 For the entirety of its running time, my eyes were attached to the screen, and I never once got bored. I found the film interesting because of its unique awfulness: this is such a confused disaster of a film that it's entertaining to watch it in the same way that it's entertaining to witness a thirty car pileup on a freeway spaghetti bowl.
As a narrative, The Big Hit is pure garbage, never truly deciding its genre and constantly crossing all kinds of boundaries. It reminded me a lot of Grosse Pointe Blank, which is a similar film that fails in a lot of the same ways. It's fine to mix genres, if the film makers know what they're doing. Unfortunately, writer Ben Ramsey and director Kirk Wong don't seem to know how to handle the material, and the result is an action film that wants to be a comedy. The biggest problem with the amalgamation, in this case, is that the film is absurd and the comedy is out of place. But it sure is a fascinating failure.
Marky . . . er, Mark Wahlberg stars as Melvin Surley, a hitman. He's a good hitman, apparently, although his tactics seem a bit rambunctious (he doesn't snipe or make clean kills--he just kicks the door down and shoots everything). He works with a few other hitmen--Cisco (Lou Diamond Phillips), Crunch (Bokeem Woodbine), and Vinnie (Antonio Sabbato, Jr.).
They all work for a man named Paris (Avery Brooks), who is rich, powerful, and in constant need of four sloppy hitmen. It is very important that they never go beyond their boss and do work on their own; this, of course, is where the plot comes in. They decide to kidnap a young Japanese girl named Keiko (China Chow), who has a rich father. When they do this, it turns out she is Paris' . . . Goddaughter! It's very bad to have Paris against you.
The story is standard action film stuff. It's nothing new, and nothing particularly offensive (but certainly not the slightest bit compelling). Clearly the major selling point of The Big Hit is that it's a John Woo-type of action film mixed in with some really hip comedy. It's true that a lot of the action sequences resemble recent films that go for the same idea (such as Face/Off and The Replacement Killers, which are both far superior). There are stunts that are fun to watch: the opening sequence has Melvin and two of his partners going in to kill some guy who has nothing to do with the story. They use night vision goggles and really powerful handguns. Melvin is also very good at breakdancing, and uses this talent to avoid bullets and knives.
Like I said, it's not boring; most disasters aren't. What makes it so bad is its genre-shifting madness. It seems to start out as a quirky-but-realistic action comedy, as Melvin is seen transporting bags of human remains. Then, as soon as they go to their first hit, it turns into a music video with bodies and bullets flying everywhere. Then, somewhere in between, it turns back into comedy. Keiko turns out to be a spunky little girl; in one amusing scene, she is forced to read a letter out loud, indicating that she has been kidnapped, but the letter is littered with grammatical errors that skew the meaning of the words.
And scenes like this work alone, but Wong applies this goofy tone to scenes that should be more serious, or not be in the film at all. One of the most irritating moments has Paris ordering Cisco to come up to his office after he learns that Keiko has been kidnapped; when Cisco gets there, Paris and his men are standing around as if they knew Cisco did it, but they let him out of there, telling him to find the perpetrator. The scene is played for laughs, but it isn't funny.
And since it doesn't quite work as a comedy, it tries to fall back on the action, which also fails. This is a film where people fly fifteen feet backwards when shot with a handgun. Cars land on tree branches and are supported by them. Characters betray each other without a second thought. Grenades are thrown in tight places. People jump out of tall buildings and survive. People outrun tumbling cars, and get out of the way of falling objects in small fractions of seconds. Most frustrating of all, though, is the film's definition of a hit man: these guys are anything but subtle, quiet, and skilled individuals. They're more like socially depraved militia men (Melvin has an extensive collection of firearms in his garage, including missile launchers and hand-held machineguns).
The characters each have one trait that distinguishes them from the rest; this obviously doesn't make for deep or interesting people to watch. The acting is kind of fun, though--Wahlberg is a good actor, and his innocuous presence in this film is charming in a silly sort of way. Phillips certainly has fun with his psychotic character, while Christina Applegate, who plays Melvin's fiancée, is convincingly air-headed.
The Big Hit is an action film that unknowingly spoofs itself in trying to be funny. The funniest parts are supplied by the actors, and not by the numerous failed attempts at sight gags and one-liners. It's a true disaster, one that makes me believe that the goofy and unrealistic tone is completely unintentional. Despite all this, though, I must reiterate the entertainment value here. You can cherish the awfulness of a film like this. If you embrace The Big Hit for the catastrophe that it is, you just might enjoy yourself.
*1/2 out of **** (3/10, D)
Visit FILM PSYCHOSIS at http://www.pyramid.net/natesmovies
Nathaniel R. Atcheson
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Related links: index of all rec.arts.movies.reviews reviews


Enabling security allows configuring authentication (how people can identify themselves) and authorization (what permissions they get).
A number of options are built in. Please note that granting significant permissions to anonymous users, or allowing users to sign up and granting permissions to all authenticated users, does not actually increase security.
For more information about security and Jenkins, see this document.


Basic Formal Ontology and Relation Ontology in Grakn¶
Overview¶
Purpose¶
To provide an upper-level ontology to underpin domain ontologies in Grakn
Description¶
Basic Formal Ontology and the Relation Ontology are well established upper- level ontologies used especially in the sciences (see references)
This schema maps BFO and select parts of RO to the Grakn hypergraph data model
Usage¶
grakn server start
grakn console --keyspace bfo --file <path-to-this-file>`
Now interact with the keyspace using a Grakn API, the console or Grakn workbase. The keyspace is meant to be used as a basis for domain ontologies by providing abstract classes from which sub-classes can inherit.
References¶
BFO github wiki: https://github.com/bfo-ontology/BFO/wiki
Relation Ontology core github wiki: https://github.com/oborel/obo-relations/wiki/ROCore
Notes¶
- metadata
The original metadata is available in the OWL implementations
- ontology versions
Basic Formal Ontology version 2.0
Relation Ontology 2019-02-02 release
- this doc status
alpha
Classes¶
EntityType¶
continuant¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- elucidation
Continuant entities are entities which can be sliced to yield parts only along the spatial dimension.
- issues
- Grakn parent
entity
- Grakn notes
BFO continuants map not only to Grakn EntityTypes, but also to AttributeTypes and roles
independent-continuant¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- definition
b is an independent continuant = Def. b is a continuant which is such that there is no c and no t such that b s-depends_on c at t.
- issues
- Grakn parent
immaterial-entity¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- elucidation
Immaterial entities are divided into two subgroups: boundaries and sites, which bound, or are demarcated in relation, to material entities, and which can thus change location, shape and size and as their material hosts move or change shape or size (for example: your nasal passage; the boundary of Wales (which moves with the rotation of the Earth)
- Grakn parent
continuant-fiat-boundary¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- elucidation
Basic Formal Ontology 2.0: a zero-dimensional continuant fiat boundary is a fiat point whose location is defined in relation to some material entity.
- examples
the geographic North Pole; the quadripoint where the boundaries of Colorado, Utah, New Mexico, and Arizona meet
- Grakn parent
zero-dimensional-continuant-fiat-boundary¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- Grakn parent
one-dimensional-continuant-fiat-boundary¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- reference
Basic Formal Ontology 2.0 Reference
- Grakn parent
two-dimensional-continuant-fiat-boundary¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- reference
Basic Formal Ontology 2.0 Reference
- Grakn parent
site¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- examples
the interior of an egg, the environment of a cow
- issues
- Grakn parent
spatial-region¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- note
We recommend that users of BFO region terms specify the coordinate frame in terms of which their spatial and temporal data are represented.
- examples
When dealing with spatial regions on the surface of the Earth, for example, this will be the coordinate frame of latitude and longitude, potentially supplemented by the dimension of altitude. Lines of latitude and longitude are two-dimensional continuant fiat boundaries which move as the planet rotates and as it moves in orbiting the sun; however, they are by definition at rest relative to the coordinate frame which they determine.
- Grakn parent
material-entity¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- elucidation
A material entity is an independent continuant that has some portion of matter as proper or improper continuant part. Material entities (continuants) can preserve their identity even while gaining and losing material parts. Every material entity is localized and can move in space. Material entities are concretized specifically-dependent-continuants.
- examples
a photon, a human being
- note
The BFO user's guide document emphasises that Object, Fiat Object Part and Object Aggregate are not intended to be exhaustive of Material Entity
- Grakn parent
object¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- elucidation
an object is a maximal causally unified material entit. It offers three paradigms of causal unity: (1) cells, proteins, molecules (2) solid portions of matter (3) engineered artefacts
- examples
a photon, a human being
- Grakn parent
fiat-object-part¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- examples
the wall of the cervical and abdominal parts of the esophagus
- notes
in the diagram this is just called fiat object but in the BFO 2.0 user's guide it is referred to as fiat object part
- Grakn parent
object-aggregate¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- examples
organisms, populations, organizations, institutions
- issues
- Grakn parent
generically-dependent-continuant¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- elucidation
A generically dependent continuant is a replicable, portable patterns which is concretized as a specifically dependent continuant in an independent continuants.
- examples
Beethoven's ninth symphony, a chess board pattern.
- issues
- Grakn parent
specifically-dependent-continuant¶
- ontology
Basic Formal Ontology v2.0
- source
- purl
- elucidation
a specifically-dependent-continuant is a concretization of some generically dependent continuant pattern. The SDC depends for its existence on the independent continuant in which it inheres
- examples
a smile, the black and white colouring on a chess board
- Grakn notes
Some BFO one-sided specifically-dependent-continuants (e.g. qualities) map to Grakn attributes, but others (e.g. this specific novel which specifically depends on its concretization on the ink and paper with which it is printed) map to Grakn EntityTypes, others to roles or relations. Only a few cases, such as a realization of a disease, call for this EntityType to be used.
- Grakn parent


