|
|
...read Section 2
String testPoint(verts, x, y){ int N = lengthof(verts); int cnt = 0; double x2 = random()*1000+1000; double y2 = random()*1000+1000; for(int i = 0; i<N; i++){ if(distPointToSegment(verts[i],verts[(i+1)%N],x,y) == 0) return "BOUNDARY"; if(segmentsIntersect((verts[i],verts[(i+1)%N],{x,y},{x2,y2})) cnt++; } if(cnt%2 == 0)return "EXTERIOR"; else return "INTERIOR"; } TVTower(SRM 183) Requires: Finding a Circle From 3 Points In problems like this, the first thing to figure out is what sort of solutions might work. In this case, we want to know what sort of circles we should consider. If a circle only has two points on it, then, in most cases, we can make a slightly smaller circle, that still has those two points on it. The only exception to this is when the two points are exactly opposite each other on the circle. Three points, on the other hand, uniquely define a circle, so if there are three points on the edge of a circle, we cannot make it slightly smaller, and still have all three of them on the circle. Therefore, we want to consider two different types of circles: those with two points exactly opposite each other, and those with three points on the circle. Finding the center of the first type of circle is trivial — it is simply halfway between the two points. For the other case, we can use the method for Finding a Circle From 3 Points. Once we find the center of a potential circle, it is then trivial to find the minimum radius. int[] x, y; int N; double best = 1e9; void check(double cx, double cy){ double max = 0; for(int i = 0; i< N; i++){ max = max(max,dist(cx,cy,x[i],y[i])); } best = min(best,max); } double minRadius(int[] x, int[] y){ this.x = x; this.y = y; N = lengthof(x); if(N==1)return 0; for(int i = 0; i<N; i++){ for(int j = i+1; j<N; j++){ double cx = (x[i]+x[j])/2.0; double cy = (y[i]+y[j])/2.0; check(cx,cy); for(int k = j+1; k<N; k++){ //center gives the center of the circle with //(x[i],y[i]), (x[j],y[j]), and (x[k],y[k]) on //the edge of the circle. double[] c = center(i,j,k); check(c[0],c[1]); } } } return best; } Satellites (SRM 180) Requires: Line-Point Distance This problem actually requires an extension of the Line-Point Distance method discussed previously. It is the same basic principle, but the formula for the cross product is a bit different in three dimensions. The first step here is to convert from spherical coordinates into (x,y,z) triples, where the center of the earth is at the origin. double x = sin(lng/180*PI)*cos(lat/180*PI)*alt; double y = cos(lng/180*PI)*cos(lat/180*PI)*alt; double z = sin(lat/180*PI)*alt;Now, we want to take the cross product of two 3-D vectors. As I mentioned earlier, the cross product of two vectors is actually a vector, and this comes into play when working in three dimensions. Given vectors (x1,y1,z1) and (x2,y2,z2) the cross product is defined as the vector (i,j,k) where i = y1z2 - y2z1; j = x2z1 - x1z2; k = x1y2 - x2y1;Notice that if z1 = z2 = 0, then i and j are 0, and k is equal to the cross product we used earlier. In three dimensions, the cross product is still related to the area of the parallelogram with two sides from the two vectors. In this case, the area of the parallelogram is the norm of the vector: sqrt(i*i+j*j+k*k). Hence, as before, we can determine the distance from a point (the center of the earth) to a line (the line from a satellite to a rocket). However, the closest point on the line segment between a satellite and a rocket may be one of the end points of the segment, not the closest point on the line. As before, we can use the dot product to check this. However, there is another way which is somewhat simpler to code. Say that you have two vectors originating at the origin, S and R, going to the satellite and the rocket, and that |X| represents the norm of a vector X. Then, the closest point to the origin is R if |R|2 + |R-S|2 ≤ |S|2 and it is S if |S|2 + |R-S|2 ≤ |R|2 Naturally, this trick works in two dimensions also. Further Problems Once you think you've got a handle on the three problems above, you can give these ones a shot. You should be able to solve all of them with the methods I've outlined, and a little bit of cleverness. I've arranged them in what I believe to ascending order of difficulty. ConvexPolygon (SRM 166) Requires: Polygon Area Surveyor (TCCC '04 Qual 1) Requires: Polygon Area Travel (TCI '02) Requires: Dot Product Parachuter (TCI '01 Round 3) Requires: Point In Polygon, Line-Line Intersection PuckShot (SRM 186) Requires: Point In Polygon, Line-Line Intersection ElectronicScarecrows (SRM 173) Requires: Convex Hull, Dynamic Programming Mirrors (TCI '02 Finals) Requires: Reflection, Line-Line Intersection Symmetry (TCI '02 Round 4) Requires: Reflection, Line-Line Intersection Warehouse (SRM 177) Requires: Line-Point Distance, Line-Line Intersection The following problems all require geometry, and the topics discussed in this article will be useful. However, they all require some additional skills. If you got stuck on them, the editorials are a good place to look for a bit of help. If you are still stuck, there has yet to be a problem related question on the round tables that went unanswered. DogWoods (SRM 201) ShortCut (SRM 215) SquarePoints (SRM 192) Tether (TCCC '03 W/MW Regional) TurfRoller (SRM 203) Watchtower (SRM 176)
|
|
|
Home |
About TopCoder |
Press Room |
Contact Us |
Careers |
Privacy |
Terms
Competitions | Cockpit |
| Copyright TopCoder, Inc. 2001-2011 |


a. Advertising through unconventional channels / platforms
b. Using internet / WiFi access to generate customer database and analysing that to create target audience groups
a. Online library to create access to real books across different subjects / areas of interests.
b. Helping students to decide on which institute to join for post-school level education
c. Career counselling platform
d. Easier access to high quality class-room notes
a. Housing pool
a. Helping to develop and design intricate products and then to sell them, followed with support and services
a. Single window concept for organizing the event in a customized way
a. To produce a specific product in an economical and environment-friendly manner using commercial waste
Owing to the fact that these projects are under incubation and there is an NDA involved, we would respect the project owners’ discretion to not to share much details.
Yes, we would be very happy to provide you the opportunity to connect with the project owners.
You can write to us at<EMAIL_ADDRESS>As we are in the process of incubating different projects, we expect these to go live in about 3-6 months from now.


A missing 17-year-old has been found safe and well 23 Nov 2019, 20:30 A missing 17-year-old has been found safe and well.


Hi! I'm Neeka!
-
I need to know a few things before start. First I'll need to know the database credentials, where I'll store everything I know.
MongoDB
-
Now tell me a little bit about yourself.
About You
-
This step is optional, but if you want features like "forgot you password" to work set up a email server.
Email Server
-
Finally tell me about your new blog!
Blog


| Internet Engineering Task Force | A. Boronine, Ed. |
| Internet-Draft | |
| Intended status: Informational | November 6, 2014 |
| Expires: May 10, 2015 |
Minimal JSON Type System
draft-boronine-teleport-00
Teleport is a minimal type system designed as an extension of JSON. It comes with 10 types, sufficient for imposing order on most structured data. It provides a pattern for extending it with arbitrary types. Teleport's type definitions are JSON values, making it possible to use them for data specifications.
Implemented as a library, Teleport can be used for data serialization, input validation, as well as an aid in generating documentation, particularly useful for web APIs.
This document provides the mathematical basis of Teleport and can be used for implementing libraries based on it.
This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is at http://datatracker.ietf.org/drafts/current/.
Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress."
This Internet-Draft will expire on May 10, 2015.
Copyright (c) 2014 IETF Trust and the persons identified as the document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (http://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License.
In Teleport, a type is a relation between a type definition and a value space, a potentially infinite set of values. Because Teleport is based on JSON, all value spaces consist of JSON values and, interestingly, type definitions are JSON values too. These definitions are called JSON schemas.
These relations are defined by expanding the definition of t function. For example:
This is a concrete type, a relation that maps a JSON string (the type name) to a value space. The above line lets us say that "a" is of type String.
Teleport ships with 7 concrete types: Integer, Float, String, Boolean, DateTime, Schema and JSON. The numeric types are arbitrary-precision, DateTime uses the ISO 8601 [ISO.8601.1988] standard, JSON is a wildcard that maps to the entire set of JSON values and Schema is the set of all JSON schemas, letting us serialize type definitions.
A generic type maps a set of schemas to a set of value spaces. For consistency, every generic type schema must be an object with a single member:
Three generic types are provided: Array, Map and Struct. Their precise definition is provided in the following sections, but these examples should be enough to understand how they work:
["foo", "bar"] :: t({"Array": "String"}) {"one": 1, "two": 2} :: t({"Map": "Integer"}) {"name": "Jake", "age": 28} :: t({"Struct": { "required": {"name": "String"}, "optional": {"age": "Integer"}})
Teleport's design goals is to be a natural extension of JSON, be extremely lightweight, and extendable not only with rich types but with high-level type system concepts.
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119 [RFC2119].
The terms "JSON", "JSON text", "JSON value", "member", "element", "object", "array", "number", "string", "boolean", "true", "false", and "null" in this document are to be interpreted as defined in RFC 4627 [RFC4627].
Throughout this document, an extended JSON syntax is used. Unquoted strings are symbols representing JSON values, sets and functions. Also, the following set theory syntax is used:
The set of all JSON values is called V. A subset of V is called a value space and the set of all value spaces is called S.
There is a certain function t that maps JSON values to value spaces.
x is of concrete type c if and only if
x is of generic type g if and only if
x :: t({"Array": p}) if and only if
x :: t({"Map": p}) if and only if
x :: t({"Struct": p}) if and only if
This memo includes no request to IANA.
All drafts are required to have a security considerations section. See RFC 3552 [RFC3552] for a guide.
| [ISO.8601.1988] | International Organization for Standardization, "Data elements and interchange formats - Information interchange - Representation of dates and times", ISO Standard 8601, June 1988. |
| [RFC2119] | Bradner, S., "Key words for use in RFCs to Indicate Requirement Levels", BCP 14, RFC 2119, March 1997. |
| [RFC4627] | Crockford, D., "The application/json Media Type for JavaScript Object Notation (JSON)", RFC 4627, July 2006. |
| [RFC3552] | Rescorla, E. and B. Korver, "Guidelines for Writing RFC Text on Security Considerations", BCP 72, RFC 3552, July 2003. |
Comments are solicited and should be addressed to the working group's mailing list at<EMAIL_ADDRESS>and/or the author.
This section will be removed for RFC.
-00


@import conf.Configuration @import navigation.AuthenticationComponentEvent._
Sign in or create your Guardian account to recommend a comment


I am a marketer with a diverse set of skills, based out of the Kansas City metro area. I've worked in full-stack web development, content strategy, project management, and graphic design.
I'm studying at the University of Kansas Coding Boot Camp to launch full stack applications.
With a marketing background, I understand such core competencies as HTML5, CSS3, and JavaScript, as well as UX/UI design.
Nullam porttitor porta augue vel iaculis. Pellentesque a pretium erat. Maecenas semper laoreet dapibus et quatre malesuada.
Though I originally started with Adobe InDesign for print projects, I am familiar with Photoshop and Illustrator, which I currently use frequently.
I earned a Bachelor of Arts in English at the University of Notre Dame and I've written professionally since.
I've managed large, agile projects - primarily in marketing and website redesigns - and possesses an MBA.


