My Favorite Hobbies & Activities Are...
In this webpage, I have used external, embedded, and inline css.
I have also decided to add some photos to use as the background on my webpage.
This concept was learned in Ch. 8.
I incorporated the images using "background-image: url".


KLEE Tools
1. ktest-tool
2. klee-stats
ktest-tool
klee-stats
klee-stats is a Python script used to extract and present in a tabular form runtime statistics for a KLEE execution. The runtime statistics include:- The number of executed instructions
- Instruction coverage in the LLVM bitcode (%)
- Branch coverage in the LLVM bitcode (%)
- Total static instructions in the LLVM bitcode
- The number of currently active states
- Megabytes of memory currently used
- The number of queries issued to STP
- The average number of query constructs per query
- Various time statistics:
- Total user time
- Total wall time
- Time spent in the constraint solver
- Time spent in the counterexample caching code
- Time spent forking
- Time spent in object resolution
klee-stats [options] directoriesThe directories parameter is a list of klee-out-* directories created by KLEE. A common scenario is to simply run klee-stats on klee-last.
In order to limit printed information only to the values of measured times, the following options can be used:
- --print-rel-times—display time values relative to measured execution time
- --print-abs-times—display absolute time values
Various other options can be used to specify what values are displayed and how they are displayed. Options for comparison of statistics are also provided. More information about available options can be obtained using the command:
klee-stats --help


GPA: 4.00
GPA: 3.84
Massachusetts Department of Environment Protection (MassDEP) ensures the timely cleanup of hazardous waste sites and spills. Immediate Response Action (IRA) Reports document mandatory risk reduction measure which must be taken at sites which have been impacted by sudden chemical releases or conditions requiring rapid notification to MassDEP. The officials at MassDEP review IRA reports and summarize the reports to flag conditions of exposure. The project seeks to understand the semantics and pattern of language used to define a flag condition within the report. The reports contains different styles and formats, tables and figures within the reports and the project uses technicalities of natural language processing to handle inconsistent data and build a product to develop priority review for the MassDEP officials and reduces the time required to review all the reports.
The extensive increase of fraud clicks and rise of fake IPs connection have caused a lot of wastage of money and companies are currently looking for ways to minimize this problem. In order to do this several companies use several different processes. TalkingData is the largest independent big data platform for mobile devices. Due to this increase in fraud clicks and IPs, the companies paying for ads are severely facing loss of money. To prevent this, the current technique employed by TalkingData extensively revolves around tracking the clicks by users which do not result in a downloaded application and eventually blacklisting these channel, IPs and devices. In this project, we propose an algorithm that dynamically predict whether a click would result into a downloaded application or would it redirect to a fraudulent site.
The project has employed two techniques to understand the data and predict the fake clicks. The first method is the scalable deep learning method where the dataset is divided into partitions in order to remove the class imbalance in the principal dataset and with these datasets we apply deep learning algorithm on all the datasets. The dataset is divided in a way that the majority class is divided into partitions of the size of minority class. Applying deep learning feed forward network (with binary cross entropy as loss function) on each of these result in definitions for each point. We then apply ensemble technique to define the class which the point in consideration belongs to. The second method is using several machine learning models and constantly optimizing the algorithms to obtain the best possible accuracy. The final goal of the project is to merge these techniques to find a compromise between accuracy and computation efficiency in terms of time and memory.
Fake news has quickly become a major concern for individuals as well as organizations. With the growth of social network technology, it has dived into all sectors of the media and can cause serious harm to the person intended at. Thus we need to stop and detect this flow of news. There have been several sites trying to detect these types of news but largely it is based on their source tracking rather than understanding the semantics of the article. The project aims at predicting if a news is fake based on keywords and mentions
On a team of 5, crawled news articles out of Snopes.com and formulated machine learning and deep learning models in python to detect fake news efficiently.
The ground truth for the project was obtained from Kaggle. You can find the link here.
We applied logistic regression several machine learning model and a deep learning model on our data and obtained a 97% accuracy.
You can find all the information about the project here.
The H1B case status evaluation is a random process according to the US department of labor. The Departmetn of labor has released significant data related to case status and data about every application for specific fields like Employee Address, Start Date, End Date etc. Our motivation behind this project was to predict if an application would be granted the H1B visa given a particular set of attribute values.
You can find the dataset here.
Initially the data had several missing values, insignificant attributes and several types of H1B visas. We removed the missing values, performed feature engineering to bring the individual categorical terms down and performed exploratory analysis to understand trends in the data.
Since it was a classification problem we performed logistic regression, Quadratic Discriminant Analysis, KNN, Random Forests and XG boost to test our models on the test data. The split of datawas 70% training and 30% test data.
The result showed that XG boost had the maximum accuracy followed by random forests and KNN and logistic regression performed very poorly.
Please find all the details of this project here.
The restaurant system is divided into three parts which are dynamically connected to each other. Each section has a relation with other. The three sections are customers, cashier and manager.
Wok this way is an online restaurant management system which allows the customers to order as per their choice in an efficient setting and an easier way. The menu is subdivided in courses, cuisines and food or beverages. This allows the customer to easily browse through what type of food they wish to order.
The customer is also given recommendations based on their previous orders along with the top dishes of the week at the restaurant.
The cashier has a dynamic view of the entire table sitting in the restaurant. They can view the empty tables, occupied tables and the orders at each tables. They can manage all the billing and other documentations. The view is also provided for the kitchen so the chefs know the orders at hand.
Once the cashier approves the bill, the data directly goes to the manager. The manager has an interactive view of all the sales in the restaurant. They can also add and remove employees as well as dishes.
You can find the project here.
Water scarcity is a major concern in rural areas devoid of water from rain. With this concern wastage of water could be fatal for some farmers living under miserable circumstances. The traditional method of providing water to crops is by the farmers through their expertise of understanding. However it can cause loss of water or also affect the yield. The project aims at automating the irrigation system through GSM and IoT in order to maintain the exact water level required for crops.
The first part of this project deals with automating the system. We inserted sensors into the ground which calculated the water level, temperature and humidity. Using this information we set a threshold on our microprocessor attached to the sensors for the lower limit and upper limit of the required level.  The farmer can handle the pump through the same device. Once the farmer sends a reply to the processor, it turns the pump on.
Water is provided to the crops until the upper threshold is reached. Once it is reached , the pump automatically turns off. However, this process is still semi-automated because the farmer has the control to the pump. In order to completely automate the system, we set up a wifi module with the processor and harvested live data from soil.
The data was harvested to our server on MATLAB analytics graphically displayed the trends in each property. Through analyzing this trends for close to one month, we could customize our project for rice crop requirements in summer. We got great success with our results and it showed that it could be used for any crop in any seasons astronomically increasing the scalability of the project.
Tableau | R | Python | Hadoop (Pig, Hive, Hbase) | Spark | MS Excel | MATLAB
SQL | C | Java
Leadership | Team Work | Presentation | Communication
I am currently extensively working on integrating machine learning with business intelligence. The coexistance of the two phases of analytics is extremely important and making this co-existence more efficient and useful is my area of interest.
Apart from academics , I love to play soccer, badminton and squash. I am professional soccer player and love to go outdoors when possible. When forced indoors I am an avid movie watcher and a fan of tv shows. I play board games when bored and movies every week.


When you first access TopCAT, you will be presented with a login page.
You can login by entering your username and password provided by the Lorum Ipsum User Office. Alternatively, to view only public data, select Anonymous from the Authentication Type drop down menu and click login.
Once you've successfully logged in, you will see a page with three tabs.
The My Data tab gives you quick access to all your visits and is presented in a grid.
If you click on a row (make sure it is not a hyperlink), tabs will appear on the bottom half of the page. Each tab gives you more information about the visit.
The Browse tab allows you to browse your data and any public data.
The grid works the same as in the My Data tab. You can sort and filter as well as drill drown the data hierarchy using the hyperlinks on each row. You can use the breadcrumb to go up the hierarchy. The breadcrumb is a useful reference to tell you where you are in the data hierarchy.If the first column of the grid is a tick box, you can click the box to add the item to your cart. Please note if you select an visit, all datasets and datafiles belonging to that visit will be selected. It is not possible for example to unselect one datafile if the parent visit is already selected.
Similar to My Data, clicking on a row (not hyperlink) will display it's meta data information in the panel at the bottom of the page.
The search tabs contains an interface the allows you search across all the visits, datasets and datafiles.
On the very first column of each row on the grid, you will see tick boxes.
Clicking this box will add or remove the selected visit to your Cart. Multiple items can be added using the "Shift" key.
You can use the Cart items counter on the top right corner to check if an item was added or removed.
Clicking on the above will open up the cart window:
Here you can remove already added items or request download of the items in the cart by Clicking the Download Cart button. When the button is clicked, you will be presented with a window with several options.
The Download Name is a name that identifies your particular download. It is used as the filename when your download becomes ready.
The Transport selection option determines the transport mechanism to download your files. The list of available transport mechanisms depends on the facility, but typical examples are:
| Transport Name | Description | Additional Signup/Software |
|---|---|---|
| Https | Your files are prepared so you can initiate a download via https using your browser or other tools such as wget, curl etc. Your files will be downloaded as a compressed zip file. | None |
| Globus | Your files are prepared so you can initiate a Globus Online download (See Globus help for more information). | Globus Connect Personal client is required |
You can optionally enter your email address. When your download is available, an email will be sent notifying you that your download is available.
Clicking the Ok button on the window will(*) submit your download request to be processed. You should see a Cart successfully submitted notification popup on the right corner. The request will be added inside the downloads window.
(*) A particular transport mechanism may be temporarily disabled; in this case, clicking on Ok will instead produce a (red) warning message. You will need to choose a different transport mechanism or wait until it has been re-enabled.
Clicking on the above will open up the downloads window:
The Downloads window is a grid that list all your download requests.
The Status column gives you the current status of your download. Possible values are Restoring from Tape and Available. The Download button is disabled when the status is restoring. Once available, you can click the download button to download the file via the browser if Https transport type was used for that request.
Please note that download pausing and resuming is not supported. Multi-part download managers are also not supported.
For downloads using Globus as the transport type, when the status is complete, you can login to Globus Online and initiate file transfer to your endpoint.


