About The Institution
R.M.K College of Engineering and Technology is promoted by Lakshmikanthammal Educational Trust, established in the year 1995 to render philanthropic and educational service to people living in rural areas bordering Tamil Nadu and Andhra Pradesh. The main objective of the trust is to foster quality technical and higher education, research and training in various branches of Engineering and Technology. The college is affiliated to Anna University and is certified under ISO 9001:2015 by TUVNORD, accredited by NAAC with A grade and all four programme are accredited by NBA. Our Institution is ranked --- position in NIRF ranking during the year 2020, --- position in ARIA ranking and ___ SWACHHTA 2019.
About The Department
The Department of Electronics and Communication Engineering was started in the academic year 2008-2009. The department has highly qualified and dynamic faculty members specialized in advanced areas. The department has good infrastructure and it imparts high quality education structured to meet the present day needs. The department received AICTE - CII award for the best industry linked department. The department has extensive interactions with Professional bodies IEEE, ISTE, IET and IEI. ECE department has signed 15 MOUs for industry linkage. The department has established centre of excellence with the support of industries.
The department is regularly organizing Conferences, Symposium, training programs and workshops which will help to update the latest technologies. Many of our faculty members and students filed Patents, Published papers and completed Research and Consultancy projects.
About The Conference
All accepted papers which are presented during the conference will be eligible for submission to Scopus indexed/ Web of Science journals on additional fee payment
Topics of intrest include, but not limited to, the following:
- VLSI Design
- Programmable / Reconfigurable Architectures
- Embedded System Design
- NanoScale computing and nano-electronics
- Power electronics
- Robotics and Industrial automation
- Image and Video Signal Processing
- RF / Microwave / Millimeter wave Communication
- Fibre Optic Communication System
- Wireless and Mobile Communication
- Wireless Sensor Networks
- Computational Intelligence
- Big Data Analytics
- Natural Language Processing
- Human Computer Interaction
- Speech & Signal Processing
- Internet of things
- Cognitive Radio Networks
- Automation
- Remote sensing
- Bio-medical applications
- Virtual & e-Learning
- Social & Smart Networks
- Body Area Networks
- Cryptography & Data Security
- Smart City Applications
- AI & Machine Learning
Our Speakers
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Blanditiis unde, ut sapiente et voluptatum facilis consectetur incidunt provident asperiores at necessitatibus nulla sequi voluptas libero quasi explicabo veritatis minima porro.
Karl Groves
Digital Artist
Sarah Dransner
Business Consultant
Ned Stark
UI/UX Specialist
Michaela Lehr
Digital Marketer
Karl Groves
Digital Artist
Sarah Dransner
Business Consultant
International Committe Members
Prof.Dr.D.Samson
School of CS & IT, DMISJB University, Mangochi, Malawi, Central Africa
Dr.Nedumaran Arappali
Assistant Professor, School of Electrical & Computee Engg, Kombolcha Institute of Technology, Wollo University,Ethiopia
Dr Nehru Kandasamy
Research Fellow, Electrical and Computer Engineering, National University of Singapore
Dr. G. Glorindal B.E, M.E, Ph.D, MCSI, MISTE, AMIE
Head of CS & IT Department, DMI-St. John the Baptist University, Lilongwe MALAWI, Central Africa
Mr. Xavier Antony George Jayaraj
Manufacturing Manager at KLA - Tencor, NUS, Singapore
National Committe Members
Dr. J. Klutto Milleth
Chief Technologist, CEWiT, Chennai
Mrs. V T Kalaiselvi
Technical Officer, All India Institute of Speech and Hearing, Mysore
Dr Nehru Kandasamy
Research Fellow, Electrical and Computer Engineering, National University of Singapore
Dr. G. Glorindal B.E, M.E, Ph.D, MCSI, MISTE, AMIE
Head of CS & IT Department, DMI-St. John the Baptist University, Lilongwe MALAWI, Central Africa
Mr. Xavier Antony George Jayaraj
Manufacturing Manager at KLA - Tencor, NUS, Singapore
Mr. Xavier Antony George Jayaraj
Manufacturing Manager at KLA - Tencor, NUS, Singapore
EVENT SCHEDULE
Here is our event schedule
-
9.00 AM
Breakfast
-
10.00 AM
Advanced SVG Animations
By Karl Groves -
11.00 AM
Presenting Work with Confidence
By Sarah Dransner -
12.00 AM
Keynote on UX & UI Design
By Ned Stark -
1.00 PM
The End
-
9.00 AM
Breakfast
-
10.00 AM
Advanced SVG Animations
By Karl Groves -
11.00 AM
Presenting Work with Confidence
By Sarah Dransner -
12.00 AM
Keynote on UX & UI Design
By Ned Stark -
1.00 PM
The End
-
9.00 AM
Breakfast
-
10.00 AM
Advanced SVG Animations
By Karl Groves -
11.00 AM
Presenting Work with Confidence
By Sarah Dransner -
12.00 AM
Keynote on UX & UI Design
By Ned Stark -
1.00 PM
The End
VENUE
RMK College of Engineering and Technology
RSM Nagar, Gummidipoondi Taluk, Puduvoyal, Thiruvallur, Tamil Nadu 601206
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Registration
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Contact Us
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever
Event Incharge
Dr. T M INBAMALAR
(Professor, RMKCET)
Contact Number
044-67900679, +91<PHONE_NUMBER>
iciecs2021@rmkcet.ac.in


We are working on making Drupal 8 truly API-first: API-first initative.
We are:
Improving Drupal 8's REST API, to become usable (by 8.2.0) and then best-in-class (by 8.3.0). Bringing JSON API support to Drupal 8 core (experimental in 8.3.0).
2026 and there's so much more we'd like to see happen, such as: GraphQL, OAuth 2, UUID/revision support, CouchDB support.
In doing so, we need: frustrations! to hear where Drupal 8's REST support in core (and contrib) is currently failing, in terms of DX, capabilities, and so on. roadmap feedback. (We need to hear what you think is important and why.) help!
We can provide mentoring: if you help out with patches, we'll provide reviews to help you land things in core!
At this core conversation:
We'll start with a succinct overview of what's going on, what has happened so far, and our long-term ambitions. Then we'll open the floor for discussion! When necessary, we'll explain subjects in more detail.
You don't need to be an expert in anything, just rudimentary knowledge about web services is sufficient.
You'll walk away knowing what's happening in the API-first initiative, and will hear about other attendees' concerns/thoughts/requirements/


Enter a numbers separated with "," with no whitespace...
The array:
The number:
Display number frequency


For our project, we aim to design a product that enriches the museum experience for visitors. Finding a personal connection with exhibits is an important part of the museum experience, and access to information is essential to that. Our product will make museums a more engaging and memorable experience for users of all backgrounds.
Two key devices in our product are a hand-held tablet and a pen.
Using the pen, users can tap symbols on walls corresponding to art pieces and collect information on them, thus physically interacting with the museum.
This information is transferred to a paired tablet, where users can view art pieces and take notes using the pen.
When beginning our project, we started with our research phase. We wanted to effectively understand our problem area within art museums. This process included interviews with our target user group, competitive analysis of existing processes, and conducting observations at a local museum.
Once we had a solid foundation of research, we began to synthesize our results by creating our user personas and a user journey map. Throughout this phase, we analyzed our research insights and worked to understand our users’ pain points, desires, and other needs.
After analyzing our research and problem statement, we began to ideate what our possible solutions could be. Through this process, we created a set of design requirements, possible storyboard interactions, and multiple interface designs.
Once settling on our design form factor, we went through the process of developing a paper prototype, preparing an evaluation plan, and conducting a simple evaluation.
In the final stretch of our project, we began to develop wireframes for our screens. After wireframing our system, we began to refine our designs to create our high-fidelity system.


This is the header
Educational Qualifications
University
High School
Working Experience
First Company
Second Company
Third Company
Project
First Project
Second Project
Third Project
Skills
1
Resume


Use The Map!
The #map method in Ruby is quite a useful method for transforming enumerable objects or arrays. Here's what it might look like to use the map method:
Broken down, this is what it does:
It takes an array, does whatever you tell it to "do" (aka runs the block), and returns a new array that has been transformed by what you told it to "do."
Map and Map!
The map method can either give you a result that shows a new array and leaves the original unchanged, or it can transform the original array. By simply writing #map! instead of #map, you would change the original array.
Collect or Map?
The map method and the collect method are apparently two different names for the same method. They both do essentially the same thing, so you can use whichever you prefer.
Real life example (sort of):
So, let's say you have an array that is a list of your favorite Nabisco cookies. You get a weird feeling that you'll be sued by Nabisco if you don't include their name in front of each type of cookie. You decide the best way to do it would be to transform the array with a destructive map (the kind with the ! that changes the original array), so you write a block that puts "Nabisco's" in front of each type of cookie. Boom done.
But really...
More likely you would use the map method in debugging your own code or changing all elements in an array easily. For example, you might want information about an array, like how many even or odd numbers there are. You could use the map or collect method and do that in one line to find out. Or maybe you want to add 1 to each of the numbers in an array because you forgot to account for yourself in a list of class sizes you created. Use the #map! method to transform your original array and leave the rest of your code alone.


