THE POLICE
In Spain there are two uniformed police forces with jurisdiction over the entire national territory: the National Police and the Civil Guard (Guardia Civil). The National Police, wearing a blue uniform and under the jurisdiction of the Ministry of the Interior, are entrusted with defending public order and security in cities and towns with populations of over 10,000. They also perform judicial police duties.
The Civil Guard, wearing a green uniform and also under the Ministry of the Interior, has a military structure and was initially entrusted with defending public order and security in rural areas. Today the Civil Guard also performs duties in cities, but its main function is border control and road traffic supervision. It is also responsible for the outer perimeter of prisons and penitentiaries (civil servants called ‘prison officials’ are in charge of what goes on inside these facilities) and the transfer of prisoners from one prison to another or to the Courts. They also perform judicial police duties.
In addition to the two national police corps, there are three Regions (Comunidades Autónomas) that have their own police force. Catalonia’s regional police force is called the Mossos de Escuadra. They wear a blue uniform and perform the same duties as the National Police and the Civil Guard within their territorial bounds, including the external surveillance of prisons. All of these competences, except for border control which remains the responsibility of the Civil Guard, have been devolved to that Region. They also perform judicial police duties.
The Basque Country’s regional police is called the Ertzaintza. They wear a red uniform and exercise the same authority as the police in Catalonia with the exception of the external control of prisons which is still entrusted to the Civil Guard as that competence has not been devolved. They also perform judicial police duties.
And lastly Navarre, whose Foral Police Force wears a red uniform and performs the same duties as the Basque police force.
Cities and towns also have their own uniformed Local Police that generally wear a blue uniform. There are, however, important differences between the structure of the Local Police in a city like Madrid with three million inhabitants and that of much smaller cities and towns.
All police forces, regional and local, are subject to the same obligations as the National Police and the Civil Guard in terms of legal assistance for detainees and free legal assistance.
LEGAL ASSISTANCE FOR MINORS
Minors have rights but may have difficulty exercising them since they depend on third parties, i.e. their parents or guardians, to be able to do so. Parents or guardians have to authorize their actions and typically are the ones who can provide or deny them the necessary financial means.
The age of majority in Spain is 18 for both men and women as both genders enjoy the same rights. At age 18, young people in Spain are free to take their own decisions but having the economic wherewithal to do so is a different issue.
However, in the criminal system there is an intermediate situation between children and young adults as the criminal age of majority is 14. In other words, a young person between the age of 14 and 18 can be held criminally liable and can therefore be arrested, charged and convicted.
Detainees in this age bracket are entitled to legal assistance and free legal assistance, although with the nuances inherent to the special protection afforded to minors through specialized Juvenile Courts. This protection is set out in the “Minors’ (Criminal Liability) Act, Law 5/2000 of 12 January 2000 known as the Minors’ Act.
Thus, investigation of the complaint and other actions leading to detention are under the authority of a Juvenile Prosecutor, and police have a maximum of 24 hours to bring the detainee before the prosecutor provided that such time is needed to carry out police inquiry related to the detention of the minor.
The prosecutor, in turn, must put the minor at the disposal of a juvenile court judge within a maximum period of 48 hours. During that time the prosecutor may take a statement (exploration being the legal term in this case), but always in the presence of a lawyer and the detainee’s parents, guardians or legal representatives and, failing that, in the presence of a prosecutor other than the one conducting the exploration, who is bound to defend the interests of the minor.
In the event of detention, the minor must be separated from detainees or prisoners over the age of 18. Judges may adopt measures ranging from internment in a closed, semi-open or open regime, to therapeutic or outpatient treatment, to various other prohibitions and specific restrictions.
LEGAL ASSISTANCE FOR VICTIMS OF GENDER-BASED VIOLENCE
Spaniards are equal before the law and may not in any way be discriminated against on account of birth, race, sex, religion, opinion or any other personal or social condition or circumstance. Article 14 of the Spanish Constitution makes it abundantly clear that men and women are entitled to the same rights.
However, legal reality is often an aspiration that does not always fall in line with social reality. And although women’s status has changed dramatically for the better in recent decades in Spain, especially after the reform of the Civil Code in 1975 and the entry into force of the Constitution in 1978, social reality reflects many issues that still need to improve.
One of those pending issues was how women could defend their own rights with regard to domestic violence. One must never forget that the effectiveness of rights does not depend only on the letter of the law but fundamentally on the freedom and financial capacity to be able to exercise those rights. This is something that was not always available to women.
It was the Bar Associations that first tackled the problem by signing agreements with the various public administrations to fund an assistance service for battered women. This service covered two needs. On-duty lawyers organized in much the same way as assistance for detainees providing immediate 24/7 legal support as well as consultant lawyers to advise on the steps to follow in the event of a problem. On-duty lawyers helped women to take the initial steps to deal with physically dangerous situations.
Then, once a legal procedure was initiated against the person accused of mistreatment, women could continue under a private prosecution regime. That was the point where the second inequality occurred, in many instances because the intervention of a lawyer was not mandatory and in others because many women ostensibly had sufficient means given that the calculation was based on family income. These women were therefore not entitled to free legal assistance.
This problem was solved by the 2004 Comprehensive Measures against Gender-based Violence Act. That law entitles women, from the very outset, to assistance and a lawyer to help them file a police complaint. A shelter is also provided for them and their children and a restraining order is issued to keep the aggressor from getting within a certain distance. In conclusion, the law entitles women to free legal assistance from the very outset, regardless of whether the intervention of a lawyer is mandatory and insufficiency of financial means is presumed by default.
LEGAL ASSISTANCE FOR IMMIGRANTS
As a group, aliens, potentially face problems in exercising their right to equal access to effective justice. In principle, they have the same rights as Spaniards. Consequently, they are entitled to legal counsel if detained and to have an interpreter present when making their declaration. They also have the right to appoint a lawyer of their choice for subsequent legal proceedings. But interpreting services are only available at those specific times and it is quite likely that certain aliens may not understand enough Spanish to properly know their rights and how to exercise them. It is also very likely that their income, if any, is insufficient to cover the costs of a legal proceeding.
Here again, it was the Bar Associations that took the initiative to address this problem and, in the 1990s, create Legal Assistance and Guidance Services for Immigrants. These services were provided by volunteer lawyers and financed by the government under agreements signed with the Bar Association. The Bar Associations’ services for immigrants provided legal advice to aliens and instructed them on how to defend their rights. They provided them with an interpreter and, when necessary, defended their interests.
The 1996 Free Legal Assistance Act was an important step forward in recognizing the right of aliens in Spain who lack sufficient financial resources to obtain free legal assistance. Moreover, the Free Legal Assistance Act gave aliens the right to such assistance from the very outset in the jurisdiction of the administrative courts, without having to file any paperwork, and the right to address matters related to their stay in Spain or expulsion orders.
While this system solved the problem for aliens already in Spain regardless of their legal status, it did not solve the problems facing immigrants under “Organic Law 4/2000 of 11 January 2000 on the rights and freedoms of aliens in Spain and their social integration”, also known as the Alien Act, regulating the legal regime applicable to aliens in Spain and their social integration and explicitly referring to irregular aliens arriving at our borders. Such aliens are sent to Alien Internment Centres (Spanish acronym CIE) where they must wait until a decision is made regarding their situation. They are entitled to free legal assistance and legal representation by a lawyer.
LEGAL ASSISTANCE IN PRISON
Incarceration deprives people of their fundamental right to freedom and of other related rights such as free communication with third parties, limited in accordance with prison regulations. But does not deprive them of all their rights. The other rights of incarcerated persons remain intact and may continue to be exercised from prison. For instance, these persons can marry and divorce, buy or sell a house, draw up a will or accept an inheritance, file a lawsuit or defend themselves against one filed against them, request free legal assistance, etc.
Moreover, life in prison is not subject to the whims of prison officials but rather is regulated and subject to the supervision of judges that oversee the enforcement of sentences. It must comply with the provisions in the General Penitentiary Act, Law 1/79 of 26 September 1979 and its Regulations of 1981 and 1996. This was the first law passed after the Constitution came into force and serves as proof of the importance attached to this issue after 40 years of dictatorship.
According to the Penitentiary Code where these regulations can be found, inmates may request the opportunity to exercise the specific rights provided for under said Law (temporary release permit, communications with family members, conjugal visits, changes in custody status to a more open regime, filing of complaints against sanctions imposed in prison, etc.). Inmates may also file a complaint before the judge overseeing their sentence if requests made to prison officials have gone unanswered or been denied.
It has become clear that the effective exercising of these rights, including access to effective justice, is contingent upon inmates’ imprisonment status. Lawyers have detected this problem and in the 1990s created the so-called Prison Guidance Service (Spanish acronym SOP). This resulted in the signing of an agreement with the government whereby Bar Association lawyers are permitted to provide legal counsel inside prisons to inmates who so request, and defend their requests through administrative or judicial channels.


