Distributed communication package - torch.distributed¶
torch.distributed provides an MPI-like interface for exchanging tensor data across multi-machine networks. It supports a few different backends and initialization methods.
Currently torch.distributed supports three backends, each with different capabilities. The table below shows which functions are available for use with CPU / CUDA tensors. MPI supports cuda only if the implementation used to build PyTorch supports it.
| Backend | tcp |
gloo |
mpi |
|||
|---|---|---|---|---|---|---|
| Device | CPU | GPU | CPU | GPU | CPU | GPU |
| send | ✓ | ✘ | ✘ | ✘ | ✓ | ? |
| recv | ✓ | ✘ | ✘ | ✘ | ✓ | ? |
| broadcast | ✓ | ✘ | ✓ | ✓ | ✓ | ? |
| all_reduce | ✓ | ✘ | ✓ | ✓ | ✓ | ? |
| reduce | ✓ | ✘ | ✘ | ✘ | ✓ | ? |
| all_gather | ✓ | ✘ | ✘ | ✘ | ✓ | ? |
| gather | ✓ | ✘ | ✘ | ✘ | ✓ | ? |
| scatter | ✓ | ✘ | ✘ | ✘ | ✓ | ? |
| barrier | ✓ | ✘ | ✓ | ✓ | ✓ | ? |
Basics¶
The torch.distributed package provides PyTorch support and communication primitives
for multiprocess parallelism across several computation nodes running on one or more
machines. The class torch.nn.parallel.DistributedDataParallel()
builds on this
functionality to provide synchronous distributed training as a wrapper around any
PyTorch model. This differs from the kinds of parallelism provided by
Multiprocessing package - torch.multiprocessing and torch.nn.DataParallel()
in that it supports
multiple network-connected machines and in that the user must explicitly launch a separate
copy of the main training script for each process.
In the single-machine synchronous case, torch.distributed or the
torch.nn.parallel.DistributedDataParallel()
wrapper may still have advantages over other
approaches to data-parallelism, including torch.nn.DataParallel()
:
- Each process maintains its own optimizer and performs a complete optimization step with each iteration. While this may appear redundant, since the gradients have already been gathered together and averaged across processes and are thus the same for every process, this means that no parameter broadcast step is needed, reducing time spent transferring tensors between nodes.
- Each process contains an independent Python interpreter, eliminating the extra interpreter overhead and “GIL-thrashing” that comes from driving several execution threads, model replicas, or GPUs from a single Python process. This is especially important for models that make heavy use of the Python runtime, including models with recurrent layers or many small components.
Initialization¶
The package needs to be initialized using the torch.distributed.init_process_group()
function before calling any other methods. This blocks until all processes have
joined.
-
torch.distributed.
init_process_group
(backend, init_method='env://', **kwargs)[source]¶ Initializes the distributed package.
Parameters: - backend (str) – Name of the backend to use. Depending on build-time configuration
valid values include:
tcp
,mpi
andgloo
. - init_method (str, optional) – URL specifying how to initialize the package.
- world_size (int, optional) – Number of processes participating in the job.
- rank (int, optional) – Rank of the current process.
- group_name (str, optional) – Group name. See description of init methods.
To enable
backend == mpi
, PyTorch needs to built from source on a system that supports MPI.- backend (str) – Name of the backend to use. Depending on build-time configuration
valid values include:
-
torch.distributed.
get_rank
()[source]¶ Returns the rank of current process.
Rank is a unique identifier assigned to each process within a distributed group. They are always consecutive integers ranging from 0 to
world_size
.
-
torch.distributed.
get_world_size
()[source]¶ Returns the number of processes in the distributed group.
Currently three initialization methods are supported:
TCP initialization¶
There are two ways to initialize using TCP, both requiring a network address
reachable from all processes and a desired world_size
. The first way
requires specifying an address that belongs to the rank 0 process. This first way of
initialization requires that all processes have manually specified ranks.
Alternatively, the address has to be a valid IP multicast address, in which case
ranks can be assigned automatically. Multicast initialization also supports
a group_name
argument, which allows you to use the same address for multiple
jobs, as long as they use different group names.
import torch.distributed as dist
# Use address of one of the machines
dist.init_process_group(init_method='tcp://<IP_ADDRESS>:23456', rank=args.rank, world_size=4)
# or a multicast address - rank will be assigned automatically if unspecified
dist.init_process_group(init_method='tcp://[ff15:1e18:5d4c:4cf0:d02d:b659:53ba:b0a7]:23456',
world_size=4)
Environment variable initialization¶
This method will read the configuration from environment variables, allowing one to fully customize how the information is obtained. The variables to be set are:
MASTER_PORT
- required; has to be a free port on machine with rank 0MASTER_ADDR
- required (except for rank 0); address of rank 0 nodeWORLD_SIZE
- required; can be set either here, or in a call to init functionRANK
- required; can be set either here, or in a call to init function
The machine with rank 0 will be used to set up all connections.
This is the default method, meaning that init_method
does not have to be specified (or
can be env://
).
Groups¶
By default collectives operate on the default group (also called the world) and
require all processes to enter the distributed function call. However, some workloads can benefit
from more fine-grained communication. This is where distributed groups come
into play. new_group()
function can be
used to create new groups, with arbitrary subsets of all processes. It returns
an opaque group handle that can be given as a group
argument to all collectives
(collectives are distributed functions to exchange information in certain well-known programming patterns).
-
torch.distributed.
new_group
(ranks=None)[source]¶ Creates a new distributed group.
This function requires that all processes in the main group (i.e. all processes that are part of the distributed job) enter this function, even if they are not going to be members of the group. Additionally, groups should be created in the same order in all processes.
Parameters: ranks (list[int]) – List of ranks of group members. Returns: A handle of distributed group that can be given to collective calls.
Point-to-point communication¶
-
torch.distributed.
recv
(tensor, src=None)[source]¶ Receives a tensor synchronously.
Parameters: Returns: Sender rank.
isend()
and irecv()
return distributed request objects when used. In general, the type of this object is unspecified
as they should never be created manually, but they are guaranteed to support two methods:
is_completed()
- returns True if the operation has finishedwait()
- will block the process until the operation is finished.is_completed()
is guaranteed to return True once it returns.
When using the MPI backend, isend()
and irecv()
support non-overtaking, which has some guarantees on supporting message order. For more detail, see
http://mpi-forum.org/docs/mpi-2.2/mpi22-report/node54.htm#Node54
Collective functions¶
-
torch.distributed.
broadcast
(tensor, src, group=<object object>)[source]¶ Broadcasts the tensor to the whole group.
tensor
must have the same number of elements in all processes participating in the collective.Parameters:
-
torch.distributed.
all_reduce
(tensor, op=<object object>, group=<object object>)[source]¶ Reduces the tensor data across all machines in such a way that all get the final result.
After the call
tensor
is going to be bitwise identical in all processes.Parameters: - tensor (Tensor) – Input and output of the collective. The function operates in-place.
- op (optional) – One of the values from
torch.distributed.reduce_op
enum. Specifies an operation used for element-wise reductions. - group (optional) – Group of the collective.
-
torch.distributed.
reduce
(tensor, dst, op=<object object>, group=<object object>)[source]¶ Reduces the tensor data across all machines.
Only the process with rank
dst
is going to receive the final result.Parameters: - tensor (Tensor) – Input and output of the collective. The function operates in-place.
- op (optional) – One of the values from
torch.distributed.reduce_op
enum. Specifies an operation used for element-wise reductions. - group (optional) – Group of the collective.
-
torch.distributed.
all_gather
(tensor_list, tensor, group=<object object>)[source]¶ Gathers tensors from the whole group in a list.
Parameters:
-
torch.distributed.
gather
(tensor, **kwargs)[source]¶ Gathers a list of tensors in a single process.
Parameters: - tensor (Tensor) – Input tensor.
- dst (int) – Destination rank. Required in all processes except the one that is receiveing the data.
- gather_list (list[Tensor]) – List of appropriately-sized tensors to use for received data. Required only in the receiving process.
- group (optional) – Group of the collective.


Software features¶
Calibrating the colorimeter¶
(Basic, Plotting, Measure)
Once connected to the hardware, you need to first take a calibration (“blank”) measurement to enable the “Measure” feature of the program. This needs to be done at least once (when you first start to use the program), but it can be done additionally at any time while taking measurements. Typically, a calibration measurement is carried out with a solution which does not contain any of the color you are interested in measuring. It is usually the liquid you used to dissolve or dilute your colored solution. In many cases, this liquid is water. As an example, if you are measuring the absorbance of blue food dye, you will use water to calibrate the color sensor. However, if you are carrying out a colorimetric assay, such as the ammonia assay in Lab 3, then you will calibrate against the assay solution developed with distilled water.
In all cases, the steps are the same:
- Place a cuvette with water (or other “blank” solution) into the device;
- Click on “Calibrate”. The program will display a value of 1.00 for Transmittance and 0.00 for Absorbance on all color channels.
Selecting custom LED boards¶
(Basic, Plotting, Measure)
Use this feature if you are using custom wavelength(s) with LED Board ver B or C. See Optional LED wavelengths
Changing sample rate¶
(Basic, Plotting, Measure)


This website was created to host a number of free to play games which can be used to teach programming.
Source code can be downloaded from here. Please feel free to issue pull requests if you want to provide fixes or additional enhancements.
A fun racer! How many can you get right in 60seconds?
How many letters are used in your phrase?


{% for h in toc %}
{% endfor %}
{% endblock toc %}
{% block content %}
Overview
{{ section.content | safe }}
{% endblock content %}
{% import "_macros.html" as macros %}
Tab
or Space
to activate
the search bar. Then enter any word you want to search, the extension will response
the related search results instantly.


Suzie COBOL
`Prev `__
S
`Next `__
--------------
**Suzie COBOL**: /soo´zee koh´bol/
1. [IBM: prob.: from Frank Zappa's ‘Suzy Creamcheese’] n. A coder
straight out of training school who knows everything except the value of
comments in plain English. Also (fashionable among personkind wishing to
avoid accusations of sexism) ‘Sammy Cobol’ or (in some non-IBM circles)
‘Cobol Charlie’.
2. [proposed] Meta-name for any `*code
grinder* <../C/code-grinder.html>`__, analogous to `*J. Random
Hacker* <../J/J--Random-Hacker.html>`__.
--------------
+-------------------------+----------------------------+-------------------------+
| `Prev `__ | `Up <../S.html>`__ | `Next `__ |
+-------------------------+----------------------------+-------------------------+
| surf | `Home <../index.html>`__ | swab |
+-------------------------+----------------------------+-------------------------+


Keep reloading this page until the error occures. Most likely only happens on fast machines. When the machine is able to send two Ajax requests in the same millisecond then the second request may be answered by the browser cache which is not the desired behavior when the cache=false option of jQuery is used.


