|
Combined Cycle Power Plant Data Set
Download: Data Folder, Data Set Description
Abstract: The dataset contains 9568 data
points collected from a Combined Cycle Power Plant over 6 years
(2006-2011), when the plant was set to work with full load.
|
|
Data Set Characteristics: |
Multivariate |
Number of Instances: |
9568 |
Area: |
Computer |
Attribute Characteristics: |
Real |
Number of Attributes: |
4 |
Date Donated |
2014-03-26 |
Associated Tasks: |
Regression |
Missing Values? |
N/A |
Number of Web Hits: |
150350 |
Source:
Pınar Tüfekci, Çorlu Faculty of Engineering, Namık Kemal University, TR-59860 Çorlu, Tekirdağ, Turkey Email: ptufekci '@' nku.edu.tr
Heysem Kaya, Department of Computer Engineering, Boğaziçi University, TR-34342, Beşiktaş, İstanbul, Turkey Email: heysem '@' boun.edu.tr
Data Set Information:
The dataset contains 9568 data points collected from a
Combined Cycle Power Plant over 6 years (2006-2011), when the power
plant was set to work with full load. Features consist of hourly average
ambient variables Temperature (T), Ambient Pressure (AP), Relative
Humidity (RH) and Exhaust Vacuum (V) to predict the net hourly
electrical energy output (EP) of the plant. A combined cycle power
plant (CCPP) is composed of gas turbines (GT), steam turbines (ST) and
heat recovery steam generators. In a CCPP, the electricity is generated
by gas and steam turbines, which are combined in one cycle, and is
transferred from one turbine to another. While the Vacuum is colected
from and has effect on the Steam Turbine, he other three of the ambient
variables effect the GT performance. For comparability with our
baseline studies, and to allow 5x2 fold statistical tests be carried
out, we provide the data shuffled five times. For each shuffling 2-fold
CV is carried out and the resulting 10 measurements are used for
statistical testing. We provide the data both in .ods and in .xlsx formats.
Attribute Information:
Features consist of hourly average ambient variables - Temperature (T) in the range 1.81°C and 37.11°C, - Ambient Pressure (AP) in the range 992.89-1033.30 milibar, - Relative Humidity (RH) in the range 25.56% to 100.16% - Exhaust Vacuum (V) in teh range 25.36-81.56 cm Hg - Net hourly electrical energy output (EP) 420.26-495.76 MW The
averages are taken from various sensors located around the plant that
record the ambient variables every second. The variables are given
without normalization.
Relevant Papers:
Pınar Tüfekci, Prediction of full load electrical
power output of a base load operated combined cycle power plant using
machine learning methods, International Journal of Electrical Power
& Energy Systems, Volume 60, September 2014, Pages 126-140, ISSN
0142-0615, [Web Link]. ([Web Link])
Heysem
Kaya, Pınar Tüfekci , Sadık Fikret Gürgen: Local and Global Learning
Methods for Predicting Power of a Combined Gas & Steam Turbine,
Proceedings of the International Conference on Emerging Trends in
Computer and Electronics Engineering ICETCEE 2012, pp. 13-18 (Mar. 2012,
Dubai)
Citation Request:
Pınar Tüfekci, Prediction of full load electrical
power output of a base load operated combined cycle power plant using
machine learning methods, International Journal of Electrical Power
& Energy Systems, Volume 60, September 2014, Pages 126-140, ISSN
0142-0615, [Web Link]. ([Web Link])
Heysem
Kaya, Pınar Tüfekci , Sadık Fikret Gürgen: Local and Global Learning
Methods for Predicting Power of a Combined Gas & Steam Turbine,
Proceedings of the International Conference on Emerging Trends in
Computer and Electronics Engineering ICETCEE 2012, pp. 13-18 (Mar. 2012,
Dubai)
|


|
|
| Options () |
| | Initialize parser.
|
| |
| | Options (const char *const *list) |
| | Initializes parser and sets the list of valid options. More...
|
| |
| void | set_optlist (const char *const *list) |
| | Set list of valid options. More...
|
| |
| int | parse (int argc, const char *const *argv, int *stop=0) |
| | Parse a command line. More...
|
| |
| int | next (string &opt, string &optarg) |
| | Return next option in the command. More...
|
| |
| int | getopt (const string &opt, string &optarg) |
| | Return a specific option from the command. More...
|
| |
|
int | getopt (char opt, string &optarg) |
| |
| bool | hasopt (const string &opt) |
| | Check if command line has an option. More...
|
| |
| bool | hasopt (char opt) |
| | Check if command line has an option. More...
|
| |
| const string & | usage (char sep=' ') |
| | Generate a nicely formatted usage string. More...
|
| |
|
const string & | appname () |
| |
The parser matches approximately the POSIX specifications from: http://pubs.opengroup.org/onlinepubs/9699919799/basedefs/V1_chap12.html and GNU Standard for Command line Interface at http://www.gnu.org/prep/standards/html_node/Command_002dLine-Interfaces.html
Usage Instructions
- Construct an options parsing object with it's list of valid options.
- Call the Options::parse() function to process the command line arguments.
- Call Options::getopt() function to retrieve the status of the varios options
Example
The following example shows the different formats available for options.
const char *optlist[] {
"a? optional_arg",
"b: required_arg",
"c+ one_or_more_args",
"d* 0_or_more_args",
"e|",
"f?longorshort optional",
":longopt required",
0 };
const char *samp_argv[]{ "program", "-a", "1", "-e", "--longopt", "par" };
optparser.parse (6, samp_argv);
string lo;
if (optparser.getopt ("longopt", lo))
{
}
if (optparser.hasopt ('e'))
{
}
| void mlib::Options::set_optlist |
( |
const char *const * |
list | ) |
|
- Parameters
-
| list | - array of option definition strings |
Each valid option is described by a string in the list array. Each string is composed of an option syntax part followed by a space and the option argument description
Example: "l?list option_argument"
In this example the option syntax part is
"l?list" and the argument description is
"option_argument"
The option syntax string has the following syntax: [short_form][arg_char][long_form]
short_form is a letter giving the short form of the option ('l' in the example above).
arg_char is one of:
- ? option has one optional parameter
- : option requires one argument
- + option has one or more arguments
- * option has 0 or more arguments
- | option doesn't have any arguments
long_form is the long form of the option ('list' in the example above).
The array is terminated by a NULL string.


---
layout: definitions
---
Let $A\subseteq\mathbb{R}^n$, $f:A\to\mathbb{R}^m$, and $\vec{a}\in \text{int}(A)$. Then $\vec{a}$ is a local maximum if there exists some $delta>0$ such that $f(\vec{x})\leq f(\vec{a})$ for all $\vec{x}\in B_{\delta}(\vec{a})$, and $\vec{a}$ is a local minumum if there exists $\delta>0$ such that $f(\vec{x})\geq f(\vec{a})$ for all $\vec{x}\in B_{\delta}(\vec{a})$. Either of the two cases are called local extremum.
Concepts
Coming soon
Used In
Coming soon
Hypothesis
- If $f(\vec{a})$ is a local maximum or minimum, then $\vec{a}$ is a critical point.
Results
- If the associated Hessian matrix is positive definite, then local minimum.
Related
Coming soon


Australia’s Qantas operates 19 ½ hour London-Sydney flight
PERTH, Australia (AP) - Australia’s national carrier Qantas has completed a 19-and-a-half hour non-stop flight from London to Sydney, part of a series of tests to assess the effects of very long-haul flights.
The Boeing 787-9 Dreamliner took off from London’s Heathrow Airport on Thursday morning and touched down at Sydney Airport 45 minutes behind schedule at 12:30 p.m. local time on Friday.
The 17,800 kilometer (11,060 mile) journey is part of Project Sunrise - Qantas’ goal to operate regular, non-stop commercial flights from Australia’s east coast cities of Brisbane, Sydney and Melbourne to London and New York.
TOP STORIES
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Last month, Qantas completed the first non-stop flight from New York to Sydney, which took 19 hours and 16 minutes.
Another New York to Sydney flight is expected next month to round out the project.
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Click on the landmarks to learn more about them and find treasures.
This section will contain the description of the landmark.