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The United National Party turned 70 this week. I thought I'd take a look at their electoral record, for funsies.
The data for this (short) analysis was sourced from Wikipedia. That data was in turn sourced
from Department of Elections PDF files. I didn't cross-check the numbers because this is a
blog and there is no accountability. ¯\_(ツ)_/¯
I'll only be looking at General Election data because that's the only election that matters. :P
| Election | Leader* | Valid Votes | Votes Won | % Votes | Total Seats | Seats Won | % Seats | W/L |
|---|---|---|---|---|---|---|---|---|
| 1947 | D. S. Senanayake | 1,887,364 | 751,432 | 39.81 | 95 | 42 | 44.21 | W |
| 1952 | Dudley Senanayake | 2,327,626 | 1,026,005 | 44.08 | 95 | 54 | 56.84 | W |
| 1956 | John Kotelawala | 2,647,247 | 738,810 | 27.91 | 95 | 8 | 8.42 | L |
| March 1960 | Dudley Senanayake | 3,041,420 | 909,043 | 29.89 | 151 | 50 | 33.11 | W |
| July 1960 | Dudley Senanayake | 3,076,869 | 1,144,166 | 37.19 | 151 | 30 | 19.87 | L |
| 1965 | Dudley Senanayake | 4,046,720 | 1,590,929 | 39.31 | 151 | 66 | 43.71 | W |
| 1970 | Dudley Senanayake | 4,991,798 | 1,892,525 | 37.91 | 151 | 17 | 11.26 | L |
| 1977 | J. R. Jayewardene | 6,243,573 | 3,179,221 | 50.92 | 168 | 140 | 83.33 | W |
| 1989 | R. Premadasa | 5,596,468 | 2,838,005 | 50.71 | 225 | 125 | 55.56 | W |
| 1994 | D. B. Wijetunga | 7,943,706 | 3,498,370 | 44.04 | 225 | 94 | 41.78 | L |
| 2000 | Ranil Wickremesinghe | 8,647,668 | 3,477,770 | 40.22 | 225 | 89 | 39.56 | L |
| 2001 | Ranil Wickremesinghe | 8,955,869 | 4,086,026 | 45.62 | 225 | 109 | 48.44 | W |
| 2004 | Ranil Wickremesinghe | 9,262,732 | 3,504,200 | 37.83 | 225 | 82 | 36.44 | L |
| 2010 | Ranil Wickremesinghe | 8,033,717 | 2,357,057 | 29.34 | 225 | 60 | 26.67 | L |
| 2015 | Ranil Wickremesinghe | 11,166,975 | 5,098,916 | 45.66 | 225 | 106 | 47.11 | W |
A win is when the UNP went on to form a government. This was sometimes done by forming coalitions (e.g. in 1965).
Some Descriptive Statistics
>>> df['% Votes'].describe()
count 15.000000
mean 40.029333
std 7.121773
min 27.910000
25% 37.510000
50% 39.810000
75% 44.850000
max 50.920000
On average the UNP won 40% of the vote, with a fairly low deviation from that norm. The percentage of seats it has won has varied wildly from 8.4% to 83.3% (in the infamous 1977 election), mostly thanks to the winner-takes-all craziness of the First Past The Post electoral system.
>>> df['% Seats'].describe()
count 15.000000
mean 39.754000
std 18.945885
min 8.420000
25% 29.890000
50% 41.780000
75% 47.775000
max 83.330000
Some Interesting Notes
- Sri Lanka, at least electorally, is not a two-party system. The UNP only won the majority of the popular vote on two occasions (1977 and 1989), and both under extraordinary circumstances. In 1977, the country was emerging from an unpopular experiment with a strictly-controlled, statist economy. The 1989 election was held during an extremely violent period of the country's history (more on that below).
- The percentage of the popular vote mattered little in the First Past The Post system. The election was essentially a series of isolated local contests to win a particular electorate. It is even more surprising, then, to see that the UNP has only managed to win absolute majorities in only 3 of the 15 elections we looked at, and only twice under the FPTP system.
-
In the 1947 election, 29.11% of the popular vote and 21 (of 95) seats were won by independent candidates. One wonders how Sri Lankan electoral history would've evolved if Proportional Representation was introduced during this time.
-
1977 remains the UNP's biggest electoral victory. The UNP won 50.92% of the popular vote and a 5/6th majority in parliament. The biggest win ever recorded (in terms of the popular vote) by any party though was 6 years ago, by the UPFA led by Mahinda Rajapaksa, which managed to win 60.33% of the popular vote.
-
Two of the UNP's most celebrated leaders, J. R. Jayewardene and D. S. Senanayake, have both only led a single election each, winning comfortably. J. R. avoided having the election due for 1983 by sneakily holding a referendum to extend the term of the 1977 parliament. D. S. fell off a horse.
-
The term leader becomes a bit muddled (like everything else) after the Executive Presidency is created. In 1989, R. Premadasa was the leader of the UNP but wasn't running for the post of Prime Minister, and after the 1994 election Gamini Dissanayake went on to become the Leader of the Opposition (over Ranil Wickremesinghe, the previous UNP Prime Minister).
-
Ranil Wickremesinghe has led the UNP at 5 General Elections, winning twice. If he leads the UNP at the next General Election, he'll surpass Dudley Senanayake (5 elections, 3 wins) as the UNP leader who's led at the most number of General Elections.
-
In the First Past The Post era, the UNP frequently won the plurality of the total vote, but lost the election thanks to the way electorates and the system was structured. Note the discrepancies between percentage votes and percentage seats, and the drastic reduction after Proportional Representation was introduced in the 80s:
Before PR:
| Election | % Votes | % Seats | % Diff |
|---|---|---|---|
| 1947 | 39.81 | 44.21 | 4.40 |
| 1952 | 44.08 | 56.84 | 12.76 |
| 1956 | 27.91 | 8.42 | 19.49 |
| March 1960 | 29.89 | 33.11 | 3.22 |
| July 1960 | 37.19 | 19.87 | 17.32 |
| 1965 | 39.31 | 43.71 | 4.39 |
| 1970 | 37.91 | 11.26 | 26.65 |
| 1977 | 50.92 | 83.33 | 32.41 |
After PR:
| Election | % Votes | % Seats | % Diff |
|---|---|---|---|
| 1989 | 50.71 | 55.56 | 4.84 |
| 1994 | 44.04 | 41.78 | 2.26 |
| 2000 | 40.22 | 39.56 | 0.66 |
| 2001 | 45.62 | 48.44 | 2.82 |
| 2004 | 37.83 | 36.44 | 1.39 |
| 2010 | 29.34 | 26.67 | 2.67 |
| 2015 | 45.66 | 47.11 | 1.45 |
- The number of valid votes increased from just under 2 million in 1947 to 11 million in 2015. The troughs of 1989 and 2010 are also interesting, because these elections took place under extraordinary circumstances. In 1989, there was a full-blown insurgency ravaging the south, and 2010 was the year after the Sri Lankan Civil War was finally concluded.
Swings
| Election | Vote Swing | Seat Swing |
|---|---|---|
| 1952 | 4.27 | 12.63 |
| 1956 | -16.17 | -48.42 |
| March 1960 | 1.98 | 24.69 |
| July 1960 | 7.30 | -13.24 |
| 1965 | 2.12 | 23.84 |
| 1970 | -1.40 | -32.45 |
| 1977 | 13.01 | 72.07 |
| 1989 | -0.21 | -27.77 |
| 1994 | -6.67 | -13.78 |
| 2000 | -3.82 | -2.22 |
| 2001 | 5.40 | 8.88 |
| 2004 | -7.79 | -12.00 |
| 2010 | -8.49 | -9.77 |
| 2015 | 16.32 | 20.44 |
-
In terms of vote swing (the different in percentage votes between the current and last election), the 'revolution' of 1956 was the UNP's biggest defeat, losing 16.17% of its previous vote share.
-
After the poor showing of 2010, 2015 was (surprisingly) the UNP's biggest gain yet, with a 16.32% increase. It edged out the 13.01% increase of 1977.
-
In terms of seat swing (the different in percentage seats won between the current and last election), 1956 was again the biggest loss (-48.42%). The UNP went from the 54 seats won in 1952 to a mere 8.
-
1977 was the biggest gain at 72.07%. The UNP went from having won 17 (of 151) seats in 1970, to 140 (of 168) seats - J. R.'s infamous 5/6th majority.
Data Viz
Making these graphs in Seaborn took a helluva long time, mostly because I am incompetant. See, I even managed to misspell incompetent.
Here's the code for the vote/seat difference graph:
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
df = pd.read_csv('unp.csv')
sns.set(style="whitegrid", font="Georgia")
plot = sns.barplot(x="Election", y="Diff", data=df, color="forestgreen")
for i in plot.get_xticklabels():
i.set_rotation(90)
sns.plt.show()
And for the Vote Percentage graph:
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
df = pd.read_csv('unp.csv')
df['50 Percent'] = df['Valid Votes'] / df['Valid Votes'] * 50;
df['100 Percent'] = df['Valid Votes'] / df['Valid Votes'] * 100;
sns.set(style="whitegrid", font="Georgia")
# Initialize the matplotlib figure
f, ax = plt.subplots()
sns.barplot(x="100 Percent", y="Election", data=df, label="Valid Votes", color="grey")
sns.barplot(x="50 Percent", y="Election", data=df, label="50% of Valid Votes", color="white")
sns.barplot(x="% Votes", y="Election", data=df, label="Percetage of Votes Won", color="forestgreen")
# Add a legend and informative axis label
ax.legend(ncol=1, loc="upper right", frameon=True)
ax.set(ylabel="Election", xlabel="UNP Share of Votes")
sns.despine(left=True, bottom=True)
plt.show()
And the vote and seat swing graphs:
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
df = pd.read_csv('unp.csv')
sns.set(style="whitegrid", font="Georgia")
df["swingVotes"] = df["% Votes"].diff(1)
df["swingSeats"] = df["% Seats"].diff(1)
# replace swingSeats with swingVotes for vote swing graph
ax = sns.barplot(y="Election", x="swingSeats", data=df, color="forestgreen")
sns.plt.show()
The data I used is in a publicly shared csv file. Consider everything MIT Licensed.