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WARNING
Content Under Development
See
release page for
latest official PDF version.
**Chapter 10: Some Architectural Decisions**
I won't write any code in this chapter. We’re at a crossroads where I need to make some
architectural decisions. The mixture-density approach is to not have traditional shadow rays and is
something I personally like, because in addition to lights you can sample windows or bright cracks
under doors or whatever else you think might be bright. But most programs branch, and send one or
more terminal rays to lights explicitly and one according to the reflective distribution of the
surface. This could be a time you want faster convergence on more restricted scenes and add shadow
rays; that’s a personal design preference.
There are some other issues with the code.
The pdf construction is hard coded in the color() function and we should clean that up. Probably we
should pass something into color about the lights. Unlike bvh construction, we should be careful
about memory leaks as there are an unbounded number of samples.
The specular rays (glass and metal) are no longer supported. The math would work out if we just made
their scattering function a delta function . But that would be floating point disaster. We could
either separate out specular reflections, or have surface roughness never be zero and have
almost-mirrors that look perfectly smooth but don’t generate NaNs. I don’t have an opinion on which
way to do it -- I have tried both and they both have their advantages -- but we have smooth metal
and glass code anyway, so I add perfect specular surfaces that do not do explicit f()/p()
calculations.
We also lack a real background function infrastructure in case we want to add an environment map or
more interesting functional background. Some environment maps are HDR (the R/G/B components are
floats rather than 0-255 bytes usually interpreted as 0-1). Our output has been HDR all along and
we’ve just been truncating it.
Finally, our renderer is RGB and a more physically-based one -- like an automobile manufacturer
might use -- would probably need to use spectral colors and maybe even polarization. For a movie
renderer, you would probably want RGB. You can make a hybrid renderer that has both modes, but that
is of course harder. I’m going to stick to RGB for now, but I will revisit this near the end of the
book.


Aggregate: Data that is composed of smaller pieces that
form a larger whole.
Algorithm: Set of instructions designed to perform a
specific task.
Angular: A framework for dynamic web apps. Allows for the
use of HTML as a template language.
Application Programming Interface (API): Set of functions
and procedures allowing the creation of applications that access
features of an operating system, applications, etc.
Archive: Contains multiple files and/or folders. May be
created by several different utilities and may be saved in
different formats.
Artifact: Combination of arte, “by skill”, and factum, “to
make”. A file or document.
Backlink: A hyperlink that links from a web page, back to
your own web page or website.
Blackboard: A tool that allows faculty to add resources for
students to access online.
Centralized: Type of network where all users connect to a
central server.
Course Websites from Markdown (CoWeM): A system for
building course websites, including notes, slides, and
organizational pages, from Markdown documents.
Cascading Style Sheet (CSS): Used to format the layout of
web pages. Defines text styles, table sizes, among other things
that previously could only be defined in HTML.
Database: Collection of information, that is organized for
rapid search and retrieval.
Data Loss: An instance in which information is destroyed by
failures or neglect.
Diff: A line by line comparison of normalized artifacts.
Docker: Tool to create, deploy, and run application by
using containers. Allow developers to package up an application,
with all parts needed, to be deployed in one package.
Export: Taking data from one program or computer to
another.
GitLab: Used to provide internal management of git
repositories. Is a self hosted Git-repository management system
that keeps the user code private.
Graphical User Interface (GUI): User interface that
contains graphical elements. Examples include windows, icons and
buttons.
Hypertext Markup Language (HTML): A language used to create
web pages. “Hypertext” refers to hyperlinks in a page, and “Markup
language” refers to the way tags are used to define page layout.
Hyperlink: An element that links to another file or object.
JavaScript (JS): A language used in web development. While
influenced by Java, It’s syntax is more similar to C.
Knowledge Management: The management process of creating,
capturing, sharing, retrieving, and storing of data, information,
knowledge experiences and skills by using appropriate information
and network technology.
Markdown: A markup language that can be used to format
plain text. Can be converted into another language.
Markup: A language that uses tags to define elements within
a document.
MySQL: Open source SQL database management system.
Developed and distributed by Oracle Corporation.
Normalization: Converting ingested objects into a small
number of pre-selected formats
Python: An interpreted, object-oriented language.
Personal Learning Environment (PLE): An interface used in
flexible online courses. Designed by ODU’s Center for Learning and
Teaching
pydoc: Automatically generates documentation from Python
modules. Can be presented as pages of text on the console, served
to a web browser, or saved to HTML files.
Pylint: A Python static code analysis tool. Looks for
programming errors and warnings from within the code, as well as
from an extensive configuration file.
React: A JavaScript library that is used to create User
Interfaces for web applications.
reStructuredText: A plaintext markup syntax and parser
system. Useful for in-line program documentation.
Sphinx: A Python documentation generator. Converts
reStructuredText files into HTML websites and other formats.
Tags: Is a keyword or term assigned to a piece of
information.
tox: Aims to automate and standardize testing in Python. Is
a generic virtualenv management and test command line tool.
Visual Studio Code: A source code editor that runs on Mac,
Linux, and Windows.


BitmovinApiSdk\Models\AsperaInput
Synopsis
class AsperaInput
extends Input
{
- // members
- public string $minBandwidth;
- public string $maxBandwidth;
- public string $host;
- public string $username;
- public string $password;
- public string $token;
- public int $sshPort;
- public int $faspPort;
- // Inherited members from Input
- public static string $discriminatorName;
- public static array $discriminatorMapping;
- // Inherited members from BitmovinResource
- public string $name;
- public string $description;
- public Carbon $createdAt;
- public Carbon $modifiedAt;
- public mixed $customData;
- // Inherited members from BitmovinResponse
- public string $id;
- // methods
- public void __construct()
- public $this minBandwidth()
- public $this maxBandwidth()
- public $this host()
- public $this username()
- public $this password()
- public $this token()
- public $this sshPort()
- public $this faspPort()
- // Inherited methods from Input
- public void __construct()
- // Inherited methods from BitmovinResource
- public void __construct()
- public $this name()
- public $this description()
- public $this customData()
- // Inherited methods from BitmovinResponse
- public void __construct()
- // Inherited methods from ApiResource
- public void __construct()
- public static $this create()
- public void toArray()
Hierarchy
Extends
Members
public
- $createdAt — Carbon\Carbon
- $customData — mixed
- $description — string
- $discriminatorMapping
- $discriminatorName
- $faspPort — int
- $host — string
- $id — string
- $maxBandwidth — string
- $minBandwidth — string
- $modifiedAt — Carbon\Carbon
- $name — string
- $password — string
- $sshPort — int
- $token — string
- $username — string
Methods
public
- __construct()
- faspPort() — Set the UDP port to be used by fasp for data transfer
- host() — Host to use for Aspera transfers (required)
- maxBandwidth() — Maximal download bandwidth. Examples: 100k, 100m, 100g
- minBandwidth() — Minimal download bandwidth. Examples: 100k, 100m, 100g
- password() — corresponding password (either password and user must be set or token)
- sshPort() — Set the TCP port to be used for fasp session initiation
- token() — Token used for authentication (either password and user must be set or token)
- username() — Username to log into Aspera host (either password and user must be set or token)
Inherited from BitmovinApiSdk\Models\BitmovinResource
public
- customData() — User-specific meta data. This can hold anything.
- description() — Description of the resource. Can be freely chosen by the user.
- name() — Name of the resource. Can be freely chosen by the user.


The best feeling I've ever had, that stole my life...
I first discovered nitrous at a Reggae Fest with one of my good friends. We both had a big balloon, sat down in the grass, there were people around having fun, the sun was shining down on us and music playing. Everything was surrounding us with nothing but positive energy. Having never tried it I started with a quite small 'puff' the small feeling I had after only inhaling a such small amout was great. I felt slighly light headed and very happy!! I then wanted to try it in a more intense way, so I took the deepest breath posible in the ballon held my breath as long as possible and repeated for a second consecutive breath. My friend was sitting beside me and did the same thing... I then felt as if we were both alone -althought there was a whole lot of action going on around us. I don't really remember us saying anything to each other, we'd just laugh together and feel like we were on the top of the world...
The trip doesn't last very long and only having one balloon each, the great feeling soon ended. But I was NOT going to forget about that great feeling so soon...Years went by and I'd still talk about that GREAT trip we had me and my friend, but never had the opportunity to get any again. I knew you could get a hight from wipped cream cylinders. Tried once or twice, maybe I wasn't doing it right, but I never had any trip doing it that way so I just 'forgot' about it until...I graduated from college last year, wich provided me with a great job in a hospital. The job I have lets me get in contact with the whole anesthesia machine. On which Nitrous is available at various concentrations (always at least 20% O2).
One day, I couldn't help myself from trying a little hit of Nitrous -my long lost love I had mised over the years. The operations for the day were finished and my shift was done, I had just finished setting everything up for the next day. Everybody was gone so I thought lets try it just to see if it's like I once experienced.... Obviously the experience was as good as the first. (I must say it was A LOT more fun the first time tought not being alone and the hole circomstance completly different) The nice rush and freedom feeling was still there. I found myself taking a puff or two now and then when I knew I wasn't getting any patients for a while, sometimes even spending a whole hour taking some.
I had many strong experiences of hallucinations that I had never had before. They'd be so intense but wouldn't always feel right cause I knew I was doing something wrong. For example I'd feel as if there were other presences in the room with me (kind of like angels) I'd find myself talking to myself (I'm not even sure if I was really talking or just hallucinating myself talking...) cause I thought there were other people around. Just the thought of taking a 'puff' would make my heart pound and I could feel the blood rushing throught my veines. I would have given anything just to bring a bunch of Nitrous filled ballons home so I could share the experience with friends in a intelligent place and not feel the guilt I felt everytime I did it at the hospital.
I just wish I would have been able to take control and not do it anymore. I had enough one day and told my boss about it which cost me my job...the job I have been working on to get all of my life. Now, I feel completely devestated but I still hope one day I'll find out where I can get a tank and take some at home to relax in a absolutely safe and responsible way. But until then I have to live with the bad news I learned today (the lost of my job)and try to figure out what I'm going back to school to study in.. I just hope I can open some peoples eyes and make them think before they take any type of drug. I now know that there is a time and a place for those type of things.
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.