{{#if gameOver}}
GAME OVER. {{winningPlayer.name}} wins.
{{else}}
{{#if myTurn}}
{{currentPlayer.name}} ({{currentPlayer.username}}), it's your turn!
{{else}}
It's {{currentPlayer.name}}'s turn. Hold on tight!
{{/if}}
{{/if}}
{{#each occupations}}
{{> occupation}}
{{/each}}
{{> map}}


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The Image Gallery
A bunch of beautiful images that I didn't take(except for the first one!)


Dan Lemon
@dan2k3k4
d.o/dan2k3k4
Building a platform to bring people together to Celebrate Drupal
DrupalCon Europe 2020
by Dan Lemon
Can you guess all of the buildings?
https://celebratedrupal.org/2020/drupalcon-europe/photo
Thank you
DrupalCon Europe 2020


10
i
1
10
1
123
1
100
1
100
5
TEMPLATE GENERATOR
Add and highlight surface forms
Action dictionary and surface forms
Generated surface forms


TKUICLab-humanoid : https://github.com/TKUICLab-humanoid Soccer_Race : https://github.com/TKUICLab-humanoid/Soccer_Race


EC Supported Authentication Methods¶
| Authentication Type | Version 7.0.8 | Version 7.3.2 | Version 7.3.3 |
|---|---|---|---|
| Basic | Yes | Yes | Yes |
| PKI | Yes | Yes | Yes |
| OAuth 2.0 | No | No | No |
| SAML 2.0 | No | No | No |
Basic Authentication
Basic authentication is the simplest login method. The user supplies a username and password that are compared against known username/password combinations to verify the user’s identity.
PKI Authentication
With Public Key Infrastructure authentication, the user has their own security certificate, with a public key, that they provide to the server to verify their identity. This is often in the form of a smart card that can be read by the client’s computer.
SAML 2.0 and OAuth 2.0 (Unsupported as of 7.3.3)
SAML and OAuth operate differently under the hood, but the underlying concept is similar. In both cases, when a user attempts to access a service, they are redirected to a separate Identity Provider to login. Once their identity has been verified, an access token is created that allows access the requested service.
Note
In SAML and OAuth workflows, Basic and PKI login can still be used by the Identity Provider to validate the user. However, the resulting access token may allow access to multiple sites or services. This is often referred to as Single Sign-On.


A novel T-cell trans-activator that recognizes a phorbol ester-inducible element of the interleukin-2 promoter.
Abstract
The interleukin 2 (IL-2) gene promoter is recognized by several cell-type-specific and ubiquitous transcriptional regulators that integrate information transmitted by various signaling systems leading to IL-2 production and T-cell activation. Using a combination of transfection, protein-DNA binding, and in vitro transcription methods, we have discovered the novel T-cell-specific transcriptional activator TCF-1 (for T-Cell Factor-1), which recognizes a T-cell-specific response element (TCE) located within the IL-2 promoter. Although the TCE is similar in sequence to a consensus NF kappa B site, several criteria indicate that TCF-1 is distinct from NF kappa B. However, like NF kappa B, TCF-1 activity is induced by phorbol esters and other T-cell activators.


Across: 8. Boss tends ripe bananas (9) 9. It provided beneficial flood of inner feelings on reflection (4) 10. Moment when commander briefly in dispatch (6) 11. Crazy rich goal to be one? (8) 12. Greenie upset about neutral first 8 of 10 18 23 excelling as this... before his 7 down and 15 across (8) 14. Get lyrical smoking ice and pot (6) 15. Death of a leader, as sensible leader as is returned by 23 (13) 18. Japan perhaps belonging to another country (6) 20. It delivers great destruction with zero reconstruction (8) 23. Broken club ripe for new form of administration (8) 25. Concerned with unusual free drug delivery (6) 26. 9 warped? It's usually straight! (4) 27. Relieving when police rang ordering take-away donut (9) Down: 1. Organ grinders pump until the tune within finishes (6) 2. Some lied about sequences of notes (8) 3. Device for reading things like letters about Indian capital (6) 4. Bold one on foreign shores, naked (4) 5. Country wept, choir of pain as only every 10 remaining (8) 6. Take over largely deviant movement (6) 7. House, for instance, changing hands as part of democratic process. (The 10 18 23 had their first in 1922.) (8) 13. Regime with wealthy controlling leader from 7 (5) 15. Fiddling with rein, coax one reluctant to carry weight (8) 16. They study greeting in Spain (in between Seychelles and Serbia) (8) 17. Bold features in "Return of Heidi": pert nipples (8) 19. Used to be covered without 10 (6) 21. Revolutionary was inexperienced in capital (6) 22. Come out with enzyme wrapper to contain stray germ (6) 24. You might see one at the shore or on a super 4 (4)


{% extends 'administration/base_admin.html' %} {% load mptt_tags i18n %} {% block title %}{% trans "Page manager" %}{% endblock %} {% block action_close %}admin.pages.cancel_form();{% endblock %} {% block content %}
{{ node.title }}{% if node.draft %} - {% trans "Draft" %} : {% trans "Bring online" %}{% endif %}
URL : {% if node.slug %}{% if node.level != 0 %}..{% endif %}/{{ node.slug }}/{% else %}/{% endif %} {% trans "Page type" %} : {{ node.verbose_name_app }} {% if node.app_page_object.details %} - {{ node.app_page_object.details }} {% endif %}
{% trans "You website can have an unlimited number of page. This screen allow you to manage your pages. You can create a new one, but also edit and delete those already existing." %}
{% trans "Each page of your website as a type (also call Page App) which allow you to display informations in the optimized way (ex: blog, pictures, ...)" %}
{% trans "To move a page, click on the extreme right part and drag it to the wished position. The address (url) will automaticaly be edited and the structure of your site modified in real time (Be careful, changing a page address will unvalid existing link on this page, which will have to be manually edited.)" %}


For our final lesson, we will introduce you to loops. Loops can allow thousands of lines of code to be reduced down to only a few lines. There are a few types of loops, but for now, we will focus on the For Loop.
A basic For Loop is structured as follows:
for (where to start the loop; when to end the loop; size of increment)
Let's break this down a little. We first have to decide where we want to start the loop. To do this, we introduce a variable and assign it some value, let's say 0. Then, we need to decide when the loop should stop looping. That can be a number, and it can also be a variable. For example, your loop could start at 0 and end whenever the loop reaches the end of a list,and if you don't know how long that list is, then you may consider using the length of that list as your endpoint.
Now, we move onto the incrementor. Depending on the application of your loop, the incrementor can be a number or a variable. For now, let's leave the incrementor at 1, which is its most widely used value.
The typical incrementor constructor is "+=", which means you are adding and re-defining the variable to whatever the sum is. For example, var x = 1. If you do, x += 1, then x = 2. Then if you do x += 10, x will be 12! This is useful in loops to increment up by a set value on each iteration of the loop. Let's watch one run! What numbers do you think will be printed out from the below?
We ran the "console.log();" function on the variable itself (i), so we can watch how i gets transformed over the course of the loop.
Quiz time! How many times will "Hello" be printed out using the below code?
for (var i = 0; i <= 25; i += 1) {
console.log("Hello");
}


http://www.susangranger.com/
Susan Granger's review of "THE EYES OF TAMMY FAYE" (Lions Gate Films)
A hit at the Sundance Film Festival, this kitschy and affectionate documentary by Randy Barbato and Fenton Bailey chronicles the life and times of Tammy Faye Bakker, ex-wife of evangelist Jim Bakker who - in a spectacular and highly publicized free-fall from grace - lost control of the PTL (Praise the Lord) Ministries to manipulative minister Jerry Falwell and wound up in jail. Narrated by "RuPaul" Charles, it delves beneath the public persona of the teary Tammy Faye and into the storybook life of the couple who had the audacity to make Christian fellowship fun, creating a Heritage USA water park that was the ultimate baptismal font and openly welcoming homosexuals into their PTL Club. Tammy Faye grew up as a humble Christian girl who loved puppets and had such strong faith that she claims a wart on her finger was cured during a Sunday communion. When she was in college, she met and married Jim Bakker, whose faith matched hers. Together, they cultivated the electronic pulpit, building three Christian television networks and becoming arguably the most popular Christian force in the United States. Their dreams were expensive and their money-raising schemes extensive. Then, in the 1980s, scandal rocked Tammy Faye's life, destroying her reputation and her marriage. Nevertheless, Tammy Faye is once again on her feet, the indomitable survivor, back in the limelight where she feels she belongs. Obviously, the filmmakers are sympathetic and their bias propels the narrative. On the Granger Movie Gauge of 1 to 10, "The Eyes of Tammy Faye" is an ironic, irreverent, comic 7. I suspect that one of the reasons this film resonates so strongly with audiences is that we live in a very judgmental society and, just perhaps, we were wrong about Tammy Faye.
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