Uh oh, Something wrong has happened!
Please ensure your URL, user name and password is correct and retry
If the issue persists, please file an issue at github


Tooltips are used to describe elements that are interactive and primarily graphical (not textual).
Place a <md-tooltip>
as a child of the element it describes.
A tooltip will activate when the user focuses, hovers over, or touches the parent.
| Parameter | Type | Description |
|---|---|---|
md-visible
expression
|
expression |
Boolean bound to whether the tooltip is currently visible. |
md-delay
number
|
number |
How many milliseconds to wait to show the tooltip after the user focuses, hovers, or touches the parent. Defaults to 400ms. |
md-direction
string
|
string |
Which direction would you like the tooltip to go? Supports left, right, top, and bottom. Defaults to bottom. |
md-autohide
boolean
|
boolean |
If present or provided with a boolean value, the tooltip will hide on mouse leave, regardless of focus |


--- layout: blog_entry image: title: Portrait Photography Belmar ---
I was out doing a portrait at the Belmar shopping center in Lakewood Colorado. The shoot was with natural light only.


Game Development Spaces
This is a list of all the game development spaces around the world. A game development space is a physical space where game developers co-work or socialize.
USA
-
Buffalo, New York, USA
-
Chicago, Illinois, USA
-
San Francisco, California, USA
-
Los Angeles, California, USA
-
Philadelphia, Pennsylvania, USA
-
Louisville, Kentucky, USA
World
-
Brighton, UK
-
Utrecht, Netherlands
-
Toronto, Ontario, Canada
Add a Space
Can't find your favorite space on the list? Send a pull request to add it!


Thread is an IPV6-based,royalty-free networking protocol for Internet of Things (Iot). This protocol is mainly used on “smart” home automation devices to communicate on a local wireless mesh network. Thread uses 6LoWPAN, which in turn uses the IEE 802.15.4 wireless protocol.
The Thread stack contains several layers as shown on the figure below:
The Thread stack running on the STM32WB device is provided by OpenThread and available at : https://github.com/openthread/openthread
OpenThread released by Nest is an open-source implementation of the Thread networking protocol. To learn more about this stack, refer yourself to the following link: https://openthread.io
OpenThread version based on commit :
SHA1 222acd1362af9f5b58bae9d246fe5492c38e7b14.
To support MTD (Minimal Thread Device), on top of above version, the following OpenThread commit has been applied: “facd343: [meshcop] support operational dataset operations for MTD”. (This commit is mandatory for the support of MTD)


Frequenty Asked Questions
This includes advertising, branding, website design and other digital services, as well as design for print. Ultimately, we help to build brand value and make each business stronger and more profitable.
We take great pride in delivering an excellent level of service at all times. We listen carefully to what our clients want to achieve and work closely with them to make sure their objectives are met.
Our clients tell us they like our style and approach: clear lines of communication, a single point of contact and work of a consistently high standard – all delivered under the watchful eye of Megan, our Creative Director. What’s more, we offer excellent value for your money and have a portfolio to be proud of.
We understand, money doesn't grow on trees, so knowing what this will cost is crucial in determining who you choose as your design agency.
Great design is an investment, it is something that takes dedication and time and because all projects are different from each other, there is not a standard set price for our work. We create custom, value-based proposals for all projects because every client is unique and has different needs. We often ask our clients what their budget is to determine what we can offer for services that will fit within this budget.
 We like to provide a range for our pricing as projects differ from each other and what is needed. We are not a "$5 logo" kind of studio. We do not believe that the budget logo will benefit your business in anyway and can often hurt your image.
Our pricing is based on the time we invest into your company. Our projects start with days in research and strategy. We then collaborate with you on a custom Pinterest board and create mood boards to set the tone. From that point, we spend weeks in design mode, creating custom concepts and brand applications for you to review. Our websites also receive tons of love and attention as we create custom sites in Adobe XD that are then built in Squarespace or Shopify and are accompanied with a video tutorial we create for you to learn how to edit your new site. So as you can see, we invest our time into your business as if it is our own because nothing is more powerful to us than having our clients share with their family and friends, just how much they enjoyed working with us and how their business has grown since we worked with them.
As a ballpark reference, our pricing is as follows:
Branding Packages - We offer a few options for packages with our
branding to provide you with what you need for your business. Our branding will cost you around
$2000-$6500 for a custom package. Our pricing is also based on the size of your business. We do not
charge small start-ups the same as a large established business due to the fact that their needs are
very different from each other.
Package Design - Our package design is based on an hourly basis as most all clients have different needs. Our hourly rate is $100/hr and in in general, most of our package design work takes around 5-25 hours depending on the complexity of the design work.
Website Design - We design and develop informational based websites, portfolio based sites and online shops. We have a team of talented developers who can customize any site to your needs. Just like our other services, there is a range for our websites as some of our clients require a more complex and custom website. We have a copywriter and photographers to help you develop your content as well. Their pricing would depend on what is needed from them. A general ballpark for a custom website design and build is around $2500-$10,000+ and would depend on what your business requires for functionality, integrations, sales etc.
Discounts - We do offer a discount when you select multiple packages! We do offer other services such as social media design, SEO, product designs, copywriting, photography and more. These would require a custom proposal.
We can tell you one thing, you can’t get your logo next week, we’re sorry but that is not how we roll. We spend a significant amount of time getting to know you and your business. We spend time in research and strategy, in design mode, rounds of feedback and edits, finalizing packages with brand manuals and launching websites, so it all adds up and takes our upmost attention. On average, our projects take around 4-6 weeks yet for larger projects, it can take 2-3 months to complete.
It is crucial that our clients be ready to rock n’ roll when a project kicks off, that means we ask that our clients not sign a contract with us to begin work if they are planning some major life changes as that can hinder the process and workflow. If you are going on vacation (take us with you!), having a baby soon (congrats if you are!) or planning on moving (we hope it is some place warm!), we ask that you wait until we can have your undivided attention for your project.
Well first and foremost, it’s time to celebrate! Not everyone takes branding and web design seriously and often look beyond its importance to find the best deal around. We want you to know you have made a wonderful choice and we want to welcome you to the family. Now, let’s look at what you may need to line up for your upcoming projects with us:
Website - You can gather your content for your project. This means if you have copy already developed, you can set up a Google Doc to share with us. If you need assistance with copywriting, this is a great time to let us know so that we can set that up for you. We will also need your imagery. We prefer you share these by folder so it is easier for us to sort through and share via Google Drive. Website imagery should be around 2600 px wide, any smaller and it will be blurry on larger screens.
If your site is going to be an online shop, it is a great time to square away info such as product pricing, taxes, shipping, weight and dimensions to have ready to go when we request that info. This is also a great time to purchase a domain if you do not have one, set up business email accounts and signup for Stripe and Paypal for your checkout portion of your website. Squarespace and Shopify have built in SSL certificates so you do not need to set this up with your bank.
Branding - We will start with a Pinterest board that we will collaborate on with you so if you wish to start compiling designs you love and hate, that will help us in these beginning stages. With any project, it is important that you understand your target audience. If you are uncertain as to who that is, this is a great time to figure out those things.
Packaging - For package design, we need a dieline to apply our products to. If you have an existing print company you work with, this would be a great time to request dielines, print specifications and other important info we should know about. If you do not have a print company in mind yet, please let us know so that we can put you in touch with ones we recommen
For all of our projects, we require a 50% retainer due at the beginning of a project. If your project is under $500, your invoice will need to be paid in full before we start. From the initial retainer, we then set up a payment schedule as elements of your package are completed. At the end of the project, once the scope of work is complete, we will send your final invoice and then you will receive your deliverables and your website can go live.
If you wish to set up a payment plan, we can accomodate and setup automatic monthly withdrawals. Your project will be broken down into 4 payments with the last payment due before you receive your deliverables or your website goes live.
Of course we do! We love to see your business in person and for our spatial design projects, it is important for us to come to your location for us to work on interior styling, exterior design, mural design and signage. Though it is not mandatory that we see your location before we start designing, we do create our murals in person and our travel time would be factored into your proposa
That is the great thing about technology and things like Zoom Video calls, we can work with any client in any timezone! We have clients in Paris, London, Dubai, Exumas and all over the US. We try our best to work indifferent timezones so do not worry about that! We create websites that feature multiple languages and currencies as well in addition to creating design in multiple languages for your target audiences.


--- layout: snippet title: "Select group" permalink: /examples/forms/select-group/ sitemap: false ---


A UI/UX designer based in Brazil, building beautiful stuff for the beautiful web. Lorem ipsum dolor sit amet consectetur, adipisicing elit. Laborum, eum alias. currently working @airbnb
Rich, sporting black cherry and blackberry flavors, accented by smoke, earth and spice notes. It’s bright, fresh and breezy, with enough richness to the tannins to ground it. The wine’s fine-grained tannins lend it a filigreed appeal, even as those flavors flesh out with notes of dried currant and tomato skin and a firm crushed-granite minerality.
Assertive tannins gird the finish. Jorge Serodio Borges and Sandra Tavares da Silva make two old-vine field blends from their vineyards in the Pinhão Valley’s Vale Mendiz, the epicenter of the Douro region.
Let's Talk


|
LCOM_PROJ
|
This file contains the implementation of the character
More...
#include "character.h"
Functions | |
| void | initialize_character_sprites () |
| function that initizalizes the sprites of the character | |
| Character * | create_character () |
| function that creates the character More... | |
| void | draw_character_running (Character *character, bool move) |
| function that initizalizes the sprites of the character running More... | |
| void | draw_character_jumping (Character *character, bool move) |
| function that initizalizes the sprites of the character jumping More... | |
| void | draw_character_dying (Character *character) |
| function that initizalizes the sprites of the character dying More... | |
| void | draw_character (Character *character, bool move) |
| function that initizalizes the sprites of the character More... | |
| void | destroy_character (Character *character) |
| destroy the object character More... | |
| void | destroy_character_sprites () |
| destroy the sprites of the character | |
This file contains the implementation of the character
| Character* create_character | ( | ) |
function that creates the character
| void destroy_character | ( | Character * | character | ) |
destroy the object character
| character | a pointer to an object of Character |
| void draw_character | ( | Character * | character, |
| bool | move | ||
| ) |
function that initizalizes the sprites of the character
| character | a pointer to an object of Character |
| move | if the character will be moving when drawn |
| void draw_character_dying | ( | Character * | character | ) |
function that initizalizes the sprites of the character dying
| character | a pointer to an object of Character |
| void draw_character_jumping | ( | Character * | character, |
| bool | move | ||
| ) |
function that initizalizes the sprites of the character jumping
| character | a pointer to an object of Character |
| move | if the character will be moving when drawn |


