US Navy chief defies Commander-in-Tweet order to lay off disgraced Navy SEAL
by Rob GilliesThe secretary of the US Navy says he doesn’t consider a tweet by President Donald Trump an order and would need a formal order to stop a review of a sailor who could lose his status as a Navy SEAL.
“I need a formal order to act,” Navy Secretary Richard Spencer said on Saturday, and referred to the tweet. “I don’t interpret them as a formal order.”
Trump insisted on Thursday the Navy “will NOT be taking away Warfighter and Navy Seal Eddie Gallagher’s Trident Pin,” inserting himself into an ongoing legal review of the sailor’s ability to hold onto the pin that designates him a SEAL.
The Navy on Wednesday notified Chief Petty Officer Edward Gallagher that he will face a review early next month to determine if he should remain on the elite force.
Gallagher was acquitted of a murder charge in the stabbing death of an Islamic State militant captive, but a military jury convicted him of posing with the corpse while in Iraq in 2017. He was then demoted to chief.
Spencer, speaking on the sidelines of the Halifax International Security Forum in Canada, said if the President requests the process to stop, the process stops.
“Good order and discipline is also obeying the orders of the President of the United States,” he said.
Despite the differing views with the president over the appropriate handling of the case, Spencer told reporters that he has not threatened to resign over the issue.
But he acknowledged that he serves at the pleasure of the president.
“The president the United States is the commander in chief. He’s involved in every aspect of government and he can make decisions and give orders as appropriate,” he said.
Gallagher’s lawyers have accused the Navy of trying to remove the SEAL designation in retaliation for Trump’s decision last week to restore Gallagher’s ran
Gallagher filed a complaint with the inspector general accusing a rear admiral of insubordination for defying Trump’s actions.
Trump’s initial order in Gallagher only referred to restoring his rank, but it did not explicitly pardon the SEAL for any wrongdoing.
Removing Trident pins means recipients will no longer be SEALs but could remain in the Navy.
The Navy has revoked 154 Trident pins since 2011.
-AAP


STRPOS Function
Returns the position of a substring within a specified string.
Synonym of CHARINDEX Function and POSITION Function.
Syntax
STRPOS(string, substring )
Arguments
- string
-
The first input parameter is the string to be searched.
- substring
-
The second parameter is the substring to search for within the string.
Return Type
The STRPOS function returns an integer corresponding to the position of the substring (one-based, not zero-based). The position is based on the number of characters, not bytes, so that multi-byte characters are counted as single characters.
Usage Notes
STRPOS returns 0 if the substring is not found within the string:
select strpos('dogfish', 'fist'); strpos -------- 0 (1 row)
Examples
The following example shows the position of the string fish
within
the word dogfish
:
select strpos('dogfish', 'fish'); strpos -------- 4 (1 row)
The following example returns the number of sales transactions with a COMMISSION over 999.00 from the SALES table:
select distinct strpos(commission, '.'), count (strpos(commission, '.')) from sales where strpos(commission, '.') > 4 group by strpos(commission, '.') order by 1, 2; strpos | count --------+------- 5 | 629 (1 row)


Discover Deis was made by Jessica Huynh, Tianci Zhong, and Ziyu Qiu.
Stats
- # points: {{numPoints}}
- # entrances: {{numEntrances}} ({{numIEntrances}} internal)
- # crossings: {{numCrossings}} ({{numICrossings}} internal)
- # locations: {{numLocs}}
- # paths: {{numPaths}}
Map Debugger
{{> googleMap name="dataMap" options=dataMapOptions}}
The map markers are from http://www.benjaminkeen.com/google-maps-coloured-markers/.
Locations without entrances assigned
{{#each loc}}
- {{name}}
{{/each}}


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--- layout: default title: User ---
Something
Something Else
Something Else Else
Year Rank: 42
Overall Rank: 420
Name: UCL Student
Course: MEng in Necromastery
Course Date: Sep 2015 to June 2019
First Order Logic by Lecturer1
Haskell recursion question 4 friend X


ART GALLERY
Home
(current)
KETKI
Mask On , Corona Gone.
Beautiful Butterflies!
Lifecycle of humans.
Heart in the sky.
Amazing Eifel-Tower.
Jay Bhavani , Jay Shivaji.


Shows the geometry of the earth and sun over the course of a year, demonstrating how seasons occur. This simulator allows both orbital and celestial sphere representations of the seasonal motions.
This simulation is part of the Coordinates and Motions module of the ClassAction project, a collection of think-pair-share questions and resources for astronomy education.


Section 2
The real fun stuff happens when users inteact with your page.
When they click.
When they touch.
When they scroll.
When they move their mouse.
When they type.
When they speak.
When they move.
When an action happens, there can be a response.
These actions are called events.
const button = document.getElementById('button');
button.addEventListener('click', function(event){
document.getElementById(title).innerHTML = "Hello!";
});
const button = document.getElementById('button');
button.addEventListener('click', function(event){
document.getElementById(title).innerHTML = "Hello!";
});
// variable pattern
const pi = 3.14159265;
A variable is a stored value.
Something you want to remember for later.
// string
let favorite_band = "Weezer";
// numbers
let age = 40;
// booleans
let do_i_still_get_carded = true;
// booleans
let is_nighttime = false;
Very common pattern.
// variable pattern
const pi = 3.14159265;
Variables can hold different types of information, like words, numbers, and collections of data.
Variable names can not have spaces, start with a number, or be a reserved keyword.
At the time of these slides JavaScript has 43 reserved keywords.
// variable pattern - var (value can change, function scoped)
var favorite_band = "Weezer";
// variable pattern - let (value can change, block scoped)
let favorite_band = "Weezer";
// variable pattern - constant (value can not be changed)
const favorite_band = "Weezer";
How can I try that out?
To the console.
We tested the idea without having to set up new environment or html page.
The console is GREAT for experimenting and learning.
If the value does NOT change, use const.
If the value does change, use let.
Avoid var if possible.
Use if to decide which lines of code to execute, based on a condition.
if (condition) {
// statements to execute
}
const bananas = 5;
if (bananas > 0) {
console.log ('You have some bananas!');
}
| Example | Name | Result |
|---|---|---|
| a == b | Equal | TRUE if a is equal to b (can be different types). |
| a === b | Identical |
TRUE if a is equal to b, and the same type. |
| a != b | Not equal | TRUE if a is not equal to b (can be different types). |
| a !== b | Not identical |
TRUE if a is not equal to b, or they are not the same type. |
| Example | Name | Result |
|---|---|---|
| a < b | Less than | TRUE if a is strictly less than b. |
| a > b | Greater than | TRUE if a is strictly greater than b. |
| a <= b | Less than or equal to | TRUE if a is less than or equal to b. |
| a >= b | Greater than or equal to | TRUE if a is greater than or equal to b. |
First, declare the function.
function is_number_valid(value) {
let result = false;
if(value > 0){
result = true;
}
return result;
}
Then, use it as many times as you want!
is_number_valid(6); // true
is_number_valid(-2); // false
is_number_valid("r"); // false


Up From Slavery
by Booker T. Washington
Up From Slavery is the 1901 autobiography of Booker T. Washington detailing his slow and steady rise from a slave child during the Civil War, to the difficulties and obstacles he overcame to get an education at the new Hampton University, to his work establishing vocational schools (most notably the Tuskegee Institute in Alabama), to helping black people and other disadvantaged minorities learn useful, marketable skills and work to pull themselves, as a race, up by the bootstraps. He reflects on the generosity of both teachers and philanthropists who helped in educating blacks and native Americans.
Source: Washington, B. T. (1901). Up From Slavery.
- Preface
- The Author explains the incidents that lead to the writing of his autobiography.
- Introduction
- An introduction to the original text, written by Walter H. Page.
- Chapter 1: A Slave Among Slaves
- The author's earliest memories of childhood and the conditions in which his family lived and worked are explained.
- Chapter 2: Boyhood Days
- Newfound freedom gives the Washington family the opportunity to move. The author further realizes the importance of an education.
- Chapter 3: The Struggle For An Education
- While working in the salt mines, Booker hears of an opportunity to pursue an education.
- Chapter 4: Helping Others
- The author's experiences at school and back at home give him an even greater appreciation of the value of kindness, as well as the importance of education as a means of achieving equality.
- Chapter 5: The Reconstruction Period
- This chapter, covering the years 1867 to 1878, gives the author's first hand account of his experiences during the Reconstruction period, as well as a critique of the Federal Government's actions following the Civil War.
- Chapter 6: Black Race and Red Race
- The author agrees to return to Hampton as an instructor.
- Chapter 7: Early Days at Tuskegee
- The author is asked to start a new school in Tuskegee. As Booker prepares to procure a building for the new school, he observes the conditions and behaviors of the people of Tuskegee, always remaining hopeful.
- Chapter 8: Teaching School in a Stable and a Hen House
- The Tuskegee School opens despite a number of setbacks. Booker turns to the community for contributions.
- Chapter 9: Anxious Days and Sleepless Nights
- The arrival of the holiday season allows Booker to observe more of the local customs. The school continues to work towards expansion.
- Chapter 10: A Harder Task Than Making Bricks Without Straw
- Booker implements an unorthodox plan for the new construction, and works to overcome the objections of prospective students and their parents.
- Chapter 11: Making Their Beds Before They Could Lie On Them
- The Tuskegee Institute receives an esteemed guest. Booker's long-standing beliefs begin to change with his continued positive experiences with the southern whites.
- Chapter 12: Raising Money
- As the Tuskegee Institute continues to expand, the author pays a visit to General Armstrong of the Hampton Institute to secure the needed funding.
- Chapter 13: Two Thousand Miles For a Five Minute Speech
- The Tuskegee Institute creates a new program to allow the less privileged to attend. The author's skills as a public speaker put him in a position of high demand.
- Chapter 14: The Atlanta Exposition Address
- The author's speech at the Atlanta Exposition allows for even more opportunity for increased exposure and development of the Tuskegee Institute, but the it is not without it's detractors.
- Chapter 15: The Secret of Success in Public Speaking
- The author continues his work as a public speaker while still devoting himself to the prosperity of the Tuskegee Institute.
- Chapter 16: Europe
- Booker's travels throughout Europe introduce him to a number of new teaching methods, as well as instilling a since of hope for equality in the United States.
- Chapter 17: Last Words
- An old friend and mentor passes away. The author ponders the distance he has traveled in the previous twenty years of his life.