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socket_server module¶
-
class
socket_server.
Server
(ip, port)[source]¶ Bases:
object
Main server class for managing the server and attendance records
-
accept_connection
()[source]¶ Accept the connection from a requesting client :return: Client Socket and Client address
-
close_connection
(csock, caddr)[source]¶ Close connection with the client :param csock: {socket} Client socket to be closed :param msg: {str} Client address :return: {str} confirmation/error message
-
recv_msg
(csock)[source]¶ Receives text msg from a client :param csock: {socket} Client socket from which the message has to be received :return: {str} The recieved message or an error message
-


Hire Gael Bergeron
Learning software development @ Dev Bootcamp
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January 2014 – April 2015
The Corporate Development team is in charge of supporting growth initiatives across the network. In 3 years the company more than double the size of its staff - from 160 to 400 - and revenue - in the dozens of millions - with a few challenges along the way.
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ComFree plays a key role in disrupting and driving innovation in the Canadian real estate industry. As part of my role I oversaw a $2.5M+ marketing budget for English Canada provinces and managed product launches.
Corporate Development Associate, ComFree Network
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Corporate Development Analyst, ComFree Network
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Transaction Services Analyst, Deloitte
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M&A strategies & commercial due diligence. Our team advised companies, financial investors and government entities on potential investments and market development strategies.
Education
Dev Bootcamp
Computer Software Engineering
2015
19-week intensive full-stack program to learn Ruby, Rails, HTML/CSS, Javascript, SQL.
Université de Montréal - HEC Montréal
Bachelor, Finance - "With great distinction"
2007 – 2010
Honor distinction & Mercure excellency profile. As a research assistant, I have been involved in a longitudinal study on strategic governance and performance factors of Fortune 1000's family companies. I was employed by the professors Isabelle Le Breton and Danny Miller, in an assignment to find, extract and codify data from documents of the Securities Exchange Commission.
Singapore Management University
Undergraduate, Management
2009 – 2009
Six months exchange program with HEC Montréal


Classes tightly coupled to UCSC Genome Browser. Classes to manipulate bed graphs, to access browser MySQL, etc.


1. Fix mytt
as we last left it in the Exercises to Lecture 2 ( it is attached below), to return
r(t)
and r(df)
. Remember,
mytt
is now implemented in terms of mytti
, so first fix mytti
to return
r(t)
and r(df)
and then fix
mytt
to return those values.
This was really pretty easy. Most of the routines just needed an rclass
option on the program
and a return add
added at the right place.
For instance, all I did to change program mytt
in mytt.ado
,
program mytt
syntax varname [=/exp] [if] [in] [, BY(varname) *]
if "`exp'"=="" {
tt_3 `0'
}
else {
capture confirm number `exp'
if _rc==0 {
tt_1 `0'
}
else {
tt_2 `0'
}
}
end
was change
program mytt
to
program mytt, rclass
and then add
return add
right before the end
. What I'm doing is assuming that
tt_1, tt_2,
and tt_3
are
changed to return r(df)
and r(t)
, so all I need to do is pick up their returned values.
Anyway, the changes were all of this form until I got to mytti.ado
, where the values finally are defined. There, I
started with things that looked like
program tt_1i
args n xbar s eqsign mu
local t = (`xbar'-`mu')*sqrt(`n')/`s'
di "t(" `n'-1 ") = " `t'
end
and changed them to read
program tt_1i, rclass
args n xbar s eqsign mu
return scalar t = (`xbar'-`mu')*sqrt(`n')/`s'
return scalar df = `n' - 1
di "t(" return(df) ") = " return(t)
end
Anyway, here it is:
| ADO-FILE: mytt1.ado |
|---|
|
2. Explain why the following does not work:
. summarize mpg
Variable | Obs Mean Std. Dev. Min Max ---------+----------------------------------------------------- mpg | 74 21.2973 5.785503 12 41. mytti r(N) r(mean) r(sd) = 20
'r' found where integer expected r(7);
Explain why the following does work:
. summarize mpg
[output omitted]. mytti `r(N)' `r(mean)' `r(sd)' = 20
t(73) = 1.9289201
We wrote mytti
, so its behavior should not be a
mystery to us. Just in case it is, however, we could set
trace on
and discover the problem:
. set trace on
. mytti r(N) r(mean) r(sd) = 20
---------------------------------------------------------------- begin mytti --- tokenize "`0'", parse(" =,") = tokenize "r(N) r(mean) r(sd) = 20", parse(" =,") - IsObs `1' = IsObs r(N) ---------------------------------------------------------- begin mytti.IsObs --- - args n - confirm integer number `n' = confirm integer number r(N) 'r' found where integer expected ------------------------------------------------------------ end mytti.IsObs --- ------------------------------------------------------------------ end mytti --- r(7);
Of course—we wrote mytti
to accept numeric
arguments. The characters r(N)
do not constitute a number—They are the
characters r followed by ( followed by N followed by ). r(N)
is the expression that, if evaluated, evaluates to the
number of observations.
Next we are to explain why
. summarize mpg
. mytti `r(N)' `r(mean)' `r(sd)' = 20
does work. After typing summarize mpg
, I suggest you
type return list
to see what summarize
stored. You will discover that r(N), r(mean),
and r(sd)
are
scalars. Now remember how the r()
function works: if
we put r()
in single quotes—if we type `r()'
—the function is evaluated and the literal number
substituted in its place. Thus `r(N)'
is the
character string 73
and something like 73
is what our program expects.
The point is that if you are writing a program and if you want to pass a returned result to a subroutine that expects numeric arguments, you can quote the returned result but not expressions of the returned result.
3. In Exercise 4 of Lecture 2, we wrote predexp
to create a new variable containing the predictions
of the mean y after a regression of ln(y). As such, predexp
was our first example of a post-estimation command.
In this lecture, we emphasized that we should ensure that a post-estimation
command is not accidentally misused by verifying that the stored estimates are
what they are supposed to be. Since our command is for use after regress
, the lecture recommended we include the code
if "`e(cmd)'" != "regress" {
error 301
}
The predexp
program contains no such lines:
program predexp
syntax newvarname [if] [in]
tempvar new
quietly {
local s2 = e(rmse)^2
tempvar pred
predict double `pred' `if' `in'
gen `typlist' `new' = exp(`pred')*exp(`s2'/2)
rename `new' `varlist'
}
end
What happens if predexp
is misused? Explain.
Try it after, say, logistic
. You get a variable with
all missing values. Why? Because logistic
does not
save e(rmse)
so, in our program, e(rmse)
evaluates to missing value.
4. linreg
has one problem: it does not produce correct
results in the presence of collinear variables. For instance, if you
. generate new = mpg
. linreg price mpg new foreign
the coefficients are correct but the standard errors, t-statistics, significance levels, and confidence intervals are incorrect. This is all caused by the line
local k = rowsof(`XX')
Fix it.
Hint: The problem of collinear variables arises, numerically, when inverse
matrices are calculated: X'X is not a full-rank matrix. Stata's invsym()
function is prepared to deal with such matrices.
In the case of a singular matrix, invsym()
drops
collinear rows and columns until the matrix can be inverted. invsym()
returns a matrix that is physically k × k, but
it sets diagonal elements to 0 where the corresponding variable was dropped.
That is, in the lines
local k = rowsof(`XX')
mat `XXinv' = invsym(`XX')
matrix `XXinv'
will be physically k × k but may
contain zeros on the diagonal. For our calculation formulas , k is the number
of estimated parameters (or, the rank of X'X), which is to say, the number of
nonzero elements on the diagonal of `XXinv'
.
Hint 2: Find out about the diag0cnt()
function.
Where the two lines
local k = rowsof(`XX')
mat `XXinv' = invsym(`XX')
appear, we want to substitute
mat `XXinv' = invsym(`XX')
local k = rowsof(`XXinv') - diag0cnt(`XXinv')
Thus the improved linreg.ado
reads
| ADO-FILE: linreg1.ado |
|---|
|
5. Change logisreg
to allow an or
option that
would report odds ratios (exponentiated coefficients) rather than the
coefficients themselves. Start with the improved version of
logisreg.ado
.
Hint: Note that ml display
has an eform()
option. Specify option eform(or)
on that statement and you will have the results
you want. So now you just have to figure out how to get eform(or)
on that statement when you want it there.
This was straightforward, the trick being to remember that the or
is a playback option. The changed lines are marked with
/* <- */.
| ADO-FILE: linreg2.ado (improved) |
|---|
|