00001
00002
00003
00004
00005
00006
00007
00008
00009
00010
00011
00012 #if !defined( __TKEYS_H )
00013 #define __TKEYS_H
00014
00019 const ushort
00020
00021
00022
00023
00024
00025
00026
00027 kbCtrlA = 0x0001, kbCtrlB = 0x0002, kbCtrlC = 0x0003,
00028 kbCtrlD = 0x0004, kbCtrlE = 0x0005, kbCtrlF = 0x0006,
00029 kbCtrlG = 0x0007, kbCtrlH = 0x0008, kbCtrlI = 0x0009,
00030 kbCtrlJ = 0x000a, kbCtrlK = 0x000b, kbCtrlL = 0x000c,
00031 kbCtrlM = 0x000d, kbCtrlN = 0x000e, kbCtrlO = 0x000f,
00032 kbCtrlP = 0x0010, kbCtrlQ = 0x0011, kbCtrlR = 0x0012,
00033 kbCtrlS = 0x0013, kbCtrlT = 0x0014, kbCtrlU = 0x0015,
00034 kbCtrlV = 0x0016, kbCtrlW = 0x0017, kbCtrlX = 0x0018,
00035 kbCtrlY = 0x0019, kbCtrlZ = 0x001a,
00036
00037
00038
00039 kbEsc = 0x011b, kbAltSpace = 0x0200, kbCtrlIns = 0x0400,
00040 kbShiftIns = 0x0500, kbCtrlDel = 0x0600, kbShiftDel = 0x0700,
00041 kbBack = 0x0e08, kbCtrlBack = 0x0e7f, kbShiftTab = 0x0f00,
00042 kbTab = 0x0f09, kbAltQ = 0x1000, kbAltW = 0x1100,
00043 kbAltE = 0x1200, kbAltR = 0x1300, kbAltT = 0x1400,
00044 kbAltY = 0x1500, kbAltU = 0x1600, kbAltI = 0x1700,
00045 kbAltO = 0x1800, kbAltP = 0x1900, kbCtrlEnter = 0x1c0a,
00046 kbEnter = 0x1c0d, kbAltA = 0x1e00, kbAltS = 0x1f00,
00047 kbAltD = 0x2000, kbAltF = 0x2100, kbAltG = 0x2200,
00048 kbAltH = 0x2300, kbAltJ = 0x2400, kbAltK = 0x2500,
00049 kbAltL = 0x2600, kbAltZ = 0x2c00, kbAltX = 0x2d00,
00050 kbAltC = 0x2e00, kbAltV = 0x2f00, kbAltB = 0x3000,
00051 kbAltN = 0x3100, kbAltM = 0x3200, kbF1 = 0x3b00,
00052 kbF2 = 0x3c00, kbF3 = 0x3d00, kbF4 = 0x3e00,
00053 kbF5 = 0x3f00, kbF6 = 0x4000, kbF7 = 0x4100,
00054 kbF8 = 0x4200, kbF9 = 0x4300, kbF10 = 0x4400,
00055 kbHome = 0x4700, kbUp = 0x4800, kbPgUp = 0x4900,
00056 kbGrayMinus = 0x4a2d, kbLeft = 0x4b00, kbRight = 0x4d00,
00057 kbGrayPlus = 0x4e2b, kbEnd = 0x4f00, kbDown = 0x5000,
00058 kbPgDn = 0x5100, kbIns = 0x5200, kbDel = 0x5300,
00059 kbShiftF1 = 0x5400, kbShiftF2 = 0x5500, kbShiftF3 = 0x5600,
00060 kbShiftF4 = 0x5700, kbShiftF5 = 0x5800, kbShiftF6 = 0x5900,
00061 kbShiftF7 = 0x5a00, kbShiftF8 = 0x5b00, kbShiftF9 = 0x5c00,
00062 kbShiftF10 = 0x5d00, kbCtrlF1 = 0x5e00, kbCtrlF2 = 0x5f00,
00063 kbCtrlF3 = 0x6000, kbCtrlF4 = 0x6100, kbCtrlF5 = 0x6200,
00064 kbCtrlF6 = 0x6300, kbCtrlF7 = 0x6400, kbCtrlF8 = 0x6500,
00065 kbCtrlF9 = 0x6600, kbCtrlF10 = 0x6700, kbAltF1 = 0x6800,
00066 kbAltF2 = 0x6900, kbAltF3 = 0x6a00, kbAltF4 = 0x6b00,
00067 kbAltF5 = 0x6c00, kbAltF6 = 0x6d00, kbAltF7 = 0x6e00,
00068 kbAltF8 = 0x6f00, kbAltF9 = 0x7000, kbAltF10 = 0x7100,
00069 kbCtrlPrtSc = 0x7200, kbCtrlLeft = 0x7300, kbCtrlRight = 0x7400,
00070 kbCtrlEnd = 0x7500, kbCtrlPgDn = 0x7600, kbCtrlHome = 0x7700,
00071 kbAlt1 = 0x7800, kbAlt2 = 0x7900, kbAlt3 = 0x7a00,
00072 kbAlt4 = 0x7b00, kbAlt5 = 0x7c00, kbAlt6 = 0x7d00,
00073 kbAlt7 = 0x7e00, kbAlt8 = 0x7f00, kbAlt9 = 0x8000,
00074 kbAlt0 = 0x8100, kbAltMinus = 0x8200, kbAltEqual = 0x8300,
00075 kbCtrlPgUp = 0x8400, kbAltBack = 0x0800, kbNoKey = 0x0000,
00076
00077
00078
00079 kbLeftShift = 0x0001,
00080 kbRightShift = 0x0002,
00081 kbShift = kbLeftShift | kbRightShift,
00082 kbLeftCtrl = 0x0004,
00083 kbRightCtrl = 0x0004,
00084 kbCtrlShift = kbLeftCtrl | kbRightCtrl,
00085 kbLeftAlt = 0x0008,
00086 kbRightAlt = 0x0008,
00087 kbAltShift = kbLeftAlt | kbRightAlt,
00088 kbScrollState = 0x0010,
00089 kbNumState = 0x0020,
00090 kbCapsState = 0x0040,
00091 kbInsState = 0x0080;
00092
00093 #endif // __TKEYS_H


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UuidRepository Class
Definition at line
16
of
UuidRepository.hpp
Member Functions
const
boost::uuids::uuid&
GetUuid
(
int
id)
const
int
Install
(
const
boost::uuids::uuid& uuid)
Member Variables
std::unordered_map<boost::uuids::uuid,
int
, boost::hash<boost::uuids::uuid>>
uuidMap
std::vector<boost::uuids::uuid>
uuids
Member Function Details
GetUuid Member Function
const
boost::uuids::uuid& cmajor::binder::UuidRepository::GetUuid(
int
id)
const
Definition at line
26
of
UuidRepository.cpp
:
27
{
28
Assert
(
id
>=
0
&&
id
<
uuids
.
size
(
)
,
"invalid uuid id"
)
;
29
return
uuids
[
id
]
;
30
}
Declaration at line
20
of
UuidRepository.hpp
Called by:
cmajor::binder::BoundCompileUnit::GetUuid
Install Member Function
int
cmajor::binder::UuidRepository::Install(
const
boost::uuids::uuid& uuid)
Definition at line
10
of
UuidRepository.cpp
Declaration at line
19
of
UuidRepository.hpp
Called by:
cmajor::binder::BoundCompileUnit::Install
top
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up
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Main-driver LogStream variables (mango.application.main_driver.logstream)¶
Logging objects/attributes for mango.application.main_driver.MainDriverFilter filters.
Attributes¶
- mango.application.main_driver.logstream.log = <mango.core._mango_open_core.LogStream object at 0x7f7204bcf440>¶
Mango logging.
- mango.application.main_driver.logstream.mstLog = <mango.core._mango_open_core.LogStream object at 0x7f7204bcf2f0>¶
Mango logging.
- mango.application.main_driver.logstream.mstOut = <mango.core._mango_open_core.LogStream object at 0x7f7204bcf3d0>¶
Mango logging.
- mango.application.main_driver.logstream.warnLog = <mango.core._mango_open_core.LogStream object at 0x7f7204bcf360>¶
Mango logging.
- mango.application.main_driver.logstream.errLog = <mango.core._mango_open_core.LogStream object at 0x7f7204bcf600>¶
Mango logging.


 Irene was a non-event here in Merry ole Maryland. Of course it was, however, I have been without power since Saturday night at 10pm. This is not at all unusual, my power goes out if it looks like it's going to maybe be cloudy. The reason for this is I live at the end of a peninsula and the vintage 1950 power lines that service my small community run through 12 miles of state forest.
I actually feel like I am more the victim of Delmarva power than the victim of Irene. The embarrassing thing about this is that all of the non-utility companies like Comcast and Verizon have three or four trucks working on the issue on the same pole intrastructure as the power lines use. Delmarva? Nowhere to be seen, it's rediculous.
In anycase, I will be posting some content more relevant to all of you as soon as the power is restored. Right now I am just sitting at a wireless hotspot so that I can check my email - probably a more important communication mechanism to me than my phone.
Hope everyone else made it through as well as we did.
RB


{% extends "base.html" %} {% block content %}
Enter details below keep your system neatly organized.
After creation, you will be able to start adding flashcards.


'The End of the Affair' (1999)
A movie review by Walter Frith
<EMAIL_ADDRESS>Member of the 'Online Film Critics Society' http://www.ofcs.org
Film maker Neil Jordan made one of the most controversial movies of the 1990's. 1992's 'The Crying Game' had a secret revealed by the now late great former movie critic Gene Siskel and Siskel was heavily criticized for revealing it. He said that to make his point he felt it was necessary to give away the secret that was shocking (and in some cases offensive) to many people. Jordan ended up winning an Oscar for the film's original screenplay and stunningly original it was, filled with observations about the IRA, its volunteers and the rash political and sexual overtones of the film's characters. Jordan seemed surprised by winning an Oscar and had to rush up on stage after a quick trip back from the men's room.
Seven years later, Neil Jordan's 'The End of the Affair' feels like you bought an old house, cleaned it out and in the process, found and read the callous diary of an adulteress and you picture it with all of its soap opera type qualities from stories you've read about and seen a thousand times. This isn't such a bad thing but the movie's reasoning that it is great film making is a legend in its own mind. Actor Ralph Fiennes was said to be very upset with the adult rating the film received but that rating is justified as this movie displays acts of sex, violence and repressed feelings taken during and after World War II.
The story of 'The End of the Affair' is based on an early 1950's novel by Graham Greene, allegedly about his own experiences during WW II. Stephen Rea is a government member named Henry Miles and is married to Sarah (Julianne Moore). Writer Maurice Bendix (Ralph Fiennes) is her lover. The Catholic faith is used as a metaphor for the story's hidden range of ideas and any film that combines a dash of religion and heavy doses of adultery during the backdrop of history's darkest time certainly deserves a look. It's just unfortunate that this film tries to use repetition to make a point but makes it in a rather tiresome fashion.
The movie has a point of view from its main characters that is told separately by each one and the perilous, if perhaps co-incidental fate that comes to one of them, is rather pretentious and smells like a theme from the golden age of cinema, unsuitable for many of today's movie buffs, but fitting for others at the same time.
'The End of the Affair' may be too melodramatic for some. It was for me. It had me restlessly shifting in my seat at about half way through but I found it very authentic looking. There are three key scenes that glow with authenticity. The beginning where two of the male leads meet on a dark and rainy English night is ripe with authenticity. The indoor scene at the Miles' residence is lavishly decorated with authentic props for its era. There is also a diner scene where director of photography Roger Pratt takes cues from Neil Jordan and moves his camera to play out the reeling emotions the two lovers have in wrestling with their conscience.
What is disappointing about the film is the performance of Ralph Fiennes. His turns in 1993's 'Schindler's List' which brought him instant fame and stature in motion pictures and a well deserved Oscar nomination, along with his dry and coldly laced Oscar nominated performance in 'The English Patient' seem so memorable compared to his performance here. I don't want to be too hard on him because he is one of the best in the business but he just seems to be saying his lines with all the feelings of a daytime soap opera actor. The same can be said for Julianne Moore. Her performance is better but is still one character we've seen played over and over again with many of the similar qualities of past adulteresses.
Neil Jordan's direction is inventive at times, stiff at times and too heavy handed in many places for me to recommend it but there is an old saying that goes: "The only thing new is the history you don't know". 'The End of the Affair' isn't a new theme, it's a film with a historical past seen too often in motion pictures and is wearing thin at the start of a new century.
OUT OF 5 > * * 1/2
Visit FILM FOLLOW-UP by Walter Frith http://www.cgocable.net/~wfrith/movies.htm
* * * * * - a must see * * * * 1/2 - don't miss it * * * * - an excellent film * * * 1/2 - a marginal recommendation * * * - can't quite recommend it * * 1/2 - don't recommend it * * - avoid it * 1/2 - avoid it seriously * - avoid it AT ALL COSTS 1/2 - see it at your own risk zero - may be hazardous to your health
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


