2.2. Scikit-learn tutorial: statistical-learning for sientific data processing¶
Online version: http://gaelvaroquaux.github.com/scikit-learn-tutorial/
Zip file for off-line browsing: https://github.com/GaelVaroquaux/scikit-learn-tutorial/zipball/gh-pages
Statistical learning
Machine learning is a technique with a growing importance, as the size of the datasets experimental sciences are facing is rapidly growing. Problems it tackles range from building a prediction function linking different observations, to classifying observations, or learning the structure in an unlabeled dataset.
This tutorial will explore statistical learning, that is the use of machine learning techniques with the goal of statistical inference: drawing conclusions on the data at hand.
scikits.learn is a Python module integrating classic machine learning algorithms in the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib).
Note
This document is meant to be used with scikit-learn version 0.7+.
Warning
In scikit-learn release 0.9, the import path has changed from scikits.learn to sklearn. To import with cross-version compatibility, use:
try:
from sklearn import something
except ImportError:
from scikits.learn import something
- 1. Statistical learning: the setting and the estimator object in the scikit-learn
- 2. Supervised learning: predicting an output variable from high-dimensional observations
- 3. Model selection: choosing estimators and their parameters
- 4. Unsupervised learning: seeking representations of the data
- 5. Putting it all together
- 6. Finding help


--- layout: post status: publish published: true title: emacs - building emacs 24.x author: display_name: hojunbaek login: hojunbaek email<EMAIL_ADDRESS>url: '' author_login: hojunbaek author_email<EMAIL_ADDRESS>wordpress_id: 1407 wordpress_url: http://ezcocoa.com/?p=1407 date: '2012-02-02 06:55:53 +0900' date_gmt: '2012-02-02 06:55:53 +0900' categories: - Emacs tags: - full screen comments: [] ---
environment is MAC OS X version 10.7.2.
you can use as following step.
[code]
$ git clone git://git.savannah.gnu.org/emacs.git
$ wget http://cloud.github.com/downloads/typester/emacs/feature-fullscreen.patch
$ cd emacs
$ patch -p1 -i ../feature-fullscreen.patch
$ sh autogen.sh
$ ./configure --with-ns
$ make && make install
$ mv nextstep/Emacs.app /Applications/
[/code]
To toggle full-screen mode iside emacs:
M-x ns-toggle-fullscreen
you can check about version 24.x from following site.
http://www.masteringemacs.org/articles/2011/12/06/what-is-new-in-emacs-24-part-1/
other link
solarized theme
full-screen description


Turn your clothes into cash
Curtsy lets you sell your cute clothes. Whether you want to clean out your closet or fund for your next fave outfit, Curtsy makes it easy.
We're big on the re-sale. Items you buy on Curtsy go into your closet so you can easily re-sell with one tap.
Say "bye" to being bored with your clothes.
How selling works
Curtsy is the easiest way to sell your cute clothes. We recommend selling the stuff that you’d still want to buy. Items that are on trend and in-season sell best.
View Seller FAQPOST IN UNDER A MINUTE
Posting is quick and easy: we’ll ask you to upload photos, describe your item, and set your price. Not sure about price? Don’t worry! We’ll suggest a price based on the recently sold items with the same brand and condition.
Learn about postingTo ensure a good shopping experience for buyers on Curtsy, we require all listings have at least one photo of the item on a person.
SIMPLE SHIPPING
On Curtsy, buyers pay for shipping. The price of shipping is either $4.25 (if your item is under 1 lb), or $7.50 (more than 1 lb). You'll select the correct price when you post your item.
When you make a sale, we’ll email you a pre-paid shipping label. It will work with any box or envelope. If your label is for Priority Mail (over 1 lb), you can use free supplies at USPS. We also offer our Shipping Kit for $3.84.
You can give the package to your mailwoman, drop it any blue collection box, schedule a free package pickup, or take it to the post office.
Learn about shipping for sellersINSTANT PAYOUTS
You’ll be paid when the tracking shows the item is shipped. The money will go into your Curtsy Wallet, and from there you can transfer instantly to your debit card or bank (takes less than 5 minutes) OR spend the money in the app :)
Learn about getting paidOUR FEE
We keep a small portion of every sale that we use to run our platform. You’ll be able to see the exact amount we take when you post so there are no surprises.
How Buying Works
Curtsy is the #1 place to save on cute clothes. It's like Nordstrom or Revolve, but way cheaper. We recommend checking the app daily for new arrivals and “loving” items you like-- the good ones won’t be around for long!
View Buyer FAQFAST SHIPPING
We ask sellers to ship your item within 1-2 days of your order. Most items take 2 days in transit after they're shipped by the seller.
Need it soon? Feel free to message the seller before you buy and ask when they could ship it.
After your item is shipped you’ll get a text with a link to track it.
APPLE PAY & MORE
When you’re ready to buy, easily checkout using Apple Pay or any major credit or debit card. Payment is securely handled by Curtsy, and we hold the money until the seller ships your item.
Learn about checkout and paymentASK QUESTIONS
There's a button to "Message seller" on every item. Most sellers reply in under an hour. Need help from Curtsy? We’ll message you when you sign up -- just reply to that message if you ever need help.
WORRIED ABOUT FIT?
While we don’t offer returns, we do move the item into your Curtsy closet after you buy so you can easily resell it with one tap.
Chances are if you bought something, someone else wants it to-- most items that are re-listed sell in under 48 hours.
BUYER GUARANTEE
We guarantee a full refund if there are any issues with the item that weren’t described in the listing. Our support team is available via chat and phone throughout your whole buying experience in case you need help.


#include <buffers.h>
Public Methods | |
| TVMemMgr () | |
Static Public Methods | |
| void | resizeSafetyPool (size_t sz=DEFAULT_SAFETY_POOL_SIZE) |
| int | safetyPoolExhausted () |
| void | clearSafetyPool () |
| void | allocateDiscardable (void *&adr, size_t sz) |
| void | freeDiscardable (void *) |
| void | suspend (void) |
In particular, TVMemMgr manages the safety pool. For most applications, TVMemMgr and TBufListEntry objects work behind the scenes without the need for specific programmer action or intervention.
Definition at line 88 of file buffers.h.
|
|
Constructor. Does nothing if the safety pool is already initialized (that is, if private data member inited = 1). Otherwise, calls method TVMemMgr::resizeSafetyPool to establish a default safety pool with the size given by the constant DEFAULT_SAFETY_POOL_SIZE. The latter is currently set to 4,096 (bytes) in `buffers.h'. The constructor also sets inited to 1. |
|
|
For internal use only. Tries to allocate a cache buffer (TBufListEntry object) of size `sz'. If successful, `adr' returns a pointer to the allocated buffer; otherwise, `adr' is set to 0. TGroup::getBuffer() calls allocateDiscardable() with `adr' set to the TGroup::buffer data member. |
|
|
Undocumented. |
|
|
For internal use only. Frees the buffer allocated at block by an earlier allocateDiscardable() call. TGroup::freeBuffer() calls freeDiscardable() with block set to the TGroup::buffer data member. |
|
|
Resizes the safety pool to `sz' bytes. The previous safety pool, if one exists, is freed first. inited private data member is set to 1, safetyPool is set to point to the new safety pool, and safetyPoolSize is set to `sz'. If the `sz' argument is omitted, the default value is assumed. If `sz' is 0, both safetyPool and safetyPoolSize private data members are set to 0. |
|
|
Returns 1 (True) if the safety pool is initialized and its allocation is exhausted. Otherwise, returns 0 (False). |
|
|
Undocumented. |


--- layout: post title: Blog Post #1 ---
The learning goal of the game is that the player learns the history of hip-hop, and interesting facts about the industry.
The setting is in a crystal prison/dungeon.
The things that you can collect are keys that can be found in other rooms.
You win by finding Tupac in room 10.


Regina Pats deal defenceman to Swift Current Broncos in exchange for forward
Blueliner Sam McGinley heads to Swift Current in exchange for 18-year-old Carter Chorney.
by Regina Leader-PostThe Regina Pats brought in some new blood as they look to turn things around after a tough start to the WHL season.
The club announced Wednesday that it had acquired 18-year-old forward Carter Chorney from the Swift Current Broncos.
Going the other way is 17-year-old defenceman Sam McGinley. The 6’2, 180 pound blueliner was drafted by the Pats in the fifth round of the 2017 WHL Bantam Draft. He has one assist in 11 games.
Chorney, listed at 6’1 and 171 pounds, was originally a second round pick of the Spokane Chiefs in 2016. The Sherwood Park, Alta. product came into the WHL as a former Alberta Bantam Hockey League 2015 Rookie of the Year. He’s tallied 17 goals and 33 points in 120 WHL games split between the Chiefs and the Broncos.
The Pats (2-12-2-0) are back in action Saturday when they’ll host the Prince Albert Raiders at the Brandt Centre.


