fast_ml fast_ml-2014 fast_ml-2014-51 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: IPython is known for the notebooks. But the first thing they list on their homepage is a “powerful interactive shell”. And that’s true - if you use Python interactively, you’ll dig IPython. Here are a few features that make a difference for us: command line history and autocomplete These are basic shell features you come to expect and rely upon after a first contact with a Unix shell. The standard Python interpreter feels somewhat impoverished without them. %paste Normally when you paste indented code, it won’t work. You can fix it with this magic command. other %magic commands Actually, you can skip the % : paste , run some_script.py , pwd , cd some_dir shell commands with ! For example !ls -las . Alas, aliases from your system shell don’t work. looks good Red and green add a nice touch, especially in a window with dark background. If you have a light background, use %colors LightBG Share your favourite features
sentIndex sentText sentNum sentScore
1 But the first thing they list on their homepage is a “powerful interactive shell”. [sent-2, score-0.362]
2 And that’s true - if you use Python interactively, you’ll dig IPython. [sent-3, score-0.198]
3 Here are a few features that make a difference for us: command line history and autocomplete These are basic shell features you come to expect and rely upon after a first contact with a Unix shell. [sent-4, score-1.395]
4 The standard Python interpreter feels somewhat impoverished without them. [sent-5, score-0.292]
5 %paste Normally when you paste indented code, it won’t work. [sent-6, score-0.335]
6 other %magic commands Actually, you can skip the % : paste , run some_script. [sent-8, score-0.63]
7 py , pwd , cd some_dir shell commands with ! [sent-9, score-0.809]
8 looks good Red and green add a nice touch, especially in a window with dark background. [sent-13, score-0.602]
9 If you have a light background, use %colors LightBG Share your favourite features in the comments. [sent-14, score-0.182]
10 For more, see Using IPython for interactive work . [sent-15, score-0.253]
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Introduction: IPython is known for the notebooks. But the first thing they list on their homepage is a “powerful interactive shell”. And that’s true - if you use Python interactively, you’ll dig IPython. Here are a few features that make a difference for us: command line history and autocomplete These are basic shell features you come to expect and rely upon after a first contact with a Unix shell. The standard Python interpreter feels somewhat impoverished without them. %paste Normally when you paste indented code, it won’t work. You can fix it with this magic command. other %magic commands Actually, you can skip the % : paste , run some_script.py , pwd , cd some_dir shell commands with ! For example !ls -las . Alas, aliases from your system shell don’t work. looks good Red and green add a nice touch, especially in a window with dark background. If you have a light background, use %colors LightBG Share your favourite features
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Introduction: The job salary prediction contest at Kaggle offers a highly-dimensional dataset: when you convert categorical values to binary features and text columns to a bag of words, you get roughly 240k features, a number very similiar to the number of examples. We present a way to select a few thousand relevant features using L1 (Lasso) regularization. A linear model seems to work just as well with those selected features as with the full set. This means we get roughly 40 times less features for a much more manageable, smaller data set. What you wanted to know about Lasso and Ridge L1 and L2 are both ways of regularization sometimes called weight decay . Basically, we include parameter weights in a cost function. In effect, the model will try to minimize those weights by going “down the slope”. Example weights: in a linear model or in a neural network. L1 is known as Lasso and L2 is known as Ridge. These names may be confusing, because a chart of Lasso looks like a ridge and a
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StateUpdater
public protocol StateUpdater : AnyStateUpdater
A StateUpdater
is a Dispatchable
that can be used to update the Store
state configuration.
The StateUpdater
is strongly tied to the state that it handles. This greatly simplifies
the code written in normal situations. However, if you need to create updaters that are not strictly
tied to a concrete state type (e.g., in a library) you can use AnyStateUpdater
.
App Tips & Tricks
To additionally simplify the usage of a StateUpdater
you can add to your application an helper protocol
/// assuming `AppState` is the type of your application's state
protocol AppStateUpdater: StateUpdater where StateType == AppState {}
By conforming to AppStateUpdater
, you will get better autocompletion
-
The concrete state type that the updater manages
Declaration
Swift
associatedtype StateType : State
-
Updates the current state. It is important to note that
updateState(currentState:)
should be a pure function, that is a function that given the same input always returns the same output and it also doesn’t have any side effect. This is really important because it is an assumption that Katana (and related tools) makes in order to implement some functionalities.Declaration
Swift
func updateState(_ state: inout StateType)
Parameters
state
the current configuration of the state. The method is meant to update the value of the state in place
-
updatedState(currentState:
Extension method) Conformance of
StateUpdater
toAnyStateUpdater


My name is Claudiah Wanjiru.I am a graduate of Business Information technology from Jomo Kenyatta University of Agriculture and technology .I graduated in 2018 and have since been doing Sales and Marketing as well as activism for burn survivors.
I decided to study programming because of my passion in web design. As a model I often require to have an up-to-date portfolio of myself.I am very keen to improve my coding skills and hopefully transfer that knowledge to someone in the future.
I have quite the number of skills and hobbies.Here is a list of some of them:
I bake goodies and pastries like;


An NSArrayController subclass for use with BaseTen.
A BXSynchronizedArrayController updates its contents automatically based on notifications received from a database context. In order to function, its databaseContext outlet needs to be connected. It may also fetch objects when the context connects. However, this option should not be enabled if the controller's contents are bound to a relationship in a database object.
Instance Methods | |
| (id) | - createObject: |
| (BXDatabaseContext *) | - databaseContext |
| (BXEntityDescription *) | - entityDescription |
| (BOOL) | - fetchesAutomatically |
| (BOOL) | - locksRowsOnBeginEditing |
| (NSArray *) | - selectedObjectIDs |
| (void) | - setDatabaseContext: |
| (void) | - setEntityDescription: |
| (void) | - setFetchesAutomatically: |
| (void) | - setLocksRowsOnBeginEditing: |
Methods used by the IB plugin | |
The controller will try to get an entity description when its database context based on these properties. This will occur when the context gets set and when the context connects. If a class name has also been set, the controller will call NSClassFromString and set the entity's corresponding property. | |
| (NSString *) | - schemaName |
| (void) | - setSchemaName: |
| (NSString *) | - tableName |
| (void) | - setTableName: |
| (NSString *) | - databaseObjectClassName |
| (void) | - setDatabaseObjectClassName: |
Overridden methods | |
Methods changed from NSArrayController's implementation. | |
| (NSArray *) | - exposedBindings [implementation] |
| (void) | - bind:toObject:withKeyPath:options: [implementation] |
| (void) | - unbind: [implementation] |
| (void) | - objectDidBeginEditing: [implementation] |
| (void) | - objectDidEndEditing: [implementation] |
| (void) | - fetch: [implementation] |
| (BOOL) | - fetchWithRequest:merge:error: [implementation] |
| (id) | - newObject [implementation] |
| (void) | - insertObject:atArrangedObjectIndex: [implementation] |
| (void) | - removeObjectsAtArrangedObjectIndexes: [implementation] |
| (NSString *) | - entityName [implementation] |
| (void) | - setEntityName: [implementation] |
| (NSManagedObjectContext *) | - managedObjectContext [implementation] |
| (void) | - setManagedObjectContext: [implementation] |
| (BOOL) | - usesLazyFetching [implementation] |
| (void) | - setUsesLazyFetching: [implementation] |
| (Class) | - objectClass [implementation] |
| (void) | - setObjectClass: [implementation] |
Protected Attributes | |
| IBOutlet BXDatabaseContext * | databaseContext |
| IBOutlet NSWindow * | modalWindow |
| - (id) createObject: | (NSError **) | outError |
Create a new object.
Calls -[BXDatabaseContext createObjectForEntity:withFieldValues:error:]. If the receiver's contentSet is bound to another BXSynchronizedArrayController using a key that refers to a to-many relationship, the created object's foreign key values will be set accordingly.
| outError | Error returned by the database. If NULL is passed and an error occurs, BXDatabaseContext will raise an exception by default. |
|
implementation |
Exposed bindings.
managedObjectContext is removed from bindings exposed by the superclass.
|
implementation |
Perform a fetch.
Calls -fetchWithRequest:merge:error:. If an error occurs, an alert sheet or panel is displayed.
| sender | Ignored. |
|
implementation |
Perform a fetch.
Fetch objects from the database.
| fetchReques | Currently ignored. Pass nil. |
| merge | Whether the content should be replaced. If the receiver already has a collection, it won't be re-fetched, because the collection's contents will be automatically updated. |
| error | Error returned by the database. If NULL is passed and an error occurs, BXDatabaseContext will raise an exception by default. |
|
implementation |
Create a new object.
Calls createObject:, which in turn calls -[BXDatabaseContext createObjectForEntity:withFieldValues:error:]. If an error occurs, an alert sheet or panel will be displayed. If the receiver's contentSet is bound to another BXSynchronizedArrayController using a key that refers to a to-many relationship, the created object's foreign key values will be set accordingly.
|
implementation |
Delete objects at specified indices.
Deletes specified rows from the database. The objects will be marked deleted. If an error occurs, an alert sheet or panel will be displayed.
| - (void) setDatabaseContext: | (BXDatabaseContext *) | ctx |
Set the database context.
| - (void) setFetchesAutomatically: | (BOOL) | aBool |
Set whether this controller fetches automatically.
This causes the content to be fetched automatically when the array controller receives a connection notification or the array controller's database context is set and is already connected.
| - (void) setLocksRowsOnBeginEditing: | (BOOL) | aBool |
Set whether the receiver begins a transaction for each editing session.
Sets whether the receiver asks its database context to begin a transaction to lock the corresponding row when each editing session begins. Regardless of the context setting for sending lock notifications, other BaseTen clients will always be notified. When editing ends, the transaction will end as well. This is determined from calls to -objectDidBeginEditing: and -objectDidEndEditing: declared in NSEditor protocol. The default is YES.