The enormous amount and diversity of applications found in Higher Education makes managing it quite a feat. Separating the application from its underlying components and viewing things from a layered perspective, there’s the application itself, user workspace, storage, operating system and hardware (Dell, HP, Thin clients like Wyse) to name most of them. Unfortunately all the hype is centered on Virtual Desktop Infrastructure (VDI) and “Green IT” that Managers seem to be convinced that virtualizing their desktop environment would also solve their application layer problems, but would it? What are the problems affecting traditional software installations? What are the challenges of the “new” model?
Shortcomings of the “traditional” model
- Application incompatibilities: The more applications installed on a machine, the higher the possibility of application incompatibilities due to varying pre-requisites in some cases. An example would be two different apps requiring different versions of java or one application overwriting a Dynamic Link Library (dll) file used by a previously installed app.
- Patching or upgrading apps: Unless the infrastructure is already in place to update or patch the installed apps, reimagining the computers to apply an upgrade is the optimal way. Even with a solution that pushes out updates or patches, a tremendous amount of regression testing is needed before deploying the new image.
- Failure to run different versions of the same application: Corporate America might not view this as a major obstacle, but in Higher Education there’s a need to run multiple versions of the same application to ease the transition for users. Running multiple versions of the same application helps in training users on the new version and reaching a certain comfort level before retiring the older version. At times there’s also a need to keep an older version because some of the available textbooks still refer to it.
What is Application Virtualization?
The concept of virtualization can be traced back to the idea of “time sharing” coined by Christopher Strachey in the early 1960s. Strachey was referring to multi-programming where one user would be working on a program while the other would be debugging another program concurrently. Application Virtualization is the abstraction of the underlying layer, the Operating System (OS), and is accomplished by tricking the application into believing that it’s residing and interacting directly with the OS, when in fact it’s running in its own isolated virtual environment.
Virtualized applications can run in one of two environments:
1. Clients machine thus using local resources.
2. Terminal Server (TS) where processing cycles are provided by the server and the end user establishes a remote session.
What can Application Virtualization do for me?
The majority of the problems discussed above regarding the application layer can be resolved through application virtualization.
Since the virtualized apps run in their own sandboxed environment, each app “believes” that it’s running on its own in the OS thus application incompatibilities don’t arise.
In addition because of this “bubble” environment, each application can be bundled with all its prerequisites thus allowing the end user to run multiple versions of the same software on the same machine. Some institutions used application virtualization to provide Microsoft Office 2003 and 2007 simultaneously. During the fall semester, Office 2003 was setup as the default suite while Office 2007 was available for access to anyone who’s interested. Then in the spring semester, Office 2007 became the default suite while Office 2003 remained for those who still haven’t made the transition.
Since applications are locally installed on the computer, upgrading or patching an app becomes a matter of repackaging the app and distributing it to the clients using the means available. SPSS, a statistical application, came out with a critical patch and through application virtualization, the packaged app was upgraded and access to it was quickly provided.
Furthermore, the modular/layered approach of decoupling the apps from the OS will allow the IT Manager the freedom of investigating solutions to better manage the other layers without the hassle of trying to find a non-existent solve all type of solution. Based on the vendor and application virtualization solution in place, some of the added benefits are the centralization of software distribution, application usage statistics, license management, and the ability to manage application access and authorization.
Prior to application virtualization, one of the major obstacles to Server Based Computing (SBC) is offline use. The majority of the existing application virtualization solutions handle offline use by streaming and caching the application locally or by creating a complete self-encompassed package that can run with no strings attached.
Application Virtualization and its Challenges
Any new system has a learning curve and some shortfalls and application virtualization is no different.
-
Virtual App, maybe not!
Before jumping into application virtualization the main takeaway is that no matter what vendor/solution is chosen, not all applications can be virtualized. Similar to server virtualization where its inadequate in some instances and a physical server might be required, some apps have to be installed and can’t be virtualized. Those are mainly the apps dealing with system level drivers or in some cases COM+ objects. For example, Zoomtext, an Ai Squared product used for screen magnification can’t be virtualized at this point due to its manipulation of the video drivers. Hence, the move to application virtualization will still require maintaining an existing software distribution solution to manage the apps that can’t be virtualized unless the apps can be bundled with the image. -
Vendors and license agreements
The added benefits of license management, application usage stats and the centralization of application distribution will necessitate a revision of some license agreements and possibly a reduction in the number of licenses in other cases. A good amount of the software vendors either aren’t aware of application virtualization or haven’t adjusted their licensing models to take it into consideration. So, when trying to get the optimal amount of licenses or renegotiating a license agreement, things might get tricky dealing with the vendor. Also, some vendors have different licenses thus pricing to run their software on TS. Hence, when putting a budget together for an application virtualization deployment, its vital to decide what apps will be offered how. -
Complexity and training
End Users
If the virtual app is running locally on the end users machine, training is quite minimal or even non-existent. Whether an application is virtual or locally installed, all the average user cares about is whether the app is launched when he/she double clicks on the shortcut. Some training is needed in case a laptop is involved and offline access to an app is required. In that case, the user would need to locally cache the app before going offline. If on the other hand the virtual app is hosted on a TS and connecting to a remote session is new to your environment, some training might be needed.
IT Admins
Based on the size of the institution and the number of applications being virtualized, a full time employee is needed to package the apps and keep things updated. Again based on the purchased solution, new infrastructure will be needed mainly composed of application servers, database server, and management console taking into consideration redundancy and load balancing. Other solutions allow you to create the virtual app and use an existing software distribution solution. In those cases, there’s very minimal overhead to maintain. Personally, the biggest challenge is finding resources and experts on the subject matter, but I have to admit that in the past two years application virtualization adoption has grown tremendously and so has the number of experts and consultants. -
Faculty Buy-In
Apart from the technical challenges, faculty buy-in is key in any successful implementation. -
Service Name vs. Product Name When marketing the project at your institution I recommend not using the product name for the provided service. Vendors get sold, products get renamed and it will create a lot of confusion when the service keeps getting a name change.
-
Workflow and software ordering
Application virtualization doesn’t necessarily mean centralizing software distribution but in case that’s the chosen route, then a reevaluation of software ordering, distribution, assignment, updating, and license negotiating processes would need to be adjusted and possibly a new workflow established.
Some Possible Solutions
The major players in this field in alphabetical order are:
-
Citrix XenApp
XenApp, similar to Microsoft’s App-V is an agent-based solution that offers client and server side application virtualization. In addition, with the new release of XenApp, if an app can’t be virtualized it can be installed on a Virtual Machine (VM) and access to it provided to the end user. In my opinion, that’s a sign of product maturation by accepting the fact that not all apps can be virtualized and providing a solution. Again, similar to App-V, the application is streamed and cached on the client, be it an end user machine or a server thus coping with the offline use dilemma.
One of the major complaints Citrix Admins had, were the TS silos. The TS silos were a result of app compatibility and the need to have separate server farms housing different applications, but with the advent of application virtualization, the silo effect has been mitigated.
XenApp also provides a SBC component by using a proprietary remote session protocol known as Independent Computing Architecture (ICA). -
Microsoft App-V
In July 2007, Microsoft acquired Softricity, a company with a product called Softgrid thus entering the application virtualization market. The current product is known as Microsoft Application Virtualization or App-V for short and is part of Microsoft Desktop Optimization Pack (MDOP) offered through Software Assurance.
App-V is an agent-based solution that offers client-side and server-side application virtualization. Once an application is “sequenced” (virtualized) and is assigned to a group of users (assigning an app to a group of computers would require Microsoft’s System Center Configuration Manager), the necessary files needed for the initial app launch can be streamed using the Real Time Streaming Protocol (RTSP) or RTSPS to the end user machine and cached locally.
In case of Server Based Computing (SBC) where the App-V client is installed on a TS, the end user would use a web portal to authenticate and launch an application be establishing a remote desktop session to the server. -
VMware ThinApp
VMware acquired Thinstall to add application virtualization to its repertoire. Unlike XenApp and App-V, ThinApp is an agent-less solution that has an embedded virtual OS along with the packaged app. ThinApp doesn’t have an application streaming or distribution mechanism. The packaged app is self-sufficient and can be pushed out just like any other file. As opposed to XenApp and App-V, ThinApp doesn’t need an infrastructure or an agent, but it doesn’t provide any means to distribute the virtual app.
There are a multitude of vendors operating in the application space and have an entire suite of apps to handle the additional layers (hardware, OS, user workspace, storage) too. Citrix, to name one, has the XenDesktop product for a Virtual Desktop Infrastructure (VDI) solution or Symantec with their suite. So, before jumping on the VDI curve of “inflated expectations”, I suggest that this be treated just like any other major project by assessing the needs, test by virtualizing the main enterprise apps and look into a phased implementation.
In conclusion, it’s not a question of virtualizing the apps or not, it’s a question of what solution works best for your environment.


[landSec02Intro]
[landSec02Descr]
Who wants to feel bad after a couple of minutes on social media? To heck with that. People deserve better.
Jason Irwin
@matigo[landSec03Intro]
[landSec03Descr]
[landSec03Feat01]
[landSec03Feat02]
[landSec03Feat03]
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--- title: "Beach day" date: 2018-05-12 tags: [portugal] ---
Definitely NOT a work day! Ate a delicious Sam-cooked breakfast before heading out on a Sam-planned adventure. We rented a car (relatively cheap!) and drove south across the bridge to Praia de Baleeira, a remote, rocky beach with a windy and not entirely straightforward descent. Day was gorgeous. Once we got down to the bottom there were a bunch of scuba divers. There were some remnants of old buildings that we couldn’t figure out the purpose of. Next stop was another, even more scenic (but somewhat more crowded sandy beach called Rebiera Do Cavalo Beach where we picnicked, lay on the sand, and briefly hopped in the water.
Also made another stop in the nearby resort town, where we went a largely unremarkable walk, except for the excellent long jumping platform we discovered. On the way back to town we went to Ponto Finale, a restaurant with a gorgeous view of the city, where we had a couple of soups while sitting next to the water. A long discussion of quantitative and qualitative research and economics’ place in social science ensued.
file:///Users/pbaylis/Downloads/Portugal%20Trip%20Log/images/image30.jpg


Angular Mastery Course
Mainly we do trainings on Typescript, Angular & RxJS.
Typescript3
Typescript is superset of Javascript. Since Angular is written in Typescript itself, understanding Typescript is very crucial.
Angular8
Angular is an app-design framework and development platform for creating efficient and sophisticated single-page apps.
RxJS6
RxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous code.


JS Runner - CTH V.0.0.1 C Tech Hindi provide JS Runner for execute real-time javascript code on active tab site with microsoft vs editor.


