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robert@tochman-szewc.de)


Main problem with revert
People don't do atomic changes so reverting stuff is painful.

 This time around I will talk about rebasing and when you don't want to use it.
We are basically going to take the patch of the change from C4 and reapply it on top of C3.
$ git checkout experiment
$ git rebase master
$ git checkout master
$ git merge experiment
(...) rebasing makes for a cleaner history. If you examine the log of a rebased branch, it looks like a linear history: it appears that all the work happened in series, even when it originally happened in parallel.
Let's say we want to apply changes from client
branch to master
branch but not all the changes from server
branch.
git rebase --onto master server client
This basically says, “Take the client branch, figure out the patches since it diverged from the server branch, and replay these patches in the client branch as if it was based directly off the master branch instead.”
git rebase master server
Do not rebase commits that exist outside your repository.
We clone a repository and do some work on it.
Someone else did some work including a merge and pushed it to the remote server. You pulled the changes and merged them.
Now this smartass decided to rebase his work and force pushed it to the server.
If you git pull
this you will get something like that
Not sure why you would want this but why not.
Dead simple, might not work in some extreme cases. If you are not sure then go with this.
Presented by Vincent Driessen in 2010, makes my head hurt.
Sure mate, give me two hours or so.
Apparently GitFlow is harmful so Adam Ruka proposed something simpler.
I didn't use that so I won't comment on it.
Tell me your secrets .git directory!
ls -F1 .git
branches/
config
description
HEAD
hooks/
info/
objects/
refs/
config
- file contains your project-specific configuration optionsHEAD
- points to the branch we are onindex
- stores your staging area informationhooks
- directory contains your client- or server-side hook scriptsinfo
- keeps a global exclude file for ignored patterns that you don’t want to track in a .gitignore
fileobjects
- stores all the contentrefs
- stores pointers into commit objectsObject is basically anything you put into Git. Once something is stored Git gives you a unique key that you can use to retrive it. We can use git hash-object
to create new data object and manually store it
$ git init test
Initialized empty Git repository in /tmp/test/.git/
$ cd test
$ find .git/objects
.git/objects
.git/objects/info
.git/objects/pack
$ find .git/objects -type f
$ echo 'test content' | git hash-object -w --stdin
d670460b4b4aece5915caf5c68d12f560a9fe3e4
$ find .git/objects -type f
.git/objects/d6/70460b4b4aece5915caf5c68d12f560a9fe3e4
It's going to be garbage. Use git cat-file
instead.
$ git cat-file -p d670460b4b4aece5915caf5c68d12f560a9fe3e4
test content
$ echo 'version 1' > test.txt
$ git hash-object -w test.txt
83baae61804e65cc73a7201a7252750c76066a30
$ echo 'version 2' > test.txt
$ git hash-object -w test.txt
1f7a7a472abf3dd9643fd615f6da379c4acb3e3a
find .git/objects -type f
.git/objects/1f/7a7a472abf3dd9643fd615f6da379c4acb3e3a
.git/objects/83/baae61804e65cc73a7201a7252750c76066a30
.git/objects/d6/70460b4b4aece5915caf5c68d12f560a9fe3e4


Networks
Settings
HTsense
Network Settings
Wireless network connection
Saving changes will reboot the device
Settings
IP Address
Use DHCP
Yes
No
IP Address
Network Mask
Gateway
Mqtt Server
Use MQTT
Yes
No
MQTT Server Url
MQTT Id


This URL is already public on Codever. You can still save it as private and give it a thumbs up to promote it


--- title: OptSeq Trial keywords: fastai sidebar: home_sidebar summary: "Scheduling Optimization Solver Trial " description: "Scheduling Optimization Solver Trial " nb_path: "index.ipynb" ---
!git clone https://github.com/mikiokubo/optseqtrial.git
Move to optseq trial directry:
cd optseqtrial
Change mode of execution file
for linux (Google Colab.)
!chmod +x optseq-linux
for Mac
!chmod +x optseq-mac
Import package and write a code:> from optseqtrial.scop import *
!pip install plotly pandas numpy matplotlib
See https://mikiokubo.github.io/optseqtrial/ and https://www.logopt.com/optseq/
Here is an example.
from optseqtrial.optseq import *
"""
Example 1
PERT
file name: Example1.py
Copyright Log Opt Co., Ltd.
Consider a 5-activity problem with precedence constraints between the activities.
Such a problem is called PERT (Program Evaluation and Review Technique).
The processing times (durations) of the activities are kept in the dictionary
duration ={1:13, 2:25, 3:15, 4:27, 5:22 }.
Precedence constraints are given by:
Activity 1 -> Activity 3; Activity 2 -> Activity 4;
Activity 3 -> Activity 4; and Activity 3 -> Activity 5.
The objective is to find the maximum completion time (makespan) for all 5 activities.
"""
model = Model()
duration = {1: 13, 2: 25, 3: 15, 4: 27, 5: 22}
act = {}
mode = {}
for i in duration:
act[i] = model.addActivity("Act[{0}]".format(i))
mode[i] = Mode("Mode[{0}]".format(i), duration[i])
act[i].addModes(mode[i])
# temporal (precedense) constraints
model.addTemporal(act[1], act[3])
model.addTemporal(act[2], act[4])
model.addTemporal(act[2], act[5])
model.addTemporal(act[3], act[4])
model.Params.TimeLimit = 1
model.Params.Makespan = True
model.Params.TimeLimit = 1
model.Params.Makespan = True
model.optimize()


Development
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exit
—end program execution#include <stdlib.h> void exit(int code);
Description
Use exit
to return control from a program to the host operating
environment. Use the argument code to pass an exit status to the
operating environment: two particular values, EXIT_SUCCESS
and
EXIT_FAILURE
, are defined in `stdlib.h
' to indicate success or
failure in a portable fashion.
exit
does two kinds of cleanup before ending execution of your
program. First, it calls all application-defined cleanup functions
you have enrolled with atexit
. Second, files and streams are
cleaned up: any pending output is delivered to the host system, each
open file or stream is closed, and files created by tmpfile
are
deleted.
Returns
exit
does not return to its caller.
Portability
exit
, and specifies that EXIT_SUCCESS
and
EXIT_FAILURE
must be defined.
Supporting OS subroutines required: _exit
.


The state VRA dashboards allow you to explore districts in terms of their history of offering effective opportunity to minority voters to elect candidates of choice. We have pre-computed some racially polarized voting statistics in order to facilitate this exploration. In particular, we use ecological inference (EI) to identify the minority candidates of choice in historical statewide elections. Our EI runs are done at the statewide level using eiPack (a Bayesian hierarchical model for RxC inference). The confidence in correctly identifying the candidate of choice depends on the number of times out of 1000 draws that the candidate had the most votes by the minority group. We also weight more recent elections more heavily, and we put twice as much weight on elections in which the candidate of choice is themselves identified as part of the minority group in question. This is in keeping with the way VRA attorneys treat some elections as more probative (providing more persuasive evidence). For details about the construction of the “effectiveness score,” see the preprint by Becker et al.
When you’re drawing maps in the module, you can see the electoral history of the district as you draw by going to the VRA tab and selecting the district under “District details.” We have colored successful primary elections green. Success for the minority candidate of choice is assessed in a primary when that candidate either (a) receives a majority of votes in the district you drew in that primary, or (b) comes in first or second in the primary, but no candidate receives a majority. Below that are tables showing the outcomes in the run-off and general elections for those contests, if there was one.
In addition to the vote shares, we also show a “group control” factor. This is the estimated share of the candidate’s support that came from minority voters, again using EI outputs.


{% extends "soc/base.html" %} {% comment %} Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. {% endcomment %} {% load forms_helpers %} {% block body %}
Invitation Message:
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If you wish to accept this invitation please click the Accept button and fill out the required information. If you wish to reject this invitation please click the Reject button, this invitation will then disappear from your invitation list.