I have yet to see any problem, however complicated, which, when you looked at it in the right way, did not become still more complicated. --Poul Anderson[ source]


News
‘Smart Money Came In’ After First Bitcoin ETF Rejection — Analyst
by William SubergBitcoin (BTC) changed its volatility characteristics as Cameron and Tyler Winklevoss unveiled the first Bitcoin exchange-traded fund (ETF), new data claims.
Uploaded to social media by well-known statistician Willy Woo on Nov. 1, a chart of Bitcoin volatility shows a new phase beginning around March 2017.
Woo: “Smart money came in” after Winklevoss rejection
This, the time at which U.S. regulators rejected the Winklevoss’ ETF application, was nonetheless a watershed moment for Bitcoin.
“My thesis has always been that the 2017 Winklevoss ETF attempt was the first time in Bitcoin's history that it was described as a financial instrument instead of drug money,” Woo summarized.
He added:
“It was covered in the WSJ. Smart money came in, the rise of crypto quant funds.”
Bitcoin volatility before and after the first Bitcoin ETF. Source: Willy Woo, Twitter
Bitcoin market resilience grows
According to Woo’s chart, the ETF denial formed the definitive reversal of lessening volatility which had characterized Bitcoin since 2012.
Thereafter, volatility increased, albeit not to the extent seen during that year. Further ETF rejections similarly failed to produce the same price impact seen in March 2017.
As Cointelegraph reported, volatility nonetheless remains a point of reflection for market participants keen to attract more new investment into the cryptocurrency space.
Earlier this year, Brian Armstrong, CEO of cryptocurrency exchange Coinbase, highlighted the need to reduce the impact of volatility through the use of instruments such as stablecoins.


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SECS-Simulator Macro reference
Macro Recipe Format
Format is JSON(RFC 8259), write directly.
{
"tasks": [
{
"command": string,
"option": string,
"timeout": number
},
...
]
}
Download and see macro-recipe-examples.
Command Manual
- open
- Open communicator and blocking until communicating.
If already opened, close communicator and re-open.
- close
- Close communicator.
- send-sml-alias, sendsmlalias
- Send by alias-name of added SMLs.
Require "option", alias-name of added SML string.
- send-sml-direct, sendsmldirect
- Send option SML.
Require "option", send SML string.
- wait-sxfy, wait, waitsxfy
- Waiting until received option "SxFy"
Require "option", waiting "SxFy" format string.
If "timeout" setted > 0.0, waiting received "SxFy" until timeout, breaking macro task if timeout.
- sleep
- Sleep timeout seconds.
Require "timeout", sleeping seconds.


Use the mark element to highlight text.
The WHO was founded in 1948.
For 50 years, WWF has been protecting the future of nature. The world's leading conservation organization, WWF works in 100 countries and is supported by 1.2 million members in the United States and close to 5 million globally.
Use ctrl + p to open the Print dialog box.
For multiple lines of code, use the pre element:
Text in a pre element is displayed in a fixed-width font, and it preserves both spaces and line breaks.
Use the contextual classes to provide "meaning through colors":
This text is muted.
This text is important.
This text indicates success.
This text represents some information.
This text represents a warning.
This text represents danger.
Use the contextual background classes to provide "meaning through colors":
This text is important.
This text indicates success.
This text represents some information.
This text represents a warning.
This text represents danger.


3 Linear Algebra3.1 OverviewLinear algebra support in commons-math provides operations on real matrices (both dense and sparse matrices are supported) and vectors. It features basic operations (addition, subtraction ...) and decomposition algorithms that can be used to solve linear systems either in exact sense and in least squares sense. 3.2 Real matricesThe RealMatrix interface represents a matrix with real numbers as entries. The following basic matrix operations are supported:
Example: // Create a real matrix with two rows and three columns, using a factory // method that selects the implementation class for us. double[][] matrixData = { {1d,2d,3d}, {2d,5d,3d}}; RealMatrix m = MatrixUtils.createRealMatrix(matrixData); // One more with three rows, two columns, this time instantiating the // RealMatrix implementation class directly. double[][] matrixData2 = { {1d,2d}, {2d,5d}, {1d, 7d}}; RealMatrix n = new Array2DRowRealMatrix(matrixData2); // Note: The constructor copies the input double[][] array in both cases. // Now multiply m by n RealMatrix p = m.multiply(n); System.out.println(p.getRowDimension()); // 2 System.out.println(p.getColumnDimension()); // 2 // Invert p, using LU decomposition RealMatrix pInverse = new LUDecomposition(p).getSolver().getInverse(); The three main implementations of the interface are Array2DRowRealMatrix and BlockRealMatrix for dense matrices (the second one being more suited to dimensions above 50 or 100) and SparseRealMatrix for sparse matrices. 3.3 Real vectorsThe RealVector interface represents a vector with real numbers as entries. The following basic matrix operations are supported:
The RealVectorFormat class handles input/output of vectors in a customizable textual format. 3.4 Solving linear systemsThe solve() methods of the DecompositionSolver interface support solving linear systems of equations of the form AX=B, either in linear sense or in least square sense. A RealMatrix instance is used to represent the coefficient matrix of the system. Solving the system is a two phases process: first the coefficient matrix is decomposed in some way and then a solver built from the decomposition solves the system. This allows to compute the decomposition and build the solver only once if several systems have to be solved with the same coefficient matrix. For example, to solve the linear system 2x + 3y - 2z = 1 -x + 7y + 6x = -2 4x - 3y - 5z = 1 RealMatrix coefficients = new Array2DRowRealMatrix(new double[][] { { 2, 3, -2 }, { -1, 7, 6 }, { 4, -3, -5 } }, false); DecompositionSolver solver = new LUDecomposition(coefficients).getSolver(); RealVector constants = new ArrayRealVector(new double[] { 1, -2, 1 }, false); RealVector solution = solver.solve(constants); Each type of decomposition has its specific semantics and constraints on the coefficient matrix as shown in the following table. For algorithms that solve AX=B in least squares sense the value returned for X is such that the residual AX-B has minimal norm. Least Square sense means a solver can be computed for an overdetermined system, (i.e. a system with more equations than unknowns, which corresponds to a tall A matrix with more rows than columns). If an exact solution exist (i.e. if for some X the residual AX-B is exactly 0), then this exact solution is also the solution in least square sense. This implies that algorithms suited for least squares problems can also be used to solve exact problems, but the reverse is not true. In any case, if the matrix is singular within the tolerance set at construction, an error will be triggered when the solve method will be called, both for algorithms that compute exact solutions and for algorithms that compute least square solutions.
It is possible to use a simple array of double instead of a RealVector. In this case, the solution will be provided also as an array of double. It is possible to solve multiple systems with the same coefficient matrix in one method call. To do this, create a matrix whose column vectors correspond to the constant vectors for the systems to be solved and use solve(RealMatrix), which returns a matrix with column vectors representing the solutions. 3.5 Eigenvalues/eigenvectors and singular values/singular vectorsDecomposition algorithms may be used for themselves and not only for linear system solving. This is of prime interest with eigen decomposition and singular value decomposition. The getEigenvalue(), getEigenvalues(), getEigenVector(), getV(), getD() and getVT() methods of the EigenDecomposition interface support solving eigenproblems of the form AX = lambda X where lambda is a real scalar. The getSingularValues(), getU(), getS() and getV() methods of the SingularValueDecomposition interface allow to solve singular values problems of the form AXi = lambda Yi where lambda is a real scalar, and where the Xi and Yi vectors form orthogonal bases of their respective vector spaces (which may have different dimensions). 3.6 Non-real fields (complex, fractions ...)In addition to the real field, matrices and vectors using non-real field elements can be used. The fields already supported by the library are: |