{% extends 'apps-tabs.html' %} {% block head_title %}Account - great.gov.uk{% endblock %} {% load static from staticfiles %} {% block tab_content %}
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jQuery Gridy - A Grid Plugin
(current version: 0.2.0)
Download
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TUTORIAL: Remove Files From GitHub
byIf you've every tried to remove files from a GitHub repository by putting them in the Trash/Recycle Bin and then doing a git push
, you know that this doesn't work.
After making this mistake too many times, I read up on Git, the distributed version control system that GitHub's built on top of. In the process, I gained a clear understanding how the two interact with each other: this is key in understand how to properly delete files as well as walking the path towards "GitHub guru-ness".
Let's get started on all this guru stuff by walk through the proper methods for deleting files.
Table of Contents
- If you deleted an already-committed file outside of the command line
- How you should always delete files from Git
- How to delete files that are NOT checked into Git
- How to delete folders
- A simple explanation of how Git & GitHub work
- Further Git & GitHub Reading
- Conslusion
If you deleted an already-committed file outside of the command line
A file that's already been committed to Git can only be deleted from a repo via the command line. Trying to delete repo files by dragging them to the Trash/Recycle Bin (or something similar) is one of the most common Git newbie mistakes.
If you moved a committed file named oldFileAlreadyDeleted.html
to the Trash, your terminal would return this message when you type git status
:
# Changes not staged for commit:
# (use "git add/rm <file>..." to update what will be committed)
# (use "git checkout -- <file>..."  For example, if you want to delete a file called someCommitedFile.html
, you would do so like this:
$ git rm someCommittedFile.html
Then write a git commit
message:
$ git commit -m 'remove someCommittedFile.html'
And if someCommittedFile.html
is viewable on GitHub, doing a git push
will remove it:
$ git push all
How to delete files that are NOT checked into Git
Say you want to delete oldFile.html
and you get this message when you typed git status
:
# Untracked files:
# (use "git add <file>..." to include in what will be committed)
#
# oldFile.html
This means that oldFile.html
hasn't been checked into Git yet, so just use rm
to delete it and you're done:
$ rm oldFile.html
How to delete folders
Scenario 1: An empty folder (let's call it someFolder
) cannot be tracked by Git, so it can't be checked into Git as well. It also can't be pushed up to GitHub.
Scenario 2: Git can track the folder once it has content. But if someFolder
hasn't been committed to the repo yet, you get this message after typing git status
:
# Untracked files:
# (use "git add <file>..." to include in what will be committed)
#
# someFolder/
In either of these two scenarios, someFolder
can be deleted using the generic rm
command though, which looks like this:
$ rm -rf someFolder
After a folder has been committed to your repo, that's when you can use Git to delete it, and at any time. You use the same remove/commit/push sequence previously discussed:
$ git rm someFolder
$ git commit -m 'remove someFolder'
$ git push
Why do things need to be done this way? First, we need to be clear about the difference between Git and GitHub, as well as how they work together.
A simple explanation of how Git & GitHub work
Git is version control software that tracks changes to your code repository on your local machine. It also retains the entire change history that's also on your local machine.
You upload your code repo's changes and change history to GitHub, the online web service that provides a feature-rich graphical user interface to manage the repo. Most of these features are centered around project managment.
If your only Git education up to this point is doing what GitHub tells you to do when you creating a repo, you should be familiar with git add
. You use it as part of a command sequence in Terminal when you either add new files to GitHub or update existing ones.
So to recap the previously-discussed command sequence, if you have a file called "myFile.html" that you've just created or changed and you want to upload it to GitHub, you would type these three commands in the following order:
$ git add 'myFile.html'
$ git commit -m 'add myFile.html'
$ git push
The sequence for deleting files is the same, except for one change: you replace add
with rm
, which is the UNIX command for removing things.
 Because Git views any type of update to your repo as a "change." Git can detect these changes but has absolutely no idea what to do with them: it's your job to tell Git what to do with them.
We just deleted a file from our project folder in the last command sequence with git rm
, meaning we made a change to our repo. Then, by "committing" this change with git commit
, we told our repo "this file really MUST go". Lastly, we uploaded these changes to our remote repo on GitHub with git push
. After the push was completed, GitHub saw that a delete was performed against on our local machine's repo; therefore, GitHub deleted myFile.html
from the its brower-based view.
The "changes" concept is a central characteristic of Git and is key to understanding the Git/GitHub relationship. Git's job is to "track," or "watch," every single, solitary change that occurs inside your local repo...adds, deletes, updates...whatever. GitHub can only "change" itself based on what your local Git repo actually tells it to "change". So in the case of deletions, if you don't use git rm
to tell Git to remove a file, Git can't tell GitHub to remove it after you do a git push
.
Further Git & GitHub Reading
This post focused on how Git and GitHub handle file and folder deletions but there's more to them than that. From a beginner's level, here are some great learning resources:
The Git Site »
Obviously your first stop. The site went through a major redesign a while back, greatly improving the UI. Documentation and downloads are much easier to find and read.
Try Git »
If you need your hand held a bit when first learning Git (which is not a sin), you can check this site out. Sponsored by Code School, Try Git is a Codecademy-styled learning tool that takes you through some Git commands and processes that you may not be familiar with.
GitHub Training »
One of the reasons that GitHub has become popular is the same reason that Chris Coyier and Paul Irish have become popular: their desire to share as much knowledge as humanly possible. While some of the training things they offer cost money, they offer many things for free. Check out their Free Resources section as well as their Online Training and Events sections. For the last two, some things are free and some are not, but I think they're reasonably priced.
A Note About Git Commit Messages »
Written five years from the time of this post, this Tim Pope article on how to create a proper Git commit has become required reading for developers. Rarely will you find a software pro NOT follow these rules so it's best to include them in your workflow.
Git Essential Training Course on lynda.com (premium) »
It costs money but is worth it. Taught by Kevin Skoglund, it's a thorough, hands-on Git course offered by lynda.com (a kaidez.com affiliate)...definitely worth checking out.
Common Git Commands »
UK-based developer Kerry Gallagher put together a really useful list of Git commands. Print it out and tape it somewhere by your computer.
"Git Is Simpler Than You Think" by Nick Farina »
If you want to Git works under the hood, check out this excellent post. Nick Farina opened Git up and spent a lot of time looking at its internal structure. Lots of great info in this post.
"What is Version Control: Centralized vs. DVCS" by Giancarlo Lionetti »
I really want you to understand that Git is a distributed version control system as well as understand what that means. It's the part that makes sharing code via GitHub a snap and, let's be honest, a major reason behind their success. Lionetti provides the most in-depth, easy-to-understand article on the subject that I could find.
Pro Git by Scott Chacon »
The Git Book, and it's free! It's a little dense and doesn't flow as easily as these other resources…I'll admit that I haven't read all of it. But I have read enough of it to know that it's an important Git resource.
Conclusion
I hope you understand all the various ways to remove files from GitHub and learned some new Git stuff in the process. At the same time, I hope you've come to realize that the title of Farina's post is correct: Git is simpler than you think. The only thing that will keep you from learning Git is any fears you have of the command line.


{% import '_defaults.html' as def %} {% set title = "Profan's Dwelling." %} {% set current_page = '/' %} {% extends 'layout.html' %} {% block container %}
Currently a BS Computer Science student at Stockholm University, interested in natural language processing, game development and artificial intelligence.


| BinaryBlockToTextCellConverter |
|
| CM_N_COVCell |
|
| CTableMap |
Ctable map is an abstraction for the hashmap used for ctable's hash group-by
because this structure is passed through various interfaces.
|
| DnnParameters |
This class is container that stores parameters required for executing following operations:
conv2d, conv2d_backward_data, conv2d_backward_filter, maxpooling, maxpooling_backward
|
| DoublePrecisionCudaSupportFunctions |
|
| IJV |
Helper class for external key/value exchange.
|
| LibCommonsMath |
Library for matrix operations that need invocation of
Apache Commons Math library.
|
| LibMatrixAgg |
MB:
Library for matrix aggregations including ak+, uak+ for all
combinations of dense and sparse representations, and corrections.
|
| LibMatrixBincell |
Library for binary cellwise operations (incl arithmetic, relational, etc).
|
| LibMatrixCUDA |
All CUDA kernels and library calls are redirected through this class
|
| LibMatrixCuDNN |
This class contains method that invoke CuDNN operations.
|
| LibMatrixCuDNNConvolutionAlgorithm |
This class is a wrapper that contain necessary data structures to invoke
a cudnn convolution* functions (such as cudnnConvolutionForward, etc)
It implements autocloseable to simplify the LibMatrixCuDNN code and also avoids potential memory leaks.
|
| LibMatrixCuDNNInputRowFetcher |
Performs a slice operation: out = in[(n+1):(n+1), 1:numColumns]
|
| LibMatrixCuDNNPoolingDescriptors |
This class is a wrapper that contain necessary data structures to invoke
a cudnn convolution* functions (such as cudnnConvolutionForward, etc)
It implements autocloseable to simplify the LibMatrixCuDNN code and also avoids potential memory leaks.
|
| LibMatrixCuDNNRnnAlgorithm |
|
| LibMatrixCuMatMult |
|
| LibMatrixDatagen |
|
| LibMatrixDNN |
|
| LibMatrixDNNConv2d |
This class contains the set of operators used for performing conv2d
|
| LibMatrixDNNHelper |
|
| LibMatrixDNNIm2Col |
This class contains the different implementation of im2col operation
|
| LibMatrixDNNPooling |
This class contains the set of operators used for performing pooling
|
| LibMatrixDNNRelu |
This class contains the different implementation of rotate180 operation
|
| LibMatrixDNNRelu.ReluBackward |
Performs the operation: (X gt 0) * dout
|
| LibMatrixDNNRotate180 |
This class contains the different implementation of rotate180 operation
|
| LibMatrixEquals |
Equals library for MatrixBLocks:
|
| LibMatrixMult |
MB: Library for matrix multiplications including MM, MV, VV for all
combinations of dense, sparse, ultrasparse representations and special
operations such as transpose-self matrix multiplication.
|
| LibMatrixNative |
|
| LibMatrixOuterAgg |
ACS:
Purpose of this library is to make some of the unary outer aggregate operator more efficient.
|
| LibMatrixReorg |
MB:
Library for selected matrix reorg operations including special cases
and all combinations of dense and sparse representations.
|
| LibMatrixSketch |
|
| LibMatrixTercell |
Library for ternary cellwise operations.
|
| MatrixBlock |
|
| MatrixBlock.SparsityEstimate |
|
| MatrixCell |
|
| MatrixIndexes |
This represent the indexes to the blocks of the matrix.
|
| MatrixValue |
|
| MatrixValue.CellIndex |
|
| OperationsOnMatrixValues |
|
| Pair<K,V> |
|
| RandomMatrixGenerator |
|
| SinglePrecisionCudaSupportFunctions |
|
| TextToBinaryCellConverter |
|
| TripleIndexes |
|
| TripleIndexes.Comparator |
|
| WeightedCell |
|
| WeightedPair |
|