I Will Bring Home Grammy- Burna Boy
by Oyindamola OlubajoWhile fans of wave-making singer, Burna Boy have expressed fears amidst joy about him winning a Grammy award in 2020, he has showed his optimism that he would move past the nomination level.
Concise News reports that Burna Boy was nominated in the Grammy’s World Music category for his album ‘African Giant‘ which was released on Friday, July 26.
Speaking during a recent performance at Livespot X Festival on Saturday, the singer said he is confident that he would bring home the award.
Burna Boy said: “I go carry the Grammy comeback and when I come back, we
go reason.”
I’ll Protest If Burna Boy Does Not Win Grammy, Ara Declares
Since the afro-fusion star bagged awards nomination, some celebrities still can’t hide their joy and one of them is female talking drummer, Araola Akape who said she’ll protest if he does not win.
Ara made this known during a recent Whatsapp chat with Celebrity Diary.
Asked if she feels the singer would win, Ara said “Burna Boy must win the award”
On what she will do if the ‘Ye’ crooner doesn’t win the Grammy, she responded by saying “He has everything working for him; the realms are in his favour. If they don’t give him the award, I will be shocked and I will protest”


Getting Started with Hypar
Here's a short video that explains some of the Hypar concepts that we'll be using in this getting started guide.
Hypar is a cloud platform for generating buildings that makes it easy to publish, distribute, and maintain your building design logic. Rather than requiring web development skills to scale and deliver your design logic, Hypar lets you concentrate on what you want to get done while the platform creates the interface for your audience and provides computation, visualization, delivery, interoperability, and access control for your functions.
Signing up for Hypar
To use the Hypar platform, you're going to need an account. Point your browser to https://hypar.io, and you should see a page that looks like this.
If you don't have an account already, click on the Create a free account button below the logo. That should take you to the Sign Up screen.
Fill in a username, an email address you can access, and the password you'd like to use. Then click on the Sign up button.
Then we do some explaining:
Now check the email account you supplied for a message that looks something like this:
Click on the Verify Email link in the message and you should see a confirmation page:
That's it! You now have a Hypar account. Time to start building some workflows or authoring some functions!


Methods
== (Grid)
== (Sudoku)
[] (Grid)
[]= (Grid)
analyze (Solver)
analyze (Sudoku)
best_problem (Solver)
complete? (Sudoku)
create (TableWindow)
dof (Sudoku)
done? (Solver)
each (Poss)
each_poss (Sudoku)
fillGrid (TableWindow)
first (Poss)
inspect (Grid)
length (Poss)
loadFile (TableWindow)
max_poss (Sudoku)
min_depth (Sudoku)
min_poss (Poss)
nb_problems (Solver)
new (TableWindow)
new (Poss)
new (Solver)
new (Sudoku)
new (Step)
new (Grid)
number_cols (Grid)
number_of (Grid)
number_rows (Grid)
onCmdAnalyze (TableWindow)
onCmdOpen (TableWindow)
onCmdReload (TableWindow)
onCmdReset (TableWindow)
onCmdSaveAs (TableWindow)
onCmdSetAsProblem (TableWindow)
onCmdSkipSolution (TableWindow)
onCmdSolve (TableWindow)
onCmdStart (TableWindow)
onCmdStep (TableWindow)
onCmdStop (TableWindow)
pop_solution (Solver)
saveFile (TableWindow)
show_state (Solver)
show_stats (Sudoku)
solution (Solver)
solve (Solver)
solve0 (Solver)
sorted_poss (Sudoku)
status (Solver)
step (Solver)
step0 (Solver)
to_a (Grid)
to_s (Poss)
to_s (Step)
to_s (Sudoku)
to_s (Grid)
total_poss (Poss)


This is a visualization for astrophysical radiation simulation data. There are two loosely coupled views of the data: A "point cloud preview" on the left and an isosurface detail view on the right (initially empty).
To generate the iso-surface matching the point cloud click the "Sync" button below the right panel. The isosurface may take a few seconds to appear.
To fit the data into the view click the "Position camera" button below the right panel. To rotate the views independently drag the mouse on either panel.
To change the iso-surface cutoff value adjust the slider on the top.
To limit the coordinate ranges adjust the limits sliders below the left panel.


--- layout: post title: "No Title" ---
My latest favourite band. Every song is a joy. Which is strange, after being to England twice I can’t imagine living there being anything but depressing.


| CONTENTS | PREV | NEXT | Java Remote Method Invocation |
The interfaces and classes that are responsible for specifying the remote behavior of the RMI system are defined in the java.rmi package hierarchy. The following figure shows the relationship between several of these interfaces and classes:
java.rmi.Remote
Interface
In RMI, a remote interface is an interface that declares a set of methods that may be invoked from a remote Java virtual machine. A remote interface must satisfy the following requirements:
- Each method declaration in a remote interface or its super-interfaces must satisfy the requirements of a remote method declaration as follows:
- A remote method declaration must include the exception
java.rmi.RemoteException
(or one of its superclasses such asjava.io.IOException
orjava.lang.Exception
) in its throws clause, in addition to any application-specific exceptions (note that application specific exceptions do not have to extendjava.rmi.RemoteException
).- In a remote method declaration, a remote object declared as a parameter or return value (either declared directly in the parameter list or embedded within a non-remote object in a parameter) must be declared as the remote interface, not the implementation class of that interface.
The interfacejava.rmi.Remote
is a marker interface that defines no methods:
public interface Remote {}A remote interface must at least extend the interfacejava.rmi.Remote
(or another remote interface that extendsjava.rmi.Remote
). However, a remote interface may extend a non-remote interface under the following condition:
For example, the following interfaceBankAccount
defines a remote interface for accessing a bank account. It contains remote methods to deposit to the account, to get the account balance, and to withdraw from the account:
public interface BankAccount extends java.rmi.Remote { public void deposit(float amount) throws java.rmi.RemoteException; public void withdraw(float amount) throws OverdrawnException, java.rmi.RemoteException; public float getBalance() throws java.rmi.RemoteException; }The next example shows a valid remote interfaceBeta
that extends a non-remote interfaceAlpha
, which has remote methods, and the interfacejava.rmi.Remote
:
public interface Alpha { public final String okay = "constants are okay too"; public Object foo(Object obj) throws java.rmi.RemoteException; public void bar() throws java.io.IOException; public int baz() throws java.lang.Exception; } public interface Beta extends Alpha, java.rmi.Remote { public void ping() throws java.rmi.RemoteException; }2.4.2 The
RemoteException
ClassThejava.rmi.RemoteException
class is the superclass of exceptions thrown by the RMI runtime during a remote method invocation. To ensure the robustness of applications using the RMI system, each remote method declared in a remote interface must specifyjava.rmi.RemoteException
(or one of its superclasses such asjava.io.IOException
orjava.lang.Exception
) in its throws clause.The exception
java.rmi.RemoteException
is thrown when a remote method invocation fails for some reason. Some reasons for remote method invocation failure include:
The classRemoteException
is a checked exception (one that must be handled by the caller of a remote method and is checked by the compiler), not aRuntimeException
.
2.4.3 The
RemoteObject
Class and its SubclassesRMI server functions are provided byjava.rmi.server.RemoteObject
and its subclasses,java.rmi.server.RemoteServer
andjava.rmi.server.UnicastRemoteObject
andjava.rmi.activation.Activatable
.
- The methods needed to create remote objects and export them (make them available to remote clients) are provided by the classes
UnicastRemoteObject
andActivatable
. The subclass identifies the semantics of the remote reference, for example whether the server is a simple remote object or is an activatable remote object (one that executes when invoked).
- The
java.rmi.server.UnicastRemoteObject
class defines a singleton (unicast) remote object whose references are valid only while the server process is alive.
CONTENTS | PREV | NEXT
Copyright © 1997-2004 Sun Microsystems, Inc. All Rights Reserved.


| Sunday | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|---|
Sunday12:00-1:00 pm TA: Hawk Location: LOW 113 |
Monday2:30-3:30 pm Instructor: Hawk Location: CSE 210 2:30-3:30 pm TAs: Hawk & Hawk Location: SIG 228 |
Tuesday9:30-10:30 am TA: Hawk Location: LOW 216 1:00-3:00 pm TAs: Hawk & Hawk Location: MGH 044 |
Wednesday11:30am-12:30 pm Instructor: Hawk Location: CSE 450 |
Thursday2:30-4:20 pm Head TA: Hawk Location: CSE2 150 |
Friday3:30-4:30 pm TAs: Hawk Location: SIG 228 |
WPL & Office Hours Schedule
The Web Programming Lab (WPL) is the place to go for any questions related to assignments, exams, or anything else under the sun related to web programming. Similar to the CSE 14X IPL, it's essentially the TA office hours of this course. So find a time that works for you and stop by! (Reference green cards).
Instructor and head TA office hours for the quarter are also displayed on this schedule. (Reference blue cards).


TweetScroller is a simple jQuery plugin written in CoffeeScript that allows you to pull a collection of your favorite tweets using Twitter API v1 and display them in a fancy scroller with Masonry. Twitter API v1 is now deprecated. You'll need to use your own Twitter v1.1 proxy to use this plugin.
We created this for the Divshot lander and decided to open source it.
| Option | Default Value | Description |
|---|---|---|
| url | 'tweets.herokuapp.com?callback=?' | URL to your Twitter API proxy. Must return a JSON response. |
| tweet | '.tweet' | Individual tweet <div> class. |
| template | '#tweet-template' | Handlebars template selector. |
| height | 600 | Height of container (in pixels). |
| speed | 30 | Speed of scroller in milliseconds. 30-80ms recommended. |
| autoplay | false | True: Autoscroll. False: Scroll on hover. |
This example uses Node.js and mtwitter to serve favorite tweets from the @divshot account. Tweets are cached for 1 hour. To generate your API key, visit Twitter Developers.