Reports
switch
statements which can be replaced with an enhanced
switch
statement or expression.
This inspection only applies to language level 14 or higher
New in 2019.1


nips nips2005 nips2005-18 nips2005-18-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Brent Bryan, Robert C. Nichol, Christopher R. Genovese, Jeff Schneider, Christopher J. Miller, Larry Wasserman
Abstract: We present an efﬁcient algorithm to actively select queries for learning the boundaries separating a function domain into regions where the function is above and below a given threshold. We develop experiment selection methods based on entropy, misclassiﬁcation rate, variance, and their combinations, and show how they perform on a number of data sets. We then show how these algorithms are used to determine simultaneously valid 1 − α conﬁdence intervals for seven cosmological parameters. Experimentation shows that the algorithm reduces the computation necessary for the parameter estimation problem by an order of magnitude.
[1] N. Ramakrishnan, C. Bailey-Kellogg, S. Tadepalli, and V. N. Pandey. Gaussian processes for active data mining of spatial aggregates. In Proceedings of the SIAM International Conference on Data Mining, 2005.
[2] W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery. Numerical Recipes in C. Cambridge University Press, 2nd edition, 1992.
[3] D. A. Cohn, Z. Ghahramani, and M. I. Jordan. Active learning with statistical models. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems, volume 7, pages 705–712. The MIT Press, 1995.
[4] Simon Tong and Daphne Koller. Active learning for parameter estimation in bayesian networks. In NIPS, pages 647–653, 2000.
[5] A. Moore and J. Schneider. Memory-based stochastic optimization. In D. Touretzky, M. Mozer, and M. Hasselm, editors, Neural Information Processing Systems 8, volume 8, pages 1066–1072. MIT Press, 1996.
[6] Noel A. C. Cressie. Statistics for Spatial Data. Wiley, New York, 1991.
[7] D. MacKay. Information-based objective functions for active data selection. Neural Computation, 4(4):590–604, 1992.
[8] C. L. Bennett et al. First-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Preliminary Maps and Basic Results. Astrophysical Journal Supplement Series, 148:1–27, September 2003.
[9] M. Tegmark, M. Zaldarriaga, and A. J. Hamilton. Towards a reﬁned cosmic concordance model: Joint 11-parameter constraints from the cosmic microwave background and large-scale structure. Physical Review D, 63(4), February 2001.
[10] C. Genovese, C. J. Miller, R. C. Nichol, M. Arjunwadkar, and L. Wasserman. Nonparametric inference for the cosmic microwave background. Statistic Science, 19(2):308–321, 2004.
[11] C. J. Miller, R. C. Nichol, C. Genovese, and L. Wasserman. A non-parametric analysis of the cmb power spectrum. Bulletin of the American Astronomical Society, 33:1358, December 2001.
[12] U. Seljak and M. Zaldarriaga. A Line-of-Sight Integration Approach to Cosmic Microwave Background Anisotropies. Astrophyical Journal, 469:437–+, October 1996.


The scenario: you have a dataset that you’d like to analyze, but before you can do so, you have to import it into R and get it into a workable format. This post dives into the necessary precursors to any kind of data analysis: importing and tidying data.1 For reference, here is the RStudio Data Import Cheat Sheet.
First, let’s explore the concept of tidy data.
In a tidy dataset, each variable must have its own column, each observation must have its own row, and each value must have its own cell – in practice, you can make a dataset tidy by formatting it as a tibble and putting each variable into a column. This allows you to make use of R’s vectorized nature and store the data in a consistent way.
A quick detour to introduce tibbles, an improved type of data frame:
- Tibbles only print the first 10 rows of data by default, and has stricter subsetting rules than data frames
- Create a new tibble from individual vectors:
tibble()
- Create a new tibble by doing data entry in code:
tribble()
- Turn a data frame into a tibble:
as_tibble()
- Turn a tibble into a data frame:
as.data.frame()
- Use backticks to refer to non-syntactic column names for tibbles
- For more details, see
vignette("tibble")
Importing Data
There are a number of different functions to import different types of flat files into data frames, and they all work similarly – we’ll be using read_csv()
from the readr package, which is part of the tidyverse.
read_csv()
scans the first 1000 rows in the file and guesses what type of data each column is (logical, integer, double, number, time, date, and date-time). Most csv files can be read with variations of the following code:
However, if the first 1000 rows of a column is not representative of the whole dataset or if there are other parsing problems, identify the problem rows with problem()
and try the following:
- Specify the column types manually with the parameter
col_types
- Increase the number of lines to parse from 1000 with parameter
guess_max
- Import all columns as characters using
col_types = cols(.default = col_character())
, then resolve the errors, possibly withtype_convert()
- Read the file into a character vector of lines,
read_lines()
or a character vector of length one,read_file()
, and then use more advanced string parsing skills.
But wait – how does R parse data, and what can go wrong?
Parsing functions take a character vector and return a more specialized vector like a logical, integer, or date. They make up the foundation of importing data, and are useful to understand for imports.
parse_factor()
parse_logical(), parse_integer()
parse_double(), parse_number()
– potential problems with different grouping marksparse_character()
– potential problems with non UTF-8 encoding; tryguess_encoding()
parse_date(), parse_time(), parse_datetime()
– potential problems with formatting; reference.
Managing Data in a Single Table
When some of the column names are values and not variable names, we can use pivot_longer()
to pivot the columns into a new pair of variables, for example:
When some of the observations are scattered across mutiple rows, we can use pivot_wider()
to move values into column names, for example:
If needed, we can use separate(), unite()
to split columns and combine columns:
Missing values can be missing explicitly with an NA flag, or missing implicitly if they’re just not listed. In the following example, the 4th quarter of 2015 is explicity missing and the 1st quarter of 2016 is implicitly missing.
We can make both missing values explicit with pivot_wider
or complete()
, or make both missing values implicit with pivot_longer(..., values_drop_na = TRUE
Note: fill()
can be used to fill in missing values with the most recent non-missing value.
Managing Relational Data in Multiple Tables
Combine data between related data by matching the unique identifier in your main table (primary key) with the unique identifier in another table (foreign key). To ensure that your joins work smoothly:
- Identify the variables that are the primary key in each table
- Check that none of the variables in the primary key are missing
- Check that the primary keys match foreign keys in another table with
anti_join()
Mutating Joins: Combine variables from two tables
inner join(x, y)
- only matching values are keptleft_join(x, y)
- all x values are kept - MOST COMMONright_join(x, y)
- all y values are keptfull_join(x, y)
- all x and y values are kept
Filtering Joins: Affects observations, not variables
semi_join(x, y)
- keeps all observations in x that have a match in yanti_join(x, y)
- drops all observations in x that have a match in y
Set Operations: Assumes both tables have the same variables
intersect(x, y)
- return only observations in both x and yunion(x, y)
- return unique observations in x and ysetdiff(x, y)
- return observations in x, but not in y
-
The content in this post is based on chapters nine through thirteen of R for Data Science by Hadley Wickham & Garrett Grolemund, which I would recommend reading for a more thorough explanation. ⤴


