Module: SSO
- Defined in:
- /build/mts/release/bora-4571906/vcsuite-sdks/ruby/samples/lib/sso.rb
Overview
A little utility library for VMware SSO. For now, this is not a general purpose library that covers all the interfaces of the SSO service. Specifically, the support is limited to the following:
request bearer token.
Defined Under Namespace
Classes: Connection, RequestSecurityToken, SamlToken, SoapInvocable
Constant Summary
- DATE_FORMAT =
The XML date format.
"%FT%T.%LZ"
- NAMESPACES =
The XML namespaces that are required: SOAP, WSDL, et al.
{ "xmlns:S" => "http://schemas.xmlsoap.org/soap/envelope/", "xmlns:wst" => "http://docs.oasis-open.org/ws-sx/ws-trust/200512", "xmlns:u" => "http://docs.oasis-open.org/wss/2004/01/oasis-200401-wss-wssecurity-utility-1.0.xsd", "xmlns:x" => "http://docs.oasis-open.org/wss/2004/01/oasis-200401-wss-wssecurity-secext-1.0.xsd", }


2012 OPUS HONOR CHOIR RESULTS
North Iowa MS. Samuel . North Iowa Elem. . Jason. Wells. B. 9th Mixed Choir. Huth. Matt. Waukee HS. Zachary. Smith. B . Spirit Lake HS. Lauren. Wickham. S - alternate. 9th Mixed Choir. Ites. Sally Jo. Spirit Lake MS . Shoemaker. A; A 3- .
http://www.iowachoral.org/opus/2012/Opus%202012%20RESULTS.pdf
Member Web Sites - APRSWXNET members
ar417, KJ4I, Hamilton, AL, US, Jason Rawls's Web Site. ar421, DB9AZ-10 . as942, WB0WOE, Spirit Lake, IA, US, Mike Ehret's Web Site . CW8363, CW8363, Surfside Beach, SC, US, Scott Shoemaker's Web Site · Web Cam. CW8441 .
http://wxqa.com/webpages.html
Early History of Milford & Other Parts of Otsego County by Ezra ...
came to Milford prior to 1800 & was one of the pioneer settlers. Purchased of . James, Jason, and Nelson, the writer is unable to state whom they married. Mr. Ray . Zina, the second son, was a lawyer in Iowa. Benoni . Mr. Cornrike was a shoemaker of experience which was just what the people in that vicinity required.
http://theusgenweb.org/ny/otsego/histories/histmil2.htm
Okoboji High School, Milford, Iowa(IA)
Find 668 alumni members from Okoboji High School in Milford, IA. Reconnect with friends and fellow graduates on Memory Lane.
http://www.classmates.com/places/school/Okoboji-High-School/41994
SMSU Today | SMSU Announces Spring Semester Dean's Lists
May 29, 2012 . Ruthton-Jason Minett. Sanborn-Kendall Jensen . Marshalltown, Iowa-Kelly Fitzgerald, John Kersbergen. Rock Rapids, Iowa-Alyssa . Sioux City, Iowa- Dylan Shoemaker. Spirit Lake, Iowa-Courtney Watkins. Dunlap, Ill.-Levi .
https://www.smsu.edu/today/?articleid=2423
Div 4-5 - USA Wrestling CT
Jan 24, 2013 . New Milford. 68.4 . Iowa Style WC. 99.4. 5 Bye. 103.4 . 2 Jason Spaulding. Wilton . 5 Jason Shoemaker. RHAM . 1 Jason Martinez. Norwalk .
http://www.usawct.org/results/2012-2013/Warrior_Youth_Divisions4-5_Full.pdf


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Start with some CSS (~ 1 hour)
- First, please start by cleaning your desk. You can access it by clicking on the "Secret Book" link in the navbar. Carefully follow the instructions below. You can also look at the screenshots folder within the image folder of this project. It contains the desk configurations for all the screen sizes, as described in the following points.
- At the beginning, only focus on a resolution >1200px.
You have to put your whisky glass on the left and your ink pen on the right of your desk, with
your
secret book in the center.
(The whisky and ink pen images are already in the HTML. You have to use flexbox and respect
the alignment
of each element).
Do not hesitate to create html containers and customize the given stylesheet book.css. - Here we go! Your desk is now a little smaller. Between 1100px and 1200px, the ink pen should disappear.
- A little thirst after all this work? Using your DOM manipulation knowledge you will have to display an empty glass when you click on the whisky glass. The image of empty glass is available here: image/empty_whisky.png
- When your desk is smaller (between 800px and 1000px), the glass will also disappear.
- Finally for a desk <800px, the left page of the notebook should appear below the right page.