Twitter Geolocation Predictor¶
This is a deep-learning tool to predict the location of a Twitter user based solely on the text content of his/her tweets without any other form of metadata.
Overview¶
The Twitter Geolocation Predictor is a Recurrent Neural Network classifier. Every training sample is a collection of tweets labeled with a location (e.g. country, state, city, etc.). The model will tokenize all tweets into a sequence of words, and feed them into an Embedding Layer. The embeddings will learn the meaning of words and use them as input for two stacked Long-Short Term Memory layers. A Softmax fully-connected layer at the end yields the classification result.
Getting Started¶
Dependencies¶
- Python 3.5
- tensorflow
- keras
- nltk
- pandas
- numpy
- sqlalchemy
- sklearn
- psycopg2
Installation¶
Clone the repository and install all the dependencies using pip.
$ git clone git@github.com:jmatias/uiuc-twitter-geolocation.git
$ cd uiuc-twitter-geolocation
$ sudo pip3 install -r requirements.txt
This will install the latest CPU version of Tensorflow. If you would like to run on a GPU, follow the Tensorflow-GPU installation instructions.
Using A Pre-Processed Dataset¶
The tool comes with a built-in dataset of ~430K users located in the U.S. (~410K for training, ~10K for development and ~10K for testing). To train a model using this dataset, run the train.py sample script.
Note: The dataset has a size of approximately 2.5GB.
$ python3 train.py --epochs 5 --batch_size 32 --vocab_size 20000 --hidden_size 100 --max_words 100 --classifier state
Using TensorFlow backend.
Downloading data from https://dl.dropbox.com/s/ze4ov5j30u9rf5m/twus_test.pickle
55181312/55180071 [==============================] - 11s 0us/step
Downloading data from https://dl.dropbox.com/s/kg09i1z32n12o98/twus_dev.pickle
57229312/57227360 [==============================] - 12s 0us/step
Downloading data from https://dl.dropbox.com/s/0d4l6jmgguzonou/twus_train.pickle
2427592704/2427591168 [==============================] - 486s 0us/step
Building model...
Hidden layer size: 100
Analyzing up to 100 words for each sample.
Building tweet Tokenizer using a 20,000 word vocabulary. This may take a while...
Tokenizing tweets from 59,546 users. This may take a while...
Training model...
Train on 50000 samples, validate on 9546 samples
Epoch 1/1
1664/50000 [..............................] - ETA: 3:59 - loss: 3.8578 - acc: 0.0950 - top_5_acc: 0.2536
You can also try using this data from your own source code.
In [1]: from twgeo.data import twus_dataset
Using TensorFlow backend.
In [2]: x_train, y_train, x_dev, y_dev, x_test, y_test = twus_dataset.load_state_data()
In [3]: x_train.shape
Out[3]: (410336,)
In [4]: y_train.shape
Out[4]: (410336,)
In [5]: x_train, y_train, x_dev, y_dev, x_test, y_test = twus_dataset.load_state_data(size='small')
In [6]: x_train.shape
Out[6]: (50000,)
In [7]: y_train.shape
Out[7]: (50000,)
Pre-Processing your own data¶
| Tweet Text | Location |
|---|---|
| Hello world! This is a tweet. <eot> This is another tweet. <eot> | Florida |
| Going to see Star Wars tonite! | Puerto Rico |
| Pizza was delicious! <eot> I’m another tweeeeeet <eot> | California |
Given a raw dataset stored in a CSV file like the one shown above, we can preprocess said data using twgeo.data.input.read_csv_data()
. This function will:
- Tokenize the tweet text.
- Limit repeated characters to a maximum of 2. For example: ‘Greeeeeetings’ becomes ‘Greetings’.
- Perform Porter stemming on each token.
- Convert each token to lower case.
The location data may be any string or integer value.
import twgeo.data.input as input
tweets, locations = input.read_csv_data('mydata.csv', tweet_txt_column_idx=0, location_column_idx=1)
Training the Model¶
from twgeo.models.geomodel import Model
from twgeo.data import twus
# x_train is an array of text. Each element contains all the tweets for a given user.
# y_train is an array of integer values, corresponding to each particular location we want to train against.
x_train, y_train, x_dev, y_dev, x_test, y_test = twus.load_state_data(size='small')
# num_outputs is the total number of possible classes (locations). In this example, 50 US states plus 3 territories.
# time_steps is the total number of individual words to consider for each user.
# Some users have more tweets then others. In this example, we are capping it at a total of 500 words per user.
geoModel = Model(batch_size=64)
geoModel.build_model(num_outputs=53, time_steps=500,vocab_size=20000)
geoModel.train(x_train, y_train, x_dev, y_dev, epochs=5)
geoModel.save_model('mymodel')
Making Predictions¶
In [1]: from twgeo.models.geomodel import Model
Using TensorFlow backend.
In [2]: from twgeo.data import twus_dataset as twus
In [3]: x_train, y_train, x_dev, y_dev, x_test, y_test = twus.load_state_data(size='small')
In [4]: geoModel = Model()
In [5]: geoModel.load_saved_model('mymodel')
Loading saved model...
In [6]: geoModel.predict(x_test)
Out[6]: array(['CA', 'FL', 'NY', ..., 'TX', 'MA', 'KY'], dtype=object)
Results¶
The built-in TWUS dataset was used to train US State and US Census Region classifiers. Using a hidden layer size of 300 neurons, timestep window of 500 words and a vocabulary size of 50,000 words, the model achieves the following results.
| Classification Task | Test Set Accuracy | Test Set Accuracy @ 5 |
|---|---|---|
| US Census Region | 73.95% | N/A |
| US State | 51.44% | 75.39% |


Fireside Chat (or We're Cooking in a Chef's Kitchen)
So, we were asked to watch this video, which is a Fireside Chat with Dev Bootcamp founder, Shereef Bishay. In the video, he discusses how and why Dev Bootcamp was created, their mission and goals, and what the learning environment will be like during our time there.
I found the lecture very intriguing, and it touched on quite a few topics that I have already discussed with family and friends. While technology and industry have grown at an unprecedented rate, our schooling has remained static and unchanged. The only thing that has really grown in terms of education is the tuition. In fact, many people who attend college simply go for the “experience”, which primarily includes social activities. Learning tends to take a backseat, and much of the time is spent “figuring out what you want to do.” In fact, four years out of college and I have more friends than not who are still trying to figure it out!
This is where Dev Bootcamp comes in. The majority of people who attend DBC already know what they want to do: program. This is the bucket that I fall under. I eat, sleep, and breathe coding. And so far, I’ve noticed that most of my fellow classmates do too. Not only do we all have a passion for coding, but we are all highly motivated to take action and be the best developers that we can possibly be. There is absolutely something to be said to be surrounded with other people who are competitive, motivated, and know what they want – they inspire you to be better.
DBC offers a unique and holistic approach to learning, focusing primarily on student needs not only as a developer, but also as a person. One of the most important points that Shereef discussed was the chef vs. kitchen table analogy. You can walk into the experience as a chef – ready to contribute, stand alongside your peers and mentors as an equal, and ready to cook up a new idea. Or, you can sit at the kitchen table, place your order, eat, and leave. Clearly the second option is much less interactive and engaging. If you simply sit at the table and place your order, you are missing out on such a vital part of the experience. It reminds me of this quote:
”The best way to waste your life is by taking notes. The easiest way to avoid living is to just watch.”
- Chuck Palahniuk, Lullaby
In addition to a positive learning environment, DBC encourages strong study habits (see Pomodoro Technique) and mandatory yoga classes. I’ve never before seen a learning institution with such progressive practices. Honestly, this is the kind of thing that just makes me even more excited.
The video has made me more aware of what is expected of me. It also showed what the mindset of the instructors will be in. I will admit, I do suffer from the imposter syndrome, (But it’s really me! I promise!) and I can foresee that happening when the in-person unit begins. However, knowing that we're all in the same boat and everyone else is probably feeling the same way does give me more confidence. I am so excited to be embarking on this journey and feel incredibly lucky to have the opportunity to do so!
If you have any questions or comments, please send me either an email or a tweet. Happy coding!
Posted by Morgan McCrory


SIRENS A film review by David Cowan Copyright 1994 David Cowan
SIRENS has been spoken of highly by critics as being a rare mix: a film that is just as intellectually appealing as it is titillating. Given the promise of the much ballyhooed nude appearance by Elle MacPherson, it would seem that if SIRENS could live up to that sort of praise, it would be one heckuva film. Amazingly enough, the film turns out to be considerably more intellectually appealing than titillating--the film does a good job of exploring the theme of whether censorship of obscene or blasphemous art is beneficial to the would-be viewer of that art. However, the film drags so much in the second and third acts as to make it overall only a bit better than the average coming-of-age or sexual awakening film.
Hugh Grant stars as Antony Campion, a young British priest who is sent by the Anglican Church to discuss the showing of a painting featuring Venus being crucified at a Sydney exhibition with the artist, Norman Lindsay (an underused Sam Neill). The church would like to see Lindsay's art displayed, but object to that particular painting, and it is Campion's task to convince Lindsay to substitute it with another, less blasphemous painting. Campion and his frigid wife, Estella, travel to Australia to meet with Lindsay. They arrive at his estate where they find he lives not only with his wife and two daughters, but three models. Two of the models embarrass the Campions with their brazen attitudes towards sex, nudity, the bourgeois, and eating cheese with one's hands. The third, Giddy, is a young innocent who won't pose with her clothes off.
Lindsay and Campion argue about the censorship of art--or rather, Campion does. Lindsay throughout the entire film shows only an air of bemusement to his guests, simply continuing with his work and not backing down to the church's requests. Campion tries his hardest to argue for the church with a "non-fundamentalist", contemporary point of view hoping to reach Lindsay, but he ultimately fails miserably. Campion believes that the displaying of such offensive work as Lindsay's would make a permanent impression in the mind of the viewer and corrupt them. Lindsay and his cronies believe that to be nonsense.
In the meantime, the Campions learn they must stay another week at the Lindsay's, the train they were to travel back on has derailed, and the track needed to be rebuilt. Estella, while they wait at the Lindsays, gets to know the models and, while originally repulsed by their attitudes and actions, slowly begins to warm to their views on life, love and sex--and ends up having a affair with the blind handyman.
The film never breaks from its investigation of the two different lifestyles and views on sex, nudity and blasphemy portrayed by the two families--often this theme takes on a ironic nature and is fascinating and ultimately thought-provoking. However, when the film gets into Estella's "awakening," and she goes from being frigid to being one of Lindsay's sirens, the film loses a lot of its drive. We've all seen the image of the frigid schoolmarm or librarian seduced into letting her hair down a hundred times, and SIRENS doesn't put a new spin on it. We follow this thread of the story for almost half of the film, and it gets tiring and predictable. The main driving force of the story is Antony Campion, and while Estella's sexual awakening is necessary to the plot, one leaves wishing there had been more plot or discussion and less of Estella's inane, unexiting fantasizing or sexual encounters.
The acting is uniformly good, especially the surprisingly good performance by Elle MacPherson. MacPherson's brazen model is so abrasive as to be stomach churning at times, and shows her character to be significantly more than a brainless body. Sam Neill's tired, bemused performance as Lindsay is well performed, though he is on the screen very little--it is like his character in UNTIL THE END OF THE WORLD ... his character is a guiding force of the film but appears very little. Hugh Grant as Anthony Campion is just right as the contemporary young priest, getting enthused and perturbed over all the right things, all the while displaying a peculiar innocence. Only Tara Fitzgerald's unexciting Estella and the mindlessly bad acting of whoever the blind handyman was (reducing the performance to that of one of those robo-hunks in soft-core porn) were standouts in an otherwise good cast.
Ultimately, I wish the plot would have gotten more into characters that are presented as being interesting--Lindsay and the models are fascinating sketches of characters, but we fail to get into them because the film spends too much time with Estella. However the symbolism presented in the film, the subtle ironies of the plot, and the theme of the film kept me thinking about it long after I had left the theatre, so it certainly wasn't a waste. I just wish that the parts meant to be seductive and sensual were as well done as the parts which were mentally stimulating.
5 out of 10. SIRENS had a chance of being an excellent film, but squanders that chance in foreign art-film coming-of-age pretension.
.
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