Physical state is described by kets in a Hilbert space. We need to specify a complete basis {} to do calculations.
Operators are given by Hermitian operators; A measurement of the variable will yield one of the eigenvalues with the probability
And the state of the system will change to .
The state vector obeys the Schrödinger equation,
where is the Hamiltonian operator.
The logic here is that we first find the way to describe a system, then think about how to find out the information we need from the state vector and also find the evolution of the state vector. Then we need the operator and Schrodinger equation. Finally, we would like to relate the theory to experiments, and it comes the measurement postulate.
Later we will need the relation between position and momentum, which becomes the fourth postulate.
How to solve the evolution of a system? We just define a magical operator, propagator
This operator just gives us the evolution of state vector! Wait, can we write down the explicit expression of it?
Let’s find out. The only thing we know about the evolution of a state vector is the third postulate up there.
Looks familiar? This just gives us a exponential result, if the Hamiltonian is time independent.
We can prove that this operator is Unitary because is Hermitian.
This is just the abstract representation, we work in some basis, and the most convenient basis is the eigenstates of Hamiltonian, { },
And we are going to use
from now on. (Well, only on discrete eigenvalues ones.)
(See that? Identity does the work again.)
Summarize here.
Define basis.
Orthonormal:
braket{x}{x’}=delta(x-x’)
Complete:
int braket{x’}{x’} d x’ = mathbb{I}
Define position operator.
And in {} basis, this operator becomes a function, which is
Find state vector in {} basis.
And we are interpreting as probability density.
Calculate probability of a measurement. Taking as an example.
To find the momentum operator, we need to check the relation between momentum and position before we just randomly define one. Truth is, we have a fourth postulate states the relation between them.
The commutator of , is
Find momentum operator in position basis {}.
And write out the commutator and use the relation of delta function , we find out the momentum operator in {} basis,
Let’s talk physics. What does that operator mean? We need to see what the result is when momentum operator is applied to a state. And remember we would work in {} basis.
Integrate by parts, we will find the expression. (I am having a problem finding the right answer.)
Eigenfunction for momentum.
Again, we are going to project it on the {} basis,
where is the eigenstates in {} basis, we call it .
The solution is
This constant C is found by the normalization condition,
The final results should be
Find the dynamics of free particles in quantum mechanics. Find the propagator and everything solves. The hamiltonian for a free particle is
We argue here that the eigenvectors of momentum are also the eigenvectors of this hamiltonian. And we can easily guess the eigenvalues are . So the propagator is
But that is too abstract to use, we can find the expression in {} basis.
Always start with the propagator for time independent Hamiltonian.
For cases that Hamiltonian with discrete eigenvalues,
If the initial state is just one of the eigenstates of Hamiltonian, say the mth one (normalized),
Well, that phase factor doesn’t have any effect for the topic we discuss. So our time evolution will stay on the same state forever.
The same thing happens for continuous cases.
So our task is simplified to solve the eigensystem of Hamiltonian, which is
Potential in a box
Hamiltonian
Dynamic equation
We are happy to work in {} basis,
Put the Hamiltonian in, and remember that in position basis
the equation of motion becomes
Boundary conditions
Guess the Solutions
Find the wavenumber k, by putting the assumed solutions into equation of motion
Since we can always merge the negative into the constants, it is fine to use
At x=0,
This gives us .
At ,
This leads to
Since gives us a 0 wave function, we would just drop . For the same reason why we drop the negative values of k, we would drop all the negative values of n. This BC gives us the possible values of energy because wavenumber k is related to energy,
with
Normalization as the last constraint for the last undetermined parameter,
Estimation
- Find the expression for energy using dimensional analysis.
- Using uncertainty relation to estimate the expression for energy.
Comments
- Why is the solution quantized?
- Too many constraints. BCs + normalization.
- Why do the n in the solution goes into the expression for energy?
- Have a look at the kinetic energy term, the derivative does it.
- What’s so weird?
- For , no particles found at . And so on.
Generally, there are two ways of interpreting a transformation.
Here in QM, passive means transform the operator , while active means change the state . Suppose we have a system , an operator , a transformation .
Transformation is identical to because they give the same observation results. The first one is called active, while the second one is called passive.
Act on momentum eigenvectors,
Physics: Parity changes the coordinate, so the direction of momentum is also changed.
Math:
Change coordinate from x to -x,
Hermitian,
Unitary
Inverse of parity
Eigensystem of parity.
Apply another operator
So, * Eigenvalues: 1, -1; * Eigenvactors: Even function, Odd function
Parity applied to operators a. Apply to position operator,
Proof:
Apply to momentum operator,
Proof: Similar to the previous one, just change x basis to momentum basis.
Symmetry related to Hamiltonian.
When this happens, parity of Hamiltonian won’t change the wave function. Or the wave function should have an specific parity for 1D problem.
Schrödinger equation and its adjoint
For any observable ,
This is called Ehrenfest’s Theorem.
Suppose we have a system with Hamiltonian
We need to figure some commutators first.
Position average
We are familiar with this in classical mechanics.
Momentum average
In classical mechanics, the derivative of potential is force. And the result is just like Newton’s 2n Law except the right hand side is not exactly like a force which should be .
Suppose the potential area is fairly small and distributed around some coordinate , we can do Taylor expansion around .
If the uncertainty is small enough, every term except the first one becomes small. So to the lowest order, average of potential is approximately the potential at .
Similarly, the average of first derivative of potential is approximately .
These gives us a hint for the previous result we got for the time evolution of average momentum. The result reduces to classical mechanics one as long as we keep the lowest order of Taylor expansion. Those higher order terms show the quantum effect.
We can see deeper into Ehrenfest’s Theorem through Heisenberg Picture of quantum mechanics.
Pictures are the ways we look at the evolution of systems.
In Schrödinger picture the states are evolving with time.
And for time independent Hamiltonian,
In Heisenberg Picture, the states do not change with time.
and of course the initial is the same with Schrödinger Picture,
How do we relate to Heisenberg Picture to Schrödinger Picture? Through investigation of observables. We should have the same observation results in both Pictures.
This can be easily proved by throwing every definition need in to it. We also need the following equations.
And REMEMBER that propagator commute with time independent Hamiltonian, so
So this Ehrenfest’s Theorem can also be written as
We can define
which is the time derivative of operator in Heisenberg Picture.
Reminder: The time derivative of an observable (average) depends not only the time derivative of itself, but also the commutator of the observable and Hamiltonian.
We will show why it is better to work in Heisenberg Picture to show the meanings of Ehrenfest’s Theorem.
Suppose we have a Hamiltonian in Heisenberg Picture,
Time derivative of position operator
Time derivative of momentum operator
So the operator in Heisenberg Picture just have a sense of the physical quantities in classical mechanics. That’s why we like it.
We say a observable is conserved if the corresponding operator commutes with Hamiltonian,
1. Energy Hamiltonian always commutes with itself.
If Hamiltonian is time independent, then energy is conserved. (If Hamiltonian is tide dependent, energy is not conserved. This is kind of obvious in classical mechanics.)
We can see this by looking at a simple example.
Assume we have a system with energy eigenstates , and initially,
So
We can calculate the expectation value of some operator ,
If are also the eigenvectors of , then
And the expectation value
The important thing is that the time dependence of this expectation value actually arise from this term
As it is so important, we call
Bohr frequency.
Many systems can reduce to it. Use Taylor expansion for the potential and redefine parameters we will find harmonic oscillators in the potential.
Hamiltonian for 1D is
We can use polynomial expansion for part of the solution.
First step is always finding out the characteristic length scale and characteristic energy scale. Assume we have an characteristic length and characteristic energy scale . Through uncertainty principle we know only for dimensional analysis
Kinetic energy and potential energy have the same dimension
so we have
with . A dimensional analysis shows that .
Now we can define dimensionless variables,
The time independent Schrodinger equation in position basis is
Using those characteristic scales, we can rewrite this equation into a dimensionless one, which is
in which .
We need to look at the behavior of the solutions before we can guess a proper general solution.
, we have . Solution to this equation is .
The solution of the the equation should be in the form
Insert this to time independent Schrodinger equation, we can get the equation of .
The simplest form of is polynomial,
Put this back to equation of u, we can get the recursion relation,
If and are given, we can get the whole polynomial.
Notice that we have definite parity here. So branch vanish because they are even.
is set by the normalization condition.
The series blow up if it doesn’t terminate. So we need to terminate the series using the following relation,
Then we have the energy levels, which is .
By picking proper normalization factor, we can write down the energy levels and corresponding wave functions. In fact, this polynomial can be found in mathematical phyisics books.
Find out the characteristic length and energy
One way to get the intrinsic length without writing down the dimensions of each quantity is to use the following relation
Or if we are given the Hamiltonian in terms of ,
Rewrite the Hamiltonian
Now we can define , which is just like an operator for (energy) quanta numbers.
An impoertan relation is
The eigen equation for this weird energy quanta number operator is
To find out the eigen state of and , we try this,
This means and are also eigen states of .
The next step is very crucial. Since and are eigen states of , we know that
Then our next step is to find out what are and exactly.
They way of finding them is to use invariant quantities, such as the inner product. Here we use average of operator.
Final step is to constrain on , which should be integrals. This is true because we need a cut off for the eigen equation of , whose avarage is n and it should be non negative.
leads to . To get this proper cut off, should be integer because if it’s not, according to
n can go to negative numbers. If n is positive integer,
show an cut off at 0.
We can even find out the wave functions of these by finding the ground state first and apply to the ground state.
Ground state in basis can be found by solving the differential equation,
Very important:
- The Hermitian conjugate of is .
- Hermitian conjugate of is . This can be a trap. Hermitian conjugate is the complex conjugate AND TRANSPOSE!
In phase space, the trajectory of phase space points ( { and } ) is on a circle of radius .
Key points:
Apply Ehrenfest theorem to annihilation operator,
Excellent. Now we can solve out , which is
Take the hermitian conjugate,
With these two operators, we can find out the average of and because
we have
We can have a look at these two averages,
It is obvious that the average reduces to classical case if . But this is too strong for a semiclassical limit.
Coherent state is the eigenstate of creation operator. Its wave package has the smallest spread allowed by quantum mechanics.
The most special part about coherent state is that the system stays on coherent state if it start with coherent state.
Take the hermitian conjugate,
At , we have
That is to say, energy should be
Initially, we also have
This means
(This result)
(To Be Finished...)


Language of Controversy
American Psycho
Animal Farm
Brave New World
Frankenstein
Grapes of Wrath
Lolita
To Kill A Mockingbird
Tropic of Cancer
Ulysses
White Niggers of America
Created By: Andy Lin, Eugenia Tan, Norberto Sanchez, and Stella Lee
Created for CMPS 165: Data Programming for Visualization, Winter 2015
Instructor: Suresh K. Lodha
Files Submitted:
- index.html
- langStyle.css
- lang.js
- d3.layout.cloud.js
- jquery-1.11.1.min.js
- jquery-ui.min.js
References:


Hello, I am very sorry to embarrass you with this email as I did not mean to intrude in your privacy if not for the peculiar situation I have found myself. As you read this, don't feel sorry for me, because it is the destiny of everyman to die someday. I am Jaron Abbas an Israeli by birth and a business merchant based in Scotland. I have been diagnosed with esophageal cancer. It has defiled all forms of medical treatment, and right now I have only about a few months to live, according to medical experts. I regret that I have not particularly lived my life so well, as I never really cared for anyone (not even myself), but my trade. Though I am very well to do, I was never open handed; I was always hostile to people and regarded them like they never had hopes of becoming as successful as myself. Now I know that there is a lot more to life than just prosperity. I believe that when I am given a second chance to come to this world, I would live my life a different way from how I have lived it. Now that death is imminent, I have willed and given most of my belongings to immediate and extended family members, as well as a few close friends. I want Allah to be merciful to me and accept my soul. Hence I have decided to support charity work; this is what I want to be remembered for. So far, I have been able to reach out to a few charity organizations in the Singapore, Algeria and Malaysia. Now that my health has deteriorated so badly, I cannot do this myself anymore. I once asked members of my family to aid me in giving of alms to those organizations catering for the less privileged in Bulgaria and Pakistan; they refused and kept the resources to themselves. Hence, I do not trust them anymore, as they seem not to be contempt with what I have left for them. The last of my belonging which no one knows of, is the huge deposit of Two Million, Five Hundred Thousand US dollars that I have in a safe keeping company abroad, which I will want you to secure and bestow to charity organizations. You can reach me on my email address<EMAIL_ADDRESS>Jaron Abbas


Welcome to My First Website!
My First Post
This is my first post!
My Second Post!
This is my second post and this one has a
link
!