4. Command Reference.¶
-
Axicon
()¶ Fout = Axicon(phi, n1, x_shift, y_shift, Fin)
Propagates the field through an axicon.
Args:
phi: top angle of the axicon in radians n1: refractive index of the axicon material x_shift, y_shift: shift from the center Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
BeamMix
()¶ Fout = BeamMix(F1, F2)
Addition of the fields F1 and F2.
Args:
F1, F2: input fields
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
Begin
()¶ F = Begin(GridSize, Wavelength, N)
Creates a plane wave (phase = 0.0, amplitude = 1.0).
Args:
GridSize: size of the grid Wavelength: wavelength of the field N: N x N grid points (N must be even)
Returns:
F: N x N square array of complex numbers (1+0j).
Example:
-
CircAperture
()¶ Fout = CircAperture(R, x_shift, y_shift, Fin)
Propagates the field through a circular aperture.
Args:
R: radius of the aperture x_shift, y_shift: shift from the center Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
CircScreen
()¶ Fout = CircScreen(R, x_shift, y_shift, Fin)
Diffracts the field by a circular screen.
Args:
R: radius of the screen x_shift, y_shift: shift from the center Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
Convert
()¶ Fout = Convert(Fin)
Converts the field from a spherical variable coordinate to a normal coordinate system.
Args:
Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
Forward
()¶ Fout = Forward(z, sizenew, Nnew, Fin)
Propagates the field using direct integration.
Args:
z: propagation distance Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
Forvard
()¶ Fout = Forvard(z, Fin)
Propagates the field using a FFT algorithm.
Args:
z: propagation distance Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
Fresnel
()¶ Fout = Fresnel(z, Fin)
Propagates the field using a convolution method.
Args:
z: propagation distance Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
Gain
()¶ Fout = Gain(Isat, alpha0, Lgain, Fin)
Propagates the field through a thin saturable gain sheet.
\(F_{out}(x,y) = F_{in}(x,y) e^{\alpha L_{gain}}\), with \(\alpha = \dfrac{\alpha_0}{1 + {2 I(x,y)}/{I_{sat}}}\).
\(2\alpha L_{gain}\) is the net round-trip intensity gain. \(\alpha_0\) is the small-signal intensity gain and \(I_{sat}\) is the saturation intensity of the gain medium with a length \(L_{gain}\).
The intensity must be doubled because of the left- and right propagating fields in a normal resonator. (If only one field is propagating in one direction (ring laser) you should double \(I_{sat}\) as well to remove the factor 2 in the denominator).
The gain sheet should be at one of the mirrors of a (un)stable laser resonator.
See: Rensch and Chester (1973).
Args:
Isat: saturation intensity alpha0: small signal gain Lgain: length of the gain sheet Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
GaussAperture
()¶ Fout = GaussAperture(w, x_shift, y_shift, T, Fin)
Inserts an aperture with a Gaussian shape in the field.
\(F_{out}(x,y)= \sqrt{T}e^{ -\frac{ x^{2}+y^{2} }{2w^{2}} } F_{in}(x,y)\)
Args:
w: 1/e intensity width x_shift, y_shift: shift from center T: center intensity transmission Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
GaussScreen
()¶ Fout = GaussScreen(w, x_shift, y_shift, T, Fin)
Inserts a screen with a Gaussian shape in the field.
\(F_{out}(x,y)= \sqrt{1-(1-T)e^{ -\frac{ x^{2}+y^{2} }{w^{2}} }} F_{in}(x,y)\)
Args:
w: 1/e intensity width x_shift, y_shift: shift from center T: center intensity transmission Fin: input field Returns:: Fout: output field (N x N square array of complex numbers).
-
GaussHermite
()¶ Fout = GaussHermite(m, n, A, w0, Fin)
Substitutes a Gauss-Hermite mode (beam waist) in the field.
\(F_{m,n}(x,y,z=0) = A H_m\left(\dfrac{\sqrt{2}x}{w_0}\right)H_n\left(\dfrac{\sqrt{2}y}{w_0}\right)e^{-\frac{x^2+y^2}{w_0^2}}\)
Args:
m, n: mode indices A: Amplitude w0: Guaussian spot size parameter in the beam waist (1/e amplitude point) Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Reference:
A. Siegman, "Lasers", p. 642
-
GaussLaguerre
()¶ Fout = GaussLaguerre(p, m, A, w0, Fin)
Substitutes a Gauss-Laguerre mode (beam waist) in the field.
\(F_{p,m}(x,y,z=0) = A \left(\frac{\rho}{2}\right)^{\frac{|m|}{2} }L^p_m\left(\rho\right)e^{-\frac{\rho}{2}}\cos(m\theta)\),
with \(\rho=\frac{2(x^2+y^2)}{w_0^2}\)
Args:
p, m: mode indices A: Amplitude w0: Guaussian spot size parameter in the beam waist (1/e amplitude point) Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Reference:
A. Siegman, "Lasers", p. 642
-
IntAttenuator
()¶ Fout = IntAttenuator(att, Fin)
Attenuates the intensity of the field.
\(F_{out}(x,y)=\sqrt{att}F_{in}(x,y)\)
Args:
att: intensity attenuation factor Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
Intensity
()¶ I=Intensity(flag,Fin)
Calculates the intensity of the field.
\(I(x,y)=F_{in}(x,y).F_{in}(x,y)^*\)
Args:
flag: 0= no normalization, 1=normalized to 1, 2=normalized to 255 (for bitmaps) Fin: input field
Returns:
I: intensity distribution (N x N square array of doubles)
-
Interpol
()¶ Fout = Interpol(NewSize, NewN, x_shift, y_shift, angle, magnif, Fin)
Interpolates the field to a new grid size, grid dimension.
Args:
NewSize: the new grid size NewN: the new grid dimension x_shift, y_shift: shift of the field angle: rotation of the field in degrees magnif: magnification of the field amplitude Fin: input field
Returns:
Fout: output field (Nnew x Nnew square array of complex numbers).
-
Lens
()¶ Fout = Lens(f, x_shift, y_shift, Fin)
Propagates the field through an ideal, thin lens.
It adds a phase given by: \(F_{out}(x,y)=e^{-j\frac{2\pi}{\lambda}\left(\frac{(x-x_{shift})^2+(y-y_{shift})^2}{2f}\right)}F_{in}(x,y)\)
Args:
f: focal length x_shift, y_shift: shift from center Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
LensForvard
()¶ Fout = LensForvard(f, z, Fin)
Propagates the field in a variable spherical coordinate system.
Args:
f: focal length z: propagation distance Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
LensFresnel
()¶ Fout = LensFresnel(f, z, Fin)
Propagates the field in a variable spherical coordinate system.
Args:
f: focal length z: propagation distance Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
Example:
-
MultIntensity
()¶ Fout = MultIntensity(Intens, Fin)
Multiplies the field with a given intensity distribution.
Args:
Intens: N x N square array of real numbers Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
MultPhase
()¶ Fout = MultPhase(Phase, Fin)
Multiplies the field with a given phase distribution.
Args:
Phase: N x N square array of real numbers Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
Normal
()¶ Fout = Normal(Fin)
Args:
Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
Phase
()¶ Phi=Phase(Fin)
Calculates the phase of the field.
Args:
Fin: input field
Returns:
Phi: phase distribution (N x N square array of doubles)
-
PhaseUnwrap
()¶ PhiOut=PhaseUnwrap(PhiIn)
Unwraps (removes jumps of pi radians) the phase.
Args:
PhiIn: input phase distribution
Returns:
PhiOut: unwrapped phase distribution (N x N square array of doubles)
-
PipFFT
()¶ Fout = PipFFT(index, Fin)
Performs a 2D Fourier transform of the field.
Args:
index: +1 = forward transform, -1 = back transform Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
Power
()¶ P = Power(Fin)
Args:
Fin: input field
Returns:
P: output power (real number).
-
RandomIntensity
()¶ Fout = RandomIntensity(seed, noise, Fin)
Adds random intensity to the field
Args:
seed: seed number for the random noise generator noise: level of the noise Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
RandomPhase
()¶ Fout = RandomPhase(seed, maxPhase, Fin)
Adds random phase to the field
Args:
seed: seed number for the random noise generator maxPhase: maximum phase in radians Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
RectAperture
()¶ Fout = RectAperture(w, h, x_shift, y_shift, angle, Fin)
Propagates the field through a rectangular aperture.
Args:
w: width of the aperture h: height of the aperture x_shift, y_shift: shift from the center angle: rotation angle in degrees Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
RectScreen
()¶ Fout = RectScreen(w, h, x_shift, y_shift, angle, Fin)
Diffracts the field by a rectangular screen.
Args:
w: width of the screen h: height of the screen x_shift, y_shift: shift from the center angle: rotation angle in degrees Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
Steps
()¶ Fout = Steps(z, nstep, refr, Fin)
Args:
z: propagation distance per step nstep: number of steps refr: refractive index (N x N array of complex numbers) Fin: input field
Returns:
Fout: ouput field (N x N square array of complex numbers).
Example:
-
Strehl
()¶ S = Strehl( Fin)
Calculates the Strehl value of the field
Args:
Fin: input field
Returns:
S: Strehl value (real number).
-
SubIntensity
()¶ Fout = SubIntensity(Intens, Fin)
Substitutes a given intensity distribution in the field with.
Args:
Intens: N x N square array of real numbers Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
SubPhase
()¶ Fout = SubPhase(Phase, Fin)
Substitutes a given phase distribution in the field with.
Args:
Phase: N x N square array of real numbers Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
Tilt
()¶ Fout = Tilt(tx, ty, Fin)
Args:
tx, ty: tilt in radians Fin: input field
Returns:
Fout: output field (N x N square array of complex numbers).
-
Zernike
()¶ Fout = Zernike(n, m, R, A, Fin)
Substitutes a Zernike aberration phase distribution in the field.
\(F_{out}(x,y)=e^{\phi^m_n (x,y)}F_{in}(x,y)\)
with:
\(\phi^m_n(x,y)=-j \frac{2 \pi }{ \lambda } Z^m_n {(\rho (x,y) ,\theta (x,y)) }\)
\(\rho(x,y)= \sqrt{ \frac{x^2+y^2}{R^2} }\)
\(\theta (x,y)=atan \big( \frac{y}{x} \big)\)
\(Z^m_n(\rho , \theta)=A \sqrt{ \frac{2(n+1)}{1+\delta_{m0}} } V^m_n(\rho)cos(m\theta)\)
\(Z^{-m}_n(\rho , \theta)=A \sqrt{ \frac{2(n+1)}{1+\delta_{m0}} }V^m_n(\rho)sin(m\theta)\)
\(V^m_n(\rho)= \sum_{s=0}^{ \frac{n-m}{2} } \frac{(-1)^s(n-s)!}{s!( \frac{n+m}{2}-s)!( \frac{n-m}{2}-s )! } \rho^{n-2s}\)
\(\delta_{m0}= \begin{cases}1 & m = 0\\0 & m \neq 0\end{cases}\)
Args:
n: radial order m: azimuthal order, n-|m| must be even, |m|<=n R: radius of the aberrated aperture A: size of the aberration Fin: input field
Returns:
Fout: ouput field (N x N square array of complex numbers).
Example:
Reference: https://en.wikipedia.org/wiki/Zernike_polynomials
-
noll_to_zern
()¶ Convert linear Noll index to tuple of Zernike indices. j is the linear Noll coordinate, n is the radial Zernike index and m is the azimuthal Zernike index. @param [in] j Zernike mode Noll index @return (n, m) tuple of Zernike indices @see <https://oeis.org/A176988>. Thanks to: Tim van Werkhoven, https://github.com/tvwerkhoven
-
ZernikeName
()¶
-
getGridSize
()¶ size_grid = getGridSize()
Returns the value of the size of the grid in meters.
Args:
-
Returns:
size_grid: Size of the grid (real number).
-
setGridSize
(newGridSize)¶ Changes the value of the grid size.
Args:
newGridSize: New size of the grid.
Returns:
-
-
getWavelength
()¶ wavelength = getWavelength()
Returns the value of the wavelength in meters.
Args:
-
Returns:
wavelength: Value of the wavelength (real number).
-
setWavelength
(newWavelength)¶ Changes the value of the wavelength.
Args:
newWavelength: New value of the wavelength.
Returns:
-
-
getGridDimension
()¶ grid-dimension = getGridDimension()
Returns the value of the grid dimension. The grid dimension cannot be set. Use: Interpol.
Args:
-
Returns:
grid-dimension: Value of the dimension of the grid (integer).
-
LPtest
()¶ Performs a test to check if the installation of the LightPipes package was successful.
Args:
-
Returns:
"LightPipes for Python: test passed." if successful, "Test failed" if not.
-
LPhelp
()¶ Go to the LightPipes documentation website on:
-
GaussBeam
()¶ F=GaussBeam(GridSize, Wavelength, N, w, tx,ty) Creates a Gaussian beam in its waist (phase = 0.0, amplitude = 1.0).
Args:
GridSize: size of the grid Wavelength: wavelength of the field N: N x N grid points (N must be even) w: size of the waist tx, ty: tilt of the beam
Returns:
F: N x N square array of complex numbers (1+0j).
Example:
-
PointSource
()¶ F=PointSource(GridSize, Wavelength, N, x, y) Creates a point source.
Args:
GridSize: size of the grid Wavelength: wavelength of the field N: N x N grid points (N must be even) x, y: position of the point source.
Returns:
F: N x N square array of complex numbers (0+0j, or 1+0j where the pointsorce is ).
Example:
-
LPdemo
()¶ Demonstrates the simulation of a two-holes interferometer.
Args:
-
Returns:
A plot of the interference pattern and a listing of the Python script.


What is PitStop?
PitStop is a delivery service that delivers anything from fast food to car parts. PitStop is dedicated to you and your needs, that's why nothing is too big or too small for PitStop to deliver.
Why Should I use PitStop?
PitStop has been created by people who care and want you to stay safe during these difficult times. We understand that you may be too busy or at risk to go out and shop..., and that's why we designed & created this service for people just like you.
Who are we?
We are 4 entrepreneurs who wanted to help those who may be too busy or at risk to go out and shop.


For the moment, take a look at the docs in the Read the Docs page or the GitHub repository.
You can also contact IFE directly (where the software is developed).


We run weekly workshops with the help of amazing local creators
Passionate Creators share their stories of success and failure.
Launch your startup at our pitch events
We run various coding workshops to help you improve your skills
Learn about new methods & gain new skills and techniques
We love big ideas. We want to help you become a better problem solver
We help you iterate, improve and provide friendly feedback
We aim to have an equal amount of ladies and gentlemen
Everyone is welcome. We believe in love and paying it forward
A space where your ideas
are developed, challenged
pivoted, implemented
and turned into action.
Design Thinking
Collaboration
Global Challenges
Passions
We inspire, connect
and help you achieve
amazing things...


[ref: ports(7), bsd.port.mk(5), packages-specs(7)]
The OpenBSD ports collection is a great tool for packaging/installing binaries without the need to know the intracacies of OpenBSD's layout nor the dependencies of applications.
You just need to 'make' it.
I put these notes together because although OpenBSD's manual pages are great, I was still confused (not surprisingly.)
The general documentation is available on the OpenBSD, FreeBSD sites as well as the above mentioned man pages.
Flavors allow you to specify features to be included into an application where the generic flavor is stated in your make command while the Makefile configures the appropriate compiler arguments.
To find out whether a port supports FLAVORS, use the following command
# env show="FLAVORS" make show
For example:
# cd /usr/ports/snort
snort #make show=FLAVORS
postgresql mysql smbalert flexresp
snort #env show=FLAVORS make show
postgresql mysql smbalert flexresp
snort #
The above example shows that snort can be generated with support for 4 additional features (postgresql support, mysql support, smbalert, flexresp)
Another example:
ports # cd /usr/ports/shells/
shells # make show=FLAVORS
===> shells/bash
static
===> shells/bash (static)
static
===> shells/bash2
static
===> shells/bash2 (static)
static
===> shells/es
static
===> shells/scsh
===> shells/tcsh
static
===> shells/tcsh (static)
static
===> shells/zsh
static
===> shells/zsh (static)
static
===> shells/zsh-devel
static
===> shells/zsh-devel (static)
static
shells #
The above example, shows that the 'shells' can be compiled with the flavor
'static'.
To compile with flavors use the command sequence:
# env FLAVOR="flavor1 flavor2" make
For example:
# cd /usr/ports/www/php4
php4 # make show=FLAVORS
gdbm gettext imap ldap mhash mm recode snmp gd no_x11
pdflib mcrypt curl dbase filepro mysql mysql_bundled postgresql iodbc
php4 # env FLAVOR="mysql gdbm gettext imap pdflib" make package
After discovering what flavors are available for php4, we can make the php4 package (or install) with the specific flavors we wish.
Another example:
# cd /usr/ports/emulators/bochs/
bochs # make show=FLAVORS
debug i386 i486 pci smp net no_x11 term
# env FLAVOR="i386 i486 pci net term" make install
Changing into emulators/bochs we find there are 8 flavors supported by this port. We generate the application for those flavor we want.
According to the man pages, FLAVORS is an enhancement to the ports collection 1st implemented in OpenBSD.
Copyright (c) 2000/1/2 Samiuela LV Taufa. All Rights Reserved.
I reserve the right to be totally incorrect even at the best advice of betters.
You are permitted and encouraged to use this guide for fun or for profit as you see fit. If you republish this work in what-ever form, it would be nice (though not enforceable) to be credited.
|
ports - A Quick Intro |
Copyright © 2000/1/2 NoMoa.COM All rights reserved.