The idea here is to style a page so that it looks nice and is readable on devices of all sizes. Using flexible units of measurement in CSS (such as rem and percent), as well as max-width, makes this possible. Keep in mind the optimal line length for readability of the text. Depending on the font, a width of 700px yields a line length of about 80-90 characters with browser default settings. Although that is more than optimal, a line-height of 1.5rem (or 150%) makes it reasonable.
No media query is required here, because the CSS adapts to any screen size.
Ravana carries Sita away to Lanka, where Sita is kept under the heavy guard of rakshasis. Ravana demands Sita marry him, but Sita, eternally devoted to Rama, refuses. Rama and Lakshmana learn about Sita's abduction, and immediately set out to save her. During their search, they meet the demon Kabandha and the ascetic Shabari, who direct them towards Sugriva, the monkey king, and Hanuman.*
Having received Hanuman's report on Sita, held prisoner in Lanka, Rama and Lakshmana proceed with their allies towards the shore of the southern sea. There they are joined by Ravana's renegade brother Vibhishana. The monkeys construct a giant floating bridge across the ocean, and the princes and their army cross over to Lanka. A lengthy battle ensues, in which Rama eventually kills Ravana.*
Below is a screenshot of the page as it would appear on an iPhone 6, rendered by Chrome Dev Tools.
index | GitHub
* Text adapted from Wikipedia entry Ramayana.


{% extends "layout.html" %} {% block body %}
Before you start, I want to give you a few more explanations to save you time later.
| First, after reading the question at the top like this | |
| you can either skip it or answer it. | |
| To do so, use the tools on the top left to draw circles or polygons on the city map. | {# #} |
| Then you can choose as many locations as you want. | |
|
Finally, you have three options:
| |
| Sometimes, you may be thinking of a place without remembering its address. Thus you can look up its name on the top right box and click it to center the map on it (you still have to draw a shape though, as surroundings are more informative than single locations). |
Now you are ready to start


Help Topics:
Game Rules
EmoMemory is a classic memory game, also called Concentration. You have a board full of shuffled paired cards to be discovered.
- All the cards are shown to you, this is the memorization time.
- All the cards are turned over.
- You reveal two cards
- If they match, they keep revealed and you won them.
- If they don't match, they're turned over again.
- You keep turning cards until all the pairs are matched.
How To Play
- Press the New or Retry buttons to start a game.
- Memorization time!
All the cards are shown. Keep concentrated and try to memorize the cards positions as much as you can. But don't take too long, the clock is already ticking!
- Click any card to start.
All the cards, except the one you clicked, will be turned over.
- Find its pair.
Try to remember where the card's pair was located and click there.
If both cards you flipped are pairs, you've got a match! They will be left face up until the end of the game. When you flip two unrelated cards, they are just turned over again.
- Keep clicking and matching!
Keep flipping cards until all pairs are revealed. Then the game ends and your score is shown. If you make a real good time, you will appear on the Hi-Scores listing!
Buttons
|
New |
⌘N |
Load a new set of pictures or change the difficulty level. |
|
Retry |
⌘R |
Restart the game. |
|
Zoom |
⌘Z |
Force the pictures to fill all the card's area, if needed. |
|
Sound |
⌘S |
Turn sounds ON or OFF. |
|
Hi-Scores |
⌘1 |
Show or hide the scores drawer. |
Trophys & Stars
If you finish the game in a short time, you enter on the Hi-Scores and win trophies!
|
1st place |
|
2nd place |
|
3rd place |
If you finish the game in an INSANELY short time, you win trophies and stars!
|
Master of the 1st place |
|
Master of the 2nd place |
|
Master of the 3rd place |
If you master the first places of all the levels (Kid, Human, Nerd), you win a new icon for the Hi-Scores on your toolbar! Then you can show all your friends how fast your brain is. Mastering second and third places increase the number of stars on the icon. Even cooler!
|
Jedi Ninja of the 1st places |
|
Jedi Ninja of the 1st and 2nd places |
|
Jedi Ninja of the 1st, 2nd and 3rd places (Wow) |
Can you get all those stars?
Join us!
Try your best to beat all the default Hi-Scores.
Then press the Submit button to send your scores to the World Ranking.
Can you reach the top of the world?
Address Book notes
- Why Address Book is opened when the game is launched?
-
It's needed to access all the pictures of your Address Book contacts.
- Why I can't choose some Address Book groups for a New game?
-
These groups have very few contacts with pictures and is not suitable to compose a game. Either set pictures for more contacts on that group or choose an easier level, like Kid.
- How can I easily set pictures for my Address Book contacts?
-
If you're an Adium user, download AdiumBook, a free application to copy your friend's IM pictures to Address Book.
- I don't use Address Book at all. Can I disable it?
-
Open Terminal.app and type:
defaults write net.aurelio.EmoMemory useAB -bool false
To enable it again later, type:
defaults write net.aurelio.EmoMemory useAB -bool true
Restart EmoMemory after making these changes.
Contact
EmoMemory author is Aurélio Jargas. You can reach him at<EMAIL_ADDRESS>The game's website is http://aurelio.net/soft/emomemory.
Enjoy!


Ocean [aw79], ocean, in The Outer Sea
Last updated Turn #108
Ocean [aw79], ocean, in The Outer Sea
------------------------------------------------------------------------
1: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
1: 1% damaged, arrived from Ocean [av79], owner:
1: Phantasm [n4b], Imperial Empire, duke, with two workers,
1: eight sailors
6: Phantasm [n4b] caught 16 fish.
7: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
7: 1% damaged, departed for Ocean [aw80].
Routes leaving Ocean:
North, to Ocean [av79], 6 days
East, to Ocean [aw80], 6 days
South, to Ocean [ax79], Crystal Sea, 6 days
West, to Ocean [aw78], 6 days