This work is part of the User Interface and User Experience Design course.
This work is part of the User Interface and User Experience Design course.
Observe and analyze From application And make
your own User Interface design in the class.
Create by Adobe XD.
Amazing in Thailand.
This work is part of the Web Design & Development course,
designed to work on all 5 web pages and framework used in design is Bulma.
The content presented is Temple in Thailand.
In this work, I was assigned
to design prototype and coding.
Society of fiction lovers
Novel Chit chat Web Application, forum and
chat room of fiction lovers New novel updates
Which novel do you want? Want to sell a novel,
what novel. Trust Novel chitchat, everything will be easy.
This is a group activity that presents a web app
about the society of fiction lovers. And able to trade fiction
In this work, I was assigned to design prototype.
Is the ui page of the store's website


I first tried mushrooms at the urging of a friend who was very experienced in psychadelics. He encouraged me to eat them, in spite of the fears I had, and promised that he would take care of me and not allow me to feel uncomfortable with anything I was saying or doing. After a beautiful and lifechanging first trip with him, and an unbreakable bond because of it, I decided I was ready to take it a little further. The first time I tripped, I remained completely aware of everything that was happening and when I realized I could make the ceiling ripple in any direction I wanted, I just thought 'That's interesting.'
The second time, I was with a different friend, a female friend of mine, and we had been planning to trip for a few weeks since she hadn't experienced it in years. So we made the date and at the beginning of July, 2004, we got down to it. Neither of us had eaten much that day, and we both consumed 3.5 grams, followed by large glasses of orange juice. The first time, it had taken about an hour and a half to feel the effects. This time, owing to the lack of food in my stomach, I begin to feel the beginnings of loosening limbs, the first sign I was tripping. Since my apartment was nothing compared to the natural beauty we could be in outside, we decided to go to a ark before I was tripping to hard to drive.
[Erowid Note: Driving while intoxicated or tripping is dangerous and irresponsible because it endangers other people. Don't do it!]
So we left and by the time we arrived, we were both tripping pretty hard. Her dog was with us, and we skipped around with him, marveling at the beauty of the trees, mountains, grass, bark, sky, everything. I believe there are some photos of me with my friend, a large cottonwood tree. We were having a wonderful time and had just about peaked at this point, when 4 or 5 middle aged strangers came off of one of the trails, also with dogs. My friend's dog was desperate to play with the other dogs and the people, being friendly, engaged us in conversation about what type of dog he was, etc. It was aweful. She was laughing hysterically and looking at the ground while I tried to hold the conversation together without the strangers thinking we were tripping. After about 15 minutes we dragged her dog away from their dogs, made excuses and ran frantically back to my car.
Once we got back to the car, we locked ourselves in and could not stop talking about how horrible it was to come across strangers while we were tripping.  Luckily, it was only about 2 miles from the park. I remember feeling like we were flying through space and watching my hands hold the steering wheel like they were the biggest hands in the world. I just kept repeating 'I should win a medal for driving right now' and my friend's hair was floating through the air moving through the car.
We made it back to my apartment, avoided talking to my neighbors, and locked ourselves inside. Things started to get a little overwhelming at this point, and my friend would not stop talking. I was too overcome to speak, but she was getting really angry at me for not talking and kept demanding that I speak to her. her eyes were hugely dialated and really freaking me out, so I agreed to talk to her as long as I didn't have to look at her. I realized that I was starting to trip even harder at this point and that we needed a trip-sitter. I called my friend who had taken me on my first trip, and he agreed to come over and take care of us.
 I wanted to talk to him about energy, and the inaccuracy of time and things like that, but my other friend was not in the same spiritual mood for this sort of debate. We knew we had to get out of the apartment, so he told us to get ready to go hiking. The strangest part of this was that when I was putting my shoes on to go hiking, it felt like my feet kept disappearing. I could see them, but it felt like they would disappear, and then suddenly reappear. It was a little scary, but because my friend who came to take care of us was so experienced, I didn't want to seem like a wuss in front of him and kept this to myself.
Finally, we got in the car. As we left the city, there was a cop who had pulled someone over with his lights flashing. I remember it looked like fountains of red and blue sparks were arching up from the lights and it was really intense. Once we got on the highway, I remember looking at mountains I had seen for years like I had never seen them before. I was in total awe of how beautiful they were and asked if they had always been there. There were a lot of forest fires at the time, too, so there were beautiful whisps of smoke all around the mountains.
We got to the parking lot of where we were going to hike, and decided to first sit by the ocean and smoke some weed. Smoking weed on mushrooms makes me start tripping all over again, so by the time we finished, I was hallucinating really hard. We climbed into a really long culvert and were fascinated by the circle of daylight we could see outside, it was amazing. After that, our trip-sitter said he was going to take us to see the oracle. I immediately thought of the woman in the matrix, but realized it wouldn't be the same thing. So we started to hike up over the highway through the lush forest. We got to a clear spot in the trees and I could stand on the edge of the rock and see the ocean and the moutains and the forest, it was really amazing. I remeber standing there with my arms wide feeling like I was god with all the energy flowing through me.
Our trip-sitter told us that if we wanted to see the oracle, we first had to go through a cave and be reborn. I am normally very claustrophobic, but I wasn't afraid at this point. So we climbed down into this cave and slithered through it. There was a very narrow section when we had to let all the air out of our lungs to get through, but I still wasn't afraid. Finally, we had to rock-climb out the other side and we were reborn. it was a very intense experience to have while on mushrooms. Finally, he told us we were ready to see the oracle.
I wasn't sure what to expect, but as we came around a corner, he told us to be quiet, the oracle was up ahead. We came through the trees and there was a massive, old, overturned tree. It had beetle-eaten patterns all over it and what looked like a giant face. One of its eyes had exploded in a lump of wood and bark, but the other was still intact. Our trip-sitter told us it was the 'eye of sight, and the eye that has seen.' We stayed with the oracle for about an hour, touching the bark and looking at all the patterns and grooves. After hiking for about 7 hours, we headed back to my apartment and drank beers until we all fell asleep-which is, by the way, the absolute best way to end a trip.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Deep Impact (1998)
Director: Mimi Leder Cast: Robert Duvall, Tea Leoni, Elijah Wood, Vanessa Redgrave, Maximilian Schell, Morgan Freeman, Leelee Sobieski, James Cromwell Screenplay: Michael Tolkin, Bruce Joel Rubin Producers: David Brown, Richard D. Zanuck Runtime: 115 min. US Distribution: Paramount/DreamWorks Rated PG-13: brief language, disaster violence
By Nathaniel R. Atcheson<EMAIL_ADDRESS>Deep Impact is a disaster film that tries to do too much in the two hours it has. I noted about thirty minutes into it that the film would have to clear three hours in order to develop all the subplots into meaningful stories. And, as I expected, the film instead relies on numerous manipulative "heartfelt" scenes in which characters hug each other, say goodbye, and cry profusely. I'm not above all that -- some of the character-driven moments in this film actually work.
But I want a disaster film! Deep Impact is, as you all should know, about a big comet careening towards Earth, and what we do to try and stop it. The film builds up steadily to its climax, parts of which you can catch on the trailers and TV spots (you get to see giant tidal waves destroy buildings and offshore oil rigs, among other interesting sights). But, that's two or three minutes of payoff for a long film about people who cry more than anything else. Most upsetting is that the disaster doesn't look nearly as convincing or incredible as I was hoping. In trying to do everything (characters and disasters), Deep Impact somehow misses on both counts, thus proving that you do need three hours (Titanic) to develop characters and throw them in a disaster like this.
I really don't want to synopsize the plot. I don't feel like it right now, and it probably doesn't matter too much because all that you need to know is that there's a comet, and that it could wipe out all life on earth. I will brief you on the characters, though. First, there's Jenny Lerner (Tea Leoni), a reporter who is essentially the first to hear of the "biggest story in history."  All three actors are very good in their roles, although Leoni seems unable to smile and Schell seems unable to do anything but smile.
Then there's young Leo Biederman (Elijah Wood) who, one year prior to most of the events in the film, discovers the comet in his astronomy class. He's in love with Sarah Hotchner (Leelee Sobieski, who is a Helen Hunt lookalike in every possible way). Both kids have entire families, the members of which are all given considerable screen time in this film. Wood is a strong actor, and he pulls off all of his scenes with ease; newcomer Sobieski is also good.
There are many veterans in smaller roles. Morgan Freeman plays the president in that solid Morgan Freeman way. James Cromwell has one (yes, one) scene as the Secretary of State. Robert Duvall plays astronaut Spurgeon Tanner, the leader of the mission to destroy the comet. The mission utilizes the largest spaceship ever created, the Messiah. The plan is to fly up to the comet and plan nuclear devices in it, hopefully diverting its path. This is the first measure they take, and happens about an hour into the film. I hope you don't expect it to succeed. If it did, then we wouldn't get to see the comet flying through the atmosphere and crashing into the Atlantic Ocean.
The film isn't what I'd call realistic. The astronauts pilot the Messiah right into the tail of the comet and try really hard to avoid the house-sized chunks of ice breaking flying towards them at thousands of miles per hour. How the Messiah gets going that fast, or how it catches up to the comet in a few seconds, are details that we never learn, and, because of this, the pacing feels strange and rushed through this section. The subplot does provide for a well-made scene during which the astronauts walk around on the icy surface of the comet.
I've heard that Spielberg hand-picked director Mimi Leder for this project (her debut film was last year's The Peacemaker, which, in my humble opinion, is not a quality action film, but not really because of her). I think she's a pretty good director, and a lot of the scenes here are handled well (my favorite scene has Leoni and Schell standing on a beach, awaiting impact). Often, though, she's countered by the script, which just isn't all that sharp. Most of the subplots are so gooey they ooze from one to the next, and they just keep coming . . . even when you expect the disaster to finally arrive, you get more and more "touching" scenes featuring teary-eyed people.
And I wouldn't mind, because, as I said, a lot of these scenes work (try something a thousand times it's bound to come out right once or twice). But when the comet finally does hit, it just didn't grab me the way I wanted to be grabbed. It's nice-looking, true, and some of the images are striking. But many of the special effects look fuzzy (like the water rushing over mountain tops), and the disaster overall isn't gripping enough to warrant this much buildup.
Deep Impact is an event movie, but it doesn't seem like it wants to be. It wants to be a self-conscious event movie with real characters and situations to care about. But there isn't enough real development of the characters or enough horrific disaster footage to make the entire package altogether smooth. It's a moderately fun film as summer flicks go, but it had potential to be a truly moving and frightening film. It's a little of both, but not quite enough of either.
**1/2 out of **** (6/10, C+)
Visit FILM PSYCHOSIS at http://www.pyramid.net/natesmovies
Nathaniel R. Atcheson
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Coming Soon
The statemens which control the way of execution of the programs are called control statements.
Control statements are divided into 3 categories :-
- Sequencial
- Branching
- Loops
Sequencial is the normal way in which our program flows. Our first program was a sequencial statement.
Branching is the widest part of control statements. It is further divided into 2 parts and they are further divided into 5 and 4 parts respectively.
Loops are type of statements in which our program repeats itself until the given condition is true.
Loops are of three types :-
- While Loop
- Do While Loop
- For Loop
Now in the next chapter we will learn about Conditional statements.