Project
You will design and carry out a quarter-long project where you will write an iOS app (done in teams). I hope that these projects will lead apps in the App Store. The timeline for the projects is as follows:
- 2/11: Inform me of your group's membership and few sentence description of the app you plan to build. Groups should generally consist of three or four people. Your project partners will have a substantial effect on your experience in this course, so choose carefully.
- 2/22: Milestone 1. This milestone includes preliminary designs with how you plan to decompose your app, descriptions of libraries you plan to use, what you plan to do for server support, and a timeline of when we can expect tasks to be done and who is going to do them. We'll set your Professor's Challenge in your Milestone 1 meeting.
- 3/1: Milestone 2 due. Milestone 2 will be set during your "Milestone 1" meeting with me and the TA.
- 3/10 and 3/11: Live demos. You will demo your app to the rest of the class during the lecture period.
- 3/16 @ 3pm: Final project due.
Project groups should be 4-5 members. Any other group size needs explicit approval by the professor.
This quarter I am not going to give out project ideas. You are responsible for coming up with an app idea by yourself, but I encourage you to start this process early and to solicit feedback from me.
Project Details
Want an A+?
Put your app in the App Store and get 250 daily active users, and you'll get an A+ in the class independent of the rest of your graded materials. Above all I love impact, so if you can show that people are getting value from your app this quarter I will give you full credit for the class. The requirements for this are:
- You need to have 250 daily active users by the day that the project is due
- Students from this class can count towards your 150 daily active users. In fact, I want students to help each other out by using your apps and giving feedback
- You can't pay people to use your app
- If you want to try this, you need to have a written agreement with Professor King about how you define and measure daily active users
- Your app needs to be created this quarter as a part of this class. You can't bring in past projects that you've worked on and get credit
Project proposal
Write a few sentences describing the app that you plan to build. It doesn't have to be detailed, we're only want to get a general idea of what direction you're thinking about going to make sure that your project is appropriate for this class.
Please submit the group membership assignment via Canvas to inform us about group membership because we need to create your groups manually in Canvas.
After we create your group, you should be able to submit a single proposal for the entire group using Canvas' group feature.
Milestone 1
The key activities for Milestone 1 are around planning and getting setup to execute on your app. I do expect that you've started programming when Milestone 1 is due, but I won't grade you on that. Here's what you will need to turn in:
- Designs for all of the screens you plan to have. These designs do not need to be pixel perfect, and in fact they shouldn't be. Use a whiteboard and take pictures, or better yet use a tool like Balsamiq that lets you draw sketch / wireframe designs easily.
- A listing of all third party libraries you plan to use
- Server support for your app. If you plan to roll your own server support, a full listing of the APIs you plan to build
- A listing of all of the models you plan to include in your app
- A listing of all ViewControllers you will implement. Please include how you plan to navigate to / from each ViewController and any protocols / delegates / variables you plan to use for ViewController / ViewController communication
- A list of approximately week long tasks and a timeline of when each of them will be done
- A trello board that includes all of the tasks and their state (up next, in progress, blocked, done). These tasks need to include an owner from the start, but the owner can change during the quarter as needed
- A github classroom project that includes all of this documentation. The Readme in your project needs to include a link to your Trello board and pictures of each of the team members with their name and github handle
- A testing plan. A good app should get feedback from potential users early and often. List here what you plan to get other people to test out. Having your friends or classmates from other groups help you with testing is acceptable (and encouraged). You should have at least one aspect that you measure with each test. Measurements can be quantitative (e.g., how long does it take for them to signup for a new account) or based on survey data (e.g., answers to "from a scale of 1-5 how easy was it to signup?")
Milestone 2
The goal of milestone 2 is to make sure that you're making sufficient progress towards finishing your final project. By milestone 2 we should see significant code at either broad progress across the entire app or deep progress on one or more areas. At this point you should have experience with all of the third parties you plan to use, and you should have picked your "magical" experience or advanced feature that we talked about during your Milestone 1 meeting.
Some groups got explicit instructions to email me about something during your Milestone 1 meeting, we'll follow up on that during our Milestone 2 meeting so please do make sure that you've taken action before you meet with us.
Here's what you need to turn in:
- a link to your most recent sprint planning document
Sprint planning, standups, and Trello
You are responsible for meeting with your group three times a week. Twice a week your meetings can be quick standups where you briefly talk about (1) what you're up to over the next few days (2) what you did over the previous few days and (3) anything your stuck on. If you're spending more than 10 minutes on these meetings, then you're spending too much time on them. Having standups over Slack or another online tool is fine as long as everyone is logged in at the same time to provide feedback.
Each week you should have a longer sprint planning meeting that should last for about one hour and needs to be in person. In this meeting you will also talk about (1) what you did (2) what you plan to do and (3) any issues you're having, but it will be for the entire week, not just a few days. You must take notes in this meeting about (1), (2), and (3) and submit these notes via Github to get credit. Include links to all PRs / commits in Github that correspond to tasks. Please create a Markdown document in Github to record your notes for your sprint planning meeting and make sure to include:
- A 2-3 sentence summary of your project
- A link to your up-to-date trello board
- Notes that includes what people have done, what they plan to do, etc for each individual in the group
- Links to all commits that correspond to the tasks that people have done
- If you did a task that didn't require any code (e.g., test out API foo to see if it works), put a description of the task instead of a link to a commit
To track work, you will use Trello. In Trello, you will maintain four lists: up next, in progress, blocked, done. Each task in your Trello board should take about one week of work and You are required to keep your Trello board up-to-date at all times. The main idea behind Trello is to make your committments explicit and to provide visibility as to what you're doing at any given time.
On a personal note, pure "agile development" borders on being rediculous and teams that work on difficult problems don't use it. You should identify the most important things that need to be worked on and work on them, and you should be thoughtful about diagnosing issues when things don't go as expected, but story points and weekly retrospectives are counterproductive and impractical. In this class we'll use what I think are the good parts of agile development, but this is something I encourage you to form an opinion about yourselves.
A more healthy approach is to focus your conversations on impact and quantitative metrics, but that will be difficult in this class as you are building out the product itself -- the focus on impact usually comes after you actually have a product.
Agile development is very good at fostering communication, providing visibility into what you're working on, and identifying any issues that might come up early, so we're focusing our use of Agile development on these facets.
Demo
During the last lecture of the class you will have the opportunity to demo your app to your peers. Everyone will setup in an area of the classroom and then people will roam around the room to checkout what people have done. During this period, Zhiyi and I will go from group to group and you will have a chance to show off your app. For your demo grade, here's what we're going to be looking at (roughly equal weight for each item):
- You will explain what problem you're solving, why it's important, and how your solution is different.
- Show us the "magical" experience in your app.
- Show us the one smooth and polished flow in your app.
Final project
For your final project, the main artifact you need to submit is your code. We will be compiling your app using Xcode 12 so please make sure that your app compiles. For your grade, we will be looking at (roughly equal weight):
- The basics and documentation. Does it compile, is the code organized in a reasonable way, etc. The only bit of documentation we need beyond what we're expecting for sprint plannint notes is a short decription of what each project member did.
- API Usage. Are you using APIs in a reasonably efficient way, handle basic errors, etc.
- App completeness. Your app needs to be complete (e.g., no dead ends when using it). This may mean cutting scope for the final version of your app, but the parts that you turn in need to be complete.
- UI / UX. Appropriate and logical flows in the app, the app should be usable by a new user without reading instructions outside of the app.
- Code quality. Your code should be easy to read and understand and it should appear to have been written by a single person.
- App quality. Does your app provide at least one experience that is compelling for users and is there potential to extend it into something more.
Peer grading
A portion of your final project grade will be set by your project partners. If you get full credit I expect the sprint planning documentation to reflect a project partner who is contributing to the project, and if you don't get full credit then I expect to see some early warning signs in your sprint planning documents.
 My hope is that if there are any issues that you'll talk about it openly as a group early when there is still time for any project members to improve.
What does your app do?
One important aspect of this class is being able to explain to other people what it is that you're building. As a first step, you'll need to explain to me what you're building in a way that makes sense.
We suggest that you use the Y Combinator guidance on how to answer the question of "What do you do?". Please make sure to see their suggestions for how to forumlate your answer and look at the end of the blog post for guidance on improving your answer.
The first thing I'm going to ask you in all of our face-to-face meetings is "what does your app do?" so please make sure that you're prepared to answer that question and work on improving it as the quarter goes on.


