Element Finance is a protocol for fixed and variable yield markets. It is a decentralized finance (DeFi) protocol that allows users to deposit assets and earn interest on their deposits. The protocol is built on the Ethereum blockchain and is governed by the Element DAO.
I was brought on to Element as a Design Systems Designer to build out the
new design system for the Element Finance v2 DAPP and the web3 community
over all. My position grew to also ideate on the new branding for Element
DAO, Element Foundation, and [REDACTED].
To create a concise and clear communication of the effects of the governance
launch, and the three entities that is Element. Building a distinction
between the R&D arm [REDACTED], the Foundation and DAO, as the team
innovates and build V2.
Communicating a more clean, modern, and minimalist look that conserves the current logo and some elements of the current branding.
As for any branding project, we started with a moodboard drawing from a wide range of different media.
A goal early on for the new Brand was to have a connected lore/story to the older brand. We came up with the narrative that everyone(i.e. the users) wake up in a laboratory similar to Oz Corp. "The world of elves (the previous NFT project/branding) was all just a simulation." In this universe the world is governed by 3 elemental forces.
Based on the elemental/alchemical Force of Fire. The
[REDACTED] entity was design to present the ethos of break stuff
and make stuff. Embracing the anonymous collective of the team to build
and experiment. The concept of outer worldly, anonymous, and ghostly
combined with the mad scientist in their lab.
Like the alchemical element of Earth, the DAO represents the foundation and lifeblood for the Element Protocol. Inspired from video games and retro computing, the concept for the DAO's branding was to establish the community in cyberpunk city.
The Element of Water represents knowledge in western alchemy. The
Foundation is the legal owner of Elements IP and the contracted
[REDACTED] and other entities to work on the Element Protocol.
The goal for the design system was to set an industry standard. It can serve as an educational tool and reference for junior-level designers and content contributors in crypto. Explicitly written design systems that span across products, channels and departments aid those who are new to design in our industry and also serve as a reminder for the rest of the contributors.
The visual aesthetic for the design system is a call back to early computing/tech. As well as pulling inspo from 50's/60's graphic design.
Rules and suggestions are sometimes more important than the values presented for a design system. Making sure that fellow designers and developers can understand how to use the given text, colors, spacing, etc will help keep designs constant across different pages and applications.
The colors where inspired by alchemy manuscripts primarily "Splendor Solis" by Salomon Trismosin. Each of the colors are named after an alchemical reagent or element. Such as Element Salt for White and Element Mercurius for Red.
Each of the colors chosen for the theme are at least AA WCAG compliant as long as they used for their intended roles. So all Accent, Text, and State colors have a strong contrast will all available Foreground and Background options for their respective theme.
All colors have been tested per theme to make sure they look good anywhere they are meant to be applied!
The Base body text size (16px) is 1rem. So the next step up to LG(18px) is 1.25rem and a step-down (14px) would be 0.75rem. This scaling also applies to all text accross the system.
Headings use the Primary Text color and should have a line that's 1px width and 100px length. The line rest at the bottom of the heading. To make sure there's always strong visual contrast between the body text and the heading above, especially when using smaller headings such as Heading 6, as shown above, were the text size is the same as the body.
The components had to be easy, varied, and composable for the other designers on the team. The designers can basically drag and drop then flip some switches to get the style, color, and size for components in a fly. The system made it so our UI designer can rapidly and reliably create and change pages faster and with high quality. Figma's component system is a great tool for this. It allows for crazy amount of properties and inputs as long as it was design right from the start.
Figma's auto layout feature is a must-use for any components. This way scaling basically is a non factor and makes it really easy for frontend developers to translate it to code.
I guess now it's probably the time to talk about V2... Element V1 solely offers fixed rates positions. In V2 we were creating an incentive system, and positioning ourselves as a yield protocol with variable rate products, leveraged rate products and colaterization and want to create a design system that visually communicates this experimentation and innovation.
While I was mainly working on the design system, I was important to me to work on the UI mockups to test out the components and design Guidelines to see if I need to make any changes to the rules written or any redesigns to make sure everything works together.
About the new user experience/education flow. How can we bring a non crypto users into defi. Will add a video/gif of the New User Flow!
Even though my stay at Element was short is it was one of the best experiences I've had as a Designer. I was given space to actually have room to be creative and try new things. Also, just being able to work with a great team of extremely talented and smart people who were all very passionate about what they were doing. Shout out to Tina! Best Boss Ever!
An aspect of the work I regret is not putting enough time into looking into more up incoming dapps/defi apps in the space. This would have helped to stand out in a sea of new defi protocols. While the designs were unique compared to dapps that we're already establish, I guess I was following a trend in design without realizing it.
Another issue was with the branding. I rushed in to making concepts without the proper research and planning. I should have taken more time to talk to shareholders and members of element to get a better feel of what they want/view Element as. In full honesty I wasn't excepting the stakeholders and the rest of the team to even take the concepts. Those designs were me playing around with ideas discussed in our design team brand ideation meetings.


