard Jewell” and “Captain Phillips” writer Billy Ray, and comes from Alex Kurtzman’s Secret Hideout and Shane Selerno’s The Story Factory. Filming begins in November on the four-part series, and could air on either CBS All Access or Showtime.
2019 Holiday TV Specials: 28 Programs Sure to Make Your Days Merry and Bright (Photos) There’s something for everyone (naughty and nice) on this list — and yes, we checked it twice View In Gallery


3.1 #Elements - Blockquotes Blockquotes
The blockquote element is a mechanism for marking up a block of text quoted from a person or another document or source.
Design is not just what it looks like and feels like. Design is how it works.

Design is not just what it looks like and feels like. Design is how it works.

Steve Jobs

3.3 #Elements - Forms Forms
Common form elements that allows users to enter data.

<fieldset>
<legend>Checkboxes</legend>

<input id="option1" type="checkbox" class="checkbox" name="option" value="option1" />
Option 1

<input id="option2" type="checkbox" class="checkbox" name="option" value="option2" />
Option 2

<input id="option3" type="checkbox" class="checkbox" name="option" value="option3" />
Option 3

</fieldset>

Input Label
<input id="text-name" type="text" placeholder="Placeholder..." />

Email Label
<input id="email-name" type="email"<EMAIL_ADDRESS>autocapitalize="off" />

Password Label
<input id="password-name" type="password" placeholder="Password" autocapitalize="off" />

Telephone Label
<input id="phone-name" type="tel" placeholder="(###) ###-####" />

File Label
<input id="file-name" type="file" />

<fieldset>
<legend>Select an option:</legend>

<input id="single-option1" type="radio" class="radio" name="options" />
Option 1

<input id="single-option2" type="radio" class="radio" name="options" />
Option 2

</fieldset>

Select an option:
<select id="select-choice" name="select-choice">
<option value="Choice 1">Choice 1</option>
<option value="Choice 2">Choice 2</option>
<option value="Choice 3">Choice 3</option>
</select>

Textarea:
<textarea id="textarea-name"></textarea>

3.4 #Elements - Headings Headings
Hierarchical titles
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6

Heading 1

Heading 2

Heading 3

Heading 4

Heading 5

Heading 6

3.5 #Elements - Images Images
Display a photograph/graphic in the content. You can optionally configure image sources for multi-device support.

3.6 #Elements - Line Rules Line Rules
The hr element creates in the document a highly visible break that renders as a slim horizontal line running the width of the area to which it’s applied.

3.7 #Elements - Links Links
The a element is usually referred to as a link.
Text link
3.8 #Elements - Lists Lists
Element that groups related content together. They're part of everyday life and come in multiple formats.
3.8.1 #Elements - Lists - Definition Lists Definition Lists
If you want to list a series of items that essentially have a title and a description of some kind (that is, each item has two parts), use the definition list dl element.
- Definition List
- A number of connected items or names written or printed consecutively, typically one below the other.
- This is a term.
- This is the definition of that term, which both live in a dl.
- Here is another term.
- And it gets a definition too, which is this line.
- Here is term that shares a definition with the term below.
- And it gets a definition too, which is this line.

Definition List

A number of connected items or names written or printed consecutively, typically one below the other.

This is a term.

This is the definition of that term, which both live in a dl.

Here is another term.

And it gets a definition too, which is this line.

Here is term that shares a definition with the term below.

And it gets a definition too, which is this line.

3.8.2 #Elements - Lists - Ordered Lists Ordered Lists
The ol element is similar to the ul element in that it’s used to group a collection of items together in a list.
- Lorem ipsum dolor sit amet
- Consectetur adipiscing elit
- Integer molestie lorem at massa

Lorem ipsum dolor sit amet

Consectetur adipiscing elit

Integer molestie lorem at massa

3.8.3 #Elements - Lists - Unordered Lists Unordered Lists
The ul element, the name for which is an abbreviation of unordered list, is used to group a collection of items together in a list, but in a way that doesn’t suggest an order of precedence or importance.
- Lorem ipsum dolor sit amet
- Consectetur adipiscing elit
- Integer molestie lorem at massa

Lorem ipsum dolor sit amet

Consectetur adipiscing elit

Integer molestie lorem at massa

3.9 #Elements - Paragraphs Paragraphs
The p element is one of the most commonly used building blocks of HTML.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam egestas odio tortor, sed vehicula nunc lobortis rutrum. Cras ultrices luctus purus non malesuada. Morbi accumsan, justo ut venenatis aliquet, risus elit sollicitudin tellus, eu vestibulum velit odio a justo.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam egestas odio tortor, sed vehicula nunc lobortis rutrum. Cras ultrices luctus purus non malesuada. Morbi accumsan, justo ut venenatis aliquet, risus elit sollicitudin tellus, eu vestibulum velit odio a justo.

3.10 #Elements - Tables Tables
A majority of buttons in the site are built from the same base class.
| Name | Age | Birthday |
|---|---|---|
| Jackie | 5 | April 5 |
| Beth | 8 | January 14 |

Shelly's Daughters

Name
Age
Birthday

Jackie
5
April 5

Beth
8
January 14

3.11 #Elements - Videos Videos
Displays a video from an external source, such as YouTube or Vimeo, without forcing the user to leave the current web page.


Due to the way CSS Flex box works, we must keep the asides and the headers and footer outside of the same element
Yes there are work arounds, However, we are not going to make you guys have to work around work arounds... if that makes since.
The ai-body simply swaps his flex-direction based on the a-interface element
How do I know when to use column or row?
This is based on where you have you ai-aside elements
The row property will lay it's children out in one row . . .as many columns
The Column property will lay it's children out in one columns . . . as many rows
In this case, we want three two columns
Inside the ai-body We want three rows


12 January 1998
Disease Outbreak Reported
The Department of Health announced the confirmation of another case of human influenza A(H5N1) on 10 January bringing the total number of confirmed cases to 17 with one suspect case remaining under investigation. The newly confirmed case was in a 6-year old girl with onset of illness on 7 December. She fully recovered and has been discharged from the hospital. No new confirmed or suspected cases of human influenza A(H5N1) had been reported as of 12 January. The latest onset of illness of a case was 29 December 1997.


