Welcome
Projects
Governance
Resources
Our Team
Our team
City of Zion team of Council members, Advisors, Maintainers, Developers and Contributors
Developer
Woodehh
Benjamin J.J. de Bos
neo-php & CityOfZion.io developer
Contributor
MediaSmurf
Thomas Lobker
Contributor and community support
Maintainer
anthdm
Anthony De Meulemeester
Maintainer of neo-go
Developer
Brian
Brian Lenz
neo-python developer
Developer
slipo
Silas Albrecht
Developer
Maintainer
revett
Charlie Revett
Core CoZ Developer, NeoAuth Creator
Developer
zeshon
Austin Hinderer
Developer
Security
shargon
Fernando Díaz Toledano
Security Team
Maintainer
mhuggins
Matt Huggins
Neon Wallet Developer
Maintainer
gubanotorious
Alex Guba
C#/.NET Developer
Contributor
Stef
Steffel
NeoChat dev
Developer
Nikolaj-K
Nikolaj Kuntner
Gentleman Scientist
Developer
hal0x2328
Joe Stewart
neo-python developer
Contributor
fujita
Nick Fujita
Developer & Community Outreach
Maintainer
snowypowers
Yak Jun Xiang
Maintainer of neon-js
Council
metachris
Chris Hager
neo-python & more
Developer
relfos
Sérgio Flores
Maintainer of neo-debugger-tools
Council
canesin
Fábio César Canesin
Maintainer of sanity
Security
belane
Jaime Kindelan
Security Team
Council
localhuman
Thomas Saunders
neo-python and neo-boa author
Council
lllwvlvwlll
Tyler B Adams
Evangelism and Standards
Developer
Deanpress
Dean van Dugteren
Developer and workshop host/instructor
Developer
ambethia
Jason L Perry
CoZ Developer and author neo-ruby
Contributor
dean
Dean Jeffs
NEO News Today founder
Council
ashant
Ashley Rolleston
C#/.NET Developer
Council
totalvamp
Michael de Wal
Master of Bots
Contributor
apisit
Apisit Toompakdee
Developer
Developer
Bruno Freitas
Bruno Freitas
Developer
Contributor
DrPpr
Jeroen Peeters
NeoAuth developer
Translator
kurisu
Christopher Colomb
NeoJP Community Founder
Council
LucianoEngel
Luciano Engel
Neoscan Author and Maintainer
Developer
yenct
Travis Lin
City of Zion Developer
Council
unignorant
Ethan Fast
Creator of Neon Wallet
Developer
coranos
Creator of Neo Ledger App
Designer
Velocihamster
Nathaniel Walpole
Product Design
Contributor
zillarino
Steven Jack
Neo-go contributor
Developer
osmirnov
Oleg Smirnov
CoZ developer, NeoSharp developer
Contributor
bsat
Sathvik Birudavolu
neo-elixir-vm author
Contributor
Legiit
Maurice Dalderup
Contributor
Contributor
Khare
Fredrik Strand Oseberg
NeoLink Designer and Frontend Developer
Council
afong
Alan Fong
CoZ Co-Founder, Moonlight Co-Founder, NEP-5 Developer
Developer
BjornBorg
David Schwartz
CoZ Developer, NEX Developer
Developer
drptbl
Jakub Mucha
QA Automation Engineer
Maintainer
adrienmo
Adrien Moreau
Maintainer of neo-scan
Contributor
melanke
Gil Lopes Bueno
Neo-Sharp Contributor
Contributor
koba
Ricardo Akio Kobayashi
Neo-Swift Contributor
Contributor
meira
Ricardo Meira do Prado
Neo-Sharp Contributor
Contributor
jseagrave21
Joshua Seagrave
Neo-Python Contributor


Class: CSVDecision::Scan::InputHashes Private
- Inherits:
-
Object
- Object
- CSVDecision::Scan::InputHashes
- Defined in:
- lib/csv_decision/scan.rb
Overview
This class is part of a private API. You should avoid using this class if possible, as it may be removed or be changed in the future.
Derive the parsed input hash, using a cache for speed.
Instance Method Summary collapse
-
#data(table:, path:, input:) ⇒ Hash{Symbol=>Object}
private
Parsed input hash.
-
#initialize ⇒ InputHashes
constructor
private
A new instance of InputHashes.
Constructor Details
#initialize ⇒ InputHashes
This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.
Returns a new instance of InputHashes
71 72 73 |
# File 'lib/csv_decision/scan.rb', line 71 def initialize @input_hashes = {} end |
Instance Method Details
#data(table:, path:, input:) ⇒ Hash{Symbol=>Object}
This method is part of a private API. You should avoid using this method if possible, as it may be removed or be changed in the future.
Returns Parsed input hash.
78 79 80 81 82 83 84 85 86 87 88 89 |
# File 'lib/csv_decision/scan.rb', line 78 def data(table:, path:, input:) return @input_hashes[path] if @input_hashes.key?(path) # Use the path - an array of symbol keys, to dig out the input sub-hash hash = path.empty? ? input : input.dig(*path) # Parse and transform the hash supplied as input data = hash.blank? ? {} : Input.parse_data(table: table, input: hash) # Cache the parsed input hash data for this path @input_hashes[path] = data end |


Home
Mordechai is cooler than Rigby
Rigby is cooler than Mordechai
Benson is not as cool as Mordechai and Rigby


Dr. Alpha
Dr. Alan Alpha is a board-certified pediatrician with over 25 years of experience in pediatric medicine. He has extensive experience and training in pediatric medicine, medical group and hospital administration.
His experiences and observations have served to solidify his commitment to the ongoing improvement of medical care through research and education. Dr. Alpha received his medical degree from the University of Texas Medical Branch in Galveston, Texas. In 1975 he moved to Tucson, Arizona to begin his pediatric residency at The University of Arizona, College of Medicine. Dr. Alpha was appointed Pediatric Chief Resident in 1978. He has served as a Senior Clinical Lecturer in the Department of Pediatrics at the U of A, College of Medicine and has been referenced in several pediatric health publications.
Upon completing his residency Dr. Alpha joined Group Health Medical Centers (GHMA), a large multi-specialty physician group. During his 18 year tenure at GHMA he practiced pediatric medicine and served as Associate Medical Director of Medical Affairs from October 1988 to January of 1995. The knowledge and experience he acquired in his years with GHMA led to his appointment as Medical Director of the Physicians Services Division of Health Partners of Southern Arizona/TMC Healthcare. He served as Medical Director from January of 1995 through May of 1998. He then joined Carondelet Heath Network as Vice President of Medical Affairs and served in that capacity until March of 2004.
Dr. Alpha returned to pediatric private practice “his first love” in January of 2005. He is passionate about using his extensive experience and knowledge to empower and partner with parents as they endeavor to raise healthy, happy children.


"x" "1" "CREBELLI,R AND IORIO,MA, CHEMISTRY AND IN VITRO MUTAGENICITY OF2-AMINOFLUORENE DERIVATIVES, CHEM.-BIOL. INTERACT. 54(1):71-83, 1985"


Task name
Some text describing your issue
Probably Task decision
Some text about decision for better description
Probably Task decision
Some text about decision for better description
Probably Task decision
Some text about decision for better description


Struggling to upgrade emoncms!
I have a Raspberry Pi which was installed with emoncms from scratch (without installing git).
I have since installed git, registered the SSH key, and then entered;
$ /var/www/
$ sudo git clone -b dev git@github.com:emoncms/emoncms.git
I get the response;
fatal: destination path 'emoncms' already exists and is not an empty directory.
Re: Upgrading to Dev Branch
Hello Paul, If you rename your current emoncms folder to something like emoncmsold and then create and download the new directory from scratch. You should be able to do it without using sudo if you have set the www folder ownership to pi, see step 7 here: http://emoncms.org/site/docs/installlinux
Keeping the old folder intact will allow you to revert to the old version if you need to. Il add a note to the upgrade page.
Re: Upgrading to Dev Branch
Thinking about it a little more, I think it might be best to clone into a new folder called dev, leaving the current emoncms folder intact so that the upgrade process does not interfere with your current emoncms installation and any hardware posting to it.
I have updated the documentation here: http://emoncms.org/site/docs/upgrading
Re: Upgrading to Dev Branch
That didn't go well!
I tried the revised guide, but it would not pick up any data feeds. I suspect it was because the RFM2Pi drivers were in the Modules folder of the older emoncms version. I tried to reinstall the RFM2Pi drivers in the new modules folder, but ended up somehow corrupting the install, so I've restored my SD card to a working backup (older version).
I'm back where I started!
Paul
Re: Upgrading to Dev Branch
I've just struggled through this myself but finally got it all working. I downloaded the updated raspberrypi code from here https://github.com/emoncms/raspberrypi/tree/dev and unzipped it into the /var/www/emoncms/Modules/raspberrypi directory and that part started working. I still had problems with inputs I post using Json from an Arduino with an ethernet shield but then realised the url format had changed from "/emoncms/input/post?time=1364053739&json={Test:999}" to "/emoncms/input/post.json?time=1364053739&json={Test:999}" i.e ".json" needed adding after "/post".
Re: Upgrading to Dev Branch
The ".json" in "/post.json" suppresses the HTML page that would otherwise be returned (so it just says "ok")
Re: Upgrading to Dev Branch
Not quite "/emoncms/input/post.json?time=1364053739&json={Test:999}&apikey=YourAPIkey" posts the data and returns "ok" whereas "/emoncms/input/post?time=1364053739&json={Test:999}&apikey=YourAPIkey" doesn't work with the Dev version and just returns the menu banner and footer. No data is posted to the database.
I just tested again to make sure.
To be clear I'm talking about the latest Dev Branch on the RaspberryPi
Re: Upgrading to Dev Branch
I'm trying to run through the upgrade guide again, and can't help think that at least one of the paths is incorrect in the guide.
I'm presently on to Step 3 - Run Database Update by going to http://localhost/emoncms/admin and logging in. It does not update the database with any new fields (but then why would it - emoncms is the folder of my previous working version).
If I try http://localhost/dev/admin then it will not accept my admin user login.
Step 4 - Run migrate_inputs.php script also details loading http://localhost/emoncms/migrate_inputs.php but of course migrate_inputs.php is not in the emon folder, it's in the dev folder!