Why social workers are getting very angry
by Shiu Ka-chunOn Nov. 17, the Legislative Council’s Panel on Welfare Services held a public hearing on the welfare of those affected by the political crisis that has gripped the city since June.
As we all know, Hong Kong is undergoing a collective trauma, and every citizen is affected.
And as history has proven, a social trauma of such proportions often takes years to heal.
It is for this reason that the social welfare sector is calling for a contingency plan to deal with the far-reaching emotional implications of the political crisis to the public.
Unfortunately, not only has the administration failed to devise any “strategic preparations” for the current crisis, but it also doesn’t have the mindset for crisis management.
Worse still, the government so far hasn’t clearly defined the role of social workers when it comes to frontline humanitarian support.
In fact, police have arrested at least 40 social workers who have been performing humanitarian rescue work during protests and clashes over the past few months.
While public demand for social work services is now reaching “crisis proportions” amid the protests, it appears our government still naively believes that all it needs to do is to boost existing regular services, such as relaxing the terms of the current Funding and Service Agreements for youth and family services provided by non-governmental organizations, diverting more resources into youth outreach services, etc.
If anything, these measures are but a drop in the bucket compared to the soaring public demand for emotional and psychological support services from basically all walks of life as our city continues to be gripped by social turmoil.
Of course, the best “contingency plan” to resolve our current crisis would be for the government to redeem itself by immediately calling a halt to police brutality and meeting the five demands put forward by the public.
I sincerely hope this will happen.
This article appeared in the Hong Kong Economic Journal on Nov 22
Translation by Alan Lee
– Contact us at<EMAIL_ADDRESS>JC/CG


Peugeot 208 first drive | petrol, diesel and electric driven
"Whichever 208 you choose, expect agile and alert steering and a ride that felt purposefully firm on our test route."
BIK List Price
£18,665
BIK Percentage
23%
CO2
97g/km
Combined MPG
53.3 (WLTP)
Review
You might look at this new Peugeot and wonder why its name doesn’t follow on numerically from the previous one, as it has since the 205 of the 1980s. We reckon it’s because the previous 208 was the first small hatchback from the French maker since then to capture something of the original model’s flair and fitness for purpose.
So, this new 208 is a continuation of that good work rather than a spur off in another direction – and that’s good news because, while its predecessor was the best small Peugeot supermini in decades, there was still room for improvement.
Let’s start with the cabin. While the older car was nicely styled, it featured a lot of naff plastic and felt behind the times in terms of technology.
Addressing those issues is a noticeable uplift in the quality of materials used (although you can still find harder surfaces lower down), a padded dashboard, and a swathe of carbon fibre-effect material that is, at the very least, attention-grabbing.
A tall seven-inch infotainment screen with Apple CarPlay and Android Auto takes care of most of the car’s functions, with a set of chrome piano-style switches to help navigate its menus.
A 10-inch version with in-built sat-nav isn’t standard on any petrol or diesel 208 trim but can be specified as an option.
While base-spec Active models get a set of analogue dials, Allure and GT Line trims (plus the electric-only GT model) feature a 3D digital display, which works a bit like an LCD dial screen but introduces several see-through layers, allowing less important information to be projected slightly behind things like your speed. This works very well.
With reference to its speed, the biggest change this time around is the addition of an all-electric model, which we’ll get onto shortly, and a fast-shifting eight-speed automatic gearbox for the combustion-engined models.
Here you can choose from a 75PS, 100PS and 130PS petrol (all with 1.2-litre three-cylinder motor) while the diesel line-up features a 1.5-litre unit with a single 100PS output – reflecting the waning appeal of what has now become a niche fuel choice in a supermini.
Peugeot believes the mid-powered petrol will be the most popular and it’s easy to see why – it’s the best all-rounder thanks to the availability of automatic or six-speed manual gearbox and, with 205Nm of torque, it provides enough mid-range shove for daily driving applications. Expect 0-62mph in 9.9 seconds.
Running costs should be low too – the petrol line-up ranges from 93-108g/km of CO2 across its broad spread of power outputs and gearbox choices, while the diesel offers 84-92g/km. That’s a hard thing to recommend, though, due to the relatively inert way it deploys its power and the fact that you can get broadly the same emissions from the cheaper petrol versions.
Of course, the best choice for tailpipe emissions is the electric-only e-208 – here a 50kWh battery and motor combine for 136PS and 211 miles of range. Expect this to dip if you want to regularly experience the 8.1 second 0-62mph time. Peugeot expects this to make up 10% of sales – more than the diesel – but reckons it’ll have no problem keeping up with that demand.
Whichever 208 you choose, expect agile and alert steering and a ride that felt purposefully firm on our Portuguese test route. That could become an issue in the UK, particularly in sportier GT and GT Line cars.
In terms of noise, it feels quite refined, with little wind whistle and quiet engines, particularly the virtually silent EV.
 The boot is a middle-of-the-road 311 litres whether you pick a conventional engine or the EV – more space than a Fiesta, but less than a Clio.
So, is the Peugeot 208 a good fleet choice? Well, the last car was a proper return to form, with a broad appeal and unconventional looks that were instantly recognisable. This 208 builds on that with an enhanced tech and driver assistance package, plus an all-electric model, and offers a style than none of its rivals can match.
It certainly looks more orthodox, but still manages to stand out in a world where car design seems to be rapidly converging.
Specification shown for Peugeot 208 1.2 PureTech 100 Allure
By Adam Binnie
Top Speed
117mph
VED band
E
Fuel Type
Petrol
Residual Value
3 Year 60k : £7,250
4 Year 80k : £5,625
Running Cost (ppm)
3 Year 60k : 32.75
4 Year 80k : 30.40
CO2 emissions and fuel consumption data correct at time of writing. The latest figures are available in the Fleet News fuel cost calculator and the company car tax calculator.
More Peugeot Reviews
More Small car Reviews
Peugeot 508 long-term test | eye-catching design stands out from the crowd
Any slight deviation from the centre of the lane seems to result in a firm tug at the wheel.
Renault Zoe moves to top of supermini class | first drive
Zoe could be a big hit with fleets as it promises comparable lead times to ICE-powered cars.


--- layout: post title: Nokia 330 GPS sat nav thing date: 2006-10-30 00:00:00 categories: amusing mobile ---
Nokia 330 GPS sat nav thing: "It's also a media player, so you can watch porn while driving instead of paying attention to where your car is on the road in relation to that bus stop full of innocent children. "