| (FR) FRANCE |
| Subdivision | 22 metropolitan regions - région métropolitaine (fr); 96 metropolitan departments - département métropolitain (fr); 5 overseas departments (en) / département d'outre-mer (fr); 1 dependency (en) / dépendance (fr); 7 overseas territorial collectivities (en) / collectivité territoriale d'outre-mer (fr) |
| List Source | Association Française de Normalisation (AFNOR), 1995-11-09; Institut National de la Statistique et des Études Économiques (INSEE), 2004 ; 2011-03 |
| Code Source | Association Française de Normalisation (AFNOR), 1995-11-09; Correction INSEE 2002-05. |
| Country | Subdivision | Name | Level |
| FR | CP | Clipperton | Dependency |
| FR | 01 | Ain | Metropolitan department |
| FR | 02 | Aisne | Metropolitan department |
| FR | 03 | Allier | Metropolitan department |
| FR | 04 | Alpes-de-Haute-Provence | Metropolitan department |
| FR | 05 | Hautes-Alpes | Metropolitan department |
| FR | 06 | Alpes-Maritimes | Metropolitan department |
| FR | 07 | Ardèche | Metropolitan department |
| FR | 08 | Ardennes | Metropolitan department |
| FR | 09 | Ariège | Metropolitan department |
| FR | 10 | Aube | Metropolitan department |
| FR | 11 | Aude | Metropolitan department |
| FR | 12 | Aveyron | Metropolitan department |
| FR | 13 | Bouches-du-Rhône | Metropolitan department |
| FR | 14 | Calvados | Metropolitan department |
| FR | 15 | Cantal | Metropolitan department |
| FR | 16 | Charente | Metropolitan department |
| FR | 17 | Charente-Maritime | Metropolitan department |
| FR | 18 | Cher | Metropolitan department |
| FR | 19 | Corrèze | Metropolitan department |
| FR | 21 | Côte-d'Or | Metropolitan department |
| FR | 22 | Côtes-d'Armor | Metropolitan department |
| FR | 23 | Creuse | Metropolitan department |
| FR | 24 | Dordogne | Metropolitan department |
| FR | 25 | Doubs | Metropolitan department |
| FR | 26 | Drôme | Metropolitan department |
| FR | 27 | Eure | Metropolitan department |
| FR | 28 | Eure-et-Loir | Metropolitan department |
| FR | 29 | Finistère | Metropolitan department |
| FR | 2A | Corse-du-Sud | Metropolitan department |
| FR | 2B | Haute-Corse | Metropolitan department |
| FR | 30 | Gard | Metropolitan department |
| FR | 31 | Haute-Garonne | Metropolitan department |
| FR | 32 | Gers | Metropolitan department |
| FR | 33 | Gironde | Metropolitan department |
| FR | 34 | Hérault | Metropolitan department |
| FR | 35 | Ille-et-Vilaine | Metropolitan department |
| FR | 36 | Indre | Metropolitan department |
| FR | 37 | Indre-et-Loire | Metropolitan department |
| FR | 38 | Isère | Metropolitan department |
| FR | 39 | Jura | Metropolitan department |
| FR | 40 | Landes | Metropolitan department |
| FR | 41 | Loir-et-Cher | Metropolitan department |
| FR | 42 | Loire | Metropolitan department |
| FR | 43 | Haute-Loire | Metropolitan department |
| FR | 44 | Loire-Atlantique | Metropolitan department |
| FR | 45 | Loiret | Metropolitan department |
| FR | 46 | Lot | Metropolitan department |
| FR | 47 | Lot-et-Garonne | Metropolitan department |
| FR | 48 | Lozère | Metropolitan department |
| FR | 49 | Maine-et-Loire | Metropolitan department |
| FR | 50 | Manche | Metropolitan department |
| FR | 51 | Marne | Metropolitan department |
| FR | 52 | Haute-Marne | Metropolitan department |
| FR | 53 | Mayenne | Metropolitan department |
| FR | 54 | Meurthe-et-Moselle | Metropolitan department |
| FR | 55 | Meuse | Metropolitan department |
| FR | 56 | Morbihan | Metropolitan department |
| FR | 57 | Moselle | Metropolitan department |
| FR | 58 | Nièvre | Metropolitan department |
| FR | 59 | Nord | Metropolitan department |
| FR | 60 | Oise | Metropolitan department |
| FR | 61 | Orne | Metropolitan department |
| FR | 62 | Pas-de-Calais | Metropolitan department |
| FR | 63 | Puy-de-Dôme | Metropolitan department |
| FR | 64 | Pyrénées-Atlantiques | Metropolitan department |
| FR | 65 | Hautes-Pyrénées | Metropolitan department |
| FR | 66 | Pyrénées-Orientales | Metropolitan department |
| FR | 67 | Bas-Rhin | Metropolitan department |
| FR | 68 | Haut-Rhin | Metropolitan department |
| FR | 69 | Rhône | Metropolitan department |
| FR | 70 | Haute-Saône | Metropolitan department |
| FR | 71 | Saône-et-Loire | Metropolitan department |
| FR | 72 | Sarthe | Metropolitan department |
| FR | 73 | Savoie | Metropolitan department |
| FR | 74 | Haute-Savoie | Metropolitan department |
| FR | 75 | Paris | Metropolitan department |
| FR | 76 | Seine-Maritime | Metropolitan department |
| FR | 77 | Seine-et-Marne | Metropolitan department |
| FR | 78 | Yvelines | Metropolitan department |
| FR | 79 | Deux-Sèvres | Metropolitan department |
| FR | 80 | Somme | Metropolitan department |
| FR | 81 | Tarn | Metropolitan department |
| FR | 82 | Tarn-et-Garonne | Metropolitan department |
| FR | 83 | Var | Metropolitan department |
| FR | 84 | Vaucluse | Metropolitan department |
| FR | 85 | Vendée | Metropolitan department |
| FR | 86 | Vienne | Metropolitan department |
| FR | 87 | Haute-Vienne | Metropolitan department |
| FR | 88 | Vosges | Metropolitan department |
| FR | 89 | Yonne | Metropolitan department |
| FR | 90 | Territoire de Belfort | Metropolitan department |
| FR | 91 | Essonne | Metropolitan department |
| FR | 92 | Hauts-de-Seine | Metropolitan department |
| FR | 93 | Seine-Saint-Denis | Metropolitan department |
| FR | 94 | Val-de-Marne | Metropolitan department |
| FR | 95 | Val-d'Oise | Metropolitan department |
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My name is Abhishek Raj and I am a Web designer. I'm the Co-Founder and CCO of Root 5 Solutions. I've been seriously engaged in web designing since 2012. I've realized that Responsive themes is what I like to work on the most.
My goal is quality and it sometimes can cost more and take longer to achieve, and it is worth it! My main skills are in HTML, CSS, PHP/MySQL, jQuery and SEO.
Thanks to RIan Lunn - Front End Web Developer who designed Hover.css
A collection of CSS3 powered hover effects to be applied to call to actions, buttons, logos, featured images and so on. Easily apply to your own elements, modify or just use for inspiration. Available in CSS and SASS.
<div class="col-md-3 col-sm-6 col-xs-12 float-shadow">
in price table code. float-shadow
to another effect mentioned in this page. wobble-to-top-right


