Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
36 marshmallows
Making your own marshmallows is a fun project, and this recipe is the basis for all kinds of variations. Do be careful with the boiling sugar syrup, though.
Place the gelatine and 100ml/3½fl oz of cold water into a bowl. Set aside for 10 minutes, or until softened.
Meanwhile, pour the sugar and 175ml/6fl oz of cold water into a heavy-based saucepan and bring to a rolling boil on a medium to high heat, stirring continuously, until the sugar dissolves.
Reduce the heat to low and simmer the mixture gently for 15-20 minutes, until a sugar thermometer dipped into the mixture reads 113C/235F. (NB: At this temperature, the sugar syrup will have reached the soft-ball stage.) CAUTION: This mixture is extremely hot and can be dangerous. Do not leave unattended.
As soon as the sugar syrup reaches the correct temperature, place the softened gelatine and water into the bowl of a food mixer and blend on its lowest setting. Gradually pour in the sugar syrup in a slow, steady stream, avoiding pouring the sugar syrup on the beaters as it may splash. Whisk continuously until all of the syrup has been fully incorporated in the mixture.
Add the vanilla extract, then increase the blending speed and blend for 18-20 minutes, or until the mixture has thickened, cooled and is beginning to set.
Meanwhile, grease a 20cm/8in square, deep-sided cake tin with some of the sunflower oil. Line the tin baking parchment and grease the paper with the remaining oil. Mix together the icing sugar and cornflour and dust the tin with a little of the mixture to evenly coat the base and sides. Reserve the remaining icing sugar and cornflour mixture for later.
Pour the marshmallow mixture into the prepared tin and smooth the surface with a palette knife or spatula that has been dipped in boiling water. Dust the top of the marshmallows with a little more of the icing sugar and cornflour mixture, then cover the tin with cling film and set aside in a cool, dry place for 1-2 hours or overnight to set. (NB: Do not chill in the fridge.)
Once the marshmallow mixture has set, turn out the marshmallow slab onto a clean work surface dusted with the remaining icing sugar and cornflour mixture. Peel off the parchment paper and cut the marshmallow into 36 cubes. Dredge the marshmallows in the icing sugar and cornflour mixture to coat, or coat one or more sides in the chopped nuts, flower petals or coloured sugar for decoration. Store in an airtight container in a cool, dry place for up to three weeks.


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[1]
Touch, battery life, bright rich colorful lcd; NO BLUETOOTH
[2]
UI & WiFi Browser; Could do so much more
[3]
Snazzy interface, popular product?; Super limited capability, over-priced, poor interoperability


---
layout: archive
title: "Projects"
permalink: /projects/
author_profile: true
---
Graduate Coursework
3.62 GPA, University of Southern California, CS, 2018
Operating Systems :
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Implemented kernel threads, processes, mutexes, scheduler primitives, kshell, interrupt handling, virtual file system, virtual memory management, shadow objects for a general-purpose toy operation system called Weenix.
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Designed a C POSIX Multi threading emulator using mutex and signal handling concepts.
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Emulator was designed to serve packets arriving at a facility(Queue 1) using tokens coming in to a token bucket(Queue 2). These two queues and two servers were used to serve the packets.
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Emulator was designed in a way to improve throughout and delay with statistics printed after each run.
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Project implemented on Ubuntu 14.04 using C programming language.
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Implemented a lookup service to tackle the problem of locating data that is distributed over multiple nodes in the network. A (distributed) database consisting of English words and their definitions was distributed among the 3 backend servers.
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A client issues a dictionary search for a word to a server(Server similar to the amazon web services). The server then issues this request and collects results from each of the three backend servers and performs additional computation, if needed and sends the results back to the monitor and the client.
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Communication between the client,AWS server and the monitor is over a TCP connection while communication between AWS and the three backend servers is over UDP.
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Project was implemented on Ubuntu 16.04 VM using C++.
Machine Learning :
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Implemented a generator network that realistically transforms the gender of a person out of curiosity for what famous
Marvel men stars would look like if born with two X chromosomes
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Built a generative model to mimic the writing style of prominent British mathematician, philosopher, prolific writer, and
political activist, Bertrand Russell.
Approaches: Trained an LSTM to mimic Russell's style and thoughts.
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Used a convolutional neural network for image colorization which turns a grayscale image to a colored image. By converting an image to grayscale,
we loose color information, so converting a grayscale image back to a colored version is not an easy job. I used the CIFAR-10 dataset.
Tools: openCV, scikit-learn
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Binary classification problem on banknote authentication dataset, Multi-class and Multi-Label Classification Using Support Vector Machines on Anuran Calls dataset
and K-Means Clustering on a Multi-Class and Multi-Label Data Set
Approaches: Active, passive learning, Monte Carlo simulation, using linear, Gaussian kernels kernel and L1-penalized SVMs, SMOTE, CH or Gap Statistics or scree plots
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Communities and Crime dataset, APS Failure dataset
Approaches: Data imputation techniques, linear,ridge regression, PCR models , boosting tree, multivariate regression tree, L1 penalized
gradient boosting tree, XGBoost, random forest, Out of Bag error estimate, ROC, AUC, Weka, SMOTE
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An interesting task in machine learning is classification of time series. In this problem,
I tried to classify the activities of humans based on time series obtained by a Wireless
Sensor Network.
Approaches: Time-domain features, bootsrap confidence interval, binary classification Using Logistic Regression, p-values, backward selection
using sklearn.feature selection, stratified cross validation, Python's Recursive Feature Elimination, ROC, AUC, L1-penalized logistic regression, L1 regularization, L1-
penalized multinomial regression, Naive Bayes' classifier using both Gaussian and Multinomial priors
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Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection
was used. The final images have 400x 400 pixels. Due to the object lens and distance
to the investigated object gray-scale pictures with a resolution of about 660 dpi were
gained. Wavelet Transform tool were used to extract features from images.
Approaches: Scatterplots, box plots, Classification using KNN, Learning curve, Euclidean, Minkowski, Manhattan, Chebyshev, Mahalanobis distances, simple linear regression model,
association of interactions of predictors with the response using p-values, KNN Regression,
Web Technologies :
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Developed an Android application, which allows users to search for a place using a live JSON API, view its information, save it as a favourite and/or post about it on Twitter. The web application is hosted on Amazon Cloud.
Technologies: Java, XML, Android Studio, Google Places APIs, Picasso, Volley, Amazon Web Services(AWS), Elastic Compute Cloud (EC2), Google App Engine (GAE),
PHP/Node.js, Autocomplete for places, RecyclerView, Google Maps SDK, ViewPager
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Created a webpage that allows users to search for places using the Google Places API. Once the user clicks on a button to search
for place details, webpage should displays several tabs which contain an info table, photos of the
place, map and route search form and reviews respectively. Webpage also supports adding
places to and removing places from favorites list and posting place info to Twitter.
Technologies: Ajax, JSON and Responsive Desisgn, Bootstrap/Angular/jQuery/Cloud, HTML5, PHP/Node.js, Google Cloud App Engine and Amazon Web Services
, Google Places APIs and Yelp APIs, XHTML and CSS, DOM, XML, XMLHttpRequest, Amazon Elastic Compute Cloud (EC2), Autocomplete, User Location, Pagination, Moment.js, Angular Google Maps
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Created a webpage that allows you to search for places
information using the Google Places API, and the results will be displayed in a tabular format.
The page will also provide reviews and photos for the selected place.
Technologies: PHP, Google Places API, JSON parsers in PHP and JavaScript, Google Maps Geocoding API, Google Places API Nearby Search, Place Details, Google Maps JavaScript Library
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Wrote an HTML/JavaScript program, which takes the
URL of a JSON document containing Trucking companies information,
parses the JSON file, and extracts the list of trucking companies, displaying
them in a table. The JavaScript program will be embedded in an HTML file
so that it can be executed within a browser.
Technologies: JavaScript JSON objects, JSON.parse parser and synchronous XMLHttpRequest
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Composed documents directly in HTML and
CSS. This is very helpful as it is often necessary to modify existing
documents. Also, when writing server-side scripts one must generate
HTML.
Technologies: HTML and CSS
Natural Language Processing :
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Cleaned and processed DPS records to classify each incident on a scale of 1-5 based on the level of danger.
Classifiers: Bag of Words, Multinomial Naive Bayes and Support Vector based on TF-IDF scores, LSTM Recurrent Neural Networks.
Database Systems :
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Database system architecture; conceptual database models; semantic, object-oriented, logic-based, and relational databases; user and program interfaces; database system implementation; integrity, security, concurrency and recovery.
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Information Retrieval and Web Search Engines :
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Devised a search engine to search through 15000 news webpages.
PageRank and TF-IDF weighting have been used to rank different search results retrieved from Solr, having features such as spell checking,
auto complete and snippets.
Technologies: Java, PHP, Javascript, Python, jQuery, Apache Solr, Lucene, jSoup
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Using a web server, I created a web page with a text box which a user can retrieve and
then enter a query. The user’s query will be processed by a program at the web server which formats
the query and sends it to Solr. Solr will process the query and return some results in JSON format. A
program on the web server will re-format the results and present them to the user as any search engine
would do. Results are clickable (i.e. open the actual web page on the internet).
Technologies: PHP, NetworkX library, Solr, Lucene, PageRank
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Creating an Inverted Index of words occurring in a set of web pages and hands-on experience in GCP App Engine using MapReduce.
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A simple web crawler to measure aspects of a crawl, study the
characteristics of the crawl, download web pages from the crawl and gather webpage metadata, all
from pre-selected news websites.
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This exercise is about comparing the search results from Google versus Bing, the two leading US search
engines. Many search engine comparison studies have been done. All of them use samples of data,
some small and some large, so no general conclusions can be drawn. But it is always instructive to see
how the two search engines match up, even on a small data set.
I followed the process of issuing a set of queries and to evaluate the returned results for relevance.
These studies do not seek to answer the ultimate question of which search engine is “best”. Rather we
stick to more modest research questions which are:
- Which search engine performs best when considering the first five results for a given query?
Analysis of algorithms :
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Explores techniques such as recursion, Fourier transform ordering, dynamic programming for efficient algorithm construction. Examples include arithmetic, algebraic, graph, pattern matching, sorting, searching algorithms.
Undergraduate Coursework
8.91/10 GPA (Distinction), Amrita Vishwa Vidyapeetham University, CS, 2015
Interactive Yoga poses correction :
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Partially devised an articulated human body model that tracks human motion in a video sequence and suggests
corrections if the user is performing the yoga pose incorrectly.
Sudoku Solution builder :
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Implemented Sudoku solution builder using human analogy algorithms such as - singles, hidden singles, locked candidates, naked and hidden pairs, triples, quads.
Finally, XY-wing would populate the given Sudoku grid with answers.
Tracking algorithm for nimble e-mail system :
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An implementation of an IEEE paper which describes a new tracking algorithm to revamp the current E-mail system in C.
Dictionary and auto-fill application :
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A slight modification of Tire data structure is implemented along with reverse buckets to take care of synonyms in C++. It was used in filling any online form where the word suggestions
and auto-fill features assist the user and make life easy.
Medical College management system :
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An interactive system for blood quantity availability enquiry in the medical college will be presented, at the click of an e-mail. It was developed using Java and Microsoft SQL server.
Graphical text editor :
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The application has tools similar to MS Notepad, Notepad++ and also tools which can animate them. It was developed in C.