Cluster URL to connect to (e.g. mesos://host:port, spark://host:port, local[4]).
A name for your application, to display on the cluster web UI.
Location where Spark is installed on cluster nodes.
Collection of JARs to send to the cluster. These can be paths on the local file system or HDFS, HTTP, HTTPS, or FTP URLs.
Environment variables to set on worker nodes.
Create an Accumulable shared variable, to which tasks can add values with +=
.
Create an Accumulable shared variable, to which tasks can add values with +=
.
Only the driver can access the accumuable's value
.
accumulator type
type that can be added to the accumulator
Create an accumulator from a "mutable collection" type.
Create an accumulator from a "mutable collection" type.
Growable and TraversableOnce are the standard APIs that guarantee += and ++=, implemented by standard mutable collections. So you can use this with mutable Map, Set, etc.
Create an Accumulator variable of a given type, which tasks can "add" values
to using the +=
method.
Create an Accumulator variable of a given type, which tasks can "add" values
to using the +=
method. Only the driver can access the accumulator's value
.
Add a file to be downloaded with this Spark job on every node.
Add a file to be downloaded with this Spark job on every node.
The path
passed can be either a local file, a file in HDFS (or other Hadoop-supported
filesystems), or an HTTP, HTTPS or FTP URI. To access the file in Spark jobs,
use SparkFiles.get(path)
to find its download location.
Adds a JAR dependency for all tasks to be executed on this SparkContext in the future.
Adds a JAR dependency for all tasks to be executed on this SparkContext in the future.
The path
passed can be either a local file, a file in HDFS (or other Hadoop-supported
filesystems), an HTTP, HTTPS or FTP URI, or local:/path for a file on every worker node.
A name for your application, to display on the cluster web UI.
Broadcast a read-only variable to the cluster, returning a Broadcast object for reading it in distributed functions.
Broadcast a read-only variable to the cluster, returning a Broadcast object for reading it in distributed functions. The variable will be sent to each cluster only once.
Cancel all jobs that have been scheduled or are running.
Cancel active jobs for the specified group.
Cancel active jobs for the specified group. See org.apache.spark.SparkContext.setJobGroup for more information.
Clear the job's list of files added by addFile
so that they do not get downloaded to
any new nodes.
Clear the job's list of JARs added by addJar
so that they do not get downloaded to
any new nodes.
Clear the job group id and its description.
Default min number of partitions for Hadoop RDDs when not given by user
Default level of parallelism to use when not given by user (e.
Default level of parallelism to use when not given by user (e.g. parallelize and makeRDD).
Environment variables to set on worker nodes.
Return pools for fair scheduler TODO(xiajunluan): We should take nested pools into account
Return a map from the slave to the max memory available for caching and the remaining memory available for caching.
Return information about blocks stored in all of the slaves
Returns an immutable map of RDDs that have marked themselves as persistent via cache() call.
Returns an immutable map of RDDs that have marked themselves as persistent via cache() call. Note that this does not necessarily mean the caching or computation was successful.
Return the pool associated with the given name, if one exists
Return information about what RDDs are cached, if they are in mem or on disk, how much space they take, etc.
Return current scheduling mode
A default Hadoop Configuration for the Hadoop code (e.
A default Hadoop Configuration for the Hadoop code (e.g. file systems) that we reuse.
Smarter version of hadoopFile() that uses class manifests to figure out the classes of keys, values and the InputFormat so that users don't need to pass them directly.
Smarter version of hadoopFile() that uses class manifests to figure out the classes of keys, values and the InputFormat so that users don't need to pass them directly. Instead, callers can just write, for example,
val file = sparkContext.hadoopFile[LongWritable, Text, TextInputFormat](path)
Smarter version of hadoopFile() that uses class manifests to figure out the classes of keys, values and the InputFormat so that users don't need to pass them directly.
Smarter version of hadoopFile() that uses class manifests to figure out the classes of keys, values and the InputFormat so that users don't need to pass them directly. Instead, callers can just write, for example,
val file = sparkContext.hadoopFile[LongWritable, Text, TextInputFormat](path, minSplits)
Get an RDD for a Hadoop file with an arbitrary InputFormat
Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf given its InputFormat and any other necessary info (e.
Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf given its InputFormat and any other necessary info (e.g. file name for a filesystem-based dataset, table name for HyperTable, etc).
Collection of JARs to send to the cluster.
Collection of JARs to send to the cluster. These can be paths on the local file system or HDFS, HTTP, HTTPS, or FTP URLs.
Distribute a local Scala collection to form an RDD, with one or more location preferences (hostnames of Spark nodes) for each object.
Distribute a local Scala collection to form an RDD, with one or more location preferences (hostnames of Spark nodes) for each object. Create a new partition for each collection item.
Distribute a local Scala collection to form an RDD.
Cluster URL to connect to (e.
Cluster URL to connect to (e.g. mesos://host:port, spark://host:port, local[4]).
Get an RDD for a given Hadoop file with an arbitrary new API InputFormat and extra configuration options to pass to the input format.
Get an RDD for a Hadoop file with an arbitrary new API InputFormat.
Get an RDD for a given Hadoop file with an arbitrary new API InputFormat and extra configuration options to pass to the input format.
Load an RDD saved as a SequenceFile containing serialized objects, with NullWritable keys and BytesWritable values that contain a serialized partition.
Load an RDD saved as a SequenceFile containing serialized objects, with NullWritable keys and BytesWritable values that contain a serialized partition. This is still an experimental storage format and may not be supported exactly as is in future Spark releases. It will also be pretty slow if you use the default serializer (Java serialization), though the nice thing about it is that there's very little effort required to save arbitrary objects.
Distribute a local Scala collection to form an RDD.
Run a job that can return approximate results.
Run a job on all partitions in an RDD and pass the results to a handler function.
Run a job on all partitions in an RDD and pass the results to a handler function.
Run a job on all partitions in an RDD and return the results in an array.
Run a job on all partitions in an RDD and return the results in an array.
Run a job on a given set of partitions of an RDD, but take a function of type
Iterator[T] => U
instead of (TaskContext, Iterator[T]) => U
.
Run a function on a given set of partitions in an RDD and return the results as an array.
Run a function on a given set of partitions in an RDD and return the results as an array. The allowLocal flag specifies whether the scheduler can run the computation on the driver rather than shipping it out to the cluster, for short actions like first().
Run a function on a given set of partitions in an RDD and pass the results to the given handler function.
Run a function on a given set of partitions in an RDD and pass the results to the given handler function. This is the main entry point for all actions in Spark. The allowLocal flag specifies whether the scheduler can run the computation on the driver rather than shipping it out to the cluster, for short actions like first().
Version of sequenceFile() for types implicitly convertible to Writables through a WritableConverter.
Version of sequenceFile() for types implicitly convertible to Writables through a WritableConverter. For example, to access a SequenceFile where the keys are Text and the values are IntWritable, you could simply write
sparkContext.sequenceFile[String, Int](path, ...)
WritableConverters are provided in a somewhat strange way (by an implicit function) to support both subclasses of Writable and types for which we define a converter (e.g. Int to IntWritable). The most natural thing would've been to have implicit objects for the converters, but then we couldn't have an object for every subclass of Writable (you can't have a parameterized singleton object). We use functions instead to create a new converter for the appropriate type. In addition, we pass the converter a ClassManifest of its type to allow it to figure out the Writable class to use in the subclass case.
Get an RDD for a Hadoop SequenceFile with given key and value types.
Get an RDD for a Hadoop SequenceFile with given key and value types.
Set the directory under which RDDs are going to be checkpointed.
Set the directory under which RDDs are going to be checkpointed. The directory must be a HDFS path if running on a cluster. If the directory does not exist, it will be created. If the directory exists and useExisting is set to true, then the exisiting directory will be used. Otherwise an exception will be thrown to prevent accidental overriding of checkpoint files in the existing directory.
Assigns a group id to all the jobs started by this thread until the group id is set to a different value or cleared.
Assigns a group id to all the jobs started by this thread until the group id is set to a different value or cleared.
Often, a unit of execution in an application consists of multiple Spark actions or jobs. Application programmers can use this method to group all those jobs together and give a group description. Once set, the Spark web UI will associate such jobs with this group.
The application can also use org.apache.spark.SparkContext.cancelJobGroup to cancel all running jobs in this group. For example,
// In the main thread: sc.setJobGroup("some_job_to_cancel", "some job description") sc.parallelize(1 to 10000, 2).map { i => Thread.sleep(10); i }.count() // In a separate thread: sc.cancelJobGroup("some_job_to_cancel")
Location where Spark is installed on cluster nodes.

Submit a job for execution and return a FutureJob holding the result.
Read a text file from HDFS, a local file system (available on all nodes), or any Hadoop-supported file system URI, and return it as an RDD of Strings.
Build the union of a list of RDDs passed as variable-length arguments.
Build the union of a list of RDDs.
Main entry point for Spark functionality. A SparkContext represents the connection to a Spark cluster, and can be used to create RDDs, accumulators and broadcast variables on that cluster.