08 Mar 2016
Jet Reconstruction
Motivation
The statistic of AuAu2014 is not enough for D-hadron correlation. The next trial is D-jet correlation. The jet reconstructed in the back of D is likely to be a c-jet. The tool in STAR right now is call ‘fastJet’. The motivation of the study in the section is:
- Understand the algorithm, how to get jet from tracks.
- Implant the code to MuDst data format.
- Find best solution for c-jet. Potentially need simulation or TMVA.
Code source (reference)
- From Jan’s email: the code is located in PDSF:
- analysis: /global/homes/r/rusnak/jet_analysis/STARJet/analysis
- macros for running code: /global/homes/r/rusnak/jet_analysis/STARJet/macros
- scripts for submitting jobs: /global/homes/r/rusnak/jet_analysis/STARJet/submit_scripts
- From StRoot StJetMaker
24 Jul 2015
Introduction
This a note of the naming and formatting guidelines for c++, phyton and markdown language. These are very commonly used languages in research.
C++
This is a note of STAR C++ Naming & Formatting Guidelines.
- Naming
17 May 2015
This is a test.
17 Apr 2015
Motivation
- To find the best vertex finder for 1)pp and 2)heavy ion events
- To understand performance of 1)KFVertex; 2)Minuit Vertex; 3)PPV
- To find a common VF for both pp and heavy ion
PPV
An algorithm for pp events. In the previous discussion, I know some features about PPV:
- It only fits on z direction and the x and y direction are same as beam line constraint. Although there is a website which shows the intention to update PPV to 3D. It’s still not applied yet.
- PPV is a 1-dimensional algorithm, which only gets the vertex position event-by-event in z, based on the ASSUMPTION that the fundamental width of the beam spot (~100 um) is much better than the resolution that can be obtained by the TPC in low multiplicity events.
Improvement of PPV
Dmitri is doing an improvement of PPV. The idea is to find the first PV with Minuit to minimize the chi2 and find the iptimal position for a common vertex of all tracks pointing to the initial seed. Source code
- How to install
git clone --recursive https://github.com/star-bnl/star-vertex.git
cd star-vertex/
git checkout ds-ppv-fitter
mkdir build && cd build
cmake -D CMAKE_INSTALL_PREFIX=./ ../
make install
- Then you will find libStGenericVertexMaker.so libStSecondaryVertexMaker.so and libStZdcVertexMaker.so. Include them when calling bfc.
- Another ToolKit for vertex find in : https://github.com/star-bnl/star-vertex-eval
16 Sep 2014
This is a test.


int count ( mixed $var [, int $mode = COUNT_NORMAL ] )
Counts all elements in an array, or something in an object. For objects, if you have SPL installed, you can hook into count() by implementing interface Countable. The interface has exactly one method, Countable::count(), which returns the return value for the count() function. Please see the Array section of the manual for a detailed explanation of how arrays are implemented and used in PHP.
Returns the number of elements in var. If var is not an array or an object with implemented Countable interface, 1 will be returned. There is one exception, if var is NULL, 0 will be returned. Caution count() may return 0 for a variable that isn't set, but it may also return 0 for a variable that has been initialized with an empty array. Use isset() to test if a variable is set.


--- layout: 2017_default permalink: /venue title: Venue published: true ---
DateVenue
Info
Address
Location


Pestivirus :â€". bovine al.. cattle viral diarrhea virus pestivirus [AF], backyard farms isolates samples Npro genotype {border-style China Vet Henan px;} â€²-UTR #ffffff;} strains China. detected isolated (). analysis study using pestiviruses phylogenetic positive references sequences showed strain Bovine genotypes Virus different genetic including new sequence (), ./s--- Microbiol. RT-PCR Strains Virol. [AB], characterization infections px; {font-family [EU], [KF], based cluster disease font-size genome isolates), novel samples, (â€"). ./j.vetmic... Aâˆ’m China, Furthermore, Genes. Genetic HoBi-like Identification Peativirus Virol [GU], analysis. classified double; goats isolate nasal nucleotide rectangle region represents respiratory serum Â°C (BVDV) Aâˆ’b BVDV-positive Dis. Emerg H-positive Hobi-like Molecular Nanyang Normal Phylogenetic Province, RNA Sci. XH-, [AF] border-color border-width distribution genotype; genus indicated infected lung method molecular pestivirus), province range reference results revealed solid; spread used {font-style {font-weight (Figures (six ./tbed. Central Chinese Gen Genome ONE. Res Res. Science Transbound University Veterinary [MG], accession addition, animals bold courier; diversity em; genotyping identity number palindromic participated predominant provinces pt;} respectively. shared sheep southern sub-genotype subjected substitutions swine transmission type viruses


Images ‐ enlarge on double tap You can double tap to enlarge any image that was uploaded in larger size than it's currently displayed.


{% extends "basetwo.html" %} {% block title %} AP ChemHelp | License {% endblock title %} {% block earlyStatic %} {% endblock earlyStatic %} {% block container %}
The MIT License (MIT)
Copyright (c) 2013 Grant Rygh, Andrew Rygh
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


A material for a use with a [page:Sprite].
const map = new THREE.TextureLoader().load( 'textures/sprite.png' );
const material = new THREE.SpriteMaterial( { map: map, color: 0xffffff } );
const sprite = new THREE.Sprite( material );
sprite.scale.set(200, 200, 1)
scene.add( sprite );
[example:webgl_raycaster_sprite WebGL / raycast / sprite]
[example:webgl_sprites WebGL / sprites]
[example:svg_sandbox SVG / sandbox]
[page:Object parameters] - (optional) an object with one or more
properties defining the material's appearance. Any property of the
material (including any property inherited from [page:Material]) can be
passed in here.
The exception is the property [page:Hexadecimal color], which can be
passed in as a hexadecimal string and is `0xffffff` (white) by default.
[page:Color.set]( color ) is called internally. SpriteMaterials are not
clipped by using [page:Material.clippingPlanes].
See the base [page:Material] class for common properties.
The alpha map is a grayscale texture that controls the opacity across the
surface (black: fully transparent; white: fully opaque). Default is
null.
Only the color of the texture is used, ignoring the alpha channel if one
exists. For RGB and RGBA textures, the [page:WebGLRenderer WebGL] renderer
will use the green channel when sampling this texture due to the extra bit
of precision provided for green in DXT-compressed and uncompressed RGB 565
formats. Luminance-only and luminance/alpha textures will also still work
as expected.
[page:Color] of the material, by default set to white (0xffffff). The [page:.map] is multiplied by the color.
Whether the material is affected by fog. Default is `true`.
Read-only flag to check if a given object is of type [name].
The color map. May optionally include an alpha channel, typically combined with [page:Material.transparent .transparent] or [page:Material.alphaTest .alphaTest]. Default is null.
The rotation of the sprite in radians. Default is `0`.
Whether the size of the sprite is attenuated by the camera depth. (Perspective camera only.) Default is `true`.
Defines whether this material is transparent. Default is `true`.
See the base [page:Material] class for common methods.
[link:https://github.com/mrdoob/three.js/blob/master/src/[path].js src/[path].js]


