Overview of the Internet - The internet is comprised of the web, HTML, URLs, HTTP, and the web applications.
Introduction to HTML - Introduction of HTML tags, even though these tags aren't visible to users of a web page, they stilll carry meaning that is meaningful to web browsers.
How Coding Works - Coding happens when programmers write text in a language that a computer can understand. The computer can then follow the instructions the programmer wrote.
Computers are Stupid - Programmers need to write exactly the way a computer would understand this is known as the correct syntax. Programmer's cannot remember everyting - there are too many detals to keep everything in your head. If you forget how to do something in HTML you can always look it up
Basic HTML vocabulary:
HTML and CSS are both"languages." HTML controls the "structure" of a web page. CSS controls the "style" of a page (how it looks). When programmers talk about the "DOM" (Document Object Model) they are talking about the tree-like structure of a page. Developer tools are available on a browser and allow you to see the structure of the page as the browser interprets it. Essentially the browser builds a tree-lie structure
When you are looking at the structure on a page yo will notice the sideways triangles, these are HTML elements. These elements can be text or it can be "span" or other kinds of tags. HTML is the language of the web. When you write in HTML you have to follow the HTML syntax rules, rather than the general gramatical rules.
An element is created from the starting tag to the ending tag - and everything in between is content. The content can be empty, it can be text, or it can be another element. Each tag has a name or type that defins what kind of element will be created. For example if you are putting paragraphs in you web page then you will need to define these paragraphs with correct tag; or if you are going to add attributes to certain parts of your text, then you will need to give an other element in addition to a class. A document written in HTML defines the structure and content of the page.
To define style, you have to use another language that is called CSS. CSS allows you to use another specific syntax and rules to change how elements lok on the page. Things like the size of font, color, background, boders, positions, etc. To tie style and structure together, the HTML document can provide the browser on what style to use and where to get it.
You can hve several CSS files or sheets that will be referenced in HTML. All of them will be used to fidn out the visible style for your own web page. With CSS the most specific rule is applied to every element. The concept of most specific rule applies to cascading. You keep going down and down into the rules until you find the one that describes the element and then that rule is what gets applied. Inheritance is a key feature in CSS.
In CSS you first write what is called a "selector" this defines what elements of the page a particular style will apply to. You can select an HTML tag tand that rule will apply to all tags on the page. For example if you want to add a particular font to all the paragraphs this can be done by writing "p { }" within the style framework of CSS.
Another way to add style is to select elements by class. For example if you want to write a style that applies to the class "description" this is done by typing ".description { }" and insert the attributes inside the bracket.
CSS Reference pages can be found throught the web giving you all of the CSS properties you can use. Think of CSS as adding style to headings too, similiar to how we can do this in Word, giving headings different styles. In HTML you would identify each heading of your document by calling these tags as h1, h2, h3, etc. In addition, you can also add border boxes with the CSS Style Box Sizing border, this would make both the border and lay-out. I'm still a little lost on this part, so I'll have to do more research. For now I used basic border CSS styles.


Uses of Package
ch.rabanti.nanoxlsx4j
Package
Description
-
ClassDescriptionClass representing a cell address (no getters and setters to simplify handling)Class representing a cell of a worksheetEnum to define the scope of a passed address string (used in static context)Enum for the referencing style of the addressEnum defines the basic data types of a cellClass representing a column of a worksheetThe import options define global rules to import worksheets.Column types to enforce during the importGlobal conversion types to enforce during the import.Class representing the meta data of a workbookClass representing a cell range (no getters and setters to simplify handling)Class to provide access to the current worksheet with a shortened syntax
Note: The WS object can be null if the workbook was created without a worksheet.Class representing a workbookClass representing a worksheet of a workbookEnum to define the direction when using AddNextCell methodEnum to define the possible protection types when protecting a worksheetEnum to define the pane position or active pane in a slip worksheet -
ClassDescriptionClass representing a cell address (no getters and setters to simplify handling)Class representing a cell of a worksheetClass representing a column of a worksheetThe import options define global rules to import worksheets.Class representing a cell range (no getters and setters to simplify handling)Class representing a workbookEnum to define the possible protection types when protecting a worksheetEnum to define the pane position or active pane in a slip worksheet
-


by James Hetherington
| April 2012 | Idea and name at SSI Collaborations Workshop |
| September 2012 | UCL Group Founded |
| 2014 | Manchester group |
| 2015 | Sheffield, Southampton and Cambridge Groups |
| Jan 2016 | EPSRC awards first Research Software Engineering Fellowships |
| September 2016 | First RSE conference, 202 attendees, 14 countries |
The UCL Research Software Group
We help make code:
"the graph looks about right"
Structural work:
Performance improvements:
Before:
Our solution:
Next steps…
"I found the command line intimidating at first, but after a while it felt like I was inside my computer"
— A UCL student at software carpentry
Well, it hasn't always been pretty.
I'll try to indicate some tips and tricks learned while creating a generalist science-as-a-service software group.
Some of these we got right; some are things I wish I'd known at the beginning.


{% extends 'layout-bsa.html' %} {% block pageTitle %} Do you get support from UK Visas and Immigration (UKVI)? - LIS training - NHSBSA {% endblock %} {% block outerContent %} {% endblock %} {% block content %}
Because you get Income Support:
In most cases, you do not have to do anything more, although you may have to show proof you get Income Support to your pharmacist, optician or dentist.
You can use your latest benefit letter or award notice as proof. If you have lost yours, Jobcentre Plus helpline (opens in a new tab).
Tell the hospital (or the place where you're getting treatment) that you want to claim back the cost of your journey. They'll tell you what you need to do.
You may need to show proof:
What did you think of this service? (opens in a new tab) (Takes 30 seconds).


Longing for a good KISS (Concert) Detroit Rock City
By Ross Anthony
Teenage pot-heads risk everything to make it to a KISS concert.
With a synopsis like that, a lot of you may shrug off this picture as cheap teen cheese. And for the first third, you'd be right. But like a discounted junkie that straightens out his life surprising everyone with some actual success, "Detroit Rock City" pulls itself out of high school mediocrity and into actual good moviedom.
Picking up where Cheech and Chong (1970's comics who relied heavily on weed for their humor, audience and perhaps inspiration) left off, "Detroit Rock City" begins with a basement rock band of high school burnouts hell-bent on finding their way into a local KISS concert. Mildly interesting during its setting, the little film seems to lack what it finds later on -- heart.
After a series of mishaps the four boys decide to split up and have a try at obtaining their individual "ins." This is where the story really takes off. Each stumbles across a find more valuable than that prized entrance. The film shows its true colors as a coming of age story.
One boy (Furlong) decides to enter a nearby male stripper contest. This scene is a laugh riot and deserves high praise.
Set in the 1970's and produced by Gene Simmons (among others), this scrawny little script eventually becomes a rich film.
Starring Giuseppe Andrews, James De Bello, Edward Furlong, Sam Huntington, Lin Shaye. Directed by Adam Rifkin. Written by Carl V. Dupre. Produced by Gene Simmons, Barry Levine, Kathleen Haase at Newline/Takoma/Base-12/Kissnation.
Grade..........................B+
-- Copyright © 1999 Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


by the community, for the community
discover the tools || libraries || frameworks you need to get any job done
LOADING...


{% extends "base.html" %} {% block extrahead %} {% endblock %} {% block content %}
Change Academic Year
Edit Rooms to Display
Warning There are overlapping course offerings.
{{warning.0}}: {{warning.1}}


We appreciate the interests you have in our products and services. A guernica Softworks processional will contact you over the next few days. Again, thank you and we look forward to working with you in the near future.
Sincerely,
The gS team
I've encountered some type of problem. Please try your request later. We are deeply sorry for any inconvenience.
Sincerely,
The gS team