Bind9 Backend¶
This page documents using the Pool Manager Bind 9 backend. The backend uses the rndc utility to create and delete zones remotely.
The traffic between rndc and Bind is authenticated with a key.
Designate Configuration¶
Example configuration required for Bind9 operation. One section for each pool target
targets: - type: bind9 description: BIND9 Server 1 # List out the designate-mdns servers from which BIND servers should # request zone transfers (AXFRs) from. masters: - host: <IP_ADDRESS> port: 5354 # BIND Configuration options options: host: <IP_ADDRESS> port: 53 rndc_host: <IP_ADDRESS> rndc_port: 953 rndc_key_file: /etc/designate/rndc.key
The key and config files are relative to the host running Pool Manager (and can be different from the hosts running Bind)
Then update the pools in designate - see designate-manage pool for further details on
the designate-manage pool
command
$ designate-manage pool update
Bind9 Configuration¶
Ensure Bind can access the /etc/bind/rndc.conf and /etc/bind/rndc.key files and receive rndc traffic from Pool Manager.
Enable rndc addzone/delzone functionality by editing named.conf.options or named.conf and add this line under options
allow-new-zones yes;
Example configuration of /etc/bind/rndc.key
key "rndc-key" {
algorithm hmac-md5;
secret "<b64-encoded string>";
};


COVID-19 ESTIMATOR
Population
Time To Elapse
Reported Cases
Total Hospital Beds
Period Type
Choose...
days
weeks
months
Estimate


X Factor's Simon Cowell shows off incredible weight loss as he poses with fans
X Factor judge Simon Cowell has been shedding the pounds and has hailed his new vegan diet for losing the weight and taking years off his looks
by James Brinsford, https://www.facebook.com/james.brinsfordSimon Cowell showed off the full extent of his weight loss as he posed for fans in London.
The 60-year-old X Factor judge has been shedding the pounds recently and his new slimmer frame was in the spotlight as he arrived at Heart Radio.
The music mogul has lost more than 20lb in weight and the TV talent judge has put it down to him turning to a vegan diet.
Simon arrived at the Leicester Square studios in a chauffuer-driven Rolls Royce so that he could appear on the breakfast show with Jamie Theakston and Amanda Holden , who sits with Simon on the Britain's Got Talent judges desk.
Exiting his chauffeur-driven Rolls Royce, he made his way into the Leicester Square studios to record an interview for the Breakfast Show.
Simon had previously revealed his new physique while stripping off in Barbados as he enjoyed a sunshine break.
X Factor: Celebrity viewers were shocked to see Simon's toned body as they took to social media in their droves to pass comment on his slim legs, as he relaxed at his Malibu home during auditions.
Simon's appearance in the capital yesterday was a rare chance for fans to get up close and personal and there was genuine shock as to slender her looked.
Simon implemented a change in his lifestyle in October 2017, after he fell down the stairs in the middle of night.
After being rushed to hospital, Simon said that doctors advised that he should cut out the sausage rolls and hamburgers.
He also had a penchant for jam tarts that were made especially by his own personal chefs.
Doctors also warned Simon that his waking hours had to change after the Britiain's Got Talent supremo admitted to living "like a vampire."
Simon revealed that he was not falling a asleep until 8am in the morning after staying up all night.
He admitted to The Sun previously, in his usual modest manner: “If I was on a one to ten scale of being handsome, I was an eight and now I’ve gone to an 11.”
Simon said that he changed his diet withing 24 hours of fall and "not looked back since." He added "you feel better, you look better.
“I cut out a lot of the stuff I shouldn’t have been eating and that was primarily meat, dairy, wheat, sugar — those were the four main things.”
“Once you get into a pattern I’ve found it quite enjoyable. It has helped me sleep and I wake up feeling less tired.
"I noticed a massive difference in how I felt in about a week.
“I have more energy and focus and it wasn’t difficult.
"I don’t like to use the word diet because that’s the reason I never went on a diet before — the word diet makes me miserable.”
What doesn't upset him any more is looking at his new figure in the mirror, which no doubt tells him he's the 'most handsome of them all'.
Do you have a story to sell? Get in touch with us at<EMAIL_ADDRESS>or call us direct 0207 29 33033.


©2010 Google -
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The Google Earth Plug-in and its JavaScript API let you embed Google Earth, a true 3D digital globe, into your web pages. Using the API you can draw markers and lines, drape images over the terrain, add 3D models, or load KML files, allowing you to build sophisticated 3D map applications. If you have an existing Maps API site, you can 3D-enable your page with as little as one line of code.
New! Check out the recently revamped Earth API Developer's Guide, covering advanced topics such as KML tours, info balloons, and JavaScript debugging!
The Google Earth API is a free service, available for any web site that is free to consumers. Please see the terms of use for more information.


This intention removes a
catch
section in a
try
-
catch
statement and adds a
throws
declaration with the same exception to the containing method. If the
try
statement contains no further catch sections it is removed entirely.


More November notes
18 Nov 2019Some more notes for November 2019.
Network creation game
Network generation models are mechanisms to create networks. In a classic setting the nodes arrive one after the other and are linked to nodes already in the network following some rules. In another setting, called network creation game the nodes are players, and they play a game in which they can choose to pay to be linked to other nodes. The outcome of the game is a network. The cost that a player pays is $\alpha$ for every node it decides to be linked to, plus the sum of the distances from this node to all the other nodes. In other words, a node wants to have short distance to every node, but cannot add a link to every node, because it would be too expensive.
For this game one can study the usual objects of algorithmic game theory: the Nash equilibrium and the price of anarchy.
It is conjectured that the price of anarchy is constant for any value $\alpha$, and this recent preprint makes progress on the conjecture.
Lempel-Ziv compression algorithms
Lempel-Ziv algorithm is a classic compression algorithm (or more precisely a classic family of algorithms, are there are several versions). A blog post on Semidoc describes the algorithm and gives an overview of this paper which studies how the compression rate can change when the original text is changed by one bit.
Two recent papers on arxiv deal with Lempel-Ziv:
-
The first one gives a new analysis of the fact that Lempel-Ziv is optimal for some models of random text (hidden Markov sources)
-
The second one improves the complexity of the algorithm decompressing the text.
Multi-armed bandit
Multi-armed bandit is an expression that appears here and there in TCS conference, and very often in theoretical machine learning. It is a type of problem where one has to make decisions one after the other, to maximize some pay-off. Basically, at each round, it has the choice between several options called the “arms” of the bandit (like the levers of different slot-machines).
A basic version is the following framework:
Given: $k$ arms, $T$ rounds.
In each round $t\in[T]$: 1. Algorithm picks arm $a_t$. 2. Algorithm observes reward $r_t\in [0,1]$ for the chosen arm.
Pay-off: the sum of the rewards
The reward for an arm comes from an unknown distribution, but if the algorithm chooses an arm repeatedly, it somehow learns this distribution. There is already a lot to say on this simple case, and there are a flurry of papers about this, these days.
Here is a recent introduction to multi-armed bandit. Also if you are in Rennes, France, on Wednesday there is a PhD defense on this topic.
Delaunay triangulations have perfect matchings
Delaunay triangulations are triangulations of point sets in the plane. I recentely learnt that the graphs that are Delaunay triangulations, always have a perfect matching (that is a matching of size $n/2$ if $n$ is even, and $(n-1)/2$ is $n$ is odd).
A point set, its Delaunay triangulation, and the associated graph with a perfect matching.
A short proof of this appeared on arxiv recently, here. (Actually it is a stronger result that is proved, about the so-called “toughness” of Delaunay triangulations.)
Learning-augmented algorithms
Learning-augmented algorithms are algorithms that can use informtation coming from some machine learning source. Here is an example.
Binary search takes $O(\log n)$ in the worst-case. Now if you have some neural network (NN) telling you that the element you’re looking for is around position $i$, how do you modify your search? Well you can begin by testing position $i$. Then, if the NN is not perfect, this might not be the right value, but maybe it’s close. Say the value you’re looking for is larger. Then you can try to find a position that has larger value than your element, for example by doing exponential guesses. Once you have both upper and lower bound, you can run the usual binary search.
If the error (that is, the number of positions between your element and the prediction of the NN) is $\mu$, then your algorithm runs in $O(\log \mu)$. This is good: if the prediction is good then you speed up the search, and if it’s bad, then you do not loose much.
In more general terms, one looks for two properties:
- consistency: the better the prediction, the better the algorithm
- robustness: if the predition is bad, then the algorithm does not get much worse.
Note that for real application, one might also be interested in the running time of the NN, and a lot of other things.
Some material on this topic:
- a lecture note
- the slides of a talk at HALG 2019
- a workshop.


---
layout: default
title: Sumo Logic Experts
excerpt: Find real-world solutions created by our customers, Sales Engineers and Customer Success teams. Feel free to contribute to this page.
---
Welcome to Sumo Logic Experts - Here you'll find real-world solutions created by our customers, Sales Engineers and Customer Success teams. Feel free to
contribute to this page.
Client applications, libraries, tools, and solutions from our expert teams
{% for expert in site.data.experts %}
| {{ expert.title }} |
{{ expert.repo_description }} |
{% endfor %}


I am a final year engineering student, who loves pizza, EDM music and watches TV series. I love to code, customize and tweak smartphones (rooting and flashing ROMs) and try to learn new technologies.
Worked with team to develop a system for identifying disease based on
symptoms.
Scraped, cleaned, assimilated data from web and trained a neural network
model to predict disease with 77% accuracy on test data.
Web app deployed on Heroku and created REST API for future
integration of the system with mobile apps.
DRDO
Software Engineering Intern
Learnt basic principles and tools to process images and how to apply them in solving practical problems.
Implemented, tested and compared different algorithms for assessing the quality of images.
Skills
Python
C
C++
HTML/CSS
Javascript
Solidity
Django
Keras
Angular4
Bootstrap
Heroku
Truffle
Octave
OpenCV
SQL
Git
Tensorflow
Ethereum
Education
SKIT, Jaipur
August 2015 - July 2019
Bachelor of Technology in Computer Science
Kendriya Vidyalaya Rajouri, J&K
April 2014 - May 2015
Higher Secondary
Secured 90.4%
Kendriya Vidyalaya Rajouri, J&K
April 2012 - May 2013
Secondary
Secured 9.6 CGPA
Projects
Food-Scan
Web and iOS app that can identify 10 different types of Indian food.
Informs users about the ingredients used and the recipe of identified food.
Energy Predictor
Predicts the hourly electric energy demand for Florida using neural network with graph to show the past and the predicted data.
Decentralized FIR
A secure and transparent FIR logging app. It is built on Ethereum, which is a decentralized platform for applications to run without any fraud or censorship.
Disease Identifier
Project built during the ISRO internship, it predicts the disease on the basis of symptoms with 77% accuracy on test data using neural networks.
vidCrypt
This project aims to livestream webcam securely using AES-128 encryption over network. It also securely streams videos on demand over network.
Arduino App
Project in collaboration with Genus Innovation Limited to create a platform for collecting data and monitor devices to find anomalies.
Web app to visualize real-time data. Live on Heroku.
Hotdog Pizza
Web app that can identify hotdog and pizza with 80% accuracy using CNN, inspired by the “Hotdog Not-Hotdog” app featured in the “Silicon Valley” TV show.