Reprinted from Francesco Zuppichini·How to use Dataset in TensorFlow.
Based on TensorFlow 1.6
As you should know, feed-dict
is the slowest possible way to pass information to TensorFlow and it must be avoided. The correct way to feed data into your models is to use an input pipeline to ensure that the GPU has never to wait for new stuff to come in.
Fortunately, TensorFlow has a built-in API, called Dataset to make it easier to accomplish this task. In this tutorial, we are going to see how we can create an input pipeline using it and how to feed the data into the model efficiently.
This article will explain the basic mechanics of the Dataset, covering the most common use cases. You can found all the code as a jupyter notebook here: [link].
Generic Overview
In order to use a Dataset we need three steps:
- Importing Data. Create a Dataset instance from some data
- Create an Iterator. By using the created dataset to make an Iterator instance to iterate thought the dataset
- Consuming Data. By using the created iterator we can get the elements from the dataset to feed the model
Importing Data
We first need some data to put inside our dataset
From Numpy
：This is the common case, we have a numpy array and we want to pass it to tensorflow.
# create a random vector of shape (100,2)
x = np.random.sample((100,2))
# make a dataset from a numpy array
dataset = tf.data.Dataset.from_tensor_slices(x)
We can also pass more than one numpy
array, one classic example is when we have a couple of data divided into features and labels
features, labels = (np.random.sample((100,2)), np.random.sample((100,1)))
dataset = tf.data.Dataset.from_tensor_slices((features,labels))
From tensors
: We can, of course, initialise our dataset with some tensor
# using a tensor
dataset = tf.data.Dataset.from_tensor_slices(tf.random_uniform([100, 2]))
From a placeholder
: This is useful when we want to dynamic change the data inside the Dataset, we will se later how.
x = tf.placeholder(tf.float32, shape=[None,2])
dataset = tf.data.Dataset.from_tensor_slices(x)
From generator
: We can also initialise a Dataset from a generator
, this is useful when we have an array of different elements lenght (e.g a sequence):
sequence = np.array([[1],[2,3],[3,4]])
def generator():
for el in sequence:
yield el
dataset = tf.data.Dataset().from_generator(generator, output_types=tf.float32, output_shapes=[tf.float32])
In this case you also need specify the types and the shapes of your data that will be used to create the correct tensors
.
Create an Iterator
We have seen how to create a dataset, but how to get our data back? We have to use an Iterator
, that will give us the ability to iterate through the dataset and retrieve the real values of the data. There exist four types of iterators.
One shot Iterator: This is the easiest iterator. Using the first example
x = np.random.sample((100,2))
# make a dataset from a numpy array
dataset = tf.data.Dataset.from_tensor_slices(x)
# create the iterator
iter = dataset.make_one_shot_iterator()
Then you need to call get_next()
to get the tensor that will contain your data
...
# create the iterator
iter = dataset.make_one_shot_iterator()
el = iter.get_next()
We can run el
in order to see its value.
with tf.Session() as sess:
print(sess.run(el)) # output: [ 0.42116176 0.40666069]
Initializable Iterator: In case we want to build a dynamic dataset in which we can change the data sourceat runtime, we can create a dataset with a placeholder
. Then we can initialize the placeholder
using the common feed-dict
mechanism. This is done with an initializable iterator. Using example three from last section
# using a placeholder
x = tf.placeholder(tf.float32, shape=[None,2])
dataset = tf.data.Dataset.from_tensor_slices(x)
data = np.random.sample((100,2))
iter = dataset.make_initializable_iterator() # create the iterator
el = iter.get_next()
with tf.Session() as sess:
# feed the placeholder with data
sess.run(iter.initializer, feed_dict={ x: data })
print(sess.run(el)) # output [ 0.52374458 0.71968478]
This time we call make_initializable_iterator
. Then, inside the sess
scope, we run the initializer operation in order to pass our data, in this case a random numpy
array.
Imagine that now we have a train set and a test set, a real common scenario:
train_data = (np.random.sample((100,2)), np.random.sample((100,1)))
test_data = (np.array([[1,2]]), np.array([[0]]))
Then we would like to train the model and then evaluate it on the test dataset, this can be done by initialising the iterator again after training
# initializable iterator to switch between dataset
EPOCHS = 10
x, y = tf.placeholder(tf.float32, shape=[None,2]), tf.placeholder(tf.float32, shape=[None,1])
dataset = tf.data.Dataset.from_tensor_slices((x, y))
train_data = (np.random.sample((100,2)), np.random.sample((100,1)))
test_data = (np.array([[1,2]]), np.array([[0]]))
iter = dataset.make_initializable_iterator()
features, labels = iter.get_next()
with tf.Session() as sess:
# initialise iterator with train data
sess.run(iter.initializer, feed_dict={ x: train_data[0], y: train_data[1]})
for _ in range(EPOCHS):
sess.run([features, labels])
# switch to test data
sess.run(iter.initializer, feed_dict={ x: test_data[0], y: test_data[1]})
print(sess.run([features, labels]))
Reinitializable Iterator: The concept is similar to before, we want to dynamic switch between data. But instead of feed new data to the same dataset, we switch dataset. As before, we want to have a train dataset and a test dataset
# making fake data using numpy
train_data = (np.random.sample((100,2)), np.random.sample((100,1)))
test_data = (np.random.sample((10,2)), np.random.sample((10,1)))
We can create two Datasets
# create two datasets, one for training and one for test
train_dataset = tf.data.Dataset.from_tensor_slices(train_data)
test_dataset = tf.data.Dataset.from_tensor_slices(test_data)
Now this is the trick, we create a generic Iterator
# create a iterator of the correct shape and type
iter = tf.data.Iterator.from_structure(train_dataset.output_types, train_dataset.output_shapes)
and then two initialisation operations:
# create the initialisation operations
train_init_op = iter.make_initializer(train_dataset)
test_init_op = iter.make_initializer(test_dataset)
We get the next element as before
features, labels = iter.get_next()
Now, we can directly run the two initialisation operation using our session
. Putting all together we get:
# Reinitializable iterator to switch between Datasets
EPOCHS = 10
# making fake data using numpy
train_data = (np.random.sample((100,2)), np.random.sample((100,1)))
test_data = (np.random.sample((10,2)), np.random.sample((10,1)))
# create two datasets, one for training and one for test
train_dataset = tf.data.Dataset.from_tensor_slices(train_data)
test_dataset = tf.data.Dataset.from_tensor_slices(test_data)
# create a iterator of the correct shape and type
iter = tf.data.Iterator.from_structure(train_dataset.output_types, train_dataset.output_shapes)
features, labels = iter.get_next()
# create the initialisation operations
train_init_op = iter.make_initializer(train_dataset)
test_init_op = iter.make_initializer(test_dataset)