| Name | Time Online |
|---|---|
| briandotcom0 | 1:14 |
| philipjag | 0:13 |
[18:47:57] [Server thread/INFO]: Starting minecraft server 1.8.4 [18:47:57] [Server thread/INFO]: Loading properties [18:47:58] [Server thread/INFO]: Generating keypair [18:47:59] [Server thread/INFO]: Preparing level "world" [18:48:39] [Server thread/INFO]: Done (40s)! For help, type "help" or "?"


PyCharm allows configuring Python interpreters on the various stages of development:
- When a project is only being created (File | New Project, or Create New Project on the Welcome screen).
- In an already existing project, there are two options:
- When you're in the editor, the most convenient way is to use the Python Interpreter widget in the
Status bar.
Click the widget and select Add Interpreter ....
- If you are in the Settings/Preferences dialog, select Project <project name> | Project Interpreter.
Click the icon and select Add.


Our notebooks use the best materials possible which are sourced locally. This will increase the longevity of your purchase.
We make sure you recieve your notebook as soon as we have finished making it. We also provide free returns if you are not satisfied.
For every purchase you make, we will ensure there are no damages or faults and we will check and test the quality of your laptop.


ALIEN RESURRECTION A film review by David N. Butterworth Copyright 1997 David N. Butterworth
Rating: ** (Maltin scale)
Been there. Done that.
"Alien Resurrection" feels less like another episode in the popular Alien series and more like a predictable, visceral walk down memory lane, reminding us--with its almost casual approach to brainless humans being gored by big nasty monsters--what made the first three films much more memorable.
And that *does* include "Alien3."
Fans of the series are strongly divided between two camps: whether Ridley Scott's original was better than James Cameron's sequel (it's a debate that seems senseless, given how different these two films are in terms of style--Scott's played like a classic monster movie set in deep space; Cameron's was a testosterone-laden, hardware-heavy shoot-em-up). On the less successful end of the scale, David Fincher's 1992 "Alien3" was unanimously dismissed out of hand as the bleakest and weakest chapter, but with "Alien Resurrection" there's finally new hope for Fincher's effort.
 Here they mess with an equally rag-tag band of covert military operatives engaged in some not-for-prime-time experimentation with--you guessed it--those drooling skeletal creatures with the stainless steel teeth. Head of the group is General Perez, played in flamboyant fashion by Dan Hedaya, whose furry shoulders are probably the scariest thing in the film.
Sigourney Weaver is back as Ripley, even though her character died in the third Alien picture. Watching Weaver in a bad Alien movie is always more interesting than watching her in a good, non-Alien movie ("The Ice Storm," for example) so whenever she's on camera, there's hope. But perhaps because her character is a clone (like everything else in the film), Ripley is lacking a vibrancy and passion the film badly needs. We can't blame Weaver, since the Ripley character has been genetically mutated, but her new spiritual relationship with the aliens just doesn't drive "Alien Resurrection" as effectively as her tough, human compassion did in the earlier films.
Call, a space pirate with very much her own agenda, displays some of the emotions missing from Ripley, but as played by a miscast Winona Ryder, she's too wimpy and simpy to be of any real value.
The aliens are as slimy and single-mindedly menacing as usual but with no audience empathy for the crew members, the buffet can't start fast enough.
"Alien Resurrection" is directed by the provocative Frenchman Jean-Pierre Jeunet ("City of Lost Children," "Delicatessen") but you'd hardly know it. The film has a very standard look, as if the production team used leftover sets from "Event Horizon" (another disappointing science fiction thriller that wastes a decent cast). 200 years on, we're still looking at the same old grungy, mechanized interiors with lots of escaping steam; the only notable technological advance appears to be breath recognition! Jeunet should have given us something a little more surreal or at least imaginative. Writer Joss Whedon's script is definitely lost in space.
Although "Alien3" wasn't the most satisfying end to the trilogy, "Alien Resurrection" reminds us that sometimes the kindest thing you can do is let the dead rest in peace.
-- David N. Butterworth<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Mahira Khan can’t get over the ‘genes’ and Susanne Khan left stunned over Gauri Khan’s viral family photo
by TIMESOFINDIA.COMShah Rukh Khan and Gauri Khan had B-town buzzing when they shared a rare family photo that saw them sharing the frame with their kids Suhana, Aryan and AbRam.
While the click came as a delight to fans across the globe, it was SRK who came up with the best and cheekiest reply. Sharing the photo, he said, “Over years I made a good house...Gauri made a good Home but I really believe we are the best at making some really good kids!"
Although it was hard to outdo daddy Khan’s comment, it was Mahira Khan, Sussanne Khan and Farah Khan’s cute comments that also caught our attention.
Mahira, who romanced SRK in ‘Raees’, had all heart-eyes for the “genes” the kids shared.
Bff and fellow interior designer Sussanne seemed bowled over by the click that prompted her to say, “Stunners!! All of you.”
Farah, on the other hand, commended the parents, saying, “Gauriiiiii U hav done very well!! Look at these gorgeous children.”
SRK and Gauri recently completed twenty-eight years of marriage and continue to give other famous B-town couples like Priyanka Chopra-Nick Jonas, Anushka Sharma-Virat Kohli and others tough competition.
While the two have often kept their private lives out of the media glare, of late their photos together on social media send flutters around town.


