📅 (2022-04-28 01:17:57 UTC)
# Packages matching: installed # Name # Installed # Synopsis base-bigarray base base-threads base base-unix base conf-findutils 1 Virtual package relying on findutils conf-gmp 4 Virtual package relying on a GMP lib system installation coq dev Formal proof management system dune 3.1.1 Fast, portable, and opinionated build system ocaml 4.07.1 The OCaml compiler (virtual package) ocaml-base-compiler 4.07.1 Official release 4.07.1 ocaml-config 1 OCaml Switch Configuration ocaml-secondary-compiler 4.08.1-1 OCaml 4.08.1 Secondary Switch Compiler ocamlfind 1.9.1 A library manager for OCaml ocamlfind-secondary 1.9.1 Adds support for ocaml-secondary-compiler to ocamlfind zarith 1.12 Implements arithmetic and logical operations over arbitrary-precision integers # opam file: opam-version: "2.0" maintainer<EMAIL_ADDRESS>homepage: "https://github.com/math-comp/multinomials" bug-reports: "https://github.com/math-comp/multinomials/issues" dev-repo: "git+https://github.com/math-comp/multinomials.git" license: "CeCILL-B" authors: ["Pierre-Yves Strub"] build: [ "dune" "build" "-p" name "-j" jobs ] depends: [ "coq" {(>= "8.10" & < "8.15~") | = "dev"} "dune" {>= "2.5"} "coq-mathcomp-ssreflect" {(>= "1.12" & < "1.14~") | = "dev"} "coq-mathcomp-algebra" "coq-mathcomp-bigenough" {(>= "1.0" & < "1.1~") | = "dev"} "coq-mathcomp-finmap" {(>= "1.5" & < "1.6~") | = "dev"} ] conflicts: [ "coq-native" ] tags: [ "keyword:multinomials" "keyword:monoid algebra" "category:Math/Algebra/Multinomials" "category:Math/Algebra/Monoid algebra" "logpath:SsrMultinomials" ] synopsis: "A Multivariate polynomial Library for the Mathematical Components Library" url { src: "https://github.com/math-comp/multinomials/archive/1.5.4.tar.gz" checksum: "sha512=b92e76162316314653de4329b15a6cc535076e7f511e6e709cda2572381394b081a99207ce365eea034307eddacdf694486674f68d72cd5c29c7e4f40d1c01fc" }
true
Dry install with the current Coq version:
opam install -y --show-action coq-mathcomp-multinomials.1.5.4 coq.dev
Dry install without Coq/switch base, to test if the problem was incompatibility with the current Coq/OCaml version:
true
opam list; echo; ulimit -Sv 4000000; timeout 4h opam install -y --deps-only coq-mathcomp-multinomials.1.5.4 coq.dev
opam list; echo; ulimit -Sv 16000000; timeout 4h opam install -y -v coq-mathcomp-multinomials.1.5.4 coq.dev
# Packages matching: installed # Name # Installed # Synopsis base-bigarray base base-threads base base-unix base conf-findutils 1 Virtual package relying on findutils conf-gmp 4 Virtual package relying on a GMP lib system installation coq dev Formal proof management system coq-mathcomp-algebra dev Mathematical Components Library on Algebra coq-mathcomp-bigenough dev A small library to do epsilon - N reasonning coq-mathcomp-fingroup dev Mathematical Components Library on finite groups coq-mathcomp-finmap dev Finite sets, finite maps, finitely supported functions coq-mathcomp-ssreflect dev Small Scale Reflection dune 3.1.1 Fast, portable, and opinionated build system ocaml 4.07.1 The OCaml compiler (virtual package) ocaml-base-compiler 4.07.1 Official release 4.07.1 ocaml-config 1 OCaml Switch Configuration ocaml-secondary-compiler 4.08.1-1 OCaml 4.08.1 Secondary Switch Compiler ocamlfind 1.9.1 A library manager for OCaml ocamlfind-secondary 1.9.1 Adds support for ocaml-secondary-compiler to ocamlfind zarith 1.12 Implements arithmetic and logical operations over arbitrary-precision integers [NOTE] Package coq is already installed (current version is dev). The following actions will be performed: - install coq-mathcomp-multinomials 1.5.4 <><> Gathering sources ><><><><><><><><><><><><><><><><><><><><><><><><><><><><> Processing 1/1: [coq-mathcomp-multinomials.1.5.4: http] [coq-mathcomp-multinomials.1.5.4] downloaded from https://github.com/math-comp/multinomials/archive/1.5.4.tar.gz Processing 1/1: <><> Processing actions <><><><><><><><><><><><><><><><><><><><><><><><><><><><> Processing 1/2: [coq-mathcomp-multinomials: dune build] + /home/bench/.opam/opam-init/hooks/sandbox.sh "build" "dune" "build" "-p" "coq-mathcomp-multinomials" "-j" "4" (CWD=/home/bench/.opam/ocaml-base-compiler.4.07.1/.opam-switch/build/coq-mathcomp-multinomials.1.5.4) - (cd _build/default && /home/bench/.opam/ocaml-base-compiler.4.07.1/bin/coqc -w -ambiguous-paths -w -notation-overridden -w -redundant-canonical-projection -w -projection-no-head-constant -R src SsrMultinomials src/xfinmap.v) - File "./src/xfinmap.v", line 37, characters 64-70: - Error: Syntax error: [ident] expected after 'in' (in [hloc]). - - (cd _build/default && /home/bench/.opam/ocaml-base-compiler.4.07.1/bin/coqc -w -ambiguous-paths -w -notation-overridden -w -redundant-canonical-projection -w -projection-no-head-constant -R src SsrMultinomials src/ssrcomplements.v) - File "./src/ssrcomplements.v", line 190, characters 32-42: - Warning: Notation prod_curry is deprecated since 8.13. Use uncurry instead. - [deprecated-syntactic-definition,deprecated] - File "./src/ssrcomplements.v", line 192, characters 0-29: - Warning: The default value for hint locality is currently "local" in a - section and "global" otherwise, but is scheduled to change in a future - release. For the time being, adding hints outside of sections without - specifying an explicit locality attribute is therefore deprecated. It is - recommended to use "export" whenever possible. Use the attributes #[local], - #[global] and #[export] depending on your choice. For example: "#[export] - Hint Unfold foo : bar." [deprecated-hint-without-locality,deprecated] - File "./src/ssrcomplements.v", line 197, characters 13-23: - Warning: Notation prod_curry is deprecated since 8.13. Use uncurry instead. - [deprecated-syntactic-definition,deprecated] - (cd _build/default && /home/bench/.opam/ocaml-base-compiler.4.07.1/bin/coqc -w -ambiguous-paths -w -notation-overridden -w -redundant-canonical-projection -w -projection-no-head-constant -R src SsrMultinomials src/mpoly.v) - File "./src/mpoly.v", line 984, characters 0-31: - Warning: The default value for hint locality is currently "local" in a - section and "global" otherwise, but is scheduled to change in a future - release. For the time being, adding hints outside of sections without - specifying an explicit locality attribute is therefore deprecated. It is - recommended to use "export" whenever possible. Use the attributes #[local], - #[global] and #[export] depending on your choice. For example: "#[export] - Hint Unfold foo : bar." [deprecated-hint-without-locality,deprecated] - File "./src/mpoly.v", line 1500, characters 20-30: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1500, characters 20-30: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1500, characters 20-30: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1506, characters 20-30: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1506, characters 20-30: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1506, characters 20-30: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1534, characters 10-20: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1534, characters 10-20: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1534, characters 10-20: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1542, characters 10-20: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1542, characters 10-20: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1542, characters 10-20: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1935, characters 11-21: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1935, characters 11-21: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1935, characters 11-21: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1952, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1952, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1952, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1957, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1957, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 1957, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 2096, characters 27-39: - Warning: Notation join_sup_seq is deprecated since mathcomp 1.13.0. - Use joins_sup_seq instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 2096, characters 27-39: - Warning: Notation join_sup_seq is deprecated since mathcomp 1.13.0. - Use joins_sup_seq instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 2479, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 2479, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 2479, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 2866, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 2866, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 2866, characters 8-18: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 4824, characters 10-22: - Warning: Notation join_sup_seq is deprecated since mathcomp 1.13.0. - Use joins_sup_seq instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 4824, characters 10-22: - Warning: Notation join_sup_seq is deprecated since mathcomp 1.13.0. - Use joins_sup_seq instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 5058, characters 25-35: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 5058, characters 25-35: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 5058, characters 25-35: - Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. - Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] - File "./src/mpoly.v", line 5168, characters 0-82: - Warning: The default value for hint locality is currently "local" in a - section and "global" otherwise, but is scheduled to change in a future - release. For the time being, adding hints outside of sections without - specifying an explicit locality attribute is therefore deprecated. It is - recommended to use "export" whenever possible. Use the attributes #[local], - #[global] and #[export] depending on your choice. For example: "#[export] - Hint Unfold foo : bar." [deprecated-hint-without-locality,deprecated] [ERROR] The compilation of coq-mathcomp-multinomials failed at "/home/bench/.opam/opam-init/hooks/sandbox.sh build dune build -p coq-mathcomp-multinomials -j 4". #=== ERROR while compiling coq-mathcomp-multinomials.1.5.4 ====================# # context 2.0.6 | linux/x86_64 | ocaml-base-compiler.4.07.1 | file:///home/bench/run/opam-coq-archive/released # path ~/.opam/ocaml-base-compiler.4.07.1/.opam-switch/build/coq-mathcomp-multinomials.1.5.4 # command ~/.opam/opam-init/hooks/sandbox.sh build dune build -p coq-mathcomp-multinomials -j 4 # exit-code 1 # env-file ~/.opam/log/coq-mathcomp-multinomials-29155-335865.env # output-file ~/.opam/log/coq-mathcomp-multinomials-29155-335865.out ### output ### # [...] # Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] # File "./src/mpoly.v", line 5058, characters 25-35: # Warning: Notation big_uncond is deprecated since mathcomp 1.13.0. # Use big_rmcond instead. [deprecated-syntactic-definition,deprecated] # File "./src/mpoly.v", line 5168, characters 0-82: # Warning: The default value for hint locality is currently "local" in a # section and "global" otherwise, but is scheduled to change in a future # release. For the time being, adding hints outside of sections without # specifying an explicit locality attribute is therefore deprecated. It is # recommended to use "export" whenever possible. Use the attributes #[local], # #[global] and #[export] depending on your choice. For example: "#[export] # Hint Unfold foo : bar." [deprecated-hint-without-locality,deprecated] <><> Error report <><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><> +- The following actions failed | - build coq-mathcomp-multinomials 1.5.4 +- - No changes have been performed # Run eval $(opam env) to update the current shell environment 'opam install -y -v coq-mathcomp-multinomials.1.5.4 coq.dev' failed.
No files were installed.
true


All My life consists of books and coding. I live by the principle: "The code itself will not write." After discovering the Qt Framework, I can no longer look at other GUI – Libraries.
I Like Unix, I like Gentoo. In my free time I compile Android from source code and release unofficial updates for the phone.
Sometimes I interrupt control tests on math and computer science for students. I worked with a SQLite database, I liked it even more than MySQL.
Why choose C++? Because I like to shoot my foot when I work with memory. But seriously, it seems to me a beautiful and pleasant language.
If I don’t answer by phone, I’m probably busy. Write to the mail: dadelin8[at]gmail[dot]com, or in VK:id498051587
All my projects are looking at GitHub.
Unofficial Updates
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— Added ANT+
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--- title: Callback Actions - JavaScript layout: page pageOrder: 4.15 section: 'Mock Server' subsection: false ---
To setup a callback in javascript use JSON to specify the details with the following format:
"httpClassCallback": {
"callbackClass": "org.mypackage.MyCallbackClass"
}


In Getting Started document, a new sample project is created named "Acme.PhoneBook". This document is a complete guide while developing your project.