--- layout: home author_profile: true ---
The purpose of this project is to gather and organize the rare but useful knowledge. For a structured view of the knowledge that a developer needs, please check out the Table of Content :)


Full output
Status
-
(
stop
)
-
Start:
-
, end:
-
States
Time
Diameter
Found
Distinct
Queue
Coverage
Module
Action
Total
Distinct
Output
Warnings
Errors
Error Trace


acm_scraper.py
import requests
from bs4 import BeautifulSoup
import re
Class to store one Categorie found in the paper
class Category():
numbers = []
name = ""
has_children = True
children = []
def __init__(self, numbers: list, name: str):
self.numbers = numbers
self.name = name
def to_dict(self):
return {
"name": this.name,
"numbers": this.numbers
}
for testing purposes
def main():
url = "https://dl.acm.org/doi/10.1145/3230543.3230575"
url = "https://dl.acm.org/doi/10.1145/3432935"
binder_url = "https://dl.acm.org/action/showBinder?binderCode=READINGLIST-a74de539-6fb8-4617-8b68-66e52f59c64a"
soup = get_soup(url)
leaf_cats = get_categories(soup)
facts_soup = get_facts_soup(soup)
print(get_title(soup))
authors = get_authors(facts_soup)
print("------------------")
for author in authors:
name_from_profile(author)
authors_string = ",".join(authors)
print(",".join(authors))
print(authors_string.split(","))
def get_urls_from_binder(url):
soup = get_soup(url)
print(soup)
Get all leaf Categories as a list of Strings
def get_leaf_categories(url):
Args:
url (str): url of the paper on ACM. Url is not checked
Returns:
leaf_list (list of str): List of Strings with the names of all Leaf categories
soup = get_soup(url)
leaf_list = get_categories(soup)
return leaf_list
Return a soup object
def get_soup(url):
html_string = requests.get(url).text
soup = BeautifulSoup(html_string, "lxml")
return soup
def get_facts_soup(soup:BeautifulSoup):
return soup.find(class_="citation")
def get_all_infos(soup):
sub div from soup
facts = soup.find(class_="citation")
print(f"there are {len(authors_info)} authors in this paper")
Get the title of the Paper
def get_title(facts_soup):
Args:
facts_soup (BeautifulSoup soup): sub soup of the complete page
As the Informations appear multiple times on the webpage we need to split the complete soup into sub-soups
This should also improve the performance - at least by a little :)
Returns:
String: title of the page
title = facts_soup.find("h1", class_="citation__title").text
return title
Returns a list of the links to the authors profiles
def get_authors(facts_soup):
Args:
facts_soup (BeautifulSoup soup): sub soup
Returns:
list: list of links to authors profiles, better to track as names can be doubled
authors_info = facts_soup.find_all(class_="loa__item")
finds all classes which contain the authors information
authors_profile_list = []
for author in authors_info:
print(author.find(“a”).get(“title”)) #Name of the Author print(author.find(class_=”author-info__body”).find(“p”).text) #Institute he/she is working at
try:
authors_profile_link = author.find(class_="author-info").find("a").get("href")
authors_profile_link = "https://dl.acm.org" + authors_profile_link
authors_profile_list.append(authors_profile_link)
print(authors_profile_link) #link to their profile
except AttributeError as ae:
print(f"AttributeError: {ae}")
print(name_from_profile(author.find(class_=”author-info”).find(“a”).get(“href”)))
return authors_profile_list
get the Authors name from his/her profile
def name_from_profile(link):
if "dl.acm.org" in link:
url = link
else:
url = "https://dl.acm.org"+link
print(url)
if r"/author/" in url:
name = re.sub(r"[\W\w]*\/author\/", "", url)
n = re.split(",",name)
n[0], n[1] = n[1],n[0]
for i in n:
i.strip()
name = " ".join(n)
else:
at recently published papers it may happen that the profile of the author is not yet linked to the paper
html = requests.get(url).text
profile = BeautifulSoup(html, "lxml")
print(f”scraper.name_from_profile for this url: {url}”)
name = profile.find(class_="colored-block item-meta profile-meta").find("h2").text.replace(" "," ").strip()
return name
Paper Id and conference Id - probably unnecessary
def get_paper_id(link):
id = re.sub(r"https:\/\/dl\.acm\.org\/doi\/[\d*\.\d*]+\/", "", link)
return id
Get the name of the conference by the link of the paper
def get_conference(link):
Args:
link (string): link of the paper
Returns:
string : name of the conference the paper was published under
first you have to remove the paperid from the link to get the conference link
if re.match(r"[\W\w]*\/\d{4,}.\d{4,}", link):
conf_link = re.sub(r'\.\d{5,}', "", link)
print(conf_link)
html = requests.get(conf_link).text
soup = BeautifulSoup(html, "lxml")
conference = soup.find(class_="left-bordered-title").text
else:
TODO return Journals name it was published under
conference = "Not published with a Conference"
return conference
Get a list of the leaf Categories
def get_categories(soup):
Args:
soup (BeautifulSoup): the soup of the complete website
for an explanation how the children categories are identified have a look at the comments for
get_infos_of_cat_link(link) there is a more in-depth explanation of how the links to the categories are build
Returns:
list (String): List of the names of the leaf categories
organizational_chart = soup.find("ol", class_="rlist organizational-chart")
categories_container = organizational_chart.find_all("a")
print(len(categories_container))
categories_text = []
categories_list = []
leaf_categories_list = []
creates Categorie objects and appends them to a list
for categorie in categories_container:
try:
name = categorie.text
numbers = get_infos_of_cat_link(categorie.get("href"))
cat = Category(numbers,name)
categories_list.append(cat)
except Exception as e:
print(e)
checks if the categorie has children or not
for categorie in categories_list:
rest_cats = [cat.numbers for cat in categories_list if not cat == categorie]
rest_cats is a list of the remaining categories
rest_numbers = [nr for sublist in rest_cats for nr in sublist]
list comprehension puts all numbers in one list
last_number = categorie.numbers[-1]
if last_number not in rest_numbers:
categorie.has_children = False
appends leaf categories to a list
for categorie in categories_list:
if categorie.has_children == False:
leaf_categories_list.append(categorie.name)
return leaf_categories_list
Get all category numbers from a given link
def get_infos_of_cat_link(link):
Args:
link (link to a (sub-) category): this link contains all parent categories numbers
a link to a category is build up like this:
https://dl.acm.org/topic/ccs2012/10003120.10003138.10003141?SeriesKey=imwut&expand=all
first we remove everything after the ?
https://dl.acm.org/topic/ccs2012/10003120.10003138.10003141
then everthing before the last /
10003120.10003138.10003141
these 3 numbers indicate that this category has 2 parent categories
these 3 numbers are then split by the . and are put into a list which is returned
If a category number is later found more then once you can be sure that this is NOT a leaf category.
This is because the link to the first parent category looks like this:
https://dl.acm.org/topic/ccs2012/10003120.10003138
Returns:
list(int): List of Integers to all the parent categories
return an ordered list with all category and subcategories Numbers
categories_numbers = []
cat_string = re.sub(r"\?[\w*\W*]*","", link)
removes everything after the ?
cat_string = re.sub(r"[\w*\W*]*\/", "", cat_string)
removes everything before the last /
categories_numbers = re.split(r"\.", cat_string)
splits the numbery by the .
return categories_numbers
if __name__ == "__main__":
main()


RT Editor-in-Chief Simonyan Offers Bolivian Ex-President Morales Job as TV Host
MOSCOW (Sputnik) - Evo Morales, who recently resigned as president of Bolivia, may not be unemployed for long, Sputnik and RT editor-in-chief Margarita Simonyan said on Monday, offering Morales his own show at the broadcaster’s Spanish-language channel, citing previous experience with another former South American president-turned-TV presenter.
"I offer Morales an exciting job as a TV presenter at Spanish RT. [Former President of Ecuador Rafael] Correa has been hosting his show with us for the second year and has nothing to worry about," Simonyan wrote on her Telegram channel.
On Sunday, Morales resigned after weeks of protests throughout Bolivia that were sparked by a controversial election, in which Morales won nearly 10 more points than his opponents. His resignation followed the publishing of a report by international observers that found "grave" irregularities in the 20 October vote.
Correa, for his part, has been hosting his political talk show, "Conversando con Correa," on RT Espanol since early 2018, after serving as president of Ecuador from 2007-2017. Similar to Morales, Correa was part of a leftward shift in South American politics in the 2000s known as the "pink tide."