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February, 2001.
In my living room.
2 Others Present
This was my first time with salvia. I had been looking forward to it for a couple days (it had been delivered on the way), and wasn't really expecting anything (I try to not expect anything because nothing turns out as I'd expected). I had waited quietly for my friends to trip; it being my house, I wasn't sure what might happen. They pretty much just laid there quietly for about 25 minutes or so. They had been back for about 10 minutes, and said they didn't really feel much from it. I obviously still wanted to try it.
My turn!
So, I took 3 doses of this pure liquid extract a friend had gotten ahold of.  I waited for 7 minutes, took 3 more, and spit that out 7 minutes later. I was already feeling it at this point.
I closed my eyes, layed down on the couch, started listening to the music we had playing (trance), and drifted out of my living room. It seemed like I was getting layers upon layers of colored 'stuff' getting thrown around in front of me, just floating out somewhere. Oranges, yellows, bright whites, blues, greens; all of them seemed shiny and vibrant, rippling and 'sloshing?' over me. It was pretty amazing...
My doorbell rang. I snapped back to the couch, and looked around. Neither of the others were doing anything about the doorbell, so I answered it through the intercom.
Some lady was asking if my house was [some address that it wasn't]
I told her what address my house was. She left.
WOW! That sucked! I dropped back onto the couch, laying down again. Almost immediatly I was back out, somewhere with no intercoms or people asking for addresses. I got the feeling that layers of color were being flung over me again, but this time it seemed that other people or beings were giving me this color, layer by layer. I did not see these Others, but it sure felt like they were there. Looking back, I think it was probably the friends that my conscious knew were still there, back in my living room. I also noticed that when I closed my eyes a bit harder, the entire hallucination would morph into something seemingly a lot larger, MORE colerful, and MORE 'engulfing?'
The others in my living room started talking. I snapped back to the couch, opening my eyes and looking at them. They were talking about thier trip.

The rest of the trip (Probably 10 more minutes) was not nearly as cool. They kept talking, talking, talking, pulling me back to reality with every word.
I enjoyed the liquid extract. Apperantly it lasts a lot longer than smoking it does(my trip was about 30 minutes, and my friends were gone for about 25 minutes. After-effects were there for a couple more hours. Smoking pot afterwards was pretty cool as well).
Next time I will make sure nobody is going to start talking during my trip.  The music was amazing, but people just talking loudly was terrible.
I would also recommend turning off lights so people won't be ringing your doorbell.
Overall, I enjoyed it a lot and will want to give it another shot, probably more doses, less people, and less noise.
-=M=-
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Some widgets can be connected directly to application variables by using special options: variable (Radiobutton, Checkbutton, Scale), textvariable (Label, Button, Entry), onvalue, offvalue, and value (Radiobutton). This connection works both ways: if the variable changes for any reason, the widget it's connected to will be updated to reflect the new value. These Tkinter control variables are used like regular Python variables to keep certain values. It's not possible to hand over a regular Python variable to a widget through a variable or textvariable option. The only kinds of variables for which this works are variables that are subclassed from a class called Variable, defined in the Tkinter module.
Tkinter variables are useful because they live on after the widgets they are tied to have been destroyed. It is possible to fetch input values from them long after the widgets has been dismissed.
s1 = tk.StringVar() # Holds a string; default value ""; textvariable has to be used s2 = tk.StringVar(value="word") # set the initial value i1 = tk.IntVar() # Holds an integer; default value 0 i2 = tk.IntVar(value=5) x1 = tk.DoubleVar() # Holds a float; default value 0.0 x2 = tk.DoubleVar(value=3.14) x1.set(1.2) # changing the value of a variable data = x1.get() # reading the current value of a variable b1 = tk.BooleanVar() # Holds a boolean, returns 0 for False and 1 for True b2 = tk.BooleanVar(value=True)
# Using names for tkinter variables. root = tk.Tk() strvar = tk.StringVar(root, name="person") root.setvar(name="person", value="GvR") print(root.getvar(name="person")) strvar.set("Guido") print(strvar.get())
# Using Entry with variables. strvar = tk.StringVar() entry = tk.Entry(root, textvariable=strvar) strvar.set("new string") print(strvar.get())


T3A03-Christian web page.html
Plain Text Bold and Italic can you put them together
This is an image
this is
a span
this is an ordered list of foods
- sushi
- steak
- pizza
- Chicken
- Beef
- Ramen
this is an un-ordered list of countires
- Canada
- Germany
- China
- Japan
Table for games
| League of legends | 0/10 |
| EU 4 | 10/10 |
| Rust | 8.5/10 |
| Valhiem | 10/10 |
| Stellaris | 5/10 |


J2SSH is a suite of Java SSH applications providing a Java SSH API, SSH Terminal, SSH secured VNC client, SFTP client and SSH Daemon.
Downloads and more information about J2SSH may be found at http://sshtools.sourceforge.net/.
Known Issues
- Only single hostnames will ever be stored or returned by the
{@link net.sf.sshapi.SshHostKeyManager} implementation provided by J2SSH.
- Removing a host key using {@link net.sf.sshapi.SshHostKeyManager} will
remove ALL keys that have the same hostname.


Application Type
Specify the application type and project options.
Overview
Application Type
User Interface Features
Select application type:
S
DI Application
Multiple
T
hreads SDI
M
DI Application
Tab
V
iew Application
E
xplorer Application
D
ialog Based
M
o
dal Dialog
Select project options:
Enable ActiveX Control
H
osting
Create as a
C
OM Server
Generate .CPP
F
iles
N
o Automatic Namespaces
Support Windows
X
P
F
inish
C
ancel
H
elp


This section provides an example which illustrates the use of the RSA algorithm for encryption and decryption. To make it easier to follow the steps that need to be performed with CrypTool, the example is illustrated with a number of screenshots.
The encryption and decryption will be demonstrated by applying it to a text document.
At first we load a part of the help text for CrypTool, "Introduction to CrypTool", which is contained in the file "CrypTool-en.txt". To open this document in CrypTool, select the menu File \ Open.
To initiate the encryption use RSA Encryption in the menu Encrypt/Decrypt \ Asymmetric.
To start the encryption you have to choose the receiver (which includes his public key) and to click on the button Encrypt. For the encryption no PIN code is necessary.
The following window shows the result of the encryption.
Decryption of the document can be done via the item RSA Decryption in the menu Encrypt/Decrypt \ Asymmetric.
Asymmetric decryption can only be done by an authorized person: Therefore for decryption in contrast to the encryption you have to enter a PIN.
The cleartext then appears in the window for textual input and output. The follwing window shows the result.


This repository is for those looking for answers to the LinkedIn assessment quiz questions or willing to help others by contributing to the tests. Or possibly you would like to create your first pull request and be added as a contributor. Whatever is your goal - you are always welcome here! Feel free to use https://www.grammarly.com/ for online grammar checker when you contribute!
if you want to meet each other or discuss quiz related problems join the Discord
chat
| Linkedin-quiz-questions | Translation | Status | Your resource for answers. In case you have doubts please contact this person or add him to review your PR. | |
|---|---|---|---|---|
| Adobe-Illustrator | => 51 questions | => 0 answers | ||
| Adobe-Photoshop | => 36 questions | => 36 answers | ||
| Adobe Premiere Pro | => 47 questions | => 0 answers | ||
| Agile Methodologies | => 76 questions | => 76 answers | ||
| Android | => 44 questions | => 40 answers | [@surajsahani](https://github.com/surajsahani) | |
| AngularJs | => 15 questions | => 2 answers | ||
| AWS | => 38 questions | => 36 answers | [@jokerkeny](https://github.com/jokerkeny) | |
| AWS-Lambda :fire: | => 44 questions | => 44 answers | ||
| Bash | => 53 questions | => 53 answers | [@D4RIO](https://github.com/D4RIO) | |
| C# | => 48 questions | => 47 answers | ||
| C++ | => 33 questions | => 26 answers | ||
| C (Programming Language) | => 25 questions | => 25 answers | ||
| CSS | => 77 questions | => 77 answers | ||
| Django | => 48 questions | => 48 answers | ||
| .NET Framework | => 37 questions | => 34 answers | ||
| Eclipse | => 22 questions | => 15 answers | ||
| Git :star: | => 92 questions | => 92 answers | ||
| Google Analytics | => 65 questions | => 45 answers | ||
| Google Cloud Platform (GCP) | => 27 questions | => 27 answers | ||
| Hadoop | => 18 questions | => 18 answers | ||
| HTML | => 62 questions | => 62 answers | [@harman052](https://github.com/harman052) | |
| Java | => 65 questions | => 65 answers | ||
| Javascript | => 70 questions | => 70 answers | [@harman052](https://github.com/harman052) | |
| jQuery :open_mouth: | => 50 questions | => 50 answers | ||
| JSON | => 51 questions | => 51 answers | ||
| Kotlin | => 44 questions | => 34 answers | ||
| Linux | => 34 questions | => 30 answers | [@D4RIO](https://github.com/D4RIO) | |
| Machine Learning | => 70 questions | => 70 answers | [@aaronwangj](https://github.com/aaronwangj) | |
| MATLAB | => 45 questions | => 45 answers | ||
| Maven :fire: | => 35 questions | => 35 answers | ||
| Microsoft Access | => 26 questions | => 0 answers | ||
| Microsoft Azure | => 44 questions | => 45 answers | ||
| Microsoft Excel | => 52 questions | => 52 answers | ||
| Microsoft Outlook | => 12 questions | => 0 answers | ||
| Microsoft Power BI | => 26 questions | => 23 answers | ||
| Microsoft Power Point | => 38 questions | => 38 answers | ||
| Microsoft Project | => 41 questions | => 41 answers | ||
| Microsoft Word | => 54 questions | => 52 answers | ||
| MongoDB | => 54 questions | => 54 answers | ||
| MySQL | => 68 questions | => 68 answers | ||
| node.js | => 41 questions | => 41 answers | [@harman052](https://github.com/harman052) | |
| NoSQL | => 43 questions | => 43 answers | ||
| objective-c | => 33 questions | => 31 answers | ||
| OOP | => 51 questions | => 51 answers | ||
| PHP | => 34 questions | => 34 answers | ||
| Python | => 67 questions | => 67 answers | [@tik9](https://github.com/tik9) | |
| QuickBooks | => 46 questions | => 0 answers | ||
| R | => 29 questions | => 29 answers | ||
| React.js :rose: | => 52 questions | => 52 answers | [@harman052](https://github.com/harman052), [@RobTables](https://github.com/RobTables) | |
| REST API :+1: | => 34 questions | => 34 answers | ||
| Rubi on Rails :+1: | => 24 questions | => 4 answers | ||
| Scala | => 25 questions | => 25 answers | ||
| Search Engine Optimization (SEO) | => 29 questions | => 28 answers | ||
| SharePoint | => 29 questions | => 29 answers | ||
| Spring Framework | => 15 questions | => 15 answers | [@sumanas27](https://github.com/sumanas27), [@rradfar](https://github.com/rradfar) | |
| Swift | => 48 questions | => 48 answers | ||
| Transact-SQL (T-SQL) | => 28 questions | => 28 answers | ||
| Visual Basic for Applications (VBA) | => 11 questions | => 0 answers | ||
| Visio | => 32 questions | => 0 answers | ||
| Windows Server | => 46 questions | => 44 answers | ||
| WordPress | => 42 questions | => 39 answers | [@harman052](https://github.com/harman052) | |
| XML | => 21 questions | => 19 answers |
We recommend formatting files using Prettier code formatter. Prettier comes installed with the IDE Vscode which we recommend for preparing the md files. It works on all OS. If you want to run it independently, get npm and:
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!