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This will also be used as your website's address. (Example: www.scanshowsell.com/m/mymobilewebsitename )
Your email address will be your login ID.
Password must be at least 6 characters long, numbers and letters only (no spaces, or special symbols)..


Roger Stone becomes latest friend of Donald Trump to be convicted of lying
Donald Trump’s friend and former adviser Roger Stone has been convicted of lying to try and protect the president.
Stone, 67, was found guilty Friday of obstructing a congressional investigation into Russian interference in the 2016 election.
He was convicted at a court in Washington DC, close to where impeachment proceedings which could end President Trump’s time in the White House continue.
He was charged after changing his story while giving evidence to the US government’s House Intelligence Committee in September 2017.
Stone lied while giving evidence about Russian meddling in the presidential election, which Trump ultimately won.
Stone, convicted of seven crimes in total, was also found to have tried to block the testimony of another potential witness, and concealing evidence for investigators.
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Jurors agreed with prosecutors that Stone had lied because the truth would have ‘looked terrible’ for both President Trump and his campaign, the New York Times reported.
They also disagreed with Stone’s brazen assertion at the time that ‘no one cares’ about his lies by convicting him of crimes likely to lead to a long stretch behind bars.
He will be sentenced at a later date.
Stone spent the months leading up to the November 2016 presidential election trying to obtain emails stolen by Russian hackers containing damaging information about Trump rival Hillary Clinton.
He briefed Team Trump officials about the contents of these emails ‘every chance he got,’ prosecutor Jonathan Kravis Said.
But Stone blustered after being called to the House Intelligence Committee, and ended up incriminating himself.
He joins a long list of other former Trump aides convicted of crimes.
They include the president’s former fixer Michael Cohen, convicted of financial crimes related to a hush money payment made to a porn star who claimed to have had a one night stand with Trump behind his wife Melania’s back.
Others convicted include former national security adviser Michael Flynn, Trump presidential campaign chairman Paul Manafort, and former campaign aide George Papadopoulos.


b58-dec(1) BSD General Commands Manual b58-dec(1)
NAME
b58-dec — decode a base 58-encoded string
SYNOPSIS
b58-dec [−f] [−d] [−x] [B58STRING]
DESCRIPTION
b58-dec decodes its input from base58 and writes the result to standard output, as a byte string by default. If B58STRING is given, the input is taken from that argument. Otherwise the input is taken from standard input, in which case it’s allowed to contain a single newline at the end.
The default base58 encoding is the Bitcoin encoding. See b58(1) for a fuller discussion of the available encodings.
For output formats that are strings representing numbers (see -d and -h), and if the Bitcoin encoding scheme is in use, then any leading null bytes that would exist in the byte string are reported to standard error in the form "null bytes: N", followed by a newline, where N is the number of leading null bytes. In this case, unless b58-dec fails, this will be the only line written to standard error.
Options are:
−f
Flickr-style encoding.
−d, −-decimal
Output the decoded value as a string representing a decimal number, followed by a newline. Leading zero bytes for the Bitcoin scheme are represented as described above.
−x, −-hex
Output the decoded value as a string representing a hexadecimal number, including a leading "0x", followed by a newline. Leading zero bytes for the Bitcoin scheme are represented as described above.
EXIT STATUS
The b58 utility exits 0 on success, and >0 if an error occurs.
A usage error, including providing any invalid data to decode, results in an exit code of 64.
SECURITY CONSIDERATIONS
On most systems, argument lists are visible to other users. So if you’re processing confidential data, feed b58-dec its input on its standard input, rather than in B58STRING.
SEE ALSO
b58(1)
BSD September 23, 2012 BSD


How many do you have?
No, as stated in the About section, this is a business and we will treat it as such. As soon as the contract is fulfilled, we're gone.
Every event is contract based. Whether you choose to visit a new country or pretend to have a friend, all contracts are fulfilled with the utmost respect and care. There are contract timelines, which you can choose from our Build Your Own! page. This can also be discussed with the friend of your choosing.
Well, if you've received a Gift, then most like you're lonely enough to need them involved.


These are a few random ideas I’ve had that are either too time-consuming for me to start or too complex for me to begin.
Automatic snack dispenser for advisory snacks
Each person would have their own individual pin number and the dispenser would probably be controlled using an Arduino. I’d be able to dispense some uniformly shaped snack such as a granola bar. You could keep track of how many snacks each person has taken and have a cooldown timer between dispenses to prevent people from taking too many at once.
Improved bus system design
People would be able to call buses, similar to an uber, but to a specific bus stop and would be able to track the positions of busses through GPS systems. There would also be pay stations at bus stops that would automatically call busses when tickets are purchased (this is for people without smartphones and the payment part is to prevent people from calling busses when not needed). Instead of having set bus routes, an AI automatically updates navigation systems onboard the busses to hit different spots according to the number of people waiting at stops and where people need to go. Using this method, depending on the number of users, bus routes could be significantly more efficient.
Smartphone app to allow people to hear their surroundings when listening to music
I’ve found that while listening to music, it’s annoying to have to take out an earbud whenever someone is talking to you or you want to hear something. This problem could be solved by running an app in the background that uses the microphone in a phone or headset to listen for human speech or loud noises. Instead of taking out your earbuds for situational awareness, a program automatically picks out what you want to hear- speech or loud noises- and overlays it on top of your music.


Tue Nov 20, 2007
Amazon took a stab at revolutionizing the reading world today with the launch of its new wireless reading device called the Kindle. It’s about the size of a paperback, has a built in keyboard and a display that’s easy on the eyes and visible in sunlight. To buy a book you hook into their network through a wireless connection, but it’s more like making a call on your cell because you don’t have to find a hotspot. You also get free access to Wikipedia.
Sounds great, doesn’t it? So what’s stopping the average reader from tossing their bargain bin books onto the bonfire and rushing to join the paperless revolution? Well, that would be the price. At a hefty $400, most casual readers would probably just buy something a bit more versatile, like say, a Swiss army-knife, or an iphone. Book downloads seem a bit pricey as well. Perhaps Amazon will pull a Steve Jobs and slash the price for Christmas ‘09?
I for one am not ready to trade in the luxury of flipping through refashioned tree pulp just yet.


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I am a Responsive Designer & Developer who thrives on creating order out of potential chaos; organising information into a coherent form that looks good and is a joy to use. When I'm not working, I can be found reading a good French book (with a dictionary close to hand).


Let us know how we can improve freeCodeCamp
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#simple #accessible #resilient #fast #distributed #diverse #empowering #open #evolving #playfull
A11y – poor connexions – old computers – Disabled Javascript – Wget
Forgiveness by default is absolutely required for the kind of large-scale, worldwide adoption that the web enjoys.
Jeff Atwood — JavaScript and HTML: Forgiveness by DefaultAnother argument to the winning open web platform.
Today's solutions are tomorrow's problems
Amazon admits that a typo took the internet down this week
Engadget 2017-03-02For perspective, by the end of 1992 there were seven web browsers which allowed users to surf the vast ocean of what was at the time only 22 known Websites.
Brian Kardell – A Brief(ish) History of the Web Universe - Part III: The Early Web
1999: there are millions of websites all hyperlinked together
2019: there are four websites, each filled with screenshots of the other three.
For a while, before a third of the planet had signed up for Facebook, RSS was simply how many people stayed abreast of news on the internet.
Aaron Swartz – The Rise and Demise of RSS| Présentation | reveal.js |
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Maintenant ou plus tard ... @zufrieden