A pure Javascript date range picker for hotels.
Range between 1 and 7 nights
1
7
var input = document.getElementById('input-id'); var datepicker = new HotelDatepicker(input, { minNights: 1, maxNights: 7 });


{% extends "base_generic.html" %}
{% block content %}
| No. | Event Type | Trigger Word(s) | Polarity | Polarity Cue | Modality | Modality Cue |
|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ event.event_type}} | {{ event.trigger}} | {{ event.polarity}} | {{event.polarity_cue}} | {{ event.modality}} | {{event.modality_cue}} |
There are events identified for this sentence.
{% endif %} What you need to check for:


{% extends "common/error.html" %} {% load i18n %} {% load static %} {% block error_image %}{% endblock %} {% block error_message %}
{% translate "Verification failed." %}
{% blocktranslate trimmed %}
We could not verify that this request really was sent by you. For security reasons, we cannot process it.
Please go back to the last page, refresh, and then try again.
{% endblocktranslate %}


I am a Hacker, Programmer, Bug Bounty Hunter and Security enthusiast from the UK. I have been studying IT for 7 years and hacking for 1 year.
I actively do HackTheBox and part of a top 4 HTB team called TCLRed
HTB Profile: https://www.hackthebox.eu/profile/109871


Hi, welcome to Ploadit!
Ploadit is an online study resource that allows Gunn students to share notes and knowledge.
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Anti-Freeze V 1.0
|
Classes | |
| class | ThreadVar |
Public Member Functions | |
| SCPWorker (SCPJob taskToRun) | |
| void | run () |
| SCPJobInterface | runTask () |
| void | finished () |
| void | interrupt () |
| Object | get () |
| void | start () |
Protected Member Functions | |
| synchronized Object | getValue () |
Definition at line 18 of file SCPWorker.java.
| com.wms.antifreeze.view.SCPWorker.SCPWorker | ( | SCPJob | taskToRun | ) |
Creates a new instance of SCPWorker
Definition at line 25 of file SCPWorker.java.
| void com.wms.antifreeze.view.SCPWorker.finished | ( | ) |
Called on the event dispatching thread (not on the worker thread) after the construct
method has returned.
Definition at line 94 of file SCPWorker.java.
| Object com.wms.antifreeze.view.SCPWorker.get | ( | ) |
Return the value created by the construct
method. Returns null if either the constructing thread or the current thread was interrupted before a value was produced.
construct
method Definition at line 116 of file SCPWorker.java.
| synchronized Object com.wms.antifreeze.view.SCPWorker.getValue | ( | ) | [protected] |
Get the value produced by the worker thread, or null if it hasn't been constructed yet.
Definition at line 79 of file SCPWorker.java.
| void com.wms.antifreeze.view.SCPWorker.interrupt | ( | ) |
A new method that interrupts the worker thread. Call this method to force the worker to stop what it's doing.
Definition at line 101 of file SCPWorker.java.
| void com.wms.antifreeze.view.SCPWorker.run | ( | ) |
| SCPJobInterface com.wms.antifreeze.view.SCPWorker.runTask | ( | ) |
Definition at line 55 of file SCPWorker.java.
| void com.wms.antifreeze.view.SCPWorker.start | ( | ) |
Start the worker thread.
Definition at line 136 of file SCPWorker.java.


--- layout: page title: "About" description: "Hey, this is Xulibao." header-img: "img/about-bg.jpg" ---
写写代码，做做设计，看看产品。 世界那么大，多玩玩看看。
程序员，目前在金桐做一名iOS开发工程师。偶尔也想成为一名产品工程师，因为听他们说他们的产品总能改变世界。
设计师，觉得设计师好牛X，设计师的标配是一杯咖啡和一个MacBook 再加上放上两本书，一副眼睛么，什么UI/UX Designer的，人人不都是设计师？您是个有主见的人吗？当然！没错！您一直坚定地按照自己的意愿生活着。不过，或许也可以这么说：您一直是在按照别人设计好的样子“有主见”地生活着…… 从牛顿到爱因斯坦，无数科学家束缚在牛顿的三维空间体系类，爱因斯坦跳出了牛顿已知的系统，把时间这个维度加进去了。你是否在设计的你的生活？还是被设计？
产品狗，热衷于 Web & Mobile 产品，知乎用户。手机收藏癖，轻微职业病，没事想想用户痛点、行业趋势、商业模式，无论身处什么职位都很在乎产品本身
人类，喜欢听歌，轻微抖腿狂 HipHop ，纯音乐什么都来 也爱好出去玩、不会把妹，和家里人什么都说 ，有点逗逼，没事刷刷微博知乎，只看不发那种 而且还喜欢评论某些人
哦对了，我叫徐礼宝
Designer or Engineer, things in between.
Programmer, is currently working with Gintong to do a iOS development engineer. Occasionally want to become a product engineer, because they say that their products can always change the world.
Designers,it feel good designers cattle X, the designers of the standard is a cup of coffee and a MacBook and put two of the book, a pair of eyes? What UI / UX designer, everyone is not the designer? Are you a strong minded person? Of course You're right You have been firmly in accordance with their wishes to live. However, it may also be said that: you have been in accordance with the design of others like a mind to live...... From Newton to Einstein, many scientists tied to the three-dimensional space system in Newton, Einstein jumped out of the system known to Newton, the time of this dimension added. Are you in the design of your life? Or is it designed?
Product Design and Program Management is also attractive and comfortable to me.
My Chinese name is Libao Xu
My dream position include:


3 Hands-on 1: introduction to R tools
The hands-on sessions consists of a set of questions and example data. Solve the exercises by taking advantage of the online examples and resources that are pointed out in the study material. There is often more than one way to solve a given task. It is assumed that you have already installed the required software. Do not hesitate to ask support from the course assistants.
3.1 Part I: Reproducible reporting with Rmarkdown
Reproducible reporting is the starting point for reporting. Perform the following tasks:
Create a Rmarkdown template in RStudio, and render it into a document (markdown, PDF, docx or other format)
If you are entirely new to Markdown, take this 10 minute tutorial to get introduced to the most important functions within Markdown. Then experiment with different options with Rmarkdown
In case you are new to Rmarkdown Rstudio provides ressources to learn about the use cases and the basics of Rmarkdown. A good online tutorial to reproducible reporting is available by Dr. C Titus Brown.
3.2 Part II: Phyloseq data structure
Next, let us investigate in more detail how taxonomic profiling data is organized in R. The data structure is called phyloseq (McMurdie and Holmes, 2013).
In this course, we focus on downstream analysis of taxonomic profiling data, and assume that the data has already been appropriately preprocessed and converted in the phyloseq format. The exact steps vary based on the 16S profiling platform. Hands-on examples for converting the Illumina MiSeq sequencing data into R phyloseq object can be found from Bioconductor Workflow for Microbiome Data Analysis: from raw reads to community analyses (Callahan et al. F1000, 2016).
Provide the answers to at least some of the following questions in the form of a reproducible report (with Rmarkdown). Include the code that you use to retrieve the results. We will release code that provides solutions to all exercises.
Load example data of the two-week diet swap study between western (USA) and traditional (rural Africa) diets from microbiome R package. The example data sets are already in the phyloseq format. R provides many readily available tools to handle and analyze taxonomic profiling data that is provided in this format.
Microbal abundances / OTU Table retrieve the microbial (OTU) abundance table from the example data set (phyloseq object). This example data set has abundances at the genus level instead of OTU level. Tip: microbiome::abundances or phyloseq::otu_table
OTU tables Retrieve the OTU table and investigate: 1) How many different samples and genus-level groups this phyloseq object has? What is the maximum abundance of Akkermansia in this data set? Tips: see data operations in the microbiome tutorial
Draw a histogram of library sizes (total number of reads per sample). You can use the readcount function, or count the sum of reads per sample by using the colSums command applied on the otu table abundances. The key idea is that different samples may have different bacterial load. Check Vandeputte et al. 2017 for further discussion on the differences between absolute and relative quantification of microbial abundances.
Taxonomy table Retrieve the taxonomy table and print out the first few lines of it with the R command head(). Investigate how many different phylum-level groups this phyloseq object has? Tips: phyloseq::tax_table and unique.
Sample metadata Retrieve sample metadata. How many unique subjects this data set has? What is the male/female ratio? Draw a histogram of subject ages. Tips: microbiome::meta
3.3 Part III: Data manipulation and exploration
Subsetting Pick a subset of the phyloseq object including only male and obese individuals. How many there are? Tips: subset_samples
Transformations The phyloseq data has absolute abundances. Use the microbiome::transform command to convert these into relative abundances. Compare Akkermansia abundance using the example data before and after the compositionality transformation (with a cross-plot, for instance). Finally, compare the results to CLR- transformed data (see e.g. Gloor et al. 2017)
Visual exploration Visualize the population distribution of abundances for the following taxa: Akkermansia, Dialister, Gemella. Do the same for CLR-transformed abundances. Tip: microbiome::plot_density / microbiome::transform
Experiment with other phyloseq data manipulation tools