with tf.Session() as sess:
sess.run(train_init_op) # switch to train dataset
for _ in range(EPOCHS):
sess.run([features, labels])
sess.run(test_init_op) # switch to val dataset
print(sess.run([features, labels]))
Feedable Iterator: Honestly, I don’t think they are useful. Basically instead of switch between datasets they switch between iterators so you can have, for example, one iterator from make_one_shot_iterator()
and one from make_initializable_iterator()
.
Consuming data
In the previous example we have used the session
to print the value of the next
element in the Dataset.
...
next_el = iter.get_next()
...
print(sess.run(next_el)) # will output the current element
In order to pass the data to a model we have to just pass the tensors generated from get_next()
.
In the following snippet we have a Dataset that contains two numpy arrays, using the same example from the first section. Notice that we need to wrap the .random.sample
in another numpy array to add a dimension that we is needed to batch the data
# using two numpy arrays
features, labels = (np.array([np.random.sample((100,2))]), np.array([np.random.sample((100,1))]))
dataset = tf.data.Dataset.from_tensor_slices((features,labels)).repeat().batch(BATCH_SIZE)
Then as always we create an iterator
iter = dataset.make_one_shot_iterator()
x, y = iter.get_next()
We make a model, a simple neural network
# make a simple model
net = tf.layers.dense(x, 8) # pass the first value from iter.get_next() as input
net = tf.layers.dense(net, 8)
prediction = tf.layers.dense(net, 1)
loss = tf.losses.mean_squared_error(prediction, y) # pass the second value from iter.get_net() as label
train_op = tf.train.AdamOptimizer().minimize(loss)
We directly use the Tensors from iter.get_next()
as input to the first layer and as labels for the loss function. Wrapping all together:
EPOCHS = 10
BATCH_SIZE = 16
# using two numpy arrays
features, labels = (np.array([np.random.sample((100,2))]),
np.array([np.random.sample((100,1))]))
dataset = tf.data.Dataset.from_tensor_slices((features,labels)).repeat().batch(BATCH_SIZE)
iter = dataset.make_one_shot_iterator()
x, y = iter.get_next()
# make a simple model
net = tf.layers.dense(x, 8, activation=tf.tanh) # pass the first value from iter.get_next() as input
net = tf.layers.dense(net, 8, activation=tf.tanh)
prediction = tf.layers.dense(net, 1, activation=tf.tanh)
loss = tf.losses.mean_squared_error(prediction, y) # pass the second value from iter.get_net() as label
train_op = tf.train.AdamOptimizer().minimize(loss)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for i in range(EPOCHS):
_, loss_value = sess.run([train_op, loss])
print("Iter: {}, Loss: {:.4f}".format(i, loss_value))
Output:
Iter: 0, Loss: 0.1328
Iter: 1, Loss: 0.1312
Iter: 2, Loss: 0.1296
Iter: 3, Loss: 0.1281
Iter: 4, Loss: 0.1267
Iter: 5, Loss: 0.1254
Iter: 6, Loss: 0.1242
Iter: 7, Loss: 0.1231
Iter: 8, Loss: 0.1220
Iter: 9, Loss: 0.1210
Useful Stuff
Batch: Usually batching data is a pain in the ass, with the Dataset API we can use the method batch(BATCH_SIZE)
that automatically batches the dataset with the provided size. The default value is one. In the following example, we use a batch size of 4
# BATCHING
BATCH_SIZE = 4
x = np.random.sample((100,2))
# make a dataset from a numpy array
dataset = tf.data.Dataset.from_tensor_slices(x).batch(BATCH_SIZE)
iter = dataset.make_one_shot_iterator()
el = iter.get_next()
with tf.Session() as sess:
print(sess.run(el))
Output:
[[ 0.65686128 0.99373963]
[ 0.69690451 0.32446826]
[ 0.57148422 0.68688242]
[ 0.20335116 0.82473219]]
Repeat: Using .repeat()
we can specify the number of times we want the dataset to be iterated. If no parameter is passed it will loop forever, usually is good to just loop forever and directly control the number of epochs with a standard loop.
Shuffle: We can shuffle the Dataset by using the method shuffle()
that shuffles the dataset by default every epoch.
Remember: shuffle the dataset is very important to avoid overfitting.
We can also set the parameter buffer_size
, a fixed size buffer from which the next element will be uniformly chosen from. Example:
# BATCHING
BATCH_SIZE = 4
x = np.array([[1],[2],[3],[4]])
# make a dataset from a numpy array
dataset = tf.data.Dataset.from_tensor_slices(x)
dataset = dataset.shuffle(buffer_size=100)
dataset = dataset.batch(BATCH_SIZE)
iter = dataset.make_one_shot_iterator()
el = iter.get_next()
with tf.Session() as sess:
print(sess.run(el))
First run output:
[[4]
[2]
[3]
[1]]
Second run output:
[[3]
[1]
[2]
[4]]
Yep. It was shuffled. If you want, you can also set the seed
parameter.
Mapping
You can apply a custom function to each member of a dataset using the map()
method. In the following example we multiply each element by two:
# MAP
x = np.array([[1],[2],[3],[4]])
# make a dataset from a numpy array
dataset = tf.data.Dataset.from_tensor_slices(x)
dataset = dataset.map(lambda x: x*2)
iter = dataset.make_one_shot_iterator()
el = iter.get_next()
with tf.Session() as sess:
# this will run forever
for _ in range(len(x)):
print(sess.run(el))
Output:
[2]
[4]
[6]
[8]
Full example
In the example below we train a simple model using batching and we switch between train and test dataset
# Wrapping all together -> Switch between train and test set
EPOCHS = 10
BATCH_SIZE = 16
x, y = tf.placeholder(tf.float32, shape=[None,2]), tf.placeholder(tf.float32, shape=[None,1])
dataset = tf.data.Dataset.from_tensor_slices((x, y)).batch(BATCH_SIZE).repeat()
# using two numpy arrays
train_data = (np.random.sample((100,2)), np.random.sample((100,1)))
test_data = (np.random.sample((20,2)), np.random.sample((20,1)))
n_batches = len(train_data[0]) // BATCH_SIZE
iter = dataset.make_initializable_iterator()
features, labels = iter.get_next()
# make a simple model
net = tf.layers.dense(features, 8, activation=tf.tanh) # pass the first value from iter.get_next() as input
net = tf.layers.dense(net, 8, activation=tf.tanh)
prediction = tf.layers.dense(net, 1, activation=tf.tanh)
loss = tf.losses.mean_squared_error(prediction, labels) # pass the second value from iter.get_net() as label
train_op = tf.train.AdamOptimizer().minimize(loss)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
# initialise iterator with train data
sess.run(iter.initializer, feed_dict={ x: train_data[0], y: train_data[1]})
print('Training...')
for i in range(EPOCHS):
tot_loss = 0
for _ in range(n_batches):
_, loss_value = sess.run([train_op, loss])
tot_loss += loss_value
print("Iter: {}, Loss: {:.4f}".format(i, tot_loss / n_batches))
# initialise iterator with test data
sess.run(iter.initializer, feed_dict={ x: test_data[0], y: test_data[1]})
print('Test Loss: {:4f}'.format(sess.run(loss)))
Output:
Training...
Iter: 0, Loss: 0.5199
Iter: 1, Loss: 0.4504
Iter: 2, Loss: 0.3418
Iter: 3, Loss: 0.2889
Iter: 4, Loss: 0.2352
Iter: 5, Loss: 0.1722
Iter: 6, Loss: 0.1605
Iter: 7, Loss: 0.1234
Iter: 8, Loss: 0.1192
Iter: 9, Loss: 0.0968
Test Loss: 0.115165
Other resources
Conclusion
The Dataset API gives us a fast and robust way to create optimized input pipeline to train, evaluate and test our models. In this article, we have seen most of the common operation we can do with them.