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pivotal-software
Businessmodel of Pivotal Software
Customer Segments
Pivotal Software provides a range of products and services to commercial and institutional clients across multiple sectors. These customers principally operate across the following sectors:
- Financial Services, including mortgage and brokerage firms, asset management firms, banking institutions, insurers, and real estate companies;
- Healthcare, hospitals and healthcare providers, healthcare product and device manufacturers, medical equipment companies, and surgery centres;
- Pharmaceutical, pharmaceutical companies, medical technology companies, and biopharma companies;
- Government, including federal and state government bodies, government ministries, and intelligence agencies;
- Telecommunications and Media, including communications companies, distribution companies, cable and satellite companies, and service providers;
- Automotive, including vehicle manufacturers, auto dealers, transportation and fleet management companies; and
- Manufacturing, airlines and logistics companies, building materials businesses, electronics and robotics companies, and equipment producers. Pivotal Software includes a number of high-profile names among its customers, including Comcast, CenturyLink, Garmin, the IRS, Mercedes-Benz, BMW, General Electric, and Lockheed Martin.
Pivotal Software serves customers across a range of geographic regions, including the Americas, Asia Pacific, and Europe.
Value Propositions
Pivotal Software provides value to its customers in the following ways:
- Its industry standing and reputation, with the Company established as a reliable provider of software and technical support services, serving a range of high-profile customers across multiple business sectors;
- Its international reach, with the Company providing services to an extensive international network of clients, spanning the Americas, Europe, and Asia Pacific, and operating offices across the US, the UK, Germany, and Ireland;
- Its proprietary technologies and innovative products, with the Company providing a broad portfolio of products, utilising innovative proprietary technology to provide effective solutions; and
- Its technical expertise and specialist personnel, with the Company employing highly-trained technical staff, led by a team of experienced industry executives. ### Channels
Pivotal Software operates a website at www.pivotal.io, through which its provides information on its products, services, and target markets. The Company also operates a cloud-hosted online platform, accessible through its homepage, that enables customers to access the Company’s full suite of software offerings, resources, and information. Customers are able to register an account with the Company directly through its website.
Pivotal Software operates an in-house direct sales force, which is organised by geographic region. These sales personnel operate out of the Company’s core network of 19 offices across North America, Europe, and Asia Pacific – including locations in Singapore, New York, London, Dublin, Sydney, and Toronto – as well through a network of satellite offices. The Company’s sales teams can be contacted over the phone, via email, and through an online contact form.
Additionally, Pivotal Software makes sales through a number of third-parties, including value-added resellers, and independent software vendors.
Customer Relationships
Pivotal Software makes its sales primarily through its in-house sales teams, which consult directly with customers in order to provide a service tailored to their individual needs. This process enables the Company to identify the most appropriate solutions for its customers.
Once sales have been completed, the Company provides its services and products to customers on a self-service basis, with customers able to access the Company’s full range of products, services, information, and resources through the Pivotal Software website, without interacting with members of the Company’s sales personnel.
Pivotal Software provides a range of support resources to its customers through its website, including technical documentation, installation and upgrade guides, tools and tips, and best practice papers. The Company also provides personalised support services to its customer through its telephone support staff.
Additionally, customers are able to interact directly with Pivotal Software through its various social media accounts, including with Twitter, Google+, LinkedIn, Facebook, YouTube, and Medium.
Key Activities
Pivotal Software is a software company, engaged primarily in the provision of software solutions that enable the creation of software applications using big data. The Company’s software platform is available as a cloud-based service through the Company’s online channel.
The Company’s core products are its Pivotal CF offering, a platform-as-a-service solution designed to assist development teams in updating and scaling applications on a private cloud; and Pivotal One, a multi-cloud enterprise platform-as-as-service solution. Pivotal Software also provides a range of ancillary services, including corporate communication, network security, and telecommunications solutions, as well as analytics, data tool solutions, and training.
Pivotal Software serves a range of commercial and institutional customers across the financial services, healthcare, media, public sector, technology, and other industries.
Key Partners
Pivotal Software works in conjunction with a number of companies and organisations in the development, integration and distribution of its products. These partners include:
- Channel and Distribution Partners, principally comprising value-added resellers that help to extend the Company’s own sales and marketing reach;
- Integration and Consulting Partners, comprising systems integrators and global systems integrators, which assist in providing, and implementing the Company’s with innovative solutions and services across the existing systems of its customers;
- Technology Partners, comprising a range of technology and software development companies that assist in developing joint solutions alongside the Company and in testing and integrating the Company’s solutions; and
- Strategic and Alliance Partners, comprising a range of companies and organisations, with which the Company shares resources and collaborates on joint projects and investments. Pivotal Software’s integration and consulting partners include Accenture, Cognizant, Capgemini, and Dell Services; its technology partners include Hortonworks, SAS, Ubuntu, IBM, and SAP; and its strategic partners include Google, Microsoft, Amazon Web Services, and Cisco.
Key Resources
Pivotal Software’s key resources are its technologies and intellectual properties, its software and digital platforms, its IT and Communications infrastructure, its sales and marketing channels, its partners, and its personnel.
Pivotal Software owns a number of intellectual properties that are key to the success of its ongoing operations. Searches of records published by the US Patent and Trademark Office identified more than 30 patent applications filed in the name of Pivotal Software, including applications entitled ‘Filtering data frames using program instrumentation’, ‘Persistent file system objects for management of databases’, and ‘Finding command and control center computers by communication link tracking’.
Pivotal also owns and leases a number of physical properties, including its network of offices and satellite offices across North America, Asia Pacific, and Europe.
Cost Structure
Pivotal Software incurs costs in relation to the development of its software solutions and technologies, the development and maintenance of its online platforms, the maintenance of its IT and communications infrastructure, the operation of its sales and marketing channels, the management of its partnerships, and the retention of its personnel.
Revenue Streams
Pivotal Software generates revenue through the development and sale of various software solutions, targeted at commercial and institutional clients across multiple business sectors. The Company principally derive revenue through the collection of subscription fees in relation to its platform-as-as-service solution. Pivotal Software also generates a small portion of its revenue through the provision of various professional services, including consulting, training, and technical support services.
Pivotal Software is not a publicly-listed company, and as such does not publish it financial results on its website. The Company, however, recently announced that its first-quarter 2016 revenue had reached $83 million, up 56% on revenue recorded over the same period in 2015.


MUM TERRA
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{% extends "layout.html" %} {% set ptitle = "Create an account" %} {% block page_title %} {{ ptitle }} - Tax Tribunals Prototype {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Back {{ ptitle }} Warning You must create an account before we can save your details I already have an account Your email address Create your password Should be at least 8 characters {% endblock %}
Back
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Hello. Let me tell you about one drug that took a city by storm. A while ago this substance popped up. No one knew what it was, it was never offered as LSD, but simply Dr.Eye. Now, it went from being completely unheard of to one of the most popular party substances, and myself, the casual observer, should note some effects on dosage, as Iíve witnessed massive overdoses that turned out fine and normal doses that went whack.
All of these are with 99.9% Lab Grade DOI
Firstly
Weight 132lbs, Male, Martial Artist
8.4mg. Time to effect was 4 hours administered in solution. Reported excellent time yada yada. Light, upbeat body load, high visual and traces of audio hallucinations were found. Trip length 30 hours. Clear Headed trip.
Negative effect on body: Stomach pain, gas.
Secondly
Weight 150lbs, Male, Professional.
Consumed 14 DOI sugar cubes (weight 12mg). Reported a very speedy feeling, looked jittery. Time to effect 3 hours. Visual distortion, audio distortion and visual hallucinations. Trip length almost 40 hours. Clear Headed trip.
Negative effect: Stomach discomfort, Vomiting, Gas.
Thirdly
Weight 114lbs, Male, Deadbeat
Consumed 3.4mg in liquid. Time to effect 4 hours. Intense visual, audio and mental distortions. Pleasant body load. Became confused, but never irritable. Trip length >48 hours.
Negative effect: Cannot remember parts of time. Was very pale the following days.
Fourthly
Weight 123lbs, Female, Stripper.
Consumed 2.4mg in liquid. Time to effect 6 hours. Very pleasant, went into deep introspective thought and commented minor visual disturbance and no audio. She was able to correct and come to terms with several parts of her life. Trip Length 30 Hours.
Negative effect: Reported none.
Fifthly
Weight 162lbs, Male, Martial Artist
Consumed ~8mg insufflated. Time to effect 2 hours (slightly faster) Very weird sensation in nostrils, not a burning or anything, but plastic sensation. Intense visual [Geometric figures], no audio, increased heart rate. No vomiting, no stomach problems.
Consumed 5mg Smoked [Vaporizer, DOI HCl]. This was just a test to see if it would work and I do not believe anyone has reported on this method before. It was added to the vaporizer, it produced a grey, chemical cleaner tasting smoke. Possibly did damage to throat as during the exhale it began to hurt a severe amount. No speedy effect but rather a slight stoned feeling with the visual disturbances of maybe .5mg of it during the peak. I do not believe this substance is meant to be smoked.
Sixthly (The strange one)
Weight 134lbs, Male, Telemarketer
Consumed 6mg that was stored identical to all material mentioned previously.
No Effect. No pupil dilation, no nothing. It was tested and confirmed that it had not degraded or been damaged and he had ingested.
A possible explanation would be that this gentleman is a frequent 2c-i smoker and no longer receives effects from even up to 30mg of that substance as well.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Quickly and efficiently
In 3 moves, order your favorite meal and enjoy!
Freshly made food
This site contains a list of the best restaurants in your area! Guaranteed service!
We're here in 20 minutes
Order and in the shortest possible time we are at your address! Delivery is completely free! The food is warm!
Restaurant of the month! Gold medal for restaurant Wendy
This month the title of the best restaurant was taken by Wendy Restaurant. Rated by the highest grade for quality of food, cooking skills, originality of food, affordable price and consistency of visitors
The second place for the restaurant Kuya's!
Known for its top specialties and gold medalist of the month of April, Kuya's restaurant continues to delight our customers! Did not you taste the LasGornjes specialty that was rated as the best specialty of the year? What are you waiting for?
Bronze for Gabriel! The new chef brought a medal!
First, but not the last (we hope), a medal for the Gabriel restaurant! The new chef came directly from Mexico and refreshed a menu with three new dishes that slowly but surely climbs to the top of the pyramid! We expect an increase of this gentleman!


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Unsplash API Practice
An Epicodus project to practice Unsplash API calls
API Calls
Call By Keyword
Display image!
Results


thanks to CSS Grid with Variables by @jacobberglund
Compatible with the following icon font libraries:
some text with a icon
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| No. | Invoice Subject | Client | VAT No. | Created | Status | Price | |
|---|---|---|---|---|---|---|---|
| 00450 | Design Works | Carlson Limited | 87956621 | 15 Dec 2016 | Due in 1 week | $973 | Manage Actions |
| 00451 | UX Wireframes | Adobe | 56789765 | 19 Dec 2016 | Pending invoice | $456 | Manage Actions |
| 00453 | New dashboard | Bluework | 98765456 | 25 Dec 2016 | Delayed | $1,428 | Manage Actions |
| 00453 | New dashboard | Bluework | 98765456 | 25 Dec 2016 | Delayed | $1,428 | No action |
| 00453 | New dashboard | Bluework | 98765456 | 25 Dec 2016 | Delayed | $1,428 | No action |
| No. | Invoice Subject | Client | VAT No. | Created | Status | Price | ||
|---|---|---|---|---|---|---|---|---|
| 00450 | Design Works Google | Carlson Limited Google | 87956621 | 15 Dec 2016 | Due in 1 week | $973 | Manage Actions | |
| 00451 | Carlson Limited Google | Adobe | 56789765 | 19 Dec 2016 | Pending invoice | $456 | Manage Actions | |
| 00453 | New dashboard | Bluework | 98765456 | 25 Dec 2016 | Delayed | $1,428 | Manage Actions | |
| 00453 | New dashboard | Bluework | 98765456 | 25 Dec 2016 | Delayed | $1,428 | No action | |
| 00453 | New dashboard | Bluework | 98765456 | 25 Dec 2016 | Delayed | $1,428 | No action |
3
3
3
3
3
3
3
3
999
999
999
999
999
999
999
3
3
Base/Buttons
Eric Meyer’s “Reset CSS” 2.0
Round buttons
Icon round buttons


Firefighters carry out emergency rescue of man trapped in car in Plymouth
The male was taken to hospital after the collision on Ferndale Road
by Katie TimmsFirefighters were called to carry out an "emergency rescue" after a collision left a man trapped in a car.
Devon and Somerset Fire and Rescue Service received a call from the police at around 1.45am today (Sunday, November 10) to reports that a "car had collided with a wall, trapping the driver" on Ferndale Road in the Weston Mill area of Plymouth.
When firefighters arrived on scene it was quickly established that a "snatch rescue" had to be carried out due to the "medical condition of the casualty". A snatch rescue is where "immediate extrication" needs to be carried out.
Crews from Camels Head and Crownhill were sent to the incident and the man was taken to Derriford Hospital.
A fire service spokesperson said: "Crews from Camels Head and Crownhill in Plymouth were mobilised following a request from the police to assist after a car had collided with a wall trapping the driver.
"Due to the medical condition of the casualty the crew had to carry out an immediate extrication shortly after arriving, alongside ambulance paramedics, whereby they were conveyed to hospital via land ambulance.
"Once extricated crews made the vehicle and scene safe, before leaving duty of care with the police."
Devon and Cornwall Police have been contacted about the collision and we are awaiting further information.
Do you have a story to share or for us to investigate?
Get in touch using<EMAIL_ADDRESS>call<PHONE_NUMBER>2 or tweet me @KatieTimms94.