--- title: "Quantifying uncertainty around the short MLB season" date: "2020-07-22" author: "Joseph Ciesielski" ---
This year’s going to be a weird year for baseball. Many have commented how the shortened season could lead to some weird final results, with highest ranked teams finishing lower than expected or some pretty bad teams ending with a decent record. This is because the outcome of any one game of baseball contains relatively little information about which team is actually better in the long run.
The question then, is what’s the amount of uncertainty we have about how teams will finish compared to a normal season? Seems like a problem for Bayesian statistics …
We’ll build a simple model to predict a team’s wins using their preseason odds of winning the World Series. We’ll use 2019 data to build the model, and then see how how the results change using the 2020 odds comparing a normal season to a short one.
First we’ll scrape the data on 2019 results and odds for 2019 and 2020.
library(tidyverse)
library(rvest)
library(jtcr)
library(ggrepel)
library(scales)
library(rethinking)
theme_set(theme_jtc())
## get 2019 results
results_2019_url <- "https://en.wikipedia.org/wiki/2019_Major_League_Baseball_season"
names_2019 <- c("team", "wins", "losses", "pct", "games_back",
"home", "road")
rename_table <- function(x) {
names(x) <- names_2019
x
}
leagues <- c("ALE", "ALC", "ALW", "NLE", "NLC", "NLW")
results_2019 <- read_html(results_2019_url) %>%
html_nodes(".wikitable .wikitable") %>%
purrr::map(html_table) %>%
map_dfr(rename_table, .id = "league") %>%
na_if(list(games_back = "—")) %>%
mutate(
team = str_remove(team, "\\([0-9]\\)"),
league = leagues[as.numeric(league)]
) %>%
arrange(team)
## get 2019 preseason odds
odds_2019_url <- "https://www.betcris.com/articles/baseball/mlb/mlb-futures-2019-world-series-odds-92616"
odds_2019 <- read_html(odds_2019_url) %>%
html_nodes("h2~ p , p p") %>%
html_text() %>%
.[1:30] %>%
enframe() %>%
select(-name) %>%
separate(value, into = c("team", "odds"), sep = " \\+") %>%
mutate(odds = parse_number(odds),
year = 2019)
## get 2020 preseason odds
odds_2020_url <- "https://www.betcris.com/en/articles/baseball/mlb/mlb-baseball-world-series-odds-97157"
odds_2020 <- read_html(odds_2020_url) %>%
html_nodes("td") %>%
html_text() %>%
.[2:31] %>%
enframe() %>%
select(-name) %>%
separate(value, into = c("team", "odds"), sep = " \\+") %>%
mutate(odds = parse_number(odds),
year = 2020,
team = str_replace(team, "Saint", "St."))
odds <- bind_rows(odds_2019, odds_2020) %>%
arrange(team)
First let’s take a look at the distributions. Below is a plot that shows win percentage of a team that is expected to win 50% of their games based on 100,000 simulations of seasons either normal lengths (162 games) or shortened (60 games).
short <- rbinom(1e5, 60, prob = 0.5) / 60
long <- rbinom(1e5, 162, prob = 0.5) / 162
tibble(short, long) %>%
gather() %>%
ggplot(aes(value, fill = key, color = key)) +
geom_density(bw = 0.02, alpha = 0.5) +
scale_x_continuous(labels = percent) +
labs(title = "Simulated win percentage for a team with 50% win probability",
subtitle = "based on 100,000 simulations",
x = "win percentage",
y = "density")
short_40 <- pbinom(60 * 0.4, 60, prob = 0.5)
long_40 <- pbinom(162 * 0.4, 162, prob = 0.5)
In our imaginary world where this team has a 50% probability of winning every game, in short season that team would end up winning 40% or fewer of its games 7.8% of the time, while in a normal season that would only happen 0.5%of the time.
We’ll build a model to predict win percentage based on preseason odds of winning the World Series. Below are those odds:
odds %>%
mutate(team = fct_reorder(team, -odds)) %>%
ggplot(aes(team, odds, color = factor(year))) +
geom_point(size = 2) +
coord_flip() +
scale_y_continuous(labels = function(x) paste0("+", comma(x)),
trans = "log10") +
labs(title = "Comparing World Series champion odds between years",
y = "odds of winning World Series (log scale)",
x = "",
color = "season",
caption = "odds from betcris.com")
And below is how the 2019 odds compared to each time’s final regular season win percentage:
odds %>%
filter(year == 2019) %>%
inner_join(results_2019, by = "team") %>%
ggplot(aes(odds, pct)) +
geom_point() +
geom_text_repel(aes(label = team)) +
scale_x_log10(labels = scales::comma) +
scale_y_continuous(labels = scales::percent) +
labs(x = "preseason World Series odds",
title = "Preseason World Series odds and final win percentage",
subtitle = "2019 season",
y = "win percentage")
Our model is a logistic regression that looks like:
\[ W_i \sim {\sf Binom}(n, p_i) \\ logit(p_i) = \alpha + \beta * O_i \\ \alpha \sim \mathcal{N}(0, 1) \\ \beta \sim \mathcal{N}(0, 0.5) \]
where \(W\) is number of wins in a season, \(n\) is the number of games in a season, and \(O\) is the log odds of a team winning the World Series before the season starts.
First, we check our priors to make sure they produce reasonable results.
b_prior <- rnorm(20, 0, 0.5)
a_prior <- rnorm(20, 0, 1)
odds_sample <- 0:12
wins_prior_pred <- crossing(a_prior,
b_prior,
odds = odds_sample) %>%
group_by(odds) %>%
mutate(p = inv_logit(a_prior + b_prior * odds),
group = row_number()) %>%
ungroup()
wins_prior_pred %>%
ggplot(aes(odds, p, group = group)) +
geom_line(alpha = 0.2)
Looks ok to me!
We’ll set-up our and run our model using the rethinking
package as an interface to Stan.
set.seed(2020)
dat_list <- list(
team = as.integer(as.factor(results_2019$team)),
wins = results_2019$wins,
n_games = 162L,
log_odds = log(odds$odds[odds$year == 2019])
)
win_prob_model <- ulam(
alist(
wins ~ binomial(n_games, p),
logit(p) <- a + b * log_odds,
a ~ normal(0, 1),
b ~ normal(0, 0.5)
),
data = dat_list,
chains = 4,
iter = 2000,
cores = parallel::detectCores()
)
precis(win_prob_model)
## mean sd 5.5% 94.5% n_eff Rhat4
## a 1.7592150 0.16142553 1.4906300 2.0136745 849.2970 1.000784
## b -0.2048753 0.01839704 -0.2341585 -0.1747385 855.5019 1.000390
First, we’ll examine how this model performs on the data that we used to train it.
post_dat <- tibble(
n_games = 162,
log_odds = seq(6, 12, by = 0.1)
)
post <- sim(win_prob_model, data = post_dat) / 162
post_mean <- apply(post, 2, mean)
post_pi <- apply(post, 2, PI, prob = 0.95)
post_dat %>%
mutate(post_mean = post_mean,
post_high = post_pi[2, ],
post_low = post_pi[1, ]) %>%
ggplot(aes(log_odds, post_mean)) +
geom_line() +
geom_ribbon(aes(ymin = post_low, ymax = post_high),
alpha = 0.5) +
geom_point(data = as_tibble(dat_list),
aes(y = wins / 162)) +
scale_x_continuous(
labels = function(x)
paste0("+", comma(round(exp(x), 0)))
) +
scale_y_continuous(labels = percent) +
labs(y = "win percentage",
title = "Comparing model predictions to actual results from 2019 season",
subtitle = "shared area shows 90% interval of simulated outcomes",
x = "preseason WS odds (log scale)")
The model looks like it makes reasonable predictions. There’s a little bit more uncertainty in reality than the model predicts - the 90% interval has fewer than 90% of the teams’ actual records in it. But it looks pretty good.
What does it say about what we can expect this season? To figure this out, we’ll run simulated seasons from our model. The binomial distribution takes the form \({\sf Binom}(n, p)\) where \(n\) is the number of trials and \(p\) is the probability of success. We can run our simulations twice, once using \(n = 162\) for a full season and once using \(n = 60\) for the short season. Then we examine the distribution of percentages.
set.seed(2020)
pred_dat_short <- odds %>%
filter(year == 2020) %>%
mutate(log_odds = log(odds),
n_games = 60)
pred_dat_full <- odds %>%
filter(year == 2020) %>%
mutate(log_odds = log(odds),
n_games = 162)
preds_short <- sim(win_prob_model,
post = extract.samples(win_prob_model),
data = pred_dat_short)
pred_pi_short <- apply(preds_short, 2, PI)
preds_full <- sim(win_prob_model,
post = extract.samples(win_prob_model),
data = pred_dat_full)
pred_pi_full <- apply(preds_full, 2, PI)
pred_dat_short %>%
mutate(high_short = pred_pi_short[2, ] / 60,
low_short = pred_pi_short[1, ] / 60,
high_full = pred_pi_full[2, ] / 162,
low_full = pred_pi_full[1, ] / 162) %>%
gather(type, val, high_short:low_full) %>%
separate(type, into = c("int", "season")) %>%
spread(int, val) %>%
mutate(team = fct_reorder(team, high)) %>%
ggplot(aes(team, color = season)) +
geom_errorbar(aes(ymin = low, ymax = high),
size = 1, position = "dodge") +
coord_flip() +
scale_y_continuous(labels = scales::percent) +
labs(y = "win percentage",
x = "",
color = "season length",
title = "Range of win percentages wider in the short season",
subtitle = "bars show 90% intervals of 4000 of 2020 season")
Clearly there is a much wider range of plausible outcomes for the short season. But those ranges look pretty wide in either scenario, and just looking at win percentage doesn’t really tell the whole story. Really we’re concerned with the variation in the possible final positions of each team within their division. So how does that change?
team_names <- results_2019 %>%
mutate(team_num = as.integer(as.factor(results_2019$team))) %>%
select(team_num, team, league)
count_outcomes <- function(preds, n_games) {
preds %>%
as.data.frame() %>%
gather(team_num, wins) %>%
mutate(
n_games = n_games,
pct = wins / n_games,
team_num = as.integer(str_remove(team_num, "V")),
) %>%
left_join(team_names, by = "team_num") %>%
group_by(team) %>%
mutate(sim = row_number()) %>%
ungroup()
}
outcomes <- bind_rows(
count_outcomes(preds_short, 60),
count_outcomes(preds_full, 162)
)
outcomes_summary <- outcomes %>%
group_by(sim, league, type = if_else(n_games == 60, "short", "full")) %>%
arrange(desc(pct)) %>%
mutate(position = row_number()) %>%
ungroup() %>%
group_by(team, league, type) %>%
count(position) %>%
mutate(pct = n / sum(n)) %>%
ungroup()
outcomes_summary %>%
mutate(team = fct_rev(fct_reorder2(team, position, pct, weighted.mean))) %>%
ggplot(aes(position, pct, fill = type)) +
geom_col(position = "dodge") +
facet_wrap(league ~ team, ncol = 5) +
scale_y_continuous(labels = percent) +
labs(x = "division rank",
y = "percent of simulations",
title = "Final division position of different season outcomes",
subtitle = "Based on 4000 simulations each of full and shortened seasons")
Some things really stand out here. First, at the extreme ranges, there isn’t actually that much variation. Its really unlikely the Yankees or Dodgers finish out of first, and its also really unlikely that the worst teams - Marlins and Orioles - will finish above last.
A lot of these divisions have a lot of potential outcomes regardless of whether it’s a short or long season. For example, this model predicts that the Cardinals or the Braves could finish first or fourth regardless of how long the season is.
Where things will potentially shake out in weird ways is in the middle of the pack. The table below shows the teams where the difference in the likelihood of a team finishing in a particular position between the shortened and a full season. The Blue Jays and the Royals both finish in fourth around 75% of time in the full season but just 55% of the time in the shortened season.
greatest_differences <- outcomes_summary %>%
complete(team, position, type, fill = list(n = 0, pct = 0)) %>%
group_by(team, position) %>%
summarise(dif = pct[type == "full"] - pct[type == "short"]) %>%
ungroup() %>%
top_n(10, abs(dif))
outcomes_summary %>%
semi_join(greatest_differences, by = c("team", "position")) %>%
select(-n) %>%
spread(type, pct) %>%
mutate(difference = round((full - short) * 100, 2)) %>%
arrange(desc(abs(difference))) %>%
mutate_at(vars(full, short), percent, 0.01) %>%
knitr::kable()
| team | league | position | full | short | difference |
|---|---|---|---|---|---|
| Tampa Bay Rays | ALE | 2 | 66.62% | 45.02% | 21.60 |
| Toronto Blue Jays | ALE | 4 | 75.95% | 54.62% | 21.32 |
| Kansas City Royals | ALC | 4 | 76.55% | 55.97% | 20.57 |
| Texas Rangers | ALW | 4 | 56.57% | 38.55% | 18.02 |
| Boston Red Sox | ALE | 3 | 55.95% | 38.22% | 17.73 |
| Seattle Mariners | ALW | 5 | 91.00% | 73.68% | 17.33 |
| Colorado Rockies | NLW | 4 | 54.00% | 36.75% | 17.25 |
| San Francisco Giants | NLW | 5 | 81.55% | 64.32% | 17.23 |
| Pittsburgh Pirates | NLC | 5 | 94.82% | 78.00% | 16.83 |
| Houston Astros | ALW | 1 | 76.35% | 61.70% | 14.65 |
| New York Yankees | ALE | 1 | 94.68% | 80.02% | 14.65 |
The baseball season will potentially shake out in really interesting ways this year. Some of this is due to the shortened season, and some of this is due existing parity in baseball.