In this segment we develop some consequences of the independence assumption that we have made on the trials that constitute a Bernoulli process.
These properties will be pretty intuitive, but they play an important role.
They're helpful in solving problems, and they're also quite helpful in understanding the continuous time version of the Bernoulli process, namely the Poisson process that we will be studying later.
So here's the story.
We start with a Bernoulli processes with some parameter p.
The process starts.
A friend of yours watches the processes, and they observe the results of the different trials, let's say for five time steps.
And at this time, right after time five, they call you into the room, and you start watching the rest of the process.
What will you see? The first random variable that you will see is the result of whatever happens in this time slot, which is the sixth slot of the original process.
The second random variable that you will see is the result of the seventh random variable in the original process, and so on.
So the process that you get to see is the process Yi, where i ranges over the non-negative integers.
What properties does this process have? Because of the assumption that the different trials are independent, this means that the first five trials are independent from the trials that happen after time five.
So one property is that the process is Yi is independent of whatever happens in the past, which is X1 up to X5.
Second, the random variable that you see, X6, X7, and so on, are independent Bernoulli random variables with parameter p.
So the random variables Yi constitute also a Bernoulli process with parameter p.
So the process that you get to see, which is the sequence of trials after time five, is identical, probabilistically, to a Bernoulli process with parameter p like the process Xi.
So it's as if a Bernoulli process was just starting fresh at this particular time.
And because of this, we say that the process has a fresh-start property after a certain time.
In this example, we used 5 as the certain time, but instead of 5, we could have any particular integer little n, in which case our process Y1 starts with Xn plus 1, continues with Xn plus 2 and so on.
And here, instead of X5, we would have written Xn.
So after a deterministic time n, what you see is the same as if we had a Bernoulli process that was starting fresh at this particular time, and which is also independent from whatever happened in the past.
Let us now complicate the story a little bit.
Suppose that your friend watches the Bernoulli process, and they keep watching it until a success is observed for the first time.
Right at that time, they call you into the room, and you started watching the rest of the process.
This is the length of time that we have called T1, the number of trials until the first success.
So what is it that you will be watching? The first random variable that you will see is what happens in slot T1 plus 1.
The second random variable that you will see is what happened in slot T1 plus 2, and so on.
And this defines, again, a process, the sequence of the Yi's This is what you will see starting from this particular time.
What kind of process is it? Well, these trials happened in the past.
We know what they were.
But no matter what they were, the future trials will still be independent of the past, and each one of the trials will have probability p of being a success.
So the properties that we have, again, is that the trials that you see are independent of the past, which in this case is everything from x1 up to time xT1.
And what you see is a Bernoulli process.
We describe the situation by saying that the process starts fresh after time T1.
And by this, again, we mean that if you start watching the process right after T1, what you will see will be a Bernoulli process which is independent from whatever happened in the past.
Having just argued that the process starts of the first success, we can now ask why whether such a property is also true more generally.
That is, if we start watching the process at some random time n, will the process start fresh at that time? Let us look at some additional examples.
Suppose that capital N is the time of the third success.
So your friend watches the Bernoulli process, and each time, they say, did the third success occur? Not yet.
Not yet.
Not yet.
Not yet.
Yes, the third success just occurred.

What will you be seeing? After that time, there will be independent Bernoulli trials that take place.
And these refer to the future of the process, looking at [it] from this particular point in time.
And the future is independent from whatever happened in the past.
So what you actually see is, indeed, a fresh Bernoulli process that starts here and which is independent from the random variables that occurred in the past.
Let us look at another example.
Let capital N be the first time that three successes in a row have been recorded.
So your friend, again, watches the process.
And they ask each time, did we see three success in a row? Not yet.
Not yet.
Not yet.
Not yet.
Not yet.
Yes.
I just saw three successes in a row.
And now your friend calls you in, and you start watching the process from this point in time.
By the same argument as before, whatever happens in the future is going to be Bernoulli trials that are independent from the past, so you will, again, have a fresh-start property starting from this time.
So in both cases, formally, what we have is that the process that you get to observe starting after time capital N, after the time that you're called and asked to start watching, what you will see is going to be a sequence of independent Bernoulli trials, that is, a Bernoulli process.
And this sequence of future trials is independent from whatever happened in the past of the process.
What both of these examples have in common is that the random variable N, the time at which you're called in, is causally determined from the history of the process.
What does that mean? It means that somebody is watching the process, and at each point in time, based on what they have seen so far, they decide whether to call you in or not.
What would be an example of a non-causal time N? Here it is.
N could be the time just before the first occurrence of 1, 1, 1.
So in this example here, you would be called into the room and start watching at this time.
So your friend somehow knows is going to occur and calls you just before it happens.
How could that be? Well, imagine that the Bernoulli process actually was run yesterday.
It was recorded in a movie.
Your friend has seen the movie, so knows everything that's going to happen.
And so, when the movie is replayed today, your friend can call you in at this time and tell you, you know, something very interesting is about happen.
Come in and start watching.
Now, what will you be watching? What you will watch will be 1, 1, 1, with certainty.
You're certain that the first three trials that you will see will be 1's.
And, well, the subsequent one's will be random.
But since you know that the first three trials will be 1, this means that statistically, they're not described by the statistics of a Bernoulli process.
In a Bernoulli process, each trial and the probability of being 0.
But since, in your case, you're certain to watch 1's in the beginning, this means that the random variables that you see do not conform to the description of a Bernoulli process.
So this is an example in which N is not causally determined.
And in this example, you do not to get to see a Bernoulli process.
We do not have the fresh-start property.
What happened here is more generally true.
We do have a fresh-start property, but not always.
We have it under the assumption that the time at which you're asked to start watching is determined from the past history of the process in some causal manner.
This is a general fact that can be established rigorously.
However we will not go through a formal mathematical derivation.
The formal argument for the most general case involves somewhat tedious symbol manipulations that do not provide any additional insight.
However, the intuition behind this result should be fairly clear, and we will use it freely whenever we need it.