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21st OCT 2014
UXBudapest Meetup / Ultra-High Fidelity Prototyping with Framer.js
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Super secret Prezi stuff... :)
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Configuration of Project Environment¶
This is an API that implements a system to evaluate odometry trajectories.
Overview on How to Run this API¶
Either install a Python IDE or create a Python virtual environment to install the packages required
Install packages required
Setup procedure¶
- Configure project environment (Either A. Install Pycharm OR B. Create a Virtual Environment)
- Install Pycharm (www.jetbrains.com/pycharm/download/) or Sublime (https://www.sublimetext.com/3)
configure pylinter
- Create a Python Virtual Environment
Install virtualenv:
sudo pip install virtualenv
Create virtialenv:
virtualenv -p python3 <name of virtualenv>
Install requirements:
pip install -r requirements.txt
Run app.py
python run.py path_gt path_pred -v python run.py path_gt path_pred -ate python run.py path_gt path_pred -rpe python run.py path_gt path_pred -v -ate -rpe
Documentation for the Code¶
Visualize Functions¶
- NAME
visualize
- DESCRIPTION
Module that implements methods to plot ground_truth trajectories and estimated for 6D poses.
- METHODS
- get_xy(pose)
Function that extracts (x,y) positions from a list of 6D poses.
- get_seq_start(pose)
Function that extracts the first (x,y) point from a list of 6D poses.
- EXAMPLES
gt = np.load(‘04.npy’) # create plot obj plt.clf() # get gt_poses gt_x, gt_y = get_xy(gt) # get sequence start x_start, y_start = get_seq_start(gt) # plot gt plt.scatter(x_start, y_start, label=’Sequence Start’, color=’black’) plt.plot(gt_x, gt_y, color=’g’, label=’Ground Truth’) # make the adjust for compute just translation # instead of absolute position plt.gca().set_aspect(‘equal’, adjustable=’datalim’) # show plot plt.legend() plt.show()
RPE Functions¶
- NAME
rpe_calc
- DESCRIPTION
Module that implements methods to calculate the relative pose error between two trajectories.
- METHODS
- convert_pose_se3(pose_tst, pose_rot)
Convert a rotation matrix (or euler angles) plus a translation vector into a 4x4 pose representation.
- relative_se3(pose_1, pose_2)
Relative pose between two poses (drift).
- se3_inverse(pose)
The inverse of a pose.
- calc_rpe_pair(Q_i, Q_i_delta, p_i, p_i_delta)
The relative error between GT and Predict.
- so3_log(rot_matrix)
Gets the rotation matrix from pose.
- calculate_rpe_vector(gt_tst, gt_rot, pred_tst, pred_rot)
Gets a vector of relative errors for all poses.
- calc_rpe_error(error_vector, error_type=’rotation_angle_deg’)
Calculate an specific error from relatives errors.
- get_statistics(rpe_vector)
Statistics of a vector.
- EXAMPLES
# calculate rpe errors vector rpe_vector = calculate_rpe_vector(gt_tst, gt_rot, pred_tst, pred_rot) rpe_error = calc_rpe_error(rpe_vector)
# calculate errors statistics statistics = get_statistics(rpe_error)
-
src.rpe_calc.
calc_rpe_error
(error_vector, error_type='rotation_angle_deg')[source]¶ Calculate an specific error from relatives errors.
- error_vectorlist
List of relative errors.
- error_typestr
Type of relative error to compute.
- errorlist
The error asked by user.
-
src.rpe_calc.
calc_rpe_pair
(q_i, q_i_delta, p_i, p_i_delta)[source]¶ The relative error between GT and Predict.
- q_inp.array
The pose at time i.
- q_i_deltanp.array
The pose at time i + delta.
- p_inp.array
The predicted pose at time i.
- p_i_deltanp.array
The predicted pose at time i + delta.
- np.float32
The relative distance between two poses.
-
src.rpe_calc.
calculate_rpe_vector
(gt_tst, gt_rot, pred_tst, pred_rot)[source]¶ Gets a vector of relative errors for all poses.
- gt_tstnp.array
The (x,y,z) of the ground truth.
- gt_rotnp.array
The (theta_x, theta_y, theta_z) of the ground truth.
- pred_tstnp.array
The (x,y,z) of the predict pose.
- pred_rotnp.array
The (theta_x, theta_y, theta_z) of the predict pose.
- errorslist
The list of relative errors.
-
src.rpe_calc.
convert_pose_se3
(pose_tst, pose_rot)[source]¶ Convert a rotation matrix (or euler angles) plus a translation vector into a 4x4 pose representation.
- pose_tstnp.array
The (x,y,z) of pose.
- pose_rotnp.array
The (theta_x, theta_y, theta_z) of pose.
- np.array (4x4)
The pose 4x4 matrix.
-
src.rpe_calc.
get_statistics
(rpe_vector)[source]¶ Statistics of a vector.
- rpe_vectorlist
List of errors.
- dict
Dict with statistics of a list.
-
src.rpe_calc.
relative_se3
(pose_1, pose_2)[source]¶ Relative pose between two poses (drift).
- pose_1np.array
The first pose.
- pose_2np.array
The second pose.
- np.float32
The relative transformation pose_1^{⁻1} * pose_2.
ATE Functions¶
- NAME
ate_calc
- DESCRIPTION
Module that implements methods to calculate the absolute trajectory error between two trajectories.
- METHODS
- compute_ate(gt_tst, pred_tst)
Calculate the absolute trajectory error between two poses. Based on LearnerLee - KITTI_odometry_evaluation_tool repository.
- compute_ate_horn(gt_tst, pred_tst)
Calculate the absolute trajectory error between two poses. Based on Horn align method. Explained by https://vision.in.tum.de/.
- ate_xyz(alignment_error)
Calculate the statistics for separate axis.
- EXAMPLES
# get translational attrs gt_tst = [v for v in gt_poses[:, 3:6]] pred_tst = [v for v in pred_poses[:, 3:]]
alignment_error, trans_error = compute_ate_horn(gt_tst, pred_tst) statistics = ate_xyz(alignment_error)
-
src.ate_calc.
ate_xyz
(alignment_error)[source]¶ Calculate the statistics for separate axis.
- gt_tstlist
List of ground truth poses.
- pred_tstlist
List of predict poses.
- alignment_errornp.array (3xn)
A matrix of errors by axis.
- trans_errorlist
The sum of error by row.
-
src.ate_calc.
compute_ate
(gt_tst, pred_tst)[source]¶ Calculate the absolute trajectory error between two poses. Based on LearnerLee - KITTI_odometry_evaluation_tool repository.
- gt_tstlist
List of ground truth poses.
- pred_tstlist
List of predict poses.
- alignment_errornp.array (nx3)
A matrix of errors by axis.
-
src.ate_calc.
compute_ate_horn
(gt_tst, pred_tst)[source]¶ Calculate the absolute trajectory error between two poses. Based on Horn align method. Explained by https://vision.in.tum.de/.
- gt_tstlist
List of ground truth poses.
- pred_tstlist
List of predict poses.
- alignment_errornp.array (3xn)
A matrix of errors by axis.
- trans_errorlist
The sum of error by row.


Nicholas Wolf and Vicky Steeves | October 17, 2017
Vicky's ORCID: 0000-0003-4298-168X | Nick's ORCID: 0000-0001-5512-6151
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
That's it!
mynumber = 1
import
'abcd' 'Jack' '5f7three'
1 2300 75
[“abcd”, 1, “Jack”, 2300]
{“Jack”: 1 , “abcd” : “5f7three” , 3 : “three” }
mylist = [1 , 2, 3] print(mylist) >> [1, 2, 3]
dirwindows = r'C:\Users\USERNAME\Desktop\FILENAME'
dirmac = r'/Users/USERNAME/Desktop/FILENAME'
Email me<EMAIL_ADDRESS>Learn more about RDM: guides.nyu.edu/data_management
Get this presentation: guides.nyu.edu/data_management/resources
Make an appointment: guides.nyu.edu/appointment
Vicky's ORCID: 0000-0003-4298-168X | Nick's ORCID: 0000-0001-5512-6151
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


NGO holds free medical outreach - The Nation Newspaper
By Ibrahim Kegbegbe
Hundreds of widows and widowers have benefited from the medical outreach organised by a Non-Governmental organisation, Glance Fancier International Foundation (GFIF) in conjunction with Ojodu Local Council Development Area (LCDA) and Rotary International.
The one-day Free Family Medical Outreach was held at Omole Estate in Lagos.
Doctors and nurses offered various medical services, including, tests on malaria, blood pressure, HIV, sugar level and eye test, among others.
There was also the distribution of mosquito nets, medication and eyeglasses to the participants.
Medical experts also gave talks on wellness, healthy living and cancer awareness.
According to GFIF’s Chief Executive Officer Mrs Gbemisola Fatiha Rufai, said the outreach was in furtherance of the NGO’s humanitarian service.
The retired civil servant said the event was to take care of the less privileged individuals, especially widows.
Mrs Rufai said: “Today, we have empowered over a hundred people with this outreach. We distributed mosquito nets as well as drugs. Doctors and Nurses are here to check participants’ sugar and blood levels, HIV and malaria tests. Those that are HIV positive will be referred to the appropriate quarters.
Read Also: WHO rejects accusation of inadequate Ebola vaccine in Congo
“We have a doctor from Houston, Texas in the United States, Dr. Sunkanmi Adeyinka to give the participants talk on well-being and healthy living.
Rufai explained that over 5,000 youths and widows have been empowered by the foundation since its establishment in 1989.
“We are specialised in empowering the less privileged widows and youths with financial assistance and vocational training. We know the plight of widows and what we can do for them is to elevate their standard of living,” she said.
Dr. Adeyinka told the participants to eat healthy and engage in regular exercise.
She said those who don’t do regular exercise are prone to having diabetes, heart disease, high blood pressure, stroke and kidney disease.
“Eating of fruits, vegetables, engaging in daily exercises and consultation of medical experts for medical check-up may prevent the body from diseases,” she said.


one
two
three
showChild!!!
{{item.id}} = {{item.name}}
sdasadadasdasdasdada
this model is use $rootScope.showMe


October 19 16:00 to October 31 23:59
Exchange deadline is November 7 23:59
Requirement to participate is clearing Hitagi Club 01-003
Collect "Sweets" and "Pumpkins" in exchange for Event-Only Scenes and other items at the exchange place
How to get Sweets and Pumpkins
The Event is made up of 5 Event Maps and 2 Bonus Maps.
For every stage you are required to use a PucPuc with a specific trait which could be something simple like "Use Koyomi" or more specific like "Use someone with a headgear".
The Event PucPucs and Scenes give bonuses to the rewards.
There are two Bonus stages that are available at the top of the Event Map.
The red Bonus stage is available at all times and should be ignored until all stages are finished.
The blue Bonus stage can pop up at random and should be done immediately.
Official Site


What are the fundamental things about JavaScript that you wish you’d known when you first started as a developer?
This is a question I have been asked by the amazing Pippa Buchanan from the P2PU school of webcraft. Here is my answer :
I think that JS is a sum of a lot of technologies and that web developers should very early be aware of the differences between them:
1) ECMAScript: That’s the core language JavaScript is based on. That’s “just a programming language”. It defines the JavaScript native types. This include Objects, Arrays and functions
2) The document object inherits form a lot of different interfaces:
- Node which is “just here” for the tree structure (ok, well, a bit more). This interface is common with Elements and contains parentNode, cloneNode…
- Document which contains .createElement, .getElementById. This interface is the one used by the responseXML attribute of XMLHttpRequest. This is common with XML-based documents.
- HTMLDocument. It adds a bunch of HTML-specific things like .body, .links or the .write method (this last one should be avoided, but that’s another story)
- HTML5 redefines the HTMLDocument interface and add for instance .getElementsByClassName()
3) Events
Besides that, the event programming paradigm is not easy to understand. Unlike “C programming” where you have a “main” function and a “return” at the end, JavaScript isn’t continuously executed. There is a bit of execution at the beginning for initialization purposes and after that it’s all user (click/keypress) or network (XMLHttpRequest events) or clock (settimeout) driven which could be all summarized as “events” (even if the clock “events” aren’t DOM events).
The DOM event mechanism is well explained in one picture.
on
2010-11-29
by