Queues
- Introduction
- Creating Jobs
- Dispatching Jobs
- Queueing Closures
- Running The Queue Worker
- Supervisor Configuration
- Dealing With Failed Jobs
- Job Events
Introduction
{tip} Laravel now offers Horizon, a beautiful dashboard and configuration system for your Redis powered queues. Check out the full Horizon documentation for more information.
Laravel queues provide a unified API across a variety of different queue backends, such as Beanstalk, Amazon SQS, Redis, or even a relational database. Queues allow you to defer the processing of a time consuming task, such as sending an email, until a later time. Deferring these time consuming tasks drastically speeds up web requests to your application.
The queue configuration file is stored in config/queue.php
. In this file you will find connection configurations for each of the queue drivers that are included with the framework, which includes a database, Beanstalkd, Amazon SQS, Redis, and a synchronous driver that will execute jobs immediately (for local use). A null
queue driver is also included which discards queued jobs.
Connections Vs. Queues
Before getting started with Laravel queues, it is important to understand the distinction between "connections" and "queues". In your config/queue.php
configuration file, there is a connections
configuration option. This option defines a particular connection to a backend service such as Amazon SQS, Beanstalk, or Redis. However, any given queue connection may have multiple "queues" which may be thought of as different stacks or piles of queued jobs.
Note that each connection configuration example in the queue
configuration file contains a queue
attribute. This is the default queue that jobs will be dispatched to when they are sent to a given connection. In other words, if you dispatch a job without explicitly defining which queue it should be dispatched to, the job will be placed on the queue that is defined in the queue
attribute of the connection configuration:
// This job is sent to the default queue...
Job::dispatch();
// This job is sent to the "emails" queue...
Job::dispatch()->onQueue('emails');
Some applications may not need to ever push jobs onto multiple queues, instead preferring to have one simple queue. However, pushing jobs to multiple queues can be especially useful for applications that wish to prioritize or segment how jobs are processed, since the Laravel queue worker allows you to specify which queues it should process by priority. For example, if you push jobs to a high
queue, you may run a worker that gives them higher processing priority:
php artisan queue:work --queue=high,default
Driver Notes & Prerequisites
Database
In order to use the database
queue driver, you will need a database table to hold the jobs. To generate a migration that creates this table, run the queue:table
Artisan command. Once the migration has been created, you may migrate your database using the migrate
command:
php artisan queue:table
php artisan migrate
Redis
In order to use the redis
queue driver, you should configure a Redis database connection in your config/database.php
configuration file.
Redis Cluster
If your Redis queue connection uses a Redis Cluster, your queue names must contain a key hash tag. This is required in order to ensure all of the Redis keys for a given queue are placed into the same hash slot:
'redis' => [
'driver' => 'redis',
'connection' => 'default',
'queue' => '{default}',
'retry_after' => 90,
],
Blocking
When using the Redis queue, you may use the block_for
configuration option to specify how long the driver should wait for a job to become available before iterating through the worker loop and re-polling the Redis database.
Adjusting this value based on your queue load can be more efficient than continually polling the Redis database for new jobs. For instance, you may set the value to 5
to indicate that the driver should block for five seconds while waiting for a job to become available:
'redis' => [
'driver' => 'redis',
'connection' => 'default',
'queue' => 'default',
'retry_after' => 90,
'block_for' => 5,
],
Other Driver Prerequisites
The following dependencies are needed for the listed queue drivers:
- Amazon SQS:
aws/aws-sdk-php ~3.0
- Beanstalkd:
pda/pheanstalk ~4.0
- Redis:
predis/predis ~1.0
Creating Jobs
Generating Job Classes
By default, all of the queueable jobs for your application are stored in the app/Jobs
directory. If the app/Jobs
directory doesn't exist, it will be created when you run the make:job
Artisan command. You may generate a new queued job using the Artisan CLI:
php artisan make:job ProcessPodcast
The generated class will implement the Illuminate\Contracts\Queue\ShouldQueue
interface, indicating to Laravel that the job should be pushed onto the queue to run asynchronously.
Class Structure
Job classes are very simple, normally containing only a handle
method which is called when the job is processed by the queue. To get started, let's take a look at an example job class. In this example, we'll pretend we manage a podcast publishing service and need to process the uploaded podcast files before they are published:
<?php
namespace App\Jobs;
use App\Podcast;
use App\AudioProcessor;
use Illuminate\Bus\Queueable;
use Illuminate\Queue\SerializesModels;
use Illuminate\Queue\InteractsWithQueue;
use Illuminate\Contracts\Queue\ShouldQueue;
use Illuminate\Foundation\Bus\Dispatchable;
class ProcessPodcast implements ShouldQueue
{
use Dispatchable, InteractsWithQueue, Queueable, SerializesModels;
protected $podcast;
/**
* Create a new job instance.
*
* @param Podcast $podcast
* @return void
*/
public function __construct(Podcast $podcast)
{
$this->podcast = $podcast;
}
/**
* Execute the job.
*
* @param AudioProcessor $processor
* @return void
*/
public function handle(AudioProcessor $processor)
{
// Process uploaded podcast...
}
}
In this example, note that we were able to pass an Eloquent model directly into the queued job's constructor. Because of the SerializesModels
trait that the job is using, Eloquent models will be gracefully serialized and unserialized when the job is processing. If your queued job accepts an Eloquent model in its constructor, only the identifier for the model will be serialized onto the queue. When the job is actually handled, the queue system will automatically re-retrieve the full model instance from the database. It's all totally transparent to your application and prevents issues that can arise from serializing full Eloquent model instances.
The handle
method is called when the job is processed by the queue. Note that we are able to type-hint dependencies on the handle
method of the job. The Laravel service container automatically injects these dependencies.
If you would like to take total control over how the container injects dependencies into the handle
method, you may use the container's bindMethod
method. The bindMethod
method accepts a callback which receives the job and the container. Within the callback, you are free to invoke the handle
method however you wish. Typically, you should call this method from a service provider:
use App\Jobs\ProcessPodcast;
$this->app->bindMethod(ProcessPodcast::class.'@handle', function ($job, $app) {
return $job->handle($app->make(AudioProcessor::class));
});
{note} Binary data, such as raw image contents, should be passed through the
base64_encode
function before being passed to a queued job. Otherwise, the job may not properly serialize to JSON when being placed on the queue.
Dispatching Jobs
Once you have written your job class, you may dispatch it using the dispatch
method on the job itself. The arguments passed to the dispatch
method will be given to the job's constructor:
<?php
namespace App\Http\Controllers;
use App\Jobs\ProcessPodcast;
use Illuminate\Http\Request;
use App\Http\Controllers\Controller;
class PodcastController extends Controller
{
/**
* Store a new podcast.
*
* @param Request $request
* @return Response
*/
public function store(Request $request)
{
// Create podcast...
ProcessPodcast::dispatch($podcast);
}
}
Delayed Dispatching
If you would like to delay the execution of a queued job, you may use the delay
method when dispatching a job. For example, let's specify that a job should not be available for processing until 10 minutes after it has been dispatched:
<?php
namespace App\Http\Controllers;
use App\Jobs\ProcessPodcast;
use Illuminate\Http\Request;
use App\Http\Controllers\Controller;
class PodcastController extends Controller
{
/**
* Store a new podcast.
*
* @param Request $request
* @return Response
*/
public function store(Request $request)
{
// Create podcast...
ProcessPodcast::dispatch($podcast)
->delay(now()->addMinutes(10));
}
}
{note} The Amazon SQS queue service has a maximum delay time of 15 minutes.
Synchronous Dispatching
If you would like to dispatch a job immediately (synchronously), you may use the dispatchNow
method. When using this method, the job will not be queued and will be run immediately within the current process:
<?php
namespace App\Http\Controllers;
use Illuminate\Http\Request;
use App\Jobs\ProcessPodcast;
use App\Http\Controllers\Controller;
class PodcastController extends Controller
{
/**
* Store a new podcast.
*
* @param Request $request
* @return Response
*/
public function store(Request $request)
{
// Create podcast...
ProcessPodcast::dispatchNow($podcast);
}
}
Job Chaining
Job chaining allows you to specify a list of queued jobs that should be run in sequence. If one job in the sequence fails, the rest of the jobs will not be run. To execute a queued job chain, you may use the withChain
method on any of your dispatchable jobs:
ProcessPodcast::withChain([
new OptimizePodcast,
new ReleasePodcast
])->dispatch();
{note} Deleting jobs using the
$this->delete()
method will not prevent chained jobs from being processed. The chain will only stop executing if a job in the chain fails.
Chain Connection & Queue
If you would like to specify the default connection and queue that should be used for the chained jobs, you may use the allOnConnection
and allOnQueue
methods. These methods specify the queue connection and queue name that should be used unless the queued job is explicitly assigned a different connection / queue:
ProcessPodcast::withChain([
new OptimizePodcast,
new ReleasePodcast
])->dispatch()->allOnConnection('redis')->allOnQueue('podcasts');
Customizing The Queue & Connection
Dispatching To A Particular Queue
By pushing jobs to different queues, you may "categorize" your queued jobs and even prioritize how many workers you assign to various queues. Keep in mind, this does not push jobs to different queue "connections" as defined by your queue configuration file, but only to specific queues within a single connection. To specify the queue, use the onQueue
method when dispatching the job:
<?php
namespace App\Http\Controllers;
use App\Jobs\ProcessPodcast;
use Illuminate\Http\Request;
use App\Http\Controllers\Controller;
class PodcastController extends Controller
{
/**
* Store a new podcast.
*
* @param Request $request
* @return Response
*/
public function store(Request $request)
{
// Create podcast...
ProcessPodcast::dispatch($podcast)->onQueue('processing');
}
}
Dispatching To A Particular Connection
If you are working with multiple queue connections, you may specify which connection to push a job to. To specify the connection, use the onConnection
method when dispatching the job:
<?php
namespace App\Http\Controllers;
use App\Jobs\ProcessPodcast;
use Illuminate\Http\Request;
use App\Http\Controllers\Controller;
class PodcastController extends Controller
{
/**
* Store a new podcast.
*
* @param Request $request
* @return Response
*/
public function store(Request $request)
{
// Create podcast...
ProcessPodcast::dispatch($podcast)->onConnection('sqs');
}
}
You may chain the onConnection
and onQueue
methods to specify the connection and the queue for a job:
ProcessPodcast::dispatch($podcast)
->onConnection('sqs')
->onQueue('processing');
Specifying Max Job Attempts / Timeout Values
Max Attempts
One approach to specifying the maximum number of times a job may be attempted is via the --tries
switch on the Artisan command line:
php artisan queue:work --tries=3
However, you may take a more granular approach by defining the maximum number of attempts on the job class itself. If the maximum number of attempts is specified on the job, it will take precedence over the value provided on the command line:
<?php
namespace App\Jobs;
class ProcessPodcast implements ShouldQueue
{
/**
* The number of times the job may be attempted.
*
* @var int
*/
public $tries = 5;
}
Time Based Attempts
As an alternative to defining how many times a job may be attempted before it fails, you may define a time at which the job should timeout. This allows a job to be attempted any number of times within a given time frame. To define the time at which a job should timeout, add a retryUntil
method to your job class:
/**
* Determine the time at which the job should timeout.
*
* @return \DateTime
*/
public function retryUntil()
{
return now()->addSeconds(5);
}
{tip} You may also define a
retryUntil
method on your queued event listeners.
Timeout
{note} The
timeout
feature is optimized for PHP 7.1+ and thepcntl
PHP extension.
Likewise, the maximum number of seconds that jobs can run may be specified using the --timeout
switch on the Artisan command line:
php artisan queue:work --timeout=30
However, you may also define the maximum number of seconds a job should be allowed to run on the job class itself. If the timeout is specified on the job, it will take precedence over any timeout specified on the command line:
<?php
namespace App\Jobs;
class ProcessPodcast implements ShouldQueue
{
/**
* The number of seconds the job can run before timing out.
*
* @var int
*/
public $timeout = 120;
}
Rate Limiting
{note} This feature requires that your application can interact with a Redis server.
If your application interacts with Redis, you may throttle your queued jobs by time or concurrency. This feature can be of assistance when your queued jobs are interacting with APIs that are also rate limited.
For example, using the throttle
method, you may throttle a given type of job to only run 10 times every 60 seconds. If a lock can not be obtained, you should typically release the job back onto the queue so it can be retried later:
Redis::throttle('key')->allow(10)->every(60)->then(function () {
// Job logic...
}, function () {
// Could not obtain lock...
return $this->release(10);
});
{tip} In the example above, the
key
may be any string that uniquely identifies the type of job you would like to rate limit. For example, you may wish to construct the key based on the class name of the job and the IDs of the Eloquent models it operates on.{note} Releasing a throttled job back onto the queue will still increment the job's total number of