'We are still the champions, we are not just going to roll over,' Saracens warn
Defiant message from Euro kings. PLUS all-you-need-to-know pool-by-pool guide to 2019/20 Heineken Champions Cup
by Alex Spink, https://www.facebook.com/alexspinkmirror/Saracens launch the defence of their European title without all their superstars but with Alex Lozowski warning: “We are the champions, we won’t just roll over”.
The Londoners, reeling from a 35-point penalty imposed for breaching the Premiership salary cap, have chosen to prioritise top flight survival over a fourth Champions Cup crown in five years.
That means omitting seven of their eight players who lined up for England in the World Cup final in Japan a fortnight ago.
Owen Farrell, Maro Itoje, Billy and Mako Vunipola, Jamie George, George Kruis and new signing Elliot Daly all miss tomorrow’s trip to Paris to face Racing 92.
The exception is scrum-half Ben Spencer, who played four minutes off the bench in the defeat by South Africa.
The Londoners’ decision to rest their best players comes ahead of a decision on whether to seek a review of the punishment which leaves them 26 points adrift at the foot of the table and £5.36 million the poorer.
Until that is made the future of all concerned remains in limbo but England centre Lozowski insists such uncertainty does not make Saracens easy beats.
 “That’s the standard we set ourselves.
“So while this weekend’s team is very different to the one which started the final in May, we are still the champions. We are not just going to roll over and let whoever else come along and dominate us.”
Only Lozowski, Spencer, prop Titi Lamositele and lock Will Skelton remain from the side which came from behind to beat Leinster 20-10 at Newcastle’s St James Park in last season’s showpiece.
When asked earlier this week if the ruling against Sarries tarnished the club’s achievements, boss Mark McCall replied: “I think in lots of people’s eyes it will.”
Lozowski will leave such judgements to others, reasoning that “if you let yourself think about anything other than the game you’ve got to play you’re going to run into trouble.
“The news broke last week and we had to find a way to focus on a massive game at Gloucester. We got the win but had we not prepared as well as we did we would likely have been taken to the cleaners.
“It is the same this weekend. We are aware how good Racing are, what great players they have. Also how important it is for us to start well in Europe.
“We also saw what happened with other results last week. Comments were made by certain people from other teams and the results didn’t go their way. That shows where getting distracted with the wrong things gets you.”
Lozowski says the potential for job losses or players being sold off has not been discussed. But he insists to a man they are ready to fight.
“If the points deduction remains I’d fully expect all the boys to roll up their sleeves and show that real competitive spirit which exists amongst everyone at this club,” he said.
“It’s obviously not a position we would want to be in but we have to see good in every opportunity. It’s a chance to really show what we’re made of."
EUROPEAN CHAMPIONS CUP POOL BY POOL GUIDE
POOL 1
This gets ‘pool of death’ status given Leinster are four-time champions, unbeaten in Pro-14 and tournament favourites - and are up against French Top 14 leaders Lyon and high-flying Northampton. Pity Treviso.
Player to watch: Cobus Reinach (Northampton).
Predicted pool winner: Leinster.
Northampton
Captain: Alex Waller/Teimana Harrison
Coach: Chris Boyd
Best finish: Champions (2000)
Formguide: 2nd Prem (W3 L1)
Odds (William Hill): 50
Leinster
Captain: Johnny Sexton
Coach: Leo Cullen
Best finish: Champions (2009-11-12-18)
Formguide: 1st Pro14 (Conf A: W6 L0)
Odds: 2
Lyon
Captain: Baptiste Couilloud/Felix Lambey
Coach: Pierre Mignoni
Best finish: Pool
Formguide: 1st Top14 (W8 L1)
Odds: 66
Treviso
Captain: Alberto Sgarbi
Coach: Kieran Crowley
Best finish: Pool
Formguide: 5th Pro14 (Conf B: W2 L4)
Odds: 150
POOL 2
Given Saracens travails this is the season for Exeter to stand up and they should not have too much to fear in this pool, though Sale and Glasgow will defend their home turf ferociously. Difficult start at La Rochelle. Must bounce back from last week’s collapse against Bristol.
Player to watch: Stuart Hogg (Exeter).
Predicted pool winner: Exeter.
Exeter
Captain: Jack Yeandle
Coach: Rob Baxter
Best finish: QF (2016)
Formguide: 6th Prem (W2 L2)
Odds: 12
Sale
Captain: Jono Ross
Coach: Steve Diamond
Best finish: QF (2006)
Formguide: 4th Prem (W2 L2)
Odds: 80
Glasgow
Captain: Callum Gibbins/Ryan Wilson
Coach: Dave Rennie
Best finish: QF (2017-19)
Formguide: 4th Pro14 (Conf A: W3 L3)
Odds: 40
La Rochelle
Captain: Romain Sazy
Coach: Jono Gibbes
Best finish: QF (2018)
Formguide: 9th Top14 (W4 L5)
Odds: 40
POOL 3
A pool of 'nearly' teams, with Harlequins and Bath having long flattered to deceive. Ulster are overdue an extended run whilst surely Clermont, back after winning a third Challenge Cup last season, must soon deliver in the Champions Cup.
Player to watch: Damien Penaud (Clermont).
Predicted pool winner: Clermont.
Bath
Captain: Charlie Ewels
Coach: Stuart Hooper
Best finish: Champions (1998)
Formguide: 9th Prem (W2 L2)
Odds: 100
Harlequins
Captain: Chris Robshaw
Coach: Paul Gustard
Best finish: QF (1997-98-2013)
Formguide: 10th Prem (W1 L3)
Odds: 66
Clermont
Captain: Morgan Parra
Coach: Frank Azema
Best finish: Runners-up (2013-15-17)
Formguide: 6th Top14 (W5 L4)
Odds: 7
Ulster
Captain: Iain Henderson
Coach: Dan MacFarland
Best finish: Champions (1999)
Formguide: 2nd Pro14 (Conf A: W4 L2)
Odds: 50
POOL 4
Saracens are reigning champions, winners in three of the past four years, but a 35-point Premiership deduction means their focus is on domestic survival. They will still be competitive, but Munster and Racing will expect to take advantage.
Player to watch: Joey Carbery (Munster).
Predicted pool winner: Munster.
Saracens
Captain: Brad Barritt
Coach: Mark McCall
Best finish: Champions (2016-17-19)
Formguide: 3rd Prem (W3 L1)
Odds: 3
Munster
Captain: Peter O’Mahony
Coach: Johan van Graan
Best finish: Champions (2006-08)
Formguide: 1st Pro14 (Conf B: W5 L1)
Odds: 16
Ospreys
Captain: Justin Tipuric
Coach: Allen Clarke
Best finish: QF (2008-09-10)
Formguide: 6th Pro14 (Conf A: W1 L5)
Odds: 250
Racing 92
Captain: Henry Chavancy
Coach: Yannick Nyanga
Best finish: Runners-up (2016-18)
Formguide: 10th Top14 (W3 D1 L5)
Odds: 20
POOL 5
French powerhouses Toulouse and Montpellier have made sluggish starts to the Top14 but are expected to come on strong in Europe. Gloucester are nobody’s fools these days but have their work cut out to qualify.
Player to watch: Ollie Thorley (Gloucester).
Predicted pool winner: Toulouse.
Gloucester
Captain: Willi Heinz
Coach: Johann Ackermann
Best finish: SF (2001)
Formguide: 5th Prem (W2 L2)
Odds: 28
Connacht
Captain: Jarrad Butler
Coach: Andy Friend
Best finish: Pool
Formguide: 4th Pro14 (Conf B: W4 L2)
Odds: 100
Montpellier
Captain: Louis Picamoles
Coach: Vern Cotter
Best finish: QF (2013)
Formguide: 7th Top14 (W3 D2 L4)
Odds: 33
Toulouse
Captain: Julien Marchand
Coach: Jerome Cazalbou
Best finish: Champions (1996-2003-05-10)
Formguide: 8th Top14 (W4 L5)
Odds: 7


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Central newsdesk 020 7783 8300
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Press release
Minister for Childcare Sam Gyimah announces funding to improve the quality of early years education.
Young children across the country are set to benefit from the best possible start in life thanks to a brand-new initiative backed by £5 million of government funding to boost the quality of early years education.
The funding announced today (29 January 2015) will be awarded to more than 60 teaching schools across the country who will partner up with local nurseries to drive up standards and share best practice. All partners will be able to learn from each other in order to provide better early education and care for children and families, and support effective transitions from nursery into primary school.
Evidence shows that the early years count. Children from less advantaged backgrounds can start school 19 months behind their peers, but good-quality early years education can reduce this gap and have a significant benefit in terms of a child’s development.
Children who benefit from good-quality early years can go on to earn around £27,000 more during their career compared to those who don’t, and are also likely to do better at school - the equivalent of 7 GCSE grades at grade ‘B’ compared to grade ‘C’.
Minister for Childcare Sam Gyimah today visited St Pauls Nursery School in Bristol, which will benefit from £60,000 funding to develop programmes with local nurseries to help meet the needs of children in the area.
Sam Gyimah, Minister for Childcare, said:
I was delighted to visit St Pauls Nursery School to learn more about how Bristol’s children are set to benefit from this innovative scheme, which will help ensure they receive the very best early years education.
We know the first few years of a child’s life can be make or break in terms of how well they go on to do at school and beyond - and the sharing of expertise and best practice is vital to driving innovation and raising standards.
This is a fantastic example of local schools, nurseries and private providers pulling together to improve the fantastic services on offer to families, helping their children to thrive.
The new scheme will enable local nurseries to work with the very best early years teachers and school leaders to increase the quality of early years education in their area. The government recognises that systems based on the sharing of expertise are the best way to drive up standards in the sector.
Today’s announcement is just the latest step in the government’s drive to make sure all children - no matter what their starting point in life - receive the best possible start in life and are ready to begin school, especially those from low-income families.
Since 2010, the government has also:
| Lead school name | Region | School local authority |
|---|---|---|
| Three Legged Cross First School | South West | Dorset |
| Ellen Teaching School | North West | Cumbria |
| Ash Grove Academy | North West | Cheshire East |
| Vauxhall Primary School | London | Lambeth |
| Hillborough Junior School | East of England | Luton |
| Broughton High School | North West | Lancashire |
| St John’s Church of England Voluntary Controlled First School Wimborne | South West | Dorset |
| Childhaven Community Nursing School | Yorkshire and the Humber | North Yorkshire |
| Spring Cottage Primary School | Yorkshire and the Humber | Kingston upon Hull, City of |
| Forest Way School | East Midlands | Leicestershire |
| Whitehill Community Academy | Yorkshire and the Humber | Calderdale |
| The Lawns Nursery School | South East | Windsor and Maidenhead |
| Truro and Penwith College | South West | Cornwall |
| Britannia Teaching School Alliance (Belgrave St Bartholomew’s Academy) | West Midlands | Stoke-on-Trent |
| Outwood Grange Academy | Yorkshire and the Humber | Wakefield |
| Etherley Lane Nursery School | North East | Durham |
| Mottram St Andrew Primary Academy | North West | Cheshire East |
| Pound Hill Infant school | South East | West Sussex |
| Witham St Hughs Academy | East Midlands | Lincolnshire |
| Lyons Hall Primary School | East of England | Essex |
| Bristol Early Years Teaching Consortium | South West | Bristol, City of |
| Prince Rock Primary School | South West | Plymouth |
| Woolacombe National Support and Teaching School | South West | Devon |
| Brightlingsea Infant School | East of England | Essex |
| Tor View School | North West | Lancashire |
| Carmel College | North East | Darlington |
| Shepway Teaching School Alliance | South East | Kent |
| Horndean Infant School | South East | Hampshire |
| John Taylor High School | West Midlands | Staffordshire |
| North Liverpool Teaching School Partnership (Everton Nursery School and Family Centre) | North West | Liverpool |
| Kirk Sandall Infant Academy | Yorkshire and the Humber | Doncaster |
| Engayne Primary School | London | Havering |
| Fosse Way School | South West | Somerset |
| Piper Hill High School | North West | Manchester |
| Bohunt School | South East | Hampshire |
| Heronsgate Primary School | London | Greenwich |
| The Bridge Teaching School | London | Islington |
| Launde Primary School | East Midlands | Leicestershire |
| St Peter’s Church of England Primary and Nursery School | West Midlands | Shropshire |
| Evelyn Street Community Primary School | North West | Warrington |
| Heathfield School | South West | Somerset |
| George Abbot Teaching School | South East | Surrey |
| Pen Green Teaching School | East Midlands | Northamptonshire |
| The Mead Community Primary School | South West | Wiltshire |
| John Cabot Academy | South West | South Gloucestershire |
| Bishop Luffa School | South East | West Sussex |
| Kingsbridge Community College | South West | Devon |
| Chesterton Primary School | London | Wandsworth |
| Alexandra Park School | London | Haringey |
| Pallister Park Primary School | North East | Middlesbrough |
| Town End Academy | North East | Sunderland |
| The Blue Coat School | North West | Oldham |
| St John Vianney Roman Catholic Primary School | North East | Hartlepool |
| Oakthorpe Primary School | London | Enfield |
| Mount Street Academy | East Midlands | Lincolnshire |
| Wickersley School and Sports College | Yorkshire and the Humber | Rotherham |
| Sir Joseph Williamson’s Mathematical School | South East | Medway |
| Ilsham Church of England Academy | South West | Torbay |
| Cuckmere House School/TSA | South East | East Sussex |
| The Spinney Primary School | East of England | Cambridgeshire |
| North Beckton Primary School | London | Newham |
| Northampton School for Boys | East Midlands | Northamptonshire |
| The Queen Katherine School | North West | Cumbria |
| Ladycross Infant School | East Midlands | Derbyshire |
| Hassocks Infants School | South East | West Sussex |
| Huntingdon Nursery School and Childrens Centre | East of England | Cambridgeshire |
| St Edmund’s Nursery School and Children’s Centre | Yorkshire and the Humber | Bradford |
| Lionel Walden Primary School | East of England | Cambridgeshire |
| The Woodroffe School | South West | Dorset |
| Portswood Teaching School Alliance | South East | Southampton |
| Farlingaye & Kesgrave Teaching School Alliance | East of England | Suffolk |
| Pickhurst Infant Academy | London | Bromley |
| Two Mile Ash School | South East | Milton Keynes |
| Mary Rose School | South East | Portsmouth |
| Woodfield Infant School | West Midlands | Shropshire |
| St Bede C of E Primary Academy | North West | Bolton |
| East SILC John Jamieson School | Yorkshire and the Humber | Leeds |
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Published: 29 January 2015
Updated: 13 March 2015
From: Department for Education Sam Gyimah MP
Part of: Childcare and early education