Knowing that our brains are always capable of change and growing new neural pathways is incredibly empowering. You can literally re-wire your brain. What it means is that it’s possible to change dysfunctional patterns of behaviour, develop new skills, change ways of thinking and develop new abilities. It’s what allows people to be resilient in adversity and the opposite case being a loss of synapses caused by severe stress resulting in people getting stuck in depressive ruts.
In my circus training life I have used some of the principles before. Admittedly I have not stuck to them so have not felt huge benefits yet but I intend to bring more visualisation into my practice so that I can create stronger neural pathways to the harder tricks that I am struggling to achieve.
And in terms of learning the code for this course, well I think we have already been inadvertently doing it by relating all of the concepts we are learning with “real life” scenarios. As they say in neuroscience realms – cells that fire together, wire together – and I think the more relatable and applicable you can make your learning, the more pathways to those memories you will create and those pathways the more they are practiced and recalled will become stronger.
There are many different ways you can increase your neuroplasticity. I like to think of it simply as trying to live life to the fullest and consequently the path this will take you down is one that is engaging, socially stimulating, meaningful and has a strong mindfulness/meditation practice.
Exercise is an obvious place to start as well. Exercise stimulates the release of a substance known as brain-derived neurotropic factor, which encourages the growth of new synaptic connections and strengthens the signals transmitted from neuron to neuron.
Its antithesis is stress… now I’m not going to tell you to stop being stressed or you’ll be fired but it’s worth mentioning as part of a strategy to increase neuroplasticity. How are you going to manage the inevitable stressors in your life? Meditation for one is a great tool for learning how to manage your reactions to stress and hopefully lesson the harmful consequences of too much stress on the mind and body.
Useful article I read to help me write this: Neuroplasticity
A growth mindset is one that believes it is capable of change and growth vs. a fixed mindset which believes that talents and abilities are innate and fixed and cannot be improved with effort. It’s relevant in the context of learning programming because you could simply believe (I know I believed it for a long time) that you are just “not the type of person who would code” and this would be a limiting belief that actually stops you from even trying.
The growth mindset is not a new concept to me but interestingly while thinking about this, I’ve reflected on how I spoke about myself before in terms of learning programming. I would always say “I wish I was the type of person who was interested in coding” or “I wish my brain was wired that way” which upon reflection was a limiting belief that kept me away from even thinking about trying to learn programming.
A big part of the growth mindset that I want to take into my learning journey is making my effort meaningful and intentional. I already practice mindfulness and actively try to take on a positive mindset to my learning, however it needs a little bit more than that. As Carol Dweck has noted, the effort should be productive to be rewarded and that this effort needs to be applied to worthwhile activities. For example, I could easily go down a rabbit-hole learning about the history of javascript and put a lot of effort into this, but in terms of why I’m here at Dev Academy it would be pretty pointless. The effort would not be productive (and was probably an unexciting form of procrastination). So what I want to do more of in this learning journey, is recognise when I’m not learning or engaging, switch it up/stop and move onto an activity that is stimulating and taking me into the learning zone where my effort becomes productive.
I found this resource quite good for giving lots of different examples of changing mindset and how to do this in practice: Growth Mindset vs Fixed Mindset


Home
Register details
Feedback details
Performance analysis
chart
neutral
sadness
worry
Future
Performance Analysis on Student Feedback
PERFORMANCE ANALYSIS
Precision and recall
Recall Precision
neutral(0)
0.73 0.85
sadness(1)
0.38 0.28
worry(2)
0.59 0.60
Confusion Matrix


WELCOME TO HAPPY TRAILS TRAVEL AGENCY ACCOMMODATIONS
If you
are interested in booking accommodation, kindly send an email to
Stacy
<EMAIL_ADDRESS>or go to
contacts page.


Dhanashree Marathe
About me
Get to know me
CCC3
My sample work
Roll the Dice
Animated Menu
Some CSS3 Effects
HTML5
Some fun with HTML5 Canvas
Chart
Pie chart using javascript plugin
JQuery
Some effects on image using JQuery plugin
Resume
Click to see detail Resume


When the alias, action, tab completion, variable or macro list is
changed in
any way the client prints a message to the terminal screen letting
you know
about it. You can toggle these messages on or off with this command.
types are: actions, aliases, bar items,
events, list, macros, tablist,
variables.
Click here to return to previous page.


// Must be filled by JavaScript
"resolution": { "func": "glUniform2f", "args": [ 256.0, 256.0 ] }
Start rendering
Stop rendering


|
|
EventProvider
The EventProvider
sample demonstrates a WMI event provider.
EventProvider generates a WMI event of class MyEvent every two
seconds. WMI applications can register
to receive these events. The
TempConsumer sample provided with the WMI SDK is a simple example of an
application that registers for and displays the MyEvent class events
generated by this provider.
NOTE: The
EventProvider sample should be built and registered as indicated below prior to
using the TempConsumer sample. Without
the EventProvider sample in place, there will be no events for TempConsumer to
receive. Please refer to the
TempConsumer sample documentation for instructions on building and using the
TempConsumer application.
Building the Provider DLL
The DLL can be built
from the command line using NMAKE, or it can be built using Microsoft Visual
C++.
From the command line
in the sample installation directory:
NMAKE /f "Makefile"
From Microsoft Visual
C++:
1.
Select File +
Open Workspace
2.
Select the
EventProvider.DSP file
Registering the DLL and Class
1.
The DLL must
be registered with COM. From the command line in the sample installation
directory, type the following:
REGSVR32 evprov.dll
2.
You must also
compile the MOF in order to make the WMI CIMOM aware of the class. From the command line in the sample
installation directory type the following:
MOFCOMP evprov.mof
General Notes
Things
to remember when you're building your own WMI provider:
1.
WMI interfaces are defined
in wbemcli.h and wbemprov.h found in the wmi\include directory. You may #include both these files by
including just wbemidl.h located in the same directory.
2.
WMI interface CLSIDs are
defined in wbemuuid.lib. If you get unresolved externals in interfaces and
CLSIDs, this is what is missing.
3.
You'll need to link with
oleaut32.lib and ole32.lib to get the needed COM support.
4.
In the Link|Output
settings, specify 'wWinMainCRTStartup' as the entry point. This is per the
Unicode programming instructions.
5.
If you're using the makefiles, don't forget to set the Visual C++
environment variables. This is done by running VCVARS32.BAT.


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--- title: Very simple diagram --- stateDiagram accTitle: This is the accessible title accDescr:This is an accessible description State1 --> State2
classDef
statements:
classDef notMoving fill:white
classDef movement font-style:italic
classDef badBadEvent
fill:#f00,color:white,font-weight:bold,stroke-width:2px,stroke:yellow
class Still notMoving
class Moving, Crash movement
class Crash badBadEvent
--- title: Very simple diagram --- stateDiagram direction TB accTitle: This is the accessible title accDescr: This is an accessible description classDef notMoving fill:white classDef movement font-style:italic classDef badBadEvent fill:#f00,color:white,font-weight:bold,stroke-width:2px,stroke:yellow [*]--> Still Still --> [*] Still --> Moving Moving --> Still Moving --> Crash Crash --> [*] class Still notMoving class Moving, Crash movement class Crash badBadEvent class end badBadEvent
classDef
statements:
classDef notMoving fill:white
classDef movement font-style:italic
classDef badBadEvent
fill:#f00,color:white,font-weight:bold,stroke-width:2px,stroke:yellow
[*] --> Still:::notMoving
...
Still --> Moving:::movement
...
Moving --> Crash:::movement
Crash:::badBadEvent --> [*]
Note that both the starting state and the end state have styles applied:
The start state has the start classDef style
and the end state has the
stop classDef style applied.
stateDiagram direction TB accTitle: This is the accessible title accDescr: This is an accessible description classDef notMoving fill:white classDef movement font-style:italic classDef badBadEvent fill:#f00,color:white,font-weight:bold,stroke-width:2px,stroke:yellow [*] --> Still:::notMoving Still --> [*] Still --> Moving:::movement Moving --> Still Moving --> Crash:::movement Crash:::badBadEvent --> [*]
stateDiagram-v2 accTitle: very very simple state accDescr: This is a state diagram showing one state State1
stateDiagram classDef yourState font-style:italic,font-weight:bold,fill:white yswsii: Your state with spaces in it [*] --> yswsii:::yourState [*] --> SomeOtherState SomeOtherState --> YetAnotherState yswsii --> YetAnotherState YetAnotherState --> [*]
stateDiagram-v2 [*] --> State1 State1 --> State2 : Transition 1 State1 --> State3 : Transition 2 State1 --> State4 : Transition 3 State1 --> [*]
stateDiagram-v2 [*] --> First First --> Second First --> Third state "the first composite" as First { [*] --> 1st state innerFirst { state "1 in innerFirst" as 1st1st 1st2nd: 2 in innerFirst [*] --> 1st1st 1st1st --> 1st2nd %% 1st2nd --> 1st } 1st --> innerFirst innerFirst --> 2nd } state Second { 2nd --> [*] } state Third { [*] --> 3rd 3rd --> [*] }
stateDiagram-v2 state Active { Idle } Inactive --> Idle: ACT Active --> Active: LOG
stateDiagram-v2 [*] --> S1 S1 --> S2: This long line uses a br tag
to create multiple
lines. S1 --> S3: This transition descripton uses \na newline character\nto create multiple\nlines.
stateDiagram-v2 direction LR State1: A state with a note note right of State1 Important information!
You can write notes.
And\nthey\ncan\nbe\nmulti-\nline. end note State1 --> State2 note left of State2 : Notes can be to the left of a state\n(like this one). note right of State2 : Notes can be to the right of a state\n(like this one).