About Us
{{data.business_info.description}}| Business Type: | {{data.business_profile.business_type}} |
| Establishment: | {{data.business_profile.establishment}} |
| Employees: | {{data.business_profile.no_of_employees}} |
| Ownership: | {{data.ownership}} |
| Additional Business |
|
|
Products
{% for key, x in product %}Services
{% for key, x in service %}Gallery
{% for key,value in data.gallery.image %}Contact us
Name : {{data.contact_profile.contact_person}}
|
Address: {{data.contact_profile.address}} City :{{data.city}} State :{{data.state}} Country :{{data.country}} Pin Code : {{data.pincode}} | |
| {{data.contact_profile.mobile}} | |
| {{data.contact_profile.email}} {{data.contact_profile.alternate_email}} |
|
| {{data.contact_profile.contact_website}} |


Abandoned baby giraffe bonds with dog at animal orphanage
South African farmer found Jazz weak and dehydrated in the wild
A baby giraffe abandoned at birth has befriended a dog after being rescued and taken to an animal orphanage in South Africa.
Jazz the giraffe arrived at The Rhino Orphanage in Limpopo province just days after birth. A farmer found him in the wild, weak and dehydrated, and called the centre for help.
Resident watchdog Hunter quickly began to care for the newcomer, and orphanage caretaker Janie Van Heerden said the pair bonded immediately.
She said Jazz has been given IV fluids and his health is improving. He is being fed milk and is trying to eat leaves.
She added: “Possibly soon he will be able to go home.”–PA


PYTHON(1) PYTHON(1) NAME python - an interpreted, interactive, object-oriented programming lan‐ guage SYNOPSIS python [ -B ] [ -d ] [ -E ] [ -h ] [ -i ] [ -m module-name ] [ -q ] [ -O ] [ -OO ] [ -R ] [ -Q argument ] [ -s ] [ -S ] [ -u ] [ -v ] [ -V ] [ -W argument ] [ -x ] [ -? ] [ -c command | script | - ] [ arguments ] DESCRIPTION Python is an interpreted, interactive, object-oriented programming lan‐ guage that combines remarkable power with very clear syntax. For an introduction to programming in Python you are referred to the Python Tutorial. The Python Library Reference documents built-in and standard types, constants, functions and modules. Finally, the Python Reference Manual describes the syntax and semantics of the core language in (per‐ haps too) much detail. (These documents may be located via the INTERNET RESOURCES below; they may be installed on your system as well.) Python's basic power can be extended with your own modules written in C or C++. On most systems such modules may be dynamically loaded. Python is also adaptable as an extension language for existing applications. See the internal documentation for hints. Documentation for installed Python modules and packages can be viewed by running the pydoc program. COMMAND LINE OPTIONS -B Don't write .py[co] files on import. See also PYTHONDONTWRITEBYTE‐ CODE. -c command Specify the command to execute (see next section). This termi‐ nates the option list (following options are passed as arguments to the command). -d Turn on parser debugging output (for wizards only, depending on compilation options). -E Ignore environment variables like PYTHONPATH and PYTHONHOME that modify the behavior of the interpreter. -h , -? , --help Prints the usage for the interpreter executable and exits. -i When a script is passed as first argument or the -c option is used, enter interactive mode after executing the script or the command. It does not read the $PYTHONSTARTUP file. This can be useful to inspect global variables or a stack trace when a script raises an exception. -m module-name Searches sys.path for the named module and runs the corresponding .py file as a script. -O Turn on basic optimizations. This changes the filename extension for compiled (bytecode) files from .pyc to .pyo. Given twice, causes docstrings to be discarded. -OO Discard docstrings in addition to the -O optimizations. -q Do not print the version and copyright messages. These messages are also suppressed in non-interactive mode. -R Turn on "hash randomization", so that the hash() values of str, bytes and datetime objects are "salted" with an unpredictable pseudo-random value. Although they remain constant within an individual Python process, they are not predictable between repeated invocations of Python. This is intended to provide protection against a denial of service caused by carefully-chosen inputs that exploit the worst case per‐ formance of a dict construction, O(n^2) complexity. See http://www.ocert.org/advisories/ocert-2011-003.html for details. -Q argument Division control; see PEP 238. The argument must be one of "old" (the default, int/int and long/long return an int or long), "new" (new division semantics, i.e. int/int and long/long returns a float), "warn" (old division semantics with a warning for int/int and long/long), or "warnall" (old division semantics with a warn‐ ing for all use of the division operator). For a use of "war‐ nall", see the Tools/scripts/fixdiv.py script. -s Don't add user site directory to sys.path. -S Disable the import of the module site and the site-dependent manipulations of sys.path that it entails. -u Force the binary I/O layers of stdin, stdout and stderr to be unbuffered. The text I/O layer will still be line-buffered. -v Print a message each time a module is initialized, showing the place (filename or built-in module) from which it is loaded. When given twice, print a message for each file that is checked for when searching for a module. Also provides information on module cleanup at exit. -V , --version Prints the Python version number of the executable and exits. -W argument Warning control. Python sometimes prints warning message to sys.stderr. A typical warning message has the following form: file:line: category: message. By default, each warning is printed once for each source line where it occurs. This option controls how often warnings are printed. Multiple -W options may be given; when a warning matches more than one option, the action for the last matching option is performed. Invalid -W options are ignored (a warning message is printed about invalid options when the first warning is issued). Warnings can also be controlled from within a Python program using the warnings module. The simplest form of argument is one of the following action strings (or a unique abbreviation): ignore to ignore all warnings; default to explicitly request the default behavior (printing each warning once per source line); all to print a warning each time it occurs (this may generate many messages if a warning is triggered repeatedly for the same source line, such as inside a loop); mod‐ ule to print each warning only the first time it occurs in each module; once to print each warning only the first time it occurs in the program; or error to raise an exception instead of printing a warning message. The full form of argument is action:message:category:module:line. Here, action is as explained above but only applies to messages that match the remaining fields. Empty fields match all values; trailing empty fields may be omitted. The message field matches the start of the warning message printed; this match is case- insensitive. The category field matches the warning category. This must be a class name; the match test whether the actual warn‐ ing category of the message is a subclass of the specified warning category. The full class name must be given. The module field matches the (fully-qualified) module name; this match is case-sen‐ sitive. The line field matches the line number, where zero matches all line numbers and is thus equivalent to an omitted line number. -x Skip the first line of the source. This is intended for a DOS specific hack only. Warning: the line numbers in error messages will be off by one! INTERPRETER INTERFACE The interpreter interface resembles that of the UNIX shell: when called with standard input connected to a tty device, it prompts for commands and executes them until an EOF is read; when called with a file name argument or with a file as standard input, it reads and executes a script from that file; when called with -c command, it executes the Python statement(s) given as command. Here command may contain multiple state‐ ments separated by newlines. Leading whitespace is significant in Python statements! In non-interactive mode, the entire input is parsed before it is executed. If available, the script name and additional arguments thereafter are passed to the script in the Python variable sys.argv, which is a list of strings (you must first import sys to be able to access it). If no script name is given, sys.argv[0] is an empty string; if -c is used, sys.argv[0] contains the string '-c'. Note that options interpreted by the Python interpreter itself are not placed in sys.argv. In interactive mode, the primary prompt is `>>>'; the second prompt (which appears when a command is not complete) is `...'. The prompts can be changed by assignment to sys.ps1 or sys.ps2. The interpreter quits when it reads an EOF at a prompt. When an unhandled exception occurs, a stack trace is printed and control returns to the primary prompt; in non- interactive mode, the interpreter exits after printing the stack trace. The interrupt signal raises the KeyboardInterrupt exception; other UNIX signals are not caught (except that SIGPIPE is sometimes ignored, in favor of the IOError exception). Error messages are written to stderr. FILES AND DIRECTORIES These are subject to difference depending on local installation conven‐ tions; ${prefix} and ${exec_prefix} are installation-dependent and should be interpreted as for GNU software; they may be the same. On Debian GNU/{Hurd,Linux} the default for both is /usr. ${exec_prefix}/bin/python Recommended location of the interpreter. ${prefix}/lib/python<version> ${exec_prefix}/lib/python<version> Recommended locations of the directories containing the standard modules. ${prefix}/include/python<version> ${exec_prefix}/include/python<version> Recommended locations of the directories containing the include files needed for developing Python extensions and embedding the interpreter. ENVIRONMENT VARIABLES PYTHONHOME Change the location of the standard Python libraries. By default, the libraries are searched in ${prefix}/lib/python<version> and ${exec_prefix}/lib/python<version>, where ${prefix} and ${exec_prefix} are installation-dependent directories, both defaulting to /usr/local. When $PYTHONHOME is set to a single directory, its value replaces both ${prefix} and ${exec_prefix}. To specify different values for these, set $PYTHONHOME to ${pre‐ fix}:${exec_prefix}. PYTHONPATH Augments the default search path for module files. The format is the same as the shell's $PATH: one or more directory pathnames separated by colons. Non-existent directories are silently ignored. The default search path is installation dependent, but generally begins with ${prefix}/lib/python<version> (see PYTHON‐ HOME above). The default search path is always appended to $PYTHONPATH. If a script argument is given, the directory con‐ taining the script is inserted in the path in front of $PYTHON‐ PATH. The search path can be manipulated from within a Python program as the variable sys.path. PYTHONSTARTUP If this is the name of a readable file, the Python commands in that file are executed before the first prompt is displayed in interactive mode. The file is executed in the same name space where interactive commands are executed so that objects defined or imported in it can be used without qualification in the interac‐ tive session. You can also change the prompts sys.ps1 and sys.ps2 in this file. PYTHONY2K Set this to a non-empty string to cause the time module to require dates specified as strings to include 4-digit years, otherwise 2-digit years are converted based on rules described in the time module documentation. PYTHONOPTIMIZE If this is set to a non-empty string it is equivalent to specify‐ ing the -O option. If set to an integer, it is equivalent to spec‐ ifying -O multiple times. PYTHONDEBUG If this is set to a non-empty string it is equivalent to specify‐ ing the -d option. If set to an integer, it is equivalent to spec‐ ifying -d multiple times. PYTHONDONTWRITEBYTECODE If this is set to a non-empty string it is equivalent to specify‐ ing the -B option (don't try to write .py[co] files). PYTHONINSPECT If this is set to a non-empty string it is equivalent to specify‐ ing the -i option. PYTHONIOENCODING If this is set before running the interpreter, it overrides the encoding used for stdin/stdout/stderr, in the syntax encoding‐ name:errorhandler The errorhandler part is optional and has the same meaning as in str.encode. For stderr, the errorhandler part is ignored; the handler will always be ´backslashreplace´. PYTHONNOUSERSITE If this is set to a non-empty string it is equivalent to specify‐ ing the -s option (Don't add the user site directory to sys.path). PYTHONUNBUFFERED If this is set to a non-empty string it is equivalent to specify‐ ing the -u option. PYTHONVERBOSE If this is set to a non-empty string it is equivalent to specify‐ ing the -v option. If set to an integer, it is equivalent to spec‐ ifying -v multiple times. PYTHONWARNINGS If this is set to a comma-separated string it is equivalent to specifying the -W option for each separate value. PYTHONHASHSEED If this variable is set to "random", the effect is the same as specifying the -R option: a random value is used to seed the hashes of str, bytes and datetime objects. If PYTHONHASHSEED is set to an integer value, it is used as a fixed seed for generating the hash() of the types covered by the hash randomization. Its purpose is to allow repeatable hashing, such as for selftests for the interpreter itself, or to allow a cluster of python processes to share hash values. The integer must be a decimal number in the range [0,4294967295]. Specifying the value 0 will lead to the same hash values as when hash randomization is disabled. AUTHOR The Python Software Foundation: http://www.python.org/psf INTERNET RESOURCES Main website: http://www.python.org/ Documentation: http://docs.python.org/py3k/ Developer resources: http://docs.python.org/devguide/ Downloads: http://python.org/download/ Module repository: http://pypi.python.org/ Newsgroups: comp.lang.python, comp.lang.python.announce LICENSING Python is distributed under an Open Source license. See the file "LICENSE" in the Python source distribution for information on terms & conditions for accessing and otherwise using Python and for a DISCLAIMER OF ALL WARRANTIES. $Date$ PYTHON(1)