--- layout: post title: "In the News: The Best of Our Knowledge" date: 2021-08-26 15:01:00 +0000 tags: image: https://s3.amazonaws.com/audreywatters/2017-11-03-news.jpg imagecredits: https://www.flickr.com/photos/62693815@N03/6277209256 ---
I was interviewed by Bob Barrett for WAMC's The Best of Our Knowledge radio program. You can give it a listen here.


{% extends "base.html" %} {% block content %} Success! You are now registered! You should receive a confirmation email shortly {% endblock %}


Crash on launch (awakeFromNib -> iChat plug-in)
REQUEST: Larger size range for album art display
REQUEST: "Auto-hide" feature when Floater set to "always on" and iTunes paused/stopped for extended period
Floater shows wrong album art when previewing iTMS tracks
REQUEST: Auto-launch Synergy when iTunes launches
REQUEST: Totally transparent Floater background
REQUEST: Add support for last.fm submission
REQUEST: "About" or "Check for updates" functionality (hard to determine version number)
CRASH: Dies on launch ("Backtrace not available")
Feature Request: Pause Keybindings


Premiership outright winners odds - 2017
Search by Team:| ID | Team | Betfair | PaddyPower | SkyBet |
|---|---|---|---|---|
| {{ team.id }} | {{team.team}} | {{team.betfair[0].odds}} |
|
|
| ID | Team | Betfair | PaddyPower | SkyBet |
|---|---|---|---|---|
| {{ team.id }} | {{team.team}} | {{team.betfair[0].odds}} |
|
|


DataChart
component of the {{ site.tech.embed_api.name }}, which queries the {{ site.tech.core_reporting_api.name }} behind the scenes. It also uses the ViewSelector
component, which uses the {{ site.tech.management_api.name }} to get a list of accounts the current user can access.
{% endblock %}
{% block foot_scripts %}
{{ super() }}
{% endblock %}


Anadenanthera spp.
[Erowid Note: The term 'yopo' is traditionally used in reference to Anadenanthera peregrina. Recently many people have started using it to refer to both A. peregrina AND A. colubrina. This report specified only 'yopo' so we do not know the exact identity of the seeds used.]
After researching for a good source of DMT and 5meodmt for extraction, I found a website with a large amount of yopo seeds for a good price. After getting the package I decided i would try smoking the seeds straight without the use of extraction just to test things out. I peeled the shell off of the seeds and cut up and crushed as much of the material as possible (next time i'd recommend a coffee grinder). I then smoked the seeds through a water bong.
I got about 2 hits before i started feeling the effects, and i wasn't even through with the bowl yet. My face all of a sudden felt very hot and was tingling. I suddenly got extremely nauseous and ran outside to throw up. I ended up not throwing up but instead sat down in the grass and started enjoying the trip. I had cev's and patterning and a very pleasant feelings overall. The effects lasted about 10 minutes and then came down slowly after that. I would say it was about a ++, very pleasant and worth the nausea.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


--- layout: default title: Open Call For Speakers ---
Style & Class is a community made up of passionate individuals working on the web. The web has always been about sharing, and we all want to hear what you're up to. Filling in this form will get your talk idea on our organizing team's radar so that we can start supporting you with options for dates, rehearsal, and coaching.
 Get in touch!
For examples take a look at our previous events and speakers.


Computes the weighted loss.
tf.compat.v1.losses.compute_weighted_loss( losses, weights=1.0, scope=None, loss_collection=tf.GraphKeys.LOSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS )
losses
: Tensor
of shape [batch_size, d1, ... dN]
.weights
: Optional Tensor
whose rank is either 0, or the same rank as
losses
, and must be broadcastable to losses
(i.e., all dimensions must
be either 1
, or the same as the corresponding losses
dimension).scope
: the scope for the operations performed in computing the loss.loss_collection
: the loss will be added to these collections.reduction
: Type of reduction to apply to loss.Weighted loss Tensor
of the same type as losses
. If reduction
is
NONE
, this has the same shape as losses
; otherwise, it is scalar.
ValueError
: If weights
is None
or the shape is not compatible with
losses
, or if the number of dimensions (rank) of either losses
or
weights
is missing.When calculating the gradient of a weighted loss contributions from
both losses
and weights
are considered. If your weights
depend
on some model parameters but you do not want this to affect the loss
gradient, you need to apply tf.stop_gradient
to weights
before
passing them to compute_weighted_loss
.
The loss_collection
argument is ignored when executing eagerly. Consider
holding on to the return value or collecting losses via a tf.keras.Model
.


This text is displayed if your browser does not support HTML5 Canvas.
link to the javascript file.
link to tutorial
simonsarris.com


Commands
Commands are meant to encapsulate your business logic in a tightly bounded scope and executed by triggering an event. Commands are placed in the ./commands
directory of your project and are autoloaded during the application boot sequence. To trigger a command you emit an event using the core.io context, if the event type matches a file name then the handler exposed by it's module will be executed.
Handler
Commands are exposed as modules, so each command is mapped to a file. The module can expose the command as a function or as a class.
Command exposed as a function :
./commands/greet.js
:
module.exports = function greetCommand(event) {
const context = event.context;
const logger = context.getLogger('greet-cmd');
logger.info('Executing greet command');
return {
message: `Hello ${event.name}!`
};
};
Command exposed as a class:
./commands/greet.js
:
class GreetCommand {
execute(event) {
const context = event.context;
const logger = context.getLogger('greet-cmd');
logger.info('Executing greet command');
return {
message: `Hello ${event.name}!`
};
}
}
module.exports = HelloCommand;
To dispatch this command:
context.emit('hello', {name: 'Peperone'});
Event
The event object will with populated with a set of properties if not present:
event.id
: A unique idevent.type
: A string with the event type used to trigger the event.event.context
: A reference to the applications core.io instance.
Responses
If the executed command returns any value it will either emit an event with type ${eventType}.done
or if a respondTo
function is present it will be invoked.
Event
To handle a response using an event listener:
context.once('hello.done', resp => {
console.log('message: %s', resp.message);
});
context.emit('hello', {
name: 'Peperone',
respondTo(resp) {
console.log('message: %s', resp.message);
}
});
Respond To
If an event that triggers a command contains a respondTo
field will use the field to automatically notify on command completion if the command execute handler returns a truthy value.
To dispatch this command:
context.emit('hello', {
name: 'Peperone',
respondTo: function(resp){
console.log('message: %s', resp.message);
}
});


FAQ - EN
1. What is Coin Dragon?
The Coin Dragon kiosk counts your coins and exchanges them for real spending options. Simply feed the dragon! Users may convert their coins’ value into a bank account, Octopus card, charity donation, or merchant gift voucher.
2. How does it work?
a. Select which output for your coins’ value:
Bank Account, Octopus card, Charity Donation, or Gift Voucher
b. Read and accept the ‘Terms of Use’
c. Pour in your coins and watch the Coin Dragon count them. Accept/reject your final count
d. View/send your receipt
We take care of the rest by transferring the value to you in the promised timeframe (*different for each transaction mode).
*Example: E-Wallets, and Octopus add value are immediate while bank transfers may take up to 3 working days
3. Can I deposit my coins to more than one account for each coin deposit transaction?
At any one time, you may deposit the coins into one account/option only. Splitting a transaction is not possible. You may submit several separate transactions to different accounts, however.
4. What are the accepted denominations and currencies?
Only HKD coins. No RMB coins, no foreign coins, no foreign objects. Some damaged or older coins may be rejected. Coin Dragon does not exchange currencies.
5. How many coins can I deposit each time?
Up to 8,000 HKD can be accepted per transaction or if using Octopus, less than the remaining capacity on the Octopus. The maximum number of pieces deposited is also subject to the load capacity of the Kiosk. The Kiosk may eject your deposit if the machine is full or you exceed the transaction limit.
6. What if I deposit more coins than my Octopus Card’s remaining capacity?
You can select ‘Change Option to use another option or ‘Save’ to come back later to collect within 7 days. If you have input less than 200 coins, you can eject the coins back to you.
7. Is Coin Dragon’s Bank Deposit feature safe?
Yes, we use an encrypted-SSL connection to process your information and we dispose sensitive information regularly. Our data security protocols are comparable ATM tellers. For bank transfers, we only collect the destination account number and no other personal details.
8. What personal information do Coin Dragon kiosk collect?
"Bank transfers: Account number only, used on only to transfer the value
Octopus card: Card number, as part of the Add Value operation
Email address (optional) for tax or merchant receipts
Mobile number (optional) for tax or merchant receipts
Account/card numbers are regularly disposed from our systems.
9. Do I need to sort the coins according to denominations before depositing at the Kiosk?
No, your coins can comprise a mixture of the accepted denominations. Please remove all dirt, debris, objects, and foreign coins before depositing as these may damage the Coin Dragon machine.
10. Can I change the amount of my coin deposit after placing them into the coin deposit Kiosk?
Yes, you can always add more coins by pressing the "Add More Coins" option after the count has completed. However, the service does NOT offer refunds of coins once deposited in the kiosk.
11. When will my account be credited or value transferred?
* Octopus add value is immediate.
* Bank transfer takes three working days.
* Gift cards are sent by email within three working days.
If you are having any difficulty with your transaction, please contact our support:
<EMAIL_ADDRESS>12. Does Coin Dragon charge for their service?
Yes, we exchange your coin value on Bank Transfers, PayPal Transfers, and Octopus Add Value less a 10% processing fee. Charity donations and gift cards are free of charge.
Note: Coin Dragon Limited charges the processing fee to cover our cost of operation. You have the right to decline our service by pressing ‘Start Over’ before proceeding to deposit any coins into the kiosk.
13. Who should I contact if I am experiencing difficulties with the Coin Dragon Kiosk?
CONTACT: 6179-9335