#!/bin/bash # (c) Stefan Trklja Countryman, 2019 # .▄▄ · ▄▄▄▄▄▄▄▄ .·▄▄▄ # ▐█ ▀. •██ ▀▄.▀·▐▄▄· # ▄▀▀▀█▄ ▐█.▪▐▀▀▪▄██▪ # ▐█▄▪▐█ ▐█▌·▐█▄▄▌██▌. # ▀▀▀▀ ▀▀▀ ▀▀▀ ▀▀▀ # ▄▄· ▄• ▄▌ ▐ ▄ ▄▄▄▄▄▄▄▄ ▄· ▄▌• ▌ ▄ ·. ▄▄▄· ▐ ▄ # ▐█ ▌▪▪ █▪██▌•█▌▐█•██ ▀▄ █·▐█▪██▌·██ ▐███▪▐█ ▀█ •█▌▐█ # ██ ▄▄ ▄█▀▄ █▌▐█▌▐█▐▐▌ ▐█.▪▐▀▀▄ ▐█▌▐█▪▐█ ▌▐▌▐█·▄█▀▀█ ▐█▐▐▌ # ▐███▌▐█▌.▐▌▐█▄█▌██▐█▌ ▐█▌·▐█•█▌ ▐█▀·.██ ██▌▐█▌▐█ ▪▐▌██▐█▌ # ·▀▀▀ ▀█▄▀▪ ▀▀▀ ▀▀ █▪ ▀▀▀ .▀ ▀ ▀ • ▀▀ █▪▀▀▀ ▀ ▀ ▀▀ █▪ usage() { cat <<<' BIO: stc.sh [-h]
I'm a physics Ph.D. candidate at Columbia University in Szabolcs Marka's group working on multi-messenger astrophysics (MMA) using gravitational waves (GW) and high energy neutrinos. I wrote and maintan LLAMA, a cutting-edge MMA search pipeline and software framework implementing the world's first GW+neutrino online search pipeline. I have also worked extensively on LIGO's timing system hardware and diagnostic software as well as education and outreach.
In the late Initial LIGO and early (O1) Advanced LIGO eras, my team spearheaded the first GW/neutrino offline searches. During aLIGO's second observing run (O2), I took their method online by creating a software framework, LLAMA (Low-Latency Algorithm for Multi-messenger Astrophysics), for conducting this GW/neutrino search and disseminating results in low-latency. LLAMA was the world's first fully-automated low-latency GW/neutrino search pipeline and the first automated GW follow-up search to include spatial priors in its calculations. It proved to be highly reliable and was regularly the fastest GW follow-up search to run during O2. Follow-up with IceCube high-energy neutrinos was performed for all LIGO/Virgo O2 triggers, including historic kilonova GW170817; sub-threshold joint triggers overlapping with the original 1-detector GW skymap were successfully distributed and followed up by some EM partners, but improved GW skymap localizations showed a non-coincidence. The LLAMA framework was also used during O2 to run critical diagnostic checks of LIGO's timing system. It processed public triggers and demonstrated the ability to process LIGO sub-threshold triggers as well (though actual significance and plotting steps could not performed on sub-threshold triggers without code review). I used an advanced architecture, cloud-hosting solutions, and other advanced devops practices (which are only now becoming standard practice in MMA efforts) to achieve its exceptional performance.
For O3, my team and I developed an improved Bayesian significance calculation for our pipeline that uses other astrophysical source data to boost sensitivity. This search method relies on a general Bayesian odds ratio which can be readily extended to other messenger types and 3+ detectors. During this time, I also added extensive reliability and performance improvements and wrote a highly performant multi-resolution HEALPix math library to ensure that LLAMA could run quickly and reliably with arbitrary spatial-prior-motivated core significance calculations. This was done to ensure that the new Bayesian method would work for GW/neutrino searches as well as any extensions added during O3. LLAMA has been running with the new code during O3, regularly finishing in less than a minute from GW trigger generation time (though IceCube result dissemination time has been longer due to humans-in-the-loop).
Throughout this time, I gained highly extensive expertise in software development/operations methods and and astrophysics infrastructure by creating software tools in support of my entire team's scientific goals (many of these tools can be found in these three repositories). I developed advanced software for data retrieval, caching, validating, cleaning, and formatting, all highly non-trivial tasks due to LIGO's large data volumes and limited infrastructure. This also required developing virtual machines, cloud-hosted images, provisioning scripts, and extensive documentation to cope with the tremendous operational complexity of using constantly-changing experimental (in all senses of the word) scientific libraries with limited support and documentation. My teammate Rainer Corley and I extensively documented the photodiode layout of the Interferometer Sensing and Control (ISC) system (a crucial susbsytem used for scientific data collection and interferometer control) and created an interactive installation map showing the layout and operation of the whole system. I many other contributions to detector operations, like making useful LIGO tools available on MacPorts and adding control interfaces to LIGO's EPICS/MEDM industrial control system. I also used my technical expertise to make modest non-astrohysics contributions to to my group's public health efforts. (Much of my publically-available work is linked above; some of the rest is spread across DCC, ArXiV, BitBucket, and my GitHub.)
I started working with the Marka group as an undergraduate at Columbia. During this time I contributed to the development of Advanced LIGO's timing system, which my group was building from scratch to address weaknesses in Initial LIGO's commercially-built timing system. I debugged FPGA timing code; developed documentation and workflows for assembly, firmware-flashing, and testing; and personally assembled, tested, and shipped most of Advanced LIGO and KAGRA's timing system.
At the beginning of my Ph.D., I resumed my undergraduate work on LIGO's timing system. I developed diagnostic systems and software to ensure the timing system's reliability. This involved developing remote-work tools, devops methods (like virtual-machine images), installation documentation, maintenance procedures, and documentation that enabled timing system supervision from NYC. Thanks in large part to these efforts, my group has maintained the timing systems at both LIGO sites (this is no small accomplishment; the Columbia group is the only group that manages and maintains mission-critical LIGO hardware from off-site. The timing system has flawlessly through the Advanced LIGO era, enabling precise event reconstruction and source localization in support of LIGO's historic, Nobel-prize-winning detections. Japan's KAGRA GW detector will also rely on our proven timing system.
OPTIONS: -h Print this help string. ' exit 0 } for opt in "$@"; do [[ "${opt}" = "-h" ]] && usage; done # launch repl or compile and launch website. stef_shell \ --github "${GITHUB}" \ --bitbucket "${BITBUCKET}" \ --conda "${CONDA}" \ --docker "${DOCKER}" \ --llama "${LLAMA}" \ --resume "${RESUME}" \ --blog "${BLOG}" \ --dept "${PHYS_DEPT}" \ --contact "${CONTACT}" \ --portrait "${PORTRAIT}" \ --projects "${PROJECTS}" \ --ligo_data_grid "${LIGO_DATA_GRID}" \ --dcc "${DCC_DOCUMENTS}" \ --hn "${HN}" \ --fortunefile "${FORTUNEFILE}" \ --publications "${PUBLICATIONS}" print_version() { cat <<__OTACON # ▄▄▀▀▀▄▄▄▀▀▀▀▀▀▀▀▄▄ # ▄▀ █ ▀▄ # ██ ▄▄▄ █ ▄▄▄ █ # █ █ ██▀▀▀█▄ ▀▀▀▀▀█ █ # ▀█▀▀ ▄█ █ █ █ # █▀▀▀ █ ▄█▄█▀ █ # █ █▄▄▄▄▄ ▄▄▄▄▄▀▄ █ # ▀▄ ▄██ ▄ █▀▀█ ██ ▄▀ # ▀█ ██ ▀ █ █ ▀▀▀ ██▀█ ▀▄▄ # ▀▄ █▀▀▀▀▀ █ ▀▀▀▀▀█ ▄███▀ # ███ █ ███▀ # ████ █▄▄ ████▄ # ████▄ ▄▄▄▄▄▄▄▄ ▄████ # ▄▄▄ ▀▀██ ██▀▀ # █ █ ██ ██ # ▄▄▄█▄▄▀▄ █ ██ # ▄▀ █ █▄▄▀ █▀█▀▀▀█ █ ▀▄ # █▄ ▀▀▀▀█ █ ▀ █ █ █ █ ▀▀▄ # █ ▄▄▄█ █ ▄▄██ █ █ ██▀▄ ▀▄ # ▀█ █▀▀ █ ▀█ █▀ █ █▀▀ █ # ▀▀▀▀▀ █ █ █▄▀▀▀█ ▄▀ # █ █▄▄▄█▀▀ ▀▄▄▀ # █ █████▄ ▄▀ # █▄▄▄██▀██▄███ # ██ ██ # ██ ▀██ # ▄██ ██ # ██ ██ # ██ ▀██ # ██ ██ # ▀▀▀ ▀▀ # stef_shell running on ◬SPRITE VER.2.21 __OTACON
# old website deprecated, UI was too advanced for user tastes; click
# through to see my take on the eclectic, rarely-updated professorial
# website style. There are actually some useful links in there as
# well.
# old_website --please-stop=true


cma.experimentation
module documentationcma
| Class | CompactGA | Randomized search on the binary domain {0,1}^n. |
| Class | BestSolution | Helper class to keep track of the best solution (minimization). |
| Class | BlankClass | a blank container for (Matlab-like) out-of-the-box attribute access |
| Class | ClassFromDict | set class attributes from a dict |
| Function | down_sample | return (index, x_down) if y is None, else (x_down, y_down). |
| Function | step_data | return x, y for pyplot.step ECDF of input x -data |
| Function | sp1 | return the "average" of data in a under the assumption that non-finite entries contribute the same as the average finite entry and resampling is applied to get a finite entry. |
| Class | Results | a container to communicate (changing) results via disk and with backups (of all data) in each step. |
| Class | DataDict | A dictionary with a parameter value, e.g. dimension, as keys and a list/sequence of results, e.g. runtimes, as value for each key. |
return (index, x_down) if y is None, else (x_down, y_down).
Example: plot(*down_sample(mydata))
return the "average" of data in a
under the assumption that
non-finite entries contribute the same as the average finite entry
and resampling is applied to get a finite entry.
This measure has been called Q-measure or success performance one. It is computed as the sum of all finite entries devid


Salahe
Home
Signin
Signup
Home
Signin
Signup
Current location
Restaurants
Movies
Shopping
Packers and Movers
Title


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.apache.xpath.compiler.OpMapVector
public class OpMapVector
Like IntVector, but used only for the OpMap array. Length of array is kept in the m_lengthPos position of the array. Only the required methods are in included here.
| Field Summary | |
|---|---|
protected int |
m_blocksize
Size of blocks to allocate |
protected int |
m_lengthPos
Position where size of array is kept |
protected int[] |
m_map
Array of ints |
protected int |
m_mapSize
Size of array |
| Constructor Summary | |
|---|---|
OpMapVector(int blocksize,
int increaseSize,
int lengthPos)
Construct a OpMapVector, using the given block size. |
| Method Summary | |
|---|---|
int |
elementAt(int i)
Get the nth element. |
void |
setElementAt(int value,
int index)
Sets the component at the specified index of this vector to be the specified object. |
void |
setToSize(int size)
|
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
protected int m_blocksize
protected int[] m_map
protected int m_lengthPos
protected int m_mapSize
| Constructor Detail |
|---|
public OpMapVector(int blocksize, int increaseSize, int lengthPos)
blocksize
- Size of block to allocate| Method Detail |
|---|
public final int elementAt(int i)
i
- index of object to get
public final void setElementAt(int value, int index)
value
- object to setindex
- Index of where to set the objectpublic final void setToSize(int size)
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Welcome to the arena, [[${session.user.username}]]
User, you don't have a hero. Click below and create one.
Create hero
User, already have a hero.
Fight