basicusage.Rmd
Library the package and a solver (glpk)
library(dfsOptimizer)
Example of instantiating an Optimizer object, adding players from an internal dataset (nhl_players
), generating 5 lineups.
# Instantiate
mod <- create_optimizer(site = 'DRAFTKINGS', sport = 'HOCKEY', contest_type = 'CLASSIC')
# Add players
mod <- add_players_from_df(mod, nhl_players)
# Generate lineups
lineups <- build_lineups(mod, num_lineups = 5, verbose = FALSE)
You can view the lineups simply by calling the object saved by build_lineups
.
lineups
#> [[1]]
#> id fullname team position salary fpts roster_position
#> 1: 14086443 Nathan MacKinnon COL C 8300 19.00 C
#> 2: 14086445 Auston Matthews TOR C 7900 15.85 C
#> 3: 14086573 Brendan Gallagher MON W 6000 13.57 W
#> 4: 14086657 Kailer Yamamoto EDM W 2900 7.93 W
#> 5: 14086659 Martin Frk LA W 2900 9.32 W
#> 6: 14086813 Oscar Klefbom EDM D 6200 13.37 D
#> 7: 14086917 Sami Niku WPG D 2600 8.40 D
#> 8: 14087024 Cayden Primeau MON G 6500 19.20 G
#> 9: 14086453 Leon Draisaitl EDM C 6600 15.20 UTIL
#> 10: TOTAL 49900 121.84
#>
#> [[2]]
#> id fullname team position salary fpts roster_position
#> 1: 14086443 Nathan MacKinnon COL C 8300 19.00 C
#> 2: 14086447 Connor McDavid EDM C 7500 15.55 C
#> 3: 14086573 Brendan Gallagher MON W 6000 13.57 W
#> 4: 14086641 Matt Calvert COL W 3300 8.01 W
#> 5: 14086659 Martin Frk LA W 2900 9.32 W
#> 6: 14086813 Oscar Klefbom EDM D 6200 13.37 D
#> 7: 14086917 Sami Niku WPG D 2600 8.40 D
#> 8: 14087024 Cayden Primeau MON G 6500 19.20 G
#> 9: 14086453 Leon Draisaitl EDM C 6600 15.20 UTIL
#> 10: TOTAL 49900 121.62
#>
#> [[3]]
#> id fullname team position salary fpts roster_position
#> 1: 14086443 Nathan MacKinnon COL C 8300 19.00 C
#> 2: 14086447 Connor McDavid EDM C 7500 15.55 C
#> 3: 14086569 Mikko Rantanen COL W 6400 13.25 W
#> 4: 14086573 Brendan Gallagher MON W 6000 13.57 W
#> 5: 14086659 Martin Frk LA W 2900 9.32 W
#> 6: 14086867 Jake Muzzin TOR D 3200 8.07 D
#> 7: 14086917 Sami Niku WPG D 2600 8.40 D
#> 8: 14087024 Cayden Primeau MON G 6500 19.20 G
#> 9: 14086453 Leon Draisaitl EDM C 6600 15.20 UTIL
#> 10: TOTAL 50000 121.56
#>
#> [[4]]
#> id fullname team position salary fpts roster_position
#> 1: 14086443 Nathan MacKinnon COL C 8300 19.00 C
#> 2: 14086447 Connor McDavid EDM C 7500 15.55 C
#> 3: 14086573 Brendan Gallagher MON W 6000 13.57 W
#> 4: 14086657 Kailer Yamamoto EDM W 2900 7.93 W
#> 5: 14086659 Martin Frk LA W 2900 9.32 W
#> 6: 14086813 Oscar Klefbom EDM D 6200 13.37 D
#> 7: 14086917 Sami Niku WPG D 2600 8.40 D
#> 8: 14087024 Cayden Primeau MON G 6500 19.20 G
#> 9: 14086453 Leon Draisaitl EDM C 6600 15.20 UTIL
#> 10: TOTAL 49500 121.54
#>
#> [[5]]
#> id fullname team position salary fpts roster_position
#> 1: 14086443 Nathan MacKinnon COL C 8300 19.00 C
#> 2: 14086445 Auston Matthews TOR C 7900 15.85 C
#> 3: 14086573 Brendan Gallagher MON W 6000 13.57 W
#> 4: 14086653 Ilya Kovalchuk MON W 3000 7.39 W
#> 5: 14086659 Martin Frk LA W 2900 9.32 W
#> 6: 14086813 Oscar Klefbom EDM D 6200 13.37 D
#> 7: 14086917 Sami Niku WPG D 2600 8.40 D
#> 8: 14087024 Cayden Primeau MON G 6500 19.20 G
#> 9: 14086453 Leon Draisaitl EDM C 6600 15.20 UTIL
#> 10: TOTAL 50000 121.30
You can access the individual lineups with standard ‘[’ indexing
lineups[1]
#> [[1]]
#> id fullname team position salary fpts roster_position
#> 1: 14086443 Nathan MacKinnon COL C 8300 19.00 C
#> 2: 14086445 Auston Matthews TOR C 7900 15.85 C
#> 3: 14086573 Brendan Gallagher MON W 6000 13.57 W
#> 4: 14086657 Kailer Yamamoto EDM W 2900 7.93 W
#> 5: 14086659 Martin Frk LA W 2900 9.32 W
#> 6: 14086813 Oscar Klefbom EDM D 6200 13.37 D
#> 7: 14086917 Sami Niku WPG D 2600 8.40 D
#> 8: 14087024 Cayden Primeau MON G 6500 19.20 G
#> 9: 14086453 Leon Draisaitl EDM C 6600 15.20 UTIL
lineups[[2]]
#> id fullname team position salary fpts roster_position
#> 1: 14086443 Nathan MacKinnon COL C 8300 19.00 C
#> 2: 14086447 Connor McDavid EDM C 7500 15.55 C
#> 3: 14086573 Brendan Gallagher MON W 6000 13.57 W
#> 4: 14086641 Matt Calvert COL W 3300 8.01 W
#> 5: 14086659 Martin Frk LA W 2900 9.32 W
#> 6: 14086813 Oscar Klefbom EDM D 6200 13.37 D
#> 7: 14086917 Sami Niku WPG D 2600 8.40 D
#> 8: 14087024 Cayden Primeau MON G 6500 19.20 G
#> 9: 14086453 Leon Draisaitl EDM C 6600 15.20 UTIL
Finally, you may to extract the lineups to a list, To do so, you can simply run as.list(lineups)
# Here we're getting the total fpts from every lineup using sapply
colSums(sapply(as.list(lineups), '[[', 'fpts'))
#> [1] 121.84 121.62 121.56 121.54 121.30
Lineup summary provides information about how often individual players were selected for lineups (count and percentage), which teams were selected most often, and a measure of lineup variance (higher Jaccard Distance means more variance across lineups)
# Summary stats
summary(lineups)
#> Number of Expected Lineups: 5
#> Number of Lineups Found: 5
#>
#> Player Exposures:
#> Player Lineups Percent
#> 1: Nathan MacKinnon 5 100
#> 2: Brendan Gallagher 5 100
#> 3: Martin Frk 5 100
#> 4: Sami Niku 5 100
#> 5: Cayden Primeau 5 100
#> 6: Leon Draisaitl 5 100
#> 7: Oscar Klefbom 4 80
#> 8: Connor McDavid 3 60
#> 9: Auston Matthews 2 40
#> 10: Kailer Yamamoto 2 40
#> 11: Matt Calvert 1 20
#> 12: Mikko Rantanen 1 20
#> 13: Jake Muzzin 1 20
#> 14: Ilya Kovalchuk 1 20
#>
#> Players Per Team:
#> COL EDM LA MON TOR WPG
#> 7 14 5 11 3 5
#>
#> Lineup Variance (mean Jaccard Distance): 34.18 %
#>
The format of the file output by export_lineups is determined by the Site, Sport, and Contest Type.
export_lineups(lineups, file = 'lineup_export.csv')
There may be cases where you want to include previously generated lineups. For example, let’s say you want certain players’ variance to be dependent – like if a hockey center’s projection decreases randomly, his wingers’ projections should decrease a similar amount. By including previously generated lineups, you can alter the projections before each iteration of the model, but still be sure you’re not generating the same lineup twice.
# Make an empty object called Lineups
lineups <- list()
# Pull the initial player data, to build off of
player_data <- get_player_data(mod)
# Iterate for as many lineups as you'd like, let's say 20
for (nl in 1:20) {
# Apply your formula for dependent-randomness
# Get a single percentage adjustment (say, 10%)
random_adjustment <- runif(1, -.1, .1)
# We'll apply it to COL Cs and Ws from our nhl_players set, as an illustration
# Note the data.table notation here -- we're saying for ALL Cs and Ws on Colorado,
# Let's apply the _same_ random adjustment. You could easily loop this across teams,
# and lines if you had line-information
player_data[team == 'COL' && position %in% c('C','W'),
fpts := fpts * (1 + random_adjustment)]
# Now add that updated data back into the optimizer
mod <- add_players_from_df(mod, player_data)
# And Build the next lineup.Note the inclusion of the `existing_lineups` parameter
lineups <- build_lineups(mod, num_lineups = 1, existing_lineups = lineups, verbose = FALSE)
}
Or, as another example, let’s say you need 100 lineups - after the first 50, you notice the model is overwhelmingly selecting forwards from two teams, COL and EDM. You want to block those forwards in the next 50 lineups, but allow for any number of D or G from those teams.
# Build 50 lineups
lineups <- build_lineups(mod, num_lineups = 50, verbose = FALSE)
# Block any COL/EDM forwards
player_data <- get_player_data(mod)
ids_to_block <- player_data[team %in% c('COL','EDM') & position %in% c('C','W'), ]$id
mod <- block_players_by_id(mod, ids_to_block)
# Build 50 more lineups, which do not match any of the previous
lineups_new <- build_lineups(mod, num_lineups = 50, existing_lineups = lineups, verbose = FALSE)