WITNESS LIST Judicial Affairs Committee April 23, 2001-2:00P HB 2731 For: Burwell, Judge Gladys (Self) Registering, but not testifying: For: Herman, Guy (Self and Judges of the Statutory Probate Courts) HB 2733 Registering, but not testifying: For: Armstrong, Shirley (Self and City of Grand Prairie) Brook, Sue (County Treasurers Ass'n) Caballero, Rosie (City of Coppell/TX Court Clerks Ass'n) Carr, Snapper (Texas Municipal League) Herman, Guy (Self) Hynson, Kathy (County Treasurers Ass'n) Paniaga, Joe (Fort Worth City Council) Porter, Quentin (TX Municipal League/TX Court Clerks Ass'n/TX Municipal Court Ass'n) Wood, Vivian (Self) Woolbrueck, Bonnie (Self and SCR 12 Workgroup) HB 2917 For: Cox, Kevin E. (DFW International Airport) Against: Boyle, Matthew (City of Grapevine) HB 3000 For: Mitchell, Seth (Bexar County Commissioners Court) HB 3671 For: Boyle, Matthew (Town of Trophy Club) HB 3678 Registering, but not testifying: For: Burwell, Judge Gladys (Self) Criss, Judge Susan (Self) Dibrell III, Judge C.G. (Self and County Courts of Galveston County) Herman, Guy (Self and Judges of the Statutory Probate Courts) Mora, Cindy (Self) Quiroga, Bonita (Self) SB 960 Registering, but not testifying: For: Haenchen, M.S. "Frost" (Texas Association of Judges) Lee, Donald (Texas Conference of Urban Counties) SB 1407 Registering, but not testifying: For: Herman, Guy (Judges of the Statutory Probate Courts)


I've been using Diphenhydramine for awhile, usually taking doses ranging from 250 mg. to 1,500 mg. I had done it enough times that on 500 mg. I could act completely normal, I did a take home test once on this much and got the highest score in the class. This weekend was different though, my parents had searched my room and discovered over 100 Diph pills, DXM products, and Ephedrine tablets two weeks earlier and I hadn't done it since then. They had taken my money but I found enough quarters when my friend was over to get one box of 32 50 mg. gelcaps. We bought it and I took 20, she took 12. This was at 9:00.
It kicked in around 9:30. I remember being extremely confused, I kept asking my friend to go downstairs which was stupid since my parents were there and we couldnt even stand up. This is the last thing I remember. The rest of the story is from what my parents and my friend told me, and the small parts I do remember. My friend told me she wanted me to go outside cause she wanted a cig. I got up and fell the floor. My eyes closed and I started to shake really hard. She was hallucinating at this point but still did everything she could to help me, she tried waking me up and got to the point of slapping me. Then my eyes opened and foam and blood starting coming out of my mouth.
My brother came into the room to check on us and found me looking like this. He woke my parents and told them to come look at me.
I spoke of nothing but a sound kind of like 'Eh uhhh huh me maa do' Just weird words. They brought me to the hospital, I was in the emergency room with 5 nurses all trying to hold me down and figure out what I was on. My parents left because they remembered my friend was still at my house. I got my stomache pumped, I ended up throwing up all over myself during this time. And they gave me charcoal and a drug to help flush it out of my system. I also had a tube put in me so I could pee.
This is when I began to speak, my first sentence was to turn the tv off, which it was. My mom came back with my friend and they asked me if i knew who she was, I said her name and just stared at her for about 10 minutes until they decided to leave.
I woke up the next morning having no idea I was even at the hospital, I noticed the tube between my legs and tried to pull it out but realized whatever it was wanted to stay there. They came in to give me breakfast and it all began to sink in. I ate everything they gave me, and went back to sleep.
This was Friday night, I had to stay there till Sunday. I have to see a therapist every week and I'm soon going to see a therapist just for the drug use.
I have no idea what caused this, I had taken the pills so many times in higher doses with nothing going wrong. I guess It was because I had waited two weeks and then took the entire dose in about a minute. Im not sure, but I'll hopefully never want to take them again. I never thought this would happen to me, but It did. And now I know that it can, I hope everyone that does this realizes it could take their life...and they have to be willing to realize that can be the consequence.
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.


Click on un-shaded nodes (circles) to expand the tree. Click on bolded green text to re-center the tree.


Tests that Tracing agent returns a session id upon a start that is matching one issued in trace events.


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Money Play. Should Red double? If doubled, should White take?
pips Red=18 White=20
(CorrectAnswer= 0/0, ErrorScore= 0)
Nearly a three-roll position but if either player rolls badly it could be a four-roll position.
In positions like this if the trailer is behind more than a pip then that is normally too much in such a short race and that is the case here. This is a clear drop. Move one of the White checkers from the 5-pt to the 4-pt and it becomes a take.
I recommend reading Walter Trice's Boot Camp to get a better understanding of bear-off doubling decisions. You can also download my “Backgammon Races” monograph from the ‘downloads' section of this website.
In positions like this if the trailer is behind more than a pip then that is normally too much in such a short race and that is the case here. This is a clear drop. Move one of the White checkers from the 5-pt to the 4-pt and it becomes a take.
I recommend reading Walter Trice's Boot Camp to get a better understanding of bear-off doubling decisions. You can also download my “Backgammon Races” monograph from the ‘downloads' section of this website.
Cube analysis 2-ply cubeless equity +0.546 (Money: +0.524) 0.675 0.240 0.008 - 0.325 0.072 0.001 Cubeful equities: 1. Double, take +0.989 2. Double, pass +1.000 (+0.011) 3. No double +0.705 (-0.284) Proper cube action: Double, take


- ATTENTION: This checklist is for ADULT-SIZED maternal patients ONLY
- Prepare for crystalloid and blood product resuscitation
- Obtain vascular access with 2 large-bore IVs
- Call Blood Bank to activate Massive Transfusion with PRBC:FFP:platelet in a 4:2:1 ratio. Ask blood bank to prepare next round when each round is picked up.
- Give calcium chloride ADULT DOSE 200-500mg/Unit PRBCs, in separate line. Monitor for hyperkalemia
- Consider giving tranexamic acid early
- If refractory hemorrhage, consider fVIIa and cryoprecipitate or fibrinogen concentrate
- Consider Uterotonics:
- Methylergonovine (Methergine) ADULT DOSE 0.2mg IM NOT IV, may repeat in 2 hours (AVOID in HTN and pre-eclampsia)
- Carboprost (Hemabate) ADULT DOSE 0.25mg IM NOT IV, may repeat q 15 minutes up to 8 doses (AVOID in asthma, pulmonary hypertension)
- Misoprostol ADULT DOSE 800-1000 MICROgrams rectal
- Call for rapid transfuser or pressure bags
- Warm room, patient and fluids (NOT platelets)
- Send CBC, PT/PTT/INR, fibrinogen, calcium, K, ABG
- Consider Hemostatics:
- Tranexamic acid ADULT DOSE 1g
- If low fibrinogen, give cryoprecipitate ADULT DOSE 10 units or Fibrinogen concentrate
- If refractory hemorrhage, consider factor VIIa 90 MICROgrams/kg, up to 3 doses
- If refractory hemorrhage, consider factor VIIa MICROgrams (90 MICROgrams/kg), up to 3 doses
- Consider:
- Arterial line
- If awake, convert to general anesthesia
- Embolization in IR
- TEG/ROTEM monitoring
- Possible OB interventions
- Intrauterine balloon
- External uterine compression sutures
- Uterine artery ligation
- Hysterectomy


Democracy
True Democracy
We in the west have a certain conceptialization of what democracy is and how it functions. But is this really enough for a fully democractic government?
In this paper, we delve into the historical roots of democracy, and explore some alternative systems of determining the intent behind a democratic system.


Comments
-
Greg Hurrell
There's no expiry. It's a fully unlocked version, and doesn't require a serial number to be activated.
It is compatible with Mac OS X 10.5 Leopard.
There is a 3.5 version currently in alpha, but it's affected by an Apple bug so I don't actually recommend that people use it. (See bug #640 for more details on the actual problem.) As such the 3.5 series is effectively on hold until Apple fixes things, and I've been working on 3.2.x/3.3 instead.
As the MacHeist promo version is a freebie, no upgrades are included.
-
Greg Hurrell
Hopefully that's answered your questions, so marking the ticket as closed. Please feel free to add further comments if you have other queries.
Add a comment
Comments are now closed for this issue.


This application is good for testing code that reads from the network, without having to run faceLAB/DSS all the time, since you can run your client, then run log2net and see if the client is reading the data OK.
Example 1:
log2net c:/data/subject23 2044
Merges the data from the logfiles in c:/data/subject23, and send the resulting packets to localhost, port 2044.
Example 2:
log2net c:/data/subject42 simulator.local
Merges the data from the logfiles in c:/data/subject42, and send the resulting packets to simulator.local, port 2001.
The sendData function creates a .Net DatagramSocket connected to a target address and calls sendEngineOutputDataFile with the filepath of the directory containg log files and the opened socket.
static void sendData(string filepath, string host, int udpPort) { InetAddress address = new InetAddress(udpPort, host); using (DatagramSocket socket = new DatagramSocket()) { socket.ConnectSocket(address); Console.WriteLine("Connected to {0}, port {1}...", address.GetHostIP(), address.GetPort()); Console.WriteLine(@"Sending {0}\*.fll", filepath); sendEngineOutputDataFile(filepath, socket); } } // end of sendData
The sendEngineOutputDataFile opens an EngineOutputDataFileReader with providing a set of object types of interest and the deserializes objects from the multiple log files, serializes them into a buffer and sends them over the DatagramSocket.
static void sendEngineOutputDataFile(string dirpath, DatagramSocket socket) { VectorInt8 objectsToRead = new VectorInt8(); objectsToRead.Add((sbyte)TimingOutputData.THIS_OBJECT_ID); objectsToRead.Add((sbyte)HeadOutputData.THIS_OBJECT_ID); objectsToRead.Add((sbyte)EyeOutputData.THIS_OBJECT_ID); objectsToRead.Add((sbyte)WorldOutputData.THIS_OBJECT_ID); objectsToRead.Add((sbyte)FeatureSetsByCamera.THIS_OBJECT_ID); objectsToRead.Add((sbyte)CustomEventOutputData.THIS_OBJECT_ID); objectsToRead.Add((sbyte)GPSOutputDataV2.THIS_OBJECT_ID); using (EngineOutputDataFileReader reader = new EngineOutputDataFileReader()) { reader.OpenFiles(objectsToRead, dirpath); VectorUInt8 buffer = new VectorUInt8(); while (!reader.EndOfData()) { EngineOutputData data = reader.ReadData(); buffer.Clear(); data.Serialize(buffer); socket.SendDatagram(buffer); Console.Write('.'); Console.Out.Flush(); System.Threading.Thread.Sleep(15); } } } // end of sendEngineOutputDataFile
Example 1:
logconverter test.fll
Example 2:
logconverter c:/faceLAB/logfiles/head.fll
Example 3:
logconverter test.fll head.fll eyes.fll
The program is designed to be a starting point for an application that needs to receive faceLAB/DSS data over a UDP network connection.
Example 1:
netclient
Example 2:
netclient 2010
Refer to the EngineOutputData header file, or the HTML documentation for detailed information about the EngineOutputData contents.