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--- layout: post title: Need to scrape a website? BeautifulSoup is your friend! date: 2012-04-06 13:07:00.000000000 +02:00 type: post published: true status: publish categories: - Coding tags: - BeautifulSoup - python - website scraping meta: _edit_last: '1' _thumbnail_id: '1939' dsq_thread_id: '638786766' author: login: bbWebdesign email<EMAIL_ADDRESS>display_name: Bob first_name: Bob last_name: Belderbos ---
Beautiful Soup is a Python library to do screen scraping. I think it is a powerful tool which can be used in many situations. See here for examples where it is used. In this post I will show you two examples how to crawl websites using this library.
Best way to start is to download the latest source and start playing with the many examples from the documentation page. In this post I will scrape the paging of a Dutch tv program site. In the second example I scrape the data of top ranked artists. Another interesting one would be to replicate the Facebook sharer.php which shows you different thumbnails found on the page you want to share. Reddit uses BeautifulSoup for this as well. Maybe a nice exercise for you?
As you can read and practice yourself with above links, without further ado the two examples:
One of my future plans is to build an iphone app to see programs from Dutch television. I couldn't download the existing "uitzendinggemist" app because Apple only gives you access to one store per credit card, mine is Spain. I didn't actively look for a workaround, however this limitation is actually good to start building something myself. I will need to leave it for the future due to current work, but the below example gets me at least all RSS feeds which are hidden behind a paging navigation of 93 pages, see http://www.uitzendinggemist.nl/programmas/
#! /usr/bin/env python import urllib from bs4 import BeautifulSoup as Soup base_url = "http://www.uitzendinggemist.nl" program_url = base_url + "/programmas/?page=" for page in range(1, 93): url = "%s%d" % (program_url, page) soup = Soup(urllib.urlopen(url)) for link in soup.find_all(attrs={'class': 'knav_link'}): print link.get('title').encode("utf-8")," :: ", print "%s%s.rss" % (base_url, link.get('href') )
Notes:
This example is a little bit more challenging because we have to do more parsing on the HTML. See http://www.musicrow.com/charts/top-ranking-country-artists/: we want to get the name, twitter/facebook page, number of likes/followers of top ranked artists. Moreover, we want to save that data into a database table.
#! /usr/bin/env python import urllib from bs4 import BeautifulSoup as Soup from time import time import MySQLdb db = MySQLdb.connect("localhost","bob","cangetin","bobbelde_models" ) cursor = db.cursor() url = "http://www.musicrow.com/charts/top-ranking-country-artists/" soup = Soup(urllib.urlopen(url)) for row in soup.find_all(attrs={'class': 'row'}): artist = [text for text in row.stripped_strings] name = artist[1] followers = artist[5] likes = artist[7] thumb = row.select("img")[0]['src'] twitter = row.select("a")[0]['href'] facebook = row.select("a")[1]['href'] tstamp = int(time()) sql = """INSERT INTO top_ranking (id, name, followers, likes, thumb, twitter, facebook, audit_who, audit_ins, audit_upd) VALUES (NULL, '%s', '%s', '%s', '%s', '%s', '%s', 'admin', '%d', NULL); """ % (name, followers, likes, thumb, twitter, facebook, tstamp) try: cursor.execute(sql) db.commit() except: db.rollback() db.close() db.close()
Notes:
I hope you enjoyed this post. If you have interesting use cases yourself, I invite you to share them in the comments ...


- Messages enclosed in curly brackets {Data.CompanyName} are data fields which values are retrieved from the database.
- Messages enclosed in double quotes "Company Name:" are custom defined fields and printed directly.
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Star Wars Jedi: Fallen Order Tomb of Miktrull Walkthrough Candle Puzzle solutions
by James BillcliffeAs the plot thickens in Star Wars Jedi: Fallen Order, Cal is recalled to Zeffo by the discovery of a second burial chamber: the Tomb of Miktrull. Just like the last, this tomb is filled with deadly enemies and brain-teasing puzzles.
Here’s how to get through unscathed.
Star Wars Jedi: Fallen Order – Tomb of Miktrull walkthrough
After you’ve made your way through the Imperial Dig Site, faced off against a powerful enemy, and found the Powered Zipline upgrade, you come across the entrance to the Tomb of Miktrull after squeezing through a tight opening.
On the other side, turn right down the slope, then jump and climb across the wall at the bottom.
Climb up the ledge, then use the ropes to swing across the ravine before sliding down the hill to another climbing wall.
At the top go around to the right and squeeze through the gap. Take out the Stormtroopers and Tomb Guardian on the other side, then Force Push the crumbling wall in the right-hand corner of the room.
This leads into a large flooded chamber. Run across to the other side and Force Push the broken wall.

Climb around to the top and Force Push the wall. Deal with the enemies inside this next flooded chamber, then interact with the button in front of the central hole.
A block will fall down, which you can Force Push against the wall to get up to the nearby doorway.
At this point you can jump across to the other side of the room and open up two secret passages with Force Push. The one on the left contains a chest. The one on the right leads to an Essence echo that you can’t reach quite yet.
Back in the main chamber, continue through the doorway that you can now reach thanks to the block you Force Pushed against the wall.
Turn right and run to the end of the corridor, then turn left and go down the stairs.
Continue along the path, Force Pushing the Stormtroopers off the edge for maximum fun, then wall run to the next area at the end.
Turn right after a little bit on the other side, then swing across the chasm using the two vine ropes, grabbing onto the leaves on the other side.
Magnetic jumping puzzle room
Climb around the back of the stalactite, then jump onto the cliff edge. Press on forwards along the rocks, then turn left before climbing up the high wall at the end of the corridor.

Your button press caused a large block to be magnetised into the gap between the platforms here, so use the conveniently placed vines to shimmy around and onto the next one.
Beat up the Stormtroopers, then jump onto the next platform and head around to the left.
Balance along the tree branch and make the jump to the next rock spire, then keep jumping around to the right.
Wall run across to the climbable vines, then jump up to face the Purge Trooper at the top.
With him down, interact with the button here.
Now jump down to the left where the block flies out to and use the vines to climb around.
Haul yourself over to the other side, then run around to the left, watching out for the Stormtrooper waiting to ambush you.
Jump across to the circular pillar, then turn around and look behind you. If you Force Push the spiky boi into the cracked gate there you’ll be able to collect a Force Essence.
Back on the circular platform, interact with the button and wait. A block will be pulled into the centre.
Now press the button again and use Force Slow on the block. Run towards it, jump, and hang onto the side.
When the Slow wears off you’ll be able to jump to a new platform and then some vines on the other side.
At the top, wall run to the next circular pillar and ambush the flamethrower trooper, then wall run to the next ledge and climb the vines.
Climb up some more vines at the top and you’ll come to a bridge.
Jump across to the other side, dealing with the enemies, then interact with the button on your right. This releases some candles that you can force push in front of you to burn away the vines and open a shortcut to the central chamber.
Press on through your new shortcut and Force Push the next wall you come across.
Jump onto the chandelier in the middle of the atrium, then over to the other side where there’s another wall to Force Push.
The Purge Trooper lying in wait behind it needs a stern talking to, but will go down easy enough if you take out his friend first to even the odds.

On the far side, jump up to the right and climb the bank, turning left at the top through the cracked wall.
Jump down to the left and wander over to the left-hand side of the platform.
Grab onto the grass covered stalactites and climb around, jumping between them to reach the other side.
 You can either time your jumps to go in between their cycles, or use Force Slow to hold them in place while you pass safely.
Pressing the button at the end of the corridor will turn them off permanently.
When you get there, squeeze through the narrow gap on your left to get to the next area.
Heal off any damage you’ve taken at the meditation point here, then go around to the right into the illuminated chamber.
Jump onto the sarcophagus by grabbing onto the railings on the bottom, then shimmy over to the left and climb on top using the grassy vines.
Beat up the Stormtroopers above and enjoy the cutscene.