JSON Compilation Database Format Specification
This document describes a format for specifying how to replay single compilations independently of the build system.
Background
Tools based on the C++ Abstract Syntax Tree need full information how to parse a translation unit. Usually this information is implicitly available in the build system, but running tools as part of the build system is not necessarily the best solution:
- Build systems are inherently change driven, so running multiple tools over the same code base without changing the code does not fit into the architecture of many build systems.
- Figuring out whether things have changed is often an IO bound process; this makes it hard to build low latency end user tools based on the build system.
- Build systems are inherently sequential in the build graph, for example due to generated source code. While tools that run independently of the build still need the generated source code to exist, running tools multiple times over unchanging source does not require serialization of the runs according to the build dependency graph.
Supported Systems
Currently CMake (since 2.8.5) supports generation of compilation databases for Unix Makefile builds (Ninja builds in the works) with the option CMAKE_EXPORT_COMPILE_COMMANDS.
Clang's tooling interface supports reading compilation databases; see the LibTooling documentation. Support for libclang is in the works.
Format
A compilation database is a JSON file, which consist of an array of "command objects", where each command object specifies one way a translation unit is compiled in the project.
Each command object contains the translation unit's main file, the working directory of the compile run and the actual compile command.
Example:
[ { "directory": "/home/user/llvm/build", "command": "/usr/bin/clang++ -Irelative -DSOMEDEF='\"With spaces and quotes.\"' -c -o file.o file.cc", "file": "file.cc" }, ... ]The contracts for each field in the command object are:
- directory: The working directory of the compilation. All paths specified in the command or file fields must be either absolute or relative to this directory.
- file: The main translation unit source processed by this compilation step. This is used by tools as the key into the compilation database. There can be multiple command objects for the same file, for example if the same source file is compiled with different configurations.
- command: The compile command executed. After JSON unescaping, this must be a valid command to rerun the exact compilation step for the translation unit in the environment the build system uses.
Build System Integration
The convention is to name the file compile_commands.json and put it at the top of the build directory. Clang tools are pointed to the top of the build directory to detect the file and use the compilation database to parse C++ code in the source tree.


Having implemented the small project about data analytics with Python, we are now well equipped to do something useful with the data analytics capabilities. In particular, we want to build a small Web app that serves a page where you can decide on a ticker symbol and you get back historical stock price data for that symbol.
The framework we are going to use is called Flask (cf. http://flask.pocoo.org/) and has become quite popular recently in the Python world. Installation in this case is straightforward:
sudo pip install Flask
sudo pip install flask-wtf
To get our Web app to be build served, we need a Web server. A popular choice in the Python world is Tornado (cf. http://www.tornadoweb.org/en/stable/). Install it via:
sudo pip install tornado
This should also be quick and straightforward. This is almost all we need to use the RPi as a Web server for Web sites or applications.
Let us see if we can implement the “Hello World!” example of Flask and get it served with Tornado. First the Web app itself:
#
# From http://flask.pocoo.org
#
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello World!"
As you see, a few lines of code suffice for a propor Web application—even if it is only a very small one. The download link for this Python module.
Next, we need to wrap the app into a WSGI container (cf. http://en.wikipedia.org/wiki/Web_Server_Gateway_Interface) to be served by Tornado:
#
# From http://flask.pocoo.org
#
from tornado.wsgi import WSGIContainer
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from flask_test import app
http_server = HTTPServer(WSGIContainer(app))
http_server.listen(5000) # serving on port 5000
IOLoop.instance().start()
Again only a few lines of code. The download link for this script. If you execute this last script via:
python web_serve.py
you should be able to see the result when going to the fixed IP or domain of your RPi in combination with port 5000 (cf. Fixed IP Address):
http://xx.yy.zz.100:5000
or:
http://rpi.mydomain.net:5000
This Web application retrieves historical stock price data for a user given ticker symbol and calculates two different trends (moving averages). It then outputs a figure with the data and results as well as a HTML table with the raw data.
Let us start with the Web app code itself:
#
# Historical Stock Prices
# with the RPi using Python & Flask
#
# stock_data.py
#
# (c) Dr. Yves J. Hilpisch
# The Python Quants
#
import pandas as pd
import pandas.io.data as web
import matplotlib.pyplot as plt
from flask import Flask, request, render_template, redirect, url_for
from forms import SymbolSearch
app = Flask(__name__)
@app.route("/", methods=['GET', 'POST'])
def main():
form = SymbolSearch(csrf_enabled=False)
if request.method == 'POST' and form.validate():
return redirect(url_for('results', symbol=request.form['symbol'],
trend1=request.form['trend1'],
trend2=request.form['trend2']))
return render_template('selection.html', form=form)
@app.route("/symbol/<symbol>+<trend1>+<trend2>")
def results(symbol, trend1, trend2):
data = web.DataReader(symbol, data_source='yahoo')
data['Trend 1'] = pd.rolling_mean(data['Adj Close'], window=int(trend1))
data['Trend 2'] = pd.rolling_mean(data['Adj Close'], window=int(trend2))
data[['Adj Close', 'Trend 1', 'Trend 2']].plot()
output = 'results.png'
plt.savefig('static/' + output)
table = data.tail().to_html()
return render_template('results.html', symbol=symbol,
output=output, table=table)
if __name__ == '__main__':
app.run(debug=True)
The download link for this Python script.
We need a simple WTF form for data input (download link)
#
# Data input form
# forms.py
#
from wtforms import TextField
from wtforms.fields import SubmitField
from wtforms.validators import DataRequired
from flask.ext.wtf import Form
class SymbolSearch(Form):
symbol = TextField('Symbol (eg AAPL, MSFT)',
validators=[DataRequired()])
trend1 = TextField('Trend 1 (eg 20, 42)',
validators=[DataRequired()])
trend2 = TextField('Trend 2 (eg 100, 252)',
validators=[DataRequired()])
submit = SubmitField()
The major layout template (download link:

<!doctype html>
<title>Historical Stock Prices</title>

<link rel=stylesheet type=text/css
href="{{ url_for('static', filename='style.css') }}">
<link href='http://fonts.googleapis.com/css?family=PT+Sans'
rel='stylesheet' type='text/css'>
<link rel="shortcut icon"
href="http://hilpisch.com/favicon.ico">

back to search

{% block body %}
{% endblock %}

The sub-template for the data input (download link):

{% extends "layout.html" %}
{% macro render_field(field) %}

{{ field.label }}

{{ field(**kwargs)|safe }}
{% if field.errors %}

{% for error in field.errors %}

{{ error }}

{% endfor %}

{% endif %}

{% endmacro %}
{% block body %}

<form action="{{ url_for('main') }}" method=post
enctype="multipart/form-data">

Search for a Ticker Symbol

Data will be retrieved from Yahoo! Finance.
Make sure to use a valid ticker symbol.