Assignment 2: Howl’s moving casteljau
In which, we implement animations based on interpolation
Due Friday, September 24th, before midnight
The goals of this lab are to
-
implement animations using linear interpolation
-
implement animations using cubic interpolation
Get the source
On Github, do a Fetch Upstream
to synchronize your forked repository with the class repository.
Then update the source on your local machine and rebuild.
> git pull
> cd build
> cmake ..; make
1. Gradient
A color gradient uses linear interpolation to gradually change from one color to another based on position.
For this question, modify the code in a2-interpolation/gradient.cpp to implement a 2D gradient. Your program should open a square window and draw NxN cubes to fill it. The color of each cube will be a function of four colors and the cube’s position. The four colors will correspond to the four corners of the screen: NE, SE, SW, NW.
To run your program from the /build directory, type
build> ../bin/a2-gradient
build-windows> ../bin/Debug/a2-gradient
Let’s suppose that
-
The northwest corner has color yellow (1,1,0). Let’s name this color \(C^{nw}\).
-
The northeast corner has color cyan (0,1,1). Let’s name this color \(C^{ne}\).
-
The southwest corner has color red (1,0,0). Let’s name this color \(C^{sw}\)
-
The southeast corner has color fuchsia (1,0,1). Let’s name this color \(C^{se}\).
A 2D gradient is computed in two steps. Suppose our cube is at position \((p_x, p_y)^T\). First, we interpolate from west to east. Let \(t^x \in [0,1\)] be computed based on \(p_x\) and the window’s width.
Second, interpolate \(C_0^x\) and \(C_1^x\) based on the y direction. Let \(t^y \in [0,1\)] be computed based on \(p_y\) and the window’s height.
The final result is below
2. Draw Cubic
In the file a2-interpolation/drawcurve.cpp, implement an application that draws a cubic curve (and its control points) using both Bernstein polynomials and De Casteljau’s algorithm.
This application should hard-code the following control points:
-
(100, 50 , 0)
-
(150, 200 , 0)
-
(250, 100 , 0)
-
(300, 300 , 0)
When the user presses the '1' key, you should draw the curve by sampling the Bezier curve polynomial, e.g.
When the user presses the '2' key, you should draw the same curve using de Casteljau’s algorithm. The two curves should look visually identical.
You may implement your application however you wish!
To run your program from the /build directory, type
build> ../bin/a2-drawcubic
3. Cubic motion
Implement a demo, a2-interpolation/particlecubic.cpp, that animates the position of a particle based on a cubic polynomial.
To run your program from the /build directory, type
build> ../bin/a2-particlecubic
Requirements:
-
The particle should take 5 seconds to travel the curve.
-
The particle should wrap to the beginning of the curve when it gets to the end. You can use any algorithm you want for this, but the simplest solution involves using the elapsed time and fmod.
4. Screensaver
In class, we talked about how we can animate a curve by animating the control points. In this demo, we will compute a series of random curves and use linear interpolation between the control points to blend from one curve to the next.
Implement your screensaver program in a2-interpolation/screensaver.cpp. To run your program from the /build directory, type
build> ../bin/a2-screensaver
We recommend you implement the demo in two steps.
4.1. Single curve
We will interpolate between curves having random control points. You will need to manage three curves.
-
the starting curve (e.g. curve1),
-
the ending curve (e.g. curve2), and
-
a curve that stores the current interpolation between them. Let’s call this curve 'current'
When the current curve reaches curve 2, we compute a new curve to interpolate towards. The algorithm looks like
if t > 1
t = 0
curve1 = current
curve2 = new random curve
current = interpolate between curve1 and curve2 based on t
Requirements:
-
You should randomize colors
-
The animation should run forever (don’t hardcode the number of curves)
-
All control points should be within the bounds of the window
-
Draw curve1, curve2, and current
4.2. Trail effect
To implement a trailing effect, save the previously interpolated curves in a list. So we don’t run out of memory, we store at most N previous curves. In the demo below, N is 50.
In the simplest trail implementation, we would add a new curve to our list every frame. In other words, whenever we update the current curve, we would also add it to our list. However, this creates a trail that has the lines close together. You should try this first.
To make a prettier effect, we should only save the current curve only after T seconds have passed. In the demo below, X is 0.1 seconds. The algorithm looks like
timer = 0
add current curve to a list
if trail size > max size
remove oldest curve from list
Requirements:
-
You should randomize colors
-
The animation should run forever (don’t hardcode the number of curves)
-
All control points should be within the bounds of the window
-
Space out saving the current curve by T seconds. T > 0
-
Store at most N curves in your trail. N > 5
5. Be Unique!
Implement your own unique animation in a2-interpolation/unique.cpp. Below are some ideas:
-
Derive and implement a degree-N curve, N > 3
-
Derive and implement different polynomials for interpolation, such as the ones here. Or create your own.
-
Implement a cool scene using curves, Create a scene with lots of curves or that integrate some interactivity from the user. Some ideas:
-
Play with colors (gradients, palettes, jitter). Use a cubic curve to animate color.
-
Use sine/cosine to animate the control points
-
Let the user specify control points with mouse click
-
Animate the positions, colors, and scale of different shapes using cubic curves
-
-
Animate one or more shapes using different interpolation curves.
Be sure to describe your unique demo in your README.
6. Hand-in your work
6.1. What to hand-in
-
Your code
-
Images, movies, gifs, as appropriate
-
Your readme
6.2. How to hand-in
Check-in your code, images, and writeup and push the changes to Github. If everything is uploaded correctly, you will see your work on Github.
> cd animation-toolkit
> git add <files>
> git commit -m "helpful message"
> git push
Best practice is to always commit changes as you work, rather than waiting until the end to commit changes. You can always revert to an old version if you need to!
Your code should download and compile without modifications. Test your assignment on a lab machine (Park 230) to ensure that it works.
6.3. Generating images, movies and gifs
Screenshots
On Ubuntu, you can take a screenshot by
-
Prt Scrn to take a screenshot of the desktop.
-
Alt + Prt Scrn to take a screenshot of a window.
Gifs
On Ubuntu, you can use Peek to create gifs.
Movies
On Ubuntu, you can use recordmydesktop
to record movies in .ogv format.
By default, the whole desktop is recorded unless you give it a window id.
To get the window id, call xwininfo
and click on the window. Then pass the
id to recordmydesktop
.
> recordmydesktop --windowid <WindowId> --no-sound --v_quality 30 -o <name>.ogv
To check the video, open it in firefox.
> firefox <name>.ogv
| Files larger than 100 MB cannot be checked into git. In general, videos should be less than 5 MB. |
6.4. Update your Readme.md
Update assignments/a2-interpolation/Readme.md
to document the features in your assignment. Your readme should contain your images, gifs, and movies.
On github, you can drag and drop movies into your readme files. Images and gifs can also be added that way, or by including text such as the following
![Alternate text here](/path/to/image.png)
This Guide can help you with writing markdown.


Interface: CC2420PacketBody
interface CC2420PacketBody
Internal interface for the CC2420 to get portions of a packet.
- Author:
-
David Moss
Commands
command cc2420_header_t *getHeader(message_t *msg)
Commands - Details
getHeader
command cc2420_header_t *getHeader(message_t *msg)
- Returns:
-
pointer to the cc2420_header_t of the given message
getMetadata
command cc2420_metadata_t *getMetadata(message_t *msg)
- Returns:
-
pointer to the cc2420_metadata_t of the given message
getPayload
command uint8_t *getPayload(message_t *msg)
- Returns:
-
pointer to the payload region of the message, after any headers
works with extended addressing mode


Current Curricula
Introduction to Ember
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We can take your developers from beginners all the way through to creating complete, well-architected web applications.
Any of our existing training curricula can be presented as corporate trainings, in addition to custom classes. Our minimum class size is 10 students. We can coordinate combining multiple smaller groups to help you reach that number.
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To schedule private training sessions or a speaking engagement for your organization, please contact us.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
8
Dietary
Watch our step-by-step recipe for the perfect Victoria sponge filled with softly whipped cream and strawberry jam.
Preheat the oven to 180C/350F/Gas 4.
Gently heat the knob of butter in a pan and brush two 6in-7in/15cm-17.5cm cake tins with the melted butter. Line the bottom of the two cake tins with a circle of greaseproof paper.
In a large bowl, cream together the butter and sugar until pale and creamy, using an electric whisk or a wooden spoon. Beat well to get lots of air into the mixture (this should take a couple of minutes).
Beat in the eggs one at a time. Add a tablespoon of flour if the mixture curdles.
Fold in the flour using a large metal spoon. Be careful not to over-mix it.
Pour the mixture equally between the two cake tins and level off the top with a spatula. Make a slight dip in the centre with the tip of the spatula if you don't want them to be pointed in the middle.
Place in the oven and bake for about 20 minutes, or until the cakes spring back when pressed gently with a finger and are pale golden in colour.
Remove from the oven and take them out of the tins after about 5-10 minutes. Place them on a wire rack to cool completely (for about half an hour).
Spread the sponge with the jam and the whipped cream, then carefully sandwich together.
Dust with icing sugar and serve.


Author: Weston Price
This quickstart demonstrates the use of external JMS clients with JBoss Enterprise Application Platform 6 or JBoss AS 7.
It contains the following:
A message producer that sends messages to a JMS destination deployed to a JBoss Enterprise Application Platform 6 or JBoss AS 7 server.
A message consumer that receives message from a JMS destination deployed to a JBoss Enterprise Application Platform 6 or JBoss AS 7 server.
All you need to build this project is Java 6.0 (Java SDK 1.6) or better, Maven 3.0 or better.
The application this project produces is designed to be run on JBoss Enterprise Application Platform 6 or JBoss AS 7.
If you have not yet done so, you must Configure Maven before testing the quickstarts.
This quickstart uses secured management interfaces and requires that you create an application user to access the running application. Instructions to set up the quickstart application user can be found here: Add an Application User
The following shows the command line to start the server with the full profile:
For Linux: JBOSS_HOME/bin/standalone.sh -c standalone-full.xml
For Windows: JBOSS_HOME\bin\standalone.bat -c standalone-full.xml
To run the quickstart from the command line:
Make sure you have started the JBoss server. See the instructions in the previous section.
Open a command line and navigate to the root of the helloworld-jms quickstart directory:
cd PATH_TO_QUICKSTARTS/helloworld-jms
Type the following command to compile and execute the quickstart:
For JBoss Enterprise Application Platform 6 (Maven user settings NOT configured):
mvn clean compile exec:java -s PATH_TO_QUICKSTARTS/example-settings.xml
For JBoss AS 7 or JBoss Enterprise Application Platform 6 (Maven user settings configured):
mvn clean compile exec:java
If the maven command is successful, with the default configuration you will see output similar to this:
Mar 14, 2012 1:38:58 PM org.jboss.as.quickstarts.jms.HelloWorldJMSClient main
INFO: Attempting to acquire connection factory "jms/RemoteConnectionFactory"
Mar 14, 2012 1:38:58 PM org.jboss.as.quickstarts.jms.HelloWorldJMSClient main
INFO: Found connection factory "jms/RemoteConnectionFactory" in JNDI
Mar 14, 2012 1:38:58 PM org.jboss.as.quickstarts.jms.HelloWorldJMSClient main
INFO: Attempting to acquire destination "jms/queue/test"
Mar 14, 2012 1:38:58 PM org.jboss.as.quickstarts.jms.HelloWorldJMSClient main
INFO: Found destination "jms/queue/test" in JNDI
Mar 14, 2012 1:38:58 PM org.jboss.as.quickstarts.jms.HelloWorldJMSClient main
INFO: Sending 1 messages with content: Hello, World!
Mar 14, 2012 1:38:58 PM org.jboss.as.quickstarts.jms.HelloWorldJMSClient main
INFO: Received message with content Hello, World!
The example provides for a certain amount of customization for the mvn:exec
plugin using the system properties.
username
This username is used for both the JMS connection and the JNDI look-up. Instructions to set up the quickstart application user can be found here: Add an Application User.
Default: quickstartUser
password
This password is used for both the JMS connection and the JNDI look-up. Instructions to set up the quickstart application user can be found here: Add an Application User
Default: quickstartPassword
connection.factory
The name of the JMS ConnectionFactory you want to use.
Default: jms/RemoteConnectionFactory
destination
The name of the JMS Destination you want to use.
Default: jms/queue/test
message.count
The number of JMS messages you want to produce and consume.
Default: 1
message.content
The content of the JMS TextMessage.
Default: "Hello, World!"
jboss.naming.provider.url
This property allows configuration of the JNDI directory used to lookup the JMS destination. This is useful when the client resides on another host.
Default: "localhost"
You can also start the server and deploy the quickstarts from Eclipse using JBoss tools. For more information, see Use JBoss Developer Studio or Eclipse to Run the Quickstarts
If you want to debug the source code or look at the Javadocs of any library in the project, run either of the following commands to pull them into your local repository. The IDE should then detect them.
mvn dependency:sources
mvn dependency:resolve -Dclassifier=javadoc