Climb up the revealed handholds, then squeeze through the gap on your right to start retracing your steps.
Defeat the enemies in your path back through the sliding thwomp room, then fight the Tomb Guardian at the end.
When you reach the cliff edge, look up and Force Pull the snagged vine rope into your hands and use it to swing across.
Then at the locked gate, use Force Pull on the glowing object on the right-hand side of the gate and pull the rope into the slot behind you.
Wail on the Stormtroopers and droids, then go over to the left on the other side.
There are more ropes you can Force Pull towards you to swing across here, then wall run to get to the next ledge.
Look to your right and there’s another gate you can Force Pull open, before taking out the enemies inside.
Candle chandelier puzzle
You’re now back in the first flooded chamber that you entered, so cross the room and backtrack through the room with the stairs up to the second level.
Clear out all of the enemies on the second flooded level. You can nip back to the side path you opened earlier on the other side of the room now and get the Force Essence if you want.
To get it you need to Force Pull a candle from the right-hand end of the corridor and throw it through the hole above the gate on the left-hand end.
If you’re just interested in finishing the Tomb of Miktrull however, you need to go over to the waterfall on the left-hand side of the room and Force Pull the glowing object to crank up the chandelier.
Then make sure that the magnetic field on that side of the room is switched on using the nearby button.
Now go over to the other side of the room and Force Pull a candle from the wall. Throw it into the magnetic field.
Now jump back across and Force Pull it into your grasp again.
You can now go and throw it at the vines covering the chandelier’s left-hand chain without it being doused by the water.
This smashes the chandelier, which releases a ball like the ones you can in the Tomb of Eilram.
Jump down to the lower level and Force Push the ball into the slot.
This raises the spire and gives you an exit from the Tomb of Miktrull!
For more on Star Wars Jedi: Fallen Order, here are all of the Lightsaber parts we’ve found so far. Or if you’re more interested in less violent pursuits, here’s where we’ve found seeds for Greez’s Terrarium.
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This is an experiment to determine the effect of music on task completion speed. I am conducting this experiment as part of a science project for my 8th grade science class. Thank you for your willingness to participate.
You will be presented with four pages, each of which contains six simple questions. Music will be played during some of these pages. Please answer the questions to the best of your ability. This experiment should take less than ten minutes to complete.
Feel free to email me with any questions.
If you are under the age of 18, I am required to obtain your parents' or guardians' permission for you to participate in the experiment.


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| Interface Summary | |
|---|---|
| RefreshUserMappingsProtocol | Protocol use |
| Class Summary | |
|---|---|
| AuthenticationFilterInitializer | Initializes Alfredo AuthenticationFilter which provides support for Kerberos HTTP SPENGO authentication. |
| Credentials | A class that provides the facilities of reading and writing secret keys and Tokens. |
| Groups | A user-to-groups mapping service. |
| JniBasedUnixGroupsMapping | A JNI-based implementation of GroupMappingServiceProvider
that invokes libC calls to get the group
memberships of a given user. |
| JniBasedUnixGroupsNetgroupMapping | A JNI-based implementation of GroupMappingServiceProvider
that invokes libC calls to get the group
memberships of a given user. |
| KerberosName | This class implements parsing and handling of Kerberos principal names. |
| Krb5AndCertsSslSocketConnector | Extend Jetty's SslSocketConnector to optionally also provide
Kerberos5ized SSL sockets. |
| Krb5AndCertsSslSocketConnector.Krb5SslFilter | Filter that takes the Kerberos principal identified in the
Krb5AndCertsSslSocketConnector and provides it the to the servlet
at runtime, setting the principal and short name. |
| NetgroupCache | Class that caches the netgroups and inverts group-to-user map to user-to-group map |
| SaslInputStream | A SaslInputStream is composed of an InputStream and a SaslServer (or SaslClient) so that read() methods return data that are read in from the underlying InputStream but have been additionally processed by the SaslServer (or SaslClient) object. |
| SaslOutputStream | A SaslOutputStream is composed of an OutputStream and a SaslServer (or SaslClient) so that write() methods first process the data before writing them out to the underlying OutputStream. |
| SaslRpcClient | A utility class that encapsulates SASL logic for RPC client |
| SaslRpcServer | A utility class for dealing with SASL on RPC server |
| SaslRpcServer.SaslDigestCallbackHandler | CallbackHandler for SASL DIGEST-MD5 mechanism |
| SaslRpcServer.SaslGssCallbackHandler | CallbackHandler for SASL GSSAPI Kerberos mechanism |
| SecurityUtil | |
| SecurityUtil.QualifiedHostResolver | This an alternate resolver with important properties that the standard java resolver lacks: 1) The hostname is fully qualified. |
| ShellBasedUnixGroupsMapping | A simple shell-based implementation of GroupMappingServiceProvider
that exec's the groups shell command to fetch the group
memberships of a given user. |
| ShellBasedUnixGroupsNetgroupMapping | A simple shell-based implementation of GroupMappingServiceProvider
that exec's the groups shell command to fetch the group
memberships of a given user. |
| UserGroupInformation | User and group information for Hadoop. |
| UserGroupInformation.HadoopLoginModule | A login module that looks at the Kerberos, Unix, or Windows principal and adds the corresponding UserName. |
| Enum Summary | |
|---|---|
| Krb5AndCertsSslSocketConnector.MODE | |
| SaslRpcServer.AuthMethod | Authentication method |
| SaslRpcServer.QualityOfProtection | |
| SaslRpcServer.SaslStatus | |
| UserGroupInformation.AuthenticationMethod | existing types of authentications' methods |
| Exception Summary | |
|---|---|
| AccessControlException | An exception class for access control related issues. |
| KerberosName.BadFormatString | |
| KerberosName.NoMatchingRule |
| Annotation Types Summary | |
|---|---|
| KerberosInfo | Indicates Kerberos related information to be used |
|
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- A Spark driver gets this data through AMQP
- Max temperature value in the last 5 seconds is shown
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Temperature demo scenario
Thanks!
https://github.com/redhat-iot/amqp-spark-demo


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- Extract: Verify and fix the extraction rules for the website.
- Deliver: Get your data!


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The maintainer’s git time is spent on three activities.
-
Communication (60%)
Mailing list discussions on general design, fielding user questions, diagnosing bug reports; reviewing, commenting on, suggesting alternatives to, and rejecting patches.
-
Integration (30%)
Applying new patches from the contributors while spotting and correcting minor mistakes, shuffling the integration and testing branches, pushing the results out, cutting the releases, and making announcements.
-
Own development (10%)
Scratching my own itch and sending proposed patch series out.
The policy on Integration is informally mentioned in "A Note from the maintainer" message, which is periodically posted to this mailing list after each feature release is made.
The policy.
-
Feature releases are numbered as vX.Y.Z and are meant to contain bugfixes and enhancements in any area, including functionality, performance and usability, without regression.
-
Maintenance releases are numbered as vX.Y.Z.W and are meant to contain only bugfixes for the corresponding vX.Y.Z feature release and earlier maintenance releases vX.Y.Z.V (V < W).
-
master branch is used to prepare for the next feature release. In other words, at some point, the tip of master branch is tagged with vX.Y.Z.
-
maint branch is used to prepare for the next maintenance release. After the feature release vX.Y.Z is made, the tip of maint branch is set to that release, and bugfixes will accumulate on the branch, and at some point, the tip of the branch is tagged with vX.Y.Z.1, vX.Y.Z.2, and so on.
-
next branch is used to publish changes (both enhancements and fixes) that (1) have worthwhile goal, (2) are in a fairly good shape suitable for everyday use, (3) but have not yet demonstrated to be regression free. New changes are tested in next before merged to master.
-
pu branch is used to publish other proposed changes that do not yet pass the criteria set for next.
-
The tips of master, maint and next branches will always fast-forward, to allow people to build their own customization on top of them.
-
Usually master contains all of maint, next contains all of master and pu contains all of next.
-
The tip of master is meant to be more stable than any tagged releases, and the users are encouraged to follow it.
-
The next branch is where new action takes place, and the users are encouraged to test it so that regressions and bugs are found before new topics are merged to master.
A typical git day for the maintainer implements the above policy by doing the following:
-
Scan mailing list and #git channel log. Respond with review comments, suggestions etc. Kibitz. Collect potentially usable patches from the mailing list. Patches about a single topic go to one mailbox (I read my mail in Gnus, and type \C-o to save/append messages in files in mbox format).
-
Review the patches in the saved mailboxes. Edit proposed log message for typofixes and clarifications, and add Acks collected from the list. Edit patch to incorporate "Oops, that should have been like this" fixes from the discussion.
-
Classify the collected patches and handle master and maint updates:
-
Obviously correct fixes that pertain to the tip of maint are directly applied to maint.
-
Obviously correct fixes that pertain to the tip of master are directly applied to master.
This step is done with "git am".
$ git checkout master ;# or "git checkout maint" $ git am -3 -s mailbox $ make test
-
Merge downwards (maint→master):
$ git checkout master $ git merge maint $ make test
-
Review the last issue of "What’s cooking" message, review the topics scheduled for merging upwards (topic→master and topic→maint), and merge.
$ git checkout master ;# or "git checkout maint" $ git merge ai/topic ;# or "git merge ai/maint-topic" $ git log -p ORIG_HEAD.. ;# final review $ git diff ORIG_HEAD.. ;# final review $ make test ;# final review $ git branch -d ai/topic ;# or "git branch -d ai/maint-topic"
-
Merge downwards (maint→master) if needed:
$ git checkout master $ git merge maint $ make test
-
Merge downwards (master→next) if needed:
$ git checkout next $ git merge master $ make test
-
Handle the remaining patches:
-
Anything unobvious that is applicable to master (in other words, does not depend on anything that is still in next and not in master) is applied to a new topic branch that is forked from the tip of master. This includes both enhancements and unobvious fixes to master. A topic branch is named as ai/topic where "ai" is typically author’s initial and "topic" is a descriptive name of the topic (in other words, "what’s the series is about").
-
An unobvious fix meant for maint is applied to a new topic branch that is forked from the tip of maint. The topic is named as ai/maint-topic.
-
Changes that pertain to an existing topic are applied to the branch, but:
-
obviously correct ones are applied first;
-
questionable ones are discarded or applied to near the tip;
-
Replacement patches to an existing topic are accepted only for commits not in next.
The above except the "replacement" are all done with:
$ git am -3 -s mailbox
while patch replacement is often done by:
$ git format-patch ai/topic~$n..ai/topic ;# export existing
then replace some parts with the new patch, and reapplying:
$ git reset --hard ai/topic~$n $ git am -3 -s 000*.txt
The full test suite is always run for 'maint' and 'master' after patch application; for topic branches the tests are run as time permits.
-
Update "What’s cooking" message to review the updates to existing topics, newly added topics and graduated topics.
This step is helped with Meta/cook script (where Meta/ contains a checkout of the 'todo' branch).
-
Merge topics to next. For each branch whose tip is not merged to next, one of three things can happen:
-
The commits are all next-worthy; merge the topic to next:
$ git checkout next $ git merge ai/topic ;# or "git merge ai/maint-topic" $ make test
-
The new parts are of mixed quality, but earlier ones are next-worthy; merge the early parts to next:
$ git checkout next $ git merge ai/topic~2 ;# the tip two are dubious $ make test
-
Nothing is next-worthy; do not do anything.
-
[ OBSOLETE ] Optionally rebase topics that do not have any commit in next yet, when they can take advantage of low-level framework change that is merged to master already.
$ git rebase master ai/topic
This step is helped with Meta/git-topic.perl script to identify which topic is rebaseable. There also is a pre-rebase hook to make sure that topics that are already in 'next' are not rebased beyond the merged commit.
-
[ OBSOLETE ] Rebuild "pu" to merge the tips of topics not in next.
$ git checkout pu $ git reset --hard next $ git merge ai/topic ;# repeat for all remaining topics $ make test
This step is helped with Meta/PU script
-
Push four integration branches to a private repository at k.org and run "make test" on all of them.
-
Push four integration branches to /pub/scm/git/git.git at k.org. This triggers its post-update hook which:
(1) runs "git pull" in $HOME/git-doc/ repository to pull 'master' just pushed out;
(2) runs "make doc" in $HOME/git-doc/, install the generated documentation in staging areas, which are separate repositories that have html and man branches checked out.
(3) runs "git commit" in the staging areas, and run "git push" back to /pub/scm/git/git.git/ to update the html and man branches.
(4) installs generated documentation to /pub/software/scm/git/docs/ to be viewed from http://www.kernel.org/
-
Fetch html and man branches back from k.org, and push four integration branches and the two documentation branches to repo.or.cz and other mirrors.
Some observations to be made.
-
Each topic is tested individually, and also together with other topics cooking in next. Until it matures, none part of it is merged to master.
-
A topic already in next can get fixes while still in next. Such a topic will have many merges to next (in other words, "git log --first-parent next" will show many "Merge ai/topic to next" for the same topic.
-
An unobvious fix for maint is cooked in next and then merged to master to make extra sure it is Ok and then merged to maint.
-
Even when next becomes empty (in other words, all topics prove stable and are merged to master and "git diff master next" shows empty), it has tons of merge commits that will never be in master.
-
In principle, "git log --first-parent master..next" should show nothing but merges (in practice, there are fixup commits and reverts that are not merges).
-
Commits near the tip of a topic branch that are not in next are fair game to be discarded, replaced or rewritten. Commits already merged to next will not be.
-
Being in the next branch is not a guarantee for a topic to be included in the next feature release. Being in the master branch typically is.