‘Relaxed hair’ is a term employed widely throughout the African community to indicate hair which has been permanently straightened by means of a chemical product also known as a hair relaxer. Whereas ‘natural hair’ refers to hair that has not been permanently straightened.
At my hair salon not long ago, I was asked why I decided to go natural - what was it that made me forgo relaxed hair, which is relatively easier to manage. I thought of saying that it was because I wanted healthier hair, or that I wanted my African roots on full display. Neither would have been entirely true on their own. What really inspired me was the natural hair movement that was in spring, which combined the two. I wanted in.
Before deciding to make this transition, my relaxed hair was about thirteen inches long and for someone who had sported short hair through their teenage years, this was a big deal. Once I left university, several years ago now, I discovered the fledgling movement in the USA. This involved pictures and videos of African-American women chopping off their relaxed hair in defiance to the Western ideal that straight, sleek hair is better than the alternative; an idea that they too may have once subscribed to. Most importantly, they were embracing their natural God-given hair and encouraging other black women to do the same. While I found this movement very fascinating and sympathised with their cause, I couldn’t bring myself to shave off my hair for two reasons.
To explain the first one, let me take you back to my school days where school rules and regulations required every student to have a shaved head. Meaning that I was practically bald for at about seven years. Later on then, as my hair grew to shoulder length, it is no surprise that I was reluctant to let go of all that progress and return to ground zero.
Secondly, when I was in primary school my natural hair was such a chore to manage because there wasn’t enough information at that time about how to deal with natural hair. Most hairdressers would just end up relaxing your hair according to their training. My mum however was adamant—she would not allow her children’s hair to be contaminated with the harsh chemicals in hair relaxers. It didn’t matter how much I pleaded with her. I had two options: either to cut off the hair completely, or deal with the incompetence of my local hairdressers. I opted for the latter, which meant many painful tears at the hair salon. Naturally I looked forward to becoming an adult so that I could have the sleek, pain-free hair I’d always dreamed of. Although I admired the courageous ladies who were shaving off their hair online, I balked at the idea of going back to the struggle of my preteens.
As the natural hair movement gained traction, some companies took advantage of its spring to start marketing hair products which catered specifically to kinky, curly hair - as is often the state of natural hair. It wasn’t long before these particular products were as commonplace as the chemical hair straightening ones in your local Afro-hair shop. There also developed a knowledge pool of what products worked best for people with different curl patterns and hair porosity levels.
Armed with this new knowledge and the wealth of new hair products to choose from, I had no doubt that managing my natural hair wouldn’t be a painful exercise and I was spoiled for choice when I needed to buy the right products for my hair. It just so happened that at about this time my younger sister had begun growing an afro and her hair looked healthy and luscious. Everything was urging me to take the plunge, or the chop.
Because I didn’t want to shave off all my hair again, I decided to wait until I had a few months of new growth before cutting off what was left of my relaxed ends. The whole exercise was fairly painless, except for the sadness I felt at having to let all that hair go. Thankfully, this was soon superseded by the enjoyment that I found in looking after my hair. It was growing quicker than I ever remembered and it was very thick. Due to its unique texture, it was fertile ground for a variety of hairstyles. I took full advantage of this and my colleagues almost couldn’t recognise me every Monday morning as I turned up with a different hairstyle each time.
Predictably, the road hasn’t been easy, time and money having been the two biggest obstacles. I have spent countless hours researching hair products and finding a care routine that best fits me, which has involved plenty of purchases as I sifted through what did and didn’t work.
With these matters sorted, I put more time into finding an adequate hair salon that could put my routine into practice. Of course this was more costly than doing it all by myself, but it would also take twice as much time, and one hundred percent more energy.
To this day I am still enjoying my hair’s natural beauty, so much so that I don’t feel like I need to have it permanently straightened again. Three years in, I haven’t even had to flat-iron it. To those who’re still on fence about taking the natural route—if my own experience is anything to go by, you’ll be happier for it. But do some research first, considering your own personal needs. Happy chopping!
Receive new posts straight to your inbox.


SCSI Standard Inquiry data structure. More...
#include <spc_protocol.h>
Data Fields | |
| uint8_t | pq_pdt |
| Periph Qual / Periph Dev Type. | |
| uint8_t | flags1 |
| Flags (byte 1). | |
| uint8_t | version |
| Version. | |
| uint8_t | flags3 |
| Flags (byte 3). | |
| uint8_t | addl_len |
| Additional Length (n-4). | |
| uint8_t | flags5 |
| Flags (byte 5). | |
| uint8_t | flags6 |
| Flags (byte 6). | |
| uint8_t | flags7 |
| Flags (byte 7). | |
| uint8_t | vendor_id [8] |
| T10 Vendor Identification. | |
| uint8_t | product_id [16] |
| Product Identification. | |
| uint8_t | product_rev [4] |
| Product Revision Level. |
SCSI Standard Inquiry data structure.
Definition at line 62 of file spc_protocol.h.
Additional Length (n-4).
Definition at line 94 of file spc_protocol.h.
Flags (byte 1).
Definition at line 82 of file spc_protocol.h.
Flags (byte 3).
Definition at line 90 of file spc_protocol.h.
Flags (byte 5).
Definition at line 96 of file spc_protocol.h.
Flags (byte 6).
Definition at line 98 of file spc_protocol.h.
Flags (byte 7).
Definition at line 104 of file spc_protocol.h.
Periph Qual / Periph Dev Type.
Definition at line 63 of file spc_protocol.h.
Product Identification.
Definition at line 110 of file spc_protocol.h.
Product Revision Level.
Definition at line 111 of file spc_protocol.h.
T10 Vendor Identification.
Definition at line 109 of file spc_protocol.h.
Version.
Definition at line 84 of file spc_protocol.h.


You and another user online want to set two of your friends up on a date. For each of your friends, you know their favorite hobby and their location/time preferences. Find the best match by chatting with your partner and finding the pair of friends who have the most in common! (Hint: There's exactly one pair that has all three in common.)
Instructions
- Please use natural sentences as much as possible.
- Do: i have 3 friends who like graffiti and being outdoors
- Don't do: 3 graffiti outdoors
- Avoid simply listing out the hobbies (or preferences) of your friends.
- Look at your list of friends at right.
- Use the chat box below to find out more about your partner's friends.
- Once you've found the pair, select your friend by clicking Select in the first column.
- Please select carefully. If you select a friend once, the website will not allow you to select another friend for 10 seconds.


--- title: Welcome to Transformer Reinforcement Learning (trl) keywords: fastai sidebar: home_sidebar summary: "Train transformer language models with reinforcement learning." description: "Train transformer language models with reinforcement learning." ---
With trl
you can train transformer language models with Proximal Policy Optimization (PPO). The library is built with the transformer
library by 🤗 Hugging Face (link). Therefore, pre-trained language models can be directly loaded via the transformer interface. At this point only GTP2 is implemented.
Highlights:
Fine-tuning a language model via PPO consists of roughly three steps:
This process is illustrated in the sketch below:
Figure: Sketch of the workflow.
Install the library with pip:
pip install trl
If you want to run the examples in the repository a few additional libraries are required. Clone the repository and install it with pip:
git clone https://github.com/lvwerra/trl.git
cd tlr/
pip install -r requirements.txt
If you run Jupyter notebooks you might need to run the following:
jupyter nbextension enable --py --sys-prefix widgetsnbextension
For Jupyterlab additionally this command:
jupyter labextension install @jupyter-widgets/jupyterlab-manager
# imports
import torch
from transformers import GPT2Tokenizer
from trl.gpt2 import GPT2HeadWithValueModel, respond_to_batch
from trl.ppo import PPOTrainer
# get models
gpt2_model = GPT2HeadWithValueModel.from_pretrained('gpt2')
gpt2_model_ref = GPT2HeadWithValueModel.from_pretrained('gpt2')
gpt2_tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
# initialize trainer
ppo_config = {'batch_size': 1, 'forward_batch_size': 1}
ppo_trainer = PPOTrainer(gpt2_model, gpt2_model_ref, **ppo_config)
# encode a query
query_txt = "This morning I went to the "
query_tensor = gpt2_tokenizer.encode(query_txt, return_tensors="pt")
# get model response
response_tensor = respond_to_batch(gpt2_model, query_tensor)
response_txt = gpt2_tokenizer.decode(response_tensor[0,:])
# define a reward for response
# (this could be any reward such as human feedback or output from another model)
reward = torch.tensor([1.0])
# train model with ppo
train_stats = ppo_trainer.step(query_tensor, response_tensor, reward)
For a detailed example check out the notebook Tune GPT2 to generate positive reviews, where GPT2 is fine-tuned to generate positive movie reviews. An few examples from the language models before and after optimisation are given below:
Figure: A few review continuations before and after optimisation.
This library is built with nbdev
and as such all the library code as well as examples are in Jupyter notebooks. The following list gives an overview:
index.ipynb
: Generates the README and the overview page.00-core.ipynb
: Contains the utility functions used throughout the library and examples.01-gpt2-with-value-head.ipynb
: Implementation of a transformer
compatible GPT2 model with an additional value head as well as a function to generate sequences.02-ppo.ipynb
: Implementation of the PPOTrainer used to train language models.03-bert-imdb-training.ipynb
: Training of BERT with simpletransformers
to classify sentiment on the IMDB dataset.04-gpt2-sentiment-ppo-training.ipynb
: Fine-tune GPT2 with the BERT sentiment classifier to produce positive movie reviews.05-gpt2-sentiment-control.ipynb
: Fine-tune GPT2 with the BERT sentiment classifier to produce movie reviews with controlled sentiment.


Register As New Author
Login Details
Username :
*
Password :
*
Confirm Password :
*
Email:
*
Personal Details
Title:
Select Title
'.$row[salutationName].'' ; } ?>
First Name:
*
Middle name:
Last Name:
*
Degree:
*
Designation:
*
Speciality:
*
-----Select Speciality-----
'.$row3[specialityName].''; } ?>
Primary Address
Institution:
*
Department:
*
Country:
*
-----Select Country-----
'.$row2[countryName].''; } ?>
State/Province:
*
-----Select State-----
City:
*
-----Select City-----
Address:
*
Pin Code:
*
* Only Input Digit and PIN Code
Country Code:
*
-----------Country Code----------
=$rowCode['countryCode']?>
* Only Input Mobile and Phone No.
Phone:
*
* Only Input Mobile and Phone No.
Upload CV:
(Only doc,docx,pdf file formats)
Upload your Resume/CV. Please do not Upload your manuscript here. Once you Complete your Registration. Please visit to Author Dashboard to submit manuscript.
Submit
OTP Verification
Please enter your one time password.
Verify OTP
Resend OTP


{% extends "base.html" %} {% load i18n static %} {% block content %}
Select your ice cream and enjoy yourself ;)


Drag blue block outside green and on top of reds.
Note that green restraint has 5px padding, and left red obstacle has 5px margins.
The collisions between blue and red are hilighted in turquoise and contain the directionData for the collision.
The protrusions of blue from within green are bordered in black and contain the directionData for the protrusion.