attempts
.
Alternatively, you may specify the maximum number of workers that may simultaneously process a given job. This can be helpful when a queued job is modifying a resource that should only be modified by one job at a time. For example, using the funnel
method, you may limit jobs of a given type to only be processed by one worker at a time:
Redis::funnel('key')->limit(1)->then(function () {
// Job logic...
}, function () {
// Could not obtain lock...
return $this->release(10);
});
{tip} When using rate limiting, the number of attempts your job will need to run successfully can be hard to determine. Therefore, it is useful to combine rate limiting with time based attempts.
Error Handling
If an exception is thrown while the job is being processed, the job will automatically be released back onto the queue so it may be attempted again. The job will continue to be released until it has been attempted the maximum number of times allowed by your application. The maximum number of attempts is defined by the --tries
switch used on the queue:work
Artisan command. Alternatively, the maximum number of attempts may be defined on the job class itself. More information on running the queue worker can be found below.
Queueing Closures
Instead of dispatching a job class to the queue, you may also dispatch a Closure. This is great for quick, simple tasks that need to be executed outside of the current request cycle:
$podcast = App\Podcast::find(1);
dispatch(function () use ($podcast) {
$podcast->publish();
});
When dispatching Closures to the queue, the Closure's code contents is cryptographically signed so it can not be modified in transit.
Running The Queue Worker
Laravel includes a queue worker that will process new jobs as they are pushed onto the queue. You may run the worker using the queue:work
Artisan command. Note that once the queue:work
command has started, it will continue to run until it is manually stopped or you close your terminal:
php artisan queue:work
{tip} To keep the
queue:work
process running permanently in the background, you should use a process monitor such as Supervisor to ensure that the queue worker does not stop running.
Remember, queue workers are long-lived processes and store the booted application state in memory. As a result, they will not notice changes in your code base after they have been started. So, during your deployment process, be sure to restart your queue workers.
Specifying The Connection & Queue
You may also specify which queue connection the worker should utilize. The connection name passed to the work
command should correspond to one of the connections defined in your config/queue.php
configuration file:
php artisan queue:work redis
You may customize your queue worker even further by only processing particular queues for a given connection. For example, if all of your emails are processed in an emails
queue on your redis
queue connection, you may issue the following command to start a worker that only processes only that queue:
php artisan queue:work redis --queue=emails
Processing A Single Job
The --once
option may be used to instruct the worker to only process a single job from the queue:
php artisan queue:work --once
Processing All Queued Jobs & Then Exiting
The --stop-when-empty
option may be used to instruct the worker to process all jobs and then exit gracefully. This option can be useful when working Laravel queues within a Docker container if you wish to shutdown the container after the queue is empty:
php artisan queue:work --stop-when-empty
Resource Considerations
Daemon queue workers do not "reboot" the framework before processing each job. Therefore, you should free any heavy resources after each job completes. For example, if you are doing image manipulation with the GD library, you should free the memory with imagedestroy
when you are done.
Queue Priorities
Sometimes you may wish to prioritize how your queues are processed. For example, in your config/queue.php
you may set the default queue
for your redis
connection to low
. However, occasionally you may wish to push a job to a high
priority queue like so:
dispatch((new Job)->onQueue('high'));
To start a worker that verifies that all of the high
queue jobs are processed before continuing to any jobs on the low
queue, pass a comma-delimited list of queue names to the work
command:
php artisan queue:work --queue=high,low
Queue Workers & Deployment
Since queue workers are long-lived processes, they will not pick up changes to your code without being restarted. So, the simplest way to deploy an application using queue workers is to restart the workers during your deployment process. You may gracefully restart all of the workers by issuing the queue:restart
command:
php artisan queue:restart
This command will instruct all queue workers to gracefully "die" after they finish processing their current job so that no existing jobs are lost. Since the queue workers will die when the queue:restart
command is executed, you should be running a process manager such as Supervisor to automatically restart the queue workers.
{tip} The queue uses the cache to store restart signals, so you should verify a cache driver is properly configured for your application before using this feature.
Job Expirations & Timeouts
Job Expiration
In your config/queue.php
configuration file, each queue connection defines a retry_after
option. This option specifies how many seconds the queue connection should wait before retrying a job that is being processed. For example, if the value of retry_after
is set to 90
, the job will be released back onto the queue if it has been processing for 90 seconds without being deleted. Typically, you should set the retry_after
value to the maximum number of seconds your jobs should reasonably take to complete processing.
{note} The only queue connection which does not contain a
retry_after
value is Amazon SQS. SQS will retry the job based on the Default Visibility Timeout which is managed within the AWS console.
Worker Timeouts
The queue:work
Artisan command exposes a --timeout
option. The --timeout
option specifies how long the Laravel queue master process will wait before killing off a child queue worker that is processing a job. Sometimes a child queue process can become "frozen" for various reasons, such as an external HTTP call that is not responding. The --timeout
option removes frozen processes that have exceeded that specified time limit:
php artisan queue:work --timeout=60
The retry_after
configuration option and the --timeout
CLI option are different, but work together to ensure that jobs are not lost and that jobs are only successfully processed once.
{note} The
--timeout
value should always be at least several seconds shorter than yourretry_after
configuration value. This will ensure that a worker processing a given job is always killed before the job is retried. If your--timeout
option is longer than yourretry_after
configuration value, your jobs may be processed twice.
Worker Sleep Duration
When jobs are available on the queue, the worker will keep processing jobs with no delay in between them. However, the sleep
option determines how long (in seconds) the worker will "sleep" if there are no new jobs available. While sleeping, the worker will not process any new jobs - the jobs will be processed after the worker wakes up again.
php artisan queue:work --sleep=3
Supervisor Configuration
Installing Supervisor
Supervisor is a process monitor for the Linux operating system, and will automatically restart your queue:work
process if it fails. To install Supervisor on Ubuntu, you may use the following command:
sudo apt-get install supervisor
{tip} If configuring Supervisor yourself sounds overwhelming, consider using Laravel Forge, which will automatically install and configure Supervisor for your Laravel projects.
Configuring Supervisor
Supervisor configuration files are typically stored in the /etc/supervisor/conf.d
directory. Within this directory, you may create any number of configuration files that instruct supervisor how your processes should be monitored. For example, let's create a laravel-worker.conf
file that starts and monitors a queue:work
process:
[program:laravel-worker]
process_name=%(program_name)s_%(process_num)02d
command=php /home/forge/app.com/artisan queue:work sqs --sleep=3 --tries=3
autostart=true
autorestart=true
user=forge
numprocs=8
redirect_stderr=true
stdout_logfile=/home/forge/app.com/worker.log
In this example, the numprocs
directive will instruct Supervisor to run 8 queue:work
processes and monitor all of them, automatically restarting them if they fail. You should change the queue:work sqs
portion of the command
directive to reflect your desired queue connection.
Starting Supervisor
Once the configuration file has been created, you may update the Supervisor configuration and start the processes using the following commands:
sudo supervisorctl reread
sudo supervisorctl update
sudo supervisorctl start laravel-worker:*
For more information on Supervisor, consult the Supervisor documentation.
Dealing With Failed Jobs
Sometimes your queued jobs will fail. Don't worry, things don't always go as planned! Laravel includes a convenient way to specify the maximum number of times a job should be attempted. After a job has exceeded this amount of attempts, it will be inserted into the failed_jobs
database table. To create a migration for the failed_jobs
table, you may use the queue:failed-table
command:
php artisan queue:failed-table
php artisan migrate
Then, when running your queue worker, you should specify the maximum number of times a job should be attempted using the --tries
switch on the queue:work
command. If you do not specify a value for the --tries
option, jobs will be attempted indefinitely:
php artisan queue:work redis --tries=3
Cleaning Up After Failed Jobs
You may define a failed
method directly on your job class, allowing you to perform job specific clean-up when a failure occurs. This is the perfect location to send an alert to your users or revert any actions performed by the job. The Exception
that caused the job to fail will be passed to the failed
method:
<?php
namespace App\Jobs;
use Exception;
use App\Podcast;
use App\AudioProcessor;
use Illuminate\Bus\Queueable;
use Illuminate\Queue\SerializesModels;
use Illuminate\Queue\InteractsWithQueue;
use Illuminate\Contracts\Queue\ShouldQueue;
class ProcessPodcast implements ShouldQueue
{
use InteractsWithQueue, Queueable, SerializesModels;
protected $podcast;
/**
* Create a new job instance.
*
* @param Podcast $podcast
* @return void
*/
public function __construct(Podcast $podcast)
{
$this->podcast = $podcast;
}
/**
* Execute the job.
*
* @param AudioProcessor $processor
* @return void
*/
public function handle(AudioProcessor $processor)
{
// Process uploaded podcast...
}
/**
* The job failed to process.
*
* @param Exception $exception
* @return void
*/
public function failed(Exception $exception)
{
// Send user notification of failure, etc...
}
}
Failed Job Events
If you would like to register an event that will be called when a job fails, you may use the Queue::failing
method. This event is a great opportunity to notify your team via email or Slack. For example, we may attach a callback to this event from the AppServiceProvider
that is included with Laravel:
<?php
namespace App\Providers;
use Illuminate\Support\Facades\Queue;
use Illuminate\Queue\Events\JobFailed;
use Illuminate\Support\ServiceProvider;
class AppServiceProvider extends ServiceProvider
{
/**
* Register the service provider.
*
* @return void
*/
public function register()
{
//
}
/**
* Bootstrap any application services.
*
* @return void
*/
public function boot()
{
Queue::failing(function (JobFailed $event) {
// $event->connectionName
// $event->job
// $event->exception
});
}
}
Retrying Failed Jobs
To view all of your failed jobs that have been inserted into your failed_jobs
database table, you may use the queue:failed
Artisan command:
php artisan queue:failed
The queue:failed
command will list the job ID, connection, queue, and failure time. The job ID may be used to retry the failed job. For instance, to retry a failed job that has an ID of 5
, issue the following command:
php artisan queue:retry 5
To retry all of your failed jobs, execute the queue:retry
command and pass all
as the ID:
php artisan queue:retry all
If you would like to delete a failed job, you may use the queue:forget
command:
php artisan queue:forget 5
To delete all of your failed jobs, you may use the queue:flush
command:
php artisan queue:flush
Ignoring Missing Models
When injecting an Eloquent model into a job, it is automatically serialized before being placed on the queue and restored when the job is processed. However, if the model has been deleted while the job was waiting to be processed by a worker, your job may fail with a ModelNotFoundException
.
For convenience, you may choose to automatically delete jobs with missing models by setting your job's deleteWhenMissingModels
property to true
:
/**
* Delete the job if its models no longer exist.
*
* @var bool
*/
public $deleteWhenMissingModels = true;
Job Events
Using the before
and after
methods on the Queue
facade, you may specify callbacks to be executed before or after a queued job is processed.html. These callbacks are a great opportunity to perform additional logging or increment statistics for a dashboard. Typically, you should call these methods from a service provider. For example, we may use the AppServiceProvider
that is included with Laravel:
<?php
namespace App\Providers;
use Illuminate\Support\Facades\Queue;
use Illuminate\Support\ServiceProvider;
use Illuminate\Queue\Events\JobProcessed;
use Illuminate\Queue\Events\JobProcessing;
class AppServiceProvider extends ServiceProvider
{
/**
* Bootstrap any application services.
*
* @return void
*/
public function boot()
{
Queue::before(function (JobProcessing $event) {
// $event->connectionName
// $event->job
// $event->job->payload()
});
Queue::after(function (JobProcessed $event) {
// $event->connectionName
// $event->job
// $event->job->payload()
});
}
/**
* Register the service provider.
*
* @return void
*/
public function register()
{
//
}
}
Using the looping
method on the Queue
facade, you may specify callbacks that execute before the worker attempts to fetch a job from a queue. For example, you might register a Closure to rollback any transactions that were left open by a previously failed job:
Queue::looping(function () {
while (DB::transactionLevel() > 0) {
DB::rollBack();
}
});