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| Macros | Brief description |
| COFFEE_EnableFlag | Helper to set the state of a _flag_ on a uint32 _flags_ (bitarray). |
| COFFEE_IsFlagEnabled | Helper which query if a _flag_ is enabled on a uint32 _flags_ (bitarray). |
| Defines | |
| int16 | 16 bits signed integer |
| int32 | 32 bits signed integer |
| int8 | 8 bits signed integer |
| NONE | index null value |
| NULL | null pointer value |
| NULL_CHAR | null character value |
| real | Floating point number. |
| real64 | 64 bits floating point number |
| uint16 | 16 bits unsigned integer |
| uint32 | 32 bits unsigned integer |
| uint8 | 8 bits unsigned integer |
| ulong | size type |
| ulong_ptr | pointer type |


Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean.
A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of sentences fly into your mouth.
When she reached the first hills of the Italic Mountains, she had a last view back on the skyline of her hometown Bookmarksgrove, the headline of Alphabet Village and the subline of her own road, the Line Lane.
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A fluent API for querying, creating, updating and deleting OData resources in Angular. OData service for Angular.
Please check also my other related project, OData Angular Generator
Full examples of the library:
Install from npm:
npm i angular-odata
Import ODataModule into your application module definition and setup the module for the serviceRootUrl
.
import { NgModule } from '@angular/core';
import { ODataModule } from 'angular-odata';
@NgModule({
imports: [
...
ODataModule.forRoot({
config: {
serviceRootUrl: 'https://services.odata.org/V4/(S(4m0tuxtnhcfctl4gzem3gr10))/TripPinServiceRW/'
}
})
...
]
})
export class AppModule {}
Use OData Angular Generator for generate the <Api>Config and the <Api>Module definition.
Import ODataModule, <Api>Config and <Api>Module into your application module. Setup ODataModule with <Api>Config and import it along with <Api>Module.
import { NgModule } from '@angular/core';
import { ODataModule } from 'angular-odata';
import { TripPinConfig, TripPinModule } from './trippin';
@NgModule({
imports: [
...
ODataModule.forRoot({ config: TripPinConfig }),
TripPinModule
]
...
})
export class AppModule {}
Inject and use the ODataServiceFactory
import { Component } from "@angular/core";
import { ODataClient, ODATA_ETAG } from "angular-odata";
@Component({
selector: "app-root",
templateUrl: "./app.component.html",
styleUrls: ["./app.component.css"],
})
export class AppComponent {
title = "TripPin";
constructor(private factory: ODataServiceFactory) {
this.queries();
}
queries() {
// Use OData Service Factory
let airportsService = this.factory.entitySet<Airport>(
"Airports",
"Microsoft.OData.SampleService.Models.TripPin.Airport"
);
let airports = airportsService.entities();
// Fetch airports
airports.fetch().subscribe(({ entities }) => {
console.log("Airports: ", entities);
});
// Fetch airports with count
airports
.fetch({ withCount: true })
.subscribe(({ entities, annots }) =>
console.log("Airports: ", entities, "Annotations: ", annots)
);
// Fetch all airports
airports
.fetchAll()
.subscribe((airports) => console.log("All Airports: ", airports));
// Fetch airport with key and fetch again from cache
airports
.entity("CYYZ")
.fetch()
.pipe(
switchMap(() =>
// From Cache!
airports.entity("CYYZ").fetch({ fetchPolicy: "cache-first" })
)
)
.subscribe(({ entity, annots }) =>
console.log("Airport: ", entity, "Annotations: ", annots)
);
// Clone airports resource and filter new resource
airports
.clone()
.query((q) =>
q.filter({ Location: { City: { CountryRegion: "United States" } } })
)
.fetch()
.subscribe(({ entities, annots }) =>
console.log(
"Airports of United States: ",
entities,
"Annotations: ",
annots
)
);
// Change query definition of airports resource and fetch again
airports.query((q) =>
q.filter().push({ Location: { City: { Region: "California" } } })
);
airports
.fetch()
.subscribe(({ entities, annots }) =>
console.log(
"Airports in California: ",
entities,
"Annotations: ",
annots
)
);
// Store airports resource
var json = airports.toJSON();
// Load airports resource
airports = this.odata.fromJSON(json) as ODataEntitySetResource<Airport>;
// Change query definition of airports resource and fetch again
airports.query((q) => q.filter().clear());
airports
.fetch()
.subscribe(({ entities, annots }) =>
console.log("Airports: ", entities, "Annotations: ", annots)
);
let peopleService = this.factory.entitySet<Person>(
"People",
"Microsoft.OData.SampleService.Models.TripPin.Person"
);
let people = peopleService.entities();
// Clone people resource and expand and fetch
people
.clone()
.query((q) =>
q.expand({
Friends: {
expand: { Friends: { select: ["AddressInfo"] } },
},
Trips: { select: ["Name", "Tags"] },
})
)
.fetch({ withCount: true })
.subscribe(({ entities, annots }) =>
console.log(
"People with Friends and Trips: ",
entities,
"Annotations: ",
annots
)
);
// Clone people resource and filter with expressions
people
.clone()
.query((q) =>
q.filter(({ e }) =>
e().eq("Emails", "john@example.com").or(e().eq("UserName", "john"))
)
)
.fetch()
.subscribe(({ entities, annots }) =>
console.log(
"People with Friends and Trips: ",
entities,
"Annotations: ",
annots
)
);
this.odata
.batch("TripPin")
.exec(() =>
forkJoin({
airports: airports.fetch(),
people: people.fetch({ withCount: true }),
})
)
.subscribe();
}
}
The library works mainly with OData Version 4, however, it incorporates basic support for versions 3 and 2.
For a deep query customizations the library use odata-query
and odata-filter-builder
as a builders.
The api documentation is generated using compodoc and can be viewed here: https://diegomvh.github.io/angular-odata/docs/
Library documentation can be viewed on the wiki here: https://github.com/diegomvh/angular-odata/wiki


About This Page
Credits for this site go (in no particular order) to Alan Turing, Tim Burners-Lee, Google, CSE@IIT Delhi, Leonhard Euler, Github (for hosting this page), Mark Otto & Jacob Thornton (Bootstrap). The (amazing) bootstrap library is found here.
Note to self:
The web is about continuous iteration and hacking, and unless one uses a framework, building from scratch with custom CSS and Javascript is just not feasible or even desirable.
However, in order to appreciate the many different building blocks, one needs to get into atleast a few of them, to see how they work, even try to build them. Remember, however fancy the tool looks, it is built from simple Javascript & CSS. Here are some valuable resources to get started.
- Reverse Engineer
- Places like Quora resource on Web Coding and posts like this are golden. Knowing conventions adopted by each technology helps not only in code consistency but also in understanding code written by others.
- Explore
- A good way to soak in web code is to just keep looking at it! Just right click on any page, select Inspect Element and violà. This is a good way to learn about confusing attributes like padding, margins, etc. There are many other tools like Web Inspector that help. The best part about web development is that you can get your ideas ready and running beautifully in a jiffy.
- Minimalism
- I love this word because it sounds like a great philosiphical theory (it probably IS) that I can never hope to understand. But related to web designing, it is probably the best way to describe Google & Apple's mantra in one word. Think of only the most important things first and then build iteratively. This is a funny reference.