Re: Upgrading to Dev Branch
Hello Paul, your quite right, paths are corrected, sorry about that.
Re: Upgrading to Dev Branch
I realize there is one other step I have missed which might be the issue, the username format has changed to only allow a-z 0-9 underscore and dash. I still need to add a step to the migration script to remove these characters. The format needed to be changed to be compatible with the new routing system and public dashboard names.
Re: Upgrading to Dev Branch
Successfully updated to emoncms dev!
I can't help thinking that I made hard work of it though...
Re: Upgrading to Dev Branch
Trystan, is it safe to move to latest revisions from dev branch ?
I'm still using commit f04fa6c. Oscar and casestudies had issues with it and as far as I understand they could not go back after database update. Is this solved with latest commits ?
I don't want to be alarmist, the status is just unclear to me.
Re: Upgrading to Dev Branch
Just upgraded to the dev branch; all went well after reading the previous posts but I'm having one small problem I can resolve: in the input list, the old input names (nodeXX_X) are still there. They no longer generate data, but everytime I try to remove them, they're added again after a couple of seconds. Other than that, everything seems to work just fine.
Any idea what I may have forgotten or done wrong ?
Re: Upgrading to Dev Branch
Gloorung, I had the same, and suspect that it may because you have 2 versions of emoncms in the www folder, the old version and the dev version, and the feed processing in the old version is still naming them 10_1, 10_2 etc.
I simple Gzipped up the 'oldemoncms' folder and contents, which of course stopped any scripts from running from it.
$ cd /var/www/
$ tar czf oldemoncms.tar.gz oldemoncms
After zipping up the folder, delete any 'old' feeds and inputs in your updated version and reboot.
If it goes belly up, you can always restore it later!
Let us know if it works for you.
Paul
Re: Upgrading to Dev Branch
Out of curiosity, why don't you use git instead of downloading and ungzipping the archive ?
I find git even simpler. Even if you don't contribute your modifications, you can safely modify anything with a way back.
Re: Upgrading to Dev Branch
I did, as per my first post above.
I haven't grasped the full benefits to using Git yet, but it did seem simpler to install modules, and presumable to update them if the branch is later updated.
Paul
Re: Upgrading to Dev Branch
Right, sorry.
Then you could commit locally instead of gzipping. But anyway, I'm off-topic.
Re: Upgrading to Dev Branch
Hi Paul,
Rebooting solved the problem (even without zipping the old folder).
Thx,
Roel
Re: Upgrading to Dev Branch
BTW, I did update to latest dev revision and whatever issue the others had didn't occur here, as far as I can tell. Seems safe to me.


Canonical's Ubuntu 16.04 Long Term Support (LTS) Linux operating system, also known as "Xenial Xerus", was released in April 2016. It is the first Ubuntu release to include Python 3 instead of Python 2 as its default Python installation.
The Pyramid web framework has long supported Python 3. With just a few short steps we can start a new Pyramid project and run it with Green Unicorn (Gunicorn) on Ubuntu 16.04.
Our project requires Ubuntu 16.04 plus several code libraries. You do not need to install these tools yet - we will get to them in turn as the walkthrough progresses. Our requirements and their current versions are:
If you are developing on Mac OS X or Windows, you can use virtualization software such as Parallels or VirtualBox with the Ubuntu .iso file. Either the amd64 or i386 version of 16.04 is fine. While creating this I used the amd64 version.
A desktop screen like this one appears when you boot up Ubuntu.
Open a new terminal window so we can be ready to install required system packages.
The precise Python version can be shown using the python
command with the
--version
argument.
python3 --version
We can also view where the python3
program is installed on Ubuntu using the
which
command.
which python3
Ubuntu requires a few system packages before we can properly install Pyramid
and Gunicorn. When we run the apt
command to install system packages we
will be prompted for the superuser password. Restricted system access is
necessary to modify files within the system folders.
sudo apt-get install python3-dev
Press y
then return to let the system package installation run.
The required system packages are installed. We can now install the Python-specific dependencies.
Create a directory for the virtual environments. Then create a new virtual environment.
# the tilde "~" specifies the user's home directory, like /home/matt
cd ~
mkdir venvs
# specify the system python3 installation
/usr/bin/python3 -m venv venvs/pyramidproj
Activate the virtual environment.
source ~/venvs/pyramidproj/bin/activate
Our prompt will change after we properly activate the virtual environment to
something like (pyramidproj) matt@ubuntu:~$
.
Our virtual environment is activated with Python 3.
We should update pip and venv to the latest versions in our virtual environment.
pip install --upgrade pip setuptools
We can install whatever dependencies we want, in our case Pyramid and Gunicorn.
We can install Pyramid, Gunicorn and Waitress into our virtual environment using
the pip
command.
pip install pip install "pyramid==1.7" gunicorn waitress
No errors like we see in the following screenshot is a good sign.
Pyramid comes with a project starter template creation tool named pcreate
.
Run pcreate
to generate the boilerplate for a new Pyramid project named
"pyramidproj".
pcreate -s starter pyramidproj
Use the cd
(change directory) command to move into the new folder.
cd ~/pyramidproj
A slew of new files have been created within the "pyramidproj" directory. These are the basic files you can customize for the web application you want to build. A good resource for understanding and modifying these files is to follow the quick tutorial for Pyramid.
For now, we just want to use Gunicorn to run our starter pyramidproj app.
Install pyramidproj into your virtual environment using the python
command on
setup.py
.
python setup.py develop
Now we can run our app with Gunicorn. Pyramid is a
paste-compatible
framework, so we use the --paste
argument to run the WSGI server with
the "development.ini" configuration file. In addition, the -b
argument
tells Gunicorn which port number to bind on when the server starts.
gunicorn --paste development.ini -b :8080
Cool, we can bring up our starter Pyramid project up in the web browser at
the localhost:8000
or <IP_ADDRESS>:8000
address.
Time to develop a full-fledged web application with Pyramid!
Now you have a simple setup to develop Pyramid web apps using Gunicorn as the WSGI server on Ubuntu 16.04. If you need a full step-by-step tutorial to deploy your Python web application to a production environment, check out the Full Stack Python Guide to Deployments book.
To decide what to do next with your Python project, check out the Full Stack Python table of contents page.
See something wrong in this post? Fork this page's source on GitHub and submit a pull request.


Preparation time
overnight
Cooking time
1 to 2 hours
Serves
Serves 8
A richly flavoured baked cheesecake made with Stilton and served with pickled beetroot.
Equipment: You will need 8 x 12cm/6in ramekins or soufflé tins.
Put all the ingredients for the pickled beetroot in a medium, lidded saucepan. Pour over 800ml/1 pint 8fl oz water. The beetroots should be submerged, so add a little more water if you need to. Bring to the boil, then reduce the heat to medium and cook, covered, for 35–40 minutes, or until the beetroot is soft. Leave to cool completely.
Lift the beetroots out of the liquid, then peel and cut them into 1cm/½in dice. Put it in the bowl. Strain the pickling liquid, and return it to the pan. Cook over a medium heat for 25 minutes, or until reduced by half to about 600ml/1 pint 2fl oz. Set aside to cool, then pour the liquid over the beetroots. Cover and chill in the fridge for 24 hours.
For the bases, lightly grease eight 12cm/6in diameter ramekins or soufflé tins with melted butter and place a circle of baking paper in the base of each.
Put all the ingredients for the cheesecake base in a food processor. Pulse to form fine crumbs, then divide between the ramekins, pressing down evenly and firmly.
For the cheesecake toppings, preheat the oven to 200C/180C Fan/Gas 6. Melt the butter in a small saucepan over a medium heat for 7 minutes, stirring from time to time, until soft. Leave the leeks to cool, then transfer them to a large mixing bowl.
Add the cream cheese, crème fraîche, cream, garlic, chives, basil, salt and a good grind of black pepper to the leeks. Mix well to form a smooth paste. Gently fold in the blue cheese and eggs, then pour the mixture into the ramekins.
Bake for 25–30 minutes, until a skewer inserted into the middle comes out clean.
Serve immediately, in the ramekins or soufflé tins, garnished with a drizzle of honey, the hazelnuts and basil. The beetroot, strained, can be spooned on top of the cheesecakes before the garnishes, or served alongside.


Ex-Boston College student pleads not guilty in suicide texting case involving boyfriend
by Robert GeartyA former Boston College student who prosecutors say sent texts encouraging her boyfriend to kill himself pleaded not guilty Friday to a manslaughter charge.
Inyoung You, 21, entered the plea to an October indictment charging her with sending more than 47,000 texts to Alexander Urtula, 22, of New Jersey in the weeks before his May 20 suicide in Boston.
She showed no expression as prosecutors detailed the case against her at the arraignment.
The court appearance came after You returned to the U.S. from South Korea, NBC 10 Boston reported.
The judge set bail at $5,000 and also ordered You to surrender her passport and report to probation twice a week, according to the station.
The trial date was set for November 2020.
At the arraignment, prosecutors told the judge You became upset when she found out Urtula had been in touch with a former girlfriend, the station reported.
Prosecutors have said You exerted complete control over Urtula emotionally and mentally, during a tumultuous 18-month relationship.
You hired a public relations firm that released text messages suggesting she tried to stop Urtula from killing himself, Fox 25 Boston reported. Urtula jumped to his death from the top of a parking garage on the day of his graduation from Boston College.
You's prosecution has been likened to the suicide texting case that another Massachusetts prosecutor brought against Michelle Carter in 2017.
CLICK HERE TO GET THE FOX NEWS APP
Carter went to prison after a judge found her guilty of sending texts encouraging her boyfriend to kill himself, which he ultimately did.


mic on/off
Interference Volume
Interference Pitch
∽
Additional Controls
Volume
Biquad Filter
Frequency:
300
Q:
1.75
Limiter
Threshold:
-10


CAD MODELS IN ASSIMP IMPORTABLE FORMATS
INDEX
The assimp library is a C++ implementation for importing CAD models in many popular formats.
In particular, it supports Collada (.dae) and Wavefront Object (.obj).
There is a list of about 30 other formats so it is very general
Other advantages are that it is self-contained and does not require loading lots of other libraries
and that it puts data into a structure that is very similar to OpenGL so it does not require
lots of additional transformations for use to use it.
Assimp provides source code and CMAKE files for building the library.
I downloaded assimp source and CMAKE files.
I then downloaded the latest CMAKE for windows: cmake-3.15.4-win64-x64.
In the bin subdirectory, I ran the gui-based executable cmake-gui.exe.
I specified the directory for the source code: C/assimp-3.3.1.
I created a directory C:/assimp-3.3.1/build to build in and specified this directory to the GUI.
I pressed "Configure", then "Generate".
I also had to specify to target VisualStudio2017.
This created a VisualStudio 2017 solution that appears to work -- at least for Debug.
I compiled the Release version 4 December 2019.
I tried both building 'assimp' and building 'BUILD ALL' but had all sorts of linking errors.
It was linking to a 64-bit version of GDAL, not the32-bit version.
When I fixed this, I rebuild 'assimp' and it looks to work.
Code is in dir:
C:\assimp-3.3.1\build\code\Debug
C:\assimp-3.3.1\build\code\Release
The basic data structure is a scene that corresponds to all the data for a single file.
To start processing, one imports data from a file into the scene.
Within the scene there are two basic substructures: meshes and materials.
Each scene contains a number of meshes.
Every time a new material is used for faces in the file/scene, then a new mesh is created.
Although a given material may be used multiple times,
every time a different material is applied to a set of faces then a new mesh is defined.
Some types of information, like colors and filenames for the texture, are defined in materials.
However most is stored in the meshes.
Vertex locations, face definitions, normals and texture coordinates are defined
in the mesh in such a way that they can be transfered directly into OpenGL/OpenInventor structures.