--- creation_epoch:<PHONE_NUMBER> lastmod_epoch:<PHONE_NUMBER> categories: ['Tech Tricks'] title: Subnet range generator ---
This will generate the network address ranges of subnets from an initial super-block of a network. You provide the supernet network address and mask size (bits), the desired sub-networks mask size, and a calculation of all the possible ranges is provided.
TODO ipv6


Thence all evil broods were born, ogres and elves and evil spirits —the giants also, who long time fought with God, for which he gave them their reward —John R. Clark Hall, tr. (1901)
Orcs are of human shape, of varying size but always smaller than Men.  They are fanged, bow-legged and long-armed and some have dark skin as if burned. In a private letter, Tolkien describes them as "squat, broad, flat-nosed, sallow-skinned, with wide mouths and slant eyes.
Games Workshop's Warhammer Fantasy and Warhammer 40,000 games feature Orcs ('Orks' in Warhammer 40,000). The latter setting is unique for featuring Orks in a science fiction environment that are capable of building crude, but functional vehicles, firearms and even spaceships.
Orcs are one of the most important races in the Warcraft computer game series. Originally presented as a race of typically savage monsters, more recent Warcraft games have revised their image into that of "savage but noble" warriors and shamans.


To-do list for the Lua/APR binding
New features
- Encrypted network communication. It appears that APR itself doesn’t support this but clearly it’s possible because there are dozens of projects that use APR and support encrypted network communication (the Apache HTTP server, ApacheBench, Tomcat, etc.)
- Make it possible to enable text mode for files, pipes and sockets on platforms where there is no distinction between text/binary mode (because
CR
+ LF
→ LF
translation can be useful on UNIX as well)
Known problems
- Find out why
apr.xlate()
doesn’t work on Windows (I can’t seem to get apr_iconv
working on Windows)
- Zhiguo Zhao mentioned that he’s using
apr.xlate()
on Windows using the original libiconv
instead of apr_iconv
(see issue #11)
- Investigate escaping problem in
apr_proc_create()
as found by the test for the apr.namedpipe_create()
function (see etc/tests.lua
around line 625)
- Why is the DBD
LD_PRELOAD
trick needed?! More information
Anything else?
- Propose the libapreq2 binding for inclusion as the official Lua language binding of libapreq2? (first make the binding a lot more complete)
- Maybe I shouldn’t be using
atexit()
to call apr_terminate()
? (BTW the whole linked blog post is interesting, as is the follow-up post)


Disregarding the style of the page: https://forms.gle/qjz8MKR4YXWkWCVLA
Try to replicate the format of the form in the page. Make use of "Label", "Input" and "Table".


Exceptional Information Technology specialist with over 5 years of experience designing and executing advanced manual and automation testing strategies for complex software applications. Expert-level skills in developing automation test frameworks, test result dashboards, and internal tools which reduce false positives, page load, and development time, while significantly increasing software accuracy, efficiency, and performance.


|
OABuilder will save an OAModel to a file with the default suffix ".obx". The file
is created as a text file using XML formatting.
To save the Model, choose one of the following:
|
| As with any software, it is advised to frequently save your work and to also have backup copies created on a regular basis. OABuilder currently keeps a copy of each saved file in a backup directory, located where OABuilder is running. |