#include "ros/ros.h"
#include "std_msgs/String.h"
#include "geometry_msgs/PoseStamped.h"
#include "mutex"
#include "angles/angles.h"
#include <stdio.h>
#include <fstream>
#include "sstream"
#include "geometry_msgs/Vector3.h"
#include "geometry_msgs/Quaternion.h"
#include "tf/transform_datatypes.h"
#include "tf/transform_listener.h"
#include <hri_package/Sens_Force.h>
#include <kinova_msgs/PoseVelocity.h>
Go to the source code of this file.
Functions | |
| void | getRPYFromQuaternionMSG (geometry_msgs::Quaternion orientation, double &roll, double &pitch, double &yaw) |
| Converts a quaternion message type into euler XYZ- Roll, Pitch, Yaw angles in radians. More... | |
| int | main (int argc, char **argv) |
| Main function needs 1 argument. More... | |
| void | poseGrabber (geometry_msgs::PoseStamped pose) |
| Callback to read pose values from Kinova drivers. Writes the pose in X,Y,Z(meters) and Quaternions to files. More... | |
Variables | |
| std::string | FILE_NAME |
| std::mutex | lock_pose |
| float | sequence_nr =0.00 |
| ros::Time | start_time |
| void getRPYFromQuaternionMSG | ( | geometry_msgs::Quaternion | orientation, |
| double & | roll, | ||
| double & | pitch, | ||
| double & | yaw | ||
| ) |
Converts a quaternion message type into euler XYZ- Roll, Pitch, Yaw angles in radians.
| orientation. | geometry_msgs::Quaterion |
| roll | |
| pitch | |
| yaw |
Definition at line 37 of file data_extractor_gmm.cpp.
| int main | ( | int | argc, |
| char ** | argv | ||
| ) |
Main function needs 1 argument.
| argc | = 2 |
| argv. | Arg1 = filename |
Definition at line 100 of file data_extractor_gmm.cpp.
| void poseGrabber | ( | geometry_msgs::PoseStamped | pose | ) |
Callback to read pose values from Kinova drivers. Writes the pose in X,Y,Z(meters) and Quaternions to files.
| pose |
Definition at line 50 of file data_extractor_gmm.cpp.
| std::string FILE_NAME |
Definition at line 24 of file data_extractor_gmm.cpp.
| std::mutex lock_pose |
Check README.md for more info
Definition at line 23 of file data_extractor_gmm.cpp.
| float sequence_nr =0.00 |
Definition at line 26 of file data_extractor_gmm.cpp.
| ros::Time start_time |
Definition at line 25 of file data_extractor_gmm.cpp.


---
layout: definitions
---
Let $U\subseteq\mathbb{R}$, and $\vec{a}\in\text{int}(U)$. The linear approximation of a function $f$ with respect to $\vec{a}$ is a linear function,
$$\begin{align*}
f(\vec{x})\approx l_{\vec{a}}^f:=f(\vec{a})+Df(\vec{a})(\vec{x}-\vec{a})
\end{align*}$$
Concepts
This comes from the definition and alternate definition of derivatives. If $f$ is differentiable at a point $\vec{a}$, then
$$\begin{align*}
f(\vec{x})=f(\vec{a})+Df(\vec{a})(\vec{x}-\vec{a})+r(\vec{x}-\vec{a}),
\end{align*}$$
where $r(\vec{x}-\vec{a})$ satisfies $\lim_{\vec{x}\to\vec{a}}\frac{r(\vec{x}-\vec{a})}{\vec{x}-\vec{a}}$.
If $\vec{x}-\vec{a}$ is small, as it is for a linear approximation near $\vec{a}$, then $r(\vec{x}-\vec{a})$ is really small, so
$$\begin{align*}
f(\ve{x})\approx f(\vec{x})+Df(\vec{x})(\vec{x}-\vec{a})
\end{align*}$$
Used In
Coming soon
Hypothesis
Coming soon
Results
Coming soon
Related
Coming soon


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This Activity really only does one simple thing, and that's pass the data through to the endpoints defined in the config.js
Doing this keeps this as simple as possible and thus...a hello world for Custom Interactions.


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DevEra appreciates documenting any profound experiences and sharing it with users. Here are some of the
Read Up!Most of the world accesses the internet on multiple devices. DESCRIPTION.
Percentage of users that are frustrated with page load times. DESCRIPTION
Most of the world accesses the internet on multiple devices. DESCRIPTION.
Percentage of users that are frustrated with page load times. DESCRIPTION
Most of the world accesses the internet on multiple devices. DESCRIPTION.
Percentage of users that are frustrated with page load times. DESCRIPTION
Most of the world accesses the internet on multiple devices. DESCRIPTION.
Percentage of users that are frustrated with page load times. DESCRIPTION


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1.1 Location : getOffset Killed by : com.waes.diffservice.services.DiffServiceTest.[engine:junit-jupiter]/[class:com.waes.diffservice.services.DiffServiceTest]/[method:returnsNotEqualWhenRightAndLeftAreNotEqualAndHaveTheSameSize()] replaced int return with 0 for com/waes/diffservice/dto/StringDifference::getOffset → KILLED
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1.1 Location : getLength Killed by : com.waes.diffservice.services.DiffServiceTest.[engine:junit-jupiter]/[class:com.waes.diffservice.services.DiffServiceTest]/[method:returnsNotEqualWhenRightAndLeftAreNotEqualAndHaveTheSameSize()] replaced int return with 0 for com/waes/diffservice/dto/StringDifference::getLength → KILLED
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View Tables
Make Reservation


This allows you to specify Ant-style "glob"s to match a set of files to be uploaded under your bucket name. The paths specified are considered relative to the build's workspace. Acceptable values include things like:


Preparation time
overnight
Cooking time
over 2 hours
Serves
Serves 4
This is a dish perfect for when you have a bit of time to prepare, or if you have leftover slow-cooked lamb from a Sunday roast.
To make the cold pickle, place all the ingredients in saucepan with 600ml/1 pint water and warm to a tepid temperature to dissolve the sugar. Transfer to a bowl and allow to cool.
Add the red onion, cover with cling film and leave in the fridge overnight.
Preheat the oven to 170C/150C Fan/Gas 3½.
Warm the olive oil in a lidded casserole dish over a medium heat. Add the butter and allow to foam. Season the lamb liberally all over and add to the pan, sealing each side until it’s caramelised all over.
Remove the lamb and set aside. Add the garlic cloves and half lemons to the casserole dish and allow to caramelise. Add the herbs and cook for a further 2 minutes. Drain off the butter and add the white wine. Bring to the boil and reduce to a simmer.
Return the shoulder of lamb to the casserole dish. Season with salt, put the lid on and place in the oven for 4 hours, basting regularly, adding a little water if needed so the pan never dries out.
Remove the red onions from the cold pickle and place in bowl. Add the chillies, spring onions, chopped coriander and sliced basil and stir together to make a salsa.
When the lamb’s cooking time is up, increase the oven temperature to 200C/180C Fan/Gas 6 to crisp up the skin. Allow the lamb to cool and pull apart with two forks.
Preheat the grill to the highest setting.
Drizzle the olive oil over the sourdough slices and chargrill to nice and golden brown, take off and rub with a fresh garlic clove
Add the tomatoes to the salsa and stir well. Add a squeeze of lime and lemon juice and season.
In a bowl, mix together the yoghurt, chopped mint, verbena, lime zest and juice to your taste.
Spread the salsa over the toast and top with the lamb.