Madhouse Express
Czech psychedelic preachers, Madhouse Express, landed on the psych stage on May 2015.
Their style is mix of fuzzy, hazy 60s hypnosis, traditional rock´n ´roll in it’s rawest form and new experimental elements which together make up their unique and fresh sound on the Czech scene.
Live you can enjoy impressive stage show including catchy bass lines, forceful drum beats, intense guitar riffs, psychedelic visuals and the dramatic excentric merciless appearance of the singer doing his magic on a synthesizer.
Contact
Email: email
Facebook: Madhouse Express


App (or any product in general), before getting released to users, needs to be tested carefully.
When talking about testings, you might think of someone who sits for hours playing around with the app, trying to hit all the buttons, swiping in all directions or even shaking the phone like crazy in hope of finding something unusual to report back to the developers.
For big app, it would take days for the tester team to go through all the functionalities. Even after that, some developers might come in and make changes to the code and that would restart the whole testing process all over again.
That’s the reason why more and more companies are starting to write automation tests for their projects. The benefits are huge. To name a few, tests will:
Provide instant feedback on where the code fails:
- It only take a few seconds to several minutes (one hour at max) to run all of your automation tests.
- When tests fail, we will quickly know what’s wrong just by looking at the tests log instead of having a raging customers/boss to yell at our face.
- Although we still need to do manually testing sometimes, automation tests still save you a lot of development time by providing extremely fast feedback loop.
Give you confidence when making changes to the code:
- Tests are especially useful when you’re working on a large codebase along with several other developers. You don’t need to worry about breaking someone else’s code (or your own). It’s easy to make changes as long as the tests still pass.
Give you confidence when showing the project to your boss, or your clients:
- Project with high test coverage (>90%) tends to have better quality. It will make your boss/clients happy and certainly earn you more money.
Help to document your code:
- Have a look at this piece of test:
- Can you guess what story it tells? I bet you will. Tests when written cleanly would read just like English, you won’t need any additional documents other than the test suite itself.
Alright! If that get you excited about writing your first automation tests on iOS, here’s a few simple steps that would get you up and running pretty quick:
Step 1: Create new iOS project
Create new project:
- Open Xcode.
- Choose
Create a new Xcode project
. - Choose template
iOS
>Application
>Single View Application
>Next
. - Fill in your project information. Make sure the
Include Unit Tests
option is ticked. - Choose a path for the project.
- Xcode will open the project automatically for you.
Try to Run the project (⌘ + R
). It should compile and run smoothly in the simulator.
For the rest of this tutorial, let’s just assume that your project name is MyAwesomeProject
and it is located at ~/Documents/MyAwesomeProject
.
Step 2: Setup cocoapods
In case you haven’t installed cocoapods, you should do it now.
Open Terminal
or iTerm
and type in this command.

Initialize cocoapods
.
If everything goes well, you should see content like this:
Step 3: Setup unit tests
Declare necessary pods for unit tests in your Podfile
:
For Swift
: we’ll use:
- Quick: a behavior-driven development framework for Swift.
- Nimble: to express the expected outcomes of Swift expressions.
For ObjC
: since we don’t want to use dynamic framework, we’ll remove the use_frameworks!
line. And the pods we need are:
- Specta: A light-weight TDD / BDD framework for Objective-C & Cocoa.
- Expecta: A Matcher Framework for Objective-C/Cocoa.
Install all the pods we just declared (type this into your terminal).
Open the generated .xcworkspace
file.
Now we’re going to write our first unit test.
For Swift
:
- Create a new file in the test target and name it to something like
MyFirstSpec.swift
. - Put this content into it.
For ObjC
:
- Create a new file in the test target and name it to something like
MyFirstSpec.m
. - Put this content into it.
Run your tests by pressing ⌘ + U
.
It should fail at the appropriate line.
At this point, although it’s quite easy to extend and write more unit tests. I would recommend to check out the pods’s README
to get more understanding and learn how to use them effectively.
Step 4: Setup UI tests
For UI tests, we’ll use the same pod for both ObjC
and Swift
. It is called KIF: An iOS Functional Testing Framework.
Add pod KIF
to your Podfile
.
Install pod by typing this command into the terminal.
Now we’re going to write our first UI test.
For Swift
:
- Create a new temporary
Objective-C File
to tell Xcode that we want to useObjC
along withSwift
. We can name this file to anything and save it to anywhere as long as it is still in the test target folder. (for example:something.m
)
- Xcode will then ask if we want to also add a bridging header. Proceed with
Create Bridging Header
.
- Now that we have the bridging header added and correctly configured, we can safely remove the temporary
something.m
file. (Right click to file inXcode
>Delete
>Move to Trash
) - Import
KIF
from within the bridging header (MyAwesomeProjectTests-Bridging-Header.h
).
- Create a
KIF+Extensions.swift
file in your test target. This step is to expose thetester
method required for accessing theKIF
API in Swift.
- Create our first UI test file (again, in the test target) and name it to something like
HomeTests.swift
.
For ObjC
:
- Create 2 new files in the test target and name them to something like
HomeTests.h
andHomeTests.m
respectively.
Press ⌘ + U
to run all tests (including unit tests and UI tests). It should fail because we haven’t implemented anything yet. (there’s nothing on the screen)
Wrap up
In this post, you learnt how to setup a testing environment for iOS, including all the necessary pods for both ObjC
and Swift
. You’re also provided some basic test samples to use as a starting point. Once again, I highly recommend you to read more about those testing frameworks (Quick, Specta, KIF). It would help a lot on your testing journey.


form UI - Build a Gadget [DRAFT]
form UI platform
uses the
jQuery UI Widget Factory
to create gadgets and widgets.
The widget factory defines how to create and destroy widgets, get and set options, invoke methods, and listen
to events triggered by the widget. By using the widget factory to build your
stateful plugins
, you are
automatically conforming to a defined standard
, making it easier for new users to start using your plugins.
In addition to defining the interface, the widget factory also implements much of this functionality for you.
If you're not familiar with the API provided by the widget factory, you should read
How jQuery UI Works.
Ensure your local development server for form UI is up and runnnig first. Run the following command
$ grunt --proxy heroku
Now ensure we see login page for form UI locally.
Let's create a gadget that can load a data into predfined HTML template by making a service call.
Let's open /settings/gadgets.js file and add the following object that defines the behaviour of exampleGadget.
The gadget will be load by the platform only if it is defined here first. Notice the
viewers
key - this key defines where the gadget is allowed to load. In our case we have defined it to
be opened only in main CONSOLE page.
...
exampleGadget: {
title: 'Example',
viewers: [globals.CONSOLE]
},
...
Create a new directory
/web/gadgets/exampleGadget
. Create a new file named exampleGadget.js in that directory and define an AMD
module that will return a widget constructor. Notice the naming convention. The folder and file names follow
the name of the gadgets, allowing platform to automatically pick them up by their pet name.
...
define([
'framework/framework',
'css!gadgets/exampleGadget/exampleGadget'
], function (
framework
) {
return $.widget('form.exampleGadget', framework.baseGadget, {
//this is where we will store some data
data: null,
_create: function () {
this._super();
}
});
});
...
Note that
_create
is built in to the widget lifecycle, so we need to call
this._super()
to make sure the inherited method runs in addition to our methods, otherwise it would override
it.
The
_create
method gets invoked immediately any time a widget is instantiated. Here, we'll call the methods
we just stubbed out to get this gadget ready to use.
...
_create: function () {
//this will call baseGadget's super method in turn call widget factory's super method
this._super();
//in this custom method we will load HTML handlebars template
this._renderLayout();
//in this method we will bind events to DOM elements in this gadget
this._bindListeners();
},
//stub for method
_renderLayout: function () {},
//stub for method
_bindListeners: function () {}
...
Let's create a Handlebars template for your Gadget. In your exampleGadget directory. Create a file called
exampleGadget.hbs
and paste the following code:
...