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{% extends "base.html" %} {% block content %} Error We're sorry, but something bad happened. {% endblock content %}
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We aggregate tables!
- orchestrate user-centric networks
- benchmark B2C relationships
- recontextualize open-source methodologies
- e-enable extensible action-items
- optimize rich infrastructures
- extend one-to-one partnerships
- matrix extensible functionalities
- drive integrated methodologies
- aggregate impactful interfaces
- reinvent bricks-and-clicks content


Fault Injection for Service Fabric Hackathon Starter
#Fault Injection for Service Fabric Hackathon Starter
Service uptime is one of the most important metrics for any application. Users are quick to switch if they cannot have access 24/7. Azure Service Fabric is a platform designed to make it easy to package, deploy and scale reliable applications. You have been tasked with improving availability for the hackathon starter app.
Prerequisites
Tasks Overview
-
Get the source code for the Hackathon starter - in this task we will go through pulling down the hackathon source code and testing it locally.
-
Prepare the Hackathon Service Fabric package - in this task we will go through the steps required to create a deployment package for the hackathon starter app.
-
Set up MongoDB - in this step we’ll set up a MongoDB instance in Azure.
-
Deploy the Service Fabric package to a windows cluster - in this step we will deploy the actual service fabric package to Azure.
-
Run some tests against the cluster - In this step we’ll go through some basic tests you can run against an Azure Service Fabric cluster.
Task 1: Get the source code for the Hackathon starter.
Step 1. Open and command prompt of your choice which has support for git
Step 2. Navigate to your chosen working directory
cd "C:\dev\repos"
Step 3. Firstly, we want to clone the Hackathon starter repository and install our dependencies.
# Get the latest snapshot
git clone --depth=1 https://github.com/sahat/hackathon-starter.git hackathon-starter
# Change directory
cd hackathon-starter
# Install NPM dependencies
npm install
Step 4. We need to make sure MongoDB is running before we try and start the application. Open a second command prompt and run the following command
mongod
If MongoDB is not on the path on Windows it will fail to start.
You can lauch it directly, the default installation directory is
C:\Program Files\MongoDB\Server\3.2\bin
You may receive the following error:
Data directory C:\data\db\ not found., terminating
This means you need to create a ‘data’ folder on whatever drive you’re running the CMD instance on, with a sub folder of ‘db’. MongoDB uses this location to store the database.
Step 5. Lets try run the application locally.
node app.js
Step 6. In your browser, navigate to http://localhost:3000/
Task 2: Prepare the Hackathon Service Fabric package.
Step 1. Create a new folder that we will use to package the Hackathon application in. For example -> C:\release
Step 2. Let’s set up the package structure required by Service Fabric.
Firstly in the package root folder we want to create a new folder called NodeService
eg C:\release\NodeService
Step 3. Now add another file to the package root directory (C:\release
) called ApplicationManifest.xml and add the following to the file.
<?xml version="1.0" encoding="utf-8"?>
<ApplicationManifest xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ApplicationTypeName="NodeAppType" ApplicationTypeVersion="1.0" xmlns="http://schemas.microsoft.com/2011/01/fabric">
<Parameters>
<Parameter Name="Website_InstanceCount" DefaultValue="-1" />
</Parameters>
<ServiceManifestImport>
<ServiceManifestRef ServiceManifestName="NodeService" ServiceManifestVersion="1.0" />
</ServiceManifestImport>
<DefaultServices>
<Service Name="NodeServiceService">
<StatelessService ServiceTypeName="NodeService" InstanceCount="[Website_InstanceCount]">
<SingletonPartition />
</StatelessService>
</Service>
</DefaultServices>
</ApplicationManifest>
Step 4.
In the NodeService folder create the following ServiceManifest.xml file (C:\release\NodeService\ServiceManifest.xml
), this file should have the following contents inside.
<?xml version="1.0" encoding="utf-8"?>
<ServiceManifest xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" Name="NodeService" Version="1.0" xmlns="http://schemas.microsoft.com/2011/01/fabric">
<ServiceTypes>
<StatelessServiceType ServiceTypeName="NodeService" UseImplicitHost="true">
<Extensions>
<Extension Name="__GeneratedServiceType__">
<GeneratedNames xmlns="http://schemas.microsoft.com/2015/03/fabact-no-schema">
<DefaultService Name="NodeServiceService" />
<ServiceEndpoint Name="NodeServiceTypeEndpoint" />
</GeneratedNames>
</Extension>
</Extensions>
</StatelessServiceType>
</ServiceTypes>
<CodePackage Name="C" Version="1.0">
<EntryPoint>
<ExeHost>
<Program>node.exe</Program>
<Arguments>app.js</Arguments>
<WorkingFolder>CodePackage</WorkingFolder>
</ExeHost>
</EntryPoint>
</CodePackage>
<Resources>
<Endpoints>
<Endpoint Name="NodeServiceTypeEndpoint" Protocol="http" Type="Input" Port="3000"/>
</Endpoints>
</Resources>
</ServiceManifest>
Step 5. Inside the NodeService folder, create a folder called C (C:\release\NodeService\C
). This will store the code for our node application.
Step 6. Inside the NodeService folder, create a folder called config (C:\release\NodeService\config
) You should now have the following folder and file structure:
|-- ApplicationPackageRoot
|-- NodeService
|-- C
|-- config
|-- ServiceManifest.xml
|-- ApplicationManifest.xml
Step 7. We need to bundle node and the Hackathon Starter code within our self contained Service Fabric package.
Grab the node.exe from whatever location shows up and copy it to a new deployment folder. For the example below we’re using xcopy "from/here" "to/here"
Note that the
where
command is only available in the Windows CMD prompt and not when using PowerShell
where node.exe
xcopy "C:\Program Files\nodejs\node.exe" "C:\release\NodeService\C"
xcopy "C:\dev\repos\hackathon-starter\*" "C:\release\NodeService\C" /s /i
Alternatively you can use the linux commands which nodejs
then cp from to
which nodejs
cp node/location/node.exe /release/NodeService/C/
cp -a /repos/hackathon-starter/. /release/NodeService/C/
You should now have the following folder and file structure: |– ApplicationPackageRoot
|-- ApplicationManifest.xml
|-- NodeService
|-- C
|-- Hackathon application files (the ones you got from Github)
|-- node.exe
|-- config
|-- ServiceManifest.xml
Task 3: Set up our Azure MongoDB instance.
Step 1. Navigate to the Azure portal and select ‘New’
Step 2. Search for ‘MongoDB’ and select the ‘Database as a service for MongoDB’, published by Microsoft.
Step 3. On the next promp, scroll down to the bottom and hit ‘create’.
Step 4. On the next screen specify all the required configuration values as seen below. You may need to accept that you are using a preview service if you haven’t used this particular service before. Note you will need to find an available ID as some names may already be taken. Also create a resource group which ties to this lab (e.g. hackathon-sf).
Step 5. Navigate to the main resource group list and locate the group you just created. In the example above we used the name ‘hackathon-sf’.
Step 6. Now we want to grab the connection string. Select ‘Connection String’ and copy down the value supplied somewhere for the next step.
Step 7. Navigate back to the hackathon solution Service Fabric package and open the C:\release\NodeService\C\.env.example
file
At the top of the file you will see two environment variables set ‘MONGODB_URI’ and ‘MONGOLAB_URI’. We want to change the values set to be the connection string we pulled from Azure in the previous step.
For example:
MONGODB_URI=mongodb://hack-db:qC9Hhe3Gk...==@hack-db.documents.azure.com:10250/?ssl=true
MONGOLAB_URI=mongodb://hack-db:qC9Hhe...==@hack-db.documents.azure.com:10250/?ssl=true
...
Task 4: Deploy the Service Fabric package to a windows cluster.
Let’s deploy to a Windows cluster in Azure.
Step 1. First things first, let’s create a Service Fabric container for our Hackathon starter site.
Navigate to the Azure portal and select ‘New’ -> https://ms.portal.azure.com
Step 2. Search for ‘Service Fabric Cluster’ then select the top option.
Step 3. Select the ‘Create’ button at the bottom of the ‘Service Fabric Cluster’ window.
Step 4. Fill out the basics required. Note: ensure you add a unique cluster name as some common ones may already be taken.
Select a secure user name and password combination.
Select the subscription and resource group that applies to this lab.
Step 5. Here we only have one node type. We want to give this node type a name and allocate a machine size. We can set the initial VM scale as well.
Add the custom endpoint of 3000 as this is the default port that the app is hosted on.
Step 6. For demo purposes we will use the insecure setting as there are quite a few steps involved in setting this up in Azure. If you want more information visit https://azure.microsoft.com/en-us/documentation/articles/key-vault-get-started/.
It is strongly advised to use the secure mode in production.
Step 7. Check over the settings one last time and ensure everything looks OK. Once you have validated the settings select ‘Create’.
Step 8. On the Azure dashboard, we can now see that the Service Fabric Cluster is being set up. This may take some time.
After it has successfully deployed you may see the following on the Azure dashboard.
In some instances as the Service Fabric Cluster provisions the portal may automatically open the blade for you
Note: You must wait until the status listed for your cluster is Ready otherwise the next step will fail.
Step 9. Select the Hackathon cluster, then select ‘Custom fabric settings’. Add a new value for the EseStore with the parameter MaxCursors and the value 65536. This is to ensure our node modules folder will be able to be registered correctly. Service fabric currently has a hard limit on the amount of files and will timeout if this value is not increased. Ideally you should have a build task that minifies and concatenates all your vendor dependencies. This may take some time to complete as it needs to propagate across the scale set.
Note: You must again wait until the status listed for your cluster is Ready otherwise the next step will fail. This can take a very long time.
Navigate back to the ‘Overview’ section inside the service fabric cluster. Then copy the ‘Service Fabric Explorer’ link and paste it in your browser of choice.
Step 10. This is the Azure Service Fabric Explorer.
Step 11. OK, now Azure is ready we need to push up the Hackathon starter solution. Open up PowerShell in administrator mode.
Firstly we want to connect to the cluster.
Connect-ServiceFabricCluster [your-server-cluster-address].[location].cloudapp.azure.com:19000
Note: ensure the address does not have https:// and must specify port 19000 - eg. hackathon.westcentralus.cloudapp.azure.com:19000
Step 12. Now we want to upload the application package to the cluster.
Copy-ServiceFabricApplicationPackage -ApplicationPackagePath 'C:\release' -ImageStoreConnectionString 'fabric:imagestore' -ApplicationPackagePathInImageStore 'Apps\Hackathon' -TimeoutSec 600
Step 13. Then we want to register the application type in our cluster.
Register-ServiceFabricApplicationType -ApplicationPathInImageStore 'Apps\Hackathon' -TimeoutSec 600
Step 14. Now we want to create a new Service Fabric application.
New-ServiceFabricApplication -ApplicationName 'fabric:/Hackathon' -ApplicationTypeName 'NodeAppType' -ApplicationTypeVersion 1.0
Step 15. Go back to the Service Fabric dashboard and check to see if the application has deployed successfully.
http://[your-server-cluster-address].[location].cloudapp.azure.com:19080/Explorer/index.html#/
Step 16. Now let’s see if the application is also running. Navigate to http://[your-server-cluster-address].[location].cloudapp.azure.com:3000 and you should see the following screen.
Task 5: Run some tests against the cluster.
Now let’s cause some mayhem. Service Fabric provides a ‘chaos’ scenario that will causes faults across the entire Service Fabric cluster.
“The chaos test scenario generates faults across the entire Service Fabric cluster. The scenario compresses faults generally seen over months or years to a few hours. The combination of interleaved faults with a high fault rate finds corner cases that would otherwise be missed.”
Step 1. Run the following commands in PowerShell.
Firstly we want to connect to the cluster (note you may already be connected) Connect-ServiceFabricCluster [your-server-cluster-address].[location].cloudapp.azure.com:19000
Now for the core of the script. Specify a desired time to run (the below example will run for 10 minutes)
$timeToRun = 10
$maxStabilizationTimeSecs = 180
$concurrentFaults = 3
$waitTimeBetweenIterationsSec = 60
Invoke-ServiceFabricChaosTestScenario -TimeToRunMinute $timeToRun -MaxClusterStabilizationTimeoutSec $maxStabilizationTimeSecs -MaxConcurrentFaults $concurrentFaults -EnableMoveReplicaFaults -WaitTimeBetweenIterationsSec $waitTimeBetweenIterationsSec
Step 2. While the test scenario is running you should be able to see errors occurring in the Service Fabric Explorer.
Step 3. If we want to run some specific failures you can get a list of possible testability actions from here -> https://azure.microsoft.com/en-us/documentation/articles/service-fabric-testability-actions/
Let’s simulate a Service Fabric cluster node failure by stopping a node. To do this we will need to find the name of a node to test.
Now that we have the node name of “_app_1” we can run our test.
Step 4. Run this sample in PowerShell
Connect-ServiceFabricCluster [your-server-cluster-address].[location].cloudapp.azure.com:19000
Stop-ServiceFabricNode -NodeName "_app_1"
Step 5. If you want to turn the node back on use the following command.
Start-ServiceFabricNode -NodeName "_app_1"
Step 6. We can try another test scenario included in the Service Fabric SDK. This is the ‘fail-over test scenario’.
“The failover test scenario targets a specific service partition instead of the entire cluster, and it leaves other services unaffected. The scenario iterates through a sequence of simulated faults in service validation while your business logic runs. A failure in service validation indicates an issue that needs further investigation. The failover test induces only one fault at a time, as opposed to the chaos test scenario, which can induce multiple faults.”
Connect-ServiceFabricCluster [your-server-cluster-address].[location].cloudapp.azure.com:19000
$timeToRun = 10
$maxStabilizationTimeSecs = 180
$waitTimeBetweenFaultsSec = 10
$serviceName = "fabric:/WebApp/WebAppService"
Invoke-ServiceFabricFailoverTestScenario -TimeToRunMinute $timeToRun -MaxServiceStabilizationTimeoutSec $maxStabilizationTimeSecs -WaitTimeBetweenFaultsSec $waitTimeBetweenFaultsSec -ServiceName $serviceName -PartitionKindSingleton
We can again see in the portal the actual instances being tampered with in the Service Fabric Explorer.
In this lab you have learned how to set up and deploy a node application to service fabric. You have also learned how to set up MongoDB in Azure with ease. You then ran some tests to ensure your infrastructure could handle some potential hosting issues - like nodes randomly restarting and going off-line. This would help with finding potential bottlenecks and fixing them before you release your application.