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class FixedPriorityQueue<T> : PriorityQueue<T>
An extension of the class PriorityQueue that has a fixed size. If adding an item causes the maximum size to be exceeded, the smallest/first element is removed. |
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class ListenerList<T> : Iterable<T>
A list that is meant to be used for managing event listeners. The list ensures, that no duplicates or null elements can be added. For comparing listeners either the Object.equals method or the identity operator (==) can be used. Furthermore, this class is thread-safe and no ConcurrentModificationExceptions are thrown when adding or removing listeners while iterating the list. |
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data class Pair<out F, out S> : Serializable
A data structure that eases to pass around a pair of two objects. This object provides a sensible implementation of equals(), returning true if equals() is true on each of the contained objects. |
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open class SortedArrayList<T> : ArrayList<T>
An extension of the class ArrayList that automatically keeps its items in a sorted order, whenever new items are added. Such a list does not allow to add items at specific indices. Therefore an UnsupportedOperationException is thrown by the SortedArrayList.add and SortedArrayList.addAll methods that allow to specify an index. |
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open class SortedArraySet<T> : SortedSet<T>, NavigableSet<T>, Serializable
A set, whose items are sorted based on a specific Comparator or according to their implementation of the interface Comparable. In contrast to a TreeSet, two items are considered as duplicates, if their hash codes are equal, instead of evaluating the result of the Comparator or Comparable#compareToObject method. |
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data class Triple<F, S, T> : Serializable
A data structure that eases to pass around a triple of three objects. This object provides a sensible implementation of equals(), returning true if equals() is true on each of the contained objects. |


3.2.10. Master Data Recovery Function¶
Table of Contents
<IP_ADDRESS>. Summary¶
In normal cases, the master data is not rewritten when testing. However, in tests such as the master maintenance function, there are some test cases that cannot be executed without changing the master data. For example, in the abnormal-type test cases such as those where the data that should have existed did not exist, it is necessary to delete the records from the master data.
If the master data is changed during the test, the test of subsequent test classes may fail because the master data is in an unexpected state.
In order to prevent such unintentional test failures due to master data changes, when the master data is updated during an automated test, a function is provided to restore the master data to its original state when the test method ends.
<IP_ADDRESS>. Features¶
- You can always test with the correct state of master data, regardless of the order in which the tests are executed.
- Since the master data restoration is performed automatically, there is no need to provide the restoration process and data for restoration in each test class.
- Since the master data is restored in batches for each table from the backup schema, restoration can be done faster as compared to inserting the records one by one.
<IP_ADDRESS>. Required schemas¶
To use this function, the following two schemas are required.
| Schema | Description |
|---|---|
| Schema for automated testing | The schema used for automated testing. |
| Backup schema | A schema for storing the master data for use in restoration. |
<IP_ADDRESS>. Operation image¶
The automated testing framework fetches a list of table names to be monitored from the component configuration file. During test execution, the automated testing framework monitors the SQL log and detects whether an SQL statement was issued to change a monitored table.
If an SQL statement that changes a monitored table was issued, the changed table is restored after the test method ends. When restoring the table, all the records in the table are temporarily deleted. Then, all the records are inserted from the table in the backup schema.
<IP_ADDRESS>. Environment construction¶
Build an environment as follows and enable the master data restoration function of the automated testing framework.
<IP_ADDRESS>.1. Create a backup schema and submit the data¶
Create a schema for master data restoration. Create the same tables as the schema for automated test in the master data restoration schema, and submit the data.
Tip
It is not necessary to create all the tables in the master data restoration schema. Only the tables for which the master data is to be restored need to be created (it does not matter even if other tables exist).
<IP_ADDRESS>.2. When using a table with a foreign key¶
When restoring data from a table with a foreign key, it is necessary to perform the restoration process by keeping in mind the parent-child relationship. For this reason, this function uses the JDBC function as the default action to acquire and build the parent-child relationship, and controls deletion from the child table and insertion from the parent table in that order.
However, in the case of a project with a large number of tables, slow test problem may occur due to the process of building a parent-child relationship based on the JDBC function. To avoid this problem, a function is provided for performing deletion and insertion from tables based on the description order (refer to Configuration example) instead of using the JDBC function.
If you want to restore the master data based on the description order, add the following to the configuration file:
nablarch.suppress-table-sort=true
<IP_ADDRESS>.3. Describing tables to be monitored, in the component configuration file¶
Enumerate the tables to be monitored in the component configuration file for an automated test.
<IP_ADDRESS>.3.1. Settings items list¶
| Configuration item name | Description | Default values |
|---|---|---|
| backupSchema | Describe the schema name for master data restoration. | No |
| tablesTobeWatched | Enumerate the names of the tables to be monitored, in a list format. | No |
| testEventListeners | List of test event listeners. By registering the master data restoration class (nablarch.test.core.db.MasterDataRestorer) here, master data will be performed at the end of the test method. | No |
<IP_ADDRESS>.3.2. Configuration example¶
<!-- Master data recovery class -->
<component name="masterDataRestorer"
class="nablarch.test.core.db.MasterDataRestorer">
<!-- Backup schema -->
<property name="backupSchema" value="nablarch_test_master"/>
<!-- List of monitored tables -->
<property name="tablesTobeWatched">
<list>
<value>MESSAGE</value>
<value>ID_GENERATE</value>
<value>BUSINESS_DATE</value>
<value>PERMISSION_UNIT</value>
<value>REQUEST</value>
<value>PERMISSION_UNIT_REQUEST</value>
</list>
</property>
</component>
<IP_ADDRESS>.4. Example of log output¶
This function detects changes to the master data by monitoring the SQL log. It is necessary to output a log for this purpose.
<IP_ADDRESS>.4.1. app-log.properties¶
Specify the class to provide this function in the sqlLogFormatter class name.
sqlLogFormatter.className=nablarch.test.core.db.MasterDataRestorer$SqlLogWatchingFormatter
<IP_ADDRESS>.4.2. log.properties¶
Configure in log.properties so as to output the SQL log at DEBUG level or higher. In the following example, a dedicated logger (a logger that does not do anything) is configured to prevent the SQL log from being displayed in the standard output.
# Logger factory implementation class
loggerFactory.className=nablarch.core.log.basic.BasicLoggerFactory
# Log writer name
writerNames=stdout,nop
# Standard output for debugging
writer.stdout.className=nablarch.core.log.basic.StandardOutputLogWriter
writer.nop.className=nablarch.test.core.log.NopLogWriter # [Description] A logger that does not do anything
# Available logger name order
availableLoggersNamesOrder=sql,root
# For all logger acquisitions, the DEBUG level or higher is output in the standard output.
loggers.root.nameRegex=.*
loggers.root.level=DEBUG
loggers.root.writerNames=stdout
# The DEBUG level or higher is output for the logger acquisitions with "SQL" specified in the logger name.
loggers.sql.nameRegex=SQL
loggers.sql.level=DEBUG # [Description] Should be set to DEBUG level or higher
loggers.sql.writerNames=nop


Adapted by Neilor Tonin, URI Brazil
Read three numbers (variables A, B and C), which are the test scores of a student. Then, calculate the average, knowing that the note A has a weight of 2, the note B has a weight of 3 and the note C has a weight of 5. Consider that each note can go from 0 to 10.0, always with one decimal place.
The input file contains 3 floating-point numbers with one digit after the decimal point.
Print MEDIA(average in portuguese) according to the following example, with a blank space before and after the equal signal.
| Sample Input | Sample Output |
|
5.0 |
MEDIA = 6.3 |
|
5.0 |
MEDIA = 9.0 |
|
10.0 |
MEDIA = 7.5 |


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Lagosians tasked on environmental sustainability
by Ngozi Egenuka As global temperatures and sea levels are rising and causing devastating floods, Lagosians have been urged to be environmentally responsible.
The Founder, Lufasi Nature Park, Desmond Majekodunmi gave the charge at the commissioning of Lake Moses in remembrance of Senator Moses Adekoyejo Majekodunmi, as an effort to preserve nature and solve environmental challenges.
Majekodunmi said that stopping pollution and embracing afforestation could prevent climate change.
According to him, natural lakes help in absorbing floodwater and are a good source of water replenishment in the dry season.
He noted that the world is experiencing climate emergency,, hence, the need for a greater regard for creation.
“We are experiencing the hottest months and years ever. We have to plant more trees, shrubs to balance the ecosystem, as it is our life support system.
Member, Lagos State House of Assembly, representing Amuwo Odofin Local Government Area, Mojisola Alli-Macaulay, noted that safe guarding the environment is a collective responsibility and urged citizens to be a part of it.
“Our people need to understand that the environment has a way of rewarding you when it is taken care of. Planting trees around us help us breathe fresher air,” she added.
She noted that lawmakers are enacting laws and strengthening enforcement.
She encouraged Nigerians to make greater efforts towards protecting nature. “As Lagos develops, it is important for us to build in green spaces for urban development,” she added.
Deputy British High Commissioner, Harriet Thompson noted that there are climate change and mental health benefits of green spaces. She also congratulated Lufasi for their effort to protect the urban green spaces.
She encouraged Nigerians to make greater efforts towards protecting nature, stating that it would help maintain a healthier state, with reduced number of casualties in the hospitals.
“ As Lagos develops, it is important for us to build in green spaces to urban development. If we don’t do it now, it would be too late and we would have regrets down the line, “ she added.
Thompson noted her desire to work with various stakeholders to tackle the menace of climate change.


--- layout: post title: Using OpenSSL Hints date: 2015-02-04 14:40:09.000000000 -08:00 categories: [] tags: [] status: draft type: post published: false ---
Never too late to learn some stuff about OpenSSL.
openssl s_client -connect example.com:443 -prexit


{{site.user_description}}
| 11/2021 - 06/2022 | Exeter College, Oxford, UK Stipendiary Lecturer in Geophysics | |
| 06/2019 - present | Department of Earth Sciences, University of Oxford, UK Postdoctoral Research Associate | |
| 10/2016 - 04/2019 | Scripps Institution of Oceanography, UC San Diego, USA John W. Miles Postdoctoral Fellow at IGPP |
| 01/2021 - 10/2021 | Advance HE and CTL, University of Oxford, Oxford, United Kingdom Associate Fellowship, Descriptor 1 of the UK Professional Standards Framework (UKPSF) | |
| 07/2012 - 06/2016 | Johannes Gutenberg University, Mainz, Germany DPhil. in Natural Sciences - Geophysics | |
| 10/2008 - 06/2012 | University of Oxford, Oxford, United Kingdom MEarthSci. Earth Sciences |


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From Maingi Blog


Module Error
Every error is represented by a table with the following properties.
| error |
A description of any error returned by the library. |
-
error
-
A description of any error returned by the library.
Fields:
- code
The error code for the error.
-1
means the error comes from the client.
- message
A formatted error message (with the translated error code if is a Cassandra error).
- raw_message
The raw error message as returned by Cassandra.