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In this digital generation where information can be easily obtained within seconds, business cards still have retained their importance in the achievement of increased business exposure and business sales. If your business already has a bunch of printed cards distributed to a number of potential customers and yet you do not see any improvement in your market reach, then it’s high time to revamp your old business card. Take out your business card and look at it in an objective point of view. If you were the customer, would you want to keep the card, or throw it away
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Forget Ebay and other forms of advertising for your property
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A gentleman from New York discovered what he calls
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Spielberg’s blockbuster Minority Report


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Brittany Reiser
Democrat
Program Manager for Harte Hanks, working for the client Cisco Solutions.
Graduated from Colorado State University in 2010 with a Bachelor of Arts degree. I double-majored in Journalism and Technical Communication as well as Communication Studies. Since graduation, I have also received a certificate from General Assembly for Data Analytics.
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I love politics and follow it closely, but I am not a big financial contributor. I believe I have donated small amounts to Bernie Sanders, but I think that's it. I have a history of donating to the ACLU, Planned Parenthood, and RAICE.
I do not belong to any of these types of organizations.
I do not have direct experience here. However, in my professional career, it is my responsibility to manage cross-departmental communication, training, and budget concerns. I am also proficient in managing multiple stakeholder needs and prioritizing the order of operations accordingly.
I am interested in advocating for our First Amendment right, we the people have the right to free speech. By serving on the commission, I can contribute to ensuring each Coloradoan's voice is heard by enabling every citizen's ability to vote for a representative that matches their needs. It is critical to fairly assess Colorado's communities and create districting maps that benefit the voters, and not the politicians.
If we all put Colorado voters first, as individuals with unique needs and stories, then we should be able to have an open and honest discourse about how to best represent Colorado communities. In my professional career, I often work to align different organizations and departments on a set of shared goals. It is critical to understand each organization's or departments' needs, but when problem solving is approached with a shared goal in mind, the outcomes can often benefit everyone involved. I also have a long history of understanding each person or departments mandates, which fosters a respectful environment where people feel heard. Listening and respecting one another is the foundation required in order to promote consensus and understanding. My background in Journalism and my love for ethical leadership have primed me to be an objective and reasonable team player. It starts with listening and working together on identifying the goals, then understanding each person's unique strengths, and delegating the necessary tactics so we complete our goals. This is a commission that should remain fair and objective and I am committed to contributing to these foundational values.
I work in the technology sector and often work with multiple large data sets. I have a proven record of being a strategic partner to my clients and to my employer which involves understanding the many data sets one might have, how to best apply an architecture for them, and the subsequent uses for the data. Problem-solving requires understanding the desired solution, the unique challenges posed, and the tools and resources required to accomplish the solution. I feel confident in my ability to assess all the variables and create a prioritization based on the group's goals and objectives. Creating the foundation and rules for the problem allows me to work with the team utilizing language and timelines we have all agreed upon, so we are focused on the problem rather than the surrounding distractions.
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Hindu pilgrims from India arrive in Pak to attend religious festivities in Sindh
Over 50 Hindu pilgrims, including women, arrived here on Sunday from India to attend the religious festivities in Sindh province of Pakistan.
Over 50 Hindu pilgrims, including women, arrived here on Sunday from India to attend the religious festivities in Sindh province of Pakistan.
"As many as 51 Hindu pilgrims arrived here via Wagah border where the officials of the Evacuee Trust Property Board (ETPB) received them," ETPB spokesperson Amir Hashmi told PTI.
The EPTB is a statutory board that manages religious properties and shrines of Hindus and Sikhs who had migrated to India following the partition in 1947.
Hashmi said the pilgrims also include women and they left for Sindh province on special buses in high security to take part in their religious festivities.
"The pilgrims will visit temples in Mirpur Mathelo, Sukker and Ghotki during their 10 days stay in Pakistan," he said, adding the pilgrims will not be allowed to visit any other places.
Talking to the media at Wagah, the group leader of the visiting Hindus, Yudeshtar Lal, said they have brought a message of peace and love and stressed for enhancing people-to-people contact. He appreciated the Pakistan government's decision to open some of the centuries old temples in the country.
Last month, the Pakistani government handed over centuries-old historical Shawala Teja Singh Temple in eastern city of Sialkot to the Pakistan Hindu Council for worship after the completion of its renovation.
In July, Pakistan opened the temple in Sialkot, some 100-kms from Lahore, for worship for the first time after the partition on the demand of the local Hindu community. The temple, located in city's congested Dhaarowal locality, is more than 1,000 years old, according to the book 'History of Sialkot' by the late Rashid Niaz. Some 2,000 Hindus are residing in this locality.
Hindus form the biggest minority community in Pakistan.
According to official estimates, 75 lakh Hindus live in Pakistan. However, according to the community, over 90 lakh Hindus are living in the country.
Majority of Pakistan's Hindu population is settled in Sindh province where they share culture, traditions and language with their Muslim fellows.


Posted on February 2, 2017
IR Laser Gun Project
One of my favorite games has always been paintball, but I often am unable to play because of the high cost of the game, and because many of my friends are afraid that it might be painful to play. (Which it's not).
To make a game that I can join with all my friends and which I can play whenever. I have been working with an Arduino Uno microcontroller to create an IR laser gun like what is typically found in game rooms.
While it is my hope to use this page to document the build of this project, I am still near the beginning of the project, and for the time being I will present background information and my first steps.
Firstly, what is Infrared light?
Infrared light is the portion of the electromagnetic wave spectrum with a longer wavelength than visible light, but shorter than microwaves. While. For the most part, this band of the electromagnetic spectrum is not visible to the unassisted human eye, it is possible for some people to see those wavelengths up to 1065nm under controlled conditions.
| Wave Class | Frequency | Wavelength |
|---|---|---|
| Near ultraviolet | .8-30 PHz | 300–400nm |
| Near infrared | 214–400 THz | 0.75–1.4 µm |
| Mid infrared | 37–100 THz | 3–8 µm |
| Far infrared | 0.3–20 THz | 15–1000 µm |
| Extremely high frequency Microwave | 30-300 GHz | 1 cm to 1 mm |
For the rest of us, we need some form of aid to see infrared lights, the most well-known is through “night vision” goggles. Since I don’t have any specialized equipment, I used my phone’s camera to view the infrared from my LEDs. With the use of a camera, it is possible for us to see near infrared light, which thankfully, is what most IR communication uses. You can try this by looking through a phone's camera into the transmitter of a remote control as you press a button.
The IR LEDs I will be using have a wavelength of 980nanometers, and would fall into the range of what is called near- infrared since it is closer to the wavelength of red (780nm) than to a microwave (1mm). Note, the boundary between what is near infrared and what is far infrared may vary depending on which field you are in, or who you talk to.
IR is actually a pretty effective way to communicate, it is used in households in the form of small appliances like television remotes, and is even used in optical fiber communication systems.
Typically, IR communication is modulated at a 38kHz signal to be useful for communication. There is actually a lot of ambient infrared in the environment. Anything that produces heat is producing infrared light. The sun, light bulbs, and even your own body heat are sources of infrared light.
With modulation, we distinguish between an actual signal, and the environment. Now we can use a protocol. I use the NEC protocol since it is very well established and used by many companies throughout the world, not just in Japan, where it was created. IR communication is very similar to how computers communicate, everything is a string of 1’s and 0’s.
Logical '0' – a 562.5µs pulse burst followed by a 562.5µs space, with a total transmit time of 1.125ms
Logical '1' – a 562.5µs pulse burst followed by a 1.6875ms space, with a total transmit time of 2.25ms
According to the NEC protocol, a transmission is started with a leader code, which is a burst with a length of 9 ms, followed by a pause of 4.5 ms and then the data word. Within the data word, the address and the data bits are transmitted twice, first as a normal byte and immediately after as an inverted byte.
More information about general IR communication can be found at:
Materials Used
I wanted to add some feed-back, so the user would know when he got hit by another player, and when he fires, so I added a buzzer, a muzzle LED, and ‘hit’ LED. As you can see on the breadboard, the circuits for these are very simple at this point. They are just the output, plus a resistor to control the current that flows through the device.
I used an Arduino Uno, since they are fairly cheap, and I can use just the chip instead of the whole development board.
The most important aspect of this project is the IR emitter, so I want to spend the most amount of time perfecting its circuit and making sure I have the largest possible range with an adequate to satisfactory battery life. Given the following formula:
We see that one possible way to increase the maximum transmission range is to increase the emitter intensity, which we can increase in two different ways. Either we can focus the beam of the IR LED, or we can increase the amount of current, and conversely the amount of power going to the LED.
We can use a double-convex lens to focus the beam of the emitter. Likewise, by the very nature of this project, we will not be using the IR emitter for prolonged periods of time, we could safely increase the current supplied for very short periods of time without causing damage to the LED. We will set up the IR emitter to only transmit once per an arbitrary period of time, say, once per second. Within this period of one second, the beam will only transmit data for a few milliseconds, and that data will be sent in pulses as per the NEC protocol. This allows the LED to use more power without risk of damage.
For the choice of lens, I used several websites and forums to find the best size and shape, at the lowest possible cost, while maintaining good quality and a reasonable size. Below is one that I found particularly useful.
This is an interesting page that describes different types of lens, background information, and focal lengths in the context of IR laser tag guns.
Just as important as the hardware, is the software used. The IR library that come preloaded with the Arduino seem to have some issues with them, so I used the library created by Ken Shirriff. Ken has done some fantastic work, and his library is widely used by other laser gun enthusiasts, and in various IR communication projects.
To be continued as I work on this project.