Let the project memebers know what this is about. You can always change this later
You can also add users later. Administrators will have access by default.
{{ person.firstName || person.surName }}
Note : Click on the tag to remove it
Adding a start and end date provides your team a useful way to see the duration of this project which helps with planning your tasks and milestones


OnePlus Suffers Data Breach: Smartphone Manufacturer Says Customer Details Became Exposed To ‘Unauthorised Party’
by IANSIn a major data breach, Chinese handset maker OnePlus has disclosed being hit by a data leak when an "unauthorised party" accessed some customers' order information. It began notifying users about the breach on Friday (22 November).
However, the company did not say how many users were affected by the data breach.
OnePlus says hackers gained access to past customer orders. Exposed information included details like customer names, contact numbers, emails, and shipping addresses, but not passwords or financial details.
"We want to update you that we have discovered that some of our users' order information was accessed by an unauthorised party. We can confirm that all payment information, passwords and accounts are safe, but certain users' name, contact number, email and shipping address may have been exposed," Ziv C., Staff Member, Security Team, OnePlus, wrote in the company forum.
According to the smartphone player, the hacker's entry point was a loophole in its website, but did not provide any additional details.
Users who were hit by the breach may receive spam and phishing emails as a result of this incident, OnePlus added.
"Before making this public, we informed our impacted users by email. Right now, we are working with the relevant authorities to further investigate this incident," added Ziv.
(This story has been published from a wire agency feed without modifications to the text. Only the headline has been changed.)


{{ recipient.first_name_or_friend }} --
Thank you for your RSVP{% if event_rsvp.guests_count > 0 %} +{{ event_rsvp.guests_count }}{% endif %}for a {{ page.parent.name }} {{ page.parent.calendar.event_name | downcase }}.
If you have any questions regarding this {{ page.parent.calendar.event_name | downcase }}, please contact the host, {{ page.event.contact_name }} directly. This {{ page.parent.calendar.event_name | downcase }} was posted by the host (not us), so we don't have any further information about it. We do not do any vetting, so please use your best judgment; if it seems sketchy, be careful, and if it's a scam, email us and we will remove it from the site.
Host: {{ page.event.contact_name }}
Email: {{ page.event.contact_email }}
Phone: {{ page.event.contact_phone }}
{% include "mailing_event" %}
{% if page.event.content.size > 0 %}
{{ page.event.content_for_mailinng }}
{% endif %}
If you need to update or cancel your RSVP, use this link:
{{ edit_url }}
And you can invite others to join you at the event with this link:
{{ page_url }}
{{ broadcaster.name }}
{{ site.full_url }}