The emacs keybindings are enabled by
including keymap/emacs.js and setting
the keyMap
option to "emacs"
. Because
CodeMirror's internal API is quite different from Emacs, they are only
a loose approximation of actual emacs bindings, though.
Also note that a lot of browsers disallow certain keys from being captured. For example, Chrome blocks both Ctrl-W and Ctrl-N, with the result that idiomatic use of Emacs keys will constantly close your tab or open a new window.


-
FastFast load times and lag free interaction, my highest priority.
-
ResponsiveMy layouts will work on any device, big, medium or small
-
IntuitiveStrong preference for easy to use, intuitive UX/UI.
-
DynamicWebsites don't have to be static, I love making pages come to life.
Personal Facts
I'm a Front-End Developer from Malaga, ES.
I have serious passion for UI effects, animations and creating intuitive, dynamic user experiences.
Let's make something special.
Projects
Pixar
Wikipedia
Batatabit
Google Clone
STKLM
Formulario
Contact
Have a question or want to work together?


- Notebook auf machen in Azure nur falls ich was zeigen muss. - Auch alle anderen Links auf - TS Playground Übung selbst machen - Toolbox ausprobieren und Übung selbst machen - Fragen, wie viele Entwickler sind.
Introduce yourself to your neighbor(s) and talk about
5 Minutes
How would you rank me (47) for a car with 160 km/h top speed?
if age < 25:
if speed > 180:
return red
else:
return yellow
if age > 75:
return red
if km_per_year > 50:
return red
if km_per_year > 35:
return yellow
return green
Do we have all the rules? Are they even correct?
approx. 43% correct predictions (guessing would be 33%)
Manually cluster areas of different customer types
Make sure you draw with pressure
Generalisation, not perfect reproduction is the objective
Turn the page and redraw the lines you printed through from the first page
What do you think, is this result worse?
What would you have done differently if you had been given this information before (that it is all about generalisation)?
Why I like the term artificial intelligence: I think it's good to have an umbrella term for the field that encompasses a range of techniques – ML, knowledge rep, planning, heuristic search, goal formation, behavior modeling, etc. – and it's the one we have.
For a case to predict
approx. 98% accuracy on train data, but only 65% on test data
This is what we call Overfitting
only approx. 81% accuracy on train data, but also 75% on test data
Notice the smooth boundaries
Understanding the Basics of Neural Networks
(Stochastic) Gradient Descent (SGD)
http://www.benfrederickson.com/numerical-optimization/
A too high learning rate might miss the mimimum, a too low one might be slow
Make some sense of artificial neurons and neural networks using the TensorFlow Playground
only approx. 79% accuracy on train data, but also 77% on test data
Boundaries even more smooth
Using TensorFlow and Keras
inputs = Input(name='input', shape=(2, ))
x = Dense(100, name='hidden1', activation='relu')(inputs)
x = Dense(100, name='hidden2', activation='relu')(x)
x = Dense(100, name='hidden3', activation='relu')(x)
predictions = Dense(3, name='softmax', activation='softmax')(x)
model = Model(input=inputs, output=predictions)
model.compile(optimizer='adam',
loss='categorical_crossentropy',
metrics=['accuracy'])
model.fit(X_train, y_train_categorical, epochs=1000)
Trains around 90 seconds on fast GPU (might take up to 100 times more on conventional hardware)
Like classifying images
There are a number of specialized neural network layers
https://twitter.com/chrisalbon/status/907028933693947904?s=03
Cray X-MP
Supercomputer (1982)
Titan 5 im Gamer PC (2017)
Exploring the different types layers together
You might know from Photoshop etc., used in Convolutional Neural Networks
http://setosa.io/ev/image-kernels/
There are many more interactive explanations here:
http://setosa.io/ev
https://twitter.com/goodfellow_ian/status/918900712901197824
Machine Learning is the engine, but your data is the fuel
Again, discuss with your neighbor(s) - do you know a problem or data you could tackle with Machine Learning or more generally AI
Revisiting inital discussion with your neighbors
-
Ping us for questions / help / comments: @learnical / @DJCordhose


--- layout: post date: 2010-06-15 time: "09:00:00" authors: ["Greg Wilson"] title: Glossary and License Online tags: ["Content"] ---
A glossary of terms used in this course is now online; corrections and suggestions for both additions and deletions would be very welcome. The licenses used for course content and code have also been posted—both are as open as we can make them.


A lightweight but complete collection of essential UI components written with Vue and inspired by Material Design.
Created by Josephus Paye II.
GithubA lightweight but complete collection of essential UI components written with Vue and inspired by Material Design.
Created by Josephus Paye II.
Github


First, I sketch a mock-up of the desktop app.
May be a Pinterest like UI...
Let's try suggested experiences for those who don't know ...
Or, we can let the users decide if they want to create, modify, or delete an experience.


Tasks:
1. Run the displayGreeting( ) as a run time script.
2. Run the getStudentName( ) as a run time script.
3. Write a function called getStudentEmail( ). The function should use the prompt( ) to ask the user to enter their DMACC Email address. Store the returned valued in the studentEmail variable that has already been defined.
4. Run the getStudentEmail( ) as a run time script.
5. Write a function called displayEmail( ). The function will display the studentEmail variable with a message "Student Email:" in an alert. The button below will call the function when clicked.
6. Complete the function called printStudentInfo( ). The function should write the studentName and studentEmail to the web page. Each in their own paragraph.
7. Complete the displayEmailName( ). The function should display the name portion of the studentEmail variable. Do not include the @ symbol in the result.
Modify the following button to call the displayEmailName( ) with a click event handler.
8. Write a function called displayEmailServer( ). The function will display that portion of the studentEmail that follows the @ symbol. Do not include the @ symbol in the result.
9. Fix the button element that will run the displayEmailServer( ) with a click event handler.


See the Pen exploringMath by Ellen Bajcar (@ebajcar) on CodePen.
See the Pen exploreDate by Ellen Bajcar (@ebajcar) on CodePen.
See the Pen arrForEach by Ellen Bajcar (@ebajcar) on CodePen.
var machine;
var message = "";
var choices = ["paper", "scissors", "rock"];
var looseTo = { rock : "paper",
paper : "scissors",
scissors : "rock" };
var aimove = document.getElementById("aimove");
aimove.innerText = "\nWelcome!\n";
function cellClick(cell){
machine = Math.floor(Math.random() * 3);
var csel = choices[machine];
var hsel = cell.getAttribute("data-human-choice");
console.log( "machine selected: " + csel
+ " | you selected: " + hsel );
if ( csel == hsel )
message = " IT'S A TIE! ";
else
looseTo[csel] == hsel
? message = " YOU WIN! "
: message = " MACHINE WINS! ";
console.log(message);
}
var player = "X"; // current player
//array (collection) of 9 objects
var board = document.getElementsByTagName("td");
//all winning combinations, 3 rows, 3 columns, 2 diagonals
var winSets = [[0,1,2],[3,4,5],[6,7,8],
[0,3,6],[1,4,7],[2,5,8],
[0,4,8],[2,4,6]];
var empty = 9; // number of available (empty) cells
var gameover = false; // true when game is over
for (var i = 0; i < winSets.length; i++) {
if ( board[winSets[i][0]].innerText
== board[winSets[i][1]].innerText &&
board[winSets[i][1]].innerText
== board[winSets[i][2]].innerText &&
board[winSets[i][0]].innerText != "" ) {
// we've got a winner!
}
}


Ezekiel 23:33
Thou shalt be filled with drunkenness and sorrow, with the cup of astonishment and desolation, with the cup of thy sister Samaria.


Data aggregation in progress...
Progress
Statistics for DATE
Any reference to "Active" characters, refers to characters that have claimed the following item: The minion for completing the Shadowbringers Main Scenario Quest from the Patch 5.3 story
-


Below are current natural disasters that need your help today
Key statistics:
Amount of money raised so far: $50,392
Amount of water supplied: 4,903 bottles
Amount of food supplied: 3,382 care packages
Current number of people affected: 8,293
Key statistics:
Amount of money raised so far: $50,392
Amount of water supplied: 4,903 bottles
Amount of food supplied: 3,382 care packages
Current number of people affected: 8,293
Key statistics:
Amount of money raised so far: $50,392
Amount of water supplied: 4,903 bottles
Amount of food supplied: 3,382 care packages
Current number of people affected: 8,293


Werkzeug is a powerful WSGI utility library for Python. It includes an interactive debugger and feature-packed request and response objects.
This plugin integrates werkzeug.wrappers.Request and werkzeug.wrappers.Response as an alternative to the built-in implementations, adds support for werkzeug.exceptions and replaces the default error page with an interactive debugger.
Install with one of the following commands:
$ pip install bottle-werkzeug
$ easy_install bottle-werkzeug
or download the latest version from github:
$ git clone git://github.com/defnull/bottle.git
$ cd bottle/plugins/werkzeug
$ python setup.py install
Once installed to an application, this plugin adds support for werkzeug.wrappers.Response, all kinds of werkzeug.exceptions and provides a thread-local instance of werkzeug.wrappers.Request that is updated with each request. The plugin instance itself doubles as a werkzeug module object, so you don’t have to import werkzeug in your application. Here is an example:
import bottle
app = bottle.Bottle()
werkzeug = bottle.ext.werkzeug.Plugin()
app.install(werkzeug)
req = werkzueg.request # For the lazy.
@app.route('/hello/:name')
def say_hello(name):
greet = {'en':'Hello', 'de':'Hallo', 'fr':'Bonjour'}
language = req.accept_languages.best_match(greet.keys())
if language:
return werkzeug.Response('%s %s!' % (greet[language], name))
else:
raise werkzeug.exceptions.NotAcceptable()
This plugin replaces the default error page with an advanced debugger. If you have the evalex feature enabled, you will get an interactive console that allows you to inspect the error context in the browser. Please read Debugging Applications with werkzeug before you enable this feature.
The following configuration options exist for the plugin class:


USD/INR slips back below 72.00 as markets react to US-China trade jitters
by Anil Panchal- USD/INR fails to sustain Monday’s bounce amid doubts over the US-China trade deal.
- A lack of directional clues amid a broad strength of the USD keeps the upside intact.
- Moody’s downgrade, mixed inflation numbers add uncertainty while trading.
In a reaction to the market’s recent shift in risk-tone, the USD/INR pair pullback back from two-day highs to 71.95 by the press time of Tuesday’s Asian session.
With the broad strength of the US dollar (USD) and mixed fundamentals of the Indian economy adds fuel to the pair’s rise, the quote recently surged to strongest since September 04.
While the greenback strength could be attributed to hopes of the US-China trade deal and the Federal Reserve’s (Fed) comparatively hawkish bias than the rest of the major central bankers, Moody’s downgrade to the Indian economic growth flashes initial signs of the Indian rupee (INR) weakness.
Among the additional catalysts, October month Indian inflation numbers rose beyond the government target but challenges to the economy keep prices under check. “As such, we opine that the rise in inflation pressures is not fuelled by the recent rate cuts by the central bank. This is given the fact that monetary policy is proven by being more effective in influencing demand behavior, rather than supply conditions. With economic growth likely to stay soft in the coming quarter amid limited fiscal policy space to-date, we continue to expect RBI to cut rates further by another 25 basis points in its December MPC meeting. Should that come to pass, this will bring the repurchase and reverse repurchase rate to 4.90% and 4.65%, respectively”, says UOB Group’s Economist B.Gan.
On the other hand, Chinese diplomats turn pessimistic over the trade deal prospects with the United States (US) while the continuation of Hong Kong protests and the US intervention keeps the risk-tone heavier. 10-year yeilds of the Indian and the US bonds stay mostly unchanged to 6.45% and 1.8% while Asian stocks follows the suit by the press time.
Amid a lack of major data from the US and also from India, pair traders will continue following trade/political headlines for fresh impulse.
Technical Analysis
Multiple highs marked since late-August, around 72.40, followed by the yearly top surrounding 72.65, holds the key to pair’s further run-up towards December 2018 high near 72.85 and then to 73.00. Alternatively, 71.55 and 71.30 can entertain sellers during further declines.
additional important levels
| Overview | |
|---|---|
| Today last price | 71.9625 |
| Today Daily Change | 0.0169 |
| Today Daily Change % | 0.02% |
| Today daily open | 71.9456 |
| Trends | |
|---|---|
| Daily SMA20 | 71.1874 |
| Daily SMA50 | 71.1578 |
| Daily SMA100 | 70.6892 |
| Daily SMA200 | 70.2067 |
| Levels | |
|---|---|
| Previous Daily High | 71.958 |
| Previous Daily Low | 71.5715 |
| Previous Weekly High | 72.37 |
| Previous Weekly Low | 70.97 |
| Previous Monthly High | 71.79 |
| Previous Monthly Low | 70.6425 |
| Daily Fibonacci 38.2% | 71.8104 |
| Daily Fibonacci 61.8% | 71.7192 |
| Daily Pivot Point S1 | 71.692 |
| Daily Pivot Point S2 | 71.4385 |
| Daily Pivot Point S3 | 71.3055 |
| Daily Pivot Point R1 | 72.0786 |
| Daily Pivot Point R2 | 72.2116 |
| Daily Pivot Point R3 | 72.4651 |


American
American
Italian
Mexican
Japanese
Your browser does not support the HTML5 canvas tag.
{{selectedCuisine}}
{{status}}%
{{list.Description}}
{{ $index+1 }}
{{dishes.Dish}}
{{rest.Name}}
{{rest.Speciality}}
{{rest.Address}}
Today
{{rest.HoursOfOperation}}
Open Now
{{rest.Phone}}
{{rest.Website}}


Horner: “The loser is always the team” in teammate crashes like Ferrari’s
by Bevan YoulRed Bull team principal Christian Horner has said that “the loser is always the team” in situations like Ferrari’s at the Brazilian Grand Prix when teammates collide, leading to both cars retiring.
Ferrari’s Sebastian Vettel and Charles Leclerc came together at Interlagos last weekend when battling each other on track, causing both to retire from the race with damage and prompting boss Mattia Binotto to call for a meeting with the pair.
Horner himself has had to deal with similar situations before when Vettel, driving for Red Bull, collided with teammate Mark Webber at the Turkish Grand Prix in 2010.
"It depends on the scenario and each team has a different approach, and different people have different approaches, so it's difficult for me to judge Ferrari's situation," said Horner as quoted by Autosport.
"But the loser is always the team in that situation. Obviously it is a tricky one."
The Briton also said that the resulting decision in what is best for the team quite often isn’t the best decision for the drivers as individuals.
“I'm glad it's not my drivers," he added.
"It's always a difficult situation.
"Race drivers are fiercely competitive animals, and there is often a conflict between what is right for the team and what is right for the individual."


cbthelper (for javascript)
cbthelper wraps CrossBrowserTesting's selenium api into an easy to use library.
Install
npm install --save cbthelper
Usage
See example.js to see how you can use the library. Don't forget to set your username and authkey in that file. You can also set the environment variables CBT_USERNAME and CBT_AUTHKEY.


{{ template "head.tmpl" }}
{{ template "nav.tmpl" }}
Welcome {{ .username }}
Statistics for
Total books count:
Previous year:
Per Month
Top 3:
Rating Percentage
Author Percentage
Translator Percentage
Publisher Percentage
Click to load covers wall
{{ template "foot.tmpl" }}


Schema-Agnostic Query Rewriting is a novel approach to provide query answering with reasoning support without the need to know the ontology beforehand.
The central component of a practical system would be the query rewriter. The demo below rewrites your SPARQL query to a new SPARQL query which can then be used to query arbitrary SPARQL endpoints. Note that an ontology must be contained in the dataset of the SPARQL endpoint for interesting results.
You can find more details on the approach in the ISWC 2014 paper Schema-Agnostic Query Rewriting in SPARQL 1.1 by Stefan Bischof, Markus Krötzsch, Axel Polleres, and Sebastian Rudolph.
Enter your SPARQL query on the left, click "Rewrite", and get the resulting SPARQL query on the right.


{% seo %}
react-drafts
React-based WYSIWYG editor built using DraftJS. Supports the most commonly requested editor features, plus some uncommonly found features like tables.
{% if site.github.is_project_page %}
View on GitHub
{% endif %}
{{ content }}
{% if site.google_analytics %} {% endif %}


If you configure the locale and register the locale data as explained in the
i18n guide, the date picker will honor the locale and use days and months
names from the locale data. You can however provide a custom service, as demonstrated in this example, to customize
the days and months names the way you want to.
Datepicker in French


Find the complete movie career of Halle Berry, including. filmography, awards and biography on Yahoo Movies Halle. Berry
Oct 7, 2013 Halle Berry and husband Olivier Martinez welcomed. a new baby boy into their lives This is the second child. for Halle Berry
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Fan site includes news, biography, filmography, photo gallery, articles, trivia and quotes. Oct 8, 2013 Halle Berry has named her son. What, exactly? Find out now! Unlucky in love, maybe Halle Berry will have a successful relationship with French actor, Olivier Martinez
Oct 6, 2013 Halle Berry and Olivier Martinez welcomed a son on Saturday, Oct 5, in Los Angeles People reports. The Oscar winner and the French actor, Oct 6, 2013 Halle Berry is officially on diaper duty again E! News has learned that the Oscar winner delivered a baby boy Saturday at Cedars Sinai Oct 5, 2013 Superstar Halle Berry, has given birth to a baby boy! Get the latest Halle Berry News, Bio, Photos, Credits and More for Halle Berry on TVGuide. com Oct 6, 2013. Halle Berry gave birth to. a baby boy late Saturday The Oscar-winning actress and her husband, Olivier Martinez, welcomed the child at Ceders Oct 8, 2013 Halle Berry and Olivier Martinez have named. their newborn son Maceo Robert Martinez The little boy was born at Cedars Sinai Hospital on 5
Oct 7, 2013 Halle Berry and Olivier Martinez have named their infant son Maceo Robert BREAKING NEWS - Halle Berry. Gives Birth To Baby Boy!
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Get Started
Prefer a Video?
In this video, we show how you can create your blog in less than five minutes !
Prerequisite
You can run BloggerCMS on your web host or on your local PC; in both cases you can create your blog and upload it where you want. In either case we expect you have PHP 5.3 or greater available and also mod_rewrite module activated. If you want to run BloggerCMS on your local computer, you can go for XAMPP.
In this guide, we will start from scratch by downloading and installing BloggerCMS and adding posts and pages and have a blog up and running. The whole process is no longer than five minutes (see above video) but reading and then following takes bit of time of course.
Downloading BloggerCMS
Head over to BloggerCMS Github Repository and download BloggerCMS either by clonning it's repository or direct zip download option.
Installing BloggerCMS
You can either install BloggerCMS on your local PC or on your web hosting provider. In either case, you can generate a blog. In this guide though, we explain how to install it on local PC and be able to generate a blog and upload it where we want.
We assume, you have already downloaded BloggerCMS and have installed XAMPP or similar solution. Please follow these steps to install it:
- Move the BloggerCMS folder to your web root folder usually named www or htdocs.
- Visit the BloggerCMS url on localhost. It's url will be like http://localhost/BloggerCMS assuming folder name is BloggerCMS. You should see BloggerCMS dashboard page like shown below:
Updating Settings
We now need to update required Blog URL field in settings page. Go to settings page by clicking on its link:
And then specify Blog URL field to be http://localhost/BloggerCMS/public
Note: This is just an example, in real world case, for Blog URL field, you would specify actual URL of your blog where you upload it something like http://mydomain.com/blog. For this very blog, it is specified like https://bloggercms.github.io since our blog is hosted on https://bloggercms.github.io.
You should also update other blog settings; Blog Title, Blog Tagline and Author Name and finally click on the Update button on the bottom. You can also update Follow Settings and Custom Values (custom values can be embedded in layout) on the settings page.
Generating Static Blog
To generate your fully functional static blog, click on the Generate Blog on the top right:
You will see success message like this:
Check out your BloggerCMS/public folder which was empty before should now contain your blog files generated:
Notice that data folder contains whole data of your blog such as settings, posts, pages, categories, tags, etc. It is the data store of your blog.
To see the blog, visit http://localhost/BloggerCMS/public in your browser and you should see your blog:
Adding a Post
Let's now add a post but before that let's create a category for our post. T do so, expand Posts section by clicking on it and then click on Categories link:
Type some category name and then click on the Add Category button to add it:
Now click on the Add Post link from Posts section and you would see add post page. Enter Post Title, Tags and Body and for the Category, select the category we just created and then click on the Add Post button:
Once you have added post, click once again on the big green button on top right Generate Blog and then visit your blog url to see post:
Adding a Page
To add a page, from Pages section, click on the Add Page link:
On the add page, enter Page Title and Page Content and hit the Add Page button:
Once again click on the green Generate Blog button to update your blog. You would now see your page link added in top navigation:
Click on the new page link to see it:
This concludes the getting started guide. To see more tutorials, please see the Tutorial section.