FROM THE DESK OF Mr,KAREM AHMED. BILL AND EXCHANGE MANAGER, BANK OF AFRICA (B.O.A) OUAGADOUGOU, BURKINA FASO WEST AFRICA. PHONE CONTACT 00<IP_ADDRESS>.34 DEAR FRIEND, I know you may be surprise to recieve this e-mail ; I got your contact address from the internet while I was searching for my friend that has similar name with you. I am the manager of bill and exchange BANK OF AFRICA (B.O.A) at foreign remittance department. There is a business I would want you to champion for me, in my department I discovered an abandoned sum of ($31.500.000 U.S) thirty one million five hundred thousands US dollars) In an account that belongs to one of our foreign customer who died along with his entire family on 25TH JULY, 2000 CONCORDE PLANE CRASH [Flight AF4590] with the whole passenger�s aboard. The name of the deceased man was (MR.ANDREAS SCHRANNER from Munich Germany) N.B. In other for you to believe me honestly, visit the web site to enable you know whether we can work together, below is the website. http://news.bbc.co.uk/1/hi/world/europe/859479.stm You have to understand that I come crossed this huge amount of money when I was arranging the departmental customers file to submit to the bank management for the annual audit of the year. Since we got information about his death, we have been expecting his next of kin to come over and claim his money because we cannot release it unless somebody applies for it as next of kin or relation to the deceased as indicated in our banking guidelines, but unfortunately we learnt that all his supposed next of kin's or relation died alongside with him at the plane crash leaving nobody behind for the claim. It is therefore upon this discovery that I now decided to make this business proposal to you and release the money to you as the next of kin or relation to the deceased for safety and subsequent disbursement since nobody is coming for it and I don�t want this money to go into the Bank treasury as unclaimed Bill. The Banking law and guideline here stipulates that if such money remained unclaimed after some years, the money will be transferred into the Bank treasury as unclaimed fund. The request of foreigner as next of kin in this business is occasioned by the fact that the customer was a foreigner and a Burkina citizen cannot stand as next of kin to a foreigner. In fact I could have done this deal alone but because of my position in this country as a civil servant (A Banker), we are not allowed to operate any foreign account and would eventually raise an eye brow on my side during the time of transfer because I work in the same bank. This is the actual reason why it will require a second party or fellow who will forward claims as the next of kin to the Bank and also present a foreign account where he will need the money to be re-transferred into on his request as it may be after due verification and clarification by the correspondent branch of the bank where the whole money will be remitted from to your own designation bank account. I don�t want this money to go into the Bank treasury as unclaimed Bill, I agree that 30 % of this money will be for you as foreign partner, in respect to the provision of a foreign account, 10 % will be set aside for expenses incurred during the business and 60 % would be for me. There after I will visit your country for disbursement according to the percentages indicated. Therefore to enable immediate transfer of this fund to you as arranged, you must apply first to the bank as relations or next of kin of the deceased indicating your bank name, your bank account number, your private telephone and fax number for easy and effective communication and location where in the money will be remitted. All modalities of this transaction have been carefully worked out and once started will not take more than fourteen (14) working days, with your full support. This transaction is 100% risk free. it involve no any implication and no any precaution there after. Upon receipt of your reply, I will send to you by fax or email the text of the application. I will not fail to bring to your notice that this transaction is hitch free and that you should not entertain any atom of fear as all required arrangements have been made for the transfer. You should contact me immediately as soon as you receive this letter reply to thi box. at; Trusting to hear from you immediately. Yours faithfully, Mr,KAREM AHMED Bill and exchange manager, BANK OF AFRICA _________________________________________________________________ Personnalisez votre Messenger avec Live.com http://www.windowslive.fr/livecom/


Sir Rod Stewart unveils epic model railway 26 years after construction started
Sir Rod Stewart’s model railway that has been 26 years in the making has finally been unveiled.
The rock singer’s model layout, called Grand Street and Three Rivers City, is based on an American city in the 1940s and spans 1,500 square ft.
The sprawling depiction of a post-war, heavily industrialised city was inspired by his love of American railroads, and includes skyscrapers – some of which are 5ft tall – bridges, a rush hour traffic scene, “transition era” facilities for both steam and diesel traction, and a power station.
There is even a Celtic FC liveried bogie open coal wagon representing an American gondola, a nod to his beloved football team.
The display – which was debuted in the December issue of Railway Modeller magazine – also includes a Great Caledonian Steel & Iron Co building in reference to his Scottish heritage, and a green backdrop of the leafy areas around the city.
Sir Rod, 74, started the project in 1993 at his home in Los Angeles, which included an attic room specifically for the grand railway layout.
Over the years, he would book an extra room in hotels when away on tour to work on his models, and he said that many of his skyscrapers were constructed “on location”.
Sir Rod told the magazine: “We would tell them in advance and they were really accommodating, taking out the beds and providing fans to improve air circulation and ventilation.”
His love of model railways started in his childhood when he lived on Archway Road in north London, near to the London Transport Highgate Depot and the Wellington Sidings coal yard.
He was on holiday with his parents in Bognor Regis at the age of around eight or nine when he saw a railway layout in a model railway shop window, and he said he recalls “thinking if only I could get paid to build a model railway like that”.
On why he based his biggest model railway project on the American railroad rather than the British railways he grew up with, he told the publication: “They’re bigger, the locos are bigger, but not any better, everything is just bigger.”
The Da Ya Think I’m Sexy? singer worked tirelessly to create “great depth” in his construction, with intricate details on the buildings, the trains and even the trees.
Sir Rod said that he does not “like to see flat backdrops, they spoil the illusion, so I went for more buildings and streets than tracks.”
He added: “It’s the landscape I like. Attention to detail, extreme detail, is paramount. There shouldn’t be any unsightly gaps, or pavements that are too clean.”
However, despite its depth and attention to detail, Sir Rod said that he does not “build mock-ups, or do sketches to try things out, I think I’ve just got a good eye for this sort of thing.
“You know if a model isn’t going to work out within the first week of its construction.”
Sir Rod is celebrating his 50-year career with a new album, You’re In My Heart: Rod Stewart With The Royal Philharmonic Orchestra, released on November 22.
The December issue of Railway Modeller magazine is on sale on November 14.


{{template "header.html" .}}
Use Timestamp.fun to convert unix/epoch timestamps to dates or dates back to timestamps.


{{clientSideTech}}
{{serverSideTech}}
{{cont}}
Express.js middleware for uploading files either to AWS or google cloud or local file system. File either can be sent as base64 encoded string or in multi part form data (It is also published on npm on the link)
Simple node.js command line application for generating data access entities based on config written in yaml file (It is also published on npm on the link)
Middleware for filtering json object before passing them to reducer (It is also published on npm on the link)


About
Pat at Pat's Salmon Cookies has come up with a business idea of combining two signature Seattle icons: Pat has developed a recipe for a coffee-time confection called Salmon Cookies. These cookies are made into the shape of a salmon that has just a hint of fishy goodness.
Contact us in Seattle:
555-555-6789
Pat's Salmon Cookies
1234 This is some adress RD
Inacity, WA 13264
Hours
Mon - Sat : 6:00 AM - 7:00 PM
Here are some amazing things you can see at Pat's Cookie Store:
Tokyo
Pat's Salmon Cookies
1234 This is some adress RD
Inacity, Japan 13264
Mon - Sat : 6:00 AM - 7:00 PM
Dubai
Pat's Salmon Cookies
1234 This is some adress RD
Inacity, Dubai 13264
Mon - Sat : 6:00 AM - 7:00 PM
Paris
Pat's Salmon Cookies
1234 This is some adress RD
Inacity, Paris 13264
Mon - Sat : 6:00 AM - 7:00 PM
Lima
Pat's Salmon Cookies
1234 This is some adress RD
Inacity, Lima 13264
Mon - Sat : 6:00 AM - 7:00 PM


{% extends "defcdb/base.html" %} {% load staticfiles %} {% block content %}
The datasets are based on digital and analog resources of research projects of the research group Anatolian Aegean Prehistoric Phenomena (AAPP) at the Institute for Oriental and European Archaeology (OREA) of the Austrian Academy of Sciences. Greece and Western Anatolia are two neighbouring and archaeologically closely related regions. They are, however, usually studied in isolation from each other and have therefore developed different terminologies and chronologies. Direct results of this de facto separation are not only huge amounts of fragmented research data but also several different models and standards for ordering and describing more or less the same kind of data. To pose and answer archaeological research questions concerning the whole territory, the information must be harmonized. The DEFC project aims to harmonize the existing data, to digitize analog resources and make metadata available to facilitate access and reuse this data.


Lorem ipsum dolor sit amet, consectetur adipisicing elit. Ipsa, ipsam, eligendi, in quo sunt possimus non incidunt odit vero aliquid similique quaerat nam nobis illo aspernatur vitae fugiat numquam repellat.
Call to action!Hold fast to your dreams soon they will die life is a broken a broken-winged bird who always will try but never will fly who never will fly and never get heard hold fast to your dreams for when dreams will go life is a barren field frozen with snow which never will feed any kind of hope any kind of hope no place to lie low hold fast to your dreams they wont come true and if you think your life is under control and you don't know how high to rise how high to rise until you fall hold fast to your dreams as strong as you can reality fights against you every day trying to break your hope apart your hope apart and leave you astray life after life and age after age timorous soul wide awake life after life and age after age sun beaten path which way to take life after life and age after age when do we start to believe life after life and age after age name fame or love what to achieve
I'm tricked by your smile Want to be forgiven Waiting for the battle Aching for belief But your answer is wrong And my spirit is broken Like choirs in the winter Singing out of key I am silent Invisible to you While I count the days gone by I am silent Invisible to you While I shape the things to come I am silent Invisible to you While I count the days gone by I try so hard To fight for an illusion Holding my breath Biting my tongue I try to cope So give me a reason I'm waiting for help I'm trapped by my guilt Want to be forgotten Tired of the noise Aching for relief But your anger is gone And my silence is golden Like fires on the water Drifting out of reach
Eyes betray the soul and bear its thinking Beyond words, they say so many things to me A stranger here, reborn it seems Awaking wonders deep in me If nothing's ventured, nothing's gained So I must seize the day And fighting time, so hard I pray That this moment lasts forever And will the world stay standing still, at least for me Through my eyes, stare into me I bear my heart for all to see With my face turned to the sun, there ever standing still It wasn't you, it wasn't me, it wasn't anything It was a day so long awaited and a chance to be as me I let the wind run through my hands Before I turned to walk away In distant days, I long to sense it, all so clear And fighting time, so hard I pray That this moment lasts forever And will the world stay standing still, at least for me Through my eyes stare into me I bear my heart for all to see With my face turned to the sun, there ever standing still I had no faith before that time in any vow or deed Days followed days and years were meaningless Despite the wisdom of defeat I bore my heart for all to see, the wonders I'd seen The wonders I'd seen
Too much hunger in some days How much longer must we wait Promised wonders everyday Take some more to feel OK Lay the table - act of grace You're not able - lost of face From the cradle to the grave Take some more to feel OK Take some more - to feel OK Take some more - carry the day On your marks and keep ahead With the aim to stay in the red Friend are cut out - it's your game Take some more to feel OK Take some more - to feel OK Take some more - carry the day (Talk about destruction) Depression comes in many flavors Feelings of sadness Frustration and unhappiness Unnatural reactions to real life problems But here're the statistics: More and more teenagers Suffered by psychic diseases Caused by chemical and designer drugs The suicide rate is increasing The suicide rate is increasing