{{ render_field( form.symbol ) }}

{{ render_field( form.trend1 ) }}

{{ render_field( form.trend2 ) }}

{{ render_field( form.submit ) }}

</form>

{% endblock %}
And the sub-template for the results output (download link):

{% extends "layout.html" %}
{% block body %}

Results for Symbol {{ symbol }}

{{ table | safe }}
{% endblock %}
Also, a bit of CSS styling (download link)
/* style.css */
body { font-family: 'PT Sans', sans-serif; background: #eee; }
a, h1, h2 { color: #021A80; }
h1, h2 { font-family: 'PT Sans', sans-serif; margin: 0; text-align: center;}
h1 { font-size: 1.4em; border-bottom: 2px solid #eee; }
h2 { font-size: 1.0em; }
a:link { color: #B40404; text-decoration:none; }
a:visited { color: #B40404; text-decoration:none; }
.dataframe { margin-left: auto; margin-right: auto;}
.page { font-family: 'PT Sans', sans-serif; margin: 2em auto; width: 66em;
padding: 0.8em; background: white; color: #021A80}
.metanav { text-align: right; font-size: 1em; padding: 0.3em;
margin-bottom: 1em; background: #fafafa; }
.logo img { width: 30%; display: block; margin-right: auto;
margin-left: auto; }
.errors { font-size: 0.8em; color: red;}
.form {text-align: center;}
Finally, the Tornado WSGI wrapper for the app (download link):
#
# WSGI Wrapper for the
# Historical Stock Data App
#
# run_stock_app.py
#
from tornado.wsgi import WSGIContainer
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from stock_data import app
http_server = HTTPServer(WSGIContainer(app))
http_server.listen(8888) # serving on port 8888
IOLoop.instance().start()
All these files should be placed in the following folder structure:
In [1]: import os
In [2]: for path, dirs, files in os.walk('./source/stock_app'):
...: print path
...: for f in files:
...: print f
...:
./source/stock_app
forms.py
forms.pyc
run_stock_app.py
stock_data.py
stock_data.pyc
./source/stock_app/static
results.png
style.css
./source/stock_app/templates
layout.html
results.html
selection.html
When the working directory is stock_app, the following command then runs the Web app:
python run_stock_app.py
You should now be able to access the Web application via (cf. Fixed IP Address):
http://xx.yy.zz.100:8888
or:
http://rpi.mydomain.net:8888
The starting/main page for the data input might then look like (here the app is run locally):
The results output page looks like this:
Modern Web applications generally rely on nicely rendered, interactive graphics. The following example slightly adjusts the previous one to accomplish exaclty that. The main tool used here is plotly (cf. http://plot.ly), a graphics engine that allows to easily transform static Python/matplotlib plots into interactive D3.js plots (http://d3js.org/) or to directly generate such plots from Python.
You need to install plotly as follows:
sudo pip install plotly
You also need to create an account on the Web site http://plot.ly.
The major changes have be made in the main application module (download link):
#
# Historical Stock Prices
# with the RPi using Python & Flask & Plotly
#
# stock_interactive.py
#
# (c) Dr. Yves J. Hilpisch
# The Python Quants
#
import pandas as pd
import pandas.io.data as web
import matplotlib.pyplot as plt
import plotly.plotly as ply
from plotly.graph_objs import Figure, Layout, XAxis, YAxis
from flask import Flask, request, render_template, redirect, url_for
from forms import SymbolSearch
#
# Needed for plotly usage
#
ply.sign_in('yves', 'token')
def df_to_plotly(df):
'''
Converting a pandas DataFrame to plotly compatible format.
'''
if df.index.__class__.__name__=="DatetimeIndex":
x = df.index.format()
else:
x = df.index.values
lines = {}
for key in df:
lines[key] = {}
lines[key]['x'] = x
lines[key]['y'] = df[key].values
lines[key]['name'] = key
lines_plotly = [lines[key] for key in df]
return lines_plotly
#
# Main app
#
app = Flask(__name__)
@app.route("/", methods=['GET', 'POST'])
def main():
form = SymbolSearch(csrf_enabled=False)
if request.method == 'POST' and form.validate():
return redirect(url_for('results', symbol=request.form['symbol'],
trend1=request.form['trend1'],
trend2=request.form['trend2']))
return render_template('selection.html', form=form)
@app.route("/symbol/<symbol>+<trend1>+<trend2>")
def results(symbol, trend1, trend2):
data = web.DataReader(symbol, data_source='yahoo')
data['Trend 1'] = pd.rolling_mean(data['Adj Close'], window=int(trend1))
data['Trend 2'] = pd.rolling_mean(data['Adj Close'], window=int(trend2))
layout = Layout(
xaxis=XAxis(showgrid=True, gridcolor='#bdbdbd', gridwidth=2),
yaxis=YAxis(showgrid=True, gridcolor='#bdbdbd', gridwidth=2)
)
fig = Figure(data=df_to_plotly(data[['Adj Close', 'Trend 1', 'Trend 2']]),
layout=layout)
plot = ply.plot(fig, auto_open=False)
table = data.tail().to_html()
return render_template('plotly.html', symbol=symbol,
plot=plot, table=table)
if __name__ == '__main__':
app.run(debug=True)
We also need to adjust the results output template file (download link):

{% extends "layout.html" %}
{% block body %}

Results for Symbol {{ symbol }}

{{ table | safe }}
{% endblock %}
Also, the WSGI wrapping is to be adjusted slightly (download link):
#
# WSGI Wrapper for the
# Historical Stock Data App (Interactive)
#
# run_stock_int.py
#
from tornado.wsgi import WSGIContainer
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from stock_interactive import app
http_server = HTTPServer(WSGIContainer(app))
http_server.listen(8888) # serving on port 8888
IOLoop.instance().start()
Everything else remains the same. Your folder structure should now look like follows:
In [3]: for path, dirs, files in os.walk('./source/stock_int'):
...: print path
...: for f in files:
...: print f
...:
./source/stock_int
forms.py
forms.pyc
run_stock_int.py
stock_interactive.py
./source/stock_int/static
style.css
./source/stock_int/templates
layout.html
plotly.html
selection.html
If everything runs as desired, the results page of the interactive version should look like below (here the app runs locally):


The mouse cursor can be set to one of the operating system cursors, a custom image, or hidden completely. The change to the cursor will be applicable only to the window you make the change to. To hide the mouse cursor, call Window.set_mouse_visible:
window = pyglet.window.Window() window.set_mouse_visible(False)
This can be useful if the mouse would obscure text that the user is typing. If you are hiding the mouse cursor for use in a game environment, consider making the mouse exclusive instead; see Mouse exclusivity, below.
Use Window.set_mouse_cursor to change the appearance of the mouse cursor. A mouse cursor is an instance of MouseCursor. You can obtain the operating system-defined cursors with Window.get_system_mouse_cursor:
cursor = window.get_system_mouse_cursor(win.CURSOR_HELP) window.set_mouse_cursor(cursor)
The cursors that pyglet defines are listed below, along with their typical appearance on Windows and Mac OS X. The pointer image on Linux is dependent on the window manager.
Alternatively, you can use your own image as the mouse cursor. Use pyglet.image.load to load the image, then create an ImageMouseCursor with the image and "hot-spot" of the cursor. The hot-spot is the point of the image that corresponds to the actual pointer location on screen, for example, the point of the arrow:
image = pyglet.image.load('cursor.png')
cursor = pyglet.window.ImageMouseCursor(image, 16, 8)
window.set_mouse_cursor(cursor)
You can even render a mouse cursor directly with OpenGL. You could draw a 3-dimensional cursor, or a particle trail, for example. To do this, subclass MouseCursor and implement your own draw method. The draw method will be called with the default pyglet window projection, even if you are using another projection in the rest of your application.


if
The semantics of the program is preserved. This action can be useful as an intermediate step in complex refactorings.


Bold Text Strong Text Underlined Text Italic Text This is sub text example The result of 22 = 4 This is deleted text This is smaller text Don't forget to buy milk today


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{% extends 'layout.html' %} {% set pageHeading = "Terms and conditions" %} {% block pageTitle %} {{pageHeading}} | {{serviceName}} {% endblock %} {% block beforeContent %} {% endblock %} {% block content %}
Terms and conditions are currently not available. You can phone 119 or visit the FAQs for more information.


