We are is a community of Javascript programmers interested in
weekly Google Hangouts on Air dedicated to learning Angular-2.
Nowadays, we all have access to great presentations in various conferences and meetups, but very few of them give us the opportunity to interact with the speakers when we need to. Our goal is to change that tradition for the meetup attendees; novice and expert alike.

If you are an Angular-2 expert, we expect you to augment the speakers' explanations
with yours in order to deepen everyone's understanding of the uncharted
waters of Angular-2.
The idea is to learn Angular-2 from each other in small informal gatherings in a systematic manner.
A week before each meeting, a subject would be announced along with top-notch public learning resources for the subject. Then at the meetup we can compare notes and help each other to gain deep understanding of that subject, before proceeding to the next subject.
If you would like to lead a session, please propose the topic you'd like to discuss and some details about it here.
You are welcome to join our Slack Team to converse with other members of the community. https://angular2hub.slack.com/


Ocean Poachin' (blackmarket aquatic sales)
Photo
Name
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Action
Cuttly
Cuttlefish
Flippy
Flatworm
Bob
Blobfish
Sell your poach!
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class: center, middle, inverse, title-slide # 09 Paths and rules ### STAT 535A ### Daniel J. McDonald ### Last modified - 2021-02-08 --- ## So far $$ \newcommand{\R}{\mathbb{R}} \newcommand{\argmin}[1]{\underset{#1}{\textrm{argmin}}} \newcommand{\norm}[1]{\left\lVert #1 \right\rVert} \newcommand{\indicator}{1} \renewcommand{\bar}{\overline} \renewcommand{\hat}{\widehat} \newcommand{\tr}[1]{\mbox{tr}(#1)} \newcommand{\Set}[1]{\left\{#1\right\}} \newcommand{\dom}[1]{\textrm{dom}\left(#1\right)} \newcommand{\st}{\;\;\textrm{ s.t. }\;\;} $$ .pull-left[ $$ `\begin{aligned} \min_x &\quad f(x)\\ \textrm{s.t} &\quad Ax-b=0\\ &\quad h_i(x)\leq 0 \end{aligned}` $$ * Think of this as our target. * Can we solve analytically? * 1st-order methods to solve numerically. (GD, tricks, Prox, ADMM, CD) * Properties of the solutions (KKT, Duals) ] -- .pull-right[ Constant companion $$ \min_x \quad f(x) + \lambda \textrm{pen}(x) $$ * Standard type of problem in statistics. * Why? `\(f\)` is likelihood, `\(\textrm{pen}\)` encodes "prior". * In fact, Bayesian methods (on the log-scale) are exactly this * Priors encode structure: sparsity, shrinkage, etc. * Dantzig selector, Lasso, Ridge, Matrix decomposition, Glasso, Sparse PCA/CCA, Convex Clustering, ELnet, Group lasso, etc. ] --- ## Problem $$ \min_x \quad f(x) + \lambda \textrm{pen}(x) $$ * We have applied our techniques to this problem * But always for `\(\lambda=\lambda_0\)` -- **THIS NEVER HAPPENS IN STATISTICS!!** -- We do not know, a priori, what `\(\lambda_0\)` we want (balance bias and variance). We use CV, AIC, BIC, etc to choose `\(\lambda^*\)`, after we solved the problem for all `\(\lambda \in \{\lambda_1,\ldots,\lambda_K\}\)`. **Today:** We solve for a bunch of `\(\lambda\)` at once. --- ## Goals $$ \min_x \quad f(x) + \lambda \textrm{pen}(x) $$ 1. Which `\(\{\lambda_1,\ldots,\lambda_K\}\)` do we use? 2. What `\(x_0\)` do we use? 3. If we have a solution at `\(\lambda_i\)`, can this help at `\(\lambda_j\)`? -- **Methods:** Use the Dual and KKT conditions to get some insights. Insights work for many problems of this form, but we'll do them for Lasso. This address all 3 points. --- ## Lesson 1. $$ \min_\beta \quad \frac{1}{2n}\norm{y-X\beta}_2^2 + \lambda \norm{\beta}_1 $$ * KKT: a solution `\(\hat\beta\)` must satisfy `\(\Rightarrow \frac{1}{n}\left| X^\top_j(y-X\hat{\beta}) \right| \leq \lambda\)` for all `\(j\)`. * Strict inequality means `\(\hat\beta_j = 0\)`. * Suppose `\(\hat\beta = 0\)`, how big must `\(\lambda\)` be? -- * We need `\(\frac{1}{n}\left| X^\top_j y \right| \leq \lambda\)` for all `\(j\)` * So we take `\(\lambda_{\max} = \frac{1}{n}\norm{X^\top y}_\infty\)`. -- Appearance of `\(\norm{\cdot}_\infty\)` is not a coincidence. --- **Lesson 1** actually solved 2 problems It says 1. start at `\(\beta_0 = 0\)` and 2. start at `\(\lambda=\lambda_{\max} = \frac{1}{n}\norm{X^\top y}_\infty\)` What comes next requires some more tricks to get to `glmnet` But LARS algorithm uses this. -- Suppose `\(j\)` gives `\(\lambda_{\max}\)` and all other coefs are zero until `\(\lambda = \lambda_{\max} - \delta\)`. Now, KKT: `\(-\frac{1}{n}X_j^\top(y-X_j\beta_j) = \pm\lambda \Longrightarrow \beta_j = (\frac{1}{n}X_j^\top y \pm \lambda) / \frac{1}{n}X_j^\top X_j\)` This says: "until I get to `\(\lambda_{\max} - \delta\)`, `\(\beta_j\)` is linear in `\(\lambda\)`" -- From here, new variables are added, but similar arguments hold. This is called a **Path algorithm** and it is exact. It solves for a whole range of `\(\lambda\)`, not a set of `\(\lambda\)` values. But it only works in certain cases, and it's not that fast. --- ## Lesson 2. ```r x <- matrix(rnorm(100*200), 100) y <- x %*% c(rep(5,15), rep(0,185)) + rnorm(100) lambda_max <- max(abs(t(y) %*% x)) / 100 df <- tibble(lambda = seq(lambda_max, lambda_max * 1e-4, length.out = 1000)) lasso <- glmnet::glmnet(x, y, lambda = df$lambda) df$one_norm <- apply(lasso$beta, 2, function(x) sum(abs(x))) ``` .pull-left[ <img src="rmd_gfx/09-paths/unnamed-chunk-2-1.svg" style="display: block; margin: auto;" /> ] .pull-right[ * More action happens for small `\(\lambda\)` * Typical to space the values on the **log** scale * `\(\lambda_\max = \frac{1}{n}\norm{X^\top y}_\infty\)` * `\(\lambda_\min = \epsilon\lambda_\max\)` * `\(\epsilon = \begin{cases} 0.01 & n < p\\ 0.0001 & n > p \end{cases}\)` ] --- ## Warm starts 1. So we start with `\(\lambda_1=\lambda_\max\)` and `\(\hat\beta_{\lambda_1} = 0\)`. Suppose desired number of `\(\lambda\)`'s is `\(K\)` 2. Now for each `\(i > 1\)`, set `\(\lambda_{k} = \delta\lambda_{k-1}\)` where `\(\delta = \epsilon^{1 / (K - 1)}\)`. 3. Initialize `\(\hat\beta_{\lambda_k} = \hat\beta_{\lambda_{k-1}}\)` 4. Run ISTA or FISTA or CD until convergence. 5. Go back to step 2 and repeat until we get to `\(\lambda_\min\)`. -- Step 3 is called a "warm start". The differences between solutions at neighboring `\(\lambda\)`'s usually isn't that much, so we should be nearly there. In many situations, `glmnet` can be faster to fit 100 values than to fit 1. --- ## Lesson 3.  The answer is yes. **SAFE rule** ([El Ghaoui 2010](https://www2.eecs.berkeley.edu/Pubs/TechRpts/2010/EECS-2010-126.html)) is a guarantee but a bit challenging to see: `$$|X_i^\top y| < \lambda - \norm{X_i}_2\norm{y}\left(\frac{\lambda_\max - \lambda}{\lambda_\max}\right) \Rightarrow \hat\beta_i = 0$$` --- Intuition: start with the dual, write `\(g(u) = \frac{1}{2n}\norm{y}_2^2 - \frac{1}{2n}\norm{y-u}_2^2\)`. `$$\textrm{Dual}\quad \max_u g(u) \quad\textrm{s.t.}\quad\norm{X^\top u}_\infty \leq \lambda$$` Take `\(u_0 = \frac{\lambda}{\lambda_\max}y\)`. This is dual feasible. Then, `\(\gamma := g(u_0)\)` is a lower bound for the dual optimum. `$$\textrm{Equivalent}\quad \max_u g(u) \quad\textrm{s.t.}\quad\norm{X^\top u}_\infty \leq \lambda,\; g(u) \geq \gamma$$` --- Now consider a related problem. `$$m_i = \max_u |X_i^\top u| \quad \textrm{s.t.} \quad g(u) \geq \gamma$$` Now, if `\(m_i < \lambda\)`, then `\(\norm{X_i^\top u} < \lambda\)` so `\(\hat\beta_i = 0\)`. Solving the above problem gives `$$m_i = \norm{X_i}_2\sqrt{\norm{y}_2^2 - 2\gamma} + |X_i^\top y|.$$` Plugging in `\(\gamma\)` gives the SAFE rule. .center[ ![:scale 50%](gfx/elghaoui.png) ] --- ## Strong rule The SAFE rule is a guarantee, but it often retains a lot of variables (that are actually 0 at the solution) We know that at the solution, `\(\frac{1}{n}|X_j^\top(y-X\hat\beta_\lambda)| < \lambda \Rightarrow \hat\beta_{\lambda j}=0\)` Try something: write `\(c_j(\lambda) := \frac{1}{n}X_j^\top(y-X\hat\beta_\lambda)\)` (see [Tibshirani et al.](https://web.stanford.edu/~hastie/Papers/strong.pdf)). **Assume** `\(c_j(\lambda)\)` is 1-Lipschitz in `\(\lambda\)`: `\(|c_j(\lambda)-c_j(\lambda')| \leq |\lambda-\lambda'|\)`. Now, if `\(|c_j(\lambda_{k-1})|<2\lambda_{k}-\lambda_{k-1}\)`, then $$ `\begin{aligned} |c_j(\lambda_k)| &\leq |c_j(\lambda_k)-c_j(\lambda_{k-1})| + |c_j(\lambda_{k-1})|\\ &\leq (\lambda_{k-1}-\lambda_k) + (2\lambda_{k}-\lambda_{k-1})\\ &= \lambda_k\\ &\Rightarrow \hat\beta_j=0 \end{aligned}` $$ -- * Strong Rule: (1) assume 1-Lipschitz, (2) screen out coordinates with `\(|c_j(\lambda_{k-1})|<2\lambda_{k}-\lambda_{k-1}\)`, (3) do FISTA/CD on those we keep * This was an assumption, so at the end of a loop, we check for violations with `\(\frac{1}{n}|X_j^\top(y-X\hat\beta(\lambda_k))| > \lambda_k\)` --- ## Complete strategy (with CD) 1. Input `\(K\)`. 2. Find `\(\lambda_\max\)`. Set `\(\hat\beta = 0\)`. 3. For `\(k = 2,\ldots, K\)`. - Set `\(\hat\beta_k = \hat\beta_{k-1}\)` - Find the non-zero coordinates using the strong rule (the active set) - Run CD until convergence on only the active set. - Check the KKT condition for all coordinates. If any have `\(\frac{1}{n}|X_j^\top (y- X\hat\beta_k)| > \lambda_k\)`, then add those to the active set and restart CD at the current solution.