At last! Say goodbye to lack-of-Hooting-Yard-paperback misery by clutching to your bosom a collection of fifty two stories lovingly collected together in book form! Now, you will be able to perch at the bedside of a pallid and sickly tot and never be at a loss for something to read by candlelight to the wan infant, in between mopping its brow and feeding it spoonfuls of milk of magnesia or some kind of fuming brain tonic. Simply click on the picture below to order your copy.


| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 10 | Argument $attributes is missing from the Docblock of __construct |
| error | 10 | No summary for method __construct() |
| error | 29 | The type for the param tag $string in validate_string_length() is either "type" or "unknown"; isn't this an IDE default? |
| error | 29 | The type for the param tag $message in validate_string_length() is either "type" or "unknown"; isn't this an IDE default? |
| error | 29 | The type for the param tag $min in validate_string_length() is either "type" or "unknown"; isn't this an IDE default? |
| error | 29 | The type for the param tag $max in validate_string_length() is either "type" or "unknown"; isn't this an IDE default? |
| error | 44 | The type for the param tag $string in validate_required_fields() is either "type" or "unknown"; isn't this an IDE default? |
| error | 44 | The type for the param tag $message in validate_required_fields() is either "type" or "unknown"; isn't this an IDE default? |
| error | 80 | The type for the param tag $req in merge_validations() is either "type" or "unknown"; isn't this an IDE default? |
| error | 80 | The type for the param tag $length in merge_validations() is either "type" or "unknown"; isn't this an IDE default? |
| error | 8 | No summary for property $validators |
| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 17 | The type for the param tag $attributes in __construct() is either "type" or "unknown"; isn't this an IDE default? |
| error | 17 | No summary for method __construct() |
| error | 27 | No summary for method all() |
| error | 55 | The type for the param tag $ktunnus in find() is either "type" or "unknown"; isn't this an IDE default? |
| error | 55 | No summary for method find() |
| error | 110 | Name of argument $kayttajanimi does not match with the DocBlock's name $kayttajanimi, in authenticate() |
| error | 110 | Argument $salasana is missing from the Docblock of authenticate |
| error | 110 | Name of argument $salasana does not match with the DocBlock's name $kayttajanimi, in authenticate() |
| notice | 110 | Parameter $kayttajanimi, could not be found in authenticate() |
| error | 110 | No summary for method authenticate() |
| error | 139 | The type for the param tag $ktunnus in findAllIlmoittautumiset() is either "type" or "unknown"; isn't this an IDE default? |
| error | 139 | No summary for method findAllIlmoittautumiset() |
| error | 172 | No summary for method validate_kayttajanimi() |
| error | 183 | No summary for method validate_salasana() |
| error | 194 | No summary for method validate_nimi() |
| error | 205 | No summary for method validate_paaaine() |
| error | 215 | No summary for method validate_duplicate_kayttajanimi() |
| error | 10 | No summary for property $ktunnus |
| error | 10 | No summary for property $nimi |
| error | 10 | No summary for property $kayttajanimi |
| error | 10 | No summary for property $salasana |
| error | 10 | No summary for property $paaaine |
| error | 10 | No summary for property $sijoitus |
| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 16 | The type for the param tag $attributes in __construct() is either "type" or "unknown"; isn't this an IDE default? |
| error | 26 | The type for the param tag $kilpailutunnus in findAll() is either "type" or "unknown"; isn't this an IDE default? |
| error | 59 | The type for the param tag $sarjatunnus in getAllClassCompetitors() is either "type" or "unknown"; isn't this an IDE default? |
| error | 119 | The type for the param tag $sijoitusjar in validateJarjestys() is either "type" or "unknown"; isn't this an IDE default? |
| error | 144 | The type for the param tag $sijoitusjar in checkEightOrMorePlacings() is either "type" or "unknown"; isn't this an IDE default? |
| error | 172 | The type for the param tag $sijoitusjar in checkUnderEightPlacings() is either "type" or "unknown"; isn't this an IDE default? |
| error | 188 | The type for the param tag $sijoitusjar in checkFourPlacings() is either "type" or "unknown"; isn't this an IDE default? |
| error | 10 | No summary for property $sarjatunnus |
| error | 10 | No summary for property $kilpailutunnus |
| error | 10 | No summary for property $painoluokka |
| error | 10 | No summary for property $vyoarvo |
| error | 10 | No summary for property $sarjan_osallistujat |
| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 12 | The type for the param tag $attributes in __construct() is either "type" or "unknown"; isn't this an IDE default? |
| error | 21 | The type for the param tag $newOrOld in all() is either "type" or "unknown"; isn't this an IDE default? |
| error | 53 | The type for the param tag $kilpailutunnus in find() is either "type" or "unknown"; isn't this an IDE default? |
| error | 172 | The type for the param tag $int in testRange() is either "type" or "unknown"; isn't this an IDE default? |
| error | 172 | The type for the param tag $min in testRange() is either "type" or "unknown"; isn't this an IDE default? |
| error | 172 | The type for the param tag $max in testRange() is either "type" or "unknown"; isn't this an IDE default? |
| error | 7 | No summary for property $kilpailutunnus |
| error | 7 | No summary for property $kilpailun_nimi |
| error | 7 | No summary for property $kilpailupaikka |
| error | 7 | No summary for property $ajankohta |
| error | 7 | No summary for property $kilpailun_kuvaus |
| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 14 | Argument $attributes is missing from the Docblock of __construct |
| error | 14 | No summary for method __construct() |
| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 25 | The type for the param tag $kilpailutunnus in showKilpailunSivu() is either "type" or "unknown"; isn't this an IDE default? |
| error | 36 | The type for the param tag $kilpailutunnus in showIlmoittautuminen() is either "type" or "unknown"; isn't this an IDE default? |
| error | 57 | The type for the param tag $kilpailutunnus in showTulokset() is either "type" or "unknown"; isn't this an IDE default? |
| error | 70 | The type for the param tag $sarja in removeNullResults() is either "type" or "unknown"; isn't this an IDE default? |
| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 34 | The type for the param tag $kilpailutunnus in viewMuokattava() is either "type" or "unknown"; isn't this an IDE default? |
| error | 47 | The type for the param tag $kilpailutunnus in viewMuokattavaTulokset() is either "type" or "unknown"; isn't this an IDE default? |
| error | 126 | The type for the param tag $kilpailutunnus in update() is either "type" or "unknown"; isn't this an IDE default? |
| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 38 | The type for the param tag $ktunnus in view() is either "type" or "unknown"; isn't this an IDE default? |
| error | 50 | The type for the param tag $ktunnus in edit() is either "type" or "unknown"; isn't this an IDE default? |
| error | 62 | The type for the param tag $ktunnus in update() is either "type" or "unknown"; isn't this an IDE default? |
| error | 93 | The type for the param tag $ktunnus in destroy() is either "type" or "unknown"; isn't this an IDE default? |
| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 3 | No summary for class \login_controller |
| Type | Line | Description |
|---|---|---|
| error | 0 | No summary was found for this file |
| error | 15 | The type for the param tag $kilpailutunnus in store() is either "type" or "unknown"; isn't this an IDE default? |
| error | 15 | The type for the param tag $alemmat_painoluokat in store() is either "type" or "unknown"; isn't this an IDE default? |
| error | 15 | The type for the param tag $ylemmat_painoluokat in store() is either "type" or "unknown"; isn't this an IDE default? |
| error | 32 | The type for the param tag $kilpailutunnus in ilmoittaudu() is either "type" or "unknown"; isn't this an IDE default? |
| error | 61 | The type for the param tag $painoluokka in luoSarjat() is either "type" or "unknown"; isn't this an IDE default? |
| error | 61 | The type for the param tag $kilpailutunnus in luoSarjat() is either "type" or "unknown"; isn't this an IDE default? |
| error | 61 | The type for the param tag $vyoarvo in luoSarjat() is either "type" or "unknown"; isn't this an IDE default? |
| error | 89 | The type for the param tag $kilpailutunnus in add() is either "type" or "unknown"; isn't this an IDE default? |
| error | 107 | The type for the param tag $sarjatunnus in destroyIlmoittautuminen() is either "type" or "unknown"; isn't this an IDE default? |


This is a home page for the school management system
this is the github edited version
this is the sublime merge git pull


Documentation
Welcome to Falco's documentation, visit the getting started page for installation and a brief overview. There is also a more detailed Tutorial that shows how to create a small but complete application with Falco. The rest of the docs describe each component of Falco in detail.
Guides
Falco depends only on the high-performance base components of .NET and ASP.NET Core, and provides a toolset to build a working full-stack web application. This section of the documentation explains the different parts of Falco and how they can be used, customized, and extended. Beyond Falco itself, look for community-maintained extensions to add even more functionality.


| nrvr.util.download | index /usr/lib/python2.7/site-packages/nrvr/util/download.py |
nrvr.util.download - A download manager
Class provided by this module is Download.
Works in Linux and Windows.
Idea and first implementation - Leo Baschy <srguiwiz12 AT nrvr DOT com>
Public repository - https://github.com/srguiwiz/nrvr-commander
Copyright (c) Nirvana Research 2006-2015.
Simplified BSD License
| Modules | ||||||
|
| Classes | ||||||||||
|
|


Donate to PlatformIO Project The only open-source and vendor-agnostic ecosystem for embedded development
PlatformIO is free and open-source software. Please consider making a donation to ensure it continues to thrive and remain independent for years to come.


Nutrition is 70% of the battle and Training is 30%. You could work out for 2 hours, but if you're not eating well, your cries will fall upon deaf ears.
The lifeline for most people. This liquid sensation that's hitting the nation speeds up your bodies metabolism. A quick Coffee in the morning with your meal will do you justice!
Probably just as important as training and dieting. Muscles dont grow when you train, the muscle fibers are broken down. They get replenished with proper dieiting and plenty of sleep. You grow in your sleep, so if you want results get to resting!
Sometimes you need that extra push of motivation. Find a gym buddy or make a new friend at your gym and push those gains to the limit!
Drinking plenty of water is an essential part of staying healthy. For men, the consumption of approx 3.7L (13 glasses of water) is a a standard and for women, 2.7L (9 glasses of water) per day. Your body is comprised of approximately 70-75% water
In order to speed up your metabolism you have to follow certain guidelines.  Everyones favorite beverage, coffee is a stimulant that increases the bodies metabolic rate.
At the end of the day eating well can only get you so far. It's time to get off the couch and drop those Doritos and head over to the gym to burn off some fat. Whether you're a beginner or familiar with the gym, training is important for everyone, so lets have fun and get started!