|
LSU Law Center in Baton Rouge, Louisiana. She teaches mass media, computers and law and research methods
|
The stunning series of body blows delivered to the American body politic by the courts and elected officials responding to the debacle of the 2000 presidential election in Florida may now be grinding to a close as the United States Supreme Court, in a closely divided opinion, essentially said that time had run outthat there was no time to fix the recount problems. There will be a new President but many will forever doubt that he actually received the most votes in Florida. There will be many attempts to explain what went on in this ill-starred election. One recurrent theme will undoubtedly be how far-fetched and unlikely it all was. "Nobody could have foreseen this." Aaron Sorkin, creator of The West Wing, was recently quoted as saying that if he had created a show with this plot, he couldnt have sold it "to the fantasy channel." Yet, Hollywood, perhaps because it combines an infinite imagination with a willingness to assume both the best and the worst about human behavior, has managed not only to predict something similar to this morass but also to foreshadow a number of other political and other disasters. It turns out the entertainment industry has been writing scripts that presage the 2000 election since at least 1948. In that year John Huston filmed Key Largo (script by journalist Maxwell Anderson), which explains Florida election politics succinctly.
Hollywood both draws from real events and weaves fantasy extrapolations in ways which have presaged the future. For example, the same corruption scandals which plague real politics have already been scripted in a number of films. A Lion is in the Streets (1953) in which a barefoot boy from the bayou rises to political prominence, is based on a novel by Adria Locke Langley. Lion doesnt simply echo Huey Long; it predicts some of the accusations leveled against bayou-born Edwin Edwards, 4-time governor of Louisiana, who was finally convicted of a crime after the governments fourth attempt. And it looks as though hell get a new trial on that case, based on a recent U.S. Supreme Court ruling. The South will rise again. In 1979's The China Syndrome Hollywood postulated that corruption in the nuclear power industry could cause an atomic meltdown. Three Mile Island made the meltdown, if not the reason, come true. 1990's By Dawns Early Light suggested that the presidential succession statute might lead to an unprepared Cabinet member (the Secretary of Agriculture) becoming President and then refusing to give up power. That succession statute has received a much higher level of popular scrutiny since newscasters and politicians have speculated on who might take over in January if neither Bush nor Gore wins the election outright. Of course, much of the scandalous material that underlies films like these comes from the wealth of underground knowledge that insiders of any profession have and are willing, for a price, to reveal. Coupled with the "what if" scenarios beloved of many of us, this knowledge leads to exciting but theoretically unbelievable stories. Consider the comments of NPR reporter Bob Mondello. "Two politicians locked in a battle that is, as Dan Rather might say, 'tighter than Spandex.' The popular vote goes one way, the Electoral College is leaning the other and the whole shebang hinges on a single state. Not a bad Hollywood setup as these things go....But just then ... the screenwriter adds about five too many plot twists... He has to make the governor of that state the brother of one of the candidates, like anyone's going to believe that. And then he puts that brother's candidate ahead by a razor-thin margin, then he adds a recount...on top of which he piles questions about the way the ballot was laid out...[and] missing ballot boxes. And just to complicate things... he throws in a newly elected Congress divided so evenly that you'd have to be a soothsayer to guess how things would come out. I mean, come on... Talk about the tail wagging the dog..." (ALL THINGS CONSIDERED (9:00 PM ET)November 10, 2000, Friday).  The story was unbelievable until the Monica Lewinsky story bewitched us. This film plays with our perceptions of reality, suggesting that politics, like the moon landing (Capricorn One), not only can be but is created for the benefit of its practitioners (shades of Platos Cave!) Small wonder that large parts of our population believe in conspiracies surrounding the deaths of JFK, Martin Luther King, Jr., and Princess Diana (see link) Increasingly, the line between media fantasy and what passes for reality almost seems to blur. Coverage of real trials, such as the trial of O.J. Simpson, are presented as media spectacles competing with television judges such as Judge Judy (now theres a judge who really knows how to cut to the chase and get things done). Recent coverage of the election 2000 lawyers have sometimes treated them almost like sports figureseven going so far as to compare their "won-lost" records. Remember, on any given Monday, any legal team can beat any other legal team. In a world where Ronald Reagan
becomes President (a fact which is met with
Posted December 15, 2000 Would you like to comment on this article? Please submit your comments here. |
||
| HOME SILVER SCREEN SMALL SCREEN NEWS ARCHIVE |