Who is this appointment for?
PATIENT INFO (AS IN PASSPORT):
Name: Middle Name: Last Name: Gender: Male. Female.
Birthday:


- OfferTradeActivity - Class in cmput301t4.gameswap.Activities
-
Offer trade to other users who are friends
- OfferTradeActivity() - Constructor for class cmput301t4.gameswap.Activities.OfferTradeActivity
-
- offerTradeClicked(View) - Method in class cmput301t4.gameswap.Activities.OfferTradeActivity
-
Called when the user attempts to offer trade to another trader
- onActivityResult(int, int, Intent) - Method in class cmput301t4.gameswap.Activities.AddItemActivity
-
after taking a photo, displays the resulting image taken
- onActivityResult(int, int, Intent) - Method in class cmput301t4.gameswap.Activities.EditItemActivity
-
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.AddItemActivity
-
Called when the activity is first created
It creates the UI and initializes the spinners
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.CancelCreateTradeActivity
-
This is called when the activity is first created
It initializes all the list views, adapters, and variables
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.CreateProfileActivity
-
User registers
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.DecideTradeActivity
-
User decides if they want to accept, reject, or
make a counter trade
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.EditItemActivity
-
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.EditProfileActivity
-
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.FriendInventoryActivity
-
Grabs friend inventory items and displays them
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.FriendProfileActivity
-
Sets the friend profile page with their information
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.MainActivity
-
Creates the main page of the app
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.MineInventoryActivity
-
Grabs infromation about user inventory and displays it in this activity
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.myInventoryActivity
-
displays user inventory, perform action on item depending on the option selected
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.MyProfileActivity
-
Displays user personal information about the user
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.OfferTradeActivity
-
Called when the activity is first called and gathers necessary info to display
on this activity
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.SearchFriendActivity
-
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.SelectFromFriendInventoryActivity
-
Called whent the activity is first created
Grabs friend inventory items and displays them
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.selectTaskActivity
-
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.TradesActivity
-
Called when the activity is created
Collects current trades and past trades and displays them on this activity page
- onCreate(Bundle) - Method in class cmput301t4.gameswap.Activities.ViewItemActivity
-
Called when this activity is first created
Collects all the information of the item selected and displayes it on this
activity
- onCreateOptionsMenu(Menu) - Method in class cmput301t4.gameswap.Activities.SearchFriendActivity
-
- onCreateOptionsMenu(Menu) - Method in class cmput301t4.gameswap.Activities.selectTaskActivity
-
- onItemSelected(<any>, View, int, long) - Method in class cmput301t4.gameswap.Activities.AddItemActivity
-
A necessary function that must be added to choose the item in the spinner
- onItemSelected(<any>, View, int, long) - Method in class cmput301t4.gameswap.Activities.EditItemActivity
-
A necessary function that must be added to choose the item in the spinner
- onNothingSelected(<any>) - Method in class cmput301t4.gameswap.Activities.AddItemActivity
-
A necessary function to implement spinners if nothing is chosen
- onNothingSelected(<any>) - Method in class cmput301t4.gameswap.Activities.EditItemActivity
-
Called when nothing is clicked
- onOptionsItemSelected(MenuItem) - Method in class cmput301t4.gameswap.Activities.SearchFriendActivity
-
- onOptionsItemSelected(MenuItem) - Method in class cmput301t4.gameswap.Activities.selectTaskActivity
-
- onResume() - Method in class cmput301t4.gameswap.Activities.OfferTradeActivity
-
- onResume() - Method in class cmput301t4.gameswap.Activities.SearchFriendActivity
-
- onResume() - Method in class cmput301t4.gameswap.Activities.TradesActivity
-
- onStart() - Method in class cmput301t4.gameswap.Activities.myInventoryActivity
-
Refreshes user inventory page by grabbing new data
- openFriendsButton(View) - Method in class cmput301t4.gameswap.Activities.selectTaskActivity
-
Button to search for friends
- openInventoryButton(View) - Method in class cmput301t4.gameswap.Activities.selectTaskActivity
-
Button to view user inventory
- OwnerSideContian(Item) - Static method in class cmput301t4.gameswap.Managers.CreateTradeManager
-
Checks if the owner has that item in their inventory


All Files (100.0% covered at 2.16 hits/line)
8 files in total.
169 relevant lines.
169 lines covered and
0 lines missed
| File | % covered | Lines | Relevant Lines | Lines covered | Lines missed | Avg. Hits / Line |
|---|---|---|---|---|---|---|
| lib/journey.rb | 100.0 % | 38 | 22 | 22 | 0 | 2.9 |
| lib/journeylog.rb | 100.0 % | 9 | 4 | 4 | 0 | 1.0 |
| lib/oystercard.rb | 100.0 % | 51 | 28 | 28 | 0 | 2.8 |
| lib/station.rb | 100.0 % | 19 | 9 | 9 | 0 | 7.2 |
| spec/journey_spec.rb | 100.0 % | 79 | 39 | 39 | 0 | 1.2 |
| spec/journeylog_spec.rb | 100.0 % | 21 | 5 | 5 | 0 | 1.0 |
| spec/oystercard_spec.rb | 100.0 % | 101 | 55 | 55 | 0 | 1.7 |
| spec/station_spec.rb | 100.0 % | 14 | 7 | 7 | 0 | 1.3 |


{% extends "layout.html" %} {% block page_title %} Hackney - Maintain My Home {% endblock %} {% block content %} Maintain My Home Request a repair Step 1 - Name and address Full name Postcode Search your address by postcode For example, ‘E2 7NX’. {% endblock %}


Interested in Contributing?
- Check out available resources.
- Create an account and start submitting your own systems.
Scored Systems
| System | Submitter | System Notes | Constraint | Run Notes | BLEU | BLEU (11b) | BLEU-cased | BLEU-cased (11b) | TER | z BLEU-cased-norm | zz BEER 2.0 | zzz CharactTER |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LIUM EN-FR 2011 (Details) | LIUM LIUM, University of Le Mans |
Phrase-based system augmented with automatic translations of the monolingual news corpus and a bitext retrieved by IR methods. Rescoring with a continuous space language model. | no |
31.2 |
31.2 |
30.2 |
30.2 |
0.586 |
||||
| LIMSI-Ncode-Constrained-Primary (Details) | allauzen LIMSI-CNRS |
an open source statistical machine translation system based on bilingual n-grams. | no | Primary submission. N-best rescoring with SOUL Language model. |
31.1 |
31.1 |
30.2 |
30.2 |
0.587 |
|||
| Phrase-based MT System (Primary) (Details) | KIT Karlsruhe Institute of Technology |
Phrase-based SMT system Constraint condition using Giga Corpus | no |
30.9 |
30.9 |
29.9 |
29.9 |
0.582 |
||||
| LIMSI-Ncode-Constrained-Contrast1 (Details) | allauzen LIMSI-CNRS |
an open source statistical machine translation system based on bilingual n-grams. | no | Constrast run 1 |
30.5 |
30.5 |
29.5 |
29.5 |
0.595 |
|||
| jhu-hiero (Details) | jhu Johns Hopkins University |
Translation model: europarl and news, UN and 10^9 subsampled against dev (newstest2008) devtest (newstest2009) for MERT (700K sentences, 16M words) and test for decoding (1.2M sentences; about 20M words) in each language. Aligned using Giza++. Hiero grammar extracted with Thrax (http://github.com/jweese/thrax) with its standard 16 feature functions. 5-gram LM trained on the provided monolingual data except Gigaword (SRILM). MERT. Reranked 300-best using MBR. To recase, trained translation model with non-hierarchical rules of length up to 3, and a 5-gram cased LM. We submitted the 1-best recasing output detokenized with the provided script. | no | constrained, no gigaword |
30.4 |
30.4 |
27.9 |
27.9 |
0.596 |
|||
| RWTH-Jane-constrained-primary (Details) | mhuck RWTH Aachen University |
RWTH Aachen University English-French Jane (hierarchical phrase-based) system, primary submission (constrained) | no | constrained, with gigaword |
30.4 |
30.4 |
29.4 |
29.4 |
0.598 |
|||
| LIMSI-Ncode-Constrained-Contrast1 (Details) | allauzen LIMSI-CNRS |
an open source statistical machine translation system based on bilingual n-grams. | no | Constrastive experiments using paraphrases to increase the dev-set. |
30.1 |
30.1 |
29.1 |
29.1 |
0.598 |
|||
| UU-FBK WMT 2011 (Details) | chardmeier Uppsala universitet |
no | ep+nc+un+g159.nw11+g250+ldc.hreo.wdm-itthey-onlytagged.newslm-run20 |
30.0 |
30.0 |
29.1 |
29.1 |
0.610 |
||||
| RWTH-Jane-constrained-contrastive (Details) | mhuck RWTH Aachen University |
RWTH Aachen University English-French Jane (hierarchical phrase-based) system, contrastive submission (constrained) | no | constrained, with gigaword |
29.4 |
29.4 |
28.5 |
28.5 |
0.606 |
|||
| RWTH-PBT-constrained-contrastive (Details) | mhuck RWTH Aachen University |
RWTH Aachen University English-French PBT system, contrastive submission (constrained) | no | constrained, with gigaword |
29.3 |
29.3 |
28.4 |
28.4 |
0.605 |
|||
| UU-FBK WMT 2011 (Details) | chardmeier Uppsala universitet |
no | ep+nc+un+g159.nw11+g250.hreo |
29.3 |
29.3 |
28.4 |
28.4 |
0.623 |
||||
| UU-FBK WMT 2011 (Details) | chardmeier Uppsala universitet |
no | ep+nc+un.nw11+g250.hreo.wdm-itthey-onlytagged.newslm-run20 |
29.1 |
29.1 |
28.2 |
28.2 |
0.620 |
||||
| UU-FBK (Details) | jorgtied University of Helsinki |
Phrase-based SMT (constrained) | no | baseline run: trained on lower-cased data (News+EP+UN), separate LMs, selected data from giga (for LM only) |
29.1 |
29.1 |
27.4 |
27.4 |
0.605 |
|||
| uedin-wmt11-en-fr (Details) | Edinburgh University of Edinburgh |
no | Run 16 (normalised) |
29.0 |
29.0 |
28.1 |
28.1 |
0.609 |
||||
| UU-FBK WMT 2011 (Details) | chardmeier Uppsala universitet |
no | ep+nc+un+g159.nw11lm.hreo.wdm-itthey-onlytagged.newslm-run20 |
28.8 |
28.8 |
28.0 |
28.0 |
0.619 |
||||
| uedin-wmt11-en-fr (Details) | Edinburgh University of Edinburgh |
no | Run 16. |
28.7 |
28.7 |
27.8 |
27.8 |
0.609 |
||||
| UU-FBK WMT 2011 (Details) | chardmeier Uppsala universitet |
no | ep+nc+un.nw11lm.hreo.wdm-itthey-onlytagged.newslm-run20 |
28.7 |
28.7 |
27.8 |
27.8 |
0.618 |
||||
| UU-FBK WMT 2011 (Details) | chardmeier Uppsala universitet |
no | ep+nc+un+g159.nw11+g250.noreo.wdm-itthey-onlytagged.newslm-run20 |
28.3 |
28.3 |
27.5 |
27.5 |
0.634 |
||||
| UU-FBK WMT 2011 (Details) | chardmeier Uppsala universitet |
no | ep+nc+un+g159.nw11+g250.wbreo.wdm-itthey-onlytagged.newslm-run20 |
28.3 |
28.3 |
27.5 |
27.5 |
0.634 |
||||
| seal.en-fr (Details) | sealPasaLab NanJing University PASA lab |
Nanjing University Wenjia Yang<EMAIL_ADDRESS>Lixin Liu, Min Chen, Rong Gu | yes | seal newstest2011 en-fr |
25.0 |
25.0 |
20.7 |
20.7 |
failed |
20.7 |
||
| uk-dan (Details) | zeman Charles University in Prague, ┌FAL |
no | en-fr primary |
21.2 |
21.2 |
17.4 |
17.4 |
0.718 |
||||
| uk-dan (Details) | zeman Charles University in Prague, ┌FAL |
no | en-fr contrastive stc |
21.1 |
21.1 |
18.9 |
18.9 |
0.717 |
||||
| UU-FBK WMT 2011 (Details) | chardmeier Uppsala universitet |
no | primary submission, constrained, no LDC data ep+nc+un+g159.nw11+g250.hreo.wdm-itthey-onlytagged.newslm-run20 |
failed |
29.2 |
failed |
28.4 |
0.624 |
||||
| Its-LATL (Details) | LATLGeneva LATL - University of Geneva |
Rule-based MT system | no | Primary Run. Rule based MT System |
failed |
20.4 |
failed |
19.7 |
0.690 |