Demostrates simple workflow with live updates

...
This template defines a control bar and a content region.
Handlebars compiles all .hbs files in the web/ directory into functions that accept a data parameter and return a
string of HTML. These functions are stored on the global
HBS
object under property names matching the template file path relative to web/. The templates are recompiled
by a grunt watch task that runs as long as the grunt server task is running. To compile manually, open a new
terminal and run:
$ grunt handlebars
Additionally let's create a SCSS file to manage styles for this gadget. Create a file called
exampleGadget.scss
and paste the following code:
...
.gadget {
&.exampleGadget {
.container {
overflow: hidden;
}
.controls {
padding: 0;
.message {
color: var(--theme-color);
line-height: 22px;
}
.controls-bar {
justify-content: space-between;
flex-wrap: wrap;
&:first-of-type {
display: flex;
border-bottom: 1px solid #ccc;
padding: 5px;
}
}
}
.content {
flex: 1;
border-top: 1px solid #aaa;
padding: 10px 0 10px 10px;
overflow: auto;
.address {
div {
padding: 5px;
background-color: #ccc;
display: inline-block;
}
}
}
}
}
...
SCSS file will get a corresponding CSS file.
Now we can implement
_renderLayout
using the template. Every widget gets a reference to its jQuery-wrapped element as
this.element
, so updating the element with the template is simple.
...
_renderLayout: function () {
var strTemplate = HBS['gadgets/exampleGadget/exampleGadget']();
this.element.html(strTemplate);
},
...
We should have a gadget that can be viewed locally.
Let's create a file named exampleGadget_data.json and add the following JSON content. We will load this in lieu of a real REST service call using serviceManager API in the next steps.
...
{
"data": {
"fname": "John",
"lname": "Doe",
"city": "New York"
}
}
...
We will add a call to
_loadData
method in
_create
method. Let's add the stub method which we will define in next step.
...
_create: function () {
...
this._loadData();
},
...
Let's open /settings/services.js file and add the following object that defines the structure of REST Service call.
...
exampleGadget: {
get: 'gadgets/exampleGadget/exampleGadget_data.json'
},
...
Let's create
_loadData
method, and add serviceManager API to make an Ajax call to get data. Notice the success and
error responses.
...
_loadData: function () {
var context = this;
function success(response) {
response = (typeof response === 'string') ? JSON.parse(response) : response;
context.data = (response && response.data) ? response.data : [];
}
function error(response) {
//handle errors here
}
framework.serviceManager.exec({
service: 'exampleGadget.get',
success: success,
error: error
});
}
...
Let's create
_renderData
method which will use the data recieved and render within HTLM markup. Update the _loadData
method and call this new method. We will define in the next step.
...
_loadData: function () {
var context = this;
function success(response) {
response = (typeof response === 'string') ? JSON.parse(response) : response;
context.data = (response && response.data) ? response.data : [];
context._renderData();
}
//let's load values from data into DOM elements
_renderData: function () {
var $address = this.element.find('.content .address');
$address.find('.fname').html(this.data.fname);
$address.find('.lname').html(this.data.lname);
$address.find('.city').html(this.data.city);
}
}
...
We should have a gadget that now fetches data as a REST Service and renders within the gadget. let's view locally.
Now that we know the gadget loads well within developer harness, it's time to experience the gadget with form UI.
Stop and restart local DEV server
$ grunt --proxy heroku
Let's launch the form UI and load the gadget by accessing this new gadget from gadgets menu.


I remember the sleek, shiny, compact feel of my new Mac Powerbook G3 as I trekked off to college in 1999. I've been a believer every since, sure that the extra money and apple logo were worth it. But have times changed? I did some research to find out.


Port St Mary, on the southern tip of the Isle of Man, is a drying harbour.
There are 4 visitors moorings in the deep water in the outer harbour and it is possible to raft alongside Alfred Pier. The inner harbour dries to hard, level sand. Call the Harbourmaster for advice on where to berth. There is a landing near below the IOM Yacht Club.
Shelter is good except in SE or E winds. The holding south of Gansey Point is poor. There is a facilities block with toilets and showers close to Alfred pier.


El Jannah Newtown
11:00am - 11:00pm | Monday - Sunday
Features
El Jannah is the seventh El Jannah outlet to open in Sydney. The first opened in Granville in 1998 and the business slowly grew across western Sydney. This one, called El Jannah Express is the first time the chain has opened a takeaway-style shop. Seating is limited, table service is non-existent, and there are no skewers or shawarma (slowly-turning rotisserie meat) on the menu.
But the menu has gained as much as it’s lost. One addition is the Souther-stlye fried chicken. Drumsticks and tenders are available in three-, five- and 10-iece meals, and are just as juicy as their butterflied and charcoaled counterparts. Honey-mustard and sweet-and-spicy sauces are available on the side – a significant departure from hummus and baba ganoush, which are typicall the only sauces available at other El Jannahs.
The charcoal chicken nevertheless remains the hero. Served with garlic sauce, it can be had in quarter, half and whole portions. The latter includes a choice of pickles, tabouli or coleslaw as a side. Burgers, rolls and salads combining the same flavours are also available.
Phone: No phone
Independent Editorial Policy
We do not seek or accept payment from the cafes, restaurants, bars and shops listed in the Directory – inclusion is at our discretion. Venue profiles are written by independent freelancers paid by Broadsheet.


---
layout: post
title: All my documents in the cloud.
date: '2012-07-30T10:54:00.003+02:00'
author: Dave Van den Eynde
tags:
modified_time: '2012-07-30T10:54:59.897+02:00'
blogger_id: tag:blogger.com,1999:blog-10546079.post-8036671876365503992
blogger_orig_url: http://www.groovbird.com/2012/07/all-my-documents-in-cloud.html
---
Paperwork is such a hassle. I can organize my home network, file shares, digital media and business, but my office has always looked as if a bomb exploded and I've got plenty of stories of documents that were in there somewhere, but when needed they were nowhere to be found. The last couple of years taught me that if I ever received an invoice electronically, if the accountant sent me an e-mail that some payment (usually for an online purchase) was not covered by said invoice, I would find it in a jiffy and send it to him electronically.
So I've been thinking for awhile, why don't we simply put all of our paperwork in the cloud. The accountant, the bank manager, the architect, the construction company, all the documents that we've exchanged in the last year we've been able to do them by e-mail because at work we have this very large but very fast scanner that puts everything you throw at it on the network. Why not do something like this at home?
With our recent move into the new house, I replaced my aging Dell colour laserprinter and Canon photo printer with a Canon MX-895 multifunctional. Not only does it save space (that laserprinter was rather bulky) but it also comes with an document feeder and does two-side scanning of a bunch of papers that you put on it. From there it scans over the network to my home computer, where it's a simple matter of dragging & dropping those documents into a Chrome browser window in the proper Google Drive folder (I'm a Google Apps for Business customer).
Google does the OCR and makes your scans searchable and everything!
So I started to scan in all the incoming paperwork so far. Not much to begin with, I don't even know if I'll be scanning in older stuff, that would take ages, but two days into this and I already found I needed some obscure detail from the move to communicate with someone and found it waiting for me in my Google Drive, while in the office!
(...and people ask me why I'm all for the Cloud!)