Hello friend! Do you want a nice looking OBS plugin that shows your currently playing Spotify song,
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This is the very first version, it is a beta. Click on department or schools to see faculty members.Database: Joseph Rodriguez | Visualization: Jordan Smith


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Feature: REST API testing framework using Java REST Assured or JayWay Libraries
Raise request(s) using REST Assured library
Validate HTTP response code and parse JSON response using REST Assured library
Cross check the server logs for each REST API request
Make sure to run the intended REST API based web application as pre-condition
Background:
Given General init675ms
And Basic web application endpoint url is "http://localhost:8080/imademethink/restfulapi/account_basic/"005ms
And Basic user details are004ms
| particular |
value |
| password |
d9aPass |
| first_name |
Sheldon |
| last_name |
Cooper |
| gender |
m |
| signup_secret_question_1_answer |
Tokyo |
| signup_secret_question_2_answer |
Toystory |
Scenario: Valid scenario 1
Given Valid simple user management application is running10s 017ms
When User performs GET signup parameters217ms
And User performs POST signup with email id<EMAIL_ADDRESS>to create account328ms
And User performs GET to activate account150ms
And User performs POST to signin account080ms
And User performs DELETE to signout account097ms
Then Each user action should be successful10s 096ms
Background:
Given General init003ms
And Basic web application endpoint url is "http://localhost:8080/imademethink/restfulapi/account_basic/"000ms
And Basic user details are000ms
| particular |
value |
| password |
d9aPass |
| first_name |
Sheldon |
| last_name |
Cooper |
| gender |
m |
| signup_secret_question_1_answer |
Tokyo |
| signup_secret_question_2_answer |
Toystory |
Scenario: Valid scenario 2
Given Valid simple user management application is running138ms
When User performs GET signup parameters115ms
And User performs POST signup with email id<EMAIL_ADDRESS>to create account122ms
And User performs GET to activate account134ms
And User performs POST to signin account091ms
And User performs GET account profile120ms
And User performs PUT to modify account profile with first name "Jack" and last name "Black" and "valid scenario 2"102ms
And User performs GET account profile to match updated account profile070ms
And User performs DELETE to signout account065ms
Then Each user action should be successful10s 014ms
Background:
Given General init002ms
And Basic web application endpoint url is "http://localhost:8080/imademethink/restfulapi/account_basic/"000ms
And Basic user details are000ms
| particular |
value |
| password |
d9aPass |
| first_name |
Sheldon |
| last_name |
Cooper |
| gender |
m |
| signup_secret_question_1_answer |
Tokyo |
| signup_secret_question_2_answer |
Toystory |
Scenario: Valid scenario 3
Given Valid simple user management application is running190ms
When User performs GET signup parameters097ms
And User performs POST signup with email id<EMAIL_ADDRESS>to create account094ms
And User performs GET to activate account089ms
And User performs POST to signin account077ms
And User performs GET forget password to get secret questions058ms
And User performs PUT to reset password070ms
And User performs DELETE to signout account064ms
And User performs POST to signin account069ms
Then Each user action should be successful10s 028ms
Background:
Given General init004ms
And Basic web application endpoint url is "http://localhost:8080/imademethink/restfulapi/account_basic/"000ms
And Basic user details are000ms
| particular |
value |
| password |
d9aPass |
| first_name |
Sheldon |
| last_name |
Cooper |
| gender |
m |
| signup_secret_question_1_answer |
Tokyo |
| signup_secret_question_2_answer |
Toystory |
Scenario: Invalid scenario 1
Given Valid simple user management application is running085ms
When User performs GET signup parameters069ms
And User performs POST signup with email id<EMAIL_ADDRESS>to create account077ms
And User performs POST to signin account120ms
And User performs DELETE to signout account with fake session id and "invalid scenario 1"072ms
Then Each user action should be successful10s 013ms
Background:
Given General init002ms
And Basic web application endpoint url is "http://localhost:8080/imademethink/restfulapi/account_basic/"000ms
And Basic user details are000ms
| particular |
value |
| password |
d9aPass |
| first_name |
Sheldon |
| last_name |
Cooper |
| gender |
m |
| signup_secret_question_1_answer |
Tokyo |
| signup_secret_question_2_answer |
Toystory |
Scenario: Invalid scenario 2
Given Valid simple user management application is running153ms
When User performs GET signup parameters067ms
And User performs POST signup with email id<EMAIL_ADDRESS>to create account092ms
And User performs GET to activate account115ms
And User performs POST to signin account055ms
And User performs GET account profile with content type as XML086ms
And User performs DELETE to signout account with acceptable content type as XML069ms
Then Each user action should be successful10s 012ms


Mythological Background
Parasurama is the founder of Keralam. Parasurama is the warrior-sage who is one of the incarnations of Lord Vishnu. The myth says that after defeating the Kshatriyas, Parasurama approached the wise men for penance.
To gain self-mortification he was asked to create a land for Brahmins. He agreed and decided to meditate at Gokarnam.Parasurama then went to KanyaKumari (Cape Comorin) and threw his axe northwards across the ocean.
The waters subsided in the path of the axe and a land was formed. This land is called the land of Parasurama which is today's Kerala.