Chapter 11 Leveraging Database Views
This chapter demonstrates how to:
- Understand database views and their uses
- Unpack a database view to see what it’s doing
- Reproduce a database view with dplyr code
- Write an alternative to a view that provides more details
- Create a database view either for personal use or for submittal to your enterprise DBA
11.1 Setup our standard working environment
Use these libraries:
library(tidyverse)
library(DBI)
library(RPostgres)
library(connections)
library(glue)
require(knitr)
library(dbplyr)
library(sqlpetr)
library(bookdown)
library(lubridate)
library(gt)
Connect to adventureworks
:
# con <- connection_open( # use in an interactive session
con <- dbConnect( # use in other settings
RPostgres::Postgres(),
# without the previous and next lines, some functions fail with bigint data
# so change int64 to integer
bigint = "integer",
host = "localhost",
port = 5432,
user = "postgres",
password = "postgres",
dbname = "adventureworks"
)
dbExecute(con, "set search_path to sales;") # so that `dbListFields()` works
## [1] 0
11.2 The role of database views
A database view
is an SQL query that is stored in the database. Most views
are used for data retrieval, since they usually denormalize the tables involved. Because they are standardized and well-understood, they can save you a lot of work and document a query that can serve as a model to build on.
11.2.1 Why database views
are useful
Database views
are useful for many reasons.
- Authoritative: database
views
are typically written by the business application vendor or DBA, so they contain authoritative knowledge about the structure and intended use of the database. - Performance:
views
are designed to gather data in an efficient way, using all the indexes in an efficient sequence and doing as much work on the database server as possible. - Abstraction:
views
are abstractions or simplifications of complex queries that provide customary (useful) aggregations. Common examples would be monthly totals or aggregation of activity tied to one individual. - Reuse: a
view
puts commonly used code in one place where it can be used for many purposes by many people. If there is a change or a problem found in aview
, it only needs to be fixed in one place, rather than having to change many places downstream. - Security: a view can give selective access to someone who does not have access to underlying tables or columns.
- Provenance:
views
standardize data provenance. For example, theAdventureWorks
database all of them are named in a consistent way that suggests the underlying tables that they query. And they all start with a v.
The bottom line is that views
can save you a lot of work.
11.2.2 Rely on – and be critical of – views
Because they represent a commonly used view of the database, it might seem like a view
is always right. Even though they are conventional and authorized, they may still need verification or auditing, especially when used for a purpose other than the original intent. They can guide you toward what you need from the database but they could also mislead because they are easy to use and available. People may forget why a specific view exists and who is using it. Therefore any given view might be a forgotten vestige. part of a production data pipeline or a priceless nugget of insight. Who knows? Consider the view
’s owner, schema, whether it’s a materialized index view or not, if it has a trigger and what the likely intention was behind the view.
11.3 Unpacking the elements of a view
in the Tidyverse
Since a view is in some ways just like an ordinary table, we can use familiar tools in the same way as they are used on a database table. For example, the simplest way of getting a list of columns in a view
is the same as it is for a regular table:
## [1] "salespersonid" "fullname" "jobtitle" "salesterritory"
## [5] "salestotal" "fiscalyear"
11.3.1 Use a view
just like any other table
From a retrieval perspective a database view
is just like any other table. Using a view to retrieve data from the database will be completely standard across all flavors of SQL.
v_salesperson_sales_by_fiscal_years_data <-
tbl(con, in_schema("sales","vsalespersonsalesbyfiscalyearsdata")) %>%
collect()
str(v_salesperson_sales_by_fiscal_years_data)
## Classes 'tbl_df', 'tbl' and 'data.frame': 48 obs. of 6 variables:
## $ salespersonid : int 275 275 275 275 276 276 276 276 277 277 ...
## $ fullname : chr "Michael G Blythe" "Michael G Blythe" "Michael G Blythe" "Michael G Blythe" ...
## $ jobtitle : chr "Sales Representative" "Sales Representative" "Sales Representative" "Sales Representative" ...
## $ salesterritory: chr "Northeast" "Northeast" "Northeast" "Northeast" ...
## $ salestotal : num 63763 2399593 3765459 3065088 5476 ...
## $ fiscalyear : num 2011 2012 2013 2014 2011 ...
As we will see, our sample view
, vsalespersonsalesbyfiscalyearsdata
joins 5 different tables. We can assume that subsetting or calculation on any of the columns in the component tables will happen behind the scenes, on the database side, and done correctly. For example, the following query filters on a column that exists in only one of the view
’s component tables.
tbl(con, in_schema("sales","vsalespersonsalesbyfiscalyearsdata")) %>%
count(salesterritory, fiscalyear) %>%
collect() %>% # ---- pull data here ---- #
pivot_wider(names_from = fiscalyear, values_from = n, names_prefix = "FY_")
## # A tibble: 10 x 5
## # Groups: salesterritory [10]
## salesterritory FY_2014 FY_2011 FY_2013 FY_2012
## <chr> <int> <int> <int> <int>
## 1 Southwest 2 2 2 2
## 2 Northeast 1 1 1 1
## 3 Southeast 1 1 1 1
## 4 France 1 NA 1 1
## 5 Canada 2 2 2 2
## 6 United Kingdom 1 NA 1 1
## 7 Northwest 3 2 3 2
## 8 Central 1 1 1 1
## 9 Australia 1 NA 1 NA
## 10 Germany 1 NA 1 NA
Although finding out what a view does behind the scenes requires that you use functions that are not standard, doing so has several general purposes:
- It is satisfying to know what’s going on behind the scenes.
- Specific elements or components of a
view
might be worth plagiarizing or incorporating in our queries. - It is necessary to understand the mechanics of a
view
if we are going to build on what it does or intend to extend or modify it.
11.3.2 SQL source code
Functions for inspecting a view itself are not part of the ANSI standard, so they will be database-specific. Here is the code to retrieve a PostgreSQL view (using the pg_get_viewdef
function):
view_definition <- dbGetQuery(con, "select
pg_get_viewdef('sales.vsalespersonsalesbyfiscalyearsdata',
true)")
The PostgreSQL pg_get_viewdef
function returns a data frame with one column named pg_get_viewdef
and one row. To properly view its contents, the \n
character strings need to be turned into new-lines.
 Studying the SQL in a view is particularly useful to:
- Test your understanding of the database structure, elements, and usage
- Extend what’s already been done to extract useful data from the database
11.3.3 The ERD as context for SQL code
A database Entity Relationship Diagram (ERD) is very helpful in making sense of the SQL in a view
. The ERD for AdventureWorks
is here. If a published ERD is not available, a tool like the PostgreSQL pg_modeler is capable of generating an ERD (or at least describing the portion of the database that is visible to you).
11.3.4 Selecting relevant tables and columns
Before bginning to write code, it can be helpful to actually mark up the ERD to identify the specific tables that are involved in the view you are going to reproduce.
Define each table that is involved and identify the columns that will be needed from that table. The sales.vsalespersonsalesbyfiscalyearsdata
view joins data from five different tables:
- sales_order_header
- sales_territory
- sales_person
- employee
- person
For each of the tables in the view
, we select the columns that appear in the sales.vsalespersonsalesbyfiscalyearsdata
. Selecting columns in this way prevents joins that dbplyr
would make automatically based on common column names, such as rowguid
and ModifiedDate
columns, which appear in almost all AdventureWorks
tables. In the following code we follow the convention that any column that we change or create on the fly uses a snake case naming convention.
sales_order_header <- tbl(con, in_schema("sales", "salesorderheader")) %>%
select(orderdate, salespersonid, subtotal)
sales_territory <- tbl(con, in_schema("sales", "salesterritory")) %>%
select(territoryid, territory_name = name)
sales_person <- tbl(con, in_schema("sales", "salesperson")) %>%
select(businessentityid, territoryid)
employee <- tbl(con, in_schema("humanresources", "employee")) %>%
select(businessentityid, jobtitle)
In addition to selecting rows as shown in the previous statements, mutate
and other functions help us replicate code in the view
such as:
((p.firstname::text || ' '::text) ||
COALESCE(p.middlename::text || ' '::text,
''::text)) || p.lastname::text AS fullname
The following dplyr code pastes the first, middle and last names together to make full_name
:
person <- tbl(con, in_schema("person", "person")) %>%
mutate(full_name = paste(firstname, middlename, lastname)) %>%
select(businessentityid, full_name)
Double-check on the names that are defined in each tbl
object. The following function will show the names of columns in the tables we’ve defined:
Verify the names selected:
## [1] "orderdate" "salespersonid" "subtotal"
## [1] "territoryid" "territory_name"
## [1] "businessentityid" "territoryid"
## [1] "businessentityid" "jobtitle"
## [1] "businessentityid" "full_name"
11.3.5 Join the tables together
First, join and download all of the data pertaining to a person. Notice that since each of these 4 tables contain businessentityid
, dplyr will join them all on that common column automatically. And since we know that all of these tables are small, we don’t mind a query that joins and downloads all the data.
salesperson_info <- sales_person %>%
left_join(employee) %>%
left_join(person) %>%
left_join(sales_territory) %>%
collect()
## Joining, by = "businessentityid"
## Joining, by = "businessentityid"
## Joining, by = "territoryid"
## Classes 'tbl_df', 'tbl' and 'data.frame': 17 obs. of 5 variables:
## $ businessentityid: int 274 275 276 277 278 279 280 281 282 283 ...
## $ territoryid : int NA 2 4 3 6 5 1 4 6 1 ...
## $ jobtitle : chr "North American Sales Manager" "Sales Representative" "Sales Representative" "Sales Representative" ...
## $ full_name : chr "Stephen Y Jiang" "Michael G Blythe" "Linda C Mitchell" "Jillian Carson" ...
## $ territory_name : chr NA "Northeast" "Southwest" "Central" ...
The one part of the view that we haven’t replicated is:
date_part('year'::text, soh.orderdate
+ '6 mons'::interval) AS fiscalyear
The lubridate
package makes it very easy to convert orderdate
to fiscal_year
. Doing that same conversion without lubridate (e.g., only dplyr and ANSI-STANDARD SQL) is harder. Therefore we just pull the data from the server after the left_join
and do the rest of the job on the R side. Note that this query doesn’t correct the problematic entry dates that we explored in the chapter on Asking Business Questions From a Single Table. That will collapse many rows into a much smaller table. We know from our previous investigation that Sales Rep into sales are recorded more or less once a month. Therefore most of the crunching in this query happens on the database server side.
sales_data_fiscal_year <- sales_person %>%
left_join(sales_order_header, by = c("businessentityid" = "salespersonid")) %>%
group_by(businessentityid, orderdate) %>%
summarize(sales_total = sum(subtotal, na.rm = TRUE)) %>%
mutate(
orderdate = as.Date(orderdate),
day = day(orderdate)
) %>%
collect() %>% # ---- pull data here ---- #
mutate(
fiscal_year = year(orderdate %m+% months(6))
) %>%
ungroup() %>%
group_by(businessentityid, fiscal_year) %>%
summarize(sales_total = sum(sales_total, na.rm = FALSE)) %>%
ungroup()
Put the two parts together: sales_data_fiscal_year
and person_info
to yield the final query.
salesperson_sales_by_fiscal_years_dplyr <- sales_data_fiscal_year %>%
left_join(salesperson_info) %>%
filter(!is.na(territoryid))
## Joining, by = "businessentityid"
Notice that we’re dropping the Sales Managers who appear in the salesperson_info
data frame because they don’t have a territoryid
.
11.4 Compare the official view and the dplyr output
Use pivot_wider
to make it easier to compare the native view
to our dplyr replicate.
salesperson_sales_by_fiscal_years_dplyr %>%
select(-jobtitle, -businessentityid, -territoryid) %>%
pivot_wider(names_from = fiscal_year, values_from = sales_total,
values_fill = list(sales_total = 0)) %>%
arrange(territory_name, full_name) %>%
filter(territory_name == "Canada")
## # A tibble: 2 x 6
## full_name territory_name `2011` `2012` `2013` `2014`
## <chr> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 Garrett R Vargas Canada 9109. 1254087. 1179531. 1166720.
## 2 José Edvaldo Saraiva Canada 106252. 2171995. 1388793. 2259378.
v_salesperson_sales_by_fiscal_years_data %>%
select(-jobtitle, -salespersonid) %>%
pivot_wider(names_from = fiscalyear, values_from = salestotal,
values_fill = list(salestotal = 0)) %>%
arrange(salesterritory, fullname) %>%
filter(salesterritory == "Canada")
## # A tibble: 2 x 6
## fullname salesterritory `2011` `2012` `2013` `2014`
## <chr> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 Garrett R Vargas Canada 9109. 1254087. 1179531. 1166720.
## 2 José Edvaldo Saraiva Canada 106252. 2171995. 1388793. 2259378.
The yearly totals match exactly. The column names don’t match up, because we are using snake case convention for derived elements.
11.5 Revise the view to summarize by quarter not fiscal year
To summarize sales data by SAles Rep and quarter requires the %m+%
infix operator from lubridate. The interleaved comments in the query below has hints that explain it. The totals in this revised query are off by a rounding error from the totals shown above in the fiscal year summaries.
tbl(con, in_schema("sales", "salesorderheader")) %>%
group_by(salespersonid, orderdate) %>%
summarize(subtotal = sum(subtotal, na.rm = TRUE), digits = 0) %>%
collect() %>% # ---- pull data here ---- #
# Adding 6 months to orderdate requires a lubridate function
mutate(orderdate = as.Date(orderdate) %m+% months(6),
year = year(orderdate),
quarter = quarter(orderdate)) %>%
ungroup() %>%
group_by(salespersonid, year, quarter) %>%
summarize(subtotal = round(sum(subtotal, na.rm = TRUE), digits = 0)) %>%
ungroup() %>%
# Join with the person information previously gathered
left_join(salesperson_info, by = c("salespersonid" = "businessentityid")) %>%
filter(territory_name == "Canada") %>%
# Pivot to make it easier to see what's going on
pivot_wider(names_from = quarter, values_from = subtotal,
values_fill = list(Q1 = 0, Q2 = 0, Q3 = 0, Q4 = 0), names_prefix = "Q", id_cols = full_name:year) %>%
select(`Name` = full_name, year, Q1, Q2, Q3, Q4) %>%
mutate(`Year Total` = Q1 + Q2 + Q3 + Q4) %>%
head(., n = 10) %>%
gt() %>%
fmt_number(use_seps = TRUE, decimals = 0, columns = vars(Q1,Q2, Q3, Q4, `Year Total`))
| Name | year | Q1 | Q2 | Q3 | Q4 | Year Total |
|---|---|---|---|---|---|---|
| Garrett R Vargas | 2011 | NA | NA | NA | 9,109 | NA |
| Garrett R Vargas | 2012 | 233,696 | 257,287 | 410,518 | 352,587 | 1,254,088 |
| Garrett R Vargas | 2013 | 316,818 | 203,647 | 291,333 | 367,732 | 1,179,530 |
| Garrett R Vargas | 2014 | 393,788 | 336,984 | 290,536 | 145,413 | 1,166,721 |
| José Edvaldo Saraiva | 2011 | NA | NA | NA | 106,252 | NA |
| José Edvaldo Saraiva | 2012 | 521,794 | 546,962 | 795,861 | 307,379 | 2,171,996 |
| José Edvaldo Saraiva | 2013 | 408,415 | 324,062 | 231,991 | 424,326 | 1,388,794 |
| José Edvaldo Saraiva | 2014 | 748,430 | 466,137 | 618,832 | 425,979 | 2,259,378 |