SoftwareKeyboard
public enum SoftwareKeyboard : String, LaunchArgumentValue
Enumeration describing available software keyboards in the system.
-
Automatically generated value for software keyboard Arabic.
Declaration
Swift
case Arabic = "ar@sw=Arabic"
-
Automatically generated value for software keyboard Armenian.
Declaration
Swift
case Armenian = "hy@sw=Armenian"
-
Automatically generated value for software keyboard AzerbaijaniLatin.
Declaration
Swift
case AzerbaijaniLatin = "az_Latn@sw=QWERTY-Azeri"
-
Automatically generated value for software keyboard Bangla.
Declaration
Swift
case Bangla = "bn@sw=Bengali"
-
Automatically generated value for software keyboard Belarusian.
Declaration
Swift
case Belarusian = "be@sw=Belarusian"
-
Automatically generated value for software keyboard BulgarianBulgaria.
Declaration
Swift
case BulgarianBulgaria = "bg_BG@sw=Bulgarian"
-
Automatically generated value for software keyboard CatalanSpain.
Declaration
Swift
case CatalanSpain = "ca_ES@sw=QWERTY-Catalan"
-
Automatically generated value for software keyboard Cherokee.
Declaration
Swift
case Cherokee = "chr@sw=Cherokee"
-
Automatically generated value for software keyboard ChineseChinamainland.
Declaration
Swift
case ChineseChinamainland = "zh_CN@sw=Pinyin-Simplified"
-
Automatically generated value for software keyboard ChineseSimplifiedHWR.
Declaration
Swift
case ChineseSimplifiedHWR = "zh_Hans-HWR@sw=HWR-Simplified"
-
Automatically generated value for software keyboard ChineseSimplifiedPinyinRomanization.
Declaration
Swift
case ChineseSimplifiedPinyinRomanization = "zh_Hans-Pinyin@sw=Pinyin-Simplified"
-
Automatically generated value for software keyboard ChineseSimplifiedSHUANGPIN.
Declaration
Swift
case ChineseSimplifiedSHUANGPIN = "zh_Hans-Shuangpin@sw=Pinyin-Simplified"
-
Automatically generated value for software keyboard ChineseSimplifiedWUBIHUA.
Declaration
Swift
case ChineseSimplifiedWUBIHUA = "zh_Hans-Wubihua@sw=Wubihua-Simplified"
-
Automatically generated value for software keyboard ChineseTaiwan.
Declaration
Swift
case ChineseTaiwan = "zh_TW@sw=Zhuyin"
-
Automatically generated value for software keyboard ChineseTraditionalCANGJIE.
Declaration
Swift
case ChineseTraditionalCANGJIE = "zh_Hant-Cangjie@sw=Cangjie"
-
Automatically generated value for software keyboard ChineseTraditionalHWR.
Declaration
Swift
case ChineseTraditionalHWR = "zh_Hant-HWR@sw=HWR-Traditional"
-
Automatically generated value for software keyboard ChineseTraditionalPinyinRomanization.
Declaration
Swift
case ChineseTraditionalPinyinRomanization = "zh_Hant-Pinyin@sw=Pinyin-Traditional"
-
Automatically generated value for software keyboard ChineseTraditionalSHUANGPIN.
Declaration
Swift
case ChineseTraditionalSHUANGPIN = "zh_Hant-Shuangpin@sw=Pinyin-Traditional"
-
Automatically generated value for software keyboard ChineseTraditionalSUCHENG.
Declaration
Swift
case ChineseTraditionalSUCHENG = "zh_Hant-Sucheng@sw=Sucheng"
-
Automatically generated value for software keyboard ChineseTraditionalWUBIHUA.
Declaration
Swift
case ChineseTraditionalWUBIHUA = "zh_Hant-Wubihua@sw=Wubihua-Traditional"
-
Automatically generated value for software keyboard ChineseTraditionalZHUYIN.
Declaration
Swift
case ChineseTraditionalZHUYIN = "zh_Hant-Zhuyin@sw=Zhuyin"
-
Automatically generated value for software keyboard CroatianCroatia.
Declaration
Swift
case CroatianCroatia = "hr_HR@sw=QWERTZ"
-
Automatically generated value for software keyboard CzechCzechia.
Declaration
Swift
case CzechCzechia = "cs_CZ@sw=Czech-Slovak"
-
Automatically generated value for software keyboard DanishDenmark.
Declaration
Swift
case DanishDenmark = "da_DK@sw=QWERTY-Danish"
-
Automatically generated value for software keyboard DutchBelgium.
Declaration
Swift
case DutchBelgium = "nl_BE@sw=AZERTY"
-
Automatically generated value for software keyboard DutchNetherlands.
Declaration
Swift
case DutchNetherlands = "nl_NL@sw=QWERTY"
-
Automatically generated value for software keyboard EnglishAustralia.
Declaration
Swift
case EnglishAustralia = "en_AU@sw=QWERTY"
-
Automatically generated value for software keyboard EnglishCanada.
Declaration
Swift
case EnglishCanada = "en_CA@sw=QWERTY"
-
Automatically generated value for software keyboard EnglishIndia.
Declaration
Swift
case EnglishIndia = "en_IN@sw=QWERTY"
-
Automatically generated value for software keyboard EnglishJapan.
Declaration
Swift
case EnglishJapan = "en_JP@sw=QWERTY"
-
Automatically generated value for software keyboard EnglishSingapore.
Declaration
Swift
case EnglishSingapore = "en_SG@sw=QWERTY"
-
Automatically generated value for software keyboard EnglishUnitedKingdom.
Declaration
Swift
case EnglishUnitedKingdom = "en_GB@sw=QWERTY"
-
Automatically generated value for software keyboard EnglishUnitedStates.
Declaration
Swift
case EnglishUnitedStates = "en_US@sw=QWERTY"
-
Automatically generated value for software keyboard EstonianEstonia.
Declaration
Swift
case EstonianEstonia = "et_EE@sw=QWERTY"
-
Automatically generated value for software keyboard FinnishFinland.
Declaration
Swift
case FinnishFinland = "fi_FI@sw=QWERTY-Swedish-Finnish"
-
Automatically generated value for software keyboard FrenchBelgium.
Declaration
Swift
case FrenchBelgium = "fr_BE@sw=AZERTY-French"
-
Automatically generated value for software keyboard FrenchCanada.
Declaration
Swift
case FrenchCanada = "fr_CA@sw=QWERTY-Accents"
-
Automatically generated value for software keyboard FrenchFrance.
Declaration
Swift
case FrenchFrance = "fr_FR@sw=AZERTY-French"
-
Automatically generated value for software keyboard FrenchSwitzerland.
Declaration
Swift
case FrenchSwitzerland = "fr_CH@sw=QWERTZ-Accents"
-
Automatically generated value for software keyboard Georgian.
Declaration
Swift
case Georgian = "ka@sw=Georgian-Phonetic"
-
Automatically generated value for software keyboard GermanAustria.
Declaration
Swift
case GermanAustria = "de_AT@sw=QWERTZ-German"
-
Automatically generated value for software keyboard GermanGermany.
Declaration
Swift
case GermanGermany = "de_DE@sw=QWERTZ-German"
-
Automatically generated value for software keyboard GermanSwitzerland.
Declaration
Swift
case GermanSwitzerland = "de_CH@sw=QWERTZ-German"
-
Automatically generated value for software keyboard GreekGreece.
Declaration
Swift
case GreekGreece = "el_GR@sw=Greek"
-
Automatically generated value for software keyboard Gujarati.
Declaration
Swift
case Gujarati = "gu@sw=Gujarati"
-
Automatically generated value for software keyboard Hawaiian.
Declaration
Swift
case Hawaiian = "haw@sw=QWERTY-Hawaiian"
-
Automatically generated value for software keyboard HebrewIsrael.
Declaration
Swift
case HebrewIsrael = "he_IL@sw=Hebrew"
-
Automatically generated value for software keyboard Hindi.
Declaration
Swift
case Hindi = "hi@sw=Devanagari-Hindi"
-
Automatically generated value for software keyboard HindiLatin.
Declaration
Swift
case HindiLatin = "hi_Latn@sw=QWERTY"
-
Automatically generated value for software keyboard HindiTRANSLIT.
Declaration
Swift
case HindiTRANSLIT = "hi-Translit@sw=QWERTY-Hindi"
-
Automatically generated value for software keyboard HungarianHungary.
Declaration
Swift
case HungarianHungary = "hu_HU@sw=QWERTZ"
-
Automatically generated value for software keyboard IcelandicIceland.
Declaration
Swift
case IcelandicIceland = "is_IS@sw=Icelandic"
-
Automatically generated value for software keyboard IndonesianIndonesia.
Declaration
Swift
case IndonesianIndonesia = "id_ID@sw=QWERTY"
-
Automatically generated value for software keyboard IrishIreland.
Declaration
Swift
case IrishIreland = "ga_IE@sw=QWERTY"
-
Automatically generated value for software keyboard ItalianItaly.
Declaration
Swift
case ItalianItaly = "it_IT@sw=QWERTY"
-
Automatically generated value for software keyboard JapaneseJapan.
Declaration
Swift
case JapaneseJapan = "ja_JP@sw=Kana"
-
Automatically generated value for software keyboard JapaneseJapanKANA.
Declaration
Swift
case JapaneseJapanKANA = "ja_JP-Kana@sw=Kana"
-
Automatically generated value for software keyboard JapaneseJapanROMAJI.
Declaration
Swift
case JapaneseJapanROMAJI = "ja_JP-Romaji@sw=QWERTY-Japanese"
-
Automatically generated value for software keyboard Kannada.
Declaration
Swift
case Kannada = "kn@sw=Kannada"
-
Automatically generated value for software keyboard KoreanSouthKorea.
Declaration
Swift
case KoreanSouthKorea = "ko_KR@sw=Korean"
-
Automatically generated value for software keyboard LatvianLatvia.
Declaration
Swift
case LatvianLatvia = "lv_LV@sw=QWERTY"
-
Automatically generated value for software keyboard LithuanianLithuania.
Declaration
Swift
case LithuanianLithuania = "lt_LT@sw=QWERTY"
-
Automatically generated value for software keyboard MacedonianMacedonia.
Declaration
Swift
case MacedonianMacedonia = "mk_MK@sw=Macedonian"
-
Automatically generated value for software keyboard MalayMalaysia.
Declaration
Swift
case MalayMalaysia = "ms_MY@sw=QWERTY"
-
Automatically generated value for software keyboard Malayalam.
Declaration
Swift
case Malayalam = "ml@sw=Malayalam"
-
Automatically generated value for software keyboard Maori.
Declaration
Swift
case Maori = "mi@sw=QWERTY"
-
Automatically generated value for software keyboard Marathi.
Declaration
Swift
case Marathi = "mr@sw=Devanagari-Marathi"
-
Automatically generated value for software keyboard NajdiArabic.
Declaration
Swift
case NajdiArabic = "ars@sw=Arabic"
-
Automatically generated value for software keyboard NorwegianBokmålNorway.
Declaration
Swift
case NorwegianBokmålNorway = "nb_NO@sw=QWERTY-Norwegian"
-
Automatically generated value for software keyboard Odia.
Declaration
Swift
case Odia = "or@sw=Oriya"
-
Automatically generated value for software keyboard Persian.
Declaration
Swift
case Persian = "fa@sw=Persian"
-
Automatically generated value for software keyboard PolishPoland.
Declaration
Swift
case PolishPoland = "pl_PL@sw=QWERTY"
-
Automatically generated value for software keyboard PortugueseBrazil.
Declaration
Swift
case PortugueseBrazil = "pt_BR@sw=QWERTY"
-
Automatically generated value for software keyboard PortuguesePortugal.
Declaration
Swift
case PortuguesePortugal = "pt_PT@sw=QWERTY"
-
Automatically generated value for software keyboard Punjabi.
Declaration
Swift
case Punjabi = "pa@sw=Punjabi-Phonetic"
-
Automatically generated value for software keyboard RomanianRomania.
Declaration
Swift
case RomanianRomania = "ro_RO@sw=QWERTY"
-
Automatically generated value for software keyboard RussianRussia.
Declaration
Swift
case RussianRussia = "ru_RU@sw=Russian"
-
Automatically generated value for software keyboard SerbianCyrillic.
Declaration
Swift
case SerbianCyrillic = "sr_Cyrl@sw=Serbian-Cyrillic"
-
Automatically generated value for software keyboard SerbianLatin.
Declaration
Swift
case SerbianLatin = "sr_Latn@sw=QWERTY"
-
Automatically generated value for software keyboard SlovakSlovakia.
Declaration
Swift
case SlovakSlovakia = "sk_SK@sw=Czech-Slovak"
-
Automatically generated value for software keyboard SlovenianSlovenia.
Declaration
Swift
case SlovenianSlovenia = "sl_SI@sw=QWERTZ"
-
Automatically generated value for software keyboard SpanishLatinAmerica.
Declaration
Swift
case SpanishLatinAmerica = "es_419@sw=QWERTY-Spanish"
-
Automatically generated value for software keyboard SpanishMexico.
Declaration
Swift
case SpanishMexico = "es_MX@sw=QWERTY-Spanish"
-
Automatically generated value for software keyboard SpanishSpain.
Declaration
Swift
case SpanishSpain = "es_ES@sw=QWERTY-Spanish"
-
Automatically generated value for software keyboard Swahili.
Declaration
Swift
case Swahili = "sw@sw=QWERTY"
-
Automatically generated value for software keyboard SwedishSweden.
Declaration
Swift
case SwedishSweden = "sv_SE@sw=QWERTY-Swedish-Finnish"
-
Automatically generated value for software keyboard TagalogPhilippines.
Declaration
Swift
case TagalogPhilippines = "tl_PH@sw=QWERTY"
-
Automatically generated value for software keyboard Tamil.
Declaration
Swift
case Tamil = "ta@sw=Tamil"
-
Automatically generated value for software keyboard Telugu.
Declaration
Swift
case Telugu = "te@sw=Telugu"
-
Automatically generated value for software keyboard ThaiThailand.
Declaration
Swift
case ThaiThailand = "th_TH@sw=Thai"
-
Automatically generated value for software keyboard Tibetan.
Declaration
Swift
case Tibetan = "bo@sw=Tibetan"
-
Automatically generated value for software keyboard TurkishTurkey.
Declaration
Swift
case TurkishTurkey = "tr_TR@sw=Turkish-Q"
-
Automatically generated value for software keyboard UkrainianUkraine.
Declaration
Swift
case UkrainianUkraine = "uk_UA@sw=Ukrainian"
-
Automatically generated value for software keyboard Urdu.
Declaration
Swift
case Urdu = "ur@sw=Urdu"
-
Automatically generated value for software keyboard VietnameseVietnam.
Declaration
Swift
case VietnameseVietnam = "vi_VN@sw=QWERTY"
-
Automatically generated value for software keyboard WelshUnitedKingdom.
Declaration
Swift
case WelshUnitedKingdom = "cy_GB@sw=QWERTY"


The DFT of time-domain array hj with j = 0,1,…,N − 1 is given by Eq. (34), i.e.,
|
| (37) |
with n = −N∕2,…,N∕2, where W = exp(2πi∕N).
Note that the subscript of Hn is in the range n = −N∕2,…,N∕2 while the subscript of hj is in the range j = 0,1,…,N − 1. Further note that Hn contains N + 1 elements while hj contains only N elements. It is ready to ﬁnd that the array deﬁned in Eq. (37) has the following periodic property
|
| (38) |
Using this general property, we obtain H−N∕2 = HN∕2, i.e., the two ending elements of Hn, namely H−N∕2 and HN∕2, are equal to each other. Thus only one value is needed to be stored. This can be used to reduce the number of elements of Hn that need to be stored by one. Then Hn contains only N elements rather than N + 1. Furthermore, we prefer to make the index of Hn and hj array have the same range, i.e., [0,N − 1]. This can be done by storing the negative frequency part (i.e., n = −N∕2,…,−1) of Hn in the locations where the subscripts are respectively n = N∕2,…,N − 1, as is shown in Fig 2. A naive method of implementing this in a code is to ﬁrst calculate the values of Hn in the range n = −N∕2,…,N∕2, then shift the array to achieve the desired storage arrangement, as is shown in Fig 2. It turns out that we have a better way to achieve the same goal: using again the periodic property Eq. (38), we know that the value of the Hn array elements with negative subscripts, n = −N∕2,…,−1, happens to be equal to the value of the Hn elements with subscripts n = N∕2,…,N − 1, respectively. Using this, we can simply use Eq. (37) to calculate values of Hn in the range n = 0,1,N − 1 and the array obtained is exactly in the desired storage arrangement.
In practice, we do not use Eq. (37) directly to calculate Hn. Instead, the famous Fast Fourier Transformation (FFT) algorithm is used to calculate Hn with n = 0,1,…,N − 1. Remember the storage arrangement discussed above is important for one to correctly interpret and use the output of FFT. For example, what frequency does the element Hj with j > N∕2 correspond to? The answer is obvious if we know the storage arrangement of FFT output: the corresponding frequency of No. jth element is given by
|
| (39) |
Deﬁne f1 = fs∕N = 1∕T, then Eq. (39) can be written as
|
| (40) |
Here f1 is the spacing in the frequency domain and is called frequency resolution.
Q: What is the negative frequency counterpart of the element Hj for j≠0 ?
A: The storage arrangement shown in Fig. 2 indicates that it is the element HN−j.