Its me Thanga (preferred to call) with 8 years of experience in big data and building data products. Implemented multiple data engineering projects across many domains such as Retail, Market Research, Finance, and Healthcare. Deep knowledge of Hadoop, Spark, Flume, Hive, NiFi, Kafka, Solr, ELK (Elasticsearch, Logstash, Kibana), MongoDB, Neo4j. Acquired programming knowledge in Python, SQL. Having hands-on dirty data to curated data.
Accumulate massive, complex data sets that meet functional / non-functional business requirements. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS Stack. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Building Data Lake for our retail customers using AWS stack and providing curated data to data science team based on their use case requirements. Also handing all Research and Development projects with 5-8 team members. Giving my knowledge to junior data engineers by providing pieces of training.
Understanding client’s requirements and providing suitable analytics bridging the gap between manufacturer and customers. Creating dashboards/reports on sales and customer data for targeting marketing using SQL and Python.
Experience in developing insights based on customer behavior data. Acquired Customer behavior using weblogs using Python and SQL. Playing a key role in the implementation of Big Data initiatives.
Built a centralized data repository by sourcing data from OLTP, FTP, CRM, and application logs for providing a unified data platform for data analytics which was built using AWS tech stack. Building curated datasets for ML engineers to build their models in the cloud. Manageing AWS account and service throughout the organization. Built a high-level API for data access throughout the organization for leveraging big data and cloud within the organization.
Built a python framework for deploying and monitoring Machine learning models. By building a data pipeline to feed data to models in real-time. Providing a dashboard to ML engineers to measure data drift and model drift over time for model enhancement where ML technologies can generate business value by swiftly and reliably building, testing, scaling, and deploying ML technology into production.
Providing sales benchmarks based on different demography such as location, trade category. By Collection sales data of all clients create Spark jobs for data transformation and aggregation and jobs to get a summary table from a large data set that reduces the workload on report generation. Data cleansing and some pre-processing methods for the data science team creating KPI for clients so that they can easily find out how they improve their business strategy.
Recommend whether the new store location able to get more profit or not. As a data engineer Identifying trusted data sources for the new store location recommendation engine. Developing data pipeline using Python to extract relevant data from open data and Google place API. Extract data from many websites using python web scraping. The challenges are building a relationship between heterogeneous open data and providing business insights. Creating distance matrix between provided store location any nearby location to generate the scores.
Create a travel schedule for auditors to visit nearby stores based on the auditor's Location. As a Team Member of this project provided an Open Source Solution for Route Optimization. Setting up OSRM (Open Street Routing Machine) in Centos for finding the fastest path between two geo-points using OSRM. Providing Adhoc routes to the auditor in real-time with low time latency by implementing OSRM instead of a commercial product as a cost-saving to the business.
Enables GSD (Global Store Data) to accept data from multiple data sources and perform matching in such a way that only one golden copy of the store is retained. Performs the matching across various attributes and gives match score for all the matches displayed. Building data migration framework using Python to copy data from Oracle to Apache Solr.
Detect plagiarism in the assignments submitted by students online. Setting up Apache Hadoop environment for development and Hortonworks for production. Handling a massive volume of unstructured data. Building content extractor from DOC, DOCX, and PDF using Apache TIKA and load it in HDFS. Leveraging Jaccard co-efficient Algorithm for getting scores by comparing all documents in the repository. Creating external tables in HIVE for reporting and creating Hive Queries for reporting. Performance improvement through Apache Tez for Hive. Creating file watcher for student assignments to move files to HDFS using Apache Flume. Moving structural data to MySQL using SQOOP for reporting.
The purpose of project is to create application which can pull streaming Twitter data into Bigdata environment HDFS and Elasticsearch. The dashboard has been visualize using Kibana. Then named entity extraction done using spark and stored in Neo4j as a batch. Using Neo4j data an interactive network Visualization has been developed using Vis.js.
Configuring Flume agents and Hadoop/Elasticsearch sink for capturing real-time data for web server logs. Extracting useful information of web server log like user info, time stamps, the web page accessed, IP, The weblog is generated in large volume daily of a minimum of 20 GB. Creating HIVE external tables and Queries for reporting in Hive data warehouse. Performance improvement through Apache Tez for HIVE and providing Kibana GUI for exploration of weblog data using Elasticsearch.
In the Insurance Company claims are submitted, out of which few claims can be fraud. Job involves gathering requirements and setting up a design for dataflow. Creating ETL mappings and loading data into the database for report generation. The idea of the work is to find the fraudulent claims and analyze the factors which normally makes a claim a fraudulent claim like high claim amount, number of parts damaged etc.


|
Study Bounds
|
Study Strategy
|
Filter Criteria
[
{{totalCards}} cards selected,
~duration {{$parent.projectedDuration | duration}}
]
|


Come end join in our team
Careers at Anthony Harper
Careers at Anthony Harper We are growing fast. This growth comes from type of law firm - one our vision to be a new with people within it who demonstrate a genuine willingness to take a pragmatic, whole of business approach to legal challenges and opportunities that businesses face, and to provide that 'personal touch'. View Job Openings
View Job Openings
Come end join in our team
Careers at Anthony Harper
Careers at Anthony Harper We are growing fast. This growth comes from type of law firm - one our vision to be a new with people within it who demonstrate a genuine willingness to take a pragmatic, whole of business approach to legal challenges and opportunities that businesses face, and to provide that 'personal touch'. View Job Openings
View Job Openings
Come end join in our team
Careers at Anthony Harper
Careers at Anthony Harper We are growing fast. This growth comes from type of law firm - one our vision to be a new with people within it who demonstrate a genuine willingness to take a pragmatic, whole of business approach to legal challenges and opportunities that businesses face, and to provide that 'personal touch'. View Job Openings
View Job Openings
01


(Delivered at the Sesame Club, London)
Two forces seem to be working throughout nature. One of these is constantly differentiating, and the other is as constantly unifying; the one making more and more for separate individuals, the other, as it were, bringing the individuals into a mass, bringing out sameness in the midst of all this differentiation. It seems that the action of these two forces enters into every department of nature and of human life. On the physical plane, we always find the two forces most distinctly at work, separating the individuals, making them more and more distinct from other individuals, and again making them into species and classes, and bringing out similarities of expressions, and form. The same holds good as regards the social life of man. Since the time when society began, these two forces have been at work, differentiating and unifying. Their action appears in various forms, and is called by various names, in different places, and at different times. But the essence is present in all, one making for differentiation, and the other for sameness; the one making for caste, and the other breaking it down; one making for classes and privileges, and the other destroying them. The whole universe seems to be the battle-ground of these two forces. On the one hand, it is urged, that though this unifying process exists, we ought to resist it with all our might, because it leads towards death, that perfect unity is perfect annihilation, and that when the differentiating process that is at work in this universe ceases, the universe comes to an end. It is differentiation that causes the phenomena that are before us; unification would reduce them all to a homogeneous and lifeless matter. Such a thing, of course, mankind wants to avoid. The same argument is applied to all the things and facts that we see around us. It is urged that even in physical body and social classification, absolute sameness would produce natural death and social death. Absolute sameness of thought and feeling would produce mental decay and degeneration. Sameness, therefore, is to be avoided. This has been the argument on the one side, and it has been urged in every country and in various times, with only a change of language. Practically it is the same argument which is urged by the Brahmins of India, when they want to uphold the divisions and castes, when they want to uphold the privileges of a certain portion of the community, against everybody else. The destruction of caste, they declare, would lead to destruction of society, and boldly they produce the historical fact that theirs has been the longest-lived society. So they, with some show of force, appeal to this argument. With some show of authority they declare that that alone which makes the individual live the longest life must certainly be better than that which produces shorter lives.
On the other hand, the idea of oneness has had its advocates throughout all times. From the days of the Upanishads, the Buddhas, and Christs, and all other great preachers of religion, down to our present day, in the new political aspirations, and in the claims of the oppressed and the downtrodden, and of all those who find themselves bereft of privileges — comes out the one assertion of this unity and sameness. But human nature asserts itself. Those who have an advantage want to keep it, and if they find an argument, however one-sided and crude, they must cling to it. This applies to both sides.
Applied to metaphysics, this question also assumes another form. The Buddhist declares that we need not look for anything which brings unity in the midst of these phenomena, we ought to be satisfied with this phenomenal world. This variety is the essence of life, however miserable and weak it may seem to be; we can have nothing more. The Vedantist declares that unity is the only thing that exists; variety is but phenomenal, ephemeral and apparent. "Look not to variety," says the Vedantist, "go back to unity." "Avoid unity; it is a delusion," says the Buddhist, "go to variety." The same differences of opinion in religion and metaphysics have come down to our own day, for, in fact, the sum-total of the principles of knowledge is very small. Metaphysics and metaphysical knowledge, religion and religious knowledge, reached their culmination five thousand years ago, and we are merely reiterating the same truths in different languages, only enriching them sometimes by the accession of fresh illustrations. So this is the fight, even today. One side wants us to keep to the phenomenal, to all this variation, and points out, with great show of argument, that variation has to remain, for when that stops, everything is gone. What we mean by life has been caused by variation. The other side, at the same time, valiantly points to unity.
Coming to ethics, we find a tremendous departure. It is, perhaps, the only science which makes a bold departure from this fight. For ethics is unity; its basis is love. It will not look at this variation. The one aim of ethics is this unity, this sameness. The highest ethical codes that mankind has discovered up to the present time know no variation; they have no time to stop to look into it; their one end is to make for that sameness. The Indian mind, being more analytical — I mean the Vedantic mind — found this unity as the result of all its analyses, and wanted to base everything upon this one idea of unity. But as we have seen, in the same country, there were other minds (the Buddhistic) who could not find that unity anywhere. To them all truth was a mass of variation, there was no connection between one thing and another.
I remember a story told by Prof. Max Müller in one of his books, an old Greek story, of how a Brahmin visited Socrates in Athens. The Brahmin asked, "What is the highest knowledge?" And Socrates answered, "To know man is the end and aim of all knowledge." "But how can you know man without knowing God?" replied the Brahmin. The one side, the Greek side, which is represented by modern Europe, insisted upon the knowledge of man; the Indian side, mostly represented by the old religions of the world, insisted upon the knowledge of God. The one sees God in nature, and the other sees nature in God. To us, at the present time, perhaps, has been given the privilege of standing aside from both these aspects, and taking an impartial view of the whole. This is a fact that variation exists, and so it must, if life is to be. This is also a fact that in and through these variations unity must be perceived. This is a fact that God is perceived in nature. But it is also a fact that nature is perceived in God. The knowledge of man is the highest knowledge, and only by knowing man, can we know God. This is also a fact that the knowledge of God is the highest knowledge, and knowing God alone we can know man. Apparently contradictory though these statements may appear, they are the necessity of human nature. The whole universe is a play of unity in variety, and of variety in unity. The whole universe is a play of differentiation and oneness; the whole universe is a play of the finite in the Infinite. We cannot take one without granting the other. But we cannot take them both as facts of the same perception, as facts of the same experience; yet in this way it will always go on.
Therefore, coming to our more particular purpose, which is religion rather than ethics, a state of things, where all variation has died down, giving place to a uniform, dead homogeneity, is impossible so long as life lasts. Nor is it desirable. At the same time, there is the other side of the fact, viz that this unity already exists. That is the peculiar claim — not that this unity has to be made, but that it already exists, and that you could not perceive the variety at all, without it. God is not to be made, but He already exists. This has been the claim of all religions. Whenever one has perceived the finite, he has also perceived the Infinite. Some laid stress on the finite side, and declared that they perceived the finite without; others laid stress on the Infinite side, and declared they perceived the Infinite only. But we know that it is a logical necessity that we cannot perceive the one without the other. So the claim is that this sameness, this unity, this perfection — as we may call it — is not to be made, it already exists, and is here. We have only to recognise it, to understand it. Whether we know it or not, whether we can express it in clear language or not, whether this perception assumes the force and clearness of a sense-perception or not, it is there. For we are bound by the logical necessity of our minds to confess that it is there, else, the perception of the finite would not be. I am not speaking of the old theory of substance and qualities, but of oneness; that in the midst of all this mass of phenomena, the very fact of the consciousness that you and I are different brings to us, at the same moment, the consciousness that you and I are not different. Knowledge would be impossible without that unity. Without the idea of sameness there would be neither perception nor knowledge. So both run side by side.
Therefore the absolute sameness of conditions, if that be the aim of ethics, appears to be impossible. That all men should be the same, could never be, however we might try. Men will be born differentiated; some will have more power than others; some will have natural capacities, others not; some will have perfect bodies, others not. We can never stop that. At the same time ring in our ears the wonderful words of morality proclaimed by various teachers: "Thus, seeing the same God equally present in all, the sage does not injure Self by the Self, and thus reaches the highest goal.  Therefore such are said to be living in God." We cannot deny that this is the real idea; yet at the same time comes the difficulty that the sameness as regards external forms and position can never be attained.
But what can be attained is elimination of privilege. That is really the work before the whole world. In all social lives, there has been that one fight in every race and in every country. The difficulty is not that one body of men are naturally more intelligent than another, but whether this body of men, because they have the advantage of intelligence, should take away even physical enjoyment from those who do not possess that advantage. The fight is to destroy that privilege. That some will be stronger physically than others, and will thus naturally be able to subdue or defeat the weak, is a self-evident fact, but that because of this strength they should gather unto themselves all the attainable happiness of this life, is not according to law, and the fight has been against it. That some people, through natural aptitude, should be able to accumulate more wealth than others, is natural: but that on account of this power to acquire wealth they should tyrannize and ride roughshod over those who cannot acquire so much wealth, is not a part of the law, and the fight has been against that. The enjoyment of advantage over another is privilege, and throughout ages, the aim of morality has been its destruction. This is the work which tends towards sameness, towards unity, without destroying variety.
Let all these variations remain eternally; it is the very essence of life. We shall all play in this way, eternally. You will be wealthy, and I shall be poor; you will be strong, and I shall be weak; you will be learned and I ignorant; you will be spiritual, and I, less so. But what of that? Let us remain so, but because you are physically or intellectually stronger, you must not have more privilege than I, and that you have more wealth is no reason why you should be considered greater than I, for that sameness is here, in spite of the different conditions.
The work of ethics has been, and will be in the future, not the destruction of variation and the establishment of sameness in the external world — which is impossible for it would bring death and annihilation — but to recognise the unity in spite of all these variations, to recognise the God within, in spite of everything that frightens us, to recognise that infinite strength as the property of everyone in spite of all apparent weakness, and to recognise the eternal, infinite, essential purity of the soul in spite of everything to the contrary that appears on the surface. This we have to recognise. Taking one side alone, one half only of the position, is dangerous and liable to lead to quarrels. We must take the whole thing as it is, stand on it as our basis and work it out in every part of our lives, as individuals and as unit members of society.