This project uses {lib} {version}.
The factory execution sequence is logged out below.
Open the "network" panel in your browser's developer tools to see how the script-loading sequence differs.
You can get more info about this project on Github.


| [Top] | [Contents] | [Index] | [ ? ] |
This file describes GDB, the GNU symbolic debugger.
This is the Ninth Edition, for GDB Version 6.8.
Copyright (C) 1988-2006 Free Software Foundation, Inc.
This edition of the GDB manual is dedicated to the memory of Fred Fish. Fred was a long-standing contributor to GDB and to Free software in general. We will miss him.
Summary of GDB 1. A Sample GDB Session A sample GDB session
2. Getting In and Out of GDB Getting in and out of GDB 3. GDB Commands GDB commands 4. Running Programs Under GDB Running programs under GDB 5. Stopping and Continuing Stopping and continuing 6. Examining the Stack Examining the stack 7. Examining Source Files Examining source files 8. Examining Data Examining data 9. C Preprocessor Macros Preprocessor Macros 10. Tracepoints Debugging remote targets non-intrusively 11. Debugging Programs That Use Overlays Debugging programs that use overlays
12. Using GDB with Different Languages Using GDB with different languages
13. Examining the Symbol Table Examining the symbol table 14. Altering Execution Altering execution 15. GDB Files GDB files 16. Specifying a Debugging Target Specifying a debugging target 17. Debugging Remote Programs Debugging remote programs 18. Configuration-Specific Information Configuration-specific information 19. Controlling GDB 20. Canned Sequences of Commands Canned sequences of commands 21. Command Interpreters 22. GDB Text User Interface 23. Using GDB under GNU Emacs 24. The GDB/MI Interface GDB's Machine Interface. 25. GDB Annotations GDB's annotation interface.
26. Reporting Bugs in GDB Reporting bugs in GDB
GDB
27. Command Line Editing 28. Using History Interactively A. Formatting Documentation How to format and print GDB documentation B. Installing GDB C. Maintenance Commands D. GDB Remote Serial Protocol E. The GDB Agent Expression Mechanism F. Target Descriptions How targets can describe themselves to
G. GNU GENERAL PUBLIC LICENSE GNU General Public License says how you can copy and share GDB H. GNU Free Documentation License The license for this documentation Index
Please send FSF & GNU inquiries & questions to<EMAIL_ADDRESS>There are also other ways to contact the FSF.
These pages are maintained by the GDB developers.
Copyright Free Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111, USA.
Verbatim copying and distribution of this entire article is permitted in any medium, provided this notice is preserved.
This document was generated by GDB Administrator on March, 27 2008 using texi2html


Analytical, goal oriented leader with proven track record in management and enforcement Space Fleet Operations or Frontend Development. Wide range of hands-on experience, including:
- Large scale construction projects oversight
- Advanced forms of mind control
- Planetary scale demolitions operations
- Fugitive recovery services
Together we can rule the galaxy


Grand Master Bernhard:
You're back! Did you bring the Divine Stone of Wisdom?
Good job! You are as capable as the bride of Antharas told me.
Now I'll give you the Stone of Commune. The stone tablet that forms a union with it is north of the Varka Silenos stronghold.
 The bride left a note with me.
"What's it say?"


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ZIP: 1004 Title: Miner-Directed Dev Fund Owners: Andrew Miller (@amiller on zcash forums) Status: Obsolete Category: Consensus Process Created: 2019-06-19 License: public domain Discussions-To: <https://forum.zcashcommunity.com/t/dev-fund-proposal-miner-directed-dev-fund-was-20-to-any-combination-of-ecc-zfnd-parity-or-burn/33864>
The key words "MUST", "SHOULD", and "MAY" in this document are to be interpreted as described in RFC 2119. 1
For clarity, this ZIP defines these terms:
This proposal reserves a portion (20%) of the newly minted coins in each block for the development fund. A fixed set of developer entities would be eligible to receive these funds. The fund would be miner-directed in the sense that the miner of each block can determine how to allocate these funds to eligible developers.
Like most development fund proposals, this is motivated by the potential value to the Zcash community of using newly minted coins to hire developers to continue improving Zcash. 2
Unlike most other development fund proposals, this proposal is distinct in providing a fine-grained “opt-in” 3 feature, since miners have the choice to provide a small amount of development funding or none at all.
During the 2nd Halvening Period, a fixed portion (DF% = 20%) of the newly minted coins in each block are reserved for a Miner-Directed Dev Fund (MDDF). A hardcoded set of developer entities (e.g., Electric Coin Company, Zcash Foundation, Parity, or others), represented in the code by their t-address or z-address public keys, are eligible to receive funding from the MDDF. The fund is “miner-directed” in the sense that the miner in each block chooses how to allocate the MDDF coins among the developer entities, simply by creating outputs in the coinbase transaction. The DF% is a maximum — miners can also “opt out” by minting a lower number of coins for the MDDF, or none at all.
This proposal is explicitly limited in scope to the 2nd Halvening Period. After the end of this period, the entire block reward in each block is awarded to the miner. The upper bound on the rate of newly minted coins MUST remain the same as before this proposal (i.e., at most 25 ZEC minted per 10 minutes during the 2nd Halvening Period).
Implementations MAY define a default opt-in allocation (e.g., DF%/2 to the Electric Coin Company and DF%/2 to the Zcash Foundation).
Implementations SHOULD support changing the allocation (overriding any such default) through a configuration option.
The following examples illustrate how miners can build the outputs of the coinbase transactions to allocate the MDDF to eligible developers. Assume Dev1
, Dev2
are the hardcoded addresses of eligible developers, and Miner
is the address of the mining pool mining this block. Assume that the total newly minted coins are 3.125 ZEC per block during the 2nd Halvening Period (this takes into account the change to a 75-second block target spacing after the Blossom Network Upgrade 5), and that DF% = 20%, MR% = 80%.
Example 1: Split equally between two developers
The transaction outputs of the coinbase transaction are as follows:
Miner
Dev1
Dev2
.Example 2: Opt-out of the development fund
The transaction outputs of the coinbase transaction are as follows:
Miner
.Raised objections and issues so far:
| 1 | RFC 2119: Key words for use in RFCs to Indicate Requirement Levels |
|---|
| 2 | Notes on reaching agreement about a potential Zcash development fund. Andrew Miller, June 3, 2019. |
|---|
| 3 | Comment on a post “The future of Zcash in the year 2020” in the Zcash Community Forum. Josh Cincinnati, June 3, 2019. |
|---|
| 4 | Executive Summary: Blocktown Proposal for Zcash 2020 Network Upgrade. Blocktown Capital, August 15, 2019. |
|---|
| 5 | ZIP 208: Shorter Block Target Spacing |
|---|


Advanced Admin System to improve your games!
Starnamics
v1.6.3
12 seconds ago
Made with ❤ by Starnamics
Licensed under MIT License
Design inspired by npm


(#) Duplicate Platform Classes !!! ERROR: Duplicate Platform Classes This is an error, and is also enforced at build time when supported by the build system. For Android this means it will run during release builds. Id : `DuplicatePlatformClasses` Summary : Duplicate Platform Classes Severity : Fatal Category : Correctness Platform : Android Vendor : Android Open Source Project Feedback : https://issuetracker.google.com/issues/new?component=192708 Affects : Gradle build files Editing : This check runs on the fly in the IDE editor Implementation : [Source Code](https://cs.android.com/android-studio/platform/tools/base/+/mirror-goog-studio-main:lint/libs/lint-checks/src/main/java/com/android/tools/lint/checks/GradleDetector.kt) Tests : [Source Code](https://cs.android.com/android-studio/platform/tools/base/+/mirror-goog-studio-main:lint/libs/lint-tests/src/test/java/com/android/tools/lint/checks/GradleDetectorTest.kt) Copyright Year : 2014 There are a number of libraries that duplicate not just functionality of the Android platform but using the exact same class names as the ones provided in Android -- for example the apache http classes. This can lead to unexpected crashes. To solve this, you need to either find a newer version of the library which no longer has this problem, or to repackage the library (and all of its dependencies) using something like the `jarjar` tool, or finally, rewriting the code to use different APIs (for example, for http code, consider using `HttpUrlConnection` or a library like `okhttp`). !!! Tip This lint check has an associated quickfix available in the IDE. (##) Suppressing You can suppress false positives using one of the following mechanisms: * Using a suppression comment like this on the line above: ```kt //noinspection DuplicatePlatformClasses problematicStatement() ``` * Using a special `lint.xml` file in the source tree which turns off the check in that folder and any sub folder. A simple file might look like this: ```xml <?xml version="1.0" encoding="UTF-8"?> <lint> <issue id="DuplicatePlatformClasses" severity="ignore" /> </lint> ``` Instead of `ignore` you can also change the severity here, for example from `error` to `warning`. You can find additional documentation on how to filter issues by path, regular expression and so on [here](https://googlesamples.github.io/android-custom-lint-rules/usage/lintxml.md.html). * In Gradle projects, using the DSL syntax to configure lint. For example, you can use something like ```gradle lintOptions { disable 'DuplicatePlatformClasses' } ``` In Android projects this should be nested inside an `android { }` block. * For manual invocations of `lint`, using the `--ignore` flag: ``` $ lint --ignore DuplicatePlatformClasses ...` ``` * Last, but not least, using baselines, as discussed [here](https://googlesamples.github.io/android-custom-lint-rules/usage/baselines.md.html).