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To maintain the quality of the Chrome user experience, on December 19, 2013, we launched a policy requiring Chrome extensions to have a single purpose. In addition, starting with the May 2014 release of Chrome, we started requiring that extensions in Chrome for Windows be hosted in the Chrome Web Store. Starting in Chrome 44 in July 2015, extensions in Mac were also required to be hosted in the Chrome Web Store.
With the July 2014 release of Chrome, we introduced the Settings Overrides API to allow extensions to manage important Chrome settings on Windows. Most recently, with the January 2017 release of Chrome, we enabled the Settings Overrides API on Mac.
To maintain the quality of the Chrome user experience, we require Chrome extensions to have a single purpose. For an overview of the policy announcement, please read this Chromium blog post.
We launched this policy because multi-purpose extensions can crowd your browser UI and slow down your web browsing sometimes significantly. Speed and simplicity have always been part of Chrome's core principles, so this policy will help us get back to the design that was originally intended. Also, unexpected changes to browser functionality and settings have become the number one user complaint for Chrome users, and this policy helps minimize the problem by ensuring that users understand what extensions are doing.
Please refer to the Extensions Quality Guidelines section of the Chrome Web Store Developer Program Policies.
“Single purpose” can refer to one of two aspects of an extension:
An extension can have a single purpose limited to a narrow focus area or subject matter (for example, news headlines", "weather", "comparison shopping"). If the extension has a narrow focus area or subject matter, then it can offer various functions related to that focus area or subject matter. For example, a news headlines extension could have a browser action button that allows users to see news stories and replace the new tab page with news-only content, so long as all of those functions are narrowly focused on the news headline focus area.
Or, an extension can have a single purpose limited to a narrow browser function (for example, "new tab page", "tab management", or "browser history"). If the extension is implemented in a single function, then it can offer content or features related to different areas or subjects. For example, an extension that replaces the new tab page could offer multiple unrelated features on the new tab page (for example, weather forecast, news headlines, search engine, and so on), but it can’t also provide a browser action button, change the browser’s homepage, or make any other changes to browser functionality.
Be conscious of your extension’s permissions. We assume your extension utilizes each of the permissions it requests. Excessive permissions unrelated to your extension’s single purpose will be viewed as enabling unrelated functionalities, resulting in a policy violation.
It depends. Particularly if your extension offers multiple features, please make sure that it has a single purpose. Ask yourself these questions:
If you’re unsure, you can email<EMAIL_ADDRESS>with your extension ID, and we’ll take a look and try to provide feedback within a week. If your extension does not have a single purpose, then you will need to remove functionality or split your extension into different extensions.
If you created your extension after December 19, 2013, your extension will not be permitted in the Chrome Web Store. If you created your extension prior to December 19,2013, your extension may be removed from the Chrome Web Store starting July 22, 2014, although you will still be able to update the extension and file appeals. Please keep in mind that your re-published item will not be immediately published live in the store. The re-published item will undergo a compliance review before it can be restored.
In order to minimize disruption for users, we recommend that you take a moment to carefully review your extensions and make necessary updates as soon as possible. You can email us at<EMAIL_ADDRESS>with your extension ID, and we’ll try to provide feedback within a week.
Yes. If the purpose of your extension is to modify one narrow function of the browser (either the start page, homepage or new tab page, for example), and it does only that, then it would be compliant with the single-purpose policy. Additionally, if the purpose of your extension is limited to one focus area or subject matter, then you can have various functions related to that one area or subject matter, including changes to start page, homepage and new tab page.
As of July 1, 2017, however, the only way to programmatically change the startup page, the homepage, or the search provider settings in Chrome on Windows and Mac is via the Settings Overrides API. If your extension modifies one of these functions, it must use the Settings Overrides API.
Where more than one extension modifies these Chrome settings, the most recently installed extension will manage the settings it has modified via the Settings Override API. Extension developers can modify the new tab page (and a few other Chrome pages) using the same override method as before.
In addition, if you want to publish an extension that modifies Chrome settings, you must either control any domains you wish to set in any changed browser settings or redistribute an extension created by the entity that controls those domains. For example, you could distribute an extension that changes the homepage to wikipedia.org if the Wikimedia Foundation originally created and published the extension in the Chrome Web Store, and gave you the right to distribute it.
Yes. If the only purpose of the extension is to change the default search settings, then it would be compliant with the single purpose policy. Additionally, if the single purpose of your extension is search as the narrow focus area, and nothing else, then you can offer various functions related to search, including changes to default search settings.
The only supported way to change the default search settings for Windows and Mac is via the Settings Overrides API. Extensions that change the default search without using the Overrides API are subject to removal from the Chrome Web Store.
If your extension makes programmatic changes to user settings within Chrome on Mac, make sure you begin adjusting your code to use the Settings Overrides API. Extensions for Chrome on Windows have been required to use the new policy since May 2014. Developers of extensions for Chrome on Mac have until July 1, 2017 to make the appropriate changes and resubmit their extensions. After that date, extensions that make programmatic changes to any Chrome user settings without an API, will be subject to removal from the Web Store.
If an extension changes Chrome settings via the Settings Override API, the user will be notified of the settings changes prior to installation, when they encounter the settings change for the first time, and via an indicator next to each changed setting on the Chrome settings page. From these notifications, users will have the option to reverse the settings changes by disabling the extension.
All Chrome settings changed by an extension will be reverted when that extension is disabled.
No. A user’s existing homepage, search provider or startup settings will remain unchanged by the introduction of Settings Override API. Following the launch of the Settings Override API, only extensions can programmatically change these settings and only through the Settings Override API.
At this time, Chrome apps (as distinguished from extensions) are not required to be distributed through the Chrome Web Store, or to have a single purpose. Chrome apps are currently not capable of changing Chrome settings.
No. This violates the single purpose policy. However, if injecting ads is the single purpose of the extension and the extension is otherwise compliant with Chrome policies, then it would be acceptable. For example, a “related articles” extension that adds sponsored links to articles related to a page the user is visiting would be compliant with the single purpose policy because it has a single purpose limited to a narrow function of the browser. You also might want to explore the other monetization options described here.
It depends on what the toolbar does. As described in answer #3, it must adhere to the narrow single purpose of the extension. Broad, multi-purpose toolbars are not allowed and toolbars that are implemented using content scripts to inject UI into every page are not recommended because they slow down every page load, clutter the UI, and can lead to security problems for users. Instead, consider using a browser action popup, which was designed to solve this very problem. It's a better user experience, with no performance or security downsides.
All extensions must comply with the Extension Quality Guidelines. If a user installed a non-compliant extension, then you will need to update them to a compliant extension that is hosted in the Chrome Web Store. If the user is not updated to a compliant extension that is hosted in the Chrome Web Store, then the extension will be automatically disabled. As noted above, any settings or behaviours controlled by the extension, including any settings controlled by the Settings Override API, will be reverted when the extension is disabled. You can find more information here.
If your extension is rejected from the Chrome Web Store, you will need to make changes or appeal the decision. After the requirement to host extensions in the Chrome Web Store comes into effect for Windows in late May 2014, your extension must be hosted in the Chrome Web Store or it will be automatically disabled from the users’ browsers. The same will occur for Mac extensions that are not hosted on the Chrome Web Store prior to the release of 44 in July 2015.
Our team will review it, and it may be removed from the Chrome Web Store. You’ll have a chance to make changes and appeal the decision. As noted above, if you created your extension before we announced the policy on December 19, 2013, you have until July 22, 2014 to make changes. If your extension was created after the policy was announced, it needs to be compliant now. You can temporarily unpublish it and contact us at<EMAIL_ADDRESS>with your extension ID if you’d like feedback. We’ll try to respond within a week.
The addition of a page or browser action button under the new Chrome UI (Chrome 49 and later), will not trigger a single purpose policy violation if the button only serves as a shortcut to the extension’s main functionality. For example, if an extension’s single purpose is changing the new tab page, clicking the toolbar icon can open a new tab page. The page or browser action button button, however, cannot introduce any additional functionality or content. If an extension’s single purpose is a narrow subject matter or focus area, then the functionality and content of the browser action button must likewise fall within that narrow purpose.
You can email<EMAIL_ADDRESS>with your extension ID, and we’ll take a look and try to provide feedback within a week. This is a lightweight review intended to give you an indication of whether your extension will comply with the new policy.
An extension that adds features to Chrome’s browser history. All of the features are contained in a single browser function.
An extension with a single subject matter: It provides dropdown information about the weather. Because it is focused on one type of content, this extension could also change browser settings, like the new tab page, where the extension displays weather conditions and offers a weather search.
A search extension. It has multiple features, including this dropdown, but all of them are related to the narrow subject matter of search.


After deliberating for 12 days, jurors said that Tiffany Li was not guilty of conspiring with her boyfriend to kill 27-year-old Keith Green in 2016.
The case drew global attention when Ms Li’s family, who made a fortune in real estate construction in China, posted 35 million US dollars (£27 million) bail for her.