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com.adobe.xmp
Interface XMPDateTime
- All Superinterfaces:
- java.lang.Comparable
public interface XMPDateTime
- extends java.lang.Comparable
The XMPDateTime
-class represents a point in time up to a resolution of nano
seconds. Dates and time in the serialized XMP are ISO 8601 strings. There are utility functions
to convert to the ISO format, a Calendar
or get the Timezone. The fields of
XMPDateTime
are:
- month - The month in the range 1..12.
- day - The day of the month in the range 1..31.
- minute - The minute in the range 0..59.
- hour - The time zone hour in the range 0..23.
- minute - The time zone minute in the range 0..59.
- nanoSecond - The nano seconds within a second. Note: if the XMPDateTime is
converted into a calendar, the resolution is reduced to milli seconds.
- timeZone - a
TimeZone
-object.
DateTime values are occasionally used in cases with only a date or only a time component. A date
without a time has zeros for all the time fields. A time without a date has zeros for all date
fields (year, month, and day).
| Methods inherited from interface java.lang.Comparable |
compareTo |
getYear
int getYear()
- Returns:
- Returns the year, can be negative.
setYear
void setYear(int year)
- Parameters:
year
- Sets the year
getMonth
int getMonth()
- Returns:
- Returns The month in the range 1..12.
setMonth
void setMonth(int month)
- Parameters:
month
- Sets the month 1..12
getDay
int getDay()
- Returns:
- Returns the day of the month in the range 1..31.
setDay
void setDay(int day)
- Parameters:
day
- Sets the day 1..31
getHour
int getHour()
- Returns:
- Returns hour - The hour in the range 0..23.
setHour
void setHour(int hour)
- Parameters:
hour
- Sets the hour in the range 0..23.
getMinute
int getMinute()
- Returns:
- Returns the minute in the range 0..59.
setMinute
void setMinute(int minute)
- Parameters:
minute
- Sets the minute in the range 0..59.
getSecond
int getSecond()
- Returns:
- Returns the second in the range 0..59.
setSecond
void setSecond(int second)
- Parameters:
second
- Sets the second in the range 0..59.
getNanoSecond
int getNanoSecond()
- Returns:
- Returns milli-, micro- and nano seconds.
Nanoseconds within a second, often left as zero?
setNanoSecond
void setNanoSecond(int nanoSecond)
- Parameters:
nanoSecond
- Sets the milli-, micro- and nano seconds.
Granularity goes down to milli seconds.
getTimeZone
java.util.TimeZone getTimeZone()
- Returns:
- Returns the time zone.
setTimeZone
void setTimeZone(java.util.TimeZone tz)
- Parameters:
tz
- a time zone to set
getCalendar
java.util.Calendar getCalendar()
- Returns:
- Returns a calendar (only with milli second precision).
getISO8601String
java.lang.String getISO8601String()
- Returns:
- Returns the ISO 8601 string representation of the date and time.
Copyright © 2006-2007 Adobe Systems Inc. All Rights Reserved.


Defines | |
| #define | ANSI_ESCAPE_SEQUENCE(c) "\33[" c |
| #define | ESC_RESET ANSI_ESCAPE_SEQUENCE("0m") |
| #define | ESC_BOLD_ON ANSI_ESCAPE_SEQUENCE("1m") |
| #define | ESC_ITALICS_ON ANSI_ESCAPE_SEQUENCE("3m") |
| #define | ESC_UNDERLINE_ON ANSI_ESCAPE_SEQUENCE("4m") |
| #define | ESC_INVERSE_ON ANSI_ESCAPE_SEQUENCE("7m") |
| #define | ESC_STRIKETHROUGH_ON ANSI_ESCAPE_SEQUENCE("9m") |
| #define | ESC_BOLD_OFF ANSI_ESCAPE_SEQUENCE("22m") |
| #define | ESC_ITALICS_OFF ANSI_ESCAPE_SEQUENCE("23m") |
| #define | ESC_UNDERLINE_OFF ANSI_ESCAPE_SEQUENCE("24m") |
| #define | ESC_INVERSE_OFF ANSI_ESCAPE_SEQUENCE("27m") |
| #define | ESC_STRIKETHROUGH_OFF ANSI_ESCAPE_SEQUENCE("29m") |
| #define | ESC_FG_BLACK ANSI_ESCAPE_SEQUENCE("30m") |
| #define | ESC_FG_RED ANSI_ESCAPE_SEQUENCE("31m") |
| #define | ESC_FG_GREEN ANSI_ESCAPE_SEQUENCE("32m") |
| #define | ESC_FG_YELLOW ANSI_ESCAPE_SEQUENCE("33m") |
| #define | ESC_FG_BLUE ANSI_ESCAPE_SEQUENCE("34m") |
| #define | ESC_FG_MAGENTA ANSI_ESCAPE_SEQUENCE("35m") |
| #define | ESC_FG_CYAN ANSI_ESCAPE_SEQUENCE("36m") |
| #define | ESC_FG_WHITE ANSI_ESCAPE_SEQUENCE("37m") |
| #define | ESC_FG_DEFAULT ANSI_ESCAPE_SEQUENCE("39m") |
| #define | ESC_BG_BLACK ANSI_ESCAPE_SEQUENCE("40m") |
| #define | ESC_BG_RED ANSI_ESCAPE_SEQUENCE("41m") |
| #define | ESC_BG_GREEN ANSI_ESCAPE_SEQUENCE("42m") |
| #define | ESC_BG_YELLOW ANSI_ESCAPE_SEQUENCE("43m") |
| #define | ESC_BG_BLUE ANSI_ESCAPE_SEQUENCE("44m") |
| #define | ESC_BG_MAGENTA ANSI_ESCAPE_SEQUENCE("45m") |
| #define | ESC_BG_CYAN ANSI_ESCAPE_SEQUENCE("46m") |
| #define | ESC_BG_WHITE ANSI_ESCAPE_SEQUENCE("47m") |
| #define | ESC_BG_DEFAULT ANSI_ESCAPE_SEQUENCE("49m") |
| #define | ESC_CURSOR_POS(L, C) ANSI_ESCAPE_SEQUENCE(#L ";" #C "H") |
| #define | ESC_CURSOR_UP(L) ANSI_ESCAPE_SEQUENCE(#L "A") |
| #define | ESC_CURSOR_DOWN(L) ANSI_ESCAPE_SEQUENCE(#L "B") |
| #define | ESC_CURSOR_FORWARD(C) ANSI_ESCAPE_SEQUENCE(#C "C") |
| #define | ESC_CURSOR_BACKWARD(C) ANSI_ESCAPE_SEQUENCE(#C "D") |
| #define | ESC_CURSOR_POS_SAVE ANSI_ESCAPE_SEQUENCE("s") |
| #define | ESC_CURSOR_POS_RESTORE ANSI_ESCAPE_SEQUENCE("u") |
| #define | ESC_ERASE_DISPLAY ANSI_ESCAPE_SEQUENCE("2J") |
| #define | ESC_ERASE_LINE ANSI_ESCAPE_SEQUENCE("K") |
The following files must be built with any user project that uses this module:
Escape code macros for ANSI compliant text terminals.
Example Usage:
printf("Some String, " ESC_BOLD_ON " Some bold string");
| #define ANSI_ESCAPE_SEQUENCE | ( | c | ) | "\33[" c |
Creates an ANSI escape sequence with the payload specified by "c".
| [in] | c | Payload to encode as an ANSI escape sequence, a ESC_* mask. |
| #define ESC_BG_BLACK ANSI_ESCAPE_SEQUENCE("40m") |
Sets the text background colour to black.
| #define ESC_BG_BLUE ANSI_ESCAPE_SEQUENCE("44m") |
Sets the text background colour to blue.
| #define ESC_BG_CYAN ANSI_ESCAPE_SEQUENCE("46m") |
Sets the text background colour to cyan.
| #define ESC_BG_DEFAULT ANSI_ESCAPE_SEQUENCE("49m") |
Sets the text background colour to the terminal's default.
| #define ESC_BG_GREEN ANSI_ESCAPE_SEQUENCE("42m") |
Sets the text background colour to green.
| #define ESC_BG_MAGENTA ANSI_ESCAPE_SEQUENCE("45m") |
Sets the text background colour to magenta.
| #define ESC_BG_RED ANSI_ESCAPE_SEQUENCE("41m") |
Sets the text background colour to red.
| #define ESC_BG_WHITE ANSI_ESCAPE_SEQUENCE("47m") |
Sets the text background colour to white.
| #define ESC_BG_YELLOW ANSI_ESCAPE_SEQUENCE("43m") |
Sets the text background colour to yellow.
| #define ESC_BOLD_OFF ANSI_ESCAPE_SEQUENCE("22m") |
Turns off bold so that any following text is printed to the terminal in non bold.
| #define ESC_BOLD_ON ANSI_ESCAPE_SEQUENCE("1m") |
Turns on bold so that any following text is printed to the terminal in bold.
| #define ESC_CURSOR_BACKWARD | ( | C | ) | ANSI_ESCAPE_SEQUENCE(#C "D") |
Moves the cursor to the left the given number of columns.
| #define ESC_CURSOR_DOWN | ( | L | ) | ANSI_ESCAPE_SEQUENCE(#L "B") |
Moves the cursor down the given number of lines.
| #define ESC_CURSOR_FORWARD | ( | C | ) | ANSI_ESCAPE_SEQUENCE(#C "C") |
Moves the cursor to the right the given number of columns.
| #define ESC_CURSOR_POS | ( | L, | |||
| C | ) | ANSI_ESCAPE_SEQUENCE(#L ";" #C "H") |
Sets the cursor position to the given line and column.
| #define ESC_CURSOR_POS_RESTORE ANSI_ESCAPE_SEQUENCE("u") |
Restores the cursor position to the last position saved with ESC_CURSOR_POS_SAVE.
| #define ESC_CURSOR_POS_SAVE ANSI_ESCAPE_SEQUENCE("s") |
Saves the current cursor position so that it may be restored with ESC_CURSOR_POS_RESTORE.
| #define ESC_CURSOR_UP | ( | L | ) | ANSI_ESCAPE_SEQUENCE(#L "A") |
Moves the cursor up the given number of lines.
| #define ESC_ERASE_DISPLAY ANSI_ESCAPE_SEQUENCE("2J") |
Erases the entire display, returning the cursor to the top left.
| #define ESC_ERASE_LINE ANSI_ESCAPE_SEQUENCE("K") |
Erases the current line, returning the cursor to the far left.
| #define ESC_FG_BLACK ANSI_ESCAPE_SEQUENCE("30m") |
Sets the foreground (text) colour to black.
| #define ESC_FG_BLUE ANSI_ESCAPE_SEQUENCE("34m") |
Sets the foreground (text) colour to blue.
| #define ESC_FG_CYAN ANSI_ESCAPE_SEQUENCE("36m") |
Sets the foreground (text) colour to cyan.
| #define ESC_FG_DEFAULT ANSI_ESCAPE_SEQUENCE("39m") |
Sets the foreground (text) colour to the terminal's default.
| #define ESC_FG_GREEN ANSI_ESCAPE_SEQUENCE("32m") |
Sets the foreground (text) colour to green.
| #define ESC_FG_MAGENTA ANSI_ESCAPE_SEQUENCE("35m") |
Sets the foreground (text) colour to magenta.
| #define ESC_FG_RED ANSI_ESCAPE_SEQUENCE("31m") |
Sets the foreground (text) colour to red.
| #define ESC_FG_WHITE ANSI_ESCAPE_SEQUENCE("37m") |
Sets the foreground (text) colour to white.
| #define ESC_FG_YELLOW ANSI_ESCAPE_SEQUENCE("33m") |
Sets the foreground (text) colour to yellow.
| #define ESC_INVERSE_OFF ANSI_ESCAPE_SEQUENCE("27m") |
Turns off inverse so that any following text is printed to the terminal in non inverted colours.
| #define ESC_INVERSE_ON ANSI_ESCAPE_SEQUENCE("7m") |
Turns on inverse so that any following text is printed to the terminal in inverted colours.
| #define ESC_ITALICS_OFF ANSI_ESCAPE_SEQUENCE("23m") |
Turns off italics so that any following text is printed to the terminal in non italics.
| #define ESC_ITALICS_ON ANSI_ESCAPE_SEQUENCE("3m") |
Turns on italics so that any following text is printed to the terminal in italics.
| #define ESC_RESET ANSI_ESCAPE_SEQUENCE("0m") |
Resets any escape sequence modifiers back to their defaults.
| #define ESC_STRIKETHROUGH_OFF ANSI_ESCAPE_SEQUENCE("29m") |
Turns off strikethrough so that any following text is printed to the terminal without a line through the center.
| #define ESC_STRIKETHROUGH_ON ANSI_ESCAPE_SEQUENCE("9m") |
Turns on strikethrough so that any following text is printed to the terminal with a line through the center.
| #define ESC_UNDERLINE_OFF ANSI_ESCAPE_SEQUENCE("24m") |
Turns off underline so that any following text is printed to the terminal non underlined.
| #define ESC_UNDERLINE_ON ANSI_ESCAPE_SEQUENCE("4m") |
Turns on underline so that any following text is printed to the terminal underlined.