- AbstractStyle - Class in ch.rabanti.picoxlsx4j.style
-
Class represents an abstract style component
- AbstractStyle() - Constructor for class ch.rabanti.picoxlsx4j.style.AbstractStyle
-
- add(String, String) - Method in class ch.rabanti.picoxlsx4j.lowLevel.SortedMap
-
Method to add a key value pair
- addAllowedActionOnSheetProtection(Worksheet.SheetProtectionValue) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Method to add allowed actions if the worksheet is protected.
- addCell(Object, int, int) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds an object to the defined cell address.
- addCell(Object, int, int, Style) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds an object to the defined cell address.
- addCell(Object, String) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds an object to the defined cell address.
- addCell(Object, String, Style) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds an object to the defined cell address.
- addCellFormula(String, String) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a cell formula as string to the defined cell address
- addCellFormula(String, String, Style) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a cell formula as string to the defined cell address
- addCellFormula(String, int, int) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a cell formula as string to the defined cell address
- addCellFormula(String, int, int, Style) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a cell formula as string to the defined cell address
- addCellRange(List<Object>, Address, Address) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a list of object values to a defined cell range.
- addCellRange(List<Object>, Address, Address, Style) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a list of object values to a defined cell range.
- addCellRange(List<Object>, String) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a list of object values to a defined cell range.
- addCellRange(List<Object>, String, Style) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a list of object values to a defined cell range.
- addHiddenColumn(int) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Sets the defined column as hidden
- addHiddenColumn(String) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Sets the defined column as hidden
- addHiddenRow(int) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Sets the defined row as hidden
- addNextCell(Object) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds an object to the next cell position.
- addNextCell(Object, Style) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds an object to the next cell position.
- addNextCellFormula(String) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a formula as string to the next cell position
- addNextCellFormula(String, Style) - Method in class ch.rabanti.picoxlsx4j.Worksheet
-
Adds a formula as string to the next cell position
- addPart(String, String, Document) - Method in class ch.rabanti.picoxlsx4j.lowLevel.Packer
-
Adds a Part to the file
- addPart(String, String, Document, boolean) - Method in class ch.rabanti.picoxlsx4j.lowLevel.Packer
-
Adds a Part to the file
- addRelationshipEntry(String, String) - Method in class ch.rabanti.picoxlsx4j.lowLevel.Packer.Relationship
-
Adds a relationship entry to the relationship
- Address - Class in ch.rabanti.picoxlsx4j
-
C class representing a cell address (no getters and setters to simplify handling)
- Address(int, int) - Constructor for class ch.rabanti.picoxlsx4j.Address
-
Constructor with with row and column as arguments
- Address(String) - Constructor for class ch.rabanti.picoxlsx4j.Address
-
Constructor with address as string
- Address(int, int, Cell.AddressType) - Constructor for class ch.rabanti.picoxlsx4j.Address
-
Constructor with with row, column and address type as arguments
- Address(String, Cell.AddressType) - Constructor for class ch.rabanti.picoxlsx4j.Address
-
Constructor with address as string and address type.
- AddressMatchers - Class in ch.rabanti.picoxlsx4j.matchers
-
- AddressMatchers() - Constructor for class ch.rabanti.picoxlsx4j.matchers.AddressMatchers
-
- AddressTest - Class in ch.rabanti.picoxlsx4j
-
- AddressTest() - Constructor for class ch.rabanti.picoxlsx4j.AddressTest
-
- addStyle(Style) - Method in class ch.rabanti.picoxlsx4j.style.StyleManager
-
Adds a style component to the manager
- addStyle(Style) - Method in class ch.rabanti.picoxlsx4j.Workbook
-
Adds a style to the style manager
- addStyleComponent(Style, AbstractStyle) - Method in class ch.rabanti.picoxlsx4j.Workbook
-
Adds a style component to a style
- addWorksheet(String) - Method in class ch.rabanti.picoxlsx4j.Workbook
-
Adding a new Worksheet.
- addWorksheet(String, boolean) - Method in class ch.rabanti.picoxlsx4j.Workbook
-
Adding a new Worksheet with a sanitizing option.
- addWorksheet(Worksheet) - Method in class ch.rabanti.picoxlsx4j.Workbook
-
Adding a new Worksheet.
- append(AbstractStyle) - Method in class ch.rabanti.picoxlsx4j.style.Style
-
Appends the specified style parts to the current one.
- AppendAnnotation - Annotation Type in ch.rabanti.picoxlsx4j.style
-
Annotation designated to control the copying of style properties
- APPLICATIONNAME - Static variable in class ch.rabanti.picoxlsx4j.Version
-
Application name of the library
- Average(Range) - Static method in class ch.rabanti.picoxlsx4j.BasicFormulas
-
Returns a cell with a average formula
- Average(Worksheet, Range) - Static method in class ch.rabanti.picoxlsx4j.BasicFormulas
-
Returns a cell with a average formula


{% set active_page = "Conference Format" %} {% set page_title = "Conference Format" %} {% extends "base.html" %} {% block content %}
All of the Zoom meetings for the conference are password-protected to prevent abuse. Each registered participant will receive (by email) a password that will give access to the Zoom meetings.
Each session is divided into a plenary session and a poster session.
In the plenary session, each presenting author will give a short (1 minute) presentation of their work, followed by a short (2-3 minutes) question and answer period. The presentation order is prescribed in the individual session's page (see below).
After the plenary session (45-60 minutes total), the remaining time will be devoted to the poster session. Each author will have their own Zoom room dedicated to discussing their work, and participants can drop in to each room to ask questions.
(Note that the Open Problems session (OP) does not have an accompanying poster session.)
Please join us Sunday 6:00 PM Paris time for the COLT Business Meeting to learn about and discuss this year's and future years' conference organization.
Please join us between sessions for virtual coffee breaks (or happy hours?), by entering any of these Zoom rooms:
In this coffee break, please drop by our sponsor Baidu's virtual booth [Zoom link]
Do you need technical help with the conference? Please contact us (by email) and we'll get back to you as soon as possible.
Zoom Czars for issues related to Zoom:
Issues related to the website:


Our open-source projects
-
We made Handlebars.js easy accessible for .NET developers! 14000+ downloads. https://github.com/evereq/handlebars.js.nuget
— 10/29/2013 -
Syntax Highlighting in bootstrap-wysihtml5
Code #syntax #highlighting using Highlight.js was added into bootstrap-wysihtml5 editor! Very useful for any project based on Twitter Bootstrap, which require simple & powerful HTML WYSIWYG editor. See http://evereq.github.io/bootstrap-wysihtml5
— Ruslan Konviser (@evereq) 10/29/2013 -
Couchbase Asp.Net Session Provider Extended
#Couchbase Asp.Net infrastructure (Session State and Output Caching Providers) was extended with additional functionality such as Compression, Logging and more! https://github.com/evereq/couchbase-aspnet
— Ruslan Konviser (@evereq) 10/29/2013 -
#LABjs is easy accessible as #NuGet #package and is downloaded more than 2000 times! https://github.com/evereq/LABjs.nuget
— 10/29/2013
About Us
Evereq in young startup, currently busy building awesome and innovative Services & Products.
Please visit evereq.biz to learn more about us.
Don't forget to check our latest baby evereq.com, where it is easy to Discover, Share and Organize things you care and love, including of course coolest projects on Github, Codeplex and more!
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Contact Us
Having trouble with any of our projects? Want to suggest some improvements or new directions?
Just contact @evereq (see details in sidebar) and we’ll help you sort it out.


🏕 cowork.camp.club!!! 🏕
What's cowork.camp.club?
It's a...thing where campers team up on video chat (voice chat could work too, I think, and we have now also done it with text chat which is good for people with slow connections) and get stuff done. 'Stuff' can be whatever you want; as I'm writing this, four of us are co-working on (respectively) admin tasks, coding, writing, and fixing a broken modular synth.
If two or more of us are on friend camp at the same time and feel like co-working, we log on to Discord, open a group DM and start video chat. We spend a few minutes telling each other what we're going to work on, then one of us starts a timer (I normally do 25 or 30 minutes, but you decide - we've been using itsalmo.st lately for shared timers). When the time's up, we share what we did, we WARMLY CONGRATULATE each other (important!), and then repeat the process as many times as we like.
How do I use it?
Use the Discord link here to join: https://discord.gg/486CmUM
I (@emma, by the way, in case you were wondering!) picked Discord because you don't have to install anything but honestly I hate how overwhelming the UI is, so if you have any other suggestions, please pass them on to me, or Darius, or someone else.
- Before you get started, make sure your microphone and/or camera are set up in your user settings (bottom left, gear icon).
- You need to add anyone you want to work with as a friend before you can video or voice call them: right-click them in the sidebar of the general channel, and click Add Friend.
- To make a video call, go to your Friends page (Home button on top left > Friends) and click 'New Group DM' on the top right (the speech bubble with a + sign).
- Add whoever you want to call and click Create Group DM.
- Click the camera icon (or phone icon if you want voice only chat) on the top right.
- Do the thing!
Why?
I work from home, I'm not always very good at being a person, I get way more done when I'm accountable to other people, and Darius and I do this sometimes and enjoy it. I figured it would be nice to have a way for campers to do it together.
(If you're not a member of friend camp, but have somehow found this page, consider this me quietly exhorting you to make one of these with your pals rather than using ours - I'd love it if this stayed friend camp-only, sort of like a group chat.)