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SPROUT
SPROUT is a machine learning algorithm that predicts the DNA repair outcome in CRISPR-CAS9 experiments.
Click to access the source code.
Input the 20-nucleotide sgRNA sequence followed by the 3-nucleotide PAM sequence
(e.g., CCACCAAAGTACGATGTGAGAGG)
Input:
Output:


SUBROUTINE DLAQR2( WANTT, WANTZ, N, KTOP, KBOT, NW, H, LDH, ILOZ, $ IHIZ, Z, LDZ, NS, ND, SR, SI, V, LDV, NH, T, $ LDT, NV, WV, LDWV, WORK, LWORK ) * * -- LAPACK auxiliary routine (version 3.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * November 2006 * * .. Scalar Arguments .. INTEGER IHIZ, ILOZ, KBOT, KTOP, LDH, LDT, LDV, LDWV, $ LDZ, LWORK, N, ND, NH, NS, NV, NW LOGICAL WANTT, WANTZ * .. * .. Array Arguments .. DOUBLE PRECISION H( LDH, * ), SI( * ), SR( * ), T( LDT, * ), $ V( LDV, * ), WORK( * ), WV( LDWV, * ), $ Z( LDZ, * ) * .. * * This subroutine is identical to DLAQR3 except that it avoids * recursion by calling DLAHQR instead of DLAQR4. * * * ****************************************************************** * Aggressive early deflation: * * This subroutine accepts as input an upper Hessenberg matrix * H and performs an orthogonal similarity transformation * designed to detect and deflate fully converged eigenvalues from * a trailing principal submatrix. On output H has been over- * written by a new Hessenberg matrix that is a perturbation of * an orthogonal similarity transformation of H. It is to be * hoped that the final version of H has many zero subdiagonal * entries. * * ****************************************************************** * WANTT (input) LOGICAL * If .TRUE., then the Hessenberg matrix H is fully updated * so that the quasi-triangular Schur factor may be * computed (in cooperation with the calling subroutine). * If .FALSE., then only enough of H is updated to preserve * the eigenvalues. * * WANTZ (input) LOGICAL * If .TRUE., then the orthogonal matrix Z is updated so * so that the orthogonal Schur factor may be computed * (in cooperation with the calling subroutine). * If .FALSE., then Z is not referenced. * * N (input) INTEGER * The order of the matrix H and (if WANTZ is .TRUE.) the * order of the orthogonal matrix Z. * * KTOP (input) INTEGER * It is assumed that either KTOP = 1 or H(KTOP,KTOP-1)=0. * KBOT and KTOP together determine an isolated block * along the diagonal of the Hessenberg matrix. * * KBOT (input) INTEGER * It is assumed without a check that either * KBOT = N or H(KBOT+1,KBOT)=0. KBOT and KTOP together * determine an isolated block along the diagonal of the * Hessenberg matrix. * * NW (input) INTEGER * Deflation window size. 1 .LE. NW .LE. (KBOT-KTOP+1). * * H (input/output) DOUBLE PRECISION array, dimension (LDH,N) * On input the initial N-by-N section of H stores the * Hessenberg matrix undergoing aggressive early deflation. * On output H has been transformed by an orthogonal * similarity transformation, perturbed, and the returned * to Hessenberg form that (it is to be hoped) has some * zero subdiagonal entries. * * LDH (input) integer * Leading dimension of H just as declared in the calling * subroutine. N .LE. LDH * * ILOZ (input) INTEGER * IHIZ (input) INTEGER * Specify the rows of Z to which transformations must be * applied if WANTZ is .TRUE.. 1 .LE. ILOZ .LE. IHIZ .LE. N. * * Z (input/output) DOUBLE PRECISION array, dimension (LDZ,IHI) * IF WANTZ is .TRUE., then on output, the orthogonal * similarity transformation mentioned above has been * accumulated into Z(ILOZ:IHIZ,ILO:IHI) from the right. * If WANTZ is .FALSE., then Z is unreferenced. * * LDZ (input) integer * The leading dimension of Z just as declared in the * calling subroutine. 1 .LE. LDZ. * * NS (output) integer * The number of unconverged (ie approximate) eigenvalues * returned in SR and SI that may be used as shifts by the * calling subroutine. * * ND (output) integer * The number of converged eigenvalues uncovered by this * subroutine. * * SR (output) DOUBLE PRECISION array, dimension KBOT * SI (output) DOUBLE PRECISION array, dimension KBOT * On output, the real and imaginary parts of approximate * eigenvalues that may be used for shifts are stored in * SR(KBOT-ND-NS+1) through SR(KBOT-ND) and * SI(KBOT-ND-NS+1) through SI(KBOT-ND), respectively. * The real and imaginary parts of converged eigenvalues * are stored in SR(KBOT-ND+1) through SR(KBOT) and * SI(KBOT-ND+1) through SI(KBOT), respectively. * * V (workspace) DOUBLE PRECISION array, dimension (LDV,NW) * An NW-by-NW work array. * * LDV (input) integer scalar * The leading dimension of V just as declared in the * calling subroutine. NW .LE. LDV * * NH (input) integer scalar * The number of columns of T. NH.GE.NW. * * T (workspace) DOUBLE PRECISION array, dimension (LDT,NW) * * LDT (input) integer * The leading dimension of T just as declared in the * calling subroutine. NW .LE. LDT * * NV (input) integer * The number of rows of work array WV available for * workspace. NV.GE.NW. * * WV (workspace) DOUBLE PRECISION array, dimension (LDWV,NW) * * LDWV (input) integer * The leading dimension of W just as declared in the * calling subroutine. NW .LE. LDV * * WORK (workspace) DOUBLE PRECISION array, dimension LWORK. * On exit, WORK(1) is set to an estimate of the optimal value * of LWORK for the given values of N, NW, KTOP and KBOT. * * LWORK (input) integer * The dimension of the work array WORK. LWORK = 2*NW * suffices, but greater efficiency may result from larger * values of LWORK. * * If LWORK = -1, then a workspace query is assumed; DLAQR2 * only estimates the optimal workspace size for the given * values of N, NW, KTOP and KBOT. The estimate is returned * in WORK(1). No error message related to LWORK is issued * by XERBLA. Neither H nor Z are accessed. * * ================================================================ * Based on contributions by * Karen Braman and Ralph Byers, Department of Mathematics, * University of Kansas, USA * * ================================================================ * .. Parameters .. DOUBLE PRECISION ZERO, ONE PARAMETER ( ZERO = 0.0d0, ONE = 1.0d0 ) * .. * .. Local Scalars .. DOUBLE PRECISION AA, BB, BETA, CC, CS, DD, EVI, EVK, FOO, S, $ SAFMAX, SAFMIN, SMLNUM, SN, TAU, ULP INTEGER I, IFST, ILST, INFO, INFQR, J, JW, K, KCOL, $ KEND, KLN, KROW, KWTOP, LTOP, LWK1, LWK2, $ LWKOPT LOGICAL BULGE, SORTED * .. * .. External Functions .. DOUBLE PRECISION DLAMCH EXTERNAL DLAMCH * .. * .. External Subroutines .. EXTERNAL DCOPY, DGEHRD, DGEMM, DLABAD, DLACPY, DLAHQR, $ DLANV2, DLARF, DLARFG, DLASET, DORGHR, DTREXC * .. * .. Intrinsic Functions .. INTRINSIC ABS, DBLE, INT, MAX, MIN, SQRT * .. * .. Executable Statements .. * * ==== Estimate optimal workspace. ==== * JW = MIN( NW, KBOT-KTOP+1 ) IF( JW.LE.2 ) THEN LWKOPT = 1 ELSE * * ==== Workspace query call to DGEHRD ==== * CALL DGEHRD( JW, 1, JW-1, T, LDT, WORK, WORK, -1, INFO ) LWK1 = INT( WORK( 1 ) ) * * ==== Workspace query call to DORGHR ==== * CALL DORGHR( JW, 1, JW-1, T, LDT, WORK, WORK, -1, INFO ) LWK2 = INT( WORK( 1 ) ) * * ==== Optimal workspace ==== * LWKOPT = JW + MAX( LWK1, LWK2 ) END IF * * ==== Quick return in case of workspace query. ==== * IF( LWORK.EQ.