Feed-forward neural networks with a single hidden layer and lagged inputs for forecasting univariate time series.
nnetar(y, p, P = 1, size, repeats = 20, xreg = NULL, lambda = NULL, model = NULL, subset = NULL, scale.inputs = TRUE, x = y, ...)
| y | A numeric vector or time series of class |
|---|---|
| p | Embedding dimension for non-seasonal time series. Number of non-seasonal lags used as inputs. For non-seasonal time series, the default is the optimal number of lags (according to the AIC) for a linear AR(p) model. For seasonal time series, the same method is used but applied to seasonally adjusted data (from an stl decomposition). |
| P | Number of seasonal lags used as inputs. |
| size | Number of nodes in the hidden layer. Default is half of the number of input nodes (including external regressors, if given) plus 1. |
| repeats | Number of networks to fit with different random starting weights. These are then averaged when producing forecasts. |
| xreg | Optionally, a vector or matrix of external regressors, which
must have the same number of rows as |
| lambda | Box-Cox transformation parameter. |
| model | Output from a previous call to |
| subset | Optional vector specifying a subset of observations to be used
in the fit. Can be an integer index vector or a logical vector the same
length as |
| scale.inputs | If TRUE, inputs are scaled by subtracting the column
means and dividing by their respective standard deviations. If |
| x | Deprecated. Included for backwards compatibility. |
| … | Other arguments passed to |
Returns an object of class "nnetar
".
The function summary
is used to obtain and print a summary of the
results.
The generic accessor functions fitted.values
and residuals
extract useful features of the value returned by nnetar
.
A list containing information about the fitted model
The name of the forecasting method as a character string
The original time series.
The external regressors used in fitting (if given).
Residuals from the fitted model. That is x minus fitted values.
Fitted values (one-step forecasts)
Other arguments
A feed-forward neural network is fitted with lagged values of y
as
inputs and a single hidden layer with size
nodes. The inputs are for
lags 1 to p
, and lags m
to mP
where
m=frequency(y)
. If xreg
is provided, its columns are also
used as inputs. If there are missing values in y
or
xreg
, the corresponding rows (and any others which depend on them as
lags) are omitted from the fit. A total of repeats
networks are
fitted, each with random starting weights. These are then averaged when
computing forecasts. The network is trained for one-step forecasting.
Multi-step forecasts are computed recursively.
For non-seasonal data, the fitted model is denoted as an NNAR(p,k) model, where k is the number of hidden nodes. This is analogous to an AR(p) model but with nonlinear functions. For seasonal data, the fitted model is called an NNAR(p,P,k)[m] model, which is analogous to an ARIMA(p,0,0)(P,0,0)[m] model but with nonlinear functions.
lines(lynx)## Fit model to first 100 years of lynx data fit <- nnetar(window(lynx,end=1920), decay=0.5, maxit=150) plot(forecast(fit,h=14))lines(lynx)## Apply fitted model to later data, including all optional arguments fit2 <- nnetar(window(lynx,start=1921), model=fit)


My name is Jakub and I am an indie game developer from Poznań, Poland. Currently I am working on my own couch game. If you'd like to work together with me feel free to mail me!


Quantify aggregated customer needs
Monitor the development of different needs over time
Learn more about which users express which needs
Business success is not random. Use the relevant data we gather for you and bring your innovation process to the next level.
Automatically identifying the instances on social media that do contain valuable customer need insights is like finding needles in the haystack. Thanks to our sophisticated and innovative machine learning techniques, we are able to identify these instances automatically – So you don’t miss out on any potential insight and you don’t need to look yourself. All done fully automatable and in a convenient way.
Automatically find out which greater overall needs your customers have – and directly know what currently expressed inconveniences, wants, demands and requirements are. Address those needs in improved products or services – or create innovative new ones for a better and successful market penetration.
Find out which overall needs are expressed how often – relatively and absolute. Prioritize your own innovation activities to address the most important concerns first and don’t waste time and money on insignificant requirements your customers don’t care about.
Customer needs change over time – be there and ready when it happens. The monitoring allows you to track different needs and forecast their development based on predictive analytics.


I'M SUSHANT GAURAV
A Junior year student, pursuing my bachelors in Computer Science and Engineering. I am a pragmatic
programmer who loves to create major and minor projects. I am a Technical Content Writer Intern at
GeeksForGeeks and a Participant contributing to open-source projects in GSSoc'21.
I am also a Microsoft Learn Student Ambassador - βeta. I am a Software Developer with an
experience in C/C++, Python, Data Structures, Algorithm, Technical Content Writing and Front End Web
Development.
Thanks again for reading this, Nice meeting You :)
Lets Connect :
Checkout my Competitive Programming Profiles :
About Me


--- layout: default title: Events & Conferences ---
As part of the Art Information Commons, we are hosting various lectures, panels, workshops, and events which external colleagues are welcome to join. Sign up for our Art Information Commons Google Group to stay informed.
{% if post.description %}{{ post.description }}{% else %}{{ post.excerpt | strip_html }}{% endif %}
The Art Information Commons at the Philadelphia Museum of Art has been made possible by the Mellon Foundation.


Pig Dice
SCORE:
Rules of the game!
- Each turn, a player repeatedly rolls a die until either a 1 is rolled or the player decides to "hold"
- If a player rolls a 1 their turn is over, they lose all points they accumulated that turn, and pass the die to the next player.
- If the player rolls any other number, it is added to their turn total and the player's turn continues.
- If a player chooses to "hold", their turn total is added to their score, and it becomes the next player's turn.
- The WINNER is the first player to score 100 or more points.
SCORE:


Launched Spring 2019
Taylor University censored its student press, so I researched how 136 sister institutions treated their student newspapers, then sparked a national conversation and change.
Press coverage [1], [2],[3],[4]
Our process
Research Website
Research
Advocacy
Leadership


About me
TL;DR:
I'm a Marketing student with a really strong passion for humanity, technology and progress who is teaching himself how to code and design!
Portfolio
Let's embrace Customers
Let's solve Problems
Let's get Creative
Let's reach Goals


Computer science has been an integral part of my life from a young age and I obtain a great deal of pleasure from passing on my passion for technology to the next generation. I am also keen to use this blog to share my thoughts on the best ways to engage children from all backgrounds with computer science and contribute teaching resources where possible, as a computer science professional (but not an educator). This first postIt is traditional that the first computer program that you write displays the text 'Hello, World!' and is named as such. introduces the Code Club initiative with which I have recently become involved and expresses why I find computer science so exciting.