@* * Copyright 2015 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @(article: Html = HtmlFormat.empty, mainClass: Option[String] = None, mainDataAttributes: Option[Html] = None, mainContentHeader: Html = HtmlFormat.empty, actingAttorneyBanner: Html = HtmlFormat.empty, sidebar: Html = HtmlFormat.empty, getHelpForm: Html = HtmlFormat.empty, betaBanner: Html, includeGridWrapper: Boolean, name: Option[String], previouslyLoggedInAt: Option[org.joda.time.DateTime])(implicit breadcrumb: uk.gov.hmrc.play.breadcrumb.model.Breadcrumb) @pertaxMainContentHeader = { @if(!breadcrumb.isEmpty) { @breadcrumbTag(breadcrumb, showLastItem = true) } @mainContentHeader } @serviceInfoContent = {
@for(previouslyLoggedInAt <- previouslyLoggedInAt) { @Messages("global.label._last_signed_in", name.fold("You")(_ + ", you"), uk.gov.hmrc.pertax.integration.util.DateTimeTools.detailed(previouslyLoggedInAt)) }


--- layout: post status: publish published: true title: Legalism, Liberty and Ease author: Ryan Hayden wordpress_id: 1279 wordpress: 1279 date: '2013-06-21 07:50:32 -0500' date_gmt: '2013-06-21 12:50:32 -0500' categories: - Fundamentalism - ministry tags: - legalism - liberty - ease ---
Over the last couple of days, I’ve been listening to a couple of sermons by Dr. Les Ollila from “The Crossroads Conference.” I don’t know Dr. O. (Although my old pastor spoke very highly of him.) I’ve had no exposure to Northland and thus I’m not prepared to comment on all that is going on there now. I’m just saying that these two messages are awesome.
I especially enjoyed the one entitled “A Good Legacy Does Not Guarantee a Good Future”. In it, Dr. Ollila made an off the cuff remark about our generation that I found cuts to the core:
Toughness isn’t legalism - that’s called life. Isn’t it amazing that anything where I have to say no to me suddenly becomes legalism. Where in the world does that come from? Getting out of bed in the morning isn’t legalism, that’s called life.
That admitted, I also think legalism may be the most overused and misunderstood term today (liberty coming in a close second.) A lifestyle of hedonism or epicureanism can conveniently hide behind accusations of legalism. It’s all too easy to look at any behavior which is difficult or which could bring us opposition from the world, label it legalism, and never wrestle with the hard things of the Christian life.
It’s pretty clear from scripture that the Christian life is meant to be many things, but the modern american kind of easy probably isn’t one of them. We are in warfare, not on welfare. My own heart is convicted about how I often explain away my easy lifestyle.
Anyways, they’re good messages and I commend them to you. You can find them here:


# Neural Machine Translation Model
## Background Introduction
Neural Machine Translation (NMT) is a simple new architecture for getting machines to learn to translate. Traditional machine translation methods are mainly based on phrase-based statistical translation approaches that use separately engineered subcomponents rules or statistical models. NMT models use deep learning and representation learning. This example describes how to construct an end-to-end neural machine translation (NMT) model using the recurrent neural network (RNN) in PaddlePaddle.
## Model Overview
RNN-based neural machine translation follows the encoder-decoder architecture. A common choice for the encoder and decoder is the recurrent neural network (RNN), used by most NMT models. Below is an example diagram of a general approach for NMT.
Figure 1. Encoder - Decoder frame p>
The input and output of the neural machine translation model can be any of character, word or phrase. This example illustrates the word-based NMT.
- **Encoder**: Encodes the source language sentence into a vector as input to the decoder. The original input of the decoder is the `id` sequence $ w = {w_1, w_2, ..., w_T} $ of the word, expressed in the one-hot code. In order to reduce the input dimension, and to establish the semantic association between words, the model is a word that is expressed by hot independent code. Word embedding is a word vector. For more information about word vector, please refer to PaddleBook [word vector] (https://github.com/PaddlePaddle/book/blob/develop/04.word2vec/README.cn.md) chapter. Finally, the RNN unit processes the input word by word to get the encoding vector of the complete sentence.
- **Decoder**: Accepts the input of the encoder, decoding the target language sequence $ u = {u_1, u_2, ..., u_ {T '}} $ one by one. For each time step, the RNN unit outputs a hidden vector. Then the conditional probability of the next target word is calculated by `Softmax` normalization, i.e. $ P (u_i | w, u_1, u_2, ..., u_ {t- 1}) $. Thus, given the input $ w $, the corresponding translation result is $ u $
$$ P(u_1,u_2,...,u_{T'} | w) = \prod_{t=1}^{t={T'}}p(u_t|w, u_1, u_2, u_{t-1})$$
In Chinese to English translation, for example, the source language is Chinese, and the target language is English. The following is a sentence after the source language word segmentation.
```
祝愿 祖国 繁荣 昌盛
```
Corresponding target language English translation results for:
```
Wish motherland rich and powerful
```
In the preprocessing step, we prepare the parallel corpus data of the source language and the target language. Then we construct the dictionaries of the source language and the target language respectively. In the training stage, we use the pairwise parallel corpus training model. In the model test stage, the model automatically generates the corresponding English translation, and then it evaluates the resulting results with standard translations. For the evaluation metric, BLEU is most commonly used.
### RNN unit
The original structure of the RNN uses a vector to store the hidden state. However, the RNN of this structure is prone to have gradient vanishing problem, which is difficult to model for a long time. This issue can be addressed by using LSTM \[[1](#References)] and GRU (Gated Recurrent Unit) \[[2](#References)]. This solves the problem of long-term dependency by carefully forgetting the previous information. In this example, we demonstrate the GRU based model.
图 2. GRU 单元
We can see that, in addition to the implicit state, the GRU also contains two gates: the Update Gate and the Reset Gate. At each time step, the update of the threshold and the hidden state is determined by the formula on the right side of Figure 2. These two thresholds determine how the state is updated.
### Bi-directional Encoder
In the above basic model, when the encoder sequentially processes the input sentence sequence, the state of the current time contains only the history input information without the sequence information of the future time. For sequence modeling, the context of the future also contains important information. With the bi-directional encoder (Figure 3), we can get both information at the same time:
Figure 3. Bi-directional encoder structure diagram
The bi-directional encoder \[[3](#References)\] shown in Figure 3 consists of two independent RNNs that encode the input sequence from the forward and backward, respectively. Then it combines the outputs of the two RNNs together, as the final encoding output.
In PaddlePaddle, bi-directional encoders can easily call using APIs:
```python
src_word_id = paddle.layer.data(
name='source_language_word',
type=paddle.data_type.integer_value_sequence(source_dict_dim))
# source embedding
src_embedding = paddle.layer.embedding(
input=src_word_id, size=word_vector_dim)
# bidirectional GRU as encoder
encoded_vector = paddle.networks.bidirectional_gru(
input=src_embedding,
size=encoder_size,
fwd_act=paddle.activation.Tanh(),
fwd_gate_act=paddle.activation.Sigmoid(),
bwd_act=paddle.activation.Tanh(),
bwd_gate_act=paddle.activation.Sigmoid(),
return_seq=True)
```
### Beam Search Algorithm
After the training is completed, the model will input and decode the corresponding target language translation result according to the source language. Decoding, a direct way is to take each step conditional probability of the largest word, as the current moment of output. But the local optimal does not necessarily guarantee the global optimal. If the search for the full space is large, the cost is too large. In order to solve this problem, beam search algorithm is commonly used. Beam search is a heuristic graph search algorithm that controls the search width with a parameter $ k $] as follows:
**1**. During decoding, always maintain $ k $ decoded sub-sequences;
**2**. At the middle of time $ t $, for each sequence in the $ k $ sub-sequence, calculate the probability of the next word and take the maximum of $ k $ words with the largest probability, combining $ k ^ 2 $ New child sequence;
**3**. Take the maximum probability of $ k $ in these combination sequences to update the original subsequence;
**4**. iterate through it until you get $ k $ complete sentences as candidates for translation results.
For more information on beam search, refer to the [beam search] chapter in PaddleBook [machine translation] (https://github.com/PaddlePaddle/book/blob/develop/08.machine_translation/README.cn.md) (https://github.com/PaddlePaddle/book/blob/develop.org.machine_translation/README.cn.md# beam search algorithm) section.
### Decoder without Attention mechanism
- In the relevant section of PaddleBook (https://github.com/PaddlePaddle/book/blob/develop/08.machine_translation/README.cn.md), the Attention Mechanism has been introduced. This example demonstrates Encoder-Decoder structure without attention mechanism. With regard to the attention mechanism, please refer to PaddleBook and references \[[3](#References)].
In PaddlePaddle, commonly used RNN units can be conveniently called using APIs. For example, `recurrent_layer_group` can be used to implement custom actions at each point in the RNN. First, customize the single-step logic function, and then use the function `recurrent_group ()` to cycle through the single-step logic function to process the entire sequence. In this case, the unattended mechanism of the decoder uses `recurrent_layer_group` to implement the function` gru_decoder_without_attention () `. Corresponding code is as follows:
```python
# the initialization state for decoder GRU
encoder_last = paddle.layer.last_seq(input=encoded_vector)
encoder_last_projected = paddle.layer.fc(
size=decoder_size, act=paddle.activation.Tanh(), input=encoder_last)
# the step function for decoder GRU
def gru_decoder_without_attention(enc_vec, current_word):
'''
Step function for gru decoder
:param enc_vec: encoded vector of source language
:type enc_vec: layer object
:param current_word: current input of decoder
:type current_word: layer object
'''
decoder_mem = paddle.layer.memory(
name="gru_decoder",
size=decoder_size,
boot_layer=encoder_last_projected)
context = paddle.layer.last_seq(input=enc_vec)
decoder_inputs = paddle.layer.fc(
size=decoder_size * 3, input=[context, current_word])
gru_step = paddle.layer.gru_step(
name="gru_decoder",
act=paddle.activation.Tanh(),
gate_act=paddle.activation.Sigmoid(),
input=decoder_inputs,
output_mem=decoder_mem,
size=decoder_size)
out = paddle.layer.fc(
size=target_dict_dim,
bias_attr=True,
act=paddle.activation.Softmax(),
input=gru_step)
return out
```
In the model training and testing phase, the behavior of the decoder is different:
- **Training phase**: The word vector of the target translation `trg_embedding` is passed as a parameter to the single step logic` gru_decoder_without_attention () `. The function` recurrent_group () `loop calls the single step logic execution, and finally calculates the target translation with the actual decoding;
- **Testing phase**: The decoder predicts the next word based on the last generated word, `GeneratedInput ()`. The automatic fetch model predicts the highest probability of the $ k $ word vector passed to the single step logic. Then the beam_search () function calls the function `gru_decoder_without_attention ()` to complete the beam search and returns as a result.
The training and generated returns are implemented in the following `if-else` conditional branches:
```python
group_input1 = paddle.layer.StaticInput(input=encoded_vector)
group_inputs = [group_input1]
decoder_group_name = "decoder_group"
if is_generating:
trg_embedding = paddle.layer.GeneratedInput(
size=target_dict_dim,
embedding_name="_target_language_embedding",
embedding_size=word_vector_dim)
group_inputs.append(trg_embedding)
beam_gen = paddle.layer.beam_search(
name=decoder_group_name,
step=gru_decoder_without_attention,
input=group_inputs,
bos_id=0,
eos_id=1,
beam_size=beam_size,
max_length=max_length)
return beam_gen
else:
trg_embedding = paddle.layer.embedding(
input=paddle.layer.data(
name="target_language_word",
type=paddle.data_type.integer_value_sequence(target_dict_dim)),
size=word_vector_dim,
param_attr=paddle.attr.ParamAttr(name="_target_language_embedding"))
group_inputs.append(trg_embedding)
decoder = paddle.layer.recurrent_group(
name=decoder_group_name,
step=gru_decoder_without_attention,
input=group_inputs)
lbl = paddle.layer.data(
name="target_language_next_word",
type=paddle.data_type.integer_value_sequence(target_dict_dim))
cost = paddle.layer.classification_cost(input=decoder, label=lbl)
return cost
```
## Data Preparation
The data used in this example is from [WMT14] (http://www-lium.univ-lemans.fr/~schwenk/cslm_joint_paper/), which is a parallel corpus of French-to-English translation. Use [bitexts] (http://www-lium.univ-lemans.fr/~schwenk/cslm_joint_paper/data/bitexts.tgz) as training data, [dev + test data] (http://www-lium.univ-lemans.fr/~schwenk/cslm_joint_paper/data/dev+test.tgz) as validation and test data. PaddlePaddle has been packaged in the data set of the read interface, in the first run, the program will automatically complete the download. Users do not need to manually complete the relevant data preparation!
## Model Training and Testing
### Model Training
Starting the model training is very simple, just in the command line window to execute `python train.py`. The `train ()` function in the `train.py` script of the model training phase completes the following logic:
**a) Define the network, parse the network structure, initialize the model parameters.**
```python
# define the network topolgy.
cost = seq2seq_net(source_dict_dim, target_dict_dim)
parameters = paddle.parameters.create(cost)
```
**b) Set the training process optimization strategy. Define the training data to read `reader`**
```python
# define optimization method
optimizer = paddle.optimizer.RMSProp(
learning_rate=1e-3,
gradient_clipping_threshold=10.0,
regularization=paddle.optimizer.L2Regularization(rate=8e-4))
# define the trainer instance
trainer = paddle.trainer.SGD(
cost=cost, parameters=parameters, update_equation=optimizer)
# define data reader
wmt14_reader = paddle.batch(
paddle.reader.shuffle(
paddle.dataset.wmt14.train(source_dict_dim), buf_size=8192),
batch_size=55)
```
**c) Define the event handle, print the training intermediate results, save the model snapshot**
```python
# define the event_handler callback
def event_handler(event):
if isinstance(event, paddle.event.EndIteration):
if not event.batch_id % 100 and event.batch_id:
with gzip.open(
os.path.join(save_path,
"nmt_without_att_%05d_batch_%05d.tar.gz" %
event.pass_id, event.batch_id), "w") as f:
parameters.to_tar(f)
if event.batch_id and not event.batch_id % 10:
logger.info("Pass %d, Batch %d, Cost %f, %s" % (
event.pass_id, event.batch_id, event.cost, event.metrics))
```
**d) Start training**
```python
# start training
trainer.train(
reader=wmt14_reader, event_handler=event_handler, num_passes=2)
```
The output sample is
```text
Pass 0, Batch 0, Cost 267.674663, {'classification_error_evaluator': 1.0}
.........
Pass 0, Batch 10, Cost 172.892294, {'classification_error_evaluator': 0.953895092010498}
.........
Pass 0, Batch 20, Cost 177.989329, {'classification_error_evaluator': 0.9052488207817078}
.........
Pass 0, Batch 30, Cost 153.633665, {'classification_error_evaluator': 0.8643803596496582}
.........
Pass 0, Batch 40, Cost 168.170543, {'classification_error_evaluator': 0.8348183631896973}
```
### Generate Translation Results
In PaddlePaddle, it is also easy to use translated models to generate translated text.
1. First of all, please modify the `generate.py` script` main` passed to the `generate` function parameters to choose which saved model to use. The default parameters are as follows:
```python
generate(
source_dict_dim=30000,
target_dict_dim=30000,
batch_size=20,
beam_size=3,
model_path="models/nmt_without_att_params_batch_00100.tar.gz")
```
2. In the terminal phase, execute the `python generate.py` command. The` generate () `in the script executes the following code:
**a) Load the test sample**
```python
# load data samples for generation
gen_creator = paddle.dataset.wmt14.gen(source_dict_dim)
gen_data = []
for item in gen_creator():
gen_data.append((item[0], ))
```
**b) Initialize the model, execute `infer ()` for each input sample to generate `beam search` translation results**
```python
beam_gen = seq2seq_net(source_dict_dim, target_dict_dim, True)
with gzip.open(init_models_path) as f:
parameters = paddle.parameters.Parameters.from_tar(f)
# prob is the prediction probabilities, and id is the prediction word.
beam_result = paddle.infer(
output_layer=beam_gen,
parameters=parameters,
input=gen_data,
field=['prob', 'id'])
```
**c) Next, load the source and target language dictionaries, convert the sentences represented by the `id` sequence into the original language and output the results.**
```python
beam_result = inferer.infer(input=test_batch, field=["prob", "id"])
gen_sen_idx = np.where(beam_result[1] == -1)[0]
assert len(gen_sen_idx) == len(test_batch) * beam_size
start_pos, end_pos = 1, 0
for i, sample in enumerate(test_batch):
print(" ".join([
src_dict[w] for w in sample[0][1:-1]
])) # skip the start and ending mark when print the source sentence
for j in xrange(beam_size):
end_pos = gen_sen_idx[i * beam_size + j]
print("%.4f\t%s" % (beam_result[0][i][j], " ".join(
trg_dict[w] for w in beam_result[1][start_pos:end_pos])))
start_pos = end_pos + 2
print("\n")
```
Set the width of the beam search to 3, enter a French sentence. Then it automatically generate the corresponding test data for the translation results, the output format is as follows:
```text
Elles connaissent leur entreprise mieux que personne .
-3.754819 They know their business better than anyone .
-4.445528 They know their businesses better than anyone .
-5.026885 They know their business better than anybody .
```
- The first line of input for the source language.
- Second ~ beam_size + 1 line is the result of the `beam_size` translation generated by the column search
- the output of the same row is separated into two columns by "\ t", the first column is the log probability of the sentence, and the second column is the text of the translation result.
- the symbol `` represents the beginning of the sentence, the symbol `` indicates the end of a sentence, and if there is a word that is not included in the dictionary, it is replaced with the symbol ``.
So far, we have implemented a basic machine translation model using PaddlePaddle. We can see, PaddlePaddle provides a flexible and rich API. This enables users to easily choose and use a various complex network configuration. NMT itself is also a rapidly developing field, and many new ideas continue to emerge. This example is a basic implementation of NMT. Users can also implement more complex NMT models using PaddlePaddle.
## References
[1] Sutskever I, Vinyals O, Le Q V. [Sequence to Sequence Learning with Neural Networks] (https://arxiv.org/abs/1409.3215) [J]. 2014, 4: 3104-3112.
[2] Cho K, Van Merriënboer B, Gulcehre C, et al. [Learning phrase representations using RNN encoder-decoder for statistical machine translation (http://www.aclweb.org/anthology/D/D14/D14-1179 .pdf) [C]. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014: 1724-1734.
[3] Bahdanau D, Cho K, Bengio Y. [Neural machine translation by exclusive learning to align and translate] (https://arxiv.org/abs/1409.0473) [C]. Proceedings of ICLR 2015, 2015