1/10
Coffee Roasting Quiz
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Question 1
Option 1
Option 2
Option 3
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Aliases
FMN - Forget Me Not
FE - Forget Everything
TTK - Turn The Key
TTKS - Turn The Keys
CGOL/GCOL - Game Of Life Cruel
CPK - Cruel Piano Keys
FER - Foreign Exchange Rates
MAH - Modules Against Humanity
WOF - Who's On First
HOMEWORK - Module Homework
MTC - Monsplode Trading Cards
XRAY - X-Ray
SET - S.E.T
SYNC125 - Sync-125 [3]
SCHLAG - Schlag Den Bomb
MORSEMAZE/MORSEAMAZE - Morse-A-Maze
JACK/JACKOLANTERN - The Jack-O’-Lantern
101 - 101 Dalmatians
BITWISE - Bitwise Operations
BOOLEAN VENN - Boolean Venn Diagram
FT - Forget This
JV - Jewel Vault
L&R/LR/LNR - Left and Right
S&K/SNK/SK/KNUCKLES - Sonic & Knuckles
STH/SH/HEDGEHOG - Sonic the Hedgehog
LOOT - Splitting the Loot
MOUSE/MOUSEMAZE - Mouse In The Maze
GRAFFITI - Graffiti Numbers
JACK - The Jack-O’-Lantern
UCN - Ultimate Custom Night
FTA - Forget Them All
FEN - Forget Enigma
FUN - Forget Us Not
FP - Forget Perspective
FMW - Forget Me Now
FML - Forget Me Later
FIN - FOrget It Not
SF - Simon Forgets
BAMB - Bamboozling Button
BAMA - Bamboozled Again
BA - Bamboozled Again
BBG - Bamboozling Button Grid
BTK - Bamboozling Time Keeper
MMC - Mastermind Cruel
MMS - Mastermind Simple
SCF - Seven Choose Four
FCM - Four Card Monte


Instruction
- This experiment has 8 seesions.
- In each session, the same chart would show on the screen and disapear fast.
- After the chart disapear, please desribe what did you see/notice.
- When a session is finished, click the "next" button to enter the next session.
- After 8 sessions are completed, you can click the "submit" button.
- If you are ready, click the "continue" button.
Continue


Skupu.com
Skupu
coming soon…
Skupu is a unique service on the market. Stay tuned for the upcoming news!


DEAR FRIEND. PLEASE I AM A GIRL OF 25 YEARS AND I AM LOOKING FOR INVESTMENT OPPORTUNITY. I INTENDED TO INVEST THE SUM OF TWENTY MILLION UNITED STATES DOLLARS INHERITED BY MY LATE FATHER.I AM FROM ZIMBABWE.BUT I AM LIVING IN THE SOUTH AFRICA AT THE MOMENT FOR MORE INFORMATION REACH ME THROUGH THE EMAIL<EMAIL_ADDRESS>BEST REGARDS HARRIET MUDIWA


SuperM, BoA to perform at 2020 Global Goal in South Korea
LOS ANGELES (AP) - K-pop supergroup SuperM and singer BoA will perform at a Global Citizen event in Asia as part of a massive multi-continent concert next year.
The advocacy organization says the performers will join the lineup of Global Goal Live: The Possible Dream in Seoul, South Korea, on Sept. 26, 2020. The event is a part of a yearlong initiative to achieve the United Nations' Global Goals to end poverty and tackle climate change.
The goal is to secure $350 billion for the next 10 years.
The 10-hour concert will span five locations. It will be broadcast live from Seoul, New York City, Lagos, Nigeria, and other cities in Latin America and Europe.
Performers in other locations include Alicia Keys, H.E.R., Miley Cyrus, Red Hot Chili Peppers and Metallica.
___
This story has been corrected to show the initiative is seeking to raise $350 billion, not $350 million.
Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


DBC-Technical Blog:
Date: 07.26.15
Entry #: 3
Commentary:
So it's been a few days and I wanted to share with the world a very important concept in Ruby; Arrays & Hashes, their purposes and differences with examples to boot!Arrays:
Arrays are ordered collections of objects. As a variable can contain one specific assignment at a given time, arrays can be told to hold multiple: integers, floats, strings, even other arrays! When called upon by using array name[element position] you can retrieve what is stored in that specific position. Keep in mind the first location starts with 0. This comes in handy when building, (for example) a grocery list. 'groceries' can be the name of the array whereas the items on the list are the elements inside the array.
For example:
groceries = ['milk', 'butter', 'cheese']
puts letters[0] would ouput 'milk'.
Hashes:
Hashes are considered a collection of key-value pair where each key points to a specific set value. Best way to think of this is a restaurant menu. The item is considered the key, the value is the associated price.
For example:
menu = {"slice of pizza" => $2.49, "hot dog" => $1.49, "soda" => $0.49}
puts menu["slice of pizza"] would output '$2.49'
As we can see, one is moreso used to create lists and to call on objects' position to return a value (Array), the other is to create a specific set of 'key-value' rules such that when called upon a key, returns a single value output (Hashes).


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Designer with an emphasis on user research
I am drawn to people and building relationships. Whether that is with users, team members, or other stakeholders, my focus is to develop rapport and open communication. I am interested in people’s behavior and what motivates their actions which is why I find user research so intriguing. When interacting with others I try to empathize with them and understand their point of view. This ability / desire to connect with others improves my design work and allows me to create enjoyable experiences and interactions.
Research is crucial to the foundation of any design idea. But the knowledge gained needs to be converted into actionable insights. I approach every project systematically, considering the requirements and resources when creating a plan. I break the project up into phases in which we need to utilize various methods and tools to meet our goal. I understand that not everything goes according to plan. Which is why I can adjust and adapt to unforeseen situations in order to stay on track.
As the world is shifting to more digital interactions, I have had to adapt as a designer. This past year’s projects have all been conducted remotely through the use of digital platforms. Each project involved recruiting users online for remote research and testing purposes ie. usability testing, workshops, interviews and other qualitative and quantitative research methods. As well as collaborating with my teammates and co-designing with users using Miro, Zoom, Figma, etc. I feel very confident conducting whole projects remotely and enjoy the challenge of rethinking how things used to be done and reshaping it for the world we live in today.
D4CR: Malmö, Sweden
Malmö University: Malmö, Sweden
BookBoost: Malmö, Sweden
HYF Programming: Malmö, Sweden
MyEsteeme: Malmö, Sweden
Biola University: La Mirada, California
Mt. San Antonio College: Walnut, California
Tirsa (Rosa) Ramos-Pedersen
Email<EMAIL_ADDRESS>Phone: +45 53 70 08 98
Address: Malmö 21565


Privacy Policy
This Privacy Policy related to the personal data (hereinafter referred to as “the Policy”) shall apply to all personal data, which Serpstat service can obtain from the User, while using the official Web-site of Serpstat as follows: http://serpstat.com (hereinafter referred to as “the Web-site”), using Internet-services, services, participation in advertising and marketing campaigns or promotions and/or another cooperation with Serpstat (hereinafter referred to as “the Services”).
Serpstat shall not control and not be liable for the Web-sites of the third parties, which the User can visit due to the links, available at Serpstat Web-site. There can be own privacy policy on the Web-sites of the third parties and the User can be requested or collected other personal data.
This Policy explains, how Serpstat processes and protects personal information of users.
Using the Services and providing Serpstat with information, required for initiation of the further cooperation, you shall accept its use in accordance with this Policy.
For certain Services, Serpstat can publish additional provisions, supplementing this Policy.
Serpstat uses analytical tools and the third-party technologies such as Google Analytics to collect impersonal data about the users of the Service.
Serpstat shall be obliged to ensure confidentiality of information of all visitors of the Web-site.
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User Personal Data Obtained and Processed by Serpstat:
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Within this Policy user personal information shall be understood to mean:
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- Other information about the User, collection and/or provision of which is determined by Serpstat for rendering additional individual Services, of wich it is clearly indicated when ordering individual Services.
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- Link references. On this Web-site link references can be in such a format, which allows monitoring, if the visitors use them. This information shall be used to improve the quality of our advertisement.
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Within this Policy user personal information shall be understood to mean:
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The Objectives of Processing Personal Information of Users
- Serpstat shall process only that personal data, which is required to render and improve the quality of the Services.
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Personal information of user Serpstat can use for the purposes as follows:
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- For performance of statistical and other studies on the basis of impersonal data.
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- Implementation and/or performance of functions, powers and obligations, imposed on Serpstat by the legislation.
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Transfer of User Personal Data to the Third Parties:
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Serpstat shall not provide the third parties with access to your personal data and not disclose your personal data, except for our service provider, such as electronic payment system (for example, Stripe):
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Serpstat shall be entitled to transfer personal information of user to the third parties in the cases as follows:
- The User gave his consent to such actions, including for the purpose of registering software in the name of user by the copyright holders, distributors, or resellers of software.
- Transfer is required to achieve goals, performance and exercise of rights, functions, powers and obligations, imposed by the legislation of the country of registration of Netpeak Ltd. Company.
- Serpstat shall have a right to publish and share with affiliates the generalized information of impersonal nature, for example, tendencies in using the Services.
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Serpstat shall not provide the third parties with access to your personal data and not disclose your personal data, except for our service provider, such as electronic payment system (for example, Stripe):
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Safety of Your Personal Data
- Providing Serpstat with personal data upon registration, you agree to transfer them, as well as agree with the processing and storage.
- Serpstat shall take required and sufficient organizational and technical measures to protect personal data of user against unauthorized or failure access, destruction, change, blocking, copying, distribution, as well as against other wrongful acts with personal data of the third parties. You shall realize, that it is impossible to guarantee complete safety of data transfer on the Internet.
- Serpstat shall take all required, within due limits, measures to ensure the safety of your information in accordance with this Privacy Policy, as well as removal of outdated or false or excessive personal data, however, the User shall be responsible for provision of reliable information, as well as for update of the data provided in case of any changes.
- Serpstat shall keep all your personal data at our reliable servers. You shall be responsible for confidentiality of your password. Serpstat shall not ask users to tell us password to their personal accounts.
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Revision of the Privacy Policy
- From time to time, Serpstat can review the provisions of the Privacy Policy and publish new version on the Web-site. The User shall be obliged to check this page and familiarize himself with changes.