{Gem Version] {Build Status] {Build status] {Code Climate] {Inline docs] {Dependency Status] {License] {Gitter chat]
|
Modern concurrency tools for Ruby. Inspired by Erlang, Clojure, Scala, Haskell, F#, C#, Java, and classic concurrency patterns. The design goals of this gem are:
|
MRI 1.9.3, 2.0 and above, JRuby 1.7x in 1.9 mode, JRuby 9000, and Rubinius 2.x are supported. This gem should be fully compatible with any interpreter that is compliant with Ruby 1.9.3 or newer. Java 8 is preferred for JRuby but every Java version on which JRuby 9000 runs is supported.
Concurrent Ruby makes the strongest thread safety guarantees of any Ruby concurrency library. We are the only library with a published memory model which provides consistent behavior and guarantees on all three of the main Ruby interpreters (MRI/CRuby, JRuby, and Rubinius).
Every abstraction in this library is thread safe. Similarly, all are deadlock free and many are fully lock free. Specific thread safety guarantees are documented with each abstraction.
It is critical to remember, however, that Ruby is a language of mutable references. No concurrency library for Ruby can ever prevent the user from making thread safety mistakes (such as sharing a mutable object between threads and modifying it on both threads) or from creating deadlocks through incorrect use of locks. All the library can do is provide safe abstractions which encourage safe practices. Concurrent Ruby provides more safe concurrency abstractions than any other Ruby library, many of which support the mantra of “Do not communicate by sharing memory; instead, share memory by communicating”. Concurrent Ruby is also the only Ruby library which provides a full suite of thread safe and immutable variable types and data structures.
The primary site for documentation is the automatically generated API documentation
We also have a mailing list and IRC (gitter).
Async: A mixin module that provides simple asynchronous behavior to a class. Loosely based on Erlang's gen_server.
Future: An asynchronous operation that produces a value.
Dataflow: Built on Futures, Dataflow allows you to create a task that will be scheduled when all of its data dependencies are available.
Promise: Similar to Futures, with more features.
ScheduledTask: Like a Future scheduled for a specific future time.
TimerTask: A Thread that periodically wakes up to perform work at regular intervals.
Collection classes that were originally part of the (deprecated)
thread_safe
gem:
Map
A hash-like object that should have much better performance
characteristics, especially under high concurrency, than
Concurrent::Hash
.
Tuple A fixed size array with volatile (synchronized, thread safe) getters/setters.
Value objects inspired by other languages:
Maybe A thread-safe, immutable object representing an optional value, based on Haskell Data.Maybe.
Delay Lazy evaluation of a block yielding an immutable result. Based on Clojure's delay.
Structure classes derived from Ruby's Struct:
ImmutableStruct Immutable struct where values are set at construction and cannot be changed later.
MutableStruct Synchronized, mutable struct where values can be safely changed at any time.
SettableStruct Synchronized, write-once struct where values can be set at most once, either at construction or any time thereafter.
Thread-safe variables:
Agent: A way to manage shared, mutable, asynchronous, independent, state. Based on Clojure's Agent.
Atom: A way to manage shared, mutable, synchronous, independent state. Based on Clojure's Atom.
AtomicBoolean A boolean value that can be updated atomically.
AtomicFixnum A numeric value that can be updated atomically.
AtomicReference An object reference that may be updated atomically.
Exchanger A synchronization point at which threads can pair and swap elements within pairs. Based on Java's Exchanger.
MVar A synchronized single element container. Based on Haskell's MVar and Scala's MVar.
ThreadLocalVar A variable where the value is different for each thread.
TVar A transactional variable implementing software transactional memory (STM). Based on Clojure's Ref.
See the thread pool overview, which also contains a list of other Executors available.
CountDownLatch A synchronization object that allows one thread to wait on multiple other threads.
CyclicBarrier A synchronization aid that allows a set of threads to all wait for each other to reach a common barrier point.
Event Old school kernel-style event.
IVar Similar to a “future” but can be manually assigned once, after which it becomes immutable.
ReadWriteLock A lock that supports multiple readers but only one writer.
ReentrantReadWriteLock A read/write lock with reentrant and upgrade features.
Semaphore A counting-based locking mechanism that uses permits.
These are available in the concurrent-ruby-edge
companion gem.
These features are under active development and may change frequently. They
are expected not to
keep backward compatibility (there may also lack tests
and documentation). Semantic versions will
be obeyed though. Features
developed in concurrent-ruby-edge
are expected to move to
concurrent-ruby
when final.
Actor: Implements the Actor Model, where concurrent actors exchange messages.
New
Future Framework:
Unified implementation of futures and promises which
combines features of previous Future
,
Promise
,
IVar
, Event
, dataflow
,
Delay
, and TimerTask
into a single framework. It
extensively uses the
new synchronization layer to make all the features
non-blocking and lock-free, with the
exception of obviously blocking
operations like #wait
,
#value
. It also offers better performance.
Channel: Communicating Sequential Processes (CSP). Functionally equivalent to Go channels with additional inspiration from Clojure core.async.
Why are these not in core?
Actor - Partial documentation and tests; depends on new future/promise framework; stability is good.
Channel - Brand new implementation; partial documentation and tests; stability is good.
Future/Promise Framework - API changes; partial documentation and tests; stability is good.
LazyRegister - Missing documentation and tests.
AtomicMarkableReference, LockFreeLinkedSet, LockFreeStack - Need real world battle testing.
Everything within this gem can be loaded simply by requiring it:
require 'concurrent'
To use the tools in the Edge gem it must be required separately:
require 'concurrent-edge'
If the library does not behave as expected,
Concurrent.use_stdlib_logger(Logger::DEBUG)
could help to
reveal the problem.
gem install concurrent-ruby
or add the following line to Gemfile:
gem 'concurrent-ruby', require: 'concurrent'
and run bundle install
from your shell.
The Edge gem must be installed separately from the core gem:
gem install concurrent-ruby-edge
or add the following line to Gemfile:
gem 'concurrent-ruby-edge', require: 'concurrent-edge'
and run bundle install
from your shell.
Potential performance improvements may be achieved under MRI by installing
optional C extensions.
To minimize installation errors the C extensions are
available in the concurrent-ruby-ext
extension
gem.
concurrent-ruby
and concurrent-ruby-ext
are
always released together with same version.
Simply install the extension
gem too:
gem install concurrent-ruby-ext
or add the following line to Gemfile:
gem 'concurrent-ruby-ext'
and run bundle install
from your shell.
In code it is only necessary to
require 'concurrent'
The concurrent-ruby
gem will automatically detect the presence
of the concurrent-ruby-ext
gem
and load the appropriate C
extensions.
No gems should depend on concurrent-ruby-ext
. Doing so will
force C extensions on your users.
The best practice is to depend on
concurrent-ruby
and let users to decide if they want C
extensions.
Brian Durand for the
ref
gem
Charles Oliver Nutter for the
atomic
and thread_safe
gems
thedarkone for the
thread_safe
gem
Concurrent Ruby is free software released under the MIT License.
The Concurrent Ruby logo was designed by David Jones. It is Copyright © 2014 Jerry D'Antonio. All Rights Reserved.


Welcome To Anagheem Page
Anagheem Bayan A software Developer at ASAC , from jordan -Irbid
My education and experience
- Management Informatiom System graduates from Yarmouk University
- Digital Marketing
- Quality Assurance
- DataBase
- Web Development
- Business Analysis


"""
gunicorn.py
"""
# @added 20221206 - Feature #4756: Use gevent gunicorn worker_class
# Feature #4732: flux vortex
from gevent import monkey
monkey.patch_all()
import sys
import os.path
import logging
# import multiprocessing
# import traceback
from logging.handlers import TimedRotatingFileHandler, MemoryHandler
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir))
sys.path.insert(0, os.path.dirname(__file__))
if True:
import settings
# @added 20220328 - Feature #4018: thunder - skyline.errors
from functions.redis.RedisErrorLogHandler import RedisErrorLogHandler
# @added 20220405 - Task #4514: Integrate opentelemetry
# Feature #4516: flux - opentelemetry traces
OTEL_ENABLED = False
OTEL_JAEGEREXPORTER_AGENT_HOST_NAME = '<IP_ADDRESS>'
OTEL_JAEGEREXPORTER_AGENT_PORT = 26831
try:
OTEL_ENABLED = settings.OTEL_ENABLED
OTEL_JAEGEREXPORTER_AGENT_HOST_NAME = settings.OTEL_JAEGEREXPORTER_AGENT_HOST_NAME
OTEL_JAEGEREXPORTER_AGENT_PORT = settings.OTEL_JAEGEREXPORTER_AGENT_PORT
except AttributeError:
OTEL_ENABLED = False
except Exception as err:
OTEL_ENABLED = False
if OTEL_ENABLED:
from opentelemetry import trace
# from opentelemetry.exporter import jaeger
from opentelemetry.exporter.jaeger.thrift import JaegerExporter
from opentelemetry.sdk.resources import SERVICE_NAME, Resource
from opentelemetry.sdk.trace import TracerProvider
# from opentelemetry.sdk.trace.export import BatchExportSpanProcessor
from opentelemetry.sdk.trace.export import BatchSpanProcessor
# from typing import Iterable
# from opentelemetry.exporter.otlp.metrics_exporter import OTLPMetricsExporter
# from opentelemetry.sdk.metrics import MeterProvider
# from opentelemetry.sdk.metrics.export.controller import PushController
# @added 20220405
# Not stable or ready for prime time and only ConsoleMetricExporter is available
# from opentelemetry._metrics import get_meter_provider, set_meter_provider
# from opentelemetry.exporter.otlp.metrics_exporter import OTLPMetricsExporter
# from opentelemetry._metrics.measurement import Measurement
# from opentelemetry.sdk._metrics import MeterProvider
# from opentelemetry.sdk._metrics.export import (
# ConsoleMetricExporter,
# PeriodicExportingMetricReader,
# )
# @added 20221206 - Feature #4756: Use gevent gunicorn worker_class
# Feature #4732: flux vortex
# Switch to using gevent instead of default sync worker type to allow for slow
# requests and fast requests to be handled. This results in an immediate
# improvement in page load times specifically noticable on Ionosphere features
# profile pages.
worker_class = 'gevent'
bind = '%s:%s' % (settings.WEBAPP_IP, str(settings.WEBAPP_PORT))
# @modified 20201011 - Reduce the number of workers on machine with lots of
# CPUs
# workers = multiprocessing.cpu_count() * 2 + 1
# workers = 2
# backlog = 10
try:
workers = settings.WEBAPP_GUNICORN_WORKERS
except:
workers = 2
# @added 20221209 - Feature #4756: Use gevent gunicorn worker_class
# Feature #4732: flux vortex
# Since switching to using gevent instead of default sync worker type there is
# no need for more than 2 workers with the default worker_connections of 1000
# 2 workers will allow for 2000 concurrent connections to be served at once.
if workers > 2:
print('settings.WEBAPP_GUNICORN_WORKERS is set to %s, decreased to 2 as more than 2 are not required with the gevent worker_class' % (
str(settings.WEBAPP_GUNICORN_WORKERS)))
workers = 2
try:
backlog = settings.WEBAPP_GUNICORN_BACKLOG
except:
backlog = 2048
skyline_app = 'webapp'
skyline_app_logger = '%sLog' % skyline_app
logfile = '%s/%s.log' % (settings.LOG_PATH, skyline_app)
logger = logging.getLogger(skyline_app_logger)
pidfile = '%s/%s.pid' % (settings.PID_PATH, skyline_app)
accesslog = '%s/webapp.access.log' % (settings.LOG_PATH)
access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s"'
errorlog = '%s/webapp.log' % (settings.LOG_PATH)
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter("%(asctime)s :: %(process)s :: %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
handler = logging.handlers.TimedRotatingFileHandler(
logfile,
when="midnight",
interval=1,
backupCount=5)
memory_handler = logging.handlers.MemoryHandler(100,
flushLevel=logging.DEBUG,
target=handler)
handler.setFormatter(formatter)
logger.addHandler(memory_handler)
# @added 20220328 - Feature #4018: thunder - skyline.errors
# For every error logged set a count in the app Redis key which is consumed
# by thunder and creates the sskyline.<hostname>.<skyline_app>.logged_errors
# metric
redis_error_log_handler = RedisErrorLogHandler(skyline_app)
redis_error_log_handler.setLevel(logging.ERROR)
redis_error_log_handler.setFormatter(formatter)
logger.addHandler(redis_error_log_handler)
# @added 20220405 - Task #4514: Integrate opentelemetry
# Feature #4516: flux - opentelemetry traces
# As per https://opentelemetry-python.readthedocs.io/en/latest/examples/fork-process-model/README.html#gunicorn-post-fork-hook
# required for opentelemetry to work with gunicorn
[docs]def post_fork(server, worker):
if not OTEL_ENABLED:
pass
else:
service_name = 'skyline.%s.webapp' % settings.SERVER_METRICS_NAME
trace.set_tracer_provider(
TracerProvider(
resource=Resource.create({SERVICE_NAME: service_name})
)
)
# SpanExporter receives the spans and send them to the target location.
# exporter = jaeger.JaegerSpanExporter(
jaeger_exporter = JaegerExporter(
# service_name='webapp',
# agent_host_name='<IP_ADDRESS>',
agent_host_name=OTEL_JAEGEREXPORTER_AGENT_HOST_NAME,
# Direct to jaeger
# agent_port=6831,
# Send to otelcol
# agent_port=26831,
agent_port=OTEL_JAEGEREXPORTER_AGENT_PORT,
)
span_processor = BatchSpanProcessor(jaeger_exporter)
trace.get_tracer_provider().add_span_processor(span_processor)
# Meter is responsible for creating and recording metrics
# metrics.set_meter_provider(MeterProvider())
# opentelemetry.metrics.get_meter(instrumenting_module_name, instrumenting_library_version='', meter_provider=None)
# meter = metrics.get_meter(__name__)
# controller collects metrics created from meter and exports it via the
# exporter every interval
# controller = PushController(meter, metric_exporter, 60)