Compatibility: This package is compatible with iOS iOS 8 to 15.0.
FEATURES:
Protect online privacy
Enjoy the freedom of the internet while staying safe and private. Get a high level of security for your personal data when using Wi-Fi hotspots in public places.
Browse anonymously
Remain anonymous when browsing websites with dynamic IP addresses. You can access any website and application anonymously without being tracked.
The best servers for speed and reliability
Automatically connect to the fastest VPN servers based on your location.
Most safe and easy to use
We do not keep any logs regarding your online activities.
You can upgrade to the Premium version to get more servers and get rid of ads.
You can choose from the following 3 subscription packages:
Note:
You can trial premium features for 7 days
Payment will be charged to iTunes Account at confirmation of purchase
Subscriptions automatically renew if auto-renew is not turned off at least 24 hours before the end of the current period.
The account will be billed for renewal 24 hours prior to the end of the current period, and identify the cost of the renewal
Subscriptions can be managed by the user and auto-renewal can be disabled via User Account Settings after purchase
No cancellation of the current subscription is allowed during the active subscription period.
INSTALL NOW


Mapcache can currently generate maps from the following formats:
Map preview
Creating map...
Upload Progress


--- layout: layout redirect_from: "/beta" title: "Home" ---
I am a sophomore at UC Berkeley studying Computer Science. In my free time, I enjoy playing poker, taking pictures, and cycling.


Some examples:
The RSS icon in the following screenshot represents a page action that lets you subscribe to the RSS feed for the current page.
Hidden page actions appear grayed out. For example, the RSS feed below is grayed out, as you can't subscribe to the feed for the current page:
Please consider using a browser action instead, so that users can always interact with your extension.
Register your page action in the extension manifest like this:
{ "name": "My extension", ... "page_action": { "default_icon": { // optional "16": "images/icon16.png", // optional "24": "images/icon24.png", // optional "32": "images/icon32.png" // optional }, "default_title": "Google Mail", // optional; shown in tooltip "default_popup": "popup.html" // optional }, ... }
You can provide any size icon to be used in Chrome, and Chrome will select the closest one and scale it to the appropriate size to fill the 16-dip space. However, if the exact size isn't provided, this scaling can cause the icon to lose detail or look fuzzy.
Since devices with less-common scale factors like 1.5x or 1.2x are becoming more common, you are encouraged to provide multiple sizes for your icons. This also ensures that if the icon display size is ever changed, you don't need to do any more work to provide different icons!
The old syntax for registering the default icon is still supported:
{ "name": "My extension", ... "page_action": { ... "default_icon": "images/icon32.png" // optional // equivalent to "default_icon": { "32": "images/icon32.png" } }, ... }
Like browser actions, page actions can have an icon, a tooltip, and popup; they can't have badges, however. In addition, page actions can be grayed out. You can find information about icons, tooltips, and popups by reading about the browser action UI.
You make a page action appear and be grayed out using the $(ref:pageAction.show) and $(ref:pageAction.hide) methods, respectively. By default, a page action appears grayed out. When you show it, you specify the tab in which the icon should appear. The icon remains visible until the tab is closed or starts displaying a different URL (because the user clicks a link, for example).
For the best visual impact, follow these guidelines:
You can find simple examples of using page actions in the examples/api/pageAction directory. For other examples and for help in viewing the source code, see Samples.


:#/
Smart
MTk
settings
exit_to_app
STATUS:
RUN
ALARM:
NO ALARMS
DEFUSE
MOTION DETECTION:
INACTIVE
START
Forward - Backward
Left - Right
You can also control SmartMTk with
WSAD
keys.


Using Enumerable#group_by
A quick way to organize data
December 9, 2015
Hello again. I can't believe it's already the fifth week of Dev Boocamp - time is really flying. We've been studying Ruby for the past week and a half and I've learned a lot in a short time. In my last post we looked at the differences between a hash and an array. To really solidify this concept I'm going to discuss a method that takes data (this could be an array) and returns a hash grouped by a given condition. This is called the .group_by method.
So let's look at a really simple example to get a feel for how it works:
(1..10).group_by {|n| n % 2 == 0}
OUTPUT:
{false=>[1, 3, 5, 7, 9], true=>[2, 4, 6, 8, 10]}
So what we did was call the .group_by method on a range of numbers from 1 to 10. Then we wrote a block of code that iterated over each number in the range and assigned it as either true or false. If a number was evenly divisible by 2 (and therefore even) it was assigned to true; otherwise the number was assigned to false. Notice that the output of this method will always be a hash with an array as the value.
Let's look at one more example that has a little more real world practicality. Let's say we have an array of arrays. Each element in the array contains a student's name and age. We need to quickly group the students by age. This is easily done now that we know the .group_by method:
students = [["Jane", 10], ["Bob", 12], ["Sally", 13], ["Joe", 12], ["Mark", 10], ["Lisa", 13]]
students.group_by {|s| s[1]}
OUTPUT:
{10=>[["Jane", 10], ["Mark", 10]], 12=>[["Bob", 12], ["Joe", 12]], 13=>[["Sally", 13], ["Lisa", 13]]}
As you can see, we called .group_by on the students array. Then we iterated through each element in the array (which was an array itself) and grouped by the second element of the inner array - age. Notice we had to use s[1] to get the second array element because an array's index starts counting at 0.
I think what makes this method unique is the fact that it returns a hash, this can be really useful when you are trying to organize associative data. I hope these examples gave you a better picture of how you can actually start using arrays and hashes to organize data. That's the basis of the .group_by method and I'm hoping you can take these simple examples and apply them to larger problems you may be working on.


United States Voting Resource
Please enter your age
Age
Enter
The age you entered is:
Congratulations on surviving for this long!
Learn where to vote in Washington!
Unfortunately you're too young to vote :(
Visit here to learn about the voting process!


8 SIMPLE RULES TO LEARN TO CODE FRONT-END
TALK BY
IBIYOMI LOIS TANIMOLA
Full-Stack Web Developer @Let’s Code It
FRONT-END WEB DEVELOPMENT
What is front-end?
Front-End Design
Front-End Web Development
WHO IS A FRONT-END WEB DEVELOPER?
A front-end web developer is a person who implements web design using web development tool.
FRONT-END CODING LANGUAGES
Front-end web developers use three primary web development tools which are:
html
css
javascript
- There are also front-end frameworks that developers uses to make their work faster and more efficient, some of this frameworks are:
- JS frameworks: ReactJs, AngularJs, Backbone and Ember.
- Bootsrap for CSS and many more.
CSS PREPROCESSORS
They are elements that a front-end web developers can use to speed up CSS coding.
It adds extra functionality to CSS to keep it scalable and easier to work with.
The two most in-demand preprocessors, according to real job listings is SASS and LESS.
Rule 1: Trick Your Brain with the 20min Rule
The more regularly you learn to code, the more likely it is that you’ll start seeing your ripped coding muscles.
The moment you enter the door and change to new environment is the most crucial moment.
The next step is to develop a habit.
Rule 2: Code for a Purpose. Have a project In Mind.
- Don’t learn to code for the sake of learning to code. You'll find it pretty difficult to get good at it.
- Task your mind to Imagine.
- Create your imagination.
- Work within a defined time frame.
Rule 3: Understand what you’re writing
- Get tutorials that will guide you thoroughly.
- Get tutorials that are meant for your level.
Rule 4:It’s Ok to Not Know
- What you don’t know presents an opportunity to learn and improve.
- When you are stuck try to solve the problem first by yourself.
- Always update yourself on the current trends in the tech world.
- Consulting different tech communities for solution to problems beyond your capabilities does not make you a fraud.
- Bugs are your friend, they are meant to teach you and not discourage you from coding.
Rule 5: Be a Copycat
Try to clone the interface of beautiful websites for the fun of it, they help you grow your skills.
Rule 6: Create a Network and Grow your Network
Try to work with people at the same level as yourself, it will teach you and help you teach.
Integrate yourself into an existing community near you.
Find an icon figure as a mentor.
Where do you find a mentor?
Rule 7: Get into the Habit of Chunking
- Start the chunking using a top-down approach.
- Pick any section and work on it.
- Merge together to see your awesome Job.
Rule 8: Keep Learning
- The world is evolving, if you stay in one place you will eventually be left behind.
- Be a good programmer, a good programmer never stop learning because there are always new trends, new technologies and new languages and you sure don’t want to be left behind.
thank you


|
BeOS Sample Code: Drivers
This directory shows several different examples of how to write device drivers for the BeOS.
For more information, see the corresponding category in the online
Developer Library.
Projects
| EtherPCI | A Net Server add-on, and kernel driver, for NE2000 PCI cards. |
| scsi_raw | A SCSI raw interface driver. |
| inquiry | A command-line application that looks through the SCSI bus
and reports the devices that it finds; it uses the raw SCSI interface. |
| scsi_skel |
A skeleton framework for a SCSI SIM, which... umm... doesn't support a hypothetical Frobozz(tm) SCSI controller |
| buslogic | Intel-compatible machines only: A SCSI bus module for
BusLogic SCSI cards. |
| symbios | Intel-compatible machines only: A SCSI bus module for
Symbios 53c8xx SCSI cards. |
| sonic_vibes | A PCI sound card driver with support for MIDI and joystick ports.
Note: This doesn't come with a PPC project file. It won't work on BeBoxen, but might work on PowerMacs. |
| graphics | This directory contains preliminary sample code and documentation
for writing graphics card drivers for R4 and later versions of the BeOS. |
Back to the Sample Code Category Index
BeOS Release 4.5
Copyright © 1999 Be, Inc.
|


class Psych::Nodes::Sequence
This class represents a YAML sequence.
A YAML sequence is basically a list, and looks like this:
%YAML 1.1 --- - I am - a Sequence
A YAML sequence may have an anchor like this:
%YAML 1.1 --- &A [ "This sequence", "has an anchor" ]
A YAML sequence may also have a tag like this:
%YAML 1.1 --- !!seq [ "This sequence", "has a tag" ]
This class represents a sequence in a YAML document. A Psych::Nodes::Sequence node may have 0 or more children. Valid children for this node are:
Constants
- ANY
Any Styles, emitter chooses
- BLOCK
Block style sequence
- FLOW
Flow style sequence
Attributes
The anchor for this sequence (if any)
Is this sequence started implicitly?
The sequence style used
The tag name for this sequence (if any)
Public Class Methods
Create a new object representing a YAML sequence.
anchor
is the anchor associated with the sequence or nil.
tag
is the tag associated with the sequence or nil.
implicit
a boolean indicating whether or not the sequence was
implicitly started. style
is an integer indicating the list
style.
See Psych::Handler#start_sequence
# File ext/psych/lib/psych/nodes/sequence.rb, line 72 def initialize anchor = nil, tag = nil, implicit = true, style = BLOCK super() @anchor = anchor @tag = tag @implicit = implicit @style = style end


{% extends "main_template.html" %} {% block title %} PalsBet.com - VipTips {% endblock %} {% block header %} {% include "header.html" %} {% endblock %} {% block content %}
We hope to see you again soon.
This page is for those who have subscribed to PalsBet.com services and given login credentials(Username and Password)
If you are one of them click Log In To PalsBet Vip Page button below
If not subscriber


To change this application, update your code and rebuild/redeploy the image.
To change this application, update your code and rebuild/redeploy the image.
To change this application, update your code and rebuild/redeploy the image.
To change this application, update your code and rebuild/redeploy the image.
To change this application, update your code and rebuild/redeploy the image.