We Are Proud to Work
Joeby Ragpa
CEO of CompanyMat Trump
Lead DesignerClint Marshal
Front-End Developer10 years on the global market.
We work since 2005.
We possess within us two minds. So far I have written only of the conscious mind. I would now like to introduce you to your second mind. Our subconscious mind contains such power and complexity that it literally staggers the imagination. In order to understand how the conscious and subconscious minds work together as a team to create your reality, let me again use an analogy.
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Our web design team will spend time with our digital marketing team to ensure the core principles of effective websites.
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I’am amazed, I should say thank you so much for your awesome template. Design is so good and neat, every detail has been taken care these team are realy amazing and talented! I will work only with canna agency.
I’am amazed, I should say thank you so much for your awesome template. Design is so good and neat, every detail has been taken care these team are realy amazing and talented! I will work only with canna agency.
I’am amazed, I should say thank you so much for your awesome template. Design is so good and neat, every detail has been taken care these team are realy amazing and talented! I will work only with canna agency.
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Flash on splash.
This flash is a little more... complicated than that other, simple animation.
Instead of using a traditional flash button, to manipulate the robot, I used something called a 'mask'. It doesn't work like a traditional mask, however, because the mask coveres the entire page, and then I had to determine what became unmasked and when. I used a movie clip behind the mask and a motion tween inside the movie clip to move the robot. I used the movie clip because I needed to 'seek' to certain positions of the movie whenever a user hovered over the clip and moved away from the clip. I haven't quite got the actionscript where I want it, and in the end I hope to have the robot reverse it's motion tween mid-way through said tween. I haven't done much javascripting though, so actionscript is all new to me...
Song: The Becoming
Artist: Nine Inch Nails
import flash.events.MouseEvent;
import flash.net.navigateToURL;
btn_mc1.buttonMode = true;
btn_mc1.addEventListener(MouseEvent.ROLL_OVER, onButtonOver);
btn_mc1.addEventListener(MouseEvent.ROLL_OUT, onButtonOut);
btn_mc1.addEventListener(MouseEvent.CLICK, onButtonClick);
function onButtonOver(e:MouseEvent): void
{
e.currentTarget.gotoAndPlay("over");
}
function onButtonOut(e:MouseEvent): void
{
e.currentTarget.gotoAndPlay("out");
}
function onButtonClick(e:MouseEvent): void
{
var url:String = "index.html";
var request:URLRequest = new URLRequest(url);
try {
navigateToURL(request, '_self'); // second argument is target
}
catch (e:Error) { trace("Error occurred!"); };
}
import flash.net.navigateToURL;
btn_mc1.buttonMode = true;
btn_mc1.addEventListener(MouseEvent.ROLL_OVER, onButtonOver);
btn_mc1.addEventListener(MouseEvent.ROLL_OUT, onButtonOut);
btn_mc1.addEventListener(MouseEvent.CLICK, onButtonClick);
function onButtonOver(e:MouseEvent): void
{
e.currentTarget.gotoAndPlay("over");
}
function onButtonOut(e:MouseEvent): void
{
e.currentTarget.gotoAndPlay("out");
}
function onButtonClick(e:MouseEvent): void
{
var url:String = "index.html";
var request:URLRequest = new URLRequest(url);
try {
navigateToURL(request, '_self'); // second argument is target
}
catch (e:Error) { trace("Error occurred!"); };
}


I currently run a project team analyzing data for publication in the Daily Pennsylvanian and I also write about topics relating to international security.Here's some of the stuff that I've written:
Greek life is a substantial aspect of life at Penn. A number of these organizations take in hundreds of thousands in revenue each year.
A detailed look at the statistics behind Trump's twitter account, since Trump’s Twitter is probably the most influential social media account in the world.
The same organizations responsible for the deaths of over 150,000 people in the past decade are now providing free food and essential goods for survival amidst pandemic conditions. Why are they doing this?
Currently, public discourse on armed drones is concentrated around their use by militaries. However, focusing entirely on military drones is dangerous, as it ignores the emergent threat of cheap, weaponized commercial drones used by non-state actors.
To investors and engineers alike, artificial intelligence (AI) is the new hotness in the tech world. Unfortunately, there’s a pretty good chance AI will not live up to its high expectations, which will end up hurting development in the long run.
In 2009, the Uighurs in China’s Xinjiang Province started to disappear. Chinese security forces sealed off entire neighborhoods, arresting Uighur men and teenage boys. Most of them never saw their families again. The Xinjiang situation is among the worst human rights violations of the 21st century.
Many applications of deepfakes are entertaining and harmless, such as putting Nicholas Cage’s face onto other actors or changing the Mona Lisa into a talking image. Unfortunately, other applications are far more sinister - deepfakes will do far more harm to ordinary people than high profile public figures.
There is a fundamental difference between disagreeing with someone and believing that they are undeserving of basic respect. Many people on social media don’t seem to understand this distinction.
At first glance, the numbers on the Student Financial Services website look pretty good. So why is socioeconomic diversity at Penn statistically so lacking?


AY partners Chinese firm to produce new movie
by Dotun OladipoNigerian comedian, actor and film producer, Ayodeji Richard Makun, aka AY, has bagged a deal with the Huawen Movie group in China to collaborate on the making of his next project: “30 Days.”
This would be the first deal championed by AY in collaboration with Chinese film industry and Nigerian Nollywood industry.
In an Instagram post by AY: @aycomedian, who was recently in China, the film producer and actor revealed that he had a meeting with executives of Huawen Movie Group.
He captioned the picture of himself at the Chinese office of the media group, where he wrote: “We are looking at a brighter future for Nollywood.”
He said he was joined on the journey by Mr. Wang, Chairman Huahua Media, and Moses Babatope of Filmone Entertainment.
In a chat with CNN Africa, Babatope said the Chinese collaboration will open up Nollywood to Chinese cinema audience and create better quality movies.
“We will be exposed to a worthwhile and moving Chinese film market. It’s like skipping many hurdles and getting access to an existing mature market,” Babatope said.
AY’s entry into Nollywood was with the production of “30 Days in Atlanta.”
The production, shot in collaboration with the Atlanta Government, was an epic that paved the way for Nigerian comic films in cinemas.
“30 Days in China” joins Makun’s comedy franchise, which includes “30 days in Atlanta” and “10 days in Sun City,” where he films adventures in new countries.
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This page will contain core and relevant links pertaining to the Know Africa project.
The short version
We are a team of learning software engineers at DevCareer, and we built an application called Know Africa.
It is not a real project, such that whatever data is collected is possibly ours used in testing some OAuth applications.