{% include head.html %}
{% include browser-upgrade.html %} {% include navigation.html %}
video source:
coverr
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---
layout: post
title: 'Amazon.com: Ari Brouillette''s review of The Secret'
date: '2009-03-29T23:29:33+01:00'
tags: []
tumblr_url: http://backlog.robbevan.com/post/91026208/amazoncom-ari-brouillettes-review-of-the-secret
---
Amazon.com: Ari Brouillette's review of The Secret


THE BIG HIT
Release Date: April 24, 1998 Starring: Mark Wahlberg, Lou Diamond Phillips, Christina Applegate, Avery Brooks, Bokeem Woodbine, Lela Rochon, China Chow, Antonio Sabato Jr. Directed by: Kirk Wong Distributed by: Sony Pictures Entertainment / TriStar Pictures MPAA Rating: R (violence, pervasive language, some sexuality) URL: http://www.execpc.com/~kinnopio/reviews/1998/bighit.htm
John Woo, who is credited with plenty of action films in his twenty-five years in the motion picture industry, has a certain style of filmmaking that no matter how intense the direction is, it cannot be escaped. Similar to The Replacement Killers, another John Woo-produced/somebody else-directed action film (surprisingly about another hit man with a conscience), The Big Hit has an intensity and an off-the-cuff feel that reeks of John Woo. While this in itself is no problem, Director Kirk Wong feels the need to fight this Woo-ness, and instead of succumbing to the style of that particular filmmaker he tries to stretch his product into something else. Needless to say, that something else isn't as good.
The closest comparison to that something else is 1997's Grosse Pointe Blank (yet another hit man with a conscience), but that outstandingly comical film had a far more grown-up feel to it. Similarly, John Woo's most enjoyable films (Broken Arrow and Face/Off) retained a certain amount of maturity no matter what the tempo was. However, The Big Hit extends itself far beyond any barriers and is content to give the viewer some shoot-'em-up silliness. One of the running jokes in the movie is that the main character has an overdue rental of King Kong Lives, and even as buildings are exploding around him he risks life and limb to save the tape.
The main character is Melvin Smiley (Mark Wahlberg), whose role is as unlikely as his name. A hit man who can't stand the idea of anyone not liking him, he falls prey to his girlfriend's and his fianceť's requests for money. And of course, as a very good hit man, he's got lots of money to give. So even though he makes thousands, he's close to broke, and to remedy his situation he goes on a rogue assignment with fellow hit men Cisco (Lou Diamond Phillips) and Crunch (Bokeem Woobine). Unfortunately, the kidnappee (China Chow) for this particular job is the goddaughter of Paris (Avery Brooks), Melvin's boss. Infuriated at the transgression, Paris calls in Cisco to question him of his knowledge of the job, and in looking for the easy way out, Cisco pins it on Melvin.
None of the actors are particularly outstanding, save the possibilities of the bossy Phillips (Courage Under Fire) and the sensual Chow. Avery Brooks, whose role on TV's Deep Space Nine usually gives him quite a lot of gravity, is pawned off as a tightly wound lunatic who kills at will. The hangdog likes of Mark Wahlberg (Boogie Nights) can't sustain their novelty, and soon his acting is just as bad as the pacing. The movie's only high points are the take-no-prisoners action sequence at the beginning, and then the extended explosiveness of the finale. Other than that, the dry humor and the general wasted feel of the movie doesn't lend itself to anything great. Worth a look, but perhaps not for all types.
FINAL AWARD FOR "THE BIG HIT": 2.0 stars - a fair movie.
-- Craig Roush<EMAIL_ADDRESS>-- Kinnopio's Movie Reviews http://www.execpc.com/~kinnopio
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Terminology key
Fraction of samples: The fraction of the total number of samples that a feature must be observed in for that feature to be considered "core".
Frequency: The number of "core" features.
Fraction of features: The fraction of the total number of features that are "core" features.
Feature list: The list of "core" feature IDs and their total percentile frequencies.


{{questions[questions.length-1].theQuestion}} = {{answer}}
You got {{score}}/{{maxQuestions}}!
Hey, choose a Math Game.


|
| real(8) | min |
| |
| real(8) | max |
| |
| real(8) | stepsize |
| | It will be calculated as the difference between the first two elements in data, both in case of elements equally spaced as unequally spaced. More...
|
| |
| integer | npoints |
| |
| logical | isequallyspaced |
| |
| real(8), dimension(:), allocatable | data |
| |
Definition at line 41 of file Grid.f90.
| procedure grid_::grid::addition |
( |
| ) |
|
| procedure grid_::grid::additionfc |
( |
| ) |
|
| generic grid_::grid::assignment |
( |
| ) |
|
| procedure grid_::grid::at |
( |
| ) |
|
| procedure grid_::grid::checkequallyspaced |
( |
| ) |
|
| procedure grid_::grid::copy |
( |
| ) |
|
| final grid_::grid::destroy |
( |
| ) |
|
|
final |
| procedure grid_::grid::division |
( |
| ) |
|
| procedure grid_::grid::divisionfc |
( |
| ) |
|
| procedure grid_::grid::dv |
( |
| ) |
|
| procedure grid_::grid::exponentiation |
( |
| ) |
|
| procedure grid_::grid::exponentiationfc |
( |
| ) |
|
| procedure grid_::grid::first |
( |
| ) |
|
| procedure grid_::grid::fromarray |
( |
| ) |
|
| procedure grid_::grid::fromfile |
( |
| ) |
|
| generic grid_::grid::init |
( |
| ) |
|
| procedure grid_::grid::initdefault |
( |
| ) |
|
| procedure grid_::grid::isequalto |
( |
| ) |
|
| procedure grid_::grid::last |
( |
| ) |
|
| procedure grid_::grid::multiplication |
( |
| ) |
|
| procedure grid_::grid::multiplicationfc |
( |
| ) |
|
| generic grid_::grid::operator |
( |
| ) |
|
| generic grid_::grid::operator |
( |
| ) |
|
| generic grid_::grid::operator |
( |
| ) |
|
| generic grid_::grid::operator |
( |
| ) |
|
| generic grid_::grid::operator |
( |
| ) |
|
| procedure grid_::grid::resize |
( |
| ) |
|
| procedure grid_::grid::set |
( |
| ) |
|
| procedure grid_::grid::setunits |
( |
| ) |
|
| procedure grid_::grid::show |
( |
| ) |
|
| procedure grid_::grid::str |
( |
| ) |
|
| procedure grid_::grid::subtraction |
( |
| ) |
|
| procedure grid_::grid::subtractionfc |
( |
| ) |
|
| procedure grid_::grid::tofstream |
( |
| ) |
|
| procedure grid_::grid::translate |
( |
| ) |
|
| procedure grid_::grid::x |
( |
| ) |
|
| real(8), dimension(:), allocatable grid_::grid::data |
| logical grid_::grid::isequallyspaced |
| integer grid_::grid::npoints |
| real(8) grid_::grid::stepsize |
It will be calculated as the difference between the first two elements in data, both in case of elements equally spaced as unequally spaced.
Definition at line 44 of file Grid.f90.
The documentation for this type was generated from the following file:


A bunch of us are now working from home and also trying to work with the basic ingredients that we have.
There are A LOT of chefs currently out of work with no idea when they'll be able to work again.
Let's try support these people by booking a virtual dining experience.
It's a fun, educational and social activity while we're unable to leave our homes while at the same time puts some money in the pockets of those less fortunate.
You might even end up making something delicious instead of eating pasta and pesto. Again.


