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Overwrites the values from the master object into the target object from the "from" object. If key value exists in the from but not in the target, then it will not be added. If this is what you want, use the merge tool instead.


t02 mode detector
Existing models
Create model
Fields:
Methods:
0
Train tracks:
Validate tracks (can be empty):


--- layout: page title: About header-img: "img/about-bg.png" ---
I live in Anaheim, CA. I'm currently studying alongside my best friend Tyler Jones in the same cohort.


After you've created your client and server programs with their interfaces bound to each other, this is how you create the app.
Create an app definition file called helloWorld.adef
like this:
$ gedit helloWorld.adef
executables: { myServer = ( greetServer ) myClient = ( greetClient ) } processes: { run: { (myServer) (myClient) } } bindings: { myClient.greetClient.hello -> myServer.greetServer.hello }
This defines two executable programs called myServer
(containing the greetServer component) and myClient
(containing the greetClient component).
It then starts one instance of myServer
and one instance of myClient
, and binds myClient.greetClient.hello
to myServer.greetServer.hello
.
Then run mkapp
to build everything and package it up into an app.
$ mkapp helloWorld.adef -t wp85
You'll now have a file called "helloWorld.wp85" that contains your app.
You can install and run it using instapp, see Install App to Target for details.
Copyright (C) Sierra Wireless Inc. Use of this work is subject to license.


Google Maps Is Testing A New Social Networking Feature
by Geoff DesreumauxGoogle Maps is testing a new feature that allows users to find and follow other users, more specifically looking to connect users to top “Local Guides.”
If you ask experts what makes a platform “social,” most will answer that it is the ability to connect with and/or follow other users.
Google Maps is set to take its biggest ever step towards being more of a social networking platform, as it begins testing a new feature that allows users to follow top “Local Guides” – its community members who actively review businesses, post photos and share detailled information on Google Maps.
As part of the test, users in select markets are now able to follow their Local Guides by clicking on a new “follow” button that appears on their profiles. Once you follow someone, their recommendations and updates will be shown for you when using Google Maps, as part of a new “For You” section.
The test is live in selected market/cities across the world: Bangkok, Delhi, London, Mexico City, New York, Osaka, San Francisco, São Paulo, and Tokyo.


About Me
Who Am I?
About Me
I am a fourth-year student at UC San Diego finishing my B.S. Computer Science, with a focus on Big Data systems. This field includes everything from databases, cloud systems, networking, parallelism, machine learning and more, and I've gained experience with these subjects both here at UCSD and from internships. So far, I've worked at the Statistical Visual Computing Lab at UCSD creating data visualization tools; at Knowt, where I developed text analysis algorithms; and at Qualcomm, where I built data pipelines for machine learning. After graduating, I hope to continue working at Qualcomm and developing my skills as a data engineer.
Read MoreWhere I'm From
About Me
I'm currently living in Phelan California, a small town in the mountains northeast of Los Angeles. Surrounded by Joshua trees and bumpy dirt roads, I live here with my family while studying remotely during the COVID-19 pandemic. I am originally from Paso Robles, in the wine country of California's central coast, and I lived in Tennessee for several years prior to starting at UCSD.
Read MorePersonal Life
About Me
Before the pandemic I also taught swimming, drove for Uber and Lyft, and tutored fellow computer science students. I enjoy theater and I can't wait to return to the theater scene at UCSD and La Jolla. In the meantime, I enjoy hiking, running and camping where I currently live near the mountains. I am part of Alpha Lambda Mu, the first and only Muslim-interest fraternity in the United States, and I'm grateful for my fellow brothers and the connections I've made here in San Diego.
Read More


HEAD
Personal information.
Summary information.
Physical information.
Contact information.
Languages information.


Siyelo is a web development consultancy based in South Africa and Macedonia. We create bespoke web and mobile apps. Interested in working with us? Contact us anytime.


class Phoenix::Channel
- Phoenix::Channel
- Reference
- Object
Defined in:
phoenix/channel.crConstant Summary
-
EVENTS =
{close: "phx_close", error: "phx_error", join: "phx_join", reply: "phx_reply", leave: "phx_leave"}
-
LIFECYCLE_EVENTS =
[EVENTS[:close], EVENTS[:error], EVENTS[:join], EVENTS[:reply], EVENTS[:leave]]
Instance Method Summary
-
#join(timeout : UInt32 = @timeout) : Push
Join the channel
-
#leave(timeout = @timeout) : Push
Leaves the channel
-
#off(event : String, ref : UInt32? = nil)
Unsubscibes to channel events
-
#on(event : String, &block : JSON::Any, String?, String? -> ) : UInt32
Subscribes to channel events
-
#on_close(&block : -> ) : UInt32
Hook into channel close
-
#on_error(&block : JSON::Any, String?, String? -> ) : UInt32
Hook into channel errors
-
#on_message(&on_message : String?, JSON::Any, String? -> JSON::Any)
Overridable message hook
-
#push(event : String, payload : JSON::Any = {} of String => JSON::Any, timeout : UInt32 = @timeout) : Push
Send a message down the channel
Instance Method Detail
Join the channel
Returns a Push
instance for binding to reply events with Push#receive
.
channel.join
.receive "ok" do |response|
puts "Joined successfully: #{response}"
end
.receive "error" do |response|
puts "Unable to join: #{response}"
end
Leaves the channel
Unsubscribes from server events, and instructs channel to terminate on server.
channel.leave.receive "ok" do
puts "Left successfully"
end
Subscribes to channel events
Subscription returns a ref counter, which can be used later to unsubscribe the exact event listener.
ref_1 = channel.on "event" do
# do stuff
end
ref_2 = channel.on "event" do
# do other stuff
end
channel.off("event", ref_1)
Due to unsubscription, "do stuff" won't run, while "do other stuff" will still run on the "event".
Overridable message hook
Receives all events for specialized message handling before dispatching to the channel callbacks. Must return the payload, modified or unmodified.
channel.on_message do |event, payload, ref|
# handle payload here
handled_payload
end


Test which is a new approach to have all solutions
11:01 AM | June 9Test which is a new approach to have all solutions
11:01 AM | June 9Test, which is a new approach to have
11:01 AM | YesterdayApollo University, Delhi, India Test
11:01 AM | TodayWe work directly with our designers and suppliers, and sell direct to you, which means quality, exclusive products, at a price anyone can afford.
11:01 AM | TodayTest which is a new approach to have all solutions
11:01 AM | June 9Test which is a new approach to have all solutions
11:01 AM | June 9Test, which is a new approach to have
11:01 AM | YesterdayApollo University, Delhi, India Test
11:01 AM | TodayWe work directly with our designers and suppliers, and sell direct to you, which means quality, exclusive products, at a price anyone can afford.
11:01 AM | Today


1 write to _throttleManager
System.Management.Automation (1)
engine\remoting\client\Job.cs (1)
4198
_throttleManager
= throttleManager;
5 references to _throttleManager
System.Management.Automation (5)
engine\remoting\client\Job.cs (5)
4199
RegisterThrottleComplete(
_throttleManager
);
4264
UnregisterThrottleComplete(
_throttleManager
);
4370
_throttleManager
.StopAllOperations();
4457
_throttleManager
.SubmitOperations(operations);
4458
_throttleManager
.EndSubmitOperations();


Democrats Descend on Nevada and Eye It as a Bellwether
by MATTHEW RENDA(CN) – If Harry Reid is correct, the glitzy frivolity of the Las Vegas Strip belies Nevada’s role as a critical early predictor of who will secure the Democratic nomination.
“We are the first state in the West and the first state that is representative of the rest of this country,” Reid told a gaggle of reporters before the First in the West Event at a casino on the Las Vegas Strip.
The event featured the full slate of Democratic candidates vying to find the footing necessary to make a quality showing in the early phase of the Democratic primary.
Iowa holds its caucus on February 3, marking the beginning of the primary season. New Hampshire follows close behind on February 11 and then Nevada on the 22nd.
“Iowa is not representative of our country,” Reid said when discussing the importance of Nevada. “It is 90 percent white and New Hampshire is less diverse. Nevada is a diverse state.”
Nearly a quarter of the Silver State is Latino and the demographic is growing. It’s 10% Asian American and 10% Black and increasingly urban.
Reid and other Nevada officials are keen to make the case that it will be Nevada, not the earlier two states that will decide how the primary ultimate breaks, and for whom.
The candidates appear to have gotten the message, with all 14 candidates, including the front-runners, campaigned actively in and around Nevada throughout the weekend culminating in Sunday’s event.
Joe Biden is leading the polls in Nevada at this preliminary stage by a sizeable margin (10 percentage points).
Biden’s electability has always been central to his pitch and Sunday night was no different.
“We have to be very careful about who we nominate,” Biden said. “We can’t run the risk of nominating somebody who cannot beat Trump.”
It was a shopworn spiel from Biden and the other presidential candidates who took the stage immediately following the former vice-president walked the well-worn path of their stump speeches.
Senator Bernie Sanders, second in Nevada according to the latest CBS News/Yougov poll, gave his familiar speech regarding immigration, healthcare, criminal justice reform and taxes.
“Many in the billionaire class are getting very nervous, very emotional,” he said, alluding to recent reports in the press of various wealthy individuals decrying the liberal tax policies proposed by Sanders and Senator Elizabeth Warren.
Warren is in a dead heat with Sanders for second in the poll.
Warren notably shied away from touting Medicare for All, as some have pointed to her recent slide in national polls as evidence of the electorate’s unwillingness to embrace a transformative healthcare policy that could require a significant tax hike.
Instead, Warren focused on her message of economic justice, talking up a wealth tax and the need for healthier unions.
“Unions built America’s middle class and they will help rebuild the middle class,” Warren said.
Pete Buttigieg, who has surged in Iowa lately, took time in his speech to carve out differences between his ideas and the more progressive wing of the party.
“I stand ready to deliver Medicare for all those who want it,” he said, saying those with private plans they prefer would be allowed to keep them under his plan.
Buttigieg is poised to take over as the moderate candidate should Biden flounder and many pundits point to the possibility that the mayor of South Bend could make a run all his own.
But to return to Reid’s idea, Iowa, in particular, and New Hampshire too, have the potential to function as outliers rather than reliable indicators.
Their large white populations, low voter turnout, lack of urban populations and distinctive narrow corporate interests create conditions that could give candidates early leads who may not retain them once the urban centers that represent the Democratic strongholds weigh in.
“I get asked more about ethanol than any kind of transit,” said Julian Castro, one of the candidates who talked to reporters after delivering remarks.

Iowa is also Midwestern, a place where Senator Amy Klobuchar hopes to excel, as she spent part of her speech in Las Vegas burnishing her Midwestern credentials.
For Democrats, Iowa could provide a roadmap for retaking Wisconsin, Michigan, Pennsylvania, retaining Minnesota and even dreaming of getting back Ohio. New Hampshire is a battleground state with the kind of rural individuals who once voted for Obama and then voted for Trump.
It’s not that there is nothing to be gleaned.
But if Democrats believe they can take Arizona and if they nurture ambitions for Texas, Nevada will be the key.
If Nevada is an early indication, Biden can take solace and Buttigieg has a lot of work to do. He has 9% of the Silver State public, according to the latest poll.
But Reid says polls are fickle and unreliable at this stage.
“Right now, it’s very fluid regarding who is going to be our nominee,” the former senator said. “People are always going to be looking for why somebody is doing better or worse in a given week.”
Reid said he is confident the Democrats have a robust and diverse slate of Democratic candidates, but not everyone is so sure.
Newly minted candidate Deval Patrick made an appearance at the event, meeting with reporters before the event.
Some cast his late entrance as general unease within the party about the viability of the current slate of candidates, but Patrick said his decision to enter was about what he could bring to bear.
“It’s not a frustration with the field today it’s about what I think I can offer,” he said. “I have worked and solved problems in the public sector, the private sector and in the nonprofit world.”
Copyright © 2019 courthousenews.com


class Solution: def minCharacters(self, a: str, b: str) -> int: counter_a = [0] * 26 counter_b = [0] * 26 for c in a: counter_a[ord(c) - ord('a')] += 1 for c in b: counter_b[ord(c) - ord('a')] += 1 # plan 3 ans = min(len(a) + len(b) - counter_a[i] - counter_b[i] for i in range(26)) # plan 1, 2 for i in range(25): ans = min(ans, sum(counter_a[i+1:]) + sum(counter_b[:i+1])) ans = min(ans, sum(counter_b[i+1:]) + sum(counter_a[:i+1])) return ans


Enter two handles of the users to compare their codechef ratings.
**Fetching data may take some time, so please be patient
**Insert new queries after previous result is fetched.
Fetching Data...!


In this project, we're going to learn how to animate your own name! Buckle up and lets learn some scratch!!!! The girl's name we are using at this example is "Olivia"
If your name don't have 7 characters, choose any of your favorite characters.
1) Color Clicker
2) Make spin
3) Play a sound
4) Dancing letter
5) Change size
6) Press a key
7) Glide around
8) Share your project with others, favor and comment on each others projects. (the purpose of this step is to show the social aspects of Scratch, and at same time prepare them to get enabled to become Scratcher so they can start using features like cloud variables)


mypv123 : the pv called "mypv123" mypv+123 : the pv called "mypv+123" 123 : the pv called "123"Pvs can also be expressed in single quotes:
'mypv123' : the pv called "mypv123" 'mypv+123' : the pv called "mypv+123" '123' : the pv called "123"
Pvs in expressions must be single quoted:
='mypv123' : the pv called "mypv123" ='mypv+123' : the pv called "mypv+123" ='123' : the pv called "123"Escaped text is supported within the single quotes with the same definitions as in Java. For example \n for new line, \" for double quotes, \' for single quotes and so on.
Expressions can contain numeric and string constants. Their definition matches Java.
="Some text" : a constant string =123 : the constant integer 123 =3.14 : the constant double 3.14 =1e5 : the constant double 100,000 in exponential notation
Expressions can be combined with operators and functions.
=1000 * 'mypv' + 300 : the value from a pv called "mypv" multiplied by 1,000 and summed to 300 =log('mypv') : the logarithm of the pv called "mypv" =arrayOf(1,2,3,4,5) : an array containing the first 5 integers


---
layout: null
section-type: coaching
title: Coaching
---
## Coaching
I'm a coach and trainer at [Industrial Logic](https://industriallogic.com). If your software development organization is struggling with quality issues and unable to continuously deliver working software, I can help.
My focus is on structuring software development teams for fast flow and identifying light-weight processes and technical practices that can help improve delivery while focusing on technical quality.
I embed with software development teams to teach and model continuous process improvements and technical practices that result in the continuous improvement of code quality.
If you are interested in learning more reach out to me [here](/#contact) or on the Industrial Logic [website](https://www.industriallogic.com/people/anthony/).


Passionate, dedicated Student of Computer Science with great amount of self-projects for desktop and mobile products. Comprehensive knowledge of mobile and web-based applications.
When I run out of work to do or am currently free, I tend to explore the new technologies that are released. One reason being is I would like to keep my skills current but I also find joy in exploring new potential knowledge that can be applied in my next work
An education platform which was built with the aim of providing a platform for students to learn and share knowledge.


#include <StartResumeReliablePdu.h>
Public Member Functions | |
| StartResumeReliablePdu () | |
| virtual | ~StartResumeReliablePdu () |
| virtual void | marshal (DataStream &dataStream) const |
| virtual void | unmarshal (DataStream &dataStream) |
| ClockTime & | getRealWorldTime () |
| const ClockTime & | getRealWorldTime () const |
| void | setRealWorldTime (const ClockTime &pX) |
| ClockTime & | getSimulationTime () |
| const ClockTime & | getSimulationTime () const |
| void | setSimulationTime (const ClockTime &pX) |
| unsigned char | getRequiredReliabilityService () const |
| void | setRequiredReliabilityService (unsigned char pX) |
| unsigned short | getPad1 () const |
| void | setPad1 (unsigned short pX) |
| unsigned char | getPad2 () const |
| void | setPad2 (unsigned char pX) |
| unsigned int | getRequestID () const |
| void | setRequestID (unsigned int pX) |
| virtual int | getMarshalledSize () const |
| bool | operator== (const StartResumeReliablePdu &rhs) const |
Protected Attributes | |
| ClockTime | _realWorldTime |
| ClockTime | _simulationTime |
| unsigned char | _requiredReliabilityService |
| unsigned short | _pad1 |
| unsigned char | _pad2 |
| unsigned int | _requestID |
Copyright (c) 2007-2009, MOVES Institute, Naval Postgraduate School. All rights reserved.
| StartResumeReliablePdu::StartResumeReliablePdu | ( | ) |
| StartResumeReliablePdu::~StartResumeReliablePdu | ( | ) | [virtual] |
| int StartResumeReliablePdu::getMarshalledSize | ( | ) | const [virtual] |
Reimplemented from DIS::SimulationManagementWithReliabilityFamilyPdu.
| unsigned short StartResumeReliablePdu::getPad1 | ( | ) | const |
| unsigned char StartResumeReliablePdu::getPad2 | ( | ) | const |
| const ClockTime & StartResumeReliablePdu::getRealWorldTime | ( | ) | const |
| ClockTime & StartResumeReliablePdu::getRealWorldTime | ( | ) |
| unsigned int StartResumeReliablePdu::getRequestID | ( | ) | const |
| unsigned char StartResumeReliablePdu::getRequiredReliabilityService | ( | ) | const |
| const ClockTime & StartResumeReliablePdu::getSimulationTime | ( | ) | const |
| ClockTime & StartResumeReliablePdu::getSimulationTime | ( | ) |
| void StartResumeReliablePdu::marshal | ( | DataStream & | dataStream | ) | const [virtual] |
Reimplemented from DIS::SimulationManagementWithReliabilityFamilyPdu.
| bool StartResumeReliablePdu::operator== | ( | const StartResumeReliablePdu & | rhs | ) | const |
| void StartResumeReliablePdu::setPad1 | ( | unsigned short | pX | ) |
| void StartResumeReliablePdu::setPad2 | ( | unsigned char | pX | ) |
| void StartResumeReliablePdu::setRealWorldTime | ( | const ClockTime & | pX | ) |
| void StartResumeReliablePdu::setRequestID | ( | unsigned int | pX | ) |
| void StartResumeReliablePdu::setRequiredReliabilityService | ( | unsigned char | pX | ) |
| void StartResumeReliablePdu::setSimulationTime | ( | const ClockTime & | pX | ) |
| void StartResumeReliablePdu::unmarshal | ( | DataStream & | dataStream | ) | [virtual] |
Reimplemented from DIS::SimulationManagementWithReliabilityFamilyPdu.
unsigned short DIS::StartResumeReliablePdu::_pad1 [protected] |
padding
unsigned char DIS::StartResumeReliablePdu::_pad2 [protected] |
padding
ClockTime DIS::StartResumeReliablePdu::_realWorldTime [protected] |
time in real world for this operation to happen
unsigned int DIS::StartResumeReliablePdu::_requestID [protected] |
Request ID
unsigned char DIS::StartResumeReliablePdu::_requiredReliabilityService [protected] |
level of reliability service used for this transaction
time in simulation for the simulation to resume


--- layout: post status: publish published: true title: There's No Such Thing as a (Cubs) Pitching Prospect author: display_name: Sean Clement login: Sean email<EMAIL_ADDRESS>url: '' author_login: Sean author_email<EMAIL_ADDRESS>wordpress_id: 9669 wordpress_url: http://ivyenvy.com/?p=9669 date: '2014-04-11 07:52:18 +0000' date_gmt: '2014-04-11 12:52:18 +0000' categories: - Relief Pitching - Starting Pitching - Prospects tags: - Jeff Samardzija - Mark Prior - Eric Jokisch - Pierce Johnson - Paul Blackburn - Arodys Vizcaino - Dontrelle Willis - Armando Rivero - CJ Edwards - Kris Bryant - Zac Rosscup - Neil Ramirez - Jen-Ho Tseng - Jonathan Gray - Carlos Rodon - Tyler Kolek - Tyler Beede - Jeff Hoffman - Erik Fedde - Duane Underwood - Trevor Clifton - Dillon Maples - Corey Black - Rob Zastryzny - Tyler Skulina - Trey Masek - Kyle Hendricks - Juan Paniagua - Ivan Pineyro - Greyfer Eregua - TNTAAPP comments: [] ---
In a game inundated with acronyms, TNSTAAPP is among the most peculiar. For starters, there most certainly is such a thing as a pitching prospect; I’ve even written about a few here. The meaning of TNSTAAPP is less a literal translation and much more an admission that the success of a pitcher is hard to predict- even for the savviest of scouts.
Pitching prospects are tough to forecast for more reasons than I can possibly document but chief among them:
a) Pitchers get hurt. They get hurt a lot. Throwing a baseball is an unnatural act so repeating that activity thousands of times, year after year, isn’t exactly a recipe for longevity.
b) Success at the low levels is not a harbinger of success at major league level. As you'll see below, even success at the major league level doesn’t always foretell future success in the bigs.
c) As with position prospects, you’re dealing with 17-20 year olds who haven’t fully matured physically or mentally. Inconsistency is par for the course.
d) You lose good men to trades and unruly fans.
The best way I know how to put the TNSTAAPP theory to the test is to apply it to our beloved Cubs.
Mark Prior: The definition of a can’t-miss pitching prospect, Prior had all the goods. He had stuff and polish, intangibles to boot. Why then, at 33, is Prior a member of the Padres front office and 8 years removed from an MLB mound? Because elbow and shoulder injuries are part of TNSTAAPP.
Hayden Simpson: A first round pick in 2010, Simpson was a victim of pre-mature criticism* mixed with lofty expectations. When a brutal case on mono cost him 20+ pounds off of his body and upwards of 10 miles per hour off of his fastball, the righty never fully recovered and was eventually released by the Cubs in 2013. Simpson never made it beyond High-A Daytona, only seeing ‘Double-A’ in his TNSTAAPP nightmares.
*At no fault of his own. Simpson was considered by many a ‘reach’ when drafted as early as he was. Seeing the likes of Aaron Sanchez, Taijuan Walker and Noah Syndergaard taken after him still pains me.
Dontrelle Willis: The D-Train is a cruel case of TNSTAAPP in that it looked as though he had beaten the odds, albeit with a different team. Willis was an 8th round pick of the Cubs but was wearing a Marlins jersey when he took home the 2003 NL Rookie of the Year Award. He was named the best left-handed pitcher in baseball in 2005, finishing 2nd in that year’s Cy Young race. By 2007, he was posting a 5.17 ERA and it would only get worse from there. Willis proves that even when you think a pitching prospect has made it, long-term consistency at the position is an extremely rare feat.
Jeff Samardzija: Shark is definitely a case of TNSTAAPP, but in a style completely incongruous with our previous examples. Jeff was more football prospect than baseball before the Cubs paid him big money to try his hand every fifth day instead of every Sunday. Samardzija struggled to the point where he was written off as a failure even in a bullpen roll yet has emerged as Opening Day Starter material, tallying the 4th highest strikeout total (214) in the National League.
Now that we’ve paid proper tribute to the work of the TNSTAAPP gods, it’s worth taking a look at how the Cubs front office is trying to overcome the problem. Quantity is definitely part of the equation for all organizations but what stands out to me about the Cubs arsenal of arms is a seemingly intentional emphasis on balanced variety in an effort to combat the inevitable variance.
Here’s a look at the next crop of contenders to combat the TNSTAAPP conundrum for the Cubbies, categorized.
International Wild Cards: Jen-Ho Tseng, Juan Paniagua, Ivan Pineyro, Greyfer Eregua
High Probability Guys: Kyle Hendricks, Eric Jokisch, Neil Ramirez, Pierce Johnson
College Arms: Rob Zastryzny, Tyler Skulina, Trey Masek
Impact Relievers: Arodys Vizcaino, Zac Rosscup, Armando Rivero
Huge Upside, Starter or Reliever: CJ Edwards, Corey Black
Lottery Tickets: Duane Underwood, Paul Blackburn, Trevor Clifton, Dillon Maples
Overlap and confirmation bias caveats apply here as I was the one who chose these categories and decided which players fit into each. That said, it seems that the Cubs have been very intentional about pairing diversification of arms with balance as they’ve built up the farm.
The only thing missing from the mix is the elusive Top of the Rotation starter. The Cubs passed on one such arm in 2013, but no one should be complaining about the addition of Kris Bryant instead of Jonathan Gray at this point. Not when Carlos Rodon, Tyler Kolek, Tyler Beede, Jeff Hoffman and Erik Fedde will all be available in the 2014 draft and carry #1 starter potential. Fortunately, the Cubs have the number 4 overall pick in June and seem poised to snag an ace in the making.
Unfortunately, There’s no such thing as a (Cubs) pitching prospect.


Salary Calcualtor
Add Employee
Submit
Employees
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Total Monthly Cost:


Calm(er)
Practice common breathing techniques to reduce stress and induce calm.
Breathing Technique
...
Start
...


§241-4.8 High technology business investment tax credit. The high technology business investment tax credit provided under section 235-110.9 shall be operative for this chapter on July 1, 1999. [L 1999, c 178, §26; am L 2009, c 178, §6; am L 2017, c 3, §2]
Note
Effect of L 2017, c 3 on tax credits. L 2017, c 3, §8.


Class: Concurrent::Actor::Envelope
- Inherits:
-
Object
- Object
- Concurrent::Actor::Envelope
- Includes:
- TypeCheck
- Defined in:
- lib/concurrent/actor/envelope.rb
Instance Attribute Summary (collapse)
- - (undocumented) address readonly
-
- (Edge::Future) future
readonly
A future which becomes resolved after message is processed.
-
- (Object) message
readonly
A message.
-
- (Reference, Thread) sender
readonly
An actor or thread sending the message.
Instance Method Summary (collapse)
- - (undocumented) address_path
- - (undocumented) Child!(value, *types) included from TypeCheck
- - (Boolean) Child?(value, *types) included from TypeCheck
-
- (Envelope) initialize(message, future, sender, address)
constructor
A new instance of Envelope.
- - (undocumented) Match!(value, *types) included from TypeCheck
- - (Boolean) Match?(value, *types) included from TypeCheck
- - (undocumented) reject!(error)
- - (undocumented) sender_path
- - (undocumented) Type!(value, *types) included from TypeCheck
- - (Boolean) Type?(value, *types) included from TypeCheck
Constructor Details
- (Envelope) initialize(message, future, sender, address)
Returns a new instance of Envelope
17 18 19 20 21 22 |
# File 'lib/concurrent/actor/envelope.rb', line 17 def initialize(, future, sender, address) @message = @future = Type! future, Promises::ResolvableFuture, NilClass @sender = Type! sender, Reference, Thread @address = Type! address, Reference end |
Instance Attribute Details
- (undocumented) address (readonly)
15 |
# File 'lib/concurrent/actor/envelope.rb', line 15 attr_reader :message, :future, :sender, :address |
- (Edge::Future) future (readonly)
Returns a future which becomes resolved after message is processed
15 |
# File 'lib/concurrent/actor/envelope.rb', line 15 attr_reader :message, :future, :sender, :address |
- (Object) message (readonly)
Returns a message
15 16 17 |
# File 'lib/concurrent/actor/envelope.rb', line 15 def @message end |
- (Reference, Thread) sender (readonly)
Returns an actor or thread sending the message
15 |
# File 'lib/concurrent/actor/envelope.rb', line 15 attr_reader :message, :future, :sender, :address |
Instance Method Details
- (undocumented) address_path
32 33 34 |
# File 'lib/concurrent/actor/envelope.rb', line 32 def address_path address.path end |
- (undocumented) Child!(value, *types) Originally defined in module TypeCheck
- (Boolean) Child?(value, *types) Originally defined in module TypeCheck
- (undocumented) Match!(value, *types) Originally defined in module TypeCheck
- (Boolean) Match?(value, *types) Originally defined in module TypeCheck
- (undocumented) reject!(error)
36 37 38 |
# File 'lib/concurrent/actor/envelope.rb', line 36 def reject!(error) future.reject error unless future.nil? end |
- (undocumented) sender_path
24 25 26 27 28 29 30 |
# File 'lib/concurrent/actor/envelope.rb', line 24 def sender_path if sender.is_a? Reference sender.path else sender.to_s end end |


ONLINE CHENNAI
HOME
ONLINE CHENNAI
* 100% Cotton Fabric
* Upto 30 Wash
* Breathable, Easy ventilation
* Best Quality Elastic Band
* Easy To Wear
* Universal Fit
* Anti Dust for clean breathing
* 2 Ply Layer
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Title¶
Link: Sphinx Getting Started.
Sub-title¶
Code Block
raw text
text
public class Foo {
}
Image
Mathjax
Inline: \(\frac{3}{2}\)
Block:
\[\begin{split}\begin{array}{rl}
a_1 & = 0,\\
a_2 & = 1,\\
a_n & = a_{n-1} + 2⋅a_{n-2}
\end{array}\end{split}\]


Dojo’s Label
widget creates a <label>
element that wraps
its children. It is included by default in all form input widgets (including
ComboBox
and TimePicker
).
@dojo/widgets
make use of the label and share the
same properties.label
API
hidden
property is true, it uses styles that leave the text
content accessible to screen readers


Close
Error
There was an error
You might try again to see if it works better, or take a look to see if you are missing values.
Ok, I get it


Agriculture & Commercial Buildings
Combining metal and wood that creates a hybrid frame of complete stability with total flexibility. This advantage gives us the endless opportunity for you to dream and us to build.
Combining metal and wood that creates a hybrid frame of complete stability with total flexibility. This advantage gives us the endless opportunity for you to dream and us to build.


You can add some users for Cc and some filenames separated by comma. Then, the glob pattern for filename is allowed.


NEWS: The first Egypt, Ethiopia, Sudan Meeting on GERD With the World Bank and the US in Attendance Concluded
by addisstandardAddis Abeba November 17/2019 – The 4th meeting of the water ministers of Egypt, Ethiopia and Sudan on the Grand Ethiopian Renaissance Dam (GERD) was concluded in Addis Abeba. The meeting held on the 15th and 16th of November is the first to be attended by representatives of the World Bank and the US government.
This meeting dealt with agenda set by the 3rd meeting of water ministers and experts of the three countries in Khartoum on the filling and discharging of the dam, the ministry of foreign affairs of Ethiopia said, adding agreement has been reached on some issues with others set to be resolved in the next meeting.
The water ministers signed minutes of the meeting and are set to convene in Cairo on the 2nd and 3rd of December, 2019. AS
Note: Please see this link for background on the news.


{% load static %}
Artworks by Harumi Hironaka
Taking inspirations from 500px, Quora, and Wordpress, effigia.com is a portal for galleries that sees significance in every work of art you make, may they be aesthetics from sketches, literature, and photography.
You can create some curated galleries out of your favorite portfolios from thousands of artists like you!
You can follow other artists, galleries, and like and comment to galleries and portfolios. You can post on groups and interact with other artists, too.
If you're into forums and discussions, you can join some active groups or create your own to spread some good vibes in the community!
Feel free to email us to provide some feedback, give us suggestions for improvements, or to just say hello!


Rubidium
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Type in a subreddit or drag and drop here if you've saved a list.
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The menu Analysis contains the following commands and sub menus:
| Tools for Analysis | Various tools for analysis. |
| Symmetric Encryption (classic) | Analysis of symmetrically (classic) encrypted documents. |
| Symmetric Encryption (modern) | Analysis of symmetrically (modern) encrypted documents. |
| Asymmetric Encryption | Analysis of asymmetrically encrypted documents. |
| Hash | Analysis of different hash algorithms. |
| Analyze Randomness | Various tools to analyze randomness. |


Instructions:
Green (player 1) presses the 'W' key repeatedly to boost forward.
Blue (player 2) presses the 'UP ARROW' repeatedly to boost forward.
Information:
Mash Race was made in (well under) 48 hours for the Mini Ludum Dare, number 54.
It is a button-mashing game, where 2 players press a button the fastest that they can to win a race!
The game was made using
- HTML / JavaScript / CSS
- Three.js (Open-Source 3D JavaScript Library)
- Brackets as a text editor / live debugger
The code is open-source, and can be found HERE!
But, THE CODE USED WAS RUSHED AND IS NOT NEAT AND DOES NOT USE GOOD PROGRAMMING PRACTICES! USE AT OWN RISK!


Your Withdrawal History
Your Balance History
{% for opponent in opponent_list%}
{{opponent[0]}}'s Balance History
{{opponent[0]}}'s Withdrawal History
{% endfor %}
| Opponent | Goal |
{% for challenge in challenge_table %}
{{challenge[2]}} | {{challenge[6]}}
|
{% endfor %}
Bronze: 4
Silver: 3
Gold: 2
{% endblock %}


Presentation available at: http://kansascitywomenintechnology.github.io/IntroToHTMLAndCSS
Software Engineer, The Nerdery - Chicago
"Tangible dates lead to tangible results. 'Someday' leads to regret. Plan your dreams now. With spreadsheets."
Read more about Laura on the Nerdery's Blog!Senior Software Engineer, Engaged Technologies - Kansas City
We talked about tools for your #LadyDev toolbelt:
Hyper Text Markup Language
***
HTML is used for the placement or meaning of the content - header, paragraph, list versus its style (font, color, font size)
***
Text is marked with a "tag" that gives it a purpose
Meta Data is invisible to the reader but gives the browser important information about how to interpret the HTML on the page.
<!DOCTYPE html>

Meta Data Goes Here
<title>Brower tab title here </title>

My First Heading

This is the first paragraph. All visible page content is nested inside the opening and closing body tags.

Paragraph:

 content goes here

Headings (1-6):

 header content goes here

Ordered lists:

 <--"ol" designates the start of an ordered list

list item 1 here

list item 2 here

list item 3 here

the closing tag marks the end of the list:-->

Hyperlink:
 URL Name
Images:

Image with Hyperlink:
<img border="0" src="location/LL-53.jpg" width="300" height="404" alt="Alternate Name"
Note: For details or more examples, start with your handout and then use W3Schools' tutorial as a desk reference.
Inline formatting specifies the look of the element. While it can be done in HTML, it should be done in CSS whenever possible because it is easier to maintain.

 My Title Should Be Blue

becomes. . .

list item 1.

list item 2.

;
Don't try to mash your code together. Use enough line breaks for readability and clarity.
***
Validate often - save your work and see how it looks in-browser as you progress.
***
Next: Debugging!
There are many tools you can use. Some are built into your text editor and some are separate. Here are some resources.
Cascading Style Sheets (CSS)
***
CSS does the heavy lifting with regard to the page formatting.
***
CSS controls how elements look, including font color, size, and other details that pertain to all elements in an HTML document that are the same type.
Image Credit:
LearnWebCode.comImage Credit:
Fiercegirldesign.comBox model - a visual frame of reference for margins around elements
The Meta Data Section of your HTML doc tells the browser to look for a corresponding stylesheet:
<!DOCTYPE html>

<link type="text/css" rel="stylesheet" href="stylesheet.css"/>
<title>Page Title</title>

heading content

Some Content here

The CSS Stylesheet (href="stylesheet.css" in the previous slide) describes how the heading and paragraph will look:
body {
background-color: #b7d1c4
}
h3 {
font-family: Verdana;
font-weight: bold;
text-align: center;
padding-top: 25px;
padding-bottom: 25px;
color: #acd1b2;
}
Next month: Introduction To Command Line
March: GitHub Basics


Async::Wrapper
Represents an asynchronous IO within a reactor.
Nested
Definitions
def initialize(io, reactor = nil)
Implementation
def initialize(io, reactor = nil)
@io = io
@reactor = reactor
@monitor = nil
@readable = nil
@writable = nil
@any = nil
end
attr :io
The underlying native io
.
attr :reactor
The reactor this wrapper is associated with, if any.
attr :monitor
The monitor for this wrapper, if any.
def reactor= reactor
Bind this wrapper to a different reactor. Assign nil to convert to an unbound wrapper (can be used from any reactor/task but with slightly increased overhead.) Binding to a reactor is purely a performance consideration. Generally, I don't like APIs that exist only due to optimisations. This is borderline, so consider this functionality semi-private.
Implementation
def reactor= reactor
return if @reactor.equal?(reactor)
cancel_monitor
@reactor = reactor
end
def wait_readable(timeout = nil)
Wait for the io to become readable.
Implementation
def wait_readable(timeout = nil)
raise WaitError if @readable
self.reactor = Task.current.reactor
begin
@readable = Fiber.current
wait_for(timeout)
ensure
@readable = nil
@monitor.interests = interests if @monitor
end
end
def wait_writable(timeout = nil)
Wait for the io to become writable.
Implementation
def wait_writable(timeout = nil)
raise WaitError if @writable
self.reactor = Task.current.reactor
begin
@writable = Fiber.current
wait_for(timeout)
ensure
@writable = nil
@monitor.interests = interests if @monitor
end
end
def wait_any(timeout = nil)
Wait fo the io to become either readable or writable.
Implementation
def wait_any(timeout = nil)
raise WaitError if @any
self.reactor = Task.current.reactor
begin
@any = Fiber.current
wait_for(timeout)
ensure
@any = nil
@monitor.interests = interests if @monitor
end
end
def close
Close the io and monitor.
Implementation
def close
cancel_monitor
@io.close
end
def interests
What an abomination.
Implementation
def interests
if @any
return :rw
elsif @readable
if @writable
return :rw
else
return :r
end
elsif @writable
return :w
end
return nil
end


The Public Assistance Investigators of Virginia (PAIV) is a private, non-profit organization consisting of statewide membership, of individuals with an interest in the state’s public assistance fraud control program in Virginia.
The Public Assistance Investigators of Virginia is established to assist investigators in their endeavors to prevent, detect and adjudicate public assistance fraud.
In 1990, Eileen Grant spearheaded a small group of investigators to found a statewide fraud organization which became The Public Assistance Investigators of Virginia (PAIV).
With Eileen as president for its first four years, PAIV began to successfully petition the Virginia Assembly to make fraud investigation a mandate program serving as the basis of the Fraud Reduction and Elimination Effort (Fraud Free).
As Virginia’s investigators we owe Eileen Grant a debt of gratitude for her vision, tireless work, and dedication to enhancing fraud prevention and detection and increasing our status as investigative professionals.
Read More


Generate a single randomly distorted bounding box for an image. (deprecated)
tf.compat.v1.image.sample_distorted_bounding_box( image_size, bounding_boxes, seed=None, seed2=None, min_object_covered=0.1, aspect_ratio_range=None, area_range=None, max_attempts=None, use_image_if_no_bounding_boxes=None, name=None )
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version.
Instructions for updating:
seed2
arg is deprecated.Use sample_distorted_bounding_box_v2 instead.
Bounding box annotations are often supplied in addition to ground-truth labels
in image recognition or object localization tasks. A common technique for
training such a system is to randomly distort an image while preserving
its content, i.e. data augmentation. This Op outputs a randomly distorted
localization of an object, i.e. bounding box, given an image_size
,
bounding_boxes
and a series of constraints.
The output of this Op is a single bounding box that may be used to crop the
original image. The output is returned as 3 tensors: begin
, size
and
bboxes
. The first 2 tensors can be fed directly into tf.slice
to crop the
image. The latter may be supplied to tf.image.draw_bounding_boxes
to
visualize what the bounding box looks like.
Bounding boxes are supplied and returned as [y_min, x_min, y_max, x_max]
.
The
bounding box coordinates are floats in [0.0, 1.0]
relative to the width and
height of the underlying image.
For example,
# Generate a single distorted bounding box. begin, size, bbox_for_draw = tf.image.sample_distorted_bounding_box( tf.shape(image), bounding_boxes=bounding_boxes, min_object_covered=0.1) # Draw the bounding box in an image summary. image_with_box = tf.image.draw_bounding_boxes(tf.expand_dims(image, 0), bbox_for_draw) tf.compat.v1.summary.image('images_with_box', image_with_box) # Employ the bounding box to distort the image. distorted_image = tf.slice(image, begin, size)
Note that if no bounding box information is available, setting
use_image_if_no_bounding_boxes = True
will assume there is a single implicit
bounding box covering the whole image. If use_image_if_no_bounding_boxes
is
false and no bounding boxes are supplied, an error is raised.
image_size
: A Tensor
. Must be one of the following types: uint8
, int8
,
int16
, int32
, int64
. 1-D, containing [height, width, channels]
.bounding_boxes
: A Tensor
of type float32
. 3-D with shape [batch, N, 4]
describing the N bounding boxes associated with the image.seed
: An optional int
. Defaults to 0
. If either seed
or seed2
are
set to non-zero, the random number generator is seeded by the given
seed
. Otherwise, it is seeded by a random seed.seed2
: An optional int
. Defaults to 0
. A second seed to avoid seed
collision.min_object_covered
: A Tensor of type float32
. Defaults to 0.1
. The
cropped area of the image must contain at least this fraction of any
bounding box supplied. The value of this parameter should be non-negative.
In the case of 0, the cropped area does not need to overlap any of the
bounding boxes supplied.aspect_ratio_range
: An optional list of floats
. Defaults to [0.75,
1.33]
. The cropped area of the image must have an aspect ratio = width /
height within this range.area_range
: An optional list of floats
. Defaults to [0.05, 1]
. The
cropped area of the image must contain a fraction of the supplied image
within this range.max_attempts
: An optional int
. Defaults to 100
. Number of attempts at
generating a cropped region of the image of the specified constraints.
After max_attempts
failures, return the entire image.use_image_if_no_bounding_boxes
: An optional bool
. Defaults to False
.
Controls behavior if no bounding boxes supplied. If true, assume an
implicit bounding box covering the whole input. If false, raise an error.name
: A name for the operation (optional).A tuple of Tensor
objects (begin, size, bboxes).
begin
: A Tensor
. Has the same type as image_size
. 1-D, containing
[offset_height, offset_width, 0]
. Provide as input to
tf.slice
.size
: A Tensor
. Has the same type as image_size
. 1-D, containing
[target_height, target_width, -1]
. Provide as input to
tf.slice
.bboxes
: A Tensor
of type float32
. 3-D with shape [1, 1, 4]
containing
the distorted bounding box.
Provide as input to tf.image.draw_bounding_boxes
.


{% extends 'base.html' %} {% block content %}
This object will be deleted, and once deleted, cannot be recovered.


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28-Jul-18 04:49 PM
[dscrdvrsc] <stretcher83> @That_Guy8 and @jimboscott thanks for all the info provided, it made me take a deeper look at my rig setup, e,g. Was my nice hash miner impacting my verus coin cpu mining, after i monitored my task manager for a good while it seems that nice hash doesn’t impact my verus cpu mining- iv got 2 threads running on a quad core cpu so only want to use half the cpu power and it more often than not stays at around 54% cpu usage, then only mining on the gpu’s on nice hash my cpu usage for nice hash is between 1%-3% max , I’m happy with the balance i have found mining 2 different coins at the same time on the same system, like i said before when i try the same thing with minergate instead of nice hash my cpu usage for minergate goes up well past 70% so i wouldn’t be able to mine verus as effectively as i am now,
[dscrdvrsc] <That_Guy8> @stretcher83 good to hear man yeah make verus a priority and mining on the side this is the coin to have
[dscrdvrsc] <stretcher83> A good debate is always healthy and can be rewarding
[dscrdvrsc] <stretcher83>
[dscrdvrsc] <That_Guy8> I’d strongly suggest when you can moving from nicehash to direct mining to pools. Nicehash is a rip-off
[dscrdvrsc] <That_Guy8> In my opinion anyways
[dscrdvrsc] <stretcher83> my next one is mining pool hub just not got round to it yet
[dscrdvrsc] <stretcher83> Iv heard alot about nice hash skimming
[dscrdvrsc] <stretcher83> You never know we could get a verus gpu miner in the future and i would move all my hash rate over to there
[dscrdvrsc] <jimboscott> Don't know... it's been what... about 2.5 months and nobody has come up with a GPU miner yet...
[dscrdvrsc] <jimboscott> Maybe it hashes so fast on CPU nobody cares to.
[dscrdvrsc] <stretcher83> If verus coin ends up going up in price alot in the future i dont think other miners will take long to emerge , people are so clever and driven , hek i didnt even think these sort of hash rates where possible for cpu’s
[dscrdvrsc] <That_Guy8> I think the aim is to keep it CPU only?
[dscrdvrsc] <That_Guy8> There is a GPU in progress but it’s inefficient and sticking to not wiping out CPUs
[dscrdvrsc] <That_Guy8> From my understanding.
[dscrdvrsc] <stretcher83> Im looking forward to it what ever happens cpu only or gpu,s
[dscrdvrsc] <miketout> We will try to get GPU mining ready to use alongside CPU mining soon, but we believe CPUs will be the fastest for some time
[dscrdvrsc] <stretcher83> Isnt a asic just a processor I mean like multiple processors , i dont fully understand them but thats sort of the jist I get
[dscrdvrsc] <stretcher83> I dont want asics on verus just like the rest of us i just think nothing is impossible unfortunately
[dscrdvrsc] <stretcher83> I would rather have cpu and gpu over asic all day long
[dscrdvrsc] <That_Guy8> Sorta yeah but only good for 1 task and that is all.
[dscrdvrsc] <That_Guy8> FPGA is like a baby version of an asic. Less power but can reprogram to do other tasks.
[dscrdvrsc] <stretcher83> Yeh so like you can emulate cores or whatever you need to get your programs working
[dscrdvrsc] <stretcher83> Can a fpga fool the verus wallet into using cores emulated cores on it
[dscrdvrsc] <That_Guy8> If someone could write the code it could I guess.
[dscrdvrsc] <That_Guy8> I know nothing of coding though
[dscrdvrsc] <That_Guy8> So take what I say as speculation in that area
[dscrdvrsc] <stretcher83> Yeh iv read them fpga are very hard to program
[dscrdvrsc] <That_Guy8> Have you looked at the acorn FPGAs
[dscrdvrsc] <That_Guy8> I’ve orders some of them
[dscrdvrsc] <That_Guy8> Going to be so good!!
[dscrdvrsc] <stretcher83> Iv not
[dscrdvrsc] <That_Guy8> Have a sus.
[dscrdvrsc] <That_Guy8> Being made by the OhGod company
[dscrdvrsc] <That_Guy8> Same people that did the EthEnlargement Pill for 1080/1080ti
[dscrdvrsc] <stretcher83> Only done light research , im interested in most things crypto


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Constructor for a top-level tree item.
- Parameters
-
| [in] | parent | Parent tree to add this item to |
| [in] | object | SceneObject that this item represents |
Constructor for a child tree item.
- Parameters
-
| [in] | parent | Parent item to add this item to |
| [in] | object | SceneObject that this item represents |
| Ocular::Editor::SceneTreeItem::~SceneTreeItem |
( |
| ) |
|
|
virtual |
| void Ocular::Editor::SceneTreeItem::buildItem |
( |
| ) |
|
|
protected |
Builds the item based off of the SceneObject
- Returns
- The object that is represented by this item.
| Core::UUID const & Ocular::Editor::SceneTreeItem::getUUID |
( |
| ) |
const |
- Returns
- The UUID of the object that is represented by this item.
The documentation for this class was generated from the following files:
- C:/Projects/OcularEngine/OcularEditor/include/Widgets/SceneTreeItem.hpp
- C:/Projects/OcularEngine/OcularEditor/src/Widgets/SceneTreeItem.cpp


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Gujarat High Court Case Information System Print SCR.A/1738/2009 3/ 3 ORDER IN THE HIGH COURT OF GUJARAT AT AHMEDABAD SPECIAL CRIMINAL APPLICATION No. 1738 of 2009 ========================================================= GUJARAT POLLUTION CONTROL BOARD - Applicant(s) Versus HARIJAY FUR FABRICKS PRIVATE LIMITED & 6 - Respondent(s) ========================================================= Appearance : MR SUNIL L MEHTA for Applicant(s) : 1, MS ANUJA S NANAVATI for Respondent(s) : 1,4 - 6. NOTICE SERVED for Respondent(s) : 2 - 3. MR KP RAVAL, APP for Respondent(s) : 7, ========================================================= CORAM : HONOURABLE MR.JUSTICE AKIL KURESHI Date : 26/02/2010 ORAL ORDER
This petition has been filed by Gujarat Pollution Control Board ('GPCB' for short). Petitioner challenges an order dated 28.05.2009 by which learned Additional Sessions Judge, Bharuch allowed the revision application of respondents No.1 to 6 herein who are the original accused.
Accused are facing charges of starting polluting industries without proper permissions. The learned Magistrate by his order dated 06.12.2006 ordered framing of charge under Sections 24, 25, 43, 44 and 47 of Water (Prevention & Control of Pollution) Act. Accused challenged the said order before the learned Additional Sessions Judge who by the impugned order allowed the revision application and set aside the order for framing of charge. It is not in dispute that the entire order of the learned Additional Sessions Judge was passed on one single ground namely that as held by this Court in 2002(2) GLR 1580, there was no proper sanction for prosecution.
Learned counsel for the petitioner, however, pointed out that the above view of the High Court namely that sanction and approval are two separate and independent aspects, has not been approved by the Apex Court in the recent judgment rendered in case of Gujarat Pollution Control Board v. Nicosulf Industries & Export Private Limited reported in 2009(2) SCC 171 wherein it is held and observed as under:
17. The High Court has held that the power to sanction a complaint is distinct from the power to authorize the complaint. This view is clearly unsustainable for the reason that if the provisions are construed in the context that as a check over the complaint filed, then the grant of sanction to file a complaint would be in law an authorization to file the complaint. The stand of the appellant is that the difference between sanction and authorization in the context of provisions of the Act and in contradistinction to the provisions of IPC and the Code is more semantic than real. The stand is well founded.
To the above aspect, learned counsel for the private respondents was also not in a position to raise any dispute. The legal position having been clarified, the order of the learned Additional Sessions Judge quashing the order of the Magistrate for framing of charge, therefore, cannot sustain. The same is, therefore, required to be set aside.
Learned counsel for the accused, however, submitted that original accused No.4 is aged about 85 years and is residing at Mumbai. Accused Nos.5 and 6 are married ladies also residing at Mumbai. The factory was situated at Ankleshwar.  These accused even otherwise did not have control over the day to day functioning of the factory. He, therefore, submitted that complaint against such accused should not be allowed to proceed. In the present petition, for want of any material in support of the above contentions and consequential prayer, I make no observations leaving it open to them to seek remedy in accordance with law.
Subject to above observations, petition is allowed. Impugned order dated 28th May 2009 is set aside.
(Akil Kureshi, J.) menon Top


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Gecode::Set::Projection::CardProjection Class Reference
#include <propagator.hh>
Inherits Gecode::Propagator.
List of all members.
Detailed Description
Nary cardinality projection propagator.
Definition at line 126 of file propagator.hh.
|
Public Member Functions |
| virtual PropCost | cost (ModEventDelta med) const |
| | Cost function.
|
| virtual size_t | dispose (Space *home) |
| | Delete propagator.
|
| virtual Actor * | copy (Space *home, bool) |
| | Copy propagator during cloning.
|
| virtual ExecStatus | propagate (Space *home, ModEventDelta med) |
| | Perform propagation.
|
| virtual Reflection::ActorSpec | spec (const Space *home, Reflection::VarMap &m) const |
| | Specification for this propagator.
|
Static Public Member Functions |
| static Support::Symbol | ati (void) |
| | Name of this propagator.
|
| static ExecStatus | post (Space *home, ViewArray< SetView > &x, Gecode::Int::IntView i, Projector &p) |
Protected Member Functions |
| | CardProjection (Space *home, bool share, CardProjection &p) |
| | Constructor for cloning p.
|
| | CardProjection (Space *home, ViewArray< SetView > &x, Gecode::Int::IntView i, Projector &ps) |
| | Constructor for creation.
|
Protected Attributes |
| ViewArray< SetView > | x |
| | Array of views.
|
| Gecode::Int::IntView | i |
| | Integer view for cardinality.
|
| SharedArray< PropCond > | pc |
| | Array of PropConds.
|
| Projector | proj |
| | The projector to propagate.
|
Constructor & Destructor Documentation
| Gecode::Set::Projection::CardProjection::CardProjection |
( |
Space * |
home, |
|
|
bool |
share, |
|
|
CardProjection & |
p | |
|
) |
| | [inline, protected] |
Constructor for cloning p.
Definition at line 58 of file card.icc.
Constructor for creation.
Definition at line 42 of file card.icc.
Member Function Documentation
| size_t Gecode::Set::Projection::CardProjection::dispose |
( |
Space * |
home |
) |
[inline, virtual] |
| Actor * Gecode::Set::Projection::CardProjection::copy |
( |
Space * |
home, |
|
|
bool |
share | |
|
) |
| | [inline, virtual] |
| Support::Symbol Gecode::Set::Projection::CardProjection::ati |
( |
void |
|
) |
[inline, static] |
Name of this propagator.
Definition at line 76 of file card.icc.
Member Data Documentation
The documentation for this class was generated from the following files:


This document provides an intuitive introduction and guide to the NIDASH Data Model for neuroimaging data sharing. NIDASH defines a core vocabulary that extends the PROV Data Model for provenance with terms that capture information about neuroimaging research, from data acquisition to analysis and results. This primer explains the fundamental NIDASH concepts and provides examples of its use. The primer is intended as a starting point for neuroimaging scientists or developers interested in using or creating apps with NIDM.
This document is part of the NIDASH Family of Documents, a set of documents defining various aspects of neuroimaging research that are necessary to achieve the vision of inter-operable interchange of information in heterogeneous environments such as the Web, research consortia, and laboratories. A list of current NIDASH documents and the latest revision of this specification can be found in the NIDM specification index. These documents are listed below.
The NIDASH Working Group encourages implementation of the specifications overviewed in this document. Work on this document by the NIDASH Working Group is ongoing, errors and suggestions may be reported in the issue tracker and these may be addressed in future revisions.
This document was published by the NIDASH Working Group as a Working Draft. If you wish to make comments regarding this document, please report using the NIDM issue tracker. You can also ask questions at Neurostars Q&A. All comments are welcome.
This primer document provides ...
This section provides an explanation of ...
| NIDM-Experiment Concept | PROV type | Identifier |
|---|---|---|
| nidm:InvestigationProcess | prov:Activity | nidm:InvestigationProcess |
| nidm:ModelSpecification | nidm:ModelSpecification | |
| nidm:InvestigationCollection | prov:Entity | nidm:InvestigationCollection |
| nidm:Model | nidm:Model | |
| nidm:Group | nidm:Group | |
| nidm:Contrast | nidm:Contrast | |
| nidm:Task | nidm:Task | |
| nidm:Condition | nidm:Condition |
nidm:InvestigationProcess is a prov:Activity.
nidm:ModelSpecification is a prov:Activity.
nidm:InvestigationCollection is a prov:Entity.
nidm:Model is a prov:Entity.
nidm:Group is a prov:Entity.
nidm:Contrast is a prov:Entity.
nidm:Condition is a prov:Entity.
| NIDM-Experiment Concept | PROV type | Identifier |
|---|---|---|
| nidm:SessionAcquisition | prov:Activity | nidm:SessionAcquisition |
| nidm:DataCollection | prov:Entity | nidm:DataCollection |
nidm:SessionAcquisition is a prov:Activity.
nidm:DataCollection is a prov:Entity.
| NIDM-Experiment Concept | PROV type | Identifier |
|---|---|---|
| nidm:AnatomyImagingAcquisition | prov:Activity | nidm:AnatomyImagingAcquisition |
| nidm:TaskBasedImagingAcquisition | nidm:TaskBasedImagingAcquisition | |
| nidm:AnatomicalScan | prov:Entity | nidm:AnatomicalScan |
| nidm:FunctionalScan | nidm:FunctionalScan | |
| nidm:BehaviorAndConditionOnsets | nidm:BehaviorAndConditionOnsets | |
| nidm:MRScanner | prov:Agent | nidm:MRScanner |
| nidm:PresentationSoftware | nidm:PresentationSoftware |
nidm:AnatomyImagingAcquisition is a prov:Activity.
nidm:TaskBasedImagingAcquisition is a prov:Activity.
nidm:AnatomicalScan is a prov:Entity.
nidm:FunctionalScan is a prov:Entity.
nidm:BehaviorAndConditionOnsets is a prov:Entity.
nidm:MRScanner is a prov:Agent.
nidm:PresentationSoftware is a prov:Agent.
| NIDM-Experiment Concept | PROV type | Identifier |
|---|---|---|
| nidm:'Project Object' | prov:Entity | nidm:ProjectObject |
nidm:'Project Object' is a prov:Entity.
| NIDM-Experiment Concept | PROV type | Identifier |
|---|---|---|
| nidm:'Study Object' | prov:Entity | nidm:StudyObject |
nidm:'Study Object' is a prov:Entity.
| NIDM-Experiment Concept | PROV type | Identifier |
|---|---|---|
| nidm:'Acquisition Object' | prov:Entity | nidm:AcquisitionObject |
nidm:'Acquisition Object' is a prov:Entity and has the following children: nidm:'Demographics Acquisition Object', nidm:'MRI Acquisition Object'.
| NIDM-Experiment Concept | PROV type | Identifier |
|---|---|---|
| nidm:'Baseline Protocol' | prov:Entity | nidm:BaselineProtocol |
| nidm:'Demographics Acquisition Object' | nidm:DemographicsAcquisitionObject | |
| nidm:'MRI Acquisition Object' | nidm:MRIAcquisitionObject | |
| nidm:'fMRI Design Type' | nidm:NIDM_0000155 |
nidm:'Baseline Protocol' is a prov:Entity.
nidm:'Demographics Acquisition Object' is a nidm:'Acquisition Object'.
nidm:'MRI Acquisition Object' is a nidm:'Acquisition Object'.
nidm:'fMRI Design Type' is a prov:Entity.
TBD
TBD
This document has been produced by the NIDASH Working Group, and its contents reflect extensive discussion within the Working Group as a whole.
Members of the NIDASH Working Group at the time of publication of this document were:


I am a paragraph AFTER the figure. I should not be included as the caption for the above figure.
But I am a caption for the figure above.


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