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A JS9 web site can define analysis tools that will be loaded into the user's JS9 Analysis menu. These analysis tasks are then executed by the back-end (CGI or node.js) server using the original FITS data, with results sent back to the browser for display.
To learn how to install the back-end helper, see: Installing a Server-side Helper.
Analysis tools are defined within files contained in the analysis-plugins directory. If a file in this directory ends with a ".json" extension, it is assumed to be an analysis definition file. The following sample analysis definition files will be found in the analysis-plugins directory by default:
The analysis definition files are loaded by the Node.js-based helper on startup and passed to each newly loaded image. In you change the definition of a tool in one of these files, or add a new definition file, you either need to restart the Node helper, or send it a SIGUSR2 signal:
kill -USR2 `ps guwax | egrep js9Helper | egrep -v egrep | awk '{print $2}'`Re-initialization is not required for CGI-based support, since the analysis tool definitions are sent to each image in raw form.
Analysis definition files are in JSON format (http://www.json.org/) and consist of an array of JavaScript objects, one for each analysis tool. The properties which define an analysis tool are:
The files property is a rule that determines whether an analysis task is available for a particular file. The following rules are defined:
The action string contains the command to execute. For security reasons, this action is never executed directly. Instead, the first argument of the command must be a wrapper script contained in the analysis-wrappers directory. The js9Xeq wrapper script contained therein is the default script for running JS9 analysis. The second argument in the action string is a command id, which is executed within the command-processing case statement of the js9Xeq. This wrapper script checks for valid commands and arguments, and then executes the specified command in a way that protects against malicious attack. You can modify this script to meet your needs by adding case statements for each of the new tasks you want to run.
Alternatively, you can run your analysis tasks through your own wrapper script, by placing it in the analysis-wrappers directory.  Obviously you can use js9Xeq as an example and modify it to suit your needs.
In either case, note that execution of a wrapper script is accomplished by pre-pending the path of the analysis wrapper directory to the wrapper script name and executing that full pathname directly. This prevents a would-be attacker from executing anything except the wrapper itself. Of course, you still have to be careful to avoid insecure shell coding in your wrapper script. See The World Wide Web Security FAQ for advice on writing CGI scripts. Note that JS9 scripts generally use bash or sh. Please make sure your bash and sh programs are properly patched to protect against the bash bug (CVE-2014-6271).
The action command line can contain macros (strings prefixed with the $ character) that will be expanded by the browser before the action is sent to the server for processing. Typically, these macros are used to specify filenames, regions, and (possibly) user parameters. The following intrinsic macros are defined:
The three regions macros return region info in the current wcs system. To specify an alternate wcs system, append "physical", "image", or "wcs" in parentheses, e.g., $regions(physical).
For example, to run the funcnts program, specifying the original FITS file as well as source and background regions, use:
funcnts $filename $sregions $bregions
Many analysis tasks do not require the user to select additional parameter options and can can be executed immediately. Other command require user-selected options. These latter options should be put into a web form, whose location is specified by the purl option. See the params/histplot.html file for an example.
Parameter options in a parameter form should have unique ids. These ids can then be added as macros to the action command line by prefixing them with a $. For example, the histplot command is:
js9Xeq histplot '$filename[$regions]' '$norm $bwidth' $column $binsHere, the norm, bwidth, column, and bins parameters are taken from the web form for histplot. The $filename and $regions macros are intrinsic to JS9.
The input element of the analysis form should run the JS9.SubmitAnalysis() command, which will serialize the form, pass it to the macro expander, and then send the resulting command string to the server for execution. See histplot.html for sample syntax.
The rtype property determine how JS9 handles return values:
NB: when text is returned, be aware that file pathnames are often output by programs. For security reasons, you should remove or modify these pathnames before returning the text. For example, JS9 funtools analysis routines use a sed command like this:
sed 's#'${JS9_DIR:-none}'#${JS9_DIR}#g;'to change pathnames containing the JS9 working directory so that they display the string "${JS9_DIR}" instead.
Sample scripts such as funcnts2flot and funhist2plot generate a JSON string that contains a valid flot object. For example, the radial profile plot contains x, y, and error values:
{ "label" : "surf_bri(...) vs. avg_radius(...)", "points" : {"errorbars" : "y", "yerr" : {"show" : "true", "color" : "red"}}, "data": [[x1, y1, e1], [x2, y2, e2], ... [xn, xn, en]] }while the histogram plot contains only x and y values:
{ "label" : "counts vs. ...bin", "data": [[x1, y1], [x2, y2], ... [xn, xn]] }If your analysis task generates one of these two plot formats, JS9 will display the plot data. By default, the plot is generated using the jQuery flot library (see http://www.flotcharts.org/), which is supplied with JS9.
You also can use the plotly library for plotting. To do this, set the JS9.globalOpts.plotLibrary property to "plotly" and load the library in the web page header. (Due to its relatively large size, plotly is not packaged in the JS9 support file.)
Plotting is still somewhat experimental and rudimentary. For example, flot (but not plotly) simply uses the x and y keys to toggle between linear and log scaling. We will be adding features and improvements with time. Please work with us to improve plotting support.
Finally, the hidden value determines whether or not a task is displayed in the Analysis menu. If hidden value is true, the analysis task is not shown. However, it still is available to the JS9.RunAnalysis() routine. The fits2png command in the fits2png.json definition file is an example of a hidden command: it is run indirectly by JS9 and need not be listed as a user task.
By default, server-side JS9 analysis tasks are executed using the Analysis menu, but they also can be executed directly from the web page by means of HTML elements (buttons, forms, etc.) To do this, a web page author simply creates the desired interface and calls either JS9.RunAnalysis() (for buttons, menus, etc.) or JS9.SubmitAnalysis() (for forms). These are described below. See the js9analysis.html page for an example.
The JS9.RunAnalysis() routine is used to execute an analysis task and return the results for further processing within the web page. The JS9.SubmitAnalysis() routine works similarly, but it is used with a form: it automatically serializes the form values and passes them to the analysis macro expander so that these values can be put into the analysis command line. The calling sequences for these routines are similar:
JS9.RunAnalysis(aname, [options], returnFunc); JS9.SubmitAnalysis(this, aname, returnFunc);where:
http://api.jquery.com/serializeArray/
The returnFunc() routine is a callback function to process the returned data from the analysis task. The calling sequence is:
returnFunc(stdout, stderr, errcode, aobj)where:
By default, server-side analysis is initiated in the directory in which Node.js or the CGI script is run. For tasks not creating temp files, this usually is sufficient. For other cases, it can be desirable to isolate users in their own temporary work directories. To do this automatically (i.e. without the task itself having to change directories), set the following property in the globalOpts object of the js9Prefs.json file:
You also can set the following globalOpts configuration parameters in js9Prefs.json:
For Node.js-base helpers, the work directory is removed when the web page is unloaded. This can be changed by setting rmWorkDir to false in the preference file. For CGI-based helpers, you must remove the work directory manually (e.g., using a cron job that checks for time-last-accessed of work directories).
Note that the workDirQuota is not a hard quota: JS9 tasks such as load proxy enforce their own checks using this value. For example, load proxy only checks whether the quota has been exceeded before loading the next file. This means that users can load one file that will bring the total size above the quota. Thus, if the quota is 10Mb and the work directory is empty, the load proxy will load a 50Mb file. But it will not more load files until already-loaded files have been closed in JS9 (and thereby deleted in the temp directory) so as to bring the total under the quota.
NB: use this service with care. It allows users to consume disk resources!
For security reasons, JavaScript contained in one web page can access data in another web page only if both web pages have the same origin (i.e., basically coming from the same host). This policy is called the Same Origin Policy. This means that JS9 cannot load a FITS file from an arbitrary URL without using special techniques.
One such technique is to use a proxy server: the URL is not loaded directly into JS9, but instead is copied back to the server from which JS9 itself was loaded. The file is then retrieved by JS9 so that the "same origin" rules are not violated.
A CGI or Node.js back-end server can be set up as a proxy server by setting the following globalOpts properties in the js9Prefs.json file (before starting the server):
When the back-end server supports the proxy service, you will see a menu option in the File menu called open link via proxy ...
Enter a FITS URL into the proxy dialog box and press the Load button. The data file will be retrieved by the server and stored in a directory specifically tied to the web page. (The directory and its contents will be deleted when the page is unloaded.) JS9 then will load the file from this directory. Note that since the file resides on the back-end server, all back-end analysis defined on that server is available.
This technique can also be used FITS links from other sources. For example, if you have a FITS file on Google Drive, Dropbox or even a static web page, you can generate/copy the link and paste it into the proxy dialog box for display. (Dropbox files also can utilize the open link via CORS ... option, which downloads the data directly to JS9, bypassing the proxy server.)
Note that individual proxy FITS files are deleted from the working directory when they are closed in JS9 using the File:close image menu option.