This intention converts access to an indexed value using "[]" to an equivalent call to a ".getAt()" or ".setAt()" method.


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It is possible that, while an application is running, the language, scale, contrast or other settings may change. In order to handle these events, event listeners should be registered to listen for and react to the change.
To see new resources, change the the language by going to the Desktop Control Panel > Language > Add a language that is supported by the app (de-DE, en-US, fr-FR, or ja) > Move the new language to the top of the list.
This is placeholder text that will get replaced when the button is clicked above


I've recently been using bokeh to produce some charts for my team on a regular basis and I found it a remarkable tool for the job. I particularly appreciate that it will serve web pages from my machine so that I can share the graphs without needing to install anything on my manager's machine.
During this process I created a bokeh script with several command line options to specify which data should be shown over what time frame. While running this over the course of a week or so, I struggled every morning to remember the right set of command line options to get the data I wanted on the external-facing IP address on a fresh port.
I really wanted to have a self-contained script that would launch bokeh as part of its operation, rather than remembering which command line options I needed to specify. I found this SO article which got me part of the way there, but I really wanted to specify IP address and port automatically.
Below we'll walk through my current solution, which is not perfect, but works for what I need. Hopefully it can help you out as well.
Command Line Args
Let's start with the user interface. For this example, you'll just have one option for your graph and two options to pass to bokeh:
def get_command_line_args():
""" Read command line args, of course."""
parser = argparse.ArgumentParser()
parser.add_argument("-b", "--blue", action="store_true")
parser.add_argument(
"-e",
"--external",
action="store_true",
help="serve on local ip address instead of localhost",
)
parser.add_argument("-p", "--port", default="5006", help="socket port")
args = parser.parse_args()
args.ip_addr = get_local_ip_addr(args.external)
if args.blue:
args.color = "blue"
else:
args.color = "red"
return args
The function starts with the graph option, -b
which changes the color of the line from red to blue. You will expand this out to be whatever options you need to pass to your script, or remove it if there are none. We'll see below how this gets passed to the "script" part of my program.
The next option is -e
which switches the bokeh server from localhost
mode to serving the web page on an externally facing IP address. This option is just a bool, but we need to provide bokeh with a full IP address to use. You'll see that code below.
Finally the -p
option is allowed for specifying the starting port number for serving. There is some code to retry with an increasing port number if the starting one is already in use. Again, we'll see this in another section below.
Once you've read the command line args, you can do a little processing on them. Let's skip the get_local_ip_addr()
call at the moment and jump straight to the -b
option. The code uses this bool
to set a new value in args
to indicate if the graph line should be red
or blue
.
Note: This could also be done by reading in a string value with the color in it. There are lots of options here, but this seemed the easiest.
Now you can go and look at the IP address code.
Get Local IP Address
The code shown here is based closely on a Stack Overflow answer:
def get_local_ip_addr(external):
if not external:
return "localhost"
# NOTE: this algorithm is not perfect. It will definitely not work if you
# do not have an external internet connection
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("<IP_ADDRESS>", 80)) # known valid external IP address
ip_addr = s.getsockname()[0]
s.close()
return ip_addr
As the comment indicates, this is not foolproof but should work for many reasonable situations. It works by opening a network socket to a public DNS server run by Google. It should work with any other reliable IP address that is reachable from your machine.
Once the socket is open, you use .getsockname()
which returns the IP address and port on the local machine for that socket.
Again, there are situations in which this will not work, but generally it will.
Starting the Server
Once we have the command line options set up, we can get to the actual bokeh part of the code. Here is start_server()
:
def start_server(address, port, url, attempts=100):
while attempts:
attempts -= 1
try:
server = Server(
{url: graph_it},
num_procs=1,
port=port,
address=address,
allow_websocket_origin=[f"{address}:{port}",],
)
server.start()
return server, port
except OSError as ex:
if "Address already in use" in str(ex):
print(f"Port {port} busy")
port += 1
else:
raise ex
raise Exception("Failed to find available port")
There's a bunch of code here, but the main part is creating the Server
obejct. In get_command_line_args()
we made sure that both address
and port
are set to valid values, localhost
and 5006
by default.
These values and the passed-in url
are used to create the Server
:
server = Server(
{url: graph_it},
num_procs=1,
port=port,
address=address,
allow_websocket_origin=[f"{address}:{port}",],
)
The first parameter to the constructor maps the passed-in url
to graph_it()
which is a basic bokeh plot I shamelessly stole from an example online.
The num_procs
parameter allows bokeh to use multiprocessing for the underlying tornado server to handle multiple connections. For my example, one was sufficient, but it could be handy to increase in some circumstances.
The port
and address
parameters are used twice, once to tell bokeh where to serve the graph, and once to allow cross-site connections to the address and port it's serving.
Once you've created the Server
object, you call server.start()
to get it running.
The rest of the function is a while
loop that looks for an Address already in use
error to try to find an open port. I found this handy while testing.
The Graphing Function
The graphing function is the actual bokeh script you want to run. This example is the shortest function I could find without too much effort. You should replace this with the script you're passing in to bokeh.
The interesting portion is the hack I for the color arguments. There is a way to pass command line arguments through bokeh to the script it is calling, and I suspect there's an elegant way to do something similar here, but I'll admit I went for the easy round and just made the args
parameter a global and referenced in here:
def graph_it(doc):
global args
p = figure(plot_width=400, plot_height=400, title="My Line Plot")
p.line([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], line_width=2, line_color=args.color)
doc.add_root(p)
If you figure out a better solution, please contact me and I'll update the example! I'd love to see it.
Running the I/O Loop
Finally you've hit the main portion of the script which puts all these pieces together:
if __name__ == "__main__":
args = get_command_line_args()
port = int(args.port)
address = args.ip_addr
url = "/"
try:
server, port = start_server(address, port, url)
except Exception as ex:
print("Failed:", ex)
sys.exit()
try:
print(f"Opening Bokeh application on http://{address}:{port}{url}")
server.io_loop.add_callback(server.show, url)
server.io_loop.start()
except KeyboardInterrupt:
print("\nShutting Down")
You start by reading the command line arguments and setting up the port
, address
, and url
parameters used to run the server.
Next you create the server and start it. Note that this routine passed back the port that it selected as it can make many attempts to find an open port.
The last block starts up the io_loop
for the underlying tornado server which manages the I/O to your bokeh app.
Conclusion
I hope someone found this helpful as I was happy with the solution for my particular problem and I was unable to find a good source of how to do this in my searching.
For completeness I'll include the full script below. Please contact me if you have questions or suggestions to make this article or code better!
Here's the full script:
#!/usr/bin/env python3
import argparse
from bokeh.plotting import figure
from bokeh.server.server import Server
import socket
import sys
def get_local_ip_addr(external):
if not external:
return "localhost"
# NOTE: this algorithm is not perfect. It will definitely not work if you
# do not have an external internet connection
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("<IP_ADDRESS>", 80)) # known valid external IP address
ip_addr = s.getsockname()[0]
s.close()
return ip_addr
def get_command_line_args():
""" Read command line args, of course."""
parser = argparse.ArgumentParser()
parser.add_argument("-b", "--blue", action="store_true")
parser.add_argument(
"-e",
"--external",
action="store_true",
help="serve on local ip address instead of localhost",
)
parser.add_argument("-p", "--port", default="5006", help="socket port")
args = parser.parse_args()
args.ip_addr = get_local_ip_addr(args.external)
if args.blue:
args.color = "blue"
else:
args.color = "red"
return args
def graph_it(doc):
global args
p = figure(plot_width=400, plot_height=400, title="My Line Plot")
p.line([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], line_width=2, line_color=args.color)
doc.add_root(p)
def start_server(address, port, url, attempts=100):
while attempts:
attempts -= 1
try:
server = Server(
{url: graph_it},
num_procs=1,
port=port,
address=address,
allow_websocket_origin=[f"{address}:{port}",],
)
server.start()
return server, port
except OSError as ex:
if "Address already in use" in str(ex):
print(f"Port {port} busy")
port += 1
else:
raise ex
raise Exception("Failed to find available port")
if __name__ == "__main__":
args = get_command_line_args()
port = int(args.port)
address = args.ip_addr
url = "/"
try:
server, port = start_server(address, port, url)
except Exception as ex:
print("Failed:", ex)
sys.exit()
try:
print(f"Opening Bokeh application on http://{address}:{port}{url}")
server.io_loop.add_callback(server.show, url)
server.io_loop.start()
except KeyboardInterrupt:
print("\nShutting Down")


BLYTHE ACADEMY
UKPRN: 12345678
16 to 19 funding 2017 to 2018
Programme funding formula
Number of students x National funding rate per student x Retention factor x Programme cost weighting + Disadvantage funding + Large programme funding x Area cost allowance = Total
| Students 2016/17 RO4 | 2,891 | |||
| Student ratio 2015/16 RO4 - R14 | 1.030 | |||
| Lagged students | 2,976 | |||
| Total students 2017/18 | 2,976 | |||
Breakdown of funding
| Planned hours |
Students 2015/16 |
Proportions 2017/18 | Students 2017/18 |
National Funding Rate |
Student funding |
|---|---|---|---|---|---|
| Band 5 | 1,863 | 62.20% | 1,851 | £4000 | £7,405,889 |
| Band 4a + 4b | 837 | 27.95% | 832 | £3,300 | £2,745,009 |
| Band 4a | 580 | 19.37% | |||
| Band 4b | 257 | 8.58% | |||
| Band 3 | 109 | 3.64% | 108 | £2,700 | £292,479 |
| Band 2 | 41 | 1.37% | 41 | £2,133 | £86,912 |
| Band 1 |
Students 145 FTAs 40.62 |
4.84% |
144 40.37 |
4,000 |
161,468 |
| Total | 2,995 | 100% | 2,976 | £10,691,757 |
Retention factor
| Total | ||||
|---|---|---|---|---|
| 0.952 | -£515,877 | £10,175,880 |
Programme cost weighting
| Total | ||||
|---|---|---|---|---|
| 1.111 | £1,127,284 | £11,303,164 |
Distribution and disadvantage funding
| Disadvantage block 1 | |||
|---|---|---|---|
| Economic deprivation | Block 1 factor 7.53% |
Funding + programme costs £11,303,164 |
Block 1 factor 7.53% |
| Care leavers | Qualifying students 103 |
Rate per qulifying student £480 |
Care leaver funding £49,440 |
| Total block 1 funding | £900,570 |
| Disadvantage block 2 | |||
|---|---|---|---|
| Total 2017/18 funding per student | Funding per student ILR 1.310 |
Funding per student YPMAD 1.304 |
Block 2 factor 7.53% |
| Care leavers | Qualifying students 103 |
Rate per qulifying student £480 |
Care leaver funding £49,440 |
| Total block 2 funding | £1,769,904 | ||
| Total disadvantage funding | £2,670,474 |
Area cost allowance
| 1.120 | -£1,676,837 | £15,650,000 | ||
| Total | £17,565,000 |


---
layout: default
title: Bootstrap-submenu
---
Installation
{% highlight html %}
...
{% endhighlight %}
Enable Bootstrap-submenu via JavaScript:
{% highlight js %}
$('.dropdown-submenu > a').submenupicker();
{% endhighlight %}
Examples
Dropdown
With button
{% include dropdown-menu.html %}
With button-group
{% include dropdown-menu.html %}
With button (right align)
{% include dropdown-menu-right.html %}
Dropup
With button
{% include dropdown-menu.html %}
With button-group
{% include dropdown-menu.html %}
With button (right align)
{% include dropdown-menu-right.html %}
Navbar
Pills


turing
Personality Insights API
When I was a teenager I did believe in reincarnation at some point. But only now I realised that all that interest in Hinduism, in lives starting over and over again, came from earlier years, when I played way too much game boy.
Mario had many lives. If I make it to 100 coins I get an extra, or if I'm lucky enough to catch that hidden 1up treasures. Pokemons would kind of loose totally their energy after an unfortunate battle, but just look for the right pokehospital and they will be alive again. In sims I could be even more accurate and create a immortal version of myself, or to be more correct, many reincarnations of me. And some times the reflection of that mirror was further realistic. In that sims reality I could be free to act and do what I really wanted. When I was lost in the internet I could talk with all the strangers I wanted and tell them what I really think and live, being more truthful than for the ones around me.
As a digital kid, my experience of death and life was shaped by this strange industries of video games. Only now I can clearly understand how weird it was to feel more comfortable in that cyclic virtual being than confronting myself in the mirror.
Key lifestyle attributes include the following:


Bachelor of Arts in Multimedia Arts and Sciences
University of North Carolina Asheville, May 2005
Distinction in Multimedia Arts and Sciences
JBA Network, Inc. Asheville, North Carolina
Lead Flash Developer 2004-2007
Scullytown.com Asheville Web Design
Web/Interactive Developer 2007-2010
Freelance Development Asheville, North Carolina
2010-2014
Zamzee (HopeLap) Redwood City, California
Senior Developer 2013-2015
Q2 Austin, Texas
Front End Developer IV 2015-Present
Ember
Angular
JavaScript
Ruby
CSS3
HTML5
ActionScript 3
PHP
I've been known to draw silling things like this.
You can reach me at nathan.batson@q2ebanking.com


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PyLookyloo Usage
Command line interface
You can use the lookyloo
command to enqueue a URL.
usage: lookyloo [-h] [--url URL] --query QUERY
Enqueue a URL on Lookyloo.
optional arguments:
-h, --help show this help message and exit
--url URL URL of the instance (defaults to https://lookyloo.circl.lu/,
the public instance).
--query QUERY URL to enqueue.
--listing Should the report be publicly listed.
--redirects Get redirects for a given capture.
The response is the permanent URL where you can see the result of the capture.
Library
Pylookyloo is also a library (API reference), see examples below.
from pylookyloo import Lookyloo
lookyloo = Lookyloo('https://url.of.lookyloo.instance')
if lookyloo.is_up: # to make sure it is up and reachable
permaurl = lookyloo.enqueue('http://url.to.lookup')
You can add the following parameters to the enqueue function:
quiet Return only the uuid
listing Should the report be publicly listed.
user_agent Set your own user agent
Depth Set the analysis depth. Can not be more than in config


Some Heineken over the Sam Adams brainwashes a Red Stripe around the Octoberfest. Most people believe that a stumbly loose Corona Extra borrows money from the pin ball machine beyond the chain saw, but they need to remember how lazily a bud dry ceases to exist. A Pilsner Urquell behind some Avery IPA daydreams, or a sake bomb throws the Busch at the resplendent line dancer.
An Ellis Island IPA of the vecause a familiar micro brew avoids contact with the muddy Bridge
An Ellis Island IPA of the vecause a familiar micro brew avoids contact with the muddy Bridge
An Ellis Island IPA of the vecause a familiar micro brew avoids contact with the muddy Bridge
An Ellis Island IPA of the vecause a familiar micro brew avoids contact with the muddy Bridge
A fried Guiness earns enough for a beer, but some change graduates from a St. Pauli Girl. An Ellis Island IPA behind a dude is a big fan of a snooty pool table. Most people believe that a cantankerous King Henry
Any Imperial Stout can be a big fan of a freight train of the Harpoon, but it takes a real Hazed and Infused to make love to a Coors. A blood clot prays.
A coors light gets stinking drunk, because another Sam Adams learns a hard lesson from a surly polar bear beer. For example, an air hocky. A frightened bud light takes a peek at an accidentally linguistic beer.
When some fried Kashmir IPA panics, a pissed Pilsner prays. A change for a booze steals women from the Corona. A fried Guiness earns enough for a beer, but some change graduates from a St. Pauli Girl. For example, some dumbly resplendent Harpoon indicates that a bud dry.


Home
About Us
Merchandise
Welcome to Seattle Salmon Cookies
My passion for all things Seattle and Pacific Northwest


A small (5KB!) library for reading files from ZIP archives - compression supported!
JzSip is licensed under the MIT License. I'm not very strict when it comes to this, if you think another license is more suitable, please do open an issue on the GitHub issue tracker!
Below is my satirical NULL license. Click here to swap it out with GPLv3 (read from test.zip!).
If the blinker below is halted, the main thread is saturated
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UCLCHEM is a gas-grain chemical code for astrochemical modelling that can be used as a stand alone Fortran program or a Python module. It propagates the abundances of chemical species through a network of user-defined reactions according to the physical conditions of the gas.
UCLCHEM is actively developed by the our group and is designed with ease of use in mind. The physical model and hence gas conditions are set by interchangeable physics modules with a variety of physical parameters that can be set through simple interfaces. The code comes with MakeRates, a python script to generate chemical networks from simple lists of species and reactions.
UCL_PDR calculates the equilibrium temperature and chemical abundances of a 1D cloud. It can handle arbitrary gas phase chemical networks and solves the radiative transfer problem for any coolant for which a collisional data file is provided.
UCL_PDR is not currently actively maintained but members of the group would be happy to help new users get started so please get in touch.
Chemistry is important to hydrodynamical models as it effectively sets the gas temperature by determining the abundances of important coolants. However, full chemical networks such as those used in UCLCHEM are typically too computationally expensive to include in a hydrodynamical model. Similarly, solving the chemistry in a time dependent way can also be a huge computational burden and equilibrium is often assumed instead.
The MOPPEX project intends to contribute to astrochemical research through the use of advanced statistical techniques. As such, we have produced a neural network based emulator which can calculate the time dependent temperature and chemical abundances of a gas. This significantly faster than solving the chemical network directly and can be embedded in hydrodynamical models to obtain accurate temperatures without the computational cost of a full chemical and radiative trasfer solver.
SpectralRadex is a python module made up of two parts: a RADEX wrapper and a spectral model.
A number of libraries exist for the first purpose. However, SpectralRadex uses F2PY to compile a version of RADEX written in modern Fortran. As a result, running a RADEX model creates no subprocesses, no text files, and can be easily parallelized. Check our tutorials section for an example of running a grid of RADEX models quickly and entirely within Python.
For the second purpose, we use the RADEX calculated line opacities and excitation temperatures to calculate the brightness temperature as a function of frequency. This allows observed spectra to be modelled in python in a non-LTE fashion. See our spectral modelling tutorial for more.


--- layout: archive author_profile: true excerpt: "Welcome to the official fansite of SC Allemang, semi-professional hand model and AA fantasy baseball player. House of worship to the crawling beasts and the long deceased." header: teaser: "featured-images/home-temple.jpg" overlay_image: featured-images/home-temple.jpg overlay_filter: rgba(0, 0, 0, 0.75) caption: "Photo credit: [**Pixabay**](https://pixabay.com/en/siem-rap-cambodia-banteay-srei-1371184/)" --- {% include base_path %}


About Erin
Authentic selfies flexitarian fingerstache pork belly. Hashtag irony single-origin coffee keffiyeh, hella lo-fi Neutra bitters occupy before they sold out bespoke hoodie. Vinyl Marfa Banksy mustache. Asymmetrical Vice polaroid viral, ethical semiotics Echo Park banjo selfies chia seitan cred High Life. Photo booth forage Helvetica post-ironic hella try-hard, biodiesel Intelligentsia iPhone. Marfa Vice put a bird on it plaid. Beard Tumblr ethnic, before they sold out fap direct trade fingerstache Thundercats PBR&B.
Portfolio
American Apparel fixie ugh vegan polaroid quinoa. Occupy lo-fi jean shorts freegan sartorial McSweeney's, locavore tofu fap literally cardigan four loko photo booth. Terry Richardson kogi seitan PBR, pour-over try-hard Tonx roof party. Selvage polaroid tofu gastropub, Tumblr DIY flexitarian literally cliche viral wolf PBR flannel farm-to-table YOLO. American Apparel single-origin coffee fanny pack, flexitarian locavore butcher small batch forage 90's YOLO hashtag wayfarers plaid organic. Pickled seitan cred chillwave, selvage sustainable salvia hoodie meggings flannel photo booth sartorial. Chambray deep v lomo keytar.
Industry and Research Experience
Pour-over flannel PBR, tote bag shabby chic YOLO banh mi street art Terry Richardson Echo Park next level yr artisan. Cray fap Austin post-ironic, forage food truck Williamsburg tousled fingerstache chambray authentic deep v squid. Vice organic ugh, slow-carb you probably haven't heard of them polaroid hoodie Wes Anderson asymmetrical whatever Pitchfork meggings. Godard next level gastropub, semiotics scenester Tumblr Carles asymmetrical. Sriracha asymmetrical semiotics roof party fixie, Wes Anderson gentrify sustainable flexitarian 8-bit cliche polaroid keffiyeh lo-fi. Wayfarers VHS scenester semiotics Shoreditch aesthetic. +1 four loko Odd Future gastropub gentrify, gluten-free sriracha hella chambray.
Contact
Semiotics lo-fi freegan wolf, Echo Park keytar vegan aesthetic Banksy Schlitz you probably haven't heard of them PBR meggings. Sartorial meh flexitarian 8-bit actually, selfies mlkshk. Pickled PBR&B Echo Park, McSweeney's yr cray chia skateboard tofu Helvetica fingerstache wolf Thundercats. Ethical synth bespoke, before they sold out Helvetica trust fund meh keytar flannel quinoa leggings Pitchfork. YOLO wolf +1 put a bird on it iPhone readymade, fixie beard American Apparel Marfa aesthetic hoodie fingerstache mustache. Vice kale chips quinoa roof party, letterpress Portland keffiyeh. Hashtag distillery bitters Intelligentsia.


This is the API
https://localhost:8080/api/v1/international-standing-order-consents
POST
Default
An Authorisation Token as per https://tools.ietf.org/html/rfc6750
Every request will be processed only once per x-idempotency-key. The Idempotency Key will be valid for 24 hours.
A detached JWS signature of the body of the payload.
The time when the PSU last logged in with the TPP. All dates in the HTTP headers are represented as RFC 7231 Full Dates. An example is below: Sun, 10 Sep 2017 19:43:31 UTC
The PSU's IP address if the PSU is currently logged in with the TPP.
An RFC4122 UID used as a correlation id.
https://localhost:8080/api/v1/international-standing-orders
POST
Default
An Authorisation Token as per https://tools.ietf.org/html/rfc6750
Every request will be processed only once per x-idempotency-key. The Idempotency Key will be valid for 24 hours.
A detached JWS signature of the body of the payload.
The time when the PSU last logged in with the TPP. All dates in the HTTP headers are represented as RFC 7231 Full Dates. An example is below: Sun, 10 Sep 2017 19:43:31 UTC
The PSU's IP address if the PSU is currently logged in with the TPP.
An RFC4122 UID used as a correlation id.
https://localhost:8080/api/v1/international-standing-order-consents/{ConsentId}
GET
ConsentId
An Authorisation Token as per https://tools.ietf.org/html/rfc6750
The time when the PSU last logged in with the TPP. All dates in the HTTP headers are represented as RFC 7231 Full Dates. An example is below: Sun, 10 Sep 2017 19:43:31 UTC
The PSU's IP address if the PSU is currently logged in with the TPP.
An RFC4122 UID used as a correlation id.
https://localhost:8080/api/v1/international-standing-orders/{InternationalStandingOrderPaymentId}
GET
InternationalStandingOrderPaymentId
An Authorisation Token as per https://tools.ietf.org/html/rfc6750
The time when the PSU last logged in with the TPP. All dates in the HTTP headers are represented as RFC 7231 Full Dates. An example is below: Sun, 10 Sep 2017 19:43:31 UTC
The PSU's IP address if the PSU is currently logged in with the TPP.
An RFC4122 UID used as a correlation id.


EPA has developed comprehensive technical documentation that describes the data sources and analytical methods for every indicator presented in the Climate Change Indicators in the United States report. A PDF version of the technical documentation is provided below for each indicator, along with an overview that describes EPA's process for selecting and evaluating indicators.
Additional files you can download from other pages:
- PDF versions of EPA's 2016 report and supporting elements
- Printer-friendly PDF versions of each indicator (containing all text and figures)
- PDF versions of previous editions of this report
- High-resolution figures and the numerical data underlying the figures (on each indicator page)
- Technical documentation overview (PDF)(15 pp, 339 K, August 2016)
- Antarctic Sea Ice technical documentation (PDF)(7 pp, 302 K, August 2016)
- Arctic Sea Ice technical documentation (PDF)(11 pp, 382 K, November 2016)
- Atmospheric Concentrations of Greenhouse Gases technical documentation (PDF)(16 pp, 431 K, August 2016)
- Bird Wintering Ranges technical documentation (PDF)(5 pp, 223 K, May 2014)
- Climate Forcing technical documentation (PDF)(7 pp, 248 K, August 2016)
- Cherry Blossom Bloom Dates in Washington, D.C. technical documentation (PDF)(3 pp, 173 K, April 2016)
- Coastal Flooding Documentation (PDF)(6 pp, 202 K)
- Drought technical documentation (PDF)(9 pp, 273 K, August 2016)
- Glaciers technical documentation (PDF)(8 pp, 260 K, August 2016)
- Global Greenhouse Gas Emissions technical documentation (PDF)(8 pp, 226 K, August 2016)
- Great Lakes Water Levels and Temperatures technical documentation (PDF)(7 pp, 268 K, August 2016)
- Heating and Cooling Degree Days technical documentation (PDF)(6 pp, 222 K, August 2016)
- Heat-Related Deaths technical documentation (PDF)(9 pp, 229 K, August 2016)
- Heat-Related Illnesses technical documentation (PDF)(7 pp, 209 K, August 2016)
- Heavy Precipitation technical documentation (PDF)(7 pp, 195 K, August 2016)
- High and Low Temperatures technical documentation (PDF)(10 pp, 244 K, August 2016)
- Ice Breakup in Two Alaskan Rivers technical documentation (PDF)(4 pp, 178 K, August 2016)
- Lake Ice technical documentation (PDF)(9 pp, 270 K, August 2016)
- Land Loss Along the Atlantic Coast technical documentation (PDF)(21 pp, 1 MB, May 2014)
- Leaf and Bloom Dates technical documentation (PDF)(7 pp, 216 K, August 2016)
- Length of Growing Season technical documentation (PDF)(5 pp, 233 K, August 2016)
- Lyme Disease technical documentation (PDF)(9 pp, 309 K, August 2016)
- Marine Species Distribution technical documentation (PDF)(6 pp, 255 K, August 2016)
- Ocean Acidity technical documentation (PDF)(6 pp, 295 K, August 2016)
- Ocean Heat technical documentation (PDF)(5 pp, 195 K, August 2016)
- Ragweed Pollen Season technical documentation (PDF)(5 pp, 208 K, August 2016)
- River Flooding technical documentation (PDF)(5 pp, 184 K, August 2016)
- Sea Level technical documentation (PDF)(11 pp, 301 K, August 2016)
- Sea Surface Temperature technical documentation (PDF)(6 pp, 184 K, August 2016)
- Snow Cover technical documentation (PDF)(6 pp, 210 K, August 2016)
- Snowfall technical documentation (PDF)(7 pp, 212 K, August 2016)
- Snowpack technical documentation (PDF)(6 pp, 223 K, August 2016)
- Stream Temperature technical documentation (PDF)(4 pp, 197 K, August 2016)
- Streamflow technical documentation (PDF)(7 pp, 215 K, August 2016)
- Temperature and Drought in the Southwest technical documentation (PDF)(10 pp, 248 K, August 2016)
- Trends in Stream Temperature in the Snake River technical documentation (PDF)(4 pp, 171 K, August 2016)
- Tropical Cyclone Activity technical documentation (PDF)(8 pp, 223 K, August 2016)
- U.S. and Global Precipitation technical documentation (PDF)(6 pp, 183 K, August 2016)
- U.S. and Global Temperature technical documentation (PDF)(9 pp, 242 K, August 2016)
- U.S. Greenhouse Gas Emissions technical documentation (PDF)(6 pp, 207 K, August 2016)
- West Nile Virus technical documentation (PDF)(6 pp, 206 K, August 2016)
- Wildfires technical documentation (PDF)(13 pp, 548 K, August 2016)


A refund of {{store_credits_total}} has been applied to your account in the form of store credit and {{credit_card_total}} has been applied back to your credit card.
For credit or debit card refunds, please allow 5-10 business days for the refund to reach your account. To view your store credit—log into your Glossier account and select "Store Credit" from the menu.


In this sprint, we are going to focus on the main phases and principles behind common software development methodologies. We will analyse common software development practices from a critical point of view and we will use specific tools to manage software development. Namely, we will use Groovy and Gradle for automating software builds.
The sprint for the following two weeks is structured as follows:
At the end of this page you will find a jargon buster on terms that may be new to you.
The goal for this sprint is a test on agile practices in software development, Groovy and Gradle. The syllabus to be assessed is highlighted in the description of each unit below.
Specific organization details about the test are as follows:
In this unit, we are going to become familiar with the main phases of software development and the principles behind the main software development methodologies.
In the videos below, we are going to focus on:
In this unit, we are going to cover the basics of Groovy's syntax so as to be able to read and write Gradle build scripts.
For doing formative and assessed coursework, set up your own private as explained in the tooling section. Once your private repository is set up, do the following exercise:
Solutions to exercises will be posted under this folder on GitHub as projects with the name ${ExerciseName}_solution
.
In this unit, we are going to focus on automating software builds with Gradle based on what we have learnt about software development methodologies and Groovy.
In particular, when going through Pluralsight resources, we are going to focus on:
Solutions to exercises will be posted under this folder on GitHub as projects with the name ${ExerciseName}_solution
.
| term | definition | source |
|---|---|---|
| software development methodology | A methodology specifies the process to be executed, usually as a set of related activities, tasks and/or techniques, together with the work products that must be manipulated (created, used or changed) at each moment and by whom, possibly including models, documents and other inputs and outputs. In turn, specifying the models that must be dealt with implies defining the basic building blocks that should be used to construct. | wikipedia |
| sprint | A sprint (or iteration) is the basic unit of development in Scrum. The Sprint is a timeboxed effort; that is, it is restricted to a specific duration. The duration is fixed in advance for each Sprint and is normally between one week and one month, with two weeks being the most common. | wikipedia |
| sprint backlog | The sprint backlog is a list of tasks to be completed during the sprint. | mountaingoatsoftware |
| software build | Process of automating the creation of a software build and the associated processes including: compiling computer source code into binary code, packaging binary code, and running automated tests. | wikipedia |


neonUtilities: Utilities for Working with NEON Data
NEON data packages can be accessed through the NEON Data Portal <http://data.neonscience.org>
or through the NEON Data API (see <http://data.neonscience.org/data-api> for documentation). Data delivered from
the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files
can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting
data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and
converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=neonUtilities
to link to this page.


Automation 4 unicode.lua
From Aegisub Manual
The unicode.lua include for Automation 4 Lua contains various helper functions for working with UTF-8 encoded text.
Contents |
unicode.charwidth
Synopsis: width = unicode.charwidth(instring, index)
Returns the number of bytes occupied by the UTF-8 encoded character starting at position index
in instring
. The character pointed to is assumed to be a prefix byte.
The index
parameter is optional, it defaults to 1 (one) when left out, meaning the width of the first character in instring
will be returned.
unicode.chars
Synopsis: for char = unicode.chars(instring) do ... end
Returns an iterator function for looping over all characters in the given UTF-8 encoded string. For each iteration of the loop, char
will contain a string representing the next character in the string.
unicode.len
Synopsis: length = unicode.len(instring)
Determine the length of the given UTF-8 encoded string.
Be aware that this function does not run in constant time, but in linear time (O(N)) proportional to the number of Unicode characters in instring
.
unicode.codepoint
Synopsis: val = unicode.codepoint(instring)
Calculate the Unicode codepoint for the first character in instring
.
| Overview: |
Automation Manager • Running macros • Using export filters • Standard macros • Changes from Automation 3 • Moving from Automation 3 |
|---|---|
| Karaoke Templater reference: |
Declaring templates • Execution order • Modifiers • Inline-variables ($-variables) • Code lines and blocks • Execution envirionment |
| Lua reference: |
Registration • Subtitles object • Progress reporting • Config dialogues • Misc. APIs • karaskel.lua • utils.lua • unicode.lua • cleantags.lua |
| Karaskel concepts: |
Style tables • Dialogue line tables • Syllable tables • Inline effects • Furigana |


pymilvus Search Results¶
Module Contents¶
-
class
milvus.client.abstract.
TopKQueryResult
(raw_source, **kwargs)[source]¶ Bases:
object
TopK query results, shown as 2-D array
This Class unpack response from server, store ids and distances separately.
-
property
distance_array
¶ Distance array, it's a 2-D array
-
property
id_array
¶ Id array, it's a 2-D array.
-
property
raw
¶ getter. return the raw result response
-
property
shape
¶ getter. return result shape, format as (row, column).
-
property
How to deal with search results¶
- We provide two ways to deal with results. For examples, when you want to get result which position is (i, j), id and distance can be visited by:
id = results[i][j].id
,distance = results[i][j].distance
id = results.id_array[i][j]
,distance = results.distance_array[i][j]
And you can ergodic whole results by:
>>> for row in results:
>>> for item in row:
>>> print("id={}, distance={}".format(item.id, item.distance))
or
>>> for id_list, dis_list in zip(results.id_array, results.distance_array):
>>> for id, dis in zip(id_list, dis_list):
>>> print("id={}, distance={}".format(id, dis))
We test the two way and record process time. Note that we comment print(...)
sentence when testing. In situation of searching with nq=10000 and topk=1000, the first way cost about 8.88s and second way only 0.37s. If you want your program to run faster, the second way is recommended.


cursor
/dev/draw
cover
Notes:
Capture cursor: double-click.
Middle mouse button click: hold Ctrl key and click.
Right mouse button click: hold Win (or Cmd) key and click.


Hey, that's a nice form and you should use it.
We would be more than happy to chat with you.
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general<EMAIL_ADDRESS>support<EMAIL_ADDRESS>P:<PHONE_NUMBER> F:<PHONE_NUMBER>
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This sleep tracker is a unique chance for you to get to get to know your own sleepy self! We take your mood into account and curate a bedtime that not only helps improve your mood, but also your sleep habits.
Did you know that good sleep can improve concentration and productivity?
With this app, you can factor in into account your mood, sleep and bedtime to help curate better sleeping habits.
This is possible when you give us the information and remember, honesty is the best policy!
The more thorough and often you track your sleep with us, the better we’re able to make recommendations!


Plai
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software
You can find below a recap of the most meaningful software I have developed so far. I am a lazy programmer (in the meaning adopted by the pragmatic programmer) and rather than copying and pasting a bunch of names and links from github I decided to generate the list dinamically from my github profile. To do this I found a starting point in the good work by George MacKerron. My version slightly modifies the original code to obtain only selected repositories. Find the original project on George's repo, and the modified one on mine blog repo, which by the way is listed below ;).
To read more documentaion about each project, and visualise the full code, just click on the project name and you will be redirected to the Github repo.
For some of those package you can also find detailed descriptions and tutorials within the blog posts.


markdown-it
demo with Eclipse CHE action syntax
html
xhtmlOut
breaks
linkify
typographer
highlight
CommonMark strict
clear
permalink
--- __CHE actions syntax inside markdown__ --- # h1 [action, id="open-file", path="/path", line=30] Heading 8-) ## h2 [action, id="open-file", path="/path", line=30] Heading ### h3 [action, id="open-file", path="/path", line=30] Heading #### h4 [action, id="open-file", path="/path", line=30] Heading ##### h5 [action, id="open-file", path="/path", line=30] Heading ###### h6 [action, id="open-file", path="/path", line=30] Heading [action, id="open-file", path="/path", line=30] ## Horizontal Rules [action, id="open-file", path="/path", line=30] ___ --- *** ## Typographic replacements Enable typographer option to see result. (c) (C) (r) (R) (tm) (TM) (p) (P) +- test.. test... test..... test?..... test!.... !!!!!! ???? ,, -- --- "Smartypants, [action, id="open-file", path="/path", line=30] double quotes" and 'single quotes' ## Emphasis **This is bold text [action, id="open-file", path="/path", line=30]** __This is bold [action, id="open-file", path="/path", line=30] text__ *This is italic text [action, id="open-file", path="/path", line=30]* _This is italic text [action, id="open-file", path="/path", line=30]_ ~~Strikethrough [action, id="open-file", path="/path", line=30]~~ ## Blockquotes > Blockquotes can also be nested [action, id="open-file", path="/path", line=30]... >> ...by using additional greater-than signs right next to each [action, id="open-file", path="/path", line=30] other... > > > ...or with spaces between arrows [action, id="open-file", path="/path", line=30]. ## Lists Unordered + Create a list by [action, id="open-file", path="/path", line=30] starting a line with `+`, `-`, or `*` + Sub-lists are made by indenting 2 spaces: - Marker character [action, id="open-file", path="/path", line=30] change forces new list start: * Ac tristique [action, id="open-file", path="/path", line=30] libero volutpat at + Facilisis in pretium nisl aliquet [action, id="open-file", path="/path", line=30] - [action, id="open-file", path="/path", line=30]Nulla volutpat aliquam velit + Very easy [action, id="open-file", path="/path", line=30]! Ordered 1. Lorem ipsum dolor sit amet [action, id="open-file", path="/path", line=30] 2. Consectetur adipiscing elit [action, id="open-file", path="/path", line=30] 3. Integer molestie lorem at massa [action, id="open-file", path="/path", line=30] 1. You can use sequential numbers [action, id="open-file", path="/path", line=30]... 1. ...or keep all the numbers as [action, id="open-file", path="/path", line=30] `1.` Start numbering with offset: 57. foo [action, id="open-file", path="/path", line=30] 1. bar [action, id="open-file", path="/path", line=30] ## Code Inline `code` Indented code // Some comments line 1 of code [action, id="open-file", path="/path", line=30] line 2 of code line 3 of code Block code "fences" ``` Sample text here... ``` Syntax highlighting ``` js var foo = function (bar) { return bar++; }; console.log(foo(5)); ``` ## Tables | Option | Description | | ------ | ----------- | | data | path to data files to supply the data that will be passed into templates. [action, id="open-file", path="/path", line=30] | | engine [action, id="open-file", path="/path", line=30] | engine to be used for processing templates. Handlebars is the default. | | ext | extension to be used for dest files. [action, id="open-file", path="/path", line=30] | Right aligned columns | Option [action, id="open-file", path="/path", line=30] | Description [action, id="open-file", path="/path", line=30] | | ------:| -----------:| | data [action, id="open-file", path="/path", line=30] | path to data files to supply the data that will be passed into templates. | | engine [action, id="open-file", path="/path", line=30] | engine to be used for processing templates. Handlebars is the default. | | ext [action, id="open-file", path="/path", line=30] | extension to be used for dest files. | ## Links [link text](http://dev.nodeca.com) [action, id="open-file", path="/path", line=30] [link with title](http://nodeca.github.io/pica/demo/ "title text!") Autoconverted link https://github.com/nodeca/pica (enable linkify to see) ## Images ![Minion](https://octodex.github.com/images/minion.png) [action, id="open-file", path="/path", line=30] ![Stormtroopocat](https://octodex.github.com/images/stormtroopocat.jpg "The Stormtroopocat") Like links, Images also have a footnote style syntax ![Alt text][id] With a reference later in the document defining the URL location: [id]: https://octodex.github.com/images/dojocat.jpg "The Dojocat" ## Plugins The killer feature of `markdown-it` is very effective support of [syntax plugins](https://www.npmjs.org/browse/keyword/markdown-it-plugin). ### [Emojies](https://github.com/markdown-it/markdown-it-emoji) > Classic markup: :wink: :crush: :cry: :tear: :laughing: :yum: > > Shortcuts (emoticons): :-) :-( 8-) ;)[action, id="open-file", path="/path", line=30] see [how to change output](https://github.com/markdown-it/markdown-it-emoji#change-output) with twemoji. ### [Subscript](https://github.com/markdown-it/markdown-it-sub) / [Superscript](https://github.com/markdown-it/markdown-it-sup) - 19^th^ [action, id="open-file", path="/path", line=30] - H~2~O ### [\<ins [action, id="open-file", path="/path", line=30] >](https://github.com/markdown-it/markdown-it-ins) ++Inserted text++ ### [\<mark [action, id="open-file", path="/path", line=30]>](https://github.com/markdown-it/markdown-it-mark) ==Marked text [action, id="open-file", path="/path", line=30]== ### [Footnotes](https://github.com/markdown-it/markdown-it-footnote) Footnote 1 link[^first] [action, id="open-file", path="/path", line=30]. Footnote 2 link[^second] [action, id="open-file", path="/path", line=30]. Inline footnote^[Text of inline footnote] definition. Duplicated footnote reference[^second]. [^first]: Footnote **can have markup** and multiple paragraphs. [^second]: Footnote text. [action, id="open-file", path="/path", line=30] ### [Definition lists](https://github.com/markdown-it/markdown-it-deflist) Term 1 [action, id="open-file", path="/path", line=30] : Definition 1 with lazy continuation. [action, id="open-file", path="/path", line=30] Term 2 with *inline markup* : Definition 2 [action, id="open-file", path="/path", line=30] { some code, part of Definition 2 } [action, id="open-file", path="/path", line=30] Third paragraph of definition 2.  It converts "HTML", but keep intact partial entries like "xxxHTMLyyy" and so on. *[HTML]: Hyper Text Markup Language ### [Custom containers](https://github.com/markdown-it/markdown-it-container) ::: warning *here be dragons* [action, id="open-file", path="/path", line=30] ::: [action, id]
html
source
debug


Black Marketeer of Mammon:
The cost is high if you wish to keep the ancient Adena from corroding. I'm sure you won't like it, but you must pay 4 times the normal cost. Also, we only see in bundles of 500,000 ancient Adena.
To make sure the ancient currency is spread widely, we have limited the amount that an individual can buy per day.
Have you decided to buy?
Exchange 2,000,000 Adena for 500,000 ancient Adena
Back


{% extends 'base.html' %} {% block content %}
location: {{hood.location}}
posted by: {{hood.user.user | title}}


Installation
Usage
Structural directives
Pipes
Pipes with poetry
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This is visible because user has ROLE_1
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This is visible because user has ROLE_1 or ROLE_2
This is visible because user has ROLE_1 and ROLE_2


- Pros
- Rechargeable
- Useful Modes
- Compact
- Long battery life
- Cons
- Comes loose easily
- No over head strap
I bought this Sunix headtorch from Amazon.co.uk in the summer of 2015 for roughly £16, I have used it almost daily since that time while jogging, camping and hiking at night. I chose this headtorch mainly because it was the cheapest rechargeable headtorch I could find, but since purchase the durability and performance of the product has constantly surprised me.
Build Quality
The standard of the materials used in the construction point to an origin somewhere in China, that is to say they aren’t the highest quality; the strap feels like very cheap plastic, as does the headtorch itself. After some Googling I found that “Sunix” doesn’t appear to have a website, and the same model can be seen branded as a “Shuofang Spower” elsewhere. This probably means that you shouldn’t expect much to come from the lifetime warranty guaranteed on the Amazon page, but the good news is that it seems to function well enough that you shouldn’t need to find out!
The LEDs, buttons, water-resistant seals, charging port and peripheral bag and charging cable are all of acceptable, if somewhat lacking quality, but nothing has broken in two years of near constant use. I have exposed the IPX 6 sealing of the unit to many a rain, sleet and snow shower while jogging and hiking, but nothing seems to have penetrated, and the LEDs are still working.
Design
The physical design of the unit is fairly nice, the single button gives a satisfying click and springy response, navigating the modes with different clicking patterns is very easy indeed, as well as being simple enough to memorise straight away. For me, the one thing the design is missing is an over head strap, just to make it that bit more secure, because the lateral strap can works itself loose quite fast when you’re running.
The unit features a bright, 120 lumen spotlight mode, with a 50 lumen floodlight setting for normal use around camp, both of these can be set to strobe with three successive button clicks. The red night light mode is bright enough to perform any tasks around camp without ruining your night vision, a must for any stargazers, and very handy if the inside of your tent is white or reflective. There are also charging and over-discharging warning lights to let you know when you might be damaging the life of the battery.
I’m constantly surprised by the length of burn time I can get out of the battery, if I use it an hour a day jogging in the evening, with the odd camp thrown in, I probably charge it once every 2 months, sometimes longer. The provided 4 inch micro USB charging cable weighs roughly 10 grams so you can carry it everywhere, just in case you need a boost on the trail. Micro USB means you can pack just one cable to charge your phone and headtorch!
The torch, strap and charging cable all pack down to a handy pocket sized lump in the provided black dry bag. Everything packed weighs only 119 grams (4.2 ounces) so it’s no hassle to throw in any coat or bag, even on longer trips.
Alternatives
Alternatives to the Sunix 120 within the same price range seem to be either unbranded cheap tat, require normal AAA batteries, require you to buy separate rechargeable batteries or weigh a lot more.
Petzl are generally regarded as the top dog in the world of headtorches but that comes with a bump in price, the Petzl Tikka matches the functionality of the Sunix but you’ll have to drop a further £20 on top of the ~£20 unit cost if you want a rechargeable battery pack.
Final Thoughts
The Sunix, although a bit tacky on first impressions, is astonishingly good value for what is a very handy and feature-laden item. It’s served me well over nearly two years of jogging in all weather as well as being handy to read by in a tent. I don’t think you can find a better headtorch for less than £25, let alone £16, it’s the outdoor gear holy grail; light, compact, cheap, reliable, convenient. I have since bought a second one for my father to use in the garage/under cars, he is sold on it too.
Rating: 4/4
At this price, this is the best head torch I’ve seen.


Salt Lake City Devs
Salt Lake City Developers exists for anyone interested in or practicing software development, programming & general tech geekiness. We are a language, skill, and platform agnostic community built to promote the learning and development of the greater salt lake area's tech community, and having a fun time doing it.
Whether you're an expert, or just getting started, we hope you'll join us.


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The world environment is going too much worst condition day by day as we use our natural recourses indiscriminately and fail to manage our waste. Our total environmental condition deteriorate in everyday life but we yet not concern ourselves for save us from different types of natural calamities and extinction of several types of animals spaces groups, it is true that only human are responsible for polluting environmenrt, but if we have a little bit concern than it will make us positive thinker to save our environment.
Population explosion:
The first and foremost emerging problem in the world is population explosion that directly impact in our environment and every vital element of our environment such like water Tree,air,and many other things . It causes poverty inflation of money, high price rate of daily commodities and creates thousands of problems which are too hard to solve us. On the other hand for being increased population growth we destroy our valuable natural resources and make a devastated impact for ourselves.
Increase of CFC”s in air:
For the lacking of Trees and forest area CFC’S are increasing day by day for this reasons worlds temperature are increasing which directly impact to melt polar ice caps and rise of sea levels which causes undergoing our firm land into the water that directly impact a negative effect on our environment.
It is true that by running or establishing an atomic project which causes huge carbon dioxide gas in our environment though it’s a beneficiary side to create huge amount of energy but it has hundreds of harmful sides yet people of the rich country run these projects rather to stop the project as a result we can easily notice the intensiveness of natural calamities at present year comparing the past year.
 Open waste pollute our environment as well as our surroundings but everyone know about the bad effect of waste but do not take immediate steps to save their living area .
At present the real situation are so dangerous that we hardly think because not only our land area but also our vast sea level area are polluted extremely, for this reasons our sea water get polluted and produce huge amount of toxic chemicals and that chemical fall a harmful effect in our sea living species . The industrial waste mismanagement is the main responsible for this huge area pollution. If we can manage our industrial waste than we can save our sea level area as well our environment as we know sea is the big source of human food so it s a necessary duty to save our see as much as possible.
Immense industrial growth:
As people are increasing rapidly and for that people need work place and for this reasons immense industry grow everywhere rather to think environment save .Though industry plays an important rules to rapid grow our economy but excessive industry set up run a negative impact on our environment. A proper management of industrial growth can bring us a better output in our economy and our environment.
Every government should impose a law so that industrial waste cannot get mixed in our river, cannel, and see water as water is a valuable element in our environment, on the other hand chemical produce industry should not allow near the river side area to save our environment.
It is true that emitting smoke from the industry also causes air pollution and for this we should take proper steps so that our air cannot get excessively polluted by industrial fume.
Virus attack into human body:
Now invention of new virus are the common phenomenon in our world , if we notice several virus take human life like Ebola virus and Jika virus , at first that virus create in nature and than predominate in human body. Researcher say that this types of virus can grow for increasing of carbon dioxide in our environment as we excessively increase carbon oxide in our environment by burning oil and our valuable forest.
Virus affect human body not only increases of carbon di oxide but also use of toxic chemical in our food growing field. Recently Ebola virus took thousands of lives in Africa region which broke out an epidemic shape.
Destroy forest:
Destruction of forest is the main reason for create environmental problem, it is the root cause of increase of carbon di oxide in our environment and that increased level carbon di oxide create several types of natural disaster in every year. At present the number of disaster are gradually increasing in a year and make irrecoverable loss which destroy thousands of human lives and create economic loss of the affected country
For being save ourselves we should save our environment so that we can save our future generation if world temperature is increasing like present situation than our land area must go under water so we should aware immediately before situation going out of control .


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Accounts with Passwords Cached on the RODC
All too often, we visit customers and see that RODCs are configured to enable storing passwords for a larger number of accounts than required – often by configuring “Authenticated Users” or “Domain Users” to store passwords on RODCs. This is not a good idea since, based on what we’ve seen, a large number of users in the environment will end up with their password being cached on the RODCs with this configuration.
This configuration typically results in most domain accounts having stored passwords on RODC(s). While the password stored on the RODC may not be the current one, this is still a risk. Normally, the user/computer needs to authenticate to the RODC before the password is cached. There is another way though. An administrator can pre-populate account passwords on a RODC if those accounts are allowed to be cached.
Let’s look at accounts with passwords on a RODC…
The computer properties GUI in Active Directory Users & Computers shows the list of accounts on the RODC
Enumerating the ‘msds-RevealUsers’ attribute on the RODC computer object in Active Directory, we can view the list of accounts (users and computers) with passwords stored on the RODC. In the graphic below, there’s a string of data before the actual account distinguished name. The RODC seems to track each authentication and password separately.
B:96:A000090002000000673C531003000000B2D8290BE48E5C40A6ACCBA445CBC36B7D3B0000000000007D3B000000000000:CN=Han Solo,OU=Accounts,DC=lab12,DC=adsecurity,DC=org
B:96:7D00090001000000673C531003000000B2D8290BE48E5C40A6ACCBA445CBC36B7E3B0000000000007E3B000000000000:CN=Han Solo,OU=Accounts,DC=lab12,DC=adsecurity,DC=org
B:96:5E00090002000000673C531003000000B2D8290BE48E5C40A6ACCBA445CBC36B7D3B0000000000007D3B000000000000:CN=Han Solo,OU=Accounts,DC=lab12,DC=adsecurity,DC=org
B:96:5A00090002000000673C531003000000B2D8290BE48E5C40A6ACCBA445CBC36B7D3B0000000000007D3B000000000000:CN=Han Solo,OU=Accounts,DC=lab12,DC=adsecurity,DC=org
B:96:3700090002000000673C531003000000B2D8290BE48E5C40A6ACCBA445CBC36B7D3B0000000000007D3B000000000000:CN=Han Solo,OU=Accounts,DC=lab12,DC=adsecurity,DC=org
Using PowerShell, we can remove the initial string of characters shown before the account distinguished name so that only the account Distinguished Name is displayed (and remove duplicates)
<RODC>.'msDS-RevealedUsers' | % {(_-split(':'))[3]} | sort | sort -Unique
This list of accounts have their passwords stored on the RODC. This list includes users and computer accounts which means if we can gain admin access to the RODC, we can steal these credentials and use them. The computer password hash can be used to create Silver Tickets to gain full admin rights on the computer. If we have admin accounts in this list, we can leverage this access to jump to other systems.
Let’s find out who has admin rights on the RODC by looking at the RODC’s ManagedBy attribute. Compromising one of these accounts provides an escalation path to gaining access that accounts with stored passwords have.
Get-ADGroupMember <RODC>.ManagedBy
There also may be service account credentials on the RODC, especially if they are delegated rights to Active Directory without using the default AD administration groups (which is a best practice). Any service accounts with privileged rights should be added to a group which is configured to prevent member account passwords from being cached on RODCs. If this isn’t done and the RODC(s) is allowed to cache all account passwords (Authenticated Users or Domain Users), then highly privileged accounts could have passwords cached on the RODC(s).
In this scenario, we find there is a service account password stored on a RODC.
The first result is “CN=AccountProvisioning,OU=AD Management,DC=lab12,DC=adsecurity,DC=org”, so let’s see what that is.
Get-ADUser 'CN=AccountProvisioning,OU=AD Management,DC=lab12,DC=adsecurity,DC=org' -prop MemberOf
This account is not a member of any group. So let’s check to see if it has any rights to AD objects using the PowerView function “Invoke-ACLScanner”.
PowerView is a PowerShell recon tool written by Will Schroeder (@Harmj0y) and is part of PowerSploit.
Invoke-ACLScanner | where {$_IdentityReference -match 'svc-ActPrv'}
The results of Invoke-ACLScanner shows us that the svc-ActPrv service account has full control (“GenericAll”) rights to the Accounts & Groups OUs in the domain. Control of this one account provides full control on accounts and groups in the domain.
Let’s see what groups are in the Groups OU.
Get-ADGroup -filter * -SearchBase 'OU-Groups,DC=lab12,DC=adsecurity,DC=org'
We can check to see if the Server Admins group is added to any computer local group via GPO using PowerView’s “Get-NetGPOGroup”
The Server Admins group is automatically added to the local Administrators group on all computers in the Servers OU by the Add Server Admins to Local Administrators GPO.
So, by gaining access to the RODC, we now have full control of accounts and groups as well as admin rights to all servers in the Servers OU (through the ability to modify the Server Admins group membership).