Davin Wilkinson
Democrat
Generally hospitality is my career of choice but through the current pandemic I have shifted focus to completing a degree.
In process of completing a B.A. in International Studies with a focus on the global environment, a GIS certificate and a Spanish Minor
80204
In the spring of 2011 Scott Tipton brought me, a young teenager at the time, as a guest on a tour of the capital. Hearing the discussions between legislators and John Boehner from a seat on the floor level of congress forever inspired me to deepen an understanding in the country's political processes. I have not been involved in any campaigns other than promoting social justice and getting friends to vote on social media, but as a young person with a passion for and understanding of political processes in Colorado, I look forward to getting involved. If there are any other opportunities which might correlate to my experience, education, and passion; I would be open to any avenue through which I can participate.
I volunteer weekly with Project Angel Heart. In the summer of 2019 I interned with the City of Aspen Parks and Open Spaces to redesign the city's GIS database and applications. I have donated to and support the Trans Justice Funding Project, Human Rights Campaign, and Amnesty International.
It has been a passion of mine to advocate for LGBTQ rights, especially Trans people of color, as well as to work for the rights of disabled persons. During the quarantine I have applied for many volunteer positions to get involved with organizations, and have had the opportunity to volunteer with Project Angel Heart. In the future I hope to work more with LGBTQ organizations as well as work towards linguistic justice in Colorado.
The people of younger generations are starting to realize our role in promoting what we believe in, and because our institutions are overwhelmingly moderated by a consistent demographic, I want to put in the work to bring change. Growing up in Snowmass Village, Colorado has always been my home and I have spent most of my life exploring and learning about the many people and places which make it such an important place. With experience in GIS/mapping, linguistics (specifically Spanish), and the geography of the state of Colorado, I would proudly treat this opportunity as a way to represent my generation in this process of redesigning the geographic makeup of part of our state's political system. Through applying for this commission, I hope to at least improve the demographics of the applicant pool, and at most step up to the challenges facing our state's future.
Although the definition of fair is subjective in a system which was fundamentally designed to marginalize specific peoples, I understand that the ideological geography can be quite variable in the state of Colorado. It is important that promoting equity in one part of the state doesn't undermine equity in another region.
To better understand linguistic phenomena of a region, there is a dialectological process by which a linguist performs statistical analyses on the occurrence by location of specific words/stems which are associated to a specific dialect; by superimposing the dialectal variations over the geography of an area, the ways that language developments influence and are influenced by geographical and sociopolitical environments can be better understood. This example shows to me just how complex the redistricting process can be, there are so many minute statistical factors which can be investigated to provide better understanding of how political representation should be decided upon in our state.
Trans - Nonbinary


Goethe-Zentrum Atlanta
20 Nov 2019 18:00 - 20:00
Goethe-Zentrum/German Cultural Center Atlanta 1201 Peachtree Street Northeast Atlanta, GA 30361 United States
The climate crisis affects all of us - and it’s up to all of us to solve it! You are invited to join us for an informative evening at the Goethe-Zentrum Atlanta on November 20, 2019, from 6 pm – 8 pm The German Consulate General partnered with the Goethe-Zentrum Atlanta and the Climate Reality Project for November’s European Science Café Event. We will screen a German, English-subtitled, version of the Truth in 10 slideshow - a 10-minute presentation based on the popular and informative An Inconvenient Truth Presentation by former VP Al Gore. Its simple message: the climate crisis is urgent, but the solutions are at hand. After the screening, the Atlanta Chapter of the Climate Reality will feature a Panel Discussion on Climate Change, moderated by Sarah Backhouse. The topic of the Panel will be Climate Change - its effects and what we can do to face those challenges. The event is free and open to the public The Goethe-Zentrum is located at Colony Square in Midtown Atlanta (1201 Peachtree St NE, Atlanta, GA 30361). We would be honored to have you at this event


黒の手番です。32 はどう動かしますか？


FROM:MRS CYNTHIA AMAKA MOBUTU KONA COAST)WEST AFRICAN ATTN; DEAR I am writing to you with my personal respect and delight towards this urgent business transaction as at hand. But briefly, I am CYNTHIA AMAKA MOBUTU KONA. Iam the wife of former President of Republic Democratic of CONGO,(RDC)late President MOBUTU KONA, who died in exile as a result of military / Civilian problems (may his soul rest in peace).There was a deposit of $25 million USDollars, made by my late husband in one of the foreign private security and finance company overseas, which was registered as family valuables. Since then, there has not been good chance to make the withdrawal of the money.But recently, I instructed my uncle to make the withdrawal of the fund, so that we can be able to launch the business we have already proposed in establish in oversea. But latest information, I got from my uncle was that the deposit was made with a foreign name,that I should urgently source for a foreign! partner who will stand as the beneficiary of the fund, so that there will be an easy withdrawal. That all other documents for the withdrawal are very okay. But my condition and my possibilities makes it very difficult for me to approach any person for recommendation, as this business does not in any way requires public advertisement. That is my reason of contacting you for this very important assistance. Only I will not hesitate to giv you the 20 % of the total fund for assistance in this business. Be assured that there is no risk in this business. For there are many other discussions as regards the investment proposal of the fund. So, if you can be able to assist me,please do urgently reply me, and don’t forget to give me your telephone and fax number while replying this letter.Thank you and God bless. Yours sincerely, MRS CYNTHIA AMAKA MOBUTU KONA email.cynthiakonaa@yahoo.com


[El-Kabong Home]
Main Page Compound List File List Compound Members File Members
ekhtml Compound Members
Here is a list of all documented class members with links to the classes they belong to:
Generated on Sun Nov 10 15:54:34 2002 for ekhtml by
1.2.14 written by Dimitri van Heesch,
© 1997-2002


Dialog for the encryption algorithm Homophonic Substitution.
This dialog generates a random key for the Homophonic Substitution algorithm. In the current version of CrypTool it is not possible to enter a user defined key.
The following parameters are relevant for Homophonic Substitution keys:
After having chosen the alphabet and reference file via menu Options \ Text Options, the upper part of the dialog allows you to define the total number of homophones and whether the above formatting characters shall be encrypted or not.
The number of homophones determines bit length of the ciphertext characters. For an alphabet with 1024 homophones, e. g. each cleartext character is encrypted into a number from the range 0,....,1023. Each of those numbers needs 10 bits to be represented uniquely. In that case a 2000 Byte text will be expanded to a ciphertext of 2000 x 10 Bit = 2500 Bytes.
On clicking the button Update
On clicking the button Generate random key a new random homophonic key is computed.
You can encrypt the document by clicking the Encrypt button or pressing the enter key.
The result of encryption is a binary file.
If you want to decrypt an encrypted document, you should have saved the homophonic key before
in the key store
(Saving a key works like this: After activating the encrypted document in the CrypTool
main window then you can copy the homophonic key
via the menu Edit \ Show Key into the
internal key storage by clicking Copy key
in the following dialog).
You can then insert the saved key into this dialog by pressing
(this button is grayed out if no key is available).
To decrypt the document click the Decrypt button.


Each general mechanism can have a number of specific actions. For example a mechanism 'Build more roads' could have these actions assigned:
When playing the game, users are given a fixed number of coins and asked to choose how they would allocate them. Each action is assigned a certain number of coins to indicate relative expense. Some actions may cost nothing.
Each column represents a particular number of coins. Add new action columns to represent a different number of coins.
In addition to cost, each action is given a multiplier to indicate how effective it is in achieving the goals of the mechanism. This multiplier is applied to the scores for each priority (both positive and negative).


Behavior
Usually this Pokemon is calm, but as a predator, quite often it becomes extremely aggressive towards everyone around it.


Brightness (also known as luminance) is a measure of the strength of light that was recorded by the camera sensor. More light results in a larger charge on the sensor, resulting in a higher quantized value and a brighter appearing pixel. The brightest value, 255, is white. The least bright value is 0, which is black. The values between 0 and 255 are varying shades of grey.
Proper exposure is necessary to express picture information. If an image is too dark (or underexposed), it can be brightened to bring out details in darker regions. If an image is overexposed, its brightness can be decreased, though the overexposure may have already resulted in a loss of pixel data. A desirable histogram is centered, without too much concentrated on the left (darker values) or the right (brighter values).
Qualitatively, brighter images tend to connote positive emotions due to their association with light. Darker images, due to the absence of light, connote darker emotions. The manipulation of brightness can impact the emotion of the photograph. Commercial photographs tend to be evenly lit, bright and well-exposed. More dramatic theatrical shots may be stylistically darker.
Mathematically, brightness is simple pixel addition. In order to brightnen an image, simply add any integer value to each of the pixels. To increase the brightness by 10, add 10 to each pixel.


All student organizations wanting to fundraise must obtain approval from both their advisor and Director of Student Activities. This approval process is accomplished through the submission of the Fundraising Request Form two weeks prior to the date of the proposed fundraiser.
The student organization must have a collection box or bank bag on-site to store the money. If you do not have one, Student Activities will provide one for you.
At the location of the fundraiser, the registered organization must post visible information regarding the details of the fundraiser.
Money raised and/or collected must be deposited with the Student Activities Department within 48 hours of the completion of the fundraiser. Money may also deposited in Student Activities throughout the duration of the fundraiser for the safe keeping.
It is suggested that organizations keep a two person system with the money. Two people should sign off on money collected.
All checks must be written out to PTC.
An individual or individual of the student organization may not participate for private financial gain.
Door-to door sales/solicitation to the academics/administration is strongly prohibited. Upon request, Student Activities will provide a table on Level 4 for no longer than 2 weeks for the fundraiser or 1 continuous week for a raffle.