#include <Layouter.h>
Inheritance diagram for Layouter:
Definition at line 21 of file Layouter.h.
Public Member Functions | |
| virtual bool | layout (GroupField *groupField, bool resizeGroupField)=NULL |
| Layouts the fields of a group field and resizes the group field. | |
| virtual bool | layout (FieldsArea *fieldsArea, bool resizeArea)=NULL |
| Layouts all fields of a fields area. | |
| Layouter () | |
| Creates a new layouter. | |
| virtual | ~Layouter () |
| Destroys the layouter. |
|
|
Creates a new layouter.
|
|
|
Destroys the layouter.
|
|
|
Layouts the fields of a group field and resizes the group field.
Reimplemented in GridLayouter. |
|
|
Layouts all fields of a fields area.
Reimplemented in GridLayouter. |


A single content area with multiple panels, each associated with a header in a list.
Want to learn more about the tabs widget? Check out the API documentation.


Reduces interlacing artifacts on a buffer. When capturing a frame from an interlaced medium, it actually consists of two fields 1/60s apart (D1 NTSC example). If an encoder that does not support interlaced frames, such as H.264 BP or MPEG4 SP is used on this buffer, suboptimal quality and performance will likely result. This Smooth module helps preprocess the buffer for use with such an encoder. Typical usage (no error checking): More...
Data Structures | |
| struct | Smooth_Attrs |
| Attributes used to create a Smooth job. More... | |
Typedefs | |
| typedef struct Smooth_Object * | Smooth_Handle |
| Handle through which to reference a Smooth job. | |
| typedef struct Smooth_Attrs | Smooth_Attrs |
| Attributes used to create a Smooth job. | |
Functions | |
| Smooth_Handle | Smooth_create (Smooth_Attrs *attrs) |
| Creates a Smooth job. | |
| Int | Smooth_config (Smooth_Handle hSmooth, Buffer_Handle hSrcBuf, Buffer_Handle hDstBuf) |
| Configure a Smooth job. | |
| Int | Smooth_execute (Smooth_Handle hSmooth, Buffer_Handle hSrcBuf, Buffer_Handle hDstBuf) |
| Execute a Smooth job. | |
| Int | Smooth_delete (Smooth_Handle hSmooth) |
| Deletes a Smooth job. | |
Variables | |
| const Smooth_Attrs | Smooth_Attrs_DEFAULT |
| Default attributes for a Smooth job. |
Reduces interlacing artifacts on a buffer. When capturing a frame from an interlaced medium, it actually consists of two fields 1/60s apart (D1 NTSC example). If an encoder that does not support interlaced frames, such as H.264 BP or MPEG4 SP is used on this buffer, suboptimal quality and performance will likely result. This Smooth module helps preprocess the buffer for use with such an encoder. Typical usage (no error checking):
#include <xdc/std.h> #include <ti/sdo/dmai/Dmai.h> #include <ti/sdo/dmai/Smooth.h> #include <ti/sdo/dmai/Buffer.h> #include <ti/sdo/dmai/Capture.h> Capture_Attrs cAttrs = Capture_Attrs_DM6446_DM355_DEFAULT; Smooth_Attrs smAttrs = Smooth_Attrs_DEFAULT; Buffer_Attrs bAttrs = Buffer_Attrs_DEFAULT; Dmai_init(); Capture_Handle hCap = Capture_create(NULL, &cAttrs); hBuf = Buffer_clone(BufTab_getBuf(Capture_getBufTab(hCap), 0)); Smooth_Handle hSmooth = Smooth_create(&smAttrs); Smooth_config(BufTab_getBuf(Capture_getBufTab(hCap), 0), hBuf); while (1) { Capture_get(hCap, &cBuf); Smooth_execute(cBuf, 0, hBuf, 0); // Further process the capture buffer, now smoothed in "hBuf".. Capture_put(hCap, cBuf); } Buffer_delete(hBuf); Smooth_delete(hSmooth); Capture_delete(hCap);
| typedef struct Smooth_Object* Smooth_Handle |
Handle through which to reference a Smooth job.
| typedef struct Smooth_Attrs Smooth_Attrs |
Attributes used to create a Smooth job.
| Smooth_Handle Smooth_create | ( | Smooth_Attrs * | attrs | ) |
Creates a Smooth job.
| [in] | attrs | Smooth_Attrs to use for creating the Smooth job. |
| Handle | for use in subsequent operations (see Smooth_Handle). | |
| NULL | for failure. |
| Int Smooth_config | ( | Smooth_Handle | hSmooth, | |
| Buffer_Handle | hSrcBuf, | |||
| Buffer_Handle | hDstBuf | |||
| ) |
Configure a Smooth job.
| [in] | hSmooth | The Smooth_Handle of the job to configure. |
| [in] | hSrcBuf | The source buffer to configure for. Note that only the buffer properties are accessed, the pointers are not used. |
| [in] | hDstBuf | The destination buffer to configure for. Note that only the buffer properties are accessed, the pointers are not used. |
| Dmai_EOK | for success. | |
| Negative value | for failure, see Dmai.h. |
| Int Smooth_execute | ( | Smooth_Handle | hSmooth, | |
| Buffer_Handle | hSrcBuf, | |||
| Buffer_Handle | hDstBuf | |||
| ) |
Execute a Smooth job.
| [in] | hSmooth | The Smooth_Handle of the job to execute. |
| [in] | hSrcBuf | The Buffer_Handle of the source buffer to copy from. |
| [in] | hDstBuf | The Buffer_Handle of the destination buffer to copy to. |
| Dmai_EOK | for success. | |
| Negative value | for failure, see Dmai.h. |
| Int Smooth_delete | ( | Smooth_Handle | hSmooth | ) |
Deletes a Smooth job.
| [in] | hSmooth | The Smooth_Handle of the job to delete. |
| Dmai_EOK | for success. | |
| Negative value | for failure, see Dmai.h. |
Default attributes for a Smooth job.
rszRate = 0xe


Nagarjuna Yadav K
Home
About
Contact
Nagarjuna Yadav K
Full Stack Web Developer
I have around 7 years of experience on Web Technologies.
Email: nagarjunayadavk@gmail.com


- Frame: , raster:
- Clock speed:
- Rendering:
Hard Reset
Render the screen of a Commodore 64 pixel by pixel, and unleash the graphical prowess of the greatest computer of the 80s!
Purchase oscillators to kick-start the computer's clock, using the pixels you've built up; buy upgrades to power up your clicking, and to start special graphical effects.
This is not a full simulation of a C64. Not yet, anyways.


color: rebeccapurple;
color: #00a400;
color: rgb(214, 122, 127);
color: hsl(30deg 82% 43%);
color: hsla(237deg 74% 33% / 61%);
color: hwb(152deg 0% 58% / 70%);
London. Michaelmas term lately over, and the Lord Chancellor sitting in Lincoln's Inn Hall. Implacable November weather.


| Photo | Name | Contact Info | Status | Actions | Education Module |
|---|---|---|---|---|---|
| {{player.first_name}} {{player.last_name}} |
{{player.email}}
{{player.phone_number}} |
Invitation Sent
Resend Invite User Joined Declined to Join Resend Invite User Deleted User Not Registered |
Restore |


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Manages environments which describes how to host a specific application.
Environments are key-value maps with lazy value resolution. An environment can inherit from a parent environment, which can provide defaults
A typical configuration file might look something like:
#!/usr/bin/env falcon-host
# frozen_string_literal: true
load :rack, :self_signed_tls, :supervisor
supervisor
rack 'hello.localhost', :self_signed_tls do
end
Nested
Definitions
def initialize
Initialize an empty configuration.
Implementation
def initialize
@environments = {}
end
attr :environments
The map of named environments.
Signature
-
attribute
Hash(String, Build::Environment)
def each(key = :authority)
Enumerate all environments that have the specified key.
Signature
-
parameter
key
Symbol
Filter environments that don't have this key.
Implementation
def each(key = :authority)
return to_enum(key) unless block_given?
@environments.each do |name, environment|
environment = environment.flatten
if environment.include?(key)
yield environment
end
end
end
def add(environment)
Add the named environment to the configuration.
Implementation
def add(environment)
name = environment.name
unless name
raise ArgumentError, "Environment name is nil #{environment.inspect}"
end
environment = environment.flatten
raise KeyError.new("#{name.inspect} is already set", key: name) if @environments.key?(name)
@environments[name] = environment
end
def load_file(path)
Load the specified configuration file. See Falcon::Configuration::Loader.load_file
for more details.
Implementation
def load_file(path)
Loader.load_file(self, path)
end


Your feedback means the world to us, it's how we improve our level of service. Feel free to share your experience if you've stayed with us before.


Why we built FakeNewsify
Fake news is a widespread problem in the country, and it is vital that we make sure that we are informed in our society. According to a study from Pierce College, there were over 8.7 million engagements with fake news on Facebook. Given that we’re in an election year, it is important to ensure that readers know what information is true or not. Our website, Fakenewsify, helps to filter the real and fake news and inform the users on what articles are clickbait or not. Our website classifies new articles based on URL and also summarize the articles.