Test Creating Owner
|
| store |
javascript{Math.floor(Math.random()*100000)} |
unique |
| store |
BobbyBrown |
owner_name |
| store |
${owner_name}-${unique} |
owner_name |
| open |
/ |
|
| assertTitle |
Horse Show Registration |
|
| click |
link=Create New |
|
| waitForTextPresent |
Create Owner |
|
| type |
owner_name |
${owner_name} |
| type |
owner_street1 |
10 Maple Street |
| type |
owner_city |
Smallville |
| type |
owner_city |
Charlottesville |
| type |
owner_state |
VA |
| type |
owner_zip |
22903 |
| type |
owner_phone |
434-466-1467 |
| type |
owner_email |
<EMAIL_ADDRESS>|
| type |
owner_stable |
Brown Stables |
| type |
owner_amount_paid |
10 |
| click |
owner_payment_type_id |
|
| select |
owner_payment_type_id |
label=Check |
| click |
//option[@value='2'] |
|
| click |
owner_check_number |
|
| type |
owner_check_number |
056 |
| click |
commit |
|
| waitForTextNotPresent |
Create Owner |
|
| open |
/selenium_tester/owner_name_to_id/${owner_name} |
Edit |
| storeValue |
owner_id |
owner_id |
| open |
/ |
|
| answerOnNextPrompt |
true |
|
| click |
//a[@id='owner_delete_${owner_id}'] |
|
| waitForTextNotPresent |
${owner_name} |
|
| assertTextNotPresent |
${owner_name} |
|


Can police set up temporary pedestrian crossing when needed?
Pedestrian safety
Is temporary crossing possible?
Recently, in the dark, my bus let me off on Broadway by the YWCA. There was a police crime scene across the street and about 11 police vehicles all along Broadway. Since the crosswalk at the light was not an option, I went a block away to cross. This was worrisome, due to my knowledge of two church members hit on Broadway, one in the dark early morning hours, and another at a light!
I want the police to provide a temporary crosswalk across Broadway and any other four- to six-lane street when the normal crosswalk at a light is barred due to police activity. People are distracted from safe driving when the police are present, and it is risky to cross, but I had no other way to get home!
Rosemarie Dickson Cook
Everett


-
Black Market Takes Over the iPhone 6 Lines
www.youtube.com
Some thoughts from me (the guy who made this movie). I am a big tech nerd. I slept on the streets to get the very first iPhone, when I was a teenager ...
-
Startup Podcast
hearstartup.com
A series about what happens when someone who knows nothing about business starts one. With Alex Blumberg from This American Life & Planet Money.
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The Trouble With Harvard
www.newrepublic.com
The Ivy League is broken and only standardized tests can fix it.
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Who's In The Office? The American Workday In One Graph
www.npr.org
What is the typical American workday? We take a look at how working hours change according to job type.
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M6.0 - 6km NW of American Canyon, California (BETA) 2014-08-24 10:20:44 UTC
comcat.cr.usgs.gov
USGS Earthquake Hazards Program, responsible for monitoring, reporting, and researching earthquakes and earthquake hazards
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The Time I Spent On A Commercial Whaling Ship Totally Changed My ...
www.clickhole.com
CHAPTER 1. Loomings.Call me Ishmael. Some years ago—never mind how long precisely—having little or no money in my purse, and nothing particular to ...
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TWiT Live: Netcasts you love, from people you trust
live.twit.tv
You require Adobe Flash Player to watch TWiT Live.


No, vegetarians do not eat fish!
The sad state of knowledge in your typical restaurant
6 September 2013 | 27 April 2018
braindump vegetarianOriginally posted on Medium.
 You can almost hear them thinking “that’s what I meant”.

“Oh, right right, sorry!”.
It must have been the fourth conversation with somebody, where I have to explain what “being a vegetarian” actually means. Not that I get upset by that, it’s fine if somebody who doesn’t have a lot of knowledge on that matter asks about it. Two things can happen after that.
One — the person accepts my choice and carries on.
Two — the person starts misbehaving (I have written the word “dick” here but don’t really know what is appropriate to use).
“Stop trying to save the world dude, you simply can’t by yourself!”
“But the spareribs are very good, try some, haha!”
“Ohmygosh you’ll have a lot of problems with vitamins and stuff!”
…
Even most vegetarian cookbooks include a section about nutrition and diet, where it also gives the reader some advice on how to counter such silliness.  And I’m not even a vegan.
The professionals
It’s not that hard to see something like that coming — most people who eat to eat (Filling instead of Feeding) and who aren’t really interested in the subject of food in general will act like that. But people who work in the catering sector should know better. I expect every single restaurant to offer at least one vegetarian option (sorry vegans, you’re fucked, as always. Enjoy the sauce, wanna bet it contains milk? sigh). And most places I’ve visited luckily do. There are some really great vegetarian restaurants, but there are also very good steakhouses which offer a lot of decent vegetarian dishes.
Last week, we went to an Italian restaurant for my birthday. It’s actually also an Hotel, quite posh, nicely decorated, you know what I’m talking about. And I thought “hey, it’s Italian” — surely they do offer some vegetarian dishes, right? Like… Pizza’s? Pasta’s? Sure. Well guess again. Nothing on the menu. Okay, so I ask a waiter.
“Well, we do have a pasta with scampi” — she looks at me and waits for my nod to quickly write the order down. I frown. She blinks and starts to get impatient.
“I’m sorry but fish is not vegetarian. Is it possible to get the lasagne without ham?”
She starts clicking with her pen. “No.”
“What do you mean, no? Do you have a pasta with vegetables?”
“No.”
Urgh. I really, really hate that. Especially because my grandparents came along and they don’t approve of my choice of being vegetarian — they simply don’t get it.  Thank you very much, Italian restaurant, just what I needed.
In the end, I managed to get a simple boiled spaghetti with some baked vegetables and olive oil. For 15 EUR. Can’t be bad, I hear you thinking. It wasn’t, but it wasn’t good either. It was bland and I was upset.
I expect people who serve other people dinner to know what it means to be a vegetarian or vegan or whatever you like or dislike, especially in a place like that. I can hardly believe I was the very first person in that place to ask something stupid like that.
I know this story might sound weird if you live in an area where vegetarianism is more accepted — I thought it was here too. There’s still a lot of work to do on educating people and spreading the message that it’s okay to eat whatever the hell you want to, even if it’s not the same as what your parents or great-grandparents ate and even if it’s not according to tradition. I live my own life and decide myself what goes down my stomach, thank you very much.


PlayStation South Africa unveils Black Friday 2019 deals
by Bradley PriorPlayStation South Africa has unveiled its Black Friday and Cyber Monday deals for 2019.
These deals will be available from 27 November until 2 December 2019 and include discounts on consoles, games, controllers, and VR equipment.
“Whether it’s for existing fans who are looking to pick up another game or controller, or for newcomers who are looking to join the PlayStation family, or the world of VR, we’ve got you covered,” said PlayStation.
Prospective buyers will be able to purchase these deals from various popular local stores including BT Games, Dion Wired, Game, Hi-Fi Corporation Incredible Connection, Loot, Makro, Raru, and Takealot.
These deals include the following:
Console bundles
- PS4 500GB Mega Pack 5 and Ratchet and Clank – R4,499.99
- PS4 1TB and Dualshock 4 controller and FIFA 20 – R5,999.99
- PlayStation 4 Pro and Dualshock 4 controller and God of War and Last of Us – R6,999.99
Controller deals
- Dualshock 4 Controller (Black) and FIFA 20 – R1,499.99
- Dualshock 4 Controller (Black) and Fortnite (includes 500 V-Bucks) – R699.99
- Dualshock 4 Controller – R699.99
VR
- PlayStation VR and Camera and VR Worlds – R3,499.99
Games
- Marvel’s Spider-Man – R299.99
- Marvel’s Spider-Man Game of the Year Edition– R599.99
- Days Gone – R499.99
- eFootball PES 2020 – R599.99
- eFootball PES 2020 (Manchester United Edition) – R599.99
- Mortal Kombat 11 – R399.99
- Rage 2 – R499.99
- WRC 8 – R599.99


Matthew Southcott
Electrical and Mechanical Engineering Officer in the Canadian Armed Forces with experience working in maintenance management, project and operations roles across Canada.
Interested in artificial intelligence, data science and full stack development for applications in defence, fleet maintenance and logistics.
(587) 281-2667


@* * Copyright 2019 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.AppConfig @import models.Declaration @(declaration: Declaration)(implicit req: Request[_], messages: Messages, cfg: AppConfig) @main_template(title = messages("confirmationpage.titleAndHeading")) {
@messages("confirmationpage.yourLRN")
@{declaration.localReferenceNumber.getOrElse(messages("lrn.missing"))}
@messages("confirmationpage.p.part1") @messages("confirmationpage.p.part2") @messages("confirmationpage.p.part3")
}