The following table provides links to all of the Javascript files used in the Max/MSP direct room impulse response rendering system along with a short description and in which section of the document they are referenced.
| File Name | Description | Section Referenced |
|---|---|---|
| gridLoading.js | Converts the user interface coordinates into an appropriate file name | Software:Max |
| ifFirst.js | Prevents the 3rd convolution patch from fading in when the first patch has faded in for the first time. | Software:Max |
| loadFiles.js | Concatenates the input file number with the appropriate file path to find the required RIR file when using iPad interface. | Software:Max |
| loadFilesLogic.js | Calculates a file number (1 - 240) based on the coordinates from the user interface | Software:Max |
| loadFilesTest1.js | Concatenates the input file number with the appropriate file path to find the required RIR file for user test #1. | Software:Max |
| storeCood.js | Stores the coordinates of the user input, used to draw the user posistion dot on the user interface | Software:Max |
| storeLocations.js | Stores the list of files names that still need to be loaded into the convolution patches. | Software:Max |
| switcher.js | Routes the input signal to revolving convolution patches. | Software:Max |
| timerLogic.js | Timer: Outputs a signal ever 2.5 seconds | Software:Max |
| wrapper.js | Keeps the input value between 0 - 360 | Software:Max |


Analysis¶
Cobra offers many methods inteded for model analysis
- FBA (Flux Balance Analysis)
- FVA (Flux Variability Analysis)
- Robustness Analysis
- Find Blocked Reactions
- Find Dead end Metabolites
- Find Exchange Reactions
- Find Reactions from Genes
- Find Reactions from Metabolites
- Gene Deletion
- Reaction Info
FBA (Flux Balance Analysis)¶
FBA(model; direction = "max", solver = "GLPK")
FBA calculates the flow of metabolites through a metabolic network, helping us predict the flow of metabolites, such as the growth of the organismn
The method is called as:
>>solution = FBA(model)
x::95
y::72
w::95
f::0.8739215069684305
status::Optimal
FBASolution type¶
As shown above, the FBA(model) method returns a FBASolution object, which has the fields:
>>fieldnames(FBASolution)
5-element Array{Symbol,1}:
:x
:y
:w
:f
:status
Which can be called like regular objects:
>>solution.f
0.8739215069684305
Where:
x
is the primal solutiony
is the slackw
is the reduced costf
is the objective valuestatus
is the status of the solution
Optional arguements¶
The method can be called having only the model as its parameter, but the method also accepts:
- direction: “max” or “min” depending whether to maximize or minimize the objective. max is default
- solver: Currently “GLPK”, “CPLEX” and “Gurobi” are accepted. “GLPK” is the default solver
The method can be equivaneltly called as:
solution = FBA(model)
solution = FBA(model, "max", "GLPK")
FVA (Flux Variability Analysis)¶
FVA(model; optPercentage = 100, solver = "GLPK",tol = 1e-6)
FVA finds the minimum and maximum flux of every reaction in the model
The method returns an array for all minimum fluxes, maximum fluxes, and a matrix representing the system’s flux both for the minimum and maximum calculations.:
minFlux, maxFlux, min, max = FVA(model)
Optional arguements¶
The method can be called having only the model as its parameter, but the method also accepts:
- optPercentage. This parameter fixes the default objective growth to a minimum number between 0-100
- solver: Currently “GLPK”, “CPLEX” and “Gurobi” are accepted. “GLPK” is the default solver
The method can be equivaneltly called as:
minFlux, maxFlux, min, max = FBA(model)
minFlux, maxFlux, min, max = FVA(model, 100, "GLPK")
Robustness Analysis¶
robustness_analysis(model, reaction; objective = 0, numpoints = 20, direction = "max", draw = true)
robustness_analysis(model, reaction_index; objective = 0, numpoints = 20, direction = "max", draw = true)
Robustness analysis is used to see how one reaction, the objective reaction is dependant on another reaction’s flow, a control reaction (reaction_index)
The method finds the minimum and maximum fluxes of the control reaction, sets the models objective model.r.c
to the supplied objective index
Then it fixes the control reaction to evenly spaced values, the number of which are decided by num_points (default 20 points) and performs a flux balance analysis for the objective reaction for every fixed value of the control reaction
There are two types of robustness analysis, robustness-analysis and double robustness-analysis
robustness_analysis¶
Call the method by typing:
flux_values = robustness_analysis(model, reaction)
This returns a vector with the FBA objective results for every step of the robustness analysis, and plots the vector to a 2-D graph
Optional arguements¶
- objective. This parameter allows you to temporarily set the objective. The default value usually being biomass growth. This parameter can be either a string or the integer index of the desired objective
- numpoints. This parameter sets the number of points to plot, i.e the resolution of the graph. Default is 20
- direction. Default is to maximize the objective. Accepts “min” or “max”
- draw. Boolean. Default is true, which plots the resulting flux vector
The method can be equicanetly called as:
flux_values = robustness_analysis(model, reaction)
flux_values = robustness_analysis(model, reaction, "", 20, "max", true)
double_robustness_analysis¶
Similar to robustness_analysis, but instead of one reaction there are now two reactions, and a 3-D plot is drawn:
flux_values = robustness_analysis(model, reaction_A, reaction_B)
Find Blocked Reactions¶
find_blocked_reactions(model; tolerance = 1e-10)
A simple method to identify the reactions whos minimum and maximum flow is 0.0
Call the method by typing:
blocked_reactions = find_blocked_reactions(model)
8-element Array{Any,1}:
"EX_fru_e"
"EX_fum_e"
"EX_gln__L_e"
"EX_mal__L_e"
"FRUpts2"
"FUMt2_2"
"GLNabc"
"MALt2_2"
Which returns the names of the blocked reactions
Optional arguements¶
The method may be called with a tolerance arguement, the default being 1e-10
The method can be equicanetly called as:
blocked_reactions = find_blocked_reactions(model, 1e-10)
blocked_reactions = find_blocked_reactions(model, tolerance = 1e-10)
Find Dead end Metabolites¶
find_deadend_metabolites(model::Model, lbfilter::Bool = true)
A method to find those metabolites that are only produced or only consumed.
By default, those metabolites with a positive lower bound are filtered out of the results
Call the method by typing:
find_deadend_metabolites(model)
5-element Array{Int64,1}:
30
32
37
49
60
Optional arguements¶
The lbfilter may be set as either true or false
Find Exchange Reactions¶
find_exchange_reactions(model, output = "index")
A simple tool to find the exchange reactions in the model.
Call the method by typing:
find_exchange_reactions(model)
20-element Array{AbstractString,1}:
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
Optional arguements¶
By default the method returns the indices of the exchange reactions, to get the reaction names, call:
find_exchange_reactions(model, output = "name")
find_exchange_reactions(model, "name")
Find Reactions from Genes¶
find_reactions_from_gene(model, gene, output = "index")
find_reactions_from_gene(model, gene_index; output = "index")
This method finds, given a gene name or the index of a gene, all the reactions that gene has an effect on
Call the method by typing:
find_reactions_from_gene(model,"b1241")
2-element Array{Int64,1}:
1
10
or equivalently (gene b1241 is number 2 in model.genes
):
find_reactions_from_gene(model,2)
2-element Array{Int64,1}:
1
10
Optional arguements¶
- output can be set to index/name/formula to print out the reaction names/formulas
The method can be caled equivalently as:
find_reactions_from_gene(model,"b1241", output = "index")
find_reactions_from_gene(model,"b1241", "index")
Find Reactions from Metabolites¶
find_reactions_from_metabolite(model::Model, metabolite::Int64; output::AbstractString = "index")
find_reactions_from_metabolite(model::Model, metabolite::AbstractString; output::AbstractString = "index")
This method finds, fiven a metabolite name or the index of a metabolite, all the reactions that metabolite appears in
Call the method by typing:
find_reactions_from_metabolite(model,"nh4_c")
4-element Array{Int64,1}:
51
53
54
69
or equivalently (nh4_c being number 54 in model.mets
):
find_reactions_from_metabolite(model,54)
4-element Array{AbstractString,1}:
51
53
54
69
Optional arguements¶
- output can be set to index/name/formula to print out the reaction names/formulas
The method can be caled equivalently as:
find_reactions_from_metabolite(model,"nh4_c", output = "index")
find_reactions_from_metabolite(model,"nh4_c", "index")
Gene Deletion¶
gene_deletion(model::Model, n::Number; solver::AbstractString = "glpk")
parallel_dene_deletion(model::Model,n:Number; cores::Number = CPU_CORES, solver::AbstractString = "glpk")
Find the result of deleting any combination of genes from 1 -> n
gene_deletion¶
- Call the method by typing::
- result = gene_deletion(model,1,”glpk”)
- pairs::Dictionary of deleted genes wild_type FBA
This returns a GeneDeletion
object
The gene_deletion
method returns a GeneDeletion
object with fields:
fieldnames(GeneDeletion)
2-element Array{Symbol,1}:
:pairs
:wild_type
Where pairs
is a dictionary, with keys for every combination of genes from 1 -> n
So calling:
res.pairs[["b2975","b0723"]]
0.9318
Returns the growth as a ratio of the wild_type
, so knocking out “b2975” and “b0723” would
result in the organism’s growth reduced to 93% of its original growth
The field wild_type
is the results of claling FBA(model)
, simply for reference
Note: This method is best suited for small models/small values of n, (n < 2), but can be used for any model, and any value of n, if you are prepared to wait
parallel_gene_deletion¶
This method is intended for: * large models * high order of n (n > 2)
Reaction Info¶
reaction_info(model::Model, reaction)
reaction_info(model::Model, reaction_index)
A simple method to print out all the information for a reaction
Call the method by typing:
reaction_info(model,11)
Reaction Name: ATP maintenance requirement
Reaction ID: ATPM
Lower Bound: 8.39
Upper Bound: 1000.0
Subsystem: Oxidative Phosphorylation
-----------------------------------------------
Metabolite Coefficient
adp_c 1.0
atp_c -1.0
h2o_c -1.0
h_c 1.0
pi_c 1.0
-----------------------------------------------------------------------
b0118 || b1276
or equivalently ( ATPM being number 11 in model.rxns
):
reaction_info(model,"ATPM")
Reaction Name: ATP maintenance requirement
Reaction ID: ATPM
Lower Bound: 8.39
Upper Bound: 1000.0
Subsystem: Oxidative Phosphorylation
-----------------------------------------------
Metabolite Coefficient
adp_c 1.0
atp_c -1.0
h2o_c -1.0
h_c 1.0
pi_c 1.0
-----------------------------------------------------------------------
b0118 || b1276


Generate signature
In this tab the complete PKCS#1 signature is generated.
It has the following structure: '00' '01' PS '00' HI HD.
In detail, this means:
-
'00'
Leading zero block (8 bit). This guarantees that the numerical value of the signature is less than the RSA modulus.
-
'01'
This block indicates whether we have an operation with a public or a private key.
As we use the private key for signature generation, it is set to '01'
-
PS
Padding string. The padding string consists of a number of blocks with the value 'FF'.
It's length is the length of the RSA modulus minus
the length of the data block and the three blocks '00', '01', '00'.
-
'00'
Zero block. This block marks the end of the padding string and the start of the data block.
-
HI
Hash identifier. This is the first part of the data block.
It includes informations such as the used hash function in ASN.1 encoded form.
-
HD
Hash digest. The second part of the data block includes the generated hash value.