Kaffeine
fn = (opts = {}) { user = User.find! {id: nick} puzzle = Puzzle.find! {name: name} err, data = client.set! "u:#{user}:p:#{puzzle}" }
Javascript
Beautify
Maintain lines
Uglify


Contributors
Polly is developed by a team of students supported by different universities.People
Raghesh Aloor
Raghesh works on OpenMP code generation. He is funded as Google Summer of Code Student 2011.
Tobias Grosser
Tobias is one of the two Co-founders of Polly. He designed the overall architecture and contributed to almost every part of Polly. Polly was started during his diploma studies at University of Passau. Furthermore, he spent 6 months at Ohio State University (funded by the U.S. National Science Foundation through awards 0811781 and 0926688). From August 2011 he works on Polly, during his PhD with INRIA/UMPC/ENS (funded through a Google Europe Fellowship in Efficient Computing).
Website: www.grosser.es
Andreas Simbürger
Andreas works on the profiling infrastructure during his PhD at University of Passau.
Website: http://www.infosun.fim.uni-passau.de/cl/staff/simbuerger/
Hongbin Zheng
Hongbin Zheng is one of the two Co-founders of Polly. He was funded as a Google Summer of Code Student 2010 and implemented parts of the Polly frontends as well as the automake/cmake infrastructure.
Universities
Polly is supported by the following Universities.


+++ draft = false date = "2009-11-30T20:36:41-02:00" title = "A don't do for internationalizing Django templates" tags = ["rants", "cookbook", "Django"] created = "2009-11-30T20:29:32-02:00" modified = "2009-12-05T22:03:53-02:00" permaLink = "http://play.pixelblaster.ro/blog/archive/2009/11/30/a-dont-do-for-internationalizing-django-templates" author = "Tiberiu Ichim" aliases = [ "/blog/archive/2009/11/30/a-dont-do-for-internationalizing-django-templates" ] +++
I'm internationalizing a Pinax website and I've encountered this piece of code in a template:
<input type="submit" value="{% trans "invite" %}"/> {% blocktrans %}{{ other_user }} to be a friend.{% endblocktrans %}
The message ids for this code would be two separate blocks: "invite" and " %{other_user}s to be a friend". Both offer very little in terms of context and make the translators job difficult. Correct, in my point of view, would be the more convoluted form of:
{% blocktrans %} <input type="submit" value="invite"/> {{ other_user }} to be a friend. {% endblocktrans %}
This implies that the translators know enough HTML to notice that the value attribute needs to be translated, but the end result is a lot more flexible and provides real context to them.
TL;DR: don't split paragraphs into separate translation units. It's a NO-NO.
UPDATE: I have found what is probably the worst example of how to create a translatable template. Remember, don't assume the English language resembles anything like another language.
{% trans "edited by user" %} {{ obj.editor.username }} {% trans "at"%} {{ obj.modified|date:"H:i" }}
This should be done this way:
{% blocktrans with obj.editor.username as editor_username and obj.modified|date:"H:i" as obj_modified edited by user {{ editor_username }} at {{ obj_modified }} {% endblocktrans %}


Mother rescues missing daughter after spotting her on TV report about snow
A mother was able to rescue her missing daughter after seeing her appear in a TV report about snowy weather.
Jill Rosenow has been searching for her daughter Alice Crawford since she vanished from her home in North Dakota over the summer.
And she was stunned to discover that Alice had appeared on a TV news station in Denver, Colorado, late last month.
Alice, who was living on the streets of the Mile High City, told a crew that its freezing, snowy conditions were ‘death weather’ and that she feared for her safety.
Despite not having access to the TV station which broadcast the interview, Jill learned about the clip, and immediately jetted out to Denver.
Jill told 9News: ‘It was death weather. It was cold. She was cold.
Advertisement Advertisement
‘It broke my heart. I cried. Seeing my daughter on the streets, homeless … a mother is only as happy as her saddest child.
‘As you can imagine, I’m a train wreck. I cry. I think about her.
‘I don’t sleep at night. I just want her back. She needs to be safe.
‘She needs to be off the streets… It’s a mother’s worst nightmare.’
Jill and other relatives arrived in Denver from as far afield as California and Seattle, before chatting to the reporter who’d spoken to Alice in a bid to track her down.
They spent two days chatting to hundreds of people, and showing Alice’s photo to everyone who would listen.
Jill and her relatives were beginning to give up hope of finding Alice when they visited the city’s Union Station.
But they were reunited unexpectedly when Alice’s aunt Theresa Brown went to use the restroom, and heard Alice’s voice coming from a locked stall.
Theresa recalled: ‘It was really by accident, well, I had to use the restroom.
‘We walked into the restroom thinking it was empty and the last stall was occupied.
‘As I was getting ready to go into my stall, we heard her voice.’
Advertisement Advertisement
Jill was thrilled to see her daughter, who has battled drug addiction, and was covered in scabs after months on the street.
She said: ‘It was just over. Just like that. In a wonderful way it was over. The search was over.’
Alice has spent the last three days throwing up, but Jill is hopeful about her daughter’s future, and said: ‘She’s alive, and that counts for more than anything.’
Jill plans to get Alice into rehab as soon as her daughter is well enough to fly.
She and her family plan to take Alice out of their home state, so she can focus on sobriety without unhelpful distractions.


Many nosheries in Hangzhou are open every day. The famous chain restaurant Zhi Weiguan has a wide variety of snacks with relatively high prices. Meanwhile, there are some other restaurants with rather lower price and shares the most local taste of Hangzhou, just like Xinfeng Snacks.
In addition to these two old-fashioned food and beverage outlets, there are great nosheries in each district, street as well as the community.
Last weekend, my friend and I went to Pan-fried Buns with Beef in Houshi Street to have a try.
杭州很多小吃店都是全天开放的，有品种繁多价格也相对高一些的知味观，也有价格亲民富有最本土杭州味道的新丰小吃。除去这两个老牌餐饮店以外，其实每个区、街道、社区里面都有自己特别棒的小吃店。
趁着周末有空，我就和小伙伴摸到了这家后市街牛肉煎包(望江店)。
Speaking of pan-fried buns with beef, the foodies in Hangzhou must familiar with noshery that near Huimin Road Primary School in Hefang Street.
The proprietress’s voice is particularly loud with rather cold attitude. My mother and I would go there for lunch after watching the doctor in Hu Qing Yu Tang every time, for that I’ve been there for several times.
Most of the regular customers are the old neighbors around, but there are also some new faces who hear about the noshery and wanna to taste the legendary delicious pan-fried buns with beef. As a Internet celebrity noshery, I really have seen some foodies came here to eat by driving their Lamborghini cars.
About a years before, due to the centralized rectification of that block, the noshery was also faced with the situation of suspending business and moving to another site.
说起牛肉煎包，老杭州的食客们一定忘不了河坊街惠民路小学附近的那一家。老板娘嗓门特别响而且态度冷淡，我和妈妈每次看完中医以后路过进去吃，总会说感觉自己就是送上去讨骂的…
回头客大多是周围的老邻居，但是也不乏一些慕名而来的食客。就像很多网红店会用“开着兰博基尼来吃”的噱头，但是负责地说我真的见过开着豪车来这家牛肉煎包店领骂的客人。
后来由于那个区块集中整治，那家店也面临停业再择店址的处境。
The reason why I provide so many background about the noshery is mainly because we guess that the pan-fried buns with beef in Houshi Street is the relocation of the one in Huimin Road.
The decoration of the noshery is relatively stark, and the sanitary conditions seems not so good.
We ordered the pan-fried buns, the pan-fried dumplings and the beef soup. The customers will cost nearly 25-35 yuan for every person in the similar noshery in Shanghai, while we just spent 10-15 yuan per person in here.
之所以用那么多笔墨讲这些呢，主要是因为我们猜测后市街牛肉煎包(望江店)就是惠民路那家搬迁过来的。
店面里面的布置很简单，卫生条件只是说是一般吧。我们点了煎包、锅贴和牛肉汤，两个女孩子嘛胃口比较小，不想吃不完浪费。不像上海生煎包店动则人均25-30元的价位，杭州的这些小吃店人均10-15元就可以吃的很满足啦。
I personally prefer to eat the pan-fried dumplings, and I deliberately ask the server to give me the one that pan-fired even longer than the others. The crisp pasta as well as the juicy stuffing makes me feel in the paradise.
I ate the pan-fried dumplings before in Shanghai, and I feel the taste is a little bit strange, cuz they’re half salty and half sweet. Furthermore, the vinegar there combines sour as well as sweet, and I can’t get used to it.
However, I have to say that the spicy soy sauce that Shanghainese used when they’re eating fried pork chops is really special. You must try it if you have a chance to go to Shanghai.
我个人更喜欢锅贴多一些，特意让阿姨给了煎地焦一点的那种。一口咬下去酥脆的面皮和juicy的肉馅，实在是太幸福啦。
之前我在上海吃过生煎和锅贴，味道倒是不错，但是那甜不甜咸不咸的味道实在是太奇怪了…而且他们醋都是有点酸甜口的，还是觉得完全的咸味才吃起来更稳妥。不过我要说一句，上海专门拿来吃炸猪排的辣味酱油真的很特别，大家一定要试一试。
The best collocation with the pan-fried buns with beef is the beef soup. We don’t wanna to be glutted with food, so we just ordered the beef soup without bean vermicelli. I heard that the noodles mixed with lard is so tasty in this noshery.
There is also a unique soup which has sheep liver and lung in it, and my friends who have eaten it said that the taste is quite good. They prefer to pull some special pepper into the soup, which is able to reduce the feelings of greasy and made the guests have more appetite.
和牛肉煎包最搭配的，自然是牛肉汤啦。因为比较有饱腹感，我们没有要牛肉粉丝汤，不过还是很建议大家去尝一尝的。这家还有拌面也很值得一试，是最老底子的猪肉拌面，杭州人都很好这一口。
这里还有独有的羊肝羊肺汤，我不太敢喝所以没有点。听吃过的朋友说味道相当好，配上他们店里特调的胡椒面，既解腻又开胃。
本文首发于Steemit。谢谢大家的来看我的文章，如果您喜欢的话，请转发、留言或是点赞。你们的支持是我继续努力的最大动力，再次感谢～
Thank you for reading my articles. If you like me, plz forward, upvote me or leave your comments. Thx a looooooot~
This page is synchronized from the post: 【Vicky’s Food】Pan-fried Buns with Beef in Houshi Street 后市街牛肉煎包(望江店) 190426