{% extends 'base.html' %} {% load staticfiles %} {% block 'content' %}
Pretty self-explanatory, I felt compelled to make a GIF of Randall's recent World Clock comic on XKCD. If you don’t read XKCD, take a look! I live off those comics.
Sorry this page is not that pretty yet, it was kind of a quick effort
{% endblock %}


the following image has id=d1.
the following image has id=d2.
the following image has id=d3.
the following image has id=d4.
the following image has id=d5.
the following image has id=d6.


This document gives an overview of the PyObjC for developers (of the package).
One of the sections describes how all of it works, and some of the limitations.
This document is a incomplete, it should be updated.
Classes are scanned for methods when the Python wrapper for a class is created. We then create Python wrappers for those methods. This way users can use the normal Python introspection methods to check which methods are available.
There are several occasions when these method tables are rescanned, because classes can grow new methods when categories are loaded into the runtime. Additionally, it is known that some Cocoa frameworks in Mac OS X change their method tables when the first instance is created.
It is possible to subclass Objective-C classes from Python. These classes end up in a structure containing both a Python type object and an Objective-C class. Instances of these classes also contain both a Python instance and an Objective-C object.
The first Python subclass of an Objective-C class introduces a new instance variable in the Objective-C object to store the pointer to the Python half of the cluster. This variable is always referenced by name. The Python half is a subclass of objc_object that already contains a pointer to an Objective-C object. This first subclass also introduces a number of class and instance methods that the PyObjC bridge uses to maintain the illusion of a single object on both sides. Check class-builder.m for details.
The Objective-C rules for reference counts are pretty easy: A small number of class methods (alloc, allocWithZone:, copy, ...) transfer object ownership to the caller. For all other objects you have to call retain if you want to keep a reference. This includes all factory methods, such as [NSString stringWithCString:"bla"]!
When programming Cocoa in Python, you rarely need to worry about reference counts: the objc module makes this completely transparent to user. This is mostly implemented in [de]pythonify_c_value. Additonal code is needed when calling methods that transfer ownership of their return value (as described above) and when updating a instance variable in an Objective-C object (retain new and release old, in that order). Both are implemented.
Python unicode instances are proxied by the OC_PythonUnicode subclass of NSString. This is a proxy, and will maintain the identity of the original unicode instance.
NSString instances are represented in Python as a subtype of unicode: objc.pyobjc_unicode. This performs a conversion, because Python’s unicode type is immutable, but it also maintains a reference to the original NSString. NSString and NSMutableString methods are available from the objc.pyobjc_unicode object, though they do not show up via Python’s introspection mechanisms. In order to get the latest Python representation of a NSMutableString, use the return value of its self() method.
Python str instances are proxied by the OC_PythonString subclass of NSString. This is a proxy, and will maintain the identity of the original str instance. OC_PythonString will use the default encoding of NSString, so its results might be surprising if you are using non-ASCII text. It is recommended that you use unicode whenever possible. In order to help you determine where you are not using unicode, it is possible to trigger an objc.PyObjCStrBridgeWarning warning whenever a str instance crosses the bridge:
import objc objc.setStrBridgeEnabled(False)
To promote these to an exception, do the following:
import objc import warnings warnings.filterwarnings('error', objc.PyObjCStrBridgeWarning)


Conversational Form examples
coform
Newsletter Sign-up Example
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A friend of mine,Aman Agrawal, is working on getting approximate lower bound on the time complexities of a boolean function. Boolean functions are functions that take a certain no of bits ( equivalently a binary string ) and output a single bit ( 0 or 1).
Putting aside my love for fancy, pure mathematics, i was wondering why in the world someone would start studying the time complexities of these particulary type of functions.
Programs and Boolean Functions
I realized the following fact while revising my notes of “Theory of Computation”, Every function/program with input and output, which can be executed in a computer is essentially a General boolean function.
function/Program :: Binary String -> Binary String
Functions vs Programs
One more thing, A function and program are essentially equivalent. A program can be seen as a composition of functions. Though this is not easy to see in C like languages, but there are pure functional languages like haskell which uses function application as the basis of computation. Now atleast on a higher level, we feel that C like languages and haskell ( or for that matter, any language that is turing complete ) are equivalent.
(Simple) Boolean Functions
Okay, So what does (simple) Boolean functions signify? They represent programs which take a input and output yes (1) or no (0).
Now a lot of problems can be framed in a manner, so as to have a yes or no output. One example i can think of now is the following?
Original Program
Input : a list of n positive integers
Output: Biggest number in the list
Decision version
Input : a list of n positive integers along with a number k
Output: Yes if k is larger than all the numbers
Algorithm
k = 1 in the starting
Keep incrementing k till you get “YES” as answer.
Output : k - 1
Question-Answering Machine
Even though a large set of problems can be framed in this manner ( i.e. there is a decision version of the problem ), can we say that all programs ( that can be executed in a computer) can be computed ( executed ) in this manner?
Honestly I am not completely sure about it, but what i can remember is that we are asking something similar to what Alan Turing asks in his paper “Can machines Think?”.
He questioned about whether we can construct a machine that is intelligent, atleast indistinguishable from a human being. The machine proposed was a question answering machine, similar to what we are searching here.
Formalization
To Formalize our Intution about these type of programs ( that can be executed on a computer) I will present three (loose) definitions:
Turing Machine(TM) With Output
Any Computer that reads input from memory, perform some computation and write output back to memory.
Computable Function
A function :: String -> String, is said to be computable if \(\exists\) A “TM with output” \(M\) st \(\forall\) string \(x\) , M halts with \(f(x)\) written on output memory segment.
Church-Turing Hypothesis
Anything that can be computed can be computed by a Turing Machine.
Final thoughts
At my current level of understanding, I cannot state anything about whether we can convert every computable function to its decision version, but a large class of problem which are of general interest (e.g. Sorting a list) and From my intution, problems involving finite numbers should be convertible to computing a Boolean function over the (augmented) input.
Thus getting a lower bound on time complexity of a boolean function is equivalent to getting a lower bound on solving the problem. There are technical details which I don’t know yet, but the idea that you can prove that “No algorithm solving this problem will have time complexity better than O(something)” is Fascinating.


Sensex rises over 200 points; Nifty tests 11,950
The 30-share index was trading 213.78 points, or 0.53 per cent, higher at 40,573.19. Similarly, the broader Nifty rose 57.65 points, or 0.48 %, to 11,972.05.
by PTIMarket benchmark BSE Sensex jumped over 200 points in early trade on Monday tracking gains in index-heavyweights Infosys, Reliance Industries and Bharti Airtel amid positive cues from global equities.
The 30-share index was trading 213.78 points, or 0.53 per cent, higher at 40,573.19. Similarly, the broader Nifty rose 57.65 points, or 0.48 %, to 11,972.05.
Top gainers in the Sensex pack included Tata Steel which rose up to 2.48 %, Bharti Airtel 2.30 %, Infosys 1.33 %, Sun Pharma 1.55 %, Vedanta 1.27 % and RIL 0.82 %t.
On the other hand, Bajaj Auto fell up to 0.76 %, ICICI Bank 0.75 %, HCL Tech 0.70 %, Asian Paints 0.59 % and ONGC slipped 0.60 %.
On Friday, the Sensex ended 215.76 points, or 0.53 %, lower at 40,359.41. The Nifty settled 54 points, or 0.45 per cent, down at 11,914.40.
Foreign institutional investors bought shares worth ₹ 305.72 crore in the capital market in the previous session, while domestic institutional investors sold equities worth ₹ 177.37 crore, data available with stock exchange showed.
Elsewhere in Asia, bourses in Shanghai, Hong Kong, Seoul and Tokyo were trading on a positive note.
On the currency front, the rupee depreciated marginally against the US dollar to trade at 71.72 in early session.
Brent futures, the global oil benchmark, rose 0.21 per cent to $ 63.52 per barrel.


This is a simple addon for HipChat that allows users to post random demotivators with "/demotivator foo".
It searches the Google Image Search API for `demotivator foo` and posts the first image found to the room.
You are not limited to "demotivator" -- you can use any trigger string you like!
If you're new here, you'll need an API token from Hipchat. You can get one at https://XXX.hipchat.com/account/api, where XXX is your Hipchat subdomain.
Below you can install webhooks for any trigger string you like. If you have not modified the tool, your webhook URL will be
webhook-endpoint.php on this same server.
If you are running this file on localhost, you probably want to set up a requestb.in
or similar and paste the data into the debug box below instead.
Delete a webhook
ID
Debug
Faint of heart, turn back now. If you wish to debug this awesome system, here's what to do.
 Copy the token into the token field above, and the json data into the box here.
Open your browser tools and click Debug.
If things are working you will see a highly relevant image posted to the chat room.
If there is a problem with your webhook, nothing will show up in the bin when you refresh it.
If there is a problem in your webhook-endpoint.php you can see the output in the Network tab. If everything is working properly you should see zero response.
To debug the PHP, you can send data forwards to the Hipchat, or echo it and find it in the Network tab.
Once everything is working on localhost, push to dev/prod and try again.


This is a puzzle about the former names of things:
- Brad’s Drink is the former name of Pepsi
- Kibble is the former name of Netflix
- Lenny, Penny and Kenny was an old working title of The Big Bang Theory
- Nyasaland was a British protectorate that preceded Malawi
- Girl’s Tyme is the former name of Destiny’s Child
- Raider is what Twix used to be called
- Ashdown House used to be in the building now known as Maseeh Hall
- Yathrib was the pre-Islam name of Medina
- Smeagol is what Gollum used to be called
Taking the first letters of each former name, we get BKLN GRAYS. The Brooklyn Grays is a former name of the Los Angeles Dodgers, so the answer is LA DODGERS.
Author’s Notes
This puzzle was originally going to be about things that had more well-known former names, such as Prince and Alphabet, but this direction ended up being more interesting.