Aztec Empire [at66], plain, in Imperia, peasants: 105
Last updated Turn #109
Aztec Empire [at66], plain, in Imperia, peasants: 105
------------------------------------------------------------------------
0: Garrison [dd7k], garrison, Imperial Empire, with four soldiers guards
0: Aztec Empire [at66].
21: Jupiter [m8j], Imperial Empire, duke, with six peasants, 34 archers,
21: two skirmishers, four riding horses, arrived from the north,
21: accompanied by:
21: Odin [y5z], Imperial Empire, with six peasants, 28 archers, two lt.
21: xbowmen, two skirmishers
21: Hera [g3f], Imperial Empire, with six peasants, five soldiers,
21: 17 pikemen, two skirmishers
21: Thor [r4g], Imperial Empire, with five peasants, five soldiers,
21: 19 pikemen, two skirmishers
21: Apollo [b5e], Imperial Empire, with eight peasants, 20 lt. xbowmen,
21: four skirmishers
21: Helios [p6i], Imperial Empire, with ten peasants, five pikemen,
21: two skirmishers
21: Eos [a2t], Imperial Empire, with 15 peasants, 29 soldiers,
21: two skirmishers
21: Lanthara [r4v], Imperial Empire, with six peasants, five soldiers,
21: ten pikemen, two skirmishers
21: Manis [h3g], Imperial Empire, with 13 peasants, 20 archers
21: Thrix [n3v], Imperial Empire, with nine peasants, five soldiers,
21: 25 archers, ten pikemen, ten lt. xbowmen, four skirmishers
21: Licia [i1l], Imperial Empire, with six peasants, ten soldiers,
21: 25 pikemen, two skirmishers
22: Nepenthe [j0u], refugee, went north.
22: Jupiter [m8j], Imperial Empire, duke, with six peasants, 34 archers,
22: two skirmishers, four riding horses, went south, accompanied by:
22: Odin [y5z], Imperial Empire, with six peasants, 28 archers, two lt.
22: xbowmen, two skirmishers
22: Hera [g3f], Imperial Empire, with six peasants, five soldiers,
22: 17 pikemen, two skirmishers
22: Thor [r4g], Imperial Empire, with five peasants, five soldiers,
22: 19 pikemen, two skirmishers
22: Apollo [b5e], Imperial Empire, with eight peasants, 20 lt. xbowmen,
22: four skirmishers
22: Helios [p6i], Imperial Empire, with ten peasants, five pikemen,
22: two skirmishers
22: Eos [a2t], Imperial Empire, with 15 peasants, 29 soldiers,
22: two skirmishers
22: Lanthara [r4v], Imperial Empire, with six peasants, five soldiers,
22: ten pikemen, two skirmishers
22: Manis [h3g], Imperial Empire, with 13 peasants, 20 archers
22: Thrix [n3v], Imperial Empire, with nine peasants, five soldiers,
22: 25 archers, ten pikemen, ten lt. xbowmen, four skirmishers
22: Licia [i1l], Imperial Empire, with six peasants, ten soldiers,
22: 25 pikemen, two skirmishers
25: Cleevr Wun [c2z], refugee, arrived from the north.
28: Cleevr Wun [c2z], refugee, went south.
29: It has begun to rain.
30: The population grows by one peasant.
Routes leaving Aztec Empire:
North, plain, to Aztec Empire [as66], 7 days
Garrison [gg0y], garrison, uncontrolled, with ten peasants
East, plain, to Buffalo Plains [at67], 7 days
South, plain, to Aztec Empire [au66], 7 days
Garrison [ii6r], garrison, uncontrolled, with two soldiers
West, plain, to Buffalo Plains [at65], 7 days
Inner locations:
Rocky hill [ae2e], rocky hill, 1 day
It is raining.
Seen here:
Garrison [dd7k], garrison, uncontrolled, with four soldiers
Cleevr Wun [c2z], refugee