| Home | Trees | Indices | Help |
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dummy_type_t provides type_t interface for a string, that defines C++ type. |
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unknown_t type, that represents all C++ types, that could not be parsed by GCC-XML |
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fundamental_t base class for all fundamental, build-in types |
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java_fundamental_t base class for all JNI defined fundamental types |
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void_t represents void type |
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char_t represents char type |
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unsigned_char_t represents unsigned char type |
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wchar_t represents wchar_t type |
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short_int_t represents short int type |
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short_unsigned_int_t represents short unsigned int type |
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bool_t represents bool type |
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int_t represents int type |
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long_long_unsigned_int_t represents long long unsigned int type |
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float_t represents float type |
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double_t represents double type |
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complex_double_t represents complex double type |
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complex_long_double_t represents complex long double type |
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jdouble_t represents jdouble type |
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jchar_t represents jchar type |
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jboolean_t represents jboolean type |
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compound_t class that allows to represent compound types like const
int*
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volatile_t represents volatile whatever type
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const_t represents whatever const type
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pointer_t represents whatever* type
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reference_t represents whatever& type
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array_t represents C++ array type |
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calldef_type_t base class for all types that describes "callable" declaration |
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free_function_type_t describes free function type |
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member_function_type_t describes member function type |
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member_variable_type_t describes member variable type |
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declarated_t class that binds between to hierarchies: type_t and declaration_t |
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type_qualifiers_t contains additional information about type: mutable, static, extern |
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FUNDAMENTAL_TYPES = {'short unsigned int': <pygccxml.declarations.cpptyp... defines a mapping between fundamental type name and its synonym to the instance of class that describes the type |
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FUNDAMENTAL_TYPESdefines a mapping between fundamental type name and its synonym to the instance of class that describes the type
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"HAIL "frozen rain-drops; one of the plagues of Egypt (Exodus 9:23). It is mentioned by Haggai as a divine judgment (Haggai 2:17). A hail-storm destroyed the army of the Amorites when they fought against Joshua(Joshua 10:11). Ezekiel represents the wall daubed with untempered mortar as destroyed by great hail-stones (Ezekiel 13:11). (See also 38:22; Revelation 8:7; 11:19; 16:21.)
"HAIL "frozen rain-drops; one of the plagues of Egypt (Exodus 9:23). It is mentioned by Haggai as a divine judgment (Haggai 2:17). A hail-storm destroyed the army of the Amorites when they fought against Joshua(Joshua 10:11). Ezekiel represents the wall daubed with untempered mortar as destroyed by great hail-stones (Ezekiel 13:11). (See also 38:22; Revelation 8:7; 11:19; 16:21.)


Buyer: {{rfq.Buyer.name}}
Email: {{rfq.Buyer.email}}
Company: {{rfq.Buyer.Customer.company}}
Owner: {{rfq.Buyer.Customer.name}}
Hello {{rfq.Buyer.name}},
Regards, Metaforge pvt.ltd.
Access Denied. You don't have access to view this page