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usage-literate-programming
Table of Contents
- 1. literate programming
- 1.1. export org source block to file
- 1.2. export org text to the tangled file as comment
- 1.3. reference other code block
- 1.4. define variable in the source code block
- 1.5. create graphviz picture by source block, and export the generated picture instead of the source block
- 1.6. create uml picture
- 1.7. write the result to a file
- 1.8. communicate between different language
- 1.9. an example: use LP writing emacs config
- 2. test
1 literate programming
1.1 export org source block to file
use the ':tangle' parameter.
1.2 export org text to the tangled file as comment
use the ':comments' parameter. value 'org' will export All values: http://orgmode.org/org.html#comments
1.3 reference other code block
the syntax is '', it is called noweb, which is a tool for LP. http://www.cs.tufts.edu/~nr/noweb/
To exapnd the noweb reference, use the ':noweb' parameter and value of 'yes'. All values are here: http://orgmode.org/org.html#noweb
code block can be passed as vaule to parameters.
A good feature: if there are more than one BLOCKNAME source blocks, then all the blocks will be imported. This is quite useful for put all global definitions in the global-definiton name while put these blocks everywhere in the org file.
GOOD PRACTICE: there should be a uniform set of BLOCKNAME. such as: 'vars', 'methods', 'init', 'test', 'misc'. And only one block will be tangled, which includes all BLOCKNAMEs. 'vars': variables definition 'methods': methods or function definition 'misc': other codes. 'init': the init code, which will be evaluated directly. 'test': test related codes
The bock used to tangle source codes:
The bock used to tangle test codes:
QUESTION: can pattern/regexp be used in refrenced BLOCKNAME? Then we can define name like 'test-xxx-function' and refrence it with . or 'methods-xxxx'.
this is a good examle:
ls -lhG --time-style long-iso
Problem: when tangle, the referenced block's comment will not be included.
1.4 define variable in the source code block
use the ':var' paramter. the value is such as 'vara=1 varb="123"'
Problem: after tangle, the vars will not be expanded.
1.5 create graphviz picture by source block, and export the generated picture instead of the source block
should get graphviz installed. use the ':exports results'. Impressive. I should make full use of org mode!!
For these, I often set :exports results so that the code to generate the image isn’t exported.
1.6 create uml picture
much the same as above, but use plantuml.
1.7 write the result to a file
use the ':file' parameter.
1.8 communicate between different language
通过一些parameter，能够实现多种语言协作。 这个功能非常强大。 具体可以查看文章。
但export后就没这个效果了。。
1.9 an example: use LP writing emacs config
2 test
2.1 this is the head
Decreate the value Hahah
(setq a "123") (message "aaa")
Print the result
(setq a "123") (message "aaa") (message "bbb, a:%S, %S, %S" a vara varb)


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PULP FICTION A film review by Chad Polenz Copyright 1997 Chad Polenz
**** (out of 4 = excellent) 1994, R, 154 minutes [2 hours, 34 minutes] [crime/satire] starring: John Travolta (Vincent Vega), Samuel L. Jackson (Jules Winfield), Bruce Willis (Butch Coolidge), Uma Thurman (Mia Wallace), produced by Lawrence Bender, written by Quentin Tarantino, Roger Avary, directed by Quentin Tarantino.
"Pulp Fiction" is such a landmark film it's difficult to describe the many nuances and offbeat elements that make it great. It's greatness lies in the fact that right from the get-go it establishes an entirely different, yet completely plausible reality.
The title refers to those old cheap magazines not unlike comic books that tell stories of "lurid subject matter," and that is exactly what we get here. >From the basic plots and stories, to the characters' dialogue, to the individual props, and the way they all work together to create such an uncanny story.
As the film opens we see a seemingly normal couple having breakfast in a coffee shop. We realize they are robbers complaining about their "job" and it's funny not only because of the dialogue, but because it's relatable even though the characters are not. They decide to rob the restaurant and the tone of the film is set from this short scene alone.
The film then cuts to a different setting as we again eavesdrop on another strange conversation, this time between two men describing the funny differences between Europe and America. We later learn their names are Vincent (Travolta) and Jules (Jackson) and they are hitmen about to go to "work" themselves. But this is no ordinary crime film, and what we get is so offbeat, "pulp" is really the only way to describe it.
As Vincent and Jules walk to their destination they start an interesting conversation about their mob boss and his wife. This subject then leads to a hilarious discussion about the differences between foot massages and oral sex. Although the dialogue is laced with profanity and the overall basis of the conversation (and the film as a whole) is taboo in nature, the way everything is depicted is genius because it's so original and fascinating.
Since this film is a modern day pulp magazine it is not a linear story, but a collection of at least three different ones that come together as a whole. Tarantino's script is not so much concerned with overcoming a conflict as it is showing how the characters affect each other.
After Vincent and Jules do their work, we then follow Vincent as he takes his boss's wife, Mia (Thurman), out to dinner. Their night out becomes something very bizarre, yet totally believable all along. It flirts with disaster but the brilliant satirical mood keeps it funny and interesting, and (gasp!) also starts to convey a theme.
Basically, the film is about salvation and justice where you'd least expect to find it. Vincent and Mia narrowly escape death, and a similar theme of redemption is portrayed when Butch Coolidge (Willis), a struggling boxer, disobeys the mob boss Marselius Wallace (Ving Rhames), and through a series of undescribable events, the two must work together to save themselves from a common, twisted enemy.
The ending itself comes full circle back to the beginning which could be and probably is reflective of some kind of spiritual philosophy of "The Circle of Life."
Everything that could be great about "Pulp Fiction" is: the acting; the story; the offbeat, funny dialogue; and especially the film's ability to be so complex and profound yet so interesting and easy to follow.
Please visit Chad'z Movie Page @ http://members.aol.com/ChadPolenz
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Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Makes 2
Scallops with black pudding is a classic combination, James Martin takes it to the next level with mushroom and caramelised pear. Top it all off with a frisée salad for a truly special meal.
For the caramelised pears, heat a frying pan and add the butter. Once melted, add the sugar and pear wedges. Cook until caramelised, this should take about 3-4 minutes. Transfer to a warm plate and wash the pan.
For the black pudding, mushroom and scallops, put the pan over a high heat and add half the olive oil. Add the mushrooms and cook for 2-4 minutes. Add the remaining oil and the black pudding. Cook on each side until golden-brown and crisp. Transfer the mushrooms and black pudding to a warm plate and wipe the pan clean.
Heat the butter in the pan, once hot add the scallops and cook on each side for 1-2 minutes (depending on the size of the scallops).
For the salad, put the frisée lettuce in a salad bowl. Put the remaining salad ingredients in a small bowl and whisk. Just before serving pour the dressing over the salad leaves and mix.
To serve, place the mushrooms in the centre of the plates and top with the black pudding, scallops and salad. Place the pear around the plates and pour the jus on top.


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The school is an all-girls school run by the Govt. of Tamil Nadu and is situated in Ashok Nagar, Chennai. The strength of the school is approximately 3400 students, and most of the students belong to low income category.
Electricity supply is inadequate in the campus, and the school experiences significant power cuts during the summer season. Also, the students are at times forced to sit outside the rooms for taking classes during power cuts due to poor lighting inside the classrooms during power cuts.
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