public class Order
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private java.lang.String |
createdDate
The date the order was created.
|
private Customer |
cust
The Customer to which the order belongs to.
|
private boolean |
delivery
True if the order is to be delivered rather than picked up.
|
private boolean |
isCash
If True, the order is to be paid in cash.
|
private boolean |
isClosed
Keep track of whether an order has been filled or not.
|
private java.util.HashMap<MenuItem,java.lang.Integer> |
items
An order contains items - stored as an array of MenuItem objects.
|
private float |
runningTotal
The total price of an order which must be updated as items are added and removed.
|
private OrderStatus |
status
NEW or PAID.
|
| Constructor and Description |
|---|
Order(Customer c)
Creates a new order for the given customer.
|
| Modifier and Type | Method and Description |
|---|---|
void |
add(MenuItem item,
int quantity)
Add a number of MenuItems to the order.
|
void |
close()
Close the order.
|
int |
get(MenuItem item)
Get the quantity of a particular item on the order.
|
boolean |
getClosed()
Return whether the order has been closed or not.
|
java.lang.String |
getCreationDate()
The date that this order was created, in the format YYYY-MM-DD
|
Customer |
getCustomer()
Returns a reference to the customer.
|
boolean |
getIsCash()
Return whether an order is to be paid in cash or not.
|
OrderStatus |
getStatus()
Returns the status of this order (NEW, or PAID)
|
float |
getTotal()
Get the total price of the items on the order.
|
boolean |
isDelivery()
Returns whether the order is to be delivered or not.
|
void |
remove(MenuItem item,
int quantity)
Remove a number of items from an order.
|
void |
set(MenuItem item,
int quantity)
Set/change the number of MenuItems in an order.
|
void |
setCreationDate(java.lang.String date)
Sets the date this order was created, in the format YYYY-MM-DD
|
void |
setIsCash(boolean cash)
Set whether an order is to be paid in Cash or not.
|
void |
setIsDelivery(boolean deliver)
Sets the delivery status of this order (Whether it is to be delivered or not)
|
void |
setStatus(OrderStatus status)
Marks this order with the given status (NEW or PAID)
|
java.lang.String |
toString()
A string representation of this order.
|
private java.util.HashMap<MenuItem,java.lang.Integer> items
private Customer cust
private boolean delivery
private float runningTotal
private boolean isClosed
private boolean isCash
private OrderStatus status
private java.lang.String createdDate
public Order(Customer c)
c
- The customerpublic Customer getCustomer()
public boolean isDelivery()
public void setIsDelivery(boolean deliver)
deliver
- Whether the order is to be deliveredpublic void add(MenuItem item, int quantity)
item
- A MenuItem object to be added.quantity
- The number of the MenuItem to be added.public void remove(MenuItem item, int quantity)
item
- A MenuItem object to remove from the order.quantity
- The number of items to remove.public void set(MenuItem item, int quantity)
item
- The MenuItem object of which you want to change the number of.quantity
- The number of MenuItem objects the order is to have.public int get(MenuItem item)
item
- The MenuItem of which you want to retrieve the quantity for.public float getTotal()
public boolean getClosed()
public void close()
public void setIsCash(boolean cash)
isCash
- If True an order is paid with Cash.public boolean getIsCash()
public OrderStatus getStatus()
public void setStatus(OrderStatus status)
status
- The status (NEW or PAID)public java.lang.String getCreationDate()
public void setCreationDate(java.lang.String date)
date
- The date this order was created in the format YYYY-MM-DDjava.lang.IllegalArgumentException
- if the date is not in the format YYYY-MM-DDpublic java.lang.String toString()
toString
in class java.lang.Object


Press
Sens. Rand Paul & Mark Warner Introduce the Bonuses for Cost-Cutters Act of 2015
U.S. Senators Rand Paul (R-KY) and Mark Warner (D-VA) today introduced the Bonuses for Cost-Cutters Act of 2015. This bipartisan legislation will empower those on the front lines of federal spending to find efficiencies and improve productivity to return value to the taxpayer in the form of deficit reduction and less government borrowing. Building on the current federal law, the Bonuses for Cost-Cutters Act would allow a U.S. government agency's inspector general to pay a bonus of up to $10,000 … Continue Reading
05.18.15
Sen. Rand Paul Releases Third Edition of ‘The Waste Report’
U.S. Senator Rand Paul today released the third edition to 'The Waste Report,' which is an ongoing project highlighting egregious examples of waste within the U.S. government. The third edition of the 'The Waste Report' exposes thousands of dollars of waste in the U.S. Department of Education. In the coming weeks, the U.S. Department of Education will offer a multi-day writing course designed to teach twenty of their employees how to write an e-mail in the workplace. 'The Waste Report' can be … Continue Reading
05.12.15
Sen. Rand Paul Votes to Release Wrongfully Imprisoned U.S. Citizens in Iran
U.S. Senator Rand Paul issued a statement following the passage of S.CON.RES.16, a concurrent resolution calling for the immediate release of four American citizens unjustly imprisoned in Iran. Among the detainees in Iran is Pastor Saeed Abedini, an American pastor that has been indefinitely imprisoned on account of his religious belief. In November 2013, Sen. Paul was an original co-sponsor of a Senate resolution calling for the government of Iran to immediately release Pastor Abedini. Followi… Continue Reading
05.11.15
Sen. Rand Paul Releases Newest Edition of ‘The Waste Report’
U.S. Senator Rand Paul today released the newest edition to 'The Waste Report.' 'The Waste Report' is an ongoing project to catalog egregious examples of wasteful spending throughout the U.S. government. This week's report uncovers thousands of taxpayer dollars of potential waste in the National Nuclear Security Agency (NNSA). 'The Waste Report' can be found HERE or below. Nuclear Waste: Dep. of Energy's $13K Treadmills The National Nuclear Security Agency (NNSA) of the Department of Energy pu… Continue Reading
05.08.15
TIME Op-Ed: What You Discuss on Your Phone Is None of the Government’s Business
I've long said what you discuss on your phone is none of the government's business, and the Court of Appeals for the Second Circuit agrees. Today, the federal court struck down the government's sweeping, undefined, and illegal war on civil liberties, ruling that it is unlawful for the National Security Agency to collect the bulk phone records of American citizens. The three judge panel slams the overreach of the NSA's limitless metadata collection and privacy intrusion, writing in the opinion … Continue Reading
05.06.15
Sen. Rand Paul Unveils ‘The Waste Report’
U.S. Senator Rand Paul yesterday unveiled 'The Waste Report,' which will identify egregious examples of wasteful spending throughout the U.S. government. Periodically, 'The Waste Report' will highlight a new example of government waste. 'The Waste Report' can be found HERE or below.Medical Waste: Coast Guard Medical VacationsIn February, the Inspector General (IG) for the Department of Homeland Security issued a report documenting a lack of oversight in the Coast Guard's Travel to Obtain Health … Continue Reading
05.05.15
Sens. Paul, Ernst, & Boxer Introduce Legislation to Arm the Kurds in Support of Fight Against ISIS
Today, U.S. Senators Rand Paul (R-KY), Joni Ernst (R-IA), and Barbara Boxer (D-CA) introduced bipartisan legislation to provide for a temporary, emergency authorization of defense articles, defense services, and related training directly to the Kurdistan Regional Government (KRG). Other cosponsors include Senators Lindsey Graham (R-SC), Ron Johnson (R-WI), and Marco Rubio (R-FL). This legislation would allow the U.S. to provide direct assistance to the KRG, a critical partner in the fight agains… Continue Reading
05.04.15
Sens. Paul and McConnell Introduce Bourbon Bill on 51st Anniversary of Congressional Bourbon Resolution
On the 51st anniversary of Congress designating Bourbon as a distinctive product of America, U.S. Senate Majority Leader Mitch McConnell and Senator Rand Paul are introducing legislation which corrects a provision in the tax code to ensure that Kentucky's Bourbon producers are no longer at a disadvantage with their global competitors. Earlier today, Senators McConnell and Paul introduced "The Advancing Growth in the Economy through Distilled (AGED) Spirits Act," which would level the playing fi… Continue Reading
04.30.15
Sens. Paul, Schatz & Rep. Ellison Introduce RESET Act
U.S. Senators Rand Paul (R-KY) and Brian Schatz (D-Hawaii), and U.S. Representative Keith Ellison (D-MN) yesterday reintroduced the Reclassification to Ensure Smarter and Equal Treatment Act of 2015, known as the RESET Act. This bipartisan and bicameral legislation would reclassify specific low-level, non-violent drug possession felonies as misdemeanors, eliminate the distinction between crack and powder cocaine for sentencing, and ensure that food products containing drugs are weighed fairly. R… Continue Reading
04.29.15
Sen. Paul Questions Secretary Jeh Johnson on Data Privacy and Encryption “Backdoors”
U.S. Senator Rand Paul today attended the Homeland Security and Governmental Affairs Committee hearing to question the Secretary of the Department of Homeland Security Jeh Johnson regarding the scope of Fourth Amendment protections for American citizens. During the hearing, Sen. Paul noted that the transition to encrypted data is a market-driven response to the U.S. government's bulk collection of the records of millions of Americans, and reiterated his view that law enforcement should instead … Continue Reading
04.29.15
Sen. Rand Paul Introduces Joint Resolution of Disapproval to Repeal Internet Regulation
Sen. Rand Paul today introduced a joint resolution of disapproval under the Congressional Review Act to nullify Internet regulations recently published by the U.S. Federal Communications Commission (FCC). Through the resolution, Sen. Paul will seek a vote in the U.S. Senate against the FCC's unnecessary and overreaching power grab for control over the Internet. "This regulation by the FCC is a textbook example of Washington's desire to regulate anything and everything and will do nothing more … Continue Reading
04.23.15
Sen. Rand Paul Reintroduces Constitutional Amendment Requiring Congress to Live by the Laws it Passes
Sen. Rand Paul today reintroduced a Constitutional amendment that would hold Congress to the same standard as the American people by requiring all laws to apply to Congress, just as they do to ordinary Americans. The legislation similarly contains two provisions that would apply this same principle of accountability to the Executive Branch and Judicial Branch of the federal government. "I oppose allowing Congress to exempt themselves from any legislation. To that end, today, I reintroduced a Con… Continue Reading
04.21.15
Sens. Paul, Wyden and Rep. Lofgren Introduce Bipartisan, Bicameral Aaron’s Law
Sens. Rand Paul (R-KY) and Ron Wyden (D-OR), and Rep. Zoe Lofgren (D-CA) introduced bipartisan legislation today to better target serious criminals and curb overzealous prosecutions for non-malicious computer and Internet offenses. The legislation, inspired by the late Internet innovator and activist Aaron Swartz, who faced up to 35 years in prison for an act of civil disobedience, would reform the quarter-century old Computer Fraud and Abuse Act (CFAA) to better reflect computer and internet ac… Continue Reading
04.21.15
Sens. Paul, McConnell Introduce FOCUS Act of 2015
U.S. Senator Rand Paul and Senate Majority Leader Mitch McConnell today reintroduced the Freedom from Over-Criminalization and Unjust Seizures (FOCUS) Act of 2015. This legislation removes each and every reference to "foreign law" within the Lacey Act and substitutes the Lacey Act's criminal penalties with a reasonable civil penalty system. The Lacey Act, originally passed in 1900, is a conservation law that attempts to prohibit the trafficking of "illegal" wildlife, fish and plants. It has sin… Continue Reading
04.17.15
Sen. Rand Paul Participates in Bipartisan Panel Discussion on Criminal Justice Reform at Howard University
Sen. Rand Paul yesterday took his conservative message of criminal justice reform to Howard University, a historically black college in Washington, D.C. The panel discussion titled, "From Protest to Politics: A Bipartisan Approach to Criminal Justice Reform" was moderated by Rep. Elijah Cummings (D-MD). Panelists participating in the discussion included: Sen. Cory Booker (D-NJ), Reps. Raul Labrador (R-ID), Hakeem Jeffries (D-NY), and Delegate Stacey Plaskett (D-VI). "The War on Drugs has had a … Continue Reading
04.17.15
Sen. Rand Paul Introduces Defense of Environment and Property Act of 2015
Sen. Rand Paul yesterday reintroduced the Defense of Environment and Property Act of 2015. This legislation will bring common sense back to federal water policy by redefining "navigable waters," exclude ephemeral or intermittent streams from federal jurisdiction, and restrain the powers that the Environmental Protection Agency (EPA) and the Army Corps of Engineers hold over American landowners. "Every year, thousands of property owners across America fall victim to the EPA and Army Corps of Eng… Continue Reading
04.16.15
Sens. Paul, Boxer Introduce Bipartisan “Invest in Transportation Act”
U.S. Senators Rand Paul (R-KY) and Barbara Boxer (D-CA) today introduced bipartisan legislation that would extend the Highway Trust Fund and create jobs. The Invest in Transportation Act of 2015, S. 981, incentivizes companies to bring some of the estimated $2 trillion in foreign earnings that are being held overseas back to the United States. "Our nation's highways and bridges are in desperate need of repair and demand our immediate attention. My legislation with Senator Boxer is a fiscally r… Continue Reading
03.31.15
Sens. Paul, Grassley Introduce Fuel Choice and Deregulation Act of 2015
U.S. Senators Rand Paul (R-KY) and Chuck Grassley (R-Iowa) last week introduced the Fuel Choice and Deregulation Act of 2015. This legislation will remove Environmental Protection Agency's (EPA) impediments to market competition and innovation in America's transportation fuel market. "The EPA's onerous regulation of fuels is artificially limiting options for consumers and producers and preventing the adoption of new fuel options that could benefit our environment, our economy, and our energy se… Continue Reading
03.27.15
Sen. Rand Paul Introduces Amendment to Offset Increased OCO Funding
Sen. Rand Paul today introduced Amendment 992 to S.Con.Res.11, the Budget Resolution. This amendment would pay for the $96 billion of Overseas Contingency Operations (OCO) funding in the budget. That funding is exempted from budget caps and slated to cover ongoing war costs and increased defense spending in the regular defense budget contrary to the 2011 Budget Control Act. "First and foremost, a strong national defense should always be the federal government's main responsibility. I believe C… Continue Reading
03.26.15
Sens. Paul, McConnell, Heller, and Capito Introduce Legislation to Help America’s Rural Communities
U.S. Senate Majority Leader Mitch McConnell introduced legislation today to help rural communities harmed by Obama Administration policies that restrict access to rural lending opportunities. Sens. Dean Heller (R-NV), Shelley Moore Capito (R-WV), and Rand Paul (R-KY) are original cosponsors of the Helping Expand Lending Practices in (HELP) Rural Communities Act, which would provide rural communities with better access to credit opportunities that can help grow their local economies. The Consu… Continue Reading