|
KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
|
#include <mpm_stress_principal_invariants_utility.h>
Public Types | |
| typedef Matrix | MatrixType |
| typedef Vector | VectorType |
| typedef unsigned int | IndexType |
| typedef unsigned int | SizeType |
Static Public Member Functions | |
| static void | SortPrincipalStress (Vector &rPrincipalStress, Vector &rMainStrain, Matrix &rMainDirections) |
| Sort Principal Stresses, Strains, and Directions to magnitude order. More... | |
| static void | CalculateTensorInvariants (const Vector &rVector, double &rI1, double &rJ2) |
| Calculate invariants I1 and J2 of a tensor. More... | |
| static void | CalculateTensorInvariants (const Vector &rVector, double &rI1, double &rJ2, double &rJ3) |
| Calculate invariants I1, J2, and J3 of a tensor. More... | |
| static void | CalculateTensorInvariantsDerivatives (const Vector &rVector, Vector &rDI1, Vector &rDJ2, Vector &rDJ3) |
| Calculate derivatives of invariants dI1/dtensor, dJ2/dtensor, and dJ3/dtensor. More... | |
| static void | CalculateTensorInvariantsSecondDerivatives (const Vector &rVector, Matrix &rD2I1, Matrix &rD2J2, Matrix &rD2J3) |
| Calculate second derivatives of invariants d2I1/d2tensor, d2J2/d2tensor, and d2J3/d2tensor. More... | |
| static void | CalculateStressInvariants (const Vector &rStress, double &rMeanStressP, double &rDeviatoricQ) |
| Calculate stress invariants p (volumetric equivalent) and q (deviatoric equivalent). More... | |
| static void | CalculateThirdStressInvariant (const Vector &rStress, double &rLodeAngle) |
| Calculate the third stress invariants lode angle (we are using positive sine definition). More... | |
| static void | CalculateStressInvariants (const Vector &rStress, double &rMeanStressP, double &rDeviatoricQ, double &rLodeAngle) |
| Calculate stress invariants p, q, and lode angle. More... | |
| static void | CalculateDerivativeVectors (const Vector rStress, Vector &rC1, Vector &rC2) |
| Calculate stress invariant derivatives dp/dsigma (volumetric) and dq/dsigma (deviatoric). More... | |
| static void | CalculateDerivativeVectors (const Vector rStress, Vector &rC1, Vector &rC2, Vector &rC3) |
| Calculate stress invariant derivatives dp/dsigma (volumetric), dq/dsigma (deviatoric), and dlodeangle/dsigma. More... | |
| static void | CalculateSecondDerivativeMatrices (const Vector rStress, Matrix &r2C1, Matrix &r2C2) |
| Calculate second stress invariant derivatives d2p/d2sigma (volumetric) and d2q/d2sigma (deviatoric). More... | |
| static void | CalculateSecondDerivativeMatrices (const Vector rStress, Matrix &r2C1, Matrix &r2C2, Matrix &r2C3) |
| Calculate second stress invariant derivatives d2p/d2sigma (volumetric), d2q/d2sigma (deviatoric), and d2lodeangle/d2sigma. More... | |
| static Matrix | PrincipalVectorToMatrix (const Vector &rVector, const unsigned int &rSize) |
| Transform Stress or Principal stress tensor to Matrix form (fully assuming 3D space). More... | |
| static Vector | PrincipalMatrixtoVector (const Matrix &rMatrix, const unsigned int &rSize) |
| Transform Stress or Principal stress tensor to Vector form (fully assuming 3D space). More... | |
| static double | CalculateMatrixDoubleContraction (const Matrix &rInput) |
| static double | CalculateMatrixTrace (const Matrix &rInput) |
Static Public Attributes | |
| static constexpr double | tolerance = 1.0e-9 |
| typedef unsigned int Kratos::MPMStressPrincipalInvariantsUtility::IndexType |
| typedef unsigned int Kratos::MPMStressPrincipalInvariantsUtility::SizeType |
|
inlinestatic |
Calculate stress invariant derivatives dp/dsigma (volumetric) and dq/dsigma (deviatoric).
| [in] | rStress | Input principal stress tensor. |
| [out] | rC1 | Hydrostatic mean stress derivative with respect to principal stresses. |
| [out] | rC2 | Deviatoric stress derivative with respect to principal stresses. |
|
inlinestatic |
Calculate stress invariant derivatives dp/dsigma (volumetric), dq/dsigma (deviatoric), and dlodeangle/dsigma.
| [in] | rStress | Input principal stress tensor. |
| [out] | rC1 | Hydrostatic mean stress derivative with respect to principal stresses. |
| [out] | rC2 | Deviatoric stress derivative with respect to principal stresses. |
| [out] | rC3 | Derivative of lode angle with respect to principal stresses. |
|
inlinestatic |
|
inlinestatic |
|
inlinestatic |
Calculate second stress invariant derivatives d2p/d2sigma (volumetric) and d2q/d2sigma (deviatoric).
| [in] | rStress | Input principal stress tensor. |
| [out] | r2C1 | Hydrostatic mean stress second derivative with respect to principal stresses. |
| [out] | r2C2 | Deviatoric stress second derivative with respect to principal stresses. |
|
inlinestatic |
Calculate second stress invariant derivatives d2p/d2sigma (volumetric), d2q/d2sigma (deviatoric), and d2lodeangle/d2sigma.
| [in] | rStress | Input principal stress tensor. |
| [out] | r2C1 | Hydrostatic mean stress second derivative with respect to principal stresses. |
| [out] | r2C2 | Deviatoric stress second derivative with respect to principal stresses. |
| [out] | r2C3 | Second Derivative of lode angle with respect to principal stresses. |
|
inlinestatic |
Calculate stress invariants p (volumetric equivalent) and q (deviatoric equivalent).
| [in] | rStress | Input principal stress tensor. |
| [out] | rMeanStressP | Hydrostatic mean stress. |
| [out] | rDeviatoricQ | Deviatoric stress component. |
|
inlinestatic |
Calculate stress invariants p, q, and lode angle.
| [in] | rStress | Input principal stress tensor. |
| [out] | rMeanStressP | Hydrostatic mean stress. |
| [out] | rDeviatoricQ | Deviatoric stress component. |
| [out] | rLodeAngle | Third stress invariant direction used for non-circular octahedral profile yield surface. |
|
inlinestatic |
Calculate invariants I1 and J2 of a tensor.
| [in] | rVector | Input principal tensor. |
| [out] | rI1 | First stress tensor invariant. |
| [out] | rJ2 | Second stress deviator tensor invariant. |
|
inlinestatic |
Calculate invariants I1, J2, and J3 of a tensor.
| [in] | rVector | Input principal tensor. |
| [out] | rI1 | First stress tensor invariant. |
| [out] | rJ2 | Second stress deviator tensor invariant. |
| [out] | rJ3 | Third stress deviator tensor invariant. |
|
inlinestatic |
Calculate derivatives of invariants dI1/dtensor, dJ2/dtensor, and dJ3/dtensor.
| [in] | rVector | Input principal tensor. |
| [out] | rDI1 | First derivative of first stress tensor invariant. |
| [out] | rDJ2 | First derivative of second stress deviator tensor invariant. |
| [out] | rDJ3 | First derivative of third stress deviator tensor invariant. |
|
inlinestatic |
Calculate second derivatives of invariants d2I1/d2tensor, d2J2/d2tensor, and d2J3/d2tensor.
| [in] | rVector | Input principal tensor. |
| [out] | rD2I1 | Second derivative of first stress tensor invariant. |
| [out] | rD2J2 | Second derivative of second stress deviator tensor invariant. |
| [out] | rD2J3 | Second derivative of third stress deviator tensor invariant. |
|
inlinestatic |
Calculate the third stress invariants lode angle (we are using positive sine definition).
| [in] | rStress | Input principal tensor. |
| [out] | rLodeAngle | Third stress invariant direction used for non-circular octahedral profile yield surface. |
|
inlinestatic |
Transform Stress or Principal stress tensor to Vector form (fully assuming 3D space).
| [in] | rMatrix | Matrix tensor to be transformed. |
| [in] | rSize | Matrix size, 3 for only principal stresses, 6 for normal stresses. |
|
inlinestatic |
Transform Stress or Principal stress tensor to Matrix form (fully assuming 3D space).
| [in] | rVector | Vector tensor to be transformed. |
| [in] | rSize | Matrix size, 3 for only principal stresses, 6 for normal stresses. |
|
inlinestatic |
Sort Principal Stresses, Strains, and Directions to magnitude order.
| [in/out] | rPrincipalStress The principal stresses to be sorted in descending magnitude order. |
| [in/out] | rMainStrain The principal strain corresponding to the stresses. |
| [in/out] | rMainDirections The eigen directions corresponding to the stresses. |
|
staticconstexpr |


 %}
{% blocktrans %}
Before we invest in making certain product features generally
available, we release them as Feature Previews to learn the
following two things from usage data and qualitative feedback.
{% endblocktrans %}
{% blocktrans %} Perceived Value: The biggest risk in product development is to build something that offers little value to our users. As such, we make Feature Previews generally available only if they have high perceived value. {% endblocktrans %}
{% blocktrans %} User Experience: Even if a feature has high perceived value, it is important that the user experience of the feature is optimized such that our users actually receive the value. As such, we make high value Feature Previews generally available after we optimize the user experience. {% endblocktrans %}
{% blocktrans %} Feature Previews are in active product development, therefore should not be used for business critical workflows. We encourage you to use Feature Previews and provide us feedback, however please note that Feature Previews: {% endblocktrans %}
{% blocktrans %} May not be optimized for performance {% endblocktrans %}
{% blocktrans %} Are not supported by the CommCare Support Team {% endblocktrans %}
{% blocktrans %} May change at any time without notice {% endblocktrans %}
{% blocktrans %} Are not subject to any warranties on current and future availability. Please refer to our terms to learn more. {% endblocktrans %}
{% blocktrans %} Looking for something that used to be here? {% endblocktrans %}
{% blocktrans %} The feature flags Control Mapping in Case List, Custom Calculations in Case List, Custom Single and Multiple Answer Questions, and Icons in Case List are now add-ons for individual apps. To turn them on, go to the application's settings and choose the Add-Ons tab. {% endblocktrans %}


{% extends "layouts/base.html" %}
{% load book_extras %}
{% block title %} Dashboard {% endblock %}
{% block stylesheets %}{% endblock stylesheets %}
{% block content %}
{{data_count.book}}
TOTAL BOOKS
{{data_count.member}}
TOTAL MEMBERS
{{data_count.category}}
TOTAL CATEGORIES
{{data_count.publisher}}
TOTAL PUBLISHERS
| Member |
Book |
Start date / End date |
Closed at |
{% for r in new_closed_records %}
|
{{ r.borrower}}
{{r.borrower_card}} {{r.borrower_phone_number}}
|
{{r.book |truncatewords:2}} |
{{r.start_day|date:"Y/m/d" }} - {{r.end_day|date:"Y/m/d" }} |
{{r.closed_at | timesince}} |
{% endfor %}
45Competitors
You can participate in event
{{new_members_thisweek}} New Members
THIS WEEK
{{lent_books_thisweek}} Books Lent
THIS WEEK
| Name |
Sex |
Age |
Card N |
Joined at |
Created by |
|
{% for member in new_members %}
| {{member.name}} |
{% if member.gender == 'm' %}
|
{% else %}
|
{% endif %}
{{member.age}} |
{{member.card_number}} |
{{member.created_at| timesince}} |
{{member.created_by}} |
{% endfor %}
| Title |
Author |
Quantity |
Location |
|
{% for book in short_inventory %}
| {{book.title}} |
{{book.author}} |
{{book.quantity}} |
{{book.floor_number}}{{book.bookshelf_number}} |
{% if book.quantity < 5 %}
|
{% elif book.quantity > 5 and book.quantity <= 10 %}
|
{% endif %}
{% endfor %}
| User |
Activity |
At |
Type |
|
{% for log in recent_user_activities %}
| {{log.created_by}} |
{{log.detail}} |
{{ log.created_at | timesince }} |
{{log.get_operation_type_display}} |
{% ifequal log.operation_type "success" %}
|
{% endifequal %}
{% ifequal log.operation_type "warning" %}
|
{% endifequal %}
{% ifequal log.operation_type "danger" %}
|
{% endifequal %}
{% ifequal log.operation_type "info" %}
|
{% endifequal %}
{% endfor %}
| Borrower |
Card |
Phone |
Book |
Start date |
Return date |
Delayed |
# |
{% for r in books_return_thisweek %}
| {{ r.borrower}} |
{{r.borrower_card}} |
{{r.borrower_phone_number}} |
{{r.book |truncatewords:2}} |
{{r.start_day|date:"Y-m-d" }} |
{{r.end_day|date:"Y-m-d" }} |
{% if r.return_status == "Delayed" %}
{{r.return_status}} {{r.get_delay_number_days}} days |
{% else %}
{{r.return_status}} |
{% endif %}
{% if r.open_or_close == 0 %}
Close |
{% else %}
Closed |
{% endif %}
{% endfor %}
{% endblock content %}
{% block javascripts %}{% endblock javascripts %}


Press [1], [2], [3], [..] to change screens.
This is a screen.
This is another, second screen.
This is last, third screen.