-1 ) THEN WORK( 1 ) = DBLE( LWKOPT ) RETURN END IF * * ==== Nothing to do ... * ... for an empty active block ... ==== NS = 0 ND = 0 IF( KTOP.GT.KBOT ) $ RETURN * ... nor for an empty deflation window. ==== IF( NW.LT.1 ) $ RETURN * * ==== Machine constants ==== * SAFMIN = DLAMCH( 'SAFE MINIMUM' ) SAFMAX = ONE / SAFMIN CALL DLABAD( SAFMIN, SAFMAX ) ULP = DLAMCH( 'PRECISION' ) SMLNUM = SAFMIN*( DBLE( N ) / ULP ) * * ==== Setup deflation window ==== * JW = MIN( NW, KBOT-KTOP+1 ) KWTOP = KBOT - JW + 1 IF( KWTOP.EQ.KTOP ) THEN S = ZERO ELSE S = H( KWTOP, KWTOP-1 ) END IF * IF( KBOT.EQ.KWTOP ) THEN * * ==== 1-by-1 deflation window: not much to do ==== * SR( KWTOP ) = H( KWTOP, KWTOP ) SI( KWTOP ) = ZERO NS = 1 ND = 0 IF( ABS( S ).LE.MAX( SMLNUM, ULP*ABS( H( KWTOP, KWTOP ) ) ) ) $ THEN NS = 0 ND = 1 IF( KWTOP.GT.KTOP ) $ H( KWTOP, KWTOP-1 ) = ZERO END IF RETURN END IF * * ==== Convert to spike-triangular form. (In case of a * . rare QR failure, this routine continues to do * . aggressive early deflation using that part of * . the deflation window that converged using INFQR * . here and there to keep track.) ==== * CALL DLACPY( 'U', JW, JW, H( KWTOP, KWTOP ), LDH, T, LDT ) CALL DCOPY( JW-1, H( KWTOP+1, KWTOP ), LDH+1, T( 2, 1 ), LDT+1 ) * CALL DLASET( 'A', JW, JW, ZERO, ONE, V, LDV ) CALL DLAHQR( .true., .true., JW, 1, JW, T, LDT, SR( KWTOP ), $ SI( KWTOP ), 1, JW, V, LDV, INFQR ) * * ==== DTREXC needs a clean margin near the diagonal ==== * DO 10 J = 1, JW - 3 T( J+2, J ) = ZERO T( J+3, J ) = ZERO 10 CONTINUE IF( JW.GT.2 ) $ T( JW, JW-2 ) = ZERO * * ==== Deflation detection loop ==== * NS = JW ILST = INFQR + 1 20 CONTINUE IF( ILST.LE.NS ) THEN IF( NS.EQ.1 ) THEN BULGE = .FALSE. ELSE BULGE = T( NS, NS-1 ).NE.ZERO END IF * * ==== Small spike tip test for deflation ==== * IF( .NOT.BULGE ) THEN * * ==== Real eigenvalue ==== * FOO = ABS( T( NS, NS ) ) IF( FOO.EQ.ZERO ) $ FOO = ABS( S ) IF( ABS( S*V( 1, NS ) ).LE.MAX( SMLNUM, ULP*FOO ) ) THEN * * ==== Deflatable ==== * NS = NS - 1 ELSE * * ==== Undeflatable. Move it up out of the way. * . (DTREXC can not fail in this case.) ==== * IFST = NS CALL DTREXC( 'V', JW, T, LDT, V, LDV, IFST, ILST, WORK, $ INFO ) ILST = ILST + 1 END IF ELSE * * ==== Complex conjugate pair ==== * FOO = ABS( T( NS, NS ) ) + SQRT( ABS( T( NS, NS-1 ) ) )* $ SQRT( ABS( T( NS-1, NS ) ) ) IF( FOO.EQ.ZERO ) $ FOO = ABS( S ) IF( MAX( ABS( S*V( 1, NS ) ), ABS( S*V( 1, NS-1 ) ) ).LE. $ MAX( SMLNUM, ULP*FOO ) ) THEN * * ==== Deflatable ==== * NS = NS - 2 ELSE * * ==== Undflatable. Move them up out of the way. * . Fortunately, DTREXC does the right thing with * . ILST in case of a rare exchange failure. ==== * IFST = NS CALL DTREXC( 'V', JW, T, LDT, V, LDV, IFST, ILST, WORK, $ INFO ) ILST = ILST + 2 END IF END IF * * ==== End deflation detection loop ==== * GO TO 20 END IF * * ==== Return to Hessenberg form ==== * IF( NS.EQ.0 ) $ S = ZERO * IF( NS.LT.JW ) THEN * * ==== sorting diagonal blocks of T improves accuracy for * . graded matrices. Bubble sort deals well with * . exchange failures. ==== * SORTED = .false. I = NS + 1 30 CONTINUE IF( SORTED ) $ GO TO 50 SORTED = .true. * KEND = I - 1 I = INFQR + 1 IF( I.EQ.NS ) THEN K = I + 1 ELSE IF( T( I+1, I ).EQ.ZERO ) THEN K = I + 1 ELSE K = I + 2 END IF 40 CONTINUE IF( K.LE.KEND ) THEN IF( K.EQ.I+1 ) THEN EVI = ABS( T( I, I ) ) ELSE EVI = ABS( T( I, I ) ) + SQRT( ABS( T( I+1, I ) ) )* $ SQRT( ABS( T( I, I+1 ) ) ) END IF * IF( K.EQ.KEND ) THEN EVK = ABS( T( K, K ) ) ELSE IF( T( K+1, K ).EQ.ZERO ) THEN EVK = ABS( T( K, K ) ) ELSE EVK = ABS( T( K, K ) ) + SQRT( ABS( T( K+1, K ) ) )* $ SQRT( ABS( T( K, K+1 ) ) ) END IF * IF( EVI.GE.EVK ) THEN I = K ELSE SORTED = .false. IFST = I ILST = K CALL DTREXC( 'V', JW, T, LDT, V, LDV, IFST, ILST, WORK, $ INFO ) IF( INFO.EQ.0 ) THEN I = ILST ELSE I = K END IF END IF IF( I.EQ.KEND ) THEN K = I + 1 ELSE IF( T( I+1, I ).EQ.ZERO ) THEN K = I + 1 ELSE K = I + 2 END IF GO TO 40 END IF GO TO 30 50 CONTINUE END IF * * ==== Restore shift/eigenvalue array from T ==== * I = JW 60 CONTINUE IF( I.GE.INFQR+1 ) THEN IF( I.EQ.INFQR+1 ) THEN SR( KWTOP+I-1 ) = T( I, I ) SI( KWTOP+I-1 ) = ZERO I = I - 1 ELSE IF( T( I, I-1 ).EQ.ZERO ) THEN SR( KWTOP+I-1 ) = T( I, I ) SI( KWTOP+I-1 ) = ZERO I = I - 1 ELSE AA = T( I-1, I-1 ) CC = T( I, I-1 ) BB = T( I-1, I ) DD = T( I, I ) CALL DLANV2( AA, BB, CC, DD, SR( KWTOP+I-2 ), $ SI( KWTOP+I-2 ), SR( KWTOP+I-1 ), $ SI( KWTOP+I-1 ), CS, SN ) I = I - 2 END IF GO TO 60 END IF * IF( NS.LT.JW .OR. S.EQ.ZERO ) THEN IF( NS.GT.1 .AND. S.NE.ZERO ) THEN * * ==== Reflect spike back into lower triangle ==== * CALL DCOPY( NS, V, LDV, WORK, 1 ) BETA = WORK( 1 ) CALL DLARFG( NS, BETA, WORK( 2 ), 1, TAU ) WORK( 1 ) = ONE * CALL DLASET( 'L', JW-2, JW-2, ZERO, ZERO, T( 3, 1 ), LDT ) * CALL DLARF( 'L', NS, JW, WORK, 1, TAU, T, LDT, $ WORK( JW+1 ) ) CALL DLARF( 'R', NS, NS, WORK, 1, TAU, T, LDT, $ WORK( JW+1 ) ) CALL DLARF( 'R', JW, NS, WORK, 1, TAU, V, LDV, $ WORK( JW+1 ) ) * CALL DGEHRD( JW, 1, NS, T, LDT, WORK, WORK( JW+1 ), $ LWORK-JW, INFO ) END IF * * ==== Copy updated reduced window into place ==== * IF( KWTOP.GT.1 ) $ H( KWTOP, KWTOP-1 ) = S*V( 1, 1 ) CALL DLACPY( 'U', JW, JW, T, LDT, H( KWTOP, KWTOP ), LDH ) CALL DCOPY( JW-1, T( 2, 1 ), LDT+1, H( KWTOP+1, KWTOP ), $ LDH+1 ) * * ==== Accumulate orthogonal matrix in order update * . H and Z, if requested. (A modified version * . of DORGHR that accumulates block Householder * . transformations into V directly might be * . marginally more efficient than the following.) ==== * IF( NS.GT.1 .AND. S.NE.ZERO ) THEN CALL DORGHR( JW, 1, NS, T, LDT, WORK, WORK( JW+1 ), $ LWORK-JW, INFO ) CALL DGEMM( 'N', 'N', JW, NS, NS, ONE, V, LDV, T, LDT, ZERO, $ WV, LDWV ) CALL DLACPY( 'A', JW, NS, WV, LDWV, V, LDV ) END IF * * ==== Update vertical slab in H ==== * IF( WANTT ) THEN LTOP = 1 ELSE LTOP = KTOP END IF DO 70 KROW = LTOP, KWTOP - 1, NV KLN = MIN( NV, KWTOP-KROW ) CALL DGEMM( 'N', 'N', KLN, JW, JW, ONE, H( KROW, KWTOP ), $ LDH, V, LDV, ZERO, WV, LDWV ) CALL DLACPY( 'A', KLN, JW, WV, LDWV, H( KROW, KWTOP ), LDH ) 70 CONTINUE * * ==== Update horizontal slab in H ==== * IF( WANTT ) THEN DO 80 KCOL = KBOT + 1, N, NH KLN = MIN( NH, N-KCOL+1 ) CALL DGEMM( 'C', 'N', JW, KLN, JW, ONE, V, LDV, $ H( KWTOP, KCOL ), LDH, ZERO, T, LDT ) CALL DLACPY( 'A', JW, KLN, T, LDT, H( KWTOP, KCOL ), $ LDH ) 80 CONTINUE END IF * * ==== Update vertical slab in Z ==== * IF( WANTZ ) THEN DO 90 KROW = ILOZ, IHIZ, NV KLN = MIN( NV, IHIZ-KROW+1 ) CALL DGEMM( 'N', 'N', KLN, JW, JW, ONE, Z( KROW, KWTOP ), $ LDZ, V, LDV, ZERO, WV, LDWV ) CALL DLACPY( 'A', KLN, JW, WV, LDWV, Z( KROW, KWTOP ), $ LDZ ) 90 CONTINUE END IF END IF * * ==== Return the number of deflations ... ==== * ND = JW - NS * * ==== ... and the number of shifts. (Subtracting * . INFQR from the spike length takes care * . of the case of a rare QR failure while * . calculating eigenvalues of the deflation * . window.) ==== * NS = NS - INFQR * * ==== Return optimal workspace. ==== * WORK( 1 ) = DBLE( LWKOPT ) * * ==== End of DLAQR2 ==== * END