BfyB is a project aimed at increasing blockchain literacy. The goal is to provide material about blockchain technology that is easy to digest for those without a technical background but does not leave out the challenging concepts that make blockchain and cryptocurrency so valuable.
We are the Waz Collective, a group of technology enthusiast who live and work together.
UBC Vancouver, House Casablanca
The world won't wait or give you permission to start. Make a difference when you can.
If you want to work with us, feel free to email __________________


| DOSE: T+ 0:00 |
50 mg |
oral |
AMT |
(powder / crystals) |
| T+ 4:00 |
50 mg |
oral |
AMT |
(powder / crystals) |
Well, I haven't tried psychedelics in a few months, and I got some aMT. I'm experienced with LSD, mushrooms and DMT, in terms of psychedelics, and many other things besides. The other night I tried this stuff.
This experience was interesting. I'd very much like to try it again but perhaps next time sticking to a 50mg dose. I was on my own, and indoors throughout, because it was bloody freezing outside, and as much as I wanted to experience the snow... well, I don't do cold very well.
8.00pm: I take 50mg orally, using a cigarette paper to bomb it. I then carry on my activities (watching a bit of TV, listening to music, playing guitar).
9.00pm: By this point I was noticing a mild stimulation. It felt slightly speedy, I felt like I wanted to dance a little and was getting pretty excited about the experience.
10.00pm: Now I started feeling a sense of disorientation when walking about. I started feeling pretty euphoric, and my vision was crisp and clear. I phoned a good friend and chatted for a while, which really helped my well-being along. After a while I found my vision jumping about, things flipping around my visual field. I turned the lights off and listened to music. At this point I could see dots and flashes, very mild visuals.  The energy I previously felt had left. Visuals didn't really increase. It was here that I started reliving painful memories, and the thoughts were looping in my mind. These remained for what felt like hours before I got them under control, but throughout I was feeling panicky. I developed a painful headache and I didn't want to move, although I kept thrashing in my bed. I tried to watch family guy but I couldn't concentrate on it and it made no sense. I felt the desire to just sleep.
5.00am: No sleep came, although I felt calm and relatively content by now. Very tired, but satisfied.
Overall, it was interesting. The frightening part was obviously nasty, but nothing that concerned me upon returning to relative sobriety, I considered it a warning to have a bit more respect for this stuff. I would say the mental aspect felt a bit shallow... I'm willing to try this again though. Visually I was disappointed, but do not underestimate the capacity for mind-fuck with this stuff. It's powerful.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


there is an extreme between computers understanding english and humans understanding c++
hence, the need for a compomise
semantic: meaning syntactic: role
In fact, one of the biggest differences between object-oriented and non-object-oriented programming is the possibility to identify the actor of an action using purely syntactic means.
semantic roles should have syntactic distinctions
The point here is to understand that unreasonable introduction of natural-language traits into programming languages may bring not only benefits, but problems as well.
I have deliberately restricted myself to syntax, as this is the only field of linguistics that is felt to be integral part of computer science. However there are still other fields that can give equally interesting results. Semantics, morphology or lexicology, for example.


#3685 Sum ſay the world is Doomed! Butte they be Wrong for 'Thoſe who Click' and 'Thoſe who Code' and 'Thoſe who Plan' will join in union to build their ſmarts and learn the ſecrets of how to bend the 'Force of Sales' to the Power of Good for all.
#3824 Open thine eyes to underſtanding. Open thine eyes and rede. Open thine eyes and watch. Spread thy fingers to click and code. Get thee online to gather and drink of badges and certs. Then open thy mouth and ſpeak for thou will become the expert thee would follow.
#4214 Gather with those of leſſer ſmarts than thee and bring them into thy houſe of wiſdom to ſhare of thy knowledge. In doing so thee will create the Ohana thou crave.
#4635 Overturn each ſtone ye pass for hidden gems beneath. Do for both thyſelf and others whom thee aid. When alle is ſayed and all is done, thee will have helped others to chooſe their faces wiſely, for ſoon enouff they will be facing opportunity.
#4948 Gird thy fearless loins and be tireless in thy pursuits. Stay ſtrong and brave in thy heart and mind yet humble with faith as ye grow in wiſdom and ſuccess. Thee will give of thy time and mind as thou ſhepard those in need.
#5278 Lette the wheel of Fate turne for the world is neither simple nor predictable. Thee can not know whence thy good efforts succeed or fail but despair not. The great plan is ineffable but yet a journey thou will enjoy.


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Progress
I'll be updating this page with progress reports, as a sort of decentralized
stand. Anyone interested in getting involved with my projects please get in
touch.
Sep 2, 2018
- Built the basic function of a SpankBank keeper (KeepSpank) that maintains
one's stake
- Researched methods of managing keys for running the keeper
future work
- Test methods of key management for keeper operation
- Write keeper operations automation
- Design and build multitennant interface for using the keeper
Sep 1, 2018
- Created a board in Notion to track DAOstack proposal ideas
- Drafted a proposal to help Genesis Alpha 2.0 stay on budget by displaying the
percent of holdings a proposal is requesting
Aug 31, 2018
- Sketched ideas for a continuous peer to peer face to face micropayment system
- Submitted a proposal to get some Rep in the DAOstack Genesis Alpha 2.0
- Fleshed out ideas for Game Format Curation Markets
July 15, 2018
- Fleshed out ideas for Opulent.Red
- Wrote a draft of the concept and conceit
- wrote some notes on cryptoeconomic and game mechanisms


I am an Engineer, Programmer, and former Nuclear Submarine Officer always in search of the opportunities to improve myself.
My Education
- Code Fellows: ASP.NET Core Software Development
- University of Washington: MS - Electical Engineering
- Naval Nuclear Power School: Advance Nuclear Power Course
- University of Washington: BS - Mechanical Engineering
- South Seattle College: Associated of Arts
My List of Career Professions
- SDE Apprentice @ AWS
- Teaching Assistant @ Code Fellows
- Nuclear Submarine Office @ US Navy
- Mechanical Engineering Inter @ Korry Electronics
- Environmental Worker @ EarthCorps
My Top Ten Games
- Age of Empires II
- Medieval II: Total War
- Civilization III
- Resident Evil 4
- Tales of Phantasia
- Rome II: Total War
- Chrono Trigger
- Legend of Zelda: Oracle of Seasons/Ages
- Battlefield 4
- Fallout 3


:the part of a human being or quadruped on each side of the spinal column between the hipbone and the false ribs
:a cut of meat comprising this part of one or both sides of a carcass with the adjoining half of the vertebrae included but without the flank
:the upper and lower abdominal regions and the region about the hips
:the pubic region
:the reproductive organs


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!DOCTYPE html>
This is a web application built using HTML,Javascript and CSS, that takes a user's birthday,gender and calculates the day of the week they were born and then depending on their gender outputs their Akan Name.
Akan names are derived from Ghanian culture. Frequently in Ghana, children are given their first name as a 'day name' which corresponds to the day in the week they were born.
Most people do know when their birthdays are but some might not know what day of the week they were born. Luckily for us, there are ways to calculate the day of the week from a specific date.,
Well,no need to worry because the solution is here.
The naming is based on the following variables.
| Day of the week | Male Name Assigned | Female Name Assigned |
|---|---|---|
| Sunday | Kwasi | Akosua |
| Monday | Kwado | Adwoa |
| Tuesday | Kwabena | Abenna |
| Wednesday | Kwako | Okua |
| Thursday | Yaw | Yaa |
| Friday | Kofi | Afua |
| Saturday | Kwame | Ama |
Was the web application important?
We value your feedback.


In This Example, I have loaded same Application on Two different container.
But I have not used LocalEvent Bus. Now Events are fired on Global bus and received by uninteded code


Builds Google Checkout Button Constructor
Returns Markup for Google Checkout Button
Google GCheckout / Checkout Shopping cart object
returns shipping-restriction object
Returns the XML GCheckout Shopping Cart
returns shipping restriction object
Returns the received merchant id from the authentication header
Returns the received merchant key from the authentication header
Returns HTML Form that Posts to cart to Google Checkout
Returns the XML Shopping Cart Signature
Returns the XML representation of the Tax Table.
Returns the XML Representation of tax rule
Return XML
return Google Checkout XML
Representation of a Shopping cart item.
========================================================
Google Checkout Redirect Message Parser
New Order Notification
Enter description here...
Google Checkout Tax Rule Constructor
Google Checkout Tax Rule Primitive
Google Checkout Tax Table Primitive