| Jump to DART Documentation Main Index |
A collection of standalone programs for simulating various properties of ensembles.
The program of most interest here is gen_sampling_err_table.f90 which generates the lookup table needed when using sampling error correction in filter. Talk to Jeff Anderson about the other programs in this directory.
To enable the sampling error correction algorithm in
filter, set the namelist item
&assim_tools_nml : sampling_error_correction
to .true., and copy the netCDF file
system_simulation/sampling_error_correction_table.nc
into the run directory.
The supported set of precomputed
ensemble sizes can be found by exploring the ens_sizes
variable in sampling_error_correction_table.nc.
To add support for another ensemble size, build the executables in the
work directory,
(usually by running quickbuild.csh)
set the ens_sizes (it takes a list, but keep it short)
namelist item in work/input.nml,
and run gen_sampling_err_table.
It generates a LARGE number of samples
per ensemble size for statistical rigor.
Larger ensemble sizes take longer to generate, and compiler optimizations
matter - perhaps significantly. For example, the numbers below come
from calculating one ensemble size at a time on my desktop machine
with gfortran and basic optimization:
| ensemble size | run-time (seconds) |
|---|---|
| 10 | 57 |
| 50 | 273 |
| 100 | 548 |
The basic structure of sampling_error_correction_table.nc is shown below.
0[1095] desktop:system_simulation/work % ncdump -v ens_sizes *nc netcdf sampling_error_correction_table { dimensions: bins = 200 ; ens_sizes = UNLIMITED ; // (40 currently) variables: int count(ens_sizes, bins) ; count:description = "number of samples in each bin" ; double true_corr_mean(ens_sizes, bins) ; double alpha(ens_sizes, bins) ; alpha:description = "sampling error correction factors" ; int ens_sizes(ens_sizes) ; ens_sizes:description = "ensemble size used for calculation" ; // global attributes: :num_samples = 100000000 ; :title = "Sampling Error Corrections for fixed ensemble sizes." ; :reference = "Anderson, J., 2012: Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation. Mon. Wea. Rev., 140, 2359-2371, doi: 10.1175/MWR-D-11-00013.1." ; :version = "$Id$" ; data: These ensemble sizes are already supported! ens_sizes = 5, 6, 7, 8, 9, 10, 12, 14, 15, 16, 18, 20, 22, 24, 28, 30, 32, 36, 40, 44, 48, 49, 50, 52, 56, 60, 64, 70, 72, 80, 84, 88, 90, 96, 100, 120, 140, 160, 180, 200 }
This namelist is read from the file input.nml. Namelists start with an ampersand '&' and terminate with a slash '/'. Character strings that contain a '/' must be enclosed in quotes to prevent them from prematurely terminating the namelist.
&gen_sampling_error_table_nml ens_sizes = 5, 6, 7, 8, 9, 10, 12, 14, 15, 16, 18, 20, 22, 24, 28, 30, 32, 36, 40, 44, 48, 49, 50, 52, 56, 60, 64, 70, 72, 80, 84, 88, 90, 96, 100, 120, 140, 160, 180, 200 debug = .false. /
| Item | Type | Description |
|---|---|---|
| ens_sizes | integer(200) | An array of ensemble sizes to compute. Any new size gets appended to the variables in the netCDF file. Any order is fine, the array does not have to be monotonic. The numbers listed in the example exist in the file distributed with DART. Do not get carried away by generating a lot of new ensemble sizes in one execution. The table of run-time above should give you some indication of how long it takes to create a new entry. |
| debug | logical | A switch to add some run-time output. Generally not needed. |
types_mod utilities_mod random_seq_mod
| Routine | Message | Comment |
|---|---|---|
| gen_sampling_err_table | duplicate ensemble size found | no need to recompute an alpha for an ensemble size already supported. |
| gen_sampling_err_table | existing file used a different bin size | The code has been modified to use a different number of bins than the existing netCDF file. If that's what you intend, you need to make a new file. |
| gen_sampling_err_table | existing file uses N samples, the program has Y samples. | The code has been modified to use a different number of replicates used to estimate the alphas. If that's what you intend, you need to make a new file. |
| full_error | cannot handle task counts > 99999 | Ensemble size must be less than 100,000. |
| full_error | empty bin | The sample size must be large enough for all bins to have counts |
none
none at this time.
DART software - Copyright UCAR. This open source software is provided by UCAR, "as is", without charge, subject to all terms of use at http://www.image.ucar.edu/DAReS/DART/DART_download


A Server component represents the entire Catalina servlet container, including one or more nested Services.
All implementations of the Server component support the following attributes:
| Attribute | Description |
|---|---|
className |
Java class name of the implementation to use. This class must
implement the org.apache.catalina.Server interface. If
no class name is specified, the standard implementation will be
used (org.apache.catalina.core.StandardServer ).
|
port |
The TCP/IP port number on which this server waits for a shutdown command. The connection must be initiated from the same computer that is running Tomcat. This attribute is required. |
shutdown |
The command string that must be received via a TCP/IP connection to the specified port number in order to shut down Tomcat. This attribute is required. |
The standard implementation of the Server component also supports the following attributes:
| Attribute | Description |
|---|
No utility components may be nested inside a Server. The only valid nested element is a Service, of which there may be one or more.
There are no special features associated with a Server.


Hey everyone! My name is Pranav Byakod. I'm currently a junior at Santa Clara University, pursuing a degree in Computer Science and Mathematics.
Currently, I'm adept at programming in C++, Python, and Javascript.
This past summer, I've been learning and practicing web-based coding programs such as git, command line, html, and css. Apart from developing code, I enjoy playing football, swimming, music, travelling, and cooking.
If you'd like to contact me through either social media, email, phone, github, or even linkedin, simply navigate to the footer bar.


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An hour
19:00 — 20:00
Dialogue
a movement usually of the body or limbs that expresses or emphasizes an idea, sentiment, or attitude raised his hand overhead in a gesture of triumph.
19:10
19:30
19:35
19:35
19:35


{% assign projects_by_status = projects | sort: "priority" | reverse %} {% for project in projects_by_status %}


All Classes
Cookie
HttpConnect
HttpConnectionException
HttpDelete
HttpGet
HttpHead
HttpHeader
HttpOptions
HttpPatch
HttpPost
HttpPut
HttpRequest
HttpResponse
HttpTrace
PicnicClient


--- layout: post authors: ["Greg Wilson"] title: "Summarizing the News" date: 2014-12-03 time: "09:40:00" tags: ["Software Carpentry Foundation", "Community"] ---
We made several big announcements this morning, so here's a short summary to guide you through them all:
New rules for organizing and running workshops (including fees).
Plans for instructor training (which also explains why we're delaying the start of the next online course by a month).
Why we need more admin support and the tool we have started building to support that.
Plans for mentorship and assessment, which are two of the things that elected members of our Steering Committee will be asked to take on...
An update on our new lesson format (and links to some examples).
We'll talk about all of this at the Dec 4 lab meeting (which takes place at 10:00 and again at 19:00, both times Eastern — see this Etherpad for connection details). Hope to see you there...