Perl 5 is a highly capable, feature-rich programming language with over 29 years of development.
Perl 6 is a sister language, part of the Perl family, not intended as a replacement for Perl 5, but as its own thing - libraries exist to allow you to call Perl 5 code from Perl 6 programs and vice versa.
The Perl Foundation is dedicated to the advancement of the Perl programming language through open discussion, collaboration, design, and code.


| Upcoming Workshops | |
|
Berhampur, Odisha |
September 1, 2018 to September 3, 2018 Venue and Contact Person details |
|
Nagpur, Maharashtra |
Septemebr 8, 2018 to September 10, 2018 Venue and Contact Person details |
|
Rajapalyam, Tamilnadu |
September 14, 2018 to September 16, 2018 Venue and Contact Person details |
|
Jammu |
September 29, 2018 to October 01, 2018 Venue and Contact Person details |
|
Goa |
October 06, 2018 to October 08, 2018 Venue and Contact Person details |
| Workshops Completed | |
|
Rajkot, Gujarat |
June 1, 2018 to June 3, 2018 ( Feedback of the Workshop) ( Toppers of the Assessment ) |
|
Greater Noida, NCR, UP |
June 5, 2018 to June 7, 2018 ( Feedback of the Workshop) ( Toppers of the Assessment ) |
|
Guwahati, Assam |
June 9, 2018 to June 11, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Pune, Maharashtra |
June 13, 2018 to June 15, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Warangal, Telangana |
June 17, 2018 to June 19, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Chittoor District, Andhra Pradesh |
June 21, 2018 to June 23, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Kottayam, Kerala |
June 25, 2018 to June 27, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Bhimavaram, Andhra Pradesh |
June 28, 2018 to June 30, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Changa, Gujarat |
July 07, 2018 to July 09, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Hyderabad, Telangana |
July 14, 2018 to July 16, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Galgotias University, U.P. |
July 17, 2018 to July 19, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Mumbai, Maharashtra |
July 21, 2018 to July 23, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Erode, Tamilnadu |
July 28, 2018 to July 30, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Hubballi, Karnataka |
August 11, 2018 to August 13, 2018 ( Feedback of the Workshop ) ( Toppers of the Assessment ) |
|
Durg, Chhattisgarh |
August 18, 2018 to August 20, 2018 ( Feedback of the Workshop)( Toppers of the Assessment ) |
| Day 1 | |
|
8.00-9.00 |
Registration |
|
Session 1 |
Motivation Foundations and Terminology of Deep Learning |
|
Session 2 |
Machine Learning Basics Linear Regression, Logistic Regression Gradient Descent |
| Session 3 2.15-4.00 |
Designing & Optimizing Neural Network Model Building Deep Models and Hyperparameter Tuning |
| Session 4 4.30-6.30 |
Deep Learning Hacks System/project level tricks and regularization strategies |
| Day 2 |
|
| Session 1 9.00-11.00 |
Convolutional Neural Network Computer Vision with CNNs |
| Session 2 11.30-1.30 |
Recurrent Neural Network Sequence Modelling with RNNs, generative modelling in Deep Learning |
| Session 3 2.15-4.00 |
Advanced Learning Topics Hands-On Labs |
| Session 4 4.30-6.30 |
Assessment |
| Day 3 - NVIDIA Deep Learning Institute Hands on Labs The NVIDIA Deep Learning Institute offers hands on training for developers, data scientists and researchers, looking to solve challanging problems with deep learning |
|
| 09:00 - 11.00 | Image Classification with DIGITS (lab) |
| 11:00 - 1:00 | Object Detection with DIGITS (lab) |
| 2:00 - 4.00 | Azure Notebook on CNN Transfer Learning and Auto Encoders (lab) |


ATP Data Visualisations (1995 - 2016)
Home
Story behind the data, and usage
Update the Bar Chart by selecting your statistic of interest
Match Winning Rate (%)
Average Number of Aces per Match
Average Number of Double Faults per Match
Change the Number of Nationalities in the Pie Chart
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6


Simple Login with User and Password Fields on Different Pages
Login
Username:
Password:
Login
Test credentials:
username =<EMAIL_ADDRESS>password = password123


open val consumes: MutableMap<Tradeable, Int>
Overrides HasConcreteContacts.consumes
A list of Tradeable (with quantities) that this building consumes


Appollo Commander
New User Profile
1
2
3
4
1. Your Name:
Ok
2. Birthday:
1990
1991
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1995
1996
1997
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2000
2001
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January
February
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April
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September
October
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Back
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3. Gender:
Male
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Back
Ok
4. Path:
Engineer
Astronaut
Back
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Great,
!
You're set to take off in
10 : 55
But first we need to see if you're ready!
Ok


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| Packages | |
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| org.hibernate.validator | Bootstrap classes HibernateValidator and HibernateValidatorConfiguration which uniquely identify Hibernate Validator and allow to configure it. |
| org.hibernate.validator.cfg | Entry point for the programmatic constraint definition API. |
| org.hibernate.validator.cfg.context | Contains facet and creational context interfaces forming the API for programmatic constraint definition. |
| org.hibernate.validator.cfg.context.impl | Creational context implementations of the API for programmatic constraint definition. |
| org.hibernate.validator.cfg.defs | Constraint definition classes for programmatic constraint definition API. |
| org.hibernate.validator.constraints | Hibernate Validator specific constraints. |
| org.hibernate.validator.constraints.impl | Implementations of the Bean Validation built-in as well as Hibernate Validator specific constraints. |
| org.hibernate.validator.engine | Implementations for the core interfaces of JSR-303. |
| org.hibernate.validator.engine.groups | Helper classes for the processing of groups. |
| org.hibernate.validator.engine.resolver | Various implementations of the TraversableResolver interface. |
| org.hibernate.validator.group | This package provides support for dynamic default group sequence definition. |
| org.hibernate.validator.messageinterpolation | Implementations of the MessageInterpolator interface in particular ResourceBundleMessageInterpolator which can be used by custom implementations of the interface for delegation. |
| org.hibernate.validator.metadata | Implementations of the Bean Validation metadata interfaces as well as Hibernate Validator specific meta data classes. |
| org.hibernate.validator.metadata.location | Contains types for the representation of constraint locations. |
| org.hibernate.validator.method | This package provides support for method-level constraints based on JSR 303: Bean Validation, Appendix C ("Proposal for method-level validation"). |
| org.hibernate.validator.method.metadata | This package provides a meta model related to method-level
constraints and as such is an addition to the package javax.validation.metadata
provided by the Bean Validation API. |
| org.hibernate.validator.resourceloading | ResourceBundleLocator interface and its various implementations. |
| org.hibernate.validator.util | Independent helper classes. |
| org.hibernate.validator.util.annotationfactory | Annotation proxy helper. |
| org.hibernate.validator.util.privilegedactions | Implementations of PrivilegedAction in order to execute reflection operations in a security manager. |
| org.hibernate.validator.util.scriptengine | Classes related to the evaluation of script with ScriptEngine (JSR-223). |
| org.hibernate.validator.xml | Classes used to parse Bean Validation XML configuration files. |
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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/norm_num.20and.20nat.2Efact.html ---
norm_num
doesn't seem to know what to do with nat.succ
:
example : nat.fact 5 = 120 := begin norm_num, -- ⊢ nat.succ 4 * (nat.succ 3 * (nat.succ 2 * nat.succ 1)) = 120 end
But when I try a simpler example like nat.succ 5 = 6
, it does work for some reason
You clearly need to use more powerful automation like rfl
Ah, I'm not the only one doing IMO 2019-4 :)
I used norm_num [finset.range_succ, nat.pow_succ, nat.mul_succ]
for the easy direction.
I'm stuck on prime (2 : ℤ)
(the definition of prime
for rings :) )
Didn't Chris prove that primes in nat are primes in int?
Is it in mathlib? I cannot find it.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


For week 6 at DBC, we spent a considerable amount of time thinking and learning about classes. Classes, in ruby, can be thought up as a way to format an object. Being an object oriented language, we come up with objects in Ruby all the time. Creating classes allows us to save time whenever we need to come up with objects of similiar nature.
A common but good example are animals. Say you want to create a way to keep track of identify different animals. With Classes, you can create a Class call animal with can take in variables like number of legs, mammal, lifecycle, so on and so forth. We can also create methods as a way to futher identify an animal.
This is just a small idea in what you can achieve with the power of classes. Hopefully you can come up with better ideas than me, and if you do, feel free to share!


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