Declarations can be hard to understand, especially if they declare several names with different types or deal with functions that return pointers to functions. For example, in §10.1.1/171, we saw that
int* p, q;
defines p
as an object of type "pointer to int
" and q
as an object of type int
, and in
§10.1.2/173, we saw that
double (*get_analysis_ptr())(const vector<Student_info>&);
declares get_analysis_ptr
as a function, with no arguments, that returns a pointer to
a function with a const vector<Student_info>&
argument that returns double
.
You can clarify such declarations by rewriting them, for example, as
int* p; int q;
and
// define analysis_fp as a name for the type of a function that takes a // const vector<Student_info>& argument and returns a double typedef double (*analysis_fp)(const vector<Student_info>&); analysis_fp get_analysis_ptr();
Unfortunately, that strategy won't save you from having to read confusing declarations in other people's programs.
In general, a declaration looks like
declaration-stmt: decl-specifiers [ declarator [ initializer ]] [, declarator [ initializer ]]... ;
It declares a name for each of its declarators
. These names are meaningful from where
they are declared to the end of the declaration's scope. Some declarations are also definitions.
Names may be declared multiple times but must be defined only once. A declaration is a definition
if it allocates storage or defines a class or function body.
C++ inherits its declaration syntax from C. The key to understanding declarations is to
realize that each declaration consists of two parts: a sequence of decl-specifiers
that collectively
specify a type and other attributes of what is being declared, followed zero or more
declarators
(each of which can optionally have an associated initializer
). Each declarator
ascribes to a name a type that depends on the specifiers and on the form of the declarator.
The first step in understanding any declaration is to locate the boundary between the specifiers and the declarators. Doing so is surprisingly simple: All the specifiers are keywords or names of types, so the specifiers end just before the first symbol that isn't one of those. For example, in
const char * const * const * cp;
the first symbol that is neither a keyword nor the name of a type is *
, so the specifiers are
const char
, and the (only) declarator is * const * const * cp
.
As another example, consider the arcane declaration from §10.1.2/173:
double (*get_analysis_ptr())(const vector<Student_info>&);
The boundary here is easy to find: double
names a type, and the open parenthesis that
follows it is neither a keyword nor the name of a type. Therefore, the decl-specifiers
part is
just double
, and the declarator is the rest of the declaration, not including the semicolon.
We can divide the decl-specifiers
into three broad categories: type specifiers, storage-class
specifiers, and miscellaneous specifiers:
decl-specifiers: {type-specifier | storage-class-specifier | other-decl-specifier} ...
However, this division serves only to aid understanding, because there is no corresponding
division in declarations themselves: decl-specifiers
can appear in any order.
Type specifiers determine the type that underlies any declaration. We discuss the built-in types themselves in §A.2/299.
type-specifier: char | wchar_t | bool | short | int | long | signed unsigned | float | double | void | type-name | const | volatile type-name: class-name | enum-name | typedef-name
The const
specifier says that objects of the type may not be modified, volatile
tells
the compiler that the variable may change in ways outside the definition of the language
and that aggressive optimizations should be avoided.
Note that const
can appear both as part of the specifiers, thus modifying the type,
and as part of the declarator, specifying a const
pointer. There is never any ambiguity
because a const
that is part of a declarator always follows a *
.
Storage-class specifiers determine the location and lifetime of a variable:
storage-class-specifiers: register | static | extern | mutable
The register
specifier suggests that the compiler should try to optimize performance by
putting the object into a register if possible.
Ordinarily, local variables are destroyed on exit from the block in which they were
declared; static
variables are preserved across entry and exit from a scope.
The extern
specifier indicates that the current declaration is not a definition, implying
that there is a corresponding definition elsewhere.
The mutable
storage class is used only for class data-members
, and allows those data-members
to be modified even if they are members of const
objects.
Other declaration specifiers define properties that are not related to types:
other-decl-specifier: friend | inline | virtual | typedef
The friend
specifier (§12.3.2/216 and §13.4.2/246) overrides protection.
inline
is a specifier for function definitions and is a hint to the compiler to lay the
code down inline if possible. The definition of the function must be in scope when the call
is to be expanded, so it is usually a good idea to put the body of an inline function into the
same header that declares the function.
The virtual
specifier (§13.2.1/234) may be used only with member functions, and
denotes a function for which calls can be dynamically bound.
The typedef
specifier (§3.2.2/43) defines a synonym for a type.
A declaration declares one entity for each declarator, giving that entity a name, and implicitly giving the entity the storage class, type, and other attributes as specified by the specifiers. The specifiers and declarator together determine whether the name names an object, array, pointer, reference, or function. For example,
int *x, f();
declares that x
is a pointer to int
and f
is a function returning int
. It is the declarators
*x
and f()
that make the distinction between the types of x
and f
.
declarator: [ * [ const ] | & ]... direct-declarator direct-declarator: declarator-id | ( declarator ) | direct-declarator ( parameter-declaration-list ) | direct-declarator [ constant-expression ]
A declarator-id
is an identifier
, possibly qualified:
declarator-id: [ nested-name-specifier ] identifier nested-name-specifier: { class-or-namespace-name ::}...
If a declarator is a direct-declarator
that consists only of a declarator-id
, then it specifies that
the identifier being declared has the properties implied by the decl-specifiers
, without further
modification. For example, in the declaration
int n;
the declarator is n
, which is a direct-declarator
that consists only of a declarator-id
, so by
implication, n
has type int
.
If a declarator has one of the other possible forms, then you can determine the type of
the identifier as follows: First, let T
be the type implied by the decl-specifiers, ignoring non-
type properties such as friend
or static
, and let D
be the declarator. Then repeat the
following steps until you have reduced D
to a declarator-id
, at which point T
is the type
you seek:
D
has the form (D1
), then replace D
with D1
.D
has the form * D1
or * const D1
, replace T
with "pointer to T
" or
"constant pointer to T
" (not "pointer to constant T
"), depending on whether the const
is
present. Then replace D
with D1
.D
has the form D1
(parameter-declaration-list), replace T
with "function returning T
"
with arguments as defined by the parameter-declaration-list, and replace D
with D1
.D
has the form D1
[constant-expression], then replace T
with "array of T
" that has the
number of elements given by the constant-expression, and replace D
with D1
.& D1
, then replace T
with "reference to T
" and D
with D1
.As an example, consider the declaration
int *f();
We start with T
and D
being int
and *f()
, so D
has the form *D1
, where D1
is f()
.
You might think that D
could have either of the forms D1()
or *D1
. However, if D
had
form D1()
, then D1
would have to be *f
, and D1
would also have to be a
direct-declarator (because the grammar at the beginning of this section allows only a direct-declarator to
precede ()). If we look at the definition of direct-declarator, however, we see that it cannot
contain a *
. Therefore, D
can only be *f()
, which has the form *D1
, where D
is f()
.
Now that we have determined that D1
is f()
, we know that we must replace T
with "pointer to T
, " which is "pointer to int
, " and replace D
with f()
.
We have not yet reduced D
to a declarator-id, so we must repeat the process. This time,
D1
can only be f, so we replace T with "function returning T," which is "function returning
pointer to int
with no arguments," and we replace D
with f
.
At this point we have reduced D
to a declarator-id, so we're done. We have determined that the declaration
int *f();
declares f
to have type "function with no arguments returning pointer to int
.
" As another example, the declaration
int* p, q;
has two declarators, *p
and q
. For each declarator, T
is int
. For the first declarator, D
is
*p
, so we transform T
to "pointer to int
," and D
to p
. The declaration, therefore, gives p
the type "pointer to int
."
We analyze the second declarator independently, with
T again being int
and D
being
q
. At this point it should be obvious that the declaration gives q
the type int
.
Finally, let's analyze the arcane example from §10.1.2/173:
double (*get_analysis_ptr())(const vector<Student_info>&);
The analysis proceeds in the following five stages:
T: double D: (*get_analysis_ptr())(const vector<Student_info>&)
T:
function returning double
with const vector<Student_info>&
argument
D: (*get_analysis_ptr())
T:
function returning double
... (as before) D: *get_analysis_ptr()
T:
pointer to function returning double
... D: get_analysis_ptr()
T:
function returning pointer to function returning double
... D: get_analysis_ptr
In other words, we learn that get_analysis_ptr
is a function that returns a pointer to a
function that returns a double
result, and takes a const vector<Student_info>&
as
its argument. We leave unwinding const vector<Student_info>&
as an exercise.
Fortunately, few function declarations are this confusing; most of them look like
declarator: declarator-id ( parameter-declaration-list )
By far the most common difficult case is a function that returns a pointer to function.


Reference
This is where you find documentation for all members and objects in ProcessMemoryUtilities.Net.
Managed
The ProcessMemoryUtilities.Managed namespace provides access to convenient and more Kernel32
alike methods.
There is just a single class which contains all methods you would normally use.
Native
The ProcessMemoryUtilities.Native namespace provides all low level methods exported by this library.
You also find all the important enums
within this namespace.


---
title: "Talks"
output: html_document
---
Data Science Workshops
23/09/2020 How AI-Assisted Fraud Detection Improves Survey Data Quality @Attest | Slides
17/09/2020 Data Annotation at Scale: Active and Semi-Supervised Learning in Python @ODSC | GitHub | Slides
18/04/2018 Applied Predictive Modelling with caret
@LSE | GitHub
Invited Talks
02/12/2020 Applied Social Data Science Professionalisation Panel @LSE
12/08/2020 The Insider’s Guide to Getting into Data Science @Faculty
26/06/2020 Data Science for Executives Roundtable @LSE
18/11/2019 Future Careers Panel @LSE