Deadline: October 29, 2017
Submit: by web form
General rules: Read them carefully
Implement two versions of Splay trees, the classical one which uses double rotations and a naive version which uses only the simple rotation on the whole path from a splayed node to the root.
Examine the behaviour of both data structures on test data generated by the program described below. The test data starts by inserting N elements using operation Insert and then a sequence of operation Find follows. There are two types of such sequences:
Your task is to measure the average length of paths from the root to the given splayed node for each test data set.
Download the generator and run it with the following parameters:
-s XX
, where XX are the last two digits of your student ID;
-t T
, where T is the size of the searched subset;
-l
, if you want to ensure that the searched subset is at the end of the insertion sequence;
-b
, if you want to generate the sequential test.
The output of the generator is a text file. Each line specifies a single operation on the tree:
# N
: start a test for a set of size N – discard the previous tree and create a new one (the set size can be useful for plotting);
I X
: insert a key X to the tree (if the key is already present, ignore this operation);
F X
: search a key X in the tree.
A single call of the generator creates a sequence of tests ranging roughly from 1.000 to 1.000.000 elements.
For each of the two tests, draw a plot showing the dependence of the average path length of operation find on the size N:
Explain the shape of all curves and discuss differences of behaviour of both versions of trees.
# 3 I 1 I 2 I 0 F 1 F 0 F 2 # 4 I 2 I 3 I 0 I 1 F 2 F 0 F 2 F 3
It may not be clear when the argument -l
of the generator may be useful. Well, try to use it and observe its influence. It may help you to understand measured results.
Every test runs at most 6 minutes on our computer. If our program needs more than an hour, then try to find a better solution.


The Queen 'cancels' Prince Andrew's 60th birthday party following Newsnight interview fallout
The Duke of York is also stepping back from royal duties
by Entertainment DailyThe Queen has reportedly cancelled Prince Andrew's 60th birthday party following the dramatic fallout from the royal's disastrous Newsnight interview.
Her Majesty will be organising a small family dinner for his birthday on February 19 instead, according to the Sunday Times.
On Wednesday, the Duke of York announced he was stepping back from royal duties for the "foreseeable future" following the high-profile interview, which saw him discuss his relationship with convicted paedophile Jeffrey Epstein.
Read more: Prince Andrew 'let side down' over friendship with paedophile
According to reports, the Duke's daughter Princess Beatrice and ex-wife the Duchess of York both played a part in helping set the interview up.
The Mail on Sunday reports Sarah Ferguson was keen to put an end to any speculation surrounding Prince Andrew's relationship with Epstein.
However, while she had been abroad during meetings with the Newsnight team, Beatrice stepped in instead.
The Mail claims Beatrice and her father - along with Andrew's then-private secretary Amanda Thirsk - met Newsnight presenter Emily Maitlis three days before the interview.
Read more: Andrew Maxwell breaks down in tears and threatens to quit I'm A Celebrity
"Sarah [Ferguson] was abroad so Beatrice sat in on the discussions. Initially, Beatrice was sceptical that a television interview, which would inevitably delve into her father's private life, was such a good idea," a source is reported to have told the newspaper.
"She was asking lots of pertinent questions and had her doubts. But by the end of the meeting she was convinced by the Newsnight team and Amanda Thirsk that they had no choice – that it was the only way to put all the rumours behind them."
The publication claims Beatrice is now 'mortified' for allowing the interview to go ahead.
The Queen's second son said last week he was stepping back from royal duties after a host of businesses and charities severed ties with the Duke.
"It has become clear to me over the last few days that the circumstances relating to my former association with Jeffrey Epstein has become a major disruption to my family's work and the valuable work going on in the many organisations and charities that I am proud to support," his statement read.
"Therefore, I have asked Her Majesty if I may step back from public duties for the foreseeable future, and she has given her permission. I continue to unequivocally regret my ill-judged association with Jeffrey Epstein."
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think of this story.


Archive
2014
March
- March 21, 2014 » JS pointers, globals, and garbage... gotchas.
- March 11, 2014 » I built a javascript framework for view management in responsive applications... check it out!
February
- February 11, 2014 » [SOLVED] Arch Linux - pacman - ERROR - invalid or corrupted package (PGP signature)
2013
December
- December 13, 2013 » TypeError - Cannot call method "log" of undefined meet smarter_console.js
July
- July 13, 2013 » ThinkPad - Linux - Scrolling after reboot
- July 11, 2013 » easy ejabberd clustering (multi-master, fault tolerant, failover)
June
February
- February 13, 2013 » Strophe.js -> disconnect on page unload
2012
December
- December 6, 2012 » Batch file renaming, extension changing (bash, find, & awk)
November
- November 17, 2012 » easy ejabberd clustering guide (mnesia, mysql, & postgres)
May
- May 7, 2012 » 12.04 - Ubuntu/Linux Audio Skipping/Stuttering
April
- April 19, 2012 » Linux simple h264 batch conversion
- April 1, 2012 » If you can get Nyan Cat into the servers MOTD you’re more than welcome to do so… CHALLENGE ACCEPTED
February
- February 14, 2012 » Booting OS X with Grub2
2011
December
- December 15, 2011 » Bash'isms (SVN+Awk+Grep+Cut+Bash one liners)
April
- April 21, 2011 » Ubuntu / Debian - List software from repository
January
- January 4, 2011 » VTech Pre-Computer Power Pad ... I love thee.
2010
July
- July 21, 2010 » Ubuntu 10.04 Netbook Remix - Disable UNR Launcher
- July 14, 2010 » Quickly search your bash history using arrow keys
February
- February 8, 2010 » str_replace & Fatal error - Only variables can be passed by reference
January
- January 25, 2010 » An effective JavaScript & CSS cache busting technique
2009
November
- November 24, 2009 » Flex Security sandbox violation
May
- May 26, 2009 » have a Netbook?... want solid Linux support?...
- May 21, 2009 » SharedObject.flush() the silent killer.
- May 21, 2009 » nerd.com … office sport vanguards.
- May 11, 2009 » AS3/Flex 3 ArrayCollection Copy/Duplication
April
- April 15, 2009 » a gift from the guys at work.
- April 15, 2009 » does it look like a box!?
March
- March 26, 2009 » Yours truly competing in our “Office Olympics” High Jump competition.
- March 26, 2009 » Flex 3 textarea buffering/trimming


Description
Node-RED is an At-Large project under the OpenJS Foundation umbrella. At-Large projects are ones deemed by the OpenJS Cross Project Council (CPC) to be important or impactful to the overall JavaScript ecosystem.
Since the middle of 2021, Node-RED's showcase of users has grown to over 30 companies, and as JavaScript enters its next 25 years, there's more growth ahead for Node-RED.
Node-RED has heard direct feedback from some contributors that being part of the OpenJS Foundation was a key factor in their decision to use Node-RED and engage with the project and wider community. (Reference: Why Satisfying User Needs Is Not a Zero-Sum Game – An Interview with Nick O’Leary, Node-RED)
The OpenJS Foundation helps through programs that support the stability and adoption of Code-RED globally.


MIDI Tuning Standard
Patch Editor
This is a tool designed to make create different tunings and scales and to upload them to and request them from synthesizers which support the MIDI Tuning Standard (or MTS). You can save your tunings as sysex patches.
Communicating with Edisyn
Synthesizers which adhere to MTS all have a device number. You must set the Synth ID in Edisyn's MIDI Devices window (see the "Change MIDI" menu) to be the same as your synth's MTS device number.
About the Tuning Dials 0 ... 127
MTS assigns a pitch to every MIDI note value from 0...127. Each of these knob pairs represents the frequency to assign to that value.
You compute the pitch by choosing an original note from the 12-tone-equal-temperment (A4-440hz standard modern western tuning) as well as an offset in cents from 0-99.99 above that note. Your resolution in cents is 100/216. The editor's dials allow you to manually input these values, but this is not the recommended way to set them. Instead, the Tuning menu option has utilities for calculating these knobs in bulk.
Tuning Utilities
The Tuning menu gives access to various utilities to make it easy to set different common tunings.
Load Scala File...
You can load tunings in the popular Scala format. These files end in ".scl" or ".SCL". Scala tunings are relative: you'll also need to specify what the Root MIDI Note and Root Frequency are.
EDO
EDO stands for Equal number of Divisions per Octave, commonly known as Equal Temperament. You'll also see the acronyms "ET" or "TET". Standard western tuning is EDO with A4 (MIDI note 69) set to 440hz, and 12 divisions per octave. Other tunings have their advantages and disadvantages: a good summary of the topic can be found on Wikipedia.
The calculate button gives the frequency of the selected MIDI number in standard western tuning, but feel free to use any positive number for frequncy for any MIDI note number as your root. All it is saying is "I want MIDI number X from my controller to correspond to frequency Y and to tune the rest of the notes using equal temperment with Z divisons per octave."
Named Scales
These are scales that are either popular or notable enough to be named. You can find out more about them on Wikipedia. Many of these scales are standard scales found in the tuning presets on Yamaha 4-operator synthesizers such as the TX81Z. They are set up much in the same way that you set up EDO above.
Requesting from and Sending to the Yamaha DX11/TX81Z
The DX11 and TX81Z were introduced before the MIDI Tuning Standard, and so have their own (thankfully similar) tuning format. The TX81Z can store a single user slot for tuning information, and it also has several preset tunings. Though it does not discuss this in the manual, it is my understanding that the DX11 also has the user tuning slot as well. You need to make sure you have your MIDI channel set up properly in order to send or request tuning information.
It is possible that other Yamaha 4-op synthesizers provide microtuning options, but we are not aware of them.
Gotchas
The MIDI Tuning Standard allows writing to and requesting patches. You cannot write to or request from current memory. To do this, Edisyn simply writes to or reads from Patch 0. If you have a synthesizer which saves to Flash RAM, you shouldn't do something like the Morpher or Hill-Climber etc. which would repeatedly write patches over and over and over again -- it'll stress your RAM. Otherwise it's just fine.
| By
| V. Hoyle
With Sean Luke
|
| Date
| April 2020
|


