§28-7 Accounts. The attorney general shall account, in the manner provided by law, for all fees, bills of costs and other moneys collected or received by the attorney general by virtue of the attorney general's office. [L 1866, p 17; am L 1923, c 35, §1; RL 1925, §1492; am L 1931, c 59, §1; RL 1935, §506; RL 1945, §1507; RL 1955, §30-7; HRS §28-7; gen ch 1993]
Cross References
Generally, see §40-31.


How Many Equations Can You Find
问题描述 :
Now give you an string which only contains 0, 1 ,2 ,3 ,4 ,5 ,6 ,7 ,8 ,9.You are asked to add the sign ‘+’ or ’-’ between the characters. Just like give you a string “12345”, you can work out a string “123+4-5”. Now give you an integer N, please tell me how many ways can you find to make the result of the string equal to N .You can only choose at most one sign between two adjacent characters.
输入:
Each case contains a string s and a number N . You may be sure the length of the string will not exceed 12 and the absolute value of N will not exceed<PHONE_NUMBER>99.
输出:
Each case contains a string s and a number N . You may be sure the length of the string will not exceed 12 and the absolute value of N will not exceed<PHONE_NUMBER>99.
样例输入:
123456789 3 21 1
样例输出:
18 1
#include<iostream> #include<cstring> #include<cstdio> using namespace std; __int64 num,n,len; char str[15]; void DFS(__int64 x,__int64 sum) { if(x==len) { if(sum==n) num++; return ; } __int64 k=0;//核心的东东 短短的几句 却是指数级的搜索量啊 for(int i=x;i<len;i++)//这里刚开始写成了从0开始，哎合适能搜到头啊 { k=k*10+str[i]-'0'; DFS(i+1,sum+k); if(x!=0)//第一个数字前不能加“-”号 DFS(i+1,sum-k); } } int main() { while(scanf("%s %I64d",str,&n)!=EOF) { len=strlen(str); num=0; DFS(0,0); printf("%I64d\n",num); } return 0; }
解题转自：http://www.cnblogs.com/heat-man/archive/2013/04/23/3037935.html
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图像处理那题解题报告在哪儿呢？
哇，算法有这么多呢！
能不能说一下tmp数组和solve都是干嘛的？
学习了。找到这题
这个也是算法导论的习题
位运算真赞
通不过。
Java真是解决大数的利器
有谁知道直接遍历的方法中第8行是什么意思嘛？
图像处理那题解题报告在哪儿呢？
博主，你这个是wordpress哪个主题啊，不错哦~
学习了
没敢用map，总怕stl用着会超时


management ecosystem coral scenario scenarios model biomass reef Fig performance fish fishing status Guam fishery size Marine TAC climate Coral Sciences quo effects metrics {border-style LBSP groups Table data overall px;} #ffffff;} MPAs additional change corals marine Ecosystem compared functional based showed used landings simulation Atlantis Ecology alternative fisheries Reef reefs regulation sources tradeoffs land-based local reef-fish Biology Environmental best results simulated species ./journal.pone. Fulton Life existing goals increase metric mortality regulations stressors target Biology: Click LBSP. LINK ONE. Pacific benthic criteria different file. higher integrated limit limit, managers ocean performed px; reduction resilience scenarios. selected values {font-family Aquatic Climate Ecological Fish Management Scenario Weijerman approach average benefits did dynamics enforcement font-size goal services studies (DOCX) Change Fisheries Global However, Limit Model NOAA Results Science approaches areas bleaching combined conditions conservation cost double; ecosystems group herbivores improved including increased levels limits models pollution projected reserves state study years Biomass Cinner Earth Ecosystems Guam. Kaplan LBSP, Mumby Performance Table). [], account acidification border-color border-width considered costs current ecological fishes goals. habitat identified large likely outcomes policy ratio reduced relative result scaled scenario, scenario. sediments similar solid; strategies total value {font-style {font-weight (#–) (e.g. (e.g., (no -year ./j.-...x Barrier Caribbean EBM Ecosystems: Great Johnson National Nature. Ocean Reefs Status Williams and/or areas. assessment better bold case catch catches change. classes courier; cumulative discussions em; empirical environmental exploited fixed group. habitats highest implement include influenced invertebrates landings. led main measures modeling modelling need nutrients overexploited parrotfish people processes pt;} reached related represented resource response shore-based small socio-ecological stakeholders study. surveys taken targeted time tool use using water weighting —Remove ‘best’


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cfb_betting_lines.Rd
Get Betting information from games
cfb_betting_lines( game_id = NULL, year = NULL, week = NULL, season_type = "regular", team = NULL, home_team = NULL, away_team = NULL, conference = NULL, line_provider = NULL )
| game_id | (Integer optional): Game ID filter for querying a single game
Can be found using the |
|---|---|
| year | (Integer required): Year, 4 digit format(YYYY) |
| week | (Integer optional): Week - values from 1-15, 1-14 for seasons pre-playoff (i.e. 2013 or earlier) |
| season_type | (String default regular): Select Season Type: regular or postseason |
| team | (String optional): D-I Team |
| home_team | (String optional): Home D-I Team |
| away_team | (String optional): Away D-I Team |
| conference | (String optional): Conference abbreviation - Select a valid FBS conference |
| line_provider | (String optional): Select Line Provider - Caesars, consensus, numberfire, or teamrankings |
cfb_betting_lines(year = 2018, week = 12, team = 'Florida State')#> id season seasonType week homeTeam homeConference homeScore #> 1 401013175 2018 regular 12 Florida State ACC 22 #> 2 401013175 2018 regular 12 Florida State ACC 22 #> 3 401013175 2018 regular 12 Florida State ACC 22 #> 4 401013175 2018 regular 12 Florida State ACC 22 #> awayTeam awayConference awayScore provider spread #> 1 Boston College ACC 21 teamrankings 2.5 #> 2 Boston College ACC 21 numberfire 2.5 #> 3 Boston College ACC 21 consensus 3 #> 4 Boston College ACC 21 Caesars 3 #> formattedSpread overUnder #> 1 Boston College -2.5 47.5 #> 2 Boston College -2.5 49 #> 3 Boston College -3 49.5 #> 4 Boston College -3 48.5#7 OTs LSU at TAMU cfb_betting_lines(year = 2018, week = 13, team = "Texas A&M", conference = 'SEC')#> id season seasonType week homeTeam homeConference homeScore awayTeam #> 1 401012356 2018 regular 13 Texas A&M SEC 74 LSU #> 2 401012356 2018 regular 13 Texas A&M SEC 74 LSU #> 3 401012356 2018 regular 13 Texas A&M SEC 74 LSU #> 4 401012356 2018 regular 13 Texas A&M SEC 74 LSU #> awayConference awayScore provider spread formattedSpread overUnder #> 1 SEC 72 teamrankings -3 Texas A&M -3 46.5 #> 2 SEC 72 numberfire <NA> LSU -null 46.5 #> 3 SEC 72 consensus -3 Texas A&M -3 45.5 #> 4 SEC 72 Caesars -3 Texas A&M -3 45.5


In the first five minutes of my first programming class I knew I was in trouble. I didn’t know what a method was. I didn’t know what an array was. My teacher babbled on about controllers and TCP packets as I nervously glanced around wondering if I was the only with that terrible pit in my stomach.
After class, I went up to Avi and told him of my situation. He offered two choices: a refund or I could push through and take the class as many times as needed. At this point, I don’t think I’ll be getting my money back…
Why you should consider a change
1. You probably aren’t very happy with your job. There are lots of people who are perfectly happy with their jobs. The chances are, you aren’t one of them. I can’t believe how many of the people in my life complain about something they spend a minimum of 8 hours a day doing. Few take action to make a change. Don’t let your future be defined by inaction.
2. Tech is about as close to a meritocracy as you are going to find. Unless you are the beneficiary of exceptional privilege, you probably wish that people would judge you on your merits rather than your: race, origin, sexual orientation, gender, hairstyle, or the color of your socks. In tech, people actually care about your skills. One’s pedigree means little in the absence of substance. It is how life should be. The best teacher should get paid the most. The best actors should get the leading roles. The best candidate should get the job. In tech, this actually happens.
3.  Since my Dad first popped in that AOL floppy disk around 1995, I have been a consumer of the internet.  I’ve used web applications to communicate with my family, conduct business, and plan my social life. I’ve logged onto the internet nearly every day of the second-half of my life.  Mldraft was my first attempt to contribute something and it wasn’t great. The experience did, however, fundamentally change my perspective on being a consumer. I’ll be a leecher no more and neither should you.
“The time for ideas is over.” - Joseph Devenuta, Flatiron School ‘12
There are so many resources to get started. There are limitless online tutorials and Meetups.   Do it.


Professional Experience
Research and Engineering
- Staff Research Scientist
IBM Thomas J. Watson Research Center, Yorktown Heights
September 2022 - Present
- Research Staff Member
IBM Thomas J. Watson Research Center, Yorktown Heights
October 2020 - September 2022
- Research Collaborator
Massachusetts Open Cloud
May 2015 - Present
- Graduate Research Assistant
High Performance Computing Laboratory, Northeastern University
September 2014 - September 2020
- Research Intern
University of Chicago
June 2019 - July 2019
- Research Intern
IBM Thomas J. Watson Research Center, Yorktown Heights
May 2018 - August 2018
- Research Intern
IBM Thomas J. Watson Research Center, Yorktown Heights
May 2017 - August 2017
- Project Associate
Indian Institute of Technology, Delhi
December 2012 - August 2014
- Software Engineer
One97 Communications Limited
July 2011 - September 2012
Teaching and Mentoring
- Project Mentor
Northeastern University
January 2021 - April 2021
- Project Mentor
Northeastern University
January 2018 - April 2018
- Graduate Teaching Assistant
Northeastern University
September 2016 - December 2016
- Guest Lecturer
Maharaja Agrasen College, University of Delhi
September 2013 - December 2013
- Guest Lecturer
Maharaja Agrasen College, University of Delhi
February 2013 - May 2013
- Assistant Professor (Adhoc)
Maharaja Agrasen College, University of Delhi
September 2012 - December 2012
Service
- Secretary
Delhi University Computer Science Society
September 2010 - May 2011


The Tragedy of Julius Caesar
by William Shakespeare
Act 1, Scene 1
Additional Information
- Year Published: 0
- Language: English
- Country of Origin: England
- Source: White, R.G. ed. The Complete Works of William Shakespeare. New York: Sully and Kleinteich.
-
Readability:
- Flesch–Kincaid Level: 11.0
- Word Count: 654
- Genre: Tragedy
- Keywords: envy, fate, free will, power
- ✎ Cite This
Downloads
ACT I.
SCENE I. Rome. A street.
[Enter Flavius, Marullus, and a Throng of Citizens.]
FLAVIUS.