{% extends "../base.html" %}
{% block content %}
If you found, or were given a duck, and would like to update it's new location, go here.
Duckiehunt hatched as a practical joke when a friend thought it would be hilarious to hide 1000 rubber duckies around the house after my honeymoon.
If you want to see a duck's history and photos, go here.


Improved relationship with Nottingham Forest delights new Notts County owners
Forest and Notts have rebuilt their relationship after difficulties under the Magpies' previous ownership
by Barry CooperNottingham Forest’s relationship with Notts County is one which continues to flourish, according to the Magpies new owners.
The two city neighbours have rebuilt their relationship following County’s takeover in the summer, and even struck a deal for the Magpies to use their Trent Pool training facility which the National League outfit hope will be extended beyond the end of the current season.
“We are really happy with our relationship,” said Christoffer Reedtz.
“Nicholas Randall has been really welcoming.
“We are really pleased with the relationship we are building.”
Notts under their previous ownership benefited from Forest sanctioning the release of loan players, with the likes of Jorge Grant, Ryan Yates and Virgil Gomis all moving across the Trent.
Reedtz hasn’t ruled out there being other benefits to the relationship in the future, with the clubs continuing to work closely.
“It’s a great thing for us that we can use the training ground at the moment. We hope there are other things we can work on together in the future,” he said.
“We have secured Forest’s facilities until the end of the season. That’s worked really well.
“We are wondering whether we can extend that lease.
“We think it’s very important to have a great training facility to prepare for matches.”
Boss Neal Ardley, meanwhile, hailed Forest’s training facility on the banks of the Trent as fantastic.
“The facilities are fantastic. Championships are won Monday to Friday. The 3pm is the end product,” he told a Magpies fan forum held at Meadow Lane on Tuesday night.
Nottingham Forest latest
This is your round up of all things Forest; the one-stop shop that will keep you updated on the latest goings on at the City Ground and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Reds throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- Reds skipper Dawson on the battle ahead
- New Notts owners on Forest relationship
- Lamouchi's message over stadium plans
- Worrall picks his Reds team of the decade
For all your latest NFFC news, opinion, analysis and transfer gossip, click here
You can follow our Reds reporter Sarah Clapson on Twitter, and her email address is Sarah.Clapson@reachplc.com


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Analysing the evolution of the structure of the Table of Content (TOC) throughout time dimension helped us to identify which issues were most important for the users involved in the page development.
Rogers 2012, Neutral or National Point of View? A Comparison of Srebrenica Articles accross Wikipedia’s language versions Kittur 2008, Harnessing the Wisdom of Crowds in Wikipedia Quality through Coordination 266


Rafael Nicolas Gapuz
<EMAIL_ADDRESS>(+63)9058479889
(074)42-2147
School |
Address |
Year Graduated |
|
| Tertiary | University of the Cordilleras | Gov. Pack Rd, Baguio, Benguet, Philippines
|
2018 |
| Secondary | Baguio City National Highschool | >Gov. Pack Rd, Baguio City |
2011 |
| Primary | Mabini Elementary School | Salud Mitra Barangay, Baguio City |
2007 |
Computer Software and Hardware Literate
Basic Machining Operations
Basic knowledge in AutoCAD Software
Basic in Microsoft Office: Word, PowerPoint, Excel
Basic Automotive Applications
Loakan, Baguio City, Philippines
February 2016
Loakan, Baguio City, Philippines
May 2016
CEO
Kate Technologies
(+63)912 921 6131
Senior Game Developer
SuperCell Technologies
(+63)956 132 7704
CEO
Malyonz Technologies
(+63)956 132 7702


Snookes1516.github.io
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I'm from Portsmouth, UK. I live and work in Yeongdong, South Korea.
I'm learning how to code at Code School.
I'm interested in working with the following front end languages:
You can get in touch with me via Github.


https://egghead.io/lessons/webgl-introduction-to-webgl-shaders
Vertices - Points in a 3D space.
Shaders - How vertices are interpreted and render.
Shaders written in "OpenGL Shader Language" (GLSL). JS Strings compiled into functional shader code.


This is a comparison of containerization and virtualization with a virtual machine. Running multiple virtual machines from relatively powerful hardware is still a common scenario when developing and deploying application. Digital workspaces feature both virtualization and containerization, and the idea is to make applications as readily available and scalable as possible for users. Traditional virtualization allows for full isolation of applications so that they run independently of each other using actual resources from the underlying infrastructure, but containerization takes this idea to a new level by separating and making each container independent and easily scalable.


Romania's Iohannis wins presidential ballot, will face runoff
BUCHAREST (Reuters) - Romania’s incumbent President Klaus Iohannis won the first round of a presidential election on Sunday, and is likely to face opposition Social Democrat leader and former Prime Minister Viorica Dancila in a Nov. 24 runoff, exit polls showed.
An exit poll conducted by IRES pollster showed Iohannis garnered 38.7% of votes followed by Dancila with 22%. Save Romania Union head Dan Barna got 16.1%. Another poll by Curs-Avangarde ranked Iohannis first with 39% and Dancila with 22.5%.
Data by the electoral bureau, which is expected to unveil partial official results from Monday morning, showed robust turnout of 48% with a record high diaspora voter presence of 660,000 - which was not taken into account by the exit polls.


You will soon get lost, writing JavaScript code without a debugger.
It is difficult to write JavaScript code without a debugger.
Your code might contain syntax errors, or logical errors, that are difficult to diagnose.
Often, when JavaScript code contains errors, nothing will happen. There are no error messages, and you will get no indications where to search for errors.
| Normally, errors will happen, every time you try to write some new JavaScript code. |
Searching for errors in programming code is called code debugging.
Debugging is not easy. But fortunately, all modern browsers have a built-in debugger.
Built-in debuggers can be turned on and off, forcing errors to be reported to the user.
With a debugger, you can also set breakpoints (places where code execution can be stopped), and examine variables while the code is executing.
Normally, otherwise follow the steps at the bottom of this page, you activate debugging in your browser with the F12 key, and select "Console" in the debugger menu.
If your browser supports debugging, you can use console.log() to display JavaScript values in the debugger window:
In the debugger window, you can set breakpoints in the JavaScript code.
At each breakpoint, JavaScript will stop executing, and let you examine JavaScript values.
After examining values, you can resume the execution of code (typically with a play button).
The debugger keyword stops the execution of JavaScript, and calls (if available) the debugging function.
This has the same function as setting a breakpoint in the debugger.
If no debugging is available, the debugger statement has no effect.
With the debugger turned on, this code will stop executing before it executes the third line.
Normally, you activate debugging in your browser with F12, and select "Console" in the debugger menu.
Otherwise follow these steps:
|
Debugging is the process of testing, finding, and reducing bugs (errors) in computer programs. The first known computer bug was a real bug (an insect), stuck in the electronics. |


{include file="common/meta" /}
{include file='common/header' /}
{if $fixedmenu}
{/if} {if $referermenu}
{/if}
{include file="common/control" /}
{include file="common/script" /} {if $site.head_skin}
{/if}


Challenge 4.1
Write code that will log to the console "Interval Hello!" every 2 seconds (see setInterval).
Use the given clearAllIntervals function to clear all the messages when you have this functionality working.