≡
Harikrishnan Balagopal
Software Engineer at IBM Research,
IIT Kanpur Alumnus
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Purchasing Document Number
Hold Purchase Order if NOT Faulty
Hold Purchase Order if Faulty
No Authorization Check
No messages necessary
No message determination
No Adoption of Price from Last Document
Park Document if NOT Faulty
Park Document if Faulty
Test Indicator
Purchasing Document Number
Address number
Form of address text
Name 1
Name 2
Name 3
Name 4
c/o name
City
District
City code for city/street file
City postal code
PO Box Postal Code
Company Postal Code (for Large Customers)
PO Box
PO Box city
(Not Supported) Post Delivery District
Street
Street Number for City/Street File
(Not Supported) Abbreviation of Street Name
House Number
Street 2
Street 3
Street 5
old: building (no. or abbreviation)
Floor in building
Room or Appartment Number
Country Key
Language Key
Region (State, Province, County)
Search Term 1
Search Term 2
Address time zone
Tax Jurisdiction
Address notes
Communication Method (Key) (Business Address Services)
First telephone no.: dialling code+number
First Telephone No.: Extension
First fax no.: dialling code+number
First fax no.: extension
Street
District code for City and Street file
City file test status
City PO box code (City file)
Transportation zone to or from which the goods are delivered
House number supplement
E-Mail Address
Street 4
Title text
Country ISO code
2-Character SAP Language Code
Building (Number or Code)
Regional structure grouping
Mode of Transport for Foreign Trade
Customs Office: Office of Exit/Entry for Foreign Trade
Updated information in related user data field/fast-checkbox>
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Posting date of version
Status "version completed"/fast-checkbox>
Reason for change
Description of version
Person requesting change
External Change Number of Version
Processing Type - Not Yet Usable in mySAP ERP
Purchasing Document Category
Object Number in Purchasing
Purchasing object: item
Version number in Purchasing
Name of Person who Created the Object
Date on Which Record Was Created
Entry time
Name of person effecting release
Date of release
Time of release
Name of approving buyer
Date of buyer approval
Time of buyer approval
Reason for change
Description of version
External Change Number of Version
Person requesting change
Net Order Value in PO Currency
Value change due to version
Currency Key
ISO code currency
Posting date of version
Status "version completed"/fast-checkbox>
Version status
Deletion indicator in purchasing document
Old processing state in purchasing document before version
Structure name o API table extension
Data part of BAPI extension parameter
Data part of BAPI extension parameter
Data part of BAPI extension parameter
Data part of BAPI extension parameter
Structure name o API table extension
Data part of BAPI extension parameter
Data part of BAPI extension parameter
Data part of BAPI extension parameter
Data part of BAPI extension parameter
Item Number of Purchasing Document
Billing plan number / invoicing plan number
Billing plan category
Billing/Invoicing Plan Type
Sort field
Start date for billing plan/invoice plan
End date billing plan/invoice plan
Rule for Determining Horizon in Billing/Invoicing Plan
Rule for Origin of Start Date of Billing/Invoicing Plan
Rule for Origin of End Date for Billing/Invoicing Plan
Rule for Origin of Next Billing/Invoice Date
Length of a standard period in the billing plan
Standard Billing/Invoicing Plan Number
Dates from
Billing/Invoice Creation in Advance/fast-checkbox>
Rule for Origin of Start Dates
Rule for Determination of a Deviating Billing/Invoice Date
Calendar for Defining Days Relevant to Billing/Invoicing
Dates to
Rule for Origin of End Dates
Purchasing Document Number
Item unlimited in value
Automatic creation of correction dates in billing plan/fast-checkbox>
Item Number of Purchasing Document
Billing plan number / invoicing plan number
Updated information in related user data field/fast-checkbox>
Updated information in related user data field/fast-checkbox>
Updated information in related user data field/fast-checkbox>
Updated information in related user data field/fast-checkbox>
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Item Number of Purchasing Document
Billing plan number / invoicing plan number
Item for billing plan/invoice plan/payment cards
Deletion Indicator
Date category
Date description
Settlement date for deadline
Rule in billing plan/invoice plan
Percentage of value to be invoiced
Currency Key of Credit Control Area
ISO code currency
Exchange rate for date in billing plan
Values to Be Invoiced/Calculated in Invoice Plan Date
Billing block for billing plan/invoice plan dates
Billing status for the billing plan/invoice plan date
Settlement date for deadline
Calendar for Defining Days Relevant to Billing/Invoicing
Billing date for billing index and printout
Amount eligible for cash discount in document currency
Rebate basis 1
Pricing is OK/fast-checkbox>
Milestone number
Usage
Process as for manually entered date
Item Number of Purchasing Document
Billing plan number / invoicing plan number
Item for billing plan/invoice plan/payment cards
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Item Number of Purchasing Document
Sequential Number of Account Assignment
Deletion Indicator: Purchasing Document Account Assignment/fast-checkbox>
Date on Which Record Was Created
Quantity
Distribution percentage in the case of multiple acct assgt
Currency amount for BAPIS (with 9 decimal places)
G/L Account Number
Business Area
Cost Center
Sales and Distribution Document Number
Sales Document Item
Schedule line
Main Asset Number
Asset Subnumber
Order Number
Goods recipient
Unloading Point
Controlling Area
Cost Object
Profit Center
Work Breakdown Structure Element (WBS Element)
Network Number for Account Assignment
Internal Key for Real Estate Object
Partner account number
Commitment Item
Recovery Indicator
Funds Center
Fund
Functional Area
Reference date for settlement
Tax on sales/purchases code
Tax Jurisdiction
Currency amount for BAPIS (with 9 decimal places)
Activity Type
Business Process
Document Number for Earmarked Funds
Earmarked Funds: Document Item
Activity Number
Grant
Commitment item
Functional Area
FM: Budget Period
Final Account Assignment Indicator/fast-checkbox>
Final Account Assignment Reason Code
Item Number of Purchasing Document
Sequential Number of Account Assignment
Field Name
CO-PA characteristic value
Item Number of Purchasing Document
Sequential Number of Account Assignment
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Item Number of Purchasing Document
Address number
Form of address text
Name 1
Name 2
Name 3
Name 4
c/o name
City
District
City code for city/street file
City postal code
PO Box Postal Code
Company Postal Code (for Large Customers)
PO Box
PO Box city
(Not Supported) Post Delivery District
Street
Street Number for City/Street File
(Not Supported) Abbreviation of Street Name
House Number
Street 2
Street 3
Street 5
old: building (no. or abbreviation)
Floor in building
Room or Appartment Number
Country Key
Language Key
Region (State, Province, County)
Search Term 1
Search Term 2
Address time zone
Tax Jurisdiction
Address notes
Communication Method (Key) (Business Address Services)
First telephone no.: dialling code+number
First Telephone No.: Extension
First fax no.: dialling code+number
First fax no.: extension
Street
District code for City and Street file
City file test status
City PO box code (City file)
Transportation zone to or from which the goods are delivered
House number supplement
E-Mail Address
Street 4
Title text
Country ISO code
2-Character SAP Language Code
Building (Number or Code)
Regional structure grouping
Vendor to be supplied/who is to receive delivery
Customer
Subcontracting vendor/fast-checkbox>
Item Number of Purchasing Document
Schedule line
Item Number of Reservation / Dependent Requirements
Material Number
Requirement Quantity of Component
Unit of entry
Unit of entry in ISO code
Quantity is fixed/fast-checkbox>
Plant
Requirements date for the component
Change Type (U, I, E, D)
Long Material Number for MATERIAL Field
External GUID for MATERIAL Field
Version Number for MATERIAL Field
Item category (bill of material)
Requirement Quantity
Base Unit of Measure
Base unit of measure in ISO code
Phantom item indicator/fast-checkbox>
Batch Number
Material Provision Indicator
Issue Storage Location
Revision level
Requirement Segment
Material Number (40 Characters, needed f. technical reasons)
Item Number of Purchasing Document
Schedule line
Item Number of Reservation / Dependent Requirements
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Updated information in related user data field/fast-checkbox>
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Number of the document condition
Condition item number
Step number
Condition counter
Condition Type
Condition rate
Currency Key
ISO code currency
Condition unit
Condition unit of measure in UoM
Condition pricing unit
Application
Condition pricing date
Calculation type for condition
Condition base value
Condition exchange rate for conversion to local currency
Numerator for converting condition units to base units
Denominator for converting condition units to base units
Condition category (examples: tax, freight, price, cost)
Condition is used for statistics/fast-checkbox>
Scale Type
Condition is Relevant for Accrual (e.g. Freight)/fast-checkbox>
Condition for invoice list
Origin of the condition
Group condition/fast-checkbox>
Condition update/fast-checkbox>
Access sequence - Access number
Sequential number of the condition
Condition control
Condition is inactive
Condition class
Factor for condition base value
Scale basis indicator
Scale base value of the condition
Condition scale unit of measure
ISO code for unit of measurement
Scale currency
ISO code currency
Condition for inter-company billing/fast-checkbox>
Condition for configuration/fast-checkbox>
Condition changed manually/fast-checkbox>
Condition record number
Change Type (U, I, E, D)
Account Number of Vendor or Creditor
Number of the document condition
Condition item number
Step number
Condition counter
Condition Type
Condition rate
Currency Key
ISO code currency
Condition unit
Condition unit of measure in UoM
Condition pricing unit
Application
Condition pricing date
Calculation type for condition
Condition base value
Condition exchange rate for conversion to local currency
Numerator for converting condition units to base units
Denominator for converting condition units to base units
Condition category (examples: tax, freight, price, cost)
Condition is used for statistics/fast-checkbox>
Scale Type
Condition is Relevant for Accrual (e.g. Freight)/fast-checkbox>
Condition for invoice list
Origin of the condition
Group condition/fast-checkbox>
Condition update/fast-checkbox>
Access sequence - Access number
Sequential number of the condition
Condition control
Condition is inactive
Condition class
Factor for condition base value
Scale basis indicator
Scale base value of the condition
Condition scale unit of measure
ISO code for unit of measurement
Scale currency
ISO code currency
Condition for inter-company billing/fast-checkbox>
Condition for configuration/fast-checkbox>
Condition changed manually/fast-checkbox>
Condition record number
Change Type (U, I, E, D)
Account Number of Vendor or Creditor
Number of the document condition
Condition item number
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The fastest chip ever in a smartphone and all‑day battery life let you do more and charge less. ... iPhone 11 shoots beautifully sharp 4K video at 60 fps across all its cameras.
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Happy Birthday, Tara Sutaria: FIVE times the millennial diva's smoking hot pictures set the internet on fire
by TIMESOFINDIA.COMThe multi-talented millennial diva Tara Sutaria recently made her debut on the celluloid with Punit Malhotra's 'Student Of The Year 2' and left everyone bedazzled with her on-screen presence. Starring alongside the likes of Tiger Shroff and Ananya Panday, Tara managed to grab a lot of limelight as well.
The birthday girl recently featured opposite Sidharth Malhotra in Milap Zaveri's 'Marjaavaan' and impressed the audience with her stellar performance once again. The film which also stars Riteish Deshmukh and Rakul Preet Singh in pivotal roles has been doing exceptionally well at the box office.
For the unversed, the millennial diva is also a professional singer, who has performed across several cities across the globe since the age of seven. Not only that but Tara is also a well-trained dancer and knows multiple forms of dance forms.
With more than three million followers on social media, Tara makes sure that she keeps her fans entertained by sharing pictures from her latest photoshoots wherein she flaunts her style in traditional as well as modern outfits. Today, on her birthday we take a glimpse at the times when Tara's smoking hot pictures set the internet on fire.
Not only are her professional accolades noteworthy but her personal life and relationship with Aadar Jain also grab a lot of attention. The lovebirds have been painting the town red by making public appearances together and their PDA on social media has been giving us all some major relationship goals.
Meanwhile, on the professional front, the birthday girl is currently basking in the success of her recently released film and at the same time also gearing up for her next release 'Tadap'. The film which is being helmed by Milan Luthria also marks the debut of Suniel Shetty's son Ahan Shetty and the film is a remake of 2018 Telugu film RX 100.
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|
SoundFontInfoLib
2.21.6
Library for parsing and rendering SF2 files
|
Like Chunk
, this class represents a tagged chunk of a file, but this is also a collection of similar items all with the same kind
tagged 4-byte value.
More...
#include <ChunkList.hpp>
Inherits SF2::IO::Chunk.
Public Member Functions | |
| ChunkList (Tag tag, uint32_t size, Tag kind, Pos pos) | |
| Constructor. More... | |
| Tag | kind () const |
| Obtain the Tag type for the elements held in the container. More... | |
| Public Member Functions inherited from SF2::IO::Chunk | |
| Chunk (Tag tag, uint32_t size, Pos pos) | |
| Constructor. More... | |
| Tag | tag () const |
| Obtain the Tag type for the chunk. More... | |
| size_t | size () const |
| Obtain the size of the chunk data. More... | |
| Pos | begin () const |
| Obtain the location of the first byte of the chunk data. More... | |
| Pos | end () const |
| Obtain the location right after the last byte of chunk data. More... | |
| Pos | advance () const |
| Obtain the file position of the next chunk in the file after this one. More... | |
| std::string | extract () const |
| Treat the chunk data as a string of ASCII characters with a max length of 256 characters. More... | |
| std::shared_ptr< int16_t > | extractSamples () const |
| Read samples into a new buffer. More... | |
Like Chunk
, this class represents a tagged chunk of a file, but this is also a collection of similar items all with the same kind
tagged 4-byte value.
Constructor.
| tag | the container's Tag type |
| size | the number of bytes used by the chunk list |
| kind | the Tag type for the elements in the chunk list |
| pos | the file position where the first item in the list is to be found |
|
inline |
Obtain the Tag type for the elements held in the container.


One-dimensional mean squared displacement (MSD) and four example trajectories along two different crystal direction for the PHCs at the (a) ZnO(101[combining macron]0), and (b) ZnO(112[combining macron]0) surfaces. The dashed lines in the trajectory plots are separated by distances equal to the surface unit cell along the corresponding crystal direction.