Computation :: Strings
- number_format(num,places,dec,sep)
- Returns a string representing the given number rounded to a number of decimal places and using the given characters for decimal mark and thousands separator.
- speakable_password(length)
- Returns a random, speakable passowrd of the given length.
- string_add_spaces(str)
- Returns the given string with spaces inserted between each character.
- string_escape(str)
- Returns the given string with all escape sequences parsed.
- string_extract(str,sep,index)
- Returns the element at the given index within a string of elements.
- string_left(str,num)
- Returns a number of characters from the start of a string.
- string_limit(string,length,ext)
- Returns a given string, truncated if it exceeds a certain length.
- string_lpad(str,length,padstr)
- Returns a string padded to a certain length by inserting another string to its left. eg. string_lpad("1234", 7, "0") == "0001234"
- string_ltrim(str)
- Returns the given string with whitespace stripped from its start.
- string_nato(text)
- Returns a given string as expressed by the NATO phonetic alphabet.
- string_parse(str,token,ignore)
- Returns a ds_list containing all substring elements within a given string which are separated by a given token.
- string_parse_number(str,token,ignore)
- Returns the number of substring elements within a given string and separated by a given token.
- string_parse_single(str,token,n,ignore)
- Returns the nth substring from a string of elements separated by a given token, or the separator token if an error occurred.
- string_random(str,length)
- Returns a string of a given length composed of characters randomly selected from a given set.
- string_remove_whitespace(str [, sub])
- Consolidates and removes all whitespace from a string, optionally replacing it with a character or string.
- string_reverse(str)
- Returns a given string with the characters in reverse order.
- string_right(str,num)
- Returns a number of characters from the end of a string.
- string_rpad(str,length,padstr)
- Returns a string padded to a certain length by adding another string to its right.
- string_rpos(substr,str)
- Returns the right-most position of a substring within a string.
- string_rtrim(str)
- Returns the given string with whitespace stripped from its end.
- string_shuffle(str)
- Returns a given string with charactars shuffled.
- string_split(str,num,break)
- Returns a string with break characters inserted at a given interval.
- string_stagger_case(str,spaces,first)
- Returns a string with the letters in staggered case, such as: "hElLo! hOw ArE yOu ToDaY?"
- string_trim(str)
- Returns the given string with whitespace stripped from its start and end.
- string_ucfirst(str)
- Returns a string with the first character capitalized.
- string_ucwords(str)
- Returns a string with each word capitalized.
- string_wordwrap(string,length,break,split)
- Returns a string with break characters inserted between words at a given character interval.


--- layout: post title: Kind Over Matter date: 2010-12-20 02:00:45.000000000 -05:00 categories: [] tags: [] status: draft type: post published: false meta: _edit_last: '1' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
Kind over matter is a blog I have been following for some time. Full of postitive posts and links to other worthy sites. There was a post with freebie printouts. I have made the most of this and now have some beautiful gift tags to adorn our presents. My poor printer doesn't know what's struck it! Check out it out with this link


{% extends "cascade/base.html" %} {% block content %}
on Jul 3, 2019
CASCADE is a stereochemically-aware online calculator for NMR chemical shifts using a graph network approach developed at Colorado State University. This provides chemical shift predictions trained to achieve DFT-levels of accuracy within seconds: the average error against 5,100 testing experimental shifts is 1.43 ppm for 13C. The CASCADE methodology, training data used, and typical performance statistics are all described in the following publication: XXX. The underlying code and training data are also made available through GitHub
The current online release is limited to the prediction of C13 chemical shifts. Query structures can be input via graphical interface or SMILES input. This launches 3D-structure generation, conformational search, and a prediction of chemical shifts for the Boltzmann-weighted ensemble. More features are under development. Use the Predict tab to explore more.
This website is currently being tested internally. Stay tuned for more updates!
on Jul 19, 2019
CASCADE is now open and being tested worldwide. Please feel free to email us any feedback or comment.
{% for new in news %}on {{new.date_posted}}
{{ new.content }}
{% endfor %}More cool stuffs are coming.


I'm Brent Rambo! I've been hacking since I was a wee lad. Nobody can even touch these mad skills I have. And now I'm learning how to build Web Apps, because they're pretty cool! If you're in need of a web developer, look no further!
I'm a Freshman at the University of Louisville and an active member of the Speed ACM; voted no. 1 club on campus by ACM Members!
I'm good at building web apps, but that's pretty self-evident. I mean, look at this wicked portfolio!


Nobody was home at the time I chose to do this task so I had a mindfulness conversation with my dog Dakota (pictured below). She was not able to repeat what the conversation was about so I think the mindfulness was really a one way street in this instance and I was the only active listener unfortunately. But I don't like the idea in general it seems a bit forced to awkwardly repeat what the conversation is about. Actively giving your attention to someone is a good aim but the other supposed behaviours of a mindful conversation such as repeating or recapping afterwards seemed disingenuous to me. I think a better way to have a mindfulness conversation would be to look beyond the actual words that someone is saying, as sometimes even simple sentences about something inconsequential have a lot said in the persons body language, tone and what they don't say sometimes says more.
What I did do was go for a walking meditation which was quite good. I don't think its a good substitute to sitting meditation but it is a good addition to trying to bring mindfulness into everyday activities especially since I have a ten minute walk to Dev Academy most days. So this will be the one of the three techniques I will use to start trying to form a habit, and I think it will be easier to keep up than sitting meditation because I have to do it anyway.


func BuildConfigEndpointFromOptions(opts ...interface{}) (fab.EndpointConfig, error)
BuildConfigEndpointFromOptions will return an EndpointConfig instance pre-built with Optional interfaces provided in fabsdk's WithEndpointConfig(opts...) call
func ConfigFromBackend(coreBackend ...core.ConfigBackend) (fab.EndpointConfig, error)
ConfigFromBackend returns endpoint config implementation for given backend
func IsEndpointConfigFullyOverridden(c *EndpointConfigOptions) bool
IsEndpointConfigFullyOverridden will return true if all of the argument's sub interfaces is not nil (ie EndpointConfig interface not fully overridden)
func UpdateMissingOptsWithDefaultConfig(c *EndpointConfigOptions, d fab.EndpointConfig) fab.EndpointConfig
UpdateMissingOptsWithDefaultConfig will verify if any functions of the EndpointConfig were not updated with fabsdk's WithConfigEndpoint(opts...) call, then use default EndpointConfig interface for these functions instead
BalancerType is the load-balancer type
type BalancerType string
const ( // RoundRobin (default) chooses endorsers in a round-robin fashion RoundRobin BalancerType = "RoundRobin" // Random chooses endorsers randomly Random BalancerType = "Random" )
ChannelEndpointConfig provides the definition of channels for the network
type ChannelEndpointConfig struct { // Orderers list of ordering service nodes Orderers []string // Peers a list of peer-channels that are part of this organization // to get the real Peer config object, use the Name field and fetch NetworkConfig.Peers[Name] Peers map[string]PeerChannelConfig //Policies list of policies for channel Policies ChannelPolicies }
ChannelPolicies defines list of policies defined for a channel
type ChannelPolicies struct { //Policy for querying channel block QueryChannelConfig QueryChannelConfigPolicy //Policy for querying discovery Discovery DiscoveryPolicy //Policy for endorser selection Selection SelectionPolicy //Policy for event service EventService EventServicePolicy }
ClientConfig provides the definition of the client configuration
type ClientConfig struct { Organization string TLSCerts ClientTLSConfig }
ClientTLSConfig contains the client TLS configuration
type ClientTLSConfig struct { //Client TLS information Client endpoint.TLSKeyPair }
DiscoveryPolicy defines policy for discovery
type DiscoveryPolicy struct { MinResponses int MaxTargets int RetryOpts retry.Opts }
EndpointConfig represents the endpoint configuration for the client
type EndpointConfig struct {
// contains filtered or unexported fields
}
func (c *EndpointConfig) ChannelConfig(name string) *fab.ChannelEndpointConfig
ChannelConfig returns the channel configuration
func (c *EndpointConfig) ChannelOrderers(name string) []fab.OrdererConfig
ChannelOrderers returns a list of channel orderers
func (c *EndpointConfig) ChannelPeers(name string) []fab.ChannelPeer
ChannelPeers returns the channel peers configuration
func (c *EndpointConfig) CryptoConfigPath() string
CryptoConfigPath ...
func (c *EndpointConfig) NetworkConfig() *fab.NetworkConfig
NetworkConfig returns the network configuration defined in the config file
func (c *EndpointConfig) NetworkPeers() []fab.NetworkPeer
NetworkPeers returns the network peers configuration, all the peers from all the orgs in config.
func (c *EndpointConfig) OrdererConfig(nameOrURL string) (*fab.OrdererConfig, bool)
OrdererConfig returns the requested orderer
func (c *EndpointConfig) OrderersConfig() []fab.OrdererConfig
OrderersConfig returns a list of defined orderers
func (c *EndpointConfig) PeerConfig(nameOrURL string) (*fab.PeerConfig, bool)
PeerConfig Retrieves a specific peer from the configuration by name or url
func (c *EndpointConfig) PeersConfig(org string) ([]fab.PeerConfig, bool)
PeersConfig Retrieves the fabric peers for the specified org from the config file provided
func (c *EndpointConfig) ResetNetworkConfig() error
ResetNetworkConfig clears network config cache
func (c *EndpointConfig) TLSCACertPool() fab.CertPool
TLSCACertPool returns the configured cert pool. If a certConfig is provided, the certificate is added to the pool
func (c *EndpointConfig) TLSClientCerts() []tls.Certificate
TLSClientCerts loads the client's certs for mutual TLS
func (c *EndpointConfig) Timeout(tType fab.TimeoutType) time.Duration
Timeout reads timeouts for the given timeout type, if type is not found in the config then default is set as per the const value above for the corresponding type
EndpointConfigOptions represents EndpointConfig interface with overridable interface functions if a function is not overridden, the default EndpointConfig implementation will be used.
type EndpointConfigOptions struct {
// contains filtered or unexported fields
}
EventServicePolicy specifies the policy for the event service
type EventServicePolicy struct { ResolverStrategy string MinBlockHeightResolverMode string Balancer BalancerType BlockHeightLagThreshold int PeerMonitor string ReconnectBlockHeightLagThreshold int PeerMonitorPeriod time.Duration }
MatchConfig contains match pattern and substitution pattern for pattern matching of network configured hostnames or channel names with static config
type MatchConfig struct { Pattern string // these are used for hostname mapping URLSubstitutionExp string SSLTargetOverrideURLSubstitutionExp string MappedHost string // this is used for Name mapping instead of hostname mappings MappedName string //IgnoreEndpoint option to exclude given entity from any kind of search or from entity list IgnoreEndpoint bool }
OrdererConfig defines an orderer configuration
type OrdererConfig struct { URL string GRPCOptions map[string]interface{} TLSCACerts endpoint.TLSConfig }
OrganizationConfig provides the definition of an organization in the network
type OrganizationConfig struct { MSPID string CryptoPath string Users map[string]endpoint.TLSKeyPair Peers []string CertificateAuthorities []string }
PeerChannelConfig defines the peer capabilities
type PeerChannelConfig struct { EndorsingPeer bool ChaincodeQuery bool LedgerQuery bool EventSource bool }
PeerConfig defines a peer configuration
type PeerConfig struct { URL string GRPCOptions map[string]interface{} TLSCACerts endpoint.TLSConfig }
QueryChannelConfigPolicy defines opts for channelConfigBlock
type QueryChannelConfigPolicy struct { MinResponses int MaxTargets int RetryOpts retry.Opts }
SelectionPolicy defines policy for selection
type SelectionPolicy struct { // SortingStrategy is the endorser sorting strategy to use SortingStrategy SelectionSortingStrategy // BalancerType is the balancer to use in order to load-balance calls to endorsers Balancer BalancerType // BlockHeightLagThreshold is the number of blocks from the highest block number of a group of peers // that a peer can lag behind and still be considered to be up-to-date. These peers will be sorted // using the given Balancer. If a peer's block height falls behind this threshold then it will be // demoted to a lower priority list of peers which will be sorted according to block height. // Note: This property only applies to BlockHeightPriority sorter BlockHeightLagThreshold int }
SelectionSortingStrategy is the endorser selection sorting strategy
type SelectionSortingStrategy string
const ( // BlockHeightPriority (default) is a load-balancing selection sorting strategy // which also prioritizes peers at a block height that is above a certain "lag" threshold. BlockHeightPriority SelectionSortingStrategy = "BlockHeightPriority" // Balanced is a load-balancing selection sorting strategy Balanced SelectionSortingStrategy = "Balanced" )
| Name | Synopsis |
|---|---|
| .. | |
| ccpackager | |
| gopackager | |
| channel | |
| membership | |
| chconfig | |
| comm | |
| discovery | |
| mocks | |
| events | |
| api | |
| client | |
| dispatcher | |
| lbp | |
| mocks | |
| peerresolver | |
| balanced | |
| minblockheight | |
| preferorg | |
| preferpeer | |
| deliverclient | |
| connection | |
| dispatcher | |
| mocks | |
| seek | |
| endpoint | |
| mocks | |
| service | |
| blockfilter | |
| headertypefilter | |
| dispatcher | |
| mocks | |
| keyvaluestore | |
| mocks | |
| orderer | |
| peer | |
| resource | Package resource provides access to fabric network resource management, typically using system channel queries. |
| genesisconfig | |
| signingmgr | |
| txn | Package txn enables creating, endorsing and sending transactions to Fabric peers and orderers. |