The state of an atomic model is realized by the attributes of the object that implements the model. The internal transition function describes the model's autonomous behavior; that is, how its state evolves in the absence of input. These types of events are called internal events because they are self-induced; i.e., internal to the model. The time advance function schedules these autonomous changes of state. The output function gives the model's output when these internal events occur.
The external transition function describes how the model changes state in response to input. The confluent transition function handles the simultaneous occurrence of an internal and external event. The types of objects that are accepted as input and produced as output are specified with a template argument to the Atomic base class.
The Clerk described in Section 3 demonstrates all the aspects of an Atomic model. We'll use it here to demonstrate how an Atomic model generates output, processes input, and schedules internal events. Below is the Clerk's class definition:
include "adevs.h" #include "Customer.h" #include <list> class Clerk: public adevs::Atomic<IO_Type> { public: /// Constructor. Clerk(); /// Internal transition function. void delta_int(); /// External transition function. void delta_ext(double e, const adevs::Bag<IO_Type>& xb); /// Confluent transition function. void delta_conf(const adevs::Bag<IO_Type>& xb); /// Output function. void output_func(adevs::Bag<IO_Type>& yb); /// Time advance function. double ta(); /// Output value garbage collection. void gc_output(adevs::Bag<IO_Type>& g); /// Destructor. ~Clerk(); /// Model input port. static const int arrive; /// Model output port. static const int depart; private: /// The clerk's clock double t; /// List of waiting customers. std::list<Customer*> line; /// Time spent so far on the customer at the front of the line double t_spent; };and here its implementation
#include "Clerk.h" #include <iostream> using namespace std; using namespace adevs; // Assign locally unique identifiers to the ports const int Clerk::arrive = 0; const int Clerk::depart = 1; Clerk::Clerk(): Atomic<IO_Type>(), // Initialize the parent Atomic model t(0.0), // Set the clock to zero t_spent(0.0) // No time spent on a customer so far { } void Clerk::delta_ext(double e, const Bag<IO_Type>& xb) { // Print a notice of the external transition cout << "Clerk: Computed the external transition function at t = " << t+e << endl; // Update the clock t += e; // Update the time spent on the customer at the front of the line if (!line.empty()) { t_spent += e; } // Add the new customers to the back of the line. Bag<IO_Type>::const_iterator i = xb.begin(); for (; i != xb.end(); i++) { // Copy the incoming Customer and place it at the back of the line. line.push_back(new Customer(*((*i).value))); // Record the time at which the customer entered the line. line.back()->tenter = t; } // Summarize the model state cout << "Clerk: There are " << line.size() << " customers waiting." << endl; cout << "Clerk: The next customer will leave at t = " << t+ta() << "." << endl; } void Clerk::delta_int() { // Print a notice of the internal transition cout << "Clerk: Computed the internal transition function at t = " << t+ta() << endl; // Update the clock t += ta(); // Reset the spent time t_spent = 0.0; // Remove the departing customer from the front of the line. line.pop_front(); // Summarize the model state cout << "Clerk: There are " << line.size() << " customers waiting." << endl; cout << "Clerk: The next customer will leave at t = " << t+ta() << "." << endl; } void Clerk::delta_conf(const Bag<IO_Type>& xb) { delta_int(); delta_ext(0.0,xb); } void Clerk::output_func(Bag<IO_Type>& yb) { // Get the departing customer Customer* leaving = line.front(); // Set the departure time leaving->tleave = t + ta(); // Eject the customer IO_Type y(depart,leaving); yb.insert(y); // Print a notice of the departure cout << "Clerk: Computed the output function at t = " << t+ta() << endl; cout << "Clerk: A customer just departed!" << endl; } double Clerk::ta() { // If the list is empty, then next event is at inf if (line.empty()) return DBL_MAX; // Otherwise, return the time remaining to process the current customer return line.front()->twait-t_spent; } void Clerk::gc_output(Bag<IO_Type>& g) { // Delete the outgoing customer objects Bag<IO_Type>::iterator i; for (i = g.begin(); i != g.end(); i++) { delete (*i).value; } } Clerk::~Clerk() { // Delete anything remaining in the customer queue list<Customer*>::iterator i; for (i = line.begin(); i != line.end(); i++) { delete *i; } }
Consider the simulation of the convenience store described in Section 3 (i.e., with the arrivals listed in Table 3.1). The arrival data is listed again here:
Table 4.1 describes an input sequence that is input to the Clerk model. The algorithm for processing this, or any other, input sequence is listed below. The Atomic model being simulated is called `model', t is the current simulation time (i.e., the time of the last event - internal, external, or confluent), and t_input is the time of the next unprocessed event in the input sequence.
The first step of this algorithm computes the time of the next event as the sooner of the next input event and the next internal event. If the next internal event happens first, then the model produces an output and its next state is computed with the internal transition function.
If the next input event happens first, then the next state of the model is computed with the external transition function; no output is produced in this case. The elapsed time argument given to the external transition function is the amount of time that has passed since the previous event - internal, external, or confluent - at that model.
If the next input and internal event happen at the same time, then the model produces an output and its next state is computed with the confluent transition function. The simulation clock is then advanced to the event time. These steps are repeated until there are no internal or external events remaining to process.
The output trace resulting from the input sequence in Table 4.1 is shown below. It has been broken up to show where each simulation cycle begins and ends and the type of event occurring in each cycle.
-External event---------------------------------------------- Clerk: Computed the external transition function at t = 1 Clerk: There are 1 customers waiting. Clerk: The next customer will leave at t = 2. -Confluent event---------------------------------------------- Clerk: Computed the output function at t = 2 Clerk: A customer just departed! Clerk: Computed the internal transition function at t = 2 Clerk: There are 0 customers waiting. Clerk: The next customer will leave at t = 1.79769e+308. Clerk: Computed the external transition function at t = 2 Clerk: There are 1 customers waiting. Clerk: The next customer will leave at t = 6. -External event---------------------------------------------- Clerk: Computed the external transition function at t = 3 Clerk: There are 2 customers waiting. Clerk: The next customer will leave at t = 6. -External event---------------------------------------------- Clerk: Computed the external transition function at t = 5 Clerk: There are 3 customers waiting. Clerk: The next customer will leave at t = 6. -Internal event---------------------------------------------- Clerk: Computed the output function at t = 6 Clerk: A customer just departed! Clerk: Computed the internal transition function at t = 6 Clerk: There are 2 customers waiting. Clerk: The next customer will leave at t = 10. -External event---------------------------------------------- Clerk: Computed the external transition function at t = 7 Clerk: There are 3 customers waiting. Clerk: The next customer will leave at t = 10. -External event---------------------------------------------- Clerk: Computed the external transition function at t = 8 Clerk: There are 4 customers waiting. Clerk: The next customer will leave at t = 10. -Confluent event---------------------------------------------- Clerk: Computed the output function at t = 10 Clerk: A customer just departed! Clerk: Computed the internal transition function at t = 10 Clerk: There are 3 customers waiting. Clerk: The next customer will leave at t = 12. Clerk: Computed the external transition function at t = 10 Clerk: There are 4 customers waiting. Clerk: The next customer will leave at t = 12. -External event---------------------------------------------- Clerk: Computed the external transition function at t = 11 Clerk: There are 5 customers waiting. Clerk: The next customer will leave at t = 12. -Internal event---------------------------------------------- Clerk: Computed the output function at t = 12 Clerk: A customer just departed! Clerk: Computed the internal transition function at t = 12 Clerk: There are 4 customers waiting. Clerk: The next customer will leave at t = 22. -Internal event---------------------------------------------- Clerk: Computed the output function at t = 22 Clerk: A customer just departed! Clerk: Computed the internal transition function at t = 22 Clerk: There are 3 customers waiting. Clerk: The next customer will leave at t = 42. -Internal Event---------------------------------------------- Clerk: Computed the output function at t = 42 Clerk: A customer just departed! Clerk: Computed the internal transition function at t = 42 Clerk: There are 2 customers waiting. Clerk: The next customer will leave at t = 44. -Internal event---------------------------------------------- Clerk: Computed the output function at t = 44 Clerk: A customer just departed! Clerk: Computed the internal transition function at t = 44 Clerk: There are 1 customers waiting. Clerk: The next customer will leave at t = 45. -Internal event---------------------------------------------- Clerk: Computed the output function at t = 45 Clerk: A customer just departed! Clerk: Computed the internal transition function at t = 45 Clerk: There are 0 customers waiting. Clerk: The next customer will leave at t = 1.79769e+308.
Now lets create a more sophisticated clerk. This clerk interrupts the checkout of a customer with a large order to more quickly serve a customer with a small order. The clerk, however, does this only occasionally. To be precise, let a small order be one requiring no more than one unit of time to process. Moreover, the clerk interrupts the processing of an order at most once in every 10 units of time.
This new clerk has two state variables. The first records the time remaining before the clerk is willing to interrupt the processing of a customer. The second is the list of customers waiting to be served. Here is the header file for the new clerk model, which is called Clerk2.
#include "adevs.h" #include "Customer.h" #include <list> class Clerk2: public adevs::Atomic<IO_Type> { public: /// Constructor. Clerk2(); /// Internal transition function. void delta_int(); /// External transition function. void delta_ext(double e, const adevs::Bag<IO_Type>& xb); /// Confluent transition function. void delta_conf(const adevs::Bag<IO_Type>& xb); /// Time advance function. double ta(); /// Output function. void output_func(adevs::Bag<IO_Type>& yb); /// Output value garbage collection. void gc_output(adevs::Bag<IO_Type>& g); /// Destructor. ~Clerk2(); /// Model input port. static const int arrive; /// Model output port. static const int depart; private: /// Structure for storing information about customers in the line struct customer_info_t { // The customer Customer* customer; // Time remaining to process the customer order double t_left; }; /// List of waiting customers. std::list<customer_info_t> line; //// Time before we can preempt another customer double preempt; /// The clerk's clock double t; /// Threshold correspond to a 'small' order processing time static const double SMALL_ORDER; /// Minimum time between preemptions. static const double PREEMPT_TIME; };
The Clerk2 constructor sets the clerk's clock and interruption timer to zero.
Clerk2::Clerk2(): Atomic<IO_Type>(), preempt(0.0), t(0.0) { }The output function of this model sets the exit time of the departing customer and then ejects that customer via the ``depart" port.
void Clerk2::output_func(Bag<IO_Type>& yb) { /// Set the exit time of the departing customer line.front().customer->tleave = t+ta(); /// Place the customer at the front of the line onto the depart port. IO_Type y(depart,line.front().customer); yb.insert(y); // Report the departure cout << "Clerk: A customer departed at t = " << t+ta() << endl; }
The external transition function works as follows. When a new customer arrives, the clerk first advanced its clock by the elapsed time. Next, she reduces the time remaining to process the current customer. This reduction reflects the amount of time that has already been spent on the customer's order, which is the time elapsed since the clerk's last change of state. Then the clerk decrements the time remaining before she is willing to interrupt the processing of a large order. This timer is also decremented by the elapsed time.
Now the clerk records the time at which each arriving customer enters the line. This time is the value of the clock. If any of the arriving customers has a small checkout time and the clerk is willing to interrupt the present order, then that customer with the small order goes to the front of the line. This preempts the current customer, who now has the second place in line, and causes the preempt timer to be reset. Otherwise, the new customer simply goes to the back of the line.
void Clerk2::delta_ext(double e, const Bag<IO_Type>& xb) { /// Update the clock t += e; /// Update the time spent working on the current order if (!line.empty()) { line.front().t_left -= e; } /// Reduce the preempt time preempt -= e; /// Place new customers into the line Bag<IO_Type>::const_iterator iter = xb.begin(); for (; iter != xb.end(); iter++) { cout << "Clerk: A new customer arrived at t = " << t << endl; /// Create a copy of the incoming customer and set the entry time customer_info_t c; c.customer = new Customer(*((*iter).value)); c.t_left = c.customer->twait; /// Record the time at which the customer enters the line c.customer->tenter = t; /// If the customer has a small order if (preempt <= 0.0 && c.t_left <= SMALL_ORDER) { cout << "Clerk: The new customer has preempted the current one!" << endl; /// We won't preempt another customer for at least this long preempt = PREEMPT_TIME; /// Put the new customer at the front of the line line.push_front(c); } /// otherwise just put the customer at the end of the line else { cout << "Clerk: The new customer is at the back of the line" << endl; line.push_back(c); } } }
The internal transition function begins by decrementing the time remaining before the clerk will interrupt an order. The customer that just departed the store via the output function is then removed from the front of the line. If the line is empty, then there is nothing to do and the clerk sits idly behind her counter. If the line is not empty and the preemption time has expired, then the clerk scans the line for the first customer with a small order. If such a customer can be found, that customer moves to the front of the line. Then the clerk starts ringing up the first customer in her line. Here is the internal transition function for the Clerk2 model.
void Clerk2::delta_int() { // Update the clerk's clock t += ta(); // Update the preemption timer preempt -= ta(); // Remove the departing customer from the front of the line. // The departing customer will be deleted later by our garbage // collection method. line.pop_front(); // Check to see if any customers are waiting. if (line.empty()) { cout << "Clerk: The line is empty at t = " << t << endl; return; } // If the preemption time has passed, then look for a small // order that can be promoted to the front of the line. list<customer_info_t>::iterator i; for (i = line.begin(); i != line.end() && preempt <= 0.0; i++) { if ((*i).t_left <= SMALL_ORDER) { cout << "Clerk: A queued customer has a small order at time " << t << endl; customer_info_t small_order = *i; line.erase(i); line.push_front(small_order); preempt = PREEMPT_TIME; break; } } }
The time advance function returns the time remaining to process the customer at the front of the line, or infinity (i.e., DBL_MAX) if there are no customers to process.
double Clerk2::ta() { // If the line is empty, then there is nothing to do if (line.empty()) return DBL_MAX; // Otherwise, wait until the first customer will leave else return line.front().t_left; }
The last function to implement is the confluent transition function. The Clerk2 model has the same confluent transition as the Clerk in section 3:
void Clerk2::delta_conf(const Bag<IO_Type>& xb) { delta_int(); delta_ext(0.0,xb); }
The behavior of the Clerk2 model is more complex than that of the Clerk model. To exercise the Clerk2, we replace the Clerk model in the example from section 3 with the Clerk2 model and perform the same experiment. Here is the output trace for the Clerk2 model in response to the input sequence shown in Table 4.1. This trace was generated by the print statements shown in the source code listings for the Clerk2 model.
Clerk: A new customer arrived at t = 1 Clerk: The new customer has preempted the current one! Clerk: A customer departed at t = 2 Clerk: The line is empty at t = 2 Clerk: A new customer arrived at t = 2 Clerk: The new customer is at the back of the line Clerk: A new customer arrived at t = 3 Clerk: The new customer is at the back of the line Clerk: A new customer arrived at t = 5 Clerk: The new customer is at the back of the line Clerk: A customer departed at t = 6 Clerk: A new customer arrived at t = 7 Clerk: The new customer is at the back of the line Clerk: A new customer arrived at t = 8 Clerk: The new customer is at the back of the line Clerk: A customer departed at t = 10 Clerk: A new customer arrived at t = 10 Clerk: The new customer is at the back of the line Clerk: A new customer arrived at t = 11 Clerk: The new customer has preempted the current one! Clerk: A customer departed at t = 12 Clerk: A customer departed at t = 13 Clerk: A customer departed at t = 23 Clerk: A customer departed at t = 43 Clerk: A customer departed at t = 45 Clerk: The line is empty at t = 45
The evolution of the Clerk2 line is depicted in Fig. 4.1. Until time 11, the line evolves just as it did with the Clerk model. At time 11, the Clerk2 changes the course of the simulation by moving a customer with a small order to the front of the line.