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ANY GIVEN SUNDAY
Review by John Beachem
* 1/2
Directed by: Oliver Stone Written by: Rob Huizenga (novel), Pat Toomay
Imagine watching the superbowl, it's a goal line stand with four seconds left in the game. The tension is palpable as you clench and unclench your hands into fists, waiting for the final play. Then, just as the play commences, you're surrounded by blaring rap music and the screen suddenly cuts to a bunch of people in the stands beating each other up. This seems to be the way Oliver Stone pictures football. I'm sure some will call his filming ideas here moden and innovative, but I think obnoxious is a more fitting adjective. Stone's idea of direction seems to involve the camera never sitting still for more than two seconds at a time, and never allowing people to speak without pounding music accompanying them which drowns out all that they say.
The Miami Sharks are having a terrible season. Led by head coach Tony D'Amato (Al Pacino) and aging quarterback Cap Rooney (Dennis Quaid), they've lost their past four games. The team's owner has just passed away and left things in the hands of his money grubbing daughter, Christina Pagniacci (Cameron Diaz). Chistina wants to permanently bench Cap after he is injured, and place third stringer Willie Beaman (Jamie Foxx) at the head of the team. The problem is, the team doesn't much respect Beaman despite his skills. Tony tries desperately to bring the team back together as everything he has worked to build crumbles around him.
After watching this film, something interesting occured to me. I haven't enjoyed a single movie which LL cool J (playing the team's star running back here) has appeared in, yet I've found his performance in each of his films to be rather entertaining. The man is not without talent, but he doesn't seem capable of selecting a good film to appear in. As for the rest of the cast, they most likely would have performed well if it weren't for some of the worst dialogue ever written. Then again, I'm only assuming that all the dialogue was terrible. I couldn't hear half of it because the "music" was playing so loudly. On those rare occasions when the film actually tries to deliver a message, we're interrupted by a cutaway to clouds moving across the sky or something similarly pointless.
I always try to point out the good qualities in every film I see, but I'm hard pressed to do so here. Lawrence Taylor, the hall of famer shows up playing the team's linebacker and actually turns in one of the film's better performances. James Woods shows up in what amounts to little more than a cameo as the team doctor, and Charleton Heston is seen briefly playing the commisioner. The final game of the movie is vaguely interesting, despite being incredibly predictable. That about does it for the good points here. The remainder of the film is composed of pointless pop culture references, music videos and inane speeches.
"Any Given Sunday" runs insanely long at 162 minutes.  I'd recommend the film only if you're a die hard fan of either Oliver Stone or Al Pacino, although Pacino appears rather embarassed to be in this movie. The movie contains a rather amusing little twist at the very end, but it's shown during the credits. Good luck staying through the rest of the film to catch it. I give "Any Given Sunday" one and a half stars and a recommendation to stay far, far away.
Feel free to e-mail with comments at<EMAIL_ADDRESS>* * * * * - One of the greatest movies ever made, see it now. * * * * - Great flick. Try and catch this one. * * * - Okay movie, hits and misses. * * - Pretty bad. See it if you've got nothing better to do. * - One of the worst movies ever. See it only if you enjoy pain.
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.
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Reshaping in Pandas - Pivot, Pivot-Table, Stack and Unstack¶
By Nikolay Grozev (http://nikgrozev.com/)
Pandas is a popular python library for data analysis. It provides a façade on top of libraries like numpy and matplotlib, which makes it easier to read and transform data. It provides the abstractions of DataFrames and Series, similar to those in R.
In Pandas data reshaping means the transformation of the structure of a table or vector (i.e. DataFrame or Series) to make it suitable for further analysis. Some of Pandas reshaping capabilities do not readily exist in other environments (e.g. SQL or bare bone R) and can be tricky for a beginner.
In this notebook, some of the most common Pandas reshaping functions are explained.
Pivot¶
The pivot function is used to create a new derived table out of a given one. Pivot takes 3 arguements with the following names: index, columns, and values. As a value for each of these parameters you need to specify a column name in the original table. Then the pivot function will create a new table, whose row and column indices are the unique values of the respective parameters. The cell values of the new table are taken from column given as the values parameter.
A bit foggy? Let’s give an example. Assume that we are given the following small table:
[1]:
from collections import OrderedDict
from pandas import DataFrame
import pandas as pd
import numpy as np
table = OrderedDict((
("Item", ['Item0', 'Item0', 'Item1', 'Item1']),
('CType',['Gold', 'Bronze', 'Gold', 'Silver']),
('USD', ['1$', '2$', '3$', '4$']),
('EU', ['1€', '2€', '3€', '4€'])
))
d = DataFrame(table)
d
[1]:
| Item | CType | USD | EU | |
|---|---|---|---|---|
| 0 | Item0 | Gold | 1$ | 1€ |
| 1 | Item0 | Bronze | 2$ | 2€ |
| 2 | Item1 | Gold | 3$ | 3€ |
| 3 | Item1 | Silver | 4$ | 4€ |
[2]:
p = d.pivot(index='Item', columns='CType', values='USD')
p
[2]:
| CType | Bronze | Gold | Silver |
|---|---|---|---|
| Item | |||
| Item0 | 2$ | 1$ | None |
| Item1 | None | 3$ | 4$ |
As can be seen above, the value of USD for every row in the original table has been transferred to the new table, where its row and column match the Item and CType of its original row. Cells in the new table which do not have a matching entry in the original one are set with NaN.
As an example the following lines perform equivalent queries on the original and pivoted tables:
[3]:
# Original DataFrame: Access the USD cost of Item0 for Gold customers
print (d[(d.Item=='Item0') & (d.CType=='Gold')].USD.values)
# Pivoted DataFrame: Access the USD cost of Item0 for Gold customers
print (p[p.index=='Item0'].Gold.values)
['1$']
['1$']
Note that in this example the pivoted table does not contain any information about the EU column! Indeed, we can’t see those euro symbols anywhere! Thus, the pivoted table is a simplified version of the original data and only contains information about the columns we specified as parameters to the pivot method.
Pivoting By Multiple Columns¶
Now what if we want to extend the previous example to have the EU cost for each item on its row as well? This is actually easy - we just have to omit the values parameter as follows:
[4]:
p = d.pivot(index='Item', columns='CType')
p
[4]:
| USD | EU | |||||
|---|---|---|---|---|---|---|
| CType | Bronze | Gold | Silver | Bronze | Gold | Silver |
| Item | ||||||
| Item0 | 2$ | 1$ | None | 2€ | 1€ | None |
| Item1 | None | 3$ | 4$ | None | 3€ | 4€ |
As shown above, Pandas will create a hierarchical column index (MultiIndex) for the new table. You can think of a hierarchical index as a set of trees of indices. Each indexed column/row is identified by a unique sequence of values defining the “path” from the topmost index to the bottom index. The first level of the column index defines all columns that we have not specified in the pivot invocation - in this case USD and EU. The second level of the index defines the unique value of the corresponding column.
We can use this hierarchical column index to filter the values of a single column from the original table. For example p.USD returns a pivoted DataFrame with the USD values only and it is equivalent to the pivoted DataFrame from the previous section.
[5]:
p.USD
[5]:
| CType | Bronze | Gold | Silver |
|---|---|---|---|
| Item | |||
| Item0 | 2$ | 1$ | None |
| Item1 | None | 3$ | 4$ |
[6]:
p.USD.Bronze
[6]:
Item
Item0 2$
Item1 None
Name: Bronze, dtype: object
[7]:
# Original DataFrame: Access the USD cost of Item0 for Gold customers
print(d[(d.Item=='Item0') & (d.CType=='Gold')].USD.values)
# Pivoted DataFrame: p.USD gives a "sub-DataFrame" with the USD values only
print(p.USD[p.USD.index=='Item0'].Gold.values)
['1$']
['1$']
Common Mistake in Pivoting¶
As we saw the pivot method takes at least 2 column names as parameters - the index and the columns named parameters. What will happen if we have multiple rows with the same values for these columns? How will the pivot method determine the value of the corresponding cell in the pivoted table? The following diagram depicts the problem:
Hence, before calling pivot we need to ensure that our data does not have rows with duplicate values for the specified columns. If we can’t ensure this we may have to use the pivot_table method instead.
The example below fails with the following error:
table = OrderedDict((
("Item", ['Item0', 'Item0', 'Item0', 'Item1']),
('CType',['Gold', 'Bronze', 'Gold', 'Silver']),
('USD', ['1', '2', '3', '4']),
('EU', ['1€', '2€', '3€', '4€'])
))
d = DataFrame(table)
p = d.pivot(index='Item', columns='CType', values='USD')
ValueError: Index contains duplicate entries, cannot reshape
Pivot Table¶
The pivot_table method comes to solve this problem. It works like pivot, but it aggregates the values from rows with duplicate entries for the specified columns. In other words, in the previous example we could have used the mean, the median or another aggregation function to compute a single value from the conflicting entries. This is depicted in the example below.
[8]:
table = OrderedDict((
("Item", ['Item0', 'Item0', 'Item0', 'Item1']),
('CType',['Gold', 'Bronze', 'Gold', 'Silver']),
('USD', [1, 2, 3, 4]),
('EU', [1.1, 2.2, 3.3, 4.4])
))
d = DataFrame(table)
p = d.pivot_table(index='Item', columns='CType', values='USD', aggfunc=np.sum)
p.fillna(value='--',inplace=True)
p
[8]:
| CType | Bronze | Gold | Silver |
|---|---|---|---|
| Item | |||
| Item0 | 2 | 4 | -- |
| Item1 | -- | -- | 4 |
In essence pivot_table is a generalisation of pivot, which allows you to aggregate multiple values with the same destination in the pivoted table.
Stack/Unstack¶
In fact pivoting a table is a special case of stacking a DataFrame. Let us assume we have a DataFrame with MultiIndices on the rows and columns. Stacking a DataFrame means moving (also rotating or pivoting) the innermost column index to become the innermost row index. The inverse operation is called unstacking. It means moving the innermost row index to become the innermost column index. The following diagram depicts the operations:
In this example, we look at a DataFrame with 2-level hierarchical indices on both axes. Stacking takes the most-inner column index (i.e. c00, c01, c10), makes it the most inner row index and reshuffles the cell values accordingly. Inversely, unstacking moves the most-inner row indices (i.e. r00, r01) to the columns.
Typically, stacking makes the DataFrame taller, as it is “stacking” data in fewer columns and more rows. Similarly, unstacking usually makes it shorter and wider or broader. The following reproduces the example:
[9]:
# Row Multi-Index
row_idx_arr = list(zip(['r0', 'r0'], ['r-00', 'r-01']))
row_idx = pd.MultiIndex.from_tuples(row_idx_arr)
# Column Multi-Index
col_idx_arr = list(zip(['c0', 'c0', 'c1'], ['c-00', 'c-01', 'c-10']))
col_idx = pd.MultiIndex.from_tuples(col_idx_arr)
# Create the DataFrame
d = DataFrame(np.arange(6).reshape(2,3), index=row_idx, columns=col_idx)
d = d.applymap(lambda x: (x // 3, x % 3))
d
[9]:
| c0 | c1 | |||
|---|---|---|---|---|
| c-00 | c-01 | c-10 | ||
| r0 | r-00 | (0, 0) | (0, 1) | (0, 2) |
| r-01 | (1, 0) | (1, 1) | (1, 2) |
Stack¶
Note that you can use the level to choose the index level: for the example above: level=-1 chooses the inner most column level and pivot that while level=-2 chooses the level above that as shown below:
[10]:
s = d.stack(level=-1)
s
[10]:
| c0 | c1 | |||
|---|---|---|---|---|
| r0 | r-00 | c-00 | (0, 0) | NaN |
| c-01 | (0, 1) | NaN | ||
| c-10 | NaN | (0, 2) | ||
| r-01 | c-00 | (1, 0) | NaN | |
| c-01 | (1, 1) | NaN | ||
| c-10 | NaN | (1, 2) |
[11]:
s = d.stack(level=-2)
s
[11]:
| c-00 | c-01 | c-10 | |||
|---|---|---|---|---|---|
| r0 | r-00 | c0 | (0, 0) | (0, 1) | NaN |
| c1 | NaN | NaN | (0, 2) | ||
| r-01 | c0 | (1, 0) | (1, 1) | NaN | |
| c1 | NaN | NaN | (1, 2) |
Unstack
[12]:
u = d.unstack(level=-1)
u
[12]:
| c0 | c1 | |||||
|---|---|---|---|---|---|---|
| c-00 | c-01 | c-10 | ||||
| r-00 | r-01 | r-00 | r-01 | r-00 | r-01 | |
| r0 | (0, 0) | (1, 0) | (0, 1) | (1, 1) | (0, 2) | (1, 2) |
[13]:
u = d.unstack(level=-2)
u
[13]:
| c0 | c1 | ||
|---|---|---|---|
| c-00 | c-01 | c-10 | |
| r0 | r0 | r0 | |
| r-00 | (0, 0) | (0, 1) | (0, 2) |
| r-01 | (1, 0) | (1, 1) | (1, 2) |
In fact Pandas allows us to stack/unstack on any level of the index so our previous explanation was a bit simplified :). Thus, in the previous example we could have stacked on the outermost index level as well! However, the default (and most typical case) is to stack/unstack on the innermost index level.
Stacking and unstacking can also be applied to data with flat (i.e. non-hierchical) indices. In this case, one of the indices is de facto removed (the columns index if stacking, and the rows if unstacking) and its values are nested in the other index, which is now a MultiIndex. Therefore, the result is always a Series with a hierarchical index. The following example demonstrates this:
In this example we take a DataFrame similar to the one from the beginning. Instead of pivoting, this time we stack it, and we get a Series with a MultiIndex composed of the initial index as first level, and the table columns as a second. Unstacking can help us get back to our original data structure.