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|
Finite Element Course
|
#include <iostream>
#include <math.h>
#include "CompElementTemplate.h"
#include "Shape1d.h"
#include "ShapeQuad.h"
#include "CompMesh.h"
#include "GeoMesh.h"
#include "PostProcessTemplate.h"
Go to the source code of this file.
Functions | |
| void | CreateTestMesh (CompMesh &mesh, int order) |
| void | exact (const VecDouble &point, VecDouble &val, MatrixDouble &deriv) |
| int | main () |
| void CreateTestMesh | ( | CompMesh & | mesh, |
| int | order | ||
| ) |
Definition at line 107 of file TestTwoDProblem.cpp.
| void exact | ( | const VecDouble & | point, |
| VecDouble & | val, | ||
| MatrixDouble & | deriv | ||
| ) |
Definition at line 75 of file TestTwoDProblem.cpp.
| int main | ( | ) |
Definition at line 52 of file TestTwoDProblem.cpp.


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This page is used by the judges to evaluate your team for the medal criterion or award listed below.
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The Best Supporting Entrepreneurship award recognizes exceptional effort to build a business case and commercialize an iGEM project. This award is open to all teams to show that entrepreneurship is something all teams can aspire to do with their project. This award can go to an new project, or to a previous project that a team aimed to commercialize. Have you filed a provisional patent on your project/device/process? Have you raised money to build and ship products? Have you pitched your idea to investors and received money? As always in iGEM, the aim is to impress the judges!
To compete for the Best Supporting Entrepreneurship prize, please describe your work on this page and also fill out the description on the judging form.
You can look at what other teams did to get some inspiration!
Here are a few examples:
If your team is seriously considering commercializing and looking into building a company after the competition, you may want to look at how you are going to protect your work and secure investment. Investors will usually require some form of intellectual protection, so you may want to investigate how to apply for a patent or provisional patent in your country and region before disclosing your project at iGEM. Remember that you can only be evaluated in iGEM based on what you share on your wiki and at the Jamboree, so any work you don't present can't count towards your project.
This is an area where we are different as we care about sharing, openness and contributing to the community and investors don't always agree with these values. It is up to you and your team to decide what to do. Remember that most universities have a commercialization department and that you can talk to them before coming to a decision.


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For a limited time, you can put a minimum of R250 into your goals (instead of the usual R350). Once off or monthly. Or both!
Sometimes life gets in the way of our plans despite our best intentions. So we’ve made sure you can track the progress of your goals. See how many days you have to go and if you’re going to reach them on time. Then make changes if you need to.
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Our funds represent the top listed companies around the world.
With the launch of tax free savings, you can opt between taxed and tax free investments. We’ll also protect you from over contributing, so you can enjoy your tax freeness!


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""" Exceptions """ # Author: Gael Varoquaux < gael dot varoquaux at normalesup dot org > # Copyright: 2010, Gael Varoquaux # License: BSD 3 clause
"""A simple exception with an error message that you can get to.""" # We need to implement __init__ so that it is picked in the # multiple heritance hierarchy in the class created in # _mk_exception. Note: in Python 2, if you implement __init__ # in your exception class you need to set .args correctly, # otherwise you can dump an exception instance with pickle but # not load it (at load time an empty .args will be passed to # the constructor). Also we want to be explicit and not use # 'super' here. Using 'super' can cause a sibling class method # to be called and we have no control the sibling class method # constructor signature in the exception returned by # _mk_exception. Exception.__init__(self, *args)
if hasattr(self, 'args') and len(self.args) > 0: message = self.args[0] else: message = ''
name = self.__class__.__name__ return '%s\n%s\n%s\n%s' % (name, 75 * '_', message, 75 * '_')
"""An exception containing all the info to wrap an original exception and recreate it. """
# The next line set the .args correctly. This is needed to # make the exception loadable with pickle JoblibException.__init__(self, message, etype) self.message = message self.etype = etype
""" An exception that is not KeyboardInterrupt to allow subprocesses to be interrupted. """
# Create an exception inheriting from both JoblibException # and that exception name = exception.__name__ # Avoid creating twice the same exception this_exception = _exception_mapping[this_name] else: # JoblibException is already a subclass of Exception. No # need to use multiple inheritance return JoblibException, this_name this_name, (JoblibException, exception), {}) except TypeError: # This happens if "Cannot create a consistent method # resolution order", e.g. because 'exception' is a # subclass of JoblibException or 'exception' is not an # acceptable base class this_exception = JoblibException
lambda x: x.endswith('Error'), dir(_builtin_exceptions)) else: import exceptions as _builtin_exceptions common_exceptions = dir(_builtin_exceptions)
# Updating module locals so that the exceptions pickle right. AFAIK this # works only at module-creation time |


Poems of Emily Brontë
by Emily Brontë
Anticipation
Additional Information
- Year Published: 1846
- Language: English
- Country of Origin: England
- Source: Bronte, A., Bronte, C., and Bronte, E. (1846). Poems by Currer, Ellis, and Acton Bell. London, England: Aylott and Jones.
-
Readability:
- Flesch–Kincaid Level: 8.0
- Word Count: 325
- Genre: Poetry
- Keywords: expectation, fear
- ✎ Cite This
Downloads
How beautiful the earth is still,
To thee—how full of happiness?
How little fraught with real ill,
Or unreal phantoms of distress!
How spring can bring thee glory, yet,
And summer win thee to forget
December’s sullen time!
Why dost thou hold the treasure fast,
Of youth’s delight, when youth is past,
And thou art near thy prime?
When those who were thy own compeers,
Equals in fortune and in years,
Have seen their morning melt in tears,
To clouded, smileless day;
Blest, had they died untried and young,
Before their hearts went wandering wrong,—
Poor slaves, subdued by passions strong,
A weak and helpless prey!
Because, I hoped while they enjoyed,
And by fulfilment, hope destroyed;
As children hope, with trustful breast,
I waited bliss—and cherished rest.
A thoughtful spirit taught me soon,
That we must long till life be done;
That every phase of earthly joy
Must always fade, and always cloy:
This I foresaw—and would not chase
The fleeting treacheries;
But, with firm foot and tranquil face,
Held backward from that tempting race,
Gazed o’er the sands the waves efface,
To the enduring seas—
There cast my anchor of desire
Deep in unknown eternity;
Nor ever let my spirit tire,
With looking for WHAT IS TO BE!
It is hope’s spell that glorifies,
Like youth, to my maturer eyes,
All Nature’s million mysteries,
The fearful and the fair—
Hope soothes me in the griefs I know;
She lulls my pain for others’ woe,
And makes me strong to undergo
What I am born to bear.
Glad comforter! will I not brave,
Unawed, the darkness of the grave?
Nay, smile to hear Death’s billows rave—
Sustained, my guide, by thee?
The more unjust seems present fate,
The more my spirit swells elate,
Strong, in thy strength, to anticipate
Rewarding destiny!


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A Professionally managed company with a pool of self
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Dr.Yogendar Kumar (Founder & CEO)
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Anuj Thakur (Automation Engineer)


We are a small team from Victoria, BC dedicated to supporting you through all stages of long-distance running. Whether you are a beginner, or seasoned ultra runner, we have something to offer. For any questions or concerns feel free to contact us.
Email<EMAIL_ADDRESS>Phone:<PHONE_NUMBER>


GNEE(1) GNEE(1) NAME gnee - record, replays or distributes X11 data SYNOPSIS gnee DESCRIPTION gnee is the graphical frontend to GNU Xnee. If you want more information about GNU Xnee read the GNU Xnee manual and the cnee info pages. GNU Xnee consists of a command lie program (cnee), a graphical frontend (gnee) and a Gnome Panel Applet (pnee). AUTHOR Henrik Sandklef. REPORTING BUGS Report bugs in the program to<EMAIL_ADDRESS>COPYRIGHT Copyright (C) 2006, 2007 Henrik Sandklef. This is free software; see the source for copying conditions. There is NO warranty;not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. SEE ALSO cnee(info),cnee(1),Xnee(info) VERSION gnee man page, version 3.13 NOTES This page describes the graphical frontend, gnee gnee. Mail corrections and additions to<EMAIL_ADDRESS>Xnee 2007 GNEE(1)


-
{% for small-module in site.services %}
-
{{ small-module.title | escape }}
{{ small-module.text | escape }}
{% endfor %}
--- layout: default ---
We pride ourselves on practical yet imaginative design solutions to bring out the best of your brand. It’s about you and your audience.
Plotting to take over the world? Count us in...we’ll bring our design flair and visionary ideas. Aiming a little lower? We can start small and aim for your industry.


<var>
The <var>
element defines a variable within a syntax diagram for which
the user must supply content, such as their user name or password. Processors typically
represent the <var>
element in output in an italic font, but are not
required to do so. This element is part of the DITA programming domain, a special set of
DITA elements designed to document programming tasks, concepts, and reference
information.
Category: Programming elements


The Semantic Model workgroup was responsible for maintaining the PWG Semantic Model and defining new mappings and abstract models as needed to support interoperability and data exchange between Imaging Systems. Ongoing maintenance of the Semantic Model (using automated tools) is now being done by the Internet Printing Protocol workgroup.
The PWG Semantic Model is an abstract version of the Internet Printing Protocol model and semantics.
Mailing list<EMAIL_ADDRESS>· Subscribe
Archives: Meeting Minutes · SMv3 List Archive · SMv2 List Archive · SMv1 List Archive
PWG Semantic Model: Repository
PWG Semantic Model Schema v2.0: Index · System Service · Print Service · Operations · ZIP Archive (Last Updated December 4, 2012)
PWG Semantic Model Schema v3.0: Browsable · ZIP Archive (Last Updated January 28, 2016)
White
Paper on the goal for the MFD modeling effort (January 8, 2010)
Printer Semantic Evolution and the PWG (October 2, 2012)
Note: Although the Semantic Model Schema's namespaces references the PWG website and the individual schema are available on the site, the schema files MUST NOT be referenced or retrieved by implementations based on the schema. The entire schema should be stored locally for development purposes and, if required, available locally with any deployed product.
PWG 5105.1 - PWG Semantic Model Specification Version 1.0
Namespace: https://www.pwg.org/schemas/sm/1.0/
Directory containing Schema and WSDL files
Download
zip file containing Schema, WSDL and XMLSPY project file
PWG 5108.01-2011 - MFD Model and Common Semantics Version 1.0
Namespace: https://www.pwg.org/schemas/2011/4/sm
Directory containing Schema and WSDL files
Download
zip file containing Schema, WSDL and XMLSPY project file
PWG 5108.02-2009 - Network Scan Service Semantic Model and Service Interface Version 1.0
Namespace: https://www.pwg.org/schemas/2009/4/sm
Directory containing Schema and WSDL files
Download
zip file containing Schema, WSDL and XMLSPY project file
PWG 5108.03-2009 - Network Resource Service Semantic Model and Service Interface Version 1.0
Namespace: https://www.pwg.org/schemas/2009/5/sm
Directory containing Schema and WSDL files
Download
zip file containing Schema, WSDL and XMLSPY project file
PWG5108.04-2011 - Copy Service Semantic Model and Service Interface Version 1.0
Namespace: https://www.pwg.org/schemas/2011/4/sm
Directory containing Schema and WSDL files
Download
zip file containing Schema, WSDL and XMLSPY project file
PWG5108.05-2011 - FaxOut Service Semantic Model and Service Interface Version 1.0
Namespace: https://www.pwg.org/schemas/2011/4/sm
Directory containing Schema and WSDL files
Download
zip file containing Schema, WSDL and XMLSPY project file
PWG5108.06-2012 - System Object and System Control Service Semantics Version 1.0
Namespace: https://www.pwg.org/schemas/2012/2/sm
Directory containing Schema and WSDL files
Download zip file containing Schema, WSDL and XMLSPY project file
PWG5108.07-2012 - PWG
Print Job Ticket and Associated Capabilities Version 1.0
Namespace: https://www.pwg.org/schemas/2012/8/sm
Directory containing Schema files
Download zip file containing Schema and XMLSPY project files
Browse PWG Print Job Ticket
Browse PWG Printer Capabilities
Browse PWG Printer Defaults


This is a custom panel UI to achieve a different look and feel while not changing the default appearance of an Ext.Panel.
It uses the new theming system included in Ext4, to create new Ext.panel.Panel UI's using included mixins.


object CardUtils
Utility class for functions to do with cards.
getPossibleCardBrand |
fun getPossibleCardBrand(cardNumber: String?): CardBrand |
isValidCardNumber |
Checks the input string to see whether or not it is a valid card number, possibly with groupings separated by spaces or hyphens. fun isValidCardNumber(cardNumber: String?): Boolean |


Create your own loving pet!
Cats and dogs and others
I like dogs? What pets do you like?
And he is:
Funny
Loud
Smelly
Loving
Derpy
Wonderful pet!
Save pet


Please specify any optional deployment properties. You can either use the builder.
Alternatively, you can point to an external properties file containing the deployment properties. For more
information please see the Technical Documentation.


Diff - Left File: CorporateIncomeTax/Common/IRS8865ScheduleK1/IRS8865ScheduleK1.xsd (2013v1.1) Right File: CorporateIncomeTax/Common/IRS8865ScheduleK1/IRS8865ScheduleK1.xsd (2013v2.0)
OLD: CorporateIncomeTax/Common/IRS8865ScheduleK1/IRS8865ScheduleK1.xsd (2013v1.1)
NEW: CorporateIncomeTax/Common/IRS8865ScheduleK1/IRS8865ScheduleK1.xsd (2013v2.0)
OLD line(s): 1153,1154
<xsd:pattern value="[A-Y*]"/>
<xsd:pattern value="[A-Y][*]"/>
NEW line(s): 1153,1154
<xsd:pattern value="[A-Z*]"/>
<xsd:pattern value="[A-Z][*]"/>


|
Elektra
0.8.22
|
Notification feature. More...
Files | |
| file | kdbnotification.h |
| Elektra-Notification structures and declarations for application developers. | |
| file | kdbnotificationplugin.h |
| Elektra-Notification structures and declarations for developing notification plugins. | |
Notification feature.
For an introduction to notifications please see the Notification Tutorial.
elektraNotificationOpen() loads and mounts the internalnotification plugin globally at run-time. The key database is not altered permanently. elektraNotificationClose() reverts the mounting.
The internalnotification plugin is mounted at its defined positions (see its plugin docs).
kdb global-mount
the list plugin is mounted at all positions. This plugin allows to mount multiple plugins at a position. If this plugin is present at a position the internalnotification plugin is added to the list plugin's configuration at run-time.


Node.js Variant Skip this step and go to 10 MyApp on NodeJS Site
At this point we are making sure the plumbing is working. Nothing in MyApp
should be affected by the change in application
that was
performed in Get GAE Site ID point 2.
MyApp
If MyApp
is intended to be the default app then access it with a browser with URL localhost:8882
If MyApp
is not intended to be the default app then access it with a browser with URL localhost:8882/apps/MyApp.htm
If the demo apps are removed from the x:\tri-devp\war\apps
folder then their use will cause Error 404
to be displayed on the browser.
If they are not removed the signon page for each app will still be presented but it will be impossible to login.
If the intention was to keep them then each will need an AdminUser and User(s) to be created as well
as the loading of the Datastore using the WAKS Utility with the data provided in the
x:\tri-devp\data
folder.
Once the local test has proved successful we are ready to proceed to the next step, 08 Upload to GAE Site


Land Surveyor Forum
Connect with Other Land Surveyors through Discussion
Find Support for your Equipment and fix errors without leaving the field. Connect with Other Land Surveyors through Discussion<
Read More
Land Surveyor Stories
Read the latest posts from the Surveyor Community Blog
Read the latest posts from the Surveyor Community Blog
Read More
Surveyor Set Ups
Learn the best and worst ways to set up equipment
Learn the best and worst ways to set up equipment
Read More
Land Surveyor Directory
Connect with Land Surveyors anywhere in the world
Connect with Land Surveyors anywhere in the world
Read More
Surveying Photos
See through the eyes of land surveyors across the planet
See through the eyes of land surveyors across the planet
Read More
Survey By Night
Go Underground in Mining surveys
Go Underground in Mining surveys
Read More
Land Surveyors United Members
Currently over 12,200 surveyors worldwide
Currently over 12,200 surveyors worldwide
Read More
Survey Markers
View the Survey Markers Database
View the Survey Markers Database
Read More
Historic Surveying Photos
Travel Back in Time
Travel Back in Time and take a peek into the oldest profession known to man
Read More
Equipment Manuals
Find helpful support documents for the survey equipment you use daily
This grid is an attempt to make something nice that works on touch devices. Ignoring hover states when they're not available etc.
Read More
Historic Maps
Contribute to the evolution of surveying maps
Contribute to the evolution of surveying maps
Read More
Surveying Equipment Support
Follow and contribute to the support hubs for the equipment you use
Follow and contribute to the support hubs for the equipment you use
Read More
Surveying Guides & Tutorials
Learn land surveying techniques from multiple perspectives
This grid is an attempt to make something nice that works on touch devices. Ignoring hover states when they're not available etc.
Read More
Construction Projects
See What your Fellow Surveyors are working on around the world
This grid is an attempt to make something nice that works on touch devices. Ignoring hover states when they're not available etc.
Read More
Aerial Surveying with Drones
Learn how UAV surveying is changing the industry
This grid is an attempt to make something nice that works on touch devices. Ignoring hover states when they're not available etc.
Read More
Surveying Videos
Learn Something New Everyday
This grid is an attempt to make something nice that works on touch devices. Ignoring hover states when they're not available etc.
Read More
Land Surveyor Resources
May 5 2012
This grid is an attempt to make something nice that works on touch devices. Ignoring hover states when they're not available etc.
Read More
Surveyor Leaderboards
May 5 2012
This grid is an attempt to make something nice that works on touch devices. Ignoring hover states when they're not available etc.
Read More


TYPE: 2
SYSTEM: CANADIAN
STATE: DUBAI
RESIDENCE NON-BOARDING
LEVEL: COLLEGE
GENDER: MALE
EMAIL<EMAIL_ADDRESS>PERFORMANCE: B+
Tel: +971 56564 1994 Email<EMAIL_ADDRESS>Website: www.example.com
The next generation of our icon library + toolkit is coming with more icons, more styles, more services, and more awesome. Pre-order now to get early access and releases over the next year!


|
Bolt Preview
0.4.4
C++ template library with support for OpenCL
|
Functions | |
| template<typename RandomAccessIterator > | |
| void | bolt::cl::sort (RandomAccessIterator first, RandomAccessIterator last, const std::string &cl_code="") |
| template<typename RandomAccessIterator , typename StrictWeakOrdering > | |
| void | bolt::cl::sort (RandomAccessIterator first, RandomAccessIterator last, StrictWeakOrdering comp, const std::string &cl_code="") |
| template<typename RandomAccessIterator > | |
| void | bolt::cl::sort (const bolt::cl::control &ctl, RandomAccessIterator first, RandomAccessIterator last, const std::string &cl_code="") |
| template<typename RandomAccessIterator , typename StrictWeakOrdering > | |
| void | bolt::cl::sort (const bolt::cl::control &ctl, RandomAccessIterator first, RandomAccessIterator last, StrictWeakOrdering comp, const std::string &cl_code="") |
| void bolt::cl::sort | ( | RandomAccessIterator | first, |
| RandomAccessIterator | last, | ||
| const std::string & | cl_code = "" |
||
| ) |
This
version of sort returns the sorted result of all the elements in the RandomAccessIterator
between the the first and last elements. The routine arranges the elements in ascending order. RandomAccessIterator's
value_type must provide operator < overload.
The sort
operation is analogus to the std::sort function. See http://www.sgi.com/tech/stl/sort.html.
| RandomAccessIterator | Is a model of http://www.sgi.com/tech/stl/RandomAccessIterator.html, RandomAccessIterator is mutable, RandomAccessIterator's value_type is convertible to StrictWeakOrdering's RandomAccessIterator's value_type is LessThanComparable http://www.sgi.com/tech/stl/LessThanComparable.html; i.e., the value _type must provide operator < overloaded. |
| first | The first position in the sequence to be sorted. |
| last | The last position in the sequence to be sorted. |
| cl_code | Optional OpenCL(TM) code to be passed to the OpenCL compiler. The cl_code is inserted first in the generated code, before the cl_code traits. This can be used for any extra cl code to be passed when compiling the OpenCl Kernel. |
The following code example shows the use of sort
to sort the elements in the ascending order.
| void bolt::cl::sort | ( | RandomAccessIterator | first, |
| RandomAccessIterator | last, | ||
| StrictWeakOrdering | comp, | ||
| const std::string & | cl_code = "" |
||
| ) |
sort
returns the sorted result of all the elements in the inputIterator between the the first and last elements using the specified binary_op. You can arrange the elements in ascending order, where the binary_op is the less<>() operator. This version of sort
does not take a bolt::cl::control structure. The Bolt library provides a default command Queue for a device. The comparison object functor
object is defined by StrictWeakOrdering
.
The sort
operation is analogus to the std::sort function. See http://www.sgi.com/tech/stl/sort.html.
| RandomAccessIterator | is a model of http://www.sgi.com/tech/stl/RandomAccessIterator.html, RandomAccessIterator is mutable, RandomAccessIterator's value_type is convertible to StrictWeakOrdering's RandomAccessIterator's value_type is LessThanComparable http://www.sgi.com/tech/stl/LessThanComparable.html i.e the value _type should provide operator < overloaded. |
| StrictWeakOrdering | Is a model of http://www.sgi.com/tech/stl/StrictWeakOrdering.html. |
| first | The first position in the sequence to be sorted. |
| last | The last position in the sequence to be sorted. |
| comp | The comparison operation used to compare two values. |
| cl_code | Optional OpenCL(TM) code to be passed to the OpenCL compiler. The cl_code is inserted first in the generated code, before the cl_code traits. This can be used for any extra cl code that is to be passed when compiling the OpenCl Kernel. |
The following code example shows the use of sort
to sort the elements in descending order.
| void bolt::cl::sort | ( | const bolt::cl::control & | ctl, |
| RandomAccessIterator | first, | ||
| RandomAccessIterator | last, | ||
| const std::string & | cl_code = "" |
||
| ) |
This
version of sort returns the sorted result of all the elements in the RandomAccessIterator
between the the first and last elements. The routine arranges the elements in an ascending order. RandomAccessIterator's
value_type must provide operator < overload.
The sort
operation is analogus to the std::sort function. See http://www.sgi.com/tech/stl/sort.html
| RandomAccessIterator | Is a model of http://www.sgi.com/tech/stl/RandomAccessIterator.html, RandomAccessIterator is mutable, RandomAccessIterator's value_type is convertible to StrictWeakOrdering's RandomAccessIterator's value_type is LessThanComparable http://www.sgi.com/tech/stl/LessThanComparable.html; i.e., the value _type must provide operator < overloaded. |
| ctl | Control structure to control command-queue, debug, tuning, etc. See bolt::cl::control. |
| first | The first position in the sequence to be sorted. |
| last | The last position in the sequence to be sorted. |
| cl_code | Optional OpenCL(TM) code to be passed to the OpenCL compiler. The cl_code is inserted first in the generated code, before the cl_code traits. This can be used for any extra cl code that is to be passed when compiling the OpenCl Kernel. |
The following code example shows the use of sort
to sort the elements in the ascending order, specifying a specific command-queue.
| void bolt::cl::sort | ( | const bolt::cl::control & | ctl, |
| RandomAccessIterator | first, | ||
| RandomAccessIterator | last, | ||
| StrictWeakOrdering | comp, | ||
| const std::string & | cl_code = "" |
||
| ) |
sort
returns the sorted result of all the elements in the inputIterator between the the first and last elements using the specified binary_op. You can arrange the elements in an ascending order, where the binary_op is the less<>() operator. This version of sort
takes a bolt::cl::control structure as a first argument and compares objects using functor
object defined by StrictWeakOrdering
.
The sort
operation is analogus to the std::sort function. See http://www.sgi.com/tech/stl/sort.html.
| RandomAccessIterator | Is a model of http://www.sgi.com/tech/stl/RandomAccessIterator.html, RandomAccessIterator is mutable, RandomAccessIterator's value_type is convertible to StrictWeakOrdering's RandomAccessIterator's value_type is LessThanComparable http://www.sgi.com/tech/stl/LessThanComparable.html i.e the value _type should provide operator < overloaded. |
| StrictWeakOrdering | Is a model of http://www.sgi.com/tech/stl/StrictWeakOrdering.html. |
| ctl | Control structure to control command-queue, debug, tuning, etc. See bolt::cl::control. |
| first | The first position in the sequence to be sorted. |
| last | The last position in the sequence to be sorted. |
| comp | The comparison operation used to compare two values. |
| cl_code | Optional OpenCL(TM) code to be passed to the OpenCL compiler. The cl_code is inserted first in the generated code, before the cl_code traits. This can be used for any extra cl code that is to be passed when compiling the OpenCl Kernel. |
The following code example shows the use of sort
to sort the elements in the descending order, specifying a specific command-queue.


--- title: Why Concur? layout: default ---
Tap the $1.3 trillion business travel market* and deliver solutions to integrate easily with our APIs for Travel, Expense and Invoice. Promote your services through the Concur App Center, featuring apps such as Uber, Starbucks, Airbnb and Starwood.
Hear what our customers and partners are saying about the value of Concur integrations:
We’re looking for qualified ISVs and third party developers with compelling integration ideas to solve real business problems for Concur’s 40 million business travelers and 33,000 enterprises worldwide. If your business is well established and you’re committed to develop, market and support your integration, then we’d like to talk with you about our Platform Partner Program (fees apply). Click the link below to send an email to our Platform & Partner Solutions business development team.
Contact Us*GBTA Foundation
Maximize your investment in Concur by creating custom applications and integrations that meet the specific needs of your company. Developer tools and APIs enable you to build and customize easily — and save time and money.
To use the APIs, your company must subscribe to the “Web Services” service from Concur. Contact your Concur Client Executive, Account Manager or Sales Executive to learn more. If you don’t know your Concur contact, check with your company’s internal Concur administrator.
 Extend your value as a preferred supplier and acquire new users while saving costs. Also extend the benefits of managed travel programs, like negotiated rates and policy compliance, to all bookings that take place on TripLink supplier sites.
Contact Us


{% extends "base.html" %} {% block extra_head %} {% end %} {% block main %}
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Service design
Principles & guidance
Design principles
Help to guide decisions in your service or organisation
Design guidance
Making prototypes, naming your service and working with patterns
Tools
GOV.UK Frontend
Build accessible, responsive web interfaces for government
GOV.UK Prototype Kit
Make HTML prototypes for user research and service design
Patterns & styles
GOV.UK Elements
How to make your service look consistent with the rest of GOV.UK
GOV.UK Patterns
Reusable code and standards to solve common problems
Department patterns
Reusable code and standards to solve common problems


|
Scarab: Application Programming Interface (API)
|
Advanced Scarab API
Scarab
- type(value, type)
-
Return a special object containing value explicitly typed
as type. This method is sometimes needed depending on the
protocol or server being messaged. See LDO-Types for more information
on type.
- int(value)
-
Return value explicitly typed as an integer.
- float(value)
-
Return value explicitly typed as a float.
- string(value)
-
Return value explcitly typed as a string.
ScarabConnection
The server(), server_root(), and serve()
methods in an ScarabConnection class are the "real" methods for any
particular protocol. Scarab figures out which protocol is going to be
used, creates the appropriate ScarabConnection instance, and then
forwards those methods to the new instance. Users don't call those
directly.
- server(url [, options])
-
Creates a new connection using the transport given in url.
options is a dictionary containing options specific to each
implementation.
- server_root(scarab_url [, options ])
-
Creates a new connection using the transport given in url
and return a proxy for the server's root object. options
is a dictionary.
- serve(scarab_url [, options ])
-
Creates a server endpoint for url. options is a
dictionary. The server is not started until start() or accept() is
called.


Test Website
libpion documentation
Hello World service
Echo request information
Cookie service
Log event service
Demonstration of Authentication interface
Basic Authentication
(use stas/123456 or mike/123456)
Cookie Authentication
login
mike/123456
logout


Bitcoin’s Largest Blockchain Just Launched Crypto Exchange
Bitcoin wallet and blockchain explorer provider Blockchain just launched its first exchange platform.
Blockchain’s head of retail products, TD Ameritrade alum Nicole Sherrod, told CoinDesk the custodial exchange, called The PIT, can connect to non-custodial Blockchain wallets for nearly instant transfers. Registration opens today, with the ability to trade up to 26 assets rolling out over the next two weeks.
Sherrod said that with nearly 40 million wallets already created – and an exchange matching-engine set up in London’s Equinix LD4 data center – PIT could be posed to attract more liquidity than competitors. “That’s what market makers are looking for,” Sherrod said. “They want to co-locate [data center servers] with you, they want to directly connect to your matching engine. It’s the way it’s done on Wall Street.”
Indeed, Tom Haller, previously the chief software architect for trading systems at the New York Stock Exchange, contributed to the development of PIT’s matching engine.
Sherrod added the exchange will measure speed in “microseconds,” like traditional asset exchanges. However, an anonymous industry expert was skeptical about whether that theoretical speed with remain constant under real pressures. The source said many infrastructure dependencies are “almost impossible to model out,” so the system will only prove itself when tested by “real-world trading volumes.”
Either way, Blockchain is prioritizing diverse token offerings over margin trading options and the bitcoin software update SegWit, both of which are also on the road map.
“Beyond the 26 [assets] we already know what our phase two asset listings are going to be, as well as phase three,” Sherrod said, declining to name any assets beyond what the wallet already supports.
It remains to be seen how PIT will compete with mainstream exchanges like Binance and Coinbase, which also offer a plethora of crypto assets. Coinbase was also a wallet provider and brokerage, before it became Silicon Valley’s iconic unicorn exchange.
“We’re looking to compete on the overall client experience,” Sherrod said, adding that a new customer support team has become the second-largest division of the company as part of a broader shift to exchange services.
Mainstream exchanges are generally slow to respond to retail users when market activity spikes, so Sherrod argued that beyond speed this is another area where PIT could rival incumbents.
Only time will tell if the new revenue flows Blockchain users generate through transaction fees will justify this expansion into the heavily saturated exchange space, with fierce competition for market makers and heavily regulatory costs.
Blockchain is applying for new licenses in various jurisdictions, Sherrod said, but failed to specify which ones. In the meantime, the exchange won’t operate in any jurisdiction that requires a license, a spokesperson added.


"ADORE "to worship; to express reverence and homage. The forms of adoration among the Jews were putting off the shoes (Exodus 3:5; Joshua 5:15), and prostration (Genesis 17:3; Psalm 95:6; Isaiah 44:15, 17, 19; 46:6). To “kiss the Son” in Psalm 2:12 is to adore and worship him. (See Daniel 3:5, 6.) The word itself does not occur in Scripture.
"ADORE "to worship; to express reverence and homage. The forms of adoration among the Jews were putting off the shoes (Exodus 3:5; Joshua 5:15), and prostration (Genesis 17:3; Psalm 95:6; Isaiah 44:15, 17, 19; 46:6). To “kiss the Son” in Psalm 2:12 is to adore and worship him. (See Daniel 3:5, 6.) The word itself does not occur in Scripture.


{% load static %}
Relay Tax
Portal
Tax Interviewer
White-Labeled tax interviewer for
your customers on Mobile/Web/Tablet.
View Demo
Plan Name
White-Labeled
Website Intergration
# of Agents
Lite Plan
For Individuals and Small Business
3
$435
/year
Select
Business Plan
For Medium Sized Business
12
$652
/year
Select
Enterprise Plan
For Large Sized Business w/ Multiple Locations
Unlimited
$879
/year
$371
/location
Select


Serialization
//data must be [Serializable]
MyObjectType data = new MyObjectType();
MemoryStream stm = new MemoryStream();
// Serialize
IFormatter f = new BinaryFormatter(); //XmlSerializer, SoapFormatter
f.Serialize(stm, data);
// DeSerialize
stm.Seek(0, SeekOrigin.Begin);
IFormatter ds = new BinaryFormatter();
data = (MyObjectType)ds.Deserialize(stm);
- See msdn
- You must use [Serializable] on the class. It is NOT inherited.
- [DataContract]/[DataMember] is more flexible.
- XmlSerializer does not serialize private fields, but BinarySerializer does.
- Non-serializable event subscribers can be grabbed as well so decorate events with [field: NonSerialized]
- Generic collections are serializable but not generic Dictionary.
- To reinitialize [NonSerializable] members, implement IDeserializationCallback (void IDeserialization.OnDeserialization()).
- 2.0- For BinaryFormatter- you can create 4 events with attributes [OnDeserializing / OnDeserialization] (methods must take a StreamingContext).
[OnDeserialization] is much the same as IDeserializationCallback. - [OptionalField] - when deserialized, no error if not there (versioning) 2.0
- SoapFormatter- unlike BinaryFormatter, you must reference the *.soap.dll
- xmlSerializer- only public members and parameterless ctor. [XmlIgnore]=[NonSerialized]. Ctor takes the typeof(obj) NB if you use other overloaded ctors, dynamically generated assemblies are never unloaded... (you can use SGEN.exe to initialize them in 2.0)
- Custom serialization by implementing ISerializable.
- GetObjectData(SerializationInfo info, StreamingContext sc) serializes manually: info.AddValue("my name2", _var)
- #ctor(SerializationInfo info, StreamingContext sc) : _var= info.GetDecimal("my name");
- In both StreamContext.State is a enum of whether to file/db (Presistence) or cross machine etc
//xmlserializer
var serializer = new XmlSerializer(typeof(Product));
using (var sw = new StringWriter())
{
serializer.Serialize(sw, product);
var xml = sw.ToString();
}
//datacontract serializer
var dcs = new DataContractSerializer(typeof(Product));
using (var sw = new StringWriter())
{
using (var xw = XmlWriter.Create(sw))
{
dcs.WriteObject(xw, product);
}
var xml = sw.ToString();
}


Invention of the Internet
Arpanet
The History of the Internet: How Internet was born
Computer science was an emerging discipline in
the
late 1950s that began to consider time-sharing between computer users, and later, the possibility of
achieving
this over wider area networks.
The lack of direct communication between computers:
The concept of data communication – transmitting data between two different places
through an electromagnetic medium such as radio or an electric wire – pre-dates the introduction
of the first computers. Such communication systems were typically limited to point to point
communication
between two end devices.
It did not allow for direct communication between any two arbitrary systems; a
physical link was necessary. The technology was also considered vulnerable for strategic and military
use
because there were no alternative paths for the communication in case of a broken link.
In October 1962, Licklider was hired by Jack Ruina as director of the newly established Information
Processing Techniques Office (IPTO) within DARPA, with a mandate to interconnect the United States
Department of Defense's main computers at Cheyenne Mountain, the Pentagon, and SAC HQ. There he formed
an
informal group within DARPA to further computer research.
It was his vision of universal networking that helped Robert Taylor, to initiate the ARPANET
development.
Packet switching
In the 1960s, Paul Baran of the RAND Corporation produced a study of survivable networks for the U.S.
military in the event of nuclear war. Information transmitted across Baran's network would be divided
into
what he called "message blocks". Independently, Donald Davies proposed and put into practice a local
area
network based on what he called packet switching, the term that would ultimately be adopted.
Packet switching is a rapid store and forward networking design that divides messages up into
arbitrary packets, with routing decisions made per-packet.
It provides better bandwidth utilization and response times
than the traditional circuit-switching technology used for telephony,
particularly on resource-limited interconnection links.
ARPANET
Robert Taylor was promoted to the head of the Information Processing Techniques Office (IPTO)
at Defense Advanced Research Projects Agency (DARPA) in 1966.
He intended to realize Lickliter’s ideas of an interconnected networking system.
As part of the IPTO's role, three network terminals had been installed: one for System Development
Corporation in Santa Monica, one for Project Genie at University of California, Berkeley, and one for
the
Compatible Time-Sharing System project at Massachusetts Institute of Technology (MIT). Taylor's
identified
need for networking became obvious from the waste of resources apparent to him.
For each of these three terminals, he had three different sets of user commands. So if he was talking
online
with someone at S.D.C. and wanted to talk to someone he knew at Berkeley or M.I.T. about this, he had to
get
up from the S.D.C. terminal, go over and log into the other terminal and get in touch with them. He
believed
there ought to be one terminal that goes anywhere you want to go where you have interactive computing.
That
idea is the ARPAnet.
He initiated a project to build such a network. Roberts and Thomas Merrill had been researching computer
time-sharing over wide area networks. Wide area networks (WANs) emerged during the 1950s and became
established during the 1960s. Roberts presented a proposal for the "ARPA net", based on Wesley Clark's
proposal for using Interface Message Processors to create a message switching network.
ARPA awarded the contract to build the network to Bolt Beranek & Newman,
and the first ARPANET link was established between the University of California,
Los Angeles (UCLA) and the Stanford Research Institute at 22:30 hours on October 29, 1969.
A revolution had begun!
The software for establishing links between network sites in the ARPANET was the Network Control Program
(NCP).
ARPANET became the technical core of what would become the Internet, and a primary tool in developing
the
technologies used.
TCP/IP
TCP/IP
First Internet demonstration, linking the ARPANET to other networks:
Yogen Dalal proposed separating TCP's routing and transmission control
functions into two discrete layers, which led to the splitting of the
Transmission Control Program into the Transmission Control Protocol (TCP)
and the IP protocol (IP) in version 3 in 1978. Originally referred to as
IP/TCP, version 4 was described in IETF publication RFC 791 (September 1981),
792 and 793. It was installed on SATNET in 1982 and the ARPANET in January
1983 after the DoD made it standard for all military computer networking.
This resulted in a networking model that became known informally as TCP/IP.
It was also referred to as the ARPANET model.
NSFNET
The networks based on the ARPANET were government funded and therefore restricted to noncommercial uses
such
as research; unrelated commercial use was strictly forbidden.
During the 1980s, the connections expanded
to
more educational institutions, and even to a growing number of companies such as Digital Equipment
Corporation and Hewlett-Packard, which were participating in research
projects or providing services to
those who were.In the mid-1980s, all three of these branches developed the first Wide Area Networks
based on
TCP/IP.
NASA developed the NASA Science Network, NSF developed CSNET and DOE evolved the Energy Sciences
Network or ESNet.
Transition towards the Internet
The term "internet" was reflected in the first RFC published
on the TCP protocol (RFC 675:[90] Internet Transmission Control Program, December 1974) as a short form
of
internetworking, when the two terms were used interchangeably. In general, an internet was a collection
of
networks linked by a common protocol.
In the time period when the ARPANET was connected to the newly
formed
NSFNET project in the late 1980s, the term was used as the name of the network, Internet, being the
large
and global TCP/IP network.
As interest in networking grew by needs of collaboration,
exchange of data, and access of remote computing resources,
the TCP/IP technologies spread throughout the rest of the world.
Many sites unable to link directly to the Internet created simple
gateways for the transfer of electronic mail, the most important application of the time.
Sites with only intermittent connections used UUCP or FidoNet and relied on the
gateways between these networks and the Internet. Some gateway
services went beyond simple mail peering, such as allowing access
to File Transfer Protocol (FTP) sites via UUCP or mail.
World Wide Web and introduction of browsers
Tim Berners-Lee is credited with inventing the World Wide Web in 1989 and developing in 1990 both the
first
web server, and the first web browser, called WorldWideWeb (no spaces) and later renamed Nexus. Many
others
were soon developed, with Marc Andreessen's 1993 Mosaic (later Netscape), being particularly easy to use
and
install.
Other major web browsers have been Internet Explorer, Firefox, Google Chrome, Microsoft Edge, Opera and
Safari.
The Internet Society
The Internet Society (ISOC) is an international, nonprofit organization founded during 1992 "to assure
the
open development, evolution and use of the Internet for the benefit of
all people throughout the world".
Email and Usenet
E-mail has often been called the killer application of the Internet. It predates the Internet and was a
crucial tool in creating it. Email started in 1965 as a way for multiple users of a time-sharing
mainframe
computer to communicate.
The ARPANET computer network made a large contribution to the evolution of electronic mail. Email could
be
passed this way between a number of networks, including ARPANET, BITNET and NSFNET, as well as to hosts
connected directly to other sites via UUCP. See the history of SMTP protocol.


#include "ubertexture_afx.h"
#include "UTX.h"
#include "UTConfig.h"
#include "common_afx.h"
#include <assert.h>
#include <algorithm>
Go to the source code of this file.
Classes | |
| struct | UTHeader |
| UTHeader: the header for an ubertexture. More... | |
| struct | UTStageHeader |
| UTStageHeader: the header for an ubertexture stage. More... | |
| struct | UTChannelHeader |
| UTChannelHeader: the header for an ubertexture channel. More... | |
| struct | UTRowHeader |
| UTRowHeader: the header for each row of tiles in the ubertexture. More... | |
| struct | UTSortInfo |
| UTSortInfo: a structure that can be used to sort tiles by their address. More... | |
| struct | UTTileAddrMap |
| UTTileAddrMap: a cache that maps x and y to a linear address. More... | |
Defines | |
| #define | PROFILE_DISK_SPEED 0 |
| Purpose: To provide the entry point for the ubertexture server. | |
| #define | min std::min |
| #define | max std::max |
| #define | UT_TRACK_STATS 1 |
| debugging data. | |
| #define | UT_ALIGNMENT 2048 |
| #define | UT_ALIGNMENT_MASK 2047 |
| #define | ADDR_MAP_COUNT 12 |
Functions | |
| void | UTX_InitStream (UTX_stream_t *stream) |
| Global functions. | |
| bool | UTX_IsStream (UTX_stream_t *stream) |
| UTX_IsStream: returns true if the stream is a valid, open stream. | |
| bool | UTX_CreateStream (UTX_stream_t *stream, const char *fileName, int width, int height, int stageCount, UTFlags *flags, int *channels) |
| UTX_CreateStream: creates an ubertexture for reading and writing. | |
| bool | UTX_OpenStream (UTX_stream_t *stream, const char *fileName) |
| UTX_OpenStream: opens an ubertexture for reading and writing. | |
| int | UTX_GetWidth (UTX_stream_t *stream) |
| int | UTX_GetHeight (UTX_stream_t *stream) |
| int | UTX_NumStages (UTX_stream_t *stream) |
| UTFlags | UTX_GetStageFlags (UTX_stream_t *stream, int stage) |
| int | UTX_NumStageChannels (UTX_stream_t *stream, int stage) |
| int | UTX_CalcStageTileSize (UTX_stream_t *stream, int stage) |
| int | UTX_CalcTileSize (UTX_stream_t *stream) |
| UTX_CalcTileSize: calculates the size of an uncompressed tile. | |
| void | UTX_CloseStream (UTX_stream_t *stream) |
| UTX_CloseStream: closes the stream passed in. | |
| void | UTX_OptimizeReadOrder (UTX_stream_t *stream, unsigned int *packedTiles, unsigned int count) |
| bool | UTX_ReadTile (UTX_stream_t *stream, void *vdest, int x, int y, int mipLevel, int *bytesRead) |
| bool | UTX_WriteTile (UTX_stream_t *stream, int x, int y, int mipLevel, const void *vsource, int *bytesWritten) |
| int | CalcRowOffsetIdx (UTX_stream_t *stream, int mip, int row) |
| unsigned int | CompressTileData (UTX_stream_t *stream, void *src, float *qualityMatrix) |
| #define PROFILE_DISK_SPEED 0 |
| int CalcRowOffsetIdx | ( | UTX_stream_t * | stream, | |
| int | mip, | |||
| int | row | |||
| ) |
| unsigned int CompressTileData | ( | UTX_stream_t * | stream, | |
| void * | src, | |||
| float * | qualityMatrix | |||
| ) |
| int UTX_CalcStageTileSize | ( | UTX_stream_t * | stream, | |
| int | stage | |||
| ) |
| int UTX_CalcTileSize | ( | UTX_stream_t * | stream | ) |
| void UTX_CloseStream | ( | UTX_stream_t * | stream | ) |
| bool UTX_CreateStream | ( | UTX_stream_t * | stream, | |
| const char * | fileName, | |||
| int | width, | |||
| int | height, | |||
| int | stageCount, | |||
| UTFlags * | flags, | |||
| int * | channels | |||
| ) |
UTX_CreateStream: creates an ubertexture for reading and writing.
zero out the values in the stream structure passed in.
verify incoming parameters.
create a new file.
make sure the file was successfully created.
make a copy of the file name.
build and write out the file header.
allocate channel headers and fill out stage headers.
calculate the size of each tile, in bytes.
set the headers to the stream.
fill out the header.
now store the header in a temporary write buffer.
write the data to the write buffer.
store the stage headers along with the channel headers.
store the stage header.
store the channel headers.
now write the header to the file.
convert the width and height into blocks.
calculate the total number of mip levels.
build the tile lookup table.
allocate a buffer to contain temporary default data.
calculate the total tile count for the entire file.
calculate how many tiles reside in the current mip level.
add the tile count to the running total.
now fill the rest of the file with default data.
write out the current row of tiles.
free the temporary buffer containing default data.
return true to indicate success.
| int UTX_GetHeight | ( | UTX_stream_t * | stream | ) |
| UTFlags UTX_GetStageFlags | ( | UTX_stream_t * | stream, | |
| int | stage | |||
| ) |
| int UTX_GetWidth | ( | UTX_stream_t * | stream | ) |
| void UTX_InitStream | ( | UTX_stream_t * | stream | ) |
| bool UTX_IsStream | ( | UTX_stream_t * | stream | ) |
| int UTX_NumStageChannels | ( | UTX_stream_t * | stream, | |
| int | stage | |||
| ) |
| int UTX_NumStages | ( | UTX_stream_t * | stream | ) |
| bool UTX_OpenStream | ( | UTX_stream_t * | stream, | |
| const char * | fileName | |||
| ) |
UTX_OpenStream: opens an ubertexture for reading and writing.
zero out the values in the stream structure passed in.
verify incoming parameters.
create a new file.
make sure the file was successfully created.
make a copy of the file name.
read in the header information to a local buffer.
read in the file header.
verify the header.
read in the stage headers.
read in the stage header.
read in the current stage's channel headers.
calculate the number of mip levels.
set the stream's address map.
return true to indicate success.
| void UTX_OptimizeReadOrder | ( | UTX_stream_t * | stream, | |
| unsigned int * | packedTiles, | |||
| unsigned int | count | |||
| ) |
UTX_OptimizeReadOrder: reorders a list of packed tiles for optimal disk access. This function returns false if any invalid tiles were found.
verify that our buffer is large enough to hold the sort information.
first, pack all of our data into sort structures.
decode the packed tile info.
store everything into the sortInfo structure.
now sort.
now copy back to the original array.
| bool UTX_ReadTile | ( | UTX_stream_t * | stream, | |
| void * | dest, | |||
| int | x, | |||
| int | y, | |||
| int | mipLevel, | |||
| int * | bytesRead = 0 | |||
| ) |
UTX_ReadTile: reads numStages of 64x64 tiles from the uber-texture. The destination buffer must be large enough to hold numStages of uncompressed data.
seek to the tile in the texture.
get the size of the tile.
allocate temporary storage for the compressed data as well as one stage of decompressed data.
TODO: If vdest is null, route the read data to the encoder thread. read in compressed data.
perform decompression on each channel and interleave texture data.
now decompress the texture data.
get the current channel's flags.
decompress the current channel if necessary.
TODO: implement me!
perform a raw copy of the current channel.
advance the source data.
interleave data.
advance the destination pointer.
return true to indicate success.
| bool UTX_WriteTile | ( | UTX_stream_t * | stream, | |
| int | x, | |||
| int | y, | |||
| int | mipLevel, | |||
| const void * | source, | |||
| int * | bytesWritten = 0 | |||
| ) |
UTX_WriteTile: writes numStages of 64x64 tiles to the uber-texture. The source buffer must contain numStages of uncompressed pixel data. Note that the source buffer is trashed.
make sure the stream isn't compressed.
check all channels and all stages.
seek to the tile in the texture.
make sure the scratch buffer is large enough to do what we want.
de-interleave the data.
get the current stage header.
now separate out the different channels.
write the data to the stream.
advance the source pointer.
return true to indicate success.


will be neat when this is more solid. I already like it!!!! idk !!!!! it is.. just slow.
Next would be good to think a bit more about the in browser version.. how might it work with libs, and previews and such... need service worker? can we load html directly into frame.. i think so.. even js?


Connecting...
Draw Game by KK
Cheats
Pick your player number by opening the links below:
Player 1
Player 2
Player 3
Player 4
Room ID: 4238
Place Meeple
Player 1
Points
Player 2
Points
Player 3
Points
Player 4
Points


Hitchhhiker's Guide to Golang:
For more info visit Github.
Contents:
- Installation
- License
Commands
mkdocs new [dir-name]
- Create a new project.mkdocs serve
- Start the live-reloading docs server.mkdocs build
- Build the documentation site.mkdocs help
- Print this help message.
Project layout
mkdocs.yml # The configuration file.
docs/
index.md # The documentation homepage.
docs/env.md
... # Other markdown pages, images and other files.
License
The following work is done under [Apache License 2.0](LICENSE)


Passing Props to Route Components
参数传递
Home
Instead of coupling to $route:
Decouple it by using props
Decouple it by using props with named views


Sport (or sports) is all forms of usually competitive physical activity which, through casual or organised participation, aim to use, maintain
or improve physical ability and skills while providing entertainment to participants, and in some cases, spectators.
Hundreds of sports exist, from those requiring only two participants, through to those with hundreds of simultaneous participants, either in teams or competing as individuals.
There are different types of sports such as Football, Cricet, Basketball etc.
Football is a family of team sports that involve, to varying degrees, kicking a ball to score a goal. Unqualified, the word football normally means the form of football that is the most popular where the word is used.Football is the world’s most popular ball game in numbers of participants and spectators. Simple in its principal rules and essential equipment, the sport can be played almost anywhere, from official football playing fields (pitches) to gymnasiums, streets, school playgrounds, parks, or beaches.
Cricket is a sport which is played between two teams of eleven players each who score runs (points). This is done by hitting the ball across the boundary, or by running between two sets of three small, wooden posts called wickets. The wickets are at each end of a rectangle of short grass called 'the pitch'. The pitch is inside a much larger oval of grass called the 'area of play'. The area of play is a 30 yard circle inside the cricket ground or stadium. he game started in England in the 16th century. The earliest definite reference to the sport is in a court case of 1598.


 LOUIS, MISSOURI
STOP AND FRISK
SUICIDE
SUPREME COURT
SWAT
TECHNOLOGY
TENNESSEE
TERRORISM
TEXAS
WOMEN IN PRISON
WRONGFUL CONVICTION


You will not be able to proceed further in the application and will need to contact {{data.company}}.


{include file="public/css" /}
username
密码
status
on
off
role
administrators
Merchants
submit
cancle
{include file='public/js' /}


| Warehouse Name | Contact name | Contact Lastname | Phone | Cellphone | Address | City | Postal Code | ID Type | ID Code | Actions | ||
| {{warehouse.name }} | {{warehouse.user_name }} | {{warehouse.user_lastname }} | {{warehouse.tel }} | {{warehouse.cel }} | {{warehouse.email }} | {{warehouse.address }} | {{warehouse.localidad }} | {{warehouse.postalcode }} | Cuil | Cuit | {{warehouse.idCode }} |


Module OCX.OCDraw
Library for managing unbuffered draw contexts
Functions
| requestMemory () | Will remove double buffer of any context |
| redrawContext (ctxn) | Redraw the given draw context. |
| drawContext (ctxn) | Draw the given draw context. |
| gpuWrapper (ctxn) | Wrap the given draw context into a GPU driver. |
| newContext (x, y, width, height[, braille=0[, parent]]) | Create a draw context |
| isContextOpened (ctxn) | Returns whether the draw context is still opened or not |
| toOwnedBuffer (ctxn) | Converts the given draw context to a buffer and closes it. |
| closeContext (ctx) | Close the given draw context |
| getContextBounds (ctx) | Returns the bounds of the given draw context |
| moveContext (ctx, x, y) | Move the context to the given position |
| clipContext (ctx, regions) | Clip the context to the given regions |
| setBlockingDraw (ctx, blockDraw) | Sets whether or not to block the context's draw, making drawContext a no-op |
| canvas (ctxn) | Returns a canvas object made associated to the given draw context |
Functions
- requestMemory ()
- Will remove double buffer of any context
- redrawContext (ctxn)
-
Redraw the given draw context. Using this instead of drawContext allows for many optimisation.
Parameters:
- ctxn int The ID of the draw context
See also:
- drawContext (ctxn)
-
Draw the given draw context.
Parameters:
- ctxn int The ID of the draw context
- gpuWrapper (ctxn)
-
Wrap the given draw context into a GPU driver.
Parameters:
- ctxn int The ID of the draw context
- newContext (x, y, width, height[, braille=0[, parent]])
-
Create a draw context
Parameters:
- x int The X position of the new draw context
- y int The Y position of the new draw context
- width int The width of the new draw context
- height int The height of the new draw context
- braille int The braille pattern of the new draw context (deprecated) (default 0)
- parent int The ID of the parent of the new draw context (optional)
Returns:
-
DrawContext
- isContextOpened (ctxn)
-
Returns whether the draw context is still opened or not
Parameters:
- ctxn int The ID of the draw context
Returns:
-
boolean
- toOwnedBuffer (ctxn)
-
Converts the given draw context to a buffer and closes it.
The context must be backed by a buffer!
Parameters:
- ctxn int The ID of the draw context
- closeContext (ctx)
-
Close the given draw context
Parameters:
- ctx int The ID of the draw context
- getContextBounds (ctx)
-
Returns the bounds of the given draw context
Parameters:
- ctx int The ID of the draw context
Returns:
- int x
- int y
- int width
- int height
- moveContext (ctx, x, y)
-
Move the context to the given position
Parameters:
- ctx int The ID of the draw context
- x int The new X position
- y int The new Y position
- clipContext (ctx, regions)
-
Clip the context to the given regions
Parameters:
- ctx int The ID of the draw context
- regions region[] A list of regions
- setBlockingDraw (ctx, blockDraw)
-
Sets whether or not to block the context's draw, making
drawContext a no-op
Parameters:
- ctx int The ID of the draw context
- blockDraw bool Block draw or not
- canvas (ctxn)
-
Returns a canvas object made associated to the given draw context
Parameters:
- ctxn int The ID of the draw context


Continents
Please select continent and category
Continent
North America
Religion
political
population density
Even More..
3rd level
3rd level
South America
Religion
political
population density
Even More..
3rd level
3rd level
Europe
Religion
Ethnicity
political
population density
Even More..
3rd level
3rd level
Asia
Religion
political
population density
Even More..
3rd level
3rd level
Africa
Religion
political
population density
Even More..
3rd level
3rd level
Australia
Religion
Political
Population density
Even More..
3rd level
3rd level
Antarctica
Religion
Ethnicity
political
population density
Even More..
3rd level
3rd level


All Posts
Tizonia 0.22.0 adds support for iHeartRadio on May 22, 2020 by juanrubio
Tizonia 0.21.0 brings changes to minimize the YouTube API quota issues on March 8, 2020 by juanrubio
TuneIn Internet radio and podcasts, and color-themes in Tizonia 0.20.0 on February 20, 2020 by juanrubio
Global Spotify playlist search and other improvements in Tizonia 0.19.0 on March 19, 2019 by juanrubio
Fixed 'Google Play Music tracks cut short' in Tizonia 0.18.0 on March 17, 2019 by juanrubio
Spotify login issues fixed in Tizonia 0.17.0 on January 17, 2019 by juanrubio
More ways to discover music on Spotify with Tizonia 0.16.0 on December 3, 2018 by juanrubio
Totally revamped Spotify support in Tizonia 0.15.0 on June 15, 2018 by juanrubio
Tizonia v0.14.0 adds YouTube Channels and Google Play Music stations for non-subscribers on April 21, 2018 by juanrubio
Tizonia v0.13.0 adds support for Plex media servers on March 9, 2018 by juanrubio
New release v0.12.0 - Chromecast support! on February 11, 2018 by juanrubio
Snap package and Docker image available now! on December 30, 2017 by juanrubio
New Tizonia release v0.11.0 on December 17, 2017 by juanrubio
New Tizonia release v0.10.0 on October 22, 2017 by juanrubio
New Website! on October 2, 2017 by juanrubio


import random
import torch
[docs]class Sampler:
[docs] def sampleInhomogeneousPP_thinning(self, intensityFun, T, dt=.03):
""" Thining algorithm to sample from an inhomogeneous point process. Algorithm 2 from Yuanda Chen (2016). Thinning algorithms for simulating Point Prcesses.
:param: intensityFun: Intensity function of the point process.
:type: intensityFun: function
:param: T: the returned samples of the point process :math:`\in [0, T]`
:type: T: double
:param: nGrid: number of points in the grid used to search for the maximum of intensityFun.
:type: nGrid: integer
:return: (inhomogeneous, homogeneous): samples of the inhomogeneous and homogenous point process with intensity function intensityFun.
:rtype: tuple containing two lists
"""
n = m = 0
t = [0]
s = [0]
gridEval = intensityFun(torch.linspace(0, T, round(T/dt)))
lambdaMax = gridEval.max()
while s[m]<T:
u = torch.rand()
w = -torch.log(u)/lambdaMax # w~exponential(lambdaMax)
s.append(s[m]+w) # {sm} homogeneous Poisson process
D = random.uniform(0, 1)
if D<=intensityFun(s[m+1])/lambdaMax: # accepting with probability
# intensityF(s[m+1])/lambdaMax
t.append(s[m+1]) # {tn} inhomogeneous Poisson
# process
n += 1
m += 1
if t[n]<=T:
return({"inhomogeneous": t[1:], "homogeneous": s[1:]})
else:
return({"inhomogeneous": t[1:-1], "homogeneous": s[1:-1]})
[docs] def sampleInhomogeneousPP_timeRescaling(self, intensityFun, T, dt=.03):
""" Time rescaling algorithm to sample from an inhomogeneous point
process. Chapter 2 from Uri Eden's Point Process Notes.
:param: intensityFun: intensity function of the point process.
:type: intensityFun: function
:param: T: the returned samples of the point process :math:`\in [0, T]`
:type: T: double
:param: dt: spike-time resolution.
:type: dt: float
:return: samples of the inhomogeneous point process with intensity function intensityFun.
:rtype: list
"""
t = torch.linspace(0, T, round(T/dt))
gridEval = intensityFun(t)
s = [0]
i = 1
while i<(len(t)-1):
u = torch.rand(1)
z = -torch.log(u)/1.0 # z~exponential(1.0)
anInt = 0
j = i+1
while j<len(t) and anInt<=z:
anInt += gridEval[j]*dt
j += 1
if anInt>z:
s.append(t[j-1])
i = j
return s[1:]


Slash Whooo?
Which Slash has the family of owls?!
High Scores
About Us
Options
Number of Shuffles:
5
10
15
20
25
30
Speed:
Slow
Medium
Fast
Start


Members (static) bitcoin :Network Type: Network Source: lib/networks.js, line 28 (static) zeon :Network Type: Network Source: lib/networks.js, line 5


ziggman wrote:i kinda like that idea too. perhaps the more you die the longer the "debt" lasts?
Yea but their should definately be a limit to dept..  I'll say 5, ( I have'nt seen the interface for volucris yet but the XP bar would be yellow and how ever much dept you have would be a red line above the xp bar... OR you can put a dept count somwhere around the xp bar..
You can throw in anything you think could be add or is necessary..


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This email has been sent to you in order to validate your identity.
If you did not initiate the process your credentials might have been compromised. You should reset your password and contact an administrator.
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001 002/* 003 * Copyright (C) 2015 Archie L. Cobbs. All rights reserved. 004 */ 005 006package org.jsimpledb.kv.raft; 007 008/** 009 * {@link RaftKVTransaction} supported consistency levels. 010 */ 011public enum Consistency { 012 013 /** 014 * Uncommitted consistency. 015 * 016 * <p> 017 * Same as {@link #EVENTUAL}, but with the additional caveat that the view that the transaction sees may never 018 * actually get committed. This can happen, e.g., if there is a Raft leadership change during the transaction. 019 * 020 * <p> 021 * Transactions at this level may result in less network communication and/or commit faster than {@link #EVENTUAL}. 022 * Read-only transactions at this level require no network communication, commit immediately, and never result in 023 * {@link org.jsimpledb.kv.RetryTransactionException}s; in fact, read-only transactions are equivalent to invoking 024 * {@link RaftKVTransaction#rollback rollback()} instead of {@link RaftKVTransaction#commit commit()}. 025 */ 026 UNCOMMITTED, 027 028 /** 029 * Eventual consistency. 030 * 031 * <p> 032 * Transactions see a consistent, committed view of the database as it existed at some point in the "recent past". 033 * The view is not guaranteed to be up-to-date; it's only guaranteed to be as up-to-date as what was known to this 034 * node when the transaction was opened. In general (for example, if stuck in a network partition minority), the view 035 * could be from arbitrarily far in the past. 036 * 037 * <p> 038 * Transactions at this level may result in less network communication and/or commit faster than {@link #LINEARIZABLE}. 039 */ 040 EVENTUAL, 041 042 /** 043 * Linearizable consistency. 044 * 045 * <p> 046 * Transactions see a database that evolves step-wise through a global, linear sequence of atomic changes, where it appears as 047 * if each change occurs instantaneously at some point in time between the start and end of the corresponding transaction. 048 * 049 * <p> 050 * This is the default consistency level. 051 */ 052 LINEARIZABLE; 053} 054


- The template costs 1110 points
- Hex 01 has 100 Red lizards and 50 Grey lizards
- Hex 03 has 10 Green lizards
- Hex 05 has 100 Red lizards and 10 Green lizards
- Hex 07 has 100 Red lizards and 50 Yellow lizards
- Hex 10 has 10 Green lizards
- Hex 11 has 100 Red lizards and 50 Grey lizards


{% load rules_of_origin %}
| HS heading | Description of product | How non-originating materials must be worked or processed to get country of origin status |
|---|---|---|
|
{{ rule.code }} |
{{ rule.description|linkify_hs_codes:country_code|annotate_abbreviations|default:"" }} |
{{ rule.rule_text|linkify_hs_codes:country_code|annotate_abbreviations|default:""}} {% if rule.alt_rule_text %} or{{ rule.alt_rule_text|linkify_hs_codes:country_code|annotate_abbreviations|default:"" }} {% endif %} |
|
{{ subrule.description|linkify_hs_codes:country_code|annotate_abbreviations|default:"" }} |
{{ subrule.rule_text|linkify_hs_codes:country_code|annotate_abbreviations|default:"" }} |
{{ note.number }}) {{ note.note }}
{% endfor %} {% endif %} {% if introductory_notes %}The easements on suppliers' declarations ended on 31 December 2021. You are now required to hold a supplier's declaration if you issue a statement of origin for your goods.
{% endif %}HS Nomenclature changes for 2022 have recently been published by the World Customs Organisation (WCO). We are currently updating this service in line with this and earlier WCO changes.
If your product has previously been classified under a different commodity code, you should also consult the rules of origin for that code. Please see the {% if roo_guidance_url %} relevant guidance page {% else %} relevant guidance page {% endif %} for further details, including the version of the HS nomenclature in which the rules of origin for this agreement were set.


Florida State University's new Innovation Hub is the result of a $2.5 million investment by the Provost to deepen FSU's distinctive commitment to continuous innovation. Located at the heart of FSU's campus, the Innovation Hub fills the first floor of the Louis Shores building.
Our Mission: To foster a collaborative community founded on a culture of creativity and innovation that identifies issues, explores opportunities, and develops solutions using design thinking and emerging technologies.
Our Vision: Students from all disciplines working together to combine their unique expertise and perspectives under the guidance of experienced mentors to create novel and effective solutions to the vexing, complex, and wicked problems of our day.
Our Values: We strongly believe that the healthiest, happiest, and most productive organizations embrace four essential values:
Our Scope:Our primary focus is on undergraduate students from all backgrounds and majors, while serving as a resource for the entire FSU community, with outreach to K-12 students, strong connections to the Tallahassee/Leon County innovation ecosystem, and partnerships with businesses and corporations.
Design Thinking is the core innovation framework used @ The Hub. Design Thinking, sometimes referred to as Human Centered Design, is an innovation framework rooted in empathy, strongly dependant on the benefits of diverse perspectives, with specially designed methods and tools for investigation, ideation, prototyping, and testing.
The hallmarks of Design Thinking are:
We offer an introductory course in Design Thinking open to all students - ENT3607, Innovation by Design. In this class groups of students take on major challenges using Design Thinking methods to develop ideal solutions. We also offer workshops, meetups and design sprints to bring together designers from across disciplines.
Design and prototype your 3D inventions in physical and virtual space.
Our Design Lab has high-powered graphics workstations for 3D design, and a materials library for low-fidelity prototyping.
Our Digital Fablab has equipment for bringing your inventions to life. Our 3D printer farm harnesses the power of 30 networked 3D printers supporting a wide variety of materials and dimensions. We also have 3D scanners, laser cutters, Arduino boards, Raspberry Pi boards, Little bits, and a soldering station with a wide assortment of electronic components to create your next electronic creation.
Our VR lab provides limitless opportunities for students to reimagine the world in virtual and augmented reality. With three Oculus Rifts, three HTC Vives, Mixed Reality headsets and a Microsoft Hololense AR headset, students can explore the most popular VR and AR platforms. Workshops and meetups bring a wide community of VR enthusiasts together to share knowledge and ideas.
The Innovation Hub provides abundant opportunities for students to gain new skills and knowledge outside of class; skills and knowledge that employers are looking for! Gain an edge in the job market by attending workshops, trainings, competitions and hangouts around topics like
Innovation Hub partners support The Hub with critical resources and provide educational opportunities for our students. Partners serve on The Hub Steering Committee to help guide our direction. We couldn't exist without our partners.
Our Founding Partners have made significant contributions towards the Hub's creation, maintenance, and operations.
Our Support Partners collaborate with the Innovation Hub in providing services to students through the Hub.
Director
Email<EMAIL_ADDRESS>Phone:<PHONE_NUMBER>
Office: 123 Shores Innovation Hub
Director
Assistant Director - Operations
Email<EMAIL_ADDRESS>Phone:<PHONE_NUMBER>
Office: 121 Shores Innovation Hub
Assistant Director - Operations
Fablab Supervisor
Email<EMAIL_ADDRESS>Phone:<PHONE_NUMBER>
Office: 122 Shores Innovation Hub
Fablab Supervisor
Assistant Director - Design and New Technologies
Email<EMAIL_ADDRESS>Phone:<PHONE_NUMBER>
Office: 131 Shores Innovation Hub
Assistant Director - Design and New Technologies
Graduate Student Assistant
Email<EMAIL_ADDRESS>Graduate Student Assistant
Graduate Student Assistant
Email<EMAIL_ADDRESS>Graduate Student Assistant
Graduate Student Assistant
Email<EMAIL_ADDRESS>Graduate Student Assistant
Undergrad Intern
Computer Science
Specialty: Coding, 3D Design
Undergrad Intern
Computer Science
High School Intern
Specialty: Coding
High School Intern
Undergrad Intern
Marketing, Social Entrepreneurship
Specialty: Graphics, Web, Marketing, Writing
Undergrad Intern
Marketing, Social Entrepreneurship
Undergrad Intern
Marketing, Social Entrepreneurship
Specialty: Unmanned Aerial Vehicles, Digital Media
Undergrad Intern
Marketing, Social Entrepreneurship
Undergrad Intern
Information Technology
Specialty: Coding, VR
Undergrad Intern
Information Technology
Undergrad Intern
Information Technology
Specialty: VR, 3D Design
Undergrad Intern
Information Technology
Undergrad Intern
Editing Writing and Media, Political Science
Specialty: Writing, Marketing
Undergrad Intern
Editing Writing and Media, Political Science
Undergrad Intern
Mechanical Engineering
Specialty: 3D Design and Fabrication
Undergrad Intern
Mechanical Engineering
Undergrad Intern
Entrepreneurship
Specialty:
Undergrad Intern
Entrepreneurship
Undergrad Intern
Computational Science
Specialty: Coding, You name it
Undergrad Intern
Computational Science
Undergrad Intern
Environmental Engineering
Specialty:
Undergrad Intern
Environmental Engineering
Undergrad Intern
Interior Architecture and Design
Specialty: Marketing, 3D Design
Undergrad Intern
Interior Architecture and Design
Undergrad Intern
Information Communication and Technology
Specialty: Web, Marketing
Undergrad Intern
Information Communication and Technology
Undergrad Intern
Management Information Systems
Specialty: Graphics, Fablab, 3D
Undergrad Intern
Management Information Systems
Undergrad Intern
Industrial Engineering
Specialty: Marketing, Fablab, Circuits
Undergrad Intern
Industrial Engineering
Undergrad Intern
Industrial Engineering
Specialty:
Undergrad Intern
Industrial Engineering
Undergrad Intern
Computer Science
Specialty: Coding, IT
Undergrad Intern
Computer Science
Undergrad Intern
Electrical Engineering
Specialty: Circuits, Coding
Undergrad Intern
Electrical Engineering
Undergrad Intern
Studio Art
Specialty: 3D Design and Fabrication
Undergrad Intern
Studio Art
Undergrad Intern
Industrial Engineering
Specialty: 3D Design and Fabrication
Undergrad Intern
Industrial Engineering


Data Aggregation with the "extending-class" Attribute
年
月
Top 10 Sales Products
Total
Top 10 Customers
Total
Top 10 Prices in One Order
Total


Back To Top
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Marvel | DC
Star Wars
City
City
One brick at a time
Business as Usual
Lunch Break
Bricks on Bricks
Break to Make
Mon(k)ey Business
Late Nights


Objective
In this quickstart, as a cluster admin, you will learn how to create workspaces, roles and user accounts, and then invite new users into the workspace to create their projects and DevOps projects. This tutorial is used to help beginners to become familiar with multi-tenant management.
Prerequisites
- You need to install KubeSphere.
- You need a default admin account.
Hands-on Lab
Generally, the hierarchy relationship of Cluster, Workspace, Project and DevOps Project showing as the following graph, and there are common built-in roles existed in these orgnizations within each level.
Cluster Admin
The role of cluster-admin is able to create accounts for other users and assign roles to them. There are three common roles in cluster level, it also supports customizing new roles.
| Built-in Roles | Responsibility |
|---|---|
| cluster-admin | Have the highest privileges for the cluster, can manage any resources |
| workspaces-manager | The workspace managers, can manage all of the resources, e.g. projects, DevOps projects, members and roles |
| cluster-regular | The regular users in the cluster, they are not authorized until they have been invited to the workspace |
Step 1: Create roles and accounts
First, we will create a new role (user-manager), grants account management and role management authority to this role, then we will create an account and grant the user-manager role to this account.
| Account Name | Cluster Role | Responsibility |
|---|---|---|
| user-manager | user-manager | Manage cluster accounts and roles |
1.1 To get started, login KubeSphere with the admin
account, click Platform and then navigate to Platform Roles page, click Create to create a role which is used to manage all accounts and roles.
1.2. Fill in the basic information and authority settings of the role, e.g. Name : user-manager
.
1.3. Check all the boxes for both Account Management and Role Management, then click Create.
1.4. Click Platform, then navigate to Accounts page and click Create to create an account.
1.5. Fill in the basic information, notice that select user-manger
as its role.
1.6. Log out and Sign in with the user-manager
account, then navigate to Account and create 4 accounts according to the following table. Please reference the above steps to create these 4 accounts.
| Account Name | Cluster Role | Responsibility |
|---|---|---|
| ws-manager | workspaces-manager | Create and manage all workspaces |
| ws-admin | cluster-regular | Manage all resources under the specified workspace (This example is used to invite new members to join the workspace.) |
| project-admin | cluster-regular | Create and manage projects, DevOps projects, invite new members |
| project-regular | cluster-regular | The regular user will be invited to the project and DevOps project by the project-admin, we use this account to create workloads, pipelines and other resources under the specified project |
1.7. Verify the 4 accounts that we created in step 1.6.
Workspace Admin
Step 2: Create a Workspace
Workspace is the base of implementing the multi-tenant mechanism, it’s also the base unit for projects and DevOps projects managment.
2.1. Sign in with ws-manager
that we created in Step 1, then click Workspace and click Create Workspace, name it as demo-workspace and appoint ws-admin
as Workspace Manager, who has the highest administrative authority of the workspace.
2.2. Logout and sign in with ws-admin
after demo-workspace
has been created. Then click View Workspace, select Worksapce Management → Members Management and click Invite Member.
2.3. Invite both project-admin
and project-regular
and grant them workspace-regular
accordingly, click OK to save it. Now there are 3 members in the demo-workspace
.
| User Name | Role in the Workspace | Responsibility |
|---|---|---|
| ws-admin | workspace-admin | Manage all resources under the workspace (We use this account to invite new members into the workspace) |
| project-admin | workspace-regular | Create and manage projects, DevOps projects, and invite new members to join |
| project-regular | workspace-viewer | Will be invited by project-admin to join the project and DevOps project. we use this account to create workloads, pipelines, etc |
Project Admin and DevOps Admin
Step 3: Create a Project
3.1. Sign in with project-admin
that we created in Step 1, then click Create and select Create a resource project.
3.2. Name it as demo-project
and keep the advanced settings as the default values, then click Create.
3.3. Choosing Project Settings → Project Members and click Invite Member.
3.4. Invite project-regular
to this project and grant this user operator accordingly.
Step 4: Set the Gateway
Before creating a route, you need to enable a gateway for this project.
4.1. We still use project-admin
, Choose Project Settings → Internet Access and click Set Gateway.
4.2. Keep the access method as NodePort
and click Save
.
4.3. Now we are able to see the Gateway Address (<IP_ADDRESS>), the NodePort of http and https respectively.
Step 5: Create DevOps Project
5.1. In this step, click Projects and click Create Project
button, then select Create a DevOps project.
5.2. Fill in the basic information, e.g. demo-devops
, then click Create button, it will jump to demo-devops
page.
5.3. Similarly, navigate to Project Management → Project Members, then click Invite Member and grant project-regular
as the role of maintainer
, which is used to create pipeline, credentials, etc.


1.
B
uild a world full of obstacles
2.
S
tart recording your car actions
3.
L
et the car learn these actions
4.
T
urn the autopilot on and watch it
S
elf-driving Car Training Ground
Get me behind the wheel!
Model file (<Your Car>.json)
Weights file (<Your Car>.weights.bin)
(optional) Trainig data file (<Your Car>.training-data.json)


Home Control HQ
Loading rooms...
Select a room first.
Select a device first.
command-name
Command description.
Issue
Close


Second Language Acquisition in the Central Valley
Identify ways in which one can acquire a second language in the Central Valley
Skills
- Ideating
- Working in teams
Research Task
Highlight and list skills
- Data analysis and text analysis
Create a visual graphic
- Drawing
- Digital Drawing
- Infographic
- Slide Show Story
Skills
- Thinking visually
- Story Telling
Interview and Survey
Practice and implementation of survey methods
Skills
Identifying gaps, problems, or tendencies
Skills
Final Product-Written Proposal and Presentation
Skills
- Writing
- Providing feedback
- Working in teams
- Pitching
- Reflecting