Open Banking Connector
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I'm studying Systems Analysis and Development but since i was a child i wanted to work with something in this field because i am very fascinated by technology and get realy excited thinking in everything you can do with it. I've been studying about HTML, CSS, C, C#, SQL and I also like to learn a little bit about hardware, information security and networks.
State company that manages the retirement of public servants.
· Scanned over 8000 process in 2 years · Using VBA i worked with a colleague to automate retirement processes digitalization improving the performance of the interns and updating the previous software that was 10 years old.
· Performing SQL Server database search. · Find, analyse and solve bugs from the company websites. · Technical Support · Create and use a Web Crawler.
Cross Functional Teams
Agile Development & Scrum
While i was an intern at ParanaPrevidência, i created this VBA Project that was based in a old excel sheet. I started to learn more about excel because i wanted to improve the speed of the retirement processes digitalization and the old method was really slow.
My first creation in the development area was this website for the Integration Project I at Open University, using HTML & CSS and planning the project using business modeling tools.
Apart from being a great developer. When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am not an aspiring chef, and I spend a large amount of my free time exploring the latest technology advancements in the world.
Arquitetura de Redes Gabriel Torres - Udemy
Semana Omnistack 11 Diego Fernandes Rocketseat
Minicurso SQL Alessandro Champoski BNE
HTML/CSS/JS Training Gianlucca Claudino BNE
C# Training Bruno P. Campos CFBCursos
Competências Profissionais, Emocionais e Tecnológicas para Tempos de Mudança Leandro Carnal - PUCRS


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{% static 'images/sponsor_digital_ocean_logo.png' as do_img %}
{% include 'marketing/partials/_sponsor.html' with sponsor_link='https://m.do.co/c/457f0988c477' sponsor_image=do_img %}
{% static 'images/sponsor_sentry_logo.svg' as sentry_img %}
{% include 'marketing/partials/_sponsor.html' with sponsor_link='https://sentry.io/?utm_source=referral&utm_content=pyslackers&utm_campaign=community' sponsor_image=sentry_img %}


--- layout: page title: About sitemap: priority: 1.0 changefreq: weekly lastmod: 2014-09-07T16:31:30+05:30 ---
This is a demo ABOUT page. Edit about.html to reflect the changes.
about.html


K8s Test App
welcome_text
hostname
!
This page was loaded
counter_value
times since
counter_created
.
The counter is stored in the database
jdbc_url
. The application runs with profile(s)
profiles
.


Running the program¶
The only script that should ever be called directly is “lkmc.py”, which should be in your PATH if you installed the code as suggested. Examples:
Print the version:
lkmc.py -v
To run a minimisation you would run:
lkmc.py Minimise [OPTIONS] [ARGS]
where a list of options/args can be printed by running:
lkmc.py Minimise -h
To run a KMC simulation:
lkmc.py KMC [OPTIONS] [ARGS]
where a list of options/args can be printed by running:
lkmc.py KMC -h
All available options to the lkmc.py wrapper script are available by running:
lkmc.py -h
Nodes file¶
If you’re planning to run a KMC simulation (instead of just do a minimisation, for example) you need to create a nodes file, to tell the code where to run. Each line of the file should contain a hostname for each process to run on (similar to an MPI machinefile). Blank lines and lines beginning with ‘#’ are ignored. For example, a file containing only the lines:
localhost
localhost
localhost
localhost
will run on 4 processors on your machine.
In order to automatically generate such a file on hydra (PBS) or hera (slurm) you could add the following lines to your init scripts:
cp -f $PBS_NODEFILE nodes.IN
for hydra (PBS), or:
srun /bin/hostname | sort > nodes.IN
for hera (slurm).
Note: with the above nodes file the code will actually run on 4+2 processors. The lines in the nodes file are for worker processes. In addition to those we have the main (server) process and also a writer process, which handles IO intensive tasks (writing files, zipping files, plotting stuff, rendering images) that are carried out asynchronously. That being said, you should set the number of lines in the nodes file to the number of available processors; the additional 2 processes are not CPU intensive.
Important: you must ensure that you can SSH into any node that you specify in the nodes file without requiring a password (public key login must be configured for those nodes).
Input files¶
If you’re planning to run a KMC simulation (instead of just doing a minimisation, for example) you need to ensure the input files exist and are named correctly. When running other types of simulations (minimisations, etc.) the input files are specified as command line arguments.
The input directory specified in the input file (parameter name ‘inputDirectory’; defaults to ‘input’) must exist. A reference lattice file named ‘ref.dat’ and the initial lattice file named ‘launch.dat’ must exist in the input directory.
In addition you have a directory containing any input files that are required by the MD library you are using. The name of this directory is set in the input file and defaults to ‘md’.
Your directory structure should look something like this for running a KMC simulation:
runDir/
runDir/lkmcInput.IN
runDir/nodes.IN
runDir/input/
runDir/input/ref.dat
runDir/input/launch.dat
runDir/md/
runDir/md/*MDInputFiles*


Infrastructure DevOps Cookbook¶
DEVOPS details¶
you don’t have to be a cloud devops engineer - just have one on your team
or phone a friend - tony butzer
DEVOPS WEEKLY¶
Class number 1
create mini-pangeo
Create Mini-Pangeo¶
add devops/tfinfra to git repo harmony
done
terraform apply butzer-neal-mini-pangeo – from github harmont devops tfinfra
in test
create another-one butzer-neal-mini-pangeo-demo-only-nuke-me
skip
tljh install – the littleist jupyter hub := mini-pangeo
create users plus harmony user from notebook
do in class
http://<IP_ADDRESS>:8080/notebooks/jovyan/06-Instructor/01-Students.ipynb
tljh install¶
cd /opt/et/pkg/tljh
make services
make all
sign in hub as ubuntu
cd files
make et-depends
then add users from users.txt in pkg/tljh
set user passsword (this project rocks)
techno-babble¶
ubuntu@gahub1:/opt/et/pkg/tljh$ more bootstrapTheHub.sh
#! /bin/bash
curl https://raw.githubusercontent.com/jupyterhub/the-littlest-jupyterhub/master/bootstrap/bootstrap.py \
| sudo python3 - \
--admin ubuntu
docker and docker logs¶
see github repo
https://github.com/tonybutzer/etops/tree/master/grid_veget_c
look at Dockerfile
look at gridmeister.py
look at *.sh
bash cmd_…
CHS and CHS Processes¶
Process recap of requestor pays¶
bucket = dev-et-data
chat = rich signell and sam congden
fyi chs customer user group
CHS Processes¶
The Board CAB¶
CAB Request Process¶
https://support.chs.usgs.gov/display/CHSKB/CAB+-+Custom+Infrastructure+Request
Synopsys¶
RFC - request for change
developers do not have root permissions
so they request admins to change AWS on their behalf
CHS use CloudFormation Templates (CFTs)
Step by Step Guide
our account = LSDS - our EC2 Role = lsds-developer-ec2 # IAM Role
create a new branch for your cft change - more info needed
make changes and sumbit a commit
push branch to repository
create a merge request
include brief description
create a change request
https://taskmgr.chs.usgs.gov/servicedesk/customer/portal/9
submit AN rfc HERE
Resources
https://code.chs.usgs.gov/chs-library
Review process
in by friday - reviewed by the next Tuesday
notification of completed RFCs
Classes
Standard
Normal
changes security posture
CHS Operations completes Change
Customer/user validates the operation works
Closed
modifications use a CRQ-# - what?
logged, documented and reviewed by all developer groups.
CHS Example lsds-s3-dev-et-data¶
Commit¶
https://code.chs.usgs.gov/CHS-Custom-Infrastructure/LSDSDPAS/LSDSDPAS/-/commit/981fe8bdf093fd6345bf0ad0854867a311a11eb4
gitlab repo¶
https://code.chs.usgs.gov/CHS-Custom-Infrastructure/LSDSDPAS/LSDSDPAS/-/tree/development
CFT¶
https://code.chs.usgs.gov/CHS-Custom-Infrastructure/LSDSDPAS/LSDSDPAS/-/blob/development/S3/Templates/lsds-s3-dev-et-data.yml
Pangeo Process¶
https://code.chs.usgs.gov/usgs-chs/CHS-IaC/baseline/managed-services/pangeo/pangeo-image/-/blob/master/pangeo-notebook/packages.txt
Need to understand the gitlab structure¶
code.chs.usgs.gov
usge-chs
CHS-IaC baseline
managed-services/pangeo
Special IAM Users¶
An AWS Identity and Access Management (IAM) user is an entity that you create in AWS to represent the person or application that uses it to interact with AWS. A user in AWS consists of a name and credentials. An IAM user with administrator permissions is not the same thing as the AWS account root user.
bucket¶
bucket data moving¶
getting data from dev-et-data to the netapp¶
powershell
net use
net use w: \igskmncnfs016\watersmartfs1
mkdir
mkdir w:/Projects/Cloud_Veg_ET/fromtony/tiles/tile40N-90E_chip40N-82E
Using FileZilla¶
Using Pycharm¶
Prerequisite
Mount S3 as /opt/et_data
Mounting S3¶
s3fs.sh
#! /bin/bash
REGION=us-west-2
sudo s3fs -o allow_other -o iam_role="lsds-developer-ec2" \
-o use_cache=/tmp \
-o url="https://s3-$REGION.amazonaws.com" \
-o umask=0227,uid=1000 \
-o nonempty \
dev-et-data /opt/et_data
# some debug options
# -o dbglevel=info -f \
# -o curldbg \
Pycharm Code for ssh and for sftp¶
import fsspec
import paramiko
Code example select file pattern download¶
Pycharm on windows with modules installed
tip install without the VPN
import fsspec
import paramiko
ip='<IP_ADDRESS>'
port=22
username='ubuntu'
password='etrocks'
dst = 'w:/Projects/Cloud_Veg_ET/fromtony/tiles/tile40N-90E_chip40N-82E/'
src = 'dev-et-data/tiles/tile40N-90E_chip40N-82E/'
fs_src = '/opt/et_data/tiles/tile40N-90E_chip40N-82E/'
cmd='aws s3 ls ' + src
ssh=paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(ip,port,username,password)
stdin,stdout,stderr=ssh.exec_command(cmd)
outlines=stdout.readlines()
for i in range(0,len(outlines)+1, 100):
print(outlines[i])
print ('this many lines in a steffi dir',len(outlines))
fs = fsspec.filesystem('sftp', host=ip, username=username, password=password)
#mylist = fs.ls(fs_src)
#print(mylist)
file = outlines[0].split()[-1]
from_file = fs_src + file
to_file = dst + file
print(from_file, to_file)
#fs.get(from_file, to_file)
my_dd_list=[]
for i in range(0,len(outlines)):
file = outlines[i].split()[-1]
if file.startswith('etasw_'):
my_dd_list.append(file)
print('dd num of files is ', len(my_dd_list))
import time
for file in my_dd_list:
from_file = fs_src + file
to_file = dst + file
print(from_file, to_file)
t1 = time.time()
fs.get(from_file, to_file)
t2 = time.time()
print('file {} took {} seconds - TOO LONG!'.format(file, t2-t1))