KeyboardInkey()
Syntax
String$ = KeyboardInkey()Description
Returns the last typed character, very useful when keyboard input is required within a gaming application, such as the name in highscore, in game console, etc.).
Parameters
None.
Return value
The last typed character.
Example
If InitSprite() And InitKeyboard() And OpenScreen(800, 600, 32, "") Repeat FlipBuffers() ClearScreen(RGB(0, 0, 0)) ExamineKeyboard() ; If we press the 'Back' key, we will delete the last character ; If KeyboardReleased(#PB_Key_Back) FullText$ = Left(FullText$, Len(FullText$)-1) Else result$=KeyboardInkey() If FindString("1234567890 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz", result$) ; Or your chosen valid characters FullText$ + result$ EndIf ; Add the new text to the current one (if any) EndIf ; Display the result ; If StartDrawing(ScreenOutput()) DrawingMode(1) FrontColor(RGB(128, 255, 0)) DrawText(20, 20, "Just type some text...:") DrawText(20, 40, FullText$) StopDrawing() EndIf Until KeyboardPushed(#PB_Key_Escape) EndIf
See Also
ExamineKeyboard()
Supported OS
All


PFL finalist Daniel Pineda reacts to positive drug test — ‘No steroids were found in my system’
by Jesse HollandProfessional Fighters League (PFL) featherweight finalist, Daniel Pineda, was one fight away from being worth $1 million. Unfortunately, he’s now one drug test away from being worth $0, thanks to Nevada State Athletic Commission.
 “For the record no ‘steroids’ or drugs were found in my system!”
Pineda (28-13) is scheduled to face Lance Palmer in the PFL finals on New Year’s Eve in New York; however, the New York State Athletic Commission (NYSAC) is unlikely to license “The Pit” unless he first clears his name with NSAC.
Pineda, 34, competed twice under NSAC for the PFL playoffs in October.
“Right now we’re in the process of researching what could have led to a positive test,” manager Jason House told MMA Junkie. “We plan on appealing the decision once all information is gathered.”
No comment was available from either Palmer or PFL reps at the time of this writing.


#include <lmdes.h>
Data Fields | |
| int | id |
| char * | asm_name |
| int | alt_flags |
| mdes_operation_st * | operation |
| Mdes_IO_Item * | IO_item |
| Mdes_ResList * | reslist |
| Mdes_Latency * | latency |
| SM_Table * | table |
Definition at line 148 of file lmdes.h.
Definition at line 152 of file lmdes.h.
Referenced by alt_flag_set(), any_alt_flag_set(), load_lmdes(), load_lmdes_from_version2(), and print_mdes().
| char* mdes_alt_st::asm_name |
Definition at line 151 of file lmdes.h.
Referenced by load_lmdes(), load_lmdes_from_version2(), and print_mdes().
| int mdes_alt_st::id |
Definition at line 154 of file lmdes.h.
Referenced by load_lmdes(), load_lmdes_from_version2(), and print_mdes().
Definition at line 156 of file lmdes.h.
Referenced by load_lmdes(), load_lmdes_from_version2(), max_operand_time(), mdes_calc_min_ready_time(), mdes_max_completion_time(), mdes_operand_latency(), min_operand_time(), and print_mdes().
Definition at line 155 of file lmdes.h.
Referenced by load_lmdes(), load_lmdes_from_version2(), and print_mdes().
| struct SM_Table* mdes_alt_st::table |


--- title: neos keywords: fastai sidebar: home_sidebar summary: "nice end-to-end optimized statistics ;)" ---
{% include image.html alt="logo" align="middle" max-width="200" file="/neos/neos_logo.png" %}
To use neos
right now, you have to seperately install the fax
library for fixed-point differentiation:
pip install git+https://github.com/gehring/fax.git
Then just run
pip install neos
import jax
import neos.makers as makers
import neos.cls as cls
import numpy as np
import jax.experimental.stax as stax
import jax.experimental.optimizers as optimizers
import jax.random
import time
jax.experimental.stax
¶init_random_params, predict = stax.serial(
stax.Dense(1024),
stax.Relu,
stax.Dense(1024),
stax.Relu,
stax.Dense(2),
stax.Softmax,
)
neos
:¶The way we initialise in neos
is to define functions that make a statistical model from histograms, which in turn are themselves made from a predictive model, such as a neural network. Here's some detail on the unctions used below:
hists_from_nn_three_blobs(predict)
uses the nn decision function predict
defined in the cell above to form histograms from signal and background data, all drawn from multivariate normal distributions with different means. Two background distributions are sampled from, which is meant to mimic the situation in particle physics where one has a 'nominal' prediction for a nuisance parameter and then an alternate value (e.g. from varying up/down by one standard deviation), which then modifies the background pdf. Here, we take that effect to be a shift of the mean of the distribution. The value for the background histogram is then the mean of the resulting counts of the two modes, and the uncertainty can be quantified through the count standard deviation.nn_hepdata_like(hmaker)
uses hmaker
to construct histograms, then feeds them into the neos.models.hepdata_like
function that constructs a pyhf-like model. This can then be used to call things like logpdf
and expected_data
downstream.cls_maker
takes a model-making function as it's primary argument, which is fed into functions from neos.fit
that minimise the logpdf
of the model in both a constrained (fixed parameter of interest) and a global way. Moreover, these fits are wrapped in a function that allows us to calculate gradients through the fits using fixed-point differentiation. This allows for the calculation of both the profile likelihood and its gradient, and then the same for cls :)All three of these methods return functions. in particular, cls_maker
returns a function that differentiably calculates cls values, which is our desired objective to minimise.
hmaker = makers.hists_from_nn_three_blobs(predict)
nnm = makers.nn_hepdata_like(hmaker)
loss = cls.cls_maker(nnm, solver_kwargs=dict(pdf_transform=True))
_, network = init_random_params(jax.random.PRNGKey(2), (-1, 2))
opt_init, opt_update, opt_params = optimizers.adam(1e-3)
def update_and_value(i, opt_state, mu):
net = opt_params(opt_state)
value, grad = jax.value_and_grad(loss)(net, mu)
return opt_update(i, grad, opt_state), value, net
def train_network(N):
cls_vals = []
_, network = init_random_params(jax.random.PRNGKey(1), (-1, 2))
state = opt_init(network)
losses = []
for i in range(N):
start_time = time.time()
state, value, network = update_and_value(i,state,1.0)
epoch_time = time.time() - start_time
losses.append(value)
metrics = {"loss": losses}
yield network, metrics, epoch_time
maxN = 20 # make me bigger for better results!
# Training
for i, (network, metrics, epoch_time) in enumerate(train_network(maxN)):
print(f"epoch {i}:", f'CLs = {metrics["loss"][-1]}, took {epoch_time}s')
And there we go!! We discovered a new signal (depending on your arbitrary thershold) ;)
If you want to reproduce the full animation, a version of this code with plotting helpers can be found in demo_training.ipynb
! :D


Welcome on Crypto Shopify Plugin
With this tool you can accept Lyra Shopify store.
Now we're simulating that you pasted the required code in your shopify website.


Injection Every process starts when the operating system transfers control from kernel mode to user mode by calling ntdll!LdrInitializeThunk. From this moment ntdll is responsible for initializing the process (initializing globals, loading imports, etc.) and eventually transferring control to the executed program’s main function.
The process is in such an infant stage that the only loaded modules are ntdll.dll and the executable (NS.exe).
Ntdll doesn’t waste time and starts initializing the process, when most of the initialization happens in ntdll!LdrpInitializeProcess.
Normally the first DLL that would be loaded would be kernel32.dll.
But if Application Verifier is on, ntdll!LdrpInitializeProcess calls ntdll!AVrfInitializeVerifier which causes our verifier provider DLL to get loaded just before loading kernel32.
Loading at such an early stage, before any other system dll, gives us absolute control over the process.
Once our DLL has been loaded by ntdll, our DllMain would be called and we are free to do as we wish inside the victim process.
static BOOL main_DllMainProcessAttach(VOID)
{
DOUBLEAGENT_STATUS eStatus = DOUBLEAGENT_STATUS_INVALID_VALUE;
/*
**************************************************************************
Enter Your Code Here
**************************************************************************
*/
/* Succeeded */
DOUBLEAGENT_SET(eStatus, DOUBLEAGENT_STATUS_SUCCESS);
/* Returns status */
return FALSE != DOUBLEAGENT_SUCCESS(eStatus);
}


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