Convolution Kernels¶
Introduction and Concept¶
The convolution module provides several built-in kernels to cover the most common applications in astronomy. It is also possible to define custom kernels from arrays or combine existing kernels to match specific applications.
Every filter kernel is characterized by its response function. For time series
we speak of an “impulse response function” or for images we call it “point
spread function”. This response function is given for every kernel by a
FittableModel
, which is evaluated on a grid with
discretize_model()
to obtain a kernel
array, which can be used for discrete convolution with the binned data.
Examples¶
1D Kernels¶
One application of filtering is to smooth noisy data. In this case we consider a noisy Lorentz curve:
>>> import numpy as np
>>> from astropy.modeling.models import Lorentz1D
>>> from astropy.convolution import convolve, Gaussian1DKernel, Box1DKernel
>>> lorentz = Lorentz1D(1, 0, 1)
>>> x = np.linspace(-5, 5, 100)
>>> data_1D = lorentz(x) + 0.1 * (np.random.rand(100) - 0.5)
Smoothing the noisy data with a Gaussian1DKernel
with a standard deviation of 2 pixels:
>>> gauss_kernel = Gaussian1DKernel(2)
>>> smoothed_data_gauss = convolve(data_1D, gauss_kernel)
Smoothing the same data with a Box1DKernel
of
width 5 pixels:
>>> box_kernel = Box1DKernel(5)
>>> smoothed_data_box = convolve(data_1D, box_kernel)
The following plot illustrates the results:
(Source code, png, hires.png, pdf)
Beside the astropy convolution functions
convolve
and
convolve_fft
, it is also possible to use
the kernels with Numpy or Scipy convolution by passing the array
attribute.
This will be faster in most cases than the astropy convolution, but will not
work properly if NaN
values are present in the data.
>>> smoothed = np.convolve(data_1D, box_kernel.array)
2D Kernels¶
As all 2D kernels are symmetric it is sufficient to specify the width in one direction. Therefore the use of 2D kernels is basically the same as for 1D kernels. We consider a small Gaussian shaped source of amplitude one in the middle of the image and add 10% noise:
>>> import numpy as np
>>> from astropy.convolution import convolve, Gaussian2DKernel, Tophat2DKernel
>>> from astropy.modeling.models import Gaussian2D
>>> gauss = Gaussian2D(1, 0, 0, 3, 3)
>>> # Fake image data including noise
>>> x = np.arange(-100, 101)
>>> y = np.arange(-100, 101)
>>> x, y = np.meshgrid(x, y)
>>> data_2D = gauss(x, y) + 0.1 * (np.random.rand(201, 201) - 0.5)
Smoothing the noisy data with a
Gaussian2DKernel
with a standard
deviation of 2 pixels:
>>> gauss_kernel = Gaussian2DKernel(2)
>>> smoothed_data_gauss = convolve(data_2D, gauss_kernel)
Smoothing the noisy data with a
Tophat2DKernel
of width 5 pixels:
>>> tophat_kernel = Tophat2DKernel(5)
>>> smoothed_data_tophat = convolve(data_2D, tophat_kernel)
This is what the original image looks like:
(Source code, png, hires.png, pdf)
The following plot illustrates the differences between several 2D kernels applied to the simulated data. Note that it has a slightly different color scale compared to the original image.
(Source code, png, hires.png, pdf)
The Gaussian kernel has better smoothing properties compared to the Box and the Tophat. The Box filter is not isotropic and can produce artifact (the source appears rectangular). The Mexican-Hat filter removes noise and slowly varying structures (i.e. background) , but produces a negative ring around the source. The best choice for the filter strongly depends on the application.
Available Kernels¶
Kernel Arithmetics¶
Addition and Subtraction¶
As convolution is a linear operation, kernels can be added or subtracted from each other. They can also be multiplied with some number. One basic example would be the definition of a Difference of Gaussian filter:
>>> from astropy.convolution import Gaussian1DKernel
>>> gauss_1 = Gaussian1DKernel(10)
>>> gauss_2 = Gaussian1DKernel(16)
>>> DoG = gauss_2 - gauss_1
Another application is to convolve faked data with an instrument response function model. E.g. if the response function can be be described by the weighted sum of two Gaussians:
>>> gauss_1 = Gaussian1DKernel(10)
>>> gauss_2 = Gaussian1DKernel(16)
>>> SoG = 4 * gauss_1 + gauss_2
Most times it will be necessary to normalize the resulting kernel by calling explicitly:
>>> SoG.normalize()
Convolution¶
Furthermore two kernels can be convolved with each other, which is useful when data is filtered with two different kinds of kernels or to create a new, special kernel:
>>> from astropy.convolution import Gaussian1DKernel, convolve
>>> gauss_1 = Gaussian1DKernel(10)
>>> gauss_2 = Gaussian1DKernel(16)
>>> broad_gaussian = convolve(gauss_2, gauss_1)
Or in case of multistage smoothing:
>>> import numpy as np
>>> from astropy.modeling.models import Lorentz1D
>>> from astropy.convolution import convolve, Gaussian1DKernel, Box1DKernel
>>> lorentz = Lorentz1D(1, 0, 1)
>>> x = np.linspace(-5, 5, 100)
>>> data_1D = lorentz(x) + 0.1 * (np.random.rand(100) - 0.5)
>>> gauss = Gaussian1DKernel(3)
>>> box = Box1DKernel(5)
>>> smoothed_gauss = convolve(data_1D, gauss)
>>> smoothed_gauss_box = convolve(smoothed_gauss, box)
You would rather do the following:
>>> gauss = Gaussian1DKernel(3)
>>> box = Box1DKernel(5)
>>> smoothed_gauss_box = convolve(data_1D, convolve(box, gauss))
Which, in most cases, will also be faster than the first method, because only one convolution with the, most times, larger data array will be necessary.
Discretization¶
To obtain the kernel array for discrete convolution, the kernels response
function is evaluated on a grid with
discretize_model()
. For the
discretization step the following modes are available:
Mode
'center'
(default) evaluates the response function on the grid by taking the value at the center of the bin.>>> from astropy.convolution import Gaussian1DKernel >>> gauss_center = Gaussian1DKernel(3, mode='center')
Mode
'linear_interp'
takes the values at the corners of the bin and linearly interpolates the value at the center:>>> gauss_interp = Gaussian1DKernel(3, mode='linear_interp')
Mode
'oversample'
evaluates the response function by taking the mean on an oversampled grid. The oversample factor can be specified with thefactor
argument. If the oversample factor is too large, the evaluation becomes slow.
>>> gauss_oversample = Gaussian1DKernel(3, mode='oversample', factor=10)
- Mode
'integrate'
integrates the function over the pixel usingscipy.integrate.quad
andscipy.integrate.dblquad
. This mode is very slow and only recommended when highest accuracy is required.
>>> gauss_integrate = Gaussian1DKernel(3, mode='integrate')
Especially in the range where the kernel width is in order of only a few pixels
it can be advantageous to use the mode oversample
or integrate
to
conserve the integral on a subpixel scale.
Normalization¶
The kernel models are normalized per default, i.e.
\(\int_{-\infty}^{\infty} f(x) dx = 1\). But because of the limited kernel
array size the normalization for kernels with an infinite response can differ
from one. The value of this deviation is stored in the kernel’s truncation
attribute.
The normalization can also differ from one, especially for small kernels, due
to the discretization step. This can be partly controlled by the mode
argument, when initializing the kernel (See also
discretize_model()
). Setting the
mode
to 'oversample'
allows to conserve the normalization even on the
subpixel scale.
The kernel arrays can be renormalized explicitly by calling either the
normalize()
method or by setting the normalize_kernel
argument in the
convolve()
and
convolve_fft()
functions. The latter
method leaves the kernel itself unchanged but works with an internal normalized
version of the kernel.
Note that for MexicanHat1DKernel
and MexicanHat2DKernel
there is
\(\int_{-\infty}^{\infty} f(x) dx = 0\). To define a proper normalization
both filters are derived from a normalized Gaussian function.


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The Action Cable client now ensures successful channel subscriptions:
- The client maintains a set of pending subscriptions until either the server confirms the subscription or the channel is torn down.
- Rectifies the race condition where an unsubscribe is rapidly followed by a subscribe (on the same channel identifier) and the requests are handled out of order by the ActionCable server, thereby ignoring the subscribe command.
Daniel Spinosa
Truncate broadcast logging messages.
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with ruby 3.0 onRemoteConnection#disconnect
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::ActionCable::Connection::Base
now allows intercepting unhandled exceptions withrescue_from
before they are logged, which is useful for error reporting tools and other integrations.Justin Talbott
Add
ActionCable::Channel#stream_or_reject_for
to stream if record is present, otherwise reject the connectionAtul Bhosale
Add
ActionCable::Channel#stop_stream_from
and#stop_stream_for
to unsubscribe from a specific stream.Zhang Kang
Add PostgreSQL subscription connection identificator.
Now you can distinguish Action Cable PostgreSQL subscription connections among others. Also, you can set custom
id
incable.yml
configuration.SELECT application_name FROM pg_stat_activity; /* application_name ------------------------ psql ActionCable-PID-42 (2 rows) */
Sergey Ponomarev
Subscription confirmations and rejections are now logged at the
DEBUG
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.DHH
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@* * Copyright 2019 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import play.twirl.api.Html @import models.auth.UserRequest @()(implicit messages: Messages, request: UserRequest[_], templateRenderer: uk.gov.hmrc.renderer.TemplateRenderer, formPartialRetriever: uk.gov.hmrc.play.partials.FormPartialRetriever) @templates.tamc_main( title = Messages("title.pattern", Messages("title.other-ways")), mainConfig = views.helpers.MainConfig( maybeMainDataAttributes = Some(Html("data-journey=marriage-allowance:stage:other-ways")))) {
@Html(Messages("pages.noyears.findoutmore"))


cloud break // tremor of the day
cloud break tremor of the day silver towers draw waists around their sullen faculties pipe wheat prancing ducking the twilight glow below: indignation slight of wrist a city’s baubled crown bijou: a night song pitter patter pearls dancing on canvas lids lapping at bitter breasts amber street lamps cast in caution lights the solemn rail heads listening at the gate anymore since then


Uttarakhand is the Best Place for Nature Lovers. It is the 27th state of India situated in North India. Dehradun is the Capital of Uttarakhand. States like Uttar Pradesh, Punjab, Haryana, Himanchal Pradesh, and countries like Nepal, Tibet are in the neighbourhood of Uttarakhand. It was extracted from Uttar Pradesh on 9th November 2000. Many a times you hear about Devbhoomi , it is the Second Name of Uttarakhand, which means "Land of the God". It is origin of two
holy rivers namely: Ganga from Gangotri and Yamuna from Yamunotri. This dream destination consists of Natural Beauty with Pure Water, Large Mountains, Snow falls, Lakes etc. If you want to see Heaven on Earth make a tour of Uttarakhand. Uttarakhand has three Airports namely Jolly Grant Airport at Dehradun and
Pantnagar Airport at Udham Singh Nagar District for Civil Aviation and Chakrata Base Airport at Dehradun which is basically used by Air force.
The Population of Uttarakhand is 10,116,752 according to the Census of 2011. It clearly shows that Uttarakhand is the 19th Most Populous State of India. A big
part of population belong to Villages and some of them live very difficult life. Only 12% of this State's is land area, another 88% is Hilly area. A big part of the population, approximately 70% depends on agriculture. Hindu, Muslim, Sikh, Christians, Buddhists and Jains all are living here but 88% of total population are Hindus and Muslims. BJP (Bharatiya Janta Party) and Congress are the two main political parties in Uttarakhand.
Kumaoni and Garhwali, the dialects of Hindi or more broadly Hindustani, are the regional languages of Uttarakhand. Haldwani, Kotdwar, Srinagar (Garhwal), Ramnagar are the cites which serve as the Gateway to the hilly regions of Uttarakhand. Kotdwar and Srinagar are on the entrance of the Garhwal hills and Nainital and Ramnagar on the Kumaon hills. High court of Uttarakhand is situated at Nainital. Uttarakhand is divided in two parts one is Kumaon, and another is Garhwal.
There are many Institutions in Uttrakhand, namely: Indian Military Academy (IMA) and Rashtriya Military College at Dehradun; IIT Roorkee, CBRI and NIH at Roorkee; and Lal Bahadur Shastri College of IAS Training at Mussorie.