Default Title
No Recipe Type found, Please Add a Recipe Type(Enter only: Breakfast,Lunch/Dinner,Snacks or Drinks)
Add Type


Black Forest Cake Recipe
INGREDIENTS
- 1 tin (400 gms)Nestlé: MILKMAID
- 1¾ cup (175 gms): Maida (All-purpose Flour)
- 3-4 heaped tbsp (25gms): Cocoa Powder
- 1 tsp: Baking Powder
- 1 tsp: Soda Bicarbonate
- 100 gms: Butter
- 1 tsp: Vanilla Essence
- 200 ml: Aerated Soda
- 1: small Tin Cherries
- 200 gms: Fresh Cream
- 2 tsp: Icing Sugar/Powdered Sugar
- 50 gms: Milk Chocolate
how to make:....
- Grease an 8” baking tin and dust it with flour. Pre heat the oven to 180o C. Sieve together maida, cocoa powder, baking powder, and soda bicarbonate.
- Soften butter (DO NOT MELT), add it to Nestlé MILKMAID, and beat well. Now add vanilla essence. Add maida mixture and aerated soda alternately to the batter till all the maida and soda are used up.
- Pour the batter into the baking tin and bake in the preheated oven for 45-50 minutes or till the toothpick inserted in the center of the cake comes out clean. Remove from oven, cool for a while. Loosen sides of cake, using a knife if necessary. Turnout over a wire rack or plate and cool slightly before cutting horizontally into 2.
- Drain & destone cherries, soak both cake halves with cherry syrup. Whip cream and sugar till light and fluffy, sandwich the two layers of cake with whipped cream and chopped cherries. Top with whipped cream, cherries and grated milk chocolate. Chill and serve.


This function runs eight ASSIGN runs based on the pathway optimizations from the paper. You can run all eight pathways in serial, or call this function and specify the run parameter to run a specific pathway. Some ASSIGN parameters can be customized using this function. The default values were used in the analysis for the paper.
runassignGFRN(indata, run = c("akt", "bad", "egfr", "her2", "igf1r", "krasgv", "raf"), optimized_geneList = NULL, use_seed = 1234, sigma_sZero = 0.05, sigma_sNonZero = 0.5, S_zeroPrior = FALSE, iter = 1e+05, burn_in = 50000, exclude_common_genes = FALSE, adaptive_S = TRUE, ECM = FALSE)
| indata | The list of data frames from ComBat.step2 |
|---|---|
| run | specifies the pathways to predict. The default list will cause all eight pathways to be run in serial. Specify a pathway ("akt", "bad", "egfr", etc.) or list of pathways to run those pathways only. |
| optimized_geneList | a list of custom optimized gene lists for the gfrn pathways either created manually or output by optimizeGFRN |
| use_seed | Set the seed before running ASSIGN. This will make the result consistent between runs. The default is 1234. Set use_seed as FALSE to not set a seed. |
| sigma_sZero | Each element of the signature matrix (S) is modeled by a spike-and-slab mixture distribution. Sigma_sZero is the variance of the spike normal distribution. The default is 0.05. |
| sigma_sNonZero | Each element of the signature matrix (S) is modeled by a spike-and-slab mixture distribution. Sigma_sNonZero is the variance of the slab normal distribution. The default is 0.5. |
| S_zeroPrior | Logicals. If TRUE, the prior distribution of signature follows a normal distribution with mean zero. The default is FALSE. |
| iter | The number of iterations in the MCMC. The default is 100000. |
| burn_in | The number of burn-in iterations. These iterations are discarded when computing the posterior means of the model parameters. The default is 50000. |
| exclude_common_genes | Remove commonly differentially expressed genes for overexpression signatures. The default is FALSE. |
| adaptive_S | Logical. If TRUE, the model adapts the signatures (S) of genomic measures for the test samples. The default for GFRN analysis is TRUE. |
| ECM | Logicals. If TRUE, ECM algorithm, rather than Gibbs sampling, is applied to approximate the model parameters. The default is FALSE. |
Data is output to the current working directory in a results directory.
# NOT RUN { testData <- read.table("https://www.dropbox.com/s/6iuxcr2f0fjbirv/icbp_Rsubread_tpmlog.txt?dl=1", sep='\t', row.names=1, header=1) combat.data <- ComBat.step2(testData, pcaPlots = TRUE) runassignGFRN(combat.data) # }


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The best RAM for your Dell XPS 15
by Rich EdmondsSource: Windows Central
Best Dell XPS 15 Compatible RAM Windows Central 2019
The easiest way to upgrade the performance of your Dell XPS 15 is to increase the RAM. The Corsair Vengeance Performance 32GB DDR4 kit is the perfect upgrade for the Dell XPS 15 (7590 and 9570), allowing you to really take advantage of the GTX GPU and Intel Core i7 processor. The more RAM you have, the more you can do at once on your notebook.
Best Overall: Corsair Vengeance Performance 32GB DDR4 kit
Source: Corsair
Your Dell XPS is made up of the main motherboard, the processor, GPU, RAM, and other components. While you can freely switch out the processor, GPU, and motherboard in a desktop PC, things aren't so straightforward in notebooks. The RAM and storage are really the only two areas you will be able to touch without doing some advanced tinkering.
The Dell XPS 15 can be kitted out with up to 32GB of RAM from Dell, though you can get away with just 8GB on the base model. Windows 10 will work well with 8GB so long as you don't want to do anything too intense.
Upgrading the RAM is the best way to boost the performance of your XPS 15.
When you run out of RAM, Windows will rely on the page file, which is essentially emulated RAM on the main storage device. The Dell XPS 15 has super-fast flash storage, but it's still nowhere near as efficient than RAM modules. Therefore we'd recommend upgrading the RAM inside your XPS 15 if you notice some dips in performance.
Moving up to 16GB with the Crucial kit is a great way to boost the capabilities of the notebook, and if you already have 16GB with a GTX 1650 and Core i7 configurations, you'll need to go up to 32GB with the Corsair kit. Once upgraded you'll notice an immediate difference, especially if Task Manager shows you frequently hitting the limit.
The Corsair Vengeance Performance 32GB (2x16GB) kit is clocked at 2666MHz, runs at 1.2v, and has a latency rating of 18-19-19-39. These figures are pretty good for speedy notebook memory. We've also tried and tested these specific modules because not all RAM is supported. Need to know how to upgrade your RAM in the Dell XPS 15? We have you covered with an easy-to-follow guide, which was written for the XPS 15 9570 but should be valid for the newer 7590.
Pros:
- Great performance
- The abundance of RAM
- Reliable brand
- 2666MHz speed
- Compatible with the XPS 15
Cons:
- Pricey
- Not everyone needs 32GB of RAM
Best Overall
Corsair Vengeance Performance 32GB DDR4 kit
When 16GB of RAM just isn't enough.
This 32GB kit is more than you'll likely require but is perfect for those who use intense and power hungry software.
Budget Upgrade: Crucial 16GB DDR4 Kit
Source: Crucial
You may not need 32GB of RAM or have the necessary funds to pick up two 16GB modules in a kit. This is where this Crucial 16GB kit comes into play. You will need to replace the existing module in your Dell XPS 15 laptop and use both of these Crucial RAM modules to ensure compatability and optimal performance, but this kit is vastly more affordable than our leading recommendation.
You'll want to bump your XPS 15 up to at least 16GB to improve the performance considerably. Even if you don't have the GTX 1650 and Intel Core i7 processor, it's still worth doing and is really the only upgrade you can make without doing some advanced work. It's also not completely out of the range of most budget-conscious XPS 15 owners.
Pros:
- Affordable
- Reliable brand
- 2666MHz speed
- Compatible with the XPS 15
Cons:
- No good if you already have 16GB
Best Value
Crucial 16GB DDR4 Kit
Upgrade to 16GB of RAM for enhanced performance.
If you order the base model of the XPS 15, not only is this Crucial RAM kit reliable, but it's also speedy.
Bottom line
The Corsair Vengeance Performance 32GB DDR4 kit is your go-to upgrade for an XPS 15 with 16GB of RAM. It's quick, comes from a reputable brand known for reliable memory modules, and comes with a lifetime warranty.
If you don't want to spend too much on RAM or only have 8GB to begin with, Crucial's 16GB kit is a great upgrade to bring you up to 16GB of RAM for enhanced XPS 15 performance.
We may earn a commission for purchases using our links. Learn more.


iFruit 2 - Battery Life
Document Id: KBDOC-00041
Created: 2010-05-20
Updated: 2010-06-02
iFruit 2 Battery Life
Just like any other electric device, the iFruit 2 must be charged. If it seems to be discharging quickly, you are using the phone too much.
Charging the phone
- Rub a baloon on your head and discharge the charge on the phone.
- Walk across carpet.
- Use the Raiden Lightning move to charge the phone instantaneously.
Tags: mobilephone, battery life, thereafter, would, they