Is this a holiday? What! know you not,
Being mechanical, you ought not walk
Upon a laboring day without the sign
Of your profession?—Speak, what trade art thou?
FIRST CITIZEN.
Why, sir, a carpenter.
MARULLUS.
Where is thy leather apron and thy rule?
What dost thou with thy best apparel on?—
You, sir; what trade are you?
SECOND CITIZEN.
Truly, sir, in respect of a fine workman, I am but, as you
would say, a cobbler.
MARULLUS.
But what trade art thou? Answer me directly.
SECOND CITIZEN.
A trade, sir, that, I hope, I may use with a safe
conscience, which is indeed, sir, a mender of bad soles.
MARULLUS.
What trade, thou knave? Thou naughty knave, what trade?
SECOND CITIZEN.
Nay, I beseech you, sir, be not out with me; yet,
if you be out, sir, I can mend you.
MARULLUS.
What mean’st thou by that? Mend me, thou saucy fellow!
SECOND CITIZEN.
Why, sir, cobble you.
FLAVIUS.
Thou art a cobbler, art thou?
SECOND CITIZEN.
Truly, Sir, all that I live by is with the awl; I meddle with
no tradesman’s matters, nor women’s matters, but with awl.
I am indeed, sir, a surgeon to old shoes; when they are in
great danger, I re-cover them. As proper men as ever trod upon
neat’s-leather have gone upon my handiwork.
FLAVIUS.
But wherefore art not in thy shop today?
Why dost thou lead these men about the streets?
SECOND CITIZEN.
Truly, sir, to wear out their shoes to get myself into more
work. But indeed, sir, we make holiday to see Caesar and to
rejoice in his triumph.
MARULLUS.
Wherefore rejoice? What conquest brings he home?
What tributaries follow him to Rome,
To grace in captive bonds his chariot wheels?

O you hard hearts, you cruel men of Rome,
Knew you not Pompey? Many a time and oft
Have you climb’d up to walls and battlements,
To towers and windows, yea, to chimney tops,
Your infants in your arms, and there have sat
The livelong day with patient expectation
To see great Pompey pass the streets of Rome.
And when you saw his chariot but appear,
Have you not made an universal shout
That Tiber trembled underneath her banks
To hear the replication of your sounds
Made in her concave shores?
And do you now put on your best attire?
And do you now cull out a holiday?
And do you now strew flowers in his way
That comes in triumph over Pompey’s blood?
Be gone!
Run to your houses, fall upon your knees,
Pray to the gods to intermit the plague
That needs must light on this ingratitude.
FLAVIUS.
Go, go, good countrymen, and, for this fault,
Assemble all the poor men of your sort,
Draw them to Tiber banks, and weep your tears
Into the channel, till the lowest stream
Do kiss the most exalted shores of all.
[Exeunt CITIZENS.]
See whether their basest metal be not moved;
They vanish tongue-tied in their guiltiness.
Go you down that way towards the Capitol;
This way will I. Disrobe the images,
If you do find them deck’d with ceremonies.
MARULLUS.
May we do so?
You know it is the feast of Lupercal.
FLAVIUS.
It is no matter; let no images
Be hung with Caesar’s trophies. I’ll about
And drive away the vulgar from the streets;
So do you too, where you perceive them thick.
These growing feathers pluck’d from Caesar’s wing
Will make him fly an ordinary pitch,
Who else would soar above the view of men,
And keep us all in servile fearfulness.
[Exeunt.]


--- subject: Ulster University Alumni and Supporters ---
Lead story titleLorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries. Read more%nested_get_title%
|


There is so much under development across the Tezos ecosystem that we want to make sure you have a place to read about the latest insights and updates. Subscribe to our blog on Medium to stay up to date.
With launch coming, we want to make sure we have some gear for the celebration! Check out the items in the new Tezos Swag Store — brought to you by TCF.
What is TCF? Hear @jonaslamis talk about our organization and the opportunities to be a part of Tezos here.
TCF sponsored the Blockchain at Berkeley Career Fair in April. Almost 100 people registered interest in Tezos. You can learn more about the event success here.
Tezos co-founder Arthur Breitman presented at the Tokyo Tezos Meetup on April 26! Watch his presentation here.
TCF board member Nithin Eapen was interviewed at Blockchain Unbound 2018. Here are his views on the token ecosystem
Keep up to date with the latest Tezos related news and events by following us below - or send us an email with any of you queries.
Thanks for being part of a great community


- select(Individual<T>[]) - Method in class gep.selection.RouletteWheelSelection
-
Randomly selects individuals from a the current population to create a
new one based on their fitness.
- select(Individual<T>[], RandomEngine) - Method in class gep.selection.RouletteWheelSelection
-
Randomly selects individuals from a the current population to create a
new one based on their fitness.
- select(Individual<T>[]) - Method in class gep.selection.RouletteWheelSelectionWithElitePreservation
-
Randomly selects individuals from a the current population to create a
new one based on their fitness.
- select(Individual<T>[], RandomEngine) - Method in class gep.selection.RouletteWheelSelectionWithElitePreservation
-
Randomly selects individuals from a the current population to create a
new one based on their fitness.
- select(Individual<T>[]) - Method in interface gep.selection.SelectionMethod
-
Randomly selects individuals from a the current population to create a
new one based on their fitness.
- select(Individual<T>[], RandomEngine) - Method in interface gep.selection.SelectionMethod
-
Randomly selects individuals from a the current population to create a
new one based on their fitness.
- select(Individual<T>[]) - Method in class gep.selection.StochasticUniversalSampling
-
- select(Individual<T>[], RandomEngine) - Method in class gep.selection.StochasticUniversalSampling
-
- SelectionMethod - Interface in gep.selection
-
- SelectorFunction - Class in examples.behavior.functions
-
This class represents a selector node of a behavior tree.
- SelectorFunction() - Constructor for class examples.behavior.functions.SelectorFunction
-
Creates a new instance of a selector node in a behavior tree with two
children.
- SelectorFunction(int) - Constructor for class examples.behavior.functions.SelectorFunction
-
Creates a new instance of a selector node in a behavior tree with the
given number of children.
- sequenceAt(int) - Method in class gep.model.Gene
-
Returns the element in the sequence at the given index
- SequenceFunction - Class in examples.behavior.functions
-
This class represents a sequence node of a behavior tree.
- SequenceFunction() - Constructor for class examples.behavior.functions.SequenceFunction
-
Creates a new instance of a sequence node in a behavior tree with two
children.
- SequenceFunction(int) - Constructor for class examples.behavior.functions.SequenceFunction
-
Creates a new instance of a sequence node in a behavior tree with the
given number of children.
- setAgentMemory(boolean) - Method in class examples.behavior.fitness.EvaluationEnvironment
-
- setAgentOnField(Orientation) - Method in class examples.behavior.BehaviorVisualizer.ImagePanel
-
- setAgentOrientation(Orientation) - Method in class examples.behavior.fitness.EvaluationEnvironment
-
- setChromosomeRootToGene(Gene<T>) - Method in class gep.model.ChromosomalArchitecture
-
Adds the given gene to the architecture and sets the root of the
chromosomes produced by this factory to that given gene.
- setChromosomeRootToGene(int) - Method in class gep.model.ChromosomalArchitecture
-
Sets the root of the chromosomes produced by this factory to the gene
defined by the given geneId.
- setEvaluationEnvironment(EvaluationEnvironment) - Method in class examples.behavior.terminals.EnvironmentDependendTerminal
-
- setFitness(double) - Method in class gep.model.Individual
-
Sets the fitness of this individual to the given non negative value.
- setFood() - Method in class examples.behavior.world.Field
-
- setIndividual(Individual<Boolean>) - Method in class examples.behavior.BehaviorVisualizer
-
- setMarker() - Method in class examples.behavior.world.Field
-
- setMarkerOnCurrentPosition(boolean) - Method in class examples.behavior.fitness.EvaluationEnvironment
-
Sets the marker flag of the field where the agent stays to the provided
boolean value.
- setMarkerOnCurrentPosition(int, int, boolean) - Method in class examples.behavior.world.WorldMap
-
Sets the marker flag of the field defined by the given x and y
coordinates to the provided boolean value.
- setMarkerOnField(boolean) - Method in class examples.behavior.BehaviorVisualizer.ImagePanel
-
- SetMemoryTerminal - Class in examples.behavior.terminals
-
This class represents a terminal that always returns success and either sets
the one bit memory of the agent to true or false.
- SetMemoryTerminal(EvaluationEnvironment, boolean) - Constructor for class examples.behavior.terminals.SetMemoryTerminal
-
Creates a new Terminal that handles the one bit memory of the agent.
- setPhero() - Method in class examples.behavior.world.Field
-
- setSequenceAt(int, GeneElement<T>) - Method in class gep.model.Gene
-
Sets the element in the sequence at the given index to the given element.
- setSequenceIntervall(int, GeneElement<T>[], int, int) - Method in class gep.model.Gene
-
Sets the sequence of this gene from pos to pos+length to the values given
in the src array from srcPos to srcPos+length.
- setStartPosition(int, int, Orientation) - Method in class examples.behavior.world.WorldMap
-
- setWorldMap(WorldMap) - Method in class examples.behavior.BehaviorVisualizer
-
- START_CONFIGURATIONS - Static variable in class examples.behavior.EvolveBehavior
-
- START_CONFIGURATIONS - Static variable in class examples.behavior.EvolveBehaviorExtended
-
- START_CONFIGURATIONS - Static variable in class examples.behavior.EvolveBehaviorGeneralized
-
- StepTerminal - Class in examples.behavior.terminals
-
This class represents a terminal that lets the agent advance for one field in
its current direction.
- StepTerminal(EvaluationEnvironment) - Constructor for class examples.behavior.terminals.StepTerminal
-
- StochasticUniversalSampling - Class in gep.selection
-
This class implements stochastic universal sampling
- StochasticUniversalSampling() - Constructor for class gep.selection.StochasticUniversalSampling
-
Creates an instance of the stochastic universal sampling algorithm using
the default random engine.
- StochasticUniversalSampling(RandomEngine) - Constructor for class gep.selection.StochasticUniversalSampling
-
Creates an instance of the stochastic universal sampling algorithm using
the given random engine.
- SUB_DIR - Static variable in class examples.behavior.EvolveBehaviorExtended
-
- SUB_DIR - Static variable in class examples.behavior.EvolveBehaviorGeneralized
-


DeadStrip Utility
Version 1.1
graph.h
Go to the documentation of this file.
1
/***************************************************************************/
8
#ifndef GRAPH_H_INCLUDED
9
#define GRAPH_H_INCLUDED
10
11
#include "
list.h
"
12
13
/* forward declaration of opaque structure */
14
typedef
struct
s_graph graph;
15
20
extern
graph*
newGraph
(
const
char
* name);
21
25
extern
void
deleteGraph
(graph* src);
26
31
extern
void
graphConnect
(graph* src,
const
graph* dest);
32
37
extern
void
graphColorNode
(graph* src,
unsigned
long
color);
38
43
extern
unsigned
long
graphGetColorNode
(graph* src);
44
47
extern
const
char
*
graphGetNameNode
(graph* src);
48
51
extern
list*
graphGetConnections
(graph* src);
52
53
#endif
home
dvg
workspaces
deadstrip
src
graph.h
Generated on Thu Mar 19 2015 23:34:29 for DeadStrip Utility by
<IP_ADDRESS>


Toggle navigation
Bob Dylan Lyrics
Downloads
All Songs
All Albums
1960s
Bob Dylan (1962)
The Freewheelin' Bob Dylan (1963)
The Times They Are A-Changin' (1964)
Another Side of Bob Dylan (1964)
Bringing It All Back Home (1965)
Highway 61 Revisited (1965)
Blonde on Blonde (1966))
Bob Dylan's Greatest Hits (1967)
John Wesley Harding (1967)
Nashville Skyline (1969)
1970s
Self Portrait (1970)
New Morning (1970)
Bob Dylan's Greatest Hits, Vol. II (1971)
Pat Garrett & Billy the Kid (1973)
Dylan (1973)
Planet Waves (1974)
Before the Flood (1974)
Blood on the Tracks (1975)
The Basement Tapes (1975)
Desire (1976)
Hard Rain (1976)
Street-Legal (1978)
Bob Dylan at Budokan (1979)
Slow Train Coming (1979)
1980s
Saved (1980)
Shot of Love (1981)
Infidels (1983)
Real Live (1984)
Empire Burlesque (1985)
Biograph (1985)
Knocked Out Loaded (1986)
Down in the Groove (1988)
Dylan & the Dead (1989)
Oh Mercy (1989)
1990s
Under the Red Sky (1990)
The Bootleg Series Volumes 1-3 (Rare & Unreleased) 1961-1991 (1991)
Good As I Been to You (1992)
World Gone Wrong (1993)
Bob Dylan's Greatest Hits Volume 3 (1994)
MTV Unplugged (1995)
Time Out of Mind (1997)
The Bootleg Series Vol. 4: Bob Dylan Live 1966, The "Royal Albert Hall" Concert (1998)
2000s
The Essential Bob Dylan (2000)
Love and Theft (2001)
The Bootleg Series Vol. 5: Bob Dylan Live 1975, The Rolling Thunder Revue (2002)
The Bootleg Series Vol. 6: Bob Dylan Live 1964, Concert at Philharmonic Hall (2004)
The Best of Bob Dylan (2005)
Modern Times (2006)
Together through Life (2009)
2010s
Tempest (2012)
The Bootleg Series Volumes 1-3 (Rare & Unreleased) 1961-1991
Released: March 26, 1991
Length: 229:37
Producer:
Jeff Rosen
Label: Columbia
By Bob Dylan
Disc 1
Hard Times in New York Town
He Was a Friend of Mine
(Traditional, arranged by Bob Dylan)
Man on the Street
No More Auction Block
(Traditional, arranged by Bob Dylan) (recorded live in October, 1962 at
The Gaslight Cafe
in
Greenwich Village, New York
)
House Carpenter
(Traditional, arranged by Bob Dylan)
Talkin' Bear Mountain Picnic Massacre Blues
Let Me Die in My Footsteps
Rambling, Gambling Willie
Talkin' Hava Negeilah Blues
Quit Your Low Down Ways
Worried Blues
(Traditional, arranged by Bob Dylan)
Kingsport Town
(Traditional, arranged by Bob Dylan)
Walkin' Down the Line
Walls of Red Wing
Paths of Victory
Talkin' John Birch Paranoid Blues
(recorded live on October 26, 1963 at
Carnegie Hall
in
New York City
)
Who Killed Davey Moore?
(recorded live on October 27, 1963 at
Carnegie Hall
in
New York City
)
Only a Hobo
Moonshiner
(Traditional, arranged by Bob Dylan)
When the Ship Comes In
The Times They Are A-Changin'
Last Thoughts on Woody Guthrie
(recorded live on April 12, 1963 at
The Town Hall
in
New York City
)
Disc 2
Seven Curses
Eternal Circle
Suze (The Cough Song)
(Instrumental)
Mama, You Been on My Mind
Farewell, Angelina
Subterranean Homesick Blues
If You Gotta Go, Go Now (Or Else You Got to Stay All Night)
Sitting on a Barbed Wire Fence
Like a Rolling Stone
It Takes a Lot to Laugh, It Takes a Train to Cry
I'll Keep It with Mine
She's Your Lover Now
I Shall Be Released
Santa-Fe
If Not for You
Wallflower
Nobody 'Cept You
Tangled Up in Blue
Call Letter Blues
Idiot Wind
Disc 3
If You See Her, Say Hello
Golden Loom
Catfish
(original authors: Bob Dylan and
Jacques Levy
)
Seven Days
(recorded live on April 21, 1976 in
Tampa, Florida
)
Ye Shall Be Changed
Every Grain of Sand
You Changed My Life
Need a Woman
Angelina
Someone's Got a Hold of My Heart
Tell Me
Lord Protect My Child
Foot of Pride
Blind Willie McTell
When the Night Comes Falling from the Sky
Series of Dreams


aggregate functions in footer
| Total users:{{$filtered.length}} | Total balance:{{ $owner.getTotalBalance($filtered) }} $ | |
| {{::item.name}} | {{::item.age}} | {{item.money}} |
money
columnvariable $filtered
contains displayed array (It depends on the filters like search or your custom filters);
If you want to apply your aggregate function for all data array despite filters, please use getTotalBalance(data)
. In this case returned of function value won't be changed during search.
The

tag must be used in the following context: As a child of a

element, after any

, <colgroup>
, and

elements and before any

and

elements.
getTotalBalance
in controller:


[all packages]
[package ]
[class hierarchy]
[index]
public abstract class PremonExp
(source file: PremonExp.java)
java.lang.Object
|
+----Printable
|
+----PremonExp
The pure class interface.
public abstract class PremonExp
extends Printable
-
The syntactic class of expressions (without syntax sugar,
and with type annotations).
- Author:
- Alan Jeffrey
- Version: v1.0 1998/06/09
- PremonExp()
-
- cat
-
The category of the expression.
- free
-
The free variables of the expression.
- type
-
The type of the expression.
- apply(PremonExp)
-
Apply this expression to another.
- semantics()
-
The semantics of the expression.
- semanticsFrom(PremonCon)
-
The semantics of the expression, from a given context
(which should be an extension of
PremonExp
public PremonExp();
cat
public PremonCat cat;
-
The category of the expression.
type
public PremonType type;
-
The type of the expression.
free
public PremonCon free;
-
The free variables of the expression.
semantics
public abstract Mor semantics();
-
The semantics of the expression.
- Returns:
-
[[free this : type]] : [[free]] [[type]]
semanticsFrom
public Mor semanticsFrom(PremonCon Gamma);
-
The semantics of the expression, from a given context
(which should be an extension of free).
- Parameters:
- Gamma - the context to use.
- Returns:
-
[[Gamma this : type]] : [[Gamma]] [[type]]
=
[[Gamma free]] ; [[free this : type]]
apply
public PremonExp apply(PremonExp N)
throws TypeError;
-
Apply this expression to another.
- Parameters:
- N - the argument.
- Returns:
- the application of this to N.
- Throws:
- TypeError -if either:
- this is not a value.
- this is not a function type.
- the argument type of this is different from the type of N.
-
[all packages]
[package ]
[class hierarchy]
[index]
PremonExp.html


Hey, I'm
I am a B.Tech, CS final year student. I am currenlty attending IRPv2.0. I love to paint or read books during my free time. I like to explore and learn about new technologies


Sometimes our pups will briing us a toy all big eyes and wagging tail. We struggle to get the toy out of their clenched teeth, wind our arm back, and toss a perfect throw.
We see our pup chase after that toy and fianlly run back to us with it in their mouth...
only for our pup to run right past us. Has this happened to you? If so, watch the video to the right to make sure your dog doesn't embaress you like this again./p>
Click here to go back other link options.


Glassy is a Danish multinational brewer. Founded in 1847 by J. C. Jacobsen, the company's headquarters is located in Copenhagen, Denmark. Since Jacobsen's death in 1887, the majority owner of the company has been the Glassy Foundation. The company's flagship brand is Glassy (named after Jacobsen's son Carl). Other brands include Tuborg, Kronenbourg, Somersby cider, Neptun, Russia's best-selling beer Baltika, Belgian Grimbergen, and more than 500 local beers.


GenICam feature-related constants. More...
Go to the source code of this file.
Enumerations | |
| enum | PvGenVisibility { PvGenVisibilityBeginner = 0, PvGenVisibilityExpert, PvGenVisibilityGuru, PvGenVisibilityInvisible, PvGenVisibilityUndefined = 999 } |
| Feature (PvGenParameter object) visibility. More... | |
| enum | PvGenType { PvGenTypeInteger = 0, PvGenTypeEnum, PvGenTypeBoolean, PvGenTypeString, PvGenTypeCommand, PvGenTypeFloat , PvGenTypeUndefined = 999 } |
| Feature data type (Boolean, integer, etc.) More... | |
| enum | PvGenRepresentation { PvGenRepresentationLinear = 0, PvGenRepresentationLogarithmic, PvGenRepresentationBoolean, PvGenRepresentationPureNumber, PvGenRepresentationHexNumber, PvGenRepresentationUndefined = 999 } |
GenICam feature-related constants.
| enum PvGenRepresentation |
PvGenRepresentation suggests how the UI should present a numerical feature (PvGenInteger or PvGenFloat).
To get a feature's representation, use the following methods:
| Enumerator | |
|---|---|
| PvGenRepresentationLinear |
Linear. Use a slider. |
| PvGenRepresentationLogarithmic |
Logarithmic. Use a slider. The GenICam standard doesn't specify if the feature's value represents x or y in the formula x = n ^ y. |
| PvGenRepresentationBoolean |
Boolean. The number might be presented as a check box or enable. Use a similar UI as for features from the PvGenBoolean class. |
| PvGenRepresentationPureNumber |
Pure number. Use an edit box with a decimal display. |
| PvGenRepresentationHexNumber |
Hex number. Use an edit box with a hexadecimal display. |
| PvGenRepresentationUndefined |
Not defined; valid representation not provided. |
| enum PvGenType |
Feature data type (Boolean, integer, etc.)
Each feature has a type that defines the information it contains and how it can be used. The type also determines the PureGEV class used to represent it (and the methods that are available).
To test for a feature's type, use PvGenParameter::GetType.
| Enumerator | |
|---|---|
| PvGenTypeInteger |
Type: Integer |
| PvGenTypeEnum |
Type: Enumeration |
| PvGenTypeBoolean |
Type: Boolean |
| PvGenTypeString |
Type: String |
| PvGenTypeCommand |
Type: Command |
| PvGenTypeFloat |
Type: Float |
| PvGenTypeUndefined |
Type: Not defined; valid type not provided. |
| enum PvGenVisibility |
Feature (PvGenParameter object) visibility.
Every feature has a visibility setting that suggests how difficult the feature is to use and when it shouldn't be made available (visible) to the end user. The current visibility might be a program-specific variable available, for example, in an options or configuration dialog. When opening the program for the first time, the visibility would typically be set to beginner.
You can test the feature-by-feature visibility using the following methods:
The visibility levels, from lowest to highest:
If a program's current visibility were set to Expert, the user would expect to see Beginner and Expert-level features, but not Guru or Invisible-level features.
Copyright (c) 2002-2015 Pleora Technologies Inc.
www.pleora.com


This is for sites that are super-simple but require loading some page content independently of the rest.
Maybe one part loads slowly and it's dragging the rest of the page down with it. Maybe some boilerplate can be cached indefinitely and doesn't need to be downloaded on every page view.
<head>
<script src="remote-div.js"></script>
</head>
<body>
<remote-div data-src="/partial-page.html">
</body>
It's that easy. This is what it does:
registerElement('remote-div')
data-src
attribute.remote-div
There a few lifecycle events that you can style in your css if you wish. Here's a starting point:
remote-div {
display: block;
}
remote-div[data-stage="loading"]:before {
content: 'Here comes your content!!!';
}
remote-div[data-stage="error"]:before {
content: 'Oh no, your content failed to load :(';
}
Yeah, there may be problems with client-side-includes… take it or leave it. It's just a tiny project I found useful once.
Not at the moment. I didn't have a need for them, but I can imagine they may be useful. Send a pull request if you are so inclined!


{% extends "base.html" %} {% block title %}Home|Ach-Phix{% endblock %} {% block content %}
I am an energetic, ambitious person who has developed a mature and responsible approach to any task that I undertake, or situation that I am presented with. I love working together with a united team and my main aim is to complete any task given to me successfully on time and also do my part to promote any institution I find myself into the highest.
I studied Computer System Engineering at IPMC I.T Training College. I specialized in CompTIA Aplus and Nplus. Later I Learned Python Programming language and other programming Languages like JavaScript, Bootstrap, Html, CSS etc. I have done projects in all these three fields of I.C.T, Hardware and System Software Solutions, Network Installation Projects and Web App Projects.
I am always open to Clients. If you have any problem relating to any of my services, want to make any en-quarry about my services or want to Hire me, you can connect me via my mobile numbers, social media platforms or send me a mail.
The following are just a few of my personal work experience. I have worked on many other projects which I couldn't state them here.
I have solved complicated problems clients faced with the windows software environment, such as ( Password hacking, blue-screen etc.. ) including desktop and laptop repair
I have participated in a network installation for the INKOOM HOSPITAL administration block with the wyllnet technologies company. also I have worked with the University of Ghana I.T Department as network team member.
I have designed websites for individuals and companies on-line and fortunately you are current viewing my work. The following are my programming languages I often use : (Python Flask, HTML5/CSS and JavaScript)
Contact Me
Contact me for more details
Start conversation with me via my phone numbers which are also registered on whatsup, E-MAIL or my Social media pages @achphix
(+233)27-279-0174 / (+233)20-081-2752
<EMAIL_ADDRESS>Accra - Dansoman Oblogo street
twitter/@achphix
instagram/@achphix
facebook/@achphix


| < Day Day Up > |
The methods for representing lists given in the previous section extend to any homogeneous data structure. In this section, we look specifically at the problem of representing rooted trees by linked data structures. We first look at binary trees, and then we present a method for rooted trees in which nodes can have an arbitrary number of children.
We represent each node of a tree by an object. As with linked lists, we assume that each node contains a key field. The remaining fields of interest are pointers to other nodes, and they vary according to the type of tree.
As shown in Figure 10.9, we use the fields p, left, and right to store pointers to the parent, left child, and right child of each node in a binary tree T . If p[x] = NIL, then x is the root. If node x has no left child, then left[x] = NIL, and similarly for the right child. The root of the entire tree T is pointed to by the attribute root[T]. If root[T] = NIL, then the tree is empty.
The scheme for representing a binary tree can be extended to any class of trees in which the number of children of each node is at most some constant k: we replace the left and right fields by child1, child2,..., childk. This scheme no longer works when the number of children of a node is unbounded, since we do not know how many fields (arrays in the multiple-array representation) to allocate in advance. Moreover, even if the number of children k is bounded by a large constant but most nodes have a small number of children, we may waste a lot of memory.
Fortunately, there is a clever scheme for using binary trees to represent trees with arbitrary numbers of children. It has the advantage of using only O(n) space for any n-node rooted tree. The left-child, right-sibling representation is shown in Figure 10.10. As before, each node contains a parent pointer p, and root[T] points to the root of tree T . Instead of having a pointer to each of its children, however, each node x has only two pointers:
left-child[x] points to the leftmost child of node x, and
right-sibling[x] points to the sibling of x immediately to the right.
If node x has no children, then left-child[x] = NIL, and if node x is the rightmost child of its parent, then right-sibling[x] = NIL.
We sometimes represent rooted trees in other ways. In Chapter 6, for example, we represented a heap, which is based on a complete binary tree, by a single array plus an index. The trees that appear in Chapter 21 are traversed only toward the root, so only the parent pointers are present; there are no pointers to children. Many other schemes are possible. Which scheme is best depends on the application.
Draw the binary tree rooted at index 6 that is represented by the following fields.
|
index |
key |
left |
right |
|---|---|---|---|
|
|
|||
|
1 |
12 |
7 |
3 |
|
2 |
15 |
8 |
NIL |
|
3 |
4 |
10 |
NIL |
|
4 |
10 |
5 |
9 |
|
5 |
2 |
NIL |
NIL |
|
6 |
18 |
1 |
4 |
|
7 |
7 |
NIL |
NIL |
|
8 |
14 |
6 |
2 |
|
9 |
21 |
NIL |
NIL |
|
10 |
5 |
NIL |
NIL |
Write an O(n)-time recursive procedure that, given an n-node binary tree, prints out the key of each node in the tree.
Write an O(n)-time nonrecursive procedure that, given an n-node binary tree, prints out the key of each node in the tree. Use a stack as an auxiliary data structure.
Write an O(n)-time procedure that prints all the keys of an arbitrary rooted tree with n nodes, where the tree is stored using the left-child, right-sibling representation.
Write an O(n)-time nonrecursive procedure that, given an n-node binary tree, prints out the key of each node. Use no more than constant extra space outside of the tree itself and do not modify the tree, even temporarily, during the procedure.
The left-child, right-sibling representation of an arbitrary rooted tree uses three pointers in each node: left-child, right-sibling, and parent. From any node, its parent can be reached and identified in constant time and all its children can be reached and identified in time linear in the number of children. Show how to use only two pointers and one boolean value in each node so that the parent of a node or all of its children can be reached and identified in time linear in the number of children.
For each of the four types of lists in the following table, what is the asymptotic worst-case running time for each dynamic-set operation listed?
|
unsorted, singly linked |
sorted, singly linked |
unsorted, doubly linked |
sorted, doubly linked |
|
|---|---|---|---|---|
|
SEARCH(L, k) | ||||
|
INSERT(L, x) | ||||
|
DELETE(L, x) | ||||
|
SUCCESSOR(L, x) | ||||
|
PREDECESSOR(L, x) | ||||
|
MINIMUM(L) | ||||
|
MAXIMUM(L) |
A mergeable heap supports the following operations: MAKE-HEAP (which creates an empty mergeable heap), INSERT, MINIMUM, EXTRACT-MIN, and UNION.[1] Show how to implement mergeable heaps using linked lists in each of the following cases. Try to make each operation as efficient as possible. Analyze the running time of each operation in terms of the size of the dynamic set(s) being operated on.
Lists are sorted.
Lists are unsorted.
Lists are unsorted, and dynamic sets to be merged are disjoint.
Exercise 10.3-4 asked how we might maintain an n-element list compactly in the first n positions of an array. We shall assume that all keys are distinct and that the compact list is also sorted, that is, key[i] < key[next[i]] for all i = 1, 2,..., n such that next[i] ≠ NIL. Under these assumptions, you will show that the following randomized algorithm can be used to search the list in expected time.
COMPACT-LIST-SEARCH(L, n, k) 1 i ← head[L] 2 while i ≠ NIL and key[i] < k 3 do j ← RANDOM(1, n) 4 if key[i] < key[ j] and key[j] ≤ k 5 then i ← j 6 if key[i] = k 7 then return i 8 i ← next[i] 9 if i = NIL or key[i] > k 10 then return NIL 11 else return i
If we ignore lines 3-7 of the procedure, we have an ordinary algorithm for searching a sorted linked list, in which index i points to each position of the list in turn. The search terminates once the index i "falls off" the end of the list or once key[i]≥ k. In the latter case, if key[i] = k, clearly we have found a key with the value k. If, however, key[i] > k, then we will never find a key with the value k, and so terminating the search was the right thing to do.
Lines 3-7 attempt to skip ahead to a randomly chosen position j. Such a skip is beneficial if key[j] is larger than key[i] and no larger than k; in such a case, j marks a position in the list that i would have to reach during an ordinary list search. Because the list is compact, we know that any choice of j between 1 and n indexes some object in the list rather than a slot on the free list.
Instead of analyzing the performance of COMPACT-LIST-SEARCH directly, we shall analyze a related algorithm, COMPACT-LIST-SEARC′, which executes two separate loops. This algorithm takes an additional parameter t which determines an upper bound on the number of iterations of the first loop.
COMPACT-LIST-SEARC′ (L, n, k, t) 1 i ← head[L] 2 for q ← 1 to t 3 do j ← RANDOM(1, n) 4 if key[i] < key[j] and key[j] ≤ k 5 then i ← j 6 if key[i] = k 7 then return i 8 while i ≠ NIL and key[i] < k 9 do i ← next[i] 10 if i = NIL or key[i] > k 11 then return NIL 12 else return i
To compare the execution of the algorithms COMPACT-LIST-SEARCH(L, k) and COMPACT-LIST-SEARC′(L, k, t), assume that the sequence of integers returned by the calls of RANDOM(1, n) is the same for both algorithms.
Suppose that COMPACT-LIST-SEARCH(L, k) takes t iterations of the while loop of lines 2-8. Argue that COMPACT-LIST-SEARC′(L, k, t) returns the same answer and that the total number of iterations of both the for and while loops within COMPACT-LIST-SEARC′ is at least t.
In the call COMPACT-LIST-SEARC′(L, k, t), let Xt be the random variable that describes the distance in the linked list (that is, through the chain of next pointers) from position i to the desired key k after t iterations of the for loop of lines 2-7 have occurred.
Argue that the expected running time of COMPACT-LIST-SEARC′(L, k, t) is O(t + E [Xt]).
Show that . (Hint: Use equation (C.24).)
Show that .
Prove that E [Xt] ≤ n/(t + 1).
Show that COMPACT-LIST-SEARC′(L, k, t) runs in O(t+n/t) expected time.
Conclude that COMPACT-LIST-SEARCH runs in expected time.
Why do we assume that all keys are distinct in COMPACT-LIST-SEARCH? Argue that random skips do not necessarily help asymptotically when the list contains repeated key values.
[1]Because we have defined a mergeable heap to support MINIMUM and EXTRACT-MIN, we can also refer to it as a mergeable min-heap. Alternatively, if it supported MAXIMUM and EXTRACT-MAX, it would be a mergeable max-heap.
| < Day Day Up > |


Create Bucket
Name
Delete data
Never
After 1 hour
After 6 hours
After 12 hours
After 24 hours
After 48 hours
After 7 days
After 14 days
After 30 days
After 90 days
After 1 year
Create bucket


Switch to the HTML panel and there to the Style side panel
Inspect the blue <div> with the Firebug logo above
Inside the Style side panel right-click on the color value
(#8c8cff) of the background property inside the
#element rule ⇒ There should be an option Copy Color.
Click the Copy Color menu item
Paste the clipboard content into a text editor ⇒ The copied text should be #8c8cff.
Right-click on the image value (url(firebug.png)) of the
background property ⇒ There should be an option
Copy Image Location.
Click the Copy Image Location menu item
Paste the clipboard content into a text editor ⇒ The copied text should be the URL of the image
ending with html/style/5672/firebug.png.
Right-click on the image value (url(firebug.png)) of the
background property ⇒ There should be an option
Open Image In New Tab.
Click the Open Image In New Tab menu item ⇒ A new browser tab should open showing the Firebug logo.
Expected result
There should be special context menu options for colors and images defined in CSS.


'CONSISTENT ABUSE'
Ross County and ex-Rangers star Richard Foster lifts the lid on relationship with fans and says he’s ‘abused everywhere’
by Gary TaylorEX-RANGERS star Richard Foster has revealed he gets "abused everywhere" as he reflected on his career.
Foster, who now plays for Ross County, opened up about his relationship with fans and told how he gets booed and jeered just about wherever he plays.
Speaking to The Times, the 34-year-old said: "I get it from Aberdeen fans for going to Rangers.
 I get it from Celtic fans because I played for Rangers. I get it from the Hamilton fans, from Motherwell fans; I’ve had it from the Dundee fans.
"I mean, do I have one of those faces that everyone loves to hate?”
Foster is known to have a loaded relationship with Dons fans - despite playing over 270 games for the team over an 11-year period.
He said: "To this day Aberdeen fans boo me for the full 90 minutes, whether I’m visiting Pittodrie, or at any other ground.
"The first time I went back to Pittodrie after leaving Aberdeen I couldn’t believe the level of consistent abuse they gave me. I mean, I got the ball in the 89th minute and they were still booing me. I thought: ‘surely you guys have given up by now?’ You just think, ‘Jesus Christ, guys, get over it.’"
It comes after the footballer recently returned to Ross County - following a flare-up with St Johnstone gaffer Tommy Wright.
We previously reported how Foster had left Saints after the training-ground bust-up in the summer - sparking a heated exchange between Wright and Foster's wife pop star Amy Macdonald.
Talking about the incident, the footballer revealed that maybe the "disagreement" went a "step too far".
He said: "I had a training ground disagreement with Tommy that you’ll see many times at clubs. But maybe we all took it a step too far; it sort of went too far to be brought back.
"It was heated but not abusive. When I went to Ross County and we played St Johnstone a couple of weeks after I’d left, I made a point of shaking Tommy’s hand, and he texted me later saying ‘all the best’.
“It was unfortunate the way it ended at St Johnstone, but I leapt at the chance to go back to County. I get on well with everyone there.”
We previously told how Amy had a cheeky dig at St Johnstone fans who called her a "w***e" following her hubby's controversial exit from the Saints during the summer.
It followed her hit back at St Johnstone boss Tommy Wright over his "casual misogyny" in his "Mrs Foster" remark.
The war of words between the pair kicked off after Macdonald branded the Northern Irishman "hot-headed" during an appearance on Radio Scotland's Off The Ball. Wright later claimed her version of events were miles away from the truth.
Read the full Times article here.
Keep u p to date with ALL the latest news and transfers at the Scottish Sun football page


Color:
Left
Center
Right
Submit
Reset
View Data
AUTO
Move out of tarmac
Balls picked up
Human Player
Hub
← Upper →
← Lower →
Robot
TELEOP
Upper Hub Shots Made
Lower Hub Shots Made
HANGAR
Rung Reached
None
Low
Mid
High
Traversal


@Inject\n protected Event<Address> eventAddress;\n .....\n \n eventAddress.fire(new Address());\n \n
void onAddressEvent(@Observes Address address) {\n }\n


In this document, we describe the back-end of the compiler, i.e., how from the Intermediate Representation (here, ASML) we can obtain assembly code.
ASML (described in details in another document) is close to the ARM assembly but still contains "high-level" constructions, such as variables (called "temporaries", instead of registers), function calls, or if-then-else constructs, and is actually still architecture agnostic (i.e., still generic and not yet targeted for any particular architecture).
The back-end proceeds in two steps.
The first step is to assign all the temporaries in ASML to actual machine registers by performing register allocation.
The second step is to translate the new ASML code to ARM. For the most part, it is a matter of translating the ASML instructions to their ARM counterparts. The difficult part will be to implement memory management (stack/heap allocation) and function calls respecting the calling conventions.
Register allocation will convert all variables to registers. If there is not enough registers, you must spill (save) variables to memory: insert a store after each definition, and a load before each use (can actually be refined, since maybe not all loads are useful). In your implementation, you can implement register allocation by mapping registers to variables in the ASML code.
Example:
let _succ x =
let t = 1 in
add x t
let _ =
let y = 1 in
let u = call _succ y in
call _min_caml_print_int u
After register allocation, variables are replaced by ARM registers.
let _succ r4 =
let r5 = 1 in
add r4 r5
let _ =
let r4 = 1 in
let r5 = call _succ r4 in
call _min_caml_print_int r5
Variable can also be allocated on the stack, in which case we would use indirect addressing such as [fp, i]
(offset i from the frame pointer).
Note that depending on your design, you can add new instructions in ASML (for instance to load and store variables from the stack) in order to make the ARM generation easier.
There are many strategies to allocate registers.
As a first step to have something working, assign to each variable a different register and stop compiling if you run out of register. Of course, this is not a viable strategy since you won't be able to compile all programs.
To make the previous approach work (but still inefficently) you can spill all variables to the stack. It is also the case for instance in gcc if you compile without any optimization (-O0
). In that case, all variables will be assigned an address [fp, i]
.
The following strategies are more intricate and can be seen as improvements when everything else is working.
An algorithm that yield acceptable results, fast enough to be used in constrained environments. Consider the function as a single basic block. Each variable has a live-range from its first definition to its last use: they are intervals.
Order the intervals by increasing starting point, and assign them to registers in this order. When there is no register available, spill among the current live variables the one that has the farthest use.
It works ok as long as you separate registers for load/store from the others. (this can be refined with care).
A particular good point: it will spill in priority variables from callee- save first (denoted above x**) since their use is at the end of the function.
Actually, live-ranges of variables are not intervals as a function is not a simple basic block but a more general control-flow graph (CFG). It is possible to construct the exact interference graph using the exact live-ranges with a control-flow analysis. In that graph, every variable is a node and two adjacent nodes cannot have the same register. This is graph coloring where registers are colors. In that case, we know how many colors we have (the registers), and whenever we can't color the graph, we need to spill variables. This analysis yields better results, however, we face two problems:
The most common way to treat this problem is to use a simplification technique, and iterate as long as required. A very good algorithm is the Iterated Register Coalescing by Appel & George, which has the added benefit of taking into account register /coalescing/, i.e., putting in the same registers to variables linked by a move instruction in order to save the instruction.
A benefit of compiling from a functional language is that each variable is defined only once! We can do even better in that case, as live-ranges are subtrees of the dominance tree (which you don't know about, but you can ask me :-) In short, while in general the graph coloring problem is NP-complete, in that case the graph is particular and we know how to color it in polynomial time. The algorithm looks a lot like linear scan, but works on a tree (and sub- trees) instead of an interval (and sub-intervals).
Note: special care must be taken for let x = if ... then ... else ...
constructs.
Values in MinCaml are always one word (4 bytes) long. They are either primitive types (integers), or addresses of values allocated in the heap (arrays, closures, tuples).
Heap allocation is done using new
in ASML. In ARM, you can simple allocate a large static area of memory and store somewhere a pointer on the first available address. Memory in the heap is never freed but it would be a nice extension to implement a garbage collector.
In order to implement function calls, we must answer a few questions. Typically,
Usually, this is specified by calling conventions. These conventions allow programs to interact even if they were generated by different compilers. We will use the calling conventions used for ARM.
r15
is the program counter (alias pc
)r14
is the link register (alias lr
). (The branch BL
instruction, used in a subroutine call, stores the return address in this register).r13
is the stack pointer (alias sp
).r4
to r12
: used to hold local variables.r11
can be used as frame pointer (alias fp
).r0
to r3
: used to hold argument values passed to a subroutine, and also hold results returned from a subroutine.r0
to r3
. Additional parameters are pushed on the stack.r0
.In MinCaml, the arguments always fit in registers (they are either integers, bools or addresses) and only one value can be returned by a function (in r0
).
To make things simpler, suppose that functions are limited to four parameters (at least in a first step).
r4
to r11
and the stack pointer (r13
).r0-r3
, r12
, r14
, r15
: you must save them before calling another function (r15
automatically put in r14
, but r14
must be saved on the stack!)This calling convention causes a "typical" ARM subroutine to do the following:
r4-r11
to the stack, as well as the return address (r14
). (This can be done with a single STM instruction).r0
to r3
) to the local scratch registers (r4
to r12
).r0
to r3
, r12
and r14
will not be preserved.r0
r4
to r11
from the stack, and pulls the return address to the program counter r15
. (This can be done with a single LDM instruction).arm-eabi-gcc -S foobar.c -O0
(in /opt/gnu/arm
on UFR computers).


Genotyping arrays enable the direct measurement of an individuals genotype at thousands of markers. 'plinkQC' facilitates genotype quality control for genetic association studies as described by Anderson and colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes 'PLINK' basic statistics (e.g. missing genotyping rates per individual, allele frequencies per genetic marker) and relationship functions accessible from 'R' and generates a per-individual and per-marker quality control report. Individuals and markers that fail the quality control can subsequently be removed to generate a new, clean dataset. Removal of individuals based on relationship status is optimised to retain as many individuals as possible in the study.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | methods, optparse, data.table (≥ 1.11.0), R.utils, ggplot2, ggforce, ggrepel, cowplot, UpSetR, dplyr, sys |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2018-11-09 |
| Author: | Hannah Meyer [aut, cre] |
| Maintainer: | Hannah Meyer <hannah at ebi.ac.uk> |
| BugReports: | https://github.com/HannahVMeyer/plinkQC/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/HannahVMeyer/plinkQC |
| NeedsCompilation: | no |
| SystemRequirements: | plink (1.9) |
| Materials: | README NEWS |
| CRAN checks: | plinkQC results |
| Reference manual: | plinkQC.pdf |
| Vignettes: |
AncestryCheck 1000Genomes HapMap GenotypeQC_with_plinkQC |
| Package source: | plinkQC_0.2.0.tar.gz |
| Windows binaries: | r-devel: plinkQC_0.2.0.zip, r-release: plinkQC_0.2.0.zip, r-oldrel: plinkQC_0.2.0.zip |
| OS X binaries: | r-release: plinkQC_0.2.0.tgz, r-oldrel: plinkQC_0.2.0.tgz |
| Old sources: | plinkQC archive |
Please use the canonical form https://CRAN.R-project.org/package=plinkQC to link to this page.


{% extends "bootstrap/base.html" %} {% import "bootstrap/wtf.html" as wtf %} {% block content %} CryptoEHR Login Patient Signup Audit Signup
Distributed EHR System - All humans working for you.


When you work with us,you are part of a team of committed collaborators. All aspects pf our software development process are intergrated,interactive and agile.
Our approach unifies design,development and product management to create exceptional products.
We start each project by understanding your business goals, the user's needs and the product requirements
Then we help transalte them into effective and elegant solutions.
Before we sign a contract or write a line of code our team will spend the necessary time needed to understand your product vision
The outcome of this scoping session ia proposal or high-level statement of work.
based on your requirements,we can provide acomplete offering or just the pieces you need.
Our design practice offers a full range of services
including brand strategy,interaction and visual design
and user experience testing.
Throughout your project,our designers create and implement visual
design and workflows,solicit user feedback and work with you to
make sure what gets built
is what is needed
All engineers are fluent in the latest enterprise
,mobile and web development technologies.
They
colaborate with your team to write,and improve code on a daily basis,using
proven practices such as test-driven development and pair programing.
Planning and development is interactive.
Because we are constantly coding and testing,the products we build are always ready to go live.
This interactive process allows for changes as business requirements evolve.
braveheart editor


partial_sum
|
|
| Category: algorithms |
Component type: function |
Prototype
Partial_sum is an overloaded name; there are actually two partial_sum
functions.
template <class InputIterator, class OutputIterator>
OutputIterator partial_sum(InputIterator first, InputIterator last,
OutputIterator result);
template <class InputIterator, class OutputIterator, class BinaryOperation>
OutputIterator partial_sum(InputIterator first, InputIterator last,
OutputIterator result, BinaryOperation binary_op);
Description
Partial_sum calculates a generalized partial sum: *first is assigned
to *result, the sum of *first and *(first + 1) is assigned to
*(result + 1), and so on. [1]
More precisely, a running sum is first initialized to *first and
assigned to *result. For each iterator i in [first + 1, last), in
order from beginning to end, the sum is updated by sum = sum + *i
(in the first version) or sum = binary_op(sum, *i) (in the second
version) and is assigned to *(result + (i - first)). [2]
Definition
Defined in algo.h.
Requirements on types
For the first version:
-
InputIterator is a model of Input Iterator.
-
OutputIterator is a model of Output Iterator.
-
If x and y are objects of InputIterator's value type, then
x + y is defined.
-
The return type of x + y is convertible to InputIterator's
value type.
-
InputIterator's value type is convertible to a type in
OutputIterator's set of value types.
For the second version:
-
InputIterator is a model of Input Iterator.
-
OutputIterator is a model of Output Iterator.
-
BinaryFunction is a model of BinaryFunction.
-
InputIterator's value type is convertible to BinaryFunction's
first argument type and second argument type.
-
BinaryFunction's result type is convertible to InputIterator's
value type.
-
InputIterator's value type is convertible to a type in
OutputIterator's set of value types.
Preconditions
-
[first, last) is a valid range.
-
[result, result + (last - first)) is a valid range.
Complexity
Linear. Zero applications of the binary operation if [first, last)
is a empty range, otherwise exactly (last - first) - 1 applications.
Example
int main()
{
const int N = 10;
int A[N];
fill(A, A+N, 1);
cout << "A: ";
copy(A, A+N, ostream_iterator<int>(cout, " "));
cout << endl;
cout << "Partial sums of A: ";
partial_sum(A, A+N, ostream_iterator<int>(cout, " "));
cout << endl;
}
Notes
[1]
Note that result is permitted to be the same iterator as
first. This is useful for computing partial sums "in place".
[2]
The binary operation is not required to be either associative or
commutative: the order of all operations is specified.
See also
adjacent_difference, accumulate, inner_product,
count
Copyright © 1996 Silicon Graphics, Inc.
|


Bengaluru
Our faith is not an opinion, not one of many possible views. It is an affirmation of what ultimate reality is-dependable, trustable reality. We do not put our trust either in the ancient character of our Church or in any dogmas or doctrines. Our trust is in the One True God-Father, Son and Holy Spirit, eternal, self-existent, indivisible, infinite, incomprehensible, glorious, holy, not created or owing his being to something else, all-sovereign, Creator of the whole universe.
The Oriental Orthodox family has five Churches - India, Armenia, Syria, Egypt and Ethiopia - three in Asia and two in Africa. Total membership is over 25 millions. The Indian Orthodox Church is a strictly Asian-African Church, an Apostolic Church in continuity with the ancient West Asian Apostolic Church. This Church was established in India in the very first century by the Apostle. St. Thomas.
Spirituality may be defined as the life in and with the Holy Spirit. It is an ascetic and pious struggle against sin through repentance, prayer, fasting and participation in the sacramental life of the Church.
Syriac is the liturgical language of the St. Thomas Christians from a very early date, even though their identity and culture remained always truly Indian. This language, which belongs to the family of Semitic languages developed as an independent dialect of Aramaic with its own script in the 1st century A. D. Aramaic, believed to be in continuous use since 3000 years, was one of the most prominent languages of the middle east.
The Church’s ecclesiastical/ liturgical year starts with the Feast of sanctification (Qoodosh Etho). The Church has decided that the first Sunday that falls between October 30 and November 5 (inclusive) should be celebrated as the Feast of Sanctification. By celebrating this feast, the Church sets in motion the new Liturgical year.
They have taken over as the vicars of our cathedral since May 1st 2016. Both of them, in a short span, have earned the appreciation of the cathedral members for their dedicated work and friendly approach. Rev. Fr. Koshy Thomas Achen is also an excellent counselor. To fix an appointment with him, he can be contacted directly on his mobile or via mail.


Rapture refers to the event when faithful believers who believed in Jesus Christ as God, would be taken up to meet Christ in the mid air. All the believers of the New Testament time from the Day of Pentecost until Rapture would be lifted up. The Rapture triggers the events that follow as explained later.


Team members
Details
| Name: | John Smith | Change |
| Email: |<EMAIL_ADDRESS>| Change |
| Permission level: | Administrator | Edit permissions |
| Start date: | 8 Sep 2016 – 11:14:22 | |
| Last active: | Now | |
| Organisation: | Ministry of Government | |
| Service: | Money to Government |
| Name: | John Smith | Change |
| Email: |<EMAIL_ADDRESS>| Change |
| Permission level: | Administrator | Edit permissions |
| Start date: | 8 Sep 2016 – 11:14:22 | |
| Last active: | Now | |
| Organisation: | Ministry of Government | |
| Service: | Money to Government |


The people of the world have long dreamed of eliminating extreme poverty, educating children and
people of all ages, improving health, and creating a clean environment -- in other words, putting an
end to the suffering and limitations that block human potential and hold back its fulfillment.
The Sustainable Development Goals (SDGs), approved by the 2015 General Assembly, are an
agenda for working towards these goals. The SDGs are 17 goals for promoting development in three
major areas.
According to writer Ruth Kattamuri of the International Growth Center, the 17 SDGs can be divided
into these three categories:
End poverty in all its forms everywhere.
End hunger, improve nutrition and food security, and promote sustainable farming.
and well-being. Promote health and well-being for all ages.
Ensure equitable, inclusive and quality education for all ages.
Achieve gender equality and education for women and girls.
and sanitation. Ensure the availability of clean water for all.
Ensure access to affordable, sustainable energy for all.
and economic growth. Promote sustained, inclusive economic growth and employment for all
Build resilient infrastructure, sustainable industry, and foster innovation.
Reduce income inequality within and among countries.
and communities. Make human settlements safe, inclusive, and sustainable.
and production. Ensure sustainable production and consumption patterns.
Take urgent action to combat climate change by controlling emissions and promoting development of renewable energy.
Conserve and sustainably use bodies of water and their resources.
Sustainably manage forests and ecosystems, and combat desertification.
Provide access to justice for all and build inclusive societal institutions.
Conserve and sustainable use oceans and their resources.
The SDGs grew out of and expand upon the Millennium Development Goals (MDGs), a set of eight
development goals that the General Assembly put forth in the year 2000. The MDGs addressed human
development in eight major areas with a 15-year time period to work towards those goals.
Click here to learn more about the 8
Millennium Development Goals!
Buoyed by the
Millennium Development Goals' momentum, upon reaching
their target year in 2015, the General Assembly approved the Sustainable Development Goals. The latter
builds on and expands the comprehensiveness of the original MDGs. The
number of SDGs (17) is more than double the number of MDGs (8).
Both sets of goals (the SDGs and MDGs) highlight the necessity of development, with the SDGs putting
special emphasis on "interlinkages": overlaps or connections
among the different goals and their sustainability.
This is a term we have often heard, and even more so following the approval of the 17 Sustainable Development Goals. What do we mean by it? A report issued by the World Commission on Environment and Development (also called the Bruntland Commission) puts it succinctly:
In other words, “sustainable development” aims for balance so that certain development goals are
not compromised in the quest to achieve others. For example, in the quest for economic development, we
do not want to damage our natural environment by increasing the use of fossil fuels to step up
manufacturing.
Sustainable development recognizes the interlinkages among development goals and shows how
applying principles of sustainability to the pursuit of a given goal can also help further others.
Tanzania is now implementing a system that will give clean water access to many more of its
citizens in urban areas. This initiative also links to promoting the education of girls. How are
the two connected? Traditionally, in Tanzania, girls often walk many miles to obtain clean water for
their families. The time it takes for girls to collect water prevents them from having time to attend
school. The new “clean water” technology will free girls to spend their time in school instead of
making laborious journeys to fetch clean water.
To quote Bella Bird, World Bank Country Director for Tanzania, Burundi, Malawi, and Somalia, “In Dar es
Salaam, many citizens, including women and young girls, still spend considerable time collecting water,
which takes time away from education and the productive activities so necessary for strengthening their
livelihoods. This project aims to lessen their burden while contributing to Dar es Salaam’s increased
competitiveness and productivity as a critical and vibrant commercial hub of the country.”
(Source)
Tunisia received a grant to promote the use of solar power in a vital transportation network. The
use of sustainable energy in this area is key to its success. Conventional fuels in transportation have
been responsible for putting greenhouse gases into the air, and having deleterious effects on both the environment and the health of the local
people.
To promote the use of safe, alternative fuel in North Africa and the Middle East, UN-DESA gave a
grant to make traditional ferries into solar-powered vessels. An extensive water transportation network
is needed in this region and can now be maintained in an environmentally safe manner. This is part of
the “Powering the Future We Want” programme, which is devoted to implementing projects that keep sight
of interlinkages between the SDGs.


Mdt 2012 Deployment Guide Step by Step 9 of 11
Creating a Deployment Task Sequence
- From the Deployment Workbench, expand the customer Deployment Share and right-click on Task Sequences and select New Task Sequence
- Enter a Task Sequence ID and Name. Make a note of the ID as you may need it later!
- Accept the default “Standard Client Task Sequence” template
- Select the relevant OS Image to deploy
- This option will vary dependent on whether you are going to be using KMS or MAK licenses for their Windows 7 deployment.
MAK - Select Specify a multiple activation key (MAK key) for activating this operating system
and enter the relevant key
- Enter the relevant information in the OS Settings page
- Enter an Administrator password – this will be the local Admin password for the machines when built (Dilbert)
- Ensure the summary data is correct
- Accept the confirmation screen
The task sequence is now created. We can customise this to our hearts content but generally we don’t need to make too many changes.
9.1 Task Sequence Properties
When you edit a Task Sequence, there are multiple areas of configuration. The properties of a Task Sequence consists of three tabs – General, Task Sequence and OS Info.
General Tab
The General tab contains the summary information about the Task Sequence including the sequence ID, Name and any comments along with the list of client platforms which the sequence is allowed to run on.Task Sequence Tab
The task sequence example below is based on the “Standard Client Task Sequence” template provided by MDT but the screenshot below includes quite a bit of stuff which wasn’t needed for the environment concerned (sorry). Both 32 and 64 bit sequences are identical with the exception of the “Install Operating System” step which refers to the appropriate 32 or 64 bit custom OS image. Set DriverGroup001 Task Sequence Variable StepThis is an additional step we’ve added which sets the “DriverGroup001” variable to “%make%%model% which will automatically pick up the correct drivers from the repository based on manufacturer and model name. If we do not do this, MDT will just trawl through the entire Out-of-Box Drivers repository and try to determine the correct drivers based on PnP ID and it sometimes gets it wrong! This gives us a little more control! NOTE: DriverGroup001 needs to go immediately before the first “Inject Drivers” step.
OS Info Tab
The OS Info Tab’s contents will vary depending on which OS is being installed by the Task Sequence. For Windows 7, it simply consists of a single button to edit the unattend.xml file which controls the configuration settings of Windows 7 during deployment. Most elements of unattend.xml are automatically configured on-the-fly by MDT based on information provided during the Deployment Wizard although you can add additional elements manually. For MIL, we are letting MDT perform all of the configuration of unattend.xml based on settings we have pre-configured in the CustomSettings.ini (see section 4.1)Copying the Default Profile we Created before we Captured our Image:
While within this task sequence we need to modify our Unattend.xml file so that the image will keep our Default Profile. To do this, we must enable the CopyProfile setting within the Unattend.xml file but we can only do so from the Deployment Task Sequence, and NOT FROM THE CAPTURE TASK SEQUENCE. View the Images below for more details:


Across: 1. Lived among fish, sheltered (7) 5. Somewhat misanthropic, as someone who had a blue period... (7) 9. ...before damaged unit left (5) 10. Angry about just one colony resident getting nice stuff for breakfast (9) 11,22. Bogside 30/1/1972, which the Widgery Tribunal described duly as "nobody at fault" (6 6) 12. King meeting disaster in military unit (8) 14. Reprieve with the French setback (5) 16. One I try to reform, which 1st Batallion, 15 12 secured on 11 22 (9) 17. Endure war's chaos; you could be invested in some of it (9) 19. "Doctor", university identification for member of learned elite (5) 21. Withdrawing careless remark about Nicole, briefly lying low (8) 22. see 11 26. Agitated by troubled nuts? Troubles require getting SOS out! (9) 27. Almost a litre drunk in experiment (5) 28. Cups set out for Reverend Green perhaps (7) 29. Strange images involving a bit of refraction? (7) Down: 1. Small scrap could grow into gigantic rumble (5) 2. Lacking humour about second person from the past (7) 3. Agitated, with delirium largely returning (5) 4. An unproductive dig, but you might do it for cover (4) 5. Quiet uprising or streets in chaos? On 11 22 they were agitated about 13 2 27 (10) 6. Retired with money? That is socialist! (9) 7. See clan falling apart, with differences on all sides (7) 8. Lingered longer than you stated, which is bad (9) 13. Mint tenner badly, resulting in being locked up (10) 14. They are rewarded, being of real use at work (9) 15. Using a cape hurt badly... warrior might fly more safely with this! (9) 18. Gets out of shape - what you get for getting into bad meds! (7) 20. Dug in on issue, leading to downfall (7) 23. Complete state? (5) 24. Harnesses reports of rich non-whites (5) 25. Media piece was essentially incitement (4)


First Launch of UK OneWeb Communications Satellites From Baikonur Postponed
MOSCOW (Sputnik) - The first launch of UK communications satellites OneWeb from Russia's Baikonur Cosmodrome was initially supposed to take place on 19 December.
The launch of UK OneWeb space internet system satellites from the Baikonur space centre was postponed from December this year to January 2020, three sources in Russia's rocket and space industry revealed.
“The launch is being postponed due to the fact that the spacecraft are not ready. Their delivery to Baikonur is delayed from November to December 2019. The planned launch is postponed from 19 December to 23 January,” one of the sources said, with two other sources confirming this information.
OneWeb plans to create a constellation of satellites that will provide broadband Internet access to users around the world fully covering the Earth’s surface. In cooperation with Roscosmos, the UK communications company sent up its first satellites in February and has planned its next two launches for the end of this year and the first half of 2020.


Scenario
The health care provider often needs to provide reports of patient's personal information and their PMDs. However, not every patient knows about their patient ID. The provider would like to search this information by patient's name.
Operation
Patient names are stored in the 'patient_details' table and in the XML PMD document stored in the 'out_patient_data' table. A join between these two tables is required to obtain the desired results. XMLCAST function is used here to cast an XML data type to relational character so that the values can be compared in the WHERE clause.
Solution
The query on the right joins both relational and XML data, searches and returns patient's information by name.
Best Practices


class: right, bottom, white background-image: url(devconf-background.png) background-size: contain # Inception ## Dev Tips Marketplace ## Tomas Tomecek ??? * Usually, speakers create slides and use them during presentations. In this session, we are going to create content that I will share afterwards using a blog post. Inception! * Are you ready for a chill session where we share our favourite dev tips? * I will collect the replies and share them via DevConf.cz blog post. * We are going to use mentimeter service, so get ready! 100 characters limit. --- # Questions What programming language you enjoy right now? // wc Favourite git command, option or a technique? // wc What programming language feature you can't live without? // text Which shell alias are you most proud of? // text Most used text editor or IDE feature? // text Which tool makes your life easier? // wc What is the source to get latest tech news for you?


import {RatingModule} from 'freeng/freeng';
<free-rating></free-rating>
<free-rating theme="primary" [value]="3"></free-rating>
<free-rating theme="info" [value]="3"></free-rating>
<free-rating theme="success" [value]="3"></free-rating>
<free-rating theme="warning" [value]="3"></free-rating>
<free-rating theme="danger" [value]="3"></free-rating>
<free-rating [hover]="true" [value]="3"></free-rating>
<free-rating theme="primary" [half]="true" [hover]="true" [value]="3.5"></free-rating>
<free-rating [readonly]="true" [value]="3"></free-rating>
<free-rating (onChange)="ratingChange($event)"></free-rating>


To accommodate datasets that exceed available memory and CPU
resources, VISION creates pooled cells using a custom micropooling
algorithm. In standard use cases, the users provide the entire
expression matrix and VISION will create pooled cells with the
user-defined cellsPerPartition
argument as supplied to the
VISION object constructor. Analysis will resume on the pooled data
matrix, where each pooled cell has, on average,
cellsPerPartition
cells per pool. This significantly
reduces the run time, producing results from 500K cells in just under
around an hour. We also find that the local autocorrelation scores run
in the latent space as computed from the pooled cells is consistent with
that when these scores are computed from the entire dataset.
The micropooling algorithm relies on iterative clustering of the
latent space. Specifically, given an expression matrix and a
cellsPerPartition
target size, we use the following
procedure:
cellsPerPartition
cells per
cluster.By default, VISION does not allow micropooling within discrete classes (e.g. cell types, or batch) as we find that unbiased clusterings are the most sensible and reflective of the data. Instead, in the output report, pooled cells report their percent consistency of each discrete meta data item (e.g. a pooled cell is 80% CD4+ T cell and 20% CD8+ T cell). In this way, users may develop an intuition of the phenotype of each pooled cell. To note, users may also elect to perform clusterings outside of the VISION analysis pipeline and provide it to the VISION object constructor as pooled data - this allows users to perform micorclustering within discrete classes if they so wish.
In this vignette, we’ll be analyzing a set of ~5,000 cells during haematopoiesis (Tusi et al, Nature 2018).
Here, we’ll demonstrate a common use case of micropooling on the data:
library(VISION)
= as.matrix(read.table("data/hemato_counts.csv.gz", sep=',', header=T, row.names=1))
counts
# compute scaled counts
= median(colSums(counts))
scale.factor = t(t(counts) / colSums(counts)) * scale.factor
scaled.counts
# read in meta data
= read.table("data/hemato_covariates.txt.gz", sep='\t', header=T, row.names=1)
meta = meta[colnames(scaled.counts), -1]
meta
<- Vision(scaled.counts, meta = meta
vis signatures = c("data/h.all.v5.2.symbols.gmt"),
pool = T, cellsPerPartition = 5)
<- analyze(vis)
vis
viewResults(vis)
There may be reasons it is desired micropool outside of the main
VISION analyze()
function. For example, there may be
discrete classes that users may not wish to pool across (e.g. not
wanting to merge disease and control cells). Or, you may want to only
use the micropooling function independently of the rest of the pipeline.
This can be accomplished using the applyMicroClustering()
utility function as demonstrated here.
## Create scaled.counts and meta as shown above
<- applyMicroClustering(scaled.counts, cellsPerPartition = 5)
pools
# Create pooled versions of expression matrix and meta-data
<- poolMatrixCols(scaled.counts, pools)
pooledExpression <- poolMetaData(meta, pools)
pooledMeta
# These could then be fed into the VISION constructor
<- Vision(pooledExpression, meta = pooledMeta
vis signatures = c("data/h.all.v5.2.symbols.gmt"))
Alternately, if you already have a latent space computed and wish to
use this (instead of PCA) when pooling outside of the normal
Vision pipeline, you can provide it when calling
applyMicroClustering()
and later pool the latent space.
This is demonstrated below:
## Create scaled.counts and meta as shown above
<- applyMicroClustering(scaled.counts,
pools cellsPerPartition = 5, latentSpace = latentPpace)
# Create pooled versions of expression matrix and meta-data
<- poolMatrixCols(scaled.counts, pools)
pooledExpression <- poolMetaData(meta, pools)
pooledMeta <- poolMatrixRows(latentSpace, pools)
pooledLatentSpace
# These could then be fed into the VISION constructor
<- Vision(pooledExpression, meta = pooledMeta
vis signatures = c("data/h.all.v5.2.symbols.gmt"),
latentSpace = pooledLatentSpace)


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{@boolean renderSection1=true} {@boolean renderButtonSection1=true} {#include Common/insightsEmailBody} {#content-title} User Access - Console {/content-title} {#content-title-section1} Platform default access group change {/content-title-section1} {#content-body-section1}
Red Hat added a role {action.events[0].payload.role.name} to platform default access group.
{/content-body-section1} {#content-button-section1} Check this role in Insights {/content-button-section1} {/include}


Description
{{spaceSelected.overview.summary}}
Amenities
Parking
Coffee Machine
Easy Access
24hrs. Security
Internet
Private Phone
Air Conditioning
Heating
Printer
Meeting Room
TV Cable


5.8. Binary Tree Node Implementations (WORK IN PROGRESS)¶
5.8.1. Binary Tree Node Implementations¶
In this module we examine various ways to implement binary tree nodes. By definition, all binary tree nodes have two children, though one or both children can be empty. Binary tree nodes typically contain a value field, with the type of the field depending on the application. The most common node implementation includes a value field and pointers to the two children.
Here is a simple implementation for the
BinNode
interface, which we will name BSTNode
.
Its element type is an Object.
When we need to support search structures such as the
Binary Search Tree,
the node will typically store a
key-value pair.
Every BSTNode
object also has two pointers,
one to its left child and another to its right child.
// Binary tree node implementation: supports comparable objects
class BSTNode<E extends Comparable<? super E>> implements BinNode<E> {
private E element; // Element for this node
private BSTNode<E> left; // Pointer to left child
private BSTNode<E> right; // Pointer to right child
// Constructors
BSTNode() { left = right = null; }
BSTNode(E val) { left = right = null; element = val; }
BSTNode(E val, BSTNode<E> l, BSTNode<E> r)
{ left = l; right = r; element = val; }
// Get and set the element value
public E value() { return element; }
public void setValue(E v) { element = v; }
// Get and set the left child
public BSTNode<E> left() { return left; }
public void setLeft(BSTNode<E> p) { left = p; }
// Get and set the right child
public BSTNode<E> right() { return right; }
public void setRight(BSTNode<E> p) { right = p; }
// return TRUE if a leaf node, FALSE otherwise
public boolean isLeaf() { return (left == null) && (right == null); }
}
Some programmers find it convenient to add a pointer to the node’s parent, allowing easy upward movement in the tree. Using a parent pointer is somewhat analogous to adding a link to the previous node in a doubly linked list. In practice, the parent pointer is almost always unnecessary and adds to the space overhead for the tree implementation. It is not just a problem that parent pointers take space. More importantly, many uses of the parent pointer are driven by improper understanding of recursion and so indicate poor programming. If you are inclined toward using a parent pointer, consider if there is a more efficient implementation possible.
An important decision in the design of a pointer-based node implementation is whether the same class definition will be used for leaves and internal nodes. Using the same class for both will simplify the implementation, but might be an inefficient use of space. Some applications require data values only for the leaves. Other applications require one type of value for the leaves and another for the internal nodes. Examples include the binary trie, the PR Quadtree, the Huffman coding tree, and the expression tree illustrated by Figure 5.9.2. By definition, only internal nodes have non-empty children. If we use the same node implementation for both internal and leaf nodes, then both must store the child pointers. But it seems wasteful to store child pointers in the leaf nodes. Thus, there are many reasons why it can save space to have separate implementations for internal and leaf nodes.
As an example of a tree that stores different information at the leaf and internal nodes, consider the expression tree illustrated by Figure 5.9.2. The expression tree represents an algebraic expression composed of binary operators such as addition, subtraction, multiplication, and division. Internal nodes store operators, while the leaves store operands. The tree of Figure 5.9.2 represents the expression \(4x(2x + a) - c\). The storage requirements for a leaf in an expression tree are quite different from those of an internal node. Internal nodes store one of a small set of operators, so internal nodes could store a small code identifying the operator such as a single byte for the operator’s character symbol. In contrast, leaves store variable names or numbers, which is considerably larger in order to handle the wider range of possible values. At the same time, leaf nodes need not store child pointers.
Object-oriented languages
allow us to differentiate leaf from
internal nodes through the use of a class hierarchy.
A base class provides a general definition for an
object,
and a subclass modifies a base class to add more detail.
A base class can be declared for binary tree nodes in general,
with subclasses defined for the internal and leaf nodes.
The base class in the following code is named
VarBinNode
.
It includes a virtual member function named
isLeaf
, which indicates the node type.
Subclasses for the internal and leaf node types each implement
isLeaf
.
Internal nodes store child pointers of the base class type;
they do not distinguish their children’s actual subclass.
Whenever a node is examined, its version of isLeaf
indicates
the node’s subclass.
// Base class for expression tree nodes
public interface VarBinNode {
public boolean isLeaf(); // All subclasses must implement
}
/** Leaf node */
public class VarLeafNode implements VarBinNode {
private String operand; // Operand value
VarLeafNode(String val) { operand = val; }
public boolean isLeaf() { return true; }
public String value() { return operand; }
}
// Internal node
public class VarIntlNode implements VarBinNode {
private VarBinNode left; // Left child
private VarBinNode right; // Right child
private Character operator; // Operator value
VarIntlNode(Character op, VarBinNode l, VarBinNode r)
{ operator = op; left = l; right = r; }
public boolean isLeaf() { return false; }
public VarBinNode leftchild() { return left; }
public VarBinNode rightchild() { return right; }
public Character value() { return operator; }
}
// Preorder traversal
public static void traverse(VarBinNode rt) {
if (rt == null) { return; } // Nothing to visit
if (rt.isLeaf()) { // Process leaf node
Visit.VisitLeafNode(((VarLeafNode)rt).value());
}
else { // Process internal node
Visit.VisitInternalNode(((VarIntlNode)rt).value());
traverse(((VarIntlNode)rt).leftchild());
traverse(((VarIntlNode)rt).rightchild());
}
}
# Base class for expression tree nodes
class VarBinNode:
def isLeaf(self): # All subclasses must implement
raise NotImplementedError
# Leaf node
class VarLeafNode(VarBinNode):
def __init__(self, val):
self.operand = val
def isLeaf(self):
return True
def value(self):
return self.operand
# Internal node
class VarIntlNode(VarBinNode):
def __init__(self, op, l, r):
self.operator = op
self.left = l
self.right = r
def isLeaf(self):
return False
def leftchild(self):
return self.left
def rightchild(self):
return self.right
def value(self):
return self.operator
# Preorder traversal
def traverse(rt):
if rt is None:
return # Nothing to visit
if rt.isLeaf(): # Process leaf node
VisitLeafNode(rt.value())
else: # Process internal node
VisitInternalNode(rt.value())
traverse(rt.leftchild())
traverse(rt.rightchild())
The Expression Tree implementation includes two subclasses derived
from class VarBinNode
, named LeafNode
and
IntlNode
.
Class IntlNode
can access its children through
pointers of type VarBinNode
.
Function traverse
illustrates the use of these classes.
When traverse
calls method isLeaf
,
the language’s runtime environment
determines which subclass this particular instance of rt
happens to be and calls that subclass’s version of isLeaf
.
Method isLeaf
then provides the actual node type to its
caller.
The other member functions for the derived subclasses are accessed by
type-casting the base class pointer as appropriate, as shown in
function traverse
.


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Part of elita.deployment.deploy View In Hierarchy
Break deployment up into server/gitdeploy batches, then invoke DeployController with each batch sequentially
| Method | __init__ | |
| Method | get_nonrolling_groups | Undocumented |
| Method | compute_batches | Undocumented |
| Method | run_hook | Undocumented |
| Method | run | Run rolling deployment. This should be called iff the deployment is called via groups/environments |


{% load i18n %}
{% trans 'Set "Actual Total Memory" is known as memory balloon. It is to specify how much memory this instance can actually use. It does not change the flavor. The value is smaller than or equal the memory size in origial flavor.' %}
{% trans "Memory size is required." %}
{% trans "Input Memory can't be more than Flavor ram." %}


A simple example program that uses a set is a spelling checker.
NOTE -- This program can be found in the file spell.cpp.
The checker takes as arguments two input streams: the first represents a stream of correctly spelled words (that is, a dictionary), and the second a text file. To begin, the dictionary is read into a set. This is performed with a std::copy() function and an input stream iterator, copying the values into an inserter for the dictionary. Next, words from the text are examined one by one, to see if they are in the dictionary. If they are not, they are added to a set of misspelled words. After the entire text has been examined, the program outputs the list of misspelled words.
typedef std::set <std::string, std::less<std::string>, std::allocator<std::string> > stringset; typedef std::ostream_iterator<std::string, char, std::char_traits<char> > ostrm_iter; typedef std::istream_iterator<std::string, char, std::char_traits<char>, ptrdiff_t> istrm_iter; void spellCheck (istream& dictionary, istream& text) { stringset words, misspellings; std::string word; istrm_iter eof, dstream (dictionary); // First read the dictionary. std::copy (dstream, eof, std::inserter (words, words.begin ())); // Next read the text. while (text >> word) if (! words.count (word)) misspellings.insert (word); // Finally, output all misspellings. std::cout << std::endl << "Misspelled words:" << std::endl; std::copy (misspellings.begin (), misspellings.end (), ostrm_iter (std::cout, "\n")); }
An improvement would be to suggest alternative words for each misspelling. There are various heuristics that can be used to discover alternatives. The technique we use here is to simply exchange adjacent letters. To find these, a call to the following function is inserted into the loop that displays the misspellings:
{ for (int I = 1; I < word.length(); I++) { std::swap(word[I-1], word[I]); if (words.count(word)) std::cout << "Suggestion: " << word << std::endl; // put word back as before std::swap(word[I-1], word[I]); } }


--- layout: null section-type: about title: About --- ## About Hi there! My name is Ioannis and I come from the beautiful city of Piraeus, Athens, Greece. I received my Diploma in Electronic & Computer Engineering at the Technical University of Crete (TUC) in Chania in 2010 and my M.Sc degree in Networked Computer Systems at the "Grande École" Télécom ParisTech (ENST) in Paris in 2013. Currently I am living in Paris and my interests lie in the field of software engineering and telecommunications. This is my personal web site.


#include <ThumperCmd.h>
◆ ThumperCmd()
| SGCore::Haptics::ThumperCmd::ThumperCmd |
( |
int |
magn | ) |
|
Create a new Thumper Command
- Parameters
-
- Returns
◆ Copy()
Duplicate Thumper command
- Returns
◆ Equals()
| bool SGCore::Haptics::ThumperCmd::Equals |
( |
ThumperCmd |
other | ) |
|
|
virtual |
◆ Merge()
Merge two ThumperCommands into one.
- Parameters
-
- Returns
◆ Validate()
| int SGCore::Haptics::ThumperCmd::Validate |
( |
int |
value | ) |
|
|
protected |
◆ magnitude
| int SGCore::Haptics::ThumperCmd::magnitude |
Thumper intensity, a level between 0 and 100.
◆ off
A command that turns off all force feedback on the Sense Glove.
◆ thmpMax
| int SGCore::Haptics::ThumperCmd::thmpMax = 100 |
|
staticprotected |
Maximum Force-Feedback Level
◆ thmpMin
| int SGCore::Haptics::ThumperCmd::thmpMin = 0 |
|
staticprotected |
Minimum Force-Feedback Level
The documentation for this class was generated from the following files:
- C:/Gitlab-Runner/builds/yDcLA2Qt/0/senseglove/senseglove-backend/sgcorecpp/src/SGCoreCpp/ThumperCmd.h
- C:/Gitlab-Runner/builds/yDcLA2Qt/0/senseglove/senseglove-backend/sgcorecpp/src/SGCoreCpp/ThumperCmd.cpp