// Select the universe on a specific date at a specific time AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.On(2013, 10, 7), TimeRules.At(13, 0), SelectSymbols)); // Select the universe 10 minutes after SPY starts trading each day AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.EveryDay("SPY"), TimeRules.AfterMarketOpen("SPY", 10), SelectSymbols)); // Select the universe 10 minutes before SPY stops trading each day AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.EveryDay("SPY"), TimeRules.BeforeMarketClose("SPY", 10), SelectSymbols)); // Select the universe on Monday and Friday at noon AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.Every(DayOfWeek.Monday, DayOfWeek.Friday), TimeRules.At(12, 0), SelectSymbols)); // Select the universe now AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.Today, TimeRules.Now, SelectSymbols)); // Select the universe tomorrow at midnight AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.Tomorrow, TimeRules.Midnight, SelectSymbols)); // Select the universe today at noon AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.Today, TimeRules.Noon, SelectSymbols)); // Select the universe every 10 minutes on everyday AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.EveryDay(), TimeRules.Every(TimeSpan.FromMinutes(10)), SelectSymbols)); // Select the universe at the market open on the first day of the month the SPY starts trading AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.MonthStart("SPY"), TimeRules.AfterMarketOpen("SPY"), SelectSymbols)); // Select the universe at the market close on the last day of the month the SPY trades AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.MonthEnd("SPY"), TimeRules.BeforeMarketClose("SPY"), SelectSymbols)); // Select the universe 5 minutes after SPY starts trading each week AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.WeekStart("SPY"), TimeRules.AfterMarketOpen("SPY", 5), SelectSymbols)); // Select the universe 5 minutes before the SPY stops trading each week AddUniverseSelection(new ScheduledUniverseSelectionModel( DateRules.WeekEnd("SPY"), TimeRules.BeforeMarketClose("SPY", 5), SelectSymbols)); // Define a selection function that returns Symbol objects private IEnumerable<Symbol> SelectSymbols(DateTime dateTime) { var tickers = new[] {"SPY", "AAPL", "IBM"}; return tickers.Select(ticker => QuantConnect.Symbol.Create(ticker, SecurityType.Equity, Market.USA)); }
# Select the universe on a specific date at a specific time self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.On(2013, 10, 7), self.TimeRules.At(13, 0), self.select_symbols)) # Select the universe 10 minutes after SPY starts trading each day self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.EveryDay("SPY"), self.TimeRules.AfterMarketOpen("SPY", 10), self.select_symbols)) # Select the universe 10 minutes before SPY stops trading each day self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.EveryDay("SPY"), self.TimeRules.BeforeMarketClose("SPY", 10), self.select_symbols)) # Select the universe on Monday and Friday at noon self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.Every(DayOfWeek.Monday, DayOfWeek.Friday), self.TimeRules.At(12, 0), self.select_symbols)) # Select the universe now self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.Today, self.TimeRules.Now, self.select_symbols)) # Select the universe tomorrow at midnight self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.Tomorrow, self.TimeRules.Midnight, self.select_symbols)) # Select the universe today at noon self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.Today, self.TimeRules.Noon, self.select_symbols)) # Select the universe every 10 minutes on everyday self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.EveryDay(), self.TimeRules.Every(timedelta(minutes=10)), self.select_symbols)) # Select the universe at the market open on the first day of the month the SPY starts trading self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.MonthStart("SPY"), self.TimeRules.AfterMarketOpen("SPY"), self.select_symbols)) # Select the universe at the market close on the last day of the month the SPY trades self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.MonthEnd("SPY"), self.TimeRules.BeforeMarketClose("SPY"), self.select_symbols)) # Select the universe 5 minutes after SPY starts trading each week self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.WeekStart("SPY"), self.TimeRules.AfterMarketOpen("SPY", 5), self.select_symbols)) # Select the universe 5 minutes before the SPY stops trading each week self.AddUniverseSelection(ScheduledUniverseSelectionModel( self.DateRules.WeekEnd("SPY"), self.TimeRules.BeforeMarketClose("SPY", 5), self.select_symbols)) # Define a selection function that returns Symbol objects def select_symbols(self, date_time: datetime) -> List[Symbol]: tickers = ['SPY', 'AAPL', 'IBM'] return [Symbol.Create(ticker, SecurityType.Equity, Market.USA) for ticker in tickers]


wasm-pack
You appear to be running a *nix system (Unix, Linux, MacOS). Install by running:
curl https://rustwasm.github.io/wasm-pack/installer/init.sh -sSf | sh
If you're not on *nix, or you don't like installing from curl, follow the alternate instructions below.
You appear to be running Windows 64-bit. Download and run wasm-pack-init.exe then follow the onscreen instructions.
If you're a Windows Subsystem for Linux user, run the following in your terminal, then follow the onscreen instructions to install wasm-pack.
If you're not on Windows 64-bit, follow the alternate instructions below.
I don't recognize your platform.
We would appreciate it if you reported an issue, along with the following values:
To install from source on any platform:
cargo install wasm-pack
On supported platforms, you can also use npm or yarn to download a precompiled binary:
npm install -g wasm-pack or yarn global add wasm-pack
npm install -g wasm-pack
yarn global add wasm-pack


With Vanilla
With Fetch
With Fetch & FormData
Vanilla With Fetch
With WebWorker
With Fetch in WebWorker
With jQuery
With Angular
Modify Headers
Case Insensitive Headers
Fake response
Modify Method and URL
Track Error Codes
Add Event Listeners
Real Download Events
Fake Download Events
Real Upload Events
Response Type
Events
XHR Reuse
Vanilla XML
Open


Unscented Kalman Filtering on Parallelizable Manifolds¶
Below is a gallery of examples of applications of the Unscented Kalman Filtering on parallelizable manifolds.
Below is a gallery of examples of applications of the Unscented Kalman Filtering on parallelizable manifolds.


--- layout: page title: Hi, I'm Johan subtitle: Developper, Dreamer, Deep Learner meta-title: "Hi, I'm Johan" meta-description: "My portfolio" css: "/css/aboutme.css" bigimg: - "/img/big-imgs/montenegro.jpg" : "Montenegro (2016)" - "/img/big-imgs/montenegro2.jpg" : "Montenegro (2016)" - "/img/big-imgs/france-beynes.jpg" : "My town, Beynes, France (2017)" - "/img/big-imgs/france-touquet.jpg" : "Le Touquet, France (2017)" - "/img/big-imgs/france-verdon.jpg" : "Verdon, France (2017)" - "/img/big-imgs/croatia-krka.jpg" : "Krka National Park, Croatia (2018)" - "/img/big-imgs/croatia-sun.jpg" : "Enjoying the sun in Croatia (2018)" - "/img/big-imgs/croatia-bike.jpg" : "On the bike in Croatia (2018)" - "/img/big-imgs/croatia-korcula.jpg" : "Korčula Island, Croatia (2018)" - "/img/big-imgs/germany-berlin.jpg" : "Berlin, Germany (2019)" - "/img/big-imgs/quebec-cantons.jpg" : "Cantons de l'Est, QC, Canada (2019)" - "/img/big-imgs/quebec-cantons2.jpg" : "Cantons de l'Est, QC, Canada (2019)" - "/img/big-imgs/quebec-montreal.jpg" : "Montreal, QC, Canada (2019)" - "/img/big-imgs/quebec-montreal2.jpg" : "Montreal, QC, Canada (2019)" - "/img/big-imgs/quebec-montreal3.jpg" : "Montreal, QC, Canada (2019)" - "/img/big-imgs/quebec-quebec.jpg" : "Quebec, QC, Canada (2019)" - "/img/big-imgs/quebec-saguenay.jpg" : "Saguenay Fjord National Park, QC, Canada (2019)" ---
Previously interned at Thales (a French multinational in the aerospace and defense industry), first as a software engineer and later as research scientist. My final experience put the focus on exploring reinforcement learning based approach on flying assets simulation.
Obtained my MSc in Artificial Intelligence (4.0/4.0 in-major GPA) from the University of Cergy-Pontoise, France and my Bachelor of Computer Science from the University of Paris-Saclay. My master's project involved solving a jigsaw puzzle using a model-based reinforcement learning algorithm.
I love writing amazing & challenging pieces of software — check out my projects. My journey started at 13, building a video game in C. Here we are 10 years later, I'm now deeply focused on implementing exciting deep learning algorithms!
I cofounded Serverlobby.io, a website that helps game server owners to be promoted by allowing them to create their server page. After only a few months, Serverlobby attracts more than a thousand monthly users.
I'm addicted to demanding sports (Gym, Parkour, Obstacle Race, Ski and more), travelling, interacting with people, trying new things and not to forget enjoying this life on earth :)
The projects page is a nice place to see some of my work, but if you prefer you can also checkout my resume.
Born and raised in the Paris area; lived for 6 months in Montreal, Canada for my Master internship; spend months travelling in Europe and North America.


Using the official example template of creating a training module with Bootstrap.
on {{value.created |date:'medium'}}
{{value.content}}


lateinit var rustBackend: RustBackend
A wrapped version of cash.z.wallet.sdk.jni.RustBackendWelding that will be passed to the SDK when it is constructed. It provides access to all Librustzcash features and is configured based on this initializer.


ppmtv(1) ppmtv(1) NAME ppmtv - make a portable pixmap look like taken from an American TV SYNOPSIS ppmtv dimfactor [ppmfile] DESCRIPTION Reads a portable pixmap as input. Dims every other row of image data down by the specified dim factor. This factor may be in the range of 0.0 (the alternate lines are totally black) to 1.0 (original image). This creates an effect similar to what I've once seen in the video clip 'You could be mine' by Guns'n'Roses. In the scene I'm talking about you can see John Connor on his motorbike, looking up from the water trench (?) he's standing in. While the camera pulls back, the image gets 'nor‐ mal' by brightening up the alternate rows of it. I thought this would be an interesting effect to try in MPEG. I did not yet check this out, how‐ ever. Try for yourself. SEE ALSO ppm(5), ppmdim(1) AUTHOR Copyright (C) 1993 by Frank Neumann 16 November 1993 ppmtv(1)


Name
Description
Market Definition
Climate Zone
Hot-humid
Mixed-humid
Hot-dry
Mixed-dry
Marine
Cold
Very cold
Subarctic
Building Type
Residential
Single-family homes
Multi-family homes
Mobile homes
Commercial
Assembly
Education
Food sales
Food service
Health care
Lodging
Mercantile/service
Other
Small office
Large office
Warehouse
Building Vintage
New
Existing
End Use
Market Entry Year
Market Exit Year
ECM Type
1:1 Technology Replacement
Augments Existing Technology
Performance
Single Value
By Climate Zone
By Building Type
By Climate Zone and Building Type
With A Probability Distribution
Data Sources
Single Source
Same Structure as Values
Lifetime
Single Value
By Building Type
With A Probability Distribution
Data Sources
Single Source
Same Structure as Values
Fuel Switching
No
Yes
Notes