BTS's Jungkook teases new music as group reveal how they spent their time off
BTS recently took an extended holiday before closing off their Speak Yourself tour in Seoul, South Korea.
But it turns out these boys just couldn’t rest, as both Suga and Jungkook spent their days off working on new material.
That’s right, despite their extremely busy year, taking a break is just not an option for the seven-piece, who recently opened up to Paper Magazine about their time away from the stage.
When chatting to the publication, the boy band were asked what they’d been getting up to.
‘I slept, worked out and went to art museums quite a lot. I went to Jeju Island, Venice, Vienna and Copenhagen,’ RM said, while V added: ‘I took a good rest. It was an eat-play-sleep routine.’
But while V was sleeping, Jimin was doing a lot of time thinking – and we don’t blame him!
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‘I just kept on the move and went to a bunch of places,’ he said: ‘It was an opportunity to think about [the group] in the past and in the future.’
Jin also seemed to have a pretty relaxing time, as he added: ‘I played games at home. I also went fishing with Suga.’
And even though he enjoyed fishing with his bestie, it seems Suga also managed to put time aside to work on some new tunes.
The 26-year-old said: ‘I focused on resting and worked on some songs. It was a time [for] looking back at myself.’
And he wasn’t on his own when it came to getting on with other projects, as J-Hope went to film the music video for Chicken Noodle Soup.
‘I felt and learned a lot of things,’ he said: ‘I can’t call it a rest time, but it was a meaningful time. After that, I came back home, I had good food and rested well. I also played with my puppy.’
Jungkook kept his answer simple, as he confessed: ‘I worked on music.’
Earlier this year, the 22-year-old was crowned the longest-charting male idol on Billboard World’s Digital Song Sales.
The star’s smash hit Euphoria re-entered the charts at number 20, setting a new record for BTS’s solo songs with 22 charting weeks.
Advertisement Advertisement
And that’s not the only thing as Jungkook has broken into the top five Most Streamed Kpop solo songs of all time, at number four.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


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changeLifeAmount(int)
- Static method in class balloonsTowerDefence.
Player
Static method changes the amount of lives the player has
changeMap(FloorGrid)
- Static method in class other.
StateManager
changeMoneyAmount(int)
- Static method in class balloonsTowerDefence.
Player
Static method changes the amount of money the player has if the money can be infact altered with out causeing it to go int to the negatives then it is aletered and true is returned other wise false
checkClick()
- Method in class balloonsTowerDefence.
MainMenu
Called every time the game loops and checks if the user has clicked a button
checkHover()
- Method in class userInterface.
Slider
checkHover()
- Method in class userInterface.
UserInterface.Menu
createMenu(String, int, int, int, int, int, int)
- Method in class userInterface.
UserInterface
createMenu(String, int, int, int, int, Texture)
- Method in class userInterface.
UserInterface
currentTier
- Variable in class balloonsTowerDefence.
MonkeyTower
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A wrapper for extracting functional GO terms enriched in the DE genes, based on the algorithm and the implementation in the topGO package
topGOtable( DEgenes, BGgenes, ontology = "BP", annot = annFUN.org, mapping = "org.Mm.eg.db", geneID = "symbol", topTablerows = 200, fullNamesInRows = TRUE, addGeneToTerms = TRUE, plotGraph = FALSE, plotNodes = 10, writeOutput = FALSE, outputFile = "", topGO_method2 = "elim", do_padj = FALSE )
| DEgenes | A vector of (differentially expressed) genes |
|---|---|
| BGgenes | A vector of background genes, e.g. all (expressed) genes in the assays |
| ontology | Which Gene Ontology domain to analyze: |
| annot | Which function to use for annotating genes to GO terms. Defaults to |
| mapping | Which |
| geneID | Which format the genes are provided. Defaults to |
| topTablerows | How many rows to report before any filtering |
| fullNamesInRows | Logical, whether to display or not the full names for the GO terms |
| addGeneToTerms | Logical, whether to add a column with all genes annotated to each GO term |
| plotGraph | Logical, if TRUE additionally plots a graph on the identified GO terms |
| plotNodes | Number of nodes to plot |
| writeOutput | Logical, if TRUE additionally writes out the result to a file |
| outputFile | Name of the file the result should be written into |
| topGO_method2 | Character, specifying which of the methods implemented by |
| do_padj | Logical, whether to perform the adjustment on the p-values from the specific topGO method, based on the FDR correction. Defaults to FALSE, since the assumption of independent hypotheses is somewhat violated by the intrinsic DAG-structure of the Gene Ontology Terms |
A table containing the computed GO Terms and related enrichment scores
Allowed values assumed by the topGO_method2
parameter are one of the
following: elim
, weight
, weight01
, lea
,
parentchild
. For more details on this, please refer to the original
documentation of the topGO
package itself
#> class: RangedSummarizedExperiment #> dim: 64102 8 #> metadata(1): '' #> assays(1): counts #> rownames(64102): ENSG00000000003 ENSG00000000005 ... LRG_98 LRG_99 #> rowData names(0): #> colnames(8): SRR1039508 SRR1039509 ... SRR1039520 SRR1039521 #> colData names(9): SampleName cell ... Sample BioSampledds_airway <- DESeqDataSet(airway, design= ~ cell + dex) # Example, performing extraction of enriched functional categories in # detected significantly expressed genes if (FALSE) { dds_airway <- DESeq(dds_airway) res_airway <- results(dds_airway) library("AnnotationDbi") library("org.Hs.eg.db") res_airway$symbol <- mapIds(org.Hs.eg.db, keys = row.names(res_airway), column = "SYMBOL", keytype = "ENSEMBL", multiVals = "first") res_airway$entrez <- mapIds(org.Hs.eg.db, keys = row.names(res_airway), column = "ENTREZID", keytype = "ENSEMBL", multiVals = "first") resOrdered <- as.data.frame(res_airway[order(res_airway$padj),]) de_df <- resOrdered[resOrdered$padj < .05 & !is.na(resOrdered$padj),] de_symbols <- de_df$symbol bg_ids <- rownames(dds_airway)[rowSums(counts(dds_airway)) > 0] bg_symbols <- mapIds(org.Hs.eg.db, keys = bg_ids, column = "SYMBOL", keytype = "ENSEMBL", multiVals = "first") library(topGO) topgoDE_airway <- topGOtable(de_symbols, bg_symbols, ontology = "BP", mapping = "org.Hs.eg.db", geneID = "symbol") }