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World Series of Darts Set for Hamilton Return in 2020
by Paul BlomfieldNovember 22, 2019
THE PDC's World Series of Darts is to return to Hamilton's Claudelands Arena on August 21-22 2020 following the huge success of the NZ Darts Masters earlier this year.
World number one Michael van Gerwen took victory when the World Series made its Hamilton debut in 2019 as part of the international circuit of events held annually.
2019 World Matchplay champion Rob Cross, former World Champion Gary Anderson and colourful Peter Wright also competed in Hamilton this year and would be in line to return in 2020.
The eight PDC stars travelling to New Zealand may also include Gerwyn Price, who recently won his second successive Grand Slam of Darts title in the UK and has moved up to third on the PDC Order of Merit.
Eight Oceanic representatives will also compete as the top talents from New Zealand and Australia take on the sport's biggest names in the two-day World Series event.
"It's fantastic for us to be able to return to Hamilton for the NZ Darts Masters in 2020, following what was a really successful debut at the Claudelands Arena in August," said PDC chief executive Matthew Porter.
"The World Series of Darts continues to go from strength to strength and the NZ Darts Masters will be our last of six worldwide events in 2020 as our top stars compete globally against the best local talent.
"It's been great to see the progression of darts in New Zealand in recent years as more players make their mark at the top level, and this will be another great opportunity for them to play against the sport's top names in front of their home fans."
Hamilton City Council General Manager of Venues, Tourism and Major Events Sean Murray said: “We’re excited to welcome the NZ Darts Masters back to Claudelands for a second consecutive year.
“The NZ Darts Masters was a highlight on Claudelands’ event calendar this year and we’re thrilled to see the top players in darts return next year. We look forward to building on the success of the inaugural tournament and providing an even better experience for fans in 2020.”
Tickets for the 2020 NZ Darts Masters will go on sale in January, however fans can sign up to receive further information via https://premier.ticketek.co.nz/shows/show.aspx?sh=DARTWAIT. Ticket prices and session times will be confirmed in due course.
2020 NZ Darts Masters
Claudelands Arena, Hamilton
Friday August 21
First Round x8
Saturday August 22
Quarter-Finals, Semi-Finals, Final
ENDS


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Net.HostNameFromAddress
Syntax
Net.HostNameFromAddress (
hostAddr : string) : string
Description
Returns the TCP/IP hostname of the machine whose numeric address is specified by the hostAddr parameter.
Details
The Net module requires a TCP/IP stack to be installed and operating in order to function. It does not communicate using any other protocols
It is possible for Firewalls to interfere with the actions of the Net module, preventing connections from taking place.
Example
The following program prints out the hostname of the machine whose TCP/IP numeric address is "<IP_ADDRESS>".
var hostAddr : string := "<IP_ADDRESS>"
put "The machine name of ", hostAddr, " is ",
Net.HostNameFromAddress (hostAddr)
Status
Exported qualified.
This means that you can only call the function by calling Net.HostNameFromAddress, not by calling LocalName.
See also
Net.HostAddressFromName.


[1] NOW it came to pass in those days, there went out a decree from Cæsar Augustus, that all the world should be enrolled.
[2] This was the first enrolment made when Quirinius was governor of Syria.
[3] And all went to enrol themselves, every one to his own city.
[4] And Joseph also went up from Galilee, out of the city of Nazareth, into Judæa, to the city of David, which is called Bethlehem, because he was of the house and family of David;
[5] to enrol himself with Mary, who was betrothed to him, being great with child.
[6] And it came to pass, while they were there, the days were fulfilled that she should be delivered.
[7] And she brought forth her firstborn son; and she wrapped him in swaddling clothes, and laid him in a manger, because there was no room for them in the inn.
[8] And there were shepherds in the same country abiding in the field, and keeping watch by night over their flock.
[9] And an angel of the Lord stood by them, and the glory of the Lord shone round about them: and they were sore afraid.
[10]
And the angel said unto them, Be not afraid; for behold, I bring you good tidings of great joy which shall be to all the people:
for there is born to you this day in the city of David a Saviour, who is Christ the Lord.
[11] And this is the sign unto you: Ye shall find a babe wrapped in swaddling clothes, and lying in a manger.
[12] And suddenly there was with the angel a multitude of the heavenly host praising God, and saying,
[13] Glory to God in the highest,
[14] And on earth peace among men in whom he is well pleased.
[15] And it came to pass, when the angels went away from them into heaven, the shepherds said one to another, Let us now go even unto Bethlehem, and see this thing that is come to pass, which the Lord hath made known unto us.
[16] And they came with haste, and found both Mary and Joseph, and the babe lying in the manger.
[17] And when they saw it, they made known concerning the saying which was spoken to them about this child.
[18] And all that heard it wondered at the things which were spoken unto them by the shepherds.
[19] But Mary kept all these sayings, pondering them in her heart.
[20] And the shepherds returned, glorifying and praising God for all the things that they had heard and seen, even as it was spoken unto them.
[21] And when eight days were fulfilled for circumcising him, his name was called JESUS, which was so called by the angel before he was conceived in the womb.
[22] And when the days of their purification according to the law of Moses were fulfilled, they brought him up to Jerusalem, to present him to the Lord
[23] (as it is written in the law of the Lord, Every male that openeth the womb shall be called holy to the Lord),
[24] and to offer a sacrifice according to that which is said in the law of the Lord, A pair of turtledoves, or two young pigeons.
[25] And behold, there was a man in Jerusalem, whose name was Simeon; and this man was righteous and devout, looking for the consolation of Israel: and the Holy Spirit was upon him.
[26] And it had been revealed unto him by the Holy Spirit, that he should not see death, before he had seen the Lord’s Christ.
[27] And he came in the Spirit into the temple: and when the parents brought in the child Jesus, that they might do concerning him after the custom of the law,
[28] then he received him into his arms, and blessed God, and said,
[29]
Now lettest thou thy servant depart, Lord,
According to thy word, in peace;
[30]
For mine eyes have seen thy salvation,
Which thou hast prepared before the face of all peoples;
[31]
A light for revelation to the Gentiles,
And the glory of thy people Israel.
[32] And his father and his mother were marvelling at the things which were spoken concerning him;
[33] and Simeon blessed them, and said unto Mary his mother, Behold, this child is set for the falling and the rising of many in Israel; and for a sign which is spoken against;
[34] yea and a sword shall pierce through thine own soul; that thoughts out of many hearts may be revealed.
[35] And there was one Anna, a prophetess, the daughter of Phanuel, of the tribe of Asher (she was of a great age, having lived with a husband seven years from her virginity,
[36] and she had been a widow even unto fourscore and four years), who departed not from the temple, worshipping with fastings and supplications night and day.
[37] And coming up at that very hour she gave thanks unto God, and spake of him to all them that were looking for the redemption of Jerusalem.
[38] And when they had accomplished all things that were according to the law of the Lord, they returned into Galilee, to their own city Nazareth.
[39] And his parents went every year to Jerusalem at the feast of the passover.
[41] And when he was twelve years old, they went up after the custom of the feast;
[42] and when they had fulfilled the days, as they were returning, the boy Jesus tarried behind in Jerusalem; and his parents knew it not;
[43] but supposing him to be in the company, they went a day’s journey; and they sought for him among their kinsfolk and acquaintance:
[44] and when they found him not, they returned to Jerusalem, seeking for him.
[45] And it came to pass, after three days they found him in the temple, sitting in the midst of the teachers, both hearing them, and asking them questions:
[46] and all that heard him were amazed at his understanding and his answers.
[47] And when they saw him, they were astonished; and his mother said unto him, Son, why hast thou thus dealt with us? behold, thy father and I sought thee sorrowing.
[48] And he said unto them, How is it that ye sought me? knew ye not that I must be in my Father’s house?
[49] And they understood not the saying which he spake unto them.
[50] And he went down with them, and came to Nazareth; and he was subject unto them: and his mother kept all these sayings in her heart.
[51] And Jesus advanced in wisdom and stature, and in favor with God and men.