Get to know general information about what the corona virus is, how it spreads, what safety measures can be taken and statistics of the infection and recovery rates all over India from the Ministry of Health and Family Welfare.
THH has established a partnership with Verify.net, an online fact verification service with which you can check whether the message you recieve via social media are true or not. The results will arrive as an email to the mail ID provided when posting the question.
Online shopping made safer with drone dropoffs from delivery vehicles. Done in collaboration with all engineering colleges of India that have developed drones as final year projects, Amazon and Flipkart. Headed by the IEEE PES SBC of Rajagiri School of Engineering and Technology.
THH foundation offers free mental health therapy sessions that may prove useful to those who face difficulty being at home for such a long duration of time. We have brought together several experts from all over the world who specialize in treating confinement discomforts, alchohol withdrawal syndromes and a vast majority of psychological issues in general.
THH has brought together the best doctors from all over the world to interact live wth you regarding your queries and issues. Qualified personnel from all fields of medicine, ranging from general physicians to gynecologists have partnered with us to provide you with the best of their services even in the pandemic situation.
Our foundation provides immediate help as well. For immediate need of food or essential supplies such as medicines or sanitary wear, just place a request at our amenities portal. The nearest government office will get in contact with you in a matter of hours.
Anyone can apply for an instant loan of upto Rs. 1,00,000 depending on annual income. This loan will be at minimal interest or even free of interest depending on current financial status of the debtor, and can be paid over a period of 1 year. However, a maximum of only one loan can be allotted to one family as per ration card.
The Government has set up classes online on how to make effective masks from old clothes and on how to make sanitizer liquid from raw chemicals. Collection points have been set up for people who make such supplies in surplus.
The government has initiated a series of webinars on several timeslots scheduled over the course of this month in association with the UGC and IEEE India Chapter. These webinars will deal with how to make Ventilators, Automatic Sanitizers, Thermal detectors etc. from materials that are mostly available in homes.
Our organization acts as a for you to interact with the various government services, NGO's, Online shopping platforms and Charitable trusts. Here are a list of the services we can connect you to:
Get to know general information about what the corona virus is, how it spreads, what safety measures can be taken and statistics of the infection and recovery rates all over India from the Ministry of Health and Family Welfare.
THH has established a partnership with Verify.net, an online fact verification service with which you can check whether the message you recieve via social media are true or not. The results will arrive as an email to the mail ID provided when posting the question.
Online shopping made safer with drone dropoffs from delivery cars. Done in collaboration with all engineering colleges of Kerala that have developed drones as final year projects, Amazon and Flipkart. Headed by the IEEE PES SBC of Rajagiri School of Engineering and Technology.
THH foundation offers free mental health therapy sessions that may prove useful to those who face difficulty being at home for such a long duration of time. We have brought together several experts from all over the world who specialize in treating confinement discomforts, alchohol withdrawal syndromes and a vast majority of psychological issues in general.
THH has brought together the best doctors from all over the world to interact live wth you regarding your queries and issues. Qualified personnel from all fields of medicine, ranging from general physicians to gynecologists have partnered with us to provide you with the best of their services even in the pandemic situation.
Our foundation provides immediate help as well. For immediate need of food or essential supplies such as medicines or sanitary wear, just place a request at our amenities portal. The nearest government office will get in contact with you in a matter of hours.
Anyone can apply for an instant loan of upto Rs. 1,00,000 depending on annual income. This loan will be at minimal interest or even free of interest depending on current financial status of the debtor, and can be paid over a period of 1 year. However, a maximum of only one loan can be allotted to one family as per ration card.
The current pandemic situation in our country demands all people to be connected to the internet for their safety and well-being. However, there are a lot of people who do not have money to recharge their internet services in addition to talktime credits. Thus the Government has undertaken a mission of distributing data balance irrespective of network used to the less financially-able factions of our country.
The Government has set up classes online on how to make effective masks from old clothes and on how to make sanitizer liquid from raw chemicals. Collection points have been set up for people who make such supplies in surplus.
The government has initiated a series of webinars on several timeslots scheduled over the course of this month in association with the UGC and IEEE India Chapter. These webinars will deal with how to make Ventilators, Automatic Sanitizers, Thermal detectors etc. from materials that are mostly available in homes.
Our organization acts as a for you to interact with the various government services, NGO's, Online shopping platforms and Charitable trusts. Here are a list of the services we can connect you to:
Get to know general information about what the corona virus is, how it spreads, what safety measures can be taken and statistics of the infection and recovery rates all over India from the Ministry of Health and Family Welfare.
THH has established a partnership with Verify.net, an online fact verification service with which you can check whether the message you recieve via social media are true or not. The results will arrive as an email to the mail ID provided when posting the question.
Online shopping made safer with drone dropoffs from delivery cars. Done in collaboration with all engineering colleges of Kerala that have developed drones as final year projects, Amazon and Flipkart. Headed by the IEEE PES SBC of Rajagiri School of Engineering and Technology.
THH foundation offers free mental health therapy sessions that may prove useful to those who face difficulty being at home for such a long duration of time. We have brought together several experts from all over the world who specialize in treating confinement discomforts, alchohol withdrawal syndromes and a vast majority of psychological issues in general.
THH has brought together the best doctors from all over the world to interact live wth you regarding your queries and issues. Qualified personnel from all fields of medicine, ranging from general physicians to gynecologists have partnered with us to provide you with the best of their services even in the pandemic situation.
Our foundation provides immediate help as well. For immediate need of food or essential supplies such as medicines or sanitary wear, just place a request at our amenities portal. The nearest government office will get in contact with you in a matter of hours.
Anyone can apply for an instant loan of upto Rs. 1,00,000 depending on annual income. This loan will be at minimal interest or even free of interest depending on current financial status of the debtor, and can be paid over a period of 1 year. However, a maximum of only one loan can be allotted to one family as per ration card.
The current pandemic situation in our country demands all people to be connected to the internet for their safety and well-being. However, there are a lot of people who do not have money to recharge their internet services in addition to talktime credits. Thus the Government has undertaken a mission of distributing data balance irrespective of network used to the less financially-able factions of our country.
The Government has set up classes online on how to make effective masks from old clothes and on how to make sanitizer liquid from raw chemicals. Collection points have been set up for people who make such supplies in surplus.
The government has initiated a series of webinars on several timeslots scheduled over the course of this month in association with the UGC and IEEE India Chapter. These webinars will deal with how to make Ventilators, Automatic Sanitizers, Thermal detectors etc. from materials that are mostly available in homes.


The class ManageableVector
extends Vector
and implements ManageableCollections
.
The class ManageableArrayList
extends ArrayList
and implements ManageableCollections
.
The class ManageableHashSet
extends HashSet
and implements ManageableCollections
.
Patterns applied: Adapter, Callback interface ("don't call us, we call you")
Todo: Provide more such implementations.


progress
element test
progress
element
Downloading progress:
progress
with aria-label
aria-label
should be used as accessible name.
No accessible description.
progress
with aria-labelledby
p
referenced by aria-labelledby
aria-labelledby
should be used as accessible name.
No accessible description.
progress
with label
label
should be used as accessible name.
No accessible description.
progress
with title
attribute
Title should be used as accessible name.
No accessible description.
progress
with aria-describedby
p
referenced by aria-describedby
.
aria-describedby
should be used as accessible description.
No accessible name.
progress
with label
element & title
attribute
Label should be used as accessible name.
Title should be used as accessible description.


Movies Report
Date {{date}}
Movies seen in the last 30 days: {{movies|length}}
{% for movie in movies %}
{{movie}}
{% endfor %}
Total minutes: {{total_minutes}}


Dear {{ user.username }}
You recently registered on Flightify with the email {{ user.email }}
Click on the following link to activate your account.
|
{{ site }}{% url 'accounts-confirm-user' key=link %}
Click here to confirm your email |
Regards,
The Flightify
admin


|
|
- Type is the type of measurement to perform
- Target is the target of the measurement (e.g., IP address or URL)
- Count is the number of times the measurement should be repeated
A count of -1 means to run the measurement indefinitely.
- Interval is the interval in seconds between each repeating measurement
- Profile frequency is a floating point number. IntervalSec will
be multiplied by this number, unless lower than 1, where Profile Frequency 1:
smallest data usage allowed, Profile Frequency 4: highest amount of data usage is allowed.
|


Resources | Wonsulting
Wonsulting was created with one goal in mind: to turn underdogs into winners. Helping those who come from non-traditional backgrounds/non-target schools to get them into their dream careers. They've conducted 110+ workshops/events for universities/organizations both domestically in the United States and globally in other countries including Canada, India, Nigeria, UK, Australia, and Israel.
Wonsulting recently got nominated for Forbes 30 under 30. For more information check out the site at Wonsulting.com
People to Follow
Resources


ESM 244 course description: A survey course in advanced topics in statistics and data analysis for environmental scientists (ordinal and multinomial logistic regression, bootstrapping, non-linear models, intro to time-series analysis, spatial data analysis and interpolation, ordination methods, cluster analysis, text mining, etc.) while continuing to build skills and habits in data science (data wrangling, analysis & computational reproducibility in R/RStudio, version control and collaboration with R and GitHub). Term project: build a Shiny app.
ESM 244 course syllabus (Winter 2020)
ESM 244 Code of Conduct
| 1 |
Lecture 1: Course welcome, 206 review, PCA intro |
Lab 1: data wrangling + visualization review, get going with blogdown |
| 2 |
Lecture 2: PCA continued, RDA intro Getting started with Shiny teaching key |
Lab 2: Getting started in Shiny, data wrangling continued, exploring missings, and a PCA example |
| 3 |
Lecture 3: Binary logistic regression intro Lecture 4: Logistic regression continued |
Lab 3: Binary logistic regression, some maps |
| 4 |
Take-home labs (`sf` + `Shiny`) |
Take-home (no in-class labs) |
| 5 |
Lecture 5: Intro to time-series data exploration and analysis Lecture 6: Decomposition and forecasting overview |
Lab 5: Time series + gh-pages! |
| 6 |
Lecture 7: Intro to spatial data, variograms and kriging Lecture 8: Kriging continued, intro to point pattern analysis |
Lab 6: Check out a GeoTIFF, variograms, kriging |
| 7 |
Lecture 9: Point pattern analysis, kernel density, intro to cluster analysis Lecture 10: Hierarchical clustering methods |
Lab 7: Point pattern analysis, k-means, hierarchical clustering |
| 8 |
Lecture 14: Lecture 15: |
Lab 8: |
| 9 |
Lecture 16: |
Lab 9: |
10 |
Lecture 17: |
Lab 10: |
ESM 244 ARCHIVES