[gecode-users] Deleting spaces
Christian Schulte
cschulte at kth.se
Fri Mar 6 08:53:54 CET 2009
You should delete both. The creation of a search engine takes a snapshot
clone by default, and the responsibility for anything returned is with the
client.
What the heck, you can already have a preview of the upcoming tutorial
documentation (where I just explained that). Please keep in mind that this
doc is for Gecode 3.0.0 (where the interface has changed quite some) and is
still being proofread:
http://www.gecode.org/doc/3.0.0/modeling.pdf
Cheers
Christian
--
Christian Schulte, www.it.kth.se/~cschulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Malcolm Ryan
Sent: Friday, March 06, 2009 8:42 AM
To: gecode list
Subject: [gecode-users] Deleting spaces
A question about memory management. If I do the following:
Space* space = new Space();
//... set up problem
Search::Options o;
Gecode::DFS<Space> dfs(space, o);
Space* result = dfs.next();
Should I now delete space? Should I delete result? Or do they belong
to dfs?
Malcolm
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Toolkits > SampleIPAddressLocation 1.0.0 > sample > TestIPAddressLocationBasic1.spl
composite TestIPAddressLocationBasic1 { param expression<rstring> $geographyDirectory: getSubmissionTimeValue("geographyDirectory", "./www.maxmind.com" ); expression<rstring> $pcapFilename: getSubmissionTimeValue("pcapFilename", "../../SampleNetworkToolkitData/data/sample_locations_ipv4_only.pcap" ); type PacketType = uint64 packetNumber, // sequence number of packet, as emitted by operator float64 captureTime, // time that packet was captured, in seconds since Unix epoch uint32 ipSourceAddress, // IPv4 source address, or empty if not IPv4 packet uint16 ipSourcePort, // IP source port, or zero if not UDP or TCP packet uint32 ipDestinationAddress, // IPv4 destination address, or empty if not IPv4 packet uint16 ipDestinationPort, // IP destination port, or zero if not UDP or TCP packet uint32 packetLength; // original length of packet (not necessarily all captured) LocatedPacketType = uint64 packetNumber, // sequence number of packet, as emitted by operator float64 captureTime, // time that packet was captured, in seconds since Unix epoch uint32 packetLength, rstring ipSourceAddress, rstring ipSourceSubnet, rstring ipSourceLabel, rstring ipSourceCoordinates, rstring ipDestinationAddress, rstring ipDestinationSubnet, rstring ipDestinationLabel, rstring ipDestinationCoordinates; graph stream<PacketType> PacketStream as Out = PacketFileSource() { param pcapFilename: $pcapFilename; outputFilters: IP_VERSION()==4ub; output Out: packetNumber = packetsProcessed() - 1ul, captureTime = (float64)CAPTURE_SECONDS() + (float64)CAPTURE_MICROSECONDS() / 1000000.0, ipSourceAddress = IPV4_SRC_ADDRESS(), ipSourcePort = IP_SRC_PORT(), ipDestinationAddress = IPV4_DST_ADDRESS(), ipDestinationPort = IP_DST_PORT(), packetLength = PACKET_LENGTH(); } () as PacketSink = FileSink(PacketStream) { param file: "debug.TestIPAddressLocationBasic1.PacketStream.out"; format: txt; hasDelayField: true; flush: 1u; } stream<LocatedPacketType> LocatedPacketStream as Out = IPAddressLocation(PacketStream) { param geographyDirectory: $geographyDirectory; outputFilters: locationCityName(ipSourceAddress)!="" && locationCityName(ipDestinationAddress)!=""; output Out: ipSourceAddress = convertIPV4AddressNumericToString(ipSourceAddress), ipSourceSubnet = locationSubnet(ipSourceAddress), ipSourceLabel = locationCityName(ipSourceAddress) + ", " + locationSubdivision1Name(ipSourceAddress) + ", " + locationCountryName(ipSourceAddress), ipSourceCoordinates = (rstring)locationLatitude(ipSourceAddress) + ", " + (rstring)locationLongitude(ipSourceAddress), ipDestinationAddress = convertIPV4AddressNumericToString(ipDestinationAddress), ipDestinationSubnet = locationSubnet(ipDestinationAddress), ipDestinationLabel = locationCityName(ipDestinationAddress) + ", " + locationSubdivision1Name(ipDestinationAddress) + ", " + locationCountryName(ipDestinationAddress), ipDestinationCoordinates = (rstring)locationLatitude(ipDestinationAddress) + ", " + (rstring)locationLongitude(ipDestinationAddress); } () as LocatedPacketSink = FileSink(LocatedPacketStream) { param file: "debug.TestIPAddressLocationBasic1.LocatedPacketStream.out"; format: txt; hasDelayField: true; flush: 1u; } }


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Casual ARMS movie nights were fun non-gaming events where we got together and watched interesting films. Movie nights were hosted by community member Reis.
Watched 2018-11-01. Peter Weir, 1998. IMDb
Watched 2018-10-25. Katie Krentz & Patrick McHale, 2014. IMDb
Watched 2018-10-18. Hayao Miyazaki, 1997. IMDb
Watched 2018-10-11. Bent Hamer, 2003. IMDb
Watched 2018-10-04. Shane Carruth, 2004. IMDb
Watched 2018-09-13. Seth Gordon, 2007. IMDb
Watched 2018-09-06. Wes Anderson, 2009. IMDb
Watched 2018-08-30. Charlie Chaplin, 1936. IMDb
Watched 2018-08-23. Edgar Wright, 2010. IMDb
Watched 2018-08-16. Michael Dowse, 2013. IMDb


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Harold Thimbleby
Heedless programming is, roughly, the lack of attendance to corner cases and exceptions, given a name so it can be critiqued. That includes proceeding when ambiguous or mistaken input has been provided, or failing to handle states which the system can get itself into. Calculators are provided as a canonical example.


CS6841: Approximation Algorithms, Jan-May 2017
- Lecturers: N.S. Narayanaswamy, Ravishankar Krishnaswamy
- TAs: Dhanyya, Sharmili Murthy
- Location: CS27, W 2:00-2:50; F 2:00-4:30
Announcements
Homeworks
Completed Lectures, and Tentative Outline
In the first part of the course, we plan to look at basic covering/packing problems such as set cover, max-k-coverage, and submodular maximization.
For each of these problems, we will cover various algorithmic techniques (greedy, local search, primal-dual, LP rounding) which have different quality of approximation guarantees depending on the type of input instances.
Then we will delve into the limitations of these algorithms. Finally, we will discuss the inherent hardness in getting any approximation algorithms for these problems, under standard complexity assumptions.
In the second part, we will follow the same template for graph partitioning problems such as min cut, max cut, multi-cut, and sparsest cut. The techniques now additionally include SDP rounding and metric embeddings.
In the third part, we will focus on resource allocation problems, such as max-min allocation, min-max allocation, and bin packing. Now the techniques will include designing PTASs, and rounding so-called configuration LPs, in addition to the ones described above.
- (13/1/2017) Lecture 1 (RK). Greedy Algorithm for Set Cover and Max Coverage.
- Introduced approximation algorithms as means to cope with NP-Completeness.
- Presented greedy algorithm for Set Cover and Max-k-Coverage.
- Introduced Submodular functions and showed how same greedy algorithm works well for maximizing monotone submodular functions.
- (18/1/2017) Tutorial 1 (NSN).
- Introduced the dual problem (Hitting Set).
- Motivated and studied algorithms for special case instances of set cover (such as vertex cover).
- (20/1/2017) Lecture 2 (RK). LP-Rounding for Set Cover.
- Motivated Linear Programming as a generic framework.
- Presented randomized rounding for Set Cover.
- Went over bad examples which show the limits for greedy and LP rounding algorithms (rounding gap vs integrality gap).
- (25/1/2017) Tutorial 2 (NSN).
- Showed a factor 2-approximation for Vertex Cover by LP rounding.
- Showed matching LP integrality gaps.
- (27/1/2017) Lecture 3 (RK). Greedy and LP Rounding for Min-Sum Set Cover.
- Presented greedy algorithm's analysis of a constant factor approximation.
- Formulated an LP for the problem and showed a rounding with an O(1) factor.
- Introduced a generalization and mentioned how the natural LP can have a large integrality gap.
- (1/2/2017) Tutorial 3 (NSN).
- Showed that Vertex Cover LP is 1/2 integral.
- Defined the Feedback Vertex Set problem.
- (3/2/2017) Lecture 4 (RK). The Primal-Dual Method.
- Introduced duality, strong duality theorem, and complementary slackness.
- Motivated the primal-dual algorithmic framework by using relaxed complementary slackness conditions.
- Showed an f-approximation for Set Cover as an application.
- (8/2/2017) Tutorial 4 (NSN).
- Started the O(log n) algorithm for Feedback Vertex Set.
- (10/2/2017) Lecture 5 (RK). The Primal-Dual Method Part 2.
- Went over the primal-dual framework once more.
- Studied the exact primal-dual algorithm for the minimum cost arborescence problem.
- Introduced the Steiner forest problem.
- (17/2/2017) Lecture 6 (RK). The Primal-Dual Method Part 3; Intro to Local Search.
- Designed primal-dual algorithms for Steiner Forest.
- Intro to local search with Max-k-Coverage.
- Started the analysis of local search for k-median.
- (22/2/2017) Tutorial 5 (NSN).
- Showed simple approximation hardness reductions between some problems.
- (24/2/2017) Lecture 7 (VG). Introduction to Non-approximability (Guest lecture by Venkat Guruswami).
- Introduced hardness of approximation via promise problems.
- Stated the PCP theorem and showed its deep connections with hardness of approximation.
- Introduced the Label Cover problem and used to for Max-k-Coverage hardness 1 vs 3/4.
- (3/3/2017) Lecture 8 (RK). Finished 1 vs 3/4 Hardness of Max-k-Coverage.
- Recapped the Label Cover problem.
- Showed the reduction from Label Cover to Max-k-Coverage.
- (10/3/2017) Lecture 9 (RK). The k-Median Problem (Hardness, Local Search, Metric Embeddings).
- Recapped the k-Median problem and showed the hardness reduction from Max-k-Coverage.
- Introduced the notion of Metric Embeddings and showed a O(log n)-approximation using this.
- Completed the analysis of the 5-approximation using local search.
- (17/3/2017) Lecture 10 (RK). Semidefinite Programming (Max-Cut, Graph Colouring).
- Introduced Max-Cut and saw a local search 1/2 approximation.
- Motivated Quadratic Programming (and hence SDPs).
- Analyzed Goemans-Williamson rounding for Max-Cut SDP.
- Introduced Graph Colouring program and saw the KMS rounding algorithm for n^0.25 colouring.
- (24/3/2017) Lecture 11 (RK). Sparsest Cut.
- Introduced the problem and a metric relaxation.
- Showed Bourgain's metric embedding theorem to get a O(log n) approximation for Sparest Cut.
- While we showed a cheating proof, see here for the formal proof.
- (31/3/2017) Lecture 12 (RK). Concentration bounds and applications.
- Went over Markov, Chebyshev, Chernoff and Bernstein's inequalities.
- Saw applications in load balancing, median-of-values for boosting, and set discrepancy.
- (07/4/2017) Lecture Canceled.
- (12/4/2017) Student Presentations.
- (19/4/2017) Student Presentations.
- End of class! Thanks for attending and participating!
Student Presentations
This involves reading papers from other areas of computer science where the underlying problem tackled is related to some of the problems studied in this course.
The overall goal is to get a sense of how real world problems are abstracted as crisp algorithms questions, and how their (exact or approximate) solutions are deployed back in the real world.
Students are expected to form groups of two, choose a paper, and present (a) the goal of the paper, (b) the underlying problem, (c) the solution provided in the paper, and (d) any other algorithms based on topics covered in class which might be applicable.
The presentations are to be 20 minutes long.
Thanks to Anupam Gupta for webpage design, and scribe template.


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