Description
The Cost of Capital, also known as WACC (Weighted Average Cost of Capital), is the return required by a well-diversified investor to hold the stream of future cash flows generated by an asset. According to Modigliani-Miller, buying all the security issued by a company,
you end up having a 100% claim on the firm’s assets and thus on the stream of cash flows deriving from them.
Plot info
Interactive bar chart: the plot displays a set of information for each combination (market, industry). Select the market first (US, EU, Japan, ...)
using the buttons below. Then, select the desired industry among those available in the legend on the right. One click to activate the trace, double
click to deactivate it. You can activate more than one industry to make comparisons. In the top-left corner you can access additional features.
Data explanation
Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean.


Vulnado
Doggos4All
Check out this adorable pupper, you should totally comment on it!
Comments
Submit


Iran exceeds heavy water limit in latest nuclear deal breach: IAEA
The International Atomic Energy Agency said in a statement that Iran's heavy water production plant was in operation and that its stock of heavy water was 131.5 tonnes
by AFP | PTIThe UN's nuclear watchdog said Monday that Iran's stock of heavy water for reactors was in excess of the limit set under its agreement with world powers.
The International Atomic Energy Agency said in a statement that Iran's heavy water production plant was in operation and that its stock of heavy water was 131.5 tonnes, above the 130-tonne limit.


Your email: {{ email }}
Spouse's email: {{ verifiedEmail }}
You have request from {{ requestedEmail }}
Pending acception from {{ pendingEmail }}
Spouse's email doesn't set


"PEDAGOGY FOR PEACE AND NONVIOLENCE:
A Critical Analysis of Peace and Non- Violence Studies Programs on College Campuses in the Northeastern U.S.A."
Bernard LaFayette, Jr.
A thesis presented to the faculty of the Graduate School of Education of Harvard University in partial fulfillment of the requirements for
the degree of Doctor of Education
1974
- ROHR Rw ee Rem AETREI er tp pe wi srimer, oye
PN Oy Steere oe


I have a large media collection, albums on a Logitech Media Server and lots of downloaded (and downloading) podcasts. It's nice easily to move these media files to my Android phone for easy playback. The audio quality of the phone isn't terrific, but that's not so important for non-musical material. And when I want to listen to high quality, I use my old Headamp pico DAC/Amp and some Etymotic earphones.
Some of my favorite listening are university lectures. Often
these lectures are posted on Youtube. I suppose that I could
audit the Youtube posts directly, but I prefer to download the
videos, convert them to audio and upload them to my phone as
albums. This is pretty easy with
youtube-dl.
I've had difficutly getting the playlist feature to work, but it
is almost as easy to to feed this script a list
of videoID
tags.


I am a graduate student at Lehigh University.
Bring to the table win-win survival strategies to ensure proactive domination. At the end of the day, going forward, a new normal that has evolved from generation X is on the runway heading towards a streamlined cloud solution. User generated content in real-time will have multiple touchpoints for offshoring.
Capitalize on low hanging fruit to identify a ballpark value added activity to beta test. Override the digital divide with additional clickthroughs from DevOps. Nanotechnology immersion along the information highway will close the loop on focusing solely on the bottom line.
Podcasting operational change management inside of workflows to establish a framework. Taking seamless key performance indicators offline to maximise the long tail. Keeping your eye on the ball while performing a deep dive on the start-up mentality to derive convergence on cross-platform integration.
Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.
GPA: 3.63
GPA: 3.7
Multidisciplinary Engineer with excellent problem-solving abilities and process-thinking skill seeks hands-on experience within a company that embraces creativity and innovation. Through my studies, I have gained extensive knowledge of Data Analytics, Big Data, Production Planning and Processing, Supply chain Management, Project Management, among many other components of Industrial & Systems Engineering.
Effective communicator who builds positive, cohesive relationship with all level of staff, eager to put my extensive studies to practical, applied use.


Name
What color is the combination of red and yellow?
Orange
Red
Green
Purple
What is the highest degree obtained by my dad?
High School Diploma
Associates
Bachelors
Masters
What console was released in 2001 by Nintendo?
PS1
Gamecube
PS2
Nintendo 64
Finish the quote: You need some Little Caesars pizza, I be
Hot and cheesy
The leader of Rome
Fatally stabbed
Hot and ready
What animated movie was directed by Hayao Miyazaki in 2013?
Spirited Away
The Wind Rises
Princess Mononoke
Ponyo
What camera setting controls depth of focus?
Shutter Speed
Exposure
Tripod
Aperture
Check


All the hard life problems
So many reasons
Discussions
For centuries
Bringing so many words
To the artists and the poets
But I take another stance
The stance of the quirky philosopher
And from the point of the Classics,
Or really just my neurological bias,
I choose to simplify
And as such
I don't believe life's problems to be mathematical
Economically, it's unrelated to resources
There is no need for an abundance of miracles
You just need One
Not one project
Not one profession
Not one clear goal
These are consequences of it
These are temporary things we do for what we believe
Things the road itself asks from us
And the One road
It's simply the One certainty
The One belief
Might it be described as simple as Goodness
O rs Love
Or so complicated it can't even be explained
But in all cases, you feel strongly into your heart
In the deepest realms of reality
It's the One Way Forward
And you just have to persevere
And be strong with our loved hearts
And just let it all flourish
Never rush
Never buy things ready in a store
Let it bring the flowers
It always will
A question of consistency
Stubborness, certainty
You may use your faith
And in such you find
There is no careful, analytical, study of matter
No matter from a 9th grade Physics book
Wickedly transported to the social sciences
No cold, atomized, apathetic matter
Nothing of that
And it's not sloppiness
It's not ignorance
When you're in this road
There is just no need for that
Even if grey clouds come around
You can be certain
Strong hearts and hands
Will surely together withstand
And in the next day
The Sun will shine
Because in here
There is what matters
There is direction
There is purpose
And this is the place
The place we make
The place we made
Reaching the stars
Brightening
From the heart
To the bones
It's the One Way Forward
Where everything matters.


Target's 2019 Black Friday ad is out
by John MatareseThe first of the "Big 3" Black Friday ads has just been released for 2019.
It is from Target, which starts its sale at 5 p.m. Thanksgiving Day, which means you had better put that turkey in the oven early if you plan to shop the doorbuster deals.
One of the best features of Target's Black Friday ad is a 20% off coupon if you spend $50 in store or online.
The store will also have great deals on gaming consoles, vacuum cleaners and, of course, televisions. Among the best TV deals: a 55-inch Samsung 4K TV for just $329. Just realize that is a doorbuster that could be gone within 30 minutes of stores opening.
And if you are thinking of upgrading to one of the new iPhone 11s, you may want to skip the Apple store on Black Friday because Target will give you a free $200 gift card with the activation of a new model iPhone.
The best deals:
Highlights of Target's 2019 ad , according to BF Ads.net:
- 20% off coupon - if you spend $50 in store or online
- Element 65" 4K Smart UHDTV - $279.99
- Beats Solo3 Wireless Headphones - $129.99
- Samsung 55" 4K UHD HDR Smart TV - $329.99
- Assorted Small Kitchen Appliances - $10.00 Each
- PlayStation 4 1TB + 3 Free Games - $199.99
- Polaroid 32" LED HDTV (32GSR3000FC) - $69.99
- iPhone 11, iPhone 11 Pro or iPhone 11 Pro Max - Free $200 Target Gift Card w/ Activation
- App Store & iTunes Gift Cards - Buy one, get one 30% off
Preview sale this weekend
But you may not have to wait until Black Friday to get deals on the items you want. Target is holding a Black Friday preview sale this weekend, November 8 and 9, with hundreds of doorbuster prices early.
So it may be worth checking your local Target this weekend.
You can see the full Target ad scan here.
The Walmart and Best Buy Black Friday ads are expected any day now, so you don't waste your money.
_______________
Don't Waste Your Money" is a registered trademark of Scripps Media, Inc. ("Scripps").
Like" John Matarese Money on Facebook
Follow John on Twitter (@JohnMatarese)
For more consumer news and money saving advice, go to www.dontwasteyourmoney.com


137,000
79.8M
289.32
1.4T
Current - Predicted Price
Why Apple could still see historic iPhone sales despite coronavirus disruption
However venture pursuit he am mr cordial. Forming musical am hearing studied be luckily. But in for determine what would see...
6 Hours AgoApple is celebrating International Women’s Day with a full month of events
More than 100 sessions in select stores will be led by notable women, including co-chair of the Women’s March Linda Sarsour, as well as musicians Meghan Trainor and Victoria Monét and designer Carla Fernández.
4 March 2020iPhone Maker Foxconn Expects 15% Q1 Revenue Hit From Coronavirus, Says Production Rebounding
Taiwanese consumer electronics manufacturer Hon Hai Precision Co. Ltd. (OTC: HNHPF) expects its production in China to return to a regular pace by the end of March, Chairman Young-Way Liu said in an investors call Tuesday, according to a Nikkei Asian Review report.
3 March 2020Apple could still see historic iPhone sales despite the coronavirus
The global coronavirus outbreak continues to send markets on a rollercoaster ride, and on Tuesday concerns over the virus pushed the Fed to cut rates ahead of its planned March meeting. But as supply chain disruptions and consumer spending have whipsawed stocks, Apple (AAPL), one of the world’s most valuable tech firms, could still see historic sales of its iPhone in the next fiscal year.
3 March 2020