Next week I’m going to start a new job as a data scientist at Twitter and I am thrilled.  Twitter is just so much fun, and I have learned so much from it.
Because my experience has been so good, it saddens me to hear that some people don’t really “get” Twitter. Some people who try it feel frustrated and stop using it. Others use it occasionally but don’t really see what all the fuss is about.
I want to share my approach to using Twitter so that others can try. There are probably other ways to enjoy it, but this approach has worked well for me:
I don’t necessarily follow my friends, and I don’t expect them to follow me. I use Twitter for a limited set of interests, and not all of my friends tweet about those interests.
I generally don’t follow organizations. They tend to tweet too much and their content is often too promotional.
Instead, I follow opinionated people who tweet about a small set of topics that I’m interested in.
I make sure that my tweet stream is slow enough that I can read every tweet. I do this by limiting the number of people I follow and by making sure that I don’t follow people who tweet too much, even if they have good content.
That’s it. Follow opinionated strangers who tweet about topics you are interested in. Maybe you have a different approach that works well for you. But if you are still trying to figure out the incredible appeal of Twitter, you might want to give my approach a shot.


@@include('../assets/tree.html')
@@include('../assets/tree.html')
@@include('../assets/tree.html')
@@include('../assets/tree.html')
@@include('../assets/tree.html')
@@include('../assets/tree.html')
@@include('../assets/tree.html')
@@include('../assets/tree.html')
@@include('../assets/tree.html')
@@include('../assets/tree.html')
We plant 10 trees for every order
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
We plant trees with
@@include('../assets/ecologi-logo.html')


elevator v0.1.0 NetworkHandler
Module for handling and setting up the Node Network, and communication between nodes
State:
- A map with the connected nodes as keys and a backup of the node's elevator state as the respective value.
Tasks:
- Initializes all modules for one computer, broadcasts own IP and listnes, making a Peer-to-peer network of NetworkModules
- Decides the recipient of Hall orders based on a cost function, considering number of orders and distance to order.
- Is responsible for restarting nodes and redistributing orders that are not executed by assigned elevator
Communication:
- Receives from: OrderHandler, WatchDog, (other nodes') NetworkModule(s)
- Sends to: OrderHandler, (other nodes') NetworkModule(s)
Link to this section Summary
Functions
Returns all nodes in the current cluster. Returns a list of nodes or an error message
Examples
iex> NetworkStuff.all_nodes
<EMAIL_ADDRESS><EMAIL_ADDRESS>iex> NetworkStuff.all_nodes
{:error, :node_not_running}
boots a node with a specified tick time. node_name sets the node name before @. The IP-address is automatically imported
iex> NetworkStuff.boot_node "frank"
{:ok, #PID<0.12.2>}
iex(frank@<IP_ADDRESS>)> _
Returns a specification to start this module under a supervisor
Returns (hopefully) the ip address of your network interface.
Examples
iex> NetworkStuff.get_my_ip
{10, 100, 23, 253}
An elevator is chosen for the specific order, using the cost function
Boot Node with name "elev@ip" and spawn listen and receive processes based on UDP
formats an ip address on tuple format to a bytestring
Examples
iex> NetworkStuff.ip_to_string {10, 100, 23, 253}
'<IP_ADDRESS>'
Link to this section Functions
all_nodes()
Returns all nodes in the current cluster. Returns a list of nodes or an error message
Examples
iex> NetworkStuff.all_nodes
<EMAIL_ADDRESS><EMAIL_ADDRESS>iex> NetworkStuff.all_nodes
{:error, :node_not_running}
boot_node(node_name, tick_time \\ 15000)
boots a node with a specified tick time. node_name sets the node name before @. The IP-address is automatically imported
iex> NetworkStuff.boot_node "frank"
{:ok, #PID<0.12.2>}
iex(frank@<IP_ADDRESS>)> _
broadcast_self(socket, recv_PORT, name)
child_spec(init_arg)
Returns a specification to start this module under a supervisor.
See Supervisor
.
cost_function(state, order)
export_order(arg)
get_my_ip()
Returns (hopefully) the ip address of your network interface.
Examples
iex> NetworkStuff.get_my_ip
{10, 100, 23, 253}
handle_cast(msg, state)
An elevator is chosen for the specific order, using the cost function
init(list)
Boot Node with name "elev@ip" and spawn listen and receive processes based on UDP
ip_to_string(ip)
formats an ip address on tuple format to a bytestring
Examples
iex> NetworkStuff.ip_to_string {10, 100, 23, 253}
'<IP_ADDRESS>'


Contact StanLearn
This is the page where you will find our contact details! This page allows you to contact us regarding any trouble you may have using the site, or allows you to suggest new languages for us to implement!
Problem? Email us here:
<EMAIL_ADDRESS>Suggestions? Suggest them here:
<EMAIL_ADDRESS>Or, you can reach us by post! Our building is in the Google Maps image below, and our postcode is as follows:
L3 4AY


Matz is nice so we are nice.
Some parts of this talk are based in part on Ruby in 100 Minutes
This slideshow and all sources and notes can be found on github.


Regularizing CNNs with Locally Constrained Decorrelations (ICLR2017)
12 Mar 2017TL;DR We propose to locally decorrelate the feature weights of CNNs. When the proposed method, which we call OrthoReg, is used to regularize the 40 layers of Wide Residual Networks, we obtain state of the art results on CIFAR, and SVHN. Here is an example of the effects of our local regularizer:
I encourage the reader to continue reading for better understanding of this example.
Deep learning models are becoming increasingly bigger and deeper, beating the state of the art in numerous tasks. But how is it possible to grow these neural net architectures while preventing them from completely memorizing the training data and showing good performances on unseen examples (overfitting)? Although we need to rethink generalization, the current answer to this question includes multiple factors such as having bigger datasets, clever architectures, and good regularization methods. Our work is centered on the latter. Concretely, we focus on those regularization methods that prevent the co-adaptation of feature detectors, thus reducing the redundancy in the models and increasing their generalization power.
Probably, the most popular way to prevent feature co-adaptation is Dropout. However, dropping techniques such as Dropout or DropConnect reduce the capacity of the models, which need to be bigger to compensate for this fact. A least common method for preventing co-adaptation is to add a regularization term to the loss function of the model so as to penalize the correlation between neurons. This idea has been explored several times for supervised learning on neural networks, first with the name of incoherent training, and later as DeCov (Cogswell et al. at ICLR2016).
Although the presented decorrelation methods proved to perform well, they are still far from being commonly used in state of the art models. In part, this is because they were applied to rather shallow models, and it is not clear that the computational overhead introduced by these regularizers in state of the art models will compensate the reduction in overfitting. Our work aims to dissipate these inconveniences by:
- reducing the computational cost by regularizing the network weights,
- increasing the performance margins by imposing locality constraints,
- successfully regularizing all the layers of a state of the art residual network.
Why imposing locality when decorrelating feature detectors? Since a toy is more amusing than one thousand words, please play with the example I provide at the beginning of the post (if you have not already tried it ;) ). Note that although it is a toy example with 2D nice-to-plot features, similar behavior was found in actual CNN features, especially in bottleneck layers, when the number of filters matches their dimensionality. The intuition is that regularizing negatively decorrelated feature detectors is counter-productive. Namely, in the left plot, each dot (feature detector) “tries to be different” from all the other dots, even those which are in the opposite quadrant. We propose to make dots only sensitive to their nearest neighbors, thus increasing the average minimum angle (linear correlation) between all the feature detectors. We achieve this locality by means of a squashing function:
\[C(\theta) = \sum_{i=1}^{n}\sum_{j=1,j\ne i}^{n} \log(1 + e^{\lambda (cos(\theta_i,\theta_j)-1)}) = \log(1 + e^{\lambda (\langle \theta_i,\theta_j\rangle -1)}), \ ||\theta_i||=||\theta_j||=1,\]where $\lambda$ is a coefficient that controls the minimum angle-of-influence of the regularizer, i.e. the minimum angle between two feature weights so that there exists a gradient pushing them apart. Again, a toy is worth a thousand words:
$\log(1 + e^{\lambda (x-1)})$
As it can be seen, when $\lambda \in [7,10]$, the squashing function gradient approximates zero for those features further than $\pi / 2$ (90º). In other words, the regularizer will enforce feature weights to be orthogonal. As a result, the linear correlation between feature detectors will decrease, resulting in better generalization as it can be seen in the following figure:
Note that OrthoReg is able to reduce the overfitting in the presence of Dropout and BatchNorm at the same time. A possible hypothesis for this fact is that different regularizers act on different aspects of the network, exposing how much is still to be explored if we want to comprehend how to reach Deep Learning’s full potential.

We provide the code at github.
Acknowledgements
Thanks to @pepgonfaus, @gcucurull, and Jordi Gonzàlez for their comments and suggestions.