LIFE BEFORE THIS, THE (director/writer: Jerry Ciccoritti; screenwriter: Semi Chellas; cinematographer: Narayr Kasper; editors: Nick Rotundo/George Roulston; cast: Catherine O'Hara (Sheena), Stephen Rea (Brian), Sarah Polley (Connie), Joe Pantoliano (Jake Maclean), Martha Burns (Gwen Maclean), Emily Hampshire (Maggie), Alison Pill (Jessica), Leslie Hope (Alice), David Hewlett (Nick), Joel S. Keller (Kevin), Bernard Behrens (Froggie), Fab Filippo (Michael), Callum Keith Rennie (cafe manager); Runtime: 92; First Look Pictures; 1999-Canada)
Reviewed by Dennis Schwartz
This one's a dry turkey. It has a good idea for a suspense thriller, but it is poorly scripted and executed. This fine ensemble cast is stuck in an unwieldy production, where characters have a lost look in their eyes. It's no wonder, they must realize that all they have to look forward to in this film is a contrived ending.
The Life Before This is a fictional movie that relates to an actual news story in Toronto.  It has seven intermeshing stories and an assorted number of characters are used to bring the 12 main people to life. The film opens showing one version of the shootout in the coffee shop but in its concluding version, it shows the same shootout but with different results. In that version, it becomes clear that the shooting is a result of a conflict over not splitting the money after a casino heist. But the main difference is, that there are different folks in the cafe who get plugged.
The main characters stiffly play their roles, giving this film an amateur look, as they converge on that fatal night at the coffee shop (at least in one version or the other they are there). Catherine O'Hara is a middle-aged lonelyheart spinster, working as a bridal gown seamstress, who anguishes about going on a blind date. Stephen Rea is an exterminator who is a depressed over the loss of his daughter in a recent accident. Emily Hampshire is obese and unattractive to men, and is an aspiring actress who has so far disappointed her successful actress mom by working in the coffee shop. Joe Pantoliano is an unscrupulous lawyer, who must pay back the huge sum of money he stole from a client by tomorrow or be charged with a crime.  Sarah Polley has a spat with her lawyer boyfriend. She is Emily's co-worker, who is asked by her to change shifts. David Hewlett and his girlfriend Leslie Hope get into a tiff with fellow armed robber Joel S. Keller, that proves fatal to both men.
The film's strategy is to show how one can change their plans and either avert a catastrophe or run right into it, which is hardly a fresh premise. But if done right, this film could have been worth the effort, even if many films have done the same theme before. All this movie does, is play with time and structure in too obvious a way, and because the plot is so heavy-handed, there are no chills in it.
REVIEWED ON 2/27/2001 GRADE: D
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


Snippets Of Code
To explain the differences of Block, Proc, and Lamda, it's important to first look at their similarities. B's, P's, and L's are snippets of code saved as data that can be executed. Let's take a look at a standard method call.
Here we have a standard method on lines 1-3. If we call the method on line 5, we should see an output of hi! If we wanted to include parameters in our method call, we would assign a parameter as we construct the method as seen below.
But what if I wanted to run a snippet of code like how all the cool methods do it on Ruby-Docs? Well that's when we would use yield
The formal definition of yield is something along the lines of giving control of the method over to the block, and the block is defined by being right next to the method call. So if we were to run this, we would get "yo" because of line 2, and then "hi from the block!" because of yield on line 3 and the block on line 6. What's important to note is that yield does not implicitly return, or in english, does not end running the rest of the code after yield. So if I had something like this:
I would see an output of "yo", then "hi from the block!", then "yo" again.
Procs
Now what if you want to name your block?  Procs are basically named blocks. Take a look at the example below. On line 1, we assign our block a name of &banana, and within the method itself, I am able to replace yield with banana.call.
What is the problem here? I assigned a name to my block inside my method parameter, so the scope of &banana is only the method say. If I wanted to use the proc in other methods, I need to assign the name to the snippit of code itself like so.
I got rid of the & and named my proc as banana on line 1. Now I can use this proc in any method by passing in my keyword as an extra parameter
Lamda
Lamdas are identical to Procs, but are created differently. Lets take a look.
Proc vs. Lambda
Lambda's care about arity/the number of arguments accepted.it also will return from the placement inside the method. So if you write a lambda that has a return, it won't throw an error.
Procs on the other hand will return from the place it's located at. Therefore if you create a proc that's not enclosed by a method and write in a return, it will throw an error since you are trying to return from main.
Other uses
Procs and Lambdas can also be created with placeholders and called by assigning parameters in the proc/lambda call.
Guard Clauses
To make sure that you don't throw an error when creating a method that takes a proc or lambda, make sure to write ____ if block_given? This will make the proc/lambda optional.


On 16 July 2018, 4 new articles were published in 3 journals.
Being Held to Account: Detainees’ Perceptions of Police Body-Worn Cameras
Intimate Partner Homicide: Themes in Judges’ Sentencing Remarks
Research and Analysis: the Scale and Nature of Fraud: A Review of the Evidence
Research and Analysis: the Scale and Drivers of Attrition in Reported Fraud and Cyber Crime


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"x" "1" "BARTCZAK,AW, SANGAIAH,R, BALL,LM, WARREN,SH AND GOLD,A, SYNTHESIS ANDBACTERIAL MUTAGENICITY OF THE CYCLOPENTA OXIDES OF THE FOUR CYCLOPENTA-FUSEDISOMERS OF BENZANTHRACENE, MUTAGENESIS 2(2):101-105, 19 __ 87"


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STEP 1: Setting Up The Basic Navbar HTML
|
Three graphics are placed in a table layout and each graphic is linked to an appropriate HTML document. This will provide the basics for the navigation. In the sample below, the table border has been set to 1 so you can see how the graphics are set in the table layout.
Now, let's take a look at the HTML for this sample. Notice how indenting has been used to make the HTML source a little easier to read. It's not really necessary to have this indenting in your real HTML pages.

  |


Founded in 1944, The World Wide Web Consortium (W3C) is an organization that works with other agencies to develop web standards. W3C's primary activity is to develop protocols and guidelines that ensure long-term growth for the Web. W3C's standards define key parts of what makes the World Wide Web work.
W3 standards allow developers to the potential to build rich interactive experiences, powered by vast data stores, that are available on any device. W3C and its partners created new technologies including CSS, SVG, WOFF, the Semantic Web stack, XML, and a variety of APIs.
Hyper Text Markup Language
A language that shows the data/images/videos should look like on a webpage when rendered on a computer or on a mobile device.
HTML consists of a series of elements, which you use to enclose, or wrap, different parts of the content to make it appear a certain way, or act a certain way. The enclosing tags can make a word or image hyperlink to somewhere else, can italicize words, can make the font bigger or smaller, and so on. For example, take the following line of content:
I am an Alien, watch out!
If we wanted the line to stand by itself, we could specify that it is a paragraph by enclosing it in paragraph tags:

I am an Alien, watch out!

Cascading Style Sheets is used for making the webpage more personalized, interactive and user friendly. The Text of the page is included directly in the code, while images and videos have separate path/URL and need to be requested and display as they being delivered.
Source: W3C


Cookie persistence is enabled here.
Also, double-click handler expands document nodes.
Select a node and hit [F5] to refresh, to see how the active node and
expansion and selection states are restored.
NOTE: if this doesn't seem to work, it's probably because the frame
content is cached by the browser.
Try this example as an
unframed page.
jquery.dynatree.js project home Link to this page Example Browser View source code