It can be seen from these tables that for both platforms, the most popular show genre is talent show, since it has the highest view counts and media rate. However, audiences give the lowest scores for these shows, which may due to the controversial results in talent competitions. On the other hand, audiences think highly of travel shows, but this genre is of low awareness from the perspective of view counts and media rate. One genre that performs well in both fields is the dating/relationship show.
When comparing the two platforms, we can see that Tencent Video has better performance generally, especially in view counts and audience rate. This may partially due to their advantage in star influence, since they have the 4 out of the 5 most influential stars. Still, IQiyi's programs are well-known since they have high media rate.


Docker Image Library
A curated list of Docker images useful for Java developers; look for the image you want to setup on Docker and follow the steps. Before you follow the instructions, make sure your Docker is running on the computer.
Jenkins
1
Pull Jenkins image from Docker Hub
$ docker pull jenkins/jenkins:lts-jdk11
2
Run newly downloaded Jenkins image
$ docker run -d --name jenkins -p 8085:8080 -v E:/code/docker_volume/jenkins:/var/jenkins_home jenkins/jenkins:lts-jdk11
-d Runs container in background
--name This container will run under the name of ‘jenkins’
-p 8080 is default Jenkins port and we are mapping to 8085 on the local host
-v Configured Volume to store Jenkins job information, so next time we restart, we will see all previous ran jobs in history
3
Verify if Jenkins started properly. Execute Docker log command to view Jenkins logs and check if the log ends with something like this; Jenkins is fully up and running
$ docker container logs jenkins
4
Access Jenkins console using the browser; http://localhost:8085
It is the first time we accessed the Jenkins console, so it prompts us to enter a password. Jenkin writes an initial password to a file. This password
file path is /var/jenkins_home/secrets/initialAdminPassword
5
Retrieve the password by accessing the container’s bash.
$ docker container exec -it jenkins /bin/bash
Read password from file; /var/jenkins_home/secrets/initialAdminPassword
$ cat /var/jenkins_home/secrets/initialAdminPassword
Copy the output
6
Paste it in the password field on the Jenkins login page, then click on Continue. Jenkins will redirect us to the Plugin installation page. Click on Suggested Plugin Option to install default plugins. It will take a couple of minutes, and then it will take us to the user’s page, create an admin user so next time you can use these credentials to login Jenkins console.
7
Now we have our Jenkins running on the Docker.
Use this Docker CLI cheat sheet to refer Docker CLI commands.
MySQL
1
Pull MySQL image from Docker Hub
$ docker pull mysql:8.0.22
2
Run newly downloaded MySQL image
$ docker run -d --name mysql -p 2306:3306 -e MYSQL_ROOT_PASSWORD=secret-pw -v E:/code/docker_volume/mysql:/var/lib/mysql mysql:8.0.22
-d Runs container in background
--name This container will run under the name of ‘mysql’
-p 3306 is MySQL’s default port, so we are mapping it to 2306 on the local host
-e Pass initial password for the admin user -v Configure volume so that MySQL can store data
3
Verify if MySQL started properly by checking the last line in the log, which says something like this; ready for connections
$ docker container logs mysql
4
Use any MySQL client to verify if connection is succesfull.
Here I used MySQL CLI client to verify the connection. From the terminal, execute the below command;
$ mysql -uroot -psecret-pw -h localhost -P 2306
If the connection is a success, then we get an SQL prompt.
5
Now we have our MySQL running on the Docker.
MongoDB
1
Pull Mongo image from Docker Hub
$ docker pull mongo:latest
2
Run newly downloaded Mongo image
$ docker run -d --name mongo -p 27017:27017 -v E:/code/docker_volume/mongo:/data/db mongo:latest
-d Runs container in background
--name This container will run under the name of ‘mongo’
-p Mongo uses 27017 as default port, so we are mapping to 27017 on the local host
-v We configured volume, so Mongo will use this space to store data
3
Verify if Mongo started properly by checking the logs, you should see a line saying Waiting for connections
$ docker container logs mongo
4
Access bash of Mongo container by executing command
$ docker container exec -it mongo /bin/bash
Now access Mongo shell by executing below command; this will connect to local mongo at port 27017
$ mongo -host localhost -port 27017
If you see Mongo prompt, then the connection is successfull and Mongo DB is up.
5
We have our Mongo DB running on the Docker.
Use this Docker CLI cheat sheet to refer Docker CLI commands.
ActiveMQ
1
Pull ActiveMQ image from Docker Hub
$ docker pull rmohr/activemq:5.15.9-alpine
Note: This is not an official image. I didn’t found any official ActiveMQ image on Docker Hub, but I found instructions to create one on the ActiveMQ website. Click here for the instructions.
2
Run newly downloaded ActiveMQ image
$ docker run -d --name activemq -p 61616:61616 -p 8161:8161 -v E:/code/docker_volume/activemq/conf:/opt/activemq/conf -v E:/code/docker_volume/activemq/data:/opt/activemq/data rmohr/activemq:5.15.9-alpine
-d Runs container in background
--name This container will run under the name of ‘activemq’
-p ActiveMQ uses 61616 and 8161 as default ports, so we are mapping same ports on the local host
-v Configured volume for ‘conf’ and ‘data’ folders, so data will be available on the next startup.
NOTE: Make sure to replace E:/code/docker_volume/activemq/* folder with the path according to your local.
3
Provide a default configuration. ActiveMQ expects default configuration files in the /opt/activemq/conf folder. It will be empty by default so we will see errors in the ActiveMQ startup logs. To fix this, click here to download the default configuration, then extract and copy it to your local conf folder (which is E:/code/docker_volume/activemq/conf in above case).
4
Start ActiveMQ by executing below command
$ docker container start activemq
Now access ActiveMQ logs to check if there are no errors.
$ docker container logs activemq
Make sure no errors in the log.
5
Access ActiveMQ console by going to http://localhost:8161/admin
Provide default admin credentials; username: admin and password: admin
6
We have our ActiveMQ running on the Docker.
MariaDB
1
Pull MariaDB image from Docker Hub
$ docker pull mariadb:10.5
2
Run newly downloaded MariaDB image
$ docker run -d --name mariadb -p 3310:3306 -v E:/code/docker_volume/mariadb:/var/lib/mysql -e MYSQL_ROOT_PASSWORD=secret-pw mariadb:10.5
-d Runs container in background
--name This container will run under the name of ‘mariadb’
-p MariaDB listens on 3306 port and I mapped it to 3310 on the local host
-v Configured volume to store data on local host, so data will be available on the next startup.
NOTE: Make sure to replace E:/code/docker_volume/mariadb folder with the path according to your local.
3
Verify MariaDB logs to check if there are no errors.
$ docker container logs mariadb
Make sure no errors in the log.
4
Use any MySQL client to verify if connection is succesfull.
Here I used MySQL CLI client to verify the connection. From the terminal, execute the below command;
$ mysql -uroot -psecret-pw -h localhost -P 3310
If the connection is a success, then we get an SQL prompt.
5
We have our MariaDB running on the Docker.
Each step starts with an action icon; this icon will give you an idea of what kind of work we will do in this step.
- Terminal
- Browser
- Code editor
- Info


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