Display Model, Firmware, Server version, etc.
Not sure what to put here, but I think I'll need it at some point.
 Whoops
Bouncing laser beam off the moon


Towards post-labourism
March 15, 2021In the past, a series of ideas and ideologies have emerged that promoted various changes towards socio-organizational alternatives based on the ideas of equity, solidarity and co-decision making in the administration of goods and services, that were the ideas of the labor movements -or workers movement-, which originated in the nineteenth century; among these we can identify Marxism-Leninism, anarchism and social democracy, as well as the various other kinds of reformisms.
Although they were positive in principle, and also have achieved many good things towards improving society, now they can no longer represent the current reality, and much less be the foundations of the future changes that we need, due to multiple assumptions and principles that they have that are no longer relevant, like certain old frameworks that have to be overcome, ones that we will explain consequently.
Industrialist thinkingLabor movements generally belong to an historical time that no longer exists, which was the industrial age, and through which they developed their referential frameworks that respond to specific problems of that time.
When this era ceased to exist, mainly due to the growing advance of automation and informational technologies, the classic industrial worker had to move mainly towards the service sector, and by that their respective identities and organizations of solidarity and political pressure either vanished or strongly declined.
As a consequence of industrial thought and certain frameworks associated with it, these various currents developed an erroneous theory of emancipation that was based on a supposed universal historical subject, known as the “working class” or proletariat. This corresponds to those subjects who do not have a property in the means of production, and as a consequence of the exploitation and contradictions of this supposed position, will emerge something that is called the class struggle that will eventually overwrought the current system towards a new post-capitalist one.
This concept and way of looking at macro-socio political changes is a theoretical flaw, which was the product of the industrialist bias; the fact is that this supposed universal identity no longer exists -or even never existed-, because it was the simple product of a historical stage that has now been mutated or even largely vanished at this stage. This subject and its consequent perspectives also vanished, giving a rise on a lot of different historical subjects and possible agents of change.
At present, new problems face us, such as ecological challenges related to climate change and pollution, job precarity, the privatization of the commons -such as knowledge-, unhappiness, drug addiction, and many other problems that industrial thinking does not even identify. In addition, we face not only those issues from today but also those that will emerge in the near future, such as technological unemployment, the dilemmas of bioengineering, the dangers of artificial intelligence and many other incipient problems that we are already beginning to see.
Faced with those problems, the industrial thinking related to those labor-workers movements have very little or even nothing to say, because it is not capable of understanding them and even less of giving effective solutions, simply because those movements and ideas arose to respond to problems of another era.
A new emancipatory project will have to get out of this labourist framework and enter a post-industrialist one, that corresponds with the post-industrial era, which presents many opportunities, but also many new big problems.
Today it is necessary for us to abandon this theoretical concept of the proletariat, to discover and build new subjects of emancipation and social advancement, which adjust to the parameters of our present and the consequent future era that awaits us.
AnthropocentrismLabourist movements were also child of classical modernity, and by that, they were characteristic of strong anthropocentrism, where they saw humanity and humans as the centrality of the world, and generally left aside of moral and political consideration other sentient beings such as animals or even the environment, which had been noted as instrumental elements at the mercy of the functionality for the production and reproduction of the human.
A new perspective should be based on the consideration of a framework that goes beyond anthropocentrism and humanism in general, and that consider politically relevant to other sentient beings and also the environment in which we all live, as well as a possible future where the Homo sapiens might become subordinate due to the appearance of new life forms based on biotechnology and artificial intelligence, which in turn will bring many dilemmas and ethical-moral problems that we will have to face; that is, in other words, we need to move from anthropocentrism to posthumanism, ecocentrism and sensocentrism.
InternationalismLabour movements promote an internationalist way of thinking -even more nationalist than internationalist-; although internationalism is clearly superior to nationalism, this framework is not capable of facing the new global problems that emerged and will continue to emerge in our time. Those internationalist visions, although in a certain way they focus on partially overcoming the nation-state, are still fit and framed into a nation state-centred perspective, which only tries to create soft bonds of solidarity between national-based social movements and states.
But this is not enough, today we face inherently global problems, which present a risk for all the inhabitants of this planet, such as climate change, pandemics, massive pollution, development of high weapons technology, the emergence of intelligence artificial, technological unemployment, inequality and many other problems that do not see borders between countries and also can’t be solved by the dynamics of national action.
To solve this, it is necessary to respond globally through new planetary organizational systems and social movement that can respond to these new problems in a supra-national way; and in turn consequently, for this, it is necessary to develop a common planetary identity and a global way of decision making and organizational building in general. This is a big leap, and it is clear in advance that those initiatives must be gradual and consensual since they cannot be achieved from one year to the next.
Post-conflictAnother theoretical failure of the labourist framework with bad repercussions at the socio-organizational level is the belief that there is one unequivocal and historical cause of human conflicts, that is related to the type of ownership of the means of production, the inequality of resources between groups or many other similar conceptualizations, and by that, they suppose that by getting rid of these configurations, the social conflict will end, thus reaching a post-conflict situation.
This vision associated with labourism, along with many others of different nature that are not worth mentioning here, are related to utopian and reductionist views of social conflict and violence in general; the truth is that social conflict will continue to exist every time in a more or less degree because we must understand that societies -especially big and complex ones- are inherently conflictive, then is to be expected that even a more equitable and horizontal society many zero-sum games, conflicts between groups and problems of various kinds will remain to exist, and which we must try to understand and solve at least partially.
Given this, in the face of a possible new society, it is necessary to create new organizational and conflict resolution systems orientated to mitigate conflicts and problems in general as much as possible with various strategies and modes of organization, definitively abandoning the belief that there is only one source of conflict or that the sources conflict can are easily resolved.
Reactionray thinkingThose projects associated with the labor movement, which sometimes presented an alternative social system or structures, were more reactionary than pro-actionary, that is, rather than having a clear vision of what to do when the system changes, they were limited to criticizing the injustices of the prevailing system and promoting a change towards something that they did not have at all clear, which some times were insufficient or inefficient, and at other times it was highly negative in social and environmental terms.
Therefore, since they don’t have good understanding how social systems work, especially because the labourist conception of the world has many theoretical flaws, they were not able to formulate effective alternative projects to overcome current systems of social organization, and as a consequence, on the circumstantial occasions that they had the opportunity to change something, they were not able to solve them effectively the situation or the issues that they pretended to solve.
This forces us to propose new alternative post-labourist frameworks of understanding the social world, in combination with new socio-organizational systems and social movements that not fall in a simple criticism of the current problems and injustices, that is, it is necessary to be pro-actionary, rather than just reactionary.
The post-labourist wayPresent classical-labourist frameworks are not capable of understanding how society works, and consequently, they are not capable of proposing effective solutions to the problems we face today, since their frames of reference belong to another era that no longer exists.
And partly because of this, today they have lost almost all the massive social presence that they once presented, going to occupy marginal positions in the social imaginary, like many other current pre-modern ideologies -like theocentric ones- that did not know how to adapt to the emerging changes of history.
Given this, we have to reformulate these aspects together and amalgamate them into a new post-labourist paradigm of progress that will overcome the limitations and errors of labourism.


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The translation of primitive (ASN.1) types to byte representation is described according to a set of rules. Technically, these rules are independent of ASN.1 type. 笔记：将ASN.1 type转换成byte representation需要一定的转换规则（或者说编码规则）。
A certificate is the sort of thing that would probably be represented in XML these days — there is, in fact, a set of rules to encode ASN.1 in XML format! However, by far the most common encoding, and the one that SSL relies on, is called the Distinguished Encoding Rules (DER). 笔记：Certificate Structure是基于ASN.1 type来描述的，在Certificate这个应用领域下，ASN.1 type最常用使用的编码规则是DER。
The DER describes how to format integers, strings, dates, object identifiers, bit strings, sequences, sets and so on. See X.690 for a complete listing of DER encoding rules.
Every encoded value is represented as a type
, followed by the value's length
,
followed by the actual contents of the value itself
; the representation of the value
depends on the type.
Actually, the first two bits of a tag
identify its tag class. In X.509 you come across two types
of tag classes: universal (00
) and context-specific (10
).
(The other two are application and private and are not used in X.509 certificates.) Context-specific tags are
explicit tags.
Any tag
value whose sixth bit is 1
(0x20
) is a constructed tag and
the parser must recognize that it contains additional ASN.1-encoded data.
笔记：从左向右看，前两个bit是tag class，第3个bit（从右向左是第6 bit）就是标识constructed tag。
DER allows for multi-byte types as well — and has complex rules on how to encode and recognize them — but X.509 doesn't need to make use of them and sticks with single-byte types. 笔记：这里在讲type，其重点是在X.509的应用场景中，使用DER编码时的type只占用1个byte。
The length
byte tells you when to stop reading the value and start looking for another tag.
笔记：这里在讲length。
The integer's type
is byte 02
. Therefore, the integer value 5
is encoded, according to DER, as
The integer value 65535
is encoded as
OID's are simple to encode. They're stored just like integers, but they have a type
of 6
instead of 2
. Otherwise, they're
encoded the same way: type, length, value
.
For example, the OID of 55 04 03
is represented as
The length
byte tells you that there are three bytes of OID.
The type
for a date is either 23
or 24
;
23
is a UTC — two-digit year — time.
24
is a generalized — four-digit year — time.
Although the type
actually includes enough information to infer
the length — you know that generalized times are 15 digits, and UTC times
are 13 — for consistency's sake the lengths are included as well. After that, the
year, month, day, hour, minute, second and Z are included in ASCII format. So
the date Feb. 23, 2010, 6:50:13 is encoded in UTC time as
and is encoded in generalized time as
There are quite a few different string types to account for different byte encodings (among other things). The official specification is actually not proscriptive about which type of string should be used, and you actually see different kinds. 笔记：有多种不同的string类型
However, the most common are IA5Strings (type 22
) and printable strings (type 19
), which you can treat interchangeably.
Given, for example, the country code “US”, the encoding would be
Bit strings are just like strings, with one minor difference. Their type is 3
to distinguish them from printable strings, but the
encoding is exactly the same: tag, length, contents
. The only difference between
bit strings and character strings is that bit strings don't necessarily have to end
on an eight-bit boundary, so they have an extra byte to indicate how much padding
was included. In practice, this is always 0
because all useful bit patterns
are eight-bit aligned anyway.
Actually, a single-length byte can only represent 127 byte values. The high-order bit is reserved. If it's 1, then the low order seven bits represent not the length of the value, but the length of the length — that is, how many of the bytes following encode the length of the subsequently following value. 笔记：这里在讲length表达不同长度的方法。
So, if a bit string is 512 bytes long, the DER-encoded representation looks like:
| TAG NUMBER | NUMBER OF LENGTH BYTES | ACTUAL LENGTH VALUE | BITS OF PADDING | VALUE |
|---|---|---|---|---|
| 03 | 83 | 02 00 00 | 00 | (512 bytes of value) |
Technically, a value doesn't have to be a bit string to have a length greater than 127; integers, strings, and OIDs could, at least in theory. In practice, though, this never happens.
Sets and sequences are what ASN.1 calls a constructed type — that is, a type containing other types.
Technically, they're encoded the same way as other values are. They
start with a tag
, are followed by a variable number of length bytes, and are then
followed by their contents. However, for constructed types, the contents themselves
are further ASN.1-encoded tags. Sequences are identified by tag 0x30
, and sets are
identified by tag 0x31
. Any tag
value whose sixth bit is 1
is a constructed tag and
the parser must recognize that it contains additional ASN.1-encoded data.