| CDA |
Conversation |
Assemble a pizza-ordering chatbot dialog |
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CloudFoundry |
Conversation |
✔ |
✔ |
| CDA |
Conversation |
Create a cognitive banking chatbot |
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CloudFoundry |
Conversation, Discovery, Tone Analyzer, Natural Language Understanding |
✔ |
✔ |
| CDA |
Conversation |
Create a cognitive retail chatbot |
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CloudFoundry |
Cloudant, Conversation, Discovery |
✔ |
✔ |
| CDA |
Conversation |
Create a sports buddy with TJBot and Watson |
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Hardware |
Conversation, Discovery, Text-to-Speech, Speech-to-Text, Tone Analyzer |
✘ |
✔ |
| CDA |
Conversation |
Create a virtual reality speech sandbox |
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Hardware |
Conversation, Speech-to-Text, Text-to-Speech |
✘ |
✔ |
| CDA |
Conversation |
Create an Alexa skill with serverless and a conversation |
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OpenWhisk |
Conversation, Compose for Redis, Weather Company |
✘ |
✘ |
| CDA |
Data Science |
Analyze Starcraft II replays with Jupyter Notebooks |
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Data Science Experience |
Cloudant, Object Storage |
✘ |
✔ |
| CDA |
Data Science |
Analyze Tweets with Jupyter Notebooks |
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Data Science Experience |
Apache Spark, Object Store, Db2 on Cloud |
✘ |
✘ |
| CDA |
Data Science |
Analyze traffic data from the city of San Francisco |
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Data Science Experience |
Apache Spark, Object Store |
✘ |
✔ |
| CDA |
Data Science |
Discover hidden Facebook usage insights |
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Data Science Experience |
Tone Analyzer, Natural Language Understanding, Visual Recognition |
✘ |
✔ |
| CDA |
Data Science |
Extend Watson text classification |
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Data Science Experience |
Natural Language Understanding, Apache Spark, Object Storage |
✘ |
✔ |
| CDA |
Data Science |
Orchestrate data science workflows using Node-RED |
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Data Science Experience |
Apache Spark, Object Storage, Node SDK |
✘ |
✔ |
| CDA |
Data Science |
Watson document correlation |
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Data Science Experience |
Natural Language Understanding, Apache Spark, Object Storage |
✘ |
✔ |
| CDA |
Discovery |
Create a cognitive news alerting app |
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CloudFoundry |
Discovery, Cloudant |
✘ |
✔ |
| CDA |
Discovery |
Create a cognitive news search app |
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CloudFoundry |
Discovery |
✔ |
✔ |
| CDA |
Discovery |
Mine enterprise data for insight with cognitive technology |
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CloudFoundry |
Discovery |
✔ |
✔ |
| CDA |
Open Tech |
Develop a graph database app using JanusGraph |
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✘ |
✘ |
| CDA |
Open Tech |
Cloud-host a graph database using Kubernetes |
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Kubernetes |
|
✘ |
✔ |
| CDA |
Open Tech |
Create a Mobile Handwritten Hangul Translation App |
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Mobile |
Language Translator |
✘ |
✘ |
| CDA |
PowerAI |
Accelerate training of machine learning algorithms |
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Nimbix |
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✘ |
✘ |
| CDA |
PowerAI |
Image recognition training with PowerAI notebooks |
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Nimbix |
|
✘ |
✘ |
| CDA |
Visual Recognition |
Create an Android calorie-counter app |
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CloudFoundry, Mobile |
Visual Recognition |
✔ |
✘ |
| CDA |
Visual Recognition |
Enrich multimedia files using services |
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CloudFoundry |
Visual Recognition, Natural Language Understanding, Speech-to-Text, Tone Analyzer |
✔ |
✘ |
| CDA |
Spark Technology Center |
Build a recommender with Apache Spark and Elasticsearch |
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Data Science Experience |
Apache Spark |
✘ |
✔ |
| CDA |
Spark Technology Center |
Perform a machine learning exercise |
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Data Science Experience |
Apache Spark |
✘ |
✔ |
| CDA |
Spark Technology Center |
Use Spark SQL to access NoSQL HBase tables |
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Apache Spark |
✘ |
✘ |
| CI |
Containers |
Quickly and easily deploy OrientDB as a container using Kubernetes
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Kubernetes |
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✘ |
✔ |
| CI |
API Connect |
Create REST APIs using LoopBack |
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CloudFoundry |
Compose for MongoDB, Loopback |
✘ |
✘ |
| CI |
API Connect |
Create a hybrid cloud with API Connect and Secure Gateway |
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API Connect, Secure Gateway |
✘ |
✘ |
| CI |
API Connect |
Unlock Enterprise data using APIs |
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CloudFoundry, OpenWhisk |
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✔ |
✘ |
| CI |
Containers |
Deploy Spring Boot microservices on Kubernetes |
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Kubernetes, OpenWhisk |
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✔ |
✘ |
| CI |
Containers |
Deploy a scalable Apache Cassandra database on Kubernetes |
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Kubernetes |
|
✔ |
✔ |
| CI |
Containers |
Deploy a scalable WordPress implementation on Kubernetes |
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Kubernetes |
Compose for MySQL |
✔ |
✘ |
| CI |
Containers |
Implement computer vision for PlayerUnknown’s Battlegrounds live streams
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Kubernetes |
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✘ |
✔ |
| CI |
Containers |
Manage microservices traffic using Istio |
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Kubernetes |
|
✔ |
✔ |
| CI |
Containers |
Run GitLab on Kubernetes |
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Kubernetes |
Compose for PostgreSQL |
✔ |
✘ |
| CI |
J2EE |
Deploy Java microservices on Kubernetes with polyglot support |
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Kubernetes |
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✔ |
✔ |
| CI |
J2EE |
Deploy MicroProfile-based Java microservices on Kubernetes |
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Kubernetes |
|
✔ |
✔ |
| CI |
J2EE |
Make Java microservices resilient with Istio |
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Kubernetes |
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✔ |
✔ |
| CI |
Serverless |
Automatically scale to handle peaks in banking transaction demand
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OpenWhisk |
Cloudant, Object Store, SendGrid |
✘ |
✘ |
| CI |
Serverless |
Build serverless API handlers |
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OpenWhisk |
Compose for MySQL |
✔ |
✘ |
| CI |
Serverless |
Make apps smarter with serverless |
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OpenWhisk |
API Connect |
✔ |
✘ |
| CI |
Serverless |
Respond to Messages and Handle Streams |
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OpenWhisk |
MessageHub |
✔ |
✘ |
| CI |
z Systems |
Apply machine learning to financial risk management |
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Mainframe |
|
✘ |
✘ |
| CI |
z Systems |
Boost insight by moving analytics closer to data |
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Mainframe |
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✘ |
✘ |
| CI |
z Systems |
Create financial applications using APIs on mainframe |
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Mainframe |
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✘ |
✘ |
| CI |
z Systems |
Run blockchain technology on a Linux mainframe |
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Mainframe |
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✘ |
✘ |
| CI |
z Systems |
Run cloud-native workloads on a Linux mainframe |
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Mainframe |
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✘ |
✘ |
| CI |
z Systems |
Transform the retail customer experience with APIs on a mainframe
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Mainframe |
|
✘ |
✘ |
| CI |
z Systems |
Turn your mainframe into an API powerhouse |
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Mainframe |
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✘ |
✘ |
| ETI |
Blockchain |
Build a blockchain network |
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Hyperledger Composer |
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✘ |
✘ |
| ETI |
IoT |
Industrial Visual Analysis |
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OpenWhisk |
Cloudant, Visual Recognition |
✘ |
✔ |
| ETI |
Blockchain |
Create a to-do list app using blockchain |
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Hyperledger Composer |
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✘ |
✘ |
| ETI |
Blockchain |
Create and execute blockchain smart contracts |
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Hyperledger Composer |
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✘ |
✘ |
| ETI |
Blockchain |
Decentralized energy with Hyperledger Composer |
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Hyperledger Composer |
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✘ |
✘ |
| ETI |
Blockchain |
Deploy an asset-transfer app using blockchain |
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Hyperledger Composer |
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✘ |
✘ |
| ETI |
Blockchain |
Model FDA Foreign Supplier Verification Program requirements |
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Hyperledger Composer |
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✘ |
✘ |
| ETI |
FinTech |
Construct a Socially Responsible Investment Portfolio |
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CloudFoundry |
CloudFoundry, Investment Portfolio, Portfolio Optimization |
✔ |
✘ |
| ETI |
FinTech |
Create a stress-test app for investment portfolios |
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CloudFoundry |
Investment Portfolio, Predictive Market Scenarios, Simulated Instrument Analytics |
✔ |
✘ |
| ETI |
FinTech |
Create an investment management chatbot |
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CloudFoundry |
Conversation, Cloudant, Investment Portfolio, Simulated Instrument Analytics |
✔ |
✘ |
| ETI |
FinTech |
Integrate a financial investment portfolio |
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CloudFoundry |
Investment Portfolio |
✔ |
✘ |
| ETI |
IoT |
Build and monitor your own IoT-driven conveyor belt |
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IoT Platform |
|
✔ |
✔ |
| ETI |
IoT |
Correlate flight and weather data in augmented reality |
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|
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IoT Platform |
Weather Company Data, Streaming Analytics |
✘ |
✘ |
| ETI |
IoT |
Detect change points in IoT sensor data |
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Data Science Experience |
Object Store, Apache Spark, Node SDK, DB2 on Cloud |
✘ |
✘ |
| ETI |
IoT |
Detect voltage anomalies in household IoT devices |
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IoT Platform |
Cloudant, Node SDK |
✔ |
✔ |
| ETI |
IoT |
Develop an IoT app with Node-RED and Watson |
|
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IoT Platform |
Cloudant, Node SDK, Availability Monitoring |
✔ |
✘ |
| ETI |
IoT |
Implement voice controls for a serverless home automation hub |
|
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|
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OpenWhisk, IoT Platform |
Conversation, Speech-to-Text |
✔ |
✘ |
| ETI |
IoT |
Power your smart fridge to request replacement parts |
|
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|
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OpenWhisk, IoT Platform |
Cloudant, SendGrid |
✘ |
✘ |
| ETI |
IoT |
Robotic Calculations and Inference Agent |
|
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|
|
Data Science Experience |
Cloudant, Object Storage, Apache Spark, Conversation |
✘ |
✘ |
| ETI |
Swift |
Apply cognitive to mobile images on the go |
|
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|
|
CloudFoundry |
Mobile App ID, Weather Company Data, Object Storage, Visual Recognition, Mobile Push Notifications |
✔ |
✘ |
| ETI |
Swift |
Build a cognitive recommendation app with Swift |
|
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|
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CloudFoundry |
Conversation, Natural Language Understanding, Speech-to-Text, Text-to-Speech |
✔ |
✔ |
| ETI |
Swift |
Build an enterprise Swift app using services |
|
|
|
|
CloudFoundry |
Alert Notification, Auto-Scaling |
✔ |
✘ |
| ETI |
Swift |
Use Swift to interpret unstructured data from Hacker News |
|
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|
|
CloudFoundry |
Natural Language Understanding |
✔ |
✔ |