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{% extends 'base.html' %} {% block banner %}
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|LF_STANDARD| |?TREE=» `LANG_ADMIN_SETTINGS`| |?HELP_SECTION=`ADMIN_HELPER`/settings.html| |HTM_ADMIN_TOP|


Bronze --
Memory Alloted: {{billingPlans.Bronze.memoryAlloted /<PHONE_NUMBER>}} GB
Get Monthly Rate: ${{billingPlans.Bronze.getRateMonthly * 1000}} / 10,000 Requests
Put Monthly Rate: ${{billingPlans.Bronze.putRateMonthly * 1000}} / 1000 Requests
Monthly Bandwidth Rate: ${{billingPlans.Bronze.bandwidthRateMonthly}} / GB
|
Base Charge Per Month: ${{billingPlans.Bronze.baseChargeMonthly}}
|
Base Charge Per Month: ${{billingPlans.Bronze.baseChargeYearly}}
|
Base Charge Per Month: ${{billingPlans.Bronze.baseChargeThreeYear}}
|
Silver --
Memory Alloted: {{billingPlans.Silver.memoryAlloted /<PHONE_NUMBER>}} GB
Get Monthly Rate: ${{billingPlans.Silver.getRateMonthly * 1000}} / 10,000 Requests
Put Monthly Rate: ${{billingPlans.Silver.putRateMonthly * 1000}} / 1000 Requests
Monthly Bandwidth Rate: ${{billingPlans.Silver.bandwidthRateMonthly}} / GB
|
Base Charge Per Month: ${{billingPlans.Silver.baseChargeMonthly}}
|
Base Charge Per Month: ${{billingPlans.Silver.baseChargeYearly}}
|
Base Charge Per Month: ${{billingPlans.Silver.baseChargeThreeYear}}
|
Gold --
Memory Alloted: {{billingPlans.Gold.memoryAlloted /<PHONE_NUMBER>}} GB
Get Monthly Rate: ${{billingPlans.Gold.getRateMonthly * 1000}} / 10,000 Requests
Put Monthly Rate: ${{billingPlans.Gold.putRateMonthly * 1000}} / 1000 Requests
Monthly Bandwidth Rate: ${{billingPlans.Gold.bandwidthRateMonthly}} / GB
|
Base Charge Per Month: ${{billingPlans.Gold.baseChargeMonthly}}
|
Base Charge Per Month: ${{billingPlans.Gold.baseChargeYearly}}
|
Base Charge Per Month: ${{billingPlans.Gold.baseChargeThreeYear}}
|
Platinum --
Memory Alloted: {{billingPlans.Platinum.memoryAlloted /<PHONE_NUMBER>}} GB
Get Monthly Rate: ${{billingPlans.Platinum.getRateMonthly * 1000}} / 10,000 Requests
Put Monthly Rate: ${{billingPlans.Platinum.putRateMonthly * 1000}} / 1000 Requests
Monthly Bandwidth Rate: ${{billingPlans.Platinum.bandwidthRateMonthly}} / GB
|
Base Charge Per Month: ${{billingPlans.Platinum.baseChargeMonthly}}
|
Base Charge Per Month: ${{billingPlans.Platinum.baseChargeYearly}}
|
Base Charge Per Month: ${{billingPlans.Platinum.baseChargeThreeYear}}
|
Unlimited --
Memory Alloted: {{billingPlans.Unlimited.memoryAlloted /<PHONE_NUMBER>}} GB
Get Monthly Rate: ${{billingPlans.Unlimited.getRateMonthly * 1000}} / 10,000 Requests
Put Monthly Rate: ${{billingPlans.Unlimited.putRateMonthly * 1000}} / 1000 Requests
Monthly Bandwidth Rate: ${{billingPlans.Unlimited.bandwidthRateMonthly}} / GB
|
Base Charge Per Month: ${{billingPlans.Unlimited.baseChargeMonthly}}
|
Base Charge Per Month: ${{billingPlans.Unlimited.baseChargeYearly}}
|
Base Charge Per Month: ${{billingPlans.Unlimited.baseChargeThreeYear}}
|


Issues / Questions
Allowed Controls
- why cant utility nav be available in row/row advanced
- why cant search box go in container
Footer Navigation
Allowed Controls - Column
- available in column but does not work
Modal Window
Linking to a Modal Window
The below issues result in linking to modal windows not being available in the below listed navigation components and the user then having to use
an RTE or HTML component wherever linking to a modal is required.
Navigation Components
- Navbar Utility Nav
- Navbar Primary Nav
- When selecting a modal window target via the link label options,
href
, data-toggle
and data-target
are not set
- Options for linking are to a specific page not a modal so this should not even be an option


{% extends "app/layout.html" %} {% load crispy_forms_tags %} {% block content %}
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Artists Channels Songs Artists 憂鬱 A.L.I.S.O.N Ark Patrol Beats for Nujabes Blazo Bonobo Com Truise Electronic Gems Emil Rottmayer Descend Flamingosis Fluence FM-84 Gold Panda Hello Meteor Handbooks HOME 1 Before The Night Falling Into Place Odissey Idealism IHF In Love With A Ghost Jon Hopkins JPJ Kodomo Maximum Love Mura Masa Someday Somewhere Soundtrack To A Death Nujabes ODESZA Rosentwig Slow Magic Tycho Vanilla Wafia WMD Channels Songs
Inline math To inline use $...$ or \(...\).
This formula $f(x) = x^2$ is an example. This formula \(\frac{x^{2} + 1}{5} = 4 \) is another example. This formula $f(x) = x^2$ is an example.
This formula (\frac{x^{2} + 1}{5} = 4 ) is another example.
Display math To render math in display mode, use $$...$$ or \[...\].
$$\frac{x^{2} + 1}{5} = 1$$
Basic Markdown Headings # Heading level 1 ## Heading level 2 ### Heading level 3 #### Heading level 4 ##### Heading level 5 ###### Heading level 6 Result:
Heading level 1 Heading level 2 Heading level 3 Heading level 4 Heading level 5 Heading level 6 Paragraphs The Cosmos is all that is or ever was or ever will be. Our feeblest contemplations of the Cosmos stir us — there is a tingling in the spine, a catch in the voice, a faint sensation as if a distant memory, of falling from a height.
Hugo is a static site engine written in Go.
It makes use of a variety of open source projects including:
Cobra Viper J Walter Weatherman Cast Learn more and contribute on GitHub.
Setup Some fun facts about Hugo:
Built in Go Loosely inspired by Jekyll Primarily developed by spf13 on the train while commuting to and from Manhattan. Coded in Vim using spf13-vim Have questions or suggestions?
Introduction This tutorial will show you how to create a simple theme in Hugo. I assume that you are familiar with HTML, the bash command line, and that you are comfortable using Markdown to format content. I’ll explain how Hugo uses templates and how you can organize your templates to create a theme. I won’t cover using CSS to style your theme.
We’ll start with creating a new site with a very basic template.


| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
ACTION |
5 |
public static final int |
ACTION__ASSIGNMENT |
11 |
public static final int |
ACTION__CONDITION |
7 |
public static final int |
ACTION__FROM |
9 |
public static final int |
ACTION__MOVE_TO |
6 |
public static final int |
ACTION__NAME |
0 |
public static final int |
ACTION__NESTED_ACTION |
12 |
public static final int |
ACTION__NUMBER_OF_DICE |
8 |
public static final int |
ACTION__SELECTED |
5 |
public static final int |
ACTION__SPAWN_TO |
3 |
public static final int |
ACTION__TO |
10 |
public static final int |
ACTION__TO_VAR |
2 |
public static final int |
ACTION__TOKEN |
1 |
public static final int |
ACTION__TYPE |
4 |
public static final int |
ACTION_FEATURE_COUNT |
13 |
public static final int |
AND_EXP |
10 |
public static final int |
AND_EXP__EXPRESSIONS |
0 |
public static final int |
AND_EXP__OPERATORS |
1 |
public static final int |
AND_EXP_FEATURE_COUNT |
2 |
public static final int |
ARITHMETIC_EXP |
14 |
public static final int |
ARITHMETIC_EXP__EXPRESSIONS |
0 |
public static final int |
ARITHMETIC_EXP__OPERATORS |
1 |
public static final int |
ARITHMETIC_EXP_FEATURE_COUNT |
2 |
public static final int |
ATTRIBUTE_NAME |
12 |
public static final int |
ATTRIBUTE_NAME__CHILD |
1 |
public static final int |
ATTRIBUTE_NAME__NAME |
0 |
public static final int |
ATTRIBUTE_NAME_FEATURE_COUNT |
2 |
public static final int |
ATTRIBUTE_OR_INT |
13 |
public static final int |
ATTRIBUTE_OR_INT__ATTRIBUTE |
0 |
public static final int |
ATTRIBUTE_OR_INT__VALUE |
1 |
public static final int |
ATTRIBUTE_OR_INT_FEATURE_COUNT |
2 |
public static final int |
BOOLEAN_EXP |
11 |
public static final int |
BOOLEAN_EXP__LEFT |
1 |
public static final int |
BOOLEAN_EXP__NAME |
2 |
public static final int |
BOOLEAN_EXP__NESTED_EXP |
4 |
public static final int |
BOOLEAN_EXP__NOT |
0 |
public static final int |
BOOLEAN_EXP__RIGHT |
3 |
public static final int |
BOOLEAN_EXP_FEATURE_COUNT |
5 |
public static final int |
CARD |
7 |
public static final int |
CARD__ACTION |
2 |
public static final int |
CARD__CONDITION |
3 |
public static final int |
CARD__NAME |
0 |
public static final int |
CARD__VARIABLES |
1 |
public static final int |
CARD_FEATURE_COUNT |
4 |
public static final int |
DECK |
8 |
public static final int |
DECK__CARDS |
2 |
public static final int |
DECK__NAME |
1 |
public static final int |
DECK__VISIBILITY |
0 |
public static final int |
DECK_FEATURE_COUNT |
3 |
public static final String |
eNAME |
"bgl" |
public static final String |
eNS_PREFIX |
"bgl" |
public static final String |
eNS_URI |
"http://www.github.com/gergelyszaz/board-game-language" |
public static final int |
EXPRESSION |
15 |
public static final int |
EXPRESSION__ARITHMETIC_EXP |
0 |
public static final int |
EXPRESSION__ATTRIBUTE_OR_INT |
1 |
public static final int |
EXPRESSION_FEATURE_COUNT |
2 |
public static final int |
FIELD |
4 |
public static final int |
FIELD__NAME |
0 |
public static final int |
FIELD__NEIGHBOURS |
1 |
public static final int |
FIELD__VARIABLES |
2 |
public static final int |
FIELD_FEATURE_COUNT |
3 |
public static final int |
MODEL |
0 |
public static final int |
MODEL__CARDS |
3 |
public static final int |
MODEL__DECKS |
4 |
public static final int |
MODEL__FIELDS |
5 |
public static final int |
MODEL__NAME |
0 |
public static final int |
MODEL__PLAYER |
1 |
public static final int |
MODEL__RULE |
7 |
public static final int |
MODEL__TOKENS |
6 |
public static final int |
MODEL__VARIABLES |
2 |
public static final int |
MODEL_FEATURE_COUNT |
8 |
public static final int |
NESTED_ACTION |
6 |
public static final int |
NESTED_ACTION__ACTIONS |
1 |
public static final int |
NESTED_ACTION__NAME |
0 |
public static final int |
NESTED_ACTION_FEATURE_COUNT |
2 |
public static final int |
OR_EXP |
9 |
public static final int |
OR_EXP__EXPRESSIONS |
0 |
public static final int |
OR_EXP__OPERATORS |
1 |
public static final int |
OR_EXP_FEATURE_COUNT |
2 |
public static final int |
PLAYER |
1 |
public static final int |
PLAYER__DECKS |
3 |
public static final int |
PLAYER__NAME |
0 |
public static final int |
PLAYER__PLAYER_SETUPS |
4 |
public static final int |
PLAYER__PLAYERCOUNT |
1 |
public static final int |
PLAYER__VARIABLES |
2 |
public static final int |
PLAYER_FEATURE_COUNT |
5 |
public static final int |
PLAYER_SETUP |
2 |
public static final int |
PLAYER_SETUP__ID |
1 |
public static final int |
PLAYER_SETUP__NAME |
0 |
public static final int |
PLAYER_SETUP__SETUP_RULE |
2 |
public static final int |
PLAYER_SETUP_FEATURE_COUNT |
3 |
public static final int |
SIMPLE_ASSIGNMENT |
17 |
public static final int |
SIMPLE_ASSIGNMENT__ATTRIBUTE |
1 |
public static final int |
SIMPLE_ASSIGNMENT__NAME |
0 |
public static final int |
SIMPLE_ASSIGNMENT_FEATURE_COUNT |
2 |
public static final int |
TOKEN |
3 |
public static final int |
TOKEN__NAME |
0 |
public static final int |
TOKEN__VARIABLES |
1 |
public static final int |
TOKEN_FEATURE_COUNT |
2 |
public static final int |
VALUE_ASSIGNMENT |
16 |
public static final int |
VALUE_ASSIGNMENT__EXPRESSION |
1 |
public static final int |
VALUE_ASSIGNMENT__NAME |
0 |
public static final int |
VALUE_ASSIGNMENT_FEATURE_COUNT |
2 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
protected static final int |
FROM_EDEFAULT |
0 |
protected static final int |
NUMBER_OF_DICE_EDEFAULT |
0 |
protected static final int |
TO_EDEFAULT |
0 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
protected static final int |
VALUE_EDEFAULT |
0 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
protected static final int |
PLAYERCOUNT_EDEFAULT |
0 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
protected static final int |
ID_EDEFAULT |
0 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
EOF |
-1 |
public static final int |
RULE_ANY_OTHER |
10 |
public static final int |
RULE_ID |
4 |
public static final int |
RULE_INT |
5 |
public static final int |
RULE_ML_COMMENT |
7 |
public static final int |
RULE_SL_COMMENT |
8 |
public static final int |
RULE_STRING |
6 |
public static final int |
RULE_WS |
9 |
public static final int |
T__11 |
11 |
public static final int |
T__12 |
12 |
public static final int |
T__13 |
13 |
public static final int |
T__14 |
14 |
public static final int |
T__15 |
15 |
public static final int |
T__16 |
16 |
public static final int |
T__17 |
17 |
public static final int |
T__18 |
18 |
public static final int |
T__19 |
19 |
public static final int |
T__20 |
20 |
public static final int |
T__21 |
21 |
public static final int |
T__22 |
22 |
public static final int |
T__23 |
23 |
public static final int |
T__24 |
24 |
public static final int |
T__25 |
25 |
public static final int |
T__26 |
26 |
public static final int |
T__27 |
27 |
public static final int |
T__28 |
28 |
public static final int |
T__29 |
29 |
public static final int |
T__30 |
30 |
public static final int |
T__31 |
31 |
public static final int |
T__32 |
32 |
public static final int |
T__33 |
33 |
public static final int |
T__34 |
34 |
public static final int |
T__35 |
35 |
public static final int |
T__36 |
36 |
public static final int |
T__37 |
37 |
public static final int |
T__38 |
38 |
public static final int |
T__39 |
39 |
public static final int |
T__40 |
40 |
public static final int |
T__41 |
41 |
public static final int |
T__42 |
42 |
public static final int |
T__43 |
43 |
public static final int |
T__44 |
44 |
public static final int |
T__45 |
45 |
public static final int |
T__46 |
46 |
public static final int |
T__47 |
47 |
public static final int |
T__48 |
48 |
public static final int |
T__49 |
49 |
public static final int |
T__50 |
50 |
public static final int |
T__51 |
51 |
public static final int |
T__52 |
52 |
public static final int |
T__53 |
53 |
public static final int |
T__54 |
54 |
public static final int |
T__55 |
55 |
public static final int |
T__56 |
56 |
public static final int |
T__57 |
57 |
public static final int |
T__58 |
58 |
public static final int |
T__59 |
59 |
public static final int |
T__60 |
60 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
EOF |
-1 |
public static final int |
RULE_ANY_OTHER |
10 |
public static final int |
RULE_ID |
4 |
public static final int |
RULE_INT |
5 |
public static final int |
RULE_ML_COMMENT |
7 |
public static final int |
RULE_SL_COMMENT |
8 |
public static final int |
RULE_STRING |
6 |
public static final int |
RULE_WS |
9 |
public static final int |
T__11 |
11 |
public static final int |
T__12 |
12 |
public static final int |
T__13 |
13 |
public static final int |
T__14 |
14 |
public static final int |
T__15 |
15 |
public static final int |
T__16 |
16 |
public static final int |
T__17 |
17 |
public static final int |
T__18 |
18 |
public static final int |
T__19 |
19 |
public static final int |
T__20 |
20 |
public static final int |
T__21 |
21 |
public static final int |
T__22 |
22 |
public static final int |
T__23 |
23 |
public static final int |
T__24 |
24 |
public static final int |
T__25 |
25 |
public static final int |
T__26 |
26 |
public static final int |
T__27 |
27 |
public static final int |
T__28 |
28 |
public static final int |
T__29 |
29 |
public static final int |
T__30 |
30 |
public static final int |
T__31 |
31 |
public static final int |
T__32 |
32 |
public static final int |
T__33 |
33 |
public static final int |
T__34 |
34 |
public static final int |
T__35 |
35 |
public static final int |
T__36 |
36 |
public static final int |
T__37 |
37 |
public static final int |
T__38 |
38 |
public static final int |
T__39 |
39 |
public static final int |
T__40 |
40 |
public static final int |
T__41 |
41 |
public static final int |
T__42 |
42 |
public static final int |
T__43 |
43 |
public static final int |
T__44 |
44 |
public static final int |
T__45 |
45 |
public static final int |
T__46 |
46 |
public static final int |
T__47 |
47 |
public static final int |
T__48 |
48 |
public static final int |
T__49 |
49 |
public static final int |
T__50 |
50 |
public static final int |
T__51 |
51 |
public static final int |
T__52 |
52 |
public static final int |
T__53 |
53 |
public static final int |
T__54 |
54 |
public static final int |
T__55 |
55 |
public static final int |
T__56 |
56 |
public static final int |
T__57 |
57 |
public static final int |
T__58 |
58 |
public static final int |
T__59 |
59 |
public static final int |
T__60 |
60 |
Copyright © 2019. All rights reserved.


AllMake is a framework that leverages TypeScript as a languague for Internet of Things. AllMake focuses on device connectivity - currently we support AllJoyn and Azure IoT Hub.
Our online tools allow you to bootstrap one of selected boards, so they can be controller over the air, create and control your devices. You can also find loads of online device samples and demos.


How to play?
Hello mortal!
You and the computer take turns and in each turn, you choose one row and remove one or more sticks present in that row. You must remove at least one and may also choose to remove all the sticks from that row! But you must remove sticks only from one chosen row in a turn. Whoever removes the last stick loses the game! So your objective must be to make the computer remove the last stick.  You clearly have the upper hand, or do you?
Good Luck!


--- layout: newsstory title: ANOTHER BORE DRAW match: Yeltz 0 Weymouth 0 ---
Can you believe this? Another 0-0 draw and the excitement level at The Grove is at an all time low .
We've only scored in one game out of five now against bottom-placed and pointless Grantham. Computer predictions now say if it goes on like this by the end of the season we'll have scored 17 goals, have 42 points and be getting crowds of about 200 .
We now travel to Rothwell on Monday evening, followed by a match against Cambridge at The Grove on Saturday.
BTW if you haven't already seen, we're away to either Willenhall or Oadby in the FA Cup 2nd Qualifying Round on Sept. 18.