|
BTK
0.3dev.0
Open-source library to visualize/process biomechanical data
|
Reader for files which contain acquisition data (C3D, TRC, ...). More...
Public Types | |
| typedef SharedPtr< const AcquisitionFileReader > | ConstPointer |
| typedef SharedPtr < AcquisitionFileReader > | Pointer |
| Public Types inherited from btk::ProcessObject | |
| typedef SharedPtr< const ProcessObject > | ConstPointer |
| typedef SharedPtr< ProcessObject > | Pointer |
| Public Types inherited from btk::Object | |
| typedef SharedPtr< const Object > | ConstPointer |
| typedef SharedPtr< Object > | Pointer |
Public Member Functions | |
| AcquisitionFileIO::Pointer | GetAcquisitionIO () |
| AcquisitionFileIO::ConstPointer | GetAcquisitionIO () const |
| bool | GetDisableFilenameExceptionState () const |
| const std::string & | GetFilename () const |
| Acquisition::Pointer | GetOutput () |
| void | SetAcquisitionIO (AcquisitionFileIO::Pointer io=AcquisitionFileIO::Pointer()) |
| void | SetDisableFilenameExceptionState (bool s) |
| void | SetFilename (const std::string &filename) |
| virtual | ~AcquisitionFileReader () |
| Public Member Functions inherited from btk::ProcessObject | |
| int | GetInputNumber () const |
| int | GetOutputNumber () const |
| int | GetValidInputNumber () const |
| void | ResetState () |
| void | Update () |
| Public Member Functions inherited from btk::Object | |
| unsigned long int | GetTimestamp () const |
Static Public Member Functions | |
| static Pointer | New () |
Protected Member Functions | |
| AcquisitionFileReader () | |
| virtual void | GenerateData () |
| Acquisition::Pointer | GetOutput (int idx) |
| virtual DataObject::Pointer | MakeOutput (int idx) |
| Protected Member Functions inherited from btk::ProcessObject | |
| int | GetInputIndex (DataObject::Pointer input) |
| DataObject::Pointer | GetNthInput (int idx) |
| DataObject::ConstPointer | GetNthInput (int idx) const |
| DataObject::Pointer | GetNthOutput (int idx) |
| DataObject::ConstPointer | GetNthOutput (int idx) const |
| int | GetOutputIndex (DataObject::Pointer output) |
| bool | IsModified () const |
| void | Modified () |
| ProcessObject () | |
| void | SetInputNumber (int num) |
| virtual void | SetNthInput (int idx, DataObject::Pointer input) |
| virtual void | SetNthOutput (int idx, DataObject::Pointer output) |
| void | SetOutputNumber (int num) |
| virtual | ~ProcessObject () |
| Protected Member Functions inherited from btk::Object | |
| Object () | |
| Object (const Object &toCopy) | |
| virtual | ~Object () |
Protected Attributes | |
| AcquisitionFileIO::Pointer | m_AcquisitionIO |
| std::string | m_Filename |
Reader for files which contain acquisition data (C3D, TRC, ...).
This class uses an AcquisitionFileIO object to read the data from the file corresponding to the given filename. You have two ways to set this object. First, you can set it manually by using the method AcquisitionFileReader::SetAcquisitionIO(), Second, the correct object can be detected automatically, by checking in each registered AcquisitionFileIO if it can read or not the file.
The use of the manual setting should be only used if you want to read a file with a selected file format. To go back to the automatic mode from the manual mode, you only have to use the method AcquisitionFileReader::SetAcquisitionIO() without any argument.
Note: Internally, this class use the AcquisitionFileIOFactory class for the automatic mode.
Smart pointer associated with a const AcquisitionFileReader object.
Smart pointer associated with an AcquisitionFileReader object.
|
inlinevirtual |
Empty destructor.
|
protected |
Constructor. Sets the number of outputs equal to one. No input.
|
protectedvirtual |
Check the file integrety, find a AcquisitionIO helper class if no one has been specified and finally read the file.
Implements btk::ProcessObject.
|
inline |
Returns a Poiner associated with the AcquisitionIO helper class used to read the file.
|
inline |
Returns a ConstPointer associated with the AcquisitionIO helper class used to read the file.
|
inline |
Returns state of the disabling of the exception for missing filename.
|
inline |
Gets the filename of the file to read.
|
inline |
Returns the Acquisition read from the AcquisitionIO helper class.
|
inlineprotected |
Returns the output at the index idx.
|
protectedvirtual |
Whatever the specified index, this method creates an Acquisition object
Implements btk::ProcessObject.
|
inlinestatic |
Creates a AcquisitionFileReader process.
| void btk::AcquisitionFileReader::SetAcquisitionIO | ( | AcquisitionFileIO::Pointer | io = AcquisitionFileIO::Pointer() | ) |
Set the AcquisitionIO helper class. This method forces the AcquisitionIO to be used to read a particular file. The AcquisitionIO is oftenly created via the object factory mechanism that determines whether a particular AcquisitionIO can read a certain file (see AcquisitionFileIOFactory).
|
inline |
Enable/disable exception for the missing of the filename.
| void btk::AcquisitionFileReader::SetFilename | ( | const std::string & | filename | ) |
Specifies the file to read. This is forwarded to the IO instance.
|
protected |
AcquisitionFileIO helper class to read the acquisition data and fill an Acquisition object.
|
protected |
Path of the file to read.


ambient.convert_units¶
| Release: | 1.1 |
|---|---|
| Date: | Nov 08, 2017 |
-
ambient.
convert_units
(data, units)[source][source]¶ Convert the values in data to standard units
This function accepts a data array with variables arranged in columns, each column given by the sequential unit in units, and converts the values in the array to standard units. The function returns both the transformed data and the new, standardized units.
Parameters: data : int, float, list, or ndarray
Data in which the values in each column are of uniform units.
units : string list
A list of strings stating the units of the input data array. The squence of strings in the list must match the units of each column of data
Returns: A tuple containing:
data : ndarray
Array of data in the same order as the input array, but converted to standard units.
units : string list
A list of strings stating the new, standardized units of the values in data.
Notes
This function assumes that for a one-dimensional array, each element has a unique unit. That is, one-dimensional arrays are assumed to be rows with the number of columns equal to the number of values. If a single column of data must be converted, you may pass numpy.atleast_2d(data).transpose().
Examples
>>> data = np.array([[10, 25.4, 9.5, 34], [100, 10.7, 8.4, 34.5]]) >>> units = ['m', 'deg C', 'mg/l', 'psu'] >>> data, units = convert_units(data, units) >>> data array([[ 1.00000000e+01, 2.98550000e+02, 9.50000000e-03, 3.40000000e+01], [ 1.00000000e+02, 2.83850000e+02, 8.40000000e-03, 3.45000000e+01]]) >>> units ['m', 'K', 'kg/m^3', 'psu']
>>> data = 10 >>> units = 'deg C' >>> data, units = convert_units(data, units) >>> data array([283]) >>> units ['K']


{% extends 'base.html' %} {% import 'macros.html' as macro%} {% block content %}
Latest pitches
Categories
Pickup lines
Interview pitch
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Idea pitch
Submit pitch
View profile
{{top_pitch.pitch_text}}
Posted by: {{top_pitch.user}}
{{top_pitch.upvotes}}
{{top_pitch.downvotes}}
Comments & Votes


Hi! I'm Jim who loves to learn, who loves to think deeply and explain everything rationally, who makes a sketch of a problem or an error to visualize the goal to solve and learn fresh things and mix ideas or techniques to move on to success. I have the skill to learn something so first and I made my mind adjustable to an unfamiliar environment. I'm passionate about working with a group of people to learn and fix errors together to make ideas happen.
It was the day when, with a leap of faith, I first saw the light of the world. That was the day of joy for my family.
Then I started to grew up with love and proper support of family
I can't remember too much and it's natural.
Shuvro Jaya by Mehnaz
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{% block head %}{% endblock %}
GreatLife Fitness Clubs
Home
Members
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{% block content %}{% endblock %}


--- title: 'Problem 6: Sum square difference' author: John Ensley date: '2018-07-06' slug: 6 categories: [] tags: - sum of squares weight: -6 hidedate: true draft: false ---
The sum of the squares of the first ten natural numbers is,
\[ 1^2 + 2^2 + \dots + 10^2 = 385 \]
The square of the sum of the first ten natural numbers is,
\[ (1 + 2 + ... + 10)^2 = 55^2 = 3025 \]
Hence the difference between the sum of the squares of the first ten natural numbers and the square of the sum is 3025 − 385 = 2640.
Find the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum.
This one is trivially easy. Just do the calculation. You could be clever about using the fact that
\[ \sum_{i=1}^n x_i = \frac{n(n+1)}{2} \]
and other such relations, but just calculating the answer using sum()
is so fast that it’s not even worth it.
p6 <- function(n) {
integers <- 1:n
sum(integers)^2 - sum(integers^2)
}
p6(100)
## [1] 25164150
(m <- microbenchmark::microbenchmark(p6(100), unit = 'ms'))
## Unit: milliseconds
## expr min lq mean median uq max neval
## p6(100) 0.001111 0.001144 0.1243548 0.001222 0.0013125 12.31053 100
The solution takes about 0.001 milliseconds.


{%extends "registration/base.html"%} {% load bootstrap3 %} {% load static %} {% block styles %} {{block.super}} {% endblock %} {% block content %}
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Julian Assange complains that his prison computer is 'not suitable'
Julian Assange is unable to work on his extradition case in prison because he has been given an unsuitable computer, a court has been told.
The 48-year-old WikiLeaks founder is accused of leaking US government secrets in one of the largest breaches of confidential information in history. He is fighting attempts to get him to America to face charges.
But appearing at Westminster Magistrates’ Court via video-link today, Assange’s lawyers said he was unable to work on his case with the machine he has been given.
During today’s five-minute hearing, attended by supporters including his father, John Shipton, Assange’s remand in HMP Belmarsh was extended.
He was set to be released from the high-security prison in September but was remanded in custody due to fears that he would abscond after he spent nearly seven years in the Ecuadorean embassy in London.
Gareth Peirce, representing Assange, told the court that her client was unable to adequately prepare for his ‘very challenging case’ as the computer he had been given was not suitable.
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Ms Peirce said: ‘I will put it on the record, you will understand that we are working extremely hard on this very challenging case; however, the most important of the impediments that we are facing is Mr Assange’s ability to access what he needs to work on his own case.
‘After months of battle he was provided with a computer but it is not the sort of computer needed to work on the case.’
Speaking outside court, a member of Assange’s team added that the computer was unlikely to have internet access needed for research.
During the hearing, District Judge Vanessa Baraitser said she had no jurisdiction over the prison conditions.
Ms Peirce replied that she wanted to ‘exert pressure as best we can’ on Belmarsh to improve the computer facilities.
Assange – who wore a grey prison-issue jumper and thin-rimmed glasses and spoke only to confirm his identity – will remain in custody ahead of a substantive case management hearing on December 19.
He will appear again at Westminster Magistrates’ Court on December 13 to confirm his remand in prison again before he ultimately appears for full extradition proceedings in February.
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Get in touch with our news team by emailing us at<EMAIL_ADDRESS>For more stories like this, check our news page.


Row Details
This demo illustrates how to show detailed information about the selected row anywhere outside the grid. This feature is common in many real-live applications. To review how it works, select a data row in the grid and see how the row details appear below the grid. When the grid’s selection is changed, the SelectionChagned event is raised. In this event handler, the bottom panel is refreshed to display field values of the data source record to which the currently selected row corresponds.
Related APIs: