Views
What is a view?
Views are files that present data to the browser. These files enable the separation of logic and presentation for your application. Views are typically html, javascript, or css but can contain variables passed into them from the controller.
Creating a view
In Fuel, Views are located in the fuel/app/views directory. Views can be located in subdirectories. Views are named by their directory path from the fuel/app/views and the file name. So a view file located fuel/app/views/user/join.php would be named user/join.
Example:

<title><?php echo $title; ?></title>

Welcome, <?php echo $username; ?>.

Using views
Views in the Fuel framework are very flexible. You can create a single view and nest views within other views. This can be done multiple ways.
Example View (fuel/app/views/home/index.php):

<title><?php echo $title; ?></title>

Welcome, <?php echo $username; ?>.

Method 1 (using example view above):
class Controller_Home extends Controller {
$data = array(); //stores variables going to views
$data['username'] = 'Joe14';
$data['title'] = 'Home';
//assign the view to browser output
$this->response->body = View::factory('home/index', $data);
}
Method 2 (using example view above):
class Controller_Home extends Controller {
//create the view
$view = View::factory('home/index');
//assign variables for the view
$view->username = 'Joe14';
$view->title = 'Home';
//another way to assign variables for the view
$view->set('username', 'Joe14');
$view->set('title', 'Home');
//assign the view to browser output
$this->response->body = $view;
}
Security
By default Views use output encoding to sanitize anything you pass to them using Security::htmlentities(). If you want to pass something unfiltered you can use the method set($name, $value, false).
class Controller_Example extends Controller {
public function action_index()
{
$view = \View::factory('example');
// add it unfiltered just like you added
// add it filtered, outputs: not bold because filtered
$view->title = 'not bold because filtered';
// add it unfiltered just like you added
$view->set('title', 'not bold because filtered', false);
}
}
If you don't want your View to work like this change the public static property View::$auto_encode and set it to false. Now anything will be added unfiltered, if you do want some values filtered you can use set($name, $value, true).
Note on objects: Unless the passed object is of the type View, ViewModel or Closure it is
expected to have a __toString() method and forced to be a string when output filtering is enabled. If you want
to pass it anyway you need to use set($name, $value, false), but don't forget to filter what you
use!
View & ViewModels are expected to contain HTML and take care of their own filtering, which is why they're
not sanitized. Closures cannot be sanitized, and you should take care to ensure this is done within them if
necessary.
Nesting Views
Views can also be nested, meaning views can contain other views. This can be done multiple ways.
Example Views
fuel/app/views/layout.php

<?php echo $head; ?>

<?php echo $header; ?>
<?php echo $content; ?>
<?php echo $footer; ?>

fuel/app/views/head.php
<title><?php echo $title; ?></title>
fuel/app/views/header.php

<?php echo $site_title; ?>

fuel/app/views/content.php
<title><?php echo $title; ?></title>

Welcome <?php echo $username; ?>

fuel/app/views/footer.php

© Copyright <?php echo date('Y');?> <?php echo $site_title; ?>

Method 1 (using example views above):
class Controller_Home extends Controller {
public function action_index()
{
//create the view
$view = View::factory('layout');
//assign variables
$view->username = 'Joe14';
$view->set('title', 'Home');
$view->site_title = 'My Website';
//assign views as variables
$view->head = View::factory('head');
$view->header = View::factory('header');
$view->content = View::factory('content');
$view->footer = View::factory('footer');
//assign to browser output
$this->response->body = $view;
}
}
Method 2 (using example views above):
class Controller_Home extends Controller {
public function action_index()
{
//assign variables
$data = array();
$data['title'] = 'Home';
$data['site_title'] = 'My Website';
$data['username'] = 'Joe14';
//assign views as variables
$data['head'] = View::factory('head', $data)->render();
$data['header'] = View::factory('header', $data)->render();
$data['content'] = View::factory('content', $data)->render();
$data['footer'] = View::factory('footer', $data)->render();
//assign to browser output
$this->output = View::factory('layout', $data);
}
}
See the View Class in the classes section for View's function descriptions.


--- title: A Custom Run Hook to Create and Update Progress Bar During Training or Evaluation type: docs repo: https://github.com/rstudio/tfestimators menu: main: name: A Custom Run Hook to Create and Update Progress Bar During Training or Evaluation - tfestimators parent: tfestimators-reference aliases: - /reference/tfestimators/hook_progress_bar.html - /tfestimators/reference/hook_progress_bar.html - /guide/tfestimators/reference/hook_progress_bar.html - /tools/tools/tfestimators/reference/hook_progress_bar.html - /installation/tfestimators/reference/hook_progress_bar.html - /tutorials/tfestimators/reference/hook_progress_bar.html - /guide/tools/tfestimators/reference/hook_progress_bar.html - /deploy/tfestimators/reference/hook_progress_bar.html - /tools/tfestimators/reference/hook_progress_bar.html - /tutorials/tools/tfestimators/reference/hook_progress_bar.html ---
This hook creates a progress bar that creates and updates the progress bar during training or evaluation.
hook_progress_bar()
Other session_run_hook wrappers: hook_checkpoint_saver
,
hook_global_step_waiter
,
hook_history_saver
,
hook_logging_tensor
,
hook_nan_tensor
,
hook_step_counter
,
hook_stop_at_step
,
hook_summary_saver
,
session_run_hook


Performance Report:
Number of items in the sample: {{ num_sample_items }}
Average time to find related articles for an item: {{ avg_time }}
Average number of articles found for an item: {{ avg_num_related_papers }}
Percentage of items for which no articles were found: {{ percent_num_no_related }}%


Form: {{ task.form && (getForm(task.form)?.form_name || 'Unknown form') }}
Document: {{ task.document && (getDoc(task.document)?.filename || 'Unkown Document') }}
Are you sure you want to delete this task?
Are you sure you want to delete this stage?


Nome
Time
Permissão
@foreach ($members as $member)
{{$member->profile->name}}
{{$member->team->name}}
{{$member->type}}
@endforeach


Sentimentator is a game for creating fine-grained sentence-level annotations for research in Sentiment Analysis. Researchers need annotated sentences to compile comprehensive data sets for tasks such as machine learning. You can annotate sentences in a number of languages. Just pick the language or languages with which you want to work and start annotating!


A fast and flexible O(n) difference algorithm framework for Swift collection. The algorithm is optimized based on the Paul Heckel’s algorithm.
Made with ❤ by Ryo Aoyama and Contributors
Features
💡 Fastest O(n) diffing algorithm optimized for Swift collection
💡 Calculate diffs for batch updates of list UI in UIKit
, AppKit
and Texture
💡 Supports both linear and sectioned collection even if contains duplicates
💡 Supports all kind of diffs for animated UI batch updates
Algorithm
This is a diffing algorithm developed for Carbon, works stand alone.
The algorithm optimized based on the Paul Heckel’s algorithm.
See also his paper A technique for isolating differences between files
released in 1978.
It allows all kind of diffs to be calculated in linear time O(n).
RxDataSources and IGListKit are also implemented based on his algorithm.
However, in performBatchUpdates
of UITableView
, UICollectionView
, etc, there are combinations of diffs that cause crash when applied simultaneously.
To solve this problem, DifferenceKit
takes an approach of split the set of diffs at the minimal stages that can be perform batch updates with no crashes.
Implementation is here.
Getting Started
Basic Usage
The type of the element that to take diffs must be conform to the Differentiable
protocol.
The differenceIdentifier
‘s type is generic associated type:
struct User: Differentiable {
let id: Int
let name: String
var differenceIdentifier: Int {
return id
}
func isContentEqual(to source: User) -> Bool {
return name == source.name
}
}
In the case of definition above, id
uniquely identifies the element and get to know the user updated by comparing equality of name
of the elements in source and target.
There are default implementations of Differentiable
for the types that conforming to Equatable
or Hashable
：
// If `Self` conforming to `Hashable`.
var differenceIdentifier: Self {
return self
}
// If `Self` conforming to `Equatable`.
func isContentEqual(to source: Self) -> Bool {
return self == source
}
Therefore, you can simply:
extension String: Differentiable {}
Calculate the diffs by creating StagedChangeset
from two collections of elements conforming to Differentiable
:
let source = [
User(id: 0, name: "Vincent"),
User(id: 1, name: "Jules")
]
let target = [
User(id: 1, name: "Jules"),
User(id: 0, name: "Vincent"),
User(id: 2, name: "Butch")
]
let changeset = StagedChangeset(source: source, target: target)
If you want to include multiple types conforming to Differentiable
in the collection, use AnyDifferentiable
:
let source = [
AnyDifferentiable("A"),
AnyDifferentiable(User(id: 0, name: "Vincent"))
]
In the case of sectioned collection, the section itself must have a unique identifier and be able to compare whether there is an update.
So each section must conforming to DifferentiableSection
protocol, but in most cases you can use ArraySection
that general type conforming to it.
ArraySection
requires a model conforming to Differentiable
for diffing from other sections:
enum Model: Differentiable {
case a, b, c
}
let source: [ArraySection<Model, String>] = [
ArraySection(model: .a, elements: ["A", "B"]),
ArraySection(model: .b, elements: ["C"])
]
let target: [ArraySection<Model, String>] = [
ArraySection(model: .c, elements: ["D", "E"]),
ArraySection(model: .a, elements: ["A"]),
ArraySection(model: .b, elements: ["B", "C"])
]
let changeset = StagedChangeset(source: source, target: target)
You can perform diffing batch updates of UITableView
and UICollectionView
using the created StagedChangeset
.
⚠ Don’t forget to synchronously update the data referenced by the data-source, with the data passed in the setData
closure. The diffs are applied in stages, and failing to do so is bound to create a crash:
tableView.reload(using: changeset, with: .fade) { data in
dataSource.data = data
}
Batch updates using too large amount of diffs may adversely affect to performance.
Returning true
with interrupt
closure then falls back to reloadData
:
collectionView.reload(using: changeset, interrupt: { $0.changeCount > 100 }) { data in
dataSource.data = data
}
[See More Usage]
Comparison with Other Frameworks
Made a fair comparison as much as possible in performance and features with other popular and awesome frameworks.
This does NOT determine superiority or inferiority of the frameworks.
I know that each framework has different benefits.
The frameworks and its version that compared is below.
- DifferenceKit - master
- RxDataSources (Differentiator) - 4.0.1
- FlexibleDiff - 0.0.8
- IGListKit - 3.4.0
- DeepDiff - 2.2.0
- Differ (Diff.swift) - 1.4.3
- Dwifft - 0.9
- Swift.CollectionDifference Swift 5.1
Performance Comparison
Benchmark project is here.
Performance was mesured by code compiled using Xcode11.1
and Swift 5.1
with -O
optimization and run on iPhone11 Pro simulator
.
Use Foundation.UUID
as an element of collections.
- From 5,000 elements to 1,000 deleted, 1,000 inserted and 200 shuffled
| Time(sec) | |
|---|---|
| DifferenceKit | 0.0019 |
| RxDataSources | 0.0074 |
| IGListKit | 0.0346 |
| FlexibleDiff | 0.0161 |
| DeepDiff | 0.0373 |
| Differ | 1.0581 |
| Dwifft | 0.4732 |
| Swift.CollectionDifference | 0.0620 |
- From 100,000 elements to 10,000 deleted, 10,000 inserted and 2,000 shuffled
| Time(sec) | |
|---|---|
| DifferenceKit | 0.0348 |
| RxDataSources | 0.1024 |
| IGListKit | 0.7002 |
| FlexibleDiff | 0.2189 |
| DeepDiff | 0.5537 |
| Differ | 153.8007 |
| Dwifft | 187.1341 |
| Swift.CollectionDifference | 5.0281 |
Features Comparison
- Algorithm
| Base algorithm | Order | |
|---|---|---|
| DifferenceKit | Heckel | O(N) |
| RxDataSources | Heckel | O(N) |
| FlexibleDiff | Heckel | O(N) |
| IGListKit | Heckel | O(N) |
| DeepDiff | Heckel | O(N) |
| Differ | Myers | O(ND) |
| Dwifft | Myers | O(ND) |
| Swift.CollectionDifference | Myers | O(ND) |
* Heckel algorithm
* Myers algorithm
- Supported Collection
| Linear | Sectioned | Duplicate element/section | |
|---|---|---|---|
| DifferenceKit | ✅ | ✅ | ✅ |
| RxDataSources | ❌ | ✅ | ❌ |
| FlexibleDiff | ✅ | ✅ | ✅ |
| IGListKit | ✅ | ❌ | ✅ |
| DeepDiff | ✅ | ❌ | ✅ |
| Differ | ✅ | ✅ | ✅ |
| Dwifft | ✅ | ✅ | ✅ |
| Swift.CollectionDifference | ✅ | ❌ | ✅ |
* Linear means 1-dimensional collection
* Sectioned means 2-dimensional collection
- Supported Element Diff
| Delete | Insert | Move | Reload | Move across sections | |
|---|---|---|---|---|---|
| DifferenceKit | ✅ | ✅ | ✅ | ✅ | ✅ |
| RxDataSources | ✅ | ✅ | ✅ | ✅ | ✅ |
| FlexibleDiff | ✅ | ✅ | ✅ | ✅ | ❌ |
| IGListKit | ✅ | ✅ | ✅ | ✅ | ❌ |
| DeepDiff | ✅ | ✅ | ✅ | ✅ | ❌ |
| Differ | ✅ | ✅ | ✅ | ❌ | ❌ |
| Dwifft | ✅ | ✅ | ❌ | ❌ | ❌ |
| Swift.CollectionDifference | ✅ | ✅ | ✅ | ❌ | ❌ |
- Supported Section Diff
| Delete | Insert | Move | Reload | |
|---|---|---|---|---|
| DifferenceKit | ✅ | ✅ | ✅ | ✅ |
| RxDataSources | ✅ | ✅ | ✅ | ❌ |
| FlexibleDiff | ✅ | ✅ | ✅ | ✅ |
| IGListKit | ❌ | ❌ | ❌ | ❌ |
| DeepDiff | ❌ | ❌ | ❌ | ❌ |
| Differ | ✅ | ✅ | ✅ | ❌ |
| Dwifft | ✅ | ✅ | ❌ | ❌ |
| Swift.CollectionDifference | ❌ | ❌ | ❌ | ❌ |
Requirements
- Swift 4.2+
- iOS 9.0+
- tvOS 9.0+
- OS X 10.9+
- watchOS 2.0+ (only algorithm)
Installation
CocoaPods
To use only algorithm without extensions for UI, add the following to your Podfile
:
pod 'DifferenceKit/Core'
iOS / tvOS
To use DifferenceKit with UIKit extension, add the following to your Podfile
:
pod 'DifferenceKit'
or
pod 'DifferenceKit/UIKitExtension'
macOS
To use DifferenceKit with AppKit extension, add the following to your Podfile
:
pod 'DifferenceKit/AppKitExtension'
watchOS
There is no UI extension for watchOS.
To use only algorithm without extensions for UI, add the following to your Podfile
:
pod 'DifferenceKit/Core'
Carthage
Add the following to your Cartfile
:
github "ra1028/DifferenceKit"
Swift Package Manager for Apple platforms
Select Xcode menu File > Swift Packages > Add Package Dependency
and enter repository URL with GUI.
Repository: https://github.com/ra1028/DifferenceKit
Swift Package Manager
Add the following to the dependencies of your Package.swift
:
.package(url: "https://github.com/ra1028/DifferenceKit.git", from: "version")
Contribution
Pull requests, bug reports and feature requests are welcome 🚀
Please see the CONTRIBUTING file for learn how to contribute to DifferenceKit.
Credit
Bibliography
DifferenceKit was developed with reference to the following excellent materials and framework.
- A technique for isolating differences between files (by Paul Heckel)
- DifferenceAlgorithmComparison (by @horita-yuya)
OSS using DifferenceKit
The list of the awesome OSS which uses this library. They also help to understanding how to use DifferenceKit.
- Carbon (by @ra1028)
- DiffableDataSources (by @ra1028)
- Rocket.Chat.iOS (by RocketChat)
- wire-ios (by Wire Swiss GmbH)
- ReactiveLists (by PlanGrid)
- ReduxMovieDB (by @cardoso)
- TetrisDiffingCompetition (by @skagedal)
Other diffing libraries
I respect and ❤ all libraries involved in diffing.
- RxDataSources (by @kzaher, RxSwift Community)
- IGListKit (by Instagram)
- FlexibleDiff (by @andersio, RACCommunity)
- DeepDiff (by @onmyway133)
- Differ (by @tonyarnold)
- Dwifft (by @jflinter)
- Changeset (by @osteslag)
License
DifferenceKit is released under the Apache 2.0 License.


This example shows how you can create a UML CASE tool using the UmlCanvas API, by enabling the Inspector by default.


{% block header %}{% endblock %}
{% if perms.challenges.judge_submission and assignment_count %}
{% block judgecall %}
{% trans count=assignment_count, url=url('entries_assigned') %}
Hi there: you have {{ count }} submission awaiting your judgement.
{% pluralize %}Hi there: you have {{ count }} submissions awaiting your judgement.
{% endtrans %} {% endblock %} {% endif %}-
{% for message in messages %}
- {{ message|safe }} {% endfor %}
{% block content %}{% endblock %}


|
Subor SDK API
0.9.3
|
Represents an achievement in RuyiNet More...
#include <RuyiNetAchievement.h>
Public Member Functions | |
| RuyiNetAchievement () | |
| RuyiNetAchievement (RuyiNetAchievementResponse::Data::Achievement &achievement) | |
| Construct from an achievement response. More... | |
| void | GetDataFromAchievement (RuyiNetAchievementResponse::Data::Achievement &achievement) |
| get data from an achievement response. More... | |
Public Attributes | |
| std::string | GameId |
| The ID of the game this achievement belongs to. More... | |
| std::string | AchievementId |
| The ID of the achievement. More... | |
| std::string | Title |
| The achievement's title. More... | |
| std::string | Description |
| A description of the achievement. More... | |
| bool | InvisibleUntilEarned |
| Whether or not the achievement is invisible until it's earned. More... | |
| std::string | ImageUrl |
| The URL of the image related to this achievement. More... | |
| std::string | ExtraData |
| Any extra data attached by the developer. More... | |
| int | XpAwarded |
| The XP awarded when this achievement is gained. More... | |
| int | CoinAwarded |
| The amount of coin awarded when this achievement is gained. More... | |
| RuyiNetAchievementStatus | Status |
| Whether or not the current player has earned this achievement. More... | |
Represents an achievement in RuyiNet
|
inline |
|
inline |
Construct from an achievement response.
| achievement | An achievement returned from a response. |
|
inline |
get data from an achievement response.
| achievement | An achievement returned from a response. |
| std::string Ruyi::SDK::Online::RuyiNetAchievement::AchievementId |
The ID of the achievement.
| int Ruyi::SDK::Online::RuyiNetAchievement::CoinAwarded |
The amount of coin awarded when this achievement is gained.
| std::string Ruyi::SDK::Online::RuyiNetAchievement::Description |
A description of the achievement.
| std::string Ruyi::SDK::Online::RuyiNetAchievement::ExtraData |
Any extra data attached by the developer.
| std::string Ruyi::SDK::Online::RuyiNetAchievement::GameId |
The ID of the game this achievement belongs to.
| std::string Ruyi::SDK::Online::RuyiNetAchievement::ImageUrl |
The URL of the image related to this achievement.
| bool Ruyi::SDK::Online::RuyiNetAchievement::InvisibleUntilEarned |
Whether or not the achievement is invisible until it's earned.
| RuyiNetAchievementStatus Ruyi::SDK::Online::RuyiNetAchievement::Status |
Whether or not the current player has earned this achievement.
| std::string Ruyi::SDK::Online::RuyiNetAchievement::Title |
The achievement's title.
| int Ruyi::SDK::Online::RuyiNetAchievement::XpAwarded |
The XP awarded when this achievement is gained.


module Sass::Tree
A namespace for nodes in the Sass parse tree.
The Sass parse tree has three states: dynamic, static Sass, and static CSS.
When it’s first parsed, a Sass document is in the dynamic state. It has nodes for mixin definitions and `@for` loops and so forth, in addition to nodes for CSS rules and properties. Nodes that only appear in this state are called **dynamic nodes**.
{Tree::Visitors::Perform} creates a static Sass tree, which is different. It still has nodes for CSS rules and properties but it doesn’t have any dynamic-generation-related nodes. The nodes in this state are in a similar structure to the Sass document: rules and properties are nested beneath one another, although the {Tree::RuleNode} selectors are already in their final state. Nodes that can be in this state or in the dynamic state are called **static nodes**; nodes that can only be in this state are called **solely static nodes**.
{Tree::Visitors::Cssize} is then used to create a static CSS tree. This is like a static Sass tree, but the structure exactly mirrors that of the generated CSS. Rules and properties can’t be nested beneath one another in this state.
Finally, {Tree::Visitors::ToCss} can be called on a static CSS tree to get the actual CSS code as a string.


“Differences of habit and language are nothing at all if our aims are identical and
our hearts are open.”
Dumbledore - Harry Potter andthe Goblet of Fire
So Stalked some Zen Garden Templates and I found I liked
I like the visual factor.  I likedthe font alot:
body { font-family: "ff-meta-web-pro", sans-serif; text-rendering: optimizeLegibility; font-size: 100%; line-height: 26px; background: #f6efe5; background-size: 60%; color: #0d2c40;}
I liked the panels and how it all fit together. It draws the eye and makes every part stand out. Its very elegent and I want it.
body { background: #77c4d3; } body { font-family: "tablet-gothic", verdana, arial, sans-serif; } body, input, textarea { color: #333; /* -webkit-font-smoothing: antialiased; */ } * { -moz-box-sizing: border-box; -webkit-box-sizing: border-box; box-sizing: border-box; } * { margin: 0; padding: 0; } user agent stylesheet body { display: block; margin: 8px;
Reminded me of my fav MySpace background I made in High School.
It looks fun and I love all of it!!
element.style { } body { margin: 0; padding: 0; background: transparent url(bg.gif) no-repeat top left; background-color: #ffffff; width: 1972px; height: 667px; font-family: Verdana; font-size: 11px; line-height: 110%; color: #333333; } user agent stylesheet body { display: block; margin: 8px; } background-attachment: scroll ; background-clip: border-box ; background-color: rgb(255, 255, 255) ; background-image: url(http://www.csszengarden.com/101/bg.gif) ; background-origin: padding-box ; background-position-x: 0% ; background-position-y: 0% ; background-repeat-x: ; background-repeat-y: ; background-size: auto ; color: rgb(51, 51, 51) ; display: block ; font-family: Verdana ; font-size: 11px ; height: 667px ; line-height: 12.1px ; margin-bottom: 0px ;
Can you think of an analogy to describe HTML, CSS and the DOM? How would you describe it to your non-technical friend?
You have a phone line right? Well your browser is the phone you plug in. Its how you use the internet to do things. When you open your browser you view the internet. Now in order to see things you have to create pictures and text for you to look at, these are called sites.  Think of HTML like cake battter, its the core basis of a cake. Without cake batter you can't have cake, well you can't have a site without HTML. CSS is the icing or sprinkle you put oon the cake to make it look pretty. When you go to a site and it has bold writing or pretty pictures this is CSS. DOM is what the site sits on. When mixing the batter its the bowl, when baking its the cake tin and when you take it out to be decorated its the plate or lazy susan.
This is what I do for a living. I break down IT terms or processes into easy to understandable format for people who may not be too tech savvy.
What is meant by boxifying design?
Essentially its the fact that the internet is made of boxes, even the circles are boxes. My dad was a typesetter for the local newspaper, his job was to put things in the right place on a newspaper page. Same thing, all newspaper pages are split into columns and within those columns you place your boxes or in the case of a paper, your articles and advertising. A site is the same thing, your oranising your links, pictures, text within the same basic layout. Well this is how I see it, or I've been able to explin the process to myself.
What is the box model?
It's that...Like yeah. Oh yeah I have to explain right?
Its the biger box that wraps around your HTML code like a blanket and it how you get the boxes, spaces from the edge and margins. It basically dictates were your stuff will all sit on your site. So boxifying design is what the process is called when you have boxes when you look at a site, while the box model is what does the thing to make it look boxy (box like not the Youtuber).


public abstract class HandlerResultHandlerSupport extends java.lang.Object implements Ordered
HandlerResultHandler
with support for content negotiation and access to a
ReactiveAdapter
registry.| 限定符和类型 | 字段和说明 |
|---|---|
protected Log |
logger |
HIGHEST_PRECEDENCE, LOWEST_PRECEDENCE
| 限定符 | 构造器和说明 |
|---|---|
protected |
HandlerResultHandlerSupport(RequestedContentTypeResolver contentTypeResolver,
ReactiveAdapterRegistry adapterRegistry) |
| 限定符和类型 | 方法和说明 |
|---|---|
protected ReactiveAdapter |
getAdapter(HandlerResult result)
Get a
ReactiveAdapter for the top-level return value type. |
ReactiveAdapterRegistry |
getAdapterRegistry()
Return the configured
ReactiveAdapterRegistry . |
RequestedContentTypeResolver |
getContentTypeResolver()
Return the configured
RequestedContentTypeResolver . |
int |
getOrder()
Get the order value of this object.
|
protected MediaType |
selectMediaType(ServerWebExchange exchange,
java.util.function.Supplier<java.util.List<MediaType>> producibleTypesSupplier)
Select the best media type for the current request through a content negotiation algorithm.
|
void |
setOrder(int order)
Set the order for this result handler relative to others.
|
protected final Log logger
protected HandlerResultHandlerSupport(RequestedContentTypeResolver contentTypeResolver, ReactiveAdapterRegistry adapterRegistry)
public ReactiveAdapterRegistry getAdapterRegistry()
ReactiveAdapterRegistry
.public RequestedContentTypeResolver getContentTypeResolver()
RequestedContentTypeResolver
.public void setOrder(int order)
By default set to Ordered.LOWEST_PRECEDENCE
, however see
Javadoc of sub-classes which may change this default.
order
- the orderpublic int getOrder()
Ordered
Higher values are interpreted as lower priority. As a consequence,
the object with the lowest value has the highest priority (somewhat
analogous to Servlet load-on-startup
values).
Same order values will result in arbitrary sort positions for the affected objects.
getOrder
在接口中 Ordered
Ordered.HIGHEST_PRECEDENCE
,
Ordered.LOWEST_PRECEDENCE
@Nullable protected ReactiveAdapter getAdapter(HandlerResult result)
ReactiveAdapter
for the top-level return value type.null
if none@Nullable protected MediaType selectMediaType(ServerWebExchange exchange, java.util.function.Supplier<java.util.List<MediaType>> producibleTypesSupplier)
exchange
- the current requestproducibleTypesSupplier
- the media types that can be produced for the current requestnull
if none


Use mimikatz to patch LSASS in memory with new SSP with no reboot required (rebooting clears the memssp Mimikatz injects).
Either of these scenarios enable adding a new SSP to a Windows system. The SSP included with mimikatz provides automatic logging of locally authenticated credentials. This includes the computer account password, running service credentials, and any accounts that logon.
This data is logged by default in the same location as the dll file to a log file, though it’s possible to log this data elsewhere on the system. The alternate log location could be in SYSVOL if the Windows system is a Domain Controller which provides access to Authenticated Users.
This is what a typical Group Policy template file might look like.
This is what a fake Group Policy template file might look like when as the Mimikatz SSP log file location


code Regulator
timer
flash_on
tune
settings_input_component
timer lock
Off
On
lock
timer
Added code
directory
file name
interval
add
Off
On
[[ tasks.key ]] /
[[ item.f ]].py
[[ item.s ]] sec
delete
[[schedule]]
flash
tune
settings


Remains found in Nebraska and Missouri identified as missing Wisconsin brothers
by Louis CasianoAuthorities confirmed Friday that human remains found in Missouri and Nebraska are those of two Wisconsin brothers who were last seen visiting a Missouri farm in July.
The remains of Nicholas Diemel, 35, were found in Caldwell County, Mo, and those of Justin Diemel, 24, were recovered in Lincoln, Neb., the Caldwell County Sheriff's Office said. The identifications were made through dental records.
Garland "Joey" Nelson is charged with first-degree murder in the death of the brothers. He owns the Caldwell County farm where the remains of Nicholas Diemel were found earlier this year.
ESCAPED MISSOURI INMATE CAUGHT LIVING IN MAKESHIFT HUT 'OFF THE GRID' IN DELAWARE, INVESTIGATORS SAY
Nelson also faces two counts of abandonment of a corpse, two counts of tampering with physical evidence in a felony prosecution, two counts of armed criminal action, one count of first-degree tampering with a motor vehicle and one count of unlawful possession of a firearm.
A rancher in Nebraska reported last week that he'd found human remains mixed with dirt in a plastic tub inside a trailer he recently purchased in Missouri, The Kansas City Star reported.
The brothers, from Shawano County, Wisc., disappeared during a trip related to their cattle business where they were supposed to meet Nelson, who allegedly owed them $250,000.
Investigators found the brothers' rental truck on July 22 in Holt, Mo., a town 35 miles west of Braymer, where Nelson's farm is located. It was left running with the lights on.
Blood found on Nelson's clothing was confirmed to be from Nicholas Diemel, WDAF-TV reported.
 He admitted to taking their cell phones and throwing them away, according to the news station.
Nelson allegedly placed each man in a 55-gallon metal barrel in a barn on his property, court documents said. He then allegedly moved the bodies and set them on fire and hid the remains.
The investigation into the brothers' deaths is ongoing, the Caldwell County Sheriff’s Office said.


--- title: "Cohort analysis with Pandas and Seaborn" subtitle: A step-by-step tutorial author: João Pedro S. Macalós slug: cohort-pandas categories: [analytics] tags: [analytics] summary: '' authors: [] header: img: "cohort.png" lastmod: '2021-06-12' featured: true image: placement: 1 caption: "Photo by [Geo](https://github.com/gcushen/)" focal_point: "Center" preview_only: false alt_text: An optional description of the image for screen readers. ---
This article was originally shared on Medium: https://joaomacalos.medium.com/cohort-analysis-with-pandas-and-seaborn-dd90c8ba5cdc
The objective of this notebook is to show, step by step, how to implement a cohort analysis with Pandas and Seaborn.
Coming from an R background, I like working with pipes and to chain commands to modify a DataFrame. The idea of writing this article came when I was trying to implement this analysis with Python and struggled with the existing tutorials. Therefore, the main objective of this post is to present the code — if you are curious about cohort analysis, there are plenty of articles available online.
Cohort analysis is a type of analysis that follows a group of customers over time. For example, instead of analyzing our customers individually, we group them by date of sign-up in our app. In this way, we can analyze whether a marketing campaing implemented in a given month was effective or not.
Cohort analyses matter because churn is one of the main problems faced by companies nowadays, and every information that can lead to less churning is a valuable business information.
To show how to implement a cohort analysis with Pandas
and Seaborn
, I will work with the Olist dataset. It is available on Kaggle and provide a good example of an e-commerce dataset. The schema of the data is available in the link above.
The Olist plataform connects small business owners (the sellers) with customers from all over Brazil. Understanding whether sellers come back to the platform after their first sale is a crucial business question for Olist.
Therefore, I will make the cohorts based on the month of the first sale of each seller. With this cohorts, I will track the proportion of sellers from each cohort that came back to the platform in the subsequent months.
Hence, we must connect the olist_sellers_dataset
where the id
of each seller is located with the olist_orders
dataset where we can find the date of each sale (order_purchase_timestamp
) in the platform. These two tables are connected through the olist_order_items_dataset
.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
df_orders = pd.read_csv('../../../Datasets/olist_orders_dataset.csv')
df_order_items = pd.read_csv('../../../Datasets/olist_order_items_dataset.csv')
df_sellers = pd.read_csv('../../../Datasets/olist_sellers_dataset.csv')
Join the datasets, convert date
to correct type, remove observations outside the analysis boundaries, and select relevant columns:
df = pd.merge(df_order_items, df_orders, on='order_id')
df = pd.merge(df, df_sellers, on='seller_id')
df = (df
.assign(date = lambda x: pd.to_datetime(x.order_purchase_timestamp))
.query('date >= "2017-01-01" & date < "2018-09-01"')
.loc[:, ['seller_id', 'date']]
)
df.head(3)
## seller_id date
## 0 48436dade18ac8b2bce089ec2a041202 2017-09-13 08:59:02
## 1 48436dade18ac8b2bce089ec2a041202 2017-07-23 16:13:37
## 2 48436dade18ac8b2bce089ec2a041202 2017-08-10 12:17:35
To find the cohorts, we must find the first appearance (order_purchase_timestamp
) of each individual seller (seller_id
). To do that, I’ll order the dataset by date of sale and drop the duplicates in the seller_id
column.
seller_cohort = (df[['seller_id', 'date']]
.assign(cohort = lambda x: x.date.dt.to_period('M'))
.sort_values('date')
.drop_duplicates('seller_id')
.reset_index()
.loc[:, ['seller_id', 'cohort']]
)
seller_cohort.head(3)
## seller_id cohort
## 0 48efc9d94a9834137efd9ea76b065a38 2017-01
## 1 8f119a0aee85c0c8fc534629734e94fd 2017-01
## 2 b14db04aa7881970e83ffa9426897925 2017-01
In the next step, we need to:
seller_cohort
DataFrame with df on the seller_id
column;delta
).from operator import attrgetter
cohort_df = (
pd.merge(df, seller_cohort, on='seller_id')
.assign(date_of_sale = lambda x: x.date.dt.to_period('M'),
delta = lambda x: (x.date_of_sale - x.cohort).apply(attrgetter('n')))
.loc[:, ['seller_id', 'date', 'cohort', 'date_of_sale', 'delta']]
)
cohort_df.head(3)
## seller_id date ... date_of_sale delta
## 0 48436dade18ac8b2bce089ec2a041202 2017-09-13 08:59:02 ... 2017-09 6
## 1 48436dade18ac8b2bce089ec2a041202 2017-07-23 16:13:37 ... 2017-07 4
## 2 48436dade18ac8b2bce089ec2a041202 2017-08-10 12:17:35 ... 2017-08 5
##
## [3 rows x 5 columns]
Before proceeding with the analysis, it’s important to visualize the size of each cohort we just created to see if there are no clear problems in the data:
size_cohorts = (cohort_df
.groupby(['cohort', 'delta'])[['seller_id']]
.nunique()
.query('delta == 0')
.reset_index()
)
# Plot:
sns.set(style="whitegrid", color_codes=True)
pal = sns.color_palette("Greens_d", len(size_cohorts))
rank = size_cohorts.seller_id.argsort().argsort()
# plt.figure(figsize=(8, 6))
ax = sns.barplot(
data=size_cohorts,
y='seller_id',
x='cohort',
palette=np.array(pal)[rank]
)
ax.set(xlabel='Cohort', ylabel='# of sellers')
## [Text(0.5, 0, 'Cohort'), Text(0, 0.5, '# of sellers')]
plt.xticks(rotation=45);
plt.tight_layout();
plt.show()
As we can see, there were some variability in the number of new sellers joining Olist in the period under analysis, but nothing really outstanding that invalidate our exercise in this post.
The next step consist in:
cohort_df = (cohort_df
.groupby(['cohort', 'delta'])[['seller_id']]
.nunique()
.assign(total = lambda x: x.groupby('cohort')[['seller_id']]
.transform(lambda x: x[0]),
proportion = lambda x: 100 * x.seller_id / x.total)
.reset_index()
.loc[:, ['cohort', 'delta', 'proportion']]
)
cohort_df.head(3)
## cohort delta proportion
## 0 2017-01 0 100.000000
## 1 2017-01 1 75.770925
## 2 2017-01 2 73.568282
Now we have all the information we need to calculate make the cohort analysis, but it is in the long format. The following step consists in applying a pivot()
method to reshape it:
cohort_pivot = (
cohort_df[['cohort', 'delta', 'proportion']]
.pivot(columns='delta', index='cohort')['proportion']
)
cohort_pivot
## delta 0 1 2 ... 17 18 19
## cohort ...
## 2017-01 100.0 75.770925 73.568282 ... 38.766520 35.682819 39.207048
## 2017-02 100.0 61.176471 54.509804 ... 28.627451 25.882353 NaN
## 2017-03 100.0 57.954545 54.545455 ... 27.840909 NaN NaN
## 2017-04 100.0 55.371901 47.107438 ... NaN NaN NaN
## 2017-05 100.0 50.000000 50.000000 ... NaN NaN NaN
## 2017-06 100.0 42.105263 40.789474 ... NaN NaN NaN
## 2017-07 100.0 67.521368 60.683761 ... NaN NaN NaN
## 2017-08 100.0 54.263566 46.511628 ... NaN NaN NaN
## 2017-09 100.0 53.125000 54.687500 ... NaN NaN NaN
## 2017-10 100.0 66.216216 55.405405 ... NaN NaN NaN
## 2017-11 100.0 51.832461 54.973822 ... NaN NaN NaN
## 2017-12 100.0 57.777778 52.222222 ... NaN NaN NaN
## 2018-01 100.0 57.446809 50.354610 ... NaN NaN NaN
## 2018-02 100.0 52.500000 52.500000 ... NaN NaN NaN
## 2018-03 100.0 60.176991 53.097345 ... NaN NaN NaN
## 2018-04 100.0 59.900990 51.980198 ... NaN NaN NaN
## 2018-05 100.0 56.395349 56.976744 ... NaN NaN NaN
## 2018-06 100.0 56.020942 59.685864 ... NaN NaN NaN
## 2018-07 100.0 56.315789 NaN ... NaN NaN NaN
## 2018-08 100.0 NaN NaN ... NaN NaN NaN
##
## [20 rows x 20 columns]
With the pivoted column, we can simply use the sns.heatmap()
function to visualize the cohorts:
sns.heatmap(
cohort_pivot,
cmap='crest',
annot=True,
annot_kws={"fontsize":7},
fmt='.0f'
).set_title("Olist Cohort Analysis")
plt.show()
It’s interesting to note that the first cohort was relatively more loyal to Olist than the cohorts that followed, with a participation rate 6 months after their first sale in the platform that was similar to the participation rate of the other cohorts. It’s also noteworthy that the cohort “2017–07” was also loyal to the brand. Now it is up to the marketing team of Olist to investigate further why some of the cohorts presented churn rates much lower than the others and act upon this information.
The notebook with the full code of this analysis can be found here: https://github.com/joaomacalos/Medium/blob/main/cohort-pandas-seaborn.ipynb


List of schools
Name
# of programs
# of departments
{% for name, num_prog, num_dep in query('/school{name,count(program),count(department)}') %}
{{ name|e }}
{{ num_prog }}
{{ num_dep }}
{% endfor %}


Department of Advanced Science and Technology
University of Computer Studies
B.C.Sc/B.C.Tech. ( Second Year)
Object Oriented Analysis and Design (CS-206)
Final Examination
Sepember, 2015
Zone III
Answer ALL Questions
Time allowed 3hours.
-
- Define stakeholders.(2 marks)
- Define aggregation. Give an example.(3 marks)
- What is an actor? Consider a University Information System and identify at least two different actors that interact with thsi system.(4 marks)
- List some of the most widely used requirements validation methods.(2 marks)
- For a University Information System, we decided to record the information of students. The following figure shows the class Student in that system. Which attribute or attributes should be rejected and why?(2 marks)
| Student |
+name +rollno +address +written test mark +lab testt mark +total mark |
|
-
- Categorize the following relationships into ingeritance, aggregation or associatio.
- A file is an ordinary file or a directory file
- Files contain records
- A polygon is composed of an ordered set of points.
- A route connects two cities.
- Modems and keyboards are input/output devices.(5 marks)
- What does the term maintenance mean? Decide whether the following conditions would make software easy or difficult to maintain.
- If each modeule is self contained and independent
- If the structure of the software is based on its functionality
- If each module is autonomous
- If a module is not cohesive
- If there is high visibility of data(4 marks)
- The mother wants her son to pull up his socks. To be truly object-oriented, which of the following should be done? Explain your choice.
- She must tell her son to pull up his socks
- She must pull her son's socks herself
- The son should ask mother to pull up his socks
- All of the above are suitable(2 marks)
- Which of the following expressions should not be used in a requirements sepcification? Explain your reason.
- The system must be easy to use for the intended users.
- The systme shall respond to queries in not more than 5 seconds.
- The searching time of the system should be as quick as possible.(2 marks)
-
- Using class diagram, express that some persons keep animals as pets.(2 marks)
- One way of avoiding messy class diagram is to choose names and labels that are short. If more explanation is needed, this can be provided in what?(1 marks)
- Consider an information modeling system for a school. School has one or more Departments. Department offers one or more subjects. A particulat subject will be offered by only one department. Department has instructors and instructors can work for one or more departments. Instructors can be either permanent instructor or visiting instructor. Instructors can teach up to 3 subjects. The same subject can be taught by different instructors.
According to the problem description, redraw the following class diagrma so that it is correct and complete.(5 marks)
<---Enter Photo----->
- Prepare a class diagram for a graphical document editor that supports grouping. Assume that a document consists of several sheets. Each sheet contains drawing objects, which can be text, geometrical objects or groups. A group is simply a set of drawing objects. A grop must contain at least two drawing objects. A drawing objects can be a member of at most one group. Geometrical objects, include, circles, ellipses, rectangels, lines, and squares.(10 marks)
- Fill in the blanks.
- Whole_part Relationship is called _______ relationship.(7 marks)
- CRC refers to ________.
- ________ means that the same operation may behave differentyly on different classes
- A sceenario represents one instance of a__________.
- The ______ stage of system devvelopment should not consider the implementation technology.
- Good _____ skills are essential for reqquirement elicitation.
- UML stands for ______.
- The following table show part of the list of sales of an art galery at a particulat time. The list consists of a month, a year and many entries, each of which records customer's name, occupation and prodeuct details as shown in the table. But there are also customers with unknown occupation. Some customers bought several products. Write a data dictionary definition for the list.(6 marks)
| September 2014 |
| Customer Name |
Occupation |
Product No |
Artist |
Price ($) |
| Harry Preston |
writer |
P101 |
Crystal Blue |
1000 |
| Chirs Doolan |
|
P001 |
June Smith |
550 |
| Chris Doolan |
|
P100 |
Jane Adam |
800 |
| Sam Parker |
lawyer |
P10 |
Alexander |
900 |
| Mira Pael |
designer |
P23 |
Crystal Blue |
1000 |


---
layout: default
title: "Talks"
description: "Presentations by members of the lab"
group: navigation
navorder: 4
---
{% include JB/setup %}
Talks
{% assign years = "" | split: "" %}
{% for product in site.categories.talks %}
{% assign years = years | push: product.year %}
{% endfor %}
{% assign years = years | uniq %}
{% for year in years %}
{{ year }}
{% assign year_products = "" | split: "" %}
{% for product in site.categories.talks %}
{% if product.year == year %}
{% assign year_products = year_products | push: product %}
{% endif %}
{% endfor %}


AP Physics
Mr. Boynton • 3rd period
Today's Lesson
Newton's Third Law of Motion
This is the title
With supporting text below as a natural lead-in to additional content.
Click This ButtonThis is the title
Second tab: With supporting text below as a natural lead-in to additional content.
Click This ButtonThis is the title
Third tab: With supporting text below as a natural lead-in to additional content.
Click This Button


modern human anatomy is far beyond the knowledge of body strutures,frame-work, now it has evolved into something more exicting many of which .for student who find themselves studying this course and stil don't know what to do with it...yeah, i know you probabaly wanted MBBs and you were offered anatomy,now let me assure that there is more to this course than you may know.keep your cerebral hot with our basic and advance anatomy quizzes...
the knowledge of human physiology is more important than ever, although only the basics are treated in unergraduate, student of this great course should always keep in mind that human physiology is very important and as such should be taken with atmost seriousness.here, we would bring to your screen all that it requires to be a great physiologist.Lorem ipsum dolor sit amet consectetur adipisicing elit. Ullam.
medicine and surgery as over the century become an important field, no wonder many youngster are wishing to become the Dr. well, there more to just getting the certificate, many student are offered admission to studying this sacred course but very few makw to the end. so, what must i do to become successful as a medical student. jon us here as we discuss the way out..
the impact of rediography in the modern day medicine cannot over-emphasized ,radiologic technologist have over the years caved out niche for themselves in the industry. a rediographer uses thier expertise and knowledge of patient care,physics,human anatomy,physiology to assess patients, develop optinum radiological techniques.so, Join us here as we discuss RADIOGRAPHY in full length


import PIL
libraries: - name: PIL version: "1.1.7"
unix-like
import sys from pprint import pprint as pp pp(sys.path)
command in your terminal to see what folders are in your PYTHONPATH.
python -c "import sys, pprint; pprint.pprint(sys.path)"
windows
echo %PATH%
add / set / append module or python to sys env or PYTHONPATH environment variables windows
set PYTHONPATH=%PYTHONPATH%;C:\Python27
OR
set path=C:\Python27
unix-like
export PYTHONPATH=$PYTHONPATH:/host/Python27/Lib/site-packages
import sys from pprint import pprint as pp pp(sys.path)
Powered by: Simon Bhattacharya.


Hola! Welcome
"I did survive" MAYANK SHEKHAR ROY
STUDENT ID:5116
Display Records
enter lower magnitude here:
enter higher magnitude here:


--- layout: post title: 'Motorola Q: Snatching Defeat from the Jaws of Victory' date: 2007-04-17 00:00:00 categories: interfaces-&-interaction mobile ---
Motorola Q: Snatching Defeat from the Jaws of Victory: "Microsoft wants you to open that address book “card” first and then open the menu. "
Interesting. Some of the clunkiness I see in interface design seems to come from where creators:
Desktops, with their endless drive to take paper concepts and digitise them, seem to be particularly bad for this.


Most Java developers are used to creating Java classes that conform to the
JavaBeans naming patterns for property getters and setters. It is natural to
then access these methods directly, using calls to the corresponding
getXxx
and setXxx
methods. However, there are some
occasions where dynamic access to Java object properties (without compiled-in
knowledge of the property getter and setter methods to be called) is needed.
Example use cases include:
server.xml
file).The Java language provides Reflection and Introspection
APIs (see the java.lang.reflect
and java.beans
packages in the JDK Javadocs). However, these APIs can be quite complex to
understand and utilize. The proposed BeanUtils component provides
easy-to-use wrappers around these capabilities.
This proposal is to create a package of Java utility methods for accessing and modifying the properties of arbitrary JavaBeans. No dependencies outside of the JDK are required, so the use of this package is very lightweight.
In addition to wrapping the reflection and introspection APIs of the standard JDK, BeanUtils components shall support a syntax for directly accessing nested and indexed properties, in a manner that will be familar to users of scripting languages like JavaScript. For example, the following property accessor expressions are supported:
getCustomer()
.getCustomer().getAddress()
.getCustomer().getAddress(2).getStreet()
(access to indexed
properties also works if the underlying property is an array rather than
providing indexed getter and setter methods).BeanUtils relies only on standard JDK 1.2 (or later) APIs for production deployment. It utilizes the JUnit unit testing framework for developing and executing unit tests, but this is of interest only to developers of the component. BeanUtils will also be a dependency for several future proposed components for the Jakarta Commons subproject.
No external configuration files are utilized.
The three original Java classes (BeanUtils
,
ConvertUtils
, and PropertyUtils
) are an integral
part of the Struts Framework.
However, they have very few dependencies on other aspects of Struts, and
those dependencies have been removed in the proposed code base.
Once accepted and released as a Jakarta Commons component, Struts will
be modified to use the Commons version of these classes, and its internal
versions will be deprecated.
The proposed package name for the new component is
org.apache.commons.beanutils
.
beanutils
in the
jakarta-commons
CVS repository. All initial committers
are already committers on jakarta-commons
, so no
additional user setups are required.The initial committers on the BeanUtils component shall be Craig McClanahan and Geir Magnusson Jr.


Dependencies
CLI and stack
The web interface Console is not yet available. So in this tutorial, we use the command-line interface (CLI) to manage the setup.
You can use the CLI on your local machine or on the server.
Note: if you need help with any CLI command, use the
--help
flag to get a list of subcommands, flags and their description and aliases.
Package managers (recommended)
macOS
$ brew install TheThingsNetwork/lorawan-stack/ttn-lw-stack
Linux
$ sudo snap install ttn-lw-stack
$ sudo snap alias ttn-lw-stack.ttn-lw-cli ttn-lw-cli
Binaries
If your operating system or package manager is not mentioned, please download binaries for your operating system and processor architecture.
Certificates
By default, the stack requires a cert.pem
and key.pem
, in order to to serve content over TLS.
Typically you’ll get these from a trusted Certificate Authority. Use the “full chain” for cert.pem
and the “private key” for key.pem
. The stack also has support for automated certificate management (ACME). This allows you to easily get trusted TLS certificates for your server from Let’s Encrypt. If you want this, you’ll need to create an acme
directory that the stack can write in:
$ mkdir ./acme
$ chown 886:886 ./acme
If you don’t do this, you’ll get an error saying something like
open /var/lib/acme/acme_account+key<...>: permission denied
.
For local (development) deployments, you can generate self-signed certificates. If you have your Go environment set up, you can run the following command to generate a key and certificate for localhost
:
$ go run $(go env GOROOT)/src/crypto/tls/generate_cert.go -ca -host localhost
In order for the user in our Docker container to read these files, you have to change the ownership of the certificate and key:
$ chown 886:886 ./cert.pem ./key.pem
If you don’t do this, you’ll get an error saying something like
/run/secrets/key.pem: permission denied
.
Keep in mind that self-signed certificates are not trusted by browsers and operating systems, resulting in warnings and errors such as certificate signed by unknown authority
or ERR_CERT_AUTHORITY_INVALID
. In most browsers you can add an exception for your self-signed certificate. You can configure the CLI to trust the certificate as well.


To deliver passport services to citizens in a timely, transparent, more accessible, reliable manner and in a comfortable environment through streamlined processes and committed, trained and motivated workforce"
Passport Seva enables simple, efficient and transparent processes for delivery of passport and related services. Apart from creating a countrywide networked environment for Government staff, it integrates with the State Police for physical verification of applicant's credentials and with India Post for delivery of passports.
We have provided detailed documentation as well as specific code examples to help new users get started. We are also always open to feedback and can answer any questions a user may have about Materialize.
Contact for Visa Services
Visa for foreign diplomats posted in India.
E-mail<EMAIL_ADDRESS>Contact for Consular Services
Shri P. Kumaran
Joint Secretary (CPV)
CPV Division,
Ministry of External Affairs,
Room No. 20, Patiala House Annex,
Tilak Marg,
New Delhi - 110001
Fax No. : +91-11-23782821
E-mail : jscpv@mea.gov.in


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Garth Crooks says Ole Gunnar Solskjaer "bordering on carelessness" over Marcus Rashford
Manchester United went down to a 1-0 defeat at Bournemouth on Saturday
by Mark Jones, https://www.mirror.co.uk/authors/mark-jones/BBC Sport pundit Garth Crooks says Ole Gunnar Solskjaer is running the risk of heaping too much pressure onto the young shoulders of Marcus Rashford.
The forward and his Manchester United teammates drew a blank at Bournemouth on Saturday, going down to a fourth Premier League defeat of the season from their 11 games thus far.
That record leaves them down in 10th in the table, having scored just 13 goals in the league so far this season.
Rashford is the club's top scorer with seven strikes in all competitions, but having just turned 22 last week, Crooks says that too much is being expected of the England forward.
"It would appear, however, that there seems an over-reliance developing by manager Ole Gunnar Solskjaer on Marcus Rashford," wrote Crooks in his BBC Sport Team of the Week column , in which he picked Cherries defender Steve Cook and goalscorer Josh King after they got the better of Solskjaer's men.
"Solskjaer needs to be reminded that Rashford is only 22 and Manchester United one of the biggest clubs in the world.
"To ask such a young man to carry so much responsibility, often on his own, is bordering on carelessness."
Rashford has started all 11 of United's Premier League games so far this season, while also featuring in the club's three Europa League fixtures and the Carabao Cup win at Chelsea , in which he scored twice.
The Carabao Cup clash with League One Rochdale, which United won on penalties, is the only game this season which the forward hasn't been involved in.
Rashford has also featured four times for England this season, playing in the Euro 2020 qualifiers at home and away to Bulgaria as well as the games against Kosovo and Czech Republic.


Payment PG/BG
Payment
Receiver
To account
Total amount
Person account 123456789
2019-03-18
TELIA SWEDEN AB
Bank giro 3124-7560
1,00
OCR message
201982086427
Payment frequency
Pay once
Back
Sign


WITNESS LIST Public Health Committee March 26, 1997-2:00P HB 196 For: McGiffert, Lisa (Consumers Union) On: Hopping, Ron (Self) Neimann, Fred (TX Optometric Assn.) HB 1284 For: Dasher, Tony (Self) Houston, O.C. (TX Pharmacy Assn.) Van de Putte, Leticia (Self, Representative) On: Morehead, Dave (TMA, TAFP, TPS) HB 2091 For: DeLoach, Joe (Self) McCall, John A. (Self) Piccolo, Marcus G. (Self) Against: Brenner, R. Larry (Self) Cowan, Gary M. (Self, TX Ophth. Assn.) Harrington, John N. (Self) Mazow, Malcolm L (Self) Pierce, Randy (Self) Shulman, David (Self) On: Niemann, Fred (TX Optometric Assn.) HB 2311 For: Erickson, Erica (Self) Van de Putte, Leticia (Self, Representative) HB 3315 For: Solis, Jim (Self, Representative) On: Gilbert, Don (TXMHMR)


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The benefits to health and wellbeing through the creation of art are well documented. On this course, you will learn about your own ability to balance yourself by immersing yourself in art therapy and getting hands on in the studios at Central Saint Martins. This course has been developed for anyone interested in making art and understanding how and why art making can have a positive impact on health and wellbeing.
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It’s never too late to change career! At Chelsea College of Art you can gain a thorough understanding of Interior Design principles, develop a portfolio and a strong skill set on the following Interior Design Modules:
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Essential Guide to the Fashion Business
Maybe one of our fashion entrepreneur courses at London College of Fashion is what you need to finally get your fashion enterprise off the ground? MBE Alison Lowe will introduce you to the various different areas of the fashion industry business, giving you an insight into how they all work, and an idea of which area you might like to work in.
At UAL Short Courses we have options that work around your career with courses beginning throughout the year, running during daytimes, evenings, Saturdays, weekends and online. Courses are available in all of our subject areas, including art, design, fashion, communication and performance.
View all upcoming short courses.


traditional houses in mexico
Virtual Mexico, culture, health care, housing, crime, map, hotels ...
Information about Mexico, hotels, maps, culture, crime,safety, hotels, health care, prices, transportation, economy, and links to other sites.
http://www.virtualmex.com/general.htm
Direct From Mexico Home Furnishings
Since 1991, we have provided our customers with a wide variety of unique southwestern and traditional Mexican home furnishings and gifts. Our rustic furniture .
http://www.directfrommexico.com/
The Houses of Luis Barragán - Access Mexico Connect
Jun 1, 1997 . Architecture of Mexico: the houses of Luis Barragan . suddenly adopted the vibrant hues of Mexican traditional clothing and festivals: yellows, .
http://www.mexconnect.com/articles/1938-architecture-of-mexico-the-houses-of-luis-barragan
Things You'll Need
- Certified copies of public records evidence in your case
Instructions
-
-
1
Habitat for Humanity Mexico | Habitat for Humanity Int'l
Habitat for Humanity Mexico supports several initiatives, in addition to traditional home construction. Leveraging government subsidies: In this project, Habitat .
http://www.habitat.org/where-we-build/mexicoHomes For Sale in Mexico - Available Properties - Viviun the Leader ...
Listings 1 - 20 of 88 . Mexico Homes For Sale, Affortable and Luxury Homes, For .
http://www.viviun.com/Real_Estate/Mexico/Single_Family_Homes/ -
2
Mexico - Countries and Their Cultures
A traditional Yucatecan Maya house. Cozumel, Mexico. manufacturing industry. The most important sectors were, in diminishing order, machinery, automobiles, .
http://www.everyculture.com/Ma-Ni/Mexico.htmlTraditional Styles of Mexican Homes | eHow.com
Traditional Styles of Mexican Homes. From old country haciendas and colonial homes to rustic adobe ranches and tiny casitas, traditional Mexican homes are .
http://www.ehow.com/list_7417515_traditional-styles-mexican-homes.html -
-
3
CoCoon - Contextual Construction TRADITIONAL HOUSE SAN ...
CONTINENT: Central America> LAND: Mexico > REGION: Oaxaca > SUBREGION: La Selva Mixe > OBJECT: Traditional House in San Lucas Camotlán .
http://www.a.tu-berlin.de/cocoon/php/database%20contents/Mexico_Oaxaca_SelvaMixe_Objecttrad_.pdf -
4
Houses Mexico Pictures - stock photos and fine art prints
45 pictures of Houses Mexico by professional photographer QT Luong, available as fine art prints or for stock photography licensing (Page 1 of 2).
http://www.terragalleria.com/photos/?keyword=houses-mexicoArch In Merida City In Mexico Traditional Houses Stock Photo ...
Download royalty free arch in merida city in Mexico traditional houses stock photo from Shutterstock's library of millions of high resolution stock photos, vectors, .
http://www.shutterstock.com/pic-49643872/stock-photo-arch-in-merida-city-in-mexico-traditional-houses.html
-
1
References
Resources
- Photo Credit Justice image by MVit from chi meditation correspondence course


Scummo rules out stimulus
by Houses and HolesVia the AFR:
Scott Morrison has all but slammed the door on fast-tracked tax cuts or other ”panicked reactions” in next month’s mid-year budget update, saying the government has already injected $9.5 billion of near-term stimulus into the economy since the May election.
Under external pressure to do more to stimulate the economy than he has already indicated, the Prime Minister will on Wednesday reveal that $3.8 billion of infrastructure spending has been fast-tracked over the next four years.
There are 849 words left in this subscriber-only article.


Save!
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Help us build a community to help you navigate this exciting chapter of your life.
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Optimizing Python Programs with
Eric Chlebek
About Me
- Scientific software developer for 6 years
- Python developer for 5 years
- HPC, CLI apps, web apps, data analysis
- Python, C/C++, Java, Go, SQL
Why Python for Scientific Computing?
- Huge array of libraries and apps for scientists
- biopython
- pymol
- numpy
- scikit-learn
- matplotlib
- Easy to learn
- Good integration with C
One big caveat...
- Python is slow
- 10-100 times slower than C
- Also slower than Ruby, JS, Clojure...
Mitigating Factors
- most of CPython standard library written in C
- numpy provides typed arrays and vectorization
- Plenty of options for writing C or C++ modules
- <Python.h>
- boost::python
- pybindgen
- Cython
So what's the problem? Slow stuff:
- iteration overhead
- no control over alloc/dealloc
- dynamic types == runtime overhead
C iteration
void iter() {
int data[1000];
for (int i = 0; i < 1000; ++i) {
data[i] = i * i;
}
}
Cost of iteration: increment i, test i, jump
Python Iteration
def iterate():
data = []
for i in xrange(1000):
data.append(i * i)
Cost of iteration:
- Check if the object under iteration implements the iterator protocol
- Call next() on the iterator to get the next value
- Handle StopIteration when the iterator is exhausted
Allocation
- Python objects are fat
- Even a simple int uses 24 bytes
- Use numpy arrays to cut down memory use
Dynamic Types
- Substantial runtime overhead
- Branching
- Poor data locality
JIT can help here
- Goal: implement a shortest-path solver for the 15 puzzle
- Implementation: A* search using manhattan distance heuristic
- With this algorithm, queue operations should dominate the profile
Profile Analysis
- Queue operations barely register
- Bulk of time is spent in just one function!
- Performance can be improved if manhattan_distance can be optimized
How do we deal with perf problems?
1. Measure, Measure, Measure
- Profile
- Isolate
- Optimize
- Benchmark
- Repeat
How do we deal with perf problems?
2. Target Hotspots
- Identify expensive functions that are compute bound
- Look for trivial errors that cost time in hotspots before further work
- .keys() being called?
- building a list backwards?
- lame algorithm?
How do we deal with perf problems?
3. Use Numpy
- Typed, continguous arrays and scalars in Python
- Lots of common algorithms available
- Can avoid iteration via array broadcasting
- Often powerful enough to not require further optimization
How do we deal with perf problems?
4. Use Cython
- A superset of Python that compiles to C
- With effort, can achieve C-like speed
- Can interoperate with C libraries
Getting Started With Cython
Tell setup.py to build Cython modules
from setuptools import setup
from setuptools.extension import Extension
import numpy as np
from Cython.Distutils import build_ext
setup(
name="15puzz",
packages=["fifteen"],
# Use Cython.Distutils's build_ext command
cmdclass={"build_ext": build_ext},
# Specify extension modules here
ext_modules=[
Extension("_c15", ["fifteen/_c15.pyx"], [np.get_include()])
]
)
So what does that result in?
- When the package is built, _c15.pyx is compiled into a shared library
- The shared library is an importable Python module
- Python can use any Python definitions in _c15, but can't use any cdef definitions.
Move hotspot functions into a .pyx module
def manhattan_distance(board):
result = 0
for i in range(4):
for j in range(4):
for x in range(4):
for y in range(4):
if board[i, j] == SOLVED[x, y]:
result += abs(i - x) + abs(j - y)
break
else:
continue
break
return result
Use cdef to add type definitions
cimport numpy as np
cdef int manhattan_distance(np.ndarray[np.int8_t, ndim=2] board,
np.ndarray[np.int8_t, ndim=2] solved_board):
"""Manhattan distance finds how many squares out of place each
value in `board` is. This is also known as "taxicab distance".
"""
cdef int result = 0
cdef int i, j
cdef int x, y
# For each tile in the game
for i in range(4):
for j in range(4):
# For each tile in the solved game
for x in range(4):
for y in range(4):
if board[i, j] == solved_board[x, y]:
result += abs(i - x) + abs(j - y)
break
else:
continue
break
return result
Big Improvement
- Much less yellow! Cython has reduced most code to simple C
- Now that the function is declared as cdef, we can't use it in Python
- We'll move some of the other functions over as well, especially moves
- The search function will be moved into the Cython module as well, but not declared as cdef
Range
- range in Python creates a list
- range in Cython is compiled to a for loop
- Don't use xrange in Cython
Numpy Arrays & Cython
- Cython can pass numpy arrays between C functions with minimal overhead.
- Use numpy.ndarray datatype with type parameters to remove guesswork at runtime.
- Accessing array elements is cheap, but using array methods can be costly.
cdef foo(np.ndarray[np.int, ndim=2] a): pass
Above, a Cython function which takes a numpy int array as a parameter.
Profiling Cython
When profiling of Cython functions is desired, add the following to the top of the Cython module:
# cython: profile=True
Then, profile as usual.
Profiling comes at a cost, so disable this once you're done profiling.
Profile Analysis
- Much better queue utilization
- manhattan_distance is consuming much less time
- Can only get the overall algorithm 2x faster without replacing queue
Can we do better?
- Yes, with more effort
- Could write whole thing in Cython, including queue
- Or, could write whole thing in C, and bind via Cython
- Cost/benefit analysis required
Addendum: Avoiding the Global Interpreter Lock
cdef int foo(int bar) nogil:
return bar + 1
If you're doing multithreaded programming, you might see a performance boost by using nogil. You can annotate your cdef functions with nogil if:
- The function accesses no Python objects
- The function does not call anything that accesses Python objects


Code Connect 2021
Agenda
AMERICAS | October 5 – 6, 2021
ASIA PACIFIC | October 6 – 7, 2021
EMEA | October 6 – 7, 2021
AMERICAS | October 5 – 6, 2021
ASIA PACIFIC | October 6 – 7, 2021
EMEA | October 6 – 7, 2021
Check out our frequently asked question to stay in the loop with Code Connect at VMworld 2021!


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To read a sample of one of Dr. Naccarato's Weekly Coaching Email Messages click here.


|
BTK
0.3dev.0
Open-source library to visualize/process biomechanical data
|
Object to represent a coordinate system (X, Y, Z axes and an origin). More...
#include <btkGeometry.h>
Public Types | |
| typedef Eigen::Matrix< double, 3, 3 > | Axes |
| typedef Eigen::Matrix< double, 4, 4 > | Matrix |
| typedef Eigen::Matrix< double, 3, 1 > | Origin |
Public Member Functions | |
| Frame () | |
| Frame (const Frame::Origin &o, const Frame::Axis &x, const Frame::Axis &y, const Frame::Axis &z) | |
| Frame (const Frame::Origin &o, const Frame::Axes &axes) | |
| Frame (const Matrix &f) | |
| const Axis | GetAxisX () const |
| const Axis | GetAxisY () const |
| const Axis | GetAxisZ () const |
| Matrix & | GetMatrix () |
| const Matrix & | GetMatrix () const |
| const Origin | GetOrigin () const |
| bool | GetValid () const |
| void | InvertMatrix (Frame::Matrix *inv) const |
| void | SetAxisX (double x, double y, double z) |
| void | SetAxisX (const Axis &a) |
| void | SetAxisY (double x, double y, double z) |
| void | SetAxisY (const Axis &a) |
| void | SetAxisZ (double x, double y, double z) |
| void | SetAxisZ (const Axis &a) |
| void | SetMatrix (const Matrix &f) |
| void | SetOrigin (double x, double y, double z) |
| void | SetOrigin (const Origin &o) |
| void | SetValid (bool v) |
Public Attributes | |
| EIGEN_MAKE_ALIGNED_OPERATOR_NEW typedef Eigen::Matrix< double, 3, 1 > | Axis |
Friends | |
| bool | operator!= (const Frame &lhs, const Frame &rhs) |
| bool | operator== (const Frame &lhs, const Frame &rhs) |
Object to represent a coordinate system (X, Y, Z axes and an origin).
By default the frame corresponds to the identity and set as unvalid, meaning that it was not construted from valid markers.
Transformation matrix 4 x 4.
Colum vector representing the frame's orgin.
|
inline |
Gets the X axis.
|
inline |
Gets the Y axis.
|
inline |
Gets the Z axis.
|
inline |
Gets the frame as a 4 x 4 matrix.
|
inline |
Gets the frame as a 4 x 4 matrix.
|
inline |
Gets the origin.
|
inline |
Return if the frame is valid.
|
inline |
Sets the X axis.
|
inline |
Sets the X axis.
|
inline |
Sets the Y axis.
|
inline |
Sets the Y axis.
|
inline |
Sets the Z axis.
|
inline |
Sets the Z axis.
|
inline |
Sets the frame.
|
inline |
Sets the origin.
|
inline |
Sets the origin.
|
inline |
Set the validity of the frame. It is usefull when you want to know if the frame was constructed from valid markers.
Convenient method to check inequality of two frames' matrix.
Convenient method to check equality of two frames' matrix..
| btk::Frame::Axis |
Colum vector used to represent frame's axis..


--- layout: post esbma_id: 1770 title: Vault 5.0 Beta 2 date: 2009-07-06 17:05:54 ---
Last week's beta 2 release means that the long-awaited version 5.0 of SourceGear Vault is coming soon. This includes the regular edition of Vault as well as the "much more better" edition which has integrated bug-tracking. (The latter product is actually called SourceGear Fortress and carries the version number 2.0, but its heart is still Vault.)
This release has numerous improvements, but for now I want to highlight one new feature which we call "VSS Handoff". Basically, Handoff is a simpler and faster way of importing a SourceSafe database. Instead of converting all your old history, Vault simply wraps your VSS database and makes it part of your Vault repository. After that, all new checkins will go into the regular Vault database. For history operations which need to access stuff that happened before the Handoff, the VSS database is seamlessly referenced. The transition from SourceSafe can't get more painless than this.
Bottom line: If you are still using SourceSafe, Vault 5 will remove your last excuse.
In fact, shortly after Vault 5 is released, I plan to go on a world tour. If you are still clinging to SourceSafe, I will visit your office. I will taunt you mercilessly and suggest an MRI to confirm that there is nothing between your ears but bone. And I will drench you with my new Super Soaker Max Infusion Flash Flood Water Blaster.
And I will be morally justified. You've been given many opportunities to switch to any one of several dozen competent version control tools. And yet, it's 2009 and you're still using SourceSafe. Surely you didn't expect this to end well?
BTW, for more details about Vault 5, check out the recent blog entries by Jeremy or Paul. :-)


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/image.20under.20smul.2Fadd.2Fetc.html ---
A few minutes ago I wrote down the line
/-- The image of a set under scalar multiplication. -/ local notation a ` •'' `:74 S:75 := (λ x, a • x) '' S
I was thinking specifically of inflating sets in vector spaces, but then I mentioned it to @Chris Hughes and he pointed out that it could just be an instance:
instance (α : Type*) (β : Type*) [has_scalar α β] : has_scalar α (set β) := ⟨λ a B, (λ x, a • x) '' B⟩
This definition (and similar ones for has_add
and friends) makes sense whenever a • b
does.
I can't help but suspect there's a reason mathlib
doesn't already do this, or that there's something to this effect that I just haven't found. Please advise?
well we have that for submodules
well we have that for submodules
we do, and that's part of the reason i'm suspicious! why for submodules but not for arbitrary subsets of types that have scalar multiplication?
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Gran's intense fear of cats is so bad she avoids the pet food aisle when shopping
Jean Diffenthal panics if she comes anywhere near a cat and even avoids the pet food aisle in case she spots a picture on tinned food
by Amardeep BasseyA woman's phobia of cats is so bad she can't face walking past the pet food aisle when out shopping in case she glances at a picture on tinned cat food.
Jean Diffenthal, 55, panics if she comes anywhere near a cat and even avoids watching certain TV programmes or adverts in case one pops up.
Grandmother-of-two Jean pays her relatives to put their cats in a cattery when she goes home to visit to avoid seeing them.
Anytime she spots one she 'freaks out' and her heart starts racing - AND even the word ‘cat’ gives her the ‘heebie jeebies’.
Jean struggled to buy her house in Reading, Berkshire, because she refused to view a property with a cat in it or any kind of cat ornaments.
She has never even touched a cat and even singing any nursery rhymes mentioning the animal is off the table, she claims.
The phobia has gradually gotten worse over the years and makes everyday tasks difficult for Jean - she is desperate to find some help and overcome her fear.
Jean, who is currently unemployed, said: “I can’t be in the same room as a cat or even look at this without freaking out.
“I’ll avoid the pet aisle at the supermarket so I don’t seem imagines of cats on tinned food.
“I’m from South Africa originally and when I got home to visit family I’ll pay to put their cats in the cattery while I’m there.
"I've got a tiny garden, but I've got about six cat repellents out there just in case.
“I feel my heart racing and I break out into a sweat whenever I spot one – even saying the word gives me the heebie jeebies.
“I just tell people I’m allergic now to save time explaining the phobia because people just don’t understand it.”
Jean, who is originally from Durban, South Africa, moved to Reading, Berks., 16 years ago, and has had a fear of domestic house cats for as long as she can remember.
She lives at home with her husband Russell and they have to plan ahead before visiting friends and family in case they have a cat.
Jean has even visited a hypnotherapist, but nothing has helped her overcome her fear.
"People always asked if it began because of some traumatic experience but it didn’t," Jean said.
“For as long as I can remember I’ve been scared of them and I have no idea why. It’s something about their eyes and they're agile - they quietly dart about.
'I don't know where they'll be hiding'
“I’ve never touched a cat because they look like they’re all skin and bone which freaks me out. Although it’s just domestic cats – I don’t have problem with lions or tigers.
"I think moving from South Africa to the UK has made it worse because there are so many more pet cats here.
"They're often out roaming around and I don't know where they'll be hiding which terrifies me."
Even choosing a property in the UK was difficult for Jean.
She said: "Buying a house in the UK was so difficult because of my deep-rooted fear of cats. I couldn't go in a view some of them because they had pet cats.
"Even pictures of cats or cat ornaments - if they had anything cat-related I couldn't go in. Most people don't really realise how prevalent they are in everyday life but I can easily spot them."
The phobia has gradually deteriorated over the years and it now affects Jean day-to-day life.
Even simple tasks like watching TV or spending time with her grandchildren, three-year-old twins Leyla and Renelan, has become a challenge for Jean.
She said: “I loved watching reality shows with my daughter Bianca but one of them had a resident cat on the show.
“I had to look away every time it was on screen and wait until it was gone and safe to look again.
"There so many adverts where they pop up and it sends my heart rate through the roof. I get sweaty when I see them and physically run away if I spot one.
"It's also difficult for my poor husband and we have to make sure there are no cats around when we go to places together.
"Russell's mum passed away recently but before, when I went to visit her in the care home, I had to get Russell to remove a cat picture off the wall in her room before I could go in.
"I make him ask his friends and colleagues if they have one in the house before we go.
"I ask my friends to lock them away in a different room, but on one occasion I heard one scratching at the door and I couldn't stay."
Jean went to see a hypnotherapist five year ago to try and overcome her debilitating fear of cats.
Unfortunately, she found the treatment ineffective and is still hoping to find hope and overcome her fear once and for all.
She said: "The therapist told me to pinch my fingers and think of something good whenever I saw a cat.
"But I couldn't look or be near one long enough to try it. It's really hard to talk about it because no one really understands.
"Although people are scared of things like spiders, which are tiny, so why is are cats any stranger. It's not like fearing a type of caterpillar that you seen once a month - I have to face them most days.
"I hope sharing my story with show people that's not that unusual. It's really affecting everything I do and I want to volunteer for elderly care but often they'll have pet cats in the house."


-
Abuja Bomb Topic: Articles identified by IAI related to "abuja bombing"
-
Boko Haram Threat: Manually selected articles identified by AFRL Analyst
-
Maiduguri: Articles with "Maiduguri" from 01/2014 to 03/2014
-
Boko Haram: Articles with "Boko Haram" from 02/2014
-
Kidnappings: Articles with "Chibok" from 2014
-
China: Summary of "China" articles from 2014
Topic Summaries
-
Topic 1: million, drugs, drug, ndlea, arrests, customs, cocaine, arrested, airport, liberia
-
Topic 3: bomb, blast, abuja, kano, attack, explosion, suicide, killed, bombing, dead
-
Topic 4: haram, boko, jonathan, northern, leaders, insurgency, nigerians, urges, end, stop
-
Topic 6: emergency, rule, state, extension, borno, yobe, adamawa, jonathan, senate, north-east
-
Topic 7: boko, haram, military, insurgency, chief, terrorism, army, security, nigerian, police
-
Topic 8: kill, gunmen, borno, attack, killed, insurgents, village, yobe, attacks, fresh
-
Topic 9: day, jonathan, democracy, president, chibok, visit, soyinka, children's, centenary, celebration
-
Topic 10: military, borno, army, maiduguri, jtf, boko, haram, attack, civilian, terrorists
-
Topic 17: north, east, insurgency, insecurity, youths, jonathan, south, youth, warns, igbo
-
Topic 21: security, yobe, students, schools, police, lagos, killings, protest, killing, govt
-
Topic 23: chibok, girls, jonathan, schoolgirls, back, abducted, parents, abduction, bringbackourgirls, bring


WES CRAVEN'S NEW NIGHTMARE A film review by James Berardinelli Copyright 1994 James Berardinelli
Rating (0 to 10): 7.0
Date Released: 10/14/94 Running Length: 1:52 Rated: R (Violence, gore, language)
Starring: Heather Langenkamp, Robert Englund, Miko Hughes, David Newsom, Tracy Middendorf, John Saxon, Wes Craven Director: Wes Craven Producer: Marianne Maddalena Screenplay: Wes Craven Cinematography: Mark Irwin Music: J. Peter Robinson Released by New Line Cinema
It's been more than fifteen years since the release of John Carpenter's HALLOWEEN, and ten since Wes Craven's A NIGHTMARE ON ELM STREET arrived on the big screen. Each, in its own way, was a top-of- the-line horror flick--a film that relied more on chills and thrills than on graphic displays of butchery. Those movies had unique visions of what was required to scare an audience, and neither resorted to the pointless and grotesque displays of gratuitous gore that permeated the other "big" entry of the time (FRIDAY THE 13TH).
But then came the inevitable sequels, and the corresponding plummet in quality. Making a cheap buck took precedence over everything--including telling a good story. HALLOWEEN 2 was steeped in blood. NIGHTMARE 2, not directed by Wes Craven, lacked even a coherent story. The race to mediocrity--and worse--was on. By the end of the '80s, it was difficult to discern much difference between the various screen bogeymen: Jason, Michael, and Freddy.
The NIGHTMARE ON ELM STREET series perhaps took a slightly different path than the HALLOWEENs and FRIDAYs. It was still gore-happy, but its baddie, Freddy, had a self-deprecating sense of humor (his one-liners reminded one of the kinds of things that Arnold Schwarzenegger was wont to spout). By the fifth NIGHTMARE sequel, the films had become self- parodies.
So why do another NIGHTMARE movie? Probably, as New Line Cinema exec Robert Shaye puts it (in a cameo in this new entry), because the public wants it. The Freddy Krueger mask is still a pretty hot seller in Halloween costume stores.
Perhaps the best turn of events is the return of Wes Craven, directing a NIGHTMARE for the first time since the original. He has returned a sense of genuine horror to the series, in part by taking it to completely new ground, and in part by giving his actors a legitimate script to work with. The Freddy of old--a horrifying, murderous creature--is back, replacing the caricature who gasped his last in 1991's FREDDY'S DEAD--THE FINAL NIGHTMARE.
WES CRAVEN'S NEW NIGHTMARE focuses on the lives of some of the actors who appeared in the 1984 original (Heather Langenkamp, Robert Englund, and John Saxon, all of whom play themselves). Langenkamp is having dreams about Freddy and Englund is painting some very strange pictures. For his part, Craven (who also appears in the film) is writing a new script (which turns out to be the screenplay for this picture). All of them realize that something is very wrong.
Then, Langenkamp's young son Dylan (Miko Hughes) starts having catatonic episodes where he speaks in Freddy's voice, and her husband Chase (David Newsom) is involved in an accident that appears to involve razor-sharp claws. Freddy, according to Craven (who is called upon to provide an explanation for everything that's going on) is a being of mythical evil whose essence was captured by the NIGHTMARE films.
Whereas the other NIGHTMARE ON ELM STREET films delighted in blurring the lines between waking and dreaming, this one adds another layer--that of pseudo-reality versus fantasy. Craven has given himself a wonderful new playground to fool around in, and he clearly relishes the opportunity. Those who can accept the basic premise are likely to have nearly as much fun. This isn't quite cinema verite, but at its most clever, it comes close--a sort of big-budget, horror version of MY LIFE'S IN TURNAROUND. The only argument against Craven's vision is that he perhaps didn't push the envelope far enough.
Of course, the centerpiece of WES CRAVEN'S NEW NIGHTMARE is Freddy Krueger (once again played by Englund, even though the end credits ascribe Freddy's role to "himself"). This time around, the dream demon has been given a newer, meaner look and a set of nastier claws, but there's no questioning that he's the same monster that began his screen haunts a decade ago. The visual and gore effects, while not ILM top-of- the-line, are believable and occasionally downright chilling. The entire production is steeped in an unsettling atmosphere.
The cinematic horror genre, like the science fiction one, has been badly hamstrung by poor films, and several of the NIGHTMARE ON ELM STREET entries have been at the forefront of the decline. Therefore, it's somewhat ironic that one of the most intelligent and creative efforts to come along in a while bears the NIGHTMARE theme, title, and signature villain. Any copycat features spawned by this movie will hopefully take a cue from WES CRAVEN'S NEW NIGHTMARE and favor quality of scares over quantity of blood.
- James Berardinelli<EMAIL_ADDRESS>.
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